Results 111 to 120 of about 123,972 (304)

Inconsistent Transcriptomic Responses to Hexabromocyclododecane in Japanese Quail: A Comparative Analysis of Results From Four Different Study Designs

Environmental Toxicology and Chemistry, EarlyView.
Abstract Efforts to use transcriptomics for toxicity testing have classically relied on the assumption that chemicals consistently produce characteristic transcriptomic signatures that are reflective of their mechanism of action. However, the degree to which transcriptomic responses are conserved across different test methodologies has seldom been ...
Paul Béziers, Elena Legrand, Emily Boulanger, Niladri Basu, Jessica D. Ewald, Paula Henry, Markus Hecker, Jianguo Xia, Natalie Karouna‐Renier, Doug Crump, Jessica Head   +10 more
wiley   +1 more source

Leveraging Machine Learning to Predict Food Waste Quantity: Focusing on Military Dining Facilities as Large‐Scale Food Service Operations

Journal of Forecasting, EarlyView.
ABSTRACT Food waste reveals inefficiencies in resource use and contributes significantly to environmental pollution. In the United States, food waste accounts for the majority of total waste, with more than 50 million tons generated annually. In military units that operate large‐scale institutional food‐service facilities and generate significant food ...
YongSun Kim, Hyun Shik Yoon
wiley   +1 more source

Progress of metabolomics‐centric multi‐omics research in medicine

iMetaOmics, EarlyView.
The graphical abstract illustrates a holistic roadmap for metabolomics‐centric multi‐omics integration in medical research. The upper panel depicts the technological transition from traditional bulk analysis to high‐resolution single‐cell and spatial methodologies, specifically addressing inherent challenges such as molecular complexity and dynamic ...
Ziyi Wang, Shiwen Deng, Xiaoxu Wang, Xiao Chang, Na Guo, Peng Chen, Hongjun Yang   +6 more
wiley   +1 more source

“Perpetrator Trauma” in Memoirs of Veterans of the Polish Home Army

, 2021
This chapter discusses the representations of the trauma of the perpetrators in the autobiographical narratives of the veterans of the Polish resistance movement during World War II. The category of trauma is discussed within the relationship between the public discourse and the autobiographies published over the last three decades by Polish Home Army ...
openaire   +2 more sources

Deep learning‐based prediction of cervical lymph node metastasis and genetic alterations from whole‐slide images of thyroid cancer frozen sections

Interdisciplinary Medicine, EarlyView.
Deep learning models accurately predict cervical lymph node metastasis and key genetic mutations (BRAF/TERT) directly from thyroid cancer frozen sections. This AI‐driven pipeline provides a rapid real‐time tool to guide intraoperative surgical decisions, helping to optimize surgical extent and prevent both over‐ and under‐treatment without the need for
Mingxing Qiu, Jinbang Li, Shujing Guo, Danyi Li, Chengyu Lu, Chenglong Zhao, Jiankun He, Hanxi Wang, Qiao Bai, Aihetaimu Aimaier, Zhijian Cen, Rui Mao, Zimo Ye, Jiaxue Zang, Zhining Zhuo, Lijuan Qu, Yueping Liu, Jing Cui, Xiaohong Yao, Xiuwu Bian, Li Liang   +20 more
wiley   +1 more source

Efficient First‐Principles Inverse Design of Nanolasers

Laser &Photonics Reviews, EarlyView.
This article introduces a first‐principles inverse‐design framework for nanolasers that directly incorporates nonlinear lasing physics. By unifying steady‐state ab‐initio laser theory (SALT) with topology optimization, it reveals how spatial hole burning, gain saturation, and cavity‐emitter coupling shape laser performance, enabling efficient discovery
Beñat Martinez de Aguirre Jokisch, Alexander Cerjan, Rasmus Ellebæk Christiansen, Jesper Mørk, Ole Sigmund, Steven G. Johnson   +5 more
wiley   +1 more source

White Adipose Tissue Browning and Cross Talk With Metabolic Diseases and Tumors: From Molecular Mechanisms to Clinical Translation

Med Research, EarlyView.
White adipose tissue undergoes browning under endogenous and exogenous stimuli, primarily regulated by core molecules such as PRDM16 and UCP1. It exhibits a double‐edged sword effect in metabolic diseases and tumors: while mitigating metabolic disease impacts and suppressing early‐stage tumors through nutritional competition, it may accelerate cachexia
Yingjiao Wang, Diyuan Zhang, Yuqin Zhou, Ling Qian, Yan Wang, Lei Peng, Min Zhao, Hao Tian, Zhenyu Wu, Aiqi Tang, Minghao Sun, Yi Zhang, Xiaowei Qi   +12 more
wiley   +1 more source

Latvian Periodicals about Lithuanian Army Battles in the Vicinity of Daugavpils (June, 1919 – January, 1920)

Acta Humanitarica Academiae Saulensis
Lithuanian, Polish and Latvian armies participated in driving the Bolsheviks out of the vicinity of Daugavpils. The Latvian press of that time is a serious source for investigating these events. In 1919, 65 editions – newspapers, journals, magazines and
Henrichs Soms
doaj   +1 more source

Directions in research of the oldest Polish press (1501–1729) [PDF]

, 2012
This article contains a brief overview of the research on Polish press from the years 1501–1729, and discusses its directions and results conducted by historians and press experts after 1945.
Kolasa, Władysław Marek
core  

Nanjing Consensus II on Washed Microbiota Transplantation: Statements From the CHINAGUT Conference

Microbiota Medicine Research, EarlyView.
ABSTRACT The new method of fecal microbiota transplantation, based on automatic facilities and washing processes, was coined as washed microbiota transplantation (WMT). The first recommendations on WMT were released as Nanjing Consensus report by the fecal microbiota transplantation (FMT)‐standardization Study Group in 2019.
Faming Zhang, Sunny Hei Wong, Gaochen Lu, Zheshun Pi, Ting Zhang, Hon Ho Yu, Nan Bu, Xiong Chen, Bota Cui, Dafa Ding, Hainv Gao, Suyu He, Xingxiang He, Shengjuan Hu, Jia Hu, Yunlian Hu, Xiaomeng Jiang, Jiang Jin, Jingnan Li, Pan Li, Juan Liao, Weiwei Liao, Jiang Liu, Ling Liu, Yaping Liu, Yanyan Liu, Yu Liu, Muhan Lv, Xiangjun Meng, Yongzhan Nie, Qian Ren, Lixuan Sang, Yang Sun, Xiaowen Tang, Liangjing Wang, Wei Wang, Xin Wang, Yanling Wei, Quan Wen, Lihao Wu, Xia Wu, Fang Xiao, Lijing Xiong, Shaoqi Yang, Song Yang, Guoliang Ye, Yue Zeng, Huihong Zhai, Xiaoqian Zhang, Yu Zhang, Kun Zhao, Li Zhou, Li Zhu, Kaichun Wu   +53 more
wiley   +1 more source