Miracle-dz/UniFAR-FTUs huggingface dataset:
The Importance of Organizational Agility to Improve Performance: Evidence from the Hotel Industry in the Post-Covid-19 Era

The hospitality industry is one of the industries that has experienced the hardest hit by the COVID-19 pandemic, such as a drastic drop in visitor levels and closed businesses. Despite the importance of organizational agility in the hospitality industry during post-pandemic recovery, there has been rare research on organizational agility in the hotel industry, especially in Indonesia. The research analyzed the effect of organizational agility on organizational performance through competitive advantage and organizational culture as mediating variables in hotels in Indonesia. The research sample was 76 hotels that consist of three-to-five-star hotels in Indonesia. The analysis was conducted using the Structural Equation Modeling (SEM) analysis method through smart Partial Least Square (PLS) software to test the research hypothesis. The results indicate that organizational agility has an important role in increasing organizational performance. Organizational agility has a significant and positive impact on organizational performance in hospitality in Indonesia, with a competitive advantage and organizational culture as mediating variables. The research helps management to understand the importance of having organizational agility in a company to deal with uncertain conditions. The findings also help management not only focus on quality but also on how companies can meet customer needs, create competitiveness, take risks, innovate, and increase profitability to improve organizational performance.
Traffic Accident Analysis of Sun Glare and Twilight Shortly Before and after Sunset in Chiba Prefecture, Japan

Traffic accidents shortly before and after sunset in Chiba were analyzed. The rate of traffic accidents shortly after sunset was found to be higher than at any other time, whereas the rate shortly before sunset was found to be lower. Traffic accidents caused by sun glare tended not to occur shortly before sunset, because the presence of topographic features meant that the sun had already effectively set. The rate of pedestrian accidents shortly after sunset was higher than that of any other time; the rate shortly before sunset was slightly lower than in day and shortly after sunset, because it was not dark and drivers were not dazzled by sun glare before sunset. However, it is already the case that many vehicle headlights are on shortly after sunset, so it is difficult to decrease pedestrian accidents only by advising drivers to use their lights in the hour before sunset.
Restrictions to the application of ‘diagnostic’ criteria for recognizing ancient seismites

Abstract Soft-sediment deformation structures induced by seismic liquefaction and/or fluidization receive much attention in sedimentological, structural and palaeoseismic studies. The direct record of larger earthquakes is restricted to instrumental and historical data; the recognition of prehistoric earthquakes requires criteria to recognize seismites in the geological record. The areal distribution of seismites can sometimes be related to active faults since distances to the epicenter (for a given magnitude) tend to be related to the liquefaction effects of seismic shocks. The use of soft-sediment deformation structures for palaeoseismic studies has limitations, however. Hardly anything is known, for instance, about the effects that modern seismic events have on the sediments in most environments. Moreover, criteria for the recognition of seismites are still under discussion. The following characteristics seem, particularly in combination, the most reliable: (1) Soft-sediment deformation structures should occur in laterally continuous, preferably recurring horizons, separated by undeformed beds; (2) These deformation structures should be comparable with structures known to have been triggered by modern seismic activity; (3) The sedimentary basin should have experienced tectonic activity at the time when the deformations were formed; and (4) The intensity or abundance of the soft-sediment deformation structures in a presumed seismite should change laterally, depending on the distance to the epicenter. It turns out that all of these four criteria have important exceptions. (1) Soft-sediment deformation structures occurring over large lateral distances in a specific layer can be triggered also by other processes. Moreover, in environments with a low sedimentation rate, the time between successive earthquakes is often too short to allow accumulation of beds that remain undisturbed. Furthermore, total liquefaction of a sandy bed may result in the absence of deformation features. (2) No truly diagnostic soft-sediment deformation structures exist to prove seismic activity. Moreover, the final configuration of a soft-sediment deformation structure is independent of the type of trigger. (3) Seismites occur frequently in areas where seismic activity is low today. (4) The lateral changes in the intensity of soft-sediment deformation structures in seismites as a factor presumed to depend on the distances to the epicenter, pose a complicated problem. The 2012 Emilia earthquakes, for instance, affected sandy fluvial channels but not the fine-grained floodplains. It must thus be deduced that specific soft-sediment deformation structures cannot be used without additional evidence to identify seismites. In particular, the magnitude of seismic shocks and the recurrence time of main events (the most important features that allow recognition of seismites) seem to be sedimentological in nature: facies changes in space and time seem the parameters that most strongly control the occurrence, morphology, lateral extent and the vertical repetition of seismites.
The protective eﬀect and potential mechanism analysis of Fomitopsis pinicola mycelia polysaccharides (FPMPS) on acute alcoholic liver injury in mice

Fomitopsis pinicola is a medicinal fungus in basidiomycetes with a wide range of medicinal properties, including anti-cancer, anti-inﬂammatory, anti-diabetic, and anti-obesity properties. In this study, the protective eﬀect of F. pinicola mycelia polysaccharides (FPMPS) against alcohol-induced injury was assessed using serum biochemical indices and hepatic and cecal morphology. Moreover, the potential mechanisms of action of FPMPS against acute alcohol-induced liver injury in vivo were investigated using gut microbiota and transcriptome analysis. The result showed that FPMPS modulated alcohol metabolism, restored serum lipid levels, and maintained hepatic and cecal morphology. FPMPS ameliorated gut microbial disorders caused by alcohol to protect the liver. In addition, FPMPS regulated retinol metabolism, bile secretion, inﬂammatory mediator regulation of TRP channels, and the PI3K-Akt signaling pathway to relieve acute alcoholic liver injury. In addition, the retinol metabolic pathway plays an important role in the preventive eﬀects of FPMPS against alcoholic liver injury. Therefore, FPMPS can be used as a potential new drug for the prevention of acute alcohol-induced liver injury and as a health food with auxiliary functions.
Unraveling the hypoxia modulating potential of VEGF family genes in pan-cancer

Tumor hypoxia, oxygen deprivation state, occurs in most cancers and promotes angiogenesis, enhancing the potential for metastasis. The vascular endothelial growth factor (VEGF) family genes play crucial roles in tumorigenesis by promoting angiogenesis. To investigate the malignant processes triggered by hypoxia-induced angiogenesis across pan-cancers, we comprehensively analyzed the relationships between the expression of VEGF family genes and hypoxic microenvironment based on integrated bioinformatics methods. Our results suggest that the expression of VEGF family genes differs significantly among various cancers, highlighting their heterogeneity effect on human cancers. Across the 33 cancers, VEGFB and VEGFD showed the highest and lowest expression levels, respectively. The survival analysis showed that VEGFA and placental growth factor (PGF) were correlated with poor prognosis in many cancers, including kidney renal cell and liver hepatocellular carcinoma. VEGFC expression was positively correlated with glioma and stomach cancer. VEGFA and PGF showed distinct positive correlations with hypoxia scores in most cancers, indicating a potential correlation with tumor aggressiveness. The expression of miRNAs targeting VEGF family genes, including hsa-miR-130b-5p and hsa-miR-940, was positively correlated with hypoxia. In immune subtypes analysis, VEGFC was highly expressed in C3 (inflammatory) and C6 (transforming growth factor β dominant) across various cancers, indicating its potential role as a tumor promotor. VEGFC expression exhibited positive correlations with immune infiltration scores, suggesting low tumor purity. High expression of VEGFA and VEGFC showed favorable responses to various drugs, including BLU-667, which abrogates RET signaling, an oncogenic driver in liver and thyroid cancers. Our findings suggest potential roles of VEGF family genes in malignant processes related with hypoxia-induced angiogenesis.
EEG SIGNAL ANALYSIS FOR MENTAL STRESS CLASSIFICATION: A REVIEW

Mental stress has been considered an important issue nowadays. Prolonged stress may lead to many severe diseases like heart attack, diabetes, possible sudden death and mental disorder. The traditional technique of clinical detection and monitoring the stress are mainly based on questionnaires and interviews. However, due to their limitations and data handling obstacles, it is highly needed for more advanced techniques. Recently, many studies have focused to classify mental stress using physiological signals such as heart activity, brain activity, muscle activity, speech, and facial expressions. One way to collect the data from brain activity is using a non-invasive device named Electroencephalograph (EEG). This paper gives a brief introduction of EEG, followed by a comprehensive analysis of artifacts and their removal techniques. Two types of artifacts in EEG and their removal methods are being discussed along with the challenges, advantages, and different obstacles being faced by the experts. The possible machine learning (ML) and deep learning (DL) models for mental stress classification are also discussed. Further, future direction on the possible methods to enhance the accuracy of stress detection is discussed.
Data Science and AI Simulating driving behaviour using Inverse Reinforcement Learning

Currently research on self-driving vehicles is one of the most researched topics in artificial intelligence. Being able to generalize driving behaviour has shown to be a very challenging task. The need to define what “correct” driving behaviour is rests at the core of this challenge. With the increasing number of examples of how correct driving behaviour looks like it seems fitting to apply a technique that would utilize these examples. This is the core idea behind Inverse Reinforcement Learning (IRL). In this thesis demonstrations of correct driving behaviour are used to extract a reward structure that can be applied on every situation possible, even those which have not been observed yet. In this thesis it is proposed that IRL might be able to solve the challenges of creating a self-driving vehicle.
Formal Analysis of Non-profiled Deep-learning Based Side-channel Attacks

This paper formally analyzes two major non-profiled deep-learning-based side-channel attacks (DL-SCAs): differential deep-learning analysis (DDLA) by Timon and collision DL-SCA by Staib and Moradi. These DL-SCAs leverage supervised learning in non-profiled scenarios. Although some intuitive descriptions of these DL-SCAs exist, their formal analyses have been rarely conducted yet, which makes it unclear why and when the attacks succeed and how the attack can be improved. In this paper, we provide the first information-theoretical analysis of DDLA. We reveal its relevance to the mutual information analysis (MIA), and then present three theorems stating some limitations and impossibility results of DDLA. Subsequently, we provide the first probability-theoretical analysis on collision DL-SCA. After presenting its formalization with a proposal of our distinguisher for collision DL-SCA, we prove its optimality. Namely, we prove that the collision DL-SCA using our distinguisher theoretically maximizes the success rate if the neural network (NN) training is completely successful (namely, the NN completely imitates the true conditional probability distribution). Accordingly, we propose an improvement of the collision DL-SCA based on a dedicated NN architecture and a full-key recovery methodology using multiple neural distinguishers. Finally, we experimentally evaluate non-profiled (DL-)SCAs using a newly created dataset using publicly available first-order masked AES implementation. The existing public dataset of side-channel traces is insufficient to evaluate collision DL-SCAs due to a lack of sub-stantive side-channel traces for different key values. Our dataset enables a comprehensive evaluation of collision (DL-)SCAs, which clarifies the current situation of non-profiled (DL-)SCAs.
Atypical development of causal inference in autism inferred through a neurocomputational model

In everyday life, the brain processes a multitude of stimuli from the surrounding environment, requiring the integration of information from different sensory modalities to form a coherent perception. This process, known as multisensory integration, enhances the brain’s response to redundant congruent sensory cues. However, it is equally important for the brain to segregate sensory inputs from distinct events, to interact with and correctly perceive the multisensory environment. This problem the brain must face, known as the causal inference problem, is strictly related to multisensory integration. It is widely recognized that the ability to integrate information from different senses emerges during the developmental period, as a function of our experience with multisensory stimuli. Consequently, multisensory integrative abilities are altered in individuals who have atypical experiences with cross-modal cues, such as those on the autistic spectrum. However, no research has been conducted on the developmental trajectories of causal inference and its relationship with experience thus far. Here, we used a neuro-computational model to simulate and investigate the development of causal inference in both typically developing children and those in the autistic spectrum. Our results indicate that higher exposure to cross-modal cues accelerates the acquisition of causal inference abilities, and a minimum level of experience with multisensory stimuli is required to develop fully mature behavior. We then simulated the altered developmental trajectory of causal inference in individuals with autism by assuming reduced multisensory experience during training. The results suggest that causal inference reaches complete maturity much later in these individuals compared to neurotypical individuals. Furthermore, we discuss the underlying neural mechanisms and network architecture involved in these processes, highlighting that the development of causal inference follows the evolution of the mechanisms subserving multisensory integration. Overall, this study provides a computational framework, unifying causal inference and multisensory integration, which allows us to suggest neural mechanisms and provide testable predictions about the development of such abilities in typically developed and autistic children.
The Protective Effects of Astaxanthin (AST) in the Liver of Weaned Piglets

Simple Summary Weaning is a period when young animals are exposed to a number of stressors caused by the separation from the sow, transport and handling, different food sources, a new social hierarchy, and different physical environments. This situation contributes to the generation of free radicals that cause oxidative stress. In weaned piglets, the most prominent disorders occur in the intestines, and their increased permeability can compromise liver function as metabolites migrate to the liver. Oxidative stress can lead to liver necrosis. Astaxanthin (AST) is a powerful carotenoid and antioxidant that can scavenge free radicals and protect cells from oxidative damage. Findings show that AST has a protective effect on the liver, reducing inflammation, lipid accumulation and markers of liver damage. It also inhibits insulin resistance and lipotoxicity-induced steatohepatitis and regulates fatty acid metabolism pathways. This study investigated the liver-protective properties of AST in weaned piglets. The study showed that AST reduces collagen content in liver tissue and affects the expression of specific genes related to liver function. Expression of CREB, NOTCH1 and NR1H3 genes decreased, while expression of the CYP7A1 gene increased. These findings underscore the beneficial effects of AST on liver health and suggest its potential as a protective agent against liver damage. Abstract During the weaning period, piglets are exposed to high levels of stress, which often causes problems with the digestive system. This stress also promotes the production of free radicals, resulting in oxidative stress. Astaxanthin (AST) stands out as one of the most potent antioxidants. Its resistance to light and heat makes it particularly valuable in compound feed production. This study was to determine the effect of AST impact on liver histology and gene expression in piglets. For our experiment, we used 16 weaned piglets of the PL breed, which we divided into two groups: Group I (control group with no AST supplementation) and Group II (supplemented with AST at 0.025 g/kg). Both feed mixtures were iso-proteins and iso-energetic, meeting the nutritional requirements of the piglets. The experiment lasted from day 35 to day 70 of the piglets’ age, during which they had ad libitum access. The results indicate that the addition of AST prevents liver fibrosis due to reduced collagen deposition in the tissue. Analysis of gene expression supported these results. In the AST-supplemented group, we noted a decrease in NR1H3 expression, an increase in CYP7A1 expression, and reductions in the expression of NOTCH1 and CREB genes.
Alimentación y estado nutricional de los niños en zonas palúdicas de Antioquia (Colombia)

Introducción: Malaria, parasitosis intestinales y desnutrición interactúan en los habitantes de zonas palúdicas, en particular en niños. Objetivo: Medir el estado nutricional de niños (4-10 años) con malaria y algunos aspectos del consumo alimentario familiar en dos zonas maláricas del departamento de Antioquia. Metodología: Estudio transversal en niños que consultaron por paludismo. Diseño muestral aleatorio. Resultados: A) Consumo alimentario familiar: 74% obtenían regularmente alimentos de criar animales menores, huerta casera o ambos; 17% recibían regularmente alimentos, dinero o ambos; consumo de alimentos fuentes de vitamina A (veces/semana): carnes-vísceras animales 1, leche y huevos 2-3 cada uno, frutas con provitamina A. Satisfacción alimentaria de requerimientos nutricionales familiares de fuentes de vitamina A: 55% (grado bajo-medio). B) Estado nutricional infantil: Riesgo de desnutrición: 52% crónica, 15% aguda; parásitos intestinales patógenos 80%; promedio de hemoglobina pretratamiento 10.3 gr/dL (6.39 mmol/L) y al día 30 en 11.8 gr/dL (7.32 mmol/L); promedio de retinol pretratamiento de 19.1 µg/dL (0.67 µmol/L) y al día 30 31.2 µg/dL (1.09 µmol/L). Conclusiones: La desnutrición crónica amenaza a ≥50% de los niños; esa frecuencia es 3-4 veces la encontrada en Colombia. No hubo asociación estadísticamente significativa entre estado nutricional y las variables asociadas a obtención-consumo alimentario. Quizás esta ausencia de relación se deba a que las variables usadas para medir estas condiciones no sean adecuadas o se hayan medido de manera inapropiada.
Comprehensive Profiling of Alternative Splicing and Alternative Polyadenylation during Fruit Ripening in Watermelon (Citrullus lanatus)

Fruit ripening is a highly complicated process that is accompanied by the formation of fruit quality. In recent years, a series of studies have demonstrated post-transcriptional control play important roles in fruit ripening and fruit quality formation. Till now, the post-transcriptional mechanisms for watermelon fruit ripening have not been comprehensively studied. In this study, we conducted PacBio single-molecule long-read sequencing to identify genome-wide alternative splicing (AS), alternative polyadenylation (APA) and long non-coding RNAs (lncRNAs) in watermelon fruit. In total, 6,921,295 error-corrected and mapped full-length non-chimeric (FLNC) reads were obtained. Notably, more than 42,285 distinct splicing isoforms were derived from 5,891,183 intron-containing full-length FLNC reads, including a large number of AS events associated with fruit ripening. In addition, we characterized 21,506 polyadenylation sites from 11,611 genes, 8703 of which have APA sites. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that fructose and mannose metabolism, starch and sucrose metabolism and carotenoid biosynthesis were both enriched in genes undergoing AS and APA. These results suggest that post-transcriptional regulation might potentially have a key role in regulation of fruit ripening in watermelon. Taken together, our comprehensive PacBio long-read sequencing results offer a valuable resource for watermelon research, and provide new insights into the molecular mechanisms underlying the complex regulatory networks of watermelon fruit ripening.
Favorable Attitudes Toward Research in Nursing Students During Internship: A Cross-Sectional Study in Peru

Introduction and objective Research attitudes among nursing students are essential to improve the quality of care and promote evidence-based practice. The objective of this study was to determine the attitude towards research of nursing students during their undergraduate internship and explore the demographic and study-related factors that may affect these attitudes. Materials and Methods In this cross-sectional retrospective study, 100 nursing interns who are >18 years old, currently studying and working, and have a prior academic background were included. To assess the attitudes toward research, the 43-item Likert-like Scale of Attitudes Towards Research questionnaire was used, which has been previously validated in the Peruvian population and includes three distinct dimensions: affective, cognitive, and behavioral. Results The mean age was 28.7 ± 5.2 years and 88% were women. Fifty percent had favorable attitudes toward research. The favorable attitude according to the affective, cognitive, and behavioral dimensions was 28%, 11%, and 45%, respectively. Although the youngest age group (20 to 30 years old) had the highest frequency of favorable attitudes (36%), no significant differences were found when compared to other age groups (p = .082). Conclusions Nursing students presented favorable attitudes toward research during their undergraduate internship, especially among young students. However, more research is needed to understand how these attitudes are shaped and consolidated during the research process and how they can be further improved to promote evidence-based practice in nursing.