bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spectral‐Selective and Adjustable Patterned Polydimethylsiloxane/MXene/Nanoporous Polytetrafluoroethylene Metafabric for Dynamic Infrared Camouflage and Thermal Regulation
Authors: Li Bai‐Xue , Luo Zhuo , Sun Hao , Quan Qiuyan , Zhou Shuai , Yang Wei‐Guang , Yu Zhong‐Zhen , Yang Dongzhi 
Published: July 2024

AbstractMost low infrared emissivity coatings for anti‐infrared reconnaissance are merely suitable for targets warmer than their surroundings, and their flexibility and wearability are unsatisfactory for dynamic stealth applications. Herein, a spectral‐selective and adjustable patterned polydimethylsiloxane/MXene/nanoporous polytetrafluoroethylene metafabric with an asymmetric structure is designed, which achieves spectral selectivity of reflection/emission in mid‐infrared wavebands and synchronous reflection/absorption of solar light, integrating “shielded infrared stealth” and “compensatory thermal camouflage” in temperature‐change scenarios. By synergizing the low infrared emissivity of MXene and the effective heat‐transfer suppression of the patterned polydimethylsiloxane, the metafabric obtains an infrared emissivity of as low as ≈28% and minimizes the radiative temperature difference between a target of 36 °C and its low‐temperature surroundings even to 2.5 °C. Conversely, the metafabric adaptively unitizes its surface infrared signature with its high‐temperature background via the thermal energy compensation supplied by the solar‐thermal/electrothermal conversion of MXene and the powerful radiation emission of the outer polydimethylsiloxane. Besides, the metafabric creates a comfortable skin‐interface microclimate by the high solar‐light reflection of the nanoporous polytetrafluoroethylene and exhibits satisfactory electromagnetic interference shielding performances, mechanical flexibility, self‐cleaning, and antioxidation. This work provides a new strategy for designing multifunctional thermal camouflage materials for counter‐reconnaissance in changeable surroundings.
Nanometer Control of Ruddlesden‐Popper Interlayers by Thermal Evaporation for Efficient Perovskite Photovoltaics
Authors: Datta Kunal , Kim Sanggyun , Li Ruipeng , LaFollette Diana K. , Yang Jingwei , Perini Carlo A. R. , Correa‐Baena Juan‐Pablo 
Published: July 2024

AbstractSolution‐processed Ruddlesden‐Popper (RP) interlayers in lead halide perovskite solar cells (PSCs) present processing challenges due to fast film formation and uncontrolled growth of phases and layer thickness at interfaces. In this work, an alternative, solvent‐free, thermal co‐evaporation process is developed to deposit RP interlayers. The method provides precise control on interlayer thickness and enables understanding its role on charge‐carrier extraction. Studying RP film growth reveals the development of heterointerfaces when deposited on three‐dimensional (3D) perovskite layers. This allows a large thickness window with an optimum between 20 nm and 40 nm to improve the optoelectronic properties of the underlying 3D perovskite. Solar cells using evaporated interlayers achieve power conversion efficiency of 21.6%, compared to 19.6% for untreated devices, driven by improvements in the open‐circuit voltage and fill factor. This work sheds light on the importance of phase and thickness control of passivation layers, which ultimately determine the solar cell performance in state‐of‐the‐art PSCs.
Reduced Graphene Oxide Wrapped Polypyrrole on Carbon Cloth for High‐Performance Flexible Solid‐State Supercapacitors
Authors: Chen Ming , Yu Xianghua , Huang Huabo , Ji Jiayou , Li Liang 
Published: July 2024

AbstractThe nature of rigidity and low energy density of polypyrrole (PPy)‐based electrodes limits their wide application in flexible energy storage devices. In this study, reduced graphene oxide (rGO) wrapped polypyrrole (PPy)/oxidized carbon cloth (OCC) (rGO@PPy/OCC) is prepared by the polymerization of pyrrole using MnO2 as the oxidant on the surface of OCC followed by the adsorption and reduction of graphene oxide (GO). The prepared rGO@PPy/OCC electrode exhibits a high gravimetric specific capacitance of 547 F g−1 at a current density of 0.5 A g−1 and a high area specific capacitance of 1641 mF cm−2 at a current density of 1.5 mA cm−2. It nearly maintains the initial capacitance after 8000 cycles at a high scan rate of 200 mV s−1 and at a large current density of 10 A g−1. Moreover, the flexible rGO@PPy/OCC electrodes are used to construct flexible solid‐state supercapacitors (FSSC). The FSSC based on rGO@PPy/OCC exhibits a high energy density (33.89 Wh kg−1 and 101.81 µWh cm−2) and a capacitance retention of 95.10% after 1000 bending cycles, demonstrating the excellent cycling stability and flexibility. Therefore, it is potential for rGO@PPy/OCC as a flexible electrode to fabricate high‐performance FSSC.
Ultra‐Stable and Bright Pure‐Red Perovskite Nanocrystals for Backlit Displays
Authors: Zhang Yuze , Ren Zhenwei , Shi Hengfei , Zheng Zhiyong , Zhou Xin , Luo Chengzhao , Ji Huifeng , Chen Hua , Wang Yanyan , Chen Yu 
Published: July 2024

AbstractMetal halide perovskite nanocrystals (NCs) have emerged as an alternative to conventional phosphors for wide color gamut displays. However, the issues of poor stability and low emission efficiency of pure‐red CsPbBrxI3‐x NCs set an obstacle to their practical application. Herein, the synergistic effect of Mn doping and mesoporous SiO2 sealing is reported through in situ formation of Mn‐doped NCs into mesoporous SiO2 nanospheres (MnNCs@SiO2) to structurally and spatially stabilize the perovskite NCs for bright and stable pure‐red emitter. The large bonding energy of Mn‐halogen effectively suppresses the halide vacancy defects, prompting the highest photoluminescence quantum yield (PLQY) up to 84% (634 nm) among the pure‐red composite analogs. More importantly, the nanocrystal structure stability is fundamentally improved by the enhanced formation energy with Mn doping, together with the spatial isolation by SiO2 nanospheres. The MnNCs@SiO2 films exhibit impressive stabilities against high‐temperature heating, thermal cycle test, UV irradiation, water, and acid/alkali erosion, representing one of the most stable pure‐red perovskite emitters. By integrating fabricated all‐perovskite CsPbX3 single color conversion film into the liquid crystal display (LCD) modules, a wide color gamut of 128% of NTSC is achieved, enabling an excellent color rendition for high‐saturation object colors toward practical applications.
Transforming Renal Diagnosis: Graphene‐Enhanced Lab‐On‐a‐Chip for Multiplexed Kidney Biomarker Detection in Capillary Blood
Authors: Diforti Joaquin F. , Cunningham Thomas , Zegalo Zaira , Piccinini Esteban , Marmisollé Waldemar A. , Piccinini Jose M. , Azzaroni Omar 
Published: July 2024

AbstractChronic kidney disease (CKD) is a significant global health concern, impacting over 10% of the world population. Despite advances in home‐based treatments, CKD diagnosis and monitoring remain centralized in large laboratories. This work reports on the development of a Graphene‐based Lab‐On‐a‐Chip (G‐LOC) for the self‐testing of multiple renal function biomarkers in capillary blood. G‐LOC integrates bioelectronic sensors with a 3D‐printed microfluidic system that enables the multiplex quantification of urea, potassium, sodium, and chloride, from one drop of blood. The potentials of three graphene sensors modified with ion‐selective membranes and enzymes are simultaneously measured. The analytical performance of the test is evaluated in terms of linearity, accuracy, and coefficient of variability (CV). Accuracy values higher than 98.7%, and CV values lower than 10.8% are obtained for all the biomarkers. Correlation and Bland–Altman plots show good correlation (slopes in the range of 0.94–1.15) and high agreement of G‐LOC with a reference method. It is also demonstrated that the test can correctly differentiate biomarker levels normally obtained for healthy people, early‐stage CKD, and end‐stage CKD. Finally, user experience is studied with a group of untrained volunteers who highlight the simple usability of the test and its suitability for at‐home diagnostics.
Advancements in Asymmetric Supercapacitors: From Historical Milestones to Challenges and Future Directions
Authors: Sadavar Shrikant Vaiju , Lee Seul‐Yi , Park Soo‐Jin 
Published: July 2024

AbstractNumerous challenges, like the uninterrupted supply of electricity, stable and reliable power, and energy storage during non‐operational hours, arise across various industries due to the absence of advanced energy storage technologies. With the continual technological advancements in portable electronics, green energy, and transportation, there are inherent limitations in their innovative production. Thus, ongoing research is focused on pursuing sustainable energy storage technologies. An emerging solution lies in the development of asymmetric supercapacitors (ASCs), which offer the potential to extend their operational voltage limit beyond the thermodynamic breakdown voltage range of electrolytes. This is achieved by employing two distinct electrode materials, presenting an effective solution to the energy storage limitations faced by ASCs. The current review concentrates on the progression of working materials to develop authentic pseudocapacitive energy storage systems (ESS). Also, evaluates their ability to exceed energy storage constraints. It provides insights into fundamental energy storage mechanisms, performance evaluation methodologies, and recent advancements in electrode material strategies. The review approaches developing high‐performance electrode materials and achieving efficient ASC types. It delves into critical aspects for enhancing the energy density of ASCs, presenting debates and prospects, thereby offering a comprehensive understanding and design principles for next‐generation ASCs in diverse applications.
Tailoring Dzyaloshinskii–Moriya Interaction and Spin‐Hall Topological Hall Effect in Insulating Magnetic Oxides by Interface Engineering
Authors: Xu Zedong , Zhu Yuanmin , Wang Yuming , Li Xiaowen , Liu Qi , Chen Kai , Wang Junling , Jiang Yong , Chen Lang 
Published: July 2024

AbstractChiral spin textures, as exotic phases in magnetic materials, hold immense promise for revolutionizing logic, and memory applications. Recently, chiral spin textures have been observed in centrosymmetric magnetic insulators (FMI), due to an interfacial Dzyaloshinskii–Moriya interaction (iDMI). However, the source and origin of this iDMI remain enigmatic in magnetic insulator systems. Here, the source and origin of the iDMI in Pt/Y3Fe5O12 (YIG)/substrate structures are deeply delved by examining the spin‐Hall topological Hall effect (SH‐THE), an indication of chiral spin textures formed due to an iDMI. Through carefully modifying the interfacial chemical composition of Pt/YIG/substrate with a nonmagnetic Al3+ doping, the obvious dependence of SH‐THE on the interfacial chemical composition for both the heavy metal (HM)/FMI and FMI/substrate interfaces is observed. The results reveal that both interfaces contribute to the strength of the iDMI, and the iDMI arises due to strong spin−orbit coupling and inversion symmetry breaking at both interfaces in HM/FMI/substrate. Importantly, it is shown that nonmagnetic substitution and interface engineering can significantly tune the SH‐THE and iDMI in ferrimagnetic iron garnets. The approach offers a viable route to tailor the iDMI and associated chiral spin textures in low‐damping insulating magnetic oxides, thus advancing the field of spintronics.
Machine learning models for classifying coffee fruits detachment force
Authors: Meneses Mariana D. , dos Santos Carreira Vinicius , de Almeida Moreira Bruno Rafael , do Vale Welington Gonzaga , de Souza Rolim Glauco , da Silva Rouverson Pereira 
Published: July 2024

AbstractThe maturation process of coffee (Coffea arabica) trees exhibits inherent variability, producing fruits at various physiological maturity stages. This variability affects the resistance between the fruit and its peduncle, posing a challenge in mechanized harvesting: non‐selective harvesting. A precise classification of coffee fruit detachment force is essential to address this challenge, ensuring coffee's quality and producer's profitability. This study assesses the efficacy of machine learning (ML) models in determining the detachment force across various coffee cultivars under drip‐irrigated and rainfed conditions. The dataset included detachment force measurements from 24 cultivars—13 drip‐irrigated and 11 rainfed—yielding 1152 data points. Variance analysis compared irrigation methods and three maturity stages: green, cherry, and dry. Detachment force was categorized into four classes based on the dataset's quartile distribution. The ML models utilized were random forest (RF), support vector machine (SVM), K‐nearest neighbors, and artificial neural networks. The SVM model was notably effective in classifying detachment force for rainfed cultivars, with a Matthews correlation coefficient (MCC) of 0.78. In contrast, the RF model was particularly adept for drip‐irrigated cultivars, with an MCC of 0.75. The highest classification accuracies were recorded for the extreme force classes I and IV, with precision values of 0.93 and 0.8, respectively, while classes II and III had lower precision at 0.57 and 0.69. Implementing these ML models for detachment force classification has been beneficial, improving decision‐making in mechanized harvesting systems.
Impacts of geopolitics and policy on Latin American biodiversity and water resources
Authors: Dumortier Jerome , Elobeid Amani , Carriquiry Miguel 
Published: July 2024

AbstractLatin America is a major agricultural producer with important natural resources. Efforts have been made to protect sensitive areas but are hindered by agricultural trade disruptions outside the control of individual countries due to globally integrated crop markets. This analysis assesses the effects of two trade shocks, that is, the war in Ukraine and vehicle decarbonization in the United States (US), on biodiversity and water resources in Latin America. Results show that an increase in maize and wheat exports from the region triggered by the war in Ukraine negatively affects biodiversity in Brazil and leads to cropland expansion into drought‐prone areas in Argentina and Chile. For the case of reduced crop exports from Latin America due to US vehicle decarbonization and the corresponding shift away from US maize ethanol, the pressure on arable land in areas of high biodiversity and water stress is eased. As opposed to agricultural carbon emissions, which have global impacts, biodiversity and water issues have a strong local and regional significance. Regulatory frameworks aiming to protect these regions should be forward looking to detect and shield vulnerable areas from future threats. Other changes affecting global agriculture and trade, for example, sustainable aviation fuels in the US or the European Farm‐to‐Fork policy, need to be anticipated for effective policies in Latin America [EconLit Citations: Q13, Q25, Q34, Q56].
Cardiometabolic multimorbidity, peripheral biomarkers, and dementia in rural older adults: The MIND‐China study
Authors: Liu Cuicui , Liu Rui , Tian Na , Fa Wenxin , Liu Keke , Wang Nan , Zhu Min , Liang Xiaoyan , Ma Yixun , Ren Yifei , Wang Yongxiang , Cong Lin , Tang Shi , Vetrano Davide Liborio , Ngandu Tiia , Kivipelto Miia , Hou Tingting , Du Yifeng , Qiu Chengxuan 
Published: July 2024

AbstractINTRODUCTIONEvidence has emerged that cardiometabolic multimorbidity (CMM) is associated with dementia, but the underlying mechanisms are poorly understood.METHODSThis population‐based study included 5704 older adults. Of these, data were available in 1439 persons for plasma amyloid‐β (Aβ), total tau, and neurofilament light chain (NfL) and in 1809 persons for serum cytokines. We defined CMM following two common definitions used in previous studies. Data were analyzed using general linear, logistic, and mediation models.RESULTSThe presence of CMM was significantly associated with an increased likelihood of dementia, Alzheimer's disease (AD), and vascular dementia (VaD) (p < 0.05). CMM was significantly associated with increased plasma Aβ40, Aβ42, and NfL, whereas CMM that included visceral obesity was associated with increased serum cytokines. The mediation analysis suggested that plasma NfL significantly mediated the association of CMM with AD.DISCUSSIONCMM is associated with dementia, AD, and VaD in older adults. The neurodegenerative pathway is involved in the association of CMM with AD.Highlights
The presence of CMM was associated with increased likelihoods of dementia, AD, and VaD in older adults.
CMM was associated with increased AD‐related plasma biomarkers and serum inflammatory cytokines.
Neurodegenerative pathway was partly involved in the association of CMM with AD.
Dilute Electrolytes with Fluorine‐Free Ether Solvents for 4.5 V Lithium Metal Batteries
Authors: Yang Yusi , Wang Xiaofang , Zhu Jiacheng , Tan Lulu , Li Nan , Chen Yifan , Wang Linlin , Liu Ziqiang , Yao Xiayin , Wang Xuefeng , Ji Xiao , Zhu Yujie 
Published: July 2024

AbstractThe limited oxidation stability of ether solvents has posed significant challenges for their applications in high‐voltage lithium metal batteries (LMBs). To tackle this issue, the prevailing strategy either adopts a high concentration of fluorinated salts or relies on highly fluorinated solvents, which will significantly increase the manufacturing cost and create severe environmental hazards. Herein, an alternative and sustainable salt engineering approach is proposed to enable the utilization of dilute electrolytes consisting of fluorine (F)‐free ethers in high‐voltage LMBs. The proposed 0.8 M electrolyte supports stable lithium plating‐stripping with a high Coulombic efficiency of 99.47 % and effectively mitigates the metal dissolution, phase transition, and gas release issues of the LiNi0.8Co0.1Mn0.1O2 (NCM811) cathode upon charging to high voltages. Consequently, the 4.5 V high‐loading Li||NCM 811 cell shows a capacity retention of 75.2 % after 300 cycles. Multimodal experimental characterizations coupled with theoretical investigations demonstrate that the boron‐containing salt plays a pivotal role in forming the passivation layers on both anode and cathode. The present simple and cost‐effective electrolyte design strategy offers a promising and alternative avenue for using commercially mature, environmentally benign, and low‐cost F‐free ethers in high‐voltage LMBs.
Architecture as cause: Outlines for a psychoanalytic approach to atmosphere via film noir
Authors: Uebel Michael 
Published: July 2024

AbstractThis paper offers a series of propositions concerning how our affective sensibilities are shaped and unshaped by architectural space. We will examine the connections between our pre‐reflective sense of atmospheres and other kinds of apprehension, including the psychoanalytic. The potentiality of spaces to influence feelings is what is meant by atmosphere. Our conceptual framework, then, will center on the question of how felt space can give rise to affectivity, thought and, more controversially, action. References to film noir (especially Fritz Lang's psychoanalytic thriller Secret beyond the Door [1948]), the paradigmatic genre of atmosphere, will frame the contention that our disposition to the world comes first, before any cognitive assessment, and, as such, possesses the force to inspire affective states. It will be suggested that the ways we test and evaluate atmospheres through the imagination are potentially the inspiration for violence, an idea echoed by architects such Bernard Tschumi and psychoanalytic thinkers such as Marcuse. The goal here is to present multiple entry points for a rich discussion concerning if, or the extent to which, notions of atmosphere admit psychoanalytic interrogation, and how or whether analytic assumptions shift as a result of such an investigation.
Optimizing group work strategies in virtual dissection
Authors: Evans Lily , Singer Lauren , Zahra Daniel , Agbeja Ifeoluwa , Moyes Siobhan M. 
Published: July 2024

AbstractDue to its haptic and interactive nature, virtual anatomy provides an opportunity for small‐group learning, enabling students to develop their group work skills before they graduate. However, there is currently little practical guidance supported by pedagogic principles detailing how to incorporate it into curricula. Anatomy educators at the University of Plymouth conducted action research aiming to capture students' overall perceptions of the virtual anatomy platform Anatomage. Questioning the benefits and challenges students face while interacting with Anatomage prompted the creation of evidence‐based interventions to be later evaluated. Although a plethora of themes were identified, this report specifically examines those relating to group work. Thematic analysis of initial focus group data found group size and group dynamics impacted students' experience with the platform. Following the implementation of interventions to resolve these issues, a questionnaire and second series of focus groups were conducted to determine whether they were successful. Additional subthemes found from these data included facilitation, social pressure, peer learning and working with friends. This study contributed to the improvement of small group learning and integration of virtual anatomy into curricula based on student and staff feedback. As such, these data support the development of effective group working skills which are fundamental for healthcare professionals and widely recognized by regulators such as the General Medical Council and Health and Care Professions Council. In this report, the authors provide practical advice informed by pedagogy and principles from management and psychology to provide a multidisciplinary perspective.
Beschleunigungssensoren zur Zustandsüberwachung von Ingenieurbauwerken unter Einfluss von Umweltfaktoren bei tiefen Frequenzen
Authors: Bartels Jan‐Hauke , Gündogdu Berk , Herrmann Ralf , Marx Steffen 
Published: July 2024

AbstractStructural Health Monitoring (SHM) wird zunehmend zur kontinuierlichen Zustandsbewertung von Ingenieurbauwerken eingesetzt. Wichtige Bewertungsparameter sind globale Systemeigenschaften, wie z. B. Eigenfrequenzen, zu deren Bestimmung Beschleunigungssensoren eingesetzt werden. Häufig werden sog. MEMS‐Sensoren (Micro Electro Mechanical Systems) verwendet, die jedoch ein hohes Rauschniveau aufweisen. Alternativ können rauschärmere IEPE‐Sensoren (Integrated Electronics Piezo Electric) eingesetzt werden, die auch bei geringster Strukturanregung Schwingungen zuverlässig erfassen. Ferner besteht das Problem, dass Änderungen der Eigenfrequenzen infolge Bauwerksschädigung schwer von Änderungen der Eigenfrequenzen infolge Umwelteinflüssen zu unterscheiden sind. Letztere verändern die Eigenschaften der Struktur und die des Messsystems. Um Umwelteinflüsse auf das Messsystem im Anwendungsgebiet Ingenieurbau zu untersuchen, wurden IEPE‐Beschleunigungsaufnehmer hinsichtlich ihres Übertragungsverhaltens im niederfrequenten Beschleunigungsbereich analysiert. Es zeigt sich, dass das Verhalten nicht nur frequenz‐, sondern auch temperaturabhängig ist, während die Luftfeuchte keinen Einfluss hat. Diese für das Bauwerk unbedenklichen Einflüsse müssen für eine robuste Zustandsüberwachung kompensiert werden. Für die Anwendung im Ingenieurbau werden IEPE‐Sensoren empfohlen, da sie ein hohes Signal‐zu‐Rausch‐Verhältnis aufweisen und niederfrequente Bauwerksschwingungen zuverlässig erfassen.