Miracle-dz/UniFAR-FTUs huggingface dataset:
Algorithms for synthesizing management solutions based on OLAP-technologies

OLAP technologies are a convenient means of analyzing large amounts of information. An attempt was made in their work to improve the synthesis of optimal management decisions. The developed algorithms allow forecasting the needs and accepted management decisions on the main types of the enterprise resources. Their advantage is the efficiency, based on the simplicity of quadratic functions and differential equations of only the first order. At the same time, the optimal redistribution of resources between different types of products from the assortment of the enterprise is carried out, and the optimal allocation of allocated resources in time. The proposed solutions can be placed on additional specially entered coordinates of the hypercube representing the data warehouse.
Inorganic nanoparticle-oligonucleotide conjugates for bio-sensing and therapeutics

In recent years, advances in conjugation techniques have allowed for the development of a vast range of hybrid materials nanomaterials with biomolecules. The use of hybrid nanomaterials has improved the imaging, treatment and diagnostics of specific biological processes. In this project, the main aim was to explore the uses of nanoparticle-oligonucleotide conjugates for biomedical applications. Gold nanoparticle-DNA probes for the intracellular detection of Vimentin mRNA were synthesized. These probes showed great target specificity and biocompatibility. Additionally, by means of light sheet microscopy, the three-dimensional visualization of Vimentin mRNA expression in tissue was performed in order to allow a deeper understanding of spatial and temporal expression events in wounded tissue. Furthermore, gold nanoparticles were also conjugated with siRNA sequences for the knockdown of SMAD3 gene in order to reduce the overproduction of TGF-β. This hybrid material showed efficient delivery of siRNA duplexes into both human and mice cells, with minimal toxicity. Upon applying the gold nanoparticle-siRNA silencing probes in in vivo murine models, preliminary results via photography and histological analysis pointed to a reduction of scar tissue formation. Finally, the conjugation of lanthanide upconversion nanoparticles and oligonucleotide sequences was performed for the successful development of a FRET type of sensor. This sensor was aimed for the detection of mRNA biomarkers of prostate cancer and Alzheimer’s disease. Using graphene oxide as an electron acceptor, the nanoparticle-DNA conjugates specifically detected the presence of the target mRNA biomarker in low concentrations, both in blood plasma and cell lysate solutions.
Self‐microemulsifying oral fast dissolving films of vitamin D3 for infants: Preparation and characterization

Abstract Combining the advantages of self‐microemulsifying technology and oral fast dissolving technology, a self‐microemulsifying oral fast dissolving films (SMEOFDF) of vitamin D3 was developed in this study. The pseudoternary phase diagram of microemulsion was constructed using water titration method, and the formulation of films was optimized by orthogonal experimental design. The prepared SMEOFDF of vitamin D3 was a thin film, in which the liquid drops of self‐microemulsion were embedded. It had good mechanical properties (thickness 166.7 ± 3.30 µm, tensile strength 38.45 ± 3.72 MPa, elongation 23.38 ± 4.23%, and folding endurance >200 times), and its disintegration time was about 18 ± 1.23 s. After being redissolved in water, microemulsion could form spontaneously, with particle size of 181.2 nm and zeta potential of 16.1 mV. The release profile of vitamin D from SMEOFDF could be well described by first‐order equation.
Detection of Malicious JavaScript Code in Web Pages

Objective: To detect malicious JavaScript code in Web pages by reducing false positive and false negative rate thus increasing detection rate. Methods/Analysis: In recent years JavaScript has become the most common and successful attack construction language. Various approaches have been proposed to overcome the JavaScript security issues. In this paper, we have presented the methodology of detection of malicious JavaScript code in the Web pages. We have collected the benign and malicious JavaScript's from the benchmark sources of Web pages. We have used the static analysis of JavaScript code for the effective detection of malicious and benign scripts. We have created a dataset of 6725 benign and malicious scripts. This dataset consists of 4500 benign and 2225 malicious Java Script's. Finding: We have extracted 77 JavaScript features from the script, among which 45 are new features. We have evaluated our dataset using seven supervised machine learning classifiers. The experimental results show that, by inclusion of new features, all the classifiers have achieved good detection rate between 97%-99%, with very low FPR and FNR, as compared to nine well-known antivirus software's. Novelty/Improvement: We have used 45 new JavaScript features in our dataset. Due to these new features, FPR and FNR are reduced and increase the malicious JavaScript detection rate.
Formulation and Pharmacokinetic Evaluation of Ritonavir Floating Tablets in the Management of AIDS

In the current study, gastro-retentive tablets of Ritonavir was developed to increase its oral bioavailability using hydrophilic polymers HPMC K 4M, K 15M, and K 100M as release retarding agents. Polyox WSR 303 was chosen as resin, sodium bicarbonate was used as effervescent agents. The tablets were prepared by direct compression method and FTIR studies revealed that there is no interaction between the drug and polymers used for the formulation. Among all the formulations F21 containing HPMC K 100M, Crospovidone, Polyox WSR 303 and sodium bicarbonate, as gas generating agent was choosen as optimized formulation based on the evaluation parameters, floating lag time (33 sec) and total floating time (>24 h) and in vitro dissolution studies. From in vitro dissolution studies, the optimized formulation F21 and marketed product was shown 98.67% and 95.09 ± 5.01% of drug release respectively. From in vivo bioavailability studies, after oral administration of floating tablet containing 100 mg Ritonavir, the Cmax, Tmax, and AUC0–∞ of optimized gastroretentive formulation were found to be 30.11 ± 1. 16μg/mL, 8.00±1.23 h and 173 ± 26. 34μg*h/ml, respectively. Cmax and AUC values of optimized formulation were found to be significantly higher than of marketed product, where longer gastric residence time is an important condition for prolonged or controlled drug release and also for improved bioavailability.
Data mining techniques and algorithms in cloud environment a review

Cloud Computing is resourceful in which computing resources are made available on-demand to the user as needed. Data mining is a process of discovering interesting patterns from a large amount of data. The difficulty is in collecting these data and carrying out computations to get the significant information. Data mining techniques and applications can be effectively used in cloud computing environment. Data mining and the cloud computing are considered as major technologies. The data mining in cloud computing allows organizations to centralize the management of software and data storage. This paper provides a review of various data mining techniques and different types of algorithms in cloud computing which can be used for resource sharing
Seasonal features and origins of carbonaceous aerosols at Syowa Station, coastal Antarctica

Abstract. We have measured black carbon (BC) concentrations at Syowa Station, Antarctica, since February 2005. The measured BC concentrations in 2005–2016 were corrected to equivalent BC (EBC) concentrations using Weingartner's method. Seasonal features of EBC concentrations, long-range transport from mid-latitudes to the Antarctic coast, and their origins were characterized. Results show that daily median EBC concentrations were below the detection limit (0.2 ng m−3) to 63.8 ng m−3 at Syowa Station (median, 1.8 ng m−3; mean, 2.7 ng m−3 during the measurement period of February 2005–December 2016). Although seasonal features and year-to-year variations in EBC concentrations were observed, no long-term trend of EBC concentrations was clear during our measurement period. Seasonal features of EBC concentrations showed a spring maximum during September–October at Syowa Station. To elucidate EBC transport processes, origins, and the potential source area (PSA), we compared EBC data to backward trajectory analysis and chemical transport model simulation. From comparison with backward trajectory, high EBC concentrations were found in air masses from the marine boundary layer. This finding implies that transport via the marine boundary layer was the most important transport pathway to EBC concentrations at Antarctic coasts. Some EBC was supplied to the Antarctic region by transport via the upper free troposphere. Chemical transport model simulation demonstrated that the most important origins and PSA of EBC at Syowa Station were biomass burning in South America and southern Africa. Fossil fuel combustion in South America and southern Africa also have important contributions. The absorption Ångström exponent (AAE) showed clear seasonal features with 0.5–1.0 during April–October and maximum (1.0–1.5) in December–February. The AAE features might be associated with organic aerosols and mixing states of EBC.
EXPOSURE TO SODIUM FLUORIDE VIA DRINKING WATER CAUSE CYTOTOXICITY AND OXIDATIVE DAMAGE IN LEYDIG CELLS

Bu calisma sodyum florurun (NaF) TM3 Leydig hucrelerinde in vitro ’da sitotoksisite ve oksidatif stres uzerindeki etkilerini arastirmistir. Sitotoksisite hucre canlilik ve cogalma hizi ile ve laktat dehidrogenaz testi ile belirlenmistir. Oksidatif hasar, artan lipid peroksidasyon urunu, reaktif oksijen turleri (ROS) ve azalan hucresel enzimatik ve enzimatik olmayan antioksidanlar yoluyla olculmustur. Leydig hucreleri, Turkiye'de icme suyunun gunluk alimina dayanan en dusuk ve en yuksek florur konsantrasyonlari olan iki farkli NaF (2ppm ve 16ppm) konsantrasyonuna 24 saat, 48 saat ve 72 saat maruz birakilmistir. Bu calisma, NaF'ye maruz birakilan Leydig hucrelerinde, konsantrasyon ve zamana bagli olarak, hucre canliligi ve proliferasyonundaki azalmanin ve oksidatif stresin arttigini gostermistir. Bu sonuclar florur uygulanmasinin Leydig hucrelerinde ve ozellikle hucrelerin antioksidan sisteminde hasara neden olabilecegini onerir. Bu ayni zamanda oksidatif stresin Leydig hucresi fonksiyonu uzerinde bozulmalarda onemli bir rol oynadigini kanitlamaktadir.
Comparison of Filtering Methods for Extracting Transient Facial Wrinkle Features

Facial local features comprise an essential information to identify a personal characteristic such as age, gender, identity and expression. One of the facial local features is a wrinkle. Wrinkle is a small furrow or crease in the skin. Recently, wrinkle detection has become a topic of interest in computer vision, where many researchers developed applications like age estimation, face detection, expression recognition, facial digital beauty and etc. However, most of the research focused on permanent wrinkles instead of transient wrinkles. Transient wrinkle can be seen during the movement of facial muscle such as a facial expression. This paper presents a comparison of filtering method for extracting transient wrinkles features. The filters that have been selected are Gabor wavelet and Kirsch operator. The extracted features are the number of wrinkles, the maximum perimeter of wrinkle, the average perimeter of wrinkle, total perimeter of wrinkle, the maximum area of the wrinkle, and the total area of the wrinkle. A total of 60 sets of data extracted from Cohn-Kanade database, images from internet and self-images. These images contain weak and strong transient wrinkles at forehead region. Features selection and analysis has been done to select which feature extraction method produces better wrinkle features that can be used for the classification of wrinkle detection system. The results show that both Gabor and Kirsch methods are successful to extract transient wrinkle features, where both methods scored 100% accuracy in the classification with SVM. However, Gabor method is slightly better than Kirsch method in term of detecting weak wrinkles. The Kirsch method requires an additional noise filtering method to eliminate noise particles after the convolution of Kirsch’s kernel. In conclusion, Gabor method is more applicable to a variety of applications than Kirsch method.
Low-Voltage Current and Voltage Reference Design Based on the MOSFET ZTC Effect

Most conventional CMOS technologies possess the so-called zero-temperature coefficient (ZTC) operating point where the transistor’s drain current becomes nearly independent of temperature due to the mutual temperature cancellation of threshold voltage and carrier mobility. This paper discusses how this ZTC point can be exploited in the design of current and voltage references with low supply voltages. Besides a theoretical overview regarding the ZTC behavior, a current reference in a standard 0.25- $\mu \text{m}$ CMOS technology operable from 1.3 V is presented. To further explore the possibilities of this approach, a voltage reference with a nominal supply voltage of just 0.5 V is designed and fabricated in a 130-nm technology. Measurement results are given for both circuits.
Near Field Wireless Powering of Deep Medical Implants

This study deals with the inductive-based wireless power transfer (WPT) technology applied to power a deep implant with no fixed position. The usage of a large primary coil is here proposed in order to obtain a nearly uniform magnetic field inside the human body at intermediate frequencies (IFs). A simple configuration of the primary coil, derived by the Helmholtz theory, is proposed. Then, a detailed analysis is carried out to assess the compliance with electromagnetic field (EMF) safety standards. General guidelines on the design of primary and secondary coils are provided for powering or charging a deep implant of cylindrical shape with or without metal housing. Finally, three different WPT coil demonstrators have been fabricated and tested. The obtained results have demonstrated the validity of the proposed technology.
Differential Dynamic Programming Based Home Energy Management Scheduler

This paper proposes a computationally efficient home energy management scheduler (HEMS) to minimize the cost of electricity consumption (CoEC) within a home which consists of rooftop photovoltaics (PV), a battery energy storage systems, and controllable appliances. Differential dynamic programming (DDP) algorithm is used and the uncertainty of PV generation and household demand along with the battery degradation is incorporated. The DDP algorithm divides the original problem space into several smaller subspaces and iteratively searches for a better solution within a subspace. The effectiveness of the developed framework is investigated through numerical simulations. The proposed HEMS minimizes the CoEC by determining an appropriate schedule of all devices ensuring an acceptable level for the customer comfort. The DPP-based HEMS is faster than the exact DP, approximate DP and mixed integer non-linear programming method. It is implemented in an intra-day setting where the BESS power is adjusted based on real-time observations of uncertain variable.
Improving mathematical representation ability in solving word problems through the use of cognitive strategies: orientation, organization, and elaboration

The purpose of this study is to better understand the use of three cognitive strategies, orientation, organization, and elaboration by students in completing word problems. The sample consisted of 54 senior high school students from three different school levels tested twice within the period of two months. The study found progress from the initial test to the final test, which is about the frequency of use of mathematical representation when students solve word problem that is written texts, drawings and mathematical expressions. Scores increase of significanly between initial test and final test in the firs and second groups, whereas the control group did not increase significantly. Each group gain a scores on the initial test of 26.7; 26.3 and 27.2, after treatment the scores on the final test became 36.1; 33.7 and 30.2. The study shows that the first group was more effective in using mathematical representations in the classroom than the second group and the control group. Students in the first group, second group, and control group tended to have different abilitiesin mathematical expressions and written texts when solving algebra and geometry problems, although none satisfactory. In conclusion, The Think Talk-Write + cooperative grouphad positive effects on students in the final test.
A Volume PEEC Formulation Based on the Cell Method for Electromagnetic Problems From Low to High Frequency

A new and general partial element equivalent circuit (PEEC) formulation based on electric and magnetic vector potentials and the cell method is presented. The purpose of this paper is manifold. First, a comprehensive review of well-established PEEC method is given and the state-of-the-art of the method with focus on the inclusion of magnetic media in the formulation is discussed. Then, a new and general formulation of the PEEC method based on integral equations is proposed. The formulation is valid for conductive, dielectric, and magnetic media and its advantages with respect to the state-of-the-art PEEC formulations are underlined. Unlike the existing PEEC methods, this novel formulation, thanks to the reinterpretation of PEEC in the context of integral equation methods, allows for maintaining a circuit interpretation for both electric and magnetic media. Thus, a standard Spice-like solver can in principle be adopted for the solution of electromagnetic (EM) problems also when magnetic media are involved. The imposition of the divergence condition for the current density vectors is guaranteed and also the case of inhomogeneous and anisotropic media is considered. A thorough discussion on the suitability of the method for the study of both low- and high-frequency EM problems is also presented. Finally, the case study of a near-field communication antenna is considered as an example of the applicability of the formulation to problems of industrial interest. Comparisons with commercial softwares, measurements, and the state-of-the-art PEEC method are given in order to demonstrate the accuracy and the advantages of the proposed PEEC formulation.
EFFECT OF ACID PRETREATMENT ON ENZYMATIC HYDROLYSIS IN BIOETHANOL PRODUCTION FROM RICE STRAW

Clean, safe and sustainable energy sources must be found to minimize all side-effects of fossil fuel consumption. Second generation bioethanol possesses a great potential as an alternative energy source especially in the transportation sector. In this study, rice straw was selected to be studied as a conversion of potential lignocellulosic biomass into bioethanol. Firstly, rice straw was processed with mechanical pretreatment using a home blender, followed by acid pretreatment using 2.0 M sulphuric acid (H2SO4) at 90 o C for 60 minutes. The glucose yield was found to be 9.71 g/L. Then, rice straw pretreated with acid was hydrolyzed using 24 mg of cellulase from Tichoderma Ressei ATCC 26921 over a 72-hour duration, which yielded a total glucose count of 11.466 g/L. After fermentation with Saccharomyces cerevisiae, it was found that by combining enzymatic hydrolysis with acid pretreatment yielded a higher ethanol content after fermentation (0.1503% or 52.75% of theoretical value) compared to acidic pretreatment alone (0.013% or 11.26% of theoretical value).
A generalised uncertain decision tree for defect classification of multiple wafer maps

Classification of defect chip patterns is one of the most important tasks in semiconductor manufacturing process. During the final stage of the process just before release, engineers must manually classify and summarise information of defect chips from a number of wafers that can aid in diagnosing the root causes of failures. Traditionally, several learning algorithms have been developed to classify defect patterns on wafer maps. However, most of them focused on a single wafer bin map based on certain features. The objective of this study is to propose a novel approach to classify defect patterns on multiple wafer maps based on uncertain features. To classify distinct defect patterns described by uncertain features on multiple wafer maps, we propose a generalised uncertain decision tree model considering correlations between uncertain features. In addition, we propose an approach to extract uncertain features of multiple wafer maps from the critical fail bit test (FBT) map, defect shape, and location based on a spatial autocorrelation method. Experiments were conducted using real-life DRAM wafers provided by the semiconductor industry. Results show that the proposed approach is much better than any existing methods reported in the literature.
A Microparticle Image Velocimetry Based on Light Field Imaging

Accurate 3D flow characterization in a microchannel is becoming increasingly important for the design and development of microfluidic chips. In recent years, a light field camera that can simultaneously record the direction and position information of rays in a single photographic exposure has been developed and employed in the field of computer graphics. In this paper, a microparticle image velocimetry based on light field imaging (light field <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>PIV) is proposed to reconstruct the 3D velocity field of a microscale flow. Both simulations and experiments are performed to verify the proposed method. The light field image of tracer particles and the point spread function (PSF) of a light field microscopic imaging system are numerically calculated based on the Abbe imaging principle. The 3D positions of the tracer particles in a flow field are then reconstructed by the Lucy–Richardson 3D deconvolution algorithm. Furthermore, a light field <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>PIV system based on an assembled cage light field camera with a microscope is developed, and calibrations are performed to obtain the geometric parameters of the <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>PIV system accurately. The simulation and experimental results demonstrate the feasibility of the proposed light field <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>PIV. Compared with the synthetic refocusing reconstruction method, the Lucy–Richardson 3D deconvolution algorithm greatly improves the lateral and the axial resolutions of the flow field.
The concept of methodology for communication and knowledge management in the organizations

The article analyses selected arguments for a universal methodology for managing communication and knowledge in organizations. On the basis of those conditions the principles of knowledge management are presented. Axioms underlying the logic model consistent with methodology is accompanied by a logic diagram of the other three components: the themes, processes and maintenance. The postulated methodology of communication and knowledge management in organizations aims to provide a universal, cost-effective and efficient tool to support the ­daily operations of the company, change management and implementation of strategic objectives. At the same time implementation of the principles of this methodology may allow for an increase in commitment and enhanced performance of potential users of communication processes and knowledge management – by making users prosumers.