Miracle-dz/UniFAR-FTUs huggingface dataset:
The structural landscape of heteroaryl-2-imidazoles: competing halogen- and hydrogen-bond interactions

In order to examine the competition between hydrogen bonds and halogen bonds when confronted with a probe molecule containing multiple potential acceptor sites and one hydrogen-bond donor, five heteroaryl-2-imidazoles were synthesized and subsequently co-crystallized with fifteen different halogen-bond donors. 30 of the 75 experiments resulted in the formation of co-crystals, and fifteen of these produced crystals were suitable for single-crystal X-ray diffraction analysis. A systematic analysis of the primary intermolecular interactions in these fifteen structures shows that the halogen bond is formed with the best acceptor site (as predicted by DFT molecular electrostatic potential surface calculations) demonstrating that a suitably activated iodine-based halogen-bond donor can compete with a strong hydrogen-bond donor in the directed assembly of molecular solid-state architectures.
Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing

Machine Learning-based Anomaly Detection approaches are efficient tools to monitor complex processes. One of the advantages of such approaches is that they provide a unique anomaly indicator, a quantitative index that captures the degree of ’outlierness’ of the process at hand considering possibly hundreds or more variables at the same time, the typical scenario in semiconductor manufacturing. One of the drawbacks of such approaches is that Root Cause Analysis is not guided by the system itself. In this work, we show the effectiveness of a method, called DIFFI, to equip Isolation Forest, one of the most popular Anomaly Detection algorithms, with interpretability traits that can help corrective actions and knowledge understanding. Such approach is validated on real world semiconductor manufacturing data related to a Chemical Vapor Deposition process.
Structure and Control of Thermoacoustic Instabilities in a Gas-turbine Combustor

Thermoacoustic instability was investigated and controlled in an experimental low-emission swirl stabilized combustor, in which the acoustic boundary conditions were modified to obtain combustion instability. Several axisymmetric and helical unstable modes were identified for fully premixed and partially premixed/diffusion combustion. These unstable modes were associated with flow instabilities related to the recirculation region on the combustor axis and shear layer instabilities at the sudden expansion (dump plane). The spatial locations of the intense combustion regions associated with the different unstable modes were visualized by phase locked images of OH chemiluminescence. The axisymmetric mode showed large variation of the heat release during one cycle, while the helical modes showed variations in the radial location of maximal heat release. A closed loop active control system was employed to suppress the thermoacoustic pressure oscillations and to reduce NO x emissions. Microphone and OH emission.
EFFECT OF USE OF DIFFERENT LEVELS OF CARAWAY SEED (CARUM CARVI L.) POWDER ON SOME PHYSIOLOGICAL CHARACTERISTICS OF JAPANESE QUAIL

The present study was investigated the effect of adding different levels of Carum carvi L. seed powder to diet in some physiological characteristics of Japanese quail birds. One hindered and eight birds of Japanese quail were used (40 days old) randomly distributed to four experimental groups with 27 birds per group each one with three replicates of 9 bird and sex ratio 1: 2. The first group was fed on an experimental diet and considered as control, while the second, third and fourth groups were fed on the experimental diet plus 4, 6 and 8 g/kg of Carum carvi L. seed powder, respectively. The results showed no significant differences in the relative weights of the testes, ovaries and oviduct, as well as LDL levels, while significant differences were found among the groups in the cholesterol concentration as the third group was the highest difference of significance compared to the first group which was recorded the lowest significant difference. The fourth group was the highest difference in the concentration of triglycerides compared to the first group which recorded the lowest significant difference, the third group showed the highest difference in HDL concentration compared to the second and first group. The third group showed the highest difference of VLDL concentration compared to the other experimental groups. Also, males blood cholesterol level was higher then that of females. We conclude from the present study that the addition of Carum carvi L. seed powder at a levels of 4, 6 and 8 g/kg to the diet was not affect the growth and development of gonads, as will as, led to high level of blood lipids.
Image Colorization using Self attention GAN

- The problem of coloring of grayscale images is highly ill posed due to large degrees of freedom available while assigning colors. In this paper, we use Deep Learning based Generative Adversarial Networks to produce one of the plausible colorization of black and white images. Many of the recent developments are based on Convolutional Neural Networks(CNNs) which required large training dataset and more resources. In this project, we attempt to extend GAN using self-attention capability to colorize black and white images that combines both global priors and local image features. We also suggest efficient training strategies for better performance. This model works on different types of images including grayscale images and black and white images which are hundred years old.
A NOVEL APPROACH FOR SOFTWARE DEFECT PREDICTION BASED ON DIMENSIONALITY REDUCTION

---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - Software Defect Prediction is an essential aspect to ensure software quality. Deep Learning techniques can also be used for the same. In this paper, we propose to extract a set of expressive features from an initial set of necessary change measures using Artificial Neural Network (ANN), and then train a classifier based on the extracted features using Decision tree and compare it to three other methods wherein features are derived from a set of initial change measures using dimensionality reduction techniques that include Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) and Kernel PCA. We use five open-source datasets from NASA Promise Data Repository to perform this comparative study. For evaluation, three widely used metrics: Accuracy, F1 scores and Areas under Receiver Operating Characteristic curve are used. The Artificial Neural Network is considered to be outperformed all the other dimensionality reduction techniques. Kernel PCA performed best amongst the dimensionality reduction techniques.
Pengaruh Introgresi Lokus Pup1 terhadap

The lack of soil-phosphorus (P) element will result in plant growth retardation. Plants could survive in P deficiency stress by increasing the ability of P uptake or by increasing the efficiency in the P utilization. The aims of this study were to understand genetic composition of rice genotypes possessing Pup1 locus and to know root and leaf growth responses at different P availability condition. The three rice genotypes (IR74, IR74-Pup1, and Kasalath) were analyzed for their genetic composition using SNP markers. The phenotypic experiment was arranged using a Completely Randomized Design with four replications and performed hydroponically in nutrient solution with different availability of P. The result showed that IR74-Pup1 had 84.4% similarities to its parent (IR74) with 13.6% of donor segments, where the Pup1 locus located. The influence of Pup1 locus introgression on total length, surface area, diameter, and volume of the root varied at each growth stage. IR74 and IR74-Pup1 had root and leaf growth restriction on low P, but Pup1 locus introgression showed better growth performance, both in normal P and in low P conditions. The introgression of Pup1 locus increases plant ability to reduce the impact of growth inhibition caused by P deficiency.
Airfoil Iterative Design for Maximum Aerodynamic Performance at Low Reynolds number

B. Tech Student, Department of Mechanical Engineering-PES University, Bangalore – 560085, Karnataka, India 2Assistant Professor-PES University, Bangalore– 560085, Karnataka, India ---------------------------------------------------------------------***---------------------------------------------------------------------Abstract – The improvisation of the aerodynamic efficiency of airfoils in a restricted environment is the goal of the research. The parameter considered for enhancement was aerodynamic efficiency. Nine different airfoils were generated Through inverse design method. The Reynolds number for the analysis is an optimum value at which the wind turbine blades function. The analysis was made using an opensource software XFLR5 V6 and MATLAB R2019a. After the iterations, the final airfoil generated has a subsequent increase in the aerodynamic efficiency with a small difference in angle of attack from the first reference airfoil. The final airfoil can be used for many low speed applications such as wind turbine blades for maximum aerodynamic efficiency.
EPR Study of Impurity‐Related Color Centers in Germanium‐Doped Quartz

Since aluminum and germanium are two of the most easily incorporated impurities in crystalline quartz, the relationship of the color centers produced by x irradiation to these elements has been studied extensively. Previous work based on irradiation at 300°K has indicated that one type of electron‐deficient center is produced at aluminum, two kinds of electron‐excess centers are associated with germanium, and local charge neutrality is maintained by the insertion of an interstitial Na+ or Li+ ion at the germanium site. We have studied this system after irradiation at 77°K by conventional methods of EPR spectroscopy (9500 Mc/sec) and have discovered a new set of low‐temperature centers associated with these impurities. By identification of nuclear hfs and modification of the interstitial content through diffusion in an electric field, it is established that the same number of species is produced under these conditions but that the interstitial is located at the aluminum site. Detailed observations on the g.
A survey on Recognition of Handwritten ZIP Codes in a Postal Sorting System

---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract – Handwritten digit recognition has a wide range of research in many fields like postal services, automatic bank cheques processing, license plate detection etc. In this paper , we explain about the offline Handwritten digit recognition system by using CNN(Convolution neural network) in object recognition and classifying them in a certain category. After all the recognition process is completed, training and testing the machine, data is taken from the MNIST database. The performance of the machine is measured in terms of accuracy, sensitivity and specificity.
PREDICTED VOLTINISM FOR SACCHARICOCCUS SACCHARI (COCKERELL) (HEMIPTERA: PSEUDOCOCCIDAE) ON SUGARCANE IN EGYPT

The experimental study was accomplished in Upper Egypt's El-Mattana Agricultural Research Station, Luxor Governorate, Agricultural Research Centre, Giza Egypt (25° 41'0"N, 32° 39'0"E). The spring sugarcane was planted in late Mar by using GT54-9. Each plot had an area of 42 m (1/100 feddan, 6 m ridges, 7 m long and 1 meter long). Plant samples (30 stalks / plot) were randomly observed at half-month intervals up to harvest using three replicates. The current study concerned four methods for estimating annual S. sacchari (SS) generations under two techniques as follows: heat unit (Richmond et al., 1983 method & Jasic Process (1975) Method and population densities techniques (Actual appearance peaks method and Audemard and Milaire (1975) method. In general, during the current plant (PC) and 1 ratoon crops (1RC) seasons, the generation number was 4-6 and 5-7 generations respectively. However, SS had 4-7 and 5-8 generations during PC and 1RC in future predictions, respectively. Whereas for both seasons tested, the highest generation numbers were recorded at 6 °C climate sensitivity over the 2050 and 2100 seasons. From the above findings, SS had Multivoltine (polyvoltine). The generation number of SS will increase one generation in 2100 for PC and 1RC. Jasic method gained 2 generation more than Richmond et al. Method. The low-temperature cycles below 20 degrees did not allow the generation to complete. This study ascertained the generation number that can be beneficial for expecting infestation with SS during current and future. After everything this study will help the researchers to uncover the critical areas of generation number that many researchers were not able to explore. Moreover it is desirable to apply more than one method to count any object's generation number.
Radiation sensitivity of sesame (Sesamum indicum L.) genotypes in M1 generation

The present study investigated the gamma ray sensitivity of two sesame (Sesamum indicum L.) varieties viz., SVPR1 and TMV7 irradiated with five different doses from 250 Gy to 450 Gy at 50 Gy intervals. Germination percentage, root and shoot length, pollen fertility (%) decreased gradually and observed a dose dependent relationship with an increase in dosage of gamma rays. Survival percentage recorded irregular decreasing trend with upsurge in survival rate at certain doses. SVPR1 showed a pronounced maximum reduction in germination percentage (37.5%) than TMV7 (40.05) at 450 Gy, whereas survival percentage of TMV7 (20.02%) and SVPR1 (19.5%) was drastically reduced at 250 Gy itself. At a higher dose of 450 Gy, root (3.08) and shoot (3.03) length of seedlings of SVPR1 were greatly inhibited. Pollen fertility percentage showed a linear reduction irrespective of the genotypes, and maximum reduction was rear at 450 Gy in SVPR1 (62.76%) was recorded. LD50 values that showed 50% reduction in biological parameters differed between TMV7 and SVPR1. Based on all the biological parameters studied, the mutagen sensitivity of SVPR1 is higher than TMV7. The overall considerations on M1 generation effects showed that SVPR1 were highly sensitive to gamma rays.
PREPARATION AND ANTIBACTERIAL EFFECTS OF SILVER LOADED

In this study chitosan beads were prepared and cross-linked with glutaraldehyde then loaded with silver ions (Ag+). Effects of cross-linking and (Ag+) loading on the morphology and structure of beads were investigated by FTIR and SEM respectively. The water absorption capacity of beads were identified by swelling %. The release profile of (Ag+) was demonstrated by inductively coupled plasma atomic absorbance spectrometer. S. aureus ATCC 25923 and E. coli ATCC 25922 were used to study the antibacterial effect of released (Ag+). It was observed that prepared Ag loaded cross-linked chitosan beads have drop-like shape and rough surface with maximum swelling, about 27.07%. Obtained experimental results show early burst-like releasing profile of (Ag+) from the chitosan beads. (Ag+) released from prepared beads demonstrated strong antibacterial activity with complete inhibition activity against S. aureus and E. coli after 4 hrs from incubation with cumulative amount of (Ag+) reach ~ 8.414 ppm.
EFFECT OF ADDING THREE TYPES OF PLANT OILS TO PRODUCTIVE PERFORMANCE IN DIETS OF COMMON CARP FISH CYPRINUS CARPIO L. REARED IN FLOATING CAGES

This study was conducted to find out the effect of the addition of three types of plant oils (mint, chamomile, and ginger) on productive and immune performance in common carp fish Cyprinus carpio L. Used 120 fish with an average weight of 250 ± 4g, randomly distributed over four treatments with three replicates, with 10 fish per replicate. Used Four treatments: the first control (T1) without additives and the second treatment (T2), adding peppermint oil by (0.5%), the third treatment (T3), adding chamomile oil by (0.5%), and the fourth treatment (T4), adding ginger oil by (0.5%). Fish were fed on experimental diets by 5% of the live weight divided into two meals per day and the trial continued for 128 days, including 8 days for the adaptation period. Measured Some growth criteria for assessing the effect of diets and Some environmental tests were taken as. The results showed significant differences between the treatments (p<0.05), the chamomile treatment (T3) and the mint treatment (T2) outperformed the rest of the treatments in the growth criteria as they recorded the highest weight increase rate, respectively, reaching 656g and 609g and also recorded the highest weight increase rate of Respectively 405g and 358g. Also, they recorded the highest food conversion rate (FCR), respectively, 3.0 and 3.14 gm/g weight gain and the highest food transfer efficiency rate (FCE), respectively, were 33.36 and 31.82%. They also recorded the highest daily growth rate (DGR), respectively, of 3.38 and 2.99 g/day. It recorded the highest qualitative growth rate, respectively, 1.88% and 1.80%. The conclusion of this study is that the use of oils (mint, chamomile and ginger) with a concentration of 0.5% in diets of common carp fish has improved productive performance.
Forecasting the Amount of Cash in Circulation Based on a Regression Model with Lagged Variables

Despite the rather positive dynamics in developing the non-cash payment infrastructure, cash in Russia has been and remains the widespread instrument of payment. The purpose of this paper is the development of a model for forecasting the amount of cash in circulation in the country, namely the value of the monetary aggregate M0, by the example of the Russian Federation. At the same time, the objectives were set so that the resulting model should be suitable for a sufficiently accurate rapid estimation of М0 value, should be easy to use, and should not be overloaded with many variables. The author succeeded in achieving these purposes in the research using a formal approach based on a model with lagged variables, autoregression and time series analysis, also using numerical methods. The lagged variables used were the inflation rate and the value of the monetary aggregate for a previous period. The high quality, accuracy and forecasting power of the model are substantiated. The average approximation error of the model did not exceed 5%. Testing of the model using statistical data of the current year showed high accuracy of forecasting. Statistical data of official sources of the Russian Federation were used for the model development
ENTREPRENEURIAL ATTITUDE AMONG RURAL STUDENTS ENTREPRENEURSHIP AS CAREER– WITH REFERENCE TO POLLACHI

The attitude of entrepreneurship intention varies from one student to other. The understanding of the entrepreneurship attitudes will help to direct the students towards the self – employment. The researcher gathered required information from 437 final year under graduate and post graduate commerce students. It is discovered that by analyzing students attitude on entrepreneurship were grouped into four factors. The first factor named as prejudiced thought which consists of six variables. Second factor named as positive affirmation that consists six variables. Third factor had three variables and named as self-belief. The final factor with four variables named as self-determination.
EFFECT OF FOLIAR SPRAYING OF SOME ANTIOXIDANTS ON GROWTH AND PRODUCTIVITY OF GRAPEVINES (VITIS VINIFERA L. VC. “BARANY”) UNDER SEMIARID REGION

Grapevines (Vitis vinifera L.) “Barrany” variety are considered one of the most important fruit crops for local consumption and production in Matrouh Governmental of Egypt, the longtime of drought during the vegetative period which has a severe impact on the crop. A field experiment was conducted in a public farm of Faculty of Agriculture Desert and Environmental in “Ras El Hekma” region, under a rainfed condition during the two seasons of 2018 and 2019. The study aims to investigate the influence of foliar spraying of salicylic Acid (SA; 0, 1.5 and 3 Mm) and Ascorbic Acid (AA; 0, 2 and 6 mg L-1) on some growth parameters and productivity of Grapevines vc. “Barrany” under semiarid region. The results indicated that the foliar spraying of SA and AA up concentrations increased most of the studied characteristics i.e., leaf area, shoot length, chlorophyll content, bunches and berry characteristics, yield (kg/vine), proline. Foliar application with SA and AA significantly (p < 0.05) enhanced all measured quality attributes. In the semi-arid environment of the Matrouh region, these results suggest that foliar applications of salicylic and ascorbic acid could be used as a management practice for improving water stress tolerance of grapevines trees under suboptimal water regimes.
A SYSTEMATIC REVIEW ON GREEN SYNTHESIS OF NANOPARTICLES AND ITS MEDICAL APPLICATIONS

In recent years the nanotechnology has vast applications in the field of medicine. Nanotechnology will cover the wide range of research field, needs pure interdisciplinary and multidisciplinary efforts. Nanotechnology has the potential to develop new sensors with the help of nano particles synthesized using the biological green synthesis of metal nanoparticles in nanometer scale. These nano sized particles have an enormous application because of its non-toxicity, non-immunogenicity and capable of getting modified to target specific applications. These metal nanoparticles can be used to overcome many problems and it can treat diseases by which it may adaptable to any environment. Various metal nanoparticles (NPs) such as copper, silver, gold, zinc, etc have been synthesized using plant extracts. This paper deals with advancement and emerging techniques in nanoparticle synthesis for the development of a nanosensor for medical applications.
A New Simulation Algorithm for PDEVS Models with Time Advance Zero

Discrete Event Systems Specification (DEVS) is a well-known formalism to develop models using the discrete event approach. One advantage of DEVS is a clear separation between the modeling and simulation activities. The user only needs to develop models and general algorithms execute the simulations. The PDEVS simulation protocol is a well-know and widely accepted algorithm to execute DEVS simulations. However, when events are scheduled with time advance equal to zero, this algorithm handles them sequentially. Events that occur at the same time are processed one after the other. This may result in unwanted simulation results. In this work, we propose a new algorithm that assures that the output bag of a model is transmitted only when all the outputs corresponding to a given simulation time have been collected.
Cyber Security Threats and Vulnerabilities in IoT

- Nowadays portable devices like smartphones tablets and laptops are getting more and more adaptive informative and interactive. Peripherals can be interfaced and remotely accessed using Wi-Fi. Numerous of application can be controlled by using some kind of controller or processor. These all application and peripherals controlled come under one concept known as IOT. IOT combines all the peripherals like wireless sensors, networks, data acquisition, data analytics, cloud computing to provide solutions such that the peripheral objects are embedded in a network to provide object to object communication and user control over a same network. IOT innovation is leading us to smart cities to e-industries. It provides smart solutions to the problems faced by the industries as well as problems faced by common people in day to day life. Due to the environment of IOT the risk of cyber threats is of rising concern. Cyber-attacks basically focus on system infrastructure also digs into system vulnerabilities which may be of some concern not only to the vendors but also to the consumers. Cyber-attacks are not new to IOT but the rising involvement of IOT in our day to day lives it has become necessary to address this concern and take some measures to secure this threat. This paper aims to demonstrates cyber security in the field of Internet of Things (IoT) the issues it encounters.