Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Context on Motor Cortex Coding of Load and Grasp

It is known that neurons in ventral premotor cortex (PMv) and MI can represent specific grips. Are these neural representations of grip type the same if learned associations or online visual sensory information cues the movement? Two tasks were developed to ask this question. One was termed “cued grasping with instructed delay” (CGID), which relies on a learned abstract colored light cue. The second was the “free reach to grasp” (FRG), which was primarily guided by the online visual processing of a swinging object. Based on previous work on ventral premotor cortex, a context model was created. PMv has been shown to encode distal arm motion and the modulation of these neurons has been shown to relate to particular types of grip, such as power and precision. During the movement period, are the neurons and neuronal population also responding to the task type? A model based on the assumption that grip type encoding was an invariant property of the motor cortex neurons would predict no change in the neural modulation when performing the same grips in the two task contexts. The neural modulation in rostral PMv is thought to be particularly consistent for a given grip type. If correct, these neurons should be context insensitive. Here we test PMv or MI for clustering of context sensitive or insensitive neurons. Quantitative analyses were made of 437 MI and 768 PMv neurons from two monkeys over four sessions in which both tasks were performed in the same session. The time period analyzed for the task was centered on hand contact of
“I just looked for the solution!”On Integrating Security-Relevant Information in Non-Security API Documentation to Support Secure Coding Practices

Software developers build complex systems using plenty of third-party libraries. Documentation is key to understand and use the functionality provided via the libraries’ APIs. Therefore, functionality is the main focus of contemporary API documentation, while cross-cutting concerns such as security are almost never considered at all, especially when the API itself does not provide security features. Documentations of JavaScript libraries for use in web applications, e.g., do not specify how to add or adapt a Content Security Policy (CSP) to mitigate content injection attacks like Cross-Site Scripting (XSS). This is unfortunate, as security-relevant API documentation might have an influence on secure coding practices and prevailing major vulnerabilities such as XSS. For the first time, we study the effects of integrating security-relevant information in non-security API documentation. For this purpose, we took CSP as an exemplary study object and extended the official Google Maps JavaScript API documentation with security-relevant CSP information in three distinct manners. Then, we evaluated the usage of these variations in a between-group eye-tracking lab study involving N=49 participants. Our observations suggest: (1) Developers are focused on elements with code examples. They mostly skim the documentation while searching for a quick solution to their programming task. This finding gives further evidence to results of related studies. (2) The location where CSP-related code examples are placed in non-security API documentation significantly impacts the time it takes to find this security-relevant information. In particular, the study results showed that the proximity to functional-related code examples in documentation is a decisive factor. (3) Examples significantly help to produce secure CSP solutions. (4) Developers have additional information needs that our approach cannot meet. Overall, our study contributes to a first understanding of the impact of security-relevant information in non-security API documentation on CSP implementation. Although further research is required, our findings emphasize that API producers should take responsibility for adequately documenting security aspects and thus supporting the sensibility and training of developers to implement secure systems. This responsibility also holds in seemingly non-security relevant contexts.
Self Medication- A rising trend, should doctors be worried?

Rising availability of over the counter and prescription medication has led to the increasing trend of self medication. This study is an attempt to determine the prevalence of this behaviour in the Indian population and also identify the type of disorders for which self medication is commonly used. This is a questionnaire based survey done on 162 study subjects sent to them via E-mail and the data analysed using appropriate statistical methods. As per our study prevalence of the behaviour of self medication was found in 70.3% of the population, which was similar to the other studies. Milder disorders like common cold, fever and headache was the medical conditions for which most commonly self medications were used. Allopathic was the most prevalent system of medicine which was self prescribed.No association was found between age, sex and educational status with the pattern of self medication. Conclusion: Self Medication has shown a rising trend which has its risks and benefits. Every doctor must be aware of this trend and must enquire regarding the same among all their patients. Patient education is key to making self medication a safe practice. *Corresponding Author Email: soniaahuji@rediffmail.com Received 05 September 2019, Accepted 19 September 2019
Dual-Consensus-Based Distributed Frequency Control for Multiple Energy Storage Systems

Intermittent renewable energy sources are being increasingly integrated into modern power networks. This leads to severe frequency fluctuations in the networks. Energy storage systems can be used for frequency restoration due to their capability to provide in-time active power compensations. This paper examines the frequency control problem for power systems with multiple distributed battery energy storage systems (BESSs). A dual-consensus-based approach is presented for distributed frequency control. It consists of three main components: 1) tuning of the BESS control gain; 2) design of control signals as inputs to BESSs for proportional use of the preserved energy; and 3) estimation of BESS parameters for control implementation. A static parameter and a time-varying parameter are defined, and their average values are estimated through static average consensus (SAC) and dynamic average consensus (DAC) algorithms, respectively. Case studies are conducted to demonstrate our dual-consensus control approach.
HEMATOLOGICAL AND SERUM BIOCHEMICAL PROFILE IN EAST BALKAN PIGS AT DIFFERENT AGE AND SEASONS

Twelvehematological and fifteen serum biochemical parameters were determined in indigenous East Balkan pigs at different ages and two seasons. The experiment was carried out in the Scientific Centre of Agriculture- Sredets aiming to characterize the health status of the animals when reared organically. Blood samples were taken from pre-weaned piglets (n=10), growers (n=10) and sows (n=10) in spring and summer. The results were analysed through two way ANOVA to assess the influence of the age, season and their interaction on the hematological and serum biochemical profile of the animals. Both age and season interacted significantly in regard to the red blood cells count (RBC) (P0.001), hemoglobin (HGB) (P0.001) and hematocrit (HCT) (P0.01), as well as in the most biochemical parameters including creatinine(P0.001), total protein (TP) (P0.001), albumin (ALB) (P0.001), alanine aminotransferase (ALT) (P0.001), aspartate aminotransferase (AST) (P0.01), uric acid (UA) (P0.01), Mg (P0.001), triglycerides (TG) (P0.05) and cholesterol (P0.01). Regardless of the season, the white blood cells (WBC) including lymphocytes and granulocytes, as well as platelets (PLT)decreased with age, while mean corpuscular volume (MCV) increased.The content of glucose, urea, gamma-glutamil transferase (GGT), alkaline phosphatase (ALP), Ca and P which displayed maximal values in preweaned pigs (P0.05) compared to the other age groups (P0.05). The season affected the number of lymphocytes (P0.01), their percent (P0.001), mean corpuscular hemoglobin (MCH) andmean corpuscular hemoglobin concentration (MCHC) (P0.001), as well as the concentration of GGT (P0.001) which increased during summer,and also granulocytes (P0.01), their percentage (P0.001), PLT (P0.05), glucose, urea, ALP, Ca (P0.001) and P (P0.01) whichwere higher in spring.
Real-world effectiveness of Glasgow prognostic score and tumor biomarkers in predicting post-relapse survival in patients with recurrent cervical cancer after minimally invasive surgery

Background Cervical cancer ranks the third most common malignancy of women worldwide, and recurrence of cervical cancer treatment is the major concern. Carcinoembryonic antigen (CEA), carbohydrate antigen 125 (CA125), squamous cell carcinoma antigen (SCCA) and Glasgow Prognostic Score (GPS) were potential prognostic indicator for cervical cancer. However, none of these markers have been evaluated to predict post-relapse survival in recurrent cervical cancer after treatment based on real-world clinical data. Aim To evaluate biomarkers CEA, CA125, SCCA and Glasgow Prognostic Score (GPS) in predicting post-relapse survival in recurrent cervical cancer after treatment based on real-world clinical data. Results Among the 1607 patients, the majority of patients (75.5%) were non-smokers, and the majority of histologic type (68.3%) was squamous cell carcinoma. Except CEA, there were significant difference between different GPS groups in these markers. Areas under the curves (AUC) for GPS, CEA, CA125 and SCCA were 0.632, 0.617, 0.641 and 0.628, respectively. All clinicopathologic characteristics were significantly correlated with CA125. Higher levels of biomarkers and GPS had lower survival and GPS=2 and SCCA was an independent prognostic factor for survival (P=0.008 and P=0.010, respectively). Conclusions In real-world settings, GPS and tumor biomarkers, especially SCCA to independently predict post-recurrence survival in patients with recurrent cervical cancer.
Developing a multidisciplinary digital forensic readiness model for evidentiary data handling

II DECLARATION . IV ETHICS CLEARANCE . V ACKNOWLEDGEMENTS . VI LIST OF FIGURES . X LIST OF TABLES . XI 1. CHAPTER 1: INTRODUCTION . 1 1.
Influence of inland vessel stern shape aspects on propulsive performance: Derivation of insights and guidelines based on a computational study

This research focuses on identifying the most important stern shape aspects, with regard to resistance and propulsion power, of inland ships. Such information should help designers to determine which hull form aspect to adjust in case design requirements need them to do so. The information is obtained by firstly conducting a large series of CFD calculations, using the PARNASSOS code, for systematically varied inland ships. Next, response surface technologies are used to identify the most important aspects. This is done by sequentially adding and/or removing parameters from the response surface in order to find the combination of parameters that explains the majority of the variance in the performance data for the tested hull forms. Finally, an optimization algorithm is used to determine the optimal hull forms for varying displacement, showing which parameters should be adjusted preferably in order to increase (or decrease) ship displacement. This, specifically, should aid designers in making the trade-off between displacement (or cargo capacity) and energy consumption.
Analyzing the Insight of Students’ Needs for The Development of an Arabic Rhetoric Application Through MOOC

Rhetoric is one of the beautiful arts of expression in Arabic. Unfortunately, many students who learn Arabic Rhetoric are unable to acquire it well due to the lack of interesting materials. Past studies revealed that the mastery level of Arabic Rhetoric among secondary school students is at a moderate level. Therefore, the development of an Arabic Rhetoric application through Massive Open Online Courses (MOOC) should be implemented in facilitating students to understand the concept of Arabic Rhetoric more effectively. Factors such as elaboration of contents via graphics, animation, audios, videos, and texts followed by the provision of exercises may attract students to learn independently as well as to improve their performance. This quantitative study aims to analyze the need for an Arabic Rhetorical application. The respondents comprised 40 form four students enrolled in a secondary school in Shah Alam, Selangor, Malaysia. A questionnaire with a reliability value of 0.931 was administered online via Google Form. It consisted of four sections: i) demographics, ii) Arabic Rhetoric learning approaches, iii) Arabic Rhetoric learning issues, and iv) innovation design in Arabic Rhetoric learning. The analysis of data was conducted via descriptive statistics through percentage, mean, and standard deviation. The findings show that students need innovative design in learning Arabic Rhetoric through an Arabic Rhetorical application in order to facilitate the comprehension of information.
ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks

Dropout is a regularisation technique in neural network training where unit activations are randomly set to zero with a given probability independently. In this work, we propose a generalisation of dropout and other multiplicative noise injection schemes for shallow and deep neural networks, where the random noise applied to different units is not independent but follows a joint distribution that is either fixed or estimated during training. We provide theoretical insights on why such adaptive structured noise injection (ASNI) may be relevant, and empirically confirm that it helps boost the accuracy of simple feedforward and convolutional neural networks, disentangles the hidden layer representations, and leads to sparser representations. Our proposed method is a straightforward modification of the classical dropout and does not require additional computational overhead.
A Sphere Held Fixed in a Poiseuille Flow near a Rough Wall

We present here an analytical calculation of the hydrodynamic interactions between a smooth spherical particle held fixed in a Poiseuille flow and a rough wall. By the assumption of a low Reynolds number, the flow around a fixed spherical particle is described by the Stokes equations. The surface of the rigid wall has periodic corrugations, with small amplitude compared with the sphere radius. The asymptotic development coupled with the Lorentz reciprocal theorem are used to find the analytical solution of the couple, lift and drag forces exerted on the particle, generated by the second-order flow due to the wall roughness. These hydrodynamic effects are evaluated in terms of amplitude and period of roughness and also in terms of the distance between sphere and wall.
Web Presence of Repositories of Indian Institutes of Technology: A Webometric Study

Links weave web documents together in a complex, structured hypertext corpus. Web links studies have been conducted by the scholars and information professionals all over the world since its introduction. The main objective of the study is to investigate the web presence of repositories of Indian Institutes of Technology (IITs) as a part of the World Wide Web. To investigate the web presence the few sub-objectives have been framed such as to identify IITs which are having their repositories; to find out the TLD, cc TLD and file formats use by the repositories; to find out total number of Web Pages, Link Web Pages, Self Link Web Pages, External Link Web Pages and Inlink Web Pages; to calculate Overall Web Impact Factor, Simple Web Impact Factor, Self Link Web Impact Factor, External Link Web Impact Factor and Inlink Web Impact Factor. Google covers more hyperlinks with advanced search facilities to count links possessed by the websites. Therefore, the present study has used Google to collect raw data, i.e., number of web pages, number of inlinks, self links and external links etc. Boolean operators are also used to form query syntaxes for retrieving data. SocSciBot web crawler is also employed. It is used to create network map of all the websites. URLs/websites of repositories are tested through command line textual queries like link, linkdomain, site, etc. Findings have been derived after analyzing the data.
Phenotype Detection of Genetic Enzymes B- Lactamase Isolation of Patients with Urinary Tract Infections Bacteria Escherichia Coli

Background : the main cause of multidrug resistant bacteria is the production of β-lactamase enzymes. The objective of this study was to determine the prevalence of genotype of Escherichia coli spp. isolated from nosocomial urinary tract infections (UTI). Methods : In a cross-sectional study from May 2019 to January 2020, mid-stream urine specimens were collected from 210 patients presented with acute urinary tract infections whom attending Al- Shahid Ghazi and Al-Hariri Hospital in Medical City/ Baghdad. Samples were cultured for E. coli isolation. Antibiotic sensitivity test and the prevalence of resistance enzyme producing gen were investigated. Results : A total of 210 E. coli were isolated, multidrug resistance strain of E coli (92.85%) was reported by this study. PCR technique indicated that 88.57% of ESBL-producing isolates possessing bla TEM, 30% bla CTX-M genes and 20.48% bla SHV genes between isolates and E. coli still the less resistant to carbapenem due to low expression of KPC gen. Conclusion : ESBLs and KPC were the higher prevalent genotype of multidrug resistant E. coli in urine sample.
Customer Satisfaction in Retail Banking Services in Nepal

This research mainly focuses on analysing the factors affecting customer satisfaction in retail banking in Nepal. The study adopts descriptive and explorative research design to deal with the fundamental issues associated with various factors of customers’ satisfaction and retail banking. The study is based on questionnaire survey of 200 customers of 10 different “A” class financial institutions, i.e. commercial banks. Descriptive statistics, correlation coefficient and regression analysis have been applied to estimate the relationship between customer satisfaction as dependent variable and service quality variables as independent variables. The empirical evidences indicate that reliability, responsiveness, assurance and tangibles factors have positive and significant impact on customer satisfaction. It reveals that higher the level of responsiveness, reliability, assurance and tangibility higher would be the customer satisfaction.
The changes of refractive status and anterior segment parameters after strabismus surgery

Purpose To investigate the effects of strabismus surgery on the refractive status and anterior segment parameters, meanwhile to conduct a research on the causes of these changes. Methods This was a retrospective study about 65 patients (104 eyes) who underwent strabismus surgery by a single surgeon from February 2017 to May 2018. The patients were divided into 4 groups. Group I: unilateral lateral rectus recession (40 eyes), Group II: unilateral medial rectus recession (16 eyes), Group III: monocular lateral rectus recession and medial rectus resection (30 eyes), Group IV: disinsertion of the inferior oblique (18 eyes). Refractive status and anterior segment parameters were measured at 1 day before operation, 1 week, 1 month and at least 3 month after operation. Results Spherical equivalent significantly showed a myopic shift during postoperative 1 week in horizontal rectus surgery, and it still showed a statistical changes during postoperative at least 3 month unilateral medial rectus recession. J0 displayed a shift in the with-the-rule direction in unilateral medial / lateral rectus recession lasted to the at least 3 month after surgery. J45 had no significant change in all groups as time passed by. Patients manifested statistically significant changes in steepest keratometry at 1 week after operation in horizontal rectus surgery.Flattest keratometry changed significantly only in unilateral medial rectus recession lasted to the at least 3 month after surgery . There was no change in disinsertion of the inferior oblique . Conclusions Refractive changes are a significant side effect of strabismus surgery, therefore, patients should be informed about it prior to surgery and the appropriate time for optometry should be chosen according to the different surgical methods after surgery.
Improved artificial neural network training with advanced methods

IMPROVED ARTIFICIAL NEURAL NETWORK TRAINING WITH ADVANCED METHODS Burak Çatalbaş M.S. in Electrical and Electronics Engineering Advisor: Ömer Morgül September 2018 Artificial Neural Networks (ANNs) are used for different machine learning tasks such as classification, clustering etc. They have been utilized in important tasks and offering new services more and more in our daily lives. Learning capabilities of these networks have accelerated significantly since 2000s, with the increasing computational power and data amount. Therefore, research conducted on these networks is renamed as Deep Learning, which emerged as a major research area not only in the neural networks, but also in the Machine Learning discipline. For such an important research field, the techniques used in the training of these networks can be seen as keys for more successful results. In this work, each part of this training procedure is investigated by using of different and improved sometimes new techniques on convolutional neural networks which classify grayscale and colored image datasets. Advanced methods included the ones from the literature such as He-truncated Gaussian initialization. In addition, our contributions to the literature include ones such as SinAdaMax Optimizer, Dominantly Exponential Linear Unit (DELU), He-truncated Laplacian initialization and Pyramid Approach for Max-Pool layers. In the chapters of this thesis, success rates are increased with the addition of these advanced methods accumulatively, especially with DELU and SinAdaMax which are our contributions as upgraded methods. In result, success rate thresholds for different datasets are met with simple convolutional neural networks which are improved with these advanced methods and reached promising test success increases within 15 to 21 hours (typically less than a day). Thus, better performances are obtained by those different and improved techniques are shown using well-known classification datasets.
Study on LOFA and LOHS Accidents with Passive Safety System for Integrated Marine Reactor

Abstract To simulate the complex accident phenomena of a marine reactor, the thermal-hydraulic system code RELAP5 is modified to perform the analysis under ocean conditions. An integrated reactor with a passive residual heat removal system (PRHRS) is modeled by the improved code, and the effects of different ocean motions under a total loss-of-flow accident (LOFA) and a loss-of-heat-sink (LOHS) accident are analyzed with respect to safety characteristics. The results indicate that for LOFA, the primary loop can form an effective natural circulation to cool the core, and for LOHS, the PRHRS can effectively remove the residual heat from the core to ensure the core safety. The results also show that heaving motion accelerates the drop of the first-loop temperature and enhances the heat transfer capacity of the PRHRS. Inclining motion reduces the natural circulation flow in the core. A rolling condition causes fluctuations in the mass flow rate, the variations of which are not strictly sinusoidal, and increasing the rolling period also improves the heat exchange capacity of the PRHRS.
A new distribution record of mason wasp Pison punctifrons Shuckard, 1838 (Hymenoptera: Sphecidae: Larrinae) from Noida, Uttar Pradesh, India

This paper reports occurrence of mason wasp Pison punctifrons Shuckard, 1838 from Noida, Uttar Pradesh, India. This is a new distribution record for the species. This paper examines the nest architecture and prey choices of the wasp and carries the photographic record of a live P. punctifrons Shuckard on her nest with prey.