Miracle-dz/UniFAR-FTUs huggingface dataset:
Extrachromosomal Circular DNA from TCGA Tumors Is Generated from Common Genomic Loci, Is Characterized by Self-Homology and DNA Motifs near Circle Breakpoints

Simple Summary Extrachromosomal circular DNA is ubiquitous in eukaryotic cells. In tumors, highly amplified oncogenes exist in circular DNA, and circular DNA correlates with poor prognosis in multiple tumor types. Despite the emerging importance of extrachromosomal circular DNA, little is known about the origin or biological function of circular DNA. We investigated publicly available circular DNA from 355 TCGA tumors from 22 tumor types. We identify several locations frequently circularized irrespective of the type of cancer. Analysis of the genes present on circles revealed they are expressed, and at a higher level. These genes were enriched in cancer related functions regardless of tumor type. Analysis of circle breakpoints identified strong presence of homology and microhomology with an enrichment of specific DNA binding transcription factor motifs. Our results provide a framework for addressing key questions in the biogenesis and functional importance of extrachromosomal circular DNA. Abstract Extrachromosomal circular DNA has emerged as a frequent genomic alteration in tumors. High numbers of circular DNAs correspond to poor prognosis suggesting an important function in tumor biology. However, despite mounting evidence supporting the importance of circular DNA, little is known about their production, maintenance, or selection. To provide insight into these processes, we analyzed circular DNA elements computationally identified in 355 TCGA tumors spanning 22 tumor types. Circular DNAs originated from common genomic loci irrespective of cancer type. Genes found in circularized genomic regions were more likely to be expressed and were enriched in cancer-related pathways. Finally, in support of a model for circle generation through either a homology or microhomology-mediated process, circles exhibit homology near their breakpoint. These breakpoints are also enriched in specific DNA motifs. Our analysis supports a model where gene-containing circles emerge from common, highly transcribed regions through a homology-mediated process.
Estudi pilot sobre aplicacions de la tomografia de coherència òptica Swept Source en els tumors coroideus

A partir de una serie de 58 casos de diferentes diagnosticos de tumores coroideos, estudio piloto para sugerir aplicaciones de la tecnologia de imagenes por tomografia de coherencia optica Swept Source. Se han tomado las imagenes correspondientes, analizado y comparado con la informacon de las pruebas convencionales para el estudio de estas enfermedades. El analisis de los resultados sugiere aplicaciones en el diagnostico diferencial, monitorizacion y tratamiento de los tumores coroideos.
Effects of Partial Substitution of Conventional Protein Sources with Duckweed (Lemna minor) Meal in the Feeding of Rainbow Trout (Oncorhynchus mykiss) on Growth Performances and the Quality Product

Duckweed (Lemna minor) meal was included in the formulation of three experimental feeds (L1, L2, L3) for rainbow trout at 10%, 20%, 28% of the protein source, respectively. Increasing the duckweed inclusion, the other protein sources were adjusted to get isonitrogenous (41%) and isolipidic (20%) diets, as the control diet (LC). 540 fish (mean body weight 124.5 ± 0.7 g) were randomly allocated in 12 tanks divided equally among the four different diets. After 90 days, fish were weighed and the most important productive performances, fillet quality and fatty acid profile were determined. The final body weight in L1 (340.53 g) and L2 (339.42 g) was not different from LC (348.80 g); L3 trout significantly (p < 0.05) exhibited the lowest one (302.16 g). Similar trends were found in final mean length, weight gain, specific growth rate, food conversion rate. Somatic indices were affected by duckweed inclusion. Diets had not significant effects on the proximate composition and fatty acids of the fillet in L1, L2, L3 respect to LC. Based on this study, duckweed meal derived from Lemna minor can be included in the feed for the rainbow trout without negative effects on the growth performances at 20% of the protein substitution.
All-fiber high-peak power chirped pulse amplifier based on a triple-cladding fiber for pulse stretching and a highly-Yb-doped pedestal fiber for pulse amplification

We demonstrate a highly-Yb-doped fiber with pedestal and triple-cladding stretching fiber for utilizing in chirped pulses amplification systems with high ratio of stretching/compression and low level of stimulated Raman scattering. The stretching triple-cladding fiber consisting of high-index Ge-doped core, low-index F-doped depression concentric layer and high-index Ge-doped concentric layer. By varying the fiber structure parameters (refractive indexes and geometrical size) we were able to tailor its dispersion parameter and its slope values in order to match these with a grating-pair compressor ones to obtain better pulse compression quality (shortest possible duration and pedestal-free structure). Realized fiber has dispersion parameter of -140 ps/nm/km at 1026 nm and slope of 12 um^-1. The highly-Yb-doped fiber for the final amplification stage of the CPA has aluminophosphorosilicate glass core with a germanium-doped pedestal around it; core/pedestal diameters were 14/50 um, outer cladding has square shape with edge size of 130 um. Despite of high Yb ions content (cladding absorption of 40 dB/m at 976 nm) the core NA was only 0.09 due to the creation of the pedestal. We utilized a 23 cm piece of the fiber to amplify 22ps chirped pulses with 1.432 MHz repetition rate up to 10.2W of average power, when the first stokes of Raman starts to evolve, corresponding to 320 kW of peak power. The pump-to-signal conversion efficiency was 64%. M2 factor was 1.15/1.12. Experiments on amplification of the 500 ps chirped pulses and its compression will be presented at the conference.
Lexical Cohesion Patterns of Natural Science Academic Text and Implications for Lexical Teaching: Textual Analysis of IELTS Reading Passages

With IELTS’s worldwide recognition as an accountable indicator of English proficiency level, scholars have investigated IELTS extensively to provide insights for ESL teaching. Despite the manifold investigation into the validity, typographical features, washback on candidates and practical knowledge of the reading test, little research is done to manifest its lexical cohesion patterns and pedagogical implications. To fill in the research gap, the researcher selected 20 natural science passages from IELTS reading passages and conducted textual analysis under Halliday and Hasan’s English cohesion framework. Pedagogical implications are revealed by combining research findings with a lexical-based teaching approach, lexical syllabus design and knowledge structure development in the subject matter. Research findings indicate that the lexical cohesion patterns of natural science passages share similar organisational structures with subject matter knowledge. Reiteration patterns establish a panoramic view and taxonomic framework of subject matter, whereas collocation patterns focus on detailed explanations, examples and contextual extension that can contribute to the accruement of real-world knowledge. Based on these findings, the study suggests that the teacher can integrate lexical cohesion syllabus into the traditional pre-reading, while-reading and post-reading teaching stages. Though limited in scope and validity, these findings can provide a framework of combined research between text analysis and teaching approaches. More empirical experiments can be followed up to undergird the efficacy of the suggested lexical syllabus and provide more detailed pedagogical insights.
Utilizing Social Clustering-based regression model for Predicting Student’s GPA

The importance of e-learning has exceeded expectations over the past decade. Accordingly, several systems have been developed in completing intelligent assistive tools where students’ behavior can be tracked and followed with suitable recommendations to enhance students’ performance. This paper has two main objectives. First, the Community of Inquiry framework (CoI) is utilized as one of the most prominent student behavioral modeling to select features that best represent the students. According to experts’ annotation, this study filters students’ measured attributes from the StudentLife dataset to the CoI model, focusing on social presence. Second, the research looks at improving the accuracy and runtime of the Grade Point Average (GPA) prediction by introducing a hybrid model that combines combining k-means clustering phase based on student similarity with regression-based prediction. The clustering was performed on both static and Spatio-temporal (spatial time -series) students’ attributes. Results show that LassoCV outperforms other regression techniques such as Standard Linear, Lasso, and Ridge Regression with an RMSE averaged around 0.15 and an average Adjusted R2 of 0.935 overall trials. Selecting the features according to the CoI reduces the number of features by 62.8%. Time-series clustering on its own was not beneficial; however, when conducted with the selection phase, it raised the quality of the model achieved by 2-3%.
User-centred multimodal authentication: securing handheld mobile devices using gaze and touch input

ABSTRACT Handheld mobile devices store a plethora of sensitive data, such as private emails, personal messages, photos, and location data. Authentication is essential to protect access to sensitive data. However, the majority of mobile devices are currently secured by singlemodal authentication schemes which are vulnerable to shoulder surfing, smudge attacks, and thermal attacks. While some authentication schemes protect against one of these attacks, only few schemes address all three of them. We propose multimodal authentication where touch and gaze input are combined to resist shoulder surfing, as well as smudge and thermal attacks. Based on a series of previously published works where we studied the usability of several user-centred multimodal authentication designs and their security against multiple threat models, we provide a comprehensive overview of multimodal authentication on handheld mobile devices. We further present guidelines on how to leverage multiple input modalities for enhancing the usability and security of user authentication on mobile devices.
T1w/T2w Ratio and Cognition in 9-to-11-Year-Old Children

Childhood is a period of extensive cortical and neural development. Among other things, axons in the brain gradually become more myelinated, promoting the propagation of electrical signals between different parts of the brain, which in turn may facilitate skill development. Myelin is difficult to assess in vivo, and measurement techniques are only just beginning to make their way into standard imaging protocols in human cognitive neuroscience. An approach that has been proposed as an indirect measure of cortical myelin is the T1w/T2w ratio, a contrast that is based on the intensities of two standard structural magnetic resonance images. Although not initially intended as such, researchers have recently started to use the T1w/T2w contrast for between-subject comparisons of cortical data with various behavioral and cognitive indices. As a complement to these earlier findings, we computed individual cortical T1w/T2w maps using data from the Adolescent Brain Cognitive Development study (N = 960; 449 females; aged 8.9 to 11.0 years) and related the T1w/T2w maps to indices of cognitive ability; in contrast to previous work, we did not find significant relationships between T1w/T2w values and cognitive performance after correcting for multiple testing. These findings reinforce existent skepticism about the applicability of T1w/T2w ratio for inter-individual comparisons.
Disparities in peripheral artery disease care: A review and call for action

Peripheral artery disease (PAD), the pathophysiologic narrowing of arterial blood vessels of the lower leg due to atherosclerosis, is a highly prevalent disease that affects more than 6 million individuals 40 years and older in the United States, with sharp increases in prevalence with age. Morbidity and mortality rates in patients with PAD range from 30% to 70% during the 5- to 15-year period after diagnosis and PAD is associated with poor health outcomes and reduced functionality and quality of life. Despite advances in medical, endovascular, and open surgical techniques, there is striking variation in care among population subgroups defined by sex, race and ethnicity, and socioeconomic status, with concomitant differences in preoperative medication optimization, amputation risk, and overall health outcomes. We reviewed studies from 1995 to 2021 to provide a comprehensive analysis of the current impact of disparities on the treatment and management of PAD and offer action items that require strategic partnership with primary care providers, researchers, patients, and their communities. With new technologies and collaborative approaches, optimal management across all population subgroups is possible.
Design and Simulation of Silicon-Based Suspension Beams for Various MEMS Sensors

This paper mainly concentrates on finding maximum displacement and Eigen frequency for microelectromechanical system (MEMS) inertial sensors with various beam structures. In this work, six different shapes of beams are attached with one set of electrodes to find which structure exhibits the maximum displacement with less cross-axis displacement and to observe the operating frequency. The momentum of the beams is directly proportional to the thickness and length, which provides the maximum flexibility to produce momentum on proof mass. The beam thickness is 5 um for all proposed sensors and the momentum has been observed by changing different shapes of beam structures. The momentum occurred on proof mass due to applied physical energy. The same amount of physical energy is applied to all structure and the momentum, quality factor, and displacement are measured which had been compared and the table is given.
Study on Impact of Mutual Coupling on Performance of Dual Polarized Phased Array Antenna

This study involves the determination of the impact of mutual coupling between antenna elements on the performance of a dual-polarized, wide-angle scanning, phased array antenna for weather radar applications. Weather radars require dual linearly polarized antennas with low cross-polarization, and a narrow beam phased array for wide scanning angle. For this simulation-based study, a microstrip dual linearly polarized 2x20 phased array antenna operating at S-band (2.65 to 3.0 GHz) is designed. This antenna has been designed to have a cross-polarization level less than -45 dB at both polarizations and for the scan angle range of -55o to 55o, which is better than most of the existing dual-pol phased array antennas. This antenna has been used to analyze the impact of mutual coupling on cross-polarization, beamwidth, and antenna gain at various scan angles. Mutual coupling is studied in terms of antenna active element pattern and the corresponding cross-polarization value as well as the active reflection coefficient and impedance values for inter-element spacings of 0. 4λ and 0. 5λ. It has been found in this study that cross-polarization levels of the whole array (at various scan angles) are affected significantly because of mutual coupling between elements.
Professional Microsoft Search: FAST Search, SharePoint Search, and Search Server

Use Microsoft's latest search-based technology-FAST search-to plan, customize, and deploy your search solution FAST is Microsoft's latest intelligent search-based technology that boasts robustness and an ability to integrate business intelligence with Search. This in-depth guide provides you with advanced coverage on FAST search and shows you how to use it to plan, customize, and deploy your search solution, with an emphasis on SharePoint 2010 and Internet-based search solutions. With a particular appeal for anyone responsible for implementing and managing enterprise search, this book presents the key features and functions that are available with FAST search. Real-world examples show you how the technology works and the author team of experts demonstrates how FAST can be used to solve key challenges in the Enterprise. FAST search is Microsoft's latest search-based technology that enables large companies to filter through enormous amounts of data to find very specific pieces of information Reviews the key features and functions of FAST and provides examples of how FAST can be used to solve common challenges you may face Covers Enterprise Search and the Microsoft search product line, SharePoint-focused Enterprise search, and FAST search for Internet business Demonstrates how to implement and manage an enterprise system with FAST search Addresses the future of Enterprise search and the role FAST search will play Don't waste any time! This book will help you act fast so you can get started implementing FAST search today.
Electrical performance analysis of a CPW capable of transmitting microwave and optical signals

A study on the microwave performance of a metallic transmission line capable of simultaneously transmitting microwave and optical signals is presented targeting millimeter-long interconnects. Conventional analytical solution is used to find the optimal structure for a given characteristic impedance. Then, functionality of the link is validated through S-parameter measurements for 3–13 mm long lines. The waveguide parameters, such as resistance, inductance, capacitance, and conductance are extracted based on a lumped circuit model. The modeling enables structure optimization for interconnect bandwidth density of 1 Gb/s/μm and more.
An intelligent monitoring system of household waste delivery

This paper develops an intelligent real-time monitory system for household waste, which comprises a house waste collection and delivery device, a dustbin load-carrying device, a garbage-dropping weighing sensor, and an information collection and supervision platform. Among them, the dustbin load-carrying device includes the dustbin load platform and the dustbin load rod. The garbage weighing device includes electronic sensor, intelligent scale device and intelligent electronic chip device. The system separates the dustbin from the ground by the load-carrying platform and the loadcarrying lever, and the quality change information of the dustbin is fed back into the smart chip through the intelligent electronic scale and sensor, which transmits the information to the online supervision platform. The study can monitor and count the generation of domestic waste in various types of communities in China in real time, realize the real-time monitoring and efficient dispatch of household waste production tasks, optimize the data information of household waste production, provide a scientific and reliable basis for the statistics of domestic waste production and the identification of information on the behaviours of residents, effectively improve the efficiency of household waste collection and transportation, and reduce the cost of household waste collection and transportation.
Diagnostic value of of Long Non-Coding RNA ZFAS1 as a Potential Biomarker for Hepatocellular Carcinoma

Background: Hepatocellular carcinoma (HCC) is the fourth most common cause of cancer-related deaths globally. Long non-coding RNAs (lncRNAs) may be considered as potential markers for HCC. The aim of this study is to evaluate the diagnostic and prognostic value of lncRNA ZFAS1 in HCC patients. Materials and methods: The current study included 100 cirrhotic patients with HCC, in addition to 100 cirrhotic patients without HCC as control group. RNA extraction was performed for quantification of ZFAS1 expression by real-time quantitative polymerase chain reaction. Results: ZFAS1 gene expression was significantly elevated in HCC group of patients compared to non-HCC group. The ability to distinguish HCC from cirrhotic controls by ZFAS1 was determined to be 1.00 (95% CI:1.00-1.00). Comparison between the diagnostic performance of ZFAS1 and AFP in differentiating HCC on top of cirrhosis from cirrhosis without HCC showed that, at cutoff values ≥ -4.65 ZFAS1 gene had 100 % specificity and 99% sensitivity while, AFP at cutoff value ≥ 9.4 ng/ml had 100 % specificity and 76% sensitivity. Comparison of AUC for the two parameters demonstrated a significantly higher AUC for ZFAS1 than for AFP (Difference = 0.168, P <0.001). No statistically significant correlation between ZFAS1gene and any HCC characteristic however, a statistically significant correlation between AFP level and sex , BCLC staging was found. Conclusions: marker for HCC in cirrhotic patients with high sensitivity and malignancies including HCC 12 , where they have been shown to regulate numerous cell processes including proliferation, epithelial-mesenchymal transition (EMT), angiogenesis, metastasis and autophagy 13 . The nature of circulating RNA has widespread attention ncRNAs (lncRNAs) warrant consideration as potential markers for HCC based on findings that, they undergo cancer specific alterations when compared with protein-coding genes as well as their easy detectability as circulating lncRNAs in clinical samples of blood and urine of cancer patients . Most lncRNAs maintain unspecified roles in HCC, but a small number of lncRNAs have been shown to take part in initiation and progression of this malignancy 17 . The expression of lncRNA HULC (highly upregulated in liver cancer) is increased in HCC 18 . Long IncRNA HULC has been shown to play a role in promotion of HCC growth, metastasis, and development of drug resistance 18- 20 . Moreover, lncRNA DANCR has been shown to differentiate HCC patients from those without HCC more effectively when compared with AFP 21 . miR-150 inhibited HCC cell invasion by inhibiting ZEB1 and the matrix metalloproteinases MMP14 and MMP16. ZFAS1, a newly identified lncRNA, was shown to be dysregulated in ____________________
Development of the Regional Carbon Cycle Model in the Central Pacific Sector of the Southern Ocean

This study develops a new regional model of the Southern Ocean including an improved representation of the iron biogeochemistry and ecosystem component, nesting within a biogeochemical ocean state estimate, and benchmarking with a suite of observations. The regional domain focuses on the Udintsev Fracture Zone (UFZ) in the central Pacific sector of the Southern Ocean. The UFZ is characterized by the deep gap between the Pacific‐Antarctic Ridge and the East Pacific Rise, which is one of the key “choke points” of the Antarctic Circumpolar Current where major Southern Ocean fronts are constrained within close proximity to this topographic feature. It is also a region of elevated mesoscale eddy activity, especially downstream of the UFZ. The model reproduces observed partial pressure of carbon dioxide in the surface water (pCO2) remarkably well from seasonal to interannual timescales relative to prior studies (r = 0.89). The seasonality of pCO2 is difficult to simulate correctly because it is a small residual between the opposing influences of temperature and carbon. This model represents an intermittent double peak pattern of pCO2; one driven by the summertime high temperature and another from the wintertime high of dissolved inorganic carbon. The model also captures the spatial and temporal structure of the regional net primary production with respect to the satellite ocean color products (r = 0.57). The model is further validated by comparing it with biogeochemical float observations from the Southern Ocean Carbon and Climate Observations and Modeling project, revealing the model performance and challenges to accurately represent physical and biogeochemical properties in frontal regions.