bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Role of Multimedia in Changing First Impression Bias
Authors: Lim Kai H. , Benbasat Izak , Ward Lawrence M. 
Published: April 2003

First impression bias refers to a limitation of human information processing in which people are strongly influenced by the first piece of information that they are exposed to, and that they are biased in evaluating subsequent information in the direction of the initial influence. The psychology literature has portrayed first impression bias as a virtually “inherent” human bias. Drawing from multimedia literature, this study identifies several characteristics of multimedia presentations that have the potential to alleviate first impression bias. Based on this literature, a set of predictions was generated and tested through a laboratory experiment using a simulated multimedia intranet. Half of the 80 subjects were provided with a biased cue. Subjects were randomly assigned to four groups: (1) text with first impression bias cue, (2) multimedia with first impression bias cue, (3) text without biased cue, and (4) multimedia without biased cue. The experimental task involved conducting a five-year performance appraisal of a department head. The first impression bias cue was designed to provide incomplete and unfavorable information about the department head, but the information provided subsequently was intended to be favorable of his performance. Results show that the appraisal score of the text with biased cue group was significantly lower than the text only (without biased cue) group. On the other hand, the appraisal score of the multimedia with biased cue group was not significantly different from the multimedia only (without biased cue) group. As a whole, the results suggest that multimedia presentations, but not text-based presentations, reduce the influence of first impression bias.
Market Entry Strategy Under Firm Heterogeneity and Asymmetric Payoffs
Authors: Narasimhan Chakravarthi , Zhang Z. John 
Published: April 2003

How should a firm decide whether or not to enter an untested market when a competing firm is vying for the same market? Should a firm always speed to the market in an effort to capitalize on pioneering advantages? We address those questions by developing a simple game-theoretical model that captures the most essential factors in a firm's market entry decision, such as market uncertainty, firm heterogeneity, competition, cannibalization, and order-of-entry effects. Our analysis shows that in a competitive context, both pioneering advantages and laggard's disadvantages can motivate a firm to speed to an untested market. Therefore, pioneering advantages alone are not an adequate guide for a firm to formulate its market entry strategy. The optimal decision may call for a firm to be a prudent laggard when pioneering advantages to the firm are substantial, or to become a market pioneer when facing pioneering disadvantages. We characterize different patterns of market entry as equilibrium outcomes for different configurations of the market reward structure and offer a conceptual framework for formulating market entry strategies that go beyond the conventional dichotomy: speed or wait. We show that the paradoxical phenomenon of “disadvantaged pioneers” can arise in a competitive context as the outcome of rational firms making rational choices. To show that pioneering advantages alone are not the right litmus test for market entry decisions, we apply our general framework to a concrete case where consumer preference or the premium that consumers are willing to pay for the pioneering brand gives rise to pioneering advantages and laggard's disadvantages. We conclude that the firm with a larger pioneering premium may choose to wait, while a firm with a smaller pioneering premium speeds to the market. Our analysis also sheds light on empirical research on pioneering advantages. Because firms may race into a market solely to avoid laggard's disadvantages rather than to capture pioneering advantages, pioneers are not necessarily the firms best positioned to establish, exploit, and maintain pioneering advantages. Therefore, it is not surprising that a significant percentage of pioneers fail, as documented by recent empirical research. Our normative investigation further suggests that this predicament in empirical research will not disappear even if we have complete data, use the right measurements, and employ perfect statistical techniques. Therefore, it is perhaps more fruitful to redirect our research effort in the search for pioneering advantages. Finally, we extend our analysis to incorporate the effect of cannibalization on an incumbent firm's market entry strategy. We conclude that cannibalization can motivate an incumbent firm to wait, as the conventional wisdom suggests, but it can also be an impetus for a firm to become a market pioneer. We offer supporting evidence for our analysis and discuss managerial implications of our conclusions.
Expanding CWD disease surveillance options using environmental contamination at deer signposts
Authors: Huang Miranda H. J. , Demarais Steve , Banda Alejandro , Strickland Bronson K. , Welch Anna Grace , Hearst Scoty , Lichtenberg Stuart , Houston Allan , Pepin Kim M. , VerCauteren Kurt C. 
Published: January 2024

Abstract

Environmental surveillance can allow early detection of diseases, which increases management options and can improve disease trajectories. Chronic wasting disease (CWD) in cervids is a significant prion disease that has been spreading across North America since the 1960s, leading to cervid population declines and concern from hunters and state wildlife agencies. White‐tailed deer have a unique breeding season behaviour called scraping, where they deposit urine and saliva at shared sites. Since both these fluids can contain CWD prions, scrape sites have the potential to serve as sentinel sites for environmental surveillance of CWD.

To examine this potential, we used camera traps to monitor deer behaviour and collected environmental samples from 105 scrape sites. The 48 km2 study site was located at the centre of the CWD zone in southwestern Tennessee, where CWD prevalence is ~50%. We also sampled scrapes in northern Mississippi at the leading edge of the same CWD distribution to test the potential for early CWD detection using scrape sampling.

From camera data, we identified 218 unique bucks visiting 105 scrapes, with a mean of 12.2 ± 7.5 bucks per scrape (mean ± SD, range 1–39) and individual bucks visiting a mean of 5.9 ± 4.6 monitored scrapes each (range 1–23).

Using real‐time quaking‐induced conversion (RT‐QuIC), we detected prion seeding activity in 20% of the soil and 41% of the licking branches of the scrape sites within the CWD study area, and in 25% of the soil and 11% of the licking branches of scrape sites sampled at the edge of the known CWD distribution.

Our data show there is environmental prion contamination at scrape sites. This supports the idea that scrapes could serve as early warning sentinel sites for CWD surveillance through testing soil and licking branches for prion seeding activity, especially in areas with limited access to harvested deer samples.
CT image denoising methods for image quality improvement and radiation dose reduction
Authors: Sadia Rabeya Tus , Chen Jin , Zhang Jie 
Published: January 2024

AbstractWith the ever‐increasing use of computed tomography (CT), concerns about its radiation dose have become a significant public issue. To address the need for radiation dose reduction, CT denoising methods have been widely investigated and applied in low‐dose CT images. Numerous noise reduction algorithms have emerged, such as iterative reconstruction and most recently, deep learning (DL)‐based approaches. Given the rapid advancements in Artificial Intelligence techniques, we recognize the need for a comprehensive review that emphasizes the most recently developed methods. Hence, we have performed a thorough analysis of existing literature to provide such a review. Beyond directly comparing the performance, we focus on pivotal aspects, including model training, validation, testing, generalizability, vulnerability, and evaluation methods. This review is expected to raise awareness of the various facets involved in CT image denoising and the specific challenges in developing DL‐based models.
Validating the Korean version of the Thinking About Life Experiences Scale
Authors: Park Sangmi , Park Ji‐Hyuk , Hong Ickpyo , Kim Tae Hui , Alea Nicole , Bluck Susan 
Published: January 2024

AbstractThe Thinking about Life Experiences (TALE) Scale is well‐used in the autobiographical memory literature. Through rigorous examination of its psychometric properties, this study aimed to validate a Korean version of the Thinking About Life Experiences Scale (TALE‐K) with Korean adults. Data were collected through an online survey. The TALE‐K, and for convergent validity purposes the Korean‐Reminiscence Functions Scale for the Elderly (K‐RFS‐E), were administered to participants aged 19 years to 77. Data from 440 community participants were analyzed. Structural validity and convergent validity were confirmed. Measurement invariance was confirmed across gender but it was partially confirmed across age group. Overall, Cronbach's αs for the three subscales and intra‐class correlation coefficients were good to excellent. The TALE‐K seems to be a reliable, valid self‐report instrument for measuring three autobiographical memory functions (i.e., self‐continuity, social‐bonding, and directing‐behavior functions) in Korean adults. Further studies to better understand autobiographical memory functions in different age groups are recommended.
Role of Meniscus Shape on Crystallization of Molecular Semiconductors and Fluid Dynamics During Meniscus‐Guided Coating
Authors: Yildiz Okan , Wang Zuyuan , Brzezinski Mateusz , Wang Shuanglong , Li Zhenpeng , Michels Jasper J. , Blom Paul W. M. , Pisula Wojciech , Marszalek Tomasz 
Published: January 2024

AbstractMeniscus‐guided coating (MGC) is a promising method that offers predictable fabrication of highly crystalline thin films. For the integration of molecular semiconductors into large‐area electronic devices with high efficiency and reliability, homogeneous and highly ordered film morphologies are required. The solution processing of such defect‐free film structures requires comprehensive understanding of the complex relationship between molecular crystallization, fluid dynamics, and meniscus shape. In this work, the role of the meniscus shape on fluid dynamics in the coating bead and the crystallization process of the low molecular weight semiconductor 6,13‐bis(triisopropylsilylethynyl)pentacene (TIPS‐pentacene) during zone‐casting is systematically investigated. Depending on meniscus shape and coating velocity, four morphological subregimes are found: stick‐slip morphology, unidirectional homogenous crystal stripes, spherulitic morphology, and directional branched morphology; of which the second exhibits the highest crystallinity with a reduced trap density in the thin film, resulting in improved saturation and effective mobilities in field‐effect transistors (FET). Numerical simulation of fluid dynamics explains the observed morphological trends, which are correlated with the electrical behavior of the devices. This work provides a fundamental basis for upscaling MGC methods for the application of functional thin films.
Core–Shell Structured Flame‐Retardant Separator Mediated with Metal–Organic Framework Armor Enables Self‐Acceleration Mechanism for Dendrite‐Free and Safer Lithium Metal Batteries
Authors: Li Dixiong , Ouyang Yuan , Xiao Yingbo , Xie Yufeng , Zeng Qinghan , Yu Siting , Zheng Cheng , Zhang Qi , Huang Shaoming 
Published: January 2024

AbstractDeveloping an optimal multifunctional flame‐retardant separator is crucial for enhancing lithium metal battery (LMB) safety. However, this task poses challenges due to the inferior electrochemical stability and limited ion transport of most fire retardant‐based coatings. In this work, the core–shell structured flame‐retardant matrix is elaborated by in situ growing a thin layer of MOF armor onto flame‐retardant ammonium polyphosphate (APP) bulk materials to further manufacture a multifunctional separator (APP@ZIF‐8@PP). The MOF armor acts as both a protector and ion transport regulator, effectively safeguarding APP from side reactions and optimizing the efficiency, selectivity, and deposition behavior of ion flux. Notably, such separator demonstrates a self‐acceleration mechanism, i.e., APP and ZIF‐8 can promote the decomposition of each other mutually, activating the flame‐retardant effect at lower temperatures. Additionally, APP@ZIF‐8 aids in forming a dense char layer during pyrolysis, which can insulate against the transfer of oxygen and heat. Finally, the LMBs assembled with such a multifunctional separator exhibit heightened safety and optimized electrochemical performance. This work provides valuable insights into the development of advanced porous materials‐based flame‐retardant separators, contributing to safer and more reliable energy storage devices.
Extracellular Vesicle Clicking on Osteoimplants Through Biomimetic Molecular Adhesion Enables Immune‐Enhanced Osseointegration in Diabetics
Authors: Ge Gaoran , Wang Wei , Wang Qing , Wang Miao , Wang Tao , Yu Lei , Zhang Xianzuo , Zhu Chen , Xu Yaozeng , Yang Huilin , Bai Jiaxiang , Pan Guoqing , Geng Dechun 
Published: January 2024

AbstractExtracellular vesicles (EVs) derived from differentiating induced stem cells maintain their original stemness and differentiating trends and possess strong immunoregulatory capability. Biomaterials equipped with EVs are very promising in regenerative medicine. However, surface EV‐decoration on osteoimplants remains a challenge, due to the complexity of traditional molecular conjugations and the fragility of EVs. Here, mussel‐like molecular adhesion is combined with bioorthogonal click conjugation to introduce EVs on titanium (Ti) implants. The biomimetic adhesion and clickable molecular linkage allow mild and stable tethering of pre‐osteogenic mesenchymal stem cell (MSC)‐derived EVs on Ti implants. EV‐decorated implants exhibit significantly enhanced osseointegration on the bone‐implant surface under diabetic conditions, promoting increased expression of osteogenic genes. Modified surfaces impelled phenotypic alterations in macrophage polarization via multi‐pathway regulation, decreasing proinflammatory M1 macrophage formation, which can lead to the promotion of surface osteogenesis. On Ti rods implanted in a diabetic rat model, EV coating inhibited M1macrophages around the prosthesis, resulting in satisfactory long‐term osseointegration. This study offers a new perspective to represent a simple and effective means for surface EV decoration, providing an osteoimmunomodulatory effect to enhance the diabetic osseointegration of implants.
Expanding the Horizons of Machine Learning in Nanomaterials to Chiral Nanostructures
Authors: Kuznetsova Vera , Coogan Áine , Botov Dmitry , Gromova Yulia , Ushakova Elena V. , Gun'ko Yurii K. 
Published: January 2024

AbstractMachine learning holds significant research potential in the field of nanotechnology, enabling nanomaterial structure and property predictions, facilitating materials design and discovery, and reducing the need for time‐consuming and labor‐intensive experiments and simulations. In contrast to their achiral counterparts, the application of machine learning for chiral nanomaterials is still in its infancy, with a limited number of publications to date. This is despite the great potential of machine learning to advance the development of new sustainable chiral materials with high values of optical activity, circularly polarized luminescence, and enantioselectivity, as well as for the analysis of structural chirality by electron microscopy. In this review, an analysis of machine learning methods used for studying achiral nanomaterials is provided, subsequently offering guidance on adapting and extending this work to chiral nanomaterials. An overview of chiral nanomaterials within the framework of synthesis–structure–property–application relationships is presented and insights on how to leverage machine learning for the study of these highly complex relationships are provided. Some key recent publications are reviewed and discussed on the application of machine learning for chiral nanomaterials. Finally, the review captures the key achievements, ongoing challenges, and the prospective outlook for this very important research field.
Electrocatalytic Activation in ReSe2‐VSe2 Alloy Nanosheets to Boost Water‐Splitting Hydrogen Evolution Reaction
Authors: Kwak In Hye , Kim Ju Yeon , Zewdie Getasew Mulualem , Yang JuHyun , Lee Kug‐Seung , Yoo Seung Jo , Kwon Ik Seon , Park Jeunghee , Kang Hong Seok 
Published: January 2024

AbstractIt is challenging to control the electronic structure of 2D transition metal dichalcogenides (TMD) for extended applications in renewable energy devices. Here, ReSe2‐VSe2 (Re1−xVxSe2) alloy nanosheets over the whole composition range via a colloidal reaction is synthesized. Increasing x makes the nanosheets more metallic and induces a 1T″‐to‐1T phase transition at x = 0.5–0.6. Compared to the MoSe2‐VSe2 and WSe2‐VSe2 alloy nanosheets, ReSe2 and VSe2 are mixed more homogeneously at the atomic scale. The alloy nanosheets at x = 0.1–0.7 exhibit an enhanced electrocatalytic activity toward acidic hydrogen evolution reaction (HER). In situ X‐ray absorption fine structure measurements reveal that alloying caused the Re and V atoms to be synergically more active in the HER. Gibbs free energy (ΔGH*) and density of state calculations confirm that alloying and Se vacancies effectively activate the metal sites toward HER. The composition dependence of HER performance is explained by homogenous atomic mixing with the increased Se vacancies. The study provides a strategy for designing new TMD alloy nanosheets with enhanced catalytic activity.
Homomultivalent Polymeric Nanotraps Disturb Lipid Metabolism Homeostasis and Tune Pyroptosis in Cancer
Authors: Zhou Jie , Ji Jiecheng , Li Xue , Zhang Yuxin , Gu Lei , Zheng Xiuli , Li Yunkun , He Jinhan , Yang Cheng , Xiao Kai , Gong Qiyong , Gu Zhongwei , Luo Kui 
Published: January 2024

AbstractGenetic manipulations and pharmaceutical interventions to disturb lipid metabolism homeostasis have emerged as an attractive approach for the management of cancer. However, the research on the utilization of bioactive materials to modulate lipid metabolism homeostasis remains constrained. In this study, heptakis (2,3,6‐tri‐O‐methyl)‐β‐cyclodextrin (TMCD) is utilized to fabricate homomultivalent polymeric nanotraps, and surprisingly, its unprecedented ability to perturb lipid metabolism homeostasis and induce pyroptosis in tumor cells is found. Through modulation of the density of TMCD arrayed on the polymers, one top‐performing nanotrap, PTMCD4, exhibits the most powerful cholesterol‐trapping and depletion capacity, thus achieving prominent cytotoxicity toward different types of tumor cells and encouraging antitumor effects in vivo. The interactions between PTMCD4 and biomembranes of tumor cells effectively enable the reduction of cellular phosphatidylcholine and cholesterol levels, thus provoking damage to the biomembrane integrity and perturbation of lipid metabolism homeostasis. Additionally, the interplays between PTMCD4 and lysosomes also induce lysosomal stress, activate the nucleotide‐binding oligomerization domain‐like receptor protein 3 inflammasomes, and subsequently trigger tumor cell pyroptosis. To sum up, this study first introduces dendronized bioactive polymers to manipulate lipid metabolism and has shed light on another innovative insight for cancer therapy.
Hierarchically Structured 3D Nanoporous Vanadium Oxide Transparent Electrodes for Next‐Generation Supercapacitors
Authors: Ingole Rahul S. , Kadam Snehal L. , Tiwari Nidhi G. , Nakate Umesh T. , Mangiri Ramandha , Kulkarni Shrinivas B. , Lokhande Balkrishna J. , Ok Jong G. 
Published: January 2024

AbstractThis article describes the automatic spray pyrolysis deposition (ASPD) process for the synthesis of hierarchically structured 3D nanoporous vanadium oxide (V2O5) transparent material on a fluorine‐doped tin oxide (FTO) substrate. The deposition of material occurs at 673 K using an aqueous solution of NH4VO3, with a constant solution spray rate of 10 mL min−1 and airflow rate of 10 L min−1. Structural analysis confirms the pure orthorhombic structure formation of the V2O5 material, while FE‐SEM images show a well‐organized 3D spongy‐like porous architecture. The excellent conformality of the ASPD enables the deposition of high‐aspect‐ratio 3D structured nanoporous V2O5 electrodes for next‐generation supercapacitor applications. The hierarchical structured 3D nanoporous V2O5 electrode exhibits superior electrochemical performance in a 1M Na2SO3 electrolyte. Within the potential window 0 to ‐1.3 V, the electrode archives the highest specific capacitance (SC) of 453.32 F g−1 and also retains 86% of its capacitance after 5000 cycles. These properties mainly originate from the crystallinity, 3D nanoporous structure, and fast and easy ionic intercalation through the material. Furthermore, a symmetric supercapacitor device using this electrode is fabricated and which yields outstanding electrochemical performance. Overall, the results highlight the potential of 3D nanoporous V2O5 as an outstanding electrode material for next‐generation supercapacitor applications.
A Self‐Accelerating Naphthalimide‐Based Probe Coupled with Upconversion Nanoparticles for Ultra‐Accurate Tri‐Mode Visualization of Hydrogen Peroxide
Authors: Feng Yanan , Lei Da , Zu Baiyi , Li Jiguang , Li Yajuan , Dou Xincun 
Published: January 2024

AbstractThe design and development of ultra‐accurate probe is of great significance to chemical sensing in complex practical scenarios. Here, a self‐accelerating naphthalimide‐based probe with fast response and high sensitivity toward hydrogen peroxide (H2O2) is designed. By coupling with the specially selected upconversion nanoparticles (UCNPs), an ultra‐accurate colorimetric‐fluorescent‐upconversion luminescence (UCL) tri‐mode platform is constructed. Owing to the promoted reaction process, this platform demonstrates rapid response (< 1 s), an ultra‐low detection limit (4.34 nM), and superb anti‐interferent ability even in presence of > 21 types of oxidants, explosives, metallic salts, daily compounds, colorful or fluorescent substances. In addition, the effectiveness of this design is further verified by a sponge‐based sensing chip loaded with the UCNPs/probe in recognizing trace H2O2 vapor from interferents with the three characteristic colors existing simultaneously. The proposed design of probe and tri‐mode visualization detection platform is expected to open up a brand‐new methodology for ultra‐accurate sensing.