Multiomics integration analysis identifies tumor cell-derived MIF as a therapeutic target and potentiates anti-PD-1 therapy in osteosarcoma by Yan Liao, Hao Yao, Weidong Chen, Yutong Zou, Ji Fang, Jiongfeng Zhang, Zehao Guo, Jian Tu, Junkai Chen, Zijun Huo, Lili Wen, Xianbiao Xie

“…Patients were then divided into high-risk and low-risk groups with distinct clinical outcomes based on the risk model. The single-sample gene set enrichment analysis, Estimation of Stromal and Immune cells in Malignant Tumor tissues using Expression data (ESTIMATE) algorithm, and xCell algorithms were used to evaluate the immune cell infiltration and activity. …”
Get full text

Comprehensive evaluation of coding region point mutations in microsatellite‐unstable colorectal cancer by Johanna Kondelin, Kari Salokas, Lilli Saarinen, Kristian Ovaska, Heli Rauanheimo, Roosa‐Maria Plaketti, Jiri Hamberg, Xiaonan Liu, Leena Yadav, Alexandra E Gylfe, Tatiana Cajuso, Ulrika A Hänninen, Kimmo Palin, Heikki Ristolainen, Riku Katainen, Eevi Kaasinen, Tomas Tanskanen, Mervi Aavikko, Minna Taipale, Jussi Taipale, Laura Renkonen‐Sinisalo, Anna Lepistö, Selja Koskensalo, Jan Böhm, Jukka‐Pekka Mecklin, Halit Ongen, Emmanouil T Dermitzakis, Outi Kilpivaara, Pia Vahteristo, Mikko Turunen, Sampsa Hautaniemi, Sari Tuupanen, Auli Karhu, Niko Välimäki, Markku Varjosalo, Esa Pitkänen, Lauri A Aaltonen

“…To identify candidate driver genes affected by point mutations in MSI CRC, we ranked genes based on mutation significance while correcting for replication timing and gene expression utilizing an algorithm, MutSigCV. …”
Get full text

The impact of artificial intelligence on accounting practices: an academic perspective by Talal Fawzi Alruwaili, Mahfoudh Hussein Mgammal

“…Implementation success depends on directed education programs and robust regulations and ethical assessment to handle risks such as algorithmic biases, workforce displacement and integrity concerns. …”
Get full text

A Decade of Computational Mass Spectrometry from Reference Spectra to Deep Learning by Michael A. Stravs

“…Computational methods are playing an increasingly important role as a complement to conventional data evaluation methods in analytical chemistry, and particularly mass spectrometry. …”
Get full text

Integrative analysis of multi-omics data identified PLG as key gene related to Anoikis resistance and immune phenotypes in hepatocellular carcinoma by Xueyan Wang, Lei Gao, Haiyuan Li, Yanling Ma, Bofang Wang, Baohong Gu, Xuemei Li, Lin Xiang, Yuping Bai, Chenhui Ma, Hao Chen

“…This study provides novel insights into the molecular subtypes of HCC through the application of robust clustering algorithms based on multi-omics data. The constructed CMLS serves as a valuable tool for early prognostic prediction and for screening potential drug candidates that may enhance the efficacy of immunotherapy, thereby establishing a foundation for personalized treatment strategies in HCC. …”
Get full text

Microwave Sensors and Their Applications in Permittivity Measurement by Changjun Liu, Chongwei Liao, Yujie Peng, Weixin Zhang, Bo Wu, Peixiang Yang

“…With the alternation of metamaterials, microfluidics technologies, cross-technology, algorithms, and so on, sensors play an exceptionally prominent role in practical and low-cost applications.…”
Get full text

Application of Machine Learning Technologies for Managing Multifactor Threats in an Integrated Model of Cognitive Security Center at Defense Industry Enterprise by Pavel Panilov, Tatiana Tsibizova

“…A crucial component of the model is the role of the notification system, playing a key role in operational communication with security personnel and responsible structures upon threat detection. …”
Get full text

Prediksi Kesiapan Sekolah Menggunakan Machine Learning Berbasis Kombinasi Adam dan Nesterov Momentum by Indah Mustika Rahayu, Ahmad Yusuf, Mujib Ridwan

“…Machine learning is a technique that uses algorithms to find useful patterns in data. Based on previous NST data, it can be designed as a school readiness prediction model that will facilitate teachers and parents in knowing the readiness of children to enter elementary school. …”
Get full text

Theoretical Properties of Closed Frequent Itemsets in Frequent Pattern Mining by Huina Zhang, Hui Li, Yumei Li, Guangqiang Teng, Xianbing Cao

“…Closed frequent itemsets (CFIs) play a crucial role in frequent pattern mining by providing a compact and complete representation of all frequent itemsets (FIs). …”
Get full text

Applications of artificial intelligence in neurosurgical education: a scoping review by Hector Julio Piñera-Castro, Christian Borges-García

“…In board examinations, GPT-4 outperformed prior models and junior neurosurgeons in text-based questions but lagged in image-based tasks. …”
Get full text

How do generative artificial intelligence (AI) tools and large language models (LLMs) influence language learners’ critical thinking in EFL education? A systematic review by Jing Liu, Ahmad Johari Bin Sihes, Ye Lu

“…The findings identified generative AI tools and LLMs possessed both the potential to nurture and the risk of hindering CT in EFL education. 66.67% of studies reported generative AI tools and LLMs’ positive role in CT, while 33.33% of studies reported its negative role in CT. …”
Get full text

Unraveling anoikis in glioblastoma: insights from single-cell sequencing and prognostic modeling by Qikai Tang, Chenfeng Ma, Jiaheng Xie, Qixiang Zhang, Bingtao Zhang, Weiqi Bian, Qingyu Lu, Zeyu Wan, Wei Wu

“…Objectives This study aimed to investigate the role of anoikis—a mechanism by which cells evade programmed cell death upon detachment from the extracellular matrix—in GBM progression and prognosis. …”
Get full text

Early prediction of progression-free survival of patients with locally advanced nasopharyngeal carcinoma using multi-parametric MRI radiomics by Lian Jian, Cai Sheng, Huaping Liu, Handong Li, Pingsheng Hu, Zhaodong Ai, Xiaoping Yu, Huai Liu

“…Abstract Purpose Prognostic prediction plays a pivotal role in guiding personalized treatment for patients with locoregionally advanced nasopharyngeal carcinoma (LANPC). …”
Get full text

Simulated meteorological impacts of offshore wind turbines and sensitivity to the amount of added turbulence kinetic energy by D. Quint, D. Quint, J. K. Lundquist, J. K. Lundquist, J. K. Lundquist, J. K. Lundquist, J. K. Lundquist, N. Bodini, D. Rosencrans

“…Because the wake behavior may be a function of boundary layer stability, in this paper, we also present a machine learning algorithm to quantify the area and distance of the wake generated by the wind plant. …”
Get full text

Teenagers on TikTok: Play, Mimesis, and “Digital Authority” by N.K. Radina

“…Kondratiev's ideas about the role of play, authority, and the characteristics of growing up in a mono-structured teenagers group. …”
Get full text

Genital ulcer disease: current challenges and perspectives by L. O. Kovtun

“…Aim. To analyze the role of etiological factors of genital ulcer disease based on data from professional literature and to develop proposals for improving diagnostic algorithms, as well as a syndromic approach to treatment and prevention, in particular, regarding current trends in world medical practice. …”
Get full text

Innovative data techniques for centrifugal pump optimization with machine learning and AI model. by Gaurav Sandeep Dave, Amar Pradeep Pandhare, Atul Prabhakar Kulkarni, Dhananjay Vasant Khankal

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”
Get full text

A Review and Comparative Analysis of Solar Tracking Systems by Reza Sadeghi, Mattia Parenti, Samuele Memme, Marco Fossa, Stefano Morchio

“…The findings underscore the importance of selecting appropriate tracking strategies based on site-specific factors, economic constraints, and climatic conditions, while highlighting the central role of solar tracking technologies in achieving greater solar penetration and supporting global sustainability goals, particularly SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action).…”
Get full text

Radiofrequency Technologies of Local Positioning in Healthcare by D. S. Bragin, I. V. Pospelova, I. V. Cherepanova, V. N. Serebryakova

“…Localization of objects position in closed space plays an important role in many areas of human activity, including medicine. …”
Get full text

Are vision transformers replacing convolutional neural networks in scene interpretation?: A review by N. Arockia Rosy, K. Balasubadra, K. Deepa

“…Cutting-edge computer vision technology plays a key role in enabling communication that allows individuals to understand visual scenes in the same way they do. …”
Get full text