bluuebunny/crossref_metadata_2025 huggingface dataset:
Bachelor of Education Science Students’ Beliefs, Perceptions, and Experiences of Online Learning during the COVID-19 Pandemic: A Case of Disadvantaged Students
Authors: Mavuru Lydia , Ramaila Sam
Published: December 2022

This study examined Bachelor of Education science students’ beliefs, perceptions, and experiences of online learning during the COVID-19 pandemic. The investigation adopted an explanatory mixed method research design and involved purposively selected students enrolled for Bachelor of Education degree specialising in Physical and Life Sciences at a South African university. These students came from rural areas, townships, and informal settlements, which are characterised by a myriad of socio-economic challenges. These challenges have profound implications for students’ resilience within the higher education sector. The study was underpinned by Technology Ac ceptance Model as the theoretical framework. Quantitative data was collected through administration of a questionnaire while qualitative data was collected through semi-structured interviews. Quantitative and qualitative data were analysed using SPSS and Atlas.ti, respectively. Findings showed that the students struggled to acquire appropriate digital devices and to access internet connectivity amongst other challenges because of their socio-economic backgrounds. They however demonstrated resilience through successful completion of their studies in the face of these critical challenges. Notwithstanding their socio-economic backgrounds, the students competed favourably with their peers from privileged backgrounds. The study has important implications for the alleviation of existing socio-economic disparities within the South African higher education system.
Deep Learning for Predicting Congestive Heart Failure
Authors: Goretti Francesco , Oronti Busola , Milli Massimo , Iadanza Ernesto
Published: December 2022

Congestive heart failure (CHF) is one of the most debilitating cardiac disorders. It is a costly disease in terms of both lives and financial outlays, given the high rate of hospital re-admissions and mortality. Heart failure (HF) is notoriously difficult to identify on time, and is frequently accompanied by additional comorbidities that further complicate diagnosis. Many decision support systems (DSS) have been developed to facilitate diagnosis and to raise the standard of screening and monitoring operations, even for non-expert staff. This is confirmed in the literature by records of highly performing diagnosis-aid systems, which are unfortunately not very relevant to expert cardiologists. In order to assist cardiologists in predicting the trajectory of HF, we propose a deep learning-based system which predicts severity of disease progression by employing medical patient history. We tested the accuracy of four models on a labeled dataset, composed of 1037 records, to predict CHF severity and progression, achieving results comparable to studies based on much larger datasets, none of which used longitudinal multi-class prediction. The main contribution of this work is that it demonstrates that a fairly complicated approach can achieve good results on a medium size dataset, providing a reasonably accurate means of determining the evolution of CHF well in advance. This potentially constitutes a significant aid for healthcare managers and expert cardiologists in designing different therapies for medication, healthy lifestyle changes and quality of life (QoL) management, while also promoting allocation of resources with an evidence-based approach.
Experimental Evaluation of Performance and Combustion Characteristics of Blended Plastic Pyrolysis Oil in Enhanced Diesel Engine
Authors: Wongkhorsub Chonlakarn , Chaowasin Wantana , Theinnoi Kampanart
Published: December 2022

Plastic waste is the largest volume of waste and the most discarded, and it has a direct negative impact on the environment. Therefore, the pyrolysis oil process is an essential and sustainable solution to reduce plastic waste accumulation. However, the plastic pyrolysis fuel performance in diesel engines is reduced due to its lower cetane number. Diesel and pyrolysis oil were blended in ratios of 90:10 (BP10), 80:20 (BP20), 70:30 (BP30), 60:40 (BP40), and 50:50 (BP50) and applied in a single-cylinder diesel engine to investigate the engine performance and exhaust emission. The long ignition delay, thermal efficiency drops, and emission growth were found regarding the higher blended fuel ratios. BP30 was selected to evaluate the performance and combustion characteristics of blended plastic pyrolysis oil and diesel fuel blends by enhancing an unmodified engine using low hydrogen additions (1000 ppm) and advanced timing adjustment. The hydrogen injected into the intake manifold, along with the advanced fuel injection timing (−16.5 CA°BTDC), affected engine performance and emissions (CO, HC, and NO) at 1500 rpm under 25%, 50%, and 75% of the maximum load compared with diesel fuel. The results showed that the hydrogen addition was very positive for both engine performance and emission reduction, as the expanded flammability of the hydrogen promoted a wide range of combustion within the cylinder, whereas the advanced injection timing achieved improved engine performance but produced higher emissions compared to B7 at all engine loads.
Research Status and Development Trend of Unmanned Driving Technology in Coal Mine Transportation
Authors: Wang Maosen , Bao Jiusheng , Yuan Xiaoming , Yin Yan , Khalid Shah
Published: December 2022

Unmanned driving technology has always been one focus of mine smart transportation, which is a crucial component of smart mines. However, the descriptions of both the intelligent transportation system and its industrial application are not comprehensive. In order to have an all-encompassing and comprehensive understanding of both the intelligent coal mine transportation system and its industrial application with the intelligent system, this paper summarizes and analyzes the current research status of unmanned driving technology in mines and the industrial application of current mining transportation vehicles. It begins by outlining the current research state of unmanned driving technology in mines and then assesses the advancement of unmanned driving technology. The unmanned transportation system in mines is also introduced, together with its components for perception, location, path planning, vehicle control, and multi-vehicle scheduling. In addition, each component is described in combination with the current artificial intelligent unmanned technology individually. Then, some typical categories of intelligent industrial vehicles are introduced for learning about the conditions of their actual application. There are almost four hundred coal mines that have researched unmanned driving technology, and some companies have applied the unmanned technology to realize transportation with an efficiency enhancement of 70~80%. Finally, currently existing challenges and future research are analyzed and proposed. This review may provide more comprehensive knowledge of the intelligent coal mine, accelerating the development of intelligent technology and helping to build a new management and control model.
Seven-Rod Pumping Concept for Highly Stable Solar Laser Emission
Authors: Costa Hugo , Liang Dawei , Almeida Joana , Catela Miguel , Garcia Dário , Tibúrcio Bruno D. , Vistas Cláudia R.
Published: December 2022

A seven-rod solar laser head was conceptualized and numerically studied to improve the tracking error compensation capacity and power stability in end-side-pumping schemes. It was composed of a first-stage heliostat–parabolic mirror system, a second-stage fused silica aspheric lens and a third-stage conical pumping cavity, within which seven Nd:YAG rods were mounted. Highly stable solar laser emission, with a power loss inferior to 5% for tracking errors up to ±0.4°, could potentially be enabled with seven 4 mm diameter, 13 mm length rods. The tracking error width at 10% laser power loss was about 1.0°, which is 1.65 times higher than the experimental record, attained by a dual-rod side-pumping prototype. Furthermore, a total multimode laser power of about 41.2 W could also be achieved, corresponding to 23.3 W/m2 collection and 2.5% solar-to-laser power conversion efficiencies, which are 1.65 and 1.36 times higher than those obtained with the dual-rod side-pumping prototype. They are also 1.27 and 1.12 times higher than the multirod experimental records in multimode regime for the same rod material.
A Recycling Pathway for Rare Earth Metals (REMs) from E-Waste through Co-Gasification with Biomass
Authors: Parveg A. S. M. Sazzad , Ordikhani-Seyedlar Ramin , Sharma Tejasvi , Shaw Scott K. , Ratner Albert
Published: December 2022

This manuscript investigates an improvised gasification process for capturing and recycling rare earth metals (REMs) from consumer and industrial electronic wastes, often termed “e-waste”. The proposed procedure is based on the formation of coalesced and aggregated metal nodules on biochar surfaces through the gasification of e-waste mixed with gasifier feedstocks. A preliminary understanding of metal nodule formation based on different atmospheric conditions (inert, oxidizing, and oxidizing followed by reducing atmospheres) was examined in both pilot-scale gasifier and tube furnace experiments using iron powder mixed with corn. Iron powder is representative of the REM in the e-waste. Metal nodule sizes, morphology, and composition are analyzed and compared via scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDS), and X-ray fluorescence spectroscopy (XRF) techniques. We conclude that sintering is the key mechanism responsible for metal nodule growth through metal particle coalescence and aggregation by migration and diffusion of metal particles on biochar surfaces at elevated temperatures. Oxidizing atmosphere followed by a reducing atmosphere facilitates larger metal nodule growth compared to only an inert or oxidizing atmosphere. Additionally, the effect of adding NaCl salt is investigated on lowering the metal nodules’ surface energy and enhancing both metal particle and metal nodule agglomeration characteristics. Salt addition facilitates spherical metal nodule formation without any significant effect on the nodule composition and localized formation of nodules.
RINGs, DUBs and Abnormal Brain Growth—Histone H2A Ubiquitination in Brain Development and Disease
Authors: Doyle Lucy Anne , Unlu Bektas Firuze , Chatzantonaki Eleftheria , Repton Charlotte , Derrien Alexandra , Illingworth Robert Scott
Published: December 2022

During mammalian neurodevelopment, signaling pathways converge upon transcription factors (TFs) to establish appropriate gene expression programmes leading to the production of distinct neural and glial cell types. This process is partially regulated by the dynamic modulation of chromatin states by epigenetic systems, including the polycomb group (PcG) family of co-repressors. PcG proteins form multi-subunit assemblies that sub-divide into distinct, yet functionally related families. Polycomb repressive complexes 1 and 2 (PRC1 and 2) modify the chemical properties of chromatin by covalently modifying histone tails via H2A ubiquitination (H2AK119ub1) and H3 methylation, respectively. In contrast to the PRCs, the Polycomb repressive deubiquitinase (PR-DUB) complex removes H2AK119ub1 from chromatin through the action of the C-terminal hydrolase BAP1. Genetic screening has identified several PcG mutations that are causally associated with a range of congenital neuropathologies associated with both localised and/or systemic growth abnormalities. As PRC1 and PR-DUB hold opposing functions to control H2AK119ub1 levels across the genome, it is plausible that such neurodevelopmental disorders arise through a common mechanism. In this review, we will focus on advancements regarding the composition and opposing molecular functions of mammalian PRC1 and PR-DUB, and explore how their dysfunction contributes to the emergence of neurodevelopmental disorders.
Observed and Predicted Geographic Distribution of Acer monspessulanum L. Using the MaxEnt Model in the Context of Climate Change
Authors: Aouinti Hamdi , Moutahir Hassane , Touhami Issam , Bellot Juan , Khaldi Abdelhamid
Published: December 2022

Acer monspessulanum (Montpellier Maple) is an important deciduous tree species native to the Mediterranean region. It is largely distributed in the southern part of western Europe; however, it is geographically less present in north Africa and western Asia. The effects of the most significant environmental variables for its habitat suitability, and climate change, are unclear in terms of the future changes to its distribution. The objective of the present study was to model the current and future geographical potential distribution of the Montpellier Maple in the Mediterranean basin and West Asia using maximum entropy modeling software (MaxEnt). The value of the Area Under the Curve (AUC) of MaxEnt was used to analyze the model’s performance. More than 5800 well-distributed presence points, elevation, slope, aspect, topographic wetness index (TWI), natural vegetation characteristics from MODIS products, and 19 bioclimatic variables were used to conduct the study. Regarding the projections of the species distribution under climate change, 17 global climatic models were used under two RCP scenarios (4.5 and 8.5) for the 2040–2060 and the 2060–2080 time periods. The results show that temperature seasonality (40% contribution to the model), elevation (33.5%), mean annual temperature (6.9%), mean annual precipitation (6.2%), and max temperature of the warmest month (4.5%) were identified as the primary factors that accounted for the current distribution of the Montpellier Maple. Under the climate change scenarios, MaxEnt predicts a large decrease in the species suitability area, with a shift towards the southwestern regions of the species distribution, especially to the mountainous zones of the Moroccan Atlas. Our results show that climate largely limits the distribution of the Montpellier Maple in the Mediterranean basin, as its change in the future is expected to significantly reduce the suitable area by more than 99% from the historical climate conditions, to reach only 16,166.9 and 9874.7 km2 under the moderate RCP4.5 and extreme RCP8.5 scenarios, respectively, by the end of the 21st century. Our study can provide a good view of the future changes in the distribution of Montpellier Maple for its protection and sustainable management.
Impact of Natural Degradation on the Aged Lignocellulose Fibers of Moroccan Cedar Softwood: Structural Elucidation by Infrared Spectroscopy (ATR-FTIR) and X-ray Diffraction (XRD)
Authors: Bouramdane Yousra , Fellak Somia , El Mansouri Fouad , Boukir Abdellatif
Published: December 2022

The aims of this study are to investigate the structure of four historical Moroccan cedar softwood samples of different aging time duration (16th, 17th, 19th, 21st centuries) and compare among these four samples, using two analytical methods, FTIR and XRD, in order to confirm some structural changes and determine the degree of deterioration. The pronounced hemicellulose deterioration was highlighted by a breakdown of IR acetyl groups at 1738 cm−1 from the 19th century sample until aged ones. The cellulose XRD crystallinity index showed an important decrease from recent to oldest samples (51.8 to 20.2%) justifying the damages mainly in the two oldest samples (17th and 16th centuries), also confirmed by FTIR. The alteration of lignin was manifested in the case of the two ancient samples (16th and 17th centuries), proven by the decrease in IR bands related to aromatic nuclei (1595, 1500, 1230 cm−1) evolving towards a new diconjugate C=O formers at 1647 cm−1 (quinone, Ar-CO-Ar, Ar-CO-C=C). For accurate elucidation, the data of two combined techniques were compared and correlated. The obtained results depended on the part of the wood exposed to weathering effects (internal or external) and were influenced by both extended time of aging and effects of natural deterioration agents. The effects of natural aging were investigated in four historical Moroccan cedar softwood samples (16th, 17th, 19th, 21st centuries) using two analytical tools: FTIR and XRD. The pronounced hemicellulose deterioration was highlighted by a breakdown of IR acetyl groups at 1738 cm−1 and declines in the absorption signal at 1268 cm−1 from the 19th century sample until aged ones. The cellulose XRD crystallinity index (CrI) estimation showed an important decrease from recent to oldest samples (51.8 to 20.2%) justifying the damages mainly in the two oldest samples (17th and 16th centuries). These data were also confirmed by FTIR showing a significant reduction in both area profiles of C-O-C (1150–1000 cm−1) and C-H crystalline cellulosic bands (1375, 1318, and 1268 cm−1), respectively. The lignin alteration in both old samples (16th and 17th centuries) was proven by the decrease in IR aromatic skeleton (1595, 1500, and 1230 cm−1) evolving towards a new diconjugate C=O formers at 1647 cm−1 (quinone, Ar-CO-Ar, Ar-CO-C=C). To determine the structural difference and the degree of deterioration, the IR area of C=O band intensities ranging from 1550 to 1800 cm−1 was exploited. For accurate elucidation, the data of two combined techniques were compared and correlated. The obtained results depended on the part of the wood (internal or external) exposed to weathering effects and were influenced by both extended time of aging and effects of natural deterioration agents.
Simulated In Vitro Digestive Characteristics of Raw Yam Tubers in Japanese Diet: Changes in Protein Profile, Starch Digestibility, Antioxidant Capacity and Microstructure
Authors: Zhang Chuang , Ketnawa Sunantha , Thuengtung Sukanya , Cai Yidi , Qin Wei , Ogawa Yukiharu
Published: December 2022

The consumption of raw yam tuber through grated yam “tororo” is a major and popular diet in Japan. However, few studies have been undertaken to evaluate the digestive characteristics of raw yam tubers. This study aimed to fill this gap by investigating the changes in the protein profile, protein and starch digestibility, antioxidant capacity and microstructure of two typical yam tubers (Nagaimo N-10 and Nebaristar) in the Japanese diet, applying a simulated in vitro digestion method. Results showed that both samples contained a considerable protein content of about 11% (dry basis) and a protein digestibility of 43–49%. The electrophoretic patterns confirmed that dioscorin was the main protein of the yam tuber, and it could be digested into peptides and free amino acids with low molecular weight during in vitro digestion. The starch hydrolysis results suggested that eating raw yam tuber cannot induce a fast glycemic increase for consumers due to a low starch digestibility of 4.4–6.1%. In addition, Nebaristar showed a higher bioaccessibility in some key amino acids and total phenolic content than the Nagaimo N-10. This study provides some essential nutritional information and simulated digestion behaviours of the raw yam tubers, which could be useful for consumers and industries when buying and processing yam tubers from the perspective of changes in the nutritional profile during digestion.
Homotopy Perturbation Method for Pneumonia–HIV Co-Infection
Authors: Shah Nita H. , Sheoran Nisha
Published: December 2022

It is well known that HIV (human immunodeficiency virus) weakens the immune system of individuals, resulting in risk of other infections, such as pneumonia. The most frequent viral pneumonia seen in individuals infected with HIV is cytomegalovirus (CMV). In this paper, pneumonia–HIV co-infection is modeled through the formulation of a mathematical compartmental model consisting of nine compartments. Some of the basic properties of the model are established, such as the positivity, boundedness of the system, equilibrium points, and computation of the basic reproduction number. After obtaining the solution, the homotopy perturbation method (HPM) is applied, as it is known for its convergence properties. It is observed that the HPM gives an accurate analytical solution that indicates various important factors that are responsible for the spread of cytomegalovirus pneumonia in HIV-infected populations, and this is justified through a plot made by using MATLAB 2020a.
Expectations for Horizon-Scale Supermassive Black Hole Population Studies with the ngEHT
Authors: Pesce Dominic W. , Palumbo Daniel C. M. , Ricarte Angelo , Broderick Avery E. , Johnson Michael D. , Nagar Neil M. , Natarajan Priyamvada , Gómez José L.
Published: December 2022

We present estimates for the number of supermassive black holes (SMBHs) for which the next-generation Event Horizon Telescope (ngEHT) can identify the black hole “shadow”, along with estimates for how many black hole masses and spins the ngEHT can expect to constrain using measurements of horizon-resolved emission structure. Building on prior theoretical studies of SMBH accretion flows and analyses carried out by the Event Horizon Telescope (EHT) collaboration, we construct a simple geometric model for the polarized emission structure around a black hole, and we associate parameters of this model with the three physical quantities of interest. We generate a large number of realistic synthetic ngEHT datasets across different assumed source sizes and flux densities, and we estimate the precision with which our defined proxies for physical parameters could be measured from these datasets. Under April weather conditions and using an observing frequency of 230 GHz, we predict that a “Phase 1” ngEHT can potentially measure ∼50 black hole masses, ∼30 black hole spins, and ∼7 black hole shadows across the entire sky.
The Roles of SNHG Family in Osteoblast Differentiation
Authors: Tan An-Qi , Zheng Yun-Fei
Published: December 2022

Small nucleolar RNA host genes (SNHGs), members of long-chain noncoding RNAs (lncRNAs), have received increasing attention regarding their roles in multiple bone diseases. Studies have revealed that SNHGs display unique expression profile during osteoblast differentiation and that they could act as promising biomarkers of certain bone diseases, such as osteoporosis. Osteogenesis of mesenchymal stem cells (MSCs) is an important part of bone repair and reconstruction. Moreover, studies confirmed that the SNHG family participate in the regulation of osteogenic differentiation of MSCs in part by regulating important pathways of osteogenesis, such as Wnt/β-catenin signaling. Based on these observations, clarifying the SNHG family’s roles in osteogenesis (especially in MSCs) and their related mechanisms would provide novel ideas for possible applications of lncRNAs in the diagnosis and treatment of bone diseases. After searching, screening, browsing and intensive reading, we uncovered more than 30 papers related to the SNHG family and osteoblast differentiation that were published in recent years. Here, our review aims to summarize these findings in order to provide a theoretical basis for further research.
Agnathia-Otocephaly Complex Due to a De Novo Deletion in the OTX2 Gene
Authors: Fabiani Marco , Libotte Francesco , Margiotti Katia , Tannous Dina Khader Issa , Sparacino Davide , D’Aleo Maria Pia , Monaco Francesca , Dello Russo Claudio , Mesoraca Alvaro , Giorlandino Claudio
Published: December 2022

Agnathia-otocephaly complex (AOC) is a rare and usually lethal malformation typically characterized by hypoplasia or the absence of the mandible, ventromedial and caudal displacement of the ears with or without the fusion of the ears, a small oral aperture with or without a tongue hypoplasia. Its incidence is reported as 1 in 70,000 births and its etiology has been attributed to both genetic and teratogenic causes. AOC is characterized by a wide severity clinical spectrum even when occurring within the same family, ranging from a mild mandibular defect to an extreme facial aberration incompatible with life. Most AOC cases are due to a de novo sporadic mutation. Given the genetic heterogeneity, many genes have been reported to be implicated in this disease but to date, the link to only two genes has been confirmed in the development of this complex: the orthodenticle homeobox 2 (OTX2) gene and the paired related homeobox 1 (PRRX1) gene. In this article, we report a case of a fetus with severe AOC, diagnosed in routine ultrasound scan in the first trimester of pregnancy. The genetic analysis showed a novel 10 bp deletion mutation c.766_775delTTGGGTTTTA in the OTX2 gene, which has never been reported before, together with a missense variant c.778T>C in cis conformation.
Can Polymorphisms in NLRP3 Inflammasome Complex Be Associated with Postmenopausal Osteoporosis Severity?
Authors: Guaraná Werbson Lima , Lima Camilla Albertina Dantas , Barbosa Alexandre Domingues , Crovella Sergio , Sandrin-Garcia Paula
Published: December 2022

The immune system plays a critical role in bone homeostasis and, consequently, in the pathophysiology of postmenopausal osteoporosis (OP) since estrogen deficiency induces the inflammasome and increases production of pro-inflammatory cytokines, such as IL-1β and IL-18. NLRP3 inflammasome complex genes have been related with bone homeostasis in cellular and animal models. Here, we performed an association study evaluating SNVs (single-nucleotide variants) in inflammasome NLRP3 pathway genes (NLRP3, CARD8, CASP1, IL-18, and IL-1β) to assess whether variants in these genes could be related to susceptibility to primary OP in postmenopausal women. Methods: We genotyped 196 postmenopausal OP patients and 103 healthy controls using SNV-specific Taqman® probes. Data and statistical analyses were performed using the SNPstats and GraphPad Prism 8 software. Results: We showed an association between NLRP3 rs35829419 CA genotype and lower bone mineral density (BMD) mean at the lumbar spine (p = 0.001); we also observed an association between IL-1β rs16944 AA genotype and higher BMD mean at the total hip (p = 0.009). The IL-1β rs16944 GG was associated with lower alkaline phosphatase levels (ALP) (p = 0.009), and the IL-18 rs1946519 AA was associated with lower vitamin D levels (p = 0.018). Additionally, OP patients presented deficient vitamin D and parathyroid hormone (PTH). Conclusions: The NLRP3 inflammasome complex SNVs were associated with OP severity, possibly indicating these genes’ participation in bone metabolism and its dysregulation.
Discrimination of Clinozoisite–Epidote Series by Raman Spectroscopy: An application to Bengal Fan Turbidites (IODP Expedition 354)
Authors: Limonta Mara , Andò Sergio , Bersani Danilo , Garzanti Eduardo
Published: December 2022

Epidote group minerals are one of the three most abundant kinds of heavy minerals in orogenic sediments, the other two being amphibole and garnet. They resist diagenesis better than amphibole and resist weathering in soils better than garnet. Their chemical composition and optical properties vary markedly and systematically with temperature and pressure conditions during growth. Useful information on the metamorphic grade of source rocks can thus be obtained by provenance analysis. In this study, we combine optical, SEM–EDS, and Raman analyses of nine standard crystals of epidote group minerals collected from different rock units exposed in the European Alps and Apennines and develop a Raman library for efficient discrimination of epidote, clinozoisite, zoisite, and allanite by establishing clear user-oriented relationships among optical properties, chemical composition, and Raman fingerprint. This new library allows us to distinguish and reliably determine, directly from their Raman spectrum, the chemical compositions of epidote group minerals during routine heavy mineral analyses of sand/sandstone and silt/siltstone samples down to the size of a few microns. The validity of the approach is illustrated by its application to 41 Bengal Fan turbidites collected from five cores during IODP Expedition 354 and ranging in grain size from medium sand to fine silt.
Pedodiversity of Subboreal Ecosystems under Contrasting Geogenic Factors (Case Study of Samarskaya Luka, Middle Volga Region, Russia)
Authors: Abakumov Evgeny
Published: December 2022

The soils of uplands and partially isolated landforms located in the central Volga region were investigated in terms morphology, diversity and geogenic factor specificity. The Samarskaya Luka area is characterized by extreme spatial inhomogeneity and contrast of geogenic (lithological and topographic) conditions, and at the same time is located on the ecotone-transitional border of several natural zones. This territory is a part of two federal protected areas because of its peculiar nature. It is established that the diversity of geogenic (geological and topographic) conditions leads to the differentiation of the soil cover. Key soil types are presented by Leptosols, Cambisols, Retisols, Chernozems, Fluvisols and Technosols. By the example of the recognized upland macrolandscape, it is shown that the usual gradual course of soil zonation significantly changes due to the transformation of the soil-forming potential of the environment. The obtained data can be used for further regional verification of soil taxonomy. In addition, since the role of parent materials increases as they move from the west to the east of the East European Plain, parameterization of the role of this process becomes particularly important. Information about the diversity of chemical parameters and the granulometric composition of the key soil types of the studied area is also given.
In Situ Skin Friction Capacity Modeling with Advanced Neuro-Fuzzy Optimized by Metaheuristic Algorithms
Authors: Mu’azu Mohammed A.
Published: December 2022

Developing new optimization algorithms and data mining has improved traditional engineering structural analysis models (meaning basically swarm-based solutions). Additionally, an accurate quantification of in situ friction capacity (ISFC) of driven piles is of paramount importance in design/construction of geotechnical infrastructures. A number of studies have underscored the use of models developed via artificial neural networks (ANNs) in anticipation of the bearing capacity of driven piles. Nonetheless, the main drawbacks of implementing the techniques relying on artificial neural networks are their slow convergence rate and reliable testing outputs. The current research focused on establishing an accurate/reliable predictive network of ISFC. Therefore, an adaptive neuro-fuzzy inference system (ANFIS) coupled with Harris hawk optimization (HHO), salp swarm algorithm (SSA), teaching-learning-based optimization (TLBO), and water-cycle algorithm (WCA) is employed. The findings revealed that the four models could accurately assimilate the correlation of ISFC to the referenced parameters. The values of the root mean square error (RMSE) realized in the prediction phase were 8.2844, 7.4746, 6.6572, and 6.8528 for the HHO-ANFIS, SSA-ANFIS, TLBO-ANFIS, and WCA-ANFIS, respectively. The results depicted WCA-ANFIS as more accurate than the three other algorithms at the testing and training phase, and could probably be utilized as a substitute for laboratory/classical methods.
Geological Exploration, Landslide Characterization and Susceptibility Mapping at the Boundary between Two Crystalline Bodies in Jajarkot, Nepal
Authors: Shahi Yubraj Bikram , Kadel Sushma , Dangi Harish , Adhikari Ganesh , KC Diwakar , Paudyal Kabi Raj
Published: December 2022

The geology of the Himalayas is intricated and intriguing. It features numerous tectonic bodies and structures too complex to interpret. Along with such mysteries it has too many common geohazards, such as landslides. In this study, a detailed geological investigation is carried out to overcome the discrepancies in structural interpretation, the nature of two crystalline bodies, and non-uniformity in geological mapping in the central Himalayan arc, in the Jajarkot district of Nepal. Along with the geological exploration and landslide characterization of the area, consequent landslide susceptibility mapping is performed considering 13 causative factors related to geology, topography, land use, hydrology, and the anthropogenic factor, using two bivariate statistical models. This study concludes that the two metamorphic crystalline bodies in the study area are most probably the klippen, due to the absence or erosion of the root zone. The field study revealed that haphazard road excavation without the consideration of geological and geotechnical features has caused shallow landslides. The results obtained from the susceptibility maps, with a varying range of susceptibility zones, are in good agreement with the spatial distribution of pre-historic landslides. The results of the susceptibility modeling are validated by calculating landslide density and plotting area under curves (AUC). The AUC value for the WOE, and the FR method, revealed an overall success rate of 79.42% and 77.62%, respectively.
The Risk of SARS-CoV-2 Infection in Pregnant Women: An Observational Cohort Study Using the BIFAP Database
Authors: Mota Mercedes , Huerta-Álvarez Consuelo , Llorente Ana , Cea-Soriano Lucia
Published: December 2022

Background: It has been suggested that women experiencing during pregnancy several physiological and immunological changes that might increase the risk of any infection including the SARS-CoV-2. Objective: We aimed to quantify the risk of SARS-CoV-2 infection during pregnancy compared with women with no pregnancies. Methods: We used data from the BIFAP database and a published algorithm to identify all pregnancies during 2020. Pregnancies were matched (1:4) by age region, and length of pregnancy with a cohort of women of childbearing age. All women with SARS-CoV-2 infection before entering the study were discarded. We estimated incidence rates of SARS-CoV-2 with 95% confidence intervals (CIs) expressed by 1000 person-months as well as Kaplan–Meier figures overall and also stratified according to pregnancy period: during pregnancy, at puerperium (from end of pregnancy up to 42 days) and after pregnancy. (from 43 days after pregnancy up to end pf study period (i.e., June 2021). We conducted a Cox regression to assess risk factors for SARS-COV infection. The incidence rate of SARS-CoV-2 infection expressed by 1000 person-months were. Results: There was a total of 103,185 pregnancies and 412,740 matched women at childbearing, with a mean age of 32.3 years. The corresponding incidence rates of SARS-CoV-2 infection according to cohorts were: 2.44 cases per 1000 person-months (confidence interval (CI) 95%: 2.40–2.50) and 4.29 (95% CI: 4.15–4.43) for comparison cohort. The incidence rate ratio (IRR) of SARS-CoV-2 was 1.76 (95% CI: 1.69–1.83). When analyzing according to pregnancy period, the IRRs were 1.30 (95% CI: 11.20–1.41) during the puerperium and 1.19 (95% CI: 41.15–1.23) after pregnancy. In addition to pregnancy itself, other important risk factors were obesity (1.33 (95% CI: 1.23–1.44)) and diabetes (1.23 (95% CI: 11.00–1.50). Conclusion: Pregnant women are at increased risk of SARS-CoV-2 infection compared with women of childbearing age not pregnant. Nevertheless, there is a trend towards reverting during puerperium and after pregnancy.
A Study on the Characteristics of Children’s Natural Activities in the Neighborhood and Their Influencing Factors: Evidence from Hangzhou, China
Authors: Ji Rui , Li Sheng , Shao Yuhan
Published: December 2022

In the process of urbanization, children are becoming increasingly estranged from nature. The phenomenon has received widespread attention in developed countries because of its many negative effects on children’s health and pro-nature behaviors. However, the existing studies lack the exploration of this issue in developing countries, especially with regard to China. In order to understand the characteristics of neighborhood natural activities and their influencing factors among children in China, we conducted a systematic questionnaire survey of 900 children (10–12 years old from Hangzhou City, Zhejiang Province, Eastern China) about their natural activities in the neighborhood. Children were asked to provide basic information on their neighborhood natural activities situation (frequency, duration and location), nature connectedness and environmental knowledge. The results showed that the frequency of children’s neighborhood natural activities in rural areas was less than that of children in urban areas, but the naturalness of the neighborhood natural activity sites of rural children was higher than that of urban children. Boys spent more time engaging in neighborhood natural activities than girls. Only children outlasted non-only children in terms of the duration of neighborhood natural activities. Regarding Influencing Factors, children’s nature connectedness and environmental knowledge significantly and positively predicted the frequency and location of children’s natural activities in the neighborhood, which indicates a new approach to the promotion of children’s neighborhood natural activities. Overall, how to encourage children to engage in natural activities in the neighborhood is a complex issue that needs to be studied in more regions and with more samples.
How Population Aging Affects Industrial Structure Upgrading: Evidence from China
Authors: Shen Xiao , Liang Jingbo , Cao Jiangning , Wang Zhengwen
Published: December 2022

The question of how to proactively respond to population aging has become a major global issue. As a country with the largest elderly population in the world, China suffers a stronger shock from population aging, which makes it more urgent to transform its industrial and economic development model. Concretely, in the context of the new macroeconomic environment that has undergone profound changes, the shock of population aging makes the traditional industrial structure upgrading model (driven by large-scale factor inputs, imitation innovation and low-cost technological progress, and strong external demand) more unsustainable, and China has an urgent need to transform it to a more sustainable one. Only with an in-depth analysis of the influence mechanism of population aging on the upgrading of industrial structure can we better promote industrial structure upgrading under the impact of population aging. Therefore, six MSVAR models were constructed from each environmental perspective based on data from 1987 to 2021. The probabilities of regime transition figures show that the influencing mechanisms have a clear two-regime feature from any view; specifically, the omnidirectional environmental transition occurs in 2019. A further impulse–response analysis shows that, comparatively speaking, under the new environment regime the acceleration of population aging (1) aggravates the labor shortage, thus narrowing the industrial structure upgrading ranges; (2) has a negative, rather than positive, impact on the capital stock, but leads to a cumulative increase in industrial structure upgrading; (3) forces weaker technological progress, but further leads to a stronger impact on the industrial structure upgrading; (4) forces greater consumption upgrading, which further weakens industrial structure upgrading; (5) narrows rather than expands the upgrading of investment and industrial structures; and (6) narrows the upgrading of export and industrial structures. Therefore, we should collaboratively promote industrial structure upgrading from the supply side relying heavily on independent innovation and talent, and the demand side relying heavily on the upgrading of domestic consumption and exports.
A Digital Template for the Generic Multi-Risk (GenMR) Framework: A Virtual Natural Environment
Authors: Mignan Arnaud
Published: December 2022

Extreme disasters, defined as low-probability–high-consequences events, are often due to cascading effects combined to amplifying environmental factors. While such a risk complexity is commonly addressed by the modeling of site-specific multi-risk scenarios, there exists no harmonized approach that considers the full space of possibilities, based on the general relationships between the environment and the perils that populate it. In this article, I define the concept of a digital template for multi-risk R&D and prototyping in the Generic Multi-Risk (GenMR) framework. This digital template consists of a virtual natural environment where different perils may occur. They are geological (earthquakes, landslides, volcanic eruptions), hydrological (river floods, storm surges), meteorological (windstorms, heavy rains), and extraterrestrial (asteroid impacts). Both geological and hydrological perils depend on the characteristics of the natural environment, here defined by two environmental layers: topography and soil. Environmental objects, which alter the layers, are also defined. They are here geomorphic structures linked to some peril source characteristics. Hazard intensity footprints are then generated for primary, secondary, and tertiary perils. The role of the natural environment on intensity footprints and event cascading is emphasized, one example being the generation of a “quake lake”. Future developments, à la SimCity, are finally discussed.
Public Concern about Air Pollution and Related Health Outcomes on Social Media in China: An Analysis of Data from Sina Weibo (Chinese Twitter) and Air Monitoring Stations
Authors: Ye Binbin , Krishnan Padmaja , Jia Shiguo
Published: December 2022

To understand the temporal variation, spatial distribution and factors influencing the public’s sensitivity to air pollution in China, this study collected air pollution data from 2210 air pollution monitoring sites from around China and used keyword-based filtering to identify individual messages related to air pollution and health on Sina Weibo during 2017–2021. By analyzing correlations between concentrations of air pollutants (PM2.5, PM10, CO, NO2, O3 and SO2) and related microblogs (air-pollution-related and health-related), it was found that the public is most sensitive to changes in PM2.5 concentration from the perspectives of both China as a whole and individual provinces. Correlations between air pollution and related microblogs were also stronger when and where air quality was worse, and they were also affected by socioeconomic factors such as population, economic conditions and education. Based on the results of these correlation analyses, scientists can survey public concern about air pollution and related health outcomes on social media in real time across the country and the government can formulate air quality management measures that are aligned to public sensitivities.
Differences in Body Balance According to Body Mass Classification among Brazilian Jiu-Jitsu Athletes
Authors: Leszczak Justyna , Czenczek-Lewandowska Ewelina , Wyszyńska Justyna , Podgórska-Bednarz Justyna , Weres Aneta , Baran Rafał , Niewczas Marta , Pop Teresa , Baran Joanna
Published: December 2022

Background: Body weight is an important aspect in the development of components of physical fitness that can affect athletic performance. The purpose of this study was to examine the differences in body balance of Brazilian Jiu-Jitsu (BJJ) athletes according to body mass classification: underweight/normal weight (UW/NW); overweight/obese (OW/OB). Material and Methods: The study was conducted among 69 BJJ athletes (age 23.26 ± 3.53) and 93 non-practicing adults (age 21.73 ± 2.32). This study was based on a quantitative assessment of body balance on the Zebris PDM platform during two tests, i.e., with eyes open and closed. Results: The total path of the center of pressure (COP TTL) was significantly higher in participants with UW/NW compared to those with OW/OB, both in participants from the study group and control group (p < 0.001). COP TTL was significantly lower in UW/NW BJJ athletes than in participants in the control group with the same BMI category (987.4 mm vs. 1238.5 mm and 1080.59 mm vs. 1280.70 mm, respectively) (p < 0.001). Conclusions. BJJ training is associated with a better balance in terms of COP TTL in the case of people with normal or underweight. The presence of excess body weight has a positive effect on lower COP TTL values in both practicing and non-practicing people.
Mortality Trends Due to Skin Melanoma in Poland in the Years 2000–2020
Authors: Dziankowska-Zaborszczyk Elżbieta , Maniecka-Bryła Irena , Pikala Małgorzata
Published: December 2022

The aim of this article is to assess mortality trends due to skin melanoma in Poland between the years 2000 and 2020, taking into account gender and place of residence (urban, rural). The subject of the analyses was data on 25,061 deaths that occurred between 2000 and 2020 due to skin melanoma (C43 according to ICD-10). Mortality rates due to this cancer, both crude (CDR) and standardised (SDR), were calculated. Trends on the calculated rates were analysed using the annual percentage change (APC) and average annual percentage change (AAPC), obtained from joinpoint regression models. Over the study period, the standardised death rate (SDR) due to skin melanoma in Poland increased from 3.60 to 4.03 per 100,000 population (AAPC = 1.1; p < 0.05), for urban residents it increased from 3.56 to 3.91 (APC = 1.2; p < 0.05) and for rural residents it increased from 3.00 to 4.24 (APC = 2.2; p < 0.05). A higher growth rate in terms of the SDR value between the years 2000 and 2020 was recorded in men compared to women and in rural when compared to urban residents. In Poland, mortality due to skin melanoma is on the rise. The early diagnosis of this cancer should become common practice in the Polish population.
Emerging Trends of Ergonomic Risk Assessment in Construction Safety Management: A Scientometric Visualization Analysis
Authors: Vijayakumar Rakhi , Choi Jae-ho
Published: December 2022

Ergonomic risk assessment is critical for identifying working posture hazardous to the health of construction workers. Work-related musculoskeletal disorders (WMSDs) are predominant non-fatal injuries in the construction industry owing to manual handling activities and poor working conditions. However, there is a lack of scientific synopsis aiming to better understand the emerging research focus in this field. To fill the research gap, this study performed a scientometric evaluation of the bibliometric data on ergonomic risk assessment from the Web of Science database using VOSviewer software. The purpose of this study is to analyze the co-occurrence network of keywords, co-authorship network, most active countries, and the sources of publication. The results indicate that research related to risk assessment in construction has fluctuating growth, peaking in 2020 with significant advancements in the USA, China, and Canada. WMSDs, risk factors, construction workers, and ergonomics are hot research topics in this field. Furthermore, the research gaps of previous studies and suggestions for future research have been provided to bridge the knowledge gap. We believe that this scientometric review provides useful reference points for early-stage researchers as well as beneficial in-depth information to experienced practitioners and scholars in the construction industry.
Exploring Resilience in UK-Based Domiciliary Care Workers before and during the COVID-19 Pandemic
Authors: Donnellan Warren James , Hirons Annalise , Clarke Katie , Muinos Christian , McCabe Laura
Published: December 2022

Domiciliary carers (DCs) provide an invaluable service that enables people living with dementia (PLWD) to remain living in their own homes for as long as possible. We know a lot about the negative impacts of providing domiciliary care and recent evidence suggests that this was exacerbated by the COVID-19 pandemic. However, we know much less about how these DCs manage the stressors associated with their roles. The current study adopts a resilience perspective to identify the resources that DCs caring for PLWD draw on to manage the stress associated with their roles before and during the COVID-19 pandemic. We conducted semi-structured interviews with 19 DCs from across the UK. Data were analysed using a directed qualitative content analysis. Themes included: healthy boundaries; motivation to care; psychological attributes; managing work; and support. The findings have implications for employers and may go some way towards improving DC working conditions, retaining staff, and attracting new DCs in the future.