Miracle-dz/UniFAR-FTUs huggingface dataset:
An Multicast Routing Based on Ant Colony Optimization Algorithm for DTN

Delay tolerant networks (DTNs) are a class of emerging networks that experience frequent and long-duration partitions. Multicast supports the distribution of data to a group of users, a service needed for many potential DTN applications. due to the unique characteristic of frequent partitioning in DTNs, multicasting in DTNs is a considerably different and challenging problem. In this paper, The mathematics model for DTNs is established, and the ant colony optimization algorithm introduce to solve the multicast problem.A multicast routing based on ant colony optimization algorithm-MRACO is proposed in this paper.Simulation results show that our multicast routing MRACO can not only have a higher delivery ratio and lower delay, but also have a lower data forwarding cost, in terms of the number of relays used.
Journal of Emerging Trends in Computing and Information Sciences Pattern Classification for Incomplete Data Using Ppca and Knn

Pattern classification has been successfully applied in many problem domains, such as biometric recognition, document classification and medical diagnosis. Missing data or unknown data is a common problem in data quality of a pattern classification. Such missing data are generally ignored or simply imputed in pattern classification, which will affect the performance of the classification. We applied two methods K-nearest neighbour and probabilistic principal component analysis to impute the missing values of patterns. In the K-nearest neighbour method, the missing data is imputed using values from K most similar cases. In probabilistic principal component analysis, the missing values can be imputed through probability mode of PCA. The aim of this work is to analyze and improve the imputation of missing data in pattern classification tasks. We use discriminant analysis and the back propagation algorithm to perform the classification of imputed patterns using artificial neural networks. The algorithm is applied on Iris dataset and Shuttle Landing Control dataset. The performances of classification of imputed data are better than ignored missing data.
A review on approaches in service level agreement in cloud computing environment

Cloud computing is recently has emerged as a pattern for hosting and service delivery on internet and has rapidly become a hot topic in academic and commercial environments and has attracted many people. Nowadays, we are encountering various cloud service providers. One of important aspects in cloud computing is service level agreement which is a contract involving service agreement between client and service computer. According to this contract, violation in commitments mentioned in agreement by service provider will be punished; therefore, service providers should have solutions to reduce these conflictions in service level and costs. Regarding importance of this topic, this article deals with approaches conducted in service level agreement and its comparison regarding improved parameters, simulation or implementation environment, workload and application.
Pervasive Computing Integration on Healthcare Environments

Large number of heterogeneous medical devices integrates Intensive Care Units (ICUs) with different technologies to provide a variety of healthcare services. Recent researches have proposed platforms and architectures that integrate multiple healthcare services in different equipment to provide an environment of intelligent routing and monitoring of vital signals, in which the patient’s welfare and health are the main requirements. Pervasive computing enables evolving the concept of autonomous systems that could possibly integrate varied technologies and devices considering the environmental context to perform a set of rule-based actions and message exchanging. This work discusses relevant challenges and requirements for integrating pervasive computing on healthcare environments such as ICUs. We present a requirements gathering about integration of devices, technologies, solutions, and approaches towards to a modular logical architecture to efficiently integrate healthcare services.
NavS: Smartphones based indoor navigation design

In this paper, we explore a novel navigation system, NavS, which could work without the help of indoor map or floor plan and provide indoor navigation services that can be easily deployed. Smartphone records Wi-Fi's data during user's walking. If the user needs to back, NavS system leverages the Integral Mechanism which can process the current measured data to lead the user back to the start point. Experiments show that NavS system can effectively guide the user on the correct way. Notably, the mean error between the realistic path and guidance path is within 7 steps.
STK31 Is a Cell-Cycle Regulated Protein That Contributes to the Tumorigenicity of Epithelial Cancer Cells

Serine/threonine kinase 31 (STK31) is one of the novel cancer/testis antigens for which its biological functions remain largely unclear. Here, we demonstrate that STK31 is overexpressed in many human colorectal cancer cell lines and tissues. STK31 co-localizes with pericentrin in the centrosomal region throughout all phases of the cell cycle. Interestingly, when cells undergo mitosis, STK31 also localizes to the centromeres, central spindle, and midbody. This localization behavior is similar to that of chromosomal passenger proteins, which are known to be the important players of the spindle assembly checkpoint. The expression of STK31 is cell cycle-dependent through the regulation of a putative D-box near its C-terminal region. Ectopically-expressed STK31-GFP increases cell migration and invasive ability without altering the proliferation rate of cancer cells, whereas the knockdown expression of endogenous STK31 by lentivirus-derived shRNA results in microtubule assembly defects that prolong the duration of mitosis and lead to apoptosis. Taken together, our results suggest that the aberrant expression of STK31 contributes to tumorigenicity in somatic cancer cells. STK31 might therefore act as a potential therapeutic target in human somatic cancers.
Scattering by magnetic fields

Consider the scattering amplitude s(ω, ω′;λ), ω, ω′ ∈ Sd−1, λ > 0, corresponding to an arbitrary short-range magnetic field B(x), x ∈ Rd. This is a smooth function of ω and ω′ away from the diagonal ω = ω′ but it may be singular on the diagonal. If d = 2, then the singular part of the scattering amplitude (for example, in the transversal gauge) is a linear combination of the Dirac δ-function and of a singular denominator. Such structure is typical for long-range magnetic scattering. We refer to this phenomenon as to the long-range Aharonov-Bohm effect. On the contrary, for d = 3 scattering is essentially of short-range nature although, for example, the magnetic potential A(tr)(x) such that curlA(tr)(x) = B(x) and 〈A(tr)(x), x〉 = 0 decays at infinity as |x|−1 only. To be more precise, we show that, up to the diagonal Dirac function (times an explicit function of ω), the scattering amplitude has only a weak singularity in the forward direction ω = ω′. Our approach relies on a construction in the dimension d = 3 of a short-range magnetic potential A(x) corresponding to a given short-range magnetic field B(x).
AKABANE AND SCHMALLENBERG DISEASES: SIMILARITIES AND DIFFERENCES

Schmallenberg and Akabane diseases are zoogenous arbovirus infections of bovine cattle, sheep, and goats. Significant economic loss caused by these viruses result from lower milk yield, high incidence of miscarriage, still birth, and neonatal mortality in infected livestock. Causative agents of both diseases belong to serogroup Simbu of the genus Orthobunyavirus the family Bunyaviridae. Schmallenberg and Akabane viruses form spherical virions with diameters of 90-100 nm (1-3). Unlike other enveloped negative-strand RNA viruses, Bunyaviridae have no membrane or matrix protein, and nucleocapsid protein adjoins to the inner surface of the lipid bilayer (Fig. 1) (2-5). The remarkable fact is that viruses of this serogroup have never occurred in Europe (3).
Power Flow Control Scheme for Wind Energy Conversion System using FACTS Controller

Injection of wind power into an electric grid affects the power quality. The performance of the wind turbine and thereby power quality are determined on the basis of measurements and the norms followed according to the guideline specified in International Electrotechnical Commission standard, IEC-61400. The influence of the wind turbine in the grid system concerning the power quality measurements are the active power, reactive power, variation of voltage, flicker, harmonics, and electrical behavior of switching operation. The paper study demonstrates the power quality problem due to installation of wind turbine with the grid. In this proposed scheme STATIC COMPENSATOR (STATCOM) is connected at a point of common coupling to mitigate the power quality issues. The STATCOM control scheme for the grid connected wind energy generation system is simulated using MATLAB/SIMULINK in power system block set. Index terms – International Electro-technical Commission (IEC), power quality, wind generating system (WGS).
FocalScan: Scanning for altered genes in cancer based on coordinated DNA and RNA change

Somatic genomic copy-number alterations can lead to transcriptional activation or inactivation of tumor driver or suppressor genes, contributing to the malignant properties of cancer cells. Selection for such events may manifest as recurrent amplifications or deletions of size-limited (focal) regions. While methods have been developed to identify such focal regions, finding the exact targeted genes remains a challenge. Algorithms are also available that integrate copy number and RNA expression data, to aid in identifying individual targeted genes, but specificity is lacking. Here, we describe FocalScan, a tool designed to simultaneously uncover patterns of focal copy number alteration and coordinated expression change, thus combining both principles. The method outputs a ranking of tentative cancer drivers or suppressors. FocalScan works with RNA-seq data, and unlike other tools it can scan the genome unaided by a gene annotation, enabling identification of novel putatively functional elements including lncRNAs. Application on a breast cancer data set suggests considerably better performance than other DNA/RNA integration tools.
Health-related quality of life in transgender adolescents: Associations with body image and emotional and behavioral problems

ABSTRACT Background: Transgender adolescents who apply for treatment often experience a marked increase in body-related distress when entering puberty, accompanied by internalizing problems and poor peer relations. Although adolescence is a time of considerable psychosocial and physical change, generally associated with a decline in health-related quality of life (HRQoL), research on HRQoL in transgender youth and possible predictors is sparse. This study thus aims to explore the predictive value of body image factors and emotional and behavioral problems for HRQoL. Methods: This cross-sectional one-group observational study was carried out at the Child and Adolescent psychiatric department (Gender Identity Service) in Hamburg, Germany. A sample of n = 126 (103 trans male and 23 trans female) adolescents, who were referred for counseling and/or treatment completed different standardized instruments before undergoing any sort of treatment. Firstly, five dimensions of HRQoL were explored in transgender adolescents and secondly, a linear regression model was applied to assess the impact of body image and emotional and behavioral problems on overall HRQoL. Results: HRQoL was generally impaired in transgender adolescents compared to norm scores, especially with regard to aspects of psychological and physical well-being. Linear regression analysis revealed that greater internalizing problems and less body satisfaction significantly predicted lower HRQoL outcomes. Conclusions: Impaired HRQoL may be explained by high degrees of internalizing problems and low body satisfaction. Thus, one important aim of mental health professionals working with youth should be to provide appropriate treatment and counseling options that may contribute to overall well-being in the long-term.
Reference Sharing Mechanism for Watermark Self-Embedding

This paper proposes two novel self-embedding watermarking schemes based upon a reference sharing mechanism, in which the watermark to be embedded is a reference derived from the original principal content in different regions and shared by these regions for content restoration. After identifying tampered blocks, both the reference data and the original content in the reserved area are used to recover the principal content in the tampered area. By using the first scheme, the original data in five most significant bit layers of a cover image can be recovered and the original watermarked image can also be retrieved when the content replacement is not too extensive. In the second scheme, the host content is decomposed into three levels, and the reference sharing methods with different restoration capabilities are employed to protect the data at different levels. Therefore, the lower the tampering rate, the more levels of content data are recovered, and the better the quality of restored results.
A Multi-Theory Approach to Managing Knowledge Assets: The Case of Complex Professional Human Service Organizations

ABSTRACT A multi-theory framework is offered for guiding managerial decision making in complex professional human service organizations; a growing segment of the economy for which the ability to proactively and dynamically manage knowledge assets is naturally critical to performance. Following a call for greater theoretical integration, this framework synthesizes essential and complimentary elements of three theoretical domains. It combines Transaction Economics’ focus on the appropriate procurement of knowledge assets, with Knowledge Management’s focus on how to dynamically unleash the potential of those assets, and Contingency Thinking’s focus on how to structurally harness and direct that potential. Two key “bridging constructs” emerge offering useful insights both for theory and practice: 1) learning systems as a key element of functional design for managing knowledge assets, and 2) learning costs as a key factor in managing the economic structure of knowledge assets. We apply our integrated framework to two professional human services sectors – business education and health service delivery-- and discuss broader implications for research and practice.
SOMBRERO, BEARSKIN1, and BEARSKIN2 Regulate Root Cap Maturation in Arabidopsis[C][W]

This work demonstrates that three closely related Arabidopsis transcription factors are involved in activating the specific modifications to cell walls that are required for a fully functional root cap. These transcription factors share a generic transcriptional activity with other closely related proteins, which are involved in different aspects of cell wall modification. The root cap has a central role in root growth, determining the growth trajectory and facilitating penetration into the soil. Root cap cells have specialized functions and morphologies, and border cells are released into the rhizosphere by specific cell wall modifications. Here, we demonstrate that the cellular maturation of root cap is redundantly regulated by three genes, SOMBRERO (SMB), BEARSKIN1 (BRN1), and BRN2, which are members of the Class IIB NAC transcription factor family, together with the VASCULAR NAC DOMAIN (VND) and NAC SECONDARY WALL THICKENING PROMOTING FACTOR (NST) genes that regulate secondary cell wall synthesis in specialized cell types. Lateral cap cells in smb-3 mutants continue to divide and fail to detach from the root, phenotypes that are independent of FEZ upregulation in smb-3. In brn1-1 brn2-1 double mutants, columella cells fail to detach, while in triple mutants, cells fail to mature in all parts of the cap. This complex genetic redundancy involves differences in expression, protein activity, and target specificity. All three genes have very similar overexpression phenotypes to the VND/NST genes, indicating that members of this family are largely functionally equivalent. Our results suggest that Class IIB NAC proteins regulate cell maturation in cells that undergo terminal differentiation with strong cell wall modifications.
Removing Code Duplication with Roles

The existence of replicated code in a system makes that system harder to maintain and evolve. To remove replicated code the usual way is to use refactorings. However there are always clones that cannot be removed by refactorings alone. Some are due to lack of composition mechanisms in the underlying programming language. We propose the use of roles to remove such clones since roles provide a finer degree of composition. We sketch four role refactorings to remove code clones and apply them in a case study using the JHotDraw framework. Results show that roles have a positive impact in clone reduction as they were able to remove almost all clones traditional refactorings could not.
Advantages of using multi-agent principles in FAIL - SAFE UAV system design

In this paper, the possibility of using multi-agent systems principles in design of universal Fail - safe UAV structure is presented. The advantages of this approach and a particular system design are introduced. The benefits of multi-agent approach to design the UAV system are related to its desired properties, which is fail safe feature, meaning the resistance of the system to software and hardware failures. There is also proposed a system's ability to deal with emergency situations and in eventuality of crash, minimal damage caused by accidents. In this context, the ability of “autonomous controlled accident” is described.
Visual tracking with double-layer particle filter

Particle Filter is one of the most widely used algorithm in object tracking, because it can handle the nonlinear and/or non-Gaussian problems. However due to loss of diversity among particles, its tracking performance is not ideal. In order to solve this problem, in this paper, a novel double-layer particle filter is proposed. The particles are divided into two layers: the parent particles and the child particles. The child particles are used to remember the latest state of the parent particles and optimize the parent particles. In addition, only the parent particles are updated during re-sampling while the child particles remain unchanged, which maintains the diversity of the particles to some extent. Finally, the parent particles are used to estimate the state of the object. Experimental results show that the tracking performance of the proposed double-layer particle filter outperforms that of the basic particle filter.
Cloud based solution enabling collaborative supply network optimization for an original equipment manufacturer

In this paper, a cloud-based collaborative manufacturing network platform is proposed. The platform enables supply network partners situated in different geographic locations to have access to the OEM's planning data allowing to carry out purchase, production and deliver planning activities simultaneously and collaboratively, on any operating system. The proposed solution integrates the OEMs' legacy systems and IoT devices, offering optimization functionality and collaboration tools. The benefit of the presented approach is that there is no need for the OEMs to invest in complex IT infrastructures. This results in substantial saving in cost, production management time and, also, significant improvement in OEMs' agility to changes in a supply network environment.
Kernel latent semantic analysis using an information retrieval based kernel

Hidden term relationships can be found within a document collection using Latent semantic analysis (LSA) and can be used to assist in information retrieval. LSA uses the inner product as its similarity function, which unfortunately introduces bias due to document length and term rarity into the term relationships. In this article, we present the novel kernel based LSA method, which uses separate document and query kernel functions to compute document and query similarities, rather than the inner product. We show that by providing an appropriate kernel function, we are able to provide a better fit of our data and hence produce more effective term relationships.
EFFECT OF NATURAL BIODEGRADABLE AND SYNTHETIC POLYMER FOR GASTRIC DISEASE BY FLOATING MICROSPHERES

ABSTRACT The present study involves preparation and evaluati on of floating microspheres with famotidine as model drug for prolongation of gastri c residence time. The microspheres were prepared by the solvent evaporation method using po lymers acrycoat S100 and chitosan. The shape and surface morphology of prepared microspher es were characterized by optical and scanning electron microscopy, respectively. In vitro drug release studies were performed and drug release kinetics was evaluated using the linea r r gression method. Effects of natural biodegradable polymer chitosan and another acrycoat S 100 polymer on the size of microspheres, incorporation efficiency and in-vitro drug release were also observed. The prepared microspheres exhibited prolonged drug rele as more than 18 h, incorporation efficiency was change due to increase concentration of poly vinyl alcohol solution but remained buoyant for more than 12 h because clumpin g of polymers on surface of microspheres. The mean particle size increased and the rug release rate decreased at higher polymer concentration. In vitro studies demonstrated diffusion-controlled drug rel ease from the prepared floating microspheres.
Path planning for UAVs

In this paper, a two step path-planning algorithm for UAVs is proposed. The algorithm generates a stealthy path through a set of enemy radar sites of known location, and provides an intuitive way to trade-off stealth versus path length. In the first step, a suboptimal rough-cut path is generated through the radar sites by constructing and searching a graph based on Voronoi polygons. In the second step, a set of nonlinear ordinary differential equations are simulated, using the graph solution as an initial condition. The ODEs describe the dynamics of a set of virtual masses located in a virtual force field. The virtual forces push the masses away from the radar and toward one another. The ODEs are simulated to find a locally, exponentially stable equilibrium solution, which is interpreted as the optimal path. A simulation is provided to illustrate the idea.
MiR-26b, Upregulated in Alzheimer's Disease, Activates Cell Cycle Entry, Tau-Phosphorylation, and Apoptosis in Postmitotic Neurons

MicroRNA (miRNA) functions in the pathogenesis of major neurodegenerative diseases such as Alzheimer's disease (AD) are only beginning to emerge. We have observed significantly elevated levels of a specific miRNA, miR-26b, in the defined pathological areas of human postmortem brains, starting from early stages of AD (Braak III). Ectopic overexpression of miR-26b in rat primary postmitotic neurons led to the DNA replication and aberrant cell cycle entry (CCE) and, in parallel, increased tau-phosphorylation, which culminated in the apoptotic cell death of neurons. Similar tau hyperphosphorylation and CCE are typical features of neurons in pre-AD brains. Sequence-specific inhibition of miR-26b in culture is neuroprotective against oxidative stress. Retinoblastoma protein (Rb1), a major tumor suppressor, appears as the key direct miR-26b target, which mediates the observed neuronal phenotypes. The downstream signaling involves upregulation of Rb1/E2F cell cycle and pro-apoptotic transcriptional targets, including cyclin E1, and corresponding downregulation of cell cycle inhibitor p27/Kip1. It further leads to nuclear export and activation of Cdk5, a major kinase implicated in tau phosphorylation, regulation of cell cycle, and death in postmitotic neurons. Therefore, upregulation of miR-26b in neurons causes pleiotropic phenotypes that are also observed in AD. Elevated levels of miR-26b may thus contribute to the AD neuronal pathology.