bluuebunny/crossref_metadata_2025 huggingface dataset:
Recent Advances of Biochar-Based Electrochemical Sensors and Biosensors
Authors: Li Yunxiao , Xu Rui , Wang Huabin , Xu Wumei , Tian Liyan , Huang Jingxin , Liang Chengyue , Zhang Yong
Published: May 2022

In the context of accelerating the global realization of carbon peaking and carbon neutralization, biochar produced from biomass feedstock via a pyrolysis process has been more and more focused on by people from various fields. Biochar is a carbon-rich material with good properties that could be used as a carrier, a catalyst, and an absorbent. Such properties have made biochar a good candidate as a base material in the fabrication of electrochemical sensors or biosensors, like carbon nanotube and graphene. However, the study of the applications of biochar in electrochemical sensing technology is just beginning; there are still many challenges to be conquered. In order to better carry out this research, we reviewed almost all of the recent papers published in the past 5 years on biochar-based electrochemical sensors and biosensors. This review is different from the previously published review papers, in which the types of biomass feedstock, the preparation methods, and the characteristics of biochar were mainly discussed. First, the role of biochar in the fabrication of electrochemical sensors and biosensors is summarized. Then, the analytes determined by means of biochar-based electrochemical sensors and biosensors are discussed. Finally, the perspectives and challenges in applying biochar in electrochemical sensors and biosensors are provided.
Influence of an Esports Program on Problematic Gaming in Children with Autistic Spectrum Disorder: A Pilot Study
Authors: Kawabe Kentaro , Horiuchi Fumie , Hosokawa Rie , Nakachi Kiwamu , Soga Junya , Ueno Shu-ichi
Published: May 2022

Esports (electronic sports) programs are a variant of competitive gaming and have expanded worldwide in recent years. The prevalence of problematic gaming and gaming disorders (GD) is predicted to increase in adolescents. Children with autism spectrum disorder (ASD) have a high rate of digital gaming use, and their characteristics, such as social communication deficits and restricted interests, might contribute to problematic gaming. In this study, we aimed to examine whether participation in an Esports program would lead to problematic gaming or GD in children with ASD. The Internet Gaming Disorder Test (IGD-20) scores, Kid-KINDL scores, and gaming time at home were assessed in eight children with ASD before beginning the Esports program and at the three-month follow-up timepoint. The program was held once a week at the welfare service center, where the participants played a set game for 60 min. The results indicated there was no significant worsening in any of the scores after the program. Our program provided the participation time and frequency of Esports, type of game, and motivation of the participants are adequately considered. Even though this pilot study is limited by the small sample size, we concluded that the risk of these activities leading to problematic gaming might be low.
Utilization of Bio-Mineral Carbonation for Enhancing CO2 Sequestration and Mechanical Properties in Cementitious Materials
Authors: Kim Hayeon , Son Hyeongmin
Published: May 2022

Microorganisms can perform mineral carbonation in various metabolic pathways, and this process can be utilized in the field of construction materials. The present study investigated the role of bio-mediated mineral carbonation in carbon sequestration performance and mechanical properties of cementitious materials. Bacterial-mediated ureolysis and CO2 hydration metabolism were selected as the main mechanisms for the mineral carbonation, and a microorganism, generating both urease and carbonic anhydrase, was incorporated into cementitious materials in the form of a bacterial culture solution. Four paste specimens were cured in water or carbonation conditions for 28 days, and a compressive strength test and a mercury intrusion porosimetry analysis were performed to investigate the changes in mechanical properties and microstructures. The obtained results showed that the pore size of the specimens incorporating bacteria was reduced by the precipitation of CaCO3 through the mineral carbonation process, thereby improving the mechanical properties of the paste specimens, regardless of the curing conditions. In addition, in the case of the paste specimens cured in carbonation conditions, more amorphous CaCO3 was observed and a larger amount of CaCO3 in the specimens incorporating the bacteria was measured than in the specimens without bacteria. This is attributed to promotion of the inflow and diffusion of CO2 via mineral carbonation through bacterial CO2 hydration metabolism.
Earth to Earth: Patterns of Environmental Decay Affecting Modern Pisé Walls
Authors: Spennemann Dirk H. R.
Published: May 2022

Rammed earth/pisé is an earth building technique with a deep history in several countries across the globe. In the past twenty years, pisé buildings have seen a resurgence in popularity, primarily because of their environmentally friendly, passive energy characteristics, but also due to the aesthetic appeal of the fabric. As with all other earth architecture, pisé is susceptible to decay by moisture ingress. This paper presents longitudinal observations on the decay of capped and uncapped pisé walls of an early twenty-first-century complex of four buildings in Albury (NSW, Australia). It can be shown that while surface treatment with water-repellent sealants prevents the ingress of penetrating damp, it also traps moisture (falling damp) in the fabric by restricting evaporation. This leads to internal cleavage between the consolidated and the unconsolidated fabric and accelerates the decay of uncapped walls. The future design of both stabilized and unstabilized external rammed earth walls must ensure effective protection from rainfall through well-proportioned overhanging eaves. While the capping of feature walls may be aesthetically pleasing, and thus architecturally desirable, it does not adequately protect the walling against long-term decay.
Cellular Damage in the Target and Out-Of-Field Peripheral Organs during VMAT SBRT Prostate Radiotherapy: An In Vitro Phantom-Based Study
Authors: Piotrowski Igor , Kulcenty Katarzyna , Suchorska Wiktoria , Rucinski Marcin , Jopek Karol , Kruszyna-Mochalska Marta , Skrobala Agnieszka , Romanski Piotr , Ryczkowski Adam , Borowicz Dorota , Matuszak Natalia , Malicki Julian
Published: May 2022

Hypo-fractionated stereotactic body radiation therapy (SBRT) is an effective treatment for prostate cancer (PCa). Although many studies have investigated the effects of SBRT on the prostate and adjacent organs, little is known about the effects further out-of-field. The aim of this study was to investigate, both in vitro and in a quasi-humanoid phantom, the biological effects (using a dose-scaling approach) of radiation in the out-of-field peripheral organs delivered by 6 MV volumetric modulated arc therapy (VMAT) SBRT in a prostate cancer model. Healthy prostate cells were irradiated in a phantom at locations corresponding to the prostate, intestine, lung, thyroid, and brain. Seven 10 Gy fractions of VMAT SBRT were delivered to the target in a single session without intermission (scaled-up method). Radiochromic films were used to measure the doses. The radiobiological response was assessed by measuring DNA breaks, the cell survival fraction, and differences in gene expression profile. Our results showed a strong, multiparametric radiobiological response of the cells in the prostate. Outside of the radiation field, the highest doses were observed in the intestine and lung. A small increase (not statistically significant) in DNA damage and cell death was observed in the intestines. Several gene groups (cell cycle, DNA replication) were depleted in the lung and thyroid (DNA replication, endocytosis), but further analysis revealed no changes in the relevant biological processes. This study provides extensive evidence of the types and extent of radiobiological responses during VMAT SBRT in a prostate cancer model. Additional research is needed to determine whether the radiobiological effects observed in the peripheral organs are validated in a clinical context.
Differential Effects of Dietary Macronutrients on the Development of Oncogenic KRAS-Mediated Pancreatic Ductal Adenocarcinoma
Authors: Zhu Liang , Ji Juntao , Ma Jianjia , Wang Dan , Liu Muyun , Du James , Chen Rong , Hou Wei , Abbruzzese James , Logsdon Craig , Yang Vincent , Luo Yongde , Lu Weiqin
Published: May 2022

KRAS mutations are prevalent in patients with pancreatic ductal adenocarcinoma (PDAC) and are critical to fostering tumor growth in part by aberrantly rewiring glucose, amino acid, and lipid metabolism. Obesity is a modifiable risk factor for pancreatic cancer. Corroborating this epidemiological observation, mice harboring mutant KRAS are highly vulnerable to obesogenic high-fat diet (HFD) challenges leading to the development of PDAC with high penetrance. However, the contributions of other macronutrient diets, such as diets rich in carbohydrates that are regarded as a more direct source to fuel glycolysis for cancer cell survival and proliferation than HFD, to pancreatic tumorigenesis remain unclear. In this study, we compared the differential effects of a high-carbohydrate diet (HCD), an HFD, and a high-protein diet (HPD) in PDAC development using a mouse model expressing an endogenous level of mutant KRASG12D specifically in pancreatic acinar cells. Our study showed that although with a lower tumorigenic capacity than chronic HFD, chronic HCD promoted acinar-to-ductal metaplasia (ADM) and pancreatic intraepithelial neoplasia (PanIN) lesions with increased inflammation, fibrosis, and cell proliferation compared to the normal diet (ND) in KrasG12D/+ mice. By contrast, chronic HPD showed no significant adverse effects compared to the ND. Furthermore, ablation of pancreatic acinar cell cyclooxygenase 2 (Cox-2) in KrasG12D/+ mice abrogated the adverse effects induced by HCD, suggesting that diet-induced pancreatic inflammation is critical for promoting oncogenic KRAS-mediated neoplasia. These results indicate that diets rich in different macronutrients have differential effects on pancreatic tumorigenesis in which the ensuing inflammation exacerbates the process. Management of macronutrient intake aimed at thwarting inflammation is thus an important preventive strategy for patients harboring oncogenic KRAS.
Comparative Pathobiology of Canine and Human Prostate Cancer: State of the Art and Future Directions
Authors: Nascente Eduardo de Paula , Amorim Renée Laufer , Fonseca-Alves Carlos Eduardo , de Moura Veridiana Maria Brianezi Dignani
Published: May 2022

First described in 1817, prostate cancer is considered a complex neoplastic entity, and one of the main causes of death in men in the western world. In dogs, prostatic carcinoma (PC) exhibits undifferentiated morphology with different phenotypes, is hormonally independent of aggressive character, and has high rates of metastasis to different organs. Although in humans, the risk factors for tumor development are known, in dogs, this scenario is still unclear, especially regarding castration. Therefore, with the advent of molecular biology, studies were and are carried out with the aim of identifying the main molecular mechanisms and signaling pathways involved in the carcinogenesis and progression of canine PC, aiming to identify potential biomarkers for diagnosis, prognosis, and targeted treatment. However, there are extensive gaps to be filled, especially when considering the dog as experimental model for the study of this neoplasm in humans. Thus, due to the complexity of the subject, the objective of this review is to present the main pathobiological aspects of canine PC from a comparative point of view to the same neoplasm in the human species, addressing the historical context and current understanding in the scientific field.
Enhanced Oxygen Vacancies in Ce-Doped SnO2 Nanofibers for Highly Efficient Soot Catalytic Combustion
Authors: Zhu Silun , Shi Shuying , Zheng Xinhua , Wang Xinqiang , Yu Gang , Jiang Yonggang , Feng Jian , Zhu Luyi , Zhang Guanghui
Published: May 2022

In this paper, cerium was incorporated into polyhydroxyltriacetictin (PHTES) using the sol-gel method combined with electrospinning technology to prepare a series of composite oxide fiber catalysts SnxCe1−xO2 in different proportions. The structures and soot catalytic activities of SnxCe1−xO2 fibers were studied under loose contact conditions. When Ce entered the crystal lattice of SnO2, the structural symmetry of the SnO2 was destroyed, which inhibited the crystallization and grain growth of the fiber, and fiber catalysts with a larger specific surface area were obtained. Moreover, the introduction of Ce improved the number of oxygen vacancies and redox ability of the catalyst, thus promoting the catalytic activity of the catalyst for soot particles. In particular, among them, the Sn0.7Ce0.3O2 fiber catalysts had the strongest catalytic oxidation ability regarding soot particles and could oxidize soot particles at a lower temperature and faster catalytic rate. The results of the temperature-programmed oxidation of Sn0.7Ce0.3O2 fiber catalyst, conducted three times under the same conditions, were basically consistent, indicating that the experimental results are reliable and repeatable. In addition, the Sn0.7Ce0.3O2 fiber catalyst showed good cycle stability.
Construction of Bronze TiO2/Ti3C2 MXene/Ag3PO4 Ternary Composite Photocatalyst toward High Photocatalytic Performance
Authors: Li Yong , Zhang Mingqing , Liu Yanfang , Zhao Qinghua , Li Xin , Zhou Qianyu , Chen Yuanfu , Wang Shifeng
Published: May 2022

Research has demonstrated that the formation of composites of titanium dioxide (TiO2) with silver phosphate (Ag3PO4) through the construction of heterojunctions can expand its light absorption range and suppress the recombination of photogenerated electron–hole pairs, thereby improving the photocatalytic performance. However, this method offers only limited performance improvements, and the composite photocatalysts are costly due to the expensive Ag3PO4. In this study, Ti3C2 MXene, which has good hydrophilicity and excellent electrical conductivity, is first used to form Schottky junction composites with bronze TiO2 (TiO2(B)) via electrostatic self-assembly. Then, Ag3PO4 quantum dots were further formed on the surface of the TiO2(B)/Ti3C2 MXene by in situ self-growth, and Ag3PO4 formed heterojunctions and Schottky junctions with TiO2(B) and Ti3C2 MXene, respectively. Finally, a ternary composite photocatalyst TiO2(B)/Ti3C2 MXene/Ag3PO4 was jointly constructed by these functional junctions. Under the synergistic effect of these functional junctions, the mobility and fast separation performance of photogenerated electron–hole pairs of the composite photocatalyst were significantly improved, the recombination of photogenerated electron–hole pairs was effectively suppressed, and the light absorption performance was enhanced. As a result, the composite photocatalyst exhibited excellent photocatalytic performances.
Recent Advances in Perovskite Catalysts for Efficient Overall Water Splitting
Authors: Si Conghui , Zhang Wenchao , Lu Qifang , Guo Enyan , Yang Zhou , Chen Jiyun , He Xinya , Luo Jing
Published: May 2022

Hydrogen is considered a promising clean energy vector with the features of high energy capacity and zero-carbon emission. Water splitting is an environment-friendly and effective route for producing high-purity hydrogen, which contains two important half-cell reactions, namely, the anodic oxygen evolution reaction (OER) and the cathodic hydrogen evolution reaction (HER). At the heart of water splitting is high-performance electrocatalysts that efficiently improve the rate and selectivity of key chemical reactions. Recently, perovskite oxides have emerged as promising candidates for efficient water splitting electrocatalysts owing to their low cost, high electrochemical stability, and compositional and structural flexibility allowing for the achievement of high intrinsic electrocatalytic activity. In this review, we summarize the present research progress in the design, development, and application of perovskite oxides for electrocatalytic water splitting. The emphasis is on the innovative synthesis strategies and a deeper understanding of structure–activity relationships through a combination of systematic characterization and theoretical research. Finally, the main challenges and prospects for the further development of more efficient electrocatalysts based on perovskite oxides are proposed. It is expected to give guidance for the development of novel non-noble metal catalysts in electrochemical water splitting.
The Rice Serine/Arginine Splicing Factor RS33 Regulates Pre-mRNA Splicing during Abiotic Stress Responses
Authors: Butt Haroon , Bazin Jeremie , Prasad Kasavajhala V. S. K. , Awad Nourelislam , Crespi Martin , Reddy Anireddy S. N. , Mahfouz Magdy M.
Published: May 2022

Abiotic stresses profoundly affect plant growth and development and limit crop productivity. Pre-mRNA splicing is a major form of gene regulation that helps plants cope with various stresses. Serine/arginine (SR)-rich splicing factors play a key role in pre-mRNA splicing to regulate different biological processes under stress conditions. Alternative splicing (AS) of SR transcripts and other transcripts of stress-responsive genes generates multiple splice isoforms that contribute to protein diversity, modulate gene expression, and affect plant stress tolerance. Here, we investigated the function of the plant-specific SR protein RS33 in regulating pre-mRNA splicing and abiotic stress responses in rice. The loss-of-function mutant rs33 showed increased sensitivity to salt and low-temperature stresses. Genome-wide analyses of gene expression and splicing in wild-type and rs33 seedlings subjected to these stresses identified multiple splice isoforms of stress-responsive genes whose AS are regulated by RS33. The number of RS33-regulated genes was much higher under low-temperature stress than under salt stress. Our results suggest that the plant-specific splicing factor RS33 plays a crucial role during plant responses to abiotic stresses.
Non-Coding RNAs in the Therapeutic Landscape of Pathological Cardiac Hypertrophy
Authors: Silva Joana , da Costa Martins Paula A.
Published: May 2022

Cardiovascular diseases are a major health problem, and long-term survival for people diagnosed with heart failure is, still, unrealistic. Pathological cardiac hypertrophy largely contributes to morbidity and mortality, as effective therapeutic approaches are lacking. Non-coding RNAs (ncRNAs) arise as active regulators of the signaling pathways and mechanisms that govern this pathology, and their therapeutic potential has received great attention in the last decades. Preclinical studies in large animal models have been successful in ameliorating cardiac hypertrophy, and an antisense drug for the treatment of heart failure has, already, entered clinical trials. In this review, we provide an overview of the molecular mechanisms underlying cardiac hypertrophy, the involvement of ncRNAs, and the current therapeutic landscape of oligonucleotides targeting these regulators. Strategies to improve the delivery of such therapeutics and overcome the actual challenges are, also, defined and discussed. With the fast advance in the improvement of oligonucleotide drug delivery, the inclusion of ncRNAs-targeting therapies for cardiac hypertrophy seems, increasingly, a closer reality.
The Actin Cytoskeleton Responds to Inflammatory Cues and Alters Macrophage Activation
Authors: Ronzier Elsa , Laurenson Alexander J. , Manickam Rohini , Liu Sophia , Saintilma Imelda M. , Schrock Dillon C. , Hammer John A. , Rotty Jeremy D.
Published: May 2022

Much remains to be learned about the molecular mechanisms underlying a class of human disorders called actinopathies. These genetic disorders are characterized by loss-of-function mutations in actin-associated proteins that affect immune cells, leading to human immunopathology. However, much remains to be learned about how cytoskeletal dysregulation promotes immunological dysfunction. The current study reveals that the macrophage actin cytoskeleton responds to LPS/IFNγ stimulation in a biphasic manner that involves cellular contraction followed by cellular spreading. Myosin II inhibition by blebbistatin blocks the initial contraction phase and lowers iNOS protein levels and nitric oxide secretion. Conversely, conditional deletion of Arp2/3 complex in macrophages attenuates spreading and increases nitric oxide secretion. However, iNOS transcription is not altered by loss of myosin II or Arp2/3 function, suggesting post-transcriptional regulation of iNOS by the cytoskeleton. Consistent with this idea, proteasome inhibition reverses the effects of blebbistatin and rescues iNOS protein levels. Arp2/3-deficient macrophages demonstrate two additional phenotypes: defective MHCII surface localization, and depressed secretion of the T cell chemokine CCL22. These data suggest that interplay between myosin II and Arp2/3 influences macrophage activity, and potentially impacts adaptive-innate immune coordination. Disrupting this balance could have detrimental impacts, particularly in the context of Arp2/3-associated actinopathies.
Economic Evaluation of Nature-Based Therapy Interventions—A Scoping Review
Authors: Busk Henriette , Sidenius Ulrik , Kongstad Line Planck , Corazon Sus Sola , Petersen Christina Bjørk , Poulsen Dorthe Varning , Nyed Patrik Karlsson , Stigsdotter Ulrika Karlsson
Published: May 2022

Introduction: Nature-based therapy (NBT) has shown positive effects on different health-related outcomes and is becoming a more frequent approach in various rehabilitative interventions. Economic evaluations are widely used to inform decision makers of cost-effective interventions. However, economic evaluations of NBT have not yet been reviewed. The aim of this review was to uncover existing types and characteristics of economic evaluations in the field of nature-based therapeutic interventions. Methods: In this scoping review available knowledge about the topic was mapped. A comprehensive search of selected databases (MEDLINE; EMBASE; CINAHL; Scopus; Cochrane; PSYCinfo; Web of Science) and grey literature was conducted in November 2021. Data was synthesised in a thematic presentation. Results: Three papers met the inclusion criteria, containing differences in design, types and dose of nature-based therapeutic interventions, outcome measures and target groups (n = 648). The papers showed tendencies toward a good treatment effect and positive economic effect in favour of NBT. Conclusions: Three different cohort studies have tried calculating the economic impact of NBT indicating a good effect of the NBT. The evidence on the economic benefits of NBT is still sparse though promising, bearing the limitations of the studies in mind. Economic evaluation of NBT is a new area needing more research, including high-quality research studies where the economic evaluation model is included/incorporated from the beginning of the study design. This will enhance the credibility and usefulness to policy makers and clinicians.
Microstructure and Wear Resistance of Fe60 Laser Cladding Coating Assisted by Steady Magnetic Field–Mechanical Vibration Coupling Field
Authors: Wang Yueyi , Shi Hai , Hao Xuanhong , Liu Hongxi , Zhang Xiaowei
Published: May 2022

Fe60 laser cladding coating was prepared on the surface of 45 steel with the assistance of alternating magnetic field–mechanical vibration coupling field. The XRD results show that the coating is mainly composed of solid solution Ni-Cr-Fe, (Fe, Ni), and Fe-Cr and also contains a certain amount of Cr2Fe14C hard phase. In the process of laser cladding, the chemical composition of the coating is not affected by the coupling field. Under the interaction of the coupling field, the liquid metal in the molten pool is fully stirred; the heat diffusion in the molten pool is accelerated; the temperature gradient in front of the solid–liquid interface decreases; and the large-size dendrites are broken. Those contribute to the grains being refined significantly in the coating. In addition, the content of Cr2Fe14C hard phase in the coating is increased under the coupling field. The maximum microhardness of the coating can reach 702 HV0.2, and the corrosion rate of the coating is the lowest under the coupling field, while the weight loss of the 45 steel surface with the action of the coupling field is 68.9% lower than that without coupling field. The laser cladding technology assisted by alternating magnetic field–mechanical vibration coupling field can promote the development of a wear-resistant coating field.
TRK Inhibition with Entrectinib in Metastatic Salivary Secretory Carcinoma (SC): A Case Report
Authors: Ernst Matthew S. , Lysack John T. , Hyrcza Martin D. , Chandarana Shamir P. , Hao Desiree
Published: May 2022

NTRK gene fusions are rare oncogenic driver mutations that can be found in a broad range of neoplasms. In secretory carcinoma (SC), ETV6-NTRK3 gene fusion is seen in a majority of the cases and represents a druggable target for patients with advanced disease in the absence of a currently accepted standard of care. In our case, we describe a patient with recurrent, metastatic SC treated with first line entrectinib with clinically meaningful, durable ongoing response after 49 months. The patient experienced grade 1 fatigue, dysgeusia, skin sensitivity, arthralgias, an increase in serum creatinine, and weight-gain as well as grade 2 hypotension which resolved after a dose reduction. Entrectinib is a well-tolerated treatment with the potential for durable responses and TRK inhibition should be considered the standard of care in SC and other NTRK gene fusion-positive advanced neoplasms without acceptable alternative treatment options.
Diagnostic Performance of 99mTc-Methoxy-Isobuty-Isonitrile (MIBI) for Risk Stratification of Hypofunctioning Thyroid Nodules: A European Multicenter Study
Authors: Schenke Simone Agnes , Campennì Alfredo , Tuncel Murat , Bottoni Gianluca , Sager Sait , Bogovic Crncic Tatjana , Rozic Damir , Görges Rainer , Özcan Pinar Pelin , Groener Daniel , Hautzel Hubertus , Klett Rigobert , Kreissl Michael Christoph , Giovanella Luca
Published: May 2022

99mTc-MIBI (MIBI) imaging is able to exclude malignancy of hypofunctioning thyroid nodules (TNs) with high probability but false positive results are frequent due to low specificity. Therefore, pre-test selection of appropriate TNs is crucial. For image evaluation visual and semiquantitative methods (Washout index, WOInd) are used. Aim of this study was to evaluate the diagnostic performance of MIBI imaging in hypofunctioning TNs with indeterminate fine-needle aspiration cytology results in a multicentric European setting. Patients with hypofunctioning TNs, EU-TIRADS 4 or 5, Bethesda III/IV and MIBI imaging were included. For visual evaluation the intensity of MIBI uptake in the TN was compared to normal thyroid tissue. 358 patients with 365 TNs (n = 68 malignant) were included. Planar imaging (SPECT) showed a sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of 96% (94%), 21% (22%), 22% (15%), 96% (96%), and 35% (32%). The WOInd (38.9% of all cases, optimal cutoff: −19%) showed a sens 100% (spec 89%, PPV 82%, NPV 100%, ACC 93%). For hypofunctioning TNs at intermediate or high risk with indeterminate cytology, a MIBI negative result on visual evaluation is an effective tool to rule-out thyroid malignancy. The semi-quantitative method could considerably improve overall diagnostic performance of MIBI imaging.
Improved Binary Grasshopper Optimization Algorithm for Feature Selection Problem
Authors: Wang Gui-Ling , Chu Shu-Chuan , Tian Ai-Qing , Liu Tao , Pan Jeng-Shyang
Published: May 2022

The migration and predation of grasshoppers inspire the grasshopper optimization algorithm (GOA). It can be applied to practical problems. The binary grasshopper optimization algorithm (BGOA) is used for binary problems. To improve the algorithm’s exploration capability and the solution’s quality, this paper modifies the step size in BGOA. The step size is expanded and three new transfer functions are proposed based on the improvement. To demonstrate the availability of the algorithm, a comparative experiment with BGOA, particle swarm optimization (PSO), and binary gray wolf optimizer (BGWO) is conducted. The improved algorithm is tested on 23 benchmark test functions. Wilcoxon rank-sum and Friedman tests are used to verify the algorithm’s validity. The results indicate that the optimized algorithm is significantly more excellent than others in most functions. In the aspect of the application, this paper selects 23 datasets of UCI for feature selection implementation. The improved algorithm yields higher accuracy and fewer features.
Measuring Students’ School Motivation
Authors: Conradty Cathérine , Bogner Franz X.
Published: May 2022

Education is supposed to lay the foundation for vocational maturity. However, young people lose their motivation to learn at school instead. Adequate teaching concepts to promote school motivation need to be developed, but efficient tools to evaluate them at the level of school motivation are lacking. For this purpose, we built upon the established Science Motivation measure (SMOT) by reformulating items for a general school motivation scale (SchMOT) and applying it to 281 fifth graders. Since children are active creators and not consumers of knowledge, we consider learning motivation correlated with creativity, as demonstrated by the original motivation questionnaire. A principal component factor analysis with varimax rotation confirmed the hypothetical four-factor structure: self-efficacy, self-determination, intrinsic motivation and grade motivation. Factor loadings ranged from 0.556 to 0.746; cross-loadings never exceeded 0.4. The SEM model of motivation confirmed the factor structure with self-efficacy as the strongest predictor of motivation. The correlation of motivation and creativity revealed the particular importance of self-efficacy. This study has shown its appropriateness in measuring adolescent school motivation. Results emphasised the need for self-efficacy, both as an indicator of conducive teaching and an essential pedagogical goal. Suggestions for creativity-based teaching initiatives that promote school motivation by incorporating self-efficacy are discussed.
Assessing Algorithmic Thinking Skills in Relation to Age in Early Childhood STEM Education
Authors: Kanaki Kalliopi , Kalogiannakis Michail
Published: May 2022

In the modern digital era, intensive efforts are made to inject computational thinking (CT) across science, technology, engineering, and mathematics (STEM) fields, aiming at formulating a well-trained citizenry and workforce capable of confronting intricate problems that would not be solvable unless exercising CT skills. Focusing on contributing to the research area of CT assessment in the first two years of primary school, we investigated the correlation of algorithmic thinking skills, as a fundamental CT competency, with students’ age in early childhood settings. This article reports a relevant research study, which we implemented under the umbrella of quantitative methodology, employing an innovative assessment tool we constructed for serving the needs of our study. The research was conducted within the context of the environmental study course, adding to the efforts of infusing CT into STEM fields. The study results shed light on the correlation between algorithmic thinking skills and age in early childhood, revealing that age is a predictor factor for algorithmic thinking and, therefore, for CT.
A Brief Review on Internet of Things, Industry 4.0 and Cybersecurity
Authors: Rudenko Roman , Pires Ivan Miguel , Oliveira Paula , Barroso João , Reis Arsénio
Published: May 2022

The advance of industrialization regarding the optimization of production to obtain greater productivity and consequently generate more profits has led to the emergence of Industry 4.0, which aims to create an environment called smart manufacturing. On the other hand, the Internet of Things is a global network of interrelated physical devices, such as sensors, actuators, intelligent applications, computers, mechanical machines, objects, and people, becoming an essential part of the Internet. These devices are data sources that provide abundant information on manufacturing processes in an industrial environment. A concern of this type of system is processing large sets of data and generating knowledge. These challenges often raise concerns about security, more specifically cybersecurity. Good cybersecurity practices make it possible to avoid damage to production lines and information. With the growing increase in threats in terms of security, this paper aims to carry out a review of existing technologies about cybersecurity in intelligent manufacturing and an introduction to the architecture of the IoT and smart manufacturing.
Mittag–Leffler Synchronization of Caputo-Delayed Quaternion BAM Neural Networks via Adaptive and Linear Feedback Control Designs
Authors: Ye Renyu , Cheng Jingshun , Shu Axiu , Zhang Hai
Published: May 2022

The Mittag–Leffler synchronization (MLS) issue for Caputo-delayed quaternion bidirectional associative memory neural networks (BAM-NNs) is studied in this paper. Firstly, a novel lemma is proved by the Laplace transform and inverse transform. Then, without decomposing a quaternion system into subsystems, the adaptive controller and the linear controller are designed to realize MLS. According to the proposed lemma, constructing two different Lyapunov functionals and applying the fractional Razumikhin theorem and inequality techniques, the sufficient criteria of MLS on fractional delayed quaternion BAM-NNs are derived. Finally, two numerical examples are given to illustrate the validity and practicability.
Design of a Modified Compact Coupler with Unwanted Harmonics Suppression for L-Band Applications
Authors: Roshani Saeed , Yahya Salah I. , Roshani Sobhan , Farahmand Amir Hossein , Hemmati Siroos
Published: May 2022

This paper presents the design, analysis, and fabrication of a new miniaturized microstrip branch line coupler (BLC) with high harmonics suppression. The T-shaped resonators, open stubs cross-shaped resonators and radial stubs are used in the proposed coupler design. The designed BLC operates at 1 GHz frequency, which can suppress up to 5th spurious harmonics with a 20 dB level of attenuation. High miniaturization of about 86% is obtained for the proposed BLC, which is corresponding to the normalized size of 0.009 λg2. The measured values of isolation and return loss are obtained 28 dB and 29 dB, respectively, while the measured insertion loss of better than 0.2 dB is achieved at the operating frequency. Additionally, the operating bandwidth of the designed coupler ranges from 0.905 GHz up to 1.105 GHz, which shows a 200 MHz operating bandwidth or a fractional bandwidth (FBW) of 20%. The presented BLC is fabricated and measured, where the measurements confirm the simulated results. The designed coupler shows desirable performance compared to the recent designed couplers.
A Hybrid Ensemble Stacking Model for Gender Voice Recognition Approach
Authors: Alkhammash Eman H. , Hadjouni Myriam , Elshewey Ahmed M.
Published: May 2022

Gender recognition by voice is a vital research subject in speech processing and acoustics, as human voices have many remarkable characteristics. Voice recognition is beneficial in a variety of applications, including mobile health care systems, interactive systems, crime analysis, and recognition systems. Several algorithms for voice recognition have been developed, but there is still potential for development in terms of the system’s accuracy and efficiency. Recent research has focused on combining ensemble learning with a variety of machine learning models in order to create more accurate classifiers. In this paper, a stacked ensemble for gender voice recognition model is presented, using four classifiers, namely, k-nearest neighbor (KNN), support vector machine (SVM), stochastic gradient descent (SGD), and logistic regression (LR) as base classifiers and linear discriminant analysis (LDA) as meta classifier. The dataset used includes 3168 instances and 21 features, where 20 features are the predictors, and one feature is the target. Several prediction evaluation metrics, including precision, accuracy, recall, F1 score, and area under the receiver operating characteristic curve (AUC), were computed to verify the execution of the proposed model. The results obtained illustrated that the stacked model achieved better results compared to other conventional machine learning models. The stacked model achieved high accuracy with 99.64%.
Effect of Operating Parameters on Efficiency of Swash-Plate Type Axial Piston Pump
Authors: Kauranne Heikki
Published: May 2022

In an effort to improve the energy economics of hydraulic systems, attention should be paid to reducing power losses in two main entities, energy converting components, and energy controlling and conveying components. Achieving the former requires utilizing components’ most energy efficient operating range. The energy converting efficiency of a pump, which is the primary energy converter in a hydraulic system, is determined by several operational factors. Of these, only pressure and rotational speed are normally considered, but also the fluid temperature and derived capacity with variable displacement pumps have a major effect on the efficiency. Omitting these factors may lead to running the pump outside its most efficient operation range and cause high energy losses. Operating the pump in its optimal region calls, however, for detailed knowledge of its performance characteristics, which are not generally made public by the pump manufacturers. This study presents the performance measurement results of a variable displacement axial piston pump in the form of efficiencies as a function of pressure, rotational speed, derived capacity and inlet fluid temperature. The results show that all of these factors have a significant impact on pump’s energy conversion efficiency and should, therefore, be taken into account when operating a hydraulic pump.
Energy Storage Benefits Assessment Using Multiple-Choice Criteria: The Case of Drini River Cascade, Albania
Authors: Malka Lorenc , Daci Alfred , Kuriqi Alban , Bartocci Pietro , Rrapaj Ermonela
Published: May 2022

Albania’s electricity sector lacks energy storage systems (ESS); hence, large quantities of electricity generated during the off-peak time, and excess electricity cannot be stored. On the other hand, the transmission capacity upgrades do not keep pace with the growth in peak electric demand; thus, congestion-related issues occur. Congestion of transmission lines has led to considerable uncertainties. Drin River cascade is located north of Albania. It possesses enormous potential energy that is not used due to a lack of ESS. Security of supply, rational use of renewable energy sources (RES), diversification of the electricity sector, increased competitiveness, sheltering more future RES capacities that can benefit from deferring investment in the existing transmission system, and environmental protection are some of these the main benefits of integrating ESS. Regarding the energy transition, the Albanian government’s endeavor aims to maintain and further develop a flexible, sustainable, secure, efficiently supplied, and affordable energy supply system. The results of the simulation executed by using ES-select software to produce multiple benefits from a single device from the chosen application’s list (App1–App6) showed that the most adequate ESS for storing excess electricity in the Drin River cascade are: compressed air energy storage (CAES-c), pumped hydro energy storage (PHES), and sodium-sulfur batteries (NaS). Integrating such systems in the central or bulk generation makes the circumvented cost in 10 years profitable; therefore, moving towards 2030, it would be extremely difficult to tackle the energy sector’s challenges alone, without integrating the ESS.
Solar Power Potential from Industrial Buildings and Impact on Electricity Supply in Bangladesh
Authors: Talut Muhammad , Bahaj AbuBakr S. , James Patrick
Published: May 2022

Bangladesh has a rapidly increasing population and coupled with healthy economic growth, is resulting in a rising energy demand. The country also aims to increase its renewable share of electricity to 10% by 2030. However, due to limited wind resources, solar energy seems to be most appropriate to deliver such a target. However, in a land-scarce country, this presents a major challenge, which this work aims to partially address. Being a globally leading producer of commodities, Bangladesh has a considerable number of large manufacturing plants with appropriate roofs that could be used for deploying solar energy conversion systems at scale. A methodology is presented which identified and assessed 6045 such plants, which have roof areas ranging from 100 m2 to 50,000 m2, and modelled the deployment of solar photovoltaic (PV) technology that can provide power through site available grid infrastructure. Such deployment takes advantage of net metering regulations to enhance the case for such power generation. A techno-economic assessment was also presented, addressing how such utilisation can support the 10% renewables target of Bangladesh without impacting scarce lands. The results showed that around 7.4 GWp of PV capacity can be achieved on such roofs with a corresponding annual electricity generation of 11 TWh. This represents more than 6% of Bangladesh’s current electricity consumption and more than half of the 2030 target. Furthermore, the deployment will save 13,000 acres of farmland, as well as providing power through site available grid infrastructure saving on investment if the systems are deployed on land. These results are likely to influence policy to support the presented proposition, not only in terms of increasing the renewable energy share in the country’s electricity supply mix but also in conserving much-needed land for agriculture.
Model Predictive Control for PMSM Based on Discrete Space Vector Modulation with RLS Parameter Identification
Authors: Yu Hao , Wang Jiajun , Xin Zhuangzhuang
Published: May 2022

Model Predictive Control (MPC) based on Discrete Space Vector Modulation (DSVM) has the advantages of simple mathematical model and fast dynamic response. It is widely used in permanent magnet synchronous motor (PMSM). Additionally, the control performance of DSVM-MPC is influenced by the accuracy of motor parameters and the select speed of optimal voltage vector. In order to identify motor parameters accurately, model predictive control for PMSM based on discrete space vector modulation with recursive least squares (RLS) parameter identification is proposed in this paper. Additionally, a method to preselect candidate voltage vectors is proposed to select the optimal voltage vector more quickly. The simulation model of RLS-DSVM-MPC is established to simulate the influence of different parameters on PMSM performance. The simulation results show that model predictive control for PMSM based on discrete space vector modulation with RLS parameter identification has a better control performance than that of without RLS parameter identification.
Pulse-Amplitude-Modulation Full-Bridge Diode-Clamped Multilevel LLC Resonant Converter Using Multi-Neighboring Reference Vector Discontinuous PWM
Authors: Song Min-Sup , Lee Jae-Bum
Published: May 2022

A full-bridge diode-clamped multilevel LLC resonant converter suitable for power conversion systems that use high input voltage, such as railway vehicles, is proposed in this paper. In order to eliminate the voltage deviations of the capacitors connected in series to the high voltage input DC link, a novel modulation strategy referred to as multi-neighboring reference vector discontinuous pulse-width modulation (MNRV DPWM) is proposed. Unlike the existing two-level resonant converter that varies the operating frequency to hold the output voltage constant, the proposed multilevel resonant converter modulates the amplitude of the fundamental wave input to a resonance tank while fixing the operating frequency at the resonance point. Therefore, the design of passive elements becomes easier, and stable operation is possible over a wide operating range with only one power conversion stage. In this paper, the control algorithm and operation characteristics of the newly proposed full-bridge diode-clamped four-level LLC resonant converter are analyzed in detail and design guidelines are presented. The feasibility of the proposed converter is verified through a simulation and an experiment with a prototype converter.
Modeling and Mapping Habitat Suitability of Highland Bamboo under Climate Change in Ethiopia
Authors: Yebeyen Dagnew , Nemomissa Sileshi , Hailu Binyam Tesfaw , Zewdie Worku , Sileshi Gudeta W. , Rodríguez Rosana López , Woldie Tefera M.
Published: May 2022

Highland bamboo (Oldeania alpina formerly Arundinaria alpina or Yushania alpina) is a species of significant conservation value in Afromontane ecosystems across Africa. It also plays a significant role in the livelihoods of local communities. However, global climate change is anticipated to alter its ecological niche, leading to range shifts and possible habitat contractions. This study aimed to identify potentially suitable habitats for highland bamboo in Ethiopia, determine the resilience of the species under climate change, and establish the environmental factors affecting its habitat. Species distribution modeling (SDM) was implemented in the SDM R package using 231 georeferenced presence records together with climate, topographic, and soil data. To assess climate change risks to the species, predictive models were developed assuming climate scenarios for 2061–2080 under two shared socio-economic pathways (SSPs), namely, SSP2-45 and SSP5-85. The results indicated that highland bamboo mainly grows in high elevation areas with altitudes of 2100–3100 m asl with mean annual temperatures of 11.5–19.3 °C, annual precipitation of 873–1962 mm, precipitation of the driest quarter of 36–147 mm, soil pH of 5.6, and soil CEC of 30.7 cmolc/kg. The current potentially suitable habitat for this species in Ethiopia was estimated at 61,831.58 km2, with the majority of habitats being in the southern and southwestern parts of the country. Our models predicted that the suitable habitat will shrink by 13.4% under the SSP5-85 scenario, while potential new suitable areas for this species were identified under the SSP2-45 scenario. Future vulnerable areas were mostly found in central Ethiopia. Based on the predictions, we conclude that most of the suitable habitats for highland bamboo will remain suitable between the years 2061 and 2080.