Miracle-dz/UniFAR-FTUs huggingface dataset:
How to be Successful in Football: A Systematic Review

Despite the popularity of football, the analysis of success factors in football remains a challenge. While reviews on performance indicators in football are available, none focuses solely on the identification of success factors and addresses the large and growing body of recent research up until 2016.To find out what determines success in football and to organize the body of literature, a systematic literature review analyzing existing studies with regard to success factors in football was undertaken.The studies included in this review had to deal with performance indicators related to success in football. The studies were published in 2016 or before. The initial search revealed 19,161 articles. Finally, sixty-eight articles were included in this review. The studies were clustered with regard to comparative analyses, predictive analyses and analyses of home advantage.In total, 76 different variables were investigated in the reviewed papers. It appeared that the most significant variables are efficiency (number of goals divided by the number of shots), shots on goal, ball possession, pass accuracy/successful passes as well as the quality of opponent and match location. Moreover, new statistical methods were used to reveal interactions among these variables such as discriminant analysis, factor analysis and regression analysis. The studies showed methodological deficits such as clear operational definitions of investigated variables and small sample sizes.The review allows a comprehensive identification of critical success factors in football and sheds light on utilized methodological approaches. Future research should consider precise operational definitions of the investigated variables, adequate sample sizes and the involvement of situational variables as well as their interaction.
Protective effect of tulsi and levetiracetam on memory impairment induced by pregabalin on mice

Memory impairment is the major concern of antiepileptic therapy. This study was undertaken to evaluate the memory impairment potential of Pregabalin (PGBL) and to assess the protective effect of hydro alcoholic extract of Ocimum sanctum leaves (OSHAE) and levetiracetam (LEV). Preliminary phytochemical screening and in-vitro antioxidant activity of OSHAE were done. Memory impairment induced by PGBL was evaluated by Morris water maze (MWM) test using mice as animal model. The animals were observed for Escape Latency Time (ELT) and Time Spent in Target Quadrant (TSTQ). OSHAE exhibited potent antioxidant and free radical scavenging activity. Chronic administration of PGBL was found to induce memory impairment by increasing ELT and decreasing TSTQ when compared to normal animals. Memory impairment of PGBL was restored significantly by co-administration of OSHAE and LEV along with potentiation of anticonvulsant activity of PGBL. PGBL alone treated animals have shown more acetylcholinesterase (AChE) level when compared with normal animals where as co-administration of OS and LEV produced a decrease in AChE levels when compared to vehicle and PGBL treated group. The above study can be used as a reference to correct antiepileptic drug (AED) induced memory impairment by co-administration of nootropics without compromising on its antiepileptic potential. Key-words: Levetiracetam, Memory impairment, Ocimum sanctum, Pregabalin
Effects of Human Placenta Extract Laennec on Quality of Life and Physical Performance in Patients with Chronic Fatigue Syndrome

Objective: to evaluate the efficacy and safety of human placenta extract (HPE) Laennec infusions in treatment of patients with verified diagnosis “Chronic fatigue syndrome” (CFS). Material and methods: The study involved 38 patients with CFS, randomized into 2 groups: the experimental group (HPEL, 24 people) - patients were treated by 10 intravenous Laennec infusions, 4 ml each, 2 times/week, for 5 weeks and passive control group (CTRL, 14 pers.). Before, after, and 5 weeks follow-up treatment efficacy was evaluated by severity of chronic fatigue (Chronic Fatigue inventory), state anxiety and depression level (STAI and STDI) and Health related Quality of Life (HRQoL, questionnaire SF-36v2), exercise tolerance (cardiopulmonary exercise test with gas analysis), blood parameters. Results: The HPEL patients showed a significant reduction in index of chronic fatigue values, which was accompanied by significant decrease in situational depression, anxiety, improvements in subjective assessment of HRQoL, as well as a significant increase in exercise performance indicator values - maximum oxygen consumption, anaerobic threshold, exercise time to fatigue, normalization of the lipid “profile” after treatments and in 5 weeks follow-up. No changes in chronic fatigue index and other recorded indicators have been identified in CTRL. HPE Laennec did not cause adverse events, was well tolerated by all patients. Conclusion: The course of HPE Laennec therapy in patients with CFS reduces the severity of psychiatric symptoms experienced by chronic fatigue, decreases elevated anxiety and depression levels, improves the subjectively assessed HRQoL and objectively registered parameters of exercise performance, cardiorespiratory fitness.
Broadband continuous spectral ghost imaging for high resolution spectroscopy

Ghost imaging is an unconventional imaging technique that generates high resolution images by correlating the intensity of two light beams, neither of which independently contains useful information about the shape of the object. Ghost imaging has great potential to provide robust imaging solutions in the presence of severe environmental perturbations, and has been demonstrated both in the spatial and temporal domains . Here, we exploit recent progress in ultrafast real-time measurement techniques to demonstrate ghost imaging in the frequency domain using a continuous spectrum from an incoherent supercontinuum (SC) light source. We demonstrate the particular application of this ghost imaging technique to broadband spectroscopic measurements of methane absorption, and our results offer novel perspectives for remote sensing in low light conditions, or in spectral regions where sensitive detectors are lacking.
Learning Styles in High School Mathematics

In this research, our purpose is to show that when considering the different styles of learning of each student, it is possible to improve the teaching-learning process of High School Mathematics. This research was originated because most of the students in natural way do not have interest in the learning of the Mathematics of High School. In the first place, the exercises were applied to two groups A and B, of 20 students each, considering only their learning styles in the first group. Then the results of their expressed traits of the students of each group are compared, when solving the same exercises of the course of Mathematics II. Finally, it is concluded that when considering the learning styles of the students, positive results are obtained in the teaching-learning process, such as: getting the student to motivate himself in the learning of High School Mathematics and how their evaluation will be better.
Follower Forces in Pre-Stressed Fixed-Fixed Rods to Mimic Oscillatory Beating of Active Filaments

Flagella and cilia are examples of actively oscillating, whiplike biological filaments that are crucial to processes as diverse as locomotion, mucus clearance, embryogenesis and cell motility. Elastic driven rod-like filaments subjected to compressive follower forces provide a way to mimic oscillatory beating in synthetic settings. In the continuum limit, this spatiotemporal response is an emergent phenomenon resulting from the interplay between the structural elastic instability of the slender rods subjected to the non-conservative follower forces, geometric constraints that control the onset of this instability, and viscous dissipation due to fluid drag by ambient media. In this paper, we use an elastic rod model to characterize beating frequencies, the critical follower forces and the non-linear rod shapes, for pre-stressed, clamped rods subject to two types of fluid drag forces, namely, linear Stokes drag and non-linear Morrison drag. We find that the critical follower force depends strongly on the initial slack and weakly on the nature of the drag force. The emergent frequencies however, depend strongly on both the extent of pre-stress as well as the nature of the fluid drag.
“Three-in-one” Nanohybrids as Synergistic Nanoquenchers to Enhance No-Wash Fluorescence Biosensors for Ratiometric Detection of Cancer Biomarkers

Purpose: Early diagnosis of cancer enables extended survival and reduced symptoms. To this end, a “three-in-one” nanohybrid of MOF@AuNP@GO is designed as synergistic nanoquencher to develop a novel fluorescence biosensor for rapid and sensitive detection of cancer-related biomarkers. Methods: The ssDNA absorption affinities and fluorescence quenching abilities of the MOF@AuNP@GO were evaluated using FAM-labeled single-stranded DNA (ssDNA). Then, two specific dye-labeled ssDNA and aptamer probes were designed for the recognition of p53 gene and prostate specific antigen (PSA), respectively. Fluorescence spectra were recorded and ratiometric signal processing was performed. Results: The designed nanohybrids exhibit enhanced ssDNA binding affinities and fluorescence quenching abilities, which significantly decrease the background signal and increase the signal-to-noise (S/N) ratio, thus lowering the detection limit (LOD). Accordingly, with ratiometric measurement, this developed nanosensor can sensitively measure p53 gene and PSA with LODs of 0.005 nM and 0.01 ng mL-1, respectively. Besides, this method also displays excellent performances with respect to universality, multiplexed detection, specificity, and practicality in human serum. Conclusion: The designed MOF@AuNP@GO-based fluorescence biosensor can serve as a promising platform for washing-free, rapid and sensitive measurement of cancer biomarkers, making this method well-suited for point-of-care (POC) diagnosis.
Diabetic Retinopathy Image Enhancement using Vessel Extraction in Retinal Fundus Images by programming in Raspberry Pi Controller Board

: Diabetic retinopathy is one of the leading complication of diabetes and also one of the leading preventable blindness. Early diagnosis and treatment may prevent such condition or in other words, annoyance of the disease may be overcome. The fundus images produced by automated fundus camera are often noisy making it difficult for doctors to precisely detect the abnormalities in fundus images. In the present paper, we propose to use vessel extraction of Retinal image enhancement and implemented in Raspberry Pi board using opencv library for faster execution and cost effective processing unit which helps during mass screening of diabetic retinopathy. The effectiveness of the proposed techniques is evaluated using different metrics and Micro-aneurysms. Finally, a considerable improvement in the enhancement of the Diabetic Retinopathy images is achieved.
Pathophysiological Mechanisms of Takotsubo Cardiomyopathy - a Systematic Review

Takotsubo cardiomyopathy, also referred to as stress-induced cardiomyopathy, is an acute condition associated with transient left ventricular dysfunction. Since it can be induced by increased emotional stress (such as losing a loved one, or constant anxiety) it is also called Broken Heart Syndrome. This type of cardiomyopathy is described in all age groups and both sexes, but it is most common in postmenopausal women. There are several clinical manifestations such as chest pain, sometimes with heart failure, and often with ST-segment changes that may present as acute coronary syndrome. It is characterized by absence of coronary artery obstruction, with transient regional wall motion abnormalities and minimal elevation of cardiac enzyme levels. Although wall motion abnormalities are reversible in almost all cases, long-term prognosis is excellent, but this condition is important because in acute phase it may cause sudden cardiac death. Mechanisms and cause of this disease remain still unclear. Some possible causes of this disorder include: 1) coronary artery vasospasm, 2) microcirculatory dysfunction, 3) transient obstruction of the left ventricular outflow tract, and 4) excessive release of catecholamines which seems to have most important role. The aim of this review is to summarize the most important pathophysiological mechanisms that may be responsible for the development of this type of cardiomyopathy.
Floquet Quantum Simulation with Superconducting Qubits

We propose a quantum algorithm for simulating spin models based on periodic modulation of transmon qubits. Using Floquet theory we derive an effective time-averaged Hamiltonian, which is of the general XYZ class, different from the isotropic XY Hamiltonian typically realised by the physical setup. As an example, we provide a simple recipe to construct a transverse Ising Hamiltonian in the Floquet basis. For a 1D system we demonstrate numerically the dynamical simulation of the transverse Ising Hamiltonian and quantum annealing to its ground state. We benchmark the Floquet approach with a digital simulation procedure, and demonstrate that it is advantageous for limited resources and finite anharmonicity of the transmons. The described protocol can serve as a simple yet reliable path towards configurable quantum simulators with currently existing superconducting chips.
Holistic Approach for Arabic Word Recognition

Optical Character Recognition (OCR) is one of the important branches. One segmenting words into character is one of the most challenging steps on OCR. As the results of advances in machine speeds and memory sizes as well as the availability of large training dataset, researchers currently study Holistic Approach “recognition of a word without segmentation”. This paper describes a method to recognize off-line handwritten Arabic names. The classification approach is based on Hidden Markov models. For each Arabic word many HMM models with different number of states have been trained. The experiments result are encouraging, it also show that best number of state for each word need careful selection and considerations.
Codes and Protocols for Distilling T, controlled-S, and Toffoli Gates

We present several different codes and protocols to distill T, controlled-S, and Toffoli (or CCZ) gates. One construction is based on codes that generalize the triorthogonal codes, allowing any of these gates to be induced at the logical level by transversal T. We present a randomized construction of generalized triorthogonal codes obtaining an asymptotic distillation efficiency γ→1. We also present a Reed-Muller based construction of these codes which obtains a worse γ but performs well at small sizes. Additionally, we present protocols based on checking the stabilizers of CCZ magic states at the logical level by transversal gates applied to codes; these protocols generalize the protocols of. Several examples, including a Reed-Muller code for T-to-Toffoli distillation, punctured Reed-Muller codes for T-gate distillation, and some of the check based protocols, require a lower ratio of input gates to output gates than other known protocols at the given order of error correction for the given code size. In particular, we find a 512 T-gate to 10 Toffoli gate code with distance 8 as well as triorthogonal codes with parameters [[887,137,5]],[[912,112,6]],[[937,87,7]] with very low prefactors in front of the leading order error terms in those codes.
aying more attention to attention : Towards more comprehensive cognitive ranslation using mouse models of Alzheimer ’ s disease

The cognitive phenotyping of mouse models of Alzheimer’s disease (AD) currently focuses on impairments in learning and memory. However, AD is not simply a memory disorder, but other cognitive domains, and in particular attention, can also be impaired even at very early stages of the disease. In this review we argue for the benefits of including other constructs, and in particular attention, in preclinical studies to identify drug targets and disease mechanisms of AD in mouse models. First we give a brief account of the evidence for attentional deficits in AD; we then summarise methods to assess equiv-
A Novel Multiple Session Payment System

A wireless smartphone can be designed to process a financial payment efficiently. A user can just swipe his/her credit/debit card over the counter and all the processing needed shall be done seamlessly. A smartphone is a popular device to carry around. It is a hassle to carry and keep track on so many physical debit/credit cards in a wallet. An electronic debit/credit card on a smartphone is a more convenient alternative. This research project will embark on an electronic debit/credit card on a smartphone and migrate to an IoT money. A novel session payment system using IoT money has been introduced to minimise debit/credit card risk. The scope of this paper is confined to the security model for an easy payment system based on Internet of Things (IoT). Previously, each IoT money is unique and used once only on one-time payment. The session payment system will ease the burden on protecting the database of the payment system. This paper will extend the use of one-time payment to a multiple session payment system using an IoT money note.
Towards oblivious sandboxing with Capsicum

Capsicum [Wat+10] is a framework for principled, coherent compartmentalization of FreeBSD applications. It is principled in that it draws from a rich history in computer security concepts such as capabilities, tokens that authorize their bearers to perform actions such as read from a file (using a file descriptor as a token almost like a capability) or call a method (using an object reference as a capability). Capsicum is coherent in that it applies clear, simple security policies uniformly across applications. It is not possible — as can be the case in other schemes — to restrict an application’s access to one set of operations while leaving equivalent operations available for use. When we describe Capsicum as providing principled, coherent compartmentalization, we mean that it allows applications to break themselves up into compartments that are isolated from each other and from other applications. Just as privacy-friendly companies put their users’ data encryption keys out of their own reach, Capsicum allows applications and their compartments to give up certain abilities in order to protect other compartments, other applications and — ultimately — their users. However, a significant limitation of Capsicum today is that it only works when applications voluntarily give up the right to perform certain actions (the details of which are explained in the next section). It works with applications that understand Capsicum and that have been modified to take advantage of it. Up to now, Capsicum has provided no mechanisms for confining applications without their co-operation. This is our long-term goal: to put applications into sandboxes without needing to modify the applications themselves, such that
Causation Inference and Information Flow in Dynamical Systems : Theory and Applications

Questions of causation are foundational across science and often relate further to problems of control, policy decisions, and forecasts. In nonlinear dynamics and complex systems science, causation inference and information flow are closely related concepts, whereby “information” or knowledge of certain states can be thought of as coupling influence onto the future states of other processes in a complex system. While causation inference and information flow are by now classical topics, incorporating methods from statistics and time series analysis, information theory, dynamical systems and statistical mechanics, to name a few, there remain important advancements in continuing to strengthen the theory, and pushing the context of applications, especially with the ever-increasing abundance of data collected across many fields and systems. This Focus Issue considers different aspects of these questions, both in terms of founding theory, as well as several topical applications.
Evaluation of Spray Drift from Backpack and UTV Spraying

The objective of these tests was to evaluate pesticide drift from ground applications using a standard manual pump backpack sprayer and a UTV-mounted boomless sprayer. Three deposition sampler types were deployed: Mylar cards, water-sensitive papers, and artificial foliage. This study indicates that drift of pesticide at 20 m downwind of backpack or UTV spraying was about 0.001 of the applied rate. This order of magnitude of drift was similar for both application methods. In the case of the backpack spraying, deposition decreased to about 0.01 of the applied rate just 1.5 m downwind of the swath edge. In the UTV trials, the closest off-swath measurement was 0.5 m downwind of the downwind swath edge, and deposition there ranged from about 0.5 of the applied rate down to less than 0.001. At 2.5 m downwind of the downwind swath edge, these values ranged from about 0.02 down to near 0.0001 of the applied rate. The study concludes that very small amounts of material were deposited at 20 m downwind, but drifted material was present. This conclusion is reached understanding that these trials were conservative by design, as there was almost no intervening vegetation between the release line and the collectors. The study also confirms the dependence of drift on wind speed in these applications.
Bandwidth Optimal Data/Service Delivery for Connected Vehicles via Edges

The paradigm of connected vehicles is fast gaining lot of attraction in the automotive industry. Recently, a lot of technological innovation has been pushed through to realize this paradigm using vehicle to cloud (V2C), infrastructure (V2I) and vehicle (V2V) communications. This has also opened the doors for efficient delivery of data/service to the vehicles via edge devices that are closer to the vehicles. In this work, we propose an optimization framework that can be used to deliver data/service to the connected vehicles such that a bandwidth cost objective is optimized. For the first time, we also integrate a vehicle flow model in the optimization framework to model the traffic flow in the coverage area of the edges. Using the optimization framework, we study the variation of the optimal bandwidth cost for varying problem sizes and vehicle flow model parameter values for both data and service delivery.