Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of flexibility and vertical jumping ability between basketball and football players

The purpose of the study was to compare the flexibility and vertical jumping ability between intercollegiate men basketball and football players. To achieve this purpose, 30 men players (Basketball= 15 and Football= 15) were selected randomly as the subjects from Schools of Thoothukudi District. The age of the subjects were ranged from 13-16 years. Flexibility and vertical jumping ability were selected as dependent variables for this study. Flexibility was measured by using sit and reach test and vertical jumping ability was measured by using Sargent jump teat. The experimental design used for this study was static group comparison design. The collected data were statistically analyzed for significant difference by using independent‘t’ test. In all the cases 0.05 level of significance was used to test the hypothesis. It was concluded that, there was no significant difference was found among the basketball and football players on flexibility and vertical jumping ability. Football players showed better performance on flexibility and vertical jumping ability when compared to basketball players.
Dietary Lactic Acid Bacteria Modulate Yolk Components and Cholesterol Metabolism by Hmgr Pathway in Laying Hens

21/January/2020 Approved: 07/July/2020 ABSTRACT This study aimed to investigate the effect of dietary lactic acid bacteria (LAB) on egg production, yolk components, cholesterol metabolism, and enterohepatic circulation of bile acids in hens. Four treatment diets included a control and LAB added at 3 × 10 5 (low), 3 × 10 7 (medium), or 3 × 10 9 (high) cfu/kg. The treatment LAB contained equal amounts of Lactobacillus acidophilus , Lactobacillus plantarum , and Enterococcus faecium . Results showed that high LAB increased ( p< 0.05) laying rate, egg mass, and yolk phospholipid, but decreased ( p< 0.05) yolk triglyceride and phosvitin. Diets with LAB decreased ( p< 0.05) yolk and serum cholesterol content, and serum bile acid by 9.3 to 39.9%. In liver, high LAB downregulated ( p< 0.05) mRNA expression of serine/threonine kinase 11 (STK11), 3-hydroxy-3-methylglutaryl-CoA reductase (HMGR), AMP-activated protein kinase catalytic subunit (PRKAA1, 2), and protein phosphatase catalytic subunits (PPP2CA, PPP2CB and PPP3CA) by 49.5 to 175.4%. In mucosa, high LAB downregulated ( p< 0.05) PRKAA1 and HMGR by 68.2 and 69.6%, respectively; but upregulated ( p< 0.05) PPP2CA and PPP2CB by 51.2 and 45%, respectively. Linear decreasing ( p≤ 0.035) responses to LAB doses were found on cholesterol, phosvitin, bile acid, and hepatic gene expressions, and quadratic ( p≤ 0.006) effects on yolk cholesterol and hepatic STK11. It is concluded that probiotic LAB can improve yolk components and decrease hepatic cholesterol synthesis by regulating HMGR
Xi, Xun and Yang, Shangtong and Li, Chun-Qing (2018) A non-uniform corrosion model and meso-scale fracture modelling of concrete. Cement

Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.
Cost-awareant colony optimization based model for load balancing in cloud computing

: Balancing the incoming data traffic across the servers is termed as Load balancing. In cloud computing, Load balancing means distributing loads across the cloud infrastructure. The performance of cloud computing depends on the different factors which include balancing the loads at the data center which increase the server utilization. Proper utilization of resources is termed as server utilization. The power consumption decreases with an increase in server utilization which in turn reduces the carbon footprint of the virtual machines at the data center. In this paper, the cost-aware ant colony optimization based load balancing model is proposed to minimize the execution time, response time and cost in a dynamic environment. This model enables to balance the load across the virtual machines in the data center and evaluate the overall performance with various load balancing models. As an average, the proposed model reduces carbon footprint by 45% than existing methods.
FEATURES OF RECOGNITION TASKS IN ENCODING SPECIFICITY: THE FUNCTION OF CONTEXT IN RECOGNITION TASKS1

The present experiment was carried out to examine whether the type of context in recognition tasks influenced memory processes in recall and recognition. After the practice list had been studied, subjects were given 24 critical vst ho word pairs. Following the free associates task or the non-verbal task, they re,eived forced-choice recognition tasks, and then they were tested with 2-1 words by cued recall. Recognition failure of recallable words and recall superiority over recognition were observed in the different context condition under the free associates task, while they were reduced under other conditions. The results were explained from the inter-task interference position rather than the principle of encoding, specificity.
A Comparative Analysis of k-Nearest Neighbor, Support Vector Machine and Random Forest for Crime Event Type Prediction

— Crime-fighting and crime event type prediction and prevention cannot be overemphasized, as crime constitutes one of the biggest and prevailing problem in our society. Machine learning algorithms (MLAs are robust tools with ability to recognize patterns, classify and predict data, and can learn by themselves. This paper proposes a comparative analysis of three non-parametric MLAs (K-Nearest Neighbor (KNN), Support Vector Machine (SVM), and Random Forest (RF)) for crime event type prediction for effective predictive policing. It examines and compares the potential of the three algorithms to determine which is a better approach by analyzing real-worldwide atrocities crime datasets and will applied them for predicting crime event type, to curb crimes in the future. The crime dataset was cleaned and pre-processed using Principal Component Analysis (PCA) algorithm for feature selection for better accuracy and was partitioned into an 70% training set and a 30% testing set. Both the training and testing datasets were used in training the three MLAs for predicting potential crime event types and testing the models’ performance to evaluate the accuracy given by each algorithm and compare their training accuracies. The results of the training showed that KNN offered an accuracy of 0.967597 followed by SVM with an accuracy of 0.965828 and RF with an accuracy of 0.964973. From the results, it is observed that the KNN model gives the best performance and it’s most suitable in crime event type prediction. From the study, it is observed that KNN, when implemented, can also be used to increase the consciousness of people about the threatening crime locations. And can be deployed by law enforcement agencies to improve performance in classifying and predicting crime in society with an enhanced reliability and thus minimizes the cost of crime.
Multilevel Approach to Measuring Societal Vulnerability due to Failure of Critical Land Transport Infrastructure

Societal vulnerability is a part of a disaster risk assessment and crucial information necessary for supplementing hazard and mitigation assessments. Identification and assessment of various vulnerabilities of societies, economies, institutional structures and environmental resource bases are the basic information necessary for improving risk reduction and preparedness to any kind of hazard. This paper outlines our approach to measuring societal vulnerability caused by impacts of extreme weather events on critical land transport infrastructure. We propose to use a multilevel approach where the measure of societal vulnerability is expressed through Vulnerability Index calculated on the basis of selected vulnerability indicators. The higher value of vulnerability index indicates the more vulnerable area. In conclusions the issues of further enhancement of vulnerability identification and measuring are discussed.
VETROTURBINE SNAGE PREKO 20 MW – TEHNOLOŠKA PERSPEKTIVA WIND TURBINE BEYOND 20 MW – TECHNOLOGY PERSPECTIVE

The trend of wind turbine development has a special significance in the exploitation of renewable energy sources. At higher altitudes, we have better wind energy utilization higher speed and their conversion are achieved in the best possible use of wind turbines. The development of new technologies opens space for a new generation of wind turbines with a 20MW rated power. In recent years, various feasibility studies have shown that wind turbines with large rotor diameter and high towers give positive shifts in the analysis of structural and aerodynamic parameters, with a focus on reducing overall mass and damping vibrations due to the use of new materials. In this paper, the evolution of high power wind turbines and an overview of the technological development of the basic components of the turbine will be presented. Perspectives in the further development of wind turbines with rated power above 20MW will be also considered.
Extreme nonlinear terahertz electro-optics in diamond for ultrafast pulse switching

Polarization switching of picosecond laser pulses is a fundamental concept in signal processing [C. Chen and G. Liu, Annu. Rev. Mater. Sci. 16, 203 (1986); V. R. Almeida et al., Nature 431, 1081 (2004); and A. A. P. Pohl et al., Photonics Sens. 3, 1 (2013)]. Conventional switching devices rely on the electro-optical Pockels effect and work at radio frequencies. The ensuing gating time of several nanoseconds is a bottleneck for faster switches which is set by the performance of state-of-the-art high-voltage electronics. Here we show that by substituting the electric field of several kV/cm provided by modern electronics by the MV/cm field of a single-cycle THz laser pulse, the electro-optical gating process can be driven orders of magnitude faster, at THz frequencies. In this context, we introduce diamond as an exceptional electro-optical material and demonstrate a pulse gating time as fast as 100 fs using sub-cycle THz-induced Kerr nonlinearity. We show that THz-induced switching in the insulator diamond i.
Excess radiation exacerbates drought stress impacts on stomatal conductance along aridity gradients

Stomatal conductance (gs) of all co-existing species regulates transpiration in arid and semi-arid grasslands prone 10 to droughts. However, the effect of drought stress on gs is debated, and the interaction effects of abiotic and biotic constraints on canopy gs remain poorly understood. Here, we used 18 O enrichment of leaf organic matter above source water ( △ 18 O) as proxy for gs per leaf area to increase understanding of these effects. Three grassland transects were established along aridity gradients in Loess Plateau (LP), Inner Mongolian Plateau (MP), and Tibetan Plateau (TP) which differ in radiation and temperature conditions. Results showed that canopy gs consistently decreased with increasing aridity within transects. The 15 order of gs at a given aridity index was LP>MP>TP, due to suppressed effects of excess radiation and low temperatures among transects. Primary determinant of drought stress on gs was soil moisture (SM) in LP and MP, and vapor pressure deficit (VPD) in TP. Radiation exhibited consistently negative effect on gs via drought stress within transects, while temperature had positive effects on gs in LP, no effects in MP, and negative effects in TP. Adding the interaction of leaf area and abiotic factors increases the percent of explained variability in gs by 17 and 36% in LP and MP, respectively, but not in TP due to an overwhelming 20 effect of climate. The results highlighted the need to integrate multiple stressors and plant properties to determine spatial variability in gs. and aridity using standardized major axis (SMA) regression fits (Wright et al. , 2006) (R Core Team 2012). To determine the interactive effects of climate variables and plant properties on variability in gs along an aridity gradient, we fitted structural equation models using the “lavaan” package in R 155 statistical program (R Core Team 2012) based on the current knowledge of the interactive relationships between climate variables, plant properties, and gs. We chose the final models with high-fit statistics: comparative fit index >0.95, standardized root mean square residual < 0.08, and p-value
A real-time semi-supervised anomaly detection framework for fault diagnosis of marine machinery systems

Maritime companies are currently working to ensure a digital revolution within the maritime industry. Smart maintenance is pivotal in leading this transition, the aim of which is to employ internet of ships to perform real-time data collection through the utilisation of smart sensors, reliable communications, and seamless integration in order to apply predictive maintenance with the application of artificial intelligence and provision of relevant information. Therefore, regular diagnosis and prognosis can be performed to assess the current and future health of machinery to assist in decision-making processes. To enhance the current practices in this area, an innovative anomaly detection framework implementing LSTM-based VAE is proposed to address the challenges identified within this sector. A case study of a diesel generator of a tanker ship is introduced to assess the proposed methodology. Results demonstrated the capability of identifying anomalous instances under various simulated scenarios, thus achieving the maximum precision and recall when the context considers significant anomaly dimensions.
Piaget's Stages of Cognitive Development of the Child

The paper attempts to analyse how Piaget and his associates conducted a number of longitudinal studies in order to understand the process of cognitive development of the child. On the basis of these studies, Piaget observed that children develop concepts as a result of their interaction with the physical and social environment. Child's cognitive growth and development can be seen to take place in four more or less distinct phases. It is obvious from his studies that these phases or stages do not indicate specific age norms. The age ranges which Piaget has given for different stages vary from culture to culture but the sequence of these stages is fixed and invariant in the cognitive development of the child. He identified four broad stages. These four stages are:- (1) Sensorimotor Stage (2) Pre-operational stage (3) Concrete operational stage (4) Formal operational stage. An attempt has also been made here in this paper to trace that mental operations are not abrupt but gradually develop during child's growth from infancy to adolescence. The most significant stage for such mental operation to take place is the concrete operational stage during which the child shifts from a trans-deductive logic to "reversibility" and "equilibration", and thus marks the beginning of real logic as used by adults in day-to-day life.
ReDSDF: Regularized Deep Signed Distance Fields for Robotics

—The safe operation of autonomous robots requires avoiding unintentional contact between the robot itself and the environment, such as obstacles and humans. Distance-based constraints are fundamental for enabling robots to plan and act safely. Moreover, different applications require different distance resolutions, leading to various heuristic approaches for measuring distance fields w.r. t. obstacles. We propose Regularized Deep Signed Distance Fields (ReDSDF), a single neural implicit function that can compute smooth distance fields at any scale, with fine-grained resolution over high-dimensional manifolds and articulated bodies like humans, thanks to our effective data generation and a simple inductive bias during training. We demonstrate the effectiveness of our approach in representative simulated tasks for whole-body control (WBC) and safe Human-Robot Interaction (HRI) in shared workspaces.
Appendix: Linear-Time Probabilistic Solutions of Boundary Value Problems

The present appendix shows that the iterated extended Kalman filter (IEKS) yields a Gauss–Newton Laplace approximation of the posterior distribution (recall Equation (6) from the main paper) p(Y (T) | `L(Y ) = 0, `R(Y ) = 0, `0:N (Y ) = 0). (A.1) Let δ be the Dirac delta. Introduce the random variables ZL, ZR, Z0:N as ZL | Y (t0) ∼ δ(`L(Y )), ZR | Y (tmax) ∼ δ(`R(Y )), Zn | Y (tn) ∼ δ(`n(Y )(tn)). (A.2) The posterior distribution in Equation (A.1) becomes p(Y (T) | ZL = 0, ZR = 0, Z0:N = 0). (A.3) The difference between Equation (A.1) and Equation (A.3) is only notational. The reformulation in terms of Z will be useful in the next step. The prior distribution is Gaussian (recall Section 2.1), p(Y (T)) = N (m(T),K(T,T)) (A.4) for mean and covariance functions m and K that correspond directly to the stochastic differential equation (SDE) representation in Equation 2 in the main paper [1, Chapter 12]. The use of this general Gaussian process formulation, as opposed to a sequential notion that exploits the Markov property, will simplify the notation (and simultaneously slightly generalise the result). To show that the IEKS provides a Gauss–Newton version of the Laplace approximation, it is instructive to consider a relaxed version of the Dirac likelihoods; that is, let λ > 0 and (re)define (recall the ODE ẏ = f(y, t), and the boundary conditions Ly(t0) = y0, Ry(tmax) = ymax), ZL | Y (t0) ∼ N (LY0(t0)− y0), λI), (A.5a) ZR | Y (tmax) ∼ N (RY0(tmax)− ymax, λI), (A.5b) Zn | Y (tn) ∼ N (Y1(tn)− f(Y0(tn), tn), λI). (A.5c) In these formulas, I is always an identity matrix of appropriate size. The limit λ→ 0 recovers the Dirac likelihoods used in the previous paragraph and in the paper. In the Gaussian relaxation, the MAP estimate is the argument that minimises the following objective (the negative log-posterior),
Review on Natural Convective Heat Transfer Inside cavities

Heat transfer by natural convection arising from a hot source to its surrounding cavity has important attention in the last two decades because of extensive practical applications. Applications include electronics cooling, solar collectors, thermal storage systems, working fluid systems, reactors and gas insulated electrical transmission systems, renewable energy systems, discharging process, etc. The aim of adding the enclosure is to decrease the heat losses from the hot source to its surrounding or to protect the system from harsh outdoor environment. Different researches were carried out experimentally and theoretically to investigate the effect of different parameters on the natural convection heat transfer inside cavities such as, Rayleigh number, Prandtl number, magnetic effect (Hartmann number), inclination angle, position and location of heat source, changing the length of heat source, etc. Moreover, different enhancement techniques of heat transfer were used such as adding the nanoparticles to the based fluid, using of porous media under different thermal boundary conditions. The present paper includes a review on the natural convection heat transfer inside cavities with different conditions mentioned above.
Socio-economic condition of the fishermen in Shikharkhan Jelepara under Jaintiapur Upazila of Sylhet district

This study was undertaken to update the livelihood status of fishermen in Sikharkhan Jelepara in Jaintiapur Upazila of Sylhet District from April 2017 to October 2017. The data were collected through the questionnaire, survey, group discussion and public interview. The results of the study revealed some interesting facts and showed that most of involved fishermen were in 16-30 years age group (42%) whereas majority of them were Muslim (88%) and married (79%). About 61% people lived with joint family. About 50% of fishing community was illiterate. Furthermore, it was reported that most of the fishermen received treatment from village doctors. It was found that 52% house were Katcha while 33% house were Semi-pacca and only 15% house were pacca. About 65% people used ring toilet and 6% people used pacca toilet. About 93% households had electricity connections. Most of the fishermen (64%) level of income was within 72000-108000. They usually caught fishes from haors (52%) and beels (34%). Lack of proper knowledge, lack of proper marketing facilities, illiteracy not as much of governmental support was the major constraints. In the present study, educational, organizational, and technical credit support were very crucial to develop their better socio-economic conditions.
Clothoid-Based Real Time Path Planning for Autonomous Driving

We propose clothoid-based real time path planning for autonomous driving. Autonomous driving requires path planning and trajectory control to generate a feasible path. A path is usually established using GPS or predefined path information. However, it can be difficult to obtain the necessary path information due to environmental factors and surrounding conditions. To achieve that, we propose an algorithm that enables real-time clothoid-based path planning and trajectory control utilizing the detected lane, minimum turning radius, and driving radius. We simulated four different speeds (ranging from 20 km/h to 50 km/h) at a single-lane roundabout. The obtained simulation results show that our algorithm has no problems in real-time driving at various speeds
Tone (Non-) Transfer in Bantu Verbal Reduplication

A long-standing problem in analyzing Bantu verbal reduplication is to account for why tone does not usually transfer along with the segmental content of the Base. Even though most current theories of reduplication predict the reduplicant’s tone (and other prosodic information) should be faithful to the Base, in fact, this is found in only one Bantu language, Chichewa. In other Bantu languages, either tone is realized only on the Base, or the reduplicant (RED) forms a single domain of tone realization with the Base. In this paper, I propose that tone realization in the RED+Base complex falls out if the complex is a compound verb stem. Then tone realization in the complex can be seen to be parallel to accent realization in compounds in other languages. I show this analysis improves on previous ones as it correctly predicts a threeway, rather than two-way, pattern of variation in realizing tone in reduplicated forms. The analysis thus confirms work showing that both morphological and phonological factors determine the realization of reduplicative morphemes.