Predicting Resistance and Survival of HCC Patients Post-HAIC: Based on Shapley Additive exPlanations and Machine Learning by Yao F, Miao J, Quan B, Li J, Tang B, Lu S, Yin X

“…Fan Yao,1,2,* Jianliang Miao,3,* Bing Quan,1,2 Jinghuan Li,1,2 Bei Tang,1,2 Shenxin Lu,1,2 Xin Yin1,2 1Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China; 2National Clinical Research Center for Interventional Medicine, Shanghai, People’s Republic of China; 3First Affiliated Hospital of Dalian Medical University, Dalian Medical University, Dalian, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xin Yin, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, People’s Republic of China, Email yin.xin@zs-hospital.sh.cnPurpose: To establish prediction models using Shapley Additive exPlanations (SHAP) and multiple machine learning (ML) algorithms to identify clinical features influencing hepatic arterial infusion chemotherapy (HAIC) resistance and survival in patients with hepatocellular carcinoma (HCC).Patients and Methods: We recruited 286 patients with unresectable HCC who underwent HAIC. …”
Get full text

Listener Acoustic Personalization Challenge - LAP24: Head-Related Transfer Function Upsampling by Aidan O. T. Hogg, Roberto Barumerli, Rapolas Daugintis, Katarina C. Poole, Fabian Brinkmann, Lorenzo Picinali, Michele Geronazzo

“…The Listener Acoustic Personalisation (LAP) challenge 2024 aimed at advancing research in spatial audio personalisation, with a focus on head-related transfer functions (HRTFs). …”
Get full text

StopSpamX: A multi modal fusion approach for spam detection in social networking by Dasari Siva Krishna, Gorla Srinivas

“…In order to achieve a spam free environment, researchers have proposed numerous methods and algorithms for spam detection. …”
Get full text

Mathematical model of a lightweight three-axle off-road vehicle construction for Arctic zone of Russia by I. E. Agureev, V. N. Bondarenko

“…The work uses numerical methods to solve the equations of the constructed model, which enables to gradually weaken the accepted assumptions and build more general calculation algorithms. The main integration method for ensuring the stability of solutions is the multi-step Adams method, which, with the correct choice of step, ensures the necessary stability of the solution over sufficiently long model times. …”
Get full text

Continuous Speech-Based Fatigue Detection and Transition State Prediction for Air Traffic Controllers by Susmitha Vekkot, Surya Teja Chavali, Charan Tej Kandavalli, Rama Sai Abhishek Podila, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi

“…The ensemble algorithms demonstrated the best performance, achieving a maximum accuracy of 100% on the XGBoost test set. …”
Get full text

Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

“…If a user innocently asks ChatGPT or Gemini to summarize or rephrase their research methodology or scientific discoveries, can their data repositories pose a threat to the integrity and novelty of the research? …”
Get full text

TEMPORALITY OF THE NARRATIVE OF CONTEMPORARY TRAVEL LITERATURE (Based on Cees Nooteboom’s work) by Olena I. Kretova, Pavlo V. Kretov

“…Regarding the work of С. Nooteboom, two main approaches can be distinguished, which we can designate as spatial-semiotic and existential-phenomenological. …”
Get full text

Flow Improvement in Evacuation Planning with Budget Constrained Switching Costs by Ram Chandra Dhungana, Tanka Nath Dhamala

“…Many large-scale natural and human-created disasters have drawn the attention of researchers towards the solutions of evacuation planning problems and their applications. …”
Get full text

Advanced Computer Vision Techniques for Accurate Measurement in Unmanned Mobile Robots by Bharathi V, Natraj N A, Gopinath S, Kiruthikaa R

“…This article provides an overview of digital image processing, highlighting the main concepts and introducing key algorithms. These methods are designed to capture, process, and interpret digital images and enable the extraction of important data from real-world environments. …”
Get full text

Control Tolerante a Fallas Activo: Estimación y acomodación de fallas en sensores aplicado al modelo LPV de una bicicleta sin conductor by J.A. Brizuela-Mendoza, C.M. Astorga-Zaragoza, A. Zavala-Río, F. Canales-Abarca

Get full text

Replace government healthcare with patient-controlled health care by Deane Waldman

Get full text

Deepfake Audio Detection for Urdu Language Using Deep Neural Networks by Omair Ahmad, Muhammad Sohail Khan, Salman Jan, Inayat Khan

“…However, most of these solutions are trained on datasets in English, Portuguese, French, and Spanish, expressing concerns about their correctness for other languages. The main goal of the research presented in this paper is to evaluate the effectiveness of deep learning neural networks in detecting Deepfake audios in the Urdu language. …”
Get full text

Detecting Post-Midnight Plasma Depletions Through Plasma Density and Electric Field Measurements in the Low-Latitude Ionosphere by Giulia D’Angelo, Emanuele Papini, Alessio Pignalberi, Dario Recchiuti, Piero Diego

“…Plasma depletions in the low-latitude ionosphere are irregularities of special interest in space weather research, as they are highly detrimental to the operation of satellite-based communication and navigation systems. …”
Get full text

Distinguish the Value of the Benign Nevus and Melanomas Using Machine Learning: A Meta-Analysis and Systematic Review by Suli Li, Yihang Chu, Ying Wang, Yantong Wang, Shipeng Hu, Xiangye Wu, Xinwei Qi

“…This systematic review included thirty researches with 114007 subjects and 71 machine learning models. …”
Get full text

Impact of ITH on PRAD patients and feasibility analysis of the positive correlation gene MYLK2 applied to PRAD treatment by Chuanyu Ma, Chuanyu Ma, Guandu Li, Xiaohan Song, Xiaochen Qi, Tao Jiang

“…IntroductionProstate adenocarcinoma (PRAD) is an extremely widespread site of urological malignancy and is the second most common male cancer in the world. Currently, research progress in immunotherapy for prostate treatment is slower compared to other tumours, which is mainly considered to be caused by the low rate of immune response in prostate cancer as a cold tumour. …”
Get full text

Prominent events in the development of a simultaneous multidiagnostic system with synthetic peptides by Oscar Noya, Henry Bermúdez, Diana Pachón, Belkisyolé Alarcón de Noya, Diana Ortiz-Princz, Flor Helene Pujol, Sandra Losada

“…Thus, we designed a low-cost method to detect antibodies, the multiple antigen blot assay (MABA), using synthetic peptides as the main source of antigens from endemic tropical diseases. …”
Get full text

Parameter Tuning for Local-Search-Based Matheuristic Methods by Guillermo Cabrera-Guerrero, Carolina Lagos, Carolina Castañeda, Franklin Johnson, Fernando Paredes, Enrique Cabrera

“…Algorithms that aim to solve optimisation problems by combining heuristics and mathematical programming have attracted researchers’ attention. …”
Get full text

General Construction Method and Proof for a Class of Quadratic Chaotic Mappings by Wenxia Xu, Xiangkun Chen, Ziwei Zhou, Guodong Li, Xiaoming Song

“…The importance of chaotic systems as the main pseudo-random cryptographic generator of encryption algorithms in the field of communication secrecy cannot be overstated, but in practical applications, researchers often choose to build upon traditional chaotic maps, such as the logistic map, for study and application. …”
Get full text

Transportation Mode Detection Using Learning Methods and Self-Contained Sensors: Review by Ilhem Gharbi, Fadoua Taia-Alaoui, Hassen Fourati, Nicolas Vuillerme, Zebo Zhou

“…This review paper can help researchers to focus their efforts on the main problems and challenges identified.…”
Get full text

The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT by Krzysztof Wach, Cong Doanh Duong, Joanna Ejdys, Rūta Kazlauskaitė, Pawel Korzynski, Grzegorz Mazurek, Joanna Paliszkiewicz, Ewa Ziemba

“…Next, we grouped the identified threats into clusters to summarize the seven main threats we see. In our opinion they are as follows: (i) no regulation of the AI market and urgent need for regulation, (ii) poor quality, lack of quality control, disinformation, deepfake content, algorithmic bias, (iii) automation-spurred job losses, (iv) personal data violation, social surveillance, and privacy violation, (v) social manipulation, weakening ethics and goodwill, (vi) widening socio-economic inequalities, and (vii) AI technostress. …”
Get full text