Miracle-dz/UniFAR-FTUs huggingface dataset:
An Updated View of the Importance of Vesicular Trafficking and Transport and Their Role in Immune-Mediated Diseases: Potential Therapeutic Interventions

Cellular trafficking is the set of processes of distributing different macromolecules by the cell. This process is highly regulated in cells, involving a system of organelles (endomembranous system), among which are a great variety of vesicles that can be secreted from the cell, giving rise to different types of extracellular vesicles (EVs) that can be captured by other cells to modulate their function. The cells of the immune system are especially sensitive to this cellular traffic, producing and releasing different classes of EVs, especially in disease states. There is growing interest in this field due to the therapeutic and translational possibilities it offers. Different ways of taking advantage of the understanding of cell trafficking and EVs are being investigated, and their use as biomarkers or therapeutic targets is being investigated. The objective of this review is to collect the latest results and knowledge in this area with a specific focus on immune-mediated diseases. Although some promising results have been obtained, further knowledge is still needed, at both the basic and translational levels, to understand and modulate cellular traffic and EVs for better clinical management of these patients.
Advancement of superconductor digital electronics

: Advancement of superconductor digital electronics, espe-cially Rapid Single Flux Quantum (RSFQ) logic circuit is described. Ultra short pulse of a voltage generated across a Josephson junction and release from charging/discharging process for signal transmission in RSFQ circuits enable us to reduce power consumption and gate delay. The power-delay products (PDPs) of RSFQ integrated circuits (ICs) are 4 or 5 orders of magnitude smaller than those of semiconductor ICs. The fabrication process technology and the related design-ing technology have been advanced, and RSFQ ICs have been applied to software-deﬁned radio receivers, superconductor detector array systems, and supercomputers. Recently, several kinds of energy-eﬃcient single ﬂux quantum circuit have been proposed to obtain further advantage to semiconductor devices. The PDPs of these circuits become at least 1 order smaller than those of conventional RSFQ circuits.
Anxiolytic effect of Anthemis nobilis L. (roman chamomile) and Citrus reticulata Blanco (tangerine) essential oils using the light-dark test in zebrafish (Danio rerio).

ETHNOPHARMACOLOGICAL RELEVANCE The anxiety disorders are the most prevalent mental health condition, and anxiety is considered the sixth cause of disability surpassing diabetes mellitus, chronic obstructive pulmonary disease, and osteoarthritis. Besides, the COVID-19 pandemic provided an increase in the number of psychiatric diseases diagnosis in all social layers around the world. About 55%-94% of patients diagnosed with anxiety disorders are treated with benzodiazepines, meanwhile benzodiazepines can promote several adverse effects. In this way, alternative therapies, such as essential oils may offer significant benefits in the treatment of patients with anxiety disorders. However, the anxiolytic effect of these essential oils must be proper evaluated appropriate as well as the suitable dosage and side effect need further research. AIM OF THE STUDY The aim was to evaluate the anxiolytic effect of Roman chamomile (Anthemis nobilis L.) and tangerine (Citrus reticulata Blanco) essential oils using the light-dark test in adult zebrafish (Danio rerio). MATERIAL AND METHODS Both essential oils were analyzed by GC-MS and the major compounds were identified. The anxiolytic effect was evaluated by light-dark test in adult zebrafish. RESULTS The results showed that roman chamomile essential oil has anxiolytic effect in adult zebrafish, whereas tangerine essential oil tends to reduce anxiety The major compounds of tangerine essential oil were limonene and γ-terpinene, and the major compounds of roman chamomile were pentadecyl-3-methyl-2-butenoate, hexadecyl-3-methyl-2-butenoate, 1-piperidinol and trans-1-ethyl-3-methyl-cyclopentane. CONCLUSIONS The present study demonstrated that this anxiolytic effect may be attributed to the synergistic effect of the compounds present in roman chamomile essential oil, particularly the major compounds. The roman chamomile essential oil at the highest concentration showed anxiolytic effect. The tangerine essential oil showed a tendency to reduce anxiety, but it was not statistically significative. In addition, roman chamomile and tangerine essential oils did not cause cause alteration in locomotion activity and exploratory ability of the fish.
Cafiskld: A Combinatorial-Based Fuzzy Inference System for Keylogger Detection

A keylogger is a type of spyware that records keystrokes from the user’s keyboard to steal confidential information. The problems with most keylogger methods are the lack of simulated keylogger patterns, the failure to maintain a database of current keylogger attack signatures, and the selection of an appropriate threshold value for keylogger detection. In this study, a combinatorial-based fuzzy inference system for keylogger detection (CaFISKLD) was developed. CaFISKLD adopted back-to-back combinatorial algorithms to identify anomaly-based systems (ABS) and signature-based systems (SBS). The first combinatorial algorithm used a keylogger signature database to match incoming applications for keylogger detection. In contrast, the second combinatorial algorithm used a normal database to detect keyloggers that were not detected by the first combinatorial algorithm. As simulated patterns, randomly generated ASCII codes were utilized for training and testing the newly designed CaFISKLD. The results showed that the developed CaFISKLD improved the F1 score and accuracy of keylogger detection by 95.5% and 96.543%, respectively. The results also showed a decrease in the false alarm rate based on a threshold value of 12. The novelty of the developed CaFISKLD is based on using a two-level combinatorial algorithm for keylogger detection, using fuzzy logic for keylogger classification, and providing color codes for keylogger detection.
The Association of Oxidative and Antioxidant Potential with Cardiometabolic Risk Profile in the Group of 60- to 65-Year-Old Seniors from Central Poland

Pathogenesis of cardiovascular diseases is caused by, inter alia, oxidative stress. On the other hand, cardiovascular risk factors may cause redox imbalance. The pathological pathways between those components are to be determined. In the group comprised of 300 sex-matched subjects, we evaluated a number of cardiovascular risk factors: blood pressure, body mass, lipids, glucose, homocysteine, uric acid, von Willebrand factor (vWF), VCAM-1 and ICAM-1. The presence of cardiovascular diseases and drugs for their treatment were examined. Secondly, we assessed total antioxidative status (TAS), total oxidative status (TOS) and other markers of oxidative stress. TAS was inversely related to LDL cholesterol. TOS was positively associated with BMI and female sex, but negatively associated with the use of angiotensin II receptor antagonists. Plasma lipid peroxides concentration was positively related to ICAM-1 and presence of stroke, whereas platelet lipid peroxides were positively associated with vWF. Platelets proteins thiol groups were in a positive relationship with vWF, but in a negative relationship with uric acid and diagnosed lipid disorders. Both free thiol and amino groups were positively associated with plasma glucose. Platelets free amino groups were related to platelets count. Superoxide generation by blood platelets (both with and without homocysteine) was positively connected to glucose level. Among women, oxidative markers appear to be more related to glucose level, whereas among men they are related to body mass indices. TAS, TOS and oxidative markers are largely related to modifiable cardiovascular risk factors such as body mass, and intake of drugs such as angiotensin II receptor blockers. Plasma and platelet oxidation markers appear to be especially associated with glucose concentration. The presented analyses unanimously indicate strong connections between cardiovascular risk factors and redox potential and specify how cardiometabolic interventions may counter-balance oxidative stress.
The Contagious Diffusion of Worldwide Terrorism: Is It Less Common Than We Might Think?

ABSTRACT Studies of the contagious spread of insurgency and conflict across national boundaries has generated a good deal of empirical research over time. While the contagious spread of terrorism has also been a policy concern, few empirical studies exist on the extent to which terrorism spreads contagiously. This article uses methods developed by criminologists to study the spread of crime to examine the worldwide diffusion of terrorism from 1970 to 2013. We distinguish between contagious increases (based on shared borders) and non-contagious increases (where no borders are shared). We define the “domino effect” as a particular type of contagious diffusion where high levels of terrorism spread to an adjoining country but also remain high in the host country. Our analysis shows that both contagious and non-contagious diffusion has been rare over the past 43 years, non-contagious diffusion is more common than contagious, and when contagious diffusion occurs, it is very likely to occur according to the domino effect.
Design of variability compensation architectures of digital circuits with adaptive body bias

The most critical concern in circuit is to achieve high level of performance with very tight power constraint. As the high performance circuits moved beyond 45nm technology one of the major issues is the parameter variation i.e. deviation in process, temperature and voltage (PVT) values from nominal specifications. A key process parameter subject to variation is the transistor threshold voltage (Vth) which impacts two important parameters: frequency and leakage power. Although the degradation can be compensated by the worstcase scenario based over-design approach, it induces remarkable power and performance overhead which is undesirable in tightly constrained designs. Dynamic voltage scaling (DVS) is a more power efficient approach, however its coarse granularity implies difficulty in handling fine grained variations. These factors have contributed to the growing interest in power aware robust circuit design. We propose a variability compensation architecture with adaptive body bias, for low power applications using 28nm FDSOI technology. The basic approach is based on a dynamic prediction and prevention of possible circuit timing errors. In our proposal we are using a Canary logic technique that enables the typical-case design. The body bias generation is based on a DLL type method which uses an external reference generator and voltage controlled delay line (VCDL) to generate the forward body bias (FBB) control signals. The adaptive technique is used for dynamic detection and correction of path failures in digital designs due to PVT variations. Instead of tuning the supply voltage, the key idea of the design approach is to tune the body bias voltage bymonitoring the error rate during operation. The FBB increases operating speed with an overhead in leakage power.
Effective of an Intervention Program on Nurses Practices Concerning Infection Control Measures in Pediatric Surgical Wards

Background: Infection control has become a major concern in the health-care system, and health-care personnel, especially nurses, are particularly vulnerable to infection. The goal of this study is to see how effective an intervention program is in changing nurses' practices in pediatric surgery wards when it comes to infection management. Methods: This study used a quasi-experimental design for the pre- and post-test. The sample consisted of 40 persons. The intervention group included twenty nurses from the primary pediatric teaching hospital, while the control group included twenty nurses from the pediatric care teaching hospital. The questionnaire's dependability was proven through empirical study, and it was then submitted to specialists for validation. The total number of items in the questionnaire was 49. Self-reports were used to collect data, which was then evaluated using descriptive and inferential statistical data analysis. Results: According to the findings, 70% of nurses had insufficient practices before implementing the intervention program, while 60% of nurses had adequate practices after implementing the program. In the pre-test period of assessment, there is no statistically significant difference between the intervention and control groups (p>0.05). At the post-test measurement period, there is a statistically significant difference between the intervention and control groups (p0.05). Conclusions: In order to improve nurses' infection control practices, an interventional training program is essential. The findings of this study revealed that after receiving training, nurses' infection control practices improved. This study found that the training program is highly successful, and that all nurses should receive infection control training to gain the information and skills necessary to prevent infection in a hospital context. Health-care executives should recognize the importance of establishing rules to improve nurse working conditions and offer the required training to guarantee infection-control strategies are implemented. Keywords: Intervention Program, Practices, Nurses.
Reflection Properties of Dual-Mode Filters Consisting of a Circular Array of Microring Resonators

ABSTRACT A circular array consisting of an odd number of microring resonators is a dual-mode reflection filter. Based on the photonic energy band of a coupled microring resonator string and the resonant condition of the circular array, reflection characteristics of the circular array filter are discussed in detail. The parameters that influence the reflection characteristics and their effect mechanisms are demonstrated. The critical coupling phenomenon and its condition are revealed. We also show that the existence of loss in the rings can suppress split peaks and subsequently flatten the reflection spectrum to the whole pass band. Our work illuminates the application potential of a circular array of an odd number of microring resonators as an integrated photonics reflection filter.
Analysis of Genotyping-by-Sequencing data in a maize (Zea mays L.) breeding program

ANALYSIS OF GENOTYPING-BY-SEQUENCING DATA IN A MAIZE (ZEA MAYS L.) BREEDING PROGRAM Alison R. Cooke Advisors: University of Guelph, 2016 Dr. Andy Robinson, Dr. Elizabeth A. Lee As genotyping-by-sequencing data becomes more abundant, new applications of this technology in breeding programs are possible. This research utilized publically available data in conjunction with data from the University of Guelph maize breeding program. Using a genetic similarity matrix, a network diagram and dendrogram were generated, reflecting the maize heterotic patterns. Hierarchical clustering was used to identify putative parents of University of Guelph lines from a publically available dataset. For lines derived from inter-heterotic breeding crosses, parental linkage blocks were identified and visualized across the chromosomes. The marker data was also used in conjunction with grain yield data for association mapping using a mixed model approach. This method identified 123 quantitative trait loci for additive effects for grain yield in Stiff Stalk lines, accounting for approximately 9.38% of the phenotypic variance. Breeders can increase the utility of their marker data in their breeding program by applying the methods described here.
eHealth and Web-Based Interventions for Informal Carers of People With Dementia in the Community: Umbrella Review

Background The prevalence of dementia is increasing, and there are many associated problems that family members face as informal carers, including emotional, physical, and financial difficulties. There are benefits for a person with dementia to live at home for as long as possible, and therefore, supporting their informal carers is crucial. The growing interest in supporting carers through internet-based interventions is evidenced by the volume of systematic reviews on this topic. It is now appropriate to systematically examine this body of work and provide an overview of the literature. Objective This umbrella review aimed to identify the most effective internet-based intervention content and delivery method to support those caring for someone with dementia living in the community. Methods PsycINFO, Web of Science, CINAHL, MEDLINE, Cochrane Library, and PubMed were searched for systematic reviews examining the effectiveness of web-based interventions for informal carers of people with dementia. A total of 3 reviewers extracted data and evaluated the quality of the papers. To ascertain the extent to which the systematic reviews reported on the same evidence, the proportion of overlap between their included studies was calculated. Qualitative research findings were extracted and reported. Results A total of 21 papers were included in the study. The quality of the review papers was mainly rated as low to moderate, and 10% (2/21) of papers were of high quality. The findings suggest that multicomponent interventions were the most effective in supporting carers. These included combinations of cognitive behavioral therapy and relaxation strategies, educational resources, and online support groups. Interventions that were delivered on the web but included sessions with a personal element, such as telephone contact, showed the best results. When comparing the studies reviewed in all the review papers, a moderate overlap was noted. However, when comparing individual reviews with each other, they showed a high overlap of the included studies. Conclusions Mixed delivery methods and intervention content showed the most effective results in supporting those caring for people with dementia. However, many papers do not separate the results for differing intervention contents or delivery; this needs to be considered when drawing conclusions. There was an overlap among the studies included in the reviews. This suggests a lack of current research on the effectiveness of web-based interventions for people caring for a person with dementia. There was also a lack of consistency in the outcome measures across all papers. Future studies can involve updating research on the effectiveness of these interventions while distinguishing between different intervention types, thus creating guidelines for the use of standardized measures to enable comparisons of intervention effects and improve the scientific quality of the overall research. Trial Registration PROSPERO CRD42021241559; https://www.crd. york.ac. uk/prospero/display_record. php? RecordID=241559
Optimization of the Solder Joints of an Electronic Card Using Heuristic Algorithm

In this paper, a new hybrid method of optimization by the heuristics algorithms to evaluate the reliability of the electronic card by simulating its thermo-mechanical behavior is presented. A model of simulation by finite element is developed to consider the maximal deformations due to temperature; a mechanico- computing coupling is used to find the optimal structure. Embedded electronic systems are playing a very important role in several areas, such as in automotive, aerospace, telecommunications and medical sectors. To properly perform their functions, electronic systems must be reliable [18]. This powerful and robust algorithm which is based on hybridization of Differential Evolutionary algorithm with Particle Swarm Optimization (PSO) gives performance results [7].
A novel control to actively damp resonance in input LC filter of a three-phase voltage source converter

The voltage source converter (VSC) provides constant/controllable DC bus voltage, regenerating capability, controllable power factor, and nearly sinusoidal input current. If an input LC filter is added, it prevents pollution of the utility by the current ripple due to the pulsewidth modulation (PWM) switching. A novel control strategy for actively damping high-frequency resonance (above 1.5 kHz) in the input LC filter is presented. No additional sensors are required for the standard VSC. Theoretical results of the analysis and simulation are experimentally verified.
Quercetin attenuates inflammation in LPS‐induced lung epithelial cells via the Nrf2 signaling pathway

Abstract Background Pneumonia is the leading cause of death among children under five, and kill almost two million children each year. Quercetin, a flavonoid polyphenolic compound, exerts many beneficial biological activities, including anti‐inflammatory functions. Our study aimed to investigate the possibility of quercetin as a therapeutic agent for pneumonia and its role in the inflammatory response induced by lipopolysaccharide (LPS). Methods LPS induced human alveolar epithelial cell A549 as a lung inflammation model in vitro. The effects of quercetin on the production of cytokines and the expression of related‐proteins were detected by Enzyme‐Linked ImmunoSorbent Assay and Western Blot, respectively. Cell Counting Kit‐8 assay was used to detect cell viability. flow cytometry was used to measure cell apoptosis. NO levels were also analyzed through NO kit. Results Our results found that quercetin attenuated the release of IL‐1β, IL‐6, PGE2, and nitrite in LPS‐induced A549 cells. In addition, quercetin inhibits cell apoptosis and relieves ROS generation in LPS‐induced A549 cells. Quercetin also inhibits LPS‐induced NF‐κB activation. They have upregulated the expression of nuclear factor erythroid 2 (Nrf2) and HO‐1. Conclusion In conclusion, these results suggested that quercetin attenuates LPS‐induced inflammation in A549 by activating the Nrf2 signaling pathway.
Dynamic regulation of inter-organelle communication by ubiquitylation controls skeletal muscle development and disease onset

Ubiquitin-proteasome system (UPS) dysfunction is associated with the pathology of a wide range of human diseases including myopathies and muscular atrophy. However, the mechanistic understanding of specific components on the regulation of protein turnover during development and disease progression in skeletal muscle is unclear. Mutations in KLHL40, an E3 ubiquitin ligase cullin3 (CUL3) substrate-specific adapter protein result in a severe form of congenital nemaline myopathy, but the events that initiate the pathology and the mechanism through which it becomes pervasive, remains poorly understood. To characterize the KLHL40-regulated ubiquitin modified proteome during skeletal muscle development and disease onset, we used global, quantitative mass spectrometry-based ubiquitylome and global proteome analyses of klhl40 mutant zebrafish during disease progression. Global proteomics during skeletal muscle development revealed extensive remodeling of functional modules linked with sarcomere formation, energy and biosynthetic metabolic processes and vesicle trafficking. Combined analysis of klh40 mutant muscle proteome and ubiquitylome identified thin filament proteins, metabolic enzymes and ER-Golgi vesicle trafficking pathway proteins regulated by ubiquitylation during muscle development. Our studies identified a role for KLHL40 as a negative regulator of ER-Golgi anterograde trafficking through ubiquitin-mediated protein degradation of secretion associated Ras related GTPase1a (Sar1a). In KLHL40 deficient muscle, defects in ER exit site vesicle formation alter Golgi compartment and downstream transport of extracellular cargo proteins, resulting in structural and functional abnormalities. Our work reveals that the muscle proteome is dynamically fine-tuned by ubiquitylation to regulate skeletal muscle development and uncovers new disease mechanisms for therapeutic development in patients. Graphical Abstract