Miracle-dz/UniFAR-FTUs huggingface dataset:
Immunohistochemical determination of estrogen and progesterone receptors in breast cancer: pathological correlation and prognostic indicators

Carcinoma of the breast is the most common malignancy of women globally and the incidence has more risen in recent years. The current study was conducted with the objective of assessing estrogen receptor (ER) and progesterone receptor (PR) reactivity patterns of mammary cancers and to evaluate their association with clinicopathological features. A total of 61 cases of breast carcinoma were examined retrospectively using immunostains for estrogen receptor (ER) and progesterone receptor (PR). Staining pattern and intensity were correlated with histological subtypes and nuclear grades of tumors. The left breast was more commonly involved (57%) and tumor size ranged from 0.5-13.0cm. The predominant morphology was infiltrating ductal carcinoma (85.3%). The majority of the cases presented as grade II (55.3%) lesions with tumor necrosis (70%) and lymph node involvement (71.3%(. Positive nuclear staining for ER and PR was observed in 70.5% and 57.5 % of invasive carcinomas, respectively. In ER+ cases, fifty five cases (90%) gave diffuse immunohistochemical reaction for ER; in the remaining 10%, a focal ER reaction was seen. In PR+ cases, 49 cases (80%) gave diffuse immunohistochemical reaction for PR and In remaining 20% of PR+ tumors, the reaction was heterogeneous. In ductal infiltrative carcinomas the percentage of cases showed ER+ nuclear labeling is higher than those in cases of infiltrative lobular carcinomas. Assessment of ER and PR as prognostic markers for the clinical management of breast cancer patients is strongly advocated to provide best therapeutic options.
Multi-Word Expressions in spoken language: PoliSdict

English. The term multiword expressions (MWEs) is referred-to a group of words with a unitary meaning, not inferred from that of the words that compose it, both in current use and in technical-specialized languages. In this paper, we describe PoliSdict an Italian electronic dictionary composed of multi-word expressions (MWEs) automatically extracted from a multimodal corpus grounded on political speech language, currently being developed at the "Maurice Gross" Laboratory of the Department of Political Sciences, Social and Communication of the University of Salerno, thanks to a loan from the company Network Contacts. We introduce the methodology of creation and the first results of a systematic analysis which considered terminological labels, frequency labels, recurring syntactic patterns, further proposing an associated ontology. Italiano. Con il termine polirematica si fa generalmente riferimento ad un gruppo di parole con significato unitario, non desumibile da quello delle parole che lo compongono, sia nell’uso corrente sia in linguaggi tecnico-specialistici. In questo contributo viene presentato PoliSdict un dizionario elettronico in lingua italiana composto da espressioni polirematiche occorrenti nel parlato spontaneo estratte a partire da un corpus multimodale di dominio politico in lingua italiana in corso di ampliamento presso il Laboratorio “Maurice Gross” del Dipartimento di Scienze Politiche, Sociali e della Comunicazione dell’Università degli Studi di Salerno, grazie a un finanziamento della società Network Contacts. Viene presentata la metodologia di creazione ed i primi risultati di un'analisi sistematica che ha considerato etichette terminologiche, marche d'uso e pattern ricorrenti, proponendo infine un’ontologia associata.
Wide Residual Networks 1D for Automatic Text Punctuation

Documentation and analysis of multimedia resources usually requires a large pipeline with many stages. It is common to obtain texts without punctuation at some point, although later steps might need some accurate punctuation, like the ones related to natural language processing. This paper is focused on the task of recovering pause punctuation from a text without prosodic or acoustic information. We propose the use of Wide Residual Networks to predict which words should have a comma or stop from a text with removed punctuation. Wide Residual Networks are a well-known technique in image processing, but they are not commonly used in other areas as speech or natural language processing. We propose the use of Wide residual networks because they show great stability and the ability to work with long and short contextual dependencies in deep structures. Unlike for image processing, we will use 1-Dimensional convolutions because in text processing we only focus on the temporal di-mension. Moreover, this architecture allows us to work with past and future context. This paper compares this architecture with Long-Short Term Memory cells which are used in this task and also combine the two architectures to get better results than each of them separately.
Ordering Cost Reduction in Inventory Model with Defective Items and Backorder Price Discount

In the real market, as unsatisfied demands occur, the longer the length of lead time is, the smaller the proportion of backorder would be. In order to make up for the inconvenience and even the losses of royal and patient customers, the supplier may offer a backorder price discount to secure orders during the shortage period. Also, ordering policies determined by conventional inventory models may be inappropriate for the situation in which an arrival lot contains some defective items. To compensate for the inconvenience of backordering and to secure orders, the supplier may offer a price discount on the stockout item. The purpose of this study is to explore a coordinated inventory model including defective arrivals by allowing the backorder price discount and ordering cost as decision variables. There are two inventory models proposed in this paper, one with normally distributed demand and another with distribution free demand. A computer code using the software Matlab 7.0 is developed to find the optimal solution and present numerical examples to illustrate the models. The results in the numerical examples indicate that the savings of the total cost are realized through ordering cost reduction and backorder price discount.
Credit, Endogenous Collateral and Risky Assets: A DSGE Model

This paper proposes a new Dynamic Stochastic General Equilibrium (DSGE) model with credit frictions and a banking sector, which endogenizes loan-to-value (LTV) ratios of households and banks by expressing them as a function of systemic and idiosyncratic proxies for risk. Moreover, the model features endogenous balance sheet choices and a novel formulation of the targeted leverage ratio, in which assets are risk-weighted by risk-sensitivity measures. The results highlighted in this paper are important along two dimensions. First of all, the presence of endogenous LTV ratios exacerbates the procyclicality of lending conditions. Second, the model contributes to deeper understand the role of prudential regulatory frameworks in affecting business cycle fluctuations and in restoring macroeconomic and financial stability. The results suggest that when the economy is severely stressed by shocks originating in the financial sector, prudential regimes such as Basel II and Basel III are capable of downsizing substantially aggregate volatility, with Basel III found to be significantly more effective than Basel II.
The fiftieth anniversary of the liquid crystal display

ABSTRACT A record is given of the special meeting organised by the UK&I Chapter of the Society of Information Display held at the Royal Academy of Engineering in London, to celebrate the 50th anniversary of the RCA announcement of the first Liquid Crystal Display on 28th May 1968. Coming exactly eighty years after the report of the first liquid crystal materials, this announcement sparked interest across the globe, and particularly in the UK, Switzerland and Japan. Presentations of the early LCD history from Hilsum, Schadt and Raynes give insights into both the science and also the process of invention itself. These early contributors are followed by a view from the USA from Bos and representation from the companies Sharp and Merck that helped shape the success of these fascinating and useful materials. Also reviewed are talks on the use of organic semiconductors to drive plastic LCD by Sirringhaus, reflective LCD of Folium Optics, retail signage of Displaydata, as well as a look to the future from LCD competitors from Bodle (Phase Change Material displays) and BOE (OLED).
Yield-scaled mitigation of ammonia emission from N fertilization: the Spanish case

Synthetic nitrogen (N) fertilizer and field application of livestock manure are the major sources of ammonia (NH3) volatilization. This N loss may decrease crop productivity and subsequent deposition promotes environmental problems associated with soil acidification and eutrophication. Mitigation measures may have associated side effects such as decreased crop productivity (e.g. if N fertilizer application is reduced), or the release of other reactive N compounds (e.g. N2O emissions if manure is incorporated). Here, we present a novel methodology to provide an integrated assessment of the best strategies to abate NH3 from N applications to crops. Using scenario analyses, we assessed the potential of 11 mitigation measures to reduce NH3 volatilization while accounting for their side effects on crop productivity, N use efficiency (NUE) and N surplus (used as an indicator of potential N losses by denitrification/nitrification and NO3− leaching/run-off). Spain, including its 48 provinces, was selected as a case study as it is the third major producer of agricultural goods in Europe, and also the European country with the highest increase in NH3 emissions from 1990 to 2011. Mitigation scenarios comprised of individual measures and combinations of strategies were evaluated at a country- and regional level. Compared to the reference situation of standard practices for the year 2008, implementation of the most effective region-specific mitigation strategy led to 63% NH3 mitigation at the country level. Implementation of a single strategy for all regions reduced NH3 by 57% at the highest. Strategies that involved combining mitigation measures produced the largest NH3 abatement in all cases, with an 80% reduction in some regions. Among the strategies analyzed, only suppression of urea application combined with manure incorporation and incorporation of N synthetic fertilizers other than urea showed a fully beneficial situation: yield-scaled NH3 emissions were reduced by 82%, N surplus was reduced by 9%, NUE was increased by 19% and yield was around 98% that of the reference situation. This study shows that the adoption of viable measures may provide an opportunity for countries like Spain to meet the international agreements on NH3 mitigation, while maintaining crop yields and increasing NUE.
A Review on Dimensionality Reduction Techniques

Progress in digital data acquisition and storage technology has resulted in exponential growth in high dimensional data. Removing redundant and irrelevant features from this high-dimensional data helps in improving mining performance and comprehensibility and increasing learning accuracy. Feature selection and feature extraction techniques as a preprocessing step are used for reducing data dimensionality. This paper analyses some existing popular feature selection and feature extraction techniques and addresses benefits and challenges of these algorithms which would be beneficial for beginners.
An implementation of peak to average power ratio reduction for multicarrier system (orthogonal frequency division multiplexing)

Orthogonal frequency division multiplexing (OFDM) has been becoming more popular modulation technique in the high-speed wireless communication system. It is used especially in Large Term Evaluation technique (LTE) which depended from the fourth-generation (4G) of wireless communication system. OFDM proves high efficiency to transmit data rate as high as 100 Mbps, the capability to combat multipath fading channel and utilization the whole bandwidth. Although, OFDM technology has more advantages, the same time has some obstacles also. The highest Peak to average power ratio (PAPR) considers the main restrict which cause non-linearity at receiving end. Coding, clipping and phase rotation among many PAPR reduction techniques are proposed to overcome this problem. In this project, we investigated the PAPR reduction performance with two PAPR reduction techniques selective mapping (SLM) and partial transmit sequence (PTS). These two PAPR reduction methods consider sub-parts of signal scrambling technique that depend on phase rotation technique in its operation. The simulation results show SLM and PTS methods have improved the PAPR reduction performance with different parameters. Moreover, different kinds of SLM and PTS schemes are also plotted. Generally, PTS and SLM techniques are leading the PAPR reduction better performance. The results are verified using MATLAB software.
New Delay-Range-Dependent Robust Exponential Stability Criteria of Uncertain Impulsive Switched Linear Systems with Mixed Interval Nondifferentiable Time-Varying Delays and Nonlinear Perturbations

We investigate the problem of robust exponential stability analysis for uncertain impulsive switched linear systems with time-varying delays and nonlinear perturbations. The time delays are continuous functions belonging to the given interval delays, which mean that the lower and upper bounds for the time-varying delays are available, but the delay functions are not necessary to be differentiable. The uncertainties under consideration are nonlinear time-varying parameter uncertainties and norm-bounded uncertainties, respectively. Based on the combination of mixed model transformation, Halanay inequality, utilization of zero equations, decomposition technique of coefficient matrices, and a common Lyapunov functional, new delay-range-dependent robust exponential stability criteria are established for the systems in terms of linear matrix inequalities (LMIs). A numerical example is presented to illustrate the effectiveness of the proposed method.
The influence of Alpine soil properties on shallow movement hazards, investigated through factor analysis

Abstract. Mountain watersheds are particularly vulnerable to extreme meteorological events, such as high intensity rainfall, and mountain soils often show pronounced fragility and low resilience due to severe environmental conditions. Alpine soil vulnerability is partly intrinsic but in part related to climate change (mainly precipitation regimes), and is enhanced by the abandonment of rural mountain areas that reduced the land maintenance actions traditionally carried out by farmers and local populations in the past. Soil hazards are related to different processes such as water erosion, loss of consistency, surface runoff and sediment transport, often occurring simultaneously and interacting with each other. Therefore, the overall effects on soil are not easy to quantify as they can be evaluated from different soil chemical and physical properties, referring to specific soil loss phenomena such as soil erosion, soil liquefaction, loss of consistency etc. In this study, we focus our attention on a mountain region in the NW Italian Alps (Valle d'Aosta), which suffered from diffuse soil instability phenomena in recent years, as a consequence of extreme rainfall events and general abandonment of the agricultural activities in marginal areas. The main effects were a large number of shallow landislides involving limited soil depths (less than 1 m), affecting considerable surfaces in the lower and middle part of the slopes. These events caused loss of human lives in the year 2000 and therefore raised the attention on land maintenance issues. Surface (topsoil: 0–20 cm) and subsurface (subsoil: 20–70 cm) samples were characterised chemically and physically (pH, carbon and nitrogen contents, cation exchange capacity, texture, aggregate stability, Atterberg limits etc.) and they showed very different soil properties. Topsoils were characterised by better stability, structure, and consistency. The differences between the two depths were potential trigger factors for shallow soil movements involving the upper soil horizons. We assessed a great number of soil properties that are known to be related to vulnerability to the main hazards present in the area. These properties were evaluated at the two depths and a factor analysis was performed to simplify the dataset interpretation, and to hypothesise the most decisive parameters that were potentially related to vulnerability. The factors (soil structure, aggregation, consistency, texture and parent material, cation exchange complex and other chemical properties) were a first step towards identifying soil quality indexes in the studied environment.
Altitude and Attitude Tracking of a Quadrotor-Based Aerial Manipulator using Super Twisting Sliding Mode Control

This paper presents the altitude and attitude tracking using super twisting sliding mode control (SMC) for a quadrotor-based aerial manipulator. The aerial manipulator model is first derived analytically using the Newton-Euler formulation for the quadrotor and Recursive Newton-Euler formulation for the manipulator. The super twisting SMC for altitude and attitude tracking of the aerial manipulator is then presented. The controller is then tested via simulation for altitude and attitude tracking with manipulator motion and added noise. The results for the super twisting SMC show better tracking performance and reduced chattering when compared to a first-order SMC.
The challenge of improving urban air quality: effects of hybrid cars, introduction in Barcelona and Madrid (Spain)

WRF-ARW/HERMES/CMAQ modelling system is applied with high resolution (1 km2, 1 h) to assess changes in Madrid and Barcelona (Spain) air quality due to hybrid cars introduction. The substitution of the oldest cars by hybrids is effective to reduce NO2 and PM2.5 levels in the conurbations (up to 35%/12% in Madrid downtown, when 30% of cars are changed). In VOC-limited areas, as Barcelona, the NOx emissions abatement locally increases tropospheric ozone concentration. Downwind, however, the precursors’ emissions reduction leads to lower O3 levels. Air quality models, applied with high resolution, prove to be useful tools to manage urban air quality.
High Voltage Power Transformer Dissolved Gas Analysis, Measurement and Interpretation Techniques

Dissolved Gas Analysis (DGA) is widely accepted powerful tool in diagnosing power transformer health condition. Several DGA measurement techniques have been developed since 1950’s, from limited laboratory testing up to site online monitoring. Gas Chromatography (GC), Hydrogen On-line Monitor and Photo-Acoustic Spectroscopy (PAS) are most popular among existing DGA techniques. Basic operating principle, advantages and disadvantages of GC, Hydrogen On-line Monitor and PAS are reviewed and discussed in this paper. Several DGA interpretation techniques such as Key Gas Method, Doernenburg, Rogers, IEC ratio methods and Duval Triangle method are also reviewed in this paper.
The Improvement of Geometrically Based 3-D Wave Scattering in MIMO OFDM Mobile Communication Systems

The paper focuses on the signal cross correlation in 3D scattering MIMO channel. An improved geometrically-based 3-D wave scattering MIMO channel model is developed. The fading cross-correlation in vertically (e=90°) and horizontally (e=0°) separated antenna array at the MS was investigated in terms of the antenna element spacing, AoA distributions, and the angular spread of the arrival angle in the vertical plane. An extended geometrically-based MIMO channel model in 3-D wave scattering is developed and general formulas for joint spatial-temporal correlation, spatial correlation, and temporal correlations are derived and numerically evaluated. Then the effect of this correlation on MIMO channel capacity is investigated under assumption of uniform and Laplacian angular energy distributions and for uniform linear array (ULA) and uniform circular array (UCA) using MATLAB simulation environments.
Haplotype and Genetic Diversity of mtDNA in Indigenous Iranian Sheep and an Insight into the History of Sheep Domestication

The archaeological evidence suggests that Iran has been one of the first origins of sheep domestication in the world. This study aims to investigate the genetic diversity of indigenous Iranian sheep breeds using mitochondrial DNA (mtDNA) and to explore the evolutionary history of sheep domestication in Iran. Single Nucleotide Polymorphism (SNP) markers in the control region of mtDNA were used to genotype the unrelated sheep samples of Zel and Lori-Bakhtiari breeds which were collected from or near the center of the sheep domestication, using the Sequenom MassARRAY platform. Phylogenetic analysis of the mitochondrial SNPs classified all animals into either of two haplogroups A and B. The population differentiation (FST) and gene flow (Nm) statistics were 0.054 and 4.715 respectively, indicating a low mitochondrial genetic differentiation and high gene flow between two sheep breeds. The Analysis of Variation (AMOVA) showed that around 97% of the total genetic diversity is distributed within the two breeds. Further analysis using SNP haplotyping identified nine different haplotypes within the animals; eight haplotypes were present in the Zel, while only four were seen in the Lori-Bakhtiari breed. Two haplotypes, designated H1 and H3, were present at higher frequencies in both breeds. Haplotyes H5, H6, H7, H8 and H9 were found as population-specific in the Zel, and haplotype H2 only occurred in Lori-Bakhtiari breed. The existence of two common Haplotypes (H1 and H3) in the animals suggest that the two Iranian breeds from strikingly different geographical regions, may share a common ancestry, and these haplotypes could be the origin haplotypes while the population specific haplotypes developed later.
Study of microbial infection in Asthenozoospermia patients

The pathogenic infection is an important cause of male infertility. The etiological role of infection in male infertility has been paid more attention in recent years. Asthenozoospermia may play a major role in infectious process which leads to deterioration of spermatogenesis, sperm motility and its morphological changes. The results of our study showed that 40% of infertile men were positive to at least for one pathogen. Moreover, there was an important relation between the bacteriospermia and sperm impairment. The rate of non-motile sperm and morphologically abnormal sperm was higher in infertility cases. Bacteria were isolated and their effects on sperm court, motility and morphological defects were studied. From the above studies, it was clear that the dominant bacteria such as Escherichia coli (40%), Staphylococcus aureus (28%). Pseudomonas aeroginosa (14%), proteus mirabilis (8%) were responsible for sperm motility and morphological changes. Mycoplasma hominis were present in lowest population (4%), so it was not taken into the account. But this also caused sperm motility and morphological changes in spermatozoa. The infections were compared with sperm motility and
Automated validation of data from a rainfall network Validation automatique des données d'un réseau pluviométrique

Rainfall data of good quality is essential for hydrological design. At the same time, data validation is a resource demanding process that often requires of specialist’s knowledge; therefore, it is preferable to define computer algorithms to perform this operation. In this paper, revision for five minute precipitation data is described. Criteria are grouped as follows. Transmission errors are related to the transfer of data from the rain gauge to a central station. During boundary verification data is compared with values corresponding to 20 years return period on different probability distribution curves. Spatial correlation criteria check data in relation with values at neighboring stations. Based on the criteria a quality indicator is defined. Pilot test led to good results in identification of problematic data and in computational efficiency.