Miracle-dz/UniFAR-FTUs huggingface dataset:
Alternation of ten-eleven translocation 1, 2, and 3 expression in eutopic endometrium of women with endometriosis-associated infertility

Abstract Little is known about the differences in ten-eleven translocation 1, 2, and 3 (TET1-3) expression in the endometrial phases in eutopic endometrium from infertile women with endometriosis (IWE) and fertile women without endometriosis (FW). Using RT-qPCR and western blot analysis, we assessed the TET expression in the mid-follicular and mid-luteal phases in eutopic endometrium from IWE (n = 38) and FW (n = 18). Both IWE and FW underwent laparoscopic and histological examinations for endometriosis. In the mid-luteal eutopic endometrium in IWE, compared to that of FW, we found significantly reduced levels of TET1 transcripts and proteins (p = .001 and p = .003, respectively) at the severity stage of I/II (p = .029 and p = .003, respectively) and transcripts only at the severity stage of III/IV (p = .003). In the mid-follicular eutopic endometrium of IWE, compared to that of FW, there was a statistically significant reduction in TET2 transcript levels at the severity stage of III/IV (p = .037). Compared to the mid-follicular endometrium, we found a statistically significant increase in TET3 transcript levels during the mid-luteal phase in the eutopic endometrium of all IWE (p = .034) and in the severity stage of III/IV (p = .025). We observed a change in the expression levels of TET1-3 in the eutopic endometrium of IWE. 摘要 我们对有子宫内膜异位症的不孕妇女（IWE）和无子宫内膜异位症的非不孕妇女之间的在位子宫内膜中TET1、2、3表达的差异几无所知。 我们用RT-qPCR和免疫印迹分析方法, 评估了IWE（n=38）和FW（n=18）妇女的卵泡中期和黄体中期在位子宫内膜中TET的表达情况。 IWE和FW两组妇女都通过腹腔镜手术和组织学检查对子宫内膜异位症进行了评价。 我们发现与FW妇女黄体中期的在位子宫内膜相比, I/II期IWE妇女的黄体中期在位子宫内膜中TET1转录物和蛋白质的水平都显着降低（分别为p=0. 001和p=0.003）、（分别为p=0. 029和p=0.003）, III/IV期IWE妇女的黄体中期在位子宫内膜中只有TET1转录物的水平显着降低（p=0.003）。 IWE妇女与FW妇女的卵泡中期在位子宫内膜进行比较, 在III/IV期的IWE妇女中, TET2转录物的水平有明显降低, 差异有统计学意义（p=0.037）。 我们发现与卵泡中期在位子宫内膜相比, 在所有IWE妇女以及在III/IV期的IWE妇女中黄体中期的在位子宫内膜中TET3转录物水平有显着增加, 差异有统计学意义（p=0.034）和（p=0.025）。 我们观察到了IWE妇女的在位子宫内膜中TET1-3表达水平的变化。
Meditating differences in children's interaction with digital libraries through modeling their tasks

Describes four graphical preliminary task-based models of ten Arabic-speaking children, ages 6-10, based on their interaction with the International Children's Digital Library (ICDL). Data generated from a previous study (Bilal & Bachir, 2007b) were coded and analyzed to generate the models. Seven modes of behavior characterized children's interaction: Start, Recognize, Browse, Differentiate, Read, Explore, and Finish. Each mode is associated with moves based on task characteristics. The models were constructed using the general model developed by Bilal, Sarangthem, & Bachir (2008), which was partially informed by the works of Ellis (1989), Ellis & Haugan (1997), Choo, Detlor, & Turnball (2000), and Marchionini (1995). New patterns of behavior that are missed in these works were identified (Explore and Read). The models lack a Search mode that characterized children's keyword searching. The ICDL allowed entry of Arabic script in the search box, but failed to retrieve Arabic books by keyword. Children's behavior that combined linear and non-linear progression and the core iterative processes that occurred between certain modes of behavior and varied by task provide additional perspectives for understanding information seeking behavior within the specific context of a small and well structured Web space such as the ICDL.
Video Forensics for Detecting Shot Manipulation Using the Information of Deblocking Filtering

A video forensic scheme is proposed in this research to determine if an investigated H.264/AVC video stream has been tampered by such editing operations as shot deletion, insertion or replacement. The scheme is designed based on H.264/AVC de-blocking filter, in which the Boundary Strength (BS) used for evaluating the filter strength of block boundaries is utilized to form two features, VRF (Variation of Residual Footprint) and DOF (Degree of Fragments). The distances between the detected peaks or large values from VRF and DOF are used to acquire the size of the original GOP (Group of Pictures) employed in the encoding before video editing. Possible positions of shot manipulation are identified based on the periodic nature of these peaks. Several tests and a state-of-the-art anti-detection method that modifies coefficients and coding modes are applied in the experiments to verify the feasibility of the proposed scheme.
DLCEncDec : A Fully Character-Level Encoder-Decoder Model for Neural Responding Conversation

Recent years have witnessed a surge of interest in building conversation systems such as smart agents or chatbots. The most existing generation-based neural responding conversation systems are implemented by RNN Encoder-Decoder framework relying on word-level modeling with explicit segmentation. A word-level model typically maintains a fixed vocabulary, which correspondingly encounters the unknown words and segmentation issues. In this paper, we proposed a fully character-level Encoder-Decoder model DLCEncDec without explicit segmentation for neural responding conversation. DLCEncDec utilizes both of fine-grained character embedding features and coarse-grained n-gram features. Coarse-grained n-gram features are captured by constructing a convolutional layer and a four-layer highway network on the top of the character embeddings. The appearance of out-of-vocabulary words (i.e. unknown words) can be addressed due to the fully character-level operating. We evaluate the DLCEncDec on a Chinese corpus consisting of 4.44 million message-response pairs from Sina Weibo. Experimental results show that our fully character-level model DLCEncDec significantly outperforms baseline models in terms of BLEU and ROUGE.
Enhancing Inter-Node Process Migration for Load Balancing on Linux-Based NUMA Multicore Systems

Multicore systems with Non-Uniform Memory Access (NUMA) architecture are getting popular in computer systems. Processor cores take longer time to access memories on remote NUMA nodes than on local nodes. Because of operating system kernel's memory allocation and load balancing activities, a process may be migrated across nodes and its allocated memory may scatter on several nodes. Remote memory access and resource contention cause significant performance degradation in multicore NUMA systems. In this study, to reduce contention for inter-node interconnect links and decrease remote memory access in NUMA systems, we enhance the kernel's inter-node load balancing by migrating suitable processes or light-weight processes (i.e. threads) between NUMA nodes. We further propose various selection policies that select processes for migration according to their memory usages, so that the selected process uses the least amount of page frames in the system and/or shares the least amount of memory with other processes. These processes are expected to incur less remote memory access and have least influence caused by migration. The Linux kernel is modified to incorporate the proposed policies in the enhanced inter-node load balancing procedure. Experimental results demonstrate that the system performance is successfully improved by effectively reducing remote memory access and resource contention.
Vision-based speaker location detection

Generally, speaker location detection in video conferencing is audio-based. However, physical room environment which is beyond the control of the speaker detection system can severely change room acoustics. Room acoustics introduce interference and can deteriorate the performance of audio-based speaker detection system. In this paper, we propose a video-based speaker detection method which can be used independently or along with audio-based detection systems. The information on speaker location is intended to create 3-dimensional audio reproduction in order to provide more reality to video conference. In the proposed ethod, we detect moving lips in video sequences. We first detect lips using color information and determine whether the lips are moving. Experiments with real videos provide promising results.
WorkflowDSL: Scalable Workflow Execution with Provenance for Data Analysis Applications

Data analysis projects typically use different programming languages (from Python for prototyping to C++ for support of runtime constraints) at their different stages by different experts. This creates a need for a data processing framework that is re-usable across multiple programming languages and supports collaboration of experts. In this work, we discuss implementation of a framework which uses a Domain Specific Language (DSL), called WorkflowDSL, that enables domain experts to collaborate on fine-tuning workflows. The framework includes support for parallel execution without any specialized code. It also provides a provenance capturing framework that enables users to analyse past executions and retrieve complete lineage of any data item generated. Graph database is used for storing provenance data. Advantages of usage of a graph database compare to relational databases are demonstrated. Experiments which were performed using a real-world scientific workflow from the bioinformatics domain and industrial data analysis models show that users were able to execute workflows efficiently when using WorkflowDSL for workflow composition and Python for task implementations. Moreover, we show that capturing provenance data can be useful for analysing past workflow executions.
Novel role for Grainy head in the regulation of cytoskeletal and junctional dynamics during epithelial repair

ABSTRACT Tissue repair is critical for the maintenance of epithelial integrity and permeability. Simple epithelial repair relies on a combination of collective cell movements and the action of a contractile actomyosin cable at the wound edge that together promote the fast and efficient closure of tissue discontinuities. The Grainy head family of transcription factors (Grh in flies; GRHL1–GRHL3 in mammals) are essential proteins that have been implicated both in the development and repair of epithelia. However, the genes and the molecular mechanisms that it controls remain poorly understood. Here, we show that Grh knockdown disrupts actomyosin dynamics upon injury of the Drosophila pupa epithelial tissue. This leads to the formation of an ectopic actomyosin cable away from the wound edge and impaired wound closure. We also uncovered that E-Cadherin is downregulated in the Grh-depleted tissue around the wound, likely as a consequence of Dorsal (an NF-κB protein) misregulation, which also affects actomyosin cable formation. Our work highlights the importance of Grh as a stress response factor and its central role in the maintenance of epithelial characteristics necessary for tissue repair through regulating cytoskeleton and E-Cadherin dynamics. Highlighted Article: The transcription factor Grainy head is involved in tissue repair, through ensuring the formation of a proper contractile actomyosin cable and the regulation of adherens junction dynamics.
Comparison of the ‘11+ Kids’ injury prevention programme and a regular warmup in children’s football (soccer): a cost effectiveness analysis

Objective To evaluate a potential reduction in injury related healthcare costs when using the ‘11+ Kids’ injury prevention programme compared with a usual warmup in children’s football. Methods This cost effectiveness analysis was based on data collected in a cluster randomised controlled trial over one season from football teams (under-9 to under-13 age groups) in Switzerland. The intervention group (INT) replaced their usual warmup with ‘11+ Kids’, while the control group (CON) warmed up as usual. Injuries, healthcare resource use and football exposure (in hours) were collected prospectively. We calculated the mean injury related costs in Swiss Francs (CHF) per 1000 hours of football. We calculated the cost effectiveness (the direct net healthcare costs divided by the net health effects of the ‘11+ Kids’ intervention) based on the actual data in our study (trial based) and for a countrywide implementation scenario (model based). Results Costs per 1000 hours of exposure were CHF228.34 (95% CI 137.45, 335.77) in the INT group and CHF469.00 (95% CI 273.30, 691.11) in the CON group. The cost difference per 1000 hours of exposure was CHF−240.66 (95%CI −406.89, −74.32). A countrywide implementation would reduce healthcare costs in Switzerland by CHF1.48 million per year. 1002 players with a mean age of 10.9 (SD 1.2) years participated. During 76 373 hours of football, 99 injuries occurred. Conclusion The ‘11+ Kids’ programme reduced the healthcare costs by 51% and was dominant (ie, the INT group had lower costs and a lower injury risk) compared with a usual warmup. This provides a compelling case for widespread implementation.
A Framework for Fast, Autonomous, and Reliable Tool Incorporation on iCub

One of the main advantages of building robots with size and motor capabilities close to those of humans, such as iCub, lies in the fact that they can potentially take advantage of a world populated with tools and devices designed by and for humans. However, in order to be able to do proper use of the tools around them, robots need to be able to incorporate these tools, that is, to build a representation of the tool's geometry, reach and pose with respect to the robot. The present paper tackles this argument by presenting a repository which implements a series of interconnected methods that enable autonomous, fast, and reliable tool incorporation on the iCub platform.
Composite Hashing for Data Stream Sketches

In rapid and massive data streams, it is often not possible to estimate the frequency of items with complete accuracy. To perform the operation in a reasonable amount of space and with sufficiently low latency, approximated methods are used. The most common ones are variations of the Count-Min sketch. By using multiple hash functions, they summarize massive streams in sub-linear space. In reality, data item ids or keys can be modular, e.g., a graph edge is represented by source and target node ids, a 32-bit IP address is composed of four 8-bit words, a web address consists of domain name, domain extension, path, and filename, among many others. In this paper, we investigate the modularity property of item keys, and systematically develop more accurate, composite hashing strategies, such as employing multiple independent hash functions that hash different modules in a key and their combinations separately, instead of hashing the entire key directly into the sketch. However, our problem of finding the best hashing strategy is non-trivial, since there are exponential number of ways to combine the modules of a key before they can be hashed into the sketch. Moreover, given a fixed size allocated for the entire sketch, it is hard to find the optimal range of all hash functions that correspond to different modules and their combinations. We solve both these problems with extensive theoretical analysis, and perform thorough experiments with real-world datasets to demonstrate the accuracy and efficiency of our proposed method, MOD-Sketch.
Magnesium Concentration in Dialysate: Is Higher Better?

In this issue of the Clinical Journal of the American Society of Nephrology , Bressendorff et al . report a single-center, randomized, controlled, double-blind trial in patients on maintenance hemodialysis ([1][1]). A total of 59 patients were randomized to either standard dialysate magnesium (0.5
p53–Pirh2 Complex Promotes Twist1 Degradation and Inhibits EMT

Epithelial–mesenchymal transition (EMT) is a critical process involved in cancer metastasis and chemoresistance. Twist1 is a key EMT-inducing transcription factor, which is upregulated in multiple types of cancers and has been shown to promote tumor cell invasiveness and support tumor progression. Conversely, p53 is a tumor suppressor gene that is frequently mutated in cancers. This study demonstrates the ability of wild-type (WT) p53 to promote the degradation of Twist1 protein. By forming a complex with Twist1 and the E3 ligase Pirh2, WT p53 promotes the ubiquitination and proteasomal degradation of Twist1, thus inhibiting EMT and maintaining the epithelial phenotype. The ability of p53 to induce Twist1 degradation is abrogated when p53 is mutated. Consequently, the loss of p53-induced Twist1 degradation leads to EMT and the acquisition of a more invasive cancer phenotype. Implication: These data provide new insight into the metastatic process at the molecular level and suggest a signaling pathway that can potentially be used to develop new prognostic markers and therapeutic targets to curtail cancer progression.
Review Of Currently Used Inhalation Anesthetics: Part I

SIDE EFFECTS OF INHALED ANESTHETICS CARDIOVASCULAR SYSTEM Blood pressure: All volatile anesthetics with the exception of nitrous oxide produce a dose-dependent decrease in blood pressure. Nitrous oxide produces either no change or only a slight increase in blood pressure. The decrease in blood pressure produced by halothane and enflurane results mainly from negative inotropy (decrease in myocardial contractility), whereas hypotension produced by desflurane, isoflurane, and sevoflurane mainly result from a decrease in systemic vascular resistance. Heart rate: Isoflurane and desflurane produce a dosedependent increase in heart rate. This increase occurs at low doses of isoflurane or high doses of desflurane. It might be blunted by simultaneous use of opioids during balanced anesthesia. Nitrous oxide, halothane and sevoflurane are not associated with substantial changes in heart rate. Cardiac performance: As mentioned earlier, halothane and enflurane produce a dose dependent decrease in cardiac output due to decrease in myocardial contractility. Administration of nitrous oxide can modestly increase cardiac output because its sympathomimetic effect. High doses may cause myocardial depression. Isoflurane, desflurane and sevoflurane do not significantly alter cardiac output. Systemic vascular resistance: Isoflurane, desflurane, and sevoflurane produce dose dependent decreases in systemic vascular resistance. Pulmonary vascular resistance: Nitrous oxide is known to increase pulmonary vascular resistance, especially in patients with pre-existing pulmonary hypertension. All other inhalation agents may decrease pulmonary vascular resistance and blunt the Hypoxic Pulmonary Vasoconstriction Reflex (HPV). Coronary blood flow: Isoflurane is known to be a potent coronary artery vasodilator. Isoflurane induced coronary artery vasodilatation can lead to redistribution of coronary blood flow away from diseased areas to areas with normal responsive coronary arteries. This phenomenon is called the coronary steal syndrome. However, most clinical studies failed to prove a higher incident of myocardial ischemia due to isoflurane. Enflurane, halothane, desflurane, and sevoflurane are all weaker coronary artery vasodilator than isoflurane. Cardiac dysrhythmias: Especially halothane is known for its dysrhythmic effect in combination with catecholamines such as epinephrine. All cardiac depressant effects of volatile anesthetics are able to recover. Cardiac output, heart rate, and systemic vascular resistance usually return to base value if these agents are administered for five hours or longer.
Fake News Propagation and Detection: A Sequential Model

In the wake of the 2016 U.S. presidential election, social-media platforms are facing increasing pressure to combat the propagation of “fake news” (i.e., articles whose content is fabricated). Motivated by recent attempts in this direction, we consider the problem faced by a social-media platform that is observing the sharing actions of a sequence of rational agents and is dynamically choosing whether to conduct an inspection (i.e., a “fact-check”) of an article whose validity is ex ante unknown. We first characterize the agents’ inspection and sharing actions and establish that, in the absence of any platform intervention, the agents’ news-sharing process is prone to the proliferation of fabricated content, even when the agents are intent on sharing only truthful news. We then study the platform’s inspection problem. We find that because the optimal policy is adapted to crowdsource inspection from the agents, it exhibits features that may appear a priori nonobvious; most notably, we show that the optimal inspection policy is nonmonotone in the ex ante probability that the article being shared is fake. We also investigate the effectiveness of the platform’s policy in mitigating the detrimental impact of fake news on the agents’ learning environment. We demonstrate that in environments characterized by a low (high) prevalence of fake news, the platform’s policy is more effective when the rewards it collects from content sharing are low relative to the penalties it incurs from the sharing of fake news (when the rewards it collects from content sharing are high in absolute terms).
Biogeographical evidence for common vicariance and rare dispersal in a southern Appalachian harvestman (Sabaconidae, Sabacon cavicolens)

Species or higher taxa that are obviously dispersal‐limited, but which occupy large geographical distributions, represent a biogeographical paradox. Dispersal must have happened, likely under special and infrequent environmental conditions, but details have been lost to history. The overarching goal of our research is to understand the details of a ‘common vicariance, rare dispersal’ biogeographical history in a widespread but habitat‐specialized harvestman species (Sabacon cavicolens) with a southern Appalachian centre of distribution.
Knowledge Organisations and High-Tech Regional Innovation Systems in Developing Countries: Evidence from Argentina

In the globally and knowledge based economy, the universities and other knowledge organisations are valued for their ability to contribute to the regional innovation processes. This is particularly relevant for the developing countries in South America since their R&D spending is highly concentrated on the public knowledge infrastructure. However, there are few studies examining the role of knowledge organizations at regional level in Latin America. The proposed study aims to analyse the role played by knowledge organisations in the formation of a high-tech Regional Innovation Systems in Argentina. This country has a number of attractive features relative to the positive evolution of its R&D spending and the recent implementation of a policy that promotes cooperation between firms and knowledge organisations among high-tech sectors. As evidenced in developed regions, the organisations under study play a key role in the promotion of a high-tech Regional Innovation Systems. However, this prominent role is not based on those local factors identified in the literature, such as organisational and institutional local assets, but on national science and technology policies and individual initiatives conducted by the faculties involved.
Face Recognition: A Survey

Face recognition has gained a significant position among most commonly used applications of image processing furthermore availability of viable technologies in this field have contributed a great deal to it. In spite of rapid progress in this field it still has to overcome various challenges like Aging, Partial Occlusion, and Facial Expressions etc affecting the performance of the system, are covered in first part of the survey. This part also highlights the most commonly used databases, available as a standard for face recognition tests. AT & T, AR Database, FERET, ORL and Yale Database have been outlined here. While in the second part of this survey a detailed overview of some important existing methods which are used to dealing the issues of face recognition have been presented. Said methods include Eigenface, Neural Network (NN), Support Vector Machine (SVM), Gabor Wavelet and Hidden Markov Model (HMM). While in last part of the survey several applications of a face recognition system such as video surveillance, Access Control, and Pervasive Computing has been discussed.