bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lesion size affects the risk of technical difficulty in gastric endoscopic submucosal dissection
Authors: Zhao Yuqi , Pan Xiaogao , Chen Yihan , Tan Yuyong , Liu Deliang 
Published: January 2024

AbstractCurrent evidence shows an inter-country inconsistency in the effect of lesion size on the technical difficulty of gastric endoscopic submucosal dissection (ESD). We aimed to evaluate the specific correlation and quantify the ensuing risks. This retrospective study consisted of 405 ESD cases with gastric single lesion from April 2015 to April 2023. The correlation and risk prediction of lesion size with technical difficulty was explored to provide further clinical evidence. An additive generalized model and recursive algorithm were used to describe the non-linear association, and a linear two-piece regression was constructed to analyze the inflection point. Subgroup analysis and interaction were used to explore intergroup characteristics. Overall, difficult cases had larger lesion sizes, and the more significant the increase, the higher the risk of technical difficulty. In the full model, after adjusting for all covariates, each 1 mm, 3 mm, 5 mm, 7 mm, and one standard increase in lesion size increased the risk of technical difficulty by 8%, 26%, 42%, 72%, and 125%, respectively. There is a nonlinear positive correlation between lesion size and risk of technical difficulty, and the premeditated inflection point was 40 (mm) via two-piecewise linear regression and recursive algorithm. Subgroup analysis showed a stronger correlation between lesion size and difficult ESD in the upper site and submucosal fibrosis groups. Available evidence suggests that lesion size as a risk signal nonlinearly increases the technical difficulty of gastric ESD procedure, especially in cases of upper site and submucosal fibrosis, which deserves further investigation.
Synthesis of highly substituted 1,3-dienes through halonium promoted 1,2-sulfur migration of propargylic thioethers
Authors: Martínez-Núñez Clara , Velasco Noelia , Sanz Roberto , Suárez-Pantiga Samuel 
Published: January 2024

Highly regio- and diastereoselective synthesis of 2-thiorganyl 1-bromo or 1-iodo-1,3-dienes is reported via 1,2-sulfur migration of propargylic sulfides. These dienes are precursors of thiophenes and selenophenes by reaction with sulfur or selenium.
Reflecting on Relationally Focused Critical Incidents: Investigating the Use of Reflective Writing to Support Conflict-Handling Skills During Speech-Language Pathology Student Internships
Authors: Hollister Julia E. , Kadir Keralyn A. , Daher Noha S. 
Published: January 2024

Purpose:
Handling conflict successfully is an important professional competency. This study examined whether integrating relationally focused critical-incident reflections into graduate speech-language pathology student internships improved conflict-handling skills. The study also analyzed the breadth and depth of reflections and identified student variables associated with improved conflict handling.

Method:
Participants were a convenience sample of 49 graduate speech-language pathology students. A quasi-experimental design was used to compare participant conflict-handling skills at baseline, after a 7-week control period, and after 7 weeks of biweekly reflections. Students were provided with an orientation and writing prompt to guide their reflections. Relationships were examined between participant conflict-handling abilities, reflective capacity, emotional intelligence, number of reflections completed, and years of speech-language pathology–related experience.

Results:
Significant changes did not occur in conflict-handling skills after completing 7 weeks of relationally focused critical-incident reflections. Students demonstrated measurable ability to reflect on their experiences but appeared unable to achieve deep reflection. Significant correlations were revealed between emotional intelligence, number of reflections completed, and changes in conflict handling. Students with 2–4 years of prior speech-language pathology–related experience appeared to increase their conflict-handling skills during the clinical internship.

Conclusions:
Students were unable to critically reflect with guided questions and a training session alone. Reflection did not result in changes to conflict-handling skills, although individual student variables did impacted conflict handing. Implications for clinical education are discussed.
Integration of wind farm, energy storage and demand response for optimum management of generation and carbon emission
Authors: Shafiei Kasra , Tarafdar Hagh Mehrdad , Seifi Ali 
Published: January 2024

AbstractThe optimal operation of power systems is one of the most critical issues for operators. Optimizing the operation of power systems while accommodating the increasing penetration of RES, owing to the intermittent and variable nature of these resources, stands as one of the most critical challenges for power systems. Numerous primary challenges, including fluctuations in load and nonlinear constraints, further complicate the issue, given its substantial dimensions. Therefore, this paper introduces an approach for improving the management of optimal generation and the associated carbon emissions costs of traditional power plants, which is achieved through integrating wind farms and incorporating battery energy storage. This enhancement is achieved by integrating wind farms and utilizing battery storage systems while considering the costs associated with traditional units using fossil fuels and the expenses related to carbon emissions. The simulation incorporates seven load customer types and five traditional generation sources integrated with wind farms and battery storage devices. The simulation results demonstrate that the new problem formulation has significantly improved the ability and performance of optimizing the scheduling of power plant generations.
Non‐ureolytic microbially induced carbonate precipitation: Investigating a cleaner biogeotechnical engineering pathway for soil mechanical improvement
Authors: Hemayati Mohammad , Nematollahi Abdolreza , Nikooee Ehsan , Habibagahi Ghassem , Niazi Ali 
Published: January 2024

AbstractAs the world's population grows, there is an increasing need for soil improvement techniques to accommodate construction demands. Current methods, most often, suffer from a high CO2 footprint, leading researchers to resort to biological methods of soil improvement through microbially induced carbonate precipitation (MICP). Commonly used ureolytic microbial carbonate precipitation produces ammonium ions, which can be environmentally concerning. The present study, therefore, addresses the use of non‐ureolytic MICP for soil improvement. The process of non‐ureolytic MICP relies on the use of heterotrophic bacteria to catalyze the oxidation reaction of organic compounds, eventually calcium carbonate precipitation. In this study, heterotrophic bacteria, such as Bacillus subtilis and Bacillus amyloliquefaciens, have been investigated as a solution for soil improvement via an ammonium‐free MICP. Calcium formate and calcium acetate are used as both calcium and carbon sources. This study, furthermore, examines the impact of MICP treatment on sandy soil and the effect of compaction level on treated samples. The findings indicate that the non‐ureolytic MICP method is an effective approach for stabilizing sand. The Calcium Formate‐B.Subtilis composition is shown to be the most effective compound for improving the unconfined compressive strength of sandy soils, while the Calcium Acetate‐B.Amyloliquefaciens composition is the least effective.
Reconstructive Techniques in Pediatric Congenital Microtia: A Systematic Review and Meta-analysis
Authors: Kim Hugh Andrew Jinwook , Namavarian Amirpouyan , Khan Urooj , Levy Ben B. , Ziai Hedyeh , Talei Ben , Gantous Andres 
Published: January 2024

AbstractAutografts and allografts are commonly used in microtia reconstruction. We aimed to systematically review and compare these reconstructive materials in pediatric congenital microtia reconstruction. A systematic review of the literature was performed. MEDLINE, Embase, PubMed, Web of Science, and CINAHL databases were searched for original studies on congenital microtia reconstruction in pediatric patients since database inception to 2021. Microtia grade was stratified as high or low. Meta-analysis of pooled proportions and continuous variables was performed using inverse variance weighting with a random effects model to compare between the autograft and allograft groups. Sixty-eight studies with a total of 5,546 patients used autografts (n = 5,382) or alloplastic implants (n = 164). Four other studies used prosthesis, cadaveric homografts, or tissue engineering. The allograft group was on average younger than the autograft group (8.4 vs. 11.1 years). There were no syndromic patients in the allograft group, compared to 43% in the autograft group. Patients treated with allografts had higher microtia grade than those treated with autograft (98 vs. 72%). Autografts were more commonly utilized by plastic surgeons and allografts by otolaryngologists (95 vs. 38%). No autografts and 41% of allografts were done concurrently with atresiaplasty or bone conduction implant. Satisfaction rates were similarly high (>90%) with similar complication rates (<10%). Microtia reconstruction using autografts and allografts had similar satisfaction and complication rates. Allografts were preferred for younger patients and concurrent hearing restoration. Further large-scale studies are required to evaluate the long-term efficacy of these reconstructive techniques.
Iodine-Promoted Disproportionate Coupling Reaction of Arylsulfonyl Hydrazides: A Simple and Green Access to Thiosulfonates
Authors: Chen Qi , Chen Zhao-Hua , Yu Shi-Wei , Yang Kai , Wang Zhao-Yang , Liang Yong-Tong , Zeng Yong 
Published: January 2024

AbstractAn environmentally friendly iodine-promoted disproportionate coupling reaction of arylsulfonyl hydrazides is reported. This strategy can synthesize thiosulfonates with medium to excellent yields, and features a green system, wide applicability of substrates, and easy availability of raw materials. The preliminary mechanistic study reveals that iodine plays an important role in the radical reaction process.
Microbiological Diagnosis of Pulmonary Aspergillus Infections
Authors: Aerts Robina , Feys Simon , Mercier Toine , Lagrou Katrien 
Published: January 2024

AbstractAs microbiological tests play an important role in our diagnostic algorithms and clinical approach towards patients at-risk for pulmonary aspergillosis, a good knowledge of the diagnostic possibilities and especially their limitations is extremely important. In this review, we aim to reflect critically on the available microbiological diagnostic modalities for diagnosis of pulmonary aspergillosis and formulate some future prospects. Timely start of adequate antifungal treatment leads to a better patient outcome, but overuse of antifungals should be avoided. Current diagnostic possibilities are expanding, and are mainly driven by enzyme immunoassays and lateral flow device tests for the detection of Aspergillus antigens. Most of these tests are directed towards similar antigens, but new antibodies towards different targets are under development. For chronic forms of pulmonary aspergillosis, anti-Aspergillus IgG antibodies and precipitins remain the cornerstone. More studies on the possibilities and limitations of molecular testing including targeting resistance markers are ongoing. Also, metagenomic next-generation sequencing is expanding our future possibilities. It remains important to combine different test results and interpret them in the appropriate clinical context to improve performance. Test performances may differ according to the patient population and test results may be influenced by timing, the tested matrix, and prophylactic and empiric antifungal therapy. Despite the increasing armamentarium, a simple blood or urine test for the diagnosis of aspergillosis in all patient populations at-risk is still lacking. Research on diagnostic tools is broadening from a pathogen focus on biomarkers related to the patient and its immune system.
Monitoring rock movement and—controlling ore loss and dilution associated with blasting at Geita and North Mara Gold mines, Tanzania
Authors: Magohe Stephen Peter , Shoo Nice , Mapogha Emilia , Kinabo Crispin , Chambulikazi Conrad 
Published: January 2024

ABSTRACT We present findings from a blast movement monitoring research conducted as a part of mine to mill campaign at the Geita Gold Mine—and additional data from blast monitoring practices at North Mara Gold Mine. These include measurement of the blast-induced rock movement and perimeter translation after blast derived from a blast shot at Nyankanga pit (Geita Gold Mine) and three other shots at the Nyabirama pit (North Mara Gold Mine). Using Blast Movement Technology, 34 movement-monitoring balls installed in 13 blast-monitoring boreholes made possible estimation of the average vertical and horizontal ore movements in the studied blast shots. Recorded ore movement estimates average horizontal and vertical movements of 3.69 and 1.56 m, respectively, at the Nyabirama pit and average horizontal and vertical movements of 4.5 and 2.48 m, respectively, at the Nyankanga pit. Based on the estimated material movements, zones of ore losses and dilution are established and new dig lines are proposed from successful ore block translation in all blast shots.
Research on U-Net seismic signal denoising combined with residual dense blocks
Authors: Cai Jianxian , Wang Li , Zheng Jiangshan , Duan Zhijun , Yan Fenfen , Shi Yan 
Published: January 2024

Abstract
Aiming to address the limited noise reduction capabilities of conventional methods for reducing noise in seismic signals, the paper proposes a noise reduction model based on the RDBU-Net network. This model utilizes a residual dense block (RDB) instead of conventional convolutional layers in the U-Net network to enhance the feature extraction capacity for same-band noise, thereby elevating the signal-to-noise ratio (SNR) of seismic signals. The RDBU-Net model is trained, validated, and tested using the global seismic dataset from Stanford University. In comparison with the wavelet threshold method, the denoising RDB model, and the U-Net model, the RDBU-Net model demonstrates an improvement in SNRs by 7.82 dB, 6.13 dB, and 2.9 dB, respectively. Additionally, the root mean square errors are reduced by 0.4812, 0.3736, and 0.1938, and the correlation coefficients are enhanced by 0.3818, 0.2714, and 0.1205. The RDBU-Net model proposed in this study effectively enhances the SNR of seismic signals and offers fresh insights into eliminating noise within the same frequency band of seismic signals.
Effects of cooling rate on space charge characteristics of polypropylene
Authors: Men Rujia , Jiang Wanting , Liu Xuanhe , Lei Zhipeng , Song Jiancheng 
Published: January 2024

Abstract
Polypropylene (PP) is considered as a candidate for high-voltage direct current (HVDC) cable insulation owing to its excellent thermal stability, insulation properties, and environmental friendliness. It is a semi-crystalline polymer, and the difference in cooling rate during processing affects its crystallisation morphology and characteristics, which may change its insulation properties. In this study, PP film samples with varying cooling rates of 10, 20, 40, 70, 120, and 170 °C min−1 were prepared. The crystal morphology was observed, crystal characteristics were analysed, and the space charge distribution and direct current (DC) breakdown strength were measured. It can be concluded that with an increase in the cooling rate, the spherulite size of PP decreased, the spherulite number increased, and the characteristic breakdown strength increased. Notably, the variation trends of the space charge distortion factor and carrier mobility of PP are opposite to that of crystallinity. When the cooling rate was 40 °C min−1, the number of space charges in PP was small, the distortion of the electric field was not obvious, the apparent mobility of carriers was high, the charge decay was rapid in the depolarisation process, and the average breakdown strength was acceptable. Therefore, during the processing of the HVDC cable, the space charge characteristics of PP can be optimized by adjusting the cooling rate.
Effect of nanoclusters formed by metal impurity on magnesium vapor condensation in silicothermic process: a molecular dynamics study
Authors: Zhong Jingjing , Li Rongbin , Liu Fengqin , Zhang Shaojun 
Published: January 2024

Abstract
In the silicothermic process, some metal oxide impurities that coexist with dolomite are inevitably reduced to metal vapors, which condense to metal impurities in the magnesium crystallizer. In this paper, the molecular dynamics simulation method was adopted to investigate the effect of impurity clusters on the crystallization transition of undercooled magnesium vapor. The results showed that saturated vapor atoms tend to nucleate on the pre-existing impurity cluster, promoting the crystallization rate of magnesium vapor. The promoting effects of impurity clusters on the crystallization of magnesium vapor depend on their sizes and species. The cluster with a larger size demonstrated a more substantial promoting impact. Moreover, in the three impurities studied in this paper, magnesium vapor condenses on the Fe cluster at the fastest rate due to the bcc structure of the Fe cluster and the strong interaction between Fe and Mg atoms. For Ni and Cu clusters with the same fcc structure, the promoting effect of the Ni cluster on the crystallization of Mg vapor is more evident because the interaction between Ni-Mg atoms is stronger than between Cu-Mg atoms.
Recurrence Rate spectrograms for the classification of nonlinear and noisy signals
Authors: Hertrampf Thore , Oberst Sebastian 
Published: January 2024

Abstract
Time series analysis of real-world measurements is fundamental in natural sciences and engineering, and machine learning has been recently of great assistance especially for classification of signals and their understanding. Yet, the underlying system’s nonlinear response behaviour is often neglected. Recurrence Plot (RP) based Fourier-spectra constructed through τ-Recurrence Rate (RR

τ
) have shown the potential to reveal nonlinear traits otherwise hidden from conventional data processing. We report a so far disregarded eligibility for signal classification of nonlinear time series by training RESnet-50 on spectrogram images, which allows recurrence-spectra to outcompete conventional Fourier analysis. To exemplify its functioning, we employ a simple nonlinear physical flow of a continuous stirred tank reactor, able to exhibit exothermic, first order, irreversible, cubic autocatalytic chemical reactions, and a plethora of fast-slow dynamics. For dynamics with noise being ten times stronger than the signal, the classification accuracy was up to ≈ 75% compared to ≈ 17% for the periodogram. We show that an increase in entropy only detected by the RR

τ
allows differentiation. This shows that RP power spectra, combined with off-the-shelf machine learning techniques, have the potential to significantly improve the detection of nonlinear and noise contaminated signals.
Superhydrophobicity on AISI 304 stainless steel through surface sensitization process and etching
Authors: Karder H R Ghadami , Khodaei M 
Published: January 2024

Abstract
In this research, the surface sensitization process of austenitic stainless steel (304) was used to create the superhydrophobicity through a facile etching method with a significantly lower etching time. In order to utilize the surface sensitization process for the purpose of forming island-like chromium carbide on surface, oxyacetylene flame heat-treatment was performed at 650 °C for one min. After HF etching at ambient temperature, treatment in nitric acid, and the reduction of surface energy by stearic acid modification, a water contact angle (WCA) of 167°, water sliding angle (WSA) of 3°, and water contact angle hysteresis (WCAH) of 7° have been achieved. The sensitization process makes the sample susceptible to intergranular corrosion and uniform micro- and nano-sized pores entirely cover the surface after boiling in nitric acid. This phenomenon is the main reason for creating the hierarchical microstructure on the surface of stainless steel in a shorter time.
A novel fast image encryption algorithm based on coefficient independent coupled exponential chaotic map
Authors: Zhang Bowen , Liu Lingfeng 
Published: January 2024

Abstract
The performance of most chaotic systems is dependent on the selection of parameters, and an incorrect selection can lead to a significant reduction in the complexity and safety of chaotic systems or to chaotic degeneracy. In this paper, we investigate an Exponential Cyclic Coupling Chaotic Model (ECCCM) that maintains excellent and stable chaotic dynamics across a wide range of parameters. We use the Exponential Coupled Logistic Model (ECLM) as an example to design a new fast image encryption algorithm that treats the image as a three-dimensional matrix and simultaneously changes the positions and values of its pixels. Our proposed encryption algorithm has been verified through various experiments to be highly secure and competitive with other state-of-the-art algorithms.
Numerical modeling of defects induced dark current in halide perovskite X-ray detectors
Authors: Yang Bin , Xie Xiangfan , Zeng Shengqiao , Xue Bin , Xiao Shuang , Qian Lihua 
Published: January 2024

Abstract
Metal halide perovskites have been widely used in x-ray detection due to their outstanding optoelectronic properties. However, the dark current of perovskite x-ray detectors is not appreciably low for integration on thin-film transistors pixel circuits and thus limits their applications in X-ray imaging. Based on numerical models, we investigate the correlation between the dark current and defects of perovskite x-ray detectors. The deep-level defects are the major factor to induce dark current, which has a proportional relation to the defect density. Compared to deep-level defects, the dark current induced by shallow-level defects depends on both of defect energy level and defect density. At last, simulation results present a guidance to engineer defects with suitable values of density and energy level, which yields desirably low dark current. This work provides implications and theoretical guidance for the optimization of defects in halide perovskites, which is believed to assist the further development of x-ray detectors with a low dark current density.