Airborne lidar intensity correction for mapping snow cover extent and effective grain size in mountainous terrain by Chelsea Ackroyd, Christopher P. Donahue, Brian Menounos, S. McKenzie Skiles

“…Relative to the traditional snow classification derived from optical imagery, the lidar-derived snow extent covered 5.4% more area due to the fine resolution point cloud and absence of shadows common in optical imagery. …”
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Deep Learning Unravels Differences Between Kinematic and Kinetic Gait Cycle Time Series from Two Control Samples of Healthy Children Assessed in Two Different Gait Laboratories by Alfonso de Gorostegui, Damien Kiernan, Juan-Andrés Martín-Gonzalo, Javier López-López, Irene Pulido-Valdeolivas, Estrella Rausell, Massimiliano Zanin, David Gómez-Andrés

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Food insecurity and ultra-processed food consumption in the Health and Retirement Study: Cross-sectional analysis by Abeer A. Aljahdali

“…Mean UPFs% (95% confidence intervals) were 49.1 (47.8, 50.3), 48.5 (46.6, 50.4), and 52.3 (50.4, 54.3) among adults with food security, low food security, and very low food security, respectively (P-trend = 0.0156). …”
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The Idea of Education: Development or Service Delivery? by V. E. Ljovkin, A. O. Ljovkina, E. L. Docenko, L. M. Volosnikova

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Bibliometric and Altmetric Analysis of the 100 Most Cited Articles on Piriformis Syndrome by Burak Tayyip Dede, Muhammed Oguz, Fatih Bagcier, Ebru Aytekin

“…The altimetric attention score was not available for 54 articles. Conclusion: The results of this study provide insight into the level of attention that the scientific community and social media platforms pay to the most cited articles in PS. …”
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Quantification of modal mineralogy in molybdenite-bearing drill-core samples by laser-induced breakdown spectroscopy by Jonnathan Álvarez, Germán Velásquez, Iván Arévalo, Jorge Yáñez, Claudio Sandoval-Muñoz, Benjamín Sepúlveda

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Clinical profiling of psoriatic arthritis: an observational cross-sectional study from Karnataka Psoriatic Arthritis Cohort by Chanakya Kodishala, Vineeta Shobha, S Chandrashekara, Sharath Kumar, Vikram Haridas, Vijay K R Rao, Ramesh Jois, Manisha Daware, Yogesh Preet Singh, Shweta Singhai, B G Dharmanand, Pramod Chebbi, R Subramanian, Ashwini Kamath, Uma Karjiigi, Vikram Raj K Jain, Chethana Dharmapalaiah, Shiva Prasad, C Srinivasa, Ramya Janardana, Benzeeta Pinto, Beenish Nazir, A S Harshini, K M Mahendranath

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A COMBINATION TECHNIQUE OF AUTOLOGOUS AUGMENTATION AND BREAST LIFTING IN HYPOPLASTIC-THIRD GRADE PTOTIC BREAST: A CASE REPORT by Beta Subakti Nataatmadja, Nida' Fahima Amatullah, Loelita Marcelia Lumintang

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Synergistic effect of artificial intelligence and new real-time disassembly sensors: Overcoming limitations and expanding application scope by Bozhou Li, Dajiang Ju, Xingwang Li, Yan Liu, Hongru He, Hao Wang

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The Novel Role of Healing from Bacterial Infections of Lower Limb Open Fractures by X-Ray Exposure by Ali A. Mahdi, Tuqa S. Al-Salmani, Mustafa M. Al-Qaisi

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Medical student training with next-generation handheld ultrasound devices – hands on examination of fetal biometry in obstetrics by Ruben Plöger, Julia Matschl, Adeline Walter, Ulrich Gembruch, Brigitte Strizek, Charlotte Behning, Agnes Wittek, Florian Recker

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A CROSS-SECTIONAL STUDY ASSESSING THE ASSOCIATION BETWEEN PERIODONTAL DISEASE AND SOCIO-BEHAVIORAL RISK FACTORS by Oana Chipirliu, Marian Viorel Crăciun, Mădălina Nicoleta Matei

“…The use of mouthwash is associated with proper hygiene 32.3% of respondents in group B and 54.8% of respondents in group D. Oral health information is mostly obtained from the family, similar percentage for group A and for group C 45.2% of respondents. …”
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Evaluation of drinking water quality in Xinjiang based on the improved comprehensive water quality index by Jie Li, Lingshuang Lv, Wei Zhe, Xixi Deng, Qin Lin, Rongxiang Xia, Ruonan Fu

“…Drinking water quality is mainly affected by the water period, sampling type, water source classification, and water supply method. Lakes, deep wells and rivers are the ideal drinking water sources in Xinjiang.…”
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18F-FDG-PET/CT can be used to predict distant metastasis in hypopharyngeal squamous cell carcinoma by Shinsuke Suzuki, Satoshi Toyoma, Tomoe Abe, Tentaro Endo, Teppei Kouga, Yohei Kaswasaki, Takechiyo Yamada

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Taxonomic Identification and Nutritional Analysis of <i>Pterocladiella capillacea</i> in Zhanjiang by Zhengwen Lv, Hongyan Cai, Nenghui Li, Hang Li, Jun Zeng, Kefeng Wu, Luming Deng, Huaqiang Tan, Hua Ye

“…To evaluate the nutritional value and development potential of <i>Pterocladiella capillacea</i> in the marine environment of Naozhou Island, Zhanjiang, this study conducted species classification and identification, followed by an analysis of key nutritional components. …”
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Comparing Mortality Risk Predictive Ability of Different Scoring Systems in Cirrhotic Patients with Bacteremia by Chi-Chieh Hung, Yin-Chou Hsu, Kuo-Hsuan Lin

“…There was also a significantly different distribution in Child–Pugh classification between the two groups p<0.01. The survivor group had significantly lower proportion of acute-on-chronic liver failure (27.9% vs. 68.3%, p<0.001) and fewer number of organ failures p<0.001. …”
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Cytokines in Liver Cirrhosis (Their Importance in Assessing Activity and Decompensation) by G. K. Mirodzhov, S. D. Pulatova

“…The diagnosis of the underlying disease was established according to the clinical recommendations of the Russian Society for the Study of the Liver and the Russian Gastroenterological Association for the diagnosis and treatment of liver fibrosis and cirrhosis and their complications (2021); decompensated liver cirrhosis was established according to the 1996 Child — Pugh classification. The age of the patients ranged from 17 to 79 years (36.9 ± 0.8 years), there were 55 men and 54 women.Results. …”
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Risk factors for loss to follow-up in patients with gout: A Korean prospective cohort study. by Hyunsue Do, Chang-Nam Son, Hyo Jin Choi, Ji Hyoun Kim, Min Jung Kim, Kichul Shin, Sang-Hyon Kim, Byoongyong Choi, You-Jung Ha, Joong Kyong Ahn, Hyun-Ok Kim, Sung Won Lee, Chang Hoon Lee, Ran Song, Kyeong Min Son, Seung-Geun Lee, Ki Won Moon

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Electricity Theft Detection Using Machine Learning in Traditional Meter Postpaid Residential Customers: A Case Study on State Electricity Company (PLN) Indonesia by Alief Pascal Taruna, Galih Arisona, Dwi Irwanto, Arif Bijak Bestari, Wildan Juniawan

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Anger Emotional Stress Influences VEGF/VEGFR2 and Its Induced PI3K/AKT/mTOR Signaling Pathway by Peng Sun, Sheng Wei, Xia Wei, Jieqiong Wang, Yuanyuan Zhang, Mingqi Qiao, Jibiao Wu

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