bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of Reduced Image Noise on Deauville Scores in Patients with Lymphoma Scanned on a Long-Axial Field-of-View PET/CT-Scanner
Authors: Korsholm Kirsten , Overbeck Nanna , Dias André H. , Loft Annika , Andersen Flemming Littrup , Fischer Barbara Malene
Published: March 2023

Background: Total body and long-axial field-of-view (LAFOV) PET/CT represent visionary innovations in imaging enabling either improved image quality, reduction in injected activity–dose or decreased acquisition time. An improved image quality may affect visual scoring systems, including the Deauville score (DS), which is used for clinical assessment of patients with lymphoma. The DS compares SUVmax in residual lymphomas with liver parenchyma, and here we investigate the impact of reduced image noise on the DS in patients with lymphomas scanned on a LAFOV PET/CT. Methods: Sixty-eight patients with lymphoma underwent a whole-body scan on a Biograph Vision Quadra PET/CT-scanner, and images were evaluated visually with regard to DS for three different timeframes of 90, 300, and 600 s. SUVmax and SUVmean were calculated from liver and mediastinal blood pool, in addition to SUVmax from residual lymphomas and measures of noise. Results: SUVmax in liver and in mediastinal blood pool decreased significantly with increasing acquisition time, whereas SUVmean remained stable. In residual tumor, SUVmax was stable during different acquisition times. As a result, the DS was subject to change in three patients. Conclusions: Attention should be drawn towards the eventual impact of improvements in image quality on visual scoring systems such as the DS.
Decision-Making Teaching Practice Based on the Maximum Entropy Method in a Water Engineering Economics Course
Authors: Zhou Runjuan , Sun Yingke , Shao Shuai , Zhang Kuo , Zhang Ming
Published: March 2023

The purpose of this paper is to put forward a decision model with wide applicability and differentiated decision scheme scores so as to improve the ability of students to learn during a water engineering economics course. The main novelty and contributions of this paper are that the multi-attribute decision-making method proposed is more objective and does not require rich subjective experience from decision-makers in the application process, which is particularly suitable for beginners who are learning in a water engineering economics course. The method involves standardizing each index value of the decision scheme first, constructing the objective function of maximum entropy distribution, calculating the weight of each index by the genetic algorithm, and finally ranking the pros and cons of the scheme according to the score of each scheme. The example results of three water engineering scheme decisions show that the maximum entropy model proposed in this paper can achieve reasonable decision results, and there is a large degree of differentiation between the decision schemes. The proposed scheme, a decision maximum entropy model, has wide applicability, can improve the rationality of the decisions made regarding water engineering schemes, and can be popularized and applied when teaching decision-making in water engineering economics courses.
A Conceptual Model of the Factors Affecting Education Policy Implementation
Authors: Muthanna Abdulghani , Sang Guoyuan
Published: March 2023

Implementing education policy is crucial for achieving policy goals, and several factors lead to the success or failure of this vital endeavour. Drawing upon a policy document critical review, observational research and in-depth, audio-recorded interviews with 93 participants, this article reports on the key factors that hindered the implementation of the national strategy for the development of higher education (NSDHE) in Yemen; the main factors are the implementers’ lack of information combined with lack of commitment by university leaders; the use of strategy top-down planning; a lack of funding coupled with financial corruption; the absence of an institutional strategy; the presence of eco-political challenges; and a lack of basic infrastructure (e.g., classrooms, teaching aids, offices, and toilets). The article also provides a simple conceptual model for these key factors. The findings offer direct benefits that will help policy formulators and implementers enhance the formulation and implementation of present and future education policies.
Natural Disaster Prevention Literacy Education among Vietnamese High School Students
Authors: Vu Bay Dinh , Nguyen Hien Thi , Dinh Hong-Van Thi , Nguyen Quynh-Anh Ngoc , Ha Xuan Van
Published: March 2023

Research has shown that natural disasters can be prevented or mitigated effectively through education which provides knowledge and skills for the young generation to protect themselves and act to protect the community. The current study investigated the level of natural-disaster-prevention literacy and analyzed its predictors among high school students in Vietnam. This study adopted a cross-sectional school-based design, using an online survey. There were 807 students from seven public schools participating in this study. The results show that the natural-disaster-prevention knowledge, perception, skills, and overall literacy are above average, with knowledge having the highest score. Significant differences exist in natural-disaster-prevention literacy and its components by gender, grade, location, and residence. Age, location, residence, knowledge, and perception can predict participants’ skills of natural-disaster prevention. This study highlights the necessity of teaching natural-disaster prevention in schools, across grades, and focusing on providing the students with the knowledge and perception needed to improve their natural-disaster-prevention skills. This will contribute to helping the country meet the goal of education for sustainable development.
Design and Validation of a Classroom Observation Instrument to Evaluate the Quality of Mathematical Activity from a Gender Perspective
Authors: Espinoza Salfate Lorena , Guerrero Gonzalo , Barbé Farré Joaquim , Márquez Salinas Felipe
Published: March 2023

This study aimed to design and validate an instrument as a guideline for classroom observation and analysis of teaching–learning process in mathematics. The instrument considers 3 dimensions and 16 subdimensions with a gender perspective. A content validity process by eight expert judges is presented, built from a dialectical work between theory and empirical evidence from more than 100 classes observed and recorded on video from 19 educational centers. The degree of agreement between experts was determined with Fleiss Kappa and Kendall coefficients. Experts’ judgement scored each dimension from 1 to 3. Globally, an almost perfect strength of agreement was obtained in 6 of 16 dimensions with x->2.5, and in the other 10 dimensions, a strength of agreement was obtained between moderate and almost perfect, 2,14≤x-≤2,5. Fleiss Kappa coefficients were highest in relevance and clarity, κ = 0.425, 95% CI [0.344, 0.506], p < 0.001 and, κ = 0.461, 95% CI [0.375, 0.548], p < 0.001, respectively. Moreover, the degree of clarity, coherence, sufficiency, and relevance was statistically moderately agreed upon in their assessments, with an overall Kendall’s W = 0.489, p < 0.001.
Condition Assessment and Analysis of Bearing of Doubly Fed Wind Turbines Using Machine Learning Technique
Authors: Mahar Aiman Abbas , Mirjat Nayyar Hussain , Chowdhry Bhawani S. , Kumar Laveet , Tran Quynh T. , Zizzo Gaetano
Published: March 2023

Condition monitoring of wind turbines is progressively increasing to maintain the continuity of clean energy supply to power grids. This issue is of great importance since it prevents wind turbines from failing and overheating, as most wind turbines with doubly fed induction generators (DFIG) are overheated due to faults in generator bearings. Bearing fault detection has become a main topic targeting the optimum operation, unscheduled downtime, and maintenance cost of turbine generators. Wind turbines are equipped with condition monitoring devices. However, effective and reliable fault detection still faces significant difficulties. As the majority of health monitoring techniques are primarily focused on a single operating condition, they are unable to effectively determine the health condition of turbines, which results in unwanted downtimes. New and reliable strategies for data analysis were incorporated into this research, given the large amount and variety of data. The development of a new model of the temperature of the DFIG bearing versus wind speed to identify false alarms is the key innovation of this work. This research aims to analyze the parameters for condition monitoring of DFIG bearings using SCADA data for k-means clustering training. The variables of k are obtained by the elbow method that revealed three classes of k (k = 0, 1, and 2). Box plot visualization is used to quantify data points. The average rotation speed and average temperature measurement of the DFIG bearings are found to be primary indicators to characterize normal or irregular operating conditions. In order to evaluate the performance of the clustering model, an analysis of the assessment indices is also executed. The ultimate goal of the study is to be able to use SCADA-recorded data to provide advance warning of failures or performance issues.
Investigating the Impact of Grid-Tied Photovoltaic System in the Aljouf Region, Saudi Arabia, Using Dynamic Reactive Power Control
Authors: Saidi Abdelaziz Salah , Alsharari Fahad , Ahmed Emad M. , Al-Gahtani Saad F. , Irshad Shaik Mohammad , Alalwani Sami
Published: March 2023

Due to uncertain photovoltaic (PV) power generation, analyzing the voltage stability of transmission networks with a large PV plant is challenging. The stability of PV output power is a critical factor in establishing PV penetration levels in active transmission networks when assessing loading capabilities. Therefore, this article contributes to enhancing the understanding of how a static synchronous compensator (STATCOM) could be used as part of the power system network. STATCOMs are often used to improve the static and transient voltage, maintain transmission limits, and reduce low-frequency disturbances. With the help of a STATCOM unit, a proper investigation and analysis of dynamic voltage stability in a transmission system are presented. The validity of the study is evaluated by the Saudi Arabia grid code (SAGC). The system being tested is comprised of a 300 MW PV plant in Sakaka, Saudi Arabia, integrated into a 17-bus transmission power network and a STATCOM, which is employed at one of the buses. PSAT software is used to evaluate a number of case studies to determine the transient voltage stability with and without the STATCOM and the PV plant. The simulation findings demonstrate how STATCOM functions to improve the quality of the power system in accordance with the SAGC. In addition, the analysis of voltage stability demonstrates that the power network’s resilience to short circuits at the PV system’s grid connection point significantly impacts the voltage’s dynamic behavior.
Energy Efficiency and Economic Policy: Comprehensive Theoretical, Empirical, and Policy Review
Authors: Mushafiq Muhammad , Arisar Muzammil Muhammad Khan , Tariq Hanan , Czapp Stanislaw
Published: March 2023

In this paper, we analyze the role of economic policy in prompting energy efficiency. This study reviews three aspects, theoretical, empirical, and existing policies to evaluate the relationship of energy efficiency and economic policy. This study furthermore identifies the existing issues from a policy perspective in energy efficiency. Although not all public policies may be justified, it suggests that these types of financial incentives, particularly those based on economic instruments, can play a crucial role in advancing energy efficiency. Additionally, this study identifies existing issues in energy efficiency target achievement and proposes solutions based on the literature review. Finally, it provides possible future research pathways from the aspect of economic policy tools in energy efficiency.
Deep Learning-Based Transformer Moisture Diagnostics Using Long Short-Term Memory Networks
Authors: Vatsa Aniket , Hati Ananda Shankar , Bolshev Vadim , Vinogradov Alexander , Panchenko Vladimir , Chakrabarti Prasun
Published: March 2023

Power transformers play a crucial role in maintaining the stability and reliability of energy systems. Accurate moisture assessment of transformer oil-paper insulation is critical for ensuring safe operating conditions and power transformers’ longevity in large interconnected electrical grids. The moisture can be predicted and quantified by extracting moisture-sensitive dielectric feature parameters. This article suggests a deep learning technique for transformer moisture diagnostics based on long short-term memory (LSTM) networks. The proposed method was tested using a dataset of transformer oil moisture readings, and the analysis revealed that the LSTM network performed well in diagnosing oil insulation moisture. The method’s performance was assessed using various metrics, such as R-squared, mean absolute error, mean squared error, root mean squared error, and mean signed difference. The performance of the proposed model was also compared with linear regression and random forest (RF) models to evaluate its effectiveness. It was determined that the proposed method outperformed traditional methods in terms of accuracy and efficiency. This investigation demonstrates the potential of a deep learning approach for identifying transformer oil insulation moisture with a R2 value of 0.899, thus providing a valuable tool for power system operators to monitor and manage the integrity of their transformer fleet.
Application of Industrial Wastewater and Sewage Sludge for Biohydrogen Production
Authors: Šabić Runjavec Monika , Vuković Domanovac Marija , Jukić Ante
Published: March 2023

Recent technological developments have led to a significant increase in energy consumption in daily life. The search for alternative means of energy production has become an important task for applied sciences and modern technology. Hydrogen technology has great potential as a source of clean energy. The production of green hydrogen is a desirable and beneficial way to contribute to the decarbonization of the energy sector. In response to the demand for environmentally friendly and economically feasible approaches, biohydrogen production from waste materials has recently attracted interest. Waste materials from industrial or municipal production can be used as low-cost substrates for biohydrogen production through microbial degradation. Green energy needs could be met through a form of sustainable development that moves hand in hand with the harnessing of the microbial potential of waste biomass. Reuse of waste materials leads to pollution reductions and energy recycling. The aim of this review is to provide informative insights for researchers and engineers to help them better understand microbial biohydrogen production from low-cost waste substrates, such as industrial wastewater and waste activated sludge.
Optimal Configuration of Extreme Fast Charging Stations Integrated with Energy Storage System and Photovoltaic Panels in Distribution Networks
Authors: Wu Zhouquan , Bhat Pradeep Krishna , Chen Bo
Published: March 2023

Extreme fast charging (XFC) for electric vehicles (EVs) has emerged recently because of the short charging period. However, the extreme high charging power of EVs at XFC stations may severely impact distribution networks. This paper addresses the estimation of the charging power demand of XFC stations and the design of multiple XFC stations with renewable energy resources in current distribution networks. First, a Monte Carlo (MC) simulation tool was created utilizing the EV arrival time and state-of-charge (SOC) distributions obtained from the dataset of vehicle travel surveys. Various impact factors are considered to obtain a realistic estimation of the charging power demand of XFC stations. Then, a method for determining the optimal energy capacity of the energy storage system (ESS), ESS rated power, and size of photovoltaic (PV) panels for multiple XFC stations in a distribution network is presented, with the goal of achieving an optimal configuration. The optimal power flow technique is applied to this optimization so that the optimal solutions meet not only the charging demand but also the operational constraints related to XFC, ESS, PV panels, and distribution networks. Simulation results of a use case indicate that the presented MC simulation can estimate approximate real-world XFC charging demand, and the optimized ESS and PV units in multiple XFC stations in the distribution network can reduce the annual total cost of XFC stations and improve the performance of the distribution network.
Gravitational Deformation and Reactivation Mechanism of a Fault-Bounded Slope, Eastern Yanshan Mountains, China
Authors: Sun Hao , Li Tiantao , Pei Xiangjun , Guo Jian , Tian Jingjing , Wang Shoudao , Pu Mingfang
Published: March 2023

The Nandongzi landslide occurred in the Yanshan region of North China. From 2017, the slope of the Nandongzi landslide has been significantly deformed after several excavations. Field investigations show that the Nandongzi landslide is a special toppling deposit that does not have basic toppling conditions. The toppling deformation mechanism of the slope has become a difficult issue for engineers, attracting the attention of scientists. Joint, surface, and borehole lithology surveys revealed the surface and internal structural characteristics of the slope. The structure of the soft and hard interbedded rock and the proximity of the fault are the dominant factors of slope toppling deformation. The slope toppling failure process can be divided into four stages: initial deformation, compression and bending, toppling and overlapping, and reactivation. In the first three stages, slope toppling deformation is triggered by the downcutting of the upstream gully, gravity, and differential weathering of soft and hard rocks, which promote the dumping deformation of the slope. In the final stage, engineering excavations triggered the reactivation of residual deposits. Monitoring data indicate that slope deformation is directly related to rainfall events. Flac 3D was used to simulate the slope failure process under natural and rainfall conditions after the two excavations. The results show that multiple excavations changed the surface and runoff conditions of the slope, which led to slope failure. Rainfall promoted deformation of the back edge of the landslide, which led to shear failure from the back edge to the front edge. Our results provide new and unique understanding into the spatiotemporal evolution and deformation mechanism of similar toppling-accumulation landslides around the study area.
The Complete Mitochondrial Genome of Dendrogale murina (Tupaiidae) and Phylogeny of Scandentia
Authors: Petrova Tatyana , Bondareva Olga , Bodrov Semyon , Abramov Alexei , Abramson Natalia
Published: March 2023

In this paper, we report the complete mitochondrial genome of the northern smooth-tailed treeshrew Dendrogale murina, which was sequenced for the first time using the Illumina next-generation sequencing (NGS) technology. The total length of the mitochondrial genome is 16,844–16,850 bp and encodes 37 genes, including two ribosomal RNAs (rRNAs) 12S and 16S, 22 transfer RNAs (tRNAs), 13 protein-coding genes (PCGs), and a D-loop in the characteristic arrangement of family Tupaiidae (Mammalia: Scandentia). The overall base composition of the complete mitochondrial DNA is A (33.5%), C (25.5%), G (13.9%), and T (27.1%). Phylogenetic analysis of Scandentia mitochondrial genomes showed a classic pattern, which was revealed previously while using individual phylogenetic markers. The result of the current study is consistent with one based on the latest morphological studies, with the basal position of Ptilocercus and Dendrogale sister to the rest of the Tupaiidae genera. The divergence time of the Dendrogale genus is estimated as Eocene–Oligocene, with the mean value of 35.8 MYA, and the Ptilocercus genus probably separated at about 46.3 MYA. We observe an increase in the age of all nodes within the Scandentia, except for a decrease in the age of separation of Ptilocercus. This result can be explained both by the addition of new mitochondrial genome data in the analysis and the usage of new calibration points from recently published data.
Nisyros Aspiring UNESCO Global Geopark: Crucial Steps for Promoting the Volcanic Landscape’s Unique Geodiversity
Authors: Nomikou Paraskevi , Panousis Dimitrios , Nikoli Elisavet , Antoniou Varvara , Emmanouloudis Dimitrios , Pehlivanides Georgios , Agiomavritis Marios , Nastos Panagiotis , Cieslak-Jones Emma , Batis Aris
Published: March 2023

Nisyros Geopark, an island geopark in the Southeastern Aegean Sea, Greece, is here presented as an official candidate for the UNESCO Global Geoparks designation, featuring outstanding geological, natural and cultural characteristics tightly connected to its volcanic origin. It covers a total area of 481 km2 and includes Nisyros, an active volcano and the main island, the surrounding islets of Pachia, Strongyli, Pergousa, Kandeliousa and the marine region among them. It features 24 geosites and a network of well-established walking trails. Furthermore, there are two internationally designated Natura 2000 areas covering its entire surface and also exceptional archaeological and cultural sites, including fortresses, remnants of ancient habituations and numerous churches and monasteries. It is the only area in the broader region of the Eastern Mediterranean that hosts all these features within such a restricted area. The initial efforts of the management body of Nisyros Geopark and its scientific team to promote its unique geodiversity included the complete design, construction and launch of the official website, the mobile application “Nisyros Volcano App’’, a modern informative leaflet regarding the region of the hydrothermal craters (Lakki), a Geopark guidebook and a series of panels and signs for the geosites.
Are Real-World Prosociality Programs Associated with Greater Psychological Well-Being in Primary School-Aged Children?
Authors: Proulx Jason D. E. , Van de Vondervoort Julia W. , Hamlin J. Kiley , Helliwell John F. , Aknin Lara B.
Published: March 2023

Quality education can build a sustainable, happier world, but what experiences support student well-being? Numerous laboratory studies suggest that prosocial behavior predicts greater psychological well-being. However, relatively little work has examined whether real-world prosociality programs are associated with greater well-being in primary school-aged children (aged 5–12). In Study 1, we surveyed 24/25 students who completed their 6th Grade curriculum in a long-term care home alongside residents called “Elders,” which offered numerous opportunities for planned and spontaneous helping. We found that the meaning that students derived from their prosocial interactions with the Elders was strongly associated with greater psychological well-being. In Study 2, we conducted a pre-registered field experiment with 238 primary school-aged children randomly assigned to package essential items for children who experience homelessness and/or poverty who were either demographically similar or dissimilar in age and/or gender to them as part of a classroom outing. Children self-reported their happiness both pre- and post-intervention. While happiness increased from pre- to post-intervention, this change did not differ for children who helped a similar or dissimilar recipient. These studies offer real-world evidence consistent with the possibility that engaging in prosocial classroom activities—over an afternoon or year—is associated with greater psychological well-being in primary school-aged children.
HUG: A Compassionate Approach to Designing for Wellbeing in Dementia Care
Authors: Treadaway Cathy , Seckam Abdul , Fennell Jac , Taylor Aidan
Published: March 2023

Design can improve the quality of life of people living with dementia but creating successful design solutions is not simple, due to the complexity of the medical condition, and the ethical considerations of including those affected in design research and evaluation. This article describes research involving an interactive product, ‘HUG’, developed from academic research, to support the wellbeing of people living with advanced dementia, which is now commercially available. People affected by dementia were included at every stage in the design research process. The evaluation of HUG took place in both hospital and care home contexts with 40 participants living with dementia. In this paper, a qualitative hospital study is described, in which patients received a HUG on prescription. Findings reveal that although HUG was rejected by some, those patients who did accept it benefitted significantly. Not only did the device reduce distress, anxiety and agitation but it also helped with patient compliance in medical procedures, aspects of daily care and enhanced communication and socialisation. The Alzheimer’s Society’s accelerator partnership funding has enabled this product to be manufactured and made commercially available so that the benefits of this academic design research can be made more widely available to people living with dementia.
The Behavioral and Social Dimension of the Public Health System of European Countries: Descriptive, Canonical, and Factor Analysis
Authors: Vasylieva Tetiana , Gavurova Beata , Dotsenko Tetiana , Bilan Svitlana , Strzelec Marcin , Khouri Samer
Published: March 2023

Background: The state and prospects of the healthcare industry of a country are among its top priorities because the quality of life and health of its citizens are indicators of its success and competitiveness. The aim of this study is to conduct a theoretical analysis and qualitative and quantitative assessments of indicators by developing an integral indicator in the context of behavioral, social, demographic, and economic factors that characterize the level of healthcare system development in European countries using multivariate statistical modeling methods. Methods: The study was implemented using Statistica 10 and Statistica Portable statistical packages. The statistical base of the study was formed using descriptive analysis; a group of 10 European countries was identified using a cluster analysis based on the application of an iterative divisive k-means method. The degree and significance of the interrelations between the components characterizing the studied groups of indicators were determined using canonical correlations by conducting a canonical analysis. Factor modeling is conducted by applying the analysis of the main components to determine the relevant indicators for assessing the level of healthcare system development to build integral indicators of the level of healthcare system development in European countries. Results: The need to improve the level of healthcare system development in European countries was confirmed. Shortcomings and possible reserves for potential improvement of the healthcare system were identified. Conclusions: The results can help public authorities, officials and employees of the healthcare sector organize and conduct effective, timely, high-quality regulation and adjustment of the regulatory and legislative framework to improve healthcare system development.
Automated Monkeypox Skin Lesion Detection Using Deep Learning and Transfer Learning Techniques
Authors: Jaradat Ameera S. , Al Mamlook Rabia Emhamed , Almakayeel Naif , Alharbe Nawaf , Almuflih Ali Saeed , Nasayreh Ahmad , Gharaibeh Hasan , Gharaibeh Mohammad , Gharaibeh Ali , Bzizi Hanin
Published: March 2023

The current outbreak of monkeypox (mpox) has become a major public health concern because of the quick spread of this disease across multiple countries. Early detection and diagnosis of mpox is crucial for effective treatment and management. Considering this, the purpose of this research was to detect and validate the best performing model for detecting mpox using deep learning approaches and classification models. To achieve this goal, we evaluated the performance of five common pretrained deep learning models (VGG19, VGG16, ResNet50, MobileNetV2, and EfficientNetB3) and compared their accuracy levels when detecting mpox. The performance of the models was assessed with metrics (i.e., the accuracy, recall, precision, and F1-score). Our experimental results demonstrate that the MobileNetV2 model had the best classification performance with an accuracy level of 98.16%, a recall of 0.96, a precision of 0.99, and an F1-score of 0.98. Additionally, validation of the model with different datasets showed that the highest accuracy of 0.94% was achieved using the MobileNetV2 model. Our findings indicate that the MobileNetV2 method outperforms previous models described in the literature in mpox image classification. These results are promising, as they show that machine learning techniques could be used for the early detection of mpox. Our algorithm was able to achieve a high level of accuracy in classifying mpox in both the training and test sets, making it a potentially valuable tool for quick and accurate diagnosis in clinical settings.
Association between Toxoplasma gondii Infection and Type-1 Diabetes Mellitus: A Systematic Review and Meta-Analysis
Authors: Catchpole Ashley , Zabriskie Brinley N. , Bassett Pierce , Embley Bradley , White David , Gale Shawn D. , Hedges Dawson
Published: March 2023

Type-1 diabetes, an autoimmune disease characterized by damage to pancreatic insulin-producing beta cells, is associated with adverse renal, retinal, cardiovascular, and cognitive outcomes, possibly including dementia. Moreover, the protozoal parasite Toxoplasma gondii has been associated with type-1 diabetes. To better characterize the association between type-1 diabetes and Toxoplasma gondii infection, we conducted a systematic review and meta-analysis of published studies that evaluated the relationship between type-1 diabetes and Toxoplasma gondii infection. A random-effects model based on nine primary studies (total number of participants = 2655) that met our inclusion criteria demonstrated a pooled odds ratio of 2.45 (95% confidence interval, 0.91–6.61). Removing one outlying study increased the pooled odds ratio to 3.38 (95% confidence interval, 2.09–5.48). These findings suggest that Toxoplasma gondii infection might be positively associated with type-1 diabetes, although more research is needed to better characterize this association. Additional research is required to determine whether changes in immune function due to type-1 diabetes increase the risk of infection with Toxoplasma gondii, infection with Toxoplasma gondii increases the risk of type-1 diabetes, or both processes occur.
The Mediatory Role of the Boredom and Loneliness Dimensions in the Development of Problematic Internet Use
Authors: Orsolini Laura , Longo Giulio , Volpe Umberto
Published: March 2023

In recent years, there has been a gradual digitalization of our society, resulting in intensified technology use for daily life activities, including the emergence of problematic Internet use (PIU). Few studies specifically addressed the boredom and loneliness dimensions in mediating the association between depression, anxiety, and stress levels and the onset of PIU. A nationwide population-based cross-sectional case-control study was carried out by recruiting a sample of Italian young people (aged 18–35). Only 1643 participants were selected for the analyses based on the age and the presence versus absence of PIU. Participants were mainly females (68.7%), with a mean age of 21.8 (SD = 1.7). Non-PIU individuals had significantly stable relationships (p = 0.012), siblings (p = 0.044) and lived with their family (p = 0.010), compared to PIU. PIU individuals displayed significantly higher depression, anxiety, and stress, as well as higher loneliness and boredom levels (all p < 0.001), compared to non-PIU. Depressive symptomatology predicted PIU and that their interaction is positively double mediated by boredom and loneliness (ß = 0.3829 (0.0245), 95%CI = 0.3349–0.4309). Our findings suggested that boredom and loneliness dimensions could act as mediators in the association between depressive symptomatology and the likelihood of PIU onset and maintenance.
Impact of Landfill Gas Exposure on Vegetation in Engineered Landfill Biocover Systems Implemented to Minimize Fugitive Methane Emissions from Landfills
Authors: Attalage Dinu S. , Hettiaratchi J. Patrick A. , Chu Angus , Pokhrel Dinesh , Jayasinghe Poornima A.
Published: March 2023

Engineered landfill biocovers (LBCs) minimize the escape of methane into the atmosphere through biological oxidation. Vegetation plays a crucial role in LBCs and can suffer from hypoxia caused by the displacement of root-zone oxygen due to landfill gas and competition for oxygen with methanotrophic bacteria. To investigate the impact of methane gas on vegetation growth, we conducted an outdoor experiment using eight vegetated flow-through columns filled with a 45 cm mixture of 70% topsoil and 30% compost, planted with three types of vegetation: native grass blend, Japanese millet, and alfalfa. The experiment included three control columns and five columns exposed to methane, as loading rates gradually increased from 75 to 845 gCH4/m2/d over a period of 65 days. At the highest flux, we observed a reduction of 51%, 31%, and 19% in plant height, and 35%, 25%, and 17% in root length in native grass, Japanese millet, and alfalfa, respectively. The column gas profiles indicated that oxygen concentrations were below the levels required for healthy plant growth, which explains the stunted growth observed in the plants used in this experiment. Overall, the experimental results demonstrate that methane gas has a significant impact on the growth of vegetation used in LBCs.
Subjective Well-Being in Organizations: Effects of Internal Ethical Context and Ethical Leadership
Authors: Paralta Rita , Simões Eduardo , Duarte Ana Patrícia
Published: March 2023

The literature rarely addresses the possible effects of organizations’ internal ethical context on their employees’ subjective well-being, that is, people’s evaluation of their lives based on positive and negative emotional experiences and perceived life satisfaction. This study explored how internal ethical context’s components—specifically ethics codes, ethics programs’ scope and perceived relevance, and perceived corporate social responsibility practices—are related to workers’ subjective well-being. Ethical leadership’s possible leveraging of ethical context variables’ effect on subjective well-being was also examined. The data were collected from 222 employees from various organizations in Portugal using an electronic survey. The results from multiple regression analyses indicate that organizations’ internal ethical context positively affects employees’ subjective well-being. This impact is mediated by ethical leadership, suggesting that leaders play a crucial role in highlighting and embodying their organization’s ethical norms and orientation, thereby directly influencing their staff members’ subjective well-being.
Technical Efficiency Evaluation of Primary Health Care Institutions in Shenzhen, China, and Its Policy Implications under the COVID-19 Pandemic
Authors: Chen Shujuan , Li Yue , Zheng Yi , Wu Binglun , Bardhan Ronita , Wu Liqun
Published: March 2023

(1) Background: Primary health care institutions (PHCI) play an important role in reducing health inequities and achieving universal health coverage. However, despite the increasing inputs of healthcare resources in China, the proportion of patient visits in PHCI keeps declining. In 2020, the advent of the COVID-19 pandemic further exerted a severe stress on the operation of PHCI due to administrative orders. This study aims to evaluate the efficiency change in PHCI and provide policy recommendations for the transformation of PHCI in the post-pandemic era. (2) Methods: Data envelope analysis (DEA) and the Malmquist index model were applied to estimate the technical efficiency of PHCI in Shenzhen, China, from 2016 to 2020. The Tobit regression model was then used to analyze the influencing factors of efficiency of PHCI. (3) Results: The results of our analysis reflect considerable low levels of technical efficiency, pure technical efficiency, and scale efficiency of PHCI in Shenzhen, China, in 2017 and 2020. Compared to years before the epidemic, the productivity of PHCI decreased by 24.6% in 2020, which reached the nadir, during the COVID-19 pandemic along with the considerable reduction of technological efficiency, despite the significant inputs of health personnel and volume of health services. The growth of technical efficiency of PHCI is significantly affected by the revenue from operation, percentage of doctors and nurses in health technicians, ratio of doctors and nurses, service population, proportion of children in the service population, and numbers of PHCI within one kilometer. (4) Conclusion: The technical efficiency significantly declines along with the COVID-19 outbreak in Shenzhen, China, with the deterioration of underlying technical efficiency change and technological efficiency change, regardless of the immense inputs of health resources. Transformation of PHCI such as adopting tele-health technologies to maximize primary care delivery is needed to optimize utilization of health resource inputs. This study brings insights to improve the performances of PHCI in China in response to the current epidemiologic transition and future epidemic outbreaks more effectively, and to promote the national strategy of Healthy China 2030.
A National Portrait of Public Attitudes toward Opioid Use in the US: A Latent Class Analysis
Authors: Walters Suzan M. , Liu Weiwei , Lamuda Phoebe , Huh Jimi , Brewer Russell , Johnson O’Dell , Bluthenthal Ricky N. , Taylor Bruce , Schneider John A.
Published: March 2023

Background: Opioid overdose rates have steadily been increasing in the United States (US) creating what is considered an overdose death crisis. The US has a mixture of public health and punitive policies aimed to address opioid use and the overdose crisis, yet little is known about public opinion relating to opioid use and policy support. Understanding the intersection of public opinion about opioid use disorder (OUD) and policy can be useful for developing interventions to address policy responses to overdose deaths. Methods: A national sample of cross-sectional data from the AmeriSpeak survey conducted from 27 February 2020 through 2 March 2020 was analyzed. Measures included attitudes toward OUD and policy beliefs. Latent class analysis, a person-centered approach, was used to identify groups of individuals endorsing similar stigma and policy beliefs. We then examined the relationship between the identified groups (i.e., classes) and key behavioral and demographic factors. Results: We identified three distinct groups: (1) “High Stigma/High Punitive Policy”, (2) “High Stigma/Mixed Public Health and Punitive Policy”, and (3) “Low Stigma/High Public Health Policy”. People with higher levels of education had reduced odds of being in the “High Stigma/High Punitive Policy” group. Conclusion: Public health policies are most effective in addressing OUD. We suggest targeting interventions toward the “High Stigma/Mixed Public Health and Punitive Policy” group since this group already displays some support for public health policies. Broader interventions, such as eliminating stigmatizing messaging in the media and redacting punitive policies, could reduce OUD stigma among all groups.
Leveraging Digital Technology to Support Pregnant and Early Parenting Women in Recovery from Addictive Substances: A Scoping Review
Authors: Raynor Phyllis , Corbett Cynthia , West Delia , Johnston D’Arion , Eichelberger Kacey , Litwin Alain , Guille Constance , Prinz Ron
Published: March 2023

Little is known about digital health interventions used to support treatment for pregnant and early parenting women (PEPW) with substance use disorders (SUD). Methods: Guided by the Arksey and O’Malley’s Scoping Review Framework, empirical studies were identified within the CINAHL, PsycInfo, PubMed, and ProQuest databases using subject headings and free-text keywords. Studies were selected based on a priori inclusion/exclusion criteria, and data extraction and descriptive analysis were performed. Results: A total of 27 original studies and 30 articles were included. Varying study designs were used, including several feasibility and acceptability studies. However, efficacious findings on abstinence and other clinically important outcomes were reported in several studies. Most studies focused on digital interventions for pregnant women (89.7%), suggesting a dearth of research on how digital technologies may support early parenting women with SUD. No studies included PEPW family members or involved PEPW women in the intervention design. Conclusions: The science of digital interventions to support treatment for PEPW is in an early stage, but feasibility and efficacy results are promising. Future research should explore community-based participatory partnerships with PEPW to develop or tailor digital interventions and include family or external support systems to engage in the intervention alongside PEPW.
Importance of Communication Skills Training and Meaning Centered Psychotherapy Concepts among Patients and Caregivers Coping with Advanced Cancer
Authors: Torres-Blasco Normarie , Rosario-Ramos Lianel , Navedo Maria Elena , Peña-Vargas Cristina , Costas-Muñiz Rosario , Castro-Figueroa Eida
Published: March 2023

Latinos are more likely to be diagnosed with advanced cancer and have specific existential and communication needs. Concepts within Meaning-Centered Psychotherapy (MCP) interventions and Communications Skills Training (CST) assist patients in attending to these needs. However, Latino-tailored MCP interventions have yet to be adapted for advanced cancer patients and caregivers. A cross-sectional survey was administered to Latino advanced cancer patients and caregivers where participants rated the importance of the goals and concepts of MCP and CST. Fifty-seven (n = 57) Latino advanced cancer patients and fifty-seven (n = 57) caregivers completed the survey. Most participants rated MCP concepts as extremely important, ranging from 73.75% to 95.5%. Additionally, 86.8% favored finding meaning in their life after a cancer diagnosis. Participants (80.7%) also selected the concept of finding and maintaining hope to cope with their cancer diagnosis. Finally, participants found CST concepts and skills acceptable, ranging from 81.6% to 91.2%. Results indicate the acceptability of Meaning-Centered Therapy and Communication Skills Training among Latino advanced cancer patients and caregivers coping with advanced cancer. These results will inform the topics to be discussed in a culturally adapted psychosocial intervention for advanced cancer patients and their informal caregivers.
Political Ideology and Trust in Government to Ensure Vaccine Safety: Using a U.S. Survey to Explore the Role of Political Trust
Authors: Lim Jaeyoung , Moon Kuk-Kyoung
Published: March 2023

Since early 2020, the rapid expansion of COVID-19 has raised concerns about vaccine safety and the government’s handling of it. Particularly notable and concerning has been a growing number of people who oppose vaccines, as this opposition poses a threat to public health. Those for and against vaccination have become polarized along a political divide. Within this context, this study focuses on the role of political trust, exploring whether political ideology is associated with the perception that the government can ensure the safety of vaccines and whether there is a moderator that can alleviate the concerns of those who oppose the government’s handling of vaccine safety on ideological grounds. This study relies on the 2021 U.S. General Social Survey (GSS) and employs an ordered probit method because the dependent variable is an ordered category. The ordered probit model includes a weight provided by the U.S. GSS to account for the population. The sample size was 473 because of the inclusion of all the variables relevant to this study. The results obtained are as follows: First, conservatives associate negatively with support for the government’s handling of vaccine safety. Second, more importantly, conservatives exhibit a higher trust level toward the government to ensure vaccine safety if their level of political trust increases. The results point to important implications. Political ideology matters in how individuals view the government’s handling of vaccine safety. Political trust plays a key role in helping individuals alter their views toward the government’s handling of vaccine safety. This points to a need for the government to take political trust seriously and work hard to improve the public’s trust in the government.
Improved Method of Background Value Determination for Sb and Cd in Freshwater Sediment—Insights from Controlling Factors on Spatial Variability
Authors: Mao Lingchen , Wang Ruijie , Kang Kai , Li Feipeng , Zhang Zheng , Che Qingyang , Tang Qinyi
Published: March 2023

Variability in the distribution of natural total Sb and Cd in freshwater sediments leads to difficulties in background value (BV) determination. This study aimed to establish a method to determine BV more accurately by investigating the vertical distribution of Sb and Cd in sediment cores collected from a typical river in alluvial plain in China and revealed the factors that control the variation of Sb and Cd BV, which has not been studied in alluvial freshwater sediment. The results suggested that uncontaminated samples for BV calculation should be determined by statistical analysis as human and natural disturbance led to high variation in contamination depth, from <5 cm to >55 cm. The sequential chemical extraction method showed a considerable amount of non-residual fractions of Sb and Cd, which accounted for 48% and 43% of the total, respectively. Acid extractable Cd (16%) was associated to the limestone geology in the area. Fine particles which governed by sedimentary environment contained more natural Sb and Cd, as strong positive correlation was found between clay content and Sb concentration (r = 0.89, p < 0.01), as well as Cd concentration (r = 0.54, p < 0.01). Based on these findings, a method combined with standard deviation and geochemical method was established to calculate the BV of Sb and Cd, and counter maps were made to cover the variation of BV in the Taipu river sediment. The pollution level has been evaluated by the geoaccumulation index more accurately.
MicroRNAs and MAPKs: Evidence of These Molecular Interactions in Alzheimer’s Disease
Authors: Raffaele Ivana , Silvestro Serena , Mazzon Emanuela
Published: March 2023

Alzheimer’s disease (AD) is a neurodegenerative disorder known to be the leading cause of dementia worldwide. Many microRNAs (miRNAs) were found deregulated in the brain or blood of AD patients, suggesting a possible key role in different stages of neurodegeneration. In particular, mitogen-activated protein kinases (MAPK) signaling can be impaired by miRNA dysregulation during AD. Indeed, the aberrant MAPK pathway may facilitate the development of amyloid-beta (Aβ) and Tau pathology, oxidative stress, neuroinflammation, and brain cell death. The aim of this review was to describe the molecular interactions between miRNAs and MAPKs during AD pathogenesis by selecting evidence from experimental AD models. Publications ranging from 2010 to 2023 were considered, based on PubMed and Web of Science databases. According to obtained data, several miRNA deregulations may regulate MAPK signaling in different stages of AD and conversely. Moreover, overexpressing or silencing miRNAs involved in MAPK regulation was seen to improve cognitive deficits in AD animal models. In particular, miR-132 is of particular interest due to its neuroprotective functions by inhibiting Aβ and Tau depositions, as well as oxidative stress, through ERK/MAPK1 signaling modulation. However, further investigations are required to confirm and implement these promising results.