Spiking Neural Networks for Multimodal Neuroimaging: A Comprehensive Review of Current Trends and the NeuCube Brain-Inspired Architecture by Omar Garcia-Palencia, Justin Fernandez, Vickie Shim, Nicola Kirilov Kasabov, Alan Wang, the Alzheimer’s Disease Neuroimaging Initiative

“…SNNs use discrete spikes for event-driven communication, making them energy-efficient and well suited for the real-time processing of dynamic brain data. …”
Get full text

Convolutional neural network-based deep learning for landslide susceptibility mapping in the Bakhtegan watershed by Li Feng, Maosheng Zhang, Yimin Mao, Hao Liu, Chuanbo Yang, Ying Dong, Yaser A. Nanehkaran

“…Abstract Landslides pose a significant threat to infrastructure, ecosystems, and human safety, necessitating accurate and efficient susceptibility assessment methods. Traditional models often struggle to capture the complex spatial dependencies and interactions between geological and environmental factors. …”
Get full text

Integrated transmission expansion planning incorporating fault current limiting devices and thyristor-controlled series compensation using meta-heuristic optimization techniques by Abdulaziz Almalaq, Khalid Alqunun, Rabeh Abbassi, Ziad M. Ali, Mohamed M. Refaat, Shady H. E. Abdel Aleem

“…Abstract Transmission expansion planning (TEP) is a vital process of ensuring power systems' reliable and efficient operation. The optimization of TEP is a complex challenge, necessitating the application of mathematical programming techniques and meta-heuristics. …”
Get full text

68Ga-labeled fluorinated benzamide derivatives for positron emission tomography imaging of melanoma. by Chaewon Lee, Boreum Song, Eunsu Kim, Yejin Seo, Dagyeong Hong, Jiyu Kim, Wookyeong Jeong, Seong-Young Kwon, Dong-Yeon Kim, Ayoung Pyo

“…The advanced stages of melanoma have a very poor prognosis because of the high tendency for metastasis, and there is therefore, a strong desire to develop efficient technology for the early detection of melanoma. …”
Get full text

A Facile Method for Screening DPP IV Inhibitors in Living Cell System Based on Enzyme Activity Probe by Shu-Mei Pan, Chun-Yu Xing, Hong-Wei Li, Rui-Min Wang, Xin-Yue Pu, Tie-Gang Wang, Dan-Dan Wang, Li-Wei Zou

“…Deciphering the relevance of DPP IV to human diseases and screening the inhibitors of DPP IV requires reliable tools, which can sense the function of this key enzyme in complex biological samples. Therefore, we aimed to construct a simple and easy-to-use assay for human DPP IV activity in a living cell system to achieve highly sensitive and selective detection of DPP IV function and further screening for its inhibitors. …”
Get full text

Analysis of health information needs of elderly patients with chronic diseases based on Kano Model: a descriptive cross-sectional study by Ying Tang, Xintong Deng, Chan Chen, Linlin You, Jing Gong, Xing Liu, Jing Zhou

“…By clarifying the satisfaction paths of different types of needs, the study can serve as a valuable guide for optimising service supply and promoting the efficient allocation of health information resources. …”
Get full text

Research on the Instability Mechanism and Control Technology of Gob-Side Entry in Deep Mines with Soft Rock by Lu Ma, Luyi Xing, Chang Liu, Tongyuan Cui, Xi Qiao, Wang Miao, Peng Kong

“…The gob-side entry driving in deep mines with soft rock exhibits a complex deformation and instability mechanism. This complexity leads to challenges in roadway stability control which greatly affects the coal mine production succession and safe and efficient mining. …”
Get full text

A novel interval valued bipolar fuzzy hypersoft topological structures for multi-attribute decision making in the renewable energy sector by Muhammad Imran Harl, Muhammad Saeed, Muhammad Haris Saeed, Muhammad Salman Habib, Seung-June Hwang

“…Also, a novel decision-making algorithm leveraging the presented structure for multi-criteria analysis and complex system modeling is designed. The algorithm is applied to select optimal renewable energy source based on their economic, environmental, and technical aspects. …”
Get full text

What can be lost? Genomic perspective on the lipid metabolism of Mucoromycota by Blanka Sokołowska, Małgorzata Orłowska, Alicja Okrasińska, Sebastian Piłsyk, Julia Pawłowska, Anna Muszewska

“…Some strains have been selected as promising biotechnological organisms due to their ability to produce polyunsaturated fatty acids and efficient conversion of nutrients into lipids. …”
Get full text

Combination of solid-liquid hollow fiber liquid phase microextraction method with electromembrane extraction for extraction of Tolmetin and its determination followed by high perfo... by Samaneh Niazipour, Jahan Bakhsh Raoof, Milad Ghani, Reza Ojani

“…Additionally, the method attained a Blue Applicability Grade Index (BAGI) score of 67.5, confirming its high applicability and resource-efficient design. Conclusion: This approach offers high sensitivity, short extraction time, and excellent selectivity and reproducibility, making it well suited for trace analysis of tolmetin in complex matrices.…”
Get full text

Interpretable prediction model for hand-foot-and-mouth disease incidence based on improved LSTM and XGBoost by Xiao LI, Shuyu HE, Yan PENG, Rongxin YANG, Lu TAO, Tingqi LOU, Wenqi HE

“…By simulating the selection, crossover, and mutation mechanisms in biological evolution, the GA efficiently searches for optimal solutions in the parameter space, thereby optimizing the performance of XGBoost. …”
Get full text

Multi-objective Optimization Design of Component Cooling System in HPR1000 by ZHAO Weiguang1, 2, YU Pei1, 3, ZENG Xiaobo1, 2, FAN Guangming1, 2, YAN Changqi1, 2

“…To enhance the design of the component cooling system (RRI) within the HPR1000 cold chain system and to address issues of low utilization efficiency and poor economic performance under specific design and operational conditions, a mathematical model was developed. …”
Get full text

Formation control method for multiple flight vehicles based on adaptive dynamic programming by Jie XIAO, Qingpu TANG, Jiale LI, Guofei LI

“…Unmanned aerial vehicles (UAVs) are widely used across various fields, including atmospheric research, emergency rescue, and cargo transportation, demonstrating their versatility and efficiency in both civil and military applications. …”
Get full text

Leveraging Large Language Models for Improved Understanding of Communications With Patients With Cancer in a Call Center Setting: Proof-of-Concept Study by Seungbeom Cho, Mangyeong Lee, Jaewook Yu, Junghee Yoon, Jae-Boong Choi, Kyu-Hwan Jung, Juhee Cho

“…However, operational efficiency and standardization of telephone consultations, particularly when categorizing diverse patient inquiries, remain significant challenges. …”
Get full text

Arctic Tectonics and Volcanism: a multi-scale, multi-disciplinary educational approach by K. Senger, K. Senger, G. Shephard, G. Shephard, F. Ammerlaan, F. Ammerlaan, O. Anfinson, P. Audet, B. Coakley, V. Ershova, J. I. Faleide, S.-A. Grundvåg, S.-A. Grundvåg, R. K. Horota, K. Iyer, J. Janocha, J. Janocha, M. Jones, M. Jones, A. Minakov, M. Odlum, A. Sartell, A. Sartell, A. Schaeffer, D. Stockli, M. A. Vander Kloet, M. A. Vander Kloet, C. Gaina

“…The course assessment is centred around an individual research project that is presented orally and in a short and impactful <i>Geology</i> journal-style article. Considering the complex subject and the diversity of students' backgrounds and level of geological knowledge before the course, the student experiences during this course demonstrate that the multi-disciplinary, multi-lecturer field-and-classroom teaching is efficient and increases their motivation to explore Arctic science.…”
Get full text

Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

“…Discussion An autoencoder is a type of artificial neural network used for learning efficient encoding of unlabeled data (unsupervised learning). …”
Get full text

Trajectory Planning of Autonomous Vehicles to Ensure Target QoS Requirements in 6G Mobile Networks by Inam Ullah, Hesham El Sayed, Alexis A. Dowhuszko, Manzoor Ahmed Khan, Jyri Hamalainen

“…More precisely, a graph is constructed in which the nodes are the crossroads and the weight of the edges connecting nodes is proportional to the minimum Spectral Efficiency (SE) across the streets that connect the given intersections. …”
Get full text

Estimating the potential risks of developing clusters in medical industry using various ranking criteria by Y. G. Gertsik

“…Practical significance: the proposed approach to risk assessment and the formation of a controlling system can be used in the practice of clusters in the field of medicine for making managerial decisions and improving the efficiency of interaction between medical companies and medical institutions.…”
Get full text

Screening of Novel Source for Genistein by Rapid and Sensitive UPLC-APCI-TOF Mass Spectrometry by Aparna Bettaiah, Hema Bommanamane Prabhushankar

“…The developed extraction method coupled with high throughput, sensitive, and selective UPLC-APCI-TOF-MS technique facilitates rapid quantification (8 minutes of run time) without primary purification of complex extract.…”
Get full text

The problem of determining the antioxidant additive in transformer oil by chromatographic methods by Duy Hung Nguyen, V. F. Novikov

“…Transformer oil is widely used in high-voltage electrical equipment and acts as a dielectric and also as a cooling medium. It consists of a complex mixture of hydrocarbon compositions with various impurity compounds. …”
Get full text