bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative Analysis of Overheating Risk for Typical Dwellings and Passivhaus in the UK
Authors: Jang Jihoon , Natarajan Sukumar , Lee Joosang , Leigh Seung-Bok
Published: May 2022

There is growing concern that airtight and well-insulated buildings designed to limit heat loss in temperate and cold climates could unintentionally elevate the risk of overheating in summers. Existing literature primarily uses dynamic simulation to investigate this problem due to the difficulty of obtaining large-scale in-performance data. To address this gap, we undertake a meta-analysis of large-scale indoor air temperature data for 195 UK dwellings, as a study of performance in a temperate climate. Of these, 113 are baseline (i.e., typical existing dwellings) and the rest designed to the high-performance Passivhaus standard. Using both Passivhaus and the well-known CIBSE TM59 overheating standards, this study found that there were few overheated cases for any building type. However, the average summer nighttime temperature of Passivhaus bedrooms was 1.6 °C higher than baseline, with 20 out of 31 measured bedrooms exceeding the overheating criterion, and the average overheating hours constituting approximately 19% of the total summertime observation period. These findings suggest that bedrooms in highly insulated dwellings may pose an overheating risk although whole-dwelling overheating risk is low.
Iron Recovery Technology of Red Mud—A review
Authors: Kong Hao , Zhou Tuo , Yang Xinhua , Gong Yingli , Zhang Man , Yang Hairui
Published: May 2022

RM (red mud), which comes from the Bayer process, has a huge annual output and is harmful to the environment. Because of the high iron content in RM, the process of iron recovery from RM can reduce the amount of RM well and create economic benefits, so it is a promising process. The paper focuses on the review on the research of the iron recovery method from RM, which includes the physical recovery method, chemical recovery method and emerging recovery method. By comparing the advantages and disadvantages of these processes, it is concluded that the fluidized bed reduction is a promising process that can be rapidly applied to the industry, but it still needs more investigation to overcome the current technical difficulties in the near future.
Integrated Solar Thermal Systems
Authors: Calise Francesco , Dentice d’Accadia Massimo , Vicidomini Maria
Published: May 2022

The renewable energy technologies attracted 70% global energy investment in 2021, but the global CO2 emission is increased by 1 [...]
Sensitivity Analysis of High-Pressure Methanol—Steam Reformer Using the Condensation Enthalpy of Water Vapor
Authors: Yu Dongjin , Kim Byoungjae , Ji Hyunjin , Yu Sangseok
Published: May 2022

A methanol–steam reformer (MSR) can safely provide hydrogen-rich fuel for a fuel cell system. Since the operating temperature of an MSR is relatively low, convective heat transfer is typically used to provide thermal energy to the endothermic reactions in the MSR. In this study, the use of phase change heat transfer to provide thermal energy to the endothermic reactions was investigated, which enhanced the temperature uniformity longitudinally along the MSR. ANSYS Fluent® software was used to investigate the performance of the reforming reactions. A comparative analysis using sensible heat and latent heat as the heat supply sources was performed. Using latent heat as a heat source achieved a lesser temperature drop than sensible heat that was under 5.29 K in the outer pipe. Moreover, a sensitivity analysis of methanol–steam-reforming reactions that use phase change heat transfer in terms of the carbon ratio, gas hourly velocity (for the inner and outer pipes of the MSR), inlet temperature (inner and outer pipes), reactor length, and operating pressure (inner pipe) was performed. When the phase change energy of water vapor is used, the wall temperature of the MSR is conveniently controlled and is uniformly distributed along the channel (standard deviation: 0.81 K). Accordingly, the methanol conversion rate of an MSR that uses phase change energy is ~4% higher than that of an MSR that employs convective heat transfer.
Design of an MPPT Technique for the Indirect Measurement of the Open-Circuit Voltage Applied to Thermoelectric Generators
Authors: Marroquín-Arreola Ricardo , Lezama Jinmi , Hernández-De León Héctor Ricardo , Martínez-Romo Julio César , Hoyo-Montaño José Antonio , Camas-Anzueto Jorge Luis , Escobar-Gómez Elías Neftalí , Conde-Díaz Jorge Evaristo , Ponce-Silva Mario , Santos-Ruiz Ildeberto
Published: May 2022

This paper presents the design of a maximum power point-tracking (MPPT) technique for DC–DC converters that are used in energy-harvesting systems based on thermoelectric generators. This technique is based on the analysis of the characteristics of the converter to measure the open-circuit voltage indirectly. The main contribution of this article is that the algorithm measures the voltage at the maximum power point without the need to disconnect the source of the circuit, as happens when the fractional open-circuit voltage (FOCV) technique is used. The algorithm is based on a predetermined initial duty cycle, which is applied to the circuit, and the input voltage and input current are read. With these values, the open-circuit voltage and short-circuit current are calculated with equations obtained from the circuit. Then, it calculates the duty cycle at the maximum power point and applies it to the circuit. If this duty cycle does not obtain the maximum power from the circuit, the algorithm starts a second stage based on fuzzy logic to calculate an increase or decrease in the duty cycle. The designed technique was evaluated using a topology based on a DC–DC flyback converter variant and was compared with the P&O technique and obtained better results. The designed technique provides between 3.9% and 5.6% more power to the load than the P&O technique in a 20 W system.
Internet of Things Approaches for Monitoring and Control of Smart Greenhouses in Industry 4.0
Authors: Bersani Chiara , Ruggiero Carmelina , Sacile Roberto , Soussi Abdellatif , Zero Enrico
Published: May 2022

In recent decades, climate change and a shortage of resources have brought about the need for technology in agriculture. Farmers have been forced to use information and innovation in communication in order to enhance production efficiency and crop resilience. Systems engineering and information infrastructure based on the Internet of Things (IoT) are the main novel approaches that have generated growing interest. In agriculture, IoT solutions according to the challenges for Industry 4.0 can be applied to greenhouses. Greenhouses are protected environments in which best plant growth can be achieved. IoT for smart greenhouses relates to sensors, devices, and information and communication infrastructure for real-time monitoring and data collection and processing, in order to efficiently control indoor parameters such as exposure to light, ventilation, humidity, temperature, and carbon dioxide level. This paper presents the current state of the art in the IoT-based applications to smart greenhouses, underlining benefits and opportunities of this technology in the agriculture environment.
Maximum Efficiency Conditions Satisfying Power Regulation Constraints in Multiple-Receivers Wireless Power Transfer
Authors: Lee Won , Lee Woochan , Ahn Dukju
Published: May 2022

We propose the conditions for maximum overall efficiency at the constraint of satisfying asymmetric load power requirements for each receiver, for multiple-receivers wireless power transfer. Previously, the limitation of multiple-receiver analysis was that only the efficiency was maximized, whereas the requirements of load power were neglected. In many cases, conventional efficiency maximization assigns insufficient power to receivers far from the transmitter, while supplying excessive power to receivers near the transmitter. To resolve this limitation, we maximize the efficiency at the constraints of specified load power for each receiver. The proposed closed-form equation provides an optimum TX coil current amplitude, and the optimum load resistances of each receiver, to achieve the maximum efficiency at the load power regulation.
Performance Study of Methane Dry Reforming on Ni/ZrO2 Catalyst
Authors: Fakeeha Anis , Kurdi Abdulrahman , Al-Baqmaa Yousef , Ibrahim Ahmed , Abasaeed Ahmed , Al-Fatesh Ahmed
Published: May 2022

Dry reforming of methane (DRM) has important and positive environmental and industrial impacts, as it consumes two of the top greenhouse gases in order to produce syngas (H2 and CO) and thus hydrogen (H2). The performance of DRM of conversions of CH4 and CO2 was investigated over Ni/ZrO2 catalysts. The catalytic performance of all prepared catalysts for DRM was assessed in a micro-tubular fixed bed reactor under similar reaction conditions (i.e., activation and reaction temperatures at 700 °C, a feed flow rate of 70 mL/min, reaction temperature, and a 440 min reaction time). Various characterization techniques, such as BET, CO2-TPD, TGA, XRD, EDX, and TEM, were employed. The zirconia support was modified with MgO or Y2O3. The yttria-stabilized zirconia catalyst (5Ni15YZr) provided the optimum activity performance of CH4 and CO2 conversions of 56.1 and 64.3%, respectively, at 700 °C and a 70 mL/min flow rate; this catalyst also had the highest basicity. The Ni-based catalyst was promoted with Cs, Ga, and Sr. The Sr-promoted catalyst produced the highest enhancement of activity. The influence of the reaction temperature and the feed flow rate on 5Ni15YZr and 5NiSr15YZr indicated that the activity increased with the increase in the reaction temperature and lower feed flow rate. For 5Ni3Sr15YZr, at a reaction temperature of 800 °C, the CH4 and CO2 conversions were 76.3 and 79.9%, respectively, whereas at 700 °C, the conversions of CH4 and CO2 were 66.6 and 79.6% respectively.
Reduction of Starting Current in Large Induction Motors
Authors: Habyarimana Mathew , Dorrell David George , Musumpuka Remmy
Published: May 2022

Large induction motors can have a high inrush and run-up current during starting, often up to ten times the rated current. In weak supplies, this could be a problem, causing system stability issues and the voltage to dip below acceptable levels. In islanded systems, the capacity could be pulled below its maximum. There are several different starting methods possible, but they are often only suitable for smaller machines. One method not investigated is the use of parallel capacitor compensation during the starting because large induction motors are very inductive during the starting sequence, so that supplying reactive power may be more effective than supplying energy. This paper first investigates several different induction motors with increasing size and assesses their compensation requirements in terms of the reactive power requirement during starting. It is shown that they do generally become more inductive as they increase in size. It is illustrated, using simulations, that using parallel capacitors during starting can significantly reduce the starting current. The concept is tested using a small experimental motor. Series inductors are added to the motor to make it more inductive and look more like a larger machine. The experimental results confirm that the method works. It is also found that the parallel capacitors require series filters to prevent harmonic current, and these can be realized using inductors in series with the compensation capacitors. Point-on switching using solid-state relays was tested, and these can reduce the transient switch-on current over the first voltage cycle.
Cooling Performance Enhancement of a 20 RT (70 kW) Two-Evaporator Heat Pump with a Vapor–Liquid Separator
Authors: Yang Won-Suk , Kim Young Il
Published: May 2022

20 RT (70 kW) two-evaporator heat pump system was developed, manufactured, and tested to enhance the cooling performance using a vapor–liquid separator. In the proposed system, two evaporators are connected in series, and the refrigerant passing through the primary evaporator is separated into vapor and liquid using a vapor–liquid separator. The vapor refrigerant is passed to the compressor, whereas the liquid phase flows into the second evaporator. The amount of vapor refrigerant sent to the compressor can be adjusted through a needle valve opening (0%, 50%, and 100%). The influence of this parameter on the cooling performance was analyzed. The cooling performance tests were repeated five times to check repeatability. Data associated with the air and refrigerant sides were obtained, and the average coefficients of performance (COPs) were calculated. The average COP associated with the air side was approximately 5% lower than that pertaining to the refrigerant side owing to the heat loss. In terms of the air-side cooling performance, the average COP was 3.14, 3.40, and 3.68 when the valve openings were 0%, 50%, and 100%, respectively. The cooling performance when the valve opening was 100% was 17.2% higher than that for the valve opening of 0%. The findings demonstrated that the cooling performance of a heat pump can be enhanced using two evaporators and a vapor–liquid separator.
Lightweight Blockchain-Based Scheme to Secure Wireless M2M Area Networks
Authors: Bilami Karam Eddine , LORENZ Pascal
Published: May 2022

Security is a challenging issue for M2M/IoT applications due to the deployment, decentralization and heterogeneity of M2M and IoT devices. Typical security solutions may not be suitable for M2M/IoT systems regarding the difficulties encountered for their implementation on resource-constrained devices. In this paper, we discuss the architectures deployed for M2M communications and the security challenges, as well as the vulnerabilities and solutions to counter possible attacks. We present a lightweight design based on a private blockchain to secure wireless M2M communications at the device domain level. Blockchain integration provides secure storage of data while preserving integrity traceability and availability. Besides, the evaluation and experimentations under NS3 simulator of the proposed scheme show that the authentication mechanism is lightweight, and presents better performances comparatively to other protocols in terms of key parameters as communication and computational overheads, average delay and energy consumption.
Low-Complexity GSM Detection Based on Maximum Ratio Combining
Authors: Zhang Xinhe , Lv Wenbo , Tan Haoran
Published: May 2022

Generalized spatial modulation (GSM) technology is an extension of spatial modulation (SM) technology, and one of its main advantages is to further improve band efficiency. However, the multiple active antennas for transmission also brings the demodulation difficulties at the receiver. To solve the problem of high computational complexity of the optimal maximum likelihood (ML) detection, two sub-optimal detection algorithms are proposed through reducing the number of transmit antenna combinations (TACs) detected at the receiver. One is the maximum ratio combining detection algorithm based on repetitive sorting strategy, termed as (MRC-RS), which uses MRC repetitive sorting strategy to select the most likely TACs in detection. The other is the maximum ratio combining detection algorithm, which is based on the iterative idea of the orthogonal matching pursuit, termed the MRC-MP algorithm. The MRC-MP algorithm reduces the number of TACs through finite iterations to reduce the computational complexity. For M-QAM constellation, a hard-limited maximum likelihood (HLML) detection algorithm is introduced to calculate the modulation symbol. For the M-PSK constellation, a low-complexity maximum likelihood (LCML) algorithm is introduced to calculate the modulation symbol. The computational complexity of these two algorithms for calculating the modulation symbol are independent of modulation order. The simulation results show that for GSM systems with a large number of TACs, the proposed two algorithms not only achieve almost the same bit error rate (BER) performance as the ML algorithm, but also can greatly reduce the computational complexity.
Recent Advances for the Developing of Instant Flavor Peanut Powder: Generation and Challenges
Authors: Liu Yue , Hu Hui , Liu Hongzhi , Wang Qiang
Published: May 2022

Instant flavor peanut powder is a nutritional additive that can be added to foods to impart nutritional value and functional properties. Sensory acceptability is the premise of its development. Flavor is the most critical factor in sensory evaluation. The heat treatment involved in peanut processing is the main way to produce flavor substances and involves chemical reactions: Maillard reaction, caramelization reaction, and lipid oxidation reaction. Peanut is rich in protein, fat, amino acids, fatty acids, and unsaturated fatty acids, which participate in these reactions as volatile precursors. N-heterocyclic compounds, such as the pyrazine, are considered to be the key odorants of the “baking aroma”. However, heat treatment also affects the functional properties of peanut protein (especially solubility) and changes the nutritional value of the final product. In contrast, functional properties affect the behavior of proteins during processing and storage. Peanut protein modification is the current research hotspot in the field of deep processing of plant protein, which is an effective method to solve the protein denaturation caused by heat treatment. The review briefly describes the characterization and mechanism of peanut flavor during heat treatment combined with solubilization modification technology, proposing the possibility of using peanut meal as material to produce IFPP.
Gut Microbiota as a Potential Predictive Biomarker in Relapsing-Remitting Multiple Sclerosis
Authors: Navarro-López Vicente , Méndez-Miralles María Ángeles , Vela-Yebra Rosa , Fríes-Ramos Ana , Sánchez-Pellicer Pedro , Ruzafa-Costas Beatriz , Núñez-Delegido Eva , Gómez-Gómez Humberto , Chumillas-Lidón Sara , Picó-Monllor Jose A. , Navarro-Moratalla Laura
Published: May 2022

Background: The influence of the microbiome on neurological diseases has been studied for years. Recent findings have shown a different composition of gut microbiota detected in patients with multiple sclerosis (MS). The role of this dysbiosis is still unknown. Objective: We analyzed the gut microbiota of 15 patients with active relapsing-remitting multiple sclerosis (RRMS), comparing with diet-matched healthy controls. Method: To determine the composition of the gut microbiota, we performed high-throughput sequencing of the 16S ribosomal RNA gene. The specific amplified sequences were in the V3 and V4 regions of the 16S ribosomal RNA gene. Results: The gut microbiota of RRMS patients differed from healthy controls in the levels of the Lachnospiraceae, Ezakiella, Ruminococcaceae, Hungatella, Roseburia, Clostridium, Shuttleworthia, Poephyromonas, and Bilophila genera. All these genera were included in a logistic regression analysis to determine the sensitivity and the specificity of the test. Finally, the ROC (receiver operating characteristic) and AUC with a 95% CI were calculated and best-matched for Ezakiella (AUC of 75.0 and CI from 60.6 to 89.4) and Bilophila (AUC of 70.2 and CI from 50.1 to 90.4). Conclusions: There is a dysbiosis in the gut microbiota of RRMS patients. An analysis of the components of the microbiota suggests the role of some genera as a predictive factor of RRMS prognosis and diagnosis.
Pseudo-Probabilistic Design for High-Resolution Tsunami Simulations in the Southwestern Spanish Coast
Authors: González Alejandro , Fernández Marta , Llorente Miguel , Macías Jorge , Sánchez-Linares Carlos , García-Mayordomo Julián , Paredes Carlos
Published: May 2022

The application of simulation software has proven to be a crucial tool for tsunami hazard assessment studies. Understanding the potentially devastating effects of tsunamis leads to the development of safety and resilience measures, such as the design of evacuation plans or the planning of the economic investment necessary to quickly mitigate their consequences. This article introduces a pseudo-probabilistic seismic-triggered tsunami simulation approach to investigate the potential impact of tsunamis in the southwestern coast of Spain, in the provinces of Huelva and Cádiz. Selected faults, probabilistic distributions and sampling methods are presented as well as some results for the nearly 900 Atlantic-origin tsunamis computed along the 250 km-long coast.
Differences and Similarities in Breast and Colorectal Cancer Screening Uptake among Municipalities in Flanders, Belgium
Authors: Ferrari Allegra , Tran Thuy Ngan , Hoeck Sarah , Peeters Marc , Goossens Mathieu , Van Hal Guido
Published: May 2022

Despite the recognized benefits of fecal occult blood test (FOBT) and mammography screenings, participation in breast (BC) and colorectal cancer (CRC) screening programs is still suboptimal. This study investigates municipal characteristics associated with their BC/CRC screening uptake profiles among women aged 55–69 years. Using data from 308 municipalities of Flanders from 2014 to 2017, a profile for each municipality based on its BC/CRC screening uptake compared with the median screening uptake was created. Logistic regression with generalized estimating equations was used to assess the associations between municipal characteristics and BC/CRC screening uptake profiles. The overall median uptake of cancer screening was higher for CRC (57.4%) than for BC (54.6%). The following municipal characteristics were associated with worse performance in terms of only CRC, only BC, or both CRC and BC screening uptake, respectively: foreign nationality, self-employment rate, (early) retirement rate, diabetes, disabilities; (early) retirement rate; age group 65–69, foreign nationality, self-employment rate, (early) retirement rate, wage-earners, diabetes. The following municipal characteristics were associated with better performance in terms of only CRC, only BC, or both CRC and BC screening uptake respectively: residential stability, having a partner, having children, jobseeker rate, GP visits, preventive dental visits; having children, GP visits; age group 55–59, residential stability, having a partner, having children, jobseeker rate, higher education, GP visits, preventive dental visits. This study’s results regarding the interrelation between the BC and CRC screening could be used to tailor interventions to improve the participation of the target population in both programs.
Implantation of a Leadless Pacemaker after Incomplete Transvenous Lead Extraction in a 90-Year-Old Pacemaker-Dependent Patient
Authors: Drożdż Gerald , Hrymniak Bruno , Biel Bartosz , Skoczyński Przemysław , Drożdż Wiktoria , Zyśko Dorota , Banasiak Waldemar , Jagielski Dariusz
Published: May 2022

Transluminal lead extraction (TLE) is a well-established procedure for the removal of damaged or infected pacing systems. Despite its high efficacy, the procedure is associated with significant risks, some of which may contribute to severe life-threatening complications. Herein, we present the case of a 90-year-old female who was 100% pacemaker-dependent (PM-dependent) and had ventricular lead fragmentation after the TLE procedure. In this elderly patient, after taking into account the whole clinical context—age, frailty syndrome, infection, and high peri- and postprocedural risks—we decided on MICRA VR implantation as well as leaving the remains of the ventricular lead in the right heart chambers. A Leadless pacemaker (LP) is an excellent alternative to PM-dependent individuals, in whom implantation of permanent transvenous PM is precluded due to multiple infectious and non-infectious issues.
Senior Women’s Dance: From Pleasure to Emancipation
Authors: Pezdek Krzysztof , Doliński Wojciech , Zygmont Agnieszka
Published: May 2022

The aim of this paper is to capture older adult women’s experience of dance. To this purpose, a qualitative research study was carried out with members of the ‘Gracje’ dance group. The study used Jürgen Habermas’s theory of communicative action as its theoretical underpinnings. The focus was on the models of action and validity claims expressed in language (narrative). In this theoretical framework, dancing activity has been shown as promoting not only physical health and mental wellbeing but also social involvement. Our study has found that, in and through dance, the older adults primarily realised their claims to pleasure, attractiveness, health and emancipation. This has considerably improved their bodily capacity and increased their self-esteem. However, what the older adults themselves find most important is that the realisation of these claims beneficially affects their interactions in family and neighbourly communities and facilitates their engagement in volunteer activities, helping people at risk of exclusion due to age and/or disability.
A Deep Learning Method Approach for Sleep Stage Classification with EEG Spectrogram
Authors: Li Chengfan , Qi Yueyu , Ding Xuehai , Zhao Junjuan , Sang Tian , Lee Matthew
Published: May 2022

The classification of sleep stages is an important process. However, this process is time-consuming, subjective, and error-prone. Many automated classification methods use electroencephalogram (EEG) signals for classification. These methods do not classify well enough and perform poorly in the N1 due to unbalanced data. In this paper, we propose a sleep stage classification method using EEG spectrogram. We have designed a deep learning model called EEGSNet based on multi-layer convolutional neural networks (CNNs) to extract time and frequency features from the EEG spectrogram, and two-layer bi-directional long short-term memory networks (Bi-LSTMs) to learn the transition rules between features from adjacent epochs and to perform the classification of sleep stages. In addition, to improve the generalization ability of the model, we have used Gaussian error linear units (GELUs) as the activation function of CNN. The proposed method was evaluated by four public databases, the Sleep-EDFX-8, Sleep-EDFX-20, Sleep-EDFX-78, and SHHS. The accuracy of the method is 94.17%, 86.82%, 83.02% and 85.12%, respectively, for the four datasets, the MF1 is 87.78%, 81.57%, 77.26% and 78.54%, respectively, and the Kappa is 0.91, 0.82, 0.77 and 0.79, respectively. In addition, our proposed method achieved better classification results on N1, with an F1-score of 70.16%, 52.41%, 50.03% and 47.26% for the four datasets.
Resistance Training before, during, and after COVID-19 Infection: What Have We Learned So Far?
Authors: Gentil Paulo , de Lira Claudio Andre Barbosa , Vieira Carlos Alexandre , Ramirez-Campillo Rodrigo , Haghighi Amir Hossein , Clemente Filipe Manuel , Souza Daniel
Published: May 2022

At the end of 2019, a severe acute respiratory syndrome caused by SARS-CoV-2 started a pandemic, leading to millions of deaths and many important political and social changes. Even in the absence of contamination, the mobility reduction, social distancing and closing of exercise facilities negatively affected physical activity and conditioning, which is associated with muscle atrophy, loss of muscle strength, and reductions in functional capacity. In cases of infection, it has been shown that increased physical capacity is associated with decreased hospitalization and mortality risk. Although millions of people have died from COVID-19, most contaminated individuals survived the infection, but carried different sequelae, such as the severe loss of physical function and a reduced quality of life. Among different physical exercise models that might help to prevent and treat COVID-19-related conditions, resistance training (RT) might be particularly relevant. Among its benefits, RT can be adapted to be performed in many different situations, even with limited space and equipment, and is easily adapted to an individual’s characteristics and health status. The current narrative review aims to provide insights into how RT can be used in different scenarios to counteract the negative effects of COVID-19. By doing this, the authors expect to provide insights to help deal with the current pandemic and similar events the world may face in the future.
Improving Health Literacy: Analysis of the Relationship between Residents’ Usage of Information Channels and Health Literacy in Shanghai, China
Authors: Gao Ya , Chen Chen , Hui Hong , Chen Mingyue , Chen Ning , Chen Hong , Zeng Weiming , Wei Yan , Wang Zhaoxin , Shi Jianwei
Published: May 2022

Background: This study aimed to examine the relationship between residents’ health literacy (HL) and their use of and trust in information channels. Methods: A community-based cross-sectional health survey utilizing a cluster sampling design was conducted in January 2022. The sample consisted of 1067 residents in Shanghai, China. Those who correctly answered over 80% of the questions were regarded as qualified. The differences in residents’ HL and the dimensions of knowledge HL, lifestyle HL, and skills HL were analyzed based on their use of and trust in traditional media, the internet, and offline activities. Logistic regression was conducted to examine the effects of the usage of these channels on all four types of HL. Results: A total of 27.65% of participants were qualified for HL. The use of traditional media (OR = 1.405, p < 0.05) and engagement in offline activities (OR = 1.951, p < 0.05) were significantly related to HL. Disbelief in traditional media was related to being qualified in knowledge HL (OR = 1.262; p < 0.05), whereas disbelief in offline activities had an adverse effect on knowledge HL and skills HL (OR = 0.700, 0.807; p < 0.05). Conclusion: Effort should be made to improve the efficiency of offline health education, and ensure the reliability and quality of health-related information from mass media and the internet to improve residents’ HL.
The Perceptions of Domestic Violence by a Family Member Who Uses Crack or Cocaine: A Secondary Retrospective Cross-Sectional Study
Authors: de Barros Gilmar Manoel , Diehl Alessandra , de Moura Adaene Alves Machado , Miasso Adriana Inocenti , Laranjeira Ronaldo , da Silva Cláudio Jerônimo , Pillon Sandra Cristina , Wagstaff Christopher , de Moraes Horta Ana Lucia
Published: May 2022

Objective: To evaluate the relationship between crack/cocaine use and domestic violence perpetration from the perspective of substance users’ families. A secondary retrospective cross-sectional study, with 3162 family members of crack/cocaine users seeking treatment in the Recomeço Família Programme in São Paulo/Brazil was undertaken. Family members of crack/cocaine users reported that their relatives were more involved in domestic violence such as stealing (money and objects) at home [Odds Ratio Adjusted ORA = 2.17 (CI 95% 1.87; 2.53)], the family gave money to the user to buy drugs [ORA = 1.27 (1.08; 1.48)], and having problems with the judiciary [ORA = 1.48 (CI 95% 1.28; 1.71)]. Relatives of snorted cocaine users reported that there was physical and interpersonal violence, such as fathers being assaulted [ORA = 2.50 (CI 95% 1.08; 5.82)], assaulted someone else [ORA = 1.86 (CI 95% 1.32; 2.60)], threats of violence fights, arguments when the family talk about problematic drug use [ORA = 1.50 (CI 95% 1.13; 1.96)] and threatened some family members [ORA = 1.52 (CI 95% 1.14; 2.04)]. In this sample, there was a connection between crack/cocaine use and the perpetuation of domestic violence, corroborating with important implications for public policies, substance use treatment and prevention of domestic violence interventions.
Self-Serving Dishonesty Partially Substitutes Fairness in Motivating Cooperation When People Are Treated Fairly
Authors: Li Dandan , Turel Ofir , Zhang Shuyue , He Qinghua
Published: May 2022

Fairness is a key expectation in social interactions. Its violation leads to adverse reactions, including non-cooperation and dishonesty. The present study aimed to examine how (1) fair (unfair) treatment may drive cooperation (defection) and honesty (self-serving dishonesty), (2) dishonesty primes further moral disengagement and reduced cooperation, and (3) dishonesty weakens (substitutes) the effect of fairness on cooperation. The prisoner’s dilemma (Experiment 1 and 2) and die-rolling task (Experiment 2) were employed for capturing cooperation and dishonest behaviors, respectively. To manipulate perceived unfairness, participants were randomly assigned to play the prisoner’s dilemma game, where players either choose more cooperation (fair condition) or defection (unfair condition). Results of Experiment 1 (n = 102) suggested that participants perceive higher unfairness and behave less cooperatively when the other player primarily chooses defection. Results of Exp. 2 (n = 240) (a) confirmed Exp. 1 results, (b) showed that players in the unfair condition also show more self-serving dishonest behavior, and (c) that dishonest behavior weakens the effect of fairness on cooperation. Together, these results extended previous work by highlighting the self-serving lies when the opponent is fair trigger higher cooperation, presumably as a means to alleviate self-reflective moral emotions or restore justice.
Social Support and Family Functioning during Adolescence: A Two-Wave Cross-Lagged Study
Authors: Yu Xianglian , Kong Xiangtian , Cao Ziyu , Chen Zhijuan , Zhang Lin , Yu Binbin
Published: May 2022

The influence of social and family factors on adolescent mental health has been widely valued. Considering adolescents’ family systems in a broader social context facilitates a better understanding of their mental health, which also has special significance in the post-epidemic era. The purpose of the present study was to explore the relationship between social support and family functioning during adolescence. Students from two middle schools in Fujian province, China, were recruited as participants. Seven hundred and fifty-four participants completed the questionnaire twice in six-month intervals. We constructed a cross-lagged model by using IBM SPSS AMOS 26.0 to test the relationship between these two variables. Social support and family functioning predicted each other in the girls, but not for the boys’ sample. The results of this study suggested that the interaction between family and social factors and the possible gender differences should be considered when dealing with adolescents’ mental health problems.
Shorter Incubation Period among COVID-19 Cases with the BA.1 Omicron Variant
Authors: Tanaka Hideo , Ogata Tsuyoshi , Shibata Toshiyuki , Nagai Hitomi , Takahashi Yuki , Kinoshita Masaru , Matsubayashi Keisuke , Hattori Sanae , Taniguchi Chie
Published: May 2022

We aimed to elucidate the range of the incubation period in patients infected with the SARS-CoV-2 Omicron variant in comparison with the Alpha variant. Contact tracing data from three Japanese public health centers (total residents, 1.06 million) collected following the guidelines of the Infectious Diseases Control Law were reviewed for 1589 PCR-confirmed COVID-19 cases diagnosed in January 2022. We identified 77 eligible symptomatic patients for whom the date and setting of transmission were known, in the absence of any other probable routes of transmission. The observed incubation period was 3.03 ± 1.35 days (mean ± SDM). In the log-normal distribution, 5th, 50th and 95th percentile values were 1.3 days (95% CI: 1.0–1.6), 2.8 days (2.5–3.1) and 5.8 days (4.8–7.5), significantly shorter than among the 51 patients with the Alpha variant diagnosed in April and May in 2021 (4.94 days ± 2.19, 2.1 days (1.5–2.7), 4.5 days (4.0–5.1) and 9.6 days (7.4–13.0), p < 0.001). As this incubation period, mainly of sublineage BA.1, is even shorter than that in the Delta variant, it is thought to partially explain the variant replacement occurring in late 2021 to early 2022 in many countries.
Adult Exposures to Toxic Trace Elements as Measured in Nails along the Interoceanic Highway in the Peruvian Amazon
Authors: Pettigrew Stacy M. , Pan William K. , Harrington James , Berky Axel , Rojas Elvis , Feingold Beth J.
Published: May 2022

Deforestation, artisanal and small-scale gold mining (ASGM), and the rapid development related to highway expansion cause opportunities for toxic trace element exposure in the Amazon region of Madre de Dios (MDD), Peru, one of the most biologically diverse places in the world. The objective of this study was to assess the exposure to arsenic, cadmium, lead, and mercury among adults in Madre de Dios. In total, 418 adult (18+ years) participants in the Investigacion de Migracion, Ambiente, y Salud (IMAS) (Migration, Environment, and Health Study) participated in this study. Consent, survey data, and biospecimens were collected between August and November 2014. Nail elements were measured by inductively coupled plasma sector field mass spectrometry. Differences by selected individual and household characteristics and local land uses were tested using one-way ANOVAs and linear mixed models. Adults in ASGM-affected areas had higher nail arsenic and nail cadmium than their non-ASGM counterparts. Higher household fish consumption was positively associated with nail mercury and nail lead. The results indicate that adult exposure to arsenic, cadmium, lead, and mercury is heterogeneous across Madre de Dios, and the exposures related to ASGM communities and fish consumption suggest that exposures from artisanal and small-scale mining are environmentally widespread. Further investigation is warranted to ascertain potential health impacts.
Access to Services from Persons with Disabilities in Afghanistan: Is Community Based Rehabilitation Making a Difference?
Authors: Trani Jean-Francois , Pitzer Kyle A. , Vasquez Escallon Juanita , Bakhshi Parul
Published: May 2022

The United Nations Convention on the Rights of Persons with Disabilities (UNCRPD), ratified in 2006, states that the achievement of equal rights, empowerment, and social inclusion of people with disabilities requires comprehensive rehabilitation services involving educational, social, economic, and medical interventions, all dimensions of the World Health Organization Community based rehabilitation (CBR) matrix. CBR programs aim at achieving those goals. In the present study, we investigated whether a large scale CBR program is improving access to multiple services (namely physical therapy, assistive technology, education, employment, advocacy, and community awareness) and providing satisfactions (by measuring the reduction in unmet needs) of Afghans with disabilities. We enrolled in the study 1861 newly recruited CBR participants with disabilities from 169 villages between July 2012 and December 2013, and 1132 controls screened with disabilities randomly selected with a two-stage process within 6000 households from 100 villages in the same provinces as the CBR but outside its catchment area. Using propensity score matching (PSM) and difference in difference analysis, we estimated the differences in accessing services. There were statistically significant differences between participants and controls on the access of available services between the baseline and endline. Using PSM we also found that needs were more often met among CBR participants compared to the controls. Our study indicates that a CBR program may be an effective way to provide services for persons with disabilities even in a conflict context such as Afghanistan. It contributes to addressing the longstanding question whether CBR can actually improve the rehabilitation of persons with disabilities.
Needle-Stick and Sharp Injuries among Hospital Healthcare Workers in Saudi Arabia: A Cross-Sectional Survey
Authors: Abalkhail Adil , Kabir Russell , Elmosaad Yousif Mohammed , Alwashmi Ameen S. S. , Alhumaydhi Fahad A. , Alslamah Thamer , Almoammar Khalid A. , Alsalamah Yasir Ahmed , Mahmud Ilias
Published: May 2022

Needle-stick or sharp injuries (NSIs) are critical occupational hazards for healthcare workers. Exposure to blood and body fluids through NSIs increases the risk of transmission of blood-borne pathogens among them. The objectives of this study were to estimate the annual incidence of NSIs and investigate the associated factors of NSIs among the healthcare workers in Saudi Arabia. A cross-sectional online survey was conducted between October and November 2021. A total of 361 healthcare workers participated in the survey from all over Saudi Arabia. The one-year incidence of at least one event of NSIs among the healthcare workers is estimated at 22.2% (95% CI: 18.0, 26.8). More than half of the injury events (53.8%) were not reported to the authority by the healthcare workers. Incidence of NSIs was highest among the physicians (36%) and was followed by nurses (34.8%), dentists (29.2%), and medical technologists (21.1%). The odds of NSIs was higher among the healthcare workers aged 26–30 years compared to the 20–25 years age group (OR: 2.51; 95% CI: 1.04, 6.03), as well as among the workers who directly dealt with needles or other sharp objects while working compared to those who did not (OR: 5.9; 95% CI: 2.69, 12.97). The high incidence and low rate of reporting of NSIs highlights the need of education and awareness raising programs targeting healthcare providers with higher risk of injury.
First Report of an Asymptomatic Leishmania (Viannia) shawi Infection Using a Nasal Swab in Amazon, Brazil
Authors: Oliveira Luciana P. , Nascimento Luciana C. S. , Santos Fabiola S. , Takamatsu Jaqueline L. C. , Sanchez Luiz R. P. , Santos Walter S. , Garcez Lourdes M.
Published: May 2022

The state of Pará has recorded seven Leishmania species that cause tegumentary leishmaniasis (TL). Leishmania species induce distinct immunological responses from the host and exhibit resistance to Glucantime, the first-line drug treatment for TL in Brazil. Objective: Identify the etiology of TL in an Amazonian city in the state of Pará. Material and methods: Eleven patients with TL were recruited and nasal swabs, lesion swabs, and skin fragments samples were collected. In the control group (n = 6), only the nasal swabs were collected. Polymerase Chain Reaction (PCR) amplification of the gene region hsp70-234 was performed using the extracted DNA from the samples, from which nine patients with TL and five in the control group were positive. Products were sequenced, mounted in CAP3 software, aligned using MAFFT v.7.221, edited in Geneious software v.8.1.7, and compared and aligned with sequences available in GenBank using the BLAST tool. Results: For patients with TL, six molecular diagnosis at the species level (L. (Viannia) braziliensis (n = 5/9), L. (Viannia) shawi (n = 1/9)) and three at the genus level (Leishmania sp. (n = 3/9)) were obtained. In the control group, four individuals were infected with Leishmania sp. (n = 4/5) and L. (V.) shawi (n = 1/5). Conclusion: This is the first report of L. (V.) shawi infection in the mucosal secretion of a healthy person in Brazil. Moreover, genetic variants were identified in the haplotypes of L. (V.) braziliensis in the gene sequence hsp70-234.
Environmental Effects of the COVID-19 Pandemic: The Experience of Bogotá, 2020
Authors: Malagón-Rojas Jeadran , Mendez-Molano Daniela , Almentero Julia , Toloza-Pérez Yesith G. , Parra-Barrera Eliana L. , Gómez-Rendón Claudia P.
Published: May 2022

During the novel coronavirus disease (COVID-19) pandemic, several environmental factors have influenced activities and protection policy measures in cities. This has had a major effect on climate change and global environmental catastrophe. In many countries, the strategy of closing various activities such as tourism and industrial production stopped normal life, transportation, etc. This closure has a positive impact on the environment. However, the massive use of masks and personal protection could significantly increase pollution worldwide. The impact on the environment needs to be calculated to have information for public health actions. In this study, we present a first overview of the potential impacts of COVID-19 on some environmental matrices in Bogotá, Colombia.
Organizational Geosocial Network: A Graph Machine Learning Approach Integrating Geographic and Public Policy Information for Studying the Development of Social Organizations in China
Authors: Zhao Xinjie , Wang Shiyun , Wang Hao
Published: May 2022

This study aims to give an insight into the development trends and patterns of social organizations (SOs) in China from the perspective of network science integrating geography and public policy information embedded in the network structure. Firstly, we constructed a first-of-its-kind database which encompasses almost all social organizations established in China throughout the past decade. Secondly, we proposed four basic structures to represent the homogeneous and heterogeneous networks between social organizations and related social entities, such as government administrations and community members. Then, we pioneered the application of graph models to the field of organizations and embedded the Organizational Geosocial Network (OGN) into a low-dimensional representation of the social entities and relations while preserving their semantic meaning. Finally, we applied advanced graph deep learning methods, such as graph attention networks (GAT) and graph convolutional networks (GCN), to perform exploratory classification tasks by training models with county-level OGNs dataset and make predictions of which geographic region the county-level OGN belongs to. The experiment proves that different regions possess a variety of development patterns and economic structures where local social organizations are embedded, thus forming differential OGN structures, which can be sensed by graph machine learning algorithms and make relatively accurate predictions. To the best of our knowledge, this is the first application of graph deep learning to the construction and representation learning of geosocial network models of social organizations, which has certain reference significance for research in related fields.
Application of 3D-Printed, PLGA-Based Scaffolds in Bone Tissue Engineering
Authors: Sun Fengbo , Sun Xiaodan , Wang Hetong , Li Chunxu , Zhao Yu , Tian Jingjing , Lin Yuanhua
Published: May 2022

Polylactic acid–glycolic acid (PLGA) has been widely used in bone tissue engineering due to its favorable biocompatibility and adjustable biodegradation. 3D printing technology can prepare scaffolds with rich structure and function, and is one of the best methods to obtain scaffolds for bone tissue repair. This review systematically summarizes the research progress of 3D-printed, PLGA-based scaffolds. The properties of the modified components of scaffolds are introduced in detail. The influence of structure and printing method change in printing process is analyzed. The advantages and disadvantages of their applications are illustrated by several examples. Finally, we briefly discuss the limitations and future development direction of current 3D-printed, PLGA-based materials for bone tissue repair.