Recommender systems and the amplification of extremist content by Joe Whittaker, Seán Looney, Alastair Reed, Fabio Votta

“…This is a particularly prescient concern in the context of extremist content online; these algorithms may promote extremist content at the expense of more moderate voices. …”
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Analytical evaluation of the performances of point-of-care and benchtop procalcitonin assays in comparison with the B⋅R⋅A⋅H⋅M⋅S PCT sensitive KRYPTOR assay by Ruiqing He, Xiaobing Sun, Ling Su, Ting Zhu, Jiong Wu, Qi Hou

“…However, not all of these assays are traceable to the B⋅R⋅A⋅H⋅M⋅S PCT standard, which is integral to established PCT clinical algorithms. This study evaluates the suitability of three non-B⋅R⋅A⋅H⋅M⋅S PCT assays for the application of these algorithms.MethodsThe study assessed PCT assays from Wondfo (PCT-W), Getein (PCT-G), and Snibe (PCT-S), comparing them to the B⋅R⋅A⋅H⋅M⋅S PCT sensitive KRYPTOR assay (PCT-KR). …”
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Artificial Intelligence (AI) and the University. How AI Will Change Our Approach to Education by Jacek Grzybowski

“…Observers of technological changes may rightly ask whether AI development and its takeover of various human competences will not inevitably disavow all work based on reading, acquiring knowledge, inferring, discovering, writing and producing scientific or literary works? …”
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Effect of an algorithm for automatic placing of standardised test order sets on low-value appointments and attendance rates at four Spanish teaching hospitals: an interrupted time... by Emilio Calvo, Juan Antonio Álvaro de la Parra, Marta del Olmo Rodríguez, Cristina Caramés Sánchez, Ángel Blanco, Bernadette Pfang, Sagrario Mayoralas-Alises, Jose Fernandez-Ferro, Óscar Gómez Martín, Jesús Fernández Tabera, Carmen Plaza Nohales, Carlota Nieto, Jorge Short Apellaniz

“…We conducted an interrupted time series analysis demonstrating the effect of an algorithm for placing automatic test order sets prior to first specialist appointment on avoidable follow-up appointments and attendance rates.Design Interrupted time series analysis.Setting 4 academic hospitals from Madrid, Spain.Participants Patients referred from primary care attending 10 033 470 outpatient appointments from 16 clinical specialties during a 6-year period (1 January 2018 to 30 June 2023).Intervention An algorithm using natural language processing was launched in May 2021. …”
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A hybrid recommendation system using association rule mining, i-ALS algorithm, and SVD++ approach: A case study of a B2B company by Thamer Saraei, Maha Benali, Jean-Marc Frayret

“…It provides recommendations to active users based on the ratings provided by similar users. However, this method may reduce the accuracy of user preference predictions and lead to lower-quality recommendations in cases of high data sparsity. …”
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Impact of solid oxide FC-RFB and IPFC on a renewable multi-area power system using combined PI and FOPD controllers optimized by the African Vulture algorithm by Arindita Saha, Mahajan Sagar Bhaskar, Mahmoud F. Elmorshedy, Dhafer J. Almakhles, Sanjeevikumar Padmanaban

“…Furthermore, standard optimization techniques may exhibit sluggish convergence and inefficient tuning, limiting their usefulness in real-time applications. …”
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Development and validation of a predictive nomogram for bilateral posterior condylar displacement using cone-beam computed tomography and machine-learning algorithms: a retrospecti... by Huachao Sui, Mo Xiao, Xueqing Jiang, Jiaye Li, Feng Qiao, Bin Yin, Yuanyuan Wang, Ligeng Wu

“…The prognostic nomogram developed and validated in this study may assist clinicians in assessing the risk of bilateral posterior condylar displacement.…”
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Validation of an artificial intelligence-based algorithm for predictive performance and risk stratification of sepsis using real-world data from hospitalised patients: a prospectiv... by Ji-Hyun Kim, Chi-Heum Cho, In-Cheol Kim, Kwang Joon Kim, KyungHyun Lee, Eun Yeong Ha, Sun Hyo Park, Gyeong Im Yu, Byung Eun Ahn, Yeeun Jeong, Joo-Yun Won, Taeyong Sim, Hochan Cho, Ki-Byung Lee

“…Objective The heterogeneous nature of sepsis renders determining its underlying causes difficult, which may delay diagnosis and intervention. VitalCare-SEPsis Score (VC-SEPS) is a deep learning-based algorithm that predicts sepsis and monitors patient conditions based on electronic medical record data. …”
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Development of Automatic Balancing Application forFashion Company Using Artificial Intelligence by May Alrasheed, Mohamed Jmali, Thouraya Hamdi

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Exploiting Data Distribution: A Multi-Ranking Approach by Beata Zielosko, Kamil Jabloński, Anton Dmytrenko

“…It means that data comes from different sources, may be dispersed in terms of location, and may be stored in different structures and formats. …”
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MULTIFACTORIAL ASSESSMENT OF POSTMORTEM LUNG DONOR by M. S. Khubutiya, E. A. Tarabrin, S. V. Golovinsky, M. M. Abakumov, V. L. Vinogradov, M. G. Minina, D. H. Tsurova, N. N. Levitskaya, A. M. Gasanov, S. V. Galayko, M. V. Samsonova

“…During the period from May, 2011 to May, 2012, 37 donors with diagnoses of brain death were surveyed. 5 bilateral lung transplantations were performed only in 2 cases donors have been evaluated as «ideal». …”
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Exploring the usability of the text-based CAPTCHA on tablet computers by Darko Brodić, Alessia Amelio

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Research on switch migration method based on minimum cost path by Yingxu LAI, Yewei PU, Jing LIU

“…In order to protect the controller,especially the controller in backbone network,from security threats and attacks,improve the security of the software-defined network (SDN) control plane,a switch migration algorithm based on minimum cost path was proposed.A load prediction module was added to the migration model,which executed a controller load prediction algorithm to obtain a load prediction matrix,and then a migration-target controller set was determined according to the load prediction matrix.The improved Dijkstra algorithm was used to determine the minimum cost path.According to the load state of the controller and the traffic priority of the switch to be migrated,the optimal migration switch set was determined.The problem of isolated nodes was solved that may occur during the migration process.The experimental results show that the migration timing of the algorithm is more reasonable,the selection of the migration controller and the target controller is more reasonable,the load balancing of the control plane is realized,the number of migrations and cost are reduced,and the performance of the controller is improved.…”
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Scheduling of home energy management systems for price-based demand response and end-users discomfort reduction by Kamyab Gholam-Reza

“…However, this optimization may compromise the comfort of the residents. …”
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Improved gated recurrent unit-based osteosarcoma prediction on histology images: a meta-heuristic-oriented optimization concept by S. Prabakaran, S. Mary Praveena

“…Hence, early diagnosis and individualized care of osteosarcoma are essential since they may lead to more effective therapies and higher survival rates. …”
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Artificial Intelligence and Human Rights by Nesrin Singil

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The Bregman Modified Second APG Method for DC Optimization Problems by Lumiao Wang, Ziye Liu, Chunguang Liu

“…In recent years, numerous algorithms have been developed to solve DC problems, demonstrating strong performance across various applications. …”
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Understanding dosage effects of traditional Chinese medicine using network analysis by Jiawei Wu, Dianjing Guo

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Classification Based on Brain Storm Optimization With Feature Selection by Yu Xue, Yan Zhao, Adam Slowik

“…Recently, some evolutionary algorithms (EAs) such as the fireworks algorithm (FWA) and brain storm optimization (BSO) algorithm have been employed to implement the evolutionary classification model and achieved the desired results. …”
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STsisal: a reference-free deconvolution pipeline for spatial transcriptomics data by Yinghao Fu, Yinghao Fu, Yinghao Fu, Leqi Tian, Weiwei Zhang

“…The main idea of our method is its adaptation of the SISAL algorithm, which expertly disentangles the ratio matrix, facilitating the identification of simplices within the ST data. …”
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