bluuebunny/crossref_metadata_2025 huggingface dataset:
An Adaptive Cooperative Localization Method for Heterogeneous Air-to-Ground Robots Based on Relative Distance Constraints in a Satellite-Denial Environment
Authors: Han Shidong , Xiong Zhi , Shi Chenfa
Published: July 2024

Cooperative localization (CL) for air-to-ground robots in a satellite-denial environment has become a current research hotspot. The traditional distance-based heterogeneous multiple-robot CL method requires at least four unmanned aerial vehicles (UAVs) with known positions. When the number of known-position UAVs in a cluster collaborative network is insufficient, the traditional distance-based CL method has a certain inapplicability. A novel adaptive CL method for air-to-ground robots based on relative distance constraints is proposed in this paper. Based on a dynamically changing number of known-position UAVs in the cluster collaborative network, the adaptive fusion estimation threshold is set. When the number of known-position UAVs in the cluster cooperative network is large, the real-time dynamic topology characteristics of multiple robots’ spatial geometric configurations are considered. The optimal spatial geometric configuration between UAVs and unmanned ground vehicles (UGVs) is utilized to achieve a high-precision CL solution for UGVs. Otherwise, in the event that the number of known-position UAVs in a cluster collaborative network is insufficient, distance observation constraint information between UAVs and UGVs is retained in real time. Position observation equations for UGVs’ inertial navigation system (INS) have been constructed using inertial-based high-precision relative position constraints and relative distance constraints from historical to current times. The experimental results show that the proposed method achieves adaptive fusion estimation with a dynamically changing number of known-position UAVs in the cluster collaborative network, effectively verifying the effectiveness of the proposed method.
Comparison of the Bactericidal Effect of Ultrasonic and Heat Combined with Ultrasonic Treatments on Egg Liquids and Additional Analysis of Their Effect by NIR Spectral Analysis
Authors: Nagy Dávid , Zsom Tamás , Taczman-Brückner Andrea , Somogyi Tamás , Zsom-Muha Viktória , Felföldi József
Published: July 2024

Eggs are a valuable source of nutrients, but they represent a food safety risk due to the presence of microbes. In this work, three types of egg liquids (albumen, yolk and whole egg) previously contaminated with E. coli were treated with ultrasound (US) and a combination of ultrasound and low (55 °C) temperature (US+H). The US treatment parameters were 20 and 40 kHz and 180 and 300 W power and a 30, 45 or 60 min treatment time. The ultrasonic treatment alone resulted in a reduction in the microbial count of less than 1 log CFU, while the US+H treatment resulted in a reduction in CFU counts to below detectable levels in all three egg liquids. Heat treatment and ultrasound treatment had a synergistic effect on E. coli reduction. For all measurements, except for the whole egg samples treated with US, the 20 kHz treated samples showed a significantly (>90% probability level) lower bactericidal effect than the 40 kHz treated samples. PCA and aquaphotometric analysis of NIR spectra showed significant differences between the heat-treated groups’ (H and US+H) and the non-heat-treated groups’ (US and control) NIR spectra. LDA results show that heat-treated groups are distinguishable from non-heat-treated groups (for albumen 91% and for egg yolk and whole egg 100%).
The Design and Experimentation of a Differential Grain Moisture Detection Device for a Combined Harvester
Authors: Liu Zheng , Yang Tengxiang , Li Panpan , Wang Jin , Xu Jinshan , Jin Chengqian
Published: July 2024

To conveniently implement the online detection of grain moisture in combined harvesters and the address the influence of the no-load measurement baseline, thereby enhancing detection accuracy and measurement continuity, this study developed a differential grain moisture detection device. For its convenient installation and integration on combined harvesters, a single-pole plate measurement element with a 1.6 mm thick epoxy resin coated with a 2-ounce copper film was designed, and a grain moisture detection device was constructed based on the STM32F103 microprocessor (STMicroelectronics International NV, Geneva, Switzerland). To enhance the device’s interference resistance, a differential amplification measurement circuit integrated with high-frequency excitation was designed using a reference capacitance. To improve the resolution of the measurement circuit, Malab simulations were conducted at different excitation frequencies, ultimately selecting 30 kHz as the system’s excitation signal frequency. To validate the effectiveness of the measurement circuit, validity tests were performed on the constructed sensor, which showed that the sensor’s measurement voltage could effectively distinguish the moisture levels in grains, with a determination coefficient (R²) reaching 0.9978. To address the errors in moisture measurement caused by changes in grain temperature, an interaction experiment of the effect of moisture content and temperature on the measurement voltage was conducted using an integrated temperature sensor, resulting in the construction of a moisture content calculation model. Both the indoor static detection and field testing of the moisture detection device were conducted, indicating that the maximum average error in static measurements was 0.3%, with a maximum relative error of 0.47%, and the average relative error in field tests was ≤0.4%.
The Importance of Preconditioning for the Sonographic Assessment of Plantar Fascia Thickness and Shear Wave Velocity
Authors: Costello Conor , Chatzistergos Panagiotis , Branthwaite Helen , Chockalingam Nachiappan
Published: July 2024

Plantar fasciopathy is a very common musculoskeletal complaint that leads to reduced physical activity and undermines the quality of life of patients. It is associated with changes in plantar fascia structure and biomechanics which are most often observed between the tissue’s middle portion and the calcaneal insertion. Sonographic measurements of thickness and shear wave (SW) elastography are useful tools for detecting such changes and guide clinical decision making. However, their accuracy can be compromised by variability in the tissue’s loading history. This study investigates the effect of loading history on plantar fascia measurements to conclude whether mitigation measures are needed for more accurate diagnosis. The plantar fasciae of 29 healthy participants were imaged at baseline and after different clinically relevant loading scenarios. The average (±standard deviation) SW velocity was 6.5 m/s (±1.5 m/s) and it significantly increased with loading. Indicatively, five minutes walking increased SW velocity by 14% (95% CI: −1.192, −0.298, t(27), p = 0.005). Thickness between the calcaneal insertion and the middle of the plantar fascia did not change with the tissues’ loading history. These findings suggest that preconditioning protocols are crucial for accurate SW elastography assessments of plantar fasciae and have wider implications for the diagnosis and management of plantar fasciopathy.
MS-YOLOv8-Based Object Detection Method for Pavement Diseases
Authors: Han Zhibin , Cai Yutong , Liu Anqi , Zhao Yiran , Lin Ciyun
Published: July 2024

Detection of pavement diseases is crucial for road maintenance. Traditional methods are costly, time-consuming, and less accurate. This paper introduces an enhanced pavement disease recognition algorithm, MS-YOLOv8, which modifies the YOLOv8 model by incorporating three novel mechanisms to improve detection accuracy and adaptability to varied pavement conditions. The Deformable Large Kernel Attention (DLKA) mechanism adjusts convolution kernels dynamically, adapting to multi-scale targets. The Large Separable Kernel Attention (LSKA) enhances the SPPF feature extractor, boosting multi-scale feature extraction capabilities. Additionally, Multi-Scale Dilated Attention in the network’s neck performs Spatially Weighted Dilated Convolution (SWDA) across different dilatation rates, enhancing background distinction and detection precision. Experimental results show that MS-YOLOv8 increases background classification accuracy by 6%, overall precision by 1.9%, and mAP by 1.4%, with specific disease detection mAP up by 2.9%. Our model maintains comparable detection speeds. This method offers a significant reference for automatic road defect detection.
Predefined-Time Adaptive Neural Tracking Control for a Single Link Manipulator with an Event-Triggered Mechanism
Authors: Wang Yikai , Sun Yuan , Zhang Yueyuan , Huang Jun
Published: July 2024

This paper introduces an adaptive trajectory-tracking control method for uncertain nonlinear systems, leveraging a time-varying threshold event-triggered mechanism to achieve predefined-time tracking. Compared to conventional time-triggering approaches, the employment of a time-varying threshold event-triggered mechanism significantly curtails communication resource wastage without compromising the system’s performance. Furthermore, a novel adaptive control algorithm with predefined timing is introduced. This method guarantees that tracking errors converge to within a small vicinity of the origin within a predefined timeframe, ensuring all signals in the closed-loop system remain bounded. Moreover, by adjusting a controller-related parameter, we can predefine the upper bound of the convergence time. Finally, the efficacy of the control scheme is corroborated by simulation results obtained from a nonlinear manipulator system.
Deep Visual Computing of Behavioral Characteristics in Complex Scenarios and Embedded Object Recognition Applications
Authors: Zong Libo , Fang Jiandong
Published: July 2024

By leveraging artificial intelligence and big data to analyze and assess classroom conditions, we can significantly enhance teaching quality. Nevertheless, numerous existing studies primarily concentrate on evaluating classroom conditions for student groups, often neglecting the need for personalized instructional support for individual students. To address this gap and provide a more focused analysis of individual students in the classroom environment, we implemented an embedded application design using face recognition technology and target detection algorithms. The Insightface face recognition algorithm was employed to identify students by constructing a classroom face dataset and training it; simultaneously, classroom behavioral data were collected and trained, utilizing the YOLOv5 algorithm to detect students’ body regions and correlate them with their facial regions to identify students accurately. Subsequently, these modeling algorithms were deployed onto an embedded device, the Atlas 200 DK, for application development, enabling the recording of both overall classroom conditions and individual student behaviors. Test results show that the detection precision for various types of behaviors is above 0.67. The average false detection rate for face recognition is 41.5%. The developed embedded application can reliably detect student behavior in a classroom setting, identify students, and capture image sequences of body regions associated with negative behavior for better management. These data empower teachers to gain a deeper understanding of their students, which is crucial for enhancing teaching quality and addressing the individual needs of students.
GPS Suitability for Physical Frailty Assessment
Authors: Boronat Pablo , Pérez-Francisco Miguel , Gascó-Compte Arturo , Pardo-Navarro Miguel , Belmonte-Fernández Oscar
Published: July 2024

The ageing of the population needs the automation of patient monitoring. The objective of this is twofold: to improve care and reduce costs. Frailty, as a state of increased vulnerability resulting from several diseases, can be seen as a pandemic for older people. One of the most common detection tests is gait speed. This article compares the gait speed measured outdoors using smartphones with that measured using manual tests conducted in medical centres. In the experiments, the walking speed was measured over a straight path of 80 m. Additionally, the speed was measured over 2.4 m in the middle of the path, given that this is the minimum distance used in medical frailty tests. To eliminate external factors, the participants were healthy individuals, the weather was good, and the path was flat and free of obstacles. The results obtained are promising. The measurements taken with common smartphones over a straight path of 80 m are within the same order of error as those observed in the manual tests conducted by practitioners.
Transforming Agricultural Living Labs into Lighthouses Contributing to Sustainable Development as Defined by the UN-SDGs
Authors: Reijneveld Jan Adriaan , Geling Mark , Geling Edwin , Bouma Johan
Published: July 2024

The UN Sustainable Development Goals (SDGs) were intended to be met by 2030, but recent reviews show that this will not be achieved, and recommendations have been made to heads of state, governments, the international community, and member states to strengthen their efforts. Focusing on agriculture, we argue that a bottom-up effort is also needed in living labs, one that truly involves farmers, as they are now confused about, and resistant to, top-down rules and regulations. To provide clarity, we suggest the following: (i) selecting key SDGs by considering the proportionality principle, and (ii) defining ecosystem services in terms of indicators and thresholds for income, the production of healthy food, the protection of water quality, contribution to energy preservation and climate mitigation, and the protection of life on land, including soil health (SDGs 1, 2, 3, 6, 7, 13, 15). Indicators and thresholds have to be clear and measurable and achievable within reasonable costs. The introduction of innovative sensing techniques allowed the rapid generation of relevant soil data in the field of living labs. When meeting all thresholds, a “lighthouse” is established to act as an inspiring example for farmers with similar soils in a given region. Policies should focus on achieving thresholds of a set of indicators rather than on prescribing certain top-down management measures.
Coastal Salinity Management and Cropping System Intensification through Conservation Agriculture in the Ganges Delta
Authors: Sarangi Sukanta Kumar , Mainuddin Mohammed , Raut Shishir , Mandal Uttam Kumar , Mahanta Kshirendra Kumar
Published: July 2024

Soil salinity is the major constraint for cropping system intensification in the coastal region of the Ganges Delta. Salts build up on the soil surface, as well as in the crop root zone, due to the capillary rise in underground brackish water, hampering the growth and development of crops and resulting in mortality and low yields. We studied, for three years (2020–2021 to 2022–2023), the effect of conservation agricultural practices (zero tillage planting, crop residue recycling, and crop rotations) on the major soil properties (soil salinity and organic carbon status), crop performance (yield and economics), and water footprint. Conservation agricultural practices significantly reduce soil salinity, build soil organic carbon, reduce water footprint, and increase the profitability of cropping systems compared to tillage-intensive conventional practices. Under conventional agriculture, the sole cropping of rice is more profitable than double and triple cropping systems.
Lean-and-Green Fractional Factorial Screening of 3D-Printed ABS Mechanical Properties Using a Gibbs Sampler and a Neutrosophic Profiler
Authors: Pantas Tryfonas , Besseris George
Published: July 2024

The use of acrylonitrile butadiene styrene (ABS) in additive manufacturing applications constitutes an elucidating example of a promising match of a sustainable material to a sustainable production process. Lean-and-green datacentric-based techniques may enhance the sustainability of product-making and process-improvement efforts. The mechanical properties—the yield strength and the ultimate compression strength—of 3D-printed ABS product specimens are profiled by considering as many as eleven controlling factors at the process/product design stage. A fractional-factorial trial planner is used to sustainably suppress by three orders of magnitude the experimental needs for materials, machine time, and work hours. A Gibbs sampler and a neutrosophic profiler are employed to treat the complex production process by taking into account potential data uncertainty complications due to multiple distributions and indeterminacy issues due to inconsistencies owing to mechanical testing conditions. The small-data multifactorial screening outcomes appeared to steadily converge to three factors (the layer height, the infill pattern angle, and the outline overlap) with a couple of extra factors (the number of top/bottom layers and the infill density) to supplement the linear modeling effort and provide adequate predictions for maximizing the responses of the two examined mechanical properties. The performance of the optimal 3D-printed ABS specimens exhibited sustainably acceptable discrepancies, which were estimated at 3.5% for the confirmed mean yield strength of 51.70 MPa and at 5.5% for the confirmed mean ultimate compression strength of 53.58 MPa. The verified predictors that were optimally determined from this study were (1) the layer thickness—set at 0.1 mm; (2) the infill angle—set at 0°; (3) the outline overlap—set at 80%; (4) the number of top/bottom layers—set at 5; and (5) the infill density—set at 100%. The multifactorial datacentric approach composed of a fractional-factorial trial planner, a Gibbs sampler, and a neutrosophic profiler may be further tested on more intricate materials and composites while introducing additional product/process characteristics.
Quantitative Analysis of Peri-Urbanization: Developing a Peri-Urban Index for Medium-Sized Cities Using the Analytic Hierarchy Process—A Case Study of Yozgat, Turkey
Authors: Demiroğlu İzgi Begüm
Published: July 2024

The rapid development of urbanization necessitates effective analytical methods to address its complexities. Peri-urbanization, the expansion of settlement boundaries and urban spread, is a critical aspect of this phenomenon. This study introduces a quantitative method to analyze peri-urbanization, providing a peri-urban index (PUI) for medium-sized cities based on peri-urban dynamics. Utilizing the analytical hierarchy process (AHP), the weight values of influencing dynamics are calculated, establishing a peri-urban scale (PUS) ranging from one to five based on rural and urban characteristics. Applied to a medium-sized case study city, the method assesses the peri-urbanization from 2007 to 2022. Four main dynamics—socio-demographics, economic-employment, land use-accessibility, and building-texture patterns—and fourteen sub-dynamics were identified and weighted using AHP. The city’s PUI values over different years reveal a 41.6% increase, indicating significant peri-urbanization. This quantitative approach, which innovatively integrates multiple numerical analysis methods, not only highlights the peri-urbanization trends of the city but also provides a comparative analysis framework for other cities. The method’s ability to track changes over time and compare different urban areas supports the development of sustainable urbanization strategies, ensuring balanced growth and resource allocation. This method offers urban planners, policymakers, and architects a powerful tool to manage and guide future urban expansion effectively through interdisciplinary collaboration.
A Bayesian and Analytic Hierarchy Process-Based Multilevel Community Resilience Evaluation Method and Application Study
Authors: Lin Jianfu , Li Yilin , Wang Lixin , Wang Junfang , Zhang Tianyu , Wu Weilin
Published: July 2024

Cities are complex systems influenced by a multitude of factors, encompassing society, economy, culture, and environment. These factors make urban development highly vulnerable to various disturbances. Communities work as the fundamental building blocks of a city and directly impact both its social structure and spatial layout. Moreover, urban planning and policies play a crucial role in shaping the development trajectory of communities and the living environment for residents. This study aims to develop a Bayesian and analytic hierarchy process (BAHP)-based multilevel community resilience evaluation method to assess the ability of the community system to withstand disturbances and recover from them. First, the proposed method establishes a comprehensive assessment index system that can evaluate social and environmental resilience as well as institutional and managerial resilience at multiple levels. This system serves as a quantitative decision-making tool to elucidate the impact of various factors on community resilience. Furthermore, the “relative demand coefficient” (RDC) is proposed to compare different communities’ resilience by using Bayesian inference to determine its most probable value (MPV). To validate the applicability of the proposed method, an empirical study was conducted in the Dafapu community located in the Longgang District of Shenzhen. Meanwhile, a simulated virtual community is employed for comparison with the Dafapu community as an illustrative example showcasing the proposed method’s superior performance after integrating the RDC. The empirical study demonstrates that the proposed BAHP-based method can effectively and quantitatively highlight the recovery capabilities and limitations for different communities in various dimensions while providing a clear direction for enhancing urban community resilience. This research contributes new insights to the theory, provides a practical tool to quantify community resilience, and offers a viable path for the actual enhancement of community resilience.
Does CEO Power Affect Manufacturing Firms’ Green Innovation and Organizational Performance? A Mediational Approach
Authors: Yan Qiuyan , Yan Jing , Zhang Duo , Bi Shuochen , Tian Ying , Mubeen Riaqa , Abbas Jaffar
Published: July 2024

In this research work, we investigate the direct impact of CEO power on corporate performance, as well as the mediating role of green innovation in this hypothesized relationship. In this study, we use observation data collected from 780 listed manufacturing companies, explicitly focusing on the Karachi Stock Exchange (KSE), and adopt a GMM (generalized method of moments) model for testing our hypotheses. The results of this research show that CEO power has a negative impact on sustainable corporate performance, while the mediating role of green innovation positively and completely regulates the effect of CEO power on enterprises’ sustainable performance. This study adds novelty to the literature as it explores the influence of green innovation in manufacturing enterprises on CEO power and firm performance and observes the direct impact of green innovation and CEO power on sustainable business performance. The results of this study show that a green innovation strategy significantly affects CEO power and manufacturing firm performance and that companies that adopt green initiatives can increase corporate value and improve their reputation among stakeholders. The conclusions of this study have important implications for both theory and practice in this field.
Social Sustainability in Practice: Bridging the Gap from Declarations to Real-World Scenarios on Sustainability Driven by Ergonomics
Authors: Butlewski Marcin , Czernecka Wiktoria
Published: July 2024

In the paper, the role of ergonomics in promoting social sustainability within the workplace has been investigated and supported by evidence from the literature. Empirical research was conducted among 147 assembly line workers to gain insights into work-related discomfort and fatigue. This study used an ergonomic risk assessment (ERA) method to evaluate the ergonomic quality of workstations and correlated these findings with employees’ subjective experiences. The results showed a relationship between objective ergonomic assessments and subjective perceptions of work itself and company organizational factors, which were orally stated to the assessors, emphasizing the critical role of ergonomics in advancing social sustainability goals. The proposed DMAIC model was implemented to integrate ergonomic innovations into business processes to achieve social sustainability goals. Further research is needed to operationalize ergonomics in sustainability efforts.
Virtual Reality Application for the Safety Improvement of Intralogistics Systems
Authors: Lewczuk Konrad , Żuchowicz Patryk
Published: July 2024

Immersive technologies from the spectrum of Industry 4.0, such as Virtual Reality (VR), are increasingly used in research and safety analysis in industrial and intralogistics systems, including distribution warehouses and production plants. Safety in intralogistics systems is influenced by design and management processes, human behavior, and device performance. In all these areas, VR can serve as a supportive technology for visualization, testing, and employee training. However, this requires the development of principles for integrating VR into standard procedures for the design, modernization, and analysis of intralogistics and production systems. This article discusses the use of VR to analyze the occupational and functional safety of intralogistics systems. It reviews the literature and VR implementations aimed at examining and improving safety in industrial systems. The article explores the integration of VR into the design and analysis procedures for intralogistics and production systems. The authors present a five-dimensional decision space for assessing the use of VR, including identifying subjects of safety analysis, threats and hazards specific to intralogistics, countermeasures for these threats, factors affecting safety, and mechanisms by which VR can improve safety in intralogistics systems. As a subsequent step, the authors discuss using universal simulation environments that support VR technology to study and enhance safety in intralogistics systems, providing a framework example based on the FlexSim (2023 update 2) environment. Finally, this article addresses the threats and limitations of VR technology, along with the challenges and future prospects of VR in the context of Industry 4.0. The article concludes that VR can be an essential tool for increasing safety in the future, albeit with some reservations about certain features of this technology.
Climate Change Impacts on Legume Physiology and Ecosystem Dynamics: A Multifaceted Perspective
Authors: Dave Kirtan , Kumar Anand , Dave Nischal , Jain Mukul , Dhanda Parmdeep Singh , Yadav Alpa , Kaushik Prashant
Published: July 2024

As valuable sources of plant-based protein, leguminous vegetables (grain legumes) are essential for global food security and contribute to body growth and development in humans as well as animals. Climate change is a major challenge for agriculture development that creates major problems for the growth and development of plants. However, legume productivity is threatened by climate change factors, including rising temperatures, shifting precipitation patterns, increased atmospheric carbon dioxide levels, intensified extreme events, and altered pest/pathogen activity. This review synthesizes approximately 136 studies to assess the climate effects on major legume crops. Under all the global emissions trajectories, the mean temperatures are projected to rise beyond the optimal legume growing thresholds by 2050, carrying yield reductions between 10 and 49% for beans, soybeans, cowpeas, and lentils without adaptation measures. The elevated carbon dioxide may transiently enhance the yields up to 18%, but the benefits dramatically decline above 550 ppm and cannot offset the other climate impacts. Altered rainfall along with recurrent drought and heat waves are also expected to decrease the legume crop yields, seed quality, and soil nitrogen levels worldwide. Furthermore, the proliferation of legume pests and fungal diseases poses significant risks, amplified by climate shifts in 84% of the reviewed studies. These multifaceted impacts threaten the productivity gains in leguminous vegetables essential to sustainably meeting the global protein demand. Realizing resilience will require the accelerated development of heat/drought-tolerant legume varieties, enhanced climate-informed agronomic practices, strong policy interventions, and social safety nets explicitly supporting legume producers, in addition to the policies/steps that governments are taking to address the challenges of the climate crisis. This review highlights the essential adaptations and mechanisms required for legume crops to thrive and fulfill their significant roles in global nutrition. It explores how these crops can be improved to better withstand the environmental stresses, enhance their nutritional profiles, and increase their yields. Additionally, the review discusses the importance of legumes in sustainable agriculture and food security, emphasizing their potential to address the future challenges in feeding the growing global population. By focusing on these critical aspects, the review aims to underscore the importance of legumes in ensuring a healthy and sustainable food supply.
Motivations and Strategies of Sport-Based Corporate Social Responsibility: Multiple Case Studies of Taiwanese Enterprises
Authors: Lu Huei-Fu
Published: July 2024

Since the United Nations announced the 2030 Agenda for Sustainable Development in 2015, which includes 17 Sustainable Development Goals (SDGs) guiding global efforts from 2016 to 2030, corporate organizations have increasingly integrated SDGs into their cultures, adopting innovative strategies to practice sustainable development. This integration has yielded numerous inspiring breakthroughs and success stories. Corporate organizations have found significant contemporary relevance in practicing corporate social responsibility (CSR) through sports. This study explores the motivations for and the scope of CSR activities undertaken by Taiwanese enterprises that use sports as a vehicle. Through in-depth interviews and multiple case studies, this study examines the commonalities and uniqueness of sport-based CSR, providing a detailed depiction of the current state and challenges faced by enterprises engaging in sport-based CSR and sustainable development. The findings will lead to new perspectives and feasible strategic directions for the advancement of sport-based CSR.
Biomass Pellet Processing from Sugar Industry Byproducts: A Study on Pelletizing Behavior and Energy Usage
Authors: Sanchumpu Pasawat , Suaili Wiriya , Nonsawang Siwakorn , Junsiri Chaiyan , Ansuree Peeranat , Laloon Kittipong
Published: July 2024

As global energy demand has increased, bioenergy has emerged as a viable option for reducing greenhouse gas emissions. This study focuses on using waste materials from the sugar industry, such as sugarcane straw, bagasse, and filter cake, to compress into pellets to investigate pelletizing behavior and energy usage. Raw material preparation was a critical phase influencing pelletizing efficiency. Biomass pellet quality depended on a uniform particle size distribution and adequate moisture content. A moisture content of 20% (wb) was found to be suitable for biomass pelletization from the sugar sector. Specific energy in the pelletizing process ranged from 144.28 to 197.85 Wh/kg. The suggested mixing ingredients (sugarcane leaves: bagasse: filter cake) of 0% sugarcane leaves, 90% bagasse, 10% filter cake, and 5% sugarcane leaves, 93.5% bagasse, and 1.5% filter cake resulted in pellets with a bulk density of over 600 kg/m3 and a durability of at least 97.5%. All aspects were assessed according to standardized criteria for developing biomass pellet processing technology from sugar industry byproducts. This method could improve efficiency, boost production volume, lower production costs, and promote the efficient and cost-effective use of renewable energy.
Pricing and Inventory Decisions for the Apparel Industry under a Carbon Neutrality Target with Green Investments and Recycling Efforts
Authors: Zhao Jin , Xu Qi
Published: July 2024

The apparel industry is the second largest source of pollution globally, following only the petrochemical industry in terms of environmental pollution caused by production, sales, and consumption processes. Low-carbon, environmentally friendly, and energy-efficient production and consumption methods are crucial pathways for the apparel industry to achieve carbon neutrality targets. Therefore, considering green investments in apparel products and the recycling of discarded apparel, this paper investigated the inventory and pricing optimization decisions of apparel enterprises within the context of a carbon neutrality target. The results indicated that green investment or recycling can effectively increase the total profits of the apparel brand. Due to the cumulative effect of comprehensive environmental strategies, apparel brands achieve greater profits when simultaneously adopting both green investments and recycling efforts compared to implementing either one alone. Green investments focus on reducing the environmental impact during production by minimizing resource consumption and emissions from the source, while recycling emphasizes product reutilization, effectively extending the utilization cycle of resources. By implementing these two strategies, brands not only reduce the negative environmental impacts during production but also maximize resource reuse throughout the product lifecycle.
Carbon Footprint for Jeans’ Circular Economy Model Using Bagasse
Authors: Semba Toshiro , Furukawa Ryuzo , Itsubo Norihiro
Published: July 2024

To date, clothing has been produced and disposed of in large quantities. It is also known that each process, from the procurement of raw materials to production, transportation, sales, laundry, and disposal, has a significant environmental impact. According to the Global Fashion Agenda, greenhouse gas (GHG) emissions from the fashion industry account for 4% of the global total. Therefore, apparel makers are shifting from a linear economy to a circular economy. For example, the Japanese start-up Curelabo Co., Ltd. (Okinawa, Japan) developed jeans (bagasse washi jeans) made from bagasse, which is a residual material derived from sugarcane after the extraction of cane juice. Furthermore, the use of improved dyeing reduces boiler fuel consumption and eliminates the need for detergents and acid. For disposal, the used jeans and their production waste are processed into biochar for carbon sequestration. In this study, we attempted to calculate GHG emissions using life cycle assessment (LCA) for the circular economy model developed by Curelabo Co., Ltd. GHG emissions from the production of bagasse washi jeans were 1.09 × 101 kg-CO2e. Dyeing, bleaching, and fabric finishing, known as the wet processes, were found to contribute a large proportion of GHG emissions due to their high energy consumption. Furthermore, the entire lifecycle of GHG emissions from bagasse washi jeans, including transport, sales, laundry, and disposal, were 1.53 × 101 kg-CO2e. First, the use of bagasse washi yarn for the weft reduced by 2.99 × 10−1 kg-CO2e compared with the use of conventional 100% bleached cotton yarn. Second, compared with conventional dyeing, GHG emissions from the improved dyeing process were reduced by 2.78 kg-CO2e. Third, the disposal of the used jeans and their production waste into biochar reduced GHG emissions by 9.01 × 10−1 kg-CO2e. Additionally, GHG emissions can be reduced by re-inputting waste in the paper-making process and by using liquefied natural gas as boiler fuel in the dyeing process.
Proximate Compositions and Fatty Acid Profiles of Raw and Processed Holothuria polii and Holothuria tubulosa from the Aegean Sea
Authors: Karapanagiotidis Ioannis T. , Gkalogianni Elli Zafeiria , Apostologamvrou Chrysoula , Voulgaris Konstantinos , Varkoulis Anastasios , Vafidis Dimitris
Published: July 2024

Sea cucumbers have become a highly valuable fishery product, and therefore the determination of their proximate compositions and fatty acid profiles are useful indicators of their physiological status and nutritional value. Thus, various raw and processed products, such as raw, dried, frozen, boiled, and salted Holothuria polii and Holothuria tubulosa that were collected from the Aegean Sea were analyzed. Although there were some notable differences in the proximate and fatty acid profiles between the two species and among the various processing forms, both H. polii and H. tubulosa had a high nutritional value. They were rich in proteins (up to 68.5% in the dried form), and although their lipid fraction was low (0.3–3.9%), it was characterized by very high levels of arachidonic acid (19.1–30.9% of total fatty acids) and eicosapentaenoic acid (8.5–15.7) that play vital roles in human growth, development, and health. In addition, their n-3/n-6 fatty acid ratios were within the recommended ranges, while their low Atherogenic and Thrombogenic indices and high Hypocholesterolemic index denote their high protective role against coronary artery disease. The provided information sheds light on the high nutritional value of this important marine fishery resource and provides valuable information for its preservation and processing. This information could also help policy makers, stakeholders, and the public to recognize the importance of this valuable fishery resource for human nutrition and to adopt preventative measures toward its sustainable exploitation.
Evaporation of Primordial Charged Black Holes: Timescale and Evolution of Thermodynamic Parameters
Authors: de Freitas Pacheco José Antonio
Published: July 2024

The evolution of primordial black holes formed during the reheating phase is revisited. For reheating temperatures in the range of 1012–1013 GeV, the initial masses are respectively of the order of 1010–108MP, where MP is the Planck mass. These newborn black holes have a small charge-to-mass ratio of the order of 10−3, a consequence of statistical fluctuations present in the plasma constituting the collapsing matter. Charged black holes can be rapidly discharged by the Schwinger mechanism, but one expects that, for very light black holes satisfying the condition M/MP<<MP/mW (mW is the mass of the heaviest standard model charged W-boson), the pair production process is probably strongly quenched. Under these conditions, these black holes evaporate until attaining extremality with final masses of about 107–105MP. Timescales to reach extremality as a function of the initial charge excess were computed, as well as the evolution of the horizon temperature and the charge-to-mass ratio. The behavior of the horizon temperature can be understood in terms of the well-known discontinuity present in the heat capacity for a critical charge-to-mass ratio Q/GM=3/2.
Thermodynamics of Magnetic Black Holes with Nonlinear Electrodynamics in Extended Phase Space
Authors: Kruglov Sergey Il’ich
Published: July 2024

We study Einstein’s gravity in AdS space coupled to nonlinear electrodynamics. Thermodynamics in extended phase space of magnetically charged black holes is investigated. We compute the metric and mass functions and their asymptotics, showing that black holes may have one or two horizons. The metric function is regular, f(0)=1, and corrections to the Reissner–Nordström solution are in the order of O(r−3) when the Schwarzschild mass is zero. We prove that the first law of black hole thermodynamics and the generalized Smarr relation hold. The magnetic potential and vacuum polarization conjugated to coupling are computed and depicted. We calculate the Gibbs free energy and the heat capacity showing that first-order and second-order phase transitions take place.
Immunogenicity, Safety and Efficacy of the Dengue Vaccine TAK-003: A Meta-Analysis
Authors: Flacco Maria Elena , Bianconi Alessandro , Cioni Giovanni , Fiore Matteo , Calò Giovanna Letizia , Imperiali Gianmarco , Orazi Vittorio , Tiseo Marco , Troia Anastasia , Rosso Annalisa , Manzoli Lamberto
Published: July 2024

The TAK-003 dengue vaccine was licensed in Europe in December 2022, and the official recommendations from most EU countries are still under formulation. To support policymakers, we performed a meta-analysis to quantify TAK-003’s immunogenicity, efficacy and safety among seronegative and seropositive populations after the administration of one or two vaccine doses. We included trials retrieved from MEDLINE, Scopus and ClinicalTrials.gov. The outcomes were the rates of seroconversion, virologically confirmed dengue fever and serious adverse events after each vaccine dose. Data were combined using random-effect proportion or head-to-head meta-analyses. We retrieved a total of 19 datasets, including >20,000 participants. TAK-003 showed an excellent safety profile, and the immunogenicity after two doses against the four DENV serotypes was ≥90% among both adults and children/adolescents who were either seronegative or seropositive at baseline. A single dose was able to elicit a high immunogenic response among adults (≥70%) and children/adolescents (≥90%). The primary two-dose immunization course halved the risk of all types of virologically confirmed dengue fever among seropositive children/adolescents, but seronegative minors were only protected against the diseases caused by DENV-1 and DENV-2. Overall, the results support the use of TAK-003 for the prevention of dengue fever in the pediatric population of endemic countries. Uncertainties remain on the use of a single vaccine dose in non-endemic countries.
Patterns of Diversity and Humoral Immunogenicity for HIV-1 Antisense Protein (ASP)
Authors: Caetano Diogo Gama , Napoleão-Pêgo Paloma , Villela Larissa Melo , Côrtes Fernanda Heloise , Cardoso Sandra Wagner , Hoagland Brenda , Grinsztejn Beatriz , Veloso Valdilea Gonçalves , De-Simone Salvatore Giovanni , Guimarães Monick Lindenmeyer
Published: July 2024

HIV-1 has an antisense gene overlapping env that encodes the ASP protein. ASP functions are still unknown, but it has been associated with gp120 in the viral envelope and membrane of infected cells, making it a potential target for immune response. Despite this, immune response patterns against ASP are poorly described and can be influenced by the high genetic variability of the env gene. To explore this, we analyzed 100k HIV-1 ASP sequences from the Los Alamos HIV sequence database using phylogenetic, Shannon entropy (Hs), and logo tools to study ASP variability in worldwide and Brazilian sequences from the most prevalent HIV-1 subtypes in Brazil (B, C, and F1). Data obtained in silico guided the design and synthesis of 15-mer overlapping peptides through spot synthesis on cellulose membranes. Peptide arrays were screened to assess IgG and IgM responses in pooled plasma samples from HIV controllers and individuals with acute or recent HIV infection. Excluding regions with low alignment accuracy, several sites with higher variability (Hs > 1.5) were identified among the datasets (25 for worldwide sequences, 20 for Brazilian sequences). Among sites with Hs < 1.5, sequence logos allowed the identification of 23 other sites with subtype-specific signatures. Altogether, amino acid variations with frequencies > 20% in the 48 variable sites identified were included in 92 peptides, divided into 15 sets, representing near full-length ASP. During the immune screening, the strongest responses were observed in three sets, one in the middle and one at the C-terminus of the protein. While some sets presented variations potentially associated with epitope displacement between IgG and IgM targets and subtype-specific signatures appeared to impact the level of response for some peptides, signals of cross-reactivity were observed for some sets despite the presence of B/C/F1 signatures. Our data provides a map of ASP regions preferentially targeted by IgG and IgM responses. Despite B/C/F1 subtype signatures in ASP, the amino acid variation in some areas preferentially targeted by IgM and IgG did not negatively impact the response against regions with higher immunogenicity.
Enhanced Immune Responses in Mice by Combining the Mpox Virus B6R-Protein and Aluminum Hydroxide-CpG Vaccine Adjuvants
Authors: Li Junli , Li Xiaochi , Dong Jiaxin , Wei Jiazheng , Guo Xiaonan , Wang Guozhi , Xu Miao , Zhao Aihua
Published: July 2024

Novel adjuvants and innovative combinations of adjuvants (Adjuvant Systems) have facilitated the development of enhanced and new vaccines against re-emerging and challenging pathogenic microorganisms. Nonetheless, the efficacy of adjuvants is influenced by various factors, and the same adjuvant may generate entirely different immune responses when paired with different antigens. Herein, we combined the MPXV-B6R antigen with BC02, a novel adjuvant with proprietary technology, to assess its capability to induce both cellular and humoral immunity in mouse models. Mice received two intramuscular injections of B6R-BC02, which resulted in the production of MPXV-specific IgG, IgG1, and IgG2a antibodies. Additionally, it elicited strong MPXV-specific Th1-oriented cellular immunity and persistent effector memory B-cell responses. The advantages of BC02 were further validated, including rapid initiation of the immune response, robust recall memory, and sustained immune response induction. Although the potential of immunized mice to produce serum-neutralizing antibodies against the vaccinia virus requires further improvement, the exceptional performance of BC02 as an adjuvant for the MPXV-B6R antigen has been consistently demonstrated.
Mapping Adult Vaccine Confidence in Future Health Professionals: A Pilot Study among Undergraduate Students at Two Universities in Greece
Authors: Leshi Enada , Pagkozidis Ilias , Exidari Maria , Gioula Georgia , Chatzidimitriou Maria , Tirodimos Ilias , Dardavesis Theodoros , Tsimtsiou Zoi
Published: July 2024

Health professionals’ recommendations increase vaccine uptake. We aimed to document stances, practices regarding adult vaccination, and their predictors among undergraduate medical and biomedical science students, as well as their perspectives on increasing vaccine confidence. Among the 430 participants, third-year students from two universities in Greece, only 25.4% were in favor of all vaccines, while no refuters were detected. Predictors of recommending vaccination were the Attitudes Towards Adult Vaccination (ATAVAC) Value (OR 3.26, p < 0.001) and ATAVAC Safety subscales scores (OR 1.36, p < 0.05), being a medical student (OR 2.45, p < 0.05), and having better self-rated health status (OR 2.27, p < 0.05). The importance of getting vaccinated as health professionals was recognized by participants with a higher ATAVAC value (OR 5.39, p < 0.001), ATAVAC Safety scores (OR 1.46, p < 0.05), and increased knowledge regarding the National Immunization Program (OR 1.31, p < 0.05). The God Locus of Health Control (GLHC) was a predictor only in vaccination against COVID-19 (OR 0.91, p < 0.05). Improving community health literacy and health providers’ education, boosting trust in authorities, and adopting a person-centered approach emerged as the main themes regarding how to increase vaccine confidence. Mapping health professionals’ confidence in vaccines and providing lifelong training support is pivotal in supporting positive attitudes, enhancing their competence, and promoting vaccination in the post-COVID-19 era.