An Alternative Approach For Teaching The Basic Dc-dc Converters By A Generalization Of The Basic Pwm Commutation Cell by Victor Leonardo Yoshimura

“…This procedure reduces the number of equations and waveforms to be studied. An interesting effect, only present in the boost converter, is the double region of continuous conduction mode (DRCCM). …”
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Effects of glycopyrronium bromide versus anisodamine hydrobromide in preventing nausea and vomiting and relieving spasm after ERCP: a randomized controlled trial by Qingjing Ma, Dina Sun, Yan Rao, Yi Yang, Jie Liu, Chunmu Miao, Guangyou Duan, Guizhen Chen, Jie Chen

“…Background Postoperative nausea and vomiting (PONV) frequently occur in patients undergoing endoscopic retrograde cholangiopancreatography (ERCP) under general anesthesia. Glycopyrronium bromide, an anticholinergic medication, is believed to not only relieve gastrointestinal spasms but also effectively prevent PONV. …”
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The Effects of Architectural-Structural Non-Conformance of the Reinforced Concrete Frame Buildings in the Preliminary Seismic Design Stage (State of the Art) by Sococol Ion, Mihai Petru, Petrescu Tudor-Cristian, Luca Bogdan-Ionel

“…The observations regarding the effects of the inadequate architectural-structural conformation of the MR RC Frame structures overlapped with examples of real structures executed in the Iasi area (Romania). …”
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Spatial-Spectral Linear Extrapolation for Cross-Scene Hyperspectral Image Classification by Lianlei Lin, Hanqing Zhao, Sheng Gao, Junkai Wang, Zongwei Zhang

“…Therefore, a model needs to be trained on one or more source domains (SD) and achieve robust domain generalization (DG) performance on an unknown target domain (TD). …”
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La escuela técnica y la pasantía en empresas. Aspectos generales sobre su puesta en acto y sus efectos en las expectativas laborales de los alumnos / Technical schools and internships in companies. general features on their enactment and their effects in by Yanina Débora Maturo

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Effectiveness of tailored talks between a cancer screening specialist and general practitioners to improve the uptake of colorectal cancer screening in Ancona (Italy) during the pandemic period by Cecilia Acuti Martellucci, Giusi Giacomini, Maria Elena Flacco, Lamberto Manzoli, Margherita Morettini, Mosè Martellucci, Sara Rosati, Silvia Bizzarri, Matthew Palmer, Lidia Pascucci, Marco Uncini, Francesca Pasqualini

“…Background Colorectal cancer (CRC) screening uptake in many countries has been low and further impacted by the COVID-19 pandemic. General Practitioners (GPs) are key facilitators, however research on their impact on organised CRC screening is still limited.Objectives To evaluate the effectiveness of tailored talks with GPs to increase population uptake of the long-established CRC screening programme in Ancona province, Italy.Methods In this prospective cohort study, one-to-one tailored talks were organised in January 2020 between the GPs of one county of the province (with GPs from other counties as controls) and the screening programme physician-in-chief to discuss the deployment and effectiveness of organised screening. …”
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Multiple Symptoms Study 3 – An extended-role general practitioner clinic for patients with persistent physical symptoms: a Randomised Controlled Trial by Christopher Burton, Cara Mooney, Laura Sutton, David White, Jeremy Dawson, Kate Fryer, Monica Greco, Michelle Horspool, Aileen Neilson, Gillian Rowlands, Tom Sanders, Ruth Thomas, Steve Thomas, Cindy Cooper, Jonathan Woodward, Emily Turton, Waquas Waheed, Pavi Kumar, Katie Ridsdale, Ellen Mallender, Vincent Deary

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Improving Generalization of ML-Based IDS With Lifecycle-Based Dataset, Auto-Learning Features, and Deep Learning by Didik Sudyana, Ying-Dar Lin, Miel Verkerken, Ren-Hung Hwang, Yuan-Cheng Lai, Laurens D'Hooge, Tim Wauters, Bruno Volckaert, Filip De Turck

“…While many studies focused on improving accuracy of ML-based IDS, true effectiveness lies in robust generalization: the ability to classify unseen data accurately. …”
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CART-ANOVA-Based Transfer Learning Approach for Seven Distinct Tumor Classification Schemes with Generalization Capability by Shiraz Afzal, Muhammad Rauf, Shahzad Ashraf, Shahrin Bin Md Ayob, Zeeshan Ahmad Arfeen

“…<b>Conclusions:</b> The CART-ANOVA hyperparameter tuning framework, combined with a ResNet18-based KTL approach, significantly improves brain tumor classification accuracy, robustness, and generalization. These advancements demonstrate strong potential for enhancing diagnostic precision and informing effective treatment strategies, contributing to advancements in medical imaging and AI-driven healthcare solutions.…”
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Potential carbon stock distribution of mangrove and synergistic effect of ecosystem services in China by Shuhao Liu, Shuai He, Shang Chen

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Toward Enhanced Adversarial Robustness Generalization in Object Detection: Feature Disentangled Domain Adaptation for Adversarial Training by Yoojin Jung, Byung Cheol Song

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A road generalization method using graph convolutional network based on mesh-line structure unit by Tianyuan Xiao, Tinghua Ai, Dirk Burghardt, Pengcheng Liu, Min Yang, Aji Gao, Bo Kong, Huafei Yu

“…The experimental results indicate that the proposed method effectively achieves automatic road generalization.…”
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Enhancing Generalization in Phishing URL Detection via a Fine-Tuned BERT-Based Multimodal Approach by Yi Wei, Masaya Nakayama, Yuji Sekiya

“…The proposed framework is evaluated through a series of extensive experiments and is thoroughly validated, with results across multiple cross-dataset evaluations demonstrating significant improvements in detection effectiveness and generalization capability.…”
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Improvement of generalization performance of diagnostic system for drill bit abnormality in rotary percussion drilling with grad-CAM by Yuna Nakazawa, Natsuo Okada, Jo Sasaki, Lesego Senjoba, Yoko Ohtomo, Youhei Kawamura

“…Previous models classified five distinct bit conditions but faced challenges in generalizing performance due to variations in the frequency bands used for judgments. …”
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Towards zero-shot learning in 3D change detection: improving generalization with custom augmentations and evaluation by Riccardo Contu, Valerio Marsocci, Virginia Coletta, Roberta Ravanelli, Simone Scardapane

“…It is thus essential to employ methods that can effectively retrieve both 2D and 3D changes over time. …”
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Reliability generalization Meta-Analysis and psychometric review of the Gaming Disorder test (GDT): Evaluating internal consistency by Haitham Jahrami, Waqar Husain, Chung-Ying Lin, Gunilla Björling, Marc N Potenza, Amir Pakpour

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A reliability generalization meta-analysis of Child Oral Impacts on Daily Performances (C – OIDP) questionnaire by Kalyana Chakravarthy Pentapati, Sravan Kumar Yeturu, Hanan Siddiq

“…Meta-analysis was performed using a random-effects model to derive a pooled estimate of Cronbach's alpha. …”
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A calibration framework toward model generalization for bacteria concentration estimation in water resource recovery facilities by Fahad Aljehani, Ibrahima N’Doye, Pei-Ying Hong, Mohammad Khalil Monjed, Taous-Meriem Laleg-Kirati

“…Although few studies have been proposed to predict bacterial concentrations using data-driven models, generalizing these models to unseen data from different WRRFs remains challenging. …”
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Learning Face Pareidolia via Global Feature Transfer by Usfita Kiftiyani, Seungkyu Lee

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Charting the course of depression care: a meta-analysis of reliability generalization of the patient health questionnaire (PHQ- 9) as the measure by Kenni Wojujutari Ajele, Erhabor Sunday Idemudia

“…Subgroup analyses examined the effects of administration modes, cultural adaptations, and study settings. …”
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