bluuebunny/crossref_metadata_2025_split huggingface dataset:
A study of otoacoustic emission and brainstem evoked response audiometry as audiological assessment modalities for early detection of hearing loss in children
Authors: Marathe Akshay , Vedi Jeevan , Ekhar Vipin , Shelkar Ritesh , Kaushal Swapnil 
Published: September 2023

Background: Aim of the research was to study the incidence of hearing loss in high risk children up to 5 years age and determine the common etiological factors associated with it.
Methods: Total 140 neonates falling under the norms of inclusion criteria and the children brought by parents with suspicion of having impaired hearing were subjected to thorough history taking and clinical examination followed by audiological examination in the form of otoacoustic emission (OAE) and brainstem evoked response audiometry (BERA). Those showing REFER or FAIL were subjected to BERA. Results were documented accordingly and analysed for identifying the common risk factors and degree of hearing loss.
Results: Maximum number of subjects with hearing loss were in the age group of 25-36 months age. Most common risk factor found was Consanguinity and most common postnatal risk factor was found to be hyperbilirubinemia. When compared to BERA, sensitivity of DPOAE was 97.59%, and the specificity was 92.98%.
Conclusions: Universal hearing screening of neonates at birth in the form of DPOAE and followed by BERA can reduce the average age of diagnosis of hearing loss and therefore, can provide an opportunity to initiate an appropriate rehabilitative program.
Asphaltene Flow Assurance Risk Evaluation Case Study to Establish Guidelines for CCUS in Arabian Gulf Carbonate Oil Field
Authors: Tange Masaaki , Hiraiwa Takeshi , Khlaifi Khuloud Tareq , Sakurai Risa , Bahri Sami , Abed Abdalla Abdelfattah , Uematsu Hiroshi , Makishima Ken , Inokuma Yuto , Sawata Masaru , Alkaabi Sultan Hamdan , Yonebayashi Hideharu 
Published: September 2023

Summary
In this paper, we present a case study for a comprehensive series of asphaltene flow assurance risk evaluations in the Arabian Gulf Carbonate Oil Field, where CO2 enhanced oil recovery (EOR) is recognized as one of the highest potential technologies for full-field implementation. At first, the sampling location was carefully selected considering the target reservoir’s features because the reliability of asphaltene studies highly depends on sample representativeness. After the quality assurance and quality control of collected samples, asphaltene onset pressures (AOPs) were measured at multiple temperatures under CO2 mixing conditions. The experimental design was optimized in terms of not only improving evaluation accuracy but also minimizing the experimental/sampling cost. The AOP measurements showed clear potential risks associated with CO2 injection. Subsequently, the numerical model analysis was conducted with the cubic-plus-association equation of state model to identify the risk area during CO2 injection. The analysis suggested that risk area is applicable to not only near-wellbore region at the sampling location but also tubing section/surface facility. Furthermore, risk level can be higher at the deeper location of the target reservoir. Finally, CO2-induced asphaltene formation damage risk was investigated from the viewpoints of precipitated asphaltene particle size and pore throat size in the porous media. As a result, the clogging risks from CO2-induced asphaltene were estimated to be high in the target reservoir. By virtue of the comprehensive risk evaluation, the asphaltene flow assurance risk associated with CO2 injection was identified field-wide. The findings from the evaluation encouraged us to move on to future actions, such as more detailed formation damage risk evaluation and mitigation plan development.
The extended asphaltene risk evaluation covering the precipitation to deposition phenomena and the reverse engineering for sampling operations based on the experimental design made a worthy demonstration to reduce unnecessary cost and time while obtaining the key information to drive the project. The procedure in this work can contribute to establishing a subsurface part of a guideline for carbon capture, utilization, and storage (CCUS) from the viewpoint of asphaltene flow assurance risk evaluation.
Sucuk, Turkish Style Fermented Sausage: Evaluation of the Effect of Bioprotective Starter Cultures on the Microbiological, Physicochemical and Chemical Changes
Authors: TOPCAM Mahide Muge YILMAZ , Arslan Betul , Soyer Ayla 
Published: September 2023

Abstract
Bioprotection, which is preferred in controlling food safety and shelf life by using natural protection methods, is one of the most popular of these natural protection methods. Lactic acid bacteria, especially Lactobacilli strains, are used in the food industry for this purpose due to probiotic properties and, accordingly, bioprotective properties. We aimed to investigate the role of bacteriocin-producing lactic acid bacteria, Lactobacillus sakei, and Pediococcus acidilactici, in microbiological, physicochemical and chemical changes of Turkish-style fermented sausage, sucuk. The effects of protective cultures were compared with commercial starter cultures consisting of Pediococcus pentosaceus + Staphylococcus carnosus and a non-cultured control group. L. sakei inoculation resulted in the rapid domination of lactic acid bacteria (LAB) in the environment followed by P. acidilactici inoculation whereas commercially used starter culture and non-culture groups had lower counts of LAB. Moreover, L. sakei and P. acidilactici succeeded to inhibit significant levels of pathogens including S. aureus, E. coli, and Enterobacteriaceae. The number of enterococci decreased notably in the L. sakei inoculated sucuk samples; however, an increase was determined in samples inoculated with P. acidilactici. On the other side, the effect of commercial starter cultures was not as sufficient as protective cultures for the inhibition of food-borne pathogens in sucuk samples. Consequently, the inoculation of protective cultures, particularly L. sakei, provided a considerable contribution to improving microbial quality and food safety, retards lipid oxidation and increases proteolytic activity without important changes in sensory properties.
Lack of univariate, clinically-relevant biomarkers of autism in resting state EEG: a study of 776 participants
Authors: Dede Adam , Xiao Wenyi , Vaci Nemanja , Cohen Michael , Milne Elizabeth 
Published: September 2023

Abstract
Neurodevelopmental disorders are difficult to diagnose, requiring expert clinicians and subjective judgements. Consequently, there has been interest in finding quantitative biomarkers for some disorders using resting state electroencephalogram (EEG) data. Here, we focus on resting state EEG biomarkers of autism. Although many previous reports have pointed to EEG-based differences between autistic and neurotypical participants, results have often failed to replicate and sample sizes have typically been small. Taking a big-data, open-science approach, we combined data from five studies to create a large sample of autistic and neurotypical individuals (n = 776) and used high-power computing to extract 942 variables from each participant’s data. Using a systematic, preregistered analysis pipeline, we failed to identify even a single EEG-based variable that could serve as a practically useful biomarker of autism clinical diagnosis. Our results highlight that a biomarker for autism drawn from resting state EEG data is an elusive construct that may not exist.
Effectiveness of cognitive rehearsal programs for the prevention of workplace bullying among hospital nurses in South Korea: A systematic review and meta-analysis
Authors: Jeong Yulliana , Jung Hye Sun , Baek Eun- Mi 
Published: September 2023

Abstract
Background: To solve the problem of workplace bullying among nurses, it is necessary to review the effects of interventions and generalize the findings. We conducted a systematic literature review and meta-analysis to evaluate the effects of cognitive rehearsal programs on workplace bullying among hospital nurses.
Methods: Data were collected from March 30 to April 11, 2021, and 11,048 journal articles published in South Korea and internationally were examined across seven databases. Nine articles were selected for inclusion in the systematic literature review; five of the nine studies were included in the meta-analysis. For randomized controlled trials, the risk of bias was evaluated, and for non-randomized controlled trials, the study quality was evaluated using the Risk of Bias for Non-randomized Studies version 2.0. Egger’s regression test was performed to determine publication bias.
Results: Of the nine articles selected for this study, two were randomized controlled trials and seven were non-randomized controlled trials. The I2 value was 18.9%, indicating non-significant heterogeneity. The overall effect size of the cognitive rehearsal programs was -0.40 (95% confidence interval: -0.604 to -0.196; Z = -3.85; p = .0001) in a random-effects model, indicating a large effect size with statistical significance.
Conclusions: Therefore, cognitive rehearsal programs that address workplace bullying among hospital nurses are effective. Health policymakers must implement cognitive rehearsal programs in a policy manner to address the problems of bullying in the workplace.
Edge Computing Environment for Real-Time Automated Satellite Image Classification using Deep Learning Algorithms
Authors: M Praneesh 
Published: September 2023

Abstract
Classification of image is one of the decisive processes in image processing. When the classification is coursed up manually, may extend inaccuracy in analysis methods. Consequently, sensing the satellite images leads to more complexity; it has become an important problem unconcealed by technologists and researchers globally. Prevalently, space-to-ground observation technique confining the surface of the earth, civil security and remote sensing for ocean monitoring were included. In order to afford a clear pixel composition a classified image is required. It confers a high computational cost if a high pixel composition of data with a high sustainable feature in order to establish a highly accurate image classification with proper data representation. To ascertain the above mentioned properties we require a better architectural model for finest classification. The righteous delivery of remote sensing images is the upmost utility of satellite images which renders an outcome of less cost effectiveness by a long way. In this paper, we encompass an integrate feature for classifying remote sensing images that is Support Vector Machine with Genetic Algorithm (HGA-SVM) architecture with 3D-CNN and SE-Net. The network Model initiates advents a straightforward and uncomplicated learning model that helps to encompass our proposed architecture that help the model to achieve an even classification of landscapes, a manageable pushover of accuracy and a reasonable computational cost to classify remote sensing images. In this work, we first train the features based on proposed deep learning model in agriculture fields using visible spectrum camera. After that, we develop an AI based edge computing system to fully automate the classification process. For the classification, SVM exemplify with SE-Net based CNN ultimately offshoot an optimal solution and enhanced classification of remote sensing images.
Impact of a virtual coaching program for women physicians on burnout, fulfillment, and self-valuation
Authors: Smith Sunny , Goldhaber Nicole , Maysent Kathryn , Lang Ursula , Daniel Michelle , Longhurst Christopher 
Published: September 2023

Abstract
Background: Coaching has been demonstrated to be an effective physician wellness intervention. However, this evidence-based intervention has not yet been widely adopted in the community. Documentation and implementation research of interventions to address physician burnout in real world settings is much needed.
Objective: Assess the impact of a virtual physician coaching program in women physicians
Design: Pre- and post-intervention surveys administered to participants enrolled in the program (N=329). Effect size was calculated comparing pre- and post-intervention paired data (N=201).
Participants: 201 women physicians from 40 states in the United States of America and 3 international participants
Interventions: Participants were given access to an 8 week virtual coaching program including eight individual, six small group, and 24 large group sessions.
Main Measures: Stanford Professional Fulfillment Inventory (PFI) containing categories for assessing professional fulfillment, burnout, and the Clinician Self-Valuation (SV) Scale (a measure of self-compassion).
Key Results: Burnout was found in 77.1% (N=155) of participants at baseline, which reduced to 33.3% (N=67) at completion with large effect size (Cohen’s d 1.11). The percentage of participants who endorsed significant professional fulfillment started at 27.4% (N=55) and improved to 68.2% (N=137) with a large effect size (Cohen’s d 0.95). Self-valuation improved from 17.9% (N=36) of the participants endorsing a compassionate self-improvement perspective to 64% of the same participants eight weeks later. The self-valuation metric showed a very large effect size (Cohen’s d 1.28).
Conclusions: Virtual physician coaching programs led by physician coaches can decrease burnout, improve professional fulfillment, and increase self-compassion. Non-institution-based opportunities for coaching available to any physician across the United States and internationally can facilitate access to effective physician well-being interventions.
Determination of total phenolic and flavonoid contents, antioxidant and antibacterial potential of the bark extracts of Syzygium guineense (Wild.) DC
Authors: Dessalegn Engeda , Mathewos Mengisteab , Gebremeskel Hiwot , Tuasha Nigatu 
Published: September 2023

Abstract
Background: Syzygium guineense (Wild.) DC. is a wild indigenous tree widely used as a traditional medicine for various human ailments in Ethiopia. The purpose of this study was to quantify total phenolic (TPC) and total flavonoid (TFC) contents and determine antioxidant and antibacterial activities of various solvent extracts of the bark of the plant.
Methods: The TPC and TFC were determined using Folin-Ciocalteu and aluminum chloride methods, respectively. The 2, 2-diphenyl-1–picrylhydrazyl (DPPH) scavenging, ferric reducing power (FRAP) and total antioxidant capacity (TAC) assays were used to evaluate the antioxidant activities. Antibacterial properties were determined using the disc-diffusion assay based on minimum inhibitory concentration (MIC) against four bacterial strains (Klebsiella pneumoniae, Escherichia coli, Staphylococcus aureus, and Salmonella typhimurium).
Results: The ethanol extract of the bark was found to have high TPC (37.80 ± 3.70 mgGAE/g) and TFC (19.22 ± 1.44mgQE/g). Similarly, the ethanol extract showed stronger DPPH scavenging activity (EC50=5.62 µg/mL). The FRAP and TAC were also strong (163.08±11.67 mgAAE/g and 143.72±2.86 mgBHTE/g of dried extract of 1 mg/mL, respectively). The lowest MIC was observed in acetone extract against S. aureus and in ethanol extract against K .pneumoniae. The chloroform extract was impotent against all microbial strains.
Conclusion: The bark of S. guineense possesses high TPC and TFC and strong FRAP and TAC asserting high antioxidant contents. The extracts have shown antibacterial activities against both Gram positive and Gram negative bacterial species. Thus, further in-depth investigations may warrant the isolation of powerful antioxidants and potent antimicrobial agents from the plant.
Orofacial Fascial Space Abscess Disguised as Temporomandibular Disorder: A Report of 3 Cases and Literature Review
Authors: Kim Tae-Seok , Lee Yeon-Hee 
Published: September 2023

Abstract
Fascial space abscess is a condition in which infections spread into fascial spaces. It is a severe and life-threatening disease unless treated at an early stage. Due to the similarity of clinical symptoms, fascial space abscesses in the orofacial area are often disguised as other diseases, such as temporomandibular disorder (TMD). In this case series, we report three cases of fascial space abscesses disguised as TMD. In all cases, patients complained of severely limited mouth opening and pain in the temporomandibular joint (TMJ) and masseter muscles, which led clinicians to diagnose them with TMD. After two patients showed facial swelling and the third complained of dyspnea, clinicians realized the possibility of an orofacial fascial space abscess. On further evaluation, all patients showed increased C-reactive protein in blood tests, and the location of the fascial space abscess was confirmed by enhanced computed tomography images. Moreover, all patients had suspicious sources of odontogenic infections in panoramic images, periapical abscess on maxillary molars and periodontal disease on maxillary and mandibular molars, which were not appropriately evaluated at the first visit. This case series emphasizes the need for clinicians to realize the possibility of orofacial fascial space abscesses based on: clinical symptoms of severely limited mouth opening (< 15mm) with pain in the facial area, including TMJ or masseter muscle, and possible sources of infection such as odontogenic infection, other infectious lesions, trauma, or invasive treatments. These clinical insights will enable the early detection of fascial space abscesses.
Whole-genome resequencing provides insights into the diversity and adaptation to desert environment in Xinjiang Mongolian cattle
Authors: Xu Lei , Zhou Kaiqing , Huang Xixia , Chen Hong , Dong Hong , Chen Qiuming 
Published: September 2023

Abstract
Background: Xinjiang Mongolian cattle is an indigenous breed living in the Taklimakan Desert and with small body size. However, the genomic diversity, origin, and genetic basis underlying the adaptation to the desert environment have been poorly studied.
Results: We analyzed patterns of Xinjiang Mongolian cattle genetic variation by sequencing 20 genomes and comparing them to the 136 genomes of 10 representative breeds worldwide. We found the highest nucleotide diversity associated with the lower inbreeding coefficient, the lowest linkage disequilibrium, and the highest effective population size in Xinjiang Mongolian cattle. The genomic diversity pattern could be explained by the Bos taurusclade property of Xinjiang Mongolian cattle with a limited introgression of Bos indicus genes. More importantly, we identify signatures of convergent selection in desert animals (Xinjiang Mongolian cattle, camel and sheep originating from the Taklimakan Desert region) including genes, GO terms, and/or KEGG pathways controlling water reabsorption and osmoregulation, metabolic regulation and energy balance,and small body size.
Conclusions: Our results imply that Xinjiang Mongolian cattle might have acquired distinct genomic diversity by virtue of the introgression of Bos indicus, which helps understand the demographic history. The identification of selective signals can provide novel insights into the genomic basis underlying the adaptation of Xinjiang Mongolian cattle to the desert environment.
Association between Predicted Lean Mass and Abdominal Aortic Calcification in US Adults
Authors: Zhang Cheng , Wu QingChen , ye liu , Shao Yue , lai qiancheng 
Published: September 2023

Abstract
Background: The association between different body compositions and artery calcification has been proven in several studies. Evidence is still limited concerning abdominal aortic calcification (AAC) and predicted lean mass. This finding examined the relationship between predicted lean mass and abdominal aortic calcification in the United States (US) adults based on 2013–2014 National Health and Nutrition Examination Survey (NHANES).
Methods: Herein, 3077 respondents were selected from NHANES. Outcome variables were AAC score and severe AAC. We applied survey-weighted multiple regression analysis to examine the correlation between predicted lean mass and AAC. The restricted cubic spline was carried out to depict the linear correlation between predicted lean mass and AAC. Furthermore, we used stratification analysis to find if the correlation of predicted lean mass with severe AAC was sustained across various subclasses.
Results: Compared to other groups, participants in the first quintile presented higher AAC scores and a higher incidence of severe AAC. The weighted multivariable regression analysis indicated that predicted lean mass showed independent and significant inverse relationships to AAC score and severe AAC (all P<0.05). Restricted cubic splines observed that the correlation between predicted lean mass and AAC score, AAC severe were linear (P for non-linearity >0.05). Relationship between predicted lean mass and severe AAC was still significant in mostsubclasses.
Conclusions: Predicted lean mass was correlated with a decreased risk of AAC in US adults.
Knowledge, attitude, and practice toward allergic rhinitis among parents
Authors: Lu Lingya , Feng Jinyan , Zhu Lihua , Chen Aina , Chen Xuenai , Lu Yanming 
Published: September 2023

Abstract
Background: This study examined the knowledge, attitude, and practice (KAP) toward allergic rhinitis (AR) among parents.
Methods:This cross-sectional study enrolled parents of children with AR at Ningbo Hangzhou Bay Hospital between December 2022 and March 2023. A self-administered questionnaire was developed to collect the demographic characteristics, knowledge, attitude, and practice toward AR.
Results:This study included 480 questionnaires and 78.33% were mother. The mean knowledge, attitude, and practice scores were 13.49±6.62 (possible range: 0-24), 33.99±3.40 (possible range: 8-40), and 21.52±3.36 (possible range: 5-26), indicating poor knowledge, positive attitudes, and proactive practice. Multivariable logistic regression analysis showed living in urban areas in Ningbo outside Hangzhou Bay New Zone (OR=4.14, 95%CI: 1.43-11.97, P=0.009), living in rural areas in Ningbo (OR=2.21, 95%CI: 1.03-4.73, P=0.042), child with one biological sibling (OR=0.48, 95%CI: 0.29-0.78, P=0.003), and >6 times hospital visits for AR (OR=2.23, 95%CI: 1.34-3.72, P=0.002) were independently associated with adequate knowledge. Knowledge (OR=1.09, 95%CI: 1.05-1.13, P<0.001) and >6 times hospital visits for AR (OR=1.84, 95%CI: 1.06-3.22, P=0.032) were independently associated with positive attitude. Knowledge (OR=1.08, 95%CI: 1.04-1.13, P=0.001), attitude (OR=1.41, 95%CI: 1.28-1.55, P<0.001), monthly income per capita >20,000 CNY (OR=3.59, 95%CI: 1.49-8.65, P=0.004), and no previous hospital visit for AR (OR=0.38, 95%CI: 0.20-0.72, P=0.003) were independently associated with proactive practice.
Conclusions: The parents of children with AR had poor knowledge but positive attitudes and proactive practice toward AR. This study has identified a need for specific and reliable information initiatives to be introduced as a means of reducing parental concern and ensuring evidence-based strategies for managing child with AR.