Miracle-dz/UniFAR-FTUs huggingface dataset:
The Cytochrome P 450 Complement ( CYPome ) of Leishmania Leads to the Discovery of a Plant like Cytochrome P 450 Sub-family CYP 710 C 1 Gene

The Cytochrome P450 Complement (CYPome) of Leishmania Leads to the Discovery of a Plant like Cytochrome P450 Sub-family CYP710C1 Gene RUBY BANSAL1, HIMANSHU BHUSAN SAMAL2, V S GOWRI1, SHIB SANKAR SEN1, INDIRA GHOSH2 and RENTALA MADHUBALA 1,* 1School of Life Sciences, Jawaharlal Nehru University, New Delhi 110 067, India 2School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi 110 067, India
Working Paper Series The Magnetism of Suburban Shopping Centers : Do Size & Cineplex Matter ?

Purpose – This paper aims to address two questions related to the magnetism or drawing power of suburban malls: first, does physical size matter, and second, what is the externalities effect of housing a Cineplex within a shopping center? Design/methodology/approach – The study was carried out through an extensive survey covering 1,283 shoppers in nine selected suburban shopping centers in Singapore. The effects of physical size and the presence of Cineplex on the magnetism on the selected suburban shopping centers are evaluated using analysis of variance (ANOVA) tests. Their effect on shopping duration and expenditure pattern is also empirically tested using a recursive simultaneous equations model. Findings – The survey results affirm that both physical size and the presence of a Cineplex enhance the magnetism of suburban shopping centers. A larger shopping center can facilitate a greater variety of shops and create a more pleasant environment for the shoppers, thus enticing shoppers to visit and stay longer. Cinema patrons prefer to watch movies at Cineplex located in shopping centers. Controlling for the endogenous relationship between duration of visit and amount spent in the shopping center, the regression results show that, while physical size and Cineplex have a positive effect on the duration of visit, they do not necessarily have a direct effect on the amount spent by the patrons in the shopping center. Originality/value – One of the main challenges for mall owners and managers located outside the traditional shopping belt is how to attract shoppers to patronize their malls. While the impact of shopping center size on retail rents and center attractiveness has been addressed in the literature, this paper adds some new insights into the field. The focus on whether the presence of a cinema complex within a shopping center affects its magnetism or not is novel.
Kobe University Repository : Kernel タイトル Tit le Realizat ion of lepton masses and mixing angles from point interact ions in an extra dimension 著者

We investigate a model on an extra dimension S1 where plenty of effective boundary points described by point interactions (zero-thickness branes) are arranged. After suitably selecting the conditions on these points for each type of five-dimensional fields, we realize the tiny active neutrino masses, the charged lepton mass hierarchy, and lepton mixings with a CP-violating phase, simultaneously. Not only the quark’s but also the lepton’s configurations are generated in a unified way with acceptable accuracy, with neither the see-saw mechanism nor symmetries in Yukawa couplings, by suitably setting the model parameters, even though their flavor structures are dissimilar each other. One remarkable point is that a complex vacuum expectation value of the five-dimensional Higgs doublet in this model becomes the common origin of the CP violation in both quark and lepton sectors. The model can be consistent with the results of the precision electroweak measurements and Large Hadron Collider experiments.
C O ] 2 J ul 2 01 8 Constructions of Augmented Orthogonal Arrays ∗

Augmented orthogonal arrays (AOAs) were introduced by Stinson, who showed the equivalence between ideal ramp schemes and augmented orthogonal arrays (Discrete Math. 341 (2018), 299307). In this paper, we show that there is an AOA(s, t, k, v) if and only if there is an OA(t, k, v) which can be partitioned into v subarrays, each being an OA(s, k, v), and that there is a linear AOA(s, t, k, q) if and only if there is a linear maximum distance separable (MDS) code of length k and dimension t over Fq which contains a linear MDS subcode of length k and dimension s over Fq. Some constructions for AOAs and some new infinite classes of AOAs are also given.
Targetless calibration for vehicle mounted cameras - In planar motion using visual odometry

The implementation of advanced driving systems has become a common feature in modern vehicles and a reassurance for the driver to help respond and intervene in critical situations. As assisting systems in vehicles continue to evolve and the need to handle more complex situations, the requirement of more data from the surrounding increases, which relies on the amount of sensors mounted on the vehicle. This however will give rise to the need of new ways to automatically calibrate cameras as of today they are being calibrated manually in a staged environment. This thesis present an unsupervised method for extrinsic calibration of cameras mounted on a planar moving vehicle using visual odometry. The method uses hand-eye calibration by the relative motion between the camera and the vehicle. The method has been tested and verified on test data from KITTI Vision Benchmark. Real data provided by and in cooperation with Zenuity has been implanted, but needs some improvement to provide a good result. As planar motion does not provide sufficient information for a full calibration of all 6-DoF, which represents the extrinsic calibration, other methods of estimating the remaining three parameters are briefly included in future work as a continuation of a full unsupervised calibration. The result shows that the algorithmic approach can determine the general region of which the camera is located, but is unable to accurately find its absolute position. It is depending on a more accurate estimation of the scale parameters and probably also the estimation from the visual odometry.
Recommender system for food in a restaurant based on Natural Language Processing and Machine Learning

Millions of customers post online reviews in the form of their own experience at restaurants. Some are positive while some are negative. Usually an overview of all the reviews is provided on the respective restaurant page. But this approach is hardly accurate or efficient. This research analyzes user reviews in restaurant domain, and then consolidates the information recommending the best dishes served to a customer at a restaurant. The system is developed using modern NLP techniques such as sentiment lexicon, sentiment scores, POS tagging to generate useful features and classify the information using Machine Learning classification algorithms such as KNN, Random Forest and SVM. The system achieved more than 93% accuracy across various experiments, with Random Forest performing best for the given dataset and SVM giving the best performance with a cross-validated dataset.
Optimization Modeling and Machine Learning Techniques Towards Smarter Systems and Processes

The continued penetration of technology in our daily lives has led to the emergence of the concept of Internet-of-Things (IoT) systems and networks. An increasing number of enterprises and businesses are adopting IoT-based initiatives expecting that it will result in higher return on investment (ROI) [1]. However, adopting such technologies poses many challenges. One challenge is improving the performance and efficiency of such systems by properly allocating the available and scarce resources [2, 3]. A second challenge is making use of the massive amount of data generated to help make smarter and more informed decisions [4]. A third challenge is protecting such devices and systems given the surge in security breaches and attacks in recent times [5]. To that end, this thesis proposes the use of various optimization modeling and machine learning techniques in three different systems; namely wireless communication systems, learning management systems (LMSs), and computer network systems. In particular, the first part of the thesis posits optimization modeling techniques to improve the aggregate throughput and power efficiency of a wireless communication network. On the other hand, the second part of the thesis proposes the use of unsupervised machine learning clustering techniques to be integrated into LMSs to identify unengaged students based on their engagement with material in an e-learning environment. Lastly, the third part of the thesis suggests the use of exploratory data analytics, unsupervised machine learning clustering, and supervised machine learning classification techniques to identify malicious/suspicious domain names in a computer network setting. The main contributions of this thesis can be divided into three broad parts. The first is developing optimal and heuristic scheduling algorithms that improve the performance of wireless systems in terms of throughput and power by combining wireless iii resource virtualization with device-to-device and machine-to-machine communications. The second is using unsupervised machine learning clustering and association algorithms to determine an appropriate engagement level model for blended e-learning environments and study the relationship between engagement and academic performance in such environments. The third is developing a supervised ensemble learning classifier to detect malicious/suspicious domain names that achieves high accuracy and precision.
High-quality depth maps acquisition for RGB-D data

With the developing of computer vision, the problem of high-quality depth map acquisition is demanding urgent solution. Generally, the methods for dense depth map acquisition consist of two categories: passive and active. The passive methods based on stereo matching algorithms always compute matching cost volume pixel by pixel, which is time-consuming. This thesis firstly proposes a local depth estimation method using adaptive matching scheme. Furthermore, with the help of affine invariant feature, the performance for matching in textureless regions is improved. Experimental results show that the proposed method can achieve better or comparable performances than the state-of-the-art method in the category of local methods, even with the less running time. In addition, since the depth map is estimated frame by frame, the temporal consistency cannot be guaranteed. This thesis proposes a method to enhance temporal consistency by applying adaptive temporal filtering, which explicitly considers the reliability of depth and the moving attribute of regions. Experiments demonstrate that the proposed algorithm can generate more stable depth sequences and effectively suppress the transient depth errors when rendering virtual images. Due to the inherent drawbacks of stereo matching, the depth map captured by sensors is more robust, especially for the textureless regions. However, it either suffers from low resolution, or has some holes on the depth map. Active methods are to solve these problems. Since low-quality depth map is always captured with a high-quality color or intensity image and they can be registered with each other on the same coordinate system, low-quality
Prevalence of household food insecurity among a healthy Iranian population: A systematic review and meta-analysis

Background Food security is a fundamental human right that must be upheld to preserve excellent general welfare, and mental, physical, and social health. However, according to the United Nations Food and Agriculture Organization (FAO) report in 2020, the level of food insecurity in the world is increasing. Objective Determining the prevalence of food insecurity in Iran will be beneficial for Iran and other low-middle-income countries. Methods We searched both English and Persian (Iranian) databases including PubMed, Scopus, Web of Science, Google Scholar, SID, Irandoc, Magiran, Civilica, and Iranian Medical Sciences Theses System from 01 January 1990 to 01 February 2022. Observational studies that reported the prevalence of household food insecurity among a healthy Iranian population and assessed food insecurity at the individual or household level using validated questionnaires were included. Results One hundred six studies and/or theses with a total of 152, 300 participants met the review criteria. Our analyses demonstrated that the prevalence of food insecurity among the healthy Iranian population was 55.9% (95% CI: 52.6–59.2%) and the highest prevalence of food insecurity was in the western regions with 64.8% (95% CI: 57.7–72.0%). Subgroup analyses showed that food insecurity among women at 51.3% (95% CI: 45.1–57.6%) and rural inhabitants at 66.1% (95% CI: 58.8–73.4%) was significantly higher than men at 47.8% (95% CI: 41.8–53.8%) and urban residents at 47.1% (95% CI: 44.1–50.0%), respectively. Among the age groups, the highest prevalence of food insecurity was in adults at 56.5% (95% CI: 51.7–61.2%). Conclusion The prevalence of food insecurity in a healthy Iranian population was higher than the global average. Women, rural residents, and residents of the western regions of Iran had a higher prevalence of food insecurity. These groups should be prioritized in programs to reduce the prevalence of food insecurity in Iran. Systematic review registration www.crd. york.ac. uk/PROSPERO, identifier: CRD42022328473.
Ultrasonic NDT optimization using Randomized Adaptive Differential Evolution

Ultrasonic non-destructive testing (UT) enables to control the integrity of critical parts. The design of transducers and the optimization of inspection procedures might be involved tasks due to the possibly large number of parameters to consider. For complex configurations, experts generally have to perform a parametric study using simulation tools, which can be time-consuming and fastidious. Here, an automatic method for the optimization of inspection parameters (positioning, setting and/or designing the transducer) is proposed. It uses an evolutionary algorithm linked with forward modelling algorithms that are already implemented in the ultrasonic module of CIVA. The method is then successfully tested on a realistic UT application of nozzle inspection, and further extended to handle constraints and achieve specific accuracy in order to optimize the design of a transducer.
Big Data Processing With Minimal Delay and Guaranteed Data Resolution in Disaster Areas

Big data analysis is very important to support rescue activities when natural disaster happens, through understanding various situations, such as power/water outage regions. The traditional way to process big data is based on high-performance computation/storage resources in a cloud center. However, this is hard to be guaranteed in a disaster scenario due to destruction of communication infrastructure. Meanwhile, high latency between local sensing devices and cloud center sets a big obstacle enabling a near real-time big data analysis. On the other hand, movable base station, such as vehicle-based movable & deployable ICT resource unit (MDRU) developed by NTT, is a possible solution to reconstruct an emergency communication network and process data at the edge sites with reduced data transmission time. In this paper, we study the optimal overall delay in a fog/edge-computing platform constructed by vehicle-based MDRUs with guaranteed data resolution. We formalize the problem as a mixed-integer nonlinear program, which is a well-known NP-hard problem, and then relax the original problem to an mixed integer linear programing (MILP). Finally, we propose a two-stage heuristic algorithm to solve it in a time-efficient manner. Through evaluation, the effectiveness of the proposed heuristic approach has been validated in terms of minimizing overall delay with sufficient given data resolutions.
High Speed Soft Decision Decoding of Linear Codes Based on Hash and Syndrome Decoding

: Digital transmission systems carry information from the source to the receiver using a physical medium such as cable, fiber optic or even propagation on a radio channel which isn’t entirely reliable and causes the change of data originally emitted. Today the use of error correcting codes for protection and correction becomes an integral part in the design of communication systems and computers. In this work, we present a new interesting way to accelerate the decoding process of linear codes. The proposed method called Soft Decision Decoder by Hash Techniques (SDHT) is based on syndrome-decoding algorithm and hash techniques. The use of this latest allows reducing considerably the search time of all possible error patterns of weights less than a fixed threshold. SDHT is applicable on many linear codes and exploit the polynomial form to reduce again the run time decoding for cyclic codes. SDHT is successfully applied to decode some Bose Ray-Chaudhuri and Hocquenghem (BCH), Quadratic Residue (QR) and Extended Quadratic Residue (EQR) codes. The simulation results show that the proposed SDHT yield to good error correcting performances with reduced complexity. The comparison between SDHT and many competitors shows that it gives better performances in terms of correction rate. The experimental study of the decoding steps for the BCH(63,45,7) code shows that the time search of the most likely error pattern is reduced at about 26214153% comparing to an exhaustive search of all possible error patterns of weights less than or equal to 4. This study proves the huge success of the proposed SDHT decoder.
The Usage of Automatic Identification System (AIS) Data for Safety during Navigation

Estimation of safety on navigation by using safety distance formulation of sea transport is possible with by using data from the Automatic Identification System (AIS). Based on AIS data can be calculated the safety distance and actual distance of the target ship and also closest ship Calculation of safety distance and actual distance of the ship using AIS data closer to the real condition because AIS data provide ship data (time and location) as real-time. This study showed that calculation of safety distance is able to cover all speed more than 5 knots. The results show several ships from 295 total numbers of ships through the Strait of Malacca on 15th November 2013, 8.00 pm until 9.00 pm in danger condition but need to refer to the type of the ship also by using the information from the references website. The ships under the Singapore flag contribute the highest values from the total quantity of the marine traffic on 15th November 2013, 8.00 pm until 9.00 pm follow by Panama, Liberia and Marshall Island. The most high-risk time which danger to the marine transportation and shipping traffic in the Strait of Malacca.
Circumnuclear star-forming rings in galaxies as a late stage of decoupled nucleus formation

Abstract During our study of chemically decoupled galactic nuclei, we have found that they are often surrounded by compact circumnuclear stellar disks. In NGC 1023 and 7331, where intermediateage stellar populations dominate in the chemically decoupled nuclei, we have also detected an age difference between the nuclei and circumnuclear disks, the nuclei being older by 2–3 Gyr. Since the magnesium-to-iron ratios are also lower in the disks, we conclude that a secondary star formation burst may start simultaneously over an extended central area, finish soon in the very center and continue for several billion years in the circumnuclear rings. We have caught one galaxy at the moment of this late stage of decoupled nucleus formation, namely, during intense star formation in the circumnuclear ring: it is the giant elliptical galaxy NGC 759.
Compact Gauge Fields for Supersymmetric Lattices

We show that a large class of Euclidean extended supersymmetric lattice gauge theories constructed in [hep-lat/0302017 - hep-lat/0503039] can be regarded as compact formulations by using the polar decomposition of the complex link fields. In particular, the gauge part of the supersymmetric lattice action is the standard Wilson action. This formulation facilitates the construction of gauge invariant operators.
Nucleon Mass Splitting at Finite Isospin Chemical Potential

We investigate nucleon mass splitting at finite isospin chemical potential in the frame of the two-flavour Nambu-Jona-Lasinio model. It is analytically proven that in the phase with explicit isospin symmetry breaking, the proton mass decreases and the neutron mass increases linearly in the isospin chemical potential.
Reversal of the amplitude difference of kHz QPOs in six atoll sources

Context. Several models have been proposed to explain the twin kilohertz quasi-periodic oscillations (kHz QPOs) detected in neutronstar low-mass X-ray binaries; but when confronting theory with observations, not much attention has been paid so far to the relation between their amplitudes. Aims. For six neutron-star atoll sources (namely 4U 1608-52, 4U 1636-53, 4U 0614+09, 4U 1728-34, 4U 1820-30, and 4U 1735-44), we investigate the relationship between the observed fractional rms amplitudes of the twin kHz QPOs. We discuss whether this relationship displays features that could have a physical meaning in terms of the proposed QPO models. Methods. We consider the difference in rms amplitude between the upper and lower kHz QPOs as a function of the frequency ratio R = νU /νL. We compared two data sets. Set I is a collection taken from published data. Set II has values for the rms amplitudes obtained by automatic fitting of all RXTE-PCA observations available up to the end of 2004, corresponding to continuous segments of observation. Results. For each of the six sources, we find that there is a point in the R domain around which the amplitudes of the two twin kilohertz QPOs are the same. We find such a point located inside a narrow interval R = 1.5 ± 3%. Further investigation is needed in the case of 4U 1820-30 and 4U 1735-44 to explore this finding, since we have not determined this point in Set II. There is evidence of a similar point close to R = 1.33 or R = 1.25 in the four sources 4U 1820-30, 4U 1735-44, 4U 1608-52, and 4U 1636-53. We suggest that some of these special points may correspond to the documented clustering of the twin kHz QPO frequency ratios. Conclusions. For the sources studied, the rms amplitudes of the two twin peaks become equal when the frequencies of the oscillations pass through a certain ratio R, which is roughly the same for each of the sources. In terms of the orbital QPO models (of both the hot-spot and disc-oscillation types), with some assumptions concerning the QPO modulation mechanism, this finding implies the existence of a specific orbit at a particular common value of the dimensionless radius, at which the oscillations corresponding to the two twin peaks come into balance. In a more general context, the amplitude difference behaviour suggests a possible energy interchange between the upper and lower QPO modes.
Generalized accumulated GM(1,1) cosine model and its application

Purpose – In practical engineering, there are various sequences. The purpose of this paper is to improve and put forward a new model.Design/methodology/approach – Based on the generalized accumulated generating operation, the paper improved the GM(1,1) cosine model and proposed the GAGM(1,1) cosine model.Findings – It is found that the GAGM(1,1) cosine model can satisfy many kinds of periodic sequences and the precision of GAGM(1,1) cosine model is higher than the GM(1,1) model.Originality/value – The paper shows that the GAGM(1,1) cosine model has important theoretic and practical significance.
Aliasing of polynomial-phase signal parameters

Aliasing of sampled monocomponent polynomial-phase signals is investigated. The results are applicable to general sampling schemes, and it is shown that aliasing can be avoided by sampling the signal nonuniformly in time. Examples illustrate how this property can be exploited in Doppler radar in order to avoid ambiguity in estimates of the kinematic parameters of the target.