Miracle-dz/UniFAR-FTUs huggingface dataset:
Comprehensive bioinformatics analysis of the mRNA profile of PLCE1 knockdown in esophageal squamous cell carcinoma

The authors previously reported that Phospholipase C epsilon 1 (PLCE1) exacerbated esophageal squamous cell carcinoma (ESCC), however, the underlying mechanism remains to be fully elucidated. The present study aimed to identify key differentially expressed genes (DEGs) and signaling pathways regulated by PLCE1 in ESCC. EC9706 and Eca109 cell lines were transfected with the specific small interfering (si) RNA of PLCE1, reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and western blotting were performed to detect the expression levels of PLCE1, and subsequently, mRNA array and multiple bioinformatics analysis were conducted. RT-qPCR was used to verify gene expression array results. The findings of the present study indicated that PLCE1 mRNA and protein expression were significantly suppressed (P<0.05) in the PLCE1 siRNA-transfected cells. In addition, a total of 223 DEGs with >2-fold alterations were screened between the PLCE1 siRNA-treated cells, including 168 upregulated and 53 downregulated DEGs. In particular, inflammation or immune-associated molecules, including Toll-like receptor (TLR)-4 interleukin-6, −8 and chemokine C-X-C motif ligand 2 were significantly increased following PLCE1 knockdown. Furthermore, Gene Ontology enrichment revealed terms associated with cell proliferation, differentiation, apoptosis, signal transduction, invasion and metastasis, which may potentially be associated with PLCE1 function. Kyoto Encyclopedia of Genes and Genomes pathway analysis demonstrated 46 pathways were disturbed by DEGs, including focal adhesion, mitogen activated protein kinase, TLR, p53 and janus kinase/signal transducer and activator of transcription signaling pathways. The RT-qPCR results for validation of the selected DEGs were consistent with that of the microarray data. Overall, the results of the multiple bioinformatic analysis contributes to a systematic understanding of the roles of PLCE1 in ESCC.
Geography and Knowledge Spillovers in Recorded Music

Knowledge spillovers—non-rival information goods with the potential to be adapted by neighboring producers—have been the focus of a large body of empirical and theoretical economic research. However, the majority of existing work only examines two industries (academic and patent citation networks), and only focuses on estimating the effects of individual geopolitical units on knowledge spillovers. In this study, I use a regression framework to disentangle the effects of various levels of geopolitical colocation and geographic separation on knowledge spillovers within the recorded music industry. To estimate knowledge spillovers, I use a traditional measure of artist similarity and I construct a novel measurement from a comparison across artists’ Wikipedia pages. I find that colocation within geopolitical units increases knowledge transfers substantially, with the effects of city and country colocation being larger than the effect of state colocation. These effects are more pronounced than the effect of pure geographic separation, and they are weaker than those observed by comparable studies in patent-citation networks.
Wheat cytogenetics in the genomics era and its relevance to breeding

Hexaploid wheat is a species that has been subjected to most extensive cytogenetic studies. This has contributed to understanding the mechanism of the evolution of polyploids involving diploidization through genetic restriction of chromosome pairing to only homologous chromosomes. The availability of a variety of aneuploids and the ph mutants (Ph1 and Ph2) in bread wheat also allowed chromosome manipulations leading to the development of alien addition/substitution lines and the introgression of alien chromosome segments into the wheat genome. More recently in the genomics era, molecular tools have been used extensively not only for the construction of molecular maps, but also for identification/isolation of genes/QTLs (including epistatic QTLs, eQTLs and PQLs) for several agronomic traits. It has also been possible to identify gene-rich regions and recombination hot spots in the wheat genome, which are now being subjected to sequencing at the genome level, through development of BAC libraries. In the EST database also, among all plants wheat ESTs are the highest in number, and are only next to those for human, mouse, Ciona intestinalis (a chordate), rat and zebrafish genomes. These ESTs and sequences of several genomic regions have been subjected to a variety of applications including development of perfect markers and establishment of microcollinearity. The technique of in situ hybridization (including FISH, GISH and McFISH) and the development of deletion stocks also facilitated the preparation of physical maps. Molecular markers are also used for marker-assisted selection in wheat breeding programs in several countries. Construction of a wheat DNA chip, which will also become available soon, may further facilitate wheat genomics research. These enormous resources, knowledge base and the fast development of additional molecular tools and high throughput approaches for genotyping will prove extremely useful in future wheat research and will lead to development of improved wheat cultivars.
Cytotoxicity‐dependent APO‐1 (Fas/CD95)‐associated proteins form a death‐inducing signaling complex (DISC) with the receptor.

APO‐1 (Fas/CD95), a member of the tumor necrosis factor receptor superfamily, induces apoptosis upon receptor oligomerization. In a search to identify intracellular signaling molecules coupling to oligomerized APO‐1, several cytotoxicity‐dependent APO‐1‐associated proteins (CAP) were immunoprecipitated from the apoptosis‐sensitive human leukemic T cell line HUT78 and the lymphoblastoid B cell line SKW6.4. CAP1–3 (27–29 kDa) and CAP4 (55 kDa), instantly detectable after the crosslinking of APO‐1, were associated only with aggregated (the signaling form of APO‐1) and not with monomeric APO‐1. CAP1 and CAP2 were identified as serine phosphorylated MORT1/FADD. The association of CAP1–4 with APO‐1 was not observed with C‐terminally truncated non‐signaling APO‐1. In addition, CAP1 and CAP2 did not associate with an APO‐1 cytoplasmic tail carrying the lprcg amino acid replacement. Moreover, no APO‐1‐CAP association was found in the APO‐1+, anti‐APO‐1‐resistant pre‐B cell line Boe. Our data suggest that in vivo CAP1–4 are the APO‐1 apoptosis‐transducing molecules.
CORPORATE SUSTAINABILITY REPORTING: MALAYSIAN EVIDENCE

Sustainable development has become part of the ordinary business to meet expectation from stakeholders due to the increasing of public concerns regarding these issues. This study examines the sustainability practices in the annual reports of public listed companies in Bursa Malaysia for the year 2014. This paper explores the corporate sustainability reporting disclosure practice by Public listed companies of Bursa Malaysia. Specifically, the objective is to examine the factors that influence the corporate sustainability reporting in public listed companies in Malaysia. This study postulates that ownership structure (managerial, block and government holdings) and type of industry influence the level of sustainability reporting. Development of research hypotheses are based on legitimacy theory and agency theory. Results show a significant association between government ownership structure and the level of sustainability reporting among listed firms in Malaysia. Results also do indicate that industry are significant in explaining the variability in CSR. Findings should provide input to the regulatory bodies especially the government on types of sustainability information disclose on the annual reports by listed firms in Malaysia.
Scheduling directed task graphs on multiprocessors using simulated annealing

Two algorithms based on simulated annealing for minimizing the schedule length of a directed task graph on a multiprocessor system are presented. The first algorithm uses the schedule length itself as the cost function to be minimized. The second algorithm uses an indirect cost function that minimizes the total communication overhead and the total loss of parallelism simultaneously. Implementation results indicate that the first algorithm is superior to the second one in terms of the schedule length it gives, but the second algorithm is superior to the first in terms of algorithm run time. <<ETX>>
'Eve' and 'Ecstasy'. A report of five deaths associated with the use of MDEA and MDMA.

3,4-Methylenedioxymethamphetamine (MDMA, "Ecstasy"), a synthetic analogue of 3,4-methylenedioxyamphetamine, has been the center of recent debate over its potential for abuse vs its use as a psychotherapeutic agent. Following its emergency classification in Schedule 1 by the Drug Enforcement Administration in 1985, 3,4-methylenedioxyethamphetamine (MDEA, "Eve") has appeared as MDMA's legal replacement. MDMA is thought to be safe by recreational users and by psychotherapists who support its use. The details of five deaths associated with the use of MDMA and MDEA are reported. In three patients, MDMA or MDEA may have contributed to death by the induction of arrhythmias in individuals with underlying natural disease. In another patient, use of MDMA preceded an episode of bizarre and risky behavior that resulted in accidental death. In another patient, MDMA was thought to be the immediate cause of death. Death as a consequence of the use of these drugs appears to be rare, but it does occur; this outcome may be more common in individuals with underlying cardiac disease.
Refining the Search for Organizational Success Measures

Measuring organizational success is a continuous challenge for both managers and researchers. While financial measures were in wide use for many years, new frameworks have emerged in recent years that extend organizational perspectives beyond traditional financial measures. Among them the Balanced Scorecard is one of the most popular new frameworks. However, in spite of its wide usage, it has shown to be inadequate in various circumstances and across differing firm types. Additional studies are therefore needed to keep exploring a problem that has been relevant for at least thirty years. This study was dedicated to the question of how to assess the organizational success of commercial firms. It also tested specific measures that are relevant to different kinds of organizations, and provides managers with a useable template for assessing organizational success. We have identified twelve potential baseline measures across five major success dimensions (financial, market, process, people, and future) that can be examined as applicable to different firms and firm types. Specific firms can use this framework as a starting point from which to choose measures that would best fit their environment and strategic direction.
Microarray Analysis of the Genome-Wide Response to Iron Deficiency and Iron Reconstitution in the Cyanobacterium Synechocystis sp. PCC 68031[w]

A full-genome microarray of the (oxy)photosynthetic cyanobacterium Synechocystis sp. PCC 6803 was used to identify genes that were transcriptionally regulated by growth in iron (Fe)-deficient versus Fe-sufficient media. Transcript accumulation for 3,165 genes in the genome was analyzed using an analysis of variance model that accounted for slide and replicate (random) effects and dye (a fixed) effect in testing for differences in the four time periods. We determined that 85 genes showed statistically significant changes in the level of transcription (P ≤ 0.05/3,165 = 0.0000158) across the four time points examined, whereas 781 genes were characterized as interesting (P ≤ 0.05 but greater than 0.0000158; 731 of these had a fold change >1.25×). The genes identified included those known previously to be Fe regulated, such as isiA that encodes a novel chlorophyll-binding protein responsible for the pigment characteristics of low-Fe (LoFe) cells. ATP synthetase and phycobilisome genes were down-regulated in LoFe, and there were interesting changes in the transcription of genes involved in chlorophyll biosynthesis, in photosystem I and II assembly, and in energy metabolism. Hierarchical clustering demonstrated that photosynthesis genes, as a class, were repressed in LoFe and induced upon the re-addition of Fe. Specific regulatory genes were transcriptionally active in LoFe, including two genes that show homology to plant phytochromes (cph1 and cph2). These observations established the existence of a complex network of regulatory interactions and coordination in response to Fe availability.
External modulation of visual perception in humans

Static and dynamic contrast sensitivities (sCS and dCS) were evaluated before, during, immediately after and 10 min after anodal and cathodal transcranial direct current stimulation (tDCS) applied to the occipital cortex of 15 healthy subjects. Using 4 c/d spatial and 4 Hz temporal frequencies significant sCS and dCS loss was found during and immediately after 7 min cathodal stimulation while anodal stimulation had no effect. Ten minutes after the end of the stimulation the sCS and dCS values had reached the baseline levels. Our results show that primary visual functions, such as contrast detection can be transiently altered by transcranial weak direct current stimulation, most probably modulating neural excitability, as has been shown in the motor cortex previously. The present study also support the view that this method using weak current can be a non-invasive promising tool to induce reversible focal changes in the nervous system.
The Research on Cache Management of Cloud Storage

With rapid development of data intensive a pplication technology, such as scientific computing, data analytical and data mining etc, cloud storage with high availability and scalability can satisfy the application demand for the availability, scalability and performance of shared storage. Cache located on data path of shared storage has an important influence on the performance of system. In cloud storage environment based on the opening storage architecture, due to the inadaptability of the cache management, cache located on access paths provides performance acceleration, but limits availability and scalability of cloud storage system. This paper studies previous cache management technology of cluster or distributed system, and puts emphasis on availability and consistency, which bring down availability and scalability of cloud storage system. Moreover, this paper also analyzes the adaptability of previous cache management technology for cloud storage environment. Finally, we point out the future work which we will concern.
Evaluation of therapeutic targets in animal models of arthritis: how does it relate to rheumatoid arthritis?

Introduction Rheumatoid arthritis (RA) is a chronic, systemic, immune-mediated inflammatory disease associated with decreased life expectancy and quality of life. RA is characterized by chronic inflammation and synovial hyperplasia leading to destruction of cartilage and bone. A better understanding of the pathophysiology of RA has led to significant improvements in its treatment. However, many questions remain with respect to the pathogenesis of RA, and disease remission is achieved in only a minority of patients. Therefore, there is still a need to develop novel antirheumatic therapies. Animal models of RA complement descriptive studies of well-defined patient samples and in vitro studies and represent important tools for the development and evaluation of new treatment options. This review article addresses the immunologic characteristics of and similarities and differences between a variety of animal models of human RA. Commonly used animal models such as collagen-induced arthritis (CIA), adjuvant-induced arthritis (AIA), and a model of spontaneous arthritis using tumor necrosis factor (TNF)–transgenic mice are described. We also discuss the less frequently used models of streptococcal cell wall (SCW)–induced arthritis, proteoglycan-induced arthritis (PGIA), and K/BxN-transgenic mice, including the serum transfer–induced (STIA) model, to indicate the variety of animal models with specific characteristics that are available and that could be used to study specific components and stages of the inflammation process. Furthermore, we describe the effects of some targeted interventions, comparing animal studies with clinical trials. Finally, the importance of choosing a suitable animal model of arthritis for screening the preclinical efficacy of newly developed therapeutics is addressed.
Alendronate-loaded microparticles for improvement of intestinal cellular absorption

This study examined a novel alendronate formulation that was developed to overcome the shortcomings of alendronate, such as its low bioavailability and gastric adverse effects. Alendronate microparticles were prepared using mucoadhesive polymers such as chitosan for improving the intestinal cellular absorption of alendronate and also using a gastric-resistant polymer such as Eudragit L100-55 for reducing the gastric inflammation of alendronate. Alendronate microparticles including chitosan showed a threefold increase in alendronate uptake (6.92 ± 0.27%) in Caco-2 cells when compared with the uptake of alendronate solution (2.38 ± 0.27%) into Caco-2 cells. Most interestingly, alendronate microparticles including chitosan showed 2.80 × 10−6 cm/s of an apparent permeability coefficient across Caco-2 cells and caused a significant 42.4% enhancement compared with that of alendronate solution across Caco-2 cells. The morphology of the Caco-2 cells treated with alendronate microparticles including chitosan was similar to that of the untreated cells and alendronate microparticles exhibited a negative effect to propodium iodide with some annexin-V fluorescence isothiocyante positive effect. It was proposed that the novel alendronate microparticles could possess the potential of an increased intestinal absorption and fewer adverse effects of alendronate.
Rule base reasoning in the knowledge-based mould design system

This paper describes knowledge-based oriented, parametric, modular, and feature-based integrated CAD/CAE system for mould design. The proposed system integrates Pro/E system with developed original module for calculation of parameters of injection moulding and mould design calculation and selection. The system interface uses parametric and CAD/CAE feature- based database to make the process of design, editing, and reviewing smoother. An example is provided to demonstrate our approach in rule- based representation. Also presented the lists of KBE techniques used for building the knowledge-based system and especially production rules reasoning.
Examining the Relationship between Absorption Capacity with Organizational Performance (Case Study: Companies of the Industrial Town in Ilam City)

Absorption capacity refers to a series of affairs and organizational processes in which the organization pays to business, Simulation, and knowledge extraction so that develop dynamic capabilities within the organization. These capabilities would increase the organizational ability for achieving and maintaining competitive advantage. The purpose of this study is review of the role of absorption capacity (including individual, group and organizational) on the organizational performance. All managers of manufacturing and services companies of the Industrial Town in Ilam city were selected as the statistical population in that 165 managers were selected as sample. Pearson correlation coefficient and stepwise regression analysis were used which results indicated that there is a positive and meaningful relationship between absorption capacity and organizational performance (P > 0.01). The results of stepwise regression showed that knowledge absorptive capacity in managers has meaningfully the ability to prediction the organizational performance (P > 0.01) from the results obtained of this study can be stated that there is a relationship between knowledge absorption capacity and organizational performance in managers of manufacturing and services companies of the Industrial Town in Ilam city. so we can increase organizational performance of the companies by performing some measures about knowledge absorption capacity.
Double‐observer line transect surveys with Markov‐modulated Poisson process models for animal availability

We develop maximum likelihood methods for line transect surveys in which animals go undetected at distance zero, either because they are stochastically unavailable while within view or because they are missed when they are available. These incorporate a Markov‐modulated Poisson process model for animal availability, allowing more clustered availability events than is possible with Poisson availability models. They include a mark‐recapture component arising from the independent‐observer survey, leading to more accurate estimation of detection probability given availability. We develop models for situations in which (a) multiple detections of the same individual are possible and (b) some or all of the availability process parameters are estimated from the line transect survey itself, rather than from independent data. We investigate estimator performance by simulation, and compare the multiple‐detection estimators with estimators that use only initial detections of individuals, and with a single‐observer estimator. Simultaneous estimation of detection function parameters and availability model parameters is shown to be feasible from the line transect survey alone with multiple detections and double‐observer data but not with single‐observer data. Recording multiple detections of individuals improves estimator precision substantially when estimating the availability model parameters from survey data, and we recommend that these data be gathered. We apply the methods to estimate detection probability from a double‐observer survey of North Atlantic minke whales, and find that double‐observer data greatly improve estimator precision here too.
Résilience et application aux protocoles de routage dans les réseaux de capteurs. (Resiliency and application to routing protocols in wireless sensor networks)

Les travaux realises dans cette these se situent dans le domaine des reseaux de capteurs sans fil (Wireless Sensor Networks), deployes en environnement urbain et se focalisent sur la securite des protocoles de routage multi-sauts. Les capteurs sont souvent deployes dans des environnements ouverts et accessibles permettant aux eventuels attaquants de les detruire ou de les capturer afin d'en extraire les donnees sensibles (cles de chiffrement, identite, adresse, etc.). Les methodes traditionnelles, basees sur la cryptographie, permettent d'obtenir une securite de base (authentification, confidentialite, integrite, non repudiation etc.), mais ne permettent pas toujours de se premunir contre les attaques dues a la compromission des nœuds (replication des nœuds, Sybil, Selective forwarding, Blackhole, Sinkhole, Wormhole etc.). Dans le but d'apporter des solutions algorithmiques complementaires aux solutions cryptographiques, nous etudions la resilience des protocoles de communication en presence d'adversaires internes visant a perturber l'acheminement de l'information a travers le reseau. Dans un premier temps, nous introduisons la notion de resilience et une metrique quantitative doublee d'une representation qualitative pour mieux l'apprehender. Nous etudions les principaux protocoles de routage de la litterature selon notre metrique pour montrer leur capacite d'etre resilients. Cette etude nous permet de proposer trois mecanismes visant a developper la resilience: (i) l'introduction de comportements aleatoires, (ii) la limitation de la longueur des routes et (iii) la replication de paquets. Nous appliquons ces mecanismes aux protocoles classiques et nous les etudions selon notre metrique. Pour confirmer les resultats de simulations, nous proposons enfin un travail theorique pour mesurer analytiquement la resilience en nous basant sur le modele des marches aleatoires biaisees.