Miracle-dz/UniFAR-FTUs huggingface dataset:
Hand Hygiene Practices among Healthcare Professionals based on Theory of Planned Behaviour during Corona Pandemic in Pakistan.

Introduction: In the time of novel corona virus pandemic, the improper hygiene practices have significantly associated with high incidence rate of this dreadful disease spread. Theory of planned behavior is the best cognitive model to understand healthcare professional’s adherence toward hand hygiene practices. Objective: To evaluate the awareness, professional attitude and practices of health care professionals in relation to theory of planned behaviour during COVID-19.Methodology: We studied health care professionals visiting a health care facility. Systematic random sampling method was adapted for data collection with 384 sample size. Awareness, professional attitudes and practices were calculated and using theory of planned behavior, behavioral beliefs, normative beliefs and control beliefs were accessed. Results: In term of awareness and practices more than 70% of professionals were more prospective to follow hygiene of hands. However, using theory of planned behavior 70.1% of healthcare professionals were more into following hand hygiene practices but insisted to be more followed by their seniors and management.Conclusion: During COVID-19 pandemic, behavioral beliefs are strongly responsible to develop adherence toward hygiene, but such compliance is more motivated by peers, disease outbreak and self-efficacy rather than effect of hygiene itself. Awareness through workshops could be helpful to increase likelihood of compliance of hand washing practices. Keywords: Hand hygiene, normative beliefs, behavioral beliefs, control beliefs, COVID-19.
Short-term Passenger Flow Prediction for Hangzhou Metro based on Machine Learning Algorithms

Subways have now reached an irreplaceable position in urban rail transportation. The aggregation of people choosing subway travel at the same time can easily lead to passenger congestion, so predicting passenger flow in advance is crucial. This study used LSTM (Long Short-Term Memory) as the data prediction model to forecast the card-swiping data of the Hangzhou subway for 10 consecutive days. The historical data was divided into intervals of 3 minutes, and the random forest was used to compare the correlation among features. The final prediction results showed that both the inbound and outbound flows exhibited a bimodal pattern on weekdays, while on holidays, the prediction results showed a bimodal pattern. Furthermore, by adjusting the parameters appropriately, the simulated trends closely matched the actual values, indicating the applicability of LSTM in simulating short-term passenger flow. Accurate prediction of passenger flow can enable more comprehensive management of the subway system and provide passengers with a higher-quality service experience and travel options.
Integrated analysis reveals crosstalk between pyroptosis and immune regulation in renal fibrosis

Purpose The pathogenesis of renal fibrosis (RF) involves intricate interactions between profibrotic processes and immune responses. This study aimed to explore the potential involvement of the pyroptosis signaling pathway in immune microenvironment regulation within the context of RF. Through comprehensive bioinformatics analysis and experimental validation, we investigated the influence of pyroptosis on the immune landscape in RF. Methods We obtained RNA-seq datasets from Gene Expression Omnibus (GEO) databases and identified Pyroptosis-Associated Regulators (PARs) through literature reviews. Systematic evaluation of alterations in 27 PARs was performed in RF and normal kidney samples, followed by relevant functional analyses. Unsupervised cluster analysis revealed distinct pyroptosis modification patterns. Using single-sample gene set enrichment analysis (ssGSEA), we examined the correlation between pyroptosis and immune infiltration. Hub regulators were identified via weighted gene coexpression network analysis (WGCNA) and further validated in a single-cell RNA-seq dataset. We also established a unilateral ureteral obstruction-induced RF mouse model to verify the expression of key regulators at the mRNA and protein levels. Results Our comprehensive analysis revealed altered expression of 19 PARs in RF samples compared to normal samples. Five hub regulators, namely PYCARD, CASP1, AIM2, NOD2, and CASP9, exhibited potential as biomarkers for RF. Based on these regulators, a classifier capable of distinguishing normal samples from RF samples was developed. Furthermore, we identified correlations between immune features and PARs expression, with PYCARD positively associated with regulatory T cells abundance in fibrotic tissues. Unsupervised clustering of RF samples yielded two distinct subtypes (Subtype A and Subtype B), with Subtype B characterized by active immune responses against RF. Subsequent WGCNA analysis identified PYCARD, CASP1, and NOD2 as hub PARs in the pyroptosis modification patterns. Single-cell level validation confirmed PYCARD expression in myofibroblasts, implicating its significance in the stress response of myofibroblasts to injury. In vivo experimental validation further demonstrated elevated PYCARD expression in RF, accompanied by infiltration of Foxp3+ regulatory T cells. Conclusions Our findings suggest that pyroptosis plays a pivotal role in orchestrating the immune microenvironment of RF. This study provides valuable insights into the pathogenesis of RF and highlights potential targets for future therapeutic interventions.
Re-conceptualising the host : the role of broker-host networks in the ordering of tourism.

As a concept deeply embedded in social and cultural practice, the host-guest relationship has been identified as a key paradigm in tourism research, where the relationship has traditionally been seen as an unbalanced binary involving powerful tourists and disempowered locals. More recently, the value of the concept of host has been challenged in the context of increased global mobility and commercialised relationships between tourists, industry providers and local communities. Despite this, it remains a key sensitising concept in our thinking about hospitality and tourism. As such, it is still regularly, and perhaps sometimes uncritically, employed in the literature in association with other concepts, including ‘community’, to express relationships between tourism producers and consumers, and ‘stakeholder’ when the context relates to relationships of policy and practice involved in the production of tourism. This study contributes to tourism theory through a re-conceptualization of the role of host in light of postmodern developments in tourism and hospitality research, focusing on the processes of mediation between different actors which shape the way tourism is created and performed. It uses actor-network theory (ANT), to investigate the often-overlooked role of various categories of brokers, formal and informal, human and non-human, who operate within and around tourism. Developing the concept of broker-host networks, it examines two key areas of association: the multiplicity of people and organisations providing and using tourism services, and the hybrid environments in which these operate, using a case study design with an empirical focus on an established international and domestic tourism destination in North Wales. The narrative storylines show ways in which the broker-host concept is capable of generating questions about how tourism networks and tourism places travel through the formal structures of tourism policy, enrolling human and non-human actors which together perform the role of host on the ‘backstage’ of tourism.
Occurrence, human exposure and dynamics of phthalates in ACMV indoor environments : method development and field studies

VII List of publications . VIII List of tables . X List of figures . XI List of important symbols . XIII List of abbreviations . XIV Chapter 1. Introduction . 1 1.1. Problem statement . 1 1.2. Objectives . 4 1.3. Dissertation overview . 4 Chapter 2. Literature review . 7 2.1. -Production, application and sources of phthalates . 7 2.1.1. Production . 7 2.1.2. Application . 7 2.1.3. Indoor Sources . 8 2.2. Human health risk of phthalates . 9 2.3. Physicochemical properties of phthalates . 10 2.4. Sampling and analysis of airborne phthalates . 12 2.4. 1. Sampling methods . 16 2.4. 2. Extraction methods . 20
Combined Oral Contraceptives (COCs) Management on symptoms of Polycystic Ovary Syndrom: A Systematic Review

Polycystic Ovary Syndrom (PCOS) has been proved could affect the health of reproductive-aged patients from the physically and emotionally, becoming a major concern of international public health. Meanwhile, PCOS is considered as associated with various severe symptoms, among which infertility is the most of those. The literature argues combined oral contraceptives (COCs) are the first-line treatment modality for PCOS. However, the link between COCs and the symptoms management of PCOS should be bridged. Purpose: This study aims to conduct a systematic review to evaluate the impact of intaking COCs on the management of all relevant symptoms. Method: This review will adhere to the JBI SUMARI guidelines for systematic reviews, and the search method is built to give access to both published and unpublished research. For searching recently released publications, databases like CINAHL plus (EBSCOhost), PubMed, Ovid Emcare, Ovid MEDLINE, and Scopus (Elsevier) are available. Quantitative studies published in English within the last 10 years are intended to be included in the system review. Outcomes: The outcome will present a clear proof between COCs treatment and PCOS symptoms management, including hirsutism, acne, menstrual irregularity and infertility. It could be as the evidence for surgical nurse provide further interventions, which are more tailored and effective, for specific PCOS patients.
Data generation using generative adversarial networks to increase data volume

The article is an in-depth analysis of two leading approaches in the field of generative modeling: generative adversarial networks (GANs) and the pixel-to-pixel (Pix2Pix) image translation model. Given the growing interest in automation and improved image processing, the authors focus on the key operating principles of each model, analyzing their unique characteristics and features. The article also explores in detail the various applications of these approaches, highlighting their impact on modern research in computer vision and artificial intelligence. The purpose of the study is to provide readers with a scientific understanding of the effectiveness and potential of each of the models, and to highlight the opportunities and limitations of their application. The authors strive not only to cover the technical aspects of the models, but also to provide a broad overview of their impact on various industries, including medicine, the arts, and solving real-world problems in image processing. In addition, we have identified prospects for the use of these technologies in various fields, such as medicine, design, art, entertainment, and in unmanned aerial vehicle systems. The ability of GANs and Pix2Pix to adapt to a variety of tasks and produce high-quality results opens up broad prospects for industry and research.
Understanding the controlling effects of rock matrix-fracture interactions on the evolution of rock permeability

I TABLE OF CONTENTS . III LIST OF TABLES . VI LIST OF FIGURES . VII ACKNOWLEDGEMENTS . IX PUBLICATIONS ARISING FROM THIS THESIS . XI STATEMENT OF CANDIDATE CONTRIBUTION (%) . XIII CHAPTER
Cellular Distribution of Aquaporin 3, 7 and 9 in the Male Reproductive System: A Lesson from Bovine Study (Bos taurus)

The increasing incidence of male infertility in humans and animals creates the need to search for new factors that significantly affect the course of reproductive processes. Therefore, the aim of this study was to determine the temporospatial expression of aquaglyceroporins (AQP3, AQP7 and AQP9) in the bovine (Bos taurus) reproductive system using immunohistochemistry and Western blotting. The study also included morphological analysis and identification of GATA-4. In brief, in immature individuals, AQP3 and AQP7 were found in gonocytes. In reproductive bulls, AQP3 was observed in spermatocytes and spermatogonia, while AQP7 was visible in all germ cells and the Sertoli cells. AQP7 and AQP9 were detected in the Leydig cells. Along the entire epididymis of reproductive bulls, aquaglyceroporins were visible, among others, in basal cells (AQP3 and AQP7), in epididymal sperm (AQP7) and in the stereocilia of the principal cells (AQP9). In males of all ages, aquaglyceroporins were identified in the principal and basal cells of the vas deferens. An increase in the expression of AQP3 in the testis and cauda epididymis and a decrease in the abundance of AQP7 in the vas deferens with age were found. In conclusion, age-related changes in the expression and/or distribution patterns of AQP3, AQP7 and AQP9 indicate the involvement of these proteins in the normal development and course of male reproductive processes in cattle.
CLOP-hERG: The Contrastive Learning Optimized Pre-trained Model for Representation Learning in Predicting Drug-Induced hERG Channel Blockers

During drug development, ensuring that drug molecules do not block the hERG (human Ether-à-go-go-Related Gene) channel is critical. If this channel is blocked, it can cause many cardiovascular-related diseases. However, traditional experimental detection methods are expensive and time-consuming. In this work, we proposed a novel deep learning framework CLOP-hERG, that combines contrastive learning with the RoBERTa pre-trained model to predict whether drug molecules will block the hERG channel. We employed data augmentation techniques on molecular structures to ensure that our model can capture the multifaceted information of the molecules. Besides, we used a contrastive learning strategy to enable the model to learn meaningful molecular features from large unlabeled datasets. The RoBERTa pre-trained model played a pivotal role in this process, giving our model with a robust representational learning capability. The model, obtained through contrastive learning, was further fine-tuned to achieve high-precision prediction of hERG blockers. Through a series of experiments, we demonstrated the effectiveness of CLOP-hERG. This work provides a novel and effective strategy for predicting hERG blockers and provides some insights for other similar pharmaceutical tasks.
A New Approach of Feature Selection Technique for Improving Performance of the Supervisor Technique

Feature selection encompasses pinpointing a subsection of the most beneficial features that yields well suited results as the inventive entire set of features. A feature selection algorithm may be appraised from both the good organization and usefulness points of view. Although the good organization concerns the time necessary to discover a subsection of features, the usefulness is related to the excellence of the subsection of features. In this paper a fast clustering based feature Selection algorithm is proposed which removes redundant features by clustering and completely removes irrelevant features by statistical measures to select the most significant features from the dataset. The Proposed feature selection technique is compared with the existing techniques and the results obtained will demonstrate and prove the better performance.
Regional Controls on Climate and Weather Variability on the Southwest Coast of Peru

Southwestern Peru has an arid climate typical of subtropical west coasts bordering cold ocean currents. Mountain runoff is barely able to sustain urban needs and motivates this research. Using high-resolution satellite reanalysis products, the meso-scale climate and weather variability are explored via point-to-field regression. A time series spanning 1970–2022 of Tacna area (18 S, 70.2 W, 570 m) rainfall, potential evaporation, wind, and weather parameters were evaluated for thermodynamic and kinematic features. Although sea breezes draw marine air inland, they simultaneously generate low-level divergence and subsidence aloft. Potential evaporation in early summer causes water deficits that are rarely offset by late summer runoff from the Andes Mountains. Winter (May–September) showers from passing cold fronts are more frequent during El Niño. Warming of the tropical east Pacific accelerates subtropical westerly winds that lift over the coastal plains. Quasi-stationary Rossby wave patterns amplify transient troughs at 70 W, but the winter showers rarely exceed 4 mm/day due to low-level stability from negative heat fluxes over cool seawater offshore. Two winter wet spells were studied using satellite and surface data (July 2002, July 2009). Light showers were prominent in elevations from 400 to 900 m. An early summer dry spell was considered (November 2020), wherein southeast winds, coastal upwelling, and low dewpoint temperatures coincided with La Niña conditions. A rain-gauge transect showed that summer convection stays east of the Andes escarpment and seldom benefits the coastal plains. Thus, water resources in Tacna are strained beyond the carrying capacity.
Inhibitory Control Training for Anxiety and Math Achievement in Primary School Children: Protocol for a Proof-of-Concept Study

Background Cognitive control training (CCT) has shown potential to reduce emotional vulnerability in adults and adolescents. However, there is scant literature testing the efficacy of CCT for the reduction of anxiety and transferring the effects to educational outcomes in children. Building on the evidence that a greater ability to suppress a prepotent response (inhibitory control) is associated with higher math achievement in children, it is plausible that training inhibitory processes using a CCT paradigm may be beneficial for reducing anxiety, improving inhibitory control, and in turn increasing math achievement. Objective This proof-of-concept study aims to investigate the efficacy of 15 sessions of inhibitory control training for reduction in anxiety and improvement in math achievement in primary school children. Methods We will use a 2 (group: CCT, adaptive Go/No-Go vs active control, low-load task) multiplied by 4 (time: pre- vs posttraining vs 1-month vs 3-month follow-up) randomized design in a nonselected sample of 100 children aged 8-10 years. Both groups will complete 10 minutes of daily training for 3 weeks at school. The dependent variables will be anxiety and correlates (Spence Children’s Anxiety Scale, Penn State Worry Questionnaire for Children, Revised Children’s Anxiety and Depression Scale, Child Response Style Questionnaire, and Modified Abbreviated Math Anxiety Scale), inhibitory control (Go/No-Go task), shifting (color-shape shifting task), updating (n-back task), and math achievement (Applied Problems, Calculation, and Math Facts Fluency subtests from the Woodcock-Johnson IV Tests of Achievement). Results We opened enrollment in September 2023. The initial results are expected to be published in late 2024. We predict that children in the CCT group will show a reduction in emotional symptoms; improvements in inhibition, shifting, and updating performance; and advances in math achievement from pre- to posttraining, and that these effects will be maintained at 1- and 3-month follow-ups, compared to children in the active control group. Conclusions The CCT paradigm used in our study will provide a greater understanding of the emotional and cognitive transfer effects on children and inform future work. Specifically, the findings will advance the knowledge of deploying inhibitory control training with children and provide valuable insights into its use for reducing anxiety and advancing math achievement. Trial Registration Open Science Framework ofs.io/de2qa; https://doi.org/10.17605/OSF.IO/DE2QA International Registered Report Identifier (IRRID) PRR1-10.2196/52929
Homologizations of skull roofing bones between Tetrapods and osteolepiform fishes

Il est generalement admis que des relations constantes de positions existent entre les os dermiques et les structures endocrâniennes sous-jacentes des Tetrapodes et des Poissons osteolepiformes; elles constituent la base des principaux arguments des auteurs proposant les trois solutions suggerees concernant les homologies entre les os du dermocrâne medial de ces deux groupes. Cela est discute et critique. Il est montre qu'en rejetant cette affirmation, ces homologies sont aisement comprises. Les 5 os mediaux du dermocrâne, generalement presents et pairs chez les Tetrapodes (sauf si les postparietaux manquent) sont les memes 5 os mediaux presents chez les Osteolepiformes si nasaux et postfrontaux sont fusionnes. Les homologies des os du dermocrâne chez Ichthyostega et la position phylogenetique de cette forme sont discutees
Driverless Planning and Decision-Making based on GRU

In the wake of the swift advancement of artificial intelligence, driverless technology has progressively emerged as a revolutionary technology. The existing driverless technology primarily relies on advanced sensors, artificial intelligence and machine learning algorithms, with a view to perceiving and analyzing the surrounding environment in real time, and making driving decisions accordingly. At the present time, despite the fact that driverless technology has introduced a lot of convenience to human travel, it still encompasses a significant number of challenges, such as safety, perception technology, vehicle control, road planning, cost and other issues. In a similar vein, the safety issue is an unavoidable part of the discussion on the driverless. Driverless vehicles require robust system safety and protection mechanisms. This paper is designed to establish a data model by analyzing the NGSIM dataset, and to probe the driverless perception capability and decision-making on intelligence in behavior-aware motion perspective with GRU approach. Eventually, it was concluded that neither too many nor too few neighboring vehicles should be taken into account when forecasting the trajectory of each vehicle in the coming years, while the appropriate neighboring vehicles should be selected to achieve the best prediction results.
Stable Housekeeping Genes in Bone Marrow, Adipose Tissue, and Amniotic Membrane-Derived Mesenchymal Stromal Cells for Orthopedic Regenerative Medicine Approaches

The therapeutic effect of mesenchymal stromal cells (MSCs) has been described for a variety of disorders, including those affecting musculoskeletal tissues. In this context, the literature reports several data about the regenerative effectiveness of MSCs derived from bone marrow, adipose tissue, and an amniotic membrane (BMSCs, ASCs, and hAMSCs, respectively), either when expanded or when acting as clinical-grade biologic pillars of products used at the point of care. To date, there is no evidence about the superiority of one source over the others from a clinical perspective. Therefore, a reliable characterization of the tissue-specific MSC types is mandatory to identify the most effective treatment, especially when tailored to the target disease. Because molecular characterization is a crucial parameter for cell definition, the need for reliable normalizers as housekeeping genes (HKGs) is essential. In this report, the stability levels of five commonly used HKGs (ACTB, EF1A, GAPDH, RPLP0, and TBP) were sifted into BMSCs, ASCs, and hAMSCs. Adult and fetal/neonatal MSCs showed opposite HKG stability rankings. Moreover, by analyzing MSC types side-by-side, comparison-specific HKGs emerged. The effect of less performant HKG normalization was also demonstrated in genes coding for factors potentially involved in and predicting MSC therapeutic activity for osteoarthritis as a model musculoskeletal disorder, where the choice of the most appropriate normalizer had a higher impact on the donors rather than cell populations when compared side-by-side. In conclusion, this work confirms HKG source-specificity for MSCs and suggests the need for cell-type specific normalizers for cell source or condition-tailored gene expression studies.