Miracle-dz/UniFAR-FTUs huggingface dataset:
A network-based analysis for mining the risk pathways in glioblastoma

The most malignant type of brain tumour is glioblastoma multiforme (GBM). Patients with GBM often have a poor prognosis, as a result of incomplete or inaccurate diagnoses. Regulatory pathways have been demonstrated to serve important roles in complex human diseases. Therefore, deciphering these risk pathways may shed light on the molecular mechanisms underlying GBM progression. In the present study, differentially expressed genes and microRNAs (miRNAs) in a publicly available database were identified between normal and tumour samples. To determine the pathophysiology and molecular mechanisms underlying GBM, integrated network analysis was performed to mine GBM-specific risk pathways. Specifically, a GBM-specific regulatory network was constructed that integrated manually curated GBM-associated transcription and post-transcriptional data resources, including transcription factors and miRNAs. A total of 1,827 differentially expressed genes and 30 miRNAs were identified. The differentially expressed genes were significantly enriched in a number of immune response-associated functions. Based on the GBM-specific regulatory network, 15 risk regulatory pathways containing not only known regulators, but also potential novel targets that might be involved in tumourigenesis were identified. Network analysis provides a strategy for leveraging genomic data to identify potential oncogenic pathways and molecular targets for GBM.
Extension of the ADjoint Approach to a Laminar Navier-Stokes Solver

Extension of the ADjoint Approach to a Laminar Navier–Stokes Solver Cody Paige Masters of Applied Science Graduate Department of Institute for Aerospace Studies University of Toronto 2013 The use of adjoint methods is common in computational fluid dynamics to reduce the cost of the sensitivity analysis in an optimization cycle. The forward mode ADjoint is a combination of an adjoint sensitivity analysis method with a forward mode automatic differentiation (AD) and is a modification of the reverse mode ADjoint method proposed by Mader et al. . A colouring acceleration technique is presented to reduce the computational cost increase associated with forward mode AD. The forward mode AD facilitates the implementation of the laminar Navier–Stokes (NS) equations. The forward mode ADjoint method is applied to a three-dimensional computational fluid dynamics solver. The resulting Euler and viscous ADjoint sensitivities are compared to the reverse mode Euler ADjoint derivatives and a complex-step method to demonstrate the reduced computational cost and accuracy. Both comparisons demonstrate the benefits of the colouring method and the practicality of using a forward mode AD.
Developments in preclinical arterial spin labeling

Cerebral blood flow (CBF) characterizes the blood supply to brain tissue. This perfusion-related parameter contributes in diagnosis and therapeutic follow-up in many diseases. The least invasive technique to measure CBF is arterial spin labeling (ASL), where arterial water is used as tracer. The aim of this PhD project, conducted within a CIFRE agreement (Convention Industrielle de Formation par la REcherche), was to increase the performance and to facilitate the use of continuous and pseudo-continuous arterial spin labeling (CASL, pCASL) tools in preclinical studies. CBF quantification by means of ASL is one of the most challenging MRI modalities in terms of the workflow, since additional adjustments, acquisitions and post-processing steps are required. First, to render the workflow smoother for the user, a CASL package has been developed in collaboration with Bruker. This workflow allows easier relative and absolute CBF measurements, thanks to the integration of automated adjustments and reconstruction steps. In a second step, problems arising at high magnetic field were addressed. A strategy to optimize the pCASL labeling sequence in order to obtain robust results was developed and its robustness towards suboptimal shim conditions was demonstrated at 9.4 T in rats. The developed pCASL-package, consisting of three sequences, was shared with ten other institutes worldwide. Another issue encountered at high magnetic fields is heating due to RF power deposition, which was assessed locally in the brain and in the carotids, as well as globally, for the CASL and pCASL sequences and for two different transmit coil configurations. In a third step, time-encoded pCASL was developed in mice in collaboration with teams of the Leiden University Medical Center. This tool enables the simultaneous mapping of CBF and arterial transit time, a parameter that can reflect underlying pathologies such as increased vessel tortuosity or occlusion.
Marginal bone loss 1 year after implantation: a systematic review for fixed and removable restorations

Abstract This systematic review analyses the difference of the mean marginal bone loss (MBL) 1 year after implantation depending on the fixation of the restoration. 889 publications on controlled clinical trials were identified, and based on inclusion and exclusion criteria, 22 studies were selected. Related to fixed restorations, the lowest MBL was 0.05±0.67 mm and the highest 1.37±0.5 mm. The MBL for removable restorations ranged from 0.13±0.35 mm to 1.03±0.65 mm. Three studies analyzed the MBL around implants of overdentures in the lower jaw. The estimate for this restoration type was 0.476 mm (95% CI: −0.305 to 1.258). 19 randomized controlled studies dealt with restorations which were fixed to the implants. The estimate for the mean MBL was 0.459 mm (95% CI: 0.325–0.593). There was a decrease in 1-year implant survival with an increase of 1 mm MBL (−0.083%; 95% CI: −0.179 to 0.0123; p=0.083) in fixed restorations. The difference in MBL between fixed and removable restorations was 0.363 mm (95% CI: −0.319 to 1.044; p=0.279). This systematic review indicates that implants with fixed and with removable restorations lead to comparable MBL.
Electromagnetic Interference Filters

In this paper we discuss about the electromagnetic interference which is very well known field in today’s life. Electromagnetic interference also called as radio frequency interference. The EMI is a disturbance or unwanted signal that effect the electrical circuit due two electromagnetic radiation that comes from external source. EMI problems has been increasing in mobile electronic system, wireless communication system and also in computer network. For reduction of EMI there are different type of method like grounding and shielding, filtering and power supply method etc. In this paper I describe the EMI filtering method to reduce the effect of EMI including its design step. The type of EMI are also given in this paper. This paper also include the application of EMI filter that used to reduce the factor of EMI in several fields.
Ontology for pixel processing

Computer understanding is a challenge problem in Artificial Intelligence. A multi-agent system has been developed to tackle this problem. Among its modules is its knowledge base (vocabulary agents). This paper discusses the use of the Ontology Web Language (OWL) to represent the knowledge base. An example of applying OWL in sentence understanding is given. Followed by an evaluation of OWL.
Fushiming Capsule Attenuates Diabetic Rat Retina Damage via Antioxidation and Anti-Inflammation

Aims Diabetic retinopathy (DR) remains one of the leading causes of acquired blindness. Fushiming capsule (FSM), a compound traditional Chinese medicine, is clinically used for DR treatment in China. The present study was to investigate the effect of FSM on retinal alterations, inflammatory response, and oxidative stress triggered by diabetes. Main Methods Diabetic rat model was induced by 6-week high-fat and high-sugar diet combined with 35 mg/kg streptozotocin (STZ). 30 days after successful establishment of diabetic rat model, full field electroretinography (ffERG) and optical coherence tomography (OCT) were performed to detect retinal pathological alterations. Then, FSM was administered to diabetic rats at different dosages for 42-day treatment and diabetic rats treated with Calcium dobesilate (CaD) capsule served as the positive group. Retinal function and structure were observed, and retinal vascular endothelial growth factor-α (VEGF-α), glial fibrillary acidic (GFAP), and vascular cell adhesion protein-1 (VCAM-1) expressions were measured both on mRNA and protein levels, and a series of blood metabolic indicators were also assessed. Key Findings In DR rats, FSM (1.0 g/kg and 0.5 g/kg) treatment significantly restored retinal function (a higher amplitude of b-wave in dark-adaptation 3.0 and OPs2 wave) and prevented the decrease of retinal thickness including inner nuclear layer (INL), outer nuclear layer (ONL), and entire retina. Additionally, FSM dramatically decreased VEGF-α, GFAP, and VCAM-1 expressions in retinal tissues. Moreover, FSM notably improved serum antioxidative enzymes glutathione peroxidase, superoxide dismutase, and catalase activities, whereas it reduced serum advanced glycation end products, methane dicarboxylic aldehyde, nitric oxide, and total cholesterol and triglycerides levels. Significance FSM could ameliorate diabetic rat retina damage possibly via inhibiting inflammation and improving antioxidation.
Incorporating Content and Context in Recommender Systems

Recommender systems are a growing area of research that find practical applications in a variety of domains. Integrated library systems and location-based social networks can apply recommendation algorithms to assist their users in finding an item or location that suits their needs. With an ever-increasing variety of options to choose from, deciding on which book to read or movie to watch can become overwhelming. Recommender systems aid their users in the decision making process by providing a list of items likely to be relevant to the user's needs and interests. A persistent issue faced by recommender systems is a lack of data concerning the preferences of its users, known as the "cold-start" problem, which leads to poor recommendation quality, particularly for new users and items. To improve recommendation quality in the face of incomplete data, we propose several novel approaches for incorporating all available data into collaborative filtering algorithms. best merged final
Racial differences in experimental pain sensitivity and conditioned pain modulation: a study of Chinese and Indians

Background: Substantial literature has demonstrated racial differences in pain perception and endogenous pain modulation is proposed to be a mechanism for the racial differences. Although Indians in Singapore reported higher pain severity than Chinese, the only study on racial difference in experimental pain response in Singapore did not find any difference between the two racial groups. Purpose: The aim of this study was to investigate pain sensitivity and conditioned pain modulation in Chinese and Indians in Singapore. Patients and methods: Sixty age-and sex-matched (30 Chinese 50% female, 30 Indian, 50% female) healthy adults participated in this study. Pressure pain threshold, thermal pain threshold and cold pain tolerance were measured. Conditioned pain modulation, general self-efficacy and depression were also tested, in an attempt to assess endogenous pain inhibition and psychological presentation between the two groups. Results: No difference in pain thresholds was found between the two groups. Indians demonstrated less cold pain tolerance and less efficacious conditioned pain modulation than Chinese. Conditioned pain modulation was a mediator between race and cold pain tolerance. Conclusion: These findings of racial disparities in pain tolerance and endogenous pain inhibition could possibly contribute to the higher pain severity in Indians.
Fuzzy Clustering Based Bayesian Framework to Predict Mental Health Problems among Children

According to World Health Organization, 10-20% of children and adolescents all over the world are experiencing mental disorders. Correct diagnosis of mental disorders at an early stage improves the quality of life of children and avoids complicated problems. Various expert systems using artificial intelligence techniques have been developed for diagnosing mental disorders like Schizophrenia, Depression, Dementia, etc. This study focuses on predicting basic mental health problems of children, like Attention problem, Anxiety problem, Developmental delay, Attention Deficit Hyperactivity Disorder (ADHD), Pervasive Developmental Disorder(PDD), etc. using the machine learning techniques, Bayesian Networks and Fuzzy clustering. The focus of the article is on learning the Bayesian network structure using a novel Fuzzy Clustering Based Bayesian network structure learning framework. The performance of the proposed framework was compared with the other existing algorithms and the experimental results have shown that the proposed framework performs better than the earlier algorithms.
Relevance Feedback For Information Retrival Based on User Query Using SIFT Algorithm

: In old days, people have turned out to be conscious about the outcomes of documenting and discovering information. With the arrival of computers, it became possible to store tremendous measure of information; and finding the valuable information from images collections which is turning into a need. Out of this need in the 1950s, the field of Information Retrieval (IR) was conceived. The field of information retrieval has developed extensively finished the most recent forty years. A few IR systems are utilized on a regular by a wide assortment of users. Information retrieval turns into an imperative research region in the field of software engineering. Information retrieval (IR) is generally concerned about the looking and recovering of relevant similar image information from database. In this paper, we propose a novel mechanism in combination of SIFT and Relevance Feedback algorithm for looking of similar image. The user queries based of image and system produces output of similar images with relevance feedback mechanism for development of retrieval.
Teknologi Komunikasi : Perspektif ilmu Komunikasi

Buku ini membahas hakikat teknologi komunikasi,perkembangan teknologi komunikasi,implementasi teknologi komunikasi,kedudukan komputer sebagai pembentuk media baru,pengaruh kemajuan teknologi komunikasi terhadap suarat kabar,pengaruh kemajuan teknologi komunikasi terhadapa televisi,konsekuensi sosial teknologi komunikasi,konsekuensi kultural teknologi komunikasi,informasi superhighway,komunitas virtual,chatting,agenda penelitian teknologi komunikasi.
SKL algorithm based fabric image matching and retrieval

Intelligent computer image processing technology provides convenience and possibility for designers to carry out designs. Shape analysis can be achieved by extracting SURF feature. However, high dimension of SURF feature causes to lower matching speed. To solve this problem, this paper proposed a fast fabric image matching algorithm based on SURF K-means and LSH algorithm. By constructing the bag of visual words on K-Means algorithm, and forming feature histogram of each image, the dimension of SURF feature is reduced at the first step. Then with the help of LSH algorithm, the features are encoded and the dimension is further reduced. In addition, the indexes of each image and each class of image are created, and the number of matching images is decreased by LSH hash bucket. Experiments on fabric image database show that this algorithm can speed up the matching and retrieval process, the result can satisfy the requirement of dress designers with accuracy and speed.
Threatened preterm labour : a prospective cohort study for the development of a clinical risk assessment tool and a qualitative exploration of women's experiences of risk assessment and management

2 LIST OF TABLES . 7 LIST OF FIGURES . 11 LIST OF ABBREVIATIONS . 13 PAPERS AND ABSTRACTS RELATING TO PRETERM BIRTH PUBLISHED DURING THE COURSE OF THIS PHD THESIS . 14 ACKNOWLEDGEMENTS . 17 1. BACKGROUND. 18 1.1. WHAT IS PRETERM BIRTH AND THREATENED PRETERM LABOUR? 18 1.2. WHAT ARE THE CAUSES OF THREATENED PRETERM LABOUR? 19 1.3. WHO IS AT RISK OF THREATENED PRETERM LABOUR? 20 1.4. CURRENT METHODS OF TPTL ASSESSMENT . 22 1.4. 1. TRANSVAGINAL ULTRASOUND SCAN MEASUREMENT OF CERVICAL LENGTH . 24 1.4. 2. FETAL FIBRONECTIN . 25 1.4. 3. OTHER BIOMARKERS . 27 1.4. 4. COMBINING BIOMARKERS . 28 1.5. INTERVENTIONS TO REDUCE RISKS ASSOCIATED WITH TPTL . 28 1.6. CHALLENGES IN PROVIDING APPROPRIATE CARE IN TPTL . 32 1.7. RISK ASSESSMENT IN MATERNITY CARE . 33 1.7. 1. UNCERTAINTY IN RISK ASSESSMENT . 34 1.7. 2. DECISION SUPPORT TOOLS . 37 1.7. 3. IMPROVING THE PRESENTATION OF RISK INFORMATION . 38 1.7. 4. MOBILE TECHNOLOGY IN HEALTHCARE . 41 1.8. RELATIONSHIP OF THIS PHD PROJECT WITH THE QUIPP APP. 42 1.8. 1. CREATION OF THE PRETERM BIRTH RISK ASSESSMENT TOOL . 43 1.8. 2. FIRST VERSION OF THE RISK ASSESSMENT TOOL AS AN IPHONE APP. 44 1.8. 3. DEVELOPMENTS OCCURRING DURING PHD PROJECT . 44 1.9. SUMMARY AND JUSTIFICATION FOR THESIS . 45 2. LITERATURE REVIEW 1: MOBILE APPS FOR CLINICAL DECISION SUPPORT IN PREGNANCY . 48 2.
Data Warehouse Algorithm Study with Collaborative Services Grid Portal Architecture

Collaborative services grid portal architecture is presented in this paper. Focused on the issue of establishing data warehouse in data mining study, the study also considered the current situation of researches into dynamic plan recognition. This paper aims to enhance the performance of PSO in complex optimization problems and proposes an improved PSO variant by incorporating a novel mutation operator. The results obtained extend and improve the corresponding theorem for independent identically distributed random variables sequence.
Long-Term Outcomes and Factors Associated with Mortality in Patients with Moderate to Severe Pulmonary Hypertension in Kenya

Background: Pulmonary hypertension is poorly studied in Africa. The long-term survival rates and prognostic factors associated with mortality in patients with moderate to severe pulmonary hypertension (PH) in Africa are not well described. Objectives: To determine the causes of moderate to severe PH in patients seen in contemporary hospital settings, determine the patients’ one-year survival and the factors associated with mortality following standard care. Methods: A retrospective review of patients diagnosed with moderate to severe PH at Aga Khan University Hospital (AKUHN) from August 2014 to July 2017 was carried out. Clinical and outcome data were collected from medical records and the hospital mortality database. Telephone interviews were conducted for patients who died outside the hospital. Survival analysis was done using Kaplan-Meier, and log-rank tests were used to assess differences between subgroups. Cox regression modelling with multivariable adjustment was used to identify factors associated with all-cause mortality. Results: A total of 659 patients with moderate to severe PH were enrolled. Median follow-up time was 626 days. The survival rates of the patients at 1 and 2 years were 73.8% and 65.9%, respectively. The following variables were significantly associated with mortality: diabetes mellitus [adjusted HR 1.52, 95% CI (1.14–2.01)], WHO functional class III/IV [adjusted HR 3.49, 95% CI (2.46–4.95)], atrial fibrillation [adjusted HR 1.53, 95% CI (1.08–2.17)], severe PH [adjusted HR 1.72, 95% CI (1.30–2.27)], right ventricular dysfunction [adjusted HR 2.42, 95% CI (1.76–3.32)] and left ventricular dysfunction [adjusted HR 1.91, 95% CI (1.36–2.69)]. Obesity [adjusted HR 0.68, 95% CI (0.50–0.93)] was associated with improved survival. Conclusion: Pulmonary hypertension is associated with poor long-term outcomes in African patients. Identification of prognostic factors associated with high-risk patients will assist in patient management and potentially improved outcomes.
Improving discourse structure identification

Rhetorical Structure Theory (Mann et al. 1988), a popular approach for analyzing discourse coherence, suggests that coherent text can be placed into a hierarchical organization of clauses. Identification of a text’s rhetorical structure through automatic discourse analysis is a crucial element for many of today’s Natural Language Processing tasks, but no sufficient tool is available. The current state-of -the-art discourse parser, SPADE (Soricut et al. 2003), is limited to parsing discourse within a single sentence. HILDA (Hernault et al. 2010) extends the parsing abilities of SPADE to the document level, but with a decrease in performance. This study achieved document-level discourse parsing without sacrificing performance. Provided text was already segmented into elementary discourse units, the task of discourse parsing was separated into three steps: structuring, nuclearity labeling, and relation labeling. An algorithm was developed for classifying relation existence, nuclearity, and relation label that improved upon previous methods. New features were explored for all three steps to maintain state-of-the-art performance when parsing at the document-level.
The Role of Index and Ring Fingers in Gender Identification and Height Estimation

Background: It is a challenge in forensic medicine to identify deceased bodies when body dismembered from remaining body parts, such as hands, arms, and feet. We aimed to determine gender and the correlation between stature, and index and ring fingers in an Iranian population. Methods: In this cross-sectional study, 200 Iranian students aged between 18 and 25 years were included (2016-2017). The length of the nondominant index and ring fingers were measured from proximal crease to the tip. The exclusion criteria were a history of heavy physical work by hand, hand vocational sports, anatomical musculoskeletal deformities, and chronic internal diseases (diabetes, thyroid disorders, renal failure, etc.). The obtained data were analyzed using SPSS. t-test, Pearson’s correlation coefficient, and correlation and regression models were used to analyze the achieved data. Results: The mean height was 179 cm in males and 164 cm in females. The mean index and ring fingers lengths were 73 mm and 74 mm in males, and 68 mm and 68 mm in females, respectively. The mean sum of index and ring fingers lengths were 147 mm in males and 136 mm in females. Height, index and ring fingers length, and the sum of them significantly differed between genders (P<0.0001). The accuracy of gender determination was 92%, 71%, 73% and 74.5% in terms of stature, index finger length, ring finger length, and the sum of index and ring fingers length, respectively. The correlation between height and index finger length, as well as the height and ring finger length, were significant in males, females, and total cases (P<0.0001). Conclusion: Based on this study, index and ring fingers lengths can be used to predict height and determine gender.