Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of selenium (Sel-Plex) supplement on blood biochemical parameters of juvenile Siberian sturgeon (Acipenser baerii)

Selenium (Se) and many of its compounds are among the most toxic micronutrients. Therefore, determining the optimal level of selenium in the diet of fish is one of the main concerns of researchers. The present study was designed to investigate the effects of Sel-Plex® (Selenium-enriched Saccharomyces cerevisiae yeast) on blood biochemical parameters in juvenile Siberian sturgeon, Acipenser baerii, as clinical biomarkers to evaluate the effects of selenium on the health of fish. In this study, fish were fed diets supplemented with 0 (control), 5, 10 and 15 g Sel-Plex per Kg feed for 8 weeks. Although a significant (P < 0.05) decrease was observed in alkaline phosphatase (ALP) and gamma-glutamyl transferase (GGT) activity in fish fed with 15 g Sel-Plex supplement, plasma aspartate aminotransferase (AST) and alanine aminotransferase (ALT) activities were significantly higher (P < 0.05) than the control fish. The results showed that administration of 10 and 15 g Sel-Plex supplement in ﬁsh signiﬁcantly (P < 0.05) increased LDH and CPK activities. Administration of Sel-Plex significantly (P < 0.05) decreased glucose, albumin, cholesterol and triglyceride concentrations. The results revealed that Sel-Plex significantly increased (P < 0.05) globulin concentrations in the supplemented groups compared with the control group. Decreased total protein concentrations were only observed in fish fed with 5 g Sel-Plex. The results of this study show that diets containing high concentrations of Sel-Plex (10 g and 15 g) produced serious toxic effects, including changes in blood biochemical parameters.
Employing Diversity and Similarity Indices to Evaluate Geopedological Soil Mapping in Miyaneh, East Azerbaijan Province, Iran

The geopedological viewpoint attempts to distinguish and introduce the smallest map unit that has the highest levels of homogeneity and uniformity with respect to landform, lithology, and soil, especially if the relationship between geomorphology and soils in the region is well defined. This research intended to investigate the degree of validity generalization of results obtained in the geopedology approach for similar landforms in the Miayneh region of East Azerbaijan Province, Iran. For this purpose, soil diversity study was conducted through measuring it in a hierarchical sequence in categories of USDA soil taxonomy and by comparing similar units in the geopedological method through employing pedodiversity and similarity indices. After preparing the initial interpretative map (based on aerial photographs) at a scale of 1:20,000, the HPu211 unit that covered the greatest delineation of study area was selected and 28 soil profiles, about 90 meters apart, were excavated, described, and sampled in this unit. The degree of validity generalization of geopedological results for the mentioned unit was determined by digging 14 other soil profiles in a similar unit, called the validation area, which was located outside of the sample area. Results indicated that the value of Shannon’s diversity index increased from the level of soil order to soil family in both the sample and the generalization areas; however, only at the soil family level were there significant differences between soil diversity in the two areas at the confidence level of 95%. As well as classification of the profiles dug in the generalization area was different from that of the profiles dug in the sample area at the category of soil family. Therefore, it is possible that management generalizability in this method, even at the detailed scale, can satisfy the related needs. Consequently, interpretative or managerial purity of geopedological units must be considered in future research.
Evidence of a hidden-order pseudogap state in URu2Si2 using ultrafast optical spectroscopy

Ultrafast optical spectroscopy was utilized to investigate carrier dynamics in the heavy-fermion compound URu2Si2 from 5 to 300 K. The amplitude and decay time of the photoinduced reflectivity increase in the vicinity of the coherence temperature T ∗ ∼ 57 K, consistent with the presence of a hybridization gap. At 25 K, a crossover regime manifests as a new feature in the carrier dynamics saturating below the hidden-order transition temperature of 17.5 K. This is indicative of a psuedogap region (17.5 K < T < 25 K) separating the normal Kondo-lattice state from the hidden-order phase. Rothwarf-Taylor modeling of the data yields values of ∼10 meV (5 meV) for the hybridization gap (hidden-order gap).
Estrogen Deficiency Increases the Variability of Mineralization of Bone Surrounding Teeth

Estrogen deficiency increases bone remodeling. Increased remodeling activity yields bone tissue with a higher percentage of immature/newly formed bone, ultimately leading to increased variability of mineralization. Due to the functional demands of mastication, alveolar bone is inherently a highly remodeled region of bone tissue. Does estrogen deficiency affect alveolar bone’s remodeling and subsequent mineralization? Objectives: Using a rat model of ED, the objectives of this study were 1) to assess regional variation of mineralization in the mandible, and 2) to assess the effects of estrogen deficiency on the magnitude of regional variation. Methods: Ovariectomized (OVX, n=10) and sham surgery (Sham, n=10) rat mandible sections were scanned by micro-computed tomography (micro-CT) with a voxel resolution of 20 micrometers. The images of each section were manipulated using imaging software to isolate a portion of alveolar bone (AB) within 200 micrometers of root surface and a control bone (CB) region 200 micrometers removed from all internal and external mandibular bone borders. CT attenuation values were maintained and gray level voxel values were reported in Hounsfield Units (HU). Histograms were generated to analyze gray level frequency distribution. HU parameters analyzed were Mean, Standard Deviation (SD), Coefficient of Variation (COV) (to normalize SD) and percentile values (5 th = Low5, and 95 th =High5). Paired t-tests were used to assess regional variation of mineralization between AB and CB for all specimens. The magnitude of regional variation (how different AB
Effects of dietary exposure to aflatoxins on some plasma biochemical indices of common carp (Cyprinus carpio)

Aflatoxins are a group of secondary fungal metabolites that occur widely in natural contaminants of many feeds under high humidity and temperature, and are potentially dangerous to fish. Therefore, this study was designed to investigate the effects of aflatoxins on some plasma biochemical indices, as clinical biomarkers, in common carp, Cyprinus carpio. Fish were fed diets contaminated with 0 (control), 0.5, 0.7 and 1.4 mg aflatoxins per kg feed for 3 weeks. No significant changes (P > 0.05) were observed in alanine aminotransferase (ALT) activity in plasma of fish. Alkaline phosphatase (ALP) activity, total protein and globulin levels in fish fed aflatoxins showed a significant (P < 0.05) decrease; however, plasma aspartate aminotransferase (AST) and lactate dehydrogenase (LDH) activities, glucose, cholesterol, triglyceride and creatinine levels were significantly higher (P < 0.05) than the control group. The results showed that administration of 0.70 and 1.40 mg kg-1 of aflatoxins in ﬁsh signiﬁcantly (P < 0.05) increased albumin levels. The results of this study show that diets containing certain concentrations of aflatoxins (0.5, 0.7 and 1.4 mg kg-1 feed) made serious toxic effects, including changes in plasma biochemical indices.
Features and perspectives of automatized construction crane-manipulators

Modern construction industry still has a high percentage of manual labor, and the greatest prospects of improving the construction process are lying in the field of automatization. In this article automatized construction manipulator-cranes are being studied in order to achieve the most rational design scheme. This is done through formulating a list of general conditions necessary for such cranes and a set of specialized kinematical conditions. A variety of kinematical schemes is evaluated via these conditions, and some are taken for further dynamical analisys. The comparative dynamical analisys of taken schemes was made and the most rational scheme was defined. Therefore a basis for a more complex and practical research of manipulator-cranes design is given and ways to implement them on practical level can now be calculated properly. Also, the perspectives of implementation of automated control systems and informational networks on construction sites in order to boost the quality of construction works, safety of labour and ecological safety are shown.
Assessing the Effect of Long Term Physical Training and Classification of Training Status Using HRV and HRR of Female Police Recruits

The changes in Heart Rate Variability (HRV) and Heart Rate Recovery (HRR) coincide well with the changes in physical training status in patient populations. But a deep probing in this area reveals that enough attention has not been paid so far to the healthy population, especially those who undergo deliberate training. This study was conducted to quantify the effect of nine months of basic police training in HRV/HRR among a sample of women police recruits of Kerala state. Consequently, the training was found to be effective in altering the parasympathetic and nonlinear control of the cardiovascular system. The statistical analysis using dependent sample t-test showed that there was a significant alteration of linear and nonlinear HRV measures and HRR features prior to post-training. The study also investigated the discriminatory potential of five-minutes each of supine HRV and post-exercise HRR in classifying the recruits into trained and untrained status. The optimal HRV/HRR feature set that could discriminate the training status with the highest accuracy were identified by using Genetic Algorithm-Artificial Neural Network (GA-ANN) and Genetic Algorithm-Support Vector Machine (GA-SVM) based wrapper functions. A reduction in HRV feature set to 50% and HRR feature set to 68.5% was found using the GA optimization. While classifying, the SVM classifier outperformed the ANN with maximum accuracy (89.7%) using the reduced feature set of HRR. The results promise objective selection of welltrained candidates to professions which demand high physical fitness.
Clinical effects of probiotics: scientific evidence from a paediatric perspective

Probiotics are live micro-organisms that when given in adequate amounts can cause health benefits. The safety and efficacy of probiotics in the prevention and treatment of various clinical conditions have been evaluated in randomised controlled clinical trials, systematic reviews and meta-analyses. Generally, their safety has been documented. As a supplement to standard rehydration therapy, probiotics have been demonstrated to shorten the duration of diarrhoea resulting from acute viral gastroenteritis and in preventing antibiotic-associated diarrhoea in healthy children. Preliminary evidence suggests that probiotics might prevent necrotising enterocolitis in very-low-birth-weight infants, but further studies are needed before definite conclusions can be drawn. Probiotics have also been assessed in the treatment and prevention of allergic disease but the results, although promising, need further confirmation. Targeting a paediatric population, probiotics have been evaluated in the treatment of irritable bowel syndrome, ulcerative colitis, Helicobacter pylori gastritis and infantile colic, but at this stage, there is no evidence to support their routine use for these indications. There is a great need for studies aiming at disentangling the mechanisms by which probiotics mediate their clinical effects and for comparative studies between various probiotic bacteria. We still need to know which probiotic(s) to use and for which indications. A clearer message on dosages, optimal timing and duration of administration is needed. For this purpose, more carefully designed and sufficiently powered, randomised controlled trials with predefined outcomes are needed.
Heat and Mass Transfer of Upper Convected Maxwell Fluid Flow with Variable Thermo-Physical Properties over a Horizontal Melting Surface

The objective of this article is to present the dynamics of an Upper Convected Maxwell (UCM) fluid flow with heat and mass transfer over a melting surface. The influence of melting heat transfer, thermal and solutal stratification are properly accounted for by modifying the classical boundary conditions of temperature and concentration respectively. It is assumed that the ratio of inertia forces to viscous forces is high enough for boundary layer approximation to be valid. The corresponding influence of exponential space dependent internal heat source on viscosity and thermal conductivity of UCM is properly considered. The dynamic viscosity and thermal conductivity of UCM are temperature dependent. Classical temperature dependent viscosity and thermal conductivity models were modified to suit the case of both melting heat transfer and thermal stratification. The governing non-linear partial differential equations describing the problem are reduced to a system of nonlinear ordinary differential equations using similarity transformations and completed the solution numerically using the Runge-Kutta method along with shooting technique. For accurate and correct analysis of the effect of variable viscosity on fluid flow in which (Tw or Tm)
Towards smarter cities taking advantage of the Fog Computing paradigm

El termino fog computing [computacion en la niebla o niebla computacional] ha cobrado auge en los ultimos anos por su incidencia en la disminucion de la latencia que tienen las aplicaciones de Internet de las Cosas [IoT, Internet of Things], las cuales demandan respuestas en tiempo real o cercano al real, asi como por el menor consumo de ancho de banda que resulta de resolver parte del procesamiento mas cerca de los dispositivos del usuario final. Ya no es suficiente el paradigma de la cloud computing [nube computacional]. En el presente, la necesidad del “dato” y de la toma de decision al instante impulsan, o de alguna manera descubren, un horizonte nuevo que demanda de una variante complementaria. Este articulo constituye un acercamiento al termino fog computing, aparejado con el analisis de su necesidad ante soluciones ingenieriles en el campo de la IoT, su impacto en las ciudades inteligentes y demas campos de accion, y algunos de susprincipales retos. Se ofrece ademas, una hoja de ruta para implementar un sistema de recomendacion de lugares de interes al viajero basado en fog computing, en el marco de un proyecto de ciudades inteligentes en La Habana.
RIGIDITY OF PROPER COLORINGS OF Zd

A proper q-coloring of a domain in Z is a function assigning one of q colors to each vertex of the domain such that adjacent vertices are colored differently. Sampling a proper q-coloring uniformly at random, does the coloring typically exhibit long-range order? It has been known since the work of Dobrushin that no such ordering can arise when q is large compared with d. We prove here that long-range order does arise for each q when d is sufficiently high. Our results further characterize all periodic maximal-entropy Gibbs states for the model. Ordering also emerges in low dimensions if the lattice Z is replaced by Z1 × T2 with d1 ≥ 2, d = d1 + d2 sufficiently high and T a cycle of even length. The results address questions going back to Berker–Kadanoff (1980), Kotecký (1985) and Salas–Sokal (1997).
Understanding how teacher perceived teaching professionalism

This research aims to obtain a quantitative description of teacher’s perception on the meaning of teaching profession. The data were collected using a questionnaire given to 22 randomly selected subjects of primary schools in Sidoarjo, Indonesia. This research employed descriptive statistical analysis using the Rasch Model. Rasch Model was chosen as data analysis tool since it allows detailed analysis of the person and item being measured. The result showed that teachers generally agree that teaching profession is one of high-status professions, although they differ in justifying the characteristics of a high-status profession, especially for the teaching profession. Keywords-component; Teacher; Teaching; Primary Schools.
Effects of video game on socio- behavioral environment

Background: Nowadays the teens playing outdoor games are difficult to be seen and of course, they play all these games not in reality but in a screen using video games. The biggest revolution in electronic world has put our teens more addicted towards video games which not only affect their academic performance but also have impact on their behaviour and health. The objectives of the study were to assess the pattern of video game usage among the study population; to determine the influence of video game in behaviour of the study population.Methods: The study was conducted as a cross sectional study during January and February 2018, among medical students of tertiary care hospital, Chennai. The data was collected using preformed pretested questionnaire. Data were analyzed using SPSS 21.Results: Out of 211 study participants, majority 168 (80%) were males. Around, 97 (45.9%) participants, liked to play during night hours and most 114 (54.1%) of them preferred adventure and racing games. The change in behavioral patterns like, skipping sleep 20 (25.3%), using bad words 22 (27.8%), betting 40 (50.6%), risky stunts 38 (48.1%) were observed. Around half of the participants 97 (46%) were giving complaints of various health problems like finger pain, 72 (34.1%) wrist pain, 63 (29.8%) neck pain, and 54 (26%) eye pain due to usage of video games.Conclusions: The behavioral patterns explored in this study are alarming which suggest that this age group has to be sensitized on the self control to use the video games.
Moving beyond panaceas: a multi-tiered diagnostic approach for social-ecological analysis

SUMMARY Disturbances to key aspects of ecological systems, including biodiversity loss, climate change, pollution and natural resource degradation, have become a major concern to many policy analysts. Instead of learning from the study of biological complexity however, social scientists tend to recommend simple panaceas, particularly government or private ownership, as ‘the’ way to solve these problems. This paper reviews and assesses potential solutions for such overly simplified institutional prescriptions, referred to here as the ‘panacea problem’. In contrast to these simple prescriptions, recent research efforts are now illustrating the diversity of institutions around the world related to environmental conservation. The complexity of working institutions, however, presents a challenge to scholars who equate scientific knowledge with relatively simple models that predict optimal performance if specific institutional arrangements are in place. Dealing with this complexity has led to the development of frameworks as meta-theoretical tools. The institutional analysis and development (IAD) framework has been used over the last three decades as a foundation for a focused analysis of how institutions affect human incentives, actions and outcomes. Building on this foundation, the social-ecological systems (SES) framework has recently enabled researchers to begin the development of a common language that crosses social and ecological disciplines to analyse how interactions among a variety of factors affect outcomes. Such a framework may be able to facilitate a diagnostic approach that will help future analysts overcome the panacea problem. Using a common framework to diagnose the source, and possible amelioration, of poor outcomes for ecological and human systems enables a much finer understanding of these complex systems than has so far been obtained, and provides a basis for comparisons among many systems and ultimately more responsible policy prescriptions.
On the split-step method for the solution of nonlinear Schrödinger equation with the Riesz space fractional derivative

The aim of this paper is to extend the split-step idea for the solution of fractional partial differential equations. We consider the multidimensional nonlinear Schrödinger equation with the Riesz space fractional derivative and propose an efficient numerical algorithm to obtain it’s approximate solutions. To this end, we first discretize the Riesz fractional derivative then apply the Crank-Nicolson and a split-step methods to obtain a numerical method for this equation. In the proposed method there is no need to solve the nonlinear system of algebraic equations and the method is convergent and unconditionally stable. The proposed method preserves the discrete mass which will be investigated numerically. Numerical results demonstrate the reliability, accuracy and efficiency of the proposed method.
Support Vector Machine and Probability Neural Networks in a Device-Free Passive Localization (DFPL) Scenario

Abstract The holy grail of tracking people indoors is being able to locate them when they are not carrying any wireless tracking devices. The aim is to be able to track people just through their physical body interfering with a standard wireless network that would be in most peoples home. The human body contains about 70% water which attenuates the wireless signal reacting as an absorber. The changes in the signal along with prior fingerprinting of a physical location allow identification of a person’s location. This paper is focused on taking the principle of Device-free Passive Localisation (DfPL) and applying it to be able to actually distinguish if there is more than one person in the environment. In order to solve this problem, we tested a Support Vector Machine (SVM) classifier with kernel functions such as Linear, Quadratic, Polynomial, Gaussian Radial Basis Function (RBF) and Multilayer Perceptron (MLP), and a Probabilistic Neural Network (PNN) in order to detect movement based on changes in the wireless signal strength.
Plant Protection by Benzoxazinoids—Recent Insights into Biosynthesis and Function

Benzoxazinoids (BXs) are secondary metabolites present in many Poaceae including the major crops maize, wheat, and rye. In contrast to other potentially toxic secondary metabolites, BXs have not been targets of counter selection during breeding and the effect of BXs on insects, microbes, and neighbouring plants has been recognised. A broad knowledge about the mode of action and metabolisation in target organisms including herbivorous insects, aphids, and plants has been gathered in the last decades. BX biosynthesis has been elucidated on a molecular level in crop cereals. Recent advances, mainly made by investigations in maize, uncovered a significant diversity in the composition of BXs within one species. The pattern can be specific for single plant lines and dynamic changes triggered by biotic and abiotic stresses were observed. Single BXs might be toxic, repelling, attractive, and even growth-promoting for insects, depending on the particular species. BXs delivered into the soil influence plant and microbial communities. Furthermore, BXs can possibly be used as signalling molecules within the plant. In this review we intend to give an overview of the current data on the biosynthesis, structure, and function of BXs, beyond their characterisation as mere phytotoxins.