bluuebunny/crossref_metadata_2025_split huggingface dataset:
WITHDRAWN: DYRK1A-mediated PLK2 phosphorylation regulates proliferation and invasion of glioblastoma cell
Authors: Tan Shichuan , Zhao Juan , Wang Pin 
Published: March 2023

Abstract
Purpose
Polo-like kinases are a family of serine-threonine kinases that exert regulatory effects on diverse cellular processes. Dysregulation of PLKs has been implicated in multiple cancers, including glioblastoma (GBM). Notably, PLK2 expression in GBM tumor tissue is lower than that in normal brains. Interestingly, high PLK2 expression is significantly correlated with poor prognosis. Thus, it can be inferred that PLK2 expression alone may not be sufficient for accurate prognosis evaluation, and there should be unknow mechanism underlying PLK2 regulation.
Methods
The analysis of differentially expression of PLK2 in various cancers was performed using TIMER2.0. Protein and transcript expression of both PLK2 and DYRK1A were accessed by WB and qRT-PCR, respectively. Colocalization of PLK2 and DYRK1A was determined using immunofluorescence. The binding of PLK2 and DYRK1A was validated using co-immunoprecipitation. The protein stability of wild type PLK2 and PLK2 mutants was evaluated using cycloheximide chase assay. In addition, the role of PLK2 phosphorylation induced by DYRK1A was investigated through a series of functional assays, including cell proliferation and viability assay, transwell-invasion assay, wound healing assay, and colony formation.
Results
Here we have demonstrated that DYRK1A interacts with and phosphorylates PLK2 at Ser358. DYRK1A-mediated phosphorylation of PLK2 increases its protein stability. Moreover, DYRK1A-induced promotion of PLK2 kinases activity was observed, as indicated by the upregulation of alpha-synuclein S129 phosphorylation. Furthermore, we found that phosphorylation of PLK2 by DYRK1A contributes to proliferation, migration and invasion of glioma cells. Besides, DYRK1A further enhances the inhibition of GBM cells malignancy already induced by PLK2.
Conclusion
The findings of this study suggest that PLK2 may play a partial role in glioblastoma pathogenesis in a manner dependent on DYRK1A, suggesting that PLK2 Ser358 may serve as the therapeutic target for GBM.
Pan-African Charnockites in the Shillong-Meghalaya Gneissic Complex, Northeast India and its implications
Authors: Borah Pritom , Mazumdar Amulya Chandra , Bhagabaty Balen , Khonglah Medard Augustine , Bardoloi Abhijit , Bhattacharya Abhijit 
Published: March 2023

Abstract
Metamorphic to magmatic ortho/clinopyroxene bearing, massive to foliated charnockites sensu lato are exposed in the central part of the Shillong-Meghalaya Gneissic Complex (SMGC), Northeast India. The two pyroxene bearing metamorphic (group-1) charnockites are tonalitic to granodioritic in composition and together with associated high grade rocks pre-date all deformational episodes and successive metamorphic events. On the contrary, the orthopyroxene bearing (group-2) and fayalite + quartz bearing (group-3) magmatic charnockites post-date all deformational and metamorphic episodes. Both group-2 and-3 charnockites are granitic in composition. Thermobarometric estimations and quantitative P-T pseudosection modeling constrain the peak metamorphism of Group-1 charnockites at 900°C/6–6.5 kbar indicating a clockwise P-T trajectory. The ferroan to magnesian charnockites are calc-alkalic to calcic, and weakly peraluminous/metaluminous. The A2-type charnockites with strongly fractionated REE patterns [(La/Lu)N : 3.95‒27.87] and negative Eu anomalies (Eu/Eu*: 0.28‒0.46) are depleted in Nb, Ta, Sr and Ti abundances that correspond with a post-collisional setting. By comparison, in the associated mafic granulites as enclaves/bands, the REEs are 10-60 times enriched relative to chondrite, have flat patterns, and with no negative Eu anomalies. The charnockite suite is derived by the partial melting of varied protoliths including garnet-bearing amphibolites and crustal sources. Tightly-constrained chemical dates in chemically-zoned monazites, hosted within recrystallized grains of pyroxenes and plagioclase in three charnockites samples vary between 463±40 and 526±37 Ma (mean: 503±4 Ma). The magmatic to metamorphic charnockites attest to the prevalence of high-T during the period of post-collisional East Gondwana assembly related accretion at a late stage of Pan-African orogenic cycle, arguably continuous with the Pan-African Prydz Bay suture (East Antarctica) within the East Gondwanaland.
A Kho-Kho optimization based parameter estimation of Permanent Magnet Synchronous Machine
Authors: Srivast Abhishek 
Published: March 2023

Abstract
Permanent magnet synchronous motors (PMSM) are among the popular motors used in industrial applications. Designing an appropriate control scheme to obtain the desired output for these motors depends on the motor parameters. In this aspect, this paper presents the application of a well-known meta-heuristics optimization scheme, i.e, Kho-Kho optimization (KKO) to estimate the parameters of PMSM. KKO introduced in [1] is a population-based meta-heuristic optimization scheme that replicated the chasing strategy of a defending team in a Kho-Kho game. To show the supremacy of the KKO scheme in determining the unknown parameters of the PMSM, a PMSM with known coefficients is considered and the parameter of the model is estimated using KKO.
Organizational Culture as a Need Fulfillment System: Implications for theory, methods, and practice
Authors: Pincus J. David 
Published: March 2023

Abstract
At the time of this writing, the business concept most vigorously championed by management consultants is the construct of organizational culture. Despite the tremendous attention focused on organizational culture, the concept lacks theoretical consensus among its proponents. Like the concepts of employee engagement and employee well-being, this field cries out for clearly stated definitions that embed the concept within a theoretical framework, allowing theory and measurement to productively develop. This paper argues for a more grounded approach to the concept of organizational culture, setting it within the psychological literature on human motivation. We review the leading definitions of organizational culture in the literature and find that they are reducible to a core set of human motives, each backed by full research traditions of their own, which populate a comprehensive model of twelve human motivations. We propose that there is substantial value in adopting a comprehensive motivational taxonomy over current approaches, which have the effect of “snowballing” ever more dimensions and elements. We consider the impact of setting the concepts of organizational culture within existing motivational constructs for each of the following: (a) theory, especially the development of culture frameworks and particularly how the concept of culture relates to the concepts of employee engagement and employee well-being; (b) methods, including the value of applying a comprehensive, structural approach; and (c) practice, where we emphasize the practical advantages of clear operational definitions.
Text summarization of News Articles based on named entity recognition using Spacy library
Authors: Alshibly Ibrahim , Al-Shorfat Sabreen , Otair Mohammad , Shehab Mohammad , Tarawneh Omar , Daoud Mohammad Sh. 
Published: March 2023

Abstract
The study discusses the importance of summarization in dealing with a large amount of data available on the internet. The study used a deep-learning algorithm based on functions from the spacy library in Python to summarize news articles and evaluated the impact of named entity recognition on the summarization process. The study assessed different datasets from CNN-DailyMail and the BBC (entertainment articles) and found that the proposed method based on named entity recognition showed significant improvement in recall, precision, and F-score compared to the word frequency method. The study also observed that the articles from CNN-DailyMail were longer, with an average of 551 words and 28 sentences, compared to the BBC (entertainment articles), which had an average of 190 words and 12 sentences. The evaluation results showed that the proposed method based on named entity recognition performed better on the shorter articles from the BBC, indicating that the method was more effective in summarizing shorter texts. In summary, the study highlighted the importance of summarization in dealing with a large amount of data available on the internet. It showed that named entity recognition can significantly improve the effectiveness of the summarization process. The study also observed that the proposed method was more effective in summarizing shorter texts.
Mean annual temperature mainly drives spatial pattern of plant functional traits in inland arid and semi-arid areas
Authors: Li Menglin , Tong Yao , Cao Zhe , Huang Jihong , Zhang Shichen , Xu Shuyi , Ding Yi , Wang Wendong , Maimaiti Alim , Wang Liping , Zang Runguo 
Published: March 2023

Abstract
The aim of this study is to elucidate the spatial distribution patterns of four key plant functional traits and the effects of environmental factors on their variation in inland arid and semi-arid areas and thus provide a reference for the prediction of species distribution and biodiversity conservation in this region. The county-level distribution data sets of 3,953 seed plants species, traits data sets, and environmental variables data sets were collected in Xinjiang, China. We focused on four plant functional traits: maximum plant height, leaf size, first flowering time and flowering duration. The spatial distribution patterns of plant traits in 50 × 50 km grid cells were detected. The spatial variation in different functional traits was explored and environmental drivers were identified. The results showed that there were significant latitudinal and altitudinal gradient patterns of plant functional traits, and there were significant spatial correlations between different traits. These four traits showed a significant and strong effect of environmental interpretation. Among the three types of environmental factors (climate, soil and habitat heterogeneity), climate factors played the most pronounced role in explaining functional traits. Mean annual temperature (MAT) being the most important driver of the spatial distribution patterns of each trait, and its effect on different traits varies. Overall, vegetative and reproductive growth of plants is more favorable in areas with higher temperatures, abundant precipitation, fertile soils and high habitat heterogeneity, which is mainly reflected in higher plant height, larger leaves, earlier flowering time and longer flowering duration.
Predictive assessment of the ultrasonic shearing quality of AZ31B magnesium alloy sheet based on coupled vibration-thermal model
Authors: Meng Yue , Ma Lifeng , Jia Weitao , Xie Hongbo , Lu Liwei 
Published: March 2023

Abstract
Introducing ultrasonic vibration into the shearing process of hard-to-deform magnesium alloy sheets shows the potential to solve the problems of poor-quality sheet sections and excessive burrs. In this paper, for the AZ31B magnesium alloy sheet, the method of constructing a converter to connect the displacement and vibration reference points is used to establish an ABAQUS three-dimensional ultrasonic vibration shearing simulation analysis model. Furthermore, the processing characteristics of ultrasonic shearing are described by analyzing the equivalent stress. Subsequently, the influence weight coefficients of three factors, sheet temperature, shear edge clearance, and ultrasonic amplitude, and the influence law of the above factors on the change of stress in ultrasonic shearing processing, are studied using the orthogonal test method. The results show that, since ultrasonic vibration can produce intermittent contact and ultrasonic energy softening effect on magnesium alloy sheets, shear processing equivalent stress appears as the phenomenon of stress superposition and fluctuation. Therefore, the equivalent stress of ultrasonic shearing under the same process parameters is less than that of conventional shearing. Moreover, ultrasonic shearing processing of magnesium alloy sheets through the plastic deformation phase for an extended time improves the quality of the shear section. The process parameter with the most significant influence factor in ultrasonic shearing is the sheet temperature, followed by the shear edge clearance and the smallest ultrasonic amplitude. This paper can provide quantitative guidance for the predictive assessment of the ultrasonic shearing quality of the AZ31B magnesium alloy sheet.
The cross-talk between leptin and circadian rhythm signaling proteins in physiological processes: a systematic review
Authors: Ansarin Atefeh , Mahdavi Aida Malek , Javadivala Zeinab , Shanehbandi Dariush , zarredar habib , Ansarin khalil 
Published: March 2023

Abstract
Background Today modern lifestyles and especially disrupted sleep patterns cause circadian clock rhythm impairments that may be linked with the leptin signaling pathway which subsequently alter a wide range of metabolic processes and have significant health burdens on societies. Nevertheless, there is not any systematic review regarding circadian clock genes and proteins, leptin, and the related signaling pathways.
Methods Accordingly, we systematically reviewed circadian clock proteins, leptin, and molecular mechanisms between them by searching Pubmed, Scopus, ProQuest, Web of Sciences, and also Google Scholar until September 2022. After considering inclusion and exclusion criteria, twenty animal model studies were selected as there were not any clinical trial articles about the related molecular pathways. Then the risk of bias for each paper was assessed.
Results The results clarified the reciprocal interconnected relationship between the circadian clock genes and leptin and more profoundly, revealed engaged molecular mechanisms and factors. Also, the role of these molecular mechanisms was explained in different physiological processes such as metabolism in the hypothalamus and corresponding peripheral organs.
Conclusions All this may demonstrate that these signaling pathways and affecting elements should be considered in the prevention and choosing of new therapeutic targets for related disorders especially obesity and metabolic impairments.
A case of acquired Thrombotic Thrombocytopenic Purpura (TTP) caused by acute severe hepatitis E: successfully treated by plasma exchange and rituximab
Authors: ou Yingwei , Xu Yifan , Tan Zhaowang , Pang Lingxiao , Li Shengqin , li Qian , Cai Wenwei , Nan Yong , Tu Jianfeng 
Published: March 2023

Abstract
With low morbidity and high mortality, Thrombotic Thrombocytopenic Purpura (TTP) has brought critical physical and economic burden to society and individual. Thrombocytopenia is very common in severe liver failure, and a variety of hepatitis viruses can induce immune thrombocytopenic purpura. However, it is extremely rare in HEV infection. We hereby report the case of a 53-year-old man who present with TTP caused by severe hepatitis E, and the patients recovered well after treatment. Thus, we propose considering that for patients with severe hepatitis or infection with notable platelet decline, AMAMTS13 testing is very necessary and beneficial for the accurate diagnosis and treatment.
Effects of Crosswind on Pantograph–Catenary Wear Using Nonlinear Multibody System Dynamic Algorithms
Authors: Daocharoenporn Siripong , Mongkolwongrojn Mongkol 
Published: March 2023

Abstract
In this study, a multibody system (MBS) computational framework is developed to determine the exact location of the contact point and wear prediction resulting from the pantograph–catenary interaction. The railroad vehicle models in the MBS computational framework comprise rigid-body railroad vehicles, rigid-body pantograph systems, and flexible catenary systems. To avoid the incremental rotation and cosimulation processes, the nonlinear finite element absolute nodal coordinate formulation is used to model a flexible catenary system in the MBS computational framework and to integrate the rigid-body railroad vehicle and the pantograph and flexible catenary systems into the MBS algorithms. The pantograph–catenary interaction is modeled using an elastic contact formulation developed to include the effect of pantograph–catenary separation and sliding contact. The proposed MBS approach evaluates the location of the contact point, contact force, and normal wear rate (NWR) from the mechanical and electrical contributions. In particular, this investigation considers the vibration caused by a crosswind scenario, the numerical result in the case of a steady crosswind scenario, which contains the advantage of the pantograph–catenary aerodynamic design, and the vibration of the catenary system remains significant after the excitation of steady crosswind. In the case of a steady crosswind, the higher value of the steady crosswind effect significantly increases the mean contact force and NWR from the mechanical contribution. After crosswind load disturbances, the mean contact force decreases, but the standard deviation of the contact force increases. Therefore, the NWR from the electrical contribution increases significantly. However, the total NWR increases with the crosswind velocity.
Neurobiological and psychological impact of acute war stress on Ukrainian refugees
Authors: Rektor Ivan , Fnaskova Monika , Berezka Sofia , Gajdos Martin , Riha Pavel , Evmenova Tetyana , Preiss Marek 
Published: March 2023

Abstract
Based on our research on the impact of extreme stress on Holocaust survivors, we questioned whether the neurobiological and psychological impact of stress could be observed during an ongoing war. We investigated Ukrainian refugee women (UG, n=43) who had been living in the Czech Republic for 2 to 6 months and compared to control group (n=20).
Psychological testing: level of posttraumatic stress, Zung Self-Rating Depression Scale, Anxiety Inventory, Intellectual Potential, and Digit Span Wechsler-III. MR imaging: voxel-based morphometry, functional MR, seed-based connectivity, and Montreal Imaging Stress Task (MIST). MRI showed enlargement of the posterior and central parts of the thalamus. The thalamus is connected with the frontal orbital gyrus and insula; the MIST revealed an impact on the parahippocampal gyrus.
Conclusion: Acute and ongoing war stress had a significant neurobiological impact on refugees from war-torn Ukraine. The UG scored significantly higher in posttraumatic stress, anxiety, and depression. The thalamus modulates activity in the limbic circuitry. Correlations between MRI activation and levels of posttraumatic stress and anxiety were found in the UG. The data show the impact of acute and ongoing war-related stress on psychological features as well as on the cerebral structure and connectivity of stress-related cortical areas.
The analysis of the photogravitational R4BP under the combined effect of Stokes drag and oblateness within a frame of variable mass
Authors: Mittal Amit , Pal Krishan , Aggarwal Rajiv 
Published: March 2023

Abstract
In this paper, we have studied the existence, locations and stability of the equilibrium points as well as zero velocity curves (ZVCs) under the combined effect of oblateness, radiation pressure and the dissipative force (Stokes drag) in the restricted four-body problem (R4BP) with variable mass when the bigger primary (m 1) is a source of radiation and second primary (m 2) is an oblate or prolate spheroid. An equilateral triangle has been constructed by the three primaries and known as Lagrangian configuration. Jeans’ law and space time transformations of Meshcherskii have been used to derive the equations of motion of the infinitesimal body whose mass is varying. The dynamical behaviour of an infinitesimal body has been investigated under the influences of radiation pressure of bigger primary and oblateness of second primary with Stokes drag. The numerical investigation shows that all the equilibrium points are non-collinear and the collinear equilibrium points do not exist due to the presence of Stokes drag. The effect of parameters like oblateness A, radiation parameter q (0 < q < 1), α (0 < α ≤ 2.2), γ (0 < γ < 1) and dissipative constant k (0 < k < 1) have been investigated on the locations of equilibrium points and their stability. It is found that the regions of motion increase for the increasing values of the parameters A, q and α whereas these regions decrease for the increasing values of the dissipative constant k. We have also observed that all the equilibrium points are unstable for all values of the parameters used.
Deep Learning Based Object Tracking in Walking Droplet and Granular Intruder Experiments
Authors: Kara Erdi , Zhang George , Williams Joseph , Ferrandez-Quinto Gonzalo , Rhoden Leviticus J. , Kim Maximilian , Kutz J. Nathan , Rahman Amin 
Published: March 2023

Abstract
We present a deep-learning based tracking objects of interest in walking droplet and granular intruder experiments. In a typical walking droplet experiment, a liquid droplet, known as walker, propels itself laterally on the free surface of a vibrating bath of the same liquid. This motion is the result of the interaction between the droplets and the surface waves generated by the droplet itself after each successive bounce. A walker can exhibit a highly irregular trajectory over the course of its motion, including rapid acceleration and complex interactions with the other walkers present in the bath. In analogy with the hydrodynamic experiments, the granular matter experiments consist of a vibrating bath of very small solid particles and a larger solid called intruder. Like the fluid droplets, the intruder interacts with and travels the domain due to the waves of the bath but tends to move much slower and much less smoothly than the droplets. When multiple intruders are introduced, they also exhibit complex interactions with each other. We leverage the state-of-art object detection model YOLO and the Hungarian Algorithm to accurately extract the trajectory of a walker or intruder in real-time. Our proposed methodology is capable of tracking individual walker(s) or intruder(s) in digital images acquired from a broad spectrum of experimental settings and does not suffer from any identity-switch issues. Thus, the deep learning approach developed in this work could be used to automatize the efficient, fast and accurate extraction of observables of interests in walking droplet and granular intruder experiments. Such extraction capabilities are critically enabling for downstream tasks such as building data-driven dynamical models for the coarse-grained dynamics and interactions of the objects of interest.