bluuebunny/crossref_metadata_2025_split huggingface dataset:
V2PFQL: A proactive fault tolerance approach for cloud‐hosted applications in cloud computing environment
Authors: Bui Thanh Khiet , Tran Cong Hung , Pham Tran Vu 
Published: July 2022

AbstractProactive Fault tolerant (FT) approaches for infrastructure's cloud computing which have been increasingly developed in research scope with the support of machine learning need consistent monitoring and highly accurate predicting systems. However, it is difficult to implement the proactive fault tolerant approach of infrastructure's cloud computing because of complex architecture, dynamic services, and many interdependent factors existing in cloud environment. To overcome this problem, a proactive FT approach for cloud‐hosted application is proposed to achieve a high degree of automation, including physical machine (PM) fault analysis and self‐learning virtual machine (VM) migration. It is based on MAPE‐K (Monitor‐Analyze‐Plan‐Execute over a shared Knowledge) loop to take into account the knowledge inside controllers in run time. To evaluate PM fault analysis model, the web e‐Commerce is deployed by OpenStack Stein while the prototype of VM migration component is built by CloudSim for VM migration solution evaluation. The effectiveness of the approach is demonstrated in experiment results.
An isolated modular multi‐level AC/AC converter with high‐frequency link and pulse flip circuit for fractional frequency transmission system application
Authors: Meng Yongqing , Kong Ying , Li Jin , Jia Feng , Wang Xiuli , Wang Xifan 
Published: July 2022

AbstractBased on the modular topology and the traditional voltage‐sourced converter (VSC) model, this paper presents an isolated modular multi‐level AC/AC converter with high‐frequency (HF) link and pulse flip circuit for fractional frequency transmission system (FFTS) application. The proposed converter uses the HF transformer to realize electrical isolation, omitting the industrial frequency (IF) transformer with large volume and heavy weight. In the primary side of the HF transformer, the power transmission is realized by the rectifier and the inverter. In the secondary side of the HF transformer, the double H‐bridges are used to realize the natural freewheeling of the leakage current, which solves the problem of voltage overshoot. On the basis of carrier phase‐shifted pulse width modulation (CPS‐PWM), an improved modulation strategy is proposed to realize the HF output voltage of the inverter. It has the advantages of easy expansion, no circulation current, good output voltage quality, low cost and no need of offshore converter station, so it has great potential in the field of offshore wind power grid connection. The working principle, natural freewheeling modes, modulation method and overall system control scheme of the proposed topology are introduced in detail, and the feasibility of the proposed topology is verified by simulation in MATLAB/Simulink environment and test through APPSIM platform.
Anti‐misalignment and lightweight magnetic coupler with H‐shaped receiver structure for AUV wireless power transfer
Authors: Qiao Kangheng , Sun Pan , Rong Enguo , Sun Jun , Zhou Hang , Wu Xusheng 
Published: July 2022

AbstractInductive power transmission technology provides a new way to solve the energy problem of autonomous underwater vehicles (AUVs). The performance of the magnetic coupler determines the system transfer capacity. A novel open‐type magnetic coupler with a simple structure, lightweight, strong anti‐misalignment performance and high self‐inductance stability is proposed for the arc‐shaped shell of AUV. The proposed magnetic coupler employs an arc‐shaped transmitter and the receiver uses an H‐shaped ferrite core to realize the close coupling of magnetic flux in the vertical direction. The parameters of the magnetic coupler are optimized based on ANSYS Maxwell simulation, which ensures its coupling performance and anti‐misalignment performance while minimizing the volume and weight of the receiver. To verify the proposal, a wireless charging system with a 183.9 g receiver is built. The maximum self‐inductance change rate of the coil and maximum coupling coefficient change rate under the conditions of axial misalignment from −25 mm to 25 mm and rotational misalignment from −10° to 10° are 2.9% and 14.3%, respectively. In the case of full alignment, it can deliver 735.6 W at a DC‐DC efficiency of 90.87%.
Public Health und Partizipation von Expertinnen und Experten aus
Erfahrung in Österreich: erste explorative Erhebung
Authors: Rojatz Daniela , Wahl Anna 
Published: July 2022

ZusammenfassungPartizipation ist ein Grundprinzip der Gesundheitsförderung und der
Public Health. Bürger- und Patientenbeteiligung im Gesundheitswesen gilt
in Österreich als wenig ausgeprägt und die bestehende Praxis als
wenig sichtbar. Durchgeführt wurde eine explorative Online-Erhebung
unter Mitgliedern der Österreichischen Gesellschaft für Public
Health. Ziel ist es, erste Hinweise auf den Status Quo von Partizipation von
Expertinnen und Experten aus Erfahrung („Betroffenen“) in
Forschung, Strategieentwicklung und Praxis zu ermitteln. Es wurden 29
Organisationen identifiziert, die partizipativ bzw. zu Partizipation arbeiten.
Die erhobene Partizipationspraxis erwies sich als methodisch vielfältig.
Die Orientierung an Partizipationsmodellen kann als kleinster gemeinsamer Nenner
eine Grundlage für weiteren Austausch und gemeinsames Lernen von
Partizipation bieten.
Outcomes of Combined Visual and Auditive Stimulation on Functions of Hand and Grip Strengths in Patients with Hemiplegia
Authors: Baishya Bhaswati , Varathan Kalidasan 
Published: July 2022

Abstract
Background Stroke is a major ailment that results from hypoxia, ischemia, blockage, or hemorrhage. The recovery of hand functions is an essential goal in stroke patients' recovery.
Aim This study aimed to analyze the outcomes of rhythmic auditory stimulation (RAS) and mirror therapy on hand functions, as well as grip strength, in stroke patients.
Materials and Methods A quasiexperimental study has been used based on criteria of inclusion, 30 patients were enrolled. The participants were assigned to two groups, 15 patients each. Group A (control group) underwent traditional physiotherapy. Group B (experimental group) underwent RAS and mirror therapy. Both the groups received 20 minutes of treatment, 20 sessions in 1 month. The Action Research Arm Test (ARAT) and hand-held dynamometer were used to evaluate results. Paired t-test has been used to analyze the data with the SPSS software tool.
Results The paired t-test results showed that notable distinctions in ARAT mean pretest scores between two groups were not found. A notable change in ARAT results was present between the two groups with mean posttest score and difference in pretest to posttest. No notable distinctions in grip strength results were seen with mean pretest results. But a notable change was found in grip strength results among two groups with mean posttest scores.
Conclusion Combining RAS and mirror therapy programs has shown beneficial effects on hand functions, as well as grip strength of stroke patients and can be used as adjunct interventions along with conventional physiotherapy to encourage restoration of hand functions in hemiparetic patients.
Health Economics and Equity in Preconception Health Care: A Systematic Review
Authors: Carrandi Alayna , Bull Claudia , Callander Emily 
Published: July 2022

AbstractPoor pregnancy outcomes affect a child's lifelong health and disadvantaged populations are at higher risk of poor pregnancy outcomes. Preconception care aims to improve pregnancy outcomes by managing conditions and risks prior to conception. Given known inequities in pregnancy outcomes, the adoption of preconception care may benefit disadvantaged populations. Health economics plays an important role in the implementation of interventions, as economic evaluations seek to identify the most efficient and equitable care options. This review aimed to identify the cost-effectiveness of preconception care and how equity has been considered in these evaluations. A systematic review of literature published between 2012–2022 was undertaken to identify studies that evaluate the economic outcomes of preconception care. Studies that met the inclusion criteria were manually searched for consideration of equity in the economic evaluation analysis. Costs were presented and a narrative synthesis of studies reporting on outcomes of equity was conducted. Eight studies met the inclusion criteria, and only two reported on aspects of equity, specifically ethnicity. Considering the significant disparities in pregnancy outcomes among disadvantaged populations, aspects of equity are important to consider when implementing and evaluating preconception interventions. Therefore, it is recommended that future research focuses on the cost-effectiveness of preconception care and that these evaluations incorporate aspects of equity.
Transformation of ZnS microspheres to ZnO, their computational (DFT) validation and dye-sensitized solar cells application
Authors: Waghadkar Yogesh , Shinde Manish , Tripathi Nilakantha , Pujari Bhalchandra , Bute Madhushree , Tamboli Ashif , Suzuki Norihiro , Fouad Hassan , Terashima Chiaki , Choi Hyosung , Rane Sunit , Chauhan Ratna , Gosavi Suresh , Fujishima Akira 
Published: July 2022

ZnO spheres were synthesized by solid state oxidation of ZnS microspheres at different oxidation temperatures of 600 and 700 °C in an ambient atmosphere. The high temperature transformation of ZnS microspheres into hexagonal structured and highly crystalline ZnO microspheres comprising interconnected nanoparticles facilitating efficiently electron transport as well as charge collection through an intended path in the solar cell. The comparative physico-chemical and photovoltaic studies were done for synthesized ZnO microspheres. The structural study by x-ray diffraction of ZnO confirmed the hexagonal ZnO; the UV–Visible spectroscopy study showed λmax varying from 410 to 413 nm and 397 to 407 nm for ZnO microspheres synthesized by heating at 600 and at 700 °C, respectively. Additionally, crystalline and electronic structures were validated by density functional theory studies. The computational studies also revealed growth of hexagonal ZnO, where the bandgap varied with the oxidation temperature. The photovoltaic properties of ZnO microspheres synthesized at 600 °C exhibited better performance than the ones synthesized at 700 °C due to high surface roughness leading to enhanced dye loading and favorable charge collection. Dye-sensitized solar cells fabricated from ZnO microspheres synthesized at 600 and 700 °C exhibited the maximum power conversion efficiency of 3.38% and 3.06% correspondingly.
Working memory tasks in interpreting studies
Authors: Ghiselli Serena 
Published: July 2022

Abstract
Studies about working memory (WM) and interpreting have used a variety of methods and results are often
conflicting. There is therefore the need to analyse the cognitive tasks which have been used so far to assess their effectiveness
in detecting WM performance differences. This paper presents the findings of a meta-analysis that compares the results of
interpreters and interpreting students (study group) to the results of non-interpreters (control group) in four cognitive tasks
(reading span, n-back task, listening span and dual tasks). Interpreters show a significant WM advantage of medium size over
non-interpreters in tasks based on verbal stimuli, but not in tasks based on non-verbal stimuli. In addition, differences are
larger when there is a wider gap in interpreting expertise between the two groups.
Effectiveness of PNL technique in disaster damage assessment: evidence from selective case studies
Authors: Dave P , Pasari S 
Published: July 2022

Abstract
Natural disasters often cause large scale infrastructural damage and disruption of services. In such cases, a rapid damage assessment technique might prove beneficial to assist the disaster management efforts. Percent of normal light (PNL) can be one such technique. In this study, we test the effectiveness of PNL technique in rapid damage assessment from four selected case studies, namely the 2014 cyclone Hudhud, 2015 Gorkha (Nepal) earthquake, 2016 Central Italy earthquake, and the 2018 flood in Kerala. The dataset used has been taken from the Visible Infrared Imaging Radiometer Suite–Day/Night Band (VIIRS-DNB) scan data from the Joint Polar Satellite System (JPSS-1). The change in radiance values from the VIIRS-DNB dataset enables PNL computation to map the disaster affected regions. The results depict that PNL can be a viable alternative for rapid damage assessment.
Machine learning algorithms in geostatistical data analysis: formulation and observation
Authors: Pasari S , Asudani P , Mehta A 
Published: July 2022

Abstract
Geostatistical analyses on spatiotemporal datasets have been increasingly popular on diverse disciplines including environmental sciences, soil and earth studies, meteorology, hydrology, and oceanography. They help in documenting and summarizing information to understand the variation of the process and other parameters. Due to high spatial variability and noise in the dataset, traditional geostatistical tools often fail to produce desirable results. In view of this, the present study proposes two machine learning methods, namely artificial neural network (ANN) and k-nearest neighbour (kNN), along with the kriging interpolation to derive temporal distribution of soil parameters. Results in terms of smooth porosity maps demonstrate the effectiveness of the proposed algorithm.
Application of Hybrid Support Vector Machine model for Streamflow Prediction in Barak valley, India
Authors: Sahoo A , Ghose D K 
Published: July 2022

Abstract
Forecasting streamflow (Qflow) is vital in flood and water management, determining potential of river water flow, agricultural practices, hydropower generation, and environmental flow study. This research aims to explore capability of hybrid support vector machines (SVM) with Whale Optimisation Algorithm (WOA) model for forecasting streamflow at Badarpur Ghat gauging station of Barak river basin and evaluate its enactment with the conventional SVM model. Root mean squared error (RMSE), mean absolute error (MAE), and Nash-Sutcliffe efficiency (NSE) statistical measures are considered as evaluating standards. Assessment of outcomes indicates that the optimization algorithm could enhance the accurateness of standalone SVM model in monthly streamflow forecasting. Compared to conventional artificial intelligence methods without a data pre-processing system, the comparatively good performance of applied hybrid model gives an effective alternate to achieve better precision in streamflow forecasting. Results confirm that enhanced SVM model can better process a multifaceted hydrogeological data set, have higher prediction accuracy, and possess better generalisation capability.
Evaluation of a Preliminary Support Design of Railway Tunnel Adit in Inner Lesser Himalaya India: An Empirical Analysis
Authors: Azad Md Alquamar , Singh Neelratan , Singh S K , Alok Apurva 
Published: July 2022

Abstract
This article addresses the excavation method and support design for the adit tunnel in the Rudraprayag District, Lesser Himalayas of India, using Rock Mass Rating (RMR), Tunneling Quality Index (Q), and New Austrian Tunneling Method (NATM). Based on ONORM B 2203 correlations with RMR and Q systems, the New Austrian Tunneling Method rock structure classes were developed. Because the geology was constantly changing, NATM concepts were applied. The RMR-based rock mass estimates were overestimated, but the qualitative investigation was correct. The NATM method is more appropriate for a Garhwal Himalayan rock with varying rock mass uncertainty. The present adit research reveals several outstanding questions about rock mass quality, tunnel behavior during construction, and use. The analysis results might be used to build new tunnels in comparable terrain in other parts of the world.
Groundwater quality assessment and its insinuations in some parts of Aheri taluka dist. - Gadchiroli, Maharashtra
Authors: Peddiwar S T , Ingole D K , Nimbarte G R 
Published: July 2022

Abstract
Aheri tehsil of Gadchiroli district in the Indian state of Maharashtra is located on the bank of the Pranhita River, a side stream of the Godavari River. In the present study, total five villages from Aheri taluka were selected to collect groundwater samples. A total number of 25 samples were collected, where five samples represent each village. This study is concerned with physicochemical parameters mainly electrical conductivity, total dissolved solids, temperature, chloride, fluoride, total hardness, pH, nitrate, alkalinity, iron and turbidity to analyse groundwater quality. Out of 25 samples, eight samples of water were detected to be unfit for consumption. Hence, some remedial measures are suggestible. The study revealed the associations among all physicochemical parameters by correlation coefficient analysis.
Characterization of coke plant effluent by lysimeter test to evaluate safe disposal to land
Authors: Kumar Nikhil , Naik H K , Mishra Lipsa , Jena S 
Published: July 2022

Abstract
The importance of coal carbonization industries is evolving with great interest from the national point of view. In coke ovens, naturally found coal is converted to coke suitable for metallurgical industries. Enormous quantities of liquid effluents produced contain suspended solids high in COD, BOD, phenols, ammonia, and other toxic substances disposed into the water bodies without proper treatment contamination of the aquatic ecosystem. A large coke plant of Steel Authority of India Limited (SAIL) at Rourkela Steel Plant (RSP) has been surveyed for this purpose, and the impact of its effluent on surface water quality is discussed in this paper. The study found that concentrations of BOD, COD, total suspended, and dissolved solids have exceeded the tolerance limit as per I.S.: 2490 effluent water standard (inland surface water). Column lysimeters were prepared by collecting soil from the National Institute of Technology (NIT) campus, Jhirpani riverside, Mandira Dam side, putting it layer-wise into a column, and compacting it carefully to put on the original in-situ conditions. Raw effluents, diluted effluents, and water (as a blank) were applied to the three lysimeters twice a week with a 5cm inundating. The impact of raw and diluted effluent on groundwater quality and soil is also studied and discussed in this paper. The study found that the RSP soil sample and NIT campus soil sample were found more efficient for the disposal of effluents, and it is estimated that 2.73 hectares of land can be irrigated with effluents of the coke plant without deteriorating groundwater and soil quality.
Landuse/landcover monitoring and spatiotemporal modelling using multilayer perceptron and ‘multilayer perceptron’-Markov Chain ensemble models: A case study of Dausa City, Rajasthan
Authors: Soni Sangeeta , Singh Harvir , Qurashi Jameel , Shuja Mirza , Pandey Manish , Arora Aman 
Published: July 2022

Abstract
The present work is an attempt to the LULC classification, monitoring, and spatiotemporal prediction using Artificial Neural Network - Multi-Layer Perceptron (MLP) and MLP-Markov Chain (MC) models. Dausa city and its surroundings of Rajasthan, India has been selected for this study for several reasons including arid climatic setting being a sensitive precursor to the climate change scenarios and the huge population pressure experienced by the area. The MLP based supervised classification for two periods 2001 and 2018 have been analyzed using Landsat 7 Thermal Mapper (TM) and Landsat 8 OLI satellite images. The images were classified into six LULC categories viz. Built-up (Settlements), Cultivated Lands (Agricultural/Cropland), Water Body, Uncultivated/Fallow Lands, Barren Lands, and Forest/Vegetation cover. The accuracy assessment for both classified images was performed using confusion matrix led Kappa Coefficient (K) technique. Reasonable accuracies, K=0.82 (2001) & K = 0.91 (2018), have been achieved for datasets selected for both periods of time. The MLP-MC model based spatiotemporal LULC prediction for the year 2045, using the trends in the classified LULC results for the period 2001-2018, prophecies that the ‘built-up land’ would increase to reach 76.10 km2 (67.60% increase) in 2045 with the reference year 2001 whereas the increase in this class of LULC would only be 39.34% during the period 2018-2045. The ‘cultivated land’ (2001-2045: -83.86%; 2018-2045: -65.20%), ‘barren land’, (2001-2045: -54.70%; 2018-2045: -4.86%), ‘water body’ (2001-2045: -96.43%; 2018-2045: -84.42%), and ‘forest/vegetation’ (2001-2045: -81.94%; 2018-2045: -20.59%), categories would experience continuous areal decline over this period, though some at faster pace and other at comparatively lower rate. The projected unprecedented exponential increase in ‘follow land/uncultivated land’ (2001-2045: +372.45%; 2018-2045: +6.39%) presents worrisome future picture of this ecologically sensitive and fragile region. The results of this study indicate and warrant intensive management and policy, and local level participation of communities to help maintain the deteriorating ecological balance in this ecologically sensitive arid ecosystem with fragile agricultural and natural vegetation traits.
Noise Mapping during New Year Eve in selected residential zone of Raipur City
Authors: Kumar Vishal , Ahirwar A.V. , Prasad A.D. 
Published: July 2022

Abstract
Noise can be said to be invisible danger which present in our environment. Monitoring and mitigating of noise is very much important to build a health environment. This study mapped the noise levels increased during the New Year Eve 2022 of selected residential area of Raipur City. Increase in the levels of noise was seen during the Eve due to burning of crackers and use of loudspeakers during the celebrations. Five locations were selected for the study and noise map was prepared for pre and post New Year Eve 2022. From the map all the five locations showed higher noise levels (above 70dBA pre Eve and above 67dBA post Eve) than the prescribed limit (above 55 dBA day time and 45 dBA night time) of Central Pollution Control Board, New Delhi.
Estimation of crop water requirements within Wainganga sub-basin for Kharif and Rabi season using spatial analysis
Authors: Londhe Digambar S , Kapgate Mamta D , Katpatal Y B , Mukesh M S 
Published: July 2022

Abstract
In India, largest user of the water is agriculture sector is the, so it is important to do the proper management of available water. Aim of this study to estimate crop water requirements (CWR) for Kharif and Rabi seasons within Wainganga sub-basin by using remote sensing and GIS technique. For this, reference evapotranspiration (ET0) is estimated by using the Food and Agricultural Organization (FAO) Penman-Monteith method. Weather data from 8 weather stations has been collected to estimate ET0. The crop coefficient (KC) is estimated by using linear relationship with Normalized Difference Vegetation Index (NDVI). The MODIS NDVI dataset is used for calculation of crop coefficient. The effective precipitation (Pe) has been calculated to estimate CWR by using FAO recommended empirical method. The spatial variation maps for ET0, KC, actual evapotranspiration (ETa) and CWR are generated using Inverse Distance Weightage (IDW) interpolation technique in ArcGIS software. The results show that ET0 and ETa are higher in Kharif season than the Rabi season. The KC is also found higher in kharif than in rabi. Since the Pe is negligible in Rabi season, CWR in Rabi season is found to be higher than kharif season. The CWR in Rabi varies between 320 mm to 378 mm and in kharif season it varies between 94 mm to 263 mm. It is concluded that the seasonal estimation of CWR helps in understanding the peak water demand in that season in better way. It is required to provide sufficient irrigation to the crops in Rabi season especially as the agricultural production completely depends on the irrigation facilities in the study area because there is no rainfall in this season.