bluuebunny/crossref_metadata_2025_split huggingface dataset:
The improvement of the in vitro plant regeneration in barley with the epigenetic modifier of histone acetylation, trichostatin A
Authors: Nowak Katarzyna , Wójcikowska Barbara , Gajecka Monika , Elżbieciak Anna , Morończyk Joanna , Wójcik Anna M. , Żemła Przemysław , Citerne Sylvie , Kiwior-Wesołowska Agnieszka , Zbieszczyk Justyna , Gaj Małgorzata D. 
Published: November 2023

AbstractGenotype-limited plant regeneration is one of the main obstacles to the broader use of genetic transformation in barley breeding. Thus, developing new approaches that might improve responses of in vitro recalcitrant genotypes remains at the center of barley biotechnology. Here, we analyzed different barley genotypes, including “Golden Promise,” a genotype commonly used in the genetic transformation, and four malting barley cultivars of poor regenerative potential. The expression of hormone-related transcription factor (TF) genes with documented roles in plant regeneration was analyzed in genotypes with various plant-regenerating capacities. The results indicated differential expression of auxin-related TF genes between the barley genotypes in both the explants and the derived cultures. In support of the role of auxin in barley regeneration, distinct differences in the accumulation of free and oxidized auxin were observed in explants and explant-derived callus cultures of barley genotypes. Following the assumption that modifying gene expression might improve plant regeneration in barley, we treated the barley explants with trichostatin A (TSA), which affects histone acetylation. The effects of TSA were genotype-dependent as TSA treatment improved plant regeneration in two barley cultivars. TSA-induced changes in plant regeneration were associated with the increased expression of auxin biosynthesis-involved TFs. The study demonstrated that explant treatment with chromatin modifiers such as TSA might provide a new and effective epigenetic approach to improving plant regeneration in recalcitrant barley genotypes.
Enhancement of the Hygrothermoelastic Performance of Rotating Cylindrical Smart Sensors
Authors: Eldeeb A. M. , Shabana Y. M. , Elsawaf A. 
Published: November 2023

AbstractThe goal of this research article is to investigate the effects of using two-dimensional functionally graded materials on the performance of piezoelectric sensors/actuators when subjected to simultaneous complex loading conditions. The considered disc-shaped sensors/actuators have nonuniform thicknesses and undergo asymmetric hygro-thermo-electro-mechanical loading. A power-law model is used to grade the materials radially, whereas the cosine function, which includes two independent parameters, describes the pattern along the circumferential direction. Comparing the results obtained by using the finite element method with those of one-dimensional graded structures leads to promising outcomes. For example, the radial displacement exhibits vital changes that varied between $$-13$$

-
13

and $$31\%$$

31
%

. This is beneficial for such structures in terms of enhancing their sensing/actuating abilities. Also, the tangential stress can be reduced substantially by about $$39.5\%$$

39.5
%

through the proper selection of the corresponding material parameters. In addition, this reduction of the tangential stress has a positive effect on the von Mises stress that can be decreased by nearly $$33\%$$

33
%

. Accordingly, the structure would have improved durability and sustain higher loads. These findings would revolutionize the manufacturing of smart structures and enhance their behaviors under severe conditions.
Torque effect on vibration behavior of high-speed train gearbox under internal and external excitations
Authors: Zhou Yue , Wang Xi , Que Hongbo , Guo Rubing , Lin Xinhai , Jin Siqin , Wu Chengpan , Hou Yu 
Published: November 2023

AbstractThe high-speed train transmission system, experiencing both the internal excitation originating from gear meshing and the external excitation originating from the wheel–rail interaction, exhibits complex dynamic behavior in the actual service environment. This paper focuses on the gearbox in the high-speed train to carry out the bench test, in which various operating conditions (torques and rotation speeds) were set up and the excitation condition covering both internal and external was created. Acceleration responses on multiple positions of the gearbox were acquired in the test and the vibration behavior of the gearbox was studied. Meanwhile, a stochastic excitation modal test was also carried out on the test bench under different torques, and the modal parameter of the gearbox was identified. Finally, the sweep frequency response of the gearbox under gear meshing excitation was analyzed through dynamic modeling. The results showed that the torque has an attenuating effect on the amplitude of gear meshing frequency on the gearbox, and the effect of external excitation on the gearbox vibration cannot be ignored, especially under the rated operating condition. It was also found that the torque affects the modal parameter of the gearbox significantly. The torque has a great effect on both the gear meshing stiffness and the bearing stiffness in the transmission system, which is the inherent reason for the changed modal characteristics observed in the modal test and affects the vibration behavior of the gearbox consequently.
Theoretical analysis of anchorage-seepage coupling effect of the surrounding rock stability in deep buried abandoned chambers
Authors: Zhao Zenghui , Li Canlin , Meng Zhe , Liu Hao 
Published: November 2023

AbstractHow to ensure the safety of abandoned mine resources, scientifically develop and utilize abandoned mine resources, and promote the transformation of resource-exhausted mining areas have become an important issue in the field of energy and environment in the world today. Aiming at the stability of the surrounding rock in deep closed/abandoned mine chamber, the mechanical model of the surrounding rock under the coupling effect of anchorage and seepage field was proposed. Considering the elastic brittleness degradation and plastic dilatancy effect of rock mass, the analytical solutions of stress and displacement of rockbolt-seepage-surrounding rock coupling system were respectively deduced, and the accuracy of the results were verified. Based on the analytical results, the evolution law of stress and displacement of the surrounding rock under the combined action of seepage field and anchorage effect were further revealed, and a new quantitative design method of rockbolt parameters was proposed. Results show that the influence of rockbolt spacing and rod diameter on the mechanical field is obvious, while the rockbolt length and pre-tension load is small. Dense, short rockbolt with larger diameter should be used in the surrounding rock of deep chamber. The influence of seepage on the displacement of the surrounding rock is very significant. The more serious the seepage is, the more obvious the control effect of rockbolt on the displacement is. Appropriately increasing the density and diameter of rockbolt can effectively reduce the displacement of the surrounding rock.
Understanding the ability of Pachycrepoideus vindemiae (Hymenoptera: Pteromalidae) to find and parasitize buried Diptera pupae in southwestern Colombia
Authors: Manzano Maria R. , Moreno Carlos A. , Melo-Cerón Clara , Richard Freddie-Jeanne 
Published: November 2023

AbstractPachycrepoideus vindemiae is a generalist wasp parasitoid released for biological control of the pupal stage for several species of Tephritoidea and Muscoidea flies that limit production of fruits and poultry commodities, respectively, worldwide. The parasitoid wasp must find buried host pupae to oviposit on them, and several factors may influence this outcome. The objectives of this study were to determine the capacity of first, host larvae to burrow to pupate according to substrate humidity and second, the parasitoid wasp to burrow and parasitize buried host pupae according to different conditions (substrate type, host species and parasitization time exposure). Moreover, comparison of chemical profiles between host’s pupae potentially involved for host location by the parasitoid was realized by GC-FID. Peat humidity significantly affected the burrowing depth of Dasiops inedulis and Anastrepha striata and both species buried significantly deeper in peat with 50% humidity than in dry conditions. The number of emerged parasitoids is not different between the two tested host species. P. vindemiae performance was better in peat than in crop soil. In peat wasps’ parasitism is similar between buried pupae located at 0 mm or 10 mm depth regardless of the time of exposure to the parasitoid. Cuticular chemical profiles showed that the four-host pupa species studied did not share compounds. However, A. striata shared some compounds with D. inedulis and, M. domestica shared some with C. capitata. Common compounds were found in the extracts of parasitized and non-parasitized pupae of C. capitata, D. inedulis and M. domestica.
Cancer Stem Cell Markers and Properties Across Gastrointestinal Cancers
Authors: Jahangiri Leila 
Published: November 2023

Abstract
Purpose of Review
Gastrointestinal cancers are a major health concern worldwide and include oesophageal, gastric, colorectal, liver, and pancreatic cancers that may have unfavourable patient prognoses and frequently lead to death due to cancer. The function of cancer stem cells (CSCs) in tumour growth, propagation, migration, metastasis, and recurrence has been reported in the literature, and finding effective markers for these cells is highly desirable.

Recent Findings
These cells may display properties such as self-renewal, symmetric and asymmetric divisions, low reactive oxygen species, efflux of compounds and toxins, heightened capacity for DNA damage repair, and tumour growth and propagation in immunodeficient mouse models. Furthermore, CSCs dynamically interact with the tumour microenvironment and, in addition, may impact processes like tumour progression, aggressive behaviour, migration, disease relapse, and recurrence, hence becoming clinically important.

Summary
Based on this background, this review aimed to obtain a deeper understanding of the properties of CSCs across five gastrointestinal cancers and to discuss their specific characteristics and markers. A better understanding of CSCs may ultimately contribute to improving patient prognoses and treatment outcomes and ultimately enhance the quality of life of gastrointestinal cancer sufferers.
A Novel Deep Kernel Incremental Extreme Learning Machine Based on Artificial Transgender Longicorn Algorithm and Multiple Population Gray Wolf Optimization Methods
Authors: Wu Di , Xiao Yan 
Published: November 2023

AbstractRedundant nodes in a kernel incremental extreme learning machine (KI-ELM) increase ineffective iterations and reduce learning efficiency. To address this problem, this study established a novel improved hybrid intelligent deep kernel incremental extreme learning machine (HI-DKIELM), which is based on a hybrid intelligent algorithm and a KI-ELM. First, a hybrid intelligent algorithm was established based on the artificial transgender longicorn algorithm and multiple population gray wolf optimization methods to reduce the parameters of hidden layer neurons and then to determine the effective number of hidden layer neurons. The learning efficiency of the algorithm was improved through the reduction of network complexity. Then, to improve the classification accuracy and generalization performance of the algorithm, a deep network structure was introduced to the KI-ELM to gradually extract the original input data layer by layer and realize high-dimensional mapping of data. The experimental results show that the number of network nodes of HI-DKIELM algorithm is obviously reduced, which reduces the network complexity of ELM and greatly improves the learning efficiency of the algorithm. From the regression and classification experiments, its CCPP can be seen that the training error and test error of the HI-DKIELM algorithm proposed in this paper are 0.0417 and 0.0435, which are 0.0103 and 0.0078 lower than the suboptimal algorithm, respectively. On the Boston Housing database, the average and standard deviation of this algorithm are 98.21 and 0.0038, which are 6.2 and 0.0003 higher than the suboptimal algorithm, respectively.
Semantic Segmentation of High-Resolution Remote Sensing Images with Improved U-Net Based on Transfer Learning
Authors: Zhang Hua , Jiang Zhengang , Zheng Guoxun , Yao Xuekun 
Published: November 2023

AbstractSemantic segmentation of high-resolution remote sensing images has emerged as one of the foci of research in the remote sensing field, which can accurately identify objects on the ground and determine their localization. In contrast, the traditional deep learning-based semantic segmentation, on the other hand, requires a large amount of annotated data, which is unsuitable for high-resolution remote sensing tasks with limited resources. It is therefore important to build a semantic segmentation method for high-resolution remote sensing images. In this paper, it is proposed an improved U-Net model based on transfer learning to solve the semantic segmentation problem of high-resolution remote sensing images. The model is based on the symmetric encoder–decoder structure of U-Net. For the encoder, transfer learning is applied and VGG16 is used as the backbone of the feature extraction network, and in the decoder, after upsampling using bilinear interpolation, it is performed multiscale fusion with the feature maps of the corresponding layers of the encoder in turn and is finally obtained the predicted value of each pixel to achieve precise localization. To verify the efficacy of the proposed network, experiments are performed on the ISPRS Vaihingen dataset. The experiments show that the applied method has achieved high-quality semantic segmentation results on the high-resolution remote sensing dataset, and the MIoU is 1.70%, 2.20%, and 2.33% higher on the training, validation, and test sets, respectively, and the IoU is 4.26%, 6.89%, and 5.44% higher for the automotive category compared to the traditional U-Net.
Rethinking Cultural Heritage in the International Finance Corporation Performance Standards
Authors: Mason Andrew R. , Martindale Andrew 
Published: November 2023

AbstractIn 2006, the World Bank's private sector lending arm, the International Finance Corporation (IFC), introduced eight Environmental and Social Performance Standards (PSs) to define IFC clients’ responsibilities for managing their environmental and social risks, including those related to cultural heritage. Since their introduction, the PSs have evolved into a de facto global standard that other development banks and many private sector banks, insurers, and development proponents have voluntarily adopted to help manage their own risk exposure. Although the widespread adoption of such policies can be viewed positively as a reflection of good governance, the PSs were never designed with this purpose in mind. This article traces the development of cultural heritage policy within the World Bank Group, then critically examines the IFC PSs as they relate to cultural heritage, drawing attention to the elements in need of revision to better reflect internationally recognized good practice for the management of cultural heritage. Equally important, we recommend the development and implementation of a bespoke cultural heritage framework for the private sector.
The N3C governance ecosystem: A model socio-technical partnership for the future of collaborative analytics at scale
Authors: Suver Christine , Harper Jeremy , Loomba Johanna , Saltz Mary , Solway Julian , Anzalone Alfred Jerrod , Walters Kellie , Pfaff Emily , Walden Anita , McMurry Julie , Chute Christopher G. , Haendel Melissa 
Published: November 2023

Abstract
The National COVID Cohort Collaborative (N3C) is a public–private–government partnership established during the Coronavirus pandemic to create a centralized data resource called the “N3C data enclave.” This resource contains individual-level health data from participating healthcare sites nationwide to support rapid collaborative analytics. N3C has enabled analytics within a cloud-based enclave of data from electronic health records from over 17 million people (with and without COVID-19) in the USA. To achieve this goal of a shared data resource, N3C implemented a shared governance strategy involving stakeholders in decision-making. The approach leveraged best practices in data stewardship and team science to rapidly enable COVID-19-related research at scale while respecting the privacy of data subjects and participating institutions. N3C balanced equitable access to data, team-based scientific productivity, and individual professional recognition – a key incentive for academic researchers. This governance approach makes N3C research sustainable and effective beyond the initial days of the pandemic. N3C demonstrated that shared governance can overcome traditional barriers to data sharing without compromising data security and trust. The governance innovations described herein are a helpful framework for other privacy-preserving data infrastructure programs and provide a working model for effective team science beyond COVID-19.
Evaluating barriers and potential solutions to speaking up about coronavirus disease 2019 (COVID-19) symptoms: A survey among nursing home workers
Authors: Gussin Gabrielle M. , Singh Raveena D. , Tjoa Thomas T. , Saavedra Raheeb , Kaplan Sherrie H. , Huang Susan S. 
Published: November 2023

AbstractObjective:Quantify the frequency and drivers of unreported coronavirus disease 2019 (COVID-19) symptoms among nursing home (NH) staff.Design:Confidential telephone survey.Setting:The study was conducted in 70 NHs in Orange County, California, December 2020–February 2022.Participants:The study included 120 NH staff with COVID-19.Methods:We designed a 40-item telephone survey of NH staff to assess COVID-19 symptom reporting behavior and types of barriers [monetary, logistic, and emotional (fear or stigma)] and facilitators of symptom reporting using 5-point Likert scales. Summary statistics, reliability of survey constructs, and construct and discriminant validity were assessed.Results:Overall, 49% of surveys were completed during the 2020–2021 COVID-19 winter wave and 51% were completed during severe acute respiratory coronavirus virus 2 (SARS-CoV-2) δ (delta)/ (omicron) waves, with a relatively even distribution of certified nursing assistants, licensed vocational or registered nurses, and nonfrontline staff. Most COVID-19 cases (71%) were detected during mandated weekly NH surveillance testing and most staff (67%) had ≥1 symptom prior to their test. Only 34% of those with symptoms disclosed their symptom to a supervisor. Responses were consistent across 8 discrete survey constructs with Cronbach α > 0.70. In the first wave of the pandemic, fear and lack of knowledge were drivers of symptom reporting. In later waves, adequate staffing and sick days were drivers of symptom reporting. COVID-19 help lines and encouragement from supervisors facilitated symptom reporting and testing.Conclusions:Mandatory COVID-19 testing for NH staff is key to identifying staff COVID-19 cases due to reluctance to speak up about existing symptoms. Active encouragement from supervisors to report symptoms and stay home when ill was a major driver of symptom reporting and resultant infection prevention and worker safety measures.
From L.A. to Boise: How Migration Has Changed During the COVID-19 Pandemic
Authors: Haslag Peter , Weagley Daniel 
Published: November 2023

AbstractWe examine how broad changes in work arrangements and lifestyles brought on by the COVID-19 pandemic have affected households’ location decisions. Using data on over 360,000 residential, interstate moves over the last 5 years, we find that more than 12% of moves were directly influenced by the pandemic. Among pandemic-influenced movers, over 15% of households cite that remote work influenced their move. Lifestyle-related (job-related) migration increased (decreased) significantly, particularly for the set of households who are likely to have access to remote work. We further find that these changes in migration patterns are positively related to post-pandemic economic growth.
Involuntary autobiographical memories and déjà vu: When and why attention makes a difference
Authors: Vannucci Manila , Hanczakowski Maciej 
Published: November 2023

Abstract
The target article claims that involuntary autobiographical memories and déjà vu are based on the same retrieval processes, although they result in different phenomenological states. Here we argue that the differential engagement of attention at various stages of memory may be one of the determinants of when common retrieval processes give rise to such different experiences.
The double-helix entanglements of transnational advocacy: Moral conservative resistance to LGBTI rights
Authors: Ayoub Phillip M. , Stoeckl Kristina 
Published: November 2023

AbstractThe rights of people who are marginalised by their sexual orientation and gender identity (LGBTI) have improved in many countries. Largely, these achievements can be traced back to the ‘spiral model’ of factors including transnational mobilisation by the LGBTI rights movement, the actions of a few pioneering governments, and advances in the human rights frameworks of some international organisations (IOs). Yet a rising and increasingly globally connected resistance works against LGBTI rights. It rests predominantly in the hands of a transnational advocacy network (TAN) that attempts to lay claim to international human rights law by reinterpreting it. Drawing on a decade of fieldwork and 240 interviews with LGBTI, anti-LGBTI, and state and IO actors, this article explores how the conservative TAN functions, in terms of who comprises it and how its agenda is constructed. We argue that this TAN has employed many of the same transnational tools that garnered LGBTIQ people their widespread recognition. It also conforms to the spiral model of rights diffusion, but in a process we call a double helix. As the double-helix metaphor suggests, rival TANs have a reciprocal relationship, having to navigate each other’s presence in an interactive space and thus using related strategies and instruments for mutually exclusive ends.
Variation in the Impact of ENSO on the Western Pacific Pattern Influenced by ENSO Amplitude in CMIP6 Simulations
Authors: Aru Hasi , Chen Wen , Chen Shangfeng , Garfinkel Chaim I. , Ma Tianjiao , Dong Zizhen , Hu Peng 
Published: November 2023

AbstractThe Western Pacific pattern (WP) is one of the most consequential atmospheric teleconnections during boreal winter, as it profoundly influences weather extremes and climate variability across Eurasia and North America. The El Niño‐Southern Oscillation (ENSO) is suggested to be a crucial external forcing of WP variability. In this study, we meticulously evaluated the capability of 56 coupled climate models from the Coupled Model Intercomparison Project 6th phase (CMIP6) in replicating the winter ENSO‐WP connection. Our results reveal notable diversities in the portrayal of the winter ENSO‐WP relation across CMIP6 models. This model diversity in the ENSO‐WP connections primarily stems from the spread of the models' simulated ENSO amplitude. Specifically, models with enhanced ENSO amplitudes exhibit intensified sea surface temperature (SST) anomalies in the equatorial central‐eastern Pacific. This enhancement of SST anomalies faciliates stronger atmospheric convective anomalies, especially in the extratropical eastern Pacific and the tropical western North Pacific. Of particular note is the intensified atmospheric convective anomalies in the tropical western North Pacific, which exert a pivotal role in shaping the WP through initiating a distinct atmospheric teleconnection pattern.