Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of the Degradation of Depletion-Mode GaN High-Electron-Mobility Transistors Under Reverse Pulse Electrical Stress Using the Voltage-Transient Method

The effects of reverse pulse electrical stress on the electrical and trapping properties of Depletion-Mode (D-Mode) GaN high-electron-mobility transistors (HEMTs) are investigated in this paper. The results of HEMT testing show that the device’s electrical characteristics in the OFF-state are degraded after reverse pulse electrical stress cycling, along with the gate-to-source reverse current and drain-to-source leakage current characteristics. In particular, three traps in the device are identified using the voltage-transient method, and the trapping effects in the HEMT are investigated after 70000 pulses of gate reverse electrical stress are applied. The sources of the traps identified in the study include interface traps near the surface of AlGaN or at the SiN interface (DP1), intrinsic defects such as N antisites in the GaN buffer (DP2), and traps in the gate-drain access region (DP3). Comparison with the transient voltage characteristics of the original device shows that the absolute amplitudes of the traps in the device increase after application of the electrical stress, thus indicating an increment in the trap density. It was found that DP1 remained unchanged before and after stress application, which may be the result of an inadequate surface passivation process. With regard to the other two traps, the electrical stress increases the trap density of DP2 and causes the emergence of DP3 as one new trap. These results may be useful in the design and application of AlGaN/GaN HEMTs. These results may be useful in the design and application of AlGaN/GaN HEMTs.
Distribution of the Riparian Salix Communities in and around Romanian Carpathians

Salix riparian communities are particularly diverse and of extraordinary ecological importance. This study will analyze the diversity of Salix riparian communities (S. alba, S. fragilis, S. purpurea and S. triandra), their distribution, ecological importance, and conservation. There were 444 records for S. alba, 417 for S. fragilis, 457 for S. purpurea, and 375 for S. triandra, both from the literature and herbaria. Thus, it can be seen that the distribution of the four Salix species studied is very widespread throughout the territory where this study was carried out. According to EIVE (Ecological Indicator Values of Europe) but also to the national list values for niche positions and niche widths, they were noted to be very close for all ecological indicators: M (soil moisture), L (light), and T (temperature), but not for the ecological indicator of soil nitrogen (N) availability or R (soil reaction). Obviously, those riparian Salix communities are important for the functions they indicate, primarily for climate change mitigation, but also for regulating water flow, improving water quality, and providing habitats for wildlife. Conservation and management of these important ecosystems are necessary to maintain their biodiversity, and ecological services and strategies that can be used to protect and manage these communities are outlined.
An improved, chattering free, VSC scheme for uncertain dynamical systems

A control strategy proposed by the authors in previous works to reduce the effect of chattering led to the solution of a differential inequality involving the first and second derivatives of the control signal and a parameter for a first-order observer. The analysis was carried out assuming this parameter to be constant. In the present paper, this assumption is removed, thus allowing the solution of the differential inequality to be a function of a piecewise continuous first derivative of the control signal, without need for assuming a priori knowledge of bounds to the plant trajectories.
Effectiveness of travel behavior and infrastructure change to mitigate heat exposure

Urban heat exposure is an increasing health risk among urban dwellers. Many cities are considering accommodating active mobility, especially walking and biking, to reduce greenhouse gas emissions. However, promoting active mobility without proper planning and transportation infrastructure to combat extreme heat exposure may cause more heat-related morbidity and mortality, particularly in future with projected climate change. This study estimated the effectiveness of active trip heat exposure mitigation under built environment and travel behavior change. Simulations of the Phoenix metro region's 624,987 active trips were conducted using the activity-based travel model (ABM), mean radiant temperature (TMRT, net human radiation exposure), transportation network, and local climate zones. Two scenarios were designed to reduce traveler exposure: one that focuses on built environment change (making neighborhoods cooler) and the other on travel behavior (switching from shorter travel time but higher exposure routes to longer travel time but cooler routes) change. Travelers experienced TMRT heat exposure ranging from 29°C to 76°C (84°F to 168°F) without environmental or behavioral change. Active trip TMRT exposures were reduced by an average of 1.2–3.7°C when the built environment was changed from a hotter to cooler design. Behavioral changes cooled up to 10 times more trips than changes in built environment changes. The marginal benefit of cooling decreased as the number of cooled corridors transformed increased. When the most traveled 10 km of corridors were cooled, the marginal benefit affected over 1,000 trips/km. However, cooling all corridors results in marginal benefits as low as 1 trip/km. The results reveal that heavily traveled corridors should be prioritized with limited resources, and the best cooling results come from environment and travel behavior change together. The results show how to surgically invest in travel behavior and built environment change to most effectively protect active travelers.
Modeling the Growth of Six Listeria monocytogenes Strains in Smoked Salmon Pâté

In this study, the growth of six L. monocytogenes strains isolated from different fish products was quantified and modeled in smoked salmon pâté at a temperature ranging from 2 to 20 °C. The experimental data obtained for each strain was fitted to the primary growth model of Baranyi and Roberts to estimate the following kinetic parameters: lag phase (λ), maximum specific growth rate (μmax), and maximum cell density (Nmax). Then, the effect of storage temperature on the obtained μmax values was modeled by the Ratkowsky secondary model. In general, the six L. monocytogenes strains showed rapid growth in salmon pâté at all storage temperatures, with a relatively short lag phase λ, even at 2 °C. The growth behavior among the tested strains was similar at the same storage temperature, although significant differences were found for the parameters λ and μmax. Besides, the growth variations among the strains did not follow a regular pattern. The estimated secondary model parameter Tmin ranged from −4.25 to −3.19 °C. This study provides accurate predictive models for the growth of L. monocytogenes in fish pâtés that can be used in shelf life and microbial risk assessment studies. In addition, the models generated in this work can be implemented in predictive modeling tools and repositories that can be reliably and easily used by the fish industry and end-users to establish measures aimed at controlling the growth of L. monocytogenes in fish-based pâtés.
An Adaptive Wavelet Shrinkage and its Application in Image De-Noising

In this paper an adaptive method of shrinkage of the wavelet coefficients is presented. In the method, the wavelet coefficients are divided into two classes by a threshold. One class of them with the smaller absolute values at a scale is transformed with a proportional relation，another class with the larger absolute values at the same scale is transformed with a linear function. The threshold and the coefficient in the proportional relation or in the linear function are determined by the principle of minimizing the Stein’s unbiased risk estimate. In the paper, the method of estimation of the threshold and the coefficient is given and the adaptive method of shrinkage of the wavelet coefficients is applied to image denoising. Examples in the paper show that the presented method has an advantage over SureShrink from the point of view of both the Stein’s unbiased risk estimate and the signal-to-noise ratio. In addition, the method takes almost the same computing time as the SureShrink in image denoising.
Dietary 1,3-β-Glucans Affect Growth, Breast Muscle Composition, Antioxidant Activity, Inflammatory Response, and Economic Efficiency in Broiler Chickens

Recently, researchers have been intensively looking for novel, safe antibiotic alternatives because of the prevalence of many clinical and subclinical diseases affecting bird flocks and the risks of using antibiotics in subtherapeutic doses as feed additives. The present study intended to evaluate the potential use of 1,3-β-glucans (GLC) as antibiotic alternative growth promotors and assessed the effect of their dietary inclusion on the growth performance, carcass traits, chemical composition of breast muscles, economic efficiency, blood biochemical parameters, liver histopathology, antioxidant activity, and the proinflammatory response of broiler chickens. This study used 200 three-day-old ROSS broiler chickens (50 chicks/group, 10 chicks/replicate, with an average body weight of 98.71 ± 0.17 g/chick). They were assigned to four experimental groups with four dietary levels of GLC, namely 0, 50, 100, and 150 mg kg−1, for a 35-day feeding period. Birds fed diets containing GLC showed an identical different growth rate to the control group. However, the total feed intake (TFI) increased quadratically in the GLC50 and GLC100 groups as compared to that in the control group. GLC addition had no significant effect on the weights of internal and immune organs, except for a decrease in bursal weight in the GLC150 group (p = 0.01). Dietary GLC addition increased the feed cost and total cost at 50 and 100 mg kg−1 doses. The percentages of n-3 and n-6 PUFA in the breast muscle of broiler chickens fed GLC-supplemented diets increased linearly in a dose-dependent manner (p < 0.01). The serum alanine aminotransferase (ALT) level and the uric acid level were quadratically increased in the GLC150 group. The serum levels of total antioxidant capacity, catalase, superoxide dismutase, interleukin-1β, and interferon-gamma linearly increased, while the MDA level decreased in the GLC-fed groups in a dose-dependent manner. Normal histological characterization of different liver structures in the different groups with moderate round cells was noted as a natural immune response around the hepatic portal area. The different experimental groups showed an average percentage of positive immunostaining to the proinflammatory marker transforming growth factor-beta with an increase in the dose of GLC addition. The results suggest that GLC up to 100 mg kg−1 concentration can be used as a feed additive in the diets of broiler chickens and shows no adverse effects on their growth, dressing percentage, and internal organs. GLC addition in diets improves the antioxidant activity and immune response in birds. GLC help enrich the breast muscle with n-3 and n-6 polyunsaturated fatty acids.
The Genetic Basis of Future Pharmacological Strategies for the Management of Comorbid Obesity and Depression: A Scoping Review

Depression and obesity are highly comorbid with one another, with evidence of bidirectional causal links between each disorder and a shared biological basis. Genetic factors play a major role in influencing both the occurrence of comorbid depression and obesity, their courses, and their response to existing treatments. The current paper is a scoping review of studies that have evaluated the contribution of specific genetic variants to the comorbidity between obesity and depression. Based on a search of the PubMed and EMBASE databases, 28 studies were included in this review, covering 54 candidate genes. Positive associations were identified for 14 genetic loci (AKR1C2, APOA5, COMT, DAT1, FTO, KCNE1, MAOA, MC4R, MCHR2, NPY2R, NR3C1, Ob, PCSK9, and TAL1). Replicated findings across two or more independent samples were observed for the FTO and MC4R genes. Many of these gene products represent novel molecular targets for the pharmacological management of obesity that interact with each other and are not pharmacologically influenced by existing anti-obesity or antidepressant medications. The implications of these associations for future drug development are discussed, with an emphasis on recent evidence on the polygenic architecture of comorbid depression and obesity and on a precision-medicine approach to these conditions.
The log‐bimodal‐skew‐normal model. A geochemical application

The main objective of this paper is to study a logarithm extension of the bimodal skew normal model introduced by Elal‐Olivero et al. 1 . The model can then be seen as an alternative to the log‐normal model typically used for fitting positive data. We study some basic properties such as the distribution function and moments, and discuss maximum likelihood for parameter estimation. We report results of an application to a real data set related to nickel concentration in soil samples. Model fitting comparison with several alternative models indicates that the model proposed presents the best fit and so it can be quite useful in real applications for chemical data on substance concentration. Copyright © 2011 John Wiley & Sons, Ltd.
Does the Paleo diet affect an athlete’s health and sport performance?

The aim of the study was to assess the impact of an eight-week Paleo diet on the health status (body composition, haematology and biochemistry of blood and urine) and the level of physical capacity (aerobic and anaerobic) of professional handball players. Fifteen athletes were assigned to two groups: 9 in the experimental group (PD) and 6 in the control group (CD). Significant decreases in body mass (BM), body mass index (BMI), and fat mass (FM) as well as an increase in the fat-free mass (FFM) (%) in both groups were observed. There were no significant differences between groups in particular series during the experiment in all haematological and biochemical indicators of blood and urine. Only HDL-C was significantly higher in the last series in the PD compared to the CD (1.63 mmol/l vs. 1.23 mmol/l). In the Wingate test, there were only single intragroup changes, consisting of a significant decrease in the Wt, MAP and Pmean in the experimental group. There were no significant differences between the groups in individual series or intragroup differences during the experiment, determined by the VO2max, VEmax, VE ∙ VCO2 −1, RER, and the time of the test with a gradually increasing load on a treadmill, except for a significant decrease of maximum tidal volume (TVmax) in the PD. No adverse effect of the Paleo diet on the health status was found. The use of the Paleo diet slightly adversely affects anaerobic capacity and does not affect the level of aerobic capacity.
Low-temperature layer splitting of (100) GaAs by He+H coimplantation and direct wafer bonding

The present letter introduces a low-temperature GaAs layer splitting approach by He+H coimplantation which—in combination with direct wafer bonding—enables monolithic integration of GaAs with different substrates. The influence of He+H coimplantation on blistering and layer splitting of GaAs is studied and the optimum coimplantation conditions are determined. Thin GaAs layers are transferred onto Si after bonding of He+H coimplanted GaAs and Si substrates via a spin-on glass intermediate layer and subsequent annealing at only 225 °C for 14 h. Cross-sectional transmission electron microscopy investigations show a high quality of the GaAs/SOG bonding interface.
Impact of forest fire on radial growth of tree rings and their element concentrations of Pinus sylvestris and Larix gmelinii in northern China

Aims Through analyzing the responses of the radial growth and element concentrations (B, Mg, Al, K, Ca, Mn, Fe, Zn, Na, P, Ni, and Cu) of tree rings of two dominant tree species to forest fires, we aimed to investigate the relationship between tree rings and the fires. Methods We sampled wood cores of Pinus sylvestris and Larix gmelinii in the northern forest region of China, where forest fires happened in 1990 and 2008. The ring-width growth of P. sylvestris and L. gmelinii from 1986 to 1995 and 2004 to 2013 in two sites of Tahe County were measured. Element concentrations in tree rings were determined using inductively coupled plasma mass spectrometry (ICP-MS). Results Our results showed that tree-ring radial growth was largely reduced after the fire, together with the increase in concentrations of B, Al, Mn, and Fe but the decrease in some samples in K. Strong correlations were observed between tree-ring growth and concentrations of Mg and Mn of P. sylvestris and Znof L. gmelinii. Discussion The results provide evidence that variations in tree-ring growth and element concentrations, particularly concentrations of B, Al, Mn, and Fe, are potentially useful to monitor forest fires, which add new insights into the study of forest fire history.
Editorial: The role of biomechanics in anterior cruciate ligament injuries prevention

COPYRIGHT © 2023 Saxby, Catelli, Lloyd and Sawacha. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
The impact of multi‐group multi‐layer network structure on the performance of distributed consensus building strategies

We consider a structural approach to the consensus building problem in multi‐group multi‐layer (MGML) distributed sensor networks (DSNs) common in many natural and engineering applications. From among the possible network structures, we focus on bipartite graph structure as it represents a typical MGML structure and has a wide applicability in the real world. We establish exact conditions for consensus and derive a precise relationship between the consensus value and the degree distribution of nodes in a bipartite MGML DSN. We also demonstrate that for subclasses of connectivity patterns, convergence time and simple characteristics of network topology can be captured by explicit algebra. Direct inference of the convergence behavior of consensus strategies from MGML DSN structure is the main contribution of this paper. The insights gained from our analysis facilitate the design and development of large‐scale DSNs that meet specific performance criteria. Copyright © 2012 John Wiley & Sons, Ltd.
Decision Graph Search

A decision graph is an AND/OR graph with a certain evaluation function. Decision graphs have been found a very useful representation for a variety of decision making problems. This article present a number of search algorithms computing an optimal solution from a given decision graph. These algorithms include one {\it depth-first heuristic-search algorithm}, one {\it best-first heuristic-search algorithm}, one {\it anytime-algorithm} and two {\it iterative-deepening depth-first heuristic-search algorithms}. Similar to the *-minimax search algorithms of Ballard, our depth-first heuristic-search algorithm is developed from the alpha--beta algorithm for minimax tree search. In addition, we show how heuristic knowledge can be used to improve search efficiency. Furthermore, we present an anytime algorithm which is conveniently obtained from the depth-first heuristic-search algorithm without incurring much overhead. The best-first heuristic-search algorithm is obtained by modifying the well known AO* algorithm for AND/OR graphs with additive costs. The iterative-deepening algorithms result from combining the iterative-deepening techniques with the depth-first search techniques. Some experimental data on some of these algorithms performance are given.
Patient and Family Perpetrated Cyber-Incivility and Cyber-Aggression Within Healthcare: A Cross-Sectional Descriptive Study

Introduction Verbal violence may manifest in written form as cyber incivility within patient portal communications. As a form of digital technology, patient portal messages create a physical and emotional distance leading the sender to be disinhibited and disassociated from the recipient nurse. Written patient portal messages may contain uncivil language deemed verbally violent when the content escalates beyond professional standards. When these messages are encountered as part of patient care, they may lead to nurses’ psychological distress. Although cyber-incivility has been studied within social media and business, little is known about cyber-incivility within healthcare. Objectives The purpose of the study was to define cyber-incivility as it manifests within healthcare compared to business, determine sender demographics, and quantify the impact on nurses. Methods A cross-sectional descriptive study was conducted to analyze portal communications. Nurses forwarded aggressive messages to leadership and quantified their level of distress after receiving the message. Sender demographics were tracked, and content was analyzed using Braun and Clarke's Thematic Analysis. Results Of the 31 included messages, senders were of varying ages, genders, and marital statuses. Messages rarely related to medications and rarely contained expletives. The most distressing messages were ad hominem, demanding, accusatory, or contained threats. These messages illustrated how healthcare cyber-incivility manifested and deviated from appropriate professional standards to become a form of verbal workplace violence. Message content also identified antecedents; related to unmet expectations, patient accountability, or difficulty navigating healthcare. Conclusions Written incivil/uncivil/aggressive patient portal messages contained personal attacks and professionally degrading content, which were distressing to nurses. A healthcare-specific framework was created and provided context to understand the difficult and aggressive messages nurses received while providing digital patient care. Awareness of cyber-incivility within healthcare allows for better support of nurses who are exposed to this form of workplace violence and is foundational to future intervention development.
Air traffic modernization and control: ADS-B system implementation update 2022: A review

Automatic Dependent Surveillance-Broadcast (ADS-B) is a multiparameter surveillance system designed to improve key segments of air traffic: enabling real-time surveillance, raising safety and efficiency levels, and improving flight information and weather services. ADS-B consists of two subsystems, ADS-B Out and ADS-B In. Although only a complete system, ADS-B In/Out provides numerous benefits (additional situational awareness, more efficient oceanic routing, etc.) FAA and EASA only require ADS-B Out (by January and June 2020, respectively), whereby ADS-B In remains optional. Because of its many advantages, ADS-B In/Out will be popular, but there are some weaknesses, which are primarily related to its cyber vulnerabilities due to insufficient authentication and encryption in the applied protocol. In this paper, an overview of the ADS-B system is presented as an aid to understanding the security problems and the different ways of potential attack. In addition, this review deals with the current state of ADS-B deployment and its future perspective and challenges.