Statistical analysis of bedslope, shape and fertigation timing to reduce nitrate loss in furrow fertigation.

Abstract Improper use of chemicals in irrigation practices is one of the prime concerns for widespread surface and groundwater pollution in agricultural areas; thus, it is vital to improving chemical application through proper fertigation managements. This research focuses on the impact of shape, slope, and fertigation timing on furrow irrigation performance. The results demonstrated that the effects of furrow shape, bed slope, and timing of fertigation were statistically significant, and altering these parameters would change the absorbed nitrate and nitrate loss amounts.

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Assessment of small businesses activities in Ukraine

Problems of Innovation and Investment Development ◽

10.33813/2224-1213.20.2019.4 ◽

2019 ◽

pp. 40-47

Author(s):

Igor Ponomarenko ◽

Kateryna Volovnenko

Keyword(s):

Comparative Analysis ◽

Statistical Analysis ◽

Small Business ◽

Small Businesses ◽

Government Agencies ◽

Small Enterprises ◽

The Subject ◽

Business Entities ◽

The Impact ◽

Micro Enterprises

The subject of the research is a set of approaches to the statistical analysis ofthe activities of small business entities in Ukraine, including micro-enterprises. The purpose of writing this article is to study of the features of functioningof small business entities in Ukraine. Methodology. The research methodology isto use a system-structural and comparative analysis (to study the change in thenumber of small enterprises by major components); monographic (when studyingmethods of statistical analysis of small businesses); economic analysis (when assessing the impact of small business entities on socio-economic phenomena andprocesses in Ukraine). The scientific novelty consists to determine the features ofthe functioning of small businesses in Ukraine in modern conditions. The influenceof the activities of the main socio-economic and political indicators on the activities of small enterprises in recent periods of time has been identified. It has beenestablished that there is flexibility in the development of strategies by small businesses in conditions of significant competition, which makes it possible to quicklyrespond to changing situations in specific markets. Conclusions. The use of acomprehensive statistical analysis of small businesses functioning in Ukraine willallow government agencies to develop a set of measures to optimize the activitiesof these enterprises, which ultimately will positively affect the strengthening oftheir competitiveness and will contribute to the growth of the national economicsystem.

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Effects of Quarantine Due to the COVID-19 on Sleep Duration and Quality in Algerians

Acta Facultatis Educationis Physicae Universitatis Comenianae ◽

10.2478/afepuc-2020-0015 ◽

2020 ◽

Vol 60 (2) ◽

pp. 182-193

Author(s):

Kacem Abdelhadi ◽

Houar Abdelatif ◽

Zerf Mohamed ◽

Bengoua Ali

Keyword(s):

Statistical Analysis ◽

Sleep Quality ◽

Sleep Duration ◽

Online Survey ◽

Public Awareness ◽

Italian Version ◽

Sleep Timing ◽

Algerian Population ◽

Significant Change ◽

The Impact

SummaryThis study tests the impact of COVID-19 on sleep of Algerian population before and during the COVID-19 quarantine by an estimated online survey, adapted from the PSQI Italian version. Including 1210 participants (age between 18-60 years old). The statistical analysis was carried out using SPSS version 22.0 software. Our results showed a significant change in sleeping quality during quarantine, the sleep timing markedly changed, we also noticed additional use of sleeping medications. Algerian scientists recommend to build public awareness and to provide necessary information regarding Algerian sleep quality, especially for Algerian adults.

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The Effect of Public Office Values on Government Trust: Focusing on the Effects of Regulating the Level of Citizenship

Restaurant Business ◽

10.26643/rb.v118i2.7263 ◽

2019 ◽

Vol 118 (2) ◽

pp. 35-42

Author(s):

Nam-Sik Yun ◽

Seok-Kee Lee

Keyword(s):

Statistical Analysis ◽

Public Administration ◽

Public Service ◽

Public Office ◽

Institute Of Public Administration ◽

Service Value ◽

Korean Government ◽

Government Sector ◽

The Impact

Background/Objectives: The study discussed the impact of citizens' perceptions of public office values of integrity, accountability, and fairness, based on the view that government trust is centered on the citizens' perception of the value of public office. Methods/Statistical analysis: The data was based on a 2017 survey conducted by the Korea Institute of Public Administration on the perception of corruption in the Korean government sector. The study included 1,000 people and was conducted through a survey public service value, citizenship level and government trust. The data were analyzed using the SPSS 22 and AMOS 22.0 program.

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The Effect of Public Office Values on Government Trust: Focusing on the Effects of Regulating the Level of Citizenship

Restaurant Business ◽

10.26643/rb.v118i8.7713 ◽

2019 ◽

Vol 118 (8) ◽

pp. 366-374

Author(s):

Nam-Sik Yun ◽

Seok-Kee Lee

Keyword(s):

Statistical Analysis ◽

Public Administration ◽

Public Service ◽

Public Office ◽

Institute Of Public Administration ◽

Service Value ◽

Korean Government ◽

Government Sector ◽

The Impact

The study discussed the impact of citizens' perceptions of public office values of integrity, accountability, and fairness, based on the view that government trust is centered on the citizens' perception of the value of public office. Methods/Statistical analysis: The data was based on a 2017 survey conducted by the Korea Institute of Public Administration on the perception of corruption in the Korean government sector. The study included 1,000 people and was conducted through a survey public service value, citizenship level and government trust. The data were analyzed using the SPSS 22 and AMOS 22.0 program.

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Transport and Chronic Injuries Caused by Improper Use of Cell Phones：Evidences from 41 Studies (Preprint)

10.2196/preprints.21313 ◽

2020 ◽

Author(s):

Xinxi Cao ◽

Yangyang Cheng ◽

Chenjie Xu ◽

Yabing Hou ◽

Hongxi Yang ◽

...

Keyword(s):

Human Body ◽

Cell Phone ◽

Injury Risk ◽

Negative Impact ◽

Mental Disease ◽

Cell Phones ◽

Cell Phone Use ◽

Improper Use ◽

Chronic Injuries ◽

The Impact

BACKGROUND Cell phone use brought convenience to people, but using phones for a long period of time or in the wrong way and with a wrong posture might cause damage to the human body. OBJECTIVE To assess the impact of improper cell phone use on transport and chronic injuries. METHODS Studies were systematically searched in PubMed, EMBASE, Cochrane, and Web of Science up to April 4, 2019 and relevant reviews were searched to identify additional studies. A random-effects model was used to estimate the overall pooled estimates. RESULTS Cell phone users were at a higher risk for transport injuries (RR: 1.37, 95%CI: 1.221.55), long-term use of cell phones increased the transport injury risk to non-use or short-term use (RR: 2.10, 95% CI: 1.632.70). Neoplasm risk caused by cell phone use was 1.07 times that of non-use (95% CI: 1.011.14); Compared with non-use, cell phone use had a higher risk of eye disease, with a risk of 2.03 (95% CI: 1.273.23), the risk of mental disease was 1.26 (95% CI: 1.171.35), the risk of neurological disorder was 1.16 (95% CI: 1.021.32), and a pooled risk of other chronic injuries was 1.20 (95% CI: 0.981.59). CONCLUSIONS Cell phone use at inappropriate situations has a negative impact on the human body. Therefore, it is necessary to use cell phones correctly and reasonably.

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Image Statistics Preserving Encrypt-then-Compress Scheme Dedicated for JPEG Compression Standard

Entropy ◽

10.3390/e23040421 ◽

2021 ◽

Vol 23 (4) ◽

pp. 421

Author(s):

Dariusz Puchala ◽

Kamil Stokfiszewski ◽

Mykhaylo Yatsymirskyy

Keyword(s):

Statistical Analysis ◽

Image Encryption ◽

Experimental Studies ◽

Quality Measures ◽

Input Image ◽

Jpeg Compression ◽

Image Statistics ◽

Compression Stage ◽

Wide Range ◽

The Impact

In this paper, the authors analyze in more details an image encryption scheme, proposed by the authors in their earlier work, which preserves input image statistics and can be used in connection with the JPEG compression standard. The image encryption process takes advantage of fast linear transforms parametrized with private keys and is carried out prior to the compression stage in a way that does not alter those statistical characteristics of the input image that are crucial from the point of view of the subsequent compression. This feature makes the encryption process transparent to the compression stage and enables the JPEG algorithm to maintain its full compression capabilities even though it operates on the encrypted image data. The main advantage of the considered approach is the fact that the JPEG algorithm can be used without any modifications as a part of the encrypt-then-compress image processing framework. The paper includes a detailed mathematical model of the examined scheme allowing for theoretical analysis of the impact of the image encryption step on the effectiveness of the compression process. The combinatorial and statistical analysis of the encryption process is also included and it allows to evaluate its cryptographic strength. In addition, the paper considers several practical use-case scenarios with different characteristics of the compression and encryption stages. The final part of the paper contains the additional results of the experimental studies regarding general effectiveness of the presented scheme. The results show that for a wide range of compression ratios the considered scheme performs comparably to the JPEG algorithm alone, that is, without the encryption stage, in terms of the quality measures of reconstructed images. Moreover, the results of statistical analysis as well as those obtained with generally approved quality measures of image cryptographic systems, prove high strength and efficiency of the scheme’s encryption stage.

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Characteristics of visits and predictors of admission from a paediatric emergency room in Saudi Arabia

BMC Emergency Medicine ◽

10.1186/s12873-021-00467-7 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Mohammad H. Al-Qahtani ◽

Abdullah A. Yousef ◽

Bassam H. Awary ◽

Waleed H. Albuali ◽

Mohammed A. Al Ghamdi ◽

...

Keyword(s):

Saudi Arabia ◽

Hospital Admission ◽

Hospital Admissions ◽

Binary Logistic Regression ◽

Total Sample ◽

Age Group ◽

Chi Squared ◽

Improper Use ◽

Level Shifts ◽

The Impact

Abstract Background The Emergency Repartment (ER) is one of the most used areas in healthcare institutions. Problems with over utilisation and overcrowding have been reported worldwide. This study aims at examining the characteristics of paediatric ER visits, the rate of hospital admissions and its associated predictors at King Fahd Hospital of the University in the Eastern Province of Saudi Arabia. Methods This is a retrospective, medical record-based study. Variables included gender, age group, nationality, complaints, Triage level, shifts and seasons. Descriptive statistics were reported as frequencies/percentages. P-values were obtained through a Chi-Squared test while unadjusted and adjusted odds ratios were estimated by binary logistic regression, where admission was considered as the outcome. Results The total number of paediatric patients included was 46,374, and only 2.5% were admitted. Males comprised 55.4% while females comprised 44.6%. The most common age group were toddlers, and 92.4% of the total sample were Saudis. The most common complaint was fever (26.9%) followed by respiratory symptoms (24.9%). Only 7 patients (0.02%) were classified as triage I (Resuscitation), and most were triage IV (Less urgent) (71.0%). Most visits occurred during the winter months. Adjusted ORs showed that neonates had higher odds of admission (OR = 3.85, 95%CI = 2.57–5.76). Moreover, those presenting with haematological conditions showed an OR of 65.49 (95%CI = 47.85–89.64), followed by endocrine conditions showing an OR of 34.89 (95%CI = 23.65–51.47). Triage I had a very high odds of admission (OR = 19.02, 95%CI = 2.70–133.76), whereas triage V was associated with a very low odds of admission (OR = 0.30, 95%CI = 0.23–0.38). Conclusions A low rate of hospital admission was found in comparison with other rates worldwide. This was mostly attributed to an alarmingly high number of non-urgent ER visits. This further emphasises the problem with improper use of ER services, as these cases should be more appropriately directed towards primary healthcare centres. Further studies to examine the impact of prioritising patients in the ER based on the identified predictors of hospital admission, in addition to the standard triage system, are suggested.

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Statistical Analysis and Machine Learning Prediction of Fog-Caused Low-Visibility Events at A-8 Motor-Road in Spain

Atmosphere ◽

10.3390/atmos12060679 ◽

2021 ◽

Vol 12 (6) ◽

pp. 679

Author(s):

Sara Cornejo-Bueno ◽

David Casillas-Pérez ◽

Laura Cornejo-Bueno ◽

Mihaela I. Chidean ◽

Antonio J. Caamaño ◽

...

Keyword(s):

Statistical Analysis ◽

Probability Distributions ◽

Pearson Correlation ◽

Likelihood Method ◽

Neural Network Approach ◽

Event Duration ◽

Full Characterization ◽

Low Visibility ◽

Learning Machine ◽

The Impact

This work presents a full statistical analysis and accurate prediction of low-visibility events due to fog, at the A-8 motor-road in Mondoñedo (Galicia, Spain). The present analysis covers two years of study, considering visibility time series and exogenous variables collected in the zone affected the most by extreme low-visibility events. This paper has then a two-fold objective: first, we carry out a statistical analysis for estimating the fittest probability distributions to the fog event duration, using the Maximum Likelihood method and an alternative method known as the L-moments method. This statistical study allows association of the low-visibility depth with the event duration, showing a clear relationship, which can be modeled with distributions for extremes such as Generalized Extreme Value and Generalized Pareto distributions. Second, we apply a neural network approach, trained by means of the ELM (Extreme Learning Machine) algorithm, to predict the occurrence of low-visibility events due to fog, from atmospheric predictive variables. This study provides a full characterization of fog events at this motor-road, in which orographic fog is predominant, causing important traffic problems during all year. We also show how the ELM approach is able to obtain highly accurate low-visibility events predictions, with a Pearson correlation coefficient of 0.8, within a half-hour time horizon, enough to initialize some protocols aiming at reducing the impact of these extreme events in the traffic of the A-8 motor road.

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Optimal Solutions for the Use of Sewage Sludge on Agricultural Lands

Water ◽

10.3390/w13050585 ◽

2021 ◽

Vol 13 (5) ◽

pp. 585

Author(s):

Catalina Iticescu ◽

Puiu-Lucian Georgescu ◽

Maxim Arseni ◽

Adrian Rosu ◽

Mihaela Timofti ◽

...

Keyword(s):

Heavy Metals ◽

Sewage Sludge ◽

Agricultural Production ◽

Agricultural Land ◽

Chemical Characteristics ◽

Optimal Solutions ◽

Physico Chemical ◽

Agricultural Areas ◽

The Impact ◽

Made In

The use of sewage sludge in agriculture decreases the pressure on landfills. In Romania, massive investments have been made in wastewater treatment stations, which have resulted in the accumulation of important quantities of sewage sludge. The presence of these sewage sludges coincides with large areas of degraded agricultural land. The aim of the present article is to identify the best technological combinations meant to solve these problems simultaneously. Adapting the quality and parameters of the sludge to the specificity of the land solves the possible compatibility problems, thus reducing the impact on the environment. The physico-chemical characteristics of the fermented sludge were monitored and optimal solutions for their treatment were suggested so as to allow that the sludge could be used in agriculture according to the characteristics of the soils. The content of heavy metals in the sewage sludge was closely monitored because the use of sewage sludge as a fertilizer does not allow for any increases in the concentrations of these in soils. The article identifies those agricultural areas which are suitable for the use of sludge, as well as ways of correcting some parameters (e.g., pH), which allow the improvement of soil quality and obtained higher agricultural production.

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Stiffness and Strength of Stabilized Organic Soils—Part I/II: Experimental Database and Statistical Description for Machine Learning Modelling

Geosciences ◽

10.3390/geosciences11060243 ◽

2021 ◽

Vol 11 (6) ◽

pp. 243

Author(s):

Hernandez-Martinez Francisco G. ◽

Al-Tabbaa Abir ◽

Medina-Cetina Zenon ◽

Yousefpour Negin

Keyword(s):

Machine Learning ◽

Statistical Analysis ◽

Portland Cement ◽

Soil Stabilization ◽

Data Availability ◽

Data Repository ◽

Organic Soils ◽

Experimental Database ◽

Soil Mixing ◽

The Impact

This paper presents the experimental database and corresponding statistical analysis (Part I), which serves as a basis to perform the corresponding parametric analysis and machine learning modelling (Part II) of a comprehensive study on organic soil strength and stiffness, stabilized via the wet soil mixing method. The experimental database includes unconfined compression tests performed under laboratory-controlled conditions to investigate the impact of soil type, the soil’s organic content, the soil’s initial natural water content, binder type, binder quantity, grout to soil ratio, water to binder ratio, curing time, temperature, curing relative humidity and carbon dioxide content on the stabilized organic specimens’ stiffness and strength. A descriptive statistical analysis complements the description of the experimental database, along with a qualitative study on the stabilization hydration process via scanning electron microscopy images. Results confirmed findings on the use of Portland cement alone and a mix of Portland cement with ground granulated blast furnace slag as suitable binders for soil stabilization. Findings on mixes including lime and magnesium oxide cements demonstrated minimal stabilization. Specimen size affected stiffness, but not the strength for mixes of peat and Portland cement. The experimental database, along with all produced data analyses, are available at the Texas Data Repository as indicated in the Data Availability Statement below, to allow for data reproducibility and promote the use of artificial intelligence and machine learning competing modelling techniques as the ones presented in Part II of this paper.

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