bluuebunny/crossref_metadata_2025_split huggingface dataset:
First‐line antibiotic treatment in patients with localized extragastric mucosa‐associated lymphoid tissue lymphoma
Authors: Yao Ming , Liao Shu‐Lang , Lin Chung‐Wu , Wang Cheng‐Ping , Ma Wei‐Li , Wei Yi‐Hsuan , Liou Jyh‐Ming , Wang I‐Jong , Cheng Ann‐Lii , Kuo Sung‐Hsin 
Published: November 2022

AbstractBetween January 2010 and December 2015, we enrolled 28 patients with stage IEI/IIE1 extragastric mucosa‐associated lymphoid tissue (MALT) lymphoma who received first‐line antibiotic treatment, after informing them about the pros and cons of alternative therapies. In addition, during the same period, 64 patients with stage IE/IIE1 disease who received conventional treatment were selected as the control group. The most common primary sites were the ocular adnexal area (17 cases), followed by the salivary glands (four cases), pulmonary (three cases), and thyroid, trachea, larynx, and colon region (one case each). First‐line antibiotic treatment resulted in an overall response rate of 57.1%: 12 patients achieved complete remission (CR), while four achieved partial remission (antibiotic‐responsive tumors). Monoclonal gammopathy was significantly prevalent in antibiotic‐unresponsive tumors than in antibiotic‐responsive tumors (50.0% [6/12] vs. 12.5% [2/16], p = 0.044). After a median follow‐up of 7 years, all patients with CR remained lymphoma‐free, with 7‐year event‐free survival (EFS) and overall survival (OS) rates of 62.7% and 96.4%, respectively. The 7‐year EFS and OS rates of patients who received conventional treatments were 73.1% and 91.1%, respectively. Compared with that noted in patients who received conventional treatment, antibiotic treatment was effective in some patients with localized extragastric MALT lymphoma.
Biosynthesis of silver nanoparticles using actinomycetes, phytotoxicity on rice seeds, and potential application in the biocontrol of phytopathogens
Authors: Zwar Ingrid P. , Trotta Caterina do Valle , Ziotti Ana B. S. , Lima Neto Milton , Araújo Welington L. , de Melo Itamar S. , Ottoni Cristiane A. , de Souza Ana O. 
Published: November 2022

AbstractTo find effective silver nanoparticles (AgNPs) for control of phytopathogens, in this study, two strains of actinomycetes isolated from the soil of the Brazilian biome Caatinga (Caat5–35) and from mangrove sediment (Canv1–58) were utilized. The strains were identified by using the 16S rRNA gene sequencing asStreptomycessp., related toStreptomyces mimosusspecies. The obtained AgNPs were coded as AgNPs35and AgNPs58and characterized by size and morphology using dynamic light scattering, zeta potential, transmission electron microscopy, and Fourier transformed infrared (FTIR). The antifungal activity of the AgNPs35and AgNPs58was evaluatedin vitroby the minimal inhibitory concentration (MIC) assay on the phytopathogens,Alternaria solani,Alternaria alternata, andColletotrichum gloeosporioides. The phytotoxic effect was evaluated by the germination rate and seedling growth of rice (Oryza sativa). AgNPs35and AgNPs58showed surface plasmon resonance and average sizes of 30 and 60 nm, respectively. Both AgNPs presented spherical shape and the FTIR analysis confirmed the presence of functional groups such as free amines and hydroxyls of biomolecules bounded to the external layer of the nanoparticles. Both AgNPs inhibited the growth of the three phytopathogens tested, andA. alternatewas the most sensible (MIC ≤ 4 µM). Moreover, the AgNPs35and AgNPs58did not induce phytotoxic effects on the germination and development of rice seedlings. In conclusion, these AgNPs are promising candidates to biocontrol of these phytopathogens without endangering rice plants.
Biocrusts: Overlooked hotspots of managed soils in mesic environments
Authors: Gall Corinna , Ohan Juliette , Glaser Karin , Karsten Ulf , Schloter Michael , Scholten Thomas , Schulz Stefanie , Seitz Steffen , Kurth Julia Katharina 
Published: November 2022

AbstractBiological soil crusts, or “biocrusts”, are biogeochemical hotspots that can significantly influence ecosystem processes in arid environments. Although they can cover large areas, particularly in managed sites with frequent anthropogenic disturbance, their importance in mesic environments is not well understood. As in arid regions, biocrusts in mesic environments can significantly influence nutrient cycling, soil stabilization, and water balance; however, their persistence may differ. We call for interdisciplinary physical, biological, microbiological, chemical, and applied soil science research with a special focus on biocrusts of managed soils from mesic environments, to better understand their impact on overall ecosystem health and resilience, particularly with regard to climate change.
Raman detection system for in situ oxidation and ablation analysis in hypersonic wind tunnel
Authors: He Kang , Li Quanshui , Lu Yanzhen , Wang Yuhang 
Published: November 2022

AbstractWe have developed a system for remote Raman spectra detection in hypersonic wind tunnel, which can be used in extreme environments such as ultra‐high temperature, high pressure, and complex airflow to measure in situ Raman spectra of ceramic matrix composites during oxidation, phase transformation or ablation. The designed system avoids stray light generated by windows and airflow through oblique incidence of excitation light. The time‐resolved method combined with pulsed laser and intensified charge‐coupled device (ICCD) was used to reduce the thermal emission background. An optical structure design based on fiber bundle is adopted to suppress the influence of aero‐optical effects and mechanical vibration on Raman spectrum acquisition. We demonstrated the feasibility of in situ Raman spectra detection in a Mach 5 combustion wind tunnel system. The design of anti‐interference prevents Raman spectra intensity from the influence of wind tunnel testing conditions.
A novel deep learning approach for tourism volume forecasting with tourist search data
Authors: Li Mingchen , Zhang Chengyuan , Sun Shaolong , Wang Shouyang 
Published: November 2022

AbstractTourism volume forecasting is the hot topic in tourism management, and deep learning techniques as the promising tool are becoming popular for capturing the characteristics of tourism volume data, which is reflected in two aspects: data dimension reduction (i.e., stacked autoencoders [SAE]) and model forecasting (i.e., bi‐directional gated recurrent unit neural network [Bi‐GRU]). With Hong Kong inbound arrivals as a case, this study has empirically verified that deep learning techniques can improve forecasting accuracy. Furthermore, the proposed approach (i.e., SAE‐Bi‐GRU) is significantly superior to benchmark models (i.e., PCA‐Bi‐GRU with Baidu index and Google trends).
Assessment of Dimensional Changes in Submandibular Glands in Head–Neck Radiotherapy Patients by Ultrasonography
Authors: Açıkgöz Gözde , Akgül Hayati Murat , Kızıltunç Özmen Hilal , Sezen Orhan 
Published: November 2022

ObjectivesThe present study investigated the dimensional changes in the submandibular glands following radiotherapy using ultrasonography.MethodsTwenty‐three patients planned to receive head–neck radiotherapy were included in this study. The anteroposterior, superoinferior, mediolateral length, and volumes of 46 submandibular glands were measured by ultrasonography at 3 different time periods (before radiotherapy and in the second and sixth months after the radiotherapy onset) and evaluated in terms of dimensional changes and the effect of the radiation dose on these changes. The data were statistically analyzed using repeated measures analysis of variance (ANOVA) and 2‐factor repeated measures ANOVA.ResultsBefore radiotherapy and in the second and sixth months after the radiotherapy onset, mean anteroposterior length of the submandibular glands was 32.39 ± 4.55, 30.38 ± 4.80, and 31.50 ± 3.68 mm, respectively; mean superoinferior length was 9.96 ± 1.54, 8.76 ± 1.26, and 9.08 ± 1.01 mm, respectively; mean mediolateral length was 24.66 ± 3.77, 22.03 ± 3.73, and 21.76 ± 4.01 mm, respectively; and mean volume was 4.21 ± 1.01, 3.08 ± 0.77, and 3.32 ± 0.63 cm3, respectively. Moreover, there were significant differences in the anteroposterior (P < .01), superoinferior (P < .001), and mediolateral lengths (P < .001), as well as the volumes (P < .001) of the submandibular glands measured at the 3 different time periods.ConclusionIn the second and sixth months after the radiotherapy onset, the sizes of the submandibular glands were markedly reduced, but it partially recovered to normal as more time elapsed after radiotherapy.
Effects of livestock overgrazing on the relationships between plant and microbial diversity across the temperate steppes in northern China
Authors: Zhao Xuan , Delgado‐Baquerizo Manuel , Song Yueqing , Cai Jinting , Chang Qing , Liu Jushan , Zhu Hui , Li Zhiqiang , Chen Ying , Song Xuxin , Zhu Yu , Wang Ling 
Published: November 2022

AbstractLivestock overgrazing has led to worldwide grassland degradation, posing a significant threat to plant and soil microbial diversity. However, little is known about whether livestock overgrazing influences plant and soil microbial diversity linkages. We examined relationships between plant and soil microbial beta diversity in eight pairs of ungrazed and overgrazed sites across temperate steppes in northern China. Our results revealed a positive correlation between plant and microbial beta diversity across ungrazed grasslands, and overgrazing did not change this relationship. However, different mechanisms underlay the correlations between plant and microbial beta diversity in ungrazed and overgrazed grasslands. In ungrazed grasslands, plant and microbial diversity associations were maintained mainly due to their similar responses to the shared environmental factors. While in overgrazed grasslands, the maintenance of plant and microbial diversity associations was primarily due to their functional associations. Furthermore, the positive links between plant species and microbial taxa increased in overgrazed grasslands, indicating that more soil microbial taxa form close associations with plant species in overgrazed grasslands. Our work provides new insights regarding the mechanisms of plant and microbial communities that associate under different ecological contexts, ultimately suggesting that the functional associations of plant and microbial communities are tighter as grazing intensifies in grasslands.
Photothermal Hydrogels for Promoting Infected Wound Healing
Authors: Xie Ge , Wang Xiao , Mo Min , Zhang Lianbin , Zhu Jintao 
Published: November 2022

AbstractPhotothermal therapies (PTT), with spatiotemporally controllable antibacterial capabilities without inducing resistance, have shown encouraging prospects in the field of infected wound treatments. As an important platform for PTT, photothermal hydrogels exhibit attractive advantages in the field of infected wound treatment due to their excellent biochemical properties and have been intensively explored in recent years. This review summarizes the progress of the photothermal hydrogels for promoting infected wound healing. Three major elements of photothermal hydrogels, i.e., photothermal materials, hydrogel matrix, and construction methods, are introduced. Furthermore, different strategies of photothermal hydrogels in the treatment of infected wounds are summarized. Finally, the challenges and prospects in the clinical treatment of photothermal hydrogels are discussed.
ZnO/Cassava Starch‐Based Hydrogel Composite for Effective Treatment of Dye‐Contaminated Wastewater
Authors: Kongseng Piyawan , Amornpitoksuk Pongsaton , Chantarak Sirinya 
Published: November 2022

AbstractIndustrial expansion has increased the discharge of contaminated wastewater. Wastewater can be treated by adsorption with petroleum‐based hydrogels but the materials are not biodegradable and therefore cause secondary toxic waste. In this work, hydrogel composites are prepared based on non‐biodegradable polyacrylamide and biodegradable materials of cassava starch (CS) and poly(vinyl alcohol). The effect of CS content on the porous structure is studied. The highest water absorption capacity of 74 g g−1 is obtained from a hydrogel 30 wt% of CS. Within 4 h, the hydrogel effectively adsorbs the cationic dyes methylene blue (MB) and crystal violet, and the anionic dyes congo red and reactive orange. The maximum adsorption capacity toward MB is 993 mg g−1. Experimental data indicate a monolayer adsorption via chemisorption. Silica‐coated ZnO photocatalyst particles are synthesized via a sol–gel method and coated on the outer surface of the hydrogel. Under sunlight, the hydrogel composite degrades almost 90% of adsorbed dye. The hydrogel composite is capable of effective photodegradation for at least three cycles under artificial UV irradiation and four cycles under sunlight, but adsorption capacity remains higher than 80% at the eighth cycle. The hydrogel composite also shows antibacterial activities, indicating an additional beneficial property for industrial wastewater treatment.
The emergence of the tetrathionate reductase operon in the Escherichia coli/Shigella pan‐genome
Authors: Adsit Floyd G. , Randall Thomas A. , Locklear Jacqueline , Kurtz David M. 
Published: November 2022

AbstractEscherichia coli pathogenic variants (pathovars) are generally characterized by defined virulence traits and are susceptible to the evolution of hybridized identities due to the considerable plasticity of the E. coli genome. We have isolated a strain from a purified diet intended for research animals that further demonstrates the ability of E. coli to acquire novel genetic elements leading potentially to emergent new pathovars. Utilizing next generation sequencing to obtain a whole genome profile, we report an atypical strain of E. coli, EcoFA807‐17, possessing a tetrathionate reductase (ttr) operon, which enables the utilization of tetrathionate as an electron acceptor, thus facilitating respiration in anaerobic environments such as the mammalian gut. The ttr operon is a potent virulence factor for several enteric pathogens, most prominently Salmonella enterica. However, the presence of chromosomally integrated tetrathionate reductase genes does not appear to have been previously reported in wild‐type E. coli or Shigella. Accordingly, it is possible that the appearance of this virulence factor may signal the evolution of new mechanisms of pathogenicity in E. coli and Shigella and may potentially alter the effectiveness of existing assays using tetrathionate reductase as a unique marker for the detection of Salmonella enterica.
Influence of different postballoon expansion procedures: A finite element analysis
Authors: Cao Hongshuai , Wu Heng , Li Jiasong , Li Meng , Lin Changyan 
Published: November 2022

AbstractBackgroundPostballoon expansion is considered as an appropriate procedure for adequate stent expansion for coronary bifurcation lesions. Two postballoon expansion procedures are currently recommended: proximal optimization technique (POT)/side/POT and POT/kiss/POT. However, the effects of the two postballoon expansion treatments are different. There is a lack of biomechanical study to quantify the difference.PurposeIt is recognized that biomechanical factors influence the occurrence of Major Cardiovascular Adverse Events (MACE), which includes recurrent angina pectoris, acute myocardial infarction and coronary heart disease death. The current paper evaluated the two postexpansion strategies and quantified biomechanical parameters to provide a basis for clinical decisions.MethodsBased on the CT angiography (CTA) data of a patient diagnosed with coronary bifurcation lesions, a personalized coronary bifurcation lesion model was constructed, and the surgical procedure after two expansions was simulated. The POT/side/POT and POT/kiss/POT expansion procedures were analyzed from the perspective of biomechanics through finite element analysis. The biomechanics factors, including the percentage of stent malapposition and stent occlusion at the side branch (SB) opening, the stent ellipse index of proximal main vessel (PMV) segment, the minimum lumen area of the stent vessel segment and the stress distribution of the vessel wall, were used to quantify clinician concerns about factors affecting patient outcomes. The factors include stent adhesion, SB open stent occlusion, poor stent deformation, patency effect of vessel stenosis, and vessel wall damage.ResultsBoth postexpansion procedures were successfully simulated. The malapposition rate during POT/side/POT was larger (1.2% vs. 0.42%) and stent occlusion at the SB opening from the cross‐section perpendicular to the SB opening after the POT/side/POT procedure was 0.20%, compared with 0.00% after POT/kiss/POT. POT/kiss/POT produced a larger PMV segment stent ellipse index. Minimum lumen area after POT/side/POT was 5.6 mm2 and after POT/kiss/POT 5.9 mm2. POT/kiss/POT produces an effect of greater vascular stress than POT/side/POT.ConclusionNumerical simulations provide a quantitative analysis to inform clinicians of the differences between preoperative planning and surgical procedures. Biomechanical analysis of the differences between the two postexpansion strategies found that the POT/kiss/POT procedure resulted in better stent fit, less occlusion of the SB open stent and better vascular patency but also resulted in poor stent deformation and caused greater vessel wall stress. The current study informs rationales for clinical understanding of postexpansion strategies.
Patient‐specific quality assurance prediction models based on machine learning for novel dual‐layered MLC linac
Authors: Zhu Heling , Zhu Qizhen , Wang Zhiqun , Yang Bo , Zhang Wenjun , Qiu Jie 
Published: November 2022

AbstractBackgroundPatient‐specific quality assurance (PSQA) is an indispensable and essential procedure in radiotherapy workflow, and several studies have been done to develop prediction models based on the conventional C‐arm linac of single‐layered multileaf collimator (MLC) with machine learning (ML) and deep learning techniques to predict PSQA results and improve efficiency. Recently, a newly designed O‐ring gantry linac “Halcyon” equipped with unique jawless stacked‐and‐staggered dual‐layered MLC was released. However, few studies have focused on developing PSQA prediction models for this novel dual‐layered MLC system.PurposeTo evaluate the performance of ML to predict PSQA results of fixed field intensity‐modulated radiation therapy (FF‐IMRT) plans for linac equipped with dual‐layered MLC.Methods and materialsA total of 213 FF‐IMRT treatment plans, including 1383 beams from various treatment sites, were selected and delivered with portal dosimetry verification on Halcyon linac. Gamma analysis was performed using 1%/1, 2%/2, and 3%/2 mm criteria with a 10% threshold. The training set (TS) of ML models consisted of 1106 beams, and an independent evaluation set (ES) consisted of 277 beams. For each beam, 33 complexity metrics were extracted as input data for training models. Three ML algorithms (gradient boosting decision tree/GBDT, random forest/RF, and Poisson Lasso/PL) were utilized to build the models and predict gamma passing rates (GPRs). To improve the prediction accuracy in the rare region, a method of reweighting for TS has been performed and compared to the unweighted results. The importance of complexity metrics was studied by permuted interesting features.ResultsThe GBDT model had the best performance in this study. In ES, the minimal mean prediction error for unweighted results was 1.93%, 1.16%, 0.78% under 1%/1, 2%/2, and 3%/2 mm criteria, respectively, from GBDT model. Comparing to the unweighted results, the models after reweighting gained up to 30% improvement in the rare region, whereas the overall prediction error was slightly worse depending on the kind of models. For feature importance, 2 tree‐based models (GBDT and RF) had in common the top 10 most important metrics as well as the same metric with the largest impact.ConclusionFor linac equipped with novel dual‐layered MLC, the ML model based on GBDT algorithm shows a certain degree of accuracy for GPRs prediction. The specific ML model for dual‐layered MLC configuration could be a useful tool for physicists detecting PSQA measurement failures.
Robust dual‐module velocity‐selective arterial spin labeling (dm‐VSASL) with velocity‐selective saturation and inversion
Authors: Guo Jia 
Published: November 2022

PurposeCompared to conventional arterial spin labeling (ASL) methods, velocity‐selective ASL (VSASL) is more sensitive to artifacts from eddy currents, diffusion attenuation, and motion. Background suppression is typically suboptimal in VSASL, especially of CSF. As a result, the temporal SNR and quantification accuracy of VSASL are compromised, hindering its application despite its advantage of being delay‐insensitive.MethodsA novel dual‐module VSASL (dm‐VSASL) strategy is developed to improve the SNR efficiency and the temporal SNR with a more balanced gradient configuration in the label/control image acquisition. This strategy applies for both VS saturation (VSS) and VS inversion (VSI) labeling. The dm‐VSASL schemes were compared with single‐module labeling and a previously developed multi‐module schemes for the SNR performance, background suppression efficacy, and sensitivity to artifacts in simulation and in vivo experiments, using pulsed ASL as the reference.ResultsDm‐VSASL enabled more robust labeling and efficient backgroud suppre across brain tissues, especially of CSF, resulting in significantly reduced artifacts and improved temporal SNR. Compared to single‐module labeling, dm‐VSASL significantly improved the temporal SNR in gray (by 90.8% and 94.9% for dm‐VSS and dm‐VSI, respectively; P < 0.001) and white (by 41.5% and 55.1% for dm‐VSS and dm‐VSI, respectively; P < 0.002) matter. Dm‐VSI also improved the SNR of VSI by 5.4% (P = 0.018).ConclusionDm‐VSASL can significantly improve the robustness of VS labeling, reduce artifacts, and allow efficient background suppression. When implemented with VSI, it provides the highest SNR efficiency among VSASL methods. Dm‐VSASL is a powerful ASL method for robust, accurate, and delay‐insensitive perfusion mapping.
The simulation design in health and nursing: A scoping review
Authors: Oliveira Silva George , Fonseca Luciana Mara Monti , Siqueira Karina Machado , de Góes Fernanda dos Santos Nogueira , Ribeiro Laiane Medeiros , Aredes Natália Del’ Angelo 
Published: November 2022

AbstractAimsThe aims of this study were to map the components of the simulation design in health and nursing and to propose a classification based on their definitions to support the planning of simulation‐based experiences.DesignScoping review.MethodSearches were performed in the databases LILACS, Embase, MEDLINE/PubMed, SCOPUS, Web of Science, Google Scholar and ProQuest Thesis and Dissertation were performed, without time limitation, to identify studies about simulation design.ResultsThis study mapped 19 components of the simulation design found in 26 studies included, which can contribute to the development of simulation‐based experiences, classified into structural, methodological and theoretical–pedagogical components. The simulation design can be described according to its fundamental components: structural—define the basic formulation of a simulation in terms of infrastructure and conceptual framework; methodological—define the participants, roles and the instruction format; and theoretical–pedagogical—define the educational references used to support the simulation strategy.