Ability of Human Auditory Perception to Distinguish Human-Imitated Speech by Khalid Zaman, Kai Li, Islam J. A. M. Samiul, Yasufumi Uezu, Shunsuke Kidani, Masashi Unoki

“…Additionally, a feasibility study was conducted using two feature sets for machine classification; among the timbral features, boominess and depth performed best with accuracies of 62% and 60%, respectively, while general features like Mel-spectrograms reached 51%. …”
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Development of a phenomena identification and ranking table (PIRT) for intermediate break loss-of-coolant accident in PWRs by Hae Min Park, Jong Hyuk Lee, Chiwoong Choi, Kwi-Seok Ha, Byung Hyun You, Jaeseok Heo, Kyung Doo Kim, Sung Won Bae, Seung Wook Lee, Dong Hyuk Lee, Sang Ik Lee, Chan Eok Park, Bub Dong Chung, Kwang Won Seul

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Identification of novel serum lipid metabolism potential markers and metabolic pathways for oral cancer: a population-based study by Na Wang, Yujia Chen, Jianli Lin, Yulan Lin, Haoyuan Song, Weihai Huang, Liling Shen, Fa Chen, Fengqiong Liu, Jing Wang, Yu Qiu, Bin Shi, Ling Li, Lisong Lin, Lizhen Pan, Baochang He

“…Then to establish and evaluate disease classification models capable of distinguishing OC patients from healthy controls. …”
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The clinical prediction model to distinguish between colonization and infection by Klebsiella pneumoniae by Xiaoyu Zhang, Xifan Zhang, Deng Zhang, Jing Xu, Jingping Zhang, Xin Zhang

“…Six predictive models were constructed using 15 key influencing factors, including Classification and Regression Trees (CART), C5.0, Gradient Boosting Machines (GBM), Support Vector Machines (SVM), Random Forest (RF), and Nomogram. …”
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Burden of Respiratory Disease in Pediatric Intensive Care Unit: Experience from a PICU of a Tertiary Care Center in Pakistan by Sidra Ishaque, Nazia Bibi, Zaiba Shafik Dawood, Janeeta Hamid, Quratulain Maha, Syeda Asma Sherazi, Ali Faisal Saleem, Qalab Abbas, Naveed Ur Rehman Siddiqui, Anwar Ul Haque

“…Pneumonia was the principal diagnosis in 170 patients (62%) and accounted for most deaths. 76/279 (27.2%) were ventilated, and 67/279(24.0%) needed inotropic support. …”
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Frequency and Prognostic Impact of CDKN2A/B Alteration in Oligodendrogliomas: Systematic Review and Meta-analysis by Satoshi NAKASU, Shoichi DEGUCHI, Yoko NAKASU

“…Although the frequency (95% CI) was very low in grade 2 tumors (0.31%; 0.02-0.4) than in grade 3 tumors (9.4%; 6.2-14.0; I2 = 52.0%), pHR of multivariate analyses with covariates of WHO grade and age was still significant (P = 0.017). …”
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Prevalence and Clinical Characteristics including Patterns of Antihypertensive Drug Administration of the Different Home Blood Pressure Phenotypes in Treated Hypertensive Patients by Chavalit Chotruangnapa, Tossaporn Thammarux, Piyawan Thongdang

“…The total mean age was 62.94 ± 13.97 years. There were 39.40% men. The prevalence of each home BP phenotype (by traditional BP target) was 55.76%, 12.66%, 7.40%, and 24.18% in controlled (home) hypertension, MoHT, EHT, and MoEHT, respectively. …”
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Prevalence, Causes, and Factors Associated with Visual Impairment and Blindness among Registered Pensioners in Ghana by Benjamin D. Nuertey, Kwesi Nyan Amissah-Arthur, Joyce Addai, Victor Adongo, Augustine D. Nuertey, Clement Kabutey, Isaac Asimadu Mensah, Richard Bekoe Biritwum

“…Cataract was the leading cause of blindness (62.4%) and moderate and severe visual impairment (55.7%). …”
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Profiles of Sugar and Organic Acid of Fruit Juices: A Comparative Study and Implication for Authentication by Jiaxiu Li, Chunling Zhang, Hui Liu, Jiechao Liu, Zhonggao Jiao

“…Citric acid was the predominant organic acid in strawberry and blueberry juice, which contributed to 62.39–83.73% and 73.36–89.56% of the total acid content of each species. …”
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Nontuberculous mycobacterium occurrence in biological material and environmental samples covered by epidemiological surveillance in the Republic of Dagestan by M. O. Baratov

“…Among nontuberculous mycobacterium cultures, 16 (50.0%) were classified as belonging to group II, 2 (6.2%) – as belonging to group III and 14 (43.8%) – as belonging to group IV according to the Runyon classification. …”
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AppAuth: Authorship Attribution for Android App Clones by Guoai Xu, Chengpeng Zhang, Bowen Sun, Xinyu Yang, Yanhui Guo, Chengze Li, Haoyu Wang

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A benchmark of deep learning approaches to predict lung cancer risk using national lung screening trial cohort by Yifan Jiang, Leyla Ebrahimpour, Philippe Després, Venkata SK. Manem

“…The lowest AUROCs for the 3D and 2D models were 0.70 and 0.62, respectively. Furthermore, pretraining on large-scale radiological image datasets did not show the expected performance advantage over pretraining on general-purpose datasets. …”
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Scrutiny on the grammatical error of descriptive text written by the first semester public health students Universitas Faletehan by Kety Soraya

“…They covered 495 (35.33%) errors of articles, 280 (19.98%) errors of nouns, 225 (16.05%) errors of preposition, 116 (8.27%) errors of adjectives, 62 (5.42%) errors of verb, 58 (5.07%) errors of conjunction, 44 (3.84%) errors of pronouns, and 110 (7.85%) errors of verbs. …”
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A recurrence model for non-puerperal mastitis patients based on machine learning. by Gaosha Li, Qian Yu, Feng Dong, Zhaoxia Wu, Xijing Fan, Lingling Zhang, Ying Yu

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HSPB1 Regulates Autophagy and Apoptosis in Vascular Smooth Muscle Cells in Arteriosclerosis Obliterans by Keqin Chen, Changmiao Hou, Lei Xu, Hanwu Peng, Chaogui He, Jing Liu, Guoqing Wang, Shaoshuai Huang, Xiehong Liu

“…Furthermore, HSPB1 expression was significantly decreased, and p62 and cleaved caspase-3 were increased in the sclerotic vasculature compared to the normal vasculature (p<0.05). …”
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A novel approach to analyzing the evolution of SARS-CoV-2 based on visualization and clustering of large genetic data compactly represented in operative memory by A. Yu. Palyanov, N. V. Palyanova

“…Our implementation of such data represen­tation resulted in a 1:1500 compression ratio (for comparison, compression of the same data with the popular WinRAR archiver gives only 1:62) and fast access to genomes (and their metadata) and comparisons between different genome variants. …”
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Integrating radiological and clinical data for clinically significant prostate cancer detection with machine learning techniques by Luis Mariano Esteban, Ángel Borque-Fernando, Maria Etelvina Escorihuela, Javier Esteban-Escaño, Jose María Abascal, Pol Servian, Juan Morote

“…This study explores modeling using regularization techniques such as ridge regression, LASSO, elastic net, classification tree, tree ensemble models like random forest or XGBoost, and neural networks to predict CsPCa in a dataset of 4799 patients in Catalonia (Spain). …”
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GGLA-NeXtE2NET: A Dual-Branch Ensemble Network With Gated Global-Local Attention for Enhanced Brain Tumor Recognition by Adnan Saeed, Khurram Shehzad, Shahzad Sarwar Bhatti, Saim Ahmed, Ahmad Taher Azar

“…We evaluated GGLA-NeXtE2NET on 3-class and 4-class brain tumor datasets and achieved 99.06%, and 99.62% overall accuracy on both datasets respectively.…”
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Comparison of the CHU-9D and the EQ-5D-Y instruments in children and young people with cerebral palsy: a cross-sectional study by Jennifer M Ryan, Nana Anokye, Grace Lavelle, Ellen McKay, Marika Noorkoiv, Nicola Theis

“…There was poor agreement between utilities from the two instruments (intraclass correlation coefficient=0.62; 95% limits of agreement −0.58 to 0.29). Correlations between EQ-5D-Y and CHU-9D dimensions were weak to moderate (r=0.25 to 0.59). …”
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Data linkage of German statutory health insurance claims data and care needs assessments preceding a population-based cohort study on nursing home admission by Karin Wolf-Ostermann, Dominik Domhoff, Kathrin Seibert, Susanne Stiefler, Dirk Peschke

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