Data_Sheet_1_Multi-feature fusion learning for Alzheimer's disease prediction using EEG signals in resting state.PDF

IntroductionDiagnosing Alzheimer's disease (AD) lesions via visual examination of Electroencephalography (EEG) signals poses a considerable challenge. This has prompted the exploration of deep learning techniques, such as Convolutional Neural Networks (CNNs) and Visual Transformers (ViTs), for AD prediction. However, the classification performance of CNN-based methods has often been deemed inadequate. This is primarily attributed to CNNs struggling with extracting meaningful lesion signals from the complex and noisy EEG data.MethodsIn contrast, ViTs have demonstrated proficiency in capturing global signal patterns. In light of these observations, we propose a novel approach to enhance AD risk assessment. Our proposition involves a hybrid architecture, merging the strengths of CNNs and ViTs to compensate for their respective feature extraction limitations. Our proposed Dual-Branch Feature Fusion Network (DBN) leverages both CNN and ViT components to acquire texture features and global semantic information from EEG signals. These elements are pivotal in capturing dynamic electrical signal changes in the cerebral cortex. Additionally, we introduce Spatial Attention (SA) and Channel Attention (CA) blocks within the network architecture. These attention mechanisms bolster the model's capacity to discern abnormal EEG signal patterns from the amalgamated features. To make well-informed predictions, we employ a two-factor decision-making mechanism. Specifically, we conduct correlation analysis on predicted EEG signals from the same subject to establish consistency.ResultsThis is then combined with results from the Clinical Neuropsychological Scale (MMSE) assessment to comprehensively evaluate the subject's susceptibility to AD. Our experimental validation on the publicly available OpenNeuro database underscores the efficacy of our approach. Notably, our proposed method attains an impressive 80.23% classification accuracy in distinguishing between AD, Frontotemporal dementia (FTD), and Normal Control (NC) subjects.DiscussionThis outcome outperforms prevailing state-of-the-art methodologies in EEG-based AD prediction. Furthermore, our methodology enables the visualization of salient regions within pathological images, providing invaluable insights for interpreting and analyzing AD predictions.</p

Polyimide Composites with Fluorinated Graphene and Functionalized Boron Nitride Nanosheets for Heat Dissipation

Polyimide (PI) with excellent comprehensive properties has been extensively applied in electronic devices. The miniaturization and integration of electrical equipment put forward more stringent requirements for heat dissipation, so a composite with high thermal conductivity and low dielectric properties has become a critical factor. In this work, fluorinated graphene (FG) and boron nitride nanosheets modified with polydopamine (PDA@BNNS) were filled into the PI matrix as fillers to prepare FG/PDA@BNNS/PI composites. The mixed filling of FG and BNNS synergistically improves the dielectric and thermal conductivity, and this research breaks the balance barrier between dielectric and thermal conductivity. The resulting 4.99 wt % FG/PDA@BNNS/PI composite exhibited excellent comprehensive properties, including ultralow dielectric constant of 1.67, low loss of 0.013 at 1 MHz, and high thermal conductivity of 2.464 W m–1 K–1. In addition, the film also showed standout breakdown resistance (81.22 kV/mm) and mechanical properties such that the tensile strength reached 35.7 MPa. This report can inspire future development of composites for electronic packaging

Effects of the Fe^II/Cu^II Interaction on Copper Aging Enhancement and Pentachlorophenol Reductive Transformation in Paddy Soil

The present study investigated copper aging and pentachlorophenol (PCP) reductive transformation under the effects of the Fe^II/Cu^II interaction in paddy soil in south China. Kinetic measurements demonstrated that the PCP reductive transformation rate (<i>k</i>) could be promoted in the presence of no more than 0.375 mM Cu^II and inhibited in the presence of no less than 0.5 mM Cu^II. The highest <i>k</i> value in the presence of 0.25 mM Cu^II corresponds to the lowest redox potential (<i>E</i>_p) value of active Fe species. The increasing trend in <i>E</i>_p of the active Fe species is consistent with the declining trend in the <i>k</i> value of PCP reduction and vice versa. Dissolved Cu^II is gradually transformed into immobilized Cu species during PCP reduction, which indicates that Cu aging is enhanced by the Fe^II/Cu^II interaction. These findings improve our general understanding of the Fe^II/Cu^II interaction on soil iron redox chemistry for polychlorinated pesticide detoxification and heavy metal immobilization

(NH₄)_0.75Fe(H₂O)₂[BP₂O₈]·0.25H₂O, a Fe³⁺/Fe²⁺ Mixed Valence Cathode Material for Na Battery Exhibiting a Helical Structure

Borophosphates, previously identified as interesting nonlinear optical, catalysts, molecular sieves, and ion exchange materials have been disregarded so far for their electrochemical properties as electrode materials in Li or Na batteries. We have prepared (NH₄)_0.75Fe­(H₂O)₂[BP₂O₈]·0.25H₂O and NaFe­(H₂O)₂[BP₂O₈]·H₂O via hydrothermal synthesis and determined their exact chemical formulas and crystal structures with magnetic susceptibility, Mössbauer spectroscopy, IR, and XRD probes. Both borophosphates crystallize in a remarkable 6_<i>n</i> screw axis helical structure. They were subsequently further investigated as Na/Na-ion battery cathodes for the first time. (NH₄)_0.75Fe­(H₂O)₂[BP₂O₈]·0.25H₂O revealed interesting electrochemical responses, yielding a second discharge capacity of ∼80 mAh/g within 1.5–4.0 V at C/50 rate, 55 °C, via a solid–solution insertion mechanism as determined by in situ XRD measurements

Magnetic Structures of LiMBO₃ (M = Mn, Fe, Co) Lithiated Transition Metal Borates

The magnetic ordering within LiMBO₃ compounds (M = Mn, Fe, and Co) has been explored by magnetization measurements and neutron powder diffraction. For all M, an incommensurately ordered magnetic phase is established on cooling, followed by a change to a commensurate long-range antiferromagnetic state below <i>T</i>_N2 = 12(1) K for LiMnBO₃, <i>T</i>_N2 = 25(1) K for LiFeBO₃, and <i>T</i>_N2 = 12(1) K for LiCoBO₃. For LiMnBO₃, the magnetic ordering at <i>T</i> = 2 K exhibits a propagation vector <b>k</b> = (1, 0, 0) and consists of antiferromagnetic chains that are coupled antiferromagnetically to each other, the magnetic moments being oriented along the [001] direction. In contrast, the magnetic order at <i>T</i> = 2 K in LiFeBO₃ and LiCoBO₃ exhibits a propagation vector of <b>k</b> = (¹/₂, ¹/₂, ¹/₂) and consists of ferromagnetic chains that are antiferromagnetically coupled. The magnetic moments lie roughly along the [023̅] direction within the <i>bc</i> plane for LiFeBO₃, and along the [301̅] direction within the <i>ac</i> plane for LiCoBO₃. The moment orientations in both LiMnBO₃ and LiFeBO₃ suggest an Ising character arising from unquenched orbital momentum due to unusual trigonal bipyrimidal coordination environments. No evidence of Ising behavior is found in the case of LiCoBO₃

Synthesis of (<i>Z</i>)‑α-Trifluoromethyl Alkenyl Triflate: A Scaffold for Diverse Trifluoromethylated Species

An efficient method for the synthesis of (<i>Z</i>)-selective α-trifluoromethyl alkenyl triflates is described. As an important fluorinated building block, it is utilized successfully for the synthesis of various trifluoromethyl derivatives such as diarylethylenes, enynes, alkynes, and benzofurans

Synthesis of (<i>Z</i>)‑α-Trifluoromethyl Alkenyl Triflate: A Scaffold for Diverse Trifluoromethylated Species

An efficient method for the synthesis of (<i>Z</i>)-selective α-trifluoromethyl alkenyl triflates is described. As an important fluorinated building block, it is utilized successfully for the synthesis of various trifluoromethyl derivatives such as diarylethylenes, enynes, alkynes, and benzofurans

Triphenylphosphine Oxide as Highly Effective Electrolyte Additive for Graphite/NMC811 Lithium Ion Cells

Nickel-rich layered oxide materials (LiNi_<i>x</i>Mn_<i>y</i>Co_{1–<i>x</i>–<i>y</i>}O₂, <i>x</i> ≥ 0.8, LiNMC) attract great interest for application as positive electrode in lithium ion batteries (LIBs) due to high specific discharge capacities at moderate upper cutoff voltages below 4.4 V vs Li/Li⁺. However, the comparatively poor cycling stability as well as inferior safety characteristics prevent this material class from commercial application so far. Against this background, new electrolyte formulations including additives are a major prerequisite for a sufficient electrochemical performance of Ni-rich NMC materials. In this work, we introduce triphenylphosphine oxide (TPPO) as electrolyte additive for the application in graphite/LiNi_0.8Mn_0.1Co_0.1O₂ (NMC811) cells. The addition of only 0.5 wt % TPPO into a carbonate-based electrolyte (LiPF₆ in EC:EMC) significantly increases the first cycle Coulombic efficiency as well as the reversible specific capacity and improves the capacity retention of the LIB full cell cycled between 2.8 and 4.3 V. Electrochemical results indicate that the full cell capacity fade is predominantly caused by active lithium loss at the negative electrode. In this contribution, X-ray photoelectron spectroscopy and inductively coupled plasma-mass spectrometry analysis confirm the participation of the electrolyte additive in the solid electrolyte interphase formation on the negative electrode as well as in the cathode electrolyte interphase formation on the positive electrode, thus, effectively reducing the active lithium loss during cycling. Furthermore, the performance of the TPPO additive is compared to literature known electrolyte additives including triphenylphosphine, vinylene carbonate, and diphenyl carbonate demonstrating the outstanding working ability of TPPO in graphite/NMC811 cells

Additional file 1 of Dual peptides-modified cationic liposomes for enhanced Lung cancer gene therapy by a gap junction regulating strategy

Supplementary Material 1: Additional file1. Additional figures and table

Human VAMP1 is a poor substrate for BoNT/D in neurons.

<p>(A) Sequence alignment showing a portion of VAMP1/2, which indicates that human VAMP1 contains residue I at position 48, whereas mouse VAMP1 and VAMP2 both contain residue M at this position. The cleavage sites for BoNT/F and BoNT/D are also designated by arrows. (B) VAMP1 was expressed in cultured rat hippocampal neurons via lentiviral transduction. Neurons were exposed to the indicated concentrations of BoNT/D for 24 hrs. Cell lysates were collected and subjected to immunoblot analysis. Both wild type h-VAMP1 and a mutant m-VAMP1 (M48I) were poorly cleaved by BoNT/D, whereas wild type m-VAMP1 and a mutant h-VAMP1 (I48M) were efficiently cleaved by BoNT/D. (C) Immunoblot results from panel B were quantified and plotted (N = 3, error bars represent SEM). (D) Experiments were carried out as described in panel B, except that neurons were exposed to BoNT/F. Both m- and h-VAMP1 were cleaved by BoNT/F at similar rates. (E) Quantification of immunoblot results from panel D (N = 3, error bars represent SEM). (F) A mutant m-VAMP1 (VAMP1-mut) containing Q60E/K61I was expressed in cultured rat hippocampal neurons via lentiviral transduction. Cells were exposed to the indicated toxins for 24 hrs, and cell lysates were subjected to immunoblot analysis to detect cleavage of VAMP1. Cleavage of endogenous VAMP2 serves as an internal control to demonstrate the activity of toxins. VAMP1 Q60E/K61I was resistant to both BoNT/F (1 nM) and BoNT/D (1 nM), but was readily cleaved by BoNT/B (2 nM) and TeNT (0.15 nM).</p