Miracle-dz/UniFAR-FTUs huggingface dataset:
The Issues of Madrasa Students in Pakistan : A Qualitative Investigation

The objective of the present study was to investigate the realities and issues of madrasas students in the Islamic Republic of Pakistan. The word madrasa is used for religious school in Pakistan. The current paper highlights the problems of madrasa students as a serious issue in Pakistan, which is almost unexplored area in Pakistan, data are scarce. In the present study individual interviews were conducted, applying a qualitative approach for getting the in depth knowledge about the subject. Grounded theory method was used for data analysis and NVIVO – 10 was used for information processing. Majority of the madrasas students shared that we had to issues like unemployment, poor infrastructure of madrasas, lack of water, electricity, the concept of fundraising, which negatively effects self-respect and ego of the students, and named as terrorist is another problem for madrasa students, which rise to economic hardship. The participants also pointed out few fundamental roles madrassa plays in society. First, it provides divine knowledge; second, it accommodates marginalized population of society; third, it manufactures nonviolent and literate citizens, which eventually provide them opportunities of employment, and by this way, helps the state. The findings of the present study possibly will assist the all stakeholders to resolve the issues of madrasa students in Pakistan.
QUALITY OF LIFE AND SOCIAL SUPPORT AMONG.PEOPLE FROM DIFFERENT ETHNIC GROUPS.(ESRC NO. L480254037)

Until recently, the issue of ethnicity was neglected in both ageing research and policy (Blakemore and Boneham 1994). The increase in the proportion of older people from minority ethnic groups in Britain (Warnes 1996) has encouraged a recognition that ethnicity may impact upon the life course in the same way as do other ways of differentiating between groups, such as gender or age (McMullin 1995). Nevertheless, there are considerable challenges in making comparisons on the basis of ethnicity. Ethnic identity is a complex and dynamic concept encompassing ideas such as a shared past, language, identification with a specific religion and a distinctive culture (Blakemore and Boneham 1994; Fenton 1996). How people define their ethnicity may vary according to time and context. The relationship between ethnicity and self identity is not static and may assume greater or lesser importance at different points in the life course (Rowland 1991).
Überlebens- und Komplikationsraten von implantatgetragenen CAD/CAM-Einzelkronen aus Lithiumdisilikat

ufgrund ihrer guten mechanischen Eigenschaften werden CAD/CAM gefertigte Lithiumdisilikat-Glaskeramikkronen zunehend zur prothetischen Versorgung von Implantaten eingesetzt. Die vorliegende klinisch-retrospektive Untersuchung zeigt ach einer mittleren Beobachtungszeit von 3 1⁄2 Jahren, dass Lithiumdisilikat-Kronen vergleichbar niedrige Verlustund Kompliationsraten aufweisen, wie andere Vollkeramikrekonstruktionen auf Einzelimplantaten. / Due to their good mechanical proerties CAD/CAM-fabricated lithium-disilicate glass-ceramic crowns are in increasing use for implant-supported prosthetic resorations. The following clinical retrospective study showed that lithium-disilicate crowns have comparably lower failure and omplication rates than other all-ceramic restorations on single implants after a mean observation time of 3 1⁄2 years.
Partnership for Advanced Computing in Europe Using State-OfThe-Art Sparse Matrix Optimizations for Accelerating the Performance of Elmer

Multiphysics simulations are at the core of modern Computer Aided Engineering (CAE) allowing the analysis of multiple, simultaneously acting physical phenomena. These simulations often rely on Finite Element Methods (FEM) and the solution of large linear systems which, in turn, end up in multiple calls of the costly Sparse Matrix-Vector Multiplication (SpM×V) kernel. We have recently proposed the Compressed Sparse eXtended (CSX) format, which applies aggressive compression to the column indexing structure of the CSR format and is able to provide an average performance improvement of more than 40% over multithreaded CSR implementations. This work integrates CSX into the Elmer multiphysics simulation software and evaluates its impact on the total execution time of the solver. Despite its preprocessing cost, CSX is able to improve by almost 40% the performance of the Elmer’s SpM×V component (using multithreaded CSR) and provides an up to 15% performance gain in the overall solver time after 1000 linear system iterations. To our knowledge, this is one of the first attempts to evaluate the real impact of an innovative sparse-matrix storage format within a ‘production’ multiphysics software.
Implementation Levels of a Life-Skill Based School Health Program in a Caribbean Country

Background: The purpose of this study is to determine the levels of implementation of a School health program implemented in schools in a Caribbean Island State. The Health and Family Life Education (HFLE) program was developed and being implemented in the Caribbean Island states with the aim to enable students acquire healthy life styles; this program can be taught through the life-skill approach. Methods: This qualitative study was done as a case study of a Caribbean Island state, Trinidad and Tobago using key stakeholders namely key informants who have experience with the program and teachers involved in the teaching of the program. A form of triangulation was utilized for data collection as a face to face interviews with key informants was conducted while two sessions of focus group with the participating teachers were done. Themes which in some instances were actual statements of the participants gathered from the interviews and sessions were presented as the results. Result: Findings from the data collected revealed three (3) levels of implementation of the program as identified by the study participants. Discussion: The implications of the findings were discussed vis-a-vis literature. Recommendations: Among others, and given the stated benefits of the program from the participants, researchers recommend that the concerted effort be made to accommodate the full implementation of the
Retina Retinal Vascular Changes During Pregnancy Detected With Optical Coherence Tomography Angiography

Karntida Chanwimol, Siva Balasubramanian, Marco Nassisi, Stephanie L. Gaw, Carla Janzen, David Sarraf, Srinivas R. Sadda, and Irena Tsui Doheny Image Reading Center, University of California-Los Angeles (UCLA), Los Angeles, California, United States Department of Ophthalmology, Mettapracharak Hospital, Nakorn Pathom, Thailand Department of Ophthalmology, Stein Eye Institute, UCLA, Los Angeles, California, United States Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, California, United States Department of Obstetrics and Gynecology, UCLA, Los Angeles, California, United States
Fast algorithm for the visualization of surfaces

In several engineering applications such as mechanism design or control theory, it is important to visualize the solution surface of an implicit equation of the form f(x, y, z) = 0. The first efficient algorithm to visualize such surface was the marching cube [5], and was enhanced more recently with variants such as surface nets [1, 3] and dual contouring [4]. These algorithms are based on the evaluation of the function f on a regular grid of points in R3.
Retina Elevated Steroid Hormone Levels in Active Chronic Central Serous Chorioretinopathy

Rosa L. Schellevis, Lebriz Altay, Asha Kalisingh, Timo W. F. Mulders, Vasilena Sitnilska, Carel B. Hoyng, Camiel J. F. Boon, Joannes M. M. Groenewoud, Eiko K. de Jong, and Anneke I. den Hollander Department of Ophthalmology, Donders Institute of Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands Department of Ophthalmology, University Hospital of Cologne, Cologne, Germany Department of Ophthalmology, Leiden University Medical Center, Leiden, The Netherlands Department of Ophthalmology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands Department for Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands Department of Human Genetics, Donders Institute of Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
Aplicaciones de la técnica de "topic model" en repositorios software

Resumen—Los equipos de desarrollo software usan repositorios de proyectos, accesibles mediante forjas como Github, donde aplican un proceso iterativo e incremental. En el proceso se incluyen actividades como: gestión de tareas, gestión de versiones, codificación, pruebas, documentación, revisiones de calidad y despliegue de aplicaciones. Durante estas actividades se generan múltiples productos a través de complejas interacciones entre sus participantes. La caracterización tanto de productos como de interacciones basadas en texto es un primer paso para comprender y hacer más eficiente la gestión del proyecto. La técnica de aprendizaje textual denominada modelo de temas (topic model), mejora la comprensión de grandes cantidades de datos textuales agrupando los documentos en temas. Con el objetivo de poder mejorar las actividades de un proceso de desarrollo software, en este trabajo se presenta una revisión bibliográfica de cómo se está aplicando la técnica de aprendizaje automático y cuáles son los resultados de su aplicación en el contexto del proceso de desarrollo software.
Using Facebook Reactions to Recognize Emotion in Political Domain

Opinion Mining and Emotion Mining are part of the Sentiment Analysis area, but they have different objectives. Opinion Mining is concerned with the study of opinions expressed in texts and its basic task is polarity detection, whereas Emotion Mining is related to the study of emotions and its basic task is emotion recognition. Polarity detection is usually a binary classification task with outputs such as positive vs. negative or like vs. dislike, while emotion recognition aims to enable computers recognize and express emotions. In this paper we focus on Spanish emotion classification. We first compile a corpus from Facebook using the reactions in comments and posts in order to label different emotions. Then we apply a basic machine-learning approach and two lexicon-based approaches, one using a Spanish version of the NRC Emotion Lexicon (Emolex) and another adapting WordNet-Affect to Spanish. The results demonstrate the difficulty of the task and show some interesting features in the lexicon approaches.
Multi-parameter streaming outlier detection

Distance-based outlier detection techniques is a wide-spread methodology for anomaly detection. Despite their effectiveness, a main limitation is that they heavily rely on the dataset and the parameters chosen in order to establish the right status of each data point. These parameters typically include, but are not limited to, the neighborhood radius and threshold. In continuous streaming environments, the need for real-time analysis does not permit for an algorithm to be restarted multiple times with different parameters until the right combination is specified. This gives rise to the need for one technique that combines an arbitrary number of parameterizations with the use of minimal yet sufficient computer resources. In this work we both compare the state-of-the-art techniques for handling multiple queries in distance-based outlier detection algorithms and we propose a novel technique for multi-parameter distance-based outlier detection tailored to distributed continuous streaming environments, such as Spark and Flink. CCS CONCEPTS • Information systems $\rightarrow$Data stream mining;• Computing methodologies$\rightarrow$Anomaly detection; Massively parallel algorithms.
Hunter e gatherer use of wild plants and domesticates : archaeological implications for mixed economies before agricultural intensi fi cation q

Much of our success as a species derives from the ability to adapt hunting and gathering to diverse ecologies and incorporate a wide range of food resources. Hunteregatherers maintain broad dietary options through an array of alternative and fallback strategies. While many decisions facing foragers have been analyzed, few paired nutritional and return rate data are available, especially in relation to the value of wild roots. Ethnoarchaeological data from a group of South American hunteregatherers allow us to comparatively assess the value of root resources by observing what mobile foragers do when presented with the option to retain or replace wild foods with domesticates. Nutritional content and foraging returns indicate that cultivated tubers provide no clear nutritional or labor advantages. Evidence also does not suggest that wild roots are inferior resources. This may explain why some foragers incorporate domesticates without replacing dependence on wild foods, or signaling a transition to an agrarian economy. This perspective has archaeological implications for modeling of past subsistence during initial and early exploitation of cultigens. 2013 Elsevier Ltd. All rights reserved.
Based Offshore Wind Farm Grid Integration by VSC-HVDC with LCC-HVDC Transmission and improvement in Dynamic Stability using STATCOM

1 PG Scholar, Dept of EEE, Holy Mary Institute of Technology & Science, Keesara, Hyderabad, Andhrapradesh, India. E-mail: quddsia.massarath@gmail.com. 2 Prof, Dept of EEE, Holy Mary Institute of Technology & Science, Keesara, Hyderabad, Andhrapradesh, India. E-mail: csomasankarappa@gmail.com. 3 Assoc Prof, Dept of EEE, Holy Mary Institute of Technology & Science, Keesara, Hyderabad, Andhrapradesh, India. E-mail: krmohan.v@gmail.com. 4 Asst Prof, Dept of EEE, Holy Mary Institute of Technology & Science, Keesara, Hyderabad, Andhrapradesh, India. E-mail: y.rambabu. mtech@gmail.com. Abstract: For the transmission of large amount of power over long distances, LCC-HVDC is the most widely used technology around the world. However, VSC-HVDC is appreciated for the integration of renewable energy sources, e.g., offshore wind farms. This paper deals with the feasibility of using a conventional LCC-HVDC in combination with a VSC through a dc cable to integrate offshore wind farms. The integrated model is a hybrid HVDC. The operational features of a model of three-terminal hybrid HVDC, two LCC stations and one VSC station, is investigated using MATLAB/Simulink. The simulations include an aggregate model to emulate the wind farm. The corresponding control strategies are proposed for each terminal and verified under various conditions including wind speed variations and ac faults. This paper also investigates the use STATCOM along with wind farms for the purpose of stabilizing the grid voltage after grid-side disturbances such as a three phase short circuit fault, temporary trip of a wind turbine and sudden load changes.
Effective and Light-Weight Deobfuscation and Semantic-Aware Attack Detection for PowerShell Scripts

In recent years, PowerShell is increasingly reported to appear in a variety of cyber attacks ranging from advanced persistent threat, ransomware, phishing emails, cryptojacking, financial threats, to fileless attacks. However, since the PowerShell language is dynamic by design and can construct script pieces at different levels, state-of-the-art static analysis based PowerShell attack detection approaches are inherently vulnerable to obfuscations. To overcome this challenge, in this paper we design the first effective and light-weight deobfuscation approach for PowerShell scripts. To address the challenge in precisely identifying the recoverable script pieces, we design a novel subtree-based deobfuscation method that performs obfuscation detection and emulation-based recovery at the level of subtrees in the abstract syntax tree of PowerShell scripts. Building upon the new deobfuscation method, we are able to further design the first semantic-aware PowerShell attack detection system. To enable semantic-based detection, we leverage the classic objective-oriented association mining algorithm and newly identify 31 semantic signatures for PowerShell attacks. We perform an evaluation on a collection of 2342 benign samples and 4141 malicious samples, and find that our deobfuscation method takes less than 0.5 seconds on average and meanwhile increases the similarity between the obfuscated and original scripts from only 0.5% to around 80%, which is thus both effective and light-weight. In addition, with our deobfuscation applied, the attack detection rates for Windows Defender and VirusTotal increase substantially from 0.3% and 2.65% to 75.0% and 90.0%, respectively. Furthermore, when our deobfuscation is applied, our semantic-aware attack detection system outperforms both Windows Defender and VirusTotal with a 92.3% true positive rate and a 0% false positive rate on average.
Possible changes in hematological parameters of the patients with obstructive sleep apnea

Methods:This retrospective study included individuals who underwent a polysomnography test. Patients were divided into 4 groups based on their apnea-hypopnea index: normal, mild, moderate, and severe OSA. Hemoglobin (HGB), red blood cell (RBC), hematocrit (HCT), red cell distribution width (RDW), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), white blood cell (WBC), #neutrophil, #lymphocyte, erythrocyte sedimentation rate (ESR) and serum lactate dehydrogenase (LDH) levels were evaluated.
Line Area Monitoring using Structural Similarity Index

Real-time motion detection in specific area is considered the most important task in every video surveillance system. In this paper, a novel real time motion detection algorithm introduced to process Line zones called Line Monitoring Algorithm (LMA). This algorithm integrates Bresenham’s Algorithm and Structural Similarity Index (SSI) in order to achieve the best performance. Bresenham’s Algorithm is used to collect line pixels from two given points. Then, the SSI is used for real-time calculation of similarity for line motion detection. The most attractive side of using the LMA is that the algorithm does not need to compare all pixels of the whole images or regions for line areas monitoring. This algorithm has high capability, treatment speed and efficiency for motion detection and also demands less compilation time for the hardware performance. The main objective of this paper is to use a video surveillance system implementing LMA to supervise the Car Reverse Test (CRT) for driving license exam in Morocco. The evaluation of the experiment results in implementing the proposed algorithm is reported in this paper. Keywords—Bresenham’s Algorithm; Structural Similarity Index; SSI; motion detection; Line Monitoring Algorithm; LMA; OpenCV; surveillance; camera; video surveillance system
LEARNING TO LEARN FROM SIMILAR OTHERS : APPROXIMATE BAYESIAN COMPUTATION THROUGH BABBLING

To emerge and persist over cultural transmission, complex linguistic structures must be learnable from noisy, incomplete linguistic data. Rational statistical inference provides a compelling solution to inductive problems at many levels of linguistic structure. However, from an evolutionary perspective, a core question concerns how language learners could be equipped to approximate rational inferences under limited cognitive resources. We present a computational account of how self-simulation of linguistic data can aid otherwise challenging probabilistic inferences during language acquisition – a shortcut made possible because humans acquire language from linguistic data produced by other humans. Through an analogy with a class of computational techniques known as Approximate Bayesian Computation, we show how the capacity to produce language data can leverage computationally-cheap inductive leaps that approximate rational inference when learning language. We derive an approximate inference model for an idealised problem in the acquisition of speech sounds through babbling – a problem in which the gestural source of those sounds is invisible to the learner but must be reverse-engineered. We simulate the dynamics of cultural transmission under this model, and discuss implications for the evolution of speech and language.
Binding thermodynamics of host-guest systems with SMIRNOFF99Frosst 1.0.5 from the Open Force Field Initiative.

Designing ligands that bind their target biomolecules with high affinity and specificity is a key step in small-molecule drug discovery, but accurately predicting protein-ligand binding free energies remains challenging. Key sources of errors in the calculations include inadequate sampling of conformational space, ambiguous protonation states, and errors in force fields. Noncovalent complexes between a host molecule with a binding cavity and a drug-like guest molecules have emerged as powerful model systems. As model systems, host-guest complexes reduce many of the errors in more complex protein-ligand binding systems, as their small size greatly facilitates conformational sampling, and one can choose systems that avoid ambiguities in protonation states. These features, combined with their ease of experimental characterization, make host-guest systems ideal model systems to test and ultimately optimize force fields in the context of binding thermodynamics calculations. The Open Force Field Initiative aims to create a modern, open software infrastructure for automatically generating and assessing force fields using data sets. The first force field to arise out of this effort, named SMIRNOFF99Frosst, has approximately one tenth the number of parameters, in version 1.0. 5, compared to typical general small molecule force fields, such as GAFF. Here, we evaluate the accuracy of this initial force field, using free energy calculations of 43 α and β-cyclodextrin host-guest pairs for which experimental thermodynamic data are available, and compare with matched calculations using two versions of GAFF. For all three force fields, we used TIP3P water and AM1-BCC charges. The calculations are performed using the attach-pull-release (APR) method as implemented in the open source package, pAPRika. For binding free energies, the root mean square error of the SMIRNOFF99Frosst calculations relative to experiment is 0.9 [0.7, 1.1] kcal/mol, while the corresponding results for GAFF 1.7 and GAFF 2.1 are 0.9 [0.7, 1.1] kcal/mol and 1.7 [1.5, 1.9] kcal/mol, respectively, with 95% confidence ranges in brackets. These results suggest that SMIRNOFF99Frosst performs competitively with existing small molecule force fields and is a parsimonious starting point for optimization.
Survey on Age Estimation System

There has been a enlarge interest in the automatic determination of age from facial photograph due to a lot of inherent applications. However, in spite of advances in automatic age estimation, it remains a difficult problem because the face aging process does not depend only by intrinsic factors, e.g. genetic factors, but also on extrinsic factors, e.g. lifestyle, environment, and expression. The recognition properties of face images have been well investigated in real-world applications. Although the wide survey of person recognition from face images, there is only a small amount of research carried out on how to exactly estimate and use the analytical information contained in face images such as age, gender, and nationality. Some of the inherent applications of automatic estimation of age are: (i)Law enforcement: Automatic age estimation systems will facilitate to see the inherent suspects more accurately and expertly by sorting the gallery database of images using the estimated age of the input photographs. (ii)Security control: an Associate degree automatic age estimation system can be used to prohibit minors from buying alcohol or cigarette from vending machines or getting access to improper web pages. (iii)Human-computer interaction (HCI) -the system can modify the contents given to a