Spectrometer-Less Remote Sensing Image Classification Based on Gate-Tunable van der Waals Heterostructures
Adv Sci (Weinh). 2024 Apr 12:e2309781. doi: 10.1002/advs.202309781. Online ahead of print.ABSTRACTRemote sensing technology, which conventionally employs spectrometers to capture hyperspectral images, allowing for the classification and unmixing based on the reflectance spectrum, has been extensively applied in diverse fields, including environmental monitoring, land resource management, and agriculture. However, miniaturization of remote sensing systems remains a challenge due to the complicated and dispersive optical components of spectrometers. Here, m-phase GaTe0.5Se0.5 with wide-spectral photoresponses (250-1064 nm) a...
Source: Adv Data - April 13, 2024 Category: Epidemiology Authors: Yali Yu Mianzeng Zhong Tao Xiong Jian Yang Pengwei Hu Haoran Long Ziqi Zhou Kaiyao Xin Yue-Yang Liu Juehan Yang Jianzhong Qiao Duanyang Liu Zhongming Wei Source Type: research
Integrative analysis of senescence-related genes identifies robust prognostic clusters with distinct features in hepatocellular carcinoma
CONCLUSION: Our findings provide insights into the role of SRGs in patients stratification and precision medicine.PMID:38614215 | DOI:10.1016/j.jare.2024.04.007 (Source: Adv Data)
Source: Adv Data - April 13, 2024 Category: Epidemiology Authors: Sicheng Liu Yang Meng Yaguang Zhang Lei Qiu Xiaowen Wan Xuyang Yang Yang Zhang Xueqin Liu Linda Wen Xue Lei Bo Zhang Junhong Han Source Type: research
Spectrometer-Less Remote Sensing Image Classification Based on Gate-Tunable van der Waals Heterostructures
Adv Sci (Weinh). 2024 Apr 12:e2309781. doi: 10.1002/advs.202309781. Online ahead of print.ABSTRACTRemote sensing technology, which conventionally employs spectrometers to capture hyperspectral images, allowing for the classification and unmixing based on the reflectance spectrum, has been extensively applied in diverse fields, including environmental monitoring, land resource management, and agriculture. However, miniaturization of remote sensing systems remains a challenge due to the complicated and dispersive optical components of spectrometers. Here, m-phase GaTe0.5Se0.5 with wide-spectral photoresponses (250-1064 nm) a...
Source: Adv Data - April 13, 2024 Category: Epidemiology Authors: Yali Yu Mianzeng Zhong Tao Xiong Jian Yang Pengwei Hu Haoran Long Ziqi Zhou Kaiyao Xin Yue-Yang Liu Juehan Yang Jianzhong Qiao Duanyang Liu Zhongming Wei Source Type: research
Integrative analysis of senescence-related genes identifies robust prognostic clusters with distinct features in hepatocellular carcinoma
CONCLUSION: Our findings provide insights into the role of SRGs in patients stratification and precision medicine.PMID:38614215 | DOI:10.1016/j.jare.2024.04.007 (Source: Adv Data)
Source: Adv Data - April 13, 2024 Category: Epidemiology Authors: Sicheng Liu Yang Meng Yaguang Zhang Lei Qiu Xiaowen Wan Xuyang Yang Yang Zhang Xueqin Liu Linda Wen Xue Lei Bo Zhang Junhong Han Source Type: research
Development and validation of machine learning models to predict frailty risk for elderly
CONCLUSION: Our study developed a preliminary prediction model based on two different ML approaches to help predict frailty risk in the elderly.IMPACT: The presented models from this study can be used to inform healthcare providers to predict the frailty probability among older adults and maybe help guide the development of effective frailty risk management interventions.IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: Detecting frailty at an early stage and implementing timely targeted interventions may help to improve the allocation of health care resources and to reduce frailty-related burden. Identifying risk facto...
Source: Adv Data - April 12, 2024 Category: Epidemiology Authors: Wei Zhang Junchao Wang Fang Xie Xinghui Wang Shanshan Dong Nan Luo Feng Li Yuewei Li Source Type: research
Assessment of central nervous system vasculitis in children based on high-resolution vascular wall imaging
CONCLUSION: This study underscores the diagnostic value of HR-VWI in CNSV assessment and treatment monitoring, offering a quantitative evaluation of CNSV in children.PMID:38605731 | PMC:PMC11009033 | DOI:10.1093/rap/rkae038 (Source: Adv Data)
Source: Adv Data - April 12, 2024 Category: Epidemiology Authors: Yimin Cao Yue Sun Zexi Yi Weixin Meng Xueying Zhao Xuran Feng Pingyong Feng Sicong Wang Mingfeng Zhang Lixia Zhou Source Type: research
Second phase Cu < sub > 2 < /sub > O boosted photocatalytic activity of fluorine doped CuO nanoparticles
RSC Adv. 2024 Apr 11;14(17):11677-11693. doi: 10.1039/d3ra08790e. eCollection 2024 Apr 10.ABSTRACTThe photocatalytic activity of fluorine (F) doped CuO nanoparticles (NPs) prepared employing modified sol-gel process was investigated here in this study. Structural and elemental characterization using XRD and XPS data confirmed successful incorporation of F as dopant. F doping led to lattice distortion and reduced crystallinity with smaller crystallite size while promoting the emergence of Cu2O as the second phase. Morphological analysis showed irregularly shaped, fused particles with a decreasing particle size trend upon do...
Source: Adv Data - April 12, 2024 Category: Epidemiology Authors: Ankita Dastider Hridoy Saha Md Jannatul Ferdous Anik Moniruzzaman Jamal Md Muktadir Billah Source Type: research
Autoimmune comorbidities associated with sarcoidosis: a case-control study in the All of Us research program
CONCLUSION: We demonstrate an association between sarcoidosis and multiple autoimmune diseases in a large and diverse cohort based in the USA. These results underscore the need for careful screening of sarcoidosis patients for concomitant autoimmune disease.PMID:38606002 | PMC:PMC11007907 | DOI:10.1093/rap/rkad030 (Source: Adv Data)
Source: Adv Data - April 12, 2024 Category: Epidemiology Authors: Michael J Murphy Princess Edemobi Audrey C Leasure Mridu Gulati Edward J Miller William Damsky Jeffrey M Cohen Source Type: research
Reactive cutaneous capillary endothelial proliferation following camrelizumab monotherapy or combination therapy for multi-cancers: a large-scale pooled analysis of 10 studies in China
CONCLUSION: Although RCCEP occurred frequently with camrelizumab, most lesions were mild and self-limiting. The occurrence of RCCEP was strongly associated with the antitumor activity and survival of camrelizumab, both as monotherapy and in combination therapy.PMID:38606164 | PMC:PMC11008344 | DOI:10.1177/17588359241242607 (Source: Adv Data)
Source: Adv Data - April 12, 2024 Category: Epidemiology Authors: Wenshu Qu Feng Wang Shukui Qin Yuqi Sun Chuanpei Huang Source Type: research
Text-mining-based feature selection for anticancer drug response prediction
In this study, we utilize features (genes) extracted using the text-mining of scientific literatures. Using two independent cancer pharmacogenomic datasets, we demonstrate that text-mining-based features outperform traditional feature selection techniques in machine learning tasks. In addition, our analysis reveals that text-mining feature-based machine learning models trained on in vitro data also perform well when predicting the response of in vivo cancer models. Our results demonstrate that text-mining-based feature selection is an easy to implement approach that is suitable for building machine learning models for anti...
Source: Adv Data - April 12, 2024 Category: Epidemiology Authors: Grace Wu Arvin Zaker Amirhosein Ebrahimi Shivanshi Tripathi Arvind Singh Mer Source Type: research
Adapting beyond borders: Insights from the 19th Student Council Symposium (SCS2023), the first hybrid ISCB Student Council global event
Bioinform Adv. 2024 Apr 3;4(1):vbae028. doi: 10.1093/bioadv/vbae028. eCollection 2024.ABSTRACTSUMMARY: The 19th ISCB Student Council Symposium (SCS2023) organized by ISCB-SC adopted a hybrid format for the first time, allowing participants to engage in-person in Lyon, France, and virtually via an interactive online platform. The symposium prioritized inclusivity, featuring on-site sessions, poster presentations, and social activities for in-person attendees, while virtual participants accessed live sessions, interactive Q&A, and a virtual exhibit hall. Attendee statistics revealed a global reach, with Europe as the maj...
Source: Adv Data - April 12, 2024 Category: Epidemiology Authors: Syed Muktadir Al Sium Estefania Torrej ón Sanjana Fatema Chowdhury Rubaiat Ahmed Aakriti Jain Mirko Treccani Laura Veschetti Arsalan Riaz Pradeep Eranti Gabriel J Olgu ín-Orellana Source Type: research
Extending BioMASS to construct mathematical models from external knowledge
Bioinform Adv. 2024 Apr 4;4(1):vbae042. doi: 10.1093/bioadv/vbae042. eCollection 2024.ABSTRACTMOTIVATION: Mechanistic modeling based on ordinary differential equations has led to numerous findings in systems biology by integrating prior knowledge and experimental data. However, the manual curation of knowledge necessary when constructing models poses a bottleneck. As the speed of knowledge accumulation continues to grow, there is a demand for a scalable means of constructing executable models.RESULTS: We previously introduced BioMASS-an open-source, Python-based framework-to construct, simulate, and analyze mechanistic mod...
Source: Adv Data - April 12, 2024 Category: Epidemiology Authors: Kiwamu Arakane Hiroaki Imoto Fabian Ormersbach Mariko Okada Source Type: research
Understanding Deep Gradient Leakage via Inversion Influence Functions
Adv Neural Inf Process Syst. 2023 Dec;36:3921-3944.ABSTRACTDeep Gradient Leakage (DGL) is a highly effective attack that recovers private training images from gradient vectors. This attack casts significant privacy challenges on distributed learning from clients with sensitive data, where clients are required to share gradients. Defending against such attacks requires but lacks an understanding of when and how privacy leakage happens, mostly because of the black-box nature of deep networks. In this paper, we propose a novel Inversion Influence Function (I2F) that establishes a closed-form connection between the recovered i...
Source: Adv Data - April 12, 2024 Category: Epidemiology Authors: Haobo Zhang Junyuan Hong Yuyang Deng Mehrdad Mahdavi Jiayu Zhou Source Type: research
Machine Learning to Promote Efficient Screening of Low-Contact Electrode for Two-Dimensional Semiconductor Transistor Under Limited Data
This article is protected by copyright. All rights reserved.PMID:38606800 | DOI:10.1002/adma.202312887 (Source: Adv Data)
Source: Adv Data - April 12, 2024 Category: Epidemiology Authors: Penghui Li Linpeng Dong Chong Li Yan Li Jie Zhao Bo Peng Wei Wang Shun Zhou Weiguo Liu Source Type: research
Predictors of fall protection motivation among older adults in rural communities in a middle-income country: A cross-sectional study using the Protection Motivation Theory
CONCLUSION: Findings from this study demonstrated that coping appraisal and fear predict the protection motivation of older adults in rural communities. Older adults without a history of falls and attaining higher education had better responses in coping appraisal, contributing to a reduction in perceived rewards and improving protection motivation. Conversely, older adults from lower education backgrounds tend to have higher non-preventive behaviours, leading to a decline in fall protection motivation.IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: These results contribute important information to nurses working with...
Source: Adv Data - April 12, 2024 Category: Epidemiology Authors: Mei Fong Ong Kim Lam Soh Rosalia Saimon Hasni Idayu Saidi Ing Khieng Tiong Wai Wai Myint Manfred Mortell Salimah Japar Source Type: research
