scholarly journals A Time Series Analysis of the Trend of Crime Against Property in Oke-Ogun Region of Oyo State, Nigeria

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
James Olateju IGE ◽  
Babajide Kehinde OKUNOLA
Keyword(s):  
Research Effort ◽  
Correlation Coefficients ◽  
Property Crime ◽  
Analytical Techniques ◽  
Early Warning Systems ◽  
Temporal Variations ◽  
Coefficient Of Determination ◽  
Traditional Values ◽  
Analytical Technique ◽  
Exponential Trend

Temporal variation in spatial crime occurrence has been a topical issue in environmental criminology and criminal justice research, especially in the area of generating early warning systems for preparedness against crime. However, the concentration of research effort on urban crime pattern with unjustified neglect of regional crime impedes the search for analytical explanations and effective strategies to eradicate crime. Hence, this study examined fluctuant pattern of property crime in Oke-Ogun region of Oyo State, Nigeria. It also assessed direction and incidence speed of the crime in the area. This is with a view to understanding the influence of changes in time (year factor) and other factors (a faulty system of education, erosion of traditional values, porous border, and unemployment among others). over property crime occurrence in the region. Crime reports were collated from the Nigerian Police records on nine typologies of property crime from 2005 to 2012. The geo-analytical techniques employed to examine temporal variations in crime were exponential trend smoothing technique with a smoothing constant of 0.3 and the least-squares trend analytical technique. Regression and correlation coefficients represented by “b” and “r” respectively were used to determine the changing rate of the crimes over the period of year under investigation. Analysis showed that out of the nine crime types that were analysed, three crimes were found to exhibit a rising trend with the effluxion of year while six exhibited a declining trend. Aggregately, crime against property had downward sloping trend lines. The negative values associated with (b = – 93.04, r = – 0.62) property crime confirmed the negative lapse rates and inverse relationships. The coefficient of determination (r2) in this case is 0.3969. However, the study concluded that 39.69% of variations in the level of property crime were influenced by changes in year and 60.31% was explained by other factors which included a faulty system of education, erosion of traditional values, porous border, and unemployment among others.

Recent Developments in CE-MS Based Metabolomics

2020 ◽  
Vol 16 ◽  
Author(s):  
Mustafa Çelebier ◽  
Merve Nenni
Keyword(s):  
Sample Preparation ◽  
Scientific Information ◽  
Analytical Techniques ◽  
Living Organism ◽  
Analytical Technique ◽  
Ionic Compounds ◽  
Recent Sample ◽  
Recent Developments ◽  
Endogenous Metabolites ◽  
Preparation Techniques

Background: Metabolomics has gained importance in clinical applications over the last decade. Metabolomics studies are significant because the systemic metabolome is directly affected by disease conditions. Metabolome-based biomarkers are actively being developed for early diagnosis and to indicate the stage of specific diseases. Additionally, understanding the effect of an intervention on a living organism at the molecular level is a crucial strategy for understanding novel or unexpected biological processes. Results: The simultaneous improvements in advanced analytical techniques, sample preparation techniques, computer technology, and databank contents has enabled more valuable scientific information to be gained from metabolomics than ever before. With over 15,000 known endogenous metabolites, there is no single analytical technique capable of analyzing the whole metabolome. However, capillary electrophoresis-mass spectrometry (CE-MS) is a unique technique used to analyze an important portion of metabolites not accessible by liquid chromatography or gas chromatography techniques. The analytical capability of CE, combined with recent sample preparation techniques focused on extracting polar-ionic compounds, make CE-MS a perfect technique for metabolomic studies. Conclusion: Here, previous reviews of CE-MS based metabolomics are evaluated to highlight recent improvements in this technique. Specifically, we review papers from the last two years (2018 and 2019) on CE-MS based metabolomics. The current situation and the challenges facing metabolomic studies are discussed to reveal the high potential of CE-MS for further studies, especially in biomarker development studies.

scholarly journals Shift in racial communities impacted by COVID-19 in California

2020 ◽  
pp. jech-2020-215148
Author(s):  
Raphael E Cuomo
Keyword(s):  
African American ◽  
Asian American ◽  
Linear Trend ◽  
Correlation Coefficients ◽  
Longitudinal Distribution ◽  
County Level ◽  
White American ◽  
First Case ◽  
Exponential Trend ◽  
African American Communities

IntroductionSince the first case of COVID-19 was recorded in California, the geospatial distribution of disease cases has fluctuated over time. Given documented racial disparities in other parts of the country, longitudinal convergence of COVID-19 rates around race groups warrants assessment.MethodsCounty-level cases for COVID-19 were collected from the Johns Hopkins University, and racial distributions were collected from the American Community Survey. Pearson’s correlation coefficients were computed for each day since COVID-19 was first reported in California, and the longitudinal distribution of each race-specific set of correlation coefficients was assessed for stationarity, linear trend and exponential trend.ResultsEarlier in the outbreak, the distribution of COVID-19 was most highly correlated with Asian American communities; after approximately 100 days, the distribution of COVID-19 most closely resembled that of African American communities. For every day in this dataset, the county-level distribution of COVID-19 was negatively correlated with the distribution of White American communities in California.DiscussionThe geospatial distribution of COVID-19 in California has increasingly resembled that of African American communities within the state. Further study should be conducted to characterise potentially disproportionate impacts of the COVID-19 pandemic across race groups.

scholarly journals Mycotoxin Analysis: New Proposals for Sample Treatment

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Natalia Arroyo-Manzanares ◽  
José F. Huertas-Pérez ◽  
Ana M. García-Campaña ◽  
Laura Gámiz-Gracia
Keyword(s):  
Raw Materials ◽  
Animal Health ◽  
Analytical Techniques ◽  
Sample Treatment ◽  
Analytical Technique ◽  
Chemical Structures ◽  
Technical Developments ◽  
Food And Feed ◽  
Ultrahigh Performance Liquid Chromatography ◽  
Food Commodities

Mycotoxins are toxic secondary metabolites produced by different fungi, with different chemical structures. Mycotoxins contaminate food, feed, or raw materials used in their production and cause diseases and disorders in humans and livestock. Because of their great variety of toxic effects and their extreme heat resistance, the presence of mycotoxins in food and feed is considered a high risk to human and animal health. In order to ensure food quality and health consumers, European legislation has set maximum contents of some mycotoxins in different matrices. However, there are still some food commodities susceptible to fungal contamination, which were not contemplated in this legislation. In this context, we have developed new analytical techniques for the multiclass determination of mycotoxins in a great variety of food commodities (some of them scarcely studied), such as cereals, pseudocereals, cereal syrups, nuts, edible seeds, and botanicals. Considering the latest technical developments, ultrahigh performance liquid chromatography coupled to tandem mass spectrometry has been chosen as an efficient, fast, and selective powerful analytical technique. In addition, alternative sample treatments based on emerging methodologies, such as dispersive liquid-liquid microextraction and QuEChERS, have been developed, which allow an increased efficiency and sample throughput, as well as reducing contaminant waste.

Growth performance, correlation and regression estimates of seven-chicken strains in South-Western Nigeria

2020 ◽  
Vol 45 (2) ◽  
pp. 40-48
Author(s):  
A. J. Atansuyi ◽  
U. C. Ihendu ◽  
C. A. Chineke
Keyword(s):  
Body Weight ◽  
Growth Performance ◽  
Correlation Coefficients ◽  
Tail Length ◽  
Experimental Period ◽  
The Body ◽  
Coefficient Of Determination ◽  
Indigenous Chicken ◽  
Randomized Design ◽  
Study Results

This study was conducted to determine the growth performance, correlation and regression estimates of seven-chicken strains in South-western Nigeria using a total of 300 day-old chicks. The birds were divided into seven groups based on their strain. The seven strains are Normal feather (NF), Fulani ecotype (FE), Frizzle feather (FF), naked neck (NN) and Transylvania indigenous strains while Hubbard and Marshal were meat-type exotic chickens. There were forty- five (45) unsexed day-old chicks in each strain except the Frizzle feather that were 30 in number. Completely randomized design (CRD) was used for the trial that lasted for 8 weeks. The birds were fed experimental diets ad libitum throughout the period of the study. Results showed that there were significant differences (p<0.05) in the initial and final weights of the birds. It was observed that exotic strains weighed heavier (3569.73gHB) than their indigenous counterparts (1391.11gNF). However, the Fulani ecotype weighed heaviest (1840.99g) among Nigeria indigenous strains during the experimental period. This showed that FE strains are generally heavy breed chicken and could be incorporated into a meat producing indigenous chicken if improved upon. The result of the correlation coefficients showed that a very strong, positive and highly significant (P<0.001) relationship existed between body weights and linear body measurements as most of the values are (>0.40). All the body parameter examined had significant (p<0.01) and direct relationship with the body weight. Shoulder-to-tail length (STL) had the highest coefficient of 0.98.The high correlation estimates obtained in this study could be as a result of pleiotropy, heterozygosity or linkage of genes in the birds. The three functions were highly significant (p<0.05) for all the parameters studied. This shows that the functions well described the parameters. On the basis of coefficient of determination (R ), the body weight of poultry birds at any age can be predicted most accurately with BRG using cubic function.

scholarly journals Commentary on Ivancic et al.: Enzyme kinetics from circular dichroism of insulin reveals mechanistic insights into the regulation of insulin-degrading enzyme

2018 ◽  
Vol 38 (6) ◽  
Author(s):  
Giuseppe Grasso
Keyword(s):  
Analytical Techniques ◽  
Label Free ◽  
Insulin Degrading Enzyme ◽  
Degrading Enzyme ◽  
Analytical Technique ◽  
Biochemical Pathways ◽  
New Methods ◽  
The World ◽  
Free Environment ◽  
Enormous Number

Despite the enormous number of therapeutic advances in medicine, nowadays many diseases are still incurable, mainly due to the lack of knowledge of the pathological biochemical pathways triggering those diseases. For this reason, it is compulsory for the scientific community to investigate and unveil the biomolecular mechanisms responsible for the development of those diseases, such as Alzheimer’s disease and diabetes, which are widespread all over the world. In this scenario, it is of paramount importance to develop new analytical techniques and experimental procedures that are capable to make the above-mentioned investigations feasible. These new methods should allow easy performable analysis carried out in a label-free environment, in order to give reliable answers to specific biochemical questions. A recent paper published on Bioscience Reports by Ivancic et al. (https://doi.org/10.1042/BSR20181416) proposes a new analytical technique capable to reveal some mechanistic insights into the regulation of insulin-degrading enzyme (IDE), a protein involved in the above-mentioned diseases. IDE is a multifaceted enzyme having different and not well-defined roles in the cell, but it is primarily a proteolytic enzyme capable to degrade several different amyloidogenic substrates involved in different diseases. Moreover, many molecules are responsible for IDE activity modulation so that understanding how IDE activity is regulated represents a very challenging analytical task. The new analytical approach proposed by Ivancic et al. reports on the possibility to study IDE activity in an unbiased and label-free manner, representing a valid alternative assay for the investigation of any proteases degradative activity.

Near-infrared spectroscopy as a potential method for routine sediment analysis to improve rapidity and efficiency

1998 ◽  
Vol 37 (6-7) ◽  
pp. 181-188 ◽  
Author(s):  
Diane F. Malley
Keyword(s):  
Near Infrared ◽  
Organic Matter Content ◽  
Aggregate Size ◽  
Clay Content ◽  
Analytical Techniques ◽  
Matter Content ◽  
Near Infrared Reflectance ◽  
Organic C ◽  
Analytical Technique ◽  
Sediment Analysis

The potential for improvement in the rapidity, cost-effectiveness, and efficiency of sediment analysis by the application of near-infrared reflectance spectroscopy (NIRS) is recognized. The rapid (&lt;2 min), non-chemical, non-destructive analytical technique of near-infrared (700–2500 nm) spectroscopy combines applied spectroscopy and complex statistics. It has been used for the experimental analysis of various constituents and functions of soils since the 1960s, and applications for the analysis of sediments are currently being explored. For application of NIRS, sediment samples require little preparation, other than drying, and the samples are not subject to the manipulations of conventional analytical techniques. The spectral information recorded in a 2 min scan can be used to predict numerous constituents and parameters on the samples once appropriate calibration equations have been prepared from sets of samples analyzed by both NIRS and conventional analytical techniques. Constituents and properties of soil and/or sediment analyzed by NIRS technology include moisture, organic matter content, organic C, CO3=, N, P, S, K, Ca, Mg, clay content, humic acids, lignin, cellulose, metal oxides, heavy metals, aggregate size, and inferred past pH of lakes. Several areas are identified where further research is needed to prepare for the application of NIRS to the routine analysis of sediments.

scholarly journals Dampak Hubungan Karyawan dan Kedisiplinan Kerja terhadap Kinerja Karyawan

2019 ◽  
Vol 1 (2) ◽  
pp. 382-393
Author(s):  
Rizki Akbari ◽  
Kokom Komariah ◽  
Dicky Jhoansyah
Keyword(s):  
Employee Performance ◽  
Linear Regression Analysis ◽  
Correlation Coefficients ◽  
Multiple Linear Regression Analysis ◽  
Test Reliability ◽  
Coefficient Of Determination ◽  
Employee Relations ◽  
Analysis Technique ◽  
Multiple Correlation Coefficients ◽  
The Impact

The purpose of this study was to determine the impact of employee relations (variable X1) and Work Discipline (variable X2) on Employee Performance (variable Y). The method used in this research is to use descriptive and associative methods. Data collection techniques used by researchers in this study are through observation, questionnaire interviews, documentation and literature studies. The data analysis technique used is the validity test, reliability test, multiple linear regression analysis, including the test of the coefficient of determination and multiple correlation coefficients. The results of the test of the coefficient of determination seen from the value (Adjusted R2) of 0.531 can be interpreted that the impact of employee relations and working discipline on employee performance is equal to 53.1%. The remaining 46.9% is influenced by other factors outside this study. Conclusion, there is a moderate relationship between employee relations and work discipline with employee performance. Keywords: Employee Relations, Work Discipline, Employee Performance

Heterosis in relation to genetic divergence in short duration maize (Zea mays L.)

2021 ◽  
pp. 137-142
Author(s):  
Bal Krishna ◽  
Birender Singh ◽  
Shyam Sundar Mandal ◽  
Rashmi Kumari ◽  
Tushar Ranjan
Keyword(s):  
Genetic Distance ◽  
Genetic Divergence ◽  
Zea Mays L ◽  
Correlation Coefficients ◽  
Negative Association ◽  
Coefficient Of Determination ◽  
Maize Hybrids ◽  
Single Cross ◽  
Per Se ◽  
Linear Regressions

Thirteen lines and three testers were used to produce 39 single cross maize hybrids by line Ítester mating design. The genetic divergence among thirteen lines and three tester of maize were estimated by using Mahalanobis D2 statistic for twelve characters. The genotypes were grouped into five clusters. Cluster I comprised 12 parental genotypes (L1, L2, L3, L4, L5; L6, L7, L8, L9, L11; L12, L13), while Cluster II (T3), III (T1), IV (L10) and V (T2) were mono-genotypic, suggesting more variability in genetic makeup of the genotypes included in these clusters. The correlation coefficients and linear regressions were used to know the effects of parental genetic distance in determining heterosis and per se performance of the hybrids. Parental genetic distance exhibited significant negative association and significant linear regression along with very low coefficient of determination with better parent heterosis (BPH) and non-significant with per se performance of the hybrids. The present investigation, therefore, the parental genetic distance has significant role in determining heterosis and hybrid performance in kharif maize.

The Global Geodetic Observing System (GGOS) – infrastructure underpinning Earth science

2021 ◽  
Author(s):  
Basara Miyahara ◽  
Laura Sánchez ◽  
Martin Sehnal
Keyword(s):  
Mass Transport ◽  
Gravity Field ◽  
Reference Frames ◽  
Earth Science ◽  
International Association ◽  
Analytical Techniques ◽  
Temporal Variations ◽  
Core Element ◽  
The Earth ◽  
Surface Kinematics

&lt;p&gt;The Global Geodetic Observing System (GGOS) is the contribution of Geodesy to the observation and monitoring of the Earth System. Geodesy is the science of determining and representing the shape of the Earth, its gravity field and its rotation as a function of time. A core element to reach this goal are stable and consistent geodetic reference frames, which provide the fundamental layer for the determination of time-dependent coordinates of points or objects, and for describing the motion of the Earth in space. Traditionally, geodetic reference frames have been used for surveying, mapping, and space-based positioning and navigation. With modern instrumentation and analytical techniques, Geodesy is now capable of detecting time variations ranging from large and secular scales to very small and transient deformations with increasing spatial and temporal resolution, high accuracy, and decreasing latency. GGOS has been working closely with components of International Association of Geodesy (IAG) to provide consistent and openly available observations of the spatial and temporal changes of the shape and gravity field of the Earth, as well as the temporal variations of the Earth&amp;#8217;s rotation. These efforts make available a global picture of the surface kinematics of our planet, including the ocean, ice cover, continental water, and land surfaces, as well as estimates of mass anomalies, mass transport, and mass exchange in the System Earth. Surface kinematics and mass transport together are the key to global mass balance determination, and are an important contribution to understanding the energy budget of our planet. In order to play its vital role, GGOS has following missions; a) to provide the observations needed to monitor, map, and understand changes in the Earth&amp;#8217;s shape, rotation, and mass distribution, b) to provide the global geodetic frame of reference that is the fundamental backbone for measuring and consistently interpreting key global change processes and for many other scientific and societal applications, c) to benefit science and society by providing the foundation upon which advances in Earth and planetary system science and applications are built. For the mission, GGOS works tighter with components of the IAG, more specifically, IAG Services, IAG Commissions and IAG Inter-Commission Committees. The IAG Services provide the infrastructure and products on which all contributions of GGOS are based, and the IAG Commissions and IAG Inter-Commission Committees provide expertise and support to address key scientific issues within GGOS. Together with the IAG components, GGOS provides the fundamental infrastructure underpinning Earth sciences and their applications.&lt;/p&gt;

Repetitive Project Modelling With Penalty and Incentive

2018 ◽  
Vol 9 (1) ◽  
pp. 1-21 ◽  
Author(s):  
Mohammed Shurrab ◽  
Ghaleb Y. Abbasi ◽  
Osama Eljamal ◽  
Jalal T. Tanatrah
Keyword(s):  
Construction Projects ◽  
Real Life ◽  
Analytical Techniques ◽  
Suggested Model ◽  
The Real ◽  
Analytical Technique ◽  
Numerical Example ◽  
Graphical Technique ◽  
Project Model ◽  
Repetitive Activities

Repetitive construction activities have the same activities which are performed repeatedly. Repetitive projects include: pipelines, highways, and multi-story buildings. Repetitive projects have been modelled widely using the traditional network techniques although, they have some disadvantages. Furthermore, different approached have been developed for repetitive activities including the graphical and analytical techniques. The objective of this research is to add new enhancements on an approach called Repetitive Project Model (RPM) which is related to the repetitive construction projects. The enhancements incorporating the incentives and penalties within the RPM. This model incorporates a network technique, a graphical technique, and an analytical technique. A numerical example was demonstrated in this research paper to aid on using the suggested model in the real-life application.

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