nils-herrmann/clean_scirepeval huggingface dataset:
Factors Associated with Mental Health Outcomes in Oman During COVID 19: Frontline vs Non Frontline Healthcare Workers
Year: 2020

Frontline healthcare workers (HCWs) of coronavirus disease 2019 (COVID 19) could experience more psychological burden than non frontline HCWs.  This study aims to assess and compare demographic and psychological factors and sleep status of frontline HCWs in relation to non frontline HCWs.  This cross sectional study was conducted using an online survey from the 8th to the 17th of April 2020 across varied health care settings in Oman accruing 1139 HCWS.  Mental health status was assessed using Depression, Anxiety, and Stress Scales (DASS 21) and insomnia was evaluated by the Insomnia Severity Index (ISI) Samples were categorized into the frontline and non frontline groups. Chi square, odds ratio, and independent t tests were used to compare groups by demographic and mental health outcomes.  This study included 1139 HCWs working in Oman. There was a total of 368 (32.3% 388 (34.1% 271 (23.8% and 211 (18.5% respondents reported to have depression, anxiety, stress, and insomnia, respectively while working during the pandemic period. HCWs in the frontline group were 1.4 times more likely to have anxiety (OR=1.401, p=0.007) and stress (OR=1.404, p=0.015) as compared to those working in the non frontline group. On indices of sleep wake cycles, HCWs in the frontline group were 1.37 times more likely to report insomnia (OR=1.377, p=0.037) when compared to those working in the non frontline group. No significant differences in depression status between workers in the frontline and non frontline groups were found (p=0.181)  To our knowledge, this is the first study to explore the differential impacts of the COVID 19 pandemic on different grades of HCWs. This study suggests that frontline HCWs are disproportionally affected compared to non frontline HCWs. The problem with managing sleep wake cycles and anxiety symptoms were highly endorsed among frontline HCWs. As psychosocial interventions are likely to be constrained owing to the pandemic, mental health care must first be directed to frontline HCWs.  None reported.  Ethical approval was obtained before the commencement of the study from the local IRB, Directorate General of Planning and Studies, Centre of Studies and Research, Ministry of Health (MOH/ DGPS/CSR/20/2311) Written consent was sought from participants.
Automated Detection of Alzheimer's Disease Using Brain MRI Images A Study with Various Feature Extraction Techniques
Venue: Journal of Medical Systems
Year: 2019

The aim of this work is to develop a Computer Aided Brain Diagnosis (CABD) system that can determine if a brain scan shows signs of Alzheimer's disease. The method utilizes Magnetic Resonance Imaging (MRI) for classification with several feature extraction techniques. MRI is a non invasive procedure, widely adopted in hospitals to examine cognitive abnormalities. Images are acquired using the T2 imaging sequence. The paradigm consists of a series of quantitative techniques: filtering, feature extraction, Student's t test based feature selection, and k Nearest Neighbor (KNN) based classification. Additionally, a comparative analysis is done by implementing other feature extraction procedures that are described in the literature. Our findings suggest that the Shearlet Transform (ST) feature extraction technique offers improved results for Alzheimer's diagnosis as compared to alternative methods. The proposed CABD tool with the ST KNN technique provided accuracy of 94.54% precision of 88.33% sensitivity of 96.30% and specificity of 93.64% Furthermore, this tool also offered an accuracy, precision, sensitivity and specificity of 98.48% 100% 96.97% and 100% respectively, with the benchmark MRI database.
Perancangan Game Bola Basket Berbasis Android Kepada Smk Maitreyawira Kota Tanjung Pinang
Year: 2020

Game atau permainan merupakan sebuah hiburan berbentuk multimedia yang dibuat dengan menarik sehingga pemain mendapatkan sesuatu sehingga mempunyai kepuasan diri dalam bermain game. Tujuan dari penelitian ini adalah merancang sebuah game bola basket kepada pelajar SMK Matreyawira Tanjung Pinang untuk menarik keminatan pelajar untuk bermain bola basket dikarenakan pemain bola basket di kota tanjung pinang semakin sulit didapatkan. Metode yang digunakan oleh peneliti berupa Raamp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;D (Research and Development) Hasil dari penelitian ini menghasilkan sebuah aplikasi game dimana pelajar SMK Maitreyawira kota Tanjung Pinang dapat memainkan game tersebut. Perancangan game ini dengan menggunakan unity, autodesk maya dan photoshop. Hasil dari penelitian ini mempunyai hasil dengan rata rata 85.39% Game Bola Basket tersebut dinilai mempunyai tampilan menarik, game yang berjalan dengan lancar, mudah digunakan dan menerima pendapat yang baik dari para siswa siswi. Game is a form of multimedia entertainment that is made interestingly so that players will get something so they have self satisfaction in playing games. The purpose of this study was to design a basketball game for SMK Maitreyawira Tanjung Pinang students to attract students to play basketball. Because Tanjung Pinang basketball players are getting harder to get it. A method used by researchers in the form of Raamp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;D (Research and Development) The results of this study produce a game application where the students of Maitreyawirawira School in Tanjung Pinang can play the game. We created this game using unity, virtual autodesk and photoshop. The results of this study are average 85.39% this game has a value for students can increase knowledge and attract interest to play basketball.
Playing Against the Board: Rolling Horizon Evolutionary Algorithms Against Pandemic
Venue: ArXiv
Year: 2021

Competitive board games have provided a rich and diverse testbed for artificial intelligence. This paper contends that collaborative board games pose a different challenge to artificial intelligence as it must balance short term risk mitigation with long term winning strategies. Collaborative board games task all players to coordinate their different powers or pool their resources to overcome an escalating challenge posed by the board and a stochastic ruleset. This paper focuses on the exemplary collaborative board game Pandemic and presents a rolling horizon evolutionary algorithm designed specifically for this game. The complex way in which the Pandemic game state changes in a stochastic but predictable way required a number of specially designed forward models, macro action representations for decision making, and repair functions for the genetic operations of the evolutionary algorithm. Variants of the algorithm which explore optimistic versus pessimistic game state evaluations, different mutation rates and event horizons are compared against a baseline hierarchical policy agent. Results show that an evolutionary approach via short horizon rollouts can better account for the future dangers that the board may introduce, and guard against them. Results highlight the types of challenges that collaborative board games pose to artificial intelligence, especially for handling multi player collaboration interactions.
Self
Venue: HOPL
Year: 2007

The years 1985 through 1995 saw the birth and development of the language Self, starting from its design by the authors at Xerox PARC, through first implementations by Ungar and his graduate students at Stanford University, and then with a larger team formed when the authors joined Sun Microsystems Laboratories in 1991. Self was designed to help programmers become more productive and creative by giving them a simple, pure, and powerful language, an implementation that combined ease of use with high performance, a user interface that off loaded cognitive burden, and a programming environment that captured the malleability of a physical world of live objects. Accomplishing these goals required innovation in several areas: a simple yet powerful prototype based object model for mainstream programming, many compilation techniques including customization, splitting, type prediction, polymorphic inline caches, adaptive optimization, and dynamic deoptimization, the application of cartoon animation to enhance the legibility of a dynamic graphical interface, an object centered programming environment, and a user interface construction framework that embodied a uniform use mention distinction. Over the years, the project has published many papers and released four major versions of Self. Although the Self project ended in 1995, its implementation, animation, user interface toolkit architecture, and even its prototype object model impact computer science today (2006) Java virtual machines for desktop and laptop computers have adopted Self's implementation techniques, many user interfaces incorporate cartoon animation, several popular systems have adopted similar interface frameworks, and the prototype object model can be found in some of today's languages, including JavaScript. Nevertheless, the vision we tried to capture in the unified whole has yet to be achieved.
Numerical analysis of helical piles in cohesionless soil
Year: 2020

The paper presents a numerical investigation carried out for helical pile installed in loose cohesionless soil with varying density and dimensions of the helical blade/shaft. The analyses are carried out using three dimensional finite element software, Plaxis 3D AE. The load deformation behaviour under axial compression and tension is compared with the results from a case study of field investigation and numerical analysis reported. The model thus calibrated is then used for a parametric study and the results were used to arrive at a set of generic equations to estimate the axial capacities. The investigation shows that relative density of sand plays an important role in the response of ultimate axial capacities towards various geometrical variations. Presence of helical blade and its embedment ratio (H/D h were found to influence axial capacity significantly. However, the shaft diameter is found to play a relatively less important role compared to increase in helical blade diameter while considering ultimate axial load capacities.
Study on the effective toothpaste of adjunctive treatment of recurrent aphthous ulcer
Year: 2015

Sodium azulene sulfonate, allantoin and tranexamic acid were used as active ingredients to prepare the effective toothpaste of adjunctive treatment of recurrent aphthous ulcer. The formulation and process of toothpaste were introduced. The safety of the product was evaluated.The function of the product was studied by bacteriostasis rate test and clinic test. The experimental results showed that the toothpaste was safe and non toxic. The killing rates for Streptococcus mutants, Staphylococcus aureus, Candida albicans and Escherichia coli were more than 99.98%and for Porphyromonas gingivalis was more than 98.14% There were significant effects on inhibiting dental plaque, reducing gingivitis and promoting RAU healing.
Attachment security in companion dogs: adaptation of Ainsworth's strange situation and classification procedures to dogs and their human caregivers
Venue: Attachment human development
Year: 2019

This exploratory study describes the development of a classification system for dogs' attachment security to caregivers that adheres closely to Ainsworth's seminal methodology. Fifty nine adult dogs and caregivers participated in a mildly threatening laboratory encounter with a stranger (TS) and the Strange Situation (SSP) Dog and attachment experts adapted Ainsworth's classification system for the behavioral repertoire of the dog. Four potentially comparable patterns of attachment were identified. The proportions of secure and insecure classifications (61% and 39% were similar to those found in human toddlers. Caregivers' sensitivity to their dogs during the TS procedure significantly differentiated dogs with secure vs. insecure classifications Lower scores on the Active/excited personality scale on the Monash Canine Personality Questionnaire Revised (MCPQ R) also were related to secure classification. This system now makes it possible to compare directly the effects of human and dog attachment patterns on the health and emotional well being of humans and dogs.
Spamdoop: A Privacy Preserving Big Data Platform for Collaborative Spam Detection
Venue: IEEE Transactions on Big Data
Year: 2019

Spam has become the platform of choice used by cyber criminals to spread malicious payloads such as viruses and trojans. In this paper, we consider the problem of early detection of spam campaigns. Collaborative spam detection techniques can deal with large scale e mail data contributed by multiple sources; however, they have the well known problem of requiring disclosure of e mail content. Distance preserving hashes are one of the common solutions used for preserving the privacy of e mail content while enabling message classification for spam detection. However, distance preserving hashes are not scalable, thus making large scale collaborative solutions difficult to implement. As a solution, we propose Spamdoop, a Big Data privacy preserving collaborative spam detection platform built on top of a standard Map Reduce facility. Spamdoop uses a highly parallel encoding technique that enables the detection of spam campaigns in competitive times. We evaluate our system's performance using a huge synthetic spam base and show that our technique performs favorably against the creation and delivery overhead of current spam generation tools.
PI3K Mediated Proliferation of Fibroblasts by Calendula officinalis Tincture: Implication in Wound Healing
Venue: Phytotherapy research PTR
Year: 2015

Calendula officinalis, a member of the Asteraceae family, is a flowering plant and has been used for its antibacterial, antifungal, antiviral, antiinflammatory, anticancer and wound healing activity. The mode of action of C. officinalis tincture on wound healing is poorly understood. Here, we investigated the role of C. officinalis tincture (CDOT) on cell viability and wound closure. C. officinalis tincture stimulated both proliferation and migration of fibroblasts in a statistically significant manner in a PI3K dependent pathway. The increase in phosphorylation of FAK (Tyr 397) and Akt (Ser 473) was detected after treatment of CDOT. Inhibition of the PI3K pathway by wortmannin and LY294002 decreased both cell proliferation and cell migration. HPLC ESI MS revealed the presence of flavonol glycosides as the major compounds of CDOT. Altogether, our results showed that CDOT potentiated wound healing by stimulating proliferation and migration of fibroblast in a PI3K dependent pathway, and the identified compounds are likely to be responsible for wound healing activity.
Financial Literacy and Financial Risk Tolerance of Individual Investors: Multinomial Logistic Regression Approach
Year: 2020

Financial risk tolerance is one of the important factors affecting the financial investment decisions of individuals and institutional investors and a crucial factor of financial planning and financial counseling. It is therefore necessary to determine the major determinants of risk tolerance. In this article, we researched the impact of financial literacy level and demographic characteristics on the financial risk tolerance of the individuals in the sample of Usak University staff, using a multinomial logistic regression analysis and retrieving data through the questionnaire method. Multinomial logistic regression is an extension of binary logistic regression, allowing for three or more categories of the dependent variable. The findings of the empirical analysis reveal that financial literacy and demographic characteristics of age, gender, education, and income levels are significant determinants of financial risk tolerance. In this regard, the improvements in the financial literacy of the individuals through various education programs will probably raise the demand of financial products with different risk characteristics and in turn contribute to the development of financial sector.
Detailed genetic characteristics of an international large cohort of patients with Stargardt disease: ProgStar study report 8
Venue: British Journal of Ophthalmology
Year: 2018

To describe the genetic characteristics of the cohort enrolled in the international multicentre progression of Stargardt disease 1 (STGD1) studies (ProgStar) and to determine geographic differences based on the allele frequency.  participants with a clinical diagnosis of STGD1 and harbouring at least one disease causing ABCA4 variant were enrolled from 9 centres in the USA and Europe. All variants were reviewed and in silico analysis was performed including allele frequency in public databases and pathogenicity predictions. Participants with multiple likely pathogenic variants were classified into four national subgroups (USA, UK, France, Germany) with subsequent comparison analysis of the allele frequency for each prevalent allele. Results 211 likely pathogenic variants were identified in the total cohort, including missense (63% splice site alteration (18% stop (9% and others. 50 variants were novel. Exclusively missense variants were detected in 139 (50% of 279 patients with multiple pathogenic variants. The three most prevalent variants of these patients with multiple pathogenic variants were p.G1961E (15% p.G863A (7% and c.5461 10 T>C (5% Subgroup analysis revealed a statistically significant difference between the four recruiting nations in the allele frequency of nine variants.  There is a large spectrum of ABCA4 sequence variants, including 50 novel variants, in a well characterised cohort thereby further adding to the unique allelic heterogeneity in STGD1. Approximately half of the cohort harbours missense variants only, indicating a relatively mild phenotype of the ProgStar cohort. There are significant differences in allele frequencies between nations, although the three most prevalent variants are shared as frequent variants.
PEMBENTUKAN ORGANISASI CEMERLANG: AMALAN QUDWAH HASANAH DALAM KEPIMPINAN ORGANISASI PENDIDIKAN SEBAGAI ASAS DORONGAN MOTIVASI KERJA YANG KOMPETEN
Year: 2020

Kepimpinan organisasi pendidikan yang cemerlang adalah unsur yang paling penting dalam organisasi sekolah. Organisasi sekolah harus dipimpin oleh pemimpin yang berakhlak kerana orang orang ini mempunyai kemampuan untuk menjalankan organisasi dengan semangat akuntabilitas untuk memenuhi harapan warganya. Islam mempunyai cara yang sempurna dalam memperkenalkan dan menghasilkan pemimpin yang cemerlang. Islam percaya bahawa amalan qudwah hasanah seorang pemimpin yang berakhlak mulia didapati mampu mencorakkan misi dan visi yang jelas serta matlamat yang terarah dalam menguruskan organisasi dengan jayanya. Falsafah kepimpinan dalam Islam bermakna seseorang itu bukan sahaja harus menjadi cemerlang dalam organisasi tetapi juga mesti mempamerkan qudwaah hasanah untuk cemerlang di 'akhirat' seterusnya menjaadi role model kepada seluruh warganya. Amalan qudwah hasanah dalam kepimpinan organisasi pendidikan berupaya menjadikan kecemerlangan organisasinya sebagai asas kepada dorongan motivasi kerja yang kompeten dalam kalangan seluruh warganya.
Searching for a Robust Neural Architecture in Four GPU Hours
Venue: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2019

Conventional neural architecture search (NAS) approaches are usually based on reinforcement learning or evolutionary strategy, which take more than 1000 GPU hours to find a good model on CIFAR 10. We propose an efficient NAS approach, which learns the searching approach by gradient descent. Our approach represents the search space as a directed acyclic graph (DAG) This DAG contains thousands of sub graphs, each of which indicates a kind of neural architecture. To avoid traversing all the possibilities of the sub graphs, we develop a differentiable sampler over the DAG. This sampler is learnable and optimized by the validation loss after training the sampled architecture. In this way, our approach can be trained in an end to end fashion by gradient descent, named Gradient based search using Differentiable Architecture Sampler (GDAS) In experiments, we can finish one searching procedure in four GPU hours on CIFAR 10, and the discovered model obtains a test error of 2.82% with only 2.5M parameters, which is on par with the state of the art.
Heavy metal concentrations in roadside soil and street dust from Petra region, Jordan
Venue: Environmental Monitoring and Assessment
Year: 2017

Concentrations of Cd, Cu, Fe, Pb, and Zn were measured in the samples of street dust and surface roadside soil before Jordan switched to unleaded fuel usage. The samples were collected from Petra, the most tourist attractive site in Jordan. The samples were analyzed for heavy metals by atomic absorption spectrophotometry. Our results show that the distribution of metals in the soil samples is affected by wind direction in the investigated area. The highest level of metals was found in the eastern parts of the roads due to the westerly dominant wind in the studied area. The contamination levels of metals decrease as the distance from the edge of the road increases. In the roadside soil samples, the means for the concentrations of the metals at 1 m from the east side of the main road are 1.0, 19.1, 3791.4, 177.0, and 129.0 mg kg 1 for Cd, Cu, Fe, Pb, and Zn, respectively. In the samples of street dust, the means of the concentrations of the metals in the investigated area are 9.7, 11.8, 4694.4, 31.6, and 24.8 mg kg 1 for Cd, Cu, Fe, Pb, and Zn, respectively. In conclusion, the lithogenic origins (traffic emissions) are responsible for the diffusion of these metals in the studied region.
Initial coin offerings (ICOs) to finance new ventures
Year: 2019

In an initial coin offering (ICO) new ventures raise capital by selling tokens to a crowd of investors. Often, this token is a cryptocurrency, a digital medium of value exchange based on the distributed ledger technology. Both the number of ICOs and the amount of capital raised have exploded since 2017. Despite attracting significant attention from ventures, investors, and policy makers, little is known about the dynamics of ICOs. This initial study therefore assesses the determinants of the amount raised in 423 ICOs. Drawing on signaling theory, the study explores the role of signaling ventures' technological capabilities in ICOs. The results show that technical white papers and high quality source codes increase the amount raised, while patents are not associated with increased amounts of funding. Exploring further determinants of the amount raised, the results indicate that some of the underlying mechanisms in ICOs resemble those found in prior research into entrepreneurial finance, while others are unique to the ICO context. The study's implications are multifold and discussed in detail. Importantly, the results enable investors to more accurately understand crucial determinants of the amount raised (e.g. technical white papers, source code quality, token supply, Ethereum standard) This reduces the considerable uncertainty that investors face when investing in ICOs and enables more informed decision making.