bluuebunny/crossref_metadata_2025_split huggingface dataset:
Polymorphism Dependent Cytotoxicity, Cellular Uptake, and Live Cell Imaging Studies on Napthalimide‐Vinyl‐Phenothiazine Conjugate
Authors: Munthasir Akkarakkaran Thayyil Muhammed , Rani Poonam , Dhanalakshmi Pandi , Pradhan Sambit , Thilagar Pakkirisamy 
Published: April 2024

AbstractPolymorphism‐dependent cytotoxicity and cellular uptake of drug molecules have been studied for the past two decades. However, the visualization of polymorph‐dependent cellular uptake and cytotoxicity using microscopy imaging techniques has not yet been reported. The luminescent polymorph is an ideal candidate to validate the above hypothesis. Herein, we report the polymorph‐dependent cellular uptake, cytotoxicity, and bio‐imaging functions of polymorphs 1Y and 1R of a naphthalimide‐phenothiazine dyad. These polymorphs show different luminescence colors in the solid state and exhibit aggregation‐induced enhanced emission (AIEE) in the DMSO‐Water mixture. Bioimaging, cytotoxicity assay, and fluorescence‐activated cell sorting (FACS) studies revealed that these polymorphs show different levels of cytotoxicity, cellular uptake, localization, and imaging potential. Detailed photophysical, morphological, and biological studies revealed that the difference in molecular conformation in these polymorphs enables them to form aggregates of different sizes and morphology, which leads to the differential uptake of these into the cells and consequently shows different cytotoxicity and imaging potentials.
UBE2C: A pan‐cancer diagnostic and prognostic biomarker revealed through bioinformatics analysis
Authors: Jalali Pooya , Samii Amir , Rezaee Malihe , Shahmoradi Arvin , Pashizeh Fatemeh , Salehi Zahra 
Published: April 2024

AbstractBackgroundThe diverse and complex attributes of cancer have made it a daunting challenge to overcome globally and remains to endanger human life. Detection of critical cancer‐related gene alterations in solid tumor samples better defines patient diagnosis and prognosis, and indicates what targeted therapies must be administered to improve cancer patients' outcome.Materials and methodsTo identify genes that have aberrant expression across different cancer types, differential expressed genes were detected within the TCGA datasets. Subsequently, the DEGs common to all pan cancers were determined. Furthermore, various methods were employed to gain genetic alterations, co‐expression genes network and protein–protein interaction (PPI) network, pathway enrichment analysis of common genes. Finally, the gene regulatory network was constructed.ResultsIntersectional analysis identified UBE2C as a common DEG between all 28 types of studied cancers. Upregulated UBE2C expression was significantly correlated with OS and DFS of 10 and 9 types of cancer patients. Also, UBE2C can be a diagnostic factor in CESC, CHOL, GBM, and UCS with AUC = 100% and diagnose 19 cancer types with AUC ≥90%. A ceRNA network constructed including UBE2C, 41 TFs, 10 shared miRNAs, and 21 circRNAs and 128 lncRNAs.ConclusionIn summary, UBE2C can be a theranostic gene, which may serve as a reliable biomarker in diagnosing cancers, improving treatment responses and increasing the overall survival of cancer patients and can be a promising gene to be target by cancer drugs in the future.
STRmt: A state transition based model for real‐time crowd counting in a metro system
Authors: Sun Li , Zhao Juanjuan , Zhang Jun , Zhang Fan , Ye Kejiang , Xu Chengzhong 
Published: April 2024

SummaryReal‐time estimation of crowd counting in underground metro systems, constrained by limited space, is crucial for managing heightened pedestrian volumes and responding promptly to emergencies. To address this challenge, we propose a passenger state transition‐based model, called STRmt, designed for the seamless and continuous monitoring of real‐time crowd movement within service areas of stations and trains, leveraging auto fare collection systems (AFC) as a comprehensive sensor network. Our innovation lies in modeling the dynamic movement of passengers within a metro system over time as a state transition process aligned with the train schedule. To achieve this, we introduce a spatio‐temporal deep learning framework, denoted as STnet, designed to dynamically predict these state transitions. The performance of our method is rigorously assessed through extensive experiments conducted spanning 2 years in Shenzhen, China, utilizing AFC data, train schedule data, and weather data. The results demonstrate that the proposed method surpasses baseline methods, achieving an estimation precision of 0.92.
Research on optimal deep learning‐based formation flight positioning of UAV
Authors: Lu Jing , Li Yongyi 
Published: April 2024

SummaryThe article examines the positional relationships and transmission/reception signal direction information within unmanned aerial vehicle (UAV) cluster formations. Considering the distinctive characteristics of various formation shapes (such as circle and cone), a study is conducted on the polar and Cartesian coordinate systems in neural network models to address position deviation issues arising in UAV formation flights. The passive receiving signal UAV positioning model is established by applying the triangular cosine theorem. Additionally, the position relationship model of the UAV is formulated using optimization theory. The article introduces a deep learning‐based deviated UAV adjustment algorithm designed to automatically adjust UAV positions. This is achieved by establishing a triangular relationship between the passive signal receiving UAV and other UAVs. The implementation involves C# programming and MATLAB visualization. The proposed method not only resolves UAV positioning and position adjustment challenges but also optimizes the adjustment strategy. This optimization leads to maximum savings in time and distance costs associated with sending and receiving signals among UAVs, thereby enhancing the overall performance of UAVs during flights.
Construction of Azo‐Linked Covalent Organic Frameworks via Monomer Exchange for Enhanced Photocatalytic Performance
Authors: Zhu Hongqi , Lu Wenjie , Gou Yu , Li Yang , Chen Ligong , Wang Bowei , Yan Xilong 
Published: April 2024

AbstractThe structural uniqueness of covalent organic frameworks (COFs) has brought great potential for their applications in photocatalysis. Two novel azo‐linked COFs AZO‐B‐COF and AZO‐T‐COF were successfully constructed by the monomer exchange method. Significantly, two as‐synthesized azo COFs presented a much higher photodegradation rate of 96 % and 51 % for AZO‐T‐COF and AZO‐B‐COF, respectively, which was in sharp contrast to the almost 0 degradation rate of imine COFs. And as expected, AZO‐T‐COF could be cycled at least 5 runs without a significant decrease in catalytic efficiency. Systematical experiments and theoretical calculations showed that comparing with imine COFs, conjugated structure of azo COFs broadened the visible‐light absorption range and improved the transfer efficiency of the photocarriers. The N‐rich azo bonds acted as an electron acceptor and made the materials better planarity. This work not only enriches COFs family but also demonstrated the superiority of azo‐linked COFs.
Let's Get Rolling: Precise Control of Microfluidic Assay Conditions to Recapitulate Selectin‐Mediated Rolling Interactions of the Leukocyte Adhesion Cascade
Authors: Amoabediny Zeinab , Mittal Aman , Guin Subham , Buffone Jr Alexander 
Published: April 2024

AbstractThe leukocyte adhesion cascade governs the recruitment of circulating immune cells from the vasculature to distal sites. The initial adhesive interactions between cell surface ligands displaying sialyl‐LewisX (sLeX) and endothelial E‐ and P‐selectins serve to slow the cells down enough to interact more closely with the surface, polarize, and exit into the tissues. Therefore, precise microfluidic assays are critical in modeling how well immune cells can interact and “roll” on selectins to slow down enough to complete further steps of the cascade. Here, we present a systematic protocol for selectin mediated rolling on recombinant surfaces and endothelial cell monolayers on polyacrylamide gels of varying stiffness. We also describe step‐by‐step the protocol for setting up and performing the experiment and how to analyze and present the data collected. This protocol serves to simplify and detail the procedure needed to investigate the initial selectin‐mediated interactions of immune cells with the vasculature. © 2024 The Authors. Current Protocols published by Wiley Periodicals LLC.Basic Protocol 1: Preparing dishes for cell rolling experimentsBasic Protocol 2: Fabrication of polyacrylamide gels for cell rolling experimentsAlternate Protocol 1: Protein conjugation with N6 linkerAlternate Protocol 2: HUVEC culturing for monolayersBasic Protocol 3: Conducting cell rolling experiments on polyacrylamide gelsBasic Protocol 4: ImageJ analysis of cell rolling moviesBasic Protocol 5: Quantification of Fc site density on a surface (e.g., for Fc chimeras)
Analysis of the quality of sustainability reports published by Brazilian companies: An analytic hierarchy process‐grey clustering approach
Authors: Sousa Isabela Caroline de , Sigahi Tiago F. A. C. , Rampasso Izabela Simon , Pinto Jefferson de Souza , Zanon Lucas Gabriel , Leal Filho Walter , Anholon Rosley 
Published: April 2024

AbstractThis paper aims to assess the extent to which Brazilian companies adhere to the accuracy, balance, clarity, comparability, reliability, and timeliness criteria recommended by the Global Reporting Initiative (GRI) standards. A survey was conducted with experts in sustainability reporting with extensive experience in the Brazilian corporate context. The analytic hierarchy process was employed to assign weights to the criteria, and a grey fixed weight clustering model was proposed to analyze the collected data. Clarity and accuracy received the highest weights, which is concerning given the quality observed in sustainability reports. A lower emphasis on timeliness in sustainability reporting reflects many companies' publishing practices, prompting more efficient reporting. The majority of respondents perceive the quality of information in sustainability reports from Brazilian companies as falling within the medium maturity range, suggesting significant room for enhancement. The originality of this study lies both in the methodological approach, which combines multicriteria decision techniques capable of incorporating uncertainty related to data on sustainability reports, as well as in the results that provide information for improving sustainability reporting practices. The findings provide a foundation for companies and policymakers to enhance sustainability reporting, particularly in developing nations, promoting transparency, accountability, and international standard compliance.
Arginine Acts as both Co‐Solvent and Catalyst in Regioselective Eutectic‐Mediated Dimerization of Levulinic Acid
Authors: Neal Taylor , Dull Joseph , Barnabas Freddy , Bacca Lori , Thomas Jacqueline , Moore Curtis , Sun Yiping , Badjić Jovica 
Published: April 2024

AbstractA simple, solvent‐free arginine‐catalyzed aldol dimerization of levulinic acid was achieved via the simultaneous formation of a eutectic mixture. Dimers of levulinic acid are valued as biomass‐derived fine chemical precursors, with potential to upgrade to bio‐jet fuels or N‐containing functional chemicals. Typically, these dimers are produced as isomeric mixtures using high temperatures and a variety of solid inorganic catalysts or mineral acids. In this study, an organocatalytic and regioselective dimerization was achieved at 22 % conversion on either a bench or kilogram scale using mild temperatures and only L‐arginine as both a co‐solvent and catalyst. The intricate H‐bonding network comprising the eutectic solvent was harnessed to produce only one product, minimizing side reactivity and preserving the reactants for recycling.
A multi‐receiver adaptive design of variable magnetic coupled structure for omnidirectional WPT system
Authors: Li Musong , Zhang Xian , Dai Zhongyu , Chen Zhixin , Wang Ran , Xiao Xingtao 
Published: April 2024

SummaryOmnidirectional Wireless Power Transfer (OWPT) system can provide power to multiple loads in space. The different loads have different requirements for current and power levels under various operating conditions. This paper proposes a Variable Receiving Coil (VRC) structure and its control strategy. Active regulation of the output current is achieved by adjusting the geometric size of the receiving coil. Meets the power supply needs of equipment in different scenarios. This design allows the effective value of the VRC current to remain stable within the range of 1.01–1.62A (transmission distance of 22–27 cm). By adjusting the geometric transformation state of the VRC, different output currents can be obtained under fixed positions, loads, and input voltages. The designed receiver can meet the differential current requirements of multiple spatial loads, and is insensitive to factors such as load, transmission distance, and rotation angle. This system can reduce the design complexity of charging and power supply systems and effectively promote the application of Wireless Power Transfer (WPT) in the field of Internet of Things devices.
Using ecological niche modelling to prioritise areas for conservation of the critically endangered Buffy‐Headed marmoset (Callithrix flaviceps)
Authors: Bataillard Léa , Eriksen Ane , de Melo Fabiano R. , Milagres Adriana Pereira , Devineau Olivier , Vital Orlando Vítor 
Published: April 2024

AbstractEndemic to the Atlantic Forest in Southeastern Brazil, the critically endangered Buffy‐Headed marmoset (Callithrix flaviceps) is lacking the required attention for effective conservation. We modelled its ecological niche with the main objectives of (1) defining suitable habitat and (2) prioritising areas for conservation and/or restoration. The current geographical range ofCallithrix flavicepsin the Atlantic Forest of Southeast Brazil. We used Ensemble Species Distribution Modelling to define current habitat suitability considering four climate and two landscape variables. To identify areas to prioritise for conservation and/or restoration, we predicted future habitat suitability considering the intermediate (RCP4.5) and extreme (RCP8.5) climate change scenarios for the years 2050 and 2070. Among the variables included to predict current species distribution, tree canopy cover, precipitation seasonality and temperature seasonality were the most important whereas digital elevation model and precipitation during the wettest month were the least important.Callithrix flavicepswas most likely to occur in areas with tree canopy cover >80%, high precipitation seasonality and temperature seasonality between 21 and 23°C. From the future suitability prediction maps, the Caparaó National Park stands out as a likely key area for the preservation of the species. Furthermore, high climatic suitability but low landscape suitability suggests that habitat restoration in ‘Serra das Torres’ (South of the current distribution area) might be a useful strategy. However, creating ecological corridors on the west side of Caparaó would be necessary to improve connectivity. More surveys within and beyond the current geographical range are required to define more precisely the distribution of the species. Our results support the notion that seasonality is important forCallithrix flavicepsand that as a montane species, it prefers colder environments and higher altitudes. Within both climate change scenarios, Caparaó National Park was predicted to be highly suitable, with a high probability of presence.
Normal fat intake with high MUFA content and an appropriate SFA/MUFA/PUFA ratio improved the health of rats
Authors: Zhou Yuhao , Yang Ligang , Chu Chu , Chen Shiqing , Yue Danwei , Hao Yoong Jun , Sun Guiju , Xia Hui 
Published: April 2024

AbstractThe quantity and quality of dietary fats have a significant impact on human health. This study aimed to investigate the effects of different cooking oils (olive oil (OO), soybean oil (SO), and blended oil (BO)) on growth, glucolipid metabolism, inflammation, and oxidative stress of rats fed normal and high‐fat diets. The results showed that the OO‐fed group had lower concentrations of serum triglyceride (TG), low‐density lipoprotein cholesterol (LDL‐C), malondialdehyde (MDA), oxidized LDL‐C (ox‐LDL‐C), and serum total cholesterol (TC) than the normal‐fat SO‐fed group, and rats in the BO‐fed group had lower values of serum interleukin‐6 (IL‐6), high‐sensitivity C‐reactive protein (hs‐CRP), tumor necrosis factor (TNF‐α), and nonesterified fatty acids (NEFA) than the normal‐fat SO‐fed groups. However, higher serum glutathione peroxidase (GSH‐Px) activity was observed in the OO‐fed group, while those fed with BO had higher serum superoxide dismutase (SOD) and GSH‐Px activities. Generally, most health‐beneficial fatty acid profiles have a high content of monounsaturated fatty acids (MUFAs), an appropriate saturated fatty acid (SFA)/MUFA/poly unsaturated fatty acid (PUFA) ratio, and a low n‐6/n‐3 PUFA ratio, while diets contained a high content of fat is detrimental to health.
Estimation and selection for spatial zero‐inflated count models
Authors: Shen Chung‐Wei , Chen Chun‐Shu 
Published: April 2024

AbstractThe count data arise in many scientific areas. Our concerns here focus on spatial count responses with an excessive number of zeros and a set of available covariates. Estimating model parameters and selecting important covariates for spatial zero‐inflated count models are both essential. Importantly, to alleviate deviations from model assumptions, we propose a spatial zero‐inflated Poisson‐like methodology to model this type of data, which relies only on assumptions for the first two moments of spatial count responses. We then design an effective iterative estimation procedure between the generalized estimating equation and the weighted least squares method to respectively estimate the regression coefficients and the variogram of the data model. Moreover, the stabilization of estimators is evaluated via a block jackknife technique. Furthermore, a distribution‐free model selection criterion based on an estimate of the mean squared error of the estimated mean structure is proposed to select the best subset of covariates. The effectiveness of the proposed methodology is demonstrated by simulation studies under various scenarios, and a real dataset regarding the number of maternal deaths in Mozambique is analyzed for illustration.
Life cycle assessment and life cycle costing approach for building decarbonization by design choices: A case study
Authors: Umdu Emin Selahattin , Yildirim Nurdan , Güzel Poyraz , Alakavuk Ebru , Cinar Umdu Duygu 
Published: April 2024

AbstractDecarbonizing the urban environment has two significant challenges: Increasing electricity demand due to the electrification of space heating and increased renewables share in the electricity supply. The European Commission defines a new grid support mechanism for peak‐shaving products in renewed Electricity Market Design. This aims to enable a new market tool to stabilize electric supply and demand. This study examines a grid‐integrated thermal storage device's technical feasibility and economic performance to meet net zero building (nZEB) definitions. Alternative scenarios considering current national nZEB targets, present energy market options, and regulations are compared using the life cycle cost and the global warming potentials over the building lifetime. The results show that better building performance is possible even with a low investment increase of 6.7% compared to minimum building standards based on regulations. This enables older building cases to perform similarly with new building targets for Turkish National nZEB. Building electrification using heat pumps and thermal storage systems gives similar economic performances in the long term when a dynamic electricity tariff is available. Adapting the life cycle approach to decision‐making in construction contracts can lead to a 50% decrease in building emissions while staying within the same construction budget.
Performance and reporting predictability of hedge funds
Authors: Becker‐Foss Elisa 
Published: April 2024

AbstractThis paper proposes a predictive approach to forecast future hedge fund performances and reporting stops to a commercial database within a subsequent year. We found that gradient boosting of decision trees is well suited to make a prognosis about the future development and reporting stops of hedge funds. The derived models are trained and evaluated using a panel of 5,592 individual hedge funds. We rank the impact of 22 variables that are computed out of hedge fund reporting (micro variables) and three different market environments (macro variables) on the predictability of hedge fund performance. In this way, we show the economic reasonability of the computed models and demonstrate the superiority of statistical learning algorithms.
Constructing a high‐frequency World Economic Gauge using a mixed‐frequency dynamic factor model
Authors: Lian Chua Chew , Tsiaplias Sarantis , Zhou Ruining 
Published: April 2024

AbstractThis paper uses information at the daily, monthly, and quarterly frequencies to construct a daily World Economic Gauge (WEG). We postulate a mixed‐frequency dynamic factor model to extract data observable at different frequencies in order to track the health of the global economy. We show that the WEG offers a reliable basis for tracking economic activity during key events such as COVID‐19 and the Global Financial Crisis. Moreover, the WEG is shown to contain leading information about the output growth of the OECD, G7, NAFTA, European Union, and euro areas, in addition to the output growth of 42 individual countries.
Seasonal dynamics of water and sediment in the permafrost basin of the Qinghai‐Tibet plateau and its driving factors
Authors: Xiao JinWang , Li JinLong , Sun Shouqin , Wang GenXu 
Published: April 2024

AbstractClimate change has regulated cryosphere‐fed rivers and altered interannual and seasonal sediment dynamics, with significant implications for terrestrial material cycles and downstream aquatic ecosystems. However, there has been a notable scarcity of research focusing on the patterns of water–sediment transport within these permafrost zones. Integrating 6 years (2017–2022) of in‐situ observational data from FengHuoShan basin with the partial least squares‐structural equation modelling (PLS‐SEM) method, we analyse the driving factors, characteristics and seasonal patterns of the water–sediment transport process. We observed a gradual increase in both suspended sediment flux (SSF, Mt/yr) and runoff (Q, km3/yr) within the basin, with annual growth rates of 1.34%/yr and 0.75%/yr, respectively. It is worth noting that these growth rates exhibit seasonal variations, with the highest values observed in spring (SSF: 1.76%/yr, Q: 1.71%/yr). This indicates that the response to climate change is more pronounced in spring compared with summer and autumn. Through mathematical statistics and the PLS‐SEM model, we found that temperature plays a predominant role in the dynamics of water–sediment in both spring and autumn, whereas rainfall exerts a more significant impact during the summer. Most suspended sediment concentration (SSC, kg/m3) peak events throughout the year are primarily driven by rainfall. Affected by the freeze–thaw cycle of permafrost, SSC and discharge (Q, m3/s) exhibit distinct seasonality. SSC and Q demonstrate a clockwise trend; both Q and SSC begin to increase from May and peak in August before declining. The insights gleaned from this study hold significant implications for water resource management and soil conservation strategies in the region, particularly in the face of ongoing climatic changes characterized by warming and increased humidity.