Miracle-dz/UniFAR-FTUs huggingface dataset:
Engaging Students in a Genre-Based Digital Storytelling Project

Engaging and motivating students are two of the critical factors in a successful learning process. Therefore, teachers are required to seek suitable strategies for achieving learning outcomes. The development of technology in this digital era brings new opportunities for teachers and learners. Technology can be used to support the teaching learning process, particularly for engaging the students in the learning phases. This classroom action research is conducted to find out whether the Digital Storytelling Project helps students to be engaged in the learning process. The participants of the research were tenth-grade senior high school students. The data were collected by using observation, interview, document analysis, peer discussion, and questionnaire. The qualitative content analysis was used for evaluating the obtained data. The finding showed that the students were actively engaged when a digital storytelling project was implemented, especially in selecting digital images and jointly generating ideas of the story. The findings from the classroom observation and interviews also exemplifies the potential use of digital storytelling in helping the students develop ideas and enhance their content knowledge and literacy. Hence, the finding of this research above can be a foundation to claim that the implementation of a digital storytelling project is useful to engage the students in the learning process.
Socially Responsible Customers and Intangible Investment

Intangible capital has become an increasingly important factor for production in the knowledge economy. We use a large sample of U.S. firms and their major customers to test whether the presence of socially responsible customers can have an influence on suppliers’ intangible capital investment decisions. Our findings suggest that the social performance of major customers has a positive impact on the suppliers’ intangible investment, but the effect on their physical investment is marginal. When suppliers gain a new major customer with better social performance than their existing customers, they invest in more intangible assets. The results are robust when controlling for industry and year fixed effects, customer-base concentration, and the firm characteristics of both suppliers and customers, including Tobin’s q, total assets, financial leverage, sales growth rate, and profitability. Our findings are consistent with the implicit contract theory, which suggests that customers’ social performance affects how trustworthy their implicit commitments are perceived to be by their suppliers and thus has an impact on the suppliers’ intangible investment.
Testers’ Experiences of Tools and Automation

Software testing is vital, expensive, time-consuming yet a necessary part of software development. Testers perform repeated actions during testing, where automation and tools could reduce costs, timescale and human error. However, challenges to tools adoption have been identified in academic research and industry, which are blockers to success with automation. A survey of over 180 testing practitioners, to collect testers’ experiences with tools and understand their tools challenges, uncovered rich stories of emotional stress, as well as evidence of ways in which usability and HCI techniques are misapplied in test tool design. This leads to suggestions for future research.
Earnings Management in Companies that Missed and Beat Analyst Consensus

The aim of this study is to analyze the differences of earnings management between companies that missed and beat analyst consensus. Nonfinancial companies listed in the Indonesia Stock Exchange in 2017–2018 and have analyst consensus data available are used as the research sample, which consist of 28 companies observed for four quarters. The final sample in the analysis consists of 94 observations (firm-quarters). The independent sample t-test is used for data analysis. Results show that companies that missed analyst consensus have greater discretionary accrual than the group of companies that beat analyst consensus. Therefore, differences in earnings management between companies that missed and beat analyst consensus exist. Companies that missed analyst consensus are more inclined to conduct earnings management in the following period. This finding opens the possibility to develop a new hypothesis in the positive accounting research framework.
Implementasi Penggunaan Dana Desa Tahun Anggaran 2019 Berdasarkan Permendes Nomor 16 Tahun 2018 Tentang Priorotas Penggunaan Dana Desa Tahun 2019 Di Desa Kanamit Barat Kecamatan Maliku Kabupaten Pulang Pisau

Penelitian ini mengangkat judul "Implementasi Penggunaan Dana Desa untuk Tahun Anggaran 2019 Berdasarkan Peraturan Menteri Desa No. 16 Tahun 2018 Tentang Prioritas Penggunaan Dana Desa pada 2019 Di Desa Kanamit Barat, Distrik Maliku, Kabupaten Pulang Pisau"Secara umum, penelitian ini dimaksudkan untuk mengetahui apa saja realisasi penggunaan dana desa pada tahun 2019 dengan menggunakan penelitian dasar Peraturan Menteri Desa Nomor 16 Tahun 2018 Tentang Prioritas Penggunaan Dana Desa pada tahun 2019 dengan menggunakan analisis kualitatif yaitu metode pengumpulan bahan berupa observasi, dokumentasi kemudian wawancara dengan informan atau informan secara verbal.Berdasarkan bahan yang diolah dari hasil penelitian ditemukan dua kesimpulan, Yang pertama, berdasarkan Wawancara pertama dan Dokumentasi Penggunaan Dana Desa untuk Tahun Anggaran 2019 Di Desa Kanamit Barat, Kabupaten Maliku, Kabupaten Pulang Pisau untuk Desa Sektor Pembangunan, sebagian besar telah memenuhi ketentuan Peraturan Menteri Desa Nomor 16 Tahun 2018 Tentang Prioritas Penggunaan Dana Desa pada 2019 dan ada satu yang kurang tepat karena tidak menggunakan pola intensif tunai seperti Perogram. program pengembangan BTS Menara Mini Yang kedua, Penggunaan Dana Desa untuk Tahun Anggaran 2019 Di Desa Kanamit Barat, Kabupaten Maliku, Kabupaten Pulang Pisau untuk Bidang Pemberdayaan Masyarakat semuanya sesuai dengan ketentuan Peraturan Menteri Desa 16 tahun. 2018 Tentang Prioritas Penggunaan Dana Desa pada 2019.
Recovering Nitrogen as a Solid without Chemical Dosing: Bio-Electroconcentration for Recovery of Nutrients from Urine

This letter presents the proof of concept of a novel bio-electroconcentration system (BEC), a hybrid microbial electrolysis/electrodialysis cell specifically designed to recover nitrogen (as ammonia NH4-N), phosphorus (as phosphate PO4-P), and potassium (as K+) from urine. Using a synthetic urine medium, the BECs could reach high current densities of up to 37.6 A m–2 at Ewe values of 0.0 versus the standard hydrogen electrode (SHE) and 50 A m–2 at 0.2 V versus SHE, which in turn drove the removal and recovery of N, P, and K at rates of 7.18 kg of NH4-N m–3 day–1, 0.52 kg of PO4-P m–3 day–1, and 1.62 kg of K+ m–3 day–1 into a concentrate stream (containing 1.87 M NH4-N, 0.29 M PO4-P, and 0.18 M K+). Finally, this communication demonstrates the recovery of a nitrogen-rich solid from the synthetic urine (in the form of pure NH4HCO3 crystals with 17% N content) without any chemical additions via the flash-cooling of the produced nutrient-rich concentrate to 4 °C. These two new products may help facilitate the.
Atmospheric-Pressure DBD Cold Plasma for Preparation of High Active Au/P25 Catalysts for Low-Temperature CO Oxidation＊

Cold plasma generated by dielectric barrier discharge（DBD） at atmospheric pressure was adopted for preparation of commercial TiO2 Degussa P25 supported Au catalysts（Au/P25-P） with the assistance of the deposition-precipitation procedure.The influences of the plasma reduction time and calcination on the performance of the Au/P25-P catalysts were investigated.CO oxidation was performed to investigate the catalytic activity of the Au/P25 catalysts.The results show that DBD cold plasma for the fabrication of Au/P25-P catalysts is a fast process,and Au/P25-P（4 min） exhibited the highest CO oxidation activity due to the complete reduction of Au compounds and less consumption of oxygen vacancies.In order to form more oxygen vacancies active species,Au/P25-P was calcined to obtain Au/P25-PC catalysts.Interestingly,Au/P25-PC exhibited the highest activity for CO oxidation among the Au/P25 samples.The results of transmission electron microscopy（TEM） indicated that the smaller size and high distribution of Au nanoparticles are the mean reasons for a high performance of Au/P25-PC.Atmosphericpressure DBD cold plasma was proved to be of great efficiency in preparing high performance supported Au catalysts.
Impact of Performance Appraisal on Organizational Performance of Service Organizations in Nepal

In the current business world, humans are considered as the success factor for any business. For this reason, reputed business firms are trying to hire the best human resource that is available in the market so that the firms can maintain its image and goodwill in the future as well. This study is based on the impact of performance appraisal on organizational performance of service sector institutions consisting of hospitals of Nepal. It is found that the performance appraisal systems have positive correlation with organizational performance. Regression coefficients of performance appraisal positively contribute to organizational performance explained by employee commitment, quality work life and work flexibility. It means that if Nepalese service sector invests a significant amount and effort for development of proper performance appraisal system, it can improve organizational performance.
Dependence of Sum Frequency Generation (SFG) Spectral Features on the Mesoscale Arrangement of SFG-Active Crystalline Domains Interspersed in SFG-Inactive Matrix: A Case Study with Cellulose in Uniaxially Aligned Control Samples and Alkali-Treated Secondary Cell Walls of Plants

Vibrational sum frequency generation (SFG) spectroscopy can selectively detect not only molecules at two-dimensional (2D) interfaces but also noncentrosymmetric domains interspersed in amorphous three-dimensional (3D) matrixes. However, the SFG analysis of 3D systems is more complicated than 2D systems because more variables are involved. One such variable is the distance between SFG-active domains in SFG-inactive matrixes. In this study, we fabricated control samples in which SFG-active cellulose crystals were uniaxially aligned in an amorphous matrix. Assuming uniform separation distances between cellulose crystals, the relative intensities of alkyl (CH) and hydroxyl (OH) SFG peaks of cellulose could be related to the intercrystallite distance. The experimentally measured CH/OH intensity ratio as a function of the intercrystallite distance could be explained reasonably well with a model constructed using the theoretically calculated hyperpolarizabilities of cellulose and the symmetry cancellation princi.
Trust Them, Threaten Them, or Lure Them? Effective Audit Systems to Promote Compliance

Increasing compliance is a vibrant topic in firms. Recent cases of loss of reputation and customer confidence have underlined the importance of this issue. A critical prerequisite for compliance on the firm level is compliance of the workforce. We address the question of appropriate means for firms to foster compliance of their workforce, in particular, when compliance is not in the monetary interests of workers. We investigate the effects of : (1) increasing the detection probability of non-compliance, (2) monetary incentives to promote compliance (bonuses and penalties), and the interaction of (1) and (2). We find that compared to a situation without any audits, audit systems that penalize non-compliance or reward compliance, but with a low detection probability lead to significantly lower compliance. Increasing the detection probability increases compliance, yet only a penalty system with a high detection probability ensures significantly higher compliance than without audits.
Recommending Open Source Software Projects to Developers

Growing popularity of OSS has attracted millions of developers to social coding platforms such as GitHub.com. However, it appears that OSS software is becoming a victim of its own success because finding the right project, among millions of projects hosted on social coding platforms, is a gruelling task for developers. Lack of mismatch among developers and projects has resulted in high developer turnover and project failures. In this context, the evolving nature of developers’ preferences and projects’ goals, complicates matching of developers and projects. This paper proposes a new artefact based on collaborative filtering (CF) recommendation technique to recommend OSS projects to developers. The dynamic nature of projects’ evolution and the developers preferences makes this a very different problem than, say, recommending products to consumers. Our proposed method uses developers’ socio-technical activities to capture their evolving preferences and project goals, and creates an implicit personalized project rating/ranking for developers. A multi-criteria decision-making technique is used to generate an overall rating based on developers’ different types of activities. The proposed artefact has been evaluated with the real-world data from GitHub. Our results show that developers who join projects that we recommend, are among the top contributors on these recommended projects, and vice versa for the developers who join projects that we don’t recommend. The comparison of proposed method with other state of the art collaborative filtering approaches shows promising results.
Allocation of Limited Resources in a System with a Stable Hierarchy (on the Example of the Prospective Military Communications System)

The article is devoted to the formalization of the resource allocation problem in the hierarchical social system, where resources are distributed according to the agent's role in the system. We study the application of a proposed mathematical model to the organization of the special purpose communication network. Also, we propose an algorithm of the automatic partitioning of the radio communication system according to the role of nodes. None of the nodes has complete knowledge about the entire communication system, and the initially unknown information about the purpose of nodes is established in the process of the beacons exchange.
Gut microbiota and fecal short-chain fatty acids are not associated with bone mass in healthy Chinese children: a cross-sectional study

Background The link between the gut microbiota, short-chain fatty acids (SCFAs), and bone loss has already been observed in animal models and a few human studies in adults, but no such study has been conducted in children. We aimed to investigate whether the gut microbiota and fecal SCFAs are associated with bone mass in healthy Chinese children aged 6–9 years. Methods In this study, 236 healthy children including 145 boys and 91 girls were enrolled. Fecal samples from children were collected, and DNA was extracted. 16S rRNA gene sequencing was used to characterize the composition of their gut microbiota. Total and 10 subtypes of SCFAs in the fecal samples were determined by high-performance liquid chromatography. Dual X-ray absorptiometry was used to measure the bone mineral density and bone mineral content (BMC) for total body and total body less head (TBLH). Size-adjusted BMC for TBLH was calculated. Result The boys showed less gut microbial diversity than the girls, as indicated by the Chao1 index (364.02 (63.07) vs. 375.12 (43.50), P = 0.018) and abundance-based coverage estimator (362.65 (54.48) vs. 381.07 (40.19), P = 0.007). No significant sex difference was found in the relative abundance of the gut microbiota at any level. Multiple regression analysis after adjustment for covariates and multiple test correction showed that neither gut microbial richness (β: −0.15–0.16, P: 0.376–0.984) nor fecal subtypes of or total SCFAs (β: −0.06–0.17, P: 0.699–0.979) were correlated with bone mass measures in total samples. Similar results were observed in sex-specific analysis. Conclusions Our results did not support the hypothesis that the gut microbiota and fecal SCFA concentrations are associated with bone mass in children.
Crystallisation of amorphous fenofibrate and potential of the polymer blend electrospun matrices to stabilise in its amorphous form

Fenofibrate was chosen as the drug of interest in this study because of its poor water-solubility, highly unstable amorphous state and unpredictable crystallisation behaviour. The crystallisation behaviour of amorphous fenofibrate is essential information that primarily corresponds to the physical stability of solid dispersion formulations. This project aims to probe how to control the crystallisation of amorphous fenofibrate, enhance its aqueous solubility and improve its physical stability by using electrospun polymer blend matrices. A range of characterisation technologies including MTDSC, ATR-FTIR, PXRD, SCXRD, SEM, TEM, HS-PLM, nano-TA and ss-NMR were used to characterise the physicochemical properties of both the crystallisation process of fenofibrate, and fenofibrate solid dispersions. The amorphous fenofibrate was crystallised using heterogeneous nucleation techniques, including surface disruption and impurity addition (talc). The presence or absence of an open top surface (OTS) was found to be one of the key factors which dictated the crystallisation of the amorphous fenofibrate into specific polymorphs. The use of thermal treatment in addition to OTS was able to finely tune the selectivity of the crystallisation of fenofibrate to form I or/and form IIa. The use of a low percentage of talc as heterogeneous nuclei resulted in the crystallisation of the new fenofibrate polymorph III. The polymer blend fibres prepared by electrospinning were phase separated solid dispersions that improved the aqueous solubility of the fenofibrate in comparison to the fenofibrate crystals. The drug-polymer and polymer-polymer miscibility were found to be the key parameters that affected the physical stability of the incorporated amorphous drug and the phase separation in the formulations. Additionally, the in situ phase separation of the hydrophilic and hydrophobic polymers in the blends led to modified drug release. The drug release rate could be fine-tuned by altering the ratio of the polymers. The new knowledge generated by this work relates to the following areas: 1) an improved understanding of the crystallization process of fenofibrate and its polymorphic control; 2) the use of polymer blend matrices in electrospun fibres that leads to the stabilization of amorphous drugs when they are incorporated in those fibres; and 3) the modification of the drug release profiles via the use of hydrophilic and hydrophobic polymer blend matrices for electrospinning.
Phosphorous Doping of Nanostructured Crystalline Silicon

Nano-textured silicon, known as black silicon (bSi), is attractive as an excellent photon trapping properties. bSi can be produced using simple one-step fabrication reactive ion etching (RIE) technique. In this study, we present recent results of doping of nano-structured crystalline silicon surfaces and compared their properties to planar silicon. We doped planar, KOH-etched random pyramid and RIE nano-structured silicon surfaces with phosphorous oxychloride (POCl 3 ) in the temperature range 850-1000 o C for 15 and 20 min, respectively. Sheet resistance measurements show slight differences in doping density between planar, KOH pyramidal and bSi structures. bSi samples have lower sheet resistance, pointing to higher doping density presumably due to the higher surface area. These results can be used to optimize doping processes for industrial production of bSi solar cells.
Current challenges of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) seroprevalence studies among blood donors: A scoping review

Background: Blood donors are increasingly being recognized as an informative resource for surveillance. We aimed to review and characterize SARS-CoV-2 seroprevalence studies conducted using blood donors to investigate methodology and provide guidance for future research. Methods: We conducted a scoping review of peer-reviewed and preprint publications between January 2020 to January 2021. Two reviewers used standardized forms to extract seroprevalence estimates and data on methodology pertaining to population sampling, periodicity, assay characteristics and antibody kinetics. National data on cumulative incidence and social distancing policies were extracted from publicly available sources and summarized. Results: Thirty-three studies representing 1,323,307 blood donations from 20 countries worldwide were included (sample size per study ranged from 22 to 953,926 donations). Seroprevalence rates ranged from 0% to 76% (after adjusting for waning antibodies). Overall, less than 1 in 5 studies reported standardized seroprevalence rates to reflect the demographics of the general population. Stratification by age and sex were most common (64% of studies), followed by region (48%). 52% of studies reported seroprevalence at a single time point. Overall, 27 unique assay combinations were identified, 55% of studies used a single assay and only 39% adjusted seroprevalence rates for imperfect test characteristics. Among the eight nationally representative studies case detection was most underrepresented in Kenya (1:1264). Conclusion: As of December 11, 2020, 79% of studies reported seroprevalence rates <10%; thresholds far from reaching herd immunity. In addition to differences in community transmission and diverse public health policies, study designs and methodology were likely contributing factors to seroprevalence heterogeneity.
Psychosocial and Behavioral Responses and SARS-CoV-2 Transmission Prevention Behaviors while Working during the COVID-19 Pandemic

Background The impact of coronavirus disease-2019 (COVID-19) on psychosocial and behavioral responses of the non-healthcare workforce is unknown. This study investigated these outcomes in this population during the pandemic while also evaluating transmission prevention behavior implementation at the workplace. Methods We deployed the baseline questionnaire of a prospective online survey from November 2020-February 2021 to U.S.-based employees. The survey included questions on psychosocial and behavioral responses in addition to transmission prevention behaviors (e.g., mask wear). Select questions asked employees to report perceptions and behaviors 'before' and 'during' the COVID-19 pandemic. Data were analyzed descriptively and stratified by work from home (WFH) percentage. Results In total, 3,607 employees completed the survey from eight companies. Most participants (70.0%) averaged >=90% of their time WFH during the pandemic. Employees reported increases in stress (54.0%), anxiety (57.4%), fatigue (51.6%), and feeling unsafe (50.4%) from before to during the pandemic, while feeling a lack of companionship (60.5%) and isolation from others (69.3%). Productivity was perceived to decrease, and non-work screen time and alcohol consumption to increase, for 43.0%, 50.7%, and 25.1% of employees, respectively, from before to during the pandemic. Adverse changes were worse among those with lower WFH percentages. Most employees reported wearing a mask (98.2%), washing hands regularly (95.7%), and physically distancing (93.6%) when at workplace. Conclusion Results suggested worsened psychosocial and behavioral outcomes from before to during the COVID-19 pandemic and higher transmission prevention behavior implementation among non-healthcare employees. Observations provide novel insight into how the COVID-19 pandemic has impacted non-healthcare employees.