bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Additive Manufacturing in the Automobile Industry: A Mini Review
Authors: Yang Jian , Li Bo , Liu Jian , Tu Zhantong , Wu Xin
Published: May 2024

The automobile industry is recognized as one of the most influential sectors shaping global economies, societies, and individual lifestyles. Therefore, fierce competition among different companies is continuously undergoing, and special attention is focused on innovations to improve competitiveness. In the past several years, additive manufacturing (AM) has emerged as an innovative technology in applications in the automobile industry with significant advantages over traditional techniques. As a result, increasing efforts have been paid to combining AM technology with the development of the automobile industry. Currently, many automobile players are optimizing their industrial layout by incorporating innovative AM techniques, and meanwhile, a lot of research progress has been achieved in order to meet the market demand. This article aims at presenting a timely review to conclude the recent advances in the application of AM techniques in the automobile industry, focusing on the available AM techniques, printable materials, and industry applications, based on which the advantages and disadvantages of each technique and material system are discussed in order to reveal the current application situation. The current research gaps and challenges are also outlined to indicate future research opportunities. Hopefully, this work can be useful to related researchers as well as game players in the industry of this field.
Target Tracking Two Degrees of Freedom State Feedback Control for Continuous Flow Microfluidic Chips Temperature Controller
Authors: Jiang Yuqi , Liu Yang , Xue Yuxiong , Jiang Wei , Hashimoto Seiji
Published: May 2024

Microfluidic chips represent a cutting-edge technology for manipulating fluids within micrometer-scale spaces and are gradually becoming a new favorite platform in life science research. Precise and fast zonal temperature control is essential for accelerating biological experiments. However, current multi-channel temperature controllers typically rely on multiple channel sets to achieve single set-point control, which results in discrepancies between the fluid temperature distribution and sensor temperature due to the distributed temperature field in the fluid channel. To estimate the actual temperature and implement gradient temperature control, this paper introduces an extension of the target tracking (TT) two degrees of freedom (2DOF) state feedback control (SFC) method, followed by a presentation of simulation and experimental results. Through comparisons with an enhanced PID system in both simulation and experimentation, the paper demonstrates an 8.96% reduction in the maximum temperature difference across different regions and a 27.89% decrease in the time taken to reach various temperatures. This solution effectively addresses the existing challenges in temperature control for microfluidic chips, offering a more precise and stable control within the desired temperature range.
Organic Waste for Bioelectricity Generation in Microbial Fuel Cells: Effects of Feed Physicochemical Characteristics
Authors: Parwate Shubham Arun , Xue Wenchao , Koottatep Thammarat , Salam Abdul
Published: May 2024

Food waste (FW), piggery waste (PW), and activated sludge (AS) were investigated as potential organic feeds for bioelectricity generation in laboratory-scale microbial fuel cells (MFCs). The MFCs fed by FW gained the highest maximum power density at 7.25 W/m3, followed by those fed by PW at 3.86 W/m3 and AS at 1.54 W/m3. The tCOD removal in the FW-, PW-, and AS-MFCs reached 76.9%, 63.9%, and 55.22%, respectively, within a 30-day retention time. Food waste, which resulted in the highest power density and tCOD removal, was selected for a series of following tests to investigate the effects of some physicochemical properties of organic feed on the performance of MFCs. The effect of feed particle size was tested with three controlled size ranges (i.e., 3, 1, and <1 mm) in MFCs. A smaller feed particle size provided a higher power density of 7.25 W/m3 and a tCOD removal of 76.9% compared to the MFCs fed with organic waste with a larger particle size. An increment in feed moisture from 70% to 90% improved the maximum power density from 7.2 to 8.5 W/m3, with a 17.5% enhancement, and improved the tCOD removal from 75.8% to 83.3%, with a 10.0% enhancement. A moderate C/N ratio of approximately 30/1 maximized the power density and COD removal (7.25 W/m3 and 81.73%) in the MFCs compared to C/N ratios of 20/1 (4.0 W/m3 and 64.14%) and 45/1 (4.38 W/m3 and 71.34%).
Polyhydroxyalkanoate Production by Actinobacterial Isolates in Lignocellulosic Hydrolysate
Authors: Mabasa Dzunani , Ranjan Amrita , Le Roes-Hill Marilize , Mthethwa Thandekile , Welz Pamela Jean
Published: May 2024

Polyhydroxyalkanoate (PHA) polymers are environmentally friendly alternatives to conventional plastics. In support of a circular bioeconomy, they can be produced by growing microbial strains in waste materials, including lignocellulosic biomass, such as Canola fines (straw). In this study, PHA and polyhydroxybutyrate (PHB) production by a selection of seven wild-type actinobacterial strains, including three strains of Gordonia species, were assessed. When grown in defined media and hydrolysates of Canola fines, the highest amounts of PHB were produced by Nocardia gamkensis CZH20T (0.0476 mg/mL) and Gordonia lacunae BS2T (0.0479 mg/mL), respectively. Six strains exhibited a substrate preference for cellobiose over glucose, xylose, and arabinose in the hydrolysates. Analysis of Fourier transform infrared spectra indicated that the strains produced co-polymers of short- and medium-chain-length PHAs. None of the core phaABC genes were found on defined operons in the genomes of the top PHB-producing strains (all Gordonia strains, N. gamkensis CZH20T, and Streptomyces sp. strain HMC19). The Gordonia strains all harbored three phaA genes, a single phaB gene, and, with the exception of strain BG1.3 (with two predicted phaC genes), a single phaC gene. Predictive analyses of the proteins likely to be translated from the phaC genes revealed PhaC proteins of 37.7–39.2 kDa from Gordonia sp. strain BG1.3, G. lacunae BS2T, and N. gamkensis CZH20T; PhaC proteins of 106.5–107 kDa from Gordonia sp. strain JC51; and the second PhaC from Gordonia sp. strain BG1.3 and N. gamkensis CZH20T, possibly representing a new class of PHA synthases.
The Architectural Christian Spolia in Early Medieval Iberia: Reflections between Material Reuse and Cultural Appropriation
Authors: Daza-Pardo Enrique , Catalán-Ramos Raúl
Published: May 2024

The reuse of construction materials has been a consistent practice throughout the history of architecture, especially prevalent during periods of transition when it was preferred for its ability to simplify installation and reduce construction costs. This practice was particularly common in late Roman urban contexts, where construction materials, especially ashlar and sculptural elements, were abundant following the abandonment of temples and public buildings. However, there are occasions when the use of spolia, or reused materials, goes beyond simple material recycling. The reuse and display of certain pieces carry complex implications involving symbology, cultural appropriation, or collective memory exercises that convey messages through new buildings. In this paper, we focus on the unique case of Hispanic Christian architectural sculptures that were “recycled” in new buildings during the first centuries of Islamic domination of the Iberian Peninsula, specifically within places of worship. Through a general analysis and review of some examples, we aim to reflect on the motivations and intentionality behind the use of certain sculptural pieces and their placement in new buildings, which is not arbitrary.
First Analyses of the TIMELINE AVHRR SST Product: Long-Term Trends of Sea Surface Temperature at 1 km Resolution across European Coastal Zones
Authors: Reiners Philipp , Obrecht Laura , Dietz Andreas , Holzwarth Stefanie , Kuenzer Claudia
Published: May 2024

Coastal areas are among the most productive areas in the world, ecologically as well as economically. Sea Surface Temperature (SST) has evolved as the major essential climate variable (ECV) and ocean variable (EOV) to monitor land–ocean interactions and oceanic warming trends. SST monitoring can be achieved by means of remote sensing. The current relatively coarse spatial resolution of established SST products limits their potential in small-scale, coastal zones. This study presents the first analysis of the TIMELINE 1 km SST product from AVHRR in four key European regions: The Northern and Baltic Sea, the Adriatic Sea, the Aegean Sea, and the Balearic Sea. The analysis of monthly anomaly trends showed high positive SST trends in all study areas, exceeding the global average SST warming. Seasonal variations reveal peak warming during the spring, early summer, and early autumn, suggesting a potential seasonal shift. The spatial analysis of the monthly anomaly trends revealed significantly higher trends at near-coast areas, which were especially distinct in the Mediterranean study areas. The clearest pattern was visible in the Adriatic Sea in March and May, where the SST trends at the coast were twice as high as that observed at a 40 km distance to the coast. To validate our findings, we compared the TIMELINE monthly anomaly time series with monthly anomalies derived from the Level 4 CCI SST anomaly product. The comparison showed an overall good accordance with correlation coefficients of R > 0.82 for the Mediterranean study areas and R = 0.77 for the North and Baltic Seas. This study highlights the potential of AVHRR Local Area Coverage (LAC) data with 1 km spatial resolution for mapping long-term SST trends in areas with high spatial SST variability, such as coastal regions.
Analysis of Road Surface Texture for Asphalt Pavement Adhesion Assessment Using 3D Laser Technology
Authors: Liang Haimei , Pagano Rosa Giovanna , Oddone Stefano , Cong Lin , De Blasiis Maria Rosaria
Published: May 2024

Pavement adhesion plays a crucial role in driving safety, while traditional test methods exhibit some limitations. To improve the efficiency and accuracy of asphalt pavement texture characterization and adhesion assessments, this paper uses three-dimensional (3D) laser technology to detect the continuous point cloud data of road surface and reconstruct the 3D topography of pavement texture. On this basis, a volume parameter Volume of peak materials (Vmp) is innovatively proposed to comprehensively characterize the 3D spatial characteristics of road surface texture. The correlation analysis between the proposed Vmp and the traditional adhesion evaluation index Transversal Adhesion Coefficient (CAT) is conducted, and then refined graded adhesion prediction models based on the proposed Vmp are proposed. Results show that the proposed volume parameter Vmp can reliably and accurately characterize the asphalt pavement texture by considering more structural properties of the road surface texture. According to the research findings of this paper, it is feasible to achieve rapid and correct assessment of asphalt pavement adhesion using 3D laser detection technology by comprehensively considering the 3D characteristics of the road surface texture.
Directivity and Excitability of Ultrasonic Shear Waves Using Piezoceramic Transducers—Numerical Modeling and Experimental Investigations
Authors: Aleksiewicz-Drab Emil , Ziaja-Sujdak Aleksandra , Radecki Rafał , Staszewski Wiesław J.
Published: May 2024

In this paper, piezoceramic-based excitation of shear horizontal waves is investigated. A thickness-shear d15 piezoceramic transducer is modeled using the finite-element method. The major focus is on the directivity and excitability of the shear horizontal fundamental mode with respect to the maximization of excited shear and minimization of Lamb wave modes. The results show that the geometry of the transducer has more effect on the directivity than on the excitability of the analyzed actuator. Numerically simulated results are validated experimentally. The experimental results show that transducer bonding significantly affects the directivity and amplitude of the excited modes. In conclusion, when the selected actuator is used for shear excitation, the best solution is to tailor the transducer in such a way that at the resonant frequency the desired directivity is achieved.
EEG Emotion Recognition Network Based on Attention and Spatiotemporal Convolution
Authors: Zhu Xiaoliang , Liu Chen , Zhao Liang , Wang Shengming
Published: May 2024

Human emotions are complex psychological and physiological responses to external stimuli. Correctly identifying and providing feedback on emotions is an important goal in human–computer interaction research. Compared to facial expressions, speech, or other physiological signals, using electroencephalogram (EEG) signals for the task of emotion recognition has advantages in terms of authenticity, objectivity, and high reliability; thus, it is attracting increasing attention from researchers. However, the current methods have significant room for improvement in terms of the combination of information exchange between different brain regions and time–frequency feature extraction. Therefore, this paper proposes an EEG emotion recognition network, namely, self-organized graph pesudo-3D convolution (SOGPCN), based on attention and spatiotemporal convolution. Unlike previous methods that directly construct graph structures for brain channels, the proposed SOGPCN method considers that the spatial relationships between electrodes in each frequency band differ. First, a self-organizing map is constructed for each channel in each frequency band to obtain the 10 most relevant channels to the current channel, and graph convolution is employed to capture the spatial relationships between all channels in the self-organizing map constructed for each channel in each frequency band. Then, pseudo-three-dimensional convolution combined with partial dot product attention is implemented to extract the temporal features of the EEG sequence. Finally, LSTM is employed to learn the contextual information between adjacent time-series data. Subject-dependent and subject-independent experiments are conducted on the SEED dataset to evaluate the performance of the proposed SOGPCN method, which achieves recognition accuracies of 95.26% and 94.22%, respectively, indicating that the proposed method outperforms several baseline methods.
MCML-BF: A Metal-Column Embedded Microstrip Line Transmission Structure with Bias Feeders for Beam-Scanning Leakage Antenna Design
Authors: Hou Shunhu , Fang Shengliang , Fan Youchen , Li Yuhai , Ma Zhao , Li Jinming
Published: May 2024

This article proposes a novel fixed-frequency beam scanning leakage antenna based on a liquid crystal metamaterial (LCM) and adopting a metal column embedded microstrip line (MCML) transmission structure. Based on the microstrip line (ML) transmission structure, it was observed that by adding two rows of metal columns in the dielectric substrate, electromagnetic waves can be more effectively transmitted to reduce dissipation, and attenuation loss can be lowered to improve energy radiation efficiency. This antenna couples TEM mode electromagnetic waves into free space by periodically arranging 72 complementary split ring resonators (CSRRs). The LC layer is encapsulated in the transmission medium between the ML and the metal grounding plate. The simulation results show that the antenna can achieve a 106° continuous beam turning from reverse −52° to forward 54° at a frequency of 38 GHz with the holographic principle. In practical applications, beam scanning is achieved by applying a DC bias voltage to the LC layer to adjust the LC dielectric constant. We designed a sector-blocking bias feeder structure to minimize the impact of RF signals on the DC source and avoid the effect of DC bias on antenna radiation. Further comparative experiments revealed that the bias feeder can significantly diminish the influence between the two sources, thereby reducing the impact of bias voltage introduced by LC layer feeding on antenna performance. Compared with existing approaches, the antenna array simultaneously combines the advantages of high frequency band, high gain, wide beam scanning range, and low loss.
SEISMONOISY: A Quasi-Real-Time Seismic Noise Network Monitoring System
Authors: Ruzza Giuseppe , Cogliano Rocco , D’Ambrosio Ciriaco , Falco Luigi , Cardinale Vincenzo , Minichiello Felice , Memmolo Antonino , Castagnozzi Angelo , De Luca Giovanni , Vicari Annamaria
Published: May 2024

This paper introduces SEISMONOISY, an application designed for monitoring the spatiotemporal characteristic and variability of the seismic noise of an entire seismic network with a quasi-real-time monitoring approach. Actually, we have applied the developed system to monitor 12 seismic networks distributed throughout the Italian territory. These networks include the Rete Sismica Nazionale (RSN) as well as other regional networks with smaller coverage areas. Our noise monitoring system uses the methods of Spectral Power Density (PSD) and Probability Density Function (PDF) applied to 12 h long seismic traces in a 24 h cycle for each station, enabling the extrapolation of noise characteristics at seismic stations after a Seismic Noise Level Index (SNLI), which takes into account the global seismic noise model, is derived. The SNLI value can be used for different applications, including network performance evaluation, the identification of operational problems, site selection for new installations, and for scientific research applications (e.g., volcano monitoring, identification of active seismic sequences, etc.). Additionally, it aids in studying the main noise sources across different frequency bands and changes in the characteristics of background seismic noise over time.
High-Precision Fiber Noise Detection and Comparison over a 260 km Field Fiber Link
Authors: Zang Qi , Zhang Xiang , Wang Dan , Zhou Qian , Fan Le , Zhang Yucan , Yuan Ru , Gao Jing , Jiao Dongdong , Xu Guanjun , Liu Tao , Dong Ruifang , Zhang Shougang
Published: May 2024

In this paper, we present a high-precision optical frequency noise detection and comparison technique using a two-way transfer method over a 260 km field fiber link. This method allows for the comparison of optical frequencies between remote optical references without the need for data transfer through communication. We extend a previously established two-way comparison technique to obtain all data at the local site. Two optical carrier signals are injected into the bidirectional fiber from both ends, and one carrier is reflected back from the remote end. This enables the phase comparison of the two carrier signals at a single site without the need to transmit experimental data. The common-mode frequency noise induced by the bidirectional fiber link is detected and effectively suppressed without the need for sophisticated active fiber noise control. Our demonstration system, which uses a 260 km field fiber link and a common laser source, achieves a fractional instability of 2.5×10−17 at 1 s averaging time and scales down to 3.5×10−21 at 8000 s. This scheme offers the distinct advantage of completing the comparison at a single site, eliminating the need for remote data transfer via communication. This method is expected to enhance reliability for high-precision frequency comparisons between remote optical clocks and advanced atomic clocks.
Towards Generating Authentic Human-Removed Pictures in Crowded Places Using a Few-Second Video
Authors: Lee Juhwan , Lee Euihyeok , Kang Seungwoo
Published: May 2024

If we visit famous and iconic landmarks, we may want to take a photo of them. However, such sites are usually crowded, and taking photos with only landmarks without people could be challenging. This paper aims to automatically remove people in a picture and produce a natural image of the landmark alone. To this end, it presents Thanos, a system to generate authentic human-removed images in crowded places. It is designed to produce high-quality images with reasonable computation cost using short video clips of a few seconds. For this purpose, a multi-frame-based recovery region minimization method is proposed. The key idea is to aggregate information partially available from multiple image frames to minimize the area to be restored. The evaluation result presents that the proposed method outperforms alternatives; it shows lower Fréchet Inception Distance (FID) scores with comparable processing latency. It is also shown that the images by Thanos achieve a lower FID score than those of existing applications; Thanos’s score is 242.8, while those by Retouch-photos and Samsung object eraser are 249.4 and 271.2, respectively.
Current and Near-Term Earth-Observing Environmental Satellites, Their Missions, Characteristics, Instruments, and Applications
Authors: Ustin Susan L. , Middleton Elizabeth McPhee
Published: May 2024

Among the essential tools to address global environmental information requirements are the Earth-Observing (EO) satellites with free and open data access. This paper reviews those EO satellites from international space programs that already, or will in the next decade or so, provide essential data of importance to the environmental sciences that describe Earth’s status. We summarize factors distinguishing those pioneering satellites placed in space over the past half century, and their links to modern ones, and the changing priorities for spaceborne instruments and platforms. We illustrate the broad sweep of instrument technologies useful for observing different aspects of the physio-biological aspects of the Earth’s surface, spanning wavelengths from the UV-A at 380 nanometers to microwave and radar out to 1 m. We provide a background on the technical specifications of each mission and its primary instrument(s), the types of data collected, and examples of applications that illustrate these observations. We provide websites for additional mission details of each instrument, the history or context behind their measurements, and additional details about their instrument design, specifications, and measurements.
Sperm YOLOv8E-TrackEVD: A Novel Approach for Sperm Detection and Tracking
Authors: Zhang Chongming , Zhang Yaxuan , Chang Zhanyuan , Li Chuanjiang
Published: May 2024

Male infertility is a global health issue, with 40–50% attributed to sperm abnormalities. The subjectivity and irreproducibility of existing detection methods pose challenges to sperm assessment, making the design of automated semen analysis algorithms crucial for enhancing the reliability of sperm evaluations. This paper proposes a comprehensive sperm tracking algorithm (Sperm YOLOv8E-TrackEVD) that combines an enhanced YOLOv8 small object detection algorithm (SpermYOLOv8-E) with an improved DeepOCSORT tracking algorithm (SpermTrack-EVD) to detect human sperm in a microscopic field of view and track healthy sperm in a sample in a short period effectively. Firstly, we trained the improved YOLOv8 model on the VISEM-Tracking dataset for accurate sperm detection. To enhance the detection of small sperm objects, we introduced an attention mechanism, added a small object detection layer, and integrated the SPDConv and Detect_DyHead modules. Furthermore, we used a new distance metric method and chose IoU loss calculation. Ultimately, we achieved a 1.3% increase in precision, a 1.4% increase in recall rate, and a 2.0% improvement in mAP@0.5:0.95. We applied SpermYOLOv8-E combined with SpermTrack-EVD for sperm tracking. On the VISEM-Tracking dataset, we achieved 74.303% HOTA and 71.167% MOTA. These results show the effectiveness of the designed Sperm YOLOv8E-TrackEVD approach in sperm tracking scenarios.
Pursuing Dreams, Confronting Paradoxes: Palestinian Students in Israeli Institutions
Authors: Diab Al-Khansaa
Published: May 2024

Through an immersive qualitative exploration, we delve into the narratives of East Jerusalem’s Palestinian students as they navigate the complexities of an Israeli teacher training college. Workshops and artistic expression unearth their aspirations, challenges, and coping strategies within a labyrinthine educational landscape. Our findings illuminate their indomitable spirit and unwavering pursuit of dreams despite isolation, discrimination, and the ever-present Israeli–Palestinian conflict. This study contributes to understanding minority students’ experiences in higher education, particularly those in conflict-ridden regions. Drawing upon Resilience Theory, Social Identity Theory, Critical Race Theory, and Cross-Cultural Psychology, we weave a multi-dimensional framework elucidating factors shaping academic achievements, identity formation, and psychological well-being. The fruits of this research empower educators and policymakers to nurture resilience and inclusivity among diverse student populations navigating tempestuous waters. Amplifying Palestinian students’ voices, our work stands as a clarion call for equity and social justice in education, even amidst adversity. We underscore the paramount importance of tailored support systems and interventions, illuminating education’s transformative potential as a catalyst for positive change within communities gripped by conflict.
Listening to Stakeholders’ Voices on Funding Social Inclusion in Sport for People with Disabilities—Proposal for Criteria
Authors: Campos Maria João , Pečnikar Oblak Viktorija , Massart Alain , Ljubotina Predrag , Perényi Szilvia , Farkas Judit , Sarmento Hugo , Doupona Mojca
Published: May 2024

The value of sport is extensively documented; however, there are still groups who do not have the opportunity to enjoy the benefits of sport due to lack of investment, particularly important for people with disabilities. A gap persists in understanding the effectiveness of inclusive sport programs in addressing equity-related targets, particularly on the effective methods of financing inclusion in sport for individuals with disabilities. Therefore, providing a platform for stakeholders to express their perspectives becomes crucial. Through focus groups and the World Café approach, the aim of this study was to gather insights from athletes, parents, professionals, and sport club managers regarding the funding of inclusive sport for people with disabilities. A total of 72 participants took part in nine focus groups in Portugal, Slovenia, and Hungary: 27 athletes with disabilities, 22 coaches, other technicians and parents, and 23 club managers/directors. Findings were divided into five topics: (1) perspectives on current funding satisfaction; (2) perspectives on sources and criteria for funding; (3) perspectives on ideal funding; (4) perspectives on ideas to reach decision-makers; and (5) proposals on ideal criteria for funding. Based on these findings, six measurable criteria for fair funding allocation were suggested that could develop a properly weighted system of criteria for decision-makers to assess the allocation of funding among inclusive sport organizations with the potential to catalyze broader policy and societal changes. Additionally, there is a pressing need to develop a funding model for inclusive sport for individuals with disabilities.
Determinants of Smallholder Farmers’ Decisions to Use Multiple Climate-Smart Agricultural Technologies in North Wello Zone, Northern Ethiopia
Authors: Zeleke Getnet , Teshome Menberu , Ayele Linger
Published: May 2024

Climate change presents significant challenges to agriculture in developing nations, affecting farmers’ livelihoods and food security. In Ethiopia, agriculture is crucial to the economy and the well-being of millions. This study focuses on analyzing the determinants that affect smallholder farmers’ adoption of climate-smart agriculture (CSA) technologies in the North Wello administrative zone, northern Ethiopia. Through multivariate and ordered probit econometric models, data from 411 rural household heads were analyzed. Results reveal the synergy among climate-smart agricultural practices in rainfed farming systems, essential for crafting a comprehensive CSA package within an agroecological framework. The multivariate probit estimation results show that education, membership in local organizations, farm size, tropical livestock unit (TLU), irrigated land ownership, plot number, steep slope, farmland distance to home, and access to a local media source are positive determinants for the decision to use the type and several climate-smart agricultural practices. Lack of credit, large family size, distance from extension services, and proximity to the nearest market were all associated with lower adoption of all CSA technologies. The findings suggest that blanket recommendations for climate-smart agricultural technologies for smallholder farmers can be avoided. The complementarities that exist between CSA technologies may require further investigation into how such complementarities have benefits in terms of improving land productivity and food security and reducing climate-related risks for smallholder farmers in Ethiopia and other contexts. Moreover, by emphasizing an agroecological framework, the study promotes environmentally sustainable and socially equitable agricultural practices that are economically viable, contributing to broader environmental sustainability and development goals.
Comparison of Different Methods for Determining 5-hydroxymethylfurfural in Assessing the Quality of Honey from Greater Poland
Authors: Zembrzuska Joanna , Pakulski Łukasz , Karbowska Bożena , Bartoszewicz Jarosław , Janeba-Bartoszewicz Edyta , Selech Jarosław , Kurczewski Przemysław
Published: May 2024

This paper presents the results of testing the content of 5-hydroxymethylfurfural (HMF) in honey from Greater Poland. The production of honey from this area of Poland, its processing, and its consumption are closely related to the sustainable development of this region. It is created in the process of the production, storage, and transport of honey, especially during its thermal processing. Therefore, it can be an indicator in the analysis of sustainable development throughout the life cycle of honey and its products. The aim of this research was to determine the HMF content in Greater Poland’s honey available on the Polish market using three different methods and to compare the obtained results. The methodology used was as follows: two spectrophotometric methods (White and Winkler) and an HMF determination method based on the LC-MS/MS technique developed especially for this study. The determined HMF content in all tested honey samples did not exceed the applicable standard. The determined HMF values in all honey samples ranged from 0 to 28.5 mg HMF/kg honey. All results fell within the scope of European Council Directive 2001/110/EC of 20 December 2001, i.e., they did not exceed the HMF content in honey, which is 40 mg/kg. The results will encourage modifications to the universal honey testing procedures to be developed for the agri-food sector. In the study, seven honeys of different origins and types were selected; three HMF detection methods were selected; a comparative procedure was developed; and the content of the reference ingredient in honey was determined.
Impact of Rural Digital Economy Development on Rural Revitalisation—Evidence from China
Authors: Liu Zhaolei , Wu Huixin , Badar Iftikhar Hussain
Published: May 2024

Comprehensively promoting rural revitalisation is an important task for China so asto build a strong agricultural country in the new era; industrial revitalisation is the top priority of rural revitalisation, and the rural digital economy is an important driving force to achieve rural revitalisation. Based on data on the development level of the rural digital economy and the development level of rural revitalisation in 30 provinces in China from 2013 to 2020, the impact of rural digital economy development on rural revitalisation was empirically analysed using a two-way fixed effects model. The results show that the level of rural digital economy development in all Chinese provinces has a positive impact on the level of rural revitalisation development. At the same time, the level of economic development, urbanisation rate, degree of openness to the outside world, demographic structure, and rural assets are all inputs that have a significant positive impact on the level of development of rural revitalisation. In order to promote the development of rural revitalisation, it is proposed to build a rural digital infrastructure and promote the construction of digital villages, combining the actual situation of each place, guiding the layout of rural industries in accordance with local conditions, and further giving play to the positive effects om the level of rural economic development. This paper also considers policy recommendations for fostering a rural digital workforce to fulfil the important role of human capital.
Study on Driving Factors and Spatiotemporal Differentiation of Eco-Environmental Quality in Jianghuai River Basin of China
Authors: Cai Hong , Ma Xueqing , Chen Pengyu , Guo Yanlong
Published: May 2024

For an in-depth analysis of the ecosystems of the Jianghuai Valley, this study utilized municipal data from 2017 to 2021. In addition, this study established an index scale evaluation system for the quality of the ecological environment in the Jianghuai Valley. This system encompasses five critical dimensions: drivers, pressures, states, impacts, and responses, in accordance with the DPSIR model. The entropy-weighted TOPSIS method combined with the gray correlation method was used to assess the ecological status of each region of the Jianghuai Valley at different time periods and the driving factors affecting the ecological quality of the Jianghuai Valley. Our study yields several key conclusions. First, it was observed that the ecological environment within the Jianghuai Valley showed a continuous upward bias in inter-annual variability. Second, there exists variation in ecological environment quality among the eleven urban areas within the Jianghuai Valley, highlighting regional disparities. Third, among the eleven urban areas in the Jianghuai Valley, Anqing has the best ecological quality, and Huainan has the worst ecological performance. Fourth, the ecological environment quality within the Jianghuai Valley demonstrates an aggregated pattern. From west to east, this pattern is delineated by distinct areas: one marked by excellent ecological environment quality, another exhibiting average ecological environment quality, followed by a zone characterized by good ecological environment quality, and finally, an area with poor ecological environment. Fifth, our analysis reveals that Q9 (indicating the percentage of excellent air days) and Q13 (denoting the annual average temperature) have a pronounced correlation with the Jianghuai Valley’s ecological quality. Conversely, Q3, which pertains to the rate of natural population growth, had the lowest relevance to the ecological quality of the Jianghuai Valley.
Elucidating the Impact of Polyol Functional Moieties on Exothermic Poly(urethane-urea) Polymerization: A Thermo-Kinetic Simulation Approach
Authors: Mendija Leanne Christie C. , Dingcong Roger G. , Alfeche Fortia Louise Adeliene M. , Al-Moameri Harith H. , Dumancas Gerard G. , Tan Noel Peter B. , Malaluan Roberto M. , Alguno Arnold C. , Lubguban Arnold A.
Published: May 2024

The pursuit of sustainable polyurethane (PU) product development necessitates a profound understanding of precursor materials. Particularly, polyol plays a crucial role, since PU properties are heavily influenced by the type of polyol employed during production. While traditional PUs are solely derived from hydroxyl functionalized polyols, the emergence of amine-hydroxyl hybrid polyols has garnered significant attention due to their potential for enhancing PU product properties. These hybrid polyols are characterized by the presence of both amine and hydroxyl functional groups. However, characterizing these polyols remains a daunting challenge due to the lack of established experimental testing standards for properties, such as fractional hydroxyl and amine moieties and thermo-kinetic parameters for amine reactions with isocyanates. Additionally, characterization methods demand extensive time and resources and pose risks to health and the environment. To bridge these gaps, this study employed computational simulation via MATLAB to determine the moieties’ fractions and thermo-kinetic parameters for hybrid polyols. The computational method integrated energy balance and reaction kinetics analysis for various polyols to elucidate the influence of functional moieties on the thermo-kinetic behavior of PU formations. Validation of the simulated results was conducted by comparing their experimental and simulated prepolymer and foam temperature profiles, highlighting the direct influence of fractional moieties on PU formations. The comparisons revealed an average relative error of less than 5%, indicating the accuracy and credibility of the simulation. Thus, this study represents a pivotal opportunity for advancing knowledge and driving sustainable developments in bio-based polyol characterization for PU production streamlining and formulation optimization.
Inclusive Pedagogy at University: Faculty Members’ Motivations
Authors: Carballo Rafael , Cotán Almudena
Published: May 2024

The presence of students with disabilities in Higher Education (HE) is increasing. However, the permanence and success of these students at university is not granted. In this study, the voices of 119 faculty members from 10 Spanish universities who had been identified by their students with disabilities as inclusive were heard. For this purpose, a qualitative methodology was chosen, using the semi-structured individual interview as the instrument for data gathering. Two interviews were conducted with each participant to analyse the main areas of inclusive pedagogy (beliefs, knowledge, designs and actions). The results show the participants’ conceptions of disability, as well as their main motivations for carrying out inclusive pedagogy, such as their professional vocation and their previous experiences with people with disabilities. The article ends with a series of conclusions that outline the profile of an inclusive faculty member. This information can help universities to improve their faculty training programs to obtain a more inclusive teaching staff, which can be translated into more sustainable and inclusive university systems.
A Ciphertext Reduction Scheme for Garbling an S-Box in an AES Circuit with Minimal Online Time
Authors: Yan Xu , Lian Bin , Yang Yunhao , Wang Xiaotie , Cui Jialin , Zhao Xianghong , Wang Fuqun , Chen Kefei
Published: May 2024

The secure computation of symmetric encryption schemes using Yao’s garbled circuits, such as AES, allows two parties, where one holds a plaintext block m and the other holds a key k, to compute Enc(k,m) without leaking m and k to one another. Due to its wide application prospects, secure AES computation has received much attention. However, the evaluation of AES circuits using Yao’s garbled circuits incurs substantial communication overhead. To further improve its efficiency, this paper, upon observing the special structures of AES circuits and the symmetries of an S-box, proposes a novel ciphertext reduction scheme for garbling an S-box in the last SubBytes step. Unlike the idea of traditional Yao’s garbled circuits, where the circuit generator uses the input wire labels to encrypt the corresponding output wire labels, our garbling scheme uses the input wire labels of an S-box to encrypt the corresponding “flip bit strings”. This approach leads to a significant performance improvement in our garbling scheme, which necessitates only 28 ciphertexts to garble an S-box and a single invocation of a cryptographic primitive for decryption compared to the best result in previous work that requires 8×28 ciphertexts to garble an S-box and multiple invocations of a cryptographic primitive for decryption. Crucially, the proposed scheme provides a new idea to improve the performance of Yao’s garbled circuits. We analyze the security of the proposed scheme in the semi-honest model and experimentally verify its efficiency.
The Thermoelastic Dynamic Response of a Rod Due to a Moving Heat Source under the Fractional-Order Thermoelasticity Theory
Authors: Liu Fengjun , Shi Pengjie , Guo Ying
Published: May 2024

In this paper, the thermoelastic behavior of a rod made of an isotropic material under the action of a moving heat source was investigated using a new theory of thermoelasticity related to fractional-order time with two relaxation times. A mathematical model of the one-dimensional thermoelasticity problem was established based on the new thermoelasticity theory. We considered the symmetry of the material, and the fractional-order thermoelasticity control equation was given. Subsequently, the control equations were solved and analyzed using the Laplace transform and its inverse transform. This study examined the effects of fractional-order parameters, time, two thermal relaxation times, and the speed of movement of the heat source on the displacement, temperature, and stress distribution patterns in the rod.
Numerical Solution for the Heat Conduction Model with a Fractional Derivative and Temperature-Dependent Parameters
Authors: Brociek Rafał , Hetmaniok Edyta , Słota Damian
Published: May 2024

This paper presents the numerical solution of the heat conduction model with a fractional derivative of the Riemann–Liouville type with respect to the spatial variable. The considered mathematical model assumes the dependence on temperature of the material parameters (such as specific heat, density, and thermal conductivity) of the model. In the paper, the boundary conditions of the first and second types are considered. If the heat flux equal to zero is assumed on the left boundary, then the thermal symmetry is obtained, which results in a simplification of the problem and the possibility of considering only half the area. The numerical examples presented in the paper illustrate the effectiveness and convergence of the discussed computational method.
The Impact of Time between Booster Doses on Humoral Immune Response in Solid Organ Transplant Recipients Vaccinated with BNT162b2 Vaccines
Authors: Hamm Sebastian Rask , Loft Josefine Amalie , Pérez-Alós Laura , Heftdal Line Dam , Hansen Cecilie Bo , Møller Dina Leth , Pries-Heje Mia Marie , Hasselbalch Rasmus Bo , Fogh Kamille , Hald Annemette , Ostrowski Sisse Rye , Frikke-Schmidt Ruth , Sørensen Erik , Hilsted Linda , Bundgaard Henning , Garred Peter , Iversen Kasper , Perch Michael , Sørensen Søren Schwartz , Rasmussen Allan , Sabin Caroline A. , Nielsen Susanne Dam
Published: May 2024

As solid organ transplant (SOT) recipients remain at risk of severe outcomes after SARS-CoV-2 infections, vaccination continues to be an important preventive measure. In SOT recipients previously vaccinated with at least three doses of BNT162b2, we investigated humoral responses to BNT162b2 booster doses. Anti-SARS-CoV-2 receptor binding domain (RBD) immunoglobulin G (IgG) was measured using an in-house ELISA. Linear mixed models were fitted to investigate the change in the geometric mean concentration (GMC) of anti-SARS-CoV-2 RBD IgG after vaccination in participants with intervals of more or less than six months between the last two doses of vaccine. We included 107 SOT recipients vaccinated with a BNT162b2 vaccine. In participants with an interval of more than six months between the last two vaccine doses, we found a 1.34-fold change in GMC per month (95% CI 1.25–1.44), while we found a 1.09-fold change in GMC per month (95% CI 0.89–1.34) in participants with an interval of less than six months between the last two vaccine doses, resulting in a rate ratio of 0.82 (95% CI 0.66 to 1.01, p = 0.063). In conclusion, the administration of identical COVID-19 mRNA vaccine boosters within six months to SOT recipients may result in limited humoral immunogenicity of the last dose.
Long Prime–Boost Interval and Heightened Anti-GD2 Antibody Response to Carbohydrate Cancer Vaccine
Authors: Cheung Irene Y. , Mauguen Audrey , Modak Shakeel , Basu Ellen M. , Feng Yi , Kushner Brian H. , Cheung Nai Kong
Published: May 2024

The carbohydrate ganglioside GD2/GD3 cancer vaccine adjuvanted by β-glucan stimulates anti-GD2 IgG1 antibodies that strongly correlate with improved progression-free survival (PFS) and overall survival (OS) among patients with high-risk neuroblastoma. Thirty-two patients who relapsed on the vaccine (first enrollment) were re-treated on the same vaccine protocol (re-enrollment). Titers during the first enrollment peaked by week 32 at 751 ± 270 ng/mL, which plateaued despite vaccine boosts at 1.2–4.5 month intervals. After a median wash-out interval of 16.1 months from the last vaccine dose during the first enrollment to the first vaccine dose during re-enrollment, the anti-GD2 IgG1 antibody rose to a peak of 4066 ± 813 ng/mL by week 3 following re-enrollment (p < 0.0001 by the Wilcoxon matched-pairs signed-rank test). Yet, these peaks dropped sharply and continually despite repeated boosts at 1.2–4.5 month intervals, before leveling off by week 20 to the first enrollment peak levels. Despite higher antibody titers, patients experienced no pain or neuropathic side effects, which were typically associated with immunotherapy using monoclonal anti-GD2 antibodies. By the Kaplan–Meier method, PFS was estimated to be 51%, and OS was 81%. The association between IgG1 titer during re-enrollment and β-glucan receptor dectin-1 SNP rs3901533 was significant (p = 0.01). A longer prime–boost interval could significantly improve antibody responses in patients treated with ganglioside conjugate cancer vaccines.
The Opportunity Provided by Vaccination Offer to Refugees from Ukraine in European Countries
Authors: Marchetti Giulia , D’Angelo Franca , Ferrari Caterina , Bellini Arianna , Sabato Marise , Scarso Salvatore , Karnaki Pania , Marceca Maurizio , Russo Maria Laura , Tosti Maria Elena , Declich Silvia
Published: May 2024

(1) The Russian invasion of Ukraine forced many people to leave their country and seek asylum in various European countries, with serious consequences from a health perspective. In this context, we describe the health measures undertaken by AcToVax4NAM Consortium Countries (Cyprus–Germany–Greece–Italy–Malta–Poland–Romania–Spain) to prevent Vaccine-Preventable Disease (VPD) outbreaks in the context of mass movements of populations that resulted from the crisis in Ukraine. (2) We collected information on the vaccinations offered to Ukrainians in the Consortium Countries. (3) All these countries have provided Temporary Protection (TP) status to refugees from Ukraine and have followed the recommendations of European and International Agencies to offer them vaccinations according to the National Immunisation Programmes. The COVID-19 vaccination is offered in all countries with regard to the general population. Most countries provide information on TP and access to health/vaccination services in the Ukrainian language. (4) The information collected shows a common effort to ensure the adequate planning of health and vaccination services for refugees from Ukraine and, very often, to include them in the national vaccination offer. It is important that this initial response towards people who have fled Ukraine will be continued following the emergency but, more importantly, that it serves as a best practice towards all migrants and refugees entering the EU.