bluuebunny/crossref_metadata_2025_split huggingface dataset:
Muslim Women Against Feminism: The Family Love Alliance (Aliansi Cinta Keluarga) and Its Impact on Women's and Sexual Rights in Contemporary Indonesia
Authors: Sya'rani Afifur Rochman 
Published: July 2023

AbstractThis article discusses how Islamic conservatism has affected public discourse and policymaking on gender and sexuality and its impact on the struggle for gender equality and sexual rights in contemporary Indonesia. It particularly seeks to examine and analyse how Muslim women in the Family Love Alliance produced a counter-discourse against feminism in their struggle to oppose the ratification of the sexual violence eradication bill. While research on Islam and gender in Indonesia has primarily focused on Islamic feminism, little research has addressed the counter-discourse against Islamic feminism produced by Muslim women and how this might influence ideas of and advocacy for women's rights and gender equality. Some scholars on Indonesian Islam have also argued that rising Islamism has turned the country more religiously conservative. However, scholarly understanding of the relationship between Islamic conservatism and gender remains limited. Drawing on my fieldwork in 2018 and 2019 and informed by social movement theory, this study captures how AILA women activists represent a conservative Islamic backlash against gender equality movements in contemporary Indonesia's public sphere.
First Light Demonstration of Red Solar Induced Fluorescence for Harmful Algal Bloom Monitoring
Authors: Luis Kelly , Köhler Philipp , Frankenberg Christian , Gierach Michelle 
Published: July 2023

AbstractThe risks harmful algal blooms (HAB) pose to aquatic ecosystems, public health, and coastal economies necessitate supplementation of current observation strategies. Herein, we explore the use of red solar induced fluorescence (SIF) from the TROPOspheric Monitoring Instrument (TROPOMI), a remote sensing measurement retrievable in variable cloud conditions, for Karenia brevis detection. Along the West Florida Shelf from 2018 to 2020, we compare red SIF with normalized fluorescence line height (nFLH) from MODIS‐Aqua, a standard remote sensing HAB indicator limited to clear sky days. A strong positive linear relationship is found between nFLH and red SIF during severe bloom conditions in 2018 (N = 33,376, r‐value = 0.79, R2 = 0.63) permitting direct comparison. Red SIF provided nearly double the amount of spatiotemporal fluorescence information than nFLH. This work presents the first application of TROPOMI's red SIF for HAB monitoring and illuminates an approach for bolstering early warning systems for HABs beyond clear sky conditions.
Projected Changes in Hot, Dry, and Compound Hot‐Dry Extremes Over Global Land Regions
Authors: De Luca Paolo , Donat Markus G. 
Published: July 2023

AbstractThe impacts of hot, dry, and compound hot‐dry extremes are significant for societies, economies, and ecosystems worldwide. Such events therefore need to be assessed in the light of anthropogenic climate change so that suitable adaptation measures can be implemented by governments and stakeholders. Here we show a comprehensive analysis of hot, dry, and compound hot‐dry extremes over global land regions using 25 Coupled Model Intercomparison Project Phase 6 models and four future emissions scenarios from 1950 to 2100. Hot, dry, and compound hot‐dry extremes are projected to increase over large parts of the globe by the end of the 21st century. Hot and compound hot‐dry extremes show the most widespread increases and dry extreme changes are sensitive to the index used. Many regional changes depend on the strength of greenhouse‐gas forcing, which highlights the potential to limit the changes with strong mitigation efforts.
CO2 Consumption Rates in the Glacierized Himalayan Headwaters: The Importance of Sulfuric and Nitric Acid‐Mediated Chemical Weathering Reactions in Geologic Carbon Cycle
Authors: Roy Nita , Sen Indra S. 
Published: July 2023

AbstractSilicate and carbonate weathering reactions consume atmospheric CO2 depending on the type of weathering agents, namely carbonic (H2CO3), sulfuric (H2SO4), and nitric acids (HNO3), and have potential climate implications. However, the importance of HNO3 in weathering processes in the Himalayan glacierized basins has not been examined yet but is critical to better constrain the concomitant short (<103 years) and long‐term (>106 years) variability in the carbon cycle as it can drive negative feedback to a climate. By analyzing time‐series hydro‐geochemical data of proglacial meltwater in the Ganga headwaters of Central Himalaya, we demonstrate that the weathering rate of carbonate minerals is increased 1.06 times when the role of HNO3 is considered together with H2CO3 and H2SO4 in comparison to the role of H2CO3 and H2SO4. However, we also observe that the CO2 drawdown rate decreases 1.13 times and 1.06 times when the role of all three acids is considered in silicate and carbonate weathering reactions, respectively, compared to the CO2 drawdown rates linked to the role of H2CO3 and H2SO4. Moreover, the involvement of HNO3 in chemical weathering can reduce the inorganic global carbon sink by releasing CO2 into the ocean‐atmosphere system. We conclude that HNO3‐mediated chemical weathering reactions are important processes that alter the geologic carbon cycle of high‐altitude glacierized Himalayan catchments as well as on a global scale.
Water Level in Observation Wells Simulated From Fracture and Matrix Water Heads Outputted by Dual‐Continuum Hydrogeological Models: POWeR‐FADS
Authors: Jeannot B. , Schaper L. , Habets F. 
Published: July 2023

AbstractDo observation wells in fractured porous aquifers measure water head in the fracture network, water head in the matrix, or some combination of both? This question necessarily arises when calibrating dual‐continuum hydrogeological models against on‐field data. One can assume that observation wells measure fracture water head, because matrix permeability is negligible compared to fracture permeability. Nevertheless, this reasoning is invalid for wells poorly‐connected to the fractures. Yet, the possibility of such a poor connection at given depths has never been implemented in a physics‐based manner when comparing matrix and fracture water heads simulated by dual‐continuum models to on‐field data. To fill this knowledge gap, a physically based, easy to calibrate, open‐source postprocessing tool, POWeR‐FADS (Program for Observation Well Representation in Fractured Aquifer Dual‐continuum Simulations), available at https://github.com/BJeannot1/POWeR-FADS, has been developed. It introduces as parameters well geometry and the altitude of lowest interception of the fractures by the well. From these, POWeR‐FADS nonintrusively postprocesses time series of matrix and fracture water heads at the well, as simulated by any planar, bidimensional dual‐continuum hydrogeological model, to calculate water exchanges involving the observation well and thus the evolution of water level in the well. Synthetic test cases show that POWeR‐FADS makes it possible to simulate peculiar behaviors that are similar to patterns actually observed by the authors in on‐site observation wells of a fractured porous aquifer, like “floors” in observed water levels, delayed but sharp rises at the beginning of recharge events, or inflexion points accelerating the drawdown velocity during the recession phase.
Dense 4D nanoscale reconstruction of living brain tissue
Authors: Velicky Philipp , Miguel Eder , Michalska Julia M. , Lyudchik Julia , Wei Donglai , Lin Zudi , Watson Jake F. , Troidl Jakob , Beyer Johanna , Ben-Simon Yoav , Sommer Christoph , Jahr Wiebke , Cenameri Alban , Broichhagen Johannes , Grant Seth G. N. , Jonas Peter , Novarino Gaia , Pfister Hanspeter , Bickel Bernd , Danzl Johann G. 
Published: July 2023

AbstractThree-dimensional (3D) reconstruction of living brain tissue down to an individual synapse level would create opportunities for decoding the dynamics and structure–function relationships of the brain’s complex and dense information processing network; however, this has been hindered by insufficient 3D resolution, inadequate signal-to-noise ratio and prohibitive light burden in optical imaging, whereas electron microscopy is inherently static. Here we solved these challenges by developing an integrated optical/machine-learning technology, LIONESS (live information-optimized nanoscopy enabling saturated segmentation). This leverages optical modifications to stimulated emission depletion microscopy in comprehensively, extracellularly labeled tissue and previous information on sample structure via machine learning to simultaneously achieve isotropic super-resolution, high signal-to-noise ratio and compatibility with living tissue. This allows dense deep-learning-based instance segmentation and 3D reconstruction at a synapse level, incorporating molecular, activity and morphodynamic information. LIONESS opens up avenues for studying the dynamic functional (nano-)architecture of living brain tissue.
Personal protective equipment waste management behavior of undergraduates in Xi'an City based on extended theory of value-identity-personal norm model
Authors: Li Ting , Xu Ting , Liang Yan , Luo Wei , Zhang Jin 
Published: July 2023

AbstractThe COVID-19 pandemic has changed people’s lives, with the most prominent change being the use of Personal Protective Equipment (PPE). In this study, we used the extended Value-Identity-Personal (VIP) norm model to empirically analyze the influencing factors of Pro-Environmental Behavior (PEB) among college students in Xi 'an, China, while considering the usage of PPE as an example of PEB. We proposed nine hypothetical questions, and the VIP model was established through the SmartPLS software to test the valid questionnaires of 414 college students. The verification results indicated that all the nine hypotheses were supported statistically, with personal environmental social responsibility and personal norms showing the most significant direct impact on PEB; notably, personal norms were also strongly influenced by environmental personal social responsibility. Biosphere values affected PEB indirectly, through self-identity and individual norms. This study proposes viable countermeasures and suggestions for college students to improve PEB; our findings can serve as a reference for policymakers and stakeholders to ensure the effective waste management of personal safety equipment.
Efficacy of vitrectomy with air tamponade for rhegmatogenous retinal detachment: a prospective study
Authors: Nishi Katsuhiro , Nakamura Madoka , Nishitsuka Koichi 
Published: July 2023

AbstractRhegmatogenous retinal detachment (RRD) causes a permanent decrease in visual acuity and visual field. During pars plana vitrectomy (PPV) for RRD, long acting gas have been selected for tamponade because gas stays in the eye for a long time. Recently, several studies have showed the efficacy of air tamponade for RRD treatment. Few prospective studies have analyzed the efficacy of air tamponade. We registered 194 eyes from 190 patients who consented to a prospective study of PPV with air tamponade for RRD by a single surgeon from June 2019 to November 2022. These patients were all treated with air tamponade without silicone oil and were followed for > 3 months postoperatively. Primary success rates were 97.9% (190/194) in total cases, with no discernible difference between the uncomplicated (100%:87/87) and complicated (96.3%: 103/107) RRD groups (P = 0.13). There was no considerable difference in primary success rate between upper break (97.9%:143/146) and lower break cases (97.9%:47/48). Proliferative vitreoretinopathy (PVR) grade C was associated with initial failure by multivariate analysis (P = 0.00003). Air tamponade has a sufficient therapeutic effect in cases of RRD less than PVR grade C, regardless of the location of the retinal tear.
A deep convolutional neural network for efficient microglia detection
Authors: Suleymanova Ilida , Bychkov Dmitrii , Kopra Jaakko 
Published: July 2023

AbstractMicroglial cells are a type of glial cells that make up 10–15% of all brain cells, and they play a significant role in neurodegenerative disorders and cardiovascular diseases. Despite their vital role in these diseases, developing fully automated microglia counting methods from immunohistological images is challenging. Current image analysis methods are inefficient and lack accuracy in detecting microglia due to their morphological heterogeneity. This study presents development and validation of a fully automated and efficient microglia detection method using the YOLOv3 deep learning-based algorithm. We applied this method to analyse the number of microglia in different spinal cord and brain regions of rats exposed to opioid-induced hyperalgesia/tolerance. Our numerical tests showed that the proposed method outperforms existing computational and manual methods with high accuracy, achieving 94% precision, 91% recall, and 92% F1-score. Furthermore, our tool is freely available and adds value to exploring different disease models. Our findings demonstrate the effectiveness and efficiency of our new tool in automated microglia detection, providing a valuable asset for researchers in neuroscience.
Influence of self-efficacy on male military pilots’ capability to handle special situations: a moderated mediation model
Authors: Qiu Rui , Gong Yue , Cao Yang , You Xuqun , Zhu Xia 
Published: July 2023

AbstractThis study aimed to explore the mediating and moderating effects of resilience and perseverance on pilots’ self-efficacy and capability of handling special situations. Using cluster sampling, 251 pilots’ self-efficacy, special flight situation handling capability, resilience and perseverance were assessed using standardized scales. Pilots with high self-efficacy can improve their resilience to enhance their capability to handle special situations. An analysis was performed that included perseverance in the mediation model, and results showed that the influence of self-efficacy on special situation handling through resilience was moderated by perseverance. The relations between self-efficacy and special flight situation handling capability present a moderated mediation model. A pilot’s capability of handling special situations, ensuring flight safety and combat capability may be enhanced by improving their self-efficacy, resilience, and perseverance.
Laparoendoscopic single-site surgery for deep infiltrating endometriosis based on retroperitoneal pelvic spaces anatomy: a retrospective study
Authors: Zhang Shoufeng , Yu Hongxia , Dong ZhiYong , Chen Yao , Shan Wulin , Zhang Wendi , Tang Huiming , Chen Mengyue , Wei Weiwei , Shi Ruxia , Xia Bairong , Chen Jiming 
Published: July 2023

AbstractTransumbilical single-port laparoscopy is widely used in gynecological surgery. However, it is rarely used in the treatment of deep infiltrating endometriosis due to its own shortcomings and the complex condition of deep infiltrating endometriosis. The study aims to introduce a transumbilical single-port laparoscopic surgery based on retroperitoneal pelvic spaces anatomy, which can complete the operation of deep infiltrating endometriosis more easily. A retrospective analysis of 63 patients with deep infiltrating endometriosis treated by transumbilical single-port laparoscopy using this method was conducted. The operation duration was 120.00 (85.00 ± 170.00) (35–405) min, the estimated blood loss was 68.41 ± 39.35 ml, the postoperative hospital stay was 5.00 (4.00–6.00) days, and the incidence of postoperative complications was 4.76% (3/63). 1 patient was found to have intestinal injury during operation, 1 patient had ureteral injury after operation, and 1 patient had postoperative pelvic infection, with a recurrence rate of 9.52%. The postoperative scar score was 3.00 (3.00–4.00) and the postoperative satisfaction score was 9.00 (8.00–10.00). In summary, this study demonstrates the feasibility of transumbilical single-port laparoscopic surgery for deep infiltrating endometriosis based on retroperitoneal pelvic spaces anatomy. Hysterectomy, adenomyosis resection, etc. are also feasible with this method, boasting more obvious advantages. This method can make transumbilical single-port laparoscopy more widely used in deep infiltrating endometriosis.
Impaired biosynthesis of ergosterol confers resistance to complex sphingolipid biosynthesis inhibitor aureobasidin A in a PDR16-dependent manner
Authors: Fukuda Shizuka , Kono Yushi , Ishibashi Yohei , Tabuchi Mitsuaki , Tani Motohiro 
Published: July 2023

AbstractComplex sphingolipids and sterols are coordinately involved in various cellular functions, e.g. the formation of lipid microdomains. Here we found that budding yeast exhibits resistance to an antifungal drug, aureobasidin A (AbA), an inhibitor of Aur1 catalyzing the synthesis of inositolphosphorylceramide, under impaired biosynthesis of ergosterol, which includes deletion of ERG6, ERG2, or ERG5 involved in the final stages of the ergosterol biosynthesis pathway or miconazole; however, these defects of ergosterol biosynthesis did not confer resistance against repression of expression of AUR1 by a tetracycline-regulatable promoter. The deletion of ERG6, which confers strong resistance to AbA, results in suppression of a reduction in complex sphingolipids and accumulation of ceramides on AbA treatment, indicating that the deletion reduces the effectiveness of AbA against in vivo Aur1 activity. Previously, we reported that a similar effect to AbA sensitivity was observed when PDR16 or PDR17 was overexpressed. It was found that the effect of the impaired biosynthesis of ergosterol on the AbA sensitivity is completely abolished on deletion of PDR16. In addition, an increase in the expression level of Pdr16 was observed on the deletion of ERG6. These results suggested that abnormal ergosterol biosynthesis confers resistance to AbA in a PDR16-dependent manner, implying a novel functional relationship between complex sphingolipids and ergosterol.
The metabolomic profiling of total fat and fat distribution in a multi-cohort study of women and men
Authors: Zheng Rui , Michaëlsson Karl , Fall Tove , Elmståhl Sölve , Lind Lars 
Published: July 2023

AbstractCurrently studies aiming for the comprehensive metabolomics profiling of measured total fat (%) as well as fat distribution in both sexes are lacking. In this work, bioimpedance analysis was applied to measure total fat (%) and fat distribution (trunk to leg ratio). Liquid chromatography-mass spectrometry-based untargeted metabolomics was employed to profile the metabolic signatures of total fat (%) and fat distribution in 3447 participants from three Swedish cohorts (EpiHealth, POEM and PIVUS) using a discovery-replication cross-sectional study design. Total fat (%) and fat distribution were associated with 387 and 120 metabolites in the replication cohort, respectively. Enriched metabolic pathways for both total fat (%) and fat distribution included protein synthesis, branched-chain amino acids biosynthesis and metabolism, glycerophospholipid metabolism and sphingolipid metabolism. Four metabolites were mainly related to fat distribution: glutarylcarnitine (C5-DC), 6-bromotryptophan, 1-stearoyl-2-oleoyl-GPI (18:0/18:1) and pseudouridine. Five metabolites showed different associations with fat distribution in men and women: quinolinate, (12Z)-9,10-dihydroxyoctadec-12-enoate (9,10-DiHOME), two sphingomyelins and metabolonic lactone sulfate. To conclude, total fat (%) and fat distribution were associated with a large number of metabolites, but only a few were exclusively associated with fat distribution and of those metabolites some were associated with sex*fat distribution. Whether these metabolites mediate the undesirable effects of obesity on health outcomes remains to be further investigated.
Vison transformer adapter-based hyperbolic embeddings for multi-lesion segmentation in diabetic retinopathy
Authors: Wang Zijian , Lu Haimei , Yan Haixin , Kan Hongxing , Jin Li 
Published: July 2023

AbstractDiabetic Retinopathy (DR) is a major cause of blindness worldwide. Early detection and treatment are crucial to prevent vision loss, making accurate and timely diagnosis critical. Deep learning technology has shown promise in the automated diagnosis of DR, and in particular, multi-lesion segmentation tasks. In this paper, we propose a novel Transformer-based model for DR segmentation that incorporates hyperbolic embeddings and a spatial prior module. The proposed model is primarily built on a traditional Vision Transformer encoder and further enhanced by incorporating a spatial prior module for image convolution and feature continuity, followed by feature interaction processing using the spatial feature injector and extractor. Hyperbolic embeddings are used to classify feature matrices from the model at the pixel level. We evaluated the proposed model’s performance on the publicly available datasets and compared it with other widely used DR segmentation models. The results show that our model outperforms these widely used DR segmentation models. The incorporation of hyperbolic embeddings and a spatial prior module into the Vision Transformer-based model significantly improves the accuracy of DR segmentation. The hyperbolic embeddings enable us to better capture the underlying geometric structure of the feature matrices, which is important for accurate segmentation. The spatial prior module improves the continuity of the features and helps to better distinguish between lesions and normal tissues. Overall, our proposed model has potential for clinical use in automated DR diagnosis, improving accuracy and speed of diagnosis. Our study shows that the integration of hyperbolic embeddings and a spatial prior module with a Vision Transformer-based model improves the performance of DR segmentation models. Future research can explore the application of our model to other medical imaging tasks, as well as further optimization and validation in real-world clinical settings.
Magnetic holes between Earth and Mercury: BepiColombo cruise phase
Authors: Volwerk M. , Karlsson T. , Heyner D. , Goetz C. , Simon Wedlund C. , Plaschke F. , Schmid D. , Fischer D. , Mieth J. , Richter I. , Nakamura R. , Narita Y. , Magnes W. , Auster U. , Matsuoka A. , Baumjohann W. , Glassmeier K.-H. 
Published: July 2023

Context.Magnetic holes are ubiquitous structures in the solar wind and in planetary magnetosheaths. They consist of a strong depression of the magnetic field strength, most likely in pressure balance through increased plasma pressure, which is convected with the plasma flow. These structures are created through a plasma temperature anisotropy, where the perpendicular temperature (with respect to the magnetic field) is greater than the parallel temperature. The occurrence rate of these magnetic holes between Earth and Mercury can give us information about how the solar wind conditions develop on their way from the Sun to the outer Solar System. They also give information about basic plasma processes such as diffusion of magnetic structures.Aims.In this study we investigate the occurrence, size, and depth of magnetic holes during the cruise phase of BepiColombo and compare them with earlier studies.Methods.The BepiColombo magnetometer data were used to find the magnetic holes. We determined the size in seconds, the depth with respect to the background field, and the rotation angle of the background field across the structure. Minimum variance analysis delivers the polarization state of the magnetic holes. A direct comparison is made to the results obtained from the MESSENGER cruise phase.Results.We find an almost constant occurrence rate for magnetic holes between Mercury and Earth. The size of the holes is determined by the plasma conditions at the location where they are created and they grow in size, due to diffusion, as they move outwards in the Solar System. The greater the rotation of the background magnetic field across the structure, the larger the minimum size of the magnetic hole is.