Results 81 to 90 of about 53,473 (249)

Strategy of Triple‐Gradient in Binary Pixels for Flexible Pressure Sensing with High Sensitivity and Wide‐Range Linearity

Advanced Science, EarlyView.
A flexible pressure sensor with triple‐gradient design of conductivity, modulus, and dimension in binary micro‐dome pixels is proposed. Based on precisely‐designed CNT/PDMS matrix, the device exhibits a linear sensitivity of 974.1 kPa−1 across range up to 1.8 MPa (R2 > 0.99), offering an effective strategy for potential applications in healthcare ...
Yifan Liu, Xiao Xu, Fengming Hu, Yuanzhe Liang, Zidong Yin, Biao Qi, Ruolin Liu, Ziyi Dai, Jianyi Luo, Bingpu Zhou   +9 more
wiley   +1 more source

Selection of a statistical software in the

GMS Medizinische Informatik, Biometrie und Epidemiologie, 2008
Based on the major revision of the regulation for the licence to practice medicine (ÄAppO) we adapted teaching in medical biometry. The so-called “teaching project Biometry” is intended to give basics of biometry to the students by using computer methods.
Babik, Tillmann, Muche, Rainer
doaj  

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

Advanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao, Na Zhou, Ruotong Liu, Xiaofei Li, Jian Li, Fuzhong Xue, Qingzhen Hou   +6 more
wiley   +1 more source

Agreement between CRL biometry and the Dubowitz method.

, 2015
GA: gestational age. Reference standard: crown-rump length (CRL) biometry. True gestational age determined from CRL biometry. The thick black lines represent the mean bias of the Dubowitz method in reference to CRL biometry; the thin grey lines represent
Sasithon Pukrittayakamee (101751), Lisa J. White (101780), Julie A. Simpson (242873), Saw Lu Moo Dwell (720916), Marcus J. Rijken (170994), Kerryn A. Moore (761500), Jacher Wiladphaingern (171011), François Nosten (17237), Moo Kho Paw (591180), Freya J. I. Fowkes (136816), Kyla H. Thomas (761501), Rose McGready (17231)   +11 more
core   +1 more source

NICE: A Two‐Step Non‐Invasive Framework for Embryo cfDNA Read Enrichment and Quality Assessment

Advanced Science, EarlyView.
The non‐invasive NICE framework, built on an ensemble stacking machine learning model, prioritizes embryos by analyzing cell‐free DNA from spent culture medium. By integrating multimodal signals, including genomic and epigenetic profiles, this automated approach standardizes morphological assessment without human bias, paving the way for more precise ...
Xueya Zhou, Shu Ding, Zhenyi Zhang, Qiaoling Shangguan, Jie Qiao, Peijie Zhou, Yidong Chen   +6 more
wiley   +1 more source

The biometrical analyses of intercropping experiments : some practical aspects with the reference to Indonesian intercropping experiments / Waego Hadi Nugroho

, 1984
Bibliography: leaves 250-264xx. 264, [47] leaves : ill ; 30 cm.Thesis (Ph.D.)--University of Adelaide, Dept.
Nugroho, Waego Hadi
core  

Agreement between CRL biometry and the SFH formula.

, 2015
Reference standard: crown-rump length (CRL) biometry. SFH: symphysis-fundal height. True gestational age determined from CRL biometry. Thick black lines represent the mean bias of the SFH formula in reference to CRL biometry; the thin grey lines ...
Sasithon Pukrittayakamee (101751), Lisa J. White (101780), Julie A. Simpson (242873), Saw Lu Moo Dwell (720916), Marcus J. Rijken (170994), Kerryn A. Moore (761500), Jacher Wiladphaingern (171011), François Nosten (17237), Moo Kho Paw (591180), Freya J. I. Fowkes (136816), Kyla H. Thomas (761501), Rose McGready (17231)   +11 more
core   +1 more source

Structural Divergence Between the Moltbook AI‐Agent Network and Human Social Networks

Advanced Science, EarlyView.
Analysis of the Moltbook AI‐agent network reveals a striking combination of familiar global scaling and distinct internal organization. Attention is highly concentrated, reciprocity is limited, connected triads are suppressed, and communities are strongly modular.
Wenpin Hou, Zhicheng Ji
wiley   +1 more source

Integrated Multi‐Omics Reveals Cellular States and Microenvironmental Remodeling in Coexisting DCIS and IDC

Advanced Science, EarlyView.
Coexisting DCIS and IDC samples are profiled using spatial transcriptomics, single‐cell RNA sequencing, and single‐cell DNA sequencing. Integrative multi‐omics analysis reveals distinct malignant epithelial and microenvironmental features between DCIS and IDC, which are further validated using Xenium and multiplex immunohistochemistry.
Ning Zhang, Tong Wan, Siyue Zhang, Yunzhen Jiang, Peng Su, Jixin Liu, Zhitong Chen, Jie Hao, Haoyu Wang, Bing Chen, Wenjing Zhao, Lijuan Wang, Tao Xing, Qihuang Zhang, Ulf Schmitz, Zhiyong Ding, Nicola Crosetto, Bingqiang Liu, Qifeng Yang   +18 more
wiley   +1 more source

Spreadsheet tools for biometry classes in crop science programmes

, 2014
Teaching biometry to undergraduate students in crop science or similar programmes may be a challenging task, as these students show a small background in mathematics and computer programming and are mainly interested in practical applications.
PANNACCI, Euro, ONOFRI, Andrea
core