Miracle-dz/UniFAR-FTUs huggingface dataset:
“Multicarrier Based SPWM Modulation for Diode Clamped MLI to reduce CMV and THD”

1M.Tech Scholar, RKDF IST, SRK University, Bhopal, M.P, India 2HOD, RKDF IST, SRK University, Bhopal, M.P, India 3,4B.Tech, JNTU Hyderabad ---------------------------------------------------------------------***---------------------------------------------------------------------Abstract Multilevel inverter has become most popular over the years in the area of high power medium voltage energy control. With the recent advancement in Power semiconductor switches, multilevel inverter fed induction motor drives are extensively used in industries. Common mode voltage (CMV) is the voltage measure between star point of load and system ground. CMV is produced in inverter causes current to flow through bearings which may cause premature failure of the motor bearings. This paper presents the reduction of CMV in Diode Clamped multilevel Inverter using multicarrier SPWM technique. A MATLAB Simulation of diode clamped multilevel inverter is presented by applying different multicarrier modulation techniques. CMV and THD are investigated.
Effects of acetylene on nitrification and denitrification in two soils during incubation with ammonium nitrate

Summary A loam from the Frilsham and one from the Wickham Series were incubated at 50 and 90 per cent of their water contents at saturation with 100 μg NH4NO3-Ng−1 soil in the presence and absence of C2H2 (0.5 per cent, v/v). Acetylene inhibited nitrification in both soils, but had no effect on mineralization of N. No denitrification (measured as the production of N2O in the presence of C2H2) occurred during incubation at 50 per cent saturation. At 90 per cent saturation, denitrification resulted in a loss of 28.4 and 36.7 μg Ng−1 after 48 h from the Frilsham and Wickham soils, respectively. The concurrent inhibition of nitrification had no effect on the extent of denitrification at this time. In the Wickham soil, NO3− was exhausted after 168 h incubation in the presence of C2H2 and denitrification was underestimated by 13 μg Ng−. The data suggested that concurrent inhibition of nitrification during measurement of denitrification using the C2H2 inhibition technique is most likely to affect the estimate of denitrification loss when NO3−supply is limited by the inhibition of nitrification.
INTELLIGENT TRAFFIC CONTROL IN HETEROGENEOUS NETWORKS USING DEEP LEARNING TECHNIQUES

Deep learning is a new emanating machine learning technique to intelligently control network traffic. Researches contemplate the small and medium scale networks. Applications of deep learning in the heterogeneous network has little research attention. In this paper, envision a deep learning structure, which employs the unsupervised learning algorithm to predict the traffic-based matrix. By using this algorithm, simulation result demonstrates that the computational complexity is substantially reduced and it can achieve improved performance in the large-scale heterogeneous network.
INFLUENCE OF POTASSIUM ON GROWTH, YIELD AND NUTRIENT UPTAKE ON BLACK GRAM (VBN-3)

A field experiment was conducted at farmer’s field in Sivapuri village, Chidambaram taluk, Cuddalore district, Tamilnadu, to study the effect of different levels of potassium on growth, yield, available nutrient and uptake in black gram. The treatments were T1 Absolute control, T2 Control (K), T3 12.5 kg of K2O ha -1, T4 25 kg of K2O ha -1, T5 -37.5 kg of K2O ha -1, T6 50 kg of K2O ha -1, T7 62.5 kg of K2O ha -1, T8 75 kg of K2O ha -1. The results of the experiment indicated that application of T6 50 kg ha-1 of K2O significantly increased the growth characters, nutrient uptake, yield and yield attributes of black gram.
Synergism between photochemical and ionizing radiation effects in MCF-7 cells in vitro

Both PtCl4 (Rh-123)2 and PtCl4 (Nile Blue)2 interact positively in trimodality therapy including each drug, x-ray, and light (400 - 800 nm) in killing human mammary carcinoma cells (MCF-7) in vitro. The combination treatment results in more than additive killing as assessed by product of the surviving fractions and a significant reduction of the shoulder of the x-ray survival curve. Both of the drugs participate in photodynamic therapy (PDT) in drug and light dose dependent manner. The primary subcellular targets for the neutral platinum complexes were indicated to be the nuclear DNA as opposed to the mitochondria for Rh-123 or the lysosomes for Nile Blue. Because the nuclear DNA is also the primary target for ionizing radiation, drug plus light plus x-ray might cause supraadditive killing. Both PtCl4 (Rh-123)2 and PtCl4 (Nile Blue)2 have been reported to be relatively non-toxic in vivo compared to the anionic or cationic compounds currently being used in photodynamic therapy. Based on these results PtCl4 (Rh-123)2 and PtCl4 (Nile Blue)2 have the potential for use in photodynamic therapy and in trimodality therapy.
Root size and nitrogen‐uptake activity in two maize (Zea mays) inbred lines differing in nitrogen‐use efficiency

Considerable differences in response to nitrogen (N) availability among plant species and cultivars have been well documented. Focusing on the uptake of N, it is not clear which factor or factors determine efficient N acquisition. Two maize (Zea mays L.) inbred lines (478, N-efficient; W312, N-inefficient) were used to compare the relative contribution of root uptake activity and root size to N acquisition. Nitrogen-efficient inbred 478 had higher yields and accumulated more N under field conditions than W312 under both high- (135 kg N ha–1) and low-N (no N supplied) conditions. The root system of 478, as indicated by total root length, root biomass, and root-toshoot ratio, was larger and more responsive to low N stress. Especially, 478 developed more and longer axial roots at low N stress. On the contrary, the average N-accumulation rate in 478 was lower than that of Wu312. In solution culture, 13NO3 – influx in 478 was lower than in W312 after 8 h of nitrate provision. The expression of nitrate-transporter genes ZmNRT1.1, ZmNRT2.1, ZmNRT2.2, and ZmNAR2.1 was stronger and lasted for a longer time after NO 3 induction in W312. It is concluded that the efficient N acquisition in 478 is due to (1) a larger root system and (2) a stronger response of root growth to low N induction.
A SIMULATION-OPTIMIZATION APPROACH FOR LOCATING AUTOMATED PARCEL LOCKERS IN URBAN LOGISTICS OPERATIONS

Experts propose using an automated parcel locker (APL) for improving urban logistics operations. However, deciding the location of these APLs is not a trivial task, especially when considering a multi-period horizon under uncertainty. Based on a case study developed in Dortmund, Germany, we propose a simulationoptimization approach that integrates a system dynamics simulation model with a multi-period capacitated facility location problem (CFLP). First, we built the causal-loop and stock-flow diagrams to show the APL system’s main components and interdependencies. Then, we formulated a multi-period CFLP model to provide the optimal number of APLs to be installed in each period. Finally, Monte Carlo simulation was used to estimate the cost and reliability level for different scenarios with random demands. In our experiments, only one solution reaches a 100% reliability level, with a total cost of 2.7 million euros. Nevertheless, if the budget is lower, our approach offers other good alternatives.
Self-supervised 4D Spatio-temporal Feature Learning via Order Prediction of Sequential Point Cloud Clips

Recently 3D scene understanding attracts attention for many applications, however, annotating a vast amount of 3D data for training is usually expensive and time consuming. To alleviate the needs of ground truth, we propose a self-supervised schema to learn 4D spatio-temporal features (i.e. 3 spatial dimensions plus 1 temporal dimension) from dynamic point cloud data by predicting the temporal order of sampled and shuffled point cloud clips. 3D sequential point cloud contains precious geometric and depth information to better recognize activities in 3D space compared to videos. To learn the 4D spatio-temporal features, we introduce 4D convolution neural networks to predict the temporal order on a self-created large scale dataset, NTU-PCLs, derived from the NTU-RGB+D dataset. The efficacy of the learned 4D spatio-temporal features is verified on two tasks: 1) Self-supervised 3D nearest neighbor retrieval; and 2) Self-supervised representation learning transferred for action recognition on a smaller 3D dataset. Our extensive experiments prove the effectiveness of the proposed self-supervised learning method which achieves comparable results w.r. t. the fully-supervised methods on action recognition on MSRAction3D dataset.
Smart E – Cane for the Visually Challenged and Blind using ML Concepts

---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Eyes are the organs through which one can recognize and identify the surroundings with. Sadly, there are people deprived of their sight. Sometimes, they can be effortlessly confused or obtain inadequate data because of which they can't complete their proposed work. This paper plans to show light on a proposed smart stick and wearable band which can offer help to the visually impaired in their movement by giving precise area subtleties and cause them to feel free. The Smart E–Cane will involve the essential and modern sensors for obstruction discovery and area-based input. The Smart E-Cane will also be able to detect a rise in surface level as the blind person is walking using machine learning and report back what kind of a raised surface is in front of him. This would be very useful when the person encounters an obstacle that is detected as a raised surface or object but doesn’t specify whether it is stairs, or an inclination, or a misplaced rock. This Smart E-Cane gives assurance of independency along with security when it comes to walking without assistance from another person.
Molecular materials for switchable nonlinear optics in the solid state, based on ruthenium-nitrosyl complexes

The promising class of (polypyridine-ruthenium)-nitrosyl complexes capable of high yield Ru–NO/Ru–ON isomerization is targeted as a potential molecular device for the achievement of complete NLO switches in the solid state. A computational investigation conducted at the PBE0/6-31+G** DFT level for benchmark systems of general formula [R-terpyridine-RuIICl2(NO)](PF6) (R being a substituent with various donating or withdrawing capabilities) leads to the suggestion that an isomerization could produce a convincing NLO switch (large value of the βON/βOFF ratio) for R substituents of weak donating capabilities. Four new molecules were obtained in order to test the synthetic feasibility of this class of materials with R = 4′-p-bromophenyl, 4′-p-methoxyphenyl, 4′-p-diethylaminophenyl, and 4′-p-nitrophenyl. The different cis-(Cl,Cl) and trans-(Cl,Cl) isomers can be separated by HPLC, and identified by NMR and X-ray crystallographic studies.
Effect of surface charge on the curvature elasticity of membranes

Within the Debye-Hiickel approximation we calculate the energy of the diffuse double layer of a charged membrane for planar, cylindrical, and spherical geometry. Comparing the three energies with the phenomenological formula for the curvature-elastic energy of fluid membranes, we find the electrical contributions to the bending rigidity, the elastic modulus of Gaussian curvature, and the spontaneous curvature. The same value for the modulus of Gaussian curvature is obtained from the stress profile of the flat membrane.
MOLECULAR DETECTION OF EIMERIA SPP. IN BUFFALOES IN AL- QADISSIYHA PROVINCE, IRAQ

Eimeria is an apicomplex protozoan which affects many species of wild and domestic animals and birds, including buffaloes. The study was designed for investigation Eimeria spp. in buffaloes by Molecular methods for the first time in Iraq. One hundred fecal samples of buffaloes were examined by Conventional PCR from different Al –Qadissiyha province in Iraq during December 2018, to end of August 2019. A total rate of infection were 66% (66/100). In relation to area of study including: AL-Sadeer, AL-Dagarha, Efk and AL-Sanyia with prevalence rate 76%, 68%, 60% and 60% respectively. There was no significant differences (p>0.05). Buffaloes females recorded highest rate 70.1% with Eimeria spp infection by PCR while males recorded lowest rate 57.5% without significant (difference P>0.05). The highest infection rate was observed at 1<year age group 73% (19/26), followed age groups  3 Years which recorded rate 61, 7% (21/34), while the lowest infection rate recorded in age group 1 to <3 years 56% (26/40). With significant difference (P>0.01). The months of study showed the highest prevalence rate in March 90.9% (10/11). While the lowest rate was recorded in January 45.4% (5/11). Without significant differences (p  0.05) among the months of study. Phylogenetic tree analysis of the common five Eimeria species (E. bovis, E. zurnii, E. cylindrica, E. subsphrica and candensis) has been disclosed using PCR technique in this study. The nucleotide sequence of the local Eimeria species has been registered by the national gene bank and has been assigned special codes.
RSLNV at the NTCIR-15 Dialogue Evaluation (DialEval-1) Task

In this paper, we present three models for the nugget detection and dialogue quality subtasks at the NTCIR-15 DialEval-1 task. Despite the recent progress in dialogue systems, we still face a number of unresolved challenges such as the dialogue system that often generates responses that cannot satisfy customers or responses that cannot help solve problems. Therefore, we submitted three models to the NTCIR-15 DialEval-1 task. The first model is run0: LSTM with attention-based dialog embedding, using a recurrent neural network with an attention layer to embed the previous dialogue context. The model used two representation vectors, an extracted dialogue context vector and a sentence vector of the target sentence. The second model is run1: transformer encoder architecture for English nugget detection. The third model is run2: BiLSTM with an attention layer that leverages the outputs of the BiLSTM to obtain a sentence-level representation. On the English dataset of nugget detection subtask, run0 model: LSTM with attention-based dialogue embedding outperforms the baseline, but on the Chinese dataset, it does not outperform the baseline. This suggests that attention-based dialog embedding is possibly helpful for a smaller English
On an Infectious Model for Default Crisis

In this paper, we look at the problem of modelling the temporal dependence of defaults and introduce a novel approach for describing the chain reaction of infectious defaults. We extend a Markov chain model for crisis management in epidemiology, namely, Greenwood’s model, to describe the chain reaction of infectious defaults of bonds across any pair of industrial sectors. The development of the extended version of Greenwood’s model contributes to the literature in two major aspects. First, it contributes to the credit risk literature by providing a new framework for measuring risk of a credit portfolio over the duration of a default crisis, called a default cycle. This is different from the traditional approach for risk measurement in which the time horizon is fixed, say one day or one week, and leads to a new dimension for risk management. Second, it provides a new model for crisis management in epidemiology by extending an important model in the field. We employ recursive formulae for the joint probability distributions of the duration of a default crisis and the number of defaults over the crisis. Moreover, we employ two important risk measures, namely, Value-at-Risk (VaR) and Expected Shortfall (ES), as proxies of risk over a default cycle. Numerical experiments are given to illustrate the practical implementation of the model and identify some main features of the model. We also perform empirical studies of the model using real default data and analyze the empirical behaviors of the risk measures arising from the model. Advanced Modeling and Applied Computing Laboratory, Department of Mathematics, The University of Hong Kong, Pokfulam Road, Hong Kong. E-mail: wching@hkusua.hku. hk. Research supported in part by RGC Grant 7017/07P, HKU CRCG Grants, HKU Strategic Research Theme Fund on Computational Sciences. Department of Actuarial Mathematics and Statistics, School of Mathematical and Computer Sciences and the Maxwell Institute for Mathematical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK. Advanced Modeling and Applied Computing Laboratory, Department of Mathematics, The University of Hong Kong, Pokfulam Road, Hong Kong. E-mail: liminli@hkusua.hku. hk Advanced Modeling and Applied Computing Laboratory, Department of Mathematics, The University of Hong Kong, Pokfulam Road, Hong Kong. E-mail: litang@hkusua.hku. hk Department of Statistics and Actuarial Science, The University of Hong Kong, Pokfulam Road, Hong Kong. Email: hrntlwk@hkucc.hku. hk
Main structural subdivisions and structural formulas of sulphate minerals

Main structural subdivisions of sulphate minerals and synthetic compounds were considered in the frame of a new structural classification of minerals, based on the strength distribution and directional character of the bonds. The specific features of their crystal chemistry were expressed by the corresponding structural formulas. The recommendations expressed by the Subcommittee on the Nomenclature of the Inorganic Structure Types of the IUCr Commission on the Crystallographic Nomenclature were also considered. Consequently the structural systematics of sulphates includes the following five main categories of structures: 1) atomic (or close-packed), 2) group, 3) chain, 4) sheet and 5) framework. Sulphate atomic structures occur mostly when individual atoms form either closest packing or any other close packing. In contrast to the present study this subdivision was not considered in all previous systematics of sulphate minerals. The next categories comprise the structures formed either by isolated SO 4 tetrahedra and MO n polyhedra with the M-O bond strengths comparable with those of the S-O bonds, or by the complex structural units, where SO 4 tetrahedra are linked to MO n polyhedra. The category of the structures, involving different types of structural units, corresponds to the structural unit with the highest dimensionality. Crystal chemical peculiarities of sulphates are revealed as a result of the structural systematics.
Humor Training Program on Sense of Humor among Older Adults: A Randomized Controlled Trial

Several studies have a well-documented positive association between sense of humor and physical and mental well-being in later life. However, there is evidence to indicate that sense of humor declines with age. This study was conducted to examine humor training program on the sense of humor among older adults. This community-based randomized controlled trial study was conducted in 2019. There were 18 older adults in the intervention group and 20 older adults in the control group. The intervention group received the 7 Humor Habits Program in eight training sessions, whereas the control group was waitlisted. The Multidimensional Sense of Humor Scale (MSHS) was used to measure the sense of humor before and after the intervention. A series of paired samples t-tests and difference-in-differences approach using IBM SPSS Version 23.0 were conducted to assess changes from pre-test to post-test. The significance level of p ≤ . 05 was considered for the statistical analysis. The mean age of the participants in the intervention and control groups was 66.50, (SD=6.14) and 67.60, (SD= 5.64) years, respectively. The results of a series of paired samples t-tests revealed a statistically significant increase in the total score of sense of humor from pre-test (M =77.28, SD = 13.62) to post-test (M=101.11, SD=17.06), (t= -6.77, p<.001), in intervention group. Other paired samples t-tests showed statistically significant changes from pre-test to post-test for subscales of humor including enjoyment of humor (t= -4.59, p<.001), laughter (t= -7.83, p<.001), verbal humor (t= -4.73, p<.001), finding humor in everyday life (t= -4.19, p<.001), laughing at yourself (t= -6.36, p<.01), and humor under stress (t= -2.54, P≤.05) in intervention group. Moreover, the results of the difference-in-differences approach revealed a significant increase in the sense of humor for the intervention group compared to the control group (F=43.54, p<.001). No statistically significant changes were observed in any outcome variables in the control group. The results of this study provided support that the sense of humor can be improved using a training program in later life.
MOLECULAR CHARACTERIZATION OF PATHOGENIC BACTERIA ISOLATED FROM URINARY TRACT INFECTION

Four isolates were obtained from urinary tract infections that belong to Escherchia coli, Klebsiella pneumoniae, Proteus mirabilis and Pseudomonas aeruginosa. These microorganisms were identified phenotypically by oxidase, catalase, urease, indole, methyl red, Voges-Proskauer and citrate tests. As a molecular typing and characterization tool, enterobacterial repetitive intergenic consensus polymerase chain reaction (ERIC-PCR) was employed in which different bands in number and size were obtained. In order to identify nitrogen fixation ability of isolates, only K. pneumoniae was shown to have this ability as PCR targeting nifDK were carried out.