Temporal scalability analysis of spectral remote sensing and Machine Learning-Based models for forest mapping in the tropical region of Nigeria by K. Pawłuszek-Filipiak, D. Włodarczyk, K. Stuchły, F.E. Ikuemonisan

“…Three strategies were evaluated: the first involved training RS-ML model on spectral vegetation indices generated based on datasets from single date and applying it to datasets captured in different dates; the second entailed training distinct models for each datasets captured in certain time period and the third one utilized datasets from various dates (multi-temporal) to land cover mapping. …”
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Risk Factors for Gout in Taiwan Biobank: A Machine Learning Approach by Liu YR, Nfor ON, Zhong JH, Lin CY, Liaw YP

“…Road, Taichung, 40201, Taiwan, Tel +886-4-36097501, Email Liawyp@csmu.edu.tw Chun-Yuan Lin, Department of Computer Science and Information Engineering, Asia University, No. 500, Lioufeng Road, Wufeng, Taichung, 413, Taiwan, Tel +886-4-2332-3456 # 1814, Email cyulin@asia.edu.twPurpose: We assessed the risk of gout in the Taiwan Biobank population by applying various machine learning algorithms. The study aimed to identify crucial risk factors and evaluate the performance of different models in gout prediction.Patients and Methods: This study analyzed data from 88,210 individuals in the Taiwan Biobank, identifying 19,338 cases of gout and 68,872 controls. …”
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Systematic Approach to Processing and Analysis Diagnostic Indicators of Electrocardiograms Based on Labview by M. T. Magrupova, Yo. T. Talatov

“…An analysis of the results demonstrates that systematic approaches to evaluating ECG signals allow to avoid one-way decisions and to integrate different methods into an integrated system of ideas of the state. …”
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Comparison of the efficacy and safety of various anti-inflammatory drugs in urate-lowering therapy initiation in patients with gout (preliminary data) by M. N. Chikina, M. S. Eliseev, O. V. Zhelyabina

“…After 3 months of observation, the intensity of pain according to the VAS during the development of a gout attack was less for NSAIDs therapy than for colchicine and GC (p< 0.05 in both cases), and after 6 months there was no difference between NSAIDs, colchicine and GC. Within first 3 months, there was no difference in the duration of arthritis attacks among anti-inflammatory drugs, whereas after 6 months duration of attacks was the smallest for NSAID therapy (p< 0.05). …”
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PD-L1 expression predicts the efficacy of PD-1 blockade plus chemotherapy versus chemotherapy alone in treatment-naïve advanced or metastatic gastric cancer: a pooled analysis of r... by Wei Zhou, Zeng-Zhi Cai, Zhuolin Fan, Xu Zheng, Yu-Tong Chen

“…Individual patient-level data (IPD) for overall survival (OS) and progression-free survival (PFS) were reconstructed. The KMSubtraction algorithm was employed to derive IPD for the PD-L1-low subgroup. …”
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Cladistics with geometric morphometric data: The variability of the calvarium in the genus Homo by Margaux Simon-Maciejewski, Giorgio Manzi, Valéry Zeitoun, Aurélien Mounier

“…This study tests two different protocols to analyse 23 operational taxonomic units (OTUs) representing the genera Pongo, Gorilla, Pan, Australopithecus and Homo, in order to evaluate the phylogenetic information derived from geometric morphometric data. …”
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Ecological niche models as a tool for estimating the distribution of plant communities by Mayra Flores-Tolentino, Enrique Ortiz, José Luis Villaseñor

“…It is important to adapt the available information and knowledge about the object of study, to properly integrate them into the different algorithms that allow us to obtain an approximation of what happens with the species or communities. …”
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PhagoSight: an open-source MATLAB® package for the analysis of fluorescent neutrophil and macrophage migration in a zebrafish model. by Katherine M Henry, Luke Pase, Carlos Fernando Ramos-Lopez, Graham J Lieschke, Stephen A Renshaw, Constantino Carlos Reyes-Aldasoro

“…Neutrophil migration in zebrafish larvae is increasingly used as a model to study the response of these leukocytes to different determinants of the cellular inflammatory response. …”
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Comparative Assessment of Neural Radiance Fields and 3D Gaussian Splatting for Point Cloud Generation from UAV Imagery by Muhammed Enes Atik

“…In this study, the effects of image size and iteration number on the performance of the algorithms were investigated in two different study areas. …”
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Is the concept of mammalian epigenetic clocks universal and applicable to invertebrates? by Ryszard Maleszka

“…We emphasise the substantial biological differences between invertebrates and mammals, all of which must be considered when evaluating the universality of epigenetic clocks. …”
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Quantum circuit unoptimization by Yusei Mori, Hideaki Hakoshima, Kyohei Sudo, Toshio Mori, Kosuke Mitarai, Keisuke Fujii

“…In this paper, we define and construct a quantum algorithmic primitive called quantum circuit unoptimization, which makes a given quantum circuit complex by introducing some redundancies while preserving circuit equivalence, i.e., the inverse operation of circuit optimization. …”
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Detection of Autism Spectrum Disorder Using A 1-Dimensional Convolutional Neural Network by Aythem Khairi Kareem, Mohammed M. AL-Ani, Ahmed Adil Nafea

“…The proposed techniques are evaluated on publicly available three different ASD datasets (children, Adults, and adolescents). …”
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Two-step consensus clustering approach to immune cell infiltration: An integrated exploration and validation of prognostic and immune implications in sarcomas by Ao-Yu Li, Jie Bu, Hui-Ni Xiao, Zi-Yue Zhao, Jia-Lin Zhang, Bin Yu, Hui Li, Jin-Ping Li, Tao Xiao

“…The tumor immune dysfunction evaluation (TIDE) score was also employed to quantify immunotherapy efficacy between two ImmCI score groups. …”
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Role of Artificial Intelligence in Validating Palatal Rugae Patterns for Individual Identification: A Systematic Review by Balajee Venkatesh, A Haripriya

“…Background: Artificial intelligence (AI) in forensic odontology enhances the accuracy and speed of individual identification through automated dental record comparison. Objectives: To evaluate AI’s accuracy in identifying individuals using palatal rugae patterns to determine the reliability of AI software when integrated with different software platforms and its implications in forensics. …”
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Utilizing Artificial Intelligence for Microbiome Decision-Making: Autism Spectrum Disorder in Children from Bosnia and Herzegovina by Džana Bašić-Čičak, Jasminka Hasić Telalović, Lejla Pašić

“…Model accuracy was evaluated, and an external dataset was introduced to test model generalizability. …”
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Optimizing deep learning for accurate blood cell classification: A study on stain normalization and fine-tuning techniques by Mohammed Tareq Mutar, Jaffar Nouri Alalsaidissa, Mustafa Majid Hameed, Ali Almothaffar

“…BACKGROUND: Deep learning’s role in blood film screening is expanding, with recent advancements including algorithms for the automated detection of sickle cell anemia, malaria, and leukemia using smartphone images. …”
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Mapping the landscape of Artificial intelligence for serious games in Health: An enhanced meta review by Xiya Tao, Nicolás Sáenz-Lechón, Martina Eckert

“…Game control algorithms adapt the game environment and difficulty, while user assessment algorithms gather information about the player's state, such as performance, mood, or physiological data, to evaluate the treatment progress. …”
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Distribution of age at natural menopause, age at menarche, menstrual cycle length, height and BMI in BRCA1 and BRCA2 pathogenic variant carriers and non-carriers: results from EMBR... by Nasim Mavaddat, Debra Frost, Emily Zhao, Daniel R. Barnes, Munaza Ahmed, Julian Barwell, Angela F. Brady, Paul Brennan, Hector Conti, Jackie Cook, Harriet Copeland, Rosemarie Davidson, Alan Donaldson, Emma Douglas, David Gallagher, Rachel Hart, Louise Izatt, Zoe Kemp, Fiona Lalloo, Zosia Miedzybrodzka, Patrick J. Morrison, Jennie E. Murray, Alex Murray, Hannah Musgrave, Claire Searle, Lucy Side, Katie Snape, Vishakha Tripathi, Lisa Walker, Stephanie Archer, D. Gareth Evans, Marc Tischkowitz, Antonis C. Antoniou, Douglas F. Easton

“…The distributions of AAM, menstrual cycle length and BMI were similar between PV carriers and non-carriers, but BRCA1 PV carriers were slightly taller on average than non-carriers (0.5 cm difference, p = 0.003). Conclusion Information on the distribution of cancer risk factors in PV carriers is needed for incorporating these factors into multifactorial cancer risk prediction algorithms. …”
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Digital Colorimetry of Non-steroidal Anti-inflammatory Drugs: Identification Using Principal Component Method by A. A. Chaplenko, O. V. Monogarova, K. V. Oskolok

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In-Process Monitoring of Inhomogeneous Material Characteristics Based on Machine Learning for Future Application in Additive Manufacturing by André Jaquemod, Marijana Palalić, Kamil Güzel, Hans-Christian Möhring

“…The algorithms are trained to recognize patterns, anomalies, or deviations from expected behavior, which can aid in evaluating the effect of detected defects on the machining process and the resultant component quality. …”
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