Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of genetic polymorphism of LKB/STK11 with therapeutic response of metformin in women with polycystic ovary syndrome

Background: Polycystic ovary syndrome (PCOS) is recognized as one of the most common endocrine abnormalities of human, it is characterized by hyperandrogenism, and metabolic derangement including glucose intolerance and hyperinsulinemia. Single Nucleotide Polymorphism in STK11 gene have been suggested to be associated with metformin efficacy in PCOS treated patients. Purpose: To investigate the relation of STK11 gene polymorphism (rs741765 C/T) with the response to metformin therapy for a period of three months in PCOS treated women in Karbala city. Patients and Methods: This is a prospective study for two hundred thirty-five Iraqi patients, who newly diagnosed with PCOS based on Rotterdam criteria by physician’s diagnosis during their visit to Women’s Hospital obstetrics education in Karbala /Iraq during the period from july,2019 till the end of april,2020.Patients with thyroid dysfunction, congenital adrenal hyperplasia and Cushing’s syndrome were excluded,the matched age was (18-40years). DNA extraction kit and Allele-specific polymerase chain reaction (PCR) were used for STK11 gene polymorphism, PCR product was visualized by agarose gel electrophoresis, enzymatic methods were used for blood sugar, and lipid profile measurement, LH, FSH, TSH, prolactin, total testosterone, estradiol, F.insulin were all tested by cobas e 411 analyzer, ELISA kit was used to measure SHBG. LH/FSH ratio, FAI, and HOMA-IR were calculated, all these parameters European Journal of Molecular & Clinical Medicine ISSN 2515-8260 Volume 07, Issue 03, 2020 540 were measured for each patient and after 3-months therapy the patients had a medical checkup, identical to that before metformin giving. Results: The clinical, metabolic and endocrinal characteristics among STK11 rs741765 genotypes showed a significant differences and metformin efficacy increase as following TT>CT>CC genotypes. Conclusion: A polymorphism in STK11, a kinase gene expressed in liver and implicated in metformin action was an associated with metformin efficacy and percentage of responder women increase with number of T allele in rs741765 SNPs.
Comparison of Cervical and Vaginal Specimens for HPV/DNATest for Screening Cervical Carcinoma among 35 Year Age Cohort Ever Married Women in a District of Sri Lanka: A Cross Sectional Study

Background: Currently, pap smears are used to screen cervical cancers in Sri Lanka. Two major drawbacks of pap smear screening method are the suboptimal sensitivity and the low coverage. HPV/DNA screening method can be used as a cervical cancer screening method and high sensitivity (92.9%) is the major advantage of it. Specimens can be collected for HPV/DNA test from two sampling site a) from the cervix b) from the vagina. Vaginal specimen collection is more feasible as it does not require speculum examination, therefore primary healthcare worker can be collected a specimen. The objective of the study is to compare HPV/DNA test results of specimens from two sampling sites as a measure to improve the quality and coverage of the National Cervical Cancer Screening programme in Sri Lanka.
Honeybee Detection and Pose Estimation using Convolutional Neural Networks

The ability to automatize the analysis of video for monitoring animals and insects is of great interest for behavior science and ecology [1]. In particular, honeybees play a crucial role in agriculture as natural pollinators. However, recent studies has shown that phenomena such as colony collapse disorder are causing the loss of many colonies [2]. Due to the high number of interacting factors to explain these events, a multi-faceted analysis of the bees in their environment is required. We focus in our work in developing tools to help model and understand their behavior as individuals, in relation with the health and performance of the colony.
Internet Anycast: Performance, Problems and Potential

Internet Anycast depends on interdomain routing to direct clients to their “closest” sites. Using data collected from a root DNS server for over a year (400M+ queries/day from 100+ sites), we characterize the load balancing and latency performance of global anycast. Our analysis shows that site loads are often unbalanced, and that most queries travel longer than necessary, many by over 5000 km. Investigating the root causes of these inefficiencies, we can attribute path inflation to two causes: Like unicast, any-cast routes are subject to interdomain routing policies that can increase path length compared to theoretical optimals (e.g., geographically closest). Unlike unicast, anycast routes are also affected by poor tie-break choices when paths to multiple sites are available, subjecting anycast routes to an additional, unnecessary, penalty. Unfortunately, BGP provides no information about the number or goodness of reachable anycast sites. We propose an additional hint in BGP advertisements for anycast routes that can enable ISPs to make better choices when multiple “equally good” routes are available. Our results show that use of such routing hints can eliminate much of the anycast-specific path inflation, enabling anycast to approach the performance of unicast routing.
redicting optical transmission through complex scattering media from eflection patterns with deep neural networks

Deep neural networks (DNNs) are used to reconstruct transmission speckle intensity patterns from the respective reflection speckle intensity patterns generated by illuminated parafilm layers. The dependence of the reconstruction accuracy on the thickness of the sample is examined for different illumination patterns of various feature sizes. High reconstruction accuracy is obtained even for large parafilm thicknesses, for which the memory effect of the sample is vanishingly small. The generalization capability of the DNN is also studied for unseen scatterers of the same type.
Applying Electrocardiogram as a CoverSignal toHide Patient’s Confidential Information: A Review

: As technology grows day by day, wearable electrocardiogram monitoring devices also increases. A lot of patient confidential data is monitored and shared worldwide. There is need to protect patient’s secret information. Several techniques have been developed where Electrocardiogram signals can be utilized to hide the patient secret information. The whole process is focused on a) to provide encryption to the patient data and b) to recover the original ECG signal.HIPAA (Health Insurance Portability and accountability Act), governess that patient transmitted information must be safe to any kind of threats, to protect its confidentiality and privacy.This paper review distinct methods of ECG steganography techniques to hide patient secret information
Running title: FETAL AND MATERNAL PLACENTA OF NEW ZEALAND RABBITS Academy Section: BIOLOGICAL SCIENCES

The onset of gestation is characterized by growth, morphological and functional changes of the placenta. We aim to evaluate the placental compartments in New Zealand rabbits by means of stereological methods. The fetal and maternal portion of placenta (12, 14, 18 and 20 gestational days) was randomly sampled for the stereological analysis. Histological sections were scanned to estimate fetal (labyrinth and junctional) and maternal (decidua) compartment volumes. The total volume of the placenta for the ages of 12, 14, 18 and 20 days was, respectively, 320 mm, 340 mm, 940 mm and 1300 mm. The volume of the labyrinth was 56 mm, 119 mm, 231 mm and 481 mm, respectively. The volume of junctional zone was 75 mm, 76 cm, 238 mm and 314 mm, respectively. The volume of decidua was 174 mm, 143 mm, 469 mm and 504 mm, respectively. We concluded that the rabbit ́s placenta compartments varied according to the gestational period, increasing continuously over the 20 gestational days. However, on the onset of the development of the placenta the decidua presented faster growth, whereas after the 20 days of development, the labyrinth developed more quickly. This study represents an aid to the understanding of placentation in humans.
Inactivation of Wnt-LRP5 signaling suppresses the proliferation and migration of ovarian cancer cells

Background Ovarian cancer (OCa) is the most lethal gynecological malignant tumor, with few or no specific symptoms in its early stage. There are many signaling pathways involved in the process of OCa progression, among which the highly complex Wnt signaling pathway plays a unique role in the occurrence and development of OCa because of its functions of regulating gene expression, cell proliferation, migration, and invasion. Lipoprotein associated receptor protein 5/6 (LRP5/6) binds to activate this key pathway. Therefore, it is very important to study the mechanism of Wnt-LRP5 signaling pathway in the proliferation and migration of OCa. Methods In the present study, we have investigated the role of Wnt-LRP5 signaling pathway in OCa proliferation and migration for the first time using the dominant negative plasmid of LRP5 (DN-LRP5) and human OCa cells HO8910PM plus in a mouse model. Results Our data showed inactivation of LRP5 resulted in shift of epithelial-mesenchymal transition (EMT), rearrangement of the cytoskeleton, lowered activity of pro-proliferation and pro-migration cancer signaling pathways including Akt, p38 and NF-κB, eventually decreased proliferation and migration of OCa cells HO8910PM in vitro. Moreover, in vivo OCa-DN-LRP5 mouse model developed significantly smaller tumors as determined by inoculation of HO8910PM-DN-LRP5 cells into nude mice. Conclusions Collectively, our results demonstrate the dominant role of Wnt-LRP5 in OCa proliferation and migration and its potential as a valuable therapeutic target.
Ignition Delay Times of a Range of Alternate Jet Fuels and Surrogate Fuel Candidate Hydrocarbons under Fuel-Lean Conditions: a Shock Tube Study

The ignition delay times in the combustion of jet fuels under fuel-lean conditions provide critical information with regard to the high altitude relight and lean blowout limit (LBO). In this study, the ignition delay times were measured behind reflected shock waves under high pressures and fuel-lean conditions for conventional (JP-8), bio-, and Fischer−Tropsch��~ FT) processed alternate jet fuels. In addition, the ignition delay of several hydrocarbons proposed as components in surrogate jet-fuels - n-heptane, n-dodecane (the normal paraffinic component), m-xylene (the aromatic component), and a blend of n- dodecane and m-xylene (77:23 (liquid vol. %)) - was investigated. One of the primary goals of this study was to evaluate the feasibility of the tested alternate fuels as drop-in replacements for conventional jet fuels. This required an understanding of how differences in fuel composition could affect the ignition characteristics. As a first step, only the chemical ignition delay was considered, and therefore, the fuels were pre-vaporized and pre-mixed prior to ignition. Two single-pulse shock tubes, one heated and another non-heated, were used to obtain the current data set. The experimental conditions covered a temperature range of approximately 1000-1600 K, at a pressure of about 18 (±10%) atm, and at an equivalence ratio of 0.5, using argon as the diluent (93%, volume). The preliminary results show an indiscernible difference between ignition delay times of JP-8, the bio-and FT- processed jet-fuels, n-heptane, n-dodecane and the n-dodecane / m-xylene blend under the fuel-lean conditions of this study over the temperature range investigated. However, the ignition delay times of pure m-xylene were significantly longer under identical conditions. The SERDP kinetic model developed under the Strategic Environmental Research and Development Program (SERDP) was used to simulate the ignition delay times for the single component hydrocarbons and the n-dodecane / m-xylene blend. The SERDP model includes the JetSurf 0.2 mechanism as one of the sub-mechanisms. The sensitivity and reaction path analyses indicate the dominance of light hydrocarbon oxidation chemistry (mainly, C 1-C3) in the pre-ignition reaction domain under fuel-lean conditions irrespective of the parent reactant alkane tested. Preliminary results for sensitivity analysis of the blend indicate that even in the presence of an aromatic like m-xylene, the pre-ignition chemistry of the blend is essentially that of oxidation of n-dodecane fragmentation products since large n-alkanes are a major component in most of these fuels. Therefore, fast fragmentation and oxidation of
Rail-5k: a Real-World Dataset for Rail Surface Defects Detection

This paper presents the Rail-5k dataset for benchmarking the performance of visual algorithms in a real-world application scenario, namely the rail surface defects detection task. We collected over 5k high-quality images from railways across China, and annotated 1100 images with the help from railway experts to identify the most common 13 types of rail defects. The dataset can be used for two settings both with unique challenges, the first is the fully-supervised setting using the 1k+ labeled images for training, fine-grained nature and long-tailed distribution of defect classes makes it hard for visual algorithms to tackle. The second is the semi-supervised learning setting facilitated by the 4k unlabeled images, these 4k images are uncurated containing possible image corruptions and domain shift with the labeled images, which can not be easily tackle by previous semi-supervised learning methods. We believe our dataset could be a valuable benchmark for evaluating robustness and reliability of visual algorithms.
Elevated IgE promotes cardiac fibrosis by suppressing miR-486a-5p

Rationale: Cardiac fibrosis is an important feature of cardiac remodeling and is a hallmark of heart failure. Recent studies indicate that elevated IgE plays a causal role in pathological cardiac remodeling. However, the underlying mechanism of how IgE promotes cardiac fibrosis has not been fully elucidated. Methods and Results: To explore the function of IgE in cardiac fibrosis, we stimulated mouse primary cardiac fibroblasts (CFs) with IgE and found that both IgE receptor (FcεR1) and fibrosis related proteins were increased after IgE stimulation. Specific deletion of FcεR1 in CFs alleviated angiotensin II (Ang II)-induced cardiac fibrosis in mice. To investigate the mechanisms underlying the IgE-mediated cardiac fibrosis, deep miRNA-seq was performed. Bioinformatics and signaling pathway analysis revealed that IgE upregulated Col1a1 and Col3a1 expression in CFs by repressing miR-486a-5p, with Smad1 participating downstream of miR-486a-5p in this process. Lentivirus-mediated overexpression of miR-486a-5p was found to alleviate Ang II-induced myocardial interstitial fibrosis in mice. Moreover, miR-486-5p serum levels were lower in patients with heart failure than in healthy controls, and were negatively correlated with NT-proBNP levels. Conclusions: Our study demonstrates that elevated IgE promotes pathological cardiac fibrosis by modulating miR-486a-5p and downstream factors, such as Smad1. These findings suggest new targets for pathological cardiac fibrosis intervention.
Comparing Girls’ and Boys’ Lived Bodies of Middle School Students in Self-Defense Utilizing Participant Observation

The Frailty Myth proposes that the female body can be frozen, restricted by the ever present negative gendered narrative perpetuated by society. Embodiment occurs when the female body is thawed. The opposite can be argued for boys. Boys are taught to live their bodies, that is they have a sense of embodiment. Therefore, boys do not have to concern themselves with thawing their bodies as they already experience their bodies in strong and liberal ways. In this study, I compare how girls and boys live their bodies utilizing participant observation. Six themes emerged: being the instructor, gendered discourse in action, body proximity and movement, The Invincibility Effect, the grade six and seven/eight divide and lived body moments. The implications of these observations suggest how activities such as self-defense have the potential to create a lived body, that girls can work toward a lived body and gender can be observed through everyday lived experiences. Though research exists within the literature; it does not seem to address the performance of the lived body within this population, utilizing a comparative approach.
Characterisation of Extreme Precipitation Events in the Pyrenees: From the Local to the Synoptic Scale

Mountain systems within the Mediterranean region, e.g., the Pyrenees, are very sensitive to climate change. In the present study, we quantified the magnitude of extreme precipitation events and the number of days with torrential precipitation (daily precipitation ≥ 100 mm) in all the rain gauges available in the Pyrenees for the 1981–2015 period, analyzing the contribution of the synoptic scale in this type of event. The easternmost (under Mediterranean influence) and north-westernmost (under Atlantic influence) areas of the Pyrenees registered the highest number of torrential events. The heaviest events are expected in the eastern part, i.e., 400 mm day−1 for a return period of 200 years. Northerly advections over the Iberian Peninsula, which present a low zonal index, i.e., implying a stronger meridional component, give rise to torrential events over the western Pyrenees; and easterly advections favour extreme precipitation over the eastern Pyrenees. The air mass travels a long way, from the east coast of North America, bringing heavy rainfall to the western Pyrenees. In the case of the torrential events over the eastern Pyrenees, the trajectory of the air mass causing the events in these areas is very short and originates in the Mediterranean Basin. The North Atlantic Oscillation (NAO) index has no influence upon the occurrence of torrential events in the Pyrenees, but these events are closely related to certain Mediterranean teleconnections such as the Western Mediterranean Oscillation (WeMO).
Advancement of Protein a Domain for Mild Antibody Purification

Antibodies are exceptionally significant, normally utilized devices inside biomolecular examination and investigation, just as clinical conclusion and treatment. Monoclonal antibodies establish the biggest class of endorsed biotherapeutics, and the quantity of neutralizer drugs that are accessible for clinical use is expanding ceaselessly. Hence, there is an expanding interest for effective counter acting agent purging procedures. The most generally utilized strategy for sanitization of antibodies is partiality chromatography dependent on Protein A.
SATORI: Efficient and Fair Resource Partitioning by Sacrificing Short-Term Benefits for Long-Term Gains*

Multi-core architectures have enabled data centers to increasingly co-locate multiple jobs to improve resource utilization and lower the operational cost. Unfortunately, naively co-locating multiple jobs may lead to only a modest increase in system throughput. Worse, some users may observe proportionally higher performance degradation compared to other users co-located on the same physical multi-core system. SATORI is a novel strategy to partition multi-core architectural resources to achieve two conflicting goals simultaneously: increasing system throughput and achieving fairness among the co-located jobs.
DETECTION OF MALICIOUS URLs USING MACHINE LEARNING

— There has been a massive growth in the sheer number of people using the world wide web in the past 15 years. Services ranging from banking to education, from social media to gaming have attracted many people to perform their daily tasks. Due to this, large chunks of information are transferred through the web on a daily basis. Along with all the advancements made there has been a massive rise in cybercriminals who prey on the wealth of information which is available online. They target unsuspecting users for different types of information ranging from private data to bank details or to even steal identity of a legal person to engage in illegitimate activities. It has been a great challenge for the service providers to keep cybercriminals off their users so that their data is secured at any given time. We know that URLs are a gateway to any service a user wants to access and is also the most vulnerable piece of the link which connects the user to the service. Attackers often spoof or provide fake URL’s which leads users to unknowingly provide them with sensitive data. In this paper we have proposed a machine learning system which uses Logistic Regression to identify malicious URLs. This can be useful for users to check if a URL is safe to visit or not.
Empirical Study of New Metrics for the Internet Route Hijack Risk Assessment

Possibility of dynamic routes change between nodes which are not physically connected is a key feature of the Internet routing. With two key concepts - one-hop forwarding in routing process and possibility of address space aggregation for routing purposes, the Internet became global and can grow virtually unlimited. However, one of the most significant problems of the Internet connectivity is caused by the Border Gateway Protocol (BGP) weaknesses – lack of verification of input routing data. It leads to the so-called route leaks and route hijacks. None of proposed and partially implemented upgrades and add-ons which are referred to as MANRS can deliver reliable defense against those types of attacks. Route hijack detection services are mainly provided by third-party services such as BGPMon. They track worldwide routes by tracing and keep track of route announcements in BGP, and notify the network administrator of suspicious events related to their prefixes based on routing information. And the main problem is that monitoring alert is post-mortem reaction when the routing accident has already happened or is happening. That's why it is necessary to learn how to manage risks arising from cyber attacks on global routing. Assessing the risks of route interception requires quantitative measurement of the impact of an attack on the routing distortion, and therefore, the breach of information security. This offers a way of exploring the topology of connections between Internet nodes to further solve the risk management task with topology methods. In previous papers we used the knowledge of the features of the Internet topology to find the relationship between topology and global routing vulnerability. One of the most important steps was to build a formal model of global Internet routing with formal description for objects, relations and processes of the Internet rout-ingsuch as the IP address, address space, network prefix and their encapsulation, route, best path, and routing itself. In this paper we offer new node metrics for representation of both components of information security risk - possible losses and likelihood of losses. The first metric, which we have, called 'significance', is tied it to importance of node in routes distribution, with impact of number and weight of announced prefixes. The second metric, called 'trust', reflects likelihood of hijacking a route on a particular node. Finally, we demonstrate some empirical results of how these metrics can model the effective network topology regarding relaxation risks of route hijack.
Iterative solution of split equilibrium and fixed point problems in real Hilbert spaces

In this article, we introduce a hybrid iteration involving inertial-term for split equilibrium problem and fixed point for a finite family of asymptotically strictly pseudocontractive mappings. We prove that the sequence converges strongly to a solution of split equilibrium problem and a common fixed point of a finite family of asymptotically strictly pseudocontractive mappings. The results proved extend and improve recent results of Chang et al. [S. S. Chang, H. W. J. Lee, C. K. Chan, L. Wang, L. J. Qin, Appl. Math. Comput. , 219 (2013), 10416–10424], Dewangan et al. [R. Dewangan, B. S. Thakur, M. Postolache, J. Inequal. Appl. , 2014 (2014), 11 pages], and many others.