Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of Prescription Pattern Prescribed to Patients Affected by Rheumatoid Arthritis: A Cross Sectional Health Survey Conducted in Different Hospitals of Bangladesh

Introduction: Rheumatoid arthritis (RA) is a systemic autoimmune disease that affects the joints with variable degrees of severity depending on the patient. As it is a chronic disease and patients have to go through medication for a long period of time, choosing the proper drug is very crucial to avoid irrational use of drug. The present study was designed to evaluate the usual prescription pattern that are prescribed by the physicians, and unveiling the scenario of patient care treating for arthritis. Materials and Methods: The current survey-based research study was conducted in seven divisional areas of Bangladesh. Data was collected for Five months periods from September 2020 to January 2021. This cross-sectional study was carried out at a variety of private and governmental hospitals. The study included 300 individuals who had been on antirheumatic medicines for at least six months. Patient demographic details, prescribed drugs, adverse drug reactions, and use of complementary and substitute medicine were used to analyze the pattern of drug use. Results and Discussions: The results of the study found that most of the patients are from 40 to 60 years of age. The number of drug prescribed ranges from 3 to 8, with an average of 6.1 medicines per prescription. The most used Disease-modifying antirheumatic drugs (DMARDs) were tofacitinib, glucocorticosteroids were prednisolone and NSAIDs were Aceclofenac group. None of these drugs were prescribed as generic names, rather proprietary names were used. Conclusion: Most of the patients are treated with more than one drug to fight against arthritis. So the incidence of drug interaction should be observed carefully. Moreover, both the prescriber and patient should be aware of ensuring rationale use of drug.
Insects as a New Complex Model in Hormonal Basis of Obesity

Nowadays, one of the biggest problems in healthcare is an obesity epidemic. Consumption of cheap and low-quality energy-rich diets, low physical activity, and sedentary work favor an increase in the number of obesity cases within many populations/nations. This is a burden on society, public health, and the economy with many deleterious consequences. Thus, studies concerning this disorder are extremely needed, including searching for new, effective, and fitting models. Obesity may be related, among other factors, to disrupting adipocytes activity, disturbance of metabolic homeostasis, dysregulation of hormonal balance, cardiovascular problems, or disorders in nutrition which may lead to death. Because of the high complexity of obesity, it is not easy to find an ideal model for its studies which will be suitable for genetic and physiological analysis including specification of different compounds’ (hormones, neuropeptides) functions, as well as for signaling pathways analysis. In recent times, in search of new models for human diseases there has been more and more attention paid to insects, especially in neuro-endocrine regulation. It seems that this group of animals might also be a new model for human obesity. There are many arguments that insects are a good, multidirectional, and complex model for this disease. For example, insect models can have similar conservative signaling pathways (e.g., JAK-STAT signaling pathway), the presence of similar hormonal axis (e.g., brain–gut axis), or occurrence of structural and functional homologues between neuropeptides (e.g., neuropeptide F and human neuropeptide Y, insulin-like peptides, and human insulin) compared to humans. Here we give a hint to use insects as a model for obesity that can be used in multiple ways: as a source of genetic and peptidomic data about etiology and development correlated with obesity occurrence as well as a model for novel hormonal-based drug activity and their impact on mechanism of disease occurrence.
Effects of food programme for enhancing obesity children healthy of their abilities and expectations to self-efficacy for preventing early childhood

This study aims to assess parents’ perceptions of their responses to the perceived awareness programme competency abilities and expectations for enhancing parents on weight control of their pre-school children in preventing with Obesity. It has defined self-efficacy as one’s belief in one’s ability to succeed in specific situations and accomplish a task with the theoretical framework of Bandura’s Model by quasi-experimental research in 16 weeks. To promote the self-efficacy and expectations, the 10-item Questionnaire on Self-Efficacy Program, the 22-item Questionnaire on Parents’ Efficacy Interaction, and the 46-item Questionnaire on Parental Expectations assessed parents’ perceptions. A sample size consisted of 14-pre-school children whose age ranged 2-5 years old at the Child Development Demonstration Centre, Khon Kaen University was selected. Providing knowledge, teaching, demonstration, experimentation, and organized activities were organized. Parents’ perceptions of their abilities for controlling children’s weight and height with pre- and post-experimental programmes differentiated, significantly. Parents’ responses to the post performances are over than pre-experiment for the QSEP, the QPEA, and the QPE, differently. They answered and followed up on child management with parents online for 16 weeks, continuously. The obese early childhood at the CDC Demonstration Centre, Faculty of Nursing used the food programme to self-efficacy with their parents taking part and cooperating well in specifying research objectives. There are 2,958,441 children in rural areas are lacking attention, because of food and health problems in the 19,171-Child Development Centres none yet have food programmes to prevent health and hygiene problems. Although Thailand took the next leap forward for its investment in Early Childhood Development through legislation, improved quality services, and social transfer grants for families with young children since 2018.
Comparative study between adsorbents based on magnetic nanoferrite. Application to the removal of methyl orange from wastewater

Magnetic ferrite (Mg-doped bismuth ferrite) and its clay-based composite (Mg-doped bismuth ferrite-bentonite) were prepared by self-combustion method utilizing glycine as fuel and served for the removal of methyl orange (MO) from aqueous solutions. The ferrite-based adsorbents were characterized by the measurement of specific surface area (BET), scanning electron microscopy (SEM), Fourier Transform Infrared Spectroscopy (FTIR), X-ray diffraction (XRD). The different experimental parameters that affect the performance of this reaction such as: temperature, contact time, initial dye concentration and mass of adsorbent were investigated. The point of zero charge pH (pHPZC) was determined for the two adsorbents. Langmuir and Freundlich adsorption models were employed to provide a description of the equilibrium isotherms. Adsorption tests showed that the equilibrium time is a function of the initial concentration of dye. The adsorption kinetic study indicated that the equilibrium adsorption is established after 300 minutes for Mg-doped bismuth ferrite, while it is established after 180 minutes for Mg-doped bismuth ferrite-bentonite composite. Furthermore, this suggests that the adsorption of MO on both adsorbents can be perfectly described by pseudo-second order kinetics. The maximum adsorption capacity determined by the mathematical model of Langmuir is equal to 181.8 mg.g-1 for Mg-doped bismuth ferrite and to 188.7 mg.g-1 for its composite, at 298 K. Adsorption isotherms shows that the Freundlich model perfectly represents adsorption of methyl orange to the prepared Mg-doped bismuth ferrite. The ferrite/bentonite composite has 2-50 nm-sized pores and is indeed a mesoporous material. The small pores observed on the surface of the adsorbents are in line with type IV isotherm, with possible capillary condensation of the adsorbate. Moreover, Langmuir model seems to be the most suitable model for the absorption of methyl orange on the Mg-doped bismuth ferrite-bentonite composite. The thermodynamic parameters related to the sorbent/adsorbate system indicate that adsorption is spontaneous and exothermic. The determination of isosteric heat of adsorption suggested that it is indeed a physisorption characterized by weak intermolecular forces between MO and the surface.
Side effects of methotrexate therapy in patients with rheumatoid arthritis

Introduction: Methotrexate is widely used as the most common disease-modifying anti-rheumatoid drug (DMARD) and is known as the first line treatment for rheumatoid arthritis (RA). Objectives: To assess the side effects of methotrexate in Iranian patients with RA and to compare them with the known side effects from previous studies. Patients and Methods: We conducted a cross-sectional study of 300 patients who fulfilled the EULAR 2010 criteria of RA. The following data were recruited from patients’ profiles; age, body mass index (BMI), duration of treatment with methotrexate, initiating dose, maximum dose and current dose of methotrexate, history of fatty liver disease or hepatitis B and concomitant use of sulfasalazine, leflunomide or hydroxychloroquine. Results: In 149 out of 300 patients (49.66%), Methotrexate therapy was stopped or tapered due to side effects including nausea (23%), flu-like symptoms (8%), hepatotoxicity (12%) and hair loss (6%). The patients with hepatotoxicity had a higher duration of treatment with methotrexate (10.35 compared with 5.83; P<0.001) and also the higher initiating dose of methotrexate (12.91 compared with 12.17; P=0.010). All of the RASS (rheumatoid arthritis severity scale) indexes including disease activity, functional impairment, and physical damage are related to the presence of hepatotoxicity (P<0.001). Conclusion: Methotrexate is an excellent and effective agent for the treatment of RA and its potential side effects during the treatment are dependent on the methotrexate dosage, the level of anti-citrullinated protein antibody (ACPA) and anti-MCV antibodies and concomitant use of other drugs such as leflunomide.
Adaptive Finite-Time Control on SE(3) for Spacecraft Final Proximity Maneuvers with Input Quantization

In this paper, a bounded finite-time control strategy is developed for the final proximity maneuver of spacecraft rendezvous and docking exposed to external disturbance and input quantization. To realize the integrated control for spacecraft final proximity operation, the coupling kinematics and dynamics of attitude and position are modeled by feat of Lie group SE 3 . With a view to improving the convergence rate and reducing the chattering, an adaptive finite-time controller is proposed for the error tracking system with one-step theoretical proof of stability. Meanwhile, the hysteresis logarithmic quantizer is implemented to effectively reduce the frequency of data transmission and the quantization errors are reduced under the proposed controller. The algorithms outlined above are based on an integrated model expressed by SE 3 and denoted by uniform motion states, which can simplify the design progress and improve control precision. Finally, simulations are provided to exhibit the effectiveness and advantages of the designed strategy.
Factors Influencing Food Selectivity and Food Preferences of Children with Autism Spectrum Disorder

Aims: To determine the Food Preferences and factors influencing food selectivity for children with Autism Spectrum Disorders. Study Design: It was a cross-sectional survey. Place and Duration of Study: Data was collected within the time frame of six months from February 2019 to July 2019. Data was collected from different educational centers, rehabilitation centers, clinics and special education schools in Lahore, Pakistan. Methodology: A cross-sectional survey was conducted using convenient sampling technique. Data was collected from parents of children with Autism by using a questionnaire. Data was collected within the time frame of six months from February 2019 to July 2019. Data was collected from different educational centers, rehabilitation centers, clinics and special education schools in Lahore, Pakistan. Results: In sample of 68 children 22 (32.4%) were female and 46 (67.6%) were male. Out of 68 children, 55(80.8%) liked rice ,40(58.8%) liked junk food, 41(60.2%) liked bread, 38(55.8%) liked crunchy food and 36(53%) liked fruits. Out of 68 children 32(47%) didn’t need certain silverware or temperature to eat food, 33(48%) didn’t prefer to sit with specific person or chair at meals, 31(.5%) didn’t show any behavior like crying and screaming, 30(44.1%) didn’t refuse food if not in a presentable way and 30(44.1%) disagreed to eat single food three times. Conclusion: This study significantly shows that children with Autism Spectrum Disorder has some food preferences. They like to eat soft food like rice and bread rather than churchy one, they like fruits, vegetable, junk food. They show behaviors like throw food while eating and refuses to self-feed. They prefer to watch TV or any electronic device at mealtime. Due to their sensory issues they refuse to taste new food. The result indicates that autistic child has food preferences and they show limited acceptance towards food.
Evaluation of Interview Application based on Radon System

The interview process is an important process in collecting data on the developmentof a master plan where data collection is currently done manually. the manual data collectionstage results in a delay in the analysis process. in the end, it caused a delay in the entire scheduleof the project being worked on. in this study researchers designed and developed a surveyapplication that serves to facilitate a surveyor in collecting data. Survey application design usingUML consisting of usecase diagrams, sequence diagrams, and ERD. this application was alsobuilt using the django framework. This application analysis uses a library that is Radon. by usingradon applications can be calculated using several indicators such as cyclomatic cycle(CC),maintability index (MI) and the risk of the application. the results of this study have beendeveloped a survey application where this application has a low CC level, a high MI level and alow level of risk.
How may the reduction of some cardiovascular diseases affect Brazilian population’s life expectancy?

Abstract This study aimed to analyze the impact of cardiovascular diseases (CVDs) on life expectancy (LE) in the Brazilian population; and to identify how the hypothetical reduction in mortality from 5 to 30%, as well as the hypothetical scenario with no deaths (i.e., elimination) of these diseases would affect LE. This is a simulation study using national cross-sectional data. To identify the impact of CVDs on LE, we used multiple decrement life table models, considering hypothetical CVDs reductions in mortality from 5 to 30% and their elimination. The estimated overall potential gains in LE [years (%)] from the elimination of ischemic disease, hypertensive disease, and cerebrovascular disease were 1.44y (2%) and 1.31y (1.7%), 0.51y (0.7%) and 0.75y (1%), and 1.28y (1.8%) and 1.62y (2.1%), for males and females, respectively. The largest gains in LE were observed among those who live in Brazil’s Northeast region. For the overall population, the estimated gains in LE linked to a 5% reduction in CVD mortality for males and females were 0.07y (0.1%) and 0.06y (0.08%) for ischemic disease, 0.02y (0.03%) and 0.04y (0.05%) for hypertensive disease, and 0.06y (0.08%) and 0.07y (0.09%) for cerebrovascular disease. A hypothetical decrease of 30% in mortality by CVDs would lead to gains in LE, for males and females, of 0.41y (0.6%) and 0.37y (0.5%) for ischemic disease, 0.15y (0.2%) and 0.22y (0.3%) for hypertensive disease, and 0.36y (0.5%) and 0.45y (0.6%) for cerebrovascular disease. Thus, investment towards improving CVDs, including CVD prevention efforts, would increase LE in Brazil, especially in less developed regions.
Does current body mass affect the effect of movement intervention in overweight or obese women?

Overweight or obesity is a growing problem worldwide. The cause of the increase in overweight and obesity in the current population is energy intake, which does not adjust to expenditure. Regular physical activity is a crucial tool for influencing overweight and obesity. The aim of the study was to assess the effect of physical intervention in women who differ in body mass – BM. The study was performed in 32 women with normal BM (mean age = 42.3 ± 2.4 years; BM = 65.3 ± 3.1 kg; height = 168.1 ± 3.0 cm; % body fat BF = 23.9 ± 2.2 %, BMI = 23.1 ± 1.6 kg · m−2, VO2peak = 32,2 ± 3,1 ml · kg−1 · min−1), 29 overweight (42.0 ± 2.9; 77.9 ± 3.1; 167.1 ± 4.0; 28.9 ± 2.2, 27.9 ± 2.0, 27.2 ± 2.9) and 28 obese (43.0 ± 3.0; 91.4 ± 4.6; 167.3 ± 3.2; 37.1 ± 3.4, 32.6 ± 2.1, 21.1 ± 3.2). Weekly energy intervention content ranged from 1391 ± 210 kcal · kg−1 and in relative terms per kg body weight 21.3 ± 3.2 kcal · kg−1 in women with normal BM to 2030 ± 330 kcal 23.5 ± 3.8 kcal · kg−1 in obese . The decrease in % BF ranged from 15.6 ± 2.8 % in obese to 16.4 ± 3.4 % in normal baseline BM, VO2peak increased from 7.6 ± 1.9 % in normal BM to 8.1 ± 1.5 % in overweight. The absolute changes in adiposity and aerobic fitness due to forced intervention were significant and statistically significant. Conversely, the differences in percentages before the intervention values are not significant. We can conclude that an exercise program with similar energy content, form and intensity causes similar changes in adiposity and functional performance in women, differing in BM.
Research on the Differential Mechanisms of Knowledge Cross-Border Searching on Firms’ Dual Innovation in the Digital Context: Based on Simulation of System Dynamics Model

Acquiring and combining heterogeneous knowledge resources across organizational boundaries are an important path for the success of enterprises’ innovation. From the perspective of the relation attributes between knowledge elements, this paper divides knowledge cross-border searching into two types: domain knowledge searching and architectural knowledge coupling searching. Then, we construct a system dynamics model and use Vensim PLE software to carry out simulation analysis to explore the differential mechanisms of knowledge cross-border searching influence firms’ dual innovation in the context of digital transformation. The analysis results show that domain knowledge searching positively affects firms’ iterative innovation, while there is an inverted U-shaped relationship between architectural knowledge searching and firms’ disruptive innovation, indicating that different types of knowledge cross-border searching have differential effects on firms’ dual innovation. The simulation results also address that digital resources can promote enterprises' dual innovation in the process of knowledge cross-border searching. The research results reveal that the internal laws of knowledge cross-border searching affect enterprises' dual innovation in the context of digital transformation and provide a theoretical reference for enterprises to effectively use digital technology to adopt knowledge searching activities.
Overexpression ofMAL2Correlateswith Immune Infiltration and Poor Prognosis in Breast Cancer

Background. Myelin and lymphocyte, Tcell differentiation protein 2 (MAL2) is highly expressed in various cancers and associated with the development and prognosis of cancer. However, the relationship between MAL2 and breast cancer requires further investigation. ,is study aimed to explore the prognostic significance of MAL2 in breast cancer.Methods. MAL2 expression was initially assessed using the Oncomine database and,e Cancer Genome Atlas (TCGA) database and verified by quantitative realtime polymerase chain reaction (RT-qPCR). ,e chi-square test or Fisher’s exact test was used to explore the association between clinical characteristics and MAL2 expression. ,e prognostic value of MAL2 in breast cancer was assessed by the Kaplan–Meier method and Cox regression analysis. Gene set enrichment analysis (GSEA) was performed to identify the biological pathways correlated with MAL2 expression in breast cancer. Besides, a single-sample GSEA (ssGSEA) was used to assess the relationship between the level of immune infiltration and MAL2 in breast cancer. Results. Both bioinformatics and RT-qPCR results showed that MAL2 was expressed at high levels in breast cancer tissues compared with the adjacent tissues. ,e chi-square test or Fisher’s exact test indicated that MAL2 expression was related to stage,M classification, and vital status. Kaplan–Meier curves implicated that high MAL2 expression was significantly associated with the poor prognosis. Cox regression models showed that high MAL2 expression could be an independent risk factor for breast cancer. GSEA showed that 14 signaling pathways were enriched in the high-MAL2-expression group. Besides, the MAL2 expression level negatively correlated with infiltrating levels of eosinophils and plasmacytoid dendritic cells in breast cancer. Conclusion. Overexpression of MAL2 correlates with poor prognosis and lower immune infiltrating levels of eosinophils and plasmacytoid dendritic cells in breast cancer and may become a biomarker for breast cancer prognosis.
GCMS Profile of Bioactive Compounds with Therapeutic Potential in Beta vulgaris (L.) Ethanolic Leaf Extracts

Plants, animals, and microorganisms have all been shown to have health benefits for humans. According to World Health Organization, plant medicines continue to be used by 80 percent of the world’s population in developing countries. Plant-derived secondary metabolites are macromolecules that are biosynthesized in plants and have a variety of biological properties that are beneficial to humans, including antiallergic, anti-inflammatory, anti-diabetic, and antioxidant properties. Therefore, the present investigation was done to determine the bioactive compounds present in Beta vulgaris (L.) leaves powder using Perkin-Elmer Gas Chromatography-Mass Spectrometry, while the mass spectra of the compounds found in the extract matched the National Institute of Standards and Technology (NIST) library. GC-MS analysis of an ethanolic extract of Beta vulgaris (L.) revealed the presence of 25 bioactive compounds with different area percentages and structural details. The major bioactive compounds are 1,3,5,7- Tetroxane (73.1%), Decane (83.1%), Azulene (73.8%), 4-Hepten-2-one, 5-ethyl-3,3,4-trimethyl-(71.1%), 6-Amino-1,3,5-triazine-2,4 (1H, 3H)-dione(65.1%), Phthalic acid, 4-bromophenyl ethyl ester(83.7%), Neophtadiene(93.1%), Neophytadiene (88.2%)Hexadecanoic acid, methyl ester(84.8%), n-Hexadecanoic acid(84.3%), Phytol(86.0%), 9- octadecenoic acid, (E)(88.6%), 2-Hexadecen-1-ol,3,7,11,15-tetramethyl-acetate,[R-[R*,R*-(E)]]-(64.0%), 1-Tricosene(72.3%) and 17-Pentatriacontene(65.6%). Most identified compounds have bioactivities such as Antimalaria, Anti-inflammatory, Antibacterial, Antifungal, Antiviral, Antidiabetic, Antioxidant, Anticancer, Analgesic, Anti-hyperlipidemic, Hypocholesterolemic, Hepatoprotective, and Anti-androgenic, so that they can be recommended as a plant of phytopharmaceutical importance. Therefore ethanol extract of Beta vulgaris (L.) leaves proves as a potential source of bioactive compounds of pharmacological importance.