The characteristics of dermatology inpatients seen at the quaternary Inkosi Albert Luthuli Central Hospital in Durban, South Africa, over a 5-year period – 2015 - 2020 by L Mthembu, J T Masuka, K Duze, A Mosam

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Association of ultra-processed food-related metabolites with selected biochemical markers in the UK Biobank by Anthony Kityo, Byeonggeun Choi, Jung-Eun Lee, Chulho Kim, Sang-Ah Lee

“…UPF and UNPF intakes were evaluated using the NOVA classification, and related metabolites were identified using elastic net penalized regression. …”
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Investigating misclassification of type 1 diabetes in a population-based cohort of British Pakistanis and Bangladeshis using polygenic risk scores by Timing Liu, Alagu Sankareswaran, Gordon Paterson, Genes & Health Research Team, Diane P. Fraser, Sam Hodgson, Qin Qin Huang, Teng Hiang Heng, Meera Ladwa, Nick Thomas, David A. van Heel, Michael N. Weedon, Chittaranjan S. Yajnik, Richard A. Oram, Giriraj R. Chandak, Hilary C. Martin, Sarah Finer

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Knowledge Management System Berbasis Web tentang Budidaya Hidroponik untuk Mendukung Smart Society by Ariq Cahya Wardhana, Yani Nurhadryani, Sri Wahjuni

“…Meningkatnya jumlah populasi penduduk di Indonesia berdampak pada terbatasnya luas wilayah pertanian di Kota Bogor yang mengakibatkan ancaman produksi pertanian karena konversi lahan persawahan sebesar 88,12% menjadi perumahan dan kebun. Solusi sistem produksi pertanian dengan terbatasnya lahan salah satunya adalah hidroponik. …”
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Instructional design of smart technology use in teacher digital educational environment by G. B. Sarzhanova, R. S. Bobesh, G. Zh. Smagulova, A. Turkel, N. B. Serikbayeva

“…The following categories of research methods were used to reach the goal set: 1) theoretical: cybernetics method, generalisation, analogy, abstraction, visualisation, modelling, and classification; 2) empirical: surveys and interviews techniques, as well as mathematical and statistical data analysis approaches. …”
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Diabetic retinopathy further increases risk of cardiovascular disease mortality in a high-risk cohort by Richard Kha, Yasemin Kapucu, Mayuri Indrakumar, George Burlutsky, Aravinda Thiagalingam, Pramesh Kovoor, Paul Mitchell, Gerald Liew

“…Mild non-proliferative DR (1.85 [1.26–2.72]) and proliferative DR (5.27 [2.32–12.00]) were associated with greater CVD mortality risk. …”
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Urolithiasis complicated by chronic obstructive pyelonephritis in patients with concomitant diseases of the cardiovascular system by R. V. Royuk, S. K. Yarovoy, R. A. Khomov

“…The stages of CHF were determined in accordance with the Strazhesco-Vasilenko classification [N. D. Strazhesco, V. H. Vasilenko, 1935]. …”
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Decision-Making Factors Among Dentists for Using Dental Magnifying Loupes: A Cross-Sectional Study by Alghilan MA, AlShehri A, Almeshrafi A, Alrumi A, Aldibasi O

“…Maryam A Alghilan,1,2 Aram AlShehri,1,2 Azzam Almeshrafi,3 Abdulmajeed Alrumi,4 Omar Aldibasi2 1Restorative and Prosthetic Dental Sciences, College of Dentistry, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia; 2King Abdullah International Medical Research Center, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia; 3King Saud Medical City, Riyadh, Kingdom of Saudi Arabia; 4King Faisal Specialist Hospital and Research Centre, Riyadh, Kingdom of Saudi ArabiaCorrespondence: Maryam A Alghilan, Restorative and Prosthetic Dental Sciences, College of Dentistry, King Saud bin Abdulaziz University for Health Sciences Riyadh, Saudi Arabia, P.O. …”
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Sistem Pendeteksi Sleep-Disordered Breathing Berdasarkan High dan Low Frequency Menggunakan Metode Naïve Bayes by Achmad Ghifari, Edita Rosana Widasari

“…This system uses AD8232 sensors to acquire heart signals that are processed by Arduino Mega 2560 to obtain High and Low-frequency features of the signal, which are then used for classification. This system has an accuracy of 85% in classifying SDB using the Naive Bayes method with an average computation time of 12ms. …”
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Association between frailty, as measured by the FRAIL scale, and 1-year mortality in older patients undergoing hip fracture surgery by Shaohua Xi, Zhibin Wu, Jian Cui, Suran Yin, Shaozhi Xi, Chaoyang Liu

“…Frail patients had a higher incidence of Clavien-Dindo (CD) classification of surgical complications ≥ II (31.3% vs. 12.3%, p = 0.00) and greater 1-year mortality (21.3% vs. 4.4%, p = 0.00) compared with non-frail patients. …”
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Anatomical characterization of Semi-arid Bignoniaceae using light and scanning electron microscopy by Romisha Sonia, Shabnum Shaheen, Muhammad Waheed, Sana Imran, Shiekh Marifatul Haq, Murad Muhammad, Abeer Hashem, Samiha Al Shehri, Elsayed Fathi Abd-Allah

“…Glandular peltate trichomes contained a basal epidermal cell, a very small monocellular stalk and a circular or round multicellular head containing 12 cells arranged in a single circle. Non-glandular trichomes had a thin apex without a head and a pointed end. …”
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Differentiation of <i>Bos grunniens</i> and <i>Bos taurus</i> based on STR locus polymorphism by K. B. Chekirov, Zh. T. Isakova, V. N. Kipen, M. I. Irsaliev, S. B. Mukeeva, K. A. Aitbaev, G. A. Sharshenalieva, S. B. Beyshenalieva, B. U. Kydyralieva

“…Of the 15 STRs, the greatest potential to differentiate B. grunniens and B. taurus was found in those with the maximal calculated FST values, including BM1818 (0.056), BM1824 (0.041), BM2113 (0.030), CSSM66 (0.034) and ILSTS006 (0.063). The classification accuracy of B. grunniens using only these five microsatellite loci was 98.8 ± 3.4 %, similar for B. taurus, 99.1 ± 1.2 %. …”
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Assessment of different genotyping markers and algorithms for distinguishing Plasmodium falciparum recrudescence from reinfection in Uganda. by Mwesigwa, Alex, Golumbeanu, Monica, Jones, Sam, Cantoreggi, L. Sara, Musinguzi, Benson, Nankabirwa, I. Joaniter, Bikaitwoha, Everd Maniple, Kalyango, N. Joan, Karamagi, Charles, Plucinski, Mateusz, Nsobya, L. Samuel, Nsanzabana, Christian, Byakika-Kibwika, Pauline

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Features of development and progression of colorectal cancer on a background of ulcerative colitis by I. L. Khalif, V. N. Kashnikov, A. V. Gusev, O. V. Golovenko, K. V. Bolikhov, L. L. Kapuller, A. N. Kuznetsov, A. V. Vasilchenko

“…The left-side lesion was revealed in 8 patients (12,3%), proctitis – in 8 (12,3%), total involvement of the large intestine – in 49 (75,4%). …”
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Increased Early‐Mortality in Children With Solid Tumors During the COVID‐19 Pandemic in a Middle‐Income Country by Oscar Ramirez, Vivian Piedrahita, Santiago Bolivar, Karina Grillo, Adriana Linares, Carlos Pardo, Martha Piña, Amaranto Suarez, Carlos A. Portilla, Jesus Ardila, Viviana Lotero, Luz A. Urcuqui, Angela Trujillo, Patricia Montenegro, Luis E. Bravo, Paula Aristizabal, VIGICANCER Working Group

“…In the EC, the 6‐month and 24‐month mortality adjusted hazard ratio (aHR) in children with solid tumors was 1.7 (95% CI, 1.1–2.7) and 1.3 (95% CI, 1.0–1.7), respectively, and in children with bone tumors 4.0 (95% CI, 1.2–13.0) and 2.1 (95% CI, 1.2–3.6), respectively. …”
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The age and genetics of individual larches in four rural parks and at the Järvselja Educational and Experimental Forest Centre in Estonia by Sander Heldur, Pâques Luc E.

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Enhancing pediatric congenital heart disease detection using customized 1D CNN algorithm and phonocardiogram signals by Ihtisham Ul Haq, Ghassan Husnain, Yazeed Yasin Ghadi, Nisreen Innab, Masoud Alajmi, Hanan Aljuaid

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Ultrasound-Assisted Extraction Followed by Inductively Coupled Plasma Mass Spectrometry and Multivariate Profiling of Rare Earth Elements in Coffee by Aleksandra Savić, Jelena Mutić, Milica Lučić, Jelena Vesković, Andrijana Miletić, Antonije Onjia

“…However, differences in REE profiles suggest potential classification based on variety. REEs pose a negligible health risk to coffee consumers, with HI values ranging from 4.7 × 10⁻⁸ to 6.3 × 10⁻⁶ and TCR ranging from 2.6 × 10⁻¹⁴ to 3.5 × 10⁻¹².…”
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Insights into mapping tropical primary wet forests in the Amazon Basin from satellite-based time series metrics of canopy stability by Brendan Mackey, Sonia Hugh, Tatiana Shestakova, Brendan M. Rogers, Ludmila Rattis

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Voice analysis and deep learning for detecting mental disorders in pregnant women: a cross-sectional study by Hikaru Ooba, Jota Maki, Hisashi Masuyama

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