Miracle-dz/UniFAR-FTUs huggingface dataset:
Dissociated Primary Human Prostate Cancer Cells Coinjected with the Immortalized Hs5 Bone Marrow Stromal Cells Generate Undifferentiated Tumors in NOD/SCID-γ Mice

Reconstitution of tumor development in immunodeficient mice from disaggregated primary human tumor cells is always challenging. The main goal of the present study is to establish a reliable assay system that would allow us to reproducibly reconstitute human prostate tumor regeneration in mice using patient tumor-derived single cells. Using many of the 114 untreated primary human prostate cancer (HPCa) samples we have worked on, here we show that: 1) the subcutaneum represents the most sensitive site that allows the grafting of the implanted HPCa pieces; 2) primary HPCa cells by themselves fail to regenerate tumors in immunodeficient hosts; 3) when coinjected in Matrigel with rUGM (rat urogenital sinus mesenchyme), CAF (carcinoma-associated fibroblasts), or Hs5 (immortalized bone marrow derived stromal) cells, primary HPCa cells fail to initiate serially transplantable tumors in NOD/SCID mice; and 4) however, HPCa cells coinjected with the Hs5 cells into more immunodeficient NOD/SCID-IL2Rγ−/− (NSG) mice readily regenerate serially transplantable tumors. The HPCa/Hs5 reconstituted ‘prostate’ tumors present an overall epithelial morphology, are of the human origin, and contain cells positive for AR, CK8, and racemase. Cytogenetic analysis provides further evidence for the presence of karyotypically abnormal HPCa cells in the HPCa/Hs5 tumors. Of importance, HPCa/Hs5 xenograft tumors contain EpCAM+ cells that are both clonogenic and tumorigenic. Surprisingly, all HPCa/Hs5 reconstituted tumors are undifferentiated, even for HPCa cells derived from Gleason 7 tumors. Our results indicate that primary HPCa cells coinjected with the immortalized Hs5 stromal cells generate undifferentiated tumors in NSG mice and we provide evidence that undifferentiated HPCa cells might be the cells that possessed tumorigenic potential and regenerated HPCa/Hs5 xenograft tumors.
Inhibitory effect of curcumin on uterine leiomyoma cell proliferation

Objective. Uterine leiomyomas are the most common gynaecological benign tumour and greatly affect reproductive health and wellbeing. They are the predominant indication for hysterectomy in premenopausal women. Curcumin, a well-known component of turmeric, has been reported to prevent various diseases such as cancer, diabetes and obesity. Previous study reported that curcumin represses the proliferation of several tumour cells. However, there has not been a precise characterisation of the curcumin-induced inhibition of uterine leiomyoma cells. In this study, we investigated the inhibitory effect of curcumin on leiomyoma cells proliferation. Study design. Eker rat-derived uterine leiomyoma cell lines (ELT-3 cells) were used. Cell proliferation was assessed by counting the number of cells and MTS assay. The activation of peroxisome proliferator-activated receptor-gamma (PPARγ) was evaluated by luciferase assay. Results. We found that curcumin significantly inhibited ELT-3 cell proliferation. PPARγ was expressed in ELT-3 cells and curcumin acted as a PPARγ ligand. This inhibitory effect of curcumin was attenuated by the treatment of cells with PPARγ antagonist. Conclusion. These experimental findings in vitro show that the inhibitory effect of curcumin on ELT-3 cell proliferation occurs through the activation of PPARγ. Curcumin may be useful as an alternative therapy for uterine leiomyoma.
A next-generation Internet federation object model for the HLA

This paper reports on development of a Web-based capability for distributed simulation in large-scale virtual environments that has been developed collaboratively by the Naval Postgraduate School and George Mason University. The work brings together several Years of effort in DIS-Java-VRML and the Virtual Reality Transfer Protocol on the part of NPS with a similar period of effort by GMU in selectively reliable multicast for distributed virtual simulation combined with Java-based middleware for use with the DoD High Level Architecture (HLA) for modeling and simulation. We describe the capability we have created for simulations of military and other highly interactive, physics-based models to operate in three-dimensional visualization over advanced Internet facilities. The major components of our system are described in detail, with the intent of creating interest in their use by the academic community.
Responses to the ‘Arabellions’: The EU in Comparative Perspective — Introduction

Abstract This article introduces the themes of this special issue which is devoted to the reactions by external actors including the EU to the events unfolding in the Arab world beginning in December 2010. In particular, we look at the balancing act by external actors between their desire for stability, on the one hand, and their normative principles toward human rights and democracy, on the other. We compare the action (and inaction) of the European Union (EU) with other international and regional players, including the United States, Russia, Turkey and Israel. The contributions assess the response of these actors to the Arabellions events and analyse changes in their approaches to the Arab region. We ask three questions: (1) How have external actors assessed the ‘Arabellions’ and what role did they see for themselves in this context? (2) Which goals and instruments did external actors pursue toward the MENA region? In particular, how did they deal with conflicting goals, such as support for human rights and democracy, on the one hand, and concerns about security and stability, on the other? (3) How can we explain the varying responses of external actors to the Arabellions?
Undetectable and Decreased Expression of KIAA1949 (Phostensin) Encoded on Chromosome 6p21.33 in Human Breast Cancers Revealed by Transcriptome Analysis

Cytogenetic aberration and loss of heterozygosity (LOH) are documented on chromosome 6 in many cancers and the introduction of a neo-tagged chromosome 6 into breast cancer cell lines mediates suppression of tumorigenicity. In this study, we described the identification of KIAA1949 (phostensin) as a putative tumor suppressor gene. Our microarray analysis screened 25,985 cDNAs between a tumorigenic and metastatic breast cancer cell line MDA-MB-231 and the chromosome 6-mediated suppressed, non-tumorigenic and non-metastatic derivative cell line MDA/H6, resulting in the identification of 651 differentially expressed genes. Using customized microarrays containing these 651 cDNAs and 117 controls, we identified 200 frequently dysregulated genes in 10 breast cancer cell lines and 5 tumor tissues using MDA/H6 as reference. Our bioinformatics analysis revealed that chromosome 6 encodes 25 of these 200 genes, with 4 downregulation and 21 upergulation. Northern analysis validated microarray results and was used to detect the size and number of RNA species of 2 downregulated (KIAA1949, PTK7) and 2 upregulated (SFRS3, HMGN3) genes in the cell lines. Particularly, the KIAA1949 gene at 6p21.33, a band region with the frequent cytogenetic aberration and LOH encodes 4 poly(A)-RNA species (4.6-, 4-, 3- and 1.5-kb) in multiple normal and breast cancer samples. Microarray analysis revealed KIAA1949 downregulation in 86.7% (n=15) of breast cancer cell lines and tumor tissues. Northern analysis demonstrated undetectable and decreased expression of KIAA1949 in 100% (n=10) of breast cancer cell lines. Taken together, these results strongly suggest KIAA1949 is a novel candidate breast cancer suppressor gene.
Optimizing Event Polling for Network-Intensive Applications: A Case Study on Redis

In today's data centers supporting Internet-scale computing and I/O services, increasingly more network-intensive applications are deployed on the network as a service. To this end, it is critical for the applications to quickly retrieve requests from the network and send their responses to the network. To facilitate this network function, operating system usually provides an event notification mechanism so that the applications (or the library) know if the network is ready to supply data for them to read or to receive data for them to write. As a widely used and representative notification mechanism, epoll in Linux provides a scalable and high-performance implementation by allowing applications to specifically indicate which connections and what events on them need to be watched. As epoll has been used in some major systems, including KV systems, such as Redis and Memcached, and web server systems such as NGINX, we have identified a substantial performance issue in its use. For the sake of efficiency, applications usually use epoll's system calls to inform the kernel exactly of what events they are interested in and always keep the information up-to-date. However, in a system with demanding network traffic, such a rigid maintenance of the information is not necessary and the excess number of system calls for this purpose can substantially degrade the system's performance. In this paper, we use Redis as an example to explore the issue. We propose a strategy of informing the kernel of the interest events in a manner adaptive to the current network load, so that the epoll system calls can be reduced and the events can be efficiently delivered. We have implemented the strategy, named as FlexPoll, in Redis without modifying any kernel code. Our evaluation on Redis shows that the query throughput can be improved by up to 46.9% on micro benchmarks, and even up to 67.8% on workloads emulating real-world access patterns. FlexPoll can be extended to other applications and event libraries built on the epoll mechanism in a straightforward manner.
SOI, interconnect, package, and mainboard thermal characterization

This paper presents an evaluation to determine the importance of the accurate thermal characterization for several elements of a semiconductor device. Specifically, it evaluates whether the decision to simplify or neglect to model metal interconnect density variation, Silicon-On-Insulator technology, the chip package, or the system main-board can effect the overall accuracy of a thermal model. In performing this evaluation, we motivate the need for more accurate thermal characterization of semiconductor devices. Through this analysis, designers are better able to understand how simplifications to their temperature models can effect the validity of design decisions derived from such models. To perform this evaluation, a novel temperature modeling infrastructure was designed that offers engineers a new way to explore solutions to a growing array of engineering problems that require accurate thermal characterization of semiconductor devices. The modeling framework, called SESCTherm, is a state-of-the-art finite-difference-based thermal modeling system.
Aerial image geolocalization from recognition and matching of roads and intersections

Aerial image analysis at a semantic level is important in many applications with strong potential impact in industry and consumer use, such as automated mapping, urban planning, real estate and environment monitoring, or disaster relief. The problem is enjoying a great interest in computer vision and remote sensing, due to increased computer power and improvement in automated image understanding algorithms. In this paper we address the task of automatic geolocalization of aerial images from recognition and matching of roads and intersections. Our proposed method is a novel contribution in the literature that could enable many applications of aerial image analysis when GPS data is not available. We offer a complete pipeline for geolocalization, from the detection of roads and intersections, to the identification of the enclosing geographic region by matching detected intersections to previously learned manually labeled ones, followed by accurate geometric alignment between the detected roads and the manually labeled maps. We test on a novel dataset with aerial images of two European cities and use the publicly available OpenStreetMap project for collecting ground truth roads annotations. We show in extensive experiments that our approach produces highly accurate localizations in the challenging case when we train on images from one city and test on the other and the quality of the aerial images is relatively poor. We also show that the the alignment between detected roads and pre-stored manual annotations can be effectively used for improving the quality of the road detection results.
A novel reannotation strategy for dissecting DNA methylation patterns of human long intergenic non-coding RNAs in cancers

Despite growing consensus that long intergenic non-coding ribonucleic acids (lincRNAs) are modulators of cancer, the knowledge about the deoxyribonucleic acid (DNA) methylation patterns of lincRNAs in cancers remains limited. In this study, we constructed DNA methylation profiles for 4629 tumors and 705 normal tissue samples from 20 different types of human cancer by reannotating data of DNA methylation arrays. We found that lincRNAs had different promoter methylation patterns in cancers. We classified 2461 lincRNAs into two categories and three subcategories, according to their promoter methylation patterns in tumors. LincRNAs with resistant methylation patterns in tumors had conserved transcriptional regulation regions and were ubiquitously expressed across normal tissues. By integrating cancer subtype data and patient clinical information, we identified lincRNAs with promoter methylation patterns that were associated with cancer status, subtype or prognosis for several cancers. Network analysis of aberrantly methylated lincRNAs in cancers showed that lincRNAs with aberrant methylation patterns might be involved in cancer development and progression. The methylated and demethylated lincRNAs identified in this study provide novel insights for developing cancer biomarkers and potential therapeutic targets.
TP53 Pro72 Allele Is Enriched in Oral Tongue Cancer and Frequently Mutated in Esophageal Cancer in India

Purpose The tumor suppressor p53 is known to be inactivated frequently in various cancers. In addition, germline polymorphisms in TP53 are known to affect protein function and influence risk of developing different types of cancers. In this study, we analyzed the association of TP53 Pro72Arg polymorphism with squamous cell carcinoma of oral tongue (SCCOT) and esophagus (ESCC) in India. Methods We assessed the distribution of TP53 Pro72Arg polymorphism in one hundred and fifteen and eighty two SCCOT and ESCC patients, respectively, with respect to one hundred and ten healthy controls from the same population. In addition, we analyzed association of the polymorphism with several clinico-pathological and molecular parameters. Results Pro72 allele was significantly enriched in SCCOT patients compared to the healthy control group but neither allele was enriched in ESCC. Interestingly, Pro72 allele was preferentially mutated in ESCC which was confirmed by analysis of samples heterozygous for Pro72Arg. Conclusions Our study revealed the association of Pro72 allele with SCCOT suggesting the effect of this polymorphism on SCCOT risk. Preferential mutation of Pro72 allele exclusively in ESCC indicates the need for further studies to understand the tissue specific effect of p53 polymorphism.
Varying demographic impacts of different fisheries on three Mediterranean seabird species

Fisheries have an enormous economic importance, but reconciling their socio‐economic features with the conservation and sustainability of marine ecosystems presents major challenges. Bycatch mortality from fisheries is clearly among the most serious global threats for marine ecosystems, affecting a wide range of top predators. Recent estimates report ca. 200,000 seabirds killed annually by bycatch in European waters. However, there is an urgent need to rigorously estimate actual mortality rates and quantify effects of bycatch on populations. The Mediterranean Sea is one of the most impacted regions. Here, we estimate for the first time both bycatch mortality rates and their population‐level effects on three endemic and vulnerable Mediterranean taxa: Scopoli's shearwater, Mediterranean shag, and Audouin's gull, that die in different types of fishing gears: longlines, gillnets and sport trolling, respectively. We use multi‐event capture–recapture modelling to estimate crucial demographic parameters, including the probabilities of dying in different fishing gears. We then build stochastic demography models to forecast the viability of the populations under different management scenarios. Longline bycatch was particularly severe for adults of Scopoli's shearwaters and Audouin's gulls (ca. 28% and 23% of total mortality, respectively) and also for immature gulls (ca. 90% of mortality). Gillnets had a lower impact, but were still responsible for ca. 9% of juvenile mortality on shags, whereas sport trolling only slightly influenced total mortality in gulls. Bycatch mortality has high population‐level impacts in all three species, with shearwaters having the highest extinction risk under current mortality rates. Different life‐history traits and compensatory demographic mechanisms between the three species are probably influencing the different bycatch impact: for shearwaters, urgent conservation actions are required to ensure the viability of their populations. Results will be very useful for guiding future seabird conservation policies and moving towards an ecosystem‐based approach to sustainable fisheries management.
Exploring interactivity and augmented reality in theater: A case study of Half Real

This paper presents a case study of Half Real, a live action, interactive theater show employing spatial augmented reality. Half Real is based on a murder investigation, where the live audience votes on how the investigation proceeds. Half Real immerses live actors into a virtual world projected onto the set. Using spatial augmented reality technology in theater brings new possibilities that would not be possible with simple video projection. Half Real models the set as a 3D virtual environment. Actors are tracked as they move about on stage, with the projected content responding to their movements. A real time AR system allows content to be generated procedurally. Half Real makes use of this by projecting vote options and results directly into the virtual environment. This paper describes Half Real, with a focus on the technology used to make the production possible. We describe the benefits of the techniques used and the challenges faced during production.
The SQUIRE (Standards for QUality Improvement Reporting Excellence) guidelines for quality improvement reporting: explanation and elaboration

As the science of quality improvement in health care advances, the importance of sharing its accomplishments through the published literature increases. Current reporting of improvement work in health care varies widely in both content and quality. It is against this backdrop that a group of stakeholders from a variety of disciplines has created the Standards for QUality Improvement Reporting Excellence, which we refer to as the SQUIRE publication guidelines or SQUIRE statement. The SQUIRE statement consists of a checklist of 19 items that authors need to consider when writing articles that describe formal studies of quality improvement. Most of the items in the checklist are common to all scientific reporting, but virtually all of them have been modified to reflect the unique nature of medical improvement work. This “Explanation and Elaboration” document (E & E) is a companion to the SQUIRE statement. For each item in the SQUIRE guidelines the E & E document provides one or two examples from the published improvement literature, followed by an analysis of the ways in which the example expresses the intent of the guideline item. As with the E & E documents created to accompany other biomedical publication guidelines, the purpose of the SQUIRE E & E document is to assist authors along the path from completion of a quality improvement project to its publication. The SQUIRE statement itself, this E & E document, and additional information about reporting improvement work can be found at http://www.squire-statement.org.
Effect of Art Production on Negative Mood and Anxiety for Adults in Treatment for Substance Abuse

Abstract This study investigated whether art production or viewing and sorting art reproductions would be more effective in reducing negative mood and anxiety for 28 adults with substance use disorders. Participants were randomly assigned to one of two groups and completed pre- and posttest measures of negative mood and anxiety The hypothesis that art production would have a greater reduction in negative mood and anxiety was initially supported by the mean scores and t-test analyses; however, it was not supported by two of three ANOVAs, which indicated that time over treatment made a difference rather than the intervention.
Towards Optimal Electric Demand Management for Internet Data Centers

Electricity cost is becoming a major portion of Internet data center (IDC)'s operation cost and large-scale IDCs are becoming important consumers of regional electricity markets. IDC's energy efficiency is gaining more attention by data center operators and electricity market operators. Effective IDC electric demand management solutions are eagerly sought by all stakeholders. In this paper, a mixed-integer programming model based IDC electric demand management solution is proposed, which integrates both the impacts of locational marginal electricity prices and power management capability of IDC itself. Dynamic voltage/frequency scaling of individual server, cluster server ON/OFF scheduling, and dynamic workload dispatching are optimized while complying with all the IDC system-wide and individual heterogeneous servers' operation constraints according to the IDC applications' temporal variant workload. Reduced electricity cost can be achieved together with guaranteed QoS requirement and reliability consideration by using the proposed model. World Cup '98 data is utilized to evaluate the effectiveness of the proposed solution. According to the experimental evaluation, electricity cost could be cut by more than 20% in a peak workload period and by more than 80% in a light workload period. Besides, more than 6% electricity cost could be cut by considering the impact of electricity price difference. Experimental results also reveal that higher QoS requirement and reliability consideration could result in higher electricity cost.
Solution of Nonlinear Magnetic Field Problems by Krylov-Subspace Methods With ${\mbi \eta}$-Cycle Wavelet-Based Algebraic Multigrid Preconditioning

The performance of eta-cycle wavelet-based algebraic multigrid preconditioner of iterative methods is investigated. It is applied to the solution of non-linear system of algebraic equations associated with the Newton-Raphson algorithm. Particular attention has been focused in both V- and W-cycle convergence factors, as well as the CPU time. Numerical results show the efficiency of the proposed techniques when compared with classical preconditioners, such as Incomplete Cholesky and Incomplete LU decomposition.