cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Aortic arch calcification, procedural times, and outcomes of endovascular treatment in patients with acute ischemic stroke
Creators: name: Zeenat Qureshi Stroke Institutes
Publisher: name: Zenodo
Year: 2023

description: Objective—To determine the frequency of aortic arch calcification and it's relationship with procedural times, angiographic recanalization, and discharge outcomes in acute ischemic stroke patients undergoing endovascular treatment. Methods—The thoracic component of computed tomographic (CT) angiogram were reviewed by an independent reviewer to determine presence of any calcification; and the severity of calcification was graded as follows: mild, single small calcifications; moderate, multiple small calcifications; or severe, one or more large calcifications. Results—Aortic arch calcification was present in 120 (62.4%) of 188 patients and severity was graded as mild (n=24), moderate (n=44), and severe (n=52). Compared with patients without calcification, the mean intracranial access time (minutes ± SD) was similar among patients with aortic arch calcification (70 ± 31 versus 64 ± 31, p=0.9). The mean time intracranial access time increased with increasing severity of aortic arch calcification (61±27, 67±29, and 74±34, p=0.3). Patients with aortic arch calcification had similar rates of complete or partial recanalization [85 (71%) versus 50 (76%)], p=0.6) but lower rates of favorable outcomes [modified Rankin scale 0–2] at discharge 27 (22%) versus 26 (39%), p=0.02). Conclusions—A high proportion of acute ischemic stroke patients have aortic arch calcification which is associated with lower rates of favorable outcome following endovascular treatment.
A Novel Service Deployment Policy in Fog Computing Considering The Degree of Availability and Fog Landscape Utilization Using Multiobjective Evolutionary Algorithms
Creators: name: Eslami, Maryam
name: Sakhaei, Mehdi
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Fog computing is a promising paradigm for real-time and mission-critical Internet of Things (IoT) applications. Regarding the high distribution, heterogeneity, and limitation of fog resources, applications should be placed in a distributed manner to fully utilize these resources. In this paper, we propose a linear formulation for assuring the different availability requirements of application services while maximizing the utilization of fog resources. We also compare three multiobjective evolutionary algorithms, namely MOPSO, NSGA-II, and MOEA/D for a trade-off between the mentioned optimization goals. The evaluation results in the iFogSim simulator demonstrate the efficiency of all three algorithms and a generally better behavior of MOPSO algorithm in terms of obtained objective values, application deadline satisfaction, and execution time.
Союз казаков России в деле сохранения исторических, культурных и духовных традиций российского казачества
Creators: name: Соклаков Александр Юрьевич
Publisher: name: Наука. Общество. Оборона
Year: 2014
Subjects: ИСТОРИЯ РОССИИ
RUSSIAN HISTORY
КАЗАЧЕСТВО
COSSACKS
КУЛЬТУРНЫЕ И ДУХОВНЫЕ ТРАДИЦИИ
CULTURAL AND SPIRITUAL TRADITIONS

description: В статье представлен ретроспективный обзор деятельности Союза казаков России.
title: L’effet d’une pause active sur l’intérêt en situation pour des élèves de 5H et 8H
title: L’effet d’une pause active sur l’intérêt en situation pour des élèves de 5H et 8H
titleType: AlternativeTitle
Creators: name: Borgognon, Sophie
name: Muller, Rosalie
Publisher: name: Unknown
Year: 0
Subjects: subject: Pauses actives
subject: Mouvement
subject: Motivation
subject: Apprentissage
subject: Intérêt en situation
subject: Besoin

description: Être en mouvement est un besoin que ressent chaque être humain, en particulier les enfants. Pratiquer une activité physique tous les jours est primordiale du point de vue physique et psychique. Plusieurs études faites à ce sujet affirment que le mouvement est non seulement important pour le bien-être, mais favorise également l’apprentissage des élèves. De ce fait, l’Office Fédéral du Sport a mis en place « l’école en mouvement » qui a pour but de promouvoir le mouvement dans les classes. Une des pistes proposées pour inclure le mouvement en classe est de mettre en place des pauses actives. Ce sont des exercices de transition de courte durée qui se font entre deux périodes. Après la lecture des apports théoriques, nous avons formulé une première question : Est-ce que les élèves sont plus motivés à travailler après une pause active ? Néanmoins, d’après nos expériences nous nous sommes questionnées sur la différence entre des élèves de 5H et de 8H. En effet, à cet âge, il y a beaucoup de changements physiques et psychiques. Nous avons élaboré donc une autre question : L’effet des pauses actives est-il différent selon l'âge des élèves ? Afin de répondre à ces questions, nous avons appliqué notre recherche dans nos deux classes de stage, une de 5H et l’autre de 8H. Nous avons passé ce questionnaire deux fois dans chaque classe, après une leçon de français, dans le but d’évaluer l’intérêt en situation. Une fois après un cours sans pause active et l’autre avec.
Composition and structure in flocculated mineral systems
Creators: name: MacIver, Michael Ryan
Publisher: name: University of British Columbia
Year: 2022

description: An investigation of model quartz floc structure and composition was made using X-ray computed tomography to understand how floc breakage could contribute to consolidation in the dewatering process. It was concluded that floc macro-structure, defined by the connectivity and arrangement of sub-units in medium- and large-sized flocs plays an important role in the formation and breakage of flocs. Sub-units in flocs were found to be connected by lower solids concentration regions and the shared surface area between sub-units was found to decrease as a function of distance from the floc centroid. These observations indicated a tendency for flocs to break in a large-scale deformation mode (i.e., rupture along sub-unit boundaries), rather than smaller-scale fragmentation or attrition. From compression tests evaluated with CT scans and correlated with the gravimetric method, it was found that negligible changes in the solids concentration of flocs occurred at low applied pressures (< 3 kPa), which indicated that dewatering at lower applied pressures was dominated by breakage and removal of intra-aggregate fluid. These observations support the proposed model that floc breakage and re-organization of the sediment packing structure plays an important role in the thickening process. This research demonstrated two different methods of calibrating computed tomography (CT) images for solids concentration: using watery mineral suspensions of varying solids concentration for micro-CT images; and using air, water, and solid quartz for calibration of synchrotron-source CT. In Appendix A, the interpretation of X-ray CT data in a multiphase system was considered using phosphate particles. In that case, calibration of the X-ray signal was achieved by identifying the apatite phase using correlative tomography, followed by calibration of the apatite phase mineral concentration using standards of varying apatite content.
The influence of labeling techniques in classifying human manipulation movement of different speed
Creators: name: Siddiqui, Sadique Adnan
name: Gutzeit, Lisa
name: Kirchner, Frank
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In this work, we investigate the influence of labeling methods on the classification of human movements on data recorded using a marker-based motion capture system. The dataset is labeled using two different approaches, one based on video data of the movements, the other based on the movement trajectories recorded using the motion capture system. The dataset is labeled using two different approaches, one based on video data of the movements, the other based on the movement trajectories recorded using the motion capture system. The data was recorded from one participant performing a stacking scenario comprising simple arm movements at three different speeds (slow, normal, fast). Machine learning algorithms that include k-Nearest Neighbor, Random Forest, Extreme Gradient Boosting classifier, Convolutional Neural networks (CNN), Long Short-Term Memory networks (LSTM), and a combination of CNN-LSTM networks are compared on their performance in recognition of these arm movements. The models were trained on actions performed on slow and normal speed movements segments and generalized on actions consisting of fast-paced human movement. It was observed that all the models trained on normal-paced data labeled using trajectories have almost 20% improvement in accuracy on test data in comparison to the models trained on data labeled using videos of the performed experiments.
Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images
Creators: name: Ganitidis, Theofanis
name: Athanasiou, Maria
name: Dalakleidi, Kalliopi
name: Melanitis, Nikos
name: Golemati, Spyretta
name: Nikita, Konstantina S
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Carotid atherosclerosis is the major cause of ischemic stroke resulting in significant rates of mortality and disability annually. Early diagnosis of such cases is of great importance, since it enables clinicians to apply a more effective treatment strategy. This paper introduces an interpretable classification approach of carotid ultrasound images for the risk assessment and stratification of patients with carotid atheromatous plaque. To address the highly imbalanced distribution of patients between the symptomatic and asymptomatic classes (16 vs 58, respectively), an ensemble learning scheme based on a sub-sampling approach was applied along with a two-phase, cost-sensitive strategy of learning, that uses the original and a resampled data set. Convolutional Neural Networks (CNNs) were utilized for building the primary models of the ensemble. A six-layer deep CNN was used to automatically extract features from the images, followed by a classification stage of two fully connected layers. The obtained results (Area Under the ROC Curve (AUC): 73%, sensitivity: 75%, specificity: 70%) indicate that the proposed approach achieved acceptable discrimination performance. Finally, interpretability methods were applied on the model's predictions in order to reveal insights on the model's decision process as well as to enable the identification of novel image biomarkers for the stratification of patients with carotid atheromatous plaque.Clinical Relevance-The integration of interpretability methods with deep learning strategies can facilitate the identification of novel ultrasound image biomarkers for the stratification of patients with carotid atheromatous plaque.
description: Accepted at 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
title: Participation au projet scientifique ePEPSP du LER SMP
title: Développement d'une formation en ligne au programme PEPS financé par la DGS-VD
titleType: Subtitle
title: Participation au projet scientifique ePEPSP du LER SMP
titleType: AlternativeTitle
Creators: name: Charbonney, Laurane
name: Nogueira, Monica
Publisher: name: Unknown
Year: 0
Subjects: subject: Formation en ligne
subject: Projet scientifique

description: Ce travail de Bachelor a été réalisé dans le cadre du Laboratoire de Recherche en Santé Mentale et Psychiatrie (LER-SMP) dirigé par Madame A. Nguyen, Monsieur J. Favrod et Monsieur L. Frobert. Son sujet est basé sur le développement d’ePeps, une plateforme en ligne pour les animateurs du Programme d’Émotions Positives pour la Schizophrénie (PEPS). Ce dernier vise principalement à réduire l’anhédonie et l’apathie en augmentant le contrôle cognitif des émotions positives. Notre participation à ce travail de recherche consistait à développer la méthodologie d’ePeps afin d’améliorer son utilisation. Cela représentait 10 séances réparties sur notre troisième année académique. Celles-ci étaient ponctuées de plusieurs travaux dirigés.
The Texas Poll: August, 1954
Creators: name: Belden Associates
Publisher: name: Roper Center for Public Opinion Research
Year: 2021

description: Food prices (1); gas prices (1); names of oil companies (10); best oil companies (2); purchasing gas (1); making ends meet (2); business and employment conditions (2); presidential candidate preferences (1); President Dwight Eisenhower job performance (1); Governor Allan Shivers job performance (1); primary election (1); voter participation (1); Supreme Court candidate preferences (1); governor candidate preferences (1); following governor election (1); most important election issues (2); racial segregation in schools (2); governor candidates' segregation opinions (2); racially integrated universities (1); governor candidates' business leanings (3); direction of world (1); Communist China in United Nations (2); fighting Russia (2).
Equivariance-based self-supervised learning for audio signal recovery from clipped measurements
Creators: name: Sechaud, Victor
name: Jacques, Laurent
name: Abry, Patrice
name: Tachella, Julián
Publisher: name: arXiv
Year: 2024
Subjects: subject: Audio and Speech Processing (eess.AS)
subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: Sound (cs.SD)
subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: In numerous inverse problems, state-of-the-art solving strategies involve training neural networks from ground truth and associated measurement datasets that, however, may be expensive or impossible to collect. Recently, self-supervised learning techniques have emerged, with the major advantage of no longer requiring ground truth data. Most theoretical and experimental results on self-supervised learning focus on linear inverse problems. The present work aims to study self-supervised learning for the non-linear inverse problem of recovering audio signals from clipped measurements. An equivariance-based selfsupervised loss is proposed and studied. Performance is assessed on simulated clipped measurements with controlled and varied levels of clipping, and further reported on standard real music signals. We show that the performance of the proposed equivariance-based self-supervised declipping strategy compares favorably to fully supervised learning while only requiring clipped measurements alone for training.
HENRI: High Efficiency Negotiation-based Robust Interface for Multi-party Multi-issue Negotiation over the Internet
Creators: name: Deochake, Saurabh
name: Kanth, Shashank
name: Chakraborty, Subhadip
name: Sarode, Suresh
name: Potdar, Vidyasagar
name: Mukhopadhyay, Debajyoti
Publisher: name: arXiv
Year: 2022
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Multiagent Systems (cs.MA)
subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences
subject: I.2.11

description: This paper proposes a framework for a full fledged negotiation system that allows multi party multi issue negotiation. It focuses on the negotiation protocol to be observed and provides a platform for concurrent and independent negotiation on individual issues using the concept of multi threading. It depicts the architecture of an agent detailing its components. The paper sets forth a hierarchical pattern for the multiple issues concerning every party. The system also provides enhancements such as the time-to-live counters for every advertisement, refinement of utility considering non-functional attributes, prioritization of issues, by assigning weights to issues.
description: CUBE '12: Proceedings of the CUBE International Information Technology Conference. arXiv admin note: substantial text overlap with arXiv:1206.5884
title: « Comment pouvons-nous, au cycle 1, sensibiliser les élèves au développement durable par le jeu ? »
title: « Comment pouvons-nous, au cycle 1, sensibiliser les élèves au développement durable par le jeu ? »
titleType: AlternativeTitle
Creators: name: Brêchet, Sarah
name: Zogg, Vanina
Publisher: name: Unknown
Year: 0
Subjects: subject: Développement durable
subject: éducation en vue du développement durable
subject: environnement
subject: prospective
subject: démarche réflexive
subject: ludification

description: Cette recherche qualitative de type recherche-action a été mise en place dans une classe de 2H. En lien avec la situation actuelle, nous avons souhaité, par le biais de ce travail, analyser la possibilité d’éduquer de jeunes élèves au développement durable par le jeu. Cette modalité, fréquemment utilisée dans le premier cycle de la scolarité, a permis de rendre les apprentissages ludiques et accessibles pour les enfants. Notre choix s’est porté sur le memory et le jeu de l’oie, ces derniers mobilisant plusieurs aptitudes tout en étant facilement compréhensibles pour le public cible. Nous avons appliqué la structure de ces jeux en y insérant la thématique des matériaux et du tri des déchets. Dans les résultats, nous constatons que notre séquence d’enseignement interdisciplinaire permet de travailler un grand nombre de capacités transversales telles que les stratégies d’apprentissages, la collaboration et la communication (CIIP, 2010). Elle engage également la sensibilisation à l’éducation en vue du développement durable au travers de diverses composantes du plan d’étude romand. Premièrement, « en dégageant certaines règles élémentaires à respecter pour préserver l’environnement » dans la formation générale (ibid). Ensuite, « en distinguant les éléments du monde naturel des objets manufacturés » (ibid), en sciences de la nature. Finalement, au niveau de certaines compétences en géographie telles que percevoir, décrire, classer, catégoriser, et se questionner (ibid). En outre, il a été possible d’acquérir du vocabulaire en jouant, ce qui a rendu l’activité indéniablement plus motivante. Nous avons pu vérifier ce nouvel apprentissage par un schéma heuristique effectué par les élèves en fin de séquence. Nous avons également remis un questionnaire aux enfants qui souligne les apprentissages effectifs de notre enseignement. Cependant, la séquence tend vers la dimension des écogestes, laissant peu de place à la démarche réflexive. Afin de se situer pleinement dans l’éducation en vue du développement durable, il est donc impératif de prolonger la séquence d’enseignement.
EOSC Interoperability Framework Reference Architecture
Creators: name: , Eriksson
name: Sanden, Van De
name: , Kurowski
name: , Coppens
name: , Corcho
name: , Ojsteršek
name: , Choirat
Publisher: name: Zenodo
Year: 2021
Subjects: EOSC, Interoperability Framework, EOSC-IF, archimate

description: The EOSC Interoperability Framework Reference Architecture contains framework definitions and uses abstract Building Blocks as a tool to group functionality that will be needed to meet the requirements for the EOSC Interoperability Framework (EOSC-IF). The base of the EOSC-IF Reference Architecture has been derived from the European Interoperability Reference Architecture (EIRA) developed by ISA2. This is made available as an Archimate file.
Gender Inequities Throughout STEM: Compared to Men, Women with Significantly Higher Grades Drop STEM Majors
Creators: name: Maries, Alexandru
name: Whitcomb, Kyle
name: Singh, Chandralekha
Publisher: name: arXiv
Year: 2022
Subjects: subject: Physics Education (physics.ed-ph)
subject: FOS: Physical sciences

description: Efforts to promote equity and inclusion using evidence-based approaches are vital to correcting long-standing societal inequities that have disadvantaged women and discouraged them from pursuing studies, including in many STEM disciplines. We used 10 years of institutional data from a large public university to investigate the grade point average trends in different STEM disciplines for men and women who declared a major and then either completed the degree or dropped the major after declaring it. We found alarming trends, such as that women who dropped majors on average earned higher grades than men, and in some STEM majors, women who dropped the majors were earning comparable grades to men who persisted in those majors. While these quantitative findings call for a deeper understanding of the reasons women and men drop a major, we provide suggestions for approaches to make learning environments more equitable and inclusive so that traditionally excluded stereotyped groups can have a higher sense of belonging and thrive.
description: 12 pages 2 figures. arXiv admin note: substantial text overlap with arXiv:2004.00560
Machine Learning Method for Functional Assessment of Retinal Models
Creators: name: Papadopoulos, Nikolas
name: Melanitis, Nikos
name: Lozano, Antonio
name: Soto-Sanchez, Cristina
name: Fernandez, Eduardo
name: Nikita, Konstantina S
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Challenges in the field of retinal prostheses motivate the development of retinal models to accurately simulate Retinal Ganglion Cells (RGCs) responses. The goal of retinal prostheses is to enable blind individuals to solve complex, reallife visual tasks. In this paper, we introduce the functional assessment (FA) of retinal models, which describes the concept of evaluating the performance of retinal models on visual understanding tasks. We present a machine learning method for FA: we feed traditional machine learning classifiers with RGC responses generated by retinal models, to solve object and digit recognition tasks (CIFAR-10, MNIST, Fashion MNIST, Imagenette). We examined critical FA aspects, including how the performance of FA depends on the task, how to optimally feed RGC responses to the classifiers and how the number of output neurons correlates with the model's accuracy. To increase the number of output neurons, we manipulated input images - by splitting and then feeding them to the retinal model and we found that image splitting does not significantly improve the model's accuracy. We also show that differences in the structure of datasets result in largely divergent performance of the retinal model (MNIST and Fashion MNIST exceeded 80% accuracy, while CIFAR-10 and Imagenette achieved ~40%). Furthermore, retinal models which perform better in standard evaluation, i.e. more accurately predict RGC response, perform better in FA as well. However, unlike standard evaluation, FA results can be straightforwardly interpreted in the context of comparing the quality of visual perception.
description: Accepted at 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
title: Collective mode in BaNi2As2
Creators: name: Mejaŝ, Arjan
Publisher: name: TU Wien
Year: 2021
Subjects: subject: Collective mode in BaNi2As2

description: BaNi2As2 is metallic compound, susceptible to density-wave formation. Previous studies on BaNi2As2 have revealed the existence of two types of periodic lattice distortion above and below the tetragonal to triclinic structural phase transition (T = 137 K), suggesting Charge-density-wave (CDW) order to compete with superconductivity. In order to study the density-wave formation and determine its origin, we have applied within the framework of this thesis, several experimental methods on high-quality BaNi2As2 single crystals.First, Laue diffraction was used to determine the crystal structure and to orient the BaNi2As2 single crystals. Next, transport measurements of resistivity were undertaken to carefully characterize the samples and investigate the compound’s behaviour at low temperatures, while being exposed to external magnetic field. Those measurements have confirmed the presence of the phase transition (from tetragonal to triclinic phase) at around 130 K upon cooling. Finally, on highest quality samples, time-resolved femtosecond optical spectroscopy was applied. Aim was to reveal the existence of collective CDW amplitude modes and to study their origin. The evolution of these modes through the structural phase transition implies the CDW order in the triclinic phase smoothly evolves from the unidirectional CDW in the tetragonal phase and suggests that the CDW order drives the structural phase transition.
A simulation framework for connecting In-Body nano communication with Out-of-Body devices
Creators: name: Küstner, Anke
Publisher: name: Universität Paderborn
Year: 2020

description: Heutzutage kann eine umfassende Anzahl an Erkrankungen mit medizinischen Behandlungen adressiert werden. Dennoch gibt es viele Krankheiten, die bishernoch nicht ausreichend oder sogar gar nicht behandelt werden können. Aufgrund dessen werden immer wieder neue medizinische Werkzeuge entwickelt wie zum Beispiel Netzwerke bestehend aus Nanorobotern, die man im Körper einsetzen kann um Messungen vornehmen zu können oder sogar an entdeckten Problemen zuarbeiten. Diese Arbeit befasst sich damit, wie solche Netzwerke von außen durch eine Schnittstelle am Körper kontrolliert werden können. Aus ethischen Gründen ist es nicht vertretbar Experimente an Lebewesen auszuführen, daher müssen solche Experimente simuliert werden, um Ergebnisse zu erhalten. Im Zuge dieser Arbeit ist ein Simulations-Framework entwickelt worden, das eine erste Annährung an ein solches Kommunikationsnetzwerk darstellt. Während die Verbindung zwischen außer-körperlichen Geräten und einem Gateway durch eine LR-WPAN Verbindung implementiert wurde, wurden die Verbindung zwischen einem Gateway und den Nanorobotern und die Verbindung zwischen Nanorobotern selber durch einen abstrakteren Ansatz simuliert, der es ihnen nur erlaubt die Nachricht untereinander auszutauschen, wenn sie in der Nähe voneinander sind. Zusätzlich wurde BVS verwendet um das kardiovaskuläre System eines Menschens zu simulieren. In einer ersten Evaluierung des Systems konnten Trends für die Latenz, die Anzahl der Zwischenstationen einer Nachricht und die Anzahl der Blutgefäße, in denen medzinische Auffälligkeiten zuverlässig gefunden werden können, entdeckt werden.
description: Since our mankind will always be facing struggle against diseases and illnesses, it is crucial to continuously research on and develop new approaches and tools for medical treatments that enable us new insights and possibilities to cope with these medical issues. This thesis presents a promising tool, namely the connection between in-body nanonetworks and out-of-body devices, which give us insight into our body.These networks are able to do measurements within the body or eliminate detected problems, e.g., morbid cells. This thesis focuses on the controllability of nanobots from outside the body which is tested by building a simulation framework, because experiments in this field cannot be simply carried out on a human or animal body due to ethical reasons. A simulation framework was developed, which connects an out-of-body device to a gateway via a Low-Rate Wireless Personal Area Network(LR-WPAN) and provides the connection between a gateway and nanobots or only among nanobots with a proximity approach. In addition the simulation framework BloodVoyagerS (BVS) was used to simulate the cardiovascular system of a human body. In the evaluation trends were found on latency, hop count and the amount of blood vessels in which medical issues can be reliably detected.
A deep dive into distributive concession making and the likelihood of impasses in negotiations
Creators: name: Mertes, Marc
name: Kunz, Dana
name: Hüffmeier, Joachim
Publisher: name: TU Dortmund
Year: 2023
Subjects: subject: negotiation
subject: impasses
subject: distributive negotiation behavior
subject: negative internal attribution
subject: anger
subject: 150

description: Negotiation impasses can have severe negative consequences, but only little research attention has been devoted to investigating their causes. Studies on distributive concession making (i.e., high demands and low concessions) as a cause of impasses were inconclusive due to low sample sizes and methodological choices. Moreover, distributive concession making entails two hitherto fully entangled properties: reduction of conceded value and violation of the reciprocity norm. In our experiment, participants negotiated with a confederate who administered different concession patterns that allowed us to disentangle these properties. We found unambiguous evidence that distributive concession making increases the likelihood of impasses. This effect was driven by the reduction of conceded value rather than the violation of the reciprocity norm. Confrontation with distributive concession making led participants to develop negative internal attributions and anger, which mediated the effect of distributive concession making on the impasse rate. Our study contributes to a better understanding of the causes and underlying mechanisms of negotiation impasses.
description: Collabra: Psychology;9(1)
Supervised Learning based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comparative Study
Creators: name: Ahmad, Arslan
name: Mansoor, Atif Bin
name: Barakabitze, Alcardo Alex
name: Hines, Andrew
name: Atzori, Luigi
name: Walshe, Ray
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Machine Learning (cs.LG)
subject: Multimedia (cs.MM)
subject: FOS: Computer and information sciences

description: The Quality of Experience (QoE) based service management remains key for successful provisioning of multimedia services in next-generation networks such as 5G/6G, which requires proper tools for quality monitoring, prediction and resource management where machine learning (ML) can play a crucial role. In this paper, we provide a tutorial on the development and deployment of the QoE measurement and prediction solutions for video streaming services based on supervised learning ML models. Firstly, we provide a detailed pipeline for developing and deploying supervised learning-based video streaming QoE prediction models which covers several stages including data collection, feature engineering, model optimization and training, testing and prediction and evaluation. Secondly, we discuss the deployment of the ML model for the QoE prediction/measurement in the next generation networks (5G/6G) using network enabling technologies such as Software-Defined Networking (SDN), Network Function Virtualization (NFV) and Mobile Edge Computing (MEC) by proposing reference architecture. Thirdly, we present a comparative study of the state-of-the-art supervised learning ML models for QoE prediction of video streaming applications based on multiple performance metrics.
WaveTransfer: A Flexible End-to-end Multi-instrument Timbre Transfer with Diffusion
Creators: name: Baoueb, Teysir
name: Bie, Xiaoyu
name: Janati, Hicham
name: Richard, Gael
Publisher: name: arXiv
Year: 2024
Subjects: subject: Audio and Speech Processing (eess.AS)
subject: Sound (cs.SD)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: As diffusion-based deep generative models gain prevalence, researchers are actively investigating their potential applications across various domains, including music synthesis and style alteration. Within this work, we are interested in timbre transfer, a process that involves seamlessly altering the instrumental characteristics of musical pieces while preserving essential musical elements. This paper introduces WaveTransfer, an end-to-end diffusion model designed for timbre transfer. We specifically employ the bilateral denoising diffusion model (BDDM) for noise scheduling search. Our model is capable of conducting timbre transfer between audio mixtures as well as individual instruments. Notably, it exhibits versatility in that it accommodates multiple types of timbre transfer between unique instrument pairs in a single model, eliminating the need for separate model training for each pairing. Furthermore, unlike recent works limited to 16 kHz, WaveTransfer can be trained at various sampling rates, including the industry-standard 44.1 kHz, a feature of particular interest to the music community.
description: Accepted at MLSP 2024
Transformative potential of vertical farming - an urban planning investigation using multi-level perspective
Creators: name: Buscher, Jost
name: Bakunowitsch, Julija
name: Specht, Kathrin
Publisher: name: TU Dortmund
Year: 2023
Subjects: subject: vertical farming
subject: urban planning
subject: urban sustainability
subject: transformation research
subject: multi-level perspective
subject: 710
subject: Stadtplanung / Nachhaltigkeit / Vertikale Landwirtschaft

description: Due to different global trends, such as climate change and urbanization, challenges to the food supply in cities have become more permanent. As a new form of efficient and climate-resilient food production, vertical farming addresses these challenges but is not yet fully embedded in the context of urban planning. Thus, from the perspective of urban planning, this investigation aims to assess the potential of vertical farming in the context of large-scale transformation. Therefore, this paper uses the multi-level perspective. In this context, vertical farming is a so-called niche innovation at a lower level that forces establishment in the superordinate regime—here, urban planning. By using the strengths, weaknesses, opportunities, and threats (SWOTs) methodology, this paper presents the advantages and disadvantages of vertical farming, as well as its implications for urban planning. A final comparison of these aspects leads to six conditions paired with recommendations, which are considered necessary for the successful stabilization of this niche innovation.
description: Sustainability;15(22)
Application of Machine Learning-Based Pattern Recognition in IoT Devices: Review
Creators: name: Menter, Zachary
name: Tee, Wei
name: Dave, Rushit
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Machine Learning (cs.LG)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The Internet of things (IoT) is a rapidly advancing area of technology that has quickly become more widespread in recent years. With greater numbers of everyday objects being connected to the Internet, many different innovations have been presented to make our everyday lives more straightforward. Pattern recognition is extremely prevalent in IoT devices because of the many applications and benefits that can come from it. A multitude of studies has been conducted with the intention of improving speed and accuracy, decreasing complexity, and reducing the overall required processing power of pattern recognition algorithms in IoT devices. After reviewing the applications of different machine learning algorithms, results vary from case to case, but a general conclusion can be drawn that the optimal machine learning-based pattern recognition algorithms to be used with IoT devices are support vector machine, k-nearest neighbor, and random forest.
title: L’influence des pauses stimulantes et en mouvement sur la concentration des élèves de 4H
title: L’influence des pauses stimulantes et en mouvement sur la concentration des élèves de 4H
titleType: AlternativeTitle
Creators: name: Sallin, Alyssa
name: Decrausaz, Christelle
Publisher: name: Unknown
Year: 0
Subjects: subject: Cognition
subject: Comportement
subject: Concentration
subject: L’école bouge
subject: Mouvement
subject: Pauses actives

description: L’objectif de ce travail de mémoire est d'observer et d’analyser si l'introduction du mouvement en classe favorise la concentration des élèves. La question de recherche suivante se présente sous la forme suivante : En quoi des pauses stimulantes et en mouvement influencent-elles la concentration des élèves en 4H ? Afin d’offrir des éléments de réponse à celle-ci, un dispositif lié au mouvement est introduit en classe durant huit semaines. Il est basé sur des exercices collectifs tirés du site de « L’école bouge ». Deux analyses sont menées permettant une complémentarité de la recherche : une première étude sur les apprentissages et une deuxième sur le comportement des élèves. Plus précisément, il s’agit d’analyser les résultats d’activités cognitives effectuées par les élèves ainsi que des vidéos illustrant l'attitude des apprenants en classe. Ces derniers ont obtenu de meilleurs résultats aux activités effectuées après avoir expérimenté une pause active, en commettant moins d’erreurs. De manière parallèle, les indicateurs d’un manque de concentration observés en classe tels que se lever sans raison précise ou encore se lever sur sa chaise ont été moins présents lors des semaines avec une pause en mouvement. D’après les résultats obtenus, une influence de ces courts moments d’activité physique sur la faculté de concentration des jeunes apprenants de cette classe 4H peut être constatée. Finalement, d’après la présente étude menée et comme le soulignent de multiples auteurs tel que Vernier, l'introduction du mouvement en classe a de multiples bienfaits tant sur le plan cognitif que physique. Les pauses actives sont donc fortement encouragées en classe afin de répondre au besoin indéniable de bouger des élèves et ainsi favoriser leur disponibilité cognitive au profit des apprentissages.
Using canonical filter structures for designing inductive power transfer systems
Creators: name: VanderMeulen, Tristan Michael
Publisher: name: University of British Columbia
Year: 2022

description: The rapid growth of battery powered electronic devices continues to motivate research to improve charging methods that are compact and efficient. Wireless power is an attractive solution, as it eliminates the need to physically connect the battery powered device to a charger. The focus of this thesis is on the design of resonant inductive power transfer systems. The synthesis of the resonant coupling circuits is approached using canonical filter structures. In order to convert filters to inductive power transfer systems, impedance inverter theory is utilized to model the inductive power transfer coupling. The use of filter theory has not yet been used to derive shunt-shunt inductive power transfer systems; there are additional complications in the synthesis of the shunt-shunt topology related to higher order IPT networks. A solution is proposed, which allows for higher order filter networks to be converted to a shunt-shunt inductive power transfer system. The use of impedance inverter theory is examined as a method of compensation for variations in the spatial distance between resonators. Impedance inverters are used to represent the mutual coupling between the resonators, which shows how variations in the mutual coupling between resonators impacts the impedance level of the coupling link. Therefore, the input impedance to the system can be constant if the load resistance is varied to compensate for variations in spatial distance. As filter theory inherently has matched loads, it is shown that only the load resistance needs to be varied in the inductive power transfer system to compensate for spatial variation changes. This thesis concludes with the implementation of an end-to-end inductive power transfer system with a class F⁻¹ amplifier as a source. The class F⁻¹ source has not been explored extensively for IPT systems. Of specific interest in the system design was evaluating whether the shunt resonators in the coupling network could replace the output shunt resonator in the class F⁻¹ amplifier. When testing the configuration of the class F⁻¹ amplifier with only the shunt resonator of the IPT system, it was concluded further analysis into the configuration is necessary.
A "Distance Matters" Paradox: Facilitating Intra-Team Collaboration Can Harm Inter-Team Collaboration
Creators: name: Hu, Xinlan Emily
name: Hinds, Rebecca
name: Valentine, Melissa A.
name: Bernstein, Michael S.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: By identifying the socio-technical conditions required for teams to work effectively remotely, the Distance Matters framework has been influential in CSCW since its introduction in 2000. Advances in collaboration technology and practices have since brought teams increasingly closer to achieving these conditions. This paper presents a ten-month ethnography in a remote organization, where we observed that despite exhibiting excellent remote collaboration, teams paradoxically struggled to collaborate across team boundaries. We extend the Distance Matters framework to account for inter-team collaboration, arguing that challenges analogous to those in the original intra-team framework -- common ground, collaboration readiness, collaboration technology readiness, and coupling of work -- persist but are actualized differently at the inter-team scale. Finally, we identify a fundamental tension between the intra- and inter-team layers: the collaboration technology and practices that help individual teams thrive (e.g., adopting customized collaboration software) can also prompt collaboration challenges in the inter-team layer, and conversely the technology and practices that facilitate inter-team collaboration (e.g., strong centralized IT organizations) can harm practices at the intra-team layer. The addition of the inter-team layer to the Distance Matters framework opens new opportunities for CSCW, where balancing the tension between team and organizational collaboration needs will be a critical technological, operational, and organizational challenge for remote work in the coming decades.
description: Accepted at CSCW 2022 (The 25th ACM Conference on Computer-Supported Cooperative Work and Social Computing)
Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention
Creators: name: Xu, Rengan
name: Yang, Junjie
name: Xu, Yifan
name: Li, Hong
name: Liu, Xing
name: Shankar, Devashish
name: Zhang, Haoci
name: Liu, Meng
name: Li, Boyang
name: Hu, Yuxi
name: Tang, Mingwei
name: Zhang, Zehua
name: Zhang, Tunhou
name: Li, Dai
name: Chen, Sijia
name: Musumeci, Gian-Paolo
name: Zhai, Jiaqi
name: Zhu, Bill
name: Yan, Hong
name: Reddy, Srihari
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: The integration of hardware accelerators has significantly advanced the capabilities of modern recommendation systems, enabling the exploration of complex ranking paradigms previously deemed impractical. However, the GPU-based computational costs present substantial challenges. In this paper, we demonstrate our development of an efficiency-driven approach to explore these paradigms, moving beyond traditional reliance on native PyTorch modules. We address the specific challenges posed by ranking models' dependence on categorical features, which vary in length and complicate GPU utilization. We introduce Jagged Feature Interaction Kernels, a novel method designed to extract fine-grained insights from long categorical features through efficient handling of dynamically sized tensors. We further enhance the performance of attention mechanisms by integrating Jagged tensors with Flash Attention. Our novel Jagged Flash Attention achieves up to 9x speedup and 22x memory reduction compared to dense attention. Notably, it also outperforms dense flash attention, with up to 3x speedup and 53% more memory efficiency. In production models, we observe 10% QPS improvement and 18% memory savings, enabling us to scale our recommendation systems with longer features and more complex architectures.
description: 3 pages, 2 figures
title: Математика и информатика. Ч.1
title: Учебное пособие
titleType: Subtitle
Creators: name: Чекин А.Л.
name:  Босова Л.Л.
name:  Добротворский А.С.
name:  Иванова Е.А.
name:  Лаврова Н.Н.
name:  Локшин А.А.
name:  Тимошенко В.В.
Publisher: name: Московский педагогический государственный университет
Year: 2019

description: Учебное пособие предназначено для студентов факультетов начального образования педагогических вузов, обучающихся по образовательной программе бакалавриата по направлению 44.03.01 Педагогическое образование (профиль «Начальное образование») и направлению 44.03.05 Педагогическое образование (с двумя профилями подготовки) при условии, что первым профилем является профиль «Начальное образование». В первую часть пособия включены разделы программы, которые относятся к дискретной математике. Каждая глава кроме адаптированного теоретического материала содержит еще и достаточно большой перечень задач, которые можно использовать на практических занятиях.
description: The manual is intended for students of primary education of pedagogical universities students enrolled in the educational program of the bachelor of 44.03.01 Pedagogical education (profile "Primary education") and the direction 44.03.05 Pedagogical education (with two training profiles) provided that the first profile is the profile "Primary education". In the first part of the Handbook included sections of the program that relate to discrete mathematics. Each Chapter also adapted the theoretical material contains a large list of tasks that you can use in practical classes.
Neutrino Flavor Conversions in High-Density Astrophysical and Cosmological Environments
Creators: name: Capozzi, Francesco
name: Saviano, Ninetta
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Despite being a well understood phenomenon in the context of current terrestrial experiments, neutrino flavor conversions in dense astrophysical environments probably represent one of the most challenging open problems in neutrino physics. Apart from being theoretically interesting, such a problem has several phenomenological implications in cosmology and in astrophysics, including the primordial nucleosynthesis of light elements abundance and other cosmological observables, nucleosynthesis of heavy nuclei and the explosion of massive stars. In this review, we briefly summarize the state of the art on this topic, focusing on three environments: early universe, core-collapse supernovae and compact binary mergers.
description: 10 pages, 1 figure, short review accepted for publication in the special issue "Neutrinos from Astrophysical Sources" of the journal "Universe"