Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Allelic Differentiation and Prediction of Suitable Parents among Brassica juncea L. Genotypes using Microsatellite Markers

Brassica species, commonly called as rapeseed-mustard, are the third most important oilseed crops of the world after soybean and palm. These are the second most important oilseed crops of India, next to soybean. India accounts for 19.29 percent area under rapeseed production and 11.70 percent share to the global production (Kumarawat and Yadav, 2018). B. juncea (2n=36, AABB genome), an allopolyploid commonly called as Indian mustard, contributes more than 80 percent to the total rapeseed-mustard production in the country and is an important component in the oilseed sector. It is known to be more drought tolerant and shattering resistant than B. napus and B. rapa, therefore, has an enormous cultivation potential in semi-arid areas. With the International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 8 Number 06 (2019) Journal homepage: http://www.ijcmas. com
Different Perspectives of Low Power Design for CMOS VLSI Circuits

Recently, due to the continuous scaling of feature size, a massive development has been taken place in the field of portable devices. Present electronics market is full of battery operated highly complex gadgets and multifunctional portable devices. The power consumption in these devices has become the pivotal constraint which imposes huge restrictions in the development of low power portable devices in the near future. The key thrust of this paper is to focus on the various perspectives of low power design for CMOS VLSI circuits.
EG artifact elimination by extraction of ICA-component features sing image processing algorithms

Machine-driven EEG artifact removal through automated selection of ICs is proposed. Feature vectors extracted from IC via image processing algorithms are used. LDA classification identifies range filter as powerful feature (accuracy rate 88%). The method does not depend on direct recording of artifact signals. The method is not limited to a specific number of artifacts. g r a p h i c a l a b s t r a c t
An Improved Gateway-Based Energy-Aware Multi-Hop Routing Protocol for WSNs.

: In a large scale WSN the nodes which are nearer to sink are always used for forwarding packet from all other distant nodes. Due to this, the nodes which are nearer to sink are out of energy very soon and an energy hole is created near the sink and the sink becomes unreachable, while maximum nodes in the network are still alive. In this research work a gateway based protocol has been proposed, which is an improvement over the M-GEAR protocol. In the proposed work the base station is considered to be located outside the network area. The sensors are randomly based and based on threshold levels are divided into six parts. The sensor nodes below the threshold are in direct communication with the gateway node while those above the threshold level use clustering hierarchy similar to those proposed in LEACH for communication. The results are compared with the existing protocol and fares well in terms of increased lifetime, throughput and residual energy. The BS is located far away from the sensing field. gateway BS
Automatically generating runtime monitors from tests

A large portion of the software development industry relies on testing as the main technique for quality assurance while other techniques which can provide extra guarantees are largely ignored. A case in point is runtime verification [3, 9, 7, 12] which provides assurance that a system’s behaviour is correct at runtime. Compared to testing, this technique has the advantage of checking the actual runs of a system rather than a number of representative testcases. Based on experience [6, 5] with local industry, one of the main reasons for the lack of uptake of runtime verification is the extra effort required to formally specify the correctness criteria to be checked at runtime — runtime verifiers are typically synthesised from formal specifications (e.g., Larva [7], JavaMOP [12]). One potential approach to address this issue is that of using the information available in tests to automatically obtain monitors [8]. The plausibility of this approach lies in the similarity between tests and runtime verifiers: tests drive the system under test and check that the outcome is correct; runtime verifiers also check that the outcome is correct but let the system users drive the system. Notwithstanding the similarities, the fact that in runtime verification the users drive the system means that, while tests are typically focused on checking very specific behaviour, runtime verification assertions need to be able to handle the general case. This makes it hard to create runtime monitors (which are generic enough to be useful) from tests, in particular due to the following aspects:
Running Title : Chaotic Vibrating Particles System for RCPSP Chaotic Vibrating Particles System for Resource-Constrained Project Scheduling Problem

Project scheduling in the resource-constrained situation is one of the key issues of projectoriented organizations. The aim of resource-constrained project scheduling problem (RCPSP) is finding a schedule with minimum makespan by considering precedence and resource constraints. RCPSP is a combinatorial optimization problem and belongs to the class of NP-hard problems. The exact methods search the entire search space and are unable to solve large-sized project networks. Thus metaheuristics are used to solve this problem with less computational time. Due to the probabilistic nature of metaheuristics, it is a challenging problem to balance between exploitation and exploration phases. The literature review shows that embedding with chaos improves both the convergence speed and the local optima avoidance of metaheuristics. This paper presents a Chaotic Vibrating Particles System (CVPS) optimization algorithm for solving the RCPSP. Vibrating Particles System (VPS) is a physic inspired metaheuristic which mimics the free vibration of single degree of freedom systems with viscous damping. The performance and applicability of the CVPS is compared with the standard VPS, and five well known algorithms on three benchmark instances of the RCPSPs Experimental studies reveals that the proposed optimization method is a promising alternative to assist project managers in dealing with RCPSP.
Nontrivial dynamical scaling in the Internet: experiments and a simple model

On router level the Internet is a complex network which is embedded in a geographical space. Alongside its scale-free topological properties [1, 2], it also shows a dynamical scaling: the communication speed has a nontrivial dependency as a function of the geographical distance similar with what was recently discussed for human mobility patterns [3]. Several ”ping” and ”traceroute” experiments prove that the average speed is increasing with the distance, following a roughly square root trend. To explain this novel scaling law and other measurable topological properties a realistic model has to be created. This kind of model must be based on realistic assumptions on the wiring process and has to reproduce the experimentally measured topological properties of the Internet, including the observed scaling of the communication speed versus distance. Here we present experimental results concerning the topology, the dynamical scaling and a simple model which can reproduce the measured features. For experimental measures we use the ping protocol with coordinate data from different parts of the world [4], and the freely available results of the CAIDA UCSD IPv4 Routed /24 Topology Dataset [5].
Analisis Perbandingan Metode OverSampling Adaptive Synthetic-Nominal ( ADASYN-N ) dan Adaptive Synthetic-kNN ( ADSYN-kNN ) untuk Data dengan Fitur Nominal-Multi Categories

This paper presented the comparasion of oversampling technique to overcome the imbalanced data problem on the datasets with nominal-multi categories featured between Adaptive Synthetic-Nominal (ADASYN-N) and Adaptive Synthetic-kNN (ADASYN-kNN) methods. There are 7 datasets with nominal-multi categories featured that have an unbalanced class distribution. The oversampled datasets with both methods are then classified using the Random Forests method. The accuracy between the original datasets and the datasets with ADASYN-N oversampling and ADASYN-kNN techniques are compared. KeywordsADASYN; imbalanced data; nominal; k-NN; multi categories Abstrak—Pada penelitian ini disajikan tentang perbandingan teknik oversampling untuk mengatasi masalah ketidakseimbangan (imbalanced) kelas pada dataset dengan fitur nominal-multi categories antara metode Adaptive Synthetic-Nominal (ADASYN-N) dengan Adaptive Synthetic-kNN (ADASYN-kNN). Terdapat 7 dataset dengan fitur nominal-multi categories yang memiliki distribusi kelas yang tidak seimbang. Kemudian dataset yang telah dioversampling dengan kedua metode tersebut dilakukan klasifikasi menggunakan metode Random Forests. Selanjutnya dilakukan perbandingan akurasi antara dataset asli dan dataset dengan teknik oversampling ADASYN-N serta ADASYN-kNN. Kata kunci-ADASYN; imbalanced data; nominal; k-NN; multi categories
Norms Without Knowledge : Intervention Heuristics for Influencing Social Norms in Networks

We consider the question of how to optimally influence the adaptation of positive social norms in a community, given limited information about the community structure and a limited budget for intervention. We focus primarily on a game-theoretic model of normative behavior in a social network which permits an analytic solution for both the equilibrium action profile and the intervention which maximizes social welfare. Computing the optimal intervention requires full knowledge of the adjacency matrix for the network, which may be unrealistic in practical scenarios. We propose several heuristic approaches for intervention which can be implemented with limited information about the network structure and conduct simulations of these heuristics to evaluate their efficacy. Our results illustrate the strengths and tradeoffs of these heuristics under various network conditions and can serve guidelines for promoting positive norms in communities.
Labor Productivity in the Informal Sector: Necessity vs. Opportunity Firms

Differences between opportunity and necessity firms within the informal sector have long been debated. This paper revisits this debate using a new dataset of informal firms in three African countries. Focusing on average productivity of labor, a measure of firm efficiency, we find that it is much higher for opportunity compared with necessity firms. However, this difference between necessity and opportunity firms holds only within the sample of manufacturing firms. For firms in the service sector, there is no such difference.
Gr upSM Conservative Surgery for Early Cervical Cancer in Young Women-A Review

Cervical cancer is the third most common cancer in women worldwide with 500,000 new cases and 250,000 deaths annually. Persistent Human Papilloma Virus (HPV) infection is accepted as the leading aetiological agent for cervical cancer. Up to 42 percent of all cervical cancers are diagnosed in women before the age of 45 years, and up to 40% of early cervical cancers are diagnosed in young women desirous of preserving fertility and potentially interested in a fertility-preserving surgery. The high incidence rate and progressiveness of cervical cancer has led researchers to continually examine and pursue better diagnosis, prognosis, and treatment techniques to decrease mortality rates and comorbidity. While radical hysterectomy is an effective treatment in women with early stage cervical cancer (Stages IA1–IIA), with 5-year overall survival rates of 73.4%–97.5%, this procedure is not without morbidity. Although traditionally patients have received radical surgery for all but the smallest squamous cervical lesions, there is a movement towards less radical surgery in patients with 1A and small 1B cervical carcinoma. Non-radical surgery can be considered in such patients desirous of fertility preservation in whom tumor size <2 cm, limited depth of invasion, absence of LVSI and negative pelvic lymph nodes on frozen section when the risk of parametrial involvement is approximately 1% or less. Recent studies have explored less radical surgical options for early-stage cervical cancer, including simple K Pushpalatha* Department of Obstetrics and Gynaecology, AIIMS, India *Corresponding author: K Pushpalatha, Department of Obstetrics and Gynaecology, AIIMS, Bhubaneswar, India, Email: pushpak_73@yahoo.com Published Date: December 10, 2015
Two Simulation Tools for Biologically Inspired Virtual Robotics

This paper describes two simulators that have been developed as part of Holland’s and Troscianko’s project to build a conscious robot. The first simulates a reconfigurable humanoid robot within a dynamic environment. This robot is more biologically realistic than traditional humanoid robots because its movements are transmitted across its whole structure, which poses the same control problems that brains have to solve with biological systems. The second simulator in this paper simulates large numbers of spiking neurons with a flexibility and speed that makes it ideal for developing models of biologically structured neural networks. In combination these simulators will enable researchers to develop models of how the brain controls the human body and they will also be used to create and test controllers for the real CRONOS robot, on which the virtual robot is based. These tools are currently in their final stage of development and will soon be made freely available for non-commercial use.
Serious misdiagnosis-related harms in malpractice claims: The “Big Three” – vascular events, infections, and cancers

Abstract Background Diagnostic errors cause substantial preventable harm, but national estimates vary widely from 40,000 to 4 million annually. This cross-sectional analysis of a large medical malpractice claims database was the first phase of a three-phase project to estimate the US burden of serious misdiagnosis-related harms. Methods We sought to identify diseases accounting for the majority of serious misdiagnosis-related harms (morbidity/mortality). Diagnostic error cases were identified from Controlled Risk Insurance Company (CRICO)’s Comparative Benchmarking System (CBS) database (2006–2015), representing 28.7% of all US malpractice claims. Diseases were grouped according to the Agency for Healthcare Research and Quality (AHRQ) Clinical Classifications Software (CCS) that aggregates the International Classification of Diseases diagnostic codes into clinically sensible groupings. We analyzed vascular events, infections, and cancers (the “Big Three”), including frequency, severity, and settings. High-severity (serious) harms were defined by scores of 6–9 (serious, permanent disability, or death) on the National Association of Insurance Commissioners (NAIC) Severity of Injury Scale. Results From 55,377 closed claims, we analyzed 11,592 diagnostic error cases [median age 49, interquartile range (IQR) 36–60; 51.7% female]. These included 7379 with high-severity harms (53.0% death). The Big Three diseases accounted for 74.1% of high-severity cases (vascular events 22.8%, infections 13.5%, and cancers 37.8%). In aggregate, the top five from each category (n = 15 diseases) accounted for 47.1% of high-severity cases. The most frequent disease in each category, respectively, was stroke, sepsis, and lung cancer. Causes were disproportionately clinical judgment factors (85.7%) across categories (range 82.0–88.8%). Conclusions The Big Three diseases account for about three-fourths of serious misdiagnosis-related harms. Initial efforts to improve diagnosis should focus on vascular events, infections, and cancers.
Tractable Reserve Scheduling Formulations for Power Systems with Uncertain Generation

The increased penetration of renewable energy sources (in particular, wind generation) into the electricity grid highlights the necessity of constructing stochastic variants of the so-called unit commitment (deciding which generators to switch on at what time) and reserve scheduling problems. In this thesis, we formulate an optimization problem for a DC power flow based model of power network and propose a technique based on randomized optimization to solve both the unit commitment and the reserve scheduling problems in a unified framework while providing probabilistic performance guarantees. This technique allows us to handle integer variables, an essential step for addressing the unit commitment problem. The resulting performance enhancement in terms of the total energy procurement cost observed in simulations was quite substantial. We then introduce affine feedback policies for reserve scheduling to assess whether more sophisticated "recourse" strategies are able to provide a further improvement in energy costs. Finally, we extend our power network models to more accurate models based on AC power flow and propose a novel relaxation method to obtain a convex (albeit very complex) optimization problem. Empirical evidence shows that the proposed relaxation technique tends to a feasible solution for the exact problem. The theoretical developments in all cases above were validated on realistic benchmark problems of power networks and a discussion on the tractability of the resulting optimization problems is presented.
IBM Research Report No Smart Phone Is an Island: The Impact of Places, Situations, and Other Devices on Smart Phone Use

We interviewed 21 people both before and after they acquired an iPhone 3G or T-Mobile G1 to assess how next-generation smart phones impact user behavior. We focused on exploring what motivates people to use their smart phones, what applications they use, what information they access or produce, when and for how long they interact with their phones, and how this usage relates to other tasks and devices. Our results suggest that the use of next-generation mobile phones depends heavily on contexts, particularly users’ other devices and the places and situations users encounter. We observed that users employ their mobile phones in concert with, not independent of, their other computers. Rather than just mimicking desktop use, however, they employ their phones in different ways and for new tasks. The places and situations in which users employ their phones shape the tasks they undertake and how they make time to use their devices, fill idle time with them, or defer tasks to their other devices. We draw on our observations to offer design implications, focusing on how to support mobile phone use in the context of other devices and different places and situations.
Flexible and Wearable Electronic Devices ; Market Forecasts 2015-2025

Wearable technology mainly concerns devices and apparel that aim to afford integrated electronic functionality in a wide range of products; from glasses and headphones to arm, wrist, leg and footwear, skin patches and even jewelry, the device business is already large, at over $14 billion in 2014 according to IDTechEx research. It also has the largest number of big brands involved, such as Apple, Accenture, Adidas, Fujitsu, Philips, Reebok, Samsung, SAP and Roche behind the most promising new developments. However, truly disruptive new technology, in the form of e-textiles and even soft robotics, will also begin to establish major sales in a few years' time and fashion, industrial, commercial and military applications will burgeon as a consequence. This paper will focus on the detailed study of the activities of over 1200 organizations (consumer electronics companies, apparel companies, healthcare companies, but also research and academic institutes) actively developing wearable devices. It will describe their activities, areas of focus, growth areas as well as particular challenges in commercialization.
Alternative Numerical Techniques to Approximate the Electric Field of the Electrostatic Precipitators

This paper proposes to show how different numerical methods can be used to estimate the electric field distribution of an electrostatic precipitator. The principle of each method and the equations underlying each approach, with concrete implementation for this application, are briefly presented. The results obtained through their implementation in computer programs are then explained and compared. Finally some conclusions are drawn, which highlights the advantages of certain methods. Key-Words: Electrostatic precipitator, electric field, domain methods, boundary element method
Key Dimensions that are Relevant to Leadership Excellence in Thailand

This paper explores the dimensions that contribute to leadership excellence in Thailand and empirically tests the Selvarajah, Duignan, Nuttman, Lane and Suppiah (1995) model. Summated scales for the importance of Excellent Leadership, Personal Qualities, Managerial Behaviours (MB), Organisational Demands, and Environmental Influences were developed. A structural model was constructed to explain the relationship in excellence in leadership. 403 managers participated in this research. The findings suggest that there are strong cultural factors such as non-confrontation and respect moderating the perceptions of Thai managers with regard to an Excellent Leader. Thailand attracts international investor interest and the relevance of behavioural values for business is of great importance to human resources management. There is limited literature on Thai management and leadership styles and the available literature has not linked cultural values and norms to leadership constructs in Thailand. The findings in this paper are important for managers on foreign assignment in Thailand and for others who engage with Thailand.
THE RELATIONSHIP BETWEEN OWNERSHIP STRUCTURE , FINANCIAL CONSTRAINTS AND RATIO OF COSTS OF RESEARCH AND DEVELOPMENT COMPANY LISTED ON THE TEHRAN STOCK EXCHANGE

The aim of this study was to investigate the relationship between ownership structure, financial constraints and the ratio of R & D spending companies listed in the Tehran Stock Exchange. This research is study, library, scientific analytical and based on panel data analysis (panel data). The data of 102 financial companies listed on the Tehran Stock Exchange during the period 1389 to 1393 (512 firm years). To analyze the results of the study is used Eviews 7 software. The results showed that the three hypotheses regarding the approval of the financial constraints and the ratio of R & D spending is reversed, also between Institutional ownership structure and the ratio R & D spending and Finally, the ownership structure of management than R & D spending significant inverse relationship exists. Also according to the analysis made in connection with the fourth research hypothesis to the conclusion that between Shareholder ownership structure split and the ratio of R & D spending, there is no significant relationship.
Effectiveness of integrative and instrumental reminiscence therapies on depression symptoms reduction in institutionalized older adults : An empirical study

H. Karimi*, B. Dolatshahee, K. Momeni, A. Khodabakhshi, M. Rezaei and A.A. Kamrani Faculty of Social Sciences, Department of Psychology, Razi University, Kermanshah, Iran; Department of Clinical Psychology, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran; Department of Counseling, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran; Department of Biostatistics, Kermanshah University of Medical Sciences, Kermanshah, Iran; Department of Clinical Sciences, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran