bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developments, Novel Concepts, and Challenges of Current Collectors: From Conventional Lithium Batteries to All‐Solid‐State Batteries
Authors: Zhang Ying , Jing Shenghao , Shen Huaqing , Li Sijia , Huang Yuting , Shen Yuxing , Liu Siliang , Zhang Zongliang , Liu Fangyang 
Published: April 2024

AbstractWith the innovation and evolution of lithium batteries, different active materials are loaded onto the current collectors, leading to remarkable changes in the components that directly interact with the current collectors. The surface/interface of current collectors in lithium batteries is gradually becoming one of the key factors to improve the overall performance. The thickness, material composition, surface morphology, and intrinsic properties of current collectors are crucial for understanding chemo‐mechanical changes during electrochemical reactions. Despite the widely acknowledged importance of highly efficient electron transportation and improved interfacial performance of current collectors as one of the determinants of exceptional lithium battery performance, insufficient attention has been given to exploring targeted design strategies for current collectors used in various lithium batteries. Particularly, as the development of solid‐state lithium batteries in full swing, there are limited studies focused on current collectors in all‐solid‐state lithium batteries (ASSLBs). This review introduces recent advancements in current collector technology, while highlighting both similarities and differences between negative current collectors applied in conventional lithium batteries and ASSLBs. Furthermore, we propose promising prospects for utilization of alloy materials as next‐generation negative current collectors.
Classification and Identification of Perfume Scents by an Enantioselective Colorimetric Sensor Array of Chiral Metal‐Organic‐Framework‐Based Fabry‐Pérot Films
Authors: Zhan Kuo , Kanj Anemar Bruno , Heinke Lars 
Published: April 2024

AbstractMany odors, like perfumes, are complex mixtures of chiral and achiral molecules where the cost‐efficient (enantio−)selective sensing represents a major technical challenge. Here, we present a colorimetric sensor array of surface‐mounted metal‐organic‐framework (SURMOF) films in Fabry‐Pérot (FP) cavities. The optical properties of the FP‐SURMOF films with different chiral and achiral structures are affected by the (enantio−)selective adsorption of the analytes in the SURMOF pores, resulting in different responses to the analyte molecules. The read‐out of the sensor array is performed by the digital camera of a common smartphone, where the RGB values are determined. By analyzing the sensor array data with simple machine learning algorithms, the analytes are discriminated. After demonstrating the enantioselective response for a pair of pure chiral odor molecules, we apply the sensor array to detect and discriminate a large number (16) of common commercial perfumes and eau de toilettes. While our untrained human nose is not able to discriminate all perfumes, the presented colorimetric sensor array can classify all perfumes with great classification accuracy. Moreover, the sensor array was used to identify unlabeled samples correctly. We foresee such an FP‐chiral‐SURMOF‐based sensor array as a powerful approach toward inexpensive selective odors sensing applications.
Thiourea‐Modified Multiwalled Carbon Nanotubes as Electrochemical Biosensor for Ultra‐Precise Detection of Dopamine
Authors: Jaryal Vishal Bharati , Kumar Sachin , Singh Dilbag , Gupta Neeraj 
Published: April 2024

AbstractFunctionalized multi‐walled carbon nanotubes (MWCNTs) have enticed remarkable attention in the field of electrochemical sensing applications. Dopamine (DA) is a monoamine neurotransmitter released in the brain acting as a chemical messenger that communicates messages between nerve cells and rest of the body. Therefore, there is a significant technological urge for the development of electrochemical sensors for DA in body fluids. In this context, nitrogen‐functionalized MWCNTs (TM‐CNT600) were fabricated by thermal annealing of carboxylic acid functionalized MWCNTs with thiourea at 600 °C under N2 atmosphere. The XPS spectrum reveals the presence of nitrogen‐containing functionalities in the as‐prepared TM‐CNT600. FTIR results show the presence of −OH, C−N and C−S functional groups. XPS further corroborates the FTIR results and quantifies the predominant functional groups in as‐prepared material. The material was investigated as a potential electrochemical sensor for the detection of dopamine (DA). In the case of TM‐CNT600/GCE, a linear relationship for DA concentration was observed in the range of 10.7–24.2 μM with the limit of detection (LOD) of 1.42 μM using linear sweep voltammetry (LSV). These results highlight the potential of TM‐CNT600 modified GCE as an efficient sensor for the electrochemical detection of DA in body fluids.
The Effect of Lipopolysaccharides on the Electrostatic Properties of Gram‐Negative General Porins from Enterobacteriaceae
Authors: Ceccarelli Matteo , Milenkovic Stefan , Bodrenko Igor V. 
Published: April 2024

AbstractWe investigated, by using all‐atom molecular dynamics simulations, the effect of the outer membrane of Gram‐negative bacteria, composed in the outer leaflet by polar/charged lipopolysaccharides (LPS), on the electrostatic properties of general porins from the Enterobacteriaceae family. General porins constitute the main path for the facilitated diffusion of polar antibiotics through the outer membrane. As model system we selected OmpK36 from Klebsiella pneumoniae, the ortholog of OmpC from Escherichia coli. This species presents high variability of amino acid composition of porins, with the effect to increase its resistance to the penetration of antibiotics. The various properties we analyzed seem to indicate that LPS acts as an independent layer without affecting the internal electrostatic properties of OmpK36. The only apparent effect on the microsecond time scale we sampled is the appearance of calcium ions, when present at moderate concentration in solution, inside the pore. However, we noticed increased fluctuations of the polarization density and only minor changes on its average value.
Hierarchical Ni3V2O8@N‐Doped Carbon Hollow Double‐Shell Microspheres for High‐Performance Lithium‐Ion Storage
Authors: Zhao Yu , Li Xiaobin , Li Ning , Zhang Dongqiang , Ma Haowen , Zhan Xuecheng , Zhao Shiling 
Published: April 2024

AbstractTransition metal oxides (TMOs) are highly dense in energy and considered as promising anode materials for a new generation of alkaline ion batteries. However, their electrode structure is disrupted due to significant volume changes during charging and discharging, resulting in the short cycle life of batteries. In this paper, the hierarchical Ni3V2O8@N‐doped carbon (Ni3V2O8@NC) hollow double‐shell microspheres were prepared and used as electrode materials for lithium‐ion batteries (LIBs). The utilization efficiency and ion transfer rate of Ni3V2O8 were improved by the hollow microsphere structure formed through nanoparticle self‐assembly. Furthermore, the uniform N‐doped carbon layer not only enhanced the structural stability of Ni3V2O8, but also improved the overall electrical conductivity of the composite. The Ni3V2O8@NC electrode has an initial discharge capacity of up to 1167.3 mAh g−1 at a current density of 0.3 A g−1, a reversible capacity of up to 726.5 mAh g−1 after 200 cycles, and still has a capacity of 567.6 mAh g−1 after 500 cycles at a current density of 1 A g−1, indicating that the material has good cycle stability and high‐rate capability. This work presents new findings on the design and fabrication of complex porous double‐shell nanostructures.
An optimized meta‐heuristic clustering‐based routing scheme for secured wireless sensor networks
Authors: Kiran Kumar G , K Prashanth S , Padmalatha E , Venkata Krishna Reddy M , Rama Devi N , Abualigah Laith , Chithaluru Premkumar , Kumar Manoj 
Published: April 2024

SummaryPrivacy and security present significant challenges in wireless sensor networks (WSNs). In order to enhance security, the sensor network is equipped with high throughput. While the importance of both source node (SN) and base station (BS) location privacy and security is acknowledged, recent research has predominantly focused on location privacy. Addressing this gap, the geometric zigzag bidirectional tree effectively tackles privacy and security threats at both the SN and BS locations. Future iterations of WSN are anticipated to integrate additional functionalities to meet diverse requirements in real‐world applications. The absence of robust security constraints leads to an unpredictable sensor network setup. This article aims to reduce energy consumption (EC) while simultaneously enhancing network security and connectivity. To address security challenges in WSN, we propose an optimized meta‐heuristic clustering‐based privacy key‐agreement routing technique. In the suggested system, a gateway‐based network is constructed to devise a key arrangement protocol that promotes privacy during communication. The proposed routing strategy involves forming clusters of sensor nodes (
), facilitating the efficient selection of cluster heads (CHs) that prioritize nodes with the least modification. This effectively addresses the EC problem. A comprehensive performance evaluation is conducted, considering improvements in energy efficiency, packet delivery ratio (PDR), throughput, end‐to‐end delay (
delay), and EC.
Patterns of avian tree usage in the primeval temperate forests of Białowieża National Park
Authors: Karpińska Oliwia , Kamionka‐Kanclerska Katarzyna , Czortek Patryk , Dyderski Marcin K. , Czeszczewik Dorota 
Published: April 2024

AbstractSpecies distribution and resource utilization are a fundamental aspect of ecology. By analyzing the tree space usage by birds and determining the species composition of birds across different parts of trees, our study could shed light on the mechanisms shaping co‐occurrence patterns in bird communities. Therefore, our study aimed to determine the species composition of birds across different parts of trees. We investigated whether species richness differs between positions on a tree and how these positions influence the probability of occurrence of the 10 most frequently observed bird species. To achieve this, we observed birds within permanent plots in Białowieża National Park (BNP) and analyzed the distribution patterns of birds within six vertical and three horizontal sectors of trees. The compositional dissimilarity between tree sectors was assessed using detrended correspondence analysis. We employed generalized linear mixed‐effects models to examine differences in species richness. The majority of the BNP bird community was associated with the branches, while other birds occupied the tree crown trunks and the understory trunks. Species richness was the highest on branches in the crown part of trees, followed by lower species richness on trunks associated with crowns, and the lowest richness was observed on branches and trunks in the understory. These results indicate that branches in the middle and lower parts of the crown serve as avian diversity hotspots on trees, likely due to the abundance of various food sources. The differing patterns of tree usage by specific bird species may suggest the avoidance of interspecific competition for resources. The study results of tree usage by bird species obtained in the primeval forest provides a reference point for studies conducted in human‐altered woods.
Short‐wavelength‐sensitive 1 (SWS1) opsin gene duplications and parallel visual pigment tuning support ultraviolet communication in damselfishes (Pomacentridae)
Authors: Stieb Sara M. , Cortesi Fabio , Mitchell Laurie , Jardim de Queiroz Luiz , Marshall N. Justin , Seehausen Ole 
Published: April 2024

AbstractDamselfishes (Pomacentridae) are one of the most behaviourally diverse, colourful and species‐rich reef fish families. One remarkable characteristic of damselfishes is their communication in ultraviolet (UV) light. Not only are they sensitive to UV, they are also prone to have UV‐reflective colours and patterns enabling social signalling. Using more than 50 species, we aimed to uncover the evolutionary history of UV colour and UV vision in damselfishes. All damselfishes had UV‐transmitting lenses, expressed the UV‐sensitive SWS1 opsin gene, and most displayed UV‐reflective patterns and colours. We find evidence for several tuning events across the radiation, and while SWS1 gene duplications are generally very rare among teleosts, our phylogenetic reconstructions uncovered two independent duplication events: one close to the base of the most species‐rich clade in the subfamily Pomacentrinae, and one in a single Chromis species. Using amino acid comparisons, we found that known spectral tuning sites were altered several times in parallel across the damselfish radiation (through sequence change and duplication followed by sequence change), causing repeated shifts in peak spectral absorbance of around 10 nm. Pomacentrinae damselfishes expressed either one or both copies of SWS1, likely to further finetune UV‐signal detection and differentiation. This highly advanced and modified UV vision among damselfishes, in particular the duplication of SWS1 among Pomacentrinae, might be seen as a key evolutionary innovation that facilitated the evolution of the exuberant variety of UV‐reflectance traits and the diversification of this coral reef fish lineage.
Surviving at the highest and coldest: Nutritional and chemical components of fallback foods for Yunnan snub‐nosed monkeys
Authors: Pan Hao , Hou Rong , Zhang He , Li Yanpeng , Huang Zhipang , Cui Liangwei , Xiao Wen 
Published: April 2024

AbstractFallback foods (FBF), categorized into staple and filler types, are suboptimal food sources chosen by animals in response to a scarcity of preferred food items during specific periods. Using lichens as FBF by Yunnan snub‐nosed monkeys (Rhinopithecus bieti) represents a distinctive ecological adaptation and evolutionary development within nonhuman primates. This study delves into the annual dietary choices of the species to address issues, elucidate the nutritional value, and understand the ecological significance of lichens for this primate species, which resides at the highest altitudes and experiences the coldest weather among global primates. The findings reveal that the lichens consumed by the monkeys serve as the staple FBF, with Bryoria spp. and Usnea longissima being the primary dietary species. The former is the preferred choice, providing higher digestible fiber (neutral detergent fiber) levels but lower tannin, fat, ADF, and energy levels. During the dry season, lichens dominate as the monkeys' primary food and nutritional resources. In the wet season, they act as a fundamental food selection rather than an ideal dietary choice, substituting nutrients from fruits, seeds, and leaves. Compared to other Asian colobine counterparts, this species exhibits the highest lichen consumption but the lowest proportions of leaves, flowers, and seeds. This study provides valuable evidence and information for developing or amending conservation strategies and guidelines for the dietary management of captive breeding of monkeys, one of the world's critically endangered primate species.
Larval swimming in the sea anemone Nematostella vectensis is sensitive to a broad light spectrum and exhibits a wavelength‐dependent behavioral switch
Authors: Lilly Emma , Muscala Meghan , Sharkey Camilla R. , McCulloch Kyle J. 
Published: April 2024

AbstractIn nearly all animals, light‐sensing mediated by opsin visual pigments is important for survival and reproduction. Eyeless light‐sensing systems, though vital for many animals, have received relatively less attention than forms with charismatic or complex eyes. Despite no single light‐sensing organ, the sea anemone Nematostella vectensis has 29 opsin genes and multiple light‐mediated behaviors throughout development and reproduction, suggesting a deceptively complex light‐sensing system. To characterize one aspect of this light‐sensing system, we analyzed larval swimming behavior at high wavelength resolution across the ultraviolet and visual spectrum. N. vectensis larvae respond to light at least from 315 to 650 nm, which is a broad sensitivity range even compared to many animals with complex eyes. Planktonic swimming is induced by ultraviolet (UV) and violet wavelengths until 420 nm. Between 420 and 430 nm a behavioral switch occurs where at wavelengths longer than 430 nm, larvae respond to light by swimming down. Swimming down toward the substrate is distinct from light avoidance, as animals do not exhibit positive or negative phototaxis at any wavelength tested. At wavelengths longer than 575 nm, animals in the water column take increasingly longer to respond and this behavior is more variable until 650 nm where larval response is no different from the dark, suggesting these longer wavelengths lie outside of their sensitivity range. Larval swimming is the only motile stage in the life history of N. vectensis, and increased planktonic swimming could lead to greater dispersal range in potentially damaging shallow environments with short‐wavelength light exposure. Longer wavelength environments may indicate more suitable substrates for metamorphosis into the polyp stage, where the individual will remain for the rest of its life. Future work will test whether this robust behavior is mediated by multiple opsins.
Enhanced fingerprint pattern classification: Integrating attention modules with lightweight deep learning models
Authors: Mukoya Esther , Rimiru Richard , Kimwele Michael 
Published: April 2024

AbstractLarge fingerprint databases can make the automated search process tedious and time‐consuming. Fingerprint pattern classification is a significant step in the identification system's complexity in terms of time and speed. Although several fingerprint algorithms have been developed for classification tasks, further improvements in performance and efficiency are still required. Most of the fingerprint algorithms use deep learning techniques. However, some deep learning techniques can be resource‐intensive and computationally expensive, while others can disregard the spatial relationships between the features used in classifying fingerprint patterns. This study proposes using lightweight deep learning models (i.e., MobileNet and EfficientNet‐B0) integrated with attention modules to classify fingerprint patterns. The two lightweight models are modified, yielding MobileNet+ and EfficientNet‐B0+ models. The lightweight deep learning models can help achieve optimal performance and reduce computational complexity. The attention modules focus on distinctive features for classification. Our proposed approach integrates four attention modules for fingerprint pattern classification into two lightweight deep learning models, that is, MobileNet+ and EfficientNet‐B0+. To evaluate our approach, we use two publicly available fingerprint datasets, that is, the NIST special database 301 dataset and the LivDet dataset. The evaluation results show that the EfficientNet‐B0+ model achieves the highest classification accuracy of 97% with only 854,086 training parameters. As a conclusion, we consider the training parameters small enough for the EfficientNet‐B0+ model to be deployed on low‐resource devices.
Inferring channel incision in gravel‐bed rivers: Integrating LiDAR data, historical aerial photographs and drone‐based SfM topo‐bathymetry
Authors: Rusnák Miloš , Kaňuk Ján , Kidová Anna , Lehotský Milan , Piégay Hervé , Sládek Ján , Michaleje Lukáš 
Published: April 2024

AbstractChannel incision is an evident trend for river evolution in many European rivers and notably the Western Carpathians, whose former braided and multichannel wandering river system is transforming into a single‐thread channel, but it is often difficult to separate drivers and determine if incision is finished or is still ongoing. To overpass these research gaps, this paper presents an innovative approach to assess the multidecadal incision of the Belá River in the Western Carpathians since 1949 by LiDAR‐based analyses of floodplain surfaces above the river channel dated from historical aerial images. Detailed analyses of ongoing incision were also calculated based on DEM of differences (DoD) using Structure‐from‐Motion (SfM) photogrammetry‐derived topo‐bathymetric models. The study applied the BACI (Before‐After‐Control‐Impact) approach that compared pre‐state (Before), post‐state (After) and reach (Control) that is not affected by potential external effects with degraded (impacted) reach to be able to distinguish the driver effects. Floodplain channel surface analyses indicate the maximum incision up to 4 m and incision rate of 5.7 cm/year that occurred in the most degraded reach. Moreover, cross‐section profiles point to accelerated incision of 24.5 cm/year in the last 10 years (2011–2021) by the propagation of incision upstream. Overall, the net changes from the UAV survey pointed to 22 759 m3 of gravel sediments, constituting outwash from the 1.6 km long channel system (2015–2022) by incision, whereas analyses of historical channel surfaces estimated erosion of 573 303 m3 from impacted reaches between 1949 and 2020. Incision evidence is only observed in the downstream part below the control section due to local drivers (channel regulation, comprising embankment and gravel mining that activated a backward erosion of the system with knickpoint migration upstream). This analysis shows the benefits of combining different sources of data to separate long‐term and ongoing channel responses and the BACI‐approach to better target cause–effect relationships in space and time.
Unraveling the longitudinal relationships between connectedness to nature, depressive symptoms, and learning burnout in adolescents
Authors: Zhang Rentao , Chen Hui , Liu Li , Wang Fuming , Yang Zhihui 
Published: April 2024

AbstractIntroductionFollowing the conservation of resource theory and natural stress reduction theory, the current study investigated mediated pathways, reverse mediated pathways, and reciprocal pathways between connectedness to nature, depressive symptoms, and adolescent learning burnout via a half‐longitudinal analysis, and discussed gender differences in the three models.MethodsTwo waves of data were collected in December 2022 (T1) and June 2023 (T2) for this study. The sample consisted of 1092 Chinese adolescents (52.20% girls, Mage = 13.03, SD = 1.43). Semi‐longitudinal analyses were conducted to examine the relationship between connectedness to nature, depressive symptoms, and adolescent academic burnout.ResultsThe results indicated that connectedness to nature can serve as a positive resource to alleviate the levels of depressive symptoms among adolescents and thereby decrease learning burnout. However, the protective effect of connectedness to nature was smaller, and the decreasing effect of learning burnout on connectedness to nature was stronger than the alleviating effect of connectedness to nature on learning burnout. Additionally, the study found that depressive symptoms and academic burnout have a mutually reinforcing effect over time and that the effects of this interaction are more pronounced in females.ConclusionsThe present study emphasizes the protective role of nature connectedness and the detrimental effects of learning burnout in adolescents.