Miracle-dz/UniFAR-FTUs huggingface dataset:
Construction of Ni2P-MoC/Coal-Based Carbon Fiber Self-Supporting Catalysts for Enhanced Hydrogen Evolution

Efficient and inexpensive electrocatalysts play an important role in the hydrogen evolution reaction (HER) of electrolytic water splitting. Herein, Ni2P-MoC/coal-based carbon fiber (Ni2P-MoC/C-CF) self-supporting catalysts were obtained by low-temperature phosphorization and high-temperature carbonization. The Mo source and oxidized coal were uniformly dispersed in the carbon support by electrospinning technology. A precursor of Ni was introduced by the impregnation method. The synergistic effect of MoC and Ni2P may reduce the strong hydrogen adsorption capacity of pure MoC and provide a fast hydrogen release process. In addition, the C-CFs prepared by electrospinning can not only prevent the agglomeration of MoC and Ni2P particles at a high temperature but also provide a self-supporting support for the catalyst. As a result, the catalytic performance of the HER was improved greatly, and a low overpotential of 112 mV at 10 mA cm−2 was exhibited stably by the Ni2P-MoC/C-CFs. This work not only converts coal into coal-based carbon materials but also provides a feasible pathway for the rational design of large-scale molded hydrogen electrocatalysts.
Financial Technology: An Evaluation of the Integrated Model for Peer-to-Peer Lending Platforms in Indonesia

Purpose: The aim of this study is to examine the use peer-to-peer lending platforms in Indonesia by integrating Technology Acceptance Model (TAM), Theory of Trust, and Social Cognitive Theory (SCT). Theoretical framework: The theory of this study is Technology Acceptance Model (TAM), Theory of Trust, and Social Cognitive Theory (SCT). Design/methodology/approach: The paper opted for an exploratory study using survey approach. 211 respondents were selected using snowball sampling to people who know about P2P Lending and have or were using the services provided by the platforms. Data analysis used Structural Equation Model-PLS by Smart-PLS 3.0 software Findings: The results show that self-efficacy is dominant in directly shaping individual’s behavioral intention for using P2P Lending and indirectly creating perceived ease of use. In theoretical perspective, the findings provide empirical evidences that the behavior of individuals in using information technology is determined by several factors included in the integrated model, by which literatures in system usage behavior are enriched. Research, Practical & Social implications: The study also contributes to practices by providing considerations for the government in their effort of making policies related to online loans and for service providers in updating their technology. Originality/value: This study identifies factors influencing the behavioral intention of lenders and borrowers to use P2P Lending through integration of three models: Technology Acceptance Model, Theory of Trust, and Social Cognitive Theory.
The Longitudinal Association of Egg Consumption with Cognitive Function in Older Men and Women: The Rancho Bernardo Study

This study examines the prospective association of egg consumption with multiple domains of cognitive function in older, community-dwelling men and women followed for 16.3 years. Participants were 617 men and 898 women from the Rancho Bernardo Cohort aged 60 and older, who were surveyed about egg intake/week in 1972–1974, and attended a 1988–1991 research visit, where cognitive function was assessed with 12 tests. Analyses showed that egg intake ranged from 0–24/week (means: men = 4.2 ± 3.2; women = 3.5 ± 2.7; p < 0.0001). In men, covariate-adjusted regressions showed that egg intake was associated with better performance on Buschke total (p = 0.04), long-term (p = 0.02), and short-term (p = 0.05) recall. No significant associations were observed in women (p’s > 0.05). Analyses showed that in those aged <60y in 1972–1974, egg intake was positively associated with scores on Heaton copying (p < 0.04) and the Mini-Mental Status Exam (MMSE; p < 0.02) in men and category fluency (p < 0.05) in women. Egg intake was not significantly associated with odds of poor performance on MMSE, Trails B, or category fluency in either sex. These reassuring findings suggest that there are no long-term detrimental effects of egg consumption on multiple cognitive function domains, and for men, there may be beneficial effects for verbal episodic memory. Egg consumption in middle age may also be related to better cognitive performance later in life.
A Uni-Stage Isolated Charging System for Electric Vehicles Employing SEPIC and Buck-Boost Converter for Different Supply Voltage Semi -Cycles

In the current article, a uni-stage, isolated, non-bridged charging scheme is filed for the charging of LEVs (light electric vehicles) with enhanced power factor. A linear voltage to current relation is achieved on the supply terminal with the discussed scheme for EV charger so that the criteria of IEC-61000-3-2 are not violated. The charger consists of an AC-DC converter with two electrically isolated separate paths for both halves of the input terminal voltages. In the presented work, an isolated buck-boost and sepic converter-based non-bridged EV charger is introduced with the ability of power factor (PFP) preregulation at the supply end. The charger is reached by a combination of buck-boost and sepic converter which works as sepic and buck-boost converter-based chargers in the positive and negative half of input terminal voltages respectively. The nobility in this article is the elimination of back-feeding diodes. However, the same task is performed by antiparallel body diodes of the switches which results in reduction in components counting and increase in efficiency. The converter designed in the filed scheme is operated in discontinuous conduction mode (DCM) and the discussed electric vehicle charger topology is validated using the MATLAB simulation results.
Service quality of e-hailing taxi services in Johannesburg

The study examines the service quality dimensions of e-hailing taxi services for passenger flow in Johannesburg. The objective is to determine the major service quality characteristics that affect customer satisfaction for using e-hailing taxis in Johannesburg. Questionnaires were randomly distributed to 499 e-hailing taxi users in Johannesburg. This study identified and tested service quality dimensions relevant to passengers’ desire for a transport service. The study added safety and affordability to the traditional five service quality factors for analysis. The data collected were subjected to exploratory factor analysis (EFA) and regression. EFA identified reliability, tangibility, safety, and empathy as the major service quality factors for e-hailing taxis in Johannesburg. It was found that these variables significantly affect customer satisfaction with e-hailing taxi services in Johannesburg. A change in reliability will contribute about 19% to customers’ perception of e-hailing taxi services, 28% for tangibility, 15% for safety and 19% for empathy, respectively. The study indicates the importance of safety as a major service quality dimension of public transportation. It implies that e-hailing taxi operators need to pay attention to passengers’ safety with vigilance and appropriate safety measures.
Targeted Broadcast in Vehicular Ad-Hoc Networks

Vehicular ad-hoc networks (VANETs) experience large variations in network connectivity due to changes on traffic levels. At low traffic, vehicles are distant from one another, so they establish intermittent links reducing connectivity. At high traffic, vehicles are in close proximity to one another, increasing connectivity. This paper proposes a novel multi-hop broadcast algorithm that enables vehicles to estimate the traffic level within their two-hop neighborhood and use routing metrics that depend on the measured traffic level. Another novel concept is that the broadcast message is targeted to a section of the road, broadcast area, which has an expiration time. The algorithm is designed with the goal of increasing the speed that the broadcast message propagates along the road to deliver it to all vehicles ahead and behind the source vehicle that reach the broadcast area before it expires. The algorithm is implemented for the Internet Protocol Version 4 (IPv4) architecture in the Network Simulator 3 (ns-3) and evaluated at increasing traffic levels generated with the Simulation of Urban MObility (SUMO). Simulation results confirm that the broadcast message is delivered reliably and propagates at a speed that increases with the traffic level and plateaus at high traffic. A comparison with other relevant algorithms demonstrates better performance due to the ability to adapt to different traffic levels.
The Magnetotellurics Inversion with a Tree Based Bayesian Framework

Bayesian inversion offers a valuable means of estimating uncertainty, allowing us to evaluate the impact of inversion. However, tackling Bayesian inversion in high-dimensional spaces remains a crucial area of research. Building upon Hawkins’ work, we have developed a tree-based Bayesian inversion scheme specifically designed to address the challenges posed by the magnetotellurics inversion problem. By employing the cdf9/7 wavelet as our basis function, we conducted a numerical simulation of a low-resistance abnormal body, yielding highly accurate inversion results.
Evaluating flash flood vulnerability using combined deterministic and parametric model: A case in the upper Ciliwung watershed, Indonesia

On January 19, 2021, a flash flood hit the Upper Ciliwung watershed, a mountainous area in Indonesia, causing damage to seven buildings and displacing 1,800 residents. To minimize the impact of such disasters, there is a need for disaster risk awareness and management specifically focused on flash floods in mountainous regions. Therefore, this study aims to assess the flash flood potential index value in the Upper Ciliwung watershed. The research utilized deterministic (Soil and Water Assessment Tool-SWAT) and parametric (Flash Flood Potential Index-FFPI) modeling to analyze various factors, including slope, geology, ground movement, Antecedent Precipitation Index (API), and Runoff Coefficient (Curve Number-CN). The models showed satisfactory goodness-of-fit statistics with R2 and Nash-Sutcliffe efficiencies (NSE) values of 0.58 and 0.57, respectively. The findings indicated that 39.95% of the watershed had a moderate vulnerability index value of 3, while downstream areas (31.7%) had a low vulnerability index value of 2, and the middle and upstream regions had high vulnerability index values of 4 and 5, covering 23.65% and 2.49% of the total area. These results provide valuable insights to local authorities for implementing measures to reduce the Upper Ciliwung watershed’s vulnerability to flash floods.
The potential of coffee ground compost to enhance soil pH, growth, and production of mustard greens in acid-dry land

The deficiency of productive agricultural land was an obstacle to the development of mustard green cultivation. The utilization of acid-dry land is a solution for the development of mustard green cultivation. South Kalimantan has acid-dry land covering an area of 87.61% of the total dry land. The use of coffee grounds compost is an alternative technology for improving soil fertility in acid dry land. Coffee grounds compost can increase soil organic matter, so it can fertilize the soil and increase crop production. This study aims to determine the quality of coffee grounds compost and determine the best dosage of coffee grounds compost to increase soil pH, growth, and production of mustard greens in acid dry land. This research method used a single-factor randomized block design (RBD), namely the dose of coffee grounds compost: k0 = 0 t ha−1; k1 = 10 t ha−1; k2 = 20 t ha−1; and k3 = 30 t ha−1. The physical and chemical characteristics of coffee waste compost have met the criteria for quality compost based on SNI No. 19-7030-2004. The results showed the effect of coffee grounds compost on increasing soil pH, growth, and production of mustard greens. The best dose of coffee grounds compost in increasing soil pH, plant fresh weight, and mustard productivity was found in the K3 treatment with increases of 18.05%, 67.21%, and 67.21% respectively compared to the control. The best treatment for increasing plant height, number of leaves, and width of mustard leaves was treatment k1 with an increase of 51.34%, 31.03%, and 40.60% respectively compared to the control.
Bioinert ceramics scaffolds for bone tissue engineering by laser-based powder bed fusion: a preliminary review

The implementation of laser powder bed fusion (PBF-LB) on ceramics is far more demanding than their metallic and polymeric counterparts for bone tissue engineering (BTE). The review will shed light on bioinert ceramics-based biomaterials manufacturing through PBF-LB incorporating alumina and yttria-stabilized zirconia as oxide-based ceramics and nitride-based ceramics as non-oxide-based ceramics with particular prominence on their properties and requirements for biomedical devices and BTE. The review paper will also classify bioinert scaffolds processed through PBF-LB as a medium to manufacture drug delivery systems (DDS) and to ameliorate critical-sized bone defects based on the fracture site length of the bone with the various modes of functionalization through the incorporation of drugs, stem cells, and growth factors for personalized medicine.
A new perspective on cognitive rehabilitation: layout design methods for wandering behavior in dementia patients

The global prevalence of dementia is on the rise, and existing medical models can no longer fulfill the pervasive need for intervention. Dementia is incurable, but the identification of Mild Cognitive Impairment (MCI) provides a window of opportunity for early intervention. The environmental therapy theory has been widely adopted, however, the implementation pathways and empirical evidence for cognitive behavioral interventions are still limited. The role of interior layout design as one of the environmental elements in guiding human behavioural patterns has been demonstrated by numerous scholars and extended to be explored in relation to perceptual and cognitive behavioural dimensions. There has been a great deal of research on Wandering Behavior In Patients With Cognitive Disorders in the medical field, but only sporadic reports in the field of design. Employing an “environment-behavior-neuroscience” research approach, this paper constructs the relationship between wandering behavior, cognitive function, and environmental factors, and explores the possibility of environmental intervention to improve cognitive functions. The study shows that: 1) The wandering patterns of dementia patients can be guided through landmarks; 2) There is a direct relationship between the depth of spatial communication and the layout, and optimizing the spatial layout can foster communication and theoretically have a restorative effect on cognitive function; 3) Centripetal layouts are more effective in behavior guidance, while multicore circulation path layouts can accommodate the wandering needs of dementia patients. As dementia is incurable, early intervention is the most effective approach, making this research highly valuable.
Process advantages of laser hybrid welding compared to conventional arc-based welding processes for joining thick steel structures of wind tower

The most common welding processes when joining thick-walled steels in the industry are arc-based welding processes such as GMAW or SAW. For this purpose, the sheets are joined in multi-layer technique, which can lead to productivity losses due to high welding times. The process-specific challenges in welding thick steels using multi-layer technique relate to the high heat input from the process. Therefore, alternative welding processes are being actively sought. A suitable alternative is provided by beam-based welding processes such as the laser hybrid welding processes, which are characterized by deep penetration welds and lower heat input. With implementation of the laser hybrid welding process in the heavy industry, such as the wind tower industry, economic benefits can be reached such as the increase in productivity by reducing the layer number, and the lower consumption of filler material and energy. When comparing SAW welded 25 mm thick steels in five to six layers and single-pass laser hybrid welding, the welding time can be reduced more than 80 % and the costs of filler material, flux and energy can be saved up to 90 %. However, the industrial use of the laser hybrid welding process is still limited to applications, where the material thickness does not exceed 15 mm due to some process-specific challenges such as the sagging, sensitivity to manufacturing tolerances such as gaps and misalignment, limited filler wire mixing, and deteriorated mechanical properties resulting from high cooling rates. To overcome these challenges, a contactless electromagnetic backing based on an externally applied AC magnetic field was used. Eddy currents are induced due to the oscillating magnetic field, and an upward-oriented Lorentz force is generated to counteract the droplets formed due to gravitational forces. It allows to weld up to 30 mm thick structural steels in a single-pass with a 20-kW fiber laser system. Additionally, the gap bridgeability and the misalignment of edges were increased to 2 mm when welding 20 mm thick steels. With the aid of the AC magnetic field, a vortex was formed in the weld root, which had a positive effect on the filler wire mixing. A further significant advantage of the EM backing was the possibility to expand the process parameter window to maintain desired cooling times and mechanical properties, without suffering adverse effects concerning the root quality of the weld.
Influence of buoyancy on phase separation during laser melting of Silicon and Iron ore

Phase separation is a well-known effect in liquid-liquid interactions, which can also occur during laser-related processes such as laser melting and laser alloying. However, the mechanism of phase separation between immiscible liquids on a millimeter scale during rapid laser processes has not been fully investigated, in which the extent of buoyancy’s contribution to it has remained unclear. Therefore, this investigation focused on the effect of buoyancy on liquid phase separation during the laser melting of silicon (Si) and iron ore. A simplified 2D numerical model was established to simulate the motion of a single Si liquid droplet in iron ore melt with and without the impact of gravity, respectively. The rise velocity of the droplet was calculated and analyzed under the effect of gravity. In addition, the phenomena of simultaneous laser remelting of Si and iron ore in layers were recorded with a high-speed camera, and the element and phase distributions of the target nugget were analyzed by Scanning Electron Microscopy/Energy Dispersive Spectroscopy (SEM/EDS). By combining the simulation, high-speed imaging, and SEM/EDS analysis, the effect of buoyancy on phase separation has been qualitatively analyzed. This investigation revealed that buoyancy is not the main driving force of liquid-liquid phase separation during rapid laser processing.
Optimization of Calcination Temperature to Synthesis ZnO Nanostructures as Photocatalyst Using Pineapple as Chelating Agent

ZnO nanostructures were successfully synthesized using the sol-gel method with pineapple extract (Ananas comosus (L.)) as a chelating agent. ZnO nanostructures using cayenne pineapple (Ananas comosus var.cayenne) chelate were calcined at temperatures ranging from 500 ˚C to 900 ˚C, while queen pineapple (Ananas comosus var.queen) was calcined at 700 ˚C and 800 ˚C. ZnO nanostructures synthesized with cayenne pineapple chelate and calcinated at 800 ˚C showed an average particle size of 1.858 μm and an average crystallite size of 35.10 nm, while at 700 ˚C, it was 30.90 nm. The diffraction peaks can be indexed as a hexagonal wurtzite structure (a = 3.25x10−10 m, c = 5.21x10−10 m). The photocatalytic activity of ZnO was evaluated for the photodegradation of methylene blue under UV light radiation. The most effective degradation was achieved with ZnO nanostructures synthesized with cayenne pineapple chelate at a calcination temperature of 700 ˚C under UV light irradiation for 240 minutes. The degradation rate was 55.87% at a concentration of 10 ppm MB solution.
Performance of environmental DNA metabarcoding to identify and quantify benthic organisms in river ecosystems

Our lack of fundamental knowledge about species occurrence, abundance, distribution, threats, and habitat requirements makes it challenging to conserve biodiversity in the face of rising human pressure. To obtain this information, practical and sensitive methods are required to identify and quantify the occurrence and diversity of rare, cryptic, and elusive species. Environmental DNA (eDNA) is a new technology that can help to discover and quantify biodiversity by addressing some of the limitations of conventional surveys. This study aimed to evaluate the biodiversity and composition of benthic species in the Lower Ciliwung River, Jakarta, Indonesia. The investigation was conducted from upstream to downstream of the river at the three sites during the dry season (July 2022). The DNA read sequences were used to examine the composition, relative abundance, and diversity of the samples. In this study, 1,492,975 initial reads were filtered down to 1,265,307 reads belonging to 27 species of benthic organisms. The taxa identified from the eDNA samples revealed that the most frequently detected species belonged to the family Siboglinidae, order Sabellida, and class Polychaeta. The composition of benthic species discovered in the eDNA water samples varied substantially (p ≤ 0.05). Osedax sp. (class Polychaeta) was the most prevalent species across all locations. The diversity index (H) ranged from low to moderate. eDNA offers potential advantages, but is hampered by DNA degradation, primer sensitivity, and the inability to distinguish between dead and living organisms.
Research on The Source Parameters and Scaling Relations of Earthquakes in Weihe Basin and Its Adjacent Area

By using the data recorded in Shaanxi seismic network, seismic source parameters were determined through spectrum analyzing basing on Brune’s source model for 125 small to moderate earthquakes (1.1 ≤ ML ≤ 4.8) from 1997 to 2016 in Weihe basin and its adjacent area. Seismic radiated energies were also obtained through integral of observed velocity spectra. The relations between stress drop, scaled energy E s / M 0 and Zúñiga parameter ε with seismic moment are analyzed. The results show that the earthquakes are with low stress drop in this area, the mean value is 0.16 MPa. More than 90% of the events in the region observed the ε value is less than 1. The low stress drop and low ε value indicate that earthquakes in this area can be explained by fractional stress drop mechanism or low effective stress model. These may be the result of mature fault activity, however, it cannot be ruled out effect of underground fluid. The scaled energy of earthquakes (1.3 ≤ MW ≤ 3.6) in this area is less than that of larger earthquakes (3.6 ≤ MW ≤ 6.0) in other areas. The earthquakes in this area are fairly small, so the heat energy generated in the rupture process is small, which is not enough to produce melting along the fault plane. With large dynamic friction force, it is not easy to produce rapid brittle rupture, resulting in low scalsed energy.