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Estimating the impacts of anthropogenic activities and climate change on species' spatial distributions is crucial for conservation. In this study, based on 62 valid occurrence records of and 24 environmental factors (19 climate factors, 4 topographic factors, and 1 human activity factor), we utilized the biomod2 combined model platform to predict suitable habitats for under two current scenarios (Scenario 1: natural state; Scenario 2: human interference state) and two future climate scenarios (SSP1-2.6 and SSP5-8.
View Article and Find Full Text PDFTopographic Analysis of the Periorbital Region Including Orbicularis Oculi Muscle Based on Ultrasonography Interpretation.
J Cosmet Dermatol
January 2025
Division in Anatomy and Developmental Biology, Department of Oral Biology, Human Identification Research Institute, BK21 FOUR Project, Yonsei University College of Dentistry, Seoul, South Korea.
Objective: Ultrasonographic examination is easy, fast, safe, and used in various fields; however, its application to the facial area has been limited. Complex anatomical structures are mixed within thin, soft tissues in the facial region; therefore, understanding their structural characteristics is crucial. This study aimed to use ultrasonography to obtain information on the layered structure and soft tissue thickness of the eye area around the orbicularis oculi muscle and provide guidance for clinical practice.
View Article and Find Full Text PDFPredictive value of enhanced corneal biomechanical parameters for ectasia progression.
Jpn J Ophthalmol
January 2025
Department of Ophthalmology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Purpose: To determine whether corneal biomechanical parameters can predict ectasia progression.
Study Design: Retrospective observational study.
Methods: The baseline corneal biomechanical parameters of 64 eyes of 41 young patients (age, < 25 years at the first visit) who were diagnosed with keratoconus (KC) or suspected KC at Osaka University Hospital and followed up for more than two years were reviewed.
Exploring the impact of natural and human activities on vegetation changes: An integrated analysis framework based on trend analysis and machine learning.
J Environ Manage
January 2025
School of Urban Planning and Design, Peking University, Shenzhen, 518055, China. Electronic address:
Climate, human activities and terrain are crucial factors influencing vegetation changes. Despite their crucial role, there is a notable lack of research exploring the nonlinear relationships between them and vegetation changes, especially over extended time series. This research integrates trend analysis with machine learning and SHAP technology, proposing a methodological analysis framework named Theil-Sen - Mann-Kendall - XGBoost - SHAP (TMXS), aiming to explore the nonlinear relationships between vegetation changes and their influencing factors.
View Article and Find Full Text PDFRelationship between infection and gastroesophageal reflux disease.
Prz Gastroenterol
December 2024
Department of Pathology, Detagen Pathology Laboratory, Kayseri, Turkey.
Introduction: Gastroesophageal reflux disease (GERD) is a common disease that negatively affects the quality of life, and its pathophysiology is multifactorial.
Aim: Our study aims to investigate the relationship between histological and topographic characteristics of () gastritis and the symptoms, presence, and severity of oesophagitis in patients with reflux symptoms.
Material And Methods: The symptoms, demographic data, and physical examination results of the patients admitted with gastrointestinal complaints were recorded and oesophagogastroduodenoscopies were performed.
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