Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification of Potential Crucial Genes Associated With the Pathogenesis and Prognosis of Endometrial Cancer

Background and Objective Endometrial cancer (EC) is a common gynecological malignancy worldwide. Despite advances in the development of strategies for treating EC, prognosis of the disease remains unsatisfactory, especially for advanced EC. The aim of this study was to identify novel genes that can be used as potential biomarkers for identifying the prognosis of EC and to construct a novel risk stratification using these genes. Methods and Results An mRNA sequencing dataset, corresponding survival data and expression profiling of an array of EC patients were obtained from The Cancer Genome Atlas and Gene Expression Omnibus, respectively. Common differentially expressed genes (DEGs) were identified based on sequencing and expression as given in the profiling dataset. Pathway enrichment analysis of the DEGs was performed using the Database for Annotation, Visualization, and Integrated Discovery. The protein–protein interaction network was established using the string online database in order to identify hub genes. Univariate and multivariable Cox regression analyses were used to screen prognostic DEGs and to construct a prognostic signature. Survival analysis based on the prognostic signature was performed on TCGA EC dataset. A total of 255 common DEGs were found and 11 hub genes (TOP2A, CDK1, CCNB1, CCNB2, AURKA, PCNA, CCNA2, BIRC5, NDC80, CDC20, and BUB1BA) that may be closely related to the pathogenesis of EC were identified. A panel of 7 DEG signatures consisting of PHLDA2, GGH, ESPL1, FAM184A, KIAA1644, ESPL1, and TRPM4 were constructed. The signature performed well for prognosis prediction (p < 0.001) and time-dependent receiver–operating characteristic (ROC) analysis displayed an area under the curve (AUC) of 0.797, 0.734, 0.729, and 0.647 for 1, 3, 5, and 10-year overall survival (OS) prediction, respectively. Conclusion This study identified potential genes that may be involved in the pathophysiology of EC and constructed a novel gene expression signature for EC risk stratification and prognosis prediction.
Nano- and Macroscale Study of the Lubrication of Titania Using Pure and Diluted Ionic Liquids

Titanium is a strong, corrosion-resistant light—weight metal which is poised to replace steel in automobiles, aircraft, and watercraft. However, the titanium oxide (titania) layer that forms on the surface of titanium in air is notoriously difficult to lubricate with conventional lubricants, which restricts its use in moving parts such as bearings. Ionic liquids (ILs) are potentially excellent lubricants for titania but the relationship between IL molecular structure and lubricity for titania remains poorly understood. Here, three-ball-on-disk macrotribology and atomic force microscopy (AFM) nanotribology measurements reveal the lubricity of four IL lubricants: trioctyl(2-ethylhexyl)phosphonium bis(2-ethylhexyl)phosphate (P8,8,8,6(2) BEHP), trihexyl(tetradecyl)phosphonium bis(2-ethylhexyl)phosphate (P6,6,6,14 BEHP), trihexyl(tetradecyl)phosphonium bis(2,4,4-trimethylpentyl)phosphinate (P6,6,6,14 (iC8)2PO2), and trihexyl(tetradecyl)phosphonium bis(trifluoromethylsulfonyl)imide (P6,6,6,14 TFSI). The macrotribology measurements demonstrated that friction decreased in P6,6,6,14 TFSI by four times (μ = 0.13) compared to in hexadecane, even at 60°C and loads up to 10 N. On the other hand, P8,8,8,6(2) BEHP reduced friction most effectively in the AFM nanotribology measurements. The results were interpreted in terms of the lubrication regime. The lower viscosity of P6,6,6,14 TFSI coupled with its good boundary lubrication made it the most effective IL for the macrotribology measurements, which were in the mixed lubrication regime. Conversely, the cation structure of P8,8,8,6(2) BEHP allowed it to adsorb strongly to the surface and minimized energy dissipation in the nanotribology measurements, although its high bulk viscosity inhibited its performance in the mixed regime. These results reinforce the importance of carefully selecting IL lubricants based on the lubrication regime of the sliding surfaces.
A Novel Face Attribute Segmentation Algorithm

We propose a novel segmentation algorithm for face attribute segmentation with a fully convolutional encoder-decoder network. Our network is trained end-to-end on Helen dataset, and optimizes by minimizing two loss functions: the L1 loss and the negative-log-likelihood. Strategies such as transfer learning, dilated convolution, skip layer are used to improve network accuracy. We also add maximum connected region extraction (MCRE) to the output of the network, and show that these strategies have significantly improved the network performance. The experimental results show that the network has obtained F-Measure 0.872 on the Helen dataset, which yielding higher score in facial segmentation than previous methods. Moreover, our algorithm also achieves a good visual segmentation effect on other images outside the dataset, which demonstrate strong generalization performance of the proposed algorithm.
What if a Bug has a Different Origin ? Making Sense of Bugs Without an Explicit Bug Introducing Commit

Background: Many studies in the software research literature on bug fixing are built upon the assumption that “a given bug was introduced by the lines of code that were modified to fix it”, or variations of it. Although this assumption seems very reasonable at first glance, there is little empirical evidence supporting it. A careful examination surfaces that there are other possible sources for the introduction of bugs such as modifications to those lines that happened before the last change an changes external to the piece of code being fixed. Goal: We aim at understanding the complex phenomenon of bug introduction and bug fix. Method: We design a preliminary approach distinguishing between bug introducing commits (BIC) and first failing moments (FFM). We apply this approach to Nova and ElasticSearch, two large and well-known open source software projects. Results: In our initial results we obtain that at least 24% bug fixes in Nova and 10% in ElasticSearch have not been caused by a BIC but by co-evolution, compatibility issues or bugs in external API. Merely 26–29% of BICs can be found using the algorithm based on the assumption that “a given bug was introduced by the lines of code that were modified to fix it”. Conclusions: The approach allows also for a better framing of the comparison of automatic methods to find bug inducting changes. Our results indicate that more attention should be paid to whether a bug has been introduced and, when it was introduced.
Ultrawide Bandwidth Hollow Core Fiber for Interband Short Reach Data Transmission

We report a Nested Antiresonant Nodeless hollow-core Fiber with 700nm bandwidth (1240–1940nm) and a minimum loss of 6.6dB/km at 1550nm. Penalty-free 100-Gb/s PAM4 data transmission from O- to L-band is demonstrated over ∼1km of fiber.
A spatiotemporal warping-based video synchronization method for video stitching

This paper presents a method of synchronizing video sequences with non-rigid human motion in a surveillance video stitching scenario. Different from manual or half-manual video synchronization methods, our work exploits the spatiotemporal structure information embedded in the time-series data itself to realize synchronization automatically and consistently. After projecting into the same plane based on the homography constraint, we formulate the problem of aligning two time series data with unequal lengths as an improved dynamic time warping (DTW)-based optimization problem. Furthermore, we propose a simple but effective shape registration and similarity measure method based on $\Re $ transform to decrease shape ambiguities. The method has been evaluated qualitatively on several real sequences and demonstrated its effective performance.
A pilot study of escape, avoidance, and approach behaviors in treated alcohol-dependent males

ABSTRACT Alcohol-dependent individuals are often reported to use behavioral strategies both to escape from and avoid negative affective states, and also to approach positive affective states. However, there has been little examination of how these individuals acquire and express these types of behaviors. In this study, male adults meeting the International Classification of Diseases–10th Revision (ICD–10) criteria for alcohol dependence recruited from an outpatient treatment clinic and healthy male controls were given a computer-based task to assess learning and performance of escape, avoidance, and approach behaviors. In this task, participants control a spaceship and can either gain points by shooting an enemy spaceship or hide in safe areas to escape or avoid on-screen aversive events. We found that patients with alcohol dependence exhibited greater escape and approach behaviors, tended to show greater avoidance behavior, and achieved higher total score on the computer task than healthy controls. This is the first demonstration of such behavioral differences in this population, supporting the overactivation of both positive and negative reinforcement systems in alcohol dependence, and suggesting that such behavioral biases are not limited to alcohol-related cues. The contribution of this work to behavioral assessment and therapeutic approaches, as well as possible future directions, are discussed.
Applications of Tranexamic acid in benign gynecology.

PURPOSE OF REVIEW Bleeding at the time of benign gynecologic surgery, as well as from benign gynecologic conditions, is a major source of morbidity for many women. Few nonhormonal medical options exist for the treatment of heavy menstrual bleeding, and to reduce surgical bleeding during major gynecologic surgery. Interest in Tranexamic acid (TXA) as a means to reduce surgical blood loss has been growing across many surgical specialties. This review focuses on applications for TXA as a means to reduce heavy menstrual bleeding (HMB) as well as to reduce surgical bleeding during benign gynecologic surgery. RECENT FINDINGS Tranexamic acid is an effective treatment to reduce the volume of bleeding during menstruation. Tranexamic acid was found to be superior to both placebo and oral progestins, and as good as combined oral contraceptives at reducing menstrual blood volume. Tranexamic acid has also been show to reduce the volume of bleeding during abdominal myomectomy as well as hysterectomy. There is a major need for prospective studies evaluating the utility of TXA for reducing blood loss during benign gynecologic surgery. SUMMARY Tranexamic acid has been found to be an excellent affordable nonhormonal treatment option for women with HMB and should be considered during major gynecologic surgery.
Mental Ill Health in Homeless Women: A Review

Abstract Research indicates that homeless women are reported to experience more mental health issues than women who are not homeless and are an increasing proportion of the overall homeless population. In addition, homeless women are more likely to have alcohol and/or other drug use disorders. We provide a comprehensive review of the contemporary literature that revealed homeless women experience a range of mental health problems including depression, anxiety, post-traumatic stress disorder and alcohol and other drug use disorders. Studies in this literature review indicate that some women have pre-existing mental health issues which precipitate homelessness while others develop mental illness because of their homelessness; domestic violence was also recognised as an antecedent to homelessness, although further research is needed in this area. The results of this study indicate that the homeless cohort is a complex one with distinct needs. We provide information that can help refine assessment processes and plan appropriate services to address the mental health needs of homeless women. Finally, recommendations for mental health nursing practice in regard to caring for homeless women are made.
Approximation in Lp(µ) with deep ReLU neural networks

We discuss the expressive power of neural networks which use the non-smooth ReLU activation function ϱ(x) = max{0, x} by analyzing the approximation theoretic properties of such networks. The existing results mainly fall into two categories: approximation using ReLU networks with a fixed depth, or using ReLU networks whose depth increases with the approximation accuracy. After reviewing these findings, we show that the results concerning networks with fixed depth—which up to now only consider approximation in Lp(λ) for the Lebesgue measure λ—can be generalized to approximation in Lp(µ), for any finite Borel measure µ. In particular, the generalized results apply in the usual setting of statistical learning theory, where one is interested in approximation in L2(ℙ), with the probability measure ℙ describing the distribution of the data.
Transition from video-assisted thoracoscopic to robotic esophagectomy: a single surgeon's experience.

Lymph node dissection (LND) along the left recurrent laryngeal nerve (RLN) is a technically challenging part of esophageal cancer surgery, especially after chemoradiotherapy (CRT). Robotic surgery holds promise to increase its safety and feasibility. The aim of this study was to describe a single thoracoscopic surgeon's experience related to the transition from video-assisted esophagectomy (VATE) to robotic esophagectomy (RE)-with a special focus on the safety of left RLN LND. Patients who underwent minimally invasive esophagectomy and RLN dissection following CRT were dichotomized according to the use of robotic surgery (robotic esophagectomy [RE] versus video-assisted thoracoscopic esophagectomy [VATE]). The following parameters were determined: (1) number of dissected nodes, (2) rates of RLN palsy, (3) rates of perioperative complications, and (4) learning curve. Learning curve analysis was performed using the 10-patient moving average (MA) for operation times and with the cumulative sum (CUSUM) method for left RLN LND (target failure rate: 15%). The RE and VATE groups consisted of 39 and 67 patients, respectively. The intraoperative identification of the left RLN was more common in the RE group (97.4%) than in the VATE group (68.7%; P < 0.001). Postoperative left RLN palsy was significantly more frequent in the VATE group (26.9%) than in the RE group (10.3%; P = 0.042), with a higher rate of pneumonia in the former (16.4% versus 2.6%; P = 0.03). The MA chart revealed a downward trend followed by a flattening of the RE operation time at operation number 17 and 29, respectively. CUSUM analysis showed that the left RLN palsy rate decreased to the target rate after 12 operations. We conclude that at least 12 cases are required for a surgeon with prior experience in VATE to safely accomplish left RLN LND through a robotic approach.
Clinical Characteristics and Survival of Patients with Malignant Ovarian Tumors in Addis Ababa, Ethiopia.

BACKGROUND Ovarian cancer is the third leading cause of cancer death among women in Ethiopia, with about 2,550 diagnosed cases and 2,000 deaths each year. The incidence and mortality rates of this disease have been increasing in Ethiopia and other parts of sub-Saharan Africa over the past decades because of changing lifestyle and reproductive factors. In this study, we describe the clinical characteristics, treatment patterns, and survival of patients with ovarian cancer in Ethiopia. MATERIALS AND METHODS This retrospective cohort study included 485 patients diagnosed between January 2009 and October 2015 at Addis Ababa University Hospital, Zewditu Memorial Hospital, or registered in the Addis Ababa population-based cancer registry. Follow-up data were obtained via telephone. Primary endpoint was all-cause mortality. RESULTS The median age was 46 years (range, 11-95). The estimated 1- and 2-year overall survival rates were 78% (95% confidence interval [CI] 0.741-0.82.5) and 59% (95% CI, 0.538-0.646), respectively. Of those patients with result available (n = 423), 73.0% had epithelial cancers. Almost half were classified as Federation of Gynecology and Oncology stage III or IV (48.2%; stage available n = 201) resulting in worse outcomes (hazard ratio [HR], 2.91 [CI 0.67-12.64] and 3.03 [0.69-15.79], respectively). Four out of five patients received some form of surgery (82%), three out of five received platinum-containing chemotherapy. Patients with residual tumor after surgery (n = 83) showed worse survival outcome (HR, 2.23; 95% CI 1.08-4.49). CONCLUSION Our study revealed substantial treatment gaps with respect to surgery and adequate chemotherapy. Higher stage, residual tumor and lack of chemotherapy impaired the outcome. Access to higher standards of ovarian cancer treatment is urgently needed in Ethiopia. IMPLICATIONS FOR PRACTICE Ovarian cancer is often a fatal disease in high resource settings; now it is also becoming important in Ethiopia. This study included 485 women with malignant ovarian tumors treated in Addis Ababa who had a mean age of only 46 years because of the young population structure. Three quarters had the typical epithelial cancer, with half presenting with advanced stage III and IV. Improved oncologic surgery and sufficient chemotherapy could possibly improve their outcome. The relatively high proportion of women with nonepithelial cancer need adequate treatment options to have good prognosis.
Deep Learning based Pedestrian Detection at all Light Conditions

Multispectral pedestrian detection is becoming increasingly important in the field of computer vision due to its applications in driver assistance, surveillance, and monitoring. In this paper, we propose a brightness aware model for pedestrian detection using deep learning. A novel brightness aware mechanism depicts various illumination conditions, so as to enable prediction of day/ night scenario. Based on the detection of the brightness aware mechanism, a color or thermal model is used to detect pedestrians under day or night conditions respectively. The proposed method trained on FLIR-ADAS Thermal dataset and PASCAL VOC Color dataset, has achieved a mAP of ‘81.27%’, which outperforms the current state of the art.
Review on Current Methods of Gait Analysis and Recognition using Kinect

In this study the overview of human gait analysis and recognition is discussed based on method and approach by previous researches specifically using the kinect sensor. It was found that upon extraction of the twenty skeleton points using kinect sensor, most researches investigated and explored suitable method or approach in identifying significant gait features for better recognition rate. The advantages and limitation of each study by previous researchers are discussed in detail. However, there is not many findings reported on investigation of the skeleton joint coordinates in xyz-axes for full body as gait features for human gait recognition. Hence this study review and highlight the potential of coordinates of skeleton joints as gait features and thus should be further explored.
Multi-scale Deep Representation Learning for Face Detection

In this paper, we propose a face detection method with multi-scale deep representation learning. While existing face detection methods have achieved good performance, they fail to consider the large intra-class variations between faces in the prediction stage and the relation between multi-scale proposals in the proposal stage. Our method encourages the network to learn compact features which simultaneously minimizes the intra-class variations and enlarges the inter-class variations. We can make more reliable binary classification between face regions and non-face ones. To obtain better proposals, we predict and select hard proposals according to the sizes of faces. Our method achieves competitive results on the widely used FDDB and WIDER face datasets, which demonstrates the effectiveness of our approach.
Riociguat, sildenafil and inhaled nitric oxide reduces pulmonary vascular resistance and improves right ventricular function in a porcine model of acute pulmonary embolism

Background: Pulmonary vasodilators as add-on to current treatment strategies in acute pulmonary embolism may improve right ventricular unloading and hence improve patient outcome. We aimed to investigate whether stimulation of the nitric oxide (NO)–soluble guanylate cyclase (sGC)–cyclic guanosine monophosphate (cGMP) pathway with riociguat, sildenafil or inhaled NO causes pulmonary vasodilation and improves right ventricular function in a porcine model of acute intermediate risk pulmonary embolism. Methods: Two large autologous blood clots were administered to the pulmonary circulation of 28 pigs (60 kg). Animals were randomized to four increasing, clinically equivalent doses of riociguat (n=6), sildenafil (n=6), inhaled NO (n=6) or vehicle (n=6). Sham animals (n=4) did not receive pulmonary embolism or treatment. Haemodynamic responses were evaluated at baseline, after pulmonary embolism and after each dose using invasive pressure measurements, transoesophageal echocardiography, respiratory parameters and blood analysis. Results: Pulmonary embolism caused a three-fold increase in pulmonary vascular resistance compared with baseline (pulmonary embolism: 352±29 vs. baseline: 107±6 dynes, p<0.0001). All treatments lowered pulmonary vascular resistance compared with vehicle (riociguat: –158±35, sildenafil: –224±35, inhaled NO: –156±35 dynes, p<0.0001). Sildenafil, but neither inhaled NO nor riociguat, caused a decrease in systemic vascular resistance (sildenafil 678±41 vs. vehicle 1081±93 dynes, p=0.02) and increased cardiac output (sildenafil 8.8±0.8 vs. vehicle: 5.9±0.2 L/min, p<0.001). Systemic blood pressure was unaltered in all treatment groups. Conclusion: Stimulation of the NO–sGC–cGMP pathway by riociguat, sildenafil and inhaled NO reduces pulmonary vascular resistance in a porcine model of acute pulmonary embolism without lowering systemic blood pressure.
MaltParser: A Language-Independent System for Data-Driven Dependency Parsing

Parsing unrestricted text is useful for many language technology applications but requires parsing methods that are both robust and efficient. MaltParser is a language-independent system for data-driven dependency parsing that can be used to induce a parser for a new language from a treebank sample in a simple yet flexible manner. Experimental evaluation confirms that MaltParser can achieve robust, efficient and accurate parsing for a wide range of languages without language-specific enhancements and with rather limited amounts of training data.
To strive is human, to abuse malign: discrimination and non-accidental violence of professional athletes without employee-style statutory protection

A recent judgement from a landmark employment case against British Cycling and UK Sport found that Jess Varnish, a former professional British cyclist, was neither an employee nor a worker of either organisation within the meaning of the Employment Rights Act 1996 or the Equality Act 2010. The relationship between the cyclist and British Cycling was judged to be more akin to a relationship between a student and a University (eg, service provider), and that funding provided to the cyclist by UK Sport was analogous to a grant.1 Jess Varnish brought her claims of unfair dismissal (ie, termination of her Athlete Performance Award, which is a means-tested financial contribution towards an athlete’s living expenses), direct sex discrimination, victimisation and unlawful detriment for having made protected disclosures (ie, whistle-blowing) to the Employment Tribunal.1 She sought protections offered to employees or workers but not offered to professional athletes. The case highlights a problem: athletes are not considered to be employees nor workers and therefore are not entitled to employee nor worker protection, but no other equivalent form of protection for athletes exists. Why …