bluuebunny/crossref_metadata_2025_split huggingface dataset:
Voting against Women: Political Patriarchy, Islam, and Representation in Indonesia
Authors: White Sally , Warburton Eve , Pramashavira  , Hendrawan Adrianus , Aspinall Edward 
Published: December 2023

AbstractWe examine cultural and ideological barriers to gender equality in a young democracy, Indonesia, where women’s political representation has increased slowly since democratization, but where survey results point to declining support for women’s political leadership. In both country and comparative literature, the effect of ideological factors—including religion—on voter support for women candidates is contested. Using results of a nationally representative survey, we group respondents according to a “political patriarchy” index. We find that being a Muslim is a strong predictor of holding patriarchal attitudes; university education is associated with gender-egalitarian views. Patriarchal views, in turn, are associated with opposition to increasing Indonesia’s gender quota and with lower levels of self-reported voting for female candidates. Our findings suggest that patriarchal attitudes drive both policy preferences and voter behavior. We conclude that Indonesia’s recent conservative Islamic turn likely underpins widespread—and increasing—opposition to gender equality in politics.
Schoolhouse Rocked: Pandemic Politics and the Nationalization of School Board Elections
Authors: Shah Paru , Weinschenk Aaron , Yiannias Zach 
Published: December 2023

AbstractWe examine the influence of national politics and changing racial demographics on school board elections. We identify the districts where candidates campaigned on Critical Race Theory, COVID response, or parent control/transparency (what we call “conflict elections”) and examine two related questions. First, what characteristics define school districts that had elections involving these issues? Second, in the places that had conflict elections, how frequently did “conflict candidates” win, and what factors influenced their odds of winning? Utilizing a unique dataset of all school board elections in Wisconsin in 2022, we find that Republican presidential vote share is positively related to both the probability that a school district had a conflict election and that a conflict candidate won. We also find that in communities where the white population declined between 2010 and 2020, there was a higher likelihood that a conflict candidate won compared to communities where the size of the white population grew. Overall, our analysis confirms that school board elections are increasingly mirroring nationalized trends in other elections.
XStorm: A New Gamma Ray Spectrometer for Detection of Close Proximity Gamma Ray Glows and TGFs
Authors: Pallu Melody , Celestin Sebastien , Hazem Yanis , Trompier François , Patton Gaël 
Published: December 2023

AbstractIn this paper, we present XStorm, a gamma ray spectrometer developed to detect gamma ray glows and terrestrial gamma ray flashes (TGFs) in close proximity. Measurements are mostly planned to take place on balloon campaigns but also on the ground using bigger detectors. The main aim in developing XStorm is to perform new in situ and close proximity measurements of those events to improve the understanding of the physical processes involved. For that, we ensured XStorm reached performances adapted to glow and TGF detections. It detects photons with energy between ∼400 keV and ∼20 MeV. Detected particles are timetagged with a 600 ns precision with respect to UTC. Using two types of scintillator, Bismuth Germanium Oxide and EJ‐276 plastic associated with SiPMs, the instrument is able to discriminate three types of particles involved in those events: photons, neutrons, and electrons. The behavior of the detector under high particle fluxes has been quantified through ground testing using a pulse generator. A triggered detection system has been developed, with different thresholds depending on the target of study. First measurements have been carried out with test flights in fair weather conditions and are presented here. Estimations of the configurations in which a gamma ray glow can be detected by XStorm and of the number of TGFs that could be detected in specific campaigns are also addressed.
Revisiting the Link Between Thunderstorms and Upper Tropospheric Water Vapor
Authors: Price Colin , Plotnik Tair , Saha Joydeb , Guha Anirban 
Published: December 2023

AbstractAs the Earth's temperatures continue to rise due to increasing greenhouse gases in the atmosphere, a large portion of the warming is due to positive feedbacks from increasing atmospheric water vapor or specific humidity (SH). Some of this water vapor in the boundary layer is transported via deep convection to the upper troposphere (as droplets and ice crystals), moistening the upper troposphere. These small changes in SH in the upper troposphere have a significant impact on the Earth's radiation balance. We compared global daily lightning from the WWLLN data set, and SH data from the ERA5 reanalysis product for 2019, at a spatial resolution of 5°. Our findings show high spatial and temporal correlations between the lightning activity and the SH concentrations in the upper troposphere. The best correlations (r2 = 0.72, p << 0.001) are between lightning activity and UTWV at the 200 mb level (∼12 km altitude), although the correlations with SH at 300 and 400 mb were only slightly lower. Lightning and SH migrate with the seasons north and south of the equator with both parameters showing maxima in the summer hemisphere around 10° latitude. Furthermore, the correlation increases slightly (r2 = 0.73) if a 1‐day lag is considered between the lightning activity and the UTWV. We find that the daily global SH in the upper troposphere can be best estimated using daily global lightning frequency and a power law having an exponent of 0.33.
Validation of plasma protein glycation and oxidation biomarkers for the diagnosis of autism
Authors: Al-Saei Aisha Nasser J. M. , Nour-Eldine Wared , Rajpoot Kashif , Arshad Noman , Al-Shammari Abeer R. , Kamal Madeeha , Akil Ammira Al-Shabeeb , Fakhro Khalid A. , Thornalley Paul J. , Rabbani Naila 
Published: December 2023

AbstractAutism Spectrum Disorder (ASD) is a common neurodevelopmental disorder in children. It is currently diagnosed by behaviour-based assessments made by observation and interview. In 2018 we reported a discovery study of a blood biomarker diagnostic test for ASD based on a combination of four plasma protein glycation and oxidation adducts. The test had 88% accuracy in children 5–12 years old. Herein, we present an international multicenter clinical validation study (N = 478) with application of similar biomarkers to a wider age range of 1.5–12 years old children. Three hundred and eleven children with ASD (247 male, 64 female; age 5.2 ± 3.0 years) and 167 children with typical development (94 male, 73 female; 4.9 ± 2.4 years) were recruited for this study at Sidra Medicine and Hamad Medical Corporation hospitals, Qatar, and Hospital Regional Universitario de Málaga, Spain. For subjects 5–12 years old, the diagnostic algorithm with features, advanced glycation endproducts (AGEs)—Nε-carboxymethyl-lysine (CML), Nω-carboxymethylarginine (CMA) and 3-deoxyglucosone-derived hydroimidazolone (3DG-H), and oxidative damage marker, o,o’-dityrosine (DT), age and gender had accuracy 83% (CI 79 – 89%), sensitivity 94% (CI 90–98%), specificity 67% (CI 57–76%) and area-under-the-curve of receiver operating characteristic plot (AUROC) 0.87 (CI 0.84–0.90). Inclusion of additional plasma protein glycation and oxidation adducts increased the specificity to 74%. An algorithm with 12 plasma protein glycation and oxidation adduct features was optimum for children of 1.5–12 years old: accuracy 74% (CI 70–79%), sensitivity 75% (CI 63–87%), specificity 74% (CI 58–90%) and AUROC 0.79 (CI 0.74–0.84). We conclude that ASD diagnosis may be supported using an algorithm with features of plasma protein CML, CMA, 3DG-H and DT in 5–12 years-old children, and an algorithm with additional features applicable for ASD screening in younger children. ASD severity, as assessed by ADOS-2 score, correlated positively with plasma protein glycation adducts derived from methylglyoxal, hydroimidazolone MG-H1 and Nε(1-carboxyethyl)lysine (CEL). The successful validation herein may indicate that the algorithm modifiable features are mechanistic risk markers linking ASD to increased lipid peroxidation, neuronal plasticity and proteotoxic stress.
Squaramides enhance NLRP3 inflammasome activation by lowering intracellular potassium
Authors: Seoane Paula I. , Beswick James A. , Leach Andrew G. , Swanton Tessa , Morris Lucy V. , Couper Kevin , Lowe Martin , Freeman Sally , Brough David 
Published: December 2023

AbstractThe NLRP3 inflammasome is a component of the inflammatory response to infection and injury, orchestrating the maturation and release of the pro-inflammatory cytokines interleukin-1β (IL-1β), IL-18, and triggering pyroptotic cell death. Appropriate levels of NLRP3 activation are needed to avoid excessive tissue damage while ensuring host protection. Here we report a role for symmetrical diarylsquaramides as selective K+ efflux-dependent NLRP3 inflammasome enhancers. Treatment of macrophages with squaramides potentiated IL-1β secretion and ASC speck formation in response to K+ efflux-dependent NLRP3 inflammasome activators without affecting priming, endosome cargo trafficking, or activation of other inflammasomes. The squaramides lowered intracellular K+ concentration which enabled cells to respond to a below-threshold dose of the inflammasome activator nigericin. Taken together these data further highlight the role of ion flux in inflammasome activation and squaramides as an interesting platform for therapeutic development in conditions where enhanced NLRP3 activity could be beneficial.
Highly responsive diabetes and asthma sensors with WO3 nanoneedle films for the detection of biogases with low concentrations
Authors: Masuda Yoshitake , Uozumi Ayako 
Published: December 2023

AbstractA diabetes sensor was developed to detect low concentrations of acetone gas, which is a diabetes biomarker. A WO3 nanoneedle film was synthesized via an aqueous process for use as a sensitive sensing membrane. Acetone was adsorbed and oxidized on the WO3 nanoneedle film, which changed the sensor resistance. The sensor exhibited a high response of Ra/Rg = 19.72, where Ra is the sensor resistance in air, and Rg is the sensor resistance in air containing 10 ppmv acetone gas. The sensor also exhibited a high response (25.36) to 1 ppmv NO2, which is related to asthma. Furthermore, the sensor responded to various biogases associated with diseases. The sensor responses to 10 ppmv of the lung cancer marker gases acetaldehyde and toluene were 13.54 and 9.49, respectively. The sensor responses to 10 ppmv isoprene, ethanol, para-xylene, hydrogen, and NH3 were 7.93, 6.33, 4.51, 2.08, and 0.90, respectively. Trace amounts of acetone and NO2 gases (25 and 250 ppbv, respectively) were detected. The limits of detection for acetone and NO2 gases were estimated to be 2.4 and 1.5 ppbv, respectively. The sensor exhibited superior ability to detect low concentrations of biomarker gases. The unique characteristics of the WO3 nanoneedle film contributed to its high response rates.
Octopus-inspired deception and signaling systems from an exceptionally-stable acene variant
Authors: Pratakshya Preeta , Xu Chengyi , Dibble David J. , Mukazhanova Aliya , Liu Panyiming , Burke Anthony M. , Kurakake Reina , Lopez Robert , Dennison Philip R. , Sharifzadeh Sahar , Gorodetsky Alon A. 
Published: December 2023

AbstractMultifunctional platforms that can dynamically modulate their color and appearance have attracted attention for applications as varied as displays, signaling, camouflage, anti-counterfeiting, sensing, biomedical imaging, energy conservation, and robotics. Within this context, the development of camouflage systems with tunable spectroscopic and fluorescent properties that span the ultraviolet, visible, and near-infrared spectral regions has remained exceedingly challenging because of frequently competing materials and device design requirements. Herein, we draw inspiration from the unique blue rings of the Hapalochlaena lunulata octopus for the development of deception and signaling systems that resolve these critical challenges. As the active material, our actuator-type systems incorporate a readily-prepared and easily-processable nonacene-like molecule with an ambient-atmosphere stability that exceeds the state-of-the-art for comparable acenes by orders of magnitude. Devices from this active material feature a powerful and unique combination of advantages, including straightforward benchtop fabrication, competitive baseline performance metrics, robustness during cycling with the capacity for autonomous self-repair, and multiple dynamic multispectral operating modes. When considered together, the described exciting discoveries point to new scientific and technological opportunities in the areas of functional organic materials, reconfigurable soft actuators, and adaptive photonic systems.
Characterizations of a neutralizing antibody broadly reactive to multiple gluten peptide:HLA-DQ2.5 complexes in the context of celiac disease
Authors: Okura Yuu , Ikawa-Teranishi Yuri , Mizoroki Akihiko , Takahashi Noriyuki , Tsushima Takashi , Irie Machiko , Harfuddin Zulkarnain , Miura-Okuda Momoko , Ito Shunsuke , Nakamura Genki , Takesue Hiroaki , Ozono Yui , Nishihara Masamichi , Yamada Kenta , Gan Siok Wan , Hayasaka Akira , Ishii Shinya , Wakabayashi Tetsuya , Muraoka Masaru , Nagaya Nishiki , Hino Hiroshi , Nemoto Takayuki , Kuramochi Taichi , Torizawa Takuya , Shimada Hideaki , Kitazawa Takehisa , Okazaki Makoto , Nezu Junichi , Sollid Ludvig M. , Igawa Tomoyuki 
Published: December 2023

AbstractIn human celiac disease (CeD) HLA-DQ2.5 presents gluten peptides to antigen-specific CD4+ T cells, thereby instigating immune activation and enteropathy. Targeting HLA-DQ2.5 with neutralizing antibody for treating CeD may be plausible, yet using pan-HLA-DQ antibody risks affecting systemic immunity, while targeting selected gluten peptide:HLA-DQ2.5 complex (pHLA-DQ2.5) may be insufficient. Here we generate a TCR-like, neutralizing antibody (DONQ52) that broadly recognizes more than twenty-five distinct gluten pHLA-DQ2.5 through rabbit immunization with multi-epitope gluten pHLA-DQ2.5 and multidimensional optimization. Structural analyses show that the proline-rich and glutamine-rich motif of gluten epitopes critical for pathogenesis is flexibly recognized by multiple tyrosine residues present in the antibody paratope, implicating the mechanisms for the broad reactivity. In HLA-DQ2.5 transgenic mice, DONQ52 demonstrates favorable pharmacokinetics with high subcutaneous bioavailability, and blocks immunity to gluten while not affecting systemic immunity. Our results thus provide a rationale for clinical testing of DONQ52 in CeD.
Application of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in glioblastomas
Authors: Tillmanns Niklas , Lost Jan , Tabor Joanna , Vasandani Sagar , Vetsa Shaurey , Marianayagam Neelan , Yalcin Kanat , Erson-Omay E. Zeynep , von Reppert Marc , Jekel Leon , Merkaj Sara , Ramakrishnan Divya , Avesta Arman , de Oliveira Santo Irene Dixe , Jin Lan , Huttner Anita , Bousabarah Khaled , Ikuta Ichiro , Lin MingDe , Aneja Sanjay , Turowski Bernd , Aboian Mariam , Moliterno Jennifer 
Published: December 2023

AbstractGliomas with CDKN2A mutations are known to have worse prognosis but imaging features of these gliomas are unknown. Our goal is to identify CDKN2A specific qualitative imaging biomarkers in glioblastomas using a new informatics workflow that enables rapid analysis of qualitative imaging features with Visually AcceSAble Rembrandtr Images (VASARI) for large datasets in PACS. Sixty nine patients undergoing GBM resection with CDKN2A status determined by whole-exome sequencing were included. GBMs on magnetic resonance images were automatically 3D segmented using deep learning algorithms incorporated within PACS. VASARI features were assessed using FHIR forms integrated within PACS. GBMs without CDKN2A alterations were significantly larger (64 vs. 30%, p = 0.007) compared to tumors with homozygous deletion (HOMDEL) and heterozygous loss (HETLOSS). Lesions larger than 8 cm were four times more likely to have no CDKN2A alteration (OR: 4.3; 95% CI 1.5–12.1; p < 0.001). We developed a novel integrated PACS informatics platform for the assessment of GBM molecular subtypes and show that tumors with HOMDEL are more likely to have radiographic evidence of pial invasion and less likely to have deep white matter invasion or subependymal invasion. These imaging features may allow noninvasive identification of CDKN2A allele status.
Fight COVID Milwaukee protective behaviors and risk communications associated with the COVID-19 pandemic
Authors: Titi Mohammad , Keval Aliyah , Martinez Emma , Dickson-Gomez Julia , Young Staci , Meurer John 
Published: December 2023

AbstractThe COVID-19 pandemic has had a major impact on society, causing significant disruptions to everyday life. Risk communication strategies can play an important role in risk management as they allow individuals to prepare for and respond to public health emergencies appropriately. The aim of this study is to investigate public risk behaviors, perceptions of risk and risk communication, and experiences with COVID-19 to better understand the impact of COVID-19 on our community and to better inform public health decisions about communicating and reducing personal risk. Nine virtual focus groups were conducted with 79 residents of Milwaukee County. Audio transcripts of focus group recordings were qualitatively analyzed using MAXQDA. Predominant themes identified include public risk protective behaviors, the emotional toll associated with lockdown measures, and risk communication. Our findings provide a better understanding of how adults, African American and Hispanic groups in particular, viewed the risk communications and protective behaviors associated with COVID-19, how their lives were impacted by the pandemic, and how to effectively communicate public information about personal risk. These findings can help guide risk communication efforts and public health policy interventions for potential infection outbreaks in the future.
Factors associated with increased risk of playing-related disorders among classical music students within the Risk of Music Students (RISMUS) longitudinal study
Authors: Cruder Cinzia , Soldini Emiliano , Gleeson Nigel , Barbero Marco 
Published: December 2023

AbstractPlaying-related musculoskeletal disorders (PRMDs) are common among musicians but longitudinal data on risk factors are limited. The aim of the study was to longitudinally identify the factors associated with increased risk of PRMD onset among music students enrolled in different pan-European music institutions. A further goal was to assess the occurrence of PRMDs during a 12-month period. A total of 442 students without PRMDs from 56 European music universities completed a web-based questionnaire on lifestyle and practice habits, health history, physical activity, psychological distress, perfectionism, and fatigue. PRMD onset was assessed prospectively at 6 and 12 months. Logistic regression analysis showed that changes in physical activity level (6-month AOR = 2.343, 12-month AOR = 2.346), increased levels of fatigue (6-month AOR = 1.084, 12-month AOR = 1.081) and socially-prescribed perfectionism (6-month AOR = 1.102) were significantly associated with PRMD onset, which had occurred in 49% of participants during 12 months. Musculoskeletal complaints reported at baseline (6-month AOR = 0.145, 12-month AOR = 0.441) and changes to BMI (12-month AOR = 0.663) limited the onset of PRMDs. The study’s novel longitudinal findings were appraised critically within the contexts of potential factors for PRMD onset and evidence-based preventive strategies to minimise the impact of PRMDs.
ENHANCE proof-of-concept three-arm randomized trial: effects of reaching training of the hemiparetic upper limb restricted to the spasticity-free elbow range
Authors: Levin Mindy F. , Berman Sigal , Weiss Neta , Parmet Yisrael , Baniña Melanie C. , Frenkel-Toledo Silvi , Soroker Nachum , Solomon John M. , Liebermann Dario G. 
Published: December 2023

AbstractPost-stroke motor recovery processes remain unknown. Timescales and patterns of upper-limb (UL) recovery suggest a major impact of biological factors, with modest contributions from rehabilitation. We assessed a novel impairment-based training motivated by motor control theory where reaching occurs within the spasticity-free elbow range. Patients with subacute stroke (≤ 6 month; n = 46) and elbow flexor spasticity were randomly allocated to a 10-day UL training protocol, either personalized by restricting reaching to the spasticity-free elbow range defined by the tonic stretch reflex threshold (TSRT) or non-personalized (non-restricted) and with/without anodal transcranial direct current stimulation. Outcomes assessed before, after, and 1 month post-intervention were elbow flexor TSRT angle and reach-to-grasp arm kinematics (primary) and stretch reflex velocity sensitivity, clinical impairment, and activity (secondary). Results were analyzed for 3 groups as well as those of the effects of impairment-based training. Clinical measures improved in both groups. Spasticity-free range training resulted in faster and smoother reaches, smaller (i.e., better) arm-plane path length, and closer-to-normal shoulder/elbow movement patterns. Non-personalized training improved clinical scores without improving arm kinematics, suggesting that clinical measures do not account for movement quality. Impairment-based training within a spasticity-free elbow range is promising since it may improve clinical scores together with arm movement quality.Clinical Trial Registration: URL: http://www.clinicaltrials.gov. Unique Identifier: NCT02725853; Initial registration date: 01/04/2016.
A roadmap to define and select aquatic biological traits at different scales of analysis
Authors: Morim Teófilo , Henriques Sofia , Vasconcelos Rita , Dolbeth Marina 
Published: December 2023

AbstractTrait-based approaches are a powerful tool, as they not only improve understanding of ecological complexity and functioning but also allow comparison across different ecosystems and biogeographical regions. They may be used to unveil ecosystem processes and assess community structures, but their great potential becomes limited when dealing with scattered trait data and historically unstandardised trait nomenclature. The lack of standardisation allows authors to use the terminology of their preference, which inevitably leads to ambiguous misunderstandings and limits comparison between different studies. There have been some attempts to organise the trait vocabulary, but even these are mostly created from the perspective of a single ecosystem, which limits their applicability. In this work, we conducted a systematic literature review that identified and compiled 1127 traits across 37 datasets of fishes, invertebrates and zooplankton from freshwater, marine and transitional ecosystems. This dataset was then used to build on the Marine Species Traits Wiki and to propose a new, unified approach to a trait vocabulary based directly on readily available trait data. We propose a single standardised designation for all the different traits identified and provide a list of all the different synonyms commonly used for these traits. A roadmap to help the trait selection process is also provided, offering a guide through four main steps and important questions for choosing an adequate set of traits at the beginning of any study, which constitutes one of the main challenges in functional ecology research. Overall, this proposal will provide a solid baseline for tackling gaps in trait nomenclature and ensuring a clearer future for functional ecology studies.