Miracle-dz/UniFAR-FTUs huggingface dataset:
Ability Locus of Control in Mediating Islamic Attitude and Knowledge on Financial Behavior

The primary objective of this study was conducted (1) to test the influence of financial knowledge and locus of control on financial behavior, (2) to find the impact of Islamic financial attitudes toward financial conduct and Locus of Control, (3) to investigate influence the role of locus of control as a mediator between financial knowledge and Islamic finance attitudes in relation to financial behavior. Although the model concept used in this study has been explored previously, the specific indicators for the Islamic financial attitude variable have not been studied before.This research follows an explanatory approach, which involves testing hypotheses to understand the relationships between variables. The study included a sample of 130 Muslim farmers from Tuban Regency, selected through cluster sampling. Data analysis was conducted using SmartPLS3 software, employing Path Analysis as the analytical technique.Based on the data analysis and inquiry results, the study found that Islamic financial attitudes had a positive impact on individuals' financial locus of control and financial behavior. However, financial knowledge did not significantly affect financial locus of control and behavior.Furthermore, the locus of control was identified as a mediator between Islamic financial attitudes and individuals' financial behavior, indicating that it played a role in influencing financial behavior based on their attitudes towards Islamic finance. However, the locus of control was not capable of mediating the impact of financial knowledge on financial behavior.
Fast and Selective Adsorption of Au (III) from the Waste Printed Circuit Boards Using a Low-Cost Adsorbent: Optimization by Central Composite Design Based on Response Surface Methodology

A low-cost new green adsorbent (GA) was synthesized by tannin-rich pomegranate peel powder and formaldehyde for the fast and selective recovery of Au (III). It was characterized by Fourier transform infrared spectroscopy (FT-IR), Brunauer–Emmett–Teller (BET), elemental analysis (CHN), field emission scanning electron microscopy (FE-SEM), and energy-dispersive X-ray spectroscopy (EDS) (FE-SEM-EDS-mapping). The optimal values of influential factors were defined using a central composite design based on the response surface methodology (CCD-RSM). Adsorption properties were investigated by the kinetic, isotherm, thermodynamic, and interference of coexisting metal ions at optimum conditions. The experimental adsorption percentage with three repetitions under the optimized conditions such as pH = 2, adsorbent mass = 23 mg, Au (III) concentration = 32 m g L − 1 , and contact time = 30 min was 97% and the highest adsorption capacity of the GA was 315.450 m g g − 1 . The adsorption isotherm and kinetic were clarified by the Freundlich (R2 = 0.952) and pseudo-second-order (R2 = 0.998) models. The thermodynamic study (∆S° > 0, ∆H° > 0, and ∆G° < 0) revealed that Au (III) adsorption via GA was a facile, endothermic, and spontaneous process. The adsorption mechanism could be an electrostatic interaction and reductive adsorption. A small amount of GA (23 mg) adsorbed gold selectively and rapidly (30 min) from coexisting metals present in the waste printed circuit board (PCB) such as Ag, Al, Si, Zn, Pb, Ba, Ni, Ca, Mo, Co, Cr, Mn, Cu, Mg, Fe, and W. These results confirm the use of low-cost and high-efficiency GA to fast and selectively recover gold from waste PCBs.
Financial toxicity in people with chronic kidney disease undergoing hemodialysis treatment

ABSTRACT Objective: to assess the financial toxicity of people with chronic kidney disease undergoing hemodialysis treatment. Method: a descriptive analytical cross-sectional study, carried out with 214 people, between February and May 2022. For data collection, a sociodemographic and clinical instrument and the COmprehensive Score for financial Toxicity were used. For analysis, the Odds Ratio, ANOVA and Cronbach’s alpha tests were used. Results: the mean financial toxicity score was 20.30. Women with a monthly family income of at most two minimum wages are more likely to have some degree of financial toxicity (Odds Ratio: 0.85; 0.76). Conclusion: financial toxicity was identified to different degrees and varied according to sociodemographic and clinical characteristics. Measuring financial toxicity can help nurses plan care and develop strategies to avoid interrupting treatment.
PENGARUH SUBSTITUSI TULANG DENGAN HIDROKSIAPATIT (HAp) TERHADAP PROSES REMODELING TULANG

Latar belakang: Kerusakan jaringan oleh patah jaringan, trauma, atau penyakit memerlukan restorasi untuk memperbaiki fungsinya seperti sedia kala. Beberapa penelitian telah dilakukan untuk menemukan bahan-bahan substitusi jaringan, termasuk mengembangkan bahan hidroxyapatite (HAp). HAp merupakan bahan bioaktif yang memiliki kemampuan osteokonduktif, bioaktivitas, dan biokompatibilitas dalam proses pembentukan tulang. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh substitusi tulang dengan hidroksiapatit (HAp) pada gambaran histologis tulang pada tibia tikus (Rattus Sprague Dawley) . Penelitian dilakukan dengan 15 tikus jantan Sprague Dawley , usia 3 bulan, dengan membuat defek di tibia kanan dan tibia kiri. Setiap defek berukuran 3 mm x 1,5 mm x 1 mm. Sebagai perlakuan diberikan implantasi hidroksiapatit pada defek tibia kanan dan tibia kiri sebagai situs kontrol tanpa implantasi. Masing-masing subjek didekapitasi setelah 1, 2, 3, 4, dan 8 minggu. Daerah defek diambil dan dibuat gambaran histologi, kemudian dilakukan pengamatan dan penghitungan jumlah sel osteoblas, dan osteoklas menggunakan mikroskop kontras fase. Data dianalisis oleh SPS 2000 dengan metode Two Way Anava . Hasil penelitian menunjukkan bahwa substitusi tulang dengan hidroksiapatit tidak signifikan pada aktivitas osteoblas atau osteoklas ditunjukkan dengan p >0,05, tapi analisis antar waktu menunjukkan signifikasi pada osteoklas ( p <0,05). Investigasi pada gambaran histologi menunjukkan peningkatan pada aktivitas pembentukan tulang baru pada defek tulang. Kata kunci: substitusi tulang; hydroxyapatite ; sel-sel tulang; gambar histologi
Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution—Part B—Particle Number Concentrations

Low-cost Particulate Matter (PM) sensors offer an excellent opportunity to improve our knowledge about this type of pollution. Their size and cost, which support multi-node network deployment, along with their temporal resolution, enable them to report fine spatio-temporal resolution for a given area. These sensors have known issues across performance metrics. Generally, the literature focuses on the PM mass concentration reported by these sensors, but some models of sensors also report Particle Number Concentrations (PNCs) segregated into different PM size ranges. In this study, eight units each of Alphasense OPC-R1, Plantower PMS5003 and Sensirion SPS30 have been exposed, under controlled conditions, to short-lived peaks of PM generated using two different combustion sources of PM, exposing the sensors’ to different particle size distributions to quantify and better understand the low-cost sensors performance across a range of relevant environmental ranges. The PNCs reported by the sensors were analysed to characterise sensor-reported particle size distribution, to determine whether sensor-reported PNCs can follow the transient variations of PM observed by the reference instruments and to determine the relative impact of different variables on the performances of the sensors. This study shows that the Alphasense OPC-R1 reported at least five size ranges independently from each other, that the Sensirion SPS30 reported two size ranges independently from each other and that all the size ranges reported by the Plantower PMS5003 were not independent of each other. It demonstrates that all sensors tested here could track the fine temporal variation of PNCs, that the Alphasense OPC-R1 could closely follow the variations of size distribution between the two sources of PM, and it shows that particle size distribution and composition are more impactful on sensor measurements than relative humidity.
Status of Coral Reefs of the Pacific and Outlook: 2011

This report is based on the information collected by hard working scientists, managers, conservation organisations and non-governmental organisations working tirelessly across the Pacific. It shows that the coral reefs of the Pacific are in better condition than those in other reef regions in the world, and remain the less stressed compared to reefs elsewhere. This is encouraging considering that recent global reports paint a gloomy picture of the status (and likely future prospects) of large areas of the world’s coral reefs. However, the longer term outlook for Pacific reefs is not encouraging with increasing human-induced threats and global climate change predicted to result in considerable damage in coming decades. This constitutes our conclusion, while many of the reefs in the Pacific appear healthy and resilient now, the outlook is poor. Most Pacific reefs are in reasonable to good condition with either healthy or recovering coral communities and reasonably intact coral reef fish and invertebrate populations. There are large numbers of coral reefs spread over vast areas of the Pacific that are remote from human pressures; these remain among the best preserved reefs in the world. Many of these reefs grow around low lying and uninhabited atolls with few human pressures and no runoff from the land. Recently, there have been active processes to declare many of these reefs as protected areas with considerable success
Diversified role of fuzzified particle concentration on Casson gold-blood nanofluid flow through an elongating sheet for different shape nanoparticles

The theme of this work is to explore the impact of shape factor on magnetized Casson gold-blood nanofluid flow through elongated sheet using fuzzified volume fraction. The impact of Ohmic heating, convective heating and suction/injection on heat transfer rate, is incorporated. The existing ordinary differential equations (ODEs) are transformed into fuzzy differential equations by applying the α-cut technique of fuzzy numbers. The α-cut value ranges from 0 to 1, which determines the level of fuzziness in the TFNs. The results indicate that rise in the Casson parameter leads to a reduction in the boundary layer thickness and an augmentation of shear stress near the sheet. Additionally, among the nanoparticle shapes studied, cylindrical nanoparticles demonstrate the extreme thermal conductivity, followed by platelet and blade-shaped nanoparticles, all contributing to an improvement in the heat transfer rate. The present code is validated numerically with previous works and found in good agreement.
Excessive whole-body exposure to 28 GHz quasi-millimeter wave induces thermoregulation accompanied by a change in skin blood flow proportion in rats

Introduction Limited information is available on the biological effects of whole-body exposure to quasi-millimeter waves (qMMW). The aim of the present study was to determine the intensity of exposure to increase body temperature and investigate whether thermoregulation, including changes in skin blood flow, is induced in rats under whole-body exposure to qMMW. Methods The backs of conscious rats were extensively exposed to 28 GHz qMMW at absorbed power densities of 0, 122, and 237 W/m2 for 40 minutes. Temperature changes in three regions (dorsal and tail skin, and rectum) and blood flow in the dorsal and tail skin were measured simultaneously using fiber-optic probes. Results Intensity-dependent temperature increases were observed in the dorsal skin and the rectum. In addition, skin blood flow was altered in the tail but not in the dorsum, accompanied by an increase in rectal temperature and resulting in an increase in tail skin temperature. Discussion These findings suggest that whole-body exposure to qMMW drives thermoregulation to transport and dissipate heat generated on the exposed body surface. Despite the large differences in size and physiology between humans and rats, our findings may be helpful for discussing the operational health-effect thresholds in the standardization of international exposure guidelines.
Effectiveness of Lactational Amenorrhea Method in Ethiopia: A Multi-Center Prospective Cohort Study

Background Although the lactational amenorrhea method (LAM) is one of the most commonly used contraception methods during the first six months of a woman’s postpartum period, there has been little research on its effectiveness in general and particularly in Ethiopia. The purpose of this study was to evaluate the effectiveness of LAM and the experiences of Ethiopian women who used it. Methods This was a multi-center prospective cohort study of postpartum women from five Ethiopian regions and one city administration. All pregnant women who gave birth in these randomly selected hospitals and five health centers directly referring to the hospitals were invited to the study if they selected LAM and were followed monthly at home. Each month, trained researchers visited the woman at her home and collected information about breast feeding, the return of menses, the resumption of sex, the use of another contraceptive, and a pregnancy test using urine human chorionic gonadotropin (hCG). Women who reported starting new contraceptive methods, resumption of menses, starting complementary feeding, neonatal death, getting pregnant, or refusing were excluded from the cohort. The data were collected using ODK Collect and exported to Stata 14 for analysis. Results Among the 2162 women who selected LAM as a contraceptive, 2022 were enrolled in the cohort study, and 901 completed the follow-up. At the end of the sixth month, eight women got pregnant, corresponding to an effectiveness of 99.1%. More than half of the cohort were excluded from the follow-up for reasons of transitioning to other types of contraception, resumption of menses, or refusal to follow-up. Conclusion The effectiveness of LAM is high and should be recommended for postpartum women, with proper counseling provided. A study should be conducted to examine the effectiveness of breast feeding as a contraceptive beyond the Bellagio consensus.
Snow Removal for LiDAR Point Clouds With Spatio-Temporal Conditional Random Fields

LiDAR sensors have been extensively used in numerous applications, including autonomous driving, owing to their ability to generate high-quality 3D point clouds. However, the sensor can be greatly affected in adverse weather conditions, resulting in noisy 3D points that impair LiDAR-based perception performance. This letter proposes a novel de-snowing formulation with Conditional Random Fields (CRF). The proposed approach first constructs the CRF based on k-nearest neighbors with the snow confidence derived from the physical priors of snow, such as intensity and distribution. Then, Iterated Conditional Modes (ICM) is applied for the confidence propagation from points with high certainty to nearby uncertain ones, thereby identifying the latter. Moreover, the method can be extended to fully utilize the temporal information of sequential scans for clearer snow removal. Extensive experiments on the real-scanned WADS dataset validate that our de-snowing approach significantly outperforms baselines and even the learning-based State-of-The-Art (SoTA) one. Furthermore, we demonstrate that our method has the potential to benefit the downstream 3D object detection task in snowy weather.
Identification and validation of novel biomarkers associated with immune infiltration for the diagnosis of osteosarcoma based on machine learning

Objectives: Osteosarcoma is the most common primary malignant tumor in children and adolescents, and the 5-year survival of osteosarcoma patients gained no substantial improvement over the past decades. Effective biomarkers in diagnosing osteosarcoma are warranted to be developed. This study aims to explore novel biomarkers correlated with immune cell infiltration in the development and diagnosis of osteosarcoma. Methods: Three datasets (GSE19276, GSE36001, GSE126209) comprising osteosarcoma samples were extracted from Gene Expression Omnibus (GEO) database and merged to obtain the gene expression. Then, differentially expressed genes (DEGs) were identified by limma and potential biological functions and downstream pathways enrichment analysis of DEGs was performed. The machine learning algorithms LASSO regression model and SVM-RFE (support vector machine-recursive feature elimination) analysis were employed to identify candidate hub genes for diagnosing patients with osteosarcoma. Receiver operating characteristic (ROC) curves were developed to evaluate the discriminatory abilities of these candidates in both training and test sets. Furthermore, the characteristics of immune cell infiltration in osteosarcoma, and the correlations between these potential genes and immune cell abundance were illustrated using CIBERSORT. qRT-PCR and western blots were conducted to validate the expression of diagnostic candidates. Results: GEO datasets were divided into the training (merged GSE19276, GSE36001) and test (GSE126209) groups. A total of 71 DEGs were screened out in the training set, including 10 upregulated genes and 61 downregulated genes. These DEGs were primarily enriched in immune-related biological functions and signaling pathways. After machine learning by SVM-RFE and LASSO regression model, four biomarkers were chosen for the diagnostic nomogram for osteosarcoma, including ASNS, CD70, SRGN, and TRIB3. These diagnostic biomarkers all possessed high diagnostic values (AUC ranging from 0.900 to 0.955). Furthermore, these genes were significantly correlated with the infiltration of several immune cells, such as monocytes, macrophages M0, and neutrophils. Conclusion: Four immune-related candidate hub genes (ASNS, CD70, SRGN, TRIB3) with high diagnostic value were confirmed for osteosarcoma patients. These diagnostic genes were significantly connected with the immune cell abundance, suggesting their critical roles in the osteosarcoma tumor immune microenvironment. Our study provides highlights on novel diagnostic candidate genes with high accuracy for diagnosing osteosarcoma patients.
Starch Properties of Roasting Rice from Naturally High-Resistant Starch Rice Varieties

This study investigates the effects of moisture content control on the characteristics, properties, and in vitro starch digestion of roasted rice powder made from natural high-resistant starch (RS) rice varieties. The results demonstrate that adjusting the moisture content before roasting significantly affects the RS content of the roasted rice powder. Among various moisture levels tested, the addition of 15% water (rice-to-water ratio of 85:15) before roasting resulted in the highest RS content, reaching 22.61%. Several key parameters of the rice samples before and after optimal moisture control were analyzed, including thermal stability, chain length distribution, volatile flavor composition, and scanning electron microscopy. Additionally, in vitro digestion properties were measured. The findings revealed that the volatile flavor compounds in the high-RS roasted rice significantly increased compared to non-roasted rice. Moreover, the thermal stability of the rice samples improved, and the chain length distribution exhibited significant changes. The water absorption and expansion properties were significantly lower in the high-RS roasted rice. Furthermore, the in vitro starch digestion of the roasted flour made from high-RS rice showed a significantly lower digestion rate compared to common rice, indicating a lower starch hydrolysis index in high-RS rice with the sbe-rs genotype. Overall, the roasting process of natural high-RS rice modifies its characteristics, increases the RS content, enhances the flavor, and results in a lower starch digestion rate compared to common rice. This study provides valuable data for the food industry to promote the application of high-RS rice varieties with mutations in the SBEIIb gene, such as Youtangdao2 (YTD2).
What drives the dependence between the Chinese and global stock markets?

By applying time-varying copulas and panel regression analysis, this study investigates the dependence between the Chinese and eleven international stock markets, as well as its determinants during the period 2002-2018. Our results indicate that the dependence magnitude between the Chinese stock market and major international markets varies with region. Furthermore, the dependence is negatively driven by both economic policy uncertainty differentials and interest rate differentials while positively affected by the global financial crisis and trade interdependence. Our findings are of great importance to international investors and policymakers.
Perspectives of Teachers Towards Students with Diverse Disability: A Case of Special School in Kailali District

Working with differently able children in the classroom is challenging in under-resourced contexts for Nepal teachers. This study explores teachers’ perceptions toward managing the diversity of the students in terms of disability, teaching-learning activities, assessment practices, and interpersonal skills in a special school. This qualitative study adopts a case study design. In-depth Interviews, focus group discussions (FGD), and participant observation were the major methods for data collection. Six teachers (three ordinary and three with disability) for FGD and two key informants (head teacher and chairperson) were selected purposively for in-depth Interviews from a special school located at Attariya in Kailali district. The study shows that teachers have positive perceptions toward disabilities, especially teachers with disability. Teachers have invested efforts in managing diversity in instruction and in assessment; however, it is challenging due to the traditional approach of teaching and evaluation, lack of training and resources, and the gap between policies and practices. The study further indicates that teachers’ positive perceptions and extracurricular activities are crucial for developing students’ interpersonal skills.
Effects of Grazing Pattern on Ecosystem Respiration and Methane Flux in a Sown Pasture in Inner Mongolia, China

The establishment of sown pasture is an important agricultural practice in many landscapes. Although both native grassland and sown pasture play a key role in the global carbon cycle, due to lack of data and field experiments, our understanding of grassland CH4 fluxes and CO2 emissions remains limited, especially when it comes to sown pasture. We measured ecosystem respiration and CH4 fluxes in response to a variety of potential drivers (soil temperature, soil moisture, ammonium nitrogen, nitrate nitrogen and dissolved organic carbon) in CG (continuous grazing), RG (rotational grazing) and UG (ungrazed) plots in sown grassland for one year in Inner Mongolia. Fluxes of CH4 and ecosystem respiration were measured using static opaque chambers and gas chromatography. Grazing significantly reduced ecosystem respiration (p < 0.01), and grazing pattern significantly influenced respiration in CG and RG plots (p < 0.01). We find that the sown grassland is a net sink for atmospheric CH4. No influence of grazing pattern was observed on CH4 flux in CG, RG and UG (p > 0.05). Soil temperature is the most important factor influencing ecosystem respiration and CH4 flux in the sown grassland, with soil moisture playing a secondary role to soil temperature. Variation in levels of ammonium nitrogen, nitrate nitrogen and dissolved organic carbon had little influence on ecosystem respiration or CH4 flux (except in UG plots). The values obtained for ecosystem respiration of grasslands have a large uncertainty range, which may be due to spatial variability as well as differences in research methods. Mean CH4 fluxes measured only during the growing season were much higher than the annual mean CH4 fluxes.