Miracle-dz/UniFAR-FTUs huggingface dataset:
Machine Learning in Finance: A Topic Modeling Approach

We provide a first comprehensive structuring of the literature applying machine learning to finance. We use a probabilistic topic modeling approach to make sense of this diverse body of research spanning across the disciplines of finance, economics, computer sciences, and decision sciences. Through the topic modelling approach, a Latent Dirichlet Allocation technique, we are able to extract the 14 coherent research topics that are the focus of the 5,204 academic articles we analyze from the years 1990 to 2018. We first describe and structure these topics, and then further show how the topic focus has evolved over the last two decades. Our study thus provides a structured topography for finance researchers seeking to integrate machine learning research approaches in their exploration of finance phenomena. We also showcase the benefits to finance researchers of the method of probabilistic modeling of topics for deep comprehension of a body of literature, especially when that literature has diverse multi-disciplinary actors.
EFFECT OF RELAXATION TRAINING ON PREGNANCY ANXIETY IN HIGH RISK WOMEN

Background and Objectives: Prenatal maternal anxiety has adverse effects on the mother and fetus and child. Use of anxiety-reducing techniques for pregnant mothers plays an important role in decreasing maternal and child Psychological problems. Relaxation exercise could be improve pregnancy outcome in High Risk pregnancy and High Risk Delivery. This study aimed to determine the effect of relaxation training on anxiety in High risk mothers. Materials and Methods : The present study was done as a clinical trial on 150 High Risk Pregnant Women 32-35week (75 subjects as relaxation group,75 subjects as control group)referred to Health and Medical Center in Shahreza city. Data were collected using personal data form and Spielberger anxiety Inventory questionnaire . In addition to routine pregnancy care, four 90minute sessions of relaxation active Jacobsen training courses were held during 4weeks (once a week). The control group only received routine pregnancy care . Anxiety score before the intervention and at the end of the intervention were analyzed in all two groups . Data analysis was done using Ttest , tabs analysis. Results: In this study, the mean anxiety scores were not significantly different in the two groups before the intervention ,but there was significant differences in relaxation group after the intervention (pvalu<0/001). There was a decrease in the mean anxiety score in relaxation group after the intervention whereas there was a slightly increase in the control group. Conclusion: The results of this study indicated that relaxation training could reduce anxiety in Pregnant High Risk Women.
Assessment of efficacy of six different moisturizing creams in maintaining the hydration of skin in healthy human volunteers: A randomized controlled study

Introduction: Moisturizers are routinely prescribed so for adequate hydration of the skin. There are various preparations of these moisturizers in the market making it difficult for a dermatologist to choose the most effective moisturizer. Objectives: To compare the efficacy of six different commonly used commercial and prescription based skin moisturizers. Materials and Methods: A total of 30 human healthy volunteers of the same age group were enrolled in a study. We selected six sites on the dorsum of hand (A, B, C, D, E, and F) for the application of moisturizers. In this study, we used six different commercially available moisturizers namely Emoderm® cream, Secalia® cream, Amylac® 12% cream, Ponds® cream, Nivea® cream, Dove® cream. Baseline moisture level reading of the areas selected was taken (A, B, C, D, E, and F) with the help of digital skin moisture analyzer. Digital skin moisture analyzer is a portable device that uses bioelectric impedance analysis technology. Readings were taken at the end of 15 min, 30 min, and 1 h after application of the cream. Results: At the end of 15 min, only Dove moisturizer could retain the baseline moisture level in the skin without positive or negative change. Moisture levels were reduced in other groups. At the end of 30 min, Secalia® moisturizer produced an increase in moisture level over the baseline - 4.76%. Moisture levels were below baseline in other groups. Secalia® moisturizer produced the maximum increase in moisture level over the baseline at the end of 1 h - 21.99%. The only other moisturizers to produce moisture level above baseline after 60 min were Dove® 5.02% and Amylac®- 5.66%. Conclusion: We conclude that epidermal hydration produced by moisturizers influences the electrical properties of skin. Humectants cause a significant increase in moisture levels as assessed by digital skin moisture analyzer.
Effect of selection for 4-week body weight on growth, haematocrit and thermoregulation in Japanese quails

Effect of selection for 4-week body weight on juvenile growth, packed cell volume (haematocrit) and thermoregulatory ability of birds was studied in a selected and a control line of Japanese quails. Juvenile body weights at day old, 1, 2, 4 and 6 weeks of age were higher in growth selected line compared to control line and females have higher body weights than males at all stages except at 1-week of age. Relative growth rate (%) was highest for period 0–1 week. There were little differences between males and females for relative growth rate (%). Packed cell volume (PCV) was studied at four stages viz; 1, 3, 5 and 9-weeks of age. Average PCV at 1, 3, 5 and 9 weeks of age was 42.5, 42.6, 42.6 and 44.7 percent, respectively. The differences between growth selected and control line were non-significant at 1, 3 and 5 weeks of age while they were significant at 9-weeks of age. Males were having higher packed cell volume as compared to females. Growth-selected and control line quails were used for recording of cloacal and surface temperatures (foot pad). The core and surface temperatures were significantly higher in the afternoon than the morning by about 1.2 to 2.6% while the increase in the environmental temperature from morning (31°C) to afternoon (33°C) was 2°C (6.5% increase). However, the surface to core temperature ratio, which is indicative of maintenance of warmth in extremities in relation to body temperature, declined from morning to evening by 2.4%. The genetically improved line quails had significantly lower core as well as surface temperatures than the control line.
Coinductive Resumption Monads: Guarded Iterative and Guarded Elgot

We introduce a new notion of "guarded Elgot monad", that is a monad equipped with a form of iteration. It requires every guarded morphism to have a specified fixpoint, and classical equational laws of iteration to be satisfied. This notion includes Elgot monads, but also further examples of partial non-unique iteration, emerging in the semantics of processes under infinite trace equivalence. We recall the construction of the "coinductive resumption monad" from a monad and endofunctor, that is used for modelling programs up to bisimilarity. We characterize this construction via a universal property: if the given monad is guarded Elgot, then the coinductive resumption monad is the guarded Elgot monad that freely extends it by the given endofunctor.
Wybrane problemy zdrowotne związane z pracą kierowców pojazdów komunikacji miejskiej

The literature data and our own studies show that in drivers of public transport vehicles, largely intensified work-related risk factors for arterial hypertension, ischemic heart disease, duodenal and gastric ulcer diseases and back pain syndrome are found. Th ese involves occupational risk factors as well as classic ones, such as obesity, limited physical activity or tobacco smoking. Among occupational risk factors, stress induced by the responsibility for assuring public safety in heavy urban traffic, time pre ssure and contacts with passengers predominate. Other burdens observed in this occupational group include specific, partly forced, positio n of the body at work and the shift work system. Exposure to chemical agents present in exhaust gas may increase the incidence of cancer at some sites in this group of drivers. Multifaceted burdens occurring in this occupation may impair health, leading to temporary or permanent disability to work. Therefore, there is an urgent need to develop specific preventive programs addressed to this occupa tional group not only because of economic reasons, but mostly to increase public transport safety. Med Pr 2006;57(1):47–52
Illumination-invariant change detection for the protection of vehicle convoys

The detection of potential threats such as IEDs is essential for the security of military vehicle convoys. We present an image change detection approach that estimates change probabilities in outdoor routes, using a monocular optical camera system. The camera system is part of a multi-sensor system mounted on the lead vehicle of a vehicle convoy, and the estimated change probabilities of each sensor are exploited by a data fusion algorithm. Our change detection approach is based on illumination-invariant image representations and is thus insensitive to illumination differences (e.g., due to shadows), and detects potential changes of multiple sizes. We introduce a temporal weighting scheme based on intra-sequence homography coherence to reduce false detections due to the parallax effect. For the experimental evaluation we have used image sequences acquired on outdoor routes which include different types of changes, strong illumination differences, and scenes with parallax.
COMPARISON OF THE EFFICACY OF VAGINAL MISOPROSTOL WITH AND WITHOUT LAMINARIA IN SECOND TRIMESTER INDUCTION ABORTION

Abstract: Background & Aims: Therapeutic abortion in the second trimester pregnancy is the choice treatment in cases with severe anomalies or intrauterine fetal death. It can be done by a number of medical (e.g. misoprostol) or mechanical methods (e.g. laminaria). The aim of this study was to compare the efficacy of misoprostol alone and misoprostol in combination with laminaria in the induction of second trimester abortion. Method: In this interventional study, 80 pregnant women with the gestational age of 13-25 weeks who were candidates of therapeutic abortion were selected and randomly divided into two groups (n=40). One group received misoprostol alone and the other received misoprostol in combination with laminaria. Results: Combination of misoprostol and laminaria caused not only a significant shorter time interval from the initiation of intervention to abortion (P=0.034), but also lower dose of administered misoprostol (P=0.001), less need for curettage (P=0.001), and shorter hospitalization period (P = 0.042). Conclusion: Based on the obtained results, misoprostol in combination with laminaria is recommended for the induction of second trimester therapeutic abortion. Keywords: Laminaria, Misoprostol, Second trimester, Therapeutic abortion
CMAR_A_200684 3981..3991

Chaobin He* Lixin Zhong* Yu Zhang* Zhiyuan Cai Xiaojun Lin 1Department of Hepatobiliary and Pancreatic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, People’s Republic of China; 2Department of Occupational and Environmental Health, School of Public Health, Sun Yatsen University, Guangzhou, Guangdong 510080, People’s Republic of China; 3State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yatsen University, Guangzhou, Guangdong 510060, People’s Republic of China
ASYNC: A Cloud Engine with Asynchrony and History for Distributed Machine Learning

ASYNC is a framework that supports the implementation of asynchrony and history for optimization methods on distributed computing platforms. The popularity of asynchronous optimization methods has increased in distributed machine learning. However, their applicability and practical experimentation on distributed systems are limited because current bulk-processing cloud engines do not provide a robust support for asynchrony and history. With introducing three main modules and bookkeeping system-specific and application parameters, ASYNC provides practitioners with a framework to implement asynchronous machine learning methods. To demonstrate ease-of-implementation in ASYNC, the synchronous and asynchronous variants of two well-known optimization methods, stochastic gradient descent and SAGA, are demonstrated in ASYNC.
Metagenomic Analysis of Antibiotic Resistance Genes in the Fecal Microbiome Following Therapeutic and Prophylactic Antibiotic Administration in Dairy Cows

The use of antibiotics in dairy cattle has the potential to stimulate the development and subsequent fecal dissemination of antibiotic resistance genes (ARGs) in bacteria. The objectives were to use metagenomic techniques to evaluate the effect of antibiotic treatment on ARG prevalence in the fecal microbiome of the dairy cow and to determine the temporal excretion pattern of ARGs. Twelve Holstein cows were assigned to one of four antibiotic treatments: control, pirlimycin, ceftiofur, or cephapirin. Fecal samples were collected on d -1, 1, 3, 5, 7, 14, 21, and 28. Samples were freeze-dried and subjected to DNA extraction followed by Illumina paired-end HiSeq sequencing and quantitative polymerase chain reaction (qPCR). Illumina sequences were analyzed using MG-RAST and the Antibiotic Resistance Gene Database (ARDB) via BLAST. Abundance of ampC, ermB, tetO, tetW, and 16S rRNA genes were determined using qPCR. All data were statistically analyzed with PROC GLIMMIX in SAS. Antibiotic treatment resulted in a shift in bacterial cell functions. Sequences associated with “resistance to antibiotics and toxic compounds” were higher in ceftiofur-treated cows than control cows. Ceftiofur-treated cows had a higher abundance of -lactam and multidrug resistance sequences than control cows. There was no effect of treatment or day on fecal tetO and ermB excretion. The relative abundances of tetW and ampC were higher on d 3 post-treatment than d 5 and d 28. In conclusion, antibiotic use in dairy
Maximizing Fairness for Resource Allocation in Heterogeneous 5G Networks

In this article, we first formulate the joint resource allocation, interference minimization, user-level, and cell-level fairness for maximum resource reuse in 5G heterogeneous small cell networks as an NP-hard problem. We then propose three algorithms—centralized, distributed, and randomized distributed algorithms—to efficiently solve the formulated resource allocation problem while minimizing interference, maximizing fairness, and resource reuse. Through extensive real data analysis and network simulations, we show that our proposed solutions outperform state-of-the-art schemes, namely interfering model (INT) and distributed random access (DRA), for both low and high-density 5G networks.
Learning Displacement Experts from Multi-band Images for Face Model Fitting

—Models are often used to gain information about real-world objects. Their parameters describe various properties of the modeled object, such as position or deformation. In order to ﬁt the model to a given image, displacement experts serve as an update function on the model parameterization. However, building robust displacement experts is a non-trivial task, especially in real-world environments. We propose a novel approach that learns displacement experts from a multi-band image representation which is speciﬁcally tuned towards the task of face model ﬁtting. We provide the ﬁtting algorithm not only the original image but an image representation that reﬂects the location of several facial components within the face. To demonstrate its capability to work robustly not only in constrained conditions, we integrate the Labeled Faces In The Wild database, which consists of images that have been taken outside lab or ofﬁce environments. Our evaluation demonstrates, that the information provided by this image representation signiﬁcantly increases the accuracy of the model parameter estimation.
A best practices review of simulated education approaches to enhance collaborative healthcare

5 Introduction . 6 Aims and Objectives . 10 Methodology . 12 Search Strategy . 13 Screening the Evidence . 13 Data Extraction . 15 Assessing the Evidence . 16 Research quality . 16 Impact of the teaching-learning experience . 17 Identifying Best Practices . 18 Results . 19 Interprofessional Simulation Characteristics . 20 Aim of the interprofessional teaching-learning experience . 20 Learners . 20 Sample size . 20 Setting . 20 Type of simulation . 21 Learning theory . 22 Evaluation of the Interprofessional Simulation Teaching-learning Strategy . 22 Data collection . 22 A BEST PRACTICES REVIEW OF SIMULATED 3 Study quality . 23 Impact of the interprofessional simulation education innovation . 24 Learning outcomes . 26 Recommended Simulation Techniques . 29 Discussion . 34 Summary of Results . 34 Education Models/Learning Theory . 35 Evaluation Methods . 36 Timing . 36 Implications for Nurse Educators . 37 Future Research . 38 Conclusion . 39 References . 41 Appendices . 50 A. Search Terms and Results . 51 B. Bibliography of Articles Included in this Review . 52 C. Data Extraction Table of Studies Included in this Review . 55 D. The (Modified) Johns Hopkins Evidence-based Practice Centre Rating Scale Tool for Measuring the Quality of the Included Studies (Murdoch, 2012) . 66 E. „Modified‟ Quality Assessment Model of Kirkpatrick (1967) . 72 F. Criteria for Identifying Best Practices . 73
Multimedia Innovation 4.0 in Education: E-Modul Ethnoconstructivism

This paper presents educational innovation for the learning of ethno-constructivism-based e-modules using 3D page flip. Ethnoconstructivism-based E-modules use 3D page flip, are made of stages of development, implementation, and evaluation adopted from the branch. The purpose of responding to ethnoconstructivism-based e-module implementations using 3D page flip and after using e-modules from ethnoconstructivism-based e-module implementations using 3D page flip. On the respond results for the control class that uses conventional, there are significant differences with the experimental class using ethnoconstructivsm-based e-modules using 3D page flip, which is in the superior experimental class because it uses ethnoconstructivsm-based e-modules using flip 3D pages flip with t-test values amounting to 18.342.
Studying the Binary Erasure Polarization Subchannels Using Network Reliability

In this article we analyze the reliability of the synthetic channels of a polar code designed for the binary erasure channel, and in particular the properties of their Bhattacharyya parameter. We apply techniques from network theory in order to establish fresh results. Firstly, we show how to efficiently approximate the Bhattacharyya parameter. Secondly, we identify asymptotically “good” channels for polar code. Thirdly, we determine a range of values for the erasure probability for which the selecting rule for the polar codes construction coincides with that of the Reed-Muller codes.
Becoming Euclid: Connecting Core Cognition, Spatial Symbols, and the Abstract Concepts of Formal Geometry

Humans alone are capable of formal geometry, like the one outlined in Euclid’s Elements. We can conceive of points so infinitely small they have no size and lines that extend so infinitely far they never end. And yet, we conceive of such “points” and “lines” without having ever perceived them. Where, then, do such geometric concepts come from? This dissertation asks whether and in what way phylogenetically ancient and developmentally precocious “core” geometric representations guiding navigation and form analysis in humans may come to support uniquely human symbolic and abstract geometric thought. It does so by investigating children’s capacity for interpreting the geometric information presented in simple maps and pictures in the context of the scenes and objects that these symbols represent. The dissertation comprises three papers, framed by an introduction and a concluding chapter. Paper 1 (Dillon, Huang, & Spelke, 2013) investigates whether young children’s use of core geometric information to navigate scenes and analyze the shapes of visual forms correlates with their ability to use geometric information presented in simple overhead maps of fragmented triangular environments. Paper 2 (Dillon & Spelke, 2015) probes the connections between young children’s use of core geometry and their interpretation of highly realistic photographs and perspectival line drawings of scenes and objects. Paper 3 (Dillon & Spelke, 2016) measures the flexibilities, limitations, and automaticity with which children use core geometry when
Automatic Multimodal Assessment of Neonatal Pain

McCafery [1] describes pain as, ”whatever the experiencing person says it is, existing whenever the experiencing person says it does. ” Unfortunately, neonates do not have the ability to communicate this experience verbally (self-evaluation) or non-verbally by writing or pointing (Visual Analog Scale). The limited ability of neonates to communicate pain and the earlier misconception about the absence of neurological substrate for the perception of pain in neonates have led pediatricians to believe, for several decades, that neonates do not feel or remember pain. Several scientific studies [2; 3; 4; 5] disproved this earlier belief and reported a strong association between repeated pain exposure (under-treatment) and alterations in the brain structure and function. This association has led to the increased use of anesthetic medications. However, recent studies [6; 7] found that the excessive use of analgesic medications such as Morphine and Fentanyl may cause several side effects (e.g., hypotension and feeding intolerance). The current standard for assessing neonatal pain involves observing, by bedside caregivers, multiple behavioral (e.g., facial expression) and physiological (e.g., vital signs) responses of pain. At least 29 response-based pain scales [8] have been developed to evaluate procedural and postoperative pain in neonates. This practice has three main shortcomings. First, it relies on the caregiver’s direct observation and interpretation of multiple responses. It is highly affected by several idiosyncratic factors, such as the observer’s cognitive bias, identity, culture, and gender [9]. The interand intraobserver variations can lead to inconsistent assessment and treatment of pain. Second, caregivers assess pain at different time intervals. The discontinuity of assessment can lead to missing pain while the neonate is left unattended; therefore, it may result in delayed intervention. Third, this practice requires a substantial time commitment and a large number of well-trained caregivers to ensure the proper utilization of the pain scale. The substantial cost of this practice makes it infeasible in underdeveloped countries where medical professionals and resources are scarce. This dissertation introduces an automatic, comprehensive, and multimodal neonatal pain assessment system. The proposed system addresses the shortcomings of the current practice and provide continuous, consistent, and inexpensive pain assessment to guide treatment. The main contributions of this dissertation can be summarized as follows: