bluuebunny/crossref_metadata_2025 huggingface dataset:
Design, Optimization, and Experimental Evaluation of Slow Light Generated by π-Phase-Shifted Fiber Bragg Grating for Use in Sensing Applications
Authors: Vaňko Matúš , Glesk Ivan , Müllerová Jarmila , Dubovan Jozef , Dado Milan
Published: January 2024

This paper describes design, theoretical analysis, and experimental evaluation of a π-Phase-Shifted Fiber Bragg Grating (π-PSFBG) inscribed in the standard telecom fiber for slow light generation. At first, the grating was designed for its use in the reflection mode with a central wavelength of 1552 nm and a pass band width of less than 100 pm. The impact of fabrication imperfections was experimentally investigated and compared to model predictions. The optical spectra obtained experimentally show that the spectral region used for slow light generation is narrower (less than 10 pm), thus allowing for too-low levels of slow light optical-output power. In the next step, the optimization of the grating design was conducted to account for fabrication errors, to improve the grating’s spectral behavior and its temporal performance, and to widen the spectral interval for slow light generation in the grating’s transmission mode. The targeted central wavelength was 1553 nm. The π-PSFBG was then commercially fabricated, and the achieved parameters were experimentally investigated. For the region of (1551–1554) nm, a 15-fold increase in the grating’s pass band width was achieved. We have shown that a pair of retarded optical pulses were generated. The measured group delay was found to be ~10.5 ps (compared to 19 ps predicted by the model). The π-PSFBG operating in its transmission mode has the potential to operate as tunable delay line for applications in RF photonics, ultra-fast signal processing, and optical communications, where tunable high precision delay lines are highly desirable. The π-PSFBG can be designed and used for the generation of variable group delays from tens to hundreds of ps, depending on application needs.
Hybrid Feature Extractor Using Discrete Wavelet Transform and Histogram of Oriented Gradient on Convolutional-Neural-Network-Based Palm Vein Recognition
Authors: Wulandari Meirista , Chai Rifai , Basari Basari , Gunawan Dadang
Published: January 2024

Biometric recognition techniques have become more developed recently, especially in security and attendance systems. Biometrics are features attached to the human body that are considered safer and more reliable since they are difficult to imitate or lose. One of the popular biometrics considered in research is palm veins. They are an intrinsic biometric located under the human skin, so they have several advantages when developing verification systems. However, palm vein images obtained based on infrared spectra have several disadvantages, such as nonuniform illumination and low contrast. This study, based on a convolutional neural network (CNN), was conducted on five public datasets from CASIA, Vera, Tongji, PolyU, and PUT, with three parameters: accuracy, AUC, and EER. Our proposed VeinCNN recognition method, called verification scheme with VeinCNN, uses hybrid feature extraction from a discrete wavelet transform (DWT) and histogram of oriented gradient (HOG). It shows promising results in terms of accuracy, AUC, and EER values, especially in the total parameter values. The best result was obtained for the CASIA dataset with 99.85% accuracy, 99.80% AUC, and 0.0083 EER.
Microwave Receiving System Based on Cryogenic Sensors for the Optical Big Telescope Alt-Azimuth
Authors: Balega Yurii , Bubnov Grigory , Chekushkin Artem , Dubrovich Victor , Edelman Valerian , Gunbina Aleksandra , Kapustin Sergey , Khabarova Tatyana , Kukushkin Dmitrii , Lapkin Igor , Mansfeld Maria , Maruhno Andrei , Parshin Vladimir , Raevskiy Aleksey , Stolyarov Vladislav , Tarasov Mikhail , Valyavin Gennady , Vdovin Vyacheslav , Yakopov Grigory , Yusupov Renat , Zemlyanukha Petr , Zinchenko Igor
Published: January 2024

This article presents the results of evaluating the possibility of conducting radio astronomy studies in the windows of atmospheric transparency ~100, ~230, and ~350 GHz using the optical Big Telescope Alt-Azimuthal (BTA) of the Special Astrophysical Observatory of the Russian Academy of Sciences (SAO RAS). A list of some promising astronomical tasks is proposed. The astroclimat conditions at the BTA site and possible optical, cryogenic, and mechanical interfaces for mounting a superconducting radio receiver at the focus of the optical telescope are considered. As a receiving system, arrays of detectors cooled to ~0.3 K based on the superconductor–insulator–normal metal–insulator–superconductor (SINIS) structure are proposed. The implementation of the project will make it possible to use the BTA site of the SAO RAS not only to solve some astronomical problems (it is possible to consider the implementation of a single observatory, the VLBI (very-long-baseline interferometry) mode in the Suffa, EHT (Event Horizon Telescope), and Millimetron projects), but it will also be used to test various cryogenic detectors in a real observatory.
Security and Trust Management in the Internet of Vehicles (IoV): Challenges and Machine Learning Solutions
Authors: Alalwany Easa , Mahgoub Imad
Published: January 2024

The Internet of Vehicles (IoV) is a technology that is connected to the public internet and is a subnetwork of the Internet of Things (IoT) in which vehicles with sensors are connected to a mobile and wireless network. Numerous vehicles, users, things, and networks allow nodes to communicate information with their surroundings via various communication channels. IoV aims to enhance the comfort of driving, improve energy management, secure data transmission, and prevent road accidents. Despite IoV’s advantages, it comes with its own set of challenges, particularly in the highly important aspects of security and trust. Trust management is one of the potential security mechanisms aimed at increasing reliability in IoV environments. Protecting IoV environments from diverse attacks poses significant challenges, prompting researchers to explore various technologies for security solutions and trust evaluation methods. Traditional approaches have been employed, but innovative solutions are imperative. Amid these challenges, machine learning (ML) has emerged as a potent solution, leveraging its remarkable advancements to effectively address IoV’s security and trust concerns. ML can potentially be utilized as a powerful technology to address security and trust issues in IoV environments. In this survey, we delve into an overview of IoV and trust management, discussing security requirements, challenges, and attacks. Additionally, we introduce a classification scheme for ML techniques and survey ML-based security and trust management schemes. This research provides an overview for understanding IoV and the potential of ML in improving its security framework. Additionally, it provides insights into the future of trust and security enhancement.
Remaining Useful Life Estimation of Hollow Worn Railway Vehicle Wheels via On-Board Random Vibration-Based Wheel Tread Depth Estimation
Authors: Iliopoulos Ilias A. , Sakellariou John S.
Published: January 2024

The problem of remaining useful life estimation (RULE) of hollow worn railway vehicle wheels in terms of remaining mileage via wheel tread depth estimation using on-board vibration signals from a single accelerometer on the bogie frame is presently investigated. This is achieved based on the introduction of a statistical time series method that employs: (i) advanced data-driven stochastic Functionally Pooled models for the modeling of the vehicle dynamics under different wheel tread depths in a range of interest until a critical limit, as well as tread depth estimation through a proper optimization procedure, and (ii) a wheel tread depth evolution function with respect to the vehicle running mileage that interconnects the estimated hollow wear with the remaining useful mileage. The method’s RULE performance is investigated via hundreds of Simpack-based Monte Carlo simulations with an Attiko Metro S.A. vehicle and many hollow worn wheels scenarios which are not used for the method’s training. The obtained results indicate the accurate estimation of the wheels tread depth with a mean absolute error of ∼0.07 mm that leads to a corresponding small error of ∼3% with respect to the wheels remaining useful mileage. In addition, the comparison with a recently introduced Multiple Model (MM)-based multi-health state classification method for RULE, demonstrates the better performance of the postulated method that achieves 81.17% True Positive Rate (TPR) which is significantly higher than the 45.44% of the MM method.
Non-Repetitive Scanning LiDAR Sensor for Robust 3D Point Cloud Registration in Localization and Mapping Applications
Authors: Aijazi Ahmad K. , Checchin Paul
Published: January 2024

Three-dimensional point cloud registration is a fundamental task for localization and mapping in autonomous navigation applications. Over the years, registration algorithms have evolved; nevertheless, several challenges still remain. Recently, non-repetitive scanning LiDAR sensors have emerged as a promising 3D data acquisition tool. However, the feasibility of this type of sensor to leverage robust point cloud registration still needs to be ascertained. In this paper, we explore the feasibility of one such LiDAR sensor with a Spirograph-type non-repetitive scanning pattern for robust 3D point cloud registration. We first characterize the data of this unique sensor; then, utilizing these results, we propose a new 3D point cloud registration method that exploits the unique scanning pattern of the sensor to register successive 3D scans. The characteristic equations of the unique scanning pattern, determined during the characterization phase, are used to reconstruct a perfect scan at the target distance. The real scan is then compared with this reconstructed scan to extract objects in the scene. The displacement of these extracted objects with respect to the center of the unique scanning pattern is compared in successive scans to determine the transformations that are then used to register these scans. The proposed method is evaluated on two real and different datasets and compared with other state-of-the-art registration methods. After analysis, the performance (localization and mapping results) of the proposed method is further improved by adding constraints like loop closure and employing a Curve Fitting Derivative Filter (CFDT) to better estimate the trajectory. The results clearly demonstrate the suitability of the sensor for such applications. The proposed method is found to be comparable with other methods in terms of accuracy but surpasses them in performance in terms of processing time.
Food Insecurity within a Public University and the Role of Food Assistance Programs Amid the Global Pandemic
Authors: Andre Evansha , Li Yingru , Li Dapeng , Carter J. Scott , Donley Amy , Ng Boon Peng
Published: January 2024

Food insecurity (FI) is a pressing concern among university students in the United States, and the COVID-19 pandemic has exacerbated this issue. Providing food assistance for university students has become more challenging due to pandemic-related consequences and interventions. This study aims to (1) analyze social inequalities in FI among university students in a large public university during the pandemic, (2) investigate the association of their utilization of campus, community, and federal food assistance programs (FAPs) and FI, and (3) understand the barriers students face in accessing FAPs. Survey questionnaires were distributed to students to gather their socio-demographics, FI, and usage of FAPs. Logistic regression was utilized to assess the relationship between students’ FI and their use of FAPs. Among the surveyed students (n = 282), 33.7% reported experiencing FI. Higher FI rates were observed among socially vulnerable student groups, for example, non-Hispanic Black (62.5%) and Hispanic students (38.7%), compared with non-Hispanic White students (32.1%). FAPs had a limited influence on students’ FI due to low utilization. The primary barriers to FAPs were insufficient information, ineligibility, and social stigma. The findings suggest it is crucial to reduce barriers to using FAPs and develop targeted interventions for marginalized students to address inequalities in FI.
Analysis of the Sports Psychological Profile, Competitive Anxiety, Self-Confidence and Flow State in Young Football Players
Authors: Domínguez-González José A. , Reigal Rafael E. , Morales-Sánchez Verónica , Hernández-Mendo Antonio
Published: January 2024

The objective of this study was to analyse the correlations among the sports psychological profile, competitive anxiety, self-confidence and the flow state of young football players. Additionally, potential distinctions based on age category, competitive level and field position were explored. This study included 328 participants divided into two groups: Group 1, 14–15 year olds, and Group 2, 16–18 year olds (M = 15.85; SD = 1.44). Data were collected by using the Psychological Inventory of Sports Execution (IPED), the Revised Competitive State Anxiety Inventory-2 (CSAI-2R) and the Flow State Scale (FSS). The findings revealed positive associations between the sports psychological profile and self-confidence, as well as with the flow state. Conversely, competitive anxiety demonstrated negative relationships with the sports psychological profile, self-confidence and the state of flow. Moreover, superior scores were observed in the analysed variables for the older age category and higher competitive level, with no notable disparities based on field positions. These results underscore the interplay of psychological factors in the performance of football players and underline distinctions among players according to their category (age and level). This emphasises the importance of scrutinising these variables in athletes to comprehend their profiles and enable targeted interventions aimed at enhancing their psychological resources for competitive scenarios.
School Bus Lighting Effectiveness and Improvements: Results from a Driving Experiment
Authors: Farmer Devon , Song Yeonjung , Shin Panju , Kim Hyun , Tandan Sanjay , Lee Jun
Published: January 2024

In Korea, drivers should come to a complete halt and proceed cautiously when encountering a school bus displaying its red warning lights and other safety features, a requirement that is often disregarded in practice. The reason for this might stem from a lack of awareness about the law, and we set out to investigate whether an innovative lighting system employing road projections or VMS could encourage compliance. We found that while 63% of drivers in surveys indicated they would correctly stop when approaching a stopped school bus, in driving experiments, we found that only 18% of drivers did. Our study also uncovered a knowledge gap, with just 53% to 60% of respondents correctly answering basic about the purpose of existing lighting and laws related to school buses. With on-road experiments, when we introduced road projection systems for enhanced non-connected vehicle-to-vehicle (V2V) communication, we found that understanding would increase and compliance could increase by up to 77% (from surveys) and 93% (in road tests); these findings underscore the potential of road projections or potentially VMS as effective V2V tools for enhancing road safety in proximity to school buses.
The Effect of Owner-Managers’ Personality Traits on Organisational Ambidexterity in the Context of Small and Medium-Sized Enterprises
Authors: Andrade José , Mendes Luis , Franco Mário
Published: January 2024

This empirical study aimed to analyse the influence of the personality traits of owner-managers in small and medium-sized enterprises (SMEs) on organisational ambidexterity (OA). Based on the existing literature, five hypotheses were formulated about the relationships between the Big Five personality traits and organisational ambidexterity. A second-order structural equation model was used with a sample of 224 Portuguese SMEs in the sector of information technology (IT), telecommunications, and audio-visual and IT consultancy. The results obtained suggest that the personality traits of extraversion, neuroticism (versus emotional stability) and conscientiousness have a significant influence on organisational ambidexterity. These results are consistent with the research and demonstrate that owner-managers’ personality traits influence organisational ambidexterity in SMEs. Theoretical and practical implications are explored.
The Role of Digitalization in Cross-Border E-Commerce Performance of Italian SMEs
Authors: Dallocchio Maurizio , Lambri Marcello , Sironi Emiliano , Teti Emanuele
Published: January 2024

The utilization of digital technologies is rapidly increasing businesses’ capacities for innovation and growth, especially in the case of small and medium-sized enterprises (SMEs), with strong benefits in efficiency, competitiveness, and market reach. We aimed to study the impact of digital technologies on cross-border e-commerce (CBEC) in Italian SMEs, with regard to three main ICT areas: e-business, e-marketing, and e-commerce. Using a regression analysis, the study found that e-business tools have an unclear impact on cross-border e-commerce, while e-marketing tools, such as data tracking for medium-sized enterprises and social media for all SMEs, have a positive and significant impact on the online export performance. Finally, we examined the impact of being present on a marketplace rather than having a proprietary e-commerce website, and we found that having a presence on marketplaces such as Amazon or Alibaba is more effective than having a proprietary e-commerce website in terms of cross-border online sales. These results are useful both for policy makers and managers, since making informed decisions to develop SMEs is crucial for industrial strategy effectiveness.
Initiatives and Prospects for Sustainable Agricultural Production in Karangasem Regency, Bali, Indonesia
Authors: Hirakawa Shoi , Masuyama Honoka , Sudiarta I Putu , Suprapta Dewa Ngurah , Shiotsu Fumitaka
Published: January 2024

Improving agricultural productivity to ensure food security while maintaining sustainability is a challenge that needs to be overcome in Bali, Indonesia. Ten farmers in Karangasem Regency, which is among the areas in Bali with a low food security index, were interviewed regarding their agricultural practices and government support for increasing the production of rice and chili—the main crops in the regency—while maintaining sustainability. The interview results revealed that the farmers recognized a lack of sunlight and disease as constraints to cultivation and attempted to improve productivity and control the disease by selecting varieties, cropping systems, and synthetic insecticides based on their previous experiences and the recommendations of agricultural extension workers. The Karangasem Regency Government actively encourages farmers to use biofertilizers and biological control agents to promote sustainable agriculture. Their use to improve rice and chili productivity is important to sustainably increase food security not only in Karangasem Regency but also in Bali Province. Furthermore, since agricultural extension workers are a source of information on agricultural production for farmers, it is important to train them for further extension activities in the future.
Behavioral Intention in Domestic Heritage Tourism—An Extension of the Theory of Planned Behavior
Authors: Osiako Peter Onyonje , Szente Viktória
Published: January 2024

Heritage tourist attractions are important in the diversification of tourism product offers for any competitive tourist destination. The current status of domestic heritage tourism in Kenya remains under-researched leaving many critical areas of interest requiring more research attention and redress. These needs also have to be examined in the Kenyan domestic heritage tourism context with a view to creating and satisfying higher demand for tourists. This research expands the widespread theory of planned behavior (TPB) by adding motivation and perceived safety and security as predictors of visit intention. In total, 802 respondents filled out the structured questionnaire, of which 693 questionnaires (86%) were found to be valid. The findings of this study validated the TPB with respect to heritage visitation in a domestic tourism context. It was further established that the expanded TPB model and its variables were applicable and more efficacious in directly predicting visit intention to historical heritage attractions. These results reveal the key determinants of the willingness of domestic tourists to visit historical heritage sites. Destination marketers and managers should endeavor to enhance the five psychographic aspects considered in the current study, in order to cultivate higher intentions towards visiting historical heritage sites among domestic tourists.
Visualising Landscape Dynamics
Authors: Ganciu Amedeo , Cicalò Enrico , Valentino Michele , Balestrieri Mara
Published: January 2024

A landscape is a complex and dynamic system composed of tangible and intangible, natural and artificial, economic and social, technological, and socio-historical values [...]
Sales in Commercial Alleys and Their Association with Air Pollution: Case Study in South Korea
Authors: Ashraf Khadija , Lee Kangjae , Kim Geunhan , Kang Jeon-Young
Published: January 2024

We investigate the dynamic interplay between air pollution (PM10) and income and their joint association with quarterly sales in commercial alleys, focusing on the pre-COVID-19 (2018–2019) and COVID-19 (2020–2021) periods in Seoul, South Korea. The objective of this study is to identify how air pollution and income collectively influence consumer spending patterns by looking at the increase and decrease in sales in commercial alleys, with a focus on contrasting these effects before and during the COVID-19 pandemic, utilizing advanced machine learning techniques for deeper insights. Using machine learning techniques, including random forest, extreme gradient boosting, catboost, and lightGBM, and employing explainable artificial intelligence (XAI), this study identifies shifts in the significance of predictor variables, particularly PM10, before and during the pandemic. The results show that before the pandemic, PM10 played a notable role in shaping sales predictions, highlighting the sensitivity of sales to air quality. However, during the pandemic, the importance of PM10 decreased significantly, highlighting the transformative indirect impact of external events on consumer behavior. This study also examines the joint association of PM10 and income with sales, revealing distinctive patterns in consumer responses to air quality changes during the pandemic. These findings highlight the need for dynamic modeling to capture evolving consumer behavior and provide valuable insights for businesses and policymakers navigating changing economic and environmental conditions. While this study’s focus is on a specific region and time frame, the findings emphasize the importance of adaptability in predictive models and contribute to understanding the complex interplay between environmental and economic factors in shaping consumer spending behavior.
Meta-Analysis of Life Cycle Assessment Studies for Polyethylene Terephthalate Water Bottle System
Authors: Go Yoo-Jin , Kang Dong-Ho , Park Hyun-Jin , Lee Jun-Hyuk , Shim Jin-Kie
Published: January 2024

The life cycle assessment (LCA) serves as a crucial tool for assessing the environmental impact of products, with recent emphasis on polyethylene terephthalate (PET) bottles. Our meta-analytical review of 14 LCA research papers (2010–2022) on PET bottles, aligned with PRISMA guidelines, spans six phases: raw material production (MP), bottle production (BP), distribution and transportation (DT), collection and transport (CT), waste management (WM), and environmental benefits (EB). Utilizing the global warming potential (GWP) as the indicator, our study harmonized data into a consistent functional unit, revealing an average emission of 5.1 kg CO2 equivalent per 1 kg of PET bottles. Major contributors to global warming were identified across the MP, BP, and DT phases. While the MP and BP phases exhibited low variability due to uniform processes, the CT, WM, and EB phases displayed higher variability due to scenario considerations. A comparison with Korean environmental product declaration data affirmed the methodology’s practical utility. Our approach offers potential applicability in diverse product category assessments, emphasizing its relevance for informed decision-making in sustainable product development.
Blueprints to Benefits: Towards an Index to Measure the Impact of Sustainable Product Development on the Firm’s Bottom Line
Authors: Sajid Muhammed , Ertz Myriam
Published: January 2024

This study pioneers the development of the Sustainable Product Impact (SPI) Index, a novel framework designed to bridge the gap in existing sustainability assessment methodologies by focusing specifically on the influence of sustainable product development on a firm’s financial outcomes. For the first time, this research draws on the core principles of economics, marketing, and environmental sciences research fields to provide a comprehensive tool that enables businesses to quantify the multifaceted impacts of their sustainability initiatives within a corporate context. The SPI Index is an innovative metric that evaluates various factors, including financial and market performance, operational efficiency, brand perception, regulatory benefits, and long-term strategic advantages. This holistic approach allows for a more nuanced understanding of how sustainable practices influence a company’s bottom line and overall market position. Key findings of this research reveal that integrating sustainable product development into business strategies enhances environmental stewardship and impacts financial performance. The SPI Index has demonstrated its capacity to provide detailed insights into the specific areas of sustainability that most strongly affect profitability, thereby guiding businesses in their strategic planning and decision-making processes. In terms of originality and value, this study contributes to the existing body of knowledge by offering a unique and practical tool for businesses. The SPI Index stands out in its ability to translate sustainability efforts into quantifiable financial metrics, promoting a more integrated and balanced approach to corporate sustainability and profitability. Hence, this research plays a crucial role in guiding companies toward responsible corporate citizenship while focusing on economic viability in the modern business landscape.
Adults of Sun Coral Tubastraea coccinea (Lesson 1829) Are Resistant to New Antifouling Biocides
Authors: Martins Isabela , Capel Kátia Cristina Cruz , Abessa Denis Moledo de Souza
Published: January 2024

Biocides used in antifouling (AF) paints, such as 4,5-dichlorine-2-n-octyl-4-isothiazole-3-one (DCOIT), can gradually leach into the environment. Some AF compounds can persist in the marine environment and cause harmful effects to non-target organisms. Nanoengineered materials, such as mesoporous silica nanocapsules (SiNCs) containing AF compounds, have been developed to control their release rate and reduce their toxicity to aquatic organisms. This study aimed to evaluate the acute toxicity of new nanoengineered materials, SiNC-DCOIT and a silver-coated form (SiNC-DCOIT-Ag), as well as the free form of DCOIT and empty nanocapsules (SiNCs), on the sun coral Tubastraea coccinea. T. coccinea is an invasive species and can be an alternative test organism for evaluating the risks to native species, as most native corals are currently threatened. The colonies were collected from the Alcatrazes Archipelago, SP, Brazil, and acclimatized to laboratory conditions. They were exposed for 96 h to different concentrations of the tested substances: 3.33, 10, 33, and 100 µg L−1 of free DCOIT; 500, 1000, 2000, and 4000 µg L−1 of SiNC; and 74.1, 222.2, 666.7, and 2000 µg L−1 of SiNC-DCOIT and SiNC-DCOIT-Ag. The test chambers consisted of 500 mL flasks containing the test solutions, and the tests were maintained under constant aeration, a constant temperature of 23 ± 2 °C, and photoperiod of 12 h:12 h (light/dark). At the end of the experiments, no lethal effect was observed; however, some sublethal effects were noticeable, such as the exposure of the skeleton in most of the concentrations and replicates, except for the controls, and embrittlement at higher concentrations. Adults of T. coccinea were considered slightly sensitive to the tested substances. This resistance may indicate a greater capacity for proliferation in the species, which is favored in substrates containing antifouling paints, to the detriment of the native species.
Ecological Risk and Pollution Assessment of Heavy Metals in Farmland Soil Profile with Consideration of Atmosphere Deposition in Central China
Authors: Zhao Yang , Hou Yuxin , Wang Fei
Published: January 2024

Heavy metals (HMs) in agricultural land have caused serious environmental problems, resulting in severe contamination of the food chain and posing potential health threats. This study aims to investigate the pollution levels and potential ecological risks of HMs in farmland soils in central China, taking into account atmospheric deposition. Several indices were used to assess the status of HMs and compare surface soil with deeper soil. Descriptive statistics, Pearson correlation, and UMAP clustering methods were utilized to identify the characteristics of HMs. Additionally, stepwise linear regression models were employed to quantify the contributions of different variables to the potential ecological risks of HMs. The results showed that the average content of Zn in surface soil (289.41 ± 87.72 mg/kg) was higher than in the deeper soil (207.62 ± 37.81 mg/kg), and similar differences were observed in the mean values of related Igeo (1.622 ± 0.453 in surface soil and 1.183 ± 0.259 in deeper soil) and PEI (0.965 ± 0.292 in surface soil and 0.692 ± 0.126 in deeper soil) indices. This indicates that surface soil is more heavily polluted. The UMAP results confirmed the high variability of HMs in the surface soil, while PCA results suggested the importance of pollution and ecological risk indices. The stepwise linear model revealed that different variable structures contribute differently to the risk. In conclusion, Cr and Zn were found to be the major contaminants in the local farmland soil, with higher concentrations in the surface soil. The geoaccumulation and total potential ecological risk were classified as low risk. High variability of HMs was observed in the surface soil. Therefore, HM-related pollution indices and ecological risk indices are important for assessing the contamination status of local HMs. The local potential ecological risk can be attributed to specific heavy metals, each of which can have different effects on the local ecological risk.
Cutaneous Canine Mast Cell Tumor: The Use of Proliferative Markers (Ki-67 and Ki-67 × AgNOR) in Cytological Samples for Diagnosis and Prognosis
Authors: Marouda Christina , Anagnostou Tilemahos , Brunetti Barbara , Savvas Ioannis , Papazoglou Lysimachos G. , Psalla Dimitra
Published: January 2024

A cytological grading system for canine mast cell tumors (MCTs) has been developed, but its integration into clinical routine has been hindered due to its diagnostic limitations. The aim of this study was to assess the prognostic value of Ki-67 and argyrophilic nucleolar organizing region (AgNOR) markers in cytological MCT samples and to determine cut-off values for these markers in correlation with histopathological grading. Cytological samples were collected prior to surgical excision, and histopathological samples were obtained postsurgery from 45 dogs diagnosed with cutaneous mast cell tumors (MCTs). The cytological specimens were classified using a two-tier grading system, and their Ki-67 (average immunopositive nuclei per 100 cells) and AgNOR (average AgNOR counts per 100 nuclei) signaling was assessed. Through receiver operating characteristic (ROC) analysis, cut-off values for Ki-67 and Ki-67 × AgNOR were determined to better align with histopathological grading (classified as low or high grade according to Kiupel’s scoring system). Without the inclusion of proliferative markers, there was a 73% agreement between cytological and histopathological grading. The prediction of histopathological grade was slightly more accurate when assessing Ki-67 and Ki-67 × AgNOR signaling in cytological specimens (75% and 80%, respectively) compared to the initial cytological grading. The cytological assessment of canine MCTs proves beneficial for the initial evaluation, and the incorporation of the evaluation of Ki-67 and AgNOR markers may assist in identifying diagnostically highly malignant MCTs.
Identification of the Linear Fc-Binding Site on the Bovine IgG1 Fc Receptor (boFcγRIII) Using Synthetic Peptides
Authors: Wang Ruining , Guo Junqing , Li Ge , Wang Xun , Yang Jifei , Li Qingmei , Zhang Gaiping
Published: January 2024

The bovine IgG1 Fc receptor (boFcγRIII) is a homologue to human FcγRIII (CD16) that binds bovine IgGI with medium–low affinity. In order to identify the Fc-binding site on the bovine IgG1 Fc receptor (boFcγRIII), peptides derived from the second extracellular domain (EC2) of boFcγRIII were synthesized and conjugated with the carrier protein. With a Dot-blot assay, the ability of the peptides to bind bovine IgG1 was determined, and the IgG1-binding peptide was also identified via truncation and mutation. The minimal peptide AQRVVN corresponding to the sequence 98–103 of boFcγRIII bound bovine IgG1 in Dot-blot, suggesting that it represents a linear ligand-binding site located in the putative A–B loop of the boFcγRIII EC2 domain. Mutation analysis of the peptide showed that the residues of Ala98, Gln99, Val101, Val102 and Asn103 within the Fc-binding site are critical for IgG1 binding on boFcγRIII. The functional peptide identified in this paper is of great value to the IgG–Fc interaction study and FcR-targeting drug development.
The Value of Surface Freshwater Supply Services in the Wetlands of Jilin Province, China
Authors: Wang Zecheng , Zhao Xinsheng , Ma Qiongfang , Cui Lijuan , Zuo Xueyan , Lu Yunxi , Cai Yang , Dou Zhiguo , Li Wei
Published: January 2024

Wetlands are ecologically and socioeconomically crucial areas. The application of economic valuation methods could ensure the sustainable utilization of wetlands. Utilizing wetland survey data from Jilin Province, China, representative of the years 2013 and 2017, we assessed the market value of water obtained from wetlands. Simultaneously, we employed the PLUS model to predict changes in wetland areas of different types over the next decade and analyzed their impact on the value of freshwater resource supplies. The results indicate the following points: (1) the area of wetlands decreased from 10,852.84 km2 in 2013 to 10,794.46 km2 in 2017 and that, in 2027, this was projected to further decrease to 10,614.37 km2, with river wetlands experiencing the most substantial decline; (2) the freshwater volumes in 2013 and 2017 were 20.81 × 108 and 20.09 × 108 m3, respectively, representing a 3.58% decrease. The volume for 2027 was projected to further reduce to 19.74 × 108 m3, with lake wetlands contributing the most to water resources and marsh wetlands contributing the least; and (3) the obtained total value of freshwater continuously increased, rising from CNY 8.384 billion in 2013 to CNY 8.642 billion in 2017, and this was projected to further increase to CNY 9.101 billion in 2027. There was regional variation in the value of wetland freshwater resource supplies, with differences in the per unit area and per capita value among administrative units. These findings can facilitate the optimal allocation of freshwater resources in Jilin Province, promoting its sustainable development while ensuring wetland conservation.
Characteristics and Influencing Factors of Dissolved Organic Matter in Cave Drip Water—A Case Study from Furong Cave, Southwest China
Authors: He Yating , Li Junyun , Li Xiuli , Liao Jin , Liang Qisheng , Li Huayan , Duan Rong , Wang Chenyi , Liu Bao , Xue Yanxia , Li Tingyong
Published: January 2024

Understanding the hydrological processes of dissolved organic matter (DOM) in the surface karst zone is crucial for the utilization and safety of groundwater resources. However, research on DOM in drip water from karst caves is limited. In this study, continuous monitoring was conducted for four years at four drip water monitoring sites (MP1, MP2, MP3, and MP9) in Furong Cave, Southwest China. The three-dimensional fluorescence excitation–emission spectroscopy (3D-EEM) and fluorescence region integration (FRI) methods were employed, along with correlation analysis, to investigate the spectral characteristics, composition, sources, and influencing factors of the DOM in the drip water of Furong Cave. The results indicated that (1) the three-dimensional fluorescence peaks in the drip water were classified into six categories: A, B, C, T, Ti, and M. (2) The dominant source of the drip water DOM is endogenous organic matter. (3) The FRI analysis indicates a relatively high proportion of Type II substances in the drip water, predominantly composed of tryptophan-like substances. (4) The DOM in the drip water of Furong Cave was influenced by various factors, including the mixing effect of “new” and “old” water, water residence time in karst systems, and water–rock interactions (WRI), resulting in the complex responses of drip rates and DOM to surface precipitation and temperature at different drip water sites. This study provides a reference for comparative research on DOM in cave drip water in karst regions, which contributes to a better understanding of the migration mechanism of DOM in karst aquifers under different climate and karst ecological conditions.
The Spatial and Temporal Variability of the Blue–Green Spatial Structures of the South Dongting Lake Wetland Areas Amidst Climate Change, including Its Relationship with Meteorological Factors
Authors: Luo Qiao , Li Yong , Cao Xueyou , Jiang Shufang , Yu Hongbing
Published: January 2024

In recent years, the water level of the Dongting Lake (DTL) has been continuously low, and the wetland area and landscape pattern have changed significantly. Considering the obvious spatial heterogeneity of water regime changes in different waters of the DTL, this paper takes two core areas of the South Dongting Lake Nature Reserve (SDLNR) as study areas and analyzes the spatial distribution characteristics of the wetland blue–green landscape patterns by using remote sensing image data and hydrological and meteorological data. The multi-scale correlation between runoff, precipitation, temperature, and evapotranspiration in the SDLNR was studied via cross-wavelet transform analysis. The results show the following: (1) The change in the blue–green spatial patterns in different regions in different periods is inconsistent, and this inconsistency is related to the topography, climate, and human activities in each region; (2) there are seasonal fluctuations in precipitation, air temperature, and evapotranspiration in the SDLNR. Among them, the annual mean temperature shows a rising trend and passes the significance test with 95% confidence, while the annual mean precipitation and annual mean evapotranspiration show no significant change trend; and (3) our Pearson correlation analysis and cross-wavelet change results show that precipitation and temperature are strongly correlated with runoff, with a resonance period of 8–16 months, while the correlation between evapotranspiration and runoff is not significant. We recommend that policymakers establish an effective early warning system and make plans to store water through micro-terrain transformation in possible climate change treatments and strategies.
Effect of Cone-Plate Radius on the Separation Performance of Cyclone Clarifier
Authors: Zhang Yulong , Bai Hongxu , Xiao Linjing , Huang Jingqi , Wang Yu , Yang Zhengwei , Zhang Kuoyue , Du Weiping
Published: January 2024

In order to further reduce the number of particles in the overflow port of a cyclone clarifier, a cone-plate structure with an equiproportionally varying cone-plate radius is proposed. This includes two structures, namely, an equal–proportional gradually shrinking cone-plate radius and an equal–proportional gradually expanding cone-plate radius. In this paper, numerical simulation is used to comparatively study the flow field characteristics and particle separation inside the traditional equal radius, the gradually shrinking radius, and the gradually expanding radius cone-plate cyclone clarifier. The simulation results show that compared with the traditional equal radius cone-plate structure, the gradual shrinking of the cone-plate structure, due to the bottom of the cone-plate radius being small, can better give full play to the cone-plate settling capacity. The gradually expanding cone-plate cyclone clarifier, due to the bottom of the cone-plate radius being large, results in more fine particles entering the overflow pipe and being discharged from the overflow port. Compared with the traditional cone-plate cyclone clarifier, the gradually shrinking cone-plate cyclone clarifier has a significant increase in the removal efficiency of particles of different sizes than the traditional cyclone clarifier overflow port. The removal efficiency of all particles at the overflow of the gradually shrinking cyclone clarifier was increased by 10.32% compared to the conventional cone-plate cyclone clarifier.
Emerging Trends in Autonomous Vehicle Perception: Multimodal Fusion for 3D Object Detection
Authors: Alaba Simegnew Yihunie , Gurbuz Ali C. , Ball John E.
Published: January 2024

The pursuit of autonomous driving relies on developing perception systems capable of making accurate, robust, and rapid decisions to interpret the driving environment effectively. Object detection is crucial for understanding the environment at these systems’ core. While 2D object detection and classification have advanced significantly with the advent of deep learning (DL) in computer vision (CV) applications, they fall short in providing essential depth information, a key element in comprehending driving environments. Consequently, 3D object detection becomes a cornerstone for autonomous driving and robotics, offering precise estimations of object locations and enhancing environmental comprehension. The CV community’s growing interest in 3D object detection is fueled by the evolution of DL models, including Convolutional Neural Networks (CNNs) and Transformer networks. Despite these advancements, challenges such as varying object scales, limited 3D sensor data, and occlusions persist in 3D object detection. To address these challenges, researchers are exploring multimodal techniques that combine information from multiple sensors, such as cameras, radar, and LiDAR, to enhance the performance of perception systems. This survey provides an exhaustive review of multimodal fusion-based 3D object detection methods, focusing on CNN and Transformer-based models. It underscores the necessity of equipping fully autonomous vehicles with diverse sensors to ensure robust and reliable operation. The survey explores the advantages and drawbacks of cameras, LiDAR, and radar sensors. Additionally, it summarizes autonomy datasets and examines the latest advancements in multimodal fusion-based methods. The survey concludes by highlighting the ongoing challenges, open issues, and potential directions for future research.
Dislipidemia y riesgo cardiovascular en pacientes con enfermedad renal crónica
Authors: Roa Yadira , Tenesaca Andrea , Baculima Suárez José
Published: January 2024

Las enfermedades cardiovasculares (Cv), son las causantes de la mayor parte de fallecimientos, como consecuencia de dislipidemia y enfermedad renal crónica (ERC). En Ecuador uno de cada cinco individuos padece de hipertensión arterial, patología que está directamente relacionada con las enfermedades cardiovasculares y la enfermedad renal crónica. Objetivo. Caracterizar el perfil de riesgo cardiovascular en pacientes con enfermedad renal crónica y su asociación con la presencia de dislipidemia, atendidos en el Hospital Homero Castanier de la ciudad de Azogues, durante el periodo de enero a diciembre de 2021. Materiales y Métodos. Se llevó a cabo una investigación de diseño observacional, descriptivo y retrospectivo donde se analizaron 104 historias clínicas de pacientes, correspondientes al periodo comprendido entre enero y diciembre de 2021. Para el cálculo del riesgo cardiovascular se empleó la tabla de predicción del riesgo AMR-D de la Organización Mundial de la Salud/Sociedad Internacional de Hipertensión para el continente americano categoría D. Los datos fueron analizados en el programa SPSS, mediante estadística descriptiva e inferencial. Resultados. De los datos analizados de los 104 pacientes con enfermedad renal crónica el 44,2% presentaron dislipidemia, al mismo tiempo el 74% de los pacientes en estudio manifestaron un riesgo cardiovascular bajo, seguido del 13,5% con riesgo moderado; destacando entre las principales comorbilidades la hipertensión arterial y la diabetes mellitus. Conclusiones. Se caracterizó el riesgo cardiovascular de los pacientes con ERC atendidos en el Hospital Homero Castanier de la ciudad de Azogues en el periodo enero – diciembre 2021, encontrando una baja prevalencia de desarrollar riesgo cardiovascular.
Uso de dispositivos móviles y alteraciones cervicales en estudiantes universitarios
Authors: Leones Zúñiga Danna Belén , Moscoso Fonseca Juan José , Sierra Nieto Víctor Hugo , Villacrés Caicedo Sheyla Elizabeth
Published: January 2024

Las alteraciones cervicales son un problema multifactorial que afecta a la sociedad moderna. Posturas viciosas, traumatismos y defectos congénitos relacionados con la columna cervical pueden desarrollar inestabilidad, pinzamiento radicular, cervicoartrosis y cervicalgias. Objetivo. Relacionar el uso de dispositivos móviles con las alteraciones cervicales en estudiantes universitarios. Materiales y métodos. Estudio descriptivo, observacional, que se realizó entre los meses de mayo y julio del 2023, cuya muestra fue de 172 estudiantes universitarios que se obtuvo aplicando la fórmula para el cálculo muestral de poblaciones conocidas, mediante un muestreo no probabilístico. Se utilizó el test goniométrico para medir el rango articular, el test postural para identificar las alteraciones posturales, la técnica de palpación para identificar dolor inespecífico, prueba de resistencia para los músculos flexores (NFMET) y extensores (NEET), por último, se realizó la prueba de Spurling para identificar casos de radiculopatías. Resultados. Aunque las relaciones estadísticas no fueron consistentes, se observó que quienes utilizaron más tiempo los teléfonos celulares (87,0%) mostraron más limitaciones cervicales que los usuarios menos frecuentes (73,5%). La movilidad articular fue limitada en el 84,3% de la población, especialmente en varones (93,5%); la resistencia muscular normal en extensión fue más prevalente en el caso de los hombres (84,9%), mientras que la resistencia alterada en flexión fue más prevalente en mujeres (94,9%). Conclusiones. Según los resultados obtenidos en esta investigación, no se encontró suficiente evidencia para determinar una relación estadísticamente significativa (P?0,05) entre las alteraciones cervicales y el uso de teléfonos celulares, aunque se observó una mayor limitación en el caso de quienes más tiempo utilizaban el dispositivo móvil.