Artificial Intelligence (AI) and Drug-Induced and Idiosyncratic Cytopenia: The Role of AI in Prevention, Prediction, and Patient Participation by Emmanuel Andrès, Amir El Hassani Hajjam, Frédéric Maloisel, Maria Belén Alonso-Ortiz, Manuel Méndez-Bailón, Thierry Lavigne, Xavier Jannot, Noel Lorenzo-Villalba

“…With its ability to process vast amounts of clinical, genomic, and pharmacovigilance data, AI can identify patterns and risk factors that may be missed by traditional methods. Machine learning algorithms can refine predictive models, enabling earlier detection and more accurate risk assessments. …”
Get full text

The Reactor Monte Carlo code RMC: The state-of-the-art technologies, advancements, applications, and next by Wang Kan, Liu Zhaoyuan, An Nan, Luo Hao, Jia Conglong, Shen Pengfei, Jiang Shihang, Hu Yingzhe, Gou Yuanhao, Wang Wu, Feng Zhiyuan, Liu Guodong, Zhao Xingyu, Chan Kok Yue, Su Zilin, Tan Zhe Chuan, Liu Guanyang, Li Zeguang, Yu Ganglin, Yu Jiyang, Huang Shanfang

“…Utilizing collaborative and agile development technology, advanced methods and the most cutting-edge algorithms can be tested and implemented in RMC quickly and efficiently. …”
Get full text

Assisting human annotation of marine images with foundation models by Eric C. Orenstein, Eric C. Orenstein, Benjamin Woodward, Lonny Lundsten, Kevin Barnard, Brian Schlining, Kakani Katjia

“…Marine scientists have been leveraging supervised machine learning algorithms to analyze image and video data for nearly two decades. …”
Get full text

Security defense technology of power grid dispatching automation system based on hierarchical protection by ZHU Wen, HU Yaping, NIE Yongquan, JIANG Wei, XIE Hu

“…The power grid dispatching automation system consists of many subsystems, and each subsystem suffers different risk attacks. …”
Get full text

Density-Based Statistical Clustering: Enabling Sidefire Ultrasonic Traffic Sensing in Smart Cities by Volker Lücken, Nils Voss, Julien Schreier, Thomas Baag, Michael Gehring, Matthias Raschen, Christian Lanius, Rainer Leupers, Gerd Ascheid

“…We present a solution using an algorithmic approach that combines statistical standardization with clustering techniques from the field of unsupervised learning. …”
Get full text

An improved deep CNN-based freshwater fish classification with cascaded bio-inspired networks by Asadullah Shaikh, Wahidur Rahman, Kaniz Roksana, Tarequl Islam, Mohammad Motiur Rahman, Hani Alshahrani, Adel Sulaiman, Mana Saleh Al Reshan

“…Environmental concerns and other causes have reduced the country's water resources, threatening many native freshwater fish species. Thus, the younger generation deficiencies recognition of local freshwater fish and struggles to recognize them. …”
Get full text

A novel deep learning model for predicting marine pollution for sustainable ocean management by Michael Onyema Edeh, Surjeet Dalal, Musaed Alhussein, Khursheed Aurangzeb, Bijeta Seth, Kuldeep Kumar

“…The classification was done using two types of machine learning algorithms: two-step clustering and a fully convolutional network (FCN). …”
Get full text

Targeted Interventional Therapies for the Management of Postamputation Pain: A Comprehensive Review by Dunja Savicevic, Jovana Grupkovic, Uros Dabetic, Dejan Aleksandric, Nikola Bogosavljevic, Uros Novakovic, Ljubica Spasic, Slavisa Zagorac

“…Despite advances in pharmacological management, many patients experience inadequate pain relief, underscoring the need for alternative therapeutic strategies. …”
Get full text

Advancements in Cervical Cancer Screening: Enhancing HPV Testing and Triage Strategies for Improved Risk Assessment by Yana Merdzhanova-Gargova, Magdalena Ivanova, Angelina Mollova-Kysebekirova, Anna Mihaylova, Nikoleta Parahuleva-Rogacheva, Ekaterina Uchikova, Mariya Koleva-Ivanova

“…<b>Methods:</b> This study aims to generate detailed statistical data specific to the Bulgarian population, reinforcing the necessity of incorporating updated European methodologies and algorithms for the prophylaxis and prevention of cervical carcinoma. …”
Get full text

Automated Collection Planning for Civilian and Commercial Satellite Imagery, and Definition and Exploitation of the Collection Asset Specification Data Structure by Jeff Secker, Katerina Biron, Dany Dessureault, Pierre Lamontagne, Rodney Rear

“…There are more than 8000 traditional and small/microsatellites in low Earth orbit (LEO) and many of these are civilian and commercial satellites for remote sensing and space-based intelligence, surveillance and reconnaissance (ISR). …”
Get full text

A Systematic Literature Review of Cyber Security Monitoring in Maritime by Risto Vaarandi, Leonidas Tsiopoulos, Gabor Visky, Muaan Ur Rehman, Hayretdin Bahsi

“…In recent years, many cyber incidents have occurred in the maritime sector, targeting the information technology (IT) and operational technology (OT) infrastructure. …”
Get full text

The Impact of Integrating Variable Renewable Energy Sources into Grid-Connected Power Systems: Challenges, Mitigation Strategies, and Prospects by Emmanuel Ejuh Che, Kang Roland Abeng, Chu Donatus Iweh, George J. Tsekouras, Armand Fopah-Lele

“…Although the impact of integrating solar and wind sources into the power system has been studied in the past, the chaos caused by wind and solar energy generation has not yet had broader mitigation solutions notwithstanding their rapid deployment. Many research efforts in using prediction models have developed real-time monitoring of variability and machine learning predictive algorithms in contrast to the conventional methods of studying variability. …”
Get full text

A Full-Fledged, Multi-Agent System Representing the Architecture of Smart Cities by Balancing Energy With Optimal Electricity Forecasting, Integrating Individual Comfort, and Extra... by M. Mahad Malik, Abdullah Altamimi, Syed Ali Abbas Kazmi, Zafar A. Khan, M. Waleed Ansari, Kamran Mujahid, Jiechao Gao

“…Setting up a modern smart city has many problems, such as unstable power generation systems, a lack of integration of demand-side loads, low profits, more pollution, and agents that cannot communicate quickly and smartly. …”
Get full text

Water vapor density field estimation using commercial microwave link attenuation combined with temperature measurements by Itay Bragin, Yoav Rubin, Pinhas Alpert, Jonatan Ostrometzky

“…Accurate water vapor density (WVD) measurement is critical for weather models, health risk management, and industrial management among many other applications. A number of machine-learning based algorithms (e.g. support vector machine) for estimating water vapor density at a reference weather station using the received signal level values measured at a commercial microwave link has been proposed in the past, and also was expanded to include a combination of three commercial microwave links with temperature measurements to achieve a higher estimation accuracy (with respect to the root mean square error at a given location). …”
Get full text

Applying the Block-Based Programming Language ALICE for Developing Programming Competencies in University Students by Mariuxi Vinueza-Morales, Jesennia Cardenas-Cobo, Jessica Cabezas-Quinto, Cristian Vidal-Silva

“…The information society is part of modern life, and algorithmic thinking and programming are relevant to everybody, regardless of educational background. …”
Get full text

DiffusionScore: A Framework for Assessing Institutional Research Impact Through Influence Diffusion by Gambhire Swati Sampatrao, Anisha Khetan, Nithin Nagaraj, Snehanshu Saha, Sudeepa Roy Dey, Archana Mathur

“…The recent ranking systems evaluate the reputation of academic institutions by employing network-based algorithms, like Page Rank which examine the citation network at the institution level. …”
Get full text

Review of Urban Rail Transit Ticket Clearing Methods by WANG Yao, LI Jiming, GAO Shen, LIU Guangjie, XU Zhongquan

“…［Objective］With the rapid development of urban rail transit, many cities have formed rail transit line networks with multiple operating entities, and have integrated around public transportation payment methods such as "one-card" and virtual QR codes to form a larger urban transportation network. …”
Get full text

Ensemble boosting-based soft-computing models for predicting the bond strength between steel and CFRP plate by Irwan Afriadi, Chanachai Thongchom, Divesh Ranjan Kumar, Suraparb Keawsawasvong, Warit Wipulanusat

“…According to the results of rank analysis utilizing many performance criteria, ADABoost overcame the other outcomes, with R2 values for training and testing of 1 and 0.99882, respectively. …”
Get full text

Effective Practices of Macroprudential Stress Testing as a Tool of Increasing the Stability of Russian Financial System in the Context of Macroeconomic Shocks by D. Yu. Desyatnichenko, O. V. Ryabov, O. Yu. Desyatnichenko

“…Based on the results of the study, the authors come to a number of conclusions that the role of the macroeconomic component in the procedures, methods, and algorithms for macroprudential stress testing used in Russia should increase, the degree of involvement and the sphere of responsibility for its results of key institutional units of the public administration system should expand, and macroprudential stress testing itself should not be limited to supervisory stress testing in everyday practice.…”
Get full text

Impact of tertiary lymphoid structure-associated biomarkers on pancreatic cancer via a dual-disease analysis of psoriasis and pancreatic cancer by Hao Yu, Quan Yuan, Liu-Xing Feng, Jia-Huan Xu, Shen-Yuan Zhan, Zhi-min Li, Shuang-Jia Wang

“…Gene expression profiles from public databases were analyzed, and TLS-associated genes were subjected to Cox regression and Kaplan-Meier analyses. Machine learning algorithms identified GBP2 as a risk factor and ZNF814 as a protective factor. …”
Get full text