Diffusion of Macromolecules across the Nuclear Pore Complex

Nuclear pore complexes (NPCs) are very selective filters that monitor the transport between the cytoplasm and the nucleoplasm. Two models have been suggested for the plug of the NPC. They are (i) it is a reversible hydrogel or (ii) it is a polymer brush. We propose a mesoscopic model for the transport of a protein through the plug, that is general enough to cover both. The protein stretches the plug and creates a local deformation. The bubble so created (prtoein+deformation) executes random walk in the plug. We find that for faster relaxation of the gel, the diffusion of the bubble is greater. Further, on using parameters appropriate for the brush, we find that the diffusion coefficient is much lower. Hence the gel model seems to be more likely explanation for the workings of the plug

Enhanced critical current density in MgB2 superconductor via Si and C coadditions.

In this study, nanosize Silicon and Carbon (Si+C) were reacted with MgB2 in order to enhance the critical current density. The polycrystalline bulks were synthesized by the direct in situ reaction method and their phase formation, crystal structure, and superconducting properties were evaluated. The enhanced relative peak intensity of Mg2Si and MgB4 indicates the formation of a large volume fraction of these two phases with increasing (Si+C) additions. The a-axis lattice parameter shrinks significantly while c-axis increases slightly. The estimated C doping level at B site increases, leading to a degradation of the superconducting transition temperature with increasing (Si+C) additions. By a reaction with (Si+C), the field dependence of critical current density is shown to enhance at both 5 K and 20 K

Ophthalmic Complications of Dengue

A case series suggests that the spectrum of complications in dengue infection is widening

Systematic review of the effect of reflective materials around a phototheraphy unit on biirubin reduction among neonates with physiologic jaundice in developing countries

Objective: To identify the efficacy and safety of the use of various cost-effective reflective materials around phototherapy units to reduce the duration of phototherapy and hasten the reduction of bilirubin among neonates with physiologic jaundice. Data Sources: A systematic review of randomized controlled trials identified from searches in the Cumulative Index to Nursing and Allied Health Literature, Science Direct, Embase, and the Cochrane Library with the use of keywords, MeSH terms, operators, and the review of reference lists of retrieved articles. Study Selection: From a total of 186 studies initially screened, five were eventually included in this analysis. Data Extraction: Two authors independently reviewed each study with a standard template. Review parameters included the quality of each study based on the Physiotherapy Evidence Database scale and the Consolidated Standards of Reporting Trials guidelines. Data Synthesis: All studies were generalizable and were rated as high quality on the Physiotherapy Evidence Database scale; one study scored 8 points, and the other four scored 6 points each. The reflective materials used in these studies included the following: white 100% cotton cloths (one study), white plastic covers (two studies), underpads (one study), and silver fabric cloth (one study). Pooled analysis of three studies indicated that reflective materials significantly reduced the duration of phototherapy with a large effect size of 0.82 (p =.04). Pooled analysis of another three studies indicated that the mean decrease of the total serum bilirubin 4 hours after the initiation of phototherapy was significantly greater when reflective materials were added (mean difference of 11.39 μmol/L, 95% confidence interval [2.26, 20.52 μmol/L], p =.01). Conclusion: The addition of reflective materials to phototherapy units may be therapeutic for neonates with physiologic jaundice

Local genomic adaptation of coral reef-associated microbiomes to gradients of natural variability and anthropogenic stressors

Holobionts are species-specific associations between macro- and microorganisms. On coral reefs, the benthic coverage of coral and algal holobionts varies due to natural and anthropogenic forcings. Different benthic macroorganisms are predicted to have specific microbiomes. In contrast, local environmental factors are predicted to select for specific metabolic pathways in microbes. To reconcile these two predictions, we hypothesized that adaptation of microbiomes to local conditions is facilitated by the horizontal transfer of genes responsible for specific metabolic capabilities. To test this hypothesis, microbial metagenomes were sequenced from 22 coral reefs at 11 Line Islands in the central Pacific that together span a wide range of biogeochemical and anthropogenic influences. Consistent with our hypothesis, the percent cover of major benthic functional groups significantly correlated with particular microbial taxa. Reefs with higher coral cover had a coral microbiome with higher abundances of Alphaproteobacteria (such as Rhodobacterales and Sphingomonadales), whereas microbiomes of algae-dominated reefs had higher abundances of Gammaproteobacteria (such as Alteromonadales, Pseudomonadales, and Vibrionales), Betaproteobacteria, and Bacteriodetes. In contrast to taxa, geography was the strongest predictor of microbial community metabolism. Microbial communities on reefs with higher nutrient availability (e.g., equatorial upwelling zones) were enriched in genes involved in nutrient-related metabolisms (e.g., nitrate and nitrite ammonification, Ton/Tol transport, etc.). On reefs further from the equator, microbes had more genes encoding chlorophyll biosynthesis and photosystems I/II. These results support the hypothesis that core microbiomes are determined by holobiont macroorganisms, and that those core taxa adapt to local conditions by selecting for advantageous metabolic genes

Sustainable bio-economy that delivers the environment-food-energy-water nexus objectives::the current status in Malaysia

Biomass is a promising resource in Malaysia for energy, fuels, and high value-added products. However, regards to biomass value chains, the numerous restrictions and challenges related to the economic and environmental features must be considered. The major concerns regarding the enlargement of biomass plantation is that it requires large amounts of land and environmental resources such as water and soil that arises the danger of creating severe damages to the ecosystem (e.g. deforestation, water pollution, soil depletion etc.). Regarded concerns can be diminished when all aspects associated with palm biomass conversion and utilization linked with environment, food, energy and water (EFEW) nexus to meet the standard requirement and to consider the potential impact on the nexus as a whole. Therefore, it is crucial to understand the detail interactions between all the components in the nexus once intended to look for the best solution to exploit the great potential of biomass. This paper offers an overview regarding the present potential biomass availability for energy production, technology readiness, feasibility study on the techno-economic analyses of the biomass utilization and the impact of this nexus on value chains. The agro-biomass resources potential and land suitability for different crops has been overviewed using satellite imageries and the outcomes of the nexus interactions should be incorporated in developmental policies on biomass. The paper finally discussed an insight of digitization of the agriculture industry as future strategy to modernize agriculture in Malaysia. Hence, this paper provides holistic overview of biomass competitiveness for sustainable bio-economy in Malaysia

Material screening and selection for XENON100

Results of the extensive radioactivity screening campaign to identify materials for the construction of XENON100 are reported. This Dark Matter search experiment is operated underground at Laboratori Nazionali del Gran Sasso (LNGS), Italy. Several ultra sensitive High Purity Germanium detectors (HPGe) have been used for gamma ray spectrometry. Mass spectrometry has been applied for a few low mass plastic samples. Detailed tables with the radioactive contaminations of all screened samples are presented, together with the implications for XENON100.Comment: 8 pages, 1 figur

Machine Learning in Automated Text Categorization

The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last ten years, due to the increased availability of documents in digital form and the ensuing need to organize them. In the research community the dominant approach to this problem is based on machine learning techniques: a general inductive process automatically builds a classifier by learning, from a set of preclassified documents, the characteristics of the categories. The advantages of this approach over the knowledge engineering approach (consisting in the manual definition of a classifier by domain experts) are a very good effectiveness, considerable savings in terms of expert manpower, and straightforward portability to different domains. This survey discusses the main approaches to text categorization that fall within the machine learning paradigm. We will discuss in detail issues pertaining to three different problems, namely document representation, classifier construction, and classifier evaluation.Comment: Accepted for publication on ACM Computing Survey

Developing Concerns: Colorectal Cancer Trends and Human Development Index in South-East Asia

Background: From 2008 to 2020, colorectal cancer (CRC) incidence and mortality increased by approximately 50% and 47%, respectively, in South-East Asia (SEA). The human development index (HDI) influences various lifestyle choices (including physical activity), which may contribute to the prevalence of CRC in this region, distinct from factors related to medical or hereditary history. This study aims to evaluate and demonstrate the impacts and association of HDI with age-standardized rates (ASR) of CRC incidence and mortality in SEA.Methods: Utilizing data from the Global Cancer Observatory (GLOBOCAN) 2020, this study analyzed ASR for CRC incidence and mortality in each SEA country. Concurrently, the HDI for 2021 in these nations was gathered from the Human Development Reports. Using Spearman correlation analysis, we investigated the link between CRC ASR (incidence and mortality) and HDI indicators, including life expectancy at birth, mean years of schooling, and Gross National Income per Capita (2017 Purchasing power parity [PPP$]). The statistical significance threshold was set at P<0.05.Results: The statistical analysis revealed noteworthy positive correlations between HDI and its components (life expectancy at birth, mean years of schooling, and Gross National Income per Capita) with the ASR for incidence. Specifically, Spearman’s rho values were 0.834, 0.755, 0.827, and 0.882, respectively. Similarly, significant correlations were observed between HDI and its constituents with ASR for mortality, with corresponding values of 0.720, 0.755, 0.718, and 0.782 at a 5% significance level.Conclusion: Countries with a high HDI exhibit a dual impact influence by fostering economic growth while potentially posing challenges to public health. Despite very high HDI nations demonstrating successful CRC screening programs that lower both incidence and mortality rates, various SEA countries face impediments in implementing such screenings