Miracle-dz/UniFAR-FTUs huggingface dataset:
Integration of multiple genome-wide datasets and analysis of functional relationships among genes in the human genome

Genome studies are, by definition, very data intensive. Various high-throughput data acquisition techniques provide us with a multitude of large-scale datasets, such as whole genome sequences, gene expression, protein-protein interactions, functional pathways, location of transcription factor binding sites, etc. These datasets are not only large but also highly heterogeneous. Making biologically meaningful inferences requires a simultaneous computational analysis of these diverse genome-wide datasets. Such analyses, in turn, require linking heterogeneous data sets (data integration) and representing them in a form suitable for computational studies (data representation). These tasks are addressed by bioinformatics, a highly interdisciplinary field of science that, among its other goals, aims to integrate diverse and mutually complementary sources of 'omic' data (e.g., genomic, proteomic, etc.) into a single coherent systems biology framework in order to provide functional inference, reveal essential features of gene and protein interaction networks, and ultimately to model these networks. The results of such integrative studies have several key advantages (Gerstein et al. using multiple sources of information may allow us to reduce systematic noise inherently present in all types of experimental data. Integrative approaches are also important for the studies of complex diseases, such as cancer (Wachi et al., 2005), since predicting the status of disease cases based on multiple biomarkers represents a starting point towards translating genomics research into clinical medicine. The integrative approach can also be used for predicting properties of one type of data based on other types of 'omic' (genomic, proteomic, etc) data (Greenbaum et al. Such a promise of the integrative approach is based on the general assumption that, within a given genome, there exist interrelationships between heterogeneous types of genomic data (Grigoriev, 2001). Since even seemingly different data types describe various functional aspects of the same genome (e.g., the human genome), it seems reasonable to anticipate the existence of non-random associations among them. However, the existence of such associations needs to be verified and their strength needs to be quantified for each particular combination of data types (Vidal, 2001). In this chapter, we use the term 'association' instead of 'correlation' in order not to confuse it with correlation between expression profiles. A number of studies have demonstrated the existence of non-random pairwise associations between different types of large-scale 'omic' datasets. 'Non-random association' or just 'association' in this context means that genes that are functionally related with respect to one data type also tend to be related with …
Taxi route input - specification or selection?

When providing the pilot with a means to enter a taxi route into an onboard system, readback of the route as displayed by the system allows input errors to be caught. The resulting increase in integrity can only be realized, if the delay between receiving the instructions from ground control and the readback is sufficiently small. Earlier research has explored a taxi route input concept using speech recognition and a concept based on a sequential selection of the successive taxiways and runways. Both concepts were based on pilots specifying all segments that are part of the route. Although rather efficient, the time required by both concepts for route entry limited the possibility to perform the readback from a display of the route. A translation of instructions was necessitated by the fact that the order of the taxiway identifiers in the instruction sometimes varies and that redundant identifiers are often omitted. The input concept described in the current paper does not require the pilot to sequentially enter the full route. Instead, it uses information on common (often occurring) routes combined with input from the pilot to perform an inference of the desired route. This hybrid input combines a specification approach with a selection approach, allowing the pilot to enter a complete route by selecting and/or specifying only a few of its segments. An evaluation of the concept using a simulation of Amsterdam Airport Schiphol, combined with actual ground control instructions, showed that it outperformed the earlier two implementations in terms of efficiency and flexibility.
Social Welfare Centers Protect Outpatients with Mood Disorders from Risk of Hospital Admission

Background South Korea faces difficulties in the management of mental disorders, and those difficulties are expected to gradually worsen. Therefore, we analyzed the relationship between social welfare centers and hospital admission after outpatient treatment for mood disorders. Methods We used data from the National Health Insurance Service National Sample Cohort 2002–2013, which included all medical claims filed for the 50,160 patients who were newly diagnosed with a mood disorder among the 1,025,340 individuals in a nationally representative sample. We performed a logistic regression analysis using generalized estimating equation (GEE) models to examine the relationship between social welfare centers and hospital admission after outpatient treatment for mood disorders (ICD-10: F3). Results There was a 3.9% admission rate among a total of 99,533 person-years. Outpatients who lived in regions with more social welfare centers were less likely to be admitted to a hospital (per increase of five social welfare centers per 100,000 people; OR: 0.958; 95% CI: 0.919–0.999). Social welfare centers had an especially strong protective effect on patients with relatively mild mood disorders and those who were vulnerable to medical expenditures. Conclusions Considering the protective role of social welfare centers in managing patients with mood disorders, health-policy makers need to consider strategies for activating mental healthcare.
myc function and regulation.

PERSPECTIVES . 810 myc BELO NG S TO A SMALL FAM ILY OF H IGHLY RELAT ED PROTO -O NCOGENES . 811 General Structure-Function Properties of c-myc Polypeptides . 813 Light at the End of the myc Tunnel: A DNA-Binding Site and an Elusive Protein Partner . 815 EFFECT S O N A ND BY myc IN CELL -CYCL E PROG RESSIO N A ND PROLIFERA TIO N. 817 EFFECT S O N A ND BY myc IN D IFFERENT IATO N. 821 TUMO RIG ENESIS . 824 A ROL E FO R c-myc IN D NA REPL ICAT IO N: FA CT OR FA NTA SY ? 827 REG ULAT IO N O F myc A ND BY myc . 828 myc Autoregulation 828 Regulation of Other Cellular Genes by myc . 830 Regulation of myc Transcriptional Initiation 831 Regulation of myc Transcriptional Elongation 838 Other Oncoproteins Contribute co myc Transcriptional Regulation . 841 Significance of c-myc Antisense Transcription 842 Posttranscriptional Control of c-myc Expression 843 MODES O F myc ACTIVATIO N IN MALIG NA NC IES. 845 Gene Amplification 845 Proviral Insertion 845 Chromosomal Translocations 846 myc INTERACT IO NS W ITH T UMO R SUPPRESSO RS . 849 RETRO SPECT IV E. 850
CMPSCI 687 : Reinforcement Learning Fall 2020 Class Syllabus , Notes , and Assignments

1 Syllabus 3 1.1 Website . 3 1.2 Class . 3 1.3 Book . 3 1.4 Teaching Assistants . 3 1.5 Office Hours . 3 1.6 Grading . 4 1.7 Pass/Fail . 4 1.8 Late Policy . 4 1.9 Disability Services . 4 1.10 Cheating . 5
Focal segmental glomerulosclerosis: current status of the problem

One of the most prognostically unfavorable variants of glomerulopathy is focal segmental glomerulosclerosis (FSHC), which is detected by nephrobiopsy in 5-20% of patients with nephrotic syndrome (NS) and in 15% of adult patients with chronic glomerulonephritis. FSGS recurs in a transplanted kidney in 30-50% of patients. Among adult patients with FSH, men predominate. A poor prognosis of FSHC is explained by the heterogeneity of the disease and is exacerbated by a poor response to treatment. According to current data, FSGS is characterized by sclerosis of the mesangial matrix, hyalinosis, damage to capillaries, an increase in foam cells and their adhesion between the glomerular bundle and the Bowman capsule. In 2004, the following histological variants of FSGS were proposed: apical, perichillary, collaborating, cellular and classical. Each histological variant of FSGS differs in etiology, response to treatment, and prognosis. The clinical diagnosis of primary FSHC should be based on the exclusion of secondary causes of the disease. Focal sclerotic changes in the glomeruli can be caused by various factors and occur in various conditions, including the existing kidney pathology. According to international recommendations for the treatment of FSHS, one should focus on the amount of daily proteinuria. For patients with FSHS without pronounced proteinuria, the use of angiotensin converting enzyme inhibitors (ACE inhibitors) or angiotensin II receptor blockers (ARBs) is recommended. In FSGS and NS, immunosuppressive therapy is used along with ACE inhibitors or ARB II. For adult patients, glucocorticoids (HA) are prescribed daily in a single dose at a dose of 1 mg / kg per day, the maximum dose is 80 mg with a daily intake and 120 mg with an alternating regimen. Resistance to HA is detected in the absence of effect after 16 weeks. In the presence of contraindications or intolerance to HA, calcineurin inhibitors are used. The recommended initial dose of cyclosporine is 2 mg / kg / day, taken twice a day with a gradual increase to 3.5-4 mg / kg / day. The duration of therapy with satisfactory tolerance to cyclosporine is more than six months. After achieving complete remission, the dose of cyclosporin is gradually reduced by 0.5 mg / kg / day to the minimum effective dose (1.5-2 mg / kg / day) and such maintenance therapy is carried out for 1-2 years. A treatment option is possible using lower doses of HA and cyclosporine, or a combination of mycophenolate mofetil with a high dose of dexamethasone.
Genetic Variability, Correlation and Path analysis for Yield and its Components in Cowpea [Vigna unguiculata (L.)]

Title of the thesis : “Genetic variability, correlation and path analysis for yield and its components in cowpea [Vigna unguiculata (L.)]” Student Name (full) : Monika Mishra Address : D/O Shri L. N. Mishra Madhuvan colony, lalitpur road , Distt. – Tikamgarh (M.P.) PIN-472001 Advisor Name : Dr. S.K. Sengupta Address (Office) : Senior Scientist : Department of Horticulture, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur 482 004 (M.P.) Degree awarded : Master of Science (Ag.) Horticulture (Vegetable Science) Year of award of degree : 2013 Major subject : Vegetable Science Total number of pages in the thesis : 93 Number of words in the abstract : 495 Signature Signature Signature (S. K. Sengupta) (Professor and head) (Monika Mishra)
Oil-Based Food Extracts from Distillers Dried Grains

iii ACKNOWLEDGEMENTS . iv LIST OF TABLES . vii LIST OF FIGURES . viii LIST OF ABBREVIATIONS . x LIST OF SYMBOLS . xiii LIST OF APPENDIX TABLES . xiv LIST OF APPENDIX FIGURES. xv GENERAL INTRODUCTION . 1 1. LITERATURE REVIEW . 4 1.1. Ethanol Production . 4 1.2. Oxidation . 9 1.3. Supercritical Fluid Extraction . 30 1.4. Conclusion . 32 2. PROBLEM STATEMENT . 34 2.1. Summary of Literature Review . 34 2.2. Objectives . 35 2.3. Hypotheses . 36 3. PAPER 1: ANTIOXIDANT ACTIVITY OF CORN AND DRY DISTILLERS’ GRAINS IN CHIPS . 37 3.1. Abstract . 37 3.2. Introduction . 37 3.3. Materials and Methods . 40 3.4. Results . 46
Research and Google Trend for Human Neuropsychiatric Disorders and Machine Learning: A Brief Report.

OBJECTIVES The key characteristics of this study are to highlight the research trend pertaining to the use of machine learning in the diagnosis and management of neuropsychiatric conditions. METHODS The last ten years (2011-2020) Scopus data related to the use of machine learning techniques in the diagnosis and management of neuropsychiatric disorders in human beings have been collected and examined using VOSviewer. The global internet trend for neuropsychiatric disorders and machine learning techniques during the observation period (1-Jan-2010 to 30-Nov-2020) has been also explored using Google Trend. RESULTS The mean values of the Google trend for neuropsychiatric disorders and machine learning are 52.09 and 40.00 respectively. Moreover, the correlation coefficient for the Google trend of USA, UK and the world found to be significantly (0.98) higher. Likewise, the mean values of web trend for USA, UK, and China are 42.17, 38.55, and 30.90. Additionally, the Google trend for the term 'machine learning' in the observation period (1-Jan-2010 to 30-Nov-2020) has been also explored. CONCLUSION It is observed that the researchers from the US (32.4%), UK (9.2%) and China (7.4%) are the prime contributors as far as mining and management of the neuropsychiatric disorders using machine learning is concerned. Moreover, the study revealed that neuropsychiatric disorders (seizure, eating, mood, sleep, conduct, and intellectual) need more attention as far as machine learning is concerned.
Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Direction-Based Surrounder Queries for Mobile Recommendations Direction-Based Surrounder Queries for Mobile Recommendations

Location-based recommendation services recommend objects to the user based on the user’s preferences. In general, the nearest objects are good choices considering their spatial proximity to the user. How-ever, not only the distance of an object to the user but also their directional relationship are important. Moti-vated by these, we propose a new spatial query, namely a direction-based surrounder ( DBS ) query, which retrieves the nearest objects around the user from diﬀerent directions. We deﬁne the DBS query not only in a two-dimensional Euclidean space E but also in a road network R . In the Euclidean space E , we consider two objects a and b are directional close w.r. t. a query point q iﬀ the included angle \ aqb is bounded by a threshold speciﬁed by the user at the query time. In a road network R , we consider two objects a and b are directional close iﬀ their shortest paths to q overlap. We say object a dominates object b iﬀ they are directional close and meanwhile a is closer to q than b . All the objects that are not dominated by others based on the above dominance relationship constitute direction-based surrounders ( DBSs ). In this paper, we formalize the DBS query, study it in both the snapshot and continuous settings, and conduct extensive experiments with both real and synthetic datasets to evaluate our proposed algorithms. The experimental results demonstrate that the proposed algorithms can answer DBS queries eﬃciently.
34 Enrichment and Isolation of Hydrocarbon Degraders

2 Experimental Approach . 3779 2.1 Procedures . 3779 2.1. 1 Enrichment of Marine HDB . 3779 2.1. 2 Isolation of HDB by Plate Purification . 3781 2.1. 3 Isolate Characterization and Preservation . 3782 2.2 Solutions and Materials . 3782 2.2.1 Media . 3782 2.2.2 Stock Solutions . 3783 2.3 Time Considerations . 3783 2.4 Troubleshooting . 3784
NLOS Identification- and Correction-Focused Fusion of UWB and LiDAR-SLAM Based on Factor Graph Optimization for High-Precision Positioning with Reduced Drift

In this study, we propose a tightly coupled integrated method of ultrawideband (UWB) and light detection and ranging (LiDAR)-based simultaneous localization and mapping (SLAM) for global navigation satellite system (GNSS)-denied environments to achieve high-precision positioning with reduced drift. Specifically, we focus on non-line-of-sight (NLOS) identification and correction. In previous work, we utilized laser point cloud maps to identify and exclude NLOS measurements in real time to attenuate their severe effects on the integrated system. However, the complete exclusion of NLOS measurements will likely lead to deterioration in the dilution of precision (DOP) for the remaining line-of-sight (LOS) anchors, counterproductively introducing large positioning errors into the integrated system. Therefore, this study considers the ranging accuracy and geometric distribution of UWB anchors and innovatively proposes an NLOS correction method using a grey prediction model. For a poor line-of-sight (LOS) anchor geometric distribution, the grey prediction model is used to fill in the gaps by predicting the NLOS measurements based on historical measurements. Including the corrected measurements effectively improves the original poor geometric configuration, improving the system positioning accuracy. Since conventional filtering-based fusion methods are exceedingly sensitive to measurement outliers, we use state-of-the-art factor graph optimization (FGO) to tightly integrate the UWB measurements (LOS and corrected measurements) with LiDAR-SLAM. The temporal correlation between measurements and the redundant system measurements effectively enhance the robustness of the integrated system. Experimental results show that the tightly coupled integrated method combining NLOS correction and FGO improves the positioning accuracy under a poor geometric distribution, increases the system availability, and achieves better positioning than filtering-based fusion methods with a root-mean-square error of 0.086 m in the plane direction, achieving subdecimeter indoor high-precision positioning.
Meta-Analytic Evidence that Attachment Insecurity is Associated with Less Frequent Experiences of Discrete Positive Emotions.

OBJECTIVE Individual differences in attachment insecurity can have important implications for experiences of positive emotions. However, existing research on the link between attachment insecurity and positive emotional experiences has typically used a composite measure of positive emotions, overlooking the potential importance of differentiating discrete emotions. METHOD We conducted a meta-analysis of ten cross-sectional samples (N = 3,215), examining how attachment insecurity is associated with self-reported frequency of experiencing positive emotions, with a distinction made between more social (i.e., love and gratitude) and less social (i.e., peace and awe or curiosity) positive emotions. RESULTS High (vs. low) levels of both attachment anxiety and avoidance were associated with less frequent experience of positive emotions regardless of their social relevance. When analyzing each emotion separately, we found that attachment anxiety showed negative relations to all emotions except gratitude. Attachment avoidance was negatively associated with all emotions, and the link was even stronger with love (vs. peace, awe, or curiosity). Additional analyses of daily diary data revealed that attachment anxiety and avoidance were also negatively associated with daily experiences of positive emotions, regardless of social relevance. CONCLUSION Our results underscore the need to further investigate the mechanisms underlying insecure individuals' blunted positive emotional experiences.
Efficient edge-directed deblocking algorithm for KOMPSAT-2 satellite images

Abstract In this paper, we present a deblocking algorithm that removes grid and staircase artefacts, which result from the compression of images. The KORea Multi-Purpose SATellite-2 images are efficiently compressed using an algorithm that assigns quantisation coefficients, by rows, according to local region complexity, in such a way that more complicated regions are more compressed. However, this approach is problematic in that it produces blocking artefacts in those relatively less complicated areas within the same row as the complicated regions. Removing these artefacts with a general deblocking algorithm can, undesirably, blur the complicated regions as well as the artefacts; additionally, the general filter is poor at preserving curved edges. Therefore, the algorithm proposed herein presents an adaptive filtering scheme for removing blocking artefacts while preserving image details, including curved edges, using a content analysis. Particularly, edge adaptive filtering has been introduced to remove staircase artefacts around the big image edges. Experimental analyses revealed that the proposed method outperforms several state-of-the-art approaches in terms of subjective or objective image quality, and computational speed.
Visual Localization using Imperfect 3D Models from the Internet

Visual localization is a core component in many applications, including augmented reality (AR). Localization algorithms compute the camera pose of a query image w.r. t. a scene representation, which is typically built from images. This often requires capturing and storing large amounts of data, followed by running Structure-from-Motion (SfM) algorithms. An interesting, and underexplored, source of data for building scene representations are 3D models that are readily available on the Internet, e.g., hand-drawn CAD models, 3D models generated from building footprints, or from aerial images. These models allow to perform visual localization right away without the time-consuming scene capturing and model building steps. Yet, it also comes with challenges as the available 3D models are often imperfect reflections of reality. E.g., the models might only have generic or no textures at all, might only provide a simple approximation of the scene geometry, or might be stretched. This paper studies how the imperfections of these models affect localization accuracy. We create a new benchmark for this task and provide a detailed experimental evaluation based on multiple 3D models per scene. We show that 3D models from the Internet show promise as an easy-to-obtain scene representation. At the same time, there is significant room for improvement for visual localization pipelines. To foster research on this interesting and challenging task, we release our benchmark at v-pnk.github. io/cadloc.
Evaginatus : Literature Review , Pathophysiology , and omprehensive Treatment Regimen arc

o bstract ens evaginatus (DE) is an uncommon dental anomaly, aving been well documented since 1925. It occurs rimarily in people of Asian descent and is exhibited by rotrusion of a tubercle from occlusal surfaces of poserior teeth, and lingual surfaces of anterior teeth. ubercles have an enamel layer covering a dentin core ontaining a thin extension of pulp. These cusp-like rotrusions are susceptible to pulp exposure from wear r fracture because of malocclusion, leading to pulpal omplications soon after eruption. Endodontic intervenion of permanent teeth with immature roots is unredic for inflamed pulps, and leaves a tooth with ompromised root structure when treating necrotic ulps. Efforts to ensure root maturity have involved reventive or prophylactic treatment with varying derees of pulp invasiveness. Treatment options have hanged as technology and materials have improved. he goal is to review the literature and pathophysiology egarding DE, and present a new comprehensive treatent regimen, including a truly prophylactic approach ithout pulpal invasiveness. A case study of a mestizo ith DE is documented. Treatment of four affected andibular premolars exhibiting three distinct diagnosic categories will illustrate various aspects of the treatent protocol presented, and tooth morphology of the nomaly is shown to aid clinical recognition. (J Endod 006;32:1–9)