Results 141 to 150 of about 621,525 (301)

Data‐Driven Discovery of Quaternary Ammonium Interlayers for Efficient and Thermally Stable Perovskite Solar Cells

Advanced Materials, EarlyView.
An active learning framework, grounded in independently generated in‐house experimental data, enables reliable discovery of high‐performance interfacial materials for perovskite solar cells. Iterative model refinement autonomously converges toward structurally robust quaternary ammonium architectures, establishing a new design principle for interfacial
Jongbeom Kim, Yang Jeong Park, Chaehoon Jeon, Nahye Shin, Jaewang Park, Seungun Lee, Jino Im, Sungroh Yoon, Sang Il Seok   +8 more
wiley   +1 more source

Variable Selection and Inference for Multi-period Forecasting Problems [PDF]

This paper conducts a broad-based comparison of iterated and direct multi-step forecasting approaches applied to both univariate and multivariate models.
Allan Timmermann, Andreas Pick, M. Hashem Pesaran   +2 more
core  

Resistance to Overdoping Allows Over 2000 S cm−1 Conductivity in P(g3BTTT) With Anion‐Exchange Doping

Advanced Materials, EarlyView.
Anion‐exchange doping of conjugated polymers is an effective way to achieve high conductivities. Here, we report over 2000 S cm−1 electrical conductivity for doped P(g3BTTT). In addition, we show that P(g3BTTT) sustains exceptionally high doping levels without any drop in the charge mobility.
Basil Hunger, Maximilian M. Horn, Eva Röck, Diego Rosas Villalva, Lize Bynens, Jochen Vanderspikken, Christina Kousseff, Silène Gobeil, Olivier Bardagot, Nesibe Akmanşen‐Kalayci, Sarah H. Tolbert, Iain McCulloch, Wouter Maes, Demetra Tsokkou, Natalie Banerji   +14 more
wiley   +1 more source

A Subcopula Characterization of Dependence for the Multivariate Bernoulli Distribution

Journal of Statistical Theory and Applications (JSTA)
This paper provides a subcopula characterization of dependence for the Multivariate Bernoulli Distribution. Explicit formulas are derived using subcopulas to introduce dependence measures for interactions of all orders, not just pairwise.
Arturo Erdely
doaj   +1 more source

Multivariate regression with measurement error: bias analysis and estimation

Journal of Nonparametric Statistics
Multivariate regression models are commonly used to examine associations in multivariate data, and various methods have been proposed to characterise distinct features of such data across different settings. The validity of those methods, however, is compromised by the presence of measurement error.
Cui, Jingyu, Yi, Grace Y.
openaire   +1 more source

AN ECONOMETRIC ANALYSIS OF THE EFFECTS OF AGGREGATE DEFENSE SPENDING ON AGGREGATE OUTPUT: THE CASE OF TURKEY, 1950-2002 [PDF]

This study utilizes the new macroeconomic theory and multivariate cointegration analysis in search of the effects of aggregate defense spending on aggregate output in Turkey. This study provides the empirical evidence that there is a strong positive long-
Halicioglu Ferda
core  

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

Corrections: Simultaneous Interval Estimation in the General Multivariate Analysis of Variance Model

The Annals of Statistics, 1984
Concerns the article ibid. 11, 666-673 (1983; Zbl 0526.62032).
openaire   +3 more sources

Microfluidic Hydroporation Platform for Effective Allogeneic CAR‐T Cell Production and Subsequent Functional Cytotoxicity Analysis

Advanced Materials Technologies, EarlyView.
The hydroporator platform employs controlled hydrodynamic deformation for efficient mRNA and CRISPR/Cas9 delivery into primary human T cells, enabling allogeneic CAR‐T cell manufacturing. It preserves cell functionality and drives potent gene editing, CAR expression, and tumor cytotoxicity, while feature‐based analysis links these functional outcomes ...
Soohyun Jeon, Sein Kim, Hyun‐Young Kim, Duck Cho, Sungsu Park, Seohyun Kim, Aram J. Chung   +6 more
wiley   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source