Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Responsible for Prehospital Delay in Patients with Acute Coronary Syndrome in Bangladesh

Background: Acute coronary syndrome (ACS) remains a cause of high morbidity and mortality among adults, despite advances in treatment. Treatment modality and outcomes of ACS mainly depend on the time yielded since the onset of symptoms. Prehospital delay is the time between the onset of myocardial ischemia/infarction symptoms and arrival at the hospital, where either pharmacological or interventional revascularization is available. This delay remains unacceptably long in many countries worldwide, including Bangladesh. The current study investigates several sociodemographic characteristics as well as clinical, social, and treatment-seeking behaviors, with an aim to uncover the factors responsible for the decision time to get medical help and home-to-hospital delay. Materials and Methods: A prospective cross-sectional study was conducted between July 2019 and June 2020 in 21 district hospitals and 6 medical college hospitals where cardiac care facilities were available. The population selected for this study was patients with ACS who visited the studied hospitals during the study period. Following confirmation of ACS, a semi-structured data sheet was used to collect the patient data and was subsequently analyzed. Results: This study evaluated 678 ACS patients from 30 districts. The majority of the patients were male (81.9%), married (98.2%), rural residents (79.2), middle-aged (40–60 years of age) (55.8%), low-income holders (89.4%), and overweight (56.9%). It was found that 37.5% of the patients received their first medical care after 12 h of first symptom presentation. The study found that the patients’ age, residence, education, and employment status were significant factors associated with prehospital delay. The patients with previous myocardial infarction (MI) and chest pain arrived significantly earlier at the hospital following ACS onset. Location of symptom onset, first medical contact with a private physician, distance from symptom onset location to location of first medical contact, the decision about hospitalization, ignorance of symptoms, and mode of transportation were significantly associated with prehospital delay. Conclusions: Several factors of prehospital delay of the ACS patients in Bangladesh have been described in this study. The findings of this study may help the national health management system identify the factors related to treatment delay in ACS and thus reduce ACS-related morbidity and mortality.
Immune response to SARS-CoV-2 mRNA vaccination and booster dose in patients with multiple myeloma and monoclonal gammopathies: impact of Omicron variant on the humoral response

ABSTRACT The humoral and cellular response to SARS-CoV-2 mRNA full vaccination and booster dose as well as the impact of the spike variants, including Omicron, are still unclear in patients with multiple myeloma (MM) and those with pre-malignant monoclonal gammopathies. In this study, involving 40 patients, we found that MM patients with relapsed-refractory disease (MMR) had reduced spike-specific antibody levels and neutralizing titers after SARS-CoV-2 vaccination. The five analyzed variants, remarkably Omicron, had a significant negative impact on the neutralizing ability of the vaccine-induced antibodies in all patients with MM and smoldering MM. Moreover, lower spike-specific IL-2-producing CD4+ T cells and reduced cytotoxic spike-specific IFN-γ and TNF-α-producing CD8+ T cells were found in MM patients as compared to patients with monoclonal gammopathy of undetermined significance. We found that a heterologous booster immunization improved SARS-CoV-2 spike humoral and cellular responses in newly diagnosed MM (MMD) patients and in most, but not all, MMR patients. After the booster dose, a significant increase of the neutralizing antibody titers against almost all the analyzed variants was achieved in MMD. However, in MMR patients, Omicron retained a negative impact on neutralizing ability, suggesting further approaches to potentiating the effectiveness of SARS-CoV-2 vaccination in these patients.
Effects of Vegetation Heterogeneity on Multiphasic Treatment Outcomes in Sagebrush Steppe

Exotic annual grass invasion into western North America has led to significant loss of native perennials, altering the structure and function of sagebrush-steppe ecosystems. Monitoring and assessment of necessary restoration treatments have provided mixed evidence of success. We hypothesized that treatment outcomes would be influenced by restoration strategy (e.g., the timing of herbicide or drill seeding) and by within-treatment vegetation heterogeneity. We evaluated exotic annual grass and exotic perennial forb response to three replicate treatments of the pre-emergent herbicides indaziflam and imazapic, and a combination treatment of both herbicides, followed with the broadleaf herbicide, aminopyralid, at a highly invaded site in Southern Idaho. A litter removal study was integrated to investigate the effects of thatch cover on herbicide application and two different revegetation methods, drill seeding and hand planting of native perennial seedlings, were nested into herbicide treatments. We accounted for vegetation heterogeneity within treatments by identifying pre-existing plant-community patch types and mapping their locations across the research site using high spatial resolution aerial imagery. We found that imazapic had no detectable effects on exotic annual grass cover, but significantly reduced exotic annual grass seedling density the first two years post-treatment. Indaziflam treatments effectively reduced exotic annual grasses for three years post-treatment, most notably the combination treatment of imazapic and indaziflam. Accounting for vegetation heterogeneity in our predictive models improved our ability to detect exotic annual grass response to treatment by a 5% change in cover. None of the drill seeded plants emerged in either the treatments or controls for the duration of this study and all but a few native seedling plantings failed, precluding any meaningful revegetation comparisons between treatments. We were also unable to detect an influence of residual thatch on herbicide outcomes but did find that precipitation played a significant role in herbicide effectiveness. Overall, our findings suggest that indaziflam can be an effective tool for reducing exotic annual grasses in restoration, particularly when combined with imazapic, and that implementation of multiple sampling methods can provide greater insight into treatment outcomes. Additionally, our results indicate that accounting for plant-community patches in predictive models can improve model accuracy and therefore our ability to detect treatment effects.
Evolution of Interferon-Gamma Aptamer with Good Affinity and Analytical Utility by a Rational In Silico Base Mutagenesis Post-SELEX Strategy

The Systematic Evolution of Ligands by EXponential enrichment (SELEX) is conventionally an effective method to identify aptamers, which are oligonucleotide sequences with desired properties to recognize targets specifically and sensitively. However, there are some inherent limitations, e.g., the loss of potential high-affinity sequences during biased iterative PCR enrichment processes and the limited structural diversity of the initial library, which seriously restrict their real-world applications. To overcome these limitations, the in silico base mutagenesis post-SELEX strategy based on the low Gibbs free energy (ΔG) and genetic algorithm was developed for the optimization of the interferon-gamma aptamer (B1-4). In the process of evolution, new sequences were created and the aptamer candidates with low ΔG values and advanced structures were produced. After five rounds of selection, systematic studies revealed that the affinity of the newly developed evolutionary aptamer (M5-5) was roughly 10-fold higher than that of the parent aptamer (B1-4), and an aptasensor detection system with a limit-of-detection (LOD) value of 3.17 nM was established based on the evolutionary aptamer. The proposed approach provided an efficient strategy to improve the aptamer with low energy and a high binding ability, and the good analytical utility thereof.
A Combined Treatment Effect of Cilostazol and Pentoxifylline in the Treatment of Peripheral Vascular Disease

Background: (50 mg BD) and pentoxifylline (400 mg TDS) therapy in patients with PVD. Additionally, the adverse effects and economic burden of the combination was taken in to account. Methodology: An Observational antegrade study was done among 100 patients. A Patient with PVD visited to OPD of the vascular department was enrolled in the study. Data was collected as per the Case Record Form. Results: The mean age was found to be 58.4 ± 11.3 years of total 100 patients. An improvement in a Doppler testing (follow-up at the time interval after 1 month, 3 months and 6 months) and increased in peak systolic velocity in distal vessels as well as collaterals were observed in all patients. The PVD was prevalent in 50 to 60 years of age groups and hypertension and smoking were the most common risk factors present in PVD patients. There was more than 70% increase in walking distance after 24 weeks of treatment. Headache 24 (36.4%) and Dizziness 9 (13.6%) were observed as common side effect of therapy. The total cost of the combination therapy was affordable with improved quality of life. Conclusion: The combination treatment showed symptomatic improvement in peripheral vascular disease in the study. The peak systolic velocity gradually increased in the distal vessel and the combination was found to be cost-effective.
The Effect of Supply Chain Management on Competitive Advantage: Mediating Role of Supply Chain Responsiveness in Ethiopian Food Processing Industry

This study aims to examine the indirect impact of supply chain management (SCM) in its five dimensions (supplier relationship, customer relationship, information sharing, information quality and postponement) on the competitive advantage in its five dimensions (Cost, Quality, Delivery Time, flexibility, and innovation) through supply chain responsiveness as a mediator. Furthermore, 234 questionnaires were distributed in food processing industries. The total of 215 questionnaires was analyzed. For a robust result, we conducted exploratory factor analysis (EFA) using Varimax rotation and confirmatory factor analysis (CFA) to check the scale. Furthermore, we test validation of the second-order construct. Structural equations modelling (SEM) using AMOS 24 was used to test the hypotheses. The results of analysis show that the supply chain management practice (SCMP) has a positive and statistically significant influence on supply chain responsiveness (β = 0.909, p-value = 0.000) and the competitive advantage of firms with the standardized coefficient of (β= 0.639, p-value = 0.000). Similarly, the supply chain responsiveness has a positive and significant effect on competitive advantage by (β = 0.352, p-value = 0.000), on the other hand, supply chain management practice (SCMP) has a significant indirect effect on competitive advantage by (β = 0.320, p-value = 0.000) through supply chain responsiveness. Accordingly, we suggest that managers of food processing should properly manage their supply chain management practice, develop a responsive supply chain to gain a competitive advantage. But this study was limited only to food processing with plc and Share Company.
Tensor Multi-Clustering Parallel Intelligent Computing Method Based on Tensor Chain Decomposition

Adaptable methods for representing higher-order data with various features and high dimensionality have been demanded by the increasing usage of multi-sensor technologies and the emergence of large data sets. Arrays of multi-dimensional data, known as tensors, can be found in a variety of applications. Standard data that depicts things from a single point of view lacks the semantic richness, utility, and complexity of multi-dimensional data. Research into multi-clustering has taken off since traditional clustering methods are unable to handle large datasets. There are three main kinds of multi-clustering algorithms: Self-weighted Multiview Clustering (SwMC), Latent Multi-view Subspace Clustering (LMSC), and Multi-view Subspace Clustering with Intactness-Aware Similarity (MSC IAS) that are explored in this paper. To evaluate their performance, we do in-depth tests on seven real-world datasets. The three most important metrics Accuracy (ACC), normalized mutual information (NMI), and purity are grouped. Furthermore, traditional Principal Component Analysis (PCA) cannot uncover hidden components within multi-dimensional data. For this purpose, tensor decomposition algorithms have been presented that are flexible in terms of constraint selection and extract more broad latent components. In this examination, we also go through the various tensor decomposition methods, with an emphasis on the issues that classical PCA is designed to solve. Various tensor models are also tested for dimensionality reduction and supervised learning applications in the experiments presented here.
Electrical and Magnetic Transport Properties of Co2VGa Half-Metallic Heusler Alloy

This study performed a systematic experimental investigation into the structural, magnetic, and transport properties of the Co2VGa Heusler alloy, which was theoretically predicted to exhibit half-metallic ferromagnetism. It has been experimentally found that the studied alloy has a relatively high-ordered L21 cubic structure at room temperature and orders ferromagnetically below ~350 K. Interestingly, by fitting the electric transport data with the properly governing equations in two different temperature regions, the two-magnon scattering process (the T9/2 dependence) appears in the temperature range from 30 to 75 K. Moreover, the magnetoresistance effect changes from a negative value to a positive value when the temperature is below 100 K. Such experimental findings provide indirect evidence that the half-metallic nature of this alloy is retained only when the temperature is below 100 K. On the other hand, the magnetic transport measurements indicate that the anomalous Hall coefficient of this alloy increases when the temperature increases and reaches a relatively high value (~8.3 μΩ·cm/T) at 300 K due to its lower saturated magnetization. By analyzing the anomalous Hall resistivity scale with the longitudinal resistivity, it was also found that the anomalous Hall effect can be ascribed to the combined effect of extrinsic skew scattering and intrinsic Berry curvature, but the latter contribution plays a dominant role.
Extracellular Vesicles in Sickle Cell Disease: A Promising Tool

Sickle cell disease (SCD) is the most common hemoglobinopathy worldwide. It is characterized by an impairment of shear stress-mediated vasodilation, a pro-coagulant, and a pro-adhesive state orchestrated among others by the depletion of the vasodilator nitric oxide, by the increased phosphatidylserine exposure and tissue factor expression, and by the increased interactions of erythrocytes with endothelial cells that mediate the overexpression of adhesion molecules such as VCAM-1, respectively. Extracellular vesicles (EVs) have been shown to be novel actors involved in SCD pathophysiological processes. Medium-sized EVs, also called microparticles, which exhibit increased plasma levels in this pathology, were shown to induce the activation of endothelial cells, thereby increasing neutrophil adhesion, a key process potentially leading to the main complication associated with SCD, vaso-occlusive crises (VOCs). Small-sized EVs, also named exosomes, which have also been reported to be overrepresented in SCD, were shown to potentiate interactions between erythrocytes and platelets, and to trigger endothelial monolayer disruption, two processes also known to favor the occurrence of VOCs. In this review we provide an overview of the current knowledge about EVs concentration and role in SCD.
Lateral Quantum Dots for Quantum Information Processing

The possibility of building a computer that takes advantage of the most subtle nature of quantum physics has been driving a lot of research in atomic and solid state physics for some time. It is still not clear what physical system or systems can be used for this purpose. One possibility that has been attracting significant attention from researchers is to use the spin state of an electron confined in a semiconductor quantum dot. The electron spin is magnetic in nature, so it naturally is well isolated from electrical fluctuations that can a loss of quantum coherence. It can also be manipulated electrically, by taking advantage of the exchange interaction. In this work we describe several experiments we have done to study the electron spin properties of lateral quantum dots. We have developed lateral quantum dot devices based on the silicon metal-oxide-semiconductor transistor, and studied the physics of electrons confined in these quantum dots. We measured the electron spin excited state lifetime, which was found to be as long as 30 ms at the lowest magnetic fields that we could measure. We fabricated and characterized a silicon double quantum dot. Using this double quantum dot design, we fabricated devices which combined a silicon double quantum dot with a superconducting microwave resonator. The microwave resonator was found to be sensitive to two-dimensional electrons in the transistor channel, which we measured and characterized. We developed a new method for extracting information from random telegraph signals, which are produced when we observe thermal fluctuations of electrons in quantum dots. The new statistical method, based on the hidden Markov model, allows us to detect spin-dependent effects in such fluctuations even though we are not able to directly observe the electron spin. We use this analysis technique on data from two experiments involving gallium arsenide quantum dots and use it to measure spin-dependent tunneling rates. Our results advance the understanding of electron spin physics in lateral quantum dots, in silicon and in gallium arsenide.
Evaluation of Hepatic Detoxification Effects of Enteromorpha prolifera Polysaccharides against Aflatoxin B1 in Broiler Chickens

Aflatoxin B1 (AFB1) is a major risk factor in animal feed. Seaweed (Enteromorpha prolifera)-derived polysaccharides (SDP) are natural antioxidants with multiple biological functions, which may have an in vivo detoxification effect on AFB1. The current study aimed to evaluate whether SDP could mitigate AFB1-induced hepatotoxicity in broilers. A total of 216 chickens (male, 5 weeks old) were randomly allocated to three groups with differing feeding patterns, lasting 4 weeks: (1) control group (CON, fed a basal diet); (2) AFB1 group (fed a basal diet mixed with 0.1 mg/kg AFB1); and (3) AFB1 + SDP group (AFB1 group + 0.25% SDP). The results showed that dietary SDP improved the liver function-related biochemical indicators in serum, and reversed the increase in relative liver weight, hepatic apoptosis and histological damage of broilers exposed to AFB1. SDP treatment also reduced the activity and mRNA expression of phase I detoxification enzymes, while increasing the activity and mRNA expression of phase II detoxification enzymes in the livers of AFB1-exposed broilers, which was involved in the activation of p38 mitogen-activated protein kinase (p38MAPK)/nuclear factor erythroid 2-related factor 2 (Nrf2) signaling. In conclusion, dietary SDP alleviated AFB1-induced liver injury of broilers through inhibiting phase I detoxification enzymes and upregulating p38MAPK/Nrf2-mediated phase II detoxification enzymes pathway.
Searches for supersymmetry in events with three leptons at the ATLAS Detector

This thesis presents searches for supersymmetry in √s=7 TeV and 8 TeV proton-proton collisions at the LHC using data collected by the ATLAS detector in 2011 and 2012. Events with exactly three electrons or muons and missing transverse energy were selected, since these can be a striking signature of supersymmetry with low Standard Model background. Additional kinematic criteria were investigated and applied in order to increase the sensitivity to supersymmetric signals. Standard Model backgrounds were estimated by a combination of Monte Carlo simulations and data-driven techniques. The agreement between data and background predictions was validated before analysing data in the signal regions. No significant excess was recorded in any of the analyses performed: the results were therefore interpreted as lower bounds on the masses of supersymmetric particles in a variety of different model scenarios.
Galois representations attached to automorphic forms on ${\rm GL}_2$ over ${\rm CM}$ fields

Abstract In this paper we generalize the work of Harris–Soudry–Taylor and construct the compatible systems of two-dimensional Galois representations attached to cuspidal automorphic representations of cohomological type on ${\rm GL}_2$ over a CM field with a suitable condition on their central characters. We also prove a local-global compatibility statement, up to semi-simplification.
DEMOGRAPHIC AND MORPHOLOGIC CHARACTERISTICS OF BONE METASTASES – 11 YEARS SINGLE CENTER EXPERIENCE

This is an epidemiological study of bone metastasis (BM) diagnosed and treated in a period of 11 years. Age and sex distribution of BM, localization, origin of primary malignancy, plain radiography appearance, therapeutic options and survival of the patients were evaluated. Of 86 patients, 52 were female and 34 male, ranging in age from 44 to 87 years. The most common site of BM was femur, followed by spine and humerus, and the most common primary malignances were in the breast, lung, kidney and prostate, respectively. Almost one third of patients were with unknown primary malignancy at the time of BM diagnosis.The analysis of patients’ plain radiographies revealed that most BM were osteolytic lesions. the analyzed parameters in this study on the survival of the patients. Only 26.74% of patients survived 24 months and the high 73.26% survived 1 to 24 months.
Comparison of Cervical Joint Position Sense in Computer Users with Neck Pain, Forward Head Posture, Asymptomatic and Non-Computer Users – A Cross-Sectional Study

Abstract Purpose People use computers in offices and workplaces daily to perform different activities. Impaired cervical proprioception and forward head posture (FHP) may contribute to the development and maintenance of neck pain in computer users. The aims of this study are 1) to compare cervical joint position sense (JPS) in computer users with neck pain, with FHP, healthy computer users, and healthy non-computer users, 2) to assess the relationship between cervical JPS and age, BMI, pain, disability, head posture, and duration of computer usage. Materials and Methods This cross-sectional study included 134 subjects aged between 25 to 50 years old in four groups (Group 1: computer users with neck pain (n=31), group 2: computer users with FHP (n=33), Group 3: healthy computer users (n=35), and Group 4: healthy non-computer users (n=35). The cervical JPS was evaluated in flexion, extension left and right rotation directions using a cervical range of motion device. The reposition accuracy is estimated as joint position error (JPE) in degrees. The cervical JPS is compared between groups and correlated with age, BMI, pain, disability, head posture, and duration of computer usage. Results and Discussion The mean cervical JPE's were significantly larger in the neck pain group (p<0.001) and in the FHP group (p<0.001) compared to other groups. There were no significant differences in JPE's between healthy computer users and non-users (p.>0.05). There was a significant positive correlation between JPE's and age, pain intensity, disability, and computer usage duration. Conclusion Computer users with neck pain and with FHP had significantly impaired cervical JPS. Factors like FHP, pain intensity, disability, and duration of computer usage may influence cervical JPS, and these factors can be considered when assessing and planning treatment strategies for computer professionals.