Feasibility of GPT-3.5 versus Machine Learning for Automated Surgical Decision-Making Determination: A Multicenter Study on Suspected Appendicitis by Sebastian Sanduleanu, Koray Ersahin, Johannes Bremm, Narmin Talibova, Tim Damer, Merve Erdogan, Jonathan Kottlors, Lukas Goertz, Christiane Bruns, David Maintz, Nuran Abdullayev

“…Background: Nonsurgical treatment of uncomplicated appendicitis is a reasonable option in many cases despite the sparsity of robust, easy access, externally validated, and multimodally informed clinical decision support systems (CDSSs). Developed by OpenAI, the Generative Pre-trained Transformer 3.5 model (GPT-3) may provide enhanced decision support for surgeons in less certain appendicitis cases or those posing a higher risk for (relative) operative contra-indications. …”
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Choosing the Best Digital Health Literacy Measure for Research: Mixed Methods Study by Charlotte Brun Thorup, Mika Uitto, Kerryn Butler-Henderson, Sarah Wamala-Andersson, Merja Hoffrén-Mikkola, Diana Schack Thoft, Lisa Korsbakke Emtekær Hæsum, Gabriela Irrazabal, Laura Pruneda González, Katja Valkama

“…The European project “The Improving Digital Empowerment for Active and Healthy Living (IDEAHL)” with the objective to empower European Union citizens to use digital instruments to take a more active role in managing their health and well-being creates the base for this overview ObjectiveThis paper aims to conduct an overview of existing assessment tools for measuring dHL and recommend strategies for choosing relevant assessment tools. MethodsThis study was carried out as a mixed method study initiated by a scoping review (10 scientific databases, 14 databases with grey literature and 14 predefined reports) in addition to three papers published after finalisations the literature search in IDEAHL, followed by a qualitative workshop study and a final analysis combining results. …”
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Exploring ribosome biogenesis in lung adenocarcinoma to advance prognostic methods and immunotherapy strategies by Zipei Song, Yuheng Wang, Miaolin Zhu, Pengpeng Zhang, Zhihua Li, Xin Geng, Xincen Cao, Jianan Zheng, Jianwei Tang, Liang Chen

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Assessment of the Climate Change Vulnerability of the Cities in Turkey by Eda Ustaoglu, Rabia Bovkır, Suleyman Sisman

“…Stakeholder-driven structured methodology that discovers and ranks context-relevant indicators and sets weights for aggregating indicator scores by using the Best-Worst method (BWM) and stepwise weight assessment ratio analysis (SWARA) method are utilised. …”
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Evaluation of optimal waste management in the plating industry based on the Delphi Method and Fuzzy Analytic Hierarchy Process (Case Study: Paitakht Industrial District of Tehran) by Mina Moeeni, Ghasemali Omrani, Nematollah Khorasani, Reza Arjmandi

“…Variation range related to total score based parameters were calculated by the scalographic method, and the significance of the linear relationship between them was analyzed using linear regression in order to determine industrial waste management at three levels, including weak, moderate, and appropriate, presentingthe final pattern. …”
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CRYPTO-RESISTANT METHODS AND RANDOM NUMBER GENERATORS IN INTERNET OF THINGS (IOT) DEVICES by Petro Klimushyn, Tetiana Solianyk, Oleksandr Mozhaiev, Yurii Gnusov, Oleksandr Manzhai, Vitaliy Svitlychny

“…The analysis of technologies and circuit solutions allowed to draw the following conclusions: protection of IoT solutions includes: security of IoT network nodes and their connection to the cloud using secure protocols, ensuring confidentiality, authenticity and integrity of IoT data by cryptographic methods, attack analysis and network cryptographic stability; the initial basis for the protection of IoT solutions is the true randomness of the formed RNG sequences and used in algorithms for cryptographic transformation of information to protect it; feature of IoT devices is their heterogeneity and geographical distribution, limited computing resources and power supply, small size; The most effective (reduce power consumption and increase the generation rate) for use in IoT devices are RNG exclusively on a digital basis, which implements a three-stage process: the initial digital circuit, normalizer and random number flow generator; Autonomous Boolean networks (ABN) allow to create RNG with unique characteristics: the received numbers are really random, high speed – the number can be received in one measure, the minimum power consumption, miniature, high (up to 3 GHz) throughput of Boolean chaos; a promising area of ABN development is the use of optical logic valves for the construction of optical ABN with a bandwidth of up to 14 GHz; the classification of known classes of RNG attacks includes: direct cryptanalytic attacks, attacks based on input data, attacks based on the disclosure of the internal state of RNG, correlation attacks and special attacks; statistical test packages to evaluate RNG sequences have some limitations or shortcomings and do not replace cryptanalysis; Comparison of cryptoaccelerators with cryptographic transformation software shows their significant advantages: for AES block encryption algorithm, speeds increase by 10-20 times in 8/16-bit cryptoaccelerators and 150 times in 32-bit, growth hashing of SHA-256 in 32-bit cryptoaccelerators more than 100 times, and for the NMAS algorithm - up to 500 times. …”
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Adaptive Triangular Linguistic Neutrosophic Cubic Fuzzy Sets for College English Blended Teaching Mode Evaluation Method by Hongxia Cui

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DTL-GNN: Digital Twin Lightweight Method Based on Graph Neural Network by Chengjun Li, Liguo Yao, Yao Lu, Songsong Zhang, Taihua Zhang

“…Finally, experiments were conducted on factory and robotic arm datasets to evaluate the proposed method. The experimental results indicate that the DTL-GNN method can reduce system redundancy while preserving the essential features of virtual entities.…”
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Data-driven scaling methods for soil moisture cosmic ray neutron sensors by R. Baatz, P. Davies, P. Nasta, H. Bogena

“…The new method reduces RMSE by up to 25 %, with differences in soil moisture estimates between traditional and data-driven methods reaching 0.04 <span class="inline-formula">m³ m⁻³</span> and up to 0.12 <span class="inline-formula">m³ m⁻³</span> under certain conditions. …”
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Methods to estimate distribution and range extent of grizzly bears in the Greater Yellowstone Ecosystem by Daniel D. Bjornlie, Daniel J. Thompson, Mark A. Haroldson, Charles C. Schwartz, Kerry A. Gunther, Steven L. Cain, Daniel B. Tyers, Kevin L. Frey, Bryan C. Aber

“…This method was complex and computationally time consuming and excluded observations of unmarked bears. …”
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Modeling of suspended particles concentrations in the urban area using artificial intelligence methods by Džemila Agić, Halid Makić, Miladin Gligorić, Sejfudin Agić

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ANALYZING METHODS OF ASSESSING SOCIAL AND ECONOMIC EFFICIENCY OF SPORTS CENTERS IN RUSSIAN UNIVERSITIES by Petr A. Solovev

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Mathematics Discourse in Secondary Teacher Candidates’ Lessons: A Mixed Methods Analysis by Ashley Schmidt, Christopher R. Rakes, Sarah B. Bush, Robert N. Ronau, Siddhi Soni, Molly Fisher, Lisa Amick, Julian Viera, Farshid Safi

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Detection of antimicrobial resistance via state-of-the-art technologies versus conventional methods by Ayman Elbehiry, Eman Marzouk, Adil Abalkhail, Moustafa H. Abdelsalam, Mohamed E. A. Mostafa, Mazen Alasiri, Mai Ibrahem, Abousree T. Ellethy, Abdulaziz Almuzaini, Sahar N. Aljarallah, Akram Abu-Okail, Naif Marzook, Satam Alhadyan, Husam M. Edrees

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Preferred Taxation Methods for Reducing Automobile Prices Without Decreasing Tax Revenues by Memduh Aslan

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On efficiency of methods and algorithms for solving optimization problems considering objective function specifics by E. N. Ostroukh, Yu. O. Chernyshev, L. N. Evich, P. A. Panasenko

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The predictive Role of Family Life Components on the Attitudes Toward Fertility and Childbearing Decisions of Childless Married Women in the First Three Years after Marriage by Nasim Bahrami, Ghazaleh Abbaszadeh, Saeedeh Yasoubi, Zeinat Sarbani, Mehran Alijanzadeh, Zainab Alimoradi

“…Participates were of 214 married childless women in the period of one to three years after marriage recruited using simple random sampling method. …”
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Research on Locomotive Speed Sensor Fault Diagnosis Method Based on Neural Network by 周桂法, 王坚

“…For fault diagnosis of locomotive speed sensor, a predictor method based on RBF neural network is established, and diagnostic decision method is also proposed. …”
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Analysis Method of Real-World Digital Biomarkers for Clinical Impact in Cancer Patients by Ingrid Oakley-Girvan, Yaya Zhai, Reem Yunis, Raymond Liu, Sharon W. Davis, Ai Kubo, Sara Aghaee, Jennifer M. Blankenship, Kate Lyden, Elad Neeman

“…This article describes three methods to estimate daily steps to address gaps in data from the Apple Watch in cancer patients and uses one of these methods in an analysis of the association between daily step count estimates and clinical events for these patients. …”
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Research on Intelligent Planning Method for Turning Machining Process Based on Knowledge Base by Yante Li, Tingting Zhou

“…First, to address the heterogeneity issues in knowledge aggregation during machining processes, a process knowledge model comprising three sub-models was designed. Using ontological analysis methods with OWL language, inter-model relationships were formally expressed, achieving structured knowledge representation. …”
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