bluuebunny/crossref_metadata_2025 huggingface dataset:
“Polymerization” of Bimerons in Quasi-Two-Dimensional Chiral Magnets with Easy-Plane Anisotropy
Authors: Mukai Natsuki , Leonov Andrey O.
Published: March 2024

We re-examine the internal structure of bimerons, which are stabilized in easy-plane chiral magnets and represent coupled states of two merons with the same topological charge |1/2| but with opposite vorticity and the polarity. We find that, in addition to the vortices and antivortices, bimerons feature circular regions which are located behind the anti-vortices and bear the rotational sense opposite to the rotational sense chosen by the Dzyaloshinskii–Moriya interaction. In an attempt to eliminate these wrong-twist regions with an excess of positive energy density, bimerons assemble into chains, and as such exhibit an attracting interaction potential. As an alternative to chains, we demonstrate the existence of ring-shaped bimeron clusters of several varieties. In some rings, bimeron dipoles are oriented along the circle and swirl clockwise and/or counterclockwise (dubbed “roundabouts”). Moreover, a central meron encircled by the outer bimerons may possess either positive or negative polarity. In other rings, the bimeron dipoles point towards the center of a ring and consequently couple to the central meron (dubbed “crossings”). We point out that the ringlike solutions for baryons obtained within the Skyrme model of pions, although driven by the same tendency of the energy reduction, yield only one type of bimeron rings. The conditions of stability applied to the described bimeron rings are additionally extended to bimeron networks when bimerons fill the whole space of two-dimensional samples and exhibit combinations of rings and chains dispersed with different spatial density (dubbed bimeron “polymers”). In particular, bimeron crystals with hexagonal and the square bimeron orderings are possible when the sides of the unit cells represent chains of bimerons joined in intersections with three or four bimerons, respectively; otherwise, bimeron networks represent disordered bimeron structures. Moreover, we scrutinize the inter-transformations between hexagonal Skyrmion lattices and disordered bimeron polymers occuring via nucleation and mutual annihilation of merons within the cell boundaries. Our theory provides clear directions for experimental studies of bimeron orderings in different condensed-matter systems with quasi-two-dimensional geometries.
Food Choice and Dietary Perspectives of Young, Urban, Black Pregnant Women: A Focus Group Study
Authors: Burton Tristesse Catessa Jasmin , Crooks Natasha , Pezley Lacey , Hemphill Nefertiti OjiNjideka , Li Yanqiao , Sawatpanich Arissara , Farrow Vanessa , Erbe Katherine , Kessee Nicollette , Reed Luecendia , Tussing-Humphreys Lisa , Koenig Mary Dawn
Published: March 2024

Black pregnant women in Chicago are disproportionately affected by maternal morbidity and mortality and are more likely to reside in neighborhoods that experience greater economic hardships and food apartheid than any other race/ethnicity. Addressing social determinants of health such as structural inequities, economic environment, and food apartheid issues may provide insights into eliminating Black maternal morbidity and mortality disparities. This study explores food choice determinants and dietary perspectives of young, urban, Black pregnant women. Two audio-recorded focus groups were conducted in Chicago, IL between March 2019 and June 2019 to discuss pregnancy experiences and factors affecting maternal nutrition. Thematic analysis was used to identify the codes, themes, and subthemes of the data. Data analysis was guided by the Social Ecological Model (SEM) as a theoretical framework. Eleven, young, Black women were recruited. Three major themes were discussed across the SEM levels that influenced food choice including food access, stress and family influences on eating, and the need for nutritional education during pregnancy. These choices were primarily rooted in the detrimental effects of food apartheid experienced within the participants’ neighborhoods. Therefore, acknowledging, understanding, and addressing food apartheid and its impact on Black maternal health disparities is needed in clinical practice, research, and policy change.
Determinants of Undernutrition among Children Admitted to a Pediatric Hospital in Port Sudan, Sudan
Authors: Chiopris Giulia , Chiopris Caterina , Valenti Manuela , Esposito Susanna
Published: March 2024

Severe acute undernutrition (SAU) is still a crucial global health issue in the 0–59 months population, increasing the risk of mortality as well as of long-term consequences. In Sudan, 3.3 million children suffered from acute malnutrition between 2018 and 2019. This study was planned to evaluate, in the area of Port Sudan, the prevalence of acute undernutrition after the COVID-19 pandemic and to identify the most important factors favoring the development of acute undernutrition. The available clinical records of all the under-five children (n = 1012) admitted to the Port Sudan Emergency Pediatric Hospital from 1 February 2021 to 31 January 2022 were analyzed. The presence of wasting and kwashiorkor was assessed and children were categorized according to age, gender, place of residence, main reason for hospitalization, and underlying comorbidities. Acute undernutrition was evidenced in 493 (48.7%) children. Of them, only 16 (3.2%) were diagnosed with kwashiorkor. Children with SAU had a higher prevalence of acute gastroenteritis (p < 0.05) and parasitosis (p < 0.05). Infants aged 0–6 months were those with the lowest risk of undernutrition, whereas those aged 7–12 months were those with the greater risk. In these patients, multivariate analysis revealed that SAU and MAU were 2.5 times (OR 2.51; 95% CI, 1.79–3.55) and 5.5 times (OR 5.56; 95% CI, 2.59–18.7) higher. This study shows that the area of Port Sudan is still suffering from an alarming prevalence of severe wasting and the risk of developing acute undernutrition seems strictly related to the introduction of complementary feeding and tends to reduce with increasing age. Measures already in place to prevent acute malnutrition should be reinforced with improvement of mother education on child feeding.
Serious Safety Signals and Prediction Features Following COVID-19 mRNA Vaccines Using the Vaccine Adverse Event Reporting System
Authors: Choi Jung Yoon , Lee Yongjoon , Park Nam Gi , Kim Mi Sung , Rhie Sandy Jeong
Published: March 2024

We aimed to analyze the characteristics of serious adverse events following immunizations (AEFIs) to identify potential safety information and prediction features. We screened the individual case safety reports (ICSRs) in adults who received mRNA-based COVID-19 vaccines using the Vaccine Adverse Event Reporting System until December 2021. We identified the demographic and clinical characteristics of ICSRs and performed signal detection. We developed prediction models for serious AEFIs and identified the prognostic features using logistic regression. Serious ICSRs and serious AEFIs were 51,498 and 271,444, respectively. Hypertension was the most common comorbidity (22%). Signal detection indicated that the reporting odds ratio of acute myocardial infarction (AMI) was more than 10 times. Those who had experienced myocardial infarction (MI) were 5.7 times more likely to suffer from MI as an AEFI (95% CI 5.28–6.71). Moreover, patients who had atrial fibrillation (AF), acute kidney injury (AKI), cardiovascular accident (CVA), or pulmonary embolism (PE) were 7.02 times, 39.09 times, 6.03 times, or 3.97 times more likely to suffer from each AEFI, respectively. Our study suggests that vaccine recipients who had experienced MI, AF, AKI, CVA, or PE could require further evaluation and careful monitoring to prevent those serious AEFIs.
Evaluation of Anti-Obesity and Antidiabetic Activities of Orostachys japonicus in Cell and Animal Models
Authors: Lamichhane Ramakanta , Pandeya Prakash Raj , Lee Kyung-Hee , Lamichhane Gopal , Cheon Jae-Young , Park Hyo Shin , Tuan Nguyen Quoc , Jung Hyun-Ju
Published: March 2024

Orostachys japonicus is a popular traditional medicinal herb used in Asian countries. This study is focused on evaluating its role in lipid and glucose metabolism in cell and animal models to establish the plant as an anti-obesity and antidiabetic herb. A butanol fraction of O. japonicus was used in the study. The lipid production was evaluated by the Oil Red O technique while the expression of adipogenic markers by Western blotting and RT-PCR using 3T3-L1 preadipocyte. The effect on glucose uptake activity was evaluated in C2C12 myoblast cells. The animal study was carried out in C57BL mice to evaluate anti-obesity activity using the high-fat diet model. The evaluation of serum lipid, blood glucose, adipogenic and fibrosis markers in the liver, and fat deposition in the liver and adipose tissue (by histology) of mice was conducted. Butanol fraction of O. japonicus significantly inhibited the lipid production in the 3T3-L1 cells and reduced the expression of PPARγ, C/EBPα, SREBP-1c and aP2. It enhanced glucose uptake in insulin-resistant C2C12 myoblast cells. It reduced body weight, triglycerides, and blood glucose in the obese mice. It significantly inhibited lipid accumulation in the liver and adipose tissue of obese mice along with suppression of expression of adipogenic and fibrosis markers in the liver. In summary, supporting the previous results, this study helped to establish the potent anti-obesity, antidiabetic, and liver-protecting effect of the butanol fraction of O. japonicus.
Adverse Reactions to Evolocumab: Analysis of Real-World Data from EudraVigilance
Authors: Calapai Fabrizio , Mannucci Carmen , Currò Mariaconcetta , Cardia Luigi , Esposito Emanuela , Calapai Gioacchino , Ammendolia Ilaria
Published: March 2024

Background: Evolocumab is a humanized immunoglobulin G2 monoclonal antibody, directed against Proprotein Convertase Subtilisin/Kexin type 9 (PCSK9), prescribed in hypercholesterolemic patients. The safety profile of this drug is currently defined by the data of pre-authorization clinical trials. The purpose of this study is to update knowledge of the safety of evolocumab through an analysis of post-marketing real-world data on suspected adverse reactions (SARs), reported by the EudraVigilance database system. Methods: The public version of the EudraVigilance database has been used, and only serious SARs signals were included. Results: Musculoskeletal system disorders, flu-like symptoms, injection-site reactions, skin reactions, and metabolism and nutrition disorders are observed in the post-marketing surveillance, as well as being found in the pre-authorization studies. Not previously signaled in the pre-marketing studies, diarrhea was reported. Furthermore, signals related to cardiac adverse reactions, more frequently at the expense of adults in comparison to elders, were found. Conclusions: The post-marketing safety profile of evolocumab emerging from an analysis of the EudraVigilance data system indicates it is sufficiently safe but suggests the necessity for caution when it is prescribed to hyperlipidemic patients affected by heart diseases.
Simulation Study on 3D Heterogeneous Photonic Integration with Vertical Microring Coupler
Authors: Liu Jiachen , Zeng Yingying , Hu Haifeng , Zhang Ni , Zhan Qiwen , Chen Xiaogang
Published: March 2024

We present a simulation-based study on a 3D heterogeneous photonic integration scheme based on a vertical microring coupler (VμRC). Our research introduces a more compact and efficient layout of photonic devices in the vertical direction, surpassing the limitations of traditional planar integration methods. This investigation focuses on optimizing the performance of the VμRC by analyzing critical parameters such as the dimensions of the microring and the waveguide and the refractive indices of surrounding materials, which serve as the guideline for future manufacturing of the device. The simulation results demonstrate that the careful selection and optimization of these parameters significantly impact the transmittance and coupling characteristics of the VμRC. To demonstrate the validity of this simulation model, we applied it to a few practical cases and achieved comparable results with our previous experiments.
State-of-the-Art Materials Used in MEMS Micromirror Arrays for Photonic Applications
Authors: Liu Shujie , Kästner Philipp , Donatiello Roland , Shrivastava Anup , Smolarczyk Marek , Iskhandar Mustaqim Siddi Que , Hasan Md Kamrul , Caruso Giuseppe , Chen Jiahao , Elsaka Basma , Baby Shilby , Löber Dennis , Kusserow Thomas , Adam Jost , Hillmer Hartmut
Published: March 2024

This work provides an overview on micromirror arrays based on different material systems such as dielectrics, element silicon, compound semiconductors, metals, and novel 2D materials. The goal is to work out the particular strength of each material system to enable optimum performance for various applications. In particular, this review is intended to draw attention to the fact that MEMS micro-mirrors can be successful in many other material systems besides silicon. In particular, the review is intended to draw attention to two material systems that have so far been used less for MEMS micromirror arrays, that have been less researched, and of which fewer applications have been reported to date: metallic heterostructures and 2D materials. However, the main focus is on metallic MEMS micromirror arrays on glass substrates for applications like personalized light steering in buildings via active windows, energy management, active laser safety goggles, interference microscopy, and endoscopy. Finally, the different micromirror arrays are compared with respect to fabrication challenges, switching speed, number of mirrors, mirror dimensions, array sizes, miniaturization potential for individual mirrors, reliability, lifetime, and hinge methodology.
Ground-State Tautomerism and Excited-State Proton Transfer in 7-Hydroxy-4-methyl-8-((phenylimino)methyl)-2H-chromen-2-one as a Potential Proton Crane
Authors: Nedeltcheva-Antonova Daniela , Antonov Liudmil
Published: March 2024

The tautomerism in the title compound as a potential long-range proton transfer (PT) switch has been studied by using the DFT and TD-DFT approaches. The data show that in aprotic solvents, the enol tautomer dominates, while the increase in the content of the keto tautomer (short-range PT) rises as a function of polarity of the solvent. In ethanol, due to specific solute–solvent stabilization through intermolecular hydrogen bonding, a substantial amount of the keto forms exists in solution. The irradiation leads to two competitive processes in the excited state, namely ESIPT and trans/cis isomerization around the azomethine bond as in other structurally similar Schiff bases. The studied compound is not suitable for bistable tautomeric switching, where long-range PT occurs, due to the difficult enolization of the coumarin carbonyl group.
Robust Observer-Based Proportional Derivative Fuzzy Control Approach for Discrete-Time Nonlinear Descriptor Systems with Transient Response Requirements
Authors: Lin Ting-An , Lee Yi-Chen , Chang Wen-Jer , Lin Yann-Horng
Published: March 2024

This paper proposes an observer-based proportional Derivative (O-BPD) fuzzy controller for uncertain discrete-time nonlinear descriptor systems (NDSs). Representing NDSs with the Takagi–Sugeno fuzzy model (T-SFM), the proportional derivative (PD) feedback method can be utilized in the fuzzy controller design via the Parallel Distributed Compensation (PDC) concept, such that the noncausal problem and impulse behavior are avoided. A fuzzy observer is proposed to obtain unmeasured states to fulfill the PD fuzzy controller. Moreover, uncertainties and transient response performances are taken into account for the NDSs. Then, a stability analysis process and corresponding stability conditions are derived from the Lyapunov theory with the robust control method and the pole constraint. Different from existing research, the Singular Value Decomposition (SVD) and the projection lemma are utilized to transfer the stability conditions into the Linear Matrix Inequation (LMI) form. Because of this reason, the conservatism of the analysis process can be reduced by eliminating the restriction on the positive definite matrix in the Lyapunov function. By giving the proper center and radius parameters of the pole constraint in the O-BPD fuzzy controller design process, the expected transient responses can be obtained for different designers and different practical applications. Finally, the effectiveness and applicability of the proposed O-BPD fuzzy controller are demonstrated by two examples of the simulation.
Infrared–Visible Image Fusion through Feature-Based Decomposition and Domain Normalization
Authors: Chen Weiyi , Miao Lingjuan , Wang Yuhao , Zhou Zhiqiang , Qiao Yajun
Published: March 2024

Infrared–visible image fusion is valuable across various applications due to the complementary information that it provides. However, the current fusion methods face challenges in achieving high-quality fused images. This paper identifies a limitation in the existing fusion framework that affects the fusion quality: modal differences between infrared and visible images are often overlooked, resulting in the poor fusion of the two modalities. This limitation implies that features from different sources may not be consistently fused, which can impact the quality of the fusion results. Therefore, we propose a framework that utilizes feature-based decomposition and domain normalization. This decomposition method separates infrared and visible images into common and unique regions. To reduce modal differences while retaining unique information from the source images, we apply domain normalization to the common regions within the unified feature space. This space can transform infrared features into a pseudo-visible domain, ensuring that all features are fused within the same domain and minimizing the impact of modal differences during the fusion process. Noise in the source images adversely affects the fused images, compromising the overall fusion performance. Thus, we propose the non-local Gaussian filter. This filter can learn the shape and parameters of its filtering kernel based on the image features, effectively removing noise while preserving details. Additionally, we propose a novel dense attention in the feature extraction module, enabling the network to understand and leverage inter-layer information. Our experiments demonstrate a marked improvement in fusion quality with our proposed method.
Multi-Level Feature-Refinement Anchor-Free Framework with Consistent Label-Assignment Mechanism for Ship Detection in SAR Imagery
Authors: Zhou Yun , Wang Sensen , Ren Haohao , Hu Junyi , Zou Lin , Wang Xuegang
Published: March 2024

Deep learning-based ship-detection methods have recently achieved impressive results in the synthetic aperture radar (SAR) community. However, numerous challenging issues affecting ship detection, such as multi-scale characteristics of the ship, clutter interference, and densely arranged ships in complex inshore, have not been well solved so far. Therefore, this article puts forward a novel SAR ship-detection method called multi-level feature-refinement anchor-free framework with a consistent label-assignment mechanism, which is capable of boosting ship-detection performance in complex scenes. First, considering that SAR ship detection is susceptible to complex background interference, we develop a stepwise feature-refinement backbone network to refine the position and contour of the ship object. Next, we devise an adjacent feature-refined pyramid network following the backbone network. The adjacent feature-refined pyramid network consists of the sub-pixel sampling-based adjacent feature-fusion sub-module and adjacent feature-localization enhancement sub-module, which can improve the detection capability of multi-scale objects by mitigating multi-scale high-level semantic loss and enhancing low-level localization features. Finally, to solve the problems of unbalanced positive and negative samples and densely arranged ship detection, we propose a consistent label-assignment mechanism based on consistent feature scale constraints to assign more appropriate and consistent labels to samples. Extensive qualitative and quantitative experiments on three public datasets, i.e., SAR Ship-Detection Dataset (SSDD), High-Resolution SAR Image Dataset (HRSID), and SAR-Ship-Dataset illustrate that the proposed method is superior to many state-of-the-art SAR ship-detection methods.
Propagation Dynamics from Meteorological Drought to GRACE-Based Hydrological Drought and Its Influencing Factors
Authors: Cui Aihong , Li Jianfeng , Zhou Qiming , Zhu Honglin , Liu Huizeng , Yang Chao , Wu Guofeng , Li Qingquan
Published: March 2024

Gaining a comprehensive understanding of the characteristics and propagation of precipitation-based meteorological drought to terrestrial water storage (TWS)-derived hydrological drought is of the utmost importance. This study aims to disentangle the frequency–time relationship between precipitation-derived meteorological and TWS-based hydrological drought from June 2002 to June 2017 based on the Standardized Precipitation Index (SPI) and Standardized Terrestrial Water Storage Index (STI) by employing wavelet coherence rather than a traditional correlation coefficient. The possible influencing factors on drought propagation in 28 regions across the world are examined. The results show that the number of drought months detected by the STI is higher than that detected by the SPI worldwide, especially for slight and moderate drought. Generally, TWS-derived hydrological drought is triggered by and occurs later than precipitation-based meteorological drought. The propagation characteristics between meteorological and hydrological droughts vary by region across the globe. Apparent intra-annual and interannual scales are detected by wavelet analysis in most regions, but not in the polar climate region. Drought propagation differs in phase lags in different regions. The phase lag between hydrological and meteorological drought ranges from 0.5 to 4 months on the intra-annual scale and from 1 to 16 months on the interannual scale. Drought propagation is influenced by multiple factors, among which the El Niño–Southern Oscillation, North Atlantic Oscillation, and potential evapotranspiration are the most influential when considering one, two, or three factors, respectively. The findings of this study improve scientific understanding of drought propagation mechanisms over a global scale and provide support for water management in different subregions.
Deciphering Double-Walled Corrugated Board Geometry Using Image Analysis and Genetic Algorithms
Authors: Rogalka Maciej , Grabski Jakub Krzysztof , Garbowski Tomasz
Published: March 2024

Corrugated board, widely used in the packing industry, is a recyclable and durable material. Its strength and cushioning, influenced by geometry, environmental conditions like humidity and temperature, and paper quality, make it versatile. Double-walled (or five-ply) corrugated board, comprising two flutes and three liners, enhances these properties. This study introduces a novel approach to analyze five-layered corrugated board, extending a previously published algorithm for single-walled boards. Our method focuses on measuring the layer and overall board thickness, flute height, and center lines of each layer. Through the integration of image processing and genetic algorithms, the research successfully developed an algorithm for precise geometric feature identification of double-walled boards. Images were recorded using a special device with a sophisticated camera and image sensor for detailed corrugated board cross-sections. Demonstrating high accuracy, the method only faced limitations with very deformed or damaged samples. This research contributes significantly to quality control in the packaging industry and paves the way for further automated material analysis using advanced machine learning and image sensors. It emphasizes the importance of sample quality and suggests areas for algorithm refinement in order to enhance robustness and accuracy.
Open Meter Duo: Low-Cost Instrument for Fluorimetric Determination of Cholinesterase Activity
Authors: Keresteš Ondřej , Mozo Juan Daniel , Pohanka Miroslav
Published: March 2024

Environmental screening is essential due to the increased occurrence of harmful substances in the environment. Open Meter Duo (OMD) is an open-source field photo/fluorimeter that uses an RGB diode that imitates a color according to the selected wavelength and uses a UV LED from the security kit diode as an excitation light source. The prepared PCB shield with a 3D-printed aperture was connected to Arduino UNO R4 WiFi. This system was used for the fluorescent detection of cholinesterase activity with the indoxyl acetate method. Carbofuran—a toxic pesticide—and donepezil—a drug used to treat Alzheimer’s disease—were tested as model inhibitors of cholinesterase activity. The limit of detection of indoxyl acetate was 11.6 μmol/L, and the IC50 values of the inhibitors were evaluated. This system is optimized for wireless use in field analysis with added cloud support and power source. The time of analysis was 5 min for the fluorimetric assay and 20 min for the optional photometric assay. The time of field operation was approximately 4 h of continuous measurement. This system is ready to be used as a cheap and easy control platform for portable use in drug control and point-of-care testing.
Exploring Gaze Dynamics in Virtual Reality through Multiscale Entropy Analysis
Authors: Zandi Sahar , Luhan Gregory
Published: March 2024

This study employs Multiscale Entropy (MSE) to analyze 5020 binocular eye movement recordings from 407 college-aged participants, as part of the GazeBaseVR dataset, across various virtual reality (VR) tasks to understand the complexity of user interactions. By evaluating the vertical and horizontal components of eye movements across tasks such as vergence, smooth pursuit, video viewing, reading, and random saccade, collected at 250 Hz using an ET-enabled VR headset, this research provides insights into the predictability and complexity of gaze patterns. Participants were recorded up to six times over a 26-month period, offering a longitudinal perspective on eye movement behavior in VR. MSE’s application in this context aims to offer a deeper understanding of user behavior in VR, highlighting potential avenues for interface optimization and user experience enhancement. The results suggest that MSE can be a valuable tool in creating more intuitive and immersive VR environments by adapting to users’ gaze behaviors. This paper discusses the implications of these findings for the future of VR technology development, emphasizing the need for intuitive design and the potential for MSE to contribute to more personalized and comfortable VR experiences.
An Improved A-Star Path Planning Algorithm Based on Mobile Robots in Medical Testing Laboratories
Authors: Yin Chengpeng , Tan Chunyu , Wang Chongqin , Shen Feng
Published: March 2024

In the blood sample management pipeline environment, we have innovatively improved the traditional A-star algorithm to enhance the efficiency of mobile robots. This study employs a grid environmental modeling approach to accurately simulate medical testing laboratories. On the grid map, we utilize an 8-neighbor search method for path planning to accommodate the complex structure within the laboratory. By introducing an improved evaluation function and a bidirectional search strategy, we have successfully reduced the number of search nodes and significantly improved path search efficiency. Additionally, we eliminate redundant nodes in the path, smooth the path using cubic uniform B-spline curves, remove unnecessary inflection points, and further optimize the motion trajectory of the robot. The experimental results of the path planning simulation under different scenarios and specifications show that the improved A-star algorithm has higher search efficiency and traverses fewer nodes compared to the traditional A-star algorithm and the bidirectional A-star algorithm. Overall, the simulation experiments verify the feasibility of the improved A-star algorithm, which can better meet the needs of actual mobile robots in real medical testing laboratories.
Research on the Soft-Sensing Method of Indicator Diagram of Beam Pumping Unit
Authors: Zhao Huaijun , Wang Junping , Liu Tianyu , Yu Yang , Hu Dingxing , Cai Chenxin
Published: March 2024

An accurate calculation of the indicator diagram of a pumping unit is the key factor in analyzing the performance of an oilfield production and operation and in preparing and optimizing an oilfield development plan. Aiming at the problems of the poor stability of the conventional load-displacement sensor method and the wave equation method, owing to the influence of an alternating load on the force sensor and the difficulty in measuring the crank angle using the electrical parameter method, a new soft sensing method employing the input electrical parameters of the motor and the beam inclination has been proposed to obtain the indicator diagram. At first, this method is established based on the beam angle of the pumping unit, which is easily measured using the suspension point displacement mathematics calculation model and the torque factor. Subsequently, the electric motor input parameters, the parameters of the four-bar linkage, and the relationship between the polished rod load have been established. Finally, the motor and the beam angle of the measured electrical parameters have been substituted into the calculation of the suspension point displacement and load value and pull in accordance with the guidelines to eliminate the singularity mutation values. After processing the measured data through a Butterworth filter, the indicator diagram is obtained. The results of the engineering experiment and application show that the average relative error of the method is less than 3.95%, and the maximum relative error remains within 2% for 6 months, which verifies the stability of the soft sensing method.
A Novel Hierarchical Vision Transformer and Wavelet Time–Frequency Based on Multi-Source Information Fusion for Intelligent Fault Diagnosis
Authors: Gong Changfen , Peng Rongrong
Published: March 2024

Deep learning (DL) has been widely used to promote the development of intelligent fault diagnosis, bringing significant performance improvement. However, most of the existing methods cannot capture the temporal information and global features of mechanical equipment to collect sufficient fault information, resulting in performance collapse. Meanwhile, due to the complex and harsh operating environment, it is difficult to extract fault features stably and extensively using single-source fault diagnosis methods. Therefore, a novel hierarchical vision transformer (NHVT) and wavelet time–frequency architecture combined with a multi-source information fusion (MSIF) strategy has been suggested in this paper to boost stable performance by extracting and integrating rich features. The goal is to improve the end-to-end fault diagnosis performance of mechanical components. First, multi-source signals are transformed into two-dimensional time and frequency diagrams. Then, a novel hierarchical vision transformer is introduced to improve the nonlinear representation of feature maps to enrich fault features. Next, multi-source information diagrams are fused into the proposed NHVT to produce more comprehensive presentations. Finally, we employed two different multi-source datasets to verify the superiority of the proposed NHVT. Then, NHVT outperformed the state-of-the-art approach (SOTA) on the multi-source dataset of mechanical components, and the experimental results show that it is able to extract useful features from multi-source information.
A Hardware Encoder-Based Synchronization Method for a Fast Terahertz TDS Imaging System Based on the ECOPS Scheme
Authors: Maciejewski Marcin , Kamiński Kamil , Pałka Norbert
Published: March 2024

In this paper, we report our use of a hardware encoder-based synchronization method for a fast terahertz time-domain spectroscopy raster scanner built with the commercially available TeraFlash Smart platform. We describe the principles of our method, including our incorporation of synchronization signals from various devices included in the scanner. We also describe its implementation in a microcontroller with a dedicated counter. By such means, a fast scanning mode was obtained, which was 35 times faster than a traditional step-by-step approach. To validate the proposed synchronization method, we carried out measurements using the USAF 1951 resolution test and a fiberglass plate with a set of intentionally introduced defects. Our results confirmed that the TDS scanner with the developed synchronization method was able to capture high-quality images with resolutions as high as those obtained using traditional step-by-step scanning, but with significantly reduced scanning times.
Green Tollways: Strategizing Carbon-Emissions-Based Government-Owned Public Toll Road Operations in China
Authors: Shang Bin , Lu Hui , Zhu Yuhua , Pan Hanchuan , Wang Juan
Published: March 2024

When build–operate–transfer (BOT) roads are transferred back to the government upon the expiry of their contract, they are typically considered to be public roads and are no longer subject to tolls. However, in China, BOT roads, after being transferred to the government, remain tolled by the government in order to maintain efficiency. Therefore, such roads are termed public toll roads (PTRs). During the operational phase of PTRs, ongoing operating costs become a significant financial burden compared to the initial investment made for their construction. Against the backdrop of global carbon emission efforts, this paper studies the operational strategy of PTRs in terms of car emission costs, which constitute a portion of PTRs’ operation costs. This paper explores the operational strategy of PTRs, including whether the government should operate the road independently or outsource their operation to a competent private firm. Our analysis concludes that the operator should manage PTRs for the entire duration of their operation by maintaining self-financing while also accounting for operation costs. In this study, governmental regulations for the cost of carbon emissions are also studied.
Ecological Vulnerability Assessment and Spatiotemporal Characteristics Analysis of Urban Green-Space Systems in Beijing–Tianjin–Hebei Region
Authors: Fu Xiangyu , Liu Yajing
Published: March 2024

The evaluation and analysis of the ecological vulnerability of urban green-space systems are conducive to the sustainable development of urban green-space systems. Taking the urban green-space system in the Beijing–Tianjin–Hebei region in 2010, 2015, and 2020 as the research object, an ESSR model was first constructed, and a total of ten types of impact factors were integrated into the four dimensions of “Exposure, Sensitivity, State and Response”. The weight of the impact factors was objectively determined via spatial principal component analysis, and the ecological vulnerability of the urban green-space system was evaluated via superposition analysis; the evaluation’s results were graded. Moreover, the transfer matrix, center-of-gravity migration model, standard deviation ellipse, and spatial autocorrelation analysis were used to study the temporal and spatial variation characteristics of the evaluation results; then, the driving force of impact factors was analyzed based on a geographical detector. Finally, the rationality of the evaluation results was verified using the changing trend of the remote sensing ecological index (RSEI). The results show that the ecological vulnerability of the urban green-space system in the Beijing–Tianjin–Hebei region has decreased year by year for the past ten years. The distribution law of “Hebei surrounds Beijing and Tianjin” is presented in this space, and 2015 is the mutation node. In 2010, the moderately and severely vulnerable areas of Hebei surrounded the mildly vulnerability areas of Beijing and Tianjin. Moreover, in 2015 and 2020, the mildly vulnerable areas of Hebei surrounded the severely vulnerable areas of Beijing and Tianjin. Vulnerability expands slightly in the east–west direction and shrinks slightly in the north–south direction, and the center of gravity shifts towards Beijing year by year along the northeast direction. Moreover, the spatial distribution of vulnerability shows significant positive spatial autocorrelations and exhibits very obvious agglomeration. In addition, vulnerability is the result of the combined effect of various factors, and education degree, human disturbance index, and annual average precipitation are the dominant factors. The analysis results provide a reference for the effective application and sustainable development of urban green-space ecological functions.
Bark Browsing and Recovery: A Comparative Study between Douglas Fir and Silver Fir Species in the Western Carpathians
Authors: Konôpka Bohdan , Šebeň Vladimír , Pajtík Jozef
Published: March 2024

The foraging behavior of ruminating ungulates significantly impacts forest ecosystems due to their nutritional requirements. This study focuses on inter-specific comparisons of bark browsing (stripping) between Douglas fir (Pseudotsuga menziesii (Mirb.) Franco) and silver fir (Abies alba Mill.). Field measurements were conducted at the previously established research demonstration site “Husárik” in the Javorníky Mountains, north-western Slovakia. We measured the sizes of wounds on stems and assessed the dimensions of unrecovered parts of wounds, subsequently calculating areas of recovered bark patches. Then, the total areas of wounds recovered patches, and unrecovered parts were measured. Additionally, the percentages of wound areas, recovered areas, and unrecovered areas were expressed as proportions relative to the total bark surface. Influencing factors such as the position of wounds along the vertical stem profile and stem diameter class were analyzed using two- and three-way ANOVA followed by Fisher’s LSD test. The results demonstrate the susceptibility of both tree species to bark browsing by ruminating ungulates, primarily red deer (Cervus elaphus L.) in our study site. Douglas fir exhibited slightly less intense browsing compared to silver fir, while silver fir had a slightly higher recovery rate. Specifically, 17.0% of the bark surface in Douglas fir and 21.5% in silver fir were browsed. The proportions of recovered areas on wounds were 62.5% and 69.6% in Douglas fir and silver fir, respectively. Regarding the vertical stem profile, the most intense browsing occurred at a height of 101–125 cm from the ground level, with rates of 40.7% in Douglas fir and 47.0% in silver fir. Browsing intensity showed negligible variation among diameter classes, which were classified as up to 35 mm, 35–50 mm, and over 50 mm. Our findings suggest that, as an introduced species, Douglas fir is not a suitable substitute for other commercially significant tree species in supporting sustainable forestry in European countries where ruminating ungulates are overabundant.
Who Gives? Non-Commercial Distribution Networks in Domestic Food Production in the Inland North of Sweden
Authors: Carson Dean Bradley , Brunet Johansson Albert , Carson Doris Anna
Published: March 2024

This paper examines the social context of “domestic food production” (dfp) in the inland North of Sweden, with a focus on understanding the contributions of non-commercial food distribution to local food security and sustainable rural community-building. We report on the findings of an exploratory pilot study that included an online survey of 305 people who engaged in at least one dfp activity (hunting, fishing, foraging, or farming). The aims were to uncover common social practices of dfp, as well as to identify key values attached to dfp, the extent of commercial and non-commercial distribution of home-produced food, and motivations to give away food. The main findings emphasize the social nature of dfp activities, with the vast majority of respondents undertaking dfp in groups or as part of formal clubs. Key values attached to dfp included social and community-related aspects, while commercial interests were limited. Respondents were more likely to engage in non-commercial distribution networks, usually involving close family and friends. Food givers mostly cited social factors as their main motivations rather than other food-related aspects (such as food security, health benefits, or food waste). Food givers were also likely to receive food from others, emphasizing the relatively narrow and reciprocal character of non-commercial food networks. We conclude that non-commercial dfp networks may be expanded to the broader community by exploiting the social nature of dfp and encouraging generalized reciprocity led by dfp clubs. This could potentially reduce the negative impacts of food deserts whilst also stimulating community interactions, learning and local dfp communities of practice.
Disassemblability Assessment of Car Parts: Lessons Learned from an Ecodesign Perspective
Authors: Ortego Abel , Iglesias-Émbil Marta , Valero Alicia , Gimeno-Fabra Miquel , Monné Carlos , Moreno Francisco
Published: March 2024

A conventional vehicle requires more than 50 different metals in its manufacturing, most of which are critical. Given this circumstance, enhancing sustainability from a raw materials perspective requires improvements in the disassemblability of car parts. This enhancement aims to yield metal-rich fractions, enabling the application of effective recycling processes for the recovery of critical metals. This helps avoid the downcycling that occurs in conventional shredding processes. The present study was undertaken to analyze the challenges associated with disassembling components of significant value due to their metal content. The methodology comprises two distinct main stages: an identification of critical car parts and an assessment of disassemblability. The selection of car parts was determined by the criticality of each one through the thermodynamic rarity indicator. Disassemblability was studied experimentally, encompassing three different levels. This classification defines the stages from extracting parts from the vehicle and obtaining recycling fractions in their purest form: ferrous metals, aluminum, non-ferrous metals excluding aluminum, and plastics. This methodology was implemented on two vehicles manufactured by SEAT: SEAT Leon models II and III. As a result, not only was disassemblability information about these car parts collected, but several ecodesign recommendations were also identified as valuable guidance for future designs, specifically aimed at enhancing metals’ recyclability. In conclusion, it must be acknowledged that contemporary vehicle design often prioritizes cost-effective manufacturing processes. However, this approach may compromise the disassemblability and recyclability of the product. The ongoing transition to electric vehicles necessitates a re-evaluation of design principles, particularly from the perspective of the circular economy.
Restaurants without Bins: How Does a Circular Restaurant Operate?
Authors: Renfors Sanna-Mari , Wendt Ted
Published: March 2024

The circular economy is seen as a potential solution to tackle the environmental concerns of the restaurant industry, offering a set of practices to support the industry in achieving more efficient use of resources and becoming more sustainable. However, studies that focus on the circular economy as a theoretical framework in the restaurant context are scarce. Thus, this study aims to increase understanding of how a circular restaurant operates in practice and provide insight into the circular transformation of restaurants. This article adopts a qualitative, multiple case study methodology, assessing six pioneer restaurants fully embracing a circular economy. The results show that a circular restaurant can be defined as a restaurant based on a systemic design that eliminates waste and keeps materials in circulation. A circular restaurant redesigns and reverses the supply chain, designs circular menus, is committed to closed-loop cooking, and reprocesses the remaining waste. In addition, a circular restaurant features a circular approach to interior design and embraces its social capital. The article includes various practical implications for chefs who can lead the transition to a more circular food system by adopting relevant practices.
Examining the Long-Run and Short-Run Relationship between Water Demand and Socio-Economic Explanatory Variables: Evidence from Amman
Authors: Telfah Dua’a B. , Jaradat Aiman Q. , Ismail Rabah
Published: March 2024

This study investigates the key factors that influence household water usage in Amman, Jordan, with the aim of improving water management practices in a region facing significant scarcity. The research focuses on factors such as temperature, water pricing, system input, and family size. The Vector Error Correction Model with Exogenous Variables (VECMX) is applied to data from 1980 to 2015 to provide insights into consumption patterns, both in the short-term and long-term. The results show that family size and marginal costs significantly impact long-term water demand, while system input and family size influence short-term water demand. The study also finds that water pricing has a limited impact on consumer behavior, indicating inelasticity. Temperature and income, however, did not emerge as significant determinants. These findings highlight the need for water management policies in arid areas like Amman to prioritize factors other than price, such as household size and water infrastructure, to establish more effective strategies for conserving water.
A Need for Standardized Approaches to Manage Sustainability Strategically
Authors: Gudmundsdottir Svala , Sigurjonsson Throstur Olaf
Published: March 2024

This study aims to explore the challenges and opportunities associated with measuring and assessing sustainability impacts and investigate digitalization’s role in addressing these challenges. The study gathers stakeholders’ perspectives on strategically managing sustainability and employs a qualitative research approach, utilizing semi-structured face-to-face interviews with seven industry participants. The findings reveal that the measurement and assessment of sustainability impacts pose significant challenges due to the lack of standardized approaches and the diversity of evaluation methods. Companies have started to address these challenges by applying digitalization to standardize and streamline sustainability measures. Digital platforms and technologies are being developed to collect, analyze, and report sustainability data, providing a foundation for reliable and comprehensive sustainability reporting. This study contributes to the existing literature by highlighting the need for standardized approaches and digital platforms for measuring and assessing sustainability impacts. The findings emphasize the importance of integrating sustainability into corporate strategies, as well as the role of digitalization in enabling companies to focus strategically on the most important societal goals. The study also underscores the need for clear definitional parameters and accurate measurement of sustainability performance. Overall, this research highlights the potential of digitalization in driving meaningful change and promoting sustainability in economic, environmental, and social domains.