Miracle-dz/UniFAR-FTUs huggingface dataset:
Mental health after paediatric concussion: a systematic review and meta-analysis

Objective This systematic review and meta-analysis sought to rigorously examine mental health outcomes following paediatric concussion. To date, heterogeneous findings and methodologies have limited clinicians’ and researchers’ ability to meaningfully synthesise existing literature. In this context, there is a need to clarify mental health outcomes in a homogeneous sample, controlling for key methodological differences and applying a consistent definition of concussion across studies. Design Systematic review and meta-analysis. Data sources We searched Medline, Embase, PsycINFO, CINAHL, SportDiscus, Scopus and PubMed. Eligibility Peer-reviewed studies published between 1980 and June 2020 that prospectively examined mental health outcomes after paediatric concussion, defined as per the Berlin Consensus Statement on Concussion in Sport. Results Sixty-nine articles characterising 60 unique samples met inclusion criteria, representing 89 114 children with concussion. Forty articles (33 studies) contributed to a random effects meta-analysis of internalising (withdrawal, anxiety, depression, post-traumatic stress), externalising (conduct problems, aggression, attention, hyperactivity) and total mental health difficulties across three time points post-injury (acute, persisting and chronic). Overall, children with concussion (n=6819) experienced significantly higher levels of internalising (g=0.41–0.46), externalising (g=0.25–0.46) and overall mental health difficulties compared with controls (g=0.18–0.49; n=56 271), with effects decreasing over time. Summary/conclusions Our review highlights that mental health is central to concussion recovery. Assessment, prevention and intervention of mental health status should be integrated into standard follow-up procedures. Further research is needed to clarify the mechanisms underlying observed relationships between mental health, post-concussion symptoms and other psychosocial factors. Results suggest that concussion may both precipitate and exacerbate mental health difficulties, thus impacting delayed recovery and psychosocial outcomes.
Deep learning for load balancing of SDN‐based data center networks

With the development of new communication technologies, the amount of data transmission has increased gradually. To satisfy this increasing computing resource demand effectively, the number of data center networks (DCNs), which are structures composed of servers connected with well‐organized‐switches, has increased worldwide. However, traditional switches do not efficiently satisfy the needs of DCNs. In recent years, an emerging networking architecture software‐defined network (SDN) has been proposed to manage the DCNs to control network switches and to deploy new network protocols. However, the main challenge in DCNs is to balance the load among servers. One potential solution for this challenge is to use machine learning (ML) techniques to tackle network transmission demand. A recent successful ML technique is deep learning (DL) which makes prediction, classification, and decisions by handling large amounts of data. Although DL has drawn increasing attention in many research fields, its applications to networking problems are scarce. In this paper, a DL technique is proposed for the load‐balancing of SDN‐based DCNs. To train the DL network, the variable load values among links are used. The response time for load balancing of the DL technique is compared with those of different ML algorithms, such as an artificial neural network (ANN), support vector machine (SVM), and logistic regression (LR). The experimental results reveal that the response‐time results of ANN and DL are lower than those of the SVM and LR algorithms. Also, DL accuracy is higher than ANN accuracy. As a result, DL is very efficient for the load balancing of SDN‐based DCNs.
Multiband triple folding monopole antenna for wireless applications in the laptop computers

This manuscript presents a multiband triple‐folding inverted‐F antenna (TFIFA) design with a very small overall dimension of 21 × 8 × 0.2 mm3 for Long Term Evolution (LTE), Wireless‐Fidelity (Wi‐Fi) and sub‐6GHz 5th Generation (5G) applications for laptop computers. The proposed TFIFA design is ultra‐thin, compact, economical and easy to install inside the laptop computers. The simulated study of routing a coaxial cable on the system ground is also carried out in order to achieve desirable reflection coefficient, gain, efficiency and radiation patterns. As the measured impedance bandwidths of proposed TFIFA are 15.95% (2.25–2.64) GHz, 11.04% (3.25–3.63) GHz and 24.71% (5.00–6.41) GHz, it can therefore, functions in LTE‐38/40/46, Wi‐Fi 2.4/5 and sub‐6GHz 5G bands. The measured gain and radiation efficiency are better than 3.64 dBi and 77%, respectively, in all functioning bands. Practical experimentation is carried out by installing the proposed TFIFA into a ThinkPad Lenovo‐14 laptop for the validation of reflection coefficient S11(dB). The simulated, measured and practical outcomes are in good conformity, which validates the suitability of the proposed TFIFA for LTE 38/40/46, Wi‐Fi 2.4/5 and sub‐6GHz 5G applications in the laptop computers.
Joint time‐slot and power allocation algorithm for data and energy integrated networks supporting internet of things (IoT)

IoT is an essential enabler for smart cities and smart society. However, its deployment at large scale faces a big challenge: battery replacement as most IoT devices are battery‐powered or even battery‐less. In a hostile environment, it is infeasible to replace batteries. Radio frequency (RF)‐enable wireless energy transfer (WET) is a promising technology to solve this problem. Since RF is also used for wireless data communication, a data and energy integrated network (DEIN) is the way forward. Based on the DEIN technology, a time allocation model is designed in this paper to manage the RF energy and uplink data transmission in different time slots. In the IoT scenario, the DEIN's primary service is to collect environmental information such as temperature, humidity, and luminance. Therefore, the uplink data transmission of the battery‐powered/battery‐less IoT nodes deserves more attention. To increase the uplink data transmission in case of consuming less energy in the DEIN system, we propose a joint time slot and power allocation algorithm to minimize the system's consumed energy for transmitting per bit of uplink data. It aims to maximize the efficiency of the DEIN system's energy utilization, which helps to achieve an energy‐efficient DEIN.
THE WET STANDARD PHOTOMETER

The Whole Earth Telescope (WET) is a global network of collaborating astronomers designed to obtain very long lightcurves, uninterrupted by daylight, of variable white dwarf stars for asteroseismological analysis. Uniformity of instrumentation is a vital requirement for the success of the network. We report here on the instrument adopted as the standard WET photometer. In particular, we describe a recent addition to the design which allows older two-channel instruments to be converted to three-channel instruments, allowing continuous measurement of the sky background. This new component is a bolt-on upgrade to the existing two-channel photometers used by the WET and many others around the world. We will make the complete design (including acquisition and reduction software) available to interested parties upon request.
Sustainable Poly(Ionic Liquids) for CO2 Capture Based on Deep Eutectic Monomers

The design of high performance solid sorbent materials for CO2 capture is a technology which has been employed to mitigate global warming. However, the covalent incorporation of functionalities into polymeric supports usually involves multistep energy-intensive chemical processes. This fact makes the net CO2 balance of the materials negative even though they possess good properties as CO2 sorbents. Here we show a new family of polymers which are based on amines, amidoximes, and natural carboxylic acids and can be obtained using sustainable low energy processes. Thus, deep eutectic monomers based on natural carboxylic acids, amidoximes, and amines have been prepared by just mixing with cholinium type methacrylic ammonium monomer. The formation of deep eutectic monomers was confirmed by differential scanning calorimetry measurements. In all cases, the monomers displayed glass transition temperatures well below room temperature. Computational studies revealed that the formation of eutectic complexes lengthen.
DIAGNOSIS AND TREATMENT OF A PERITONEOPERICARDIAL HERNIA IN AN ADULT DOG: A CASE REPORT

Peritoneopericardial diaphragmatic hernia is a common congenital pericardial anomaly in dogs and cats, characterized by a communication between the abdomen and the pericardial sac. Animals may be asymptomatic or show nonspecific clinical signs related to the gastrointestinal and cardiorespiratory systems. In this report, we present a case of a 3-yearold female Schnauzer, weighing 7,7 kg, with a history of easy fatigue and cyanosis triggered by stress. The diagnosis of peritoneopericardial diaphragmatic hernia was confirmed through echocardiography and simple and contrast radiography findings that showed the presence of hepatic lobes in the pericardial sac. The animal underwent supraumbilical celiotomy to correct the hernia and subsequently presented immediate improvement of clinical signs.
Manual control versus management-by-consent in managing multiple threats

As the use of Uninhabited Aerial Systems (UAS) increases, e.g., for commercial delivery, for surveillance or for hostile action, there are challenges of monitoring and appropriately responding to a crowded airspace. Providing automated support could reduce the challenges. However, such support might also have an impact on the strategy that a human operator deploys. In this paper we present a simulation of Air Defence (in the form of a single-player, interactive game) which is used to study human performance under three conditions. Provision of decision support, i.e., through management by consent, produced better performance, even though it provided a limited situation awareness. A hybrid display produces performance that is superior to the manual control condition and similar to the management by consent condition. We note that provision of the air picture alone resulted in a different form of suboptimal performance, in which sensitivity was significantly lower. In this respect, providing the decision support (in the form of the polygon display) helps to limit tendency for false alarms.
A bubble of protection: examining dispositional optimism as a psychological buffer of the deleteriou

Demands and stressors from work increasingly encroach upon people’s family lives in modern settings, resulting in poorer familial relationships and impaired psychological health. The current study proposed and examined dispositional optimism as a potential psychological buffer of the deleterious impact of negative work-to-family spillover (WFS) on psychological health. Based on a sample of employed midlife adults in the United States (N = 1,252) drawn from a large and nationally representative dataset, MIDUS 3, we found that dispositional optimism significantly moderated the relationship between negative WFS and subjective well-being, even after controlling for a variety of potential confounds. However, this moderation effect was not consistently observed for the relationship between negative WFS and depressive symptoms, suggesting that the buffering utility of dispositional optimism may be limited to day-to-day subjective well-being and may not extend to the domain of mental health issues. Nonetheless, our findings indicate the potential importance of considering psychological resources in our efforts to mitigate strains on psychological health arising from negative WFS – to which future studies are encouraged to explore further. ARTICLE HISTORY Received 30 April 2019 Accepted 16 February 2021
STATISTICAL EVALUATION OF LATEROLOG RESISTIVITY MEASUREMENTS ATTILA

A statistical inversion method was developed to determine the model parameters describing the borehole environment from laterolog measurements. Five types of laterolog tools were applied to estimate the optimal values of the model parameters, their dispersion, the correlation coefficients and the data error. For three-parameter inversion the model parameters were the resistivity of the far zone (Rt), the resistivity of the invaded, flushed zone (Rx0) and the relative diameter of the invasion (D), while for two-parameter inversion Rx0 was fixed and considered to be equal to the apparent resistivity from microlaterolog measurement. Based on the inversion of synthetic data it was established that (1) estimated data error approximates well to the additive error, (2) the higher the additive error, the larger the dispersion of the model parameters, (3) dispersions of the model parameters from two-parameters inversion are lower than from three. Two-parameter inversion was applied to calculate Rt and D in a borehole drilled for hydrocarbon (HC) exploration. Lower estimated dispersion of D and Rt was found in the HC-saturated bed, where the contrast of the resistivity of the far zone and the invaded zone is more pronounced.
Gambler Bandits and the Regret of Being Ruined

In this paper we consider a particular class of problems called multiarmed gambler bandits (MAGB) which constitutes a modified version of the Bernoulli MAB problem where two new elements must be taken into account: the budget and the risk of ruin. The agent has an initial budget that evolves in time following the received rewards, which can be either +1 after a success or −1 after a failure. The problem can also be seen as a MAB version of the classic gambler’s ruin game. The contribution of this paper is a preliminary analysis on the probability of being ruined given the current budget and observations, and the proposition of an alternative regret formulation, combining the classic regret notion with the expected loss due to the probability of being ruined. Finally, standard state-of-the-art methods are experimentally compared using the proposed metric.
Battery Thermal Management System

The increasingly environment pollution and energy shortage problem has led to look for clean energy and energy saving technologies to be used in the transportation field. Electric Vehicles are one of such technology that can reduce the pollution significantly. The project is designed to overcome the problems that current electric vehicles face due to inefficient battery thermal management system (BTMS). The performance of lithium batteries used in electric vehicles predominantly depends upon the operating temperature. When this temperature exceeds the safety level then thermal runaway occurs in batteries and performance drops. The challenges involve in this task includes a design that is effective in heat transfer, light in weight and compact. The Lithium-ion battery have a narrow operating temperature range of between 15 and 50°C.The functional safety, service life, and cycle stability of the battery cell and the entire electric car depend to a large extent on the battery cell remaining in this range. The project develops a thermal management system using mini channel aluminum plates with silicone pads. The high conductivity of aluminum plates is exploited to effectively drain heat from the battery. The thermal contact area is increased using silicone pads. Ethylene glycol water solution flowing through the mini channels extracts the heat from the aluminum plates. Several battery thermal management methods have been introduced to avoid overheating thermal runaway which includes air cooling, liquid cooling, phase change materials and heat pipe cooling. Heat generation rate of battery is an important parameter that is considered in design of any BTMS. Researchers have shown that the heat generation rate of the tested battery increases with the discharge rate and decreases with the operating temperature. Experiments have proved that pressure drop of coolant decreases with increase of the cross-section and number of the coolant channels making the cooling system efficient. C O N T E N T S  List of Figuresi i  List of Tables ii  Abbreviations and symbols iii Chapter No. Topic
In Search Of Right Global Leadership Competences

This research explores competences that are essential for global leaders, i.e. expertise, skills, abilities and personalities. The aim is to discover a general set of competences that are very common in both literature and practice but exceedingly vital to be efficient global leaders. Another objective is to identify the most successful methods of development for the competences identified. The theoretical aspect of this research provides an outline of the literature on the topic and directions to an outstanding framework of competences relevant to global leaders from different researchers' perspectives. The most successful approaches for improving these competences are also identified. The experimental section, which is the standard study of the research, is based on a review of the literature. The research findings are compared with the findings of the literature review to create a set of competences for global leaders by semi-structured interviews with global business leaders. The key findings of this research indicate that personality traits are the most important attribute among global leaders and they are deep into the core of an individual. The most important competences for global leaders are therefore also those that are most difficult to change. Increased lifechanging development experience is required to affect such competences.
EFFECT OF RAW AND FERMENTED WHEAT GERM ON OXIDATIVE AND IMMUNE STRESS INDUCED BY CARBON TETRACHLORIDE (CCL4) HEPATIC TOXICITY IN RATS By

The present study was performed to evaluate the effect of wheat germ and fermented wheat germ on some Immunoglobulin’s productions , lipids profile and liver functions in cirrhotic rats by carbon tetrachloride (Ccl4) . Rats were divided into eight groups , control groups (1&2) negative and positive were fed on basal diet without supplementation. All treated cirrhotic groups (3-8 ) were fed on experimental diets with raw or fermented wheat germ by different levels ( 5, 10 &15%) . Results clearly revealed that fermented wheat germ recorded the highest values content in Vitamin (A), (E) and (C), compared with raw wheat germ . The best treatment were fermented wheat germ (15%) and raw wheat germ (15% ) which had lowest values of total lipid , triglycerides , total cholesterol LDL , VLDL , AST , ALT and had the highest values of HDL , respectively. While , all groups fed on fermented wheat germ by different levels (5, 10,15%) had the highest values of serum level of interferon gamma (INF-y) and interleukin -10 (IL-10) respectively . It could be concluded that wheat germ and fermented wheat germ improve some Immunoglobulin’s production , lipids profile and liver functions especially fermented wheat germ 10 and 15% which has the best significant protective effect against acute hepatotoxicity induced by carbon tetrachloride (Ccl4) in rats. Key Word: fermented wheat germ – cirrhosis – CCl4 – liver oxidative stress immune
An Appraisal of Traceability Systems for Food Supply Chains in Colombia

Traceability systems have improved significantly in the last few years in relation to safeguarding food safety and quality. Although traceability is considered to be an effective tool in supporting quality control, the adoption of different traceability systems along the supply chain can bring the drawback of information asymmetry, which affects inventory management. This paper explores adoption alternatives that may facilitate the blend of traceability technologies in the food industry of developing countries. The analysis is based on a simulation model that represents the behaviour of inventory and food quality in the case of the mango supply chain in Colombia. The results show the asymmetries between traceability systems along the supply chain as well as their effects on inventory and food quality.
Ayurveda Psychotherapy in Stress due to COVID-19: A Single Case Study

The pandemic Covid-19 has been affecting nations across the globe and has reported to create psychological distress in people mainly due to the strategies to mitigate the disease spread. In this case study perceived stress in a male patient aged 29 with stress response aroused due to COVID-19 restrictions in life situation is assessed. The stress symptoms were graded with perceived stress scale and a value of 17 was noted indicating moderate level of stress. There was no contributory physical ailment. Ayurvedic psychotherapy structured based on the Ashta vibrama mentioned in the Unmada context of Caraka samhita was provided. In this method the changes were advised on patient’s Bakti (Passion) Sheela (Habits) Ceshta (Psychomotor activity) and Acara (Cultural norms/practices) which regulates one’s overt behaviour. The sessions were of half an hour duration provided for seven days after which stress level was reduced to 8 showing low stress level. This score was maintained after two weeks follow up session. The low stress level was maintained even after one month follow up. The Ayurveda psychotherapy measure structured on Ashta vibrama thus can be a developed into a measure to bring in changes in overt behaviour of individuals.
Improving Sample-based Reinforcement Learning through Complex Non-parametric Distributions

Sampling-based approaches in Reinforcement Learning (RL) typically involve learning or maintaining distributions. While many elegant algorithms were proposed in literature, most methods involve prior assumptions of the underlying distributions (eg. being Natural Exponential Family), or the number of modality for either simplicity or tractability reasons. A method to effectively apply complex or non-parametric distributions, for example, distributions approximated using neural network, is still lacking. One example is the limitation of using of reparameterized Gaussian policy, rather than any arbitrary non-parametric policy in Soft Actor-Critic (SAC) amenable to the necessary entropy estimation. The thesis would be focusing on proposing and evaluating methods to enable better approximation of complex distributions, and methods to estimate measurements of non-parametric distributions. The motivation is to allow better connections and applications of many deep learning and information theory techniques to the sampling-based approaches in RL, by alleviating limitations and difficulties of complex non-parametric distributions.
Optical properties of ZnO/MgF2 bilayer thin films prepared by PVD technique

Zinc Oxide (ZnO) is considered as one of the best materials already used as a window layer in solar cells due to its antireflective capability. The ZnO/MgF2 bilayer thin film is more efficient as antireflective coating. In this work, ZnO and ZnO/MgF2 thin films were deposited on glass substrate using pulsed laser deposition and thermal evaporation deposition methods. The optical measurements indicated that ZnO thin layer has an energy gap of (3.02 eV) while ZnO/MgF2 bilayer gives rise to an increase in the energy gap. ZnO/MgF2 bilayer shows a high energy gap (3.77 eV) with low reflectance (1.1-10 %) and refractive index (1.9) leading to high transmittance, this bilayer could be a good candidate optical material to improve the performance of solar cell window.
Odd Harmonious Labeling of Some Classes of Graphs

A graph G ( p, q ) is said to be odd harmonious if there exists an injection f : V ( G ) → { 0 , 1 , 2 , · · · , 2 q − 1 } such that the induced function f ∗ : E ( G ) → { 1 , 3 , · · · , 2 q − 1 } deﬁned by f ∗ ( uv ) = f ( u ) + f ( v ) is a bijection. In this paper we prove that T p - tree, T ˆ ◦ P m , T ˆ ◦ 2 P m , regular bamboo tree, C n ˆ ◦ P m , C n ˆ ◦ 2 P m and subdivided grid graphs are odd harmonious.