nils-herrmann/clean_scirepeval huggingface dataset:
PTSD in mental health outpatient settings: highly prevalent and under recognized
Venue: Revista brasileira de psiquiatria
Year: 2019

To estimate the current prevalence of posttraumatic stress disorder (PTSD) and the diagnosis rate of this disorder ascertained by psychiatrists in training.  We interviewed 200 adults under treatment in a university mental health outpatient clinic. The PTSD diagnoses obtained using the Structured Clinical Interview for DSM IV (SCID IV) were compared with the patients' medical records.  Forty one patients (20.5% were diagnosed with current PTSD, but only one of them (2.4% had previously received this diagnosis. This study confirms that although PTSD is highly prevalent among mental health outpatients, it is remarkably underdiagnosed in teaching hospitals.  These findings suggest that psychiatrists in training may be failing to investigate traumatic events and their consequences and strongly indicate that trauma related issues should be given more prominence in psychiatry curricula and psychiatrist training.
The Relationship Between Burnout, Depression, and Anxiety: A Systematic Review and Meta Analysis
Venue: Front. Psychol.
Year: 2019

Burnout is a psychological syndrome characterized by emotional exhaustion, feelings of cynicism and reduced personal accomplishment. In the past years there has been disagreement on whether burnout and depression are the same or different constructs, as they appear to share some common features (e.g. loss of interest and impaired concentration) However, the results so far are inconclusive and researchers disagree with regard to the degree to which we should expect such overlap. The aim of this systematic review and meta analysis is to examine the relationship between burnout and depression. Additionally, given that burnout is the result of chronic stress and that working environments can often trigger anxious reactions, we also investigated the relationship between burnout and anxiety.  We searched the online databases SCOPUS, Web of Science, MEDLINE (PubMed) and Google Scholar for studies examining the relationship between burnout and depression and burnout and anxiety, which were published between January 2007 and August 2018. Inclusion criteria were used for all studies and included both cross sectional and longitudinal designs, published and unpublished research articles, full text articles, articles written in the English language, studies that present the effects sizes of their findings and that used reliable research tools.  Our results showed a significant association between burnout and depression (r 0.520, SE 0.012, 95% CI 0.492, 0.547) and burnout and anxiety (r 0.460, SE 0.014, 95% CI 0.421, 0.497) However, moderation analysis for both burnout depression and burnout anxiety relationships revealed that the studies in which either the MBI test was used or were rated as having better quality showed lower effect sizes.  Our research aims to clarify the relationship between burnout depression and burnout anxiety relationships. Our findings revealed no conclusive overlap between burnout and depression and burnout and anxiety, indicating that they are different and robust constructs. Future studies should focus on utilizing more longitudinal designs in order to assess the causal relationships between these variables.
Smart Parking System With Automatic Cashier Machine Utilize the IoT Technology
Venue: 2019 International Conference on ICT for Smart Society (ICISS)
Year: 2019

The difficulty of finding car parking spot has become one of main consideration to create this paper and focusing on develop our proposed smart parking system. Other than that, the utilization of internet of things (IoT) technology has become one of great technology that match for complex system with a minimal use of hardware. With the implementation of IoT based on cloud computing, several smart devices, and also smart automatic machine, the concept of smart parking system are expected to be able to provide services for car parking spot searching and car parking spot allocation through the mobile application.
A Service Registry Meta model Framework for Interoperability
Venue: 2011 Tenth International Symposium on Autonomous Decentralized Systems
Year: 2011

currently there exist many kinds of semantic Web Service models on the internet. They are heterogeneous so that it is hard to understand and interoperate each other. In this paper, we study several mainstream semantic Web Service models, and extract meta models for each from the perspective of semantic Web Service discovery. Based on this, we propose the universal meta model for semantic Web Service registration within the background of meta model framework for interoperability (MFI, ISO/IEC19763) Some cases are studied and infrastructure supporting our work is demonstrated. The work in the paper may be regarded as an extension to UDDI on service semantics facet, and has been proposed to ISO as ISO/IEC 19763 Part 7.
Art Nouveau And Alphonse Mucha
Year: 2016

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ETUDE DU PHENOMENE DE L'ABRASION D'UNE POMPE ALGERIENNE POUR L'ALIMENTATION EN EAU POTABLE DANS LE GRAND SUD ALGERIEN.
Year: 2014

RESUME L'alimentation en eau potable dans les villes sahariennes du grand Sud Algerien connait une perturbation constante liee non pas a la disponibilite de la ressource en eau, mais plutot a sa qualite engendrant une erosion abrasive des pompes en un temps record engendrant des perturbations graves dans la distribution d'eau potable.Pour etudier le phenomene,un banc d'essais est concu au laboratoire,permettant d'identifier l'evolution de l'usure par abrasion de l'organe.Les conditions naturelles sont etablies l'eau potable utilisee est chargee de sable fin dont la nature mineralogique est un melange de silice et de quartz, caracteristique frequente des eaux de cette region posant problematique.Les essais ont montre apres un temps de fonctionnement de 60 heures,une usure palpable avec une perte de masse de l'organe principal de la pompe qu'est la roue, confirmant les travaux realises de par le monde dans ce domaine.L'effet mecanique de l'eau sableuse sur l'organe le plus expose est evident. L'usure prematuree se fait hors point de barbotage.
"Promoting Teaching and Learning Through Competition" To build an Engineering Practice Training System Complemented by Competition and Education
Venue: Proceedings of the 6th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2020)
Year: 2021

Under the background of "New Engineering" college students' innovation ability and engineering practice ability are the core tasks of higher education, and subject competition is an important way to cultivate college students' practical innovation ability. In order to strengthen the innovation and practical ability of students in computer related majors, this article relies on professional discipline competition activities, through the improvement of the talent training program, integrates discipline competition into the whole process of engineering practice training, and focuses on training through the establishment of a hierarchical and phased discipline competition mechanism Students' practical and innovative abilities will improve their creativity and overall quality in an all round way, forming a virtuous circle of "promoting teaching by competition and learning by competition"
Out of Sight, Out of Mind? Geographic and Social Predictors of Flood Risk Awareness.
Venue: Risk analysis an official publication of the Society for Risk Analysis
Year: 2019

The persistent gap in flood risk awareness in Canada, and elsewhere in North America, is a continual source of worry for researchers and emergency managers; many people living in at risk places are simply unaware of risks and of their proximity to hazards. This study seeks to understand which residents were aware of flood risk, using unique representative survey data of Calgary residents living in the city's flood prone neighborhoods collected after the devastating and costly 2013 Southern Alberta Flood. The article uses logistic regression models to analyze which residents were aware of risk to their homes. Findings indicate that, in addition to various demographic predictors, many of the geographic predictors (including the elevation of one's home relative to the river) are significant predictors of awareness. Having a direct sight line to one of Calgary's two rivers is also a significant predictor in some of the models, suggesting that the visibility of hazards matters for flood risk perception, although this effect fades when many of the geographic predictors are added. Finally, the models indicate that several variables related to local, neighborhood based social networks are significant as well. These findings reveal that both physical surroundings and social context are important for understanding risk awareness. The article concludes by discussing the relevance for social science research on disasters and hazards, as well as for planners and emergency managers.
Generalized Zero Shot Text Classification for ICD Coding
Venue: IJCAI
Year: 2020

The International Classification of Diseases (ICD) is a list of classification codes for the diagnoses. Automatic ICD coding is a multi label text classification problem with noisy clinical document inputs and long tailed label distribution, making it difficult for fine grained classification on both frequent and zero shot codes at the same time, i.e. generalized zero shot ICD coding. In this paper, we propose a latent feature generation framework to improve the prediction on unseen codes without compromising the performance on seen codes. Our framework generates semantically meaningful features for zero shot codes by exploiting ICD code hierarchical structure and reconstructing the code relevant keywords with a novel cycle architecture. To the best of our knowledge, this is the first adversarial generative model for generalized zero shot learning on multi label text classification. Extensive experiments demonstrate the effectiveness of our approach. On the public MIMIC III dataset, our methods improve the F1 score from nearly 0 to 20.91% for the zero shot codes, and increase the AUC score by 3% (absolute improvement) from previous state of the art. Code is available at https:/github.com/csong27/gzsl text.
Revisiting the phylogeography and demography of European badgers (Meles meles) based on broad sampling, multiple markers and simulations
Venue: Heredity
Year: 2014

Although the phylogeography of European mammals has been extensively investigated since the 1990s, many studies were limited in terms of sampling distribution, the number of molecular markers used and the analytical techniques employed, frequently leading to incomplete postglacial recolonisation scenarios. The broad scale genetic structure of the European badger (Meles meles) is of interest as it may result from historic restriction to glacial refugia and/or recent anthropogenic impact. However, previous studies were based mostly on samples from western Europe, making it difficult to draw robust conclusions about the location of refugia, patterns of postglacial expansion and recent demography. In the present study, continent wide sampling and analyses with multiple markers provided evidence for two glacial refugia (Iberia and southeast Europe) that contributed to the genetic variation observed in badgers in Europe today. Approximate Bayesian computation provided support for a colonisation of Scandinavia from both Iberian and southeastern refugia. In the whole of Europe, we observed a decline in genetic diversity with increasing latitude, suggesting that the reduced diversity in the peripheral populations resulted from a postglacial expansion processes. Although MSVAR v.1.3 also provided evidence for recent genetic bottlenecks in some of these peripheral populations, the simulations performed to estimate the method's power to correctly infer the past demography of our empirical populations suggested that the timing and severity of bottlenecks could not be established with certainty. We urge caution against trying to relate demographic declines inferred using MSVAR with particular historic or climatological events.
Big Data Software Engineering: Analysis of Knowledge Domains and Skill Sets Using LDA Based Topic Modeling
Venue: IEEE Access
Year: 2019

Software engineering is a data driven discipline and an integral part of data science. The introduction of big data systems has led to a great transformation in the architecture, methodologies, knowledge domains, and skills related to software engineering. Accordingly, education programs are now required to adapt themselves to up to date developments by first identifying the competencies concerning big data software engineering to meet the industrial needs and follow the latest trends. This paper aims to reveal the knowledge domains and skill sets required for big data software engineering and develop a taxonomy by mapping these competencies. A semi automatic methodology is proposed for the semantic analysis of the textual contents of online job advertisements related to big data software engineering. This methodology uses the latent Dirichlet allocation (LDA) a probabilistic topic modeling technique to discover the hidden semantic structures from a given textual corpus. The output of this paper is a systematic competency map comprising the essential knowledge domains, skills, and tools for big data software engineering. The findings of this paper are expected to help evaluate and improve IT professionals' vocational knowledge and skills, identify professional roles and competencies in personnel recruitment processes of companies, and meet the skill requirements of the industry through software engineering education programs. Additionally, the proposed model can be extended to blogs, social networks, forums, and other online communities to allow automatic identification of emerging trends and generate contextual tags.
Safety Related Component for CNC System: A Case of Functional Safety in Software Application*
Venue: 2018 IEEE International Conference on Information and Automation (ICIA)
Year: 2018

The development of IEC 61508 and IEC 62061 has converted the safe problem of the system into a risk control problem. Therefore, how to achieve functional safety on CNC (Computerized Numerical Control) systems with evergrowing complexity has become an urgent problem to be solved in the research on functional safety of CNC systems. Componentized design is an effective way to solve the above problems. The CNC system implements functions through hardware and software cooperation. Because software and hardware are logically equivalent, in the CNC system, the completion of work by hardware can also be accomplished by software. This paper abstracts the software structure of the open CNC system, proposes the design and development of a safety related component based on functional safety, and verifies that it can meet the complex functional requirements of the CNC system in the actual production and meet the needs of the functional safety.
Associative Learning as a Source of Visual Bias
Year: 2015

The visual system does not encounter isolated visual features, but sets of features that bind together and constitute complex perceptual events. Visual features are also typically accompanied by the observer's own movements, and it is believed that these movements are also included in the representation of events. In the present thesis, argue that the units of attentional selection are such multi featured events. This means that learning the regularities in the relation among features can guide visual attention toward multiple features that belong to the selected event. Through a series of experiments, I demonstrate how visual bias for colour is influenced by the selection associated features, such as a shape or a manual movement. In all instances, I argue, selecting or inhibiting one feature impacts the treatment of the associated colour feature. In short, feature association can extend the impact of feature based attention across multiple dimensions, which supports the idea that events, not features, are units of attentional selection.
Profile Of Head And Neck Burns During COVID 19 Pandemic.
Venue: Journal of burn care research official publication of the American Burn Association
Year: 2021

Coronavirus disease 2019 (COVID 19) affected daily activities since December 2019. Burn injuries to head and neck can result in cosmetic and functional deformities. The purpose of this study was to characterize patients with burns to head and neck during the pandemic. This cross sectional study reviewed patients in Burn Care Quality Platform Registry. Patients were included if they were age 18 years of age or older, and sustained burns to head and neck. Patients were stratified according to date of injury into: (1) March 13 to September 13, 2019 (i.e. before COVID 19 pandemic, BC19) or (2) March 13 to September 13, 2020. March 13, 2020 was chosen because (1) COVID 19 was announced as a national emergency on that date and (2) it was the last day of in person schools in state of Georgia. Data collection included patient demographics, admission details, burn details, and hospital related variables were documented. During the study period, 157 patients had burn to head and neck (BC 19; 70, C 19; 71) Our data showed a 375% increase in March following the announcement of the pandemic (BC19; 4, C19;19) Admissions from another facility were statistically more than in C19 group (p=<0.0001) For C19 group, there were 53% more admissions from ED than BC19 (p=0.001) Additionally, in BC19 group patients presented with concomitant inhalation injuries significantly more than C19 group (p=0.04) In conclusion, the total number of burns is the same during BC and C19, however there was a significant spike in number of cases in March 2020.
Meningkatkan Efektifitas Pembelajaran Melalui Penerapan Model Pembelajaran Penemuan Terbimbing Berbantuan LKS Siswa
Year: 2020

Penelitian ini bertujuan untuk mengetahui dan menganalisis penerapan metode pembelajaran penemuan terbimbing berbantuan LKS dalam meningkatkan efektifitas pembelajaran materi trigonometri bagi siswa. Subyek penelitian adalah siswa kelas X MIPA 1 Semester 2 SMA Negeri 1 Janapria Kabupaten Lombok Tengah Tahun Pelajaran 2017/2018 yang berjumlah 36 siswa yang terdiri dari 21 siswa putra dan 15 siswa putri. Alat pengumpulan data yang digunakan adalah tes formatif, lembar observasi kegiatan siswa, dan angket refleksi terhadap pembelajaran. Prosedur tindakan kelas ini ditempuh dalam 2 (dua) siklus. Setiap siklus terdiri dari perencanaan, pelaksanaan, pengamatan, dan refleksi. Indikator keberhasilannya ditunjukkan dengan adanya peningkatan hasil belajar siswa, yaitu apabila sekurang kurangnya 70% hasil belajar siswa sudah mencapai sekurang kurangnya 62. Hasil penelitian menunjukkan bahwa pada siklus 1 rata rata kelasnya mencapai 63.85, siswa yang tuntas sebanyak 25 anak (64,11% dan yang tidak tuntas sebanyak 14 anak (35,89% dengan nilai tertinggi 90,00 dan nilai terendah 40,00. Pada siklus 1 untuk nilai rata rata hasil belajar yang diperoleh sudah mencapai indikator yang ditetapkan, tetapi untuk prosentasi ketuntasan masih dibawah indikator yang ditetapkan. Pada siklus 2 rata rata kelasnya mencapai 70.09, siswa yang tuntas sebanyak 30 anak (76,92% dan yang tidak tuntas sebanyak 9 anak (23,08% dengan nilai tertinggi 93,33 dan nilai terendah 43,33. Pada siklus 2 hasil belajar yang diperoleh sudah mencapai indikator yang ditetapkan. Dengan demikian, disimpulkan bahwa melalui penerapan model pembelajaran penemuan terbimbing berbantuan LKS dapat meningkatkan hasil belajar materi Trigonometri bagi siswa kelas X MIPA 1 Semester 2 SMA Negeri 1 Janapria Kabupaten Lombok Tengah tahun pelajaran 2017/2018.
Group design in group testing for COVID 19 A French case study
Year: 2020

Group testing is a screening strategy that involves dividing a population into several disjointed groups of subjects. In its simplest implementation, each group is tested with a single test in the first phase, while in the second phase only subjects in positive groups, if any, need to be tested again individually. In this paper, we address the problem of group testing design, which aims to determine a partition into groups of a finite population in such a way that cardinality constraints on the size of each group and a constraint on the expected total number of tests are satisfied while minimizing a linear combination of the expected number of false negative and false positive classifications. First, we show that the properties and model introduced by Aprahmian et al. can be extended to the group test design problem, which is then modeled as a constrained shortest path problem on a specific graph. We design and implement an ad hoc algorithm to solve this problem. On instances based on Sante Publique France data on Covid 19 screening tests, the results of the computational experiments are very promising.
Preoperative geriatric assessment and follow up of patients older than 75 years undergoing elective surgery for suspected colorectal cancer.
Venue: Journal of geriatric oncology
Year: 2019

We investigated the predictive value of specific tools used in a Comprehensive Geriatric Assessment (CGA) with regard to postoperative outcome in patients 75 years and older undergoing elective colorectal cancer (CRC) surgery. Furthermore, recovery was followed over the first postoperative year using the same assessment tools.  Baseline clinical and CGA variables including functional and nutritional status, pressure sore risk, fall risk, cognition, depression, polypharmacy, comorbidity, and health related quality of life (HRQoL) were prospectively recorded. Outcome variables were postoperative complications and length of stay (LOS) Patients were likewise followed up at one, three and twelve months postoperatively.  Forty nine patients underwent surgery (median age 81 years) Forty three per cent had ASA (American Society of Anesthesiologists) class 2 47% had ASA class 3. Postoperative complications occurred in 32.7% Median LOS was eight days. In univariate analyses, none of the parameters tested predicted postoperative complication or LOS. During follow up, all patients recovered to baseline values apart from HRQoL which was still reduced at three and twelve months (p .017) Nutritional status had improved twelve months after surgery (p .011)  No association could be found in this study between the results of a comprehensive geriatric assessment and prolonged length of stay or postoperative complication rate after elective surgery for colorectal cancer. Patients recovered well during the first year after surgery. Quality of life, however, was still lower than prior to surgery.