nils-herrmann/clean_scirepeval huggingface dataset:
Resilience and self harm among left behind children in Yunnan, China: a community based survey
Venue: BMC Public Health
Year: 2019

Self harm (SH) behaviors are established risk factors of suicide, however, in Chinese left behind children (LBC) SH remains severely under discussed. In this study, we aimed to investigate SH and explore its association between resilience in a large group of LBC. A community based cross sectional study of 2898 LBC was conducted in Yunnan province, China. Information was collected by self reporting questionnaires. Descriptive analysis was used to depict and compare characteristics of the subjects. Univariate and multivariate logistic regression models were applied to estimate the associations between resilience and SH prevalence, SH severity, SH repetition. The prevalence of SH in LBC was 48.8% (95%CI: 47.0 49.7% Compared to LBC with lower level of resilience, a higher level of resilience was related to 0.40 folds of SH odds (95%CI: 0.34 0.48) Besides, among all dimensions of resilience, every 1 average score increase of emotion regulation and family support were associated with 0.13 (95%CI: 0.04 0.37) and 0.14 (95%CI: 0.04 0.47) folds of odds in severer SH, respectively; one unit increase in the average score of emotion regulation was related to an OR of 0.23 (95%CI: 0.07 0.71) for repeated SH. Psychological resilience presented protective effect on SH in LBC, especially the dimensions of emotion regulation and family support. Intervention measures focusing on enhancing emotion regulation ability and building parent child connection could be considered in order to reduce SH and suicidal risk in LBC.
Action Recognition with Improved Trajectories
Venue: 2013 IEEE International Conference on Computer Vision
Year: 2013

Recently dense trajectories were shown to be an efficient video representation for action recognition and achieved state of the art results on a variety of datasets. This paper improves their performance by taking into account camera motion to correct them. To estimate camera motion, we match feature points between frames using SURF descriptors and dense optical flow, which are shown to be complementary. These matches are, then, used to robustly estimate a homography with RANSAC. Human motion is in general different from camera motion and generates inconsistent matches. To improve the estimation, a human detector is employed to remove these matches. Given the estimated camera motion, we remove trajectories consistent with it. We also use this estimation to cancel out camera motion from the optical flow. This significantly improves motion based descriptors, such as HOF and MBH. Experimental results on four challenging action datasets (i.e. Hollywood2, HMDB51, Olympic Sports and UCF50) significantly outperform the current state of the art.
IELTS foundation a self study course for all academic modules
Year: 2012

IELTS Foundation Second Edition retains all of the best elements of the original course and brings it up to date with new and fresh content. This includes clear links to exam sections and incorporates the changes that have been made to the IELTS exam. It is a 12 unit course aimed at training students within an IELTS band of 4 5.5 in the skills required to increase their score.  Dictionary encourages students to record and increase their vocabulary, making vocabulary development a central part of their studies. Two Audio CDs containing the listening and pronunciation practice to accompany IELTS Foundation Student's Book, encouraging extra practice and use for homework tasks.
Relation Embedding with Dihedral Group in Knowledge Graph
Venue: ACL
Year: 2019

Link prediction is critical for the application of incomplete knowledge graph (KG) in the downstream tasks. As a family of effective approaches for link predictions, embedding methods try to learn low rank representations for both entities and relations such that the bilinear form defined therein is a well behaved scoring function. Despite of their successful performances, existing bilinear forms overlook the modeling of relation compositions, resulting in lacks of interpretability for reasoning on KG. To fulfill this gap, we propose a new model called DihEdral, named after dihedral symmetry group. This new model learns knowledge graph embeddings that can capture relation compositions by nature. Furthermore, our approach models the relation embeddings parametrized by discrete values, thereby decrease the solution space drastically. Our experiments show that DihEdral is able to capture all desired properties such as (skew symmetry, inversion and (non Abelian composition, and outperforms existing bilinear form based approach and is comparable to or better than deep learning models such as ConvE.
Strengths, weaknesses, opportunities and threats (SWOT) analysis for farming system businesses management: Case of wheat farmers of Shadervan District, Shoushtar Township, Iran
Year: 2011

Strengths, weaknesses, opportunities and threats (SWOT) analysis indicates a framework for helping the researchers or planners to identify and prioritize the business goals, and to further identify the strategies of achieving them. SWOT analysis is a technique used to analyze the strengths, weaknesses, opportunities and threats of businesses. In all countries, farming practices play a vital role in food security. Population growth is the major reason for increased food demands and it puts additional pressure on the natural resource. Countries with rapid population growth face especially difficult challenges in ensuring food security. As such, SWOT analysis is used to identify strategies for agricultural development, especially in farming systems, and they help the researchers or planners to manage and prioritize them for achieving food security. The research area was located in rural areas of Shadervan district, Shouahtar Township, Iran, and the study's population comprised wheat farmers (N=1950) The sample size (n=165) was selected by random sampling. Based on the results of SWOT, strategies for farming system management were prioritized and they include: development of poor local market opportunities and infrastructure, planting of crops with high economic values, development of governmental supports, preparing strategic plans for development of organic farming, considering the quality of crops, considering farm sustainability indexes, using sustainable water resources management and development of extension programs based on farmers' needs.
PEMIKIRAN SOEKARNO TENTANG INTERNASIONALISME DALAM PANCASILA Analisis Wacana Kritis Pidato Soekarno pada Sidang Umum PBB Ke XV
Year: 2018

Internasionalisme merupakan salah satu konsep yang diajukan oleh Soekarno untuk menjadi salah satu bagian dari dasar negara Indonesia. Diskursus seputar internasionalisme atau kemanusiaan ini sebenarnya tidak habis habisnya dibahas oleh pakar pakar penggiat sosial sebagai sarana untuk mengabdi pada kemanusiaan itu sendiri. Penelitian ini dilakukan untuk mengetahui makna internasionalisme yang terkandung dalam pidato Soekarno pada Sidang Umum PBB ke XV yang dilaksanakan pada tanggal 30 September 1960, dengan pidatonya yang berjudul "To Build The World A New" Hal ini dikarenakan pidato Soekarno pada Sidang Umum PBB ini begitu fenomenal dan juga memiliki kesan tersendiri, dimana saat itu Pancasila untuk pertama kalinya ditawarkan menjadi ideologi alternatif. Yakni sebagai jalan untuk mengakhiri konfrontasi ideologi yang sedang terjadi antara Blok Barat dan Blok Timur, yang menurut Soekarno harus segera diakhiri sesegera mungkin karena bertentangan dengan prinsip internasionalisme. Metode yang digunakan dalam penelitian ini adalah analisis wacana kritis yang bersifat interpretatif, dengan menggunakan model yang dikemukakan oleh Teun A van Dijk. Model analisis yang dikemukakan van Dijk terdiri dari mikro struktur, suprastruktur, dan makro struktur yang pada akhirnya menkonstruksi suatu wacana menjadi satu kesatuan. Internasionalisme yang Soekarno maksud dalam pidato ini adalah internasionalisme yang menjunjung tinggi kemanusiaan dan persaudaraan antar bangsa. Soekarno menghendaki tiap tiap negara untuk menolak paham kosmpolitanisme dan paham chauvinisme yang akan menjadi hambatan untuk terwujudnya suatu perdamaian dunia. Internationalism is one of the concepts proposed by Sukarno to be one part of the basic state of Indonesia. The discourse about internationalism or humanity is actually inexhaustible discussed by social activist experts as a means to serve the humanity itself. This research was conducted to find out the internationalism meaning in Soekarno's speech at the XV General Assembly held on September 30, 1960, with his speech entitled "To Build The World A New" This is because Sukarno's speech to the UN General Assembly is so phenomenal and also has its own impression, where Pancasila for the first time offered an alternative ideology. It is a way to end the ongoing ideological confrontation between the Western Bloc and the Eastern Bloc, which Sukarno must immediately end as soon as it is against the principle of internationalism. The method used in this research is critical discourse analysis which is interpretative, using the model proposed by Teun A van Dijk. Van Dijk's analysis model consists of micro structures, superstructures, and macro structures that ultimately construct a discourse into a single unit. The internationalism that Soekarno means in this speech is the internationalism that upholds humanity and brotherhood among nations. Sukarno wanted each country to reject the idea of cosmopolitanism and chauvinism that would be an obstacle to the realization of a world peace.
Ferroelectric FETs Based Nonvolatile Logic in Memory Circuits
Venue: IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Year: 2019

Among the beyond complementary metal oxide semiconductor (CMOS) devices being explored, ferroelectric field effect transistors (FeFETs) are considered as one of the most promising. FeFETs are being studied by all major semiconductor manufacturers, and experimentally, FeFETs are making rapid progress. FeFETs also stand out with the unique hysteretic <inline formula> <tex math notation="LaTeX"$I_{\text {ds} /tex math>/inline formula> <inline formula> <tex math notation="LaTeX"$V_{\text {gs} /tex math>/inline formula> characteristic that allows a device to function as both a switch and a nonvolatile (NV) storage element. We exploit this FeFET property to build two categories of fine grained logic in memory (LiM) circuits: 1) ternary content addressable memory (TCAM) which integrates efficient and compact logic/processing elements into various levels of memory hierarchy; 2) basic logic function units for constructing larger and more complex LiM circuits. Two writing schemes (with and without negative supply voltages respectively) for FeFETs are introduced in our LiM designs. The resulting designs are compared with existing LiM approaches based on CMOS, magnetic tunnel junctions (MTJs) resistive random access memories (ReRAMs) ferrorelectric tunnel junctions (FTJs) etc. that afford the same circuit level functionality. Simulation results show that FeFET based NV TCAMs offer lower area overhead than MTJ (79% and CMOS (42% less) equivalents, as well as better search energy delay products (EDPs) than TCAM designs based on MTJ <inline formula> <tex math notation="LaTeX"$149\times /tex math>/inline formula> ReRAM <inline formula> <tex math notation="LaTeX"$1.7\times /tex math>/inline formula> and CMOS <inline formula> <tex math notation="LaTeX"$1.3\times /tex math>/inline formula> in array evaluations. NV FeFET based LiM basic circuit blocks are also more efficient than functional equivalents based on MTJs in terms of propagation delay <inline formula> <tex math notation="LaTeX"$4.2\times /tex math>/inline formula> and dynamic power <inline formula> <tex math notation="LaTeX"$2.5\times /tex math>/inline formula> A case study for an FeFET based LiM accumulator further demonstrates that by employing FeFET as both a switch and an NV storage element, the FeFET based accumulator can save area (36% and power consumption (40% when compared with a conventional CMOS accumulator with the same structure.
6 Thioguanine blocks SARS CoV 2 replication by inhibition of PLpro protease activities
Venue: bioRxiv the preprint server for biology
Year: 2020

A recently emerged betacoronavirus, SARS CoV 2, has led to a global health crisis that calls for the identification of effective therapeutics for COVID 19 disease. Coronavirus papain like protease (PLpro) is an attractive drug target as it is essential for viral polyprotein cleavage and for deconjugation of ISG15, an antiviral ubiquitin like protein. We show here that 6 Thioguanine (6 TG) inhibits SARS CoV 2 PLpro catalyzed viral polyprotein cleavage and ISG15 deconjugation in cells and inhibits replication of SARS CoV 2 in Vero E6 cells and Calu3 cells at submicromolar levels. As a well characterized FDA approved orally delivered drug, 6 TG represents a promising therapeutic for COVID 19 and other emerging coronaviruses. One Sentence  A repurposed drug that targets an essential enzymatic activity of SARS CoV 2 represents a promising COVID 19 therapeutic.
Preparation, physicochemical and biological evaluation of quercetin based chitosan gelatin film for food packaging.
Venue: Carbohydrate polymers
Year: 2020

Ecofriendly chitosan gelatin (Ch ge) bio composite films containing Quercetin starch (Q) were synthesized using solution casting method. Physicochemical characteristics and mechanical properties of the resulting chitosan gelatin containing Quercetin starch films (Ch ge Q) were studied using UV, FTIR, XRD and SEM techniques. The films were also investigated for their swelling, water vapor permeability (WVP) water solubility properties. The FTIR spectra confirmed the chemical interactions between the chitosan gelatin and Q. Surface morphology of prepared film was analyzed by the SEM imaging while XRD spectra suggest the expanded crystallinity of the film with the addition of Q. The film also showed enhanced barrier property against UV rays. The reduction of water vapor permeability and increase in tensile strength while a decrease in elongation at break has been observed in the Ch ge Q film compared to Ch ge film. The antibacterial activity of Ch ge Q film against both gram positive (B. substilis) and gram negative (E. coli) bacteria suggested the Q loaded Ch ge films as more feasible antibacterial candidate especially against the strain E. coli. The antioxidant activity of the Ch ge Q film was evaluated using the DPPH and ABTS as standards and corresponded to 81.45% of DPPH and 72.2% of ABTS scavenging activities. It was observed that the film containing Quercetin starch presented superior antioxidant activity results in comparison to Ch ge film promising its application in food packaging.
On Statistical Damage Constitutive Model for Rock Based on General Self consistent Theory
Year: 2011

To disclose the influence of micro crack interaction on rock damage,based on the general self consistent theory of rock material damage effects,a rock damage constitutive model is established to reflect the full process of rock failure under loads.According to probability and statistics theory,the development of micro crack density is explored in rock damage model.Then,the hierarchical pattern search,an effective parameter inversion analysis method,is used to determine the rock damage model parameters.And rock damage model and parameters determination method are verified combined with engineering examples.The results showed that the proposed damage constitutive model can reflect the actual interaction among micro cracks based on general self consistent theory in engineering.Model parameters determined by hierarchical pattern search are authentic and reliable,which can be applied in practical engineering.
Adaptive Traffic Signal Control with Deep Recurrent Q learning
Venue: 2018 IEEE Intelligent Vehicles Symposium (IV)
Year: 2018

The application of modern technologies makes it possible for a transportation system to collect real time data of some specific traffic scenes, helping traffic control center to improve the traffic efficiency. Based on such consideration, we introduce a variant deep reinforcement learning agent that might take advantage of the real time GPS data and learn how to control the traffic lights in an isolated intersection. We combine the recurrent neural network (RNN) with Deep Q Network, namely DRQN and compare its performance with standard Deep Q Network (DQN) in partially observed traffic situations. The agent is trained by using Q learning with experience replay in traffic simulator SUMO, so as to generate traffic signal control policy. Based on the experiments, both DQN and DRQN method are able to adjust its traffic signal timing policy to specific traffic environment and achieve lower average vehicle delay than fixed time control. In addition, the recurrent Q learning method gets better simulation result than standard Q learning method in the environment of different probe vehicle proportion.
The Perceived Effective Leadership Style and Employee Performance in a Non Profit Making Organization. A Quantitative Study in Amman, Jordan
Year: 2019

The aim of this research is to investigate the effect of the leadership styles on employee performance in a non profit making organization. This was a quantitative research that used a survey method. Data was collected from a sample of 168 employees in a non profit making organization in Amman, Jordan. Simple random sampling was used. The SPSS and SMART PLS statistical tools were used to generate descriptive statistics and inferential statistics. The findings revealed that participative leadership is the most effective leadership style. However, the results revealed that autocratic and laissez faire leadership styles were not preferred. The findings supported the results from some earlier studies and bring out several new ideas such as the importance of participative leadership style. Based on the findings of this study, leaders should adopt more participative leadership style in non profit organizations. The findings have also significantly contributed to the advancement of knowledge in employee performance. The paper's primary contribution is that it provides an understanding that most effective leadership style in a non profit organization.
Forecasting Pedestrian Movements Using Recurrent Neural Networks: An Application of Crowd Monitoring Data
Venue: Sensors
Year: 2019

Currently, effective crowd management based on the information provided by crowd monitoring systems is difficult as this information comes in at the moment adverse crowd movements are already occurring. Up to this moment, very little forecasting techniques have been developed that predict crowd flows a longer time period ahead. Moreover, most contemporary state estimation methods apply demanding pre processing steps, such as map matching. The objective of this paper is to design, train and benchmark a data driven procedure to forecast crowd movements, which can in real time predict crowd movement. This procedure entails two steps. The first step comprises of a cell sequence derivation method that allows the representation of spatially continuous GPS traces in terms of discrete cell sequences. The second step entails the training of a Recursive Neural Network (RNN) with a Gated Recurrent Unit (GRU) and six benchmark models to forecast the next location of pedestrians. The RNN GRU is found to outperform the other tested models. Some additional tests of the ability of the RNN GRU to forecast illustrate that the RNN GRU preserves its predictive power when a limited amount of data is used from the first few hours of a multi day event and temporal information is incorporated in the cell sequences.
Physical performance profile of sub elite juvenile Gaelic Games players and the prevalence of a Relative Age Effect (RAE)
Year: 2012

Gaelic Games are the indigenous sports played in Ireland, the most popular being Gaelic football and hurling. The games are contact sports and the physical demands are thought to be similar to those of Australian Rules football, rugby union, rugby league, field hockey, and lacrosse (Delahunt et al. 2011) The difference in chronological age between children in a single age group is known as relative age and its consequences as the RAE, whereby younger players are disadvantaged (Del Campo et al. 2010) The purpose of this study was to describe the physical and performance profile of sub elite juvenile Gaelic Games players and to establish if a RAE is present in this cohort and any influence physiological moderator variables may have on this. Following receipt of ethical approval (EHSREC11 45) six sub elite county development squads (Under 14/15/16 age groups, male, n=115) volunteered to partake in the study. Anthropometric data including skin folds and girths were collected. A number of field tests of physical performance including 5 and 20m speed, vertical and broad jump distance, and an estimate of VO2max were carried out. Descriptive data are presented as Mean SD. Juvenile sub elite Gaelic Games players aged 14.53 0.82 y were 172.87 7.63 cm tall, had a mass of 64.74 11.06 kg, a BMI of 21.57 2.82 kg.m 2 and 9.22 4.78 body fat. Flexibility, measured by sit and reach was 33.62 6.86 cm and lower limb power measured by vertical and broad jump were 42.19 5.73 and 191.16 25.26 cm, respectively. Participant time to complete 5m, 20m and an agility test (T Test) was 1.12 0.07, 3.31 0.30 and 9.31 0.55 s respectively. Participant's estimated VO2max was 48.23 5.05 ml.kg.min 1. Chi Square analysis of birth month by quartile (Q1 January March) revealed that a RAE was present in this cohort, whereby an over representation of players born in Q1 compared with Q2, Q3 and Q4 was evident (2 14.078, df 3, p 0.003) Kruskal Wallis analysis of the data revealed no significant difference in any of the performance parameters based on quartile of birth (Alpha level 0.05).This study provides a physical performance profile of juvenile sub elite Gaelic Games players, comparable with those of other sports such as soccer and rugby. This novel data can inform us of the physical requirements of the sport. The evidence of a RAE is similar to that observed in other contact sports such as soccer and rugby league (Carling et al, 2009; Till et al, 2010) Although a RAE exists in this cohort, this cannot be explained by any physical/physiological moderator variables. Carling C et al. (2009) Scandinavian Journal of Medicine and Science in Sport 19, 3 9. Delahunt E et al. (2011) Journal of Athletic Training 46, 241 5. Del Campo DG et al. (2010) Journal of Sport Science and Medicine 9, 190 198. Delorme N et al. (2010)  Till K et al. (2010) Scandinavian Journal of Medicine and Science in Sports 20, 320 329.
A Comprehensive Survey for Intelligent Spam Email Detection
Venue: IEEE Access
Year: 2019

The tremendously growing problem of phishing e mail, also known as spam including spear phishing or spam borne malware, has demanded a need for reliable intelligent anti spam e mail filters. This survey paper describes a focused literature survey of Artificial Intelligence (AI) and Machine Learning (ML) methods for intelligent spam email detection, which we believe can help in developing appropriate countermeasures. In this paper, we considered 4 parts in the email's structure that can be used for intelligent analysis: (A) Headers Provide Routing Information, contain mail transfer agents (MTA) that provide information like email and IP address of each sender and recipient of where the email originated and what stopovers, and final destination. (B) The SMTP Envelope, containing mail exchangers' identification, originating source and destination domains\users.  This comprehensive survey paves the way for future research endeavors addressing theoretical and empirical aspects related to intelligent spam email detection.