Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Using High Resolution Computed Tomography in diagnosis of the Diffuse Parenchymal Lung Diseases

Original Research Article Introduction: High-resolution CT (HRCT) of the chest refers to a CT technique in which thin-slice chest images are obtained and post-processed in a high-spatial-frequency reconstruction algorithm. This technique obtains images with exquisite lung detail, which are ideal for the assessment of diffuse interstitial lung disease. The present study was undertaken to detectHRCT findings in diffuse parenchymal lung diseases and identifying the pattern, extent and distribution of the disease. Methodology: The present study comprised of 241 patients (143 males and 98 females) who underwent HRCT Chest with suspected diffuse parenchymal lung diseasesduring the period from June 2017 to September 2019 in CT departments of Alamal Diagnostic Center, Military hospital and Alyaa hospital-Omdurman. Results: The most commonly identified diffuseparenchymal lung disease was Nonspecific Interstitial Pneumonia (68) followed by Idiopathic pulmonary fibrosis (IPF)(65) and chronic bronchiectasis (53) of the total cases. Conclusion: HRCT is a simple non-invasive method for detecting diffuse parenchymal lung diseases. HRCT is of great value in patients with normal or questionable chest radiograph and with symptoms of diffuse parenchymal lung diseases. It has been concluded that High-resolution CT (HRCT) is the best modality for the evaluation of patients with diffuse pulmonary diseases because it provides detailed visualization of the lung parenchyma and identifying the pattern and distribution of disease helps in formulating a differential diagnosis, and detecting the diffuse parenchymal lung diseases in the early course of disease.
Structural Equation Model (SEM) on Causative Factors of Deviancy in Relation with Self Esteem and Academic Achievement of Deviant Students

This study was aimed to analyse the causative factors of deviancy in relation self esteem and academic achievement of deviant students. Purposive random sampling method was used to study the deviant student’s behavioural factor. The sample was drawn from the population of 7546 students. Data were collected from 13 schools located in different parts of kanchipuram, tamilnadu. In order to evaluate the association between the variables used in the model, structural equation modeling (SEM) was used for data analysis. The findings of the research showed that, absolute fit indices fits the sample data and reveals that the proposed model has the acceptable fit, by way of satisfying the recommended values.
Global Increase in the Consumption of Lignocellulosic Biomass as Energy Source: Necessity for Sustained Optimisation of Agroforestry Technologies

Wood and other nonwood lignocellulosic materials are renewable natural resources useful for different applications based on end users' preference. Their use for generating energy, an application that has not been outmoded, has been noted to be increasing worldwide owing to multifarious reasons. Therefore, there has been the need for studies with results targeted at sustainable ways by which they can be sourced for this and other purposes, as this source of energy is currently still relevant particularly in the developing world. Agroforestry techniques that are based on realisable concepts acceptable to stakeholders have been suggested for this purpose. These age-long techniques are adopted for different purposes with incorporated components partly dependent on native intelligence, indigenous/traditional knowledge, and/or users' perspectives and expected outputs. Since wood and other lignocellulosic biomass can be obtained using these production techniques, optimising their potentials in this regard will be beneficial. This paper was therefore focused on the increasing trend in global wood fuel consumption and studies aimed at contributing to improvement of agroforestry systems as sustainable sources of wood fuel, a renewable source of energy.
A framework for the creation of a unified electronic medical record using biometrics, data fusion and belief theory

The technology exists for the migration of healthcare data from its archaic paper-based system to an electronic one and once in digital form, to be transported anywhere in the world in a matter of seconds. The advent of universally accessible healthcare data benefits all participants, but one of the outstanding problems that must be addressed is how to uniquely identify and link a patient to his or her specific medical data. To date, a few solutions to this problem have been proposed that are limited in their effectiveness. We propose the use of biometric technology within our FIRD framework in solving the unique association of a patient to his or her medical data distinctively. This would allow a patient to have real time access to all of his or her recorded healthcare information electronically whenever it is necessary, securely with minimal effort, greater effectiveness, and ease.
DECISION SCIENCES INSTITUTE

Two overlooked points for the suggested AR(1) model in the research of Brock, Lakonishok, and LeBaron (1992) are discussed in this paper. First, Durbin’s h statistic shows that the error terms from the AR(1) process for the returns of DJIA are correlated. Secondly, the coefficient of determination is low at 0.2% for the returns from DJIA. In other words, the model suggested can only explain 0.2% of the variation of DJIA. Therefore, the AR(1) model is not an ideal representative for the returns from the price index. In fact, our study shows that the DJIA price index itself has a random walk like process with uncorrelated error terms but not necessarily i.i. d. This study concludes the market is not predictable.
Study of Classification Methods for EEG Signals During Motor-Imagery

We propose novel methods for finding a frequency filter for classification of EEG in motor imagery based brain computer interface (MI-BCI). For MIBCI, spatial weights for electrodes called common spatial pattern (CSP) are known effective in classification. To find spatial weights associated with motor imagery, EEG signals should be bandpass-filtered. However, the best filter depends on subjects and trials. This thesis solves the problem to find parameters of the filter, which is parameterized in the frequency or time domain. Finding the optimal parameters is formulated as a constraint minimum variance problem as a natural extension of CSP. Then, the spatial weight and the filter are sought by alternately solving the generalized eigenvalue problem, and the cost function monotonically decreases by the alternative optimization. In our experiment of classification for MI-BCI, the proposed methods outperform conventional methods in the classification accuracy for most of subjects.
REDUCTION OF ENDOTOXIN IN POLYSALC ACDS

5,039,610 5,169,535 5,589,591 5,846.951 5,917,022 6,617.443 A 8, 1991 A A A A B2 6,699,386 B2 B2 B1 B1 B2 B2 12, 1992 12, 1996 12, 1998 6, 1999 9, 2003 3, 2004 3, 2004 8, 2004 5/2005 9, 2005 9, 2006 Rienstra et al. Adachi et al. Lewis Gregoriadis Davies Hendriks et al. Todokoro et al. Pyo et al. Bell et al. Hasler et al. Sundberg et al. Colpan et al. 6,713,611 6,774,102 6,891,037 6,942,802 7,109,322
ENDOTHELIAL CELL PROTEOME CHANGED BY CONTACT WITH SURFACES OF BIOMATERIALS

Biomaterials used for medical implants or instruments production can cause numerous undesirable effects in human organism. They may affect cells being in a direct contact with them and can cause changes in genes expression, and as a consequence, also in protein profile of these cells. The aim of the present work was to examine an effect of medical steel 316L, poly-para-xylylene (Parylene) and nanocrystalline diamond (NCD) surfaces on protein expression in human endothelial cell line EA.hy 926. Cells were grown in Dulbecco’s MEM (DMEM) supplemented with antibiotics (penicillin and streptomycin), glucose, 10% heat inactivated fetal bovine serum and HAT-supplement. After 48h of incubation cells were washed with PBS and treated with lysis buffer (7M urea, 2M thiourea, 4% CHAPS, 2 % IPG buffer pH 4-7, 1% DTT). Proteins were purified from cell lysates with 2-D CleanUp Kit, and concentration was assessed with 2D Quant Kit. After overnight rehydration of IEF strips (pH 4-7, 11cm), in the presence of purified proteins, isoelectric focusing procedure was performed until References [1]. Walkowiak B, Kaminska M, Okroj W, Tanski W, Sobol A, Zbrog Z. Przybyszewska-Doros I, “Blood platelet proteome is changed in uremic patients” Platelets, 2007; 18(5): 386-388. 40kVh. Then, stripes were equilibrated, and focused proteins were separated in 12,5% polyacrylamide gels (SDS PAGE). Silver stained gels were recorded with ImageScanner and analyzed with ImageMaster 2D Platinium 6.0 (GE Healthcare) software. Numerous changes in protein expression were detected in endothelial cells exposed to artificial surfaces of tested materials (see TABLE I). [Engineering of Biomaterials, 89-92, (2009), 30]
Research on 3-D bio-printing molding technology of tissue engineering scaffold by nanocellulose/gelatin hydrogel composite

In the biomedicine field, three-dimensional (3-D) printing of biomaterials can construct complex 3-D biological structures such as personalized implants, biodegradable tissue scaffolds, artificial organs, etc. Therefore, nanocellulose/gelatin composite hydrogels are often selected as bio-printing materials in the 3-D printing of biological scaffolds. Process parameters of 3-D printed bio-scaffolds were studied in this work because formation accuracy of scaffolds is an important part of the molding process. Firstly, the mixing proportion of nanocellulose and gelatin was explored, and the optimum proportion was selected. Then, the printing effects of different printing pressures, temperatures, speeds, and nozzle diameters were used in the 3-D printing. The filament widths were used to evaluate the molding effects. Finally, through the calculation and analysis of the grey correlation coefficient and grey correlation degree, the multi-objective optimization of the parameters was carried out. The combined effects of the process parameters and the influence degree order on the evaluation index were obtained. Using these parameters, the 3-D porous biological scaffolds were printed with high precision. Furthermore, using a microscope, the morphologies of CCK-8 cells were observed and the cell proliferation were analyzed. The results demonstrated that the printed bio-scaffolds had good biocompatibility.
Fractal properties of correlated invasion percolation patterns

We present results on Monte Carlo simulations for invasion percolation with trapping considering the presence of spatial size correlations, a problem which is relevant to multiphase ow in eld scale of porous media. The correlations are generated through the dual site bond model, characterized by a spatial correlation length r0, which depends on the overlap between site and bond distributions. Our results indicate that in two-dimensional lattices the fractal dimension of the sample-spanning cluster, is non-universal and vary with the correlation. Comparison with other authors recent ndings is presented. c © 2003 Elsevier B.V. All rights reserved. PACS: 64.60. Ak; 47.55. Mh
A Mathematical Model of the Dynamic Force–length Relationship of Skeletal Muscle Operating on Ascending and Descending Limbs

A new Hill-type model of skeletal muscle contraction referred to as the “SL/ST model” is proposed based on recent physiological ndings: intact human skeletal muscles operate on the ascending limb (hereinafter referred to as the “as-limb”) and the descending limb (“ds-limb”) of the isometric force–length relationship; and stretch-evoked force enhancement (“ST-enhancement”) is found on the ds-limb. Dynamic behaviors differ remarkably between the two limbs. The model has two modes: a sliding lament mode (“SL mode”) and a stretch-evoked force enhancement mode (“ST mode”). The SL mode operates on the as-limb, and on the ds-limb when the muscle is shortening, while the ST mode operates when ST-enhancement occurs in the ds-limb. Transient force responses of the model to length perturbations were similar to those of frog semitendinosus muscles in vitro. Length responses to step change in load of the model suggest that the muscle is unstable and not static in SL mode on the ds-limb, while it is stable and static in SL mode on the as-limb and in ST mode on the ds-limb.
Deception Detection in Online Mafia Game Interactions

In this project, we use deep learning to detect deception through online conversations in the interaction-based party game Mafia. We present various neural network frameworks (LSTM, bidirectional LSTM, CNN) to generate predictions of deceptive text. The results of this paper suggest the capability of neural network architectures to effectively detect deception in the Mafia setting, and offer qualitative analysis in agreement with current deception research findings.
Salvianolic Acid B-Loaded Chitosan/hydroxyapatite Scaffolds Promotes The Repair Of Segmental Bone Defect By Angiogenesis And Osteogenesis

Background Salvianolic acid B has been proven as an effective drug to promote osteogenesis and angiogenesis which could be beneficial for bone repair. Purpose The objective of this study was to construct a salvianolic acid B-loaded chitosan/hydroxyapatite (Sal B-CS/HA) bone scaffold with controlled release and effective bioactivity. Methods The characteristics, controlled release behavior and bioactivity of Sal B-CS/HA scaffold were evaluated in vitro. The bone repair effect was evaluated in the rabbit radius defect model. Results The results showed that chemical and physical characteristics of salvianolic acid B and chitosan/hydroxyapatite (CS/HA) material did not obviously change after the drug loading procedure; the drug release of salvianolic acid B was stable and continuous from the Sal B-CS/HA scaffold for 8 weeks in vitro; the biocompatibility of the Sal B-CS/HA was favorable by evaluation of cell morphology and proliferation; the osteogenic and angiogenic bioactivities of the Sal B-CS/HA scaffold were proved to be effective by in vivo and in vitro tests. Conclusion Our results suggest that this salvianolic acid B-loaded bone scaffold has potential to be used for bone defect repair with both osteogenic and angiogenic bioactivities.
The Transferrin Receptor at the Blood-Brain Barrier - exploring the possibilities for brain drug delivery

There are many diseases of the central nervous system (CNS), like Parkinson's disease, Alzheimer's disease, depression, schizophrenia, epilepsy, migraine headache, and HIV infection in the brain. However, treatment is difficult since many drugs cannot reach the brain in sufficient quantities due to the existence of the blood-brain barrier (BBB). This barrier is situated at the interface of blood and brain and its primary function is to maintain the homeostasis of the brain. The research described in this thesis was initiated to meet the challenge of drug delivery across the BBB. The focus was to explore the possibilities for drug delivery to the brain via the transferrin receptor (TfR). Although drug delivery to the brain via the TfR is not selective, it is effective. A mechanistic approach was chosen in which the binding and association of Tf, Tf-drug conjugates and Tf-tagged liposomes by BCEC in vitro was determined. The efficiency of delivery depends mainly on the size of the cargo: a 40 kDa protein does not affect the association of Tf by the TfR, while a liposomal drug carrier (100 nm in diameter) affects both the association and the intracellular routing.
Asian Medicinal Plants’ Production and Utilization Potentials: A Review

Medicinal plants research in Asia continues to receive significant national and international attention, particularly concerning its multiple roles in poverty alleviation and health care support. However, scientific information on the institutional arrangements, the potentials of different medicinal plants production systems, and the utilization methods, remain highly fragmented. This incomprehensive information base shades the development of a comprehensive research agenda to improve the current body of knowledge, at least in the context of Asia. To address this impasse and propose future research perspectives, we systematically reviewed 247 journal articles, 15 institutional reports, and 28 book chapters. From the reviews, five key lessons are drawn: (i) Asian medicinal plant production systems demonstrate some dynamics, characterized by a gradual but continuous shift from wild gathering to cultivation, (ii) sub-regional variations exist with regards to the appreciation of medicinal plants potentials for traditional healing, modern healthcare and livelihoods support, (iii) knowledge on the effect of multi-scale institutional arrangements (formal and informal) on medicinal plant management practices is fragmented, (iv) very few studies dwell on the challenges of medicinal plants commercialization, particularly with regards to the role of middlemen, boom–bust cycle, raw material readiness, and product quality, and (v) law enforcement, benefit and knowledge sharing, and research and development should be prioritized to serve the interest of medicinal plants production actors. To further extend the body of knowledge on medicinal plants in Asia, we advance the need for empirical investigations on the performance of medicinal plants production systems and their contribution to livelihoods in diverse institutional contexts.
Is Watching Others Self-Disclose Enjoyable? An Examination of the Effects of Information Delivery in Entertainment Media

Self-disclosure is a means through which closeness, familiarity, and satisfaction are produced between partners. The present study integrated interpersonal and mass communication literature to theoretically inform the outcomes of mediated forms of self-disclosure between a viewer and character on television. Empirically testing the effects of two dimensions of disclosure – depth (low intimacy versus high intimacy) and mode (character-to-viewer versus character-to-character versus narrator-to-viewer) of information delivery – this research supported the prediction that a viewer’s overall enjoyment of witnessing a character self-disclose personal information would be mediated by identification and transportation. The results suggest the meaningful role of ‘‘character address’’ in heightening audience engagement with both the character and narrative. Implications for the similarity of interpersonal and mediated relationships, effective entertainment formats, social reality perceptions, and online self-disclosure are discussed.
A Critique of 19 Self-Management Programs for Childhood Asthma: Part II. Comments Regarding the Scientific Merit of the Programs

The scientific merit of 19 educational and self-management programs for childhood asthma was assessed by comparing each program against 12 criteria. These established criteria have evolved over several decades of research with respect both to asthma and to the relationship of the disorder to behavioral and psychological factors. The results of the comparison indicated a majority of the 19 programs failed to satisfy a number of specific criteria ranging from failure to confirm the diagnosis of asthma to failure to apply acceptable standards for evaluating treatment effects. It was noted, however, that four programs satisfied at least 6 of the 12 criteria, and that five programs satisfied from 9 to 12 of the criteria. These studies, it was concluded, provide models for future research.
E-learning on the Cloud – An Analysis

Cloud providers have platforms for users to design, deploy and run applications located in the cloud. Additionally, computing power and storage are also being provided on the cloud. These provisions available on the cloud makes it most suitable for e-leaning purposes. E-learning provides a web-based forum for instructors and students to meet. Both hardware and software systems are required for this purpose. This can easily be implemented using available cloud infrastructure. This study examines current trends in the cloud e-learning areas and provides a useful guide for future research direction. The results showed that benefit of cloud computing was discussed by over 85% of the papers considered, cloud Architecture for e-learning was considered by over 65% of all the papers, around 27% of all the papers discussed e-learning Architecture, benefit of e-learning was considered by 27%, while only 4% discussed the HochschuleFurtwangen University E-learning Cloud Infrastructure. Index Terms — Cloud, cloud computing; E-learning; Multitenancy; Virtualization
A Unified Pipeline for Multiple Object Tracking

In this project, we work on the multiple object tracking(MOT) problem. We aim to reproduce and improve the frame given in the paper Joint Detection and Online MultiObject Tracking [4], which illustrates a unified pipeline consisting of multiple methods like Kalman filter, Single Shot MultiBox Detector, RNN, etc. To improve the performance, we review literature on MOT in the last decade and focus on the paper, Simple Online and Real-time Tracking with a Deep Association Metric(Deep SORT) [8], which utilizes a cosine metrics together with the traditional filter method to achieve better association result. We do experiments on different networks for the detection part and compare multiple association methods. For the last part, we combine the deep SORT method with the joint detection frame to produce a unified pipeline.
A Modified-Whittaker nested vegetation sampling method

A standardized sampling technique for measuring plant diversity is needed to assist in resource inventories and for monitoring long-term trends in vascular plant species richness. The widely used 'Whittaker plot' (Shmida 1984) collects species richness data at multiple spatial scales, using 1 m 2, 10 m 2, and 100 m 2 subplots within a 20 m x 50 m (1000 m 2) plot, but it has three distinct design flaws involving the shape and placement of subplots. We modified and tested a comparable sampling design (Modified-Whittaker plot) that minimizes the problems encountered in the original Whittaker design, while maintaining many of its attractive attributes. We overlaid the two sampling methods in forest and prairie vegetation types in Larimer County, Colorado, USA (n = 13 sites) and Wind Cave National Park, South Dakota, USA (n = 19 sites) and showed that the modified design often returned significantly higher (p < 0.05) species richness values in the 1 m 2, 10 m 2, and 100 m 2 subplots. For all plots, except seven ecotone plots, there was a significant difference (p < 0.001) between the Whittaker plot and the Modified-Whittaker plot when estimating the total number of species in the 1000 m 2 plots based on linear regressions of the subplot data: the Whittaker plot method, on average, underestimated plant species richness by 34%. Species-area relationships, using the Modified-Whittaker design, conformed better to published semilog relationships, explaining, on average, 92% of the variation. Using the original Whittaker design, the semilog species-area relationships were not as strong, explaining only 83% of the variation, on average. The Modified-Whittaker plot design may allow for better estimates of mean species cover, analysis of plant diversity patterns at multiple spatial scales, and trend analysis from monitoring a series of strategically-placed, long-term plots.