Miracle-dz/UniFAR-FTUs huggingface dataset:
Mobile robot trajectory planning using enhanced artificial bee colony optimization algorithm

An Enhancement of Artificial Bee Colony (ABC) algorithm, reflecting the multi-objective features of robot trajectory planning problems, is designed and simulated results are presented. Even though the basic ABC algorithm used in mobile robot can obtain a quick absolute trajectory, it still has its own drawbacks. This bio-inspired meta-heuristic algorithm, which emulates the bee's behavior of foraging around their bee-hives, is used to obtain the optimal trajectory from a source position to a destination position. The trajectories of the robots' motion from predetermined source points to target points in the prescribed scenarios are evaluated with the eventual motive to acquire collision-free trajectories and to reduce the trajectory lengths of all the motion of robots in the scenario. The trajectories that are to be developed locally for ‘n’ robots are adequately small with minimal spacing with the obstacles, if any, in the prescribed scenario. Based on the traditional Artificial Bee Colony algorithm, another objective function for each and every robot's trajectory is inferred for global trajectory planning. The fitness function and initialization strategy are also optimized to enhance the capabilities of the proposed algorithm. Simulation results of the proposed Enhanced ABC algorithm are compared with the basic ABC algorithm. It reveals that the proposed optimization algorithm performs better than the basic ABC algorithm in terms of trajectory distance and path deviations and also shows that the proposed algorithm is effective for use in real-time trajectory planning of mobile robots.
Prevalence of attention deficit hyperactivity disorder in school goingchildren aged between 5-12 years in Bengaluru.

Background: Attention deficit hyperactivity disorder (ADHD) is one of the most common childhood psychiatric disorders that affect 2% to 14% of school age children. It is characterized by age inappropriate level of inattention with or without motor over activity and impulsivity in academic and social spheres. Boys are more affected than girls and male female ratio is 4:1. Although ADHD is the most common condition, the evidence from Indian studies is very less. Many studies are required in India to see the magnitude of ADHD. Evaluation of the prevalence of this condition in our country will help clinicians to consider the diagnosis of ADHD and related disorders. This study aims to determine the prevalence of ADHD among school going children (5 years to 12years) and to know the difference between government and private schools as well as to determine male to female ratio in Bengaluru. Methods: This was a cross-sectional study done in Bengaluru city by convenience sampling method. A total 18 schools comprising of both private and government were selected. 3120 Children aged between 5-12years studying in these schools were included in the study. Introduction about ADHD was given by Paediatrician to the teachers followed by screening for ADHD was done by teachers using Conner’s teachers rating scale for all children. Positive cases in these were screened with Parents and Paediatrician by using Conner’s parent rating scale. Children who were positive in Parents and Paediatrician rating scale were interviewed by the Psychiatrist at KIMS Hospital and ADHD was diagnosed by using DSM V criteria along with IQ assessment and treatment was started for the needy. Results: The prevalence of ADHD in our study was 1.3%. Male to female ratio was 1.6:1. Among the positive cases, children belonging to Hyperactivity type were 34.1%, inattention was 9.8% and combined type was 56.1%. Prevalence in private school was 1.25% and government school was 1.37%. Total dropouts were 2.5% who did not reach the hospital for the final diagnosis. Conclusion: ADHD is prevalent worldwide and it is also one of the emerging disorders in our country. It constitutes a significant mental health disorder in children and 50% of this disorder will be carried to adulthood. In our study we had prevalence of 1.3% ADHD and 2.5% dropouts due to lack of awareness of this disorder, their work pressure, distance, social and financial constricts. It is high time to identify the disorder and creating wide spread awareness about ADHD by the Paediatrician’s among the Teachers, Parents and Primary care Physicians, in order to prevent the social and academic impact of the disorder. By introducing an ADHD standard screening methods in all schools along with the regular health check-ups will bring awareness in the society for the healthy future of the children. Lastly every school should have a counsellor to overcome ADHD and other related problems.
On the Capacity Region of the Parallel Degraded Broadcast Channel With Three Receivers and Three-Degraded Message Sets

We consider a broadcast channel with three receivers and three-degraded message sets, i.e., the transmitter has a common message intended for all three receivers, a message intended for receivers 2 and 3, and a private message intended only for receiver 3. The messages are transmitted over a family of parallel degraded broadcast channels. In the most general case, the broadcast channel consists of the product of six parallel degraded broadcast channels, each with a different order of degradedness. We first consider an achievable rate region of Nair and El Gamal, by appropriately choosing independent input random variables and auxiliary random variables for each subchannel. We then show that the achievable rate region attains the capacity region for two different classes of such broadcast channels, one consisting of the product of five parallel degraded broadcast channels and another consisting of the product of three parallel degraded broadcast channels. To accomplish this, we make use of an information-theoretic inequality that may be proven using the Csiszár-sum identity. Next, we extend the result to the Gaussian case. We consider the aligned Gaussian MIMO broadcast channel consisting of the product of six parallel degraded Gaussian broadcast channels, where the Gaussian noise vectors for each of the users in each of the subchannels follow a degradedness order, i.e., the noise covariance matrices may be ordered in a positive semi-definite sense. We show that the Nair–El Gamal achievable rate region considered in this paper is maximized by Gaussian inputs. To prove that Gaussian inputs are optimal, we prove an extremal entropy inequality employing a new method recently introduced by Geng and Nair to prove the capacity region of the two-user Gaussian MIMO broadcast channel with common and private messages.
Longitudinal analysis of impulse control disorders in Parkinson disease

Objective To investigate the longitudinal dose-effect relationship between dopamine replacement therapy and impulse control disorders (ICDs) in Parkinson disease (PD). Methods We used data from a multicenter longitudinal cohort of consecutive patients with PD with ≤5 years' disease duration at baseline followed up annually up to 5 years. ICDs were evaluated during face-to-face semistructured interviews with movement disorder specialists. Generalized estimating equations and Poisson models with robust variance were used to study the association between several time-dependent definitions of dopamine agonist (DA) use, taking dose and duration of treatment into account, and ICDs at each visit. Other antiparkinsonian drugs were also examined. Results Among 411 patients (40.6% women, mean age 62.3 years, average follow-up 3.3 years, SD 1.7 years), 356 (86.6%) took a DA at least once since disease onset. In 306 patients without ICDs at baseline, the 5-year cumulative incidence of ICDs was 46.1% (95% confidence interval [CI] 37.4–55.7, DA ever users 51.5% [95% CI 41.8–62.1], DA never users 12.4% [95% CI 4.8–30.0]). ICD prevalence increased from 19.7% at baseline to 32.8% after 5 years. ICDs were associated with ever DA use (prevalence ratio 4.23, 95% CI 1.78–10.09). Lifetime average daily dose and duration of treatment were independently associated with ICDs with significant dose-effect relationships. Similar analyses for levodopa were not in favor of a strong association. ICDs progressively resolved after DA discontinuation. Conclusion In this longitudinal study of patients with PD characterized by a high prevalence of DA treatment, the 5-year cumulative incidence of ICDs was ≈46%. ICDs were strongly associated with DA use with a dose-effect relationship; both increasing duration and dose were associated with ICDs. ICDs progressively resolved after DA discontinuation. ClinicalTrials.gov identifier: NCT01564992.
Optimal Code Regeneration with Background Traffic Awareness in Distributed Storage

In cloud storage systems a certain degree of data redundancy is important for data availability. Timely regeneration of corrupted or lost data shares is desired to meet the MTTR (mean time to recovery) reliability requirements as usually defined in Service Level Agreements (SLA). Current data regeneration techniques usually assume uniform and/or unlimited network capacity while ignoring the impacts of background traffics and cloud network architecture in practice. This paper proposes a more realistic regeneration strategy by taking these impacts into consideration. Specifically, our approach first extracts an information flow graph from BCube network architecture based on which the real-time network status is predicted using a Markov Chain model. The optimal code regeneration strategy is then formulated as a linear programming (LP) problem which minimizes the sub-flow rate on bottleneck links subject to the constraint of real-time network dynamics. Finally, a distributed multi-commodity flow dynamic routing (MFDR) approximation algorithm is proposed to solve the code regeneration LP. Simulation results indicate that the proposed distributed algorithm on average saves 16.5% data regeneration time of RCTREE and 45.3% of HDFS.
A conglomerate technique for finger print recognition using phone camera captured images

Fingerprints consists of unique features and predominantly used for individual authentication. Numerous procedures have been proposed for fingerprint recognition. However, the recognition performance is exceptionally varying according to the quality of images. The high accessibility of portable image capturing devices such as smartphone cameras made easy capturing of high-resolution images. In this paper, a conglomerative technique using minutiae extraction and core point detection (CP) are discussed for fingerprint recognition. The fingerprint region of the image is obtained by utilizing a skin-color based technique. Pre-processing is done in the form of image enhancement and binarization to enhance the quality of the fingerprint. The performances of fingerprint recognition using proposed technique are evaluated false acceptance rate, and false rejection rate and results are also compared with minutiae extraction algorithm. The results suggested that conglomerate approach works superior in most of the cases.
Listening to the screaming whisper: a voice of mother caregivers of children with autistic spectrum disorder (ASD)

ABSTRACT Purpose:This is a gap in knowledge related to leisure behaviours among mothers who have children with autistic spectrum disorder (ASD). This study intended to understand leisure behaviours associated with leisure constraints among these mother caregivers. Method: Using a series of semi- structured interviews, a total of 12 participants engaged in this study. Results: Our findings consisted of two sections: (1) leisure negotiation and (2) leisure constraints which are (a) a lack of time for themselves, (b) constant attention, and (c) difficulty in finding a helper. Conclusions: This study found that participants modified their leisure patterns as they sought to provide more recreational opportunities for their children. It suggests that participants negotiated their leisure choices and developed family adaptability related to family leisure in order to suit the desires and needs of their child with ASD.
Mapping conditions for the formation of high-performance scandate cathodes: New insights into the role of sc

TEM and SEM studies have shown that tungsten grains in low work function scandate cathodes are well-faceted and exhibit a characteristic shape consisting of (001), (110), and (112) surfaces. These surfaces appear with characteristic relative surface areas. The relative surface areas of facets expressed on a crystallite are controlled by the relative energies of each facet present. In turn, relative surface energies are controlled by the structure, composition, and chemical potential (equivalently, partial pressure) of species present in a cathode system— generally, in the case of scandate cathodes, Ba, Sc, O and W. Combining quantum mechanical calculations of the atomic structure and energy of Ba/Sc/O-adsorbed W facets with thermodynamic models of chemical potential dependent surface energies, we have screened a large number of possible surface configurations and chemical conditions to identify a small number of candidate structures and ranges of stability that are consistent with experimental observations. These results represent a map of chemical conditions necessary to yield experimentally observed cathode grain shapes, and suggest a role for Sc that explains both the superior thermionic emission properties of low work function scandate cathodes and manufacturing/reproducibility problems that have limited scandate cathode adoption by industry and the military.
Microfluidic Platform for Adherent Single Cell High-Throughput Screening

Traditionally, in vitro investigations on biology and physiology of cells rely on averaging the responses eliciting from heterogeneous cell populations, thus being unsuitable for assessing individual cell behaviors in response to external stimulations. In the last years, great interest has thus been focused on single cell analysis and screening, which represents a promising tool aiming at pursuing the direct and deterministic control over cause-effect relationships guiding cell behavior. In this regard, a high-throughput microfluidic platform for trapping and culturing adherent single cells was presented. A single cell trapping mechanism was implemented based on dynamic variation of fluidic resistances. A round-shaped culture chamber (Φ=250μm, h=25μm) was conceived presenting two connections with a main fluidic path: (i) an upper wide opening, and (ii) a bottom trapping junction which modulates the hydraulic resistance. Several layouts of the chamber were designed and computationally validated for the optimization of the single cell trapping efficacy. The optimized chamber layouts were integrated in a polydimethylsiloxane (PDMS) microfluidic platform presenting two main functionalities: (i) 288 chambers for trapping single cells, and (ii) a chaoticmixer based serial dilution generator for delivering both soluble factors and non-diffusive molecules under spatio-temporally controlled chemical patterns. The devices were experimentally validated and allowed for trapping individual U87-MG (human glioblastoma-astrocytoma epithelial-like) cells and culturing them up to 3 days.
Social-Aware Privacy-Preserving Correlated Data Collection

We study a privacy-preserving data collection problem, by jointly considering data reporters' data correlation and social relationship. A data collector gathers data from individuals to perform a certain analysis with a privacy-preserving mechanism. Due to data correlation, the data analysis based on the reported data can cause privacy leakage to other individuals (even if they do not report data). The data reporters will take such a privacy threat into account, owing to the social relationship among individuals. This motivates us to formulate a two-stage Stackelberg game: In Stage I, the data collector selects some individuals as data reporters and designs a privacy-preserving mechanism for a sum query analysis. In Stage II, the selected data reporters contribute their data with possible perturbations (through adding noise). By analyzing the data reporters' equilibrium decisions in Stage II, we show that given any fixed reporter set, only one data reporter with the most significant joint consideration of the social relationship and data correlation may add noise to his reported data. The rest of the data reporters will truthfully report their data. In Stage I, we derive the data collector's optimal privacy-preserving mechanism and propose an efficient algorithm to select the data reporters. We conclude that the data collector should jointly capture the impact of data correlation and social relation to ensure all data reporters truthfully reporting their data. We conduct extensive simulations based on random network and real-world social data to investigate the impact of data correlation and social network on the system. We find that the availability of social network information is more critical to the data collector compared with data correlation information.
Distribution Power System Reliability Assessment Considering Cold Load Pickup Events

Power system reliability measures for residential distribution networks have gained a lot of attention in recent years. This is due to the introduction of smart grids, where the quality of the delivered power becomes a crucial issue. In this paper, a new methodology to include cold load pickup (CLPU) events in the reliability assessment of power distribution systems is proposed. The developed methodology presents a platform to include CLPU events in the reliability assessment assuming an optimal systematic procedure is used to restore the affected load points. The methodology is applied on a test system using a state-of-the-art search technique named lightning search algorithm (LSA). The optimal plan takes into account electrical code protection system settings, system operation limits, and stochastic behavior of the load. The reliability indices for a base case without considering CLPU is compared with the case that considers CLPU assuming an optimal restoration. Both cases are compared further under fixed-restoration plans with different time intervals. The results demonstrate the effectiveness of the proposed methodology to improve the distribution network reliability by considering the CLPU events.
Quantitative analysis on the main elements in glass with laser-induced breakdown spectroscopy

In this paper, the major elements Si and Ba in glass are measured by a method of laser-induced breakdown spectroscopy. Q using pulsed Nd:YAG laser, the sample stage, digital delay controller, echelle spectrometer, ICCD detector and computer components consist the LIBS system. Choosing four glass samples made by manufacturing enterprises as the standard to obtain LIBS spectra. Combining with the free calibration analysis method, the Boltzmann curves of the main elements Si and Ba were established, which can calculate the elements Si and Ba of the sample accurately. The relative error of the contents of Si and Ba ranged from 4.96% to 10.12% and from 4.07% to 9.62%, respectively. The standard deviation of the contents of Si and Ba ranged from 0.38% to 1.29% and from 0.54% to 1.70%, respectively. T test results showed that there was no significant difference between the measured values and the actual values.
Bioremediation of Ocdf-contaminated Soils by Novel Bacterial Strain

In this study, effectiveness of using Pseudomonas mendocina NSYSU (P. mendocina NSYSU) on the bioremediation of octachlorinated dibenzofuran (OCDF)-polluted soils was evaluated through microcosm experiments and gene analys is under anaerobic conditions. The major tasks were to investigate the (1) feasibility of enhancing anaerobic OCDF dechlorination by P. mendocina NSYSU and lecithin, and (2) functional genes for the anaerobic biodegradation of OCDF. Results show that P. mendocina NSYSU was able to degrade OCDF through the anaerobic dechlorinating mechanisms. Results show that lecithin was used as the carbon source and OCDF desorption additive during the dechlorination of OCDF. Lecithin supplement could enhance the biodegradation rate of OCDF. Up to 68 and 61% of OCDF was removed after a 64-day operation with lecithin and nutrient broth supplement, respectively. Results indicate that primary substrate supplement is required for the enhancement of reductive dechlorination of OCDF. Five functional genes encoding the hydrolase in P. mendocina NSYSU were identified. The detected specific genes played important roles in OCDF dechlorination. Results reveal that a bioremediation system using P. mendocina NSYSU as the inocula would be a cost-effective and acceptable remedial system to remediate furan-polluted soils.
Forecasting and purchasing planning for shelf life-limited spare parts

Forecasting and Purchasing Planning for Shelf Life- Limited Spare Parts with a case study of company, purchasing spare parts from factories by selecting a forecasting method and applying a mathematical model. The purposes of this research are to improve the inventory quantity to be suitable for customers' demand, to reduce holding cost and to minimize the total inventory cost. In the past, the company operations didn't have purchasing planning strategy in the case study, the purchasing would be ordered when the inventory level is 0 that result shortage spare parts sometimes and the company had the policy about the spare parts with a limited 5-years lifetime. We propose a new strategy about applying a mathematical model for purchasing planning spare parts that minimize the total inventory cost by using a new safety stock (SS) and customers' demand that is the most accurate forecasting method with the lowest Mean Absolute Deviation (MAD) from 5 forecasting methods: 1) Moving Average, 2) Single Exponential Smoothing, 3) Double Exponential Smoothing, 4) Holt-Winters Smoothing, 5) Monte Carlo Simulation. Finally, the results of this study were found that the mathematical model for purchasing planning spare parts can prevent the inventory shortage problem, to reduce the quantity of expired spare parts and minimize the total inventory cost from the current purchases by 19.08%.
Image cryptography using RNS algorithm

To transmit images in open networks, a mechanism has been proposed in this paper which helps to send sensitive image files over an unreliable network. This method can be used to send image files from sender to receiver by encrypting and decrypting them. The proposed approach uses the suitable technique such as Pseudo Random Number Generation (PRNG) [2] and Chinese Reminder Theorem for creating shares and making process faster. The concept uses prime numbers for this purpose. Theoretical analyses and experimental results show that, there is significant reduction in time consumption.
The Mediating of Perceived Usefulness and Perceived Ease of Use: The Case of Mobile Banking in Yemen

While﻿there﻿are﻿a﻿wide﻿range﻿of﻿business﻿opportunities﻿available﻿via﻿mobile﻿technologies,﻿mobile﻿ banking﻿services﻿have﻿not﻿been﻿widely﻿accepted﻿by﻿bank﻿clients﻿in﻿Yemen. ﻿This﻿article﻿aims﻿to﻿test﻿the﻿ mediation﻿effect﻿of﻿TAM﻿core﻿constructs﻿between﻿the﻿external﻿factor﻿self-efficacy﻿and﻿the﻿intention. ﻿ Questionnaire﻿survey﻿data﻿collected﻿from﻿Four﻿hundred﻿and﻿eighty-two﻿valid﻿responses﻿from﻿bank﻿ clients. ﻿SEM﻿via﻿AMOS﻿was﻿utilized﻿to﻿determine﻿the﻿importance﻿levels﻿of﻿associations﻿and﻿interactions﻿ between﻿the﻿factors﻿tested. ﻿The﻿proposed﻿model﻿evidenced﻿by﻿goodness﻿of﻿fit﻿of﻿the﻿model﻿to﻿the﻿ data,﻿explained﻿81%﻿of﻿the﻿variance﻿in﻿intention. ﻿The﻿findings﻿of﻿the﻿multivariate﻿analysis﻿reveal﻿that﻿ self-efficacy﻿has﻿had﻿a﻿significantly﻿positive﻿affect﻿on﻿the﻿perceived﻿usefulness,﻿and﻿perceived﻿ease﻿of﻿ use. ﻿In﻿addition,﻿ease﻿of﻿use﻿and﻿usefulness﻿has﻿a﻿positive﻿important﻿direct﻿influence﻿on﻿the﻿intention. ﻿ Also,﻿usefulness﻿and﻿ease﻿of﻿use﻿mediated﻿the﻿relation﻿between﻿self-efficacy﻿and﻿intention. ﻿The﻿results﻿ of﻿the﻿current﻿article﻿might﻿give﻿further﻿insights﻿into﻿mobile﻿banking﻿strategies. KEYwoRDS Intention to Use Mobile Banking Services, Mediation, Mobile Banking, Self-Efficacy, Technology Acceptance Model (TAM)