bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genomic and functional features of yeast species in Korean traditional fermented alcoholic beverage and soybean products
Authors: Jeong Da Min , Kim Hyeon Jin , Jeon Min-Seung , Yoo Su Jin , Moon Hye Yun , Jeon Eun-joo , Jeon Che Ok , Eyun Seong-il , Kang Hyun Ah 
Published: December 2022

AbstractIn this review, we describe the genomic and physiological features of the yeast species predominantly isolated from Nuruk, a starter for traditional Korean rice wines, and Jang, a traditional Korean fermented soy product. Nuruk and Jang have several prevalent yeast species, including Saccharomycopsis fibuligera, Hyphopichia burtonii, and Debaryomyces hansenii complex, which belong to the CUG clade showing high osmotic tolerance. Comparative genomics revealed that the interspecies hybridization within yeast species for generating heterozygous diploid genomes occurs frequently as an evolutional strategy in the fermentation environment of Nuruk and Jang. Through gene inventory analysis based on the high-quality reference genome of S. fibuligera, new genes involved in cellulose degradation and volatile aroma biosynthesis and applicable to the production of novel valuable enzymes and chemicals can be discovered. The integrated genomic and transcriptomic analysis of Hyphopichia yeasts, which exhibit strong halotolerance, provides insights into the novel mechanisms of salt and osmo-stress tolerance for survival in fermentation environments with a low-water activity and high-concentration salts. In addition, Jang yeast isolates, such as D. hansenii, show probiotic potential for the industrial application of yeast species beyond fermentation starters to diverse human health sectors.
A fully finite-element based model-space algorithm for three-dimensional inversion of magnetotelluric data
Authors: Ansari S M , Craven J A 
Published: December 2022

SUMMARY
We present a fully finite-element based inversion methodology for imaging 3-D magnetotelluric impedance data on unstructured meshes. The inverse problem is formulated using a minimum-structure Gauss–Newton type optimization scheme that minimizes an objective function with respect to the model perturbation. By introducing a rigorous regularization scheme, we derived a Ritz-type variational formulation of the model objective function and designed a face-based finite-element basis function to discretize the model gradient across tetrahedron’s inter-element boundaries. The forward modelling engine of our optimization scheme is based on a finite-element solution of the E-field Helmholtz equation that is enforced for the magnetotelluric simulation problem using the appropriate edge-based basis functions and 3D boundary conditions. The optimization algorithm developed here utilizes a message passing interface scheme and uses a direct solver to factorize and store both the regularization matrix and the forward modelling coefficient matrix on the processes working in parallel. Having to do this only once within each Gauss–Newton optimization cycle facilitates both the calculation of the dot product of the model regularization terms with the evolving model perturbation, and computing implicitly the sensitivity-vector products. We validated the methodology and the correctness of the developed algorithm for two test examples (COMMEMI 3Ds) from the literature. Also, by comparing the performance between classes of iterative solvers we demonstrated the superior performance of generalized minimum residual solver in reducing the residual norm of the iterative solver during model updates. Using the algorithm in a geologically realistic scenario, we imaged the anticipated geometry of the Lalor volcanogenic massive sulphide deposit in Canada. The feasibility of the imaging methodology is further evaluated with the survey data, for which, again the algorithm converged to the anticipated model solution reproducing the lithostratigraphic sequence of the ore deposit.
Christian feminism? Women Against the Ordination of Women and the St. Hilda Community, 1986–92
Authors: Heaton Grace 
Published: December 2022

Abstract
Women who identified as both religious and feminists occupied a liminal space within the women’s movement of the late twentieth century. This article explores the activism of two groups at opposite ends of the ordination debate. Women Against the Ordination of Women (W.A.O.W.) were advocates of women’s equality, but against imposing secular values onto sacramental matters, whereas the St. Hilda Community championed women’s ordination and sought to establish a community for those otherwise ostracized from Anglican life. This article explores the activism of two groups at opposite ends of the Church of England’s ordination debate.
The Emergency Medical Team Operating System: design, implementation, and evaluation of a field hospital information management system
Authors: Schreiber Erik , Gaebel Jan , de Hoop Tom , Neumuth Thomas 
Published: December 2022

Abstract
In case of sudden-onset disasters (SODs), the World Health Organization deploys specialized emergency medical teams (EMTs); yet, the coordination and operation of such teams pose significant challenges. One issue is the lack of digital information systems and standards. We developed a highly customizable and scalable electronic medical record (EMR) system, tailored to EMT requirements, called the “Emergency Medical Team Operating System” (EOS). EOS was successfully tested through 9 realistic clinical tasks during a full-scale EU Module Exercise. During the initial evaluation, 21 team members from 9 countries evaluated the system positively, stressing the urgent need for an EMR for EMTs. EMTs face unique challenges during disaster relief missions. To provide an effective and coordinated delivery of care, there is a great need for an EMR tailored to the specific needs of EMTs. EOS may serve as an effective EMR during SOD missions.
A novel multi-objective service composition architecture for blockchain-based cloud manufacturing
Authors: Tong Juncheng , Zhao Bo , An Yang 
Published: December 2022

AbstractIn recent years, many core technologies of Industry 4.0 have advanced significantly, particularly the integration of big data technology and cloud manufacturing (CMfg). The decentralization and traceability features of blockchain technology (BCT) provide an effective solution to provide trusted resource service in CMfg. Service composition is a core issue of CMfg to increase the value of digital assets. However, existing research on service composition based on BCT suffers from both the blockchain proof-of-work (PoW) mechanism and the service composition problem need to consume large computational overheads, as well as the blockchain fork problem affecting the system’s reliability, which reduces the usefulness of these schemes. To solve these problems, this paper proposes a novel multi-objective service composition architecture for blockchain-based CMfg (MOSC-BBCM). In MOSC-BBCM, first, a blockchain-chained storage structure is designed for the actual manufacturing cloud service constraint and scale dynamic changes, which can fully use the historical service information and accelerate the search for high-quality solutions. Second, to reduce the squandered computing resources in the PoW, a mining mechanism based on multi-objective service composition and optimal selection is proposed, where miners competitively solve a nondeterminate polynomial-hard problem to replace the mathematical puzzle. Finally, an incentive mechanism based on the environment selection method is proposed, which can avoid the fork problem while distributing on a labor basis. The effectiveness of the proposed MOSC-BBCM is verified in simulated numerical experiments of CMfg, which shows that the architecture provides a flexible and configurable scheme for blockchain-based CMfg with high availability.
A survey of methods for brain tumor segmentation-based MRI images
Authors: Mohammed Yahya M A , El Garouani Said , Jellouli Ismail 
Published: December 2022

AbstractBrain imaging techniques play an important role in determining the causes of brain cell injury. Therefore, earlier diagnosis of these diseases can be led to give rise to bring huge benefits in improving treatment possibilities and avoiding any potential complications that may occur to the patient. Recently, brain tumor segmentation has become a common task in medical image analysis due to its efficacy in diagnosing the type, size, and location of the tumor in automatic methods. Several researchers have developed new methods in order to obtain the best results in brain tumor segmentation, including using deep learning techniques such as the convolutional neural network (CNN). The goal of this survey is to present a brief overview of magnetic resonance imaging (MRI) modalities and discuss common methods of brain tumor segmentation from MRI images, including brain tumor segmentation using deep learning techniques, as well as the most important contributions in this field, which have shown significant improvements in recent years. Finally, we focused in summary on the building blocks of the CNN algorithms used for image segmentation. In entire survey methodology, it has been observed that hybrid techniques and CNN-based segmentation are more effective for brain tumor segmentation from MRI images.
Histone lactylation driven by mROS-mediated glycolytic shift promotes hypoxic pulmonary hypertension
Authors: Chen Jian , Zhang Meiling , Liu Yanjie , Zhao Shihong , Wang Yanxia , Wang Meng , Niu Wen , Jin Faguang , Li Zhichao 
Published: December 2022

ABSTRACT
Increased mitochondrial reactive oxygen species (mROS) and glycolysis have been established in pulmonary hypertension (PH). However, the effect of elevated mROS on glycolytic shift and how increased glycolysis promotes hypoxic pulmonary artery smooth muscle cell (PASMC) proliferation and vascular remodeling remain elusive. Here, we reported that hypoxia-induced mROS inhibit HIF-1α hydroxylation and further trigger PASMC glycolytic switch through the upregulated HIF-1α/PDK1&PDK2/p-PDH-E1α axis, which facilitates lactate accumulation and histone lactylation. Through H3K18la and HIF-1α ChIP–seq analysis, we found that the enhanced histone lactylation of HIF-1α targets, such as Bmp5, Trpc5, and Kit, promotes PASMC proliferation. Knockdown of Pdk1&2 blunts lactate production, histone lactylation marks, and PASMC proliferation. Moreover, pharmacological intervention with lactate dehydrogenase inhibitor diminishes histone lactylation and ameliorates PASMC proliferation and vascular remodeling in hypoxic PH rats. Taken together, this study provides proof of concept for anti-remodeling therapy through lactate manipulation.
Leaf traits of clonal grasses responding to the ratios of ammonium to nitrate in a semi-arid grassland: leaf order matters
Authors: Liu Ruoxuan , Chen Jungang , Ren Zhengru , Chen Xu , Lu Haining , Zhang Yuqiu , Zhang Yunhai 
Published: December 2022

Abstract
Leaf is the main organ of photosynthesis. Leaf phenotypic plasticity largely determines the adaptation of plants to enriched nitrogen (N) environments. However, it remains unclear whether the optimal number (proportion) of leaves representing the leaf traits of the whole plant is similar between ambient and N-enriched conditions. Moreover, whether alteration in ammonium (NH4+-N) to nitrate (NO3−-N) ratios in atmospheric N deposition will alter the optimal leaf number is unexplored. By adding three NH4+-N/NO3−-N ratios in a temperate grassland of northern China since 2014, three traits (leaf area, thickness and chlorophyll content) of two dominant clonal grasses, Leymus chinensis and Agropyron cristatum, were measured in August 2020. Results showed that under ambient conditions, the mean leaf area, thickness and chlorophyll content values of two fully expanded leaves were similar to these of all leaves at the plant level, except for the leaf area of L. chinensis, which needed five leaves (78.82% of leaves in the plant). The ratios of NH4+-N/NO3−-N increased the number of required sampled leaves and significantly changed the mean value of leaf traits and the maximum value along leaf order. Moreover, the ratios of NH4+-N/NO3−-N altered the trade-off among the three leaf traits, which is dependent on leaf order, by increasing leaf area and decreasing leaf thickness. Therefore, our study suggests that to better indicate the leaf traits’ value of the whole plant under N-enriched conditions, measuring all fully expanded leaves or providing a suitable scaling-up parameter is needed.
Findings from a Randomized Controlled Trial of SMART: An EHealth Intervention for Mild Traumatic Brain Injury
Authors: Wade Shari L , Sidol Craig , Babcock Lynn , Schmidt Matthew , Kurowski Brad , Cassedy Amy , Zhang Nanhua 
Published: December 2022

AbstractObjectiveThe aim of this study was to examine the efficacy of the SMART (Self-Management After Recent Traumatic brain injury) program and potential moderators.MethodsParallel randomized controlled trial (ClinicalTrials.gov Identifier: NCT03498495) was conducted. Eligibility criteria included treatment for mild traumatic brain injury in the emergency department and age 11–18 years. Participants were assigned equally to SMART (n = 35) or usual care (UC; n = 36). SMART included symptom monitoring and online modules supporting the return to activities and symptom management. Coping and quality of life (QoL) (primary outcomes) and post-concussive symptoms (secondary outcome) were assessed at baseline and weekly for 4 weeks.ResultsGroups did not differ in coping, QoL, or return to pre-injury symptom levels at any time point. Problem-focused engagement (PFE) moderated group differences over time (p = .02). At high PFE, UC participants reported lower QoL at time 1 (effect size [ES] = 0.60); SMART participants did not report a decline at any point. At low PFE, SMART participants reported declining QoL from pre-injury to time 1 (ES = 0.68), whereas UC participants reported an increase from time 1 to 3 (ES = 0.56). PFE also moderated group differences on the Health and Behavior Inventory (HBI) cognitive (p = .02) and somatic symptom scales (p = .05). At high PFE, SMART participants reported a more rapid return to pre-injury levels than UC participants (p = .05). Resilience also moderated group differences in QoL and HBI cognitive recovery.ConclusionEffectiveness of the SMART app varied based on preinjury coping styles and resilience, underscoring the potential need to tailor treatments to individual characteristics.
Departing or Being Deported? Poland’s Approach towards Humanitarian Migrants
Authors: Klaus Witold , Szulecka Monika 
Published: December 2022

Abstract
Referring to the theoretical reflection on securitization in the area of forced migration and applying Barak Kalir’s concept of Departheid, we investigate policies and practices deployed by the Polish authorities to deal with humanitarian migrants. In particular between 2015 and 2021, in the Polish context, humanitarian migrants were usually equated with ‘bogus’ asylum seekers, ‘undeserving’ of protection or even the right to apply for it. With the increasing presence of Belarusian and, more recently, Ukrainian asylum seekers in Poland, two completely different state attitudes towards asylum seekers reaching Poland’s borders became visible. People directly fleeing Belarus and Ukraine were seen as deserving protection and support, and faced no obstacles in entering Poland through its eastern border. At the same time, non-White people forced to leave Asian or African regions in crisis, attempting to cross the border and to enter Poland remained ‘unwanted’—to be deterred or deported, and thus illegalized at some stage of their mobility, usually already at the point of entrance. Based on the analysis of empirical data gathered between 2018 and 2021, we look for durable solutions for the latter category of migrants and investigate the reasons for the selectivity observed in the Polish practices towards asylum seekers. We conclude that the governmental approach perpetuated towards keeping humanitarian migrants away from Polish territory, especially in the post-2015 context, builds on xenophobic sentiments, making the concept of Departheid applicable to the realities of forced migration management in Poland.
Correcting Selection Bias in Big Data by Pseudo-Weighting
Authors: Liu An-Chiao , Scholtus Sander , De Waal Ton 
Published: December 2022

AbstractNonprobability samples, for example observational studies, online opt-in surveys, or register data, do not come from a sampling design and therefore may suffer from selection bias. To correct for selection bias, Elliott and Valliant (EV) proposed a pseudo-weight estimation method that applies a two-sample setup for a probability sample and a nonprobability sample drawn from the same population, sharing some common auxiliary variables. By estimating the propensities of inclusion in the nonprobability sample given the two samples, we may correct the selection bias by (pseudo) design-based approaches. This paper expands the original method, allowing for large sampling fractions in either sample or for high expected overlap between selected units in each sample, conditions often present in administrative data sets and more frequently occurring with Big Data.
Energy vulnerability and pathway towards sustainable energy systems in the Arab region
Authors: Sedaoui Radia 
Published: December 2022

Abstract
Energy vulnerability in the Arab region is linked to various environmental challenges, including water shortage and desertification, as well as accelerating demand for energy which remains largely unchecked, among others. The United Nations (UN) Sustainable Development Goal (SDG) 7 addresses these cross-cutting issues by setting targets for ensuring access to affordable, reliable, sustainable and modern energy for all. This article aims to show that progress towards achieving this goal’s targets within the Arab region is currently offtrack, due to a variety of challenges. These include lack of energy demand management needed to decouple energy consumption from economic growth; much required structural and economic reforms, including diversification; lack of long-term planning and technological awareness; and insufficient access to financing. To overcome these problems and address energy vulnerability, Arab countries should integrate sustainable energy as a fundamental element of national development strategies and embrace circular carbon economy principles within the context of SDG 7. Integrated approaches to energy sector management are required, and topics such as natural resources governance and environmental protection should be elevated within domestic policy agendas.
Reductions in leaf area index, pod production, seed size, and harvest index drive yield loss to high temperatures in soybean
Authors: Burroughs Charles H , Montes Christopher M , Moller Christopher A , Mitchell Noah G , Michael Anne Marie , Peng Bin , Kimm Hyungsuk , Pederson Taylor L , Lipka Alexander E , Bernacchi Carl J , Guan Kaiyu , Ainsworth Elizabeth A 
Published: December 2022

AbstractImprovements in genetics, technology, and agricultural intensification have increased soybean yields; however, adverse climate conditions may prevent these gains from being fully realized in the future. Higher growing season temperatures reduce soybean yields in key production regions including the US Midwest, and better understanding of the developmental and physiological mechanisms that constrain soybean yield under high temperature conditions is needed. This study tested the response of two soybean cultivars to four elevated temperature treatments (+1.7, +2.6, +3.6, and +4.8 °C) in the field over three growing seasons and identified threshold temperatures for response and linear versus non-linear trait responses to temperature. Yield declined non-linearly to temperature, with decreases apparent when canopy temperature exceeded 20.9 °C for the locally adapted cultivar and 22.7°C for a cultivar adapted to more southern locations. While stem node number increased with increasing temperature, leaf area index decreased substantially. Pod production, seed size, and harvest index significantly decreased with increasing temperature. The seasonal average temperature of even the mildest treatment exceeded the threshold temperatures for yield loss, emphasizing the importance of improving temperature tolerance in soybean germplasm with intensifying climate change.
Lumbar Degenerative Disease and Muscle Morphology Before and After Lower Limb Loss in Four Military Patients
Authors: Butowicz Courtney M , Helgeson Melvin D , Pisano Alfred J , Cook John W , Dearth Christopher L , Hendershot Brad D 
Published: December 2022

ABSTRACT

Introduction
Low back pain (LBP) is highly prevalent after lower limb amputation (LLA). Reports describing longitudinal changes in spine health before and after amputation are rare. This study describes lumbar spine pathology, muscle morphology, and the continuum of care for LBP before and after LLA.

Materials and Methods
We queried electronic medical records of patients who sought care for LBP before and after unilateral LLA between January 2002 and April 2020 and who had documented lumbar imaging pre- and post-LLA. Patient demographics, muscle morphology, spinal pathology, premorbid and comorbid conditions, self-reported pain, and treatment interventions were assessed.

Results
Four patients with LBP and imaging before and after LLA were identified. Intervertebral disc degeneration progressed after amputation in three patients, whereas facet arthrosis progressed in both female patients. The fat content of lumbar musculature generally increased after amputation. Conservative management of LBP before and after amputation was standard, with progression to steroidal injections.

Conclusions
Lumbar spine health may degrade after amputation. Here, lumbar muscle size did not change after LLA, yet the fat content increased in combination with increases in facet and intervertebral disc degeneration.