bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Brain Protein Atlas: A conglomerate of proteomics datasets of human neural tissue
Authors: Lam K.H. Brian , Faust Kevin , Yin Richard , Fiala Clare , Diamandis Phedias 
Published: August 2022

AbstractThe human brain represents one of the most complex biological structures with significant spatiotemporal molecular plasticity occurring through early development, learning, aging, and disease. While much progress has been made in mapping its transcriptional architecture, more downstream phenotypic readouts are relatively scarce due to limitations with tissue heterogeneity and accessibility, as well as an inability to amplify protein species prior to global ‐OMICS analysis. To address some of these barriers, our group has recently focused on using mass‐spectrometry workflows compatible with small amounts of formalin‐fixed paraffin‐embedded tissue samples. This has enabled exploration into spatiotemporal proteomic signatures of the brain and disease across otherwise inaccessible neurodevelopmental timepoints and anatomical niches. Given the similar theme and approaches, we introduce an integrated online portal, “The Brain Protein Atlas (BPA)” (www.brainproteinatlas.org), representing a public resource that allows users to access and explore these amalgamated datasets. Specifically, this portal contains a growing set of peer‐reviewed mass‐spectrometry‐based proteomic datasets, including spatiotemporal profiles of human cerebral development, diffuse gliomas, clinically aggressive meningiomas, and a detailed anatomic atlas of glioblastoma. One barrier to entry in mass spectrometry‐based proteomics data analysis is the steep learning curve required to extract biologically relevant data. BPA, therefore, includes several built‐in analytical tools to generate relevant plots (e.g., volcano plots, heatmaps, boxplots, and scatter plots) and evaluate the spatiotemporal patterns of proteins of interest. Future iterations aim to expand available datasets, including those generated by the community at large, and analytical tools for exploration. Ultimately, BPA aims to improve knowledge dissemination of proteomic information across the neuroscience community in hopes of accelerating the biological understanding of the brain and various maladies.
Dual‐Scale Porous Composite for Tactile Sensor with High Sensitivity over an Ultrawide Sensing Range
Authors: Bae Kyubin , Kim Minhyeong , Kang Yunsung , Sim Sangjun , Kim Wondo , Pyo Soonjae , Kim Jongbaeg 
Published: August 2022

AbstractPorous structures have been utilized in tactile sensors to improve sensitivity owing to their excellent deformability. Recently, tactile sensors using porous structures have been used in practical applications, such as bio‐signal monitoring. However, highly sensitive responses are limited to the low‐pressure range, and their sensitivity significantly decreases in a higher‐pressure range. Several approaches for developing tactile sensors with high sensitivity overing a wide pressure range have been proposed; however, achieving high sensitivity and wide sensing range remains a crucial challenge. This report presents a carbon nanotube (CNT)‐coated CNT–polydimethylsiloxane (PDMS) composite having dual‐scale pores for tactile sensors with high sensitivity over a wide pressure range. The porous polymer frame formed with dense pores of dual sizes facilitates the closure of large and small pores at low and high pressures, respectively. This results in an apparent increase in the number of contact points between the CNT–CNT at the pores even under a wide pressure range. Furthermore, the piezoresistivity of the CNT–PDMS composite contributes to achieving a high sensitivity of the tactile sensor over a wide pressure range. Based on these mechanisms, various human movements over a broad pressure spectrum are monitored to investigate the practical usefulness of the sensor.
Transitioning towards human–robot synergy in agriculture: A systems thinking perspective
Authors: Aivazidou Eirini , Tsolakis Naoum 
Published: August 2022

AbstractDigital transformation has unveiled new prospects for increased performance and productivity in the agricultural sector to meet rising food security needs. Continuous industrialization and unexpected disruptions (e.g., workforce mobility restrictions due to the COVID‐19 pandemic) call for the adoption of agricultural robots. However, automated solutions could be associated with societal challenges in rural areas; unemployment growth has been perceived as a major threat that jeopardizes societal welfare, potentially hindering the implementation of digital technologies. In this context, human–robot synergistic systems could act as a promising socially viable alternative. Through systems thinking, this research investigates the complex interconnections and key feedback mechanisms of automation diffusion (conventional and human–robot interactive) under the socio‐economic perceptions (drivers and barriers) of agribusinesses and rural communities. Overall, this study contributes towards eliciting the mental models that underpin the transition from agricultural robots to human–robot collaboration by transforming automation‐related societal risks into opportunities for sustainable rural development.
Inequalities and the Social Process of Categorizing: Migrant Work in Argentina’s Garment Industry
Authors: Caggiano Sergio 
Published: August 2022

AbstractThis chapter discusses how migrant associations organize their demands and fight for their rights in contemporary Argentina. It looks at the ways in which social categories and social inequalities relate to each other or not in these settings. First, it examines the ways in which Bolivian migrant’s workers in the textiles factories of Buenos Aires debate around issues of class and/or nationality when it comes to organizing. Then, it looks at how other actors introduce different social categories such ethnicity, gender and age and organize themselves against issues of social inequality such as discrimination, exploitation or the lack of recognition. The chapter argues, on the one hand, that the entanglements of different social categories such as nationality, class, gender, ethnicity, and others, are constitutive of any category. And, on the other hand, that identifying the social inequalities at stake in any conflict over migrant’s rights allows for a better understanding of migrant organization’s dynamics. In sum, the paper shows that social categories and social inequalities cannot be studied separately when understanding migrant collective action.
Klimaanpassung im Mehr-Ebenen-System des Rechts
Authors: Saurer Johannes 
Published: August 2022

ZusammenfassungIm Zentrum der Rechtsentwicklung im Klimaschutzrecht steht aktuell die Mitigation, also die Verringerung
der Treibhausgasemissionen zur Stabilisierung der Erdatmosphäre. Es wird aber immer deutlicher, dass
auch die Adaptation, d.h. die Anpassung an die Folgen der anthropogenen Erderwärmung eine dauerhafte
Aufgabe des Rechts ist. Dieser Aufsatz untersucht im Überblick, in welchem Umfang sich auf den verschiedenen
Ebenen des Rechts bereits Regelungen zur Anpassung herausgebildet haben und welche weiteren Regelungen in
der rechtspolitischen Diskussion sind.
Review on Heteroatom Doping Carbonaceous Materials Toward Electrocatalytic Carbon Dioxide Reduction
Authors: Ji Youan , Du Juan , Chen Aibing 
Published: August 2022

AbstractCarbon dioxide (CO2) reduction into chemicals or fuels by electrocatalysis can effectively reduce greenhouse gas emissions and alleviate the energy crisis. Currently, CO2 electrocatalytic reduction (CO2RR) has been considered as an ideal way to achieve “carbon neutrality.” In CO2RR, the characteristics and properties of catalysts directly determine the reaction activity and selectivity of the catalytic process. Much attention has been paid to carbon-based catalysts because of their diversity, low cost, high availability, and high throughput. However, electrically neutral carbon atoms have no catalytic activity. Incorporating heteroatoms has become an effective strategy to control the catalytic activity of carbon-based materials. The doped carbon-based catalysts reported at present show excellent catalytic performance and application potential in CO2RR. Based on the type and quantity of heteroatoms doped into carbon-based catalysts, this review summarizes the performances and catalytic mechanisms of carbon-based materials doped with a single atom (including metal and without metal) and multi atoms (including metal and without metal) in CO2RR and reveals prospects for developing CO2 electroreduction in the future.
The latent structure of educational offerings—tracing topics from folk high school catalogues through large-scale content analyses
Authors: Nylander Erik , Holmer Daniel 
Published: August 2022

AbstractProgram analysis has been developing into a prolific research tradition illustrating the utility of adult education providers and program descriptions as heuristic objects for addressing larger questions of social scientific and humanistic inquiry. In this research tradition, attention has been directed to the way programs and educational offers of adult education providers reflect the changing labour market, educational systems and cultural zeitgeist. In this article, we interrogate the opportunities to deploy large-scale text analysis on the content of the national catalogues of Swedish folk high schools (1954–2007) to further enlarge the analytical depth and precision of how program analysis can address changing educational offerings. Based on an analysis of a comprehensive digital repository we identify the latent thematic structures of educational offers in Swedish folk high schools over time and discuss how these changing course descriptions reflect broader structural changes in its educational system as well as regarding the purpose of adult education.
Australian Psychologists Experiences with Digital Mental Health: a Qualitative Investigation
Authors: Scott Stephanie , Knott Vikki , Finlay-Jones Amy L. , Mancini Vincent O. 
Published: August 2022

AbstractDigital mental health is changing the landscape of service delivery by addressing challenges associated with traditional therapy. However, practitioners’ use of these resources remains underexamined. This study explored psychologists’ attitudes and experiences with digital mental health intervention. Taking a qualitative exploratory approach via thematic analysis, the study sought to answer the following research questions: (i) How do psychologists perceive digital mental health? and (ii) What is their experience using digital mental health as part of routine practice? Ten practising psychologists participated in online semi-structured interviews (approximately 50 min), with interviews then transcribed verbatim. Interview data were analysed according to the six-phase approach to thematic analysis proposed by Braun and Clarke. Three themes were identified: (1) attitudes towards digital mental health; (2) use within routine practice; and (3) perspectives on an effective model for implementation. Practitioners play a major role in the design and delivery of digital mental health services. Barriers and facilitators at the practitioner-level (e.g. knowledge and competence with tools, perceptions on the utility of digital interventions) and the service-level (e.g. government support for digital health) should be considered in the future design of digital mental health resources and service delivery.
600-MWe high-temperature gas-cooled reactor nuclear power plant HTR-PM600
Authors: Zhang Zuo-Yi , Dong Yu-Jie , Shi Qi , Li Fu , Wang Hai-Tao 
Published: August 2022

AbstractThe HTR-PM600 high-temperature gas-cooled reactor nuclear power plant is based on the technology of the high-temperature gas-cooled reactor pebble-bed module (HTR-PM) demonstration project. It utilizes proven HTR-PM reactor and steam generator modules with a thermal power of 250 MWth and power generation of approximately 100 MWe per module. Six modules in parallel, connected to a steam turbine, form a 600-MWe nuclear power plant. In addition, its system configuration in the nuclear island is identical to that of the HTR-PM in which the technical risks are minimized. Under this principle, the HTR-PM600 achieves the same level of inherent safety as the HTR-PM. The concept of a ventilated low-pressure containment (VLPC) is unchanged; however, a large circular VLPC accommodating all six reactor modules is adopted rather than the previous small-cavity-type VLPC, which contains only one module, as defined for the HTR-PM. The layout of the nuclear island and its associated systems refer to single-unit pressurized water reactor (PWR) practices. With this layout, the HTR-PM600 achieves a volume size of the nuclear island that is comparable to a domestic PWR of the same power level. This will be a Generation IV nuclear energy technology that is economically competitive.
Analysis of SLAM-Based Lidar Data Quality Metrics for Geotechnical Underground Monitoring
Authors: Fahle Lukas , Holley Elizabeth A. , Walton Gabriel , Petruska Andrew J. , Brune Jurgen F. 
Published: August 2022

AbstractAdverse ground behavior events, such as convergence and ground falls, pose critical risks to underground mine safety and productivity. Today, monitoring of such failures is primarily conducted using legacy techniques with low spatial and temporal resolution while exposing workers to hazardous environments. This study assesses the potential of novel simultaneous localization and mapping (SLAM)-based light detection and ranging (Lidar) data quality for rapid, digital, and eventually autonomous mine-wide underground geotechnical monitoring. We derive a comprehensive suite of quality metrics based on tests in two underground mines for two state-of-the-art mobile laser scanning (MLS) systems. Our results provide evidence that SLAM-based MLS provides data of the quality required to detect geotechnically relevant changes while being significantly more efficient for large mine layouts when compared to traditional static systems. Additionally, we show that SLAM-specific processing can achieve an order of magnitude better relative accuracy relevant for change detection than quality metrics derived from traditionally deployed tests would suggest while reducing SLAM drift error by up to 90%. In collaboration with an operating block cave mine, we confirm these capabilities in field tests on a mine-wide scale and, for the first time, demonstrate methods of rockfall detection using MLS data. While more work is required to investigate optimal collection, processing, and utilization of MLS data, we demonstrate its potential to become an effective and widely applicable data source for rapid, accurate, and comprehensive geotechnical inspections.
Solutions: how adaptive changes in cellular fluids enable marine life to cope with abiotic stressors
Authors: Somero George N. 
Published: August 2022

AbstractThe seas confront organisms with a suite of abiotic stressors that pose challenges for physiological activity. Variations in temperature, hydrostatic pressure, and salinity have potential to disrupt structures, and functions of all molecular systems on which life depends. During evolution, sequences of nucleic acids and proteins are adaptively modified to “fit” these macromolecules for function under the particular abiotic conditions of the habitat. Complementing these macromolecular adaptations are alterations in compositions of solutions that bathe macromolecules and affect stabilities of their higher order structures. A primary result of these “micromolecular” adaptations is preservation of optimal balances between conformational rigidity and flexibility of macromolecules. Micromolecular adaptations involve several families of organic osmolytes, with varying effects on macromolecular stability. A given type of osmolyte generally has similar effects on DNA, RNA, proteins and membranes; thus, adaptive regulation of cellular osmolyte pools has a global effect on macromolecules. These effects are mediated largely through influences of osmolytes and macromolecules on water structure and activity. Acclimatory micromolecular responses are often critical in enabling organisms to cope with environmental changes during their lifetimes, for example, during vertical migration in the water column. A species’ breadth of environmental tolerance may depend on how effectively it can vary the osmolyte composition of its cellular fluids in the face of stress. Micromolecular adaptations remain an under-appreciated aspect of evolution and acclimatization. Further study can lead to a better understanding of determinants of environmental tolerance ranges and to biotechnological advances in designing improved stabilizers for biological materials.
Meta-Analysis and Systematic Review of Resting-State High-Frequency	Heart Rate Variability in Binge-Eating Disorder
Authors: Christensen Kara A. , Feeling Nicole R. , Rienecke Renee D. 
Published: August 2022

Abstract. Binge-eating disorder (BED) is associated with a greater risk for cardiac problems and co-occurring health conditions. Resting-state measures of high-frequency heart rate variability (HF-HRV), which is a physiological proxy of self-regulatory neural functioning, may aid understanding of health risks. We systematically reviewed and meta-analyzed the literature on HF-HRV in individuals with BED and without BED. Six studies were reviewed in the qualitative synthesis, and five studies assessing HRV in individuals with BED ( n = 153) and without BED ( n = 124) were included in the meta-analysis. A non-significant effect size (Hedges’ g = .08, SE = 0.36, 95% CI [−0.62, 0.78]; z = 0.23, p = .82) was found, suggesting no difference in HF-HRV between groups. Age, BMI, and BMI-matched control status were not significant covariates. Synthesizing the five studies with available data, we found no difference in resting-state HF-HRV between individuals with and without BED. There was high heterogeneity in the sample, suggesting potential moderators. We discuss potential mechanisms, methodological and demographic confounds, and future directions for study.
Aeration strategy at birth does not impact carotid haemodynamics in preterm lambs
Authors: Dahm Sophia I. , Kenna Kelly R. , Stewart David , Pereira-Fantini Prue M. , McCall Karen E. , Perkins Elizabeth J , Sourial Magdy , Tingay David G. 
Published: August 2022

Abstract
Background
The impact of different respiratory strategies at birth on the preterm lung is well understood; however, concerns have been raised that lung recruitment may impede cerebral haemodynamics. This study aims to examine the effect of three different ventilation strategies on carotid blood flow, carotid artery oxygen content and carotid oxygen delivery.

Methods
124–127-day gestation apnoeic intubated preterm lambs studied as part of a larger programme primarily assessing lung injury were randomised to positive pressure ventilation with positive end-expiratory pressure (PEEP) 8 cmH2O (No-RM; n = 12), sustained inflation (SI; n = 15) or dynamic PEEP strategy (DynPEEP; maximum PEEP 14 or 20 cmH2O, n = 41) at birth, followed by 90 min of standardised ventilation. Haemodynamic data were continuously recorded, with intermittent arterial blood gas analysis.

Results
Overall carotid blood flow measures were comparable between strategies. Except for mean carotid blood flow that was significantly lower for the SI group compared to the No-RM and DynPEEP groups over the first 3 min (p < 0.0001, mixed effects model). Carotid oxygen content and oxygen delivery were similar between strategies. Maximum PEEP level did not alter cerebral haemodynamic measures.

Conclusions
Although there were some short-term variations in cerebral haemodynamics between different PEEP strategies and SI, these were not sustained.

Impact

Different pressure strategies to facilitate lung aeration at birth in preterm infants have been proposed. There is minimal information on the effect of lung recruitment on cerebral haemodynamics.

This is the first study that compares the effect of sustained lung inflation and dynamic and static positive end-expiratory pressure on cerebral haemodynamics.

We found that the different ventilation strategies did not alter carotid blood flow, carotid oxygen content or carotid oxygen delivery.

This preclinical study provides some reassurance that respiratory strategies designed to focus on lung aeration at birth may not impact cerebral haemodynamics in preterm neonates.
Metaproteome plasticity sheds light on the ecology of the rumen microbiome and its connection to host traits
Authors: Sasson Goor , Moraïs Sarah , Kokou Fotini , Plate Kristina , Trautwein-Schult Anke , Jami Elie , Bayer Edward A , Becher Dörte , Mizrahi Itzhak 
Published: August 2022

Abstract
The arsenal of genes that microbes express reflect the way in which they sense their environment. We have previously reported that the rumen microbiome composition and its coding capacity are different in animals having distinct feed efficiency states, even when fed an identical diet. Here, we reveal that many microbial populations belonging to the bacteria and archaea domains show divergent proteome production in function of the feed efficiency state. Thus, proteomic data serve as a strong indicator of host feed efficiency state phenotype, overpowering predictions based on genomic and taxonomic information. We highlight protein production of specific phylogenies associated with each of the feed efficiency states. We also find remarkable plasticity of the proteome both in the individual population and at the community level, driven by niche partitioning and competition. These mechanisms result in protein production patterns that exhibit functional redundancy and checkerboard distribution that are tightly linked to the host feed efficiency phenotype. By linking microbial protein production and the ecological mechanisms that act within the microbiome feed efficiency states, our present work reveals a layer of complexity that bears immense importance to the current global challenges of food security and sustainability.
γ-secretase inhibitors augment efficacy of BCMA-targeting bispecific antibodies against multiple myeloma cells without impairing T-cell activation and differentiation
Authors: Chen Hailin , Yu Tengteng , Lin Liang , Xing Lijie , Cho Shih-Feng , Wen Kenneth , Aardalen Kimberly , Oka Adwait , Lam Joni , Daley Mike , Lu Haihui , Munshi Nikhil , Anderson Kenneth C. , Tai Yu-Tzu 
Published: August 2022

AbstractWe here defined the impacts of γ-secretase inhibitors (GSIs) on T-cell-dependent BCMA-specific multiple myeloma (MM) cell lysis and immunomodulatory effects induced by bispecific antibodies (BisAbs). GSIs-induced membrane BCMA (mBCMA) accumulation reached near maximum within 4 h and sustained over 42h-study period on MM cell lines and patient MM cells. GSIs, i.e., 2 nM LY-411575 or 1 μM DAPT, robustly increased mBCMA densities on CD138+ but not CD3+ patient cells, concomitantly with minimum soluble/shed BCMA (sBCMA) in 1 day-culture supernatants. In ex vivo MM-T-cell co-cultures, GSIs overcame sBCMA-inhibited MM cell lysis and further enhanced autologous patient MM cell lysis induced by BCMAxCD3 BisAbs, accompanied by significantly enhanced cytolytic markers (CD107a, IFNγ, IL2, and TNFα) in patient T cells. In longer 7 day-co-cultures, LY-411575 minimally affected BCMAxCD3 BisAb (PL33)-induced transient expression of checkpoint (PD1, TIGIT, TIM3, LAG3) and co-stimulatory (41BB, CD28) proteins, as well as time-dependent increases in % effector memory/central memory subsets and CD8/CD4 ratios in patient T cells. Importantly, LY41157 rapidly cleared sBCMA from circulation of MM-bearing NSG mice reconstituted with human T cells and significantly enhanced anti-MM efficacy of PL33 with prolonged host survival. Taken together, these results further support ongoing combination BCMA-targeting immunotherapies with GSI clinical studies to improve patient outcome.