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Articles by Ning Hao
Condensed Matter > Strongly Correlated Electrons
Nematic fluctuations alter the low-energy electronic behavior and reshape the mean-field phase diagram. We study a two-dimensional nematic metal with a two-component internal degree of freedom. Near the quantum critical point (QCP), longitudinal nematic fluctuations generate the non-Fermi-liquid self-energy $\propto|ω|^{2/3}$, whereas transverse fluctuations give a subleading logarithmic, marginal-Fermi-liquid correction.
Multidimensional spatiotemporal differentiation and driving mechanisms of soil erosion in a mountainous small watershed: an ST-TransUNet-R framework
Abstract Soil erosion threatens ecological security and water conservation in mountainous small watersheds. To improve pixel-level assessment under complex terrain and incomplete multi-source raster inputs, we developed ST-TransUNet-R, a deep-learning framework that integrates a ResNet-50 encoder, a Transformer module, a joint-validity mask, and masked mean squared error loss.
Second-Order Sparse Sufficient Dimension Reduction with Applications to Quadratic Discriminant Analysis
Advanced search Journal of the American Statistical Association Latest Articles Submit an article Journal homepage Full Article Figures & data References Supplemental Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/01621459.2026.2721737?needAccess=true Accepted author version Abstract Motivated by exploratory data analysis, sufficient dimension reduction (SDR) methods, especially inverse regression methods such as sliced inverse regression (SIR) and sliced...
A study on the rapid evaluation of injection-production capacity for depleted gas reservoir UGS by PI-GNN
Abstract Predicting the injection-production capacity of depleted gas reservoir underground gas storage is schallenging due to the difficulties in combining complex inter-well dynamic coupling with physical consistency, alongside the poor computational efficiency of traditional mechanistic models. To address these issues, a physics-informed graph neural network (PI-GNN) model is proposed, integrating well pattern topological features with the Law of Conservation of Mass.
The Burden of Alzheimer’s Disease and Other Dementias Attribute to Metabolic Risks in Western Europe From 1990 to 2023
1 Background Alzheimer's disease and other dementias (ADOD) are major causes of disability, dependency, and mortality among older adults. More than 55 million people are currently living with dementia worldwide, and this number is projected to increase substantially as populations age [1, 2].
Spin textures and spin-charge interconversion in two-dimensional trigonal materials
Abstract Spin-charge interconversion is a central functionality of spintronics. Using three effective k ⋅ p models, we reveal how spin-charge interconversion is governed by the spin texture of Rashba-type bands, distinguishing systems with opposite-chirality spin-split Fermi contours (conventional Rashba bands) from those with same-chirality contours (unconventional Rashba bands).
Symmetry-broken Kondo screening and zero-energy mode in a kagome superconductor
Abstract Quantum states of matter reorganize themselves in response to defects, giving rise to emergent local excitations that reflect the intrinsic properties of the underlying phases. Magnetic impurities, for example, generate Kondo screening in a Fermi liquid and Yu–Shiba–Rusinov states in a conventional superconductor.
A reference-guided iterative approach to polish the nanopore sequencing basecalling for therapeutic RNA quality control - Communications Biology
Abstract Nucleotide modifications deviate nanopore sequencing readouts, therefore generating artifacts during the basecalling of sequence backbones. Here, we present a reference-guided, iterative approach to polish modification-disturbed basecalling results. We show that such an approach is uniquely suitable for training biomolecule-specific high-accuracy basecallers, by improving the basecalling of both artificially-synthesized and real-world molecules.
Dynamic Supervised Principal Component Analysis for Classification
This article introduces a novel framework for dynamic classification in high dimensional spaces, addressing the evolving nature of class distributions over time or other index variables. Traditional discriminant analysis techniques are adapted to learn dynamic decision rules with respect to the index variable.
[2412.03780] Community Detection with Heterogeneous Block Covariance Model
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Adapting nanopore sequencing basecalling models for modification detection via incremental learning and anomaly detection - Nature Communications
Abstract We leverage machine learning approaches to adapt nanopore sequencing basecallers for nucleotide modification detection. We first apply the incremental learning (IL) technique to improve the basecalling of modification-rich sequences, which are usually of high biological interest. With sequence backbones resolved, we further run anomaly detection (AD) on individual nucleotides to determine their modification status.
The multiple topological phases in a new family of compounds ACrTe(A =Na, K, Rb, Cs) predicted by first-principles calculations
The multiple topological phases in a new family of compounds ACrTe(A =Na, K, Rb, Cs) predicted by first-principles calculations Based on first-principle calculations, we predict a new family of chromium-based compounds, ACrTe (A =Na, K, Rb, Cs), which share the same structure as the iron-based superconductor LiFeAs. We show that all these materials are narrow-gap antiferromagnetic (AFM) semiconductors.
Experimental Study on Hysteretic Performance of Steel Moment Connection with Buckling-Restrained Dog-Bone Beam Sections
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Adapting Nanopore Sequencing Basecalling Models for Modification Detection via Incremental Learning and Anomaly Detection
Abstract We leverage machine learning approaches to adapt nanopore sequencing basecallers for nucleotide modification detection. We first apply the incremental learning technique to improve the basecalling of modification-rich sequences, which are usually of high biological interests. With sequence backbones resolved, we further run anomaly detection on individual nucleotides to determine their modification status.
Stealth Majorana zero mode in a trilayer heterostructure $\mathrm{MnTe}/{\mathrm{Bi}}_{2}{\mathrm{Te}}_{3}/\mathrm{Fe}(\mathrm{Te},\mathrm{Se})$
A recent experiment reported the presence of robust zero-energy states with peculiar properties in a trilayer heterostructure MnTe/Bi2Te3/Fe(Te,Se). In this study, we provide a comprehensive understanding of the magnetic and electronic properties of this heterostructure. We propose that magnetic Mn-Bi antisite defects are formed in the topmost sublayer of Bi2Te3 and remain hidden beneath the MnTe layer. Moreover, we reveal that these defects can give rise to two types of quasiparticles.
The COPII subunit CsSEC23 mediates fruit glossiness in cucumber
Original Article This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as doi:10.1111/tpj.16389. SUMMARY To improve our understanding of the mechanism underlying cucumber glossiness regulation, a novel cucumber mutant with a glossy peel (Csgp) was identified.
Spin-dependent high-order topological states and corner modes in a monolayer FeSe/GdClO heterostructure
Abstract We propose that a spin-dependent second-order topological insulator can be realized in a monolayer FeSe/GdClO heterostructure, in which substrate GdClO helps to stabilize and enhance the antiferromagnetic order in FeSe. The second-order topological insulator is free from spin-orbit coupling and in-plane magnetic field. We also find that two types of distinct corner modes residing in the intersections of two ferromagnetic edges and two antiferromagnetic edges exist.
Darkness within: The Internal Mechanism between Dark Triad and Malevolent Creativity
Abstract : The Dark Triad has been found to be associated with malevolent creativity (MC) merely in terms of trait level, and its underlying mechanism remains unclear. Based on the cognitive–affective processing system and the existing studies, the current study aimed to explore the internal mechanism between the Dark Triad and MC behavioral tendencies/performance.
Optimal Water Resources Allocation in the Yinma River Basin in Jilin Province, China, Using Fuzzy Programming
Open AccessArticle by Pengyu Li 1,2,†, Hao Yang 1,†, Wei He 1,†, Luze Yang 3, Ning Hao 3, Peixuan Sun 3 and Yu Li 1,* 1 MOE Key Laboratory of Resources Environmental Systems Optimization, North China Electric Power University, Beijing 102206, China 2 Spic Yuxin Power Generation, Co., Ltd., Xinxiang 453000, China 3 College of New Energy and Environment, Jilin University, Changchun 130012, China * Author to whom correspondence should be addressed. † These authors contributed equally to this work.
Design of an in vitro multienzyme cascade system for the biosynthesis of nicotinamide mononucleotide
Design of an in vitro multienzyme cascade system for the biosynthesis of nicotinamide mononucleotide† Cailian Zhou,‡a Jiao Feng,‡a Jing Wang,a Ning Hao,a Xin Wang *a and Kequan Chen a Author affiliations * Corresponding authors a State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing 211816, People's Republic of China E-mail: cailianzhou@njtech.edu.cn, fengjiao88@njtech.edu.cn,...
When Do We Fall in Neural Synchrony With Others?
Abstract and Introduction Abstract This study aimed to investigate the situation in which interpersonal brain synchronization (IBS) occurs during a collaborative task and examined its trajectory over time by developing a novel functional near-infrared spectroscopy (fNIRS)-based hyperscanning paradigm. Participants were asked to perform a collaborative task in three-person groups where two of the members are real participants and one is a confederate.
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