Miracle-dz/UniFAR-FTUs huggingface dataset:
Chemokine Receptor 7 Contributes to Survival of KRAS-Mutant Non-Small Cell Lung Cancer upon Loss of Epidermal Growth Factor Receptor

KRAS-driven non-small cell lung cancer (NSCLC) patients have no effective targeted treatment. In this study, we aimed to investigate targeting epidermal growth factor receptor (EGFR) as a therapeutic approach in KRAS-driven lung cancer cells. We show that ablation of EGFR significantly suppressed tumor growth in KRAS-dependent cells and induced significantly higher expression of CX chemokine receptor 7 (CXCR7) and activation of MAPK (ERK1/2). Conversely, rescue of EGFR led to CXCR7 downregulation in EGFR−/− cells. Dual EGFR and CXCR7 inhibition led to substantial reduction of MAPK (pERK) and synergistic inhibition of cell growth. Analysis of two additional EGFR knockout NSCLC cell lines using CRISPR/Cas9 revealed genotype dependency of CXCR7 expression. In addition, treatment of different cells with gefitinib increased CXCR7 expression in EGFRwt but decreased it in EGFRmut cells. CXCR7 protein expression was detected in all NSCLC patient samples, with higher levels in adenocarcinoma as compared to squamous cell lung carcinoma and healthy control cases. In conclusion, EGFR and CXCR7 have a crucial interaction in NSCLC, and dual inhibition may be a potential therapeutic option for NSCLC patients.
Loading-balance relay-selective strategy based on stochastic dynamic program

: A Relay-Assisted (RA) network with relay selection is considered as a type of effective technology to improve the spectrum and energy efﬁciency of a cellular network. However, loading balance of the assisted relay node becomes an inevitable bottleneck in RA network development because users do not follow uniform distribution. Furthermore, the time-varying channel condition of wireless communication is also a major challenge for the RA network with relay selection. To solve these problems and improve the practicability of the RA network, a Loading Balance-Relay Selective (LBRS) strategy is proposed for the RA network in this paper. The proposed LBRS strategy formulates the relay selection of the RA network under imperfect channel state information assumption as a Multistage Decision (MD) problem. An optimal algorithm is also investigated to solve the proposed MD problem based on stochastic dynamic program. Numerical results show that the performance of the LBRS strategy is better than that of traditional greedy algorithm and the former is effective as an exhaustive search-based method.
Synergistic Effects of Alkali , Surfactant and Polymer Solutions on Enhanced Oil Recovery

After the conventional waterflood processes a substantial amount of remaining oil resides in the reservoir due to poor sweep efficiency. However, technically it is possible to improve the recovery efficiency by applying Enhanced Oil Recovery (EOR) processes. Chemical flooding methods such as polymer, surfactant/polymer (SP) and alkaline/surfactant/polymer (ASP) flooding have been shown to be effective in recovering this unswept oil. In the Alkaline Surfactant Polymer (ASP) process, a very low concentration of the surfactant is used to achieve ultra low interfacial tension between the trapped oil and the injection fluid/formation water. Alkali reacts with the acidic components in the crude oil to form additional surfactant. Polymer is used to increase the viscosity of the injection fluid, to minimize channeling, and provide mobility control. Before injecting ASP slug it is very much important to study the rheological and interfacial properties of the slug at different concentration of alkaline, surfactant and polymer to get the optimum properties of the slug for maximum oil recovery. The primary objective of this paper is to obtain an optimized condition where different concentrations of alkali, surfactant and polymer can produce desirable rheological and interfacial properties for its use in enhanced oil recovery. An experimental study was conducted to examine the effects of various alkalis, surfactants and brines on the viscosity of dilute aqueous solutions of polyacrylamide polymer. The experiments were also performed to measure the reduction of surface tension at different concentration of surfactant and alkali solutions in presence and absence of polymer solution. The results obtained are analyzed and found to be encouraging for enhanced oil recovery.
Estad́ıstica Random fuzzy sets : why , when , how 1

Random elements of non-Euclidean spaces have reached the forefront of statistical research with the extension of continuous process monitoring, leading to a lively interest in functional data. A fuzzy set is a generalized set for which membership degrees are identified by a [0, 1]-valued function. The aim of this review is to present random fuzzy sets (also called fuzzy random variables) as a mathematical formalization of data-generating processes yielding fuzzy data. They will be contextualized as Borel measurable random elements of metric spaces endowed with a special convex cone structure. That allows one to construct notions of distribution, independence, expectation, variance, and so on, which mirror and generalize the literature of random variables and random vectors. The connections and differences between random fuzzy sets and random elements of classical function spaces (functional data) will be underlined. The paper also includes some bibliometric remarks, comments on the statistical analysis of fuzzy data, and pointers to the literature for the interested reader.
UvA-DARE ( Digital Academic Repository ) Optimizing strategies in gastrointestinal surgery

Objective To investigate which perioperative treatment, i.e. laparoscopic or open surgery combined with fast track (FT) or standard care, is the optimal approach for patients undergoing segmental resection for colon cancer. Summary background data Important developments in elective colorectal surgery are the introduction of laparoscopy and implementation of FT care, both focusing on faster recovery. Methods In a nine-centre trial, patients eligible for segmental colectomy were randomized to laparoscopic or open colectomy, and to FT or standard care, resulting in four treatment groups. Primary outcome was total postoperative hospital stay. Secondary outcomes were postoperative hospital stay, morbidity, reoperation rate, readmission rate, in-hospital mortality, quality of life at two and four weeks, patient satisfaction and in-hospital costs. Four hundred patients were required to find a minimum difference of one day in hospital stay. Results Median total hospital stay in the laparoscopic/fast track group was 5 (inter-quartile range: 4-8) days; open/fast track 7 (5-11) days; laparoscopic/standard 6 (4.5-9.5) days, and open/standard 7 (6-13) days (P<0.001). Median postoperative hospital stay in the laparoscopic/fast track group was 5 (4-7) days; open/fast track 6 (4.5-10) days; laparoscopic/ standard 6 (4-8.5) days and open/standard 7 (6-10.5) days (P<0.001). Secondary outcomes did not differ significantly among the groups. Regression analysis showed that laparoscopy was the only independent predictive factor to reduce hospital stay and morbidity. Conclusions Optimal perioperative treatment for patients requiring segmental colectomy for colon cancer is laparoscopic resection embedded in a FT program. If open surgery is applied, it is preferentially done in FT care. Chapter 7
RELATIONS AND OPERATIONS ON PREDICATES IN THE THEORY OF INTELLIGENCE

Purpose. The purpose of the paper is to develop a formal technique of the theory of intelligence, namely, to develop the model and axiomatics in the language of algebra of finite predicates (AFP); to introduce a system of operations on relations; to construct of the algebra of relations. Methods. The methods of algebra of finite predicates, Boolean algebra and axiomatic method are used in the paper. Results. In the paper the mathematical apparatus of the theory of intellect was further developed. The models and axiomatics of relations in the language of algebra of finite predicates (AFP) are developed, operations on relations such as the injection, equivalence, surjection, quasi-order, partial order, circulation and product of the relation are introduced. The algebra of relations is constructed. The system of operations on predicates in the algebra of finite predicates, namely, the Boolean negation, disjunction, conjunction, implication, equivalence is axiomatically assigned. The basic predicates (predicates of object recognition) are introduced. Conclusions. The predicates of different orders correspond to concepts of a different level of abstraction. The solution of the AFP equations can be interpreted as a creative activity of a person. Due to the presence of such a wide and meaningful interpretation, even the purely mathematical development of the AFP allows at the same time to impel the development of the theory of intelligence. The minimization, decomposition, solution of equations, identical transformation of formulas are important tasks of the theory of intelligence.
The Relationship between Aquatic Macrophytes and Water Quality in New Calabar River Niger Delta Nigeria

The term “aquatic macrophyte” refers to large visible plants having at least their vegetative parts growing permanently or periodically in aquatic habitats/ environment. They are group of large macroscopic photosynthetic organism usually growing with their roots in soil or water (Jones et al. 2012). Macrophytes are important components of the aquatic ecosystem because they enhance the physical structure of habitats and biological complexity which increases biodiversity within the littoral zones (Esteves, 1998, Wetzel, 2001, Peliciceet al. 2008). In addition both live and dead materials (detritus) from aquatic macrophyte may serve as food resources for aquatic and terrestrial organisms (Lopes et al. 2007). The study of aquatic macrophyte is an essential component of understanding a water body due to its important ecological role and its ability to characterize the water quality (Gharzanet al. 2006). Aquatic macrophytes can be efficient indicators of water quality and their presence may enhance water quality due to their ability to absorb excess load of nutrients (Petre, 1990).
Reconstructing robust phylogenies of metastatic cancers

A comprehensive understanding of the clonal evolution of cancer is critical for understanding neoplasia. Genome-wide sequencing data enables evolutionary studies at unprecedented depth. However, classical phylogenetic methods often struggle with noisy sequencing data of impure DNA samples and fail to detect subclones that have different evolutionary trajectories. We have developed a tool, called Treeomics, that allows us to reconstruct the phylogeny of a cancer with commonly available sequencing technologies. Using Bayesian inference and Integer Linear Programming, robust phylogenies consistent with the biological processes underlying cancer evolution were obtained for pancreatic, ovarian, and prostate cancers. Furthermore, Treeomics correctly identified sequencing artifacts such as those resulting from low statistical power; nearly 7% of variants were misclassified by conventional statistical methods. These artifacts can skew phylogenies by creating illusory tumor heterogeneity among distinct samples. Importantly, we show that the evolutionary trees generated with Treeomics are mathematically optimal.
SpaceWeather Evaluating the Skill of Forecasts of the Near-Earth Solar Wind Using a Space Weather Monitor at L 5

Forecasting space weather is an essential activity for increasing the resilience of modern technological infrastructure to hazards from the Sun. To provide an accurate forecast, space weather monitors positioned at L5 are proposed that carry in situ plasma detectors. Here we use data from the STEREO and ACE missions to investigate how well it is possible to predict the solar wind when there are two spacecraft located with the same longitudinal separation as from L5 to Earth. There are four intervals when this is the case: STEREO-to-STEREO both on the Earth’s side and the far side of the Sun, STEREO-B to ACE and ACE to STEREO-A. We forecast the solar wind by mapping the observed solar wind at the first spacecraft to the second using a time delay calculated using the spacecraft’s heliographic longitudinal separation and the difference in radial distance from the Sun, allowing for the solar wind speed. Using forecasting skill scores, we find that the predicted and observed solar wind data are, in general, in very good agreement with each of the four periods, including observed corotating interaction regions. However, there are some notable exceptions when corotating interaction regions have been missed by the forecast. The skill improves further for all time periods when removing coronal mass ejections, which cannot be predicted in this method. We suggest that an L5 monitor should be located at the same heliographic latitude as the Earth to optimize the forecasting ability of the monitor and to reduce the chance of missing important events. Plain Language Summary A space weather monitor spacecraft has been proposed away from the Earth’s viewing direction, which is likely to help improve the warning of solar events that could be heading towards Earth. In this study, we investigate whether such a spacecraft can improve our predictions of important physical values that are associated with the solar wind. To do this, we use times when two spacecraft have previously been in similar locations with respect to each other and map each value from one spacecraft to the other, making several important considerations relating to the spacecraft’s motion and the movement of the plasma that they are embedded within. We have used “skill scores,” which are used to assess weather forecasts to quantify how well our forecast performs. We find that a spacecraft at this location predicts almost all important values better than relying on a spacecraft at L1. This means that a detector of these parameters is essential for when the mission is commissioned.
Short Communication: Floristic survey of vascular plant in the submontane forest of Mt. Burangrang Nature Reserve, West Java, Indonesia

Abstract. Cahyanto T, Efendi M, Shofara RM. 2019. Short Communication: Floristic survey of vascular plant in the submontane forest of Mt. Burangrang Nature Reserve, West Java, Indonesia. Biodiversitas 20: 2197-2205. A floristic survey was conducted in submontane forest of Block Pulus ​​Mount Burangrang West Java. The objectives of the study were to inventory vascular plant and do quantitative measurements of floristic composition as well as their structure vegetation in the submontane forest of Nature Reserves Mt. Burangrang, Purwakarta West Java. Samples were recorded using exploration methods, in the hiking traill of Mt. Burangrang, from 946 to 1110 m asl. Vegetation analysis was done using sampling plots methods, with plot size of 500 m2 in four locations. Result was that 208 species of vascular plant consisting of basal family of angiosperm (1 species), magnoliids (21 species), monocots (33 species), eudicots (1 species), superrosids (1 species), rosids (74 species), superasterids (5 species), and asterids (47), added with 25 species of pterydophytes were found in the area. The three families of plants are Lauraceae (10 species), Urticaceae (9 species), and Rubiaceae (8 species) dominating those areas. Fourteen species belong to IUCN red list: Least concern/LC (12 species), Vulnerable/VU (1 species), and endangered/EN (1 species). Furthermore, Castanopsis argentea A.DC, Pinanga javana Blume and Amorphophallus decus-silvae Backer & Aldrew belonging to protected plants are also found in the area. Based on the assessment of analysis vegetation, the forest has experienced disturbance, the density of trees is commonly low and has a lot of gaps. Many vacant lots are found. On the other side, there is the presence of invasive plant species that may slow down a succession into climax growth of local plant.
The Effect of Social Problem-Solving Skills Training on the Educational Resilience of Children in Labour

This article aimed to study the effect of social problem solving skills training on the educational resilience of children in labour. The statistical population of the study included all the girls in labour, aged 12 to 18 years old, who were supported by the educational charity centres and associations in Tehran in the academic year of 2018-2019. The sample body consisted of 30 individuals from the population, who scored the lowest grades in the educational resilience questionnaire. They were randomly assigned to two experimental and control groups. To measure the educational resilience, the educational resilience questionnaire (Samuels, 2004) was used. The study was of quasi-experimental nature with pre-test, post-test and the control group. The experimental group was trained for 8 sessions to learn the social problem solving based on Dizurilla’s and Goldfried model. Post-test was conducted for both groups. To examine the effect of problem solving training on the educational resilience, the Multivariate Covariance Analysis was performed. The results showed that the social problem solving training affects the learners’ problem-based bias and providence.
POTENTIALLY CURATIVE MULTIVISCERAL RESECTIONS FOR LOCALLY ADVANCED COLORECTAL CANCER Vesselin Marinov Minimally Invasive and Laparoscopic Surgery , HPB and General Surgery Clinic , Tokuda Hospital

BACKGROUND: Performing multivisceral resections in locally advanced colorectal cancer is the only way to achieve surgical radicality in the treatment of this disease. The frequency of such cases remains high as a result of the global increase in morbidity and poor health culture of the population. Locally advanced colorectal cancer has exclusive specificity in terms of its location upper abdominal floor, pelvic area and requires multidisciplinary surgical skills and experience. Early perioperative results in 128 cases of potentially curative multivisceral resections are reported in this publication.
Data Pruning in Recommender Systems Research: Best-Practice or Malpractice?

Many recommender-system datasets are pruned, i.e. some data is removed that wouldn’t be removed in a production recommender-system. For instance, the MovieLens dataset contains only data from users who rated 20 or more movies.1 Similarly, some researchers prune data themselves, and conduct 1The ’MovieLens Latest Full’ dataset is not pruned. All other variations of MovieLens are pruned (100k, 1m, 10m, .). However, ’MovieLens Latest Full’ is not recommended for research as it is changing over time. their experiments only on subsets of the original data, sometimes as little as 0.58% of the original data. We conduct a study to find out how often pruned data is used for recommender system research, and what the effect of data pruning is. We find that 40% of researchers used pruned recommender system datasets for their research, and 15% pruned data themselves. MovieLens is the most used dataset (40%) and can be considered as a defacto standard dataset. Based on MovieLens, we found that removing users with less than 20 ratings is equivalent to removing 5% of ratings and 42% of users. Performance differs widely for different user groups. Users with less than 20 ratings have an RMSE of 1.03 on average, i.e. 23% worse than users with 20+ ratings (0.84). Ignoring these users may not be always ideal. We discuss the results and conclude that pruning should be avoided, if possible, though more discussion in the community is needed. ACM RecSys 2019 Late-breaking Results, 16th-20th September 2019, Copenhagen, Denmark Copyright ©2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International
Neural Tree Transducers for Tree to Tree Learning

We introduce a novel approach to tree-to-tree learning, the neural tree transducer (NTT), a top-down depth first context-sensitive tree decoder, which is paired with recursive neural encoders. Our method works purely on tree-to-tree manipulations rather than sequence-to-tree or tree-to-sequence and is able to encode and decode multiple depth trees. We compare our method to sequence-to-sequence models applied to serializations of the trees and show that our method outperforms previous methods for tree-to-tree transduction.
The Evaluation of the Effective Diameter ( D eff ) Calculation and its Impact on the Size-Specific Dose Estimate ( SSDE )

Information on the effective diameter ( D eff ) is essential for estimating the dose for patients undergoing CT examinations. The purpose of this study was to calculate the effective diameter using the maximum values of lateral (LAT) and anterior-posterior (AP) diameters ( D eff,m ) and using LAT and AP diameters taken from the center of the image ( D eff,c ), and compare d both estimates to the effective diameter calculated directly from the cross-sectional area of the patient ( D eff,A ). We evaluated 164 patients who underwent the four most frequent CT examinations, namely pelvic, abdominal, thoracic, and head examinations, using a multi-detector CT (MDCT), the Toshiba Aquilion 128. We calculated the percentage differences between D eff,c and D eff,m from D eff,A . We also used the Wilcoxon-Mann-Witney U test to statistically determine whether differences were significant. While D eff,m is statistically no different ( p > 0.05) from D eff,A , D eff,c is statistically different ( p ˂ 0.05) from D eff,A except for head examinations. Received: 31 May 2016 ; Revised: 14 December 2016 ; Accepted: 20 January 2017
EUCLIDESTM Concentrator Power Plant Using Parabolic Troughs

Based on the technology of the EUCLIDES Concentrator, developed in the JOULE programme, a demonstration plant was proposed to and subsidised by the JOULE-THERMIE Programme in 1996. The objective was to identify the most adequate sub-contractors for developing the tooling and manufacturing the components of this new technology to probe its industrial feasibility and cost reducing potential. The EUCLIDES components are all original developments for this parabolic trough concentrator: cells encapsulated into receiving modules, passive heat sinks, metallic on site shaped mirrors, one unique axis tracking structure for 250 sq. meters and transformer-less inverter. An accurate model of all the components allows to calculate the energy to be produced at any site. According with the actual cost of the system, the energy produced in Granadilla, at the SE of Tenerife Island, will cost 0.136 $/kW.h, it is, 58 % of the cost if produced by a flat panel system of the same size on the same site. The plant is now being deployed and will be finish and grid connected by October 1998.