Miracle-dz/UniFAR-FTUs huggingface dataset:
High Expression of the Bile Salt- Homeostatic Hormone Fibroblast Growth Factor 19 in the Liver of Patients with Extrahepatic Cholestasis

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AN ANALYTICAL STUDY ON VARIOUS DATA MINING METHODOLOGIES ON SOCIAL MEDIA APPLICATIONS

Nowadays, Social Media has obtained note worthy attention. This is accredited to the affordability of gaining access to the social network websites for instance Facebook, Google+, Twitter and other social network sites via the internet as well as the web 2.0 technologies. Numerous people turn out to be attentive in and depending on the social media for info and view of other users on various subject matters. Social Media has gained reputation as it is an inexpensive as well as quicker communication provider. In addition, social media has let us to decrease the spaces of physical distance, it as well produces as well as conserves vast volume of data. The data are extremely beneficial and it provides association degree amid people and their views. In this paper, the complete examination of the techniques that are utilized on user behavior identification is presented. This evaluation would give a thorough info, advantages and disadvantages in the area of sentiment as well as opinion mining. This study presented experimental assessment of numerous advanced data mining techniques that is stated in the literature. The experimental outcomes are carried out and it is matched up in contradiction of one another in order to identify the superior method underneath numerous performance measures such asF1-score and classification accuracy.
Relationship between Entrepreneurial Orientation and Firm Performance: Moderation of Transformational Leadership in the Context of Pakistani SMEs

The current research investigated the relationship between entrepreneurial orientation and firm performance through moderation of transformational leadership in the context of Pakistani SMEs. For this purpose, 193 SMEs were selected from Khyber Pakhtunkhwa. The data was collected through a structured questionnaire from the selected respondents. The study found that entrepreneurial orientation is positively and significantly related with firm performance (t=13.39, p<.05). The study also found that transformational leadership moderates the significant relationship between entrepreneurial orientation and firm performance. Limitations, managerial implications and direction for future research are also highlighted.
SYSTEMS THINKING FACTORS AS PREDICTORS OF SUCCESS IN ENGINEERING DESIGN

Design is a task performed by a designer, and thus the quality of the design is directly influenced by the knowledge, experience, and cognitive traits that the designer possesses. The cognition underlying successful design has proven difficult to capture, even though its illumination holds great potential for research in engineering design. Systems thinking as a concept has been studied across several fields, and as a result, has been given many definitions. Though a consensus definition has yet to be reached, many have in common two features: it is a cognitive style that deals with systems, and is carried out through a set of cognitive competencies that allow one to understand, solve problems within, and design systems. Moti Frank’s Cognitive Competency Model (2012) offers sixteen competencies that are believed to make up systems thinking. Influential and an imperative base for future research, this model was meant to be a theoretical grounding; thus, how these competencies may be measured was not included. To address this concern, Greene and Papalambros (2016) mapped Frank’s cognitive competencies to constructs from psychology, offering a basis for future research on cognition within systems thinking. They leave open the possibilities of which psychological tests to leverage. Additionally, research on the relative importance that the different cognitive competencies hold within engineering design is underexplored. Therefore, there is a lack of knowledge of how quantitatively various system thinking factors influence design success.
Estimation of Genetic Parameters of Fat and Protein Contents in Tunisian Holstein Dairy Cows Using Gibbs Sampling

Data including 15 343 records of 5 881 first parity Holstein cows collected from 2005 to 2017 in 118 herds located in north of Tunisia were analysed for fat and protein contents. Bayesian segregation analyses using a Monte Carlo Markov Chains (MCMC) method were used to investigate genetic determinism of both traits and to estimate its genetic parameters. The postulated major gene in both traits was assumed to be additive biallelic locus with Mendelian transmission probabilities and priors used for variance components were uniform. Gibbs sampling was used to generate a chain of 600 000 samples, which were used to obtain posterior means of genetic parameters. Estimated marginal posterior means ± posterior standard deviations of variance components of fat and protein contents were 1.63 ± 0.37 0.60 ± 0.57, 0.29 ± 0.32 0.03 ± 0.01, 0.77 ± 0.83 0.33 ± 0.25 and 9.30 ± 0.20 3.32 ± 0.05 for polygenic variance ( ), permanent environmental variance ( ), major gene variance ( ) and error variance ( ), respectively. Results showed the postulated major locus for both traits fat and protein contents was not significant, since the 95% highest posterior density regions (HPDs95%) of most major gene parameters included 0, and particularly for the major gene variances. Estimated transmission probabilities for the 95% highest posterior density regions (HPDs95%) of both traits were overlapped. Genetic parameters estimates of fat and protein contents were very similar under both mixed inheritance and polygenic models. These results indicated that the genetic determinism of fat and protein contents in Tunisian Holstein dairy cows is purely polygenic. Based on 30 000 Gibbs samples, polygenic heritability estimates for fat and protein contents were 0.18 and 0.20, respectively. The corresponding repeatability estimates were 0.24 and 0.22, respectively.
Emerging radiotherapy technologies and trends in nasopharyngeal cancer

Technology has always driven advances in radiotherapy treatment. In this review, we describe the main technological advances in radiotherapy over the past decades for the treatment of nasopharyngeal cancer (NPC) and highlight some of the pressing issues and challenges that remain. We aim to identify emerging trends in radiation medicine. These include advances in personalized medicine and advanced imaging modalities, standardization of planning and delineation, assessment of treatment response and adaptive re‐planning, impact of particle therapy, and role of artificial intelligence or automation in clinical care. In conclusion, we expect significant improvement in the therapeutic ratio of radiotherapy treatment for NPC over the next decade.
A 2.5D EMHD ANALYTICAL MODEL OF STEADY-STATE HALL MAGNETIC RECONNECTION IN A COLLISIONLESS COMPRESSIBLE PLASMA

A 2.5D analytical EMHD model of steady-state magnetic reconnection in a collisionless compressible plasma with a constant electron temperature is developed. It is shown that as in incompressible case, the solution of the Grad-Shafranov equation for the magnetic potential is a basis for the problem analysis. The formation of the double electric layers and layers of low density plasma, mapping the magnetic separatrices, are investigated. It is found that formation of depletion layers should not be governed by the out-of-plane magnetic field, but rather, the origin of these layers lies inside the electron diffusion region, where the number density should attain the local minimum due to the inner dissipative processes. The double electric layers are found to be thin separatrices-elongated sheets whose cross-sections are of the order of the electron diffusion region half-width. These charged layers provide the presence of the strong electric field orthogonal to the in-plane magnetic field, which forces electrons to accelerate in the out-of-plane direction. Outside of the double electric layers, the condition of quasi-neutrality of plasma is found to be fulfilled to high accuracy. The extreme values of the electron velocity and electric field are found to be controlled by the width of the electron diffusion region. Thus, last one seems to be the fundamental parameter of the reconnection process. The problem formulation The problem formulation and the technique of solving are very similar to those used in our work dedicated to the case of incompressible plasma [Korovinskiy et al., 2008]. We examine the problem of steady-state collisionless magnetic reconnection in a compressible plasma in the vicinity of the X-line, at a length scale of the proton inertial length, lp=c(mp/4πnpe), where mp is the proton mass, np is the proton number density, e is the elementary charge value, and c is the speed of light. The current sheet is supposed to be infinite, thus, the problem turns out to be 2.5-dimensional. Outside the electron diffusion region, EDR, which is supposed to be small (of the order of the electron inertial length, le=c(me/4πnee) in its cross-section and 10’s le along it), the plasma is assumed to be non-resistive. It is also assumed to be quasi-neutral at the upper boundary of the examined region. We use also a simplifying assumption of the homogeneity of the electron temperature. Our coordinate system is chosen as follows: The Z-axis is normal to the current sheet, the Y-axis is directed along the X-line, and the X-axis coincides with the proton outflow direction. By using normalized variables, the problem is described by the EMHD equations augmented by the equation for the ion velocity, ( ) ( )
Towards Accurate Post-training Network Quantization via Bit-Split and Stitching

Network quantization is essential for deploying deep models to IoT devices due to its high efﬁciency. Most existing quantization approaches rely on the full training datasets and the time-consuming ﬁne-tuning to retain accuracy. Post-training quantization does not have these problems, however, it has mainly been shown effective for 8-bit quantization due to the simple optimization strategy. In this paper, we propose a Bit-Split and Stitching framework (Bit-split) for lower-bit post-training quantization with minimal accuracy degradation. The proposed framework is validated on a variety of computer vision tasks, including image classiﬁcation, object detection, instance segmentation, with various network architectures. Speciﬁcally, Bit-split can achieve near-original model performance even when quantizing FP32 models to INT3 without ﬁne-tuning.
Poverty Across the Globe: A Cross-Sectional Analysis of the Underlying Causes

This paper examines the determinants of poverty using a cross section of 50 countries for 2012. The dependent variable is the poverty headcount ratio, which is defined as the percentage of the total population living on less than US $1.90 per day, calculated based on 2011 international prices. The independent variables investigated are divided into two categories: economic and health. Results of the ordinary least squares (OLS) regressions reveal that the most significant variables are the unemployment rate and the percentage of the population with access to an improved drinking water source, which are each significant at the 1% level. The estimated coefficient on the unemployment rate is 0.05, suggesting that for every one-unit increase in this variable, the poverty rate will increase by 0.05%. The estimated coefficient on the percentage of the population with access to an improved drinking water source is -0.58, suggesting that for every one-unit increase in this variable, the poverty rate will decrease by -0.58%.
Radiation Therapy for Cervical Cancer : An 3 ASTRO Clinical Practice Guideline

5 6 Junzo Chino, MD, Christina M. Annunziata, MD, PhD, Sushil 7 Beriwal, MD, MBA Lisa Bradfield, Beth A. Erickson, MD, Emma C. 8 Fields, MD, Jane Fitch, Matthew M. Harkenrider, MD, Christine H. 9 Holschneider, MD, Mitchell Kamrava, MD, Eric Leung, MD, Lilie L. 10 Lin, MD, Jyoti S. Mayadev, MD, Marc Morcos, MS, Chika 11 Nwachukwu, MD, PhD, Daniel Petereit, MD, Akila N. Viswanathan, 12 MD, MPH, 13 14 15 a. Duke University Cancer Center, Durham, NC, Department of Radiation Oncology and Guideline Task 16 Force Vice Chair 17 b. National Cancer Institute, Bethesda, MD, Women’s Malignancies Branch 18 c. UPMC, Hillman Cancer Center, Pittsburgh, PA, Department of Radiation Oncology 19 d. American Society for Radiation Oncology, Arlington, VA 20 e. Medical College of Wisconsin, Milwaukee, WI, Department of Radiation Oncology 21 f. Virginia Commonwealth University, Richmond, VA, Department of Radiation Oncology 22 g. Patient Representative 23 h. Loyola University Chicago, Chicago, IL, and Edward Hines Jr. VA Hospital, Hines, IL, Department of 24 Radiation Oncology 25 i. Olive View/UCLA Medical Center, Sylmar, CA, Department of Obstetrics and Gynecology 26 j. Cedars-Sinai Medical Center, Los Angeles, CA, Department of Radiation Oncology 27 k. Sunnybrook Health Sciences Centre, Toronto, Ontario, Department of Radiation Oncology 28 l. MD Anderson Cancer Center, Houston, TX, Department of Radiation Oncology and Guideline 29 Subcommittee Representative 30 m. University of California, San Diego, CA, Department of Radiation Medicine and Applied Sciences 31 n. Johns Hopkins Medicine, Baltimore, MD, Department of Radiation Oncology and Molecular Radiation 32 Sciences 33 o. UT Southwestern Medical Center, Dallas, TX, Department of Radiation Oncology 34 p. Rapid City Regional Health, Rapid City, SD, Department of Radiation Oncology 35 q. Johns Hopkins University, Baltimore, MD, Department of Radiation Oncology and Molecular Radiation 36 Sciences and Guideline Task Force Chair 37 38
METABOLIC PROFILE TEST FOR MONITORING THE CLINICAL, HAEMATOLOGICAL AND BIOCHEMICAL ALTERATIONS IN CATTLE

The aim of this work was to utilize the metabolic profile test (MPT) for evaluation of the changes in Friesian cows (n=25) during the peri-parturient period in association with body condition score (BCS) using multiparous postpartum cow (n=20) and heifers (n=5). The clinical signs included anemia during the pre-parturient period, and hypocalcaemia and ketosis during the post-parturient period. RBCs count, hemoglobin concentration, packed cell volume, mean corpuscular volume, mean corpuscular hemoglobin and mean corpuscular hemoglobin concentration significantly (P<0.05) decreased during peri-parturient period as compared to heifers. WBCs count considerably (P<0.05) decreased during pre-parturient period while lymphocytes count showed a significant increase (P<0.05) during peri-parturient period. On the other hand, neutrophils count showed a significant decrease (P<0.05) during peri-parturient period. Glucose significantly (P<0.05) increased during 2-3 weeks pre-partum, non-esterified fatty acids, beta hydroxyl butyric acid, triglycerides, cholesterol, low density lipoprotein, very low density lipoprotein, alanine amino transferase, gamma glutamyl transferase, urea and creatinine clearly (P<0.05) increased during peri-parturient period, insulin. Total protein and lecithin cholesterol acyltransferase significantly decreased during 2-3 weeks pre-partum, whereas serum cortisol, aspartate amino transferase enzyme obviously (P<0.05) increased as parturition approach. High density lipoprotein and globulin significantly (P<0.05) decrease during peri-parturient period. Besides, There was a significant (P<0.05) decrease in Ca, P, Mg, K and Na concentrations during the peri-parturient period. BCS of Friesian cows showed a significant decrease (P<0.05) during postpartum period. It was concluded that MPT is a reliable method for recording the hematological and biochemical changes as well as determination of liver and kidney function status during the peri-partureint period in cattle. Under field condition, BCS is considered a supplementary aid for MPT for determination of the susceptibility of peri-parturient cows for subclinical or clinical metabolic or nutritional deficiency disorders.
AN ONTOLOGY-BASED SEMANTIC EXTRACTION APPROACH FROM TEXT CORPUS

The Semantic Web is the salient technology of knowledge management, consisting of data extraction and annotation processes, which requires semantic representation to express data in an ontological format. The ontological extraction of unstructured data to enable the automatic generation of concepts and relations has led us to the presentation of our unique approach of automatic ontology extraction. However, domain experts are still required to modify the structure of ontological results, which makes the process very time-consuming and costly. Yet, there still exists the need for an ontology-based semantic extraction approach from text corpus to discover concepts, instances, and semantic relations between concepts or instances. This paper presents an approach of an ontology-based semantic extraction and the accompanying semantic extraction rules, as applied to tourism domain. The proposed semantic extraction rules are defined as extension rules working with GATE API. As a result, the efficiency of the proposed ontological extraction approach is validated through the Precision, Recall and F-measure scores, with average values of 91.48%, 89.12%, and 90.23%, respectively.
Ohua as an STM Alternative for Shared State Applications

The efficient parallelization of shared state applications has been an ongoing research topic ever since the advent of multi-core processors. Due to the properties some of these programs exhibit, such as amorphous data parallelism and the use of pointerbased data structures, conventional concurrency control mechanisms like locking fail to uncover any meaningful parallelism. Speculative parallelism approaches have been developed as a result, the most prominent representative being Software Transactional Memory. But these frameworks have their own set of drawbacks like the lack of scalability and high overheads. It is unclear, whether approaches like implicit parallelism could be a feasible and more performant alternative to use for developing these applications. This thesis tries to find out, whether Ohua, a framework for exploiting implicit parallelism, could be used for writing shared state programs and whether it could be an alternative to the by now aged STM. In order to do this, we tested in a preliminary study Ohua’s usability in shared state environments. We then proposed a set of transformations for Ohua to run at compile-time to automatically recognize and exploit parallelism from such applications. To compare Ohua then against STM, we tested both in a series of benchmarks that ressemble real-world applications. The evaluation shows that Ohua is not able to exploit parallelism in shared state applications to the same degree as STM does. Nonetheless, Ohua shows results that are widely on par with Software Transactional Memory and performs especially good in applications with amorphous data parallelism, validating our proposed transformations.
THE CHALLENGES OF SENTIMENT ANALYSIS ON SOCIAL WEB COMMUNITIES

With the explosive growth of social platforms on web including blogs, products review sites, forums, Twitter and Facebook, millions of users daily share and exchange their opinions about different issues like products, events, persons or organizations on these sites. Sentiment analysis on social users’ data considered as a valuable analysis for automatically extract people opinions regarding some interested topic issues which enables to provide important information for informed decision making in different domains. With the noticed importance of sentiment analysis on social sites many applications and techniques are available. Although, performing such analysis efficiently is not travail task which can be done easily. There are a number of challenges related to sentiment analysis which needs to address and resolve. In this paper the most important challenges of sentiment analysis on social sites were highlighted and discussed with the aim to provide new directions for the interested researchers and industries by handling theses challenges and performing sentiment analysis efficiently.
From Dataveillance to Datapulation : The Dark Side of Targeted Persuasive Technologies

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. From Dataveillance to Datapulation : The Dark Side of Targeted Persuasive Technologies Claude Castelluccia
THE EFFICIENCY OF CARIBBEAN STOCK MARKETS

This paper tests the weak-form efficiency of three major stock markets in the Caribbean region, the Trinidad and Tobago Stock Exchange (TTSE), Jamaica Stock Exchange (JSE) and the Barbados Stock Exchange (BSE). The monthly closing prices of selected stocks listed on the TTSE and JSE, and the BSE monthly local price index, are examined for this purpose. The testing procedure involves four processes: tests of restrictions, autocorrelation tests, unit root tests and variance ratio tests. Empirical evidence suggests that the TTSE, JSE and BSE are characterised by weak-form efficiency.
IDENTIFICATION OF MEDICINAL ORCHIDS OF BANGLADESH: DNA BARCODING VS. TRADITIONAL TAXONOMY

ORCHIDACEAE IS one of the largest, most diverse and highly specialized families of flowering plants with more than 24,000 species (Chowdhery, 1998). The family is species rich and the species are widely distributed from the Equator to the Arctic Circle and from lowland areas to the snowline. In Bangladesh, the family is represented by 178 species including one variety (Huda, 2007). Of these, 26 orchid species are considered to be ethnobotanically important and most of them are used for medicinal purposes (Huda et al., 2006). The World Health Organization (WHO) estimates that 80 per cent of the world’s population utilizes traditional medicines for healing and curing diseases (WHO, 2014). There is an increasing trend of international trade for medicinal plants, which are used both for herbal medicine and for producing pharmaceutical products (Chen et al., 2010). Accurate and rapid authentication of these plants, especially the orchids and their adulterants, are very difficult and sometimes problematic to achieve at the scale of international trade in medicinal plants (Chen et al., 2010).