cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Surge Routing: Event-informed Multiagent Reinforcement Learning for Autonomous Rideshare
Creators: name: Garces, Daniel
name: Gil, Stephanie
Publisher: name: arXiv
Year: 2023
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Multiagent Systems (cs.MA)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Large events such as conferences, concerts and sports games, often cause surges in demand for ride services that are not captured in average demand patterns, posing unique challenges for routing algorithms. We propose a learning framework for an autonomous fleet of taxis that leverages event data from the internet to predict demand surges and generate cooperative routing policies. We achieve this through a combination of two major components: (i) a demand prediction framework that uses textual event information in the form of events' descriptions and reviews to predict event-driven demand surges over street intersections, and (ii) a scalable multiagent reinforcement learning framework that leverages demand predictions and uses one-agent-at-a-time rollout combined with limited sampling certainty equivalence to learn intersection-level routing policies. For our experimental results we consider real NYC ride share data for the year 2022 and information for more than 2000 events across 300 unique venues in Manhattan. We test our approach with a fleet of 100 taxis on a map with 2235 street intersections. Our experimental results demonstrate that our method learns routing policies that reduce wait time overhead per serviced request by 25% to 75%, while picking up 1% to 4% more requests than other model-based RL frameworks and classical methods in operations research.
description: 10 pages, 7 figures, 4 tables, 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024)
STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map
Creators: name: Sherif, Ammar
name: Abid, Abubakar
name: Elattar, Mustafa
name: ElHelw, Mohamed
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Multi-Task Learning (MTL) is a powerful technique that has gained popularity due to its performance improvement over traditional Single-Task Learning (STL). However, MTL is often challenging because there is an exponential number of possible task groupings, which can make it difficult to choose the best one because some groupings might produce performance degradation due to negative interference between tasks. That is why existing solutions are severely suffering from scalability issues, limiting any practical application. In our paper, we propose a new data-driven method that addresses these challenges and provides a scalable and modular solution for classification task grouping based on a re-proposed data-driven features, Data Maps, which capture the training dynamics for each classification task during the MTL training. Through a theoretical comparison with other techniques, we manage to show that our approach has the superior scalability. Our experiments show a better performance and verify the method's effectiveness, even on an unprecedented number of tasks (up to 100 tasks on CIFAR100). Being the first to work on such number of tasks, our comparisons on the resulting grouping shows similar grouping to the mentioned in the dataset, CIFAR100. Finally, we provide a modular implementation for easier integration and testing, with examples from multiple datasets and tasks.
description: Accepted to DMLR workshop @ ICML 23
CR compactification for asymptotically locally complex hyperbolic almost Hermitian manifolds
Creators: name: Pinoy, Alan
Publisher: name: arXiv
Year: 2023
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 53C21, 53C35, 53C55, 58J60

description: In this article, we consider a complete, non-compact almost Hermitian manifold whose curvature is asymptotic to that of the complex hyperbolic plane. Under natural geometric conditions, we show that such a manifold arises as the interior of a compact almost complex manifold whose boundary is a strictly pseudoconvex CR manifold. Moreover, the geometric structure of the boundary can be recovered by analysing the expansion of the metric near infinity.
description: 25 pages. Comments are welcome
К ВОПРОСУ О ПРИЗНАНИИ ЮРИДИЧЕСКИХ ЛИЦ ПОТЕРПЕВШИМИ ОТ ПРЕСТУПЛЕНИЙ (СРАВНИТЕЛЬНО-ПРАВОВОЙ АНАЛИЗ ЗАКОНОДАТЕЛЬСТВА РОССИИ И ВЬЕТНАМА)
Creators: name: Дмитрий Александрович Иванов
name: Во Ким Зунг
Publisher: name: Вестник Московского университета МВД России
Year: 2020
Subjects: потерпевший
юридическое лицо
имущественный вред
вред деловой репутации
неимущественный вред

description: Рассматриваются вопросы признания юридических лиц потерпевшими от преступлений в уголовно-процессуальных законах Российской Федерации и Социалистической Республики Вьетнам. Выделяются некоторые значительные отличия, а также существующие научные подходы к определению «потерпевший» в законодательствах указанных стран. Предлагается авторское определение термина «потерпевший», которое позволит совершенствовать законодательное регулирование процесса защиты прав и законных интересов юридических лиц, потерпевших от преступлений.
СОВРЕМЕННЫЙ ВЗГЛЯД НА ИНСТИТУТ ВОЗМЕЩЕНИЯ ВРЕДА, ПРИЧИНЕННОГО ПРЕСТУПЛЕНИЕМ
Creators: name: Антон Михайлович Мартынов
Publisher: name: Вестник Московского университета МВД России
Year: 2020
Subjects: вред причиненный преступлением
досудебное производство
следователь
добровольное возмещение вреда причиненного преступлением
следственные действия

description: Рассматриваются актуальные проблемы, возникающие в деятельности следователя по установлению и возмещению вреда, причиненного преступлением. Обосновывается вывод о том, что развитие института возмещения вреда, причиненного уголовно наказуемыми деяниями, должно быть связано посредством добровольных начал компенсационного характера, которые являются приоритетными направлениями в правоотношениях между должностным лицом, осуществляющим уголовное преследование, и лицом, причинившим вред.
A Proposed Approach for Certifying Machine Learning Pipelines Containing Multiple Trust Objectives
Creators: name: Darling, Michael Christopher
name: Milewicz, Reed Morgan
name: Acquesta, Erin Carolyn Solfiell
name: Butler, Karin
name: Carroll, Edward R
name: Datta, Esha
name: Nichol, J. Jake
name: Smith, Mark A.
name: Speed, Ann E
Publisher: name: Zenodo
Year: 2024
Subjects: Trustworthy
Machine Learning
Certification
Decision Science

description: We propose to develop methods for certifying Machine Learning (ML) models by optimizing multiple trust and decision objectives. By combining measures of trustworthiness with domain- specific decision objectives, we aim to establish the criteria necessary to meet exacting standards for high-consequence applications of ML in support of national security priorities. In accordance with Executive Order-14110, our objective is to promote the safe, secure, and trustworthy development and use of Artificial Intelligence (AI) by delivering a generalizable process that can readily inform ML certification.

Current credibility assessments for ML are developer-focused, application-specific, and limited to uncertainty quantification (UQ) and validation, which are necessary but insufficient for certification. Whereas ML developers are primarily concerned with various measurements of model accuracy, non-ML- expert stakeholders are concerned with real-world quantities such as risk, or safety; this suggests that a more holistic technical basis is needed. With multiple objectives, decisions may only be Pareto-optimal: no objective can be improved without making another worse. Designing certification processes with multi-objective design optimization allows for the balancing of requirements for specific applications.

The absence of evidence-based, generalizable approaches to certification restricts our ability to develop and deploy credible, mature ML models. To address this gap, we will operationalize AI risk-frameworks, such as the National Institute of Standards and Technology’s Risk Management Framework, by synthesizing important Trustworthy AI capabilities such as robustness testing and anomaly detection. To validate and refine our approach, we will engage in collaborative case studies applying our tools to real-world datasets and scenarios while gathering feedback to ensure their effectiveness and usability.

Our primary research goal is to develop a process for designing certifications for trustworthiness of ML, particularly in high-consequence applications. Drawing inspiration from the multi-tiered approach of software testing, which encompasses unit to integration tests, our strategy involves assessing trustworthiness throughout the ML development lifecycle and conducting system-level, evaluations of non-functional properties such as safety, fairness, and privacy.

If successful, our research will position ML to fulfill the requirements of high- consequence domains, as evidenced by a measurable improvement in the reliability properties of our exemplar models.
Additional file 1 of Estimating RNA dynamics using one time point for one sample in a single-pulse metabolic labeling experiment
Creators: name: Hersch, Micha
name: Biasini, Adriano
name: Marques, Ana C.
name: Bergmann, Sven
Publisher: name: figshare
Year: 2022
Subjects: subject: Biophysics
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Computational Biology

description: Additional file 1: Appendix A. Derivation of the model solution.
Energetics of gating MscS by membrane tension in azolectin liposomes and giant spheroplasts
Creators: name: Martinac, Boris
name: Shaikh, Shaista
name: Cox, Charles D
name: Nomura, Takeshi
Publisher: name: Taylor & Francis
Year: 2014
Subjects: subject: Hematology
subject: Physiology
subject: FOS: Biological sciences
subject: Neuroscience
subject: Molecular Biology
subject: Cell Biology
subject: Microbiology
subject: Physics
subject: Biochemistry
subject: Biophysics

description: Mechanosensitive (MS) ion channels are molecular sensors that detect and transduce signals across prokaryotic and eukaryotic cell membranes arising from external mechanical stimuli or osmotic gradients. They play an integral role in mechanosensory responses including touch, hearing, and proprioception by opening or closing in order to facilitate or prevent the flow of ions and organic osmolytes. In this study we use a linear force model of MS channel gating to determine the gating membrane tension (γ) and the gating area change (ΔA) associated with the energetics of MscS channel gating in giant spheroplasts and azolectin liposomes. Analysis of Boltzmann distribution functions describing the dependence of MscS channel gating on membrane tension indicated that the gating area change (ΔA) was the same for MscS channels recorded in both preparations. The comparison of the membrane tension (γ) gating the channel, however, showed a significant difference between the MscS channel activities in these two preparations.
The essential oil chemical composition of a rare ethnopharmacoligical plant: Verbascum creticum (L.) Cav
Creators: name: Vaglica, Alessandro
name: Porrello, Antonella
name: Ilardi, Vincenzo
name: Bruno, Maurizio
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Plant Biology

description: The genus Verbascum L, belonging to the Scrophulariaceae family, is native to Europe, Africa and Asia. The use of plants of this genus in the popular medicine has been largely reported. In the present study the chemical composition of the essential oil from aerial parts of Verbascum creticum (L.) Cav., a rare plant, never previously investigated, known for its anti-inflammatory properties of the intestinal mucosa and in the treatment of acute and chronic catarrhs, growing in Algeria, Baleares, Calabria, Sardinia, Sicily, Spain and Tunisia, was evaluated by GC-MS. The main components of its essential oil (Vc) were 1-octen-3-ol (23.9%), cis-3-hexen-1-ol (9.4%), phenylethanal (4.6%), and 2-methyl-benzofurane (4.6%). The comparison with all the other studied essential oils of genus Verbascum is discussed. Furthermore, a review of the use of the Verbascum species in the popular medicine has been carried out.
Unmasking the giant: A comprehensive evaluation of ChatGPT's proficiency in coding algorithms and data structures
Creators: name: Arefin, Sayed Erfan
name: Heya, Tasnia Ashrafi
name: Al-Qudah, Hasan
name: Ineza, Ynes
name: Serwadda, Abdul
Publisher: name: arXiv
Year: 2023
Subjects: subject: Software Engineering (cs.SE)
subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: The transformative influence of Large Language Models (LLMs) is profoundly reshaping the Artificial Intelligence (AI) technology domain. Notably, ChatGPT distinguishes itself within these models, demonstrating remarkable performance in multi-turn conversations and exhibiting code proficiency across an array of languages. In this paper, we carry out a comprehensive evaluation of ChatGPT's coding capabilities based on what is to date the largest catalog of coding challenges. Our focus is on the python programming language and problems centered on data structures and algorithms, two topics at the very foundations of Computer Science. We evaluate ChatGPT for its ability to generate correct solutions to the problems fed to it, its code quality, and nature of run-time errors thrown by its code. Where ChatGPT code successfully executes, but fails to solve the problem at hand, we look into patterns in the test cases passed in order to gain some insights into how wrong ChatGPT code is in these kinds of situations. To infer whether ChatGPT might have directly memorized some of the data that was used to train it, we methodically design an experiment to investigate this phenomena. Making comparisons with human performance whenever feasible, we investigate all the above questions from the context of both its underlying learning models (GPT-3.5 and GPT-4), on a vast array sub-topics within the main topics, and on problems having varying degrees of difficulty.
description: Accepted at the 16th International Conference on Agents and Artificial Intelligence (ICAART) 2024. DOI: 10.5220/0012467100003636
YOLIC: An Efficient Method for Object Localization and Classification on Edge Devices
Creators: name: Su, Kai
name: Tomioka, Yoichi
name: Zhao, Qiangfu
name: Liu, Yong
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: In the realm of Tiny AI, we introduce ``You Only Look at Interested Cells" (YOLIC), an efficient method for object localization and classification on edge devices. Through seamlessly blending the strengths of semantic segmentation and object detection, YOLIC offers superior computational efficiency and precision. By adopting Cells of Interest for classification instead of individual pixels, YOLIC encapsulates relevant information, reduces computational load, and enables rough object shape inference. Importantly, the need for bounding box regression is obviated, as YOLIC capitalizes on the predetermined cell configuration that provides information about potential object location, size, and shape. To tackle the issue of single-label classification limitations, a multi-label classification approach is applied to each cell for effectively recognizing overlapping or closely situated objects. This paper presents extensive experiments on multiple datasets to demonstrate that YOLIC achieves detection performance comparable to the state-of-the-art YOLO algorithms while surpassing in speed, exceeding 30fps on a Raspberry Pi 4B CPU. All resources related to this study, including datasets, cell designer, image annotation tool, and source code, have been made publicly available on our project website at https://kai3316.github.io/yolic.github.io
Solomon equations for qubit and two-level systems: Insights into non-Poissonian quantum jumps
Creators: name: Spiecker, Martin
name: Pavlov, Andrei I.
name: Shnirman, Alexander
name: Pop, Ioan M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: We measure and model the combined relaxation of a qubit coupled to a discrete two-level system~(TLS) environment, also known as the central spin model. If the TLSs are much longer-lived than the qubit, non-exponential relaxation and non-Poissonian quantum jumps can be observed. In the limit of large numbers of TLSs, the relaxation is likely to follow a power law, which we confirm with measurements on a superconducting fluxonium qubit. Moreover, the observed relaxation and quantum jump statistics are described by the Solomon equations, for which we present a derivation starting from the general Lindblad equation for an arbitrary number of TLSs. We also show how to reproduce the non-Poissonian quantum jump statistics using a diffusive stochastic Schrödinger equation. The fact that the measured quantum jump statistics can be reproduced by the Solomon equations, which ignore the quantum measurement backaction, hints at a quantum-to-classical transition.
Additional file 2 of Estimating RNA dynamics using one time point for one sample in a single-pulse metabolic labeling experiment
Creators: name: Hersch, Micha
name: Biasini, Adriano
name: Marques, Ana C.
name: Bergmann, Sven
Publisher: name: figshare
Year: 2022
Subjects: subject: Biophysics
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Computational Biology

description: Additional file 2: Appendix B. Equation simplification.
Orthography-based dating and localisation of Middle Dutch charters
Creators: name: Van Uytvanck, Dieter
Publisher: name: https://b2share.eudat.eu
Year: 2017
Subjects: machine learning
text mining
orthography
Middle Dutch

description: In this study we build models for the localisation and dating of Middle Dutch charters. First, we extract character trigrams and use these to train a machine learner (K Nearest Neighbours) and an author verification algorithm (Linguistic Profiling). Both approaches work quite well, especially for the localisation task. Afterwards, an attempt is made to derive features that capture the orthographic variation between the charters more precisely. These are then used as input for the earlier tested classification algorithms. Again good results (at least as good as using the trigrams) are attained, even though proper nouns were ignored during the feature extraction. We can conclude that the localisation, and to a lesser extent the dating, is feasible. Moreover, the orthographic features we derive from the charters are an efficient basis for such a classification task.

One file (PDF) contains the text of the master thesis, the other file (.tar.gz) contains all the used data sets and analysis scripts.
Small-angle neutron scattering study of specific interaction and coordination structure formed by mono-acetyl-substituted dibenzo-20-crown-6-ether and cesium ions
Creators: name: Ryuhei Motokawa
name: Kobayashi, Tohru
name: Endo, Hitoshi
name: Ikeda, Takashi
name: Yaita, Tsuyoshi
name: Suzuki, Shinichi
name: Narita, Hirokazu
name: Akutsu, Kazuhiro
name: Heller, William T.
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Cancer
subject: Computational Biology

description: This study uses small-angle neutron scattering (SANS) to elucidate the coordination structure of the complex of mono-acetyl-substituted dibenzo-20-crown-6-ether (ace-DB20C6) with cesium ions (Cs+). SANS profiles obtained for the complex of ace-DB20C6 and Cs+ (ace-DB20C6/Cs) in deuterated dimethyl sulfoxide indicated that Cs+ coordination resulted in a more compact structure than the free ace-DB20C6. The data were fitted well with SANS profiles calculated using Debye function for scattering on an absolute scattering intensity scale. For this theoretical calculation of the scattering profiles, the coordination structure proposed based on density functional theory calculation was used. Consequently, we conclude that the SANS analysis experimentally supports the proposed coordination structure of ace-DB20C6/Cs and suggests the following: (1) the complex of ace-DB20C6 and Cs+ is formed with an ace-DB20C6/Cs molar ratio of 1/1 and (2) the two benzene rings of ace-DB20C6 fold around Cs+ above the center of the crown ether ring of ace-DB20C6.
Covariate shift in nonparametric regression with Markovian design
Creators: name: Trottner, Lukas
Publisher: name: arXiv
Year: 2023
Subjects: subject: Statistics Theory (math.ST)
subject: Machine Learning (stat.ML)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: Covariate shift in regression problems and the associated distribution mismatch between training and test data is a commonly encountered phenomenon in machine learning. In this paper, we extend recent results on nonparametric convergence rates for i.i.d. data to Markovian dependence structures. We demonstrate that under Hölder smoothness assumptions on the regression function, convergence rates for the generalization risk of a Nadaraya-Watson kernel estimator are determined by the similarity between the invariant distributions associated to source and target Markov chains. The similarity is explicitly captured in terms of a bandwidth-dependent similarity measure recently introduced in Pathak, Ma and Wainwright [ICML, 2022]. Precise convergence rates are derived for the particular cases of finite Markov chains and spectral gap Markov chains for which the similarity measure between their invariant distributions grows polynomially with decreasing bandwidth. For the latter, we extend the notion of a distribution transfer exponent from Kpotufe and Martinet [Ann. Stat., 49(6), 2021] to kernel transfer exponents of uniformly ergodic Markov chains in order to generate a rich class of Markov kernel pairs for which convergence guarantees for the covariate shift problem can be formulated.
HPDBSCAN Benchmark test files
Creators: name: [Unknown]
Publisher: name: https://b2share.eudat.eu
Year: 2015
Subjects: dbscan
clustering
twitter
bremen
machine learning
unsupervised

description: Four data sets used for the benchmark of HPDBSCAN.

Collection of geo-tagged Twitter data: This set has been
collected and made available to us by Junjun Yin form the
National Center for Supercomputing Application (NCSA). The
dataset was obtained using the free twitter streaming API and
contains exactly one percent of all geo-tagged of the United
Kingdom in June 2014. It was initially created to investigate
the possibility of mining peoples trajectories and to identify
hotspots and points of interest (clusters of people) through
monitoring tweet density. The full collections spans roughly
16.6 million tweets. A smaller subset of this was generated
by filtering the entire set for the first week of June only.

Oldtown of Bremen point cloud

This data has been collected and made available by Dorit Borrmann and Andreas Nüchter from the Institute of Computer Science at the Jacobs University Bremen, Germany. It is a 3D point cloud of the oldtown of Bremen, Germany. A point cloud is a set of points and its represening coordinate system that often model the surface of objects. This particular point cloud of Bremen was recorded using a laser scanner system mounted onto an autonomous robotic vehicle. It has stopped at 11 different locations, performing each time a full 360° scan of the surrounding area. Given the GPS triangulized position and perspective of the camera the sub-point clouds where combined to one monolithic.
ОЧЕРЕДНОЕ ОБОСТРЕНИЕ КОНКУРЕНЦИИ КОНСТИТУЦИОННЫХ ЦЕННОСТЕЙ ПРИ РАССЛЕДОВАНИИ ПРЕСТУПЛЕНИЙ В СФЕРЕ ЭКОНОМИЧЕСКОЙ И ПРЕДПРИНИМАТЕЛЬСКОЙ ДЕЯТЕЛЬНОСТИ
Creators: name: Павел Олегович Панфилов
Publisher: name: Вестник Московского университета МВД России
Year: 2020
Subjects: публичность
предпринимательская деятельность
электронные носители информации
следственные действия
доказательства

description: Анализируются положения ч. 4.1 ст. 164 и 164.1 УПК РФ, и обосновывается идея о том, что указанные положения как в теории, так и на практике не обеспечивают защиту конституционных прав на занятие предпринимательской деятельностью и препятствуют производству по уголовному делу, создавая конкуренцию конституционных ценностей в уголовном процессе. Предлагаются пути совершенствования теории, законодательства и практики правоприменения.
Flow Cytometry Data and Fluorescence Microscopy Images of V79 and LN18 Cells Exposed to 250 kVp X Rays
Creators: name: Cole, Adam
Publisher: name: http://b2share.eudat.eu
Year: 2015
Subjects: Micronuclei
Flow Cytometry
LN18
V79
MiNiMUS

description: V79 and LN18 were exposed to 250 kVp x rays at doses from 0 to 3 Gy. The cells were then prepared for either flow cytometry or fluorescence microscopy 1.5 doubling times later.

In the case of the microscopy, the cells were blocked from dividing using cytochalisin b. Imaging was done with a Nikon Eclispe CiS microscope using a 10x objective. The resulting images are contained in the data set.

Flow cytometry was done using a double DNA stain using SYTOX Green and Ethidium Monoazide (EMA) using a BD FACSCanto II. The generated FCS files are included in the dataset.

This dataset was the result of a PhD, titled "MiNIMUS: A Model to Predict the Formation and Numbers of Micronuclei in Cells.", available open access via Surrey Research Insight (http://epubs.surrey.ac.uk).
Additional file 3 of Estimating RNA dynamics using one time point for one sample in a single-pulse metabolic labeling experiment
Creators: name: Hersch, Micha
name: Biasini, Adriano
name: Marques, Ana C.
name: Bergmann, Sven
Publisher: name: figshare
Year: 2022
Subjects: subject: Biophysics
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Computational Biology

description: Additional file 3: Appendix C. Proof of uniqueness of solution.
Assessing the value of energy storage systems for distribution grid applications
Creators: name: Hoosh, Sahar Moghimian
name: Ouerdane, Henni
name: Terzija, Vladimir
name: Pozo, David
Publisher: name: arXiv
Year: 2023
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: We analyze the potential benefits that energy storage systems (ESS) can bring to distribution networks in terms of cost, stability and flexibility. We propose an optimization model for the optimal sizing, siting, and operation of storage systems in distribution grids. A DistFlow formulation is used for modeling the AC power flow. The ESS model is based on a generic formulation that captures the charging and discharging modes' complementarity. The resulting optimization model is stated as a mixed-integer quadratically constrained program (MIQCP) problem. The optimization model is assessed on the modified 33-bus IEEE network, which includes renewable energy resources and ESS. The obtained results show that ESS can offer various important benefits such as overall cost reduction, energy arbitrage, voltage regulation, and congestion management in distribution grids. These findings highlight the significance of utilizing ESS technologies to provide aggregated value through various grid services, extending beyond energy arbitrage alone.
Additional file 4 of Estimating RNA dynamics using one time point for one sample in a single-pulse metabolic labeling experiment
Creators: name: Hersch, Micha
name: Biasini, Adriano
name: Marques, Ana C.
name: Bergmann, Sven
Publisher: name: figshare
Year: 2022
Subjects: subject: Biophysics
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Computational Biology

description: Additional file 4: Appendix D. Supplementary figures.
ВЗАИМОДЕЙСТВИЕ МЕЖДУНАРОДНОГО ГУМАНИТАРНОГО ПРАВА И МЕЖДУНАРОДНОГО ПРАВА ПРАВ ЧЕЛОВЕКА В МИРОПОРЯДКЕ НА ОСНОВЕ ВЕРХОВЕНСТВА ПРАВА
Creators: name: Нателла Александровна Синяева
Publisher: name: Вестник Московского университета МВД России
Year: 2020
Subjects: международное гуманитарное право
международное право прав человека
миропорядок
верховенство права

description: Представлено концептуальное видение взаимодействия международного гуманитарного права и международного права прав человека в миропорядке на основе верховенства права.
Osteogenic differentiation of adipose derived stem cells on high and low aspect ratio micropatterns
Creators: name: Sayin, Esen
name: Baran, Erkan Türker
name: Hasirci, Vasif
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Developmental Biology
subject: Biological Sciences
subject: Chemistry
subject: Earth and Environmental Sciences
subject: Biotechnology
subject: Physiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Microbiology
subject: Medicine
subject: Engineering
subject: Biochemistry

description: Adipose derived stem cells (ADSCs) were cultured on collagen–silk fibroin films with microchannel and micropillar patterns to investigate the effects of cell morphology changes on osteogenic differentiation. Channel and pillar micropatterned films were prepared from collagen type I and silk fibroin. While higher ADSC proliferation profiles were obtained on micropillar blend film, microchannel blend films, however, caused twice higher aspect ratio and effective orientation of cells. Alkaline phosphatase activity of ADSCs was several times higher on microchannel surface when the measured activities were normalized to cell number. Effective deposition of collagen type I and mineral by the cells were observed for patterned and unpatterned films, and these extracellular matrix components were oriented along the axis of the microchannels. In conclusion, the use of collagen–fibroin blend film with microchannel topography increased the aspect ratio and alignment of cells significantly, and was also effective in the differentiation of ADSCs into osteogenic lineage
Rotating detectors in dS/AdS spacetimes
Creators: name: K, Hari.
name: Kothawala, Dawood
Publisher: name: arXiv
Year: 2023
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We analyse several aspects of detectors with uniform acceleration $a$ and uniform rotation $Ω$ in de Sitter ($Λ>0$) and anti-de Sitter ($Λ<0$) spacetimes, focusing particularly on the periodicity, in (Euclidean) proper time $τ_{\rm traj}$, of geodesic interval $τ_{\rm geod}$ between two events on the trajectory. For $Λ<0$, $τ_{\rm geod}$ is periodic in ${\rm i} τ_{\rm traj}$ for specific values of $a$ and $Ω$. These results are used to obtain numerical plots for the response rate $\dot{\mathcal{F}}$ of Unruh-de Witt detectors, which display non-trivial combined effects of rotation and curvature through the dimensionless parameter $Λc^2/Ω^2$. In particular, periodicity does not imply thermality due to additional poles in the Wightman function away from the imaginary axis. We then present some results for stationary rotational motion in arbitrary curved spacetime, as a perturbative expansion in curvature.
description: 10 pages, 3 figures, matches published version in PRD
К ВОПРОСУ О ПРОЦЕССУАЛЬНОМ СТАТУСЕ РЕЦЕНЗИИ НА ЗАКЛЮЧЕНИЕ ЭКСПЕРТА
Creators: name: Антон Николаевич Линев
Publisher: name: Вестник Московского университета МВД России
Year: 2020
Subjects: заключение эксперта
специалист
рецензия
повторная экспертиза

description: Приводится авторское видение правовой сущности и значения широко востребованной в последнее время участниками гражданско-правовых споров, а также сторонами уголовных и административных дел рецензии на заключение эксперта как универсальной формы предоставления суду компетентной оценки полноты и объективности проведенной судебной экспертизы, а также ее роли в процессе доказывания.
КРИМИНАЛИСТИЧЕСКАЯ КЛАССИФИКАЦИЯ ЛИЦ, СОВЕРШАЮЩИХ ОТДЕЛЬНЫЕ ЭКОЛОГИЧЕСКИЕ ПРЕСТУПЛЕНИЯ
Creators: name: Мария Александровна Васильева
name: Александр Анатольевич Нечаев
Publisher: name: Вестник Московского университета МВД России
Year: 2020
Subjects: незаконная добыча водных биоресурсов
незаконная рубка лесных насаждений
расследование
древесина
рыба
личность преступника
механизм преступления

description: Раскрывается содержание типичных криминалистически значимых характеристик личности преступников, совершающих отдельные экологические преступления, наиболее распространенные на территории Российской Федерации, в виде незаконного вылова (добычи) водных биологических ресурсов и незаконной рубки лесных насаждений. Усматриваются их схожие личностные характеристики, непосредственно проявляющиеся в способе совершения экологических преступлений. Указывается на отличия способов совершения преступлений в зависимости от целей занятия преступной деятельностью. Предлагается классификация рассматриваемой категории преступлений по видам: для самостоятельного пользования добытыми ресурсами; для дальнейшей реализации внутри страны; для дальнейшей реализации за пределы Российской Федерации. Дается описание каждому виду представленной характеристики.
ПРАКТИЧЕСКИЕ ЗАНЯТИЯ ПО ТАКТИКЕ СЛЕДСТВЕННОГО ОСМОТРА МЕСТА ДОРОЖНО-ТРАНСПОРТНОГО ПРОИСШЕСТВИЯ: СВЯЗЬ НАУКИ И ПРАКТИКИ
Creators: name: Виталия Михайловна Данилкина
Publisher: name: Вестник Московского университета МВД России
Year: 2020
Subjects: дорожно-транспортное происшествие
следственный осмотр
следы преступления
специализированное оборудование
криминалистический полигон
методика практического занятия

description: Успешность расследования преступлений по фактам ДТП во многом определяет качественный осмотр места происшествия, создающий дальнейшую информационную базу, обеспечивающий результативность автотехнических экспертных исследований. Здесь важная для раскрытия и расследования информация о преступлении и его участниках отображается в следах. Процесс собирания следов преступления включает в себя сложные и взаимосвязанные этапы их поиска, фиксации, упаковки и изъятия. В статье приводятся рекомендации по особенностям моделирования мест ДТП на криминалистическом полигоне и тактике их дальнейшего осмотра в процессе практической части занятия по обучению курсантов и слушателей в рамках курса криминалистики.
ТЕХНИКО-КРИМИНАЛИСТИЧЕСКОЕ ОБЕСПЕЧЕНИЕ МЕТОДИКИ ВОССТАНОВЛЕНИЯ УНИЧТОЖЕННЫХ МАРКИРОВОЧНЫХ ОБОЗНАЧЕНИЙ НА ОГНЕСТРЕЛЬНОМ ОРУЖИИ И БОЕПРИПАСАХ: СОВРЕМЕННЫЕ ОСОБЕННОСТИ И ИННОВАЦИИ
Creators: name: Андрей Николаевич Куфтерин
name: Александр Алексеевич Рудавин
Publisher: name: Вестник Московского университета МВД России
Year: 2020
Subjects: незаконный оборот оружия
идентификационный номер оружия
маркировочная площадка оружия
выявление уничтоженной маркировки
огнестрельное оружие
магнитно-оптический метод

description: Анализируются современные особенности технико-криминалистического обеспечения методики восстановления уничтоженных маркировочных обозначений на огнестрельном оружии и боеприпасах при расследовании преступлений, связанных с незаконным оборотом огнестрельного оружия и боеприпасов.
РАССЛЕДОВАНИЕ И ПРЕДУПРЕЖДЕНИЕ ПРЕСТУПЛЕНИЙ, СОВЕРШАЕМЫХ ОСУЖДЕННЫМИ В ИСПРАВИТЕЛЬНЫХ УЧРЕЖДЕНИЯХ: К 70-ЛЕТИЮ ПРОФЕССОРА Н.Г. ШУРУХНОВА
Creators: name: Андрей Александрович Нуждин
name: Дмитрий Алексеевич Гришин
Publisher: name: Вестник Московского университета МВД России
Year: 2020
Subjects: Николай Григорьевич Шурухнов
доктор юридических наук
профессор
расследование
предупреждение
осужденный
преступление
исправительное учреждение

description: Приводятся краткие биографические данные профессора кафедры уголовного процесса и криминалистики юридического факультета Академии ФСИН России доктора юридических наук, профессора Николая Григорьевича Шурухнова. Рассматриваются его идеи, предложения и классификации по вопросам расследования и предупреждения преступлений, совершаемых осужденными в исправительных учреждениях. Приводятся краткие аспекты становления и развития научной школы профессора Н.Г. Шурухнова в стенах Академии ФСИН России.
ЭНЕРГОИНФОРМАЦИОННЫЕ ОСНОВЫ И ПРИОРИТЕТНЫЕ НАПРАВЛЕНИЯ В БОРЬБЕ С СОЦИАЛЬНОЙ ДЕСТРУКЦИЕЙ
Creators: name: Анатолий Семенович Овчинский
name: Константин Константинович Борзунов
Publisher: name: Вестник Московского университета МВД России
Year: 2020
Subjects: информационные координаты
психоисторическая война
психоидеологическая война
психодемографическая война
социально-психологическая энергия
мировые идеологии
информационное противоборство
приоритеты управления

description: Информация в триединстве ее реактивных, ресурсных и фоновых проявлений рассматривается как инструмент воздействия на сознание людей. Наряду с анализом энергоинформационных трансформаций, сопутствующих социальным процессам, развиваются представления о различных направлениях информационной войны против России. Выделяются идеологический, исторический и мировоззренческий приоритеты в концептуальном управлении общественным развитием и мировыми процессами. Обсуждается повышение эффективности информационного противоборства с наполнением информационных сфер и культурно-образовательной среды мощным позитивным патриотическим контентом.
Additional file 1 of Macrophage-targeted anti-CCL2 immunotherapy enhances tumor sensitivity to 5-fluorouracil in a Balb/c-CT26 murine colon carcinoma model measured using diffuse reflectance spectroscopy
Creators: name: Bess, Shelby N.
name: Greening, Gage J.
name: Rajaram, Narasimhan
name: Muldoon, Timothy J.
Publisher: name: figshare
Year: 2022
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer

description: Additional file 1: Longitudinal comparisons of DRS-derived oxyhemoglobin and deoxyhemoglobin.
НОВОЕ СЛОВО В КРИМИНАЛИСТИЧЕСКОЙ ЭКСПЕРТИЗЕ АТИПИЧНОГО ОГНЕСТРЕЛЬНОГО ОРУЖИЯ
Creators: name: Алексей Борисович Опокин
name: Елена Евгеньевна Томилина
Publisher: name: Вестник Московского университета МВД России
Year: 2020
Subjects: специалист
уголовное судопроизводство
следователь
дознаватель
специальные знания
уголовное право
преступление
огнестрельное оружие
патрон
пуля
гильза
калибр

description: Огнестрельное оружие, применяемое в преступных целях, бывает стандартным заводским, кустарным и атипичным. Как известно, стандартное оружие изготавливается серийно в специализированных заводских условиях в строгом соответствии с эталоном. Кустарным считается оружие, изготовленное не в заводских условиях мастерами-оружейниками. Атипичное огнестрельное оружие имеет своеобразную баллистическую и конструктивную характеристику, и поэтому должно рассматриваться самостоятельно.
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
Creators: name: Anelli, Vito Walter
name: Malitesta, Daniele
name: Pomo, Claudio
name: Bellogín, Alejandro
name: Di Noia, Tommaso
name: Di Sciascio, Eugenio
Publisher: name: arXiv
Year: 2023
Subjects: subject: Information Retrieval (cs.IR)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: The success of graph neural network-based models (GNNs) has significantly advanced recommender systems by effectively modeling users and items as a bipartite, undirected graph. However, many original graph-based works often adopt results from baseline papers without verifying their validity for the specific configuration under analysis. Our work addresses this issue by focusing on the replicability of results. We present a code that successfully replicates results from six popular and recent graph recommendation models (NGCF, DGCF, LightGCN, SGL, UltraGCN, and GFCF) on three common benchmark datasets (Gowalla, Yelp 2018, and Amazon Book). Additionally, we compare these graph models with traditional collaborative filtering models that historically performed well in offline evaluations. Furthermore, we extend our study to two new datasets (Allrecipes and BookCrossing) that lack established setups in existing literature. As the performance on these datasets differs from the previous benchmarks, we analyze the impact of specific dataset characteristics on recommendation accuracy. By investigating the information flow from users' neighborhoods, we aim to identify which models are influenced by intrinsic features in the dataset structure. The code to reproduce our experiments is available at: https://github.com/sisinflab/Graph-RSs-Reproducibility.
description: Accepted to RecSys '23 - Reproducility Track
LoRa Modulation for Split Learning
Creators: name: Martinez-Gost, Marc
name: Pérez-Neira, Ana
name: Lagunas, Miguel Ángel
Publisher: name: arXiv
Year: 2023
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: In this paper we introduce a task-oriented communication design for split learning (SL) over a communication channel. Our approach involves the Expressive Neural Network (ENN), a novel neural network featuring adaptive activation functions (AAF) based on the Discrete Cosine Transform (DCT). This architecture does not only provide better learning capabilities, but also facilitates data transmission using the Long Range (LoRa) modulation. The frequency nature of LoRa is adequate for the communication side of the problem, while allowing to construct the AAFs at the receiver. Additionally, we propose orthogonal chirp division multiplexing (OCDM) for multiple access and a modified modulation aimed at preserving communication bandwidth. Our experimental results demonstrate the effectiveness of this scheme, achieving high accuracy in challenging scenarios, including low signal to noise Ratio (SNR) and absence of channel state information (CSI) for both additive white Gaussian noise (AWGN) and Rayleigh fading channels.
description: Accepted in 2023 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2023)
Additional file 1 of Health effects of utilising hospital contacts to provide measles vaccination to children 9–59 months—a randomised controlled trial in Guinea-Bissau
Creators: name: Fisker, Ane B.
name: Martins, Justiniano S. D.
name: Jensen, Andreas M.
name: Martins, Cesario
name: Aaby, Peter
name: Thysen, Sanne M.
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology
subject: FOS: Biological sciences
subject: Computational Biology

description: Additional file 1. Appendix. Analysis plan.
ОСОБЕННОСТИ ПРАВОВОГО РЕГУЛИРОВАНИЯ ТЕХНОЛОГИИ БЛОКЧЕЙН
Creators: name: Александр Владимирович Токолов
Publisher: name: Вестник Московского университета МВД России
Year: 2020
Subjects: блокчейн
правовое регулирование
технологическая нейтральность
криптовалюта
распределенный реестр

description: Рассмотрены особенности правового регулирования технологии блокчейн. Проведен анализ особенностей развития правового регулирования.
Strong-coupling phases of trions and excitons in electron-hole bilayers at commensurate densities
Creators: name: Dai, David D.
name: Fu, Liang
Publisher: name: arXiv
Year: 2023
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We introduce density imbalanced electron-hole bilayers at a commensurate 2 : 1 density ratio as a platform for realizing novel phases involving electrons, excitons and trions. Three length scales are identified which characterize the interplay between kinetic energy, intralayer repulsion, and interlayer attraction. By a combination of theoretical analysis and numerical calculation, we find a variety of strong-coupling phases in different parameter regions, including quantum crystals of electrons, excitons, and trions. We also propose an "excitonic supersolid" phase that features electron crystallization and exciton superfluidity simultaneously. The material realization and experimental signature of these phases are discussed in the context of semiconductor transition metal dichalcogenide bilayers.
description: Published in PRL. Revised main text and supplement. Main: 6 pages, 4 figures. SM: 8 pages, 6 figures
Additional file 2 of Health effects of utilising hospital contacts to provide measles vaccination to children 9–59 months—a randomised controlled trial in Guinea-Bissau
Creators: name: Fisker, Ane B.
name: Martins, Justiniano S. D.
name: Jensen, Andreas M.
name: Martins, Cesario
name: Aaby, Peter
name: Thysen, Sanne M.
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology
subject: FOS: Biological sciences
subject: Computational Biology

description: Additional file 2.
АКТУАЛЬНЫЕ ВОПРОСЫ ПРАВОПРИМЕНИТЕЛЬНОЙ ПРАКТИКИ ПО ДЕЛАМ ОБ АДМИНИСТРАТИВНЫХ ПРАВОНАРУШЕНИЯХ ЭКСТРЕМИСТСКОЙ НАПРАВЛЕННОСТИ
Creators: name: Венера Наимовна Амельчакова
name: Наталья Владимировна Малахова
Publisher: name: Вестник Московского университета МВД России
Year: 2020
Subjects: понятие экстремизма
административное законодательство
меры по противодействию экстремизму

description: Рассматриваются вопросы правоприменительной практики по делам об административных правонарушениях в сфере противодействия экстремизму в связи с внесением изменений в административное и уголовное законодательство Российской Федерации.
Additional file 1 of The accuracy of a recombinant antigen immunochromatographic test for the detection of Strongyloides stercoralis infection in migrants from sub-Saharan Africa
Creators: name: Tamarozzi, Francesca
name: Longoni, Silvia Stefania
name: Mazzi, Cristina
name: Rizzi, Eleonora
name: Noordin, Rahmah
name: Buonfrate, Dora
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Molecular Biology
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1: Table S1. Results of the IFAT and ELISA presented together with the results of the panel of faecal tests.