bluuebunny/crossref_metadata_2025 huggingface dataset:
Проблема підготовки магістрів хімічного напрямку педагогічної освіти
Authors: Старова Т. В.
Published: April 2022

Стаття присвячена проблемам навчання студентів за освітньо-кваліфікаційним рівнем «магістр» в педагогічних вищих навчальних закладах. Запропоновані схеми реалізації вимог суспільства до рівня підготовки у магістратурі на базі інтелектуально-емоційного аспекту під час викладання дисциплін хімічного циклу.
Проблеми дослідницької діяльності студентів медичного коледжу
Authors: Бабенко Т. П.
Published: April 2022

У роботі розглядається поняття «дослідницька діяльність студентів у медсестринстві», визначаються принципи дослідницького навчання у медичному коледжі, проаналізовано рівні сформованості та зацікавленості дослідницькою діяльністю.
Навчання професійно спрямованого іншомовного спілкування з опорою на міжпредметну координацію
Authors: Шерстюк Л. В.
Published: April 2022

У статті розкривається питання опимального структурування і змістового наповнення навчального курсу з іноземної мови в системі підготовки студентів нефілологічних спеціальностей. Забезпеченню якісної іншомовної підготовки майбутніх філологія сприятиме уведення міжпредметної координації у зміст навчальних курсів.
Формування інформаційної культури майбутніх фахівців: стратегічні орієнтири сучасної освітньої парадигми
Authors: Волкова Н. В.
Published: April 2022

У статті порушується питання про необхідність формування інформаційної культури сучасної молодої освіченої людини. Наголошується на визначальній ролі високого рівня інформаційної культури, що стимулює процес вдосконалення навчально-виховного процесу; забезпечує доступність та ефективність освіти.
Зміст когнітивно-творчої компетенції майбутніх гуманітаріїв
Authors: Мішеніна Т. М.
Published: April 2022

У статті розкрито питання ефективного формування когнітивно-творчої компетенції майбутніх гуманітаріїв. Обґрунтовано змістові компоненти компетенції у процесі організації навчальної діяльності майбутніх фахівців.
Frequency Modulated Signal’s Optimum Noncoherent Demodulator Performance
Authors: Brusin E.
Published: April 2022

The article considers optimum noncoherent demodulator scheme. The symbol synchronization is key problem of demodulator’s performance. It is offered the resampler symbol synchronization sсhem. Modeling demodulator algorithm results is shown. The modeling results let to propose the optimum noncoherent demodulator scheme. It is shown that the demodulator provided near to ideal noncoherent performance. Based on the results presented in the paper, receivers of various broadband signals can be constructed.
Using Television Image Fragments of a Machine Vision for Verifying Noise Immunity of an Extended Object Velocity Measurement
Authors: Diyazitdinov R. , Vasin N.
Published: April 2022

Modern diagnostic systems used to control railway infrastructure are equipped with technical vision systems. In addition to video recording, these systems perform recognition tasks and measure parameters necessary for the automation of technological processes. One of the existing tasks is to measure the velocity of long objects. Measuring velocity is necessary for slowing down a carriage on a gravity yard, for the formation of an image of extended objects (separate wagons or convoys) that cannot fit into the frame as a whole (the image is formed from fragments of different frames). The article describes the procedure of verifying fragments of images used to measure the velocity of extended objects, which increases noise immunity. The verification procedure improved the existing algorithm based on comparing two adjacent frames to calculate the speed of motion, thus increasing the reliability of measurements.
To Teach Undercover: A Liberal Art of Rule
Authors: Holmberg Linnéa
Published: April 2022

School-age educare centres in Sweden have previously not engaged in teaching guided by objectives, but since 2016 there has been a legal requirement to do so as part of an assignment to complement the knowledge requirements in school. Through focus group discussions with children and school-age educare teachers this study explores how it is possible to teach in a voluntary educational programme such as school-age educare. The analysis problematises the voluntary nature of school-age educare in relation to the requirement to teach by using the concept liberal arts of rule while asking what can be governed and how one can govern in these centres. The results show that the children willingly participate in school-age educare since they experience themselves to be free and with great opportunities to play when in the centres. At the same time, the teachers fulfil the complementary assignment by disguising learning while teaching undercover.
Examining Children’s Peer Play-in-Action: Micro Dramas and Collaborative Play Performances
Authors: Evaldsson Ann-Carita
Published: April 2022

In this study, particular focus is on micro-ethnographic studies of children’s peer play-in-action and how children create shared peer cultures through their collaborative performances in situated game activities. It will be shown how children create micro dramas in play that serve as cultural frameworks to i) dramatize and transform experiences from the outside world; ii) playfully subvert hierarchies and gendered orders; and iii) comment upon and unravel controversial issues in their social life. The data are drawn from three sets of video-recorded data of children’s everyday play activities collected during fieldwork in separate school and after-school settings located in middle-class and low-income multiethnic suburban areas in Sweden.
Past, Present, and Visual Technology in The Story Girl and The Golden Road
Authors: Pike E. Holly
Published: April 2022

This paper argues that in The Story Girl and The Golden Road Montgomery and her narrator replicate Montgomery’s journalling and scrapbooking practices to explore the opportunities created by the visual technology of writing. The narrator’s accounts of performative storytelling and use of visual records recreate rather than describe past experiences.
Jan Hornát – Lucie Kýrová ed.: America First: Příčiny a kontext volebního vítězství Donalda Trumpa
Authors: Himmer Michal
Published: April 2022

A non-traditional candidate, an unprecedented president? Why didAmericans elect such a controversial figure as the head of their country?What were the causes and context for electing Donald Trump as theAmerican president and which strategies and topics gained him votersupport? This book aims to describe and analyze the steps Donald Trumptook to exploit the fissures in the socio-economic and cultural cohesion ofAmericans in order to win the elections. The deeper, contextualunderstanding and the chessboard of the 2016 election backgroundpresented in this book make it easier for the Czech readership tounderstand Trump’s steps more deeply than as flashed through his mediaportrait.
AWARENESS ACTIONS TO REDUCE SINGLE-USE PLASTICS FROM LAND, BASED SOURCES INTO RIVERS AND OCEANS, IN MINHO RIVER
Authors: Louro Patrícia , Antunes Carlos
Published: April 2022

There is an imperative need to reduce disposable plastics and enhance the value of plastic waste. Stakeholders from the HORECA network and the general public participated in 11 awareness actions at Minho river, riverbanks, and at Caminha beach. The aim of these actions was to raise awareness about plastic reduction from land-based sources into the oceans, especially single-use plastics. Over 4.300 plastics were collected and organized in a TOP 5 of predominance: Fragments (< 2,5 cm); Cigarette butts; Fragments (> 2,5 cm); Cotton buds; Bio filters pieces. A digital pedagogical “Collection Litter 365” was created with photographs of waste removed from the aquatic environment and art works that used it as raw material for the artistic process. Simultaneously, 42 restaurants, cafes, hotels and accommodation establishments were surveyed and motivated to eliminate or minimize the use of disposable plastics and improve it's separation for recycling. Plastic water bottles (43%), plastic straws (40%) and plastic bags with handles (26%) were the most decreased items. Plastic separation for recycling reached 29%. Art works were exhibited in Minho river, at the Art Biennale of Cerveira and disseminated via digital communication. These actions were performed during LowPlast Project, promoted by Aquamuseu do rio Minho - Vila Nova de Cerveira Municipality, in partnership with the Portuguese Marine Litter Association, the Foundation Biennale of Art of Cerveira and the Interdisciplinary Art Institute - DTK, in Norway, and financed by EEA Grants.  https://aquamuseu.cm-vncerveira.pt/pages/893.
PKM KELOMPOK USAHA IBU RUMAH TANGGA KELURAHAN LAKARSANTRI KOTA SURABAYA
Authors: Rizqiawan Hendrik , Novianto Iful , Subaderi Subaderi
Published: April 2022

Kegiatan Pengabdian Kepada Masyarakat (PKM) ini memiliki mitra yang merupakan kelompokusaha ibu rumah tangga yang berada di Kelurahan Lakarsantri Kecamatan Lakarsantri KotaSurabaya, persisnya di RW 02. Adapun produk makanan ringan yang mitra produksi danpasarkan ialah stick semanggi. Namun ada beberapa permasalahan yang dihadapi oleh mitraselama menjalankan usahanya. Kegiatan PKM yang berupa pelatihan, pendampingan dandisertai pengadaan peralatan ini bertujuan untuk membantu mitra dalam mengatasi beberapapermasalahan, antara lain pada proses produksi, label, pengemasan, manajemen usaha, danpemasaran. Tentunya dengan teratasinya permasalahan-permasalahan tersebut, adapeningkatan pada sisi ketrampilan, produktivitas dan kualitas produk mitra. Hal tersebut terlihatdari peningkatan kapasitas produksi, dimana mitra mampu memproduksi 6 sampai 8 resep perminggu dari semula rata-rata 2 resep pada waktu yang sama. Produk mitra saat ini juga mampubertahan hingga 1 bulan lebih jika dibandingkan sebelumnya yaitu hanya memiliki daya tahanmaksimal 2 minggu.
A Review on Stock Prediction Using Machine Learning Algorithms
Authors: Siddharth Meghwal  , Irfan Khan
Published: April 2022

The flightiness and unpredictability of the financial exchange render it trying to make a significant benefit utilizing any summed up conspire. This paper means to talk about our AI model, which can create a lot of gain in the US financial exchange by performing live exchanging in the Quantopian stage while utilizing assets liberated from cost. Our top methodology was to utilize outfit learning with four classifiers: Gaussian Naive Bayes, Decision Tree, Logistic Regression with L1 regularization and Stochastic Gradient Descent, to choose whether to go long or short on a specific stock.
As indicated by various examinations, stocks produce more noteworthy returns than different resources. Stock returns mostly come from capital increases and profits. Capital increases are the point at which you sell a specific stock at a more exorbitant cost than at which you bought it. Profits are a portion of the benefit that the organization whose stocks you bought makes, and disseminates it to its investors. As indicated by S&P Dow Jones Indices, beginning around 1926, profits have added to 33% of speculation returns while the other 66% have been contributed by capital increases. The possibility of purchasing shares from generally effective organizations like Apple, Amazon, Facebook, Google, and Netflix, together meant by the renowned abbreviation FAANG, during the beginning phases of stock exchanging can appear to be enticing. Financial backers with a high capacity to bear hazard would incline more towards capital additions for acquiring benefit rather than profits. Other people who lean toward a more safe methodology might decide to stay with stocks which have generally been known to give steady and huge profits.
A Review on Detection of Malicious Node in Delay Tolerance Network
Authors: Farhat Un Nisa  , Deepinder Kaur
Published: April 2022

TODAY, The use of a wireless network enables enterprises to avoid the costly process of introducing cables into buildings or as a connection between different equipment locations. The basis of wireless systems are radio waves, an implementation that takes place at the physical level of network structure. Wireless network is installations a method by which homes, telecommunications networks and enterprise (business) avoid the costly process of introducing cables into a building, or as a connection between various equipment locations. Delay tolerant networks (DTNs), such as sensor networks with scheduled intermittent connectivity, vehicular DTNs that disseminate location-dependent information, and pocket-switched networks that allow humans to communicate without network infrastructure, are highly partitioned networks that may suffer from frequent disconnectivity. In DTNs, the in-transit messages, also named bundles, can be sent over an existing link and buffered at the next hop until the next link in the path appears. This message propagation process is usually referred to as the “store-carry-and-forward” strategy, and the routing is decided in an “opportunistic” fashion. We aim to evaluate the added effect of the presence of malicious nodes on ad hoc network performance, and determine appropriate measures to detect malicious nodes. A malicious node advertising itself as having a valid route to the destination. With this intension the attacker consumes or intercepts the packet without any forwarding. An attacker can completely modify the packet and generate fake information, this cause the network traffic diverted or dropped. Let H be a malicious node. When H receives a Route Request, it sends back a Route Reply immediately, which constructs the data and can be transmitted by itself with the shortest path. So S receives Route Reply and it is replaced by H->S. then H receives all the data from S. In this research we propose a new assesment based scheme for detection of Malicious Nodes in DTN. And examine different strategies for prevention to malicious nodes as well as Compare out come proposed scheme with the earliest established schemes.
Enhancement of Resource Scheduling on Gui Based Operating System
Authors: Ulfat Altaf  , Deepinder Kaur
Published: April 2022

In computer architecture, multithreading is ability of a central processing unit (CPU) or a single core within a multi-core processor to execute multiple processes or threads concurrently, appropriately supported by operating system. This approach differs from multiprocessing, as with multithreading processes & threads have to share resources of a single or multiple cores: computing units, CPU caches, & translation lookaside buffer (TLB). Multiprocessing systems include multiple complete processing units, multithreading aims to increase utilization of a single core by using thread-level as well as instruction-level parallelism. Objective of research is increase efficiency of scheduling dependent task using enhanced multithreading. gang scheduling of parallel implicit-deadline periodic task systems upon identical multiprocessor platforms is considered. In this scheduling problem, parallel tasks use several processors simultaneously. first algorithm is based on linear programming & is first one to be proved optimal for considered gang scheduling problem. Furthermore, it runs in polynomial time for a fixed number m of processors & an efficient implementation is fully detailed. Second algorithm is an approximation algorithm based on a fixed-priority rule that is competitive under resource augmentation analysis in order to compute an optimal schedule pattern. Precisely, its speedup factor is bounded by (2?1/m). Both algorithms are also evaluated through intensive numerical experiments. In our research we have enhanced capability of Gang Scheduling by integration of multi core processor & Cache & make simulation of performance in MATLAB.
Secure Transfer of Digital Evidence from the Crime Scene
Authors: Santhosh B  , K. Annapoorneshwari Shetty
Published: April 2022

The essential task in tracing the source of the theft is to secure the digital proof from the location where the data was misused. But, more significantly, the data evidence must be sent to the main server without being intercepted by a Man-in-the-Middle assault. Diffie-Hellman Key Exchange Algorithm is used to securely exchange cryptographic keys from the admin and investigator. Here different layers of security have been identified. The proposed method uses message digest, encryption and steganography to implement secure transfer of digital evidence from the crime scene.
Analysis of Dawning and Proficiency of Artificial Intelligence
Authors: Mr. Siddharth Arora
Published: April 2022

Over 23 million software developers in 2018, this number is expected to reach 26.4 million by the end of 2019 and 27.7 million by 2023 according to Evans Data Corporation. The number of programmers continues to grow to this day as technology is the Forthcoming, especially in the AI field. Where there are 300,000 “AI researchers and practitioners” in the world, but the market demand is for millions of roles, so many people Siding to this field. Nowadays, most people learn the programming field as inquisitiveness but for their interest, however, they delve deeper into this field, which enhances their passion for and leaves their work to practice programming as occupation due to the availability of jobs and the most request for it. Over time, new languages have emerged, it has evolved to meet human needs in the form of programming languages. You can instruct the computer in the human-readable form where programming will enable you to learn the significance of clarity of expression, many determinations can be achieved, importantly, relationships, semantics, and grammar can be defined.
An Improved Deep Learning Algorithm for Student Achievement Prediction
Authors: Sayed Noorusabah  , Dr. Sweta Ramendra Kumar  , Mohamed Hasan Phudinawala
Published: April 2022

Educational Data Mining (EDM) research has risen to prominence because it aids in the discovery of relevant knowledge from educational data sets that can be used for a variety of reasons, such as forecasting students' academic performance and outcomes. Predicting student accomplishment may be beneficial in the development and implementation of a variety of improvements in education settings as a response to current educational systems. Machine learning has been used to predict students' achievement in a huge amount of existing research, which has taken a variety of factors into account, including family income, students' gender, students' absence, and stage-by-stage characteristics. In this proposal, an attempt is made to investigate the usefulness of applying the Deep Learning Algorithm (DLA), more specifically the Optimal Deep Neural Network (ODNN), to forecast students' progress, which could aid in determining whether or not students would be able to complete their degree. Using experimental data, it was discovered that the suggested framework outperformed the current one that was within reach in terms of accuracy of prediction.
Autonomous Attendance System Using Facial Recognition with User Friendly GUI
Authors: Swathika K K  , Tharunika K  , Sabari Swetha D  , Dr. S. Prakash  , Dr. R. P. S. Manikandan  , Mr. B. Varunkumar
Published: April 2022

One of the routine processes which is common in every educational institution is marking attendance for students. People use different ways to mark attendance for students like calling their name aloud and receiving their voice output to mark the attendance. And it is time consuming process and there may be chance for mistakes. There are many ways to make this process into automation like Fingerprint based approach, RFID, Iris and facial detection and recognition. In this work, we will see about one of best and effective approach to solve this problem using machine learning process of facial detection and recognition. Initially the pictures of students will be collected and trained under different lighting conditions and nominal accuracy can be achieved. Then the model will be tested with trained datasets and this process continues until the method works well in real environment(classroom).
Vegetation Scanning Using LiDAR-Based Drone
Authors: Mrs. Divya V Chandran  , Anirudh D Pai  , Azad P Thankachan  , Anagha J
Published: April 2022

Vegetation scanning has become fundamental since it gives pivotal data about the applications, including environmental monitoring, biodiversity conservation, agriculture, forestry, urban green infrastructure, and other related fields. Many remote sensing methods can be used to scan vegetation like SAR imaging, Landsat imaging etc. We use a LiDAR-based drone with an UTM setup since it allows fully automated surveying of large areas. Compared with the present LiDAR surveying technology, to survey a critical area, we don’t need to place the way-points in each area manually and manually fly the drone and collect required LiDAR data when we use a LiDAR-based drone with a UTM setup. Our project puts forward the idea of making the LiDAR-based drone with a UTM setup, which can help obtain more accurate 3D images of the area under study, useful for vegetation scanning.
Cyber Psychological Case Studies of Sextortion for Identifying the Accused in the Offences Committed on Social Media
Authors: Sarthak Rathod  , Akhlesh Kumar  , Dr. S. K. Jain
Published: April 2022

Human behaviors can never fail to astound society. People behave as they want in their privacy and sometimes it can be weirdest, dark, and taboo. Sex is not a routine and normal topic in the conversation of Indian society. Therefore, people are very secretive about their sexual beliefs, thoughts, and sexuality. Whenever anybody does anything where she/he knows that their act is not going to be known by others people tend to involve in such acts. This is the exact angle that blackmailers in sextortion have identified and they get success too in duping people. They threaten people to viral their videos or chat in the sexual act. But, the Majority of the crimes committed on social media go unreported or untraced. Due to lack of procedural setups to identify the accuses. especially in the cases of sextortion where name and shame in the society are attacked of any individual. The present research paper aims to provide a simple procedural method to identify the accused in the offences committed on social media. The authors of the research paper have chatted with the 11 blackmailers of sextortion on social media and the authors were able to identify the location of the accused. The research paper is attempting to explain the dynamics of crime and victimization of sextortion from a cyber psychological perspective.
Modelling Television White Space Frequencies for Broadband Internate Connectivity in The Rural Area of Nigeria Using Dynamic Spectrum Access Technique
Authors: Ujam Uchenwa N.  , Abonyi Dorothy U.  , Onoh Gregory N.
Published: April 2022

As a result of the switchover from analogue to digital transmission, Television White Space (TVWS) presented itself as good opportunity to supplement the existing licensed spectrum to ease the spectrum scarcity. Rural communities were usually not connected due to poor returns to the internet providers to provide broadband access to the areas. This research has prepared the framework and feasibility study for deploying broadband internet services using Television White Space (TVWS) technology in Ugbawka, a rural area in Enugu state, Nigeria. In this work, a Network Ping was run on five websites using three major internet service providers as backhaul to establish facts of poor or even non-existent internet services. Using Ping Plotter 5 Pro, accessing ieee.com using MTN yielded a Round Trip (RT) average of 846.433 ms, with a loss of 83.8% packet over 10mins count. Radio Frequency (RF) Explorer and Carlson transceiver, Customer Premise Equipment (CPE) were used for field trials to determine availability of TVWS Frequencies. A database app was developed by writing some codes in the Basic for Android (B4A) Intermediate Development Environment (IDE). Empirical outdoor propagation model was developed with a 2.15 pathloss exponent. An algorithm was developed, titled, TVWS Optimization Quadrature Amplitude Algorithm, (TOQA), where throughput of this project performed better by giving 60Mbps and 70 Mbps at Signal-Noise-Ratio (SNR) of 5dB while the conventional algorithm gave 30Mbps and 25 Mbps at same SNR value. The Bit Error Rate was lower than the conventional models used, giving the TOQA values of 10-3 at SNR of 5 dB and 10-6 at SNR of 30 dB while the conventional method gave 10-1 and 10-3 respectively at the same SNR values. A 34.0% improvement was achieved when the dynamic access technique offered by this project was implemented on the TVWS network.
Length-weight relationship study of mangrove clam Geloina proxima (Prime-1864) of Dapoli Coast of Ratnagiri District
Authors: Rajendra S. More
Published: April 2022

Mangrove clam Geloina proxima is one of the dominant indigenous bivalves of Ratnagiri Coast. The study of Length-weight relationship of clam G. proxima was carried out during July 2017 to June 2018 to understand growth rate and its pattern. Average total length for males and females recorded was 65.40 mm and 65.25 mm, respectively, which is also supported by the calculation of the weight studies. It is interesting to note that in G. proxima, irrespective of the sex, there is a coordination between the length and weight relationship. In the present study significant difference was observed between the length-weight relationship to weight relationship of male and females of G. proxima. Analysis of results for length-weight relationship in G. proxima indicates negative allometric growth pattern. It is observed that weight of G. proxima bears a curvilinear relationship with the length that becomes linear on logarithmic transformation. The value of correlation coefficient in males was r = 0.97 while the same in females were r =0.98, which were found to be statistically highly significant. The coefficient of determination r2 is an indication of goodness of fit of regression to the observed data. The closer it is to 1, the better is the fit.
Competitiveness of Indonesia's Fresh Lobster Market with China
Authors: Ulfa Hasna Azizah  , Sri Hartoyo  , Widyastutik
Published: April 2022

Fresh lobster is a strategic fishery commodity for economic development because it has a fairly high selling value. However, the volume and value of exports from year to year tend to decrease, which amounted to 69899.7 US$ in 2013 decreased by 29425.6 US$ in 2018. Most of the exports of fresh lobster to China, namely the average export value per year during 2012-2018 67% of all Indonesian fresh lobster exports. Based on this, this study aims to analyze: (1) the competitive position of Indonesian lobster, (2) the factors that influence the competitiveness of Indonesian fresh lobster in the international market. The competitive position of Indonesian fresh lobster was analyzed using the Export Product Dynamic (EPD) and Revealed Comparative Advantage (RCA) approaches, the factors that affect the competitiveness of the model used by VECM (Vector Error Correction Model). Based on the EPD and RCA analysis, it can be shown that Indonesian fresh lobster has a comparative advantage in the China market. The factors that affect the competitiveness of Indonesian fresh lobster in the short term are the export price of fresh lobster from competing countries (Australia) to China, the population of China. Meanwhile, in the long term, the factors that influence competitiveness are the export price of Indonesian fresh lobster to China and the population of China.
NEP, 2020 : General Education Embedded with Skill and Vocational Education
Authors: H M Naveen
Published: April 2022

The NEP, 2020 envisages that at least 50% of learners in school and higher education system shall have an exposure to vocational education by 2025. Keeping this in view, the policy recommends that Vocational Education shall be integrated in the educational offerings of all secondary schools in a phased manner. Thus, secondary schools will also collaborate with ITIs, polytechnics, local industry, etc. A framework of possible pathways of synchronizing general education with vocational and skill education is suggested by the UGC. Focus areas for Vocational Education will be chosen based on skills gap analysis and mapping of local opportunities. This framework will provide the basis for recognition of prior learning. The credit-based framework will also facilitate mobility across ‘general’ and ‘vocational education’. The new higher education system tends to be inclusive of all tertiary education and training sectors and learning pathways. Learning modes could be formal, non-formal, and informal learning with quality assurance so that the outcomes are comparable, recognizable, and transferable. Recognition of prior learning and the integration of skills and competencies earned by learners as credits into a formal certification of academic qualification is a unique practice. The outcomes are comparable, recognizable, and transferable, and thus contribute to lifelong learning. The present article highlights the background of the Vocational Education along with NEP policy perspective on vocational education. It also highlights the theoretical framework for synchronization of general education with vocational and skill education as suggested by UGC.
Adoption of Blockchain in Financial Services
Authors: Sudipta Kumar Ghosh
Published: April 2022

This paper aims to investigate the adoption of blockchain in the banking industry. The topic was researched by utilizing previous research papers and blockchain product/ service providers. There are several use cases of the blockchain in the financial sector. However, blockchain adoption is still in its early stages.
Optimization of Operational Method to improve sustainable Energy Efficiency of Auxiliaries in a CFBC coal fired Boiler- Result Analysis
Authors: Manish Radheshyam Moroliya  , Dr. Vinay Chandra Jha
Published: April 2022

The research paper provides details of the sultry dihydrogen monoxide heating system for power consumption such as aliment pump, victual pump motor, control valves etc; withal, details cognate to the test of the subsisting system power utilizing the 3-element mode method to control the drum level. Includes details about the sundry energy test equipment used during the potency test to quantify the sundry parameters such as flow, head, power haste, temperature and vibration. This study was conducted with the avail of 2 boiler and turbine engineers and 3 operators where there is an inch switch. During the study of the parameter sundry parameters were accumulated and designations were accumulated and the calculation was predicated on brake vigor and pressure disunion. In order to calculate it is consequential that one situation is sometimes engendered under the circumstances of each task. In cases of full volume, the drum pressure is customarily kg/cm2 above the maximum pressure. This denotes that when the total smoke load maximum pressure is ninety kg/cm2, then the corresponding drum pressure will be 100 kg/cm2. Ergo, while competitive calculations always engender the assurance that the pressure to aliment the victual in an economic rest area or aliment supply center is much more preponderant than the high pressure of the boiler drum suppleness for harmless operation.
A Collision Free Network with Minimal Routing Path for 2n Nodes
Authors: Anup Kumar Biswas
Published: April 2022

In the present work, a simple but complex network which has collision free communications is created. With the help of the binary n-cube the network is formed. This n-cube network connection is formed by connecting distinct N number of nodes which are expressed as a power of 2. If each node has an address of m bits then there are N=2^m number of nodes in the n-cube network. To find out the predefined routing path for the case of this n-cube network, we can apply deterministic algorithm providing us a collision /deadlock free concept. In calculating the predefined routing path(s), node addresses involved in the path are calculated by using the exclusive OR operation, firstly, upon the two node addresses of source and destination, and then, on the derived node-addresses according to the algorithm stated in section 2. Here, the Exclusive-OR operation is performed simply by using 2-input XOR gate which may be made up of either (i) classical CMOS based material, or (ii) Multiple input threshold logic gate , or (iii) Single electron tunneling Transistor (SET). We are concentrated in the case of CMOS based XOR circuit. In this work, an E-cube Routing on a 6-dimensional hypercube has been designed and constructed. We have tried to find out the node addresses for predefining the deadlock free routing path for any set of “source and destination”. To develop a “Collision free network with minimal Routing”, a number of Exclusive-OR gates are arranged in a pattern discussed in section 3 and the desired circuit is implemented. The implemented circuit can supply the predefined path nodes through which the signal/packets/data can pass. Regarding the experimental input –output values, some truth tables are depicted in substantial places. At the time of applying the algorithm, we have investigated that for 6-dimentional hypercube, the maximum path length are confined to 6, i.e. whenever the source and destination points are provided, then 6-node points are produced. Among these 6-pionts some of them may have identical values. As a result path length should be less than 6. For the network, the time required to travel a path is measured and shown. The net designed and implemented must a be a collision free one, since when a truth table is written, there would not be any pair of nodes identical in a column.
Optimize The Turning Parameter Using Taguchi Methodology
Authors: Azadar Mehdi
Published: April 2022

Turning is a most popular cutting process which is widely used in small as well as large scale industries. The selection of better combination of input parameter be means enhancement in productivity. The aim of this paper is to optimize the turning parameter (cutting speed, feed rate, depth of cut) using Taguchi methodology for minimizing surface roughness. The experiment were performed according to the L₉ orthogonal design matrix on the lathe machine. The result shows that optimal condition of the parameters gives surface finish which is better than initial . The cylindrical turning is a popular metal cutting prceses used in the indusrties to removed unwanted material in desired workpiece material.
Review on Microgrid Power Quality Improvement Using Active Power Conditioner
Authors: Amit M. Sirsat  , Dr. Swapnil B. Mohod  , Dr. Mohan B. Tasare
Published: April 2022

This paper discusses power system power quality issues and possible remedies using power electronics. Several worldwide standards for power quality control are briefly discussed, as well as some significant methods for analysis. Non-sinusoidal waveforms are introduced and assessed in an electrical circuit. The compensatory features and principles of operation of passive filters, shunt, hybrid, and series active power filters are presented. For each type of power filter, the topologies and control schemes of various power circuits are examined. Simulation and experiment are used to prove the compensating features of each topology with its corresponding control scheme. Harmonic current, power factor, and load unbalance can all be compensated for by the filter. Harmonic current, power factor, and load unbalance can all be compensated for by the filter. A power filter that has been employed there continuously monitors the load current and adapts to changes in load harmonics.
Studies on Effect of Antioxidant Enzymes Salicylic Acid and Jasmonic Acid Treated Plants of Acalypha indica.L
Authors: Dr. Shireesha Somineni  , Raju Potharaju
Published: April 2022

Acalypha indica.L one of the traditional medicinal small annual shrubs belongs to the Euphorbiaceous Family, it grows up to 30-75 cm in height and is distributed in wet, temperate and tropical areas. It is available in gardens, road sides and throughout India. In the present work, we try to assess the antioxidant enzymes activity of SA & JA treated and control plants of Acalypha. Plants were treated with alone and different concentration combinations of SA & JA. After 55 days treated plants leaves were used for extractions. For extracting antioxidant enzymes, fresh leaves (0.5 gr) were ground using a tissue grinder in 5 m L of 50 mM cooled phosphate buffer (ph 7.8) placed in an ice bath. The homogenate was centrifuged at 15000 rpm for 20 min at 4 0C. The supernatant was used for determining the activities of enzymes. In this we find the antioxidant enzymes are Proline, superoxide dismutase (SOD), Glutathione reductase (GR), Ascorbic peroxidase (APX), Glycine betaine (GB). Hightest antioxidant enzyme activity was observed at the combination of T8 (3mM SA + 2μM JA) and lowest in T6 (1 mM SA+2μM JA). All alone and combination of SA & JA treated plants were contains high antioxidant enzyme activity, when compared to control one.
Analysis Of Acceptance and Use of E-Procurement Applications Using Unified Theory of Acceptance and Use of Technology (UTAUT) In the Procurement of Goods and Services at PT. JMS
Authors: Zulkifli Jufri  , Budiman
Published: April 2022

His This study analyzes the acceptance and use of e-Procurement applications using the UTAUT Model developed by Vankatesh (2003). Respondents in this study were 182 people from the entire population at PT. JMS has the duty to carry out procurement or parties who have an interest in e-procurment applications. There are six hypotheses in this study that have been processed using partial least squares (PLS). Research shows that performance expectations, business expectations and social factors significantly influence the interest in using e-Procurement applications, as well as the conditions that facilitate and interest in the use of technology significantly influence the behavior of using e-Procurement applications. This research model results in an R2 value in the endogenous construct of technology utilization interest of 0.64 and an R2 value in the endogenous construct of application usage behavior of 0.73 which means that the model is substantial enough to predict the acceptance and use of e-Procurement applications in the procurement process goods and services at PT. JMS.
Economical Application of Industrial Waste in Road Construction
Authors: Tejas Biranje  , Omkar Lad  , Shataratha Navale  , Sumeet Bankar  , Dr. Mrs. Sonali Dhokpande
Published: April 2022

In present scenario, safe disposal of industrial waste is a major issue. These waste materials pollute the environment, and many of them are nonbiodegradable. The industrial waste utilization in road construction has proved to be of great use in efficient handling of waste material generated by industries and has enhanced the properties of road. By properly utilizing the resources, it has also reduced pollution and disposal issues. In road building, a variety of industrial wastes are used as a whole or partial replacement. A study of different types of industrial waste has been discussed by many researchers and numerous experiments have been carried out to improve quality of road and have appropriate replacement in order to reduce pollution, cost of disposing waste and saving natural traditional road constructing material. This paper emphasizes on reduction of expenditure of traditional road material and have a suitable replacement of natural resources which would benefit environment and society.
КОНФЛІКТНА ПОВЕДІНКА У ОСІБ З РІЗНИМ ЛОКУСОМ КОНТРОЛЮ
Authors: Ситнік С. В.
Published: April 2022

У статті представлено результати емпіричного дослідження прояву конфліктної поведінки у осіб з різним рівнем суб’єктивного контролю. Для перевірки гіпотези про те, що у осіб з різним локусом контролю поведінка у конфлікті набуває різних форм, аналіз результатів дослідження складався з трьох послідовних кроків. По-перше, це з’ясування загальних тенденцій локалізації контролю у сучасної молоді. По-друге, встановлення характеру взаємозв’язків між локусом контролю та різними формами поведінки у міжособистісному конфлікті. По-третє, порівняння груп досліджуваних з екстернальним та інтернальним рівнями суб’єктивного контролю. У результаті проведеного дослідження показано, що більшість представників студентської молоді має екстернальний локус контролю, не вважають себе здатними впливати вирішальним чином на значущі події життя, розцінюючи їх як результат випадку або дії інших людей. Вони готові визнати власні досягнення, а свої дії вважають важливим фактором організації виробничої діяльності, підтримання формальних і неформальних стосунків з людьми, але не беруть на себе відповідальність за невдачі, особливо у питаннях здоров’я та сімейних стосунків. В процесі кореляційного аналізу встановлено, що рівень суб’єктивного контролю прямо пов’язаний з вибором конкурентної форми поведінки у конфлікті, агресивним захистом у ситуації загрози власному «Я», маніпулятивною спрямованістю особистості у спілкуванні, агресивним та підозрілим ставленням до людей, а також від’ємно – з тенденціями до компромісу та ухилення у конфлікті, миролюбною формою захисту у ситуації загрози власному «Я», альтруїстичним, дружелюбним ставленням до людей, альтероцентричною, конформною комунікативною спрямованістю. Виявлено шляхом порівняння груп досліджуваних з різним рівнем локусу контролю, що інтернали під час конфлікту більшою мірою схильні застосовувати конкурентні форми поведінки, агресивний спосіб захисту в умовах загрози власного «Я», частіше проявляють себе як вимогливі, прямолінійні у взаємодії з людьми, строгі в їхній оцінці, зорієнтовані на рівноправне спілкування, яке базується на взаємній довірі, повазі, взаєморозумінні та відкритості. Екстернали більш налаштовані розв’язувати конфліктні ситуації, обмінюючись поступками, розробляти компромісні рішення. Вони більш доброзичливі, здатні до співчуття, турботи, краще вміють підбадьорити або заспокоїти оточуючих, демонструють добровільну та безкорисливу центрацію на партнері, прагнення зрозуміти його інтереси задля найповнішого їх задоволення, відмову від рівноправності у стосунках, готовність змінити свою точку зору, підпорядкуватися авторитету.
ПСИХОЛОГІЧНІ ПРИЧИНИ ВИНИКНЕННЯ ТРИВОЖНОСТІ У СТУДЕНТІВ
Authors: Блохіна І. О.
Published: April 2022

Стаття присвячена теоретичному аналізу психологічної літератури щодо понять тривоги, тривожності, їх компонентів, рівнів прояву та характерних ознак. Проаналізовано основні теорії у вивченні феноменів тривоги і тривожності. Встановлено, що найбільш розробленими в психології з дослідження тривоги є теорії З. Фройда, А. Адлера, К. Хорні, Е. Фромма. Зокрема, в роботах класиків психології тривога розглядається як прояв неблагополуччя, причиною якого можуть бути несприятливі умови або дитячі психотравми. Сучасні підходи до розуміння тривоги характеризуються термінологічною розбіжністю. Так, тривога розглядається на основі поведінкових ознак, з позицій захисних механізмів, як результат впливу минулого досвіду, як фізіологічна реакція. З’ясовано, що тривожність визначається як складний процес, що містить когнітивні, афективні та конативні реакції в ситуації, що об’єктивно оцінюється особистістю як потенційно небезпечна. Розглянуто класифікації видів і форм прояву тривожності. Розглядаючи тривожність як ситуативну та особистісну, встановлено, що в першому випадку термін використовується для опису неприємного емоційного стану, пов’язаного з напруженням, очікуванням несприятливих подій, а в другому – як переживання особистої загрози, підвищену чутливість до невдач та помилок. Визначено та проаналізовано психологічні особливості юнацького віку: соціальну ситуацію розвитку, основні новоутворення (саморефлексія, усвідомлення власної індивідуальності, поява життєвих планів, готовність до самовизначення, установка на свідому побудову власного життя, розвиток теоретичного мислення, філософська рефлексія, прагнення до абстрагування, широких узагальнень, формування індивідуального стилю розумової діяльності). Розглянуто та проаналізовано деякі причини виникнення і прояву тривожності у студентської молоді.
Antibacterial Activity Test of Turmeric Extract (Curcuma longa) From Madura Island Against Staphylococcus aureus
Authors: Fatimah Baitul , Kinasih Dewangga Sakti Satria , Retnowati Wiwin , Setiawati Yuani
Published: April 2022

Staphylococcus aureus is a gram-positive bacteria, a normal flora of the body that can cause infection in various organs and has the potential to become resistant to antibiotics. Turmeric (Curcuma longa) is one of the herbs that has antibacterial effects and is often used by Madurese people as a traditional medicine. It is suspected that geographical differences and the natural conditions in which turmeric grows can affect its compounds and properties. This study aims to analyze the ethanolic extract of turmeric from Madura as an antibacterial against S. aureus. An in vitro laboratory research using agar well diffusion method was conducted with the concentration of turmeric extract used 20%, 40%, 80%, and 100%. The positive control used was penicillin. The negative control in this study was 100% DMSO. The results showed inhibition zone at concentrations of 20% (11.86 mm), 40% (12.04 mm), 80% (12.53 mm), and 100% (10.97 mm). The diameter obtained was lower than the positive control penicillin which was 27.59 mm. Turmeric extract (Curcuma longa) from Madura has antibacterial activity against Staphylococcus aureus.
The Effect of Nutrition Training on The Mothers Knowledge Whose Children Are Picky Eaters
Authors: Sofiyatin Reni , Abdi Lalu Khairul
Published: April 2022

Background: Preschool age (4-6 years) children experience several eating problems, one of which is picky eating. One of the factors that influence picky eater behavior in children is the practice of parenting practices adopted by parents. A good mother's knowledge the expected to shape attitudes and behaviors that can shape children's excellent and healthy eating habits. Objectives: The study of the effect of nutrition training on mothers on the knowledge of mothers whose children experience picky eating. Method: Quasi-experimental research design with pre-post only group design, statistical analysis using Paired T-Test. Results: The level of knowledge of mothers before training with fewer categories was 19 people (63%); after training, the level of knowledge was 19 people (64%) and good one person (3%). Training effects increase the knowledge of mothers whose children experience picky eating (p = 0.006 <α = 0.05). Before training, the average knowledge score was 53 points, increasing to 61.3 points after training with an average increase of 8.3 points. Conclusion: Training increases the knowledge of mothers whose children experience picky eating (p = 0.006 <α = 0.05).
The Effect of the Combination of Baby Massage With Boreh Rice Kencur Bima Against Baby Sleep Quality
Authors: Putri Eva Sofiana , Meliati Linda , Sudarmi Sudarmi , Pratiwi Intan Gumilang
Published: April 2022

Achieving the need for sleep is an effort that affects the baby's growth. Many millions of children suffer from growth and development problems. In Indonesia, babies who have cases of poor sleep quality wake up a lot at night. Rice kencur boreh is made from rice, and kencur has the benefit of providing warmth and comfort when applied to the body. The people of Bima used to use boreh rice kencur to maintain the health of their babies and make babies sleep soundly. This study aims to determine the effect of the combination of baby massage with rice kencur boreh on improving the quality of baby sleep. This research is a quasi-experimental design with a pre-post test with the control group. The study population in this study were infants aged 3-6 months. The sample consisted of 31 people with a treatment group of 16 people and a comparison group of 15 people-data analysis using Mann Whitney. The results showed an increase in the quality of infant sleep after infant massage with VCO and Boreh Beras Kencur, namely an increase of 3.38 ± 0.44 points. There was also an increase in the control group with average sleep quality of 2.93 ± 0.83 points. There was an effect of the combination of boreh rice kencur Bima on infant sleep quality.