Miracle-dz/UniFAR-FTUs huggingface dataset:
An architecture as a code framework to manage documentation of IT projects

PurposeIn the present article, the authors tackle the problem of IT documentation, which plays an important role in information technology (IT) project management.Design/methodology/approachThey provide a simple tool based on five complementary views, which should be detailed by the project team using a classic source code management platform.FindingsThe proposed tool is open source and may be reused by any IT team in various project contexts and heterogeneous development methods.Originality/valueThis research provides an operational framework, which facilitates IT project management and documentation. The framework is open source and may be easily downloaded by any other IT team.
Bidding behavior in auctions versus posted prices: comparisons of mean and marginal effects

Economic experiments have been widely used to elicit individuals' evaluation for various commodities. Common elicitation methods include auction and posted price mechanisms. A field experiment is designed to compare willingness-to-pay (WTP) estimates between these two mechanisms. Despite both of these formats being theoretically incentive compatible and demand revealing, results from 115 adult consumers indicate that WTP estimates obtained from an auction are 32–39 percent smaller than those from a posted price mechanism. A comparison in statistical significance shows that auctions require a smaller sample size than posted price mechanisms in order to detect the same preference change. Nevertheless, the signs of marginal effects for different product characteristics are consistent in both mechanisms.
Managing Herder-Community-Based Tourism: An Institutional Framework for an Integrated Social–Ecological System

Improving household livelihoods through tourism, while at the same time achieving the goals of conservation, remains a challenge in high-value nature areas around the world. This paper studies a herder-community-based tourism system in Mongolia in light of these challenges. The social–ecological system (SES) framework was used as a conceptual foundation. The generic SES framework was adapted to the case of the herder-community-based tourism system. The adapted framework was then used to assess the economic, ecological, and social objectives of the herder-community-based tourism system characterised by natural resources and cultural landscapes. Primary data collection included interviews with key informants in the tourism sector: tourism researchers, representatives of donor projects, managers of tour operators, and guides. Based on their responses, the study site was selected in the buffer zone of the Hustai National Park, which is a protected area. Respondents in the second stage of interviews were herders who participate in herder-based tourism and who live in the vicinity of the protected area. Results show that the SES framework is able to diagnose the sustainability of the herder-community-tourism system, but sustainability outcomes indicate an imbalance between social, economic, and environmental performance. The herder-community-based tourism system is successful in conserving wildlife and habitats; however, the distribution of revenues gained from tourism shows that only a small and inequitable share reaches the herder community.
Synthesis and characterization of ZnO flower-like structures

Abstract The flower-like ZnO nanorods have been successfully synthesized by a surfactant-assisted hydrothermal method. The nanostructures formed by ZnO nanorods were synthesized and deposited without seeding in glass flask by a hexamethylenetetramine (HMTA)-assisted hydrothermal method at low temperature with NaOH as surfactant and catalyst. The synthesized ZnO flowers comprise of several spike structures that have hexagonal cross section and taper toward the end. The structures are investigated using X-ray diffraction, scanning electron microscope and transmission microscope. The optical properties are studied with UV-VIS, FTIR, and Raman spectroscopy. The process of synthesis is simple and highly reproducible. The synthesized flower-like structures are suitable for use as sensors applications.
Does Debt Financing Affect the Sustainability of Transparent Accounting Information?

With the classification of debt financing into private debt (borrowing) and public debt (bond), this study aims to figure out the relationship between corporate debt financing and transparent accounting information sustainability. Debt financing of a firm was measured as a ratio of private debt to sum of private and public debt while sustainability of transparent accounting information was measured as a matching level. The sample is selected from corporations listed on the stock market in the Republic of Korea, except for the financial industry, from 2011 to 2018. As a result, the ratio of private debt of a firm was found to have a negative relationship with the matching level. It indicates that the ratio of high-private debt of a firm reduces the matching level. These results were found to be consistent even using various methodologies (e.g., Prais–Winsten, and Newey–West). This study confirmed the negative sustainability of transparent accounting information when the ratio of borrowings in corporate financing is high. Our implications that different financing methods can have different effects on the sustainability of corporate transparent accounting information.
Phytochemical analyses of supercritical CO2 extract of Tunisian Psidium guava seeds

This study aimed to determine the fatty acid profile and quantify the bioactive compounds present in tunisian guava seed powder (Psidium guajava L.). The research was conducted on the extracts obtained by supercritical fluid extraction (SFE) and compared with those obtained by maceration and soxhlet. The SFE with carbon dioxide (CO2) and ethanol as co-solvent was applied using two modes of extraction. The SFE(A) direct mode at 20MPa and 333K and the SFE(B) mode in six steps using a pressure and temperature variation (10, 20 MPa / 313, 323, 333K). The SFE give biphasic extracts, ethanolic and lipid fractions. The ethanolic fractions were subjected to the scavenging tests of DPPH and ABTS radicals. The total phenolics content and flavonoids were measured using standard methods and the lipid fractions were analyzed by GC-MS. In SFE the yield was highest at high pressure and temperature (333K/20MPa) (5.9%). The polyphenols and flavonoid contained in ethanolic fractions obtained by SFE (B) were respectively 2.57 mg GAE.g-1DM and 10, 19 mg EQ.g-1 DM. These values were twice higher than that obtained by the direct mode SFE (1.19 and 6.23). The lipid profile of oils showed a predominance of unsaturated fatty acids (86.6 to 88.78%), especially linoleic acid (ω6) and oleic acid (ω9). The extraction method showed rich sample in phenolics compounds and fatty acids. The SFE (B) was efficient, selective and gave various extracts with different chemical compositions depending on temperature and pressure variations.
Does Human Capital Play an Important Role in Farm Size Growth? The Case of Slovenia

The paper investigates the drivers of farm size and farm size growth in Slovenia during the period 2007-2017 using a farm-level Farm Accountancy Data Network dataset within a quantile regression framework. Farm size growth is measured by growth in utilized agricultural area per farm. The findings suggest that growth in farm land size is driven by initial farm land size and policy subsidy support. Contrary to expectations, human capital does not play an important role in either farm land size or farm land size growth according to quantile regressions. These findings from inter-quantile comparative analysis are important for farm-related structural and rural development policy.
System Parameter Based Performance Optimization of Solar PV Systems with Perturbation Based MPPT Algorithms

Maximum power point tracking (MPPT) algorithms are invariably employed to utilize solar photovoltaic (PV) systems effectively. Perturbation based MPPT algorithms are popular due to their simplicity and reasonable efficiency. While novel MPPT algorithms claim increased energy utilization over classic perturbation techniques, their performance is governed by the choice of optimal algorithm parameters. Existing guidelines for parameter optimization are mathematically laborious and are not generic. Hence, this paper aims to provide simple and comprehensive guidelines to ensure optimal performance from the perturbation based MPPT technique. For an illustration of proposed claims, a solar PV fed boost converter is investigated to examine the effect of input capacitor, digital filter cut-off frequency, system time constant and sampling time on implementing a classic Perturb and Observe (P and O) algorithm. The readers will be presented with two simple step tests (to determine the effective system time constant) and proposed guidelines to choose the optimal performance sampling time. Necessary laboratory experiments show that an appropriate choice of sampling time could increase efficiency and ensure system stability. This investigation’s learnings can be easily extended to any power electronics converter, loads and all perturbation-based algorithms used in solar PV systems. The results of appropriate tests on the system’s mathematical model and the laboratory prototype are presented in detail to support this research’s claims.
Preparation of Fiber-enriched Chicken Meat Constructs Using 3D Printing

ABSTRACT Increasing health consciousness among the consumers has raised the demand for customized meat products. Enrichment of chicken meat with dietary fiber is the focus of this study. A composite millet-based flour is employed as the source of dietary fiber that aids in enhancing the printability of chicken meat. Chicken meat and composite flour were taken in the ratio of 2:1 (w/w), and the optimized conditions for printing were established to be with a nozzle movement speed of 500 mm/min using a 0.82 mm diameter nozzle resulting in an extrusion rate of 4.40 mm3/s employing motor speed of 360 rpm and 5 bar extrusion pressure. The optimized 3D-printed sample was found to have a dietary fiber content of 5.36 ± 0.19 g/100 g that contributes to more than 10% of the RDA. Thus, this study demonstrates the 3D printing of meat-based material supply with enriched dietary fiber providing insights for the development of novel customized meat products with enhanced nutritional composition.
Superconducting transport through a vibrating molecule

Nonequilibrium electronic transport through a molecular level weakly coupled to a single coherent phonon/vibration mode has been studied for superconducting leads. The Keldysh Green function formalism is used to compute the current for the entire bias voltage range. In the subgap regime, Multiple Andreev Reflection (MAR) processes accompanied by phonon emission cause rich structure near the onset of MAR channels, including an even-odd parity effect that can be interpreted in terms of an inelastic MAR ladder picture. Thereby we establish a connection between the Keldysh formalism and the Landauer scattering approach for inelastic MAR.
Blended Learning in Rural Primary ESL Classroom: Do or Don’t

The emergence of the Fourth Industrial Revolution (4IR) had led to discussions of the constructive relationship between the integration of technology and teaching and learning to meet society's needs in the innovative era. However, despite the current technology advancement, rural schools' circumstances propelled teachers to shy away from integrating technology in their instruction. Therefore, this paper presented a research to examine primary school teachers' experiences and views on the application of blended learning in their English language instruction using a mixed-method explanatory design. A survey questionnaire was employed to collect data from 86 teachers from schools in the Betong district, while a semi-structured interview was designed and done with five teachers. Data from the questionnaire were analysed descriptively, while the interview was analysed thematically. The results illustrated that teachers lacked exposure and adequate knowledge of blended learning. It was deduced that teachers had mixed reactions towards blended learning, varying based on their experiences. Teachers emphasised that the lack of facilities and technological constraints, time, limited exposure and skills in ICT use, and teacher readiness were the main challenges they encountered. This study may serve as a building block towards the broad dissemination of blended learning among teachers and serious consideration and effective solutions for the problems faced in its adoption, particularly in rural schools.
Preparation and Characterization of Low Molecular Weight Chitosan Nano-particles in Textile Finishing

The dispersion system of chitosan nanoparticles was prepared using chitosan and sodium trypolyphosphate with ionically cross-linking method.This system contained citric acid as crosslinking agent with fabrics or fibers and sodium hypophosphite as catalyst,and can be used to functional finishing of textiles directly.The effects of the concentration of STTP,CA,Tween-80,and temperature and pH value on the diameter distribution of the chitosan nano-particles were discussed.The measurement results showed that the average diameter of the chitosan nano-particles in the prepared dispersion system was less than 20nm.The result of FT-IR analysis demonstrated that the phosphate was linked in-NH of chitosan,namely the chitosan was prepared effectly.
An Improved Adaptive Clone Genetic Algorithm for Task Allocation Optimization in ITWSNs

Research on intelligent transportation wireless sensor networks (ITWSNs) plays a very important role in an intelligent transportation system. ITWSNs deploy high-yield and low-energy-consumption traffic remote sensing sensor nodes with complex traffic parameter coordination on both sides of the road and use the self-organizing capabilities of each node to automatically establish the entire network. In the large-scale self-organization process, the importance of tasks undertaken by each node is different. It is not difficult to prove that the task allocation of traffic remote sensing sensors is an NP-hard problem, and an efficient task allocation strategy is necessary for the ITWSNs. This paper proposes an improved adaptive clone genetic algorithm (IACGA) to solve the problem of task allocation in ITWSNs. The algorithm uses a clonal expansion operator to speed up the convergence rate and uses an adaptive operator to improve the global search capability. To verify the performance of the IACGA for task allocation optimization in ITWSNs, the algorithm is compared with the elite genetic algorithm (EGA), the simulated annealing (SA), and the shuffled frog leaping algorithm (SFLA). The simulation results show that the execution performance of the IACGA is higher than EGA, SA, and SFLA. Moreover, the convergence speed of the IACGA is faster. In addition, the revenue of ITWSNs using IACGA is higher than those of EGA, SA, and SFLA. Therefore, the proposed algorithm can effectively improve the revenue of the entire ITWSN system.
Modelling and optimisation of hardness in citrate stabilised electroless nickel boron (ENi-B) coatings using back propagation neural network – Box Behnken design and simulated annealing – genetic algorithm

ABSTRACT In this work, a novel citrate stabilised electroless bath was developed and the process parameters (concentrations of nickel, reducing agent, and stabiliser) were optimised to achieve the maximum hardness in the ENi-B deposit on 7075-T6 aluminium alloy, using the back-propagation neural network (BPNN), Box–Behnken design (BBD), simulated annealing (SA) and genetic algorithm (GA). The effect of independent variables on dependent variable was modelled using the BPNN and BBD. The models were assessed for their significance using the coefficient of determination (R2) and mean squared error (MSE). The MSE and R2 of 34.18 and 0.9852 were obtained for BPNN model against 20.48 and 0.9911 for BBD, which proved that the BBD fits well to the experimental data. The optimum nickel ion, reducing agent and stabiliser concentrations of 29.86, 0.77 and 30.92 g L−1 were obtained from BBD for the maximum hardness of 592 HV. The local optimum values obtained from BBD were compared with global optimisation techniques, SA and GA, and the values were validated through experiments carried out in triplicate. The maximum hardness from local and global optimisation techniques was identical, with negligible change in the values of optimised process parameters. X-ray diffraction and scanning electron microscopy methods were used to examine the elemental composition and surface morphology, respectively, before and after heat treatment.
Conservation status assessment of banana crop wild relatives using species distribution modelling

Crop wild relatives (CWR) are an essential source of genetic material for the improvement of certain traits in related crop species. Despite their importance, increasing public, scientific and political support, large gaps exist in the amount of genetic material collected and conserved of many CWR. Here, we construct a dataset on the distribution of wild banana species (Musa spp.) and assess their risk and conservation status. We deal with the following questions: (a) What areas are potentially suitable for wild banana species? (b) How much of the wild banana diversity is currently at risk or insufficiently conserved ex and in situ?
Scaling effects of a eutrophic river plume on organic carbon consumption

The amount of fluvial input has important impacts on shelf regions. To understand how the magnitude of fluvial discharge affects plume ecosystems, particularly organic carbon consumption, data over 10 consecutive summers (2003–2012) were examined in the Changjiang River plume of the East China Sea. The area of the Changjiang River plume ranged from approximately 4.90 × 103 km2 to 94.83 × 103 km2 and varied in proportion to the freshwater discharge rate. Plankton community respiration was at the medium to high end of the values reported for coastal regions. Total organic carbon consumption over the Changjiang River plume was positively correlated with the Changjiang freshwater discharge. This scaling relationship might be associated with river flows delivering allochthonous organic carbon and dissolved inorganic nutrients into the East China Sea. However, plankton community respiration (per m3 basis) decreased as the area of the Changjiang River plume increased; this rate appeared to have been influenced by particulate organic carbon (POC) levels and/or total plankton biomass. Even though POC was dominated by phytoplankton biomass allometrically, bacteria contributed more to plankton community respiration, possibly signifying that these bacteria were more reliant on plankton‐derived organic matter. Even with high phytoplankton biomass and primary productivity, this plume ecosystem was heterotrophic, albeit close to a state of carbon balance. To support high organic carbon consumption, in addition to allochthonous sources from fluvial runoff, a large amount of organic matter might have been autochthonous and derived from plankton in the Changjiang River plume.
Impact of social networking service usage on self-learning activity and physical activity in Japanese undergraduate physical therapy students: A cross-sectional study

Objective: The use of social-networking services (SNSs) is increasing among young Japanese people. Previous studies showed that psychological stress via SNS has increased in Japanese undergraduate students, including physical therapy students. However, little is known about the impact of SNS usage on self-learning activity (self-LA) and physical activity (PA) in Japanese undergraduate physical therapy students. In this study, we aimed at clarifying the association between them using a single-university cross-sectional study. Methods: A total of 113 secondto fourth-year undergraduate physical therapy students (aged 19–22 years) volunteered for this study. Using selfadministered questionnaires, the participants answered questions regarding SNS usage, such as the purpose of SNS usage (e.g., communicating with friends, selfpromotion, collecting information, building friendship), self-LA, and PA, including vigorous-intensity PA (VPA), moderate-intensity PA (MPA), walking, moderateto vigorous-intensity PA (MVPA), and sitting. Results: Data of 84 participants (65 men and 19 women) were analyzed. Stepwise multiple regression analysis after adjusting for gender showed that self-LA did not change by other variables, VPA decreased in the upper year, MPA was lower in the participants who had the purpose of “self-promotion” through SNS than in those who did not, walking and MVPA decreased in the upper year and were higher in the participants who had the purpose of “building friendship” through SNS than in those who did not. There was no association between sitting and SNS usage. Conclusion: We found that SNS usage had no impact on self-LA; however, it had both a negative and positive impact on PA among participants. Proper assessment and management of SNS usage may be important to increase PA among Japanese undergraduate physical therapy students. Submitted Sep. 16. 2020 Accepted Oct. 25. 2020 *Correspondence Hiroto Honda, PhD, PT Department of Physical Therapy, Faculty of Health Sciences, Aino University E-mail: h-honda@pt-u.aino. ac.jp
Organizing sports matches with a hybrid monkey search algorithm

This academic piece of the paper illustrates an approach of organizing sports matches to be as a tool of sports schedule maker via a proposed hybrid Monkey search algorithm by doubles elimination tournament. Input are a set of teams represented by monkeys. It states that the natural behavior of monkeys and its climbing to obtain (solution) through uphill (climbing), watch-jumping, and somersault process. The parameters in the climb were represented by whether or not sports team won. The distribution of the teams, whether in the upper or the lower half, represented in the watch-jumping by mathematical equations, in addition to representing the variables in somersault process. The consequences behind the suggested algorithm used have tackled steps to reach an optimal schedule for a variety of teams for the same championship. The team cannot play more than two consecutive matches with the condition of starting with a random population of feasible solutions. The performance of the presented algorithm was very well through providing a flexible and easy organization of sports matches without using classic or manual routine. Furthermore, the search space reduced so that can give a guarantee to achieve a globally optimum solution. The software platform was MATLAB m-files.