bluuebunny/crossref_metadata_2025_split huggingface dataset:
Under‐strain Synergistic Oscillatory Twisting Manipulates the Bifunction in Rubrene Crystal
Authors: Xue Lijuan , Song Xinyu , Fan Wenjing , Gao Jifan , Bu Yuxiang 
Published: January 2025

AbstractPhotophysical properties of condensed systems generally originate from collective contributions of all components in their stochastically fluctuated structures and are strongly influenced under strain of chromophores. To precisely identify how the stochastically fluctuated monomers synergistically manipulate the properties, we propose a statistic strategy over sufficient ab initio molecular dynamics (AIMD) samplings and for the first time uncover that synergistic oscillatory twisting (SOT) of neighboring under‐strain monomers manipulates the bifunction of rubrene crystal. The under‐strain trunk SOT can regulate both singlet fission (SF) and triplet‐triplet annihilation (TTA), enabling their coexistence and dominance switching by dynamically modulating the matching of excitation energies. A general rule is that small amplitude of SOT maintains the crystal TTA, while the large one boosts SF and the SF function occurs only when two neighboring monomers simultaneously have the twisting angles larger than the critical one. Temperature can govern the twisting amplitudes, thus manipulating the bifunction. These findings rationalize the experimentally observed temperature‐modulated bifunction of rubrene crystal from statistical insights and proposes a combined strain‐fluctuation strategy for engineering the bifunctionality of materials.
Piezochromic Luminescence of Pyrene Derivatives Polymorphism Around Excimer Forming Process
Authors: Gu Jingjing , Yang Daojie , Jia Wenpeng , Li Qian , Liu Wengang , He Ben‐guo , Liu Yongli , Wang Kai , Wang Yixuan , Liu Haichao , Dai Yuxiang 
Published: January 2025

AbstractPyrene aggregates, as classic luminescent materials, are of great interest from a scientific viewpoint owing to the development of optoelectronic materials. In this study, we designed a compound 1,4,5‐triphenyl‐2‐(pyren‐1‐yl)‐4,5‐dihydro‐1H‐imidazole (IM‐PY) which was achieved with two crystalline polymorphs (IMPY‐G and IMPY‐B). They exhibit the green emission and the blue emission, respectively, both with pyrene serving as the luminescent core. At ambient conditions, both phases exhibit π–π pyrene dimer stacking, but IMPY‐B has the obviously smaller overlapping area and slightly shorter distance of pyrene planes than IMPY‐G. During compression, the experiment results of photoluminescence, in situ UV‐vis absorption, time‐resolved emission, and synchrotron angular dispersive X‐ray diffraction, combined with theoretical calculations indicate that IMPY‐B shows a more pronounced red‐shifted photoluminescence spectra and forms excimers at higher pressure than IMPY‐G. This fully reflects the influence of different stacking structures on the piezochromic phenomenon of aggregates, which is beneficial for expanding the application of pyrene aggregated state.
Unpacking the nexus between innovation ecosystem‐oriented coopetition capability, organizational learning, and service innovations: A mediation‐moderation model
Authors: Tsou Hung‐Tai , Liu Feng‐Hsu 
Published: January 2025

AbstractMore knowledge about the relationships among innovation ecosystem‐oriented coopetition capability (IEOCC), organizational learning, and service innovations is necessary. Using contingency theory as its theoretical basis, this study examines the impact of IEOCC on organizational learning and its subsequent effects on RSI and ISI. A survey of 177 information technology (IT) manufacturers in Taiwan, with senior managers as respondents for data collection, strongly supports the model. This study adopts structural equation modeling (SEM) to analyze the data via SmartPLS. Our results indicate that organizational learning mediates the IEOCC and service innovations relationships and that IEOCC moderates the organizational learning and service innovations relationships. We provide a rich context for studying business innovation ecosystems, service innovations, organizational learning, and coopetition capabilities.
Uncertainty Quantification and Sensitivity Analysis for Non‐invasive Model‐Based Instantaneous Wave‐Free Ratio Prediction
Authors: Dalmaso Caterina , Fossan Fredrik Eikeland , Bråten Anders Tjellaug , Müller Lucas Omar 
Published: January 2025

ABSTRACTThe main objectives of this work are to validate a 1D‐0D unsteady solver with a distributed stenosis model for the patient‐specific estimation of resting haemodynamic indices and to assess the sensitivity of instantaneous wave‐free ratio (iFR) predictions to uncertainties in input parameters. We considered 52 patients with stable coronary artery disease, for which 81 invasive iFR measurements were available. We validated the performance of our solver compared to 3D steady‐state and transient results and invasive measurements. Next, we used a polynomial chaos approach to characterise the uncertainty in iFR predictions based on the inputs associated with boundary conditions (coronary flow, compliance and aortic/left ventricular pressures) and vascular geometry (radius). Agreement between iFR and the ratio between cardiac cycle averaged distal and aortic pressure waveforms (resting ) obtained through 1D‐0D and 3D models was satisfactory, with a bias of 0.0–0.005 (±0.016–0.026). The sensitivity analysis showed that iFR estimation is mostly affected by uncertainties in vascular geometry and coronary flow (steady‐state parameters). In particular, our 1D‐0D method overestimates invasive iFR measurements, with a bias of −0.036 (±0.101), indicating that better flow estimates could significantly improve our modelling pipeline. Conversely, we showed that standard pressure waveforms could be used for simulations, since the impact of uncertainties related to inlet‐pressure waveforms on iFR prediction is negligible. Furthermore, while compliance is the most relevant transient parameter, its effect on iFR estimates is negligible compared to that of vascular geometry and flow. Finally, we observed a strong correlation between iFR and resting , suggesting that steady‐state simulations could replace unsteady simulations for iFR prediction.
Board Capital and CEO Power Configurations to Promote ESG Performance: The Case of the European Banking Industry
Authors: Remo‐Diez Nieves , Mendaña‐Cuervo Cristina , Arenas‐Parra Mar 
Published: January 2025

ABSTRACTBoard capital and CEOs are powerful actors in improving companies' ability to implement effective sustainability strategies, balance stakeholder interests, and align corporate governance with sustainable objectives. This ultimately leads to higher environmental, social, and governance (ESG) scores. This study explores the combined effect of board capital (specific skills, tenure, gender diversity, and affiliations) and CEO power (formal and informal) in achieving high ESG performance by linking resource dependence theory to complexity theory. Using a qualitative fuzzy‐set comparative analysis and data on European banks from 2018 to 2020, we find that regardless of the CEO's formal power, banks need an informally powerful CEO or board members with important advisory capabilities for managers in their decision‐making activities. In contrast, a powerful CEO, both formal and informal, reduces the effect of board capital in terms of ESG disclosures. The argument that “one size” does not fit all is confirmed. It offers valuable insights into strategic decision‐makers and banking supervisory authorities when setting and monitoring guidelines for board composition.
Integrating multi‐omics features enables non‐invasive early diagnosis and treatment response prediction of diffuse large B‐cell lymphoma
Authors: Zhang Weilong , Ye Bangquan , Song Yang , Yang Ping , Si Wenzhe , Jing Hairong , Yang Fan , Yuan Dan , Wu Zhihong , Lyu Jiahao , Peng Kang , Zhang Xu , Wang Lingli , Li Yan , Liu Yan , Wu Chaoling , Hao Xiaoyu , Zhang Yuqi , Qi Wenxin , Wang Jing , Dong Fei , Zhao Zijian , Jing Hongmei , Li Yanzhao 
Published: January 2025

AbstractBackgroundMulti‐omics features of cell‐free DNA (cfDNA) can effectively improve the performance of non‐invasive early diagnosis and prognosis of cancer. However, multimodal characterization of cfDNA remains technically challenging.MethodsWe developed a comprehensive multi‐omics solution (COMOS) to specifically obtain an extensive fragmentomics landscape, presented by breakpoint characteristics of nucleosomes, CpG islands, DNase clusters and enhancers, besides typical methylation, copy number alteration of cfDNA. The COMOS was tested on 214 plasma samples of diffuse large B‐cell lymphoma (DLBCL) and matched healthy controls.ResultsFor early diagnosis, COMOS improved the area under the curve (AUC) value to .993 compared with the individual omics model, with a sensitivity of 95% at 98% specificity. Detection sensitivity achieved 91% at 99% specificity in early‐stage patients, while the AUC values of the individual omics model were 0.942, 0.968, 0.989, 0.935, 0.921, 0.781 and 0.917, respectively, with lower sensitivity and specificity. In the treatment response cohort, COMOS yielded a superior sensitivity of 88% at 86% specificity (AUC, 0.903). COMOS has achieved excellent performance in early diagnosis and treatment response prediction.ConclusionsOur study provides an effectively improved approach with high accuracy for the diagnosis and prognosis of DLBCL, showing great potential for future clinical application.Key points
A comprehensive multi‐omics solution to specifically obtain an extensive fragmentomics landscape, presented by breakpoint characteristics of nucleosomes, CpG islands, DNase clusters and enhancers, besides typical methylation, copy number alteration of cfDNA.
Integrated model of cfDNA multi‐omics could be used for non‐invasive early diagnosis of DLBCL.
Integrated model of cfDNA multi‐omics could effectively evaluate the efficacy of R‐CHOP before DLBCL treatment.
Performance Enhancement of Unconventional Slotted Waveguide Antenna Arrays at Ku Band
Authors: Keerthi Nayani A. S. , Manmadha Rao G. 
Published: January 2025

ABSTRACTSlotted waveguide antenna (SWA) arrays are highly valued for their compact structure, high power handling capability, directivity, and efficiency, making them ideal for advanced radar and communication systems. In broad‐wall SWAs, side lobe levels (SLLs) are influenced by slot displacement from the waveguide centerline and slot inclination angles, impacting array performance. This paper introduces a novel design approach for meandered SWA arrays optimized as frequency scanning antennas (FSAs), achieving enhanced gain, scanning coverage, and SLL suppression. The design incorporates an innovative meandering feeding mechanism, significantly improving frequency scanning performance over the Ku band (15.1–16.5 GHz). The array includes 16 radiating slot elements paired with an E‐plane horn antenna in elevation plane, narrowing beam width, and optimizing radiation control. Using the discrete Taylor distribution to meet SLL requirements, this approach effectively balances low SLL with high gain. Simulations conducted in CST Microwave Studio confirm the array's performance, showing 70° scanning coverage, over 21 dBi gain, and an SLL reduced to −21 dB. Both simulated and measured results designate that the proposed meandered SWA array architecture is appropriate for next‐generation frequency scanning systems, offering a compact, power‐efficient, and high‐precision solution for demanding applications.
Coloration in a Praying Mantis: Color Change, Sexual Color Dimorphism, and Possible Camouflage Strategies
Authors: Rosenheim Leah Y. , Rosenheim Jay A. , Maxwell Michael R. 
Published: January 2025

ABSTRACTBackground matching, an important form of camouflage, can be challenging for animals that range across heterogeneously colored habitats. To remain cryptic in such habitats, animals may employ color change, background choice, or generalist coloration, and the efficacy of these strategies may be influenced by an animal's mobility. We examined camouflage strategies in the praying mantis Stagmomantis limbata. We reared mantids in green or brown containers to test whether mantids change color over development to match their background. Additionally, we tested whether adult mantids (i) employ behavioral background choice, (ii) exhibit sexual color dimorphism, and (iii) differ in mobility in the field. Mantids changed color during development in response to their background, but the effect was small and variable. Adult mantids did not show background choice. In the field, adult males moved greater distances than females. Adults exhibited sexual color dimorphism: Males were heterogeneous in coloration (green body with brown pronotum), while females were more homogeneous in color, ranging continuously from green to brown. We suggest a hypothesis that differences in mobility between the sexes have led to the sexual color dimorphism observed and that this dimorphism reflects different camouflage strategies, with highly mobile males showing a generalist coloration and more sedentary females showing a specialist coloration.
De Novo Genome Assembly for an Endangered Lemur Using Portable Nanopore Sequencing in Rural Madagascar
Authors: Hauff Lindsey , Rasoanaivo Noa Elosmie , Razafindrakoto Andriamahery , Ravelonjanahary Hajanirina , Wright Patricia C. , Rakotoarivony Rindra , Bergey Christina M. 
Published: January 2025

ABSTRACTAs one of the most threatened mammalian taxa, lemurs of Madagascar are facing unprecedented anthropogenic pressures. To address conservation imperatives such as this, researchers have increasingly relied on conservation genomics to identify populations of particular concern. However, many of these genomic approaches necessitate high‐quality genomes. While the advent of next‐generation sequencing technologies and the resulting reduction in associated costs have led to the proliferation of genomic data and high‐quality reference genomes, global discrepancies in genomic sequencing capabilities often result in biological samples from biodiverse host countries being exported to facilities in the Global North, creating inequalities in access and training within genomic research. Here, we present the first published reference genome for the endangered red‐fronted brown lemur (Eulemur rufifrons) from sequencing efforts conducted entirely within the host country using portable Oxford Nanopore sequencing. Using an archived E. rufifrons specimen, we conducted long‐read, nanopore sequencing at the Centre ValBio Research Station near Ranomafana National Park, in rural Madagascar, generating over 750 Gb of sequencing data from 10 MinION flow cells. Exclusively using this long‐read data, we assembled 2.157 gigabase, 2980‐contig nuclear assembly with an N50 of 101.6 Mb and a 17,108 bp mitogenome. The nuclear assembly had 30× average coverage and was comparable in completeness to other primate reference genomes, with a 96.1% BUSCO completeness score for primate‐specific genes. As the first published reference genome for E. rufifrons and the only annotated genome available for the speciose Eulemur genus, this resource will prove vital for conservation genomic studies while our efforts exhibit the potential of this protocol to address research inequalities and build genomic capacity.
Long‐Term Demographic Trends of Near Threatened Coastal Dolphins Living in an Urban Estuary
Authors: Haigh Kennadie , Parra Guido J. , Möller Luciana , Steiner Aude , Bossley Mike 
Published: January 2025

ABSTRACTUnderstanding population demography of threatened species and how they vary in relation to natural and anthropogenic stressors is essential for effective conservation. We used a long‐term photographic capture‐recapture dataset (1993–2020) of Indo‐Pacific bottlenose dolphins (Tursiops aduncus) in the highly urbanised Adelaide Dolphin Sanctuary (ADS), South Australia, to estimate key demographic parameters and their variability over time. These parameters were analysed in relation to environmental variables used as indicators of local and large‐scale climatic events. Our findings indicate that apparent survival was high (0.98–0.99) and did not vary seasonally. Estimates of abundance were not directly related to environmental variables but were linked to seasonal temporary emigration. Abundance peaked in summer with an average of 85.37 dolphins (SD = 30.23) and was lowest in winter, with 68.57 (SD = 24.70) individuals. Site fidelity at the population level was low, but lagged identification rates revealed a population of approximately 28 individuals at any one time. Trend analysis suggests an increase in dolphin abundance from 1993 and persistence of the population over decades despite significant urbanisation, although numbers have declined in more recent years. Further research is needed to understand the cumulative impacts leading to this population decline and to assess its future viability under different management scenarios. Conservation strategies aimed at increasing reproductive rates and promoting connectivity to adjacent waters are likely to be more effective in reversing population declines.
A Simple Diagnostic Method for Citrus Greening Disease With Deep Learning
Authors: Dong Ruihao , Shiraiwa Aya , Hayashi Takefumi 
Published: January 2025

ABSTRACTCitrus greening disease (CG) is the most destructive disease of citrus, leading to branch dieback and plant death. Currently, there is no cure for CG, the early detection and removal of infected trees is important to prevent the spread of the disease. In recent years, there have been growing expectations for CG detection with digital images, especially deep learning techniques applied to digitized herbarium specimen image data. However, this approach faces challenges in practical applicability and detection efficiency. In this paper, we proposed a simple diagnostic method for CG using transfer learning with the Faster RCNN architecture. We collected in‐field images from a citrus orchard in Thailand where CG has caused significant damage. We compared the performance of two annotation methods with the in‐field leaf dataset and discussed their effects on pre‐trained VGG and Resnet models. Five‐fold cross‐validation was utilized for model training and evaluation, with average precision (AP) used as the performance metric. The results showed that the Resnet models performed better than the VGG models, with the Resnet152 model scoring the highest in this task. The annotation method which included annotations of healthy and other disease leaves achieved an AP of 84.13% lower than another one but indicated better performance in practical applications with more robustness. Additionally, we developed a web application that performs real‐time diagnosis using our trained models and verified the effectiveness of our system.
Calculated Waveform and Peculiarity of Radiated Electric Field due to Collision ESD Between Metallic Spheres With Charging Voltages Below 1000 V Using Spark Resistance Law
Authors: Fujiwara Osamu , Kawamata Ken 
Published: January 2025

ABSTRACTCollision ESD between charged metallic objects below 1000 V causes electromagnetic interference in electronic equipment and devices. This interference is being observed to intensify at lower charging voltages. The phenomenon was first identified by Masmitsu Honda, but its underlying mechanism remains unclear even today. Originally, the charging voltage and spark length of collision ESD are unknown due to measurement difficulties, making it extremely challenging to establish the relationship between the radiated electric field strength and the spark property in such cases. In this study, to clarify the above mentioned electromagnetic phenomenon in collision ESD, a method of calculating the radiated electric field along with a spark length estimated from the measurement strength of radiated field peak is presented using the spark resistance law developed by Rompe and Weizel. The validity is confirmed by our previous measurement data on radiated electric field due to the collision ESD between charged spherical electrodes with a diameter of 30 mm at charging voltages from 300 to 600 V, employing an optical field probe with a wideband up to 10 GHz. The estimated spark length is verified by comparing it with the spark lengths based on an empirical Paschen's formula between fixed electrodes and the discharge data from past literature on metal electrodes, revealing the peculiarity effect of the radiated electric field strength caused by “constant breakdown potential gradient” that occurs at charging voltages below 1000 V.
Assessment In Depth on the Anti‐seasonal Water Fluctuations and Vegetation Dynamic Trends in a Plateau Lake, Southern China
Authors: Jiang Mengmeng , Zhao Qing , Feng Yuan , Li Tingting , Shao Ying , Fang Bo , Zhang Ying , Ammar Esraa E. , Chen Zhongli , Li Ningyun , Schäffer Andreas 
Published: January 2025

ABSTRACTHuman activities, such as dam construction for flow regulation, modify the natural hydrological regimes of lakes and rivers. The altered flow regimes substantially influence plant growth in the water level fluctuation zone, impacting both vegetation patterns and success. The relationships among above‐ground vegetation, soil seed bank and soil microorganisms remain unexamined. This study was performed in Lashi Lake, a plateau lake in southern China characterized by anti‐seasonal water level fluctuations, and Jizi Reservoir, a reference site exhibiting natural seasonal water level variations. The primary aim was to assess the distribution pattern of plant, soil seed bank and their corresponding soil microorganism over the three flood gradients, and the relationships among them were analysed simultaneously. The findings indicated that both plant community variety and seed bank diminished as the area of soil flooding increased. The soil seed bank was a strong indication of community diversity, particularly throughout late spring and late summer. Additionally, significant correlations between the alpha diversity of soil microorganisms and the concentrations of soil carbon, nitrogen and moisture were found across the flooding gradients. The organization and diversity of soil microbial communities were significantly correlated with the alpha diversity of the plant community and the soil seed bank. The findings demonstrate that both seed banks and soil bacteria play a dynamic role in the restoration of vegetation in areas experiencing anti‐seasonal water fluctuations.
Smart Homes of the Future
Authors: Ezugwu Absalom E. , Taiwo Olutosin , Egwuche Ojonukpe S. , Abualigah Laith , Van Der Merwe Annette , Pal Jayanta , Saha Apu K. , Alzahrani Ahmed Ibrahim , Alblehai Fahad , Greeff Japie , Olusanya Micheal O. 
Published: January 2025

ABSTRACTThe advent of the Internet of Things (IoT) has transformed the concept of smart home automation, thereby allowing users to remotely interact with their houses and control home appliances for resource efficiency. This technological development has significantly improved convenience, safety, and overall lifestyles for homeowners. The impact of smart home automation systems (SHAS) extends beyond individual households, positively influencing the global economy in various aspects. While research in smart home automation has proposed solutions to wireless control and monitoring issues, there are still challenges hindering the widespread deployment of these systems. This paper conducts a detailed systematic analysis of state‐of‐the‐art SHAS, covering topics such as the concept of smart home automation, its application domains, architectural framework, enabling technologies, as well as the challenges involved. Furthermore, this paper provides reviews and discussions on the latest essential components, technologies, and protocols employed in designing and developing SHAS. By offering an in‐depth examination of the current scenery, this study aims to provide readers with a comprehensive understanding of smart home automation, its significance, and future research directions. Through addressing the challenges and presenting potential solutions, this research contributes to adopting wider acceptance and successful deployment of SHAS.