HannIT AöR (Hannoversche Informationstechnologien – Anstalt öffentlichen Rechts) is the IT service provider for the Hannover region and about 30 other districts and municipalities in Lower Saxony. The security computer centre with distributed locations forms the system technical basis for the operation and further development of administrative procedures.
The Competence Centre Mobility and GIS is in charge of traffic information and planning systems, such as electronic timetable information or network availability maps. The services offered by hannIT AöR include

• the electronic timetable information in Lower Saxony and Bremen (EFA), among others for GVH (Großraum Verkehr Hannover) and Braunschweig ,
• the operation of the DELFI-Landesserver for Lower Saxony,
• the real-time connection of the public transport companies in the GVH
• multimodal routing (public transport, car, bicycle, pedestrian …)

In addition, hannIT as a service provider is significantly involved in projects such as

• Connect GmbH (data integration for Lower Saxony and Bremen),
• DELFI e.V. (Germany-wide timetable information),
• EU-Spirit (Association of European directory assistance systems)

In the D4UM project hannIT AöR 

• ensures that the platform (hardware and software) is available
• coordinates the provision of SW solutions,
• collaborates on data protection and security rules
• creates the basis for the integration of IV real-time data and historical charts into the EFA timetable information (Prototype)

• SoK: Poisoning Attacks and Defenses in Federated and Privacy-Preserving Machine Learning. Prantl, Thomas; Kulle, Edda; Horn, Lukas; Engel, Simon; Kounev, Samuel (2027). 2027
• SoK: Poisoning Attacks and Defenses in Federated and Privacy-Preserving Machine Learning. Prantl, Thomas; Kulle, Edda; Horn, Lukas; Engel, Simon; Kounev, Samuel (2027). 2027
• SoK: Poisoning Attacks and Defenses in Federated and Privacy-Preserving Machine Learning. Prantl, Thomas; Kulle, Edda; Horn, Lukas; Engel, Simon; Kounev, Samuel (2027). 2027
• SoK: Poisoning Attacks and Defenses in Federated and Privacy-Preserving Machine Learning. Prantl, Thomas; Kulle, Edda; Horn, Lukas; Engel, Simon; Kounev, Samuel (2027). 2027
• SoK: Poisoning Attacks and Defenses in Federated and Privacy-Preserving Machine Learning. Prantl, Thomas; Kulle, Edda; Horn, Lukas; Engel, Simon; Kounev, Samuel (2027). 2027
• SoK: Poisoning Attacks and Defenses in Federated and Privacy-Preserving Machine Learning. Prantl, Thomas; Kulle, Edda; Horn, Lukas; Engel, Simon; Kounev, Samuel (2027). 2027
• Management of Mental Health in Nigerian Tertiary Institutions. Mary Adanna Chinwuba, Adamu Awwal Salman (2026). 4(1) 52–57.

  The study explored various strategies to promote mental health in Nigerian tertiary institutions. The study used secondary data. The secondary data were collected from both print and online publication. The study concluded that promoting mental health in tertiary institutions requires a multi-dimensional approach involving accessible campus counseling services, mental health awareness campaigns, integration of mental health education into the curriculum, peer support systems, stress management workshops, supportive campus environments, and strategic collaborations with external mental health organizations. Based on these findings, the study recommends that establishment and strengthening of campus mental health services: conduct regular mental health awareness campaigns: integrate mental health education into the curriculum: develop peer support networks: organize stress management and life skills workshops: create a supportive and inclusive campus environment: collaborate with external mental health agencies: monitor and evaluate mental health programs and government and policy support.
• Measuring Compression Honestly: A Dense-FP16 Baseline for Quantization and Sparsity on CNNs and Vision Transformers. Prantl, Thomas; Barthel, Til; Borst, Vanessa; Kounev, Samuel (2026).
• Measuring Compression Honestly: A Dense-FP16 Baseline for Quantization and Sparsity on CNNs and Vision Transformers. Prantl, Thomas; Barthel, Til; Borst, Vanessa; Kounev, Samuel (2026).
• Measuring Compression Honestly: A Dense-FP16 Baseline for Quantization and Sparsity on CNNs and Vision Transformers. Prantl, Thomas; Barthel, Til; Borst, Vanessa; Kounev, Samuel (2026).
• ACS-Boot: Efficient Randomized Smoothing for Robustness Certification on Resource-Constrained Edge Devices. Lin, Miao; Zhang, Junrui; Li, Jian; Yu, Feng; Li, Lusi; Xin, Chunsheng; Wu, Hongyi; Ning, Rui (2026). 1–10.
• Yangihayot Tumanida Kriminogen Vaziyati Og‘Ir Hududlarda Jinoyatchilikning Oldini Olish Samaradorligini Oshirish Xususiyatlari. Mo‘minov, N. A. (2026). 4(1) 38–47.

  Maqolada Toshkent shahri Yangihayot tumani misolida kriminogen vaziyati og‘ir mahallalarda jinoyatchilikning oldini olish samaradorligini oshirish masalalari ilmiy-amaliy jihatdan tahlil qilingan. Tadqiqot doirasida mahallalar kesimida jinoyatchilikning sabablari, tarkibiy tuzilmasi va uni keltirib chiqarayotgan ijtimoiy, infratuzilmaviy hamda institutsional omillar o‘rganilgan. Ilmiy tahlil kriminologik determinatsiya, ijtimoiy nazorat va situatsion profilaktika nazariyalari asosida amalga oshirilgan. Maqolada davlat buyurtmalari asosida ilmiy tadqiqotlarni tashkil etish, matematik modellashtirish usullarini jinoyatchilik prognozida qo‘llash, mahalla yuridik klinikalari va ommaviy axborot vositalarining profilaktikadagi rolini kuchaytirish bo‘yicha ilmiy asoslangan takliflar ilgari surilgan.
• Tabobat Va Zamonaviy Tibbiyot: Integrativ Yondashuvning Ahamiyati. Shoimova S. SH, L. S. Yuldasheva (2026). 4(1) 34–37.

  Ushbu maqolada tibbiyot tizimida tabobatning o‘rni va ahamiyati ilmiy hamda falsafiy nuqtai nazardan tahlil qilinadi. Zamonaviy tibbiyot texnologik va ilmiy taraqqiyotga tayangan holda rivojlanayotgan bir sharoitda, ko‘p asrlik tajribaga ega bo‘lgan tabobat usullarining dolzarbligi saqlanib qolayotganligi asoslab beriladi. Tadqiqot davomida tabobatning nazariy asoslari, uning inson organizmiga kompleks yondashuvi hamda kasalliklarning oldini olishdagi roli o‘rganiladi. Maqolada dialektik, tahliliy va taqqoslash metodlaridan foydalanilib, tabobatning zamonaviy tibbiyot bilan o‘zaro munosabatlari baholanadi. Olingan natijalar tabobatni to‘liq inkor etish yoki uni mutlaq davolash tizimi sifatida qabul qilish ilmiy jihatdan asoslanmaganligini ko‘rsatadi. Aksincha, tabobat usullarini ilmiy mezonlar asosida baholash va ularni zamonaviy tibbiyot bilan integratsiya qilish imkoniyatlari mavjudligi aniqlanadi.
• Pisa Xalqaro Baholash Dasturlaridan Foydalanishning Innovatsion Texnologiyalari. qizi, Mamadaliyeva Dildora Shuhratjon (2026). 4(1) 29–33.

  Mazkur maqolada PISA xalqaro baholash dasturlaridan foydalanishda innovatsion texnologiyalarning ta’lim samaradorligiga ta’siri tahlil qilinadi. Tadqiqot aralash metodologiya asosida olib borilib, eksperimental va nazorat guruhlari natijalari solishtirildi. Innovatsion pedagogik va raqamli texnologiyalarni joriy etish o‘quvchilarning funksional savodxonligi, tanqidiy fikrlashi va muammo yechish kompetensiyalarini rivojlantirishda samarali ekani aniqlandi. Tadqiqot natijalari PISA talablari asosida ta’lim jarayonini modernizatsiya qilish uchun ilmiy-amaliy tavsiyalar ishlab chiqishga imkon beradi.
• Особенности Применения Профайлинга При Обеспечении Общественной Безопасности На Рынках. Даврон Мирагзамович Миразов, Светлана Михайловна Селиманова (2026). 4(1) 23–28.

  Данная статья выполнена в рамках практического грантового проекта №ALM-202310202738 «Разработка инновационной технологии профайлинга для использования в деятельности по обеспечению общественной безопасности». В статье рассматриваются теоретические и практические аспекты применения технологии профайлинга при обеспечении общественной безопасности на объектах розничной торговли, в частности на рынках. Анализируются специфические условия функционирования рынков как объектов с массовым пребыванием людей, характеризующихся повышенной криминогенной и террористической уязвимостью. Исследуются методологические основы адаптации профайлинговых технологий, первоначально разработанных для авиационной безопасности, к условиям торговых площадок открытого и закрытого типа. Предлагаются практические рекомендации по внедрению профайлинга в систему обеспечения безопасности рынков.
• Oila Yoshlarning Aksiologik Tizimini Shakllantirish Manbai Sifatida: Ota-Onalar Va Farzandlarning Qadriyatlar Tizimi O‘Rtasidagi Uyg‘Unlik. Elov. Z. S, Hakimov Bektosh Abdurahmonovich (2026). 4(1) 19–22.

  Mazkur tadqiqot yoshlar va ularning ota-onalari qadriyatlar tizimini qiyosiy tahlil qilishga bag‘ishlangan. Tadqiqot natijalari har ikki avlod aksiologik tizimida allotsentrik va proijtimoiy qadriyatlar ustuvor ekanligini ko‘rsatdi. “Haqiqiy do‘stlik” va “yetuk muhabbat” kabi qadriyatlar barqaror va markaziy ahamiyatga ega bo‘lib, shaxslararo munosabatlarning mustahkamlanishiga xizmat qiladi. Fuqarolik va moddiy qadriyatlar esa kamroq ahamiyatga ega deb baholandi. Yoshlar va ota-onalar o‘rtasidagi farq asosan hordiq va lazzatlanish qadriyatlariga bo‘lgan munosabatda namoyon bo‘ldi. Tadqiqot oilaning yosh avlod qadriyatlarini shakllantirishdagi yetakchi rolini tasdiqlaydi.
• The Relationship Between Self-Regulation Skills for Learning and Academic Endurance Among Students of the Babylon Technical Institute. Awatif Hameed Salih, Farah Majeed Mandeel (2026). 4(1) 10–18.

  This research aims to study the relationship between self-regulation skills for learning and students' academic endurance. The research highlights how self-regulation skills influence students' learning and academic endurance by enhancing democratic practices. Promoting innovation and increasing social and psychological stability. The results showed that students with self-regulation skills demonstrated a high capacity for learning and resilience, and also showed improvement in their academic performance. One of the most notable findings was that students who followed policies that encouraged the relationship between different skills showed a 35% improvement in academic performance, learning ability, and resilience. The study also showed that self-learning skills affect its ability to enhance and improve learning and academic endurance. Key recommendations include embracing lifelong learning, utilizing diverse resources, setting goals, encouraging continuous learning, practicing self-discipline, promoting positive thinking, engaging in ongoing training, managing personal emotions effectively, fostering strong professional relationships, and collaborating with others. The research demonstrates the importance of the relationship between self-regulation skills and academic endurance among students at the Babylon Technical Institute
• STRATEGIES TO ADDRESS ACADEMIC ABSCONDMENT IN NIGERIAN TERTIART INSTITUTIONS. Niyi Jacob Ogunode, Ayodele Ebunolu Nwisagbo (2026). 4(1) 1–10.

  The paper explores different strategies that can be adopted and deployed to address the problems of academic abscondment in the Nigerian tertiary institutions. The paper employed the used of secondary data. The various data were collected through print resources and online publications. The paper find out that strengthening bond agreements and legal enforcement, establishing effective monitoring and tracking mechanisms, providing incentives and attractive working conditions, strengthening institutional accountability, promoting national loyalty and ethical orientation, bilateral agreements with host countries and universities, establishing a centralized database and sanction mechanism and strengthening post-return reintegration and career development are some of thestrategies that can be adopted and be deployed to address the problems of academic abscondment in the Nigerian tertiary institutions.Based on these strategies identified, the paper hereby recommend that the Federal Ministry of education and Tertiary Education Trust Fund (TETFund) should adopt the various strategies and combine them with a multi-dimensional approach such as enforcement, motivation, and systemic reform. By ensuring strict compliance with sponsorship agreements, improving working conditions, fostering patriotism, and enhancing institutional accountability, Nigeria can minimize brain drain and fully realize the objectives of TETFund’s human capacity development initiatives.
• Sustainability Challenges and Rural Livelihoods in the Aravali Region: Assessing the Impact of Mining – Pathway to Vikshit Bharat 2047 (A Case Study of Girwa Tehsil, Udaipur, Rajasthan). Rubi Kumari, Dr Pankaj Rawal (2026). 4(2) 13–19.

  The Aravalli Hills, among India’s oldest geological formations, play a vital ecological role as a natural barrier against desertification and as a protector of biodiversity and groundwater recharge. Extending across nearly fifteen districts of Rajasthan, the range is central to the state’s environmental and socio - economic balance. Rajasthan, often termed a “museum of minerals,” is one of India’s most mineral - rich states, and the Aravalis serve as a significant repository of diverse mineral deposits. Field research reveals that livelihoods in mining - affected areas of the Aravalis are increasingly under stress. Two critical concerns have emerged: a sharp decline in underground water levels and the loss of flora and fauna essential for ecological stability and animal sustenance. Mining leases within spans of 3 – 5 kilometers are simultaneously extracting minerals, groundwater, and biological resources, intensifying environmental degradation. This study highlights the dual role of the Aravalis as both a mineral repository and an ecological lifeline, emphasizing the urgent need for sustainable resource management to safeguard biodiversity, water security, and rural livelihoods
• The Nuremberg Chronicle 1493: Transcriptions. Schrausser, Dietmar (2026). 2026 1–70.

  Annotated transcriptions from the Nuremberg Chronicle, fol. Ir to VIIr in Latin (Schedel, 1493), Early New High German, ENHG (Schedel & Alt, 1493, 1496, res.) and from the English translation by Hadavas (2023) in comparison.
• Harvesting Existential Experiences with Cultural Probes: Methodological Reflections on Sacred and Personal Data. Papenfuß, Nathalie; Wolf, Sara (2026, October).

  The SPIRITED Workshop “SoulSync: Exploring Technological Resonance in Religious and Spiritual Energy” lights up the curiosity about investigating the experiences related to interactive technologies in human existence. Interactive technologies interfere with people’s actions and attitudes on their lives, and discreetly inform their experiences and reflections (e.g. Frauenberger (2019), Kaptelinin (2016), Kaptelinin (2018), Nguyen et al (2022), Verbeek (2015)). Following this, to understand and design for a meaningful life, it is essential to make experiences and reflections of humans accessible for scientific inquiry. In my research, I investigate how participants’ reflections on existential concerns (i.e., meaning, identity, isolation, death, and freedom) can be systematically captured to inform HCI inquiry (Kaptelinin (2018)) using cultural probes. Based on my methodological research on applying cultural probes in Existential HCI, I argue that qualitative methods are a suitable approach for eliciting, capturing and documenting existential concerns. This work highlights three challenges of existential probing, as evidenced by participants' statements, the first author's personal reflections, and the initiation of discursive questions for Spiritual Informatics and the workshop theme “Harvesting & Generating R/S Energy”. The statements reveal the challenges of translating inner experiences into structured, communicable language through an organically chaotic process, the difficulty of selecting representative and synthesized experiences, and the fragile reflective engagement under real-life constraints, particularly during transitions or when resources are limited in terms of time, space, and emotional capacity.
• Rethinking CIRS: Current Reporting Practice and Conceptual Proposal of Conversational AI Agents for Critical Incident Reporting Systems Papenfuß, Nathalie; Huber, Stephan; Happel, Oliver; Hölzing, Carlos Ramon (2026). Association for Computing Machinery, New York, NY, USA.

  Critical Incident Reporting Systems (CIRS) are considered to improve patient safety in healthcare. However, the effectiveness of CIRS depends on healthcare professionals’ commitment to report incidents. First, we gain an understanding of healthcare professionals’ current use and negligence of CIRS through thematic analysis of interviews with anesthesiologists and nurses. Second, we elaborate on conceptual roles of CIRS and sketch conversational AI features. Instead of an unpopular stigmatized report-only form, CIRS could support healthcare professionals as a digital companion that enables narrative reporting, encourages learning processes and reporting of near-misses and success stories, and enables following and completing submitted reports anonymously. We conclude that the current abilities of CIRS misalign with user needs and contextual requirements. We contribute (1) qualitative insights on (non-)usage of CIRS and (2) rethink the role of CIRS, speculating on features to entail Safety-II. Our envisioned conversational AI agents support reporting activities to ultimately increase reporter engagement.
• Existential Probes: A Method to Elicit Existential Concerns in HCI Papenfuß, Nathalie; Wolf, Sara; Kutter, Lena; Hurtienne, Jörn (2026). Association for Computing Machinery, New York, NY, USA.

  Existential HCI argues that interactive technologies shape the experience of human existence, including questions of identity, freedom, and meaning. While this perspective is grounded in established theory, concrete methodological examples of empirical research and design practice are limited. To address this gap, we developed and deployed Existential Probes, a participant-led inquiry method inspired by the existential inquiry framework. We present the iterative development and field deployment with 13 young adults and show how Existential Probes make existential concerns visible early in the design process. Reflecting on this process, we identify methodological tensions that relate not only to Existential Probes but to probes more generally: probes focus on material, but language is equally important; probes provoke reflection on existential concerns, but do not provide coping support; and their outcomes impact participants and researchers. We conclude with practical considerations for integrating existential concerns into HCI practice and reconsidering principles of probe-based methods.
• Hyperscale: Ambition, Power and the Relentless Rise of Data Empires Marx, Paris (2026). Profile Books, London.

  Tech Won’t Save Us host Paris Marx pulls back the curtain on the hyperscale data centers powering the AI boom, revealing the cost of these infrastructures for communities and the planet, all while asking whether Silicon Valley’s vision of the future is one worth embracing.
• Muzey Turizmining Hududiy Iqtisodiy Rivojlanishga Ta’siri. Yulduz Urinbayeva Pirnazarovna, Sharipova Shahnozabonu (2026). 4(2) 20–22.

  Mazkur maqolada muzey turizmining hududiy iqtisodiy rivojlanishga ta’siri makroiqtisodiy yondashuv asosida tahlil qilinadi. Tadqiqot jarayonida madaniy turizm tarkibida muzeylarning o‘rni, ularning turizm oqimini shakllantirishdagi roli hamda hududiy iqtisodiy o‘sishga qo‘shayo tgan hissasi o‘rganildi. Statistik ma’lumotlar asosida muzey turizmi turistlar sonining oshishi, turizm daromadlarining ko‘payishi hamda xizmatlar sektorining rivojlanishiga ijobiy ta’sir ko‘rsatishi aniqlandi. Tadqiqot natijalari muzey turizmi hududiy iqt isodiy rivojlanishning muhim omillaridan biri ekanligini ko‘rsatadi
• Ekologik Turizmni Rivojlantirish Istiqbollari. o’g’li, Ravshanov To’lqin Nodirjon (2026). 4(2) 23–28.

  Mazkur maqolada ekoturizmni rivojlantirishning nazariy va amaliy jihatlari, shuningdek, uning O‘zbekiston sharoitidagi istiqbollari tahlil qilingan. Tadqiqotda atrof-muhitni muhofaza qilish, tabiiy resurslardan oqilona foydalanish hamda turizm faoliyatini ekologik tamoyillar asosida tashkil etish masalalariga alohida e’tibor qaratilgan. Ekoturizmning iqtisodiy, ijtimoiy va ekologik ahamiyati, uning barqaror rivojlanishdagi o‘rni hamda hududiy turistik salohiyatni oshirishdagi roli yoritilgan. Shuningdek, mamlakatimizdagi mavjud tabiiy va madaniy resurslardan samarali foydalanish orqali ekoturizmni rivojlantirish yo‘nalishlari hamda ushbu sohani takomillashtirish bo‘yicha ilmiy asoslangan takliflar berilgan.
• Maximum Matching Size for Bounded Arboricity Graphs in the Dynamic Graph Stream Model using ~O. McGregor, Andrew (2026).
• Measuring Compression Honestly: A Dense-FP16 Baseline for Quantization and Sparsity on CNNs and Vision Transformers. Prantl, Thomas; Barthel, Til; Borst, Vanessa; Kounev, Samuel (2026).
• Measuring Compression Honestly: A Dense-FP16 Baseline for Quantization and Sparsity on CNNs and Vision Transformers. Prantl, Thomas; Barthel, Til; Borst, Vanessa; Kounev, Samuel (2026).
• Digitale Werkzeuge zur Erschließung historischer Schulbücher: ATR, NER und NEL. Keupp, Corinna; Haitz, Janik; Langhanki, Florian; Reul, Christian; Hertling, Anke; Dombrowski, Fabian; Klaes, Sebastian (2026). 46(3) 236–249.
• Oliy Ta’limda Funksional Savodxonlikni Shakllantirishning Pedagogik Shart-Sharoitlari. qizi, Hamroyeva Nilufar Bahron (2026). 4(1) 58–61.

  Mazkur maqolada oliy ta’lim muassasalarida funksional savodxonlikni shakllantirishning pedagogik shart-sharoitlari ilmiy-nazariy va amaliy jihatdan tahlil qilinadi. Funksional savodxonlik zamonaviy jamiyatda shaxsning bilim, ko‘nikma va kompetensiyalarini real hayotiy vaziyatlarda samarali qo‘llay olish qobiliyatini ifodalaydi. Tadqiqotda funksional savodxonlik tushunchasining mazmuni, uning oliy ta’lim jarayonidagi ahamiyati hamda zamonaviy pedagogik texnologiyalar asosida rivojlantirish yo‘llari ochib berilgan. Maqolada funksional savodxonlikni shakllantirishga ta’sir etuvchi asosiy pedagogik shart-sharoitlar — kompetensiyaviy yondashuv, ta’lim mazmunining amaliy yo‘naltirilganligi, zamonaviy pedagogik texnologiyalardan samarali foydalanish, talabaning mustaqil va ijodiy faoliyatini qo‘llab-quvvatlash masalalari yoritilgan. Shuningdek, interfaol metodlar, loyiha asosida o‘qitish, muammoli ta’lim va raqamli texnologiyalarning funksional savodxonlikni rivojlantirishdagi o‘rni asoslab berilgan. Maqola natijalari oliy ta’lim muassasalarida o‘quv jarayonini takomillashtirish, ta’lim sifatini oshirish va raqobatbardosh mutaxassislar tayyorlashda amaliy ahamiyatga ega.
• Taming the Heavy Tail: Age-Optimal Preemption. Li, Aimin; Ince, Yigit; Uysal, Elif (2026). 1–6.
• e3SIM: Epidemiological-ecological-evolutionary simulation framework for genomic epidemiology. Xu, Peiyu; Liang, Shenni; Hahn, Andrew; Zhao, Vivian; Lo, Wai Tung ‘Jack’; Haller, Benjamin C.; Sobkowiak, Benjamin; Chitwood, Melanie H.; Colijn, Caroline; Cohen, Ted; Rhee, Kyu Y.; Messer, Philipp W.; Wells, Martin T.; Clark, Andrew G.; Kim, Jaehee (2026). 17(4) 1051–1059.

  Abstract Infectious disease dynamics result from the complex interplay of epidemiological, ecological and evolutionary (epi-eco-evo) processes. Accurately modelling these coupled processes is crucial for understanding pathogen spread and informing public health strategies. However, existing genomic epidemiology simulators typically assume conditional independence among these processes: generating transmission trees independently of pathogen evolution, and then superimposing neutral mutations onto fixed genealogies without ecological feedback. This simplification fails to capture how pathogen evolution dynamically reshapes epidemic trajectories. We introduce e3SIM, an open-source, agent-based, forward-time simulator for macOS and Linux that explicitly integrates pathogen transmission dynamics, molecular evolution and environmental factors. e3SIM incorporates configurable compartmental models, user-defined host contact networks, customizable pathogen genetic architectures and optional eco-evolutionary features (e.g. within-host dynamics, multi-strain infections). This integration enables realistic modelling of pathogen spread and evolution. Key features include modularity, flexible epidemiological and population-genetic modelling, time-varying environmental factors and a user-friendly graphical interface. We demonstrated e3SIM's capabilities by simulating SARS-CoV-2 and Mycobacterium tuberculosis outbreaks. e3SIM captured the emergence and spread of drug-resistant variants under sequential treatments, highlighting how pathogen evolution and environmental variations dynamically reshape epidemic trajectories. We also illustrated how interactions between pathogen transmissibility and host population structures, particularly those involving socially active “superspreaders”, strongly influence pathogen lineage expansion and transmission clusters. Runtime profiling demonstrated computational efficiency and scalability. e3SIM provides a powerful tool for simulating infectious disease dynamics through the explicit integration of epi-eco-evo processes, substantially enhancing realism and predictive accuracy in genomic epidemiology. Its modular, user-friendly design supports broad applications across diverse host-pathogen systems, enabling rigorous exploration of scenarios critical to public health.
• Distributed Polynomial-in-the-Action VRFs with Proactive Refresh. Minamide, Hiroki in Lecture Notes in Computer Science, T. H. Yuen, S.-F. Sun (eds.) (2026). (Vol. 17082) 414–423.
• TornaLink: Toward Linking Tornado Cash Deposits to Withdrawals via DeFi Fingerprints. Xiao, Wenkuan; Wu, Qianhong; Zhang, Haoyang; Wu, Wenbo; Lu, Hengrun; Qin, Bo in Lecture Notes in Computer Science, T. H. Yuen, S.-F. Sun (eds.) (2026). (Vol. 17082) 209–227.
• Disjunctive Searchable Encryption with Comprehensive Forward and Backward Privacy. Li, Jinhui; Xu, Lei; Liu, Xiaoning; Yi, Xun in Lecture Notes in Computer Science, T. H. Yuen, S.-F. Sun (eds.) (2026). (Vol. 17082) 130–149.
• GPU accelerated population genetics statistics using pg_gpu. Pope, Nathaniel S.; Rivera-Colón, Angel G.; Kapoor, Ananya; Korfmann, Kevin; Rodrigues, Murillo F.; Small, Scott T.; Teterina, Anastasia A.; Kern, Andrew D. (2026).

  Population genetics summary statisticstextemdashdiversity, divergence, linkage disequilibrium, selection scans, and dimensionality reductiontextemdashare fundamental across human, agricultural, and ecological genomics. As whole-genome sequencing datasets have grown to hundreds of thousands of individuals, the cost of computing these statistics on conventional CPU implementations has become a major bottleneck: windowed scans of a single chromosome arm can take hours to days, and computation of pairwise linkage-disequilibrium statistics useful for demographic inference scales as O(n2) in sample size, often exceeding wall-clock budgets entirely. We present pg_gpu, a Python library implementing a comprehensive catalog of population-genetics summary statistics as fused CUDA kernels on NVIDIA GPUs. pg_gpu covers eleven categories spanning diversity and neutrality tests, divergence, admixture, the site-frequency spectrum, linkage disequilibrium, haplotype-based selection scans, dimensionality reduction (PCA, randomized PCA, local PCA / lostruct), distance distributions, relatedness, resampling, and a generalized weighted-SFS framework for custom ω estimators. On the full Ag1000G Phase 3 chromosome 3R arm (2,940 haplotypes, 10.9 million variants) pg_gpu agrees with scikit-allel and PLINK2 to machine precision while delivering a median 139texttimes and maximum 1,096texttimes speedup. For the multi-population LD statistics used by moments for demographic inference, pg_gpu is a drop-in replacement that yields a ~1,750-fold speedup over the native implementation. Whole chromosome arm scans, lostruct screens, and calculation of LD statistics complete on a single NVIDIA A100 in seconds to a few minutes.Competing Interest StatementThe authors have declared no competing interest.National Human Genome Research Institute, R01HG010774, R01HG012473National Institute of General Medical Sciences, R35GM148253
• zBulk: Towards Automatic Compartmentalization in Rust with Zero Manual Retrofitting. von Onciul, Maxim Ritter; Raffeck, Phillip; Wägemann, Peter; Kapitza, Rüdiger (2026). 68–76.
• Die Forschungsfrage finden – Setze die Pfeiler für deine wissenschaftliche Arbeit Martin, Gertler. (2026).

  Die meisten wissenschaftlichen Arbeiten geraten nicht wegen schwacher Methoden ins Stocken. Sie geraten ins Stocken, weil zu Beginn nicht klar war, welches Problem gelöst werden soll, mit welcher wissenschaftlichen Zielsetzung und welcher passenden Methode.
• SLiM 5: Eco-evolutionary Simulations Across Multiple Chromosomes and Full Genomes. Haller, Benjamin C; Ralph, Peter L; Messer, Philipp W (2026). 43(1) msaf313.

  Evolutionary simulations of multiple chromosomes, even up to the scale of full-genome simulations, are becoming increasingly important in population genetics and evolutionary ecology. Unfortunately, the popular simulation framework SLiM has always been intrinsically limited to simulations of a single diploid chromosome. Modeling multiple chromosomes of different types, such as sex chromosomes, has always been cumbersome, even with scripting, presenting a substantial barrier to the development of full-genome simulations. Here we present SLiM 5, a major extension of SLiM's capabilities for simulating multiple chromosomes. Modeling up to 256 chromosomes is now possible, and each chromosome may belong to any of a wide variety of types—not just autosomes (diploid and haploid), but also sex chromosomes (X, Y, Z, and W), haploid mitochondrial and chloroplast DNA, and more. This new functionality is integrated across all of SLiM, including not only the mechanics of reproduction and inheritance, but also input and output of multi-chromosome data in formats like VCF, and tree-sequence recording across multiple chromosomes. New recipes in the SLiM manual demonstrate these new features, and SLiM's graphical modeling environment, SLiMgui, has been extended in many ways for the visualization of multi-chromosome models. These new features will open new horizons and enable a heightened level of realism for full-genome simulations.
• PLUMERIA RUBRA O’SIMLIGINI KO’PAYTIRISH. qizi, Karimova Gulsevar Erkinjon (2026). 4(2) 1–3.

  Ushbu maqolada Plumeria rubra o‘simligini ko‘paytirishning asosiy usullari, jumladan, qalamcha va urug‘ orqali ko‘paytirish texnologiyalari yoritiladi. O‘simlikning biologik xususiyatlari, ildiz hosil qilish jarayoni, parvarish talablari hamda issiq iqlim sharoitidagi o‘sish omillari ilmiy asosda tahlil qilinadi. Amaliy tavsiyalar ham keltiriladi.
• Agentic AI study: From GenAI to Agentic AI in Financial Services Ensinger, Eugen; Heidel, Luc-Phillip; Leimeister, Jan Marco; Li, Mahei Manhai; Grauer, Teresa (2026).
• Land use intensification results in abrupt transitions between extensively and intensively managed grasslands. Saiz, Hugo; Neuenkamp, Lena; Penone, Caterina; Birkhofer, Klaus; Blüthgen, Nico; Boch, Steffen; Bonkowski, Michael; Buscot, Francois; Felipe‐Lucia, María; Fiore‐Donno, Anna Maria; Fischer, Markus; Freitag, Martin; Godoy, Oscar; Goldmann, Kezia; Gossner, Martin; Hamer, Ute; Hölzel, Norbert; Jung, Kirsten; Kandeler, Ellen; Klaus, Valentin; Kleinebecker, Till; Leimer, Sophia; Marhan, Sven; Oelmann, Yvonne; Overmann, Jörg; Prati, Daniel; Renner, Swen; Rillig, Matthias; Seibold, Sebastian; Schloter, Michael; Schoening, Ingo; Sikorski, Johannes; Socher, Stephanie; Solly, Emily; Steffan‐Dewenter, Ingolf; Stempfhuber, Barbara; Westphal, Catrin; Wilcke, Wolfgang; Wubet, Tesfaye; Wurst, Susanne; Allan, Eric (2026).
• Citizen science in the fields: BioBlitzes as a method to increase agroecosystem biodiversity knowledge. Agasse, C.; Chollet, S.; Boudes, P.; Dano, M.; Boutaud, E.; Gancedo, I.; Hance, T.; Hervé, M.; Jacquemart, A.; Marrec, R.; Redlich, S.; Saska, P.; Skuhrovec, J.; Timm, S.; Tougeron, K.; Vašková, H.; Audusseau, H.; Bondu, L.; Burtchen, L.; Chicouene, D.; Denis, A.; Fricke, U.; Ganuza, C.; Geisendörfer, P.; Karpf, C.; Klimm, F.; König, S.; Korten, H.; Krügl, A.; Mahsberg, D.; Sauer, N.; Schrauth, K.; Schultes, L.; Stör, J.; Uhl, B.; van Baaren, J.; Nicolai, A. (2026). 1–20.
• Eco-Tourism in India - Present Status, Key Challenges and Future Prospects. Pradeep Kumar Nayak, Dr. Gayatri Sahoo (2026). 4(2) 4–12.

  Tourism has emerged as one of the world's largest and fastest-growing economic sectors. According to the World Travel and Tourism Council, tourism contributes approximately 10.4% to global GDP and supports one in every ten jobs worldwide. In India, tourism's contribution to GDP has been steadily increasing, reaching around 6.8% in 2019, with projections indicating continued growth in the coming decades.
• AMOC Discrepancies across Reanalyses and Models Limit Dynamical Understanding. Raganato, Alessandro; Bracco, Annalisa; Roekel, Luke Van; Iovino, Doroteaciro (2026). 39(19) 5695–5716.
• Davlat Organlarida Manfaatlar To‘Qnashuvi: Yangi Qonunchilik Va Uni Amaliyotda Qo‘Llash Muammolari. Alidjanovich, Kurbanaliyev Sardor (2026). 4(1) 67–74.

  Ushbu keng qamrovli tahliliy hisobot O‘zbekiston Respublikasi davlat boshqaruvi tizimidagi eng og‘riqli va dolzarb masalalardan biri — manfaatlar to‘qnashuvi institutining huquqiy va amaliy jihatlarini chuqur o‘rganishga bag‘ishlangan. Hisobotda 2024-yilda qabul qilingan va dekabr oyida kuchga kiradigan O‘RQ-931-sonli "Manfaatlar to‘qnashuvi to‘g‘risida"gi Qonunning mazmun-mohiyati, uning korrupsiyaga qarshi kurashish milliy strategiyasidagi o‘rni hamda xalqaro standartlar (OECD, BMT) bilan uyg‘unligi tahlil qilingan. Tadqiqot davomida "manfaatlar to‘qnashuvi", "shaxsiy manfaatdorlik" va "yaqin qarindoshlar" tushunchalarining yangi huquqiy talqinlari, deklaratsiyalash tizimining joriy etilishi, shuningdek, Ma’muriy javobgarlik to‘g‘risidagi kodeksga kiritilgan 193-4-modda sanksiyalarining preventiv ahamiyati batafsil yoritilgan. Hisobotning alohida qismi qonunni amaliyotga tatbiq etishda yuzaga kelishi mumkin bo‘lgan institutsional, ijtimoiy-madaniy (mahalliychilik, urug‘-aymoqchilik) va texnik to‘siqlarni aniqlashga hamda ularni bartaraf etish bo‘yicha strategik tavsiyalarni ishlab chiqishga qaratilgan.
• Planetary foresight: envisioning an early warning system for climate tipping points. Bale, Gemma M.; Bohndiek, Sarah E.; Giles, Daniel; Humphreys, Jessica; Kubala, Caitlin; Reardon, Katie; Roberts, Isabella (2026). 2(1) 2732804.
• Exploring the Excited State Mechanisms of a Viscosity-Sensitive Zeromethine Merocyanine Dye Emitter. Fichtner, Julian; Verma, Preetika; Sárosi, Menyhárt B; Stolte, Matthias; Yapamanu, Adithya Lakshmanna; Würthner, Frank (2026).
• Тожик Тилидан Инглиз Тилига Реалиялар Таржимаси Масалалари. Jamshed Norkulovich Mirzoyev, Garibli Emin Adil (2026). 4(1) 62–66.

  Ушбу мақолада тожик тилидан инглиз тилига таржима жараёнида учрайдиган реалиялар ва уларни таржима қилиш билан боғлиқ муаммолар таҳлил қилинади. Реалиялар миллатнинг тарихий, ижтимоий ва маданий хусусиятларини акс эттирувчи лексик бирликлар бўлиб, уларни инглиз тилига адекват таржима қилиш таржимондан чуқур лингвомаданий билимларни талаб қилади. Мақолада реалияларни таржима қилишнинг асосий усуллари ҳамда уларни қўллашдаги ўзига хос жиҳатлар кўриб чиқилади.
• Würzburgs ‘Häuserbuch ohne Häuser’: Digitale Zugänge zur Geschichte einer untergegangenen Stadt. Shtohryn, Tomash; Langhanki, Florian; Ratulovská, Natália; Haitz, Janik; Reul, Christian (S. Schwandt; G. Viehhauser; T. Andrews; T. Wallnig, eds.) (2026).
• A Benefit/Cost Analysis Tool for Better Benefits Management. Lyngar, Simon; Storvoll, Martin; Hannay, Jo E. in Lecture Notes in Computer Science, M. Kurosu, A. Hashizume (eds.) (2025). (Vol. 15771) 61–82.
• A Semantic Information-based Hierarchical Speech Enhancement Method Using Factorized Codec and Diffusion Model. Xiang, Yang; Huang, Canan; Hu, Desheng; Tian, Jingguang; Hu, Xinhui; Zhang, Chao O. Scharenborg, C. Oertel, K. Truong (eds.) (2025).
• Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving. Zheng, Shunfeng; Zhang, Yudi; Fang, Meng; Zhang, Zihan; Wu, Zhitan; Pechenizkiy, Mykola; Chen, Ling C. Christodoulopoulos, T. Chakraborty, C. Rose, V. Peng (eds.) (2025). 21927–21956.
• Design, Testing, and Evaluation of a Web-Based Geographic Information System for Brazilian City Governments. Becker, Valdecir; Alves, Wesley; Silva, Barbara; Pereira, Clarissa; Ribeiro, Carlos; Carvalho, Lillian; de Vasconcelos, Edvaldo in Lecture Notes in Computer Science, M. Kurosu, A. Hashizume (eds.) (2025). (Vol. 15771) 3–17.
• Exploring the Impact of User Feedback for Trust in Context-Aware Recommender Systems in Search-as-Learning. Rani, Neha; Kantamani, Srikar; Chu, Sharon Lynn in Lecture Notes in Computer Science, M. Kurosu, A. Hashizume (eds.) (2025). (Vol. 15771) 83–99.
• Estimating evolutionary and demographic parameters via ARG-derived IBD. Huang, Zhendong; Kelleher, Jerome; Chan, Yao-ban; Balding, David (2025). 21(1) 1–16.

  Inference of evolutionary and demographic parameters from a sample of genome sequences often proceeds by first inferring identical-by-descent (IBD) genome segments. By exploiting efficient data encoding based on the ancestral recombination graph (ARG), we obtain three major advantages over current approaches: (i) no need to impose a length threshold on IBD segments, (ii) IBD can be defined without the hard-to-verify requirement of no recombination, and (iii) computation time can be reduced with little loss of statistical efficiency using only the IBD segments from a set of sequence pairs that scales linearly with sample size. We first demonstrate powerful inferences when true IBD information is available from simulated data. For IBD inferred from real data, we propose an approximate Bayesian computation inference algorithm and use it to show that even poorly-inferred short IBD segments can improve estimation. Our mutation-rate estimator achieves precision similar to a previously-published method despite a 4 000-fold reduction in data used for inference, and we identify significant differences between human populations. Computational cost limits model complexity in our approach, but we are able to incorporate unknown nuisance parameters and model misspecification, still finding improved parameter inference.
• Investigating Automated Transcriptions for Multimodal CPS Detection in Groupwork. Ibarra, Benjamin; Wisniewski, Brett; Terpstra, Corbyn; Venkatesha, Videep; Bradford, Mariah; Blanchard, Nathaniel in Lecture Notes in Computer Science, M. Kurosu, A. Hashizume (eds.) (2025). (Vol. 15771) 214–224.
• The Relationship Between Urban Morphology and the Citizens’ Social Media Footprints: A case study on Tokyo. Jheng, De-Cyuan; Lemoine-Rodríguez, Richard; Biewer, Carolin; Seto, Karen C.; Taubenböck, Hannes (2025). 1–4.
• The genetic architecture of polygenic adaptation under a network-derived trait. O’Brien, Nicholas L. V.; Holland, Barbara; Engelstädter, Jan; Ortiz-Barrientos, Daniel (2025).

  The genetic architecture of adaptation varies across species, populations, and traits. While existing models capture aspects like the number of loci, effect sizes, and allele frequencies, they often overlook the molecular processes underlying trait expression. We investigated how gene regulatory networks influence quantitative variation during adaptation by examining the negative autoregulation (NAR) motif in two configurations: K+, with four evolving network components, and K-, with two components. Using forward-time simulations, we tracked populations adapting to a shifted phenotypic optimum under varying genetic architectures. We found that K+ populations maintained rapid adaptation despite low recombination, preserving high genetic variance through positive epistasis and stronger linkage disequilibrium. Under low recombination, K+ populations reached the optimum through diverse molecular configurations, while responses were more uniform under high recombination. In contrast, K- and additive models showed impaired adaptation under low recombination. Our findings demonstrate that network structure fundamentally influences the distribution of variation within the molecular architecture of traits, with certain networks providing unexpected robustness against low recombination rates. This suggests that molecular complexity may confer evolutionary advantages in natural populations.Competing Interest StatementThe authors have declared no competing interest.
• Accessible, Realistic Genome Simulation with Selection Using stdpopsim. Gower, Graham; Pope, Nathaniel S; Rodrigues, Murillo F; Tittes, Silas; Tran, Linh N; Alam, Ornob; Cavassim, Maria Izabel A; Fields, Peter D; Haller, Benjamin C; Huang, Xin; Jeffrey, Ben; Korfmann, Kevin; Kyriazis, Christopher C; Min, Jiseon; Rebollo, Inés; Rehmann, Clara T; Small, Scott T; Smith, Chris C R; Tsambos, Georgia; Wong, Yan; Zhang, Yu; Huber, Christian D; Gorjanc, Gregor; Ragsdale, Aaron P; Gronau, Ilan; Gutenkunst, Ryan N; Kelleher, Jerome; Lohmueller, Kirk E; Schrider, Daniel R; Ralph, Peter L; Kern, Andrew D (2025). 42(11) msaf236.

  Selection is a fundamental evolutionary force that shapes patterns of genetic variation across species. However, simulations incorporating realistic selection along heterogeneous genomes in complex demographic histories are challenging, limiting our ability to benchmark statistical methods aimed at detecting selection and to explore theoretical predictions. stdpopsim is a community-maintained simulation library that already provides an extensive catalog of species-specific population genetic models. Here, we present a major extension to the stdpopsim framework that enables simulation of various modes of selection, including background selection, selective sweeps, and arbitrary distributions of fitness effects (DFE) acting on annotated subsets of the genome (for instance, exons). This extension maintains stdpopsim’s core principles of reproducibility and accessibility while adding support for species-specific genomic annotations and published DFE estimates. We demonstrate the utility of this framework by comparing methods for demographic inference, DFE estimation, and selective sweep detection across several species and scenarios. Our results demonstrate the robustness of demographic inference methods to selection on linked sites, reveal the sensitivity of DFE-inference methods to model assumptions, and show how genomic features, like recombination rate and functional sequence density, influence power to detect selective sweeps. This extension to stdpopsim provides a powerful new resource for the population genetics community to explore the interplay between selection and other evolutionary forces in a reproducible, user-friendly framework.
• Quantitative genetics of microbiome-mediated traits. Week, Bob; Ralph, Peter L; Tavalire, Hannah F; Cresko, William A; Bohannan, Brendan J M (2025). 79(11) 2487–2502.

  Multicellular organisms host a rich assemblage of associated microorganisms, collectively known as their “microbiomes.” Microbiomes have the capacity to influence their hosts’ fitnesses, but the conditions under which such influences contribute to evolution are not clear. This is due in part to a lack of a comprehensive theoretical framework for describing the combined effects of host and associated microbes on phenotypic variation. Here, we address this gap by extending the foundations of quantitative genetic theory to include host-associated microbes, as well as alleles of hosts, as factors that explain quantitative host trait variation. We introduce a way to partition host-associated microbiomes into components relevant for predicting a microbiome-mediated response to selection. We then apply our general framework to a simulation model of microbiome inheritance to illustrate principles for predicting host trait dynamics, and to generalize classical narrow- and broad-sense heritabilities to account for microbial effects. We demonstrate that microbiome-mediated responses to host-level selection can arise from various transmission modes, not solely vertical, but that the contribution of non-vertical modes can depend strongly on host life history. Our work lays a foundation for integrating microbiome-mediated host variation and adaptation into our understanding of natural variation.
• Bridging forward-in-time and coalescent simulations using pyslim. Gopalan, Shyamalika; Rodrigues, Murillo F.; Ralph, Peter L.; Haller, Benjamin C. (2025).

  Ancestral Recombination Graphs (ARGs) provide an expressive and compact way to represent genetic variation data generated by simulations embedded within its genealogical history, and it can dramatically speed up simulations. The fact that the ARG records genealogical as well as genomic information opens up the possibility for a number of new analysis and simulation techniques. Here, we aim to introduce the reader to this deep source of information as produced by the forwards simulator SLiM. SLiM records the ARG using the tree sequence format, which can be manipulated using the tskit and pyslim python packages. We first describe the information that SLiM records in the tree sequence, then provide several examples that use the tree sequence as a format to losslessly pass population states between simulators: recapitation of a forwards simulation with coalescent simulation; initiation of a forwards simulation using the results of a coalescent simulation; and parallelization of simulations, first across branches of a phylogenetic tree, and then across the populations of parasites infecting different hosts.Competing Interest StatementThe authors have declared no competing interest.NIH Common Fund, HG012473, R01HG0124734, R35GM152242
• Sweeps in Space: Leveraging Geographic Data to Identify Beneficial Alleles in textitAnopheles gambiae. Rehmann, Clara T; Small, Scott T; Ralph, Peter L; Kern, Andrew D (2025). 42(6) msaf141.

  As organisms adapt to environmental changes, natural selection modifies the frequency of nonneutral alleles. For beneficial mutations, the outcome of this process may be a selective sweep, in which an allele rapidly increases in frequency and perhaps reaches fixation within a population. Selective sweeps have well-studied effects on patterns of local genetic variation in panmictic populations, but much less is known about the dynamics of sweeps in continuous space. In particular, because limited movement across a landscape leads to unique patterns of population structure, spatial dynamics may influence the trajectory of selected mutations. Here, we use forward-in-time, individual-based simulations in continuous space to study the impact of space on beneficial mutations as they sweep through a population. In particular, we show that selection changes the joint distribution of allele frequency and geographic range occupied by a focal allele and demonstrate that this signal can be used to identify selective sweeps. We then leverage this signal to identify in-progress selective sweeps within the malaria vector Anopheles gambiae, a species under strong selection pressure from vector control measures. By considering space, we identify multiple previously undescribed variants with potential phenotypic consequences, including mutations impacting known IR-associated genes and altering protein structure and properties. Our results demonstrate a novel signal for detecting selection in spatial population genetic data that may have implications for genomic surveillance and understanding geographic patterns of genetic variation.
• Promoting Water Culture Through Augmented Reality and Gamified Experiences. Jadán-Guerrero, Janio; Arias-Flores, Hugo; Piedra-Ansatuña, Mario; Chacón-Castro, Marcos in Lecture Notes in Computer Science, M. Kurosu, A. Hashizume (eds.) (2025). (Vol. 15771) 389–402.
• Signatures of selective sweeps in continuous-space populations. Chotai, Meera; Wei, Xinzhu; Messer, Philipp W (2025). 231(3) iyaf183.

  Selective sweeps describe the process by which an adaptive mutation arises and rapidly fixes in the population, thereby removing genetic variation in its genomic vicinity. The expected signatures of selective sweeps are relatively well understood in panmictic population models, yet natural populations often extend across larger geographic ranges where individuals are more likely to mate with those born nearby. To investigate how such spatial population structure can affect sweep dynamics and signatures, we simulated selective sweeps in populations inhabiting a two-dimensional continuous landscape. The maximum dispersal distance of offspring from their parents can be varied in our simulations from an essentially panmictic population to scenarios with increasingly limited dispersal. We find that in low-dispersal populations, adaptive mutations spread more slowly than in panmictic ones, while recombination becomes less effective at breaking up genetic linkage around the sweep locus. Together, these factors result in a trough of reduced genetic diversity around the sweep locus that looks very similar across dispersal rates. We also find that the site frequency spectrum around hard sweeps in low-dispersal populations is enriched for intermediate-frequency variants, making these sweeps appear softer than they are. Furthermore, haplotype heterozygosity at the sweep locus tends to be elevated in low-dispersal scenarios as compared to panmixia, contrary to what is observed in neutral scenarios without sweeps. The haplotype patterns generated by these hard sweeps in low-dispersal populations can resemble soft sweeps from standing genetic variation that arose from substantially older alleles. Our results highlight the need for better accounting for spatial population structure when making inferences about selective sweeps.
• SimHumanity: Using SLiM 5.0 to run whole-genome simulations of human evolution. Haller, Benjamin C.; Nelson, Chase W.; Rodrigues, Murillo F.; Messer, Philipp W. (2025).
• A Universal Web-Based Tool for Multimodal Data Synchronization and Labeling. Khan, Nibraas; Haan, Ruj; Shragge, Ingrid; Zilinskaite, Gabija; Plunk, Abigale; Staubitz, John E.; Rajaraman, Adithyan; Weitlauf, Amy; Sarkar, Nilanjan in Lecture Notes in Computer Science, M. Kurosu, A. Hashizume (eds.) (2025). (Vol. 15771) 254–264.
• Tsbrowse: an interactive browser for ancestral recombination graphs. Karthikeyan, Savita; Jeffery, Ben; Mbuli-Robertson, Duncan; Kelleher, Jerome (2025). 41(8) btaf393.

  Ancestral recombination graphs (ARGs) represent the interwoven paths of genetic ancestry of a set of recombining sequences. The ability to capture the evolutionary history of samples makes ARGs valuable in a wide range of applications in population and statistical genetics. ARG-based approaches are increasingly becoming a part of genetic data analysis pipelines due to breakthroughs enabling ARG inference at biobank-scale. However, there is a lack of visualization tools, which are crucial for validating inferences and generating hypotheses. We present tsbrowse, an open-source, web-based Python application for the interactive visualization of the fundamental building blocks of ARGs, i.e. nodes, edges and mutations. We demonstrate the application of tsbrowse to various data sources and scenarios, and highlight its key features of browsability along the genome, user interactivity, and scalability to very large sample sizes.Tsbrowse is installed as a Python package from PyPI (https://pypi.org/project/tsbrowse/), while a development version is maintained at https://github.com/tskit-dev/tsbrowse. Documentation is available at https://tskit.dev/tsbrowse/docs/. Source code is archived on Zenodo with DOI, https://doi.org/10.5281/zenodo.15683039.
• Dynamics-Based Identification of Hybrid Systems using Symbolic Regression. Plambeck, Swantje; Schmidt, Maximilian; Fey, Görschwin; Subias, Audine; Travé-Massuyès, Louise (2024). 64–71.
• CHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Models. Zhang, Qin; Cai, Sihan; Zhao, Jiaxu; Pechenizkiy, Mykola; Fang, Meng in Findings of ACL, Y. Al-Onaizan, M. Bansal, Y.-N. Chen (eds.) (2024). (Vol. EMNLP 2024) 14883–14898.
• MedINST: Meta Dataset of Biomedical Instructions. Han, Wenhan; Fang, Meng; Zhang, Zihan; Yin, Yu; Song, Zirui; Chen, Ling; Pechenizkiy, Mykola; Chen, Qingyu in Findings of ACL, Y. Al-Onaizan, M. Bansal, Y.-N. Chen (eds.) (2024). (Vol. EMNLP 2024) 8221–8240.
• BiCAL: Bi-directional Contrastive Active Learning for Clinical Report Generation. Wu, Tianyi; Zhang, Jingqing; Bai, Wenjia; Sun, Kai D. Demner-Fushman, S. Ananiadou, M. Miwa, K. Roberts, J. Tsujii (eds.) (2024). 328–341.
• Resource-explicit interactions in spatial population models. Champer, Samuel E.; Chae, Bryan; Haller, Benjamin C.; Champer, Jackson; Messer, Philipp W. (2024). 15(12) 2316–2330.

  Abstract Continuous-space population models can yield significantly different results from their panmictic counterparts when assessing evolutionary, ecological or population genetic processes. However, the computational burden of spatial models is typically much greater than that of panmictic models due to the overhead of determining which individuals interact with one another and how strongly they interact. While these calculations are necessary to model local competition that regulates the population density, they can lead to prohibitively long runtimes. Here, we present a novel modelling method in which the resources available to a population are abstractly represented as an additional layer of the simulation. Instead of interacting directly with one another, individuals interact indirectly via this resource layer. We find that this method closely matches other spatial models, yet can dramatically increase the speed of the model, allowing the simulation of much larger populations. In addition to improved runtimes, models structured in this manner exhibit other desirable characteristics, including more explicit control over population density near the edge of the simulated area, and an efficient route for modelling complex heterogeneous landscapes.
• Packet Management of AoI in the Finite Block-Length Regime. Sun, Mingxiao; Zhang, Di; Jia, Shaobo; Li, Aimin (2024). 748–752.
• Synthesizing Distribution Grid Congestion Data Using Multivariate Conditional Time Series Generative Adversarial Networks. Demirel, Gökhan; Hauf, Jan; Butt, Hallah Shahid; Förderer, Kevin; Schäfer, Benjamin; Hagenmeyer, Veit (2024). 385–390.
• Performance Evaluation of ChatGPT on BITSAT: Engineering Entrance Examination. Ehtesham, Syed; Bedi, Harpreet Singh; Bhardwaj, Ravindra Giriraj in Lecture Notes in Networks and Systems, A. Bajaj, A. M. Madureira, A. Abraham (eds.) (2023). (Vol. 1224) 1–9.
• Incorporating ecology into gene drive modelling. Kim, Jaehee; Harris, Keith D.; Kim, Isabel K.; Shemesh, Shahar; Messer, Philipp W.; Greenbaum, Gili (2023). 26(S1) S62-S80.

  Abstract Gene drive technology, in which fast-spreading engineered drive alleles are introduced into wild populations, represents a promising new tool in the fight against vector-borne diseases, agricultural pests and invasive species. Due to the risks involved, gene drives have so far only been tested in laboratory settings while their population-level behaviour is mainly studied using mathematical and computational models. The spread of a gene drive is a rapid evolutionary process that occurs over timescales similar to many ecological processes. This can potentially generate strong eco-evolutionary feedback that could profoundly affect the dynamics and outcome of a gene drive release. We, therefore, argue for the importance of incorporating ecological features into gene drive models. We describe the key ecological features that could affect gene drive behaviour, such as population structure, life-history, environmental variation and mode of selection. We review previous gene drive modelling efforts and identify areas where further research is needed. As gene drive technology approaches the level of field experimentation, it is crucial to evaluate gene drive dynamics, potential outcomes, and risks realistically by including ecological processes.
• Intelligent System for Spectrum Detection and Selection in Cognitive Radio Networks. Asuquo, Daniel E.; Umoh, Uduak; Robinson, Samuel A.; Dan, Emmanuel A.; Udoh, Samuel S.; Attai, Kingsley in Lecture Notes in Networks and Systems, A. Bajaj, A. M. Madureira, A. Abraham (eds.) (2023). (Vol. 1224) 272–283.
• Solidarität in den Krisen der Arbeitswelt: Aktualität kollektiver Widerstandserfahrungen Detje, Richard; Sauer, Dieter (2023). VSA-Verlag, Hamburg.

  Eine Gesellschaft, in der sich »die meisten Menschen nicht mehr um ihre Mitmenschen kümmern«, zerfällt (so der Befund einer aktuellen Untersuchung der Bertelsmann-Stiftung). Um dem entgegenzuwirken, wird das große »Wir« beschworen. Und so wurde wieder an »Solidarität« appelliert – Hilfe in Zeiten von Pandemie und Klimakrise, Krieg und Inflation. Doch tatsächlich ist Solidarität etwas völlig anderes als Hilfsbereitschaft. Solidarität heißt, Spaltungen zu überwinden, Stärke aus der Hintanstellung von sozialen oder ethnischen Differenzen zu gewinnen. Genau hier liegt das Problem: Konkurrenz, Fragmentierungen, Leistungsdruck, fehlende Austauschmöglichkeiten, Individualisierung, mobile Arbeit stellen Restriktionen dar, die Solidarisierung zunehmend erschweren. Und dennoch: Solidarität gibt es – vor allem als Widerstandserfahrung: unter Servicekräften in Kliniken, die gleichen Lohn für gleiche Arbeit fordern; unter den Beschäftigten in Warenhäusern, die sich Filialschließungen in den Weg stellen; unter migrantischen Arbeiter*innen in Logistikzentren, die ihr Recht auf Wahl eines Betriebsrats durchsetzen; in Belegschaften, die sich gegen die Schließung ihres Betriebes auf die Hinterbeine stellen; unter IT-Spezialisten, für die Individualität und kollektives Handeln kein Gegensatz sind. Richard Detje und Dieter Sauer haben unterschiedliche Fälle in Industrie- und Dienstleistungsbereichen untersucht, in denen nach herkömmlichem Verständnis wenig Zusammenhalt zu erwarten ist – in denen aber Aktionen des solidarischen Widerstands und praktische Lernprozesse in Richtung Solidarität stattgefunden haben. Grundlage ihrer Untersuchung sind Interviews, Gruppendiskussionen und Befragungen. Ihnen ist es wichtig, die Befragten und Protagonist*innen selber zu Wort kommen zu lassen, damit exemplarisch nachvollzogen werden kann, wieviel Solidarität in der Arbeitswelt steckt. Da Solidarität kein Zustand, sondern ein praktischer Lernprozess ist, diskutieren sie abschließend Ergebnisse solidarischer Praxen, die über jeweilige Fälle hinaus inspirierend und handlungsleitend sein können.
• Reconfigurable Intelligent Surface Assisted NOMA Collaborative Localization. Zhang, D.; Zhu, Yuncan; Cao, G.; Li, Meiling; Lu, Zhaoming; Yuan, Hu (2023). 4188–4192.
• An Agricultural Domain Based Question Answering System Using Natural Language Processing and Deep Learning Methodologies. Saravanan, Krithikha Sanju; Velammal, B. L. in Lecture Notes in Networks and Systems, A. Bajaj, A. M. Madureira, A. Abraham (eds.) (2023). (Vol. 1224) 115–126.
• A Pandemic-Scale Ancestral Recombination Graph for SARS-CoV-2. Zhan, Shing H; Wong, Yan; Ignatieva, Anastasia; Eaton, Katherine; Guthrie, Isobel; Jeffery, Benjamin; Palmer, Duncan S; Murall, Carmen Lia; Otto, Sarah; Kelleher, Jerome (2023).
• Analysing Metadata of Articles Connecting IOT to Agriculture and Climate Change. Conrado, Luiz Felipe; Huther, Cristina Moll; Machado, Flávio Silva; Calado, Robisom Damasceno; Costa, Helder Gomes in Lecture Notes in Networks and Systems, A. Bajaj, A. M. Madureira, A. Abraham (eds.) (2023). (Vol. 1224) 334–344.
• Multivariate Analysis of Products Tipology Data - A Case Study. Costa, Nelson; Mota, Alzira; Sousa, Inês in Lecture Notes in Networks and Systems, A. Bajaj, A. M. Madureira, A. Abraham (eds.) (2023). (Vol. 1224) 177–186.
• Revolutionizing Higher Education Institute Query System by Linking Custom Knowledge Base with Large Language Models. Varaliya, Mohammed; Kanojia, Mahendra; Nabajja, Subhashish in Lecture Notes in Networks and Systems, A. Bajaj, A. M. Madureira, A. Abraham (eds.) (2023). (Vol. 1224) 86–94.
• Mixture GAN For Modulation Classification Resiliency Against Adversarial Attacks. Shtaiwi, Eyad; Ouadrhiri, Ahmed El; Moradikia, Majid; Sultana, Salma; Abdelhadi, Ahmed; Han, Zhu (2022). 1472–1477.
• Detection of Chronic Kidney Disease Using Neuro-Fuzzy Rule-based Classifier. Das, Supantha; Hazra, Arnab; Pati, Soumen Kumar; Ghosh, Soumadip; Mallik, Saurav; Banerjee, Suharta; Mukherji, Ayan; Li, Aimin; Zhao, Zhongming D. A. Adjeroh, Q. Long, X. M. Shi, F. Guo, X. Hu, S. Aluru, G. Narasimhan, J. Wang, M. Kang, A. Mondal, J. Liu (eds.) (2022). 2839–2845.
• Generalization in Text-based Games via Hierarchical Reinforcement Learning. Xu, Yunqiu; Fang, Meng; Chen, Ling; Du, Yali; Zhang, Chengqi in Findings of ACL, M.-F. Moens, X. Huang, L. Specia, S. W. tau Yih (eds.) (2021). (Vol. EMNLP 2021) 1343–1353.
• ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection. Ni’mah, Iftitahu; Fang, Meng; Menkovski, Vlado; Pechenizkiy, Mykola in Findings of ACL, M.-F. Moens, X. Huang, L. Specia, S. W. tau Yih (eds.) (2021). (Vol. EMNLP 2021) 1606–1617.
• NBSearch: Semantic Search and Visual Exploration of Computational Notebooks. Li, Xingjun; Wang, Yuanxin; Wang, Hong; Wang, Yang; Zhao, Jian Y. Kitamura, A. Quigley, K. Isbister, T. Igarashi, P. Bjørn, S. M. Drucker (eds.) (2021). 308:1–308:14.
• YOLOv4: Optimal Speed and Accuracy of Object Detection. Bochkovskiy, Alexey; Wang, Chien-Yao; Liao, Hong-Yuan Mark (2020).
• Learning Multi-Agent Communication with Policy Fingerprints for Adaptive Traffic Signal Control. Zhao, Yifan; Xu, Gangyan; Du, Yali; Fang, Meng (2020). 266–273.
• Automating Cutting Planes is NP-Hard. Göös, Mika; Koroth, Sajin; Mertz, Ian; Pitassi, Toniann (2020).
• Impedance Tracking and Estimation using Power Line Communications. Liang, Dong; Guo, Huashan; Zheng, Tao (2019). 1–6.
• Networks of Uniform Splicing Processors., url=http://dblp.uni-trier.de/db/journals/corr/corr1909.html#abs-1909-03246, volume=abs/1909.03246, journal=CoRR, date = 2026-10-09,keywords = dblp. Mitrana, Victor; Paun, Mihaela; Martín, José Ángel Sánchez; Sánchez-Couso, José-Ramón (2019).
• LSTM with Uniqueness Attention for Human Activity Recognition. Zheng, Zengwei; Shi, Lifei; Wang, Chi; Sun, Lin; Pan, Gang in Lecture Notes in Computer Science, I. V. Tetko, V. Kurková, P. Karpov, F. J. Theis (eds.) (2019). (Vol. 11729) 498–509.
• Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. Ren, Shaoqing; He, Kaiming; Girshick, Ross; Sun, Jian (2017). 39(6) 1137–1149.
• You Only Look Once: Unified, Real-Time Object Detection. Redmon, Joseph; Divvala, Santosh; Girshick, Ross; Farhadi, Ali (2016). 779–788.
• Automatic Public State Space Abstraction in Imperfect Information Games. Schmid, Martin; Moravcik, Matej; Hladík, Milan; Gaukrodger, Stephen J. in AAAI Technical Report, S. Ganzfried (ed.) (2015). (Vol. 15-07)