Miracle-dz/UniFAR-FTUs huggingface dataset:
Serum Urotensin II Levels Are Elevated in Patients with Obstructive Sleep Apnea

Obstructive sleep apnea (OSA) has become major public concern and is continuously investigated in new aspects of pathophysiology and management. Urotensin II (UII) is a powerful vasoconstrictor with a role in cardiovascular diseases. The main goal of this study was to evaluate serum UII levels in OSA patients and matched controls. A total of 89 OSA patients and 89 controls were consecutively enrolled. A medical history review and physical examination of the participants was conducted, with polysomnography performed in the investigated group. UII levels and other biochemical parameters were assessed according to the standard laboratory protocols. The median AHI in the OSA group was 39.0 (31.4–55.2) events/h, and they had higher levels of hsCRP when compared to control group (2.87 ± 0.71 vs. 1.52 ± 0.68 mg/L; p < 0.001). Additionally, serum UII levels were significantly higher in the OSA group (3.41 ± 1.72 vs. 2.18 ± 1.36 ng/mL; p < 0.001), while positive correlation was found between UII levels and hsCRP (r = 0.450; p < 0.001) and systolic blood pressure (SPB) (r = 0.317; p < 0.001). Finally, multiple regression analysis showed significant association of UII levels with AHI (0.017 ± 0.006, p = 0.013), SBP (0.052 ± 0.008, p < 0.001) and hsCRP (0.538 ± 0.164, p = 0.001). As UII levels were associated with blood pressure and markers of inflammation and OSA severity, it might play an important role in the complex pathophysiology of OSA and its cardiometabolic complications.
An Empirical Study of Smartphone Companies in An Emerging Economy: The Role of Trust and Commitment in Fostering Consumer Engagement and Loyalty Via Social Media

The purpose of this research is to learn more about the mental processes that drive customer involvement, with a focus on the roles that loyalty and trust play in this phenomena online. By investigating the connection between brand engagement on social media, brand affection, consumer trust, and brand loyalty, this study hopes to fill a vacuum in the existing literature. SEM smartPLS was used to analyze data from 251 replies on smartphone and clothing brands. Customers' commitment and trust are moderated not by their feelings but by demographic factors like age and gender. There is a direct and an indirect connection between consumer involvement and trust. Customer happiness, brand loyalty, and brand devotion are all factors that may be predicted and developed with active consumer engagement, as the study shows. Although not all of the predictions of the conceptual model are supported by the data presented here, the study does offer important theoretical and practical insights into how to improve customer engagement, relational marketing strategies, and the consumer acquisition process. The novelty and significance of this article come from its analysis of what motivates customers to interact with a brand online and from the creation of a conceptual model that examines the role of customer engagement as a mediator in the generation of brand loyalty, brand love, and customer satisfaction
A model for buyer and supplier coordination and information sharing in order-up-to systems

This study analyzed a logistics system consisting of a supplier that produces and delivers a single product and a buyer that receives and sells the product to retail customers. In this type of logistics system, the supplier and the buyer agree upon a contract specifying that the supplier will deliver the amount of product needed to increase the inventory of the buyer up to a predetermined order-up-to level at the beginning of each time period. A mathematical model was developed to construct methods to find the cost minimizing cycle lengths for both parties and the order-up-to level for the buyer. The proposed methods were tested for accuracy and execution speed in a variety of experimental settings. Analysis of the results revealed that the proposed methods determined the optimal control parameters for each party in a short time frame. Ultimately, a coordination mechanism based on a system-wide cost minimization policy was proposed to ensure that system-wide costs are minimized while, at the same time, both parties benefit from coordinating their efforts.
Genetic variation of pest fall armyworm Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae) in different landscapes in Bogor

Spodoptera frugiperda is an invasive pest from the American continent that attacks corn (Zea mays) and rapidly invaded Africa and Asia. Two main factors that support migration and population distribution of this species are suitable habitats and human activities. To date, two genetic strains of S. frugiperda have been found in corn in Indonesia: the corn strain (CS) and the rice strain (RS). The most accurate gene markers to detect these strains are COI and Tpi, which are located in mitochondria and Z chromosome. This study aims to determine the existing strains of S. frugiperda and their distribution in various landscapes in Bogor Regency. The research was conducted from July 2020 to December 2021 in Bogor, West Java. Sampling of S. fungiperda was carried out from corn plants in Leuwisadeng, Pamijahan1, Pamijahan2, Kemang, Tenjolaya, Dramaga, Cigombong, Cijeruk, Tamansari, and Ciomas. Larval samples were collected and preserved using 96% ethanol, followed by DNA extraction, DNA amplification, electrophoresis, and DNA sequencing. Distribution data were analyzedusing QGIS and Google Earth Pro programs, and statistical analysis was performed using SPSS 22. Sequence data were edited using GeneStudio, aligned using ClustalW in BioEdit, and the phylogeny tree was reconstructed using the neighbor-joining method (bootstrap 1000x) using MEGA X. The obtained sequences were compared with sequences from the GenBank® database. The results showed the presence of two distinct strains of COI (COI-CSh4 and COI-RS) and one strain of Tpi (Tpi-C) in Bogor. The study found no relationship between thelandscape structure and genetic variation of S. frugiperda.
Chaperone Activity and Protective Effect against Aβ-Induced Cytotoxicity of Artocarpus camansi Blanco and Amaranthus dubius Mart. ex Thell Seed Protein Extracts

Alzheimer’s disease (AD) is the most common type of dementia and is listed as the sixth-leading cause of death in the United States. Recent findings have linked AD to the aggregation of amyloid beta peptides (Aβ), a proteolytic fragment of 39–43 amino acid residues derived from the amyloid precursor protein. AD has no cure; thus, new therapies to stop the progression of this deadly disease are constantly being searched for. In recent years, chaperone-based medications from medicinal plants have gained significant interest as an anti-AD therapy. Chaperones are responsible for maintaining the three-dimensional shape of proteins and play an important role against neurotoxicity induced by the aggregation of misfolded proteins. Therefore, we hypothesized that proteins extracted from the seeds of Artocarpus camansi Blanco (A. camansi) and Amaranthus dubius Mart. ex Thell (A. dubius) could possess chaperone activity and consequently may exhibit a protective effect against Aβ1–40-induced cytotoxicity. To test this hypothesis, the chaperone activity of these protein extracts was measured using the enzymatic reaction of citrate synthase (CS) under stress conditions. Then, their ability to inhibit the aggregation of Aβ1–40 using a thioflavin T (ThT) fluorescence assay and DLS measurements was determined. Finally, the neuroprotective effect against Aβ1–40 in SH-SY5Y neuroblastoma cells was evaluated. Our results demonstrated that A. camansi and A. dubius protein extracts exhibited chaperone activity and inhibited Aβ1–40 fibril formation, with A. dubius showing the highest chaperone activity and inhibition at the concentration assessed. Additionally, both protein extracts showed neuroprotective effects against Aβ1–40-induced toxicity. Overall, our data demonstrated that the plant-based proteins studied in this research work can effectively overcome one of the most important characteristics of AD.
Terahertz conductivity in FeSe0.5Te0.5 superconducting films

Complex conductivity of FeSe0.5Te0. 5 superconducting films has been investigated using backward-wave-oscillator spectroscopy in the terahertz frequency range. The normal state conductivity corresponds well to the low-frequency limit of a Drude metal. In the superconducting state, the real part of the complex conductivity is not completely suppressed, indicating the existence of a strongly anisotropic gap. Weak features in the conductivity are consistent with the superconducting gap value close to 12 cm−1(1.5 meV). The experimental results are discussed within the framework of a two-gap model based on the s± symmetry of the order parameter.
Targeted Ranking-Based Clustering Using AHP K-Means

K-Means can group similar objects features into specified number (K) of cluster centers region. Similarity is measured based on their closest distance of multiple features coordinate location. However, such distance measurement can be doubtful in satisfying certain clustering application as it does not distinguish the meaning of object features representation. Ordinal feature for example may denote to certain ranking objects rather than just number representation. Thus, clustering result should also consider the existing rank label on these objects instead of distance measurement. New AHP K-Means technique is proposed to preserve rank order for each object in the clustering result. It transforms weighted multi-features objects by aggregating them as a single ranking objects using pair-wise comparing among the objects. These ranking objects are then processed by K-Means based on cluster centers that initially setup on fair distributed ranking scale. Based on experiment using weighted course marks of 92 students, the proposed technique shows that ranking-based clustering using AHP can give accurate ranked clustering result compared to normal weighted K-Means.
Investigate Bending Effect of Wearable GPS Patch Antenna with Denim and Polyester Fabric Substrate

— In high technologies today, wearable devices have become popular. Wearable technology is a body sensing system that supports application of health observance and tracking through a wearable Global Positioning System (GPS). The design of the patch antennas is highly significant for the brilliance of the wearable patch antennas. This paper focuses on analyzing the bending effect on return loss and frequency between three types of GPS patch antenna. Types of GPS patch antennas that have been designed in this project are with different substrates and different designs. The wearable patch antenna has been designed and analyse using CST software. As a result, able to analysis the reflection coefficient (S11), radiation patterns, and analytical approach for patch antenna bending effect were obtained.
Response of Maize (Zea mays L.) to Blend (Nitrogen, Phosphorus, Sulfur, Boron) and Potassium Fertilizers Rates at Boloso Sore Woreda, Ethiopia

Background: The declining soil fertility is a severe bottleneck for crop production in Ethiopia. The application of inorganic fertilizer helps to correct a site-specific nutrient deficiency. Methods: The research was conducted at Achura kebele Farmers Training Center (FTC) from December 2020 to July 2021. Soil samples and crop data were collected and analyzed by standard procedures. Result: The soil reaction revealed that the soil was moderately acidic (pH=5.68) and low in organic carbon, total nitrogen, available phosphorus, potassium, sulfur and boron. The result of this study indicated that the growth and yield of maize were significantly (P less than 0.05) affected by the combined effect of both blended (nitrogen, phosphorus, sulfur, boron) and potassium fertilizer rates. The highest grain yield (7200.9 kg ha-1) was found from NPSB, 200 kg ha-1 + K, 50 kg ha-1and the lowest was recorded from control.
Piecewise switching-dependent Lyapunov functional for analyzing systems with hysteresis

This paper presents a new class of Lyapunov functional to effectively analyze systems with hysteresis, which is a class of linear hybrid systems where the switching logic can be expressed as affine equalities of the continuous state. This class extends an existing piecewise quadratic Lyapunov functional in a way that the proposed Lyapunov function is an explicit function of the switching logic as well as the continuous state. Conservatism is thereby reduced in the new analysis approach using these Lyapunov functions because the analysis uses a more general class of Lyapunov functions than the previously published Popov/Yakubovich and piecewise quadratic Lyapunov functions. Furthermore, the derived analysis conditions can be cast as a semi-definite program (SDP), which can be efficiently solved using widely available software. Included are examples to show the effectiveness of this class of Lyapunov functional in analyzing relay control systems.
Effect of the N501Y Mutation on Ligands Complexed with SARS-CoV-2 RBD: Insights on Potential Drug Candidates for COVID-19

Bioactive compounds against SARS-CoV-2 targets could be potential treatments for COVID-19. Inhibitors of the receptor-binding domain (RBD) on the viral spike protein can block its binding to the human angiotensin-converting enzyme type II (ACE2) receptor. This study presents ligands based on natural products and synthetic compounds, targeting multiple N501/Y501 RBDs, besides RBD-ACE2, over different regions. The selected compounds were evaluated by docking using consensus scoring, pharmacokinetics/toxicological analyses, and molecular dynamics. Additionally, N501/Y501 RBD-ACE2 interaction properties and RBD–ligand complexes were compared. We identified that coenzyme Q10, 1-stearoyl-2-arachidonoylglycerol, and palmitone showed the greatest RBD interactions. Targeting specific residues (in particular, tyrosine) in the C-, N-terminal, and central RBD sites promoted more stable protein–ligand interactions than in the N-terminal region only. Our results indicate that the molecules had more energetically favorable interactions with residues from distinct RBD regions rather than only interacting with residues in the N-terminal site. Moreover, the compounds might better interact with mutated N501Y than N501 RBDs. These hits can be optimized to leads and investigated through QSAR models and biological assays to comprehend mechanisms better. Altogether, such strategies may anticipate antiviral strategies if or when future variants and other CoVs arise.
Anthropometric and Body Circumference Determinants for Hand Grip Strength: A Population-Based Mon-Timeline Study

Background Hand grip strength (HGS) is a tool for diagnosing sarcopenia. In this study, we examined some anthropometric and body circumference measurements as determinants for HGS. Methods This cross-sectional study was conducted with participants (Mongolians, n = 1080, aged 18–70, mean age of 41.2 ± 13.9 years, 33.7% of men) from the “Mon-Timeline” cohort study. To measure HGS, a digital grip strength dynamometer was used. Results Mean HGS in men was 40.1 ± 10.4 kg and in women was 24.5 ± 5.6 kg. Correlation analysis showed that the strongest correlation with HGS was height (r = 0.712, p < 0.001). Moreover, HGS was inversely correlated with age (r = −0.239, p < 0.001) and thigh circumference (r = −0.070, p < 0.01), while it was positively correlated with body weight (r = 0.309, p < 0.001), neck circumference (r = 0.427, p < 0.001), upper arm circumference (r = 0.108, p < 0.0001), lower arm circumference (r = 0.413, p < 0.0001), and calf circumference (r = 0.117, p < 0.0001). In the multivariate linear regression analysis (unstandardized B coefficient, 95% CI), age (−0.159, −0.188; −0.129), sex (−9.262, −10.459; −8.064), height (0.417, 0.357; 0.478), lower arm circumference (1.003, 0.736; 1.270), and calf circumference (−0.162, −0.309; −0.015) were significantly associated with HGS. Conclusions When detecting sarcopenia using HGS, it is important to take into account variables such as body height and body circumference.
Systemic Anti-Inflammatory Effects of Intravenous Lidocaine in Surgical Patients: A Systematic Review and Meta-Analysis

There has recently been increasing evidence that the use of perioperative intravenous lidocaine infusion possesses analgesic, opioid-sparing and anti-inflammatory effects in surgical patients. Although opioid-sparing and analgesic properties have been strongly supported, the anti-inflammatory features are not well established in elective surgery. Therefore, the aim of this systematic review is to examine the effect of perioperative intravenous lidocaine infusion on postoperative anti-inflammatory status in patients undergoing elective surgery. A search strategy was created to identify suitable randomised clinical trials (RCTs) in PubMed, Scopus, Web of Science and Clinicaltrials.gov databases until January 2023. RCTs that evaluated the effect of intravenous lidocaine infusion, compared with placebo, on adult patients who underwent elective surgery, in inflammatory markers response were included. Exclusion criteria consisted of paediatric patients, animal studies, non-RCT methodology, intervention without intravenous lidocaine, inadequate control group, duplicated samples, ongoing studies and lack of any relevant clinical outcome measures. The following inflammatory markers—interleukin (IL)-6, tumour necrosis factor (TNF)-α, IL-1RA, IL-8, IL-10, C-reactive protein (CRP), IL-1, IL-1β, interferon (IFN)-γ, cortisol, IL-4, IL-17, high-mobility group protein B1 (HMGB1) and transforming growth factor (TGF)-β—were evaluated as outcomes in this review. A total of 21 studies, including 1254 patients, were identified. Intravenous lidocaine infusion significantly reduced the change from IL-6 baseline levels at the end of surgery compared to a placebo (standardised mean difference [SMD]: −0.647, 95% confidence interval [CI]: −1.034 to −0.260). Usage of lidocaine was associated with a significant reduction in other postoperative pro-inflammatory markers, such as TNF-α, IL-1RA, IL-8, IL-17, HMGB-1 and CRP. There was no significant difference in other markers, such as IL-10, IL-1β, IL-1, IFN-γ, IL-4, TGF-β and cortisol. This systematic review and meta-analysis provide support for the administration of perioperative intravenous lidocaine infusion as an anti-inflammatory strategy in elective surgery.
Automata for the mu-calculus and Related Results

The propositional mu-calculus as introduced by Kozen in [4] is considered. The notion of disjunctive formula is defined and it is shown that every formula is semantically equivalent to a disjunctive formula. For these formulas many difficulties encountered in the general case may be avoided. For instance, satisfiability checking is linear for disjunctive formulas. This kind of formula gives rise to a new notion of finite automaton which characterizes the expressive power of the mu-calculus over all transition systems.
M Mu us si ic c T Th he eo or ry y O On nl li in ne e

A key signature is a collection of paths in pitch-class space. As such, it provides a powerful tool for thinking about voice leading, one that can be used to answer familiar objections to the very notion of a voice leading between pitch-class sets. I begin by generalizing the traditional Western system of musical notation, defining paths in pitch-class space, and showing that key signatures are collections of such paths. I then show that it is always possible to find a minimal voice leading that has no voice crossings; however, it is not always possible to avoid voice crossings while maximizing common-tone retention. I describe a general method for identifying a minimal voice leading between arbitrary chords, and show that our familiar system of diatonic key signatures implements this method. I conclude by deriving a set of key signatures for the acoustic scale. These key signatures represent minimal voice leadings from the diatonic to the acoustic collection, and are interestingly related to the familiar diatonic key signatures.
THE INFLUENCE OF LEADERSHIP STYLE AND TEAMWORK ON SATISFACTION WORK EMPLOYEE WITH ENVIRONMENT WORK AS MODERATING VARIABLES AT PUBLIC HEALTH CENTER X BATAM CITY

Destination Study this is for now and analyze influence style leadership and cooperation team to satisfaction work employee with environment work as moderating variable. Method research used is quantitative correlation. Population is the employee who work at public health center X Batam City with total 40 people, with technique sample is the total sampling. Data in the form of primary data with a questionnaire instrument and a scale likert. Quantitative data analysis techniques with method Partial Least Square (PLS) statistics. Research results got that style leadership take effect positive and significant to variable satisfaction work, Teamwork is influential positive and not significant to variable performance. Environment work take effect positive and not significant to variable satisfaction work. Leadership style with environment work take effect close to satisfaction work, while teamwork _ with environment work take effect weak to satisfaction work. Conclusion that only there is one variable that has influence significant with Pvalue 0.004 < = 0.05 and has connection close with variable the moderator that is variable leadership to satisfaction affected work by closely by variable environment work.
SD-AETO: Service-Deployment-Enabled Adaptive Edge Task Offloading Scheme in MEC

In recent years, edge computing, as an important pillar for future networks, has been developing rapidly. Task offloading is a key part of edge computing that can provide computing resources for resource-constrained devices to run computing-intensive applications, accelerate computing speed, and save energy. An efficient and feasible task offloading scheme can not only greatly improve the Quality of Experience (QoE) but also provide strong support and assistance for 5G/B5G networks, the Industrial Internet of Things (IIoT), computing networks, etc. To achieve these goals, this article proposes an adaptive edge task offloading scheme assisted by service deployment (SD-AETO) focusing on optimizing the energy utilization ratio (EUR) and the processing latency. In the preimplementation stage of the SD-AETO scheme, a service deployment scheme is invoked to assist with task offloading considering each service’s popularity. The optimal service deployment scheme is obtained by using the approximate deployment graph (AD-graph). Furthermore, a task scheduling and queue offloading design procedure is proposed to complete the SD-AETO scheme based on task priority. The task priority is generated by corresponding service popularity and task offloading. Finally, we analyze our SD-AETO scheme and compare it with related approaches, and the results show that our scheme has a higher edge offloading rate and lower resource consumption for massive task scenarios in the edge network.