Diff-Tree: A Diffusion Model for Diversified Tree Point Cloud Generation with High Realism by Haifeng Xu, Yongjian Huai, Xiaoying Nie, Qingkuo Meng, Xun Zhao, Xuanda Pei, Hao Lu

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Using unmanned aerial vehicles to estimate body volume at scale for ecological monitoring by Thomas C. Stone, Katrina J. Davis

Subjects: “…demographic data…”
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Early Postseismic Deformation of the 2010 Mw 6.9 Yushu Earthquake and Its Implication for Lithospheric Rheological Properties by Yunguo Chen, Yan Hu, Liang Qian, Guojie Meng

Subjects: “…GPS data…”
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Association of socioeconomic and lifestyle factors with prevalence of diabetes in rural southwest China: a structural equation modelling approach by Lan Liu, Le Cai, Xia Wu, Guo-hui Li, Allison Rabkin Golden, Zi-Zi Yu, Du-Li Liu, Xiang-Yang Yin

“…Objectives This study aimed to investigate the prevalence of diabetes using structural equation modelling (SEM) to examine the pathways and associations of socioeconomic and lifestyle factors on diabetes in rural southwest China.Design Data were collected from a cross-sectional health interview and examination survey among individuals aged ≥35 years in rural southwest China. …”
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Machine learning for classification of pediatric bipolar disorder with and without psychotic symptoms based on thalamic subregional structural volume by Weijia Gao, Kejing Zhang, Qing Jiao, Linyan Su, Dong Cui, Shaojia Lu, Rongwang Yang

“…Methods Participants including 28 P-PBD, 26 NP-PBD, and 18 healthy controls (HCs) underwent structural magnetic resonance imaging (sMRI) scanning using a 3.0T MRI scanner. …”
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Combining long-read DNA and RNA sequencing to enhance molecular understanding of structural variations leading to copy gains by Jade Fauqueux, Jean-Pascal Meneboo, Roseline Caumes, Luc Thomès, Emilie Ait Yahya, Caroline Thuillier, Elise Boudry, Celine Villenet, Martin Figeac, Jamal Ghoumid, Thomas Smol

“…Structural variants (SVs) significantly contribute to human disease, but their complexity often makes accurate characterization difficult with conventional methods. …”
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Psychometric evaluation of DASS versions among Spanish and Chinese teachers using exploratory structural equation modeling (ESEM) by Xue-heng Zhou, Zi-Zheng Shen, Cui-Hong Cao, Xiao-Ling Liao, Xing-Yong Jiang, Mark D. Griffiths, I-Hua Chen, Chung-Ying Lin, Olga Malas

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Hemoglobin level and common mental disorder among school adolescent girls in Central Ethiopia: Structural Equation Model by Shemsu Kedir, Kalkidan Hassen Abate, Bekri Mohammed, Behre Dari Mosa, Yasin Awol Wabe, Kalid Sherefa Reshid, Legese Petros, Musa Jemal, Beyene Wondafrash Ademe

“…Hemoglobin level was adjusted for altitude, while CMD was evaluated utilising the summation score of a 20‐item Self‐Reporting Questionnaire. Data were analysed through fitting Structural Equation Model and the maximum likelihood estimation method. …”
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Discovery, structural characteristics and evolutionary analyses of functional domains in Acinetobacter baumannii phage tail fiber/spike proteins by Shenshen Liu, Tao Lei, Yujing Tan, Xiaoyi Huang, Wenxin Zhao, Huanhuan Zou, Jianhui Su, Ji Zeng, Haiyan Zeng

“…Conclusions This research deepens the understanding of the relationship between A. baumannii phage genera and the functional domains within their tail fiber/spike proteins, emphasizing the compatibility between structural characteristics and functional roles. The data obtained could serve as a reference for the targeted modification of phages or their tail fiber/spike proteins, enhancing their therapeutic applications.…”
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Development of a Comprehensive Model for Predicting Stock Prices in the Stock Market Using an Interpretive Structural Modeling Approach by Shiva Rezaeyan, Mohammad Taleghani, Azita Sherejsharifi

“…ObjectiveThis study aims to create a comprehensive stock price prediction model for the Tehran Stock Exchange by employing both fuzzy Delphi and interpretive structural modeling techniques. The research is innovative in that it incorporates all relevant factors from technical, fundamental, macroeconomic, and sentiment perspectives for stock price forecasting. …”
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BioStruct-Africa’s capacity building workshops as a model for advancing the emerging community of structural biologists in Africa by Safiétou Sankhe, Fatoumata G. Fofana, Walid Heiba, Oludare M. Ogunyemi, Kabo Masisi, Irene Muiruri, Eunice A. Abaah, Arnaud Tepa, Chi Tchampo Fru, Joel T. Johnson, Claire V. Tchuenguia, Nelly M. T. Tatchou-Nebangwa, Desmon T. Tsafack, Brice L. Koloko, Tessy-Koko Kulu-Abi, Ivana Ngounou, Toussaint S. D. Sovegnon, Rolin Mitterran N. Kamga, Mersimine F. M. Kouamo, Yeshimebet C. Getahun, Aurélien F. A. Moumbock, Katharina C. Cramer, Nicolas V. Rüffin, Louise Djapgne, Piotr Sliz, Jamaine Davis, Michel N. Fodje, Julia J. Griese, Emmanuel Nji

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SVLearn: a dual-reference machine learning approach enables accurate cross-species genotyping of structural variants by Qimeng Yang, Jianfeng Sun, Xinyu Wang, Jiong Wang, Quanzhong Liu, Jinlong Ru, Xin Zhang, Sizhe Wang, Ran Hao, Peipei Bian, Xuelei Dai, Mian Gong, Zhuangbiao Zhang, Ao Wang, Fengting Bai, Ran Li, Yudong Cai, Yu Jiang

“…Abstract Structural variations (SVs) are diverse forms of genetic alterations and drive a wide range of human diseases. …”
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A specialized reference panel with structural variants integration for improving genotype imputation in Alzheimer disease and related dementias by Po-Liang Cheng, Hui Wang, Beth A. Dombroski, John J. Farrell, Iris Horng, Tingting Chung, Giuseppe Tosto, Brian W. Kunkle, William S. Bush, Badri Vardarajan, Gerard D. Schellenberg, Wan-Ping Lee

“…Recognizing the importance of associations between structural variants (SVs) and AD and their underrepresentation in existing public reference panels, our panel uniquely integrates single-nucleotide variants (SNVs), short insertions or deletions (indels), and SVs. …”
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Quantitative and structural features of the SMN1 and SMN2 genes in patients with spinal muscular atrophy 5q by A. I. Vlasenko, V. D. Nazarov, S. V. Lapin, A. V. Mazing, E. A. Surkova, T. V. Blinova, T. M. Alekseeva

“…Description of quantitative and structural features of the SMN1 and SMN2 genes in patients with SMA 5q.Materials and methods. …”
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The mediating role of daily living ability and sleep in depression and cognitive function based on a structural equation model by Liu Huijun, Zhang Xiange, Yang Ming, Sun Jiayi, Peng Juanjuan, Xu Wangquan, Song Yueli, Fang Guixia

“…Pearson correlation analysis was employed to test the relationship between depression symptoms, cognition, poor sleep quality and daily living ability of the elderly. The structural equation model was used to explore the link between depression and cognition in the older adults, and to test mediating effects of daily activity and sleep disturbance on depression and cognition. …”
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Cardiovascular risk burden, dementia risk and brain structural imaging markers: a study from UK Biobank by Ting Li, Jing Chen, Yan Zheng, Klodian Dhana, Geng Zong, Yuan Ma, Trudy Voortman, Wei Gan, Yaying Cao, Yonghua Hu, Changzheng Yuan, Jie Shen, Gaohong Zhu, Chengwu Feng

“…Background Cardiovascular risk burden is associated with dementia risk and neurodegeneration-related brain structure, while the role of genetics and incident cardiovascular disease (CVD) remains unclear.Aims To examine the association of overall cardiovascular risk burden with the risk of major dementia subtypes and volumes of related brain regions in a large sample, and to explore the role of genetics and CVD onset.Methods A prospective study among 354 654 participants free of CVD and dementia (2006–2010, mean age 56.4 years) was conducted within the UK Biobank, with brain magnetic resonance imaging (MRI) measurement available for 15 104 participants since 2014. …”
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Exploring effector-host interactions in Pyricularia oryzae infections: A molecular and structural approach to rice blast resistance by Zakir Amin, F.A. Mohiddin, Ali Anwar, Asif B. Shikari, Sajad Un Nabi, Tauseef A. Bhat, Vishal Gupta, Fehim Jeelani Wani, Shugufta Parveen, Mohd Salim Mir, Subaya Manzoor, Suhail Ashraf, Mohammad Raish

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Radiomics prediction of MGMT promoter methylation in adult diffuse gliomas: a combination of structural MRI, DCE, and DTI by Yuying Liu, Yuying Liu, Zhengyang Zhu, Jianan Zhou, Han Wang, Huiquan Yang, Jinfeng Yin, Yitong Wang, Xin Li, Futao Chen, Qian Li, Zhuoru Jiang, Xi Wu, Danni Ge, Yi Zhang, Xin Zhang, Bing Zhang, Bing Zhang, Bing Zhang, Bing Zhang, Bing Zhang

“…PurposeTo assess the predictive value of radiomics features extracted from structural MRI, dynamic contrast enhanced (DCE), and diffusion tensor imaging (DTI) in detecting O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation in patients with diffuse gliomas.MethodsRetrospective MRI data of 110 patients were enrolled in this study. …”
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An in-depth exploration of four heterogeneity structure-based EGFR mutation subgroups in Chinese non-small cell lung cancer by Yongfeng Yu, Fei Yao, Jin Wang, Zhan Huang, Tao Hu, Changbin Zhu, Shun Lu

“…Abstract Background EGFR mutations have been classified into four functional subgroups (Classical-like, P-loop and αC-helical compressing (PACC), T790M-like, and exon 20 loop insertions) based on their influence on EGFR protein structure, as well as response to various types of EGFR-tyrosine kinase inhibitors (TKIs). …”
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Risk factors for anastomotic structural malhealing after laparoscopic intersphincteric resection for rectal cancer and its impact on prognosis by Hu Gang, Liu Junguang, Li Bo, Wang Yuhan, Qiu Wenlong, Mei Shiwen, Quan Jichuan, Zhuang Meng, Tang Jianqiang

“…[Objectives] To investigate the risk factors for anastomotic structural malhealing after laparoscopic intersphincteric resection (lap-ISR) for rectal cancer and its impact on patient prognosis. …”
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