Asynchronous Nano-Electronics: Preliminary Investigation

This paper is a preliminary investigation in implementing asynchronous QDI logic in molecular nano-electronics, taking into account the restricted geometry, the lack of control on transistor strengths, the high timing variations. We show that the main building blocks of QDI logic can be successfully implemented; we illustrate the approach with the layout of an adder stage. The proposed techniques to improve the reliability of QDI apply to nano-CMOS as well

Predikt : a simpler machine learning experience

textWith the exponential growth in volume of data being generated by the businesses today, the need for automated systems to facilitate decision making is growing. In many cases, the volume of data has reached the scale where it is not humanly possible to analyze the relevant data using traditional processes, which are dependent on manual intervention, to reach a good decision. The increase in diversity of data sources (internal, external, social, sensors, etc) has added significantly to the challenge of decision making. Predikt presents a simplified approach for the automation of decision making in organizations using Data Mining and Machine Learning techniques with minimal human intervention. Human Intervention, when required, will typically be to accept, reject or override a decision already made by the machine. Predikt front-end as well as back-end is able to adapt to end users unique requirements. Predikt is able to render User Interface dynamically based on User Inputs, while backend is able to do intelligent data processing such as binning (for numeric columns) and multiple model evaluation.Electrical and Computer Engineerin

When is a Function Securely Computable?

A subset of a set of terminals that observe correlated signals seek to compute a given function of the signals using public communication. It is required that the value of the function be kept secret from an eavesdropper with access to the communication. We show that the function is securely computable if and only if its entropy is less than the "aided secret key" capacity of an associated secrecy generation model, for which a single-letter characterization is provided

A Study Of Reduction In Gender Inequality With Respect To Access To Higher Education - A Case Study Of Tamil Nadu And Kerala

Gender Inequality in Higher education is a major concern for India but some states are successful in reducing it. Kerala and Tamil Nadu state ruled by regional parties in states that have focused on education for decades. The study analyzes the growth in gross enrollment ratio and gender parity. It studies the development of higher education and policies for it. It studies the role of economic growth in the enrollment of women in higher education. It studies the establishment of subsidized higher education institutions widely in the states has helped in reducing gender inequality in the state. It studies the regional state parties’ role in setting agenda

Investment and Retirement Planning – A Conceptual Analysis

Purpose: The aim of this study is to examine the intricate interplay between investment strategies and retirement planning through a comprehensive conceptual analysis. This study aims to provide a holistic conceptual analysis that guides sound financial decision-making for a secure and fulfilling retirement by thoroughly examining the complex relationship between investment strategies and retirement planning and drawing conclusions from empirical investment and retirement theories.   Theoretical framework: The research draws upon a multidisciplinary approach, integrating theories from finance, economics, and psychology to develop conceptual understanding that illuminates the complex dynamics influencing individuals' investment decisions within the context of retirement planning.   Approach: Employing a qualitative research design, this study utilizes an extensive literature review and content analysis of scholarly articles, reports, and expert opinions to develop a nuanced understanding of the factors shaping investment behaviors and retirement preparedness.   Findings: The results of this analysis highlight the critical role of risk tolerance, financial literacy, psychological biases, and socio-economic factors in shaping individuals' investment choices and retirement planning strategies. Moreover, the study underscores the significance of early and strategic investment decisions in ensuring a financially secure retirement.   Research, practical & social implications: Research, Practical & Social implications: The study's insights offer a valuable resource for financial advisors, policymakers, and individuals seeking to optimize their investment and retirement strategies. By elucidating the underlying mechanisms driving investment behavior, the research informs the development of tailored advice, educational initiatives, and policy interventions that enhance retirement preparedness and overall financial well-being.   Originality/Value: Furthermore, the study contributes to a broader societal understanding of the implications of investment choices on individuals' long-term financial security, thus fostering a more financially resilient aging population. Originality/value: The value of the study lies in its holistic approach to dissecting the intricacies of investment decisions within the realm of retirement planning. By synthesizing diverse theoretical perspectives, this research offers a comprehensive framework for comprehending the multifaceted factors that influence investment behaviors and retirement outcomes. The study's unique contribution lies in its ability to bridge the gap between academic research and practical application, providing actionable insights that have the potential to drive positive financial behaviors and reshape retirement planning paradigms

Slack Matching Quasi Delay-Insensitive Circuits

Slack matching is an optimization that determines the amount of buffering that must be added to each channel of a slack elastic asynchronous system in order to reduce its cycle time to a specified target. We present two methods of expressing the slack matching problem as a mixed integer linear programming problem. The first method is applicable to systems composed of either full-buffers or half-buffers but not both. The second method is applicable to systems composed of any combination of full-buffers and half-buffers

Information-Theoretic Bounds for Multiround Function Computation in Collocated Networks

We study the limits of communication efficiency for function computation in collocated networks within the framework of multi-terminal block source coding theory. With the goal of computing a desired function of sources at a sink, nodes interact with each other through a sequence of error-free, network-wide broadcasts of finite-rate messages. For any function of independent sources, we derive a computable characterization of the set of all feasible message coding rates - the rate region - in terms of single-letter information measures. We show that when computing symmetric functions of binary sources, the sink will inevitably learn certain additional information which is not demanded in computing the function. This conceptual understanding leads to new improved bounds for the minimum sum-rate. The new bounds are shown to be orderwise better than those based on cut-sets as the network scales. The scaling law of the minimum sum-rate is explored for different classes of symmetric functions and source parameters.Comment: 9 pages. A 5-page version without appendices was submitted to IEEE International Symposium on Information Theory (ISIT), 2009. This version contains complete proofs as appendice

Developing the Computational Building Blocks for General Intelligent in SOAR

Cognitive architecture's purpose is to generate artificial agents with capacities similar to the human mind. Soar Cognitive Architecture is to produce the fixed computational building blocks needed for generally intelligent agents— agents that can outright a variety of tasks and encode, use, and learn all types of knowledge to realize the broad cognitive abilities present in humans. This paper introduced an arithmetic agent that does multicolumn, two-digit addition in SOAR. Here, we show the entire calculating procedure, including all of its operators. We are using episodic memory assistance to enhance the set of cognitive abilities that let the agent learn and reason

Hospital incident command system, the pillar of COVID-19 outbreak response: An experience from Patan Hospital, Nepal

In times of disaster, hospital’s preparedness for disaster and response plan contributes significantly to better functioning of the hospital and reducing mortality and morbidity. Activating Hospital incident command system in a timely manner in Patan Hospital has showed how the hospital is better prepared to handle this epidemic outbreak. Keyword: Disaster, epidemic, hospital preparedness, incident command syste

Imatinib and Thyroid Dysfunction in BCR-ABL Positive CML Patients

Background: Thyroid dysfunction is a known adverse effect of some tyrosine kinase inhibitors like sunitiniband sorafenib while imatinib hasbeen shown to induce hypothyroidism and increased requirement of levothyroxine in thyrectomizedpatients. Very few retrospective studies are available for CML patients treated with imatinib,which havedemonstrated conflicting effects on thyroid function.Experimental design: We have prospectively studied thyroid function at baseline and at 6 months of imatinib treatment in 30 newly diagnosed BCR-ABL positive CML patients.Results: Two (6.7%) patients had subclinical hypothyroidism at diagnosis with the prevalence not being different from general population. Though the TSH levels increased significantly from baseline (3.80±2.00 mIU/L vs. 3.14±1.65 mIU/L, p =0.016) after6 months of treatment, 90% of the patients remained euthyroid. Only 3 patients had subclinical hypothyroidism.Conclusion: Imatinib did not have any significant impact on thyroid function in CML patients but may possibly alter the peripheral metabolism of thyroid hormones