Miracle-dz/UniFAR-FTUs huggingface dataset:
MicroRNA-126-3p/5p and Aortic Stiffness in Patients with Turner Syndrome

Background: Turner Syndrome (TS) is a relatively rare X-chromosomal disease with increased cardiovascular morbidity and mortality. This study aimed to identify whether the circulating miR-126-3p/5p are involved in the pathophysiology of vascular dysfunction in TS. Methods: Using the RT-qPCR, the abundance levels of miR-126-3p and miR-126-5p were determined in 33 TS patients and 33 age-matched healthy volunteers (HVs). Vascular screening, including the assessment of blood pressure, pulse wave velocity, augmentation index, aortic deformation, arterial distensibility, and arterial elastance, was conducted in TS patients and HVs. Results: The abundance levels of miR-126-3p and miR-126-5p were significantly higher in TS patients compared to HVs (p < 0.0001). Within the TS cohort, miR-126-3p/5p correlated significantly with aortic deformation (r = 0.47, p = 0.01; r = 0.48, p < 0.01) and arterial distensibility (r = 0.55, p < 0.01; r = 0.48, p < 0.01). In addition, a significant negative correlation was demonstrated between miR-126-3p and arterial elastance (r = −0.48, p = 0.01). The receiver operating characteristic analysis showed that miR-126-3p and miR-126-5p separated the tested groups with high sensitivity and specificity. Conclusions: The abundance levels of miR-126-3p and miR-126-5p were significantly higher in TS patients compared to HVs. Within the TS cohort, a lower abundance level of miR-126-3p and miR-126-5p was linked with a significantly higher aortic stiffness.
Follicular Dynamics and Pregnancy Rate in Nellore Heifers Submitted to Fixed-Time Artificial Insemination Protocols (FTAI)

Simple Summary Reproductive biotechnologies are important strategies to enforce the production of genetically superior animals. The fixed-time artificial insemination is widely used in Brazil and it is especially important in farms located in remote areas, contributing to a better management and increase in genetics and productivity in areas such the Lower Amazon. We evaluated two different protocols of fixed-time insemination using two different hormones in the Nellore heifer raised under tropical conditions. The protocol of the fixed-time artificial insemination using equine chorionic gonadotrophin presented a better outcome in the pregnancy rate compared to the protocol using follicle stimulating hormone. Our tested protocol may be the most suitable alternative to increase conception rates in animals that are raised in an extensive system under tropical conditions in the Amazon. Abstract This study aimed to evaluate follicular dynamics and pregnancy rates in Nellore heifers submitted to fixed-time artificial insemination (FTAI) protocols associated with equine chorionic gonadotrophin (eCG) or follicle stimulating hormone (FSH). Nellore heifers (n = 259) were used, divided into two studies. Experiment I evaluated the ovarian follicular dynamics in 64 Nellore heifers submitted to different FTAI protocols (n = 32/group) using either FSH or eCG. In Experiment II, the pregnancy rate was evaluated in 195 heifers submitted to FTAI protocols and divided into two groups: FSH (n = 97) and eCG (n = 98). In Experiment I, the ultrasound examination showed that the maximum diameter of the dominant and preovulatory follicles and the ovulation time were similar between the FSH and eCG groups (p > 0.05). However, the ovulation rate was higher in the eCG group when compared to FSH (p = 0.014). In Experiment II, females that received eCG presented a higher pregnancy rate (58.1%) when compared to FSH (40.2%) (p = 0.012). The use of eCG in the FTAI protocol in Nellore heifers promoted a higher ovulation rate and increased pregnancy rate and may be the most suitable alternative to increase conception rates in animals that are raised in an extensive system under tropical conditions in the Amazon.
A Low-cost Hardware Attack Detection Solution for IoT Devices

Hardware security becomes a major concern for the development of future IoT devices. In this paper, we propose to investigate traffic monitoring for a low-cost real-time anomaly detection for IoT. This solution relies on the characterization of the wired communication traffic occurring at the interface of the IoT devices, to detect potential attacks and abnormal behaviour by an intrusive solution. A specific hardware architecture is presented and evaluated in an experimental study, showing the effectiveness of the traffic modeling and the detection against two types of hardware attacks performed on the I2C bus.
Determinant Factor that Influence Muslim Consumers to Choosing Restaurant: The role of Halal, Expectation and Attributes

Research related to halal food is dominated by halal manufactured products compared to halal restaurants products. Halal is a matter that concerns every aspect of Muslim life including food, it is important to know the factors that affect the purchase of restaurant product, in this case a halal restaurant. This research tries to find determinants of purchasing restaurant food in Indonesia. The model provide time dimension-based. Data collection was carried out through 438 questionnaires for Indonesian Muslim respondents and only 420 questionnaires could be analyzed. This research found that the halal label is not a direct variable that can influence restaurant food purchases. Men and women have different preferences in buying restaurant food. The results of this study are expected to be able to encourage restaurant manufacturers to adopt halal certification to increase sales. This research focuses on looking for determinants of restaurant food purchases, with time dimension-based modeling.
Effective treatment of diabetes mellitus and autoimmune diseases by resonance medicine

Diseases - diabetes mellitus (especially type 1) and autoimmune diseases are incurable diseases. In type 1 diabetes, the beta cells of the tail of the pancreas die. It is in the beta cells of the tail of the pancreas that insulin is located, a hormone that maintains normal blood sugar levels in patients with type 1 diabetes. Until now, no methods have been known to restore dead pancreatic beta cells. Methods for restoring the lymphoid system in patients with autoimmune diseases were not known. With these diseases, the normal properties of the lymphoid system are lost. This review aims to present materials on the effective treatment (cure) of these diseases. For the treatment, the resonance therapy method was used, which has been known for at least 25 years and which has been modified in our work since 2016. The essence of our modification was that the author began to use 1. Not only low (previously known) but also high potencies of resonant drugs. 2. We have created a direction in resonance therapy, which is called “resonance of creation. ” So far, only the direction is known as “resonance of destruction” is known, with the help of which oncological tissues, infectious processes, cysts, stones, etc. are treated - destroyed. With the help of the resonance of creation, various biological structures that have undergone degeneration and death are restored - the myelin sheath of the nerves in multiple sclerosis, nerve cells in Parkinson’s disease and Alzheimer’s disease, etc. With the help of the resonance of creation, the beta cells of the tail of the pancreas are restored in type 1 diabetes and restoration of the lymphoid system in autoimmune diseases. So, in patients with autoimmune diseases, organ preparations were tested: “lymph nodes”, “lymphocytes”. It turned out that in all patients with various autoimmune diseases, lymph nodes, and lymphocytes were tested as being in a degenerative state. There was not a single patient whose lymph nodes and lymphocytes were tested as normal. The task was to normalize the functional state of the lymph nodes and lymphocytes in our patients and thereby take an important step towards curing their autoimmune disease. To this end, it was necessary to increase the potency of the lymph nodes and lymphocytes in the same way as we did it in relation to the beta cells of the pancreas in patients with diabetes mellitus, in relation to the substantia nigra of the midbrain in patients with Parkinson’s disease and in relation to the myelin sheath. Nerves in multiple sclerosis. After testing organ preparations: “lymph nodes”, and “lymphocytes” in patients with autoimmune diseases, the potency was selected, which led to the fact that lymph nodes and lymphocytes were no longer tested as degenerated formations. It was this potency of lymph nodes and lymphocytes that was the basis for the treatment of patients. Thus, as a result of the treatment of diabetes mellitus (especially type 1) and autoimmune diseases by resonance therapy, these diseases become curable.
Consumers’ Willingness to Pay for Agri-Food Products Delivered with Electric Vehicles in the Short Supply Chains

This study aims at investigating the consumers’ willingness to pay (WTP) for agri-food products delivered in the farmers markets with electric vehicles (EVs). The empirical analysis has been carried out by administering an online questionnaire to 273 consumers within a hypothetical context. A multiple price list has been provided in order to measure the price premium for 1 kg of oranges transported by EVs comparing with the ones transported by traditional vehicles. A Tobit regression model has been used for the data analysis in order to identify the most influential factors affecting the consumers’ WTP. Results suggest that consumers’ WTP is mainly influenced by environmental attitudes, knowledge and possibility of engaging in responsible purchasing, and the approval of friends and relatives (social norms). This study delivers insights into support both farmers’ choice to invest in EVs and policymakers to develop policies promoting this transition process. The main limitations of this study are related to the use of a random sample of respondents and to the social desirability bias linked to self-reported questions.
Polyphenols from Plants: Phytochemical Characterization, Antioxidant Capacity, and Antimicrobial Activity of Some Plants from Different Sites of Greece

Polyphenols are present in many plants and herbs, and the scientific community and consumers are aware of their health-promoting effects. Plants of Greek origin were studied for their polyphenol content and their antioxidant and antimicrobial activities. Gas chromatography–mass spectrometry (GC–MS) and high-performance liquid chromatography coupled to a diode array detector (HPLC–DAD) were used for the identification and characterization of plant polyphenols. For GC–MS, a silylation procedure was employed. Ferulic acid, quercetin, and catechin were the most abundant polyphenols. The Rancimat test, FRAP (Ferric-reducing Antioxidant power) assay, and DPPH (2,2-Diphenyl-1-picrylhydrazyl) assay were used to study the antioxidant capacity, which was proven for all studied plants. The antimicrobial activity was studied against specific pathogenic microorganisms. Pelargonium purpureum and Sideritis scardica plant extracts inhibited most microorganisms such as L. monocytogenes and E. coli. Extracts of studied plants showed both antioxidant and antimicrobial activities; hence, they can be considered to be used by the food industry.
Carbon 60 Dissolved in Grapeseed Oil Inhibits Dextran Sodium Sulfate-Induced Experimental Colitis

Introduction Carbon 60 (C60) and its derivatives have various biological applications. In our laboratory, we have demonstrated that C60 dissolved in grape seed oil (C60-Oil) has antioxidant and anti-inflammatory properties; however, the effectiveness of this formulation to treat diseases of the intestinal tract and specifically ulcerative colitis has not been studied. In this study, we intend to explore the effects of C60-Oil against experimental ulcerative colitis induced by Dextran Sulfate Sodium (DSS) in rats and a human colorectal cell line, HT-29. Methods The rats were randomly distributed into three groups: a negative control group with no induced damage and two other groups were treated with DSS to induce UC for seven days: one as untreated control and the other group treated with C60-Oil 3 mg/kg/day. We quantified the clinical manifestations of the disease, body weight, colon weight, microscopic damage score, and colonic content of IL-6, TNF-alpha, IL-1B, and IL-10. As part of the cell studies, HT-29 cells were pretreated with C60-Oil at different concentrations (0.1, 1, 5, 10, 50, 30 μg/mL) and then stimulated with DSS (10 μg/mL). We measured the levels of IL-8 and NO secreted in the medium and the intracellular levels of ROS. Results Oral treatment with C60-Oil significantly prevented the change in body weight, reduced most of the clinical signs of the disease, colon weight, microscopic damage score, and considerably improved the profile of cytokines analyzed. The pretreatment of HT-29 cells also protected the cells from the action of DSS as it reduced the levels of IL-8, NO, and ROS. Conclusion According to our results, we can suggest C60-Oil, as a formulation with pharmacological potential for treating ulcerative colitis.
The discursive representation of the International Baccalaureate in the global press: a computer-assisted discourse analysis

ABSTRACT As part of the global education industry, the International Baccalaureate (IB) plays an important role in education systems around the world. Although laudatory descriptions of the IB abound, knowledge about it remains vague and superficial, relying predominantly on information produced by the IB organization or its affiliates. To gain fresh insight into the IB phenomenon, this study combines corpus linguistics and critical discourse analysis to examine representation of the IB around the world in non-IB generated data. Based on the principle that choice in language is not random, meaning is intimately connected with the way words are used, a 23 million word corpus of global press articles and Sketch Engine, patterns of typicality are analyzed to uncover values associated with the IB that are taken for granted. Findings show hegemonic ways of talking about the IB in highly positive terms tied to corresponding discourses of deficiency surrounding other education systems.
Modeling and fault detection of a turbofan engine by deep-learning approach

Throughout the world, thousands of passengers travel by air, their quality depends on that of the equipment used. Predictive maintenance is increasingly used to estimate. The remaining useful life of system components and in particular turbofan engines as an essential component. It is used to predict failure before it occurs, optimize component design, extend equipment life, and reduce maintenance costs. However, the algorithms proposed in the literature to date to determine the remaining useful life lack precision with a quadratic error around 20 while the physical models have errors of the order of 0.02. The problem here is how to increase the accuracy of predicting the remaining useful life of a turbofan engine. The objective of this study is to develop a more realistic and accurate algorithm for calculating the remaining useful life of a turbofan engine. To do this, we considered the degradation of the high pressure compressor and the fan as essential organs of the turbojet engine and we used deep learning, known for its high precision linked to a great capacity for extracting information. More specifically, it involved acquiring data on a turbojet engine in operation, pre-processing this data, developing the prediction model, training the model and finally validating the approach in comparison with other diagnostic methods. and to model these defects. We compared two deep learning architectures per application against the CMAPSS dataset to assess their performance. The LSTM architecture we developed prevailed with an RMSE of 13.76, well positioned compared to the literature architecture.
Heat Stress and an Immune Challenge Influence Turkey Meat Quality, but Conspecific-Directed Pecking Behavior Does Not

Heat stress (HS), immune challenges (IC) and pecking behavior are some of the many stressors poultry can experience in commercial settings that may affect bird welfare and meat quality after harvest. The first objective was to determine if HS or IC turkeys displayed greater negative effects on meat quality, and the second objective was to determine if the frequency of non-aggressive pecking behaviors among the birds was related to meat quality. Ninety-two, commercial male, beak-trimmed turkeys were used with a total of 15 rooms and 4–7 birds per room. Each treatment was applied for 1 week prior to harvest: the Control (CON) group had no stressors added, the HS group ambient temperature was approximately 29 °C for 120 min, and the IC group involved inoculating birds with a live vaccine for hemorrhagic enteritis virus. Birds were recorded and scored to quantify pecking behavior. Once harvested, carcasses were evaluated for feather retention force, pH, color, proximate analysis, fatty acid composition, shear force, and drip loss. Stress treatment resulted in HS breasts having the lowest protein content, and IC breasts having the lowest CIE L* values and the greatest shear force values. Pecking behavior had no impact on any meat quality attributes.
Variable Phase Relationship Between Monsoon and Temperature in East Asia During Termination II Revealed by Oxygen and Clumped Isotopes of a Northern Chinese Stalagmite

Termination II (T‐II) is a natural reference for evaluating the potential effect of substantial ice sheets melting on monsoon and temperature changes caused by global warming. However, the phase relationship of East Asian summer monsoon (EASM) and temperature during T‐II remains enigmatic due to the lack of paleotemperature proxies. Here, we provide high‐resolution mean annual atmospheric temperature (MAAT) estimates during T‐II in northern China using speleothem clumped isotopes. Compared with present, the maximum MAAT at the last interglacial was 1.8 ± 1.5°C higher, and the minimum MAAT at the penultimate glaciation was 6.8 ± 1.3°C lower. EASM and temperature decoupled during the first 2100 years of the record and coupled onwards. This variable phase relationship is plausibly modified by the strength of the cold anomaly in North Atlantic triggered by collapse of ice sheets. When the cold anomaly exceeds a boundary condition, it could not only weaken EASM but also lower temperature.
PENGARUH E-FILING, SOSIALISASI, KESADARAN WAJIB PAJAK, DAN SANKSI PERPAJAKAN TERHADAP KEPATUHAN WAJIB PAJAK ORANG PRIBADI

Penelitian ini bertujuan untuk mengetahui pengaruh penerapan e-Filing, sosialisasi perpajakan, kesadaran wajib pajak dan sanksi perpajakan secara parsial dan simultan terhadap kepatuhan wajib pajak orang pribadi. Lokasi penelitian ini pada Pada Kantor Pelayanan Pajak Pratama Denpasar Timur. Populasi menggunakan wajib pajak orang pribadi Pada Kantor Pelayanan Pajak Pratama Denpasar Timur dan sampel sebanyak 100 responden. Teknik analisis data menggunakan Uji Validitas, Uji Reabilitas, Uji Asumsi Klasik, Anaisis Regresi Linier Berganda, Uji Koefisien Determinasi, Uji F dan Uji t. Dari hasil penelitian diperoleh hasil : (1) pengaruh penerapan e-Filing berpengaruh positif dan tidak signifikan, dimana diperoleh t hitung sebesar 1,268 dan nilai signifikansi sebesar 0,208. (2) sosialisasi perpajakan berpengaruh positif dan tidak signifikan, dimana diperoleh nilai t hitung sebesar 0,131 dan nilai signifikansi sebesar 0,896. (3) kesadaran wajib pajak berpengaruh positif signifikan terhadap kepatuhan wajib pajak orang pribadi, dimana diperoleh nilai t hitung sebesar 3,138 dan nilai signifikansi sebesar 0,002. (4) sanksi perpajakan berpengaruh positif signifikan terhadap kepatuhan wajib pajak orang pribadi, dimana diperoleh nilai t hitung sebesar 5,586 dan nilai signifikansi sebesar 0,000. Besarnya pengaruh variabel bebas terhadap kepatuhan wajib pajak orang pribadi adalah 58,4%.
A Generalized Integration Approach to Association Analysis with Multi-category Outcome: An Application to a Tumor Sequencing Study of Colorectal Cancer and Smoking

Abstract Cancer is a heterogeneous disease, and rapid progress in sequencing and -omics technologies has enabled researchers to characterize tumors comprehensively. This has stimulated an intensive interest in studying how risk factors are associated with various tumor heterogeneous features. The Cancer Prevention Study-II (CPS-II) cohort is one of the largest prospective studies, particularly valuable for elucidating associations between cancer and risk factors. In this article, we investigate the association of smoking with novel colorectal tumor markers obtained from targeted sequencing. However, due to cost and logistic difficulties, only a limited number of tumors can be assayed, which limits our capability for studying these associations. Meanwhile, there are extensive studies for assessing the association of smoking with overall cancer risk and established colorectal tumor markers. Importantly, such summary information is readily available from the literature. By linking this summary information to parameters of interest with proper constraints, we develop a generalized integration approach for polytomous logistic regression model with outcome characterized by tumor features. The proposed approach gains the efficiency through maximizing the joint likelihood of individual-level tumor data and external summary information under the constraints that narrow the parameter searching space. We apply the proposed method to the CPS-II data and identify the association of smoking with colorectal cancer risk differing by the mutational status of APC and RNF43 genes, neither of which is identified by the conventional analysis of CPS-II individual data only. These results help better understand the role of smoking in the etiology of colorectal cancer. Supplementary materials for this article are available online.
Autonomous Collaborative Authentication with Privacy Preservation in 6G: From Homogeneity to Heterogeneity

The emerging collaborative authentication schemes are capable of outperforming the conventional isolated methods as a benefit of their multi-dimensional data/information gleaned, but they face new challenges in the sixth generation (6G) wireless networks owing to their increased overhead, limited flexibility and autonomy. Moreover, they may also be vulnerable to the privacy leakage of individual entities. These challenges are mainly due to the complex heterogeneous network architecture, owing to the distributed nature of the devices and information involved as well as the diverse security requirements of the 6G-aided vertical systems. As a remedy, we introduce autonomous collaborative authentication for achieving security enhancement through the situation-aware cooperation of different security mechanisms, of heterogeneous security information/context, and of heterogeneous devices and networks. For this purpose, a federated learning-based collaborative authentication scheme capable of privacy-preservation is developed, where cooperative peers observe and locally analyze heterogeneous information of the authenticating device, and afterwards update their authentication models locally. By sharing their authentication models rather than directly sharing the observed authentication information, privacy preservation can be achieved based on the proposed scheme. Moreover, given the time-varying heterogeneous network environment and the wide range of quality-of-service (QoS) requirements, the membership of the group collaborating in support of distributed authentication is updated based on the situation-dependent conditions. To further reduce the communication overhead, a locally collaborative learning process is further developed, where both the updated parameters and observed authentication information are stored and processed locally at the cooperative peers. Finally, a smart contract is designed for achieving collaborative security combined with privacy preservation and for providing accountable services.