Miracle-dz/UniFAR-FTUs huggingface dataset:
Active Filtering of Supply Voltage with Series-Connected Voltage Source Converter

Abstract In this paper, a static series compensator for voltage sag mitigation is completed with a voltage active filtering function for further power quality improvement. The control system developed here performs isolation of voltage harmonics in several rotating coordinate systems. thus being able to cancel (or reduce) only selected harmonics, if desired. Moreover, it compensates for the effect of the convener output filter, which is frequency-dependent. Simulated results confirm the capability of the device to cancel symmetrical and unsymmetrical harmonics. Moreover, it is shown by using actual voltage sag recordings that the addition of the active filtering feature does not affect the speed of response during transients.
Body Gesture and Head Movement Analyses in Dyadic Parent-Child Interaction as Indicators of Relationship

Parent-child nonverbal communication plays a crucial role in understanding their relationships and assessing their interaction styles. However, prior works have seldom studied the exchange of these nonverbal cues between the dyad and focused on isolated cues from one person at a time. In contrast, this work analyzes both parents' and children's individual and dyadic nonverbal behaviors in relation to their four relationship characteristics, i.e., child temperament, parenting style, parenting stress, and home literacy environment. We utilize a state-of-the-art feature selection framework on a dataset of 31 parent-child interactions to automatically extract and select a set of temporal nonverbal behaviors as key indicators of the dyad's relationship characteristics. The results show that relationship characteristics were associated with both individuals' and dyads' nonverbal behaviors. This finding highlights the importance of accounting for both individual- and dyad-scale nonverbal behaviors when predicting dyadic relationship characteristics as well as the potential limitations of utilizing single persons' nonverbal data in isolation. It therefore motivates future work on this topic to take a holistic and relational approach. The dataset and extracted nonverbal data are made public to aid the development of automated detection tools for parent-child relationship characteristics that trains on visual recordings of their dyadic interactions.
Learning vector quantization neural network–based model reference adaptive control method for intelligent lower-limb prosthesis

This article focuses on the design of a control system for intelligent prostheses. Learning vector quantization neural network–based model reference adaptive control method is employed to implement real-time trajectory tracking and damp torque control of intelligent lower-limb prosthesis. The method is then analyzed and proposed. A model reference control system is first built with two learning vector quantization neural networks. One neural network is used for output prediction, and the other is used for input control. The angle information of the prosthetic knee joint is utilized to train these two neural networks with the given learning algorithm. The testing results of different movement patterns verify the effectiveness of the proposed method and its suitability for intelligent lower-limb prostheses.
Role of Dorsomedial Hypothalamus GABAergic Neurons in Sleep–Wake States in Response to Changes in Ambient Temperature in Mice

Good sleep quality is essential for maintaining the body’s attention during wakefulness, which is easily affected by external factors such as an ambient temperature. However, the mechanism by which an ambient temperature influences sleep–wake behaviors remains unclear. The dorsomedial hypothalamus (DMH) has been reported to be involved in thermoregulation. It also receives projection from the preoptic area, which is an important region for sleep and energy homeostasis and the suprachiasmatic nucleus—a main control area of the clock rhythm. Therefore, we hypothesized that the DMH plays an important role in the regulation of sleep related to ambient temperatures. In this study, we found that cold exposure (24/20/16/12 °C) increased wakefulness and decreased non–rapid eye movement (NREM) sleep, while warm exposure (32/36/40/44 °C) increased NREM sleep and decreased wakefulness compared to 28 °C conditions in wild-type mice. Then, using non-specific and specific apoptosis, we found that lesions of whole DMH neurons and DMH γ–aminobutyric acid (GABA)-ergic neurons induced by caspase-3 virus aggravated the fluctuation of core body temperature after warm exposure and attenuated the change in sleep–wake behaviors during cold and warm exposure. However, chemogenetic activation or inhibition of DMH GABAergic neurons did not affect the sleep–wake cycle. Collectively, our findings reveal an essential role of DMH GABAergic neurons in the regulation of sleep–wake behaviors elicited by a change in ambient temperature.
IMPACT OF LITTER TURNOVER ON CARBON CYCLING IN FORESTS WITH DRAINED AND NATURALLY WET NUTRIENT-RICH ORGANIC SOILS IN LATVIA

Litter production is a key parameter for estimation of forest soil carbon (C) stock. The aim of the study was to evaluate carbon stock in above and below-ground litter in forests with drained and naturally wet nutrient-rich organic soils in Latvia to improve National GHG inventory and to integrate data into AGM and EPIM models. To estimate C input with tree above-ground litter, sampling of litter was done in 46 research sites in Latvia. A modelling approach based on a literature review was used to estimate C input with tree below-ground litter and litter of ground vegetation. Our study highlights a connection between C input to soil with litter and stand characteristics – stand basal area, stand age and dominant tree species. There is a trend for C input from above- and below- ground litter to increase along with increasing stand basal area. In conifer stands the C input with ground vegetation increased with stand basal area, whereas for broadleaves the trend is reverse. There is still uncertainty regarding C input with below-ground litter and ground vegetation. In order to improve the modeling approach additional data and country-specific models are required.
Circular Economy Mainstream: an Analysis of Master Thesis and Dissertations

The specialized scientific production resulting from master's and doctoral research works and reports, indicates existing targets and advances in specialized research in circular economics. This study aims to develop a systematic literature review that highlights the thematic axes and areas of interest in the field of circular economics that are addressed in highly specialized studies, the result of master's and doctoral studies. 11 predominant areas of interest of researchers in theses and dissertations are identified, denominated as categories, and other 5 smaller areas, denominated study subcategories. A framework is proposed that organizes the various identified themes and provides a holistic understanding of the insertion of the circular economy in the master's and doctoral programs. The study contributes to the theory by mapping, describing and organizing in a logical way the thematic paths and axes that the theses and dissertations take when describing and addressing different associated research problems. From a practical point of view, this study can assist decision makers and policy makers in raising awareness and knowledge about possible fields of action regarding its implementation.
Statistics in Health... Is There a Connection Between School and Workplace Statistics?

Research to determine the use of statistics in health carried out by health professionals in their workplace was carried out, concerning statistical techniques, research methods by a survey in 2019. This article reports three main findings. So far, (i) describes the needs and the opinions of the health professionals, (ii) goes to the training programs and identifies if the needs are covered by the training programs, and (iii) implements corrective measures to overcome the need not covered by the training programs. The research identified gaps between subjects and methods taught at university and the ones used in the workplace by health professionals. In the health professionals’ opinion there is inadequate statistics education for alumni during their studies. Based in their opinion, researchers identified some changes to courses programs which should be implemented.
Cellulose through the Lens of Microfluidics: A Review

Cellulose, a linear polysaccharide, is the most common and renewable biopolymer in nature. Because this natural polymer cannot be melted (heated) or dissolved (in typical organic solvents), making complicated structures from it necessitates specialized material processing design. In this review, we looked at the literature to see how cellulose in various shapes and forms has been utilized in conjunction with microfluidic chips, whether as a component of the chips, being processed by a chip, or providing characterization via chips. We utilized more than approximately 250 sources to compile this publication, and we sought to portray cellulose manufacturing utilizing a microfluidic system. The findings reveal that a variety of products, including elongated fibres, microcapsules, core–shell structures and particles, and 3D or 2D structured microfluidics-based devices, may be easily built utilizing the coupled topics of microfluidics and cellulose. This review is intended to provide a concise, visual, yet comprehensive depiction of current research on the topic of cellulose product design and understanding using microfluidics, including, but not limited to, paper-based microfluidics design and implications, and the emulsification/shape formation of cellulose inside the chips.
Leg Fidgeting Improves Executive Function following Prolonged Sitting with a Typical Western Meal: A Randomized, Controlled Cross-Over Trial

Prolonged uninterrupted sitting and a typical Western meal, high in fat and refined sugar, can additively impair cognitive and cerebrovascular functions. However, it is unknown whether interrupting these behaviours, with a simple desk-based activity, can attenuate the impairment. The aim of this study was to determine whether regular leg fidgeting can off-set the detrimental effects of prolonged sitting following the consumption of a typical Western meal, on executive and cerebrovascular function. Using a randomized cross-over design, 13 healthy males consumed a Western meal and completed 180-min of prolonged sitting with leg fidgeting of 1 min on/4 min off (intervention [INT]) and without (control [CON]). Cognitive function was assessed pre and post sitting using the Trail Maker Test (TMT) parts A and B. Common carotid artery (CCA) blood flow, as an index of brain flow, was measured pre and post, and cerebral (FP1) perfusion was measured continuously. For TMT B the CON trial significantly increased (worsened) completion time (mean difference [MD] = 5.2 s, d = 0.38), the number of errors (MD = 3.33, d = 0.68) and cognitive fatigue (MD = 0.73, d = 0.92). Compared to CON, the INT trial significantly improved completion time (MD = 2.3 s, d = 0.97), and prevented declines in cognitive fatigue and a reduction in the number of errors. No significant changes in cerebral perfusion or CCA blood flow were found. Leg fidgeting for 1-min on/4-min off following a meal high in fats and refined sugars attenuated the impairment in executive function. This attenuation in executive function may not be caused by alterations in CCA blood flow or cerebral perfusion.
Power corrected bridgeless converter based switched mode power supply factor

In this study, a new switched mode power supply (SMPS) for personal computers (PCs) with improved power quality and enhanced output voltage regulation is designed, modelled and implemented in the hardware. The normally used diode converter at the front end of any SMPS is eliminated in the present configuration by making use of two non-isolated power factor corrected (PFC) converters at the front end in a back to back manner. This is followed by an isolated dc–dc converter which yields multiple dc voltages required in the PCs. The front end converter is designed in discontinuous conduction mode with a single control loop to achieve both voltage control and PFC. A fair comparison between the conventional SMPS and the proposed SMPS is made to demonstrate the effectiveness of the proposed configuration which is verified by simulation results and corroborated with experimental results.
Isothermal Desorption Hysteretic Model for Deep Coalbed Methane Development

The adsorption/desorption mechanism of coalbed methane is significant for gas control and coalbed methane exploitation; scholars have done a lot of research on it and generally have confidence in that temperature, pressure, and moisture are central factors affecting the adsorption of coalbed methane. Considering the reduction of recovery efficiency caused by desorption hysteresis in deep coalbed methane drainage, the effects of high reservoir pressure, high gas content, and low permeability on the hysteresis index were analyzed. A desorption hysteresis model based on the combination of dual-porosity media and traditional Langmuir adsorption theory was proposed. By comparing with the four experimental data of Ma et al., the advantages of the new model in fitting desorption data were investigated. Based on the new desorption hysteresis model, the hysteresis index was calculated from the adsorption capacity and desorption capacity under the abandonment pressure. The hysteresis index under different coal sizes and adsorption pressure were calculated, and a good linear relationship was found between the adsorption pressure and the hysteresis index. Through a large number of field production data analysis, the following conclusions are drawn: as the adsorption pressure increases, the hysteresis index enhances; when the coal sample size increases, the hysteresis index also increases. Finally, by comparing experimental data from deep and shallow coal samples, the influence of desorption hysteresis on deep coalbed methane mining was explored. This paper draws the conclusion that although the gas content in deep coalbed methane is considerable, its hysteresis index is also enhanced, which makes coalbed methane development more difficult. The findings of this study can provide theoretical support for coal bed gas control and coal bed methane heat injection mining.
Perovskite Nanocomposite Layers Engineering for Efficient and Stable Solar Cells

Recently, perovskite nanocomposites have attracted much ‎attention as active layers due to the relatively high stable efficiency of solar cells based on them. In this ‎paper, we study perovskite nanocomposite layers based on ‎semiconductive/nonconductive molecules or polymers, their deposition methods, properties, and ‎influence on the device performance. We have found that the quality of the ‎perovskite layer (morphology and crystallinity, cross-linked grains, trap states density, as well as ‎conductivity and charge carrier mobility) is strongly affected by various factors ‎related to the additive: such as type (i. e. semiconductive or nonconductive, ‎molecule or polymer), chemical structure (backbone length and ‎molecular weight, functional groups, π system, side chains, donating atoms and basicity), amount,‎ solubility, conductivity, photoactivity, polarity, hydrophobicity, and addition methods. Due to the small amounts added, these additives can lead to slight changes in energy levels, bandgap (Eg), and light absorption ‎properties. Ultimately, using the suitable deposition method and additive at an optimal amount can ‎greatly improve the stability and efficiency of the devices and reduce ‎hysteresis.
Emergency Department Diagnosis of Multiple Mycotic Aneurysms in an HIV-Positive Patient Using Point-of-Care Ultrasound

We report the case of a transgender woman with HIV (CD4 349), shortness of breath, and chest pain, who was found to have multiple mycotic aortic aneurysms by point-of-care ultrasound (PoCUS). This report highlights the utility of point-of-care ultrasonography in the diagnosis and management of this rare clinical entity.Multiple mycotic aortic aneurysms and purulent pericarditis are uncommon. They have high morbidity and mortality and are associated with immunocompromised states (e.g., HIV). Diagnosis of the mycotic aneurysm, and its precursor, infectious aortitis, can be challenging, and delays in care can lead to poor outcomes. Often, as described in this case report, making the diagnosis requires a high clinical suspicion, multiple imaging modalities, and laboratory studies.
Differences of the Plasma Total Lipid Fraction from Pre-Foaling to Post-Foaling Period in Donkeys

Simple Summary An association between increased metabolic demands and reduced dry matter intake is observed from late gestation to early lactation in donkeys. Furthermore, little is known about the nutritional and energy requirements of this period in animals. Changes in energy metabolism make donkeys more susceptible to metabolic diseases such as hyperlipemia, which is characterized by the mobilization of fatty acids from adipose tissue. A better knowledge of this period could improve animal husbandry, well-being, and health. The aim of this study was to analyze the plasma total lipid fraction, to highlight metabolic changes from the pre-foaling to post-foaling periods, using the gas chromatography technique. Our findings reveal a greater risk of metabolic disease in late gestation to early lactation in donkeys. Abstract The period from late gestation to early lactation is characterized by changes in energy metabolism. The aim of the current study was to analyze the plasma total lipid fraction using gas chromatography (GC) analysis, in order to highlight metabolic changes from the pre-foaling to post-foaling periods. Eleven pluriparous dairy jennies (mean age of 11.88 ± 3.79 years) belonging to the Amiata donkey breed were enrolled. Blood sampling was performed at 15 days before foaling (T0), and 15 (T1), 30 (T2), 60 (T3), and 90 (T4) days after foaling, for biochemical and GC analysis. A total of 37 fatty acids were identified in plasma samples: 4 medium chain (MCFA), 24 long chain (LCFA), and 9 very-long chain (VLCFA) fatty acids. Among them, 20 fatty acids changed significantly, and two fatty acid showed a trend toward significance. Furthermore, the LCFA, saturated, unsaturated, monounsaturated, and polyunsaturated ω-3 fatty acids changed significantly during the study period. The main alterations were between T0 and the other time points and appeared to be related to lipid metabolism, cellular structure and function, and inflammatory and immune responses. Our findings reveal greater energy requirements at the end of gestation compared to early lactation in donkeys.
ELECTRONIC GOVERNMENT AS A GUIDED EVOLUTION IN SINGAPORE: VISION FOR THE WORLD IN THE 21ST CENTURY.

Most of the e-Government initiatives around the world have often been sporadic and unsystematic. "Technological thrust" rather than a "citizen orientation" has been the driving force for most of these initiatives. Singapore is one of the few nations where the e-Government was recognized as a strategy for growth very early. Continuous planning and monitoring of the nation's e-Government initiative has yielded rich dividends and today, Singapore is one of the most advanced countries in the world in terms of e-Government. Tracing the e-Government evolution in Singapore, through its three phases, reveals the inadequacy of the 'sequential evolutionary models' in explaining the e-Government evolutionary process. The e-Government initiatives in Singapore were taken as an opportunity to reengineer the government processes, procedures and systems so as to provide enhanced value to the citizens. Singapore's effective resource management strategy is the key to its e-Government success. Unlike many other nations, Sin.
Ensuring Safety of Model-based Generated Code for Pervasive Health Monitoring Systems

Wireless technologies for health monitoring systems have seen considerable interest in recent years owing to it’s potential to achieve vision of pervasive healthcare, that is healthcare to anyone, anywhere and anytime. Development of wearable wireless medical devices which have the capability to sense, compute, and send physiological information to a mobile gateway, forming a Body Sensor Network (BSN) is considered as a step towards achieving the vision of pervasive health monitoring systems (PHMS). PHMS consisting of wearable body sensors encourages unsupervised long-term monitoring, reducing frequent visit to hospital and nursing cost. Therefore, it is of utmost importance that operation of PHMS must be reliable, safe and have longer lifetime. A model-based automatic code generation provides a state-of-art code generation of sensor and smart phone code from high-level specification of a PHMS. Code generator intakes meta-model of PHMS specification, uses codebase containing code templates and algorithms, and generates platform specific code. Health-Dev, a framework for model-based development of PHMS, uses code generation to implement PHMS in sensor and smart phone. As a part of this thesis, model-based automatic code generation was evaluated and experimentally validated. The generated code was found to be safe in terms of ensuring no race condition, array, or pointer related errors in the generated code and more optimized as compared to hand-written BSN benchmark code in terms of lesser unreachable code.
Predictors of pro-environmental behavior: Moderating role of knowledge sharing and mediatory role of perceived environmental responsibility

The climate crisis is accelerating at an unprecedented rate which can be overcome by depicting pro-environmental behaviors in personal, household, and industrial consumption areas. Grounded on the social ideal theory, the current study aims to examine the direct as well as the indirect impact of Environmental Knowledge (EK) and Environmental Concern (EC) on citizens’ Pro-Environmental Behavior (PEB) while studying Perceived Environmental Responsibility (PER) as a mediator. Moreover, the moderating role of Knowledge Sharing (KS) has also been investigated between EK and PEB. Surveying 581 citizens of twin cities, i.e. Rawalpindi and Islamabad, Pakistan, at two different times. Results depicted that citizens’ EK and EC positively and significantly impact their PEB directly as well as through an underlying mechanism of PER. Moreover, the interactive effect of KS with EK has been found to enhance citizens’ PEB. Overall, this research brings multiple theoretical and policy implications with future research directions.
Block-Sparse Signal Recovery via General Total Variation Regularized Sparse Bayesian Learning

One of the main challenges in block-sparse signal recovery, as encountered in, e.g., multi-antenna mmWave channel models, is block-patterned estimation without knowledge of block sizes and boundaries. We propose a novel Sparse Bayesian Learning (SBL) method for block-sparse signal recovery under unknown block patterns. Contrary to conventional approaches that impose block-promoting regularization on the signal components, we apply two classes of hyperparameter regularizers for the SBL cost function, inspired by total variation (TV) denoising. The first class relies on a conventional TV difference unit and allows performing the SBL inference iteratively through a set of convex optimization problems, enabling a flexible choice of numerical solvers. The second class incorporates a region-aware TV penalty to penalize the signal and zero blocks in a dissimilar manner, enhancing the performance. We derive an alternating optimization algorithm based on expectation-maximization to perform the SBL inference through computationally efficient parallel updates for both the regularizer classes. The numerical results show that the proposed TV-regularized SBL algorithm is robust to the nature of the block structure and is capable of recovering signals with both block-patterned and isolated components, proving effective for various signal recovery systems.