bluuebunny/crossref_metadata_2025_split huggingface dataset:
GIS-based approach qualitative features of sub-surface water from coastal district in Andhra Pradesh
Authors: Karnena Manoj Kumar , Konni Madhavi , Dwarapureddi Bhavya Kavitha , Satyanarayana Yalakala , Saritha Vara 
Published: February 2022

AbstractQuality of water, along Mandal headquarters of a coastal district of Andhra Pradesh, India, was assessed prior to and past rainfall season to determine water's acceptability for consumption using water quality index (WQI). The present work involved collecting groundwater samples from Mandal headquarters' locations present in the entire district. All the samples were analysed in a comprehensive way for ten physicochemical parameters, including pH, magnesium, calcium, chloride, sulphate, nitrates, total dissolved solids, fluoride, potassium, and sodium. The geographical information system was used for mapping sampling sites. The coordinates of sample collection areas were recorded employing GPS. Correlation matrices for cation–anion were illustrated and from the qualitative results of the samples. Results indicate that WQI prior and past-rainfall seasons ranged from 37.53 to 312.46; 42.04 to 211.89 in 2016, while for 2017, these were in the range of 25.01 to 137.06; 30.06 to 228.83. The present study's WQI values indicate that the water samples possess poor quality, and no fluoride contaminations were observed. The analysis suggests appropriate treatment of sub-surface water from the study site before consumption.
Assessment of groundwater potential zone for sustainable water resource management in south-western part of Birbhum District, West Bengal
Authors: Chatterjee Soumen , Dutta Shyamal 
Published: February 2022

AbstractWater is an indispensable natural resource for survival of any species in the globe. For centuries, civilization has flourished on the bank of river based on the easy availability of water. Groundwater is one of the prime sources of freshwater supply, but, its occurrence and spatial distribution are highly uneven and affected by several surface and subsurface features. Development of several geospatial tool based on the remote sensing and GIS in recent time helps immensely for delineation and management of this precious resource. The present study has been undertaken in south-western part of Birbhum district, West Bengal with an objective to delineate groundwater potential zone using multiple criteria decision analysis and GIS. Seven thematic layers concerning with geology, geomorphology, hydrology, land use land cover and edhaphic factor have been employed in this study with proper weightage depending on their role in groundwater formation to identify the groundwater potential zone. By using analytical hierarchy process, whole study area has been classified into four zones ranging from excellent to poor. Primary field data and secondary data about depth of groundwater have been compared with the result to make it authentic. The result shows that the southern part composed of alluvial plain has the excellent potential compared to the northern lateritic and pediment part where groundwater potential is moderate. Eventually, few recommendation and suggestion have been framed for sustainable water resource management that will help the researchers, planners and other decision-makers for judicious exploration and management of the groundwater resource in the study area.
Improved quantitative microbial risk assessment (QMRA) for drinking water sources in developing countries
Authors: Amatobi D. A. , Agunwamba J. C. 
Published: February 2022

AbstractThis study seeks to improve the QMRA of drinking water sources in the context of developing countries. Existing QMRA dose–response models were modified to use data generated from the developing country environment and scenarios. The modified model assessed drinking water borehole supplies in Afikpo North Local Government Area, Nigeria. Water samples were taken every three days from July 2019 to December 2019. They were assessed for concentrations of E. coli, Salmonella spp, Shigella spp, Campylobacter, Giardia lamblia and Cryptosporidium parvum. Other input parameters to the modified model were obtained in the study environment through survey instruments; they include per capita water consumption per day, % exposed population, % vulnerable population and pathogen strike rate. The daily mean risk of infection was determined to be 0.236, standard deviation, 0.056, while the daily mean risk of diarrhea was 0.039, standard deviation, 0.016. The predicted mean diarrhea risk values showed a positive correlations (C = 0.74) with the observed diarrhea disease prevalence rate among the study communities. Mean values of diarrhea risk obtained using the modified model were compared with those obtained using formulations adopted by some recent studies that used existing QMRA models in the developing countries. The mean risk values were further compared with values obtained by using other existing QMRA dose–response models/parameters. The study found no statistical significant difference in the predicted risk of diarrhea of the two types of models. The modification is intended to facilitate a better interest on and the acceptability of QMRA in the developing countries.
Seasonal quality of water sources indicated by Escherichia coli: a case of Elobied, North Kordofan state, Sudan
Authors: Edam Wesal , Abdelgalil Eltigani E. 
Published: February 2022

AbstractSudan is rich of water resources; however, the seasonal quality of water sources is largely unknown particularly in North Kordofan region. This study was designed to test the seasonal (winter, summer and autumn) quality of water sources in El Obied, North Kordofan State, Sudan. A number of 261 water samples (87 samples per season) were collected from Hafirs (excavated either by hand or machine and used for storage of surface water), Gerab (big water containers made from plastic and used to store water at homes), hand pumps, distribution network, households’ containers and elevated water tanks in 2014/2015. Membrane filtration technique was used to investigate water samples. Escherichia coli or E. coli count was performed according to WHO and Sudanese Standards and Measurement Operation. The results illustrated that all samples collected showed positive results of E. coli which indicate poor water quality in the region. Proportion of contamination was highest in Hafirs, Gerabs and household containers across seasons. Hafirs samples were 100% contaminated across seasons. In autumn, Gerab and household containers samples showed 60% and 58% contaminated samples. In the summer season, the results showed 54% of Gerab, and 50% of the households’ containers were contaminated. In winter season, prevalence of E. coli revealed that 67% of households’ containers and 58% of Gerabs samples were contaminated. Greater contamination (60%) of the water sources was indicated in autumn followed by (55%) in winter and (51%) in summer season. Results showed significant contamination of water sources across seasons. Results indicated that elevated water tanks and hand pumps (groundwater sources) were safe compared with surface water source. The study recommended regular test to water sources across seasons to protect human and animal life.
Why AI Ethics Is a Critical Theory
Authors: Waelen Rosalie 
Published: February 2022

AbstractThe ethics of artificial intelligence (AI) is an upcoming field of research that deals with the ethical assessment of emerging AI applications and addresses the new kinds of moral questions that the advent of AI raises. The argument presented in this article is that, even though there exist different approaches and subfields within the ethics of AI, the field resembles a critical theory. Just like a critical theory, the ethics of AI aims to diagnose as well as change society and is fundamentally concerned with human emancipation and empowerment. This is shown through a power analysis that defines the most commonly addressed ethical principles and topics within the field of AI ethics as either to do with relational power or with dispositional power. Moreover, it is concluded that recognizing AI ethics as a critical theory and borrowing insights from the tradition of critical theory can help the field forward.
Carter and Gaschütz theories beyond soluble groups
Authors: Arroyo-Jordá Milagros , Arroyo-Jordá Paz , Dark Rex , Feldman Arnold D. , Pérez-Ramos María Dolores 
Published: February 2022

AbstractClassical results from the theory of finite soluble groups state that Carter subgroups, i.e. self-normalizing nilpotent subgroups, coincide with nilpotent projectors and with nilpotent covering subgroups, and they form a non-empty conjugacy class of subgroups, in soluble groups. This paper presents an extension of these facts to $$\pi $$
π
-separable groups, for sets of primes $$\pi $$
π
, by proving the existence of a conjugacy class of subgroups in $$\pi $$
π
-separable groups, which specialize to Carter subgroups within the universe of soluble groups. The approach runs parallel to the extension of Hall theory from soluble to $$\pi $$
π
-separable groups by Čunihin, regarding existence and properties of Hall subgroups.
Optimization of the subcritical water treatment from sunflower by-product for producing protein and sugar extracts
Authors: Náthia-Neves Grazielle , Alonso Esther 
Published: February 2022

AbstractThis study proposes the valorization of sunflower by-product (SbP) using subcritical water treatment. For this purpose, a response surface methodology in a 3 × 3 Box–Behnken design was employed to study the effect of temperature (100–150 °C), extraction time (5–25 min), and solvent-to-feed ratio (10–20 g bidistilled water/g SbP) on the water-soluble compounds. The highest amount of glucose (5.7-mg/g raw material) and xylose (13.5-mg/g raw material) was obtained at 150 °C and solvent-to-feed ratio of 15 after 25 min of extraction. The highest amount of protein (133.5-mg/g raw material) was obtained at 150 °C and solvent-to-feed ratio of 20 after 15 min of extraction. The selected temperature conditions did not promote the formation of final degradation products such as furfural and 5-hydroxymethylfurfural (HMF). The extracts obtained in this study showed simultaneous recovery of free monomeric sugars that could be used for bioenergy or biochemical, proteins that could be used for food and pharmaceutical industries and phenolic compounds that could be used for food and nutraceutical applications.
Lifestyle impact on migraine during home confinement
Authors: Granato Antonio , Furlanis Giovanni , D’Acunto Laura , Olivo Sasha , Buoite Stella Alex , Manganotti Paolo 
Published: February 2022

Abstract
Background
The COVID-19 lockdown has influenced people lifestyle, behaviour, physical activity (PA), and working habits as well as, possibly, migraine. The aim of the study was to assess the impact of lockdown on the burden of migraine attacks during COVID-19 lockdown.

Methods
Patients were interviewed, and data about demographics, PA, daily behaviour, working habits, disability (HIT-6) and characteristics of migraine and drugs consumption were compared between the first month of the lockdown in Italy (March 2020), and a reference month prior the lockdown (January 2020).

Results
37 patients were analysed, classified as migraine without aura (MwoA) (n = 26) and migraine with aura (MwA) plus migraine with and without aura (MwA/MwoA) (n = 11). During the lockdown, a greater proportion of patients with insufficient PA (65% vs 31%; p = 0.012) were found. Reduced mean headache duration [3 h, (2–12) vs 2 h (1–8); p = 0.041] and HIT score [59 (51–63) vs 50 (44–57); p = 0.001] were found in MwoA patients during the lockdown, while no changes found in patients with MwA + MwA/MwoA.

Conclusions
Lockdown induced significant changes in PA and working habits of people with migraine and was found to be associated with improved migraine-related symptoms which might depend by different lifestyle habits.
Dual-surfactant templated hydrothermal synthesis of CoSe2 hierarchical microclews for dielectric microwave absorption
Authors: Cao Qi , Zhang Jie , Zhang Huibin , Xu Junzhou , Che Renchao 
Published: February 2022

AbstractCobalt diselenide (CoSe2) hierarchical clew-like structure is synthesized via a dual-surfactant templated hydrothermal process, and for the first time, its microwave absorption capability has been established. Specifically, the as-synthesized hierarchical interconnected structure is assembled by numerous dense nanobelts. Meticulous tuning of the synthetic conditions which could influence the hierarchical architecture indicates that, in this system, cetyltrimethylammonium bromide (CTAB) plays a dominate role of “balling” while protonated diethylenetriamine (DETA) plays the role of “stringing”. As a novel absorbent, the microwave absorption performance of CoSe2 microstructure is evaluated in 2–18 GHz band. Particularly, 3D hierarchical CoSe2 microclews exhibit superior minimum reflection loss of −26.93 dB at 7.28 GHz and effective absorption bandwidth of 3.72 GHz, which are ∼120% and ∼104% higher than those of simple CoSe2 nanosheets, respectively. Such drastic enhancement could be attributed to the large specific surface area, and more dissipation channels and scattering sites enabled by the unique clew-like microstructure. The versatile dual-surfactant templated assembly of hierarchical CoSe2 microstructure, along with its appreciable dielectric microwave absorption performance, provides new inspirations in developing novel microwave absorbents for mitigation of electromagnetic pollution.
SFM Interim Practice Recommendations for Zika Virus Infection in Pregnancy
Authors: Sharma K. Aparna , Sahani Bimal , Praveen T. L. N. , Rana Anubhuti , Seneesh K. V. , Gambhir Supriya , Krishnan Vivek , Vidyalekshmy Vidyalekshmy , Batra Meenu , Balakrishnan Bijoy , Khurana Ashok 
Published: February 2022

AbstractZika virus (ZIKV) belongs to the family of flaviviruses and is transmitted by mosquitoes of the genus Aedes (A. aegypti and A. albopictus). ZIKV infection in pregnancy can have serious implications on the fetus and the neonate. Vertical transmission to the fetus can occur irrespective of symptomatic or asymptomatic infection in the pregnant woman and the risk can persist throughout pregnancy. The exact frequency of maternal-to-fetal transmission of Zika virus is difficult to determine accurately. The greatest risk of serious fetal sequelae is seen if the infection occurs within the first and second trimester. However, they can also be seen with infections in the third trimester. This document describes the presentation, feto-maternal manifestations, role of prenatal Ultrasound in diagnosis of infection, testing methods and the management in pregnancy and screening in the neonatal period. In the absence of robust evidence as to the definite effects, this document is aimed at providing practice recommendations for the management of this infection.
Risk of non-alcoholic fatty liver disease in patients with chronic plaque psoriasis: an updated systematic review and meta-analysis of observational studies
Authors: Bellinato F. , Gisondi P. , Mantovani A. , Girolomoni G. , Targher G. 
Published: February 2022

Abstract
Purpose
Chronic plaque psoriasis is associated with the presence of non-alcoholic fatty liver disease (NAFLD), but the magnitude of this association remains currently uncertain. We aimed to investigate the magnitude of the association between psoriasis and the risk of prevalent and incident NAFLD, and to assess whether psoriasis severity and/or psoriatic arthritis are associated with a greater risk of NAFLD.

Methods
A systematic review and meta-analysis of observational studies evaluating the association between psoriasis and NAFLD, as diagnosed by imaging or International Classification of Diseases codes was performed. Literature search on PubMed, Scopus and Web of Science on May 3, 2021 was undertaken. Studies using liver biopsy were not available. For the meta-analysis, the random-effects modelling was adopted.

Results
We identified 15 observational (case–control and cross-sectional) studies for a total of 249,933 patients with psoriasis (49% with NAFLD) and 1,491,402 controls (36% with NAFLD). Psoriasis was associated with prevalent NAFLD (n = 11 studies; pooled random-effects odds ratio [OR] 1.96, 95% CI 1.70–2.26; I2 = 97%, p < 0.01). Psoriatic patients with NAFLD had a higher mean psoriasis area and severity index (PASI) than their counterparts without NAFLD (n = 8 studies, pooled weighted mean difference: 3.93, 95% CI 2.01–5.84; I2 = 88%, p < 0.01). The risk of NAFLD was marginally higher in patients with psoriatic arthritis than in those with psoriasis alone (n = 5 studies, pooled random-effects OR 1.83, 95% CI 0.98–3.43; I2 = 64%, p = 0.03). Sensitivity analyses did not alter these findings. Funnel plot did not show any significant publication bias. A major limitation of the study was the high degree of heterogeneity across studies.

Conclusion
Psoriasis is associated with prevalent NAFLD and this risk parallels the severity of psoriasis.
Decision-making of IoT device operation based on intelligent-task offloading for improving environmental optimization
Authors: Jin Wenquan , Lim Sunhwan , Woo Sungpil , Park Chanwon , Kim Dohyeun 
Published: February 2022

AbstractComputation offloading enables intensive computational tasks to be separated into multiple computing resources for overcoming hardware limitations. Leveraging cloud computing, edge computing can be enabled to apply not only large-scale and personalized data but also intelligent algorithms based on offloading the intelligent models to high-performance servers for working with huge volumes of data in the cloud. In this paper, we propose a getaway-centric Internet of Things (IoT) system to enable the intelligent and autonomous operation of IoT devices in edge computing. In the proposed edge computing, IoT devices are operated by a decision-making model that selects an optimal control factor from multiple intelligent services and applies it to the device. The intelligent services are provided based on offloading multiple intelligent and optimization approaches to the intelligent service engine in the cloud. Therefore, the decision-making model in the gateway is enabled to select the best solution from the candidates. Also, the proposed IoT system provides monitoring and visualization to users through device management based on resource virtualization using the gateway. Furthermore, the gateway interprets scenario profiles to interact with intelligent services dynamically and apply the optimal control factor to the actual device through the virtual resource. For implementing the improved energy optimization using the proposed IoT system, we propose two intelligent models to learn parameters of a user’s residential environment using deep learning and derive the inference models to deploy in the intelligent service engine. The inference models are used for predicting a heater energy consumption that is applied to the heater. The heater updates the environment parameters to reach the user-desired values. Moreover, based on two energy consumption values, the decision-making model brings a smaller value to operate the heater to enable reducing the energy consumption as well as providing a user-desired environment.
Quantum kinetic theory of plasmas
Authors: Brodin Gert , Zamanian Jens 
Published: February 2022

AbstractAs is well known, for plasmas of high density and modest temperature, the classical kinetic theory needs to be extended. Such extensions can be based on the Schrödinger Hamiltonian, applying a Wigner transform of the density matrix, in which case the Vlasov equation is replaced by the celebrated Wigner–Moyal equation. Extending the treatment to more complicated models, we investigate aspects such as spin dynamics (based on the Pauli Hamiltonian), exchange effects (using the Hartree–Fock approximation), Landau quantization, and quantum relativistic theory. In the relativistic theory, we first study cases where the field strength is well-beyond Schwinger critical field. Both weakly relativistic theory (gamma factors close to unity) and strongly relativistic theory are investigated, using assumptions that allow for a separation of electron and positron states. Finally, we study the so-called Dirac–Heisenberg–Wigner (DHW) formalism, which is a fully quantum relativistic theory, allowing for field strengths of the order of the Schwinger critical field or even larger. As a result, the quantum kinetic theory is extended to cover phenomena such as Zitterbewegung and electron–positron pair creation. While the focus of this review is on the quantum kinetic models, we illustrate the theories with various applications throughout the manuscript.
Double the Trouble?: An Investigation of How Social Stressors and Time Pressure Simultaneously and Interdependently Predict Sleep Quality in Social Workers
Authors: Eggli Andrea , Pereira Diana , Gygax Fabienne , Igic Ivana , Galliker Sibylle , Elfering Achim 
Published: February 2022

Abstract
Purpose
Social service employees often fulfill their mandate under tight time schedules, and deal with social stressors. This can result in significant health impairments. By means of one cross-sectional and two intensive longitudinal studies, the present paper aimed to understand how time pressure and social stressors might impact sleep quality. It was also tested whether social stressors amplified the negative association between time pressure and sleep impairments in social workers.

Methods
Study 1 was a cross-sectional questionnaire study on 52 social service employees, while study 2 included a 7-day diary study design (N = 62 social workers) with up to 138 daily measurements. Study 3 applied a 2-week diary and actigraphy assessment, involving a complete social service unit sample (N = 9).

Results
Concerning the moderating role of social stressors, study 1 found social stressors to amplify the effects of time pressure on sleep latency. Multilevel regression analyses of studies 2 and 3 revealed daily time pressure to be a significant predictor of sleep fragmentation the upcoming night. Study 3 further uncovered daily social stressors to positively predicted sleep fragmentation and negatively sleep duration. Study 2 again showed the amplifying interaction effect between daily social stressors and time pressure on sleep fragmentation, but study 3 did not show that interaction.

Conclusion
The findings show how job stressors might disturb the sleep quality of social workers also with amplifying risk. Accordingly, social work needs work design prevention efforts that consider the complex inter-play between occupational stressors, as only then recovery processes can be protected.
Räumliche Lärmanalyse anhand von erweiterten Floating-Car-Daten (xFCD)
Authors: Vogt Matthias , Krisp Jukka M. 
Published: February 2022

ZusammenfassungErweiterte Floating-Car-Daten (xFCD) bieten die Möglichkeit, Fahrzeuglärm aus den Daten zur Position, Geschwindigkeit und der Drehzahl des Motors eines Fahrzeugs zu ermitteln und die Ergebnisse u. a. visuell auszuwerten. Dazu werden in einer exemplarischen Fallstudie im Raum Mönchengladbach Daten des enviroCar-Projekts verwendet. Die Lärmkalkulation enthält die separate Berechnung von Rollgeräuschen und Antriebsgeräuschen der Fahrzeuge sowie deren energetische Addition zum Gesamtgeräusch. Zusätzlich sind das anzunehmende Alter der Straßen, die Temperatur und eventuell gefallener Niederschlag berücksichtigt. Die Resultate der räumlichen Lärmanalyse aus diesen xFCD werden mit „klassischen“ Lärmkarten verglichen. Häufig lassen sich die gleichen Lärmschwerpunkte wie z. B. größere Straßen oder Kreuzungen erkennen, auch wenn die Herangehensweisen zur Erstellung der Lärmkarten andere sind. Zudem zeigen wir exemplarisch Möglichkeiten, theoretisch vollständig elektrifizierten Verkehr mit Verkehr durch Verbrennerfahrzeuge hinsichtlich der Lärmemissionen zu vergleichen. Diese Studie zeigt, dass xFCD für die Analyse von Verkehrslärm erfolgreich genutzt werden können.