Miracle-dz/UniFAR-FTUs huggingface dataset:
Physical exercise during pregnancy and its influence on maternal weight gain

espanolObjetivo: examinar en la literatura cientifica la influencia del ejercicio fisico durante el embarazo en la ganancia de peso materno. Metodo: se desarrollo una revision sistematica y metaanalisis. Se examinaron ensayos clinicos aleatorizados. Resultados: se analizaron 46 estudios. Se observa de forma general una asociacion positiva entre la practica regular de ejercicio fisico moderado y menores ganancias de peso materno, mostrando para el total de estudios una reduccion media de 0,28 kg (95% IC = 0,19-0,36, I2 = 68,7%, Pheterogeneidad = 0,001). Asimismo, los estudios muestran una menor cantidad y porcentaje de gestantes que exceden su ganancia de peso durante el embarazo en los grupos de intervencion comparados con los de control (RR = 0,85 [95% IC= 0,80-0,90], I2 = 21,7%, Pheterogeneidad = 0,19). Conclusion: el ejercicio fisico regular y moderado reduce el riesgo de una ganancia excesiva de peso materno EnglishObjective: To examine the scientific literature on the influence of exercise during pregnancy on maternal weight gain. Method: We performed a systematic review and meta-analysis of randomized clinical trials. Results: We analyzed 46 studies and found a positive association between regular and moderate exercise and lower maternal weight gain. The total reduction was 0.28 kg (95% CI, 0.19-0.36; I2, 68.7%; Pheterogeneity, 0.001). The studies also showed that a lower number and percentage of pregnant women exceeded their weight gain than controls (RR, 0.85; 95% CI, 0.80-0.90; I2, 21.7%; Pheterogeneity, 0.19). Conclusion: Regular and moderate exercise during pregnancy reduces the risk of excessive maternal weight gain
Handwritten Phoenician Character Recognition and its Use to Improve Recognition of Handwritten Alphabets with Lack of Annotated Data

Unlike Latin, the recognition of Phoenician handwritten characters remains at the level of research and experimentation. In fact, such recognition can contribute to performing tasks such as automatic processing of Phoenician administrative records and scripts, the digitization and the safeguarding of the written Phoenician cultural heritage. As such, the availability of a reference database for Phoenician handwritten characters is crucial to carry out these tasks. To this matter, a database for Phoenician handwritten characters (PHCDB) is introduced for the first time in this paper. We also explore the challenges in the recognition of Phoenician handwritten characters by proposing a deep learning architecture trained on our database. Furthermore, we propose a transfer learning system based on Phoenician character shapes to improve the recognition performance of Tifinagh Handwritten character, and we thereby affirm the possibility of the Tifinagh alphabet being derived from the Phoenician alphabet. Finally, based on Phoenician characters, we introduce a fast, global and light-weight transfer learning system for the recognition of any alphabet which lacks annotated data.
iMALDI as a tool to improve patient stratification for targeted cancer therapies

The PI3K/AKT/mTOR signaling pathway is commonly dysregulated in cancer. The goal of this thesis project was to assess the hypothesis of a strong correlation between PI3K/AKT/mTOR pathway activity and the response to targeted therapies, by using a protein quantitation technique called immuno-matrix assisted laser desorption/ionization (iMALDI). The use of iMALDI as a clinical tool was demonstrated by automating an established iMALDI assay for quantifying plasma renin activity. The results from the automated method gave high correlation coefficients of ≥0.98 with a clinical LC-MS/MS method and could be performed significantly faster than with manual sample preparation. The 7.5-fold faster analysis compared to LC-MS/MS, reduction in human error, and higher throughput, demonstrated the suitability of this assay for clinical use. The automated iMALDI platform was then adapted for use with cancer cell lines and tissue analysis, targeting the kinases AKT1 and AKT2 as surrogate proteins for signaling pathway activity. Using minute amounts (10 μg/capture), AKT1 and AKT2 expression and phosphorylation stoichiometry (PS) were successfully quantified via their C-terminal tryptic peptides, which encompassed key phosphorylation sites. After assay optimization, the assays were analytically validated for linear range, accuracy, and interferences. In addition, PS cut-off values based on measurement errors were established for confident PS quantitation. The functionality of the assay was demonstrated with cell lines, and flash-frozen and FFPE tissue lysates, with, on average, lower AKT1/AKT2 measurements obtained from FFPE samples. The developed assays were sensitive and precise enough to detect differences between matched normal and adjacent tumor tissues. To answer the hypothesis, patient-derived xenograft (PDX) mouse-model tumors treated with Herceptin, Everolimus, a combination of both (E+H), or with no treatment, were assessed for molecular patterns linked to tumor response. One mouse from the E+H group showed a partial response, with elevated total and phosphorylated AKT1/AKT2. Unfortunately, overlapping values between treatment groups were obtained in this study,
ASPECTS OF DECAPOD CRUSTACEAN ASSEMBLAGES FROM SOFT BOTTOMS SUBMITTED TO STRONG HYDRODYNAMIC CONDITIONS: AN EXAMPLE FROM CANAKKALE STRAIT (TURKISH STRAIT SYSTEM)

This study deals with the structure of decapod crustacean assemblages and their relationships with biotic and abiotic conditions in Canakkale Strait in 2006 and 2007. A total of 45 Decapod species were found, of which one species (Calliax lobata) is recorded for the first time from Turkish waters, four species are new for the Turkish Strait System and 11 species for the Canakkale Strait. Number of species, abundance, richness and biodiversity were negatively correlated to sand percentage and positively correlated to TOC values. In addition, ABC analysis showed that Canakkale Strait is subjected to natural stress. Hydrodynamic conditions have been recognised as the most important natural stress factor. While seasonal changes were not statistically significant, differences in biomass and species number were statistically important among stations, clearly separating eastern from western costs. Spring could be considered as decapods reproductive period in Canakkale Strait. Four different feeding types were distinguished, carnivors being the dominant one in the area. Athanas nitescens and Pisidia blutelii were the most important species, representing 62.6 % of the total abundance. These dominant species were significantly correlated with different sediment variables (percentage of sand, medium gravel and fine gravel). Different feeding mode and niche partitioning are advantageous for survival in such a harsh environment. No alien decapods were found in the study area, but during warm seasons, the presence of the invasive macroalga Caulerpa racemosa in the southeastern part of Canakkale Strait could favour some scavenger decapod species.
The Impact of Maternal Workload on Child Nutrition in Rural Iran

This paper and the following one both demonstrate an adverse impact of mothers’ work outside the home on the health and development of their infants and preschool children and explore the reasons for it. Although both are local studies, they have been accepted for publication because of their wider implications. The first paper, based on work in rural Iran, concludes that the mechanisms for this effect are not primarily financial. Because it would be very difficult to change the pattern of women’s economic activities in such a society, it is suggested that seasonal day-care centres are the most feasible means of alleviating the problem. The lack of funds for foods with an adequate density of protein and calories, plus the tendency to offer such foods only in over-diluted form, is wide-spread. The following paper, by Wandel and Holmboe Ottesen, based on work in rural Tanzania, comes to quite different conclusions. The authors find that “the amount of mothers’ field work did not seem to have any profound or conclusive relationship to children’s nutrition stands” because of buffering or compensating circumstances. In this society, unlike many others, women’s time constraints do not appear to be important in explaining the variation in children’s nutrition status. However, because three meals per day was seen as an absolute maximum that could be provided to young children, advice about more frequent feeding or more time-consuming food preparation is not likely to be accepted. The Bulletin always tries to judge the usefulness of a local study in a country to policy makers, programme planners, and researchers in other countries. It usually rejects descriptive studies that do not either have applicability to some other situations or introduce new methodological considerations. The publication of these two contrasting works concurrently is warning once again that the conclusions from studies in one population may or may not be applicable to other populations. This can be determined only by investigation of their local appropriateness. Introduction
Robot arm control method using forearm EMG signals

With the continuous improvement of control technology and the continuous improvement of people’s living standards, the needs of disabled people for high-quality prosthetics have become increasingly strong. A control method of robotic arm based on surface electromyography signal (sEMG) of forearm is proposed. Firstly, the 16-channel EMG data of the forearm is obtained via the multi-channel EMG acquisition instrument and the electrode cuff as input signals, the features are extracted, then the gestures are classified and identified by the support-vector machine (SVM) algorithm, and the signals are finally transmitted to the robotic arm, so that people can teleoperate the robotic arm via sEMG signals in real time. Reduce the number of channels to lower the cost while ensuring a high and usable recognition rate. Experiments were performed by collecting EMG signals from the forearm surface of eight healthy volunteers. The experimental results show that the system’s overall gesture recognition accuracy rate can reach up to 90%, and the system responds fast, laying a good foundation for manipulating artificial limbs in the future.
Mobile values, new names, and secure communication

We study the interaction of the "new" construct with a rich but common form of (first-order) communication. This interaction is crucial in security protocols, which are the main motivating examples for our work; it also appears in other programming-language contexts. Specifically, we introduce a simple, general extension of the pi calculus with value passing, primitive functions, and equations among terms. We develop semantics and proof techniques for this extended language and apply them in reasoning about some security protocols.
Implementation of Diabetic Foot Ulcer Prevention Program in the Provincial Hospital, Pontianak, West Borneo, Indonesia

The aim of this study to implement the evidence based practice of DFU prevention program in DM patients in Pontianak, West Borneo, Indonesia. This study used Stetler Model of Research Utilization to Facilitate EBP. DFU prevention program is the package consist of tools for data collection and tools for outcome evaluation. The researcher used Nursing competency questionnaire for evaluating the competency of nurses in DFU prevention program in DM patients. The questionnaire consists of 20 statements that related to the step of DFU prevention. Results/Findings: The researcher recruited 19 articles related DFU prevention from literature review. This study found that mostly of nurses has a good competency in implementing the DFU prevention program. In other hand, there are still the nurses who has not reached a satisfactory.
Prediction of Claims in Export Credit Finance: A Comparison of Four Machine Learning Techniques

This study evaluates four machine learning (ML) techniques (Decision Trees (DT), Random Forests (RF), Neural Networks (NN) and Probabilistic Neural Networks (PNN)) on their ability to accurately predict export credit insurance claims. Additionally, we compare the performance of the ML techniques against a simple benchmark (BM) heuristic. The analysis is based on the utilisation of a dataset provided by the Berne Union, which is the most comprehensive collection of export credit insurance data and has been used in only two scientific studies so far. All ML techniques performed relatively well in predicting whether or not claims would be incurred, and, with limitations, in predicting the order of magnitude of the claims. No satisfactory results were achieved predicting actual claim ratios. RF performed significantly better than DT, NN and PNN against all prediction tasks, and most reliably carried their validation performance forward to test performance.
The Lepidoptera of Europe: A Distributional Checklist

The first list to cover the entire European fauna of butterflies and moths since the famous Staudinger-Rebel Catalogue which was published as long ago as in 1901. A large number of European specialists have been working on the family/subfamily treatments, and the list has been checked by leading experts in the national faunas. The higher classification used in the checklist is in accordance with the most recent research as presented in the treatment of Lepidoptera in the series Handbook of Zoology. The Lepidoptera of Europe contains more than 8.300 species known to occur in Europe and the distributional tables have approximately 74.000 records. The Lepidoptera of Europe will be an indispensable tool for anyone working with the European fauna of any group of Lepidoptera. The book is published in a limited edition of only 800 copies.
Improvement in the Glycated Hemoglobin for Diabetic Patients as a Quality Care Adherence at Johns Hopkins Aramco Healthcare in Saudi Arabia

Introduction: Diabetes Mellitus (DM) is a complex health problem. That there is an ongoing increase pattern of DM with a ten-fold in the past three eras in Saudi Arabia. Reducing this rate, through assessing the quality of diabetes care, standardized and effective Quality Improvement (QI) performance measures are highly needed. Johns Hopkins Aramco Healthcare; JHAH revisits QI process yearly evaluating clinical needs on the key processes. It constructs a strategic plan that guarantees the desired patient outcomes and thus satisfaction. Herein, we want to describe the “Diabetes QI Practice and Performance; DQIPP” in JHAH, to share experience and quality of healthcare performance. Material and Methods: An approximate average of 15000 diabetes seen yearly in JHAH collected from Diabetic registry during the last 3 years. HbA1c testing within 6 months used as a process Key Performance Indicator (KPI), whereas “HbA1c ≥ 9.0%” used for poorly controlled diabetes as an outcome KPI. Results: Data analysis showed a significant improvement in compliance rate of both KPI measures against the set targets within JHAH, with a p value of ˂0.05. Conclusions: Working as collaborative healthcare providers to improve care management, control of diabetes and prevent the devastating complications via targeting the high-risk groups. This can impressively expand the efficiency of QI interventions and achieve a better healthcare.
Cache Coherence Protocol Verification using Ωmega

We verify some correctness properties of the DASH cache coherence protocol using Ω mega. Ω mega is a language with a rich type system featuring GADTs, type functions, and user-guided type checking rules. Cache coherence protocols have both safety properties and liveness properties. We show how to describe some of the safety properties of DASH cache coherence protocol in Ω mega. Since liveness properties are not easily expressed by types, we investigate invariants suﬃcient to imply some of the liveness properties of concern, and assert those invariants as well in the type system of Ω mega. Using Ω mega, we can have both a working program and an automatically checked proof of its properties because Ω mega is both a programming language and a logic. Tightly coupled programs and their properties using types guides us both in the construction of the program and in strategies for modiﬁcation that preserves the essential properties.
Fine-Grained Control over Tracking to Support the Ad-Based Web Economy

The intrusiveness of Web tracking and the increasing invasiveness of digital advertising have raised serious concerns regarding user privacy and Web usability, leading a substantial chunk of the populace to adopt ad-blocking technologies in recent years. The problem with these technologies, however, is that they are extremely limited and radical in their approach, and they completely disregard the underlying economic model of the Web, in which users get content free in return for allowing advertisers to show them ads. Nowadays, with around 200 million people regularly using such tools, said economic model is in danger. In this article, we investigate an Internet technology that targets users who are not, in general, against advertising, accept the trade-off that comes with the “free” content, but—for privacy concerns—they wish to exert fine-grained control over tracking. Our working assumption is that some categories of web pages (e.g., related to health or religion) are more privacy-sensitive to users than others (e.g., about education or science). Capitalizing on this, we propose a technology that allows users to specify the categories of web pages that are privacy-sensitive to them and block the trackers present on such web pages only. As tracking is prevented by blocking network connections of third-party domains, we avoid not only tracking but also third-party ads. Since users continue receiving ads on those web pages that belong to non-sensitive categories, our approach may provide a better point of operation within the trade-off between user privacy and the Web economy. To test the appropriateness and feasibility of our solution, we implemented it as a Web-browser plug-in, which is currently available for Google Chrome and Mozilla Firefox. Experimental results from the collected data of 746 users during one year show that only 16.25% of ads are blocked by our tool, which seems to indicate that the economic impact of the ad-blocking exerted by privacy-sensitive users could be significantly reduced.
Bioprospective Screening of Antibacterial and Phytochemical Activity of Caesalpinia Pulcherrima (Pride of Barbados) on Selected Clinical Isolate

This research work was carried out to evaluate the antibacterial and Phytochemical activities of Caesalpiniapulcherrima leaf and stem bark on some clinical isolates. The plant parts were collected from St. Benedict Catholic Church premises, Owena Barracks, Akure, Ondo State. Crude ethyl acetate extracts of Caesalpinia pulcherrima leaves and stem bark was assayed for its antibacterial activity against Staphylococcus aureus, Klebsiella pneumonia, Pseudomonas aeruginosa, Bacillus subtilis, Escherichia coli, and Salmonella typhi. using agar well diffusion method. Ofloxacin was used as standard control. The ethyl acetate extract of Caesalpiniapulcherrima leaves inhibited the growth of Escherichia coli, Staphylococcus aureus, and Salmonellatyphi with 12mm, 10mm and 12mm zone of inhibition at 100mg/ml concentration and 4mm, 4mm and 6mm zone of inhibition at 12.5mg/ml concentration respectively but ineffective against Klebsiella pneumonia and Pseudomonas aeruginosa. It also inhibits the growth of Bacillus substilis with 7mm zone of inhibition at 100mg/ml concentration and 3.0mm zone of inhibition at 25mg/ml concentration. The ethyl acetate extract of the stem bark inhibited the growth of Escherichiacoli, with 12mm and 4mm zone of inhibition at 100mg/ml and 25mg/ml concentration and Staphylococcus and Salmonellatyphi with 10mm and 15mm inhibition zones at 100mg/ml concentration and 4mm and 4mm zone of inhibition at 12.5mg/ml respectively, but were ineffective against other isolates. Both qualitative and quantitative phytochemical evaluations were also carried out on both the leaves and stem bark of Caesalpinia pulcherrima and results revealed the presence of several phytoconstituents such as alkaloids, cardiac glycoside, steroids, anthraquinones, phenols, tannins, saponins, flavonoids and reducing sugar with the bark possessing more of the phytochemicals. It has been reported in the literature that these species exhibit a wide range Research Article
Performance analysis of batteries used in electric and hybrid electric vehicles

Hybrid electric vehicles (HEVs) and electric vehicles (EVs) are the most viable solutions to the undesirable high petroleum consumption by the present form of internal combustion engine driven vehicles. The varying requisites of HEVs and EVs have resulted in the advancement of battery technology in the area of chemical compositions such as electrode and electrolyte in addition to its electrical combination, control and protection schemes. The maximum utilization and protection of the battery is a challenge that needs to be tackled to improve its efficiency and reliability. A comprehensive study of the present battery technology has been performed in this thesis. The research is focused on battery modeling and its applications taking the complete electric drive train into consideration. Novel models and research perspectives have been proposed and analyzed. The scopes of increasing the accuracy of the present day battery management system have also been discussed.
Information System for the Improvement of Telecommunication Service Quality

This work describes an information system regarding to the telecommunication service with the goal to inform to the telephony service users about the operators signal quality and the users’ opinion about the telecommunication operators. The system contains information of cellular base station locations and the results are crossed with sentiment analyses of sentences extracted from a social network, which are related to the telecommunication services. The study aims to detect complaints and dissatisfaction of users about a determined service, helping to make a relation between the users’ complains extracted from social network with the number of base stations in the same geographic area of the user's social network. Therefore, the proposed information system can be used by the National Telecommunications Agency of each country for monitoring the quality-of-service of cellular network operators.
Electron microscopic changes in muscle and liver of feed restricted growing lambs

Abstract Fifteen Najdi male lambs, 30.1±0.3 kg live weight and 3.5 months of age, were used to evaluate the effect of feed restriction on the muscle fiber diameter, sarcomere length, tissues architecture, glycogen content and ultra-structure changes in the muscle of Longissimus dorsi and liver. Lambs were randomly allocated to one of three groups (5 lambs each) throughout 35 days experimental trial. Feeding treatments were ad libitum (Control, C), 75% (25% feed restriction, 25R) and 60% (40% feed restriction, 40R) of the ad libitum C intake, respectively. Significant smaller fiber diameter was associated with restricted feeding groups. Control group liver samples contained more glycogen than either 25R or 40R groups. The main ultra-structural changes were associated with swollen mitochondria; reduce glycogen granules and lipid concentration in the liver samples especially in 40R group. Myofibril diameter of the muscle L. dorsi of C group was significantly larger (13.5 µm) than 25R (12.5 µm) and 40R (11.5 µm) groups. Also, C group had significant longer sarcomere (2.03 µm) compared to the 25R (1.87 µm) and 40R (1.93 µm) groups. © 2013 Friends Science Publishers