Miracle-dz/UniFAR-FTUs huggingface dataset:
The consequences of the arbitrary herbal and analgesics on renal function

Background: Many modifiable risk factors have been linked to the etiology of the increased renal disease worldwide. The objective of this study was to assess the consequences of arbitrary herbal and analgesics on renal function in a series of Saudi patients. Methodology: This study investigated 2944 Saudi volunteers who have joined during a cross-sectional survey conducted in Hai'l region. Renal function status was established corresponding to Glomerular infiltrating Rate (GFR) estimation using creatinine level, age, and sex. GFR was categorized into: Stage III CKD (GFR = <60 - 30 mL/min). Stage IV (GFR = <30 – 15 mL/min). Stage V (GFR = <15 mL/min). Results: Around 14.4% of participants claimed using non-steroidal anti-inflammatory drugs (NSAIDs). Of the 391 analgesics users, about 12.8% were found with impaired renal function. The risk of analgesics uses in deteriorating renal function, the relative risk (RR) and the 95% confidence interval (95%CI), RR (95%CI) = 1.7926 (1.3313 to 2.4137), P = 0.0001. Out of the 426/2714(15.7%) herbal users, 45/426(10.6%) were found with impaired renal function. The risk of herbal uses in deteriorating renal function, the RR (95%CI) = 1.3659 (1.0366 to 1.7999), P = 0.0268. Conclusion: Significant Reverse associations between arbitrary herbal use as well as, frequent NSAIDs renal function. The frequent use of Arbitrary herbal and NSAIDs is common among the Saudi Community, particularly among women.
Prevalence of bronchial asthma among Al-Qunfuda populations and extent of awareness of the preventive methods from bronchial asthma exacerbating retrospective study

Objectives: To assess bronchial asthma prevalence in Al-Qunfudhah population, the extent of awareness by the preventive methods from exacerbating asthma and to determine the effects of bronchial asthma exacerbation on patient life, work, school, and relationships. Methodology: This is an observational cross sectional study design. 952 respondents from AlQunfudhah region's population formulated an electronic questionnaire using question items from previously validated questionnaires. All data was analyzed using the SPSS version 23.0 program (SPSS Inc, Chicago, IL). Results: our study down on 952 participants most of them females 860 between (26-60 years), 844 residents in Al-Qunfudhah and suburbs. We founded that majority of participants (934) were thinking about smoking and breath of dust are the main causes and triggering factors for bronchial asthma. Also, we found that 734 participants though that cough is the main symptom of asthma. Lastly the information’s taken from the 622 participants about the treatment of bronchial asthma confirming that the use of the inhaler and medicine only when symptoms are present.
Radiological Assessment of Prevalance and Quality of Periapical Status of Endodontic Treatments

Background The aim of this study was to determine the current prevalence and quality of endodontic treatments and investigate the relationship of various factors with posttreatment endodontic disease (PTED) in a Turkish subpopulation. Material/Methods The cone beam computed tomography (CBCT) images of 1069 patients (male, 50.9%; female, 49.1%; mean age, 45.32±13.50 years) were retrospectively analyzed. A total of 20 646 teeth were examined; 1604 had undergone root canal. Periapical status was assessed using a modified CBCT periapical index. The relationship between periapical status and quality of root canal fillings (RCFs) was analyzed statistically using the chi-square test. Multivariate logistic regression was performed to evaluate the effect of individual parameters by adjusting them for other variables. Results A total of 7.8% of all teeth had RCF. The prevalence of poor filling (having at least 1 procedural error) was 54.1%; the prevalence of PTED was 56.8%. The prevalence of PTED was 44.3% in teeth with short RCF, 10.8% with overextended RCF, 35.7% with nonhomogeneous RCF, and 15.5% in teeth with untreated root canals. The rate of RCF teeth with procedural errors associated with PTED was 76.2%. There was no significant difference between sexes in apical periodontitis (P>0.05), which developed more frequently in teeth with procedural errors. Conclusions The overall prevalence of poor fillings (having at least 1 procedural error) among RCF teeth was high (54.1%) in this subpopulation. There is a substantial need to improve the technical quality of endodontic treatment.
Development of a benthic macroinvertebrate predictive model based on the physical and chemical variables of rivers in the Republic of Korea

Abstract Predictive models for the benthic macroinvertebrate community based on environmental variables facilitate the identification of the organisms expected to inhabit an area according to the target environmental conditions when restoring rivers. In this investigation, a biotic community predictive model was developed using benthic macroinvertebrate and environmental variable data collected from 1,210 sites in the Republic of Korea from 2010 to 2020. The sites were classified into six groups according to Two Way Indicator Species Analysis (TWINSPAN) and based on their individual abundance/m2 of benthic macroinvertebrates. The TWINSPAN groups were related to 14 variables by stepwise multi-discriminant analysis. The relative importance of the environmental variables that classified each TWINSPAN group was in the order of mean diameter of particle size, catchment area, altitude, velocity, total phosphorus, latitude, pH, longitude, conductivity, water depth, suspended solids, biochemical oxygen demand, stream order, and total nitrogen. Discriminant functions 1–4 showed statistically significant and a predictive model was developed using functions 1 and 2 based on Wilks’ lambda values. The fit of the derived model was confirmed using Sørensen similarity (number of taxa) and Bray–Curtis dissimilarity (individual abundance/m2) analyses between the predicted organisms and those observed at the sites. The distributions of similarity and dissimilarity that were confirmed by stream type ranged from 0.60 to 0.72 and 0.46–0.56, respectively, based on the mean. Based on the predicted and observed values, the ratio of shredders and scrapers to collectors showed similar results overall for each stream type. The predictive model derived using nationally managed available data is expected to be applicable to stream and river restorations in the future, as it provides a statistical assessment of the biotic communities that are expected to inhabit a given environment. Key highlights points A biotic community predictive model is presented. The model was developed using benthic macroinvertebrate and environmental variable data collected from 1,210 sites across the Republic of Korea from 2010 to 2020. The purpose of the model is to identify communities that should be present in river environments after restoration under modified environmental conditions. The model can function on a larger scale to address the increasing need for river restoration from a broader perspective. Model usage will provide successful and sustainable results and meet the needs of policy makers to restore riverine environments.
A Novel MPPT Algorithm for Photovoltaic Systems Based on Improved Sliding Mode Control

Due to the poor tracking performance and significant chattering of traditional sliding mode control in the maximum power point tracking (MPPT) algorithm, a novel MPPT algorithm based on sliding mode control for photovoltaic systems is proposed in this paper. The sliding mode control structure and new sliding mode surface of the multi-power reaching law are designed with the boost converter as the carrier of the photovoltaic system, and the sigmoid function is proposed to replace the symbolic function and saturation function in the power reaching law to improve the reaching rate and control quality of the traditional sliding mode control. Furthermore, the Liapunov function is employed to analyze the accessibility, existence and stability of the improved sliding mode control. Simulation results under dynamic and partial shading conditions show that compared with exponential sliding mode and constant speed sliding mode, the improved sliding mode control strategy can quickly track the maximum power point of photovoltaic systems under various atmospheric conditions. The proposed MPPT algorithm has stronger robustness and universality. Additionally, the efficiency of the proposed algorithm is improved by 2.3% and 5.6% as compared to the exponential sliding model control algorithm and constant velocity sliding model control algorithm. In addition, the experimental platform is constructed to further validate the feasibility and effectiveness of the proposed algorithm.
IEACC: An Intelligent Edge-Aided Congestion Control Scheme for Named Data Networking With Deep Reinforcement Learning

As a promising implementation of Information-Centric Networking (ICN), Named Data Networking (NDN) has potential advantages over the TCP/IP network in content distribution, mobility support, etc. However, the research on NDN is still in its infancy, and congestion control, NDN’s most important functional element, poses many challenges, such as congestion detection, excessive window reduction for non-congested paths, and unfairness. In this paper, we propose an Intelligent Edge-Aided Congestion Control (IEACC) scheme for the NDN network based on Deep Reinforcement Learning (DRL). The proposed IEACC provides a proactive congestion detector that utilizes intermediate routers to transmit accurate congestion information along the path to consumers through data packets. Furthermore, considering the multi-source transmission in NDN, IEACC divides data packets into different congestion degrees by a lightweight clustering algorithm and provides suitable inputs for DRL, thereby obtaining a reasonable transmission rate. Then, it distributes the estimated bandwidth resources to consumers with transmission needs to maintain fairness. Finally, we implement our proposed scheme in the simulation platform and evaluate the performance in different scenarios. The results show that it can improve data transmission rate, reduce packet loss, and maintain fairness compared with others.
Demographical Analysis of US Homelessness and Predictions Based on Long Short-Term Memory Model

Homelessness is fast becoming one of the most troublesome issues in United States (U.S.) in terms of the uprising total number of homeless population and potential social instability that it may cause. In previous studies, efforts mainly focused on the characteristics of specific subgroups out of the overall homeless. In this paper, more attention is paid to determine major factors related to homelessness in U.S. using correlation and a model is proposed to predict the tendency of change in the total number for homeless population for each state in U.S. by applying advanced machine learning method of Long Short-Term Memory (LSTM). The study suggests that each state would be primarily troubled by homeless subgroups with different characteristics. Its results also imply that crime rates may relate to with the trend of change in total homeless population and the dominant concerns regarding to the categories of crime differ on a state basis. The study further suggests that after optimization, the LSTM model with interpolation or with multi-dimensions are the best approaches to predict the overall change in the number of homeless populations for each state in the U.S.
Multidisciplinary and synergetic research in apparel sector can increase the scope of integrating sustainability

This paper discusses how Multidisciplinary and Synergetic Research in Apparel sector can increase the scope of Integrating Sustainability. It is a Conceptual Research paper discussing with relevant examples how research inspired by other industry and learning from other sectors has worked to advantage of Apparel Sector specially with reference to integrating sustainability. We learnt the ways of mass production from Toyota- Toyota Production System which completely revolutionized the way garments were bulk manufactured. Sweat shops of the 1960s were converted to today’s automated manufacturing system. Automated manufacturing is after all one of the facets of Sustainability as it means “minimize resources”- one of the key focus areas of Sustainability. This research paper shall discuss many other relevant examples as to how broad based research in the industry has shaped it for betterment. Methodology: This Conceptual Research paper discusses multidisciplinary learning of Apparel sector from other industries which has led to swift evolution of the Apparel. In addition this research paper also discusses how sustainability can be better integrated through synergetic research. The multidisciplinary learning and research has led to implementation of innovative ideas inspired from various fields.
Optimal Management of Irrigation Water from Aquifer and Surface sources

Abstract We explore the economic merits of on-farm water storage with tailwater recovery systems to reduce aquifer depletion in a region with expanding irrigated acreage and substantial off-season precipitation. Gains are substantial on a broad scale and long planning horizon, including more than $4 billion in producer surplus, 5 million acre-feet of conserved groundwater, and land capitalization of $24 per acre. Sensitivity analyses provide insights with respect to the impact of discount rates, rainfed returns, return flows, and aquifer recharge rates. Results can inform stakeholders about the optimal allocation of funds directed at agricultural practice adoption and agricultural water investments.
Concentration of Anthocyanins Affecting Spathe Color in Anthuriums

In the article “Concentration of Anthocyanins Affecting Spathe Color in Anthuriums” by R.Y. Iwata, C.S. Tang, and H. Kamemoto [Journal 110(3):383–385], the Figure 1 caption was incorrect. The correct caption should read: Spathe color expressions of anthurium clones in relation to the proportions of cyanidin 3-rhamnosylglucoside and pelargonidin 3-rhamnosylglucoside expressed as OD per gram fresh weight. • Dark Red, ◯ Bright Red, △ Red, ⬣ Light Red, □ Pink, ▴ Light Coral, ≪ Coral, ▪ Orange.
Tuning Thermal, Morphological, and Physicochemical Properties of Thermoplastic Polyurethanes (TPUs) by the 1,4-Butanediol (BDO)/Dipropylene Glycol (DPG) Ratio

Thermoplastic polyurethanes (TPUs) are versatile polymers presenting a broad range of properties as a result of their countless combination of raw materials—in essence, isocyanates, polyols, and chain extenders. This study highlights the effect of two different chain extenders and their combination on the structure–property relationships of TPUs synthesized by reactive extrusion. The TPUs were obtained from 4,4-diphenylmethane diisocyanate (MDI), polyester diols, and the chain extenders 1,4-butanediol (BDO) and dipropylene glycol (DPG). The BDO/DPG ratios studied were 100/0, 75/25, 50/50, 25/75, and 0/100 wt. %. The TPUs were characterized by size exclusion chromatography (SEC), Fourier-transform infrared spectroscopy (FTIR), differential scanning calorimetry (DSC), small-angle X-ray scattering (SAXS), UV–vis spectroscopy, and physical-mechanical properties. The results indicate that DPG promotes compatibility between rigid (HS) and flexible (SS) segments of TPUs. Consequently, increasing DPG content (>75 wt.%) reduced the organization of the rigid segments and the degree of phase separation, increasing the polydispersity of the interdomain distance and the transparency in the UV–visible spectrum of the TPUs. Furthermore, increasing DPG content also reduced the amount of hydrogen bonds present in the rigid phase, reducing or extinguishing its glass transition temperature (TgHS) and melting temperature (Tm), and increasing the glass transition temperature of the flexible phase (TgSS). Therefore, increasing DPG content leads to a deterioration in mechanical properties and hydrolysis resistance.
Temperature-stress-induced Production of Abscisic Acid and Dihydrophaseic Acid in Warm- and Coolseason Crops1

Abscisic acid (ABA) metabolism of 6-week-old seedlings of cool- and warm-season crops was determined after a 24-hr exposure to supra- and sub-optimal temperatures. Plants were grown at 25°C and then exposed to 10, 25, or 40°C. After a 24-hr exposure, free (FABA) and hydrolyzable (HABA) abscisic acid and dihydrophaseic acid (DPA) were measured in the plant tops by gas chromatography. Warm-season crops, exposed to 10°C exhibited elevated levels of FABA, HABA and DP A compared to those plants exposed to 25 or 40°C. Among cool-season crops, only peas had higher FABA and HABA levels at 40°C than at 10 or 25°C, while beets had lower levels of HABA at 25°C than at 10 or 40°C. DPA existed at much higher concentrations than FABA and HABA in all plants. The increases in ABA and DPA in warm-season crops exposed to 10°C are attributed to low temperature stress.
PENGGUNAAN MEDIA VIDEO UNTUK MENINGKATKAN PENGETAHUAN DAN KETERAMPILAN KADER POSYANDU DALAM MELAKSANAKAN DETEKSI STUNTING

Kegiatan deteksi stunting dapat dilakukan oleh Kader Posyandu sebagai penghubung antara petugas kesehatan di Puskesmas dengan masyarakat, kader diharapkan berperan aktif melakukan pendataan balita,mengukur panjang badan dan tinggi badan dengan benar. Kemampuan kader posyandu dalam melakukan pengukuran panjang / tinggi badan balita hanya 30 %kegiatan posyandu yang dilaksanakan dengan benar.Pentingnya pelatihankader untuk meningkatkan kemampuan dalam melakukan pengukuran sehingga mengurangi kesalahan dalam menentukan status gizi balita.Media video sebagai media promosi kesehatan dianggap mampu menjelaskan hal-hal yang abstrak dengan memberikan gambaran yang realistik menjadi bagian penting dalam proses komunikasi. Sehingga media ini dianggap baik untuk menjadi sarana belajar dalam upaya meningkatkan pengetahuan dan keterampilan kader.Tujuan dari penelitian ini adalah untuk melihat pengaruh penggunaan media video terhadap peningkatkan pengetahuan dan keterampilan kader dalam melakukan kegiatan deteksi Stunting di Posyandu wilayah kerja Puskesmas Sungai Kakap Kabupaten Kubu Raya tahun 2019. Rancangan study ini digunakan quasi eksperimentdengan bentuk pre-posttest with control design, Pengambilan sampel berdasarkan teknik probability samplingsecara simple random samplingsebanyak 80 kader Posyandu di wilayah kerja Puskesmas Sungai Kakap Kabupaten Kubu Raya.Hasil penelitian ini menunjukkan bahwa nilai p=0,00, sehingga dapat disimpulkan bahwa terdapat pengaruh penggunaan media video terhadap peningkatan pengetahuankader tentang stuntingdan pelaksanaan deteksi stunting.
Designing of brake timing of autonomous emergency braking system to avoid collision to pedestrians

This study analyzes the brake operation behavior of drivers when a pedestrian runs out onto a road with good visibility. For this purpose, 15 subjects were observed in a driving simulator. As the evaluation criteria, we adopted the TTC to avoid the collision to pedestrian in the front/back direction at the start of braking and the spare distance between the pedestrian and the vehicle in the sideways direction at the start of braking. To determine the reliability of these test results, we also analyzed the initiation timing of a driver's braking operation in a real road environment using drive recorders and compared these results with those test results. Then, based on the results of this driving simulator test, we proposed the lowest 1% of the cumulative frequency of the driver's operation timings as the time of starting the brake operation in autonomous emergency braking. Finally, this proposed brake control timing’s adequacy was validated in an experiment. The system’s brake control did not interfere with the drivers’ brake operation, confirming that driver overconfidence in the system was controlled.
MATE1 Deficiency Exacerbates Dofetilide-Induced Proarrhythmia

Dofetilide is a rapid delayed rectifier potassium current inhibitor widely used to prevent the recurrence of atrial fibrillation and flutter. The clinical use of this drug is associated with increases in QTc interval, which predispose patients to ventricular cardiac arrhythmias. The mechanisms involved in the disposition of dofetilide, including its movement in and out of cardiomyocytes, remain unknown. Using a xenobiotic transporter screen, we identified MATE1 (SLC47A1) as a transporter of dofetilide and found that genetic knockout or pharmacological inhibition of MATE1 in mice was associated with enhanced retention of dofetilide in cardiomyocytes and increased QTc prolongation. The urinary excretion of dofetilide was also dependent on the MATE1 genotype, and we found that this transport mechanism provides a mechanistic basis for previously recorded drug-drug interactions of dofetilide with various contraindicated drugs, including bictegravir, cimetidine, ketoconazole, and verapamil. The translational significance of these observations was examined with a physiologically-based pharmacokinetic model that adequately predicted the drug-drug interaction liabilities in humans. These findings support the thesis that MATE1 serves a conserved cardioprotective role by restricting excessive cellular accumulation and warrant caution against the concurrent administration of potent MATE1 inhibitors and cardiotoxic substrates with a narrow therapeutic window.
LTBP4, SPP1, and CD40 Variants: Genetic Modifiers of Duchenne Muscular Dystrophy Analyzed in Serbian Patients

Background: Clinical course variability in Duchenne muscular dystrophy (DMD) is partially explained by the mutation location in the DMD gene and variants in modifier genes. We assessed the effect of the SPP1, CD40, and LTBP4 genes and DMD mutation location on loss of ambulation (LoA). Methods: SNPs in SPP1-rs28357094, LTBP4-rs2303729, rs1131620, rs1051303, rs10880, and CD40-rs1883832 were genotyped, and their effect was assessed by survival and hierarchical cluster analysis. Results: Patients on glucocorticoid corticosteroid (GC) therapy experienced LoA one year later (p = 0.04). The modifying effect of SPP1 and CD40 variants, as well as LTBP4 haplotypes, was not observed using a log-rank test and multivariant Cox regression analysis. Cluster analysis revealed two subgroups with statistical trends in differences in age at LoA. Almost all patients in the cluster with later LoA had the protective IAAM LTBP4 haplotype and statistically significantly fewer CD40 genotypes with harmful T allele and “distal” DMD mutations. Conclusions: The modifying effect of SPP1, CD40, and LTBP4 was not replicated in Serbian patients, although our cohort was comparable in terms of its DMD mutation type distribution, SNP allele frequencies, and GC-positive effect with other European cohorts. Cluster analysis may be able to identify patient subgroups carrying a combination of the genetic variants that modify LoA.
Enhanced LSTM-based community energy consumption prediction model leveraging shared building cluster datasets

Unlike in the past, as the scale of buildings expands from a single building to a group of buildings, it is necessary to respond to the demand for energy consumption for the entire community. This study attempted to improve the electricity consumption prediction performance of single buildings by reflecting the inherent occupant behaviour patterns embedded in the shared electricity consumption data of single buildings. The proposed method utilized electricity consumption data for all other 7 target buildings as a part of LSTM model inputs in combination with meteorological data to predict the electricity consumption profile of a specific building. As a result, the proposed method reduced the error by utilizing the similar energy profiles of the surrounding buildings, *and the prediction performance of the total electricity consumption of the community was increased by 5.11% based on RMSE. The newly proposed method reflects the inherent occupant behaviour patterns and temporal electricity consumption patterns from energy profiles of nearby buildings.