bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of body mass index on post-treatment oral function in patients with oral cancer: a cross-sectional study
Authors: Shimamura Yukiho , Matsuda Yuhei , Takeda Mayu , Morioka Reon , Kotani Tatsuhito , Kanno Takahiro 
Published: September 2024

AbstractThis single-center cross-sectional study used sequential sampling to examine the influence of body mass index (BMI) on oral function after oral cancer treatment. Patients who completed primary oral cancer treatment between September 2019 and March 2023 (102 patients, 74 male [72.5%] and 28 female [27.5%]; mean age, 69.6 years) were analyzed. Patient background data were collected from electronic medical records. Post-treatment oral function measurements were conducted on all patients using six assessment tools. Statistical analysis was conducted using Pearson’s correlation coefficient, one-way analysis of variance, the Jonckheere–Terpstra test, and multiple linear regression. Pre-treatment BMI showed a statistically significant relationship with postoperative oral function, particularly tongue pressure (P = 0.01). While the mean values of the groups showed no significant differences, the Jonckheere–Terpstra test revealed a statistically significant trend toward a stepwise increase in tongue pressure for each BMI group (P = 0.03). Multiple linear regression analysis revealed a statistically significant correlation between tongue pressure and pre-treatment BMI (P < 0.05). Pre-treatment BMI was significantly associated with tongue pressure. Since BMI is a variable factor that can be controlled by nutritional therapy even before treatment, nutritional intervention, weight control, and treatment strategies including reconstructive interventions to maintain tongue pressure may be important in oral cancer treatment.
“Eco-friendly HPLC method for analysis of dipyrone and hyoscine in different matrices with biomonitoring”
Authors: El kalla Reem A. , Ghoniem Nermine S. , Zaazaa Hala E. , Gendy Ahmed Emad El , Sedik Ghada A. 
Published: September 2024

AbstractA selective, precise, and accurate reversed HPLC method has been developed and validated for simultaneous separation and determination of two veterinary drugs, dipyrone and hyoscine, in their combined dosage form in the presence of their official impurities, namely 4-aminoantipyrine and tropic acid, in addition to the formulated preservative: phenol. The linearity range was found to be (1.00–35.00 µg/mL) for dipyrone and (2.50–50.00 µg/mL) for hyoscine. It exhibited a satisfactory linearity regression R (0.9999) for both drugs with LOD 0.22 µg/mL and 0.72 µg/mL and LOQ 0.65 µg/mL and 2.19 µg/mL for dipyrone and hyoscine, respectively. Additionally, the two cited drugs were also determined in the presence of dipyrone active metabolite 4-aminoantipyrine using diclofenac as an internal standard in bovine urine. The linearity range was found to be (15–75 µg/mL) for dipyrone, (2.5–60 µg/mL) for hyoscine, and (2.5–60 µg/mL) for 4-aminoantipyrine with linearity regression R (0.9999–0.9998). The LLOQ (15, 2.5, 2.5 µg/mL), LQC (45, 7.5, 7.5 µg/mL), MQC (55, 25, 25 µg/mL), and HQC (60, 50 50 µg/mL) were determined for dipyrone, hyoscine and 4-aminoantipyrine, respectively. UV detection was carried out at 220 nm. The method was validated according to the ICH guidelines, as well as according to FDA guidelines for determining both drugs in bioanalytical matrices and both proved accuracy and precision. A statistical comparison was made between the results obtained and those obtained by the reported method, showing no significant difference in accuracy and precision at p = 0.05. The suggested method was proved eco-friendly through a greenness assessment using two different tools (The analytical eco-scale scored 83, and the AGREE-Analytical Greenness Metric approach scored 0.83). The suggested method can be used in the routine work of quality control labs, screening for drug abuse, and ensuring clean sport for horse racing.
Utilization of industrial waste materials for the preparation of wollastonite by temperature-induced forming technique
Authors: Abo-Almaged H. H. , Ngida Rehab E. A. , Ajiba N. A. , Sadek H. E. H. , Khattab R. M. 
Published: September 2024

AbstractThe study focuses on synthesizing wollastonite using bypass and silica fume waste materials as starting materials. The novelty of this work is the utilization of temperature-induced forming technique for the synthesis of wollastonite. Bypass and silica fume are mixed with various CaO/SiO2 ratios and then cast and fired at temperatures ranging from 900 to 1200 °C. Rheological properties and zeta potential are characterized for the slurries to optimize the dispersant percentage. The fired samples' phase composition, structure properties, apparent porosity, linear shrinkage, and compressive strength are characterized. Results show that the sample with a CaO: SiO2 ratio of 1:1.45 is the optimum composition for forming mainly pure β-wollastonite at 1100 °C, which changed into pseudo-wollastonite at about 1150 °C. The best physical and mechanical properties are obtained at 1170 °C, including apparent porosity of 8%, bulk density of 2.2 g/cm3, linear shrinkage of 13%, and compressive strength of 40 MPa, which widens its ceramic applications.
Hippocampal and limbic microstructure changes associated with stress across the lifespan: a UK biobank study
Authors: McManus Elizabeth , Haroon Hamied , Duncan Niall W. , Elliott Rebecca , Muhlert Nils 
Published: September 2024

AbstractExperiencing highly stressful events can have detrimental and lasting effects on brain morphology. The current study explores the effects of stress during childhood and adulthood on grey matter macro- and microstructure using a sub-sample of 720 participants from the UK Biobank with very high or very low childhood and adulthood stress scores. We used T1-weighted and diffusion MRI data to assess grey matter macro- and microstructure within bilateral hippocampus, amygdala and thalamus. Findings showed that childhood stress is associated with changes in microstructural measures bilaterally within the hippocampus and amygdala. No effects of adulthood stress on brain microstructure were found. No interaction effects between sex and stress (either childhood or adulthood) were observed for any brain imaging measure. Analysis of sub-segments of the hippocampus showed that childhood stress predominantly impacted the bilateral heads of the hippocampus. Overall, these findings suggest that highly stressful experiences during childhood, but not adulthood, have lasting impact on brain microstructure. The effects of these experiences in childhood appear to persist regardless of experiences of high or low stress in adulthood.
Text classification models for assessing the completeness of randomized controlled trial publications based on CONSORT reporting guidelines
Authors: Jiang Lan , Lan Mengfei , Menke Joe D. , Vorland Colby J. , Kilicoglu Halil 
Published: September 2024

AbstractComplete and transparent reporting of randomized controlled trial publications (RCTs) is essential for assessing their credibility. We aimed to develop text classification models for determining whether RCT publications report CONSORT checklist items. Using a corpus annotated with 37 fine-grained CONSORT items, we trained sentence classification models (PubMedBERT fine-tuning, BioGPT fine-tuning, and in-context learning with GPT-4) and compared their performance. We assessed the impact of data augmentation methods (Easy Data Augmentation (EDA), UMLS-EDA, text generation and rephrasing with GPT-4) on model performance. We also fine-tuned section-specific PubMedBERT models (e.g., Methods) to evaluate whether they could improve performance compared to the single full model. We performed 5-fold cross-validation and report precision, recall, F1 score, and area under curve (AUC). Fine-tuned PubMedBERT model that uses the sentence along with the surrounding sentences and section headers yielded the best overall performance (sentence level: 0.71 micro-F1, 0.67 macro-F1; article-level: 0.90 micro-F1, 0.84 macro-F1). Data augmentation had limited positive effect. BioGPT fine-tuning and GPT-4 in-context learning exhibited suboptimal results. Methods-specific model improved recognition of methodology items, other section-specific models did not have significant impact. Most CONSORT checklist items can be recognized reasonably well with the fine-tuned PubMedBERT model but there is room for improvement. Improved models can underpin the journal editorial workflows and CONSORT adherence checks.
Extracorporeal membrane oxygenation in cardiovascular medication poisoning. A German-wide retrospective study
Authors: Friedrichson Benjamin , Jasny Thomas , Old Oliver , Piekarski Florian , Ippolito Angelo , Raimann Florian J. , Zacharowski Kai , Kloka Jan Andreas 
Published: September 2024

AbstractMedication poisoning, resulting from the ingestion of cardiotoxic drugs, presents a significant health issue. The mortality rate remains high for patients with myocardial dysfunction refractory to conventional treatments. Venoarterial Extracorporeal Membrane Oxygenation (V-A ECMO) provides temporary support, potentially enhancing patient outcomes. This study aims to assess the efficacy of V-A ECMO in treating cardiovascular failure induced by cardiovascular medication poisoning. We utilized inpatient data from all hospitalisations in Germany from 2007 to 2022 due to cardiovascular medication poisoning treated with V-A ECMO. Patient characteristics, comorbidities, complications and application of ECMO were described descriptively and analysed for statistical significance between survivors and non-survivors. Overall, 49 patients received V-A ECMO for cardiovascular medication poisoning, with a survival rate of 63.6%. The most ingested medications were calcium-channel blockers (38.8%) and beta-adrenoceptor antagonists (34.7%). Half of non-survivors received in-hospital CPR, compared to 12.9% of survivors. Early ECMO implantation (within 24 h of admission) was common (83.7%) but did not significantly impact survival rates. A substantial number of patients presented with multiple substances ingested. V-A ECMO represents a viable option for patients experiencing cardiac failure due to medication poisoning. A structured implementation of V-A ECMO for cardiovascular medication poisoning could lead to higher survival rates.
Intelligence model on sequence-based prediction of PPI using AISSO deep concept with hyperparameter tuning process
Authors: Thareja Preeti , Chhillar Rajender Singh , Dalal Sandeep , Simaiya Sarita , Lilhore Umesh Kumar , Alroobaea Roobaea , Alsafyani Majed , Baqasah Abdullah M. , Algarni Sultan 
Published: September 2024

AbstractProtein–protein interaction (PPI) prediction is vital for interpreting biological activities. Even though many diverse sorts of data and machine learning approaches have been employed in PPI prediction, performance still has to be enhanced. As a result, we adopted an Aquilla Influenced Shark Smell (AISSO)-based hybrid prediction technique to construct a sequence-dependent PPI prediction model. This model has two stages of operation: feature extraction and prediction. Along with sequence-based and Gene Ontology features, unique features were produced in the feature extraction stage utilizing the improved semantic similarity technique, which may deliver reliable findings. These collected characteristics were then sent to the prediction step, and hybrid neural networks, such as the Improved Recurrent Neural Network and Deep Belief Networks, were used to predict the PPI using modified score level fusion. These neural networks’ weight variables were adjusted utilizing a unique optimal methodology called Aquila Influenced Shark Smell (AISSO), and the outcomes showed that the developed model had attained an accuracy of around 88%, which is much better than the traditional methods; this model AISSO-based PPI prediction can provide precise and effective predictions.
Short-lived calcium carbonate precursors observed in situ via Bullet-dynamic nuclear polarization
Authors: Turhan Ertan , Minaei Masoud , Narwal Pooja , Meier Benno , Kouřil Karel , Kurzbach Dennis 
Published: September 2024

AbstractThe discovery of (meta)stable pre-nucleation species (PNS) challenges the established nucleation-and-growth paradigm. While stable PNS with long lifetimes are readily accessible experimentally, identifying and characterizing early-stage intermediates with short lifetimes remains challenging. We demonstrate that species with lifetimes ≪ 5 s can be characterized by nuclear magnetic resonance spectroscopy when boosted by ‘Bullet’ dynamic nuclear polarization (Bullet-DNP). We investigate the previously elusive early-stage prenucleation of calcium carbonates in the highly supersaturated concentration regime, characterizing species that form within milliseconds after the encounter of calcium and carbonate ions and show that ionic pre-nucleation species not only govern the solidification of calcium carbonates at weak oversaturation but also initiate rapid precipitation events at high concentrations. Such, we report a transient co-existence of two PNS with distinct molecular sizes and different compositions. This methodological advance may open new possibilities for studying and exploiting carbonate-based material formation in unexplored parts of the phase space.
Chronology of Ediacaran sedimentary and biogeochemical shifts along eastern Gondwanan margins
Authors: Cantine Marjorie D. , Rooney Alan D. , Knoll Andrew H. , Gómez-Pérez Irene , al Baloushi Badar , Bergmann Kristin D. 
Published: September 2024

AbstractDetermining causal relationships between environmental change and early animal evolution has been limited by our lack of a robust temporal framework for the Ediacaran Period (635-539 million years ago). Here we present six new radioisotopic age constraints from the Sultanate of Oman, which furnish a quantitative temporal framework for biogeochemical changes associated with animal radiation in the middle and late Ediacaran Period. In addition to constraining the duration of Earth’s largest negative carbon isotope excursion in its type locality, this temporal framework underpins a new understanding of Ediacaran sedimentation rates, a critical control on geochemical records and fossil preservation. Our new dates quantify early Ediacaran (prior to c. 574 million years ago) condensation in key sections across Gondwanan margins. This temporal framework highlights a pressing need to reassess proxy records of oxygenation—often hypothesized as a critical environmental constraint for the emergence of complex multicellular life—considering non-static sedimentation rates.
SPANet: Spatial perceptual activation network for camouflaged object detection
Authors: Zhang Jianhao , Yang Gang , Dai Xun , Yang Pengyu 
Published: September 2024

AbstractCamouflaged object detection (COD) aims to segment objects embedded in the environment from the background. Most existing methods are easily affected by background interference in cluttered environments and cannot accurately locate camouflage areas, resulting in over‐segmentation or incomplete segmentation structures. To effectively improve the performance of COD, we propose a spatial perceptual activation network (SPANet). SPANet extracts the spatial positional relationship between each object in the scene by activating spatial perception and uses it as global information to guide segmentation. It mainly consists of three modules: perceptual activation module (PAM), feature inference module (FIM), and interaction recovery module (IRM). Specifically, the authors design a PAM to model the positional relationship between the camouflaged object and the surrounding environment to obtain semantic correlation information. Then, a FIM that can effectively combine correlation information to suppress background interference and re‐encode to generate multi‐scale features is proposed. In addition, to further fuse multi‐scale features, an IRM to mine the complementary information and differences between features at different scales is designed. Extensive experimental results on four widely used benchmark datasets (i.e. CAMO, CHAMELEON, COD10K, and NC4K) show that the authors’ method outperforms 13 state‐of‐the‐art methods.
Non‐linear coordinated control of LPMG‐based direct drive wave energy conversion system with supplementary energy storage system based on feedback linearization
Authors: Sang Yiyan , Sheng Jiamin , Xue Hua , Wang Yufei , Wu Qigang 
Published: September 2024

AbstractThe linear permanent magnet generator (LPMG)‐based direct drive wave energy conversion system (DDWECS) works under perpetual fluctuations of ocean waves. Short‐term energy storage, such as electrochemical energy storage, is usually adopted in a supplementary energy storage system (SESS) to buffer power fluctuations. Since the investigated DDWECS consists of various non‐linear components such as insulated gate bipolar transistors (IGBTs)‐based power electronic converters, the unremitting changes of system working conditions caused by ocean wave effects will degrade the dynamic performance with conventional linear controllers which are implemented via local linearization around a single working condition. This paper proposes the multiple feedback linearization based non‐linear coordinated control (MFLNCC) scheme for coordinating non‐linear plants in DDWECS with SESS such as the machine‐side converter (MSC), the grid‐side converter (GSC) and DC/DC converter in SESS. The enhanced dynamic performance of the proposed MFLNCC in DDWECS with SESS is validated under different scenarios.
On the use of self-reports in marketing research: insights about initial response biases from daily diary data
Authors: Blozis Shelley A. , Villarreal Ricardo 
Published: September 2024

AbstractSelf-report data are regularly used in marketing research when consumer perceptions are central to understanding consumer responses to marketing efforts. Self-report data are convenient and cost-effective. A widely known response bias that is inherent to self-report data and illuminated by daily diary data is a tendency of the first report by study participants to be more extreme relative to responses at subsequent points in time but no such effects are expected. A critical issue is that statistical data summaries can be impacted and generate misleading conclusions about perceptions. This article demonstrates the impact of initial-report effects by analyzing self-report daily diary media use (TV) data from an observational study. Based on a large and representative sample of adults in the U.S., there was a greater tendency for respondents to report watching TV, and given that TV was watched, to report more time spent watching TV on the first interview day relative to subsequent days. Initial-report effects were also evident in tests of the effects of daily and daily averages of positive and negative affect on the likeliness to watch TV and reported time spent, further indicating the importance of accounting for first-report effects in studies of media use. The need to collect repeated measures of self-report data in consumer research is also highlighted by this evidence of these response patterns that would otherwise be undetectable.
Differential Bunching Impacts Across the Income Distribution: Evidence from Tax Administrative Data
Authors: Adu-Ababio Kwabena , Bryson Samuel , Mwale Evaristo , Rand John 
Published: September 2024

Abstract
We investigate the behavioural responses of individual taxpayers to changes in marginal personal income tax rates applying empirical bunching methodology to tax administrative data from Zambia over the period from 2014 to 2021. We find evidence for excess bunching at the first kink in the tax schedule for all years but less evidence of bunching at the second and third thresholds. While bunching is considerable and behavioural responses are observed to changes in the location of the kinks over time, bunching at reference points (’round-number bunching’) also appears large. Implied elasticities of taxable income are however not remarkable, and comparing actual and estimated counterfactual wage distributions reveal that missed tax revenue arising from the excess bunching is limited. This is consistent with the observed bunching reacting sharply and immediately to changes in the location of the kink points over time, suggesting that observed behavioural change is driven by reporting behaviour rather than real economic responses.
A stretching apparatus with broad strain rate and temperature ranges for in-situ x-ray scattering measurements of polymers
Authors: Lu Yimin , Yang Erjie , Zhu Jianhe , Liu Shenghui , Cui Kunpeng , Guo Hang , Li Liangbin 
Published: September 2024

A stretching apparatus capable of conducting tensile tests over a broad strain rate range (10−3–250 s−1) and a wide temperature range (−75–250 °C) has been designed for polymeric materials, in particular the polymeric films. Specifically, this stretching apparatus can be combined with in situ ultrasmall-, small-, and wide-angle x-ray scattering (USAXS/SAXS/WAXS) measurements. The sample stretching is achieved through the synchronized rotation of rolls, powered by servo motors. The output electrical signal extracted from a torque sensor, when combined with the rotational speed of rolls and initial sample dimensions, enables the determination of the relationship between engineering stress (σ) and Hencky strain (ε). With the sample chamber and precise control loop, the prescribed temperature can be achieved using either hot airflow for heating or cold liquid nitrogen flow for cooling. By integrating this stretching apparatus with a high brilliance x-ray source at beamline BL10U1 in Shanghai Synchrotron Radiation Facility (SSRF) and detectors featuring ultrafast acquisition rates, it becomes possible to monitor multiscale structure evolutions of polymeric samples under harsh conditions involving high-speed loading combined with varying temperatures.
Exploring photoionization of gas-phase free radicals with a widely tunable VUV laser at moderate spectral resolution
Authors: Le H. L. , Chen N. L. , Jiang M. , Le Bris C. , Charrière C. , Boyé-Péronne S. , Loison J.-C. , Jacovella U. , Gans B. 
Published: September 2024

The VUv Laser for Considering Astrophysical and Isolated Molecules (VULCAIMs) setup [Harper et al., Phys. Chem. Chem. Phys. 24, 2777 (2022)] integrates a narrow-bandwidth tunable vacuum ultraviolet (VUV) and extreme ultraviolet (XUV) nanosecond-pulsed laser system (6–16 eV) and a photoelectron spectrometer, designed for recording high-spectral-resolution (rotationally resolved) photoelectron spectra of gas-phase free radicals. This approach usually needs beforehand medium-resolution synchrotron data to guide the selection of specific spectral regions to be investigated at higher resolution with the VULCAIM setup. We present an upgraded version of the VUV laser system integrating an optical parametric oscillator for continuously scanned medium-resolution measurements (&lt;3 cm−1) across the whole VUV and XUV spectral ranges. This innovation enables broader coverage without the need to access synchrotron facilities. Furthermore, rapid mode switching allows for maintaining optimized radical production conditions from mid-resolution to high-resolution operation mode, enhancing spectroscopy capabilities significantly. The new capabilities of the VULCAIM setup are illustrated on two showcases of photoionization studies: the nitric oxide (NO) stable molecular species and the benzyl (C6H5CH2) free radical produced by pyrolysis.