Results 81 to 90 of about 356,775 (282)

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Quantifying South Africa’s sulphur dioxide emission efficiency in coal-powered electricity generation by fitting the three-parameter log-logistic distribution

Journal of Energy in Southern Africa, 2017
This paper fits the three-parameter log-logistic (3LL) distribution to sulphur dioxide (SO2) monthly emissions in kilograms per gigawatt hour (kg/GWh) and in milligrams per cubic nano metre (mg/Nm3), at 13 of Eskom’s coal fired power-generating stations ...
Maseapei Elizabeth Girmay, Delson Chikobvu   +1 more
doaj   +1 more source

On Transmuted Four Parameters Generalized Log-Logistic Distribution [PDF]

International Journal of Statistical Distributions and Applications, 2019
In this article we transmute the four parameters generalized log-logistic distribution using quadratic rank transmutation map to develop a transmuted four parameters generalized log-logistic distribution. The quadratic rank transmutation map helps to introduce extra parameter into the baseline distribution to enhance more flexibility in the analysis of
openaire   +1 more source

A New Gamma Generalized Lindley-Log- logistic Distribution with Applications

Afrika Statistika, 2020
A new distribution called the gamma exponentiated Lindley Log-logistic (GELLLoG) distribution is developed. Some properties of the new distribution including hazard function, quantile function, moments, conditional moments, mean and median deviations, Bonferroni and Lorenz curves, distribution of the order statistics and Réenyi entropy are derived ...
OLUYEDE, Broderick Olusegun, MOAKOFI, Thatayaone, MAKUBATE, Boikanyo   +2 more
openaire   +3 more sources

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

An empirical soil water retention model based on probability laws for pore‐size distribution

Vadose Zone Journal, 2020
Knowledge of the soil water retention curve (SWRC) is critical to mathematical modeling of soil water dynamics in the vadose zone. Traditional SWRC models were developed based on bundles of cylindrical capillaries (BCCs) using a residual water content ...
Wenjuan Zheng, Chongyang Shen, Lian‐Ping Wang, Yan Jin   +3 more
doaj   +1 more source

Generalized Extreme Value Regression for Binary Rare Events Data: an Application to Credit Defaults [PDF]

The most used regression model with binary dependent variable is the logistic regression model. When the dependent variable represents a rare event, the logistic regression model shows relevant drawbacks.
Raffaella Calabrese, Silvia Angela Osmetti   +1 more
core  

Altitude Training: Strong Bounds for Single-Layer Dropout [PDF]

, 2014
Dropout training, originally designed for deep neural networks, has been successful on high-dimensional single-layer natural language tasks. This paper proposes a theoretical explanation for this phenomenon: we show that, under a generative Poisson topic
Fithian, William, Liang, Percy, Wager, Stefan, Wang, Sida   +3 more
core   +1 more source

B4GALNT4‐Mediated Glycosylation of PDK1 Activates the PI3K‐AKT Signaling Pathway to Promote Prostate Cancer Progression

Advanced Science, EarlyView.
This study identifies B4GALNT4 as a key driver of prostate cancer (PCa). It shows that B4GALNT4 glycosylates PDK1 protein at the N531 site, which stabilizes the PDK1 and constitutively activates the PI3K‐AKT pathway. This mechanism promotes tumor cell proliferation, migration, and invasion. The findings establish the B4GALNT4‐PDK1 glycosylation axis as
Shaoqin Jiang, Mengqiang Li, Qingfu Su, Ruiling Dou, Shaoshan Lin, Jili Zhang, Xiaochen Sun, Haolan Yu, Wei Bao, Min Qu, Yan Wang, Chenghua Yang, Xu Gao   +12 more
wiley   +1 more source

rWTC‐MBTA Vaccine, Alone and Enhanced with Anti‐PD1, Elicits Immune Responses against CNS and Peripheral B‐Cell Lymphoma

Advanced Science, EarlyView.
An autologous whole‐tumor‐cell vaccine (rWTC‐MBTA) is evaluated in murine CNS lymphoma. Subcutaneous vaccination activates dendritic cells, broadens T‐cell priming, and drives lymphocyte trafficking to brain tumors, producing durable tumor control. Longitudinal bioluminescence and adoptive‐transfer assays verify CNS engagement. Combination with anti‐PD‐
Yaping Zhang, Juan Ye, Mitchell Sun, Samik Chakraborty, Alex Valenzuela, Shuran Chen, Qingfeng Xue, Wenyu Shi, Karel Pacak, Herui Wang, Zhengping Zhuang   +10 more
wiley   +1 more source