Miracle-dz/UniFAR-FTUs huggingface dataset:
Research Priorities and Indicators for Lifestyle Programs to Address Cardiometabolic Conditions

Background: Cardiometabolic conditions are a major and growing health burden in many countries. At least one-third of middle-aged adults with overweight and obesity develop various combinations of type 2 diabetes, hypertension, dyslipidemia, and other cardiometabolic conditions. Currently, all relevant clinical and community guidelines recommend lifestyle (e.g. diet and physical activity) interventions, yet current evidence suggests limited and variable uptake by either primary care or public health services. New implementation research in lifestyle interventions is needed in multiple jurisdictions. As part of this effort, some agreement within the research community on priorities and core measures and indicators across studies would improve comparability and drive progress. Members of a new volunteer network undertook a first Delphi process to determine initial consensus.Methods: Network members were invited by email to participate and completed two rounds of a modified Delphi process delivered through online questionnaire and teleconferences. Results were sent back to participants at the end of each round of the survey. High priority with consensus was defined as the median and 25-75%ile range within the 7 to 9 range on a 9-point scale. Results: Fifty-three people were invited and provided with a link to the first questionnaire. Twenty-five (47%) and 18 (34%) participants completed the round 1 and round 2 surveys, respectively. Of 22 possible research priorities, four were rated high priority with consensus, including: evaluating the efficacy and effectiveness of interventions in place, improving existing interventions for sustainability, and clinical and public health research to advance existing knowledge to develop new capacities. Of the 93 measures and indicators proposed, 15 achieved consensus with an additional nine measures having high medians, but greater variance.Conclusions: This first effort suggests a wide range of research priorities within the group, but also broad agreement on a few core implementation research priorities. There is currently limited agreement on core indicators/measures for implementation studies and additional work is needed. The results provide a starting point for further development of common measures for implementation research in lifestyle interventions for cardiometabolic conditions.
Alkaline all iron redox flow battery with a polyethylene/poly(styrene-co-divinylbenzene) interpolymer cation-exchange membrane

This work describes the suitability of a polyethylene styrene–DVB based interpolymer cation exchange membrane for use in a highly alkaline redox flow battery (RFB) with a [Fe(TEA)OH]2−/[Fe(TEA)OH]− and Fe(CN)63−/Fe(CN)64− redox couple. The alkaline stability of the membrane for 1440 h was evaluated in 5 N NaOH containing a 200 mM Fe(CN)63−/Fe(CN)64− redox couple. It was assessed according to the changes in the electrochemical and physicochemical properties. The performance of the membrane was evaluated over 40 charge–discharge cycles at a current density of 5 mA cm−2 current in a designed RFB cell. The obtained average coulombic efficiency (CE) was 92%, energy efficiency (EE) was 75%, voltage efficiency (VE) was 82% and volumetric efficiency was 34%. Under identical experimental conditions, the values of CE, EE, and VE for Nafion®-112 were 99%, 75%, and 76%, respectively. These results indicate the suitability of the polyethylene styrene–DVB based interpolymer cation exchange membrane for use in an alkaline RFB.
Control of an Ultracapacitor-based Energy Storage System for Source and Load Support Applications

This paper presents a simple pulse width modulation algorithm for control of an ultracapacitor based energy storage system used for source and load support applications. As opposed to dual loop control philosophy that is widely used for backup applications, this paper presents a simple single loop current control that is only useful for controlling the ultracapacitor based DC/DC converters used in source and load support applications. The proposed PWM blocking method necessitates the DC/DC converter to operate in five states and takes into consideration the essential operational limits associated with the ultracapacitors. The performance of the proposed algorithm is verified experimentally using a 24V laboratory prototype setup. Further, the shortcomings of dual loop control when applied to source and load support applications are demonstrated.
“Silent” circulation of Trypanosoma spp. in Tabanids (Diptera: Tabanidae) and Cattle in a Tsetse free Range land of Ngaoundere (Adamawa-Cameroon)

The Adamawa region falls within the tsetse belt of Cameroon but harbours isolated pockets of tsetse free range lands like Ngaoundere. There is no report on the occurrence of tsetse and bovine trypanosomosis in Ngaoundere. To provide information on this subject, two Vavoua traps were used to trap vectors of bovine trypanosomiasis and at the same time, blood was collected from cattle. Genomic DNA was extracted from buffy coat of cattle blood (n=42) and biting flies (n=53). The nested PCR was used to screen the samples for Trypanosoma spp. During the 14 days of trapping in November and December 2017 in Ngaoundere, 127 flies were documented and classified under two taxa: Tabanidae and Stomoxyini. Three Trypanosoma spp. DNA was isolated from tabanid (18.9%) samples and identified as T. theileri, T. vivax and T. evansi and two of them that is T. theileri (4%) and T. vivax (3%) were also detected in cattle (7%). There was no case of trypanosome DNA isolated from all the screened Stomoxyini. This result indicates the “silent” transmission of T. theileri and T. vivax by tabanids in the absence of glossines in Ngaoundere.Keywords: Trypanosomes, tabanids, stomoxyini, PCR, Ngaoundere, Adamawa-Cameroon.
Highly Stable Low Power Radiation Hardened Memory-by-Design SRAM for Space Applications

In space, due to high energy particles, which cause single event upsets (SEUs), the traditional 6T SRAM cell becomes more susceptible to soft-error. In order to address this, a radiation hardened memory-by-design 10T (RHMD10T) SRAM cell is proposed in this brief. The relative strength of RHMD10T is estimated by comparing it with other contemporary cells such as QUATRO10T, QUCCE10T, QUATRO12T, QUCCE12T, NS10T and PS10T over various major design metrics. RHMD10T exhibits $1.09\times / ~1.16\times / ~1.26\times $ shorter read delay than QUCCE10T/ QUATRO10T/ NS10T. RHMD10T has the highest read stability and can tolerate the highest amount of critical charge than all other comparison cells. RHMD10T consumes the lowest hold power than all other comparison cells, except NS10T. In addition, RHMD10T is the least susceptible to SEU, except QUCCE12T. All these aforementioned improvements of RHMD10T are obtained at a cost of slightly longer write delay and lower write ability.
Measurement-Based Fast Coordinated Voltage Control for Transmission Grids

The increasing integration of utility-scale renewable energy sources (RESs) brings emerging challenges to the classical problems of voltage control in transmission grids, including increased potential for voltage violations. To address this challenge, we present a novel measurement-based coordinated voltage control scheme that can enable fast participation of RESs. In this approach, RESs are coordinated with the traditional voltage control devices such as synchronous generators (SGs) and static var compensators (SVCs) to maintain all bus voltages within operational limits while respecting device power limits. The control scheme allows different priorities to be assigned to different control resources, and ensures that both voltage and reactive power constraints are met in steady-state whenever it is possible to do so. The controller design requires only an approximate model of the steady-state relationships between voltage and reactive power in the system, and in online operation, processes voltage and reactive power measurements to produce set-point updates for RESs, SVCs, and SGs; this feedback provides robustness against both model uncertainty and unmeasured disturbances. The feasibility and effectiveness of the controller is demonstrated via simulation case studies on a detailed power system model.
The environmental impact of lightweight HCPV modules: efficient design and effective deployment

We present a life cycle analysis of a lightweight design of high concentration photovoltaic module. The materials and processes used in construction are considered to assess the total environmental impact of the module construction in terms of the cumulative energy demand and embodied greenhouse gas emissions, which were found to be 355.3 MJ and 27.9 kgCO2eq respectively. We consider six potential deployment locations and the system energy payback times are calculated to be 0.22–0.33 years whilst the greenhouse gas payback times are 0.29–0.88 years. The emission intensities over the lifetimes of the systems are found to be 6.5–9.8 g CO2eq/kWh, lower than those of other HCPV, PV and CSP technologies in similar locations. Copyright © 2016 John Wiley & Sons, Ltd.
Seamless climate change projections and seasonal predictions for bushfires in Australia

Spatio-temporal variations in fire weather conditions are presented based on various data sets, with consistent approaches applied to help enable seamless services over different time scales. Recent research on this is shown here, covering climate change projections for future years throughout this century, predictions at multi-week to seasonal lead times and historical climate records based on observations. Climate projections are presented based on extreme metrics with results shown for individual seasons. A seasonal prediction system for fire weather conditions is demonstrated here as a new capability development for Australia. To produce a more seamless set of predictions, the data sets are calibrated based on quantile-quantile matching for consistency with observations-based data sets, including to help provide details around extreme values for the model predictions (demonstrating the quantile matching for extremes method). Factors influencing the predictability of conditions are discussed, including pre-existing fuel moisture, large-scale modes of variability, sudden stratospheric warmings and climate trends. The extreme 2019–2020 summer fire season is discussed, with examples provided on how this suite of calibrated fire weather data sets was used, including long-range predictions several months ahead provided to fire agencies. These fire weather data sets are now available in a consistent form covering historical records back to 1950, long-range predictions out to several months ahead and future climate change projections throughout this century. A seamless service across different time scales is intended to enhance long-range planning capabilities and climate adaptation efforts, leading to enhanced resilience and disaster risk reduction in relation to natural hazards.
Pd Supported on Carbon Nitride Boosts the Direct Hydrogen Peroxide Synthesis

Herein, the development of an improved Pd on carbon nitride catalyst for direct H2O2 synthesis from the elements is reported. Microcalorimetric CO chemisorption is used to characterize the chemical speciation of the Pd-selective and -unselective sites. Selectivity trends among the samples suggest that a bare metal surface with a differential heat of CO chemisorption ranging between 140 and 120 kJ mol–1 is responsible for the total O2 hydrogenation, while a maximum threshold value of differential heat of CO chemisorption of approximately 70 kJ mol–1 is necessary for the partial hydrogenation of O2 to H2O2. Such a low differential heat of CO chemisorption indicates a low exposed metallic Pd surface subjected to electron withdrawal from the surrounding ligands: i.e., the N functional groups on the carbon support. With respect to N-containing carbon nanotubes, carbon nitrides provide the following: a higher concentration of N sites, a flexible network of π-conjugated polymeric subunits with sp3 linking subuni.
The theory of emerging adulthood: parents’ experience of their child’s transition to college

ABSTRACT The transition to college is a critical determinant of student success in higher education. Increasingly, students’ parents play a key role in supporting their sons and daughters as they adjust to the academic and social demands of university. However, little research has been conducted into parents’ experiences of their child’s transition to college. Arnett’s theory of emerging adulthood is concerned with the developmental stage typically associated with students. Parents of university students were invited to describe the challenges faced by students in the transition to college. Quantitative and qualitative data were elicited on the parents’ experiences of students’ transition to higher education. A survey was conducted, and participants were interviewed at key points during one academic year. Parents reported struggling with changes in their home and family life during this phase. They expressed mixed and complex views on the adult status of their children. They also sought direct communication and guidance from the university to support more effectively their child during the transition process. The findings of the study are discussed in the light of Arnett’s theory of emerging adulthood and implications are highlighted in this regard. Recommendations are made regarding transition planning, effective communication with parents and the provision of academic and personal support systems to facilitate the successful transition of students to college.
Parameter Optimization of ASSAB XW 42 Tool Steel on End Milling Process with MQCL Using Taguchi-WPCA

Determination of a combination of process variables that are not appropriate in the end milling process will result in high surface roughness and can reduce the metal removal rate. Therefore, it is necessary to adjust the end milling process variables with the appropriate minimum quantity cooling lubrication. This study aims to obtain a combination of end milling process variables on ASSAB XW-42 material using the Taguchi-WPCA method to minimize arithmetic roughness (Ra), quadratic roughness average (Rq), and average roughness from peak to valley (Rz), and maximize metal removal rate (MRR) simultaneously. The cooling fluid method used is the minimum quantity of cooling lubrication (MQCL). The end milling process variable that is varied is the cutting fluid (soluble oil and vegetable oil), spindle speed (178 rpm, 310 rpm, and 570 rpm), feed rate (33.5 mm / minute, 59.4 mm / minute and 111.9 mm / minute) and the cutting depth (0.125 mm, 0.25 mm and 0.5 mm). The cutting tool used in this study is solid carbide end mill having four cutting edges with a diameter of 10 mm. The experimental design of the L 18 orthogonal array was used in this study. The results showed that the optimal roughness of the workpiece surface and metal removal rate (MRR) was given by vegetable oil cutting fluid, 570 rpm of spindle speed, 33.5 mm / minute of feed rate, and 0.25 mm of the cutting depth. The Cutting fluid, spindle speed, and feed rate have a significant effect on the response variables observed simultaneously.
Estimation of Drought Indices for Assessing the Impact of Climatic Variables on Groundwater Fluctuation over Upper Bhima Sub Basin

Groundwater is an essential part of the hydrological cycle. The ultimate source of the groundwater is precipitation that occurs over the surface of the earth. Stress condition in groundwater reflects the vulnerability of drought events. In areas with ample soil moisture and without irrigation facilities, groundwater abstraction eventually leads to a decrease in agricultural yield. For the assessment of groundwater fluctuations, hydrological drought indices play a significant role in drought conditions. In Upper Bhima sub-basin, maximum area is under scarcity zone and partly under assured rainfall zone (Western part) and partly in transition zone I & II (Western part) with average annual rainfall of 690 mm. In the present study, standardized precipitation index (SPI), standardized precipitation evapotranspiration index (SPEI) and standardized water level index (SWI) is used to assess meteorological and hydrological drought conditions respectively. As SWI reflects aquifer stress, it is also used to understand groundwater decline and recharge in the present study region. SPI and SPEI are estimated by using precipitation and temperature data for yearly aggregated time scale, while SWI is obtained by normalising groundwater level data. Precipitation and temperature data are obtained from gridded reanalysis data product of NCEP – CFSR (spatial resolution approx. 38 km) for the period of 2002-2014. Groundwater level data is obtained from Central Ground Water Board for the period of 2002-2016. Spatio-temporal map of SPI, SPEI and SWI has been generated. No direct linear relationship has been observed between SPI and SWI; and between rainfall and SWI over the region. Hence, topography, aquifer properties, soil type and lithology may affect groundwater fluctuation in the region.
Genome Wide Analysis of Citrus sinensis Heat Shock Proteins

Background: Plant and animal cells possess a ubiquitous protein known as heat shock proteins (HSPs). Hsps were originally described in relation to heat shock and against abiotic and biotic stresses. Heat shock protein was classified in other crops on the bases of single classes or all classes but in Citrus sinensis Hsps groups, classes, subfamilies and members were not classified and characterized up to our knowledge. Objectives: Present study was focused on the identification and grouping of C. sinensis Hsps (CsHsps) classes, members among classes, their phylogenetic relationship, gene structure, conserved motifs and identification of proteins by using bioinformatics tools and analyses. Materials and Methods: Genomic, Peptide and CDS sequences of CsHsps were downloaded from phytozome. MEGA 7 used for the phylogenetic analysis, GSDS for gene structure, UGENE for the multiple sequence alignment and MEME suite for the conserved motif analysis. Results: The genome size of C. sinensis was 367 Mb, Chromosome number (2n)18, having 151 Hsps with six groups CsHsp10, 20, 40, 60,70 and 90. CsHsp20 was the largest group having 54 members, followed by CsHsp60 and CsHsp70 both having 30 members respectively. Conclusion: CsHsps members within a class shared more similar gene and protein structure. CsHsp 60, CsHsp 70 and CsHsp90 shared more conserved and similar amino acid pattern. Each class had some important proteins such as Cpn in CsHsp10, Hypothetical proteins in CsHsp20 and 40, Dnak in CsHsp60, Molecular chaperone in CsHsp70 and Hsp90 in CsHsp90. These proteins are produced by cells in response to stresses in citrus. Chaperonins and some hypothetical proteins identified in CsHsps, help in ATP synthesis and protein degradation. This is genome wide analysis and classification sets the groundwork for future investigations to fully characterize functionally the Citrus Hsps families and underscores the relevance of Hsps response to abiotic and biotic stresses in Citrus.
A film approach for the stabilization of gelatin preparations against cross-linking

The authors present an approach for reducing or eliminating pellicle formation in gelatin preparations. The methodology involves an effective crosslinking-reducing combination of glycine and citric acid during the preparation of the film mass or solution, as opposed to the traditional method of incorporating these substances in the fill of hard-gel capsules. The optimized concentrations of the stabilizer combination needed to generate stable soft- and hard-gelatin films are reported.
Research and Implementation of Seq2Seq Model Chat Robot Based on Attention Mechanism

With the continuous development of deep learning technology, computers can not only understand the natural language input by users, but also reply to the sentences used for input. This paper designs an intelligent chat robot based on Attention mechanism and Seq2Seq model. It uses jieba word segmentation tool and Word2vec to convert sentences in corpus into semantic vectors, and then trains and tests the model through TensorFlow platform. The experiment compares whether the Attention mechanism is added or not, and proves that the model added with Attention mechanism has better effect than the traditional Seq2Seq model, and performs better in actual dialogue.
Influential Factors to Financial Management in Chegutu District Secondary Schools of Mashonaland West Province, Zimbabwe

The study explored factors that influence financial management in Chegutu District Secondary Schools of Mashonaland West Province, Zimbabwe. The study was stimulated by the serious financial challenges in secondary schools as characterised by failure to follow laid down procedures, disagreements, inadequate training and lack of knowledge by both school heads and SDC members in managing finances. The interpretive paradigm and qualitative approach guided the study. A case study design was adopted and purposively sampled participants constituted five school heads, five School Development Committee chairpersons, five School Development Committee treasurers and five school bursars. Thematically analysed data was collected through semi-structured interviews and document analysis. The findings revealed that manuals and policy circulars influence the way schools formulate their budgets as they give clear steps that should be followed. It also emerged from the study that the school finance committee is responsible for drawing the school budget after consultation with other stakeholders. It was found that training of school heads, School Development Committee members and bursars influence financial management to a larger extent and there is a very strong relationship between financial management training and effectiveness of financial management in secondary schools. The study concluded that good working relationship among stakeholders and lack of knowledge by both school heads and School Development Committee members in managing school finances greatly influence the way they execute their duty of managing school finances. The study recommends further research that explores strategies that can be established for improving the way schools manage finances.
Mediating Effect of Secondary Traumatic Stress and Compassion Satisfaction on the Association Between Stress and Burnout: the Korea Nurses’ Health Study

BackgroundNurses’ burnout is a public health epidemic around the world that adversely affects nurses’ quality of life as well as the patient's outcomes. In this study, we aim to test a hypothetical path model evaluating the influence of stress on nurse's burnout and to identify the mediating effects of secondary traumatic stress (STS) and compassion satisfaction (CS) among clinical nurses in South Korea. MethodsA quantitative, cross-sectional study evaluated the survey data from 10,305 female registered nurses who participated in the Korea Nurses’ Health Study (KNHS) Module 5. The survey included a demographic questionnaire and the Professional Quality of Life version 5 (ProQOL 5). Bootstrap analyses (using the PROCESS macro) was employed to evaluate the mediating effect between variables. ResultsStress was significantly associated with burnout and mediated by STS and CS. In addition, the magnitude of the indirect effects of CS was significantly greater than the magnitude of the indirect effects of STS. The findings of this study showed the positive aspect (CS) of work experiences might offset the negative aspects (STS), consequently reducing the burnout level. ConclusionsOur study findings suggest that a multidimensional approach to assessing nurse burnout and implementing proper management will help to improve quality of life for nurses and help maintain positive attitudes and quality of patient care.