scholarly journals Factors Affecting the Choice of Urban Freight Vehicles: Issues Related to Brazilian Companies

2019 ◽  
Vol 11 (24) ◽  
pp. 7010
Author(s):  
Leise Kelli de Oliveira ◽  
Bruno Vieira Bertoncini ◽  
Carla de Oliveira Leite Nascimento ◽  
Lara Braide Rocha ◽  
Larissa Almeida Matias de Lima Batista ◽  
...  
Keyword(s):  
Literature Review ◽  
Selection Criteria ◽  
Principal Component ◽  
Descriptive Statistics ◽  
Decision Making Process ◽  
Factors Affecting ◽  
Urban Freight ◽  
Ordered Logistic Regression ◽  
Dependent Variables

In this paper, we present the attributes that influence the choice of an urban freight vehicle by using a systematic literature review and a survey conducted with logistics operators that perform urban deliveries in some of the biggest cities in Brazil. The results obtained facilitate the analysis and determination of the main attributes of vehicle selection in some cities of Brazil. Descriptive statistics are used to describe the characteristics of the companies, and a principal component analysis identifies the dependent variables, in order to evaluate the importance of each attribute. Also, an ordered logistic regression model is used to identify if the characteristics of the companies influence the choice of an urban freight vehicle. The results of this analysis indirectly indicate the dependence of the decision-making process on the logistics policies implemented in a given city. These attributes agree with those in the literature review. These results, despite of being evident, are different from the present selection criteria, which depend on local city policies.

Pemanfaatan Peta Tematik dalam Perencanaan Pembangunan Sarana dan Prasarana Pendukung Pariwisata Daerah di Kabupaten Pangandaran

Tunas Agraria ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 1-19
Author(s):  
Rizka Fakhrizatullah ◽  
Rochmat Martanto ◽  
Yendi Sufyandi
Keyword(s):  
Land Use ◽  
Data Collection ◽  
Population Density ◽  
Literature Review ◽  
Qualitative Method ◽  
Thematic Maps ◽  
Coastal Tourism ◽  
Factors Affecting ◽  
Regional Autonomy

Abstract: Pangandaran is a district with a coastline of 91 Km, so this district has the potential for coastal tourism that needs to be developed. As a new regency of regional autonomy, demands to carry out construction of facilities and infrastructure to support tourism need to be increased. This study aims to determine the distribution of facilities and infrastructure that need to be developed and to know the factors that influence the determination of the construction of facilities and infrastructure. This research uses qualitative method, data collection is done through literature review and interviews. The results of the study indicate that the factors affecting the distribution of infrastructure include land use, population density, tourism objects, land slope and disaster vulnerability. The analysis shows that the distribution of villages suitable for the development of infrastructure includes the villages of Wonoharjo, Babadan, Pananjang and Pangandaran Village.Keyword: tourism, facilities and infrastructure, thematic maps. Intisari: Pangandaran merupakan kabupaten dengan garis pantai sepanjang 91 Km, sehingga kabupaten ini memiliki potensi pariwisata pantai yang perlu dikembangkan. Sebagai Kabupaten yang baru melakukan otonomi daerah, tuntutan untuk melaksanakan pembangunan sarana dan prasarana guna mendukung pariwisata perlu ditingkatkan. Kajian ini bertujuan untuk untuk mengetahui sebaran sarana dan prasarana yang perlu dikembangkan serta mengetahui faktor-faktor yang mempengaruhi penentuan pembangunan sarana dan prasarana. Penelitian ini menggunakan metode kualitatif, pengumpulan data dilakukan melalui kajian pustaka dan wawancara. Hasil kajian menunjukkan bahwa faktor-faktor yang mempengaruhi sebaran sarana prasarana meliputi penggunaan lahan, kepadatan penduduk, obyek wisata, kemiringan lahan dan kerawanan bencana. Dari hasil analisis menunjukkan bahwa sebaran desa yang sesuai untuk pengembangan sarana prasarana meliputi Desa Wonoharjo, Babadan, Pananjang dan Desa Pangandaran.Kata kunci: pariwisata, sarana dan prasarana, peta tematik.

scholarly journals Determination of Factors Affecting Dengue Occurrence in Representative Areas of China: A Principal Component Regression Analysis

2021 ◽  
Vol 8 ◽  
Author(s):  
Xiaobo Liu ◽  
Keke Liu ◽  
Yujuan Yue ◽  
Haixia Wu ◽  
Shu Yang ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression Analysis ◽  
Principal Component Regression ◽  
Principal Component ◽  
Maximum Temperature ◽  
Factors Affecting ◽  
Positive Correlation ◽  
Guangzhou City ◽  
Monthly Average

Background: Determination of the key factors affecting dengue occurrence is of significant importance for the successful response to its outbreak. Yunnan and Guangdong Provinces in China are hotspots of dengue outbreak during recent years. However, few studies focused on the drive of multi-dimensional factors on dengue occurrence failing to consider the possible multicollinearity of the studied factors, which may bias the results.Methods: In this study, multiple linear regression analysis was utilized to explore the effect of multicollinearity among dengue occurrences and related natural and social factors. A principal component regression (PCR) analysis was utilized to determine the key dengue-driven factors in Guangzhou city of Guangdong Province and Xishuangbanna prefecture of Yunnan Province, respectively.Results: The effect of multicollinearity existed in both Guangzhou city and Xishuangbanna prefecture, respectively. PCR model revealed that the top three contributing factors to dengue occurrence in Guangzhou were Breteau Index (BI) (positive correlation), the number of imported dengue cases lagged by 1 month (positive correlation), and monthly average of maximum temperature lagged by 1 month (negative correlation). In contrast, the top three factors contributing to dengue occurrence in Xishuangbanna included monthly average of minimum temperature lagged by 1 month (positive correlation), monthly average of maximum temperature (positive correlation), monthly average of relative humidity (positive correlation), respectively.Conclusion: Meteorological factors presented stronger impacts on dengue occurrence in Xishuangbanna, Yunnan, while BI and the number of imported cases lagged by 1 month played important roles on dengue transmission in Guangzhou, Guangdong. Our findings could help to facilitate the formulation of tailored dengue response mechanism in representative areas of China in the future.

scholarly journals The Role of the Environmental Sphere in Factors Affecting Performance and in Performance Dimensions in the Utility Sector: A Literature Review

2022 ◽  
Vol 13 (1) ◽  
pp. 30
Author(s):  
Fabio De Matteis ◽  
Alessandra Tafuro ◽  
Daniela Preite ◽  
Giuseppe Dammacco
Keyword(s):  
Literature Review ◽  
Decision Making Process ◽  
Factors Affecting ◽  
Future Studies ◽  
Managerial Implications ◽  
Factors Of Influence ◽  
Performance Dimensions ◽  
Systematic Understanding ◽  
Factors Affecting Performance

Considering the environmental impacts of utility activities and the lack of literature systematic understanding of the different factors affecting utility performance with a specific consideration of the environmental sphere, this article tries to bridge this gap conducting a literature review on factors affecting utility performance. An aspect of novelty of the paper is represented by the clusterization of literature (also useful for future studies) that considers the environmental sphere both among factors of influence and as performance dimensions. The analysis conducts to conclude that both as influencing factors and as performance dimensions, the environmental role should be more widely and deeply investigated by literature. The research highlights some managerial implications: the appointment of managers should consider their “green skills” as factor influencing performance of the utilities; the need to develop managerial tools to make the decision-making process effective and efficient also in the environmental sphere.

Modeling of dynamic mosaicism on ring chromosomes in human fibroblasts and IPSCS

2020 ◽  
pp. 12-13
Author(s):  
Т.В. Никитина ◽  
А.А. Кашеварова ◽  
М.М. Гридина ◽  
А.А. Хабарова ◽  
А.Г. Мензоров ◽  
...  
Keyword(s):  
Genetic Structure ◽  
Human Fibroblasts ◽  
Cellular Heterogeneity ◽  
Mitotic Stability ◽  
Factors Affecting ◽  
Ring Chromosomes ◽  
Cell Clones ◽  
Mitotic Instability ◽  
Mitotic Behavior

Митотическая нестабильность кольцевых хромосом может приводить к появлению клеточных клонов с различной генетической структурой. В качестве модели нестабильности кольцевых хромосом в митозе мы использовали фибробласты от пациентов с r(8), r(13), r(18) и r(22) и полученные из них индуцированные плюрипотентные стволовые клетки (ИПСК). Линии ИПСК с r(22) имели относительно стабильный кариотип на протяжении десятков (до 60) пассажей и сохраняли неизменную структуру кольцевой хромосомы. Кариотип линий ИПСК с r(8) и r(18) на ранних пассажах стабильный, планируется его изучение на поздних пассажах. Наибольшее разнообразие кариотипа выявлено в линиях ИПСК с r(13), в которых наблюдали различные перестройки и выраженную клеточную гетерогенность. Определение факторов, влияющих на митотическую стабильность кольцевых хромосом, может иметь значение для консультирования пациентов. Mitotic instability of ring chromosomes can lead to the appearance of cell clones with different genetic structure. IPSCs from fibroblasts of patients with r(8), r(13), r(18), and r(22) were used as a model of ring chromosomes mitotic behavior. Karyotypes of iPSC lines with r(8) and r(18) have so far been evaluated only in the early passages, lines with r(22) have maintained a relatively stable karyotype up to 60 passages. The occurrence of rearrangements and cellular heterogeneity was found characteristic for r(13) iPSCs. The determination of factors affecting the ring chromosomes mitotic stability would be beneficial for the patient’s prognosis.

Examination of Conditions for the Determination of Carbamate Pesticides in Soils

1992 ◽  
Vol 57 (8) ◽  
pp. 1632-1638 ◽  
Author(s):  
Věra Tatarkovičová ◽  
Zdeněk Stránský
Keyword(s):  
Activated Carbon ◽  
Solvent Extraction ◽  
Soil Type ◽  
Extraction Procedure ◽  
Purification Procedure ◽  
Factors Affecting ◽  
Carbamate Pesticides ◽  
Rp Hplc ◽  
Extracting Solvent

The procedure for the determination of carbamate pesticides in soil was optimized. The following factors affecting the final results were investigated: extracting solvent, extraction procedure, extract purification procedure, and soil type. Triple extraction with acetone and purification of the extract on a two-stage purification column containing an activated carbon-silica gel 1+1 mixture were found optimal. The extracts after treatment were analyzed by RP-HPLC with UV detection. The method developed allows carbamate pesticides in soil to be determined at concentrations in excess of 30 μg kg-1.

scholarly journals Application of Derivative, Derivative Ratio, and Multivariate Spectral Analysis and Thin-Layer Chomatography-Densitometry for Determination of a Ternary Mixture Containing Drotaverine Hydrochloride, Caffeine, and Paracetamol

2007 ◽  
Vol 90 (2) ◽  
pp. 391-404 ◽  
Author(s):  
Fadia H Metwally ◽  
Yasser S El-Saharty ◽  
Mohamed Refaat ◽  
Sonia Z El-Khateeb
Keyword(s):  
Thin Layer ◽  
Least Squares ◽  
Ternary Mixture ◽  
Principal Component Regression ◽  
Pharmaceutical Preparations ◽  
Principal Component ◽  
Standard Addition ◽  
Drotaverine Hydrochloride ◽  
Assay Precision

Abstract New selective, precise, and accurate methods are described for the determination of a ternary mixture containing drotaverine hydrochloride (I), caffeine (II), and paracetamol (III). The first method uses the first (D1) and third (D3) derivative spectrophotometry at 331 and 315 nm for the determination of (I) and (III), respectively, without interference from (II). The second method depends on the simultaneous use of the first derivative of the ratio spectra (DD1) with measurement at 312.4 nm for determination of (I) using the spectrum of 40 μg/mL (III) as a divisor or measurement at 286.4 and 304 nm after using the spectrum of 4 μg/mL (I) as a divisor for the determination of (II) and (III), respectively. In the third method, the predictive abilities of the classical least-squares, principal component regression, and partial least-squares were examined for the simultaneous determination of the ternary mixture. The last method depends on thin-layer chromatography-densitometry after separation of the mixture on silica gel plates using ethyl acetatechloroformmethanol (16 + 3 + 1, v/v/v) as the mobile phase. The spots were scanned at 281, 272, and 248 nm for the determination of (I), (II), and (III), respectively. Regression analysis showed good correlation in the selected ranges with excellent percentage recoveries. The chemical variables affecting the analytical performance of the methodology were studied and optimized. The methods showed no significant interferences from excipients. Intraday and interday assay precision and accuracy values were within regulatory limits. The suggested procedures were checked using laboratory-prepared mixtures and were successfully applied for the analysis of their pharmaceutical preparations. The validity of the proposed methods was further assessed by applying a standard addition technique. The results obtained by applying the proposed methods were statistically analyzed and compared with those obtained by the manufacturer's method.

scholarly journals A New Grey Approach for Using SWARA and PIPRECIA Methods in a Group Decision-Making Environment

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1554
Author(s):  
Dragiša Stanujkić ◽  
Darjan Karabašević ◽  
Gabrijela Popović ◽  
Predrag S. Stanimirović ◽  
Muzafer Saračević ◽  
...  
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Multiple Criteria Decision Making ◽  
Grey System Theory ◽  
Multiple Criteria ◽  
Decision Making Process ◽  
Grey System ◽  
Criteria Weights

The environment in which the decision-making process takes place is often characterized by uncertainty and vagueness and, because of that, sometimes it is very hard to express the criteria weights with crisp numbers. Therefore, the application of the Grey System Theory, i.e., grey numbers, in this case, is very convenient when it comes to determination of the criteria weights with partially known information. Besides, the criteria weights have a significant role in the multiple criteria decision-making process. Many ordinary multiple criteria decision-making methods are adapted for using grey numbers, and this is the case in this article as well. A new grey extension of the certain multiple criteria decision-making methods for the determination of the criteria weights is proposed. Therefore, the article aims to propose a new extension of the Step-wise Weight Assessment Ratio Analysis (SWARA) and PIvot Pairwise Relative Criteria Importance Assessment (PIPRECIA) methods adapted for group decision-making. In the proposed approach, attitudes of decision-makers are transformed into grey group attitudes, which allows taking advantage of the benefit that grey numbers provide over crisp numbers. The main advantage of the proposed approach in relation to the use of crisp numbers is the ability to conduct different analyses, i.e., considering different scenarios, such as pessimistic, optimistic, and so on. By varying the value of the whitening coefficient, different weights of the criteria can be obtained, and it should be emphasized that this approach gives the same weights as in the case of crisp numbers when the whitening coefficient has a value of 0.5. In addition, in this approach, the grey number was formed based on the median value of collected responses because it better maintains the deviation from the normal distribution of the collected responses. The application of the proposed approach was considered through two numerical illustrations, based on which appropriate conclusions were drawn.

Multivariate Analysis Aided Surface-Enhanced Raman Spectroscopy (MVA-SERS) Multiplex Quantitative Detection of Trace Fentanyl in Illicit Drug Mixtures Using a Handheld Raman Spectrometer

2021 ◽  
pp. 000370282110329
Author(s):  
Ling Wang ◽  
Mario O. Vendrell-Dones ◽  
Chiara Deriu ◽  
Sevde Doğruer ◽  
Peter de B. Harrington ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Principal Component ◽  
Surface Enhanced Raman Spectroscopy ◽  
Quantitative Detection ◽  
Least Squares Regression ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Sers Detection ◽  
Current Screening

Recently there has been upsurge in reports that illicit seizures of cocaine and heroin have been adulterated with fentanyl. Surface-enhanced Raman spectroscopy (SERS) provides a useful alternative to current screening procedures that permits detection of trace levels of fentanyl in mixtures. Samples are solubilized and allowed to interact with aggregated colloidal nanostars to produce a rapid and sensitive assay. In this study, we present the quantitative determination of fentanyl in heroin and cocaine using SERS, using a point-and-shoot handheld Raman system. Our protocol is optimized to detect pure fentanyl down to 0.20 ± 0.06 ng/mL and can also distinguish pure cocaine and heroin at ng/mL levels. Multiplex analysis of mixtures is enabled by combining SERS detection with principal component analysis and super partial least squares regression discriminate analysis (SPLS-DA), which allow for the determination of fentanyl as low as 0.05% in simulated seized heroin and 0.10% in simulated seized cocaine samples.

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