bluuebunny/crossref_metadata_2025_split huggingface dataset:
A hybrid interval‐valued time series prediction model incorporating intuitionistic fuzzy cognitive map and fuzzy neural network
Authors: Zhang Jiajia , Tao Zhifu , Liu Jinpei , Liu Xi , Chen Huayou 
Published: August 2024

AbstractThe definition of interval‐valued time series is now a valid tool that can be used to model uncertainty with known numerical bounds. However, how to provide accurate predictions of interval‐valued time series remains an open problem. The goal of this paper is to develop a hybrid interval‐valued time series prediction model that incorporates an intuitionistic fuzzy cognitive map and a fuzzy neural network. The causal relationship and adjacency matrix among nodes of the intuitionistic fuzzy cognitive map are defined and quantified using mutual subsethhood, in which the hesitation weight is added to the connection weight among concept nodes. The approach directly constructs concept nodes and a weight matrix for automatic recognition of intuitionistic fuzzy cognitive maps from original sequence data and combines the particle swarm optimization algorithm and back propagation algorithm to run with less manual intervention. The confidence intervals of forecasted interval values are also discussed. The developed prediction model is applied to forecast interval‐valued financial time series (i.e., the Nasdaq‐100 stock index), which is composed of daily minimum price and maximum price. The feasibility and validity of the proposed developed prediction model are shown through comparisons with some existing prediction models on interval‐valued time series.
Astrocytic centrin‐2 expression in entorhinal cortex correlates with Alzheimer's disease severity
Authors: Degl'Innocenti Elisa , Poloni Tino Emanuele , Medici Valentina , Olimpico Francesco , Finamore Francesco , Profka Xhulja , Bascarane Karouna , Morrone Castrese , Pastore Aldo , Escartin Carole , McDonnell Liam A. , Dell'Anno Maria Teresa 
Published: August 2024

AbstractAstrogliosis is a condition shared by acute and chronic neurological diseases and includes morphological, proteomic, and functional rearrangements of astroglia. In Alzheimer's disease (AD), reactive astrocytes frame amyloid deposits and exhibit structural changes associated with the overexpression of specific proteins, mostly belonging to intermediate filaments. At a functional level, amyloid beta triggers dysfunctional calcium signaling in astrocytes, which contributes to the maintenance of chronic neuroinflammation. Therefore, the identification of intracellular players that participate in astrocyte calcium signaling can help unveil the mechanisms underlying astrocyte reactivity and loss of function in AD. We have recently identified the calcium‐binding protein centrin‐2 (CETN2) as a novel astrocyte marker in the human brain and, in order to determine whether astrocytic CETN2 expression and distribution could be affected by neurodegenerative conditions, we examined its pattern in control and sporadic AD patients. By immunoblot, immunohistochemistry, and targeted‐mass spectrometry, we report a positive correlation between entorhinal CETN2 immunoreactivity and neurocognitive impairment, along with the abundance of amyloid depositions and neurofibrillary tangles, thus highlighting a linear relationship between CETN2 expression and AD progression. CETN2‐positive astrocytes were dispersed in the entorhinal cortex with a clustered pattern and colocalized with reactive glia markers STAT3, NFATc3, and YKL‐40, indicating a human‐specific role in AD‐induced astrogliosis. Collectively, our data provide the first evidence that CETN2 is part of the astrocytic calcium toolkit undergoing rearrangements in AD and adds CETN2 to the list of proteins that could play a role in disease evolution.
Biomolecule‐responsive polymers and their bio‐applications
Authors: Xiong Yuting , Li Minmin , Qing Guangyan 
Published: August 2024

AbstractPrecise recognition and specific interactions between biomolecules are key prerequisites for ensuring the performance of all actives within living organisms. The convergence of biomolecular recognition systems into synthetic materials could endow the materials with high specificity and biological sensitivity; this, in turn, enables precise drug release, monitoring or detection of important biomolecules, and cell manipulation through targeted capture or release of specific biomolecules. Meanwhile, from the perspective of materials science, the application of conventional polymers in practical biological systems poses several challenges, such as low responsiveness and sensitivity, inadequate targetability, insufficient anti‐interference capacities, and unsatisfactory biocompatibility. These problems could be partly attributed to the polymers' weak discrimination abilities toward target biomolecules in the presence of interfering substances with high abundance. In particular, the proposition of “precision medicine” project raises higher demands for the design of biomaterials in terms of their precision and targetability. Therefore, there is an urgent demand for the development of new‐generation biomaterials with precise recognition and sensitive responsiveness comparable to biomacromolecules. This promotes a new research direction of biomolecule‐responsive polymers and their diverse applications. This review focuses on the origin and construction of biomolecule‐responsive polymers, as well as their attractive applications in drug delivery systems, bio‐detection, bio‐sensing, separation, and enrichment, as well as regulating cell adhesion.
Nationwide registry‐based trial of risk‐stratified cervical screening
Authors: Arroyo Mühr Laila Sara , Wang Jiangrong , Hassan Sadaf S. , Yilmaz Emel , Elfström Miriam K. , Dillner Joakim 
Published: August 2024

AbstractIn well‐screened populations, most cervical cancers arise from small groups of women with inadequate screening. The present study aims to assess whether registry‐based cancer risk assessment could be used to increase screening intensity among high‐risk women. The National Cervical Screening Registry identified the 28,689 women residents in Sweden who had either no previous cervical screening or a screening history indicating high risk. We invited these women by SMS and/or physical letter to order a free human papillomavirus (HPV) self‐sampling kit. The Swedish national HPV reference laboratory performed extended HPV genotyping and referred high‐risk HPV‐positive women to their regional gynecologist. A total of 3691/28,689 (12.9%) women ordered a self‐sampling kit and 10.0% (2853/28,689) returned a sample for testing. Participation among women who had never attended screening was low, albeit improved. Up to 22.5% of women in other high‐risk groups attended. High‐risk HPV types were detected in 8.3% of samples. High‐risk HPV‐positive women (238/2853) were referred without further triaging and severe cervical precancer or cancer (HSIL+) in histopathology were detected in 36/158 (23%) of biopsied women. Repeat invitations gave modest additional participation. Nationwide contacting of women with high risk for cervical cancer with personal invitations to order HPV self‐sampling kits resulted in high yield of detected CIN2+. Further efforts to improve risk‐stratified screening strategies should be directed to improving (i) the precision of the risk‐stratification algorithm, (ii) the convenience for the women to participate and, (iii) ensuring that screen‐positive women are followed‐up.
ANOVA (Benova) correction in relative homogenization: Why it is indispensable
Authors: Domonkos Peter , Joelsson Lars Magnus Torvald 
Published: August 2024

AbstractThis paper reviews the role of ANOVA correction model in the homogenization of climatic time series. In the present context ANOVA has only weak connection to its original meaning (analysis of variance), so we propose the new name “Benova” to replace the confusing old name. In the linear model of Benova corrections (hereafter Benova) the information of statistically detected inhomogeneities and metadata are jointly considered for all time series of a given climatic region. Benova has indisputable advantages on the accuracy of homogenization results, and this has both theoretical and practical evidence. The study presents two principal versions of Benova: in simple Benova the climate signal is presumed to be spatially invariant, while in weighted Benova the spatial variation of climate is considered. In Benova models usually only breaks (i.e., sudden shifts of section mean) are considered, but this restriction has practical reasons, rather than theoretical limits, and the study shows an extended version of the method with which trend‐like inhomogeneity biases can also be removed. Benova can be used for a group of time series covering varied time periods, the operations can be performed in any time resolution, and statistical characteristics others than climatic means can also be homogenized by the method. Benova can be used together with any break detection method. The study discusses the likely reasons of the relatively slow spread in practical application. PRODIGE was the first homogenization method which used Benova corrections. Until now, all homogenization methods including Benova corrections include also the same kind break detection method, i.e., penalized maximum likelihood method with step function fitting. The brief descriptions of two modern methods of this method family, that is, ACMANT and Bart methods, are also provided.
Interdecadal change in the influence of the southern annular mode to the tropical cyclone frequency over the Bay of Bengal
Authors: Mbigi Dickson , Xiao Ziniu 
Published: August 2024

AbstractThe current study investigates the modulation of the tropical cyclone (TC) frequency (TCF) over the Bay of Bengal (BoB) by the southern annular mode (SAM). The analysis reveals that the SAM–TCF relationship during October–November–December has undergone interdecadal changes from significant during 1971–1994 to insignificant during 1995–2021. This contrasting influence of the SAM on the TCF occurrence is also echoed in the large‐scale environmental variables conducive to forming tropical cyclones (TCs). Based on the possible mechanism, we found that the SAM can imprint tripole sea surface temperature (SST) patterns in the southern Indian Ocean via altering surface wind speed from 1971 to 1994. The SAM‐related tripole SST pattern induces the surface‐level anticyclone anomaly, which enhances the south easterlies towards the western equatorial Indian Ocean. Such intensified anomalous wind crosses the equator and diverts towards the east to form the cyclone anomaly in the BoB. Meanwhile, at 200 hPa, the anomalous anticyclone over western Australia induces divergent wind flows over the study region. Consequently, the ascending motion in BoB promotes the tropical cyclone generation. During 1995–2021, however, the SAM is associated with the dipole SST pattern in the southern Indian Ocean. Correspondingly, the SAM‐related dipole SST yields anomalous atmospheric circulations confined to the Southern Hemisphere and eventually fails to impact the formation of TCs in the northern Indian Ocean, where the study region is located. The findings of this research can be useful in advancing our knowledge of the interannual variability of TCs activity in the BoB based on the remote climate signal.
Exploration of Hotel Reservation Through Mobile Online Travel Agencies
Authors: Sun Sunny , Law Rob , Hyun Sunghyup Sean 
Published: August 2024

ABSTRACTThe number of tourists who use smartphones to make hotel reservation is continuously increasing. Nonetheless, only a few studies have investigated the attributes to make hotel reservation via mobile devices (e.g., smartphones). Hence, the present study comprehensively evaluates the attributes to make hotel reservation through mobile online travel agencies (OTAs) based on the web function design framework to identify the perceived important attributes to make hotel reservation via mobile OTAs from the perspective of tourists and to find out the possible factors with specific attributes to measure hotel reservation via mobile OTAs through an online questionnaire survey method. Findings reflect that the perceived important attributes of tourists have changed from those allowing them to meet their hierarchical needs to those supporting their nonhierarchical intertwined needs. In addition, four factors of hotel reservation via mobile OTAs are identified: hotel information provision, relationship and social media, design and layout, and consumer requests.
Artificial‐Intelligence‐Enhanced Mid‐infrared Lab‐on‐a‐Chip for Mixture Spectroscopy Analysis
Authors: Zhou Jingkai , Liu Xinmiao , Zhou Hong , Xu Siyu , Xie Junsheng , Xu Cheng , Liu Weixin , Zhang Zixuan , Lee Chengkuo 
Published: August 2024

AbstractBio/chemical mixture sensing in a water environment is of great importance in sensing applications. Relying on plentiful molecular fingerprints in mid‐infrared (MIR) and high integration potential, nanophotonic waveguide‐based MIR lab‐on‐a‐chip (LoC) provides a miniaturized and versatile solution for specific and label‐free bio/chemical detection. However, it is still challenging to implement an MIR LoC with on‐chip photodetection for chemical sensing in water, due to the strong MIR water absorption and limited MIR on‐chip photodetector scheme, let alone the spectral overlap issue in mixture analysis. Here, a MIR LoC integrating zero‐bias graphene photodetector is reported and the real‐time monitoring of three analytes in water leveraging the MIR LoC is demonstrated. Besides, using machine learning, the on‐chip collected spectra of the ternary mixture in water with 27 mixing ratios are successfully classified with an accuracy of 95.77%. Moreover, concentration prediction of individual analytes in a mixture is performed by developing a convolution regression network for mixture spectrum decomposition: 83.33% of the single‐component concentration predictions are within the 1 vol% error range, and an average root‐mean‐squared error of 1 vol% for mixture concentration predictions is achieved. The MIR LoC offers new opportunities for highly integrated intelligent sensing systems in various sensing scenarios in the Internet of Things era.
Repetition‐Rate and Wavelength Flexible Femtosecond Laser Pulse Generation
Authors: Cheng Zhi , Zhou Jiaqi , Cao Xinru , Cui Shuzhen , Jiang Huawei , Feng Yan 
Published: August 2024

AbstractCompared to mode‐locked oscillators, gain‐switched diodes (GSD) have the key advantage of repetition‐rate agility. Yet, large pulse duration and poor coherence of the GSD pulses greatly limit their applications. Here, a GSD‐pumped Raman fiber amplifier is demonstrated, which can effectively generate femtosecond laser pulses with both repetition‐rate and wavelength agility. It is proved that both nonlinear optical gain and single‐frequency seed in the fiber amplifier play critical roles for improving the coherence of the generated laser pulses. In the experimental demonstration, pumped by 1065 nm GSD pulses, the nonlinear fiber amplifier can generate highly coherent 1121 nm femtosecond Raman pulses with up to 80.2% conversion efficiency. The Raman pulses can maintain high performance within the repetition‐rate tuning range from 1 to 150 MHz. The potential for generating 1178 nm femtosecond Raman pulses is also demonstrated with an optical conversion efficiency of 63.8%. This all‐fiber based femtosecond laser with both repetition‐rate and wavelength agility is a promising light source for applications such as nonlinear microscopy and micromachining.
Interlayer Charge Transition and Broadband Polarization Photodetection and Imaging Based on In2Se3/ReS2 van der Waals Heterostructure
Authors: Ahmad Waqas , Rehman Majeed Ur , Younis Umer , Abbas Aumber , Kazmi Jamal , Suwaidi Omar Husain Al , Samad Yarjan Abdul , Lei Wen , Channa Ali Imran , Liang Qijie , Wang Zhiming 
Published: August 2024

Abstract2D van der Waal (vdWs) heterostructures present unique optoelectronic characteristics, making them favorable layer structures for constructing promising optoelectronic devices with multifunctional applications. Nevertheless, as a result of significant interface recombination of the photogenerated electron‐hole pairs and the presence of various absorption edges within constituent layers, they are prone to experiencing low carrier collection efficiency. In this work, a combined theoretical and experimental investigation are presented on the In2Se3/ReS2 vdWs heterostructure, aimed at developing high‐performance and broadband photodetector with multifunctionalities. In theoretical investigations, it is observed that, by adjusting the polarization states (+P to −P) in the In2Se3 layer, band alignment can be effectively tuned from type‐I to type‐II, providing a narrow bandgap of ≈0.65 eV, which is beyond that of their individual constituents. As a photodetector, the device shows broadband photoresponse ranging from 532 to 1550 nm with ultrahigh responsivity (99.36 AW−1), detectivity (3.5 × 1013 Jones), and external quantum efficiency (34195%). Additionally, competitive polarization sensitivity across the broad spectrum and imagining capability are observed with In2Se3/ReS2 vdWs heterostructure. This study demonstrates that In2Se3/ReS2 vdWs heterostructure device provides a promising technique for developing high‐performance 2D optoelectronic devices with multifunctionalities.
Should brand‐owners adopt blockchain to combat deceptive counterfeits when competing with copycats? Impact of consumers' anticipated regret
Authors: Guan Zhimin , Yu Tianyang , Dong Jingyang , Zhang Jun 
Published: August 2024

AbstractOriginal products (sold by a brand‐owner) are exposed to the dual challenge of imitation products (sold by a copycat) and deceptive counterfeit products (provided by a counterfeiter). In such cases, consumers face higher shopping risks and are more likely to experience post‐purchase regret. Blockchain can prevent the infiltration of deceptive counterfeits and the occurrence of regret, but its adoption can also raise consumer privacy concern. Hence, considering the above factors, we focus on the brand‐owner's blockchain adoption strategy. First, we define two types of regret: counterfeit‐purchasing regret (CPR) and low‐cost‐effective regret (LCR). Second, we consider three scenarios: scenario NR: without blockchain and considering only CPR, scenario NT: without blockchain and considering only LCR, and Scenario B: with blockchain. Finally, we compare the equilibrium results under scenarios NR and NT with those under scenario B, respectively. We interestingly find that blockchain adoption benefits the brand‐owner when (1) privacy concern is low or (2) privacy concern is moderate and the sensitivity factor of CPR is large or the sensitivity factor of LCR is small. Therefore, we advise brand‐owners to intervene in consumers' sensitivity to regret in order to make blockchain adoption work in their favor.
Political Promotion Over Social Media and Voters' Voting Intention With Trust as a Moderator
Authors: Dash Ajitabh 
Published: August 2024

ABSTRACTThis study examines the relationship between voters' attitudes towards social media promotion and their voting behaviour, along with the moderating effect of trust on this relationship. For this study, primary data was acquired from a sample of 441 respondents across Karnataka in India using a predesigned questionnaire. Convenience sampling was utilised to ensure that only interested and motivated respondents participated in the study and that the sample was representative of the target population. Significant findings of this study implied that political parties that aim to embrace social media advertising must inculcate trust among their target audience. Again, political parties that plan to use social media advertising must build a memorable and lasting impression on the minds of their target audience in every interaction by developing a reliable and authentic discourse. This study adds to the understanding of the moderating role of trust in voters' attitudes towards social media advertising and can be used to formulate an appropriate political promotion strategy.
Bi‐functionalized SiO2 nanoparticles induced cooperation of fluorine‐silicone heterogeneous rubbers with designable low‐temperature resistance
Authors: Ma Yucong , Fu Yu , Xing Lei , Wu Aimin , Wang Tianjiao , Xu Yi , Wan Fangjie , Dong Xufeng , Huang Hao 
Published: August 2024

AbstractFluorine‐silicone heterogeneous rubbers have been developed to address the issue of poor low‐temperature resistance in fluorine rubber. Bi‐functionalized SiO2 nanoparticles have been prepared as a nano‐compatibilizer to enhance the cooperation of fluorine‐silicon heterogeneous rubbers and improve their compatibility. Research has demonstrated that the nano‐compatibilizer can reduce the interfacial energy between the two phases and facilitate void‐free dispersion of the phases. Fluorine‐silicone heterogeneous rubbers with varying ratios have been synthesized to achieve a broad low‐temperature range, from −34 to −58°C. Additionally, the use of the nano‐compatibilizer enhances the thermal stability and mechanical properties of the rubbers. This study presents a novel approach utilizing bi‐functionalized SiO2 nanoparticles to promote the cooperation of fluorine‐silicone heterogeneous rubbers, resulting in customizable low‐temperature resistance for applications in sealing and hose materials.
Enhanced thermal conductivity of polypropylene/polyamide 6 composites via optimizing the selective distribution of h‐BN and NH2‐CNTs hybrid fillers within the co‐continuous structure
Authors: Jing Xinyi , Meng Linggong , Liu Tong , Ye Xinming , Yang Shuai , He Zhichao , Wang Wensheng , Li Jie , Li Yingchun 
Published: August 2024

AbstractAchieving high thermal conductivity in composites with low filler content is a major challenge in current research. In this paper, polypropylene (PP) and polyamide 6 (PA6) were used as polymer matrix, and the hybrid thermal conductive filler, formed by hexagonal boron nitride (h‐BN) and aminated carbon nanotubes (NH2‐CNTs), was integrated into matrix for the fabrication of thermal conductive composites (PP/PA6/h‐BN and PP/PA6/h‐BN@CNTs) via two‐step melt blending technology. The thermal conductive fillers were selectively distributed in a phase of the polymer matrix with a co‐continuous structure, forming a thermal conductive path with a three‐dimensional network structure. The results show that when the content of h‐BN reaches 25 wt%, the thermal conductivity of the PP/PA6/h‐BN and PP/PA6/h‐BN@CNTs composites was 199% and 300% higher than that of PP/PA6, respectively. Through testing the volume resistivity of the composites, it was confirmed that PP/PA6/h‐BN@CNTs composites maintain good electrical insulation. Both composites demonstrated remarkable thermal conductivity and outstanding electrical insulation. This research provides a facile way to prepare highly thermal conductivity polymer composites with excellent processing performances and electrical insulation.Highlights
h‐BN@CNTs hybrid fillers with sandwich structure were prepared.
A two‐step blending method was used to control the selective distribution of hybrid fillers in a phase of the polymer matrix with a co‐continuous structure.
The hybrid filler formed a thermal conductive path with a three‐dimensional network structure in the collective.
PP/PA6/h‐BN@CNTs composites demonstrated remarkable thermal conductivity, outstanding electrical insulation and favorable processing performances.