Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of Saroglitazar as an Add-on Therapy to Rosuvastatin in Patients with Diabetic Dyslipidemia– A Prospective, Single Centre, Observational Study in Indian Patients

Background: Diabetic dyslipidemia in type 2 diabetes mellitus is defined by elevated TG levels and decreased HDL-C levels, as well as elevated or normal LDL-C levels. In diabetic dyslipidemia, the addition of saroglitazar to statins may provide comprehensive control of lipid parameters as well as good glycemic control, particularly in patients with high TG levels that are not controlled by statins alone. Objective: To evaluate the effectiveness and safety profile of saroglitazar as an add-on therapy in patients with diabetic dyslipidemia already receiving rosuvastatin therapy. Methods: In this open-label, prospective, single-center, observational study, newly diagnosed DM patients were randomly assigned to one of two groups, Rosuvastatin only (R) or Rosuvastatin plus Saroglitazar (RS). Both groups received rosuvastatin for 12 weeks, after which group R received the same treatment for another 12 weeks, and group RS received saroglitazar 4mg in addition to rosuvastatin for another 12 weeks. At the end of 24 weeks, the primary outcome measured were changes in baseline lipid parameters total cholesterol, serum TG, LDL, VLDL, HDL, and glycemic parameter HbA1c between and within Group R and Group RS. Secondary outcomes included changes in metabolic parameters such as blood urea, serum creatinine, SGOT, SGPT, and CPK, as well as reported adverse events. These assessments were made for both Group R and Group RS at both the 12-week and 24-week. Result: When compared to Group R, patients in Group RS improved significantly in lipid parameters such as total cholesterol, serum TG, LDL, VLDL, HDL, and glycemic parameter HbA1c at the end of 24 weeks. Secondary outcomes revealed that Group RS had no significant side effects when compared to Group R, as evidenced by low fluctuations in renal and hepatic markers such as B. urea, S. Creatinine, SGOT, SGPT, and CPK levels over 24 weeks. As a result, the safety profiles of the combination treatment and rosuvastatin alone were comparable. Conclusion: Saroglitazar, when combined with rosuvastatin, was found to improve lipid and glycemic parameters in diabetic dyslipidemia patients who were already on rosuvastatin.
Prevalence of chronic kidney disease and metabolic related indicators in Mianzhu, Sichuan, China

Background Chronic kidney disease (CKD) is a major public health problem worldwide. Periodic surveys are essential for monitoring the prevalence of CKD and its risk factors. We assessed the prevalence of CKD and its risk factors in Mianzhu City in 2020. Method The Natural Population Cohort Study surveyed 7,770 individuals aged>20 years in Mianzhu City of Sichuan province in 2020. Our investigation encompassed the measurement of CKD prevalence, the evaluation of various renal function indicators, and comparisons based on age, gender, and hukou status. Additionally, some metabolic indices were also measured to identify the underlying causes of CKD. Results (1) Overall, the prevalence of reduced renal function (eGFR<60 mL/min/1.73m2), albuminuria, and CKD were 1.3, 10.0, and 10.4%, respectively, (2) the overall prevalence of CKD was higher among men than among women (14.5% vs. 8.6%). Similarly, the prevalence of CKD was higher among men than women in most age groups, (3) among urban residents, the prevalence of CKD was higher among middle-aged individuals and lower among young individuals and older adults, and (4) considering eGFR, the albuminuria and CKD for group definition, Blood pressure, triglyceride, high-density lipoprotein, blood sugar, and BMI were all statistically different among between normal groups and abnormal groups s in the albuminuria and CKD. Conclusion The incidence of CKD greatly varied between Mianzhu City and other regions in China and other countries. The differences in risk factors of CKD should be explored in the future. The gender difference in the prevalence of CKD in this study was markedly different from that in previous studies. More high-quality studies are needed to further explore this controversy. Based on the different prevalence of CKD and metabolism-related indices in rural and urban areas in this study, we speculated that the high incidence of CKD in Mianzhu City might be related to diet, lifestyle, and availability of healthcare services.
Added Sugars Consumption Decreased Iron and Zinc Intake among Children Aged 24-59 Months in Central Java

Background: High sugar consumption was found among children in Indonesia. Excessive intake of added sugars was predicted to cause micronutrient dilution, a negative potential effect compromising micronutrient intake such as iron and zinc. Objectives: This study examined the association between added sugar consumption and iron and zinc intake among children aged 24-59 months. Methods: This study was a secondary data analysis of the 2014 Total Diet Study in Central Java Province. The subjects were 394 children aged 24-59 months. Dietary intake and sociodemographic data were assessed using the 24-hour food recall and household questionnaire. Added sugars consumption was classified into six cut-offs based on its contribution to daily energy (%E), namely: C1 (<5%E), C2 (5%E - <10%E), C3 (10%E - <15%E), C4 (15%E - <20%E), C5 (20%E - 25%E), and C6 (>25%E). Results: 48% of subjects had added sugar intake exceeding the WHO recommendation. Subjects with iron and zinc intake below the Estimated Average Requirement (EAR) were 15.2% and 24.1%, respectively. As the added sugar consumption increased, iron and zinc intake decreased significantly (p<0.05). This study found a significant decrease in the intake of iron occurred at added sugar consumption ≥20%E (C5 and above) while decreasing the intake of zinc at added sugar consumption ≥15%E (C4 and above) (p<0,05). Conclusions: Added sugar consumption had an inverse association with iron and zinc intake among children aged 24-59 months, which showed the occurrence of micronutrient dilution.
Susceptibility of Cultivated Plants to Sumatran Elephant (Elephas maximus sumatranus) in The Human Elephants Conflict Area in Aceh Province

Study on human-elephant conflict was conducted in Aceh Province in August 2013−April 2014 to assess susceptibility of farms by crop raiding elephants. The locations were determined by selected areas impacted by elephant conflict including Cot Girek, Mane, Meureudu, Sampoiniet, and Pantai Ceureumen. 150 respondents was interviewed to assess the variety of the commodity plant species cultivated by local community within study areas, species of damaged commodity plants, species of undamaged commodity plants, and the planting system. There were 29 species considered as commodity plants cultivated by farmers. Moreover, 5 commodity plants were considered as high risk plants damaged by elephant including areca, banana, oil palm, paddy, and rubber. On the other hand, species considered as low risk or undamaged consist of cacao, coffee, chili, candlenut, and patchioli. Those low risk or undemaged commodity plants species have a potential to be promoted as elephant-friendly crop commodities in area adjacent to elephant habitat based on the analysis and the categorization of susceptibility of cultivated plants against crop raiding elephant. One of the problems of human-elephant conflict is crop raiding of village farms. It is assumed that elephants might destroy a particular species therefore information on the species could assist farmers in selecting appropriate crop to be planted. There is a risk that current polyculture and monoculture planting system used by farmers will not prevent farms from crop raiding elephants.
Travel Bloggers and Vloggers stimulus the Sustainability: An Empirical Evidence of Digital Marketing from Travel and Tourism Industry

The use of social media as a source of information for travellers is becoming increasingly important. The purpose of this study is to investigate how frequently social media websites appear in search engine results when searches are related to travel. In order to imitate how a traveller may use a search engine to plan their trip, the study used a collection of pre-defined terms. According to an analysis of the search results, social media accounts for a sizeable fraction of them, proving that search engines probably direct users to social media destinations. This study supports social media's growing importance in the field of internet travel. It serves as more evidence of the difficulties faced by traditional providers of travel-related data. Suggestions for tourism marketers in terms of online promoting methodologies are talked about. Blogs and vlogs have gotten to be a extraordinary reality of standard of living. Blogging and vlogging practice, which started essentially as a spare time activity at that point, has now come to be a profession for many. The foremost exceptional illustration of this may well be watched through the use of travel blogs. Undoubtedly, nowadays travel blogs and vlogs are critical work ranges inside the travel and tourism sustainability. In terms of fetched and sparing on time in specific, and abundance in data as well as simple get to information, Internet advances such as blogs and vlogs have gotten to be striking communication and promoting stages both for tourism supply and for request.
EXAMINING THE READABILITY OF ACCOUNTING NARRATIVES DERIVED FROM EARNINGS MANAGEMENT

This study investigates whether language difference affects the readability scores of accounting narratives derived from earnings management practices in 226 companies in the UK, Spain, and Jordan from 2017 to 2021.Our analytical method applies three of the most significant readability measures based on the characteristics of each language, as well as multiple linear and logistic regression models, to demonstrate the impact of language differences on the readability of accounting narratives. The findings indicate that earnings management practices significantly affect the readability of accounting disclosures/narratives, and that past financial profitability moderates this relationship. The implications of the findings reported will help decision-makers better understand the quality and readability of accounting narratives derived from companies’ earnings management. Our analysis also has implications for how stakeholders, accounting policymakers, financial statement auditors, and academics understand the relationship between accounting reporting narratives and earnings management.
A Graph Data Model-based Micro-Provenance Approach for Multi-level Provenance Exploration in End-to-End Climate Workflows

Open Science is a vital part in the current and future research agenda worldwide. In order to meet Open Science goals, it is of paramount importance to fully support the research process, which includes also properly addressing provenance and reproducibility of scientific experiments. Indeed, provenance and reproducibility are two key requirements for analytics workflows in Open Science contexts. Handling provenance at different levels of granularity and during the entire experiment lifecycle becomes key to properly and flexibly managing lineage information related to large-scale experiments as well as enabling reproducibility scenarios. To this end, this work introduces the micro-provenance concept, and it provides an in-depth description of its design, implementation and exploitation in the context of a multi-model climate analytics workflow.
Hydraulic conductivity in mycorrhisated Prunus plants

We report beneficial effects of some Glomeromicota fungi on plant water relations and growth. We tested the hypothesis that mycorrhiza can influence the conductance (i.e. reduces resistances) in water uptake and transport of inoculated plants. Myrobolan 29C micropropagated rootstocks were treated with commercial Glomus intraradices, during the acclimatisation stage in the nursery, and grafted (apricot cultivar) by chip budding technique. Hydraulic conductance was measured in rootstock and rootstock + grafting point by a Hydraulic Conductance Flow Meter. The rootstock conductivity of the inoculated plants was double, compared to the control, reaching the value of 1.4×10(-7) kg s-1 MPa-1 g-1. The conductivity of the rootstock + grafting point combination of the inoculated plants was 5-times, than the controls. Data on persistence of fungal infection on roots in pots are also presented.
The shifting baselines syndrome: perception, deception, and the future of our oceans

Humans consider the surroundings of their youth as natural and, as they age, recognize the changes to their environment as unnatural. Children repeat the errors of their parents. Thus, as each new generation collectively adopts this perverse perspective, we lose track of the inexorable degradation of native ecosystems. Pauly (1995) coined the term ! shifting baselines syndrome" to describe this phenomenon in relation to the problem of fisheries, for which baselines for so-called ! pristine" populations are established by managers that ignore the impacts of earlier fishing that had already greatly reduced fish abundance and size. Consequently, expectations change aswe shift to eating smaller and smaller fish and invertebrates at progressively lower trophic levels # the phenomenon now commonly referred to as ! fishing down the food web" (Pauly et al., 1998). The gradual accommodation of loss applies to a host of other ecological and cultural resources. Pollan (2008) writes on ! the tangible material formerly known as food" and notes that many modern food systems would be unrecognizable to people only a few decades ago. Similarly, we are in the process of destroying many indigenous cultures through a combination of genocide and assimilation. We lose one of the 7000 languages remaining on Earth every two weeks (Wilford, 2007). The ! future of the past" (Stille, 2002) is grim indeed. It is not sycophantic to say that the idea of shifting baselines was revolutionary for the field of ecology, for which our limited understanding of patterns of distribution and abundance, food webs, and community structure are based on the assumption that what we can observe today is all that matters (Jackson, 1997, 2006). The folly of this
Celastrol Pyrazine Derivative Alleviates Silicosis Progression via Inducing ROS-Mediated Apoptosis in Activated Fibroblasts

Silicosis is a complex occupational disease without recognized effective treatment. Celastrol, a natural product, has shown antioxidant, anti-inflammatory, and anti-fibrotic activities, but the narrow therapeutic window and high toxicity severely limit its clinical application. Through structural optimization, we have identified a highly efficient and low-toxicity celastrol derivative, CEL-07. In this study, we systematically investigated the therapeutic potential and underlying mechanisms of CEL-07 in silicosis fibrosis. By constructing a silicosis mouse model and analyzing with HE, Masson, Sirius Red, and immunohistochemical staining, CEL-07 significantly prevented the progress of inflammation and fibrosis, and it effectively improved the lung respiratory function of silicosis mice. Additionally, CEL-07 markedly suppressed the expression of inflammatory factors (IL-6, IL-1α, TNF-α, and TNF-β) and fibrotic factors (α-SMA, collagen I, and collagen III), and promoted apoptosis of fibroblasts by increasing ROS accumulation. Moreover, bioinformatics analysis combined with experimental validation revealed that CEL-07 inhibited the pathways associated with inflammation (PI3K-AKT and JAK2-STAT3) and the expression of apoptosis-related proteins. Overall, these results suggest that CEL-07 may serve as a potential candidate for the treatment of silicosis.
Gradual Optimization of Headspace Solid-Phase Microextraction Conditions of Volatiles in Pepper Chicken Soup Combined with Gas Chromatography-Mass Spectrometry and Principal Component Analysis

A single-factor gradual optimization method was developed in this experiment in order to improve the headspace solid-phase microextraction (HS-SPME) effect of volatile compounds in pepper chicken soup. The different extraction conditions included fibers with different coating materials, sample volume, extraction temperature, and extraction time. The total peak areas and the numbers of valid peaks were compared and analyzed as the indicators of condition optimization. Gas chromatography-mass spectrometry (GC-MS) results showed that the four factors all have significant impact on the extraction effect of volatiles in pepper chicken soup. Using the principal component analysis (PCA), the optimal conditions of HS-SPME were inferred below: an extraction fiber of 50/30μm DVB/CAR/PDMS, a sample volume of 7 g, an extraction temperature of 65°C, and an extraction time of 30 min. Compared to the original extraction conditions, the optimized conditions were especially advantageous for the comprehensive analysis of volatiles, which could be potentially used in further study of soup.
Respiratory Cytology

The key diagnoses in respiratory cytology are infections, eg, virus and fungus, and cancer, which in essence is small cell carcinoma vs nonsmall cell carcinoma, or metastases. The basic specimens include exfoliative specimens, including sputum (increasingly uncommon), bronchial cytology (washings, brushings), and bronchoalveolar lavage, and FNA biopsy specimens, including percutaneous, bronchoscopic, and endoscopic ultrasound biopsies. All are cytologically similar. The lecture will review basic respiratory cytology as well as diagnosis and differential diagnosis of reactive and neoplastic pulmonary diseases.
Effect of Cutting-Edge Geometry on the Machinability of 316L Austenitic Steel

The paper focuses on the problem of selecting the correct tool geometry in high-speed milling of 316L stainless steel. Carbide milling cutters with two configurations of helix angle (40/42 degrees for tool#1 and 35/38 degrees for tool#2) with different cutting edge radiuses r n (i.e. 4 µm, 6 µm, 8 µm, 10 µm and 12 µm) were prepared and their impact on cutting force and roughness were analyzed. The obtained results revealed that the small changes in cutting edge radius r n have a significant effect on both cutting forces and surface roughness.In this context, irrespective to the type of the tool, increasing the cutting edge radius results in further cutting force. However, increasing the cutting edge radius shows different behavior on roughness while using different tool helix angles. For the tool#1, it was found that the surface roughness increases by increasing the cutting edge radius from 6 μm to 12 μm; while in the samples machined by tool #2, increase in cutting edge radius results in reduction of rough - ness. It was also found that irrespective to the values of cutting edge radius, the cutting force while using tool #1 is slightly less than the tool#2. In addition, the induced milling surface roughness of the samples machined by tool#2 is significantly less than the tool#1 where the mean value of Ra was reduced from 2.55 µm to 0.35 µm.
Mapping landscape fire frequency for fire regime condition class

Fire Regime Condition Class (FRCC) is a departure index that compares the current amounts of the different vegetation succession classes, fire frequency, and fire severity to historic reference conditions. FRCC assessments have been widely used for evaluating ecosystem status in many areas of the U.S. in reports such as land use plans, fire management plans, project plans, burn plans, and agency reporting.
Liver function indicators and risk of hepatocellular carcinoma: a bidirectional mendelian randomization study

Observational studies have shown an association between liver dysfunction and hepatocellular carcinoma (HCC), but the causality relationship between them is unclear. We aimed to determine whether there is a bidirectional causal relationship between liver function indicators (alanine aminotransferase, ALT; aspartate aminotransferase, AST; alkaline phosphatase, ALP; γ-glutamyltransferase, GGT) and HCC. Our two-sample Mendelian randomization (MR) study acquired single nucleotide polymorphisms (SNPs) associated with liver function indicators (ALT, n = 134,182; AST, n = 134,154; GGT, n = 118,309; ALP, n = 105,030) and with HCC (n = 197,611) from publicly available genome-wide association studies (GWAS) of East Asian ancestry in Japan (BioBank Japan, BBJ). Univariable MR analyses were performed to identify whether the genetic evidence of exposure was significantly associated with outcome. Multivariable MR analysis was conducted to estimate the independent effects of exposures on outcome. Univariable MR analysis indicated that the level of ALT, AST, and GGT was the risk factor for HCC incidence. Meanwhile, multivariable MR analysis revealed that AST was an independent risk factor for HCC. The hazard ratio (HR) of the probability of HCC was 3.045 [95% confidence interval (95%CI), 1.697–5.463, p = 0.003] for AST. The results of reverse MR analyses showed that gene-predictive HCC incidence could increase the levels of AST (HR = 1.031, 95%CI: 1.009–1.054, p = 2.52 × 10−4) and ALT (HR = 1.040, 95%CI: 1.019–1.063, p = 0.005). Meanwhile, HCC may be negatively correlated with ALP levels (HR = 0.971, 95%CI: 0.947–0.995, p = 0.018). This study provides evidence to support that genetically predicted higher levels of AST are related to increased risk of HCC, with no strong evidence of a causal effect of genetically predicted ALP, ALP, and GGT on HCC. In addition, genetic predisposition to HCC could influence blood concentration of ALT, AST, and ALP. Thus, this may create a vicious cycle.
MEDIA PEMBELAJARAN BUAH-BUAHAN LOKAL BERBASIS AUGMENTED REALITY MENGGUNAKAN METODE MARKER BASED

Teknologi smartphone digunakan dalam pendidikan, salah satunya adalah sebagai alat pembelajaran. Media pembelajaran biasanya digunakan untuk membantu guru dalam proses belajar. segala sesuatu yang dapat digunakan untuk meningkatkan fikiran, perasaan, perhatian, dan keterampilan atau kemampuan siswa, mendorong proses belajar. Tujuan dari penelitian ini adalah untuk membuat aplikasi yang membantu siswa SD memahami objek buah dan mengetahui tingkat kelayakan aplikasi yang dikembangkan ditinjau dari aspek fungsional sesuai, efisiensi kinerja, portability, dan usability. Metode proses waterfall model digunakan untuk mengembangkan produk. Hasil pengujian aplikasi berfungsi dengan normal dengan hasil survey mendapatkan nilai dengan kategori baik, dengan skor rata-rata 80% dari segi kompatibilitas fungsi dan portabilitas, sedangkan kemudahan penggunaan dan efisiensi kinerja aplikasi ditunjukkan dengan baik, dengan hasil yang didapatkan pada pada jam 09.00-18.00 dengan tingkat pencahayaan 30-100% marker berhasil terdeteksi.
Skeletal Keypoint-Based Transformer Model for Human Action Recognition in Aerial Videos

Several efforts have been made to develop effective and robust vision-based solutions for human action recognition in aerial videos. Generally, the existing methods rely on the extraction of either spatial features (patch-based methods) or skeletal key points (pose-based methods) that are fed to a classifier. Unlike the patch-based methods, the pose-based methods are generally regarded to be more robust to background changes and computationally efficient. Moreover, at the classification stage, the use of deep networks has generated significant interest within the community; however, the need remains to develop accurate and computationally effective deep learning-based solutions. To this end, this paper proposes a lightweight Transformer network-based method for human action recognition in aerial videos using the skeletal keypoints extracted using YOLOv8. The effectiveness of the proposed method is shown on a well-known public dataset containing 13 action classes, achieving very encouraging performance in terms of accuracy and computational cost as compared to several existing related methods.