bluuebunny/crossref_metadata_2025_split huggingface dataset:
Amino‐Acid Side‐Chain Nanoarchitectonics for Tuning the Chiroptical Properties and Supramolecular Structure of Pentameric Oligothiophenes
Authors: Björk Linnea , Selegård Robert , Bäck Marcus , Hammarström Per , Lindgren Mikael , Nilsson K. Peter R. 
Published: December 2023

AbstractOligothiophenes with specific photophysical properties and molecular organization are of great interest, since this class of materials are used in organic electronics and bioelectronics, as well as biosensing. Herein, 8 different pentameric oligothiophenes, denoted proteophenes, with different amino acid substitution patterns at distinct positions along the thiophene backbone were investigated. Spectroscopic and microscopic studies of the ligands revealed the formation of optically active self‐assembled materials under acidic or basic conditions. The distinct photophysical characteristics, including induced circular dichroism, as well as the supramolecular structures of the assemblies deduced from light scattering and transmission electron microscopy, were highly influenced by the positioning of distinct amino acid moieties along the thiophene backbone. Proteophenes functionalized with only glutamate residues or these functionalities in combination with hydrophobic valine moieties formed fibrillar structures with excellent chiroptical properties under acidic conditions. In addition, the amino acid functionality at the β‐position of distinct thiophene moieties influenced the induced circular dichroism pattern observed from the proteophenes. Overall, the obtained results demonstrate how changes in the position of various amino acid functionalities, as well as the chemical nature of the amino acid side chain functionality greatly affect the optical properties as well as the architecture of the self‐assembled materials.
An ultra‐thin frequency‐selective surface with inductive loading for X‐band shielding applications
Authors: Chellaiah Elango , M Kannan 
Published: December 2023

SummaryA novel band‐stop frequency‐selective surface (FSS) for X‐band electromagnetic shielding is reported in this study. The single‐layer, single‐sided FSS has frequency‐dependent conductive patterns developed on a polyimide substrate that provides strong rejection to the entire X‐band frequencies. The unit cell FSS has an octagonal loop configuration. Each side of the octagonal loop is alternatively loaded with thick conductive patches and stub lines to reject 8 − 12 GHz with |S21| ≤ −15 dB. The size of the unit cell FSS is 0.167λo × 0.1673λo where λo is the free space wavelength calculated at the center frequency. Owing to the rotational symmetry, the FSS unit cell exhibits mode‐independent characteristics. The bending characteristics of the FSS are analyzed, and the inferences show that the FSS properties remain unchanged under flat and bent cases. The ultra‐thin FSS offers stable frequency response for normal and oblique incidences up to 80°. The designed FSS is fabricated and tested under laboratory conditions to validate the simulation results.
Ecological quality assessment: A framework to report ecosystems quality and their dynamics from reference conditions
Authors: Sturbois Anthony , De Cáceres Miquel , Bifolchi Aline , Bioret Frédéric , Boyé Aurélien , Gauthier Olivier , Grall Jacques , Grémare Antoine , Labrune Céline , Robert Alexandre , Schaal Gauthier , Desroy Nicolas 
Published: December 2023

AbstractWorldwide, ecosystems are suffering important taxonomic and functional modifications in response to anthropogenic disturbances, operating at multiple spatial and temporal scales. Awareness on biodiversity losses has led to the adoption of conservation policies and the development of programs devoted to the conservation and the restoration of terrestrial, freshwater, and marine ecosystems. The assessment of the ecological health of ecosystems requires measuring and characterizing restoration or degradation dynamics and their consequences on the ecological quality with respect to reference conditions defined pragmatically as conservation targets. Methodological innovations, in terms of data collection, analysis, and visualization, have an important influence on the ability of ecologists to understand biodiversity changes. The assessment of the quality of ecosystems with respect to reference conditions requires to address, notably, three main challenges: the definition of reference conditions, the assessment of the degree of achievement of conservation objectives, and the qualitative and quantitative characterization of recovering and departing patterns. We propose here the ecological quality assessment (EQA) framework as a data‐driven approach to track ecological quality focusing on the distance of the tested stations with respect to a chosen reference envelope using fuzzy logic and trajectory analysis. We take advantage of those analytical tools to propose a general and flexible multivariate framework by quantifying the achievement of reference conditions, measuring restoration and degradation dynamics when temporal series are available, and representing and synthesizing this information. To take into account the natural spatiotemporal variability of sites considered as reference, we gave two variants to our framework: a state‐based variant when no temporal replications are available and a trajectory‐based variant specially devoted to compare whole trajectories to a trajectory reference envelope defined by a set of reference trajectories. These two complementary approaches were illustrated through two terrestrial and marine ecological applications using the R package “ecotraj” in order to evidence ecological observations that meet conservation objectives from those that do not meet them. EQA constitutes a flexible framework for the assessment and reporting of ecosystem quality, including restoration and degradation dynamics adaptable to multiple questions in the different fields of ecology and conservation.
Function, composition, digestion, and processing and utilization of silkworm pupae oil: A review
Authors: Zhai Mengkai , Wang Weifei , Zou Yuxiao , Liao Sentai , Wang Siyuan , Mu Lixia 
Published: December 2023

AbstractSilkworm pupae oil (SPO) has long been a useful resource. In recent years, an increasing number of studies have shown the valuable physiological effects of this oil, and functional oil products with health benefits can be developed using SPO. In this review, recent research on the physiological functions, sources, material composition, digestive characteristics, and processing and use of SPO are summarized, providing a scientific basis for the full exploitation and utilization of SPO.
Peak floor acceleration demands in torsionally irregular buildings
Authors: Jain Ankur , Surana Mitesh 
Published: December 2023

AbstractAccurate estimation of the peak floor acceleration (PFA) plays a crucial role in ensuring the seismic safety of a building, its contents, and attachments. This study investigates amplification in PFA due to building torsion. Torsionally irregular reinforced‐concrete moment‐resisting frame buildings are analyzed under bidirectional earthquake excitations for five levels of ductility demands. A total of 5600 nonlinear dynamic analyses are conducted on the considered buildings while subjected to the far‐field ground motions suite. It is shown that the existing code provisions significantly underpredict the PFA demands at the flexible edge of elastic and moderately inelastic torsionally irregular buildings. The torsional amplification factors for PFA demands depend on the building's torsional and strength characteristics. Further, these torsional amplification factors are correlated well with the building's elastic floor displacement‐based torsional irregularity indices. Practice‐oriented equations are proposed to predict the torsional amplification factors for PFA demands in torsionally irregular buildings. The proposed equations can be easily used after estimating the elastic floor displacement‐based torsional irregularity indices using the modal superposition method. When applied with the latest ASCE 7 provisions, the proposed equations provide reasonably accurate estimates of the PFA demands in torsionally irregular buildings.
Male‐philopatric nonhuman primates and their potential role in understanding the evolution of human sociality
Authors: Milich Krista M. 
Published: December 2023

AbstractIn most primate species, males transfer out of their natal groups, resulting in groups of unrelated males. However, in a few species, including humans, males remain in their groups and form life‐long associations with each other. This pattern of male philopatry is linked with cooperative male behaviors, including border patrols and predator defense. Because females in male‐philopatric species form weaker kin networks with each other than in female‐philopatric species, they are expected to evolve counter‐strategies to male sexual coercion that are relatively independent of support from other females. Studies of male‐philopatric nonhuman primates can provide insight into the evolutionary basis of prosocial behaviors, cooperation, and group action in humans and offer comparative models for understanding the sociality of other hominin species. This review will discuss patterns of dispersal and philopatry across primates, explore the resulting male and female behaviors, and argue that male‐philopatric nonhuman primate species offer insight into the social and sexual dynamics of hominins throughout evolution.
Potassium channel modulation in macrophages sensitizes dorsal root ganglion neurons after nerve injury
Authors: Konnova Elena A. , Deftu Alexandru‐Florian , Chu Sin Chung Paul , Kirschmann Guylène , Decosterd Isabelle , Suter Marc R. 
Published: December 2023

AbstractMacrophages and satellite glial cells are found between injured and uninjured neurons in the lumbar dorsal root ganglia (DRG). We explored the mechanism of neuro‐immune and neuron–glia crosstalk leading to hyperexcitability of DRG neurons. After spared nerve injury (SNI), CX3CR1+ resident macrophages became activated, proliferated, and increased inward‐rectifying potassium channel Kir2.1 currents. Conditioned medium (CM) by macrophages, obtained from DRG of SNI mice, sensitized small DRG neurons from naïve mice. However, treatment with CM from GFAP+ glial cells did not affect neuronal excitability. When subjected to this macrophage‐derived CM, DRG neurons had increased spontaneous activity, current‐evoked responses and voltage‐gated NaV1.7 and NaV1.8 currents. Silencing Kir2.1 in macrophages after SNI prevented the induction of neuronal hyperexcitability from their CM. Blocking vesicular exocytosis or soluble tumor necrosis factor in CM or interfering with the downstream intracellular p38 pathway in neurons, also prevented neuronal hyperexcitability. Blocking protein trafficking in neurons reduced the effect of CM, suggesting that the hyperexcitable state resulted from changes in NaV channel trafficking. These results suggest that DRG macrophages, primed by peripheral nerve injury, contribute to neuron–glia crosstalk, NaV channel dysregulation and neuronal hyperexcitability implicated in the development of neuropathic pain.
Quantifying recharge sources to groundwater to an oasis area: Implications for strengthening water resource management under changing environmental conditions
Authors: Qi Shi , Shu Heping , Feng Qi , Zhu Meng , Liu Wei , He Jianhua 
Published: December 2023

AbstractIn order to implement sustainable management of water resources in the Desert Oasis, it is necessary to quantify the changes in the groundwater recharge process. Using the Cl−, stable hydrogen and oxygen isotope datasets extracted from 113 groundwater samples in the years of 2000 and 2020, and combining these with the MixSIAR model, changes in the groundwater recharge process and recharge source contributions in the Minqin Oasis (MO) in northwestern China area before and after ecological treatment were quantitatively analysed. Overall, confined groundwater was the greatest contributor to the recharge of shallow groundwater in the MO area in 2000. However, after 10 years of ecological rehabilitation, surface water has become the most important recharge source of shallow groundwater, with its contribution increasing by 10.6% between 2000 and 2020 ~ 2021. River water diversion projects have reversed falling groundwater levels in the MO area. Of these projects, that in the MO has seen groundwater levels rise at a rate of 0.09 m·year−1 from 2008 to 2019. This coincides with the increase in the contribution of surface water to groundwater recharge in 2020. In addition, insignificant changes were observed in the contributions made by lateral groundwater flow to groundwater recharge in the MO area in the years of 2000 and 2020 ~ 2021, indicating that groundwater in the upper and middle reaches of the MO area have contributed very little to the restoration of groundwater levels in the area's lower reaches. All these factors would appear to indicate that regional ecological management has had a lasting impact, and that the exploitation of groundwater in this desert oasis area in an inland river basin should be based upon rational planning and integrated, comprehensive management strategies.
Frameworked electrolytes: Ionic transport behavior and high mobility for solid state batteries
Authors: Sun Jianguo , Yuan Hao , Yang Jing , Wang Tuo , Gao Yulin , Zhao Qi , Liu Ximeng , Wang Haimei , Zhang Yong‐Wei , Wang John 
Published: December 2023

AbstractAll solid‐state batteries (ASSBs) are the holy grails of rechargeable batteries, where extensive searches are ongoing in the pursuit of ideal solid‐state electrolytes. Nevertheless, there is still a long way off to the satisfactorily high (enough) ionic conductivity, long‐term stability and especially being able to form compatible interfaces with the solid electrodes. Herein, we have explored ionic transport behavior and high mobility in the sub‐nano pore networks in the framework structures. Macroscopically, the frameworked electrolyte behaves as a solid, and however in the (sub)‐nano scales, the very limited number of solvent molecules in confinement makes them completely different from that in liquid electrolyte. Differentiated from a liquid‐electrolyte counterpart, the interactions between the mobile ions and surrounding molecules are subject to dramatic changes, leading to a high ionic conductivity at room temperature with a low activation energy. Li+ ions in the sub‐nano cages of the network structure are highly mobile and diffuse rather independently, where the rate‐limiting step of ions crossing cages is driven by the local concentration gradient and the electrostatic interactions between Li+ ions. This new class of frameworked electrolytes (FEs) with both high ionic conductivity and desirable interface with solid electrodes are demonstrated to work with Li‐ion batteries, where the ASSB with LiFePO4 shows a highly stable electrochemical performance of over 450 cycles at 2°C at room temperature, with an almost negligible capacity fade of 0.03‰ each cycle. In addition, the FE shows outstanding flexibility and anti‐flammability, which are among the key requirements of large‐scale applications.image
Skeletal Class III phenotype: Link between animal models and human genetics: A scoping review
Authors: Dehesa‐Santos Alexandra , Faria‐Teixeira Maria Cristina , Iglesias‐Linares Alejandro 
Published: December 2023

AbstractThis study aimed to identify evidence from animal studies examining genetic variants underlying maxillomandibular discrepancies resulting in a skeletal Class III (SCIII) malocclusion phenotype. Following the Manual for Evidence Synthesis of the JBI and the PRISMA extension for scoping reviews, a participant, concept, context question was formulated and systematic searches were executed in the PubMed, Scopus, WOS, Scielo, Open Gray, and Mednar databases. Of the 779 identified studies, 13 met the selection criteria and were included in the data extraction. The SCIII malocclusion phenotype was described as mandibular prognathism in the Danio rerio, Dicentrarchus labrax, and Equus africanus asinus models; and as maxillary deficiency in the Felis silvestris catus, Canis familiaris, Salmo trutta, and Mus musculus models. The identified genetic variants highlight the significance of BMP and TGF‐β signaling. Their regulatory pathways and genetic interactions link them to cellular bone regulation events, particularly ossification regulation of postnatal cranial synchondroses. In conclusion, twenty genetic variants associated with the skeletal SCIII malocclusion phenotype were identified in animal models. Their interactions and regulatory pathways corroborate the role of these variants in bone growth, differentiation events, and ossification regulation of postnatal cranial synchondroses.
Classes of intersection digraphs with good algorithmic properties
Authors: Jaffke Lars , Kwon O‐joung , Telle Jan Arne 
Published: December 2023

AbstractWhile intersection graphs play a central role in the algorithmic analysis of hard problems on undirected graphs, the role of intersection digraphs in algorithms is much less understood. We present several contributions towards a better understanding of the algorithmic treatment of intersection digraphs. First, we introduce natural classes of intersection digraphs that generalize several classes studied in the literature. Second, we define the directed locally checkable vertex (DLCV) problems, which capture many well‐studied problems on digraphs, such as
(Independent) Dominating Set,
Kernel, and ‐Homomorphism. Third, we give a new width measure of digraphs, bi‐mim‐width, and show that the DLCV problems are polynomial‐time solvable when we are provided a decomposition of small bi‐mim‐width. Fourth, we show that several classes of intersection digraphs have bounded bi‐mim‐width, implying that we can solve all DLCV problems on these classes in polynomial time given an intersection representation of the input digraph. We identify reflexivity as a useful condition to obtain intersection digraph classes of bounded bi‐mim‐width, and therefore to obtain positive algorithmic results.
Confucian ideal personality traits (Junzi personality) and leadership effectiveness: Why leaders with traditional traits can achieve career success in modern China
Authors: Ge Xiaoyu , Li Xiaoming , Hou Yubo 
Published: December 2023

SummaryThe assumption of Confucian traditions being a handicap for East Asians when adapting to a modernizing world has been subject to challenge because of the rapid development of East Asian societies, which has prompted researchers to seek a culturally compatible perspective for understanding the foundations of East Asian modernization. This paper built a hypothetical model for indigenous theoretical resources. In The Analects, Confucius offered propositions on the links between leaders' Junzi personality (i.e., Confucian ideal personality traits) and leadership effectiveness, as well as the mediating roles of leadership styles. To test our hypotheses, we conducted two studies involving 513 supervisor–subordinate dyads in China. Study 1 indicated that Junzi personality had a significantly positive effect on leadership effectiveness and that such significance remained even after controlling for the Big Five personality traits. It also examined the incremental value and relative importance. Study 2 showed that ethical and transformational leadership mediated the effect of Junzi personality on leadership effectiveness measured two months later. In both datasets, leaders with higher Junzi personality scores assigned higher self‐ratings on performance, and their subordinates perceived higher leadership effectiveness, felt higher job satisfaction, and displayed lower turnover intentions.
Quantifying the association between Arctic Sea ice extent and Indian precipitation
Authors: Kulkarni Sujata , Agarwal Ankit 
Published: December 2023

AbstractThe unprecedented sea ice loss in the Arctic is due to its stronger surface warming than other parts across the globe, resulting in far‐flung effects on weather and climate at different spatial and temporal scales. We investigate how Arctic Sea ice and Indian summer monsoon rainfall (ISMR) are associated at seasonal scale and when preconditioned by Arctic Oscillation (AO) phases. This study also examines the potential predictability using correlation and composite analysis. The results indicate a significant decline in sea ice extent (SIE) at a rate of 0.055 Mkm2/year (p < 0.05). The strong association between SIE and precipitation in the Indian region is confirmed by correlation values ranging from −0.6 to 0.6 (p < 0.05). The spatial patterns of seasonal SIE and precipitation association remain consistent for 1979–2021. We found that the prevailing AO phases influence the association of sea ice with ISMR precipitation. The high correlation between SIE and ISMR anomalies suggests that Arctic Sea ice could be a reliable predictor for ISMR.
Antecedent configurations toward supply chain resilience: The joint impact of supply chain integration and big data analytics capability
Authors: Jiang Yisa , Feng Taiwen , Huang Yufei 
Published: December 2023

AbstractMany antecedents identified as essential to supply chain resilience (SCR) are often studied independently, without considering their synergistic effects. Based on a case study and resource orchestration theory, this article focuses on configurations of different antecedents regarding supply chain integration and big data analytics capability to develop proactive and reactive SCR. Using survey data from 277 Chinese manufacturing firms, we consider three dimensions of supply chain integration, information integration, operational integration and relational integration, and three dimensions of big data analytics capability, technical skills, managerial skills and data driven‐decision culture, and conduct fuzzy‐set qualitative comparative analysis (fsQCA) to explore antecedent configurations generating high proactive and reactive SCR. We find that multiple antecedent configurations can achieve high SCR and configurations for high proactive and reactive SCR are not identical, which may involve alternative effects across different antecedents. We further implement propensity score matching analysis and reveal that firms following these configurations for high SCR also have better economic and operational performance. Moreover, we check the robustness of findings by using secondary data and attributes analysis with machine learning. This article complements and extends existing SCR literature from the configurational perspective and provides practical insights for managers to build SCR.