On November the 10th departments and institutes of the Leibniz University Hannover offered visitors a comprehensive look into their current research efforts.

Together the research institute L3S (Leibniz University Hannover), ISU (the Institute for Sustainable Urbanism – TU Brunswig)  and 1KLANG®, (mobility brand – PROJEKTIONISTEN® GmbH), showcased their joint research project Data4UrbanMobility.

Interested visitors were able try out all of the apps and dashboards that are being developed as a part of the research project.

(for fruther details: https://data4urbanmobility.l3s.uni-hannover.de/index.php/en/results/).

One of the highlights was the new iOS version of the “MiC” app that now supports Apple Watch.

We’re grateful for all of the insightful discussions we were able to have with the attendees at the event and are looking forward to sharing our beta of the Citizen Science App „MiC – Move in the City“ with so many new volunteers.

• A unified anomaly synthesis strategy with gradient ascent for industrial anomaly detection and localization. Chen, Qiyu; Luo, Huiyuan; Lv, Chengkan; Zhang, Zhengtao (2025). 37–54.
• A stochastic field theory for the evolution of quantitative traits in finite populations. Bhat, Ananda Shikhara (2025). 161 1–12.

  Infinitely many distinct trait values may arise in populations bearing quantitative traits, and modeling their population dynamics is thus a formidable task. While classical models assume fixed or infinite population size, models in which the total population size fluctuates due to demographic noise in births and deaths can behave qualitatively differently from constant or infinite population models due to density-dependent dynamics. In this paper, I present a stochastic field theory for the eco-evolutionary dynamics of finite populations bearing one-dimensional quantitative traits. I derive stochastic field equations that describe the evolution of population densities, trait frequencies, and the mean value of any trait in the population. These equations recover well-known results such as the replicator-mutator equation, Price equation, and gradient dynamics in the infinite population limit. For finite populations, the equations describe the intricate interplay between natural selection, noise-induced selection, eco-evolutionary feedback, and neutral genetic drift in determining evolutionary trajectories. My work uses ideas from statistical physics, calculus of variations, and SPDEs, providing alternative methods that complement the measure-theoretic martingale approach that is more common in the literature.
• A Benchmark and Robustness Study of In-Context-Learning with Large Language Models in Music Entity Detection. Hachmeier, Simon; Jäschke, Robert in COLING’25 (2025).
• On the Robustness of Cover Version Identification Models: A Study Using Cover Versions from YouTube. Hachmeier, Simon; Jäschke, Robert (2025).
• Artificial intelligence: a “promising technology”. Hirsch-Kreinsen, Hartmut (2024). 39(4) 1641–1652.

  This paper addresses the question of how the ups and downs in the development of artificial intelligence (AI) since its inception can be explained. It focuses on the development of artificial intelligence in Germany since the 1970s, and particularly on its current dynamics. An assumption is made that a mere reference to rapid advances in information technologies and the various methods and concepts of artificial intelligence in recent decades cannot adequately explain these dynamics, because from a social science perspective, this is an oversimplified, technology-centred explanation. Drawing on ideas from social scientific innovation research, the hypothesis is rather that artificial intelligence should be understood as a ``promising technology''. Its various stages of development have always been driven by technological promises about its special powers and capabilities when applied to solving economic and societal challenges.
• Reinforcement Learning: An Overview. Murphy, Kevin (2024).
• Die Maßnahme Blaufeuer für Erwerbstätige mit psychischer Belastung und gleichzeitiger Arbeitsplatzproblematik – Wird die Zielgruppe erreicht?. Schuler, Michael; Gerlich, Christian; Leven, Lorenz; Renz, Silvan; Pamperin, Ina; Vorsatz, Nadine; Vogel, Heiner (2024). 67(7) 806–814.
• A Processing Framework for Graph-based Urban Area Delineation and Analysis. Technical Report (Master thesis), Gruber, Lorenz PhD thesis, University of Wuerzburg. (2024, August).
• A Processing Framework for Graph-based Urban Area Delineation and Analysis. Technical Report (Master thesis), Gruber, Lorenz PhD thesis, University of Wuerzburg. (2024, August).
• A Processing Framework for Graph-based Urban Area Delineation and Analysis. Technical Report (Master thesis), Gruber, Lorenz PhD thesis, University of Wuerzburg. (2024, August).
• Information extraction of music entities in conversational music queries. Hachmeier, Simon; Jäschke, Robert in NLP4MusA’24 (2024).
• Enhancing Organizational Efficiency of the Lantern Festival in Penghu, Taiwan Through Information Technology: Key Factors Analysis. Chang, Shih-Ping; Huang, Han-Chen (2024).

  Stellar magnetic activity produces time-varying distortions in the photospheric line profiles of solar-type stars. The changing shape of the profile produces systematic errors in high-precision radial-velocity measurements, which limit efforts to discover and measure the masses of low-mass exoplanets with orbital periods of more than a few tens of days. We present a new data-driven method for separating Doppler shifts of dynamical origin from apparent velocity variations arising from variability-induced changes in the stellar spectrum. It uses the invariance to translation in the velocity domain of the autocorrelation function of the spectrum (and of its cross-correlation function). By projecting the measured velocity time series onto the principal components of the autocorrelation function, we isolate the velocity perturbations caused by solar magnetic activity. Dynamical shifts are preserved when we subtract the projected perturbations from the original velocity measurements. We demonstrate its effectiveness using a 5-year time sequence of 880 daily-averaged cross-correlation functions of the solar spectrum from the HARPS-N instrument and solar-telescope feed on the 3.58-m Telescopio Nazionale Galileo, reduced with a new version of the HARPS-N data-reduction pipeline. We inject synthetic low-mass planet signals with amplitude \($K=40$\) cm s\($^-1$\) into the solar observations at a wide range of orbital periods. We find that our method isolates these signals effectively from solar activity signals. Their semi-amplitudes are recovered with a precision of \($\sim 4.4$\) cm~s\($^-1$\), opening the door to Doppler detection and characterization of terrestrial-mass planets around well-observed, bright main-sequence stars across a wide range of orbital periods.
• `Tipping points’ confuse and can distract from urgent climate action. Kopp, Robert E.; Gilmore, Elisabeth A.; Shwom, Rachael L.; Adams, Helen; Adler, Carolina; Oppenheimer, Michael; Patwardhan, Anand; Russill, Chris; Schmidt, Daniela N.; York, Richard (2024).

  Tipping points have gained substantial traction in climate change discourses. Here we critique the `tipping point' framing for oversimplifying the diverse dynamics of complex natural and human systems and for conveying urgency without fostering a meaningful basis for climate action. Multiple social scientific frameworks suggest that the deep uncertainty and perceived abstractness of climate tipping points render them ineffective for triggering action and setting governance goals. The framing also promotes confusion between temperature-based policy benchmarks and properties of the climate system. In both natural and human systems, we advocate for clearer, more specific language to describe the phenomena labelled as tipping points and for critical evaluation of whether, how and why different framings can support scientific understanding and climate risk management.
• P13461 Instruction Movie: Installation of EEG cap and electrodes. Schrausser, Dietmar Gerald; Neubauer, Aljoscha (2024, December).

  Description of the necessary steps for the installation of EEG cap and electrodes within the FWF project P13461, Neuronale Effizienz des Gehirns als physiologische Grundlage menschlicher Intelligenz (Neural efficiency of the brain as physiological basis of human intelligence).
• A handheld stereo vision and LiDAR system for outdoor dense RGB-D mapping using depth map completion based on learned priors. Bleier, M.; Yuan, Y.; Nüchter, A. in ISPRS Int. Archives Photogrammetry and Remote Sensing, Spatial Inf. Sci., XLVIII-2/W1-2024 (2024).

  This paper proposes a handheld mapping system consisting of a stereo camera setup combined with low-cost automotive LiDAR. The prototype system is applicable to various types of mobile monocular, stereo vision and LiDAR data collection and processing. Capturing dense RGB-D data outdoors with low-cost sensors is challenging, especially when low latency is required. Readily available commercial RGB-D sensors are typically limited to a range of less than 10 m, which is too small to capture large outdoor structures. Currently available low-cost automotive LiDAR scanners feature a suitable range but provide only sparse data. To enable low-latency dense RGB-D scans we augment the sparse LiDAR data with the RGB data stream based on learned models. We apply monocular depth estimation based on a single image and apply scale correction based on learned priors and sparse automotive LiDAR scans. Using the laser scan data, accurate metric information is incorporated directly into the scale estimation stage. For validation, the learning-based depth map completion is compared to traditional LiDAR mapping using scan matching on an outdoor data set acquired with the proposed handheld. While the model-based regression of the sparse LiDAR data produces significantly less accurate results in our experiments, it is able to compute dense RGB-D data from a single sparse 3D scan and monocular RGB image with low latency.
• Pam16 and Pam18 were repurposed during Trypanosoma brucei evolution to regulate the replication of mitochondrial DNA. von Känel, Corinne; Stettler, Philip; Esposito, Carmela; Berger, Stephan; Amodeo, Simona; Oeljeklaus, Silke; Calderaro, Salvatore; Durante, Ignacio M.; Rašková, Vendula; Warscheid, Bettina; Schneider, André (2024). 22(8) 1–33.

  Protein import and genome replication are essential processes for mitochondrial biogenesis and propagation. The J-domain proteins Pam16 and Pam18 regulate the presequence translocase of the mitochondrial inner membrane. In the protozoan Trypanosoma brucei, their counterparts are TbPam16 and TbPam18, which are essential for the procyclic form (PCF) of the parasite, though not involved in mitochondrial protein import. Here, we show that during evolution, the 2 proteins have been repurposed to regulate the replication of maxicircles within the intricate kDNA network, the most complex mitochondrial genome known. TbPam18 and TbPam16 have inactive J-domains suggesting a function independent of heat shock proteins. However, their single transmembrane domain is essential for function. Pulldown of TbPam16 identifies a putative client protein, termed MaRF11, the depletion of which causes the selective loss of maxicircles, akin to the effects observed for TbPam18 and TbPam16. Moreover, depletion of the mitochondrial proteasome results in increased levels of MaRF11. Thus, we have discovered a protein complex comprising TbPam18, TbPam16, and MaRF11, that controls maxicircle replication. We propose a working model in which the matrix protein MaRF11 functions downstream of the 2 integral inner membrane proteins TbPam18 and TbPam16. Moreover, we suggest that the levels of MaRF11 are controlled by the mitochondrial proteasome.
• Mass spectrometry-based proteomics to study mutants and interactomes of mitochondrial translocation proteins. Oeljeklaus, Silke; Sharma, Lakshita; Bender, Julian; Warscheid, Bettina (2024). 101–152.
• Protein phosphatase-1 regulates the binding of filamin C to FILIP1 in cultured skeletal muscle cells under mechanical stress. Kokot, Thomas; Zimmermann, Johannes P.; Schwäble, Anja N.; Reimann, Lena; Herr, Anna L.; Höfflin, Nico; Köhn, Maja; Warscheid, Bettina (2024). 14(1) 27348.

  The actin-binding protein filamin c (FLNc) is a key mediator in the response of skeletal muscle cells to mechanical stress. In addition to its function as a structural scaffold, FLNc acts as a signaling adaptor which is phosphorylated at S2234 in its mechanosensitive domain 20 (d20) through AKT. Here, we discovered a strong dephosphorylation of FLNc-pS2234 in cultured skeletal myotubes under acute mechanical stress, despite high AKT activity. We found that all three protein phosphatase 1 (PP1) isoforms are part of the FLNc d18-21 interactome. Enzymatic assays demonstrate that PP1 efficiently dephosphorylates FLNc-pS2234 and in vitro and in cells upon PP1 activation using specific modulators. FLNc-pS2234 dephosphorylation promotes the interaction with FILIP1, a mediator for filamin degradation. Altogether, we present a model in which dephosphorylation of FLNc d20 by the dominant action of PP1c prevails over AKT activity to promote the binding of the filamin degradation-inducing factor FILIP1 during acute mechanical stress.
• Flow Matching Guide and Code. Lipman, Yaron; Havasi, Marton; Holderrieth, Peter; Shaul, Neta; Le, Matt; Karrer, Brian; Chen, Ricky T. Q.; Lopez-Paz, David; Ben-Hamu, Heli; Gat, Itai (2024).
• Problem Posing as a Way of Promoting Individual Mathematical Thinking in STEM Contexts - The Case of Climate Change. Siller, Hans-Stefan; Vorhölter, Katrin; Just, Janina (2024).

  Problems encountered in Science, Technology, Engineering and Mathematics (STEM) contexts cannot be adequately described or solved with the knowledge of a single discipline. Instead, a high level of inter- and transdisciplinary knowledge and methods is required to overcome them. These help to pose problems about the complex challenges and solve them in a creative way. The better the knowledge within one and of different disciplines is interlinked, the more targeted questions can be formulated and answered. Mathematical concepts serve as the foundation for many of the pressing problems of our time. At the same time, these problems offer a wide range of opportunities for individualized exploration. They are equally suitable for students with different interests and levels of ability, as everyone can identify and work on an individual problem within the given context. However, numerous studies have shown that posing adequate mathematical problems must be learnt as well as knowledge from different disciplines is not automatically linked or transferred to other situations. The ability to grasp the formal structure of a problem, recognize problems, and find connecting problems are characteristics of mathematically gifted children and young people that need to be promoted. In our theory-based contribution, we use a concrete context to illustrate which possible mathematically rich problems can be posed by students of different ages and abilities. This approach facilitates the development of their individual abilities according to their interests and potential.
• Coordination of cytochrome bc1 complex assembly at MICOS. Zerbes, Ralf M; Colina-Tenorio, Lilia; Bohnert, Maria; von der Malsburg, Karina; Peikert, Christian D; Mehnert, Carola S; Perschil, Inge; Klar, Rhena F U; de Boer, Rinse; Kram, Anita; van der Klei, Ida; Oeljeklaus, Silke; Warscheid, Bettina; Rampelt, Heike; van der Laan, Martin (2024).
• Ferrimagnetism from triple-q order in Na\($_\mathbf2$\)Co\($_\mathbf2$\)TeO\($_\mathbf6$\). Francini, Niccolò; Janssen, Lukas (2024). 110(23) 235118.
• Signal Modulation and Mixing by a Single Flexible Double-Gate InGaZnO TFT. Catania, Federica; Khaanghah, Niloofar Saeedzadeh; Corsino, Dianne C.; Carrasco-Pena, Alejandro; Cantarella, Giuseppe; Münzenrieder, Niko (2024). 15–18.
• Thermal Response and DC/AC Performance of InGaZnO-Based Thin-Film Thermistors and Transistors on a Flexible Thin Glass Substrate. Corsino, Dianne C.; Carrasco-Pena, Alejandro; Catania, Federica; Garner, Sean; Cantarella, Giuseppe; Münzenrieder, Niko (2024). 15–18.
• Threshold Voltage Instability in Flexible Bottom-Gate Al2O3/IGZO TFTs. De Rosis, Domenico; Vatalaro, Massimo; Maccaronio, Vincenzo; Crupi, Felice; Münzenrieder, Niko; Catania, Federica (2024). 15–18.
• A guide for structured literature reviews in business research: The state-of-the-art and how to integrate generative artificial intelligence. Tingelhoff, Fabian; Brugger, Micha; Leimeister, Jan Marco (2024). 1–23.

  Generative arti cial intelligence (Gen.AI) is capable of signi cantly improving the breadth and depth of structured literature reviews (SLRs). However, its inclusion raises essential questions regarding the review’s methodology, quality, and ethical implications. Previous research predominantly focused on the capabilities and limitations of Gen.AI to establish guidelines for research practices. However, the rapid evolution of Gen.AI often outpaces the publication of methodological papers. In response, our study adopts a criteria-centric approach, scrutinizing the scienti c quality standards that Gen.AI must meet. In other words, instead of discussing what Gen.AI can and cannot do, we discuss what we should allow Gen.AI to do, irrespective of its capabilities. Our study informs researchers in the art and science of SLRs. First, we analyze the established state-of-the-art processes and associated quality standards in SLRs. From this, we synthesize a uni ed process and criterion set, not only underpinning a comprehensive understanding of the extant SLR methodologies but also serving as the foundational framework for integrating Gen.AI. Second, we delineate the specific scenarios conducive to incorporating Gen.AI into this fundamental framework, as well as situations where its integration may not be suitable. Our contribution is further solidi ed by providing a detailed, step-by-step guide—akin to a“cooking recipe”—to effectively integrate Gen.AI in SLRs, ensuring adherence to established quality criteria.
• Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays. Anderson, Pamela G.; Tarder-Stoll, Hannah; Alpaslan, Mehmet; Keathley, Nora; Levin, David L.; Venkatesh, Srivas; Bartel, Elliot; Sicular, Serge; Howell, Scott; Lindsey, Robert V.; Jones, Rebecca M. (2024). 14(1) 25151.

  Chest X-rays are the most commonly performed medical imaging exam, yet they are often misinterpreted by physicians. Here, we present an FDA-cleared, artificial intelligence (AI) system which uses a deep learning algorithm to assist physicians in the comprehensive detection and localization of abnormalities on chest X-rays. We trained and tested the AI system on a large dataset, assessed generalizability on publicly available data, and evaluated radiologist and non-radiologist physician accuracy when unaided and aided by the AI system. The AI system accurately detected chest X-ray abnormalities (AUC: 0.976, 95\% bootstrap CI: 0.975, 0.976) and generalized to a publicly available dataset (AUC: 0.975, 95\% bootstrap CI: 0.971, 0.978). Physicians showed significant improvements in detecting abnormalities on chest X-rays when aided by the AI system compared to when unaided (difference in AUC: 0.101, p\thinspace<\thinspace0.001). Non-radiologist physicians detected abnormalities on chest X-ray exams as accurately as radiologists when aided by the AI system and were faster at evaluating chest X-rays when aided compared to unaided. Together, these results show that the AI system is accurate and reduces physician errors in chest X-ray evaluation, which highlights the potential of AI systems to improve access to fast, high-quality radiograph interpretation.
• Sensitivity Analysis of Point-particle Models for Aluminum Particle Combustion. Chu, H.; Bose, S.; Mobarakeh, M.; Farmand, P.; Kholghy, R.; Pitsch, H. (2024).
• HTEKG: A Human-Trait-Enhanced Literary Knowledge Graph with Language Model Evaluation. Kalathil, Sreejith; Li, Tian; Dong, Hang; Liang, Huizhi (2024). 207–215.
• Evaluating the Benefits of Model Retraining for Self-Aware Vehicle Traffic Forecasting. Hadry, Marius; Grillmeyer, Daniel; Becker, Martin; König, Maximilian; Lesch, Veronika; Kounev, Samuel (2024). 41–50.
• Gravitational-Wave Signatures of Nonstandard Neutrino Properties in Collapsing Stellar Cores. Ehring, Jakob; Abbar, Sajad; Janka, H. Thomas; Raffelt, Georg; Nakamura, Ko; Kotake, Kei (2024).
• Family Tree Maker 2019 Sale familytreemakersupport.us (2024).
• Evaluating the Benefits of Model Retraining for Self-Aware Vehicle Traffic Forecasting. Hadry, Marius; Grillmeyer, Daniel; Becker, Martin; König, Maximilian; Lesch, Veronika; Kounev, Samuel (2024). 41–50.
• Evaluating the Benefits of Model Retraining for Self-Aware Vehicle Traffic Forecasting. Hadry, Marius; Grillmeyer, Daniel; Becker, Martin; König, Maximilian; Lesch, Veronika; Kounev, Samuel (2024). 41–50.
• Evaluating the Benefits of Model Retraining for Self-Aware Vehicle Traffic Forecasting. Hadry, Marius; Grillmeyer, Daniel; Becker, Martin; König, Maximilian; Lesch, Veronika; Kounev, Samuel (2024). 41–50.
• Evaluating the Benefits of Model Retraining for Self-Aware Vehicle Traffic Forecasting. Hadry, Marius; Grillmeyer, Daniel; Becker, Martin; König, Maximilian; Lesch, Veronika; Kounev, Samuel (2024). 41–50.
• Evaluating the Benefits of Model Retraining for Self-Aware Vehicle Traffic Forecasting. Hadry, Marius; Grillmeyer, Daniel; Becker, Martin; König, Maximilian; Lesch, Veronika; Kounev, Samuel (2024). 41–50.
• Identification of phosphatases that dephosphorylate the co-chaperone BAG3. Kokot, Thomas; Zimmermann, Johannes P; Chand, Yamini; Krier, Fabrice; Reimann, Lena; Scheinost, Laura; Höfflin, Nico; Esch, Alessandra; Höhfeld, Jörg; Warscheid, Bettina; Köhn, Maja (2024). 8(2) e202402734.
• <i>Cataglyphis</i> ants have a polarity-sensitive magnetic compass. Grob, Robin; Wegmann, Johanna W.; Rössler, Wolfgang; Fleischmann, Pauline N. (2024). 34 1–6.

  Spatial orientation based on the geomagnetic field (GMF) is a widespread phenomenon in the animal kingdom, predominantly observed in long-distance migrating birds, sea turtles, lobsters, and Lepidoptera. Although magnetoreception has been studied intensively, the mechanism remains elusive. A crucial question for a mechanistic understanding of magnetoreception is whether animals rely on inclination or po- larity-based magnetic information. Inclination-based magnetic orientation utilizes the angle between the magnetic field lines and gravity, indicating poleward and equatorward. In contrast, polarity-based magnetic orientation allows animals to detect the polarity of the GMF, the north and south direction of the field vector. Cataglyphis desert ants are excellent experimental models for testing whether magnetic inclination or polarity of the magnetic field is used for navigation. Desert ants are solitary foragers with exceptional navigational skills. When the ants leave their underground nest for the first time to become foragers, they perform learning walks for up to three days to learn the visual panorama and calibrate their compass systems. The ants repeatedly stop their forward movement during learning walks for performing turns (pirouettes), interrupted by stopping phases. Gaze directions during the longest stopping phases are directed toward the nest entrance. We experimentally manipulated look-back behavior systematically by altering polarity or inclination of the GMF. We demonstrate that Cataglyphis ants, contrary to most other insects studied, possess a polarity-sensitive magnetic compass, making them ideal experimental models for narrowing down the evidence for particle-based mechanisms underlying magnetosensation in this insect.
• Outstanding Framework for Simulating and Generating Anchor Trajectory in Wireless Sensor Networks. Naguib, Abdelhady A. Naguib (ed.) (2024). (Vol. 16) 21–39.

  This paper proposes a framework that has the ability to animate and generate different scenarios for the mobility of a movable anchor which can follow various paths in wireless sensor networks (WSNs). When the researchers use NS-2 to simulate a single anchor-assisted localization model, they face the problem of creating the movement file of the movable anchor. The proposed framework solved this problem by allowing them to create the movement scenario regarding different trajectories. The proposed framework lets the researcher set the needed parameters for simulating various static path models, which can be displayed through the graphical user interface. The researcher can also view the mobility of the movable anchor with control of its speed and communication range. The proposed framework has been validated by comparing its results to NS-2 outputs plus comparing it against existing tools. Finally, this framework has been published on the Code Project website and downloaded by many users
• Digital and Ecological Transformation in Companies: Challenges and potential in interaction. Hoose, Fabian; Prinz, Christopher; Wannöffel, Manfred; Kuhlenkötter, Bernd (2024). 40(5) 34–42.

  Although the concept of double transformation is being intensely discussed in companies, the practical implementation in operational structures often remains unclear. This article sheds light on how digital technologies and environmental sustainability strategies can be developed either synergistically, antagonistically or independently of each other. In addition, it discusses the different experiences of employees in different industries and the varying progress in the introduction of digital and ecological measures. To this end, it will discuss existing research findings and practical examples that pave the way for the successful integration of both transformation processes in companies.
• Towards the development of an automated robotic storyteller: comparing approaches for emotional story annotation for non-verbal expression via body language. Steinhaeusser, Sophia C; Zehe, Albin; Schnetter, Peggy; Hotho, Andreas; Lugrin, Birgit (2024). 1–23.
• The Platformization of Media Structures as a Critical Juncture: A Pragmatist Perspective on Value Mediation by Journalistic Start-ups and Established Publishers. Uhlmann, Markus; Kropf, Jonathan; Horn, Viktoria; Draude, Claude; Lamla, Jörn (2024). 39(2) 36–47.

  The field of digital journalism is facing multifaceted crises posed by the phenomenon of platformization. We interpret this platformization as a critical juncture and investigate how different actors address the associated challenges, focusing on processes of value mediation. To do so, we compare two German journalism start-ups and a mainstream publisher. Our study introduces a pragmatistic theoretical framework using three approaches of cooperative value mediation (or “co-valuation”) – pricing, design, and cultivation – as an analytical as well as normative tool. On the one hand, results show that niche players exhibit a tendency for autonomy from prevailing structural conditions, underlined by a collective “value commitment”, although the strategies for mediating values can differ significantly. On the other hand, established players perceive themselves as subject to deterministic influences, hindering the cultivation of enduring value loyalties. The analysis thus also highlights the role of the sociotechnical ecosystem in shaping value mediation, emphasizing the utility of the co-valuation approaches.
• Modern Time Series Forecasting with Python : Industry-Ready Machine Learning and Deep Learning Time Series Analysis with PyTorch and pandas Joseph, Manu; Tackes, Jeffrey (2024). Packt, Birmingham.

  Predicting the future, whether it's market trends, energy demand, or website traffic, has never been more crucial. This practical, hands-on guide empowers you to build and deploy powerful time series forecasting models. Whether you’re working with traditional statistical methods or cutting-edge deep learning architectures, this book provides structured learning and best practices for both. Starting with the basics, this data science book introduces fundamental time series concepts, such as ARIMA and exponential smoothing, before gradually progressing to advanced topics, such as machine learning for time series, deep neural networks, and transformers. As part of your fundamentals training, you’ll learn preprocessing, feature engineering, and model evaluation. As you progress, you’ll also explore global forecasting models, ensemble methods, and probabilistic forecasting techniques. This new edition goes deeper into transformer architectures and probabilistic forecasting, including new content on the latest time series models, conformal prediction, and hierarchical forecasting. Whether you seek advanced deep learning insights or specialized architecture implementations, this edition provides practical strategies and new content to elevate your forecasting skills.
• KINETIC CITIES: VIABILITY OF ADAPTABLE PNP CONTAINER MODULES FOR SMART LIVING. Spencer, Constance (2024). 11(1) 15–25.
• A study of the Behavior of Floating-Point Errors. Damouche, Nasrine (2024). 14(1)

  The dangers of programs performing floating-point computations are well known. This is due to numerical reliability issues resulting from rounding errors arising during the computations. In general, these round-off errors are neglected because they are small. However, they can be accumulated and propagated and lead to faulty execution and failures. Typically, in critical embedded systems scenario, these faults may cause dramatic damages (eg. failures of Ariane 5 launch and Patriot Rocket mission). The ufp (unit in the first place) and ulp (unit in the last place) functions are used to estimate maximum value of round-off errors. In this paper, the idea consists in studying the behavior of round-off errors, checking their numerical stability using a set of constraints and ensuring that the computation results of round-off errors do not become larger when solving constraints about the ufp and ulp values.
• The Platformization of Media Structures as a Critical Juncture: A Pragmatist Perspective on Value Mediation by Journalistic Start-ups and Established Publishers. Uhlmann, Markus; Kropf, Jonathan; Horn, Viktoria; Draude, Claude; Lamla, Jörn (2024). 39(2) 36–47.

  The field of digital journalism is facing multifaceted crises posed by the phenomenon of platformization. We interpret this platformization as a critical juncture and investigate how different actors address the associated challenges, focusing on processes of value mediation. To do so, we compare two German journalism start-ups and a mainstream publisher. Our study introduces a pragmatistic theoretical framework using three approaches of cooperative value mediation (or “co-valuation”) – pricing, design, and cultivation – as an analytical as well as normative tool. On the one hand, results show that niche players exhibit a tendency for autonomy from prevailing structural conditions, underlined by a collective “value commitment”, although the strategies for mediating values can differ significantly. On the other hand, established players perceive themselves as subject to deterministic influences, hindering the cultivation of enduring value loyalties. The analysis thus also highlights the role of the sociotechnical ecosystem in shaping value mediation, emphasizing the utility of the co-valuation approaches.
• The Platformization of Media Structures as a Critical Juncture: A Pragmatist Perspective on Value Mediation by Journalistic Start-ups and Established Publishers. Uhlmann, Markus; Kropf, Jonathan; Horn, Viktoria; Draude, Claude; Lamla, Jörn (2024). 39(2) 36–47.

  The field of digital journalism is facing multifaceted crises posed by the phenomenon of platformization. We interpret this platformization as a critical juncture and investigate how different actors address the associated challenges, focusing on processes of value mediation. To do so, we compare two German journalism start-ups and a mainstream publisher. Our study introduces a pragmatistic theoretical framework using three approaches of cooperative value mediation (or “co-valuation”) – pricing, design, and cultivation – as an analytical as well as normative tool. On the one hand, results show that niche players exhibit a tendency for autonomy from prevailing structural conditions, underlined by a collective “value commitment”, although the strategies for mediating values can differ significantly. On the other hand, established players perceive themselves as subject to deterministic influences, hindering the cultivation of enduring value loyalties. The analysis thus also highlights the role of the sociotechnical ecosystem in shaping value mediation, emphasizing the utility of the co-valuation approaches.
• Temperature in overwintering honey bee colonies reveals brood status and predicts colony mortality. Minaud, Etienne; Rebaudo, François; Mainardi, Giulia; Vardakas, Philippos; Hatjina, Fani; Steffan-Dewenter, Ingolf; Requier, Fabrice (2024). 169 112961.
• Combined 2D-and 3D ERT monitoring as a geophysical tool for investigating spatial and temporal soil moisture fluctuations in a pine-beech forest. Fäth, Julian; Kneisel, Christof (2024). 16 100555.
• Empirical Analysis and Inspiration of Chinese Women’s University Curling Team’s On-the-spot Competitive Performance. Yu, Zuojun; Niu, Zhipe; Lei, Yi (2024). 47(6) 133–143.

  This study aims to enliance the competitive strength of Chinese curling athletes and the scientific level of preparation and participation in competitions. By adopting methods such as literature review, field observation, expert interviews, and mathematical statistics, it analyzes the process of preparation and the on-the-spot competitive performance of the Chinese women's curling team before and during the 31" Winter Universiade and explores the championship-winning strategies and participation plans. The research results showed that the average age of Chinese women curlers ranked top 5 and the per capita pailicipation of WCF events of each curler ranked top 4 of all participating teams. There was a significant difference in losing points ( P= 0.034), but no significan difference was observed in scoring points ( P= 0.064) . There were significant differences in the efficiency of the hammer offense between the victories and defeats (P=0.022 ) in the curling round-robin and between the victories in the round-robin and the playoffs ( P= 0.022). There was a significant difference in the success rate of the first throw between the victories and defeats in the round-robin (P-0.026). Conclusion: The Chinese women's curling team boasts rich competition experience and a reasonable age structure, but the strategy system is not mature enough. They demonstrate stable scoring abilities, strong defense against losing points, but limited ability to score big points. The hammer offense and defense are weak, while the first offense and defense are excellent ; the success rate of the first throw directly determines the degree of control over the game. The research proposes that it is necessary to accurately collect competitive information to scientilically control the preparation and participation in the competition, to set appropriate participation goals to correctly guide the preparation and participation behavior. to scientifically design pre-competition training to achieve the optimization and integration of competitive abilily. to analyze on-the- spot data in real time to achieve scientific decision-making of on-the-spot guidance, and to effectively stimulate team motivation to achieve the coordination and optimization of the interaction process, so as to help the Chinese women curling team to better demonstrate training results and achieve ideal competitive performance
• Bodenwasserhaushalt von Waldstandorten in Nordbayern. Fäth, Julian; Kneisel, Christof (2023). 113(5) 62–63.
• Rapid beech decline under recurrent drought stress: Individual neighborhood structure and soil properties matter. Schmied, Gerhard; Pretzsch, Hans; Ambs, Dominik; Uhl, Enno; Schmucker, Julia; Fäth, Julian; Biber, Peter; Hoffmann, Yves-Daniel; Šeho, Muhidin; Mellert, Karl Heinz (2023). 545 121305-.
• „False Promises“ der Künstlichen Intelligenz. Technical Report (218), Hirsch-Kreinsen, Hartmut; Krokowski, Thorben (2023).

  Die Entwicklungsdynamik jeder neuen Technologie und im Speziellen der Künstlichen Intelligenz ist zumeist mit Versprechungen über ihre besondere Leistungsfähigkeit und völlig neue Anwendungsmöglichkeiten verbunden. Vor diesem Hintergrund zielt die Fragestellung des Beitrags darauf ab, zu ergründen, welche Besonderheiten das Technologieversprechen der KI aufweist. Es wird gefragt, woher die offensichtliche und scheinbar unwiderstehliche Überzeugungskraft, aber auch die Faszination und die Ängste der Öffentlichkeit gegenüber dieser Technologie kommen, gerade auch aktuell im Hinblick auf neue Sprachsysteme wie Chat-GPT. Die These ist, dass das Technologieversprechen eine sehr unpräzise Rhetorik aufweist. Sie erscheint einfach, klar und überzeugend, ist grundsätzlich nur schwer bestreitbar und eröffnet vielfältige Anschlussmöglichkeiten. Um dies zu erreichen, basiert sie auf einer unscharfen begrifflichen Metaphorik, sehr unspezifischen Einschätzungen, impliziten Fehlannahmen und übergeht grundlegende Anwendungs- und Funktionsprobleme der KI. Insofern kann auch von den „False Promises“ (Noam Chomsky) der KI im Allgemeinen und der neuen, KI-basierten Sprachsysteme im Speziellen gesprochen werden. Gleichwohl wird ferner angenommen, dass das Technologieversprechen der KI seine dauerhafte Überzeugungskraft letztlich nicht aus der zuvor genannten Opazität und fehlenden Substantialität speist, sondern aus dem alten Mythos der intelligenten Maschine zieht, die der menschlichen Intelligenz ebenbürtig, wenn nicht gar überlegen sei.
• Incorporating a Web-Based System to Implement Services and Recommendation System for International Students in Northeastern University (NEU). Mbowoh, Kometa Denis (K. D. Mbowoh, ed.) (2023). 13(1/2/3) 11.

  China has become a major study destination for many international students who come to study in many higher institutions at different levels. NEU is one of these higher institutions and as a result seeks to make life comfortable for the international students who come to study there. It is in this vein that this system has been designed with the objective of enabling any new foreign student arriving NEU to acquaint themselves with the new environment and integrate it in less than no time thereby overcoming the fear of the new environment which grips everynewcomer. Key technologies, tools such as Spring MVC/Security, JSF Prime Faces, etc. were carefully chosen for the development of the project. The system development followed the system development life cycle, specifically using the agile methodology. Testing proved that the proposed system is a very responsive and could run well on most browsers.
• SimpleNet: A Simple Network for Image Anomaly Detection and Localization. Liu, Zhikang; Zhou, Yiming; Xu, Yuansheng; Wang, Zilei (2023). 20402–20411.
• Das Technik-Board des FID-Netzwerks zwischen fachlicher Spezifik und technisch-organisatorischer Zusammenarbeit – Möglichkeiten und Grenzen. Altenhöner, Reinhard; Meyer, Thorsten; Risse, Thomas (2023). 70(4) 200–207.
• Revisiting Reverse Distillation for Anomaly Detection. Tien, Tran Dinh; Nguyen, Anh Tuan; Tran, Nguyen Hoang; Huy, Ta Duc; Duong, Soan T.M.; Nguyen, Chanh D. Tr.; Truong, Steven Q. H. (2023). 24511–24520.
• Monitoring spatiotemporal soil moisture changes in the subsurface of forest sites using electrical resistivity tomography (ERT). Fäth, Julian; Kunz, Julius; Kneisel, Christof (2022). 33(5) 1649–1662.
• CFA: Coupled-Hypersphere-Based Feature Adaptation for Target-Oriented Anomaly Localization. Lee, Sungwook; Lee, Seunghyun; Song, Byung Cheol (2022). 10 78446–78454.
• Anomaly Detection via Reverse Distillation from One-Class Embedding. Deng, Hanqiu; Li, Xingyu (2022). 9727–9736.
• Turnover shapes evolution of birth and death rates. Kuosmanen, Teemu; Särkkä, Simo; Mustonen, Ville (2022).

  Population turnover, a key trait shaped by the organismtextquoterights life history strategy, plays an important role in eco-evolutionary dynamics by fixing the timescale for individual birth and death events as well as in determining the level of demographic stochasticity related to growth. Yet, the standard theory of population genetics, and the models heavily used in the related data analysis, have largely ignored the role of turnover. Here we propose a reformulation of population genetics starting from the first principles of birth and death and show that the role of turnover is evolutionarily important. We derive a general stochastic differential equation for the frequency dynamics of competing birth-death processes and determine the appropriate turnover corrections for the essential results regarding fixation, establishment, and substitution of mutants. Our results reveal how both the absolute and relative turnover rates influence evolution. We further describe a deterministic turnover selection, the turnover flux, which operates in small populations. Finally, we analyse the evolution of mean turnover and show how it explains the key eco-evolutionary mechanisms underlying demographic transitions. In conclusion, our results explicitly show how competing life-history strategies, demographic stochasticity, ecological feedback, and evolution are inseparably intertwined, thus calling for a unified theory development starting from the underlying mechanisms of birth and death.Competing Interest StatementThe authors have declared no competing interest.
• Squirrelling: Human–Animal Studies in the Northern-European Region Björck, Amelie; Lindén, Claudia; Lönngren, Ann-Sofie in Södertörn Academic Studies (2022). (Vol. 89) Södertörns högskola.

  This collection maps out the current state of the field of literary and cultural animal studies in Northern Europe. With contributors from Denmark, Finland, Iceland, Norway, Poland, and Sweden, the work spans a wide variety of issues regarding human and non-human life in relation to different kinds of cultural expression, while others are more general in character. Above all others, one urgent and overarching question is addressed: How can we challenge the current anthropocentric paradigm in ways that benefit the production of less violent, more ethically sound and sustainable knowledge regarding the relationship between human and non-human life? Ratatϙskr, in Norse mythology, is a squirrel that scurries up and down Yggdrasil (the tree of life), carrying messages between the dragon at its roots and the eagle at its top. Being a representation of a ‘real’ animal species, but also a part of the mythology organizing the human world, Ratatϙskr is ideally situated for literary and cultural animal studies. Apart from directing the scope of interest towards Northern Europe, this figure reminds us that the “squirrelling” and storage of productive and just knowledge about all forms of life is an important undertaking if there is to be a future for any of them.
• Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection. Zhou, Yibo (2022). 7369–7377.
• AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise. Wyatt, Julian; Leach, Adam; Schmon, Sebastian M.; Willcocks, Chris G. (2022). 649–655.
• Reconstruction by inpainting for visual anomaly detection. Zavrtanik, Vitjan; Kristan, Matej; Skočaj, Danijel (2021). 112 107706.

  Visual anomaly detection addresses the problem of classification or localization of regions in an image that deviate from their normal appearance. A popular approach trains an auto-encoder on anomaly-free images and performs anomaly detection by calculating the difference between the input and the reconstructed image. This approach assumes that the auto-encoder will be unable to accurately reconstruct anomalous regions. But in practice neural networks generalize well even to anomalies and reconstruct them sufficiently well, thus reducing the detection capabilities. Accurate reconstruction is far less likely if the anomaly pixels were not visible to the auto-encoder. We thus cast anomaly detection as a self-supervised reconstruction-by-inpainting problem. Our approach (RIAD) randomly removes partial image regions and reconstructs the image from partial inpaintings, thus addressing the drawbacks of auto-enocoding methods. RIAD is extensively evaluated on several benchmarks and sets a new state-of-the art on a recent highly challenging anomaly detection benchmark.
• CutPaste: Self-Supervised Learning for Anomaly Detection and Localization. Li, Chun-Liang; Sohn, Kihyuk; Yoon, Jinsung; Pfister, Tomas (2021). 9659–9669.
• Gel propellants. Padwal, Manisha B.; Natan, Benveniste; Mishra, D.P. (2021). 83 100885.
• DRÆM – A discriminatively trained reconstruction embedding for surface anomaly detection. Zavrtanik, Vitjan; Kristan, Matej; Skočaj, Danijel (2021). 8310–8319.
• Explainable Deep One-Class Classification. Liznerski, Philipp; Ruff, Lukas; Vandermeulen, Robert A.; Franks, Billy Joe; Kloft, Marius; Muller, Klaus Robert (2021).
• 最短コースでわかる PyTorch ＆深層学習プログラミング 赤石雅典 (2021). 日経BP.
• Denoising Diffusion Probabilistic Models. Ho, Jonathan; Jain, Ajay; Abbeel, Pieter H. Larochelle, M. Ranzato, R. Hadsell, M. Balcan, H. Lin (eds.) (2020). (Vol. 33) 6840–6851.
• A Novel Remote Access Control for the Real-time Streaming Data of IP Cameras. Sue, Kuen-Liang (2020). 12(2) 1–16.

  The massive consumer often has security concerns about Internet transmissions, and the remote access of the IP Camera is also full of challenges from the consumer market for privacy and security. In this context, when the user account of the security monitoring system is maliciously used, the security protection mechanism provided by the IP Camera itself is one of the topics most concerned to consumers. In order to improve the security of the remote connection of IP Camera, based on SIP protocol and practical experience, this study designs a set of feasible processes for the management of public key, which will help consumers protect their privacy rights in using the security monitoring system and the security when remotely operating the IP Camera. Finally, the experiment results prove that it will not impact the users’ experience when accessing the IP Camera remotely.
• Focal Loss for Dense Object Detection. Lin, Tsung-Yi; Goyal, Priya; Girshick, Ross; He, Kaiming; Dollár, Piotr (2020). 42(2) 318–327.
• Schwefel–vom Überschuss zum Mangel. Göttlein, Axel; Fäth, J; Rau, M; Mellert, KH (2020). (9) 31–33.
• Assessing phosphorus nutrition of the main European tree species by simple soil extraction methods. Fäth, Julian; Kohlpaintner, Michael; Blum, Uwe; Göttlein, Axel; Mellert, Karl H (2019). 432 895–901.
• Bayesian Analysis of Time Series Broemeling, Lyle D. (2019). (First ) Chapman & Hall/CRC, Boca Raton, Florida.
• MVTec AD — A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection. Bergmann, Paul; Fauser, Michael; Sattlegger, David; Steger, Carsten (2019). 9584–9592.
• Mit der Biomasse verschwindet auch der Phosphor. Fäth, Julian; Weis, Wendelin; Mellert, Karl-Heinz; Kohlpaintner, Michael; Manghabati, Hadi; Ettl, Rasmus; Göttlein, Axel (2019). 3
• Assessing the leaching behavior of different gunshot materials in natural spring waters. Fäth, Julian; Göttlein, Axel (2019). 31 1–10.
• Citric acid extraction—An underestimated method in forest nutrition?. Fäth, Julian; Mellert, Karl; Blum, Uwe; Göttlein, Axel (2019). 182(5) 691–693.
• The ecological base amplitude of tree species in Germany. Mellert, KH; Fäth, J; Falk, W; Wellbrock, N; Göttlein, A (2019). 190 184–204.
• EDGE DETECTION ALGORITHM FOR YORUBA CHARACTER RECOGNITION. S.A, Yekeen; T.S, Ibiyemi (2018). 5(1) 1–9.

  Digital image processing for pattern recognition involves several processing and pre-processing steps. Edge detection stands a great position for accurate pattern recognition most especially in character recognition system. Many edge detection techniques were implemented with convolution mask and based on approximations to differential operators. For efficient Yoruba character recognition, compass edge detection algorithm was developed to enhance the recognition rate of Yoruba character. The algorithm developed achieved 0.923 edge detection error rate. The level of accuracy will have been better if noise removal or reduction steps were included in the algorithm.
• Deep Anomaly Detection with Outlier Exposure. Hendrycks, Dan; Mazeika, Mantas; Dietterich, Thomas G. (2018). abs/1812.04606
• Leaching behavior and ecotoxicological effects of different game shot materials in freshwater. Fäth, Julian; Feiner, Mona; Beggel, Sebastian; Geist, Jürgen; Göttlein, Axel (2018). 419(24)
• Comparative investigation of the metal leaching from conventional and alternative game shot in a percolation experiment. Fäth, J; Göttlein, A (2017). 188 222–232.
• DESIGNING DIGITAL COMPREHENSIVE SYSTEM TO TEST AND ASSESS THE INTELLIGENTLY BEHAVIORS OF FROM 6 TO 12 YEARS OLD CHILDREN BASED ON THE WECHSLER INTELLIGENCE THEORY. Rahmani, Yaser in IFIP Advances in Information and Communication Technology, P. Forbrig, F. Paternò, A. M. Pejtersen (eds.) (2016). (Vol. 1) 15–25.
• Malmo: A city in transition. Anderson, Tessa (2014). 39 10–20.
• MODIFIED ALPHA-ROOTING COLOR IMAGE ENHANCEMENT METHOD ON THE TWO-SIDE 2-DQUATERNION DISCRETE FOURIER TRANSFORM AND THE 2-DDISCRETE FOURIER TRANSFORM. "Artyom M. Grigoryan, Aparna John (2013). 4(1/2) 1–16.

  This study evaluated the effects of acute administration of aqueous extract of Garcinia kola on daily blood glucose level and selected biochemical indices in wistar albino Rats in connection with human health. The serum liver enzymes ALT and ALP increased significantly (p<0.05) in the test animals in groups two and three, while AST also increased, though not significantly (p<0.05). ALT increased from 35.38 ± 1.35 U/L in control group (group one) to 47.25 ± 1.71 U/L in group three, while AST and ALP increased from 36.75 ± 2.50 U/L to 38.25 ± 4.79 U/L and 27.46 ± 4.57 U/L to 40.14 ± 7.26 U/L respectively. Blood glucose level decreased on daily basis after administration of aqueous extract of Garcinia kola. The results showed that daily consumption of Garcinia kola induced hypoglycaemic effect and hepatic damage in Wistar albino rats as observed in groups two and three. This invariably implies that the longevity of human beings is guaranteed if adequately consumed and life expectancy in Nigeria positively influenced.
• Forecasting with Bayesian Vector Autoregression. Karlsson, Sune G. Elliott, A. Timmermann (eds.) (2013). (Vol. 2) 791–897.

  This chapter reviews Bayesian methods for inference and forecasting with VAR models. Bayesian inference and, by extension, forecasting depends on numerical methods for simulating from the posterior distribution of the parameters and special attention is given to the implementation of the simulation algorithm.
• Functional Estimation for Density, Regression Models and Processes Pons, Odile (2011). World Scientific, Hackensack, New Jersey.
• Characterization of Flow and Spray Behavior of Gelled Fuels with Regard to Air Blast and Impinging Jet Atomizers. Ciezki, Helmut K.; Robers, Ansgar; Schneider, Günter (2002).
• Bayesian Inference in Dynamic Econometric Models Bauwens, Luc; Lubrano, Michel; Richard, Jean-Francois in Advanced Texts in Econometrics (2000). Oxford University Press.

  This book contains an up-to-date coverage of the last twenty years advances in Bayesian inference in econometrics, with an emphasis on dynamic models. It shows how to treat Bayesian inference in non linear models, by integrating the useful developments of numerical integration techniques based on simulations (such as Markov Chain Monte Carlo methods), and the long available analytical results of Bayesian inference for linear regression models. It thus covers a broad range of rather recent models for economic time series, such as non linear models, autoregressive conditional heteroskedastic regressions, and cointegrated vector autoregressive models. It contains also an extensive chapter on unit root inference from the Bayesian viewpoint. Several examples illustrate the methods.
• Bayesian Methods. An Analysis for Statisticians and and Interdisciplinary Researchers Leonard, Thomas; Hsu, John S. J. in Cambridge Series in Statistical and Probabilistic Mathematics (1999). (Vol. 5) Cambridge University Press.
• Bayesian Forecasting and Dynamic Models West, Mike; Harrison, Jeff in Springer Series in Statistics (1997). (Second ) Springer, New York.
• Bayesian long-run prediction in time series models. Koop, Gary; Osiewalski, Jacek; Steel, Mark F.J (1995). 69(1) 61–80.

  This paper considers Bayesian long-run prediction in time series models. We allow time series to exhibit stationary or nonstationary behavior and show how differences between prior structures which have little effect on posterior inferences can have a large effect in a prediction exercise. In particular, the Jeffreys prior given in Phillips (1991) is seen to prevent the existence of one-period-ahead predictive moments. In a more general context, a Bayesian counterpart is provided to Sampson (1991) who takes parameter uncertainty into account in a classical framework. An empirical example illustrates our results.
• Applied Bayesian Forecasting and Time Series Analysis Pole, Andy; West, Mike; Harrison, Jeff in Chapman & Hall/CRC Texts in Statistical Science Series (1994). Chapman & Hall/CRC, New York.

  Practical in its approach, Applied Bayesian Forecasting and Time Series Analysis provides the theories, methods, and tools necessary for forecasting and the analysis of time series. The authors unify the concepts, model forms, and modeling requirements within the framework of the dynamic linear mode (DLM). They include a complete theoretical development of the DLM and illustrate each step with analysis of time series data. Using real data sets the authors: Explore diverse aspects of time series, including how to identify, structure, explain observed behavior, model structures and behaviors, and interpret analyses to make informed forecasts Illustrate concepts such as component decomposition, fundamental model forms including trends and cycles, and practical modeling requirements for routine change and unusual events Conduct all analyses in the BATS computer programs, furnishing online that program and the more than 50 data sets used in the text The result is a clear presentation of the Bayesian paradigm: quantified subjective judgements derived from selected models applied to time series observations. Accessible to undergraduates, this unique volume also offers complete guidelines valuable to researchers, practitioners, and advanced students in statistics, operations research, and engineering.
• Process Technologies for Water Treatment Stucki, Samuel (1988). Plenum Press, New York.
• The chemistry of ozone in water. Hoigné, J. S. Stucki (ed.) (1988). 121–141.

  From lists of published rate constants for the direct reactions of aqueous ozone with substrates we can conclude: if, for example, 0.5 mg/l ozone is present, the following types of compounds react within less than 10 seconds: sulfite, nitrite, olefinic aliphatic hydrocarbons, phenols, polyaromatic hydrocarbons, organic amines and sulfides. Much slower to react are some chlorosubstituted olefins (chlorinated solvents). Benzene, saturated hydrocarbons, or tetrachloroethylene require days to be significantly oxidized by molecular ozone. In bromide-containing waters (seawater, brackish waters, pool waters), the bromide is the primary reactant with ozone. It is oxidized to hypobromite or even bromate, and can destroy part of the ozone in a catalytic chain process. The hypobromite can produce bromoform. Some of the aqueous ozone always decomposes. This decomposition is often initiated by increased pH (OH--ions) and accelerated by many types of organic compounds which may act as promoters of a radical type chain reaction. This chain reaction is, however, somewhat inhibited by carbonate. Therefore, the half-life of ozone varies according to the type of water treated. For example, in typical drinking water it can be anything from 1 to 20 minutes. Ozone decomposition leads to the formation of the OR• radical. This is so reactive that, in drinking water, most of it is consumed by humics and other dissolved organic materials. The OR• radical can even be reduced by carbonate and bicarbonate ions. But a fraction of this oxidant is still available to oxidize a specific micropollutant, even when this is present in relatively low concentrations. Based on known kinetic constants, all these effects are easily predictable. UV-irradiation of aqueous ozone produces primarily hydrogen peroxide which, under certain circumstances, may initiate decomposition of additional ozone to OH• radicals. The chemical effects of ozonation processes must also be considered with respect to combined processes, where ozonation is, e.g. followed by treatment with chlorine or microbiological treatment steps, or even by membrane filtration in the case of industrial waste water treatment.
• A New Class of Continued Fraction Expansions for the Ratios of Hypergeometric Functions. Frank, Evelyn (1956). 81(2) 453–476.