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Understanding Bridging Sites and Accelerating Quantum Efficiency for Photocatalytic CO_(2) Reduction

Nano-Micro Letters 2024年第1期16卷 68-84页

作者： Kangwang Wang Zhuofeng Hu Peifeng Yu Alina M.Balu Kuan Li Longfu Li Lingyong Zeng Chao Zhang Rafael luque Kai Yan Huixia Luo School of Materials Science and Engineering State Key Laboratory of Optoelectronic Materials and TechnologiesGuangdong Provincial Key Laboratory of Magnetoelectric Physics and DevicesKey Lab of Polymer Composite and Functional MaterialsSun Yat-Sen UniversityNo.135Xingang Xi RoadGuangzhou 510275People’s Republic of China School of Environmental Science and Engineering Sun Yat-Sen UniversityNo.135Xingang Xi RoadGuangzhou 510275People’s Republic of China Departamento de Química Orgánica Universidad de CórdobaCampus Universitario de RabanalesEdificio Marie Curie(C3)14014 CórdobaSpain Center for Refining and Advanced Chemicals King Fahd University of Petroleum and Minerals31261 DhahranSaudi Arabia Universidad ECOTEC Km 13.5 SamborondónEC092302 SamborondónEcuador

We report a novel double-shelled nanoboxes photocatalyst architecture with tailored interfaces that accelerate quantum efficiency for photocatalytic CO_(2) reduction reaction(CO_(2)RR)via Mo–S bridging bonds sites in S_(v)–In_(2)S_(3)@2H–MoTe_(2).The X-ray absorption near-edge structure shows that the formation of S_(v)–In_(2)S_(3)@2H–MoTe_(2) adjusts the coordination environment via interface engineering and forms Mo–S polarized sites at the *** interfacial dynamics and catalytic behavior are clearly revealed by ultrafast femtosecond transient absorption,time-resolved,and in situ diffuse reflectance–Infrared Fourier transform spectroscopy.A tunable electronic structure through steric interaction of Mo–S bridging bonds induces a 1.7-fold enhancement in S_(v)–In_(2)S_(3)@2H–MoTe_(2)(5)photogenerated carrier concentration relative to pristine S_(v)–In_(2)S_(3).Benefiting from lower carrier transport activation energy,an internal quantum efficiency of 94.01%at 380 nm was used for photocatalytic CO_(2)*** study proposes a new strategy to design photocatalyst through bridging sites to adjust the selectivity of photocatalytic CO_(2)RR.

关键词： Quantum efficiency Electronic structure Steric interaction Bridging sites CO_(2)reduction

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Guest Editorial:Knowledge‐based deep learning system in bio‐medicine

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 787-789页

作者： Yu‐Dong Zhang Juan manuel Górriz University of Leicester LeicesterUK University of Granada GranadaSpain

Numerous healthcare procedures can be viewed as medical sector *** the modern era,computers have become indispensable in the realm of medical decision‐***-ever,the common view of computers in the medical field typically extends only to applications that support doctors in diagnosing *** more tightly intertwine computers with the biomedical sciences,professionals are now more frequently utilising knowledge‐driven deep learning systems(KDLS)and their foundational technologies,especially in the domain of neuroimaging(NI).

关键词： learning computer doctor

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Areas of research and clinical approaches to the study of liver abscess

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World Journal of Gastroenterology 2017年第2期23卷 357-365页

作者： Gregorio gonzález-Alcaide Jorge Peris josé manuel Ramos Department of History of Science and Documentation University of Valencia Deparment of Internal Medicine Hospital Universitario Sant Joan d’Alacant Departament of Clinical Medicine Universidad Miguel Hernández de Elche Department of Internal Medicine Hospital General Universitario de Alicante

AIMTo analyze the research activity on liver abscess (LA) and identify the main topic clusters in the *** identified all documents using the medical subject heading “LA” indexed in the MEDLINE database between 2001 and 2015. We performed a descriptive bibliometric analysis, characterizing the evolution of scientific activity, the publication types of the documents, the document categories of clinical interest (case reports, clinical trials, evaluation studies, meta-analysis, observational studies, practice guidelines and validation studies) and the geographic distribution of the research. We also carried out an analysis of networks and research clusters in order to identify the main topic areas of *** search yielded a total of 1278 documents, showing a stable scientific production over the study period and a marked multidisciplinary nature. The research was dominated by case reports (65.9% of the documents analyzed). In terms of geographic distribution, researchers from the United States led in the number of signatures (n = 229), followed by those from Taiwan (n = 185), India (n = 145), Japan (n = 144), South Korea (n = 100), and China (n = 84). With regard to amebic LA, the top-producing countries were India and Mexico (n = 69 each), followed by the United States (n = 29). In the case of pyogenic LA, Taiwan Residents researchers led scientific production (n = 71), followed by the United States (n = 39) and China (n = 29). The most active areas of research in the field are diagnosis via computerized tomography scan, differential diagnosis with regard to liver cancer, treatment with antimicrobial agents, and Klebsiella infections (including bacteremia).CONCLUSIONClinical case reports associated with diagnosis and treatment are the main topic of study, highlighting the importance of this document type in advancing knowledge.

关键词： Liver abscess Cluster analysis Amebic abscess Pyogenic abscess Bibliometrics

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Endoscopic ultrasound-guided gastroenterostomy for gastric outlet obstruction in Mexico

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World Journal of Surgical Procedures 2024年第3期14卷 15-20页

作者： Massiel Madelin Rosario-Morel Rodrigo Soto-Solis Katia Picazo-Ferrera Miriam Idalia Torres-Ruiz joséAlberto Estradas-Trujillo Mario Alberto Gallardo-Ramírez Gerardo Akram Darwich-del Moral Luis Ariel Waller-gonzález Department of Endoscopy Centro Médico Nacional“20 de Noviembre”ISSSTEMexico City 03229Mexico Department of Gastroenterology HospitalÁngeles PedregalMexico City 10700Mexico Department of Endoscopy Centro Médico ABCMexico City 01120Mexico Department of Endoscopy Hospital General de México“Dr.Eduardo Liceaga”Mexico City 06720Mexico

BACKGROUND Endoscopic ultrasound-guided gastroenterostomy(EUS-GE)has recently emerged as an alternative treatment for gastric outlet obstruction(GOO)in selected *** To report the initial experience of EUS-GE in patients with *** This study was a retrospective,observational,multicenter study in which the data from 10 patients who underwent EUS-GE due to GOO between September 2021 and May 2023 were *** analyzed technical success,clinical success,adverse events,and *** success was defined as adequate positioning and deployment of the *** success was defined as the patient’s ability to tolerate oral intake without vomiting 7 d after the *** adverse events were *** Eleven procedures in 10 patients with GOO were *** mean age of the patients was 67.5 years(range:56-77 years).Malignant GOO was present in 9 *** success was achieved in 9/11 procedures(82%).Among them,clinical success was achieved in 9 patients(100%).Adverse events occurred in 1 patient(9%).The median survival was 3 months(n=7;range:1-8 months).CONCLUSION EUS-GE is a feasible therapeutic option in the treatment of GOO.

关键词： Endoscopic ultrasound-guided gastroenterostomy Gastric outlet obstruction Lumen apposing metal stent Interventional endoscopic ultrasound Gastrojejunostomy Duodenal stenting

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Audio Enhancement for Computer Audition—An Iterative Training Paradigm Using Sample Importance

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Journal of Computer Science & Technology 2024年第4期39卷 895-911页

作者： manuel Milling Shuo Liu Andreas Triantafyllopoulos Ilhan Aslan Björn W.Schuller Chair of Embedded Intelligence for Health Care and Wellbeing University of AugsburgAugsburg 86159Germany Chair of Health Informatics München rechts der IsarTechnical University of MunichMunich 81675Germany Munich Center for Machine Learning Munich 80333Germany Huawei Technologies MunichMunich 80992Germany Munich Data Science Institute Garching 85748Germany Group on Language Audio and MusicImperial College LondonLondon SW72AZU.K.

Neural network models for audio tasks,such as automatic speech recognition(ASR)and acoustic scene classification(ASC),are susceptible to noise contamination for real-life *** improve audio quality,an enhancement module,which can be developed independently,is explicitly used at the front-end of the target audio *** this paper,we present an end-to-end learning solution to jointly optimise the models for audio enhancement(AE)and the subsequent *** guide the optimisation of the AE module towards a target application,and especially to overcome difficult samples,we make use of the sample-wise performance measure as an indication of sample *** experiments,we consider four representative applications to evaluate our training paradigm,i.e.,ASR,speech command recognition(SCR),speech emotion recognition(SER),and *** applications are associated with speech and nonspeech tasks concerning semantic and non-semantic features,transient and global information,and the experimental results indicate that our proposed approach can considerably boost the noise robustness of the models,especially at low signal-to-noise ratios,for a wide range of computer audition tasks in everyday-life noisy environments.

关键词： audio enhancement computer audition joint optimisation multi-task learning voice suppression

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Interindividual Age-Independent Differences in Human CX43 Impact Ventricular Arrhythmic Risk

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Research 2024年第3期6卷 417-432页

作者： Laura García-Mendívil María Pérez-Zabalza Antoni Oliver-Gelabert joséMaría Vallejo-Gil Javier Fañanás-Mastral manuel Vázquez-Sancho Javier AndréBellido-Morales Alexánder Sebastián Vaca-Núñez Carlos Ballester-Cuenca Emiliano Diez Laura Ordovás Esther Pueyo Biomedical Signal Interpretation and Computational Simulation group(BSICoS) Aragón Institute of Engineering ResearchUniversity of ZaragozaZaragoza 50018Spain BSICoS Instituto de Investigación Sanitaria Aragón(IISA)Zaragoza 50018Spain Centro Universitario de la Defensa(CUD) Zaragoza 50090Spain. Department of Cardiovascular Surgery University Hospital Miguel ServetZaragoza 50009Spain. Institute of Experimental Medicine and Biology of Cuyo(IMBECU) CONICETMendoza 5500Argentina. Fundación Agencia Aragonesa para la Investigación y el Desarrollo(ARAID) Zaragoza 50018Spain. Biomedical Research Networking Center in Bioengineering Biomaterials and Nanomedicine(CIBER-BBN)Zaragoza 50018Spain.

Connexin 43 (CX43) is one of the major components of gap junctions, the structures responsible for the intercellular communication and transmission of the electrical impulse in the left ventricle. There is limited information on the histological changes of CX43 with age and their effect on electrophysiology, especially in humans. Here, we analyzed left ventricular biopsies from living donors starting at midlife to characterize age-related CX43 remodeling. We assessed its quantity, degree of lateralization, and spatial heterogeneity together with fibrotic deposition. We observed no significant age-related remodeling of CX43. Only spatial heterogeneity increased slightly with age, and this increase was better explained by biological age than by chronological age. Importantly, we found that CX43 features varied considerably among individuals in our population with no relevant relationship to age or fibrosis content, in contrast to animal species. We used our experimental results to feed computational models of human ventricular electrophysiology and to assess the effects of interindividual differences in specific features of CX43 and fibrosis on conduction velocity, action potential duration, and arrhythmogenicity. We found that larger amounts of fibrosis were associated with the highest arrhythmic risk, with this risk being increased when fibrosis deposition was combined with a reduction in CX43 amount and/or with an increase in CX43 spatial heterogeneity. These mechanisms underlying high arrhythmic risk in some individuals were not associated with age in our study population. In conclusion, our data rule out CX43 remodeling as an age-related arrhythmic substrate in the population beyond midlife, but highlight its potential as a proarrhythmic factor at the individual level, especially when combined with increased fibrosis.

关键词： CX43 rhythm Independent

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GAN‐MD:A myocarditis detection using multi‐channel convolutional neural networks and generative adversarial network‐based data augmentation

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 866-878页

作者： Hengame Ahmadi Golilarz Alireza Azadbar Roohallah Alizadehsani Juan manuel Gorriz Department of Medical Radiation Engineering Faculty of EngineeringLahijan BranchIslamic Azad UniversityLahijanIran Department of Medical Radiation Engineering Lahijan BranchIslamic Azad UniversityLahijanIran Institute for Intelligent Systems Research and Innovation(IISRI) Deakin UniversityWaurn PondsVictoriaAustralia Data Science and Computational Intelligence Institute University of GranadaGranadaSpain

Myocarditis is a significant public health concern because of its potential to cause heart failure and sudden *** standard invasive diagnostic method,endomyocardial bi-opsy,is typically reserved for cases with severe complications,limiting its widespread ***,non‐invasive cardiac magnetic resonance(CMR)imaging presents a promising alternative for detecting and monitoring myocarditis,because of its high signal contrast that reveals myocardial *** assist medical professionals via artificial intelligence,the authors introduce generative adversarial networks‐multi discriminator(GAN‐MD),a deep learning model that uses binary classification to diagnose myocarditis from CMR *** approach employs a series of convolutional neural networks(CNNs)that extract and combine feature vectors for accurate *** authors suggest a novel technique for improving the classification precision of *** generative adversarial networks(GANs)to create synthetic images for data augmentation,the authors address challenges such as mode collapse and unstable *** a reconstruction loss into the GAN loss function requires the generator to produce images reflecting the discriminator features,thus enhancing the generated images'quality to more accurately replicate authentic data ***,combining this loss function with other reg-ularisation methods,such as gradient penalty,has proven to further improve the perfor-mance of diverse GAN models.A significant challenge in myocarditis diagnosis is the imbalance of classification,where one class dominates over the *** mitigate this,the authors introduce a focal loss‐based training method that effectively trains the model on the minority class *** GAN‐MD approach,evaluated on the Z‐Alizadeh Sani myocarditis dataset,achieves superior results(F‐measure 86.2%;geometric mean 91.0%)compared with other deep learning models and traditional machine learning methods.

关键词： 2‐D 3‐D

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Microglial complex I activity: a crucial factor for smoldering inflammation in the central nervouss system

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Signal Transduction and Targeted Therapy 2024年第8期9卷 3165-3166页

作者： Jana K.Sonner Christina Mayer manuel A.Friese Institute of Neuroimmunology and Multiple Sclerosis University Medical Center Hamburg-EppendorfHamburgGermany

In their article published in Nature,Peruzotti-Jametta et *** metabolic reprogramming of microglia as a defining characteristic of their persistent and harmful activation during inflammatory neurodegeneration,which is observable in conditions like multiple sclerosis(MS).Subsequently,the authors demonstrate how mitigating mitochondrial dysregulation in microglia alleviates disease progression in an animal model of MS,thereby unveiling a potential novel target for the treatment of MS(Fig.1).

关键词： inflammation al. thereby

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Comparing Fine-Tuning, Zero and Few-Shot Strategies with Large Language Models in Hate Speech Detection in English

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2849-2868页

作者： Ronghao Pan joséAntonio García-Díaz Rafael Valencia-García Departamento de Informática y Sistemas Universidad de MurciaCampus de EspinardoMurcia30100Spain

Large Language Models(LLMs)are increasingly demonstrating their ability to understand natural language and solve complex tasks,especially through text *** of the relevant capabilities is contextual learning,which involves the ability to receive instructions in natural language or task demonstrations to generate expected outputs for test instances without the need for additional training or gradient *** recent years,the popularity of social networking has provided a medium through which some users can engage in offensive and harmful online *** this study,we investigate the ability of different LLMs,ranging from zero-shot and few-shot learning to *** experiments show that LLMs can identify sexist and hateful online texts using zero-shot and few-shot approaches through information ***,it is found that the encoder-decoder model called Zephyr achieves the best results with the fine-tuning approach,scoring 86.811%on the Explainable Detection of Online Sexism(EDOS)test-set and 57.453%on the Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter(HatEval)***,it is confirmed that the evaluated models perform well in hate text detection,as they beat the best result in the HatEval task *** error analysis shows that contextual learning had difficulty distinguishing between types of hate speech and figurative ***,the fine-tuned approach tends to produce many false positives.

关键词： Hate speech detection zero-shot few-shot fine-tuning natural language processing

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Spatial and temporal patterns of forest fires in the Central Monte:relationships with regional climate

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Ecological Processes 2024年第01期13卷 66-79页

作者： Pablo Eugenio Villagra Erica Cesca Leandro manuel Alvarez Silvia Delgado Ricardo Villalba Instituto Argentino de Nivología Glaciología y Ciencias Ambientales–CONICET-CCT Mendoza Facultad de Ciencias Agrarias Universidad Nacional de Cuyo

Background Natural and anthropogenic wildfires burn large areas of arid and semi-arid forests with significant socio-economic and environmental impacts. Fire regimes are controlled by climate, vegetation type, and anthropogenic factors such as ignition sources and human-induced disturbances. Projections of climate and land-use change suggest that these controlling factors will change, altering fire regimes in the near future. In the southern Central Monte, Mendoza, Argentina, the factors that modulate the fire temporal and spatial variability are poorly understood. We reconstructed the fire history of southeast of Mendoza from 1984 to 2023 and investigated the relationships between fire extent and climate variability at seasonal and interannual scales. Burned areas were determined using Google Earth Engine by processing Landsat 5-TM, Landsat 7-ETM+, and Landsat 8-OLI-TIRS sensor *** The region exhibited high spatial and temporal variability in fire occurrence, being a mosaic of areas with different fire histories and recovery times. Between 1985 and 2023, fire recurrence ranged from sites unburned to sites with up to 14 fires. The occurrence of large fires was strongly favored by a combination of a year with abundant spring–early summer precipitation, which favors fuel accumulation, followed by a year of low spring–early summer precipitation. Precipitation and burnt area showed a very pronounced 6–7 year cycle, suggesting a dominant climatic control on fire *** Fire distribution in southeastern Mendoza forests is not homogeneous, resulting in a mosaic of patches with different fire histories. This heterogeneity may be related to vegetation patterns and land use. The temporal variability of fires is strongly influenced by climate variability, which would promote fuel production and subsequent drying. Large fires are concentrated in periods of high interannual precipitation variability. Climate change scenarios predict an increase in tem

关键词： Fire recurrence Fire mapping Recovery time Climate Dry forest Wildfire

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