bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of three methods for calculation of sacroiliac joint index in different age groups in bone scintigraphy
Authors: Salmanoglu Ebru 
Published: January 2020

Abstract
BackgroundIt was aimed to compare three methods for calculation of sacroiliac joint (SIJ) index in different age groups. Cases undergone Tc-99m MDP bone scintigraphy and images were evaluated. Cases don’t have pathologic uptake were performed posterior pelvic images for calculation of SIJ index.Normal cases (n:160) were included.Cases were separated into four age groups, group 1(3-20 years), group 2(21-40 years), group 3(41-60 years), group 4(61 years and older). For the first method,irregular region of interest (ROI) was selected,for the second method rectangular ROI was selected.For the third method, profile peak counts were used. Count of each SIJ was divided count of sacrum to calculate right, left and mean SIJ indices.ResultsThere was no statistically significant difference between mean values of right and left SIJ index for three methods(p>0.05).Means of female were lower than male for right, left and and mean SIJ indices.Lowest mean values of right SIJ index, left SIJ index and mean SIJ index were found in ≥61 age group in both genders.All of three methods were significantly different from each other according to four age groups(p<0.05). First method had quite lower mean value than second and third methods for right SIJ index.A negative statistically significant correlation was found between age and SIJ index for all of three methods(p<0.01). Statistically significant difference was found between three methods for each age gropus based on mean SIJ index(p<0.05).ConclusionsEach nuclear medicine center should establish their own threshold value according to their own data set in normal cases and patients.
Oncology and functional prognosis are both vital in the surgical treatment of RGCTs around the knee joint
Authors: Liu Qing , He Hongbo , Hao Zeng , Liu Yupeng , Zhang Can , Luo Wei 
Published: January 2020

Abstract
Aims To explore and provide reasonable surgical options for recurrent giant cell tumors of bone (RGCTs) around the knee joint and compare the pros and cons of extended curettage (EC) and segmental resection (SR). Materials and Methods A retrospective analysis was performed of 22 patients (11 male, 11 female; mean age, 34.1 years) with RGCT around the knee joint treated in our hospital between June 2007 and June 2017. Average recurrence time was 14.2 ± 4.7 months. Basic clinical data, including Campanacci grade, lesion location, filler materials, pathological fracture, were recorded. Based on different reoperation methods, patients were divided into the EC and SR groups. Patients were regularly followed up; and recurrence, metastasis, local complications such as osteoarthritis, infection, prosthesis loosening, were recorded. Patient function and surgical efficacy were evaluated using the musculoskeletal tumor society (MSTS) score and Mankin score, respectively. Results Postoperative recurrence occurred in one patient in both groups, and no difference in the prognosis of oncology was observed between the groups. In the EC group, seven patients developed postoperative complications, but required no surgical treatment, whereas in the SR group, five patients developed postoperative complications and surgical treatment was performed on two patients. There were significant differences in the functional prognosis and surgical efficacy between the two groups; however, the EC group showed more satisfactory results. Conclusion The oncological and functional prognosis of patients with RGCT around the knee joint is vital. EC should be considered as the first-line treatment, unless the tumors severely invade the surrounding soft tissues or are accompanied by complex fractures with significant displacement leading to no surgical curettage boundary.
miR-132 is up-regulated in polycystic ovarian syndrome and inhibits granulosa cells proliferation via targeting Foxa1
Authors: Cui Xiangrong , Jing Xuan , Liu Junfen , Yan Meiqin , Bi Xingyu , Wu Xueqing 
Published: January 2020

Abstract
Background: Polycystic ovary syndrome (PCOS) is one of the most common endocrine metabolic disorders characterized by hyperandrogenism, polycystic ovaries and ovulatory dysfunction. Several studies have suggested that the aberrant expression of miRNAs serves an important role in the pathogenesis of PCOS, though the role and underling mechanism of microRNA-132 (miR-132) in the development of PCOS remain unclear. Methods: The expression of miR-132 in granulosa cells (GCs) derived from 26 PCOS patients and 30 healthy controls was detected through RT-qPCR. And the apoptosis levels of granulosa cells were measured by TUNEL.Granulosa-like tumor cell line (KGN) was cultured for cell counting kit-8 (CCK-8) was assays after over-expression of miR-132 or knockdown TargetScan was applied to analysis the potential targets of miR-132, which was further verified by luciferase assay, RT-qPCR and western blot. Results: The expression of miR-132 was declined in granulosa cells of PCOS patients. Meanwhile, the significantly increased apoptotic nuclei were present GCs of PCOS patients. Furthermore, over-expressed of miR-132 inhibited the proliferation of KCN cells. In addition, our results verified that miR-132 directly targeted Foxa1, knockdown of which suppressed KGN cells proliferation. Conclusion: Our results revealed that miR-132 inhibits the cell viability and induces apoptosis by directly interacting with Foxa1, indicating a role of miR-132 to be a potential target in the PCOS patients.
Sentiment Analysis of Online Product Reviews Using DLMNN and Future Prediction of Online Product Using IANFIS
Authors: p Sasikala , Sheela Mary Immaculate 
Published: January 2020

Abstract
Sentiment analysis or opinion mining is one of the major tasks of NLP (Natural Language Processing). It captures the user’s opinion, feelings, and belief regarding the respective product especially to determine whether the user’s attitude is positive, negative, or neutral. This analysis greatly helps the companies to make necessary changes in their product which in return can overcome the flaws that the product is facing and targets better customer satisfaction. Existing techniques for the sentiment analysis of online product reviews obtained low accuracy and also took more time for training. To overcome such issues in this paper, a DLMNN is proposed for sentiment analysis of online product review and IANFIS is proposed for future prediction of online product. Here, the sentiment analysis and future predictions are done on the products taken from the food review dataset. First, from the dataset, the data values are partitioned into GB, CB, and CLB scenarios and then the review analysis for each scenario is performed separately using DLMNN and they give the result as positive, negative, and neutral reviews for the product. After the process of review classification based on these three scenarios, the future prediction of the products is done by performing weighting factor and classification using IANFIS. Experimental results are compared with some existing techniques and the results show that the proposed method outperforms other existing algorithms.
Incidence and predictors of mortality among children admitted to the pediatric intensive care unit at the University of Gondar comprehensive specialized hospital, northwest Ethiopia: A prospective observational cohort study
Authors: Teshager Nahom Worku , Amare Ashenafi Tazebew , Tamirat koku 
Published: January 2020

Abstract
Background Pediatric intensive care unit (PICU) tremendously improves the success of saving patients having potentially life-threatening illness. An accurate estimate of lives saved through pediatric critical care intervention is important to evaluate the quality of the health care system. Data on pediatric critical care in developing countries remain scarce yet is much needed to improve clinical practices and outcomes. This study aimed to determine the incidence and predictors of mortality in the pediatric intensive care unit in the study setting.Method An institution based prospective cohort study was conducted from February 2018 to July 2019. We collected data by interview, chart and registration book review. Life table was used to estimate the cumulative survival of patients and Log rank test was used to compare survival curves between different categories of the explanatory variables. Survival trend over the follow up time was described using the Kaplan Meier graph. Bivariate and multivariate Cox proportional hazard model were used to identify predictors.Result Based on the 10 th version of international classifications of disease (ICD) of WHO, neurologic disorders (22.7%) infectious disease (18.8%) and environmental hazards (11.8%) account for the top three diagnoses. The median observation time was 3 days with IQR of 1 to 6 days. Of the total of 313 participants, 102 (32.6%) died during the follow-up time. This gives the incidence of mortality of 6.9 deaths per 100 person day observation. Caregivers’ occupation of government-employed (AHR=0.35, 95%CI: 0.14, 0.89), weekend admission (AHR=1.63, 95%CI: 1.02, 2.62), critical illness (AHR=1.79, 95%CI: 1.13, 2.85) Mechanical ventilation AHR=2.36,95%CI: 1.39, 4.01)and PIM2 score (AHR=1.53, 95%CI: 1.36, 1.72) were predictors of mortality in the pediatric ICU.Conclusion Neurologic disorder was the leading causes of admission followed by infectious diseases, and environmental hazards. Rate of mortality was high and admission over weekends, caregivers' occupation, mechanical ventilation, critical illness diagnosis, and higher PIM2 scores were found to be significant and independent predictors of mortality at the PICU. This suggests that ICU medical equipment, diagnostics, and interventions should be available up to the standard. Intensivist and full staffing around the clock has to be available in the PICU.
Clinical course after identification of new-onset atrial fibrillation in critically ill patients: a multicenter prospective cohort study
Authors: Yoshida Takuo , Uchino Shigehiko , Sasabuchi Yusuke 
Published: January 2020

Abstract
BackgroundNew-onset atrial fibrillation (AF) in critically ill patients is reportedly associated with poor outcomes. However, epidemiological data in intensive care units (ICUs) after new-onset AF identification are lacking. This study aimed to describe the clinical course after the identification of new-onset atrial fibrillation.Methods This prospective cohort study of 32 ICUs in Japan during 2017-2018 enrolled adult patients with new-onset AF. We collected data on patient comorbidities, physiological information before and at the AF onset, interventions, transition of cardiac rhythms, adverse events, and in-hospital death and stroke.Results The incidence of new-onset AF in the ICU was 2.9% (423 patients). At the AF onset, the mean atrial pressure decreased, and the heart rate increased. Sinus rhythm returned spontaneously in 84 patients (20%), and 328 patients (78%) were treated with pharmacological interventions (rate-control drugs, 67%; rhythm-control drugs, 34%). In total, 173 (40%) patients were treated with anticoagulants. Adverse events were more frequent in nonsurvivors than in survivors (bleeding: 14% vs 5%; p = 0.002, arrythmia other than AF: 6% vs 2%; p = 0.048). There were 92 (22%) and 15 patients (4%) patients who continued to have AF at 48 hours and 168 hours after onset, respectively. The hospital mortality rate of those patients were 32% and 60%, respectively. The overall hospital mortality was 26%, and the incidence of in-hospital stroke was 4.5%.Conclusions Although the proportion of patients continued to have AF within 168 hours decreased with various treatments, these patients were at a high risk of death. Moreover, adverse events occurred more frequently in nonsurvivors than in survivors. Further research to assess the management of new-onset AF in critically ill patients is strongly warranted.
Effect of Diabetes Mellitus on Survival in Patients with Gallbladder Cancer: A Systematic Review and Meta-analysis
Authors: Jing Chen , Wang Zhengyi , Fu Xue 
Published: January 2020

Abstract
Background Increasing evidences indicate that diabetes may increase the incidence of gallbladder cancer. However, no sufficient data clarify the effect of diabetes on survival in patients with gallbladder cancer.Methods We comprehensively search PubMed, Embase, and the Cochrane Library databases through July 2019 in order to find sufficient eligible researches. The pooled hazard risks (HRs) and relative risks (RRs) with 95% confidence intervals (CIs) were calculated with either fix-effects or random-effects model.Results Ten eligible studies were included in this meta-analysis. Analysis of eight cohorts found that diabetes was closely associated with the mortality of gallbladder cancer (HR=1.10; 95% CI: 1.06-1.14; P<0.00001). However, no significant differences were found between male and female diabetes patients (RR=1.08, 95%CI=0.57-2.04, P=0.80).Conclusions These findings indicate that diabetes patients have a higher mortality of gallbladder cancer compared with non-diabetes and general population.
Association of glial and neuronal degeneration markers with Alzheimer‘s disease cerebrospinal fluid profile and cognitive functions
Authors: Teitsdottir Unnur D. , Jonsdottir Maria K. , Lund Sigrun H. , Darreh-Shori Taher , Snaedal Jon , Petersen Petur H. 
Published: January 2020

Abstract
Background Neuroinflammation has gained increasing attention as a potential contributing factor in the onset and progression of Alzheimer‘s disease (AD). The objective of this study was to examine the association of selected cerebrospinal fluid (CSF) inflammatory and neuronal degeneration markers with signature CSF AD profile and cognitive functions among subjects at the symptomatic pre- and early dementia stages.Methods In this cross-sectional study, 52 subjects were selected from an Icelandic memory clinic cohort. Subjects were classified as having CSF AD (n=28, age=67, 33% female, Mini-mental state examination [MMSE]=28) or non-AD (n=24, age=70, 39% female, MMSE=27) profile based on the ratio between CSF total-tau (T-tau) and amyloid-β 1‐42 (Aβ 42 ) values (cut-off point chosen as 0.52). Novel CSF biomarkers included Neurofilament light (NFL), YKL-40, S100 calcium-binding protein B (S100B) and Glial fibrillary acidic protein (GFAP), measured with enzyme-linked immunosorbent assay (ELISA). Subjects underwent a neuropsychological assessment for evaluation of different cognitive domains including verbal episodic memory, non-verbal memory, language, processing speed and executive functions.Results Accuracy for distinguishing between the two CSF profiles was calculated for each CSF marker and cognitive domain. Verbal episodic memory performed the best overall (Area under curve [AUC]=0.80), with AUCs for CSF markers ranging from 0.61 to 0.64. For estimation of the relationships between CSF markers and cognitive domains (adjusted for age and education), Pearson‘s correlation and ridge regression analyses were performed. The ratio between NFL and YKL-40 levels correlated higher with verbal episodic memory score (r=-0.51, p <0.001) compared to single protein levels (NFL: r=-0.26, p =0.06; YKL-40: r=0.18, p =0.20). The correlation was also higher among those with CSF AD profile (r=-0.67, p <0.001) compared to those without (r=-0.46, p =0.03). GFAP levels showed weak correlation with executive functions scores (r=-0.37, p =0.007). Among those with a CSF AD profile, both S100B (r=-0.45, p =0.02) and GFAP (0.68, p <0.001) levels correlated with processing speed scores.ConclusionsThe novel CSF markers NFL, YKL-40 and GFAP show potential as markers for cognitive decline among individuals with core AD pathology at the symptomatic pre- and early stages of dementia.
Insect Repellents Mediate Species-Specific Olfactory Behaviors in Mosquitoes
Authors: Afify Ali , Potter Christopher John 
Published: January 2020

Abstract
Background: The species-specific mode of action for DEET and many other mosquito repellents is often unclear. Confusion may arise for many reasons. First, the response of a single mosquito species is often used to represent all mosquito species. Second, behavioral studies usually test the effect of repellents on mosquito attraction towards human odorants, rather than their direct repulsive effect on mosquitoes. Third, the mosquito sensory neuron responses towards repellents are often not directly examined.Methods: Here, we used a close proximity response assay to test the direct repulsive effect of six mosquito repellents on Anopheles coluzzii, Aedes aegypti, and Culex quinquefasciatus mosquitoes. Additionally, we used this behavioral assay and calcium imaging recordings of antennae to test the response of An. coluzzii mosquitoes towards two human odorants (1-octen-3-ol and benzaldehyde) at different concentrations, and mixtures of the repellents lemongrass oil and p-menthane-3,8-diol (PMD) with DEET.Results: We found that An. coluzzii mosquitoes were repelled by lemongrass oil and PMD, while Ae. aegypti and Cx. Quinquefasciatus mosquitoes were repelled by lemongrass oil, PMD, eugenol, and DEET. In addition, we found that high concentrations of 1-octen-3-ol and benzaldehyde were repellent, and activated more olfactory receptor neurons on the An. coluzzii antenna than lower concentrations. Finally, we found that changes in olfactory responses to repellent mixtures reflected changes in repulsive behaviors.Conclusions: Our findings suggest that different species of mosquitoes have different behavioral responses to repellents. We further suggest that high-odor concentrations may recruit repellent-sensing neurons, or generally excite many olfactory neurons, yielding repellent behavioral responses. Finally, we show that DEET can decrease the neuronal and behavioral response of An. coluzzii mosquitoes towards PMD but not towards lemongrass oil. Overall, these studies can help inform mosquito repellent choice by species, guide decisions on effective repellent blends, and could ultimately identify the olfactory neurons and receptors in mosquitoes that mediate repellency.
Antimalarial activity of traditional Kampo medicine Coptis Rhizome extract and its major active compounds
Authors: Teklemichael Awet Alem , Mizukami Shusaku , Toume Kazufumi , Mosaddeque Farhana , Kamel Mohamed Gomaa , Kaneko Osamu , Komatsu Katsuko , Karbwang Juntra , Huy Nguyen Tien , Hirayama Kenji 
Published: January 2020

Abstract
Background: The herbal medicine has been an attractive source of new antimalarial drugs exemplified by quinine and artemisinin, thus we examined a variety of Japanese traditional herbal medicine (Kampo) for their potential antimalarial activities.Methods: We designed a comprehensive screening to identify novel antimalarial drugs from a library of Kampo crude drug extracts (n = 120). The antimalarial activity was initially evaluated in vitro against chloroquine/mefloquine-sensitive (3D7) and -resistant (Dd2) strains of Plasmodium falciparum. The cytotoxicity was also evaluated using primary Adult Mouse Brain cells. Subsequently, major active components of Kampo crude drug extracts showing high antimalarial activities and low cytotoxicity were further evaluated. Finally, the in vivo antimalarial activities of promising Kampo crude drug extract was investigated using P. yoelii infected mouse model in a seven-day suppressive test (treatment start two hours after challenge infection and continue for seven days).Results: Out of 120 extracts, Coptis Rhizome showed the highest antimalarial activity (IC50 1.9 µg/mL of 3D7 and 4.85 µg/mL of Dd2) with a high selectivity index (SI) > 263 (3D7) and > 103 (Dd2). Three major components in Coptis Rhizome also showed antimalarial activities with IC50 ranging from 1.1 to 6.0 µM (against 3D7) and from 3.1 to 11.8 µM (against Dd2). Among them, coptisine chloride exhibited the highest antimalarial activity (IC50 1.1 µM against 3D7 and 3.1 µM against Dd2) with SI of 37.8 and 13.2, respectively. Furthermore, Coptis Rhizome exhibited significant antimalarial activity in mice infected with P. yoelii 17X strain with respect to its activity on parasite suppression consistently throughout the entire test period (P < 0.05).Conclusion: Coptis Rhizome showed a significant in vivo antimalarial activity in mice infected with P. Yoelii, thus it is a potential natural resource for antimalarials and its component coptisine chloride is a promising antimalarial lead compound.
Thermal effects of monopolar electrosurgery detected by real-time infrared thermography: an experimental appendectomy study
Authors: Nechay Taras , Titkova Svetlana M. , Anurov Mikhail V. , Mikhalchik Elena V. , Melnikov-Makarchyk Kirill Y. , Ivanova Ekaterina A. , Tyagunov Alexander E. , Fingerhut Abe , Sazhin Alexander V. 
Published: January 2020

Abstract
Purposes. Monopolar energy (ME) is routinely used in appendectomy. This study aimed to investigate the degree of lateral thermal spread generated by ME and to evaluate the thermal injury sustained by the close-lying tissues.
Materials and methods. Appendectomy with a monopolar Maryland dissector was performed in 8 rabbits (at 30 and 60 W power settings). A high-resolution infrared camera was used to record tissue heating during the intervention. After autopsy macroscopic changes were evaluated and tissue samples were subjected to myeloperoxidase (MPO) assay and histological examination.
Results. No significant differences in the extent of thermal spread, MPO activity and histological signs of inflammation were observed between groups. Regardless of the power settings, the heat spread exceeded 2 cm laterally along the mesoappendix when application time exceeded 3 s. The spread of heat through tubular structures in both groups caused a significant temperature rise in the nearby intestinal loop, resulting in perforation (n=3) and necrosis (n=1).
Conclusions. Application time is critical in thermal spread during appendectomy aided by ME. Tubular anatomic structures can enhance thermal injury on distant tissues. The observed effects of ME bear clinical relevance that need further investigation.