bluuebunny/crossref_metadata_2025_split huggingface dataset:
Facile microwave synthesis of multi‐walled carbon nanotubes for modification of elastomer used as heaters
Authors: Ali Imran , Shchegolkov Aleksandr , Shchegolkov Aleksey , Chumak Maksim Aleksandrovich , Viktorovich Nashchekin Alexey , Vasilievich Likhachev Kirill , Imanova Gunel , Kurniawan Tonni Agustiono , Habila Mohamed A. 
Published: September 2023

AbstractMulti‐walled carbon nanotubes (MWCNTs) were synthesized by a microwave method. MWCNTs had filamentous shapes (10 μm) and were intertwined in bundles (40–60 nm diameter). The rapid oxidation of MWCNTs with a loss of 90% of weight was observed from 530 to 630°C. 2% Residue was present at 630°C, which gradually decreased to 1.2% at 1000°C. In a silicone elastomer, increased thermal conductivity at a concentration of 8% MWCNTs was observed. The highest thermal conductivity of the nano‐modified elastomer was 0.48 W/m°C with 8.0 wt% MWCNTs. The highest electrical conductivity was 2.4 × 10−5 S cm−1 at 8.0 wt% MWCNTs. Both the thermal and electrical conductivities showed percolation behavior with the percolation thresholds at 6 and 5 wt%, respectively. The MWCNTs synthesized by microwave method gave a good power economy in comparison to MWCNTs obtained by chemical vapor deposition (CVD) on NiMg catalyst. Microwave‐synthesized MWCNTs showed high stability at a potential of 250 V in an electrical resistance heater application due to the presence of Fe on the surface of MWCNTs. The developed heater can effectively operate at 220 V, which enables the use of the tubes in household appliances, such as heat fans, irons, and washing machines.Highlights
Synthesis of MWCNTs by microwave plasma treatment of ferrocene and graphite.
Characterization of MWCNTs by different techniques.
Concentration dependence of electro‐ and thermal conductivity of MWCNTs in elastomers.
Electro‐physical parameters studies of elastomers modified with MWCNTs.
Heat generation studies in elastomeric matrix with MWCNTs.
The relationship between negative parenting styles and suicidal ideation among Chinese junior middle school students: The roles of negative emotions and hope
Authors: Guan Jinliang , Liu Baojuan , Ma Wangyan , Liu Chengzhen 
Published: September 2023

AbstractSuicidal ideation is a prominent public health problem among junior middle school students. Previous researchers have explored the influence of parenting style on adolescents' suicidal ideation, but few researchers distinguished the influence of positive and negative parenting styles. The mediating effect of negative emotions between negative parenting styles and suicidal ideation and the moderating effect of hope among Chinese junior middle school students were focused on in this study. 877 junior middle school students in Hunan, Anhui, and Jiangxi provinces in China were investigated with the simplified Parenting Style Questionnaire, Positive and Negative Affect Schedule, Children's Hope Scale, and Self‐rating Idea of Suicide Scale. The theoretical models were tested through the PROCESS macro for SPSS. The results showed that: (1) Negative parenting styles had positive effects on suicidal ideation. (2) Negative emotions mediated the relationship between negative parenting styles and suicidal ideation. (3) Hope moderated the relationship between negative emotions and suicidal ideation. This study implies that we could start by improving adolescents' negative parenting styles and raising their level of hope to prevent and intervene in adolescents' suicidal ideation.
Multi‐perspectives and challenges in identifying B‐cell epitopes
Authors: Kumar Nishant , Bajiya Nisha , Patiyal Sumeet , Raghava Gajendra P. S. 
Published: September 2023

AbstractThe identification of B‐cell epitopes (BCEs) in antigens is a crucial step in developing recombinant vaccines or immunotherapies for various diseases. Over the past four decades, numerous in silico methods have been developed for predicting BCEs. However, existing reviews have only covered specific aspects, such as the progress in predicting conformational or linear BCEs. Therefore, in this paper, we have undertaken a systematic approach to provide a comprehensive review covering all aspects associated with the identification of BCEs. First, we have covered the experimental techniques developed over the years for identifying linear and conformational epitopes, including the limitations and challenges associated with these techniques. Second, we have briefly described the historical perspectives and resources that maintain experimentally validated information on BCEs. Third, we have extensively reviewed the computational methods developed for predicting conformational BCEs from the structure of the antigen, as well as the methods for predicting conformational epitopes from the sequence. Fourth, we have systematically reviewed the in silico methods developed in the last four decades for predicting linear or continuous BCEs. Finally, we have discussed the overall challenge of identifying continuous or conformational BCEs. In this review, we only listed major computational resources; a complete list with the URL is available from the BCinfo website (https://webs.iiitd.edu.in/raghava/bcinfo/).
String Model Building on Quantum Annealers
Authors: Abel Steven , Nutricati Luca A. , Rizos John 
Published: September 2023

AbstractFor the first time the direct construction of string models on quantum annealers has been explored and has been investigated their efficiency and effectiveness in the model discovery process. Through a thorough comparison with traditional methods such as simulated annealing, random scans, and genetic algorithms, it is highlighted the potential advantages offered by quantum annealers, which in this study promised to be roughly 50 times faster than random scans and genetic algorithm and approximately four times faster than simulated annealing.
Impact of storage technologies and duration on insect pest population, post‐harvest losses, and seed quality of stored chickpea in Ethiopia
Authors: Berhe Muez , Subramanyam Bhadriraju , Demissie Girma , Chichaybelu Mekasha , Abera Fetien Abay , Mahroof Rizana , Harvey Jagger 
Published: September 2023

AbstractChickpea (Cicer arietinum L.) is the most important winter season food legume in Ethiopia. Despite being a major producer and consumer of chickpeas, Ethiopia experiences lower yields due to biotic and abiotic stresses, particularly insect pest infestations during storage. This study aimed to evaluate the impact of different storage technologies and durations on the losses of stored chickpea seeds in terms of both quantity and quality. The experiment involved five storage technologies and three durations, spanning a period of 6 months, with data collected at 2‐month intervals. The results showed that the Purdue Improved Crop Storage (PICS) and Super GrainPro (SGP) bags effectively maintained intergranular temperature, seed moisture content, and relative humidity throughout the storage period, followed by the modified hermetic metal silo. In contrast, traditional bags exhibited a significant increase in these parameters. The PICS and SGP bags also exhibited the lowest numbers of total insect pests after 6 months, while the jute bags had the highest infestation. Common insect species found in the stored chickpea seeds were Callosobruchus chinensis (L.), Sitophilus oryzae (L.), and Tribolium confusum (duVal). Furthermore, hermetic bags (PICS and SGP) demonstrated the least grain damage and weight loss, while jute bags had relatively higher values. Seed viability was well maintained in hermetic bags but significantly decreased in traditional bags. Overall, hermetic storage technologies, such as the PICS and SGP bags, effectively suppressed insect development, reduced losses, and preserved seed viability without the need for insecticides. It is recommended that farmers use these hermetic storage bags after proper drying to enhance food security and income generation. By implementing these recommendations, Ethiopia can enhance its chickpea storage practices, reduce post‐harvest losses, and contribute to improved food security and economic sustainability in the chickpea sector. © 2023 Society of Chemical Industry.
Right heart thrombus in acute pulmonary embolism: A single center experience in China
Authors: Li Wen , Liu Zhi‐Ying , Chen Xiao‐Xi , Qian Yu‐Ling , Quan Rui‐Lin , Xiong Chang‐Ming , Gu Qing , He Jian‐Guo 
Published: September 2023

AbstractRight heart thrombus (RHT) is a rare but life‐threatening condition in acute pulmonary embolism (APE) without clear management guidelines. This study aimed to address the clinical characteristics and outcomes of RHT‐APE in Chinese patients. In this study, 17 RHT‐APE and 329 non‐RHT‐APE patients, who were diagnosed between September 2015 and August 2019, were retrospectively recruited with the median follow‐up was 360 days. The overall prevalence of RHT was 4.91% in APE. Its prevalence increased along the increase of APE risk stratifications. Comparisons showed that with higher proportion of male gender and younger age, RHT‐APE patients also had worse hemodynamic instability and heart function, and higher risk stratification levels than non‐RHT‐APE patients. After adjusting by age and gender, multivariate logistic regression analysis found high/intermediate‐high risk stratification, decreased right ventricular (RV) motion, NT‐proBNP >600 pg/mL, and RV dysfunction were risk factors for RHT. Kaplan−Meier analysis showed non‐RHT had better prognosis than RHT patients (30‐day survival: log‐rank: p < 0.001; 90‐day survival: log‐rank: p = 0.002). The multivariate logistic regression analysis showed RHT was an independent risk factor for 30‐day mortality in APE. The subgroup analysis showed RHT would result in worse outcomes in patients who already had higher APE early mortality risk. RHT would increase the risk of 30‐ and 90‐day mortality in APE. More attention should be paid to young male APE patients with decreased RV motion, NT‐proBNP >600 pg/mL, RV dysfunction, or high level of risk stratification, to exclude the coexistence of RHT.
Sparse convolutional autoencoder‐based fault location for drive circuits in nuclear reactors
Authors: Yang Cheng , Yuan Yannan , Wang Fu , Li Jueying , Li Ang , Min Yuan , Zhang Qiang 
Published: September 2023

AbstractDrive circuit is a critical part of instrumentation and control systems in nuclear reactors, and its performance directly influences the operation of nuclear reactors. However, comparing with the open circuit IGBT faults, soft faults caused by the degradation of electronic components present much slighter fluctuations to the performance of drive circuits. If the two fault modes co‐exist, traditional fault diagnosis models are prone to misclassify soft faults as the normal condition. To improve the accuracy of fault diagnosis of drive circuits, it necessitates to accurately locate the faults of drive circuits, while effectively extracting the distinguishable fault features is one of the critical factors for fault location. In this article, a fault location method combining the empirical modal decomposition (EMD) algorithm and sparse convolutional autoencoder (SCAE) is proposed. The EMD algorithm is applied to decompose the three‐phase current signals of drive circuits. An SCAE‐based feature extractor is constructed to capture high‐dimensional and sparse fault feature data with the aid of the powerful feature autonomic extraction capability of deep learning. A deep classifier is designed to locate faults in the driver circuit. A fault simulation model of the drive circuit is developed and the monitor data is collected. The effectiveness of the proposed method is validated via a real case of drive circuit in nuclear reactors.
Breaking the cycle: The mediating effects of reading, mathematical and ICT literacy skills on financial success in youth
Authors: Acar Tülin Otbiçer 
Published: September 2023

AbstractFor young people, financial literacy is important because they face financial decisions that can have significant consequences throughout their lives, such as investing in a college education or a business, shopping, buying books or computer games. Therefore, this study examined the relationship between the financial literacy levels of young people and their perceived ICT competence, reading and mathematical literacy, which are measurable and observable phenomena. The research data were obtained from the 2018 PISA (Program for International Student Assessment) database, officially published by the OECD. The participants of this study were 15‐year‐old students from 15 different countries that participated in the PISA programme in 2018. Mathematical and reading literacy were found to be an important variable affecting the financial literacy performance of young people. However, ICT competencies did not significantly affect the financial literacy performance of young people. Additionally, this study tested the mediating effects of reading literacy, mathematical literacy and perceived ICT competence variables on financial literacy.
Security sliding mode control for networked control system under multi‐channel Markovian hybrid cyber‐attacks
Authors: Mao Dancheng , Niu Yugang , Li Jiarui , Yang Yekai 
Published: September 2023

AbstractThis work investigates the security sliding mode control problem of uncertain discrete‐time systems under an unreliable network, in which denial of service and deception attacks may randomly occur in each sensor‐to‐controller channel. Two 2‐valued variables are introduced to model the available state signals for the controller side under random attacks. Meanwhile, by means of mapping rule, independent Markov chains are reformulated into a new Markov chain. And then, a hybrid‐attack‐probability dependent sliding function is constructed, and a desirable sliding mode controller is designed by adopting compensation strategy and available state signals. Moreover, sufficient conditions are derived, under which the closed‐loop system achieve stochastic stability along a quasi sliding mode. Moreover, a cone complementarity linearization (CCL)‐based iterative solving algorithm is proposed. Finally, simulation results are provided to verify the proposed security control approach.
No‐till marginally mitigates the impact of harvesting corn stover on soil microbial parameters
Authors: Ramirez Salvador , Jin Virginia L. , Gunderson Lance M. , Schmer Marty R. , Hanford Kathryn J. , Jeske Elizabeth S. , Drijber Rhae A. 
Published: September 2023

AbstractHarvesting corn stover can negatively impact soil chemical and physical properties, but less is known regarding its effects on soil microbiology. We evaluated the impact of corn (Zea mays L.) stover removal level (SRL) on soil microbial biomass (MB) and extracellular enzyme activities (EEAs) in irrigated, continuous corn located in eastern Nebraska. Soil fatty acid‐methyl esters (FAMEs) and EEA of eight soil enzymes were measured over 2 years, 0‐ to 20‐cm soil depth, under conventional disk tillage (CT) and no‐till (NT) under three SRLs. Soil chemical properties were measured as explanatory variables for changes in soil microbial communities and their enzymatic potential. Potential EEA of all enzymes decreased with stover removal and tillage. Soil bacterial biomass (BB) and fungal biomass (FB) decreased with SRL, while mycorrhizal biomass was unresponsive. Impacts of tillage on MB groups varied by year; however, FB was consistently higher under CT. At all growth stages, NT with all stover retained, a “soil conservation target” had distinct soil enzyme and bacterial FAME profiles compared to CT across all SRLs and to NT under high and sometimes moderate SRLs. Principal component analysis of soil properties was dominated by SRL with EEAs, BB, soil organic matter (SOM), water‐extractable carbon, and H3A‐extractable potassium being positively correlated to stover retention. Reduced input of microbial substrates also led to a loss of fine particulate organic matter, an indicator correlated to stable macroaggregation. Because NT partially ameliorated the negative impact of stover removal on BB, SOM fractions, and soil enzymes critical to nutrient cycling, pairing NT with stover removal may be more sustainable in the long term.
The complexity and interconnectedness of circular cities and the circular economy for sustainability
Authors: Brglez Kristijan , Perc Matjaž , Lukman Rebeka Kovačič 
Published: September 2023

AbstractIn our study, we are evaluating the dynamic interplay between circular cities and the circular economy, revealing connections shaped by new research insights, using Web of Science database. We have in depth analysed 671 publications from 1990 to mid‐2023, employing Leximancer and VOSviewer tools. Our analysis uncovered key themes, including buildings, waste management, value chains, and sustainable development, linking the circular cities concept and circular economy framework. Emerging research trends, such as urban metabolism, urban mining, governance models, the built environment, sustainability benchmarks, and value chain management, signify deliberate shifts towards higher circular development and implementation. These trajectories harmonise with overarching sustainable development goals. Contemporary research emphasises urban mining, circular indicators, adaptive resource reuse, and urban structure regeneration. This focus facilitates transitioning from linear models to heightened circularity within urban contexts. Research inclination is shifting from traditional economic and environmental concerns towards holistic urban configurations that prioritise social integration, communal well‐being, and the dynamics of the social economy. Through this analytical expedition, we offer novel insights that enhance our understanding of the intricate symbiosis between circular cities and the circular economy. Our findings provide a scientific foundation for formulating targeted strategies by decision‐makers and guiding urban landscapes towards transformative trajectories aligned with sustainable development objectives and sustainable cities.
Dynamic Local Structure in Caesium Lead Iodide: Spatial Correlation and Transient Domains
Authors: Baldwin William J. , Liang Xia , Klarbring Johan , Dubajic Milos , Dell'Angelo David , Sutton Christopher , Caddeo Claudia , Stranks Samuel D. , Mattoni Alessandro , Walsh Aron , Csányi Gábor 
Published: September 2023

AbstractMetal halide perovskites are multifunctional semiconductors with tunable structures and properties. They are highly dynamic crystals with complex octahedral tilting patterns and strongly anharmonic atomic behavior. In the higher temperature, higher symmetry phases of these materials, several complex structural features are observed. The local structure can differ greatly from the average structure and there is evidence that dynamic 2D structures of correlated octahedral motion form. An understanding of the underlying complex atomistic dynamics is, however, still lacking. In this work, the local structure of the inorganic perovskite CsPbI3 is investigated using a new machine learning force field based on the atomic cluster expansion framework. Through analysis of the temporal and spatial correlation observed during large‐scale simulations, it is revealed that the low frequency motion of octahedral tilts implies a double‐well effective potential landscape, even well into the cubic phase. Moreover, dynamic local regions of lower symmetry are present within both higher symmetry phases. These regions are planar and the length and timescales of the motion are reported. Finally, the spatial arrangement of these features and their interactions are investigated and visualized, providing a comprehensive picture of local structure in the higher symmetry phases.
Two‐Dimensional Van Der Waals Thin Film and Device
Authors: Liao Liping , Kovalska Evgeniya , Regner Jakub , Song Qunliang , Sofer Zdeněk 
Published: September 2023

AbstractIn the rapidly evolving field of thin‐film electronics, the emergence of large‐area flexible and wearable devices has been a significant milestone. Although organic semiconductor thin films, which can be manufactured through solution processing, have been identified, their utility is often undermined by their poor stability and low carrier mobility under ambient conditions. However, inorganic nanomaterials can be solution‐processed and demonstrate outstanding intrinsic properties and structural stability. In particular, a series of two‐dimensional (2D) nanosheet/nanoparticle materials have been shown to form stable colloids in their respective solvents. However, the integration of these 2D nanomaterials into continuous large‐area thin with precise control of layer thickness and lattice orientation still remains a significant challenge. This review paper undertakes a detailed analysis of van der Waals thin films, derived from 2D materials, in the advancement of thin‐film electronics and optoelectronic devices. The superior intrinsic properties and structural stability of inorganic nanomaterials are highlighted, which can be solution‐processed and underscor the importance of solution‐based processing, establishing it as a cornerstone strategy for scalable electronic and optoelectronic applications. A comprehensive exploration of the challenges and opportunities associated with the utilization of 2D materials for the next generation of thin‐film electronics and optoelectronic devices is presented.
Functional MXenes: Progress and Perspectives on Synthetic Strategies and Structure–Property Interplay for Next‐Generation Technologies
Authors: Meng Depeng , Xu Minghua , Li Shijie , Ganesan Muthusankar , Ruan Xiaowen , Ravi Sai Kishore , Cui Xiaoqiang 
Published: September 2023

AbstractMXenes are a class of 2D materials that include layered transition metal carbides, nitrides, and carbonitrides. Since their inception in 2011, they have garnered significant attention due to their diverse compositions, unique structures, and extraordinary properties, such as high specific surface areas and excellent electrical conductivity. This versatility has opened up immense potential in various fields, catalyzing a surge in MXene research and leading to note worthy advancements. This review offers an in‐depth overview of the evolution of MXenes over the past 5 years, with an emphasis on synthetic strategies, structure‐property relationships, and technological prospects. A classification scheme for MXene structures based on entropy is presented and an updated summary of the elemental constituents of the MXene family is provided, as documented in recent literature. Delving into the microscopic structure and synthesis routes, the intricate structure‐property relationships are explored at the nano/micro level that dictate the macroscopic applications of MXenes. Through an extensive review of the latest representative works, the utilization of MXenes in energy, environmental, electronic, and biomedical fields is showcased, offering a glimpse into the current technological bottlenecks, such asstability, scalability, and device integration. Moreover, potential pathways for advancing MXenes toward next‐generation technologies are highlighted.