Miracle-dz/UniFAR-FTUs huggingface dataset:
Tissue expression level of lncRNA UCA 1 is a prognostic biomarker for colorectal cancer

Background: The aberrant expression of urothelial carcinoma-associated 1 (UCA1) was reported in gastric cancer, esophageal squamous cell carcinoma, melanoma, breast cancer, tongue squamous cell carcinomas, as well as colorectal cancer (CRC). In the present study, we investigated the clinical significance and prognostic value of UCA1 in CRC. Methods: A total of 121 fresh cancer tissue samples were obtained from Binzhou Medical University Hospital between April 2009 and December 2014. The expression levels of UCA1 were examined by quantitative real-time PCR. Kaplan-Meier method was used to estimate the survival rate, and differences in survival of subgroups of the study were compared by log-rank test. Multivariate analysis was performed to estimate the association between clinical and genetic features and overall survival using Cox proportional hazard models. Results: We found that UCA1 expression was significantly higher in CRC tissues compared with adjacent normal tissues (P<0.001). UCA1 expression was significantly associated with TNM stage (P=0.006), lymph node metastasis (P=0.012), distant metastasis (P=0.037) and tumor differentiation (P<0.001). Kaplan-Meier analysis indicated that patients with higher expression levels of UCA1 had significantly shorter overall survival than those with lower expression levels (P=0.012). Furthermore, the multivariate Cox regression model demonstrated that UCA1 expression (P=0.027) was an independent prognostic factors for CRC. Conclusions: Our results indicated that UCA1 might be an important indicator of poor survival rate and an independent prognostic factor for CRC. More high quality studies are needed to confirm our finding in the future.
Evaluation of provided services at MRI department in a public hospital using discrete event simulation technique: A case study

Abstract The main purpose of this study is to improve on the performance of a specific healthcare department in order to meet the major administrative expectation. These expectations include better serving the patients in that department in a seamless and most economical manner. This need opened the door for a full review of an existing system. In this research a radiology department in a public hospital has been selected. The quality of service, patients’ medical needs, and the cost of service are the main criteria used to develop a simulation model in this study. This study uses Discrete Event Simulation as a main management tool. Collected and gathered data related to the processing time and arrival time over a period of one years are used in this study. A model was created using Arena modeling package. The model main results exhibited that the resources in the selected radiology division were exhausted. These results provided the needed tools for the management team to make managerial decisions resulting in enhancing the quality of the provided services by improving the imaging services in the radiology department. This improvement lead to reducing the patients’ waiting time and at the same time improved the quality of medical provided services. The major contribution of this article is related to investigating the operation effectiveness of MRI radiology division within a healthcare system by utilizing the Arena Simulation Software. This study utilizes an optimization technique to provide the higher management team the needed tools to make efficient decisions.
MODELLING AN IRONLESS LOUDSPEAKER BY USING THREE-DIMENSIONAL ANALYTICAL APPROACHES

MODELLING AN IRONLESS LOUDSPEAKER BYUSING THREE-DIMENSIONAL ANALYTICALAPPROACHESR. Ravaud and G. LemarquandLaboratoire d'Acoustique de l'Universite du Maine, UMR CNRS 6613Avenue Olivier Messiaen, 72085 Le Mans, Franceguy.lemarquand@univ-lemans.frAbstract |This paper presents some improved three-dimensionalexpressions of the magnetic ¯eld created by tile permanent magnetsuniformly and radially magnetized for the design of ironlessloudspeaker structures. All the expressions determined have beenreduced to compact forms. We use these expressions for theoptimization of ironless loudspeaker structures in which the radial¯eld must be radially uniform. Indeed, as ring permanent magnetsradially magnetized are rather di±cult to manufacture, these magnetsare replaced by assemblies of tile permanent magnets radiallyand uniformly magnetized. We present an example of ironlessloudspeaker structure that has been optimized with our three-dimensional approaches.1. INTRODUCTIONTile permanent magnets can be used for manufacturing ring permanentmagnets radially magnetized by stacking them together. Such a wayof manufacturing a ring is commonly realized because ring permanentmagnets radially magnetized are di±cult to fabricate. Consequently,this alternative method consists in using tile permanent magnetsuniformly magnetized. However, they do not exhibit the sameproperties as tiles radially magnetized and can lower the quality ofthe radial ¯eld created by the permanent magnet structure.Manyauthorshavestudiedthe¯eldcreatedbyring[1]-[6], cylinder[7]-[9], tile permanent magnets [10]-[12] or by disk conductors [13]-[15]. All these analytical methods have enabled authors to study thesti®ness or the force between permanent magnets for magnetic bearings[16][17] or couplings [18][19]. More generally, optimizations can becarried out with analytical or semi-analytical approaches [20]-[22]. An
Prototype analysis of different object recognition techniques in image processing

In picture processing, picture segmentation, object classification and recognition is an impressive concept in present days because of increasing computer vision applications in real time applications. Based on required application, divide a picture into particular relevant clusters based on equivalent partitioning. Object identification is a minimum work to identify objects in a given picture or video with pixel values. The main representation of object classification from a given picture is to detect picture instances with respect to categorization of object. Object recognition is a complex task, when the pictures are poor quality, occlusion, and noise and in picture with background cutter sequences, this becomes more and efficient challenging task in picture processing. To appear object categorization and recognition effectively in pictures, there are several methods and approaches were introduced to solve object representation effectively. In this paper we review the different techniques of contextual feature extraction with respect to picture information of object classification, categorization and recognition of scalability and optimizations in real time picture processing applications. Our research gives better review of different approaches in picture categorization.
A mathematical modelling framework for optimal demand response incentives and retrofit

In this paper, a mathematical optimization model is presented for a demand response program in South Africa. The demand response scheme termed Standard Product Program encourages customers to replace inefficient energy appliances with energy efficient ones. The state owned utility, pays an incentive to willing and participating customers. The incentive to be offered by the utility is very important and there is a need for it to be optimal, attractive to customers and at the same time achieve desired program objectives. The mathematical model presented in this paper is a multi-objective optimization problem with the first objective to minimize the utility's levelized cost and the second to maximize the total power saved. Model validation is done using data from the South African Standard Product Program. Obtained results indicate the robustness, practicality and accuracy of the developed model.
Distributed detection in serial and parallel configurations of wireless sensor networks

Detecting the occurrence of an event is one of the main tasks of applications of a wireless sensor network (WSN). In order to save energy, detection should be performed in a distributed manner where each node sends just one bit to a fusion center (FC) in which a (potentially more accurate) final decision is made. Here, the problem is how to optimally fuse decisions. In this manuscript, several simple fusion rules are suggested for both serial and parallel distributed detection. In addition, the effects of communication error and correlation among sensors' decisions are studied analytically and by simulations. The results show superiority of OR fusion rule in serial distributed detection. It is also shown that serial detection outperforms parallel detection in the same number of nodes.
Structure-Dependent Activity of Natural GABA(A) Receptor Modulators

GABA(A) receptors are ligand-gated ion channels consisting of five subunits from eight subfamilies, each assembled in four hydrophobic transmembrane domains. This pentameric structure not only allows different receptor binding sites, but also various types of ligands, such as orthosteric agonists and antagonists, positive and negative allosteric modulators, as well as second-order modulators and non-competitive channel blockers. A fact, that is also displayed by the variety of chemical structures found for both, synthetic as well as nature-derived GABA(A)-receptor modulators. This review covers the literature for natural GABA(A)-receptor modulators until the end of 2017 and discusses their structure-activity relationship.
Parallel Evolution of Host-Attachment Proteins in Phage PP01 Populations Adapting to Escherichia coli O157:H7

The emergence of antibiotic resistance has sparked interest in phage therapy, which uses virulent phages as antibacterial agents. Bacteriophage PP01 has been studied for potential bio-control of Escherichia coli O157:H7, its natural host, but in the laboratory, PP01 can be inefficient at killing this bacterium. Thus, the goal of this study was to improve the therapeutic potential of PP01 through short-term experimental evolution. Four replicate populations of PP01 were serially passaged 21 times on non-evolving E. coli O157:H7 with the prediction that the evolved phage populations would adsorb faster and more efficiently kill the host bacteria. Dead-cell adsorption assays and in vitro killing assays confirmed that evolved viruses improved their adsorption ability on E. coli O157:H7, and adapted to kill host bacteria faster than the wildtype ancestor. Sequencing of candidate tail-fiber genes revealed that the phage populations evolved in parallel; the lineages shared two point mutations in gp38 that encodes a host recognition protein, and surprisingly shared a ~600 bp deletion in gp37 that encodes the distal tail fibers. In contrast, no mutations were observed in the gp12 gene encoding PP01’s short tail fibers. We discuss the functional role of the observed mutations, including the possible adaptive role of the evolved deletions. This study demonstrates how experimental evolution can be used to select for viral traits that improve phage attack of an important bacterial pathogen, and that the molecular targets of selection include loci contributing to cell attachment and phage virulence.
Distributed massive MIMO for estimation of a correlated source vector in sensor networks

Distributed massive MIMO (DM-MIMO) systems are a key enabler to improve the energy efficiency (EE) in future wireless networks. Thereby, herein this architecture is considered for the estimation of a correlated source vector in wireless sensor networks (WSN), where each sensor node amplifies and forwards its observation through a coherent Multiple Access Channel (MAC) channel. Namely, the fusion centre (FC) consists of a large number of distributed single antenna access points (AP) connected through a backhaul network to a central processing unit (CPU), where a Linear Minimum Mean Square Error (LMMSE) estimation is computed. Within this setting the exact and an approximated MSE, obtained by the LMMSE estimation, are derived. Bearing in mind these results, we address the design of the optimal power allocation, at each sensor node, to minimize the total transmitted power subject to an MSE estimation constraint. The approximation of the MSE paves the way to cast the optimal allocation problem as a Semidefinite Programming Problem (SDP). Finally, the numerical simulations show that our system permits to reduce significantly the total transmitted power compared to related work architectures proposing a massive MIMO system where all the antennas are collocated at the FC.
Development of an Equivalent Circuit of a Large Power System for Real-Time Security Assessment

More and more system operators are interested in calculating transfer capability in real time using real-time power flow models generated from the Energy Management System (EMS). However, in comparing these models with offline study models, the EMS models usually include only a limited portion of the interconnected system. It is not practical to extend the EMS model in order to capture the impact of the external systems and as such using an equivalent network becomes necessary for this purpose. Equivalent circuits derived from the offline models for certain predetermined operating conditions would suffer from invalid results under various real-time operating conditions. Hence, it is necessary to derive an equivalent circuit model that is adaptive to the real-time system conditions. This paper presents a general method of creating an equivalent circuit model based on the measured boundary station parameters such as voltages and power flows. Simulation studies show that such derived equivalent circuit models provide solutions with adequate accuracy.
Super-resolution restoration algorithm based on contourlet transform

The image super-resolution reconstruction algorithm based on wavelet transform is widely used in almost all applications of image restoration such as image coding, image enhancement, image drying, image fusion and so on. But the wavelet transform can only express the location and characteristics of singularity, and is powerless for the feature of the higher dimension. In addition, the wavelet transform kernel lacks the directivity, and can not obtain the geometric smoothness of the contour. In view of this kind of problem, this paper proposes a super-resolution reconstruction algorithm based on Contourlet transform. The algorithm extends the advantages of wavelet to the high-dimensional space, which can better describe the characteristics of the high-dimensional space, and be more suitable for dealing with information with hyperplane singularity. It is concluded that the improved algorithm has a good effect on both the subjective visual effect and the aspect of PSNR, especially in the recovery of the detailed information of the image, by the experimental simulation and compared with other algorithms.
Genome wide analysis of TLR1/2- and TLR4-activated SZ95 sebocytes reveals a complex immune-competence and identifies serum amyloid A as a marker for activated sebaceous glands

Toll-like receptors (TLR) 2 and 4 are active in sebaceous glands and play a central role in the development of acne. Still, there is only limited knowledge on their effect on sebocytes. In this work we performed global gene expression profile analysis with functional clustering of the differentially regulated genes of TLR1/2 (PAM3CSK4)- and TLR4 (lipopolysaccharide [LPS])-activated SZ95 sebocytes. Both TLR1/2- and 4-activation promoted inflammation in a similar manner already at an early time-point (6 hours), regulating genes involved in inflammation, wound healing and chemotaxis reflecting a more complex cytokine and chemokine regulation than previously known. Importantly, lipid metabolism, the primary feature of sebocytes, was affected at the level of gene expression only at a later time point (24 hours) indicating that sebocytes prioritize to exert a pro-inflammatory phenotype when confronted with a danger signal. Supporting the biological relevance of our results, a meta-analysis revealed that the genes showing the strongest up-regulation were also found up-regulated in acne. Of these genes, serum amyloid A 1/2 (SAA1/2) was confirmed to be a suitable protein marker for in vivo activated sebocytes, underlining their immune-competence, which is structurally defined within sebaceous glands of acne and rosacea skin samples. Altogether our findings demonstrate that sebocytes are not only positioned at the end point of inflammation but are actively involved in shaping the inflammatory response with putative diagnostic and therapeutic relevance.
Sensor and vision based autonomous AGRIBOT for sowing seeds

Autonomous agriculture robot is one of the promising solutions for precision agriculture. This paper presents the proposed sensor and vision based agricultural robot for sowing seeds. This prototype can navigate it on any agricultural land and perform seed sowing operation simultaneously. The onboard sensors along with vision system and vision based approaches achieves the navigation and localization tasks. Self-awareness of the robot's position is determined by the global and local maps generated from Global Positioning System (GPS) and on-board vision system paired with a personal computer. This paper also presents the proposed sensor based precision seed metering and sowing mechanism. The proposed robot is a micro planter whose primary task would be to sow seeds at prefixed seeding intervals in the field. The dimensions of the proposed robot are 26.5 × 18.5 × 19.65 mm as L × B × H respectively. A suspension system has been used to maintain the stability of the vehicle and prevent it from toppling in motion.
Critical Evaluation of Gene Expression Changes in Human Tissues in Response to Supplementation with Dietary Bioactive Compounds: Moving Towards Better-Quality Studies

Pre-clinical cell and animal nutrigenomic studies have long suggested the modulation of the transcription of multiple gene targets in cells and tissues as a potential molecular mechanism of action underlying the beneficial effects attributed to plant-derived bioactive compounds. To try to demonstrate these molecular effects in humans, a considerable number of clinical trials have now explored the changes in the expression levels of selected genes in various human cell and tissue samples following intervention with different dietary sources of bioactive compounds. In this review, we have compiled a total of 75 human studies exploring gene expression changes using quantitative reverse transcription PCR (RT-qPCR). We have critically appraised the study design and methodology used as well as the gene expression results reported. We herein pinpoint some of the main drawbacks and gaps in the experimental strategies applied, as well as the high interindividual variability of the results and the limited evidence supporting some of the investigated genes as potential responsive targets. We reinforce the need to apply normalized procedures and follow well-established methodological guidelines in future studies in order to achieve improved and reliable results that would allow for more relevant and biologically meaningful results.
Mechanical design and analysis of a pneumatic ankle foot orthosis

The purpose of this paper is to present the mechanical design and analysis of pneumatic ankle foot orthosis (PAFO) device which can be used for assisting and rehabilitation of ankle foot that has impairments. Some of these impairments are cerebral palsy, multiple sclerosis and muscular dystrophies. The PAFO assists the ankle during dorsiflexion and plantar flexion by way of pneumatic artificial muscle and pneumatic rotary actuator. The designed PAFO is also equipped with various sensors such as force, position and accelerometer. The lightweight and portable design that based on biomechanical studies is built with carbon fiber material. The mechanical design is done in SolidWorks. The PAFO that design has been analyzed using Matlab/SimMechanics to determine the ankle joint torque requirement during gait. The results of the analysis have showed the biomechanical suitability of PAFO device.
GCC—An Architectural Overview, Current Status, and Future Directions

The GNU Compiler Collection (GCC) is one of the most popular compilers available and it is the de facto system compiler for Linux systems. Despite its popularity, the internal workings of GCC are relatively unknown outside of the immediate developer community. This paper provides a high-level architectural overview of GCC, its internal modules, and how it manages to support a wide variety of hardware architectures and languages. Special emphasis is placed on high-level descriptions of the different modules to provide a roadmap to GCC. Finally, the paper also describes recent technological improvements that have been added to GCC and discusses some of the major features that the developer community is thinking for future versions of the compiler.
Retinoic Acid Reduces Ocular Elongation in Chicks with Form‐Deprivation Myopia

Purpose. Retinoic acid (RA) has been proposed to be of value in treating myopia, as it affects scleral growth in chicks with form‐deprivation myopia. The present study aimed to test the effects of RA injection on a form‐deprivation myopia (FDM) model in chicks. Methods. The chicks were form‐deprived by having a black goggle sutured over one eye with the contralateral eye as the control. Daily intraperitoneal injection of all‐trans RA was performed for 12 days. The eye weight (EW), ocular length (OL), equatorial diameter (ED), and the thickness of retina and sclera were measured to reflect the effects of RA on ocular development under form‐deprivation myopia. Results. The effect of RA was biphasic with alleviating effect on FDM limited to a daily dose of up to 10 µg/day with relatively less myopic development than the controls. Significant differences of EW and OL, but not ED, at 10 µg/day RA (P < 0.05) were observed. The thinning of retina and the thickening of sclera as a result of FDM were reversed, albeit not significantly, in the presence of RA up to a daily dose of 10 µg/day. Conclusions. The results show that exogenously applied RA has the potential to inhibit scleral growth in form‐deprived chicks. Such findings are in line with the understanding that regulation of scleral growth is one of the key factors in myopia, and RA may be of value in its treatment.
Combined analysis of GSR and EEG signals for emotion recognition

An article presents the results of research related to the detection of emotions using combined analysis of galvanic skin response (GSR) and electroencephalographic (EEG) signals. Twenty seven volunteers participated in the experiment. Emotions were evoked by presentation of a set of twenty one movies. Emotions, evoked by individual movies, were later rated by participants according to valence and arousal. GSR signal was used to indicate the most stimulating movies, then features extracted from EEG signal were used to classify emotions. To determine the features EEG signal was analyzed in the frequency domain using fast Fourier transform (FFT) algorithm. For classifying emotions, according to valence and arousal, two classifiers were implemented: support vector machine (SVM) and k-nearest neighbors (k-NN).