Miracle-dz/UniFAR-FTUs huggingface dataset:
Identifying DQ-Domain Admittance Models of a 2.3-MVA Commercial Grid-Following Inverter via Frequency-Domain and Time-Domain Data

In this paper, we present two methods to identify the admittance of a 2.3-MVA commercial grid-following inverter through frequency-domain data and time-domain data. In addition to the well-known harmonic injection method to obtain the admittance at frequency points followed by vector fitting, we adopt a step response-based method where the step response data of the converter are collected and their <inline-formula><tex-math notation="LaTeX">$s$</tex-math></inline-formula>-domain expressions are obtained. In turn, the <inline-formula><tex-math notation="LaTeX">$s$</tex-math></inline-formula>-domain admittance model of the converter is found. The two methods can be used for cross validation. Step responses and frequency-domain responses obtained from the two methods are compared. Results show that the time-domain data-based method leads to an admittance comparable with that from the frequency-domain measurement in the range less than 60 Hz. In addition, two insights are obtained from the frequency-domain admittance measurements. First, when the <inline-formula><tex-math notation="LaTeX">$dq$</tex-math></inline-formula>-frame is aligned to the point of common coupling (PCC) voltage, the per unit DQ-domain admittance directly reflects operating conditions. Second, existence of negative-sequence control can be detected via sequence-domain admittances.
Effect of phosphonium based ionic liquid on structural, electrochemical and thermal behaviour of polymer poly(ethylene oxide) containing salt lithium bis(trifluoromethylsulfonyl)imide

Solid polymer electrolytes (SPEs) using polymer poly(ethylene oxide) (PEO), lithium salt bis(trifluoromethylsulfonyl)imide (LiTFSI) and ionic liquid (IL) trihexyltetradeylphosphonium bis(trifluoromethylsulfonyl)imide have been prepared. These prepared solid polymer electrolyte films have been characterised by using different experimental techniques: X-ray diffraction (XRD), scanning electron microscopy (SEM), differential scanning calorimetry (DSC), thermo gravimetric analysis (TGA), complex impedance spectroscopy, Fourier transform infrared spectroscopy (FTIR), an electrochemical analyser etc. Changes in crystallinity, melting temperature (Tm), glass transition temperature (Tg), thermal stability and ionic transport behaviour of the prepared polymer electrolyte have been observed when the LiTFSI salt and different concentrations of IL were incorporated in the pristine polymer PEO. Ionic conductivity of the prepared solid polymer electrolyte (PEO + 20 wt% LiTFSI) has been found to increase with increasing IL concentration in polymer electrolytes up to 20 wt% IL. Total ionic transference number >0.99 and cationic transference number ∼0.37 with an electrochemical window of ∼3.34 V has been observed for the optimized solid polymer electrolyte (PEO + 20 wt% LiTFSI + 20 wt% IL). Temperature dependant ionic conductivity obeys Arrhenius type thermally activated behaviour.
Preconception Care: Knowledge, Attitude and Practic e among Health Workers in Alimosho Local Government Area, Lagos St ate, Nigeria

Background: Preconception care is recognized as a critical comp onent to identify risk factors that might affect future pregnancies and development. Health care wor kers’ level of awareness, attitude knowledge could have an impact on the rate of maternal and infant mortality . Objective: This study aimed to assess the level of knowledge, attitude and practice of preconception care among health care workers. Methods: A descriptive cross-sectional survey design and a m ulti-stage sampling technique were utilized. Data w as collected using a structured questionnaire from hea lt c re workers in health care facilities in Eti-O sa and Ikeja local government areas of Lagos State. Two hundred and si x health care workers were enrolled, informed conse nt ought and data was analyzed using the Statistical Package for Social Science version 21.0 to generate descri ptive (frequency tables, charts) and inferential statisti cs (correlation and regression). Results: The mean±SD age of respondents was 32.5±1.613 years ; 127 (61.7%) were single and more than half (58.3%) were females. Slightly more than half of th e respondents (116;56.3%) were doctors and majority (88.3%) of the respondents knew what preconception care is. Th e level of knowledge was high (85.9%); 79.1% had a positive attitudinal disposition towards preconception care nd 78.2% had a high level of practice. Practice ha d a significant relationship with attitude of health workers (r = 0 .144; p = 0.039) and contributed to only 2.1% of th e change in practice. The knowledge of health workers had a neg ative correlation with attitudinal disposition (r = -0.139; p = 0.046) but only contributed to 1.9% of the change i n attitude. Conclusion: Practice of health workers in respect to preconcept ion care needs improvement. Further studies are recommended to explore other factors influencing pr actice of preconception care in Nigeria.
Determination of Intercultural Sensitivity Levels of Nurses and the Factors Affecting their Intercultural Sensitivity

Aim: This study was conducted to find out intercultural sensitivity levels of nurses and the factors influ encing these levels. Method: This descriptive study was conducted between Septe mber 1 and November 15, 2019 with 156 nurses who were not in their leave period and who agreed t o participate in the study from nurses working in a ll units of the health practice and research centre of a univer sity in Black Sea region. The data in the study wer e collected with face-to-face interview technique by using desc riptive information form which included 23 items de veloped by the researchers in line with the literature and I tercultural Sensitivity Scale (ISS). SPSS package program (version 24.0) was used in the assessment of data. For data analysis, Independent t test, ANOVA, Tukey test, Mann-Whitney U test and Kruskal Wallis test were us d in addition to descriptive statistics. p<0.05 le ve was considered as statistically significant in all stat i tical analyses. Ethical board approval and permis sion from the related institution were taken. Results: Average age of the nurses who participated in the s tudy was 30,28±8,74 years and 80,8% were female. Statistically significant difference was found betw en nurses’ ages, marital status and total years of working and ISS scores. In addition, it was found that the empl oyees’ states of knowing a foreign language and whe ther they could get preliminary information about the patient statistically significantly affected intercultural sensitivity. Conclusion: Nurses have moderate level of intercultural sensit ivity. Age, marital status and total years of working are the factors influencing intercultural s en itivity. Nurses have problems in communication m ost when providing care to individuals from different cultur es. The results of the study show the importance of pr viding training to increase cultural sensitivity to nurses working in university hospital especially because th re are too many patients from different cultures recently in T urkey.
Algorithmic approaches for optimizing linear infrastructure planning

The ubiquitous expansion and transformation of the energy supply system involves large-scale power infrastructure construction projects. With more than a million dollars of investment per kilometre, planning authorities aim to minimise the resistances posed by multiple stakeholders, including for example environment protection and distance control. Mathematical optimisation research offers efficient algorithms to compute globally optimal solutions for least-cost transmission line routing based on geographic input data. We propose a framework, PowerPlanner, that utilizes a graph model where vertices represent possible locations of power transmission towers and edges are placed according to the feasible distance between neighbouring towers. Our experiments show that compared to previous work our approach reduces the resistances by more than 10% in feasible time, while at the same time offering much more flexibility and functionality. As part of the computational framework, we developed and analyzed new algorithms to cope with the challenges arising in linear infrastructure layout: First, we introduce a variant of the Bellman-Ford algorithm that efficiently computes the minimum-angle shortest path. Furthermore, we discuss and analyse methods to output several diverse path alternatives, and last provide a method to optimise the pylon height in complex terrain. Apart from some problems that are shown to be NP-hard, we prove efficient runtimes for the implemented approaches. Finally, our methods are demonstrated in a simple and intuitive graphical user interface. All code is available at https://github.com/NinaWie/PowerPlanner.
Safety and effectiveness of intensive treatment for complex PTSD delivered via home-based telehealth

ABSTRACT Background: Home-based psychotherapy delivered via telehealth has not been investigated in the context of intensive trauma-focused treatment for individuals with severe or Complex posttraumatic stress disorder (PTSD). Objective: To examine the feasibility, safety and effectiveness of an intensive treatment programme containing prolonged exposure, EMDR therapy, physical activities and psycho-education, delivered via home-based telehealth. Method: The treatment was carried out within four consecutive days during the outbreak of the COVID-19 pandemic. The sample consisted of six (four female) patients suffering from severe or Complex PTSD resulting from exposure to multiple traumatic events, mostly during early childhood. Four of them fulfilled the diagnostic criteria of complex PTSD. Outcome measures were the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5), the PTSD Checklist for DSM-5 (PCL-5), and the International Trauma Questionnaire (ITQ). Results: CAPS-5 and PCL-5 scores decreased significantly from pre- to post-treatment (Cohen’s ds 1.04 and 0.93), and from post-treatment to follow-up (Cohen’s ds 0.92 and 1.24). Four of the six patients lost their PTSD or Complex PTSD diagnostic status. No patient dropped out, no personal adverse events and no reliable symptom worsening occurred. Conclusions: The results suggest that intensive, trauma-focused treatment of severe or Complex PTSD delivered via home-based telehealth is feasible, safe and effective, and can be a viable alternative to face-to-face delivered intensive trauma-focused treatment. HIGHLIGHTS • First study to evaluate the effectiveness of a full, remotely applied, intensive trauma-focused home-based therapy programme for severe or Complex PTSD. • Four days of remotely administered intensive trauma-focused therapy proved safe and effective. • Four of the six participants improved significantly with regard to their posttraumatic symptomatology showing large effect-sizes.
Factors Affecting Organizational Commitment Mediated By Employee Loyalty: Study in Aceh Financial Management Board

This study is to prove the factors that affect the organizational commitment. The object of this research is all employees at the Aceh Financial Management Board. A number of samples in this study were 191 people out of a total of 366 employees of the Aceh Financial Management Board. This study uses SEM as an analytical method. The result shows that job characteristics affects the organizational commitment, organizational support affects the organizational commitment, job characteristic affects the loyalty of employees, organizational support affects the loyalty of employees, employee loyalty affects the organizational commitment, employee loyalty mediates the effect of job characteristics on the organizational commitment, employee loyalty mediates the effect of organizational support on the organizational commitment of the aceh financial management board. These proofs support the previous theories and the model becomes the new premises. This model contributes to the academics area that provide the update causality theories. The novelty lies in the model formed that is integrated from the previous research models. For the practical leaders, this can be a reference for formulating the policies in further. The limitation of this study resides in scope of the model and object.
Volatile components of peel oils of italian and Japanese lemon and bergamot

The volatile components of Italian and Japanese lemon and bergamot peel oils were analyzed by GC and GC-MS. Two varieties of Italian lemon and one Japanese lemon were compared, while Italian grown bergamot was compared to Japanese grown bergamot. The essential oils were extracted by the cold-pressed oil method. The quantitative compositions of the peel oils were determined either by relative peak area percent or by weight percent with both n-heptanol and methyl myristate as internal standards. Octanal, nonanal, decanal, terpinen-4-ol, citronellyl acetate and trans-β-farnesene were detected at levels of more than 0.01% in the Italian lemon oils, while the same compounds were not found in the Japanese oils. Neral and geranial were present in Japanese lemon oils at levels two times higher than the Italian oils analyzed. There was a difference in the ratio of linalol to linalyl acetate between Italian and Japanese bergamots with indices of 0.156 and 0.550, respectively. The contents of monoterpenes such as limonene, β-pinene, γ-terpinene and p-cymene were higher in the Italian than in the Japanese oils.
R ETRIEVAL -A UGMENTED G ENERATION FOR C ODE S UMMARIZATION VIA H YBRID GNN

Source code summarization aims to generate natural language summaries from structured code snippets for better understanding code functionalities. However, automatic code summarization is challenging due to the complexity of the source code and the language gap between the source code and natural language summaries. Most previous approaches either rely on retrieval-based (which can take advantage of similar examples seen from the retrieval database, but have low generalization performance) or generation-based methods (which have better generalization performance, but cannot take advantage of similar examples). This paper proposes a novel retrieval-augmented mechanism to combine the beneﬁts of both worlds. Furthermore, to mitigate the limitation of Graph Neural Networks (GNNs) on capturing global graph structure information of source code, we propose a novel attention-based dynamic graph to complement the static graph representation of the source code, and design a hybrid message passing GNN for capturing both the local and global structural information. To evaluate the proposed approach, we release a new challenging benchmark, crawled from diversiﬁed large-scale open-source C projects (total 95k+ unique functions in the dataset). Our method achieves the state-of-the-art performance, improving existing methods by 1.42 , 2.44 and 1.29 in terms of BLEU-4, ROUGE-L and METEOR.
Coronavirus and Social Distancing: Do Non-Pharmaceutical-Interventions Work (at Least) in the Short Run?

Using detailed daily information covering 100 countries and an event-study approach, we estimate the short run effects of implementing Non-Pharmaceutical Interventions (NPIs) on the spread of the COVID-19 virus at the early stages of the pandemic. We study the impact of two NPIs -stay-at-home requirements and workplace closures - on three outcomes: daily residential and workplace mobility; the daily growth rate of cases; and the daily growth rate of fatalities. Acknowledging that we observe a mobility reduction in countries before they implemented NPIs, we find that immediately after NPIs were implemented, mobility declined by 0.2 standard deviation (SD), and two weeks afterwards it was down by 0.7 SDs. 25 days after the NPIs were implemented, the daily growth rate of cases and deaths was lower by 10% and 8.4% respectively. Our results reveal that between 53 and 72 percent of the reduction of the daily growth rate of cases and deaths associated with a reduction of mobility is caused by NPIs.
Incidence and mortality due to respiratory diseases in rabbits

In the present study, the materials consisted of tissue samples from rabbit carcasses collected from organized farms located in and around Hyderabad apart from the animals necropsied in the Department of Veterinary Pathology, PVNRTVU, College of Veterinary Science, Rajendranagar, Hyderabad. A total of 150 rabbit carcasses of either sex and of different age groups died during January to July 2018 were subjected to detailed postmortem examination for pathological and bacteriological study. System wise causes of mortality was summerized in which highest mortality is due to involvement of respiratory system (43.33%). In respiratory system higher incidences of mortality due to pneumonia (73.84%), followed by tracheitis (6.15%), emphysema (6.2%), lung abscess (4.6%), pulmonary oedema (3.08%) and congestion (3.08%) were recorded. A total of 45 samples from lungs were examined for bacterial isolation and the major pathogen isolated from lungs was Staphylococcus (33.33%) followed by E.coli (24.43%), streptococcus (13.33%), Pasteurella (8.9%). ABST revealed that most of the bacterial strains were sensitive to ceftriaxone and gentamycin.
Efficient Semitransparent Perovskite Solar Cells for 23.0%‐Efficiency Perovskite/Silicon Four‐Terminal Tandem Cells

Dr. B. Chen, Dr. Y. Bai, X. Zheng, Dr. Q. Dong, Dr. L. Shen, Prof. J. Huang Department of Mechanical and Materials Engineering University of Nebraska-Lincoln Lincoln , NE 68588 , USA E-mail: jhuang2@unl.edu Z. Yu, Dr. M. Boccard, Prof. Z. Holman School of Electrical Computer, and Energy Engineering Arizona State University Tempe , AZ 85287 , USA Dr. T. Li, Prof. A. Gruverman Department of Physics and Astronomy University of Nebraska-Lincoln Lincoln , NE 68588 , USA
Complex dynamic systems of language teacher cognitions: A case study from Bangladesh

Teacher cognition research has provided useful insights into complex, dynamic, and contextual teaching processes. Yet, there is no systematic framework for describing the complex, dynamic and contextual features of teacher cognition. This research applied complexity theory to the analysis of characteristics of teacher cognition systems of an English as a foreign language (EFL) teacher in Bangladesh and examined how the relationship between the different components of teacher cognition systems led to the complex characteristics of their cognition and teaching practices. The case was investigated using multiple sources of data collection which included in-depth interviews, classroom observations and stimulated recall. The findings present evidence of the EFL teacher’s complex knowledge of communicative language teaching and curriculum implementation through classroom practices, the influence of his prior language learning experiences on his practices, his experiences as a novice teacher resulting from teacher training input, his classroom interactions with his students, and further professional development.
Response of wheat genotypes to foliar spray of ZnO and Fe2O3 nanoparticles under salt stress

ABSTRACT This study evaluated the effects of iron oxide (Fe2O3) and zinc oxide (ZnO) on two wheat genotypes (Kavir and Tajan) at three levels (0, 75, and 150 mM sodium chloride (NaCl)) of salinity. Spray treatments included two forms of normal and nanoparticles of Fe2O3 and ZnO, a mixture of nanoparticles of Fe2O3 and ZnO (2 g L−1) and a non-spray treatment. The pot experiment was arranged as factorial in a randomized complete block design with four replications. Two forms of Fe2O3 and ZnO significantly accelerated plant height, leaf area, shoot dry weight, and the concentration of iron (Fe) and zinc (Zn) in comparison with non-spray treatment. The highest plant height and leaf Fe concentration belonged to Fe2O3 nanoparticles; however, it seems that the spray of nanoparticles may not be superior compared with normal forms in alleviation of salinity impacts.
Antioxidant and Cytotoxic Activities of Usnea barbata (L.) F.H. Wigg. Dry Extracts in Different Solvents

Lichens represent a significant source of antioxidants due to numerous metabolites that can reduce free radicals. Usnea barbata (L.) F.H. Wigg. has been recognized and used since ancient times for its therapeutic effects, some of which are based on its antioxidant properties. The present study aims to analyze the phytochemical profile and to evaluate the antioxidant and cytotoxic potential of this lichen species. Five dry extracts of U. barbata (UBDE) in different solvents (acetone, ethyl acetate, ethanol, methanol, water) were prepared by refluxing at Soxhlet to achieve these proposed objectives and to identify which solvent is the most effective for the extraction. The usnic acid content (UAC) was quantified by ultra-high performance liquid chromatography (UHPLC). The total polyphenols content (TPC) and tannins content (TC) were evaluated by spectrophotometry, and the total polysaccharides (PSC) were extracted by a gravimetric method. The 2,2-diphenyl-1-picryl-hydrazyl-hydrate (DPPH) free radical method was used to assess the antioxidant activity (AA) and the Brine Shrimp Lethality (BSL) assay was the biotest for cytotoxic activity evaluation. The ethyl acetate extract had the highest usnic acid content, and acetone extract had the highest content of total polyphenols and tannins. The most significant antioxidant effect was reported to methanol extract, and all the extracts proved high cytotoxicity. The water extract has the lowest cytotoxicity because usnic acid is slightly soluble in this solvent, and it was not found at UHPLC analysis. All extracts recorded a moderate correlation between the content of usnic acid, polyphenols, tannins, and AA; furthermore, it has been observed that the cytotoxicity varies inversely with the antioxidant effect.
Applying the Four Russians Technique to Banded Extension and X-Drop Sequence Alignment

The Four Russians technique is a method that divides a sequence alignment problem into tiles and uses a precomputed lookup table to quickly ﬁnd the solution to each tile. By dividing the dynamic programming table into tiles of size t n × t m , the running time of the alignment algorithm is reduced to O(nm/(t n t m )) . We explore this technique as it applies to the problem of genomic sequence alignment. Beyond the simple global alignment problem, we implement the Four Russians technique for a banded extension algorithm, which only covers a diagonal band of the dynamic programming table and, similar to local alignment, extends an alignment ending anywhere in the table, and an early dropout algorithm similar to X-Drop. Using a t 3 × t 3 sized tile, the average speedup was 5.15 for the Needleman-Wunsch full global alignment algorithm, 2.98 for the banded extension algorithm, and 2.77 for the X-Drop algorithm, running over data produced by the PBSIM synthetic generator.