Syntactic and Semantic Analysis and Visualization of Unstructured English Texts

People have complex thoughts, and they often express their thoughts with complex sentences using natural languages. This complexity may facilitate efficient communications among the audience with the same knowledge base. But on the other hand, for a different or new audience this composition becomes cumbersome to understand and analyze. Analysis of such compositions using syntactic or semantic measures is a challenging job and defines the base step for natural language processing. In this dissertation I explore and propose a number of new techniques to analyze and visualize the syntactic and semantic patterns of unstructured English texts. The syntactic analysis is done through a proposed visualization technique which categorizes and compares different English compositions based on their different reading complexity metrics. For the semantic analysis I use Latent Semantic Analysis (LSA) to analyze the hidden patterns in complex compositions. I have used this technique to analyze comments from a social visualization web site for detecting the irrelevant ones (e.g., spam). The patterns of collaborations are also studied through statistical analysis. Word sense disambiguation is used to figure out the correct sense of a word in a sentence or composition. Using textual similarity measure, based on the different word similarity measures and word sense disambiguation on collaborative text snippets from social collaborative environment, reveals a direction to untie the knots of complex hidden patterns of collaboration

Towards Predicting Control of a Brain-Computer Interface

Individuals suffering from locked-in syndrome are completely paralyzed and unable to speak but otherwise cognitively intact. Traditional assistive technology is ineffective for this population of users due to the physical nature of input devices. Brain-computer and biometric interfaces offer users with severe motor disabilities a non-muscular input channel for communication and control, but require that users be able to harness their appropriate electrophysiological responses for effective use of the interface. There is currently no formalized process for determining a user’s aptitude for control of various biometric interfaces without testing on an actual system. This study presents how basic information captured about users may be used to predict their control of a brain-computer interface that is based on electrical variations in the motor cortex region of the brain. Based on data from 55 able-bodied users, we found that the interaction of age and daily average amount of hand-and-arm movement by individuals correlates to their ability in brain- computer interface control. This research may be expanded into a more robust model linking individual characteristics and control of various biometric interfaces

Self organized criticality of magnetic avalanches in disordered ferrimagnetic material

We observe multiple step-like jumps in a Dy-Fe-Ga-based ferrimagnetic alloy in its magnetic hysteresis curve at 2 K. The observed jumps have a stochastic character with respect to their magnitude and the critical field of occurrence, and the jumps do not show any temporal effect. The jump size distribution follows a power law variation indicating the scale invariance nature of the jumps. We have invoked a simple two-dimensional random bond Ising-type spin system to model the dynamics. Our computational work can qualitatively reproduce the jumps and their scale invariant character. It also elucidates that the flipping of antiferromagnetically coupled Dy and Fe clusters is responsible for the observed discrete avalanche-like features in the hysteresis loop. These characteristics indicate that the present phenomenon can be well described within the realm of self-organized criticalityComment: 12 pages, 13 figure

SOILS OF BISWANATH COLLEGE OF AGRICULTURE FARM: SURVEY AND LAND USE PLANNING

Not AvailableSoil is a unique living entity. It has its origins in physical, chemical and biological interactions between the parent materials and the atmosphere. The very existence of mankind depends on this natural resource. This resource has to be guarded against depletion of its individual intrinsic values for sustainable agricultural production. There is a growing realization on the scientific management of soil health both at the national and international level. Scientific management of soil needs location and site specific information pertaining to the nature of soil and other land resources, their constraints, potential and suitability for various crops and other uses. In this context soil survey plays an important role in exploiting the potential soil resources and basic information and principles for their better utilization. It is appreciated that our faculty members of the Department of Soil Science, AAU Jorhat and the Scientist from AICRP(DA), BNCA, AAU Biswanath Chariali have conducted a detailed soil survey of the farm of Biswanath College of Agriculture and prepared a soil survey report covering all the aspects pertaining to scientific management of the land resource. I sincerely hope that the report will provide the desired information on the soils of the area and offer the guidelines to develop better land use planning.Not Availabl

Statistical Stability and Biological Validity of Clustering Algorithms for Analyzing Microarray Data

Simultaneous measurement of the expression levels of thousands to ten thousand genes in multiple tissue types is a result of advancement in microarray technology. These expression levels provide clues about the gene functions and that have enabled better diagnosis and treatment of serious disease like cancer. To solve the mystery of unknown gene functions, biological to statistical mapping is needed in terms of classifying the genes. Here we introduce a novel approach of combining both statistical consistency and biological relevance of the clusters produced by a clustering method. Here we employ two performance measures in combination for measuring statistical stability and functional similarity of the cluster members using a set of gene expressions with known biological functions. Through this analysis we construct a platform to predict about unknown gene functions using the outperforming clustering algorithm

Individual Characteristics and Their Effect on Predicting Mu Rhythm Modulation

Brain-computer interfaces (BCIs) offer users with severe motor disabilities a nonmuscular input channel for communication and control but require that users achieve a level of literacy and be able to harness their appropriate electrophysiological responses for effective use of the interface. There is currently no formalized process for determining a user\u27s aptitude for control of various BCIs without testing on an actual system. This study presents how basic information captured about users may be used to predict modulation of mu rhythms, electrical variations in the motor cortex region of the brain that may be used for control of a BCI. Based on data from 55 able-bodied users, we found that the interaction of age and daily average amount of hand-and-arm movement by individuals correlates to their ability to modulate mu rhythms induced by actual or imagined movements. This research may be expanded into a more robust model linking individual characteristics and control of various BCIs. [ABSTRACT FROM AUTHOR] Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Lt

Revisiting Vertical Flap Pyeloplasty in Pelviureteric Junction Obstruction: A Case Series

Pelviureteric Junction Obstruction (PUJO) can cause recurrent Urinary Tract Infections (UTIs), pain, and loss of renal unit function. Surgical intervention is often required, and numerous treatment strategies have been employed. Vertical flap pyeloplasty was initially described as the technique of choice in PUJO patients with the large box-shaped extra-renal pelvis and longer segment strictures (usually >2 cm). In the present case series, 11 patients underwent vertical flap pyeloplasty for PUJO with a large extrarenal box-shaped pelvis. Demographic, perioperative, and follow-up data were recorded. Success was defined as symptomatic improvement and an improvement in early Diethylenetriamine Pentaacetate (DTPA) renogram at six months. In the present series, all 11 patients showed an improvement in Glomerular Filtration Rate (GFR) with an average improvement of 11.9 mL. The procedure was technically easier, less time-consuming, and produced acceptable results. Vertical flap pyeloplasty could be considered as a practical, technically easier, and effective treatment option in PUJO with a large extrarenal pelvis and long segment strictures

Dataset: an overview of knowledge graphs in NFDI

Shigapov R, Limani F, Degbelo A, et al. Dataset: an overview of knowledge graphs in NFDI. NFDI; 2023.This dataset contains a list of knowledge graphs (KGs), KG software, KG publications and KG use cases in context of NFDI (German National Research Data Infrastructure). The related manuscript is submitted to a poster session at the&nbsp;1st Conference on Research Data Infrastructure - Connecting Communities,&nbsp;12. &ndash; 14. September 2023, Karlsruhe, Germany: &#39;Who is using Knowledge Graphs in NFDI? An overview by the Working Group &quot;Knowledge Graphs&quot;&#39;.</p