bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploratory immunogenicity outcomes of peanut oral immunotherapy: Findings from the PALISADE trial
Authors: Nilsson Caroline , Vereda Andrea , Borres Magnus P. , Andersson Mats , Södergren Eva , Rudengren Magnus , Smith Alex , Simon Reyna J. , Ryan Robert , Fernández‐Rivas Montserrat , Adelman Daniel , Vickery Brian P. 
Published: January 2024

AbstractBackgroundImmunoglobulin E (IgE) and immunoglobulin G4 (IgG4) to peanut and its components may influence the clinical reactivity to peanut. Allergen‐specific immunotherapy is known for modifying both IgE and IgG4. Peanut oral immunotherapy may influence these serological parameters.MethodsExploratory analyses of serological data from participants receiving peanut (Arachis hypogaea) allergen powder‐dnfp (PTAH) and placebo in the double‐blind, randomized, phase 3 PALISADE trial were conducted to evaluate potential relationships between peanut‐specific and peanut component–specific (Ara h 1, Ara h 2, Ara h 3, Ara h 6, Ara h 8, and Ara h 9) IgE and IgG4 levels and clinical outcomes.ResultsA total of 269 participants (PTAH, n = 202; placebo, n = 67) were analyzed. No relationship was observed between specific IgE and IgG4 levels at screening and maximum tolerated peanut protein dose during screening or response status during exit double‐blind placebo‐controlled food challenge (DBPCFC). In PTAH‐treated participants, no relationship was observed between IgE and IgG4 levels at screening and maximum symptom severity during exit DBPCFC. Postscreening ratios (ie, postscreening/screening) in the PTAH group were significant at the end of updosing and exit visit for most components. Postscreening changes in specific IgE levels were more pronounced with PTAH versus placebo for most components.ConclusionsSpecific IgE and IgG4 levels at screening are not correlated with screening or exit DBPCFC results, and are not predictive of clinical response to PTAH. Peanut (Arachis hypogaea) allergen powder‐dnfp contains the relevant and immunodominant allergens, inducing immunological changes with the treatment.Clinical Trial RegistrationClinicalTrials.gov identifier: NCT02635776.
Sustainable Tailoring of Lignin Nanoparticles Assisted by Green Solvents
Authors: Almeida Fábio , Margarida Ana , Seixas Nalin , Pinto Ricardo J. B. , Silvestre Armando J. D. , Da Costa Lopes André M. 
Published: January 2024

AbstractThis work aimed at studying the self‐assembly of lignin macromolecules towards lignin nanoparticles (LNPs) with green solvents and shedding light on a tailor‐made production of LNPs through a meticulous study of different variables. The methodology (antisolvent to lignin solution – method A; or lignin solution to antisolvent – method B), the lignin solvent, the flow rate of solvent/antisolvent addition, the lignin solution loading and the washing step (centrifugation vs dialysis) were examined. Remarkably, method B enabled achieving desired LNPs (127.4–264.9 nm), while method A induced the formation of lignin microparticles (582.8–7820 nm). Among lignin solvents, ethanol allowed the preparation of LNPs with the lowest hydrodynamic diameter (method B=127.4 nm), while the largest particles (method A=7820 nm) were obtained with ethylene glycol. These latest particles were characterized as heterogeneous, irregular, and highly aggregated when compared for instance with γ‐valerolactone counterparts, which showed the most homogeneous (PDI=0.057–0.077) and spherical particles. Moreover, decreasing lignin solution loading enabled the reduction on LNP size and Zeta potential. Dialysed samples allowed the formation of LNPs with lower hydrodynamic size, reduced aggregation, and higher homogeneity. Furthermore, dialysis provided high stability to LNPs, avoiding particle coalescent phenomenon.
Recent Advances in Smart Windows Based on Photo‐Responsive Liquid Crystals Featuring Phase Transition
Authors: Meng Xianyu , Lin Siyang , Chen Shuo , Shen Xuanzhe , Guo Dekang , Guo Jinbao 
Published: January 2024

AbstractA smart window is an optical dimming device with intelligent functions that can control its relevant performances through external stimuli, achieving functions such as privacy protection and temperature regulation. Light is an ideal stimulus for regulating smart windows, which is noninvasive and allows self‐adaptable manipulation of materials. This review highlights recent significant achievements in smart windows constructed by photo‐responsive liquid crystals (LCs) systems that can undergo the transition between different phases. The smart windows based on photo‐responsive LCs are used in a plethora of areas, including privacy protection, absorption glass, building decoration, energy saving, and climate modulation applications. The review concludes with a brief perspective on some significant challenges and opportunities for the future development of photo‐responsive smart windows, which is crucial for expanding the applications of smart windows and improving their performances.
Board of directors and firm resilience from a social capital perspective
Authors: Hurtado José Manuel , Herrero Inés 
Published: January 2024

AbstractWhile a vast amount of literature demonstrates the importance of having a board of directors (BoD) for positive firm outcomes, our empirical study based on a wide sample of family firms suggests this is not always the case, and that its impact on firm resilience is contingent on family social capital (FSC). When FSC is high, family members focus on internal governance and frequently reduce the BoD to a symbolic role. Thus, a BoD represents a cost rather than a benefit. In contrast, a BoD is very effective when a firm is poor in FSC and the family firm most resembles a non‐family firm. Consequently, the question is not whether to have a BoD but in which case it can benefit the family firm. Our analysis concludes that family members' involvement in the BoD per se does not enhance a firms' resilience as they have other informal mechanisms that play a similar role. However, executive and independent directors as key board members lead us to conclude that, together with the FSC, the composition of the board affects family firm resilience.
Enhancement of photovoltaic array characteristics and global maximum power using Padovan transform‐based image encryption strategy
Authors: Naik Kanasottu Anil , Raj Rayappa David Amar , Babu Thanikanti Sudhakar , Aljafari Belqasem 
Published: January 2024

SummaryDuring shading, the mismatch between the panels in the photovoltaic (PV) array mitigates the global maximum power (GMP). Besides, the mismatch in the irradiation levels of distinct rows of the PV array instigates multiple power peaks (MPPs) in the array characteristics. Distinguishing the local and global peaks among MPPs for tracking the GMP is highly challenging for maximum power point tracking (MPPT) controllers. So, to mitigate the MPPs and enhance the GMP, array reconfiguration is preferred. Nevertheless, most existing reconfiguration techniques exhibit poor shade dispersal, distorted electrical characteristics, multiple MPPs, increased mismatch, scalability issues, etc. To overcome these challenges, this paper proposes a new Padovan transform‐based encryption strategy for array reconfiguration. The proposed method was evaluated for both symmetric and unsymmetrically sized arrays. Its performance has also been compared to that of 23 other strategies. The proposed reconfiguration strategy integrated with MPPT is validated experimentally using a prototype model. A nonparametric statistical hypothesis test with a p‐value of 0.05 has been used for a pairwise fair comparison study among the examined approaches. The proposed approach constantly outperforms the current methods because of its unique shade dispersion generated through intelligent reconfiguration offering the GMP improvement of 34.429%, 12.51%, 5.05%, and 37.40%, 22.93%, 16.51% for 9 × 9 and 4 × 8 PV arrays, respectively.
A comprehensive review of wireless power transfer systems: Focused study with fractional‐order elements
Authors: Ali Arshaque , Mehta Utkal 
Published: January 2024

AbstractWireless power transfer (WPT) refers to promising technology that allows energy transfer between devices without wires or cables. Although wireless power transfer systems have come a long way, they still have a long way to go before they become truly viable. An approach that has been offered to address these issues is the implementation of fractional‐order elements in WPT systems. Fractional‐order wireless power transfer systems have emerged as a promising solution to address some challenges in classical approaches. This review aims to provide a valuable resource for researchers and engineers interested in designing and optimizing WPT systems using fractional methods by summarizing the current knowledge on fractional‐based approaches in WPT. Furthermore, this article sheds light on the benefits, challenges, and prospects of integrating fractional elements into WPT strategies.
A real‐time energy management control strategy of hybrid energy system for a pure electric loader
Authors: Ma Yuchuan , Ye Min , Xu Xinxin , Wu Chenguang , Li Yan , Liu Honghai 
Published: January 2024

SummaryTo enhance the efficiency and prolong the battery life of hybrid energy systems equipped with battery and supercapacitor for a pure electric loader, this paper proposes a real‐time energy management strategy based on model predictive control (MPC). First, the working characteristics of the loader and the topology structure of the hybrid energy are analyzed. Second, considering the repetitive operation model of electric loaders, a neural network algorithm based on long short‐term memory is used to predict power and a dynamic programming algorithm is used as the rolling optimization solution for MPC strategy. Finally, the MPC is verified using the simulation in MATLAB/Simulink. The results indicate that compared with other strategies, the MPC strategy can improve hybrid energy efficiency and reduce the maximum battery current fluctuations. The proposed method demonstrates the feasibility and effectiveness of the hybrid energy system.
Multi‐objective optimization for optimal energy transporting path and energy distribution in electric vehicles energy internet
Authors: Ramasamy Gandhi , Vedi Agalya , Madasamy Muthuvinayagam 
Published: January 2024

SummaryEnergy internet permits the power to stream lithely for broadcast and it aids in transporting energy to each user using electric vehicles (EVs). The energy that EVs utilize is generated using certain sources. Still, considering poor weather, the power station averts the production of energy and needs to acquire power transmitted to another location. One resolution is to set stations that aid to save surfeit energies and minimize energy loss during transportation. This paper devises a new model for choosing charging stations to charge EVs. Energy is transferred from the energy source to the charge station via bus station through optimal path using Battle Royale Jaya Optimization (BRJO) routing with fitness attributes like distance to select the shortest path and energy. The prediction of energy is done with a deep recurrent neural network (DRNN) and the charge is distributed optimally to EVs by employing a proposed Competitive Swarm‐Battle Royale Jaya Optimization (CSBRJO) by utilizing multi‐parameters, like priority, distance, predicted energy, waiting time, and EV count needed for charging. The CSBRJO outperformed with the smallest distance of 6.935 km, energy consumption of 1.676 J, path length of 5.05 m, and waiting time of 4.645 sec.
Developing analytical models for the post‐detection SINR of TSVD‐based techniques with imperfect CSI
Authors: Eduru Supraja , Rangaswamy Nakkeeran 
Published: January 2024

SummaryIn massive multiple input multiple output (m‐MIMO) uplink, the performance gap between zero forcing (ZF) or direct pseudo‐inverse and minimum mean square error (MMSE) detection schemes increases with an increase in the load factor. To report this issue, truncated singular value decomposition (TSVD) is used in both ZF and direct pseudo‐inverse detection techniques using dynamic threshold. Moreover, the analytical models for the post‐detection signal‐to‐interference‐plus‐noise ratio (PDSINR) of TSVD‐based detection schemes are derived with imperfect channel state information (CSI), and subsequently, bit error rate (BER) is evaluated. Later, an optimum hard threshold for the TSVD‐based detection schemes is deduced from the empirical analysis. Further, the tightness of the analysis is verified through Monte Carlo trails. The simulation result shows that at lower values of average signal‐to‐noise ratio (SNR), TSVD‐based detection schemes with imperfect CSI offer comparable performance and low complexity when compared with the MMSE technique. However, the BER of TSVD‐based detection schemes decreases and gets saturated with an increase in the average SNR, whereas the BER of the MMSE detection scheme increases and approaches the BER of ZF or direct pseudo‐inverse detection schemes.
A systematic review of analytical methodologies capable of analysing phytocannabinoids in cosmetics
Authors: Desmedt Bart , Van Campenhout Peter , Deconinck Eric 
Published: January 2024

AbstractAs cannabidiol (CBD) is not considered to be a drug and because of its potential health claims, it is an interesting compound that is often found in cosmetics. However, the safety of CBD, as well as the presence of trace amounts of other phytocannabinoids, including the psychoactive substance ∆9‐tetrahydrocannabinol (THC), is still being debated. A robust analytical technique capable of analysing cosmetic products and determining their phytocannabinoid content will be crucial in assessing the safety of these products. This systematic review aims to highlight the current analytical tools that could be used to analyse phytocannabinoids in cosmetics. The ideal method would be able to analyse high levels of CBD in combination with trace levels of THC and their acids. The method should provide good recoveries and accuracies in a variety of matrices while providing information on up‐coming phytocannabinoids such as cannabichromene (CBC), cannabigerol (CBG) and cannabinol (CBN). The systematic review approach was based on the Preferred Reporting Items for Systematic review and Meta‐Analyses method. The research focused on studies published from January 2010 to December 2022 in PubMed and Scopus. A total of 15 datasets met the inclusion and exclusion criteria and were tabulated to allow easy comparison. Although some of the reviewed methods can handle multiple matrices and provide satisfactory recoveries, this review process did not identify an ideal method. The most suitable methods either could not quantify phytocannabinoid acids or were not sensitive enough to quantify trace levels of psychoactive phytocannabinoids.
Tree‐ and stand‐scale variability of xylem water stable isotope signatures in mature beech, oak and spruce
Authors: Bernhard Fabian , Floriancic Marius G. , Treydte Kerstin , Gessler Arthur , Kirchner James W. , Meusburger Katrin 
Published: January 2024

AbstractIn ecohydrology, water isotopologues are used to assess potential sources of root water uptake by comparing xylem water signatures with source water signatures. Such comparisons are affected by the variability and uncertainty of the isotope signatures of plant water and water sources. The tree‐scale and stand‐scale variabilities of the isotope signatures in stem xylem water are often unknown but are important for sampling design and uncertainty estimation in assessing the sources of tree water uptake. Here, we quantified tree‐scale and stand‐scale variabilities of xylem water isotope signatures in beech, oak and spruce trees in a mature forest on the Swiss plateau. For stem xylem water, sub‐daily replicates and replicates in different cardinal directions showed no systematic differences, but we found systematic differences with sampling height. The observed variability of isotope signatures at different heights along the stem suggests that water residence times within trees need to be considered, along with their effects on the isotope signatures in different compartments (stem, branches, leaves). Further, concerning the hydrogen signatures, we found height‐ and species‐specific offsets (SW‐excess δ2H). Stem xylem water's tree‐scale variability was similar in magnitude to its stand‐scale variability and smaller than the variabilities in branch xylem and bulk soil water around each tree. Xylem water from stem cores close to the ground, therefore, can give a more precise estimate of the isotopic signal of the most recent root water uptake and facilitate more accurate source water attribution.
Structural, stability and relaxation features of lanthanide‐complexes designed for multimodal imaging detection of enzyme activities
Authors: Laine Sophie , Jouclas Rémy , Bonnet Célia S. , Retailleau Pascal , Steinmetz Vincent , Pallier Agnès , Garda Zoltán , Tircsó Gyula , Durand Philippe , Tóth Éva 
Published: January 2024

AbstractLanthanide complexes of DO3A‐derivative ligands bearing a pyridine‐carbamate (L1) or pyridine‐amine (L2) arm have potential interest in the design of enzymatically activated imaging probes. Solid‐state X‐ray structures for CeL1 and YbL2 both demonstrate twisted square antiprismatic geometry, with the metal ion in a nine‐ or an eight‐coordinate environment, respectively. As assessed by pH‐potentiometry, in solution lanthanide ions form more stable complexes with the nonadentate L1 than with the octadentate L2 ligand (logKML=18.7–21.1 vs. 16.7–18.6, respectively), while stability constants are similar for L1 and L2 chelates of Mg2+, Ca2+, Zn2+ or Cu2+. The kinetic inertness of GdL1 is exceptionally high, with an estimated dissociation half‐life of ~108 h at pH 7.4, while LnL2 (Ln=Ce, Gd, Yb) complexes have 3–4 orders of magnitude faster dissociation, related to the presence of the protonatable, non‐coordinating amine function. The water exchange rate determined for the monohydrated GdL2 (kex298=1.3×106 s−1) shows a threefold decrease with respect to GdDOTA, as a consequence of a reduction in the negative charge and in the steric crowding around the water binding site, both important in dissociatively activated water exchange processes.
Exploration of metal‐free 2D electrocatalysts toward the oxygen electroreduction
Authors: Kundu Joyjit , Kwon Taehyun , Lee Kwangyeol , Choi Sang‐Il 
Published: January 2024

AbstractThe advancement of economical and readily available electrocatalysts for the oxygen reduction reaction (ORR) holds paramount importance in the advancement of fuel cells and metal‐air batteries. Recently, 2D non‐metallic materials have obtained substantial attention as viable alternatives for ORR catalysts due to their manifold advantages, encompassing low cost, ample availability, substantial surface‐to‐volume ratio, high conductivity, exceptional durability, and competitive activity. The augmented ORR performances observed in metal‐free 2D materials typically arise from heteroatom doping, defects, or the formation of heterostructures. Here, the authors delve into the realm of electrocatalysts for the ORR, pivoting around metal‐free 2D materials. Initially, the merits of metal‐free 2D materials are explored and the reaction mechanism of the ORR is dissected. Subsequently, a comprehensive survey of diverse metal‐free 2D materials is presented, tracing their evolutionary journey from fundamental concepts to pragmatic applications in the context of ORR. Substantial importance is given on the exploration of various strategies for enhancing metal‐free 2D materials and assessing their impact on inherent material performance, including electronic properties. Finally, the challenges and future prospects that lie ahead for metal‐free 2D materials are underscored, as they aspire to serve as efficient ORR electrocatalysts.
Neural basis of writing in prodromal to mild dementia with lewy bodies
Authors: Monvoisin‐Joly Tiphaine , Furcieri Emmanuelle , Chabran Elena , Mondino Mary , Loureiro de Sousa Paulo , Botzung Anne , Frédéric Blanc 
Published: January 2024

AbstractObjectivesWe have previously demonstrated difficulties in written production in dementia with Lewy bodies (DLB) patients. We now aim to determine the neural correlates of writing production in DLB, combining clinical data and structural MRI measures.MethodSixteen prodromal to mild DLB patients were selected to participate in the study. The GREMOTS test was used to assess writing production. Using three‐dimensional T1 brain MRI images, correlations between the GREMOTS test and grey matter (GM) volume were performed using voxel‐based morphometry (VBM; SPM12, XjView and Matlab R2021b softwares).ResultsVBM analysis (p < 0.001, uncorrected) revealed a positive and significant correlation between both left anterior insula and left supramarginal gyrus GM volumes and DLB patients' ability to write logatoms using the phonological route. The handwriting deficit was negatively and significantly correlated to the supplementary motor area. The parkinsonism‐like characteristics of agraphia were negatively and significantly correlated with both right anterior and right posterior cerebellum GM volumes. Our study also revealed a negative and significant correlation between grammatical spelling impairments and an area of the orbitofrontal gyrus, and a negative and significant correlation between supramarginal gyrus and general slowness in dictation tasks.ConclusionWriting disorders in early DLB patients appears to be GM decreases in several brain regions, such as the left anterior insula, the left supramaginal gyrus, as well as two areas of the right cerebellum.
Gate‐tunable Berry curvature in van der Waals itinerant ferromagnetic Cr7Te8
Authors: Meng Kui , Li Zeya , Gao Zhansheng , Bi Xiangyu , Chen Peng , Qin Feng , Qiu Caiyu , Xu Lingyun , Huang Junwei , Wu Jinxiong , Luo Feng , Yuan Hongtao 
Published: January 2024

AbstractThe anomalous Hall effect (AHE) that associated with the Berry curvature of occupied electronic states in momentum‐space is one of the intriguing aspects in condensed matter physics, and provides an alternative for potential applications in topological electronics. Previous experiments reported the tunable Berry curvature and the resulting magnetization switching process in the AHE based on strain engineering or chemical doping. However, the AHE modulation by these strategies are usually irreversible, making it difficult to realize switchable control of the AHE and the resultant spintronic applications. Here, we demonstrated the switchable control of the Berry‐curvature‐related AHE by electrical gating in itinerant ferromagnetic Cr7Te8 with excellent ambient stability. The gate‐tunable sign reversal of the AHE can be attributed to the redistribution of the Berry curvature in the band structure of Cr7Te8 due to the intercalation‐induced change in the Fermi level. Our work facilitates the applications of magnetic switchable devices based on gate‐tunable Berry curvature.image