bluuebunny/crossref_metadata_2025 huggingface dataset:
Practicalities of Incorporating 3D Laser Scanning with BIM in Live Construction Projects: A Case Study
Authors: Sadeghineko Farhad , Lawani Kenneth , Tong Michael
Published: June 2024

The integration of laser scanning technology and Building Information Modelling (BIM) processes offers a transformative approach to managing the complexities in live construction projects. This paper aims to explore the significant impacts of incorporating laser scanning and BIM on construction projects in terms of as-built models, information management, and overall project performance utilising case study analysis of a building that was not BIM-based. The research scope is defined by the need to investigate the integration of laser scanning and BIM in live construction projects. It details the data acquisition process, challenges encountered due to site obstructions, and the methodologies employed for spatial modelling procedures. Key findings reveal that such integration can significantly enhance the accuracy of data collection and improve project outcomes. Results also identify the need for specialised equipment and skills for the effective implementation of such integrations. The research concludes by offering a practical approach to enhancing construction processes, from design to maintenance. This paper contributes to the body of knowledge by providing a detailed analysis of the practical application of laser scanning and BIM in a live construction project, offering insights into the benefits, challenges, and future directions for integrating these technologies in the construction industry.
The Study of the Cognitive Tendency of Chinese Y and Z Generations towards the Design Element Shan-Shui in Architectural Environments
Authors: Wang Shaochen , Song Yang
Published: June 2024

The future of architectural environments in China will serve the needs of, and thus be shaped/re-shaped by, the Chinese Y and Z generations. Although Shan-Shui designs have long been a classic style of architectural environment in China, there is a lack of comprehensive studies on how the Chinese Y and Z generations perceive Shan-Shui designs as an architectural style. Quantitatively analyzing and understanding Chinese YZ generations’ perceived relationships between Shan-Shui designs and architectural environments will have many implications for both the economy and education. In this paper, we present a large-scale study by conducting a questionnaire survey of 441 human subjects representative of both the Y and Z generations. The questionnaires were carefully designed with a focus on understanding the perceptions and cognitions of Shan-Shui designs in the survey group. The survey results were analyzed using the widely adopted SPSS25 method. Our overall analyses show that the Chinese Y and Z generations have a tendency to subconsciously perceive Shan-Shui as a relatively independent form/style from architectural environments. Between the Y and Z generations, our comparative analyses show that the latter has a more positive perception with respect to different aspects of Shan-Shui designs in architectural environments.
An Inclusive Park Design Based on a Research Process: A Case Study of Thammasat Water Sport Center, Pathum Thani, Thailand
Authors: Selanon Pattamon , Puggioni Federico , Dejnirattisai Supanut
Published: June 2024

Public parks are vital for community well-being, yet often fail to cater to the needs of people with disabilities, restricting their safe and independent use. This paper details a pragmatic study aimed at crafting the design for an inclusive park on the outskirts of Bangkok, addressing these limitations. Through a comprehensive mixed-methods approach—encompassing literature reviews, semi-structured interviews, and surveys with stakeholders, including individuals with disabilities—this research gathered diverse perspectives on inclusive design. Participants underscored the importance of social and recreational activities in universally accessible spaces, providing valuable spatial insights. This research aims to employ pragmatic research methods to develop the design of an inclusive park for people with disabilities at the Thammasat University Rangsit Campus Water Sport Center. This study seeks to integrate the perspectives and needs of people with disabilities into the park design, ensuring that the space is accessible and meets a wide range of needs. The research aims to bridge socio-environmental considerations with practical design applications, creating a model that can serve as a template for similar developments in other urban settings. This study’s findings informed the creation of a design that harmoniously integrates green spaces with the specific requirements of disabled users, promoting inclusivity and accessibility within the fast-growing urban areas of Southeast Asia. This research not only offers a template for addressing the gaps in public space provision for people with disabilities but also illustrates how designers can interpret and meet socio-environmental and health-related needs through inclusive planning. It extends the discussion on overcoming WHO-identified inequalities in urban settings and lays the groundwork for interdisciplinary studies aimed at enriching the fabric of urban life through research processes and scientific inquiry. This paper asserts the pivotal role of inclusive design in enhancing urban livability, advocating for a design methodology that responds to the nuanced demands of inclusivity, thereby contributing to the broader discourse on equality, accessibility, and the right to the city for people with disabilities.
Theoretical Analysis of Drilling Unloading and Pile-Side Soil Pressure Recovery of Nonsqueezing Pipe Piles Installed in K0-Consolidated Soils
Authors: Li Bo , Tang Meng-Xiong , Hu He-Song , Liu Chun-Lin , Ling Zao , Su Ding-Li , Hou Zhen-Kun , Xiao Ying-Ping
Published: June 2024

Drilling with prestressed concrete (DPC) pipe pile is a nonsqueezing pile sinking technology, employing drilling, simultaneous pile sinking, a pipe pile protection wall, and pile side grouting. The unloading induced by drilling, the pipe pile supporting effect, and the dissipation of the negative excess pore-water pressure after pile sinking, all of which have significant effects on the recovery of soil pressure on the pile side, are the main concerns of this study, which aim to establish a method to reasonably evaluate the timing selection of pile side grouting. The theoretical solutions for characterizing the unloading and dissipation of the negative excess pore-water pressure are presented based on the cylindrical cavity contraction model and the separated variable method. By inverse-analyzing the measured initial pore pressure change data from borehole unloading, initial soil pressures on the pile side of each soil layer are determined using the presented theoretical solutions. Then, the presented theoretical solutions were verified through a comparative analysis with the corresponding measured results. Moreover, by introducing time-dependent coefficients αt1 and αt2 to characterize the pore pressure dissipation and rheology effects, the effects of the negative excess pore-water pressure dissipation on the pile-side soil pressure recovery are discussed in detail.
Egg White and Eggshell Mortar Reinforcing a Masonry Stone Bridge: Experiments on Mortar and 3D Full-Scale Bridge Discrete Simulations
Authors: Cavuslu Murat , Dagli Emrah
Published: June 2024

In this study, experimental and numerical investigations were conducted to examine the time-dependent creep and earthquake performance of the historical Plaka stone bridge, which was constructed in 1866 in Arta, Greece. During the original construction of the bridge in 1866, Khorasan mortar with an egg white additive was used between the stone elements. Furthermore, when the bridge underwent restoration in 2015, Khorasan mortar with an eggshell additive was employed between the stone elements. Consequently, two distinct 3D finite-difference models were developed for this study. In the first bridge model, egg white was used in the Khorasan mortar, replacing water at various proportions of 0%, 25%, 50%, 75%, and 100%. In contrast, for the second model, eggshell was incorporated into the Khorasan mixture at percentages of 25%, 50%, 75%, and 100%, relative to the lime amount. Subsequently, the mortars were subjected to curing periods of 1 day, 7 days, and 28 days, and their mechanical properties were determined through unconfined compression strength experiments. Taking into account the determined strengths of the mortars, the kn and ks stiffness values of the interface elements between the stone elements and Khorasan mortar were calculated. In the 3D model, each stone element was individually represented, resulting in a total of 1,849,274 stone elements being utilized. Non-reflecting boundary conditions were applied to the edge boundaries of the bridge model, and the Burger creep and Mohr–Coulomb material models was employed for time-dependent creep and seismic analyses, respectively. Subsequently, time-dependent creep analyses were conducted on the bridge, and seismic events that occurred in the region where the bridge was located were simulated to assess their impact. Based on the results of the time-dependent creep and seismic analyses, we observed that the use of 50% eggshell-mixed Khorasan mortar between the stone elements had a positive influence on the earthquake and creep behaviors of both restored and yet-to-be-restored historical bridges.
Splitting Tensile Mechanical Performance and Mesoscopic Failure Mechanisms of High-Performance Concrete under 10-Year Corrosion from Salt Lake Brine
Authors: Wang Fang , Yu Hongfa , Ma Haiyan , Cheng Ming , Guo Jianbo , Zhang Jinhua , Liu Weifeng , Gao Weiquan , Tao Qinghua , Guo Juan
Published: June 2024

In regions characterized by the challenging combination of brine corrosion in the salt lakes and river sand with alkali silica reaction (ASR) activity in areas of the Northwest, high-performance concrete (HPC) formulated with high-volume composite mineral admixtures as ASR suppression measures has been preferred for civil engineering structures in the region. This study investigates the splitting tensile strength, corrosion products, microscopic structure characteristics, and mesoscopic mechanical mechanisms of splitting failure of such HPC under 10-year corrosion from salt lake brine. The relationship between mechanical properties and corrosion damage, as well as the characteristics of internal crack propagation paths and failure mechanisms of HPC under splitting load, are explored. The findings reveal that as the alkali content within HPC rises, corrosion damage intensifies, resulting in a reduction in splitting tensile strength. Moreover, a linear association between mechanical properties and corrosion damage is observed. Microscopic structural analysis and numerical simulation of the splitting failure process of HPC elucidate that while the substantial presence of mineral admixtures effectively suppresses the ASR risk associated with alkali-reactive aggregates in concrete, uneven ASR gel products persist. These discontinuous micro-fine interface cracks induced by the gel products and the cracks induced by the gel products around the selective alkali-active aggregate particles distributed in the local area are the initiation sources of mortar cracks in HPC splitting failure. In terms of the overall failure state observed during the concrete splitting process, mortar cracks manifest two distinct extension paths: along the coarse aggregate interface and directly through the aggregates themselves. Notably, a greater proportion of coarse aggregates are directly penetrated by mortar cracks, as opposed to the number of interface failures bypassing coarse aggregates. More importantly, the above work establishes a theoretical reference in three dimensions: macroscopic, mesoscopic, and microscopic, for studying concrete corrosion damage in complex environments such as salt lake brine corrosion and ASR inhibition.
RETRACTED: Al-Salmi, F.A.; Hamza, R.Z. Efficacy of Vanadyl Sulfate and Selenium Tetrachloride as Anti-Diabetic Agents against Hyperglycemia and Oxidative Stress Induced by Diabetes Mellitus in Male Rats. Curr. Issues Mol. Biol. 2022, 44, 94–104
Authors: Al-Salmi Fawziah A. , Hamza Reham Z.
Published: June 2024

Current Issues in Molecular Biology Editorial Office retracts the article titled “Efficacy of Vanadyl Sulfate and Selenium Tetrachloride as Anti-Diabetic Agents against Hyperglycemia and Oxidative Stress Induced by Diabetes Mellitus in Male Rats” [...]
Free Salivary Amino Acid Profile in Breast Cancer: Clinicopathological and Molecular Biological Features
Authors: Bel’skaya Lyudmila V. , Sarf Elena A. , Solomatin Denis V.
Published: June 2024

The study of salivary amino acid profiles has attracted the attention of researchers, since amino acids are actively involved in most metabolic processes, including breast cancer. In this study, we analyzed the amino acid profile of saliva in a sample including all molecular biological subtypes of breast cancer to obtain a more complete picture and evaluate the potential utility of individual amino acids or their combinations for diagnostic purposes. This study included 116 patients with breast cancer, 24 patients with benign breast disease, and 25 healthy controls. From all patients, strictly before the start of treatment, saliva samples were collected, and the quantitative content of 26 amino acids was determined. Statistically significant differences between the three groups are shown in the content of Asp, Gly, Leu + Ile, Orn, Phe, Pro, Thr, and Tyr. To differentiate the three groups from each other, a decision tree was built. To construct it, we selected those amino acids for which the change in concentrations in the subgroups was multidirectional (GABA, Hyl, Arg, His, Pro, and Car). For the first time, it is shown that the amino acid profile of saliva depends on the molecular biological subtype of breast cancer. The most significant differences are shown for the luminal B HER2-positive and TNBC subgroups. In our opinion, it is critically important to consider the molecular biological subtype of breast cancer when searching for potential diagnostic markers.
A GIS-Based Fuzzy Model to Detect Critical Polluted Urban Areas in Presence of Heatwave Scenarios
Authors: Cardone Barbara , Di Martino Ferdinando , Miraglia Vittorio
Published: June 2024

This research presents a new method for detecting urban areas critical for the presence of air pollutants during periods of heatwaves. The proposed method uses a geospatial model based on the construction of Thiessen polygons and a fuzzy model based on assessing, starting from air quality control unit measurement data, how concentrations of air pollutants are distributed in the urban study area during periods of heatwaves and determine the most critical areas as hotspots. The proposed method represents an optimal trade-off between the accuracy of the detection of critical areas and the computational speed; the use of fuzzy techniques for assessing the intensity of concentrations of air pollutants allows evaluators to model the assessments of critical areas more naturally. The method is implemented in a GIS-based platform and has been tested in the city of Bologna, Italy. The resulting criticality maps of PM10, NO2, and PM2.5 pollutants during a heatwave period that occurred from 10 to 14 July 2023 revealed highly critical hotspots with high pollutant concentrations in densely populated areas. This framework provides a portable and easily interpretable decision support tool which allows you to evaluate which urban areas are most affected by air pollution during heatwaves, potentially posing health risks to the exposed population.
Psychological Determinants of COVID-19 Vaccination Uptake among Pregnant Women in Kenya: A Comprehensive Model Integrating Health Belief Model Constructs, Anticipated Regret, and Trust in Health Authorities
Authors: Ayieko Sylvia , Markham Christine , Baker Kimberly , Messiah Sarah E.
Published: June 2024

Pregnant women, considered at risk of COVID-19 complications because of the immunosuppressive and physiological changes in pregnancy, were initially hesitant to receive COVID-19 vaccination. This study assessed the association between COVID-19 vaccination uptake, psychological determinants (health belief model (HBM) constructs, anticipated regret, trust in health authorities), and provider recommendation among pregnant women in Kenya. Using data from a cross-sectional study, we conducted correlations, binary and multivariable logistic regressions, and moderation analysis to explore relationships between COVID-19 vaccination and psychological variables. Of the 115 pregnant women, 64% reported receiving provider recommendations for COVID-19 vaccination. There were weak positive correlations between the variables. Participants with high anticipated regret scores were more likely to receive COVID-19 vaccination compared to their peers (AOR = 4.27; 95% CI, 1.23–14.85), while provider recommendation increased the odds of COVID-19 vaccination (OR = 3.70; 95% CI, 1.53–8.92). None of the HBM constructs were significantly associated with COVID-19 vaccination. The findings related to psychological variables require the reconceptualization of theory-informed interventions to streamline healthcare provision. The critical role of healthcare providers in COVID-19 vaccination recommendations suggests a need to empower health practitioners with effective communication skills to improve maternal health outcomes.
Applying Implementation Science to Identify Primary Care Providers’ Enablers and Barriers to Using Survivorship Care Plans
Authors: Mutsaers Brittany , Langmuir Tori , MacDonald-Liska Carrie , Presseau Justin , Larocque Gail , Harris Cheryl , Chomienne Marie-Hélène , Giguère Lauriane , Garcia Mairena Paola Michelle , Babiker Dina , Thavorn Kednapa , Lebel Sophie
Published: June 2024

Primary care providers (PCPs) have been given the responsibility of managing the follow-up care of low-risk cancer survivors after they are discharged from the oncology center. Survivorship Care Plans (SCPs) were developed to facilitate this transition, but research indicates inconsistencies in how they are implemented. A detailed examination of enablers and barriers that influence their use by PCPs is needed to understand how to improve SCPs and ultimately facilitate cancer survivors’ transition to primary care. An interview guide was developed based on the second version of the Theoretical Domains Framework (TDF-2). PCPs participated in semi-structured interviews. Qualitative content analysis was used to develop a codebook to code text into each of the 14 TDF-2 domains. Thematic analysis was also used to generate themes and subthemes. Thirteen PCPs completed the interview and identified the following barriers to SCP use: unfamiliarity with the side effects of cancer treatment (Knowledge), lack of clarity on the roles of different healthcare professionals (Social Professional Role and Identity), follow-up tasks being outside of scope of practice (Social Professional Role and Identity), increased workload, lack of options for psychosocial support for survivors, managing different electronic medical records systems, logistical issues with liaising with oncology (Environmental Context and Resources), and patient factors (Social Influences). PCPs value the information provided in SCPs and found the follow-up guidance provided to be most helpful. However, SCP use could be improved through streamlining methods of communication and collaboration between oncology centres and community-based primary care settings.
Live-Birth Incidence of Isolated D-Transposition of Great Arteries—The Shift in Trends Due to Early Diagnosis
Authors: Stancioi-Cismaru Andreea Florentina , Dinu Marina , Carp-Veliscu Andreea , Capitanescu Razvan Grigoras , Pana Razvan Cosmin , Sirbu Ovidiu Costinel , Tanase Florentina , Dita Florentina Gratiela , Popa Maria Adelina , Robu Mihai Robert , Gheonea Mihaela , Tudorache Stefania
Published: June 2024

This is a single tertiary population-based study conducted at a center in southwest Romania. We retrospectively compared data obtained in two periods: January 2008–December 2013 and January 2018–December 2023. The global incidence of the transposition of great arteries in terminated cases, in addition to those resulting in live-born pregnancies, remained almost constant. The live-birth incidence decreased. The median gestational age at diagnosis decreased from 29.3 gestational weeks (mean 25.4) to 13.4 weeks (mean 17.2). The second trimester and the overall detection rate in the prenatal period did not significantly change, but the increase was statistically significant in the first trimester. The proportion of terminated pregnancies in fetuses diagnosed with the transposition of great arteries significantly increased (14.28% to 75%, p = 0.019).
Post-Treatment Occurrence of Serum Cryoglobulinemia in Chronic Hepatitis C Patients
Authors: Dashjamts Gantogtokh , Ganzorig Amin-Erdene , Tsedendorj Yumchinsuren , Dondov Ganchimeg , Nergui Otgongerel , Badamjav Tegshjargal , Huang Chung-Feng , Liang Po-Cheng , Lonjid Tulgaa , Batsaikhan Batbold , Dai Chia-Yen
Published: June 2024

Background: Persistent cryoglobulinemia after the completion of antiviral treatment is an important consideration of clinical management in chronic hepatitis C patients. We aimed to investigate the occurrence of serum cryoglobulinemia in chronic hepatitis C patients without cryoglobulinemia at the initiation of antiviral treatment. Methods: In total, 776 patients without cryoglobulinemia were assessed for serum cryoglobulinemia after the completion of anti-HCV treatment. Serum cryoglobulinemia precipitation was assessed upon both the initiation and the completion of the treatment and analyzed for the clinical laboratory factors associated with chronic hepatitis C. Results: One hundred eighteen (118) patients were checked for serum cryo-precipitation after the completion of the treatment, and eight patients (4.6%) were positive for serum cryoglobulinemia. The patients who tested positive for cryoglobulinemia included a higher proportion of liver cirrhosis patients (4/50%, p = 0.033) and other organ cancer patients (5/62.5%, p = 0.006) than patients who showed no signs of cryoglobulinemia after treatment. In a multivariate analysis, liver cirrhosis (odds ratio [OR]—17.86, 95% confidence interval [95% CI]—1.79–177.35, p = 0.014) and other organ cancer (OR–25.17 95% CI—2.59–244.23, p = 0.005) were independently and significantly associated with positive cryoglobulinemia 3 months after antiviral treatment. Conclusions: Three months after the antiviral DAA therapy had concluded, eight patients tested positive for cryoglobulinemia, representing a 6.7% prevalence. Liver cirrhosis and other organ cancer were independently and significantly associated with positive cryoglobulinemia after antiviral treatment. Further investigation into the causes of positive cryoglobulinemia after DAA antiviral therapy is warranted.
New Perspectives in Overcoming Bulk-Fill Composite Polymerization Shrinkage: The Impact of Curing Mode and Layering
Authors: Bardocz-Veres Zsuzsanna , Miklós Mátyás Levente , Biró Edina-Kata , Kántor Éva Andrea , Kántor József , Dudás Csaba , Kerekes-Máthé Bernadette
Published: June 2024

Background: The purpose of this study was to investigate the effect of different light curing modes on the polymerization shrinkage of a bulk-fill composite and to evaluate the impact of two layering techniques on the cuspal deflection. Methods: Nine different light curing modes were tested on bulk-fill composite samples in aluminum MOD cavities. Intensity, duration, and illumination distance were the factors that changed during the different curing modes. The digital image correlation method was used to visually represent the displacement of carbon particles on the materials’ surface caused by shrinkage along both the horizontal and vertical axes. For simulating cuspal deflection, a separate protocol was used, with a bulk and horizontal layering technique. Results: The results showed that the largest horizontal displacements were present in the soft start group (6.00 ± 0.82 µm) and in the X-tra power group (5.67 ± 1.21 µm). The smallest horizontal displacements were detected in normal curing modes (4.00 ± 1.58 µm; 4.00 ± 2.68 µm). The largest vertical displacements, at the bottom layer, were present in the normal curing mode group with a 20 s curing time (5.22 ± 1.56 µm), while the smallest vertical displacements were shown in the X-tra power group (2.89 ± 0.60 µm). The observed particle displacements showing the shrinkage of the composite were correlated with the curing mode. The bulk-fill group showed less cuspal deflection than the horizontal layering group did, but the difference was not statistically significant (p = 0.575). Conclusions: Within the limitations of this in vitro study, it can be concluded that lower intensities of curing lights (1200 mW/cm2) may perform better from the point of view of material shrinkage than high and extreme light intensities do. The pulse delay mode might be recommended in the case of bulk-fill materials. The number of layers did not significantly affect the cuspal deflection in the case of the studied composite.
Automatic Road Pavement Distress Recognition Using Deep Learning Networks from Unmanned Aerial Imagery
Authors: Samadzadegan Farhad , Dadrass Javan Farzaneh , Ashtari Mahini Farnaz , Gholamshahi Mehrnaz , Nex Francesco
Published: June 2024

Detecting and recognizing distress types on road pavement is crucial for selecting the most appropriate methods to repair, maintain, prevent further damage, and ensure the smooth functioning of daily activities. However, this task presents challenges, such as dealing with crowded backgrounds, the presence of multiple distress types in images, and their small sizes. In this study, the YOLOv8 network, a cutting-edge single-stage model, is employed to recognize seven common pavement distress types, including transverse cracks, longitudinal cracks, alligator cracks, oblique cracks, potholes, repairs, and delamination, using a dataset comprising 5796 terrestrial and unmanned aerial images. The network’s optimized architecture and multiple convolutional layers facilitate the extraction of high-level semantic features, enhancing algorithm accuracy, speed, and robustness. By combining high and low semantic features, the network achieves improved accuracy in addressing challenges and distinguishing between different distress types. The implemented Convolutional Neural Network demonstrates a recognition precision of 77%, accuracy of 81%, mAP of 79%, f1-score of 74%, and recall of 75%, underscoring the model’s effectiveness in recognizing various pavement distress forms in both aerial and terrestrial images. These results highlight the model’s satisfactory performance and its potential for effectively recognizing and categorizing pavement distress for efficient infrastructure maintenance and management.
Intelligent Online Offloading and Resource Allocation for HAP Drones and Satellite Collaborative Networks
Authors: Gao Cheng , Bian Xilin , Hu Bo , Chen Shanzhi , Wang Heng
Published: June 2024

High-altitude platform (HAP) drones and satellites collaborate to form a network that provides edge computing services to terrestrial internet of things (IoT) devices, which is considered a promising method. In this network, IoT devices’ tasks can be split into multiple parts and processed by servers at non-terrestrial nodes in different locations, thereby reducing task processing delays. However, splitting tasks and allocating communication and computing resources are important challenges. In this paper, we investigate the task offloading and resource allocation problem in multi-HAP drones and multi-satellite collaborative networks. In particular, we formulate a task splitting and communication and computing resource optimization problem to minimize the total delay of all IoT devices’ tasks. To solve this problem, we first transform and decompose the original problem into two subproblems. We design a task splitting optimization algorithm based on deep reinforcement learning, which can achieve online task offloading decision-making. This algorithm structurally designs the actor network to ensure that output actions are always valid. Furthermore, we utilize convex optimization methods to optimize the resource allocation subproblem. The simulation results show that our algorithm can effectively converge and significantly reduce the total task processing delay when compared with other baseline algorithms.
Drone-Based Instant Delivery Hub-and-Spoke Network Optimization
Authors: Hu Zhi-Hua , Huang Yan-Ling , Li Yao-Na , Bao Xiao-Qiong
Published: June 2024

Drone-based transportation is emerging as a novel mode in city logistics, featuring first-mile pickup and last-mile instant delivery using drones and truck transshipment. A fundamental challenge involves coordinating merchants, drones, transshipment hubs, trucks, and consumer communities through the hub-and-spoke network (HSN). This study formulated the optimization problem for HSN to minimize logistics costs and loss of orders constrained by service time limits. The ε-constraint model, two evolutionary algorithms based on Non-dominated Sorting Genetic Algorithm II (NSGA-II) using permutation (EAp) and rand key-based (EAr) encoding/decoding schemes were devised to solve the bi-objective mathematical program. Three groups of twelve experiments were conducted using ideal datasets and datasets generated from Shenzhen city to validate the models and algorithms. Relaxing the logistics objective by 10% and subsequently minimizing the loss of orders can significantly reduce average unmet orders by 24.61%; when spokes were beyond 20, the ε-constraint model failed to achieve solutions within an acceptable time. While EAp and EAr demonstrated competence, EAr proved to be more competitive in computation time, hypervolume, spacing metric, and the number of non-dominated solutions on the Pareto fronts. Key parameters influencing the HSN solutions include drone and truck speeds, acceptable delivery times, and the processing and waiting time at hubs.
Chaos-Assisted Dynamical Tunneling in Flat Band Superwires
Authors: Graf Anton M. , Lin Ke , Kim MyeongSeo , Keski-Rahkonen Joonas , Daza Alvar , Heller Eric J.
Published: June 2024

Recent theoretical investigations have revealed unconventional transport mechanisms within high Brillouin zones of two-dimensional superlattices. Electrons can navigate along channels we call superwires, gently guided without brute force confinement. Such dynamical confinement is caused by weak superlattice deflections, markedly different from the static or energetic confinement observed in traditional wave guides or one-dimensional electron wires. The quantum properties of superwires give rise to elastic dynamical tunneling, linking disjoint regions of the corresponding classical phase space, and enabling the emergence of several parallel channels. This paper provides the underlying theory and mechanisms that facilitate dynamical tunneling assisted by chaos in periodic lattices. Moreover, we show that the mechanism of dynamical tunneling can be effectively conceptualized through the lens of a paraxial approximation. Our results further reveal that superwires predominantly exist within flat bands, emerging from eigenstates that represent linear combinations of conventional degenerate Bloch states. Finally, we quantify tunneling rates across various lattice configurations and demonstrate that tunneling can be suppressed in a controlled fashion, illustrating potential implications in future nanodevices.
The Information Length Concept Applied to Plasma Turbulence
Authors: Anderson Johan , Imadera Kenji , Moradi Sara , Rafiq Tariq
Published: June 2024

A methodology to study statistical properties of anomalous transport in fusion plasma is investigated. Three time traces generated by the full-f gyrokinetic code GKNET are analyzed for this purpose. The time traces consist of heat flux as a function of the radial position, which is studied in a novel manner using statistical methods. The simulation data exhibit transport processes with both medium and long correlation length along the radius. A typical example of a phenomenon with long correlation length is avalanches. In order to investigate the evolution of the turbulent state, two basic configurations are studied, one flux-driven and one gradient-driven with decaying turbulence. The information length concept in tandem with Boltzmann–Gibbs and Tsallis entropy is used in the investigation. It is found that the dynamical states in both flux-driven and gradient-driven cases are surprisingly similar, but the Tsallis entropy reveals differences between them. This indicates that the types of probability distribution function are nevertheless quite different since the higher moments are significantly different.
Noise-like-Signal-Based Sub-Synchronous Oscillation Prediction for a Wind Farm with Doubly-Fed Induction Generators
Authors: Ma Junjie , Lyu Linxing , Man Junfeng , Chen Mengqi , Cheng Yijun
Published: June 2024

The DFIG-based wind farm faces sub-synchronous oscillation (SSO) when it is integrated with a series-compensated transmission system. The equivalent SSO damping is influenced by both wind speed and compensation level. However, it is hard for the wind farm to obtain a compensation level in time to predict the SSO risk. In this paper, an SSO risk prediction method for a DFIG wind farm is proposed based on the characteristics identified from noise-like signals. First, SSO-related parameters are analyzed. Then, the potential SSO frequency and damping are identified from signals at normal working points by integration using variational mode decomposition and Prony analysis. Finally, a fuzzy inference system is established to predict the SSO risk of a DFIG wind farm. The effectiveness of the proposed method is verified by simulation. The proposed prediction method can predict SSO risks caused by the variation in wind speed, while the transmission line parameters are undetectable for the wind farm.
An Improved YOLOv5 Algorithm for Tyre Defect Detection
Authors: Xie Mujun , Bian Heyu , Jiang Changhong , Zheng Zhong , Wang Wei
Published: June 2024

In this study, a tyre defect detection model is improved and optimized under the YOLOv5 framework, aiming at radial tyre defects with characteristics such as an elongated shape and various target sizes and defect types. The DySneakConv module is introduced to replace the first BotteneckCSP in the Backbone network. The deformation offset of the DySneakConv module is used to make the convolutional energy freely adapt to the structure to improve the recognition rate of tyre defects with elongated features; the AIFI module is introduced to replace the fourth BotteneckCSP, and the self-attention mechanism and the processing of large-scale features are used to improve the recognition rate of tyre defects with elongated features using the AIFI module. This latter module has a self-attention mechanism and the ability to handle large-scale features to solve the problems of diverse tyre defects and different sizes. Secondly, the CARAFE up-sampling operator is introduced to replace the up-sampling operator in the Neck network. The up-sampling kernel prediction module in the CARAFE operator is used to increase the receptive field and allow the feature reorganization module to capture more semantic information to overcome the information loss problem of the up-sampling operator. Finally, based on the improved YOLOv5 detection algorithm, the Channel-wise Knowledge Distillation algorithm lightens the model, reducing its computational requirements and size while ensuring detection accuracy. Experimental studies were conducted on a dataset containing four types of tyre defects. Experimental results for the training set show that the improved algorithm improves the mAP0.5 by 4.6 pp, reduces the model size by 25.6 MB, reduces the computational complexity of the model by 31.3 GFLOPs, and reduces the number of parameters by 12.7 × 106 compared to the original YOLOv5m algorithm. Experimental results for the test set show that the improved algorithm improves the mAP0.5 by 2.6 pp compared to the original YOLOv5m algorithm. This suggests that the improved algorithm is more suitable for tyre defect detection than the original YOLOv5.
Visible Light-Driven Hydrogen Evolution Catalysis by Heteroleptic Ni(II) Complexes with Chelating Nitrogen Ligands: Probing Ligand Substituent Position and Photosensitizer Effects
Authors: Kourmousi Maria , Kamatsos Fotios , Mitsopoulou Christiana A.
Published: June 2024

This study aims to advance the field of green chemistry and catalysis by exploring alternatives to conventional non-renewable energy sources. Emphasis is placed on hydrogen as a potential fuel, with a focus on the catalytic properties of Ni(II) complexes when coordinated with o-phenylenediamine and diimine ligands. We report the synthesis and comprehensive characterization, with various physical and spectroscopic techniques, of three heteroleptic Ni(II) complexes: [Ni(1,10-phenanthroline)(o-phenylene diamine)] (1), [Ni(2,2-dimethyl-2,2-bipyridine)(o-phenylene diamine)] (2), and [Ni(5,5-dimethyl-2,2-bipyridine)(o-phenylene diamine)] (3). The catalytic activity of these complexes for hydrogen evolution was assessed through photochemical studies utilizing visible light irradiation. Two distinct photosensitizers, fluorescein and quantum dots, were examined under diverse conditions. Additionally, their electrocatalytic behavior was investigated to elucidate the hydrogen evolution reaction (HER) mechanism, revealing a combined proton-coupled electron transfer (PCET)/electron-coupled proton transfer (ECPT) mechanism attributed to the chemical nature of the diamine ligand. The influence of ligand substituent position, ligand chemical nature, and photosensitizer type on catalytic performance was systematically studied. Among the complexes investigated, complex 2 demonstrated superior catalytic performance, achieving a turnover number (TON) of 3357 in photochemical experiments using fluorescein as a photosensitizer. Conversely, complex 1 exhibited the highest TON of 30,066 for HER when quantum dots were employed as the photosensitizer.
DNA Barcoding Revealed Mislabeling of Imported Seafood Products in Thailand
Authors: Senathipathi Deep Nithun , Benjakul Soottawat , Sukkapat Phutthipong , Detcharoen Matsapume , Moorthy Gururaj , Saetang Jirakrit
Published: June 2024

Seafood mislabeling threatens customer rights and causes economic loss worldwide. The information on seafood misrepresentation in Thailand is still lacking, and the investigation and monitoring program must be well established. This study investigated the mislabeling status of imported seafood in Thailand using the DNA barcoding technique. A total of 45 imported seafood products from five distributors were included. Scientific, common, local, and market names of seafood samples were obtained from FAO and Fishbase databases. DNA was extracted, and PCR was performed using a universal primer targeting the COI gene. Species of each sample were identified with over 98% similarity based on COI sequence analysis. DNA sequence revealed 11 mislabeled samples. Among substituted species, Pangasianodon hypophthalmus and Thunnus maccoyii were found to be endangered species according to IUCN status. Products obtained from Brand-C showed the highest mislabeling rate (42.85%). The phylogenetic analysis adopted with the TIM2+F+I+G4 model showed the sequenced DNA similar to the NCBI database reference sequence. Overall, mislabeled products of imported seafood were found at the rate of 24.44%, suggesting that strict surveillance for seafood substitution should be implemented in Thailand.
Alternative Substrates for the Development of Fermented Beverages Analogous to Kombucha: An Integrative Review
Authors: Barros Vinicius Costa , Botelho Vanessa Albres , Chisté Renan Campos
Published: June 2024

Kombucha is a fermented beverage that originated in China and is spread worldwide today. The infusion of Camellia sinensis leaves is mandatory as the substrate to produce kombucha but alternative plant infusions are expected to increase the opportunities to develop new fermented food products analogous to kombucha, with high technological potential and functional properties. This review gathers information regarding promising alternative substrates to produce kombucha-analogous beverages, focusing on plants available in the Amazonia biome. The data from the literature showed a wide range of alternative substrates in increasing expansion, with 37 new substrates being highlighted, of which ~29% are available in the Amazon region. Regarding the technological production of kombucha-analogous beverages, the following were the most frequent conditions: sucrose was the most used carbon/energy source; the infusions were mostly prepared at 90–100 °C, which allowed increased contents of phenolic compounds in the product; and 14 day-fermentation at 25–28 °C was typical. Furthermore, herbs with promising bioactive compound compositions and high antioxidant and antimicrobial properties are usually preferred. This review also brings up gaps in the literature, such as the lack of consistent information about chemical composition, sensory aspects, biological properties, and market strategies for fermented beverages analogous to kombucha produced with alternative substrates. Therefore, investigations aiming to overcome these gaps may stimulate the upscale of these beverages in reaching wide access to contribute to the modern consumers’ quality of life.
Analysis of Food Security of Older Rural Indigenous People in Latin America and the Caribbean
Authors: Hernández-Moreno Angélica , Vásquez-Palma Olga , Gutiérrez-Gutiérrez Fernanda , Cordero-Ahiman Otilia , Celedón-Celis Natalia , Hochstetter-Diez Jorge
Published: June 2024

Food insecurity is a critical issue in the Americas, with severe impacts in the Caribbean, Mesoamerica, and South America, particularly affecting older adults in Indigenous and rural contexts where it intersects with poverty, gender, and ethnicity. This study aims to provide an in-depth understanding of the current research about food insecurity among older Indigenous adults in Latin America and the Caribbean. A comprehensive literature review was conducted, utilizing specific search queries and the population, intervention, comparison, and outcome (PICO) strategy across multiple databases to identify the pertinent studies. The findings indicate an increase in academic output on this topic since 2018, with significant emphasis on the interplay between climate change and food insecurity. The review highlights the importance of developing targeted food programs, reforming policies, and fostering collaboration between academia and local communities to implement practical interventions. Despite the growing body of literature, a notable research gap persists in rural areas of Latin America and the Caribbean. This study underscores the necessity of balancing the geographic distribution of research and emphasizes the preservation of cultural practices and the adaptation of public policies to support traditional food practices. It advocates for culturally sensitive interventions and interdisciplinary collaboration to formulate comprehensive strategies. The originality and value of this study lie in its focused analysis of older Indigenous adults, contributing crucial insights to the international literature on food security.
The Selection of Biogas Plants in the Indian Context Based on Performability—An Analytic Hierarchy Process and Weighted Aggregated Sum Product Assessment Approach
Authors: Jamal Haris , Loganathan M. K. , Ramesh P. G. , Singh Mandeep
Published: June 2024

The purpose of this research paper is to present a framework for selecting a biogas plant for the Indian rural community, considering performability factors such as reliability, quality, maintainability, safety, and sustainability. This will ensure that the plant operates reliably, efficiently, and safely over its entire life cycle and can play a significant role as a decision-support tool for decision-makers (e.g., managers, engineers, stakeholders). The proposed framework integrates the Analytic Hierarchy Process (AHP), and the Weighted Aggregated Sum Product Assessment (WASPAS) to optimally evaluate and prioritize the best alternative based on performability factors. The findings show that the suitable biogas plant in the context of the Indian rural population is a fixed-dome-type plant. The decision-making process in selecting the best biogas plant can be effectively aided by using this suggested tool. Currently, there are no proper tools or methods for selecting biogas plants for rural areas due to a lack of data or relevant literature on operational issues. The proposed method uses performability factors for the selection, which has not been researched so far. Moreover, the AHP–WASPAS approach offers a robust method for selecting biogas plants, ensuring efficient and sustainable energy production. The proposed method will help policymakers and stakeholders to choose the best biogas plant in the context of Indian rural application.
Galanin Coordinates Macrophage-Associated Fibro-Inflammatory Response and Mitochondrial Integrity in Myocardial Infarction Reperfusion Injury
Authors: Savchenko Lesia , Kramar Solomiia , Todua Nika , Marsal Dimitri , Kang Ryeonshi , Swiader Audrey , Pizzinat Nathalie , Kunduzova Oksana
Published: June 2024

Myocardial infarction activates an intense fibro-inflammatory reaction that is essential for cardiac remodeling and heart failure (HF). Bioactive peptide galanin plays a critical role in regulating cardiovascular homeostasis; however, its specific functional relevance in post-infarction fibro-inflammatory reprogramming remains obscure. Here, we show that galanin coordinates the fibro-inflammatory trajectory and mitochondrial integrity in post-infarction reperfusion injury. Aberrant deposition of collagen was associated with a marked increase in CD68-positive macrophage infiltration in cardiac tissue in mice subjected to myocardial ischemia/reperfusion (I/R) for 14 days compared to sham controls. Furthermore, we found that the myocardial expression level of a specific marker of M2 macrophages, CD206, was significantly down-regulated in I/R-challenged mice. In contrast, galanin treatment started during the reperfusion phase blunted the fibro-inflammatory responses and promoted the expression of CD206 in I/R-remodeled hearts. In addition, we found that the anti-apoptotic and anti-hypertrophic effects of galanin were associated with the preservation of mitochondrial integrity and promotion of mitochondrial biogenesis. These findings depict galanin as a key arbitrator of fibro-inflammatory responses to cardiac I/R injury and offer a promising therapeutic trajectory for the treatment of post-infarct cardiovascular complications.