nils-herrmann/clean_scirepeval huggingface dataset:
Mental Health Status among the South Indian Pharmacy Students during Covid 19 Pandemic Quarantine Period: A Cross Sectional Study
Venue: medRxiv
Year: 2020

The COVID 19 outbreak created a major panic among all the citizens of the country owing to its severity, contagiousness within the community, lack of specific treatment and possibility of re infection. All these factors along with the uncertain behaviour of the virus lead to state of fear and concern all throught out the nation. The current study represents the mental health survey conducted on the students of South India after the completion of one month quarantine period of the COVID 19 outbreak.  The present study is a cross sectional, web based online survey which consists of 21 item DASS questionnaire. This was used to assess the emotional states of depression, anxiety, and stress. Using Google Forms, the questionnaire was randomly distributed among the pharmacy students of selected colleges. Mean with standard deviation was calculated for continuous variables and the number with percentage was calculated for categorical variables.  A total of 500 participants responded to the questionnaire. More than half of the responses were received from females (65% On assessment it was found that, 26 of respondents reported severe to extremely severe depressive symptoms; 31.5 of respondents reported severe to extremely severe anxiety symptoms, and 19 reported severe to extremely severe stress levels.  In India during the outbreak of COVID 19, an alarming number of students were found to have an impact on mental health due to the outbreak and were observed to have higher levels of stress, anxiety, and depression. The study findings shows the need of conducting more such studies and can be used to prepare appropriate psychological interventions to improve mental health among the young public during the pandemic.
An Investigation into the Socio Cultural Strategy Use and the Writing Competence of Iranian EFL Learners
Year: 2016

The sociocultural approach to writing strategy use emphasizes the importance of context and the mediating resources that learners can use to enhance the quality of their performance in writing (Lei, 2008) Accordingly, the present study explored the sociocultural strategy use of a convenient sample of 105 BA level students of English Language and Literature who had passed essay writing courses in a state university in Iran by analyzing their responses to the items of a newly developed sociocultural strategy use questionnaire consisting of different sub scales, namely, artifact mediated, rule mediated, community mediated and role mediated strategies. The results of the descriptive statistics revealed that the tool mediated strategies, which are the subcategory of artifact mediated strategies, had the highest frequency of use which is rather justified in the context of Iran. In addition, the students' overall strategy use and their writing ability were correlated and a statistically significant relationship was found between these two variables. However, the results of the multiple regression analysis indicated that none of the sub scales had a unique predicting power in accounting for the learners' writing ability. The researchers also compared the sociocultural strategy use of more and less skilled student writers and found a significant difference in the strategy use of different individuals.
Le anfore: indicatori archeologici di produzione, delle rotte commerciali e del reimpiego nel mondo antico
Year: 2009

,La realta della vita quotidiana non e soltanto piena di oggettivazioni: e possibile esclusivamente grazie a loro. Io sono costantemente attorniato da oggetti che <proclamano> le intenzioni soggettive dei miei consimili, sebbene possa a volte dubitare su che cosa un particolare oggetto <proclami> soprattutto se e stato prodotto da uomini che non ho conosciuto bene o non ho conosciuto affatto in incontri diretti. Ogni etnologo o archeologo potra agevolmente testimoniare di questa difficolta, ma il solo fatto che egli puo superarle e ricostruire da un prodotto lavorato le intenzioni soggettive di uomini la cui societa puo essersi estinta da millenni e una prova eloquente delle capacita delle oggettivazioni umane di durare nel tempo" Questo concetto sulla capacita delle oggettivazioni di ,durare nel tempo" espresso dai sociologi P. L. Berger e T. Luckman trova un riscontro eloquente quando si prova ad osservare alcuni elementi decorativi utilizzati per la monumentalizzazione di fontane pubbliche realizzate agli inizi del Novecento. A Roma nel quartiere Testaccio, a Bari nei pressi del Castello Normanno Svevo e in alcune localita della Puglia  per citare solo alcuni esempi, i bassorilievi e i tondi realizzati rappresentano anfore antiche
Sensing behaviour of nanosized zinc tin composite oxide towards liquefied petroleum gas and ethanol
Year: 2010

A chemical route has been used to synthesize composite oxides of zinc and tin. An ammonia solution was added to equal amounts of zinc and tin chloride solutions of same molarities to obtain precipitates. Three portions of these precipitates were annealed at 400, 600 and 800 degC, respectively. Results of X ray diffraction and transmission electron microscopy clearly depicted coexistence of phases of nano sized SnO 2 ZnO, Zn 2 SnO 4 and ZnSnO 3 The effect of annealing on structure, morphology and sensing has been observed as well. It has been observed that annealing promoted growth of Zn 2 SnO 4 and ZnSnO 3 at the expense of zinc. The sensing response of fabricated sensors from these materials to 250 ppm LPG and ethanol has been investigated. The sensor fabricated from powder annealed at 400 degC responded better to LPG than ethanol.
Application of conditional value at risk for credit risk optimization
Year: 2017

The article is dedicated to the optimization of credit risk through the application of Conditional Value at Risk (CVaR) CVaR is a risk measure, the expected loss exceeding Value at Risk and is also known as Mean Excess, Mean Shortfall, or Tail VaR. The link between credit risk and the current financial crisis accentuates the importance of measuring and predicting extreme credit risk. Conditional Value at Risk has become an increasingly popular method for measurement and optimization of extreme market risk. The use of model can regulate all positions in a portfolio of financial instruments in order to minimize CVaR subject to trading and return constraints at the same time. The credit risk distribution is created by Monte Carlo simulations and the optimization problem is solved effectively by linear programming. We apply these CVaR techniques to the optimization of credit risk on portfolio of selected bonds.  value at risk; conditional value at risk; credit risk; portfolio
Crustacean intersexuality is feminization without demasculinization: implications for environmental toxicology.
Venue: Environmental science technology
Year: 2014

The dysfunction associated with intersexuality in vertebrates and molluscs is often a serious threat to ecosystems. Although poorly understood, crustacean intersexuality is associated with contamination and includes forms linked to increased sex ratio distorting parasites at polluted sites. Despite the importance of crustaceans for monitoring vulnerable aquatic habitats, little is known about the molecular basis of this abnormal sexual differentiation and any associated sexual dysfunction. To increase the relevance of crustaceans to environmental toxicologists, we comprehensively analyzed gene expression in amphipods presenting parasite and nonparasite associated intersexuality. Our findings reveal existing vertebrate biomarkers of feminization should not be applied to crustaceans, as orthologous genes are not induced in feminized amphipods. Furthermore, in contrast to vertebrates, where feminization and intersexuality is often associated with deleterious demasculinization, we find males maintain masculinity even when unambiguously feminized. This reveals a considerable regulatory separation of the gene pathways responsible for male and female characteristics and demonstrates that evidence of feminization (even if detected with appropriate biomarkers) is not a proxy for demasculinization in crustaceans. This study has also produced a comprehensive spectrum of potential molecular biomarkers that, when combined with our new molecular understanding, will greatly facilitate the use of crustaceans to monitor aquatic habitats.
Effects of laser shock peening on microstructures and properties of 2195 Al Li alloy
Venue: Journal of Alloys and Compounds
Year: 2019

The effects of laser shock peening (LSP) on microstructures and properties of 2195 Al Li alloy were studied in this paper. The top surface microstructure of this alloy after LSP was observed using transmission electron microscopy (TEM) The change of stress corrosion resistance after LSP was studied by slow strain rate tensile (SSRT) test. Moreover the effect of LSP on the mechanical properties was characterized by the microhardness and the residual stress test. The microstructure observation results suggested that the surface grain of this alloy was refined to the nanometer with size of 93 nm after single LSP and it can be further refined to 70 nm by 3 times LSP, the grain refinement during LSP should be considered as a dislocation evolution process based on the mechanism of rotating dynamic recrystallization (RDR) The results of mechanical properties test showed that LSP could improve the hardness and introduce the residual compressive stress in the surface of target alloy, and the 3 times LSP can further improve the properties on the base of single LSP. Furthermore, the experimental results of SSRT indicated that LSP was an effective method to improve the resistance to stress corrosion of 2195 Al Li alloy, because the residual compressive stress and refined grains in the surface can prevent the initiation and growth of cracks, while retard the stress corrosion cracking.
Auction based game theory in cognitive radio networks for dynamic spectrum allocation
Venue: Comput. Electr. Eng.
Year: 2020

Cognitive radio is an emerging technology that has a high potential to deal with the scarcity problem in the radio spectrum. Dynamic spectrum access in cognitive networks enhances the efficiency of spectral utilization by cognitive users (unlicensed users) Auction mechanism approach helps the cognitive users to get a part of the unused license band, for a lease, from the primary users (licensed users) Based on the interference constraints, auction methods share the leased band to many cognitive users with negligible mutual interference. Because of this unique feature, the multi winner auction is a fresh challenge to the existing auction mechanisms like (Vickrey Clarke Groves) VCG and Second price auction. The proposed method uses interference based constraints and satisfaction levels among the cognitive users to select the winner of the pricing based game. In this paper, a new framework plans to manipulate the multi winner auction mechanism, based upon a pricing strategy to overcome the drawbacks of the traditional mechanisms. The proposed mechanism enhances the spectral efficiency of the cognitive users and also motivates the primary users to lease the bands to the cognitive users, with increased primary user revenue. Fairness among cognitive users ensures this mechanism. Simulation results show that our mechanism increases the spectral efficiency of cognitive users and the revenue of primary users.
Research on Time Frequency Synchronization Technology of Multistatic Joint Observation
Year: 2020

The multi station joint detection of non cooperative targets, such as high dynamic space debris and aircraft, requires the synchronization of time, frequency and phase between stations, and the synchronization performance could affect the observation accuracy. In view of the requirement, the time, frequency synchronization requirements and resource conditions of space debris joint exploration platform has been analyzed in this paper. Based on the capability of satellite Common View/All View time transfer and time steering algorithm, a method of time frequency signal remote synchronization which is not limited by distance and can be flexibly networking has been proposed. The time synchronization performance of three types of frequency references, including passive hydrogen clock, rubidium clock and crystal oscillator, which have been compared under the 300 km, 30 km and zero km baseline. The results show that the accuracy and stability of the frequency reference is directly proportional to the synchronization performance between stations. When the passive hydrogen maser or rubidium atomic clock is used as the frequency reference, the synchronization deviation between stations can be less than 5 ns, and the frequency deviation is better than 5E 14. When the OCXO is used as the reference, the frequency deviation is less than 5E 12, which can meet the requirements of positioning of tens to several meters.
Quality analysis of source code comments
Venue: 2013 21st International Conference on Program Comprehension (ICPC)
Year: 2013

A significant amount of source code in software systems consists of comments, i. e. parts of the code which are ignored by the compiler. Comments in code represent a main source for system documentation and are hence key for source code understanding with respect to development and maintenance. Although many software developers consider comments to be crucial for program understanding, existing approaches for software quality analysis ignore system commenting or make only quantitative claims. Hence, current quality analyzes do not take a significant part of the software into account. In this work, we present a first detailed approach for quality analysis and assessment of code comments. The approach provides a model for comment quality which is based on different comment categories. To categorize comments, we use machine learning on Java and C/C+ programs. The model comprises different quality aspects: by providing metrics tailored to suit specific categories, we show how quality aspects of the model can be assessed. The validity of the metrics is evaluated with a survey among 16 experienced software developers, a case study demonstrates the relevance of the metrics in practice.
A production inventory model with deteriorating items and retrial demands
Year: 2020

This paper considers a single server perishable inventory system in which customers arrive in a homogeneous Poisson stream. The system has a production unit which produces a single item in an exponentially distributed time interval. At the time of arrival, a customer leads to service if the server is available with a positive level of inventory. Otherwise, the customer goes to a waiting place(orbit) of infinite capacity with pre determined probability or exits the system with complementary probability. Each customer in the orbit tries to access the server in an exponentially distributed time interval. After every unsuccessful retrial, the customer returns to the orbit with a pre allotted probability or is lost forever with complementary probability. An algorithmic solution to the problem is obtained using Matrix Analytic Method. The mean number of customer loss before and after entering the system, the rate of successful retrials among overall retrials and some other performance measures of the system are derived. The impacts of system parameters on different measures are numerically studied. A suitable cost function is constructed and the optimum control policy is numerically obtained.
Frustration and anger in the Ultimatum Game: An experiment
Venue: Games Econ. Behav.
Year: 2020

In social dilemmas, choices may depend on belief dependent motivations enhancing the credibility of promises or threats at odds with personal gain maximization. We address this issue theoretically and experimentally in the context of the Ultimatum Minigame, assuming that the choice of accepting or rejecting an unfair proposal is affected by a combination of frustration, due to unfulfilled expectations, and inequity aversion. We increase the responder's payoff from the default allocation (the proposer's outside option) with the purpose of increasing the responder's frustration due to the unfair proposal, and thus his willingness to reject it. In addition, we manipulate the method of play, with the purpose of switching on (direct response method) and off (strategy method) the responder's experience of anger. Our behavioral predictions across and within treatments are derived from the theoretical model complemented by explicit auxiliary assumptions, without relying on equilibrium analysis.  Experiments, psychological games, ultimatum minigame, frustration, anger, non equilibrium analysis.
Arthropods Associated with Aloe lettyae, an Endangered South African Woodbush Granite Grassland Plant Endemic
Venue: African Entomology
Year: 2020

Investigations into arthropod aloe associations are focused mostly on aloe pollination and on aloe pests, while little is known about other ecological aspects of these associations. During a broader ecological study on the summer flowering grassland endemic Aloe lettyae, we documented evidence of two arachnid aloe interactions and 13 insect taxa occurring on or in parts of A. lettyae plants (n 1084) in a representative sample of seven A. lettyae populations. Our data suggest that, of the insects observed, only honeybees play a part in A. lettyae pollination, while the other insect species were either visiting or feeding on A. lettyae reproductive plant parts. This paper presents additional records of an herbivorous insect aloe interaction for the cerambycid beetle Nemotragus helvolus and the drosophilid fly Apenthecia cf. crassiseta, and documents the parasitoid wasp Afrostilba sp. associated with the latter.
Spatial change detection using normal distributions transform
Year: 2019

Spatial change detection is a fundamental technique for finding the differences between two or more pieces of geometrical information. This technique is critical in some robotic applications, such as search and rescue, security, and surveillance. In these applications, it is desirable to find the differences quickly and robustly. The present paper proposes a fast and robust spatial change detection technique for a mobile robot using an on board range sensors and a highly precise 3D map created by a 3D laser scanner. This technique first converts point clouds in a map and measured data to grid data (ND voxels) using normal distributions transform. The voxels in the map and the measured data are then compared according to the features of the ND voxels. Three techniques are introduced to make the proposed system robust for noise, that is, classification of point distribution, overlapping of voxels, and voting using consecutive sensing. The present paper shows the results of indoor and outdoor experiments using an RGB D camera and an omni directional laser scanner mounted on a mobile robot to confirm the performance of the proposed technique.
Summary of Transceiver Isolation Technology for CW Radar Microstrip Antenna
Venue: 2020 5th International Conference on Electromechanical Control Technology and Transportation (ICECTT)
Year: 2020

The leakage of transmitter signal seriously restricts the improvement of CW radar detection performance. Microstrip antenna is widely used in miniature CW radars, and its isolation performance is the key to restrict the detection ability of miniature CW radars. In this paper, the techniques of suppressing transmitter signal leakage in CW radar system are analyzed, including transceiver channel cancellation, signal processing, and antenna isolation technology, It is pointed out that the transmission and reception isolation of microstrip antennas is mainly realized by spatial isolation technology, including two types of spatial wave isolation and surface wave isolation. The principles, characteristics and applications of spatial wave isolation technology and surface wave isolation technology are analyzed in detail. Finally, it is pointed out that the main goal of increasing the transceiver isolation is to improve the sensitivity. It is difficult for a single technology to meet the requirements of isolation, and it is necessary to implement multiple methods based on the specific application.
A Fast Classification Approach to Upper Limb Posture Recognition
Venue: 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)
Year: 2020

At present, the study of upper limb posture recognition is still in the primary stage, due to the diversity of the objective environment and the complexity of the human body posture, the upper limb posture has no Public dataset. In this paper, an upper extremity data acquisition system is designed, with a three channel Data acquisition mode, collect acceleration signal and gyroscope signal as sample data. The data sets were pre processed with de weighting, interpolation, and feature extraction. With the goal of recognizing human posture, experiments with KNN, logistic regression, and random gradient descent algorithms were conducted. In order to verify the superiority of each algorithm, the data window was adjusted to compare the recognition speed, computation time and accuracy of each classifier. For the problem of improving the accuracy of human posture recognition, a neural network model based on full connectivity is developed. In the process of constructing the network model, the effects of different hidden layers, activation functions, and optimizers on the recognition rate were experimentally for the comparative analysis, the softplus activation function with better recognition performance and the adagrad optimizer are selected. Finally, by comparing the comprehensive recognition accuracy and time efficiency with other classification models, the fully connected neural network is verified in the human posture Superiority in Identification.
Model based strategies for fault detection and diagnosis in grid connected photovoltaic plants
Year: 2020

The need of sustainable energy solutions is a demand nowadays due to the high electricity consumption in combination with the desired environmental friendly solutions for power production development. Photovoltaic (PV) energy, which has gained a central place in the governments' energy policies, is a promising solution to address the aforementioned concerns. Despite the advanced tools for PV power generation, several factors can significantly affect the PV system performance by decreasing its efficiency. Indeed, PV systems are frequently exposed to different sources of faults and failures that affect the power generated by the PV modules. These faults can considerably reduce its production efficiency and the lifespan of PV arrays. This is mainly due to external interferences or faults resulting from dust accumulation on PV modules, aging of PV modules, shading, MPPT error, and inverters faults. PV plants, especially its DC side might be subject to defects and anomalies causing a drop of the overall system performance or even their total unavailability. Therefore, a real time early fault detection and diagnosis procedure is crucial, not only for lowering maintenance cost and time, but also to avoid any energy losses, damage to equipment and safety hazards.