bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nanowatt-level optoelectronic GaN-based heterostructure artificial synaptic device for associative learning and neuromorphic computing
Authors: Zhan Teng , Sun Jianwen , Lin Jin , Zhang Banghong , Liao Guanwan , Liu Zewen , Wang Junxi , Li Jinmin , Yi Xiaoyan 
Published: February 2025

Abstract
In recent years, research focusing on synaptic device based on phototransistors has provided a new method for associative learning and neuromorphic computing. A TiO2/AlGaN/GaN heterostructure-based synaptic phototransistor is fabricated and measured, integrating a TiO2 nanolayer gate and a two-dimensional electron gas (2DEG) channel to mimic the synaptic weight and the synaptic cleft, respectively. The maximum drain to source current is 10 nA, while the device is driven at a reverse bias not exceeding −2.5 V. A excitatory postsynaptic current (EPSC) of 200 nA can be triggered by a 365 nm UVA light spike with the duration of 1 s at light intensity of 1.35 μW∙cm−2. Multiple synaptic neuromorphic functions, including EPSC, short-term/long-term plasticity (STP/LTP) and paried-pulse facilitation (PPF), are effectively mimicked by our GaN-based heterostructure synaptic device. In the typical Pavlov’s dog experiment, we demonstrate that the device can achieve "retraining" process to extend memory time through enhancing the intensity of synaptic weight, which is similar to the working mechanism of human brain.
Reconfigurable organic ambipolar optoelectronic synaptic transistor for information security access
Authors: Ma Xinqi , Zhang Wenbin , Zheng Qi , Niu Wenbiao , Zhao Zherui , Zhou Kui , Zhang Meng , Xue Shuangmei , Guo Liangchao , Yan Yan , Ding Guanglong , Han Suting , Roy Vellaisamy A. L. , Zhou Ye 
Published: February 2025

Abstract
In this data explosion era, ensuring the secure storage, access, and transmission of information is imperative, encompassing all aspects ranging from safeguarding personal devices to formulating national information security strategies. Leveraging the potential offered by dual-type carriers for transportation and employing optical modulation techniques to develop high reconfigurable ambipolar optoelectronic transistors enables effective implementation of information destruction after reading, thereby guaranteeing data security. In this study, a reconfigurable ambipolar optoelectronic synaptic transistor based on poly (3-hexylthiophene) (P3HT) and poly [[N,N-bis(2-octyldodecyl)-napthalene-1,4,5,8-bis(dicarboximide)-2,6-diyl]-alt-5,5′-(2,2′-bithiophene)] (N2200) blend film was fabricated through solution-processed method. The resulting transistor exhibited a relatively large ON/OFF ratio of 103 in both n- and p-type regions, and tunable photoconductivity after light illumination, particularly with green light. The photo-generated carriers could be effectively trapped under the gate bias, indicating its potential application in mimicking synaptic behaviors. Furthermore, the synaptic plasticity, including volatile/non−volatile and excitatory/inhibitory characteristics, could be finely modulated by electrical and optical stimuli. These optoelectronic reconfigurable properties enable the realization of information light assisted burn after reading. This study not only offers valuable insights for the advancement of high-performance ambipolar organic optoelectronic synaptic transistors but also presents innovative ideas for the future information security access systems.
Train delay prediction in Guangzhou-Shenzhen-Hong Kong High-speed Railway with improved CNN-LSTM Model
Authors: Wang Haoyu , Wang Yuqing , Song Ziyi , Shang Hengchen , Zhai Tianyu 
Published: February 2025

Abstract
To address the issue of enhancing the accuracy of delay predictions for high-speed trains, a novel model based on CNN and LSTM architectures has been proposed. This model incorporates the KAN model to supplant the traditional fully connected layer, thereby augmenting the model’s predictive accuracy. The proposed architecture comprises three primary layers: the CNN layer, which is tasked with processing spatial features; the LSTM layer, which serves as the core of the model and is dedicated to the analysis of time series data; and the KAN layer, which replaces the fully connected layer to generate the output results. Additionally, an integrated feature selection algorithm has been developed to identify relevant features, with the selected feature variables subsequently input into the CNN-LSTM-KAN model. Experiments conducted on the Guangzhou-Shenzhen-Hong Kong (GSH) high-speed Railway dataset from early 2020 demonstrate that our CNN-LSTM-KAN model surpasses the performance of XGBoost, SVR, BiLSTM, and CNN-LSTM models, as indicated by the metrics of MAE, RMSE, and R-squared. The model’s prediction accuracy within a three-minute error margin reached as high as 96.11%, which is an improvement of 5.8% compared to the highest accuracy without the KAN layer.
An active distribution grid dynamic partitioning method based on an improved binary PSO algorithm
Authors: Zhang Luyao , Zhang Maosong , Wu Di , Yang Jie , Zhao Hongsheng , Zhang Chunyu 
Published: February 2025

Abstract
With a large amount of renewable energy access, the operation and management of distribution networks face new challenges. In order to improve the operation efficiency and stability of distribution networks, this paper proposes an active distribution network dynamic partitioning method based on the improved binary particle swarm optimization (PSO) algorithm. The method first defines the comprehensive indexes of distribution network partitioning, including the modularity degree based on the comprehensive equivalent electrical distance, and the active-reactive power balance degree. The traditional binary PSO algorithm has been enhanced to address the dynamic partitioning problem in distribution networks. This improvement involves initializing the population using chaotic mapping and implementing adaptive scale selection, which boosts the algorithm’s global search capability and convergence speed. Additionally, a partitioning structure and an update trigger mechanism have been designed to further optimize the process. Simulation results of the IEEE33 node system show that the proposed method can effectively improve the performance of the distribution network.
Reconfiguration of distribution networks considering high penetration of renewable energy: an application of the QPSO algorithm
Authors: Yang Junwen , Ran Fusheng , Xu Bin , Zhong Pengzhuang , Li Fangfang 
Published: February 2025

Abstract
The increasing variety of distributed generation (DG) types introduces significant power fluctuations and uncertainties when integrated into the distribution network. This imposes significant challenges in ensuring the stability and safety of the power system. Flexible configuring the distribution network’s topology can reduce active power losses and improve node voltage levels. However, traditional heuristic algorithms often fall short when addressing the reconfiguration of distribution networks with multiple DG types. In this paper, an enhanced Quantum Particle Swarm Optimization (QPSO) algorithm is proposed for optimizing active power losses and minimizing node voltage deviations in the distribution network. Simulations conducted using the modified IEEE 33-node system as a case study demonstrate that the proposed algorithm effectively reconfigures distribution networks with various DG types. It significantly reduces network losses, enhances node voltage levels, and achieves high computational accuracy.
Research on capacity optimization configuration of distributed photovoltaic energy storage system
Authors: Xu Weijun , Lu Qian , Wang Jing 
Published: February 2025

Abstract
It is necessary to configure the power grid with appropriately sized energy storage equipment to address both economic efficiency and the operation of the regional power grid in a safe and stable manner after large-scale power stations are generated by photovoltaic effect integration. Considering the energy model of energy storage, an optimal configuration method with the lowest annual investment cost of the regional microgrid as the objective function is proposed. In the case conditions, considering the operation investment cost of each device of the microgrid and the optical storage subsidy, the rated capacity and rated power of the energy storage are set to optimize the optimal situation, and the composition of the annual investment cost of the microgrid is analyzed when the two are increased by 40 %. The results indicate that configuring the microgrid with optimal energy storage can significantly reduce power purchase costs and increase the percentage of photovoltaic power generation. However, decreasing the energy storage system’s rated capacity and rated power will lead to higher purchase costs, reduced economic efficiency, and diminished environmental protection benefits.
A Review on Issues and Challenges in Planning Application System Delivery from Selected Literatures
Authors: Ibrahim A K , Aminudin E , Pauzi N N M , Zakaria R , Hamid A R A , Zin R M , Roslan A F , Abdullah W Z W 
Published: February 2025

Abstract
The approval of a Planning Application is a mandatory requirement enforced by Local Authorities before developers can proceed with any proposed project. This approval process is a critical step in ensuring that development proposals align with regulatory standards and community interests. However, obtaining Planning Application approval has emerged as a significant challenge within the construction sector, a concern that has been widely discussed on a global scale. Recent studies highlight growing dissatisfaction and frustration among industry professionals and stakeholders, who express negative feedback towards the inefficiencies and delays in the Planning Application system delivery service. This paper aims to investigate the underlying issues and challenges associated with the Planning Application system, drawing from an extensive review of thirty-five selected literature sources. The research adopts a clustering technique philosophy to systematically categorize the problems identified. By utilizing a benchmarking methodology, the study extracted and analyzed nearly 150 elements that represent the key issues and challenges as discussed by scholars and professionals in the field. The findings of this study reveal a broad spectrum of challenges that are recurrent across different regions and contexts. These challenges have been classified into four primary components: Governance, which includes the regulatory and policy framework governing planning applications; Administration, Organization, and Management, which encompasses the procedural and managerial aspects of the application process; Human Capacity and Skills, highlighting the competencies and expertise of personnel involved; and Technology and Infrastructure, focusing on the technological tools and systems that support the planning application process. In conclusion, the study provides a comprehensive overview of the critical factors that hinder the effective delivery of Planning Application systems, offering insights that could inform future reforms and improvements in the process.
Statistical investigation on the BRI performance in construction communication effectiveness during COVID period in Malaysia
Authors: Mak J H , Tan O K 
Published: February 2025

Abstract
The rise of the COVID-19 pandemic in the 2019 has greatly impacted global construction heavily, which including BRI construction projects in Malaysia. One of the major changes that happened to the construction projects in Malaysia, including the BRI projects, is the communication effectiveness in the construction projects. This research endeavour seeks to explore the correlation between the effectiveness of communication and the performance of BRI construction projects in Malaysia amidst the during the pandemic period. The effective communication methods employed by BRI construction companies during the COVID-19 pandemic period is face-to-face communication (FTF) and video conferencing (VC). These two communication methods are the factors that influence communication effectiveness, and their relationship with BRI project performance in Malaysia was investigated. This research study was designed as a quantitative study. Questionnaires were distributed to BRI related individuals. A total of 68 validated responses were analysed using SPSS. The findings show that independent variable of FTF and VC are statistically insignificant with BRI construction project performance during the COVID-19 period. Thus, communication effectiveness has an insignificant relationship with BRI project performance in Malaysia during the COVID-19 period. This study contributes a comprehensive investigation on the relationship between communication effectiveness and BRI project performance during COVID-19 period, and this will act as a foundation to future study on the communication effectiveness in BRI construction industry.
Smart and Sustainable Construction: Enablers and Inhibitors to Utilising Technologies for Health and Safety Management
Authors: Yap S C , Yap J B H , Lew Y L , Lee W P 
Published: February 2025

Abstract
Construction is one of the most dangerous sectors of the economy. Worldwide, construction workers are three times more likely to be killed and twice as likely to be injured than workers in other occupations. It is therefore imperative to improve construction safety science and management with the use of smart technologies for better safety performance. This paper provides a thorough overview of smart safety technologies in the construction industry. The enablers and inhibitors to utilising technologies for sustainable health and safety management (HSM) are examined using a questionnaire survey involving industry practitioners from G7 contractors in Malaysia. The significance of the enablers and inhibitors are prioritised using mean scores. Employing Spearman’s correlation test, the association between the enablers and inhibitors are established. The findings explained the important inhibitors such as the lack of consistent standards, interoperability issues, and the need for strong managerial support and staff training. To improve the adoption rate of utilising smart technologies for HSM, deliberate steps must be taken to standardise technologies, improve technology literacy, and win over senior management.
Porous fly ash geopolymer for the adsorption of anionic surfactant from aqueous solution
Authors: Rozamanja F S , Saharudin S N S , Siyal A A , Radin-Mohamed R M S 
Published: February 2025

Abstract
This paper describes the development of a porous geopolymer (PGP) to remove sodium dodecyl benzene sulfonate (SDBS) from model wastewater. The characterization results confirmed the synthesis of geopolymer. The surface of the geopolymer was porous and rough. The adsorbent dose- 0.5 g/L, SDBS concentration- 25 mg/L, pH 2, and 60 minutes of contact time were the optimal adsorption conditions. The Freundlich and Langmuir isotherm models best fit the data, showing that the SDBS adsorbed onto porous geopolymer through a combination of mono and multilayers by homogeneous and heterogeneous adsorption active sites on the geopolymer’s surface. A maximum of 200 mg/g adsorption capacity was obtained. This research confirmed that geopolymers can effectively adsorb anionic surfactants SDBS from aqueous solution.
A correlation study of Bio-Index and Water Quality Index in upstream of Forest Eco Park Soga Perdana, Johor, Malaysia.
Authors: Sadesh R S , Ali N A , Mohd-Kamil N A F , Ahmad-Nazri M A , Abu Talib S H , Abustan M S , Saiful-Bahari N A A 
Published: February 2025

Abstract
Monitoring water quality is essential in the recreation sector to ensure the safety of tourists engaging in activities that involve contact with water bodies. According to the Water Quality Index (WQI) established by the Department of Environment (DOE), Class II water is deemed suitable for recreational use involving human contact. However, assessing the WQI typically requires expensive reagents and equipment. This study aims to evaluate water quality using macroinvertebrates as a more economical indicator and to establish a correlation with the WQI. The research was conducted at the Forest Eco Park Soga Perdana, a recreational forest in Batu Pahat, Johor, which is renowned for its water park, forest adventure activities, and popularity as a tourist destination. To assess water quality, we utilized macroinvertebrate data alongside various physical-chemical indicators. The evaluation was performed using the Biological Monitoring Working Party and Average Score Per Taxon (BMWP-ASPT) Index for biological indicators, and the WQI for physical-chemical indicators (pH, DO, COD, BOD, TSS and AN). Three stations were included in the water quality assessments. Station 1 recorded the highest ASPT Index of 7.63, indicating an “almost clean” stream. Stations 2 and 3 followed with ASPT Index values of 7.44 and 6.84, respectively. The physical-chemical analyses revealed that Station 1 achieved the highest WQI value of 87.02, categorizing it as clean water. Stations 2 and 3 also registered WQI values of 86.47 and 85.99, respectively, thus classifying them as clean water, consistent with the same Class II designation as Station 1. This study demonstrated a strong positive correlation between the ASPT Index and the WQI method, with an R-value of 0.9825.
Assessment of flood storm scenarios for Tasik Kemajuan, UTHM using HEC-RAS
Authors: Kasmin H , Mohamad Razi M A , Adnan N A S , Tan L W , Wajil R , Abdul Kadir M A , Mohd Yusoff M A , Rahmat S N 
Published: February 2025

Abstract
Batu Pahat was hit by a significant flood in year of 2023; however, the area within the Universiti Tun Hussein Onn Malaysia (UTHM) was spared, in contrast to what occurred in 2006/2007. Thus, this study aims to examine the current storage of Tasik Kemajuan, one of UTHM’s control structures, and to simulate this pond using several flood scenarios in HEC-RAS software. The study employs the cross-sectional data of Tasik Kemajuan from the previous study. Rainfall intensities under several flood storm scenarios were obtained based on calculation of three approaches i) highest rainfall events occurred of the nearest station; ii) typical return periods recommended by the MSMA Guidelines and iii) assumed peak runoff. By using Surfer Software, Tasik Kemajuan shows its current water volume of 12723.85 m3. Flood simulation shows that the lake has the potential to become flooded when the lake receives rainfall intensity of 96.6 mm/hr with peak flow of 15 m3/s; and above. IDF curve observation shows that rainfall intensity of 96.6 mm/hr has return period of larger than 500-yrs ARI, which is quite impossible to occur at the nearest time. These insights are essential for formulating efficient water resource management strategies, therefore aiding in the sustainable management of Tasik Kemajuan and its surrounding environment.
Technosol’s aggregation patterns according restoration treatments in limestone cement quarry in a semi-arid environment
Authors: Watteau F. , López J. , Soria R. , Bouchard A. , Ortega R. , Miralles I. 
Published: February 2025

Abstract
The creation of Technosols with waste amendments has proved to be a viable option for restoring soils affected by mining activities in arid and semi-arid zones. As an indicator of soil quality, structure is being studied 5 years after the application of restoration treatments in a limestone cement quarry (Almería province, Spain). There, 18 experimental plots (Technosols) of 50 m2 (10 m × 5 m) were installed in 2018, with the aim of applying organic amendments obtained from residues to the sandy-clay substrate of the quarry, namely: i) compost from greenhouse remains; ii) compost from garden pruning remains; iii) stabilized urban sludge; iv) mixtures of plant compost and sludge. Experimental plots without organic amendments were also set up. Each treatment was replicated 3 times and 40 plants of Stipa tenacissima L. were planted in each plot. Structural stability was assessed and used approach is based in particular on Transmission Electronic Microscopy characterization of <20 μm microaggregates sampled according a gradient from root/soil interface to rhizospheric soils further away. Results showed that in these soils, i) there is macroaggregation due to root biomass, thus underlining the positive impact of organic amendments on soil stability due to the increase in root biomass and ii) there is microaggregation, due in particular to the microbial contribution, through their role in the biodegradation of organic matter, which generates aggregating organic matter and through their production of exopolymers. According to the different aggregation patterns between treatments, it appears that a macro/micro-aggregation balance needs to be found in terms of the amendment to be applied, so as to favor biomass without all the microbial activity mineralizing the organic matter present, in order to promote soil stability.
Climate change, water balance and edaphic drought in the southern shore of the Mediterranean: case of the eastern region of Algeria
Authors: Hassina Smaihi Amal , Kalla Mahdi 
Published: February 2025

Abstract
This study addresses the climatic context of the Batna region over a 30 year period, from 1990 to 2019. The methodology relies on several analyses, first the analysis of variations in annual precipitations and temperatures relative to the average. Then, the estimation of the monthly fluctuations in precipitation and temperatures by the method of comparative graphs. The statistical analysis is conducted with Mann-Kendall trend test. Finally, the estimate of the soil drought using the formulas of Thornthwaite. The follow-up of the water balance revealed that the temperature increase, combined with the precipitation deficit, led to soil drought in the Batna region, where the available water capacity fell to 20% for 30 months. In addition, precipitation has considerably decreased in winter.