PENGEMBANGAN PERANGKAT PEMBELAJARAN MELALUI MODEL PEMBELAJARAN BERBASIS KEARIFAN LOKAL KALIMANTAN SELATAN UNTUK MENINGKATKAN KETERAMPILAN METAKOGNITIF DAN BERPIKIR KRITIS PESERTA D... by Kultsum Munirah, Siti Ramdiah, Budi Prayitno

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Survey of Vegetation cover Changes in Forcados Area of the Niger Delta by Akuro Adoki

“…The major changes are the decline in the areal coverage of mature forest by about 21% between 1988 and 1998 and 40% from 1988-2008; phenonmenal increase of secondary forest by over 800% between 1988 and 2008; decline in the areal coverage of mangrove vegetation by about 37% from 1988-2008; and progressive increase in the area occupied by stressed vegetation by 7% from 1988-1998 and 38% from 1988-2008. …”
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Sequence-variable attention temporal convolutional network for volcanic lithology identification based on well logs by Hanlin Feng, Zitong Zhang, Chunlei Zhang, Chengcheng Zhong, Qiaoyu Ma

“…Abstract A Sequence-Variable Attention Temporal Convolutional Network (SVA-TCN) is proposed for lithology classification based on well log data. This study aims to address the issue that native TCN pays insufficient attention to crucial logging variables and sequence structural features in well log tasks. …”
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Artificial Neural Network-Based System for PET Volume Segmentation by Mhd Saeed Sharif, Maysam Abbod, Abbes Amira, Habib Zaidi

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Association between Hypodontia and Angle’s Malocclusions among Orthodontic Patients in Kathmandu, Nepal by Sanjay Prasad Gupta, Samarika Dahal, Khushboo Goel, Amar Bhochhibhoya, Shristi Rauniyar

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Controlling Embedded Systems Remotely via Internet-of-Things Based on Emotional Recognition by Mohammad J. M. Zedan, Ali I. Abduljabbar, Fahad Layth Malallah, Mustafa Ghanem Saeed

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Radix Entomolaris in the Mandibular Molar Teeth of an Iranian Population by Maryam Kuzekanani, Laurence J. Walsh, Jahangir Haghani, Ali Zeynali Kermani

“…In all cases, RE was the shortest root, with an average root length of 18.37 mm. RE occurred in only 0.8% of mandibular second molars, with an average root length of 18.0 mm. …”
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Clinical and Morphological Manifestations of Gastritis and Serum Cytokine Levels in Schoolchildren with Familial History of Gastric Cancer by T. V. Polivanova, E. V. Kasparov, V. A. Vshivkov

“…Gastritis was graded in the Sydney classification. Serum cytokine levels (IL-2, IL-4, IL-8, IL-18, IL-1β, IFN-α, TNM-α) were obtained in enzyme immunoassays (ELISA).Results. …”
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Association between gross motor function and quality of life in a group of Brazilian adults with cerebral palsy: an exploratory study by Marina Fernandes Ribeiro, Ana Paula de Mendonça, Rosane Luzia de Souza Morais

“…Results: Better GMF explained 37% (adjusted R² = 0.373) of the variability in HRQoL related to functional capacity, and 22% (adjusted R² = 0.221) of the physical aspects summary. …”
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The influence of the use of regulatory codes on the diagnosis of pathologies of reinforced concrete frame bridges by Lakhal Sebahi, Mohamed Bensoula, Mohamed Zaoui, Tahar Kadri

“…To achieve this goal, a frame bridge of total length of 37.2 m, located in the wilaya of Tiaret in Algeria, is expertized. …”
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Mitogenome Phylogenetics of Spiruromorpha Porpoise Parasite: Insights Into Phylogeny of <i>Crassicauda magna</i> by Lei Han, Yuling Yang, Maolin Lu, Hongyan Yu, Yaxian Lu, Mengchao Zhou, Tianlu Liu, Ruisi Zhang, Bingyao Chen, Zhijun Hou

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Molecular Profiling of Acute and Chronic Rejections of Renal Allografts by Hřibová Petra, Honsová Eva, Brabcová Irena, Hrubá Petra, Viklický Ondřej

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Modifications of the maximum expiratory flow in bronchial asthma treatment using Intal and Ketotifeno. by Belkis M. Vicente Sánchez, Nallelys Villanueva Bravo, Luis M. Padrón Velásquez, Marylin Aroche Quintana

“…The sample was constituted for 37 patients, to those that were applied a form of data where it was included the age, sex, clinical characteristics of its illness and the current treatment. …”
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Land Use Change Detection Between Tarsus - Karataş in Lower Seyhan Plain with Spectral Angle Mapper Technique by Mamadou Traore, Senem Tekin, Tolga Çan

“…The accuracy of the controlled classification studies was evaluated with kappa statistics and calculated as 0,80, 0,84, 0,87 for 1985, 2000 and 2019, respectively.…”
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Predictors of Major Bleeding and Mortality in Dengue Infection: A Retrospective Observational Study in a Tertiary Care Centre in South India by Kevin John John, Karthik Gunasekaran, John Davis Prasad, Divya Mathew, Sohini Das, N. Sultan, Asha Mary Abraham, Ramya Iyyadurai

“…Vomiting (70.4%), myalgia (60.4%), headache (42.1%), abdominal pain (38.4%), bleeding (38%), and rash (37.1%) were the most common symptoms at presentation. …”
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Superfoods: exploring sustainability perspectives between nutrient synthesizers and accumulators by G. Santunione, G. Montevecchi, G. Montevecchi

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Assessment of the Association between In Vivo Corneal Morphogeometrical Changes and Keratoconus Eyes with Severe Visual Limitation by J. S. Velázquez, F. Cavas, J. Alió del Barrio, D. G. Fernández-Pacheco, J. Alió

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Damage Evolution Characteristics of Steel-Fiber-Reinforced Cellular Concrete Based on Acoustic Emission by Hu Huang, Feihao Chen, Kelei Cao, Xiancai Zhang, Ruihang Li

“…The results show the following: the inclusion of steel fibers increased the compressive strength of cellular concrete by 19.8~46.3% at 10% porosity, and by 37.1~102.2% at 20% porosity; the addition of steel fibers significantly increased the density and intensity of the acoustic emission signals; the decreasing tendency of the IB value at the peak stress slowed down with the increase in the amount of steel fibers, and the steel fibers could effectively inhibit the crack development; crack classification results show that the proportion of shear cracks in all stages of cellular concrete increased significantly after the addition of steel fibers.…”
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Comparative analysis of deep learning and radiomic signatures for overall survival prediction in recurrent high-grade glioma treated with immunotherapy by Qi Wan, Clifford Lindsay, Chenxi Zhang, Jisoo Kim, Xin Chen, Jing Li, Raymond Y. Huang, David A. Reardon, Geoffrey S. Young, Lei Qin

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Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound by D.M. Anisuzzaman, PhD, Jeffrey G. Malins, PhD, John I. Jackson, PhD, Eunjung Lee, PhD, Jwan A. Naser, MBBS, Behrouz Rostami, PhD, Grace Greason, BA, Jared G. Bird, MD, Paul A. Friedman, MD, Jae K. Oh, MD, Patricia A. Pellikka, MD, Jeremy J. Thaden, MD, Francisco Lopez-Jimenez, MD, MSc, MBA, Zachi I. Attia, PhD, Sorin V. Pislaru, MD, PhD, Garvan C. Kane, MD, PhD

“…Results: Models showed strong performance on the retrospective TTE datasets (LVEF regression: root mean squared error (RMSE)=6.83%, 6.53%, and 6.95% for Rochester, Arizona, and Florida cohorts, respectively; classification of LVEF ≤40% versus LVEF > 40%: area under curve (AUC)=0.962, 0.967, and 0.980 for Rochester, Arizona, and Florida, respectively; age: RMSE=9.44% for Rochester; sex: AUC=0.882 for Rochester), and performed comparably for prospective HCU versus TTE data (LVEF regression: RMSE=6.37% for HCU vs 5.57% for TTE; LVEF classification: AUC=0.974 vs 0.981; age: RMSE=10.35% vs 9.32%; sex: AUC=0.896 vs 0.933). …”
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