nils-herrmann/clean_scirepeval huggingface dataset:
Functional, structural and molecular plasticity of mammalian skeletal muscle in response to exercise stimuli
Venue: Journal of Experimental Biology
Year: 2006

Biological systems have acquired effective adaptive strategies to cope with physiological challenges and to maximize biochemical processes under imposed constraints. Striated muscle tissue demonstrates a remarkable malleability and can adjust its metabolic and contractile makeup in response to alterations in functional demands. Activity dependent muscle plasticity therefore represents a unique model to investigate the regulatory machinery underlying phenotypic adaptations in a fully differentiated tissue. Adjustments in form and function of mammalian muscle have so far been characterized at a descriptive level, and several major themes have evolved. These imply that mechanical, metabolic and neuronal perturbations in recruited muscle groups relay to the specific processes being activated by the complex physiological stimulus of exercise. The important relationship between the phenotypic stimuli and consequent muscular modifications is reflected by coordinated differences at the transcript level that match structural and functional adjustments in the new training steady state. Permanent alterations of gene expression thus represent a major strategy for the integration of phenotypic stimuli into remodeling of muscle makeup. A unifying theory on the molecular mechanism that connects the single exercise stimulus to the multi faceted adjustments made after the repeated impact of the muscular stress remains elusive. Recently, master switches have been recognized that sense and transduce the individual physical and chemical perturbations induced by physiological challenges via signaling cascades to downstream gene expression events. Molecular observations on signaling systems also extend the long known evidence for desensitization of the muscle response to endurance exercise after the repeated impact of the stimulus that occurs with training. Integrative approaches involving the manipulation of single factors and the systematic monitoring of downstream effects at multiple levels would appear to be the ultimate method for pinpointing the mechanism of muscle remodeling. The identification of the basic relationships underlying the malleability of muscle tissue is likely to be of relevance for our understanding of compensatory processes in other tissues, species and organisms.
Exploring self compassion and eudaimonic well being with young women involved in sport and exercise
Year: 2011

Sport and exercise can be emotionally difficult for young women. A potential resource to transform their experiences is self compassion (SC) treating oneself with kindness and understanding in the face of pain and failure (Neff, 2003) Although associated with a variety of well being indices, SC has largely been neglected in the eudaimonic tradition that reflects psychological flourishing at one's maximal potential (Ryff, 1989, 1995) This study explored the association between SC and eudaimonic well being (EWB) in young women involved in sport and exercise. Based on SC and EWB theoretical perspectives, the mediating associations of passivity, responsibility, initiative, and self determination on the SC EWB relationship were also considered. Participants N =125; M age =18.94) completed an online questionnaire of valid and reliable measures. SC and EWB were positively correlated r .71, p R 2 .62 to .68) The data were also consistent with models of partial mediation, suggesting that passivity, responsibility, initiative, and self determination may be plausible mechanism variables of the SC EWB relationship. Findings support the proposition that SC does not lead to complacency, but rather entails engaging in necessary actions for optimal functioning and well being (Neff, 2009) Acknowledgments: Supported by the Social Sciences and Humanities Research Council of Canada (SSHRC)
Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases
Venue: PLoS medicine
Year: 2008

Mathematical modelling of infectious diseases transmitted by the respiratory or close contact route (e.g. pandemic influenza) is increasingly being used to determine the impact of possible interventions. Although mixing patterns are known to be crucial determinants for model outcome, researchers often rely on a priori contact assumptions with little or no empirical basis. We conducted a population based prospective survey of mixing patterns in eight European countries using a common paper diary methodology. Methods and Findings 7,290 participants recorded characteristics of 97,904 contacts with different individuals during one day, including age, sex, location, duration, frequency, and occurrence of physical contact. We found that mixing patterns and contact characteristics were remarkably similar across different European countries. Contact patterns were highly assortative with age: schoolchildren and young adults in particular tended to mix with people of the same age. Contacts lasting at least one hour or occurring on a daily basis mostly involved physical contact, while short duration and infrequent contacts tended to be nonphysical. Contacts at home, school, or leisure were more likely to be physical than contacts at the workplace or while travelling. Preliminary modelling indicates that 5 to 19 year olds are expected to suffer the highest incidence during the initial epidemic phase of an emerging infection transmitted through social contacts measured here when the population is completely susceptible.  To our knowledge, our study provides the first large scale quantitative approach to contact patterns relevant for infections transmitted by the respiratory or close contact route, and the results should lead to improved parameterisation of mathematical models used to design control strategies.
Frequency Domain Thermal Modeling and Characterization of Power Semiconductor Devices
Venue: IEEE Transactions on Power Electronics
Year: 2016

The thermal behavior of power electronics devices has been a crucial design consideration, because it is closely related to the reliability and also the cost of the converter system. Unfortunately, the widely used thermal models based on lumps of thermal resistances and capacitances have their limits to correctly predict the device temperatures, especially when considering the thermal grease and heat sink attached to the power semiconductor devices. In this paper, frequency domain approach is applied to the modeling of the thermal dynamics for power devices. The limits of the existing RC lump based thermal networks are explained from a point of view of frequency domain. Based on the discovery, a more advanced thermal model developed in the frequency domain is proposed, which can be easily established by characterizing the slope variation from the bode diagram of the typically used Foster thermal network. The proposed model can be used to predict not only the internal temperature behaviors of the devices but also the behaviors of the heat flowing out of the devices. As a result, more correct estimation of device temperature can be achieved when considering the cooling conditions for the devices.
Research on University Open Laboratory Management System Based on " Internet "
Year: 2019

The overall scheme designed in this paper includes building a wireless sensor network to realize laboratory environmental information collection, using intelligent terminal equipment to realize intelligent control and asset management of the laboratory, access control card, intelligent lighting adjustment, temperature and humidity monitoring, and equipment information management. Set up a big data platform to achieve the collection of laboratory digital information, mining and analyzing laboratory data, and providing decision support for the intelligent management of laboratories. Through the Android mobile terminal, the visual adjustment of each part of the function is realized, and the remote control provides the system access of the teacher, the manager and the student, realizes the teacher's inspection of the student's attendance, and the manager queries the use of the laboratory and the experimental teaching instrument. Student online appointments and other functions.
Pengaruh Lingkungan Keluarga, Gaya Hidup, Konsep Diri Dan Pergaulan Teman Sebaya Terhadap Perilaku Konsumtif Siswa Kelas XI IPS SMA Negeri 12 Padang.
Year: 2018

Penelitian ini bertujuan untuk menganalisis 1) pengaruh lingkungan keluarga secara parsial terhadap perilaku konsumtif, 2) pengaruh gaya hidup secara parsial terhadap perilaku konsumtif, 3) pengaruh konsep diri secara parsial terhadap perilaku konsumtif, 4) pengaruh pergaulan teman sebaya secara parsial terhadap perilaku konsumtif, 5) pengaruh lingkungan keluarga, gaya hidup, konsep diri, pergaulan teman sebaya secara stimultan terhadap perilaku konsumtif siswa kelas XI IPS SMA Negeri 12 Padang. Jenis penelitian ini adalah penelitian asosiatif. Populasi dalam penelitian ini adalah semua siswa siswi kelas XI IPS SMA Negeri 12 Padang berjumlah 112 sampel. Pengambilan sampel menggunakan teknik proporsional random sampling. Instrumen yang digunakan untuk penelitian berupa angket tertutup dengan digunakan uji Regresi Linear Berganda dan uji hipotesa dengan uji t dan uji F. Hasil penelitian menunjukan bahwa: (1) terdapat pengaruh yang signifikan antara lingkungan keluarga secara parsial terhadap perilaku konsumtif dengan nilai koefisien 0,176 dan nilai thitung sebesar 3,303>ttabel sebesar 1,982; (2) terdapat pengaruh yang signifikan antara gaya hidup secara parsial terhadap perilaku konsumtif dengan nilai koefisien 0,127 dan nilai thitung sebesar 3,520>ttabel sebesar 1,982 (3) terdapat pengaruh yang signifikan konsep diri secara parsial terhadap perilaku konsumtif dengan nilai koefisien 0,157 dan nilai thitung sebesar 2,260>ttabel sebesar 1,982; (4) terdapat pengaruh yang signifikan pergaulan teman sebaya secara parsial terhadap perilaku konsumtif dengan nilai koefisien 0,201 dan nilai thitung sebesar 3,331>ttabel sebesar 1,982; (5) terdapat pengaruh yang signifikan antara lingkungan keluarga, gaya hidup, konsep diri dan pergaulan teman sebaya secara stimultan terhadap perilaku konsumtif dengan Fhitung20,494>Ftabel2,69. Disarankan pada kepada siswa untuk bisa merubah perilaku konsumtif dengan tidak membeli produk yang tidak sesuai dengan kebutuhan dan lebih memprioritaskan membeli bahan atau produk sesuai dengan kebutuhan. Diharapkan bagi siswa untuk selalu dirumah setelah pulang dari sekolah dengan membuat suasana nyaman. Siswa diharapkan untuk merubah gaya hidup yang boros dengan tidak membeli sesuatu yang tidak dibutuhkan. Siswa diharapkan untuk lebih mampu menyelesaikan masalah yang dialami dengan cara berfikir positif dan lebih tenang tanpa adanya kekerasan. Bagi siswa diharapkan agar mengurangi acara berkumpul dengan teman sebaya hanya untuk memamerkan produk yang baru dibeli dan lebih mengarahkan kegiatan positif seperti belajar kelompok.
Optimizing search user interfaces and interactions within professional social networks
Year: 2016

Professional social networks (PSNs) play the key role in the online social media ecosystem, generate hundreds of terabytes of new data per day, and connect millions of people. To help users cope with the scale and influx of new information, PSNs provide search functionality. However, most of the search engines within PSNs today still provide only keyword queries, basic faceted search capabilities, and uninformative query biased snippets overlooking the structured and interlinked nature of PSN entities. This results in siloed information, inefficient results presentation, and suboptimal search user experience (UX) In this thesis, we reconsider and comprehensively study input, control, and presentation elements of the search user interface (SUI) to enable more effective and efficient search within PSNs. Specifically, we demonstrate that: (1) named entity queries (NEQs) and structured queries (SQs) complement each other helping PSN users search for people and explore the PSN social graph beyond the first degree; (2) relevance aware filtering saves users' efforts when they sort jobs, status updates, and people by an attribute value rather than by relevance; (3) extended informative structured snippets increase job search effectiveness and efficiency by leveraging human intelligence and exposing the most critical information about jobs right on a search engine result page (SERP) and (4) non redundant delta snippets, which different from traditional query biased snippets show on a SERP information relevant but complementary to the query, are more favored by users performing entity (e.g. people) search, lead to faster task completion times and better search outcomes. Thus, by modeling the structured and interlinked nature of PSN entities, we can optimize the query refineview interaction loop, facilitate serendipitous network exploration, and increase search utility. We believe that the insights, algorithms, and recommendations presented in this thesis will serve the next generation designers of SUIs within and beyond PSNs and shape the (structured) search landscape of the future.
Culturally Responsive Approaches for Addressing ADHD Within Multi tiered Systems of Support
Venue: Current Psychiatry Reports
Year: 2020

Limited work has emphasized cultural responsiveness when working with families and children with attention deficit/hyperactivity disorder (ADHD) from diverse backgrounds. We present a primer for psychiatrists, psychologists, and other mental health professionals on the implementation of culturally responsive practices within a multi tiered system of support (MTSS) framework when collaborating with schools.  Individuals with ADHD demonstrate unique behavioral challenges that affect school and home functioning. As a framework to address the needs of all children with academic and behavioral issues, many public schools have adopted MTSS. Emerging findings on cultural adaptations of evidence based interventions for ADHD within MTSS are promising.  Through a comprehensive tiered approach, this review focuses on (1) initial behavior screening and prevention, (2) implementation of evidence based interventions tailored to the child's development and family culture, and (3) collaboration between psychiatrists, psychologists, school personnel, and families regarding evaluation of outcomes for children with ADHD, particularly when pharmacological treatment is considered. Engaging in these approaches can promote culturally responsive practices and improve the quality of services provided to children with ADHD.
INFLUENCE OF GINGER POWDER ON DOUGH RHEOLOGICAL PROPERTIES AND BREAD QUALITY
Year: 2020

In this study the rheological properties of wheat flour dough with different levels of ginger powder (0, 2, 4 and 6% were investigated. Mixolab and Alveograph devices were used for evaluating the rheological properties of the dough. The bread making test was further performed, and the specific volume, firmness, sensorial analysis, phenolic contents and radical scavenging activity were determined for breads characterization. The increase of addition level of ginger into wheat flour impacted the water absorption, dough development time, stability and dough resistance to deformation. Moreover, the starch gelatinization, stability of the gel during heating and starch retrogradation after dough cooling decreased with the increase of the levels of wheat flour substitution by ginger. Lower specific volume and higher crumb firmness were obtained for breads with higher levels of ginger. Among the investigated samples the highest total phenol contents and radical scavenging activity were registered for bread with 6% ginger.
Classification Schemas for Artificial Intelligence Failures
Venue: ArXiv
Year: 2019

In this paper we examine historical failures of artificial intelligence (AI) and propose a classification scheme for categorizing future failures. By doing so we hope that (a) the responses to future failures can be improved through applying a systematic classification that can be used to simplify the choice of response and (b) future failures can be reduced through augmenting development lifecycles with targeted risk assessments.
Modelling the anaerobic digestion of solid organic waste Substrate characterisation method for ADM1 using a combined biochemical and kinetic parameter estimation approach.
Venue: Waste management
Year: 2016

This work proposes a novel and rigorous substrate characterisation methodology to be used with ADM1 to simulate the anaerobic digestion of solid organic waste. The proposed method uses data from both direct substrate analysis and the methane production from laboratory scale anaerobic digestion experiments and involves assessment of four substrate fractionation models. The models partition the organic matter into a mixture of particulate and soluble fractions with the decision on the most suitable model being made on quality of fit between experimental and simulated data and the uncertainty of the calibrated parameters. The method was tested using samples of domestic green and food waste and using experimental data from both short batch tests and longer semi continuous trials. The results showed that in general an increased fractionation model complexity led to better fit but with increased uncertainty. When using batch test data the most suitable model for green waste included one particulate and one soluble fraction, whereas for food waste two particulate fractions were needed. With richer semi continuous datasets, the parameter estimation resulted in less uncertainty therefore allowing the description of the substrate with a more complex model. The resulting substrate characterisations and fractionation models obtained from batch test data, for both waste samples, were used to validate the method using semi continuous experimental data and showed good prediction of methane production, biogas composition, total and volatile solids, ammonia and alkalinity.
Scalable and Detail Preserving Ground Surface Reconstruction from Large 3D Point Clouds Acquired by Mobile Mapping Systems
Year: 2014

The currently existing mobile mapping systems equipped with active 3D sensors allow to acquire the environment with high sampling rates at high vehicle velocities. While providing an effective solution for environment sensing over large scale distances, such acquisi tion provides only a discrete representation of the geometry. Thus, a continuous map of the underlying surface must be built. Mobile acquisition introduces several constraints for the state of the art surface reconstruction algorithms. Smoothing becomes a difficult task for recovering sharp depth features while avoiding mesh shrinkage. In addition, interpolation based techniques are not suitable for noisy datasets acquired by Mobile Laser Scanning (MLS) systems. Furthermore, scalability is a major concern for enabling real time rendering over large scale distances while preserving geometric details. This paper presents a fully automatic ground surface recon struction framework capable to deal with the aforementioned constraints. The proposed method exploits the quasi flat geometry of the ground throughout a morphological segmentation algorithm. Then, a planar Delaunay triangulation is applied in order to reconstruct the ground surface. A smoothing procedure eliminates high frequency peaks, while preserving geometric details in order to provide a regular ground surface. Finally, a decimation step is applied in order to cope with scalability constraints over large scale distances. Experimental results on real data acquired in large urban environments are presented and a performance evaluation with respect to ground truth measurements demonstrate the effectiveness of our method.
Face Behavior a la carte: Expressions, Affect and Action Units in a Single Network
Venue: ArXiv
Year: 2019

Automatic facial behavior analysis has a long history of studies in the intersection of computer vision, physiology and psychology. However it is only recently, with the collection of large scale datasets and powerful machine learning methods such as deep neural networks, that automatic facial behavior analysis started to thrive. Three of its iconic tasks are automatic recognition of basic expressions (e.g. happy, sad, surprised) estimation of continuous emotions (e.g. valence and arousal) and detection of facial action units (activations of e.g. upper/inner eyebrows, nose wrinkles) Up until now these tasks have been mostly studied independently collecting a dataset for the task. We present the first and the largest study of all facial behaviour tasks learned jointly in a single multi task, multi domain and multi label network, which we call FaceBehaviorNet. For this we utilize all publicly available datasets in the community (around 5M images) that study facial behaviour tasks in the wild. We demonstrate that training jointly an end to end network for all tasks has consistently better performance than training each of the single task networks. Furthermore, we propose two simple strategies for coupling the tasks during training, co annotation and distribution matching, and show the advantages of this approach. Finally we show that FaceBehaviorNet has learned features that encapsulate all aspects of facial behaviour, and can be successfully applied to perform tasks (compound emotion recognition) beyond the ones that it has been trained in a zero and few shot learning setting.
The DEA Model of Industrial Restructuring and Dominant Industry for Resource based Cities
Venue: 2018 5th International Conference on Industrial Economics System and Industrial Security Engineering (IEIS)
Year: 2018

For a long time, resource based cities in China have made a great contribution to the development of the national economy. However, due to the development path, the vast majority of Chinese resource based cities have begun to be confronted with a series of problems. Meanwhile, the decline of leading industries in resource based cities has brought about economic and social problems. In this situation, the study on how to implement industrial restructuring in resource based cities becomes a very important issue, and it is also the content and purpose of this paper. Upon analyzing the basic situation of Hengyang City, this paper then mainly discussed the city's industrial restructuring. The paper proposes the principles and the best mathematically derived mode of industrial transformation of Hengyang City. Using DEA model, this paper made an analysis on the selection of alternative industries in the industrial transformation process and proposed the significance, suggestions as well as the support system of industrial transformation of it. According to specific problems under study, some questions worth further study in this area were also discussed.
identifikasi sumber logam yang terkandung pada SPM (suspended particulate matter) di Kecamatan Paiton Kabupaten Probolinggo denga Aplikasi Positive Matrix Factorization (PMF)
Year: 2018

Perkembangan Industri dan kegiatan manusia di Kecamatan Paiton yang sangat besar menyebabkan masalah lingkungan yang berbahaya yaitu, pencemaran udara yang disebabkan oleh Suspended Particulate Matter. Untuk itu penelitian ini bertujuan untuk mengidentifikasi dan menentukan sumber sumber potensial pada SPM di Kecamatan Paiton. Penentuan sumber dilakukan dengan model reseptor yang dikeluarkan oleh EPA yaitu PMF v 5.0. sebelum melakukan analisa kontribusi sumber, pertama sampel SPM akan dikumpulkan dengan menggunakan HVAS di Kecamatan Paiton. Setelah itu sampel di analisa kandungan logam dengan menggunakan alat ICP MS, dan barulah data input berupa data konsentrasi SPM beserta konsentrasi logam didalamnya, dan data ketidakpastian konsentrasi. Berdasarkan hasil pengukuran konsentrasi SPM, Kecamatan Paiton memiliki konsentrasi PM tertinggi dengan rata rata konsentrasi 150,34 mg/Nm3, Berdasarkan hasil model PMF v 5.0. didapatkan 3 faktor sumber yang diyakini berkontribusi terhadap konsentrasi PM di tiga lokasi. Tiga faktor sumber tersebut ialah PLTU garam laut (41,3% Debu tanah, debu jalan, dan pembakaran biomassa (41,1% serta kendaraan bermotor (17,6%