scholarly journals A comparison between Carex arenaria L. and Carex ligerica GAY - sedges from the Arenariae group based on leaf characteristics

2014 ◽  
Vol 61 (2) ◽  
pp. 265-271
Author(s):  
Lech Urbaniak
Keyword(s):  
Statistical Analysis ◽  
Distinctive Character ◽  
Leaf Characteristics ◽  
Carex Arenaria ◽  
One Year

The purpose of the study was to compare two taxonomically close species of sedges - <i>Carex arenaria</i> and <i>Carex ligerica</i>. The analysis was based on 6 characters of leaves. The populations studied were grown for the period of at least one year under the same conditions in a greenhouse. The results of statistical analysis indicate a distinctive character of each of the studied populations. Furthermore, the results show a higher interpopulational differentiation among <i>C. ligerica</i> populations.

scholarly journals Assessment of Gender Differences in Depression- A Cross-Sectional study

2021 ◽  
pp. 28-33
Author(s):  
Tushar Agravat
Keyword(s):  
Gender Differences ◽  
Statistical Analysis ◽  
Major Depression ◽  
Life Events ◽  
Stressful Life Events ◽  
Nuclear Family ◽  
Demographic Characteristics ◽  
Stressful Life ◽  
Significant Difference ◽  
One Year

Background and Aim: Major depression in both women and men is a debilitating disorder that disrupts relationship and daily lives and affects nearly 10% of general populations. The aims and objectives of this study were to determine the gender differences in major depression with respect to following: Demographic characteristics, Clinical manifestations, Stressful life events, Risk factors. Materials and Methods: Total of 100 patients was included in the study. All the included patients meet the criteria for DSM-IV (Diagnostic and Statistical Manual of Mental Disorders) diagnosis of major depression. The included patients were interviewed at the department of Psychiatry, B. J. Medical College & civil hospital Ahmedabad. Based on the Life Events Scale by Holmes and Rahe (1967), its Indian adaptation PSLE (Presumptive stressful life events scale) was done by Gurmeet Singh (1983). The statistical analysis was done by using SPSS IX version. Results: Their ages range from 18 to 70 years. Most of the patients were married, were from urban background, and nuclear family. On Hamilton Depression rating scale when the statistical analysis was done, there was no significant difference between males and females. Men had higher mean life events score than women but this was not statistically significant. In female, there was significant positive correlation between number of life events in one year and severity of depression as well as impact score during one year prior to onset of depression and Hamilton rating scores. Conclusion: Male and female major depression patients did not differ as regards demographic characteristics, except that most women were homemakers and men were employed. Number of stressful life events experienced during 1 year prior to onset of MDD was similar. Early insomnia, middle insomnia and somatic symptoms general were more severely present in female patients.

AN EMPIRICAL ANALYSIS OF SUICIDAL TRENDS IN INDIA FROM 2014 TO 2018: A RETROSPECTIVE APPROACH

2021 ◽  
pp. 221-223
Author(s):  
Chitra Jangid ◽  
Suryapratap Ray
Keyword(s):  
Statistical Analysis ◽  
Empirical Analysis ◽  
Age Groups ◽  
Penal Code ◽  
Recent Trends ◽  
One Year ◽  
Commit Suicide ◽  
Indian Penal Code

One of the major issues that we can observe as a trend; also, the constituent considers it as a criminal act is “SUICIDE”. The scope of this research covers the statistical analysis of the recent trends in suicidal activity in various states of India. Section 306 of IPC (Indian Penal Code) covers this crime and states “Whoever attempts to commit suicide and does any such activity towards the commission of suicide, shall be punished with simple imprisonment for a term which may extend to one year or ne or both”. Although various governmental and non-governmental organisations continuously spreading awareness among people, but various reasons still dominating to result such crime to be happened. Following analysis is based on age groups, gender and region wise comparison to reveal the stats in the near past. This can be helpful for various studies further and can give an Idea regarding the act.

The Use of Artificial Intelligence Systems for Support of Medical Decision-Making

2011 ◽  
pp. 1017-1029
Author(s):  
William Claster ◽  
Nader Ghotbi ◽  
Subana Shanmuganathan
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Statistical Analysis ◽  
Medical Records ◽  
Clinical Decision Making ◽  
Ct Scanning ◽  
Clinical Decision ◽  
Radiology Department ◽  
Self Organizing Map ◽  
One Year

There is a treasure trove of hidden information in the textual and narrative data of medical records that can be deciphered by text-mining techniques. The information provided by these methods can provide a basis for medical artificial intelligence and help support or improve clinical decision making by medical doctors. In this paper we extend previous work in an effort to extract meaningful information from free text medical records. We discuss a methodology for the analysis of medical records using some statistical analysis and the Kohonen Self-Organizing Map (SOM). The medical data derive from about 700 pediatric patients’ radiology department records where CT (Computed Tomography) scanning was used as part of a diagnostic exploration. The patients underwent CT scanning (single and multiple) throughout a one-year period in 2004 at the Nagasaki University Medical Hospital. Our approach led to a model based on SOM clusters and statistical analysis which may suggest a strategy for limiting CT scan requests. This is important because radiation at levels ordinarily used for CT scanning may pose significant health risks especially to children.

scholarly journals The Construction of a Mock-Up Test Building and a Statistical Analysis of the Data Acquired to Evaluate the Power Generation Performance of Photovoltaic Modules

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1546
Author(s):  
Seung-Joon Lee ◽  
Kyu-Jin Kim ◽  
Da-Sol Kim ◽  
Eui-Hwan Ryu ◽  
Jae Lee
Keyword(s):  
Power Generation ◽  
Statistical Analysis ◽  
Architectural Design ◽  
Statistical Correlation ◽  
Design Element ◽  
Design Elements ◽  
State College ◽  
Contour Plots ◽  
One Year ◽  
Power Generation Performance

Traditionally, studies on the power generation performance analysis of the photovoltaic (PV) modules used in building-integrated PV (BIPV) systems have been based on computer simulations and actual experiments with constraints, resulting in the results being inaccurate and limited. This paper proposes a two-step analysis method that results in a more versatile and reliable means of analysis. The steps are: (1) construction of a mock-up test building in the form of BIPV systems and the collection of a massive amount of operational data for one year; and (2) a statistical analysis of the acquired data using Minitab software (Version: 17, Manufacturer: Minitab Inc., State College, PA, USA) to examine the power generation performance. The constructed BIPV mock-up applies design elements such as material types (c-Si and a-Si) and various directions and angles for different module installations. Prior to the analysis, the reliability of the large database (DB) constructed from the acquired data is statistically validated. Then, from the statistical correlation analysis of the DB, several plots that visualize the performance characteristics governed by design elements, including contour plots that show the region of higher performance, are generated. Further, a regression model equation for power generation performance is derived and verified. The results of this study will be useful in determining whether a BIPV system should be adopted in a building’s architectural design and, subsequently, selecting design element values for an actual BIPV system.

scholarly journals ENERGY BALANCE EVALUATION OF INDUSTRIAL BUILDINGS WITH AN OFFICE COMPLEX / GAMYBINIO PASTATO SU ADMINISTRACINIU KORPUSU ENERGIJOS BALANSO TYRIMAS

2015 ◽  
Vol 7 (4) ◽  
pp. 493-498
Author(s):  
Juozas Bielskus ◽  
Giedrius Šiupšinskas ◽  
Dovydas Rimdžius ◽  
Kęstutis Kuzminskas ◽  
Šarūnas Gruzda
Keyword(s):  
Statistical Analysis ◽  
Energy Balance ◽  
System Analysis ◽  
Energy Savings ◽  
Energy Flows ◽  
Industrial Buildings ◽  
System Analysis Approach ◽  
Statistical Analysis Method ◽  
Evaluation Problem ◽  
One Year

While evaluating the energy savings potential in buildings of different function we face the energy balance of current situation evaluation problem. Generally the data of energy flows quantities and the nature of their dynamics are agregated and do not reflect the indicators of the achieved microclimate. Therefore this article analyses the energy balance following the example of one-year data collection analysis in a company’s building complex. The investigated problem is evaluated by the system analysis approach, i.e. the analysed object system is divided into separate subsystems which have been simulated individually but considering the subsystems joint relations in the system. The methods applied in this work are heat and mass balance of separate subsystems and statistical analysis method. The statistical analysis was used for the evaluation of the statistical reliability of the accumulated indicators (temperature, relative humidity, etc.). Siekiant įvertinti energijos taupymo potencialą skirtingos paskirties pastatuose susiduriama su esamos padėties energijos balanso įvertinimo problema. Dažniausiai duomenys apie energijos srautų kiekius ir jų kitimo pobūdį yra suminiai ir netspindi komforto rodiklių. Todėl šiame straipsinyje kaip pavyzdį pateikiant vienos įmonės pastatų komplekse atliktą vienų metų duomenų kaupimo tyrimą analizuojamas detalesnio energijos balanso sudarymas. Vertinimas atliktas sisteminės analizės požiūriu, tai yra objekto sistema buvo skaidoma į atskiras posistemes, kurios buvo atskirai modeliuojamos energyPRO kompiuterine programa, atsižvelgiant į šių posistemių tarpusavio ryšį. Šio darbo metu taikyti atskirų posistemių šilumos ir masės balansų bei statistinės analizės metodai. Statistinė analizė buvo taikoma vertinant metus trukusių matavimų sukauptų rodmenų (temperatūros, santykinės drėgmės ir kt.) statistinį patikimumą.

Correlations of water quality, sediments and benthic invertebrates in Ell-Ren River, Taiwan

1994 ◽  
Vol 30 (10) ◽  
pp. 207-212 ◽  
Author(s):  
Yu Kuang-Chung ◽  
Ho Shien-Tsong ◽  
Chang Jiunn-Kae ◽  
Lai Sheue-Duan ◽  
Wang Chao-Hsiung
Keyword(s):  
Water Quality ◽  
Heavy Metal ◽  
Statistical Analysis ◽  
Multiple Regression ◽  
Benthic Invertebrates ◽  
Aquatic Insect ◽  
Stepwise Multiple Regression ◽  
Considerable Portion ◽  
Metal Contents ◽  
One Year

The correlations of benthic invertebrates, sediments and water quality were investigated at two stations in the Ell-Ren river of Taiwan by means of statistical analysis every two months during a one year period. A total of 8 aquatic insect species and 2 annelid species were collected. Based upon the statistical analyses, several significant correlations for the population of benthic invertebrates and heavy metal contents of sediment were found between Simulium sp. and “adsorptive and exchangeable” lead, Simulium sp. “bound to carbonates” copper as well as Baetis sp. and “bound to carbonates” chromium. Results of stepwise multiple regression indicated that the heavy metal contents of sediment could explain a considerable portion of the variance in the population of benthic invertebrates. “Adsorptive and exchangeable” lead accounted for 86.2% of the variance of the population of Simulium sp. while “Bound to carbonates” chromium retained 81.5% of the variance of the population of Baetis sp.

Relationship between Transvaginal Ultrasound Endometrial Volume, Body Mass Index and Endometrial Pathology in Women with Postmenopausal Bleeding

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Mohammed Salah El Sokkary ◽  
Mahmoud Mohamed Ghaleb ◽  
Rowyna Hany Mohamed El Helw
Keyword(s):  
Statistical Analysis ◽  
Endometrial Carcinoma ◽  
Diagnostic Performance ◽  
Endometrial Hyperplasia ◽  
Transvaginal Ultrasound ◽  
Postmenopausal Bleeding ◽  
Diagnostic Characteristics ◽  
Endometrial Volume ◽  
One Year ◽  
Endometrial Pathology

Abstract Background Menopause is recognized to have occurred after one year of amenorrhea, for which there is no other obvious pathological or physiological cause. Perimenopause should include the period immediately prior to the menopause (when the endocrinological, biological and clinical features of approaching menopause commence) and the first one year after menopause. Objectives The aim of the study is classification of patients into those with benign endometrial pathology and those with endometrial hyperplasia or carcinoma using endometrial volume and BMI. Patients and Methods This observational cross sectional study was conducted at the Department of Obstetrics and Gynecology in Ain Shams University Hospital from March 2019 till January 2020. The population of this study was 100 menopausal women with postmenopausal bleeding ≥12 months and endometrial thickness by TVUS ≥5 mm. Results According to histopathology of endometrial carcinoma, statistical analysis of our data revealed that age, menopausal duration and BMI were significantly highest. Parity was significantly lowest. Endometrial volume was significantly highest in carcinoma (7.9±2.9 cc). Age, menopausal duration, parity and endometrial volume had significant moderate diagnostic performance in predicting endometrial carcinoma but BMI had significantly low. Age ≥ 62.0, menopausal duration ≥ 11.0 and parity ≤3.0 had low diagnostic characteristics in diagnosis of endometrial carcinoma but endometrial volume ≥ 6.0 had high sensitivity but low other diagnostic characteristics in the diagnosis of endometrial carcinoma. According to histopathology of endometrial hyperplasia, statistical analysis of our data revealed that age, menopausal duration, BMI, parity and endometrial volume had no significant diagnostic performance in the diagnosis of endometrial hyperplasia. Conclusion In our study, analysis of data revealed that the using of transvaginal measurement of endometrial volume is the best predictor of endometrial cancer with a positive correlation with BMI.

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