Miracle-dz/UniFAR-FTUs huggingface dataset:
Cell Outage Detection and Compensation in Two-Tier Heterogeneous Networks

Heterogeneous networks (HetNets) can increase network capacity through complementing the macro-base-station with low-power nodes, in response to the ongoing exponential growth in data traffic demand. While, unprecedented challenges exist in the planning, optimization, and maintenance in HetNets, especially activities such as cell outage detection and mitigation are labor-intensive and costly. One potential solution to address these issues is to introduce the extensively attracted self-organizing network (SON). This paper is mainly devoted to cell outage detection and compensation methods in two-tier HetNets where macrocell and picocells are coexisted. A -nearest neighbor (KNN) classification algorithm is employed to detect the cell outage automatically. Consider the breakdown picocell can reload its degraded service to the overlapped macrocell via vertical handover; only the breakdown macrocell executes the performance compensation. Power adjustment on each resource block is carried out via Lagrange optimizing algorithm to compensate the breakdown cell. Through intensive numerical experiments, with the help of our proposal, the outage cells can be successfully detected and performance gain for the outage macrocell can reach 91.4% with .
ACME: A Partially Periodic Estimator of Avian & Chiropteran Mortality at Wind Turbines

Estimating the mortality of birds and bats at wind turbines based on periodic carcass counts is challenging because carcasses may be removed by scavengers or may be missed in investigators' searches, leading to undercounting. Existing mortality estimators intended to correct for this offer wildly different estimates when search intervals are short. We introduce a new estimator that includes many existing ones as special cases but extends and improves them in three ways to reflect phenomena discovered in the field: * Decreasing removal rate by scavengers as carcasses age; * Diminishing proficiency of Field Technicians in discovering carcasses as they age; * Possibility that some (but not all) carcasses arriving in earlier search periods may be discovered in the current period. It is this feature that makes the new estimator "partially periodic". Both point estimates and 50% and 90% Objective Bayes interval estimates are provided for mortality. The new ACME mortality estimator will significantly improve the accuracy and credibility of mortality estimates for birds and bats near wind turbines.
Piecing together the puzzle of NGC 5253: abundances, kinematics and WR stars

We present Gemini-S/GMOS-IFU optical spectroscopy of four regions near the centre of the nearby (3.8 Mpc) dwarf starburst galaxy NGC 5253. This galaxy is famous for hosting a radio supernebula containing two deeply embedded massive super star clusters, surrounded by a region of enhanced nitrogen abundance that has been linked to the presence of WR stars. We detected 11 distinct sources of red WR bump (CIV) emission over a 20" (~350 pc) area, each consistent with the presence of ~1 WCE-type star. WC stars are not found coincident with the supernebula, although WN stars have previously been detected here. We performed a multi-component decomposition of the H\alpha\ line across all four fields and mapped the kinematics of the narrow and broad (FWHM = 100-250 km/s) components. These maps paint a picture of localised gas flows, as part of multiple overlapping bubbles and filaments driven by the star clusters throughout the starburst. We confirm the presence of a strong H\alpha\ velocity gradient over ~4.5" (~80 pc) coincident with the region of N/O enhancement, and high gas density known from previous study, and interpret this as an accelerating ionized gas outflow from the supernebula clusters. We measure the ionized gas abundances in a number of regions in the outer IFU positions and combine these with measurements from the literature to assess the radial abundance distribution. We find that the O/H and N/H profiles are consistent with being flat. Only the central 50 pc exhibits the well-known N/O enhancement, and we propose that the unusually high densities/pressures in the supernebula region have acted to impede the escape of metal-enriched hot winds from the star clusters and allow them to mix with the cooler phases, thus allowing these freshly processed chemicals to be seen in the optical.
Charged Gravastar in a Dark Energy Universe

Here we constructed a charged gravastar model formed by an interior de Sitter spacetime, a charged dynamical infinitely thin shell with an equation of state and an exterior de Sitter-Reissner-Nordstrom spacetime. We find that the presence of the charge is crucial to the stability of these structures. It can as much favor the stability of a bounded excursion gravastar, and still converting it in a stable gravastar, as make disappear a stable gravastar, depending on the range of the charge considered. There is also formation of black holes and, above certain values, the presence of the charge allows the formation of naked singularity. This is an important example in which a naked singularity emerges as a consequence of unstabilities of a gravastar model, which reinforces that gravastar is not an alternative model to black hole.
Expression of immune checkpoints genes in tumour samples from resectable NSCLC patients. Role as prognostic biomarkers.

SEOM 2017 (Submitted) ESTABLECIMIENTO DE UNA FIRMA DE GENES INMUNOREGULADORES CON VALOR PRONÓSTICO EN ESTADIOS TEMPRANOS DE ADENOCARCINOMAS DE PULMÓN. Andrea Moreno Manuel, Eloisa Jantus Lewintre 2, , Alejandro Herreros Pomares, Susana Torres Martinez, Silvia Calabuig-Fariñas 2, , Rafael Sirera , Ana Blasco , Carlos Camps 1 ,2, 5,6 1 Laboratorio de Oncología Molecular, Fundación Investigación Hospital General Universitario de Valencia; 2 CIBERONC; 3 Departamento de Biotecnología, Universidad Politécnica de Valencia; 4 Departamento de Patología, Universitat de València; 5 Servicio de Oncología Médica, Consorcio Hospital General Universitario de Valencia; 6 Departmento de Medicina, Universitat de València Introducción y objetivos El adenocarcinoma (ADC) es uno de los subtipos de cáncer de pulmón más frecuente. El estudio de la evasión de la vigilancia inmune en el microambiente tumoural ha dado lugar al desarrollo de nuevas terapias contra el cáncer. Este trabajo se centra en el análisis de genes inmunoreguladores como posibles biomarcadores pronóstico. Materiales y métodos Se utilizó una cohorte de 88 pacientes con ADC en estadios resecables. Se analizó la expresión de 8 genes relacionados con la regulación inmune (PD-L1, PD-L2, IDO-1, IDO-2, ICOS-LG, CD5, CD6 y CD200) mediante RTqPCR en muestras pareadas de tejido normal y tumoural, y se calculó la expresión relativa utilizando la fórmula de Pfaffl. La supervivencia se determinó mediante análisis de regresión de Cox. Se consideraron significativos aquellos análisis en que p<0,05, y se representaron mediante curvas Kaplan-Meier (test log-rango) tras dicotomizar los datos tomando la mediana como valor de corte.
DECREASING VOLUME OF FACE IMAGES DATABASE AND EFFICIENT FACE DETECTION ALGORITHM

As one of the most successful applications of image analysis and understanding, face recognition has recently gained significant attention. Over the last ten years or so, it has become a popular area of research in computer vision and one of the most successful applications of image analysis and understanding. A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database. Biometric face recognition, otherwise known as Automatic Face Recognition (AFR), is a particularly attractive biometric approach, since it focuses on the same identifier that humans use primarily to distinguish one person from another: their "faces". One of its main goals is the understanding of the complex human visual system and the knowledge of how humans represent faces in order to discriminate different identities with high accuracy. Human face and facial feature detection have attracted a lot of attention because of their wide applications, such as face recognition, face image database management and human-computer interaction. So it is of interest to develop a fast and robust algorithm to detect the human face and facial features. This paper describes a visual object detection framework that is capable of processing images extremely rapidly while achieving high detection rates.
Specification and Visualization of Interconnection Networks of Mobile GPUs

The number of components that can be fit into a single chip is increasing over time, because of improved manufacturing technology. An efficient way to con- nect the components is through a packet switched network, a Network on Chip. Such a network can be designed in many different ways. An effective way to explore the large design space is by simulation. In this project, we have devel- oped a network description language to define the network of a mobile GPU. As part of this process, we have surveyed how NoCs are specified in several simulators. We have implemented support for the language in a GPU simula- tor. We have also implemented a script that outputs a visual representation of networks defined in the language. The purpose of the project has been to develop tools to make Network on Chip modeling faster, easier, and less error prone. The result was evaluated qualitatively and quantitatively.
Female Leadership and Value Creation: Evidence from London Stock Exchange

This study examines the effects of female leadership, at both board-level and individual-level, on the corporate value of UK FTSE100 stocks. United Kingdom is a valuable sample for this research as the UK governance sets the goal that at least a third of UK boardroom positions should be held by women by the end of 2020. Using the GMM approach with a dataset of 96 publicly firms from 2006 to 2016; our analysis reveals strong evidence that the existence of female directors on board is positively associated with firm value (Tobin’ Q). Testing for the female director positions, we interestingly found the competing results: the relation between the female chairman and firm value is significantly positive whilst there exists an adverse link between female CEO and firm value. The findings imply a significant effect of quota laws for gender diversity of boards of directors and female directors’ positions on UK corporate market value.
Research watch Hearing voices and befriending schemes

Purpose – This Research Watch seeks to summarise two recent research papers. The first examines the case for understanding hearing voices as part of normal experience, while the second looks at befriending schemes. Design/methodology/approach – A search was carried out for research papers with a mental health and social inclusion focus published within the previous 12 months. Findings – Studies spanning more than 100 years suggest that hearing voices is more common than usually thought. There is a case for viewing this experience more positively than at present. Interviews involving eight people with mental health conditions and their befrienders suggested that demonstrating empathy and being non-judgmental helped people with mental health conditions to talk things through with both parties learning from one another. Going out together helped befriendees gain greater confidence to participate in further activities and feel less isolated. Originality/value – This paper summarises research relating to mental health and social inclusion that has emerged within the previous 12 months.
Atmospheric pollution assessment with mosses in Western Rhodopes , Bulgaria

Mosses were successfully applied for more than 30 years for assessing atmospheric pollution based on their ability to obtain nutrients from precipitation and dry deposition. Among the advantages of the carpet-forming mosses as biomonitors are: mineral supply mainly by wet and dry atmospheric deposition; fast uptake due to lack of epidermis and cuticle; high surface-to-volume ratio and thus high cation exchange capacity. Trends in heavy metal accumulation in mosses have been monitored every five years in Europe (Yurukova, 2010). We focused our attention on the region selected for the study because it comprised a large number of protected areas, unpopulated areas, and old and open mines. The above combination between pristine and affected sites on a small scale was selected as a pilot “background-impact” region for application of the moss biomonitoring technique. Thus the aims of this study were: (i) to assess concentrations of the main 10 heavy metals in the most distributed moss species Hypnum cupressiforme Hedw. in a border mountain region; (ii) to evaluate the bioaccumulation levels regarding last Bulgarian and European moss data. Gana Gecheva 1 Nikolina Gribacheva 1 Lilyana Yurukova 2† Violeta Stefanova 3 Veselin Kmetov 3 Marina Frontasieva 4 Georgi Popgeorgiev 5 Atmospheric pollution assessment with mosses in Western Rhodopes, Bulgaria
Route Lookup Algorithms Using the Novel Idea of Coded Prefix Trees

This paper introduces a new prefix matching algorithm called “Coded Prefix Search” and its improved version called “Scalar Prefix Search” using a coding concept for prefixes which can be implemented on a variety of trees especially limited height balanced trees for both IPv4 and IPv6 prefixes. Using this concept, each prefix is treated as a number. The main advantage of the proposed algorithms compared to Trie-based solutions is that the number of node accesses does not depend on IP address length in both search and update procedures. Therefore, applying this concept to balanced trees, causes the search and update node access complexities to be O(log n) where nis the number of prefixes. Also, compared to the existing range-based solutions, it does not need to store both end points of a prefix or to store ranges. Finally, compared to similar tree based solutions; it exhibits good storage requirements while it supports faster incremental updates. These properties make the algorithm capable of potential hardware implementation.
Identification of some viruses causing mosaic on lettuce and characterization of Lettuce mosaic virus from Tehran Province in Iran

Lettuce mosaic virus (LMV) , Cucumber mosaic virus (CMV) and Tomato spotted wilt virus (TSWV) were identified in lettuce fields in Tehran province. In this study, 452 infected lettuce plants having viral infection symptoms including, mosaic, mottling, leaf distortion, stunting defective heading, were collected from the fields throughout Tehran province. Distribution of Lettuce mosaic virus (LMV), Cucumber mosaic virus (CMV), Tomato spotted wilt virus (TSWV) and Arabis mosaic virus (ArMV) were determined with DAS-ELISA. LMV, CMV and TSWV were found on lettuce in this region, but no infection by ArMV was found. Percentage of single infection by LMV, CMV or TSWV was 21, 16 and 10% respectively. Also, 16% of samples were co-infected with LMV+CMV, 8% with LMV+TSWV and 8% with CMV+TSWV. 5% of samples were infected to all of these viruses. LMV was found in 49%, CMV in 44% and TSWV in 31% of samples totally. Therefore, LMV is major agent of lettuce mosaic disease in Tehran province. This is the first report of occurrence of TSWV on lettuce in Iran and the first report of CMV and LMV in Tehran province. Three LMV infected samples were collected and their characteristics were determined. After mechanical inoculation, these isolates produced symptoms on Chenopodium quinoa, Chenopodium amaranticolor, Gomphrena globosa, Nicotiana benthamiana, Lactuca sativa cv. Mantilia and cv. Terocadero (which contains the mo1 1 resistance gene and susceptible respectively), but not cv. Salinas 88 (which contains the mo1 2 resistance gene). LMV was purified and LMV polyclonal antiserum was produced in rabbit by a series of intravenous and intramuscular injections, the titre of this antiserum was 1:1024. Gel double diffusion test (GDDT) was performed, and precipitin bands appeared. Sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and western blotting showed the presence of coat protein 29 kDa. In Immunocapture reverse transcription PCR (IC-RT-PCR) with a LMV specific primer pair, an aproximately 1300 bp fragment was amplified.
What´s cooking guys?- A study on responses to food waste and related energy & water consumption in the food service sector.

New legislation, rules and regulations concerning food waste creation mostly aim at private households and not the industry sector. This thesis is broaching on the issue of food waste within the food service sector to tackle the problem on a managerial level. The research question tries to answer in which way the food service sector, with special focus on Quick Service Restaurants (QSRs), can reduce and prevent food waste and related energy and water consumption. As part of the methodology, the research area was determined by making use of the Ishikawa diagram which represents causal relationships to determine main causes for food waste. Three main areas were defined as men, methods and environment. The most common responses towards the causes were identified. All responses that met the criteria to be a best practice example, according to the literature analysis, were clustered in a matrix. The literature analysis also led to the development of a change management strategy for food waste, energy and water reduction. All processes, occurring in a food & beverage area of a QSR that could be linked to the different best practices were than analysed by using the five-step-extrapolation approach developed by Edoardo Ongaro to determine common factors that would make it possible to use the process also in different organizations. Result was a catalogue of different actions and routines that makes it possible to determine whether an organization is on the right track already with their environmental management or needs more assistance. This catalogue therefore functions also as a tool which was used to evaluate how far the investigated case studies have come in their environmental change management strategy.
Unified Models of Dark Energy and Dark Matter

Faculdade de Ciências Departmento de F́ısica e Astronomia Unified Models of Dark Energy and Dark Matter by Vasco Ferreira In this work we give a succinct review of the main ideas behind modern cosmology and introduce the concept of models that represent dark energy and dark matter by the same underlying fluid. The background evolution and general considerations of the generalized Chaplygin gas (GCG) are presented and the parameters of the model constrained using Supernovae Ia (SNIa) observations. Next, we deal with the evolution of cosmological perturbations of the GCG and find that the matter power spectrum of the model is inconsistent with the observations, unless we constrain the value of the parameter α close to zero. The importance of including baryons to account for the formation of structures is also discussed. By analysing the clustering properties of the GCG, we motivate the idea that it is essential to take in account the effects of nonlinearities when considering unified dark energy models. Finally, we study a model that introduces a parameter to characterize the level of small non-linear clustering in these scenarios, using the GCG as a representative model. We conclude that the model is consistent for all values of α, with the most recent SNIa observations, and avoids the late time oscillations of the matter power spectrum, providing that the level of non-linear clustering is sufficiently high.
Department Chairs as Leaders: A Model of Social Intelligence and Creative Performance in a State University

This study presents a structural equations model that represents relationships between department chairs’ social intelligence (SI) and their creative performance (CP) at a public university in the United States. SI was defined as the ability to be aware of relevant social situations, to manage situational challenges effectively, to understand others’ concerns and feelings, and to build and maintain positive relationships in social settings. Four components of SI were examined: situational awareness, situational response, cognitive empathy, and social skills. The model was tested with questionnaire data from 406 faculty members belonging to 43 departments in a state university. The data analyses with LISREL suggest that department chairs’ SI was positively associated with CP. Implications for management, directions for future research, and limitations of the study are discussed.
Optimal tuning of the tunable translational-rotational dynamic absorbers in global vibration control problems in beams

The paper deals with vibration of the beam subjected to the concentrated and distributed harmonic forces, with the translational-rotational dynamic vibration absorbers attached. The linear Euler-Bernoulli beam model is assumed, the solution of the equation of motion is found with the use of Fourier method. The timeLaplace transformation allows to obtain the displacement amplitude in the frequency domain. Numerical examples present a problem of minimization of the kinetic energy of the whole or the part of the beam by optimal tuning the translational-rotational dynamic vibration absorber. The results of calculation confirm the effectiveness of using the translational-rotational dynamic absorbers in beams. In the examples studied the optimal tuning strategies minimizing the kinetic energy are determined.
On the diversification of portfolios of risky assets

We introduce a measure of diversification for portfolios comprising d risky assets. This measure relates the smallest possible return variance among these d assets to the overall portfolio return variance, yielding the portion of non-diversifiable risk. In the context of normally distributed asset returns, its estimator and finite-sample properties are explored when being applied to the trivial asset allocation strategy. An overview of different previous approaches towards the measurement of diversification is provided, and the shortcomings of some of these approaches are illustrated. A categorization of tests regarding the portfolio return variance is given, especially for comparing naively allocated with minimum-variance portfolios. The empirical part of this work is carried out on monthly return data for the S&P500 constituents, with a return history spanning the last five decades. When measuring the diversification of naively allocated 40-asset portfolios, the average degree of diversification barely exceeds 60%. This result indicates that - for the mutual fund manager as well as for the private investor - well-founded selection of assets indeed leads to better portfolio diversification than naive allocation does.
Molecular Targets for Therapy in Malignant Gliomas

Glial cells are the supporting cells of the central nervous system (CNS) and are the most abundant cell type in CNS. Their role is to nurture and sustain the neurons. They are the mediators of cross-talk between neurons and endothelial cells, and respond to stimuli through signaling pathways. Glial cells are of three sub types, astrocytes, oligodendrocytes and microglia. Glial tumors is a broad term encompassing tumors arising from astrocytes (astrocytomas), oligodendrocytes (oligodendrogliomas), and ependymal cells (ependymomas) (Srivastava et al 2007). Glial tumors or gliomas are a group of highly heterogenous tumors and also the most common neoplasms of the brain (Maher et al 2001). They are the second most frequent cause of neoplasm in young adults after hematological malignancies. The major group of malignant glioma in the CNS is the Grade III Anaplastic Astrocytoma (AA) and the highly malignant form Grade IV Glioblastoma Multiforme (GBM). Most GBMs appear de novo, although approximately 10% have a prior clinical history of a lower grade astrocytoma, in which case they are also termed secondary GBMs