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Новости за 11.08.2022

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Optimization and selection of cause marketing mode with the warm glow effect

Plos.org 
En

by Chuanliang Wu, Jiaping Xie, Tingting Zhang

Cause marketing (CM) is an important way of implementing corporate social responsibility (CSR) strategies. While most related studies explore firms’ implementation of CM campaigns, which involve donation of part of their sales revenue to charity for a social cause, we focus on the case of a firm contributing a specific ratio of its sales quantity to implement the CM campaign and divide the CM campaign mix into four modes according to different... Читать дальше...

A density-based matrix transformation clustering method for electrical load

Plos.org 
En

by Naiwen Li, Xian Wu, Jianjun Dong, Dan Zhang, Shuai Gao

Feature extraction of electrical load plays a vital role in providing a reliable basis and guidance for power companies. In this paper, we propose a novel clustering algorithm named the Density-based Matrix Transformation (DBMT) Clustering method to extract features (peaks, valleys and trends) of electrical load curves. The main objective of the algorithm is to reorder the data items until the data items belonging to the same cluster are organized together; that is... Читать дальше...

Genetic architecture and temporal analysis of Caenorhabditis briggsae hybrid developmental delay

Plos.org 
En

by Leonardo Velazco-Cruz, Joseph A. Ross

Identifying the alleles that reduce hybrid fitness is a major goal in the study of speciation genetics. It is rare to identify systems in which hybrid incompatibilities with minor phenotypic effects are segregating in genetically diverse populations of the same biological species. Such traits do not themselves cause reproductive isolation but might initiate the process. In the nematode Caenorhabditis briggsae, a small percent of F2 generation hybrids... Читать дальше...



Boosting k-means clustering with symbiotic organisms search for automatic clustering problems

Plos.org 
En

by Abiodun M. Ikotun, Absalom E. Ezugwu

Kmeans clustering algorithm is an iterative unsupervised learning algorithm that tries to partition the given dataset into k pre-defined distinct non-overlapping clusters where each data point belongs to only one group. However, its performance is affected by its sensitivity to the initial cluster centroids with the possibility of convergence into local optimum and specification of cluster number as the input parameter. Recently, the hybridization of... Читать дальше...

Language production impairments in patients with a first episode of psychosis

Plos.org 
En

by Giulia Gargano, Elisabetta Caletti, Cinzia Perlini, Nunzio Turtulici, Marcella Bellani, Carolina Bonivento, Marco Garzitto, Francesca Marzia Siri, Chiara Longo, Chiara Bonetto, Doriana Cristofalo, Paolo Scocco, Enrico Semrov, Antonio Preti, Lorenza Lazzarotto, Francesco Gardellin, Antonio Lasalvia, Mirella Ruggeri, Andrea Marini, Paolo Brambilla, GET UP Group

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Clinical and growth outcomes after meconium-related ileus improved with Gastrografin enema in very low birth weight infants

Plos.org 
En

by Woo Sun Song, Hye Sun Yoon, Seung Yeon Kim

Background

Meconium-related ileus in very low birth weight infants can lead to increased morbidity or mortality and prolonged hospitalization without prompt diagnosis and treatment. This study primarily aimed to identify the incidence of and factors associated with meconium-related ileus and secondarily sought to investigate clinical and growth outcomes after water-soluble contrast media (Gastrografin) enema.

Methods

We retrospectively... Читать дальше...

Новости России
Москва

Внутри SAP: вновь обнаруженная уязвимость угрожает конфиденциальности производства


Impact of human mobility and networking on spread of COVID-19 at the time of the 1st and 2nd epidemic waves in Japan: An effective distance approach

Plos.org 
En

by Yasuhiro Nohara, Toshie Manabe

Background

The influence of human mobility to the domestic spread of COVID-19 in Japan using the approach of effective distance has not yet been assessed.

Methods

We calculated the effective distance between prefectures using the data on laboratory-confirmed cases of COVID-19 from January 16 to August 23, 2020, that were times in the 1st and the 2nd epidemic waves in Japan. We also used the aggregated data on passenger volume by transportation mode for the 47 prefectures... Читать дальше...

Maternal proximity to mountain-top removal mining and birth defects in Appalachian Kentucky, 1997–2003

Plos.org 
En

by Daniel B. Cooper, Courtney J. Walker, W. Jay Christian

Extraction of coal through mountaintop removal mining (MTR) alters many dimensions of the landscape. Explosive blasts, exposed rock, and coal washing have the potential to pollute air and water. Previous research suggests that infants born to mothers living in areas with MTR have a higher prevalence of birth defects. In this cross-sectional study, we further examine the relationship between MTR activity and several types of birth defects. Читать дальше...

Assessment of relationship between retinal perfusion and retina thickness in healthy children and adolescents

Plos.org 
En

by Farhad Salari, Vahid Hatami, Masoumeh Mohebbi, Fariba Ghassemi

Purpose

To determine the correlations between inner, mid, and outer retinal thickness (RT) and allied retinal and choroidal vascular densities (VD) at macula in normal healthy children and adolescents.

Methods

This cross-sectional study included a total of 108 eyes of 59 subjects. Optical coherence tomography angiography (OCTA-Optovue) was used to measure the thickness of the inner-retina (IRT), mid-retina (MRT), and outer-retina (ORT) at foveal (central 1mm)... Читать дальше...


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