Miracle-dz/UniFAR-FTUs huggingface dataset:
LncRNA NEAT1 Silenced miR-133b Promotes Migration and Invasion of Breast Cancer Cells

Breast cancer, the most prevalent cancer type among women worldwide, remains incurable once metastatic. Long noncoding RNA (lncRNA) and microRNA (miRNA) play important roles in breast cancer by regulating specific genes or proteins. In this study, we found miR-133b was silenced in breast cancer cell lines and in breast cancer tissues, which predicted poor prognosis in breast cancer patients. We also confirmed that lncRNA NEAT1 was up-regulated in breast cancer and inhibited the expression of miR-133b, and identified the mitochondrial protein translocase of inner mitochondrial membrane 17 homolog A (TIMM17A) that serves as the target of miR-133b. Both miR-133b knockdown and TIMM17A overexpression in breast cancer cells promoted cell migration and invasion both in vitro and in vivo. In summary, our findings reveal that miR-133b plays a critical role in breast cancer cell metastasis by targeting TIMM17A. These findings may provide new insights into novel molecular therapeutic targets for breast cancer.
Re: Modified Sequential Organ Failure Assessment score in the emergency department

Dear Editor, We read the article by Raymond et al. on the use of modified Sequential Organ Failure Assessment (mSOFA) score published in the June 2019 issue of Emergency Medicine Australasia. It was a good exploratory study that highlighted the use of the scoring in an emergency setup as the original SOFA scoring was validated in ICU settings. With the new Sepsis-3 guidelines, there has been a push for early recognition and management of sepsis patients in order to reduce mortality. Before using mSOFA as an emergency tool, we wanted to highlight a few concerns. First is use of systolic blood pressure (SBP) instead of mean arterial pressure, which is a better measurement of perfusion and can be easily calculated in the emergency room. Second is the scoring of post-i.v. fluid SBP of <100, which brings in the question of how much fluid was given? Whether everyone received the standard guidelines of 30 mL/kg or was it based on individual assessment of volume status. Similarly, with use of pulse oximetery for assessing oxygenation, the chances of false reading increases. Poor peripheral perfusion itself will cause pulse-oximeter to show a lower reading. Other factors like hyperventilation, severe anaemia, hypothermia and motion artefacts all can interfere with getting a correct reading in pulse oximetery, reducing its relaibilty. Raymond et al. observed that 12.3% of patients with suspected sepsis in the ED in retrospect had a non-infective cause. Including these cases in analysis will skew the prediction of mSOFA in detecting mortality as SOFA definition requires a patient to have an infection. Further studies are required to validate the observation of the Raymond et al.’s study and whether mSOFA can replace the original SOFA score in the emergency setting.
Myelin Water Atlas: A Template for Myelin Distribution in the Brain

Myelin water imaging (MWI) is a magnetic resonance imaging technique that quantifies myelin in‐vivo. Although MWI has been extensively applied to study myelin‐related diseases in groups, clinical use in individual patients is challenging mainly due to population heterogeneity. The purpose of this study was twofold: (1) create a normative brain myelin water atlas depicting the population mean and regional variability of myelin content; and (2) apply the myelin atlas to assess the degree of demyelination in individuals with multiple sclerosis (MS).
GRID BASED APPROACH FOR EFFICIENT ROUTING IN WIRELESS SENSOR NETWORKS

: W ireless sensor networks (WSNs) supports wide range of applications such as health and environment monitoring, imaging, tracking, and biomedical research. Hence they can be useful in a number of situations. Wireless sensor networks sense some physical scenario and propagate the sensed data to the base station with the help of intermediate nodes. Area coverage is an important issue in these networks. The objective of complete area coverage is to find out redundant nodes and deactivate them, so that the remaining active nodes can cover the deployed area. Among the various existing approaches for area coverage in WSN, a grid based approach has been proposed that provides a better way to select the active nodes or deactivate the redundant nodes from the grid rather than choosing the nodes from the deployed area. The existing approach goes with certain limitations such as how many numbers of grids need to be made in a certain deployed area with a certain number of nodes and how much percentage of nodes need to be selected from each grid. Our proposed protocol outperforms the existing grid based protocol with respect to energy saving, network lifetime and End to End delay.
Cryopreserved amniotic membrane and umbilical cord particulate matrix for partial rotator cuff tears

Abstract Amniotic membrane (AM) and umbilical cord (UC) are well known to have anti-inflammatory properties and have been shown to promote healing in various orthopedic indications. This study investigated whether intra-articular injection of AM/UC particulate matrix promotes healing of partial rotator cuff tears (RCTs). A case series was performed on 10 patients that received injection of 50 mg AM/UC for partial RCTs that were refractory to conservative treatment. Outcomes included Penn Shoulder Score (PSS) questionnaire, range of motion examination, and magnetic resonance imaging (MRI) analysis before and at 6 months. Final MRI analysis was performed by a musculoskeletal radiologist in a blinded fashion. Average PSS score (out of 100) increased from 46.8 ± 23.7 at baseline to 82.0 ± 19.1 at 6 months. The average PSS sub-scores of pain, satisfaction, and function increased 78.4%, 37.1%, and 82.3% from baseline, respectively. The subject's range of motion was 77.9% at baseline and increased to 99.9% at 6-months. Follow-up MRI scans did not demonstrate any significant change in RCT size. No adverse events were noted. This small case series provides preliminary data for use of cryopreserved AM/UC particulate matrix in patients with refractory partial RCTs.
Growth arrest-specific protein-6/AXL signaling induces preeclampsia in rats†

Abstract Preeclampsia (PE) is a complicated obstetric complication characterized by increased blood pressure, decreased trophoblast invasion, and inflammation. The growth arrest-specific 6 (Gas6) protein is known to induce dynamic cellular responses and is elevated in PE. Gas6 binds to the AXL tyrosine kinase receptor and AXL-mediated signaling is implicated in proliferation and migration observed in several tissues. Our laboratory utilized Gas6 to induce preeclamptic-like conditions in pregnant rats. Our objective was to determine the role of Gas6/AXL signaling as a possible model of PE. Briefly, pregnant rats were divided into three groups that received daily intraperitoneal injections (from gestational day 7.5 to 17.5) of phosphate buffered saline (PBS), Gas6, or Gas6 + R428 (an AXL inhibitor administered from gestational day 13.5 to 17.5). Animals dispensed Gas6 experienced elevated blood pressure, increased proteinuria, augmented caspase-3-mediated placental apoptosis, and diminished trophoblast invasion. Gas6 also enhanced expression of several PE-related genes and a number of inflammatory mediators. Gas6 further enhanced placental oxidative stress and impaired mitochondrial respiration. Each of these PE-related characteristics was ameliorated in dams and/or their placentae when AXL inhibition by R428 occurred in tandem with Gas6 treatment. We conclude that Gas6 signaling is capable of inducing PE and that inhibition of AXL prevents disease progression in pregnant rats. These results provide insight into pathways associated with PE that could be useful in the clarification of potential therapeutic approaches. Summary sentence Bonding of Gas6 protein to AXL receptor induces preeclamptic symptoms in the rat.
Ginseng as a Complementary and Alternative Medicine for Postmenopausal Symptoms

Ginseng is a popular herbal medicine that has been used for thousands of years. A number of its components have been isolated and characterized, including ginsenosides, polysaccharides, peptides, polyacetylenic alcohols, and fatty acids. The lipophilic characteristics of ginsenosides have raised the possibility of their efficacy as steroid hormones. Several in-vitro studies have reported their pharmacological function as steroid hormones, especially estrogen, but no human study to date has confirmed their efficacy as alternatives to synthetic estrogen.
Perceived lack of training moderates relationship between healthcare providers’ personality and sense of efficacy in trauma-informed care

ABSTRACT Background and Objectives: Medical patients often have trauma histories that are not routinely assessed, which can adversely affect health outcomes. Despite growing awareness of this issue, there is limited understanding of factors that influence provider competency in trauma-informed care (TIC). The study examined healthcare providers’ personality traits in relation to their sense of TIC efficacy, taking into account perceived barriers to TIC and professional quality of life. Study Design: The study used cross-sectional survey methods to examine our central hypothesis that provider personality traits and perceived barriers to TIC would be associated with TIC-efficacy, and to explore interactions among study variables. Methods: Survey data were collected from 172 healthcare providers examining TIC knowledge, TIC-efficacy, perceived barriers to TIC, personality traits, and professional quality of life. Results: TIC-efficacy was positively correlated with “intellectence/openness” and inversely correlated with “neuroticism” and perceived lack of training as a barrier. “Intellectence/openness” interacted with perceived lack of training to predict TIC-efficacy, suggesting that providers with lower “intellectence/openness” report greater TIC-efficacy when lack of training is not perceived as a barrier. Conclusions: Provider personality traits and perceived barriers to TIC appear related to providers’ TIC-efficacy. Implications for overcoming barriers to TIC through training and implementation are discussed.
Frontal Sinus Preservation During Cerebrospinal Fluid Leak Repair.

BACKGROUND To validate the repair of frontal sinus cerebrospinal fluid (CSF) leaks with preservation of frontal sinus drainage pathway (FSDP), independently of the approach used, and to establish the indications and limits of the endoscopic approach. METHODS A retrospective evaluation of patients undergoing surgery for frontal sinus CSF leaks was performed. Demographics, indications for both endoscopic/combined endoscopic and open approaches, complications, methods for maintaining FSDP, and perioperative outcomes were examined. RESULTS Fifty-three patients (average age 45 years) with frontal sinus CSF leaks were treated surgically from 2000 to 2018. All CSF leak repairs were successful at the 1st attempt with a mean follow-up of 76.8 months (range 4-227 months). Etiology was spontaneous (14), traumatic (26), and iatrogenic (13). In 17 patients, a purely endoscopic approach was performed, while an endoscopic endonasal orbital transposition procedure was added in 4 out of this group. In 23 patients, a combined endoscopic and osteoplastic procedure was employed, while in 13 patients a combined craniotomy and endoscopic procedure was performed. All frontal sinuses remained patent except for 2 cranialization patients. CONCLUSION With contemporary endoscopic instrumentation and techniques, endoscopic closure of frontal sinus CSF leaks even in the far superolateral wall is feasible in selected patients. However, the surgeon should consider the option of combining an external approach when required. Preserving the FSDP should be the main aim regardless of the approach.
Understanding of the Cyber Security and the Development of CAPTCHA

CAPTCHA is the abbreviation of "Completely Automated Public Turing Test to Tell Computers and Humans Apart", which is a program algorithm for distinguishing between computers and humans. It is able to generate and evaluate tests that are easy for human to pass yet are not possible for computers to. Common CAPTCHA generally contains symbols, text, pictures, and even videos, which is mainly used for human-computer verification. With the popularization of the Internet and its related applications, many malicious attacks against websites, systems and servers gradually appear. Therefore, the research on CAPTCHA is especially important. This article will briefly summarize and introduce the existing CAPTCHA technology, and summarizes the common problems of network attacks and information security. After listing the common type of CAPTCHA, it will finally propose feasible suggestions for the development of CAPTCHA.
Present and Future of Network Big Data

Network big data refer to the massive data generated by interaction and fusion of the Ternary human-machine-thing universe in the Cyberspace and available on the Internet. The Increase of their scale and complexity provided that of the capacity of hardware characterized by the Moore law, which brings the grand challenges to the architecture and the processing and computing Capacity of the contemporary IT systems, meanwhile set presents live opportunities on Deep mining and taking full advantage of the big value of network big data. Therefore, it is Pressing to research the disciplinary issues and discover the common laws of network big data, And further study the fundamental theory and basic approach to qualitatively or quantitatively Dealing with network big data. This paper analysis thezens caused by the complexity, Uncertainty and emergence of network big data, and summarizes major issues and research status of The awareness, representation, storage, management, mining, and social computing of network Big data, as well as network data platforms and applications. It is looking ahead to the development Trends of big data science, new modes and paradigm of data computing, new IT infrastructures, And data security and privacy, etc.
A co‐training based entity recognition approach for cross‐disease clinical documents

Entity recognition plays an important role in building the electronic medical records (EMRs) based medical knowledge graph, which is significant for building Clinical decision support (CDS) system. Cross‐disease clinical documents are context‐related and have different interrelated semantic structures, which bring challenges for entity recognition using traditional methods. In order to solve these problems, this paper proposes a co‐training based entity recognition approach for cross‐disease clinical documents. In this model, we first build partial annotation corpus of the single disease using dependency syntax analysis and the medical statement rule unifies. Then, according to the partial annotation corpus of different diseases, the sentence level features are extracted through the Bi‐LSTM layer with memory unit and CRF methods, which optimize the whole sequence and improve the combination probability of sequence labels. Finally, the results with higher confidence are selected by cross feedback to label the corpus, which enlarges the size of corpus and improves the accuracy of the document entity recognition. The experiment result proves the availability and high efficiency of our method.
Hierarchy of behaviors

Living beings are often observed switching strategies in response to a changing environment. However, autonomous robotics mostly implements a single behaviour well suited to a particular task such as navigation, localization and so on. Actually, one burning issue of autonomous robotics is to manage a complex task starting from a set of simple behaviours. In other words, the robot has to choose the optimal behaviour given the sensori-motor context in order to build a global and coherent process. This is usually done by a strict specification from the programmer. In this article, we put forward a framework called behaviours hierarchy that handle elementary ability to respond to a given task. We show that this framework leads to the continuous application of an adequate behaviour depending on the environment. Finally, we propose a general method to implement this framework using Bayesian programming.
Performance Analysis of Symmetrical and Asymmetrical Configuration of Open-End Winding Induction Motor Drive Using Decoupled SVPWM Techniques

In this article, space vector based decoupled PWM techniques are proposed for both symmetrical and asymmetrical configuration of open-end winding induction motor drive. These decoupled PWM techniques are generated using instantaneous reference voltages of the two inverters. That means, one inverter reference voltages are phase shifted with respect to other inverter reference phase voltages, So that each inverter operates independently. It does not require any complex computations as in case of conventional PWM techniques. A common-mode voltage is identified in the dual inverter configuration. These decoupled PWM techniques also reduce the common mode voltage by better extent. All the proposed PWM techniques for symmetrical and asymmetrical configurations of open-end winding induction motor are implemented using MATLAB/SIMULINK and the corresponding results are reported and compared.
Design of TMC wavefront coding system based on user defined surface mask plate

In wavefront coding optical system, with the traditional cubic mask plate (CMP) which owns several extension times of depth of focus (DOF), it is difficult to manufacture. With the symmetrical surface type mask plate which can be machine relatively easily, but it presents small multiples of the extension of DOF. In this paper, it makes a presentation of mask plate design by user defined surface(UDS) type where it has an easy mechanical process and several multiples of extension of DOF. It presents the analytic expression by calculation and its DLL data file which is adapted to ZEMAX. It also performs a simulation experiment based on the three mirror Cassegrain(TMC) wavefront system. The experiment results indicate that instead of the traditional mask plate, the UDS surface mask plate can obtain a larger ratio of extension of DOF and increase the valuable types of mask plate surfaces. What is more, it decreases the surface mechanical difficulty compared to the asymmetrical surface mask plate. The type of UDS surface has the unique design and the convenience manufacturing, which is of great value in both application and research.
Verb class and instrument PPs: A mixed model analysis

Choi, Hye-Won. 2017. Verb class and instrument PPs: A mixed model analysis. Linguistic Research 34(2), 163-190. This paper investigates whether a lexical variance caused by verbs influences the choice and frequency of instrument with-PPs. The corpus data shows that observations grouped by verb class demonstrate systematically different behaviors and this individual variance of verb classes can be captured by means of a random effect of a mixed-effects model. Building up on Choi's (2012) research that identifies the syntactic, semantic, and morphological factors that influence the presence of instrument with-PPs as fixed effects, the current study classifies the instrument-taking verbs into verb classes, based on Levin’s (1993) study, and builds a mixed-effects model taking verb class as a random variable. The new statistical technique of hierarchical, multi-level, mixed-effects modeling (Baayen 2008; Bresnan et al. 2007; Gelman and Hill 2007; Johnson 2008; Kuperman 2009; Pinheiro and Bates 2000) can process across-word fixed effects and by-word random effects together. By taking into consideration the subtle syntactic and semantic characteristics of verbs, this new modeling analysis provides a way to incorporate native speakers’ lexical knowledge into grammar. (Ewha Womans University)
Wind resource assessment of Cuba in future climate scenarios

The future climatic behavior of the wind resource in Cuba has not been studied in the past. This study presents a preliminary analysis of the behavior of wind speed using the regional climate model PRECIS (Providing Regional Climates for Impacts Studies) in high-resolution scenarios of climate change SRES A1B (Special Report on Emissions Scenarios), driven with boundary conditions from the General Circulation Model ECHAM5 (European Centre/HAMburg climate model) and 6 of the 16 members of the set of perturbed physics HadCM3 (Hadley Center Coupled Model, version 3) global climate model. Changes in the distribution of wind speed for three periods of 30 years in the future—2011–2040, 2041–2070, and 2071–2099—are analyzed. The PRECIS model was also run with reanalysis data during the period of 1 January 1989 to 31 December 2002. It was found that changes in wind speed will be larger in the eastern and northern coast, becoming statistically significant for the second half of this century with an increase in wind magnitude between 0.1 and 0.4 m s−1. These areas of increased wind power match with the current projection of the Cuban wind program where the construction of 13 new wind farms are contemplated. Finally, this increase is added to the wind speed outputs of the numerical wind atlas of Cuba to estimate the values of wind speed over the three future periods.
Development of a Pool Cleaning Robot and its Cleaning Performance Evaluation

In this paper, developing of a pool cleaning robot is addressed. First, we analyze commercial pool cleaning robot mechanisms, and the merits and demerits of wireless version of a pool cleaning robot is introduced. And then the water-jet moving mechanism for a pool cleaning robot is proposed to improve energy efficiency and mechanical design advantage, which is one of the strong candidates for wireless pool cleaning robots. Next, the method of cleaning performance evaluation of pool cleaning robots is firstly defined with five key factors, and it was verified by experimental results. If the cleaning performance can be quantitatively defined, we can design optimally a pool cleaning robot, which results in the cost down.
A WELL-ORGANIZED PREVENTIVE SCHEME FOR KGA USING HASH CODES

We introduce two games, namely semantic-security against selected keyword attack and indistinguishability against keyword guessing attack1 to capture the safety of PEKS ciphers text and trapdoor, correspondingly. Searchable file encryption is of growing interest for safeguarding the information privacy in secure searchable cloud storage. When it comes to trapdoor generation, as all of the existing schemes don't involve pairing computation, the computation price is reduced compared to PEKS generation. It's important to note the trapdoor generation within our plan is slightly greater than individuals of existing schemes because of the additional exponentiation computations. Within this paper, we investigate security of the well-known cryptographic primitive, namely, public key file encryption with keyword search (PEKS) that is very helpful in lots of applying cloud storage. Regrettably, it's been proven the traditional PEKS framework is affected with a natural insecurity known as inside keyword guessing attack (KGA) launched through the malicious server. To deal with this security vulnerability, we advise a brand new PEKS framework named dual-server PEKS (DS-PEKS). Then we show a normal construction of secure DS-PEKS from LH-SPHF. As one example of the practicality in our new framework, we offer a competent instantiation from the general framework from the Decision Diffie-Hellman-based LH-SPHF and show that it may attain the strong security against within the KGA. As the second primary contribution, we define a brand new variant from the smooth projective hash functions (SPHFs) known as straight line and homomorphic SPHF (LH-SPHF).