bluuebunny/crossref_metadata_2025_split huggingface dataset:
Feasibility and Safety of Canine Orchiectomy Using Scrotal Approach and a Vessel-Sealing Device: A Prospective Observational Study of 200 Cases
Authors: Yiapanis Christos , Ober Ciprian , Potamopoulou Maria , Vasilakis Theodoros , Milgram Joshua 
Published: September 2021

Abstract
Background: Canine orchiectomy involves making an incision in the prescrotal area, exteriorizing both testes via the same incision, ligating the blood vessels and spermatic cord, removing the testes, and suturing the incision. A briefer durations of anesthesia and surgery and decrease of postoperative morbidity could be obtain using a vessel sealing device. The aim of this study was to determine the feasibility and safety of orchiectomy in dogs by a scrotal approach with the use of a vessel-sealing device. Scrotal orchiectomy was performed with the use of monopolar electrosurgery device in pure cutting mode and a vessel-sealing device. Data were collected prospectively for the following categorical variables: breed, age, body weight, lifestyle, surgical time, indications for surgery and complications.Results: No complications were reported in 187 of 200 (93.5%). The complications documented were automutilation (AM), incisional complications (IC) and scrotal complications (SC). AM complications (11/200 [5.5%]) and SC complications (2/200 [1%]) were treated without additional surgery and resolved by day 10 after the surgery. Procedure duration (2,1 minutes± 0.4 minutes) was briefer than traditional castration duration reported in literature (3.5 ± 0.4 minutes).Conclusions: Results suggested that canine orchiectomy by scrotal approach with the use of a vessel-sealing device was feasible and safe. Furthermore, it was associated with a low complication rate and had the benefit of reduced surgical time and postoperative morbidity. This technique is promising for widespread application in veterinary surgery to help with haemostasis in canine orchiectomy.
Clinical Benefits and Adverse Effects of Siwak (S. Persica) Use on Periodontal Health: a Scoping Review of Literature
Authors: Ramli Haslinda , Mohd-Dom Tuti Ningseh , Mohd-Said Shahida 
Published: September 2021

Abstract
Background: Siwak is a chewing stick used as an oral hygiene aid associated with Muslim communities across the globe since more than 1500 years ago. Used either exclusively or in conjunction with a regular toothbrush, there is evidence supporting its clinical effectiveness in plaque control, but adverse effects on periodontal health remains inconclusive. Objective: This study aims to systematically review the wide range of data and literatures related to siwak practice and its effect on periodontal health. Method: The review was conducted based on scoping review techniques, searching literature in EBSCOHOST, PubMed, SCOPUS and Google scholar databases using the following search terms: “siwak’ or ‘miswak’ or ‘chewing stick” for intervention, and “periodontium or ‘periodontal’ or ‘periodontal health’ or ‘periodontal disease” for outcome. Articles published between January 1990 to March 2021 and written in English language were included Results: A total of 721 articles collected from the search and 21 of them were eligible for the final analysis. Results of this study was described based on clinical and antibacterial reporting of siwak, method of siwak practice and its adverse effect on oral health. Siwak was found effective at removing dental plaque and improving periodontal health over time although its effect on subgingival microbiota was inconclusive. Presence of gingival recession and clinical attachment loss were much more commonly reported in siwak users, attributable to variations in the methods employed for tooth cleaning using the siwak.Conclusion: There is substantial evidence that the lack of standardised reporting for effective siwak use may have resulted in contradictory findings about its oral hygiene benefits and adverse effects. As such, future work on safe and effective siwak practice is to be advocated among its users.
Parents’ Perceptions of School Recess Policies and Practices
Authors: Ozenbaugh Isabella , Thalken Janelle , Logan Sam , Stellino Megan , Massey William V. 
Published: September 2021

Abstract
Background: Previous research has shown that school recess can provide children with physical, social and cognitive benefits; yet, recess opportunities and experiences may be different between children with and without disabilities. Parent perceptions of recess are important to consider as they serve as advocates for their children’s access and opportunities at school.Objective: To examine parent perceptions of recess by children’s disability status, family household income, and race/ethnicity.Method: Participants included 473 parents from the US stratified across six household income levels. Confirmatory factor analyses were run for all 3 scales assessing parents’ perception of belonging and victimization at recess, recess policies, and recess procedures. Regression analyses were run to examine if parents’ perception of recess were predicted by race, income, or child disability status. Results: Results revealed that parents’ perceptions of recess were predicted by child disability status but not income or race. Specifically, parents’ perceptions were significantly predicted by child disability status regarding victimization (b = .13, SE = .06, p = .05), recess policies about withholding recess (b = .171, SE = .07, p = .01), and finally, student engagement at recess (b = .165, SE = .07, p = .02).Conclusion: Results show that according to their parents, children with disabilities may have a different experience at recess than children without disabilities and that there are ways to improve the recess environment to better meet the needs of all children.
Gene Rearrangements in the Mitochondrial Genomes of Whiteflies (Hemiptera: Aleyrodinae): Plesiomorphies, Synapomorphies and Autapomorphies
Authors: Pakrashi Avas , KUMAR VIKAS , Banerjee Dhirti , Tyagi Kaomud , Kalleshwaraswamy C. M. 
Published: September 2021

Abstract
Mitochondrial genome rearrangements have been used for defining historical relationships, but there have been incidences of convergences at different taxonomic levels. Here, we sequenced complete mitogenome of Aleurodicus rugioperculatus (Aleyrodidae: Aleurodicinae) to examine gene rearrangements and phylogenetic relationships within the family Aleyrodidae. We identified five gene blocks (I-V) in the whitefly ancestor that are shared plesiomorphies retained in different whitefly lineages. Gene block I is conserved in all whiteflies except three species (Tetraleurodes acaciae and two Bemisia species). Conversely, we detected 83 derived gene boundaries within the family. Mapping these gene boundaries onto a phylogenetic tree revealed that 16 were symplesiomorphies for two subfamilies; 9 were synapomorphies at different taxonomic levels, and 28 autapomorphies for individual species. Bayesian Inference (BI) and Maximum Likelihood (ML) phylogenetic analyses yielded similar topologies supporting the monophyly of Aleyrodinae and Aleurodicinae. Exclusion of PCG third codon positions from phylogenetic analyses improved both node support and consistency with prior analyses. To understand the significance of gene order convergence on phylogeny of the whiteflies, more species-level data is required.
Integrative Analysis of ATAC-Seq and Whole-Transcriptome Sequencing in the Trilogy of Gastric Carcinogenesis: From Normal Mucosa to Precancerous Lesions and to Gastric Cancer
Authors: Chen Nianzhi , Liu Qingsong , Ma Xiao , Zhao Ziyi , Wang Jundong , Chen Yu , Zhao Maoyuan , Zheng Qiao , Zhang Gang , Xia Ting , Guo Yu , Yuan Yun , Lv Shangbin , Qi Yulin , Zeng Zhongzhen , Zeng Jinhao , Tang Jianyuan 
Published: September 2021

Abstract
Background:Many specific biomarkers and target genes of gastric cancer have been identified, but the research areas on the characterization of epigenetic and transcriptional landscape in the process of gastric carcinogenesis, known as the trilogy from normal mucosa to precancerous lesions and finally to gastric cancer, remains a black box.Results:We performed whole-transcriptome sequencing and ATAC-seq based on human gastric tumours (T), gastric precancerous lesions (P) and normal gastric mucosa (N) and obtained chromatin open regions, circRNAs, lncRNAs, miRNAs, and mRNAs. Subsequently, differential expression analysis was performed on the N, P, and T groups, followed by GO, KEGG, and PPI analyses to investigate cancer-related hub genes (e.g., VEGFA, FN1, CDK1, and MYC) and extracellular matrix related signalling pathways that might serve as potential therapeutic targets in precancerous lesions and early gastric cancer. A core competing endogenous RNA (ceRNA) network was then constructed that contained 17 mRNAs, 11 miRNAs, 11 lncRNAs and two circRNAs, and the RNAs were validated by TCGA database and RT-PCR to prove they play crucial roles in the trilogy of gastric carcinogenesis; notably, hsa-miR-1226-5p, hsa-miR-6720-5p, lncRNA H19, ARID3A and GPR161 were significantly enriched in the complex network, which might be specificity tumour markers. Finally, ROC curve analysis suggested that nine mRNAs and five lncRNAs may be novel biomarkers with clinical implications for the precise diagnosis of early gastric cancer. Survivorship curve analysis further identified four mRNAs and one lncRNA as potential prognostic indicators. Conclusions:These results reveal a panel of premalignant and malignant specific marker genes in the trilogy of gastric carcinogenesis, potentially aiding the early identification of precancerous lesions and early gastric cancer. Meanwhile, the present study identifies the key molecular targets in the dynamic process of gastric carcinogenesis for experimental research on drugs and molecular mechanisms.
Estimation of Larch Growth at the Stem, Crown and Branch Levels Using Ground-based LiDAR Point Cloud
Authors: Jin Shuangna , Zhang Wuming , Shao Jie , Wan Peng , Cheng Shun , Cai Shangshu , Yan Guangjian 
Published: September 2021

Abstract
BackgroundTree growth is an important indicator of forest health and can reflect changes in forest structure. Traditional tree growth estimates use easy-to-measure parameters (e.g., tree height, diameter at breast height (DBH), and crown diameter) obtained via forest in situ measurements, which are labor-intensive and time-consuming to perform and cannot easily describe the changes throughout the whole growth period of a tree. The combination of Terrestrial Laser Scanning (TLS) and Quantitative Structure Modelling (QSM) can accurately estimate tree structural parameters nondestructively and has the potential to estimate tree growth. Therefore, this paper estimates tree growth according to the stem-, crown-, and branch-level attributes observed by ground-based LiDAR point clouds. Compared with conventional methods, this paper used tree height, DBH, stem volume, crown diameter, crown volume and first-order branch volume to estimate the growth of 55-year-old larch trees in Saihanba at the stem, crown and branch levels, respectively. ResultsThe experimental results showed that the absolute growth of the first-order branch volume was equivalent to that of the stems, which highlights the importance of branches in the study of tree growth. For 55-year-old larch, tree growth is mainly reflected in the growth of the crown, i.e., the growth of branches. Compared to one-dimensional parameters (tree height, DBH and crown diameter), the growth of three-dimensional parameters (crown, stem and first-order branch volumes) was more obvious. ConclusionsFor 55-year-old larch, three-dimensional tree parameters can more effectively describe tree growth, and the absolute growth of the first-order branch volume is close to the stem volume. In addition, it is necessary to estimate tree growth at different levels.
Identification of a Lipid Metabolism-Associated Gene Signature Predicting Survival in Breast Cancer
Authors: Gong Mingkai , Liu Xiangping , Yang Wu , Song Hongming , Zhao Xian , Ai Xiancheng , Wang Shuo , Wang Haibo 
Published: September 2021

Abstract
Background: Cancer metabolism and specifically lipid metabolism play an important role in breast cancer (BC) progression and metastasis. However, the role of lipid metabolism-associated genes (LMGs) in the diagnosis of breast cancer remains unknown. Methods: The expression profiles and clinical follow-up information of BC were downloaded from The Cancer Genome Atlas (TCGA), and metabolic genes were downloaded from the Gene Set Enrichment Analysis (GSEA) dataset. Univariate cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses were performed on the differentially expressed metabolism-related genes. Then, the formula of the metabolism-related risk model was composed, and the risk score of each patient was calculated. The breast cancer patients were divided into high-risk and low-risk groups with a cutoff of the median expression value of the risk score, and the prognostic analysis was also used to analyze the survival time between these two groups. Finally, we analyzed the expression, interaction and correlation among the lipid metabolism-associated genes risk model.Results: The results from the prognostic analysis indicated that the survival was significantly poorer in the high-risk group than in the low-risk group in TCGA, single-sample gene set enrichment analysis (ssGSEA) shows it is plausible that lipid metabolism is highly correlated with tumor immunity.Conclusion: Lipid metabolism-associated genes may become a new prognostic indicator predicting the survival of BC patients. The prognostic genes (n=16) may help provide new strategies for tumor therapy.
An Integrated Model for Evaluation of Big Data Interactive Systems Under Uncertainty
Authors: Asemi Adeleh , Asemi Asefeh 
Published: September 2021

Abstract
The study aimed to propose a judgment-based evaluation model for usability evaluating of big data interactive system s. Human judgment is associated with uncertainty and gray information. We used the fuzzy technique for integration, summarization, and distance calculation of quality value judgment. The proposed model is an integrated fuzzy Multi Factors Evaluation (MFE) model based on experts’ judgments in HCI, ISPD, and AMLMs. We provided a Fuzzy Inference System (FIS) for scoring usability evaluation metrics in different big data interactive system s. A multi-model big data interactive system is implemented for experimental testing of the model. The achieved results from the proposed model and experimental tests are compared using statistical correlation tests. The results show the ability of the proposed model for usability evaluation of big data interactive systems without the need for conducting empirical tests. It is concluded that applying a dataset in a neuro-FIS and training system cause to produce more than a hundred effective rules. The findings indicate that the proposed model can be applied for big data interactive system evaluation, informative evaluation, and complex empirical tests. Future studies may improve the FIS with the integration of artificial neural networks.
The Lived Experiences of Family Members of a Sibling with Borderline Personality Disorder in South Africa: A Qualitative Study
Authors: Ntshingila Nompumelelo , Caluza Wendy , Poggenpoel Marie , Myburgh Chris PH 
Published: September 2021

Abstract
Background: Family members of people living with borderline personality disorder (BPD) experience a considerable objective and subjective burden. This article aims to report on a study that explored family members’ lived experiences of having a sibling with BPD in South Africa.Method: This qualitative study used in-depth phenomenological individual interviews, supported by participant observations and field notes for data collection. Data were analysed using Tesch’s thematic coding.Results: Seven participants were interviewed, and three themes emerged from the collected data. The study revealed that participants experienced multiple challenges in understanding, gaining control, and struggling to cope with their own lives. Participants also experienced the impact of a lack of communication and education. Lastly, the study revealed that the participants used individual coping mechanisms to cope with having a sibling with BPD.Conclusions: This research illuminated the challenges experienced by family members of a sibling with BPD. These findings provide a basis for recommendations for mental health nurses to promote the mental health of affected family members.
Serum Copeptin Level as a Predictor Marker of Pediatric Heart Failure Outcomes
Authors: Abdelaziz Alyaa Ahdy , Khattab Ahmed Anwer , Abdelmaksoud Mohammed Hossam , Ghazy Ramy Mohamed 
Published: September 2021

Abstract
Background: This study aimed to assess the role of copeptin as a diagnostic marker of heart failure (HF) and outcomes. Method: We randomly recruited 76 cardiac patients aged 1 month to 15 years and 65 control healthy children matched in age and sex. Based on plasma copeptin level, the study population were sub-grouped into quartiles (Q). Results: The mean age of cases and control was 40.52 ±34.35 months and 42.43 ±30.42 months respectively. Median copeptin level was higher among patients 16.80 (16.4) compared to control 8.00 (3.0), P<0.01. Copeptin level was not statistically significantly different in-between patients with different etiologies of HF, P =0.515. Total leukocytic count, platelets, serum sodium, inotropic score, and troponin were significantly correlated with copeptin quartile. Three-fourth of dead children were within the Q4, and 12.5 % were within the first one, P=0.214. Around 76.5% of patients who had multiorgan dysfunction were within the Q4 while 5.9% belonged to Q1, P=0.022. Of those who developed sepsis, 82.6% and 4.3% were located within Q4 and Q1, P<0.01. All patients who required mechanical ventilation were within Q4, P= 0.005. Conclusion: Plasma level of copeptin is elevated in pediatric HF regardless its etiology and can be used as a predictor of poor outcomes.
Systemic Treatment in Advanced Phyllodes Tumor of the Breast: A Multi-institutional European Retrospective Case-series Analyses
Authors: Palassini Elena , Mir Olivier , Grignani Giovanni , Vincenzi Bruno , Gelderblom Hanneke , Sebio Ana , Valverde Claudia , Baldi Giacomo Giulio , Brunello Antonella , Cardellino Giovanni Gerardo , Marrari Andrea , Badalamenti Giuseppe , Martin-Broto Javier , Ferraresi Virginia , Libertini Michela , Turano Salvatore , Gataa Ithar , Collini Paola , Tos Angelo Paolo Dei , Gennaro Massimiliano , Bini Federica , Provenzano Salvatore , Vullo Salvatore Lo , Mariani Luigi , Cesne Axel Le , Casali Paolo Giovanni 
Published: September 2021

Abstract
Background: We aimed at investigating outcome of systemic treatments in advanced breast PT. Methods: All cases of advanced breast PT treated with systemic treatments from 1999 to 2019, in one of the referral sarcoma centres involved in the study, were retrospectively reviewed. Results: 56 female patients were identified. Median age was 52 (range 25-76) years. Patients re-ceived a median number of 2 systemic treatments (range 1-4). Best responses according to RECIST were: 1 (3.7%) CR, 11 (40.7%) PR, 6 (22.2%) SD, 9 (33.3%) PD with anthracyclines plus ifosfamide (AI); 2 (16.7%) PR, 4 (33.3%) SD, 6 (50.0%) PD with anthracycline alone; 3 (18.8%) PR, 4 (25.0%) SD, 9 (56.3%) PD with high-dose ifosfamide given as a continuous infusion (HD-IFX); 3 (20.0%) SD, 12 (80.0%) PD with a gemcitabine-based regimen (with 2 patients not evaluable); 1 (8.3%) PR, 2 (16.7%) SD, 9 (75.0%) PD with trabectedin (with 1 patient not evaluable); 1 (16.7%) PR, 1 (16.7%) SD, 4 (66.7%) PD with tyrosine-kinase inhibitors (TKI). The median PFS were: 5.7 (IQR, 2.5-9.1) months with AI; 3.2 (IQR, 2.2-5.0) months with anthracycline alone; 3.4 (IQR, 1.4-6.7) months with HD-IFX; 2.1 (IQR, 1.4-5.2) months with gemcitabine-based chemotherapy; 1.8 (IQR, 0.7-6.6) months with trabectedin; 3.4 (IQR, 3.1-3.8) months with TKI. With a median follow-up of 35.3 (IQR, 17.6-66.9) months, OS from the start of first-line systemic treatment was 15.2 (IQR, 7.6-39.6) months. Conclusion: In this series of advanced PT (to our knowledge, the largest reported so far), AI was associated with a high rate of responses, however with a median PFS of 5.7 months. Other systemic treatments were poorly active.
An Approach of CA with M-RIPPER for Heart Disease Prediction
Authors: S Manimurugan , Almutairi Saad , Aborokbah Majed Mohammed , C Narmatha , Ganesan Subramaniam , AlzahebHani Riyadh A , Almoamari Hani 
Published: September 2021

Abstract
In the present world, mobile computing devices are popular and are identified in each aspect of life. This combination among computing and the present world is not restricted to the everyday life. The medical field was similarly concerned, where care is given in a wide scope of areas and conditions. The medical domain is continually being immersed with new kinds of innovations, including context-aware system and application. In this research, a context aware healthcare model based on IoT application is proposed. The smart medical devices are used to measure the data from the patients and store it in database. From the database, the patient’s information and medical records are considered as context aware data. For analyzing and classifying the data, the MRIPPER (Modified Repeated Incremental Pruning to Produce ErroR) algorithm is used. This algorithm is a rule-based machine learning algorithm. By using this algorithm, the rules are framed for the analysis of dataset for the prediction of heart disease. The performance analysis of the proposed model is experimented in MATLAB simulation tool. Further, the performance of the proposed model is compared with other existing models like J48, random forest, CART, OneR, and JRip algorithms. The proposed algorithm has achieved 98.89% accuracy, Precision is 96.76%, recall or sensitivity is 99.05%, specificity is 94.35%, and f-score is 97.60%. Overall, the proposed model has obtained 97.38% accuracy in predicting normal class and 97.93% in predicting abnormal class subjects.
Concomittant Liver Transplantation And Low Anterior Resection in Patient with Neuroendocrine Tumor and Chronic Hepatitis B Infection
Authors: Tuncer Adem , Öğüt Mehmet Zeki , Usta Sertac , Akbulut Sami , Sahin Tevfik Tolga , Yılmaz Sezai 
Published: September 2021

Abstract
Aim: The treatment of end-stage liver disease is liver transplantation. There are studies regarding liver transplantation in patients with colorectal cancer and neuroendocrine tumor liver metastasis indicating comparable results with patients who were transplanted for hepatocellular carcinoma. The aim of the present study is to present a case of a patient with Hepatitis B virus related chronic liver disease and rectal neuroendocrine tumor who underwent concomitant living donor liver transplantation and low anterior resection. Case report: The patients was a 62 years old male patient with hepatitis B virus related end-stage liver failure and a rectal neuroendocrine tumor determined during colonoscopy surveillance. Model for end stage liver disease score was 21 and had two episodes of life-threatening variceal bleeding. We performed living donor liver transplantation and low anterior resection to the patient. Currently patient is doing well 2 years after the operation. Conclusion: Our case is the first in literature showing concomitant liver transplantation for hepatitis B virus related liver failure and rectal resection for neuroendocrine tumor. These procedures can be performed synchronously provided that the etiology of liver failure is unrelated to neuroendocrine tumor and the primary tumor has favorable tumor biologic characteristics. We reviewed the English literature, we did not find any case who underwent rectal NET surgery and HBV-related liver transplantation in the same operation. We wanted to present this first case in the literature.