Miracle-dz/UniFAR-FTUs huggingface dataset:
Soy Protein Isolate/Sodium Alginate Microparticles under Different pH Conditions: Formation Mechanism and Physicochemical Properties

The effects of sodium alginate (SA) and pH value on the formation, structural properties, microscopic morphology, and physicochemical properties of soybean protein isolate (SPI)/SA microparticles were investigated. The results of ζ-potential and free sulfhydryl (SH) content showed electrostatic interactions between SPI and SA, which promoted the conversion of free SH into disulfide bonds within the protein. The surface hydrophobicity, fluorescence spectra, and Fourier transform infrared spectroscopy data suggested that the secondary structure and microenvironment of the internal hydrophobic groups of the protein in the SPI/SA microparticles were changed. Compared with SPI microparticles, the surface of SPI/SA microparticles was smoother, the degree of collapse was reduced, and the thermal stability was improved. In addition, under the condition of pH 9.0, the average particle size of SPI/SA microparticles was only 15.92 ± 0.66 μm, and the distribution was uniform. Rheological tests indicated that SA significantly increased the apparent viscosity of SPI/SA microparticles at pH 9.0. The maximum protein solubility (67.32%), foaming ability (91.53 ± 1.12%), and emulsion activity (200.29 ± 3.38 m2/g) of SPI/SA microparticles occurred at pH 9.0. The application of SPI/SA microparticles as ingredients in high-protein foods is expected to be of great significance in the food industry.
Genetic Polymorphisms in a Familial Hypercholesterolemia Population from North-Eastern Europe

(1) Background: Familial hypercholesterolemia (FH) is one of the most prevalent inherited metabolic disorders. The purpose of the study was to investigate the role in cardiovascular disease (CVD) of PAI-1, ACE, ApoB-100, MTHFR A1298C, and C677T. (2) Methods: From a group of 1499 patients, we included 52 patients diagnosed with FH phenotype and 17 patients in a control group. (3) Results: Most of the FH patients had multiple comorbidities compared to the control group, such as atherosclerosis (48.1% vs. 17.6%), atherosclerotic cardiovascular disease (ASCVD 32.7% vs. 11.8%), and metabolic syndrome (MetS, 40.4% vs. 11.8%). In total, 66.7% of the FH patients had PAI-1 4G/5G genotype and MetS. Between 4G/5G and 4G/4G, a statistically significant difference was observed (p = 0.013). FH patients with ApoB R3500Q polymorphism were correlated with ASCVD (p = 0.031). Both MTHFR C677T and A1298C polymorphisms had a significant correlation with gender, alcohol consumption, and smoking status. ACE polymorphism was associated with ATS in FH patients, statistically significant differences being observed between heterozygous and homozygous D genotype (p = 0.036) as well as between heterozygous and homozygous I genotype (p = 0.021). (4) Conclusions: A link between these polymorphisms was demonstrated in the FH group for ATS, ASCVD, and MetS.
Dynamic Freewheeling Control for SIDO Buck Converter With Fast Transient Performance, Minimized Cross-Regulation, and High Efficiency

Slow load transient performance, potential cross-regulation, and low efficiency are the major drawbacks for pseudocontinuous conduction mode single-inductor dual-output (SIDO) dc–dc converters. To overcome these drawbacks, this article proposes a voltage-ripple (VR)-based dynamic freewheeling (DF) control technique for hybrid conduction mode (HCM) SIDO buck converter. With the employment of VR controller, the proposed control technique improves the load transient performance significantly. As the fast recovery during load transition, the cross-regulation is minimized. Additionally, due to the DF controller, the freewheel current value automatically updates in each switching period, which can improve the efficiency of the HCM SIDO buck converter, especially under the light load conditions. Finally, the proposed converter has been verified through experimental results. The transient response time on 0.5 A load change takes only 1–2 switching periods. No observable cross- regulation is found and maximum efficiency of 92.03% is achieved. Finally, the experimental waveforms are presented to verify the theoretical research.
Clinical Symptoms, Etiology and Prognosis of Acute Bilateral Posterior Circulation Cerebral Infarction

Background Acute BPCCI was previously presented only as a case report. The prognosis of acute BPCCI is related to many factors, such as gender, age, NIHSS, Hypertension and so on. We first systematically analyzed the clinical symptoms, imaging, etiology and prognosis of acute BPCCI and identified a statistically significant factor. Methods A total of 72 acute BPCCI patients admitted to the Department of Neurology, Beijing Friendship hospital, Capital Medical University were included. The demographics, risk factors, clinical manifestations, National Institute of Health stroke scale (NIHSS) on admission, imaging findings, and the modified Rankin Scale (mRS) at the third month after onset were collected. The mRS score greater than 3 indicated poor prognosis. The factors affecting their prognosis were analyzed. Results We included 72 Chinese patients with acute BPCCI (82% male). The most common symptoms and signs of the patients were dizziness and unilateral limb weakness. Patients with acute BPCCI involving cerebellum accounted for 85% of the patients. The number of patients with large-artery atherosclerosis was 46 (64%), the number of patients with cardiogenic embolism was 12 (17%), and the number of patients with other causes and unknown causes was 14 (19%). After multivariate regression analyses, NIHSS score (odds ratio 0.725, 95% confidence interval 0.586–0.896, P = 0.003) was closely related with the prognosis of acute BPCCI. Conclusion Our study found that the symptoms and signs of acute BPCCI were nonspecific and mainly depended on imaging diagnosis. Acute BPCCI involving cerebellum was the most common case of acute BPCCI. The main cause of acute BPCCI was large-artery atherosclerosis. NIHSS score is identified as a statistically significant factor. The higher NIHSS score on admission showed the worse prognosis. Therefore, an acute BPCCI patient with a high NIHSS score should be paid more attention at the time of diagnosis.
V-pits formation in InGaN/GaN: influence of threading dislocations and indium content

Two sets of InGaN/GaN MOVPE-grown samples were studied by high-resolution x-ray diffraction techniques together with statistical analysis of atomic force microscope images in order to determine the impact of In concentration and threading dislocations (TDs) density on the V-pit formation. It was shown that in our samples, the density of V-pits in the epilayer matched the TD density with a screw component in the substrate. Pure edge TDs do not affect the V-pit density. The In concentration influences the size of the V-pits, but not their density.
Study on SVPWM Method Based on 60° Coordinate System for Three-level Inverter

The shortcomings of traditional space vector pulse width modulation (SVPWM) method for the three-level inverter are: needing to estimate the sectors and calculating a lot of trigonometric functions, and it results in the increase of the calculating quantity of micro-processor. To solve these problems, a new method for SVPWM based on 60° coordinate system is presented in this paper. The method makes use of seven-vectors modulation where positive (or negative) small vectors are used as first vector to generate SVPWM waves. Considering the different effect of the positive and negative small vectors on capacitance, the method adjusts the working time of positive and negative small vectors by changing the voltage adjusting coefficient according to direction of load current and voltage value of capacitance C1 and C2, and this leads to reducing unbalance level of neutral-point voltage between capacitances. The results of simulation show that the new method proposed can omit the judging process of the sectors, reduce the calculating burden, and maintain the approximate balance of neutral-point voltage between capacitances.
The Specificity of Transgene Suppression in Plants by Exogenous dsRNA

The phenomenon of RNA interference (RNAi) is widely used to develop new approaches for crop improvement and plant protection. Recent investigations show that it is possible to downregulate plant transgenes, as more prone sequences to silencing than endogenous genes, by exogenous application of double-stranded RNAs (dsRNAs) and small interfering RNAs (siRNAs). However, there are scarce data on the specificity of exogenous RNAs. In this study, we explored whether plant transgene suppression is sequence-specific to exogenous dsRNAs and whether similar effects can be caused by exogenous DNAs that are known to be perceived by plants and induce certain epigenetic and biochemical changes. We treated transgenic plants of Arabidopsis thaliana bearing the neomycin phosphotransferase II (NPTII) transgene with specific synthetic NPTII-dsRNAs and non-specific dsRNAs, encoding enhanced green fluorescent protein (EGFP), as well as with DNA molecules mimicking the applied RNAs. None of the EGFP-dsRNA doses resulted in a significant decrease in NPTII transgene expression in the NPTII-transgenic plants, while the specific NPTII-dsRNA significantly reduced NPTII expression in a dose-dependent manner. Long DNAs mimicking dsRNAs and short DNA oligonucleotides mimicking siRNAs did not exhibit a significant effect on NPTII transgene expression. Thus, exogenous NPTII-dsRNAs induced a sequence-specific and RNA-specific transgene-suppressing effect, supporting external application of dsRNAs as a promising strategy for plant gene regulation.
Complexity of NAC Action as an Antidiabetic Agent: Opposing Effects of Oxidative and Reductive Stress on Insulin Secretion and Insulin Signaling

Dysregulated redox balance is involved in the pathogenesis of type 2 diabetes. While the benefit of antioxidants in neutralizing oxidative stress is well characterized, the potential harm of antioxidant-induced reductive stress is unclear. The aim of this study was to investigate the dose-dependent effects of the antioxidant N-acetylcysteine (NAC) on various tissues involved in the regulation of blood glucose and the mechanisms underlying its functions. H2O2 was used as an oxidizing agent in order to compare the outcomes of oxidative and reductive stress on cellular function. Cellular death in pancreatic islets and diminished insulin secretion were facilitated by H2O2-induced oxidative stress but not by NAC. On the other hand, myotubes and adipocytes were negatively affected by NAC-induced reductive stress, as demonstrated by the impaired transmission of insulin signaling and glucose transport, as opposed to H2O2-stimulatory action. This was accompanied by redox balance alteration and thiol modifications of proteins. The NAC-induced deterioration of insulin signaling was also observed in healthy mice, while both insulin secretion and insulin signaling were improved in diabetic mice. This study establishes the tissue-specific effects of NAC and the importance of the delicate maintenance of redox balance, emphasizing the challenge of implementing antioxidant therapy in the clinic.
A procedure for variable selection in double generalized linear models

The double generalized linear models (DGLM) allow the fit of the dispersion parameter of the response variable as a function of explanatory variables. Thus they are a possible solution when the assumption of constant dispersion parameter is unreasonable and the response variable follows a distribution from the exponential family. As in other classes of regression models, variable selection is an important step in the fit of a DGLM. In this work, we propose the k-steps variable selection scheme in double generalized linear models, where k is the number of steps required to achieve convergence. To check the performance of our procedure, we performed Monte Carlo simulation studies. The results indicate that our procedure for variable selection presents, in general, similar or superior performance than the other studied methods without requiring a large computational cost. We also evaluated the k-steps variable selection scheme using real data. The results suggest that our procedure can also be a good alternative when prediction is the main goal of the model.
WO3 Nanowires Enhance Molecular Alignment and Optical Anisotropy in Electrospun Nanocomposite Fibers: Implications for Hybrid Light-Emitting Systems

The molecular orientation in polymer fibers is investigated for the purpose of enhancing their optical properties through nanoscale control by nanowires mixed in electrospun solutions. A prototypical system, consisting of a conjugated polymer blended with polyvinylpyrrolidone, mixed with WO3 nanowires, is analyzed. A critical strain rate of the electrospinning jet is determined by theoretical modeling at which point the polymer network undergoes a stretch transition in the fiber direction, resulting in a high molecular orientation that is partially retained after solidification. Nearing a nanowire boundary, local adsorption of the polymer and hydrodynamic drag further enhance the molecular orientation. These theoretical predictions are supported by polarized scanning near-field optical microscopy experiments, where the dichroic ratio of the light transmitted by the fiber provides evidence of increased orientation nearby nanowires. The addition of nanowires to enhance molecular alignment in polymer fibers might consequently enhance properties such as photoluminescence quantum yield, polarized emission, and tailored energy migration, exploitable in light-emitting photonic and optoelectronic devices and for sensing applications.
Structural Model of Retention Intention of Nurses in Small- and Medium-Sized Hospitals: Based on Herzberg’s Motivation-Hygiene Theory

The purpose of this study is to identify factors affecting the retention intention of nurses in small- and medium-sized hospitals and to perform a structural equation model study. Survey data of 348 nurses from 6 small and medium hospitals were analyzed. The collected data were analyzed using the SPSS 25.0 and the AMOS 25.0 programs. As a result of the study, it was confirmed that the endogenous variables influencing job satisfaction were calling, resilience, workplace bullying and nursing work environment, while resilience was the strongest variable as a factor influencing the nursing work environment. It was confirmed that the endogenous variables influencing intention to stay were calling, resilience, workplace bullying and job satisfaction, while job satisfaction was the strongest variable influencing intention to stay. To increase the retention intention of nurses in small and medium hospitals, it is necessary to provide measures to increase the value and meaning of work, and to increase resilience to overcome adversity and adapt to the circumstances. In addition, it is necessary to secure and maintain the resources of nurses in small- and medium-sized hospitals with a strategy to reduce workplace bullying and enhance job satisfaction by improving the organizational culture.
Optimized Clinical Strategies for Treatment-Resistant Depression: Integrating Ketamine Protocols with Trauma- and Attachment-Informed Psychotherapy

Strategically timed trauma- and attachment-informed psychotherapy to address underlying emotional wounds, paired with ketamine administered in precision-calibrated doses to ensure high-entropy brain states, may be key to improving the quality and duration of ketamine’s therapeutic efficacy for treatment-resistant depression. This approach optimizes the opportunities for change created by ketamine’s known effects as a rapid antidepressant that stimulates synaptogenesis, normalizes neural connectivity and coherence, enhances neuroplasticity, reduces inflammation, and induces high-entropy brain states with associated subjective psychedelic experiences. Ketamine, a non-selective N-methyl-D-aspartate (NMDA) receptor antagonist is a safe, effective, fast-acting dissociative anesthetic that, as a standalone treatment, also exhibits rapid sustained antidepressant effects, even in many patients with treatment-resistant depression. A prior history of developmental trauma and attachment injuries are known primary factors in the etiology of treatment resistance in depression and other mental disorders. Thus, the adjunct of targeted psychotherapy attuned to trauma and attachment injuries may enhance and prolong ketamine efficacy and provide an opportunity for lasting therapeutic change. Psychotherapy engagement during repeated ketamine sessions for patient safety and integration of altered states, paired with separate individualized psychotherapy-only sessions timed 24–48 h post ketamine induction, takes advantage of peak ketamine-induced dendritic spine growth in the prefrontal cortex and limbic system, and normalized network connectivity across brain structures. This strategically timed paired-session approach also exploits the therapeutic potential created by precision-calibrated ketamine-linked high-entropy brain states and associated psychedelic experiences that are posited to disrupt overly rigid maladaptive thoughts, behaviors, and disturbing memories associated with treatment-resistant depression; paired sessions also support integration of the felt sense of happiness and connectivity associated with psychedelic experiences.
Artificial Digestion of Polydisperse Copper Oxide Nanoparticles: Investigation of Effects on the Human In Vitro Intestinal Co-Culture Model Caco-2/HT29-MTX

Copper oxide nanoparticles (CuO-NP) are increasingly used in consumer-related products, which may result in increased oral ingestion. Digestion of particles can change their physicochemical properties and toxicity. Therefore, our aim was to simulate the gastrointestinal tract using a static in vitro digestion model. Toxic properties of digested and undigested CuO-NP were compared using an epithelial mono-culture (Caco-2) and a mucus-secreting co-culture model (Caco-2/HT29-MTX). Effects on intestinal barrier integrity, permeability, cell viability and apoptosis were analyzed. CuO-NP concentrations of 1, 10 and 100 µg mL−1 were used. Particle characterization by dynamic light scattering and transmission electron microscopy showed similar mean particle sizes before and after digestion, resulting in comparable delivered particle doses in vitro. Only slight effects on barrier integrity and cell viability were detected for 100 µg mL−1 CuO-NP, while the ion control CuCl2 always caused significantly higher adverse effects. The utilized cell models were not significantly different. In summary, undigested and digested CuO-NP show comparable effects on the mono-/co-cultures, which are weaker than those of copper ions. Only in the highest concentration, CuO-NP showed weak effects on barrier integrity and cell viability. Nevertheless, a slightly increased apoptosis rate indicates existing cellular stress, which gives reason for further investigations.
Intrusion Detection System (A Layered Based Approach for Finding Attacks)

This paper titled "Intrusion Detection System A Layered Based Approach for Finding Attacks" is an OSI layered based network intrusion detection system (IDS) proposed. Here we are concentrating and analyzing OSI layers based attack finding technique. Moreover the proposed IDS approve the effectiveness of the proposed system, and presented results shows advantages of host based as well as network based security. The proposed model of IDSs offers several advantages over alternative systems. First of all it provided layers wise (Application, transport and Network) attack find capability that mean all the attack will be capture according to their layers in network based module, it supported high availability and scalability, and most important thing it produced good results in terms of normal and abnormal behaviors of captured packet. The proposed model includes integration of individual components to produced batter results. In addition it provide host based intrusion detection functionality, in which two type of attribute find in security event log file one is login-logoff time and another is unauthorized accessing of the host.
Sustainability in Rainfed Maize (Zea mays L.) Production Using Choice of Corn Variety and Nitrogen Scheduling

Interestingly more than 50% of the world’s area is rainfed and approximately 80% of maize is cultivated under rainfed condition where selection of cultivar and management of nitrogen have major impact on production. The aim of this study was to evaluate the growth, phenology, yield and quality parameters of maize as influenced by variety and nitrogen scheduling under rainfed condition. For this, a field experiment having two factors was laid out in a factorial randomised block design and replicated three times. The first factor was variety, i.e., V1 (JM 216) and V2 (JM 218), and the second was six nitrogen scheduling, i.e., N1 to N6, in which nitrogen splitting was done based on 30-years of average rainfall data. Variety JM 218 and N5 [40 kg N as basal followed by (fb) 2 splits of 40 kg N and 38.8 kg N at 30 and 52 days after sowing (DAS) and 1% N foliar spray at 40 DAS] nitrogen scheduling were found promising under rainfed situation because it recorded maximum value of growth parameters, yield attributes, grain yield and quality parameters (protein, mineral and dickson quality index). Thus, it can be inferred that JM 218 and N5 nitrogen schedule would be a better choice than alternative options.
Elucidating the Correlation of D-Dimer Levels with COVID-19 Severity: A Scoping Review

Aims The review explores the findings of previous studies to elucidate the association between levels of D-dimer and COVID-19 severity and prognosis. In addition, we assessed the efficiency of anticoagulant therapies in reducing COVID-19 severity and improving the prognosis of the patients. Materials and Methods A comprehensive literature review was conducted using MEDLINE/PubMed databases, Scopus, and Web of Science with the help of keywords “COVID-19,” “D-Dimer,” “Thrombosis,” “Fibrin network,” “Anticoagulant therapy,” “Inflammation,” and “disease severity. ” Based on all these articles and clinical experience, a scoping review was constructed and the full texts of the articles that were retrieved were accessed. Results A D-dimer is a complex protein molecule that is formed during plasmin-mediated degradation of the fibrin network. Thus, it serves as a marker of thrombotic activity. On the other hand, in addition to severe respiratory distress and reduction in pulmonary gas exchange, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) also triggers prothrombotic changes in the infected individuals. The levels of D-dimer have been postulated to be positively associated with the degree of disease severity among COVID-19 patients. Conclusions It has been postulated that D-dimer could potentially be used as a biomarker to predict the prognosis and outcome of COVID-19 patients at the time of admission to hospitals and facilitate more personalized and efficient clinical management that could significantly reduce the mortality rate of such patients and allow more rapid recovery.