Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptation of the Global Motivation Scale (GMS-28) in Indonesian Version

Motivation is one of the important variables for study, whereas many motivational studies have been conducted to predict learning, performance, and behavior change. The motivational scale that has gone through psychometric testing is required in motivational research to accurately describe the construct. There is still low availability of motivational scale in Indonesia that has passed the psychometric testing. Therefore, this study aims to adapt the Global Motivation Scale (GMS-28) into Indonesian. The adaptation process refers to the adaptation guidelines by the International Test Commission, where the process of adaptation also involves psychometric testing. Data collection was carried out using an online questionnaire on 383 participants aged 18-25 years. The psychometric test was carried out using internal consistency reliability and validity based on internal structure. The internal consistency scale has revealed all acceptable reliability coefficients aspects with a range of a = 0.703 – 0.810. Item analysis pointed out that all items have good item-total correlation and item mean. Findings from First-order Confirmatory Factor Analysis showed that all aspects have acceptable model fit and all of the items significantly measures the aspects on GMS-28. Based on these results, it can be concluded that the Indonesian version of the GMS-28 is suitable for use for further studies. However, further testing needs to be done using a larger sample to be used in all Indonesian populations.
Endogenously produced hyaluronan contributes to the regulation of peritoneal adhesion development

Peritoneal adhesions are postsurgical fibrotic complications connected to peritoneal inflammation. The exact mechanism of development is unknown; however, an important role is attributed to activated mesothelial cells (MCs) overproducing macromolecules of extracellular matrix (ECM), including hyaluronic acid (HA). It was suggested that endogenously‐produced HA contributes to the regulation of different fibrosis‐related pathologies. However, little is known about the role of altered HA production in peritoneal fibrosis. We focused on the consequences of the increased turnover of HA in the murine model of peritoneal adhesions. Changes of HA metabolism were observed in early phases of peritoneal adhesion development in vivo. To study the mechanism, human MCs MeT‐5A and murine MCs isolated from the peritoneum of healthy mice were pro‐fibrotically activated by transforming growth factor β (TGFβ), and the production of HA was attenuated by two modulators of carbohydrate metabolism, 4‐methylumbelliferone (4‐MU) and 2‐deoxyglucose (2‐DG). The attenuation of HA production was mediated by upregulation of HAS2 and downregulation of HYAL2 and connected to the lower expression of pro‐fibrotic markers, including fibronectin and α‐smooth muscle actin (αSMA). Moreover, the inclination of MCs to form fibrotic clusters was also downregulated, particularly in 2‐DG‐treated cells. The effects of 2‐DG, but not 4‐MU, were connected to changes in cellular metabolism. Importantly, the inhibition of AKT phosphorylation was observed after the use of both HA production inhibitors. In summary, we identified endogenous HA as an important regulator of peritoneal fibrosis, not just a passive player during this pathological process.
The effect of southwest monsoon on the meso-scale biogeographic patterns of the bacteria in the northeast of South China Sea

Complicated physical systems and strong seasonal monsoons are features of the north-east South China Sea (SCS). To understand how monsoon-driven changes affect the bacterial community structure and distribution in the surface water from shelf to slope in the northeast SCS (NESCS), we collected water samples during the intermonsoon (Spring, 2021) and Southwest monsoon (May, 2021) respectively. In our research, we found that α diversity of bacteria did not differ significantly during intermonsoon and monsoon periods, nor did it differ significantly between shelf and slope. However, bacterial community were well differentiated between groups (Shelf-I, Slope-I, Shelf-M, and Slope-M). In both seasons, there was a significant geographical distance decay relationship, but the monsoon did not change the biogeographic pattern of bacteria. Finally, all environmental factors in both seasons, except salinity, have a significant impact on bacteria, and the correlation is enhanced during the monsoon.
The challenges faced by women-owned companies in Afghanistan under COVID-19 and Taliban

Abstract The COVID-19 pandemic and the shift of power to the Taliban have negatively affected women-owned companies. This study aimed to explore the external and internal challenges of women-owned businesses from March 2020 to January 2022 in Afghanistan. In-depth semi-structured interviews were conducted from December 2021 to January 2022 with 29 women-owned company owners and chief executive officers (CEOs) based in five provinces of Afghanistan. Data were analyzed using thematic analysis. The themes are COVID-19 external challenges: movement restriction, inability to access the market, and financial issues. COVID-19 internal challenges: financial and production problems. Taliban governance external challenges: regulation on women’s activities, economic crisis, and market downturn, and Taliban governance internal challenges: financial issues, production issues, and staff mental wellbeing. The study concluded that challenges due to the COVID-19 and Taliban governance presented strong shocks to women-owned companies that may precipitate the closure of these companies or the immigration of businesswomen.
Route Planning for Unmanned Aerial Vehicles During Monitoring Mobile Objects

In the interests of improving the quality of uncrewed aerial vehicles (UAV) group flight planning, the formulation of the problem of developing algorithms for the operational determination of the admissible monitoring and the required number of UAV when servicing the flow of applications, taking into account the impact of loss of efficiency, is formulated. The purpose of the work is to develop algorithms for planning a group flight, taking into account the priority of the object of observation, its remoteness and the flight time of the group. The novelty of the work is the proposed approach to solving the problem of pre-flight planning of UAV group flight. The approach consists in performing a procedure for calculating the rational number of UAVs for performing flights in a given territory, followed by clustering all objects of interest to exclude intersections of their routes and implementing the developed modified genetic algorithm. At the same time, the modification of the known genetic algorithm consists in the formation of the initial “elite” of routes using two special criteria that take into account the priorities of the objects of observation, their distance from the UAV group, and the time to complete the flight task.
Genome-Wide Expression Analysis of Long Noncoding RNAs and Their Target Genes in Metafemale Drosophila

Aneuploidy is usually more detrimental than altered ploidy of the entire set of chromosomes. To explore the regulatory mechanism of gene expression in aneuploidy, we analyzed the transcriptome sequencing data of metafemale Drosophila. The results showed that most genes on the X chromosome undergo dosage compensation, while the genes on the autosomal chromosomes mainly present inverse dosage effects. Furthermore, long noncoding RNAs (lncRNAs) have been identified as key regulators of gene expression, and they are more sensitive to dosage changes than mRNAs. We analyzed differentially expressed mRNAs (DEGs) and differentially expressed lncRNAs (DELs) in metafemale Drosophila and performed functional enrichment analyses of DEGs and the target genes of DELs, and we found that they are involved in several important biological processes. By constructing lncRNA-mRNA interaction networks and calculating the maximal clique centrality (MCC) value of each node in the network, we also identified two key candidate lncRNAs (CR43940 and CR42765), and two of their target genes, Sin3A and MED1, were identified as inverse dosage modulators. These results suggest that lncRNAs play an important role in the regulation of genomic imbalances. This study may deepen the understanding of the gene expression regulatory mechanisms in aneuploidy from the perspective of lncRNAs.
Racial, Lifestyle, and Healthcare Contributors to Perceived Cancer Risk among Physically Active Adolescent and Young Adult Women Aged 18–39 Years

The cancer incidence among adolescents and young adults (AYAs) has significantly increased in recent years, but there is limited information about the factors that influence the perceived cancer risk among AYAs. A cross-sectional, web-based survey of 281 physically active Black and White AYA women was administered to assess the influences of demographic characteristics, family history of cancer, cancer risk factor knowledge, and lifestyle-related risk and protective behaviors on perceived cancer risk. Linear regression analyses were performed in SAS version 9.4. Self-reported Black race (β = −0.62, 95% CI: −1.07, −0.17) and routine doctor visits (β = −0.62, 95% CI: −1.18, −0.07) were related to a lower perceived cancer risk. Family history of cancer (β = 0.56, 95% CI: 0.13, 0.99), cancer risk factor knowledge (β = 0.11, 95% CI: 0.03, 0.19), and current smoking status (β = 0.80, 95% CI: 0.20, 1.40) were related to a higher perceived cancer risk. Perceptions of cancer risk varied among this sample of physically active, AYA women. Lower perceptions of cancer risk among Black AYA women demonstrate a need for culturally tailored cancer educational information that presents objective data on lifetime cancer risk. Reportedly higher perceptions of cancer risk among AYA smokers presents an ideal opportunity to promote smoking cessation interventions. Future interventions to address cancer risk perception profiles among physically active, AYA women should tailor approaches that are inclusive of these unique characteristics.
Ultrafast Infrared Laser Crystallization of Amorphous Si/Ge Multilayer Structures

Silicon–germanium multilayer structures consisting of alternating Si and Ge amorphous nanolayers were annealed by ultrashort laser pulses at near-infrared (1030 nm) and mid-infrared (1500 nm) wavelengths. In this paper, we investigate the effects of the type of substrate (Si or glass), and the number of laser pulses (single-shot and multi-shot regimes) on the crystallization of the layers. Based on structural Raman spectroscopy analysis, several annealing regimes were revealed depending on laser fluence, including partial or complete crystallization of the components and formation of solid Si–Ge alloys. Conditions for selective crystallization of germanium when Si remains amorphous and there is no intermixing between the Si and Ge layers were found. Femtosecond mid-IR laser annealing appeared to be particularly favorable for such selective crystallization. Similar crystallization regimes were observed for both single-shot and multi-shot conditions, although at lower fluences and with a lower selectivity in the latter case. A theoretical analysis was carried out based on the laser energy absorption mechanisms, thermal stresses, and non-thermal effects.
Autonomous Navigation System in Pedestrian Scenarios Using a Dreamer-Based Motion Planner

Navigation among pedestrians is a crucial capability of service robots; however, it is a challenge to manage time-varying environments stably. Recent deep reinforcement learning (DRL)-based approaches to crowd navigation have yielded numerous promising applications. However, they rely heavily on initial imitation learning and colossal positive datasets. Moreover, the difficulties in accurately localizing robots, detecting and tracking humans, representing and generalizing reciprocal human relationships restrict their deployment in real-world problems. We propose a Dreamer-based motion planner for collision-free navigation in diverse pedestrian scenarios. Our RL framework can completely learn from zero experience via a model-based DRL. The robot and humans are first projected onto a map, which is subsequently decoded into low-dimensional latent state. A predictive dynamic model in the latent space is jointly created to efficiently optimize the navigation policy. Additionally, we leverage the techniques of system identification, domain randomization, clustering and LiDAR SLAM for practical deployment. Simulation ablations and real implementations demonstrate that our motion planner outperforms state-of-the-art methods, and that the navigation system can be physically implemented in the real world.
An embedding-based text classification approach for understanding micro-geographic housing dynamics

Abstract In this article, we introduce an approach for studying micro-geographic housing dynamics using an embedding-based, semi-supervised text classification approach on longitudinal, point-level property listing data. Based on the text used to describe properties for sale and a set of predefined classes and keywords, listings are classified according to their lifecycle of investment or disinvestment. The mixture of property types within 1 × 1 mile grid cells are then calculated and used as input in a clustering algorithm to develop a place-based classification that enables us to examine patterns of change over time. In a case study on Mecklenburg County, North Carolina using 158,253 real estate listings between 2001 and 2020, we demonstrate how this approach has the potential to further our understanding of housing and neighborhood dynamics by grounding our analysis in theoretical concepts around the housing lifecycle and its relationship to neighborhood change.
Joint Contributions of Depression and Insufficient Sleep to Self-Harm Behaviors in Chinese College Students: A Population-Based Study in Jiangsu, China

Self-harm in young people is common, and previous studies have shown that insufficient sleep or depression was associated with self-harm. However, the joint association of insufficient sleep and depression with self-harm is unknown. We employed representative population-based data from the “Surveillance for Common Disease and Health Risk Factors Among Students in Jiangsu Province 2019” project. College students reported their self-harm behavior over the past year. Rate ratios (RRs) and corresponding 95% confidence intervals (CIs) for self-harm in relation to sleep and depression were modeled using negative binomial regression with a sample population as an offset, adjusting for age, gender, and region. The instrumental variable approach was used for the sensitivity analyses. Of the study population, approximately 3.8% reported self-harm behaviors. Students with sufficient sleep experienced a lower risk of self-harm than those with insufficient sleep. Compared with students with sufficient sleep and the absence of depression, the adjusted risk of self-harm was elevated 3-fold (1.46–4.51) in those reporting insufficient sleep in the absence of depression, 11-fold (6.26–17.77) in those with sufficient sleep and definite depression, and 15-fold (8.54–25.17) in those with both insufficient sleep and definite depression. The sensitivity analyses indicate that insufficient sleep remained a contributing risk factor for self-harm. Lack of sleep in young people is significantly associated with self-harm, particularly in the presence of depression. The provision of mental health care and attention to sleep deprivation are particularly important for college students.
Research progress in the treatment of Knee Osteoarthritis

Osteoarthritis in the knee is a disease that is chronic and degenerative. It occurs more frequently between the elderly and the obese populations, and the prevalence rate of women is higher than that of men. With the accelerated aging of the population, the prevalence of knee osteoarthritis has also increased, which has brought greater pressure to the patients themselves and society. In recent years, although through the efforts of researchers, there have been a variety of treatment methods for knee osteoarthritis in the clinic, researchers have not yet found a complete cure for knee osteoarthritis. This paper introduces the research status of therapeutic modalities, exercise therapy and traditional therapy in the therapy of knee osteoarthritis by investigating previous research, aiming to promote the level of knee osteoarthritis therapy.
Numerical Simulation Research about Riblet Surface with Different Spacing

The numerical simulation about riblet surfaces with different spacing was carried out at different velocities.Some rules about riblet surface’s drag reduction effect influenced by spacing were found out primarily.According to the characteristic of riblet surface’s flow field,computation region,grids and flow parameters were dealt with reasonably.Results are as follows.Riblet surface with spacing has better drag reduction effect than that without spacing.Drag reduction effect reaches the best while the spacing size is equal to riblet structure.The reason that drag reduction effect of riblet surface could be influenced by spacing is that the spacing can restrain the increase of pressure drag.
Idealized Large-Eddy Simulations of a Tropical Cyclone-like Boundary Layer

AbstractThe tropical cyclone (TC) boundary layer (TCBL)—featuring extreme winds over a rough ocean—is difficult to study observationally. With increasing computational power, high-resolution large-eddy simulation (LES) has become an attractive tool to advance understanding of the TCBL. Here, an idealized Cartesian-based LES is employed to investigate boundary layers driven by extreme TC-like winds. The LES includes the effects of centripetal acceleration through an “effective” Coriolis parameter f* = f + 2Vg/R, with the Earth Coriolis parameter f, gradient wind Vg, and (fixed) radius R. Multiple LES experiments are conducted to elucidate how the boundary layer develops and persists in the strongly rotating TC environment. In all simulations, an overshooting jet develops, the height of which increases with Vg, R, and surface drag. Normalized jet strength also increases with R and drag but decreases with Vg. Turbulent diffusivity Km—which must be parameterized in mesoscale and global models but can be diagn.
Concrete and Abstract Concepts in Primary Progressive Aphasia and Alzheimer’s Disease: A Scoping Review

The concreteness effect (CE), namely a better performance with concrete compared to abstract concepts, is a constant feature in healthy people, and it usually increases in persons with aphasia (PWA). However, a reversal of the CE has been reported in patients affected by the semantic variant of Primary Progressive Aphasia (svPPA), a neurodegenerative disease characterized by anterior temporal lobe (ATL) atrophy. The present scoping review aims at identifying the extent of evidence regarding the abstract/concrete contrast in Alzheimer’s disease (AD) and svPPA and associated brain atrophy. Five online databases were searched up to January 2023 to identify papers where both concrete and abstract concepts were investigated. Thirty-one papers were selected and showed that while in patients with AD, concrete words were better processes than abstract ones, in most svPPA patients, there was a reversal of the CE, with five studies correlating the size of this effect with ATL atrophy. Furthermore, the reversal of CE was associated with category-specific impairments (living things) and with a selective deficit of social words. Future work is needed to disentangle the role of specific portions of the ATL in concept representation.
Methyl Ferulate Induced Conformational Changes of DeOxyHbS: Implication on Sickle Erythrocyte Polymerization

Sickle cell disease (SCD) is a molecular disease caused by substituting glutamic acid with valine at the β-6 position of the hemoglobin, leading to the polymerization of erythrocytes that contain the hemoglobin afterward leads to severe clinical consequences. Polymerization of sickle hemoglobin occurs only in the deoxygenated form i.e only sickle deoxyhemoglobin (DeOxyHbS) polymerizes. SCD is predominant in children living in Africa, especially in West Africa. Therefore, molecular docking and molecular dynamic simulation studies were carried out on methyl ferulate isolated from Ficus thonningii leaves, a known antisickling plant used in Eastern Nigeria to manage SCD. The Harborne procedure was used for extraction, whereas the combination of column chromatography and flash chromatography was used for the isolation and purification of active principles of the leaves extract. The structure of methyl ferulate was determined based on nuclear magnetic resonance (NMR) analysis. A binding affinity of -5.8 kcal/mol indicated that methyl ferulate binds to DeOxyHbS and could interfere with the processes that trigger sickle hemoglobin polymerization in vitro. The observed variations in perturbation of both DeOxyHbS and FTH3-DeOxyHbS complex root mean square deviation (RMSD), the radius of gyration (Rgyr), solvent accessible surface area (SASA), potential energy (PE), and Van der Waal’s (VDW) interactions were obtained from the molecular dynamic simulation studies of the binding site amino acid residue performed at 500 ps and suggest that in silico methyl ferulate binds with amino acid residues reported being involved in sickle hemoglobin polymerization and thus may possess antisickling potentials in vitro.
Label-free real-time monitoring of reactions between internalin a and its antibody by an oblique-incidence reflectivity-difference method

Surface protein internalin (InlA) is a major virulence factor of the food-borne pathogen L. monocytogenes. It plays an important role in bacteria crossing the host's barrier by specific interaction with the cell adhesion molecule E-cadherin. Study of this protein will help to find better ways to prevent listeriosis. In this study, a monoclonal antibody against InlA was used to detect InlA. The reaction was label-free and monitored in real time with an oblique-incidence reflectivity-difference (OI-RD) technique. The kinetic constants k on and k off and the equilibrium dissociation constant K d for this reaction were also obtained. These parameters indicate that the antibody is capable of detecting InlA. Additionally, the results also demonstrate the feasibility of using OI-RD for proteomics research and bacteria detection.