bluuebunny/crossref_metadata_2025_split huggingface dataset:
A New Polar Lead‐Free Hybrid Halide X‐Ray Scintillator
Authors: Wang Yu‐Yin , Song Wei‐Ting , Yao Xin‐Ran , Chen Xiang‐Yu , Cheng Ming‐Tao , Jia Guo‐Hao , Liu He‐Zhi , Liu Xiao‐Tong , Yang Hui‐Hui , Qi Chong‐Hai , Lin Guo‐Ming 
Published: June 2024

AbstractX‐ray imaging serves a critical role across diverse sectors, including medical diagnostics, industrial surveillance, security, and space exploration. This study delves into the unique properties of a novel polar crystal, [FMPPA]ZnBr4 (FMPPA = protonated 3‐fluoro‐4‐(4‐methyl‐1‐piperazinyl)aniline), characterized by a 0D metal halide structure. This crystal features [ZnBr4]2− tetrahedra and A‐site organic amine ion [FMPPA]2+ rings. With a high photoluminescence quantum yield (≈70%) and minimal self‐absorption, [FMPPA]ZnBr4 demonstrates exceptional scintillation performance under X‐ray excitation, producing 29300 ± 600 photons MeV−1 and achieving a low detection limit of 0.352 µGyair s−1, surpassing conventional 3D perovskite nanocrystals. Beyond superior performance, this scintillator meets the demand for efficient X‐ray imaging light emitters. Moreover, it consistently achieves ≈12.5 lp mm−1 high‐resolution X‐ray imaging. Additionally, [FMPPA]ZnBr4 exhibits a nonlinear optical response, surpassing the benchmark KH2PO4 by 1.8 times. This investigation introduces a new structure framework, paving the way for the development of integrated optoelectronic materials with both nonlinear and linear optical properties.
Tumor Growth Inhibition and Induced the Immunogenic Death of Tumor Cells in Prostate Tumor Bone Metastases by Photothermal Therapy Mediated with Au Nanoparticles Modified with PDA
Authors: Bin Ran , Zhu Chen , Yunjia Rao , Jin Yan , Jie Wang , Dongqin Xiao , Tao Lin , Gang Feng 
Published: June 2024

AbstractUpon progression to the metastatic stage, prostate tumors commonly exhibit multi‐drug resistance. Combining multiple treatment protocols can be beneficial in overcoming this resistance, which is often attributed to tumor heterogeneity. Recently, nano‐photosensitizer‐mediated photothermal therapy is shown to inhibit tumor growth through multiple pathways, including thermal ablation and activation of the antitumor immune response. In this study, gold nanoparticles (Au) are selected as the core photosensitizer. Then, the photothermal conversion of Au is augmented through dopamine coating, and the chemotherapy drug doxorubicin (DOX) is grafted to the dopamine coating. The release of DOX from DOX‐loaded dopamine‐modified gold nanoparticles (Au@PDA@DOX) occurred in response to an acidic environment. The combination of chemotherapy and thermal ablation better inhibits the growth, migration, and invasion of tumor cells and induced tumor cell apoptosis and necrosis in vitro. More importantly, thermal ablation induces the immunogenic death of prostate tumor cells (RM‐1) cells. The transition of prostate tumors from a “cold” to a “hot” tumor with immunogenicity is observed. The combination effectively activates the antitumor immune response, inhibits tumor growth, and alleviated bone damage by tumors in vivo. It is indicated that Au@PDA@DOX nanoparticles will offer a novel treatment protocol for prostate tumor bone metastases.
Systematic Selection of High‐Affinity ssDNA Sequences to Carbon Nanotubes
Authors: Lee Dakyeon , Lee Jaekang , Kim Woojin , Suh Yeongjoo , Park Jiwoo , Kim Sungjee , Kim YongJoo , Kwon Sunyoung , Jeong Sanghwa 
Published: June 2024

AbstractSingle‐walled carbon nanotubes (SWCNTs) have gained significant interest for their potential in biomedicine and nanoelectronics. The functionalization of SWCNTs with single‐stranded DNA (ssDNA) enables the precise control of SWCNT alignment and the development of optical and electronic biosensors. This study addresses the current gaps in the field by employing high‐throughput systematic selection, enriching high‐affinity ssDNA sequences from a vast random library. Specific base compositions and patterns are identified that govern the binding affinity between ssDNA and SWCNTs. Molecular dynamics simulations validate the stability of ssDNA conformations on SWCNTs and reveal the pivotal role of hydrogen bonds in this interaction. Additionally, it is demonstrated that machine learning could accurately distinguish high‐affinity ssDNA sequences, providing an accessible model on a dedicated webpage (http://service.k‐medai.com/ssdna4cnt). These findings open new avenues for high‐affinity ssDNA‐SWCNT constructs for stable and sensitive molecular detection across diverse scientific disciplines.
Solid‐State Electrochemical Thermal Switches with Large Thermal Conductivity Switching Widths
Authors: Bian Zhiping , Yoshimura Mitsuki , Jeong Ahrong , Li Haobo , Endo Takashi , Matsuo Yasutaka , Magari Yusaku , Tanaka Hidekazu , Ohta Hiromichi 
Published: June 2024

AbstractThermal switches that switch the thermal conductivity (κ) of the active layers are attracting increasing attention as thermal management devices. For electrochemical thermal switches, several transition metal oxides (TMOs) are proposed as active layers. After electrochemical redox treatment, the crystal structure of the TMO is modulated, which results in the κ switching. However, the κ switching width is still small (<4 W m−1 K−1). In this study, it demonstrates that LaNiOx‐based solid‐state electrochemical thermal switches have a κ switching width of 4.3 W m−1 K−1. Fully oxidized LaNiO3 (on state) has a κ of 6.0 W m−1 K−1 due to the large contribution of electron thermal conductivity (κele, 3.1 W m−1 K−1). In contrast, reduced LaNiO2.72 (off state) has a κ of 1.7 W m−1 K−1 because the phonons are scattered by the oxygen vacancies. The LaNiOx‐based electrochemical thermal switch is cyclable of κ and the crystalline lattice of LaNiOx. This electrochemical thermal switch may be a promising platform for next‐generation devices such as thermal displays.
Nanoplasmonic Single‐Tumoroid Microarray for Real‐Time Secretion Analysis
Authors: Liu Yen‐Cheng , Ansaryan Saeid , Tan Jiayi , Broguiere Nicolas , Lorenzo‐Martín Luis Francisco , Homicsko Krisztian , Coukos George , Lütolf Matthias P. , Altug Hatice 
Published: June 2024

AbstractOrganoid tumor models have emerged as a powerful tool in the fields of biology and medicine as such 3D structures grown from tumor cells recapitulate better tumor characteristics, making these tumoroids unique for personalized cancer research. Assessment of their functional behavior, particularly protein secretion, is of significant importance to provide comprehensive insights. Here, a label‐free spectroscopic imaging platform is presented with advanced integrated optofluidic nanoplasmonic biosensor that enables real‐time secretion analysis from single tumoroids. A novel two‐layer microwell design isolates tumoroids, preventing signal interference, and the microarray configuration allows concurrent analysis of multiple tumoroids. The dual imaging capability combining time‐lapse plasmonic spectroscopy and bright‐field microscopy facilitates simultaneous observation of secretion dynamics, motility, and morphology. The integrated biosensor is demonstrated with colorectal tumoroids derived from both cell lines and patient samples to investigate their vascular endothelial growth factor A (VEGF‐A) secretion, growth, and movement under various conditions, including normoxia, hypoxia, and drug treatment. This platform, by offering a label‐free approach with nanophotonics to monitor tumoroids, can pave the way for new applications in fundamental biological studies, drug screening, and the development of therapies.
Reference Electrode Types for Zero‐Gap CO2 Electrolyzers: Benefits and Limitations
Authors: Bohn Luca , Kieninger Jochen , Rupitsch Stefan J. , Klose Carolin , Vierrath Severin , Disch Joey 
Published: June 2024

AbstractIntegrated reference electrodes allow to deconvolute voltage contributions of anode and cathode and contribute to a better understanding of CO2 electrolyzers. However, in zero‐gap cell configurations, this integration can be challenging and obtaining error‐free data with such a setup is a non‐trivial task. This study compares five different methods to integrate a reference electrode into an alkaline zero‐gap CO2 electrolysis cell. Sources of error and measures to circumvent them are investigated and finite‐element simulation is used to gain a better understanding of observed effects. Placing a reference electrode into the inactive area of the cell is found to be a reliable method, as long as the placement of electrodes is sufficiently controlled. Sandwiching a wire quasi‐reference electrode between two membranes is especially useful for electrochemical impedance spectroscopy; however, it can affect the overall cell performance. Contacting the catalyst layer from the backside with a salt‐bridge is promising for localized measurements if sufficient reproducibility can be ensured.
Ice‐Enabled Transfer of Graphene on Copper Substrates Enhanced by Electric Field and Cu2O
Authors: Ma Hechuan , Chen Xiaoming , Han Yufei , Zhang Jie , Wen Kaiqiang , Cheng Siyi , Zhao Quanyi , Wang Yijie , Wu Jianyang , Shao Jinyou 
Published: June 2024

AbstractGraphene films grown by the chemical vapor deposition (CVD) method suffer from contamination and damage during transfer. Herein, an innovative ice‐enabled transfer method under an applied electric field and in the presence of Cu2O (or Cu2O‐Electric‐field Ice Transfer, abbreviated as CEIT) is developed. Ice serves as a pollution‐free transfer medium while water molecules under the electric field fully wet the graphene surface for a bolstered adhesion force between the ice and graphene. Cu2O is used to reduce the adhesion force between graphene and copper. The combined methodology in CEIT ensures complete separation and clean transfer of graphene, resulting in successfully transferred graphene to various substrates, including polydimethylsiloxane (PDMS), Teflon, and C4F8 without pollution. The graphene obtained via CEIT is utilized to fabricate field‐effect transistors with electrical performances comparable to that of intrinsic graphene characterized by small Dirac points and high carrier mobility. The carrier mobility of the transferred graphene reaches 9090 cm2 V−1 s−1, demonstrating a superior carrier mobility over that from other dry transfer methods. In a nutshell, the proposed clean and efficient transfer method holds great potential for future applications of graphene.
Small Molecule MIF Modulation Enhances Ferroptosis by Impairing DNA Repair Mechanisms
Authors: Chen Deng , Zhao Chunlong , Zhang Jianqiu , Knol Catharina W. J. , Osipyan Angelina , Majerníková Nad'a , Chen Tingting , Xiao Zhangping , Adriana Jeaunice , Griffith Andrew J. , Gamez Abel Soto , van der Wouden Petra E. , Coppes Robert P. , Dolga Amalia M. , Haisma Hidde J. , Dekker Frank J. 
Published: June 2024

AbstractFerroptosis is a form of regulated cell death that can be modulated by small molecules and has the potential for the development of therapeutics for oncology. Although excessive lipid peroxidation is the defining hallmark of ferroptosis, DNA damage may also play a significant role. In this study, a potential mechanistic role for MIF in homologous recombination (HR) DNA repair is identified. The inhibition or genetic depletion of MIF or other HR proteins, such as breast cancer type 1 susceptibility protein (BRCA1), is demonstrated to significantly enhance the sensitivity of cells to ferroptosis. The interference with HR results in the translocation of the tumor suppressor protein p53 to the mitochondria, which in turn stimulates the production of reactive oxygen species. Taken together, the findings demonstrate that MIF‐directed small molecules enhance ferroptosis via a putative MIF‐BRCA1‐RAD51 axis in HR, which causes resistance to ferroptosis. This suggests a potential novel druggable route to enhance ferroptosis by targeted anticancer therapeutics in the future.
Surface‐Enhanced Raman Scattering Imaging Assisted by Machine Learning Analysis: Unveiling Pesticide Molecule Permeation in Crop Tissues
Authors: Wang Xiaotong , Sun Xiaomeng , Liu Zhehan , Zhao Yue , Wu Guangrun , Wang Yunpeng , Li Qian , Yang Chunjuan , Ban Tao , Liu Yu , Huang Jian‐an , Li Yang 
Published: June 2024

AbstractSurface‐enhanced Raman scattering (SERS) imaging technology faces significant technical bottlenecks in ensuring balanced spatial resolution, preventing image bias induced by substrate heterogeneity, accurate quantitative analysis, and substrate preparation that enhances Raman signal strength on a global scale. To systematically solve these problems, artificial intelligence techniques are applied to analyze the signals of pesticides based on 3D and dynamic SERS imaging. Utilizing perovskite/silver nanoparticles composites (CaTiO3/Ag@BONPs) as enhanced substrates, enabling it not only to cleanse pesticide residues from the surface to pulp of fruits and vegetables, but also to investigate the penetration dynamics of an array of pesticides (chlorpyrifos, thiabendazole, thiram, and acetamiprid). The findings challenge existing paradigms, unveiling a previously unnoticed weakening process during pesticide invasion and revealing the surprising permeability of non‐systemic pesticides. Of particular note is easy to overlook that the combined application of pesticides can inadvertently intensify their invasive capacity due to pesticide interactions. The innovative study delves into the realm of pesticide penetration, propelling a paradigm shift in the understanding of food safety. Meanwhile, this strategy provides strong support for the cutting‐edge application of SERS imaging technology and also brings valuable reference and enlightenment for researchers in related fields.
On The Thermal Conductivity of Conjugated Polymers for Thermoelectrics
Authors: Rodríguez‐Martínez Xabier , Saiz Fernan , Dörling Bernhard , Marina Sara , Guo Jiali , Xu Kai , Chen Hu , Martin Jaime , McCulloch Iain , Rurali Riccardo , Reparaz Juan Sebastian , Campoy‐Quiles Mariano 
Published: June 2024

AbstractThe thermal conductivity (κ) governs how heat propagates in a material, and thus is a key parameter that constrains the lifetime of optoelectronic devices and the performance of thermoelectrics (TEs). In organic electronics, understanding what determines κ has been elusive and experimentally challenging. Here, by measuring κ in 17 π‐conjugated materials over different spatial directions, it is statistically shown how microstructure unlocks two markedly different thermal transport regimes. κ in long‐range ordered polymers follows standard thermal transport theories: improved ordering implies higher κ and increased anisotropy. κ increases with stiffer backbones, higher molecular weights and heavier repeat units. Therein, charge and thermal transport go hand‐in‐hand and can be decoupled solely via the film texture, as supported by molecular dynamics simulations. In largely amorphous polymers, however, κ correlates negatively with the persistence length and the mass of the repeat unit, and thus an anomalous, albeit useful, behavior is found. Importantly, it is shown that for quasi‐amorphous co‐polymers (e.g., IDT‐BT) κ decreases with increasing charge mobility, yielding a 10‐fold enhancement of the TE figure‐of‐merit ZT compared to semi‐crystalline counterparts (under comparable electrical conductivities). Finally, specific material design rules for high and low κ in organic semiconductors are provided.
Prediction of Alzheimer's disease progression within 6 years using speech: A novel approach leveraging language models
Authors: Amini Samad , Hao Boran , Yang Jingmei , Karjadi Cody , Kolachalama Vijaya B. , Au Rhoda , Paschalidis Ioannis C. 
Published: June 2024

AbstractINTRODUCTIONIdentification of individuals with mild cognitive impairment (MCI) who are at risk of developing Alzheimer's disease (AD) is crucial for early intervention and selection of clinical trials.METHODSWe applied natural language processing techniques along with machine learning methods to develop a method for automated prediction of progression to AD within 6 years using speech. The study design was evaluated on the neuropsychological test interviews of n = 166 participants from the Framingham Heart Study, comprising 90 progressive MCI and 76 stable MCI cases.RESULTSOur best models, which used features generated from speech data, as well as age, sex, and education level, achieved an accuracy of 78.5% and a sensitivity of 81.1% to predict MCI‐to‐AD progression within 6 years.DISCUSSIONThe proposed method offers a fully automated procedure, providing an opportunity to develop an inexpensive, broadly accessible, and easy‐to‐administer screening tool for MCI‐to‐AD progression prediction, facilitating development of remote assessment.Highlights
Voice recordings from neuropsychological exams coupled with basic demographics can lead to strong predictive models of progression to dementia from mild cognitive impairment.
The study leveraged AI methods for speech recognition and processed the resulting text using language models.
The developed AI‐powered pipeline can lead to fully automated assessment that could enable remote and cost‐effective screening and prognosis for Alzehimer's disease.
Cerebrospinal fluid p‐tau181, 217, and 231 in definite Creutzfeldt–Jakob disease with and without concomitant pathologies
Authors: Emeršič Andreja , Ashton Nicholas J. , Vrillon Agathe , Lantero‐Rodriguez Juan , Mlakar Jernej , Gregorič Kramberger Milica , Gonzalez‐Ortiz Fernando , Kac Przemysław R. , Dulewicz Maciej , Hanrieder Jörg , Vanmechelen Eugeen , Rot Uroš , Zetterberg Henrik , Karikari Thomas K. , Čučnik Saša , Blennow Kaj 
Published: June 2024

AbstractINTRODUCTIONThe established cerebrospinal fluid (CSF) phosphorylated tau181 (p‐tau181) may not reliably reflect concomitant Alzheimer's disease (AD) and primary age‐related tauopathy (PART) found in Creutzfeldt–Jakob disease (CJD) at autopsy.METHODSWe investigated CSF N‐terminal p‐tau181, p‐tau217, and p‐tau231 with in‐house Simoa assays in definite CJD (n = 29), AD dementia (n = 75), mild cognitive impairment (MCI) due to AD (n = 65), and subjective cognitive decline (SCD, n = 28). Post‐mortem examination performed in patients with CJD 1.3 (0.3–14.3) months after CSF collection revealed no co‐pathology in 10, concomitant AD in 8, PART in 8, and other co‐pathologies in 3 patients.RESULTSN‐terminal p‐tau was increased in CJD versus SCD (p < 0.0001) and correlated with total tau (t‐tau) in the presence of AD and PART co‐pathology (rho = 0.758–0.952, p ≤ 001). Concentrations in CJD+AD were indistinguishable from AD dementia, with the largest fold‐change in p‐tau217 (11.6), followed by p‐tau231 and p‐tau181 (3.2–4.5).DISCUSSIONVariable fold‐changes and correlation with t‐tau suggest that p‐tau closely associates with neurodegeneration and concomitant AD in CJD.Highlights
N‐terminal phosphorylated tau (p‐tau) biomarkers are increased in Creutzfeldt–Jakob disease (CJD) with and without concomitant AD.
P‐tau217, p‐tau231, and p‐tau181 correlate with total tau (t‐tau) and increase in the presence of amyloid beta (Aβ) co‐pathology.
N‐terminal p‐tau181 and p‐tau231 in Aβ‐negative CJD show variation among PRNP genotypes.
Compared to mid‐region–targeting p‐tau181, cerebrospinal fluid (CSF) N‐terminal p‐tau has greater potential to reflect post‐mortem neuropathology in the CJD brain.
Lower Prevalence of Asymptomatic Alzheimer's Disease Among Healthy African Americans
Authors: Lah James J. , Tian Ganzhong , Risk Benjamin B. , Hanfelt John J. , Wang Liangkang , Zhao Liping , Hales Chadwick M. , Johnson Erik C.B. , Elmor Morgan B. , Malakauskas Sarah J. , Heilman Craig , Wingo Thomas S. , Dorbin Cornelya D. , Davis Crystal P. , Thomas Tiffany I. , Hajjar Ihab M. , Levey Allan I. , Parker Monica W. 
Published: June 2024

ObjectiveAlzheimer's disease (AD) is believed to be more common in African Americans (AA), but biomarker studies in AA populations are limited. This report represents the largest study to date examining cerebrospinal fluid AD biomarkers in AA individuals.MethodsWe analyzed 3,006 cerebrospinal fluid samples from controls, AD cases, and non‐AD cases, including 495 (16.5%) self‐identified black/AA and 2,456 (81.7%) white/European individuals using cutoffs derived from the Alzheimer's Disease Neuroimaging Initiative, and using a data‐driven multivariate Gaussian mixture of regressions.ResultsDistinct effects of race were found in different groups. Total Tauand phospho181‐Tau were lower among AA individuals in all groups (p < 0.0001), and Aβ42 was markedly lower in AA controls compared with white controls (p < 0.0001). Gaussian mixture of regressions modeling of cerebrospinal fluid distributions incorporating adjustments for covariates revealed coefficient estimates for AA race comparable with 2‐decade change in age. Using Alzheimer's Disease Neuroimaging Initiative cutoffs, fewer AA controls were classified as biomarker‐positive asymptomatic AD (8.0% vs 13.4%). After adjusting for covariates, our Gaussian mixture of regressions model reduced this difference, but continued to predict lower prevalence of asymptomatic AD among AA controls (9.3% vs 13.5%).InterpretationAlthough the risk of dementia is higher, data‐driven modeling indicates lower frequency of asymptomatic AD in AA controls, suggesting that dementia among AA populations may not be driven by higher rates of AD. ANN NEUROL 2024;96:463–475
Golden Hour Intravenous Thrombolysis for Acute Ischemic Stroke: A Systematic Review and Meta‐Analysis
Authors: Al‐Ajlan Fahad S. , Alkhiri Ahmed , Alamri Aser F. , Alghamdi Basil A. , Almaghrabi Ahmed A. , Alharbi Abdullah R. , Alansari Nayef , Almilibari Ahmed Z. , Hussain M. Shazam , Audebert Heinrich J. , Grotta James C. , Shuaib Ashfaq , Saver Jeffrey L. , Alhazzani Adel 
Published: June 2024

ObjectivesThe benefits of intravenous thrombolysis are time‐dependent, with maximum efficacy when administered within the first “golden” hour after onset. Nevertheless, the impact of golden hour thrombolysis has not been well quantified.MethodsMedline, Embase, and Web of Science databases were systematically searched from inception to August 27, 2023. We included studies that reported safety and efficacy outcomes of ischemic stroke patients treated with intravenous thrombolysis in the golden hour versus later treatment window. The primary outcome was an excellent functional outcome, defined as a modified Rankin Scale score of 0–1 at 90 days. The secondary efficacy outcome was a good functional outcome (defined as modified Rankin Scale score of 0–2). The main safety outcome was symptomatic intracerebral hemorrhage.ResultsSeven studies involving 78,826 patients met the selection criteria. Golden hour thrombolysis was associated with higher odds of 90‐day excellent functional outcomes (OR 1.40, 95% CI 1.16–1.67) and 90‐day good functional outcomes (OR 1.38, 95% CI 1.13–1.69) compared with thrombolysis outside the golden hour. The number needed to treat to benefit for golden hour thrombolysis to reduce disability by at least 1 level on the modified Rankin Scale per patient was 2.6. Rates of symptomatic intracerebral hemorrhage and mortality were similar between groups.InterpretationGolden hour thrombolysis significantly improved acute ischemic stroke outcomes. The findings provide rationale for intensive efforts aimed at expediting thrombolytic therapy within the golden hour window following the onset of acute ischemic stroke. ANN NEUROL 2024;96:582–590