bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Advanced Energy Efficient Resource Allocation for Software‐Defined WSN Using Hybrid Optimization Algorithm
Authors: Ballary Ramachandra , Hegde Rajeshwari M. 
Published: January 2025

ABSTRACTSoftware‐Defined Wireless Sensor Networking (SDWSN) is termed a rising network structure that has become more important to the Internet of Things (IoT). In this network structure, the control planes effectively manage the sensor plane. Due to these kinds of separation, the management of networks became easier and also their efficacies are enhanced in the self‐motivated atmosphere. The common issue presented in the sensor atmosphere is minimal life in the network devices inspired by the maximal level of energy consumption rate. The current study provides a system architecture that intends to increase efficiency in an SDWSN by incorporating optimization techniques. A novel hybrid optimization strategy is created by merging the Election‐Based Optimization Algorithm (EBOA) with the Ladybird Beetle Optimization Algorithm (LBOA), and the result is known as Hybrid Election‐based Ladybird Beetle Optimization (HELBO). This work examines an energy‐efficient resource allocation mechanism in SDWSNs that have substantial computing power and memory. These algorithms optimize the bandwidth along with power allocation in the SDWSN to attain a considerable Signal to Interference plus Noise Ratio (SINR) under the individual constraint of quality of service. Finally, empirical findings show that the recommended HELBO method outperforms other present algorithms.
Multiscale Nonlinear Response of Extreme Meteorological–Hydrothermal Events in the Upper Reaches of the Yangtze River
Authors: Yu Long , Guo Wenxian , Yang Huan , Li Yanhua , Wang Hongxiang 
Published: January 2025

ABSTRACTUnder the backdrop of climate warming, the outbreak of short‐term extreme heat events can easily lead to irreversible changes in aquatic ecosystems. Delving into their intrinsic driving mechanisms and nonlinear characteristics is key to preventing natural disasters. This study, focusing on the upper Yangtze River as the research area, constructs a joint copula function model to analyze the joint occurrence probability and return period of extreme meteorological heat events. Through the bivariate cross–wavelet transform method, the study explores the multiscale dynamic response relationships and phase characteristics of extreme meteorological–hydrothermal events in the upper Yangtze River. Furthermore, a joint multifractal model of nonlinear responses for extreme meteorological–hydrothermal events was established. The results indicate that extreme high‐heat meteorological events in the upper Yangtze River tend to occur more frequently and severely, with duration–kurtosis events likely to coincide within a 2‐year return period, as well as high‐intensity low‐frequency high‐heat duration–severity events occurring simultaneously. Overall, before 2005, extreme high‐hydrothermal events exhibited phase characteristics lagging behind meteorological changes, which then shifted from lag to lead. Under three scenarios of change, meteorological–hydrothermal events exhibit a clear nonlinear response relationship. Apart from duration, severity and kurtosis all show significant nonlinear relationships.
A long‐term study on food choices and nutritional goals of a leaf‐eating primate
Authors: Lauer Patrick , Chapman Colin A. , Omeja Patrick , Rothman Jessica M. , Kalbitzer Urs 
Published: January 2025

AbstractEfficient foraging plays a critical role in fitness, yet food choices and underlying nutritional goals vary among animals. To understand those choices and therefore the importance of different food resources, many studies estimate food preferences by applying electivity indices that account for resource availabilities. However, the general applicability of electivity indices in biologically relevant foraging scenarios is unclear. Our major aims were to find effective methods to estimate animals' food choices and to investigate long‐term food choices and underlying nutritional goals of the red colobus monkey (Piliocolobus tephrosceles) in Kibale National Park, Uganda, an endangered folivore. We used simulations of different foraging conditions to evaluate the applicability of electivity indices in biologically relevant scenarios to help interpret our results. Then, we used long‐term data collected between 2006 and 2016 on the feeding behavior and ecology of red colobus to determine the consumption frequencies of different foods and their food preferences. Based on these results and nutritional concentrations of young leaves of frequently consumed tree species, we investigated the importance of the protein‐to‐fiber ratio in their diet. Our simulations highlight limitations of electivity indices in biologically relevant foraging scenarios. Further, red colobus clearly chose young leaves over other plant parts, and, considering species and plant part, red colobus fed on many different items, but few dominated their diet. The availability and spatial distribution varied across the most consumed foods, but red colobus preferences remained mostly stable over time. Protein‐to‐fiber ratio had no association with preference but with consumption frequencies of different young leaves. The limitations of electivity indices in different foraging conditions underline the importance of comparing food preferences with consumption frequencies to assess the importance of different food resources. Our results provide a robust understanding of the food choices and nutritional goals of a leaf‐eating animal that can ultimately be used for implementing more effective conservation measures by directing habitat protection or restoration efforts toward these resources.
Environmental DNA Haplotyping Reveals Dispersal Patterns of Invasive Bluegill Sunfish, Lepomis macrochirus, in Japan
Authors: Wakimura Kei , Yonekura Ryuji , Yamanaka Hiroki , Uchii Kimiko 
Published: January 2025

ABSTRACTBiological invasions represent a significant threat to global biodiversity. Population genetics plays a crucial role in addressing the invasion history of invasive species, as information on the genetic structure of local populations of invasive species is useful in estimating their source and dispersal. This study aimed to demonstrate the potential of an environmental DNA (eDNA)‐based approach for estimating the dispersal patterns of invasive species, using bluegill sunfish (Lepomis macrochirus), a freshwater fish introduced to Japan in 1960. We developed an eDNA haplotyping assay based on high‐throughput sequencing and validated its ability to reproduce the haplotype distribution of bluegill sunfish in Japan, which had previously been determined through DNA analysis of individual fish. We also detected a negative relationship between the number of detected haplotypes and the geographic distance from Lake Biwa, one of the initial introduction sites, to each study site. This genetic pattern can occur in introduced species as a result of serial founder events during their range expansion. Our results suggested that Lake Biwa is the source of bluegill sunfish distribution in Japan, which is consistent with the invasion records of this species. We demonstrated the potential of the eDNA haplotyping assay for estimating the dispersal patterns of invasive species, which would aid the preparation of countermeasures against emerging biological invasions by simultaneously enabling the early detection and tracking of invasive species.
Pro‐adrenomedullin as an independent predictive biomarker for heart failure in atrial fibrillation and flutter
Authors: Hu Gaifeng , Peng Xiaodong , He Liu , Lai Yiwei , Liu Nian , Li Xin , Sang Caihua , Dong Jianzeng , Ma Changsheng 
Published: January 2025

AbstractAimsThis study aimed to investigate potential biomarkers for predicting incident heart failure (HF) in patients with atrial fibrillation and flutter (AF and AFL), utilizing proteomic data from the UK Biobank Pharma Proteomics Project (UKB‐PPP).MethodsThis study analysed data from AF and AFL patients, split into discovery (n = 1050) and replication (n = 305) cohorts. Plasma biomarkers were screened using a multivariable‐adjusted Cox proportional hazards model. Kaplan–Meier survival analysis and area under the receiver operating characteristic (ROC) curve assessments were conducted to evaluate predictive performance.ResultsOver a follow‐up of 14.2 years, 222 cases (21.1%) of HF were documented in the discovery cohort, while 117 cases (38.4%) occurred over 13.8 years in the replication cohort. Out of 2923 proteins measured, only pro‐adrenomedullin (pro‐ADM) consistently showed a significant association with incident HF in both cohorts. In the discovery cohort, each unit increase in pro‐ADM was linked to an increased risk of HF (HR = 2.78, 95% CI 1.64–4.71, P < 0.001, FDR = 0.026), which was confirmed in the replication cohort (HR = 3.95, 95% CI 1.97–7.94, P < 0.001, FDR = 0.012). Kaplan–Meier analysis demonstrated that patients with higher pro‐ADM levels had significantly shorter time to HF onset, with median times ranging from 2306 to 3183 days across quartiles (P < 0.001). The cumulative incidence of HF ranged from 15.3% to 42.7% across quartiles of pro‐ADM (log‐rank P < 0.001). Adding pro‐ADM to a model with traditional risk factors, including NT‐proBNP, significantly improved predictive accuracy for 3‐year (AUC = 0.783; integrated discrimination improvement [IDI] = 0.010 and net reclassification index [NRI] = 0.206, both P = 0.002) and 5‐year (AUC = 0.749, IDI = 0.013, NRI = 0.179, P = 0.001) risk of HF. In sensitivity analyses, the association between pro‐ADM and incident HF remained consistent after excluding participants with self‐reported AF and AFL, with each unit increase in pro‐ADM being associated with an increased risk of HF (HR = 1.77, 95% CI 1.02–3.04, P = 0.041) and across subgroups of paroxysmal AF (HR = 2.80, 95% CI 1.11–7.07, P = 0.029) and persistent AF (HR = 4.36, 95% CI 1.41–13.43, P = 0.010).ConclusionsPro‐ADM is identified as an independent biomarker for predicting incident HF in AF and AFL patients. Its inclusion in risk prediction models enhances the ability to stratify HF risk beyond traditional biomarkers, demonstrating its potential utility in clinical practice.
Construction and Reactivity of Benzimidazole‐Modified Thiolate‐Bridged Diiron Complexes with Different Electronic Structures
Authors: Di Kai , Yang Dawei , Du Ronghuan , Dong Shengbin , Wang Baomin , Qu Jingping 
Published: January 2025

AbstractThiolate‐bridged diiron complexes have drawn extensive attention due to their wide applications in the biomimetic simulation for the structure and function of various metalloenzymes and the related bioinspired catalysis. Through the introduction of the functional subunit into the bridging thiolate ligands, the resulting thiolate‐bridged diiron complexes with different geometric and electronic structures can exhibit distinct reactivity. Herein, we utilize a half‐sandwich type of mononuclear iron complex as the reaction precursor to construct two novel thiolate‐bridged diiron complexes featuring the benzimidazole moiety through the oxidative dimerization strategy. X‐ray diffraction analysis reveals the two thiolate ligands containing the benzimidazole group in a syn arrangement bridge the two iron centers through the sulfur and nitrogen atoms. Furthermore, Mössbauer spectroscopy and computational studies suggest two complexes both possess two low‐spin FeIII ions, but adopt different magnetic couplings to give different electronic structures. Notably, difference in geometric and electronic structures between two complexes results in the distinct reactivity toward the azide species.
A Pair of Hydrogen‐Bonded Cobalt(II) Complexes Showing the Proton Conduction and Spin Crossover Property
Authors: Liu Fu‐Bin , Shang Meng‐Jia , Lu Han‐Han , Li Jing , Kong Cong , Zhang Wen‐Jing , Meng Yin‐Shan , Liu Tao 
Published: January 2025

AbstractAchieving high proton conductivity in spin‐crossover (SCO) compounds is promising for the development of magnetoelectric and spintronics devices. In this work we designed two spin‐crossover and proton‐conductive bifunctional Co(II) compounds, [Co(Pyrimidine‐terpy)2](BF4)2⋅2H2O (1⋅2H2O; Pyrimidine‐terpy=4′‐(5‐pyrimidinyl)‐2,2′:6′,2“‐terpyridine) and [Co(Pyrimidine‐terpy)2](ClO4)2⋅2H2O (2⋅2H2O). Both compounds undergo the typical spin transitions and have a hydrogen‐bonding network consisting of anions with solvent water molecules. At 353 K and under 95 % relative humidity, the proton conductivity of 1⋅2H2O was 1.9×10−4 S cm−1 and that of 2⋅2H2O was 7.5×10−5 S cm−1. The activation energy analysis indicates that the proton conduction of 1⋅2H2O follows the Vehicle mechanism in the temperature range of 303–318 K, while the Grotthuss mechanism plays a dominant role in the higher temperature range of 323–353 K. Additionally, 2⋅2H2O also follows the Grotthuss mechanism in the temperature range of 338–353 K. This study provides new guidelines for the design of novel SCO molecular materials with proton conduction functionality.
A Platinum Complex Capable of Forming a Crystal Containing Two Distinct Molecular Arrangements
Authors: Seki Tomohiro , Yano Akihito 
Published: January 2025

AbstractA platinum complex that contains benzoselenophene and 2,6‐dichlorophenyl isocyanide groups [Pt(BS)2(DCPI)2; BS=2‐benzoselenophenyl, DCPI=2,6‐dichlorophenyl isocyanide; 1] forms crystalline samples that show blue or green emission. The blue‐emitting crystals showed luminescent mechanochromism, affording a green‐emitting powder due to a grinding‐induced crystal‐to‐amorphous phase transition. Despite the different emission colors of the green‐ and blue‐emitting crystals, their powder X‐ray patterns are similar, suggesting that the green‐emitting crystals contain both the blue‐emitting crystal domain and a small amount of an amorphous phase, between which energy transfer occurs to achieve the green photoluminescence from the minor domain.
Efficient Energy Management System for AC–DC Microgrid and Electric Vehicles Utilizing Renewable Energy With HCO Approach
Authors: Sruthi S. , Karthikumar K. , Chandrasekar P. 
Published: January 2025

ABSTRACTThe reliability of various energy sources can be increased and distributed production and renewable energy can be fully integrated into the power grid on a wide scale through the growth and development of the microgrid (MG). Global energy difficulties are brought about by the finite supply of fossil fuels and the world's expanding energy consumption. Due to these challenges, the electric power system has to convert to a renewable energy‐based power generation system to produce clean, green energy. However, because of the unpredictable nature of the environment, the shift toward the use of renewable energy sources raises uncertainty in the production, control, and power system operation. This manuscript proposes a renewable energy‐based energy management system for electric vehicles and AC–DC MGs. The proposed method is Hermit Crab Optimizer (HCO). The major goal of the proposed strategy is to supply steady power regardless of generation disparity, which should stop the storage devices from degrading too quickly. The HCO approach provides a stable power balance for MG operation. The proposed technique efficiently strikes a power balance to meet load requirements and recharge electric cars. By then, the proposed strategy is implemented in the MATLAB platform and the execution is computed with the existing procedure. The proposed technique displays better outcomes in all existing systems like biogeography‐based optimization (BBO) algorithm, particle swarm optimization (PSO) algorithm, genetic algorithm (GA), and artificial neural network (ANN). The existing technique shows the cost of 25$, 30$, 35$, 40$, and the proposed technique displays the cost of 20$ which is lower than the other existing techniques.
Effect of Ni Incorporation in KCoPO4 on the Charge Storage Capacity of KCo1 − xNixPO4 (0 ≤ x ≤ 0.5) Electrodes for the Fabrication of High‐Performing Hybrid Supercapacitors
Authors: Nigam Krishna Gopal , Singh Abhijeet Kumar , Mukherjee Soham , Gupta Asha , Singh Preetam 
Published: January 2025

ABSTRACTFulfilling the increasing energy demands of the world through renewable energy sources requires the utilization of a highly efficient large‐scale electrochemical energy storage device. A hybrid supercapacitor (HSC) that consists of a battery‐type electrode coupled with a counter‐capacitive electrode, while in principle offering supercapacitor‐like power, cyclability, and higher energy density, can be a potential device for large‐scale energy storage to cater to the energy needs through renewable energy sources. The KCo0.5Ni0.5PO4 electrode demonstrated notably enhanced electrochemical performance, attributed to the synergistic interaction of Co2+ and Ni2+ ions in a phosphate framework. The incorporation of redox‐mediated diffusive charge storage through the incorporation of Ni2+ on the Co2+ site resulted in a large‐scale charge storage capacity, coupled with capacitive‐type surface charge storage on the KCo1−xNixPO4 electrodes. The KCo0.5Ni0.5PO4 delivers 173 mAh/g (capacitance: 1038 F/g) at a current density of 0.5 A/g in an aqueous 2 M KOH electrolyte, accompanied by cyclic stability up to 5000 cycles. HSC mode consists of activated carbon as the negative electrode along with KNi0.5Co0.5PO4 as the positive electrode, displaying high energy density and power density of 183.7 Wh/kg and 7952 W/kg, respectively, in 2 M aqueous KOH electrolyte. The superior performance in HSC mode makes KCo0.5Ni0.5PO4 a potential positive electrode for the development of high‐performing HSCs.
Mineral Plastics and Gels from Multi‐Arm Ionomers
Authors: Shimony Neta , Gross Adi , Mizrahi Boaz 
Published: January 2025

AbstractPlastic production and waste are a growing menace that affects the soil, the marine environment, and the air in a cumulative manner. The demand for mineral and bioplastics from renewable and biodegradable materials has therefore increased in all relevant sectors. The use of currently available degradable plastics is, however, limited by their poor mechanical properties and high production costs. In addition, many of today's plastics undergo uncontrolled biodegradation processes that involve harsh or expensive conditions and which may last from months to years. Here, the advantages of using multi‐arm polymers for the production of sustainable mineral plastics are presented. A 4‐arm poly(acrylic acid) is synthesized via atom transfer radical polymerization and is reacted with divalent calcium ions to obtain semi‐liquid hydrogel or degradable plastic when dried. The mechanical properties of the different phases are evaluated and compared with linear poly(acrylic acid) of the same molecular weight. The multi‐arm approach yielded improved mechanical characteristics, including self‐healing and biodegradation without compromising other typical hydrogel characteristics. This concept of synthesizing multi‐arm polymers with improved characteristics from building blocks of traditionally linear structures may be applicable to other mineral and bioplastic materials including acrylates, polysaccharides, and DNA.
Sex‐Specific White Matter Abnormalities Across the Dynamic Pain Connectome in Neuropathic Pain: A Fixel‐Based Analysis Study
Authors: Mills Emily P. , Bosma Rachael L. , Rogachov Anton , Cheng Joshua C. , Osborne Natalie R. , Kim Junseok A. , Besik Ariana , El‐Sayed Rima , Bhatia Anuj , Davis Karen D. 
Published: January 2025

ABSTRACTA fundamental issue in neuroscience is a lack of understanding regarding the relationship between brain function and the white matter architecture that supports it. Individuals with chronic neuropathic pain (NP) exhibit functional abnormalities throughout brain networks collectively termed the “dynamic pain connectome” (DPC), including the default mode network (DMN), salience network, and ascending nociceptive and descending pain modulation systems. These functional abnormalities are often observed in a sex‐dependent fashion. However, the enigmatic white matter structural features underpinning these functional networks and the relationship between structure and function/dysfunction in NP remain poorly understood. Here we used fixel‐based analysis of diffusion weighted imaging data in 80 individuals (40 with NP [21 female, 19 male] and 40 sex‐ and age‐matched healthy controls [HCs]) to evaluate white matter microstructure (fiber density [FD]), macrostructure (fiber bundle cross section) and combined microstructure and macrostructure (fiber density and cross section) within anatomical connections that support the DPC. We additionally examined whether there are sex‐specific abnormalities in NP white matter structure. We performed fixel‐wise and connection‐specific mean analyses and found three main ways in which individuals with NP differed from HCs: (1) people with NP exhibited abnormally low FD and FDC within the corona radiata consistent with the ascending nociceptive pathway between the sensory thalamus and primary somatosensory cortex (S1). Furthermore, the entire sensory thalamus—S1 pathway exhibited abnormally low FD and FDC in people with NP, and this effect was driven by the females with NP; (2) females, but not males, with NP had abnormally low FD within the cingulum consistent with the right medial prefrontal cortex—posterior cingulate cortex DMN pathway; and (3) individuals with NP had higher connection‐specific mean FDC than HCs in the anterior insula—temporoparietal junction and sensory thalamus—posterior insula pathways. However, sex‐specific analyses did not corroborate these connection‐specific findings in either females or males with NP. Our findings suggest that females with NP exhibit microstructural and macrostructural white matter abnormalities within the DPC networks including the ascending nociceptive system and DMN. We propose that aberrant white matter structure contributes to or is driven by functional abnormalities associated with NP. Our sex‐specific findings highlight the utility and importance of using sex‐disaggregated analyses to identify white matter abnormalities in clinical conditions such as chronic pain.
MicroRNA Profiling of Bone Marrow Plasma Extracellular Vesicles in Multiple Myeloma, Extramedullary Disease, and Plasma Cell Leukemia
Authors: Gregorova Jana , Vlachova Monika , Vychytilova‐Faltejskova Petra , Dostalova Adela , Ruzickova Tereza , Vecera Marek , Radova Lenka , Pospichalova Vendula , Sladecek Stanislava , Hyzdalova Martina , Kotaskova Jana , Jarosova Marie , Masek Josef , Benesova Klara , Jarkovsky Jiri , Rihova Lucie , Bezdekova Renata , Almasi Martina , Boichuk Ivanna , Stork Martin , Pour Ludek , Sevcikova Sabina 
Published: January 2025

ABSTRACTMultiple myeloma is a plasma cell malignancy characterized by an abnormal increase in monoclonal immunoglobulins. Despite significant advances in treatment, some patients progress to more aggressive forms of multiple myeloma, including extramedullary disease or plasma cell leukemia. Although the exact molecular mechanisms are not known, several studies have confirmed the involvement of small extracellular vesicle‐enriched microRNAs in multiple myeloma progression. Therefore, we performed expression profiling of these molecules in bone marrow plasma of multiple myeloma, extramedullary disease, and plasma cell leukemia patients using small RNA sequencing to identify novel molecules involved in disease pathogenesis. In total, 42 microRNAs were significantly dysregulated among analyzed subgroups. Independent validation by RT‐qPCR confirmed elevated levels of miR‐140‐3p, miR‐584‐5p, miR‐191‐5p, and miR‐143‐3p in multiple myeloma patients compared to extramedullary disease and plasma cell leukemia patients. Subsequent statistical analysis revealed significant correlations between patient clinical characteristics or flow cytometry parameters and microRNA expression. These results indicate that dysregulation of microRNAs could contribute to multiple myeloma progression.