bluuebunny/crossref_metadata_2025 huggingface dataset:
Seed Priming Enhances Seed Germination and Morphological Traits of Lactuca sativa L. under Salt Stress
Authors: Adhikari Bikash , Olorunwa Omolayo J. , Barickman T. Casey
Published: April 2022

Seed germination is the stage in which plants are most sensitive to abiotic stress, including salt stress (SS). SS affects plant growth and performance through ion toxicity, decreasing seed germination percentage and increasing the germination time. Several priming treatments were used to enhance germination under SS. The objectives of this study were (1) to identify priming treatments to shorten the emergence period, (2) to evaluate priming treatments against the SS, and (3) to induce synchronized seed germination. Salt-sensitive ‘Burpee Bibb’ lettuce seeds were treated with 0.05% potassium nitrate, 3 mM gibberellic acid, and distilled water. All the primed and non-primed seeds were subjected to 100 mM sodium chloride (NaCl) or 0 mM NaCl (control). The seven-day experiment, arranged in a complete randomized block design with four replications, was conducted in a growth chamber maintained with 16/8 h photoperiod (light/dark), 60% relative humidity, and a day/night temperature of 22/18 °C. The result indicated that hydro-primed (HP) seeds were better synchronized under SS. Similarly, fresh mass (FM) and dry mass (DM) of cotyledon, hypocotyl, and radicle were the highest in HP lettuce regardless of SS. Electrolyte leakage was the lowest in the HP lettuce, while other priming methods under SS increased membrane permeability, leading to osmotic stress and tissue damage. Overall, hydro-priming can be a good priming method for synchronizing germination and increasing FM and DM by creating the least osmotic stress and ion toxicity in lettuce under SS.
The Livelihood of Chinese Migrants in Timor-Leste
Authors: Fernandes Ajito , Prabawa Titi Susilowati , Therik Wilson M. A.
Published: April 2022

This article aims to describe, in depth, the experiences of migrant workers from China in maintaining their livelihoods in Timor-Leste through entrepreneurial activities before and during the COVID-19 pandemic. Specifically, this study discusses sustainable livelihoods with the knowledge of migration, adaptation, and entrepreneurship in Timor-Leste. To fulfill these aims, a qualitative methodology with a phenomenological approach was adopted by interviewing eight Chinese migrants who run businesses in Timor-Leste. Furthermore, the framework for the concept of sustainable livelihoods of the Department for International Development (DFID) was adapted to explain, in depth, the phenomena. The finding reveals that economic reasons encourage and attract Chinese migrant workers and entrepreneurs to Timor-Leste. The adaptation process of migrants in Timor-Leste relies on social capital to synergize with local communities in terms of culture, further affecting the comfort and security of entrepreneurship. From the perspective of sustainable livelihoods, migrant workers take advantage of human capital in the process of accumulation of financial capital to enhance their business activities. Meanwhile, migrant entrepreneurship expands their financial capital and human capital into social capital, physical capital, and natural capital. The findings also explain that the mobility and access to financial capital of Chinese migrants are supported through institutional structures, entrepreneurship activities, and policies. Furthermore, to ensure livelihood sustainability and business, Chinese migrants in Timor-Leste can carry out business intensification, extensification, diversification, and transformation strategies.
Meeting Up Together: Economic Embeddedness of Social Capital in America
Authors: Horan Tyler
Published: April 2022

Where do people meet? And how does their region’s wealth effect where they meet? Investigating these patterns across the United States, we explore community organization and association venues based on data provided from Meetup.com. Examining how individuals associate for business, social, and cultural reasons, we discover that a region’s median income significantly affects the type of venue for the meeting. However, certain types of associations centered on a select group of topics mitigate that effect. We discover that in the United States, personal social capital that is built and maintained “in person” is deeply embedded in commercial activities. As a result, access to various types of community is often limited to economically advantaged geographies.
Impact of Farmer Field School on Crop Income, Agroecology, and Farmer’s Behavior in Farming: A Case Study on Cumilla District in Bangladesh
Authors: Bhuiyan Mohammad Mahfuzur Rahman , Maharjan Keshav Lall
Published: April 2022

The Farmer Field School is a season-long training for farmers involving participatory activities and interactive learning with the doctrine of integrated pest management and agroecosystem analysis. It has become a popular education and extension approach worldwide. This study tried to evaluate the FFS as a vehicle for sustainable agriculture which has economic viability, ecological soundness, and social acceptability. The study aimed to analyze the impact of the FFS on crop income, agroecology, and farmers’ behavior in farming. The empirical models, such as propensity score matching, Mahalanobis distance matching, and difference in differences, were applied for estimating the impact of FFS on crop income, more specifically, real income from brinjal. The environmental impact quotient was used to assess the agroecological impact of using pesticide, and a graded response model was used to investigate farmer behavioral changes in farming. The treatment effect based on the empirical models has shown a positive, significant effect on crop income. The findings also revealed that FFS farmers had a lower agroecological impact from pesticide use, and their behavior in farming practices was improved. Therefore, FFS was demonstrated to be a key strategy in strengthening agricultural extension services, which will contribute to promoting sustainable agriculture.
Supporting Sustainable Development Goal 5 Gender Equality and Entrepreneurship in the Tanzanite Mine-to-Market
Authors: Denoncourt Janice Ann
Published: April 2022

This article analyses how a strategy for Tanzania’s tanzanite gemstone mining sector could foster gender equality in the mine-to-market (M2M) supply chain, whilst enhancing opportunities for female entrepreneurship as part of the country’s sustainable economic development. In the mining industry, the contemporary concept of mapping artisanal and small-scale mining to the UN Sustainable Development Goals is a newer aspect of sustainability. SDG 5 aims to achieve gender equality and empower all women and girls. However, while there have been initiatives to support gemstone mining in Tanzania and East Africa, to date, the role of women in the lucrative tanzanite M2M supply chain has been less visible and a missed opportunity. This is a concern, as in 2019, pre-COVID-19 pandemic, gemstone and precious metals accounted for an incredible 33.2% of Tanzania’s total exports. In contrast, in leading mining countries such as Australia and Canada, the participation of women continues to steadily advance, economically empowering the women involved. This article contributes a critical review of Tanzanian mining regulation and licensing practice in a historical and gender equality context. A qualitative research case study showcases artisanal small-scale (ASM) tanzanite gemstone miner and entrepreneur Pili Hussein, with a view to support the formulation of a Tanzanian regional, female-oriented, M2M tanzanite strategy. The developed world experience of increasing levels of gender participation in mining provides evidence of a reduced gender pay gap and enhanced mine safety practice when women are involved. This research finds that increased investment in supporting women to participate in the tanzanite M2M gemstone supply chain positively impacts SDG 5 in the country. Furthermore, given Tanzania’s economic dependence on mining and the exceptional characteristics of rare, single-source tanzanite (a generational gemstones), we conclude that gender equality and female mine-to-market (M2M) entrepreneurship has an undervalued, yet important, role to play in Tanzania’s future socio-economic development.
The (Un)political Perspective on Climate Change in Education—A Systematic Review
Authors: Kranz Johanna , Schwichow Martin , Breitenmoser Petra , Niebert Kai
Published: April 2022

Mitigating and adapting to climate change requires foundational changes in societies, politics, and economies. Greater effectiveness has been attributed to actions in the public sphere than to the actions of individuals. However, little is known about how climate literacy programs address the political aspects of mitigation and adaptation. The aim of this systematic literature review is to fill this gap and analyze how public-sphere actions on mitigation and adaptation are discussed in climate literacy programs in schools. Based on database searches following PRISMA guidelines we identified 75 empirical studies that met our inclusion criteria. We found that central aspects of climate policy such as the 1.5-degree limit, the IPCC reports, or climate justice are rarely addressed. Whilst responsibility for emissions is attributed to the public sphere, the debate about mitigation usually focuses on the private sphere. Climate change education does not, therefore, correspond to the climate research discourse. We show that effective mitigation and adaptation are based on public-sphere actions and thus conclude that effective climate education should discuss those public actions if it is to be effective. Hence, we propose that climate education should incorporate political literacy to educate climate-literate citizens.
The Prosocial Driver of Ecological Behavior: The Need for an Integrated Approach to Prosocial and Environmental Education
Authors: Neaman Alexander , Pensini Pamela , Zabel Sarah , Otto Siegmar , Ermakov Dmitry S. , Dovletyarova Elvira A. , Burnham Elliot , Castro Mónica , Navarro-Villarroel Claudia
Published: April 2022

Although both altruistic and ecological behaviors can be considered prosocially driven behaviors, our psychological understanding of what motivates action in either the human or ecological domains is still in its infancy. We aimed to assess connection to nature and connection to humans as mediators of the relationship between prosocial propensity and prosocial behaviors in both the ecological and human domains. This study used empathy as an indicator of an individual’s prosocial propensity. The data for the study was collected through surveys in Russian (841 participants) and Spanish (418 participants). The study demonstrated that an individual’s prosocial propensity can be actioned into ecological (nature-related) behavior through connection to nature. Similarly, an individual’s prosocial propensity can be actioned into altruistic (human-related) behavior through connection to humans. However, the present study also demonstrates that an individual’s prosocial propensity can be directed to humans through a connection to nature. Thus, altruistic and ecological behaviors are two related classes of behavior, driven by the same prosocial propensity of the individual. This study is an important step towards generating scientific support for the claim that traditionally separate teaching of prosocial and environmental subjects should be combined into a single educational approach. An integrated approach will contribute to a multidisciplinary and interdisciplinary effort to create a society that is both ecologically and socially sustainable.
Data Mining Techniques: New Method to Identify the Effects of Aquaculture Binder with Sardine on Diets of Juvenile Litopenaeus vannamei
Authors: Guevara-Viejó Fabricio , Valenzuela-Cobos Juan Diego , Grijalva-Endara Ana , Vicente-Galindo Purificación , Galindo-Villardón Purificación
Published: April 2022

In this research, a dataset of growth performances and nutritional composition of juvenile Litopenaeus vannamei after being fed two diets that include aquaculture binder with sardine for 7 weeks was analyzed using data mining techniques: the K-Means Clustering Algorithm and PCA Biplot, to have a visualization of each parameter (vector) measured. The parameters evaluated were: weight gain, specific growth rate, feed efficiency, protein efficiency ratio, survival percent, moisture content, crude protein, crude lipid, and ash content. Data mining tools showed the juvenile Litopenaeus vannamei fed with mixture 2 (pellets mixed with the binder of sardine subproducts) presented the highest growth performances and nutritional composition, 23 juvenile L. vannamei shrimps showed higher relation with crude protein and crude lipid, 30 L. vannamei shrimps presented higher relation with ash, and 37 juvenile L. vannamei shrimps showed higher relation with ash and moisture. The results obtained in experimental procedures indicate that the use of a binder of sardine subproducts in shrimp diets improves the commercial parameters, improving the aquaculture field.
Control Strategy for Line Overload and Short Circuit Current of Networked Distribution Systems
Authors: Lee Junwoo , Chae Wookyu , Kim Woohyun , Choi Sungyun
Published: April 2022

The expected increase in renewable energy sources (RESs) and electric vehicles (EVs) connected to distribution systems will result in many technical constraints. A meshed network is a promising solution; however, some remarkable challenges must be overcome. Among these, this paper mainly focuses on the line overload and short circuit current of a networked distribution system (NDS) in Korea, an advanced form of meshed network. An NDS refers to a system in which there exists permanent linkages between four feeders and N × N communication-based protection. We propose a method, which employs the tap changing control algorithm of the series reactor to control line overload and short circuit current. MATLAB/Simulink was used to evaluate the proposed method. Three different types of distribution system were employed. First, the utilization rate and feeder imbalance were analyzed in steady-state condition. Subsequently, the short circuit current was analyzed in short circuit condition. The results revealed that the proposed method can effectively prevent line overload in up to 82.7% of cases, enhance the utilization rate by up to 79.9%, and relieve the short circuit current; that is, it can contribute to system stability and the economic operation of an NDS.
Electric Vehicle Charging Station Location Model considering Charging Choice Behavior and Range Anxiety
Authors: Liu Huasheng , Li Yu , Zhang Chongyu , Li Jin , Li Xiaowen , Zhao Yuqi
Published: April 2022

Electric vehicles (EVs) have the advantages of low pollution, low energy consumption, and high energy efficiency, so they are highly valued by governments, enterprises, and consumers. However, the promotion and use of electric vehicles is restricted to a certain extent because of their limited range. This paper selects electric vehicle intercity medium- and long-distance travel as the research object, and takes the classical flow-capturing location problem as the theoretical basis for the expressway network or national highway network. This paper also considers the driver’s charging choice behavior and range anxiety, studies the electric vehicle charging station location problem, establishes the charging station location model, and uses the Tabu search algorithm to solve the problem. Finally, the effectiveness of the model and algorithm is verified by empirical analysis. The results show that the charging station location model considering the driver’s charging choice behavior and range anxiety performs better.
How Sustainable Is Human Resource Management Really? An Argument for Radical Sustainability
Authors: Bal Matthijs , Brookes Andy
Published: April 2022

Sustainability has become an increasingly popular concept in relation to contemporary organizational life. The current paper reviews the concept of sustainability in relation to Human Resource Management [HRM] and poses the question whether HRM can become truly sustainable. Analyzing the notion of sustainability as an empty concept, this paper searches for new and radical meanings for sustainable HRM. Anchored in a radical understanding of sustainability as the protection and promotion of the dignity of people and the planet, this paper reviews the state of the art of contemporary HR systems and practices. It also positions sustainable HRM in the context of planetary survival and the role organizations may play in the transformation to sustainable economies. To conceptualize sustainable HRM, it is necessary to integrate new meanings through postulating appealing narratives around non-capitalist sustainable living.
Sustainability through Rural Tourism in Moieciu Area-Development Analysis and Future Proposals
Authors: Popescu Gabriela , Popescu Cosmin Alin , Iancu Tiberiu , Brad Ioan , Peț Elena , Adamov Tabita , Ciolac Ramona
Published: April 2022

In our days consumers are interested and visibly reoriented towards natural/local/organic products. Starting from this specificity, the development of rural tourism can come as a possible sustainable response to be implemented in many of the rural areas, such an example being the Moieciu area subject to our analysis. The main objective of this paper is to achieve an analysis of rural tourism activity’s development stage from Moieciu area, from the tourist’s perspective, using case study method and as “main tool of research” the questionnaire. Thus, several research-oriented goals followed are: establishing the arguments for practicing tourism in rural areas; describing the development of Bran-Moieciu area from economic, agricultural and tourist point of view; identifying the reasons for which Moieciu area is a place where tourism can ensure sustainable development. The measure of appreciation of this area by the tourist is analyzed through a face-to-face questionnaire, having as purpose to identify: the capitalization level of local resources through rural tourism activities; the extent to which local resources are present in the product consumed by tourists; the satisfaction degree and expectations regarding the tourist product; the connection between tourism and area development in terms of satisfaction. Based on the information obtained some proposals/possible directions will be proposed to transform the area into “a possible model of sustainable rural tourism development”.
Engine Knock Sensor Based on Symmetrical Rhomboid Structure-Encapsulated Fiber Bragg Grating
Authors: Song Hongbo , Yin Daqing
Published: April 2022

Due to the improvement of environmental protection emission standards, new energy vehicles fueled by natural gas and hydrogen green clean energy have developed rapidly. However, knock is one of the most important parameters that must be monitored for the safe operation of natural gas and hydrogen engines, so higher requirements are put forward for the reliability and durability of knock sensors. At present, the common knock sensors are mainly electronic sensors based on magnetostrictive and piezoelectric principles, and the sensing signals are easily interfered by electromagnetic interference during use, which is not conducive to the accurate measurement and control of knock. In this paper, a new resonant knock sensor based on fiber Bragg grating (FBG) is proposed to meet the actual needs of knock monitoring, and the FBG sensor unit is encapsulated with symmetrical rhomboid structure. The natural frequency of rhomboid structure is simulated and analyzed by Ansys software. The natural frequency of rhomboid structure is measured by applying transient impact. The resonance frequency of sensor is analyzed by Matlab software. The theoretical analysis is consistent with the measured value, which verifies the feasibility of the new knock sensor. Compared with the traditional engine knock sensor, this resonant engine knock sensor based on FBG has more advantages in anti-electromagnetic interference and multi-point networking, which provides a new method for knock monitoring of new energy engines.
Shared Quantum Key Distribution Based on Asymmetric Double Quantum Teleportation
Authors: Cardoso-Isidoro Carlos , Delgado Francisco
Published: April 2022

Quantum cryptography is a well-stated field within quantum applications where quantum information is used to set secure communications, authentication, and secret keys. Now used in quantum devices with those purposes, particularly Quantum Key Distribution (QKD), which proposes a secret key between two parties free of effective eavesdropping, at least at a higher level than classical cryptography. The best-known quantum protocol to securely share a secret key is the BB84 one. Other protocols have been proposed as adaptations of it. Most of them are based on the quantum indeterminacy for non-orthogonal quantum states. Their security is commonly based on the large length of the key. In the current work, a BB84-like procedure for QKD based on double quantum teleportation allows the sharing of the key statement using several parties. Thus, the quantum bits of information are assembled among three parties via entanglement, instead of travelling through a unique quantum channel as in the traditional protocol. Asymmetry in the double teleportation plus post-measurement retains the secrecy in the process. Despite requiring more complex control and resources, the procedure dramatically reduces the probability of success for an eavesdropper under individual attacks, because of the ignorance of the processing times in the procedure. Quantum Bit Error Rate remains in the acceptable threshold and it becomes configurable. The article depicts the double quantum teleportation procedure, the associated control to introduce the QKD scheme, the analysis of individual attacks performed by an eavesdropper, and a brief comparison with other protocols.
Fast Overlapping Block Processing Algorithm for Feature Extraction
Authors: Abdulhussain Sadiq H. , Mahmmod Basheera M. , Flusser Jan , AL-Utaibi Khaled A. , Sait Sadiq M.
Published: April 2022

In many video and image processing applications, the frames are partitioned into blocks, which are extracted and processed sequentially. In this paper, we propose a fast algorithm for calculation of features of overlapping image blocks. We assume the features are projections of the block on separable 2D basis functions (usually orthogonal polynomials) where we benefit from the symmetry with respect to spatial variables. The main idea is based on a construction of auxiliary matrices that virtually extends the original image and makes it possible to avoid a time-consuming computation in loops. These matrices can be pre-calculated, stored and used repeatedly since they are independent of the image itself. We validated experimentally that the speed up of the proposed method compared with traditional approaches approximately reaches up to 20 times depending on the block parameters.
The NESTORE e-Coach: Designing a Multi-Domain Pathway to Well-Being in Older Age
Authors: Angelini Leonardo , El Kamali Mira , Mugellini Elena , Abou Khaled Omar , Röcke Christina , Porcelli Simone , Mastropietro Alfonso , Rizzo Giovanna , Boqué Noemi , del Bas Josep Maria , Palumbo Filippo , Girolami Michele , Crivello Antonino , Ziylan Canan , Subías-Beltrán Paula , Orte Silvia , Standoli Carlo Emilio , Fernandez Maldonado Laura , Caon Maurizio , Sykora Martin , Elayan Suzanne , Guye Sabrina , Andreoni Giuseppe
Published: April 2022

This article describes the coaching strategies of the NESTORE e-coach, a virtual coach for promoting healthier lifestyles in older age. The novelty of the NESTORE project is the definition of a multi-domain personalized pathway where the e-coach accompanies the user throughout different structured and non-structured coaching activities and recommendations. The article also presents the design process of the coaching strategies, carried out including older adults from four European countries and experts from the different health domains, and the results of the tests carried out with 60 older adults in Italy, Spain and The Netherlands.
AI Denoising Significantly Enhances Image Quality and Diagnostic Confidence in Interventional Cone-Beam Computed Tomography
Authors: Brendlin Andreas S. , Estler Arne , Plajer David , Lutz Adrian , Grözinger Gerd , Bongers Malte N. , Tsiflikas Ilias , Afat Saif , Artzner Christoph P.
Published: April 2022

(1) To investigate whether interventional cone-beam computed tomography (cbCT) could benefit from AI denoising, particularly with respect to patient body mass index (BMI); (2) From 1 January 2016 to 1 January 2022, 100 patients with liver-directed interventions and peri-procedural cbCT were included. The unenhanced mask run and the contrast-enhanced fill run of the cbCT were reconstructed using weighted filtered back projection. Additionally, each dataset was post-processed using a novel denoising software solution. Place-consistent regions of interest measured signal-to-noise ratio (SNR) per dataset. Corrected mixed-effects analysis with BMI subgroup analyses compared objective image quality. Multiple linear regression measured the contribution of “Radiation Dose”, “Body-Mass-Index”, and “Mode” to SNR. Two radiologists independently rated diagnostic confidence. Inter-rater agreement was measured using Spearman correlation (r); (3) SNR was significantly higher in the denoised datasets than in the regular datasets (p < 0.001). Furthermore, BMI subgroup analysis showed significant SNR deteriorations in the regular datasets for higher patient BMI (p < 0.001), but stable results for denoising (p > 0.999). In regression, only denoising contributed positively towards SNR (0.6191; 95%CI 0.6096 to 0.6286; p < 0.001). The denoised datasets received overall significantly higher diagnostic confidence grades (p = 0.010), with good inter-rater agreement (r ≥ 0.795, p < 0.001). In a subgroup analysis, diagnostic confidence deteriorated significantly for higher patient BMI (p < 0.001) in the regular datasets but was stable in the denoised datasets (p ≥ 0.103).; (4) AI denoising can significantly enhance image quality in interventional cone-beam CT and effectively mitigate diagnostic confidence deterioration for rising patient BMI.
MRI Assessment of Motor Capabilities in Patients with Duchenne Muscular Dystrophy According to the Motor Function Measure Scale
Authors: Suslov Vasily , Suslova Galina , Lytaev Sergey
Published: April 2022

The research was aimed on the study of motor capabilities on the Motor Function Measure (MFM) scale in ambulant and non-ambulant patients with Duchenne muscular dystrophy, and to conduct a correlation analysis between the results of the MFM scale and Magnetic Resonance Imaging (MRI) data. A total of 46 boys who had genetically confirmed Duchenne muscular dystrophy (age from 2.1 to 16.7 years) and were in clinical rehabilitation were investigated. An assessment was performed according to the Motor Function Measure scale (subsections D1, D2, D3, and the total score), an MRI obtaining T1-VI of the muscles of the pelvic girdle was conducted, and the thighs and lower legs were further assessed in terms of the severity of fibrous-fat degeneration according to the Mercuri scale. In ambulant patients, the ability to stand up and move (D1) was 74.4%, axial and proximal motor functions (D2)—97.6%, distal motor functions (D3)—96.2%, and total score was 87.9%. In non-ambulant patients, the ability to stand up and move (D1) was 1.7%, axial and proximal motor functions (D2)—47%, distal motor functions (D3)—67.5%, and the total score—33.1%. A high inverse correlation (r = −0.7, p < 0.05) of the MRI data of the pelvic girdle and thighs with tasks D1, as well as a noticeable inverse correlation with tasks D2 (r = −0.6, p < 0.05) of the scale MFM, were revealed in the ambulant group of patients. In the non-ambulant group of patients, the MRI data of the lower legs muscles were characterized by a high inverse correlation (r = −0.7, p < 0.05) with tasks D3 and a noticeable inverse correlation (r = −0.6, p < 0.05) with tasks D1 of the MFM scale. Conclusion: The Motor Function Measure scale allows effective assessment of the motor capabilities of patients with Duchenne muscular dystrophy at different stages of the disease, which is confirmed by visualization of fibro-fatty muscle replacement.
Quantitative Assessment of Late Gadolinium Enhancement and Edema at Cardiac Magnetic Resonance in Low-Risk Myocarditis Patients
Authors: Monti Caterina Beatrice , Secchi Francesco , Alì Marco , Carbone Francesco Saverio , Bonomo Luca , Capra Davide , Mobini Nazanin , Di Leo Giovanni , Sardanelli Francesco
Published: April 2022

In this study, we aimed to quantify LGE and edema at short-tau inversion recovery sequences on cardiac magnetic resonance (CMR) in patients with myocarditis. We retrospectively evaluated CMR examinations performed during the acute phase and at follow-up. Forty-seven patients were eligible for retrospective LGE assessment, and, among them, twenty-five patients were eligible for edema evaluation. Both groups were paired with age- and sex-matched controls. The median left ventricle LGE was 6.4% (interquartile range 5.0–9.2%) at the acute phase, 4.4% (3.3–7.2%) at follow-up, and 4.3% (3.0–5.3%) in controls, the acute phase being higher than both follow-up and controls (p < 0.001 for both), while follow-up and controls did not differ (p = 0.139). An optimal threshold of 5.0% was obtained for LGE with 87% sensitivity and 48% specificity; the positive likelihood ratio (LR) was 1.67, and the negative LR was 0.27. Edema was 12.8% (9.4–18.1%) at the acute phase, 7.3% (5.5–8.8%) at follow-up, and 6.7% (5.6–8.6%) in controls, the acute phase being higher than both follow-up and controls (both p < 0.001), while follow-up and controls did not differ (p = 0.900). An optimal threshold of 9.5% was obtained for edema with a sensitivity of 76% and a specificity of 88%; the positive LR was 6.33, and the negative LR was 0.27. LGE and edema thresholds are useful in cases of suspected mild myocarditis.
Radiation Dose Management in Pediatric Brain CT According to Age and Weight as Continuous Variables
Authors: Inoue Yusuke , Itoh Hiroyasu , Waga Anri , Sasa Ryosuke , Mitsui Kohei
Published: April 2022

The diagnostic reference levels (DRLs) for pediatric brain computed tomography (CT) are provided for groups divided according to age. We investigated the relationships of radiation dose indices (volume CT dose index and dose length product) with age and weight, as continuous variables, in pediatric brain CT. In a retrospective analysis, 980 pediatric brain CT examinations were analyzed. Curve fitting was performed for plots of the CT dose indices versus age and weight, and equations to estimate age- and weight-dependent standard dose indices were derived. Standard dose indices were estimated using the equations, and the errors were calculated. The results showed a biphasic increase in dose indices with increasing age and weight, characterized by a rapid initial and subsequent slow increase. Logarithmic, power, and bilinear functions were well fitted to the plots, allowing estimation of standard dose indices at an arbitrary age or weight. Error analysis suggested that weight was mildly better than age and that the best results were obtained with the bilinear function. Curve fitting of the relationship between CT dose indices and age or weight facilitates the determination of standard dose indices in pediatric brain CT at each facility and is expected to aid the establishment and application of the DRLs.
Assessment of Carbon-Related Scenarios for Tourism Development in the Island of Lefkada in Greece
Authors: Soldatou Niovi , Chatzianastasiadou Pinelopi , Vagiona Dimitra G.
Published: April 2022

To address the adverse impact of climate change, the concept of low-carbon tourism has recently been developed, which promotes a new way of travelling to obtain higher value and travel experience for tourists as well as more social, economic, and environmental benefits for society by reducing carbon emissions caused by tourists’ activities. The present study proposes and applies a methodological approach to assess various carbon-related scenarios for tourism development on the island of Lefkada, Greece. The methodology includes two phases: the diagnosis and the assessment phase. The diagnosis phase includes four distinct steps: (i) SWOT analysis, (ii) STEEP analysis, (iii) identification of driving forces (DF) and (iv) formulation of four tourism development scenarios based on two axes of uncertainty. The assessment phase includes: (i) a pairwise comparison of DF and (ii) selection of the preferred tourism development scenario. A combination of two multicriteria analyses, namely the Analytical Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), is implemented to rank the four tourism development scenarios. The two most essential driving forces for defining the priority order of the tourism development scenario are National Policies—Green Development and Local Community Awareness. The scenario that promotes low-carbon tourism is the preferred scenario for the study area. The presented research results could provide a reference for relevant tourism development in the study area and the proposed methodology can be applied in all tourism destinations.
Exposure to Air Pollutants Increases the Risk of Chronic Rhinosinusitis in Taiwan Residents
Authors: Chen Shih-Wei , Lin Han-Jie , Tsai Stella Chin-Shaw , Lin Cheng-Li , Hsu Chung Y. , Hsieh Tsai-Ling , Chen Chuan-Mu , Chang Kuang-Hsi
Published: April 2022

Air pollution triggers a tissue-specific inflammatory response. However, studies on the association between exposure to air pollutants and chronic rhinosinusitis (CRS) risk remain limited. Thus, we conducted this nationwide study to define the association between air pollution and CRS. We used the Longitudinal Health Insurance Database (LHID) and Taiwan Air Quality-Monitoring Database (TAQMD) to conduct a population-based cohort study. Study participants were recruited from the LHID, a data subset of the National Health Insurance Research Database that randomly sampled one million individuals. TAQMD has been an air pollutant database since 1998. In univariate and multivariate Cox proportional hazards regression models, adjusted hazard ratios (aHRs) and 95% CIs of CRS in five air pollutants were accounted. We adjusted for age, sex, urbanization level, insurance fee, comorbidities, and pollutant levels in the multivariate model. The total number of participants enrolled in this study was 160,504. The average age was 40.46 ± 14.62 years; males constituted 43.8% of the total participants. The percentages of alcoholism, tobacco dependence, and COPD were 1.5%, 2.8%, and 28.3%, respectively. After adjustment for age, sex, urbanization level, insurance fee, and comorbidities, the highest levels of air pollutants, including PM2.5 (aHR = 1.14, 95% CI = 1.06–1.22), NO2 (aHR = 1.07, 95% CI = 1.00–1.15), and PM10 (aHR = 1.13, 95% CI = 1.05–1.21) had a significantly greater CRS risk; we selected the lower concentration as the reference but did not correlate with CO. We found a significantly increased risk of CRS in residents with air pollutant exposure.
Preparation and Evaluation of a Horse Antiserum against the Venom of Sea Snake Hydrophis curtus from Hainan, China
Authors: Wang Bo , Liu Guoyan , Luo Min , Zhang Xin , Wang Qianqian , Zou Shuaijun , Zhang Fuhai , Jin Xia , Zhang Liming
Published: April 2022

Sea snake venom is extremely toxic, and it can induce severe respiratory failure and cause high mortality. The most effective first aid treatment for sea snake bites is to inject antivenom as soon as possible. However, in China, there are only four types of terrestrial snake antivenoms, none of which are effective in the treatment of sea snake bites. In order to develop an antivenom for the dominant species of sea snakes in Chinese seas, Hydrophis curtus venom (HcuV) was chosen as the antigen to immunize horses. From immune plasma, a high-titer Hydrophis curtus antivenom (HcuAV) was prepared. In vitro assessment showed that HcuAV had a cross-neutralizing capacity against HcuV and Hydrophis cyanocinctus venom (HcyV). In vivo assessment indicated that HcuAV injection could significantly improve the survival rates of the HcuV and HcyV envenomated mice (0% to 100% and 87.5%, respectively) when it was injected at a sufficient amount within the shortest possible time. In addition, HcuAV could also effectively alleviate multiple organ injuries caused by HcuV. These results provide experimental support for the future clinical application of HcuAV.
Social Information-Processing in Children with Adverse Experiences
Authors: Mesquita Soraia , Martins Paula Cristina
Published: April 2022

The concept of childhood adversity has been highlighted in the literature, given its relevance and impact on child development. According to the adaptation-based approach, children who develop in adverse environments adapt cognitively and behaviorally to them. The purpose of this study was to investigate possible relationships between adverse experiences and social information processes of threat detection behaviors and hostile attribution bias, in school-aged children. To this end, a non-probabilistic sample of 67 children from 7 to 10 years of age was constituted. We developed three instruments to assess: (1) adverse experiences, (2) threat detection behaviors, and (3) hostile attribution bias. Results reveal that adverse experiences are significantly correlated with and predict threat detection behaviors. However, children with more adverse experiences do not demonstrate a higher hostile attribution bias. This study contributes to the knowledge about how adverse experiences are related to children’s social information-processing and functioning, which can have implications for the elaboration of intervention programs.
From Hopf Algebra to Braided L∞-Algebra
Authors: Grewcoe Clay James , Jonke Larisa , Kodžoman Toni , Manolakos George
Published: April 2022

We show that an L∞-algebra can be extended to a graded Hopf algebra with a codifferential. Then, we twist this extended L∞-algebra with a Drinfel’d twist, simultaneously twisting its modules. Taking the L∞-algebra as its own (Hopf) module, we obtain the recently proposed braided L∞-algebra. The Hopf algebra morphisms are identified with the strict L∞-morphisms, whereas the braided L∞-morphisms define a more general L∞-action of twisted L∞-algebras.
Role of Cellular Receptors in the Innate Immune System of Crustaceans in Response to White Spot Syndrome Virus
Authors: Tran Ngoc Tuan , Liang Huifen , Zhang Ming , Bakky Md. Akibul Hasan , Zhang Yueling , Li Shengkang
Published: April 2022

Innate immunity is the only defense system for resistance against infections in crustaceans. In crustaceans, white spot diseases caused by white spot syndrome virus (WSSV) are a serious viral disease with high accumulative mortality after infection. Attachment and entry into cells have been known to be two initial and important steps in viral infection. However, systematic information about the mechanisms related to WSSV infection in crustaceans is still limited. Previous studies have reported that cellular receptors are important in the innate immune system and are responsible for the recognition of foreign microorganisms and in the stimulation of the immune responses during infections. In this review, we summarize the current understanding of the functions of cellular receptors, including Toll, C-type lectin, scavenger receptor, β-integrin, polymeric immunoglobulin receptor, laminin receptor, globular C1q receptor, lipopolysaccharide-and β-1,3-glucan-binding protein, chitin-binding protein, Ras-associated binding, and Down syndrome cell adhesion molecule in the innate immune defense of crustaceans, especially shrimp and crabs, in response to WSSV infection. The results of this study provide information on the interaction between viruses and hosts during infections, which is important in the development of preventative strategies and antiviral targets in cultured aquatic animals.
COVID-19 in Elderly, Immunocompromised or Diabetic Patients—From Immune Monitoring to Clinical Management in the Hospital
Authors: Wünsch Korbinian , Anastasiou Olympia E. , Alt Mira , Brochhagen Leonie , Cherneha Maxim , Thümmler Laura , van Baal Lukas , Madel Rabea J. , Lindemann Monika , Taube Christian , Witzke Oliver , Rohn Hana , Krawczyk Adalbert , Jansen Sarah
Published: April 2022

The novel, highly transmissible severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has triggered a pandemic of acute respiratory illness worldwide and remains a huge threat to the healthcare system’s capacity to respond to COVID-19. Elderly and immunocompromised patients are at increased risk for a severe course of COVID-19. These high-risk groups have been identified as developing diminished humoral and cellular immune responses. Notably, SARS-CoV-2 RNA remains detectable in nasopharyngeal swabs of these patients for a prolonged period of time. These factors complicate the clinical management of these vulnerable patient groups. To date, there are no well-defined guidelines for an appropriate duration of isolation for elderly and immunocompromised patients, especially in hospitals or nursing homes. The aim of the present study was to characterize at-risk patient cohorts capable of producing a replication-competent virus over an extended period after symptomatic COVID-19, and to investigate the humoral and cellular immune responses and infectivity to provide a better basis for future clinical management. In our cohort, the rate of positive viral cultures and the sensitivity of SARS-CoV-2 antigen tests correlated with higher viral loads. Elderly patients and patients with diabetes mellitus had adequate cellular and humoral immune responses to SARS-CoV-2 infection, while immunocompromised patients had reduced humoral and cellular immune responses. Our patient cohort was hospitalized for longer compared with previously published cohorts. Longer hospitalization was associated with a high number of nosocomial infections, representing a potential hazard for additional complications to patients. Most importantly, regardless of positive SARS-CoV-2 RNA detection, no virus was culturable beyond a cycle threshold (ct) value of 33 in the majority of samples. Our data clearly indicate that elderly and diabetic patients develop a robust immune response to SARS-CoV-2 and may be safely de-isolated at a ct value of more than 35.
Genetic Diversity of the Hemagglutinin Genes of Influenza a Virus in Asian Swine Populations
Authors: Saito Takehiko , Sakuma Saki , Mine Junki , Uchida Yuko , Hangalapura Basav N.
Published: April 2022

Swine influenza (SI) is a major respiratory disease of swine; SI is due to the influenza A virus of swine (IAV-S), a highly contagious virus with zoonotic potential. The intensity of IAV-S surveillance varies among countries because it is not a reportable disease and causes limited mortality in swine. Although Asia accounts for half of all pig production worldwide, SI is not well managed in those countries. Rigorously managing SI on pig farms could markedly reduce the economic losses, the likelihood of novel reassortants among IAV-S, and the zoonotic IAV-S infections in humans. Vaccination of pigs is a key control measure for SI, but its efficacy relies on the optimal antigenic matching of vaccine strains with the viral strains circulating in the field. Here, we phylogenetically reviewed the genetic diversity of the hemagglutinin gene among IAVs-S that have circulated in Asia during the last decade. This analysis revealed the existence of country-specific clades in both the H1 and H3 subtypes and cross-border transmission of IAVs-S. Our findings underscore the importance of choosing vaccine antigens for each geographic region according to both genetic and antigenic analyses of the circulating IAV-S to effectively manage SI in Asia.
mRNA- and Adenovirus-Based Vaccines against SARS-CoV-2 in HIV-Positive People
Authors: Garbuglia Anna Rosa , Minosse Claudia , Del Porto Paola
Published: April 2022

About two years have passed since the identification of SARS-CoV-2 in China. The rapid spread of this virus all over the world and its high transmissibility and pathogenicity in humans have resulted in a global pandemic. The negative impact of COVID-19 on health, society and the economy at the global level has pushed researchers and pharmaceutical companies to develop effective vaccines to fight SARS-CoV-2. Thanks to this collaborative effort, the first COVID-19 vaccine was developed in less than a year. Since then, several COVID-19 vaccines have been validated for use by the World Health Organization. Among these, mRNA- (BNT162b2 and mRNA1273) and adenovirus-based (ChAdOx1) vaccines were developed through the use of novel technologies. While all three of these vaccines have shown effectiveness against the COVID-19 disease and their immunogenicity was characterized in clinical trials in the general population, data on their efficacy and immunogenicity in people living with HIV (PLWH) are limited. In this review, we provide a description of the characteristics of mRNA- and adenovirus-based vaccines and of the immune response elicited in the general population by vaccination. Then we describe the use of these vaccines and their efficacy and immunogenicity in people living with HIV and we conclude with a discussion regarding some open questions concerning the use of mRNA- and adenovirus-based COVID-19 vaccines in PLWH.
Cognition and Behavior of COVID-19 Vaccination Based on the Health Belief Model: A Cross-Sectional Study
Authors: Cai Zemin , Hu Wei , Zheng Shukai , Wen Xilin , Wu Kusheng
Published: April 2022

Background: Vaccination is the most effective method for the prevention of COVID-19. However, willingness to be vaccinated is not consistent. This study aimed to explore vaccine cognition, risk perception, and health behavior of COVID-19 in China. Methods: A cross-sectional survey was performed in Guangdong province, China, including demographic characteristics, health status and preventive behaviors, cognition of COVID-19 vaccination, and the health belief model (HBM). Results: A total of 1640 participants were recruited. The main access to information about COVID-19 and vaccination as through official news and broadcasts (67.3%), social network software (58.7%), and professional popularization (46.2%). The precautions taken were wearing a mask (67.0%) and avoiding gathering together (71.3%). COVID-19 vaccination acceptability was different among different age groups and educational levels (p < 0.001). The major reasons for accepting vaccination included that it was an effective way to prevent COVID-19 (61.8%) and that it was required by working units/schools (51.1%). The fitting effect indexes of the (HBM) Model 2 showed better fitting than those of Model 1. In Model 2, perceived benefits (OR = 3.13, 95% CI: 1.79–5.47), cues to action (OR = 2.23, 95% CI: 1.60–3.11), and different occupations (OR = 1.13, 95% CI: 1.04–1.23) were positively correlated with vaccine acceptance; while perceived susceptibility (OR = 0.47, 95% CI: 0.30–0.74) and perceived barriers (OR = 0.44, 95% CI: 0.29–0.69) were negative factors associated with vaccine acceptance. Conclusion: Different sociodemographic characteristics lead to differences in acceptance of vaccination, and the publicity and credibility of government play an indispensable role in epidemic control. The establishment of the HBM further predicted that perceived susceptibility to COVID-19, benefits of vaccination, barriers of cognition, and cue to action were the influencing factors of intention and health behaviors.