Miracle-dz/UniFAR-FTUs huggingface dataset:
THE EFFECT OF GDP, EXCHANGE RATE, AND INTEREST RATE ON PROFIT SHARING INCOME OF MUDHARABAH FINANCING AT ISLAMIC BANKS

This study aims to explain the influence of macroeconomic factors such as gross domestic product (GDP), exchange rates, and interest rates (BI Rate) on revenue sharing from mudharabah financing at Islamic Banks in Indonesia for 2016-2020. The sample selection in this study used purposive sampling with 9 selected samples from the total population of 14 Islamic Banks in Indonesia. The data used in this study are secondary data obtained from annual reports published by each Islamic Bank in the 2016-2020 period. The analytical method used in this research is panel data regression using EVIEWS 10 software and obtained the fixed effect model as the best estimation model. Based on the study's results, partially gross domestic product (GDP) and interest rates (BI Rate) have no significant effect on revenue sharing for mudharabah financing. In contrast, the exchange rate negatively and significantly impacts revenue sharing for mudharabah financing. In addition, simultaneously, the results of gross domestic product (GDP), exchange rates, and interest rates (BI Rate) significantly affect revenue sharing for mudharabah financing.
A Multidimensional Connectomics- and Radiomics-Based Advanced Machine-Learning Framework to Distinguish Radiation Necrosis from True Progression in Brain Metastases

Simple Summary Diagnosing true progression (TP) versus radiation necrosis (RN) in brain metastases treated with stereotactic radiosurgery is a significant clinical challenge that can lead to delays of care or unnecessary neurosurgical procedures. We implemented a novel machine-learning framework that uses both multiparametic radiomics (mpRad) and tumor connectomics analysis to probe the textural properties and structural networks within radiographically progressive lesions, respectively. Our predictive model was able to distinguish histopathologically proven cases of TP from RN with excellent discrimination and may ultimately serve as a useful tool to inform clinical decision making. Abstract We introduce tumor connectomics, a novel MRI-based complex graph theory framework that describes the intricate network of relationships within the tumor and surrounding tissue, and combine this with multiparametric radiomics (mpRad) in a machine-learning approach to distinguish radiation necrosis (RN) from true progression (TP). Pathologically confirmed cases of RN vs. TP in brain metastases treated with SRS were included from a single institution. The region of interest was manually segmented as the single largest diameter of the T1 post-contrast (T1C) lesion plus the corresponding area of T2 FLAIR hyperintensity. There were 40 mpRad features and 6 connectomics features extracted, as well as 5 clinical and treatment factors. We developed an Integrated Radiomics Informatics System (IRIS) based on an Isomap support vector machine (IsoSVM) model to distinguish TP from RN using leave-one-out cross-validation. Class imbalance was resolved with differential misclassification weighting during model training using the IRIS. In total, 135 lesions in 110 patients were analyzed, including 43 cases (31.9%) of pathologically proven RN and 92 cases (68.1%) of TP. The top-performing connectomics features were three centrality measures of degree, betweenness, and eigenvector centralities. Combining these with the 10 top-performing mpRad features, an optimized IsoSVM model was able to produce a sensitivity of 0.87, specificity of 0.84, AUC-ROC of 0.89 (95% CI: 0.82–0.94), and AUC-PR of 0.94 (95% CI: 0.87–0.97).
Hepatic Changes under the Effect of Red Bull Energy Drinks and its Withdrawal in Adult Male Albino Rats (Histological and Immunohistochemical Study)

Background: Red bull (RB) energy drinks became popular especially among young adults believing that they improve the level of performance and giving them more energy. Objectives: One of the organs most susceptible to the toxicity of red bull is the liver. Therefore, the goal of our study was to assess the effects of RB ingestion on the livers of adult male albino rats as well as the consequences of its withdrawal. Materials and Methods: Thirty six adult male albino rats were divided into 3 groups; control group, Red bull given group (received red bull in a dose 1.5 ml/100g b.wt daily orally for 4 weeks) and withdrawal group (received red bull as in Red bull group and left for 4 weeks without treatment). Specimens of the liver were taken from all groups and processed for the light, electron microscopic and immunohistochemical study. Morphometric measurements and statistical analyses were done. Results: Red bull given group displayed a significantly higher serum level of liver enzymes in comparison to the control group. Loss of the typical liver architecture was noticed through histopathological analysis in the same group; most hepatocytes were degenerated with pyknotic nuclei and cytoplasmic vacuolations.Lipid droplets infiltration was noticed between hepatocytes. Leucocytic infiltration surrounding central vein and vessels of portal area with eosinophilic exudate within and between portal area vessels were seen. The immunohistochemical results demonstrated a significant increase in alpha smooth muscle actin (α-SMA) . The ultrastructural assessment confirmed these changes. However, cessation of RB intake showed improvement in the liver histopathological and biochemical changes depicted previously. Conclusion: Hepatocytes affected by ingestion of caffeinated energy drinks. But as seen by the withdrawal group's blood and histopathology study results, these harmful effects were reversible.
Association of Metabolic Syndrome with the Risk of Head and Neck Cancer: A 10-Year Follow-Up Study of 10 Million Initially Healthy Individuals

Simple Summary The global incidence of metabolic syndrome is on the rise, and its association with various types of cancer has been established. However, research into an association between metabolic syndrome and the incidence of head and neck cancer has been relatively limited. This population-based study aimed to report on the association of metabolic syndrome with head and neck cancer and individual subtypes of cancers. The study found that participants with metabolic syndrome exhibited a higher risk of developing head and neck cancer, particularly oral cavity and laryngeal cancers. The elevated levels of fasting glucose and blood pressure present in individuals with metabolic syndrome were independently associated with an increased risk of head and neck cancer. The results of this study could assist with etiological investigations and prevention strategies. Abstract The aim of this national population-based retrospective study was to analyze the relationship between MetS and the incidence of HNC. In this Korean population-based cohort study, 9,598,085 subjects above the age of 20 were monitored from 1 January 2009 to 31 December 2018. In the study population, a total of 10,732 individuals were newly diagnosed with HNC during the 10-year follow-up. The hazard ratio (HR), after adjusting for age, gender, smoking status, alcohol intake, and exercise, indicated that participants with MetS were at a 1.06-fold (95% CI: 1.01–1.10) higher risk of having HNC than those without MetS. Participants with MetS showed an increased risk of developing oral cavity cancer (HR, 1.12; 95% CI, 1.03–1.23) and laryngeal cancer (HR, 1.18; 95% CI, 1.09–1.27). Among the components of MetS, elevated fasting glucose (HR = 1.04, 95% CI: 1.00–1.08) and elevated blood pressure (HR = 1.08, 95% CI: 1.04–1.13) were significantly associated with an increased HR for HNC in an adjusted multivariable model. The association between HNC and MetS remained significant even among individuals who had never smoked or were ex-smokers (HR: 1.09; 95% CI: 1.04–1.15), as well as those who did not drink or were mild drinkers (HR: 1.07; 95% CI: 1.02–1.12). The findings of this cohort study suggest MetS was associated with an increased risk for some types of HNCs. The results of this study could assist with etiological investigations and prevention strategies.
Geographic Variability, Seasonality, and Increase in ASPCA Animal Poison Control Center Harmful Blue-Green Algae Calls—United States and Canada, 2010–2022

Harmful cyanobacteria (blue-green algae) exposures can cause illness or death in humans and animals. We characterized American Society for the Prevention of Cruelty to Animals (ASPCA) Animal Poison Control Center (APCC) harmful blue-green algae (HBGA) call data, compared it to a measure of harmful algal bloom public awareness, and considered its suitability as a public health information source. ASPCA APCC dog and cat “HBGA exposure” calls made 1 January 2010–31 December 2022 were included. We calculated annual HBGA call percentages and described calls (species, month, origin, exposure route). We characterized public awareness by quantifying Nexis Uni® (LexisNexis Academic; New York, NY, USA)-indexed news publications (2010–2022) pertaining to “harmful algal bloom(s)”. Call percentage increased annually, from 0.005% (2010) to 0.070% (2022). Of 999 HBGA calls, 99.4% (n = 993) were dog exposures. Over 65% (n = 655) of calls were made July–September, largely from the New England (n = 154 (15.4%)) and Pacific (n = 129 (12.9.%)) geographic divisions. Oral and dermal exposures predominated (n = 956 (95.7%)). Harmful algal bloom news publications increased overall, peaking in 2019 (n = 1834). Higher call volumes in summer and in the New England and Pacific geographic divisions drove HBGA call increases; public awareness might have contributed. Dogs and humans have similar exposure routes. ASPCA APCC HBGA call data could serve as a public health information source.
Clinical characteristics and acute complication of COVID-19 patients with diabetes: a multicenter, retrospective study in Southern China

Aims This study aims to describe the clinical characteristics, laboratory data and complications of hospitalized COVID-19 patients with type 2 diabetes mellitus (T2DM) since epidemic prevention and control optimization was adjusted in December 2022 in China. Methods This retrospective multicenter study included 298 patients with confirmed type 2 diabetes mellitus with or without COVID-19. We collected data from the first wave of the pandemic in The Fifth Affiliated Hospital of Guangzhou Medical University, Loudi Central Hospital and The First People’s Hospital of Xiangtan from December 1, 2022 to February 1, 2023. We extracted baseline data, clinical symptoms, acute complications, laboratory findings, treatment and outcome data of each patient from electronic medical records. Results For among 298 hospitalized patients with type 2 diabetes, 136 (45.6%) were COVID-19 uninfected, and 162 (54.4%) were COVID-19 infected. We found that the incidence of cough, fatigue, fever, muscle soreness, sore throat, shortness of breath, hyposmia, hypogeusia and polyphagia (all p<0.01) were significantly higher in the exposure group. They showed higher levels of ketone (p=0.04), creatinine (p<0.01), blood potassium (p=0.01) and more diabetic ketoacidosis (p<0.01). Patients with COVID-19 less use of metformin (p<0.01), thiazolidinediones (p<0.01) and SGLT2 (p<0.01) compared with patients without COVID-19. Conclusion COVID-19 patients with diabetes showed more severe respiratory and constitutional symptoms and an increased proportion of hyposmia and hypogeusia. Moreover, COVID-19 patients with diabetes have a higher incidence of acute complications, are more prone to worsening renal function, and are more cautious about the use of antidiabetic drugs.
Global Prescribed-Time Second-Order Sliding Mode Controller Design Subject to Asymmetric Output Constraint

In this work, a prescribed-time second-order sliding mode (SOSM) controller is constructed to address a class of nonlinear systems in the presence of asymmetric output constraints. To handle the asymmetric constraints, a frequently-used asymmetric barrier Lyapunov function is employed. Meanwhile, a time-varying scaling function is introduced to ensure the prescribed-time convergence of the closed-loop sliding mode system. On this basis, a prescribed-time SOSM controller is constructed by inserting the asymmetric BLF and time-varying scaling function into a modified power integrator technique. The rigorous theoretical analysis indicates that under the proposed prescribed-time SOSM control scheme, the overall system is prescribed-time stable without violating the asymmetric constraints. The distinguishing feature is that the convergence time of the overall system can be specified beforehand and does not depend on any system initial conditions. Finally, an academic simulation example is provided to demonstrate the effectiveness of the presented prescribed-time control scheme.
An Improved Protocol for Targeted Differentiation of Primed Human Induced Pluripotent Stem Cells into HLA-G-Expressing Trophoblasts to Enable the Modeling of Placenta-Related Disorders

Abnormalities at any stage of trophoblast development may result in pregnancy-related complications. Many of these adverse outcomes are discovered later in pregnancy, but the underlying pathomechanisms are constituted during the first trimester. Acquiring developmentally relevant material to elucidate the disease mechanisms is difficult. Human pluripotent stem cell (hPSC) technology can provide a renewable source of relevant cells. BMP4, A83-01, and PD173074 (BAP) treatment drives trophoblast commitment of hPSCs toward syncytiotrophoblast (STB), but lacks extravillous trophoblast (EVT) cells. EVTs mediate key functions during placentation, remodeling of uterine spiral arteries, and maintenance of immunological tolerance. We optimized the protocol for a more efficient generation of HLA-Gpos EVT-like trophoblasts from primed hiPSCs. Increasing the concentrations of A83-01 and PD173074, while decreasing bulk cell density resulted in an increase in HLA-G of up to 71%. Gene expression profiling supports the advancements of our treatment regarding the generation of trophoblast cells. The reported differentiation protocol will allow for an on-demand access to human trophoblast cells enriched for HLA-Gpos EVT-like cells, allowing for the elucidation of placenta-related disorders and investigating the immunological tolerance toward the fetus, overcoming the difficulties in obtaining primary EVTs without the need for a complex differentiation pathway via naïve pluripotent or trophoblast stem cells.
The Application of a Microsimulation Model System to the Analysis of a Light-Rail Corridor: Insights from a TRANSIMS Deployment

The increasingly complex transportation challenges faced by urban areas around the country call for the use of new tools capable of microsimulating the movements of individual travelers and vehicles in multimodal networks. While there have been a number of microsimulation applications for highway networks, the number of such applications for transit or intermodal networks is relatively small. Given the emphasis that is being placed on multimodal transportation system development, and the desire to institute fixed guideway systems that operate in mixed traffic, there is a need to develop simulation processes capable of reflecting the performance of mixed multimodal transportation networks under a variety of planning and operations scenarios. This paper describes results from the application of TRANSIMS to a light rail corridor in the Greater Phoenix metropolitan area. Results of the simulation exercise are intuitive and provide insights on how microsimulation model systems can prove to be effective tools in analyzing alternative multimodal transport network strategies.
Student Experiences of a Home-Based Acute Care Curriculum

Background/Purpose: The COVID-19 pandemic disrupted physical therapy education beginning in March 2020. Acute care physical therapy is complex and has substantive psychomotor skills and safety demands. Students can experience significant challenges during acute care clinical education experiences (CEE); therefore, assessment of the effect of curricular adjustments on preparation for clinical experiences is paramount. Students can experience significant challenges during acute care CEE. Educational programs continue to assess the effect of pandemic dictated altered modes of delivery of laboratory-based courses on student outcomes. The purpose of this qualitative case report is to explore students' experiences of an online delivery mode of an acute care course and their perception of its ability to prepare the student for an acute care CEE. Case Description: Interviews were completed with physical therapist students after their terminal acute care CEE. Qualitative analysis was approached from an interpretive epistemological perspective and a phenomenological approach was used to explore students' experience in participating in an online delivery mode to gain the required skills to be effective during acute care physical therapist practice. Data analysis was completed using a thematic analysis approach. Outcomes: Seven students participated in qualitative interviews after their acute care educational experience. Qualitative results revealed 3 main themes: (1) Course Design, (2) Fidelity, and (3) Learner Characteristics as contributors to feelings of preparedness when transitioning from the classroom to an acute care CEE. Discussion and Conclusion: Despite COVID-19 disruptions to traditional in-person education delivery of an acute care laboratory-based course, a unique at-home delivery of acute care curriculum led to students reporting sufficient skill development to participate in an acute care CEE. Aspects of the unique course that students reported facilitated their learning were skill repetition and fidelity to clinical practice embedded in laboratory activities. Results can be used to intentionally design coursework to aide in building student confidence and preparation for acute care CEE.
Colour preference on Picture Therapy Cards in Children With ASD

Children with Autism Spectrum Disorder (ASD) have difficulty understanding and concentrating. Several studies have explained that using visual therapy media, one of which is therapy cards, can help teachers and therapists maintain children’s concentration and motivation during learning. Previous research also states that ASD children have patterns of visual interest/preference for certain visual displays, in theory also explaining that visual displays affect children’s understanding and attention. One of the visual aspects on the therapy card is the colour used in the illustration on the card. This study aims to find out how colour combinations can affect children’s attention. We use a quantitative methodology with an experimental method by Chazin & Ledford. The results of the study found that autistic children prefer warm colour combinations, compared to illustrations with cool tone and monochrome combinations. Children also have better attention and motivation with cards with warm colour combinations in the illustrations. This research is expected to be useful input for teachers and therapists and can be used as a reference in making and developing visual media for children with autism. Keywords: autism, color, pictorial therapy cards
Optimization of Single Myofiber Isolation Protocol from the Flexor Digitorum Brevis Muscle to Study Satellite Cells

Background: Satellite cells, which are located between the basal lamina and sarcolemma of the myofiber, have a tremendous ability to repair damaged skeletal muscle. Although they remain quiescent in their niche, they activate rapidly following injury; understanding the mechanisms underlying this activation process has the potential to open new avenues for muscle regenerative therapies. The flexor digitorum brevis muscle “FDB” is one of the best candidates to study satellite cell physiology in the unperturbed myofiber, as it is composed of relatively short myofibers attached to the muscle tendon in an oblique manner, enabling a high rate of intact fiber isolation compared to muscles with longer fibers. Aim: To optimize the preparation process to avoid maldigestion that renders broken and contracted myofibers not suitable for studying quiescent satellite cells and the subsequent activation processes. Material and Methods: FDB muscles from both sides from C57BL/6 male mice were used. The muscles were digested with collagenase digestion solution then cultured in myofiber culture medium in low CO 2 incubators at 37 0 C. Results: This study revealed that a short incubation period in the digestion solution of two hours is optimum for harvesting the largest number of viable myofiber. Dishes coated with laminin were used to allow the attachment of the single myofibers and further facilitate the immunofluorescence staining process. Conclusion: The used method provides a better tool to isolate the single myofibers from the FDB muscle and hence better analysis of satellite cell activation.
Dynamics in Car Ownership and Life-Cycle Events: A Longitudinal Analysis

This paper describes an analysis of the relationship between car ownership decisions and decisions regarding residential, work and demographic events. Following recent literature on the importance of critical events for mobility decisions, it focuses on the relationship between specific events (e.g. childbirth and buying an extra car), rather than trying to explain the status of car ownership from a set of stationary explanatory variables. In particular, it is hypothesized that changes to the number of cars take place in response to stressors, resulting from changed household needs or aspirations. The study includes a broad range of events that may influence car ownership decisions. Apart from changes in working status, residential location and number of drivers, it analyzes demographic events such as household formation and childbirth. Also, it scrutinizes the temporal sequence in which chains of related events are most likely to occur. To this end, data from a retrospective survey that records respondents’ car ownership status, as well as residential and household situation over the past 20 years are used. Simple correlation analysis has been used to disentangle typical relationships at the current stage of the project. The preliminary results suggest that strong and simultaneous relationships exist between car ownership changes and household formation and dissolution processes. Childbirth and residential relocation also invoke car ownership changes, which are however made in anticipation of the event. Whereas childbirth is associated with an increasing number of cars, the effect of residential relocation may go both ways. Job change increases the probability of car ownership change in the year following the job change.
PENGARUH DUKUNGAN SOSIAL REKAN KERJA TERHADAP KINERJA PEGAWAI KOTA TOMOHON

Penelitian ini bertujuan untuk mencari pengaruh dukungan sosial rekan kerja terhadap kinerja pegawai yang ada di kantor Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Kota Tomohon. Pendekatan didalam penelitian ini menggunakan penelitian kuantitatif dengan metode analisis regresi sederhana menggunakan bantuan program SPSS 21. Subjek didalam penelitian ini yakni seluruh pegawai di Dinas penanaman modal dan pelayanan terpadu satu pintu Kota Tomohon. Pengambilan sampel yang dilakukan adalah dengan teknik sampel jenuh. Sehingga sampel yang diambil berjumlah 40 responden. Hasil didalam penelitian ini menunjukkan bahwa terdapat pengaruh positif variabel dukungan sosial rekan kerja terhadap kinerja pegawai Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Kota Tomohon. Dengan nilai berdasarkan pengujian hipotesis diperoleh persamaan regresi sederhana Y= 26.636 + 0.826 X. Hasil dari nilai signifikansi (sig) 0,000 < 0,05 dan R square 0,448 atau 44,8% artinya jika semakin tinggi dukungan sosial rekan kerja maka semakin tinggi pula kinerja pegawai di Dinas Penanaman Modal dan Pelayanan Terpadu satu pintu Kota Tomohon. Sedangkan sisanya 55.2% dipengaruhi oleh variabel lain.