Results 91 to 100 of about 137,972 (308)

Ultrasensitive Detection of Porcine Epidemic Diarrhea Virus Infections Using Multivalent DNA Nanostructure‐Enabled Lateral Flow Assay

Advanced Healthcare Materials, EarlyView.
A multivalent DNA nanostructure‐enabled lateral flow assay was developed for rapid, ultrasensitive detection of porcine epidemic diarrhea virus (PEDV) nucleocapsid protein. Designer net‐shaped DNA nanostructures (DNA‐Net) presenting PEDV‐specific aptamers achieved ~1000‐fold enhanced binding, enabling detection of viral copies with Ct ≤ 37.42 within 10
Saurabh Umrao, Akhila Naru, Dhanush Gandavadi, Mengxi Zheng, Saraswathi Lanka, Hyeongjun Cho, Chau Nguyen Minh Hoang, Jianqiang Zhang, Ying Fang, Xing Wang   +9 more
wiley   +1 more source

Prediction of Taxi-in Time and Analysis of Influencing Factors for Arrival Flights at Airport with a Decentralised Terminal Layout

Promet (Zagreb)
Accurately predicting taxi-in times for arrival flights is crucial for efficient ground handling resource allocation, impacting flight departure timeliness.
Xiaowei TANG, Mengfan YE, Shengrun ZHANG, Kurt FUELLHART   +3 more
doaj   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Post-l1-penalized estimators in high-dimensional linear regression models [PDF]

In this paper we study post-penalized estimators which apply ordinary, unpenalized linear regression to the model selected by first-step penalized estimators, typically LASSO. It is well known that LASSO can estimate the regression function at nearly the
Victor Chernozhukov, Alexandre Belloni
core  

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source

Prognostic Model for the Risk Stratification of Early and Late Recurrence in Hepatitis B Virus-Related Small Hepatocellular Carcinoma Patients with Global Histone Modifications

Journal of Hepatocellular Carcinoma, 2021
Jin-Ling Duan,1,* Run-Cong Nie,1,2,* Zhi-Cheng Xiang,1,3,* Jie-Wei Chen,3 Min-Hua Deng,1,2 Hu Liang,1,4 Feng-Wei Wang,1 Rong-Zhen Luo,3 Dan Xie,1,3 Mu-Yan Cai1,3 1State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer
Duan JL, Nie RC, Xiang ZC, Chen JW, Deng MH, Liang H, Wang FW, Luo RZ, Xie D, Cai MY   +9 more
doaj  

A Comparison of Variables Selection Methods and their Sequential Application: A Case Study of the Bankruptcy of Polish Companies

Folia Oeconomica Stetinensia, 2020
Research background: Even though in recent decades, a lot of new techniques were developed, there is still a lack of studies aimed at comparing the performance of variable selection methods.
Zanka Mikhail
doaj   +1 more source

Lasso Peptides: Exploring the Folding Landscape of Nature’s Smallest Interlocked Motifs

, 2023
Lasso peptides are a class of natural products characterized by a threaded structure. Given their small size and stability, chemical synthesis would offer tremendous potential for the development of novel therapeutics.
Myongin, Oh, Gabriel, da Hora, Lori, Digal, Andrew, Roberts, Jessica, Swanson, Marcus, Mifflin   +5 more
core   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

Can a Transparent Machine Learning Algorithm Predict Better than Its Black Box Counterparts? A Benchmarking Study Using 110 Data Sets

Entropy
We developed a novel machine learning (ML) algorithm with the goal of producing transparent models (i.e., understandable by humans) while also flexibly accounting for nonlinearity and interactions.
Ryan A. Peterson, Max McGrath, Joseph E. Cavanaugh   +2 more
doaj   +1 more source