Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic resource allocation for multicast in SDM-EON: time-decoupled dynamic path cross talk and joint weight

With the development of the Internet and the rise of multicast, enabling multicast in a space division multiplexing elastic optical network (SDM-EON) is considered highly necessary. This paper focuses on the dynamic resource allocation for multicast in SDM-EON. First, to ensure service survivability and reduce the complexity of inter-core cross talk computation, we design a path-based strict cross talk avoidance routing, modulation, core, and spectrum allocation (PSCA-RMCSA) algorithm. Then, based on PSCA-RMCSA, a joint weight and PSCA-RMCSA (JW-PSCA-RMCSA) algorithm is proposed to further reduce the blocking probability (BBP) of services. Simulation results show that PSCA-RMCSA reduces the BBP by up to 7.55% and the resource allocation time by up to 88.63%, while JW-PSCA-RMCSA reduces the BBP by up to 10.43% and the resource allocation time by up to 82.11%, when compared to the shortest path tree RMSCA.
Determining the common patterns of the action of nanoparticles of various compositions and structures on physiological and biochemical processes in plants

Technogenic and natural nanomaterials are alien to living systems. The negative effect of nanomaterials may be due to their accumulation in intracellular organelles. The properties of nanoparticles are determined not only by their size, which manifests itself in the activation of a thermodynamic variable, but also by their chemical structure and shape, their ability to aggregate. The effect of metal nanoparticles and oxides of cobalt and titanium on the development and growth of plants has been studied. An important established fact is the ability of oxide nanoparticles, unlike metals themselves, to accumulate in living systems. Transmission electron microscopy, carried out by means of electron microscopic analysis, has revealed interstitial bioaccumulation of nanoparticles of cobalt oxide and titanium oxide in the form of aggregates 80-300 nm in size. If nanoparticles quickly aggregate, they are less dangerous for organisms than single nanoparticles, since a large aggregate of nanoparticles cannot get inside the cell. The rate and dynamics of deposition of nanoparticles of metals and their oxides in water are different. Metal NPs are deposited much more slowly than titanium dioxide. Moreover, the safety of NPs depends on their size and concentration. Biogenic nanoparticles with a size of 35-75 nm have high biological activity, biocompatibility and environmental safety. There is a direct correlation between the energy produced in cells, which is necessary for seed viability, and an increase in the number of protons under the action of metal nanoparticles, which leads to an increase in the permeability of cell membranes and the activity of enzymes and phytohormones.
Pointers in Practical Pharmacology .

1 8 7 N E O N A T A L N E T W O R K T MOST RECENT DATA FROM THE National Institute of Child Health and Human Development Neonatal Research Network revealed that in late-onset sepsis events in very low birth weight neonates proven by blood culture, 70 percent were caused by Gram-positive organisms. Coagulase-negative staphylococci accounted for 68 percent of these Gram-positive infections, and Staphylococcus aureus, Enterococcus species, and Group B Streptococcus were isolated in the remainder.1 Staphylococcus epidermidis continues to be the most common coagulase-negative Staphylococcus species isolated in culture, and S. capitis, S. warneri, S. haemolyticus, and S. hominis have also been implicated in neonatal infection. Multidrug-resistant organisms such as methicillin-resistant S. aureus (MRSA) and the emergence of vancomycin-resistant Enterococcus (VRE) species such as E. faecium and E. faecalis often leave the clinician with few therapeutic options. Heterogeneous resistance or heteroresistance of some organisms, including S. capitis and S. haemolyticus, to vancomycin further complicates neonatal sepsis management.2,3 Linezolid, an oxazolidinone antibiotic, is presented here as a therapeutic option for MRSA, coagulase-negative staphylococci, penicillin-resistant Streptococcus pneumoniae, and VRE.4,5 Growing concern about bacterial resistence in both nosocomial and community-acquired infections is the impetus for the development of new antibiotics such as linezolid.6 Linezolid was approved by the Food and Drug Administration (FDA) in 2000 for the treatment of infections with vancomycin-resistant E. faecium, hospital-acquired pneumonia, and complicated skin and skin structure infection (CSSSI), including those due to MRSA.7 Additionally, the FDA granted approval for use of linezolid for communityacquired pneumonia and uncomplicated skin and skin structure infections.
A Framework for the Initial Occupation of the Americas

Abstract A substantial amount of archaeological data suggests groups with markedly different lithic technologies and subsistence adaptations were widespread throughout both American continents by ∼13–13.5 ka. While there are fewer archaeological sites credibly dated to ∼13.5–15.5 ka, they are sufficient to indicate human foragers occupied at least the Pacific coasts of both continents and probably interior continental locations as well. Assuming it required at least 500–2000 years for initial populations to expand throughout these regions, the first colonists must have begun to spread throughout the Americas south of the Laurentide and Cordilleran ice sheets well before post-glacial global warming at 14.5 ka resulted in the melting of the ice sheets and a rapid rise in sea levels. The European and Asian gateway regions to the Americas were occupied by ∼35 ka, and the initial colonization likely post-dates this interval. Genetic data suggest the first colonists derive from populations that occupied the Altai Mountains area of central Asia sometime before ∼24 ka, but this hypothesis is based on the modern distribution of haplogroups, and the locations of their ancestral populations at the time they diverged from parent Eurasian populations is unknown. The Altai region is equidistant from both the Atlantic and Pacific gateways to the Americas, and the direction from which the first Americans arrived is a matter of speculation. There are no empirical data supporting the genetic-based hypothesis that there was a population “standstill” in interior Beringia for thousands of years. If there was such a standstill, it more likely occurred in coastal refugia or in other areas in northeast Asia. Scattered data suggest the possibility the Americas were initially occupied sometime prior to ∼17 ka, but these need to be confirmed before they are widely accepted. Of the three most viable hypotheses for the peopling of the Americas, a Clovis First – Ice-free Corridor model appears to be dead and buried; an Atlantic Ice Shelf – Solutrean Origin model is untested, with no empirical data either supporting or falsifying the model; a Pacific coastal model may be the most viable explanation for the initial peopling of the Americas, but also has limited empirical support. This model suggests that boat-using foragers, with an adaptation to the shorelines and estuaries of the Pacific Rim, moved around the margins of the northern Pacific into North and South America before expanding into interior continental regions. Such a migration likely occurred during or prior to the last full glacial.
Pinning control for stabilization of coupled stochastic strict‐feedback nonlinear systems

This article introduces a novel class of coupled stochastic strict‐feedback nonlinear systems (CSSFNSs) whose topology is not strongly connected. We are devoted to investigating the stabilization issue of CSSFNSs via pinning control. First, the specific form of controllers is decided through the back‐stepping method and the design of virtual controllers. Second, we find a new method to construct the global Lyapunov function of CSSFNS by employing the Lyapunov function of each stochastic strict‐feedback nonlinear system (SSFNS). Meanwhile, combining Lyapunov method with graph theory, several sufficient conditions to guarantee exponential stability in mean square of CSSFNS are obtained in the form of coefficients‐type criterion. Ultimately, our theoretical results are applied to a class of coupled oscillator systems and a predator‐prey model. Furthermore, the validity and feasibility of the theoretical results are illustrated by some numerical simulations.
Association between green tea and coffee consumption and body iron storage in Japanese men and women: a cross-sectional study from the J-MICC Study Saga

Purpose This study examined the association between daily green tea and coffee consumption and body iron stores among Japanese middle-aged and older adults. Methods This cross-sectional study used data obtained from 2005 to 2007. A total of 10,435 participants were recruited for this study. The participants completed a validated, self-administered food frequency questionnaire on green tea and coffee consumption. A multivariate linear regression analysis was conducted to assess the relationship between green tea and coffee consumption and serum ferritin levels. Additionally, logistic regression analysis was performed to ascertain whether excessive consumption of these beverages was linked to iron deficiency. Results We observed that higher green tea and coffee consumption was associated with lower ferritin levels in men and postmenopausal women, even after adjusting for covariates (all P for trends <0.05). Among premenopausal women, we found an inverse association between green tea consumption and serum ferritin levels, while no significant association was observed for coffee consumption after adjusting for covariates (green tea, P for trend <0.05; coffee, P for trend = 0.08). Notably, the association between these beverages and iron deficiency was found only in postmenopausal women; the odds ratios (95% confidence intervals) for iron deficiency associated with almost None, <1 cup/day, 1–2 cups/day, and ≥ 3 cups/day were 1.00 (reference), 0.78 (0.26–2.49), 1.29 (0.49–3.39), and 1.59 (0.63–4.04) (P for trend = 0.05), respectively, for green tea and 1.00, 1.32 (0.64–2.73), 1.46 (0.68–3.13), and 2.20 (1.06–4.55) (P for trend <0.01), respectively, for coffee. Conclusion Higher green tea and coffee consumption was associated with lower serum ferritin levels in men and postmenopausal women. In premenopausal women, consumption of green tea, but not coffee, was associated with lower serum ferritin levels. However, postmenopausal women who ≥3 cups of coffee demonstrated a higher prevalence of iron deficiency compared to those who consumed almost none.
Formació i experiència, elements clau de l'ocupabilitat

Employability can be understood as the ability to obtain or maintain a job. Today, not only covers basic academic skills, but also a variety of attitudes and habits essential to the functioning of companies with demanding technological and cost This study analyzes the differences with regard to employability among certain demographic variables such as level of education and seniority on the job, in a sample of 690 workers in companies in different sectors and located in the province Alicante. The level of education attained by an individual determines their employability. Young people with higher educational level have less trouble finding work, not only because their higher level of training allows them to opt for greater opportunities and better working conditions but also because they have a higher perceived employability. On the other hand, workers who have just joined a job and those with a work experience of between 5 and 10 years, have a higher perceived employability than workers with more than 10 years with the company.
Image Processing Model for Classification of Stages of Freshness of Bangus using YOLOv8 Algorithm

Ensuring the freshness of perishable goods is of paramount importance. Bangus (milkfish), a popular fish, is known for its delicate taste and texture. Traditional methods of freshness assessment rely on subjective human evaluations, which are time-consuming and prone to error. To address these challenges, this research explores the integration of image processing techniques and deep learning algorithms to develop an automated and objective freshness assessment system. This study presents an image processing model for the classification of stages of freshness of Bangus, using the YOLOv8 algorithm. The proposed model utilizes a dataset of high-resolution images of Bangus at different stages. Preprocessing techniques, including image enhancement and normalization are applied to optimize the data for the YOLOv8 algorithm. As a result, the model was able to achieve a 98.5% mAP and 92.3% precision ratings, respectively. The proposed model revolutionizes freshness assessment by ensuring the preservation of high-quality Bangus. In conclusion, this study introduces an image processing model that employs the YOLOv8 algorithm for the classification of freshness of Bangus. By leveraging deep learning and real-time object detection, the model will provide an efficient and accurate tool for the food industry to ensure the quality and safety of Bangus.
Neurological Complications of Regional Anesthesia: An Updated Review with Clinical Guidelines

The main purpose of this article is to present the neurological complications of regional anesthesia. Our analysis may help clinicians determine when regional anesthesia can be administered safely and in which patients it needs additional precautions. Regional anesthesia has a major role in anesthesia practice. Here, we focus especially on the most common neurological complications: epidural hematoma, post-anesthesia headaches, and peripheral nerve function defect. We investigated risk factors of these states and propose ways of reducing the risks. This work is based on the available literature and the authors’ experience. The research process involved using relevant keywords in various electronic databases, resulting in the selection of 32 articles published between 1989 and 2022. This manuscript provides an overview and analysis of the existing literature related to neurological complications of regional anesthesia. We believe that our article provides up-to-date information on the most common regional anesthesia complications, emphasizing differences concerning children and pregnant women and provides important guidance for clinicians in preparing for and performing anesthesia.
EU Energy, Transport and GHG Emissions: Trends to 2050, Reference Scenario 2013

This report is an update and extension of the previous trend scenarios for development of energy systems taking account of transport and greenhouse gas (GHG) emissions developments. The purpose of this publication is to present the new European Union (EU) Reference scenario 2013. It focuses on energy, transport and climate dimensions of EU developments and the various interactions among policies, including specific sections on emission trends not related to energy. The Reference scenario was elaborated by a consortium led by the National Technical University of Athens (E3MLab) using the PRIMES model for energy and CO2 emission projections, the GAINS model for non-CO2 emission projections and the GLOBIOM-G4M models for LULUCF emission and removal projections. The scenarios are available for the EU and each of its 28 Member States simulating the energy balances and GHG emission trends for future years under current trends and policies as adopted in the Member States by spring 2012.
Workers, adventurers, explorers: uncovering activity patterns in Melbourne

The bulk of transport modelling is based on peak hour travel and focuses on the daily commute. However, this only considers when and where people are, and also ignores the growing travel demand outside peak hours. Understanding the nature of activities people are participating in is also important in order to understand daily patterns and changing behaviour. Using daily activity-travel data provided by 16,000 households and 41,000 individuals in Melbourne and regional Victoria in 2009-10, this paper uses the k-means clustering technique to uncover similar groups of individuals. Both weekday and weekend activities are explored. This is also combined with socio-demographic data to identify different types of behaviours. Although there is still support for a three-category classification on weekdays (work, education, other) and a two-category classification on weekends (home, other), extending the number of clusters to seven and six respectively allows more detail on the larger lotherr clusters. In particular, we can look at the different socio-demographic details dominant in each cluster to determine patterns. More differences between regions were expected, however this was not apparent from the clustering. Some differences, in that those who live in inner Melbourne were more likely to be working or socialising in the evening, were seen, but these were rare. The results contribute to increasing our understanding of how people move around Melbourne, by providing more detail with regard to where and when people are travelling and what people are doing over the course of a day. Future work involves replicating the process for Brisbane and Sydney and comparing the outcomes, leading to better understanding of activity and travel behaviour for Australian cities.
An Insight into the Behaviour of Recalcitrant Seeds by Understanding Their Molecular Changes upon Desiccation and Low Temperature

Systems biology is an interdisciplinary study that involves a combination of expertise in biology, chemistry, mathematics, physics, and engineering to unravel the biology of complex living systems by incorporating multiple kinds of quantitative molecular computations by using sophisticated mathematical models. This interdisciplinary study can be applied to identify and understand molecular and metabolic changes in recalcitrant plant species. Many tropical plants with recalcitrant seeds have difficulty with long-term seed storage and preservation due to their intolerance to desiccation and low temperatures. The aim of this review was to explore and discuss how omics analyses can assist in elucidating molecular responses and metabolic changes of recalcitrant seed species. Genomics and transcriptomics analyses identified genes, such as late embryogenesis abundant (LEA), that were highly expressed after exposure to desiccation and low temperatures. Meanwhile, proteomic analysis using 2D gel electrophoresis, MALDI-TOF MS, or MS/MS analysis revealed dehydrins induced from recalcitrant seeds upon exposure to desiccation and low temperatures. Metabolomic analysis using liquid chromatography–mass spectrometry (LC–MS) and gas chromatography–mass spectrometry (GC–MS) profiling of recalcitrant seeds has discovered metabolites such as sugar and organic acid changes in recalcitrant seeds at different developmental stages. This information may contribute to comprehending the behaviour of recalcitrant seeds and provide insight into how crop management can be improved in terms of seed storage for conservation in order to maintain plant biodiversity.
Cytokine Gene Polymorphisms in Patients with Chronic Inflammatory Demyelinating Polyneuropathy

Innate and adaptive immune responses exert their role in CIDP pathogenesis through cytokine production. Single-nucleotide polymorphisms (SNPs) may alter cytokine gene expression, with a potential influence on the pathogenesis of autoimmune diseases. However, cytokine gene SNPs have not been assessed in CIDP patients yet. We assessed functional SNPs in the genes encoding IL-10 (rs1800896, rs1800871, rs1800872 and rs3024505), IL-6 (rs1800795), TNF (rs1800629 and rs361525), IL-12B (rs3212227), IFN-γ (rs2430561), GM-CSF (rs25882) and IL-17F (rs11465553) in a cohort of 88 CIDP patients and 486 healthy controls (HCs) via qPCR. We found an association of SNP in the IL10 promotor and CIDP occurrence. Major homozygotes (AA) were more frequent in the HCs compared to CIDP patients (p = 0.049), but the GA genotype prevailed among the patients (p = 0.032). A lower frequency of the C allele was observed for rs1800871 and rs1800872 in CIDP patients compared to the HCs (p = 0.048). A higher proportion of A carriers at position -1082 (rs1800896) (presumed to be a low IL-10 producer) was noted in patients with milder disability (low INCAT). All mild-INCAT patients were C carriers for rs1800871 and rs1800872 in IL10 (p = 0.038). Furthermore, the IL6 rs1800795 GG genotype was more frequent in patients (p = 0.049) and the CG heterozygote in the HCs (p = 0.013). Among the CIDP patients, being a G carrier for this SNP was associated with a higher frequency of type 2 diabetes (T2D) compared to being a non-carrier (p = 0.032). Our data indicate a possible association of the IL10 and IL6 SNPs with CIDP, but also with disease severity and T2D occurrence. Given the paucity of CIDP patients, multicentric studies are necessary to draw definite conclusions on these associations.
Topological Data Analysis and Machine Learning Theory

Perhaps the most important idea in applied algebraic topology is persistence. It is a response to the first difficulty that one encounters in attempting to assign topological invariants to statistical data sets: that the topology is not robust and has a sensitive dependence on the length scale at which the data set is being considered. The solution is to calculate the topology (specifically the homology) at all scales simultaneously, and to encode the relationship between the different scales in an algebraic invariant called the persistence diagram. The effective algorithm for doing so was published in 2000 by Edelsbrunner, Letscher and Zomorodian [2]. Topological data analysis would not be possible without this tool. Since then, persistence has been developed and understood quite extensively. Cohen-Steiner, Edelsbrunner and Harer [3] proved the important (and nontrivial) theorem that the persistence diagram is stable under perturbations of the initial data. Zomorodian and Carlsson [7] studied persistence algebraically, identifying the points of the persistence diagram with indecomposable summands of a module over the polynomial ring k[t], the monomial t representing a change of scale by a fixed increment. Generalising this approach using polynomial rings with two or more variables, they showed that the corresponding situation with two or more independent length scales is in some sense algebraically intractable, with no complete descriptive invariants available. Carlsson and de Silva [1] showed that persistence can be made to work over “non-monotone” parameters, in contrast to “monotone” parameters such as length scale; this is known as zigzag persistence. Bubenik and Scott [4] have described and studied persistence in terms of category theory.