scholarly journals The Relationship Between Leukocytes Numbers and Consciousness Level of Craniotomy Patients at The Jemursari Islamic Hospital Surabaya in 2018-2019

2021 ◽  
Vol 3 (2) ◽  
pp. 81-89
Author(s):  
Ainul Rofik ◽  
Utami Ambarsari ◽  
Hafizh Auliyan Sodali ◽  
Misbakhul Munir
Keyword(s):  
Leukocyte Count ◽  
Future Research ◽  
Focal Lesion ◽  
Retrospective Case ◽  
Consciousness Level ◽  
Specific Effects ◽  
Spearman Correlation Test ◽  
Leukocyte Number ◽  
Gcs Score ◽  
High Level

This study investigates the correlation between leukocyte number and the patient's awareness level after craniotomy surgery, both high (leukocytosis) and low (leukopenia). Several studies reveal that an increase in leukocytes affects mortality rates due to the high level of leukocytes affecting our body's functionalities, including awareness. Previous studies revealed that a leukocyte count exceeding 17.5x106/L was associated with a lower GCS score, a longer hospital stay, and worsening CT scan results, regardless of the type of focal lesion that occurred. This study uses observational methods in the form of retrospective case studies. The data was collected from the medical records of the Operation room at Jemursari Islamic Hospital in 2018-2019 with a sample size of 89. The research was conducted at Jemursari Islamic Hospital Surabaya from May 2018 to August 2019. Data were analyzed using the Spearman correlation test with p <0.05. Results showed no significant relationship between the leukocyte count and the consciousness level of post-craniotomy patients. Future research could estimate the specific effects on the morphology of specific leukocyte cells that are elevated in post-craniotomy patients. This research is expected to provide insight into the effect of leukocytes on consciousness to reduce patient mortality after craniotomy.

scholarly journals Review: Psychological & Behavioural Treatments of Nonepileptic Seizures in Children and Adolescents

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S299-S299
Author(s):  
Hemma Velani ◽  
Julia Gledhill
Keyword(s):  
Young People ◽  
Children And Adolescents ◽  
Epileptic Seizures ◽  
Individual Therapy ◽  
Treatment Modalities ◽  
Future Research ◽  
Control Group ◽  
Physical And Mental Health ◽  
Retrospective Case ◽  
High Level

AimsTo systematically review Psychological and Behavioural treatments on NES in children and adolescents by reviewing the current literature.BackgroundNon-epileptic seizures (NES) are associated with a high level of functional impairment for young people and their families. However, there are no UK guidelines for the management of NES in children and adolescents or adults. Though information from the limited studies in adults may be useful, the findings may not be generalizable to children and adolescents. To date, we are unaware of any published systematic review on this topic in children and adolescents.MethodA systematic search of relevant electronic databases was conducted. Any study investigating the effectiveness of psychological and behavioural treatments on NES, in Children and Adolescents was included.ResultFifteen studies were identified, but only six studies had the primary aim of evaluating an intervention, and only one used a control group. The rest were observational studies that examined retrospective case notes.CBT and psychoeducation were identified as the most common interventions. Eleven out of the fifteen studies used multiple treatments, four looked at one treatment only, three of these CBT and one was a natural history study.Where individual therapy was provided, a common focus was management of anxiety, usually delivered in a flexible way, adapted to individual needs. Despite being identified as important in the literature, only one study demonstrated care that involved collaboration between physical and mental health teams.ConclusionIt's difficult to conclude from this review that one treatment approach is superior to another. The findings of this review offer some insight into current practise and may help to inform future research in this area. CBT and psychoeducation with a focus on anxiety are frequently included in interventions for NES in young people, and further evaluation of these treatment modalities could be a helpful next step.

Power of Modified Brown-Forsythe and Mixed-Model Approaches in Split-Plot Designs

Methodology ◽  
2017 ◽  
Vol 13 (1) ◽  
pp. 9-22 ◽  
Author(s):  
Pablo Livacic-Rojas ◽  
Guillermo Vallejo ◽  
Paula Fernández ◽  
Ellián Tuero-Herrero
Keyword(s):  
Repeated Measures ◽  
Statistical Power ◽  
Mixed Model ◽  
Covariance Structure ◽  
Simulation Method ◽  
Future Research ◽  
Repeated Measures Design ◽  
Fixed And Random Effects ◽  
Split Plot ◽  
High Level

Abstract. Low precision of the inferences of data analyzed with univariate or multivariate models of the Analysis of Variance (ANOVA) in repeated-measures design is associated to the absence of normality distribution of data, nonspherical covariance structures and free variation of the variance and covariance, the lack of knowledge of the error structure underlying the data, and the wrong choice of covariance structure from different selectors. In this study, levels of statistical power presented the Modified Brown Forsythe (MBF) and two procedures with the Mixed-Model Approaches (the Akaike’s Criterion, the Correctly Identified Model [CIM]) are compared. The data were analyzed using Monte Carlo simulation method with the statistical package SAS 9.2, a split-plot design, and considering six manipulated variables. The results show that the procedures exhibit high statistical power levels for within and interactional effects, and moderate and low levels for the between-groups effects under the different conditions analyzed. For the latter, only the Modified Brown Forsythe shows high level of power mainly for groups with 30 cases and Unstructured (UN) and Autoregressive Heterogeneity (ARH) matrices. For this reason, we recommend using this procedure since it exhibits higher levels of power for all effects and does not require a matrix type that underlies the structure of the data. Future research needs to be done in order to compare the power with corrected selectors using single-level and multilevel designs for fixed and random effects.

COVID-19 Outbreak Prediction with Machine Learning

2020 ◽  
Author(s):  
Sina Faizollahzadeh Ardabili ◽  
Amir Mosavi ◽  
Pedram Ghamisi ◽  
Filip Ferdinand ◽  
Annamaria R. Varkonyi-Koczy ◽  
...  
Keyword(s):  
Machine Learning ◽  
Prediction Models ◽  
Fuzzy Inference ◽  
Control Measures ◽  
Future Research ◽  
Complex Nature ◽  
Inference System ◽  
Wide Range ◽  
Standard Models ◽  
High Level

Several outbreak prediction models for COVID-19 are being used by officials around the world to make informed-decisions and enforce relevant control measures. Among the standard models for COVID-19 global pandemic prediction, simple epidemiological and statistical models have received more attention by authorities, and they are popular in the media. Due to a high level of uncertainty and lack of essential data, standard models have shown low accuracy for long-term prediction. Although the literature includes several attempts to address this issue, the essential generalization and robustness abilities of existing models needs to be improved. This paper presents a comparative analysis of machine learning and soft computing models to predict the COVID-19 outbreak as an alternative to SIR and SEIR models. Among a wide range of machine learning models investigated, two models showed promising results (i.e., multi-layered perceptron, MLP, and adaptive network-based fuzzy inference system, ANFIS). Based on the results reported here, and due to the highly complex nature of the COVID-19 outbreak and variation in its behavior from nation-to-nation, this study suggests machine learning as an effective tool to model the outbreak. This paper provides an initial benchmarking to demonstrate the potential of machine learning for future research. Paper further suggests that real novelty in outbreak prediction can be realized through integrating machine learning and SEIR models.

scholarly journals Opportunities and Challenges of Green-Lean: An Integrated System for Sustainable Construction

2020 ◽  
Vol 12 (11) ◽  
pp. 4460 ◽  
Author(s):  
Mohammadsoroush Tafazzoli ◽  
Ehsan Mousavi ◽  
Sharareh Kermanshachi
Keyword(s):  
Cost Savings ◽  
Integrated Approach ◽  
Integrated System ◽  
Waste Minimization ◽  
Sustainable Construction ◽  
Future Research ◽  
Safety Improvement ◽  
The Individual ◽  
High Level ◽  
Industry Professionals

Although the two concepts of lean and sustainable construction have been developed due to different incentives, and they do not pursue the same exact goals, there exists considerable commonality between them. This paper discusses the potentials for integrating the two approaches and their practices and how the resulting synergy from combining the two methods can potentially lead to higher levels of fulfilling the individual goals of each of them. Some limitations and challenges to implementing the integrated approach are also discussed. Based on a comprehensive review of existing papers related to sustainable and lean construction topics, the commonality between the two approaches is discussed and grouped in five categories of (1) cost savings, (2) waste minimization, (3) Jobsite safety improvement, (4) reduced energy consumption, and (5) customers’ satisfaction improvement. The challenges of this integration are similarly identified and discussed in the four main categories of (1) additional initial costs to the project, (2) difficulty of providing specialized expertise, (3) contractors’ unwillingness to adopt the additional requirements, and (4) challenges to establish a high level of teamwork. Industry professionals were then interviewed to rank the elements in each of the two categories of opportunities and challenges. The results of the study highlight how future research can pursue the development of a new Green-Lean approach by investing in the communalities and meeting the challenges of this integration.

scholarly journals Immune function during pregnancy varies between ecologically distinct populations

2020 ◽  
Vol 2020 (1) ◽  
pp. 114-128
Author(s):  
Carmen Hové ◽  
Benjamin C Trumble ◽  
Amy S Anderson ◽  
Jonathan Stieglitz ◽  
Hillard Kaplan ◽  
...  
Keyword(s):  
Leukocyte Count ◽  
Total Leukocyte Count ◽  
Future Research ◽  
Differential Leukocyte Count ◽  
Ecological Conditions ◽  
Trade Offs ◽  
The Usa ◽  
Immunological Changes ◽  
Fetal Antigens ◽  
Pathogen Exposure

Abstract Background and objectives Among placental mammals, females undergo immunological shifts during pregnancy to accommodate the fetus (i.e. fetal tolerance). Fetal tolerance has primarily been characterized within post-industrial populations experiencing evolutionarily novel conditions (e.g. reduced pathogen exposure), which may shape maternal response to fetal antigens. This study investigates how ecological conditions affect maternal immune status during pregnancy by comparing the direction and magnitude of immunological changes associated with each trimester among the Tsimane (a subsistence population subjected to high pathogen load) and women in the USA. Methodology Data from the Tsimane Health and Life History Project (N = 935) and the National Health and Nutrition Examination Survey (N = 1395) were used to estimate population-specific effects of trimester on differential leukocyte count and C-reactive protein (CRP), a marker of systemic inflammation. Results In both populations, pregnancy was associated with increased neutrophil prevalence, reduced lymphocyte and eosinophil count and elevated CRP. Compared to their US counterparts, pregnant Tsimane women exhibited elevated lymphocyte and eosinophil counts, fewer neutrophils and monocytes and lower CRP. Total leukocyte count remained high and unchanged among pregnant Tsimane women while pregnant US women exhibited substantially elevated counts, resulting in overlapping leukocyte prevalence among all third-trimester individuals. Conclusions and implications Our findings indicate that ecological conditions shape non-pregnant immune baselines and the magnitude of immunological shifts during pregnancy via developmental constraints and current trade-offs. Future research should investigate how such flexibility impacts maternal health and disease susceptibility, particularly the degree to which chronic pathogen exposure might dampen inflammatory response to fetal antigens. Lay Summary This study compares immunological changes associated with pregnancy between the Tsimane (an Amazonian subsistence population) and individuals in the USA. Results suggest that while pregnancy enhances non-specific defenses and dampens both antigen-specific immunity and parasite/allergy response, ecological conditions strongly influence immune baselines and the magnitude of shifts during gestation.

scholarly journals Time Granularity Impact on Propagation of Disruptions in a System-of-Systems Simulation of Infrastructure and Business Networks

2021 ◽  
Vol 18 (8) ◽  
pp. 3922
Author(s):  
Mateusz Iwo Dubaniowski ◽  
Hans Rudolf Heinimann
Keyword(s):  
Recovery Time ◽  
System Of Systems ◽  
Future Research ◽  
Business Networks ◽  
Simulation Experiments ◽  
Huge Impact ◽  
High Level ◽  
Systems Simulation ◽  
Different Characteristics ◽  
The Impact

A system-of-systems (SoS) approach is often used for simulating disruptions to business and infrastructure system networks allowing for integration of several models into one simulation. However, the integration is frequently challenging as each system is designed individually with different characteristics, such as time granularity. Understanding the impact of time granularity on propagation of disruptions between businesses and infrastructure systems and finding the appropriate granularity for the SoS simulation remain as major challenges. To tackle these, we explore how time granularity, recovery time, and disruption size affect the propagation of disruptions between constituent systems of an SoS simulation. To address this issue, we developed a high level architecture (HLA) simulation of three networks and performed a series of simulation experiments. Our results revealed that time granularity and especially recovery time have huge impact on propagation of disruptions. Consequently, we developed a model for selecting an appropriate time granularity for an SoS simulation based on expected recovery time. Our simulation experiments show that time granularity should be less than 1.13 of expected recovery time. We identified some areas for future research centered around extending the experimental factors space.

Probabilistic Rule Learning Systems

2021 ◽  
Vol 54 (4) ◽  
pp. 1-16
Author(s):  
Abdus Salam ◽  
Rolf Schwitter ◽  
Mehmet A. Orgun
Keyword(s):  
Probability Theory ◽  
Rule Learning ◽  
Background Knowledge ◽  
Learning Systems ◽  
Future Research ◽  
Research Directions ◽  
System Architectures ◽  
Probabilistic Rule ◽  
Future Research Directions ◽  
High Level

This survey provides an overview of rule learning systems that can learn the structure of probabilistic rules for uncertain domains. These systems are very useful in such domains because they can be trained with a small amount of positive and negative examples, use declarative representations of background knowledge, and combine efficient high-level reasoning with the probability theory. The output of these systems are probabilistic rules that are easy to understand by humans, since the conditions for consequences lead to predictions that become transparent and interpretable. This survey focuses on representational approaches and system architectures, and suggests future research directions.

Comparison of Frenotomy Techniques for the Treatment of Ankyloglossia in Children: A Systematic Review

2020 ◽  
Vol 163 (3) ◽  
pp. 428-443
Author(s):  
Usman Khan ◽  
Jake MacPherson ◽  
Michael Bezuhly ◽  
Paul Hong
Keyword(s):  
Rating Scale ◽  
Pediatric Population ◽  
Meta Analysis ◽  
Numeric Rating Scale ◽  
Assessment Tools ◽  
Future Research ◽  
Randomized Controlled ◽  
Comprehensive Search ◽  
High Level ◽  
Numeric Rating

Objective To compare the effectiveness of conventional (CF), laser (LF), and Z-plasty (ZF) frenotomies for the treatment of ankyloglossia in the pediatric population. Data Sources A comprehensive search of PUBMED, EMBASE, and COCHRANE databases was performed. Review Methods Relevant articles were independently assessed by 2 reviewers according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Results Thirty-five articles assessing CF (27 articles), LF (4 articles), ZF (3 articles), and/or rhomboid plasty frenotomy (1 article) were included. A high level of outcome heterogeneity prevented pooling of data. All 7 randomized controlled trials (RCTs) were of low quality. Both CF (5 articles with 589 patients) and LF (2 articles with 78 patients) were independently shown to reduce maternal nipple pain on a visual analog or numeric rating scale. There were reports of improvement with breastfeeding outcomes as assessed on validated assessment tools for 88% (7/8) of CF articles (588 patients) and 2 LF articles (78 patients). ZF improved breastfeeding outcomes on subjective maternal reports (1 article with 18 infants) only. One RCT with a high risk of bias concluded greater speech articulation improvements with ZF compared to CF. Only minor adverse events were reported for all frenotomy techniques. Conclusions Current literature does not demonstrate a clear advantage for one frenotomy technique when managing children with ankyloglossia. Recommendations for future research are provided to overcome the methodological shortcomings in the literature. We conclude that all frenotomy techniques are safe and effective for treating symptomatic ankyloglossia.

Co-dependency in mothers of addicted persons: Data from Bulgaria

2016 ◽  
Vol 33 (S1) ◽  
pp. S623-S623
Author(s):  
D. Ivanova ◽  
V. Giannouli
Keyword(s):  
State Anxiety ◽  
Depression Scale ◽  
Poor Mental Health ◽  
Anxiety And Depression ◽  
Future Research ◽  
High School Degree ◽  
Helping Relationship ◽  
Competing Interest ◽  
High Level ◽  
University Degree

IntroductionCo-dependent relationships are characterized as a type of dysfunctional helping relationship in which there is an excessive reliance on other people for approval and identity. This is very common for female relatives who support/enable another person's addiction, poor mental health, immaturity, and/or irresponsibility.ObjectiveThe aim of the present study is to reveal the co-dependence profile of mothers of addicted persons in Bulgaria.MethodFour hundred Bulgarian women coming from Blagoevgrad, Sofia and Stara Zagora (Mage = 53.55, SDage = 5.58; level of education: 71% with high school degree, 29%with university degree; all mothers of addicted persons) were examined at the Municipal Council on Drug Addiction Blagoevgrad with the STAI-state questionnaire, the ZUNG Self Rating Depression Scale and the Questionnaire of Establishment of Codependency.ResultsResults indicated that in a scale of scores ranging from 2 = minimum to 4 = maximum of co-dependence, this group of women had high self-reported levels of co-dependence (M = 3.6375, SD = .52610), a high depressive profile (M = 49.07, SD = 3.23, and high state anxiety (M = 66.60, SD = 5.58).ConclusionsThe present research suggests that mothers of dependent individuals in Bulgaria show a high level of co-dependency, anxiety and depression. Future research should clarify the reasons of this overall negative emotional profile.Disclosure of interestThe authors have not supplied their declaration of competing interest.

The Impact of the Privacy Rule on Cancer Research: Variations in Attitudes and Application of Regulatory Standards

2009 ◽  
Vol 27 (24) ◽  
pp. 4014-4020 ◽  
Author(s):  
Elizabeth Goss ◽  
Michael P. Link ◽  
Suanna S. Bruinooge ◽  
Theodore S. Lawrence ◽  
Joel E. Tepper ◽  
...  
Keyword(s):  
Cancer Research ◽  
Future Research ◽  
Research Committee ◽  
Data Repositories ◽  
Privacy Rule ◽  
Regulatory Standards ◽  
American Society ◽  
Definition Of ◽  
High Level ◽  
The Impact

Purpose The American Society of Clinical Oncology (ASCO) Cancer Research Committee designed a qualitative research project to assess the attitudes of cancer researchers and compliance officials regarding compliance with the US Privacy Rule and to identify potential strategies for eliminating perceived or real barriers to achieving compliance. Methods A team of three interviewers asked 27 individuals (13 investigators and 14 compliance officials) from 13 institutions to describe the anticipated approach of their institutions to Privacy Rule compliance in three hypothetical research studies. Results The interviews revealed that although researchers and compliance officials share the view that patients' cancer diagnoses should enjoy a high level of privacy protection, there are significant tensions between the two groups related to the proper standards for compliance necessary to protect patients. The disagreements are seen most clearly with regard to the appropriate definition of a “future research use” of protected health information in biospecimen and data repositories and the standards for a waiver of authorization for disclosure and use of such data. Conclusion ASCO believes that disagreements related to compliance and the resulting delays in certain projects and abandonment of others might be eased by additional institutional training programs and consultation on Privacy Rule issues during study design. ASCO also proposes the development of best practices documents to guide 1) creation of data repositories, 2) disclosure and use of data from such repositories, and 3) the design of survivorship and genetics studies.

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