Explainable Machine Learning for Radio Environment Mapping: An Intelligent System for Electric Field Strength Monitoring by Yiannis Kiouvrekis, Theodor Panagiotakopoulos, Efthymia Nousi, Ioannis Filippopoulos, Agapi Ploussi, Ellas Spyratou, Efstathios P. Efstathopoulos

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Progressive Bounded Error Piecewise Linear Approximation with Resolution Reduction for Time Series Data Compression by Jeng-Wei Lin, Shih-wei Liao, Yu-Hung Tsai, Ching-Che Huang

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Morphofunctional status of parotid salivary glands in three-month-old rats with experimentally induced fetal macrosomia by O. V. Garmash, G. I. Gubina-Vakulyk

“…Beside the histological tests we used Gallocianin-chrome alum technique to detect DNA and RNA, and PAS-reaction to detect glycoproteins. Using computer images we measured the squares of serocytes, evaluated the content of DNA in the cell nucleus, the content of RNA in cytoplasm and glycoproteins in saliva in ducts and gaps of acini. …”
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Benchmarking Differential Abundance Tests for 16S microbiome sequencing data using simulated data based on experimental templates. by Eva Kohnert, Clemens Kreutz

“…This current study aims to enhance our understanding by systematically evaluating the impact of known truth incorporation on DA test performance, thereby providing further information for the selection and application of DA methods in microbiome research.…”
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Assessing concordance between RNA-Seq and NanoString technologies in Ebola-infected nonhuman primates using machine learning by Mostafa Rezapour, Aarthi Narayanan, Wyatt H. Mowery, Metin Nafi Gurcan

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Safe AI for coral reefs: Benchmarking out-of-distribution detection algorithms for coral reef image surveys by Mathew Wyatt, Sharyn Hickey, Ben Radford, Manuel Gonzalez-Rivero, Nader Boutros, Nikolaus Callow, Nicole Ryan, Arjun Chennu, Mohammed Bennamoun, James Gilmour

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Randomized adaptive assessment of post COVID syndrome treatments (RAPID): a study protocol for a multicenter, randomized, controlled adaptive platform trial of treatment options fo... by Lisa Weipert, Ralph G. Telgmann, Gabriele Anton, Thomas Asendorf, Irina Chaplinskaja-Sobol, Sandra Ciesek, Oliver A. Cornely, Sonja Drescher, Carsten Finke, Tim Friede, Julia Groth, Sabine Hanß, Wolfgang Hoffmann, Cynthia Huber, Thomas Illig, Monika Kraus, Dagmar Krefting, Sebastian Kuhn, Andreas Muehler, Matthias Nauck, Jens Schaller, Ann-Cathrin Schmidt, Georg Schmidt, Birgit Sawitzki, Ralf Tostmann, Heike Valentin, Maria Vehreschild

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Characterization of brown carbon absorption in different European environments through source contribution analysis by H. Navarro-Barboza, J. Rovira, V. Obiso, A. Pozzer, A. Pozzer, M. Via, A. Alastuey, X. Querol, N. Perez, M. Savadkoohi, M. Savadkoohi, G. Chen, J. Yus-Díez, M. Ivancic, M. Rigler, K. Eleftheriadis, S. Vratolis, O. Zografou, M. Gini, B. Chazeau, B. Chazeau, N. Marchand, A. S. H. Prevot, K. Dallenbach, M. Ehn, K. Luoma, K. Luoma, T. Petäjä, A. Tobler, J. Necki, M. Aurela, H. Timonen, J. Niemi, O. Favez, J.-E. Petit, J.-P. Putaud, C. Hueglin, N. Pascal, A. Chauvigné, S. Conil, M. Pandolfi, O. Jorba

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Non-Invasive Monitoring of Intracranial Pressure Pulse Waves from Closed Eyelids in Patients with Normal-Tension Glaucoma by Laimonas Bartusis, Solventa Krakauskaite, Ugne Kevalaite, Austeja Judickaite, Arminas Zizas, Akvile Stoskuviene, Edvinas Chaleckas, Mantas Deimantavicius, Yasin Hamarat, Fabien Scalzo, Kristina Berskiene, Ingrida Januleviciene, Arminas Ragauskas

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Association of risk factors with mental illness in a rural community: insights from machine learning models by Firoj Al-Mamun, Mohammed A. Mamun, Md Emran Hasan, Moneerah Mohammad ALmerab, Johurul Islam, Mohammad Muhit

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Early Detection and Dynamic Grading of Sweet Potato Scab Based on Hyperspectral Imaging by Xiaosong Ning, Qiyao Xia, Fajiang Tang, Ziyu Ding, Xiawei Ding, Fanguo Zeng, Zhangying Wang, Hongda Zou, Xuejun Yue, Lifei Huang

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Advancing life expectancy in Saudi Arabia: insights from global best practices by Hala Alosaimi, Haitham Alnouri, Ibrahim Alasiri, Saad Almushawah, Mansour Mohammed, Ameera Abdulrahman, Rana A. Alotaibi, Rasha Alfawaz, Abdulaziz Abdulbaqi, Weam Banjar, Tareef Alaama, Mariam M. AlEissa

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Per- and polyfluoroalkyl substances are linked to incident primary dyslipidaemia: A prospective study from Chinese governmental employee cohort by Ling Li, Feiyun Ouyang, Jun He, Chengcheng Zhang, Yilu Li, Dan Luo, Shuiyuan Xiao

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Insights into the utility of small form air quality monitoring in health care environments: lessons learned from the University Hospitals Birmingham NHS Foundation Trust by Nicole Cowell, Nicole Cowell, Clarissa Baldo, Clarissa Baldo, Kawun Williams, Catherine Muller, Siqi Hou, Daniel Rooney, Jian Zhong, Jian Zhong, Scarlett Healey, William James Bloss, Suzanne E. Bartington

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Genetic programming-based algorithms application in modeling the compressive strength of steel fiber-reinforced concrete exposed to elevated temperatures by Mohsin Ali, Li Chen, Qadir Bux Alias Imran Latif Qureshi, Deema Mohammed Alsekait, Adil Khan, Kiran Arif, Muhammad Luqman, Diaa Salama Abd Elminaam, Amir Hamza, Majid Khan

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Boswellia carteri Birdw. Resin Extract Induces Phase-I Cytochrome P-450 Enzyme Gene Expressions in Human Hepatocarcinoma (Hep G2) Cells: In vitro and in silico Studies by Alghamdi SS, Albahlal HN, Alajmi RS, Alsharidah A, Almogren A, Suliman R, Alehaideb ZI

“…PCR analysis was employed to quantify CYP enzyme gene expression. Computational tools, including Protox-II, Swiss ADME, and molecular docking, were used to assess pharmacokinetics, CYP interactions, and biological targets. …”
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The characteristics and prognosis of bronchiectasis patients with airflow limitation: a prospective longitudinal study by Yuanting Cai, Linbin Xv, Zili Zhu, Shiyi He, Tianyu Sun, Chao Cao

“…Differences among the groups were evaluated via two-tailed Student’s t test or ANOVA for continuous variables if the data were normally distributed. …”
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Hidden origami in Trypanosoma cruzi nuclei highlights its non-random 3D genomic organization by Natália Karla Bellini, Pedro Leonardo Carvalho de Lima, David da Silva Pires, Julia Pinheiro Chagas da Cunha

“…ABSTRACT The protozoan Trypanosoma cruzi is the causative agent of Chagas disease and is known for its polycistronic transcription, with about 50% of its genome consisting of repetitive sequences, including coding (primarily multigenic families) and non-coding regions (such as ribosomal DNA, spliced leader [SL], and retroelements, etc). Here, we evaluated the genomic features associated with higher-order chromatin organization in T. cruzi (Brazil A4 strain) by extensive computational processing of high-throughput chromosome conformation capture (Hi-C). …”
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F-FDG PET/CT Quantitative Parameters and Texture Analysis Effectively Differentiate Endometrial Precancerous Lesion and Early-Stage Carcinoma by Tong Wang MD, Hongzan Sun MD, Yan Guo PhD, Lue Zou MD

“…Objective: This study evaluated the metabolic parameters and texture features of fluorodeoxyglucose positron emission tomography–computed tomography (PET/CT) for the diagnosis and differentiation of endometrial atypical hyperplasia (EAH), EAH with field cancerization (FC), and stage 1A endometrial carcinoma (EC 1a). …”
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Lymphadenectomy and Sentinel Lymph Node Biopsy in Patients with Endometrial Cancer in Intermediate and High-Intermediate Risk Groups: The Ukrainian Experience by Khoptiana O, Svintsitskyi V, Nespryadko S, Tsip NP, Gogisvanidze T, Dzimistarishvili M, Krasylenko D, Chetverikov MS, Nigutsa IP, Sumtsov D, Dolyk P

“…Patients with non-endometrioid tumors and those with lymphadenopathy detected on computed tomography were excluded. The study group underwent sentinel lymph node biopsy. …”
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