Miracle-dz/UniFAR-FTUs huggingface dataset:
Additively Manufactured Composite Lug with Continuous Carbon Fibre Steering Based on Finite Element Analysis

In this study, the influence of curvilinear fibre reinforcement on the load-carrying capacity of additively manufactured continuous carbon fibre reinforced necked double shear lugs was investigated. A curvilinear fibre placement is descriptive of layers in extrusion-based continuous-fibre-reinforced additive manufacturing with carbon fibres aligned in the directions of principal stress. The alternating layered fibre trajectories follow the maximum and minimum principal stress directions due to axial tension loading derived from two-dimensional finite element analysis (FEA). The digital image correlation was utilised to monitor the strain distribution during the application of tensile load. The 2D FEA data and the tensile test results obtained were comparable, the part strength and the linear approximation of stiffness data variability were minimal and well within the acceptable range. Nondestructive fractography was performed by utilising computed tomography (CT) to analyse the fractured regions of the tensile-tested lug. The CT scanned images aided in deducing the failure phenomenon in layered lugs; process-induced voids and fibre layup undulation were identified as the cause for lug failure.
Teacher Qualification Typologies and Their Relationship With the Math Achievement of Adolescents At Risk for Math Difficulties: A Latent Class Analysis Study

This latent class analysis study used a bias-adjusted three-step approach to empirically identify mutually exclusive clusters of teacher professional qualifications based on commonly studied indicators of teacher quality. We then examined the relationship between cluster membership and the mathematics gains of adolescents at risk for mathematics difficulties (MD), including students with disabilities and those without disabilities. We identified students at risk for MD as those performing at or below the 25th percentile on the state exam. We empirically identified eight qualitatively distinct and interpretable teacher qualification clusters. Based on value-added models, we found that teachers in Cluster 5 had lower average math learning gains than their peers in clusters with the most experienced and credentialed teachers. Cluster 5 included teachers who were novice and early-career, traditionally prepared math majors. We observed significant effects for the end or grade scores for the middle grades but not the algebra scores of high school students, suggesting teacher cluster membership effects varied by grade level. We discuss limitations and offer implications for research and policy.
Effects of Statin Drugs on New Onset of Diabetes Mellitus in Post Menopausal Women

Background: Statin drugs are using all over the world for the treatment of hypercholesterolemia. There is hypothesis that post menopausal women who used statin drugs long time can develop the onset of type 2 diabetes mellitus because statin drugs inhibit the signal transduction of insulin by inhibiting oxidative phosphorylation resulting in decrease secretion of insulin leads to hyperglycemia. The aim of this study to estimate the effects of statin drugs on blood glucose level and HbA! c% in post menopausal women. Methodology: This case comparative study was done at LUMHS Jamshoro. The sampling was done by Non Probability method. Total number of150 subjects were divided in 2 group’s i.e group A (Control group) & group B (Case study group). The fasting glucose level was measured by glucose oxidase method while HbA1c% & serum cholesterol levels were determined by Kit method by using auto analyzer. The statistical analysis was done by SPSS 21 by applying ANOVA test for multiple variants. Results: The mean with S.D fasting blood glucose levels in control group was 78± 9.05 mg/dl while in case study group it was 134 ± 12.15mg/dl (p <0.05), HbA1c% levels in control group was 5.3 ± 1.1% while in case study group it was 7.4 ± 1.3% (p<0.05) and serum cholesterol in control group was 157± 9.75 mg/dl while in case study group it was 195 ± 8.78 mg/dl (p<0.05) was significantly (P<0.05). The glycemic index & fasting blood glucose levels significantly observed elevated in post menopausal women who were use statin drugs since last three years Conclusion: This study concluded that there was significant relation of statin drugs on increasing of blood glucose levels so they can induce the onset of Type-2 Diabetes Mellitus.
The Effect of Litter Size on Ewe and Their Lamb Performances under Intensive Management System

This study aims to determine the effect of litter size of ewes and lamb performances under an intensive care management system. The material used was 20 ewes consisting of single and twin litter sizes given the same rations. Ewes were kept in individual cages from four months of gestation to one month postpartum. The variables observed were ewe’s consumption, body weight, Body Condition Score (BCS), birth weight, and Average Daily Gain (ADG). Data were analyzed using one-way ANOVA (SPSS ver. 22). The results showed that the consumption of DM, CP was significantly different (P<0.05). The bodyweight of gestation, parturition, and one month after lambing ewes between litter sizes were not significantly different (P>0.05). Ewes BCS significantly affected the performances of single and twin litter sizes (gestation; 3.12±0.24 vs. 2.83±0.29 and one month after lambing; 2.82±0.25 vs. 2.50±0.00). The total birth weight of twins was higher than that of single twins (2.15±0.42 vs. 2.79±0.22 kg/ewe), while body weight after lambing and ADG of lambs was not significantly different (P>0.05). This study concluded that the litter size affects the BCS of ewes and the birth weight of the lambs, so it was a suitable parameter for ewe selection.
Evaluation of Liposome-Loaded Microbubbles as a Theranostic Tool in a Murine Collagen-Induced Arthritis Model

Rheumatoid arthritis (RA) is an autoimmune disease characterized by severe inflammation of the synovial tissue. Here, we assess the feasibility of liposome-loaded microbubbles as theranostic agents in a murine arthritis model. First, contrast-enhanced ultrasound (CEUS) was used to quantify neovascularization in this model since CEUS is well-established for RA diagnosis in humans. Next, the potential of liposome-loaded microbubbles and ultrasound (US) to selectively enhance liposome delivery to the synovium was evaluated with in vivo fluorescence imaging. This procedure is made very challenging by the presence of hard joints and by the limited lifetime of the microbubbles. The inflamed knee joints were exposed to therapeutic US after intravenous injection of liposome-loaded microbubbles. Loaded microbubbles were found to be quickly captured by the liver. This resulted in fast clearance of attached liposomes while free and long-circulating liposomes were able to accumulate over time in the inflamed joints. Our observations show that murine arthritis models are not well-suited for evaluating the potential of microbubble-mediated drug delivery in joints given: (i) restricted microbubble passage in murine synovial vasculature and (ii) limited control over the exact ultrasound conditions in situ given the much shorter length scale of the murine joints as compared to the therapeutic wavelength.
Willingness to Pay for Food Labelling Schemes in Vietnam: A Choice Experiment on Water Spinach

The growing concern for food safety and quality motivates governments and private sectors to improve consumers’ confidence in food systems, such as through adopting certifications and traceability systems. The recent emergence of diverse food labelling schemes and the turbulence in food systems in emerging countries have sparked questions about consumers’ valuation of such labels. Nonetheless, little is known on how the familiarity with, trust in and knowledge of these food labelling schemes affect consumers’ willingness to pay for labelling schemes in emerging market contexts. This study aims to address these literature gaps by investigating consumers’ valuation of existing certifications, branding and traceability labelling schemes in Vietnam. A face-to-face survey was conducted, including a discrete choice experiment on water spinach in Ho Chi Minh City, Vietnam. The findings indicated that Vietnamese consumers are generally willing to pay price premia for food labelling schemes, such as VietGAP certification, EU and USDA organic certifications, private branding and traceable Quick Response (QR) coding. While familiarity and understanding had no significant impact on Vietnamese consumers’ valuation, trust was found to be a critical factor shaping willingness to pay for products bearing VietGAP label. Policy implications and marketing strategies for organic certifications and traceability schemes in Vietnam are discussed.
The Role of Physical Activity, Enjoyment of Physical Activity, and School Performance in Learning Motivation among High School Students in Hungary

The goal of this study was to analyze the role of physical activity, enjoyment of physical activity, and school performance in the dimensions of learning motivation (Cognitive Domain, Affective Domain, Moral Domain, Adult Pressure). A total of 249 high school students were involved in this study, ranging in age from 14 to 19 years old. A self-administered questionnaire was filled out by the participants, including questions about sociodemographic background and school performance. The International Physical Activity Questionnaire was used to assess physical activity. Learning motivation was measured by the School Motivation Inventory. The Physical Activity Enjoyment Scale was used to determine the enjoyment of physical activity. Path analyses were chosen as a statistical method to understand the associations between the variables. Our findings reveal that learning motivation was associated with school performance and enjoyment of physical activity. Physical activity did not show any direct relationship with learning motivation, but it was positively associated with school performance and enjoyment of physical activity, hence showing an indirect relationship with learning motivation. Another important finding was the role of physical activity enjoyment. It has a preventive role concerning pressure from adults since such enjoyment strengthens the intrinsic motivation of students. We believe our findings highlight the benefits of physical activity and enjoyment of physical activity in learning environments.
Azotlu Gübre Dozlarının İtalyan Çimi ( Lolium italicum L.) Çeşitlerinin Ot Verimi ve Bazı Tarımsal Özelliklerine Etkisi

Bu arastirma, Italyan cimi cesitlerinin verimi ve kalitesini yukseltmede onemli bir potansiyeli olan azotlu gubrelerin degisik dozlarinin etkilerini belirlemek uzere yapilmistir. Orta Anadolu bolgesi kirac kosullarinda, 2008-2009 yillarinda yurutulmustur. Ankara Universitesi Ziraat Fakultesi Tarla Bitkileri Bolumu deneme tarlasinda tesaduf bloklarinda bolunmus parseller deneme desenine gore 3 tekrarlamali olarak kurulan calismada, azotlu gubre olarak amonyum nitrat (%33) gubresinin 0, 4, 8, 12, 16, 20 ve 24 kg/da dozlari ve Gemini, Tetraflorum ile Lolita Italyan cimi cesitleri kullanilmistir. Erken ilkbaharda 30 cm sira arasi verilerek ekilen parsellerde gerektigi donemlerde elle yabanci ot mucadelesi yapilmistir. Parsellerdeki bitkiler ciceklenme-basaklanma donemine geldiginde gozlemler ve hasat yapilmistir. Calismadan elde edilen sonuclara gore; Italyan cimi cesitleri arasinda incelenen ozelliklerden bitki boyu ve yesil ot verimi bakimindan onemli farkliliklar belirlenmistir. Azotlu gubre dozlari bitki boyu, sap kalinligi, yesil ve kuru ot verimi uzerine etkili olmustur. Calismanin yurutuldugu her iki yilda, bitki boyu, sap kalinligi, yesil ve kuru ot verimi arasinda farklilik bulunmustur. Ankara kosullarinda yapilacak Italyan cimi yetistiriciliginde yuksek verim ve kaliteli yem elde etmek icin 8 kg/da azot dozu kullanilmasi tavsiye edilebilir.
A South African study on antecedents of intention to quit amongst employees in bed and breakfast establishments in the Free State province

Bed and breakfasts (B&Bs) in South Africa are small accommodation establishments that strive to grow, whilst competing with large accommodation establishments (Hikido 2017). They are faced with several challenges such as low-paid employees who are not motivated to work because the work environment is stressful and demanding (Hlanyan & Acheampong 2017). Small accommodation businesses, especially B&Bs in South Africa, are also faced with the challenges of low income during off-seasons (Hsieh & Lin 2010), as well as competition from large accommodation establishments (Van Schalkwyk et al. 2010). It is, therefore, highly likely that B&B employees have high intentions to quit.
On Inductive Limit of Commutative Triples

In this paper, we extend Olshanski's work on Gelfand pairsÂ to commutative triples. We introduce the notion of spherical triples as generalization of commutative triples. We prove that inductive limit ofÂ increasing sequence of commutative triples is a spherical triple which shows that the former is also a generalization of spherical pairs. Furthermore we define spherical functions associated with this spherical triples. At end, we characterize this spherical functions by a functionnal equation and we give some of its properties.
Frequency Selective Surface for Ultra-Wide Band Filtering and Shielding

A frequency selective surface for spatial filtering in the standardized Ultra-Wide Band (UWB) frequency range is proposed. A very large stop-band of 1.75–15.44 GHz has been obtained, with good polarization insensitivity and an angular stability of more than 60∘ and more than 50∘ in TE and TM incidence, respectively. Circuit models have been devised. The structure has been assessed by electromagnetic simulation and implemented on an FR4 substrate of 1.6 mm thickness, with an edge of the square-shaped unit cell of 15 mm. Tests in an anechoic chamber demonstrated good matching between simulation and experimental results and proper operation of the device.
Improving Health Care for Patients with Multimorbidity: A Mixed-Methods Study to Explore the Feasibility and Process of Aligning Scheduled Outpatient Appointments through Collaboration between Medical Specialties

Background: Many patients with multimorbidity have appointments and parallel trajectories in several outpatient clinics across medical specialties. This organisation may disintegrate care and challenges the navigation of the healthcare system. Methods: This study explored the feasibility of an intervention targeting patients seen in several outpatient clinics for multiple diseases. The intervention aimed to coordinate outpatient appointments through enhanced collaboration across medical specialties. Feasibility and process were assessed through mixed methods by tracking the intervention through prospectively collected data and through semi-structured interviews with patients and healthcare professionals. Results: A multidisciplinary outpatient pathway was established as an intervention. Appointments for different medical specialties were scheduled on the same day, information was rapidly transferred to the receiving outpatient clinic, and a multidisciplinary conference resulted in the circulation of a joint summary. In the first year, 20% of eligible patients were enrolled. Appointments were aligned in 15% of patients, and blood samples were reduced by 29%. Overall, intervention components were delivered as intended and seemed acceptable, although the patient selection needed refinement. Conclusion: It seems feasible to set up an intervention for patients attending several hospital outpatient clinics. Future interventions should focus on selecting patients in greatest need for alignment of appointments.
Effects of Students Perception and Motivation on Online Accounting Learning During the Covid-19 Pandemic: Empirical Evidence of Accounting Students in Indo Global Mandiri University

This study aims to determine the effect of student perceptions and motivation on online accounting learning in the Covid-19 pandemic era. The data were obtained from observations and distributing questionnaires to 76 students majoring in the accounting study program at Universitas Indo Global Mandiri Palembang class of 2017-2020. The collected data were analyzed using the multiple linear regression analysis methods. Further statistical tests revealed a positive influence between perception and motivation respectively and simultaneously on online accounting learning in the era of the Covid-19 pandemic. Furthermore, the results show the coefficient of determination (R2) obtained a value of 0.586. This proves that students' perceptions and motivation affect online accounting learning by 58.6%, the remaining is influenced by other variables not included in this study.
Numerical Validation of a Simple Immersed Boundary Solver for Branched Channels Simulations

This contribution reports on an ongoing study of incompressible viscous fluid flow in two dimensional branched channels. A new finite difference solver was developed using a simple implementation of an immersed boundary method to represent the channel geometry. Numerical solutions obtained using this new solver are compared with outputs of an older finite volume code working on classical wall tted structured multiblock grid. Besides of the comparative evaluation of obtained solution, the aim is to verify whether the immersed boundary method is suitable (accurate and e cient enough) for simulations of flow in channels with complicated geometry where the the grid generation might be challenging.
Machine Learning: Assisted Cardiovascular Diseases Diagnosis

Detecting cardiovascular problems during their early stages is one of the great difficulties facing physicians. Cardiovascular diseases contribute to the deaths of around 18 million patients every year worldwide. That's why heart disease is a critical worry that must be addressed. However, it can be difficult to detect heart disease because of the multiple factors that affect health, such as high blood pressure, increased cholesterol, abnormal pulse rate, and many other factors. Therefore, the field of artificial intelligence can be instrumental in detecting diseases early on and finding an appropriate solution. This paper proposes a model for diagnosing the probability of an individual having cardiovascular illness by employing Machine Learning (ML) models. The experiments were executed using seven algorithms, and a public dataset of cardiovascular disease was used to train the models. A Chisquare test was used to identify the most important features to predict cardiovascular disease. The experiment results showed that Multi-Layer Perceptron gives the highest accuracy of disease prediction at 87.23%. Keywords—Cardiovascular diseases; artificial intelligence; prediction; multi-layer perceptron
Polyphenol Rich Forsythia suspensa Extract Alleviates DSS-Induced Ulcerative Colitis in Mice through the Nrf2-NLRP3 Pathway

This study systematically evaluated the effect of Forsythia suspensa extract on dextran sodium sulfate (DSS)-induced ulcerative colitis (UC) and determined its mechanism of action. The results showed that Forsythia suspensa extract significantly inhibited DSS-induced UC in mice. In vivo mechanistic studies revealed that Forsythia suspensa extract relieved the symptoms of colitis by enhancing antioxidant activity and inhibiting pyroptosis. Further in vitro experiments on the mechanism of Forsythia suspensa showed that it reduced the level of reactive oxygen species (ROS) in J774A.1 cells. We found that Forsythia suspensa extract enhanced cellular antioxidation activity and inhibited pyroptosis. After silencing NLRP3, it was found to play an important role in pyroptosis. In addition, after Nrf2 was silenced, the inhibitory effect of Forsythia suspensa extract on cell pyroptosis was eliminated, indicating an interaction between Nrf2 and NLRP3. Metabonomics revealed that Forsythia suspensa extract significantly improved metabolic function in colitis mice by reversing the abnormal changes in the levels of 9 metabolites. The main metabolic pathways involved were glutathione metabolism, aminoacyl-tRNA biosynthesis and linoleic acid metabolism. In conclusion, we found that Forsythia suspensa extract significantly alleviated DSS-induced UC injury through the Nrf2-NLRP3 pathway and relieved metabolic dysfunction.
A Neural Approach to Program Synthesis for Tabular Transformation by Example

Data transformation is a laborious and time-consuming task for analysts to properly prepare the data for analysis. Programming by example (PBE) is a technology that makes this troublesome task easier for data analysts by automatically generating programs for data transformation. In the past, most PBE research has been based on search algorithms, but with the recent success of machine learning (ML), PBE research using ML has emerged. For example, RobustFill, an ML-based PBE for string transformations using long-short-term memory (LSTM) as the sequential encoder-decoder model, has been proposed. However, there is still no ML-based PBE research for tabular transformations, which are frequently used in data analysis. This paper proposes an ML-based PBE for tabular transformations. First, we address tabular transformations, which are more complex and data-intensive than string transformations, and propose a new ML-based PBE based on the state-of-the-art Transformer sequential encoder-decoder model. To the best of our knowledge, this is the first ML-based PBE for tabular transformations. Next, we propose two decoding methods, multistep beam search and Program Validation (PV)-Beam Search, which are optimized for program generation and so generate correct programs with higher accuracy. The evaluation results show that the Transformer-based PBE achieves much higher performance than LSTM-based PBE when applied to tabular transformations and furthermore, the Transformer-based model with the proposed decoding method outperforms the conventional PBE using the search-based method.
Molecular Mechanisms of Anti-Neoplastic and Immune Stimulatory Properties of Oncolytic Newcastle Disease Virus

Oncolytic viruses represent interesting anti-cancer agents with high tumor selectivity and immune stimulatory potential. The present review provides an update of the molecular mechanisms of the anti-neoplastic and immune stimulatory properties of the avian paramyxovirus, Newcastle Disease Virus (NDV). The anti-neoplastic activities of NDV include (i) the endocytic targeting of the GTPase Rac1 in Ras-transformed human tumorigenic cells; (ii) the switch from cellular protein to viral protein synthesis and the induction of autophagy mediated by viral nucleoprotein NP; (iii) the virus replication mediated by viral RNA polymerase (large protein (L), associated with phosphoprotein (P)); (iv) the facilitation of NDV spread in tumors via the membrane budding of the virus progeny with the help of matrix protein (M) and fusion protein (F); and (v) the oncolysis via apoptosis, necroptosis, pyroptosis, or ferroptosis associated with immunogenic cell death. A special property of this oncolytic virus consists of its potential for breaking therapy resistance in human cancer cells. Eight examples of this important property are presented and explained. In healthy human cells, NDV infection activates the RIG-MAVs immune signaling pathway and establishes an anti-viral state based on a strong and uninhibited interferon α,ß response. The review also describes the molecular determinants and mechanisms of the NDV-mediated immune stimulatory effects, in which the viral hemagglutinin-neuraminidase (HN) protein plays a prominent role. The six viral proteins provide oncolytic NDV with a special profile in the treatment of cancer.