Miracle-dz/UniFAR-FTUs huggingface dataset:
Business strategies of snack food product export performance: A structural equation model analysis

Over the past several years the COVID-19 pandemic has devasted Thailand’s economy while simultaneously destroying the ability of numerous snack food enterprises to sell their home-grown products domestically and to export to the broader international community. Therefore, the purpose of the research was to investigate which factors affected the export performance (XPE) of Thai One Tambon One Product (OTOP) entrepreneur snack food products. From a list of OTOP export producers, the authors used systematic random sampling across six Thai regions to select the study’s 311 export entrepreneurs. The structural equation model (SEM) analysis used LISREL 9.1 to determine the validity of the causal model and the variable interrelationships and how they affected OTOP snack food XPE. The SEM results revealed that innovative products (IPT), innovative processes (IPS), packaging design (PAD), the marketing mix strategy (MMS), and product quality (PDQ) all positively influenced XPE. Also, the total effect values for MMS, PAD, PDQ, IPT, and IPS, were 0.27, 0.22, 0.21, 0.15, and 0.05, respectively. Nine of the eleven hypotheses examined were supported, with PAD being shown to strongly influence MMS. This paper makes a significant contribution to the global discussion concerning rural poverty reduction, rural employment, and entrepreneurial handicraft export performance.
Knowledge, attitude, and practices of adolescent school girls regarding menstrual hygiene in Lucknow district

Background: Girls’ adolescence has been recognized as a unique period that occurs as they cross the threshold from childhood to adulthood. Menstruation is typically viewed in Indian society as unclean. A negative attitude about this condition has been perpetuated by efforts to isolate and restrict menstruation females in the household. Numerous investigations have discovered restrictions in daily activities. On the other hand, maintaining good cleanliness habits during menstruation is important for reproductive health since it reduces vulnerability to infections of the reproductive tract. Aims and Objectives: The aim of the study was to assess knowledge and attitude about menstrual health among adolescent girls in rural and urban schools in Lucknow district and to find out practices of menstrual hygiene among them. Materials and Methods: The study unit consists of 410 teenage school-going females who live in both urban and rural regions of the Lucknow district. There was a multi-stage random sampling. A pre-developed and pre-tested interview schedule was employed toobtain data. Participants were questioned about their personal cleanliness, which need to be covered in the academic program. Results: Four hundred and ten adolescent girls who were enrolled in school participated in the study. The majority of girls in this survey (52.8%) are between the ages of 17 and 19. 87.6% of the girls reported being ignorant of menstruation before menarche. While 41.6% of the girls were unaware of the organ from which bleeding originates, around 68.2% of the girls believed that the primary reason of menstruation is physiological and unrelated to any sickness. At the age of 10–13 years, 42.60% of the girls reached menarche. The majority of participants (60.80%) gave accurate responses to the question about the typical menstrual cycle’s average length. Only 35.27% of the girls were aware of the proper menarche age. Of them, 65.50% were aware of the issues with their reproductive health. Conclusion: Lack of education among mothers and other female family members may contribute to girls’ lack of knowledge and awareness of menstruation. Misinformation, pre-conceptions, limitations, and a lack of knowledge around menstruation come in many different forms. As a result, when the entire family is familiar with the phenomena of menstruation, age-old prohibitions, conventional preconceptions, incorrect ideas, and negative attitudes may be successfully erased.
Effect of Xuefu Zhuyu Capsule on Myocardial Infarction: Network Pharmacology and Experimental Verification

Background Myocardial infarction (MI) is the most severe manifestation of cardiovascular disease. Xuefu Zhuyu Capsule (XFC), a proprietary Chinese medicine, is widely used in various cardiovascular diseases. At present, the molecular mechanism of XFC remains unclear. Objective To explore the mechanism of anti-MI effects of XFC by combining network pharmacology and experiments. Methods TCMSP, GeneCards, and DisGeNET databases were used to find the target of XFC. PPI analysis was performed by the STRING database. KEGG and GO analyses were performed by Metascape Database. Molecular docking was performed by Autodock Vina. HE staining, echocardiography, immunofluorescence, and TUNEL were performed to verify the prediction results. Results Network pharmacology showed that quercetin, kaempferol, β-sitosterol, luteolin, and baicalein were the main active ingredients of XFC. TNF, IL6, TP53, VEGFA, JUN, CASP3, and SIRT1 were the main targets of XFC. KEGG results showed that key genes were mainly enriched in lipid and atherosclerosis, PI3K-Akt signaling pathway, MAPK signaling pathway, and NF-κB signaling pathway. HE staining showed that XFC could improve the morphology of myocardial tissue. Echocardiography showed that XFC could improve cardiac function. TUNEL showed that XFC could reduce cardiomyocyte apoptosis. Immunofluorescence showed that XFC could reduce the expression of α-smooth muscle actin (α-SMA) and increase the expression of CD31. In addition, we found that XFC may exert its therapeutic effects through SIRT1. Conclusion This study demonstrated that SIRT1 may be the target of XFC in the treatment of MI. The active ingredients of XFC and SIRT1 can be stably bound. XFC could inhibit apoptosis, promote angiogenesis, and improve myocardial fibrosis through SIRT1.
Assessment of lipid peroxidation status in the serum of Moroccan patients with nasopharyngeal carcinoma

Introduction Many studies have addressed the role of oxidative stress products in the carcinogenesis of nasopharyngeal carcinoma (NPC). The current study aimed to assess malondialdehyde (MDA) levels in the serum of patients with NPC before and after chemo- radiotherapy (CRT), to evaluate its potential role as a biomarker in the management of this disease. Material and methods A total of 112 patients with newly diagnosed NPC, occurring between January 2017 and February 2019, were enrolled and followed up. The level of MDA was determined by spectrophotometric method. Results Serum MDA levels in NPC patients before CRT were higher (0.911 µmol/ml/mg) than that obtained in the control group (0.613 µmol/ml/mg) (p < 0.00). After CRT, MDA levels decreased significantly (0.698 µmol/ml/mg) (p = 0.007). Serum MDA levels in patients at advanced disease stages (III–IV) were significantly higher (0.966 µmol/ml/mg) than those at early disease stage (I–II) (0.492 µmol/ml/mg) (p = 0.001). Additionally, no significant association was observed between MDA levels before CRT and patients’ outcomes (p > 0.05). Conclusions In conclusion, high levels of MDA in the serum of patients with NPC before CRT, and their increase with disease stage, accurately reflect the heightened oxidative stress level in NPC. These findings strongly imply that MDA serum levels could be used as a biomarker in the progression monitoring of NPC.
Applying Convolutional Neural Network to Predict Soil Erosion: A Case Study of Coastal Areas

The development of ecological restoration projects is unsatisfactory, and soil erosion is still a problem in ecologically restored areas. Traditional soil erosion studies are mostly based on satellite remote sensing data and traditional soil erosion models, which cannot accurately characterize the soil erosion conditions in ecological restoration areas (mainly plantation forests). This paper uses high-resolution unmanned aerial vehicle (UAV) images as the base data, which could improve the accuracy of the study. Considering that traditional soil erosion models cannot accurately express the complex relationships between erosion factors, this paper applies convolutional neural network (CNN) models to identify the soil erosion intensity in ecological restoration areas, which can solve the problem of nonlinear mapping of soil erosion. In this study area, compared with the traditional method, the accuracy of soil erosion identification by applying the CNN model improved by 25.57%, which is better than baseline methods. In addition, based on research results, this paper analyses the relationship between land use type, vegetation cover, and slope and soil erosion. This study makes five recommendations for the prevention and control of soil erosion in the ecological restoration area, which provides a scientific basis and decision reference for subsequent ecological restoration decisions.
Tropical Intraseasonal Oscillation, Super Cloud Clusters, and Cumulus Convection Schemes

Abstract A new framework for interpreting the origin of the tropical intraseasonal oscillation (TISO), which avoids the speed and scale selection problems in the previous theories, is proposed in this study. In this interpretation TISO is viewed as an oscillation driven by an eastward moving convective region. This convective region consists of one or more super cloud clusters originating in the Indian Ocean and terminating in mid-Pacific, and is then followed by another convective region arising in the Indian Ocean in a period of 40–50 days. Additionally, a formal analogy is pointed out between super cloud clusters and the middle-latitude baroclinic wave packets. This study includes a simulation of TISO in a 2D model to support our interpretation. Experiments were conducted with four different convection schemes. The authors advocate that the successful simulation of TISO depends on the successful simulation of super cloud clusters, which in turn depends on the successful simulation of the life cycle of .
Dynamic behaviour of concrete: the structural effects on compressive strength increase

Many concrete structures may be submitted to high rate dynamic loadings (impacts, explosions, etc.). So, it is necessary to know the behaviour of this material in order to predict the response of the structure. Under dynamic loading an increase of apparent compressive strength is observed. This may be due to a rheological effect or to a structural effect. Dynamic compression tests are available using the split Hopkinson pressure bars. Forces and velocities are obtained on each face of the specimen. A simulation of these tests is carried out using two different models. The first, based on plasticity theory, is a non-associated model with a failure surface of the Ottosen type. This model is independent of the strain rate. The second model is an elasto-viscoplastic model with a damage law. It only takes into account the main features of the behaviour, the sliding phenomena, the damage and the softening. The comparison of experimental results and simulations leads us to consider the structural effect as an inertial confinement responsible for the apparent increase in strength. Copyright © 2000 John Wiley & Sons, Ltd.
Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation

Deep-learning methods for auto-segmenting brain images either segment one slice of the image (2D), five consecutive slices of the image (2.5D), or an entire volume of the image (3D). Whether one approach is superior for auto-segmenting brain images is not known. We compared these three approaches (3D, 2.5D, and 2D) across three auto-segmentation models (capsule networks, UNets, and nnUNets) to segment brain structures. We used 3430 brain MRIs, acquired in a multi-institutional study, to train and test our models. We used the following performance metrics: segmentation accuracy, performance with limited training data, required computational memory, and computational speed during training and deployment. 3D, 2.5D, and 2D approaches respectively gave the highest to lowest Dice scores across all models. 3D models maintained higher Dice scores when the training set size was decreased from 3199 MRIs down to 60 MRIs. 3D models converged 20% to 40% faster during training and were 30% to 50% faster during deployment. However, 3D models require 20 times more computational memory compared to 2.5D or 2D models. This study showed that 3D models are more accurate, maintain better performance with limited training data, and are faster to train and deploy compared. However, 3D models require more computational memory compared to 2.5D or 2D models.
The Underexplored Landscape of Hypoxia-Inducible Factor 2 Alpha and Potential Roles in Tumor Macrophages: A Review

Low tissue oxygenation, termed hypoxia, is a characteristic of solid tumors with negative consequences. Tumor-associated macrophages (TAMs) accumulate in hypoxic tumor regions and correlate with worse outcomes in cancer patients across several tumor types. Thus, the molecular mechanism in which macrophages respond to low oxygen tension has been increasingly investigated in the last decade. Hypoxia stabilizes a group of hypoxia-inducible transcription factors (HIFs) reported to drive transcriptional programs involved in cell survival, metabolism, and angiogenesis. Though both tumor macrophage HIF-1α and HIF-2α correlate with unfavorable tumor microenvironments, most research focuses on HIF-1α as the master regulator of hypoxia signaling, because HIF-1α expression was originally identified in several cancer types and correlates with worse outcome in cancer patients. The relative contribution of each HIFα subunit to cell phenotypes is poorly understood especially in TAMs. Once thought to have overlapping roles, recent investigation of macrophage HIF-2α has demonstrated a diverse function from HIF-1α. Little work has been published on the differential role of hypoxia-dependent macrophage HIF-2α when compared to HIF-1α in the context of tumor biology. This review highlights cellular HIF-2α functions and emphasizes the gap in research investigating oxygen-dependent functions of tumor macrophage HIF-2α.
Ultraviolet interstellar absorption toward stars in the Small Magellanic Cloud. III - The structure and kinematics of the Small Magellanic Cloud

The structure and kinematical properties of the Small Magellanic Cloud (SMC) are investigated by combining ultraviolet data obtained from the International Ultraviolet Explorer (IUE) satellite with existing optical and radio data. The SMC structure is complicated, undoubtedly a result of gravitational interaction with the Milky Way and the Large Magellanic Cloud, and is poorly understood. It has been known for some time that most of the H I in the SMC is concentrated in two complexes at velocities of approximately 134 and 167 km s/sup -1/ (heliocentric). Recent 21 cm emission surveys have revealed two additional, widespread H I components at approx.100 and approx.200 km s/sup -1/. With the radio data alone, however, the relative line-of-sight locations of those complexes cannot be determined, nor can the associations of stars with the complexes be deduced. By using the ultraviolet interstellar absorption-line data in conjunction with radio and optical data, the stellar-interstellar kinematical and morphological relationships can be established. We find that in the southwest region of the SMC, most of the stars observed by IUE, including a group with only low-dispersion IUE spectra, are associated with the 134 km s/sup -1/ H I complex.
Physical Activity among Nepalese Teachers; the Perspective of Role Modeling

Physical activity is any form of involvement in exercise or movement of the body that uses energy. Teachers also need an appropriate amount of physical activity because they are observed by their students in many ways, including their exercise behavior and fitness. Although an adult requires a minimum of 150 minutes (or at least 3 days) of additional physical activity in a week, this study shows that the sampled teachers were not in this mark. This cross-sectional survey of 344 teachers in 46 secondary schools in Bagmati Province of Nepal found the physical activity behavior among Nepalese teachers with the perspective of role modeling for health promotion. It has been argued that teachers who have average healthy behaviors and lifestyles with respect to physical activity neither make them healthier nor contribute to the creation of healthy role models in schools. The age and gender of the teacher were found to determine the degree of physical activity. More than two-thirds of her teachers were not reaching the recommended weekly physical activity level. More than two-fifths of the teachers did not receive training once a week. Physical activity among the teachers was recommended to present them as healthy role models.
Hsp90 Gene Is Required for Mi-1-Mediated Resistance of Tomato to the Whitefly Bemisia tabaci

The Mi-1 gene of tomato (Solanum lycopersicum) confers resistance against some nematodes and insects, but the resistance mechanisms differ depending on the harmful organism, as a hypersensitive reaction (HR) occurs only in the case of nematodes. The gene Rme1 is required for Mi-1-mediated resistance to nematodes, aphids, and whiteflies, and several additional proteins also play a role in this resistance. Among them, the involvement of the chaperone HSP90 has been demonstrated in Mi-1-mediated resistance for aphids and nematodes, but not for whiteflies. In this work, we studied the implication of the Hsp90 gene in the Mi-1 resistance against the whitefly Bemisia tabaci by means of Tobacco rattle virus (TRV)-based virus-induced gene silencing (VIGS). The silencing of the Hsp90 gene in tomato Motelle plants carrying the Mi-1 gene resulted in a decrease in resistance to whiteflies, as oviposition values were significantly higher than those on non-silenced plants. This decrease in resistance was equivalent to that caused by the silencing of the Mi-1 gene itself. Infiltration with the control TRV vector did not alter Mi-1 mediated resistance to B. tabaci. Similar to the Mi-1 gene, silencing of Hsp90-1 occurs partially, as silenced plants showed a significant but not complete suppression of gene expression. Thus, our results demonstrate the requirement of Hsp90 in the Mi-1-mediated resistance to B. tabaci and reinforce the hypothesis of a common model for this resistance to nematodes and insects.
Identification of known voices as a function of familiarity and narrow‐band coding

Tape recordings of 24 speakers conversing over an unprocessed channel and over an LPC voice processing system were subjected to listening tests. The listeners were 24 co‐workers who attempted to identify each speaker from a group of about 40 people working in the same branch. Prior to the recognition test, each of the listeners also rated his or her familiarity with each of the speakers and the distinctiveness of each speaker’s voice. There was some loss in voice recognition over LPC, but the recognition accuracy was still quite high (69% vs 88% for unprocessed voices), suggesting that frequently voiced concerns about speaker recognition over narrow‐band voice communication systems may not be justified. Talker familiarity was significantly correlated with correct identifications. There was no significant correlation between the rated distinctiveness of the speaker and correct identifications. However, familiarity and distinctiveness ratings were highly correlated. This suggests that people consider a fami.
Deposition of Mass, Momentum, and Energy by Massive Stars into the Interstellar Medium

Models for the integrated output of mass, momentum, and energy from a population of massive stars are presented. We computed an extensive grid of radiatively wind models for hot stars and derived scaling relations for the mass-loss rates and wind velocities as a function of stellar parameters, including the metal abundance. It is found that the mass-loss rate scales with metal abundance like M∞Z 0.8 . These wind models are combined with empirical stellar-wind data of other stellar types to obtain predictions for mass-loss rates and wind velocities in the entire upper Hertzsprung-Russell diagram
A Photometric Study of the Near-Contact Binary WY Tauri

CCD photometric observations for the eclipsing binary WY Tauri are firstly presented. Three new minimum timings in 2006 and 2008 have been determined. Using Wilson–Devinney binary code, the photometric solution was simultaneously deduced from VR light curves. Photometric results indicate that WY Tau is a semi-detached binary, whose secondary component fills its Roche lobe. The mass ratio and orbital inclination are q = 0.508(˙0.006) and
Low-mass stars. I - Flash-driven luminosity and radius variations. II - The core mass-luminosity relations. III - Low-mass stars with steady mass loss - Up to the asymptotic giant branch and through the final thermal pulses

Etude des consequences potentielles et observables de flashes de l'enveloppe d'helium d'etoiles de faible masse, de faible metallicite (Z=0,001) et de metallicite d'ordre solaire (Z=0,02). On a obtenu les courbes de lumiere et de rayon tout au long du cycle du flash. Ceci permet d'etudier l'instabilite de l'enveloppe et l'ejection de masse
Free boundary resistive modes in tokamaks

There exist a number of observations of magnetohydrodynamic (MHD) activity that can be related to resistive MHD modes localized near the plasma boundary. To study the stability of these modes, a free boundary description of the plasma is essential. The resistive plasma–vacuum boundary conditions have been implemented in the fully toroidal resistive spectral code castor (Complex Alfven Spectrum in Toroidal Geometry) [Proceedings of the 18th Conference on Controlled Fusion and Plasma Physics, Berlin, edited by P. Bachmann and D. C. Robinson (European Physical Society, Petit‐Lancy, Switzerland, 1991), p. 89]. The influence of a free boundary, as compared to a fixed boundary on the stability of low‐m tearing modes, is studied. It is found that the stabilizing (toroidal) effect of a finite pressure due the plasma compression is lost in the free boundary case for modes localized near the boundary. Since the stabilization due to the favorable average curvature in combination with a pressure gradient near the bou.
Comparison methods for queues and other stochastic models

Studies stochastic models of queueing, reliability, inventory, and sequencing in which random influences are considered. One stochastic mode--rl is approximated by another that is simpler in structure or about which simpler assumptions can be made. After general results on comparison properties of random variables and stochastic processes are given, the properties are illustrated by application to various queueing models and questions in experimental design, renewal and reliability theory, PERT networks and branching processes.