bluuebunny/crossref_metadata_2025 huggingface dataset:
Public Perception of Epilepsy in Rural Limpopo and Mpumalanga Provinces: A Quantitative Study on Knowledge, Awareness, and Attitudes
Authors: Musekwa Ofhani Prudance , Makhado Lufuno , Maphula Angelina
Published: December 2022

Although epilepsy is a common non-communicable neurological disease, lack of knowledge, awareness, and negative attitudes of it abound. This study aimed to explore public awareness, knowledge, and attitudes towards epilepsy and people living with epilepsy (PLWE). RaoSoft software was used to calculate the sample size, and 4290 respondents were included. The researchers employed a non-experimental quantitative survey method. Data were collected using a questionnaire, and descriptive and regression analyses were performed. Most respondents had a secondary education without grade 12 (45.2%); 79.6% were unemployed in Limpopo and 70.5% in Mpumalanga. This study had a 95.3% response rate. Both provinces displayed low knowledge of epilepsy (48.2%; mean = 5.99; SD = 2.38). Only 41% demonstrated awareness, and 56.7% had a positive attitude towards epilepsy (mean= 4.67; SD = 1.90). The findings revealed positive correlations between demographic factors and overall knowledge, awareness, and attitude. In addition, demographic factors, such as level of education and employment status, may be associated with an individual’s knowledge, awareness, and attitudes towards epilepsy. This study concluded that, despite individuals’ awareness of epilepsy, their levels of knowledge were low, and many (43.3%) had a negative attitude regarding the disease. In the two provinces investigated, the study highlighted the need for epilepsy education to empower the public and improve the quality of life of PLWE and their families.
Anthropogenic Transformations of Vegetation in the Kuyalnik Estuary Valley (Ukraine, Odesa District)
Authors: Dubyna Dmytro V. , Ennan Alim A.-A. , Dziuba Tetiana P. , Vakarenko Lyudmyla P. , Shykhaleyeva Galyna M. , Kiryushkina Hanna M.
Published: December 2022

Human influence on the steppe ecosystems of Ukraine caused irreversible loss of biodiversity in the natural zone. Currently, this problem is aggravated by military operations which cover almost half of the steppe zone and are unprecedented in the entire history of their existence. This actualizes the study of vegetation dynamic processes under the influence of the novel anthropogenic factors, and serves as the scientific basis for restoring and preserving steppe vegetation and maintaining its functional stability. The paper highlights anthropogenic changes in vegetation of the Kuyalnik Estuary valley based on long-term comparative phytocenotic surveys and uses of the method of succession series for reconstruction. These changes are representative of the river valleys of the estuaries in the Northern Black Sea region. This work examines vegetation changes induced by runoff overregulation of estuary rivers within the basin, quarrying of sand and limestone, ploughing, grazing, burning, terracing of slopes and their afforestation, excessive mowing of grass stands, and uncontrolled recreation. Subject to the existing anthropogenic impact combined with global climate changes, further vegetation degradation was predicted to occur in the direction of xerophitization and halophitization, reduction in shrubby vegetation areas, degradation of steppe vegetation, and intensification of desertification processes.
Post-Fire Recovery of Soil Nematode Communities Depends on Fire Severity
Authors: Renčo Marek , Adámek Martin , Jílková Veronika , Devetter Miloslav
Published: December 2022

Following the creation of a new organic layer after a forest fire, there is an initial build-up phase of overall biota. We studied soil nematode community development in a chronosequence of post-fire coniferous forest sites in relation to different fire severity. The taxonomic and functional composition of the soil nematode community was analyzed to detect immediate changes and levels of post-fire recovery in soil food web structures, i.e., 0, 1, 4, 8, 14, 20, 45, and 110 years after the event. Unburned forest sites served as controls. With small exceptions recorded immediately after the burn (mean nematode abundance, total biomass), the low severe wildfires had no impacts on the structures of nematode communities. The structures of nematode communities were found to be stable on sites affected by low severe wildfires, without considerable fluctuations in comparison to the unburned sites during chronosequence. On the contrary, nematode communities responded considerably to fires of high severity. The significant changes, i.e., a decrease of mean nematode abundance, plant parasites, omnivores and predators, species number, and nematode diversity, the values of CI, SI, MI, but an increase in the number of bacterivores and EI were recorded immediately after the fire. Such status, one year after a fire of high severity, has been observed. Full recovery of nematode communities 14 years after the disruption was found. Overall, our results showed that fire severity was a considerable element affecting soil nematode communities immediately after events, as well as the time needed to recover communities’ structure during post-fire chronosequence.
Impact of Import Substitution Policy on Economic Growth
Authors: Mustafin Askar Nailevich , Kotenkova Svetlana Nikolaevna , Kravčáková Vozárová Ivana , Kotulič Rastislav
Published: December 2022

This paper highlights the issues of import substitution in the context of attaining total macro-economic balance, market adaptation, and achieving new levels of regional economic development as a constituent part of the national economy of the Russian Federation. An effective strategy and goal management are the important forward-looking orientation points of the existence and development of the country. In this study, we tested the hypothesis that economic growth in the region can be estimated via the GRP per capita. To define the sectors and regions with a successful implementation of a substitution policy, our own special algorithm for sorting and classifying regions was used. This algorithm made it possible to estimate the effectiveness of the economic policy, if any. To confirm and estimate the hypothesis, tests based on panel data models were carried out. The results revealed that the economic policy of import substitution was 10% more efficient in the regions where it was implemented than those without an implemented policy.
COVID-19 the Gateway for Future Learning: The Impact of Online Teaching on the Future Learning Environment
Authors: Alharbi Badr A. , Ibrahem Usama M. , Moussa Mahmoud A. , Abdelwahab Shimaa M. , Diab Hanan M.
Published: December 2022

The COVID-19 virus has altered the nature of education. These modifications may be reversed once universities reopen. Nevertheless, a few of these modifications afford novel options to match pre-COVID-19 suggestions. This study’s purpose is to study staff members’ perceptions of online teaching during COVID-19, describe future projections regarding teaching, and identify the drivers of change in the future learning environment. The study community represents faculty staff in Saudi universities. The sample consisted of 127 faculty staff in nine Saudi universities. Participants had positive perceptions of the usage of e-learning platforms during COVID-19 according to data analysis (though negative experiences existed). Future research must focus on the subtle challenges of aligning theoretical and methodological designs to appropriately analyze the phenomenon under inquiry while contributing to a well-executed body of research in the field of educational technology. Future study is required to determine how teachers perceive information and communications technology (ICT) trading strategies in the light of COVID-19.
Foldscope as an Innovative Teaching Tool
Authors: Hernández-Pérez Carlos , Nieto-Sobrino María
Published: December 2022

This study deals with the descriptive analysis of the opinion of a pilot group of students at the University of Salamanca about the use of an innovative origami microscope: the Foldscope. Data were collected from an online satisfaction survey of 92 students of Plant Histology (Degree in Biology) during their laboratory practices. These surveys collected their opinions about the educational effectiveness of an innovative and economic foldable microscope made of paper. The foldscope is easy to use and can be used individually or collectively, thanks to its projection capability. The results show that the participants have a positive impression regarding the use of this tool to study plant structures, and they recommend its use in the years thereafter. In this regard, it is demonstrated that the price of microscopes is no longer a problem for the teaching of some subjects, such as Plant Histology.
Detail-Aware Deep Homography Estimation for Infrared and Visible Image
Authors: Luo Yinhui , Wang Xingyi , Wu Yuezhou , Shu Chang
Published: December 2022

Homography estimation of infrared and visible images is a highly challenging task in computer vision. Recently, the deep learning homography estimation methods have focused on the plane, while ignoring the details in the image, resulting in the degradation of the homography estimation performance in infrared and visible image scenes. In this work, we propose a detail-aware deep homography estimation network to preserve more detailed information in images. First, we design a shallow feature extraction network to obtain meaningful features for homography estimation from multi-level multi-dimensional features. Second, we propose a Detail Feature Loss (DFL), which utilizes refined features for computation and retains more detailed information while reducing the influence of unimportant features, enabling effective unsupervised learning. Finally, considering that the evaluation indicators of the previous homography estimation tasks are difficult to reflect severe distortion or the workload of manually labelling feature points is too large, we propose an Adaptive Feature Registration Rate (AFRR) to adaptive extraction of image pair feature points to calculate the registration rate. Extensive experiments demonstrate that our method outperforms existing state-of-the-art methods on synthetic benchmark dataset and real dataset.
Volumetric Spore Traps Are a Viable Alternative Tool for Estimating Heterobasidion Infection Risk
Authors: Dálya László Benedek , Dvořák Miloň , Sedlák Petr
Published: December 2022

Prophylactic stump treatments against the conifer root rot fungus Heterobasidion annosum s.l. should take into account the airborne inoculum density of the pathogen, in order to be economically feasible. Our objective was to test if an automatic volumetric spore trap (AVST) could be used as a sensitive alternative of passive traps for quantifying Heterobasidion airspora in forest stands. The routinely used wood disc exposure method (WDE) was implemented simultaneously with AVST in five coniferous monocultures and three near-natural stands without silvicultural management in Czechia. Air sampling took place for 24-h intervals in five months of the main sporulation period. The atmospheric concentration of H. annosum s.l. spores (cHa) was determined by qPCR with generic and species-specific primers. AVST detected more target species than WDE on 77% of sampling occasions. When comparing the relative abundance of the three European H. annosum s.l. species detected by AVST and WDE, H. parviporum and H. abietinum were found to be overrepresented on wood discs. cHa in November was significantly higher than in May and June, confirming the seasonal pattern typical for temperate Europe. For an accurate and rapid estimation of Heterobasidion primary infection risk, the usage of AVST is highly recommended.
Potential of Sentinel-1 Data for Spatially and Temporally High-Resolution Detection of Drought Affected Forest Stands
Authors: Kaiser Philipp , Buddenbaum Henning , Nink Sascha , Hill Joachim
Published: December 2022

A timely and spatially high-resolution detection of drought-affected forest stands is important to assess and deal with the increasing risk of forest fires. In this paper, we present how multitemporal Sentinel-1 synthetic aperture radar (SAR) data can be used to detect drought-affected and fire-endangered forest stands in a spatially and temporally high resolution. Existing approaches for Sentinel-1 based drought detection currently do not allow to deal simultaneously with all disturbing influences of signal noise, topography and visibility geometry on the radar signal or do not produce pixel-based high-resolution drought detection maps of forest stands. Using a novel Sentinel-1 Radar Drought Index (RDI) based on temporal and spatial averaging strategies for speckle noise reduction, we present an efficient methodology to create a spatially explicit detection map of drought-affected forest stands for the year 2020 at the Donnersberg study area in Rhineland-Palatinate, Germany, keeping the Sentinel-1 maximum spatial resolution of 10 m × 10 m. The RDI showed significant (p < 0.05) drought influence for south, south-west and west-oriented slopes. Comparable spatial patterns of drought-affected forest stands are shown for the years 2018, 2019 and with a weaker intensity for 2021. In addition, the assessment for summer 2020 could also be reproduced with weekly repetition, but spatially coarser resolution and some limitations in the quality of the resulting maps. Nevertheless, the mean RDI values of temporally high-resolution drought detection maps are highly correlated (R2 = 0.9678) with the increasing monthly mean temperatures in 2020. In summary, this study demonstrates that Sentinel-1 data can play an important role for the timely detection of drought-affected and fire-prone forest areas, since availability of observations does not depend on cloud cover or time of day.
How Discoloration of Porcine Cruor Hydrolysate Allowed the Identification of New Antifungal Peptides
Authors: Cournoyer Aurore , Thibodeau Jacinthe , Ben Said Laila , Sanchez-Reinoso Zain , Mikhaylin Sergey , Fliss Ismail , Bazinet Laurent
Published: December 2022

Porcine blood is an important by-product from slaughterhouses and an abundant source of proteins. Indeed, cruor, the solid part of blood, is mainly composed of hemoglobin. Its enzymatic hydrolysis with pepsin generates a diversity of peptides, particularly antimicrobials. One of the downsides of using these hydrolysates as food bio-preservatives is the color brought by the heme, which can be removed by discoloration. Nonetheless, the effects of this procedure on the antimicrobial peptide population have not been completely investigated. In this study, its impacts were evaluated on the final antibacterial and antifungal activities of a cruor hydrolysate. The results demonstrated that 38 identified and characterized peptides showed a partial or total decrease in the hydrolysate, after discoloration. Antifungal activities were observed for the raw and discolored hydrolysates: MICs vary between 0.1 and 30.0 mg/mL of proteins, and significant differences were detected between both hydrolysates for the strains S. boulardii, C. guilliermondii, K. marxianus, M. racemosus and P. chrysogenum. The raw hydrolysate showed up to 12 times higher antifungal activities. Hence, peptides with the highest relative abundance decrease after discoloration were synthesized and tested individually. In total, eight new antifungal peptides were characterized as active and promising. To our knowledge, this is the first time that effective antifungal peptide sequences have been reported from porcine cruor hydrolysates.
Sustainable Management of Food Waste during COVID-19 Pandemic: Insights into Irrational Food Hoarding among Chinese Citizens
Authors: Zhang Kangjie , Li Fuduo , Li Huanli , Yin Changbin
Published: December 2022

During the COVID-19 pandemic, food waste caused by excessive hoarding has accounted a large proportion of the total food waste in urban Chinese households, which indicates that reducing food hoarding has become key to managing household food waste. This study therefore explored the behavioral mechanisms underlying excessive food hoarding among citizens. Based on a sample set of 511 respondents surveyed in Beijing, Hefei, and Guiyang in July 2022, a PLS-SEM model was conducted using SmartPLS 3.0 software to simulate the decision-making process of food hoarding. The following results were found. First, among the households with hoarding, 66.37% had some degree of food waste. Second, hoarding preference was the direct predictor of hoarding behavior, which means that hoarding behavior can be effectively controlled by regulating preferences. Third, group influence including homology consistency and social network support, as well as psychological panic, both enhanced citizens’ hoarding preference and induced hoarding behavior. Therefore, it is necessary to weaken group influence and try to help citizens overcome panic. Finally, food supply information release can not only alleviate citizens’ psychological panic and weaken group influence, but also block the transformation of preference into behavior. The above results are of great importance for the design of management policies for food waste caused by irrational hoarding during the pandemic.
Sweet Chestnut (Castanea sativa Mill.) Nutritional and Phenolic Composition Interactions with Chestnut Flavor Physiology
Authors: Santos Maria João , Pinto Teresa , Vilela Alice
Published: December 2022

The European chestnut (Castanea sativa Mill.), is an environmentally and economically important species in Europe, mainly for fruit production. The chestnut fruit is well-known for its nutritional properties, namely its high concentration of carbohydrates (starch) and its low-fat content, as well as being one of the few fruits that do not contain gluten. Due to its chemical and nutritional characteristics beneficial to health, the sweet chestnut is a food recommended at different levels. The biochemistry of the mouth and nose of a human being is very complex. However, understanding the different interactions between the biochemistry of our sensory organs and food helps us to comprehend certain concepts, such as flavor and how it is involved in the sensory evaluation of the chestnuts. For the selection of high-quality products, it is necessary to develop reliable methods both from a qualitative and sensory point of view, and chestnut is a fruit with unique sensory characteristics that can be used in various gastronomic dishes, from main courses to desserts.
A Framework for Comparison and Assessment of Synthetic RNA-Seq Data
Authors: Shakola Felitsiya , Palejev Dean , Ivanov Ivan
Published: December 2022

The ever-growing number of methods for the generation of synthetic bulk and single cell RNA-seq data have multiple and diverse applications. They are often aimed at benchmarking bioinformatics algorithms for purposes such as sample classification, differential expression analysis, correlation and network studies and the optimization of data integration and normalization techniques. Here, we propose a general framework to compare synthetically generated RNA-seq data and select a data-generating tool that is suitable for a set of specific study goals. As there are multiple methods for synthetic RNA-seq data generation, researchers can use the proposed framework to make an informed choice of an RNA-seq data simulation algorithm and software that are best suited for their specific scientific questions of interest.
A Tet-Inducible CRISPR Platform for High-Fidelity Editing of Human Pluripotent Stem Cells
Authors: Jurlina Shawna L. , Jones Melissa K. , Agarwal Devansh , De La Toba Diana V. , Kambli Netra , Su Fei , Martin Heather M. , Anderson Ryan , Wong Ryan M. , Seid Justin , Attaluri Saisantosh V. , Chow Melissa , Wahlin Karl J.
Published: December 2022

Pluripotent stem cells (PSCs) offer an exciting resource for probing human biology; however, gene-editing efficiency remains relatively low in many cell types, including stem cells. Gene-editing using the CRISPR-Cas9 system offers an attractive solution that improves upon previous gene-editing approaches; however, like other technologies, off-target mutagenesis remains a concern. High-fidelity Cas9 variants greatly reduce off-target mutagenesis and offer a solution to this problem. To evaluate their utility as part of a cell-based gene-editing platform, human PSC lines were generated with a high-fidelity (HF) tetracycline-inducible engineered Streptococcus pyogenes SpCas9 (HF-iCas9) integrated into the AAVS1 safe harbor locus. By engineering cells with controllable expression of Cas9, we eliminated the need to include a large Cas9-expressing plasmid during cell transfection. Delivery of genetic cargo was further optimized by packaging DNA targeting guide RNAs (gRNAs) and donor fragments into a single plasmid backbone. The potential of homology-directed repair (HDR) based gene knock-in at the CLYBL safe harbor site and endogenous SOX2 and SIX6 genes were demonstrated. Moreover, we used non-homologous end-joining (NHEJ) for gene knockout of disease-relevant alleles. These high-fidelity CRISPR tools and the resulting HF-iCas9 cell lines will facilitate the production of cell-type reporters and mutants across different genetic backgrounds.
Helsmoortel–Van der Aa Syndrome—Cardiothoracic and Ectodermal Manifestations in Two Patients as Further Support of a Previous Observation on Phenotypic Overlap with RASopathies
Authors: Szabó Tímea Margit , Balogh István , Ujfalusi Anikó , Szűcs Zsuzsanna , Madar László , Koczok Katalin , Bessenyei Beáta , Csürke Ildikó , Szakszon Katalin
Published: December 2022

The ADNP-gene-related neurodevelopmental disorder Helsmoortel–Van der Aa syndrome is a rare syndromic-intellectual disability—an autism spectrum disorder first described by Helsmoortel and Van der Aa in 2014. Recently, a large cohort including 78 patients and their detailed phenotypes were presented by Van Dijck et al., 2019, who reported developmental delay, speech delay and autism spectrum disorder as nearly constant findings with or without variable cardiological, gastroenterological, urogenital, endocrine and neurological manifestations. Among cardiac malformations, atrial septal defect, patent ductus arteriosus, patent foramen ovale and mitral valve prolapse were the most common findings, but other unspecified defects, such as mild pulmonary valve stenosis, were also described. We present two patients with pathogenic ADNP variants and unusual cardiothoracic manifestations—Bland–White–Garland syndrome, pectus carinatum superiorly along the costochondral junctions and pectus excavatum inferiorly in one patient, and Kawasaki syndrome with pericardiac effusion, coronary artery dilatation and aneurysm in the other—who were successfully treated with intravenous immunoglobulin, corticosteroid and aspirin. Both patients had ectodermal and/or skeletal features overlapping those seen in RASopathies, supporting the observations of Alkhunaizi et al. 2018. on the clinical overlap between Helsmoortel–Van der Aa syndrome and Noonan syndrome. We observed a morphological overlap with the Noonan-like disorder with anagen hair in our patients.
TWIST1 Plays Role in Expression of Stemness State Markers in ESCC
Authors: Izadpanah Mohammad Hossein , Forghanifard Mohammad Mahdi
Published: December 2022

Background: Stemness markers play critical roles in the maintenance of key properties of embryonic stem cells (ESCs), including the pluripotency, stemness state, and self-renewal capacities, as well as cell fate decision. Some of these features are present in cancer stem cells (CSCs). TWIST1, as a bHLH transcription factor oncogene, is involved in the epithelial–mesenchymal transition (EMT) process in both embryonic and cancer development. Our aim in this study was to investigate the functional correlation between TWIST1 and the involved genes in the process of CSCs self-renewal in human esophageal squamous cell carcinoma (ESCC) line KYSE-30. Methods: TWIST1 overexpression was enforced in the ESCC KYSE-30 cells using retroviral vector containing the specific pruf-IRES-GFP-hTWIST1 sequence. Following RNA extraction and cDNA synthesis, the mRNA expression profile of TWIST1 and the stem cell markers, including BMI1, CRIPTO1, DPPA2, KLF4, SOX2, NANOG, and MSI1, were assessed using relative comparative real-time PCR. Results: Ectopic expression of TWIST1 in KYSE-30 cells resulted in an increased expression of TWIST1 compared to control GFP cells by nearly 9-fold. Transduction of TWIST1-retroviral particles caused a significant enhancement in BMI1, CRIPTO1, DPPA2, KLF4, and SOX2 mRNA expression, approximately 4.5-, 3.2-, 5.5-, 3.5-, and 3.7-folds, respectively, whereas this increased TWIST1 expression caused no change in the mRNA expression of NANOG and MSI1 genes. Conclusions: TWIST1 gene ectopic expression in KYSE-30 cells enhanced the level of cancer stem cell markers’ mRNA expression. These results may emphasize the role of TWIST1 in the self-renewal process and may corroborate the involvement of TWIST1 in the stemness state capacity of ESCC cell line KYSE-30, as well as its potential as a therapeutic target.
Efficacy and Feasibility of the Minimal Therapist-Guided Four-Week Online Audio-Based Mindfulness Program ‘Mindful Senses’ for Burnout and Stress Reduction in Medical Personnel: A Randomized Controlled Trial
Authors: Luangapichart Pavinee , Saisavoey Nattha , Viravan Natee
Published: December 2022

Previous online mindfulness-based interventions for burnout and stress reduction in medical personnel had limited effect size and high dropout rate, so we developed a new online mindfulness program ‘Mindful Senses (MS)’ with aims to increase effect size and lower dropout rate. To test its efficacy and feasibility, ninety medical personnel with moderate or high levels of burnout and stress from across Thailand were recruited and randomly allocated into Group A and Group B equally. Group A read psychological self-help articles (PSA) and attended MS program through smartphone application during weeks 1–4. Group B read PSA during weeks 1–4 and attended MS program during weeks 9–12. Burnout, stress, anxiety, depression, mindfulness, and quality of life were measured at baseline, week 4, and week 8 for both groups, and at weeks 12 and 16 for Group B. Group x time interaction was analyzed by repeated-measures ANOVA. The results showed that, compared to PSA only, MS + PSA had statistically significant improvement of burnout, stress, anxiety, depression, mindfulness, and quality of life with moderate-to-very large effect sizes at week 4 (d = 1.33, 1.42, 1.04, 1.14, 0.70, and 1.03, respectively) and moderate-to-large effect sizes at week 8 (d = 0.84, 0.98, 0.73, 0.73, 0.66, and 0.94, respectively). The dropout rate was 4.4%. In conclusion, the MS program has potential to be an alternative intervention for medical personnel suffering from burnout and stress.
Future Colorado River Basin Drought and Surplus
Authors: Bedri Rama , Piechota Thomas
Published: December 2022

Historical and future drought and surplus periods in the Colorado River basin are evaluated based on eight climate scenarios. Unimpaired streamflow from 17 stations in the Colorado River are evaluated based on U.S. Geological Survey, Bureau of Reclamation, and Coupled Modeled Intercomparison Projection 5 downscaled data from 1950–2099. Representative Concentration Pathway (RCP) 4.5 and 8.5 emission scenarios are considered for four climate models (HadGEM2-ES, CNRM-CM5, CanESM2, MI-ROC5). Drought (surplus) quantities, magnitudes, severities, and water year flows are compared for the historical and future periods. Results indicate that there is a significant difference between the historical record and future projections. The results are not consistent in terms of increase of drought or surplus; however, the intensity (as measured by magnitude and duration) will likely increase for both RCP 4.5 and 8.5. The CanESM2 and CNRM-CM5 models project wetter scenarios, and HadGEM2 and MI-ROC5 models project drier scenarios. For the critical Lees Ferry station, models indicate a chance of higher drought and surplus length and magnitude on the order of two times the historical period. In addition, basin wide flow at Lees Ferry had a shift in the future mean ensemble of approximately 3–10% for the water year. Future hydrologic changes will heighten the need for appropriate management and infrastructure options available to adapt to these changes.
Forecasting the Status of Municipal Waste in Smart Bins Using Deep Learning
Authors: Ahmed Sabbir , Mubarak Sameera , Du Jia Tina , Wibowo Santoso
Published: December 2022

The immense growth of the population generates a polluted environment that must be managed to ensure environmental sustainability, versatility and efficiency in our everyday lives. Particularly, the municipality is unable to cope with the increase in garbage, and many urban areas are becoming increasingly difficult to manage. The advancement of technology allows researchers to transmit data from municipal bins using smart IoT (Internet of Things) devices. These bin data can contribute to a compelling analysis of waste management instead of depending on the historical dataset. Thus, this study proposes forecasting models comprising of 1D CNN (Convolutional Neural Networks) long short-term memory (LSTM), gated recurrent units (GRU) and bidirectional long short-term memory (Bi-LSTM) for time series prediction of public bins. The execution of the models is evaluated by Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Coefficient determination (R2) and Root Mean Squared Error (RMSE). For different numbers of epochs, hidden layers, dense layers, and different units in hidden layers, the RSME values measured for 1D CNN, LSTM, GRU and Bi-LSTM models are 1.12, 1.57, 1.69 and 1.54, respectively. The best MAPE value is 1.855, which is found for the LSTM model. Therefore, our findings indicate that LSTM can be used for bin emptiness or fullness prediction for improved planning and management due to its proven resilience and increased forecast accuracy.
Environmental Transformational Leadership and Green Innovation in the Hotel Industry: Two Moderated Mediation Analyses
Authors: Elshaer Ibrahim A. , Abdelrahman Manal A. , Azazz Alaa M. S. , Alrawad Mahmaod , Fayyad Sameh
Published: December 2022

This research aims to investigate the relationships between transformational environmental leadership (ETL), organizational citizenship behavior for the environment (OCBE), and green innovation (GI). At the same time, green perceived organizational support (GPOS) and promotion focus (PF) roles were examined as moderators. Integrating transformational leadership, ability-motivation-opportunity (AMO), social exchange, expectancy, and regulatory focus theories, a quantitative research-based methodology was adopted with structural equation modelling (SEM), and smart partial least squares (PLS) program to analyze the obtained data from 388 guest-contact employees. The results show that ETL positively affects OCBE; in return, OCBE mediated the association between ETL and GI. The results also approved the positive moderation effects of the GPOS and PF variables on the association between ETL and OCBE. In the context of the hotel industry, we discuss the implications that these results have for both research and practice.
Determinants of Healthy and Active Ageing in Korea
Authors: Repkine Alexandre , Lee Hyun-Chool
Published: December 2022

Based on a framework developed by the World Health Organization, we construct an individual-level percentage measure of healthy and active ageing employing the results of a unique survey of ten thousand elderly Korean respondents conducted in 2020 and relate its values to the senior respondent’s physical, lifestyle, and socio-economic characteristics. We find that the median value of our healthy and active ageing index is approximately 40%, suggesting significant room for improvement. An important role in interpreting our empirical results is played by the apparent role of Korea’s senior employment as a means of “making ends meet” rather than a way of improving the quality of one’s ageing, suggesting an important direction for government policy development. Our results underscore the importance of promoting higher-quality employment opportunities for senior citizens as opposed to creating these opportunities per se. This appears especially important given the fast pace of Korea’s ageing.
Evaluating the Effect of Nano-SiO2 on Different Types of Soils: A Multi-Scale Study
Authors: Gu Jiayu , Cai Xin , Wang Youqiang , Guo Dahan , Zeng Wen
Published: December 2022

A rapid growth in the population leads to a large increase in engineering construction. This means there is an inevitability in regard to building on problematic soils. Soil reinforcement becomes an important subject due to the fact that it is a concern for engineers and scientists. With the development of nanotechnology, more and more nanomaterials are being introduced within the practice of soil reinforcement engineering. In this study, the reinforcing effect of novel nanomaterial nano-silica (SiO2) applied to different kinds of soils was systematically studied. The nano-SiO2-reinforced soil possessed lower final water evaporation loss, and evaporation rates. The nano-SiO2 increased the shear strength of clayey soil and sandy soil under both cured and uncured conditions, but the reinforcing effect on clayey soil was more obvious. The addition of nano-SiO2 promotes the friction angle and cohesion of clayey soil; further, it also increases the cohesion of sandy soil. The unconfined compressive strength of clayey soil was enhanced by nano-SiO2, meanwhile, the nano-SiO2-reinforced soil possessed greater brittleness. The microstructure of nano-SiO2-reinforced soil is shown via SEM analysis, and the results of X-ray diffraction (XRD) tests show that there are no new mineral components generated during the reinforcing process. It was also found that nano-SiO2 possessed little influence on the soil pH value. Adding nano-SiO2 will not damage the original chemical environment of the soil. The microstructure of nano-SiO2-reinforced soil was observed to prove the results above. In general, nano-SiO2 is an excellent soil additive that can improve the mechanical properties of both clayey soil and sandy soil effectively. This research provides more ideas and directions for the purposes of selecting soil reinforcement materials.
Impact of the COVID-19 Pandemic on Melanoma Diagnosis: Increased Breslow Thickness in Primary Melanomas—A Single Center Experience
Authors: Jeremić Jelena , Suđecki Branko , Radenović Kristina , Mihaljević Jovan , Radosavljević Ivan , Jovanović Milan , Milić Nataša , Pavlović Vedrana , Brašanac Dimitrije , Jović Marko
Published: December 2022

Early melanoma diagnosis plays a key role in ensuring best prognosis with good survival rates. The ongoing global COVID-19 pandemic has greatly impacted global and national healthcare systems, thus making it a real challenge. The aim of this study was to evaluate the impact of the pandemic on diagnostic delay in melanoma patients in Serbia. In this retrospective study, we included patients treated at the university hospital in Serbia’s capitol over a period of five years and three months. We compared the prepandemic (01/JAN/17-14/MAR/20) and pandemic periods (15/MAR/20-31/MAR/22) by evaluating patient demographic data, melanoma subtype, Breslow thickness, Clark level, ulceration status, mitotic index rate and pT staging. We observed a significant reduction in the number of diagnosed patients (86.3 vs. 13.7%; p = 0.036), with melanomas having an increased median Breslow thickness (1.80 vs. 3.00; p = 0.010), a higher percentage of Clark IV–V level lesions (44.0% vs. 63.0%; p = 0.009), an increase in median mitotic index rate (2 vs. 5; p < 0.001) and a trend of increase in lesions thicker than 2 mm (37.8% vs. 53.7%; p = 0.026). We believe that this study can be a useful scenario guide for future similar events, highlighting the importance of preventive measures and timely diagnosis for the best patient outcomes.
Agent-Based Modelling of Health Inequalities following the Complexity Turn in Public Health: A Systematic Review
Authors: Boyd Jennifer , Wilson Rebekah , Elsenbroich Corinna , Heppenstall Alison , Meier Petra
Published: December 2022

There is an increasing focus on the role of complexity in public health and public policy fields which has brought about a methodological shift towards computational approaches. This includes agent-based modelling (ABM), a method used to simulate individuals, their behaviour and interactions with each other, and their social and physical environment. This paper aims to systematically review the use of ABM to simulate the generation or persistence of health inequalities. PubMed, Scopus, and Web of Science (1 January 2013–15 November 2022) were searched, supplemented with manual reference list searching. Twenty studies were included; fourteen of them described models of health behaviours, most commonly relating to diet (n = 7). Six models explored health outcomes, e.g., morbidity, mortality, and depression. All of the included models involved heterogeneous agents and were dynamic, with agents making decisions, growing older, and/or becoming exposed to different health risks. Eighteen models represented physical space and in eleven models, agents interacted with other agents through social networks. ABM is increasingly contributing to our understanding of the socioeconomic inequalities in health. However, to date, the majority of these models focus on the differences in health behaviours. Future research should attempt to investigate the social and economic drivers of health inequalities using ABM.
Development of an Ingestible Expandable Capsule for Weight Loss
Authors: Liu Xingyu , Wu Yeung , Liu Chang , Chen Kaiqi , Gregersen Hans
Published: December 2022

Obesity has grown to epidemic proportions with 2.1 billion people being overweight worldwide. A food-grade expandable capsule named EndoXpand for the treatment of overweight people was designed and developed in this study. EndoXpand consists of an inner expandable material (core), an embracing membrane, and a gelatin capsule shell. It is designed to occupy volume in the stomach and reduce hunger sensation. The occupied volume is changeable over time, dependent on the number of ingested capsules and their degradation time. This will avoid gastric accommodation to constant volume devices as seen in the use of intragastric balloons. Several materials were tested. Collagen casing was selected as the membrane and corn silk was used to tie the membrane. Dried black fungus (Auricularia auricula) was the biological material that expanded most. However, synthesized cellulose-based hydrogel expanded more and was chosen as the optimal expandable core material. The hydrogel-based EndoXpand expanded 72 times after soaking in an acidic environment for 80 min. The corn silk ligations weakened and broke after 3 h. This resulted in release of the expanded material that was designed to easily pass the pylorus and travel down the intestine for digestion or excretion. In conclusion, this study provides design and in vitro proof-of-technology data for a potential groundbreaking approach. Further studies are needed in animal models and human phase I studies.
Hyperglycemia in Pregnancy and Women’s Health in the 21st Century
Authors: McIntyre Harold David , Fuglsang Jens , Kampmann Ulla , Knorr Sine , Ovesen Per
Published: December 2022

Hyperglycemia is the commonest medical condition affecting pregnancy and its incidence is increasing globally in parallel with the twin epidemics of diabetes and obesity. Both pre-pregnancy diabetes and gestational diabetes are associated with short term pregnancy complications, with the risk of immediate complications generally broadly rising with more severe hyperglycemia. In this article we firstly consider these risks and their optimal management during pregnancy and then broaden our scope to consider the long-term implications of hyperglycemia in pregnancy as it relates to overall maternal and offspring health in a life course perspective.
Effects of Jaw-Opening Exercises with/without Pain for Temporomandibular Disorders: A Pilot Randomized Controlled Trial
Authors: Tobe Shoko , Ishiyama Hiroyuki , Nishiyama Akira , Miyazono Keisuke , Kimura Hiroko , Fueki Kenji
Published: December 2022

This study aimed to evaluate the effects of jaw-opening exercises with and without pain on temporomandibular disorders (TMDs), specifically in relation to pain intensity and range-of-mouth opening in patients with TMDs. Participants were randomly assigned to either the jaw-opening exercise with pain (JE w/pain) or the jaw-opening exercise without pain (JE w/o pain) groups, and each exercise was performed for eight weeks. TMDs pain intensity was assessed using a 100-mm visual analog scale (VAS), and the range-of-mouth opening was evaluated at the baseline (T0), 2 weeks (T1), 4 weeks (T2), and 8 weeks (T3). Of the 61 participants, 57 (JE w/pain group, n = 30; JE w/o pain group, n = 27) were included in the analysis. The range-of-mouth opening and TMDs pain intensity improved from T1 to T3 in both groups. The JE w/pain group showed significant differences at T3 compared to T1 (pain-free unassisted mouth opening, p = 0.006; jaw-opening pain, p = 0.014; chewing pain, p = 0.018). In addition, the JE w/pain group showed significantly greater changes in the maximum unassisted mouth opening at T2 and T3 than the JE w/o pain group (T2, p < 0.001; T3, p = 0.003). Thus, jaw-opening exercises, until the occurrence of pain, may be effective in patients with TMDs.
Cognitive Strategies: Moderating the Relationship between Executive Functions and Daily Functioning
Authors: Fogel Yael
Published: December 2022

Whereas prior studies have addressed relationships between cognitive strategies and learning and achievement, very few dealt with their connection to daily functioning. This study examines the moderation effect of the frequency of compensatory cognitive strategy use within that relationship among university students. A sample of 336 students (18–36 years; 180 women, 156 men) answered the Dysexecutive Questionnaire (DEX; executive function components), Time Organization and Participation Scale (TOPS; daily functioning), and Compensatory Cognitive Strategies Scale (CCSS; strategy use). The results showed significant correlations between the DEX and TOPS for three CCSS levels (−1.0, −1.0 to 1.0, and 1.0 SD from average); the higher the frequency of cognitive strategy use, the stronger the association between the DEX and TOPS. The findings suggest that more frequently use of cognitive strategies can strengthen efficient daily functioning.
Review of Policy Framework for the Development of Carbon Capture, Utilization and Storage in China
Authors: Song Dongdong , Jiang Tong , Rao Chuanping
Published: December 2022

Carbon capture, utilization and storage (CCUS) has been applied in many countries and has proven to be a key carbon-reduction technology for the future. China currently emits the most carbon, and prior research findings indicate the high potential of CCUS technology to support the country’s emission-reduction process. China introduced CCUS technology at the end of the 20th century and has since implemented a series of related policies. This paper compares the development status of CCUS in China and other countries, studies the legal and policy framework and the development process of CCUS in China, and analyzes the defects in relevant laws and policies. The results show that China’s current legal and policy system is not conducive to the further development of CCUS; specifically, there is no special law, and the policy system is incomplete. Consequently, it is difficult to advance and give full play to the emission-reduction effect of CCUS. To promote CCUS development in China, this paper proposes corresponding countermeasures, including formulating a special law, perfecting the CCUS policy system, expanding government financial support, and improving CCUS public awareness and support.
Incidence of Upper Body Injuries in Amateur Padel Players
Authors: Muñoz Diego , Coronado Manuel , Robles-Gil María C. , Martín Manuel , Escudero-Tena Adrián
Published: December 2022

The objectives of this study were to analyze the injuries suffered during the previous year by amateur padel players according to the characteristics of the racket, their usual volume of practice and their experience in padel. A total of 950 amateur players (X age: 31.68 years; X weight: 70.84 kg; X height: 170.9 cm) participated voluntarily, completing an ad-hoc questionnaire. The results indicated that the appearance of the injuries and their location was different according to the sex of the amateur padel players. Men had a higher incidence of muscle and ligament injuries in the shoulder, and tendon injuries in the elbow. On the other hand, women had a greater probability of having muscle injuries in the shoulder and arm, ligament injuries in the elbow and bone injuries in the wrist and elbow. In general, tendon injuries were the most common injury in padel and the shoulder and elbow were the most affected areas. Moreover, men tend to use heavy (CSR = 6.0), fiberglass or carbon (CSR = 2.1), diamond-shaped rackets (CSR = 3.2), with a hard core (CSR = 4.4) and with two or more over grips (CSR = 2.7). Women usually use less heavy (CSR = 6.0), round-shaped rackets (CSR = 4.9), with a soft core (CSR = 4.4) and with one or no over grips (CSR = 2.7). In addition, men tend to play padel more often and have been practicing for longer. In conclusion, although the risk of injury depends on many factors, we identified that the characteristics of the racket, the volume of weekly practice, the experience of the player and the gender of the player are fundamental aspects to take into account for the prevention of injuries in amateur padel players.
Medical QA Oriented Multi-Task Learning Model for Question Intent Classification and Named Entity Recognition
Authors: Tohti Turdi , Abdurxit Mamatjan , Hamdulla Askar
Published: December 2022

Intent classification and named entity recognition of medical questions are two key subtasks of the natural language understanding module in the question answering system. Most existing methods usually treat medical queries intent classification and named entity recognition as two separate tasks, ignoring the close relationship between the two tasks. In order to optimize the effect of medical queries intent classification and named entity recognition tasks, a multi-task learning model based on ALBERT-BILSTM is proposed for intent classification and named entity recognition of Chinese online medical questions. The multi-task learning model in this paper makes use of encoder parameter sharing, which enables the model’s underlying network to take into account both named entity recognition and intent classification features. The model learns the shared information between the two tasks while maintaining its unique characteristics during the decoding phase. The ALBERT pre-training language model is used to obtain word vectors containing semantic information and the bidirectional LSTM network is used for training. A comparative experiment of different models was conducted on Chinese medical questions dataset. Experimental results show that the proposed multi-task learning method outperforms the benchmark method in terms of precision, recall and F1 value. Compared with the single-task model, the generalization ability of the model has been improved.