Are Selective Serotonin Reuptake Inhibitors a Secondary Cause of Low Bone Density? by Kim Chau, Stephanie A. Atkinson, Valerie H. Taylor

“…Additional longitudinal studies and further research on possible mechanisms surrounding the association between SSRI use on bone metabolism need to be conducted. Treatment algorithms need to recognize this association to ensure that vulnerable populations are screened.…”
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Identifying Safeguards Disabled by Epstein-Barr Virus Infections in Genomes From Patients With Breast Cancer: Chromosomal Bioinformatics Analysis by Bernard Friedenson

“…MethodsPublicly available genome data from approximately 2100 breast cancers and 25 ovarian cancers were compared to cancers with proven associations to EBV, including 70 nasopharyngeal cancers, 90 Burkitt lymphomas, 88 diffuse large B-cell lymphomas, and 34 gastric cancers. Calculation algorithms to make these comparisons were developed. …”
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ChatGPT-4.0 in oral and maxillofacial radiology: prediction of anatomical and pathological conditions from radiographic images by Shila Kahalian, Marieh Rajabzadeh, Melisa Öçbe, Mahmut Sabri Medisoglu

“…Introduction: ChatGPT has the ability to generate human-like text, analyze and understand medical images using natural Language processing (NLP) algorithms. It can generate real-time diagnosis and recognize patterns and learn from previous cases to improve accuracy by combining patient history, symptoms, and image characteristics. …”
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Optimization of Toolpath Planning and CNC Machine Performance in Time-Efficient Machining by Arbnor Pajaziti, Orlat Tafilaj, Afrim Gjelaj, Besart Berisha

“…We propose a method that integrates advanced algorithms to identify and eliminate redundant movements, optimize the toolpaths, and improve the machining strategies. …”
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Climatology of Total Cloudiness in the Arctic: An Intercomparison of Observations and Reanalyses by Alexander Chernokulsky, Igor I. Mokhov

“…The main reason for the discrepancies among observations is the difference in the cloud-detection algorithms, especially when clouds are detected over the ice/snow surface (during the whole year) or over the regions with the presence of strong low-tropospheric temperature inversions (mostly in winter). …”
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Analysis of Acoustic Signals of Footsteps from the Piezoelectric Sensor by Bilge Çiğdem Çiftçi, Gamze Kaya, Mustafa Kurt

“…The source of the acoustic signal can be determined by matching it with the existing database using machine learning algorithms like face recognition systems for future goals.…”
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Prospects of cold plasma in enhancing food phenolics: analyzing nutritional potential and process optimization through RSM and AI techniques by M. Anjaly Shanker, Sandeep Singh Rana

“…It also covers the convention of artificial intelligence-based methods, such as artificial neural networks (ANN) and genetic algorithms (GA), in evaluating the data on process parameters. …”
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Predictors of evacuation behavior: dataset on respondents’ route choice and web interaction by Dajana Snopková, Martin Tancoš, Lukáš Herman, Vojtěch Juřík

“…Abstract Empirical data on human evacuation behavior are invaluable for adjusting and training computational algorithms that simulate evacuation processes, including agent-based modeling. …”
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The implementation of lean and digital management techniques using artificial intelligence in industrial settings by Aleksey Grigorievich Tashkinov

“…Enterprises using the potential of artificial intelligence demonstrate higher efficiency, complete orders ahead of schedule and benefit customers through innovative software and algorithms. This approach allows organizations to effectively manage their activities, providing value to customers and increasing their satisfaction. …”
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Modeling and countermeasures of a social network-based botnet with strong destroy-resistance by Tao YIN, Shi-cong LI, Yu-peng TUO, Yong-zheng ZHANG

“…To defeat botnets and ensure cyberspace security,a novel social network-based botnet with strong destroy-resistance (DR-SNbot),as well as its corresponding countermeasure,was proposed.DR-SNbot constructed command and control servers (C＆C-Servers) based on social network.Each C＆C-Server corresponded to a unique pseudo-random nickname.The botmaster issues commanded by hiding them in diaries using information hiding techniques,and then a novel C＆C channel was established.When different proportions of C＆C-Servers were invalid,DR-SNbot would send out different levels of alarms to inform attackers to construct new C＆C-Servers.Then,DR-SNbot could automatically repair C＆C communication to ensure its strong destroy-resistance.Under the experimental settings,DR-SNbot could resume the C＆C communication in a short period of time to keep 100% of the control rate even if all the current C＆C-Servers were invalid.Finally,a botnet nickname detecting method was proposed based on the difference of lexical features of legal nicknames and pseudo-random nicknames.Experimental results show that the proposed method can effectively (precision:96.88%,recall:93%) detect pseudo-random nicknames generated by social network-based botnets with customized algorithms.…”
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The siliconvalization of work. An argentine experience by Patricia Ventrici, Hernan Palermo

“…Any discussion about digital or algorithmic technologies leads us immediately into the already protracted debate about which stage of capitalism are we in right now. …”
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Using transformer-based models and social media posts for heat stroke detection by Sumiko Anno, Yoshitsugu Kimura, Satoru Sugita

“…This study demonstrates the potential of using Japanese tweets and deep learning algorithms based on transformer networks for event-based surveillance at high spatiotemporal levels to enable early detection of heat stroke risks.…”
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Multiscale deformable registration of noisy medical images by Dana Paquin, Doron Levy, Lei Xing

“…Vese's, ''Amultiscale image representation using hierarchical (BV,L2) decompositions''(Multiscale Modeling and Simulations, 2 (2004): 4, pp. 554-579) is reviewed,and multiscale image registration algorithms are developed based on the mul-tiscale decomposition. …”
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Blood Vessel Segmentation and Classification of Diabetic Retinopathy with Machine Learning-Based Ensemble Model by Cihan Akyel, Bünyamin Ciylan

“…Artificial intelligence algorithms can provide fast and cost-effective solutions for DR diagnosis. …”
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Travel Time Variability and Spatio-Temporal Analysis of Urban Streets Using Global Positioning System: A Review by Zainab Ahmed Alkaissi, Ruba Yousif Hussain

“…Travel time estimation algorithms based on speed data loop detectors induced insignificant differences when the study route was a relatively short and slow transition from free state to congestion state. …”
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Progressive Detection of Uncertainty in Natural Language Processing Using a Labeled Variable Dimension Kalman Filter by Lingaraj K., S. Supreeth, Yerriswamy T., Dayananda P., Rohith S., Shruthi G.

“…Developing systems capable of automatically detecting uncertain terms within a natural language is critical for developing effective text-analysis algorithms. Consequently, several NLP tools have been developed for this purpose. …”
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Artificial Intelligence: An Untapped Opportunity for Equity and Access in STEM Education by Shalece Kohnke, Tiffanie Zaugg

“…Ethical concerns, such as algorithmic bias (e.g., unequal representation in training datasets leading to unfair assessments) and data privacy risks (e.g., potential breaches of sensitive student data), require critical attention to ensure AI systems promote equity rather than exacerbate disparities. …”
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λ-Augmented Tree for Robust Data Collection in Advanced Metering Infrastructure by Joseph Kamto, Lijun Qian, Wei Li, Zhu Han

“…It relies on a loop detection scheme to define the criticality of a SM node and specifically targets cut SM node by selecting backup parent SM to cover its children. Detailed algorithms to create such AMI tree and related theoretical and complexity analysis are provided with insightful simulation results: sufficient redundancy is provided to alleviate data loss at the cost of signaling overhead. …”
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Balancing Technology, Ethics, and Society: A Review of Artificial Intelligence in Embryo Selection by Roberto Aufieri, Francesco Mastrocola

“…The reviewed literature identified further potential ethical concerns associated with this technique, including possible bias in the selection criteria, lack of transparency in black-box algorithms, risks of “machine paternalism” replacing human judgment, privacy issues with sensitive fertility data, equity of access, and challenges in maintaining human-centered care. …”
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A machine learning driven computationally efficient horse shoe shaped antenna design for internet of medical things. by Umhara Rasool Khan, Javaid A Sheikh, Aqib Junaid, Shazia Ashraf, Altaf A Balkhi

“…A detailed comparison of the five regression-based ML algorithms is presented, and it is observed that the ML models help in efficient use of resources while designing an antenna for bio-medical applications.…”
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