Miracle-dz/UniFAR-FTUs huggingface dataset:
A novel Energy-Saving Management mechanism in cellular networks

When regional traffic is low, one key issue of ESM (Energy-Saving Management) in cellular networks is how to sleep several BSs (Base Stations) and meanwhile guaranteeing regional coverage and service quality. Current ESM methods lack efficient regional coverage compensation method and accurate evaluation model for ESM algorithms. This paper proposes a novel ESM mechanism to resolve these problems. The mechanism includes selection of sleeping BSs based on TP (Trigonal Pair), a regional energy saving algorithm corresponding to TP through adjustments of down tilt and transmit power, and an integrated assessment model based on dynamic traffic. We then simulate the mechanism in WCDMA/HSPA network under urban scenarios with multiple services. Results show that with acceptable coverage and service quality, the ESM mechanism can save at least 34.83% of energy consumption for one sleeping BS. And it can still obtain 18.01% and 10.01% energy-saving gains during sleeping time and the entire simulation time, which takes on much practical significance.
A study of the origin and uses of the ordered weighted geometric operator in multicriteria decision making

The ordered weighted geometric (OWG) operator is an aggregation operator that is based on the ordered weighted averaging (OWA) operator and the geometric mean. Its application in multicriteria decision making (MCDM) under multiplicative preference relations has been presented. Some families of OWG operators have been defined. In this article, we present the origin of the OWG operator and we review its relationship to the OWA operator in MCDM models. We show a study of its use in multiplicative decision‐making models by providing the conditions under which reciprocity and consistency properties are maintained in the aggregation of multiplicative preference relations performed in the selection process. © 2003 Wiley Periodicals, Inc.
An investigation of the long-term bioactivity of endogenous growth factor in OASIS Wound Matrix.

OBJECTIVE To examine the retention and bioactivity of endogenous FGF-2 after prolonged storage within a complex matrix. FGF-2 is a growth factor found in OASIS Wound Matrix, a purified collagen wound-care product containing other endogenous components of the extracellular matrix. METHOD FGF-2 content was measured by ELISA. FGF-2 activity was measured using an in vitro bioassay in rat pheochromocytoma (PC12) cells. RESULTS FGF-2 content ranged from 15.3 ng/g to 84.3 ng/g. The bioassay showed that the FGF-2 retained in the matrix was present in a bioactive form able to cause differentiation of cells in culture. CONCLUSION The results demonstrate that wound-care products can be developed to retain their bioactivity over time and that inherently unstable purified growth factors are preserved if stored as bound factors within their natural extracellular matrix. The results also suggest that use of acellular matrices containing active growth factors would have advantages in terms of simplicity and cost over purified recombinant growth factor therapies.
Evidence for a Common Mechanism of SIRT1 Regulation by Allosteric Activators

It's a SIRT Intense attention has focused on the SIRT1 deacetylase as a possible target for anti-aging drugs. But unexpected complications in assays of SIRT1 activity have made it unclear whether compounds thought to be sirtuin-activating compounds (STACs) are really direct regulators of the enzyme. Further exploration of these effects by Hubbard et al. (p. 1216; see the Perspective by Yuan and Marmorstein) revealed that interaction of SIRT1 with certain substrates allows activation of SIRT1 by STACs and identified critical amino acids in SIRT1 required for these effects. Mouse myoblasts reconstituted with SIRT1 mutated at this amino acid lost their responsiveness to STACs. An interaction of the deacetylase SIRT1 with its substrate offers a possible explanation for some effects on aging. [Also see Perspective by Yuan and Marmorstein] A molecule that treats multiple age-related diseases would have a major impact on global health and economics. The SIRT1 deacetylase has drawn attention in this regard as a target for drug design. Yet controversy exists around the mechanism of sirtuin-activating compounds (STACs). We found that specific hydrophobic motifs found in SIRT1 substrates such as PGC-1α and FOXO3a facilitate SIRT1 activation by STACs. A single amino acid in SIRT1, Glu230, located in a structured N-terminal domain, was critical for activation by all previously reported STAC scaffolds and a new class of chemically distinct activators. In primary cells reconstituted with activation-defective SIRT1, the metabolic effects of STACs were blocked. Thus, SIRT1 can be directly activated through an allosteric mechanism common to chemically diverse STACs.
Exponential Family Hybrid Semi-Supervised Learning

We present an approach to semi-supervised learning based on an exponential family characterization. Our approach generalizes previous work on coupled priors for hybrid generative/discriminative models. Our model is more flexible and natural than previous approaches. Experimental results on several data sets show that our approach also performs better in practice.
Clay Mineral Suites in Submarine Mud Volcanoes in the Kumano Forearc Basin, Nankai Trough: Constraints on the Origin of Mud Volcano Sediments

Clay mineralogy is an important characteristic of mud volcano sediments. This study determined the clay mineral compositions of sediment from two submarine mud volcanoes in the Kumano forearc basin, Nankai Trough, by X-ray diffraction analysis. Similar compositions dominated by smectite in the two mud volcanoes indicate that the mud volcanoes in the basin are rooted in the same source sequence. These clay mineral compositions differed from those in Pleistocene basin sediment, suggesting that the mud volcano sediment originated beneath the Pleistocene sediment. The illite content in the illite–smectite mixed layer averaged 32% in the mud volcano sediment, which implies that the sediment experienced temperatures above 60 °C that promoted the smectite-to-illite transformation. However, porewater extracted from the mud volcano sediment had Cl‒ concentrations roughly half that of seawater and proportional enrichment in 18O and depletion in D, indicating that dehydration reactions of clay minerals had previously occurred in a deeply buried sedimentary layer. The smectite and illite contents (<60%) in the clay-size fraction rule out in situ smectite dewatering as the cause of the dilution of Cl‒ in porewater. Thus, fluids derived from clay dewatering must have originated from deeper than the source of the mud volcano sediment.
‘TIME’: A Web Application for Obtaining Insights into Microbial Ecology Using Longitudinal Microbiome Data

Realization of the importance of microbiome studies, coupled with the decreasing sequencing cost, has led to the exponential growth of microbiome data. A number of these microbiome studies have focused on understanding changes in the microbial community over time. Such longitudinal microbiome studies have the potential to offer unique insights pertaining to the microbial social networks as well as their responses to perturbations. In this communication, we introduce a web based framework called ‘TIME’ (Temporal Insights into Microbial Ecology’), developed specifically to obtain meaningful insights from microbiome time series data. The TIME web-server is designed to accept a wide range of popular formats as input with options to preprocess and filter the data. Multiple samples, defined by a series of longitudinal time points along with their metadata information, can be compared in order to interactively visualize the temporal variations. In addition to standard microbiome data analytics, the web server implements popular time series analysis methods like Dynamic time warping, Granger causality and Dickey Fuller test to generate interactive layouts for facilitating easy biological inferences. Apart from this, a new metric for comparing metagenomic time series data has been introduced to effectively visualize the similarities/differences in the trends of the resident microbial groups. Augmenting the visualizations with the stationarity information pertaining to the microbial groups is utilized to predict the microbial competition as well as community structure. Additionally, the ‘causality graph analysis’ module incorporated in TIME allows predicting taxa that might have a higher influence on community structure in different conditions. TIME also allows users to easily identify potential taxonomic markers from a longitudinal microbiome analysis. We illustrate the utility of the web-server features on a few published time series microbiome data and demonstrate the ease with which it can be used to perform complex analysis.
Energy-Efficient Reverse Skyline Query Processing over Wireless Sensor Networks

Reverse skyline query plays an important role in many sensing applications, such as environmental monitoring, habitat monitoring, and battlefield monitoring. Due to the limited power supplies of wireless sensor nodes, the existing centralized approaches, which do not consider energy efficiency, cannot be directly applied to the distributed sensor environment. In this paper, we investigate how to process reverse skyline queries energy efficiently in wireless sensor networks. Initially, we theoretically analyzed the properties of reverse skyline query and proposed a skyband-based approach to tackle the problem of reverse skyline query answering over wireless sensor networks. Then, an energy-efficient approach is proposed to minimize the communication cost among sensor nodes of evaluating range reverse skyline query. Moreover, optimization mechanisms to improve the performance of multiple reverse skylines are also discussed. Extensive experiments on both real-world data and synthetic data have demonstrated the efficiency and effectiveness of our proposed approaches with various experimental settings.
Investment in Productivity and the Long-Run Effect of Financial Crisis on Output

This paper analyzes the channels through which financial crises exert long-term negative effects on output. Recent models suggest that a shortfall in productivity-enhancing investments temporarily slows technological progress, creating a gap between pre-crisis trend and actual GDP. This hypothesis is tested using a linked lender-borrower dataset on 519 U.S. corporations responsible for 54% of industrial research and development. Exploiting quasi-experimental variation in firm-level exposure to the 2008-9 financial crisis, I show that tight credit reduced investments in productivity-enhancement, and has significantly slowed down output growth between 2010 and 2015. A partial-equilibrium aggregation exercise suggests output would be 12% higher today if productivity-enhancing investments had grown at pre-crisis rates.
Assessing Psychopathic Personality Traits With the MMPI–2

In this study, we examined the utility of the MMPI–2 (Butcher et al., 2001) in assessing psychopathic personality traits. We explored whether MMPI–2 scales that measure affective and interpersonal traits add to the instrument's social deviance measures in assessing global psychopathy and its two facets. Our study of 281 male and female college students indicates that the MMPI–2 Social Deviance scales (e.g., Clinical Scales 4 and 9, ASP) predict substantial variance in the social deviance factor and affiliated subscales of the Psychopathic Personality Inventory (PPI; Lilienfeld & Andrews, 1996), whereas MMPI–2 measures of affective and interpersonal functioning predict substantial variance in the affective-interpersonal PPI factor. In addition, the results of two regression models indicate that the Restructured Clinical scales provide the most parsimonious assessment of psychopathic personality traits.
Delayed Puberty Associated with Inflammatory Bowel Disease

Delayed puberty frequently complicates the clinical course of young patients with inflammatory bowel disease, more often in Crohn's disease than ulcerative colitis. Undernutrition has been thought to be the main reason for delayed puberty in these patients. However, puberty may be delayed despite a normal nutritional status. Observations in patients with inflammatory bowel disease and in rats with experimental colitis suggest that inflammatory mediators may have a direct adverse influence, independent of undernutrition, on the onset and progression of puberty. Serum androgens are consistently reported to be reduced in patients with delayed puberty and inflammatory bowel disease. This reduction is not necessarily secondary to a reduction in gonadotrophins as serum concentrations of gonadotrophins have been reported to be normal or even increased in some studies. Management of delayed puberty involves calorie supplements to correct undernutrition and treatment of inflammation. Observations in boys with delayed puberty and controlled studies in experimental models of intestinal inflammation suggest that testosterone therapy can accelerate puberty.
Graph Stream Summarization: From Big Bang to Big Crunch

A graph stream, which refers to the graph with edges being updated sequentially in a form of a stream, has important applications in cyber security and social networks. Due to the sheer volume and highly dynamic nature of graph streams, the practical way of handling them is by summarization. Given a graph stream G, directed or undirected, the problem of graph stream summarization is to summarize G as SG with a much smaller (sublinear) space, linear construction time and constant maintenance cost for each edge update, such that SG allows many queries over G to be approximately conducted efficiently. The widely used practice of summarizing data streams is to treat each stream element independently by e.g., hash- or sample-based methods, without maintaining the connections (or relationships) between elements. Hence, existing methods can only solve ad-hoc problems, without supporting diversified and complicated analytics over graph streams. We present TCM, a novel generalized graph stream summary. Given an incoming edge, it summarizes both node and edge information in constant time. Consequently, the summary forms a graphical sketch where edges capture the connections inside elements, and nodes maintain relationships across elements. We discuss a wide range of supported queries and establish some error bounds. In addition, we experimentally show that TCM can effectively and efficiently support analytics over graph streams, which demonstrates its potential to start a new line of research and applications in graph stream management.
Curcumin inhibits human retinal pigment epithelial cell proliferation

Proliferative vitreoretinopathy (PVR) is a common cause of intraoperative failure following retinal reattachment surgery and is mediated in part through the migration, de-differentiation and proliferation of retinal pigment epithelial (RPE) cells. Given the cytotoxic effects of curcumin on epithelial and endothelial cells, in this study, we assessed the effects of curcumin on human RPE (hRPE) cell proliferation. WST-1 analysis revealed that curcumin significantly inhibited primary hRPE cell proliferation in a dose- and time-dependent manner (P<0.001) with the greatest inhibition observed at the dose of 15 μg/ml curcumin. Flow cytometric analysis indicated that the cytotoxic effects of curcumin on hRPE cell proliferation were mediated by cell cycle arrest at the G0/G1 phase and the induction of apoptosis (both P<0.001), which was confirmed by ultrastructural analysis using transmission electron microscopy. Furthermore, western blot analysis revealed that curcumin induced p53 and p21WAF1/CIP1 expression with a concomitant decrease in proliferating cell nuclear antigen protein levels (P<0.05). Curcumin effectively inhibited primary hRPE cell proliferation, which may be mediated by the p53 pathway. Further in vivo studies are required in order to fully explore the therapeutic potential of curcumin for PVR.
Cystic Echinococcosis: Chronic, Complex, and Still Neglected

The authors have declared that no competing interests exist. The Lima workshop was partially funded by the Peruvian National Institute of Health and FIC-NIH training grant TW001140 (to HG). Thomas Junghanss received research funds from NIAID-NIH (grant R34AI091427). HG is now a Wellcome Trust International Senior Research Fellow. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
The value of bacteriology and serology in the diagnosis of necrotizing fasciitis

Fourteen patients with necrotizing fasciitis are described. In thirteen the cause was Streptococcus pyogenes [Group A beta haemolytic streptococcus (BHS)]; in the fourteenth, Staphylococcus aureus was responsible. In the acute fulminating form of the disease, BHS can be cultured from the affected tissues. In the less acute form, particularly when the patient has been previously treated with antibiotics, other bacteria colonize the tissues and the BHS cannot be isolated. Serological evidence of infection with Streptococcus pyogenes can be ascertained in all such patients by finding high levels of anti‐desoxyribonuclease B and anti‐hyaluronidase. Measurement of the anti‐streptolysin O titre is not helpful. Once the diagnosis is made, surgical removal of all necrotic tissue is still the treatment of choice.
Application of a Dot Blot Hybridization Platform to Assess Streptococcus uberis Population Structure in Dairy Herds

Streptococcus uberis is considered one of the most important pathogens associated with bovine mastitis. While traditionally acknowledged as an environmental pathogen, S. uberis has been shown to adopt a contagious epidemiological pattern in several dairy herds. Since different control strategies are employed depending on the mode of transmission, in-depth studies of S. uberis populations are essential to determine the best practices to control this pathogen. In this work, we optimized and validated a dot blot platform, combined with automatic image analysis, to rapidly assess the population structure of infective S. uberis, and evaluated its efficiency when compared to multilocus sequence analysis (MLSA) genotyping. Two dairy herds with prevalent S. uberis infections were followed in a 6 month period, in order to collect and characterize isolates from cows with persistent infections. These herds, located in Portugal (Barcelos and Maia regions), had similar management practices, with the herd from Barcelos being smaller and having a better milking parlor management, since infected cow segregation was immediate. A total of 54 S. uberis isolates were obtained from 24 different cows from the two herds. To overcome operator-dependent analysis of the dot blots and increase the technique's consistency and reliability, the hybridization signals were converted into probability values, with average probabilities higher than 0.5 being considered positive results. These data allowed to confirm the isolates' identity as S. uberis using taxa-specific markers and to determine the presence of virulence- and antibiotic resistance-related genes. In addition, MLSA allowed to disclose the most prevalent S. uberis clonal lineages in both herds. Seven different clusters were identified, with Barcelos showing a high clonal diversity and Maia a dominant lineage infecting most cows, suggesting distinct epidemiological patterns, with S. uberis displaying an environmental or contagious transmission pattern depending on the herd. Overall, this work showed the utility of dot blot and MLSA to characterize population structure and epidemiological patterns of mastitis-causing S. uberis. This approach allowed to disclose prevalent virulence patterns and clonal lineages of S. uberis in two distinct herds, and gain insights on the impact of herd management practices on pathogen population structure.
IPv6-specific misconfigurations in the DNS

With the Internet transitioning from IPv4 to IPv6, the number of IPv6-specific DNS records (AAAA) increases. Misconfigurations in these records often go unnoticed, as most systems are provided with connectivity over both IPv4 and IPv6, and automatically fall back to IPv4 in case of connection problems. With IPv6-only networks on the rise, such misconfigurations result in servers or services rendered unreachable. Using long-term active DNS measurements over multiple zones, we qualify and quantify these IPv6-specific misconfigurations. Applying pattern matching on AAAA records revealed which configuration mistakes occur most, the distribution of faulty records per DNS operator, and how these numbers evolved over time. We show that more than 97% of invalid records can be categorized into one of our ten defined main configuration mistakes. Furthermore, we show that while the number and ratio of invalid records decreased over the last two years, the number of DNS operators with at least one faulty AAAA record increased. This emphasizes the need for easily applicable checks in DNS management systems, for which we provide recommendations in the conclusions of this work.
Comparative uncertainty, belief functions and accepted beliefs

This paper relates comparative belief structures and a general view of belief management in the setting of deductively closed logical representations of accepted beliefs. We show that the range of compatibility between the classical deductive closure and uncertain reasoning covers precisely the nonmonotonic 'preferential' inference system of Kraus, Lehmann and Magidor and nothing else. In terms of uncertain reasoning any possibility or necessity measure gives birth to a structure of accepted beliefs. The classes of probability functions and of Shafer's belief functions which yield belief sets prove to be very special ones.
Cell-density-dependent expression of Borrelia burgdorferi lipoproteins in vitro

Previously, we had identified non-OspA-OspB surface proteins of Borrelia burgdorferi that are targeted by the antibody-dependent complement-mediated killing mechanism. Here we demonstrate by Western blotting that one of these proteins, P35, is upregulated at the onset of stationary phase in vitro. Northern analysis revealed that the upregulation of P35 is at the level of transcription. In addition, the expression of an open reading frame (ORF) located downstream of the p35 gene was found to be regulated in the same fashion as that of P35. This ORF encodes a 7.5-kDa lipoprotein. The transcriptional start sites for both of these genes were determined, to aid in the identification of the putative promoter regions. Additional sequencing of the 5' flanking region of the p35 gene revealed a region of dyad symmetry 52 bp upstream of the transcription start site. Southern analysis demonstrated that the expression of these genes was not due to a cell-density-dependent rearrangement in the genome of B. burgdorferi. These findings provide an in vitro model for studying mechanisms of gene regulation in B. burgdorferi.