Miracle-dz/UniFAR-FTUs huggingface dataset:
Use of systematic review terminology and methodological quality in children’s social care

Purpose: What Works for Children’s Social Care has developed an ‘Evidence Store’ to improve awareness of evidence from systematic reviews in children’s social care. During review selection, some reviews were excluded due to methodological flaws, which this paper considers. Methods: Reviews were identified using a systematic search and screening process. Where reviews were identified as systematic reviews or meta-analyses, exclusion reasons were recorded and analysed. Results: The main methodological issue related to quality assessment, which was not conducted in the majority of cases. Several different types of quality assessment tools were used: scales, checklists, and domain-based approaches. Conclusions: This is the first study to examine the use of systematic review terminology in combination with the use of quality assessment tools in reviews in children’s social care. Consideration of appropriate systematic review methods will enable researchers to generate high quality evidence and support delivery of evidence-based care.
Achieving Personal and Professional Sustainability in Emergency Nursing: A Grounded Theory Study

Gilny’s study considers how Indonesian emergency nurses sustain themselves personally and professionally in their work and care. Using both constructivist grounded theory methodology and situational analysis, Gilny constructed a substantive grounded theory entitled: Achieving personal and professional sustainability. The theory explained a number of strategies used by emergency nurses and the social processes of being sustainable. The theory will contribute to further improvement in the sustainability of the emergency nursing workforce and has important implications for emergency nursing practice, nursing education, nursing management, and future research.
Implementation of Different MPPT Techniques in Solar PV Tree under Partial Shading Conditions

This paper presents the design and analytical modeling of the proposed solar photovoltaic standalone system under varying environmental conditions. The proposed system consists of a unique structure of a solar PV-tree, maximum power point tracking (MPPT) technique, and DC–DC converter. The output voltage acquired from the solar PV tree is low. A DC–DC boost converter is utilized to step-up the required amount of voltage level. In this paper, the appropriate duty cycle is obtained for extracting the optimum power from the solar PV tree by using various MPPT mechanisms such as perturb and observe (P&O), incremental conductance (INC), and a radial basis function network (RBFN)-based neural network (NN). The proposed solar photovoltaic tree-based energy harvesting system is designed and validated by using MATLAB/SIMULINK software and real-time application. The simulation results of the above-mentioned three techniques are compared with each other in order to show the effectiveness of the proposed system with RBFN. The RBFN-MPPT provides a significant improvement in tracking efficiency of 6.0% and 5.72% as compared with the P&O method and the INC method at 1000 W/m2 irradiance condition. From the simulation and real-time results, it is concluded that the RBFN-based NN provides better tracking efficiency and less oscillation as compared with the other two algorithms.
Diagnostics of the efficiency and assessment of the possibilities of bioethanol production at sugar beet industry enterprises and distilleries in Ukraine

In modern conditions of economic globalization, strengthening market relations and aggravated competition, the economic development of an enterprise directly depends on the introduction of innovations. The transition to an innovative path of development requires the enterprise to determine its readiness and assess the possibility of development and the further implementation of innovations. Modern trends in the production of conventional liquid fuels in Ukraine, in particular, analysis of the production of motor gasoline and primary oil refining in Ukraine, the share of motor gasoline produced in Ukraine in the total volume of gasoline used, the volume of bioethanol production by Ukrainian distillery factories have been analyzed in the article. An assessment of the resource production potential for the production of bioethanol in Ukraine has been carried out. Possibilities of bioethanol production in Ukraine at distilleries have been investigated. An analysis of molasses production in Ukraine and theoretically possible volumes of bioethanol production from mo-
Bimetallic silver-gold film waveguide surface plasmon resonance sensor

A waveguide surface plasmon resonance (SPR) optical sensor based on wavelength modulation is presented. Strip waveguides are fabricated using MicroChem's SU-8 photoresist via UV lithography. Next, a bimetallic silver-gold film is deposited on the waveguides for exciting surface plasmon resonance. The underlying silver yields better evanescent field enhancement of the sensing surface, while the overlying gold ensures that the stability of the metallic film is not compromised. Experiments were conducted using various glucose concentrations as the analyte, and the normalized transmission output of the waveguide shows a good SPR curve for all the analytes. With a better evanescent field extension, the proposed waveguide SPR configuration extends the use of SPR, especially in bio-sensing, as longer ligands can be immobilized and bigger analytes can be monitored.
Accurate and efficient vehicle detection framework based on SSD algorithm

Vehicle detection plays an important role in intelligent transportation systems and security. Using the original Single Shot MultiBox Detector (SSD) directly for vehicle detection, lacks accuracy and stability. Moreover, most of the state-of-the-art methods need cost a lot of time to inference. Vehicle detection is often used in complex trafﬁc environments. There-fore, faster detection speed and higher detection accuracy are required. This study is aimed at developing a trade-off between accuracy and speed vehicle detection framework based on the SSD algorithm. To improve the multi-scale detection performance of SSD, semantic information, detailed features and receptive ﬁelds are combined to propose the feature pyramid enhancement strategy (FPES). On the other hand, the cascade detection mechanism is proposed to strengthen the positioning capability of SSD and an adaptive threshold acquisition method for object detection module (ODM) stage to improve model accuracy. Finally, a more efﬁcient convolutional network is deployed through network slimming. Experimental results demonstrate that the proposed framework achieves state-of-the-art performance on UA-DETRAC and Udacity benchmarks. Interestingly, the inference time is the lowest for the proposed method than the state-of-the-art methods, promising its application for fast and effective vehicle detection.
Developing Instagram-Based E-Poster for Learning the Concept of Alkaline Group of Periodic Table

This research aimed at developing e-poster as learning media, analyzing how students respond to the e-posters uploaded to Instagram. This R&D research utilized an ADDIE model of development consisting of five stages: analysis, design, development, implementation, and evaluation. The research took place during even semester at the Department of Chemical Education, Faculty of Education and Teacher Training, Universitas Syiah Kuala. A total of twenty-four students (4 male and 20 female) who enrolled in the course of "elements and compounds of primary groups" voluntarily took part in the research subjects. We collect the data using the following instruments: A validity assessment form, a questionnaire for students, and an active Instagram account necessary for uploading the contents and monitoring students' activity on the platform. The results show that the validity score of e-posters was 97.5%, and 89 % of students responded positively to the media, and the vast majority of students would prefer to learn using e-posters in the future. The findings indicated that e-posters could contribute as alternative learning media to help students understand the concept of alkali group elements
University Students’ Adherence to the COVID-19-guidelines: A Qualitative Study on Facilitators and Barriers

Objective. This study aims to explore students’ adherence and reasons behind the (non)adherence to the COVID-19-regulations within a university setting.Methods. A total of 33 students participated in on-site and online focus group interviews (k=8). Discussed topics included the general COVID-19-guidelines of the university, including keeping ≥1.5 m distance, staying at home and getting tested when having symptoms, and wearing facemasks. Additionally, education and psychosocial wellbeing in the times of COVID-19 were discussed. We also conducted online interviews with stewards (2 focus group interviews and 1 individual interview) and security/crowd control officials (1 focus group interview) to learn more about students’ (non)adherence behaviors. Results. The findings of this study show that the interviewed students were willing to adhere to the guidelines within the university buildings. They mentioned several facilitators (e.g., the infrastructure of the buildings and staff) and barriers (e.g., being together with friends and difficulties with telling others to follow the regulations) for their compliance behaviors. Some students also stated that they are not afraid of COVID-19 because they are young, while others adhered to the regulations to protect vulnerable people.Conclusion. To create a safe environment within the university and alleviate the spread of the virus, future interventions require targeting the determinants of students’ non-adherence behaviors, such as lower risk perception (e.g., being young and no perceived threat/low vulnerability) and lower self-efficacy (e.g., for keeping distance, to determine symptoms for testing/isolating and to correct others).
A real-business-cycle model with human capital accumulation: lessons for Bulgaria (1999-2018)

ABSTRACT We introduce human capital accumulation into a real-business-cycle setup. We calibrate the model to Bulgarian data for the period following the introduction of the currency board arrangement (1999–2018). We investigate the quantitative importance of the presence of skill acquisition for cyclical fluctuations in Bulgaria. After subjecting the smodel to a battery of tests, we find the quantitative effect of such a channel – aside from producing a moderate increase in the variability of hours – to be relatively small. In other words, government spending on education turns out to be an ineffective instrument when it comes to smoothing the cycle.
The Development and Content Validation of the Care Partner Hospital Assessment Tool

Background/Objectives: When aging adults are hospitalized due to a major health event, they often turn to care partners (‘family members or friends’) for support. Assessment of care partners’ needs during hospital care may be important to inform and target information and skills training that will equip them to fulfill caregiving tasks for the aging adults. The objectives of this study were to develop and complete content validation of the Care Partner Hospital Assessment Tool (CHAT). Methods: Based on standard instrumentation methodology and an assessment framework recommended by the National Center on Caregiving at the Family Caregiving Alliance, three steps were followed to develop and validate CHAT: (1) generation of a 24-item tool grouped into three content domains (background, plans and preferences, skills and supports), and a survey by a multidisciplinary team, (2) administration of an online survey of care partners and experts, and (3) assessment of item and scale-content validity indices (I-CVI and S-CVI). Results: A total of four care partners that provide unpaid care to a family member or friend age 65 years or older with a chronic illness or disability either before or after a hospitalization, and 19 leading experts in gerontology, caregiving, and health services completed an online survey in English. Twenty-two items were accepted by having an I-CVI at or above the acceptable 78% cut point; the S-CVI for the tool was 85%. Most revisions to the tool were associated with modifying or clarifying language within each item. For example, participants shared the following open-ended suggestions for revising CHAT: (1) change the “do you prefer” sentence stem to “do you want” (n = 12), define “training” (n = 6), and (2) allow care partners to provide an unsure response (n = 5). Conclusion: CHAT may be a promising way to increase health care practitioner’s understanding of care partners’ backgrounds, preferences and plans, and potential information or training needs during a patient’s hospital stay. Initial evaluation of CHAT reveals strong conceptual development and content validity.
Microvirga Amygdalina sp. nov., and Microvirga Alba sp. nov., Two New Species Isolated from Soil in South Korea

Two novel Gram-stain-negative, aerobic, rod-shaped, circular, convex, light-pink and white-coloured bacterial strains BT291T and BT350T were isolated from soil collected in Uijeongbu city (37° 44′ 55″ N, 127° 2′ 20″ E) and Jeju island (33° 22′ 48″ N, 126° 31′ 48″ E), respectively, South Korea. Phylogenetic analysis based on 16S rRNA gene sequences revealed that strains BT291T and BT350T belong to a distinct lineage within the genus Microvirga (family Methylobacteriaceae, order Rhizobiales, class Alpha Proteobacteria, phylum Proteobacteria, kingdom Bacteria). The 16S rRNA gene sequence similarity between the two strains BT291T and BT350T was 97.4 %. The two strains were found to have the same quinone system, with Q-10 as the major respiratory quinone. The major polar lipids of strains BT291T and BT350T were phosphatidylethanolamine (PE), diphosphatydilglycerol (DPG), phosphatidylcholine (PC) and phosphatidylglycerol (PG). The major cellular fatty acids of strain BT291T were C18:1 ω7c (58.2 %) and cyclo-C19:0 ω8c (25.7 %). The major cellular fatty acids of strain BT350T were C18:1 ω7c (38.5 %) and cyclo-C19:0 ω8c (27.7 %). Based on the polyphasic analysis (phylogenetic, chemotaxonomic and biochemical), strains BT291T and BT350T can be suggested as two novel bacterial species within the genus Microvirga and the proposed names are Microvirga amygdalina and Microvirga alba, respectively. The type strain of Microvirga amygdalina is BT291T (= KCTC 72368T = NBRC 114845T) and the type strain of Microvirga alba is BT350T (= KCTC 72385T = NBRC 114848T).
Comparing critical speed modelling approaches and exploring relationships with match-play variables in elite male youth soccer players

Background A novel bi-exponential method has emerged to estimate critical speed (CS) and D-prime (D′) from a 3-min all-out test (3MT). Objectives To compare CS analysis methods to determine whether parameter estimations were interchangeable. Reference values and relationships with key soccer match-play variables were explored. Methods Thirteen elite male youth (14–15 years old) players completed a 30 m shuttle run 3MT to estimate CS, D′, rate of speed decline time constant, maximal speed (Smax), time to Smax (tmax), and fatigue index (FI), using the traditional method and bi-exponential model on average (Bi-ExpAverage) and max speed settings (Bi-ExpMax-Speed). High-speed running (HSR) and sprinting distances and counts, and the number of accelerations were collected from two matches. Magnitude-based inferences (p < 0.05) with smallest worthwhile change of 0.2 effect sizes were used to analyse differences. Pearson’s and Spearman’s correlation coefficients were used to measure associations between CS model variables and match-play parameters. Results There were significant differences between the traditional method and both bi-exponential models for CS and D′, as well as between the bi-exponential models for all variables except tmax. Using the Bi-ExpAverage model, strong correlations (r = 0.70–0.73; p < 0.05) were observed for D′ and FI with the number of standardised and individualised HSRs, respectively. With the Bi-ExpMax-Speed model, there were strong correlations (r/ρ = 0.64–0.68; p < 0.05) between D′ and the number of standardised HSRs and sprints, and the number of individualised sprints. Conclusion There is a lack of interchangeability between analysis methods. It appears that D′ and FI from the bi-exponential models could be associated with high-intensity actions in soccer match-play.
Use of Magnetic Nanoparticles as In Situ Mucus Property Probe

Magnetic nanoparticles (MNPs) are unique in their abilities to penetrate and interact with a wide range of liquid media. Because of their magnetic properties, MNPs can be directed to any area of interest, and interact with core structures deep inside the medium which is normally inaccessible. In this report, we investigate the behavior of MNPs in a specific biological fluid, namely in a mucus layer of air–liquid interface cultured primary normal human tracheobronchial epithelial cells. Using Fokker–Planck algorithm simulations and observing the behavior of MNPs from prior experiments, we found MNPs that are initially less than 100 nm in size, to aggregate into sizes of ~50 μm and to deviate from the expected Fokker–Planck distribution due to the mucus structure. Based on our analysis, human tracheobronchial epithelial (NHTE) cell mucus viscosity ranges from 15 Pa·s to 150 Pa·s. The results not only confirm the possible use of MNPs as a means for medical drug delivery but also underline important consequences of MNP surface modifications.
The Effect of Green Tea (Camellia sinensis) Leaf Powder on Growth Performance, Selected Hematological Indices, Carcass Characteristics and Meat Quality Parameters of Jumbo Quail

Green tea leaves contain a wide range of active bio-compounds that are essential for sustainable quail intensification; however, its feed value is not known for the Jumbo quail. Therefore, this study evaluated the effect of different levels of green tea leaf powder (GTLP) on physiological and meat quality parameters of the Jumbo quail. One-week-old chicks (n = 350; 56.1 ± 2.12 g live-weight) were evenly distributed to 35 replicate pens and reared on five experimental diets formulated as follows: a standard grower diet with zinc-bacitracin (PosCon), a standard grower diet without zinc-bacitracin (NegCon), and NegCon diet treated with 10 (GT10), 25 (GT25) and 50 g/kg (GT50) of GTLP. Weight gain linearly decreased in week 2 but increased in week 4, whereas feed conversion efficiency linearly declined in weeks 2 and 3 as GTLP levels increased. Overall feed intake, carcass yield, and caecum and colon weights showed a linear increase with GTLP levels. Hematological parameters fell within the normal ranges reported for healthy quail. The GT10 group showed larger liver weights than the PosCon and NegCon groups. It was concluded that dietary inclusion of GTLP enhances overall feed intake and carcass performance but not feed efficiency, hematological and meat quality parameters of Jumbo quail.
Frações e qualidade da matéria orgânica de um soloconstruído vegetado com gramíneas após a mineração de carvão.

Apos a mineracao do carvao e necessaria a recomposicao topografica da area, originando solos construidos, os quais normalmente apresentam baixos estoques de materia orgânica do solo (MOS). As coberturas vegetais podem recuperar estes estoques, melhorando as condicoes do solo construido. O objetivo deste estudo foi avaliar o efeito de plantas de cobertura, sobre o estoque de carbono orgânico total (COT), carbono nas fracoes da MOS e sobre a qualidade da materia orgânica de um solo construido apos a mineracao de carvao. Avaliou-se dois experimentos em um solo construido, em Candiota/RS, um com seis anos (E6), e outro com dois anos (E2). Os tratamentos constituiram-se de coberturas vegetais: Hemartria (T1), Pensacola (T2), Grama Tifton (T3) e Braquiaria Brizantha (T4), no E6 e T1 Vaqueiro, T2 Braquiaria Brizantha, T3 Tanzânia, T4 Braquiaria Humidicola, T5 Hemartria e T6 Tifton, no E2. Amostrou-se o solo na camada de 0,00 a 0,03m nas areas experimentais e em area adjacente, o solo construido descoberto (T8) e um solo natural (Argissolo Vermelho) com vegetacao nativa (T9), para comparacao. No E6 realizaram-se os fracionamentos quimico e fisico (granulometrico e densimetrico) da MOS, determinando-se os estoques de nitrogenio total (NT), de COT e carbono nas fracoes, analise de infravermelho com transformada de Fourier (FTIR) do acido humico (AH) e fluorescencia induzida a laser (FIL) do solo inteiro. Calculou-se o percentual de AHs (HI), razao AH/acido fulvico (HR), o indice de manejo de carbono (IMC) e o grau de humificacao da MOS (HFIL). No E2, realizaram-se as mesmas determinacoes, com excecao do fracionamento quimico. No E6 o maior estoque de AH foi observado no T4, que nao diferiu do T1. O mesmo ocorreu para as fracoes leve livre (FLL) e leve oclusa (FLO). O HR variou de 0,27 a 1,0 e os tratamentos com maior HI foram o T1 e o T4, indicando uma MOS mais humificada. Os espectros de FTIR dos AHs de T1, T2 e T4 assemelharam-se ao do T9, enquanto que, o do T3 assemelhou-se ao do T8. A qualidade do solo construido foi melhorada principalmente por T1 e T4 (maiores IMCs). As plantas elevaram os estoques de COT, NT, de carbono nas fracoes da MOS e o IMC em comparacao ao T8, entretanto, estes valores foram inferiores aos do T9. No E2, os estoques de COT nao diferiram entre os tratamentos e o maior estoque de NT foi observado no T3, que nao diferiu de T2. Os maiores estoques de carbono na fracao grosseira (CFG), na FLL e IMCs foram observados em T2 e T3. As plantas elevaram os estoques de COT, NT, carbono nas fracoes da MOS e o IMC em relacao ao T8. Em ambos os experimentos, o HFIL dos tratamentos foi maior que o do T9 e menor do que o T8 e independente da especie vegetal houve recuperacao parcial da qualidade do solo, sendo as especies mais recomendadas para recuperacao do solo construido a Hemartria e a Braquiaria Brizantha no E6 e a Tanzânia e a Braquiaria Brizantha no E2.
Phytosomal gel of Manjistha extract (MJE) formulated and optimized with central composite design of Quality by Design (QbD)

Abstract The objective of the current research to investigate the transdermal delivery of phytosomal Manjistha extract gel (MJE gel). The optimized formulation was prepared and evaluated for different parameters. MJE-loaded phytosomes were prepared by solvent evaporation method using rotary evaporator. The formulation was prepared with a variable concentration of lecithin (0.15–0.25% w/v), with stirring speed of the round bottom flask (80–160 rpm). Design expert software was used for the optimization of MJE-loaded phytosomal formulations. Central composite design-based factorial design was applied and evaluated for vesicular size and entrapment efficiency as dependent variables. The optimized formulation was further characterized with vesicle size, zeta potential, in vitro release. The Carbopol 934 was used to convert the phytosomal formulation (F10) into phytosomal gel and evaluated for ex vivo permeation to check the difference in permeation profile in compare to conventional MJE gel. The optimized MJE-loaded phytosomal formulation (F10) showed the vesicular size of 122.15 ± 3.73 nm, entrapment efficiency of 96.25 ± 2.45% with PDI value of 0.98 ± 0.06. Among the drug release kinetic models, the formulation followed the Higuchi model with drug release of 84.2 ± 4.1% in 12 h. Transmission electron micrograph showed the uniform structure and spherical shape. The prepared phytosomal gel shows prolonged release and enhanced permeation compared to conventional MJE gel. Graphical Abstract