bluuebunny/crossref_metadata_2025 huggingface dataset:
Bio-Skin-Inspired Flexible Pressure Sensor Based on Carbonized Cotton Fabric for Human Activity Monitoring
Authors: Yang Min , Wang Zhiwei , Jia Qihan , Xiong Junjie , Wang Haibo
Published: July 2024

With the development of technology, people’s demand for pressure sensors with high sensitivity and a wide working range is increasing. An effective way to achieve this goal is simulating human skin. Herein, we propose a facile, low-cost, and reproducible method for preparing a skin-like multi-layer flexible pressure sensor (MFPS) device with high sensitivity (5.51 kPa−1 from 0 to 30 kPa) and wide working pressure range (0–200 kPa) by assembling carbonized fabrics and micro-wrinkle-structured Ag@rGO electrodes layer by layer. In addition, the highly imitated skin structure also provides the device with an extremely short response time (60/90 ms) and stable durability (over 3000 cycles). Importantly, we integrated multiple sensor devices into gloves to monitor finger movements and behaviors. In summary, the skin-like MFPS device has significant potential for real-time monitoring of human activities in the field of flexible wearable electronics and human–machine interaction.
Exploring Dynamic Capability Drivers of Green Innovation at Different Digital Transformation Stages: Evidence from Listed Companies in China
Authors: Wang Chengliang , Liu Xiaojun , Li Yang
Published: July 2024

Digital transformation has emerged as a pivotal catalyst for corporate green innovation, specifically in the context of the green development of the manufacturing industry. Nevertheless, it is evident that there are significant disparities in the various stages of corporate digital transformation. Furthermore, the precise dynamic capabilities required to propel corporate green innovation at distinct stages of this transformation, along with their underlying influencing mechanisms, remain ambiguous. Drawing on dynamic capabilities, this paper delves into the inherent mechanism of corporate green innovation based on the data of listed companies in the Chinese manufacturing industry. The study reaches the following conclusions: (1) The driving process of digital transformation in green innovation exhibits distinct stage characteristics. Digital transformation significantly enhances the quantity of green innovation in the steering period and has a significant impact on both the quantity and quality of green innovation in the shaping and upgrading periods. Moreover, the shaping period has a stronger impact on quantity, while the upgrading period has a stronger impact on quality. (2) There is an evident evolution and upgrading of dynamic capabilities as digital transformation progresses. Among these capabilities, adaptive capability plays a mediating role in the steering period, and innovative capability plays a mediating role in the upgrading period. (3) Top management teams’ environmental attention plays a positive moderating role in digital-transformation-driven green innovation by strengthening absorptive and innovative capabilities. This study reveals the cascading evolution of dynamic capabilities in the digital transformation stage, explores the synergistic effect of top management teams’ environmental attention and specific dynamic capabilities, and provides management strategies for the “quantitative growth and qualitative enhancement” of corporate green innovation.
Assessing the Impact of Voluntary Certification Schemes on Future Sustainable Coffee Production
Authors: Jones Katharine , Njeru Ezekiel Mugendi , Garnett Kenisha , Girkin Nicholas
Published: July 2024

Coffee production faces major sustainability issues and consumers increasingly look to choose certified coffee as awareness grows. While consumers’ understanding of sustainability issues is limited, independent voluntary certification schemes such as Fairtrade, Rainforest Alliance, and certified organic—three high-profile schemes—can play a role in future-proofing coffee production through standard-setting. These schemes can also inform consumers about sustainability issues from economic, environmental, and social perspectives, thus driving up demand for sustainably grown coffee, and supporting an enabling environment for farmers and coffee-producing countries to improve the status quo. Sustainably grown coffee ensures that farmers sustain production while protecting the environment and the income that farmers rely on to maintain their livelihood. Based on a thematic analysis and synthesis of previous studies, this paper examines the social, economic, and environmental effects of voluntary certification schemes for coffee production. It evaluates the current state of coffee production and explores how certification schemes can be effective in encouraging more sustainable practices among producers. Three major voluntary certification schemes are evaluated to identify the impacts on producers, including key barriers and enablers to comply with sustainability standards and to determine how fit-for-purpose certification schemes are in assuring future sustainable coffee production.
Correction: Selema, A. Material Tradeoff of Rotor Architecture for Lightweight Low-Loss Cost-Effective Sustainable Electric Drivetrains. Sustainability 2023, 15, 14413
Authors: Selema Ahmed
Published: July 2024

The author would like to make the following corrections to the published paper [...]
Assessment and Driving Factors of Embodied Carbon Emissions in the Construction Sector: Evidence from 2005 to 2021 in Northeast China
Authors: Sun Xujie , Zhang Xiaocun
Published: July 2024

Reducing embodied carbon emissions in the construction sector is pivotal for achieving sustainable development goals, mainly those related to health and well-being, sustainable cities and communities, and climate action. Hence, it is crucial to delve into the trends and influencing factors of construction-embodied carbon, especially in countries like China, where extensive construction projects are underway. Previous studies have investigated carbon emissions at both national and regional levels, whereas research specific to the construction sector in Northeast China remains limited. This study assessed the embodied carbon of the construction sector in Northeast China from 2005 to 2021. The results indicated that embodied carbon initially rose before declining, peaking at 278.9 MtCO2e in 2012. Based on the Logistic Mean Divided Index (LMDI) approach, the variations in embodied carbon were decomposed into seven driving factors, including emission source structure, embodied carbon intensity, construction mechanization, machinery requirement, industrial structure, economic development, and population scale. While construction mechanization and economic development were identified as primary drivers of the changes in embodied carbon, carbon emission intensity and population scale exerted inhibiting effects on the rise. Moreover, potential strategies for mitigating construction-embodied carbon in Northeast China were delineated, underscoring the regionality across different provinces. The results and suggestions can help foster a low-carbon construction industry from a provincial perspective.
Development and Support of Ukrainian Domestic Entrepreneurship in the Knowledge Economy
Authors: Sitnicki Maksym W. , Horbas Iryna , Derkach Oksana , Flowers Alan , Wielewska Izabela , Tucki Karol , Zuzek Dagmara K. , Pimenov Serhii
Published: July 2024

This paper explores the elements of support and development of entrepreneurship in Ukraine. It suggests that digitalization is an important organizational component in the development of the business sector in the knowledge economy. The authors present a comprehensive study of the most advanced domestic business ecosystems (Diia, UNIT.CITY, Genesis) and highlight their key characteristics, i.e., type of ownership, structure, mission and vision, services for entrepreneurs, investment fund availability, and areas and types of investment. The paper concludes that support for entrepreneurship in Ukraine is based on the principles of efficiency, accessibility, social security, openness, and transparency. Entrepreneurship support is considered as a set of measures of the state-funded and private institutions and organizations aimed at ensuring the sustainable functioning of small and medium-sized business entities and stimulating their development by creating the following favorable conditions: building a competitive environment and increasing competitiveness; fostering investment and innovation efforts; promoting manufactured goods (works, services) or knowledge-based products in domestic and foreign markets; ensuring employment by supporting the citizens’ entrepreneurial initiatives. Areas of public and private support of domestic entrepreneurship include provision of information, consultancy, and special services. Moreover, the paper pays special attention to the forms and methods of supporting businesses and entrepreneurship under martial law in Ukraine in 2022.
Synthesis of 4A Zeolite Molecular Sieves by Modifying Fly Ash with Water Treatment Residue to Remove Ammonia Nitrogen from Water
Authors: Huang Zhuochun , Cai Yuantao , Fan Xiaoling , Ning Kai , Yu Xiaohong , Zheng Shaocheng , Chen Hansong , Xie Yunlong
Published: July 2024

The widespread presence of ammonia nitrogen (NH4+–N) pollutants poses a serious threat to water environment health. In this study, a novel zeolite (WTR–CFA zeolite) with excellent adsorption performance is synthesized using CFA as the raw material and water treatment residue (WTR) as the aluminum source through an ultrasonic–assisted alkali melt hydrothermal method. Compared with traditional CFA–zeolite, WTR–CFA zeolite only generates 4A zeolite with a single crystal phase, and the peak shape is sharp, which results in better crystallization. WTR–CFA zeolite perfectly solves the technical problems of the low utilization rate and poor controllability of the crystal form in traditional artificially synthesized zeolites. The maximum NH4+–N adsorption capacity of WTR–CFA zeolite is 29.80 mg/g, which is higher than that of most adsorbents reported in previous studies. After five cycles of adsorption regeneration, the regeneration efficiency of WTR–CFA zeolite only decreased from 98.84% to 97.12%, which demonstrates excellent environmental value. The adsorption isotherms and kinetics of NH4+–N conform to the Langmuir model and quasi–second order kinetic model, respectively, which indicates that ion–exchange–dominant chemical adsorption plays a major role in the adsorption mechanism. In summary, this study combines the use of CFA and WTR resources with the treatment of aquatic pollution to reduce material synthesis costs, control the crystal structure of WTR–CFA zeolite, and increase adsorption capacity. This approach achieves the goals of “waste treatment and turning waste into treasure”.
Evaluating the Impact of the COVID-19 Pandemic on the Sustainability of International Trade in Agricultural Products in the Context of Crisis Management: An Assessment of the Agricultural Product Exporting Sectors in Antalya, Türkiye
Authors: Yaşar Dinçer Fatma Cande , Yirmibeşoğlu Gözde , Narin Müslüme , Saraç Filiz Elmas
Published: July 2024

This study aims to evaluate the impact of the COVID-19 pandemic on the sustainability of international trade in agricultural products through semi-structured, in-depth interviews, focusing on businesses engaged in agricultural product exports in Antalya within the context of crisis management. While Türkiye ranks tenth in the world and first in Europe in terms of agricultural output, Antalya, one of Türkiye’s most economically significant cities, is among the top contributors to Türkiye’s economy in terms of foreign exchange earnings from agricultural product exports. According to the findings of the study, the COVID-19 pandemic has increased the importance placed on the sustainability of agricultural product export activities. Türkiye’s prioritization of agricultural production and export has allowed the agricultural sector to positively differentiate itself from other sectors during the COVID-19 pandemic, turning the crisis into an opportunity. On the other hand, disruptions in global supply chains and increases in logistics and transportation costs due to the pandemic have led to various challenges to the sustainability of sector activities. Moreover, the economic impacts of the COVID-19 pandemic, such as increases in global and national inflation rates and particularly rising fuel and product prices, have resulted in sustainability problems in the agricultural product export sector’s activities today. To ensure the sustainability of activities in the post-pandemic period, effective crisis management strategies and planning are needed. However, according to the study’s results, the issue of crisis management in the agricultural product export sector has not received sufficient attention. To raise awareness about crisis management and ensure productivity, competitive advantage, and sustainability, increasing government support, establishing sectoral cooperation for joint action, and fostering collaboration between the private sector, public sector, and universities could be beneficial.
Application of the Heat Flow Meter Method and Extended Average Method to Improve the Accuracy of In Situ U-Value Estimations of Highly Insulated Building Walls
Authors: Lee Ye-Ji , Moon Ji-Hoon , Choi Doo-Sung , Ko Myeong-Jin
Published: July 2024

In the context of remodeling old buildings, enhancing insulation performance in the exterior skin necessitates an accurate assessment of a wall’s thermal performance. The conventional method for determining the thermal transmittance (U-value) of a wall is the heat flow meter (HFM) as outlined in the ISO 9869-1. However, this measurement is susceptible to errors influenced by indoor and outdoor environmental conditions and the wall’s material composition. This study evaluates the U-value of an internally insulated wall, specifically constructed for this purpose, utilizing both the average and dynamic methodologies of an HFM. Furthermore, it introduces a novel estimation method: the extended average method (EXAM). The effectiveness of this proposed method is ascertained by comparing the accuracy and convergence of the U-value estimations with those derived from existing methodologies. Additionally, the study explores the limitations of the HFM by analyzing the heat flow traversing the interior of a wall. The findings revealed that the EXAM method enhanced the precision of U-value estimation in all scenarios. Particularly, in walls with superior insulation, the HFM tended to underestimate the heat flow observed indoors, leading to negative errors. The EXAM method, incorporating considerations of both insulation and structural materials, offers an accurate in situ measurement of the U-value relative to the HFM.
Optimization Strategy for the Spatiotemporal Layout of E-Bike Charging Piles from the Perspective of Sustainable Campus Planning: A Case Study of Zijingang Campus of Zhejiang University
Authors: Wang Su , Xie Haihui , Yun Binwei , Pu Xincheng , Qiu Zhi
Published: July 2024

With the expansion of Chinese university campuses, electric bikes (E-bikes) have become the most sustainable and effective commuting option because they are a flexible and energy-saving travel mode. Consequently, campus E-bike charging piles have become one of the most essential public service facilities on campuses. However, since most Chinese campuses are closed and independent, the principles of urban public service facilities cannot be simply applied to the layout and use of campus charging facilities. Thus, this study focuses on Zijingang Campus at Zhejiang University, and proposes an optimization strategy for the spatial and temporal layout of E-bike charging piles on the campus. First, trip chain demand models are constructed to examine the travel patterns of E-bike users on campus and the demands for charging areas and time. Second, a space location model is constructed to locate the charging piles in areas with high demand. Finally, according to the charging times of different users, user charging time is integrated into the strategy. This study enhances the layout and utilization system of campus E-bike charging facilities by considering both temporal and spatial dimensions. Overall, this study contributes to the advancement of sustainable transportation infrastructure planning on a campus-wide scale, offering theoretical insights for the design and utilization of functional facilities in large-scale, semi-enclosed environments (e.g., university campuses).
A Systematic Review of the Most Recent Concepts in Kinetic Shading Systems with a Focus on Biomimetics: A Motion/Deformation Analysis
Authors: Brzezicki Marcin
Published: July 2024

In the context of sustainability and ambitious goals for reducing CO2 emissions, modifying transparency in architecture becomes a crucial tool for managing energy flow into buildings. Kinetic shading systems (KSSs) regulate light and heat entry into a room, thereby reducing energy consumption and CO2 emissions and improving daylight comfort. Recent advancements in KSSs have led to a significant increase in published papers since early 2022. This paper systematically reviews recent technological innovations in KSSs and presents the mechanical principles utilized in these systems. Given the kinetic/mechanical nature of all case studies examined, a categorization based on ‘type of motion and deformation’ was used, ranging from the simplest to the most complex solutions. In the context of kinetic systems, the motion category addresses the displacement (translation, rotation, or both) of rigid façade elements, while deformation describes the transformation that changes the shape of these elements. The data are presented in tabular form, including details about building type, climate zone, research type, evaluation, and before and after values. Additionally, some reviewed systems’ authors drew inspiration from nature, employing biomimetic methods to design KSSs. Despite considerable growth, these solutions still represent only 21% of all analyzed shading system cases. This topic is extensively discussed, considering tropical and nastic plant movements towards this paper’s conclusion. The PRISMA protocol was used to review, screen, select, and retrieve all cited papers. This review covers the most recent publications from 2022 to April 2024, recorded in the WoS and Scopus databases, and includes 66 papers.
Response of Maize (Zea mays L.) to Soil Contamination with Diclofenac, Ibuprofen and Ampicillin and Mixtures of These Drugs
Authors: Biczak Robert , Kierasińska Julia , Jamrozik Wiktoria , Pawłowska Barbara
Published: July 2024

Diclofenac (DIC) and ibuprofen (IBU) are popular non-steroidal anti-inflammatory drugs (NSAIDs), while ampicillin (AMP) is a relatively common antibiotic for treating bacterial infections. All of these drugs are only slightly retained in the human body, and therefore, their presence is found in the environment. In the present study, an attempt was made to determine the effects of diclofenac, ibuprofen and ampicillin on the growth and development of early stages of maize. The drugs were used both separately and in binary mixtures and a ternary mixture. The study found that NSAIDs exhibited the greatest phytotoxicity. Both diclofenac and ibuprofen, applied at the highest doses, reduced the fresh weight yield of maize seedlings relative to the control. Ampicillin, on the other hand, showed no adverse effect on the growth and development of maize seedlings. Analyzing the effect of selected drugs on changes in the content of photosynthetic pigments, it should be noted that they led to a systematic decrease in the content of chlorophylls and carotenoids in maize seedlings. Small changes in the values of the basic parameters of chlorophyll fluorescence may indicate the possibility of stress in maize seedlings.
Research on Zoning and Carbon Sink Enhancement Strategies for Ecological Spaces in Counties with Different Landform Types
Authors: Li Jianfeng , Zhang Yang , Xia Longfei , Wang Jing , Ye Huping , Liu Siqi , Zhang Zhuoying
Published: July 2024

Ecological carbon sinks, pivotal in mitigating carbon emissions, are indispensable for climate change mitigation. Counties, as the fundamental units of ecological space management, directly impact the achievement of regional dual carbon targets through their levels of carbon sink. However, existing research has overlooked the intricate relationship between terrain features and ecological spaces, leading to a lack of specific guidance on enhancing the carbon sink for counties with diverse landform characteristics. This study focused on Jingbian County (Loess Plateau), Fuping County (Guanzhong Plain), and Chenggu County (Qinba Mountains), each characterized by distinct landform characteristics. This study proposes a comprehensive identification model for ecological space within the context of dual carbon targets. Utilizing this model as a basis, the land use structure, carbon sink potential, and ecological spatial patterns of different counties were systematically analyzed. The results indicated substantial disparities in land use structure, carbon sink capabilities, and ecological space distributions among counties with different landform types. Specifically, Jingbian County was predominantly covered by grassland, exhibiting a moderate overall carbon sink capacity, with baseline ecological spaces playing a significant role. Conversely, Fuping County, dominated by cultivated land and construction land, exhibited the lowest carbon sink capacity, with non-ecological spaces accounting for a staggering 85.93%. Chenggu County, on the other hand, was characterized by the dominance of forestland, with nearly all its carbon sink originating from forestland, and core ecological spaces occupying a leading position. Tailored optimization strategies are recommended based on varying terrain features: Jingbian County should prioritize ecosystem restoration and conservation, while Fuping County should concentrate on optimizing land use structure and promoting urban greening. Reinforcing the carbon sink capacity of existing ecosystems is crucial for Chenggu County. This study broadens the perspective on ecological space optimization and provides scientific guidance and pragmatic insights tailored to regional disparities, which are instrumental in assisting various regions to achieve their dual carbon targets.
How Does Government Information Access Interplay with Resources of Emerging Market Small and Medium-Sized Enterprises for Innovation? Evidence from Vietnam
Authors: Kim Yu Ri , Roh Taewoo
Published: July 2024

This study integrates the (extended) resource-based view (ERBV/RBV) and non-market strategy (i.e., corporate political activity) to investigate the role of internal and external resources as drivers of innovation in small and medium-sized enterprises in emerging markets (ESMEs). Using primary data from 192 Vietnam SMEs collected between 2014 and 2016, we adopted a partial least square estimation to examine our hypotheses, supplemented by ordinary least square and unobserved heterogeneity tests for robustness. Our PLS-SEM results reveal that firms with intangible resources, from human capital investment to political connections, are more likely to innovate. While the positive effect of human capital investment on innovation is not moderated by government information access, the impact of political connections as an extended resource is significantly enhanced by access to government information. On the other hand, international export experience is not related to innovation by itself, but it is positively moderated by government information access, suggesting that engaging in international markets alone is insufficient. This study contributes to the emerging market literature by examining the effects of intangible resources and political connections on ESMEs’ innovation and highlighting the role of government information as a non-market strategy access in enhancing these relationships.
New Monotonic Properties for Solutions of Odd-Order Advanced Nonlinear Differential Equations
Authors: Al-Jaser Asma , Qaraad Belgees , Alharbi Faizah , Serra-Capizzano Stefano
Published: July 2024

The present paper studies the asymptotic and oscillatory properties of solutions of odd-order differential equations with advanced arguments and in a noncanonical case. By providing new and effective relationships between the corresponding function and the solution, we present strict and new criteria for testing whether the studied equation exhibits oscillatory behavior or converges to zero. Our results contribute uniquely to oscillation theory by presenting some theorems that improve and expand upon the results found in the existing literature. We also provide an example to corroborate the validity of our proposed criteria.
Crystallographic Quaternions
Authors: Katrusiak Andrzej , Llenga Stiv
Published: July 2024

Symmetry transformations in crystallography are traditionally represented as equations and matrices, which can be suitable both for orthonormal and crystal reference systems. Quaternion representations, easily constructed for any orientations of symmetry operations, owing to the vector structure based on the direction of the rotation axes or of the normal vectors to the mirror plane, are known to be advantageous for optimizing numerical computing. However, quaternions are described in Cartesian coordinates only. Here, we present the quaternion representations of crystallographic point-group symmetry operations for the crystallographic reference coordinates in triclinic, monoclinic, orthorhombic, tetragonal, cubic and trigonal (in rhombohedral setting) systems. For these systems, all symmetry operations have been listed and their applications exemplified. Owing to their concise form, quaternions can be used as the symbols of symmetry operations, which contain information about both the orientation and the rotation angle. The shortcomings of quaternions, including different actions for rotations and improper symmetry operations, as well as inadequate representation of the point symmetry in the hexagonal setting, have been discussed.
High Resilient Asymmetry and Anomaly Detection Based on Data Causality
Authors: Hao Zhiyong , Yu Chenhao , Zhu Junyi , Chang Leilei
Published: July 2024

In the tunnel construction practice, multiple buildings’ tilt rate data are collected. In this study, data causality is defined to reflect the causal relation between the input and output of the building tilt rate detection data. Upon defining and calculating the data causality, a new high resilient causality detection (HiReCau) method is proposed for abnormal building tilt rate detection. A numerical case and another practical case are studied for validation purposes. The case study results show that the proposed HiReCau method can accurately detect high-causality data and low-causality data among the building tilt rate detection data and produces superior results compared with the direct adoption of a machine learning approach. Furthermore, the resilience of HiReCau is validated by investigations testing varied levels of additional low-causality data in the training dataset. Presently, HiReCau is limited to handling problems with a single output. Furthermore, only the back-propagation neural network (BPNN) is tested as the baseline model and there is also room to further expand the data size. The proposed approach is versatile and able to be adjusted to handle fault diagnosis and safety assessment problems in varied theoretical and engineering backgrounds.
Lepton Flavour Universality in Rare B Decays
Authors: Álvarez Cartelle Paula , Williams Richard Morgan
Published: July 2024

Tests of lepton flavour universality in rare decays of b hadrons mediated by flavour-changing neutral-current transitions constitute sensitive probes for physics beyond the standard model. In recent years, such tests have become increasingly precise and have attracted significant theoretical and experimental attention. In this article, we review the status of searches for lepton flavour universality violations in these processes and discuss prospects for future measurements at various facilities.
Isometries to Analyze the Stability of Norm-Based Functional Equations in p-Uniformly Convex Spaces
Authors: Sarfraz Muhammad , Zhou Jiang , Islam Mazhar , Li Yongjin
Published: July 2024

Over the past two decades, significant advancements have been made in understanding the stability according to Hyers–Ulam involving different functional equations (FEs). This study investigates the generalized stability of norm-based (norm-additive) FEs within the framework of arbitrary (noncommutative) groups and p-uniformly convex spaces. Specifically, we analyze two key functional equations, ∥η(gh)∥=∥η(g)+η(h)∥ and ∥η(gh−1)∥=∥η(g)−η(h)∥foreveryg,h∈G, where (G,·) denotes an arbitrary group and B is considered to be a p-uniformly convex space. The surjectivity of the function η:G→B is a critical assumption in our analysis. Drawing upon the foundational works of L. Cheng and M. Sarfraz, this paper applies the large perturbation method tailored for p-uniformly convex spaces, where p≥1. This study extends previous research by offering a deeper exploration of the conditions under which these functional equations demonstrate Hyers–Ulam stability. In this study, the additive functional equation demonstrates a fundamental form of symmetry, where the order of operands does not affect the results. This symmetry under permutation of arguments is crucial for the analysis of stability. In the context of norm-additive FEs, this stability criterion investigates how small changes in the inputs of a functional equation affect the outputs, especially when the function is expected to follow an additive form.
On Asymptotic Equipartition Property for Stationary Process of Moving Averages
Authors: Ren Yuanyuan , Wang Zhongzhi
Published: July 2024

Let {Xn}n∈Z be a stationary process with values in a finite set. In this paper, we present a moving average version of the Shannon–McMillan–Breiman theorem; this generalize the corresponding classical results. A sandwich argument reduced the proof to direct applications of the moving strong law of large numbers. The result generalizes the work by Algoet et. al., while relying on a similar sandwich method. It is worth noting that, in some kind of significance, the indices an and ϕ(n) are symmetrical, i.e., for any integer n, if the growth rate of (an)n∈Z is slow enough, all conclusions in this article still hold true.
Solving a Novel System of Time-Dependent Nuclear Reactor Equations of Fractional Order
Authors: Filali Doaa , Shqair Mohammed , Alghamdi Fatemah A. , Ismaeel Sherif , Hagag Ahmed
Published: July 2024

Building upon the previous research that solved neutron diffusion equations in simplified slab geometry, this study advances the field by addressing the more complex cylindrical geometry, focusing on neutron diffusion equations that are coupled with delayed neutrons in cylindrical reactors of fractional order. The method of solving used integrates the technique of residual power series (RPS) with the Laplace transform (LT) method. Anomalous neutron behavior is explained by examining the non-Gaussian scenario with various fractional parameters α. The LRPSM Laplace transform and residual power series method employed in this approach eliminates the complex difficulties. This simplicity makes the method particularly coherent with different fractional calculus applications. To validate the proposed method, numerical simulations are conducted with two different initial conditions representing distinct scenarios. The obtained results are presented in suitable tables and figures. It should be emphasized that this system is solved for the first time utilizing fractional calculus techniques. The outcomes are consistent with those achieved using the Adomian decomposition method.
Temperature Evaluation Considering Gradient Distribution for MV Cable XLPE Insulation Based on Wave Velocity
Authors: Liu Yan , Liu Jianben , Zhang Longxiang , Liang Yuwei , Zhong Yuyao , Li Yan
Published: July 2024

Temperature is an important factor for the service life of cable insulation. To ensure safety, the operating temperature of cables must be monitored. Since optical fiber temperature measurement technology is difficult to be used widely in medium voltage (MV) cables due to cost, this paper proposes a temperature evaluation method based on wave velocity. Firstly, the dielectric constant of cross-linked polyethylene (XLPE) cable insulation under different temperature is obtained through experiment. Based on the result, the relationship curve between wave velocity and temperature is established. The asymmetry effect due to temperature gradient in the cable insulation is discussed via finite element simulation. The effectiveness of obtaining the average insulation temperature of the cable based on wave velocity is validated. In addition, the mechanism of the temperature influence on the cable insulation material’s dielectric constant is analyzed by molecular dynamics simulation, which further deepens understanding of the characteristics of cable insulation materials.
Effects of Presentation Side and Emotional Valence on Auditory Recognition in Younger and Older Adults
Authors: Prete Giulia , Malatesta Gianluca , D’Anselmo Anita , Palumbo Rocco , Ceccato Irene , La Malva Pasquale , Di Crosta Adolfo , Mammarella Nicola , Tommasi Luca , Di Domenico Alberto
Published: July 2024

(1) Background: It is well-established that older persons compared with younger persons show a bias toward positive valence (a positivity effect), together with less pronounced hemispheric asymmetries, but these topics have been scarcely explored in auditory modality. (2) Methods: We presented auditory stimuli with positive, neutral, or negative emotional valence dichotically to 20 younger and 20 older participants and asked them to memorize the stimuli. In a following session, stimuli were presented binaurally, and participants had to decide whether they were new or already presented in the left/right ear. (3) Results: A higher performance by younger compared with older listeners emerged, but neither the expected Right Ear Advantage nor the positivity effect was confirmed. New stimuli were correctly categorized more frequently if they had neutral valence, whereas stimuli already presented were better recognized with negative rather than neutral or positive valence, without any age difference. (4) Conclusions: These results reveal no hemispheric asymmetries and no age difference in a memory task for auditory stimuli and suggest the existence of a bias to better encode negative content, possibly due to the crucial role of negative stimuli in everyday life.
Some Classes of Bazilevič-Type Close-to-Convex Functions Involving a New Derivative Operator
Authors: Sabir Pishtiwan Othman , Lupas Alina Alb , Khalil Sipal Saeed , Mohammed Pshtiwan Othman , Abdelwahed Mohamed
Published: July 2024

In the present paper, we are merging two interesting and well-known classes, namely those of Bazilevič and close-to-convex functions associated with a new derivative operator. We derive coefficient estimates for this broad category of analytic, univalent and bi-univalent functions and draw attention to the Fekete–Szegö inequalities relevant to functions defined within the open unit disk. Additionally, we identify several specific special cases of our results by specializing the parameters.
On Ozaki Close-to-Convex Functions with Bounded Boundary Rotation
Authors: Sharma Prathviraj , Alharbi Asma , Sivasubramanian Srikandan , El-Deeb Sheza M.
Published: July 2024

In the present investigation, we introduce a new subclass of univalent functions F(u,λ) and a subclass of bi-univalent function Fo,Σ(u,λ) with bounded boundary and bounded radius rotation. Some examples of the functions belonging to the classes F(u,λ) are also derived. For these new classes, the authors derive many interesting relations between these classes and the existing familiar subclasses in the literature. Furthermore, the authors establish new coefficient estimates for these classes. Apart from the above, the first two initial coefficient bounds for the class Fo,Σ(u,λ) are established.
Comparative Evaluation of Select Serological Assays for Zika Virus Using Blinded Reference Panels
Authors: Emperador Devy M. , Stone Mars , Grebe Eduard , Escadafal Camille , Dave Honey , Lackritz Eve , Kelly-Cirino Cassandra , Rabe Ingrid , Rojas Diana P. , Busch Michael P. , Simmons Graham
Published: July 2024

In response to the 2015 Zika virus (ZIKV) epidemic that occurred in Brazil, numerous commercial serological assays have been developed for clinical and research applications. Diagnosis of recent infection in pregnant women remains challenging. Having standardized, comparative studies of ZIKV tests is important for implementing optimal diagnostic testing and disease surveillance. This is especially important for serology tests used to detect ZIKV infection given that antibodies against ZIKV can cross-react with other arboviruses in the same virus family, such as dengue virus (DENV), yellow fever virus (YFV) and West Nile virus (WNV). We looked at the sensitivity and specificity of tests detecting ZIKV antibodies (IgM, IgG) from multiple manufacturers using panels of samples previously collected with known exposure to ZIKV and other arboviruses. We found that performance of the IgM tests was highly variable, with only one test (Inbios 2.0 IgM capture ELISA) having both high sensitivity and specificity. All IgG tests showed good sensitivity; however, specificity was highly variable, with some assays giving false-positive results on samples infected by another flavivirus. Overall, the results confirmed that accurate ZIKV antibody testing is challenging, especially in specimens from regions endemic for multiple other flaviviruses, and highlight the importance of available and suitable reference samples to evaluate ZIKV diagnostics.
Intranasal Immunization of Pneumococcal pep27 Mutant Attenuates Allergic and Inflammatory Diseases by Upregulating Skin and Mucosal Tregs
Authors: Iqbal Hamid , Rhee Dong-Kwon
Published: July 2024

Conventional immunization methods such as intramuscular injections lack effective mucosal protection against pathogens that enter through the mucosal surfaces. Moreover, conventional therapy often leads to adverse events and compromised immunity, followed by complicated outcomes, leading to the need to switch to other options. Thus, a need to develop safe and effective treatment with long-term beneficial outcomes to reduce the risk of relapse is mandatory. Mucosal vaccines administered across mucosal surfaces, such as the respiratory or intestinal mucosa, to prompt robust localized and systemic immune responses to prevent the public from acquiring pathogenic diseases. Mucosal immunity contains a unique immune cell milieu that selectively identify pathogens and limits the transmission and progression of mucosal diseases, such as allergic dermatitis and inflammatory bowel disease (IBD). It also offers protection from localized infection at the site of entry, enables the clearance of pathogens on mucosal surfaces, and leads to the induction of long-term immunity with the ability to shape regulatory responses. Regulatory T (Treg) cells have been a promising strategy to suppress mucosal diseases. To find advances in mucosal treatment, we investigated the therapeutic effects of intranasal pep27 mutant immunization. Nasal immunization protects mucosal surfaces, but nasal antigen presentation appears to entail the need for an adjuvant to stimulate immunogenicity. Here, a novel method is developed to induce Tregs via intranasal immunization without an adjuvant to potentially overcome allergic diseases and gut and lung inflammation using lung–gut axis communication in animal models. The implementation of the pep27 mutant for these therapies should be preceded by studies on Treg resilience through clinical translational studies on dietary changes.
The Protective Efficacy of a SARS-CoV-2 Vaccine Candidate B.1.351V against Several Variant Challenges in K18-hACE2 Mice
Authors: Yang Jie , Fan Huifen , Yang Anna , Wang Wenhui , Wan Xin , Lin Fengjie , Yang Dongsheng , Wu Jie , Wang Kaiwen , Li Wei , Cai Qian , You Lei , Pang Deqin , Lu Jia , Guo Changfu , Shi Jinrong , Sun Yan , Li Xinguo , Duan Kai , Shen Shuo , Meng Shengli , Guo Jing , Wang Zejun
Published: July 2024

The emergence of SARS-CoV-2 variants of concern (VOCs) with increased transmissibility and partial resistance to neutralization by antibodies has been observed globally. There is an urgent need for an effective vaccine to combat these variants. Our study demonstrated that the B.1.351 variant inactivated vaccine candidate (B.1.351V) generated strong binding and neutralizing antibody responses in BALB/c mice against the B.1.351 virus and other SARS-CoV-2 variants after two doses within 28 days. Immunized K18-hACE2 mice also exhibited elevated levels of live virus-neutralizing antibodies against various SARS-CoV-2 viruses. Following infection with these viruses, K18-hACE2 mice displayed a stable body weight, a high survival rate, minimal virus copies in lung tissue, and no lung damage compared to the control group. These findings indicate that B.1.351V offered protection against infection with multiple SARS-CoV-2 variants in mice, providing insights for the development of a vaccine targeting SARS-CoV-2 VOCs for human use.
Advancing Hydrology through Machine Learning: Insights, Challenges, and Future Directions Using the CAMELS, Caravan, GRDC, CHIRPS, PERSIANN, NLDAS, GLDAS, and GRACE Datasets
Authors: Hasan Fahad , Medley Paul , Drake Jason , Chen Gang
Published: July 2024

Machine learning (ML) applications in hydrology are revolutionizing our understanding and prediction of hydrological processes, driven by advancements in artificial intelligence and the availability of large, high-quality datasets. This review explores the current state of ML applications in hydrology, emphasizing the utilization of extensive datasets such as CAMELS, Caravan, GRDC, CHIRPS, NLDAS, GLDAS, PERSIANN, and GRACE. These datasets provide critical data for modeling various hydrological parameters, including streamflow, precipitation, groundwater levels, and flood frequency, particularly in data-scarce regions. We discuss the type of ML methods used in hydrology and significant successes achieved through those ML models, highlighting their enhanced predictive accuracy and the integration of diverse data sources. The review also addresses the challenges inherent in hydrological ML applications, such as data heterogeneity, spatial and temporal inconsistencies, issues regarding downscaling the LSH, and the need for incorporating human activities. In addition to discussing the limitations, this article highlights the benefits of utilizing high-resolution datasets compared to traditional ones. Additionally, we examine the emerging trends and future directions, including the integration of real-time data and the quantification of uncertainties to improve model reliability. We also place a strong emphasis on incorporating citizen science and the IoT for data collection in hydrology. By synthesizing the latest research, this paper aims to guide future efforts in leveraging large datasets and ML techniques to advance hydrological science and enhance water resource management practices.
Mechanism of Biological Transport and Transformation of Copper, Cadmium, and Zinc in Water by Chlorella
Authors: Liu Shaomin , Jiang Mengyu , Wu Jiating , Li Xiaofeng , Zhu Jinglin
Published: July 2024

This study investigates the effectiveness of Chlorella vulgaris in treating copper, cadmium, and zinc in aqueous solutions; the aim of this study was to examine the effects of various factors on the adsorption capacity of Chlorella in water. This study explored the intra- and extracellular adsorption and accumulation patterns of copper (Cu(II)), cadmium (Cd(II)), and zinc (Zn(II)), revealing their molecular response mechanisms under the most suitable conditions. The adsorption capacity of Chlorella to Cu(II), Cd(II), and Zn(II) in water was 93.63%, 73.45%, and 85.41%, respectively. The adsorption mechanism for heavy metals is governed by both intracellular and extracellular diffusion, with intracellular absorption serving as a supplement and external uptake predominating. XRD, XPS, FTIR, SEM-EDX, and TEM-EDX analyses showed that there would be the formation of precipitates such as Cu2S, CuS2, CdS, and ZnSO4. The adsorption of Cu(II) involves its simultaneous reduction to Cu(I). Moreover, specific functional groups present on the cellular surface, such as amino, carboxyl, aldehyde, and ether groups, interact with heavy metal ions. In view of its efficient heavy metal adsorption capacity and biosafety, this study recommends Chlorella as a potential biosorbent for the bioremediation and environmental treatment of heavy metal contaminated water in the future.
A Statistical Approach for the Assessment of Saturated Hydraulic Conductivity Values of Unsaturated Urban Soils Obtained by Field Infiltration Tests
Authors: Ghibus Traian , Gaitanaru Dragos
Published: July 2024

An evaluation and interpretation of the obtained results focusing the hydraulic conductivity of anthropogenic saturated soil, k, has been performed on an urban area vadose zone. Four methods have been used to quantify the hydraulic conductivity: the tube infiltrometer (TI), the double ring infiltrometer (DRI), the minidisk infiltrometer (MDI) and the inversed auger (IA). This study comprises (a) a comparative analysis of the results obtained by each method between several trials performed at the same location and at distinct locations within the plot, (b) a comparative analysis of the results of all methods, and (c) a statistical analysis regarding the correlation between k as a dependent variable and the infiltration area A as the main independent variable. To select the k values close or corresponding to the saturation state for TI and IA methods, a domain of validity was defined. A new parameter, k* = k/A, was introduced which represents the hydraulic conductivity corresponding to an infiltration surface unit (1 cm2). An increase in this ratio with the increase in the infiltration area, within the same method or between different methods, indicates the heterogeneity of the terrain but especially the fact that the infiltration area no longer represents the main independent variable on which the hydraulic conductivity depends for the saturated state.
THE EFFECT OF PRE-CONCEPTIONAL NUTRITION EDUCATION ON INCREASING KNOWLEDGE IN PRE-MARRIAGE WOMEN IN GARUT DISTRICT
Authors: Sandy Aulia Putri , Resmana Rika , Noviani Fadilah Lola
Published: July 2024

Introduction: Many nutritional problems are associated with high maternal and child morbidity rates. Maternal health status is a determinant of the quality of future generations, so it is important to improve the nutritional quality of women early on. Pre-marital women are a priority for health improvement because they are in the pre-conception period. This is a crucial period because it will determine the quality of the pregnancy and the welfare of the baby being born. Knowledge as a factor that determines concern for the fulfillment of balanced nutrition. Special efforts through preconception nutrition education for brides and grooms need to be made in order to achieve a healthy family and quality offspring. The purpose of this study was to determine whether there was an increase in knowledge through pre-conceptional nutrition education for women of premarital childbearing age in Garut district.
Objectives: The number of respondents in this study were 30 people selected by purposive sampling method. The data analysis used is the T-dependent statistical test because the data is normally distributed.
Method: This study used a pre-experimental design with one group pre-posttest design. The population in this study were women of childbearing age who had planned a wedding in Garut district.
Result:  The results showed that preconception nutrition education had a significant effect (p value = 0.000) on knowledge with an average increase of 1.77. 
Conclusion: It is recommended that the health office and the ministry of religion organize nutrition education activities for premarital women in preparing for a healthy pregnancy.