bluuebunny/crossref_metadata_2025_split huggingface dataset:
What is the best technic to dislodge Staphylococcus epidermidis biofilm on medical implants?
Authors: Moris Vivien , Lam Mylan , Amoureux Lucie , Magallon Arnaud , Guilloteau Adrien , Zwetyenga Narcisse , Falentin-Daudre Céline , Neuwirth Catherine , Maldiney Thomas 
Published: February 2022

Abstract
BackgroundBacterial biofilm can occur on all medical implanted devices and lead to infection and/or dysfunction of the device.In this study, artificial biofilm was formed on four different medical implants (silicone, piccline, peripheral venous catheter and endotracheal tube) of interest for our daily clinical and/or research practice. We investigated the best conventional technic to dislodge the biofilm on the implants and quantified the number of bacteria. Staphylococcus epidermidis previously isolated from a breast implant capsular contracture on a patient in the university hospital of Dijon was selected for its ability to produce biofilm on the implants. Different technics (sonication, Digest-EUR®, mechanized bead mill, combination of sonication plus Digest-EUR®) were tested and compared to detach the biofilm before quantifying viable bacteria by colony counting.ResultsFor all treatments, the optical and scanning electron microscope images showed substantial less biofilm biomass remaining on the silicone implant compared to non-treated implant. This study demonstrated that the US procedure was statistically superior to the other physical treatment: beads, Digest-EUR® alone and Digest-EUR® + US (p < 0.001) for the flexible materials (picc-line, PIV, and silicone). The number of bacteria released by the US is significantly higher with a difference of 1 log on each material. The result for a rigid endotracheal tube were different with superiority for the chemical treatment dithiothreitol: Digest-EUR®. Surprisingly the combination of the US plus Digest-EUR® treatment was consistently inferior for the four materials.ConclusionsDepending on the materials used, the biofilm dislodging technique must be adapted. The US procedure was the best technic to dislodge S. epidermidis biofilm on silicone, piccline, peripheral venous catheter but not endotracheal tube. This suggested that scientists should compare themselves different methods before designing a protocol of biofilm study on a given material.
Automatic Detection Method of Mining subsidence basin based on InSAR and CNN-AFSA-SVM
Authors: Wang Lei , Li Shibao , Jiang Chuang , Teng Chaoqun , Li Jingyu , Li Zhong , Huang Jinzhong 
Published: February 2022

Abstract
Mining subsidence disasters are common geological disasters. Accurate and effective identification of their deformation position is significant in preventing and controlling geological disasters and monitoring illegal mining. In this study, we used deep learning combined with support vector machine (SVM) to establish an automatic detection method for mining subsidence basins using Sentinel-1A data. The Huainan mining area was selected as the experimental area to verify the method. The interferogram was obtained using differential radar interferometry (D-InSAR), and the mining subsidence basin and other targets were extracted manually as training samples. Subsequently, AlexNet, VGG19, and ResNet50 convolutional neural networks (CNNs) were used to extract feature vectors of mining subsidence basins for the SVM classifier, and mining subsidence basins were detected in a large-area InSAR interferogram; The artificial fish swarm algorithm with strong optimization ability and good global convergence is introduced into SVM parameter optimization to construct an improved ResNet50_ SVM model. The experimental results show that (1) the three CNN_SVM methods can accurately detect dry mining subsidence basins automatically in large regional interference maps, providing an essential scientific basis for the government to monitor illegal mining activities and prevent and control geological disasters in mining areas; (2) the accuracy of the CNN_SVM automatic detection methods for mining subsidence basins is approximately 80%, and that of ResNet50_SVM for mining subsidence basin detection is 83.7%, superior to that of AlexNet_SVM and VGG19_SVM, The accuracy of the improved ResNet50_SVM based on AFSA algorithm is 88.3%, which is better than the unimproved Resnet50_SVM model.
Unveiling of metal-tolerance bacterial consortia in chromite mine by metagenomic approaches
Authors: Pradhan Sukanta Kumar , Sahu Dinesh Kumar , Singh Nihar Ranjan , Kumar Upendra , Thatoi Hrudayanath 
Published: February 2022

Abstract
Heavy metal-contaminated soils are a widespread problem in mine field environments. To gain insights on the structural and functional diversity of bacterial community present in chromium contaminated mine soil obtained from Sukinda Chromite mine of Odisha (India), whole metagenomic analysis was performed by using Illumina HiSeq platform. Chromite mine soils contain high concentrations of heavy metals such as Mn, Fe, Cu besides chromium and low concentrations of organic carbon, available nitrogen, phosphorus and potassium. The bacterial community living in that hostile environment was correlated with the inherent abilities of these strains to be involved in the reduction of the major heavy metal Cr(VI). Our results showed that Proteobacteria (66.45%) were found to be the most abundant in the study area, followed by Actinobacteria (17.32%), Bacteroidetes (4.65%). The Keto Encyclopedia of Genes and Genomes (KEGG) functional category has 228543 predicted functions, 20% of which were involved in cellular metabolic functions, 5.21% in genetic information processing and 5.13% in environmental and information processing, while SEED functional category has 112542 predicted functions. Of which 11.73% are involved in carbohydrate metabolism with 13202 hits, followed by 10.57% amino acids and derivatives with 11899 hits, 8.24% protein metabolism with 9282 hits, 6.88% DNA metabolism with 7746 hits with and 5.94% cofactors, vitamins, prosthetic group, pigments with 6687 hits. The isolated bacterial consortia exhibited visible growth up to a Cr concentration of 800 mg L−1. The results presented in this study have important implications for understanding bacterial diversity in chromium-contaminated mine soils and their role in exhibiting Cr(VI) resistance.
First National-Scale Evaluation of Temephos Resistance in Aedes Aegypti in Peru.
Authors: Palomino Miriam , Pinto Jesus , Yañez Pamela , Cornelio Anali , Dias Luciana , Amorim Quesia , Lenhart Audrey , Lima Jose Bento Pereira 
Published: February 2022

Abstract
Background: Resistance of Aedes aegypti to insecticides can lead to operational failures in control programs. Knowledge of the spatial and temporal trends of this resistance is needed for effective monitoring, on which vector control decision-making should be based.Methods: The organophosphate insecticide temephos was evaluated in L3 larvae in dose-response bioassays with eleven concentrations of the insecticide, following WHO recommendations. The mosquitoes tested were Ae. aegypti larvae of F1 and F2 generations from eggs collected with ovitraps during 2018 and 2019.Results: The results segregated into two geographic groups. The first group, from the coast, was mostly resistant to temephos (RR > 10), with three populations (AG, CR and LO) showing RR values greater than 20 (AG 21.5, CR 23.1, LO 39.4). The populations in the second group, from the jungle of the Amazon and high jungle, showed moderate levels of resistance (defined as RR values between 5 and 10) with values ranging between 5.1 in JN and 7.1 in PU. Exception in this region was the population of PM, which showed a RR value of 28.8 to this insecticide.Conclusions: The results demonstrate that Ae. aegypti populations in Peru present different resistance intensities to temephos, even after the suspension of its widespread use. Resistance to this larvicide should continue to be monitored because it is possible that resistance to temephos could decrease in the absence of routine selection pressures.
A proposal new classification in multi-ligament knee injuries based on both femorotibial joint and patellofemoral joint factors
Authors: TAJIMA Takuya , YAMAGUCHI Nami , MORITA Yudai , YOKOE Takuji , NAGASAWA Makoto , OTA Tomomi , KAWAGOE Shuichi , CHOSA Etsuo 
Published: February 2022

Abstract
BackgroundKnee extensor structure disruption is sometimes combined with multi-ligament knee injury (MLKI). These cases could not be classified into the previous classification for knee dislocation or MLKI. To propose a new classification of MLKI that addresses both femorotibial and patellofemoral (PF) factors.MethodsThe present study involved patients diagnosed with MLKI at our institute. Cases with two or more injured structures diagnosed clinically and by MRI and X-ray examinations were included. Details of injured structures were defined as follows: ‘cruciate ligaments’, including the ACL and PCL; ‘collateral ligaments’, including the MCL and the posterolateral corner (PLC); and the ‘PF joint factor’, including the medial patellofemoral ligament (MPFL), quadriceps tendon, and patellar tendon. A total of 65 cases met the inclusion criteria from 2007 to August 2020 and were enrolled in this study.Based on the number of injured structures, cases were categorized as: Type A, two structures injured; Type B, three structures injured; Type C, four structures injured; and Type D, five structures injured. Depending on the combination of injured structures, they were subdivided into 1 to 5 in Types A and B and into 1 to 3 in Type C. Additional injuries were subdivided as follows: MLKI with fracture was defined as X, with neurovascular injury as Y, and both fracture and neurovascular injury as Z. MLKI cases were divided into both Schenck’s KD classification and the present classification.ResultsFourteen of 65 cases (21.5%) could not be categorized using Schenck’s KD classification; two cases of PLC+MPFL (Type-A5 in new classification), ACL+PLC with periarticular fracture (Type-A1-X), and single cases of ACL+MCL+PLC (Type-B2), ACL+PCL+MCL+PLC+MPFL (Type-D), ACL+MPFL (Type-A4), ACL+MCL+MPFL (Type-B3), PCL+PLC+ patellar tendon with periarticular fracture (Type-B3-X), and PCL+ patellar tendon (Type-A4), ACL+PLC with neurovascular injury (Type-A1-Y), and three cases of PCL+PLC with complications (Type-A1-X, -Y, -Z). With the new classification for MLKI and complications, all cases were successfully assigned to each category.ConclusionIn the present classification, every combination of MLKI cases containing both tibiofemoral and patellofemoral factors, with or without complications, was successfully classified into a suitable category.
The Ultrasound-Guided Funicular Block in Cats Undergoing Orchiectomy: Ropivacaine Injection into The Spermatic Cord to Improve Intra and Postoperative Analgesia
Authors: Cicirelli Vincenzo , Matteo Burgio , Bella Caterina , Lacalandra Giovani M , Aiudi Giulio 
Published: February 2022

Abstract
Background: The orchiectomy in cats is a common surgical procedure with medium level of pain and for this reason requires intra and postoperative analgesia management. The aim of this study was to compare intra and postoperative pain in two groups of cats undergoing orchiectomy. Sixty healthy cats were randomly assigned in two groups (n=30) to receive pre surgery ropivacaine hydrochloride (0.2 mL/kg at 0.5%) (R Group) or NaCl 0.9% (C group) into the spermatic cord. The intraoperative evaluation was carried out using the hemodynamic stability parameters and eventually administration of rescue analgesia. A rescue analgesia (fentanyl 2 µg/kg) was administered during orchiectomy in case of considerable increase of blood pressure, heart rate or respiratory rate. The postoperative evaluation was been done using scores following a UNESP-Botucatu multimodal scale for 6 hours post-surgery. Results: As result, cats in R group responded better to surgical procedure, maintaining lower postoperative pain scores than C group. Conclusions: The ultrasound-guided funicular block used in this study, as already demonstrated in dogs, is a good method to protect the cats from surgical pain and ensure a good level of surgical analgesia.
Liquid-liquid equilibria for aromatic extraction systems using artificial neural networks
Authors: Ahmed Saad , Al-Dujaili Ammar 
Published: February 2022

Abstract
Phase equilibrium data regression is necessary to obtain the suitable values for modelling liquid-liquid extraction. It is important in equipment design, simulation, and optimization. Different factors may affect the accuracy of results. The present paper treats the nonlinear behavior of multicomponent liquid-liquid extraction using artificial neural networks. Two systems were studied, pentane-benzene- sulfolane system and heptane-benzene-tetraethylene glycol (TEG)-water system. Learning the first system in the neural networks doesn’t gave good results while for the second equilibrium system, interaction terms were input, good values of mean square error and regression coefficient (R2) values achieved.
Crack detection in upsetting of aluminum alloy using acoustic emission monitoring technology
Authors: Ha Mingyu , Kim Ji Hoon , Kim SangWoo 
Published: February 2022

Abstract
Acoustic emission technology relies on detecting and converting elastic (acoustic) waves from solids undergoing internal structural irreversible changes into electrical signals. This technique represents a non-destructive testing method used in industrial fields such as weld monitoring, proof testing, and flaw detection of pressure vessels. In this study, the applicability of acoustic emission technology for detecting and monitoring defects in a workpiece during a metal forming process was studied. A notch shape was designed using the finite element method to induce a premature crack on the surface of aluminum alloy cylindrical specimens by compressing them using a pair of flat dies. During the upsetting tests, acoustic emission signals and images of the notched specimen were recorded in real time. The obtained acoustic emission signals were analyzed through various parameters such as amplitude, energy, and RMS to determine the crack occurrence. Moreover, the signal results were compared with those from images obtained simultaneously to confirm the crack detection. The experimental results showed that acoustic emission technology could successfully detect crack occurrence in aluminum materials during the upsetting tests. These results imply an opportunity to detect material defects during various metal forming processes using acoustic emission technology.
Automated Identification of Hip Arthroplasty Implants Using Artificial Intelligence
Authors: Gong Zibo , Fu Yonghui , He Ming , Fu Xinzhe 
Published: February 2022

Abstract
Objectives: The purpose of this study was to develop and evaluate the performance of deep learning methods based on convolutional neural networks (CNN) to detect and identify specific hip arthroplasty models.Methods: In this study, we propose a novel deep learning-based approach to identify hip arthroplasty implants’ design using anterior-posterior (AP) images of both the stem and the cup. We harness the pre-trained ResNet50 CNN model and employ transfer learning methods to adapt the model for implants identification task using a total of 714 radiographs of 4 different hip arthroplasty implant designs. Performance was compared with operative note and crosschecked with implant sheets. We also evaluate the difference of performance of models trained with the images of the stem, the cup or both.Result: The training and validation data sets were comprised of 357 stem images and 357 cup radiographs across 313 patients and included 4 hip arthroplasty implants from 4 leading implant manufactures. After 1000 training epochs the model classified 4 implant models with very high accuracy. Our results showed that jointly using stem images and cup images did not improve the classification accuracy of the CNN model.Conclusion: CNN can accurately distinguish between specific hip arthroplasty designs. This technology could offer a useful adjunct to the surgeon in preoperative identification of the prior implant. However, using both stem images and cup images to train the CNN is not more effective than using images from only one perspective.
The combined effect of nanobubble-IR783-HPPH- affibody complex and laser on HER2-positive breast cancer
Authors: Zhang Li , Cai Wenbin , Lv Wei , Meng Li , Duan Yunyou 
Published: February 2022

Abstract
Introduction: Nanobubble is an innovative ultrasound contrast agent that triggers the development of targeted imaging of HER2-positive breast cancer by combining with HER2 affibody and IR783. HPPH is a second-generation photosensitiser that is effective in treating tumours. Hence, the nanobubble-IR783-HPPH-affibody (NIHA) complex demonstrates considerable potential in the treatment of HER2-positive breast cancer. Methods: We fabricated the NIHA complex via an advanced thin-film hydration method and detected its characteristics such as particle size, morphology, and stability cytotoxicity. Moreover, the effect of NIHA complex with laser on HER2-positive breast cancer was confirmed via in vitro and in vivo experiments. Results: The NIHA complex was spheroid, stable, and exhibited no evident cytotoxicity; moreover, its particle size was 524.8 ± 53.3 nm (n = 5). In combination with laser treatment, NIHA complex reduced the cell viability and tumour volume, induced apoptosis of HER2-positive breast cancer cells, and prolonged survival of nude mice. Conclusion: The newly prepared NIHA complex with laser treatment Have the potential on treating HER2-positive breast cancer.
Acetolysis of waste PET for upcycling and life-cycle assessment study
Authors: Peng Yuantao , Yang Jie , Deng Chenqiang , Fu Yao , Deng Jin 
Published: February 2022

Abstract
To reduce environmental pollution and reliance on fossil resources, polyethylene terephthalate (PET) as the most consumed synthetic polyester needs to be recycled effectively. However, the existing recycling methods cannot process colored or blended PET materials for upcycling. Here we report a new efficient method for acetolysis of waste PET into terephthalic acid (TPA) and ethylene glycol diacetate (EGDA) in acetic acid. Since acetic acid can dissolve or decompose other components such as dyes, additives, blends, etc., TPA can be crystallized out in a high-purity form. On the other hand, EGDA can be hydrolyzed to ethylene glycol or directly polymerized with TPA to form PET, completing the closed-loop recycling. The life-cycle assessment shows that, compared with the petroleum route, 67% of global warming potential and 77% of non-renewable energy use can be reduced via acetolysis under optimum conditions. This is the lowest environmental impact of all chemical recycling options available today.
The Relationship Between the Amount of Breastfeeding and Late-onset Sepsis in Very Low Birth Weight Infants Within 4 Weeks After Birth
Authors: Xiong Xiaoyun , Wang Huiyan , Chen Xueyu , Yang Chuanzhong , Chen Lilian , Lin Bingchun , Chen Chun 
Published: February 2022

Abstract
Objective: To assess the relationship between the amount of breastfeeding and late-onset sepsis in very low birth weight infants within 4 weeks after birth.Study Design: In this retrospective study, we analyzed the effect of the breastfeeding ratio of 305 very-low-birth-weight infants on late onset sepsis.Results: The incidence of late-onset sepsis in the high-breastfeeding group, low-breastfeeding group, and the formula-fed group was 0.49% (1/203), 7.41% (6/81), and 4.76% (1/21), respectively (P < 0.05). Single-factor logistic regression analysis showed that, in the low-breastfeeding group, the risk of late-onset sepsis higher than that in the high-breastfeeding group, with an OR value of 16.16 (95% CI: 1.91, 136.47) (P < 0.05). Multivariate logistic regression analysis also confirmed that, compared with the high-breastfeeding group, the low-breastfeeding group had an increased risk of late-onset sepsis, with an OR value of 18.86 (95% CI: 1.91, 136.47) (P < 0.05). Conclusion: The breastfeeding amount of very-low-birth-weight newborns accounting for more than 60% of the total feeding amount within four weeks after birth may reduce the risk of late-onset sepsis.
Pro-MAP: A Robust Pipeline for the Pre-processing of Single Channel Protein Microarray Data
Authors: Mowoe Metoboroghene Oluwaseyi , Garnett Shaun , Lennard Katherine , Talbot Jade , Townsend Paul , Jonas Eduard , Blackburn Jonathan Michael 
Published: February 2022

Abstract
Background: The central role of proteins in diseases has made them increasingly attractive as therapeutic targets and indicators of cellular processes. Protein microarrays are emerging as an important means of characterising protein activity. Their accurate downstream analysis to produce biologically significant conclusions is largely dependent on proper pre-processing of extracted signal intensities. However, existing computational tools are not specifically tailored to the nature of these data and lack unanimity. Results: Here, we present the single-channel Protein Microarray Analysis Pipeline (Pro-MAP), a tailored computational tool for analysis of single-channel protein microarrays enabling biomarker identification, implemented in R, and as an interactive web application. We compared four existing background correction and normalization methods as well as three array filtering techniques, applied to four real datasets with two microarray designs, extracted using two software programs. The normexp, cyclic loess, and array weighting methods were most effective for background correction, normalization, and filtering respectively.Conclusions: Thus, here we provided a versatile and effective pre-processing and differential analysis workflow for single-channel protein microarray data in form of an R script and web application for those not well versed in the R programming language.
Probiotics are a good choice for the treatment of Bacterial Vaginosis: a meta-analysis of randomized controlled trial
Authors: Chen Rongdan , Li Rong , Qing Wei , Zhang Yingxuan , Zhou Zuyi , Hou Yi , Shi Yiya , Zhou Hongwei , Chen Muxuan 
Published: February 2022

Abstract
Background: Bacterial vaginosis is one of the most common vaginal infectious diseases in female reproductive period. Although the existing view is that probiotic treatment may be one of the feasible methods for the treatment of bacterial vaginosis, different intervention methods lead to different treatment results. Therefore, up-to-date and comprehensive evidence in this regard is essential for the development of intervention strategies.Objective: This meta-analysis aims to systematically evaluate the role of probiotics in the treatment of Bacterial Vaginosis (BV) in adult women. Methods: We searched the databases of Embase, Cochrane Library, PubMed, Web of Science and ClinicalTrials.gov for Randomized Controlled Trials published until November 7, 2021.Meta-analysis was performed by Revman5.3 software to systematically evaluate the clinical efficacy of probiotics adjunctive therapy in the treatment of BV. The literatures were screened and evaluated according to the inclusion and exclusion criteria. Chi-square test was used to test the heterogeneity between trials. Random or Fixed effect models were used to analyze the cure rate of BV. Results: Fourteen randomized controlled trials compared the efficacy of probiotics with antibiotic therapy (probiotics + antibiotics group) versus antibiotics alone or plus placebo (antibiotics (+placebo) group) for BV [RR = 1.23, 95% CI (1.05, 1.43), P = 0.009]. Three compared the efficacy of probiotics regimen (probiotics group) and antibiotics (antibiotics group) in the treatment of BV [RR = 1.12, 95% CI (0.60, 2.07), P =0.72]. Another Three compared the efficacy of probiotics regimen (probiotics group) with placebo (placebo group) [risk ratios (RR) = 15.20, 95% CI (3.87, 59.64), P < 0.0001]. Conclusion: Our meta-analysis suggests probiotics may play a positive role in the treatment of BV, but more strong evidence is needed.