Non-parathyroid hypercalcemia in a patient with new-onset hyperthyroidism and silicone-induced granulomas: case report by Laura Montefusco, Giada Rossi, Iulia Petria, Ida Pastore, Ida Pastore, Paolo Fiorina, Paolo Fiorina, Paolo Fiorina, Paolo Fiorina

“…Treatment of hyperthyroidism with normalization of thyroid function tests was simultaneously followed by improvement of calcium and PTH levels supporting the diagnosis of hypercalcemia secondary to Graves’ disease.Learning pointsHyperthyroidism is a rare cause of hypercalcemia, but it has to be considered in suggestive clinical settings. …”
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Revolutionizing ESCC prognosis: the efficiency of tumor-infiltrating immune cells (TIIC) signature score by Haixia Wang, Shaowei Ma, Zixin Yang, Ren Niu, Haiyong Zhu, Shujun Li, Shaolin Gao, Zhirong Li, Yanhua Tian

“…Tissue Specific Index (TSI) was defined to identify potential TIIC-RNAs from the TME. Twenty machine learning algorithms were further applied to evaluate the prognostic efficacy of TIIC signature score. …”
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Precision fetal cardiology detects cyanotic congenital heart disease using maternal saliva metabolome and artificial intelligence by Ray Bahado-Singh, Nadia Ashrafi, Amin Ibrahim, Buket Aydas, Ali Yilmaz, Perry Friedman, Stewart F. Graham, Onur Turkoglu

“…We therefore sought to use a Precision Fetal Cardiology based approach combining metabolomic profiling of maternal saliva and machine learning, a major branch of artificial intelligence (AI), for the prenatal detection of isolated, non-syndromic cyanotic CHD. …”
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The effect of the APOE4 genotype on physiological and cognitive health in randomised controlled trials with an exercise intervention: a systematic review and meta-analysis by Felicity S. E. Spencer, Richard J. Elsworthy, Leigh Breen, Jon R. B. Bishop, Connor Dunleavy, Sarah Aldred

“…Very low to moderate quality evidence showed that APOE4 carriers benefitted more than APOE4 non-carriers on cognitive (e.g. executive function, learning) and physical (e.g. relative telomere length) outcomes after exercise; and that APOE4 non-carriers benefited over carriers for physical (serum BDNF, gait speed) and cognitive (global cognition, verbal memory) markers. …”
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Exploring RNA cargo in extracellular vesicles for pleural mesothelioma detection by Agnieszka Kraft, Michaela B. Kirschner, Vanessa Orlowski, Manuel Ronner, Caroline Bodmer, Valentina Boeva, Isabelle Opitz, Mayura Meerang

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Multi-scale hydraulic graph neural networks for flood modelling by R. Bentivoglio, E. Isufi, S. N. Jonkman, R. Taormina

“…<p>Deep-learning-based surrogate models represent a powerful alternative to numerical models for speeding up flood mapping while preserving accuracy. …”
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Analisis Pengaruh Faktor Teknologi, Organisasi, dan Manusia Terhadap Kesuksesan Penerapan E-voting System pada Aspek Penggunaan Sistem, Kepuasan Pengguna, dan Manfaat (Studi Kasus... by Muhammad Rosyid Mubarok, Aditya Rachmadi, Satrio Hadi Wijoyo

“…PEMIRA UB is a forum for students in democratic learning on campus. The purpose of this research is to identify the factors that affecting user satisfaction, system use and benefits in order to determine the success of implementing PEMIRA UB e-voting system. …”
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Implementasi Algoritma TOPSIS dan Metode EUCS untuk Pengujian Sistem Penilaian Kinerja Pegawai pada Laboran Fakultas Teknologi Informasi UKSW Salatiga by Andreas Arga Rinjani Saputro, Kristoko Dwi Hartomo

“…Abstract Laboratory employee is a education labor which help process learning college student within part of vocational and academic. …”
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Application of Dragonnet and Conformal Inference for Estimating Individualized Treatment Effects for Personalized Stroke Prevention: Retrospective Cohort Study by Sermkiat Lolak, John Attia, Gareth J McKay, Ammarin Thakkinstian

“…The study also aimed to determine and validate the causal effects of known stroke risk factors—hypertension (HT), diabetes mellitus (DM), dyslipidemia (DLP), and atrial fibrillation (AF)—using both a conventional causal model and machine learning models. MethodsA retrospective cohort study was conducted using data from 275,247 high-risk patients treated at Ramathibodi Hospital, Thailand, between 2010 and 2020. …”
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Parkinson’s Disease Prediction: An Attention-Based Multimodal Fusion Framework Using Handwriting and Clinical Data by Sabrina Benredjem, Tahar Mekhaznia, Abdulghafor Rawad, Sherzod Turaev, Akram Bennour, Bourmatte Sofiane, Abdulaziz Aborujilah, Mohamed Al Sarem

“…Method: To assist medical professionals in timely diagnosis of PD, we introduce a cutting-edge Multimodal Diagnosis framework (PMMD). Based on deep learning techniques, the PMMD framework integrates imaging, handwriting, drawing, and clinical data to accurately detect PD. …”
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Brain Functional Network in Chronic Asymptomatic Carotid Artery Stenosis and Occlusion: Changes and Compensation by Shihao He, Ziqi Liu, Zongsheng Xu, Ran Duan, Li Yuan, Chu Xiao, Zhe Yi, Rong Wang

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Auditory attention decoding based on neural-network for binaural beamforming applications by Roy Gueta, Elana Zion-Golumbic, Jacob Goldberger, Sharon Gannot

“…The first architecture leverages transfer learning. It is evaluated using both same-trial and cross-trial experiments. …”
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Improving quality of surgical and anaesthesia care in sub-Saharan Africa: a systematic review of hospital-based quality improvement interventions by Justine Davies, Nataliya Brima, Imran O Morhason-Bello, Andy JM Leather, Vandy Charles

“…Objectives To systematically review existing literature on hospital-based quality improvement studies in sub-Saharan Africa that aim to improve surgical and anaesthesia care, capturing clinical, process and implementation outcomes in order to evaluate the impact of the intervention and implementation learning.Design We conducted a systematic literature review and narrative synthesis.Setting Literature on hospital-based quality improvement studies in sub-Saharan Africa reviewed until 31 December 2021.Participants MEDLINE, EMBASE, Global Health, CINAHL, Web of Science databases and grey literature were searched.Intervention We extracted data on intervention characteristics and how the intervention was delivered and evaluated.Primary and secondary outcome measures Importantly, we assessed whether clinical, process and implementation outcomes were collected and separately categorised the outcomes under the Institute of Medicine quality domains. …”
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Expansion of supraglacial lake area, volume and extent on the Greenland ice sheet from 1985 to 2023 by Yubin Fan, Chang-Qing Ke, Lanhua Luo, Xiaoyi Shen, Stephen John Livingstone, James M. Lea

“…We leveraged spatiotemporally matched ICESat-2 and Landsat 8 reflectance data to develop a deep learning model for lake depth inversion for the period 2014–23. …”
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RETRACTED ARTICLE: Enhancing MPPT performance for partially shaded photovoltaic arrays through backstepping control with Genetic Algorithm-optimized gains by Serge Raoul Dzonde Naoussi, Kenfack Tsobze Saatong, Reagan Jean Jacques Molu, Wulfran Fendzi Mbasso, Mohit Bajaj, Mohamed Louzazni, Milkias Berhanu, Salah Kamel

“…The adaptability of the learning algorithm to specific conditions improves energy generation, even in the challenging environment of Maroua. …”
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Effect of a Stress-Management Intervention Based on Self-efficacy Theory for Enriching Marital Relationships and Sleep Quality in Primigravida Women by Zeinab Alizadeh, Farzaneh Noroozi, Mohammad Hossein Kaveh, Rosanna Cousins, Leila Ghahremani

“…The intervention group completed eight weekly one-hour stress-management training sessions using a blended learning approach. Data were collected using a survey administered before and immediately after the intervention. …”
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Development of a short version of the perceived social support scale: based on classical test theory and ant colony optimization by Yunchou Wu, Jingqi Tang, Zhuoran Du, Ke Chen, Fei Wang, Xiaonan Sun, Guoying Zhang, Yibo Wu

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Re-imagining education in Haiti through a lens of de-coloniality by Rudolph Damas

“…Purpose – Scholars such as Hebblethwaite (2012) argue that societal elements like the pressure for students to learn French in Haiti are deeply rooted in colonial traditions which were originally intended to hinder long-term development and continue to do so within the country. …”
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Implementing curriculum at Sekolah Rimba Indonesia by Imaanuddin Muhtar, Haliza Hanif, Winny Azwita Putri, Lisa Amelia

“…Through observation and analysis, this article explores how the Sekolah Rimba curriculum is designed to create a holistic and contextual learning environment. The findings show that the educational methods used at Sekolah Rimba improve students' academic understanding and shape their morals and ethics, resulting in individuals with noble character who make positive contributions to society. …”
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Perancangan Gim Edukasi Anak Usia Dini untuk Meningkatkan Pemahaman Pengenalan Angka by Abdiel Wahyu Ramadhyono, Eriq Muhammad Adams Jonemaro, Tri Afirianto

“…One of the most used teaching methods is “Learning While Playing” and the toys designed to help children’s development are called Educational Game Tools. …”
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