Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficacy and safety of mesenchymal stromal cells on left ventricular function after acute myocardial infarction : a meta-analysis of randomized controlled trials

Mesenchymal stromal cells (MSCs) transfer has emerged as a new therapeutic modality for acute myocardial infarction (AMI), but the benefits and safety profile still remain controversial. We performed a meta-analysis to assess the efficacy and safety of MSCs transplantation in patients with AMI based on published randomized controlled trials (RCTs). A systematic literature search of Pub Med, EMBASE, and the Cochrane library from 1985 to 2016 was conducted. We identified RCTs involving subjects with AMI receiving MSCs therapy and following up for at least 3 months for inclusion. Pooled analyses were conducted using random effects models. The defined end points were left ventricular ejection fraction (LVEF), left ventricular end-diastolic volumes (LVEDV) and left ventricular end-systolic volumes (LVESV), and major adverse cardiac event rates (MACEs). Seven trials with a total of 435 participants were included. Overall, MSCs therapy improved LVEF by 4.79% (95% confidence interval [CI] 2.12-7.46, P=0.0004), compared with the controls. There were trends toward reduced LVEDV and LVESV, but the differences were not significant (P=0.22 and P=0.09). Meta-analysis of the RCTs did not detect an association between MSCs and MACEs, all-cause death, heart failure, in-stent thrombosis, recurrent myocardial infarction, arrhythmia or rehospitalization. In addition, Subgroup analysis also revealed greater increase in LVEF in favor of MSCs regarding duration of <6 months, 6 months and 12 months (P<0.00001, P=0.0003, P=0.0005, respectively) but not for >12 months (P=0.17) no matter what measurement was used. Based on the current clinical trials, transplantation of MSCs for patients with AMI induces a significant increase in LVEF and is safe in short-term follow-up.
Evolutionary Constraints on Emergence of Plant RNA Viruses

Over the recent years, agricultural activity in many regions has been compromised by a succession of devastating epidemics caused by new viruses that switched host species, or by new variants of classic viruses that acquired new virulence factors or changed their epidemiological patterns. Although viral emergence has been classically associated with ecological change or with agronomical practices that brought in contact reservoirs and crop species, it has become obvious that the picture is much more complex, and results from an evolutionary process in which the main players are the changes in ecological factors, the tremendous genetic plasticity of viruses, the several host factors required for virus replication, and a strong stochastic component. The present chapter puts emergence of RNA viruses into the framework of evolutionary genetics and reviews the basic notions necessary to understand emergence, stressing that viral emergence begins with a stochastic process that involves the transmission of a pre-existing viral strain with the right genetic background into a new host species, followed by adaptation to the new host during the early stages of infection. Introduction: what is an
Isolation, identification and selection of lactic acid bacteria cultures for cheesemaking -

Lactic Acid Bacteria (LAB), which are considered to be the most useful microorganisms to society, are involved in the manufacture of thousands of fermented foods.They are also beneficial in flavoring foods, inhibiting pathogenic as well as spoilage bacteria in these products. A total of 2000 isolates of LAB were obtained from traditional Egyptian dairy products (different types of raw milk, ras, domiatti and kareish cheese, mish, cream, butter and fermented milk such as laban, rayeb and zabady) obtained from different regions in Egypt. The pre-identification tests were performed according to the morphological characteristics: catalase test, growth at 10°C and 45°C, growth in the presence of 6.5% NaCl and Co2 production. The isolates were subjected to phenotypic and cell wall protein characterization analyses. Phenotypically, 1006 strains were identified using API 50 CHL and API 20 Strep (Apparatus and procedure of identification). The SDS-PAGE technique (Sodium dodycyl sulfate) of whole cell protein was evaluated as an advanced tool for the identification of LAB. Therefore protein fingerprints were registered for 514 strains and compared to a large number of LAB referencestrains stored in database format. The SDS-PAGE technique confirmed 94% of the APIidentification results. The identified strains were tested for acidifying activity, autolytic andaminopeptidase properties, antagonistic activities and polysaccharides production.Selected cultures where then evaluated as starter or adjunct cultures for Ras and Domiatti cheese production in the cheese research laboratory. Higher cheese flavor scores were consistently obtained in Ras cheese made with cultures showing high peptidase and esterase activity and a high rate of autolysis. Development of free amino acids and free fatty acids in Ras cheese were always higher when compared to the cheese made using other starters.
DETECTION OF CODE SMELLS FROM MINING VERSION HISTORIES USING AGGREGATE FUNCTION BASED ENHANCED APRIORI

Code smells are symptoms of poor design and implementation choices that may hinder code comprehension, and possibly increase changeand fault-proneness. Different tools have been proposed for code smell detection, each one characterized by particular features. The aim of this paper is to describe different tools for code smell detection and to evaluate the accuracy of each tool in the detection of five code smells namely Divergent Change, Shotgun Surgery, Parallel Inheritance, Blob, and Feature Envy.The proposed work detects the smell in source code in software by using the data mining techniques HIST is used and Association Rules.Association rule concept is implemented by using the support and confidence. The algorithm used here is Apriori; this algorithm combine two item set and do the breath first search technique to find the data sets which are duplicate after that the Apriori algorithm needs to scan the whole data to find the code smells which occurs in the source code. Aggregate Function Based Enhanced Apriori (AFEA) Algorithm is uses theMinimum Support and Confidence to detect the code smell in different classes. For each code smell the performance is calculated using Recall, Precision and F-measure.
Optimization of Protease Production by Psychrotrophic Rheinheimera sp. with Response Surface Methodology

Background and Objectives: Psychrotrophic bacteria can produce enzymes at low temperatures; this provides a wide biotechnological potential, and offers numerous economical advantages over the use of mesophilic bacteria. In this study, extracellular protease production by psychrotrophic Rheinheimera sp. (KM459533) was optimized by the response surface methodology. Materials and Methods: The culture medium was tryptic soy broth containing 1% (w v -1 ) skim milk. First, the effects of variables were independently evaluated on the microbial growth and protease production by one-factor-at-a-time method within the following ranges: incubation time 24-120 h, temperature 15-37°C, pH 6- 11, skim milk concentration 0-2% (w v -1 ), and inoculum size 0.5-3% (v v -1 ). The combinational effects of the four major variable including temperature, pH, skim milk concentration, and inoculum size were then evaluated within 96 h using response surface methodology through 27 experiments. Results and Conclusion: In one-factor-at-a-time method, high cell density was detected at 72h, 20°C, pH 7, skim milk 2% (w v -1 ), and inoculum size 3% (v v -1 ), and maximum enzyme production (533.74 Uml-1 ) was achieved at 96h, 20°C, pH 9, skim milk 1% (w v -1 ), and inoculum size 3% (v v -1 ). The response surface methodology study showed that pH is the most effective factor in enzyme production, and among the other variables, only temperature had significant interaction with pH and inoculum size. The determination coefficient (R2 =0.9544) and non-significant lack of fit demonstrated correlation between the experimental and predicted values. The optimal conditions predicted by the response surface methodology for protease production were defined as: 22C, pH 8.5, skim milk 1.1% (w v -1 ), and inoculum size 4% (v v -1 ). Protease production under these conditions reached to 567.19 Uml-1 . The use of response surface methodology in this study increased protease production by eight times as compared to the observed before optimization. Conflict of interests: The authors declare no conflict of interest.
Assessing Clinical and Academic Performance in a Master’s Level Speech Language Pathology Program: A Path Analysis

This study assessed a path model to determine the direct and indirect effects on clinical and academic success from students’ undergraduate and graduate performance. Astin’s I-E-O model served as the theoretical foundation for the hypothesized model. Input (I) data included students’ undergraduate information (GPA, major, and GRE scores); Environment (E) data included grades in required graduate courses and formative clinical evaluation; and Output (O) data included PRAXIS score and summative clinical evaluation. The sample was 122 students who completed a SLP Program at a New England graduate school. Results of the path analysis supported the efficacy of the proposed model in determining the direct and indirect effects on professional competence. Graduate students with an undergraduate degree in SLP were at a disadvantage upon entry to the program relative to students from other undergraduate majors. Implications of the study are discussed.
Modeling of Laser-generated Radiative Blast Waves

We simulate experiments performed with the Falcon laser at Lawrence Livermore National Laboratory to generate strong, cylindrically diverging blast waves of relevance to astrophysics. In particular, we are interested in producing and modeling radiative shocks. We compare numerical simulations with the data and with an analytic approximation to blast-wave propagation with a radiative-loss term included. Our goal is to develop a laboratory setting for studying radiative shocks of relevance to supernova remnants, gamma-ray burst afterglows, and other high-energy astrophysics phenomena. We will show that a good degree of agreement exists between the experimental data and the numerical simulations, demonstrating that it is indeed possible to generate radiative shocks in the laboratory using tabletop femtosecond lasers. In addition, we show how we can determine the energy-loss rate from the blast-wave evolution. This analytic method is independent of the exact mechanism of radiative cooling and is scalable to both the laboratory and astrophysical radiative blast waves.
Reno-hepatic protective effects of Jambul against chromium induced anomalies in mice

The adequate amounts of chromium (Cr) enhance the endocrine system and metabolism but its ridiculous use and bio-accumulation through food chain might be causing oxidative stress. That study was conducted to evaluate the protective effects of Jambul (Syzygium cumini) against Cr induced reno-hepatic anomalies. Male albino mice (Mus musculus) were equally divided (n=10) as C; control, Cr-treatedandCr-JgroupsreceivingCr+6 in the form of potassium dichromate (K2Cr2O7) 50ppm for 10days ad-libitum while Cr-J group additionally given 0.25ml/12h Jambul Fruit Extract (JFE) for next 5days by oral gavage. On the 16th day blood, liver and kidney were collected for biochemical and histopathological analysis.Cr+6 treated group showed severe histological changes like necrosis, cirrhosis and dehydration in liver evident by significant elevation of Serum Glutamic Pyruvic Transaminase (SGPT), Serum Glutamic Oxaloacetic Transaminase (SGOT), Alkaline Phosphatase (ALP), total protein, bilirubin, globulin, creatine and uric acid along with reduction of SGOT/SGPT, Blood Urea Nitrogen (BUN), urea and albumin as compared to control. Treatments with JFE after Cr+6 exposures significantly improved the hepatic and renal functional profiles possibly by partial liver rehabilitation and regeneration. The JFE significantly recovered the histopathological alterations in reno-hepatic tissue by free radicals scavenging and metal chelating abilities due to presence of anthocyanin, flavonoids and β-sitosterol. The JFE’sprotective effects against heavy metals environmental toxicants especially Cr+6 is novel and cheapest; that should be sponsored for ethno-medicinal purpose. Keyword: Cirrhosis, necrosis, oxidative stress, lipid peroxidation, flavonoids, anthocyanin, β-sitosterol, Syzygium
Space-Time Coded Massive MIMO for Next Generation Wireless Systems

This paper serves as an evaluation of an experimental wireless communications technique called space-time coded massive (STCM) multiple-input multiple-output (MIMO). The STCM-MIMO system utilizes two massive MIMO antenna arrays which transmit data over two channel vectors to a user with one receive antenna. This configuration permits the system to use the asymptotic orthogonal qualities of massive MIMO pre-coding to eliminate the interference from other users’ channel vectors and signals. The system also maintains the diversity of space-time codes to recover lost data through treating each transmitting massive MIMO array similarly to how a 2×1 Alamouti spacetime code would treat each transmitting antenna. Our results show that a wireless system with the proposed STCM-MIMO technology can significantly outperform those with space-time coding techniques.
Ontogenetic changes in phototactic behavior during metamorphosis of artificially reared Japanese eel Anguilla japonica larvae

The larvae of anguillid eels are termed leptocephali, among other reasons, because they differ greatly in morphology and physiology from other fish larvae. Leptocephali grow to large sizes but are transparent and fragile and have an unusual feeding strategy, so their behavior or ecology has rarely been studied. We used leptocephali, metamorphosing larvae and glass eels reared artificially from eggs to study the ontogenetic change in phototaxis in Japanese eel Anguilla japonica. By study- ing the early life history of this eel, our intent was to learn more about behavioral mechanisms asso- ciated with their vertical migration in the ocean and their long migration from the offshore spawning area to coastal waters. Horizontal distribution experiments found a clear negative phototaxis in the leptocephalus and metamorphosing larval stages, but no phototaxis was detected after metamor- phosis into glass eels. Vertical distribution experiments found that overhead lighting caused down- ward movement in leptocephali and metamorphosing larvae. When kept in darkness, leptocephali and metamorphosing larvae were distributed near the surface layer at night and at the bottom dur- ing daylight hours, suggesting an endogenous circadian rhythm that may control their diel vertical migration. Glass eels exhibited benthic distribution under any light conditions (0.0039 to 3.9 µmol quanta m -2 s -1 ), but showed random vertical distribution in darkness during both daytime and night- time, a behavior which appeared to be controlled only by light. Swimming speeds of leptocephali during horizontal movement and rising behavior were significantly greater than during diving behavior. These swimming behaviors and ontogenetic changes in phototactic behavior may help reg- ulate the vertical distribution and inshore migration of anguillid eel larvae in the ocean.
Tonic Independent Temporal Music Pattern Recognition in Indian Classical Music

A vital aspect of Indian Classical music (ICM) is the Raag, which serves as a base 1 on which improvisations and compositions (IAC) are created and presented. While 2 every Raag represents a unique emotion, it allows a musician to explore and convey 3 his interpretation of the lyrical content of a song. Although many works have 4 explored the problem of classification of Raag, they have several short comings 5 owing to the fact that they assume a prior knowledge of the tonic of the audio or is 6 dependent on a preprocessing technique that identifies the tonic. In this work we 7 introduce 1) a novel data augmentation technique leveraging an inherent aspect of 8 ICM that the semantics of IAC are only dependent on the relative position of notes 9 with respect to the tonic and not the tonic itself 2) Convolutional Neural Network 10 based approach to build a robust model that can classify Raag independent of the 11 tonic. 12
Assessing the design and power of capture-recapture studies to estimate demographic parameters for the Endangered Oceania humpback whale population

Capture−recapture studies offer a powerful tool to assess abundance, survival and population rate of change (λ). A previous capture−recapture study, based on DNA profiles, esti- mated that the IUCN-listed Endangered Oceania population of humpback whales had a super- population size of 4329 whales (95% confidence limits, CL: 3345, 5315) and λ = 1.03 (95% CL: 0.90−1.18) for the period 1999−2005. This low estimate of λ contrasts with the high estimated λ for the neighbouring east Australia population (1.11; 95% CL: 1.105−1.113). A future assessment of Oceania humpbacks through capture−recapture methodology has been proposed to meet 3 objec- tives: (1) estimate population size with a coefficient of variation of < 20%, and detect if λ is signif- icantly different from (2) 1.00 or (3) λ of east Australia. The proposed survey design involves using DNA profiles to identify whales on principal breeding grounds within Oceania in proportion to the abundance of whales on these grounds over the 10 to 12 wk wintering period, to minimise capture heterogeneity between individuals and to maximise capture probabilities. Simulations of the idealised survey design incorporating data from the previous surveys (1999−2005) with 3 new survey years were conducted under a range of scenarios for the 'true' demographic status of the population. Simulations of the entire Oceania region showed that the proposed design will give sufficient power to meet objectives (1) under all scenarios, (2) if the true λ≥ 1.05 and (3) if the true λ≤ 1.05. Region-specific simulations suggested there was scope to test for differences in recovery between principal breeding sites within Oceania.
Oil Price Shocks and Sectoral Outputs : Empirical Evidence from Malaysia

This article examines the oil price-output nexus for the case of Malaysia between the years 1970 to 2014. Autoregressive Distributed Lag (ARDL) modeling approach is adopted to investigate long-run relationships among oilprice and real aggregate GDP as well as the real outputs of agriculture, manufacturing, industrial and service sectors. The outcomes of linear ARDL cointegration analysis fails to reveal any long-run relationship among the variables. Subsequently, all models are re-estimated by deploying the nonlinear ARDL approach to cointegration. The evidence of nonlinear long-run relationship is found for oil price and the Malaysian manufacturing and industrial outputs. Notably, the long-run parameter estimates reveal that oil price increase enhances outputs significantly, whereas oil price decrease has significant negative impact on these two sectoral outputs. It is suggested in this article that policymakers need to consider the nonlinear effect of oil price shocks to formulate policy which is able to maintain favorable environment that enhances economic growth. We would like to acknowledge the Higher Ministry of Education, Malaysia for its partial financial support via UNIMAS RIMC grant number F01/SpFRC/1435/16/3 funded to the Center for Business, Economics, Finance Forecasting, Faculty of Economics and Business, UNIMAS. We owe a special thank to Professor Dr John P. Conley for his editorial advice and encouragement. We are grateful to the Reviewer for the valuable comments that help to improve the quality of this manuscript substantially. The remaining errors are solely our responsibility. Citation: Venus khim-sen Liew and Arunnan Balasubramaniam, (2017) ''Oil Price Shocks and Sectoral Outputs: Empirical Evidence from Malaysia'', Economics Bulletin, Volume 37, Issue 1, pages 38-47 Contact: Venus khim-sen Liew ksliew@unimas.my, Arunnan Balasubramaniam arunnan@utar.edu. my. Submitted: August 30, 2016. Published: January 13, 2017.
Wahrscheinlichkeitsdichten Modeling of Uncertainties and State Estimation with Sets of Probability Densities

Zusammenfassung Die systematische Behandlung von Unsicherheiten stellt eine wesentliche Herausforderung in der Informationsfusion dar. Einerseits müssen geeignete Darstellungsformen für die Unsicherheiten bestimmt werden und andererseits darauf aufbauend effiziente Schätzverfahren hergeleitet werden. Im Allgemeinen wird zwischen stochastischen und mengenbasierten Unsicherheitsbeschreibungen unterschieden. Dieser Beitrag stellt ein Verfahren zur Zustandsschätzung vor, welches simultan stochastische und mengenbasierte Fehlergrößen berücksichtigen kann, indem unsichere Größen nicht mehr durch eine einzelne Wahrscheinlichkeitsdichte, sondern durch eine Menge von Dichten repräsentiert werden. Besonderes Augenmerk liegt hier auf den Vorteilen und Anwendungsmöglichkeiten dieser Unsicherheitsbeschreibung. Summary Treating uncertainties properly is a difficult but necessary task in data fusion applications. In order to meet this challenge, appropriate uncertainty models are required and efficient state estimation techniques need to be derived. The most common approaches are to model uncertain quantities as random variables or as bounded sets. This paper presents a state estimation framework that allows for a simultaneous treatment of stochastic and unknown but bounded uncertainties. This is achieved by characterizing an uncertain quantity by a set of probability densities. Finally, promising applications of the derived concept are described.
Religion and depression : Mutual effects in elderly

Epidemiology and definition of depression and late life depression According to the WHO depressions will be the second common disease worldwide in 2020 (Murray and Lopez 1997). Depression among elderly is very common especially in highly industrialized countries: 2 million senior citizens in the US, ages 65 and older, suffer from severe clinical depression while 5 million others suffer from mild cases of psychological and emotional disorders (National Institute of Mental Health 2003). Some of the reasons can be – beside less exercise, overweight, somatic diseases: Most people assume that it is natural for aging people to feel depressed, thus, taking for granted the real causes of depression. Physicians themselves may ignore the fact that an elderly is depressed as they tend to focus on the patient’s physiological concerns. Besides, senior citizens themselves do not talk about their emotions, or do not have someone to talk to. (Cattell 2000) Even when depression in older people seems to have less symptoms, the risk for becoming suicidal in over 75 years old people is 30,5% (in comparison to 3,4% in people below 25 years of age (Weyerer and Bickel 2007). The prevalence rates of depression in nursing homes are between 40 and 50%, 15 to 20% of these inhabitants are severely ill (Ernst and Angst 1995). Males aged 75 and over have the highest rates of suicide in nearly all industrialised countries, and among many of these nations suicide rates rise with age. Risk factors for elderly suicide are older age, male gender, living alone, bereavement (especially in men), psychiatric illness, depression, alcohol misuse, previous suicide attempt, vulnerable personality traits, physical illness, and pain (Cattell 2000).