The Data4UrbanMobility paper “Crosstown traffic – supervised prediction of impact of planned special events on urban traffic” was published in the GeoInformatica journal. The article investigates the question how the impact of planned special events on road traffic can be measured and predicted. The full article is available here:

Crosstown Traffic – Supervised Prediction of Impact of Planned Special Events on Urban Traffic. Tempelmeier, Nicolas; Dietze, Stefan; Demidova, Elena (2019). URL

• A Dataset for Automatic Vocal Mode Classification. Hinrichs, Reemt; Stephan, Sonja; Lange, Alexander; Ostermann, Jörn (2026).
• Cuticular hydrocarbons in bumblebees change with age and vary with climate along an elevational temperature gradient. Nooten, Sabine S.; Kárpáti, Zsolt; Neumayer, Johann; Becsi, Benedikt; Formayer, Herbert; Schmitt, Thomas (2026). 1014 181310.
• Chinese Computational Linguistics - 24th China National Conference, CCL 2025, Jinan, China, August 11-14, 2025, Proceedings Sun, Maosong; Duan, Peiyong; Liu, Zhiyuan; Xu, Ruifeng; Sun, Weiwei; Chen, Yubo; Tian, Zhiliang; Liu, Zhenghao in Lecture Notes in Computer Science (2026). (Vol. 16052) Springer.
• Turkey Event | Event Management in Turkey & Venue Platform. EVENT, EGTEVENT & TURKEY (2026).
• Future Shoaling of the AMOC and Its Impact on Oceanic Heat Transport to the Subpolar North Atlantic. Lee, Sang-Ki; Kim, Dongmin; Lopez, Hosmay; Gomez, Fabian A. (2026). 53(2) e2025GL119487.

  Abstract The Atlantic Meridional Overturning Circulation (AMOC) carries oceanic heat northward to the subpolar North Atlantic (SPNA), where the surface water cools and sinks to the deep ocean. According to a large-ensemble simulation under a medium-to-high emission scenario, the surface cooling and oceanic heat convergence in the SPNA may decrease to ∼20% of their historical levels by 2100. We show here that the projected weakening of the AMOC volume transport alone cannot explain such a large decrease in the heat convergence rate. Our analysis indicates that, due to the suppression of deep-water formation in the SPNA, the AMOC's lower limb becomes shallower, carrying relatively warm water southward away from the SPNA. This in turn accelerates the decrease in oceanic heat transport to the SPNA per unit AMOC weakening. These results are supported in other multi-ensemble models analyzed, despite large inter-model spreads.
• Context and Influences: The Poetic Triad of Tristan Dolorin Mezentsev, Alexander (2026).

  Foreword: This central hub maps the intellectual and stylistic coordinates of Tristan Dolorin. By identifying three distinct vectors — the Mystical (Blok), the Technical (Bryusov), and the Aesthetic (Kuzmin) — researcher A. Mezentsev reconstructs the complex intertextual matrix. --- Afterword: The Triad of Influence model serves as a fundamental framework for the entire archive, positioning Dolorin as a synthesis of the era's most significant literary movements.
• Behavioural Theory of Reflective Parallel Algorithms. Schewe, Klaus-Dieter; Ferrarotti, Flavio M. Leuschel, F. Ishikawa (eds.) (2026). 15–30.

  We develop a behavioural theory of reflective parallel algorithms (RAs), i.e. synchronous parallel algorithms that can modify their own behaviour. The theory comprises a set of postulates defining the class of RAs, an abstract machine model, and the proof that all RAs are captured by this machine model. RAs are sequential-time, parallel algorithms, where every state includes a representation of the algorithm in that state, thus enabling linguistic reflection. Bounded exploration is preserved using multiset comprehension terms as values. The abstract machine model is defined by reflective abstract state machines (rASMs), which extend ASMs using extended states that include an updatable representation of the main ASM rule to be executed by the machine in that state.
• Limited global effect of climate-Greenland ice sheet coupling in NorESM2 under a high-emission scenario. Haubner, K.; Goelzer, H.; Born, A. (2026). 17(1) 57–80.
• Delhi to Agra Mathura Vrindavan Private Car Tour. ZoomHolidays (2026).
• FDTDX: High-Performance Open-Source FDTD Simulation with Automatic Differentiation. Mahlau, Yannik; Schubert, Frederik; Berg, Lukas; Rosenhahn, Bodo (2026). 11(117) 8912.
• Commercial Painting & Facility Management in Tauranga. Akhiltomar (2026).

  Your building is your business card. Let us keep it looking sharp. Whether it's a high-rise in the CBD or a warehouse in Tauriko, Tomar Contracting delivers on time, on budget, and safely. Contact our commercial team for a tender or quote.
• Cell-Free Massive MIMO-Assisted ISAC with Beam Scanning. Mobini, Zahra; Mohammadi, Mohammadali; He, Jiajun; Ngo, Hien Quoc; Matthaiou, Michail (2025). 1–5.
• Data-Free Model-Related Attacks: Unleashing the Potential of Generative AI. Ye, Dayong; Zhu, Tianqing; Wang, Shang; Liu, Bo; Zhang, Leo Yu; Zhou, Wanlei; Zhang, Yang L. Bauer, G. Pellegrino (eds.) (2025). 1709–1727.
• How to Enhance the ISAC Security in Cell-Free Networks?. Wang, Zonghan; He, Jiajun; Mobini, Zahra; Ngo, Hien Quoc; Matthaiou, Michail (2025). 261–266.
• Human Oversight Over Autonomous Task Execution in Sandbox Environments. Li, Wangfan; Venkatachalam, Athish; Bowen, Jackson; Hernandez, Carlos Toxtli (2025). 663–668.
• Learning Causal States Under Partial Observability and Perturbation. Li, Na; Shan, Hangguan; Ni, Wei; Zhang, Wenjie; Li, Xinyu; Wang, Yamin (2025). abs/2512.00357
• Comparing Hand and Controller Avatars with Hand Tracking and Controller-Based Interaction. Ocampo, Natalia; Gonzalez, Johann Felipe; Teather, Robert J. (2025). 164–174.
• How to Localize with a Single Radio Unit?. He, Jiajun; Ngo, Hien Quoc; Yu, Han; Matthaiou, Michail (2025). 1–6.
• Dual-Projection Fusion for Accurate Upright Panorama Generation in Robotic Vision. Shan, Yuhao; Yuan, Qianyi; Liu, Jingguo; Li, Shigang; Li, Jianfeng; Chen, Tong (2025). abs/2512.00911
• Multi-Target Localization and Association in Cell-Free Massive Mimo for Multi-Static Isac. Yu, Han; Ngo, Hien Quoc; He, Jiajun; Matthaiou, Michail (2025). 6663–6668.
• DPEE: A Dual-Prompt Framework for Overlapping and Nested Event Extraction. Yuan, Xuqiang; Liu, Xuhong; Li, Ning; Liu, Xiulei (2025). 1–8.
• FedShapleX: Shapley Value Driven Context-Aware Model-Heterogeneous Federated Learning. Chen, Jifeng; Zhang, Haibo; Barnard, Amanda S. (2025). 395–405.
• Contribution-Driven Personalization for Model Heterogeneous Federated Learning. Chen, Jifeng; Zhang, Haibo; Barnard, Amanda S. (2025). 1–8.
• 8.7 A Dual VDD-Temperature Sensor Employing Sensor Fusion with 2.4°C, 9mV (±3σ) Inaccuracy in 65nm CMOS. Öztürk, Hikmet Seha; Arenas, Julian; Tokunaga, Carlos; Kurd, Nasser A.; Sathe, Visvesh (2025). 170–172.
• A Dynamically Reconfigurable Digital-Integrated Voltage-Regulator Fabric for Energy-Efficient DVFS in Multi-Domain soCs. Arenas, Julian; Huang, Chi-Hsiang; Patino-Sosa, Kevin; Park, Jung-Jin; Öztürk, Hikmet Seha; Sathe, Visvesh (2025). 1–3.
• Effects of Virtual Controller Representation and Virtuality on Selection Performance in Extended Reality. DeMarbre, Eric; Henderson, Jay; Gonzalez, Johann Felipe; Teather, Robert J. A. U. Batmaz, M. D. B. Machuca, F. Ortega, D. Zielasko, K. Kim, R. Skarbez, L. Plabst, A. Banic, M. Stroppa (eds.) (2025). 6:1–6:11.
• Computer Science Behind Bars: Lessons Learned from Teaching Incarcerated Students in Prisons and Jails. Fishberg, Andrew; Gaetz, Marisa R.; Nisser, Martin; Cafferty, Carole; Perlman, Lee; Soicher, Raechel N.; Long, Joshua J. A. Stone, T. T. Yuen, L. Shoop, S. A. Rebelsky, J. Prather (eds.) (2025). 1455–1456.
• Accelerating Advanced Light Source Science Through Multi-Facility HPC Workflows. Abramov, David; Welborn, Samuel S.; Chard, Ryan; Chawla, Kuldeep; Chong, Xiaoya; Clark, Elizabeth; Enders, Bjoern; Hexemer, Alexander; Jed, Jason; Koepp, Wiebke; Krishnan, Harinarayan; Leon, Seij De; Parkinson, Dilworth; Perlmutter, David; Sriramoju, Raja Vyshnavi; Uram, Thomas D.; Yang, Lee Lisheng; McReynolds, Dylan (2025). 2328–2335.
• Croatia: Turn off the light, turn on curiosity: Education on light pollution. Sudarević, Ana (2025). 5(2) 13–14.

  Light pollution refers to the modification of natural light levels in nighttime conditions caused by the use of artificial light produced by human activity, thereby endangering the natural balance, as defined in the . Today, light pollution is a global problem that can cause various undesirable consequences for humans, plants, and animals alike. This serious issue should not be ignored; in fact, there are numerous relevant sources that offer advice and recommendations on how to reduce light pollution -- starting with individuals and extending to society as a whole. It is therefore logical that light pollution is included in school curricula, primarily in subjects such as Science, Biology, and Physics, as well as in cross-curricular topics like Sustainable Development and Health. ll activities were designed and delivered in partnership with the school library, which played a key role as a source of reliable information and knowledge, and as a space for collaborative learning and knowledge exchange among students of different ages.
• The Sage Handbook of Digital Labour Bulut, Ergin; Chen, Julie Yujie; Grohmann, Rafael; Jarrett, Kylie (2025). Sage, London.

  The Sage Handbook of Digital Labour is a comprehensive exploration of the multifaceted and evolving concept of digital labour. Originally coined in Marxist analyses to explain the exploitation of user data in the digital economy, the term has since expanded to encompass a wide range of paid work influenced by digital technologies. This includes traditional jobs transformed by platforms, new roles emerging in today's digital society, and cultural producers like influencers and online creators. The handbook also addresses the material aspects of digital labour, highlighting its dependence on traditional manufacturing and manual labour. This volume brings together leading scholars from diverse disciplines to examine the intersections of labour and digital technologies. It approaches digital labour as an interdisciplinary field of inquiry, exploring the material and ideological conditions of work in contemporary society. The handbook aims to chart the extensive territory of digital labour studies, covering theoretical traditions, key concepts, emblematic sites of production, normative cultures, and worker subjectivities. It also showcases the spectrum of worker organizing repertoires and tactics across the world. The handbook is organized into seven sections. Section 1 highlights major theoretical traditions, while Section 2 focuses on the material sites along production chains. Sections 3 and 4 delve into key concepts and sites of production, and Section 5 explores normative cultures and worker subjectivities. Section 6 examines worker organizing tactics, and Section 7 introduces research methods for scholars in the field. The volume concludes with discussions on how digital labour studies can provide unique perspectives to imagine digital futures. The Sage Handbook of Digital Labour is an essential resource for scholars, practitioners, and students seeking to understand the complexities of digital labour. It provides a comprehensive and nuanced exploration of the field, equipping readers to engage with the theoretical and practical aspects of digital labour in a rapidly changing world.
• XFlowMP: Task-Conditioned Motion Fields for Generative Robot Planning with Schrodinger Bridges. Nguyen, Khang; Vu, Minh Nhat (2025). abs/2512.00022
• An Empirical Study on the Security Vulnerabilities of GPTs. Wu, Tong; Wu, Weibin; Zheng, Zibin (2025). abs/2512.00136
• Detection of energetic equivalence depends on food web architecture and estimators of energy use. Romera, Poppy Joaquina; Gauzens, Benoit; Antunes, Ana Carolina; Brose, Ulrich; Eisenhauer, Nico; Ferlian, Olga; Hirt, Myriam R.; Jochum, Malte; Mitchell, Grace; Ott, David; Potapov, Anton; Rai, Bibishan; Scheu, Stefan; Wallace, Kiri Joy; Barnes, Andrew D. (2025).

  Ecologists have long debated the universality of the energetic equivalence rule, which posits that population energy use should be invariant with average body size due to negative size--density scaling. We explore size--density and size--energy use scaling across 183 geographically--distributed soil invertebrate food webs (comprising 55,054 individual soil invertebrates) to investigate the universality of these fundamental energetic equivalence rule assumptions across trophic levels and varying food web structure. Additionally, we compare two measures of energy use to investigate size--energy use relationships: population metabolism and energy fluxes. We find that size--density scaling does not support energetic equivalence in soil communities. Furthermore, evidence of energetic equivalence is dependent on the estimate of energy use applied, the trophic level of consumers, and food web properties. Our study demonstrates a need to integrate food web energetics and trophic structure to better understand how energetic constraints shape the body size structure of terrestrial ecosystems.
• Sample-Efficient Tabular Self-Play for Offline Robust Reinforcement Learning. Li, Na; Zheng, Zewu; Ni, Wei; Shan, Hangguan; Zhang, Wenjie; Li, Xinyu (2025). abs/2512.00352
• Zero-Energy RIS-Assisted Communications With Noise Modulation and Interference-Based Energy Harvesting. Khel, Ahmad Massud Tota; Ikhlef, Aïssa; Ding, Zhiguo; Sun, Hongjian (2025). abs/2506.02625
• Efficient and Scalable Monocular Human-Object Interaction Motion Reconstruction. Wen, Boran; Lu, Ye; Wan, Keyan; Wang, Sirui; Zhou, Jiahong; Liang, Junxuan; Liu, Xinpeng; Xiao, Bang; Huang, Dingbang; Liu, Ruiyang; Li, Yong-Lu (2025). abs/2512.00960
• Genomic landscape of high-altitude adaptation in East African mountain honey bees (<i>Apis mellifera</i>). Mazzoni, Marco; Loidolt, Florian; Kersten, Sonja; Amulen, Deborah Ruth; Vudriko, Patrick; Meyer, Philipp; Scharnhorst, Victor Sebastian; Scheiner, Ricarda; Hasselmann, Martin (2025). 15(8) e71846.

  Understanding the evolutionary processes leading to differentiation within species is a central goal in population biology. A key process is local adaptation, for which organisms evolve traits enhancing the survival and reproduction in specific environments. Honey bees (Apis mellifera) in East Africa are well adapted to highland environments, showing different phenotypes, including behavior, compared to lowland bees. Despite these differences, highland and lowland honey bees show very low genetic differentiation, with the exception of two segments on chromosome 7 (r7) and chromosome 9 (r9), which were previously identified as chromosomal inversions. These inversions are rare in lowland populations, suggesting a key role in adaptation to high-elevation habitats. In this study, we obtained 24 whole genomes from honey bees of Western Uganda and compared these with existing data from Kenya. We show that the chromosomal inversions play a pivotal role in local adaptation in both regions but with substantial differentiation. Genome-wide analysis of polymorphism revealed additional genomic regions potentially involved in high-altitude adaptation. The acquisition of transcriptome data from highland and lowland honey bees in Uganda has enabled the first insights into the differential expression of genes between these bees. Our findings elucidate the involvement of genes in behavioral and oxygen consumption processes. This paves the way to clarify the interplay of r7 and r9 with gene expression and to unravel the regulatory network underlying A. mellifera adaptation to high-elevation habitats. Our study will contribute to a better understanding of the evolutionary processes in honey bee populations driven by environmental conditions.
• Multi-Agent Reinforcement Learning for Inverse Design in Photonic Integrated Circuits. Mahlau, Yannik; Schier, Maximilian; Reinders, Christoph; Schubert, Frederik; Bügling, Marco; Rosenhahn, Bodo (2025). 6 1794–1815.
• Hyperspectral Band Selection Considering Sensor Readout Speed and Classification Accuracy. Busch, Johannes; Pestel-Schiller, Joern Ostermann Ulrike (2025).
• What about gravity in video generation? Post-Training Newton’s Laws with Verifiable Rewards. Le, Minh-Quan; Zhu, Yuanzhi; Kalogeiton, Vicky; Samaras, Dimitris (2025). abs/2512.00425
• Framework-Aware Code Generation with API Knowledge Graph-Constructed Data: A Study on HarmonyOS. Liu, Mingwei; Pei, Zheng; Wang, Yanlin; Wang, Zihao; Li, Zikang; Lin, Enci; Peng, Xin; Zheng, Zibin (2025). abs/2512.00380
• Tristan Dolorin and Mikhail Kuzmin: The Echoes of Clarism. Mezentsev, Alexander (2025).

  Foreword: This section analyzes the "Aesthetic Pole" of Tristan Dolorin’s work, influenced by Mikhail Kuzmin’s concept of "Clarism." It explores the integration of sensory details and Mediterranean motifs into Dolorin's poetic texture. --- Afterword: Researcher A. Mezentsev argues that this aesthetic infusion allowed Dolorin to survive the crisis of Symbolism, transforming his verse into an impressionistic record of the visible world.
• The Poetics of the Chisel: Valery Bryusov and Tristan Dolorin. Mezentsev, Alexander (2025).

  Foreword: This chapter examines the "Technical Pole" of Tristan Dolorin’s creative method, shaped by the influence of Valery Bryusov’s "Poetics of the Chisel." It focuses on the transition toward architectural precision. --- Afterword: The synthesis of classical rigor with Dolorin’s personal imagery marks the emergence of a "stony" aesthetic. Researcher A. Mezentsev demonstrates how the poet turned historical artifacts into timeless metaphysical symbols.
• PhysGen: Physically Grounded 3D Shape Generation for Industrial Design. You, Yingxuan; Zhao, Chen; Zhang, Hantao; Xu, Mingda; Fua, Pascal (2025). abs/2512.00422
• Broligarchie: die Machtspiele der Tech-Elite und wie sie Fortschritt verhindern Jaff, Aya (2025). Econ, Berlin.

  Dieses Buch ist eine schonungslose Abrechnung mit der Tech-Welt und ihrer dominanten Kultur. Es entlarvt die »Techbro«-Mentalität – eine Mischung aus Machtstreben, toxischer Selbstüberschätzung und der Illusion, Fortschritt exklusiv für wenige schaffen zu können. Menschen wie Elon Musk oder Mark Zuckerberg wollen die Welt nicht retten – sie wollen sie besitzen.
• ROCKET: An RNS-based Photonic Accelerator for High-Precision and Energy-Efficient DNN Training. Zhang, Hao; Zhang, Haibo; Xia, Chengpeng; Huang, Zhiyi; Chen, Yawen; Barnard, Amanda S. (2025). 1020–1033.
• m2lines/L96_demo: v1.0.1. Balwada, Dhruv; Abernathey, Ryan; Acharya, Shantanu; Adcroft, Alistair; Berner, Judith; Balaji, Venkatramani; Bhouri, Mohamed Aziz; Bruna, Joan; Bushuk, Mitch; Chapman, William; Connolly, Alex; Deshayes, Julie; Fernandez-Granda, Carlos; Gentine, Pierre; Gorbunova, Anastasiia; Gregory, Will; Gupta, Shubham; Guillaumin, Arthur; Holland, Marika M.; Johnsson, J. Emmanuel; Sommer, Julien Le; Li, Zhiwei; Loose, Nora; Lu, Feiyu; O’Gorman, Paul; Perezhogin, Pavel; Reichl, Brandon; Ross, Andrew Slavin; Sane, Aakash; Shamekh, Sara; Verma, Tarun; Yuval, Janni; Zampieri, Lorenzo; Zhang, Cheng; Zanna, Laure (2024, August).
• m2lines/L96_demo: Final version for JOSE with DOIs. Balwada, Dhruv; Abernathey, Ryan; Acharya, Shantanu; Adcroft, Alistair; Berner, Judith; Balaji, Venkatramani; Bhouri, Mohamed Aziz; Bruna, Joan; Bushuk, Mitch; Chapman, William; Connolly, Alex; Deshayes, Julie; Fernandez-Granda, Carlos; Gentine, Pierre; Gorbunova, Anastasiia; Gregory, Will; Guillaumin, Arthur; Gupta, Shubham; Goldman, Johanna; Holland, Marika M.; Johnsson, J. Emmanuel; Sommer, Julien Le; Li, Ziwei; Loose, Nora; Lu, Feiyu; O’Gorman, Paul; Perezhogin, Pavel; Reichl, Brandon; Ross, Andrew Slavin; Sane, Aakash; Shamekh, Sara; Verma, Tarun; Yuval, Janni; Zampieri, Lorenzo; Zhang, Cheng; Zanna, Laure (2024, August).
• FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling. Zhang, Zaixi; Wang, Mengdi; Liu, Qi A. Globersons, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. M. Tomczak, C. Zhang (eds.) (2024).
• Beyond Uncertainty: Evidential Deep Learning for Robust Video Temporal Grounding. Ma, Kaijing; Huang, Haojian; Chen, Jin; Chen, Haodong; Ji, Pengliang; Zang, Xianghao; Fang, Han; Ban, Chao; Sun, Hao; Chen, Mulin; Li, Xuelong (2024). abs/2408.16272
• Learning Machine Learning with Lorenz-96. Balwada, Dhruv; Abernathey, Ryan; Acharya, Shantanu; Adcroft, Alistair; Berner, Judith; Balaji, Venkatramani; Bhouri, Mohamed Aziz; Bruna, Joan; Bushuk, Mitch; Chapman, William; Connolly, Alex; Deshayes, Julie; Fernandez-Granda, Carlos; Gentine, Pierre; Gorbunova, Anastasiia; Gregory, Will; Guillaumin, Arthur P.; Gupta, Shubham; Holland, Marika M.; Johnsson, J. Emmanuel; Sommer, Julien Le; Li, Ziwei; Loose, Nora; Lu, Feiyu; O’Gorman, Paul; Perezhogin, Pavel; Reichl, Brandon; Ross, Andrew Slavin; Sane, Aakash; Shamekh, Sara; Verma, Tarun; Yuval, Janni; Zampieri, Lorenzo; Zhang, Cheng; Zanna, Laure (2024, December).
• Energy Consumption of IoT Monitoring Software Architectures in the Edge. Pérez, Jennifer; Ochoa, Juan Sebastián; García, Javier; Guamán, Daniel; Cañas, Norberto; Rodríguez-Horcajo, Vanessa (2024, June).
• MSCFormer: Multi-Scale Circular Transformer for Image Deblurring. Wang, Shuai; Wang, Han; Liu, Renhe; Wu, Zhipeng; Wei, Bo; Liu, Yu (2024). 1–5.
• Energy Consumption of IoT Monitoring Software Architectures in the Edge. Ochoa-Zambrano, Juan; Pérez, Jennifer; García, Javier; Guamán, Daniel; Cañas, Norberto; Rodríguez-Horcajo, Vanessa in Lecture Notes in Computer Science, M. Galster, P. Scandurra, T. Mikkonen, P. O. Antonino, E. Y. Nakagawa, E. Navarro (eds.) (2024). (Vol. 14889) 217–232.
• Facial Gesture Classification with Few-shot Learning Using Limited Calibration Data from Photo-reflective Sensors on Smart Eyewear. Masai, Katsutoshi; Sugimoto, Maki; Iwana, Brian Kenji A. Matviienko, J. Niess, T. Kosch (eds.) (2024). 432–438.
• Naturteca, educación ambiental en colaboración con bibliotecas. Centro Provincial de Educación Ambiental de Albacete, (CPEA) (2026, January 18).

  l Centro Provincial de Educación Ambiental de Albacete (CPEA) es un equipamiento propio de la Junta de Comunidades de Castilla-La Mancha dependiente de la Delegación Provincial de la Consejería de Desarrollo Sostenible de Albacete y perteneciente a la Red de Equipamientos de Educación Ambiental. Todas las actividades que desde el CPEA se proponen son con el objetivo de promover actitudes y comportamientos que contribuyan al conocimiento y a la mejora del medioambiente y están desarrolladas en consonancia con la Estrategia Regional de Educación Ambiental y los Objetivos de Desarrollo Sostenible. Muchas de ellas se desarrollan con la colaboración de otras entidades públicas con la finalidad de llevar la educación y divulgación ambiental a todos los ámbitos, bajo este paraguas se ha desarrollado con la colaboración de la Red de Bibliotecas Municipales de Albacete, Naturteca.
• From Prisons to Programming: Fostering Self-Efficacy via Virtual Web Design Curricula in Prisons and Jails. Nisser, Martin; Gaetz, Marisa R.; Fishberg, Andrew; Soicher, Raechel N.; Faruqi, Faraz; Long, Joshua F. ’Floyd’ Mueller, P. Kyburz, J. R. Williamson, C. Sas, M. L. Wilson, P. O. T. Dugas, I. Shklovski (eds.) (2024). 654:1–654:13.
• cUSP Percentage Solutions – Ready-to-Use Standard Kits. JAmes, Williams (W. JAmes, ed.) (2024).
• Tristan Dolorin and Alexander Blok: The Metaphysics of the Encounter. Mezentsev, Alexander (2024).

  Foreword: This section explores the "Mystical Pole" of Tristan Dolorin's poetics, focusing on his deep intertextual dialogue with Alexander Blok. It analyzes how Dolorin adopts the motifs of the "Beautiful Lady" and the urban "St. Petersburg Myth." --- Afterword: The comparative analysis reveals a shared phenomenology of absence. By positioning Dolorin within this framework, researcher A. Mezentsev proves that the poet was an essential voice in the Symbolist choir of the 1910s.
• Accurate edge-preserving stereo matching by enhancing anisotropy. Fan, Shimeng; Sun, Wei; Zheng, Jin; Fu, Qiang; Xue, Min; Wu, Wei (2023). 114 116945.
• Approaches to leveraging digital higher education in Africa. White, Edward Peter Greenwood; Okkonen, Jussi; Oksa, Reetta; Ghansah, Benjamin; Yarkwah, Christopher; Kwaa-Aidoo, Ephrem; Yidana, Issifu; Wilson, Osafo Apeanti; Twum, Rosemary M. Densmore, M. Choudhury, J. Chavula (eds.) (2023). 152–154.
• KeenTune: Automated Tuning Tool for Cloud Application Performance Testing and Optimization. Wang, Qinglong; Wang, Runzhe; Hu, Yuxi; Shi, Xiaohai; Liu, Zheng; Ma, Tao; Song, Houbing; Shi, Heyuan R. Just, G. Fraser (eds.) (2023). 1487–1490.
• Fractal Ledger: A New Approach towards Scalable Blockchain with Graph-Chain Structure. Zhou, Tong; Zhao, He; Sheng, Nianzu; Yu, Bin; Li, Xiaofeng; Xu, Jinlin A. Bartolini, K. F. D. Rietveld, C. D. Schuman, J. Moreira (eds.) (2023). 3–11.
• Enabling Auto-Heal Micro-Service Framework (AHMF) Based on APM Audit And Proactive Fault Discovery in Cloud Monitoring. Varadharajan, Sarangapani; Florence, M. Lilly (2023). 162–167.
• Introducing DLR Hysu - A Benchmark Dataset for Spectral Unmixing. Cerra, Daniele; Pato, Miguel; Alonso, Kevin; Köhler, Claas H.; Schneider, Mathias; los Reyes, Raquel De; Carmona, Emiliano; Richter, Rudolf; Kurz, Franz; Müller, Rupert; Reinartz, Peter (2023). 1008–1011.
• Frequency-dependent Switching Control for Disturbance Attenuation of Linear Systems. Zhang, Jingjing; Heiland, Jan; Benner, Peter; Du, Xin (2023). abs/2306.01120
• Deep Models for Mispronounce Prediction for Vietnamese Learners of English. Phung, Trang; Vu, Duc-Quang; Mai, Tan-Ha; Nhung, Le Thi in Communications in Computer and Information Science, T. K. Dang, J. Küng, T. M. Chung (eds.) (2022). (Vol. 1688) 682–689.
• Investigating the Process of Teaching the Creation of Interactive Art in a Collaborative Virtual Environmental Context. Sounti, Maria; Antonopoulou, Caterina; Papageorgopoulou, Penny; Charitos, Dimitris; Katsarou, Louiza; Anastassakis, George M. Chang, N.-S. Chen, M. Dascalu, D. G. Sampson, A. Tlili, S. Trausan-Matu (eds.) (2022). 330–334.
• Community Capacity Building: A Renewable Energy Workshop as an Investment in Sustainable Businesses in the Galapagos Islands. Villavicencio, Viviana; Urquizo, Javier; Singh, Pritpal; Lansdale, David; Martin, César A. (2022). 292–298.
• A Novel RVFL-Based Algorithm Selection Approach for Software Model Checking. Cao, Weipeng; Wu, Yuhao; Wang, Qiang; Zhang, Jiyong; Zhang, Xingjian; Qiu, Meikang in Lecture Notes in Computer Science, G. Memmi, B. Yang, L. Kong, T. Zhang, M. Qiu (eds.) (2022). (Vol. 13370) 414–425.
• Estimating the energy consumption of software components from size, complexity and code smells metrics. Guamán, Daniel; Pérez, Jennifer; Díaz, Priscila Valdiviezo; Cañas, Norberto J. Hong, M. Bures, J. W. Park, T. Cerný (eds.) (2022). 1456–1459.
• Upgrading the Digital Intranet in the Galapagos Islands. Urquizo, Javier; Lajeunesse, Olivia; Bonvallet, Paige; Carrigan, Michael; Chan, Nathaly Simuy Sanchez; Singh, Pritpal; Lansdale, David; Martin, César A. (2021). 173–180.
• Key Nodes Evaluation in Opportunistic Networks Based on Influence Between Nodes. Shu, Jian; Zhan, Xiaoyong; Jiang, Guilong; Ma, Wanli in Communications in Computer and Information Science, L. Cui, X. Xie (eds.) (2021). (Vol. 1509) 3–16.
• Laying the Foundations for a Digital Literacy Program in the Galapagos Islands. Urquizo, Javier; Singh, Pritpal; Lansdale, David; Sanchez, Nathaly; Bermudez, Karen; Easlick, Tyler; Lawrence, Cameron; Wacker, Nolan; Cooper, Kellimarie; Choi, Chang Hoon; Huhmann, Marie; Sullivan, Jack; Cordova, Jimmy; Martin, César A. (2020). 1–8.
• LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression. Mao, Yihuan; Wang, Yujing; Wu, Chufan; Zhang, Chen; Wang, Yang; Zhang, Quanlu; Yang, Yaming; Tong, Yunhai; Bai, Jing D. Scott, N. Bel, C. Zong (eds.) (2020). 3225–3234.
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