Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of tourism and ecotourism development components in the development of rural women's entrepreneurship (case study: tourism villages of Kerman province)

The current research aims to identify the components of tourism and ecotourism activities in rural women's entrepreneurship based on the experts' point of view. In terms of the purpose, it was conducted as survey research. The current research is a descriptive and analytical study. According to the statistics obtained from the cultural heritage organization and the governorate of Kerman province in 2019, 370 are active in the �eld of tourism, and of these statistics, 219 women are active in the �eld of tourism and ecotourism, which was estimated to be 139 according to the Cochran formula. First, by reviewing the research literature, based on the opinion of experts, 32 factors have been extracted as the �nal factors of tourism and ecotourism on rural women entrepreneurs, which is the research tool of the questionnaire. The �ndings of the research showed that there is a signi�cant relationship between the expansion of rural tourism and ecotourism in these villages and the entrepreneurship of rural women in the dimensions of knowledge and awareness, management capabilities, environmental and economic factors, advertising and psychological factors at the alpha level of 0.05 percent. There is no signi�cant relationship between social norms and rural women's entrepreneurship. According to the results obtained from the factor analysis model and obtaining the points or factor load of each of the indicators, 6 interrelated indicators have an effect on the �rst effective factor on tourism entrepreneurship. Cultural factors such as "gender norms" are the most important factors
Macrophage-Inducible C-Type Lectin Signaling Exacerbates Acetaminophen-Induced Liver Injury by Promoting Kupffer Cell Activation in Mice s

Overdose of acetaminophen (APAP) has become one of the most frequent causes of acute liver failure. Macrophage-inducible C-type lectin (Mincle) acts as a key moderator in immune responses by recognizing spliceosome-associated protein 130 (SAP130), which is an endogenous ligand released by necrotic cells. This study aims to explore the function of Mincle in APAP-induced hepatotoxicity. Wild-type (WT) and Mincle knockout (KO) mice were used to induce acute liver injury by injection of APAP. The hepatic expressions of Mincle, SAP130, and Mincle signaling intermediate (Syk) were markedly upregulated after the APAP challenge. Mincle KO mice showed attenuated injury in the liver, as shown by reduced pathologic lesions, decreased alanine aminotransferase and aspartate aminotransferase levels, downregulated levels of inflammatory cytokines, and decreased neutrophil infiltration. Consistently, inhibition of Syk signaling by GS9973 alleviated APAP hepatotoxicity. Most importantly, Kupffer cells (KCs) were found as the major cellular source of Mincle. The depletion of KCs abolished the detrimental role of Mincle, and the adoptive transfer of WT KC to Mincle KO mice partially reversed the hyporesponsiveness to hepatotoxicity induced by APAP. Furthermore, the expression levels of interleukin (IL)-1 b and neutrophil-attractant CXC chemokines were substantially lower in KCs isolated from APAP-treated Mincle KO mice compared with those from WT mice. Similar results were found in primary Mincle KO KCs treated with a ligand of Mincle (trehalose-6,6-dibehenate) or in conditioned media obtained from APAP-treated hepatocytes. Collectively, Mincle can regulate the inflammatory response of KCs, which is necessary for the complete progression of hepatotoxicity induced by APAP.
Seeking authenticity: Re-conceptualizing Adventure Tourism

Adventure tourism is often defined in terms of the perceived risk in the recreation activity undertaken. Yet researchers have noted that there are limitations in current definitions; specifically, many definitions that are centered on the perception of risk lack acknowledgement of the role of traveling to unfamiliar places, or the touristic factors that are at play. As such, the purpose of this paper is to explore the application of authenticity as a guiding framework for adventure tourism by recognizing that both adventure and tourism are historically rooted in the notion of escaping modernity and finding ones’ true self. Additionally, commodification of the setting and the experience are considered, with a particular focus on wilderness settings, are explored as they relate to a search for the authentic self. Conceptual and practical applications of a conceptualization of adventure within an authenticity framework are provided.
In�uencing factors of virus duration and virus clearance in COVID-19 patients in Shenzhen: A retrospective study.

Abstract Background. We aimed to analyze the in�uencing factors of virus duration and virus clearance in coronavirus disease 2019 (COVID-19) in Shenzhen, China, and to provide our experience in the treatment and management of COVID-19. Methods. The clinical data and laboratory test results of COVID-19 inpatients admitted to the Third People's
Follow-up in 22 Patients Artery: Medium-term Angiographic and Clinical Wide-necked Aneurysms of the Internal Carotid Balloon-assisted Coil Embolization of

BACKGROUND AND PURPOSE: The management of broad-necked cerebral aneurysms by Guglielmi detachable coils (GDCs) is technically challenging owing to a variety of factors, including difﬁculty in deﬁning the aneurysm/parent vessel interface angiographically and problems in achieving complete occlusion, later predisposing the aneurysm to regrowth/recanalization. We sought to determine whether the use of intraluminal balloons to remodel the parent vessel/aneurysm interface during GDC embolization would provide a safe means of improving the efﬁcacy of endovascular treatment of broad-necked aneurysms. METHODS: Twenty-two saccular aneurysms of the internal carotid artery were treated with GDCs by using balloon remodeling techniques. All aneurysms were characterized by wide necks or were small with unfavorable neck/fundus ratios and required balloon assistance for coil embolization. Patients were followed up both clinically and angiographically. RESULTS: By using a microcatheter-mounted nondetachable balloon to provide a temporary barrier across the aneurysmal neck, we were able to deploy GDCs safely within a variety of aneurysms. Among the 22 patients treated, aneurysmal occlusion on follow-up angiography (mean, 19 months) was found in 17 of 20 patients (two patients died and no follow-up studies were available). Observed or suspected thromboembolic events occurred in four of 22 patients, resulting in one permanent deﬁcit. Twenty of the 22 patients had good to excellent clinical outcomes. CONCLUSION: Although balloon-assisted coiling of cerebral aneurysms requires manipulation of a second microcatheter and an inﬂatable balloon, increasing its technical complexity, we believe that this method has utility in treating broad-necked aneurysms
(2022). Two Variations of Five-Level Hybrid-Clamped Converters and Their Voltage Balancing Control Using Three Degrees of Freedom. In IECON 2022 – 48th Annual

—This paper comprehensively utilizes three control freedoms, i.e., switching state selection, zero sequence injection(ZSI) and redundant level modulation(RLM), to maintain capacitor voltage balance in two five-level three-phase converters over the full range of modulation index and power factor. The calculation process of the proposed control method is explained in detail. This method is easy to implement and can be used in other multilevel converters. The first topology is proposed for the first time in this paper. The capacitor voltage controllable region of the second topology has been extended to full operation range without extra circuits. Voltage jumps are found during the deadtime. The performance of the proposed topology and control method is verified by simulation and experiment.
INTELLIGENT SYSTEM FOR THE AUTOMATIC DETECTION AND CONTROL OF ACCIDENTS ON THE ROAD IN REAL TIME

Accidents remain a serious public health problem nationally and globally. Our contribution is part of the development of an on-board system to identify accident sites in real time and provide assistance to people who have been exposed to a vehicle accident. This work is interested in the design and realization of a management and control system of road accidents based on IOT (Internet of Things) in the form of an on-board WEB server more efficient in terms of calculation created physically by an FPGA card (Field Programmable Gate Array) and an intelligent system installed in each vehicle based on Raspberry Pi allowing the following detection of sensors and alerting the server by SMS of accidents in real time. The latter transmits a request to the nearest ambulance or service concerned at that location in order to minimize the time required for the process of moving the ambulance (or the firefighter). It automatically and intelligently controls the traffic signal to facilitate the process of moving the ambulance and getting the ambulance to its destination in a short period of time.
Infected Pseudotumor in Total Hip Arthroplasty with Metal-on-Metal Friction Couple

Total hip arthroplasty (THA) is the main treatment for advanced hip osteoarthritis and its complications include dislocation, infection, aseptic loosening and, to a lesser extent, adverse reactions to metal. Pseudotumor is a rare complication of THA with a metal-on-metal friction couple; its diagnosis and treatment are extremely important to reduce morbidity and mortality. We present the case of a 63-year-old male patient with a 13-year history of THA with a metal-on-metal friction couple who, at the time of con-sultation, presented a large palpable mass in the right gluteus and paresthesias in the homolateral sciatic nerve. The diagnosis of an infected pseudotumor was reached and treated with hip revision and antibiotic therapy.
AN IMPROVED DEEPFAKE DETECTION METHOD BASED ON CNNS

Today's image generation technology can generate high-quality face images, and it isn't easy to recognize the authenticity of the generated images through human eyes. This study aims to improve deepfake detection, a face swapping forgery, by absorbing the advantages of deep learning technologies. This study generates a unified and enhanced data set from multiple sources using spatial enhancement technology to solve the problem of poor detection performance on cross-data sets. Taking the advantages of Inception and ResNet networks, new deepfake detection architecture composed of 20 network layers is proposed as the deepfake detection model. To further improve the proposed model, hyperparameter values are optimized. The experiment result shows that the proposed network significantly enhanced over the mainstream methods, such as ResNeXt50, ResNet101, XceptionNet, and VGG19, in terms of accuracy, loss value, AUC, numbers of parameters, and FLOPs. Overall, the methods introduced in this study can help to expand the data set, better detect deepfake contents, and effectively optimize network models.
Evaluating the zero-shot performance of three transformer models

Nowadays, we are surrounded by large amounts of information. It takes a lot of time to read and to get the main information from plenty of contents. In this situation, automatic summarization methods are useful. They could help people saving time and getting the key points quickly. Extractive summarization and abstractive summarization are the two ways to generate summaries. In this thesis, two representative models of the two ways are selected, which are the BART-large-cnn and PEGASUS-xsum models. For the model BART-large-cnn, it is designed as an abstractive model, but the result obtained by the model has an extractive form. Also, ChatGPT, being a recent hot product, plays well with summarization and it will be used for the same summarization tasks in this thesis. In this thesis, I investigate which of the three models is better for making summarization of reddit posts. I use the ROUGE metrics to measure the quality of the summarization model. However, the limit of ROUGE metric is that the score depends only on the common words, it may cause the content of the summary to be less in line with human’s ideological cognition, though this summary can be more representative of the original content. For future research, more other metrics should be used to evaluate the quality of the models.
Prevalence of and prognosis for poor immunological recovery by virally suppressed and aged HIV-infected patients

Background Antiretroviral therapy (ART) prolongs lifespan and decreases mortality of HIV infected patients. However, many patients do not achieve optimal immune reconstitution. The influence of non-optimal immune recovery on non-AIDS related diseases is not well defined in aged HIV-infected patients receiving ART. Methods A retrospective study was conducted at Tianjin Second People’s Hospital, China to evaluate the association of an inadequate immunological response and non-AIDS diseases in HIV infected patients ≥60 years of age and virally suppressed for at least 2 years by ART. Results The study included patients (n = 666) who initiated ART between August 2009 and December 2020. The prevalence of patients with an inadequate immunological response was 29.6%. The percentage of non-AIDS diseases such as hypertension, cardiovascular disease (CVD), diabetes, tumor, and chronic kidney disease (CKD) was 32.9, 9.9, 31, 4.1, and 13%, respectively. In addition to baseline CD4+ T cell counts, CVD and tumor were associated with poor immune reconstitution in aged Chinese HIV-1 infected patients. The adjusted odds ratios (95% confidence interval) were AOR 2.45 (95% CI: 1.22–4.93) and 3.06 (95% CI: 1.09–8.56, p = 0.03). Inadequate immunological response was associated with greater mortality (AOR: 2.83, 95% CI: 1.42–5.67, p = 0.003) in this cohort. Conclusion These results tend to demonstrate appropriate drug selection at ART initiation and prevention of non-AIDS complications during ART decreased mortality of and an inadequate immunological response in aged HIV infected patients.
Flash Blindness Recovery for Pilots in the Modern Cockpit

Intense light can cause flash blindness, a temporary visual impairment. We investigated how various factors influenced time to recover from flash blindness for a task resembling reading a cockpit heading display. Prior studies used only reflective displays while modern cockpits now include emissive displays, so recovery differences between display types were of interest as was the influence of ambient luminance level. Flash blindness recovery times ranged from five seconds to two minutes. Greater flash intensity and smaller (higher acuity) letters led to longer recoveries. For the reflective display, as ambient luminance increased, flash intensity had weaker influence on recovery times and recovery shortened overall. For the emissive display (white at 16 cd/m2) however, ambient luminance did not appreciably modulate recovery times. The reflective display was more advantageous for flash blindness recovery in high (100 cd/m2) ambient luminance and the emissive display was more advantageous in low (1 cd/m2) ambient luminance.
Posterior Inference of Differential Expression (DE) State and Evolutionary Distance

To address how gene regulation plays a key role in phenotypic innovations through high throughput transcriptomes, it is desirable to develop statistically-sound methods that enable researchers to study the pattern of transcriptome evolution. On the other hand, statistical detection of differentially expressed (DE) genes between two samples is probably the most common practice in the transcriptome analysis. In this paper, the author developed a new evolutionary approach, based on the genome-wide p - value profile arising from statistical testing of DE genes between species. First, the widely-used BUM (beta-uniform mixture) model for the genome-wide p -value distribution was invoked to calculate the posterior probability of a gene being DE denoted by Q = P ( DE|p ). Then the author develop a simple method to estimate the transcriptome distance for any number ( m ) of orthologous genes based on their Q -values. Computer simulations showed the statistical performance of these new methods are generally satisfactory.
COMPARATIVE STUDY FOR ANDRIOD MOBILE STATIC ANALYSIS ALGORITHMS

Recently, there has been a rapid increase in the use of smartphones, several of which are connected to the internet. Because of the data movement, malware attacks have enormously increased. Malware causes unexpected behavior in smartphones such as strange charges on your phone bill, invasive adverts, contacts receiving strange messages, poor performance, appearance of new applications, abnormal data consumption and noticeable reduction in battery life. Nonetheless, smartphone users remain unprotected from malware attacks. Thus, mobile antivirus applications have been developed to overcome this issue. Since android has established itself as the industry's dominant operating system for smartphones, many antivirus applications are available in the android play store. This paper presents a comparative study of android mobile static analysis. Static analysis is used to classify malware android Apps through meta data file of APK. Furthermore, we used TF-IDF feature extractor and investigate algorithms for static analysis, such as decision tree, naïve bayes, random Forest, K-nearest neighbor, XGB, MLP, support vector machine, logistic regression, adaboost, ,lasso regression, ride regression , ANN and extra trees. We use two datasets small and large “Drebin”. The results of small dataset show that Multi-layer perceptron (MLP) gives the best overall accuracy 98.84% but it takes the biggest execution time around 33.4 seconds and The results of large dataset show that Extra trees gives the best overall accuracy 99.48%.
SAT0564 Effects of education and income on prevalence, incidence, and progression of radiographic knee osteoarthritis: an analysis of the osteoarthritis initiative data

Background Low socioeconomic status (SES) is one of the strongest predictors of morbidity and mortality from many chronic diseases including cardiovascular diseases, obesity, and diabetes.1 There is insufficient data regarding impact of SES on knee osteoarthritis (OA). Objectives To evaluate the associations between education, income levels and prevalence, incidence, and progression of radiographic knee OA Methods For the current analysis we used data from the publically available Osteoarthritis Initiative (OAI) database. The education status of the participants was dichotomized into either low/moderate or high educational attainment. The income status was dichotomized using 50 K US threshold. A baseline sample was used to analyse the impact of SES on knee OA prevalence (prevalence sample). To evaluate the effects of SES on knee OA incidence and progression we analysed the samples of OAI participants with KL <2 at baseline (incidence sample) and OAI participants with JSN <3 at baseline (progression sample), respectively. We used logistic regression models to assess the association between SES and prevalence and incidence of radiographic knee OA (defined as KL2 and JSN or joint replacement), and disease progression (defined as increase in semiquantitative JSN or a new knee replacement). Generalised estimating equations (GEE) were used to adjust for the correlation between knees. The models were adjusted for multiple covariates including age, race, and body mass index. Results Prevalence, incidence, and progression samples consisted of 4371 participants (8741 knees), 2268 participants (4535 knees), and 3950 participants (4013 knees), respectively. Higher education attainment and higher income were associated with decreased prevalence of the knee OA in the crude analyses. After adjustment for confounders these associations became insignificant (Table). There was no effect of SES on incidence and progression of the knee OA. Table Prevalence Unadjusted Adjusted OR (95% CI) P value OR (95% CI) P value Education 0.8 (07–0,9) <0.001 1,05 (0,9–1,18) 0.48 Income 0.71 (0,64–0,8) <0.001 1 (0.87–1.4) 0.97 OR – odds ratio, CI – confidence interval Conclusions Higher levels of education and income are linked with decreased prevalence of radiographic knee OA. Lack of this association after adjustment suggests confounding or mediating effects of other risk factors. Future studies are needed to delineate the precise mechanisms of how SES impact knee OA. Reference [1] Braveman P, Gottlieb L. The social determinants of health: it’s time to consider the causes of the causes. Public Health Rep2014Jan-Feb;129(Suppl 2):19–31. Disclosure of Interest None declared
A Study to Find Out the Efficacy of Strip Immunoassay Test for Insulin Like Growth Factor Binding Protein-1 in Amniotic Fluid for Detection of Premature Rupture of Membranes

-Background: It is an obstetric conundrum which is poorly defined with an obscure etiology, difficulty in diagnosis, association with significant maternal and neonatal morbidity and mortality, with diverse and controversial management strategies. Aim and Objectives: To know the efficacy of strip immunoassay test in amniotic fluid for detection of premature rupture of membranes. Materials and Methods: A hospital based observational study carried out on 60 pregnant women attending emergency and OPD with complaints of leaking per vaginum. Strip immunoassay test was performed on all the participants along with a conventional method like ferning and the results obtained were analysed for calculating the diagnostic accuracy of the test.
Quality of Cold Plasma Treated Casein Peptide Targeting SARS-CoV2: An In-silico Approach (preprint)

Raw cow milk being a highly nutritive but its contamination is one of the factors that has to be considered. Thermal treatment is generally adopted for decontamination of milk but at the same time it degrades the protein quality. Hence, there is a need for new treatment method with least processing technology to maintain the food quality. These challenges forced the scientist to introduce non-thermal technologies. The objective of the present study to elucidate the effect of optimized set up for plasma bubbling on casein protein and peptide with respect to raw cow milk. Structural characterization of casein was done using FTIR. The casein protein hydrophobicity was maintained well and Mascot result revealed a non-detrimental effect to α-s1casein peptide upon the treatment. Specifically, casein peptides are good source of ACE inhibitory peptides. While, ACE2 receptor is responsible for binding of SARS-CoV2. Therefore, this study implemented on most effective ACE inhibitory peptide (RYLGY) which was observed in Mascot analysis, for both control and treated sample arising from peak at 1267m/z in MALDI-TOF of α-s1-casein. The peptide was considered for in-silico docking approach against SARS-CoV2. Interestingly, ACE2-RBD-peptide complex showed good binding score, suggesting that the peptide molecule disturbed the complex formation.