Cellulose microspheres (CMS) are a type of spherical regenerated cellulose particles with versatile properties which have been used as carrier materials in medical and technical applications. The integration of CMS into paper products opens up novel application scenarios for paper products in a wide range of fields. However, the incorporation of CMS carriers into paper products is challenging and hitherto no reports do exist in literature. Here, we present a feasibility study to incorporate up to 50 w.% CMS in paper hand sheets using retention aids. Our primary observations highlight the successful formation of uniform paper hand sheets retaining its tensile strengths at elevated CMS concentrations. Sheets with high CMS contents exhibit an increase in density and display enhanced surface smoothness - an outcome of a CMS layer forming atop the fiber base - which effectively bridges voids and rectifies surface irregularities as supported by Gurley testing, infinite focus microscopy and scanning electron microscopy. While our primary objective centered on the general feasibility to manufacture CMS-containing papers, the resulting composite scaffold carries significant potential as a platform for innovative, functional paper-based materials.
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http://dx.doi.org/10.1016/j.carbpol.2024.122207 | DOI Listing |
PLoS One
January 2025
Health Research and Social Development Forum (HERD) International, Lalitpur, Nepal.
Introduction: Sexual behavior among youth is a public health concern, particularly in contexts where cultural norms, socio-economic factors, and access to comprehensive sexual education play pivotal roles. This paper aims to examine the determinants of sexual behavior among Nepali youths.
Methods: This study analyzed data from 7,122 individuals aged 15-24 years from the Nepal Demographic and Health Survey (NDHS) 2022, focusing on a nationally representative sample.
PLoS One
January 2025
School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
The concept of 'resilience' is pervasive, permeating academic disciplines and political discourses. This paper considers (i) the construal of 'resilience' in the contexts of food insecurity and cost-of-living in governmental discourses in the United Kingdom (UK); (ii) to what extent the political representations are reflected in research funding calls of UK national funding bodies, thus showing possibility of shaping research agendas; and (iii) to what extent official uses of 'resilience' reflect lay understandings. We are combining a corpus-based discourse analysis of UK governmental discourses and research funding calls with a study of focus group discussions.
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January 2025
Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
Epithelial cancers are typically heterogeneous with primary prostate cancer being a typical example of histological and genomic variation. Prior studies of primary prostate cancer tumour genetics revealed extensive inter and intra-patient genomic tumour heterogeneity. Recent advances in machine learning have enabled the inference of ground-truth genomic single-nucleotide and copy number variant status from transcript data.
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January 2025
School of Economics and Management, Tongji University, Shanghai, China.
Centralized drug procurement is a common practice worldwide to relieve the healthcare burden and promote high-quality development in the pharmaceutical industry. However, scholars have not yet reached an agreement on whether centralized procurement can facilitate the innovation activities of pharmaceutical firms. China's centralized volume-based procurement (CVBP) implemented in 2018 provides an ideal quasi-natural experiment to evaluate the effect of centralized procurement on the R&D investment of the firms.
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January 2025
Vocational Training Center, FoShan Open University, FoShan, Guangdong Province, China.
Data classification is an important research direction in machine learning. In order to effectively handle extensive datasets, researchers have introduced diverse classification algorithms. Notably, Kernel Extreme Learning Machine (KELM), as a fast and effective classification method, has received widespread attention.
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