bluuebunny/crossref_metadata_2025 huggingface dataset:
Drone Deep Reinforcement Learning: A Review
Authors: Azar Ahmad Taher , Koubaa Anis , Ali Mohamed Nada , Ibrahim Habiba A. , Ibrahim Zahra Fathy , Kazim Muhammad , Ammar Adel , Benjdira Bilel , Khamis Alaa M. , Hameed Ibrahim A. , Casalino Gabriella
Published: April 2021

Unmanned Aerial Vehicles (UAVs) are increasingly being used in many challenging and diversified applications. These applications belong to the civilian and the military fields. To name a few; infrastructure inspection, traffic patrolling, remote sensing, mapping, surveillance, rescuing humans and animals, environment monitoring, and Intelligence, Surveillance, Target Acquisition, and Reconnaissance (ISTAR) operations. However, the use of UAVs in these applications needs a substantial level of autonomy. In other words, UAVs should have the ability to accomplish planned missions in unexpected situations without requiring human intervention. To ensure this level of autonomy, many artificial intelligence algorithms were designed. These algorithms targeted the guidance, navigation, and control (GNC) of UAVs. In this paper, we described the state of the art of one subset of these algorithms: the deep reinforcement learning (DRL) techniques. We made a detailed description of them, and we deduced the current limitations in this area. We noted that most of these DRL methods were designed to ensure stable and smooth UAV navigation by training computer-simulated environments. We realized that further research efforts are needed to address the challenges that restrain their deployment in real-life scenarios.
The Relationship between Economic Growth and Pollution in Some New European Union Member States: A Dynamic Panel ARDL Approach
Authors: Simionescu Mihaela , Păuna Carmen Beatrice , Niculescu Mihaela-Daniela Vornicescu
Published: April 2021

Considering the necessity of achieving economic development by keeping the quality of the environment, the aim of this paper is to study the impact of economic growth on GHG emissions in a sample of Central and Eastern European (CEE) countries (V4 countries, Bulgaria and Romania) in the period of 1996–2019. In the context of dynamic ARDL panel and environmental Kuznets curve (EKC), the relationship between GHG and GDP is N-shaped. A U-shaped relationship was obtained in the renewable Kuznets curve (RKC). Energy consumption, domestic credit to the private sector, and labor productivity contribute to pollution, while renewable energy consumption reduces the GHG emissions. However, more efforts are required for promoting renewable energy in the analyzed countries.
A Parameter Independent Stator Current Space-Vector Reference Frame-Based Sensorless IPMSM Drive Using Sliding Mode Control
Authors: Moradian Mohammadreza , Soltani Jafar , Benbouzid Mohamed , Najjar-Khodabakhsh Abbas
Published: April 2021

In this paper, a sliding mode control is presented for direct torque and stator flux control of interior permanent magnet synchronous motor in a rotor speed sensorless drive system. The control scheme is developed in a specific synchronous rotating reference frame (X-Y) in which the stator current space vector coincides with the direct (X) axis. For this control technique no need to have any knowledge of machine parameters such as stator two-axis inductances, rotor permanent magnets flux linkage, and even the rotor initial position. However, the on-line actual stator resistance value is required to estimate the stator flux components in the stator stationary two-axis reference frame. In this control strategy, two simple methods are described for estimating the rotor speed and stator resistance. Some simulation and experimental results are presented to support the validity and effectiveness of the proposed control scheme.
Thermo-Hydraulic Modelling and Experimental Validation of an Electro-Hydraulic Compact Drive
Authors: Ketelsen Søren , Michel Sebastian , Andersen Torben O. , Ebbesen Morten Kjeld , Weber Jürgen , Schmidt Lasse
Published: April 2021

Electro-hydraulic compact drives (ECDs) are an emerging technology for linear actuation in a wide range of applications. Especially within the low power range of 5–10 kW, the plug-and-play capability, good energy efficiency and small space requirements of ECDs render this technology a promising alternative to replace conventional valve-controlled linear drive solutions. In this power range, ECDs generally rely on passive cooling to keep oil and system temperatures within the tolerated range. When expanding the application range to larger power classes, passive cooling may not be sufficient. Research investigating the thermal behaviour of ECDs is limited but indeed required for a successful expansion of the application range. In order to obtain valuable insights into the thermal behaviour of ECDs, thermo-hydraulic simulation is an important tool. This may enable system design engineers to simulate thermal behaviour and thus develop proper thermal designs during the early design phase, especially if such models contain few parameters that can be determined with limited information available. Our paper presents a lumped thermo-hydraulic model derived from the conservation of mass and energy. The derived model was experimentally validated based on experimental data from an ECD prototype. Results show good accuracy between measured and simulated temperatures. Even a simple thermal model containing only a few thermal resistances may be sufficient to predict steady-state and transient temperatures with reasonable accuracy. The presented model may be used for further investigations into the thermal behaviour of ECDs and thus toward proper thermal designs required to expand the application range.
Comparison of Biological Efficiency Assessment Methods and Their Application to Full-Scale Biogas Plants
Authors: Hülsemann Benedikt , Mächtig Torsten , Pohl Marcel , Liebetrau Jan , Müller Joachim , Hartung Eberhard , Oechsner Hans
Published: April 2021

For calculation of biological efficiency of a biogas plant (BP), it is required to determine the specific methane potential (SMP) of the substrate. A study comparing available methods for determination of SMP and the comparison with data of full-scale BPs is missing but necessary according to the differences in process conditions between both. Firstly, mass and mass associated energy balances of 33 full-scale BPs were calculated and evaluated. The results show plausible data for only 55% of the investigated BPs. Furthermore, conversion and yield efficiencies were calculated according to six different methods for SMP determination. The results show a correlation between the measured on-site specific methane yield and the calculated SMP by methods based on biological degradability. However, these methods underestimate the SMP. Calculated SMPs based on calorific values are higher, but less sensitive. A combination of biochemical and energetical methods is a promising approach to evaluate the efficiency.
Method for Assessment of Operation of Analog Filters Installed in the Measuring Lines for Electrical Quantities of a Mining Machine’s Converter Power Supply System
Authors: Joostberens Jarosław , Pawlikowski Arkadiusz , Prostański Dariusz , Nieśpiałowski Krzysztof
Published: April 2021

A method for assessing the operation of analog filters installed in the measuring paths of current and voltage converters in the power supply system of a mining machine motor, using the example of the driving unit of a roadheader’s cutterhead, is presented. The suggested method is based on the identification of the fundamental harmonic of signals from the current and voltage sensors observed at the input and output of the tested filters, respectively. The identified parameters of the fundamental harmonic of signals before and after the filter allow the determination of points of the filter frequency’s characteristics and their comparison with the reference values. In the suggested method of assessing the operation of analog filters, the new approach consists of checking the frequency characteristics on the basis of identification of the basic harmonics of the signal at the input and output of the tested filter (installed in the measuring line of the electrical quantity) using data acquired during the frequency start-up of the mining machine driving motor under normal operational conditions. Results are presented of the filter performance assessment, using the suggested method, after three years of its operation in the measuring system. For this purpose, empirical data recorded during the operation of a roadheader on a test stand are used. The results are compared with the theoretical frequency characteristics of the tested filters.
The Known, the Unknown, and the Expected: 130 Years of Research on Non-Lichenized Fungi and Fungus-Like Organisms in the Białowieża Primeval Forest, Poland
Authors: Ruszkiewicz-Michalska Małgorzata , Kozłowska Monika , Wilk Mateusz , Janik-Superson Katarzyna , Mułenko Wiesław
Published: April 2021

The history of mycological research and current activities in the Polish part of the Białowieża Primeval Forest are presented. The review of literature-derived and unpublished data on species of non-lichenized fungi and protozoan and chromistan fungal analogues indicates a minimum of 3504 species observed in this area. The gaps in the exploration of fungi: unstudied taxa, plant communities, habitats, hosts, and substrates, as well as the limitations of former studies, are discussed. Our estimates show that a total of 8000 fungal species possibly occur in the Białowieża National Park alone, and more than 10,000 are expected to be found in the Polish part of the Białowieża Primeval Forest. Despite more than a centennial history of mycological research, the majority of data come from only a few older scientific projects and several more recent citizen-science-related activities, emphasizing the need for a modern, interdisciplinary study on the diversity and ecology of fungi in this area.
Technological, Nutritional and Sensory Properties of an Innovative Gluten-Free Double-Layered Flat Bread Enriched with Amaranth Flour
Authors: Piga Antonio , Conte Paola , Fois Simonetta , Catzeddu Pasquale , Del Caro Alessandra , Sanguinetti Anna Maria , Fadda Costantino
Published: April 2021

Celiac disease is increasing all over the world. In this context, most recent research in this area is addressing and attempting to improve the nutritional value and sensory characteristics of gluten-free (GF) food products and to enhance their technological properties. Here, amaranth flour was studied as a potential healthy ingredient for the development of an innovative GF flat bread. Starting from two different basic formulations (rice flour:corn starch and rice flour:tapioca starch, 50:50), the impact of partially replacing rice flour (6%) and starch (6%) with amaranth on the nutritional characteristics, polyphenol composition, textural, and sensory properties of the resulting GF flat breads was explored. The substitution with amaranth led to detrimental effects on the doughs’ viscometric properties, especially in the case of tapioca starch, but significantly improved the doughs’ textural properties. All the amaranth-enriched flat breads showed a better color and a significant increase in all polyphenols fractions but lower antioxidant activity. During bread storage for three days, a detrimental effect on both starch retrogradation, toughness, and extensibility properties were observed, especially when tapioca starch was used. Check-all-that-apply (CATA) sensory test results showed that the incorporation of amaranth increased yeast odor and yeast flavor perception and decreased the softness in mouth-only in tapioca-based samples. A better compromise among technological, nutritional, and sensory properties was achieved when amaranth flour was added to the basic rice and corn formulation.
Optimised Extraction and Preliminary Characterisation of Mannoproteins from Non-Saccharomyces Wine Yeasts
Authors: Snyman Carla , Mekoue Nguela Julie , Sieczkowski Nathalie , Marangon Matteo , Divol Benoit
Published: April 2021

The exogenous application of yeast-derived mannoproteins presents many opportunities for the improvement of wine technological and oenological properties. Their isolation from the cell wall of Saccharomycescerevisiae has been well studied. However, investigations into the efficiency of extraction methods from non-Saccharomyces yeasts are necessary to explore the heterogeneity in structure and composition that varies between yeast species, which may influence wine properties such as clarity and mouthfeel. In this study, nine yeast strains were screened for cell wall mannoprotein content using fluorescence microscopy techniques. Four species were subsequently exposed to a combination of mechanical and enzymatic extraction methods to optimize mannoprotein yield. Yeast cells subjected to 4 min of ultrasound treatment applied at 80% of the maximum possible amplitude with a 50% duty cycle, followed by an enzymatic treatment of 4000 U lyticase per g dry cells weight, showed the highest mannoprotein-rich yield from all species. Furthermore, preliminary evaluation of the obtained extracts revealed differences in carbohydrate/protein ratios between species and with increased enzyme incubation time. The results obtained in this study form an important step towards further characterization of extraction treatment impact and yeast species effect on the isolated mannoproteins, and their subsequent influence on wine properties.
Identification and Validation of Genetic Variations in Transgenic Chinese Cabbage Plants (Brassica rapa ssp. pekinensis) by Next-Generation Sequencing
Authors: Kim So-Jeong , Park Jee-Soo , Shin Yun-Hee , Park Young-Doo
Published: April 2021

Transgenic plants are usually produced through tissue culture, which is an essential step in Agrobacterium-mediated plant transformation. However, genomic variations, termed somaclonal variations, have been detected in transgenic plants cultured in vitro. The occurrence of these variations should be as low as possible to secure the stability of transgenic crops. Determining the cause and mechanism of somaclonal variations in tissue culture-derived plants will help reduce the rate of variation and promote the stable expression of genes in transgenic plants. In order to determine the genetic variability in transgenic Chinese cabbage plants, we performed whole-genome resequencing and compared the sequencing data with the ‘CT001’ reference genome. The variation candidates that were expected to consistently occur in the transgenic lines were selected and validated. The single nucleotide polymorphism (SNP) and insertion and deletion (InDel) candidates were identified using the resequencing data and validated by reverse transcription (RT)-PCR analysis. The deduced amino acid sequences were used to determine whether the variations caused changes in the resulting polypeptide, and the annotations of the mutated genes were analyzed to predict the possible effects of the SNPs on gene function. In conclusion, we selected and validated the genetic variations identified in transgenic Chinese cabbage plants. Their genomes were expected to be affected by the process of Agrobacterium-mediated transformation. The findings of our study will provide a genetic basis for transgenic plant research.
Thymoquinone Is a Multitarget Single Epidrug That Inhibits the UHRF1 Protein Complex
Authors: Abdullah Omeima , Omran Ziad , Hosawi Salman , Hamiche Ali , Bronner Christian , Alhosin Mahmoud
Published: April 2021

Silencing of tumor suppressor genes (TSGs) through epigenetic mechanisms, mainly via abnormal promoter DNA methylation, is considered a main mechanism of tumorigenesis. The abnormal DNA methylation profiles are transmitted from the cancer mother cell to the daughter cells through the involvement of a macromolecular complex in which the ubiquitin-like containing plant homeodomain (PHD), and an interesting new gene (RING) finger domains 1 (UHRF1), play the role of conductor. Indeed, UHRF1 interacts with epigenetic writers, such as DNA methyltransferase 1 (DNMT1), histone methyltransferase G9a, erasers like histone deacetylase 1 (HDAC1), and functions as a hub protein. Thus, targeting UHRF1 and/or its partners is a promising strategy for epigenetic cancer therapy. The natural compound thymoquinone (TQ) exhibits anticancer activities by targeting several cellular signaling pathways, including those involving UHRF1. In this review, we highlight TQ as a potential multitarget single epidrug that functions by targeting the UHRF1/DNMT1/HDAC1/G9a complex. We also speculate on the possibility that TQ might specifically target UHRF1, with subsequent regulatory effects on other partners.
Antimicrobial Susceptibility Pattern of Salmonella spp. Isolated from Enteric Fever Patients in Nepal
Authors: Maharjan Anu , Dhungel Binod , Bastola Anup , Thapa Shrestha Upendra , Adhikari Nabaraj , Banjara Megha Raj , Lekhak Binod , Ghimire Prakash , Rijal Komal Raj
Published: April 2021

Introduction: Enteric fever, a systemic infection caused by Salmonella enterica Typhi and S. enterica Paratyphi is one of the most common infections in developing countries such as Nepal. Aside from irrational practices of antibiotic use, mutations in chromosomal genes encoding DNA gyrase and Topoisomerase IV and by plasmid mediated quinolone resistant (PMQR) genes are suggested mechanisms for the development of resistance to nalidixic acid and reduced susceptibility to ciprofloxacin. Regardless of high endemicity of enteric fever in Nepal, there is paucity of studies on prevalence and drug-resistance of the pathogen. Therefore, this study aimed to assess the antibiotic susceptibility pattern of Salmonella isolates and determine the minimum inhibitory concentration of ciprofloxacin. Methods: A total of 1298 blood samples were obtained from patients with suspected enteric fever, attending Sukraraj Tropical and Infectious Disease Hospital (STIDH) during March–August, 2019. Blood samples were inoculated immediately into BACTEC culture bottles and further processed for isolation and identification of Salmonella Typhi and S. Paratyphi. Axenic cultures of the isolates were further subjected to antimicrobial susceptibility testing (AST) by using the modified Kirby–Bauer disc diffusion method based on the guidelines by CLSI. The minimum inhibitory concentration (MIC) of ciprofloxacin was determined by agar-dilution method. Results: Out of 1298 blood cultures, 40 (3.1%) were positive for Salmonella spp. among which 29 (72.5%) isolates were S. Typhi and 11 (27.5%) isolates were S. Paratyphi A. In AST, 12.5% (5/40), 15% (6/40) and 20% (8/40) of the Salmonella isolates were susceptible to nalidixic acid, ofloxacin and levofloxacin, respectively, whereas none of the isolates were susceptible to ciprofloxacin. The MIC value for ciprofloxacin ranged from 0.06-16 µg/mL in which, respectively, 5% (2/40) and 52.5% (21/40) of the isolates were susceptible and resistant to ciprofloxacin. None of the isolates showed multidrug-resistance (MDR) in this study. Conclusion: This study showed high prevalence of quinolone-resistant Salmonella spp., while there was marked re-emergence of susceptibilities to traditional first option drugs. Hence, conventional first-line-drugs and third-generation cephalosporins may find potential usage as the empirical drugs for enteric fever. Although our reporting was free of MDR strains, extensive surveillance, augmentation of diagnostic facilities and treatment protocol aided by AST report are recommended for addressing the escalating drug-resistance in the country.
Distribution of Dermacentor silvarum and Associated Pathogens: Meta-Analysis of Global Published Data and a Field Survey in China
Authors: Guo Wen-Bin , Shi Wen-Qiang , Wang Qian , Pan Yu-Sheng , Chang Qiao-Cheng , Jiang Bao-Gui , Cheng Jing-Xia , Cui Xiao-Ming , Zhou Yu-Hao , Wei Jia-Te , Sun Yi , Jiang Jia-Fu , Jia Na , Cao Wu-Chun
Published: April 2021

Dermacentor silvarum is an obligate blood sucking arthropod and transmits various pathogens to humans and domestic animals. Recently several new viruses were detected in D. silvarum as an emerging disease threat. In this study, we aimed to analyze its geographical distribution and associated pathogens. Data were collected from multiple sources, including a field survey, reference book, and literature review. We searched various electronic databases with the terms “Dermacentor silvarum” OR “D. silvarum” for studies published since 1963 and the positive rates for Dermacentor silvarum-associated pathogens were estimated by meta-analysis. D. silvarum was found only in four countries in Eurasia, ranging from 22° N to 57° N latitude. At least 20 human pathogens were associated with D. silvarum, including five species of spotted fever group rickettsiae, three species in the family of Anaplasmataceae, three genospecies in the complex Borrelia burgdorferi sensu lato, Francisella tularensis, Babesia venatorum, Coxiella buenetii, Borrelia miyamotoi, and five species of virus. Among them, Rickettsia raoultii was widely detected in D. silvarum, showing the highest pooled positive rate (25.15%; 95% CI 13.31–39.27). Our work presents the most comprehensive data and analysis (to our knowledge) for the geographical distribution of D. silvarum and associated pathogens, revealing an emerging threat to public health and stocking farming. Continued surveillance and further investigations should be enhanced.
Spread of Epidemic Disease on Edge-Weighted Graphs from a Database: A Case Study of COVID-19
Authors: Manríquez Ronald , Guerrero-Nancuante Camilo , Martínez Felipe , Taramasco Carla
Published: April 2021

The understanding of infectious diseases is a priority in the field of public health. This has generated the inclusion of several disciplines and tools that allow for analyzing the dissemination of infectious diseases. The aim of this manuscript is to model the spreading of a disease in a population that is registered in a database. From this database, we obtain an edge-weighted graph. The spreading was modeled with the classic SIR model. The model proposed with edge-weighted graph allows for identifying the most important variables in the dissemination of epidemics. Moreover, a deterministic approximation is provided. With database COVID-19 from a city in Chile, we analyzed our model with relationship variables between people. We obtained a graph with 3866 vertices and 6,841,470 edges. We fitted the curve of the real data and we have done some simulations on the obtained graph. Our model is adjusted to the spread of the disease. The model proposed with edge-weighted graph allows for identifying the most important variables in the dissemination of epidemics, in this case with real data of COVID-19. This valuable information allows us to also include/understand the networks of dissemination of epidemics diseases as well as the implementation of preventive measures of public health. These findings are important in COVID-19’s pandemic context.
Back School Postural Education Program: Comparison of Two Types of Interventions in Improving Ergonomic Knowledge about Postures and Reducing Low Back Pain in Adolescents
Authors: Minghelli Beatriz , Nunes Carla , Oliveira Raul
Published: April 2021

This study aimed to compare the impact of two Back School Postural Education Programs on improving ergonomic knowledge of postures adopted at school and home, as well as on reducing low back pain (LPB) in adolescents. The sample was constituted by 153 students, aged 10–16 years, with 96 (62.7%) girls, divided into 2 intervention groups (GA, GB). Two tests (theoretical and practical) and LBP questionnaire were applied 1 week before and 1 year after the end of the program. In GA, three sessions were performed for each class separately, on theoretical and practical issues, lasting 45 min and at intervals of 1 week, and in GB, only one theoretical session (90 min) was given to all students. Statistically differences on GA were obtained between the values 1 week before and after 1 year of evaluation in both theoretical and practical tests (p ≤ 0.001). In GB, only the values of the practical test present a statistical difference (p ≤ 0.001). GA obtained higher values on both tests after 1 year of follow-up compared with GB (p ≤ 0.001). The number of students with LBP decreased on GA (p ≤ 0.001). The program with longer duration, higher weekly frequency, and more practical and individualized character promotes better effects.
Redesigning a Healthcare Demand Questionnaire for National Population Survey: Experience of a Developing Country
Authors: Chong Diane Woei Quan , Jawahir Suhana , Tan Ee Hong , Sararaks Sondi
Published: April 2021

Since its inception in 1986, the contents of the National Health and Morbidity Survey (NHMS) have been periodically updated to support emerging health data needs for evidence-based policy and program development. In 2018, the healthcare demand questionnaire was redesigned to capture diverse and changing population demand for healthcare services and their utilization pattern. This paper describes the methods and processes undertaken in redesigning the questionnaire. We aim to highlight the systematic and inclusive approach, enabling all potential evidence users to be involved, indirectly encouraging research evidence uptake for policy and program planning. We applied a systematic approach of comprehensive literature search for national-level population survey instruments implemented globally and translated non-English tools to English. The development phases were iterative, conducted in parallel with active stakeholder engagements. Here, we detailed the processes in the planning and exploratory phase as well as a qualitative assessment of the questionnaire. We included instruments from 45 countries. The majority were from the Organisation for Economic Co-operation and Development (OECD) countries and focused on perceived health, health-related behavior, and healthcare use. Thirty-four stakeholders from 14 areas of expertise were involved. Stakeholders identified additional content areas required, such as chronic pain, alternative use of healthcare services (community pharmacy, home-visit, and private medical laboratory), family doctor, and informal caregiving. The questionnaire, redesigned based on existing literature with concordant involvement and iterative feedback from stakeholders, improved the choice of health topics through the identification of new topics and modification of existing questions to better meet future evidence needs on health problems, strategy, and program planning towards strengthening the nation’s health systems.
Systematic Review Protocol for the Current State of Chemical Exposure in Infants via Breast Milk, Artificial Milk and Dairy Products
Authors: Mahmoud Manal A. M. , Abdel-Mohsein Hosnia , Mahmoud Usama , Lyu Zhaoqing , Soleman Sani Rachman , Li Meng , Fujitani Tomoko , Harada Sassa Mariko , Fujii Yukiko , Cao Yang , Hitomi Toshiaki , Harada Kouji H.
Published: April 2021

Many studies have shown that human breast milk is contaminated with various chemicals. In the proposed systematic review, the aim is to identify and summarize the available literature regarding chemical exposure via breastfeeding or the feeding of artificial formula. MEDLINE (PubMed) will be the primary source in this literature search. Primary studies that analyzed one or more chemicals of interest in breast milk or artificial milk and that reported information on concentrations will be eligible for this review. Conference abstracts will not be included in the review unless access to the data is easy. First, the titles and abstracts of identified articles will be screened by two or more researchers. Then, a full-text review will be conducted to extract data from the included articles and code them for classification. The results of the search and classification will be summarized narratively and bibliometrically. The aim of the review is to analyze trends in publications according to year and region from the viewpoint of target chemicals, location, range of concentrations, and health outcomes.
Impact of Endocrine-Disrupting Chemicals in Breast Milk on Postpartum Depression in Korean Mothers
Authors: Kim Ju-Hee , Shin Hye-Sook , Lee Woo-Hyoung
Published: April 2021

Previous human and animal studies have reported an association between endocrine-disrupting chemicals (EDCs) and anxiety/depression. This study aimed to determine how the concentrations of phthalate metabolites, bisphenol A, triclosan, and parabens in breast milk are associated with the risk of developing postpartum depression (PPD) in Korean mothers. We recruited 221 mothers who were receiving lactation coaching at breastfeeding clinics between July and September 2018. The breast milk samples were collected along with responses to the Edinburgh Postnatal Depression Scale. The multivariable logistic regression results revealed that the phthalate, bisphenol A, parabens, and triclosan levels in the breast milk were not significantly associated with the risk of PPD. This study was the first attempt to analyze the association between the levels of EDCs in breast milk and the risk of PPD. Considering that PPD is a condition that affects not only the women diagnosed with it, but also their children and families, the results of this study may have great relevance to populations in environmentally sensitive periods.
Nonattendance at Scheduled Appointments in Outpatient Clinics Due to COVID-19 and Related Factors in Taiwan: A Health Belief Model Approach
Authors: Hsieh Yi-Ping , Yen Cheng-Fang , Wu Chia-Fen , Wang Peng-Wei
Published: April 2021

During the COVID-19 pandemic, the number of hospital visits and attendance at scheduled appointments have dropped significantly. We used the health belief model (in three dimensions) to examine the determinants of non-attendance of scheduled appointments in outpatient clinics due to the COVID-19 pandemic. Participants in Taiwan (n = 1954) completed an online survey from 10 April 10 to 23 April 2020, which assessed how people perceived and responded to the outbreak of a fast-spreading infectious disease. We performed both univariate and multivariate logistic regression to examine the roles of cognitive, affective, and behavioral health belief constructs in nonattendance at scheduled appointments. The results indicated that individuals who perceived high confidence in coping with COVID-19 were less likely to miss or cancel their doctor’s appointments, whereas individuals who reported high anxiety and practiced more preventive health behaviors, including avoiding crowded places, washing hands more often, and wearing a mask more often, were more likely to miss or cancel their appointments due to the COVID-19 pandemic. Non-heterosexual participants had a lower rate of nonattendance at scheduled appointments compared with heterosexual ones. The study results increase our understanding of the patients’ cognitive health beliefs, psychological distress, and health behaviors when assessing adherence to medical appointments during a pandemic.
The Role of Healthcare Professionals’ Passion in Predicting Secondary Traumatic Stress and Posttraumatic Growth in the Face of COVID-19: A Longitudinal Approach
Authors: Moreno-Jiménez Jennifer E. , Blanco-Donoso Luis Manuel , Demerouti Evangelia , Belda Hofheinz Sylvia , Chico-Fernández Mario , Moreno-Jiménez Bernardo , Garrosa Eva
Published: April 2021

COVID-19 has increased the likelihood of healthcare professionals suffering from Secondary Traumatic Stress (STS). However, the difficulty of this crisis may lead these professionals to display personal resources, such as harmonious passion, that could be involved in posttraumatic growth. The goal of this study is to examine the STS and posttraumatic growth among healthcare professionals and the demands and resources related to COVID-19. A longitudinal study was carried out in April 2020 (T1) and December 2020 (T2). The participants were 172 health professionals from different health institutions and they reported their workload, fear of contagion, lack of staff and personal protection equipment (PPE), harmonious passion, STS and posttraumatic growth. The results revealed that workload and fear of contagion in T2 were positive predictors for STS, whereas harmonious passion was a negative predictor. Fear of contagion of both times seemed to positively predict posttraumatic growth, as well as harmonious passion. One moderation effect was found concerning the lack of staff/PPE, as posttraumatic growth was higher when the workload was high, especially in those with a high lack of staff/PPE. All in all, these findings pointed out the need for preventative measures to protect these professionals from long-term negative consequences.
Assessment Tools of Patient Competences: The Spanish Version of the R-NPQ and Three Practical Cases in Women with Breast Cancer and Persistent Pain
Authors: Torres-Lacomba María , Navarro-Brazález Beatriz , Bailón-Cerezo Javier , Vergara-Pérez Fernando , de la Rosa-Díaz Irene , Prieto-Gómez Virginia
Published: April 2021

Persistent pain following treatment for breast cancer (PPBCT) is a prevalent and complex clinical issue. Education together with physiotherapy have been shown to lessen pain and disability in chronic pain. Although the evaluation of the patient’s competences is a major part of the educational program, the published educational programs rarely describe the tools used to assess competences, especially regarding those related to decision-making and problem-solving. The aim of this study was to provide two competences assessment tools: the cross-cultural adaptation and validation of the Spanish version of the Revised Neurophysiology of Pain Questionnaire (R-NPQ) and practical cases of women with PPBCT. The Spanish cross-cultural adaptation was conducted following recognized criteria. Measurement properties testing included an analysis of construct validity (known-groups approach), reliability (internal consistency and test-retest reliability), responsiveness, interpretability, and feasibility. To promote a tool that would allow evaluation of the educational program competences, a group of experts developed three cases extracted from real contexts by means of an iterative process. A total of 80 women with PPBCT (mean age 56 years) and 81 physiotherapy students (mean age 20 years) participated in the measurement properties analysis. The three developed cases were presented to the same 80 women with PPBCT before and after the educational program. As we expected, students showed a significantly higher score (p < 0.001) than did women with PPBCT in the R-NPQ questionnaire, with a large effect size (d = 2.49), demonstrating good construct validity. The Cronbach alpha was 0.90 (95% CI, 0.87–0.92) and the intraclass correlation coefficient was 0.82 (95% CI, 0.73–0.88). A large effect size (5.2) was found, as we expected, between baseline and post-treatment scores, suggesting adequate responsiveness. In addition, identifying and analyzing, decision making, communicating needs, knowing how to manage, and problem-solving skills were evaluated through the three practical cases. Most women (88.75%) reached the highest level in the assessment rubric of the proposed practical cases. The Spanish R-NPQ is a comprehensible, valid, reliable, and responsive tool for Spanish women with PPBCT. The practical cases are a useful competence assessment tool and were well accepted by women with PPBCT. Further studies are needed to investigate more competence assessment tools and to investigate whether the achievement of different levels of competences has an effect on health behaviors.
Understanding the Relationship between Dominant Geo-Environmental Factors and Rural Poverty in Guizhou, China
Authors: Ge Yong , Ren Zhoupeng , Fu Yangyang
Published: April 2021

Geo-environmental factors are believed to be major determinants of rural poverty. However, few studies have quantified the effects of these factors on rural poverty in China. In this paper, we used county-level poverty incidence data and geo-environmental factors to explore spatial patterns of the incidence of poverty using global and local spatial autocorrelation analysis and to investigate the effect of geo-environment factors on rural poverty using a geo-detector model. Our results demonstrated that there was spatial clustering of the incidence of poverty in the study area. The incidence of poverty decreased from south to north and from the east and west to the central area. The incidence of high–high poverty areas was mainly distributed in the southeast of Guizhou Province and the incidence of low–low poverty areas was distributed in the northeast. The results also demonstrated that percentage of effective irrigation on arable land, slope, elevation and vegetation cover were the dominant factors explaining the spatial pattern of poverty. Interaction analysis demonstrated that the slope non-linearly enhanced the percentage of effective irrigation on arable land. Our findings suggested that geo-environment is the fundamental control factor explaining the spatial pattern of rural poverty in China. Through analysis of the impact of the geo-environment on the spatial pattern of poverty, this study provides a reference for effectively implementing targeted alleviation of poverty.
4-Methyl-2,4-bis(4-hydroxyphenyl)pent-1-ene, a Major Active Metabolite of Bisphenol A, Triggers Pancreatic β-Cell Death via a JNK/AMPKα Activation-Regulated Endoplasmic Reticulum Stress-Mediated Apoptotic Pathway
Authors: Huang Cheng-Chin , Yang Ching-Yao , Su Chin-Chuan , Fang Kai-Min , Yen Cheng-Chieh , Lin Ching-Ting , Liu Jui-Min , Lee Kuan-I , Chen Ya-Wen , Liu Shing-Hwa , Huang Chun-Fa
Published: April 2021

4-methyl-2,4-bis(4-hydroxyphenyl)pent-1-ene (MBP), a major active metabolite of bisphenol A (BPA), is generated in the mammalian liver. Some studies have suggested that MBP exerts greater toxicity than BPA. However, the mechanism underlying MBP-induced pancreatic β-cell cytotoxicity remains largely unclear. This study demonstrated the cytotoxicity of MBP in pancreatic β-cells and elucidated the cellular mechanism involved in MBP-induced β-cell death. Our results showed that MBP exposure significantly reduced cell viability, caused insulin secretion dysfunction, and induced apoptotic events including increased caspase-3 activity and the expression of active forms of caspase-3/-7/-9 and PARP protein. In addition, MBP triggered endoplasmic reticulum (ER) stress, as indicated by the upregulation of GRP 78, CHOP, and cleaved caspase-12 proteins. Pretreatment with 4-phenylbutyric acid (4-PBA; a pharmacological inhibitor of ER stress) markedly reversed MBP-induced ER stress and apoptosis-related signals. Furthermore, exposure to MBP significantly induced the protein phosphorylation of JNK and AMP-activated protein kinase (AMPK)α. Pretreatment of β-cells with pharmacological inhibitors for JNK (SP600125) and AMPK (compound C), respectively, effectively abrogated the MBP-induced apoptosis-related signals. Both JNK and AMPK inhibitors also suppressed the MBP-induced activation of JNK and AMPKα and of each other. In conclusion, these findings suggest that MBP exposure exerts cytotoxicity on β-cells via the interdependent activation of JNK and AMPKα, which regulates the downstream apoptotic signaling pathway.
Unlocking the Health Potential of Microalgae as Sustainable Sources of Bioactive Compounds
Authors: Saide Assunta , Martínez Kevin A. , Ianora Adrianna , Lauritano Chiara
Published: April 2021

Microalgae are known to produce a plethora of compounds derived from the primary and secondary metabolism. Different studies have shown that these compounds may have allelopathic, antimicrobial, and antipredator activities. In addition, in vitro and in vivo screenings have shown that several compounds have interesting bioactivities (such as antioxidant, anti-inflammatory, anticancer, and antimicrobial) for the possible prevention and treatment of human pathologies. Additionally, the enzymatic pathways responsible for the synthesis of these compounds, and the targets and mechanisms of their action have also been investigated for a few species. However, further research is necessary for their full exploitation and possible pharmaceutical and other industrial applications. Here, we review the current knowledge on the chemical characteristics, biological activities, mechanism of action, and the enzymes involved in the synthesis of microalgal metabolites with potential benefits for human health.
Characterization of the Survival Influential Genes in Carcinogenesis
Authors: Sahu Divya , Chang Yu-Lin , Lin Yin-Chen , Lin Chen-Ching
Published: April 2021

The genes influencing cancer patient mortality have been studied by survival analysis for many years. However, most studies utilized them only to support their findings associated with patient prognosis: their roles in carcinogenesis have not yet been revealed. Herein, we applied an in silico approach, integrating the Cox regression model with effect size estimated by the Monte Carlo algorithm, to screen survival-influential genes in more than 6000 tumor samples across 16 cancer types. We observed that the survival-influential genes had cancer-dependent properties. Moreover, the functional modules formed by the harmful genes were consistently associated with cell cycle in 12 out of the 16 cancer types and pan-cancer, showing that dysregulation of the cell cycle could harm patient prognosis in cancer. The functional modules formed by the protective genes are more diverse in cancers; the most prevalent functions are relevant for immune response, implying that patients with different cancer types might develop different mechanisms against carcinogenesis. We also identified a harmful set of 10 genes, with potential as prognostic biomarkers in pan-cancer. Briefly, our results demonstrated that the survival-influential genes could reveal underlying mechanisms in carcinogenesis and might provide clues for developing therapeutic targets for cancers.
Inhibition of the Histone Methyltransferase EZH2 Enhances Protumor Monocyte Recruitment in Human Mesothelioma Spheroids
Authors: Mola Silvia , Pinton Giulia , Erreni Marco , Corazzari Marco , De Andrea Marco , Grolla Ambra A. , Martini Veronica , Moro Laura , Porta Chiara
Published: April 2021

Malignant pleural mesothelioma (MPM) is a highly aggressive cancer with a long latency period and dismal prognosis. Recently, tazemetostat (EPZ-6438), an inhibitor of the histone methyltransferase EZH2, has entered clinical trials due to the antiproliferative effects reported on MPM cells. However, the direct and indirect effects of epigenetic reprogramming on the tumor microenvironment are hitherto unexplored. To investigate the impact of tumor-associated macrophages (TAMs) on MPM cell responsiveness to tazemetostat, we developed a three-dimensional MPM spheroid model that recapitulates in vitro, both monocytes’ recruitment in tumors and their functional differentiation toward a TAM-like phenotype (Mo-TAMs). Along with an increased expression of genes for monocyte chemoattractants, inhibitory immune checkpoints, immunosuppressive and M2-like molecules, Mo-TAMs promote tumor cell proliferation and spreading. Prolonged treatment of MPM spheroids with tazemetostat enhances both the recruitment of Mo-TAMs and the expression of their protumor phenotype. Therefore, Mo-TAMs profoundly suppress the antiproliferative effects due to EZH2 inhibition in MPM cells. Overall, our findings indicate that TAMs are a driving force for MPM growth, progression, and resistance to tazemetostat; therefore, strategies of TAM depletion might be evaluated to improve the therapeutic efficacy of pharmacological inhibition of EZH2.
Peptides to Tackle Leishmaniasis: Current Status and Future Directions
Authors: Robles-Loaiza Alberto A. , Pinos-Tamayo Edgar A. , Mendes Bruno , Teixeira Cátia , Alves Cláudia , Gomes Paula , Almeida José R.
Published: April 2021

Peptide-based drugs are an attractive class of therapeutic agents, recently recognized by the pharmaceutical industry. These molecules are currently being used in the development of innovative therapies for diverse health conditions, including tropical diseases such as leishmaniasis. Despite its socioeconomic influence on public health, leishmaniasis remains long-neglected and categorized as a poverty-related disease, with limited treatment options. Peptides with antileishmanial effects encountered to date are a structurally heterogeneous group, which can be found in different natural sources—amphibians, reptiles, insects, bacteria, marine organisms, mammals, plants, and others—or inspired by natural toxins or proteins. This review details the biochemical and structural characteristics of over one hundred peptides and their potential use as molecular frameworks for the design of antileishmanial drug leads. Additionally, we detail the main chemical modifications or substitutions of amino acid residues carried out in the peptide sequence, and their implications in the development of antileishmanial candidates for clinical trials. Our bibliographic research highlights that the action of leishmanicidal peptides has been evaluated mainly using in vitro assays, with a special emphasis on the promastigote stage. In light of these findings, and considering the advances in the successful application of peptides in leishmaniasis chemotherapy, possible approaches and future directions are discussed here.
Senescent Microglia: The Key to the Ageing Brain?
Authors: Greenwood Eleanor K. , Brown David R.
Published: April 2021

Ageing represents the single biggest risk factor for development of neurodegenerative disease. Despite being such long-lived cells, microglia have been relatively understudied for their role in the ageing process. Reliably identifying aged microglia has proven challenging, not least due to the diversity of cell populations, and the limitations of available models, further complicated by differences between human and rodent cells. Consequently, the literature contains multiple descriptions and categorisations of microglia with neurotoxic phenotypes, including senescence, without any unifying markers. The role of microglia in brain homeostasis, particularly iron storage and metabolism, may provide a key to reliable identification.
Digital Evidence and Cloud Forensics: Contemporary Legal Challenges and the Power of Disposal
Authors: Karagiannis Christos , Vergidis Kostas
Published: April 2021

Fighting crime in cyberspace requires law enforcement authorities to immerse in a digital ocean of vast amount of information and also to acquire and objectify the evidence of criminal activity. Handling digital evidence is a complex and multifaceted process as they can provide critical evidentiary information in an unquestionable and irrefutable way. When digital evidence resides in a cloud storage environment the criminal investigation is faced with unprecedented contemporary legal challenges. In this paper, the authors identify three main legal challenges that arise from the current cloud-based technological landscape, i.e., territoriality (the loss of location), possession (the cloud content ownership) and confiscation procedure (user authentication/data preservation issues). On the onset of the identified challenges, the existing American, European and International legal frameworks are thoroughly evaluated. Finally, the authors discuss and endorse the Power of Disposal, a newly formed legal notion and a multidisciplinary solution with a global effect as a result of collaboration between technical, organizational and legal perspectives as an effective first step to mitigate the identified legal challenges.