nils-herrmann/clean_scirepeval huggingface dataset:
Industry Clusters and Organizational Prototypes: Evidence From the Franconian Brewing Industry
Year: 2019

In this article, we argue that in addition to facilitating organizational learning and specialization, an industry cluster related to tradition or to the practice of a craft influences audience expectations through the definition of the prototypical features that define an organizational form. Analyzing the population of northern Bavarian (Franconian) breweries, we show that compliance with a prototype involves multiple dimensions and depends on an organization's location in geographic space with reference to the center of the industry cluster. Using qualitative interviews, archival data, and a survey of consumers, we provide evidence that as distance from the cluster center increases, organizations are more likely to deviate from the prototype and suffer fewer of the negative consequences that result from such deviations.
Review of the molecular and crystal correlations on sensitivities of energetic materials.
Venue: Journal of hazardous materials
Year: 2020

Highly efficient design on the levels of molecule and crystal, as well as formulation, is highly desired for accelerating the development of energetic materials (EMs) Sensitivity is one of the most important characteristics of EMs and should be compulsorily considered in the design. However, owing to multiple factors responsible for the sensitivity, it usually undergoes a low predictability. Thus, it becomes urgent to clarify which factors govern the sensitivity and what is the importance of these factors. The present article focuses upon the progress of the molecular and crystal correlations on the sensitivity, and the molecule based numerical models for sensitivity prediction in the past decades. On the molecular level, composition, geometric structure, electronic structure, energy and reactivity can be correlated with the sensitivity; while the sensitivity can be also related with molecular packing pattern, intermolecular interaction, crystal morphology, crystal size and distribution, crystal surface/interface and crystal defect on the crystal level. And most of these factors, in particle on the crystal level, have been employed as variables in numerical models for predicting sensitivity of categorized EMs. Besides, we stress that more attention should be paid to the sensitivity correlations on the inherent structures of EMs, molecule and crystal packing, because they can be readily dealt by molecular simulations nowadays, facilitating to reveal the physical nature of sensitivity.
Deep Learning: The Good, the Bad, and the Ugly.
Venue: Annual review of vision science
Year: 2019

Artificial vision has often been described as one of the key remaining challenges to be solved before machines can act intelligently. Recent developments in a branch of machine learning known as deep learning have catalyzed impressive gains in machine vision giving a sense that the problem of vision is getting closer to being solved. The goal of this review is to provide a comprehensive overview of recent deep learning developments and to critically assess actual progress toward achieving human level visual intelligence. I discuss the implications of the successes and limitations of modern machine vision algorithms for biological vision and the prospect for neuroscience to inform the design of future artificial vision systems. Expected final online publication date for the Annual Review of Vision Science, Volume 5 is September 16, 2019. Please see http:/www.annualreviews.org/page/journal/pubdates for revised estimates.
A bibliometric analysis of forensic entomology trends and perspectives worldwide over the last two decades (1998 2017)
Venue: Forensic science international
Year: 2019

Through bibliometric analysis, this study aimed to reveal worldwide research productivity and trends in forensic entomology over the last two decades (1998 2017) As "forensic entomology" is yet to be established as a Medical Subject Headings term, we used "forensic entomology" and "legal entomology" as topics in Web of Science Core Collection, Medline, and PubMed searches. Two independent investigators retrieved and evaluated 3165 articles. After determining the cutoff for publication year and excluding repeated or irrelevant articles, 1087 articles remained for analysis. In terms of papers published, the United States was the most productive among the 136 countries (and disputed regions) that contributed to forensic entomological research. Among the 179 journals that published all articles, two were considered core journals based on Bradford's Law (i.e. the two journals published the majority of relevant articles) Most studies focused on the order Diptera and family Calliphoridae. The most common topics were estimation of postmortem interval and species identification.
Un analisis critico al modelo aprendizaje servicio: Su implementacion en la Universidad Catolica de Temuco
Year: 2020

El objetivo del presente trabajo es identificar los elementos fundamentales del Modelo Aprendizaje Servicio (MAS) y su implementacion en el proceso educativo universitario. Se sustenta desde una metodologia cualitativa, sobre la base de una revision y analisis documental en relacion a definiciones teoricas y conceptuales del modelo. Esto se articulacon la experiencia en la Universidad Catolica de Temuco, que, asumiendo los cambios que ha experimentado la sociedad contemporanea, se ha comprometido en desarrollar nuevas formas de ensenanza aprendizaje y, en consecuencia, incorpora en su proyecto educativo la formacion basada en competencias. Como conclusion se sostiene que el MAS no solo permite que los estudiantes desarrollen sus habilidades y destrezas tecnicas, sino que ademasposibilita una comprension critica de la realidad y una articulacion de los conocimientos de diversos ambitos disciplinares aprendidos en la sala de clases con otros saberes, modos de hacer y formas de aprender.
114 Monitoring the impact of shade and housing on physiological response in finishing beef cattle during the summer months in the Southeastern United States
Year: 2020

A study was conducted to evaluate the effect of heat stress on blood gas parameters of beef steers finished with or without shade in the Southeastern United States. Thirty two steers (BW 453kg 4 kg) were assigned to one of four treatment groups including: inside with fans (CWF) inside no fans (CNF) outside with shade (SHADE) and outside without shade (OUT) All animals were placed into their treatment on d 10 and were given 10 days to acclimate. Animals were fed individually and served as the experimental unit. Animals were weighed and arterial blood was collected on d 10, 0, and 50. Data were analyzed in a completely randomized designed utilizing a one way ANOVA. Initial (d 10) pCO2 values were similar for all treatments (P >0.05) On d0, covered treatments (SHADE, CWF, and CNF) pCO2 values were greater than d 10 (P< 0.01) OUT values did not differ from d 10 to d0 (P 0.95) The change in pCO2 values between d 10 to d0 values were similar for covered groups (P >0.14) and greater than OUT (P 0.02) On d50 all treatment pCO2 values returned to baseline values (P 0.50) and the change in pCO2 from d0 to d50 was greater for covered groups than the OUT group (P 0.04) Initial d 10 pO2 values were similar for all treatments (P >0.05) On d0, covered treatments (SHADE, CWF, and CNF) pO2 values were less than d 10 (P 0.01) OUT values did not differ from d 10 to d0 (P 0.75) pCO2 values between d 10 to d0 were similar across all groups (P 0.38) On d50 SHADE and CNF pO2 values were less than base line (P 0.02) d50 pO2 values for OUT and CWF returned to baseline values (P >0.20) The change in O2 from d0 to d50 was similar across all groups (P 0.84) These results suggest that there is a physiological difference between beef steers fed with cover versus beef steers outside.
Optimization methods for equivalent source identification and electromagnetic model creation based on near field measurements
Venue: 10th International Symposium on Electromagnetic Compatibility
Year: 2011

The field emission from printed circuit boards (PCB) plays an important role in the electromagnetic compatibility of electronic systems. The established field measurement methods according to CISPR suffer from the need to use large anechoic chambers. Furthermore the measurement data cannot be used for modeling concerning the calculation of the overall fields radiated from e.g. a car. Other methods which try to identify an equivalent source distribution by near field measurements do not require large anechoic chambers, but instead an electromagnetic inverse problem has to be solved. This often leads to an ill posed equation system due to unavoidable errors in measurement data, long computation times, and finally inaccurate results. In this paper an approach to optimize the characterization method of printed circuit boards by near field measurements is proposed. The radiation of a PCB is modeled with a set of elementary sources, resulting in the same field like the electronic system itself. The electromagnetic fields in a plane above the PCB are measured. Optimized time domain methods are applied in order to reduce measurement time, to receive phase information, and to correlate different measurement data sets. As the current distribution on a PCB mainly depends on the conductor paths, the distribution of characterizing equivalent sources can be chosen with respect to the trace routing. Amplitude and phase correlation of the equivalent sources along each current path are taken into account. The routing information can be extracted from mechanical CAD data or is based on high resolution near field scans. The approaches are integrated in the equivalent source identification process. The advantages of the new method are presented and discussed.
Validation of Estimating Dual Crop Coefficient Approach in Growing Season for the Community of Leymus Chinensis under Water Stress Conditions
Year: 2010

Based on the field experiment data of climate and physiological factors in the growth period of the Community of Leymus Chinensis from 2005 to 2006 to simulate the basic crop coefficient(Kcb),and one for soil evaporation(Ke) of the Community of Leymus Chinensis in the Otindag sandy area in two different hydrological years presented in the FAO irrigation and drainage paper 56(FAO56,1998,crop evapotranspiration,guidelines for computing crop water requirements),and adjust them by climate and leaf resistance.The daily evapotranspiration is simulated with the basic crop coefficient adjusted.The simulation results are assessed by the approach of consisting in presenting a graphical representation of model simulation transpiration and evaporation compared with observed values and by the regression between observed and model simulated values close to the origin The results show that the transpiration and evaporation values calculated by adjusted dual crop coefficient approach are close to that as estimated from experiment data.The basic crop coefficient on the Penman Method need to be updated by climate and leaf resistance under water stress conditions if there are on the spot experiment data available.
The Role of Short Termism and Uncertainty Avoidance in Organizational Inaction on Climate Change
Year: 2017

Despite increasing pressure to deal with climate change, firms have been slow to respond with effective action. This article presents a multi level framework for a better understanding of why many firms are failing to reduce their absolute greenhouse gas emissions, which contribute to climate change. The concepts of short termism and uncertainty avoidance from research in psychology, sociology, and organization theory can explain the phenomenon of organizational inaction on climate change. Antecedents related to short termism and uncertainty avoidance reinforce one another at three levels individual, organizational, and institutional and result in organizational inaction on climate change. The article also discusses the implications of this multi level framework for research on corporate sustainability.
Human arm motion prediction in human robot interaction based on a modified minimum jerk model
Venue: Adv. Robotics
Year: 2021

Accurate prediction of human motion is essential to ensure the efficiency and safety of human robot interaction (HRI) especially when humans and robots interact closely in a shared environment. A novel method is developed in this work to address three fundamental problems in human arm motion prediction, i.e. given the early stage fingertip trajectory of a human arm reaching motion, how to predict the motion duration, the motion destination, and the remaining fingertip trajectory. First, a modified minimum jerk model (MMJM) containing three input parameters the motion duration, the motion destination, and the early stage fingertip trajectory, is developed to express and predict the remaining fingertip trajectory. Next, these unknown parameters are determined by determining the optimal starting time of motion prediction and employing Gaussian process regression models (GPRs) Finally, the proposed human arm motion prediction method is validated by simulations and HRI experiments.
Phosphatidylserine containing liposomes: modulators of rhinovirus induced inflammatory responses
Year: 2013

Human rhinoviral infections are major contributors to the healthcare burden associated with acute exacerbations of asthma. We, and others have recently demonstrated that rhinovirus (RV) induced inflammatory responses are mediated by multiple signalling mechanisms, such as IL 1/MyD88 (1) and TLR3/RIGI (2) We have also previously published work showing that TLR signalling is effectively inhibited by phosphatidylserine containing liposomes (SAPS) through the disruption of membrane microdomains (3) Evidence has also suggested that membrane microdomains may influence infections with RV. In this study, we explored the ability of SAPS to modulate responses to the natural viral pathogens, RV 1B and RV 16.  The immortalized bronchial epithelial cell line, BEAS 2B or primary bronchial epithelial cells were infected with RV 1B or RV 16 at a TCID50/ml of 19107 for 1 h. Immediately following infection, various concentrations of SAPS were added and changes in cytokine release were measured at 24 h. SAPS remained present throughout. Type I and III interferon (IFN) expression and rates of viral replication were measured by quantitative PCR. Virus quantification was also performed using a viral CPE assay, and IFN signalling was measured by western blot. Liposome stability was characterised and intracellular trafficking of fluorescently labelled SAPS in BEAS 2B cells was investigated using confocal microscopy. For in vivo studies, female wt Balb/c mice were pre treated with SAPS for 2 h prior to infection with RV as previously described and changes in BAL cell number, BAL cytokine production and viral replication were quantified (4)  Characterisation of SAPS liposomes by mass spectrometry showed no obvious signs of oxidation over the time period tested, and liposome size remained constant. Preliminary confocal studies revealed that SAPS was rapidly internalised within the cell and was found to associate with intracellular compartments such as the early endosome and golgi. Viral infected BEAS 2B cells co incubated with SAPS, showed notably impaired responses to RV as assessed by release of CXCL8 and CCL5. SAPS also reduced RV induced IFNb production and STAT 1 phosphorylation, without significantly influencing viral replication rates. Modest increases in viral particle production were only observed at 48 and 72 h time points. Suppression of viral induced cytokine production was also observed in primary bronchial epithelial cells and pilot in vivo studies showed that SAPS results in reduced KC production at 24 h post viral infection, and this was associated with reduced neutrophil numbers within the BAL fluid.  Our data demonstrates a potential means of modulating inflammatory responses induced by human rhinovirus.
Documentational approach to didactics
Year: 2018

This article is an updated version of an entry of the Encyclopedia of Mathematics Education (2018) In the same time, it is the seed of the HAL collection DAD MULTILINGUAL (https:/hal.archives ouvertes.fr/DAD MULTILINGUAL) constituted by the translation of this entry in various languages. The documentational approach to didactics is a theory in mathematics education. Its first aim is to understand teachers' professional development by studying their interactions with the resources they use and design in/for their teaching. In this text we briefly describe the emergence of the approach, its theoretical sources, its main concepts and the associated methodology. We illustrate these aspects with examples from different research projects. This synthetic presentation is written for researchers, but also for non specialists (e.g. master students) interested in a first discovery of the documentational approach.
Klasifikasi Nada Sesuai Kodaly Handsign Dengan Metode K Nearest Neighbor Pada Leap Motion Controller
Venue: Indonesian Journal on Computing (Indo JC)
Year: 2019

Tangan dapat menghasilkan berbagai pose di mana setiap pose dapat memiliki makna atau tujuan yang dapat digunakan sebagai bentuk komunikasi ditentukan sesuai kesepakatan umum atau siapa yang berkomunikasi. Pose tangan dapat digunakan sebagai interaksi manusia dengan komputer yang lebih cepat, intuitif dan sesuai dengan fungsi alami dari tubuh manusia yang disebut Handsign. Salah satunya adalah Kodaly Handsign yang dibuat oleh seorang komposer Hungaria bernama Zoltan Kodaly yang merupakan konsep dalam pendidikan musik di Hungaria. Pendekatan langsung ini digunakan dalam pertunjukan angklung interaktif dalam menentukan nada yang akan dimainkan dengan algoritma K Nearest Neighbor (KNN) untuk proses klasifikasi berdasarkan pose tangan. Proses klasifikasi ini dilakukan pada data yang diekstrak dari Leap Motion Controller yang mengambil nilai Pitch, Roll dan Yaw berdasarkan prinsip dasar pesawat. Hasil penelitian dilakukan sebanyak 5 kali dengan nilai k secara periodik 1,3,5,7,9 dengan data uji beruapa pose yang terdiri dari 1004 Do, 891 Re, 526 Mi, 661 Fa, 612 Sol, 913 La, 702 Si dan 874 Do' terhadap 21099 data latih. Hasil tes dapat mengenali pose tangan dengan nilai k optimal k=1 dengan tingkat akurasi 94,87%
Cryogen free cooling of ASTRO H SXS Helium Dewar from 300 K to 4 K
Year: 2017

Soft X ray Spectrometer instrument (SXS) is one of the primary scientific instruments of ASTRO H. SXS has a cold detector that is cooled to 50 mK by using a multi stage Adiabatic Demagnetization Refrigerator (ADR) SXS Dewar containing ADR provides 1.3 K heat sink by using liquid helium in nominal operation. After liquid helium is dried up, 4 K heat sink is provided by using mechanical coolers. Both nominal operation and cryogen free operation were successfully demonstrated. This paper describes the test result of cryogen free operation and cool down performance from room temperature by using only mechanical coolers without liquid helium. The coolers on the Dewar cooled down cold mass from around 300 K to 4 K with 260 W electric power in 40 days. Cold mass is 35 kg in 4 K area including the helium tank, ADR and detector assembly.
A new class of phenomena identified during the analysis of neural network of multidimensional data from patients with inflammatory lung diseases
Year: 2014

to apply the neural network analysis method of multi data of patients with community acquired pneumonia (CAP) to recognize the variability of their diagnoses and discovery of new analytical capabilities of NSA based on new methodological approaches of the meeting.  in this paper, we applied a new approach of neural network analysis of multivariate data, obtained based on clinical, laboratory and instrumental tests in 60 patients older than 65 years at various stages of the treatment of community acquired pneumonia. Anthropometric data were used together with the results of immunological and immunochemical studies of blood serum of patients with community acquired pneumonia who were in the acute phase of the disease.  a new approach analysis of these data revealed the presence of characteristic groups of the bio markers, which consist from a combination of a small number of the signs that are necessary and sufficient in the aggregate for accurate classification of diagnoses for patients.  the presence of these symptoms characteristic series shows that we have discovered a new class of phenomena. These phenomena manifest themselves in the hidden relationships between the signs which included in these groups and are reflect features of the flow processes in the pathogenesis of inflammatory diseases of the lungs in different diagnostic areas. Their study can be an important and interesting in terms of understanding the many aspects of this disease.
Meta analysis of the impact of Augmented Reality on students' learning gains
Venue: Educational Research Review
Year: 2019

Existing literature reflects the multiple benefits of the integration of Augmented Reality (AR) technologies in educational settings. Many studies have been conducted to establish the tendencies, affordances, and challenges of this technology for education. However, most of these studies are qualitative studies that do not measure the extent of the impact of this technology on education. This study conducted a meta analysis of 64 quantitative research papers N 4705) published between 2010 and 2018 in major journals. The main purpose of the study was to analyze the impact of AR on students' learning gains. Furthermore, the study analyzed the influence of moderating variables such as control treatment, learning environment, learner type, and domain subject on the learning gains. The results identified that AR has a medium effect on the learning gains of students d 68 p 001 Additionally, the study discusses the effect of AR on the moderating variables and establishes some possible routes of investigation for future work.
Distributed Algorithms for Robust Convex Optimization via the Scenario Approach
Venue: IEEE Transactions on Automatic Control
Year: 2019

This paper proposes distributed algorithms to solve robust convex optimization (RCO) when the constraints are affected by nonlinear uncertainty. We adopt a scenario approach by randomly sampling the uncertainty set. To facilitate the computational task, instead of using a single centralized processor to obtain a "global solution" of the scenario problem (SP) we resort to <italic>multiple interconnected processors</italic> that are distributed among different nodes of a network to simultaneously solve the SP. Then, we propose a primal dual subgradient algorithm and a random projection algorithm to distributedly solve the SP over undirected and directed graphs, respectively. Both algorithms are given in an explicit recursive form with simple iterations, which are especially suited for processors with limited computational capability. We show that, if the underlying graph is strongly connected, each node asymptotically computes a common optimal solution to the SP with a convergence rate <inline formula><tex math notation="LaTeX"$O(1/\sum _{t=1}^k\zeta ^t)/tex math>/inline formula> where <inline formula><tex math notation="LaTeX"\lbrace \zeta ^t\rbrace$/tex math>/inline formula> is a sequence of appropriately decreasing stepsizes. That is, the RCO is effectively solved in a distributed way. The relations with the existing literature on robust convex programs are thoroughly discussed and an example of robust system identification is included to validate the effectiveness of our distributed algorithms.