bluuebunny/crossref_metadata_2025 huggingface dataset:
Weather-Adaptive Regenerative Braking Strategy Based on Driving Style Recognition for Intelligent Electric Vehicles
Authors: Ziadia Marwa , Kelouwani Sousso , Amamou Ali , Agbossou Kodjo
Published: February 2025

This paper examines the energy efficiency of smart electric vehicles equipped with regenerative braking systems under challenging weather conditions. While Advanced Driver Assistance Systems (ADAS) are primarily designed to enhance driving safety, they often overlook energy efficiency. This study proposes a Weather-Adaptive Regenerative Braking Strategy (WARBS) system, which leverages onboard sensors and data processing capabilities to enhance the energy efficiency of regenerative braking across diverse weather conditions while minimizing unnecessary alerts. To achieve this, we develop driving style recognition models that integrate road conditions, such as weather and road friction, with different driving styles. Next, we propose an adaptive deceleration plan that aims to maximize the conversion of kinetic energy into electrical energy for the vehicle’s battery under varying weather conditions, considering vehicle dynamics and speed constraints. Given that the potential for energy recovery through regenerative braking is diminished on icy and snowy roads compared to dry ones, our approach introduces a driving context recognition system to facilitate effective speed planning. Both simulation and experimental validation indicate that this approach can significantly enhance overall energy efficiency.
Integrated Design and Experiment of a Micro-Vibration Isolation and Pointing Platform for Large Space Optical Payloads Based on Voice Coil Motors
Authors: Guo Yilin , Zhou Jian , Gao Zehao , Feng Bo , Xu Minglong
Published: February 2025

This paper presents the design of an integrated micro-vibration isolation and pointing platform with a four-leg structure, incorporating pitch and yaw adjustment functions using voice coil motors. The primary objective is to mitigate the impact of spacecraft-generated micro-vibrations on the pointing accuracy and imaging clarity of large space optical payloads while adhering to lightweight requirements. The research methodology encompasses three main phases. Initially, a simplified dynamic model of the integrated platform is established, and dynamic control equations are derived based on the proportional–integral–derivative (PID) control strategy. The effects of centroid deviation and control parameters on the control efficacy are analyzed. Subsequently, a principle prototype of the two-dimensional micro-vibration isolation and pointing platform is designed, detailing the development of the membrane, actuator, legs, and integrated system. Finally, a ground test verification system is implemented under gravity unloading conditions using elastic strings. The experimental results demonstrate the platform’s effective vibration isolation and pointing capabilities, achieving a 23 dB attenuation effect at the fundamental frequency. Furthermore, the PID control algorithm exhibits enhanced isolation performance at low frequencies and facilitates directional tracking of target signals.
HGF-MiLaG: Hierarchical Graph Fusion for Emotion Recognition in Conversation with Mid-Late Gender-Aware Strategy
Authors: Wang Yihan , Hao Rongrong , Li Ziheng , Kuang Xinhe , Dong Jiacheng , Zhang Qi , Qian Fengkui , Fu Changzeng
Published: February 2025

Emotion recognition in conversation (ERC) is an important research direction in the field of human-computer interaction (HCI), which recognizes emotions by analyzing utterance signals to enhance user experience and plays an important role in several domains. However, existing research on ERC mainly focuses on constructing graph networks by directly modeling interactions on multimodal fused features, which cannot adequately capture the complex dialog dependency based on time, speaker, modalities, etc. In addition, existing multi-task learning frameworks for ERC do not systematically investigate how and where gender information is injected into the model to optimize ERC performance. To address the above problems, this paper proposes a Hierarchical Graph Fusion for ERC with Mid-Late Gender-aware Strategy (HGF-MiLaG). HGF-MiLaG uses hierarchical fusion graph to adequately capture intra-modal and inter-modal speaker dependency and temporal dependency. In addition, HGF-MiLaG explores the effect of the location of gender information injections on ERC performance, and ultimately employs a Mid-Late multilevel gender-aware strategy in order to allow the hierarchical graph network to determine the proportion of emotion and gender information in the classifier. Empirical results on two public multimodal datasets(i.e.,IEMOCAP and MELD), demonstrate that HGF-MiLaG outperforms existing methods.
Data Reconstruction Methods in Multi-Feature Fusion CNN Model for Enhanced Human Activity Recognition
Authors: Ko Jae Eun , Kim SeungHui , Sul Jae Ho , Kim Sung Min
Published: February 2025

Background: Human activity recognition (HAR) plays a pivotal role in digital healthcare, enabling applications such as exercise monitoring and elderly care. However, traditional HAR methods relying on accelerometer data often require complex preprocessing steps, including noise reduction and manual feature extraction. Deep learning-based human activity recognition (HAR) using one-dimensional accelerometer data often suffers from noise and limited feature extraction. Transforming time-series signals into two-dimensional representations has shown potential for enhancing feature extraction and reducing noise. However, existing methods relying on single-feature inputs or extensive preprocessing face limitations in robustness and accuracy. Methods: This study proposes a multi-input, two-dimensional CNN architecture using three distinct data reconstruction methods. By fusing features from reconstructed images, the model enhances feature extraction capabilities. This method was validated on a custom HAR dataset without requiring complex preprocessing steps. Results: The proposed method outperformed models using single-reconstruction methods or raw one-dimensional data. Compared to a one-dimensional baseline, it achieved 16.64%, 13.53%, and 16.3% improvements in accuracy, precision, and recall, respectively. We tested across various levels of noise, and the proposed model consistently demonstrated greater robustness than the time-series-based approach. Fusing features from three inputs effectively captured latent patterns and variations in accelerometer data. Conclusions: This study demonstrates that HAR can be effectively improved using a multi-input CNN approach with reconstructed data. This method offers a practical and efficient solution, streamlining feature extraction and enhancing performance, making it suitable for real-world applications.
From Waste to Wealth: A Circular Economy Approach to the Sustainable Recovery of Rare Earth Elements and Battery Metals from Mine Tailings
Authors: Chowdhury Mohammed Omar Sahed , Talan Deniz
Published: February 2025

The increasing global demand for critical minerals, driven by rapid population growth and the widespread adoption of low-carbon technologies, electric vehicles, and clean energy systems, highlights the urgent need for sustainable resource management. Mine tailings, traditionally considered waste, are now being recognized as valuable secondary sources for mineral recovery. This paper compiles a comprehensive review of the four short- and mid-term critical minerals (lithium, cobalt, nickel, and rare earth elements) and provides insights regarding their recovery with a focus on the latest technological advancements. By exploring key innovations in separation processes, the review demonstrates how these technologies are addressing supply chain bottlenecks while simultaneously reducing the environmental footprint of mining operations. The paper also advocates for a holistic approach to mine waste management, integrating mineral recovery with environmental remediation. It emphasizes the dual benefits of recovering valuable resources while purifying contaminated water and mitigating pollution risks. The proposed circular economy model suggests a sustainable blueprint for managing mine tailings, emphasizing resource reuse, waste reduction, and economic viability.
The Influence of Game Intervals on Physical Performance Demands in Elite Futsal: Insights from Congested Periods
Authors: Pereira Augusto , Ribeiro João Nuno , Alcaraz Pedro E. , Carrasco Rubén Herrero , Travassos Bruno , Freitas Tomás T. , Spyrou Konstantinos
Published: February 2025

The aims of this study were to analyze (1) the external match demands during a congested period (CP) (i.e., three games in eight days) and (2) the differences among games with two- or three-day intervals in professional futsal players. Eleven elite male futsal players were monitored during 15 official matches. Wearable accelerometers were used to record player load (PL), accelerations (ACC), decelerations (DEC), and changes of direction (COD) at different intensities (e.g., high, medium, and low) using two approaches (e.g., absolute and relative per minute). A linear mixed model and effect sizes (ESs) were used to analyze differences between matches and days of interval. Considering the external match load during CP, non-significant differences were found for all the variables (p = 0.108–0.995; ES: 0.01–0.40). Comparing the interval days between games, players had significantly higher DECHI (p = 0.030; ES: 0.48), CODTOTAL (p = 0.028; ES: 0.33), CODMED (p = 0.024; ES: 0.40), and CODLOW (p = 0.038; ES: 0.31) following 3 days of interval between the games when compared with 2 days. However, when analyzed relative to effective time, non-significant differences were found. In summary, CPs seem to not affect the match external load, but players performed better in terms of DEC and COD following 3 days of interval when compared to 2 days when analyzed with absolute values.
Digital Sustainability of Heritage: Exploring Indicators Affecting the Effectiveness of Digital Dissemination of Intangible Cultural Heritage Through Qualitative Interviews
Authors: Yan Zi , Lim Chen Kim , Halim Sharina Abdul , Ahmed Minhaz Farid , Tan Kian Lam , Li Lucheng
Published: February 2025

Currently, the digitization of heritage has become a research hotspot, but there remain gaps in evaluating the effectiveness of its digital dissemination. This qualitative study explores the indicators influencing the effectiveness of digital dissemination of intangible cultural heritage (ICH), with a special focus on Shu brocade weaving techniques, which is the national ICH item of China and has a high cultural, economic, and artistic value. Original data for this study was collected through semi-structured interviews with the most representative stakeholders. Based on the grounded theory, interviews were further analyzed through NVivo software 14, and 30 indicators were identified. The results of this study reveal the importance of indicators related to the authenticity and integrity of cultural connotations as well as the transmission of traditional skills, especially through stakeholder participation, in the digital dissemination of ICH. This study emphasizes the significance of improving the effectiveness of digital dissemination for the sustainable development of ICH and the preservation of precious culture for future generations.
Sustaining Multi-Sided Platforms While Creating Value: The Ride-Hailing Experience
Authors: Javed Amna , Javaid Ahson , Kohda Youji
Published: February 2025

Multi-sided platforms (MSPs) can enable multiple user groups to create coordinated value. Like all transformative business models, these platforms emerged to resolve platform-related issues. Among the well-known MSPs, this research has focused on the ride-hailing platform InDrive as a successful case of MSP in Pakistan. Despite the presence of major companies like Uber and Careem, InDrive has gained recognition in a short period and has become the most downloaded ride-hailing application in Pakistan. InDrive focuses on empowering riders and drivers with greater fare-setting autonomy through negotiation; this peer-to-peer pricing model distinguishes it from its counterparts (Uber and Careem). This research examines the strategic features and innovations of InDrive’s business model to create a comprehensive framework for evaluating the effectiveness of strategic management, focusing on generating value by balancing the well-being of all stakeholders, ensuring equity, boosting productivity, and enhancing the impact of network effects. Notably, ride-hailing services (RHSs) are highly dynamic, as the features and offerings of these platforms may evolve. Therefore, balancing the sustainability of MSPs requires ongoing effort and an iterative approach.
Study on Life-Cycle Carbon Emission of Urban Residential Buildings: A Case Study of Xi’an
Authors: Shen Lina , Ma Zilong , Liu Chang
Published: February 2025

According to statistics from the United Nations Environment Program (UNEP), the construction industry accounts for approximately 30% to 40% of global energy consumption and greenhouse gas emissions, making it a major source of carbon emissions. As a critical component of urban construction, residential buildings are characterized by their large scale and significant potential for carbon reduction. Building on this context, this study utilizes diversified geospatial data and applies the life-cycle stage framework for residential buildings alongside the emission factor method to calculate total carbon emissions during the material production, construction, and operation phases. It systematically analyzes the distribution characteristics and spatial evolution trends of life-cycle carbon emissions for urban residential buildings. The findings reveal that 63.06% of the cumulative carbon emissions from residential buildings in Xi’an originate from the operation phase, underscoring the importance of optimizing carbon emissions in this phase as a critical priority for future reductions. Additionally, the spatial distribution of residential building carbon emissions exhibits significant clustering, with an increasingly pronounced expansion pattern. Over time, the direction of expansion has shifted from a northeast–southwest orientation to a northwest–southeast trajectory and continues to extend toward peripheral areas. Economic growth, increased urbanization, and the intensive consumption of specific building materials are identified as significant drivers of residential carbon emissions, while population growth and improvements in material utilization efficiency help mitigate emissions to some extent. This study offers valuable insights to support the green development of China’s construction industry and to advance energy-saving and carbon-reduction strategies.
Symmetric Spaces of Qubits and Gaussian Modes
Authors: Moctezuma Antonio de Jesús Castillo , Lucio José Luis , Sierra-Torres Alan Josué
Published: February 2025

The understanding of the properties of multipartite systems is a long-standing challenge in quantum theory that signals the need for new ideas and alternative frameworks that can shed light on the intricacies of quantum behavior. In this work, we argue that symmetric spaces provide a common language to describe two-qubit and two-mode Gaussian systems. Our approach relies on the use of equivalence classes that are defined by a subgroup of the maximal symmetry group of the system and involves an involution which enables the Cartan decomposition of the group elements. We work out the symmetric spaces of two qubits and two modes to identify classes which include an equal degree of mixing states, product states, and X states, among others. For three qubits and three modes, we point out how the framework can be generalized and report partial results about the physical interpretations of the symmetric spaces.
An Efficient Traceable and Revocable Access Control Scheme for Smart Grids
Authors: Lu Ye , Wang Hao , Jin Xiaomei
Published: February 2025

In smart grids, power monitoring equipment produces large volumes of data that are exchanged between microgrids and the main grid. This data exchange can potentially expose users’ private information, including their living habits and economic status. Therefore, implementing secure and effective data access control mechanisms is crucial. Ciphertext-Policy Attribute-Based Encryption (CP-ABE) is a widely used encryption scheme in distributed systems, offering fine-grained access control. However, in CP-ABE systems, malicious users might leak decryption keys to third parties, creating a significant security threat. Thus, there is an urgent need for tracing mechanisms to identify and track these malicious users. Moreover, tracing and user revocation are complementary processes. Although using a binary tree for user revocation is efficient, it limits the number of users. This paper suggests an access control scheme that combines CP-ABE with blockchain to overcome these limitations, leveraging blockchain’s tamper-resistant features. This scheme enables user revocation, tracing, partial policy hiding, and ciphertext searchability, and it has been proven secure. Simulation results show that our approach reduces time overhead by 24% to 68%, compared to other solutions. While some solutions are similar in efficiency to ours, our approach offers more comprehensive functionality and better meets the security requirements of smart grids.
How Do Individual Cultural Orientations Shape Tourists’ Perceptions of Sustainable Accommodation Value?
Authors: Vilkaite-Vaitone Neringa
Published: February 2025

Delivering superior value in sustainable accommodation is critical for gaining a competitive advantage in the tourism market. However, till now, little is known about how individual cultural orientations impact tourists’ perceived value of sustainable accommodations. This study investigates the role of cultural orientations, based on Hofstede’s dimensions, in shaping perceptions of functional, social, and emotional value among 1402 tourists in Spain and Lithuania. Data were collected using a comprehensive survey and analyzed through descriptive statistics, bivariate correlation, and multiple regression. The findings reveal that cultural dimensions such as collectivism and uncertainty avoidance significantly influence perceptions of sustainable accommodation value. This study is unique in examining all five of Hofstede’s cultural dimensions at an individual level, offering novel insights for cross-cultural tourism research. Practical implications include designing culturally sensitive value propositions to attract diverse tourist segments and contributing to global sustainability initiatives in tourism.
The Influence of Biogeographic Diversity, Climate and Wildlife on the Incidence of Tick-Borne Encephalitis in Croatia
Authors: Bago Josip , Bjedov Linda , Vucelja Marko , Tomljanović Kristijan , Cetinić Balent Nataša , Zember Sanja , Margaletić Josip , Đaković Rode Oktavija
Published: February 2025

Tick-borne encephalitis (TBE) is a common arbovirus infection in Croatia. The aim of the study was to analyse 17 years of data on TBE seroprevalence and acute TBE cases in correlation with winter temperature, precipitation and wildlife abundance to identify possible patterns that may be predictive indicators of TBE incidence. Clinical diagnosis of TBE was confirmed by determining IgM and IgG anti-TBE antibodies. Of the 19,094 analysed patients, 4.2% had acute TBE, significantly more often in older age (p < 0.001) and male gender (p < 0.001). Overall seroprevalence of TBE among the tested population was 5.8% and varied annually from 2.8% to 10.7%. The mean acute TBE incidence rate was 1.1/100,000 population with significant regional differences: 1.7/100,000 in the continental vs. 0.2/100,000 and 0.5/100,000 in the Mediterranean and Alpine regions, respectively. A particularly high incidence of 3.1/100,000 was recorded in northern Croatia. TBE displayed a seasonal pattern, peaking in June and July. Moderate negative correlations were observed between TBE acute cases and winter temperatures from December to February (r = −0.461; p = 0.062), relative rodent abundance (r = −0.414; p = 0.098) and yearly precipitation from one year before (r = −0.401; p = 0.123). The analysis showed that more acute TBE cases are recorded after a warmer winter and a negative correlation between the abundance of forest Apodemus sp. and the number of TBE cases in the same year.
Establishment of a Direct Competitive ELISA for Camel FGF21 Detection
Authors: Yang Yuxuan , Yuan Hong , Jiao Yunjuan , Zhao Shuqin , Fu Yuanfang , Bai Xingwen , Lu Zengjun , Gao Yuan
Published: February 2025

Camels, with the ability to survive under drought and chronic hunger, developed exceptional efficient lipid reserves and energy substance metabolic characteristics. Fibroblast growth factor (FGF) 21 is a hormone that regulates important metabolic pathways and energy homeostasis. However, the absence of a specific detection method for camel FGF21 impacts research on camels’ metabolic regulation. This study established a direct competition ELISA assay for detecting camel FGF21. Camel FGF21 antigen was expressed and purified through prokaryotic expression system. Polyclonal antibody was produced and purified via immunizing guinea pigs and affinity chromatography assay. Biotin-labeled FGF21 was synthesized artificially as the competitive antigen. After the determination of optimal conditions, including the working concentrations of the antibody and antigen, blocking solution, dilution buffer, and the competition reaction time, the standard curve with a typical “S” shape was generated using GraphPad Prism. The regression equation was Y = 0.1111 + (X−0.7894) × (2.162 − 0.1111)/(X−0.7894 + 15.76−0.7894), with the IC50 15.59 ng/mL, the limit of detection (LOD) 0.024 ng/mL, the limit of quantification (LOQ) 1.861 ng/mL, and the linear range IC20~IC80 2.0~119.22 ng/mL. The verification test showed that the recovery rate ranged from 91.34% to 98.9%, and the coefficients of variation for the intra- and inter-plate both were less than 10%, indicating that the ELISA method had high accuracy, good repeatability, and high stability. In addition, this ELISA method had the potential to detect FGF21 secretion levels in other species such as mouse, human, and pig. This study provided a rapid quantitative tool for conducting research on the FGF21 factor in camels.
Initial Genome-Wide Case–Control Study for Genetic Background of Retinal Dysplasia in Czechoslovakian Wolfdog
Authors: Gábor Michal , Candrák Juraj , Miluchová Martina , Zubrický Pavol , Balická Agnieszka , Trbolová Alexandra
Published: February 2025

Retinal dysplasia is a genetically heterogeneous ocular disorder in dogs, characterized by abnormal retinal development, resulting in a range of visual impairments from mild to complete blindness. The objective of this study was to investigate the prevalence and genetic basis of retinal dysplasia in the Czechoslovakian Wolfdog breed. An ophthalmic examination was conducted on a cohort of 117 Czechoslovakian Wolfdogs, which revealed a prevalence of multifocal retinal dysplasia of 5.13%. A genome-wide case–control association study was conducted on a subset of 36 adult dogs to explore the underlying genetic architecture of multifocal retinal dysplasia in this breed. The GWAS identified a suggestive association with a locus on canine chromosome CFA37. The strongest association signal for SNP marker BICF2G630130992 (p = 1.29 × 10−6) was identified in the first intron of the CYP27A1 gene, which encodes a cytochrome P450 enzyme involved in vitamin D metabolism and potentially retinal function. The region of CFA37 contains several other genes that have been previously implicated in ocular development and disease. Further studies utilizing next-generation sequencing and functional analyses are required to validate these findings, identify the causative variants, and fully elucidate the genetic architecture of retinal dysplasia in this breed.
Fluoride in Drinking Water and Tea in the Arusha Region of Tanzania
Authors: Bakar Sophia A. , Whitewood Abigail , Glancey Kathleen , Okular Kara , Bachtlin Alanna , Kahler David M.
Published: February 2025

High fluoride concentrations in drinking water affect millions of people around the world. The World Health Organization recommends a fluoride concentration in drinking water below 1.5 mg/L. Fluoride above this concentration can cause long-term problems known as fluorosis, such as mottled teeth and increased risk of dental caries, or skeletal deformities. Rural communities near Arusha, Tanzania have high fluoride concentrations in their water; although, they typically consume even more tea. While tea has the benefit of disinfection by boiling, the tea leaves also impart additional fluoride; our tests with local water and tea show tea to increase fluoride from 3.2 to 6.4 mg/L. In the region, tea is traditionally prepared with milk. To better determine the total fluoride intake in the area, we measured tea prepared with and without milk. Tea infused with water and mixed with milk had 0.3 mg/L or 15% more fluoride compared to the fluoride from the constituents. Tea infused with water and milk had 0.8 mg/L or 40% less fluoride compared to the fluoride from the constituents. This apparent difference in fluoride is small, but the consistent difference from preparations warrants further investigation including reactions that may have caused less fluoride infusion or unknown interferences. Surveys also indicated that residents do not have water within 30 min of their residents, which places them into the Limited category for drinking water as defined by the Joint Monitoring Program.
Key Challenges and Potential Opportunities in Water Management Crises: The Case of the Rio Turbio Basin in Mexico
Authors: Nava Luzma Fabiola , Perera-Burgos Jorge Adrián
Published: February 2025

This study examines the critical water management crisis facing the Río Turbio Basin (RTB) in Mexico’s Bajío region, Guanajuato. The RTB’s challenges are driven by a convergence of environmental degradation, industrial pollution, groundwater over-extraction, and fragmented governance structures. Intensified by climate change, urban expansion, and rising industrial demands, these issues place the basin’s long-term sustainability at serious risk. Employing a qualitative approach, this research synthesizes insights from expert interviews and stakeholder perspectives, highlighting the social, economic, environmental, and institutional dimensions of the crisis. Key findings point to a lack of collaboration among governmental bodies, industry, and local communities, resulting in escalating water scarcity, economic vulnerability in agriculture, and rising social tensions over resource allocation. The RTB exemplifies broader regional water management issues, where institutional fragmentation and the absence of strategic, basin-specific policies undermine sustainable practices. Without coordinated, multi-sectoral interventions, projections indicate worsening declines in water quality and availability, with potentially irreversible effects on ecosystems and public health. This study underscores the need for integrated water resource management (IWRM) strategies, combining technological, regulatory, and community-driven solutions to address the unique socio-environmental challenges of the Bajío region.
Research on Shallow Water Depth Remote Sensing Based on the Improvement of the Newton–Raphson Optimizer
Authors: Li Yanran , Liu Bei , Chai Xia , Guo Fengcheng , Li Yongze , Fu Dongyang
Published: February 2025

The precise acquisition of water depth data in nearshore shallow waters bears considerable strategic significance for marine environmental monitoring, resource stewardship, navigational infrastructure development, and military security. Conventional bathymetric survey methodologies are constrained by their spatial and temporal limitations, thus failing to satisfy the requirements of large-scale, real-time surveillance. While satellite remote sensing technologies present a novel approach to water depth inversion in shallow waters, attaining high-precision inversion in nearshore areas characterized by elevated levels of suspended sediments and diminished transparency remains a formidable challenge. To tackle this issue, this study introduces an enhanced XGBoost model grounded in the Newton–Raphson optimizer (NRBO–XGBoost) and successfully applies it to water depth inversion investigations in the nearshore shallow waters of the Beibu Gulf. The research amalgamates Sentinel-2B multispectral imagery, nautical chart data, and in situ water depth measurements. By ingeniously integrating the Newton–Raphson optimizer with the XGBoost framework, the study realizes the automatic configuration of model training parameters, markedly elevating inversion accuracy. The findings reveal that the NRBO–XGBoost model attains a coefficient of determination (R2) of 0.85 when compared to nautical chart water depth data, alongside a scatter index (SI) of 21%, substantially surpassing conventional models. Additional validation analyses indicate that the model achieves a coefficient of determination (R2) of 0.86 with field-measured data, a mean absolute error (MAE) of 1.60 m, a root mean square error (RMSE) of 2.13 m, and a scatter index (SI) of 13%. Moreover, the model exhibits exceptional performance in extended applications within the waters of Zhanjiang Port (R2 = 0.90), unequivocally affirming its dependability and practicality in intricate nearshore water environments. This study not only provides a fresh solution for remotely sensing water depth in complex nearshore water settings but also imparts valuable technical insights into the associated underwater surveys and marine resource exploitation.
Monitoring Pilot Study of Temporary Permeable Structures for Mangrove Restoration
Authors: Gijón Mancheño Alejandra , Maulana Bagus , Reniers Ad J. H. M. , Tas Silke A. J. , Wilms Tom , Rejeki Sri , Ariyati Restiana W. , Widowati Lestari L.
Published: February 2025

Temporary permeable structures of bamboo and brushwood have been implemented for mangrove restoration along retreating coastlines worldwide. However, deriving lessons from previous studies is inhibited by their lack of morphodynamic context, with missing bathymetric data or control comparisons. In this paper, we present a low-tech, low-cost, data collection methodology to support morphodynamic system understanding and modeling of mangrove coastlines. This method was applied to monitor a mangrove restoration project featuring temporary permeable structures of bamboo and PVC, installed in late 2021 on the subsiding muddy coast of Demak, Indonesia. Seabed level changes were regularly tracked with bathymetric surveys and monitoring poles across structures and at a nearby control site. Structures were positioned landward of a chenier, at −0.7 m to −0.9 m relative to mean sea level (MSL), and 30–70 m seaward of the mangrove fringe. Measurements from August 2021 to December 2022 revealed seabed erosion (−0.33 m to −0.4 m) seaward of the structures, with mixed responses landward: two sections eroded (−0.04 m to −0.05 m), one remained stable, and a creek-adjacent section eroded by −0.43 m. At the nearby control site, chenier migration and vertical growth promoted landward accretion, though elevations remained below MSL and thus unsuitable for mangrove colonization. The bathymetric and monitoring pole measurements presented in this study constitute valuable datasets for modeling studies aiming to unravel the dominant processes driving morphodynamic changes. Such models could also inform integrated approaches to mangrove restoration in subsiding coastlines, considering sediment supply, subsidence management, and structure integrity.
Different Denitrification Capacity in Phragmites australis and Typha latifolia Sediments: Does the Availability of Surface Area for Biofilm Colonization Matter?
Authors: Soana Elisa , Vincenzi Fabio , Gavioli Anna , Castaldelli Giuseppe
Published: February 2025

Denitrification is a permanent nitrogen removal pathway; thus, it is a desirable ecosystem function in water bodies receiving agricultural runoff. Knowledge of denitrification capacity in response to vegetation type and varying NO3− loads is essential for designing effectively constructed wetlands to control eutrophication. The aim of this study was to compare the nitrogen removal efficiency of two common wetland macrophytes, i.e., Phragmites australis and Typha latifolia in a NO3− enrichment experiment (50−800 µM). Measurements of NO3− consumption, and N2 production were performed in vegetated and unvegetated mesocosms incubated in summer (26 °C) at biomass peak. Vegetated sediments demonstrated higher efficiency in converting NO3− to N2 via denitrification (<600–18,000 µmol N m−2 h−1) than bare sediments (300–3300 µmol N m−2 h−1). However, the denitrification stimulation effect from NO3− pulsing differed significantly between plant types. It can be hypothesized that P. australis played a more beneficial role than T. latifolia due to its greater submerged surface area, which facilitated enhanced opportunities for contact between NO3− and denitrifying bacteria. This ultimately resulted in an increased treatment performance. Understanding the interactions between plants and environmental drivers regulating denitrification is critical information for optimal wetland species selection. With an increasing global focus on sustainable water quality management, this research provides valuable insights into optimizing nature-based solutions.
Power Flow and Voltage Control Strategies in Hybrid AC/DC Microgrids for EV Charging and Renewable Integration
Authors: Ali Zaid H. , Raisz David
Published: February 2025

This study outlines the creation and lab verification of a low-voltage direct current (LVDC) back-to-back (B2B) converter intended as a versatile connection point for low-voltage users. The converter configuration features dual inverters that regulate the power distribution to AC loads and grid connections through a shared DC circuit. This arrangement enables the integration of various DC generation sources, such as photovoltaic systems, as well as DC consumers, like electric vehicle chargers, supported by DC/DC converters. Significant advancements include sensorless current estimation for grid-forming inverters, which removes the necessity for conventional current sensors by employing mathematical models and established system parameters. The experimental findings validate the system’s effectiveness in grid-connected and isolated microgrid modes, demonstrating its ability to sustain energy quality and system stability under different conditions. Our results highlight the considerable potential of integrating grid-forming functionalities in inverters to improve microgrid operations.
Wi-Fi-Based Information Flow Topology for Effective Vehicle Platooning: Experimental Analysis and Implementation
Authors: Sandesh R. S. , Mohanty Preeti , Venkata Santhosh Krishnan
Published: February 2025

Vehicle platooning leverages advanced communication and coordination among vehicles to increase traffic efficiency and safety and reduce environmental impact. This study addresses crucial research gaps in vehicle platooning by focusing on communication media, controller selection, and applicability across diverse vehicle types. The research centers on utilizing Wi-Fi for uni- and bidirectional information flow topology, employing a reconfigurable input/output controller and a customized electric car and two-wheeler, within a software environment. The investigation begins with simulations involving reconfigurable input/output controllers placed at varying distances (5 m, 10 m, and 15 m) to estimate the average latency. This controller was subsequently integrated into the electric car and two-wheeler, evaluating latencies at similar distances. Notably, the average simulation latencies at 5 m, 10 m, and 15 m are 0.2052 s, 0.643 s, and 0.735 s, respectively. The field test averages at the same distances are 0.233 s, 0.673 s, and 0.783 s, indicating remarkable proximity and minimal error between the two datasets and thereby demonstrating practical suitability. The findings suggest that a distance of 10 m between vehicles is better for vehicle platooning applications on the basis of the observed latency patterns. This study contributes valuable insights into implementing Wi-Fi-based information flow topology for enhancing vehicle platooning performance and viability in real-world scenarios.
Promoting Food Security and Biodiversity Restoration: Insights from Kenyan Youth Climate Change Activists
Authors: Wanjala Emmanuel Simiyu
Published: February 2025

This article centers the experiences and voices of eight Kenyan youth climate change activists by highlighting how they navigate local and global challenges while engaging in climate change action. Specifically, this article examines how the activists are combating food insecurity and promoting biodiversity restoration by discussing findings from two projects. The first project is the Ondiri Wetland Botanical Garden, where youth activists have planted over 10,000 indigenous trees, of which about 58 are different species of trees native to the Kenyan highland community of Kikuyu, to counter biodiversity loss and alleviate the impact of climate change on flora and fauna. The second project is the One Million Trees for Kilifi project, where activists are planting orchards in various schools in Kilifi County in Kenya to mitigate the impact of climate change and end malnutrition among K-12 learners. Guided by the Youth Participatory Action Research (YPAR) methodology, this study counters the deficit and exclusionary narrative that has often left out young people from climate change education and governance policy decision-making and advocates a more equitable and inclusive approach that centers their voices and perspectives in solving existential problems like climate change.
DETERMINAN PERILAKU PENGELOLAAN FOOD WASTE TENANT DI KANTIN UNIVERSITAS: PENDEKATAN THEORY OF PLANNED BEHAVIOR
Authors: Safitri Dewi , Martha Evi , Fitriana Delta , Susila Lia Rahmawati , Widya Shinta Restyana , Zainita Ulfi Hida
Published: February 2025

Food waste adalah limbah makanan yang dihasilkan pada tahap distribusi dan konsumsi yang  berdampak signifikan terhadap lingkungan, ekonomi, dan sosial. Di Indonesia, masalah ini sangat mengkhawatirkan, dengan 23-48 juta ton food waste dihasilkan per tahun. Salah satu studi di China menyatakan bahwa kantin Univeristas merupakan salah satu tempat penghasil food waste terbesar. Universitas memiliki peran penting dalam mengelola lingkungan yang berkelanjutan, termasuk pengelolaan food waste yang baik. Penelitian ini bertujuan untuk mengetahui faktor yang memengaruhi perilaku pengelolaan food waste oleh tenant kantin dengan menggunakan Theory of Planned Behavior (TPB). Metode yang digunakan dalam penelitian ini adalah metode kualitatif dengan desain studi kasus. Informan utama berjumalah 10 orang yang merupakan tenant kantin di universitas yang telah berjualan minimal 6 bulan. Informan penelitian dipilih secara purposive dengan mempertimbangkan prinsip kecukupan dan kesesuaian. Cara pengumpulan data melalui Focus Group Discussion (FGD). Hasil penelitian menunjukkan bahwa sikap, norma subjektif, dan perceived behavioral control memengaruhi perilaku tenant dalam mengelola food waste. Sikap tenant terhadap food waste bervariasi, sementara norma subjektif mengindikasikan adanya dukungan komunitas dalam pengelolaan makanan yang tidak terjual. Secara umum tenant juga mampu merencanakan dan mengevaluasi menu makanan yang dijual. Studi ini menyarankan pentingnya edukasi tenant mengenai isu food waste dan kebijakan universitas yang terintegrasi untuk mendorong pengelolaan food waste yang lebih baik
Bibliometric Analysis of the Role of Strategic Management in Food Sustainability Towards SDG2: Insights of Free Lunch Program
Authors: Goh Thomas Sumarsan , Suteja Jaja , Erika Erika , Simanjuntak Arthur , Karsa Aldo Hermaya Aditiya Nur , Angel Mary
Published: February 2025

Achieving Sustainable Development Goal 2 (SDG 2), which focuses on ending hunger, requires innovative approaches in strategic management and food sustainability. This study investigates the intersection between these fields from 2016 to 2024. The primary objective is to analyze trends and contributions in the area of strategic management applied to food sustainability, particularly focusing on SDG 2, and to understand how business strategies and government policies can contribute to food security and hunger reduction. A bibliometric analysis was conducted using Scopus and VOSviewer to examine bibliometric relationships between countries, authors, organizations, journals, documents, and emerging keywords related to strategic management and food sustainability. The study specifically looks at the growth of research and the relationship between key concepts. The analysis revealed a significant increase in research activity, with the volume of publications more than tripling from 2016 to 2023. Key countries contributing to this growth include India, Spain, and Bangladesh, with Dar es Salaam University emerging as a leader in food sustainability research in Africa. VOSviewer highlighted the rising importance of Artificial Intelligence and blockchain technologies in optimizing food security through supply chain management. The findings underscore the critical role of government policies and corporate responsibility in achieving SDG 2 and reducing hunger. Successful implementation of sustainable practices in corporate strategies requires strong collaboration between companies, government agencies, and other stakeholders.
Redefiniendo el rol de la empresa: generando “conciencia verde” por iniciativa del consumidor diligente
Authors: Quezada Castro Guillermo Alexander , Castro Arellano María del Pilar , Oliva Núñez Juan Manuel , Gallo Aguila Carlos Ignacio , Quezada Castro María del Pilar
Published: February 2025

El presente trabajo analiza el rol del ciudadano al convertirse en consumidor, proceso en el cual aparentemente aprende solo e influenciado por el Marketing y la tecnología que lo inducen hacia al consumismo con la finalidad de adquirir bienes o servicios destinados a satisfacer sus necesidades. En este contexto, es importante reconocer que la decisión o criterio del consumidor deberá adecuarse al interés colectivo, lo cual representa la prioridad en la sostenibilidad de los recursos y la conservación del ambiente que le rodea, situación que se clarifica en el desenvolvimiento de actividades, las cuales son esenciales y prioritarias para garantizar un espacio sano y equilibrado en una sociedad. Por tal motivo, para lograr lo descrito, se requiere la innovación empresarial, la misma que se caracteriza por la redefinición del concepto tradicional de empresa, transformándola en una “empresa verde” que debe respetar las normas ambientales y que tiene una sólida responsabilidad social del crecimiento local de la población. Se concluye que el trinomio empresa – conciencia verde – responsabilidad social se conjugan para la consolidación del consumidor diligente, caracterizado por el “consumo socialmente responsable” que involucra la participación activa e informada de los ciudadanos en general, iniciativa que deberá fortalecer la conducta a nivel individual para así contribuir a la protección de la actual y futura generación en su búsqueda por la satisfacción de necesidades.
Inserción económica en la cuenca del pacífico a través de Buenaventura: ventana de oportunidad para la paz en Colombia
Authors: Moreno López William
Published: February 2025

La inserción de Colombia en Asia Pacífico, a través del puerto de Buenaventura, constituye una oportunidad para el mejoramiento de sus condiciones socioeconómicas que podría hacerse extensiva al desarrollo económico nacional. Entre 2010 – 2016, Colombia firmó, particularmente con China, varios acuerdos de cooperación, en la perspectiva de apoyo e inversión para la implementación del Acuerdo de Paz que el gobierno adelantó con la insurgencia, en cuyo marco se establecieron puntos para favorecer el desarrollo de Buenaventura. Como objetivo, este trabajo busca establecer los potenciales beneficios que, en desarrollo de la implementación de aquellos Acuerdos, se puedan obtener de la inserción comercial del puerto de Buenaventura en la Cuenca del Pacífico. Se trata de una investigación centrada en la revisión bibliográfica y el análisis de indicadores socioeconómicos, cuya metodología recurre a la consulta bibliográfica, revisión y análisis de datos estadísticos, índices y tasas obtenidos del Banco Mundial, CEPAL y DANE. Los resultados, ofrecen una clara visión de la problemática social, económica e institucional de Buenaventura, que contrasta con su gigantesca actividad comercial y su estratégica ubicación en el Pacífico; así también, se presenta el gran crecimiento de los países asiáticos en un análisis que permite concluir que, la inserción de Colombia a través del puerto representa una oportunidad única para el desarrollo de todo el país.
La gestión del talento humano en las instituciones prestadoras de Salud - IPS
Authors: Rueda Mahecha Yohanna Milena , Silva Giraldo Cesar Augusto , Suarez Suarez David Andrés
Published: February 2025

En la actualidad la alta rotación es un factor que afecta de manera negativa a las organizaciones, debido al aumento de los gastos y costos directos e indirectos que se generan. El estudio se desarrolló por medio de una investigación de tipo descriptiva en dos instituciones de salud ubicadas en el departamento de Santander, buscando determinar cuáles son los factores internos y externos que ocasionan la alta rotación del personal de salud en las IPS de Santander, llegando a generar estrategias que permitan contribuir a la disminución del índice de alta rotación y mejorar la gestión del talento humano desde los aspectos de clima laboral, bienestar de los trabajadores y productividad de este tipo de instituciones.
The Influence of Experiential Marketing and Social Media Marketing on Repurchase Intention Mediated by Brand Trust Variables in the OVO Application in Pekanbaru City
Authors: Sumira Cici , Nofirda Fitri Ayu , Fikri Khusnul
Published: February 2025

This research aims to determine and analyze the influence of experiential marketing and social media marketing on repurchase intention which is mediated by brand trust variables in Pekanbaru City. This research is quantitative research with research sampling using the purposive sampling method.  The sample used was 130 OVO users using the SEM-PLS method. The results of this research were that the Experiential Marketing variable had a positive and significant effect on Repurchase Intention on the OVO application in Pekanbaru City, Social Media Marketing had a positive but not significant effect on Repurchase Intention. Meanwhile, the mediation regression test concluded that Experiential Marketing towards Repurchase Intention which was mediated by Brand Trust mediates, in the Social Media Marketing test towards Repurchase Intention which was mediated by the Brand Trust variable in the OVO application in Pekanbaru City.