bluuebunny/crossref_metadata_2025_split huggingface dataset:
Importance of biofilm formation for promoting plant growth under salt stress in Pseudomonas putida KT2440
Authors: Costa‐Gutierrez Stefanie Bernardette , Raimondo Enzo Emanuel , Vincent Paula Andrea , de Cristóbal Ricardo Ezequiel 
Published: August 2023

AbstractAn underutilized experimental design was employed to isolate adapted mutants of the model bacterium Pseudomonas putida KT2440. The design involved subjecting a random pool of mini‐Tn5 mutants of P. putida KT2440 to multiple rounds of selection in the rhizosphere of soybean plants irrigated with a NaCl solution. The isolated adapted mutants, referred to as MutAd, exhibited a mutation in the gene responsible for encoding the membrane‐binding protein LapA, which plays a role in the initial stages of biofilm formation on abiotic surfaces. Two MutAd bacteria, MutAd160 and MutAd185, along with a lapA deletion mutant, were selected for further investigation to examine the impact of this gene on salt tolerance, rhizosphere fitness, production of extracellular polymeric substances (EPS), and promotion of plant growth. Despite the mutants’ inability to form biofilms, they were able to attach to soybean seeds and roots. The MutAd bacteria demonstrated an elevated production of EPS when cultivated under saline conditions, which likely compensated for the absence of biofilm formation. MutAd185 bacteria exhibited enhanced root attachment and promoted the growth of soybean plants in slightly saline soils. The proposed experimental design holds promise for expediting bacterial adaptation to the rhizosphere of plants under specific environmental conditions, identifying genetic mutations that enhance bacterial fitness in those conditions, and thereby increasing their capacity to promote plant growth.
Innovation in Virtual Teams: The Critical Role of Anonymity across Divergent and Convergent Thinking Processes
Authors: Baruah Jonali , Green Keesha 
Published: August 2023

ABSTRACTThis experimental research investigates the creativity of anonymous video‐based groups through a series of collaborative divergent and convergent thinking stages of innovation. A sample of 113 undergraduate students participated in small groups of three or four to complete a creative problem‐solving task in either anonymous or identified conditions. The findings revealed that although anonymity did not positively impact the divergent thinking task of brainstorming, it significantly enhanced creativity in the convergent thinking process of collaborative idea refinement. Furthermore, the ideas in the refinement stage were higher in originality, elaboration, overall quality, and good quality compared with the generation and selection task. The participants' attentional focus was critical in creating high‐quality ideas by mediating the path from collaborative ideation to refinement. The current study contributes to the creativity literature by highlighting the importance of anonymous collaborative idea refinement as the teams proceed through multiple stages of convergent and divergent thinking processes.
Integrated analysis of single cell and bulk RNA sequencing identifies CTHRC1+INHBA+CAF as drivers of colorectal cancer progression
Authors: Hu Shangshang , Qin Jian , Gao Rui , Xiao QianNi , Liu Xiangxiang , Pan Yuqin , Wang Shukui 
Published: August 2023

AbstractCancer‐associated fibroblasts (CAFs) are a key component of the tumor microenvironment and a critical factor in the progression of colorectal cancer (CRC). The aim of this study was to screen for CAFs specific genes that could serve as promising therapeutic targets for CRC patients. Our findings showed a significant increase in the proportion of fibroblasts in CRC tissues, and a high proportion of fibroblasts was associated with immune escape and poor prognosis in CRC. Collagen triple helix repeat containing 1 (CTHRC1) and inhibin subunit beta A (INHBA) were identified as key genes in the progression of CRC, primarily expressed in CAFs and significantly upregulated in CRC tissues. We defined CTHRC1 and INHBA as cancer‐associated fibroblast‐related genes (CAFRGs), which were associated with poor prognosis in CRC and macrophage polarization. CAFRGs promoted immune escape and metastasis in CRC and were good predictors of immune therapy response. Drug sensitivity analysis showed that the high expression group of CAFRGs was sensitive to 15 chemotherapy drugs, while the low expression group was sensitive to only 3. Clustering of fibroblasts in the tumor revealed that CTHRC1+INHBA+CAF was a poor prognostic factor in CRC and was associated with extracellular matrix remodeling and immune regulation. In conclusion, our study provides new theoretical basis for effective treatment strategies and therapeutic targets for CRC.
DIEP flap perfusion assessment using microdialysis versus Doppler ultrasonography: A comparative study
Authors: Sorotos Michail , Firmani Guido , Tornambene Roberta , Marrella Domenico , Paolini Guido , Santanelli di Pompeo Fabio 
Published: August 2023

AbstractBackgroundThe increasing number of buried free‐tissue transfer procedures and the need for an objective method to evaluate vascular complications of free flaps has led to the development of new technologies. Microdialysis has been used to monitor free flaps using interstitial biological markers. Previous uses mainly focused on muscular flaps. Our aim is to compare external Doppler ultrasonography (EDU) evaluation versus microdialysis in the early follow‐up of adipocutaneous flaps, and propose an efficient postoperative monitoring protocol.MethodsWe retrospectively assessed 68 consecutive DIEP flaps (50 patients) performed between January 2019 and March 2021. All flaps received standardized post‐operative monitoring using clinical signs, EDU and microdialysis. Glucose and lactate concentrations were assessed using glucose <1 mmol/L and lactate >6 mmol/L as ischemic trend thresholds. We calculated Glucose/Lactate ratio as a new parameter for the assessment of flap viability.ResultsAmong all the 68 flaps, two flaps returned to the operative theater when a combination of unsatisfactory microdialysis values and clinical/EDU signs identified vascular impairment; only one developed total flap necrosis. Reoperation rate was 2.94% with an overall flap success rate of 98.53%. External Doppler ultrasonography had 100% sensitivity and 82% specificity, while microdialysis had 100% sensitivity and 100% specificity.ConclusionsMicrodialysis values proved flap viability sooner than external Doppler ultrasonography, making it an excellent tool for post‐operative monitoring. With the appropriate thresholds for glucose and lactate concentrations, and glucose/lactate ratio used as a new parameter, it can help potentially avoiding unnecessary re‐explorations, and reducing flap ischemia times.
FRP–soil interfacial mechanical properties with molecular dynamics simulations: Insights into friction and creep behavior
Authors: Xu Wang‐Qi , Yin Zhen‐Yu , Zheng Yuan‐Yuan 
Published: August 2023

AbstractThe fiber‐reinforced polymer (FRP) has attracted much attention in civil engineering due to its durability and cost‐effectiveness. The soil–FRP structure interface plays an essential role when the FRP is adopted in geotechnical engineering, but its fundamental interfacial behavior remains unclear. In the present study, the atomistic models of silica representing sand, water film representing the lubricated condition, and cross‐linked epoxy representing FRP are constructed to investigate the FRP–sand interfacial properties at the nano‐scale through molecular dynamics (MD) simulations. The epoxy model geometry and forcefield are first validated by comparing the thermodynamic and mechanical parameters with experimental and simulation measurements. The silica–epoxy interfacial tribological and rheological behavior is then explored by conducting friction and creep simulations under dry and lubricated conditions. The friction force has been found linearly dependent on the normal load and increases with the sliding velocity while decreasing against water content. The modified Amontons law for the adhering surface could describe the silica–epoxy interfacial friction well. The shear stress level influences the creep characteristics with primary, secondary, and tertiary (or rupture) creep modes. The results of this study at the nano‐scale can be further developed to enhance the current contact laws of sand–FRP structure in micromechanics‐based modeling approaches.
Developing and deploying deep learning models in brain magnetic resonance imaging: A review
Authors: Aggarwal Kunal , Manso Jimeno Marina , Ravi Keerthi Sravan , Gonzalez Gilberto , Geethanath Sairam 
Published: August 2023

AbstractMagnetic resonance imaging (MRI) of the brain has benefited from deep learning (DL) to alleviate the burden on radiologists and MR technologists, and improve throughput. The easy accessibility of DL tools has resulted in a rapid increase of DL models and subsequent peer‐reviewed publications. However, the rate of deployment in clinical settings is low. Therefore, this review attempts to bring together the ideas from data collection to deployment in the clinic, building on the guidelines and principles that accreditation agencies have espoused. We introduce the need for and the role of DL to deliver accessible MRI. This is followed by a brief review of DL examples in the context of neuropathologies. Based on these studies and others, we collate the prerequisites to develop and deploy DL models for brain MRI. We then delve into the guiding principles to develop good machine learning practices in the context of neuroimaging, with a focus on explainability. A checklist based on the United States Food and Drug Administration's good machine learning practices is provided as a summary of these guidelines. Finally, we review the current challenges and future opportunities in DL for brain MRI.
Simulation of a virtual liver iron overload model and R2* estimation using multispectral fat–water models for GRE and UTE acquisitions at 1.5 T and 3 T
Authors: Neupane Prasiddhi , Shrestha Utsav , Brasher Sarah , Abramson Zachary , Tipirneni‐Sajja Aaryani 
Published: August 2023

AbstractR2*‐MRI has emerged as a noninvasive alternative to liver biopsy for assessment of hepatic iron content (HIC). Multispectral fat–water R2* modeling techniques such as the nonlinear least squares (NLSQ) fitting and autoregressive moving average (ARMA) models have been proposed for the accurate assessment of iron overload by also considering fat, which can otherwise confound R2*‐based HIC measurements in conditions of coexisting iron overload and steatosis. However, the R2* estimation by these multispectral models has not been systematically investigated for various acquisition methods in iron overload only conditions and across the full clinically relevant range of HICs (0–40 mg Fe/g dry liver weight). The purpose of this study is to evaluate the R2* accuracy and precision of multispectral models for various multiecho gradient echo (GRE) and ultrashort echo time (UTE) imaging acquisitions by constructing virtual iron overload models based on true histology and synthesizing MRI signals via Monte Carlo simulations at 1.5 T and 3 T, and comparing their results with monoexponential model and published in vivo R2*–HIC calibrations. The signals were synthesized with TE1 = 1.0 ms for GRE and TE1 = 0.1 ms for UTE acquisition for varying echo spacing, ΔTE (0.1, 0.5, 1, 2 ms), and maximum echo time, TEmax (2, 4, 6, 10 ms). An iron‐doped phantom study is also conducted to validate the simulation results in experimental GRE (TE1 = 1.2 ms, ΔTE = 0.72 ms, TEmax = 6.24 ms) and UTE (TE1 = 0.1 ms, ΔTE = 0.5 ms, TEmax = 6.1 ms) acquisitions. For GRE acquisitions, the multispectral ARMA and NLSQ models produced higher slopes (0.032–0.035) compared with the monoexponential model and published in vivo R2*–HIC calibrations (0.025–0.028). However, for UTE acquisition for shorter echo spacing (≤0.5 ms) and longer maximum echo time, TEmax (≥6 ms), the multispectral and monoexponential signal models produced similar R2*–HIC slopes (1.5 T, 0.028–0.032; 3 T, 0.014–0.016) and precision values (coefficient of variation < 25%) across the full clinical spectrum of HICs at both 1.5 T and 3 T. The phantom analysis also showed that all signal models demonstrated a significant improvement in R2* estimation for UTE acquisition compared with GRE, confirming our simulation findings. Future work should investigate the performance of multispectral fat–water models by simulating liver models in coexisting conditions of iron overload and steatosis for accurate R2* and fat quantification.
Effect of a texture‐modified and controlled bolus volume diet on all‐cause mortality in older persons with oropharyngeal dysphagia: Secondary analysis of a randomized controlled trial
Authors: Reyes‐Torres Carlos A. , Castillo‐Martínez Lilia , Ramos‐Vázquez Aniela G. , Cassis‐Nosthas Lorena , Zavala‐Solares Mónica , García‐de‐la‐Torre Guadalupe , Serralde‐Zúñiga Aurora E. 
Published: August 2023

AbstractBackgroundOropharyngeal dysphagia (OD) is common among older adults. Some studies have evaluated the efficacy of a texture‐modified diet on mortality but with short‐term follow‐up. We aimed to evaluate the effect of a texture‐modified diet and controlled bolus volume on all‐cause mortality after 12 months in older persons with OD.MethodsThis secondary analysis of a randomized clinical trial included patients aged ≥60 years with a diagnosis of OD. They were concurrently and randomly assigned to receive either a texture‐modified food diet and controlled bolus volume (intervention group) or standard treatment (control group) with 12 months of follow‐up. Secondary outcomes were oral intake, weight, handgrip strength, phase angle, and aspiration pneumonia. Kaplan‐Meier analysis and the Cox proportional hazards model were used for mortality analysis.ResultsA total of 127 participants (intervention group: 64 and control group: 63) were recruited, with a mean age of 76 years. The probability of all‐cause mortality was significantly lower in the intervention group (n = 8, 12%) than in the control group (n = 18, 29%) (hazard ratio = 0.36 [95% CI = 0.16–0.86]; P = 0.01). There were 5 (7.9%) and 10 (16.1%) aspiration pneumonia events in the intervention and control groups, respectively (not significant) in 12 months of follow‐up. Changes were observed in protein consumption (P = 0.01), body weight (P = 0.04), body mass index (P = 0.004), handgrip strength (P = 0.02), and phase angle (P = 0.04) between the treatment groups.ConclusionCompared with the standard treatment, the dietary intervention improved efficacy by limiting nutrition complications, aspiration pneumonia, and all‐cause mortality.
Management of the Difficult Airway: An Appraisal of Clinical Practice Guidelines
Authors: Fritz Christian , Monos Stylianos , Ng Jinggang , Romeo Dominic , Xu Katherine , Moreira Alvaro , Rajasekaran Karthik 
Published: August 2023

AbstractObjectiveManagement of the difficult airway can be a challenging process, which necessitates actionable recommendations from well‐established guidelines. Herein, clinical practice guideline (CPG) quality is evaluated using the Appraisal of Guidelines for Research and Evaluation (AGREE II) instrument.Study DesignA systematic literature search was performed using Scopus, EMBASE, and MEDLINE via PubMed.SettingLiterature database.MethodsData were abstracted from relevant guidelines and appraised by 4 expert reviewers in the 6 domains of quality defined by AGREE II. Intraclass correlation coefficients (ICC) were calculated across domains to quantify interrater reliability.ResultsTwelve guidelines met the inclusion criteria. With a mean quality score of 83.1%, the highest quality guideline was authored by the American Society of Anesthesiologists (ASA). Low‐quality content was observed in CPGs authored by the Japanese Society of Anesthesiologists (JSA) and the Chinese Collaboration Group for Emergency Airway Management (CCGEAM). Overall, deficits were most pronounced in domains describing the involvement of stakeholders, developmental rigor, and editorial independence. These findings were consistent among the panel of independent reviewers, with high ICC inter‐rater reliability scores of 58.0% to 70.0% for the referenced domains.ConclusionBy providing a comprehensive appraisal of guidelines, this report may serve as a reference for clinicians seeking to understand and improve upon the developmental quality of difficult airway management resources. According to AGREE II criteria for the quality of the guideline creation process, the 2022 ASA guideline outperforms its predecessors.
Automatic echocardiographic evaluation of the probability of pulmonary hypertension using machine learning
Authors: Liao Zuwei , Liu Kaikai , Ding Shangwei , Zhao Qinhua , Jiang Yong , Wang Lan , Huang Taoran , Yang LiFang , Luo Dongling , Zhang Erlei , Zhang Yu , Zhang Caojin , Xu Xiaowei , Fei Hongwen 
Published: August 2023

AbstractEchocardiography, a simple and noninvasive tool, is the first choice for screening pulmonary hypertension (PH). However, accurate assessment of PH, incorporating both the pulmonary artery pressures and additional signs for PH remained unsatisfied. Thus, this study aimed to develop a machine learning (ML) model that can automatically evaluate the probability of PH. This cohort included data from 346 (275 for training set and internal validation set and 71 for external validation set) patients with suspected PH patients and receiving right heart catheterization. Echocardiographic images on parasternal short axis‐papillary muscle level (PSAX‐PML) view from all patients were collected, labeled, and preprocessed. Local features from each image were extracted and subsequently integrated to build a ML model. By adjusting the parameters of the model, the model with the best prediction effect is finally constructed. We used receiver‐operating characteristic analysis to evaluate model performance and compared the ML model with the traditional methods. The accuracy of the ML model for diagnosis of PH was significantly higher than the traditional method (0.945 vs. 0.892, p = 0.027 [area under the curve [AUC]]). Similar findings were observed in subgroup analysis and validated in the external validation set (AUC = 0.950 [95% CI: 0.897−1.000]). In summary, ML methods could automatically extract features from traditional PSAX‐PML view and automatically assess the probability of PH, which were found to outperform traditional echocardiographic assessments.
P‐2.21: Research on multi‐lidar detection technology for autonomous driving
Authors: Wu Junming , Li Wanlin 
Published: August 2023

Nowadays autonomous driving has become a hot topic, many people pay attention to the field. Target detection through sensors is the basis of autonomous driving and plays an important role in high-level autonomous driving. The effective environmental information obtained by using a single sensor is less, and the visual sensor is easily affected by the weather and the algorithm is complex, so there are problems in real-time detection and accuracy. Multi-lidar detection is also a popular research in this field and has important research value and application prospect.This paper mainly describes the key steps of multi-lidar detection and proposes a fully automatic point cloud registration scheme. The fully automatic calibration method does not require manual initialization and does not rely on additional sensors at all, which can play a good role in multi-lidar detection. After that, the fused point cloud data is filtered to remove interference points and reduce the number of point clouds. In view of the under-segmentation of ground point cloud, the point cloud is mapped to the raster graph, and the ground point and non-ground point are separated by Random sample consensus algorithm and least square method. Then, distance-based clustering is used for obstacle detection on non-ground points.
Fabrication of Optical Fourier Surface by Multiple‐Frequency Vibration Cutting for Structural True Coloration
Authors: Ding Peiyuan , Zhang Jianfu , Feng Pingfa , Zhang Xiangyu , Zheng Zhongpeng , Wang Jianjian 
Published: August 2023

AbstractOptical Fourier surface is a unique patterned optical surface containing the precise sum of sinusoidal waves, each with a well‐defined spatial frequency and amplitude. It can manipulate the desired diffracted light field through its Fourier transform, which brings a straightforward mathematical method for designing complex diffractive optics. However, the fabrication techniques typically have the drawbacks of low efficiency, limiting the large‐scale industrial application of optical Fourier surfaces. This study presents a powerful approach, the multi‐frequency vibration cutting (MFVC), to enable the high‐efficiency fabrication of optical Fourier surfaces. A specific optical Fourier surface consisting of arbitrary frequency components of linear gratings has been fabricated on metallic surfaces using MFVC. Due to the capacity of multicomponent gratings in coupling red, green, and blue lights at the same incident angle, the RGB true color has been prepared. The additive and subtractive principles of mixing the three primary colors are demonstrated. The former relies on the light dispersion induced by grating diffraction, while the latter is based on the light absorption induced by the subwavelength grating‐coupled surface plasma polarization (SPP). The experimental results of authentic structural true color on the aluminum surface verify the efficacy of MFVC in the fabrication of optical Fourier surfaces.
Multi‐Channel Hollow Carbon Nanofibers with Graphene‐Like Shell‐Structure and Ultrahigh Surface Area for High‐Performance Zn‐Ion Hybrid Capacitors
Authors: Zhang YaFei , Zhu Chunliu , Xiong Yan , Gao Zongying , Hu Wei , Shi Jing , Chen Jingwei , Tian Weiqian , Wu Jingyi , Huang Minghua , Wang Huanlei 
Published: August 2023

AbstractPorous carbon is the most promising cathode material for Zn‐ion hybrid capacitors (ZIHCs), but is limited by insufficient active adsorption sites and slow ion diffusion kinetics during charge storage. Herein, a pore construction‐pore expansion strategy for synthesizing multi‐channel hollow carbon nanofibers (MCHCNF) is proposed, in which the sacrificial template‐induced multi‐channel structure eliminates the diffusion barrier for enhancing ion diffusion kinetics, and the generated ultrahigh surface area and high‐density defective structures effectively increase the quantity of active sites for charge storage. Additionally, a graphene‐like shell structure formed on the carbon nanofiber surface facilitates fast electron transport, and the highly matchable pore size of MCHCNF with electrolyte‐ions favors the accommodation of charge carriers. These advantages lead to the optimized ZIHCs exhibit high capacity (191.4 mAh g−1), high energy (133.1 Wh kg−1), along with outstanding cycling stability (93.0% capacity retention over 15000 cycles). Systematic ex situ characterizations reveal that the dual‐adsorption of anions and cations synergistically ensures the outstanding electrochemical performance, highlighting the importance of the highly‐developed porous structure of MCHCNF. This work not only provides a promising strategy for improving the capacitive capability of porous materials but also sheds light on charge storage mechanisms and rational design for advanced energy storage devices.