Miracle-dz/UniFAR-FTUs huggingface dataset:
Gene Expression in Barrett’s Esophagus Cell Lines Resemble Esophageal Squamous Cell Carcinoma Instead of Esophageal Adenocarcinoma

Simple Summary Stable cell lines derived from primary tissues and tumors are widely used in medical research. This study presents interesting findings from evaluation of publicly available gene expression profiles (GEPs) of primary tissues derived from the normal esophagus, Barrett’s esophagus (BE), esophageal adenocarcinoma (EAC), esophageal squamous cell carcinoma (ESCC), as well as available esophageal cell lines. We observed that the GEPs of currently available BE cell lines deviate from the GEPs of primary BE tissues (columnar) and EAC tumors (glandular), and are unexpectedly similar to the GEPs of normal esophageal mucosa and ESCC tumors. In vitro exposure to an acid and bile environment was not sufficient to reverse this “squamous like” GEP adopted by a BE cell line, BAR-T. This incomprehensible change in the GEP may result in ambiguous changes in the phenotype of the BE cell lines, and needs careful consideration during experimental design. Abstract Esophageal adenocarcinoma (EAC) is strongly associated with Barrett’s esophagus (BE), a pre-malignant condition resulting from gastric reflux. Esophageal squamous cell carcinoma (ESCC), the other major subtype of esophageal cancer, shows strong association with smoking and alcohol intake and no association with gastric reflux. In this study, we constructed and validated gene expression signatures of EAC vs. ESCC tumors using publicly available datasets, and subsequently assessed the enrichment levels of these signatures in commonly used EAC and ESCC cell lines, normal esophageal tissues and normal esophageal cell lines, and primary BE tissues and BE cell lines. We found that unlike ESCC cell lines which were quite similar to primary ESCC tumors, EAC cell lines were considerably different from primary EAC tumors but still more similar to EAC tumors than ESCC tumors, as the genes up in EAC vs. ESCC (EAChi) had considerably lower expression in EAC cell lines than EAC tumors. However, more surprisingly, unlike various normal cell lines (EPC2, Het-1A) which were very similar to various tissues from normal esophagus, BE cell lines (BAR-T, CP-A) were extremely different from primary BE tissues, as BE cell lines had substantially lower levels of EAChi and substantially higher levels of ESCChi gene expression. This ESCC-like profile of the BAR-T remained unaltered even after prolonged exposure to an acidic bile mixture in vitro resulting in malignant transformation of this cell line. However, primary BE tissues had EAC-like gene expression profiles as expected. Only one EAC case from the Cancer Genome Atlas resembled BE cell lines, and while it had the clinical profile and some mutational features of EAC, it had some mutational features, the copy number alteration profile, and the gene expression profile of ESCC instead. These incomprehensible changes in gene expression patterns may result in ambiguous changes in the phenotype and warrants careful evaluation to inform selection of appropriate in vitro tools for future studies on esophageal adenocarcinoma.
Algorithme de recommandation adaptable pour la personnalisation d'un système mobile

This paper introduces a flexible algorithm to derive users' preferences in a mobile and distributed system. Such profiles are implicitly computed from users' spatial and interactive behaviours. A campus visit aid illustrates the benefits of the algorithm within unobtrusive recommender systems. The approach provides a set of profiles (personal, group-based and hybrid) to adapt the presentation of campus services and suit users' immediate needs and interests. A Java-based simulation framework allows designers to customize the model before in situ validation.
THE RF INJECTOR FOR THE FERMI@ELETTRA SEEDED X-RAY FEL

In the framework of the FERMI@ELETTRA project, aimed to build an x-ray FEL source based on laser-seeded harmonic generation, a crucial role is played by the electron source. This has to produce a very high quality beam, in terms of low emittance and uncorrelated energy spread. A very attractive solution is the SLAC/BNL/UCLA 1.6 cell s-band gun based upon the demonstrated high performance of this design and its descendants. This paper describes the results of the optimization studies based on the gun III design and carried out with two space charge tracking codes (GPT and ASTRA) for nominal operating parameters. In particular two different bunch charge regimes has been explored: low (few hundreds of pC) and high (∼ 1nC). In the first case, the limited charge extracted from the photocathode allows to propagate a bunch with an initial higher density and to compress it along the linac down to a few hundreds of fs, attaining a high peak current bunch with a very low slice emittance. The second case has been investigated in order to verify the possibility to produce a “1ps plateau” bunch with acceptable peak current and a slice emittance lower than 2 mm mrad. We present simulation results for both cases.
International of Advanced Research in Computer Science and Software Engineering Scope of Multilevel Phase Change Memory in Future Memory Systems

— The main memory currently being used is facing challenges due to its scalability, cost and power issues. Over the last few years, the number of multi-core processors in the market being demanded are increasing due to their ability to handle multiple processes concurrently, thus making them the mainstream of modern computing. Multi-core systems have multiple cores integrated in a single chip and a circuit installed on such system may consist of several of such chips. With systems shrinking, the size of the electrons per cell is also reducing which is creating problems in voltage induction and charge storage. Thus, the main memory is already reaching to its cost as well as power limits. Also, scaling DRAM on and above 40 nm is getting increasingly harder, making it inept for future systems and Cloud Computing services. PCM combines the best characteristics of various memory types, which makes it compelling for system architects for future high end applications and products to take its benefits. This paper enlightens the scope of the multilevel Phase Change Memory (PCM or Pram) in future memory systems as it has much to offer in terms of scalability, speed, storage density, non-volatility and less energy consumption that makes it fit for technologies like cloud and computing systems of the future.
A pro-active and collaborative approach to reverse logistics—a case study

Reverse logistics is considered to be the key for re-manufacturing and sustainable development. It has gained increasing attention in the last decade and has been a new frontier of strategic management. One of the driving forces for firms to adopt the reverse logistics practice is cost saving from reverse logistics activities. Another motivation to put reverse logistics forward is probably due to environmental impacts on non-returnable materials. Reverse logistics, however, may require cooperation of more than one company and hence it is generally poorly managed due to self-interest of different companies. Therefore, a pro-active and collaborative approach to reverse logistics is demanded. This paper reports a case study of using returnable packaging materials between a manufacturer and an original equipment manufacturer (OEM) supplier. A cross-company team was established to pursue the goal of the reverse logistics project. Tangible and intangible benefits of reverse logistics from this case study are presented in this paper.
Weighted P-Rank Algorithm Based on aHeterogeneous Scholarly Network

The evaluation of scientific article has always been a very challenging task because of the dynamicchange of citation networks. Over the past decades, plenty of studies have been conducted on thistopic. However, most of the current methods do not consider the link weightings between differentnetworks, which might lead to biased article ranking results. To tackle this issue, we develop aweighted P-Rank algorithm based on a heterogeneous scholarly network for article ranking evaluation.In this study, the corresponding link weightings in heterogeneous scholarly network can be updatedby calculating citation relevance, authors’ contribution, and journals’ impact. To further boost theperformance, we also employ the time information of each article as a personalized PageRank vectorto balance the bias to earlier publications in the dynamic citation network. The experiments areconducted on three public datasets (arXiv, Cora, and MAG). The experimental results demonstratedthat weighted P-Rank algorithm significantly outperforms other ranking algorithms on arXiv andMAG datasets, while it achieves competitive performance on Cora dataset. Under different networkconfiguration conditions, it can be found that the best ranking result can be obtained by jointlyutilizing all kinds of weighted information.
A method of lowering bearing current with embedded circular comb-like coil

Common mode voltage generated by PWM switching causes motor bearing failures in inverter-motor drive systems, since bearing current runs through parasitic capacitances and motor bearings to ground. In this paper, we propose a method of reducing bearing current with the use of an embedded circular comb-like coil in the stator slots. We verified the validity of the proposed method by simulation and experiment.
Improvement of stability and load sharing in an autonomous microgrid using supplementary droop control loop

This paper investigates the problem of appropriate load sharing in an autonomous microgrid. High gain angle droop control ensures proper load sharing, especially under weak system conditions. However, it has a negative impact on overall stability. Frequency-domain modeling, eigenvalue analysis, and time-domain simulations are used to demonstrate this conflict. A supplementary loop is proposed around a conventional droop control of each DG converter to stabilize the system while using high angle droop gains. Control loops are based on local power measurement and modulation of the d-axis voltage reference of each converter. Coordinated design of supplementary control loops for each DG is formulated as a parameter optimization problem and solved using an evolutionary technique. The supplementary droop control loop is shown to stabilize the system for a range of operating conditions while ensuring satisfactory load sharing.
Evolution of influenza A virus in intensive and free-range swine farms in Spain

Abstract Swine harbor genetically diverse influenza A viruses (IAVs) with the capacity to host-switch to humans, causing global pandemics. Spain is the largest swine producer in Europe and has a mixed production system that includes ‘white coat’ pigs raised intensively in modern buildings and free-range Iberian pigs that interface differently with humans, wildlife, and other swine. Through active longitudinal IAV surveillance in nine Spanish provinces during 2015–9, we generated forty-seven complete or near-complete genome sequences from IAVs collected from swine in both systems. Genetically diverse IAVs were identified in intensively raised white pigs and free-range Iberian pigs, including new H3N1 reassortants. Both systems are dynamic environments for IAV evolution, but driven by different processes. IAVs in white pigs were genetically related to viruses found in swine raised intensively in other European countries, reflecting high rates of viral introduction following European trade routes. In contrast, IAVs in Iberian pigs have a genetic makeup shaped by frequent introductions of human IAVs, reflecting rearing practices with high rates of human contact. Transmission between white and Iberian pigs also occurred. In conclusion, Iberian swine with high rates of human contact harbor genetically diverse IAVs and potentially serve as intermediary hosts between white pigs and humans, presenting an understudied zoonotic risk that requires further investigation.
Airborne measurements of directional reflectivity over the marginal sea ice zone

Abstract. The directional reflection of solar radiation by the Arctic Ocean is dominated by two main surface types: sea ice (often snow-covered) and ice-free (open) ocean. However, in the transitional marginal sea ice zone (MIZ), the reflection properties of both surface types are mixed, which might cause uncertainties in the results of retrieval methods of atmospheric parameters over the MIZ using airborne and satellite measurements. To quantify these uncertainties, respective measurements of reflection properties of the MIZ are needed. Therefore, in this study, an averaged hemispherical-directional reflectance factor (HDRF) of the inhomogeneous surface (mixture of sea ice and open ocean surfaces) in the MIZ is derived using airborne measurements collected with a digital fish-eye camera. For this purpose, a sea ice mask was constructed to separate the reflectivity measurements from sea ice and open ocean pixels. The separated data sets were accumulated and averaged to provide separate HDRFs for sea ice and open ocean surfaces. The respective results were compared with simulations and independent measurements available from the literature. Using the sea ice fraction derived in parallel from the digital camera images, the mixed HDRF describing the directional reflectivity of the inhomogeneous surface of the MIZ was reconstructed by a linear weighting procedure. The result was compared with the original measurements of directional reflectivity over the MIZ. It is concluded that the HDRF of the MIZ can be well reconstructed by linear combination of the HDRFs of homogeneous sea ice and open ocean surfaces, accounting for the special conditions present in the MIZ compared to homogeneous surfaces.
Optimizing Hadoop parameter for speedup using Q-Learning Reinforcement Learning

Hadoop is the most popular open source big data processing platform which is being used in many big data analytics applications. The performance of Hadoop can be fine-tuned for application performance requirements by adjusting the value of the some of the configuration parameters. Various methods have been proposed in literature for fine tuning the configuration parameters of Hadoop. The relation between the Hadoop performance tuning parameters and speed up is dependent on the nature of the applications and environment dynamics. Tuning the parameters without consideration of these dynamics results in sub optimal configurations and lower performance. Adaptive reinforcement learning using Q-Learning is proposed in this work to fine tune the configuration parameters with the objective of reducing the error between desired and achieved service level agreement (SLA).
Full-Scale Investigation of Differential Settlements beneath a Geosynthetic-Reinforced Soil Bridge Abutment

Geosynthetic-reinforced soil bridge abutments can be constructed quickly and at lower cost than traditional alternatives. However, the lack of deep foundation elements contributes to a perceived vulnerability to differential settlements at the foundation level, either because of scour undermining or compressible soils beneath the foundation. A full-scale abutment was constructed, instrumented, and subjected to carefully controlled differential settlements. Data collected during construction indicate that the abutment adequately supported the surcharge load. Subsequent large differential settlements imposed at the foundation level resulted in small surface expression of differential settlements, redistribution of stresses within the reinforced fill, and adequate support at the level of the superstructure. However, the facing units appeared vulnerable to removal, potentially exposing the reinforced fill to erosion. Three measures to help mitigate this risk are discussed: pinning the concrete masonry units (CMUs) near the corner of the abutment, adding a protective wrap behind the CMUs to encapsulate the fill, and increasing the reinforcement length at the base of the abutment.
Numerical Prediction of Noise from Round and Beveled Nozzles

Numerical simulations of the flow field and the noise generated by round and beveled nozzles are carried out. The objective of this study is to gain insights into the flow characteristics that yield a noise reduction for the beveled nozzle. For aircraft applications, the geometry of the nozzles must be optimized both for aerodynamic and acoustic performance. Results from both RANS and LES computations are presented. The aerodynamic predictions from RANS are in very good agreement with experimental measurements. The noise predictions from LES agree with the trends observed in the measurements. Given the complexity of the problem and the extreme grid requirements, good spectral predictions are obtained, albeit with a strict limit on the maximum Strouhal number. For the subsonic jets, the noise is consistently under-predicted close to the jet direction. The results are encouraging and this study is a part of on-going efforts to better understand the flow physics, and possibly derive fresh ideas from a broad visibility of the turbulence.
Theoretical analysis of room temperature InAs/sub 0.89/Sb/sub 0.11/ mid-infrared (MIR) photodetector for CO detection

A complete theoretical model of a mid-infrared double heterostructure photodetector has been developed. The model is physics based one and takes into account all the dominant mechanisms that shape the characteristics of room temperature MIR detectors. In this paper the detectivity, V-I characteristics and photo-response of an InAs/sub 0.55/Sb/sub 0.15/P/sub 0.30//InAs/sub 0.89/Sb/sub 0.11//InAs/sub 0.55/Sb/sub 0.15/P/sub 0.30/ double heterostructure mid-infrared photodetector have been analyzed. This photodetector has an extended spectral response (2.5 /spl mu/m to 5.0 /spl mu/m) as compared to other currently available III-V room temperature detectors. The maximum detectivity of 1.18/spl times/10/sup 7/ mHz/sup 1/2/ W/sup -1/ and responsivity of 0.83 A/W are obtained near cut-off wavelength at 5 /spl mu/m. This device could be used as an optical sensor for the environmental monitoring of carbon monoxide.
Ring diagnostics and consistency test of the model for the AGS Booster

From a systematic analysis of readings of the beam position monitors in the AGS Booster ring, combined with the transfer matrices between a few locations in the ring, calculated with MAD, the consistency of the model of the lattice has been tested. This technique has enabled us to (i) detect errors in the machine that subsequent survey during shutdown has confirmed, and (ii) to measure the actual circulating beam momentum offset. The method has proved rather general and convenient for accelerator diagnostics as part of a model-based accelerator control system and extensions are suggested. <<ETX>>
Coupled‐fed printed antenna for LTE mobile handset applications

An eight‐band printed antenna with a T‐shaped feeding line coupled to a parasitic inverted‐F structure is presented. The antenna provides bandwidth to cover low band of LTE700/GSM850/GSM900 and high band of GSM1800/GSM1900/UMTS2100 and LTE2300/2500. Low‐band efficiency is over 50% and high‐band efficiency is over 60%. This antenna also meets specific absorption rate in US and other regions. It occupies a small area of 17 × 58 mm2 and can be possibly integrated into compact mobile handset devices. © 2014 Wiley Periodicals, Inc. Microwave Opt Technol Lett 56:1752–1756, 2014
OPTIMAL ALLOCATION OF LANDFILL DISPOSAL SITE: A FUZZY MULTI-CRITERIA APPROACH

The arbitrary disposal through land-fill sites and also the unscientific management of solid wastes generated by domestic, commercial and industrial activities leading to serious problems of health, sanitation and environmental degradation in India demand an immediate proper solid waste disposal planning otherwise it may cause a serious problem, especially in small and medium-sized cities/towns if proper steps are not initiated now. The present paper aims to develop decision support systems to allocate the best landfill disposal site among the given alternative sites for Vidya Vihar, Pilani, Rajasthan, India. The technique is applied to determine the overall strategy for planning of solid waste disposal and management, while taking into account its environmental impact, as well as economical, technical and sustainable development issues. The model effectively reflects dynamic, interactive, and uncertain characteristics of the solid waste management system and provides decision-makers with a decision tool to make a better decision while choosing a municipal solid waste management strategy.
ALLELOPATHIC POTENTIAL OF AQUEOUS EXTRACT OF LEAF AND ROOT SESAME ON SICKLEPOD AND BRACHIARIA SEEDS

Sicklepod is an important weed in Brazil pastures, but control measures are not yet effective. Thus, allelopathy can be an alternative, due to its ecological importance and for being able to provide new structures sources for agrochemicals production. This research aimed to verify the allelopathic potential of sesame (Sesamum indicum L.) on germination and seedling development of sicklepod (Senna occidentalis L.) and brachiaria (Brachiaria brizantha). The treatments were root and leaf extract of sesame, and control (distilled water). Germination percentage, speed of germination, hypocotyl and radicle length were evaluated. Speed of germination, germination percentage and radicle length had no interference from the aqueous extracts. However, in brachiaria these traits had lower values than sicklepod. Hypocotyl length was not influenced by the extracts, however, the leaf extract showed lower growth of this feature. Allelopathy did not affect germination and speed of germination in both species, but interfered in brachiaria development.
The impact of disability on motherhood decisions: New evidence from Spain

Abstract There exists a high proportion of women with disabilities who decide to be mothers although there is a high stigma about their capabilities. The objective is to analyze the impact of disability, among other socioeconomic conditions, on the motherhood decisions. We compared the results of treating disability as exogenous with a bivariate probit model. A cross-sectional analytical study has been analyzed by using data from the Fecundity Survey of 2018. The model estimates the probability of having children having disability, which is a 3.5%. Moreover, motherhood propensity for disabled women is 0.4 percentage points lower than for non-disabled. In this article the authors undertook a significant literature review, then it is included a development of the theoretical and methodology framework for analyzing the effect of disability on the attitudes of women toward the decision of having children. In this context, many disabled women have successfully become mothers but the existent barriers have unmotivated others. The difficulty is basically due to the stigma about their mothering capabilities or associated with physical conditions such as risk of abortion or even a worsening of health. The economic framework under our specification is an extension of the Households Health Production Model where women derive utility from having children and they use their skills, knowledge or time to achieve their objective. In this case, to have children is the outcome and education, health status and other socioeconomic factors are the inputs. Having children is only one of the sources of utility that a woman has, they also derive utility from labor time, consumption or healthcare, among others. Despite several studies used this methodology to analyze motherhood decisions in many Countries in the world, the impact of disability is much less explored.