Miracle-dz/UniFAR-FTUs huggingface dataset:
Food Science of Animal Resources

Fat deposition in animal muscles differs according to the genetics and muscle anatomical locations. Moreover, different fat to lean muscle ratios (quality grade, QG) might contribute to aroma development in highly marbled beef. Scientific evidence is required to determine whether the abundance of aroma volatiles is positively correlated with the amount of fat in highly marbled beef. Therefore, this study aims to investigate the effect of QG on beef aroma profile using electronic nose data and a chemometric approach. An electronic nose with metal oxide semiconductors was used, and discrimination was performed using multivariate analysis, including principal component analysis and hierarchical clustering. The M. longissimus lumborum (striploin) of QG 1++, 1+, 1, and 2 of Hanwoo steers (n=6), finished under identical feeding systems on similar farms, were used. In contrast to the proportion of monounsaturated fatty acids (MUFAs), the abundance of volatile compounds and the proportion of polyunsaturated fatty acids (PUFAs) decreased as the QG increased. The aroma profile of striploin from carcasses of different QGs was well-discriminated. QG1++ was close to QG1+, while QG1 and QG2 were within a cluster. In conclusion, aroma development in beef is strongly influenced by fat deposition, particularly the fat-to-lean muscle ratio with regard to the proportion of PUFA. As MUFA slows down the oxidation and release of volatile compounds, leaner beef containing a higher proportion of PUFA produces more volatile compounds than beef with a higher amount of intramuscular fat.
Genomic Identification, Evolution, and Expression Analysis of Bromodomain Genes Family in Buffalo

Bromodomain (BRD) is an evolutionarily conserved protein–protein interaction module that is critical in gene regulation, cellular homeostasis, and epigenetics. This study aimed to conduct an identification, evolution, and expression analysis of the BRD gene family in the swamp buffalo (Bubalus bubalis). A total of 101 BRD protein sequences deduced from 22 BRD genes were found in the buffalo genome. The BRD proteins were classified into six groups based on phylogenetic relationships, conserved motifs, and conserved domains. The BRD genes were irregularly distributed in 13 chromosomes. Collinearity analysis revealed 20 BRD gene pairs that had remarkable homologous relationships between the buffalo and cattle, although no tandem or segmental duplication event was found in the buffalo BRD genes. Comparative transcriptomics using a 10x sequencing platform analysis showed that 22 BRD genes were identified in the Sertoli cells (SCs) at different developmental stages of buffalo. Further, the mRNA expression levels of bromodomain and the extraterminal (BET) family in SCs at the pubertal stage were higher than that at the prepubertal stage of buffalo. However, the SMARCA2, PHIP, BRD9, and TAF1 genes exhibited the opposite trend. The maturation process of SCs may be regulated by the BRD family members expressed differentially in SCs at different developmental stages of buffalo. In summary, our findings provide an understanding of the evolutionary, structural, and functional properties of the buffalo BRD family members, and further characterize the function of the BRD family in the maturation of SCs. It also provides a theoretical basis for further understanding in the future of the mechanism of SCs regulating spermatogenesis.
A Review on Aerodynamic Analysis of Wind Turbine Blade Using CFD Technique

The aim of this paper is review for various researches on the aerodynamic analysis of wind turbine blade using Computational Fluid Dynamics (CFD). Wind turbine blades are subjected to various aerodynamic loads; currently much research has concentrated on improving the aerodynamic performance of wind turbine blade through wind tunnel testing and theoretical studies. These efforts are much time consuming and need expensive laboratory resources. However, wind turbine simulation through Computational Fluid Dynamics (CFD) software offers inexpensive solutions to aerodynamic blade analysis problem. In this study the researchers used various CFD codes and got a good result through these codes.
Simulation study of the photovoltaic panel under different operation conditions

An increase in the temperature of the photovoltaic (PV) cells is a significant issue in most PV panels application. About 15–20% of solar radiation is converted to electricity by PV panels, and the rest converts to heat that affects their efficiency. This paper studies the effects of temperature distribution on the PV panel at different solar radiation values, temperatures under different operation conditions in January and July. A 3D model of the PV panel was simulated with ANSYS software, depending on the various values of temperatures and solar radiation values obtained using mathematic equations. The simulation results indicate that PV panel temperature lowered with solar radiation values lower in January, and the temperature was homogeneous on the PV panel surface. An increase in the solar radiation value and temperature in July led causes heating of the PV panel with observed a convergence of the maximum and average temperature of the panel. Thus, the PV panel temperature increase is directly proportional to the solar radiation increase that causes lower performance. Cooling the PV panel by passive or active cooling represents the optimum option to enhance their performance and avoid increasing the PV cells' temperature at temperature increase.
Beyond Lipid-Lowering: Effects of Statins on Cardiovascular and Cerebrovascular Diseases and Cancer

The 3-hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) reductase inhibitors, also known as statins, are administered as first-line therapy for hypercholesterolemia, both as primary and secondary prevention. Besides the lipid-lowering effect, statins have been suggested to inhibit the development of cardiovascular disease through anti-inflammatory, antioxidant, vascular endothelial function-improving, plaque-stabilizing, and platelet aggregation-inhibiting effects. The preventive effect of statins on atherothrombotic stroke has been well established, but statins can influence other cerebrovascular diseases. This suggests that statins have many neuroprotective effects in addition to lowering cholesterol. Furthermore, research suggests that statins cause pro-apoptotic, growth-inhibitory, and pro-differentiation effects in various malignancies. Preclinical and clinical evidence suggests that statins inhibit tumor growth and induce apoptosis in specific cancer cell types. The pleiotropic effects of statins on cardiovascular and cerebrovascular diseases have been well established; however, the effects of statins on cancer patients have not been fully elucidated and are still controversial. This review discusses the recent evidence on the effects of statins on cardiovascular and cerebrovascular diseases and cancer. Additionally, this study describes the pharmacological action of statins, focusing on the aspect of ‘beyond lipid-lowering’.
Comparing between Different Sets of Preprocessing, Classifiers, and Channels Selection Techniques to Optimise Motor Imagery Pattern Classification System from EEG Pattern Recognition

The ability to control external devices through thought is increasingly becoming a reality. Human beings can use the electrical signals of their brain to interact or change the surrounding environment and more. The development of this technology called brain-computer interface (BCI) will increasingly allow people with motor disabilities to communicate or use assistive devices to walk, manipulate objects and communicate. Using data from the PhysioNet database, this study implemented a pattern classification system for use in a BCI on 109 healthy volunteers during real movement activities and motor imagery recorded by 64-channels electroencephalography (EEG) system. Different classifiers such as Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Decision Trees (TREE) were applied on different combinations of EEG channels. Starting from two channels (C3, C4 and CP3 and CP4) positioned on the contralateral and ipsilateral sensorimotor cortex, the Region of Interest (RoI) centred on C3/Cp3 and C4/Cp4 and, finally, a data-driven automatic channels selection was tested to explore the best channel combination able to increase the classification accuracy. The results showed that the proposed automatic channels selection was able to significantly improve the performance of each classifier achieving 98% of accuracy for classification of real and imagined hand movement (sensitivity = 97%, specificity = 99%, AUC = 0.99) by SVM. While the accuracy of the classification between the imagery of hand and foot movements was 91% (sensitivity = 87%, specificity = 86%, AUC = 0.93) also with SVM. In the proposed approach, the data-driven automatic channels selection outperforms classical a priori channel selection models such as C3/C4, Cp3/Cp4, or RoIs around those channels with the utmost accuracy to help remove the boundaries of human communication and improve the quality of life of people with disabilities.
Asymmetric Interfaces in Epitaxial Off-Stoichiometric Fe3+xSi1−x/Ge/Fe3+xSi1−x Hybrid Structures: Effect on Magnetic and Electric Transport Properties

Three-layer iron-rich Fe3+xSi1−x/Ge/Fe3+xSi1−x (0.2 < x < 0.64) heterostructures on a Si(111) surface with Ge thicknesses of 4 nm and 7 nm were grown by molecular beam epitaxy. Systematic studies of the structural and morphological properties of the synthesized samples have shown that an increase in the Ge thickness causes a prolonged atomic diffusion through the interfaces, which significantly increases the lattice misfits in the Ge/Fe3+xSi1−x heterosystem due to the incorporation of Ge atoms into the Fe3+xSi1−x bottom layer. The resultant lowering of the total free energy caused by the development of the surface roughness results in a transition from an epitaxial to a polycrystalline growth of the upper Fe3+xSi1−x. The average lattice distortion and residual stress of the upper Fe3+xSi1−x were determined by electron diffraction and theoretical calculations to be equivalent to 0.2 GPa for the upper epitaxial layer with a volume misfit of −0.63% compared with a undistorted counterpart. The volume misfit follows the resultant interatomic misfit of |0.42|% with the bottom Ge layer, independently determined by atomic force microscopy. The variation in structural order and morphology significantly changes the magnetic properties of the upper Fe3+xSi1−x layer and leads to a subtle effect on the transport properties of the Ge layer. Both hysteresis loops and FMR spectra differ for the structures with 4 nm and 7 nm Ge layers. The FMR spectra exhibit two distinct absorption lines corresponding to two layers of ferromagnetic Fe3+xSi1−x films. At the same time, a third FMR line appears in the sample with the thicker Ge. The angular dependences of the resonance field of the FMR spectra measured in the plane of the film have a pronounced easy-axis type anisotropy, as well as an anisotropy corresponding to the cubic crystal symmetry of Fe3+xSi1−x, which implies the epitaxial orientation relationship of Fe3+xSi1−x (111)[0−11] || Ge(111)[1−10] || Fe3+xSi1−x (111)[0−11] || Si(111)[1−10]. Calculated from ferromagnetic resonance (FMR) data saturation magnetization exceeds 1000 kA/m. The temperature dependence of the electrical resistivity of a Ge layer with thicknesses of 4 nm and 7 nm is of semiconducting type, which is, however, determined by different transport mechanisms.
Early Response Prediction of Multiparametric Functional MRI and 18F-FDG-PET in Patients with Head and Neck Squamous Cell Carcinoma Treated with (Chemo)Radiation

Simple Summary Patients with locally-advanced head and neck squamous cell carcinoma (HNSCC) have variable responses to (chemo)radiotherapy. A reliable early prediction of outcomes allows for enhancing treatment efficacy and follow-up monitoring. Early tumoral changes can be captured by functional imaging (DWI/IVIM/DCE/18F-FDG-PET-CT) parameters, which allow for the construction of accurate patient-specific prognostic models for locoregional recurrence-free survival, distant metastasis-free survival and overall survival. We also present clinical applicable risk stratification in high/medium/low risks for these patient outcomes. This can enable personalized treatment (adaptation) management early on during treatment, improve counseling and enhance patient-specific post-therapy monitoring. Abstract Background: Patients with locally-advanced head and neck squamous cell carcinoma (HNSCC) have variable responses to (chemo)radiotherapy. A reliable prediction of outcomes allows for enhancing treatment efficacy and follow-up monitoring. Methods: Fifty-seven histopathologically-proven HNSCC patients with curative (chemo)radiotherapy were prospectively included. All patients had an MRI (DW,-IVIM, DCE-MRI) and 18F-FDG-PET/CT before and 10 days after start-treatment (intratreatment). Primary tumor functional imaging parameters were extracted. Univariate and multivariate analysis were performed to construct prognostic models and risk stratification for 2 year locoregional recurrence-free survival (LRFFS), distant metastasis-free survival (DMFS) and overall survival (OS). Model performance was measured by the cross-validated area under the receiver operating characteristic curve (AUC). Results: The best LRFFS model contained the pretreatment imaging parameters ADC_kurtosis, Kep and SUV_peak, and intratreatment imaging parameters change (Δ) Δ-ADC_skewness, Δ-f, Δ-SUV_peak and Δ-total lesion glycolysis (TLG) (AUC = 0.81). Clinical parameters did not enhance LRFFS prediction. The best DMFS model contained pretreatment ADC_kurtosis and SUV_peak (AUC = 0.88). The best OS model contained gender, HPV-status, N-stage, pretreatment ADC_skewness, D, f, metabolic-active tumor volume (MATV), SUV_mean and SUV_peak (AUC = 0.82). Risk stratification in high/medium/low risk was significantly prognostic for LRFFS (p = 0.002), DMFS (p < 0.001) and OS (p = 0.003). Conclusions: Intratreatment functional imaging parameters capture early tumoral changes that only provide prognostic information regarding LRFFS. The best LRFFS model consisted of pretreatment, intratreatment and Δ functional imaging parameters; the DMFS model consisted of only pretreatment functional imaging parameters, and the OS model consisted ofHPV-status, gender and only pretreatment functional imaging parameters. Accurate clinically applicable risk stratification calculators can enable personalized treatment (adaptation) management, early on during treatment, improve counseling and enhance patient-specific post-therapy monitoring.
Comparative anatomy of selected bones of forelimb of local Mongrelian Dog (Canis lupus familiaris) in Sokoto, Nigeria

This research was conducted over period of 3 months with the aim of studying Age related changes of selected bones of forelimb (Scapula, Humerus, Radius and Ulna) in Local Mongrelian Dog (Canis lupus familiaris). The study entails biometrical and gross observations on the bones. The sample bones were acquired from the experimental animals of comparative anatomy in the department. The bones were categorized into various age groups for the research. The length, width, diameter and circumference of the samples (scapula, humerus, radius and ulna bones) were determined for all the groups. The shape, size, color, location, position and relation of each segment of the samples at various stages of development were determined. The differences across the age groups of different samples were observed and recorded. Based on the research result, it was concluded that, the biometric and morphometry data was found to be increasing with advancement of age. A baseline data was established with the view to enhance learning.
Instructional Program Coherence, Teacher Intent to Leave, and the Mediating Role of Teacher Psychological Needs

ABSTRACT The purpose of this study was to 1) examine the relationship between instructional program coherence (IPC) and teacher intent to leave; and 2) investigate teacher psychological need satisfaction as a mediator in this relationship. HLM was used to test the hypotheses. As predicted, school differences in teacher intent to leave their school were related to teacher perceptions of IPC. Teacher autonomy and relatedness mediated the relationship between IPC and teacher intent to leave, while teacher competence satisfaction did not. Results suggest that the way school leaders organize the instructional environment has implications for teacher well-being and retention.
An Analysis on Translation Errors in Online Vietnamese-English Menus

With the development of tourism in Vietnam as one of the world's top destinations in recent years, food providers prefer to use bilingual menus, especially Vietnamese-English ones, as a useful tool for foreign customers to gain a better understanding of the national cuisine. However, there exist translation errors, which have caused several negative impacts on the customers. Therefore, identifying the translation errors and causes is quite helpful in promoting Vietnam's tourism, considering the status quo of the country's ongoing cultural integration within the context of the corona-virus pandemic. This paper collected the food names in online Vietnamese-English menus from 100 restaurants and foodservice establishments on Foody, one of the most original and well-received food review apps in Vietnam, and analyzed the collected data using both qualitative and quantitative research methods. The results indicated that there were four major translation error categories related to syntax, semantics, pragmatics, and translation-specific errors with 14 different specific error types based on a hybrid error-analysis model adapted from those popular in translation and currently used in the world. The results also revealed possible causes for these errors from different levels, including linguistic inaccuracy, amateurism, and irresponsibility. The findings may be used as a reference for translation training in Vietnam.
Regions and trademarks: research opportunities and policy insights from leveraging trademarks in regional innovation studies

ABSTRACT At the intersection of regional and innovation studies, trademark research is producing stylized facts, methodological lessons and policy insights underlining the importance of softer intangible assets for regional resilience and growth. Despite all the recent attention, there are still several opportunities that the present agenda-framing piece tries to canvas, identifying at least two directions for further research: the geography of innovation/entrepreneurship and regional specialization/diversification. Not only do these emerge from a dedicated special issue in Regional Studies (to which this paper also serves as an editorial), but they also unfold in emerging research and policy trajectories.
A Study on Topology Optimization for Two-Dimensional Steady-State Heat Conduction Problems Using Boundary Element Method

Topology optimization is one of the structural optimizations and is a mathematical approach to find the optimal material layout within the given design domain. The objective function appropriately defined reaches its optimum value after optimization under given constraints by using a certain numerical method to solve this optimization problem. It is the most flexible structural optimization compared with other sizing and shape optimizations since it allows appearances of holes in the optimum material layout. Topology optimization has received wide attention and has been implemented through the use of finite element methods based on plenty of optimization techniques, such as homogenization method (HM), solid isotropic material with penalization (SIMP), evolutionary structural optimization (ESO) and level set method (LSM). Based on these popular techniques, topology optimization has been applied to many physical problems and engineering applications such as mechanics, vibration, acoustic, thermal and electromagnetic problems. However, most of the approaches suffered some drawbacks such as checkerboard patterns, intermediate density material and dependency on initial configurations. Moreover, these approaches take much computational time and result in non-smooth boundaries. This dissertation aims at constructing a level set-based topology optimization method using the boundary element method for heat conduction problems to find the optimal material configuration. The boundary element method is used for the heat conduction analyses by meshing the boundary of the material for each iterative step of optimization to avoid the intermediate density problems. This dissertation is organized as follows: Chapter 1 includes a classification of structural optimizations and the development of the popular optimization techniques, and reviews starting from their appearance to working principles, applied problems, and advantages and disadvantages. Chapter 2 introduces the concept of the level set method to represent the property (material or void) of design domain, combining the boundary element method which is used to solve heat con-
Direct Seeded Rice and its Prospects in Nepal: A Review

Direct Seeded Rice (DSR) is an alternative cultivation technique to the conventional Transplanted Rice (TPR). In this method, seeds are directly sown to the field without the necessity of nursery raising and transplanting. DSR can generally be divided into dry-DSR (sowing dry seeds in dry soil), wet-DSR (sowing pre-germinated seeds in moist soil) and water-seeding (sowing dry or pre-germinated seeds in standing water). This helps in saving water alongside the labour and results in early harvest due to quick crop establishment. DSR is proved to be sustainable and eco-friendly since it emits less methane than in TPR. However, there are few constraints associated with DSR such as weed infestation, crop lodging and nutrient loss. If these major issues are fixed, DSR can result in greater economic returns as compared to TPR. In absence of puddling, the soil structure can be maintained which leads to greater yields of succeeding crops. This technique has been successfully practiced in many countries like Srilanka, Malaysia and USA. In developing nations like Nepal, irrigation and labour constraints can be tackled by adopting direct-seeding for rice cultivation.
Extracorporeal Hyperoxygenation Therapy (EHT) for Carbon Monoxide Poisoning: In-Vitro Proof of Principle

Carbon monoxide (CO) poisoning is the leading cause of poisoning-related deaths globally. The currently available therapy options are normobaric oxygen (NBO) and hyperbaric oxygen (HBO). While NBO lacks in efficacy, HBO is not available in all areas and countries. We present a novel method, extracorporeal hyperoxygenation therapy (EHT), for the treatment of CO poisoning that eliminates the CO by treating blood extracorporeally at elevated oxygen partial pressure. In this study, we proof the principle of the method in vitro using procine blood: Firstly, we investigated the difference in the CO elimination of a hollow fibre membrane oxygenator and a specifically designed batch oxygenator based on the bubble oxygenator principle at elevated pressures (1, 3 bar). Secondly, the batch oxygenator was redesigned and tested for a broader range of pressures (1, 3, 5, 7 bar) and temperatures (23, 30, 37 °C). So far, the shortest measured carboxyhemoglobin half-life in the blood was 21.32 min. In conclusion, EHT has the potential to provide an easily available and effective method for the treatment of CO poisoning.