Results 121 to 130 of about 9,029 (261)

A Review of Dropout Prevention Programs for Students at Risk of Dropout

The Korean Journal of School Psychology, 2015
null Young Seok Seo, null 최정윤, null 박성화, null 최유리, null 이은정, null 김재훈   +5 more
openaire   +1 more source

Advances in Josephson Junction Materials and Processes Toward Practical Quantum Computing

Advanced Science, EarlyView.
Emerging materials for quantum computing, including crystalline materials, two‐dimensional van der Waals materials, two‐dimensional electron gas systems, ferromagnets, and unconventional (e.g., d‐wave) superconductors, offer opportunities to engineer next‐generation Josephson junctions.
Hyunseong Kim, Gyunghyun Jang, Seungwon Jin, Jaewon An, Dongbin Shin, Hyeon‐Jin Shin, Jie Luo, Akel Hashim, Irfan Siddiqi, Yosep Kim, Long B. Nguyen, Hoon Hahn Yoon   +11 more
wiley   +1 more source

XChrom: A Cross‐Cell Chromatin Accessibility Prediction Model Integrating Genomic Sequence and Cellular Context

Advanced Science, EarlyView.
XChrom is a deep learning framework that integrates genomic sequence and single‐cell context to predict chromatin accessibility. It generalizes to unseen cells and genomic regions, enabling cross‐sample and cross‐species analysis. Applied to COVID‐19 patient data, XChrom reveals key transcriptional regulatory mechanisms and disease‐associated ...
Yuanyuan Miao, Xuan Liang, Wenwen Zhang, Dongmei Han, Yurun Li, Zhen Wang   +5 more
wiley   +1 more source

3′‐UTR Hypermethylation and ABA Signaling Coordinate Transcriptional Activation of SWEET14 for High Sugar Accumulation in Citrus

Advanced Science, EarlyView.
Hypermethylation of CliSWEET14 3′‐UTR relieves ClibHLH105‐mediated transcriptional repression, together with ABA signaling‐mediated activation of the CliABF3‐CliNAC56 cascade, boosts CliSWEET14 expression and sucrose accumulation in citrus. ABSTRACT Sugar accumulation is pivotal for fruit quality, yet the molecular regulation of this process remains ...
Yike Zeng, Yue Wang, Yilei Wang, Haowei Chen, Qiyu Chen, Wei Xiao, Aoqing Zhang, Xin Jiang, Xiangming Shang, Zhicheng Yang, Xi Zeng, Wenqiang Hu, Chunlong Li, Ji‐Hong Liu   +13 more
wiley   +1 more source

ReLink: Reliable Deep Learning for Microscopic Motion Tracking

Advanced Science, EarlyView.
ReLink enables reliable trajectory linking in single‐particle tracking by integrating physics‐informed motion statistics with confidence‐based adaptive filtering. Across diverse simulated and experimental conditions, ReLink robustly reconstructs trajectories and preserves the fidelity of downstream analyses, enabling accurate characterization of ...
Yuan Jiang, Xiaochen Feng, Hongda Wei, Hao Sha, Hongpeng Wang, Min Zhang, Sanyang Han, Yongbing Zhang   +7 more
wiley   +1 more source

A Bi‐Adjuvant Senolytic Nanovaccine Modulating Dendritic Cell Senescence Ameliorates Aging‐Related Metabolic Dysfunction

Advanced Science, EarlyView.
An active biomaterial‐based bi‐adjuvant nanovaccine restores the immunocompetence of aged dendritic cells to overcome senescent cell tolerance. Accompanied by the downregulation of mitotic kinases Aurka/b and attenuation of senescence‐associated PI3K/AKT phosphorylation, the nanovaccine enhances antigen‐presenting capacity and promotes potent cytotoxic
Qingxu Song, Xiaoxue Du, Wenbo Dong, Ying Wang, Xiaojing Wang, Qiliang Yin   +5 more
wiley   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

SOD-FE: a supervised outlier detection and feature engineering approach for student dropout prediction. [PDF]

Sci Rep
Alzabidi E, Yakut Ö, Saad S, Fındık O.   +3 more
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Learning environment at home and primary school dropout status in Bangladesh: An analysis of multiple indicator cluster survey. [PDF]

PLoS One
Prodhan ME, Alam A, Subha S, Islam F, Al Amin M, Hasan MN, Haque MA, Uddin MJ.   +7 more
europepmc   +1 more source