Miracle-dz/UniFAR-FTUs huggingface dataset:
Co(II)-Chelated Polyimines as Oxygen Reduction Reaction Catalysts in Anion Exchange Membrane Fuel Cells

In this paper, a cobalt (Co)-chelated polynaphthalene imine (Co-PNIM) was calcined to become an oxygen reduction reaction (ORR) electrocatalyst (Co-N-C) as the cathode catalyst (CC) of an anion exchange membrane fuel cell (AEMFC). The X-ray diffraction pattern of CoNC-1000A900 illustrated that the carbon matrix develops clear C(002) and Co(111) planes after calcination, which was confirmed using high-resolution TEM pictures. Co-N-Cs also demonstrated a significant ORR peak at 0.8 V in a C–V (current vs. voltage) curve and produced an extremely limited reduction current density (5.46 mA cm−2) comparable to commercial Pt/C catalysts (5.26 mA cm−2). The measured halfway potential of Co-N-C (0.82 V) was even higher than that of Pt/C (0.81 V). The maximum power density (Pmax) of the AEM single cell upon applying Co-N-C as the CC was 243 mW cm−2, only slightly lower than that of Pt/C (280 mW cm−2). The Tafel slope of CoNC-1000A900 (33.3 mV dec−1) was lower than that of Pt/C (43.3 mV dec−1). The limited reduction current density only decayed by 7.9% for CoNC-1000A900, compared to 22.7% for Pt/C, after 10,000 redox cycles.
Knowledge of Sexually Transmitted Infections among Female Sex Workers in an African Rural Community: The Impact of Community-based Interventions

Introduction It is estimated that over a million Sexually Transmitted Infections (STIs) are acquired worldwide daily [1,2]. In addition, STIs such as chlamydia, gonorrhoea, syphilis, and trichomoniasis account for one of every four of the total 376,000,000 new infections annually [1,2]. Therefore, STIs have been classified as among the top infectious diseases, and it is one of the ten leading diseases for which Nigerians seek medical attention [3]. The significant ways STIs spread are through vaginal, oral, and anal sex [4]. Sex workers have been among the key populations with a high prevalence of HIV since the beginning of the epidemic over three decades ago [5]; this is because sex workers are widely known for having sex with non-steady partners without condoms [6]. This Received: 17 June 2020
Using interpretive structural modelling and quality cost model to solve project completion delay in shipyard case study in PT X

Purpose – This research proposes an alternative method to solve completion delay issue and optimized the strategy using ISM technical method and Quality Cost Model application. Design/methodology/approach – Data was acquired from 120 questions from company key persons that involved in project for last 5 years. The instruments processed using ISM analysis to measure the relationship among causes, then using Quality Cost Model to solve. Findings – This research shows that factors of late payment from client, delays in bank credit processing, bad weather, and design changes by owners are the root causes of delays. Further analysis using the Theory of Constraint (TOC) shows that financial constraint issues influence the decreased throughput and increase operating cost. Further management use five sequential steps to improve the management and P-A-F models as one of strategic cost management tools applied to the root causes to determine the optimum cost strategy to solve the problem. Research limitations/implications – This research was conducted using a case study method, and the conclusion related to problem and root cause may not be applied totally to other companies, but the framework may be applicable. Future research can investigate other issue using TOC framework, combine TOC with other models to conduct root cause analysis, and the COQ model implementation in shipyard management. Practical implications – This research demonstrates that management can use Interpretative Structural Modelling (ISM) analysis to determine the root cause, then analyse and overcome the issues using TOC framework. COQ model approach to sharpening the decision, and prioritize the resources allocation. Originality/value – This research combine ISM, TOC, and PAF Quality Cost Model approach for decision making which can be a management tool in strategic cost management.
A Survey on Matrix Converter fed Direct Torque Control Techniques for AC Machines

Direct Torque Control (DTC), a superior technique, which controls the stator flux and electromagnetic torque of an electrical machine. In spite of its numerous advantages, it possesses certain shortcomings like torque ripples, flux ripples, variable switching frequency and problems during the startup conditions. Recently, Matrix Converters (MC) have emerged as an efficient alternate for the Voltage Source Inverter employed in the DTC technique, which is capable of providing flexible and dynamic control over the torque and flux ripples associated in a machine. In this paper, a review on different control techniques associated in implementing the Matrix Converters for DTC method are categorized as follows: Subdivision of MC Voltage Vector method, SVM (Space Vector Modulation) based MC-DTC method, MC-DTC Duty Cycle Control, Employing Rotational Vectors of MC and Model Predictive Torque Control method. The pros and cons of each matrix converter fed direct torque control methods are presented by analyzing the experimental results from the literature.
Customer satisfaction as a mediator between service quality and customer loyalty: a case study of Bank Central Asia

Purpose – This study aims to examine the effect of service quality on customer satisfaction and the impact of customer satisfaction on customer loyalty among banking service users in Indonesia. Design/methodology/approach – The population of this study consists of customers aged 18 years and above who use the mobile banking service provided by Bank Central Asia, one of the largest banking companies in Indonesia in terms of market capitalization. Purposive sampling was used to obtain a sample of 194 respondents who met the research criteria. Findings – The results of this study indicate that the reliability, customer service and support, and responsiveness variables have a significant positive influence on customer satisfaction, while the privacy and security variable was found to have no significant impact on customer satisfaction. Additionally, customer satisfaction was found to have a significant positive effect on customer loyalty. Research limitations/implications – The data for this study primarily came from East Java, Indonesia, highlighting the need for future research using longitudinal data to investigate the causal relationships between variables. Practical implications – The findings of this study can provide valuable insights into the influence of electronic service quality on customer loyalty in the Indonesian banking industry. It offers banks a deeper understanding of consumer behavior and the crucial satisfaction factors that drive long-term decision-making in banking services. Originality/value – This paper offers novelty by addressing the digitalization trend and competitive challenges faced by banking service providers in achieving customer satisfaction within the digital economic ecosystem. It specifically focuses on customers of Bank Central Asia, a leading banking company in Indonesia. The value of this paper lies in its insights for banking professionals, researchers, and policymakers in navigating the digital landscape and enhancing customer-centric digital banking services.
Isolation and Characterization of Xylanase from a Novel Strain, Penicillium menonorum SP10

Abstract Xylanase has been applied in various sectors, such as biomass conversion, paper, pulp, textiles, and pharmaceutical industries. This study aimed to isolate and screen potential xylanase-producing fungi from the soil of Suphan Buri Province, Thailand. Fifteen fungi were isolated, and their xylanase activities were tested by the qualitative method. The result showed that isolate SP3, SP10 and SP15 gave high xylanase activity with potency index (PI) of 2.32, 2.01 and 1.82, respectively. These fungi were selected for the xylanase quantitative test, isolate SP10 performed the highest xylanase activity with 0.535 U/mL. Through molecular methods using the β-tubulin gene, isolate SP10 was identified as Penicillium menonorum. The xylanase characteristics from P. menonorum SP10 were determined, including the xylanase isoforms and the optimum pH and temperature. The xylanase isoforms on SDS-PAGE indicated that P. menonorum SP10 produced two xylanases (45 and 54 kDa). Moreover, its xylanase worked optimally at pH 6 and 55 °C while reaching 61% activity at 65 °C. These results proposed P. menonorum SP10 as a good candidate for industrial uses, especially in poultry feed and pulp industries, to improve yield and economic efficiency under slightly acidic and high-temperature conditions.
Land Use Characteristics for Sustainable Urban Mobility

This paper describes how important changes on urban features strongly modified the quantity and the quality of mobility systems over the last years. The continuous spread of residences and activities have increased the length of trips and the use of private transport; and the usual mobility habits have been changed by more complex behaviors (trip chaining). The automobile is often considered the only transport mode and the use of transit became more and more unused with strong impacts on environment and sustainability. These changes are mainly due to the result of the evolution of urban areas according to the different stages of development of the transport modes technology: the first stage is known as “urban concentration” with small urban areas characterized by high density; the second stage is the “suburbanization” in which the city center cannot accept further demand of residences and activities and so conurbations start to grow up; the last stage is based on the urban decentralization. Previous research describes this trend as the transfer from “pedestrian cities" to the modern “automobile city". But the effects of the “automobile city” on a spatial, temporal and environmental level are quick to follow and the resulting phenomena of congestion can't find a solution by exclusively recurring to an increase in the infrastructure supply of such transport mode. The construction of a sustainable urban development needs the creation of a sustainable mobility and if a transit system could be the solution to reach a sustainable mobility, the objective is to make it competitive by comparison with the private transport. This paper is structured in five sections including the introduction; in the second section there is an analysis both of the literature and of remarkable examples of sustainable mobility in the world; the third section shows the impacts on the demand modal split using different elements and criteria to improve the transit system for the case of the city of Rome while the fourth section introduces a detailed analysis about roman urban structure to better understand the results of the previous described section; the fifth and last section contains observations and final considerations about the importance of the interaction between land use policy and transportation planning.
Optimal Parking Slots Reservation and Allocation Problem for Periodic Parking Platforms with Preference Constraints

Various solutions, such as parking reservation systems, have been proposed to alleviate the difficulty in finding parking slots. In such systems, parking requests are submitted in advance by drivers, and the systems will reserve appropriate parking spots for drivers if their requests are accepted. However, the parking slots may be allocated unreasonably, which may lead to a waste of space and time resources. In addition, there is a game relationship between operator’s profit (OP) and users’ benefits (UB), which may affect the sustainable development of the system, if balanced improperly. Given the drivers’ arrival and departure time and their parking preference, the paper proposes a periodic reservation and allocation mode (PRAM) and establishes a dual-objective binary integer linear model to solve the reservation and allocation problem. The model aims to maximize the comprehensive benefits of the operator and users and to take full advantage of parking resources. We proposed a TOPSIS-SA algorithm (Technique for Order Preference by Similarity to an Ideal Solution and Simulated Annealing algorithm) to solve our model. Numerical experiments show that our model performs better than the baseline models on all performance metrics such as total operating profit, users’ average walking distance, acceptance rate, and utilization of parking slots.
Determinants and Stratification of Microvascular Complications of Type 2 Diabetes Mellitus

Background Diabetes mellitus (DM) is a prevalent metabolic disorder characterized by high blood sugar levels. It is classified into type 1 (T1DM) and type 2 (T2DM), which have different mechanisms and complications. The global prevalence of diabetes, particularly T2DM, has increased significantly in recent decades, leading to a need for standardized data collection of macrovascular and microvascular complications to track disease progression and guide treatment options. This study aims to assess and correlate the prevalence and severity of microvascular complications in patients with T2DM. Methodology This observational, cross-sectional study was conducted at Poonam Multispeciality Hospital in Ahmedabad, India. A total of 4,123 diabetic patients admitted to the hospital were included. Information on sociodemographics and medical history was collected using standardized forms. Fundus photography and fluorescein angiography were performed to assess diabetic retinopathy, and estimated glomerular filtration rate and albumin-to-creatinine ratio were measured to evaluate renal function. Neurological examinations were conducted to score diabetic neuropathy. Chi-square tests were used to determine associations between medical history with diabetic retinopathy and nephropathy, and t-tests were used to compare diabetic neuropathy scores. Kendall’s Tau correlation was used to determine correlations between diabetic retinopathy and nephropathy. P-values <0.05 were considered statistically significant. Results The overall prevalence of diabetic retinopathy, nephropathy, and neuropathy was 37.5%. Of the patients included, 47.9% had diabetic nephropathy and 28.9% had diabetic neuropathy. A significant association was observed between the severity of diabetic retinopathy and age, body mass index, duration of diabetes, and hemoglobin A1c (HbA1C) levels. Similarly, significant associations were found between these factors and the severity of diabetic nephropathy. Unpaired t-tests revealed significant differences in diabetic neuropathy examination scores based on the duration of diabetes and Hba1C levels. Moreover, correlation analysis indicated a low, positive correlation between diabetic retinopathy and diabetic nephropathy. Conclusions This study provides insights into the prevalence, severity, and associations of microvascular complications in patients with T2DM, contributing to the understanding and management of these conditions. Additionally, the research revealed a direct association between diabetic retinopathy and different stages of chronic kidney disease determined by the Kidney Disease Improving Global Outcome guidelines.
Bibliometrics analysis of social media and entrepreneurship research using Scopus database

This paper analyzes the changing trend of international cooperation and research topics on social media and entrepreneurship in the past decade. Through the bibliometric analysis of 569 academic publications selected from Scopus from 2007 to 2020, it can be found that the importance of Asian countries in social media and entrepreneurship research is increasing. Except for several countries with the most extensive international cooperation, the international cooperation of other countries is mainly limited to the continent to which the country belongs. The change of research objects in this field is accompanied by the emergence of new social media platforms. It is worth noting that combining research topics with other industries has become a trend. This paper reveals the development trend of social media and entrepreneurship research through keyword co-occurrence analysis and cluster analysis and provides some suggestions for future research.
Doc Martin and film tourism: the creation of destination image.

Th is study investigates the relationship between fi lm-induced tourism and the concept of destination image via a substantial primary data collection exercise, followed by content analysis of television episodes. Port Isaac, on the north coast of Cornwall, in the west of England, is the setting for the popular ITV television series Doc Martin, starring Martin Clunes and Caroline Catz. Television can enhance the attractiveness of an area, especially when building on images of small-scale fi shing and quaint customs. Findings showed a visitor profi le fairly consistent with those of previous academic studies whilst frequency tests indicated that many respondents had clear destination images of Port Isaac prior to their visit. Consequently, content analysis of Doc Martin episodes was further undertaken; the results of which confi rm there are links between images depicted in the television series and those pertaining to Port Isaac. Key features of the village are apparent in both forms of research undertaken. With primetime screening on national television, the series acts as a display window for the village and surrounding area. Th e research indicates the series acted as a key infl uence on intention to visit, not surprisingly, for British tourists. Almost 76 per cent of respondents associate Port Isaac with a specifi c image. Th e study is unusual, in fi lm tourism research, in using two distinct forms of data to contrast the situation.
Crossing two niches of agroecological innovation: the case of organic farming and conservation agriculture

Among the different paradigms addressing the issue of the transition of agri-food systems, we situate our study in the agroecological paradigm, considering that agri-food issue includes employment, food governance, environment and consumption (Stassart et al. 2012). Within this framework, the present communication discusses the processes of “ecologisation” of agrifood systems through the analysis of the interactions between two agroecological niches: organic farming and conservation agriculture. Organic farming is a well-known model that prohibits the use of chemicals, that is subjected to public regulation and clearly identified on the market. Conservation agriculture aims to maintain soil fertility and prevent soil erosion through the application of minimal soil disturbance (reduced tillage), permanent soil cover and crop rotations. This model is recognized by the FAO but has less visibility in society than organic farming. In previous works, we mobilized the multi-level perspective of the Sustainability Transition Studies (Geels and Schot 2007) and developed the metaphor of the insularization to characterize the specificities of the transition process to conservation agriculture. The present communication uses this theoretical framework to analyze several farmers' transition pathways that articulate organic agriculture and conservation agriculture. The analysis will consider how these two models converge on some aspects while simultaneously presenting several technical, organizational and cognitive incompatibilities. It will aim to understand how farmers connect or disconnect these two models in different ways. Besides, this investigation seeks to provide a better comprehension of the crossing of different niches of innovation, the challenges and obstacles it brings about and the potential in term of sustainability.
Narrowing Domain Gaps With Bridging Samples for Generalized Face Forgery Detection

Face forgery technology has developed rapidly, causing severe security issues in society. Recently, with the continuous emergence of forgery techniques and types, most forensics methods suffer from the generalization problem. In particular, it is difficult for existing generalized methods to detect fake faces with unseen fake types. The reason is that the distribution gaps among cross-forgery types are too large. In this article, we propose a novel generalized framework to narrow large gaps based on bridging cross-domain alignment to solve this problem. Specifically, our framework consists of three key steps: preventing, bridging and aligning distribution gaps. Firstly, in the feature mining stage, taking advantage of the ability of Instance Normalization (IN) to better tolerate domain gaps, we design Adaptive Batch and Instance Normalization (ABIN) to replace the commonly used BN to adaptively extract features to preliminarily prevent domain gaps. Secondly, we propose to generate bridging samples distributed among the inter-domains to fill large gaps based on progressive linear interpolation operation. Finally, with the help of bridging samples, the cross-domain alignment is performed to better narrow distribution gaps to refine data distribution, which helps to learn a more generalized framework. Extensive experiments show that our proposed framework achieves the state-of-the-art generalized performance.
Linking Leadership Style to Employee Performance with Job Satisfaction as a Mediation

The problem of this research is whether the Leadership Style affects employee performance through job satisfaction. This study aims to explain the effect of leader-member exchange (LMX) on employee performance by mediating job satisfaction. This study uses one type of explanation to examine the effect of LMX on employee performance and mediates job satisfaction. The sampling technique used in this study was saturated sampling, where the total population studied was 108 respondents. This research tool is a questionnaire, after which the information obtained is processed with path analysis. The results of this study indicate that LMX has a significant effect on employee performance, and job satisfaction has a significant effect on employee performance. The results of this study also indicate that job satisfaction can mediate the effect of LMX on employee performance