bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Wet‐Adhesion and Swelling‐Resistant Hydrogel for Fast Hemostasis, Accelerated Tissue Injury Healing and Bioelectronics
Authors: Shen Kaixiang , Lv Zhuting , Yang Yuxuan , Wang Haoyue , Liu Jiancheng , Chen Qifei , Liu Zheng , Zhang Mengyuan , Liu Jiaying , Cheng Yilong 
Published: December 2024

AbstractHydrogel bioadhesives with adequate wet adhesion and swelling resistance are urgently needed in clinic. However, the presence of blood or body fluid usually weakens the interfacial bonding strength, and even leads to adhesion failure. Herein, profiting from the unique coupling structure of carboxylic and phenyl groups in one component (N‐acryloyl phenylalanine) for interfacial drainage and matrix toughening as well as various electrostatic interactions mediated by zwitterions, a novel hydrogel adhesive (PAAS) is developed with superior tissue adhesion properties and matrix swelling resistance in challenging wet conditions (adhesion strength of 85 kPa, interfacial toughness of 450 J m−2, burst pressure of 514 mmHg, and swelling ratio of <4%). The PAAS hydrogel can not only realize fast hemostasis of liver, heart, artery rupture, and sealing of pulmonary air‐leakage but also accelerate the recovery of stomach and liver defects in rat, rabbit, and pig models. Moreover, PAAS hydrogel can precisely and durably monitor various physiological activities (pulse, electrocardiogram, and electromyogram) even under humid environments (immersion in water for 3 days), and can be employed for the evaluation of in vivo sealing efficiency for artery rupture. The work provides a promising hydrogel adhesive for clinical hemostasis, tissue injury repair, and bioelectronics.
In Situ Reconstructed Hydroxyl‐Rich Atomic‐Thin Bi2O2CO3 Enables Ampere‐Scale Synthesis of Formate from CO2 with Activated Water Dissociation
Authors: Huang Qizheng , Qian Zhengyi , Ye Na , Tan Yingjun , Li Menggang , Luo Mingchuan , Guo Shaojun 
Published: December 2024

AbstractRenewable electricity‐driven CO2 electroreduction provides a promising route toward carbon neutrality and sustainable chemical production. Nevertheless, the viability of this route faces constraints of catalytic efficiency and durability in near‐neutral electrolytes at industrial‐scale current densities, mechanistically originating from unfavorable accommodation of *H species from water dissociation. Herein, a new strategy is reported to accelerate water dissociation by the rich surface hydroxyl on bismuth subcarbonate nanosheets in situ electrochemical transformed from bismuth hydroxide nanotube precursors. This catalyst enables the electrosynthesis of formate at current densities up to 1000 mA cm−2 with >96% faradaic efficiencies in flow cells, and a 200 h durable membrane electrode assembly in a dilute near‐neutral environment. Combined kinetic studies, in situ characterizations, and theoretical calculations reveal that the atomic thickness strengthens the hydroxyl adsorption, and with a highly localized electron configuration, the hydroxyl‐functionalized surface is more affinitive to oxygenated species, thus lowering the barrier for water dissociation and the crucial hydrogenation step in the proton‐coupled electron transfer from *OCHO to *HCOOH.
High‐Entropy Alloy Nanoflower Array Electrodes with Optimizable Reaction Pathways for Low‐Voltage Hydrogen Production at Industrial‐Grade Current Density
Authors: Li Shaobo , Hou Yuying , Feng Guang , Li Qichang , Zhai Hang , Hua Qingfeng , Hu Riming , Xu Ming , Zhang Chengxi , Huang Zhiqi , Xia Dingguo 
Published: December 2024

AbstractDeveloping sufficiently effective non‐precious metal catalysts for large‐current‐density hydrogen production is highly significant but challenging, especially in low‐voltage hydrogen production systems. Here, we innovatively report high‐entropy alloy nanoflower array (HEANFA) electrodes with optimizable reaction pathways for hydrazine oxidation‐assisted hydrogen production at industrial‐grade current densities. Atomic‐resolution structural analyses confirm the single‐phase solid‐solution structure of HEANFA. The HEANFA electrodes exhibit the top‐level electrocatalytic performance for both the alkaline hydrogen evolution reaction (HER) and hydrazine oxidation reaction (HzOR). Furthermore, the hydrazine oxidation‐assisted splitting (OHzS) system assembled with HEANFA as both anode and cathode exhibits a record‐breaking performance for hydrogen production. It achieves ultralow working voltages of 0.003, 0.081, 0.260, 0.376, and 0.646 V for current densities of 10, 100, 500, 1 000, and 2 000 mA cm−2, respectively, and remarkable stability for 300 h, significantly outperforming those of previously reported OHzS systems and other chemicals‐assisted hydrogen production systems. Theoretical calculations reveal that extraordinary performance of HEANFA for OHzS is attributed to its abundant high‐activity sites and optimizable reaction pathways in HER and HzOR. In particular, HEANFA enables intelligent migration of key intermediates during HzOR, thereby optimizing the reaction pathways and creating high‐activity sites, ultimately endowing the extraordinary performance for OHzS.
Machine Learning Driven Optimization of Electrolyte for Highly Reversible Zn‐Air Batteries with Superior Long‐Term Cycling Performance
Authors: Liu Dapeng , Ge Huaiyun , Song Mingming , Jiang Ying , Gong Xiangrui , You Tingting , Fu Lichao , Fu Zerui , Zhang Yu 
Published: December 2024

AbstractAqueous alkaline Zn‐air batteries (ZABs) have garnered widespread attention due to their high energy density and safety, however, the poor electrochemical reversibility of Zn and low battery round‐trip efficiency strongly limit their further development. The manipulation of an intricate microscopic balance among anode/electrolyte/cathode, to enhance the performance of ZABs, critically relies on the formula of electrolytes. Herein, the Bayesian optimization approach is employed to achieve the effective design of optimal compositions of multicomponent electrolytes, resulting in the remarkable enhancement of ZAB performance. Notably, ethylene glycol has been successfully employed as both electrolyte additive and fuel, playing key roles in changing the reaction pathways of ZABs, especially the storage form of discharge products from ZnO deposition on the anode to Zn2+‐based hybrid particle colloids in the electrolyte. As a result, the as‐obtained novel ZABs can deliver superior battery reversibility and stability (1700 h at 2 mA cm−2 and 1400 h at 20 mA cm−2), greatly improved round‐trip efficiency as high as 76.3%, and even continuous discharge until complete Zn anode depletion. This work has demonstrated enormous potential for long‐term energy storage applications and holds promise for bringing new opportunities to the development of ZABs.
A coarse‐graining approach to model molecular liquids for mesoscale problems
Authors: Zerze Hasan , Gupta Ayush , Baksi Atanu , Chakraborty Dipayan , Vekilov Peter G. , Rimer Jeffrey D. , Zerze Gül H. 
Published: December 2024

AbstractEffective modeling of molecular interactions is fundamental for understanding and simulating large‐scale chemical and biochemical systems. Here, we introduce a novel coarse‐graining strategy that employs the Lennard–Jones (LJ) potential to model solvent–solvent and solute–solvent interactions that control mesoscale behaviors. Our approach maintains the accuracy in capturing essential thermophysical properties such as densities and vapor pressures, while simplifying the representation of solvent molecules. By aggregating multiple solvent molecules into a single bead, our model offers a robust tool for studying solvation properties in systems where the collective behavior of solvents plays a crucial role. This approach enables effective computational studies across various mesoscale phenomena, including phase transitions in polymer blends, concentrated solutions of small organic molecules, and biological self‐assembly. We demonstrate the robustness of our approach by simulating a saturated cholesterol–ethanol solution, exemplifying its power to tackle large‐scale systems with precision and efficiency.
Transition Metal‐Free Synthesis of β‐Carboline Substituted 1,2,3‐Thiadiazoloyl Derivatives Using Elemental Sulfur as a Sulfur Source
Authors: Deepika  , Chhabra Ravindresh , Bansal Ajay , Singh Virender 
Published: December 2024

AbstractA transition metal‐free, I2‐catalyzed C−S cross‐coupling reaction has been developed for the synthesis of β‐carboline substituted 1,2,3‐thiadiazoloyl derivatives using β‐carboline‐based enaminones, tosyl hydrazide, and elemental sulfur. The highlighted features of this methodology include the formation of C−S, S−N, and C−N bonds, the use of inexpensive and nontoxic catalyst, high efficiency, easy procedures, short reaction time, and generation of natural product inspired scaffolds with good to excellent yields (upto 89 %). All the synthesized β‐carboline substituted 1,2,3‐thiadiazoloyl derivatives (1–25 B) were investigated for in vitro cytotoxicity against HeLa cell line. The compound 4 B emerged as the most potent anticancer agent with IC50 values of 25.9 μM.
Differences in baseline cognitive performance between participants with early‐onset and late‐onset Alzheimer's disease: Comparison of LEADS and ADNI
Authors: Hammers Dustin B. , Eloyan Ani , Thangarajah Maryanne , Taurone Alexander , Beckett Laurel , Gao Sujuan , Polsinelli Angelina J. , Kirby Kala , Dage Jeffrey L. , Nudelman Kelly , Aisen Paul , Reman Rema , La Joie Renaud , Lagarde Julien , Atri Alireza , Clark David , Day Gregory S. , Duara Ranjan , Graff‐Radford Neill R. , Honig Lawrence S. , Jones David T. , Masdeu Joseph C. , Mendez Mario F. , Womack Kyle , Musiek Erik , Onyike Chiadi U. , Riddle Meghan , Grant Ian , Rogalski Emily , Johnson Erik C. B. , Salloway Steven , Sha Sharon J. , Turner Raymond Scott , Wingo Thomas S. , Wolk David A. , Carrillo Maria C. , Dickerson Bradford C. , Rabinovici Gil D. , Apostolova Liana G. ,   the LEADS Consortium 1 for the Alzheimer's Disease Neuroimaging Initiative
Published: December 2024

AbstractINTRODUCTIONEarly‐onset Alzheimer's disease (EOAD) and late‐onset Alzheimer's disease (LOAD) share similar amyloid etiology, but evidence from smaller‐scale studies suggests that they manifest differently clinically. Current analyses sought to contrast the cognitive profiles of EOAD and LOAD.METHODSZ‐score cognitive‐domain composites for 311 amyloid‐positive sporadic EOAD and 314 amyloid‐positive LOAD participants were calculated from baseline data from age‐appropriate control cohorts. Z‐score composites were compared between AD groups for each domain.RESULTSAfter controlling for cognitive status, EOAD displayed worse visuospatial, executive functioning, and processing speed/attention skills relative to LOAD, and LOAD displayed worse language, episodic immediate memory, and episodic delayed memory.DISCUSSIONSporadic EOAD possesses distinct cognitive profiles relative to LOAD. Clinicians should be alert for non‐amnestic impairments in younger patients to ensure proper identification and intervention using disease‐modifying treatments.Highlights
Both early‐onset Alzheimer's disease (EOAD) and late‐onset Alzheimer's disease (LOAD) participants displayed widespread cognitive impairments relative to their same‐aged peers.
Cognitive impairments were more severe for EOAD than for LOAD participants in visuospatial and executive domains.
Memory and language impairments were more severe for LOAD than for EOAD participants
Results were comparable after removing clinical phenotypes of posterior cortical atrophy (PCA), primary progressive aphasia (lv‐PPA), and frontal‐variant AD.
ADNI Private Partners Scientific Board (PPSB) Diversity, Equity, and Inclusion (DE&I) Working Group: A new collaboration that crosses boundaries for industry, academia, and under‐represented patients
Authors: Croney Ruth , Fristed Emil , Masterman Donna , Meyer Martine , Sachdev Pallavi , Vasanthakumar Aparna , Weber Christopher J. , Devins Theresa 
Published: December 2024

AbstractThe Alzheimer's Disease Neuroimaging Initiative (ADNI) Private Partners Scientific Board (PPSB) Diversity, Equity, and Inclusion Working Group (DE&I WG) was established to work with the ADNI3 Diversity Task Force to provide an industry perspective on increasing the representation of diverse participants in ADNI3 and to build precompetitive cross‐industry knowledge in engagement and recruitment of under‐represented participants (URPs). In this article, we review and highlight the role and ongoing activities within the ADNI PPSB DE&I WG and provide a cross‐industry perspective on areas where precompetitive collaboration can improve the inclusiveness in clinical trials, drawing on examples from ADNI4.Highlights
New collaboration crosses boundaries to allow PPSB DE&I WG members to work together in a preproprietary way.
When faced with the same challenges required by FDA combined with a growing prevalence of AD, the DE&I WG has drafted a range of initiatives that may benefit ADNI, AD patients, care partners, and respective companies involved in this work.
In order to address the multifactorial problem of successfully enrolling representative populations in clinical trials, it will “take a village” to bring about sustainable changes.
Sex and APOE ε4 allele differences in longitudinal white matter microstructure in multiple cohorts of aging and Alzheimer's disease
Authors: Peterson Amalia , Sathe Aditi , Zaras Dimitrios , Yang Yisu , Durant Alaina , Deters Kacie D. , Shashikumar Niranjana , Pechman Kimberly R. , Kim Michael E. , Gao Chenyu , Mohd Khairi Nazirah , Li Zhiyuan , Yao Tianyuan , Huo Yuankai , Dumitrescu Logan , Gifford Katherine A. , Wilson Jo Ellen , Cambronero Francis E. , Risacher Shannon L. , Beason‐Held Lori L. , An Yang , Arfanakis Konstantinos , Erus Guray , Davatzikos Christos , Tosun Duygu , Toga Arthur W. , Thompson Paul M. , Mormino Elizabeth C. , Habes Mohamad , Wang Di , Zhang Panpan , Schilling Kurt ,   Alzheimer's Disease Neuroimaging Initiative (ADNI),   The BIOCARD Study Team,   The Alzheimer's Disease Sequencing Project (ADSP), Albert Marilyn , Kukull Walter , Biber Sarah A. , Landman Bennett A. , Johnson Sterling C. , Schneider Julie , Barnes Lisa L. , Bennett David A. , Jefferson Angela L. , Resnick Susan M. , Saykin Andrew J. , Hohman Timothy J. , Archer Derek B. 
Published: December 2024

AbstractINTRODUCTIONThe effects of sex and apolipoprotein E (APOE)—Alzheimer's disease (AD) risk factors—on white matter microstructure are not well characterized.METHODSDiffusion magnetic resonance imaging data from nine well‐established longitudinal cohorts of aging were free water (FW)–corrected and harmonized. This dataset included 4741 participants (age = 73.06 ± 9.75) with 9671 imaging sessions over time. FW and FW‐corrected fractional anisotropy (FAFWcorr) were used to assess differences in white matter microstructure by sex and APOE ε4 carrier status.RESULTSSex differences in FAFWcorr in projection tracts and APOE ε4 differences in FW limbic and occipital transcallosal tracts were most pronounced.DISCUSSIONThere are prominent differences in white matter microstructure by sex and APOE ε4 carrier status. This work adds to our understanding of disparities in AD. Additional work to understand the etiology of these differences is warranted.Highlights
Sex and apolipoprotein E (APOE) ε4 carrier status relate to white matter microstructural integrity.
Females generally have lower free water–corrected fractional anisotropy compared to males.
APOE ε4 carriers tended to have higher free water than non‐carriers.
Stabilization of mitochondria‐associated endoplasmic reticulum membranes regulates Aβ generation in a three‐dimensional neural model of Alzheimer's disease
Authors: Zellmer Jacob C. , Tarantino Marina B. , Kim Michelle , Lomoio Selene , Maesako Masato , Hajnóczky György , Bhattacharyya Raja 
Published: December 2024

AbstractINTRODUCTIONWe previously demonstrated that regulating mitochondria‐associated endoplasmic reticulum (ER) membranes (MAMs) affects axonal Aβ generation in a well‐characterized three‐dimensional (3D) neural Alzheimer's disease (AD) model. MAMs vary in thickness and length, impacting their functions. Here, we examined the effect of MAM thickness on Aβ in our 3D neural model of AD.METHODSWe employed fluorescence resonance energy transfer (FRET) or fluorescence‐based MAM stabilizers, electron microscopy, Aβ enzyme‐linked immunosorbent assay (ELISA), and live‐cell imaging with kymography to assess how stabilizing MAMs of different gap widths influence Aβ production and MAM axonal mobility.RESULTSStabilizing tight MAMs (∼6 nm gap width) significantly increased Aβ levels, whereas basal (∼25 nm) and loose MAMs (∼40 nm) maintained or reduced Aβ levels, respectively. Tight MAMs reduced mitochondrial axonal velocity compared to basal MAMs, while loose MAMs showed severely reduced axonal distribution.DISCUSSIONOur findings suggest that stabilizing MAMs of specific gap widths, particularly in axons, without complete destabilization could be an effective therapeutic strategy for AD.Highlights
The stabilization of MAMs exacerbates or ameliorates Aβ generation from AD neurons in a MAM gap width‐dependent manner.
A specific stabilization threshold within the MAM gap width spectrum shifts the amyloidogenic process to non‐amyloidogenic.
Tight MAMs slow down mitochondrial axonal transport compared to lose MAMs offering a quantitative method for measuring MAM stabilization.
Interocular retinal asymmetry and cognitive frailty: A prospective cohort study
Authors: Lee Yung‐Sung , Hsieh Yi‐Ting , Huang Te‐Hsuan , Chiou Jeng‐Min , Peng Tao‐Chun , Liu Yao‐Lin , Chen Jen‐Hau , Chen Yen‐Ching 
Published: December 2024

AbstractINTRODUCTIONThe retinal nerve fiber layer (RNFL) or ganglion cell–inner plexiform layer (GC‐IPL) is associated with cognitive impairment. However, the relationship between retinal asymmetry and cognitive frailty (CF) remains unknown.METHODSTwo hundred twenty‐two community‐dwelling older adults were assessed starting in 2015 and underwent biennial cognitive and frailty evaluations until 2022. Retinal asymmetry was defined as the absolute interocular retinal difference. Generalized linear mixed models estimated the risk of CF over time.RESULTSAmong the participants, 158 completed the 4‐year follow‐up. Greater baseline GC‐IPL asymmetry was associated with worsening CF over time (adjusted odds ratio = 1.06; 95% confidence interval [CI] = 1.03, 1.10), with handgrip strength asymmetry significantly modifying this association (pinteraction = 0.02). GC‐IPL asymmetry was associated with cognitive impairment ( = −1.69 × 10−2; 95% CI = −3.13 × 10−2, −0.25 × 10−2) but not with physical frailty. RNFL showed no significant association with CF.DISCUSSIONInterocular GC‐IPL asymmetry might be a new biomarker for CF in older adults.Highlights
Interocular ganglion cell–inner plexiform layer (GC‐IPL) asymmetry was associated with impaired memory–frailty, with handgrip strength asymmetry significantly modifying this association.
Interocular GC‐IPL asymmetry was associated with cognitive impairment.
Interocular retinal asymmetry might be a structural biomarker of cognitive frailty.
Identification of circulating risk biomarkers for cognitive decline in a large community‐based population in Chongqing China
Authors: Kang Yu , Feng Zijuan , Zhang Qian , Liu Mingjing , Li Yanhua , Yang Huan , Zheng Lingling , Cheng Chunjiang , Zhou Weitao , Lou Dandan , Li Xiaoyong , Chen Liangping , Feng Yi , Duan Xiaoling , Duan Jianzhong , Yu Mengjiao , Yang Shou , Liu Yuhang , Wang Xin , Deng Bo , Liu Chenghui , Yao Xiuqing , Zhu Chi , Liang Chunrong , Zeng Xiaolong , Ren Sisi , Li Qunying , Zhong Yin , Yan Yong , Meng Huaqing , Zhong Zhaohui , Zhang Yong , Kang Jun , Luan Xiaoqian , Pan Sipei , Wu Yili , Li Tingyu , Song Weihong , Zhang Yun 
Published: December 2024

AbstractINTRODUCTIONThis study aims to investigate the relationship between blood‐based pathologies and established risk factors for cognitive decline in the community‐based population of Chongqing, a region with significant aging.METHODSA total of 26,554 residents aged 50 years and older were recruited. Multinomial logistic regression models were applied to assess the risk factors of cognition levels. Propensity score matching and linear mixed effects models were used to evaluate the relationship between key risk factors and the circulating biomarkers.RESULTSShared and distinct risk factors for MCI and dementia were identified. Age, lower education, medical history of stroke, hypertension, and epilepsy influenced mild cognitive impairment (MCI) progression to dementia. Correlations between key risk factors and circulating neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP), amyloid β protein (Aβ)40, and Aβ42/Aβ40 ratio suggest underlying mechanisms contributing to cognitive impairment.DISCUSSIONThe common and distinct risk factors across cognitive decline stages emphasize the need for tailored interventions. The correlations with blood biomarkers provide insights into potential management targets.Highlights
From a large community‐based cohort study on the residents in Chongqing, we have identified that mild cognitive impairment (MCI) and dementia share several common risk factors, including age, female gender, rural living, lower education levels, and a medical history of stroke. However, each condition also has its own unique risk factors.
Several factors contribute to the progression of MCI into dementia including age, education levels, occupation, and a medical history of hypertension and epilepsy.
We discover the correlations between the risk factors for dementia and blood biomarkers that indicate the presence of axonal damage, glial activation, and Aβ pathology.
Factors associated with care‐resistant behavior in the National Alzheimer's Coordinating Center's Uniform Data Set
Authors: Bratches Reed W. R. , Backhouse Tamara , Barr Paul J. , Lee Cheryl , Puga Frank , Jablonski Rita A. 
Published: December 2024

AbstractINTRODUCTIONLittle is known about the factors associated with care‐resistant behavior in community‐dwelling persons living with dementia.METHODSRegression modeling was performed on 41,143 responses to a standardized questionnaire from the National Alzheimer's Coordinating Center's Uniform Data Set.RESULTSIn the fully adjusted mixed‐effects regression model, collinearity was low, with no variance inflation factor above 1.15. Moderate (adjusted odds ratio [aOR] = 1.59; 95% confidence interval [CI]: 1.50, 1.69) and severe (aOR = 1.95; 95% CI: 1.82, 2.09) dementia severity; and Black (aOR = 1.64; 95% CI: 1.47, 1.82), Hispanic ethnicity (aOR 1.13; 95% CI: 1.00, 1.28), frontotemporal (aOR 1.29; 95% CI: 1.12, 1.49) and Lewy body dementia (aOR 1.15; 95% CI: 1.02, 1.29) diagnosis type were associated with a higher odds of care‐resistant behavior. Female sex (aOR 0.85; 95% CI: 0.80, 0.91) and higher education (aOR 0.9, 95% CI: 0.84, 0.97) were associated with lower odds of care‐resistant behavior.DISCUSSIONInterventions to manage care‐resistant behaviors should consider sociocultural factors as well as type of dementia diagnosis to limit caregiver strain and burden.Highlights
Frontotemporal dementia, Lewy body dementia, and Black race were associated with a higher likelihood of exhibiting care‐resistant behavior.
Female sex and higher educational attainment were associated with a lower likelihood of exhibiting care‐resistant behavior.
Differences in specific presentations of care‐resistant behaviors are less understood.