Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving the potential of Laku Pandai (Branchless Banking) to develop sustainable financial inclusion

The fund management and investment campaign will become a moral hazard to educational institutions as a center of knowledge and culture if it does not involve the community. Using the Smart Behavior Social Intervention Method in Taruma Jaya Village, Kertasari, Bandung Regency, socialize the skills development pattern and identify Laku Pandai’s banking partners’ income sources. This paper aims to increase product diversification in Laku Pandai associated with the potential for sustainable financial inclusion in the village of Taruma Jaya. Innovation and product alignment with 109 respondents collected and filled out questionnaires consists of the university, industry, government relations, innovation and production processes. The mechanism of interaction between Laku Pandai and the five variables has had a positive impact on the improvement of output at a significant level of 0.05 and the university has the lowest significance compared with other variables. The results show the potential benefits for Laku Pandai when collaboration can boost their products’ performance and enable people around Citarum, in particular Kilometer 0 Area, to find job diversification initiated from support for branchless banking to start up business with access to finance.
Structural Characterization of Vapor-Deposited Glasses of an Organic Hole Transport Material with X-ray Scattering

Vapor-deposited organic glasses can be produced with enhanced thermal stability and tunable molecular orientation by controlling the substrate temperature during deposition. Recent work has also shown improved charge carrier mobility associated with anisotropic molecular packing in organic electronics. Here grazing-incidence wide-angle X-ray scattering (GIWAXS) is used to characterize the structural anisotropy in glasses of a hole transport material, N,N′-bis(3-methylphenyl)-N,N′-diphenylbenzidine, commonly referred to as TPD. The TPD glasses were prepared by physical vapor deposition at substrate temperatures between 0.79 Tg and 0.98 Tg, where Tg is the glass transition temperature. A GIWAXS-derived orientation order parameter is used to quantify the anisotropy observed in the scattering patterns of the glasses. The GIWAXS-order parameter exhibits both positive and negative values as a function of substrate temperature, indicating either face-on or edge-on packing, and correlates well with a spectroscopi.
Immobilization of Bovine Serum Albumin onto Porous Poly(vinylpyrrolidone)-Modified Silicas

Grafting with poly(N-vinyl-2-pyrrolidone) (PVP) was used to functionalize silica. The functionalized silicas were characterized by scanning electron microscopy, nitrogen adsorption, energy-dispersive X-ray analysis, Fourier transform spectroscopy, and thermogravimetric analysis. The Barrett–Joyner–Halenda analysis confirmed that PVP-modified silica samples have a mesoporous structure. Bovine serum albumin (BSA) was immobilized onto the surface of PVP-modified silica systems through physical adsorption. Also it was shown that the adsorption capacity of the tested samples depends on the quantity of PVP inside the silica matrix, which confirmed the formation of a specific complex between BSA and PVP. In addition, the effects of pH, time, and concentration on BSA adsorption were investigated. The maximum BSA adsorption capacity was 71.54 ± 2.0 mg/g. The desorption and reusability of all prepared samples were studied as well. PVP-modified silicas are capable of holding more BSA compared to nonmodified silica.
Comparison of Efficacy and Safety of Atorvastatin Versus Combination of Atorvastatin - Ezetimibe in Newly Diagnosed Dyslipedemic Patients

Hypercholesterolemia is a major risk factor for cardiovascular disease. Low-density lipoprotein cholesterol is an established risk factor for atherosclerotic disease, particularly coronary artery disease (CAD); therefore, management of high serum LDL-C levels is the most important goal in the treatment of dyslipidemia. Since therapy with statins alone fails to achieve the targeted LDL-C values with lesser side effects it is better to try a combination therapy having high efficacy and safety profile. This study compared the efficacy and safety of the combination of Atorvastatin 10 mg +Ezetimibe 10 mg versus Atorvastatin 10 mg alone in lowering LDL-C in newly diagnosed dyslipidemic patients. Besides, it compared the efficacy of the two drugs in lowering the TC, TG, and TC/HDL-C and LDL/HDL-C ratio. We also compared the increase in HDL-C in the two groups at the end of 12 weeks. This study was conducted on 60 hypercholesterolemic patients in SreeBalaji Medical College Hospital. The patients were randomly divided into two groups of 30each. Group 1 was given Atorvastatin 10 mg +Ezetimibe 10 mg while Group 2 was given Atorvastatin 10 mg. The Lipid Profile, biochemical and hematological tests, clinical examination were done on Day 0, 6th week, and 12th week and these results were compared the group and Original Research Article Philip and Elizabeth; JPRI, 33(21A): 41-49, 2021; Article no.JPRI. 66780 42 between groups from 0 to 6th week and 6th week to 12th week and 0 to 12th week. The results from our study indicated that Combination therapy with Atorvastatin 10 mg + Ezetimibe 10 mg is superior to Atorvastatin 10 mg alone in reducing LDL-C, TC, TC/HDL-C ratio and raising the HDL-C levels at the end of 12 weeks. Thus the study implies that combination therapy is superior to monotherapy in the high-risk group of dyslipidemia patients.
Diclofenac Toxicity Abatement in Wastewater with Solar Disinfection: A Study in the Rural Area of Brazil’s Central−West Region

Domestic wastewater has been targeted for the presence of emerging contaminants such as antibiotics, of which diclofenac is one of the most frequently detected. Many studies have focused on the removal of these emerging pollutants. However, the legislation has focused on toxicity monitoring. In search of simplified solutions for rural areas, and to guarantee the safe reuse of effluent in agriculture, this study evaluated the efficiency of a decentralized solar disinfection (SODIS) system regarding the reduction of ecotoxicity, phytotoxicity, and pathogens in domestic wastewater after adding diclofenac potassium. For this purpose, the bioindicators Artemia sp. , Allium cepa L. and Lactuca sativa were used, after 1, 2, and 3 h of exposure to solar radiation. After 3 h of exposure to solar radiation, toxicity was reduced and root growth inhibition was noted, which indicates low effluent toxicity after treatment by the SODIS system. It was achieved a reduction of 3 and 2 log units in the concentration of total coliforms and Escherichia coli, respectively.
Recurring Severe Injection-Related Infections in People Who Inject Drugs and the Need for Safe Injection Sites in Madrid, Spain

Abstract Background An estimated 58 749 people with opioid use disorder engaged in opioid agonist therapy (OAT) in 1132 centers in Spain during 2017. We aimed to calculate the incidence of severe injection-related infections in people who inject drugs (PWID) engaged in OAT in harm reduction settings without a safe consumption space. Methods A retrospective cohort study was performed in PWID engaged in OAT and in a mobile harm reduction unit to quantify admissions to a referral hospital for any severe injection-related infections between 1 January 2016 and 31 December 2019. A Cox proportional hazard regression analysis was used to assess factors associated with any severe injection-related infection. Results Two hundred thirty-seven PWID who engaged in OAT were included in the study. After a median follow-up of 5.5 months (interquartile range [IQR], 1.3–22.7 months), a total of 104 episodes of severe injection-related infections occurred among 56 individuals, and admission due to a second event occurred in 35.7% of this same group. The incidence density of any type of severe injection-related infection was 26.8 (95% confidence interval [CI], 20.2–34.8) episodes per 100 person-years, and the incidence density of complicated skin and soft tissue infections that required hospital admission was 20.4 (95% CI, 15.0–27.3) episodes per 100 person-years. Fifty-six (53.8%) of all the episodes were patient-directed discharge (PDD), and people who had 2 or more hospital admissions had a higher PDD frequency. Conclusions Severe injection-related infections remain highly prevalent among PWID cared for in a harm reduction setting without a safe consumption space. PDD was more frequent among higher-risk individuals who presented 2 or more hospital readmissions.
Randomized and Generated Instances Fitting with the Home Health Care Problem Subjected to Certain Constraints

Home Health Care (HHC) is a worldwide issue. It focuses on how medical and social organizations of different countries handle providing patients with health support at home. In most developed countries, reducing hospital cost constitutes a main objective. It is important to research the improvement of HHC logistics. This paper addressed the generation and development of a benchmark properly fitting different constraints of the HCC problem. Consequently, a generator was proposed dealing with all kinds of constraints such as time window constraints, workload constraints, synchronization, and precedence constraints. This generator allows researchers to validate and compare solving methods on a common dataset regardless of confidentiality issues. We validated our generator by firstly creating a common benchmark available for researchers and secondly by proposing a set of instances and a solving method based on an HHC problem found in the literature.
AC/DC dual-mode magnetoelectric sensor with high magnetic field resolution and broad operating bandwidth

In this study, a dual-mode Metglas/Pb(Zr,Ti)O3 magnetoelectric (ME) sensor was prepared for measuring weak magnetic fields. It is interesting to note that this ME sensor can work at alternating current (AC) and direct current (DC) dual-modes with high field resolution. In AC mode, a very accurate AC magnetic field resolution of 0.8 nT was achieved at a mechanical resonance frequency of 72.2 kHz; moreover, the operating frequency band for resolution better than 1 nT is as wide as 3.4 kHz. We proposed a DC bias field perturbation (DBFP) method to detect the DC magnetic field using lock-in amplifier technology. As a result, an ultra-accurate DC field resolution of 0.9 nT with noise power spectral density as low as 100 pT/Hz was obtained in the studied ME sensor via the DBFP method. The dual-mode ME sensor enables simultaneous measurement for DC and AC magnetic fields with wideband and accurate field resolution, which greatly enhances the measurement flexibility and application scope.
Northeast Asian Modern Martial Arts: An Embodied Synthesis of Virtue Ethics and Deontology

Abstract Moral philosophy has been dominated by three traditions: virtue ethics, utilitarianism, and deontology. This paper challenges two common assumptions behind these ethical outlooks: their place of origin (the West) and their location of ethical conduct (the mind). Grounded in the broader comparative philosophical perspective, the paper draws on the Asian martial arts to advance the argument for the ‘moral philosophy of the body’. Asian martial arts can thus be conceived of as a synthesized moral tradition of virtue ethics and deontology, and this synthesis is arrived at through embodied practices rather than rational contemplation.
The Effect of Fluid Velocity on the Diffusion of Trimethylene Glycol through a Reverse Osmosis Membrane in Microchannel -X

The study aims to observe the diffusion process which is influenced by different velocity and fluid concentrations. Using a microfluidic system and the diffusion process through a reverse osmosis membrane. The research was carried out by flowing fluid into the microchannel. The diffusion process is known by measuring and analyzing the density of liquid waste aquades-trimethylene glycol. The results showed the amount of diffusion through the membrane was influenced by flow velocity and fluid concentration. this is because the velocity of the flow produces pressure on the wall so that it pushes the fluid to diffuse through the membrane.
Prediction of Climate Change using SVM and Naïve Bayes Machine Learning Algorithms

Various reasons are there in failures of Intergovernmental Panel on Climate Change (IPCC) simulation model for prediction of climate change. For the better understanding of IPCC model’s failures by researchers, an improvement is qualitative and quantitative analysis is required and to be implemented. We come across a continuous crashes in simulation of Parallel Ocean Program (POP2) component of the Community Climate System Model (CCSM4), while measuring the impact of ocean model parameter uncertainties on weather simulations, during the period of uncertainty quantification (UQ) ensemble. This manuscript analyse the different machine learning algorithms, such as, Random forest, Linear Regression, k-means and naïve-bayes algorithms. From machine learning, a quality classifier called support vector machine (SVM) classification is used to predict and quantify the failures probability as a function of the values of POP2 parameters. Apart from quantification and prediction, this method performs a better understanding in simulation crashes in other complex geo-scientific models.
‘Team Zebra’: An Exploration of Social Identity, Motivation, and Sport Officiating Persistence

Abstract The purpose of this study is three-pronged: (1) to expand the understanding of social identities and motivations of sport officials, (2) to explore the utilization of Sport Employee Identification (SEI) for sport officials, and (3) to elucidate the impact of identification with an officiating group as it relates to strategies for officiating persistence. The authors conducted in-depth semi-structured interviews with 30 high school varsity basketball officials at two officiating training camps across two different states in the Midwest and Northern regions of the United States. Officials had an average of 12.97 years of officiating experience. Findings demonstrate the importance of having a connection with sport, mentors serving as gatekeepers to the officiating group, and group membership as it relates to sport official motivation, social identification, and likelihood of officiating persistence. Expanding the understanding of sport officials through the lens of social identification and motivation theory has theoretical implications for understanding this unique stakeholder group as part of the sport ecosystem and has practical implications related to the relationship between social identification, motivation, and officiating persistence.
Direct Kinetic Stability-Indicating Densitometric Method for the determination of some Anti-Tuberculosis Drugs

: The current work describes the development and validation of a quantitative and a stability-indicating densitometric method for sensitive estimation of some anti-TB drugs, rifampicin (RIF), pyrazinamide (PZA) and isoniazid (INH). Precoated silica gel TLC aluminium plates were utilized as the stationary phase and the eluent comprised of two mobile phases were selected; chloroform-ethanol-isopropanol (4.5: 5.25: 5.25, v/v/v) and ethanol-chloroform- ammonia (33 %) (7: 7: 0.5 v/v/v). Densitometric analysis was achieved at λ max 270 nm for RIF, PZA and INH. Stress analysis was carried out under various reaction conditions including acid and base hydrolysis, oxidation, and photo-degradation. Compact spots of studied drugs were foundat R f values 0.35±0.01, 0.83±0.03 and 0.37±0.02 for INH, RIF and PZA respectively. The data of linear regression analysis indicated a good linear relationship over the range of 75-600, 150-900 and 75-600 ng/spot for INH, RIF and PZA respectively. The method was validated for robustness, precision and recovery. Limit of detection ranged from 4.84 to 32.2 ng/spot. Under various stressed conditions, RIF, PZA and INH showed degradation behavior. Peaks of a degraded products were well resolved with reasonably different R f values from the intact drugs. The degradation rate constants and half-lives have been determined for each reaction.
Development of a Cable Damage Detection Deep Learning Method based on Acceleration Response of Cable-Stayed Bridge

The purpose of this thesis was to select a cable-stayed bridge to which external force may cause damage as the subject, to develop a damage detection deep learning method capable of detecting cable damage, and to test and verify the developed damage detection deep learning method. The damage detection method was developed as a system that utilizes the acceleration response of a structure measured for maintenance purposes. To extract information capable of identifying the damage locations from among the measured acceleration responses, a CNN ID was used to develop the damage detection deep learning method. The developed damage detection deep learning method was developed in a way not independently arranging 1 machine learning model per each measuring point and finally predicting the damage location based on the decision-making results collected from each machine learning model. The developed damage detection deep learning method performed the learning per each machine learning model by utilizing the acceleration response of a structure acquired based on the preliminary damage test. Finally, the damage detection deep learning method that completed the learning verified the cable damage location detection performance by utilizing the data acquired based on the cable-stayed bridge damage test. As a result, it was confirmed that the developed damage detection deep learning method predicted the damage location of a cable-stayed bridge at an average accuracy of 89%. In the current research, only the cable-stayed bridge of the Seohaegyo Bridge was studied, but in the improved study, the research will be conducted on other bridges and damage assessment will be conducted on all cables.
Establishment of the determination on kelp alginate

China ranks first in the world yields of Kelp cultivation.Annual output of dry Kelp is more than 800,000 tons,and the kelp for the production of alginate,iodine and mannitol is about two-third stotal Kelp output annually.At present,annual output of alginate in China has reached 30,000 tons,accounted for 70% of the total world.However,it has been lack of uniform industry standard.The production enterprises adopted different determination methods of alginate,iodine and mannitol,and product yield was also quite different,which affected the consumption of raw materials and energy consumption per unit of product been calculated.Therefore,we studied and formulated the agricultural industry standard "the determination methods of iodine,alginate,mannitol contents in Kelp". Alginate content in Kelp was determined by gravimetric method and calcium acetate method.The method recoveries 92.0%,the gravimetric and calcium acetate method relative deviation between the two methods 1.2%,to meet the testing requirements
Efficiency and Response to Phosphorus Use of Corn Cultivars in the Tropical Climate

Aims: The present study evaluated the efficiency and response to phosphorus (P) use of corn cultivars in the tropical climate in southern Para State, Brazil. Study Design: Two experiments were carried out, in low P (50 kg ha -1 ) and high P (200 kg ha -1 ) applications in Randomized block design (RBD), three replicates, and fourteen cultivars were used for the experiment. Place and Duration of Study: The experiment was carried out in the 2019-20 harvest at Sitio Vitoria (8o18'32" S, 50o36'58" W), located in the municipality of Santa Maria das Barreiras, a southern region of Para state, Brazil. Methodology: Phosphate fertilization was used in the sowing groove. In low P, 50 kg ha of P2O5 were applied, and in high P were 200 kg ha of P2O5. The source was simple superphosphate (18% P2O5). The dose in high P was defined to achieve high yields and considering the nutrient Original Research Articles Santos et al.; IJPSS, 33(4): 41-48, 2021; Article no.IJPSS. 66707 42 content in the soil, in low P the dose was well below. Nitrogen and potassium fertilization in cover were divided: 50% in V4 and 50% in V8. Doses of 150 kg ha -1 of N and 90 kg ha -1 of K2O were used, and fertilizers were used: urea (43% N) and potassium chloride (60% K2O). Results: The highest means were: 8,710 kg ha -1 efficiency and 29.78 kg kg -1 response. The efficient cultivars were: ORION, BR 2022, CR 120, AL BANDEIRANTE, M 274, BRS 3046, and AG 8088. And those considered responsive were: BM 3061, BR206, CATIVERDE 02, BR 205, ANHEMBI, BR 2022, and BRS 3046. Conclusion: The cultivar BR 2022 and BRS3046 showed high efficiency and also a response to
Crowdsensing big data: sensing, data selection, and understanding

Mobile Crowdsensing (MCS) has become an emerging paradigm for large-scale sensing. It empowers ordinary citizens to contribute data sensed or generated from their mobile devices (e.g., smartphones, wearable devices), aggregates and fuses the data in the cloud for crowd intelligence extraction and human-centric service delivery. The data contributed by the crowd in MCS systems presents the features such as multi-modal, rich-content, spatio-temporal, and human-centric. The key challenges and techniques about crowdsensing big data were discussed. The recent progress of our group in this promising research area was described.
Long-term trends of diurnal rainfall and hydro-meteorological disaster in the new capital city of Indonesia

Understanding how extremes are changing in long-term rainfall conditions is an important first step for planning appropriate adaptation measures of climate change. The purpose of this study is to investigate an uneven precipitation distribution and hydrometeorological events through the long-term trend of precipitation in Penajam Paser Utara, the new capital city of Indonesia. We used gridded precipitation APHRODITE and Mann-Kendall trend test over 60 years (1954-2015). The results showed the number of consecutive wet days (CWD) is higher than consecutive dry days (CDD). It also makes the number of floods larger than the drought. Even, the trend of rainfall was decreased from 1990 to 2015.
High-Order Mode Characteristics of a 7-Cell Hollow-Core Photonic Bandgap Fiber

For many years, the number and losses of modes have restricted the large-scale application of hollow core photonic bandgap fibers (HC-PBFs) in data transmission. Researchers have successfully reduced fiber loss to an extremely low level; however, little attention has been given to the specific characteristics of the higher-order modes (HOMs) in HC-PBF. In this paper, the high-order mode characteristics of a 7-cell HC-PBF are investigated in detail, and the non-degenerate phenomenon of HE21 is observed. Through an in-depth theoretical analysis by discussing the influence of the structural deformation of the fiber near the core on the high-order mode characteristics, the cause of the phenomenon is described. Thus, an optimized 7-cell HC-PBF for supporting 6 modes is developed. Additionally, the bending losses of all the HOMs in the fiber are measured. Marked bending loss is not observed even when the bending radius is as small as 0.5 cm, which is different from a solid core four-mode fiber. These findings will provide a reference for HC-PBF as a new type of few-mode fiber for the mode division multiplexing field.
DCTL for Continuous-Time MDPs

Discounted Computation Tree Logic is a logic that measures utility (as a real value in the interval [0,1]) instead of discrete truth (only 0 or 1). It is able to express properties that give more weight to the near future than to the far future. This article extends earlier work on DCTL with time, to continuous-time Markov chains and continuoustime Markov decision processes. It presents model checking algorithms for the two possible semantics of DCTL. This technical report is an extended version of [4].