bluuebunny/crossref_metadata_2025_split huggingface dataset:
›Species Trouble‹: Verunsicherungen der Mensch-Tier-Grenze in veganen Narrativen der Gegenwartsliteratur (J.M. Coetzees The Lives of Animals, Han Kangs Die Vegetarierin und Jakob Heins Wurst und Wahn. Ein Geständnis)
Authors: Böhm Alexandra 
Published: August 2023

ZusammenfassungDer Beitrag untersucht aus der Perspektive der Vegan Literary Studies fiktionale Texte der Gegenwartsliteratur, in denen die Praxis des Vegetarismus bzw. Veganismus als Gegendiskurs zur dominanten Fleisch-Kultur verhandelt wird. Der Verzehr von Fleisch bestätigt nicht nur die anthropologische Differenz, sondern ist auch eng verbunden mit Konzepten von Männlichkeit, Patriarchat und Autorität (Carol J. Adams, Jacques Derrida). Gastfreundschaft und Kommensalität affirmieren für gewöhnlich diese soziale Identität und gesellschaftliche Ordnung. Sitzen am Tisch allerdings Menschen, die sich dem Fleischkonsum widersetzen, fungieren sie als ›killjoys‹ (Sara Ahmed), die eine normative Glücks- und Identitätsordnung durchkreuzen. Die Analysen der fiktionalen Texte von Coetzee, Han Kang und Hein untersuchen, inwiefern ihre Protagonist*innen ›species trouble‹ erzeugen und so zur Verunsicherung scheinbar eindeutiger Mensch-Tier-Grenzziehungen beitragen, während die ästhetische Form der Narrative konventionalisierte Identitäten, Praktiken und Positionen der Aneignung problematisiert.
Towards controlled semi-autonomous deconstruction
Authors: Lee Hyung Joo , Brell-Cokcan Sigrid 
Published: August 2023

AbstractThe automation of deconstruction processes presents unique difficulties due to the harsh working conditions involved. In this research, we aim to address these limitations by advancing the teleoperated machine, BROKK 170, toward a developed semi-autonomous concept. We propose a framework for robot-assisted deconstruction, exploring the communication and sensing systems of the prototype deconstruction robot, along with its capabilities. Additionally, field tests are conducted to evaluate the performance of the proposed approach in real-world scenarios. The potentials and limitations drawn from these initial results are discussed.
Recent Progress of Bionic Hierarchical Structure in the Field of Thermal Insulation Protection
Authors: Zhuge Yina , Liu Fujuan 
Published: August 2023

AbstractSome living organisms with hierarchical structures in nature have received extensive attention in various fields. The hierarchical structure with multiple pores, a large number of solid–gas interfaces and tortuous conduction paths provide a new direction for the development of thermal insulation materials, making the living creatures under these extreme conditions become the bionic objects of scientific researchers. In this review, the research progress of bionic hierarchical structure in the field of heat insulation is highlighted. Polar bears, cocoons, penguin feathers and wool are typical examples of heat preservation hierarchy in nature to introduce their morphological characteristics. At the same time, the thermal insulation mechanism, fractal model and several preparation methods of bionic hierarchical structures are emphatically discussed. The application of hierarchical structures in various fields, especially in thermal insulation and infrared thermal stealth, is summarised. Finally, the hierarchical structure is prospected.
Applying the Consolidated Framework for Implementation Research to Optimize Implementation Strategies for the Friendship Bench Psychological Intervention in Zimbabwe
Authors: Chitiyo Charmaine , Verhey Ruth , Mboweni Sandra N. , Healey Andy , Chibanda Dixon , Araya Ricardo , Wagenaar Bradley H. 
Published: August 2023

AbstractScaling up an evidence-based mental health program such as the Friendship Bench (FB) Zimbabwe bares many difficulties. Guided by the Consolidated Framework for Implementation Research (CFIR), this study sought to understand the contextual determinants of FB performance and to identify and match novel implementation strategies to optimally overcome barriers. The CFIR was applied to guide twenty-five focus group discussions with n = 152 stakeholders in nine high- and four low-performing clinics across three cities in Zimbabwe to identify the constructs distinguishing clinic performance. Identified implementation barriers were included in the CFIR-Expert Recommendation for Implementation Change (ERIC) matching tool to inform strategies to optimize future FB implementation outcomes. Constructs peer pressure, goals and feedback, learning climate, planning, formally appointed leaders, and external change agents strongly distinguished between high- and low-performing clinics. Barriers to implementation were intervention complexity and organizational incentives and rewards; intervention-related constructs were identified as enablers. Strategies such as identifying and preparing champions, altering incentive structures, developing a formal implementation blueprint, and organizing regular clinician meetings were chosen to address barriers and optimize FB implementation. There was variability in the implementation performance of FB three years post-scale-up. High-performing clinics appear to be influenced positively by peer pressure, goal setting and feedback, better staff communication and integration of the program, overall learning climate, and clinic-level planning. A set of enhanced FB implementation strategies should be applied to improve implementation performance.
Biocultural aspects of species extinctions
Authors: Ladle Richard J. , Alves-Martins Fernanda , Malhado Ana C.M. , Reyes-García Victoria , Courchamp Franck , Di Minin Enrico , Roll Uri , Jarić Ivan , Correia Ricardo A. 
Published: August 2023

AbstractPredicting whether a species is likely to go extinct (or not) is one of the fundamental objectives of conservation biology, and extinction risk classifications have become an essential tool for conservation policy, planning and research. This sort of prediction is feasible because the extinction processes follow a familiar pattern of population decline, range collapse and fragmentation, and, finally, extirpation of sub-populations through a combination of genetic, demographic and environmental stochasticity. Though less well understood and rarely quantified, the way in which science and society respond to population decline, extirpation and species extinction can also have a profound influence, either negative or positive, on whether a species goes extinct. For example, species that are highly sought after by collectors and hobbyists can become more desirable and valuable as they become rarer, leading to increased demand and greater incentives for illegal trade – known as the anthropogenic Allee effect. Conversely, species that are strongly linked to cultural identity are more likely to benefit from sustainable management, high public support for conservation actions and fund-raising, and, by extension, may be partially safeguarded from extinction. More generally, human responses to impending extinctions are extremely complex, are highly dependent on cultural and socioeconomic context, and have typically been far less studied than the ecological and genetic aspects of extinction. Here, we identify and discuss biocultural aspects of extinction and outline how recent advances in our ability to measure and monitor cultural trends with big data are, despite their intrinsic limitations and biases, providing new opportunities for incorporating biocultural factors into extinction risk assessment.
A Sorting Method for Radar Echo Extraction Based on Observation Submatrix
Authors: Liu Zhipeng , Gu Yanyang , Hu Baojie , Gong Fuhong , Fan Zhipeng 
Published: August 2023

AbstractWith the advancement of active jamming technology, a variety of new types of coherent jamming based on digital radio frequency memory have been proposed and implemented in practice, posing serious threats to modern radar systems due to their flexibility, suppression, and deception characteristics. Hence the research on radar echo extraction is necessary and challenging. In this paper, we focus on removing interference from received time‐frequency overlapping signals,and the anti‐jamming problem is transformed into one linear underdetermined blind source separation model in a dual‐channel receiving scenario. The feasible solution is found by utilizing the observation submatrices to convert the observed signal features to a new representation, which originates from sparse component analysis. Simulations demonstrate that the developed technique outperforms standard interference countermeasures in terms of signal‐to‐interference ratio and target identification performance, which are critical for anti‐jamming.
Size Distributions Reveal Regime Transition of Lake Systems Under Different Dominant Driving Forces
Authors: Hu Shengjie , Yang Zhenlei , Torres Sergio , Wang Zipeng , Li Ling 
Published: August 2023

AbstractPower law size distribution is found to associate with fractal, self‐organized behaviors and patterns of complex systems. Such distribution also emerges from natural lakes, with potentially important links to the dynamics of lake systems. But the driving mechanism that generates and shapes this feature in lake systems remains unclear. Moreover, the power law itself was found inadequate for fully describing the size distribution of lakes, due to deviations at the two ends of size range. Based on observed and simulated lakes in China's 11 hydro‐climatic zones, we established a conceptual model for lake systems, which covers the whole size range of lake size distribution and reveals the underlying driving mechanism. The full lake size distribution is composed of three components, with three phases featured by exponential, stretched‐exponential and power law distribution. The three phases represent system states with successively increasing degrees of heterogeneity and orderliness, and more importantly, indicate the dominance of exogenic and endogenic forces, respectively. As the dominant driving force changes from endogenic to exogenic, a phase transition occurs with lake size distribution shifted from power law to stretched‐exponential and further to exponential distribution. Apart from compressing the power law phase, exogenic force also increases its scaling exponent, driving the corresponding lake size power spectrum into the regime of “blue noise.” During this process, the autocorrelation function of the lake system diverges with a possibility of going to infinity, indicating the loss of system resilience.
Projection of Long‐Term Climate Change in China Under COVID‐19 Recovery Emission Scenarios
Authors: Tian Chenguang , Yue Xu , Zhou Xinyi , Lei Yadong , Zhou Hao , Cao Yang 
Published: August 2023

AbstractThe unexpected emergence of the 2019 coronavirus disease (COVID‐19) pandemic resulted in anthropogenic emissions changes, which have significant consequences for the regional and global climate. However, the long‐term impacts of emission reductions and recovery scenarios on regional climate change in China remain unknown. We use the COVID Model Intercomparison Project (CovidMIP) simulations to project climate change in China in the mid‐21st century under four recovery emission pathways in the post‐COVID era. We found that the temporary emission cut during the COVID‐19 lockdown under the 2‐year‐blip scenario has limited long‐term impact on regional climate change. Anthropogenic emissions are reduced under moderate and stringent greening recovery pathways, leading to reductions of 0.17 ± 0.09°C and 0.35 ± 0.10°C in surface air temperature (SAT) relative to the SSP2‐4.5 baseline in China, respectively. Although the reduction of greenhouse gas emissions decreases SAT, the simultaneous enhanced surface solar radiation due to reduced aerosol concentrations partly offsets the GHG‐induced cooling. Additionally, the weakened aerosol‐cloud interactions associated with reduced aerosols increase the national precipitation by 1.30 ± 0.88 mm month−1 (1.63 ± 1.11%) and 1.91 ± 0.60 mm month−1 (2.39 ± 0.77%) in two green scenarios. As a comparison, regional precipitation decreases by 0.40 ± 0.53 mm month−1 (0.50 ± 0.66%) in the fossil‐based recovery scenario. Therefore, long‐term climate change is more dominated by the emission recovery pathways rather than short‐term emission reduction during the pandemic for China.
Epigenome-wide analysis identifies methylome profiles linked to obsessive-compulsive disorder, disease severity, and treatment response
Authors: Campos-Martin Rafael , Bey Katharina , Elsner Björn , Reuter Benedikt , Klawohn Julia , Philipsen Alexandra , Kathmann Norbert , Wagner Michael , Ramirez Alfredo 
Published: August 2023

AbstractObsessive-compulsive disorder (OCD) is a prevalent mental disorder affecting ~2–3% of the population. This disorder involves genetic and, possibly, epigenetic risk factors. The dynamic nature of epigenetics also presents a promising avenue for identifying biomarkers associated with symptom severity, clinical progression, and treatment response in OCD. We, therefore, conducted a comprehensive case-control investigation using Illumina MethylationEPIC BeadChip, encompassing 185 OCD patients and 199 controls recruited from two distinct sites in Germany. Rigorous clinical assessments were performed by trained raters employing the Structured Clinical Interview for DSM-IV (SCID-I). We performed a robust two-step epigenome-wide association study that led to the identification of 305 differentially methylated CpG positions. Next, we validated these findings by pinpointing the optimal set of CpGs that could effectively classify individuals into their respective groups. This approach identified a subset comprising 12 CpGs that overlapped with the 305 CpGs identified in our EWAS. These 12 CpGs are close to or in genes associated with the sweet-compulsive brain hypothesis which proposes that aberrant dopaminergic transmission in the striatum may impair insulin signaling sensitivity among OCD patients. We replicated three of the 12 CpGs signals from a recent independent study conducted on the Han Chinese population, underscoring also the cross-cultural relevance of our findings. In conclusion, our study further supports the involvement of epigenetic mechanisms in the pathogenesis of OCD. By elucidating the underlying molecular alterations associated with OCD, our study contributes to advancing our understanding of this complex disorder and may ultimately improve clinical outcomes for affected individuals.
Diverging asymmetry of intrinsic functional organization in autism
Authors: Wan Bin , Hong Seok-Jun , Bethlehem Richard A. I. , Floris Dorothea L. , Bernhardt Boris C. , Valk Sofie L. 
Published: August 2023

AbstractAutism is a neurodevelopmental condition involving atypical sensory-perceptual functions together with language and socio-cognitive deficits. Previous work has reported subtle alterations in the asymmetry of brain structure and reduced laterality of functional activation in individuals with autism relative to non-autistic individuals (NAI). However, whether functional asymmetries show altered intrinsic systematic organization in autism remains unclear. Here, we examined inter- and intra-hemispheric asymmetry of intrinsic functional gradients capturing connectome organization along three axes, stretching between sensory-default, somatomotor-visual, and default-multiple demand networks, to study system-level hemispheric imbalances in autism. We observed decreased leftward functional asymmetry of language network organization in individuals with autism, relative to NAI. Whereas language network asymmetry varied across age groups in NAI, this was not the case in autism, suggesting atypical functional laterality in autism may result from altered developmental trajectories. Finally, we observed that intra- but not inter-hemispheric features were predictive of the severity of autistic traits. Our findings illustrate how regional and patterned functional lateralization is altered in autism at the system level. Such differences may be rooted in atypical developmental trajectories of functional organization asymmetry in autism.
Going circular: history, present, and future of circRNAs in cancer
Authors: Pisignano Giuseppina , Michael David C. , Visal Tanvi H. , Pirlog Radu , Ladomery Michael , Calin George A. 
Published: August 2023

AbstractTo date, thousands of highly abundant and conserved single-stranded RNA molecules shaped into ring structures (circRNAs) have been identified. CircRNAs are multifunctional molecules that have been shown to regulate gene expression transcriptionally and post-transcriptionally and exhibit distinct tissue- and development-specific expression patterns associated with a variety of normal and disease conditions, including cancer pathogenesis. Over the past years, due to their intrinsic stability and resistance to ribonucleases, particular attention has been drawn to their use as reliable diagnostic and prognostic biomarkers in cancer diagnosis, treatment, and prevention. However, there are some critical caveats to their utility in the clinic. Their circular shape limits their annotation and a complete functional elucidation is lacking. This makes their detection and biomedical application still challenging. Herein, we review the current knowledge of circRNA biogenesis and function, and of their involvement in tumorigenesis and potential utility in cancer-targeted therapy.
Effect of respiratory muscle training on load sensations in people with chronic tetraplegia: a secondary analysis of a randomised controlled trial
Authors: Luu Billy L. , Lewis R. H. Chaminda , McBain Rachel A. , Gandevia Simon C. , Boswell-Ruys Claire L. , Butler Jane E. 
Published: August 2023

Abstract
Study design
Secondary analysis of a randomised controlled trial.

Objectives
Our primary study showed that increasing inspiratory muscle strength with training in people with chronic (>1 year) tetraplegia corresponded with reduced sensations of breathlessness when inspiration was loaded. This study investigated whether respiratory muscle training also affected the respiratory sensations for load detection and magnitude perception.

Setting
Independent research institute in Sydney, Australia.

Methods
Thirty-two adults with chronic tetraplegia participated in a 6-week, supervised training protocol. The active group trained the inspiratory muscles through progressive threshold loading. The sham group performed the same protocol with a fixed threshold load (3.6 cmH2O). Primary measures were load detection threshold and perceived magnitudes of six suprathreshold loads reported using the modified Borg scale.

Results
Maximal inspiratory pressure (Pimax) increased by 32% (95% CI, 18–45) in the active group with no change in the sham group (p =  0.51). The training intervention did not affect detection thresholds in the active (p =  0.24) or sham (p =  0.77) group, with similar overall decreases in Borg rating of 0.83 (95% CI, 0.49–1.17) in active and 0.72 (95% CI, 0.32–1.12) in sham group. Increased inspiratory muscle strength reduced slope magnitude between Borg rating and peak inspiratory pressure (p =  0.003), but not when pressure was divided by Pimax to reflect contraction intensity (p =  0.92).

Conclusions
Training reduces the sensitivity of load sensations for a given change in pressure but not for a given change in contraction intensity.
Integrin β3 directly inhibits the Gα13-p115RhoGEF interaction to regulate G protein signaling and platelet exocytosis
Authors: Zhang Yaping , Zhao Xiaojuan , Shen Bo , Bai Yanyan , Chang Claire , Stojanovic Aleksandra , Wang Can , Mack Andrew , Deng Gary , Skidgel Randal A. , Cheng Ni , Du Xiaoping 
Published: August 2023

AbstractThe integrins and G protein-coupled receptors are both fundamental in cell biology. The cross talk between these two, however, is unclear. Here we show that β3 integrins negatively regulate G protein-coupled signaling by directly inhibiting the Gα13-p115RhoGEF interaction. Furthermore, whereas β3 deficiency or integrin antagonists inhibit integrin-dependent platelet aggregation and exocytosis (granule secretion), they enhance G protein-coupled RhoA activation and integrin-independent secretion. In contrast, a β3-derived Gα13-binding peptide or Gα13 knockout inhibits G protein-coupled RhoA activation and both integrin-independent and dependent platelet secretion without affecting primary platelet aggregation. In a mouse model of myocardial ischemia/reperfusion injury in vivo, the β3-derived Gα13-binding peptide inhibits platelet secretion of granule constituents, which exacerbates inflammation and ischemia/reperfusion injury. These data establish crucial integrin-G protein crosstalk, providing a rationale for therapeutic approaches that inhibit exocytosis in platelets and possibly other cells without adverse effects associated with loss of cell adhesion.
Whole genome deconvolution unveils Alzheimer’s resilient epigenetic signature
Authors: Berson Eloise , Sreenivas Anjali , Phongpreecha Thanaphong , Perna Amalia , Grandi Fiorella C. , Xue Lei , Ravindra Neal G. , Payrovnaziri Neelufar , Mataraso Samson , Kim Yeasul , Espinosa Camilo , Chang Alan L. , Becker Martin , Montine Kathleen S. , Fox Edward J. , Chang Howard Y. , Corces M. Ryan , Aghaeepour Nima , Montine Thomas J. 
Published: August 2023

AbstractAssay for Transposase Accessible Chromatin by sequencing (ATAC-seq) accurately depicts the chromatin regulatory state and altered mechanisms guiding gene expression in disease. However, bulk sequencing entangles information from different cell types and obscures cellular heterogeneity. To address this, we developed Cellformer, a deep learning method that deconvolutes bulk ATAC-seq into cell type-specific expression across the whole genome. Cellformer enables cost-effective cell type-specific open chromatin profiling in large cohorts. Applied to 191 bulk samples from 3 brain regions, Cellformer identifies cell type-specific gene regulatory mechanisms involved in resilience to Alzheimer’s disease, an uncommon group of cognitively healthy individuals that harbor a high pathological load of Alzheimer’s disease. Cell type-resolved chromatin profiling unveils cell type-specific pathways and nominates potential epigenetic mediators underlying resilience that may illuminate therapeutic opportunities to limit the cognitive impact of the disease. Cellformer is freely available to facilitate future investigations using high-throughput bulk ATAC-seq data.
Ultra-wideband optical coherence elastography from acoustic to ultrasonic frequencies
Authors: Feng Xu , Li Guo-Yang , Yun Seok-Hyun 
Published: August 2023

AbstractVisualizing viscoelastic waves in materials and tissues through noninvasive imaging is valuable for analyzing their mechanical properties and detecting internal anomalies. However, traditional elastography techniques have been limited by a maximum wave frequency below 1-10 kHz, which hampers temporal and spatial resolution. Here, we introduce an optical coherence elastography technique that overcomes the limitation by extending the frequency range to MHz. Our system can measure the stiffness of hard materials including bones and extract viscoelastic shear moduli for polymers and hydrogels in conventionally inaccessible ranges between 100 Hz and 1 MHz. The dispersion of Rayleigh surface waves across the ultrawide band allowed us to profile depth-dependent shear modulus in cartilages ex vivo and human skin in vivo with sub-mm anatomical resolution. This technique holds immense potential as a noninvasive measurement tool for material sciences, tissue engineering, and medical diagnostics.