bluuebunny/crossref_metadata_2025 huggingface dataset:
Comprehensive Analysis of Rheological, Mechanical, and Thermal Properties in Poly(lactic acid)/Oxidized Graphite Composites: Exploring the Effect of Heat Treatment on Elastic Modulus
Authors: Mendoza-Duarte Mónica Elvira , Vega-Rios Alejandro
Published: February 2024

This study is focused on investigating the rheological and mechanical properties of highly oxidized graphite (GrO) incorporated into a poly (lactic acid) (PLA) matrix composite. Furthermore, the samples were annealed at 110 °C for 30 min to study whether GrO concentration has an effect on the elastic modulus (E’) after treatment. The incorporation of GrO into PLA was carried out by employing an internal mixing chamber at 190 °C. Six formulations were prepared with GrO concentrations of 0, 0.1, 0.5, 1, 1.5, and 3 wt%. The thermal stability, thermomechanical behavior, and crystallinity of the composites were evaluated utilizing thermogravimetric analysis (TGA), dynamic mechanical analysis (DMA), and differential scanning calorimetry DSC, respectively. The thermal stability (according to Tmax) of the PLA/GrO composites did not change substantially compared with PLA. According to DSC, the crystallinity increased until the GrO concentration reached 1 wt% and afterward decreased. Regarding the heat treatment of the PLA/GrO composites, the E’ increased (by two orders of magnitude) at 80 °C with the maximum value achieved at 1 wt% GrO compared with the non-heat-treated composites.
Water-Based Generators with Cellulose Acetate: Uncovering the Mechanisms of Power Generation
Authors: Lee Seung-Hwan , Lee Hyun-Woo , Baek So Hyun , Yun Jeungjai , Kwon Yongbum , Song Yoseb , Kim Bum Sung , Choa Yong-Ho , Jeong Da-Woon
Published: February 2024

Power generation technologies based on water movement and evaporation use water, which covers more than 70% of the Earth’s surface and can also generate power from moisture in the air. Studies are conducted to diversify materials to increase power generation performance and validate energy generation mechanisms. In this study, a water-based generator was fabricated by coating cellulose acetate with carbon black. To optimize the generator, Fourier-transform infrared spectroscopy, specific surface area, zeta potential, particle size, and electrical performance analyses were conducted. The developed generator is a cylindrical generator with a diameter of 7.5 mm and length of 20 mm, which can generate a voltage of 0.15 V and current of 82 μA. Additionally, we analyzed the power generation performance using three factors (physical properties, cation effect, and evaporation environment) and proposed an energy generation mechanism. Furthermore, we developed an eco-friendly and low-cost generator using natural fibers with a simple manufacturing process. The proposed generator can contribute to the identification of energy generation mechanisms and is expected to be used as an alternative energy source in the future.
On Cyclic-Fatigue Crack Growth in Carbon-Fibre-Reinforced Epoxy–Polymer Composites
Authors: Michel Silvain , Murphy Neal , Kinloch Anthony J. , Jones Rhys
Published: February 2024

The growth of cracks between plies, i.e., delamination, in continuous fibre polymer matrix composites under cyclic-fatigue loading in operational aircraft structures has always been a very important factor, which has the potential to significantly decrease the service life of such structures. Whilst current designs are based on a ‘no growth’ design philosophy, delamination growth can nevertheless arise in operational aircraft and compromise structural integrity. To this end, the present paper outlines experimental and data reduction procedures for continuous fibre polymer matrix composites, based on a linear elastic fracture mechanics approach, which are capable of (a) determining and computing the fatigue crack growth (FCG) rate, da/dN, curve; (b) providing two different methods for determining the mandated worst-case FCG rate curve; and (c) calculating the fatigue threshold limit, below which no significant FCG occurs. Two data reduction procedures are proposed, which are based upon the Hartman-Schijve approach and a novel simple-scaling approach. These two different methodologies provide similar worst-case curves, and both provide an upper bound for all the experimental data. The calculated FCG threshold values as determined from both methodologies are also in very good agreement.
Pressure Pulsation Characteristics of a Self-Priming Pump under Typical Operating Conditions
Authors: Zhao Yan-Juan , Li Jin-Fu , Zhang Yu-Liang , Xu Xiao-Wei , Tong Liang-Huai
Published: February 2024

To investigate the pressure pulsation characteristics of self-priming pumps under different flow conditions, Fluent 19.2 software was used to numerically calculate the internal flow inside a self-priming pump by means of the RNG k-ε model. The pressure pulsation characteristics, as well as the standard deviation in the volute and impeller domains, were analyzed under different flow conditions. As a result, under rated- and high-flow conditions, the monitoring points in the volute channel have obvious periodic patterns, and the peak pressure pulsations all occur in the octave band of the blade frequency. The pressure pulsation amplitude is larger under the high-flow condition than in the other two conditions. The monitoring points L1 and L5 on the impeller channel centerline are located near the impeller’s inlet and outlet, respectively, so the pressure pulsations are larger than other monitoring points.
Renewable Energy and Green Metallurgy Technology
Authors: Yao Xin , Xie Huaqing
Published: February 2024

Iron and steel are regarded as the foundation for national development, but their processing consumes huge amounts of fossil fuel and produces large amounts of carbon dioxide gas, which is not conducive to the sustainable development of society [...]
Personal Aspects of Religiosity and Civic Engagement: The Mediating Role of Prayer
Authors: Tatala Małgorzata , Klamut Ryszard , Timoszyk-Tomczak Celina
Published: February 2024

The aim of the presented research was to test the relationship between basic beliefs about a religious object (Transcendence, God) operationalized by Hutsebaut and various forms of civic engagement. In discovering these relationships, the mediating role of prayer importance, understood as an indicator of the strength of commitment to the relationship with God, was taken into account. In the study conducted with 535 young adults, the following tools were used: Post-Critical Belief Scale, Civic Engagement Questionnaire and Prayer Importance Scale. The results showed that social activities were more strongly associated with beliefs accepting the existence of God, while political activities were more strongly linked with attitudes rejecting the existence of God. Prayer importance was shown to mediate the relationship between beliefs accepting the existence of God and social activities and to increase the strength of service-oriented activities.
Dissembling Bodily and Literary Wholeness: Centering the Spirit in Disability Studies through Black Women’s Writing
Authors: Hinton Anna
Published: February 2024

In this article, I analyze Gloria Naylor’s Mama Day and Erna Brodber’s Myal in order to demonstrate that African-derived spiritual systems are central in Black women’s fictional depictions and theorizing of healing and disability. I argue that the violence of what Moya Bailey terms misogynoir is writ on Black women’s body, mind, and spirit—the latter of which is absent in disability studies frameworks yet central to healing and liberation in this literature. These writings present a syncretized spirituality drawn from African Diasporic, African Indigenous, and Indigenous American religious beliefs that have a more capacious understanding of wholeness and wellness to reimagine healing in ways that make space for a diversity of bodymindspirits. Black spiritual practice enables self-love and acceptance of disabled Black womanhood, and the Word, Nommo, bestows spiritual healing power.
Hinduism and Hindu Nationalism: From the Editor’s Desk
Authors: Sen Amiya P.
Published: February 2024

The essays included in this collection critically engage with the vexed question of relating Hinduism to Hindu nationalism [...]
The Individual and the Collective: From the Confucian Perspective
Authors: Wang Zhongjiang
Published: February 2024

Human existence as an autonomous individual or an interdependent member of a community is not an exclusive choice [...]
Robust Portfolio Optimization with Environmental, Social, and Corporate Governance Preference
Authors: Escobar-Anel Marcos , Jiao Yiyao
Published: February 2024

This study addresses the crucial but under-explored topic of ambiguity aversion, i.e., model misspecification, in the area of environmental, social, and corporate governance (ESG) within portfolio decisions. It considers a risk- and ambiguity-averse investor allocating resources to a risk-free asset, a market index, a green stock, and a brown stock. The study employs a robust control approach rooted in relative entropy to account for model misspecification and derive closed-form optimal investment strategies. The key contribution of this study includes demonstrating, using two sets of empirical data on asset returns and ESG ratings, the substantial influence of ambiguity on optimal trading strategies, particularly highlighting the differential effects of market, green, and brown ambiguities. As a by-product of our analytical solutions, the study contrasts ambiguity-averse investors with their non-ambiguity counterparts, revealing more cautious risk exposures with a reduction in short-selling positions for the former. Furthermore, three types of investors who employ popular suboptimal strategies are identified, together with two loss measures used to quantify their performance. The findings reveal that popular strategies, not accounting for ESG and misspecification in the model, could lead to significant financial costs, with the extent of loss varying depending on those two factors: investors’ ambiguity aversion profiles and ESG preferences.
Attention-Based Monocular Depth Estimation Considering Global and Local Information in Remote Sensing Images
Authors: Lv Junwei , Zhang Yueting , Guo Jiayi , Zhao Xin , Gao Ming , Lei Bin
Published: February 2024

Monocular depth estimation using a single remote sensing image has emerged as a focal point in both remote sensing and computer vision research, proving crucial in tasks such as 3D reconstruction and target instance segmentation. Monocular depth estimation does not require multiple views as references, leading to significant improvements in both time and efficiency. Due to the complexity, occlusion, and uneven depth distribution of remote sensing images, there are currently few monocular depth estimation methods for remote sensing images. This paper proposes an approach to remote sensing monocular depth estimation that integrates an attention mechanism while considering global and local feature information. Leveraging a single remote sensing image as input, the method outputs end-to-end depth estimation for the corresponding area. In the encoder, the proposed method employs a dense neural network (DenseNet) feature extraction module with efficient channel attention (ECA), enhancing the capture of local information and details in remote sensing images. In the decoder stage, this paper proposes a dense atrous spatial pyramid pooling (DenseASPP) module with channel and spatial attention modules, effectively mitigating information loss and strengthening the relationship between the target’s position and the background in the image. Additionally, weighted global guidance plane modules are introduced to fuse comprehensive features from different scales and receptive fields, finally predicting monocular depth for remote sensing images. Extensive experiments on the publicly available WHU-OMVS dataset demonstrate that our method yields better depth results in both qualitative and quantitative metrics.
Increased Warming Efficiencies of Lake Heatwaves Enhance Dryland Lake Warming over China
Authors: Wu Yuchen , Ji Fei , Wang Siyi , He Yongli , Hu Shujuan
Published: February 2024

Lake surface water temperature (LSWT) has significantly increased over China and even globally in recent decades due to climate change. However, the responses of LSWTs to climate warming in various climatic regions remain unclear due to the limited lake observations. Satellite-observed LSWT data from the Moderate Resolution Imaging Spectroradiometer (MODIS) dataset were extended using the air2water model. This research aimed to investigate summer LSWT trends across various climatic zones in China, shedding light on the complex interplay between surface air temperatures and LSWT from 1950 to 2020. The results demonstrate robust model performance, with high Nash–Sutcliffe efficiency coefficients, affirming its capability to simulate LSWT variability. Regional disparities in LSWT patterns are identified, revealing notable warming trends in dryland lakes, particularly in central Inner Mongolia. Notably, the study unveils a substantial increase in the intensity and duration of lake heatwaves, especially in semi-arid regions. Dryland lake heatwaves emerge as dominant contributors to intensified LSWT warming, showcasing stronger and longer-lasting events than humid regions. The research highlights a positive feedback loop between lake warming and heatwaves, further amplifying dryland LSWT warming. These findings underscore the vulnerability of dryland lakes to climate change and signal the potential ramifications of increased greenhouse gas concentrations.
Challenges and Limitations of Remote Sensing Applications in Northern Peatlands: Present and Future Prospects
Authors: Abdelmajeed Abdallah Yussuf Ali , Juszczak Radosław
Published: February 2024

This systematic literature review (SLR) provides a comprehensive overview of remote sensing (RS) applications in northern peatlands from 2017 to 2022, utilising various platforms, including in situ, UAV, airborne, and satellite technologies. It addresses the challenges and limitations presented by the sophisticated nature of northern peatland ecosystems. This SLR reveals an in-creased focus on mapping, monitoring, and hydrology but identifies noticeable gaps in peatland degradation research. Despite the benefits of remote sensing, such as extensive spatial coverage and consistent monitoring, challenges persist, including high costs, underexplored areas, and limitations in hyperspectral data application. Fusing remote sensing data with on-site research offers new insights for regional peatland studies. However, challenges arise from issues like the cost of high-resolution data, coverage limitations, and inadequate field validation data in remote areas. This review suggests refining methodologies, validating with high-resolution data, and addressing these limitations for future research.
Digital Twin Virtual Welding Approach of Robotic Friction Stir Welding Based on Co-Simulation of FEA Model and Robotic Model
Authors: Chen Shujun , Zong Guanchen , Kang Cunfeng , Jiang Xiaoqing
Published: February 2024

Robotic friction stir welding has become an important research direction in friction stir welding technology. However, the low stiffness of serial industrial robots leads to substantial, difficult-to-measure end-effector deviations under the welding forces during the friction stir welding process, impacting the welding quality. To more effectively measure the deviations in the end-effector, this study introduces a digital twin model based on the five-dimensional digital twin theory. The model obtains the current data of the robot and six-axis force sensor and calculates the real-time end deviations using the robot model. Based on this, a virtual welding model was realized by integrating the FEA model with the digital twin model using a co-simulation approach. This model achieves pre-process simulation by iteratively cycling through the simulated force from the FEA model and the end displacement from the robot model. The virtual welding model effectively predicts the welding outcomes with a mere 6.9% error in lateral deviation compared to actual welding, demonstrating its potential in optimizing welding parameters and enhancing accuracy and quality. Employing digital twin models to monitor, simulate, and optimize the welding process can reduce risks, save costs, and improve efficiency, providing new perspectives for optimizing robotic friction stir welding processes.
Systematic Literature Review Regarding Heart Rate and Respiratory Rate Measurement by Means of Radar Technology
Authors: Liebetruth Magdalena , Kehe Kai , Steinritz Dirk , Sammito Stefan
Published: February 2024

The use of radar technology for non-contact measurement of vital parameters is increasingly being examined in scientific studies. Based on a systematic literature search in the PubMed, German National Library, Austrian Library Network (Union Catalog), Swiss National Library and Common Library Network databases, the accuracy of heart rate and/or respiratory rate measurements by means of radar technology was analyzed. In 37% of the included studies on the measurement of the respiratory rate and in 48% of those on the measurement of the heart rate, the maximum deviation was 5%. For a tolerated deviation of 10%, the corresponding percentages were 85% and 87%, respectively. However, the quantitative comparability of the results available in the current literature is very limited due to a variety of variables. The elimination of the problem of confounding variables and the continuation of the tendency to focus on the algorithm applied will continue to constitute a central topic of radar-based vital parameter measurement. Promising fields of application of research can be found in particular in areas that require non-contact measurements. This includes infection events, emergency medicine, disaster situations and major catastrophic incidents.
A Building Extraction Method for High-Resolution Remote Sensing Images with Multiple Attentions and Parallel Encoders Combining Enhanced Spectral Information
Authors: Pang Zhaojun , Hu Rongming , Zhu Wu , Zhu Renyi , Liao Yuxin , Han Xiying
Published: February 2024

Accurately extracting pixel-level buildings from high-resolution remote sensing images is significant for various geographical information applications. Influenced by different natural, cultural, and social development levels, buildings may vary in shape and distribution, making it difficult for the network to maintain a stable segmentation effect of buildings in different areas of the image. In addition, the complex spectra of features in remote sensing images can affect the extracted details of multi-scale buildings in different ways. To this end, this study selects parts of Xi’an City, Shaanxi Province, China, as the study area. A parallel encoded building extraction network (MARS-Net) incorporating multiple attention mechanisms is proposed. MARS-Net builds its parallel encoder through DCNN and transformer to take advantage of their extraction of local and global features. According to the different depth positions of the network, coordinate attention (CA) and convolutional block attention module (CBAM) are introduced to bridge the encoder and decoder to retain richer spatial and semantic information during the encoding process, and adding the dense atrous spatial pyramid pooling (DenseASPP) captures multi-scale contextual information during the upsampling of the layers of the decoder. In addition, a spectral information enhancement module (SIEM) is designed in this study. SIEM further enhances building segmentation by blending and enhancing multi-band building information with relationships between bands. The experimental results show that MARS-Net performs better extraction results and obtains more effective enhancement after adding SIEM. The IoU on the self-built Xi’an and WHU building datasets are 87.53% and 89.62%, respectively, while the respective F1 scores are 93.34% and 94.52%.
High-Precision Atom Interferometer-Based Dynamic Gravimeter Measurement by Eliminating the Cross-Coupling Effect
Authors: Zhou Yang , Wang Wenzhang , Ge Guiguo , Li Jinting , Zhang Danfang , He Meng , Tang Biao , Zhong Jiaqi , Zhou Lin , Li Runbing , Mao Ning , Che Hao , Qian Leiyuan , Li Yang , Qin Fangjun , Fang Jie , Chen Xi , Wang Jin , Zhan Mingsheng
Published: February 2024

A dynamic gravimeter with an atomic interferometer (AI) can perform absolute gravity measurements with high precision. AI-based dynamic gravity measurement is a type of joint measurement that uses an AI sensor and a classical accelerometer. The coupling of the two sensors may degrade the measurement precision. In this study, we analyzed the cross-coupling effect and introduced a recovery vector to suppress this effect. We improved the phase noise of the interference fringe by a factor of 1.9 by performing marine gravity measurements using an AI-based gravimeter and optimizing the recovery vector. Marine gravity measurements were performed, and high gravity measurement precision was achieved. The external and inner coincidence accuracies of the gravity measurement were ±0.42 mGal and ±0.46 mGal after optimizing the cross-coupling effect, which was improved by factors of 4.18 and 4.21 compared to the cases without optimization.
Experimental In Vitro Microfluidic Calorimetric Chip Data towards the Early Detection of Infection on Implant Surfaces
Authors: Vehusheia Signe L. K. , Roman Cosmin I. , Arnoldini Markus , Hierold Christofer
Published: February 2024

Heat flux measurement shows potential for the early detection of infectious growth. Our research is motivated by the possibility of using heat flux sensors for the early detection of infection on aortic vascular grafts by measuring the onset of bacterial growth. Applying heat flux measurement as an infectious marker on implant surfaces is yet to be experimentally explored. We have previously shown the measurement of the exponential growth curve of a bacterial population in a thermally stabilized laboratory environment. In this work, we further explore the limits of the microcalorimetric measurements via heat flux sensors in a microfluidic chip in a thermally fluctuating environment.
A Microwave Differential Dielectric Sensor Based on Mode Splitting of Coupled Resonators
Authors: Almuhlafi Ali M. , Alshaykh Mohammed S. , Alajmi Mansour , Alshammari Bassam , Ramahi Omar M.
Published: February 2024

This study explores the viability of using the avoided mode crossing phenomenon in the microwave regime to design microwave differential sensors. While the design concept can be applied to any type of planar electrically small resonators, here, it is implemented on split-ring resonators (SRRs). We use two coupled synchronous SRRs loaded onto a two-port microstrip line system to demonstrate the avoided mode crossing by varying the distance between the split of the resonators to control the coupling strength. As the coupling becomes stronger, the split in the resonance frequencies of the system increases. Alternatively, by controlling the strength of the coupling by materials under test (MUTs), we utilize the system as a microwave differential sensor. First, the avoided mode crossing is theoretically investigated using the classical microwave coupled resonator techniques. Then, the system is designed and simulated using a 3D full-wave numerical simulation. To validate the concept, a two-port microstrip line, which is magnetically coupled to two synchronous SRRs, is utilized as a sensor, where the inter-resonator coupling is chosen to be electric coupling controlled by the dielectric constant of MUTs. For the experimental validation, the sensor was fabricated using printed circuit board technology. Two solid slabs with dielectric constants of 2.33 and 9.2 were employed to demonstrate the potential of the system as a novel differential microwave sensor.
Developing a Flying Explorer for Autonomous Digital Modelling in Wild Unknowns
Authors: Zhang Naizhong , Pan Yaoqiang , Jin Yangwen , Jin Peiqi , Hu Kewei , Huang Xiao , Kang Hanwen
Published: February 2024

Digital modelling stands as a pivotal step in the realm of Digital Twinning. The future trend of Digital Twinning involves automated exploration and environmental modelling in complex scenes. In our study, we propose an innovative solution for robot odometry, path planning, and exploration in unknown outdoor environments, with a focus on Digital modelling. The approach uses a minimum cost formulation with pseudo-randomly generated objectives, integrating multi-path planning and evaluation, with emphasis on full coverage of unknown maps based on feasible boundaries of interest. The approach allows for dynamic changes to expected targets and behaviours. The evaluation is conducted on a robotic platform with a lightweight 3D LiDAR sensor model. The robustness of different types of odometry is compared, and the impact of parameters on motion planning is explored. The consistency and efficiency of exploring completely unknown areas are assessed in both indoor and outdoor scenarios. The experiment shows that the method proposed in this article can complete autonomous exploration and environmental modelling tasks in complex indoor and outdoor scenes. Finally, the study concludes by summarizing the reasons for exploration failures and outlining future focuses in this domain.
Microfluidic Paper-Based Device Incorporated with Silica Nanoparticles for Iodide Quantification in Marine Source Dietary Supplements
Authors: Pereira Mafalda G. , Machado Ana , Leite Andreia , Rangel Maria , Bordalo Adriano , Rangel António O. S. S. , Mesquita Raquel B. R.
Published: February 2024

Iodine is an essential micronutrient for humans due to its fundamental role in the biosynthesis of thyroid hormones. As a key parameter to assess health conditions, iodine intake needs to be monitored to ascertain and prevent iodine deficiency. Iodine is available from various food sources (such as seaweed, fish, and seafood, among others) and dietary supplements (multivitamins or mineral supplements). In this work, a microfluidic paper-based analytical device (μPAD) to quantify iodide in seaweed and dietary supplements is described. The developed μPAD is a small microfluidic device that emerges as quite relevant in terms of its analytical capacity. The quantification of iodide is based on the oxidation of 3,3′,5,5′-tetramethylbenzidine (TMB) by hydrogen peroxide in the presence of iodine, which acts as the catalyst to produce the blue form of TMB. Additionally, powder silica was used to intensify and uniformize the colour of the obtained product. Following optimization, the developed μPAD enabled iodide quantification within the range of 10–100 µM, with a detection limit of 3 µM, and was successfully applied to seaweeds and dietary supplements. The device represents a valuable tool for point-of-care analysis, can be used by untrained personnel at home, and is easily disposable, low-cost, and user-friendly.
Research on the Effect of Vibrational Micro-Displacement of an Astronomical Camera on Detector Imaging
Authors: Liu Bin , Guan Shouxin , Wang Feicheng , Zhang Xiaoming , Yu Tao , Wei Ruyi
Published: February 2024

Scientific-grade cameras are frequently employed in industries such as spectral imaging technology, aircraft, medical detection, and astronomy, and are characterized by high precision, high quality, fast speed, and high sensitivity. Especially in the field of astronomy, obtaining information about faint light often requires long exposure with high-resolution cameras, which means that any external factors can cause the camera to become unstable and result in increased errors in the detection results. This paper aims to investigate the effect of displacement introduced by various vibration factors on the imaging of an astronomical camera during long exposure. The sources of vibration are divided into external vibration and internal vibration. External vibration mainly includes environmental vibration and resonance effects, while internal vibration mainly refers to the vibration caused by the force generated by the refrigeration module inside the camera during the working process of the camera. The cooling module is divided into water-cooled and air-cooled modes. Through the displacement and vibration experiments conducted on the camera, it is proven that the air-cooled mode will cause the camera to produce greater displacement changes relative to the water-cooled mode, leading to blurring of the imaging results and lowering the accuracy of astronomical detection. This paper compares the effects of displacement produced by two methods, fan cooling and water-circulation cooling, and proposes improvements to minimize the displacement variations in the camera and improve the imaging quality. This study provides a reference basis for the design of astronomical detection instruments and for determining the vibration source of cameras, which helps to promote the further development of astronomical detection.
Implementation of Automated Guided Vehicles for the Automation of Selected Processes and Elimination of Collisions between Handling Equipment and Humans in the Warehouse
Authors: Kubasakova Iveta , Kubanova Jaroslava , Benco Dominik , Kadlecová Dominika
Published: February 2024

This article deals with the implementation of automated guided vehicles (AGVs) in a selected company. The aim is to analyse the use of AGVs in our country and abroad and to provide information about the use of AGVs in other countries and operations other than ours. The result of the analysis was a literature review, which points out the individual advantages and disadvantages of the use of AGVs in companies. Within the review we also address the issue of AMR vehicles, due to the modernization of existing AGVs in the company, or the replacement of AMRs with AGVs in general. Our aim is to show why AGVs can replace human work. This is mainly because of the continuous increase in the wages of employees, because of safety, but also because of the modernization of the selected company. The company has positive experience of AGVs in other sites. We wanted to point out a higher form of automation, and how it would be possible to use AMR vehicles for the same work as AGVs. In the company, we have identified jobs where we would like to introduce AGVs or AMR vehicles. Consequently, we chose the AGV from CEIT operated by magnetic tape and the AMR from SEER as an example. Based on studies, the demand for AGVs is expected to increase by up to 17% in 2019–2024. Therefore, the company is looking into the issue of the implementation of AGVs at multiple sites. The question which remains is the economic return and the possibility of investing in the automation of processes in the company, which we discuss in more detail in the conclusion of the article and in the research. The article describes the exact processes for AGVs, their workload, and also the routes for AGVs, such as loading/unloading points, stopping points, checkpoints, junctions with other AGVs, charging stations, and field elements, as well as their speed, frequency and the possibility of collision with other AGVs. Our research shows that by applying the new technology, the company will save a large amount of money on employee wages. The purchase of two AGVs will cost the company EUR 49,000, while the original technology used in the company cost EUR 79,200 annually. The payback period for such an investment is 8 months. The benefits of implementing AGVs are evaluated in the last section of this paper, where both the economic and time requirements of the different proposals are included. This section also includes recommendations for improving specific parts of the enterprise.
Small and Micro-Water Quality Monitoring Based on the Integration of a Full-Space Real 3D Model and IoT
Authors: He Yuanrong , Yang Yujie , He Tingting , Lai Yangfeng , He Yudong , Chen Bingning
Published: February 2024

In order to address the challenges of small and micro-water pollution in parks and the low level of 3D visualization of water quality monitoring systems, this research paper proposes a novel wireless remote water quality monitoring system that combines the Internet of Things (IoT) and a 3D model of reality. To begin with, the construction of a comprehensive 3D model relies on various technologies, including unmanned aerial vehicle (UAV) tilt photography, 3D laser scanning, unmanned ship measurement, and close-range photogrammetry. These techniques are utilized to capture the park’s geographical terrain, natural resources, and ecological environment, which are then integrated into the three-dimensional model. Secondly, GNSS positioning, multi-source water quality sensors, NB-IoT wireless communication, and video surveillance are combined with IoT technologies to enable wireless remote real-time monitoring of small and micro-water bodies. Finally, a high-precision underwater, indoor, and outdoor full-space real-scene three-dimensional visual water quality monitoring system integrated with IoT is constructed. The integrated system significantly reduces water pollution in small and micro-water bodies and optimizes the water quality monitoring system.
Feasibility Study for Monitoring an Ultrasonic System Using Structurally Integrated Piezoceramics
Authors: Werner Jonas M. , Krüger Tim , Drossel Welf-Guntram
Published: February 2024

This paper presents a new approach to monitoring ultrasonic systems using structurally integrated piezoceramics. These are integrated into the sonotrode at different points and with different orientations. The procedure for integrating the piezoceramics into the sonotrode and their performance is experimentally investigated. We examine whether the measured signal can be used to determine the optimal operating frequency of the ultrasonic system, if integrating several piezoceramics enables discernment of the current vibration shape, and if the piezoceramics can withstand the high strains caused by the vibrations in a frequency range of approximately 20–25 kHz. The signals from the piezoceramic sensors are compared to the real-time displacement at different points of the sonotrode using a 3D laser scanning vibrometer. To evaluate the performance of the sensors, different kinds of excitation of the ultrasonic system are chosen.
Decentralized IoT Data Authentication with Signature Aggregation
Authors: Bojič Burgos Jay , Pustišek Matevž
Published: February 2024

The rapid expansion of the Internet of Things (IoT) has introduced significant challenges in data authentication, necessitating a balance between scalability and security. Traditional approaches often rely on third parties, while blockchain-based solutions face computational and storage bottlenecks. Our novel framework employs edge aggregating servers and Ethereum Layer 2 rollups, offering a scalable and secure IoT data authentication solution that reduces the need for continuous, direct interaction between IoT devices and the blockchain. We utilize and compare the Nova and Risc0 proving systems for authenticating batches of IoT data by verifying signatures, ensuring data integrity and privacy. Notably, the Nova prover significantly outperforms Risc0 in proving and verification times; for instance, with 10 signatures, Nova takes 3.62 s compared to Risc0’s 369 s, with this performance gap widening as the number of signatures in a batch increases. Our framework further enhances data verifiability and trust by recording essential information on L2 rollups, creating an immutable and transparent record of authentication. The use of Layer 2 rollups atop a permissionless blockchain like Ethereum effectively reduces on-chain storage costs by approximately 48 to 57 times compared to direct Ethereum use, addressing cost bottlenecks efficiently.
The Relationship between Psychosocial and Work Stress among Construction Professionals during the COVID-19 Pandemic
Authors: Miyanda Cheryl Khairunnisa , Erwandi Dadan , Lestari Fatma , Kadir Abdul
Published: February 2024

Many aspects of society were impacted by the COVID-19 pandemic, including physical health, psychological well-being, social dynamics, and the economy. The construction sector experienced a significant influence from the pandemic. This research aimed to analyze the relationship between psychosocial factors (individual, home, and work factors) and the level of work distress among construction sector workers during the COVID-19 pandemic. This study employed a quantitative analytical approach with a cross-sectional design. Data collection took place in November–December 2021, and the total sample that met the inclusion criteria was 110 respondents. Work distress and psychosocial data were collected using a questionnaire that had undergone validity and reliability tests. Univariate analyses (frequency distribution), bivariate analyses (chi-square test), and multivariate analyses (multiple logistic regression tests) were conducted to analyze the data. The research revealed that the most closely related variables to the work distress levels were work duration, followed by employment status and career opportunities. This study underscores the importance of regulating working hours and providing opportunities for permanent employment and career advancement for the mental health of construction workers.
Attenuation of Pulmonary Damage Associated with COPD in a Cadmium-Exposed Model Due to the Administration of a siRNA Targeting PAD4
Authors: Ocampo-Ortega Sergio Adrian , Cabrera-Becerra Sandra Edith , Sierra-Sanchez Vivany Maydel , García-Rubio Vanessa Giselle , Blancas-Napoles Citlali Margarita , Romero-Nava Rodrigo , Huang Fengyang , Hong Enrique , Aguilera-Méndez Asdrúbal , Villafaña Santiago
Published: February 2024

Chronic obstructive pulmonary disease (COPD), characterised by persistent airflow limitation during breathing, is considered to be the third leading cause of death worldwide. Among the mechanisms involved in this pathology is the excessive generation of neutrophil extracellular traps (NETs), which can induce an unwanted inflammatory response. These traps have been reported to be generated by the enzyme peptidyl arginine deiminase 4 (PAD4). The aim of this work is therefore to evaluate the effect of the administration of a siRNA targeting PAD4 on lung damage in a COPD animal model. Wistar rats weighing 300–350 g were administered cadmium chloride (5 mg/kg i.p.) every 24 h. Then, following one week of the administration of cadmium chloride, the PAD4-targeted siRNA was administered, and at the second week, lung function was measured, as were lung and heart weights, as well as PAD4 expression by RT-PCR. Our results showed that cadmium administration generated a COPD model, which increased PAD4 expression and decreased lung and heart weights and respiratory function. SiRNA administration partially reversed the changes associated with the COPD model. In conclusion, our results suggest that administration of an siRNA targeting PAD4 could improve respiratory function by decreasing lung and heart damage.
A Study on Sensitivity of Soil-Based Building Mixtures to Biodeterioration by Fungi: Towards Sustainable Earth Structures
Authors: Al-Jokhadar Amer , Soudi Yasmine , Abdelmalek Suzanne , Badran Sarah R. , Abuhashem Yasser
Published: February 2024

Earth structures have a significant sustainable impact on regulating indoor environmental qualities. Yet, using soil materials can lead to fungal growth, impacting occupant health and structural stability. This study investigates the susceptibility of earth-based construction materials with cement, limestone, and acrylic-based additives to fungal growth. Laboratory tests were conducted on mixtures under conditions found in inhabited buildings in hot–arid regions. The proposed methodology was based on a 7-week artificial incubation of fungi obtained from moldy walls through regulating the room temperature to fall between 18 °C and 19 °C and a controlled humidity level of around 45%. These conditions were adopted according to the readings monitored in typical buildings in the study area. The results showed that fungal growth was evident on the surface of mixtures, including higher percentages of soil and lower percentages of additives. Mixtures comprising 50% soil, 15% acrylic-based additive, 15% quicklime, and 20% cement supported the least fungal growth, presenting the best choice as a sustainable, efficient replacement. Visual observation followed by microscopic examination ensured the results. Furthermore, results of an environmental post-occupancy evaluation of a constructed rammed earth building using the optimized mixture showed no signs of fungal proliferation on the inner walls afterward.
Enhancing the Performance of a Hazardous Waste Incineration Facility through the Usage of a Dedicated Application
Authors: Jaworski Tomasz , Wajda Agata , Jaworska-Bytomska Katarzyna
Published: February 2024

Thermal transformation of waste carried out in a rotary kiln is a complex process, usually involving hazardous waste. Due to the great diversity of these wastes and their specific properties, the process of their thermal transformation may be associated with various types of operational problems. The reasons for their occurrence include, among others, processes potentially affecting the deterioration of the condition of the rotary kiln lining. In order to minimize problems, a tool is proposed to support the work of incineration plant operators. This is an application that enables generation of input material portions in subsequent kiln feeds. It is characterized by wide functionality, including the ability to assign higher weights to selected parameters. The application is based on an algorithm that takes into account the key waste parameters from the point of view of the thermal process, which have been given specific value ranges. Two series of simulations were performed with the same assumptions except for change in the weight for one of the parameters in the second case. In the first series, the following ranges of the considered parameters were obtained: calorific value 14.96–20.66 MJ/kg, pH 5.59–8.11, content of alkaline salts 1.42–7.39, content of chlorine 1.1–3.83, content of halogens 0.08–0.97. In the second series of simulations, the favored parameter was the calorific value, which ranged from 17.08 MJ/kg to 18.69 MJ/kg. The range of values for the remaining parameters changed slightly, with all meeting the criteria. Application tests showed the generation of waste mixtures with parameters consistent with the established ranges.
Reconceptualizing Proximity Measurement Approaches through the Urban Discourse on the X-Minute City
Authors: Megahed Gehad , Elshater Abeer , Afifi Samy , Elrefaie Mohab Abdelmoneim
Published: February 2024

The “x-minute city” concept gained attention within the global urban discourse on post-pandemic cities. Recently, numerous cities have shifted their attention from considering the x-minute city merely as a theoretical concept to one with practical applicability, rediscovering the proximity dimension to be integrated into urban policies and plans. Consequently, a requirement emerged to develop comprehensive approaches for monitoring and assessing this proximity. In this perspective, this article seeks to answer two main questions: What are approaches utilized in the literature to measure proximity within the context of “x-minute cities”? How could these measurement models accurately reflect real-world scenarios? The aim is to identify the models and variables required for measuring proximity within the framework of x-minute cities. A review of 38 peer-reviewed articles following the PRISMA statement was performed by searching the Web of Science database for publications from 2020 to 2023. Our results clarified the essential components of the measurement models and presented recommendations for more comprehensive assessments. The findings highlight the variable deficiencies that affect proximity measurement approaches. The recommendations hold the potential to enhance measurement models, contributing to the development of urban communities that are more accessible and interconnected.
Sustainable Materials for Jewelry: Scenarios from a Design Perspective
Authors: Tenuta Livia , Testa Susanna , Antinarelli Freitas Francesca , Cappellieri Alba
Published: February 2024

The complex nature of materiality describes the modern era and raises several questions, especially regarding sustainability. With the significant expansion of science and industry, the variety of materials available for designers is unlimited, and they are no longer forced to use materials that are provided directly by nature. Therefore, artificial materials are becoming more popular, offering new possibilities from a creative and innovative perspective. This introduces a new, challenging context for the jewelry design practice that should provide a positive and more sustainable approach. The paper aims to define future scenarios for sustainable materials for jewelry merging science and design. Cutting-edge movements are experimentally operating at the intersections of varied fields, occasionally deviating from conventional methods. Primarily, this article is intended to provide an overview of the current advancements in sustainable materials, emphasizing the strengths and potential benefits they could offer. Then, the paper investigates four scenarios as results of the intersection between science and design, highlighting the impact on the jewelry field. Four scenarios will analyze the materials currently employed in different fields and their possible application in future innovative tracks: designing sensibly; reshaping waste; modeling nature; making in lab. Lastly, this paper shows how crucial it is for designers and companies to take a proactive role and become agents to extend access to sustainable solutions.
Exploring Pre-Service Teachers’ Perspectives on the Integration of Digital Game-Based Learning for Sustainable STEM Education
Authors: Gumbi Nonhlanhla Melody , Sibaya Duduzile , Chibisa Admire
Published: February 2024

Digitalization of STEM in higher education is envisioned to foster digital societies through enhanced contextualised engaged learning, digital skills, and access to digital learning resources, specifically in developing countries, including those in Africa. The dearth of empirical evidence validating digitalization hinders implementation. This study aims to investigate pre-service teachers’ perspectives towards the use of digital game-based learning (DGBL) for sustainable development of STEM education and promoting 21st century skills. The study was based on the Technology Acceptance Model (TAM) as a framework. A quantitative survey design was adopted to collect necessary data from 255 pre-service teachers in a South African university. The fitness of the proposed model was acceptable to proceed with partial least squares structural equation modeling analysis. The model accounted for 59% explanatory strength of pre-service teachers’ perspectives towards using DGBL in teaching and learning. Pre-service teachers consistently express noteworthy perspectives on the DGBL approach, emphasizing the capacity to provide diverse learning opportunities, foster heightened engagement, and facilitate contextualised learning experiences. The findings contribute to the empirical validation and role of DGBL in STEM and the design of educational games promoting contextualised self-directed learning for sustainability teaching and learning in higher education.