Comparison of Wearable and Non-wearable Technologies on Global CO2 Levels

Author(s):  
Alexandra Mayenberger ◽  
Britta Schulz

Many leading analysts would agree that, had it not been for kernels, the refinement of su- perblocks might have never occurred. Given the current status of “fuzzy” symmetries, theorists daringly desire the analysis of e-business. Our focus in this paper is on whether robots and their entanglement with human nature, seen in bionic creatures or similar, can be a decisive influence on the global CO2 levels due to their replacement of non-robotic wearables such as clothes. We therefore explored a novel system for the refinement of SCSI disks (robotic wearables). Aims: To compare and calculate the influence of non-robotic and robotic wearable technology and its influence on global CO2 levels. Study Design: Comparative Study. Place and duration of Study: Institute for Applied Basic Industrial Research IFABIR, between March 2018 and April 2018. Methodology: We included 40 participants (38 men, 2 women; age range 18-20 years) with wearable technology incorporated or on their body, with the target group representing the use of these technologies in reality. Personal observations by participants led to statistical analysis about their validity and were, if granted, further analyzed and calculated by us and compared to existing numbers. Results: The climactic analysis of the first two experiments showed aligning results with g(n) = n. Furthermore, simulating red-black trees rather than emulating them in software produced less discretized, more reproducible results. Similarly, these energy observations contrast to those seen in earlier work. Conclusion: Our paper clearly showed that non-invasive, robotic wearables can have a positive influence on global CO2 levels, if they stand in alliance with global geographical trends and vegetation.

2016 ◽  
Vol 4 (2) ◽  
Author(s):  
Imam Wibowo, M.Si ◽  
Rusma Patriansyah

The purpose of this research is to know the information about relationship between independent variables which are training (X1) and motivation (X2) with dependent variable which is employee performance (Y) of PT. Bakrie Pipe Industries Bekasi, both simultaneously and partially. Data collected from 78 employee of PT. Bakrie Pipe Industries Operating Division randomly using Slovin formula. Then all data was analyzed by using regression and statistical analysis using F-statistic to know the influence of independent variable simultaneously and t-statistic to know the influence of independent variable partially with using SPSS Ver. 22 software. The results of this research shown that: 1). Simultaneously, training and motivation have positive influence and significant to employee performance of PT. Bakrie Pipe Industries Bekasi. 2). Partially, training has positive influence and significant to employee performance of PT. Bakrie Pipe Industries Bekasi. 3). Partially, motivation has positive influence and significant to employee performance of PT. Bakrie Pipe Industries Bekasi.


Pharmaceutics ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1038
Author(s):  
Sonia Trombino ◽  
Federica Curcio ◽  
Roberta Cassano ◽  
Manuela Curcio ◽  
Giuseppe Cirillo ◽  
...  

Cardiac regeneration aims to reconstruct the heart contractile mass, preventing the organ from a progressive functional deterioration, by delivering pro-regenerative cells, drugs, or growth factors to the site of injury. In recent years, scientific research focused the attention on tissue engineering for the regeneration of cardiac infarct tissue, and biomaterials able to anatomically and physiologically adapt to the heart muscle have been proposed as valuable tools for this purpose, providing the cells with the stimuli necessary to initiate a complete regenerative process. An ideal biomaterial for cardiac tissue regeneration should have a positive influence on the biomechanical, biochemical, and biological properties of tissues and cells; perfectly reflect the morphology and functionality of the native myocardium; and be mechanically stable, with a suitable thickness. Among others, engineered hydrogels, three-dimensional polymeric systems made from synthetic and natural biomaterials, have attracted much interest for cardiac post-infarction therapy. In addition, biocompatible nanosystems, and polymeric nanoparticles in particular, have been explored in preclinical studies as drug delivery and tissue engineering platforms for the treatment of cardiovascular diseases. This review focused on the most employed natural and synthetic biomaterials in cardiac regeneration, paying particular attention to the contribution of Italian research groups in this field, the fabrication techniques, and the current status of the clinical trials.


Author(s):  
Yan Li ◽  
Yuanyuan Zheng ◽  
Liwei Wu ◽  
Jingjing Li ◽  
Jie Ji ◽  
...  

AbstractThe conventional method used to obtain a tumor biopsy for hepatocellular carcinoma (HCC) is invasive and does not evaluate dynamic cancer progression or assess tumor heterogeneity. It is thus imperative to create a novel non-invasive diagnostic technique for improvement in cancer screening, diagnosis, treatment selection, response assessment, and predicting prognosis for HCC. Circulating tumor DNA (ctDNA) is a non-invasive liquid biopsy method that reveals cancer-specific genetic and epigenetic aberrations. Owing to the development of technology in next-generation sequencing and PCR-based assays, the detection and quantification of ctDNA have greatly improved. In this publication, we provide an overview of current technologies used to detect ctDNA, the ctDNA markers utilized, and recent advances regarding the multiple clinical applications in the field of precision medicine for HCC.


Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 742
Author(s):  
Rima Hajjo ◽  
Dima A. Sabbah ◽  
Sanaa K. Bardaweel ◽  
Alexander Tropsha

The identification of reliable and non-invasive oncology biomarkers remains a main priority in healthcare. There are only a few biomarkers that have been approved as diagnostic for cancer. The most frequently used cancer biomarkers are derived from either biological materials or imaging data. Most cancer biomarkers suffer from a lack of high specificity. However, the latest advancements in machine learning (ML) and artificial intelligence (AI) have enabled the identification of highly predictive, disease-specific biomarkers. Such biomarkers can be used to diagnose cancer patients, to predict cancer prognosis, or even to predict treatment efficacy. Herein, we provide a summary of the current status of developing and applying Magnetic resonance imaging (MRI) biomarkers in cancer care. We focus on all aspects of MRI biomarkers, starting from MRI data collection, preprocessing and machine learning methods, and ending with summarizing the types of existing biomarkers and their clinical applications in different cancer types.


1994 ◽  
Vol 9 (2) ◽  
pp. 105-109
Author(s):  
G Mecheri ◽  
Y Bissuel ◽  
J Dalery ◽  
JL Terra ◽  
G Balvay ◽  
...  

SummaryIn vivo NMR 31p spectroscopy is a non invasive, non ionizing method of exploration of energy and phospholipid metabolism in the brain. This study consisted of comparing 31p spectra in five patients with Senile Dementia of Alzheimer Type (SDAT) with those of four controls of similar ages. Abnormal phosphonionocsters (PME) concentrations, either high or low, were found in the patients, but statistical analysis did not elicit any significant difference relative to controls.


2018 ◽  
Vol 40 (29) ◽  
pp. 2444-2454 ◽  
Author(s):  
Philip D Adamson ◽  
David E Newby

Abstract Non-invasive imaging of the coronary arteries is an enterprise in rapid development. From the research perspective, there is great demand for in vivo techniques that can reliably identify features of high-risk plaque that may offer insight into pathophysiological processes and act as surrogate indicators of response to therapeutic intervention. Meanwhile, there is clear clinical need for greater accuracy in diagnosis and prognostic stratification. Fortunately, ongoing technological improvements and emerging data from randomized clinical trials are helping make these elusive goals a reality. This review provides an update on the current status of non-invasive coronary imaging with computed tomography, magnetic resonance, and positron emission tomography with a focus on current clinical applications and future research directions.


2019 ◽  
Vol 6 (10) ◽  
pp. 3521
Author(s):  
Ahmed M. Umar ◽  
Uzodimma E. Onwuasoanya ◽  
Emmanuel U. Oyibo ◽  
Adamu Dahiru ◽  
Ismaila A. Mungadi

Background: Urine cytology is a simple, safe, non-invasive and cheap investigation that is used as adjunct to cystoscopy in the diagnosis of bladder cancer. Its low sensitivity is a major limitation against its use as a sole diagnostic test for bladder cancer. The objective of this study was to determine the pattern of urine cytology seen in patients with clinical diagnosis of bladder tumour in our practice.Methods: This is a retrospective study of patients with clinical diagnosis of bladder tumour that had urine cytology in our centre. The age and gender of the patients, number of urine cytology per patient per year and cytologic diagnosis were analysed using the SPSS 20.Results: During the period under review, a total of 512 urine cytology was done for patients with clinical diagnosis of bladder tumour. The age range of the patients was 6 to 90 years with modal age of 60 years. 457 (89.3%) were males while 54 (10.5%) were females and 1 (0.2%) was unspecified. Male to female ratio was 8.5:1. The highest number of urine cytology was done in 2013 with 64 (12.5%) while the least number was 1 (0.2%) recorded in 2001 and 2003. Only 68 (13.3%) specimens were reported to be malignant while 245 (47.9%) were reported as negative representing the most common cytological diagnosis in the study.Conclusions: Although urine cytology is useful in the diagnostic workup of patients with bladder mass, it is unlikely it would supplant cystoscopy and biopsy in the diagnosis of bladder cancer. 


2016 ◽  
Vol 56 (3) ◽  
pp. 25-32
Author(s):  
Małgorzata Skiba ◽  
Agnieszka Pedrycz

Abstract In this publication, we adduce examples of the use of hyperbaric oxygen therapy in urinary tract diseases. Hyperbaric oxygen therapy has been proved to have a positive influence on the kidneys of animals with diabetes, sepsis or undergoing chemotherapy. In the literature, we can also find many examples of the use of hyperbaric therapy with good clinical outcomes in human patients with prostatic hypertrophy, pyelonephritis, and hemorrhagic cystitis. The first trials of this kind of treatment of urinary tract diseases were started at the end of the twentieth century. In spite of the promising results, and numerous reports on the effectiveness of this non-invasive method of treatment, it is not currently used on a regular basis. Because many factors such as time, multiple applications, the parameters used in the hyperbaric chamber as well as the medications taken by the patient affect the quality of the result, further studies are needed to make hyperbaric therapy more suitable and safer for each patient.


Revista CEFAC ◽  
2019 ◽  
Vol 21 (6) ◽  
Author(s):  
Letícia Arruda Nóro ◽  
Helena Bolli Mota

ABSTRACT Purpose: to investigate the existence of a relationship between vocabulary and measures of mean length of utterance in children in their language development phase. Methods: the sample consisted of 72 children aged 2 to 4 years, 11 months and 29 days, 36 boys and 36 girls, with typical language development, evenly distributed into age groups, enrolled in kindergartens with the public school system, in Santa Maria, RS, Brazil. Videos of the spontaneous speech of each subject were made, and then, the analysis of the vocabulary and Mean Length of Utterance took place. Statistical analysis was performed using the Statistical Analysis System program, version 9.2 and Spearman correlation coefficient, with a significance level of p <0.05. Results: the influence of gender in the Mean Length of Utterance correlation and vocabulary was observed. There was a difference between the ages of 2 and 4 years. Conclusion: vocabulary development promotes mean length utterance, indicating positive correlation between gender and age range.


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