bluuebunny/crossref_metadata_2025_split huggingface dataset:
АНТИМИКРОБНЫЙ ЭФФЕКТ МОНО- И БИЯДЕРНЫХ ИОДИДНЫХ КОМПЛЕКСОВ ПЛАТИНЫ И ПАЛЛАДИЯ
Authors: Salishcheva Olesya V. , Prosekov Alexander Yu. 
Published: April 2021

Обоснование. Высокая резистентность микроорганизмов-патогенов побуждает ученых всего мира вести исследования с целью получения новых антимикробных средств. Комплексы платиновых металлов остаются в поле зрения исследователей в плане потенциальных антибактериальных веществ.
Цель. Скрининг антимикробных свойств иодидных комплексов платины и палладия.
Материалы и методы. Оценивали антимикробную активность синтезированных моно- и биядерных комплексов Pt (II) и Pd (II), содержащих мостиковые и концевые иодидные лиганды. В качестве тест-организмов использовали стандартные штаммы микроорганизмов Pseudomonas putida, Bacillus subtilis, Aspergillus niger. Скрининг проведен с использованием диск-диффузионного метода и метода серийных разведений.
Результаты. Все исследуемые комплексные соединения обладают способностью ингибировать метаболический рост микроорганизмов в разной степени. Катионный комплекс платины [(NH3)2Pt(μ-I)2Pt(NH3)2]Cl2 проявляет больший эффект ингибирования по сравнению с комплексом-неэлектролитом [(NH3)2Pt(μ-I)2PtCl2], для которого активность сопоставима с моноядерным комплексом цис-Pt(NH3)2I2. Самый высокий антибактериальный эффект показал биядерный комплекс палладия [enPd(μ-I)2Pden]Cl2, обладающий большей лабильностью по сравнению с комплексами платины. Минимальная ингибирующая концентрация комплексов составила >110 мкм.
Заключение. Антимикробная активность комплексов по отношению к изученным тест-культурам зависит от состава и строения комплекса, природы центрального атома, числа координационных центров, их заряда, прочности связей лигандов с комплексообразователем.
Estimating environmental risk assessment for drinking and fisheries use (on the example of the Danube river – the city Vilkovo)
Authors: Daus Maria E. , Daus Yurii V. 
Published: April 2021

The Danube is a source of water for the household and industrial needs of Ukrainian population, industry and agriculture. The Danube waters are used for drinking centralized water supply in the cities of Kiliya and Vilkovo, as well as fisheries in the region. Therefore, it was important to carry out the “Environmental Risk Assessment for Drinking and Fisheries Use (on the example of the Danube River –the city Vilkovo)”. The purpose of the study was to evaluate the effectiveness of the application of the environmental risk criterion R on the basis of hydrochemical observations to verify the safety of drinking and fishery use. Analysis of environmental problems of the lower Danube River - Vilkovo; assessment of the environmental situation; calculation of water quality risk indicators according to the methodology of the Institute of Market Problems and Economic and Environmental Research of the NAS of Ukraine; establishing a link between water quality and risk is the finding of the research. It is established that the environmental situation is “critical” due to suspended substances, phenols, manganese and HCC for drinking water supply and “strained” through chromium, manganese, HCC, copper for fishery use. An assessment of the water quality by the modified Water Pollution Index (IWM) showed that the water is “moderately polluted” and “contaminated”. For both types of water use, normalized aggregated pollution indices were calculated taking into account the likelihood of a risk event occurring and R risk indicators were determined by year. It is established that there is a close linear relationship between WSS and R. It is shown that environmental risk estimates, based on the probability of exceeding concentrations of pollutants above the MPC, reflect well the ecological status of the water.
Terminologie orientée vers les connaissances et pratiques traditionnelles
Authors: Moukrim Samira 
Published: April 2021

La langue amazighe (berbère) n’est encore vivante et authentique que dans les domaines traditionnels. Or, la société traditionnelle amazighe subit actuellement une mutation très profonde. Les faits anciens se trouvent menacés à cause des processus d’industrialisation et de mondialisation. Avec l’évolution accélérée que connaît la société actuelle, le phénomène de déperdition de cette langue dépasse le rythme naturel et doit en conséquence être considéré comme préoccupant. \\ Sans une politique linguistique qui puisse actualiser l’amazighe pour qu’elle s’adapte à tous les domaines de la communication, notamment techniques et modernes, cette langue risque de disparaître à moyen terme. Dans ce contexte, une orientation de recherche centrée sur le sentiment d’urgence et de sauvetage apparaît primordiale pour sauvegarder les vestiges d’une société en voie de disparition. \\ Dans ce papier, il est question de la construction de terminologies orientées vers les connaissances et pratiques traditionnelles pour sauvegarder une langue à tradition orale, l’amazighe. Nous abordons le travail terminologique dans sa dimension de documentation, de sauvegarde et de revitalisation de la langue. Le corpus d’étude est analysé en exploitant les fonctionnalités offertes par l’outil informatique TXM.
Critères de constitution des entrées à partir d’un corpus historique
Authors: Mabrak Sami 
Published: April 2021

Le thème de l’article s’inscrit dans le deuxième axe du programme du colloque, c’est-à-dire, les approches d’extractions terminologiques et d’unités lexicales spécialisées. L’article se penchera plus spécifiquement sur les approches d’extractions d’unités lexicales dans une perspective lexicographique. Le sujet de notre article relève du domaine de la lexicographie et plus précisément de la lexicographie contemporaine. Nous abordons l’une des questions qui concerne la construction de la macrostructure d’un type particulier des dictionnaires, à savoir : le dictionnaire historique. Notre objectif est d’analyser les critères à partir desquels les entrées de ce type de dictionnaires sont constituées. Pour ce faire, nous adoptons une approche analytique et comparative. Quant au corpus de notre étude, nous l’avons constitué à partir de deux dictionnaires historiques déjà compilés et publiés, à savoir : le Dictionnaire historique de la langue française et le Dictionnaire historique de la langue anglaise. Les résultats de cette étude nous permettront de mener une réflexion sur les critères de constitution des entrées du Dictionnaire historique de la langue arabe.
Analyse et classification d’exemples illustratifs dans le dictionnaire “Cesselin" en utilisant Google Traduction et un dictionnaire UNL-UWs
Authors: Tomokiyo Mutsuko , Mangeot Mathieu , Boitet Christian 
Published: April 2021

Savoir si un exemple dans un dictionnaire bilingue est un proverbe, une expression idiomatique, une collocation ou un simple exemple d’utilisation serait très utile aux utilisateurs, mais est rarement indiqué. Dans cet article, nous présentons une classification manuelle et une annotation d’exemples dans un dictionnaire bilingue japonais-français, le « Cesselin » (145000 entrées), dérivées de l’analyse manuelle de 500 entrées, et décrivons les étapes d’automatisation du processus d’annotation. Quant aux proverbes, nous utilisons simplement des dictionnaires de proverbes. Pour les autres cas, notre méthode consiste à comparer la traduction (automatique) en anglais d’un exemple original (japonais) et sa traduction (française) dans le dictionnaire. La comparaison est basée d’abord sur le nombre de lexèmes communs aux deux sorties (anglaises), et deuxièmement sur le nombre de lexèmes synonymes, qui peuvent être trouvés en utilisant un grand dictionnaire UNL-UW. Nous montrons notre procédure de classification en détail et son automatisation future.
Online Products Fake Reviews Detection System Using Machine Learning
Authors: Et. al. Deepika Vachane, 
Published: April 2021

Nowadays online analyses gotten single indispensable components clients web based shop. Associations plus people utilize data near purchase correct items then settle on business choices.affect spammers otherwise unscrupulous agents make bogus surveys also elevate items near rivalries. To handle this issue, examines have been directed to define successful approaches to recognize the spam surveys. Different spam recognition strategies have been presented in which a large portion of them separates significant highlights from the content or utilized AI proceduresIn this paper, named spam recognition framework, which uses spam highlights for showing review enlightening lists as heterogeneous information structures to configuration spam ID strategy into a gathering of issue. Utilizing the criticalness, us to acquire great results with respect to various measurements on survey informational indexes. The commitment effort remains after people search enquiry show wholly n-no of things similarly as recommendation of the thing.
Implementation of Machine Learning Approaches for Breast Cancer Prediction
Authors: Et. al. Komal Hausalmal , 
Published: April 2021

The grouping of bosom malignant growth has been the subject of enthusiasm for the fields of medicinal services and bioinformatics, in light of the fact that it is the subsequent primary explanation of disease related passings in ladies. Bosom malignancy can be investigated utilizing a biopsy where tissue is wiped out and concentrated under magnifying instrument. The distinguishing proof of issue depends on the capability and experienced of the histopathologists, who will consideration for unusual cells. Be that as it may, if the histopathologist isn’t all around prepared or encountered, this may prompt wrong finding. With the ongoing suggestion in picture handling and AI space, there is an enthusiasm for test to build up a solid example acknowledgment based structure to improve the nature of finding. In this work, the picture highlight extraction approach and AI approach is utilized for the grouping of bosom disease utilizing histology pictures into threatening. The preprocessing on the picture is done using histopathological picture after that apply feature extraction and classify the final result using SVM and Naive Bayes Classification techniques.
Robotic Search and Rescue using Human Detection System
Authors: Et. al. Golande Avinash L, 
Published: April 2021

In this Technological advancement period, advanced construction improvements lead the formation of skyscrapers and homes which expanded the dangers of losing life because of natural and manmade catastrophes. In this system, we are proposing a radio-controlled bot that can identify live human beings from which are in the inaccessible region. Python libraries are used in Raspberry Pi microcontroller having Camera module to catch pictures of objects around it. This paper discusses about the mentioned system. The project takes live image samples and sends it to a network where this images can be accessed through a device. This images can be used for human detection. PIR sensor is used for the detection of human being trapped under debris. Whenever a human is detected the bot will send GPS co-ordinates to the device.
Fuzzy Logic Based Environment Control of Operation Theatre
Authors: Et. al. Sakshi Srivastav, 
Published: April 2021

It is very critical and important to maintain the appropriate climatic conditions in the operation theatre. In paper, we present an approach to control total environmental conditions for the operation theatre. Generally for environmental control of operation theatre air conditioning system is installed. In operation theatre environmental parameters like humidity, temperature, oxygen and particles etc. have to be controlled precisely. All the environmental parameters are of nonlinear nature hence, difficult to control or model with the help of conventional control systems. Keeping in mind the complexity and nonlinearity of these parameters as fuzzy logic controller (FLC) for controlling all the environment of operation theatre has been designed. For this fuzzy logic control system temperature, micro particles, humidity & oxygen have been taken as input parameters and based on these parameters speed of AC motor as well as the speed of exhaust motor are controlled. The control system is implemented with the help of different fuzzy rules and their membership functions derived from actual conditions. The performance of the system for control of operation theatre was studied and it has been observed that the result obtained with the fuzzy logic control system provides more effective and economical control. The fuzzy logic control system has been implemented using fuzzy Tech development tool.
Face Recognition from Video using Threshold based Clustering
Authors: Et. al. R. P. Dahake, 
Published: April 2021

Video processing has gained significant attention due to the rapid growth in video feed collected from a variety of domains. Face recognition and summary generation is gaining attention in the branch of video data processing. The recognition includes face identification from video frames and face authentication. The face authentication is nothing but labelling the faces. Face recognition strategies used in image processing techniques cannot be directly applied to video processing due to bulk data. The video processing techniques face multiple problems such as pose variation, expression variation, illumination variation, camera angles, etc. A lot of research work is done for face authentication in terms of accuracy and efficiency improvement. The second important aspect is the video summarization. Very few works have been done on the video summarization due to its complexity, computational overhead, and lack of appropriate training data. In some of the existing work analysing celebrity video for finding association in name node or face node of video dataset using graphical representation need script or dynamic caption details As well as there can be multiple faces of same person per frame so using K- Means clustering further for recognition purpose needs cluster count initially considering total person in the video. The proposed system works on video face recognition and summary generation. The system automatically identifies the front and profile faces of users. The similar faces are grouped together using threshold based a fixed-width clustering which is one of the novel approach in face recognition process best of our knowledge and only top k faces are used for authentication. This improves system efficiency. After face authentication, the occurrence count of each user is extracted and a visual co-occurrence graph is generated as a video summarization. The system is tested on the video dataset of multi persons occurring in different videos. Total 20 videos are consider for training and testing containing multiple person in one frame. To evaluate the accuracy of recognition. 80% of faces are correctly identified and authenticated from the video.
Radio Mean Labeling Of Paths And Its Total Graph
Authors: Et. al. Meera Saraswathi, 
Published: April 2021

A graph labeling problem is an assignment of labels to the vertices or edges (or both) of a graph G satisfying some mathematical condition. Radio Mean Labeling, a vertex-labeling of graphs with non-negative integers has a significant application in the study of problems related to radio channel assignment. The maximum label used in a radio mean labeling is called its span, and the lowest possible span of a radio mean labeling is called the radio mean number of a graph. In this paper, we obtain the radio mean number of paths and total graph of paths.
Novel Approach of Existence of Solutions to the Exponential Equation (3m2 + 3) x + (7m2 +1) y = z2
Authors: Et. al. R.Vanajaq, 
Published: April 2021

In this manuscript the exponential equation (3m2 + 3) x + (7m2 +1) y = z2 where m Î Z in three variables for the occurrence of solutions belonging to the set of all integers or the concerned equation has no solution for various alternatives of m is investigated.
Simulation of AlGaN MSM detector for investigating the effect varying absorber layer thickness
Authors: Et. al. Harpreet Kaur, 
Published: April 2021

For detecting feeble Ultra-Violet (UV) signals it is essential that front-illuminated photodetector (PD) should havethick photo-absorbing layer with thin transparent metal electrodes and antireflective coating (ARC) so as to getmore photocurrent and low dark current.Since detector geometry influences its performance, so it is very important to optimize layer thickness parameters. In proposed work fixed area Al0.5Ga0.5N/AlN/ Sapphire based Metal-Semiconductor-Metal (MSM)PDbased has been analyzed for optimum value of active layer thickness and inter-electrode thickness.In addition to take benefit of large Schottky barrierGold material has beenutilized for electrodes. It has been illustrated in past research studies that with the increase in thickness of AlGaN layer, more incident energy can be absorbed for large EHPs generation which lead to increased responsivity.However, few research papers have related the effect of variations inthickness of active layerwith electron velocity which has significant effect on dark current density, recombination rateand additionally on efficiency.So for further development and widespread implementation of AlGaN/GaN based detectors there is need to study the effect of variation in photo-absorber layer thickness on closely related performance parameters so as to select its optimum value.Current Voltage (IV)-characteristics,recombination rate, current density plots and spectral response have been investigated using Atlas-Silvaco simulation tool.In addition for electrode thickness variation,transmission and absorptionplots are alsoinvestigated. For the proposed MSM structure, it has been observed that dark current density tends to increase

beyond the optimum value of thickness of AlGaN layerwith specific absorption coefficient. Good transmission of light with high spectral response can be obtained with optimum value of electrode thickness.These observations can be suitable for improving the detectivity in support of various UV detection applications requiring good sensitivity and high signal to noise ratio.
Finite Element Analysis of Aircraft Radial Engineconnecting Rod Using Composite Material
Authors: Et. al. M.K.Karthik, 
Published: April 2021

The main objective of this project is analysis of Aircraft radial engine connecting rod by using fiber matrix composite materials in this type of composite materials to improve their ductility properties aluminium metal powder will be added in the matrix components like epoxy resin elements from the resin considerations the metal powder will be 5-10% of the weight of aluminium powder only added, the comparison of the existing material with GFRP Reinforced aluminium powder and Pure GFRP Material from the comparison of stress, strain and deformation results from the ANSYS Software GFRP with Aluminium powder material will get best results
gη - Separation Axioms In Topological Spaces
Authors: Et. al. K. Sumathi, 
Published: April 2021

In this paper a new class of separation axioms in topological spaces is used in gη-closed sets. The concept of gη-Tk spaces for k = 0, 1, 2, gη-Dk spaces for k = 0, 1, 2 and gη-Rk spaces for k = 0, 1 and some of their properties are investigated.
Exploration of Solutions for an Exponential Diophantine Equation px+ (p +1)y= z2
Authors: Et. al. P. Sandhya, 
Published: April 2021

In this text, the exclusive exponential Diophantine equation px + (p + 1)y= z2such that the sum of integer powers and of two consecutive prime numbers engrosses a square is examined or estimating enormous integer solutions by exploiting the fundamental notion of Mathematics and the speculation of divisibility or all possibilities of x + y = 1, 2, 3, 4..
Problems of Translating Culture-Specific Terms, Realies Which Existed In the Uzbek Language
Authors: Et. al. Niyozova Shoira Tairovna, 
Published: April 2021

The article covers a broad range of culture-bound words, realia translation, the identification of the main types and difficulties of translation based on the material of literary works translated from Uzbek into English. There was analyzed the presentation of national and historical realias and national features, problems of similarity and equivalency in translated artistic composition.
A Study on Determinants of Customer Satisfaction in E-enabled Bus Booking Platforms
Authors: Et. al. Amol Deogadkar, 
Published: April 2021

E-enabled ventures (especially the online bus booking services) have witnessed impressive growth in India during last decade. Especially after COVID-19, customer shift towards online services is expected to augment. This paper is an attempt to develop a scale for determinants of customer satisfaction amongst the existing users of online bus booking (e-enabled platform). Using e-SERVQUAL model by Parasuraman et al. (2005), a draft instrument was designed. Since online bus services also includes physical experience of services offered, Tangibility factor was added in the construct. The questionnaire was tested on a sample of existing users of online bus booking services (n=105).
After checking for the adequate reliability score, Exploratory factor Analysis (EFA) was performed. It resulted into extraction of four factors such as Contact, Fulfilment, Privacy and Responsiveness, accounting for 50.5% of total variance explained. Validating this scale on a larger sample for generalisation of the results would be the future agenda of research. Development of India specific scale for e-enabled business models in public transports can be considered as one of the major contribution of this study.
Impact of Covid 19 Induced Conditions on the Consumer Behavior on A Short, Mid and Long Term, for Consumption of Services
Authors: Et. al. Shripad Joshi, 
Published: April 2021

The covid-19 pandemic has demonstrated the interconnected and quiet picture of the nation with humans without their human touch – and that no one is safe until everyone is safe. With this pandemic different changes taken place and after fighting and juggling with it for around 4 months, consumers accepted the fact “this is new normal”. But this pandemic affected as well as changed the pattern of consumer behavior in so many ways be it behavioral change or psychological change. As the current situation made us all come across a lot of newness and to study that change in consumer behavior, my internship was an attempt to do a research on the impact of Covid19 induced conditions on the consumer behavior on a short, mid and long term impact for consumption of services. This research was taken out to understand the same in better way.
In the tenure of two months of my internship was to carry out a detailed analysis of consumer behavior in terms of services and their impact. This project’s primary objective was to perform set of task in order to study different psychological changes taking place in consumer for achieving the same I have giving following task which needs to be followed in the mentioned sequence itself.
The tasks were mainly divided into five sets:

Background study and collection of information related to covid-19.
Preparation of questionnaire on the basis of
Primary data collection from respondent (min.300) on telephonic
Analysis of data and key findings
Formation of report on the collected information

This market research was carried out with constraint, provided from the external mentor in terms of the selection of respondent. Covid-19 made a great impact on the consumer behavior in just a course of few months as few restrictions were imposed on the Indian citizen by the government of India to make sure health and safety of the people. This study in only recited to consumer of India who reside in India itself for a focused study and targeted group of people. Alongside this there was great learning regarding some technical knowledge like working on excel and analysis of the respondent’s response.