bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical outcomes of short dental implants supporting prostheses in the posterior region
Authors: Hirani Murtaza , Arnantha Hannah , Al-Mossallami Azza , Paolinelis George 
Published: July 2024

AbstractAim In clinically challenging scenarios with limited bone height and anatomical restrictions, the use of short implants have been proposed as a potential treatment strategy. The purpose of this retrospective study was to evaluate the clinical outcomes of short implants supporting prostheses in the posterior premolar region of the maxilla and mandible.Materials and methods A total of 30 patients requiring short 6 mm length implant placement in the posterior premolar region were included. Following a period of osseointegration, the implants were restored with either single crowns, fixed bridges or implant-supported removable overdentures. Implant and prosthetic survival with technical complications were recorded.Results In total, 45 implants were placed, with four failures reported before loading in two patients, resulting in a patient implant survival rate of 93.3% over the two-year follow-up. There was no statistically significant difference found between implant failure and arch placement. Prosthetic survival was 100% and minor technical complications recorded were low.Conclusion This study showed that short 6 mm implants could provide a viable treatment option, with high survival rates comparable with alternative bone augmentation procedures. Further research with longer observation periods would be required to validate these current findings.
Whole cervix imaging of collagen, muscle, and cellularity in term and preterm pregnancy
Authors: Wu Wenjie , Sun Zhexian , Gao Hansong , Nan Yuan , Pizzella Stephanie , Xu Haonan , Lau Josephine , Lin Yiqi , Wang Hui , Woodard Pamela K. , Krigman Hannah R. , Wang Qing , Wang Yong 
Published: July 2024

AbstractCervical softening and dilation are critical for the successful term delivery of a fetus, with premature changes associated with preterm birth. Traditional clinical measures like transvaginal ultrasound and Bishop scores fall short in predicting preterm births and elucidating the cervix’s complex microstructural changes. Here, we introduce a magnetic resonance diffusion basis spectrum imaging (DBSI) technique for non-invasive, comprehensive imaging of cervical cellularity, collagen, and muscle fibers. This method is validated through ex vivo DBSI and histological analyses of specimens from total hysterectomies. Subsequently, retrospective in vivo DBSI analysis at 32 weeks of gestation in ten term deliveries and seven preterm deliveries with inflammation-related conditions shows distinct microstructural differences between the groups, alongside significant correlations with delivery timing. These results highlight DBSI’s potential to improve understanding of premature cervical remodeling and aid in the evaluation of therapeutic interventions for at-risk pregnancies. Future studies will further assess DBSI’s clinical applicability.
The neurotransmitter calcitonin gene-related peptide shapes an immunosuppressive microenvironment in medullary thyroid cancer
Authors: Hou Yingtong , Lin Bo , Xu Tianyi , Jiang Juan , Luo Shuli , Chen Wanna , Chen Xinwen , Wang Yuanqi , Liao Guanrui , Wang Jianping , Zhang Jiayuan , Li Xuyang , Xiang Xiao , Xie Yubin , Wang Ji , Peng Sui , Lv Weiming , Liu Yihao , Xiao Haipeng 
Published: July 2024

AbstractNeurotransmitters are key modulators in neuro-immune circuits and have been linked to tumor progression. Medullary thyroid cancer (MTC), an aggressive neuroendocrine tumor, expresses neurotransmitter calcitonin gene-related peptide (CGRP), is insensitive to chemo- and radiotherapies, and the effectiveness of immunotherapies remains unknown. Thus, a comprehensive analysis of the tumor microenvironment would facilitate effective therapies and provide evidence on CGRP’s function outside the nervous system. Here, we compare the single-cell landscape of MTC and papillary thyroid cancer (PTC) and find that expression of CGRP in MTC is associated with dendritic cell (DC) abnormal development characterized by activation of cAMP related pathways and high levels of Kruppel Like Factor 2 (KLF2), correlated with an impaired activity of tumor infiltrating T cells. A CGRP receptor antagonist could offset CGRP detrimental impact on DC development in vitro. Our study provides insights of the MTC immunosuppressive microenvironment, and proposes CGRP receptor as a potential therapeutic target.
Emittance preservation in a plasma-wakefield accelerator
Authors: Lindstrøm C. A. , Beinortaitė J. , Björklund Svensson J. , Boulton L. , Chappell J. , Diederichs S. , Foster B. , Garland J. M. , González Caminal P. , Loisch G. , Peña F. , Schröder S. , Thévenet M. , Wesch S. , Wing M. , Wood J. C. , D’Arcy R. , Osterhoff J. 
Published: July 2024

AbstractRadio-frequency particle accelerators are engines of discovery, powering high-energy physics and photon science, but are also large and expensive due to their limited accelerating fields. Plasma-wakefield accelerators (PWFAs) provide orders-of-magnitude stronger fields in the charge-density wave behind a particle bunch travelling in a plasma, promising particle accelerators of greatly reduced size and cost. However, PWFAs can easily degrade the beam quality of the bunches they accelerate. Emittance, which determines how tightly beams can be focused, is a critical beam quality in for instance colliders and free-electron lasers, but is particularly prone to degradation. We demonstrate, for the first time, emittance preservation in a high-gradient and high-efficiency PWFA while simultaneously preserving charge and energy spread. This establishes that PWFAs can accelerate without degradation—an essential step toward energy boosters in photon science and multistage facilities for compact high-energy particle colliders.
A single-particle mechanofluorescent sensor
Authors: Ahmadi Narges , Lee Jieun , Godiya Chirag Batukbhai , Kim Jong-Man , Park Bum Jun 
Published: July 2024

AbstractMonitoring mechanical stresses in microchannels is challenging. Herein, we report the development of a mechanofluorescence sensor system featuring a fluorogenic single polydiacetylene (PDA) particle, fabricated using a co-flow microfluidic method. We construct a stenotic vessel-mimicking capillary channel, in which the hydrodynamically captured PDA particle is subjected to controlled fluid flows. Fluorescence responses of the PDA particle are directly monitored in real time using fluorescent microscopy. The PDA particle displays significant nonlinear fluorescence emissions influenced by fluid viscosity and the presence of nanoparticles and biomolecules in the fluid. This nonlinear response is likely attributed to the torsion energy along the PDA’s main chain backbone. Computational fluid dynamic simulations indicate that the complete blue-to-red transition necessitates ~307 μJ, aligning with prior research. We believe this study offers a unique advantage for simulating specific problematic regions of the human body in an in vitro environment, potentially paving the way for future exploration of difficult-to-access areas within the body.
Global patterns and drivers of fish reproductive potential on coral reefs
Authors: Hadj-Hammou Jeneen , Cinner Joshua E. , Barneche Diego R. , Caldwell Iain R. , Mouillot David , Robinson James P. W. , Schiettekatte Nina M. D. , Siqueira Alexandre C. , Taylor Brett M. , Graham Nicholas A. J. 
Published: July 2024

AbstractFish fecundity scales hyperallometrically with body mass, meaning larger females produce disproportionately more eggs than smaller ones. We explore this relationship beyond the species-level to estimate the “reproductive potential” of 1633 coral reef sites distributed globally. We find that, at the site-level, reproductive potential scales hyperallometrically with assemblage biomass, but with a smaller median exponent than at the species-level. Across all families, modelled reproductive potential is greater in fully protected sites versus fished sites. This difference is most pronounced for the important fisheries family, Serranidae. When comparing a scenario where 30% of sites are randomly fully protected to a current protection scenario, we estimate an increase in the reproductive potential of all families, and particularly for Serranidae. Such results point to the possible ecological benefits of the 30 × 30 global conservation target and showcase management options to promote the sustainability of population replenishment.
Ferroelectric polarization and magnetic structure at domain walls in a multiferroic film
Authors: Tao Ang , Jiang Yixiao , Chen Shanshan , Zhang Yuqiao , Cao Yi , Yao Tingting , Chen Chunlin , Ye Hengqiang , Ma Xiu-Liang 
Published: July 2024

AbstractDomain walls affect significantly ferroelectric and magnetic properties of magnetoelectric multiferroics. The stereotype is that the ferroelectric polarization will reduce at the domain walls due to the incomplete shielding of depolarization field or the effects of gradient energy. By combining transmission electron microscopy and first-principles calculations, we demonstrate that the ferroelectric polarization of tail-to-tail 180° domain walls in ε-Fe2O3is regulated by the bound charge density. A huge enhancement (43%) of ferroelectric polarization is observed in the type I domain wall with a low bound charge density, while the ferroelectric polarization is reduced to almost zero at the type II domain wall with a high bound charge density. The magnetic coupling across the type I and type II ferroelectric domain walls are antiferromagnetic and ferromagnetic, respectively. Revealing mechanisms for enhancing ferroelectric polarization and magnetic behaviors at ferroelectric domain walls may promote the fundamental research and potential applications of magnetoelectric multiferroics.
Self-consistent signal transduction analysis for modeling context-specific signaling cascades and perturbations
Authors: Cole John 
Published: July 2024

AbstractBiological signal transduction networks are central to information processing and regulation of gene expression across all domains of life. Dysregulation is known to cause a wide array of diseases, including cancers. Here I introduce self-consistent signal transduction analysis, which utilizes genome-scale -omics data (specifically transcriptomics and/or proteomics) in order to predict the flow of information through these networks in an individualized manner. I apply the method to the study of endocrine therapy in breast cancer patients, and show that drugs that inhibit estrogen receptor α elicit a wide array of antitumoral effects, and that their most clinically-impactful ones are through the modulation of proliferative signals that control the genes GREB1, HK1, AKT1, MAPK1, AKT2, and NQO1. This method offers researchers a valuable tool in understanding how and why dysregulation occurs, and how perturbations to the network (such as targeted therapies) effect the network itself, and ultimately patient outcomes.
Lysine l-lactylation is the dominant lactylation isomer induced by glycolysis
Authors: Zhang Di , Gao Jinjun , Zhu Zhijun , Mao Qianying , Xu Zhiqiang , Singh Pankaj K. , Rimayi Cornelius C. , Moreno-Yruela Carlos , Xu Shuling , Li Gongyu , Sin Yi-Cheng , Chen Yue , Olsen Christian A. , Snyder Nathaniel W. , Dai Lunzhi , Li Lingjun , Zhao Yingming 
Published: July 2024

AbstractLysine l-lactylation (Kl-la) is a novel protein posttranslational modification (PTM) driven by l-lactate. This PTM has three isomers: Kl-la, N-ε-(carboxyethyl)-lysine (Kce) and d-lactyl-lysine (Kd-la), which are often confused in the context of the Warburg effect and nuclear presence. Here we introduce two methods to differentiate these isomers: a chemical derivatization and high-performance liquid chromatography analysis for efficient separation, and isomer-specific antibodies for high-selectivity identification. We demonstrated that Kl-la is the primary lactylation isomer on histones and dynamically regulated by glycolysis, not Kd-la or Kce, which are observed when the glyoxalase system was incomplete. The study also reveals that lactyl-coenzyme A, a precursor in l-lactylation, correlates positively with Kl-la levels. This work not only provides a methodology for distinguishing other PTM isomers, but also highlights Kl-la as the primary responder to glycolysis and the Warburg effect.
The asymptotic solutions for the motion of a charged symmetric gyrostat in the irrational frequency case
Authors: Amer T. S. , Abady I. M. , Abdo H. A. , El-Kafly H. F. 
Published: July 2024

AbstractThe primary objective of this study is to explore the spatial rotary movements of a symmetrically charged rigid body (RB) that is rotating around a fixed point, akin to Lagrange’s scenario as a novel scenario where its center of mass experiences a slight displacement from the symmetry dynamic axis. The body’s movement is presumed to be affected by a gyrostatic moment and a force from an electromagnetic field, attributed to the presence of a located point charge on this axis. The regulating equations of motion that are pertaining to the equations Euler–Poisson are solved through the utilization of Poincaré’s small parameter method along with its adaptations when the scenario of irrational frequencies is considered. The three angles of Euler are derived and graphed to ascertain the body’s position at any point throughout the motion. The temporal evolutions of the achieved outcomes are drawn to showcase the significant impact of the selected parameters on the motion. The phase plane diagrams have been generated to illustrate the stability of the body during the motion. The novelty of studying the rotatory motion of a charged RB under these specific conditions lies in the intricate interplay of gyrostatic effects, magnetic interactions, and nonlinear dynamics. This research can push the boundaries of theoretical mechanics and provide valuable insights and tools for both theoretical advancements and practical applications. Moreover, the achieved results from this analysis can be utilized to improve the dynamic performance of diverse engineering applications, particularly those dependent on gyroscopic theory. This includes enhancing the functionality of satellites, compasses, submarines, and automatic pilots used in aircraft. Essentially, the findings have practical implications for optimizing the performance and stability of these systems.
Machine learning and interactive GUI for concrete compressive strength prediction
Authors: Elshaarawy Mohamed Kamel , Alsaadawi Mostafa M. , Hamed Abdelrahman Kamal 
Published: July 2024

AbstractConcrete compressive strength (CS) is a crucial performance parameter in concrete structure design. Reliable strength prediction reduces costs and time in design and prevents material waste from extensive mixture trials. Machine learning techniques solve structural engineering challenges such as CS prediction. This study used Machine Learning (ML) models to enhance the prediction of CS, analyzing 1030 experimental CS data ranging from 2.33 to 82.60 MPa from previous research databases. The ML models included both non-ensemble and ensemble types. The non-ensemble models were regression-based, evolutionary, neural network, and fuzzy-inference-system. Meanwhile, the ensemble models consisted of adaptive boosting, random forest, and gradient boosting. There were eight input parameters: cement, blast-furnace-slag, aggregates (coarse and fine), fly ash, water, superplasticizer, and curing days, with the CS as the output. Comprehensive performance evaluations include visual and quantitative methods and k-fold cross-validation to assess the study’s reliability and accuracy. A sensitivity analysis using Shapley-Additive-exPlanations (SHAP) was conducted to understand better how each input variable affects CS. The findings showed that the Categorical-Gradient-Boosting (CatBoost) model was the most accurate prediction during the testing stage. It had the highest determination-coefficient (R2) of 0.966 and the lowest Root-Mean-Square-Error (RMSE) of 3.06 MPa. The SHAP analysis showed that the age of the concrete was the most critical factor in the predictive accuracy. Finally, a Graphical User Interface (GUI) was offered for designers to predict concrete CS quickly and economically instead of costly computational or experimental tests.
Targeted co-expression networks for the study of traits
Authors: Gómez-Pascual A. , Rocamora-Pérez G. , Ibanez L. , Botía J. A. 
Published: July 2024

AbstractWeighted Gene Co-expression Network Analysis (WGCNA) is a widely used approach for the generation of gene co-expression networks. However, networks generated with this tool usually create large modules with a large set of functional annotations hard to decipher. We have developed TGCN, a new method to create Targeted Gene Co-expression Networks. This method identifies the transcripts that best predict the trait of interest based on gene expression using a refinement of the LASSO regression. Then, it builds the co-expression modules around those transcripts. Algorithm properties were characterized using the expression of 13 brain regions from the Genotype-Tissue Expression project. When comparing our method with WGCNA, TGCN networks lead to more precise modules that have more specific and yet rich biological meaning. Then, we illustrate its applicability by creating an APP-TGCN on The Religious Orders Study and Memory and Aging Project dataset, aiming to identify the molecular pathways specifically associated with APP role in Alzheimer’s disease. Main biological findings were further validated in two independent cohorts. In conclusion, we provide a new framework that serves to create targeted networks that are smaller, biologically relevant and useful in high throughput hypothesis driven research. The TGCN R package is available on Github: https://github.com/aliciagp/TGCN.
Higher processing repeatability of myocardial flow reserve calculated using net retention model compared to one compartment model in SPECT studies
Authors: Cichocki Pawel , Plachcinska Anna , Blaszczyk Michal , Adamczewski Zbigniew 
Published: July 2024

AbstractDynamic assessment of myocardial blood flow (MBF) and myocardial flow reserve (MFR) provides additional information that can improve diagnostic accuracy of radionuclide myocardial perfusion imaging in some clinical situations. This study assessed processing repeatability of these parameters calculated using two models—net retention (RET) and one compartment (1CM) in dynamic SPECT studies, using the latest version of Corridor 4DM software (v2024). Data of 107 patients were analyzed retrospectively (57 of whom were assessed in our previous study using 4DM v2015). Dynamic SPECT studies were carried out using a routine two-day rest-dipyridamole protocol. Data was processed in 4DM v2024 twice by one operator and once by another operator. Automatic heart image positioning during post-processing in 4DM v2024 was significantly improved compared to v2015, reducing the number of studies requiring extensive manual corrections from 41 to 12%. This significantly improved interobserver processing repeatability of MFR values in RCA territory compared to our previous study using v2015—from r = 0.67 to 0.85 (p = 0.0034). Interobserver processing repeatability of MBF and MFR in all 107 patients was significantly better in RET model compared to 1CM model. In conclusion, RET model is more reliable for calculating MBF and MFR values based on dynamic SPECT studies.
Specific emitter identification under extremely small sample conditions via chaotic integration
Authors: Zhang Haotian , Jiang Yuan , Zhao Lei , Peng Bo 
Published: July 2024

AbstractAs a potential solution to improve wireless security, specific emitter identification is a lightweight access authentication technology. However, the existed deep learning‐based specific emitter identification methods are highly dependent on the training sample size, leading to serious overfitting problem when the training samples are inadequate, which obstructs their practical applications. To address this issue, an innovative data augmentation method to effectively expand the sample size is proposed. In this design, after data preprocessing, a random integration based data augmentation is applied to integrate several initial samples and generate new samples. Furthermore, compared with the existed methods, chaotic sequences are utilized to randomly set the integration weight of each initial sample, and thus enhancing the diversity of augmented samples. The superiority of the proposed chaotic integration‐based data augmentation method in accuracy, generalization ability and robustness is validated by the hardware implementation on digital mobile radio portable radios.
Variation in Asian and Pacific Islander North American English
Authors: Cheng Andrew , Cheng Lauretta , Gonzales Wilkinson Daniel Wong , Umbal Pocholo 
Published: July 2024

Abstract
Within sociolinguistic research on English variation, Asian and Pacific Islander North Americans (APINAs) are
frequently described as an “understudied population” due to the relative lack of published studies that analyze these speakers or
communities. This structured literature review systematically characterizes the state of the field from a variationist
perspective. We find that while studies on APINAs have become more common in the last decade, different groups are represented
unevenly in the existing literature; for example, East Asian groups are commonly represented in the literature in contrast to
South Asian groups. Furthermore, the vast majority of variationist studies analyze phonetic and phonological variation, with a
theoretical focus on identifying participation in race-based varieties (ethnolects/raciolects) or in sound changes of the
“majority” population, rather than using the inherent diversity of APINA groups to bring attention to how race and ethnicity are
being used in Sociolinguistics.
Bourdieu’s trajectory concept as an approach to microhistorical research in translation
Authors: Ali Hisham M. 
Published: July 2024

Abstract
This article explores the potential of Bourdieu’s trajectory concept as an approach to microhistorical research, using the life history of Egypt’s late Minister of Culture Tharwat Okasha as a case study. The focus throughout is on Okasha’s multipositionality throughout his trajectory as a military officer and then as a military attaché in France between 1939 and 1956. Through a close reading of memoirs, translations and writings, the article investigates how he traversed different fields (the military, psychology, history and journalism) and the effect of this movement on his translation practices. In so doing, the article integrates this analysis into a sociological examination of the politics of the Free Officers, who led the 1952 coup, and argues that the relational concept of trajectory allows the reconstruction of history at the intersection between the lived experience of an individual and the network of agents engaged in the same fields.