bluuebunny/crossref_metadata_2025 huggingface dataset:
Parent Preferences for Peer Connection in eHealth Programs
Authors: Rioux Charlie , Konkin Avaline , MacKinnon Anna L , Cameron Emily E , Tomfohr-Madsen Lianne M , Watts Dana , Roos Leslie E
Published: June 2022

Background

Social support and connection with other parents are important factors associated with parental mental health and parenting practices. These social connections can be integrated in parental eHealth programs through forums or group therapy sessions, but parental needs and preferences regarding these eHealth features are unknown.

Objective

This study aims to examine parents’ preferences for connecting with other parents in eHealth programs.

Methods

In total, 162 parents of 0-5–year-old children in the United States were recruited through Amazon Mechanical Turk (MTurk; mean age 32.7, range 22-61 years; 80.2% White; 59.9% men, 39.5% women, and 0.6% nonbinary; 93.8% biological parents). Participants filled out a one-time survey. Best practice recommendations for using MTurk were employed (through captcha verification and attention checks). Descriptive statistics were run in SPSS (version 27; IBM Corp) on MacOS.

Results

Parents were asked to rate how likely they would be to use a digital program with weekly opportunities to connect with other parents in the program (1=very unlikely to 5=very likely). Overall, 13.4% of parents indicated that they would be (very) unlikely to use a program with that feature and 59.8% of them indicated that they would be (very) likely to use it, with the remaining 27.8% of them being neutral. On being asked specifically about their preference, 85% of parents indicated that they would prefer connecting with other parents in the program, with 70% of those preferring to connect anonymously. On a forum, 67% of parents indicated that they would be comfortable connecting with all parents (as opposed to mothers or fathers only); regarding videoconferencing, that number was 61%.

Conclusions

Considering that studies have shown the positive impact of social support for parental mental health and parenting practices, integrating anonymous connection with other parents should be considered in developing parental eHealth programs and would be in line with the preferences of most parents.

Conflicts of Interest

None declared.
INFRASTRUCTURE AS A FACTOR OF COMPETITIVENESS OF THE SELECTED EUROPEAN COUNTRIES
Authors: Despotović Danijela , Cvetanović Dušan , Nedić Vladimir , Cvetanovic Slobodan
Published: June 2022

The paper examines the intensity of the infrastructure impact (roads, port infrastructure, air transport, electricity supply) on improving competitiveness quantified by Gross Domestic Product per capita (GDP pc) of twelve Emerging and Developing European countries according to the Global Competitiveness Index (GCI ) of the World Economic Forum (WEF) and the methodology for the period 2007 - 2017. The impact of infrastructure as one of the basic factors of competitiveness on GDP growth per capita was seen through single (linear and exponential) and panel data linear regression analyses. The results of the research showed that the development of the infrastructure has a very positive impact on GDP growth per capita. Positive interdependence is far more evident in six economically less developed Emerging and developing European countries that were (Croatia) or are the current members of CEFTA (Albania, Bosnia and Herzegovina, Macedonia, Montenegro and Serbia) in comparison to the six remaining Emerging and developing European countries (Bulgaria, Hungary, Lithuania, Poland, Romania and Turkey) in the observed period. Taking into consideration the fact that all CEFTA countries analyzed are at some stage of their accession to the European Union, the conclusion is that they must pay special attention to the development of infrastructure.
Smart System for Food Quality Detection and Transportation Using IoT
Authors: Patel Payal , Pagar Arti , Aher Madhuri , Mutkule Prasad
Published: June 2022

Abstract: Food inventory network process involves crops assortment, handling of food, transporting and conveyance to the entire dealer on the lookout. Reaped food sources disintegrate from the second they are collected due to assaults from chemicals, oxidation, and microorganisms. These incorporate microscopic organisms, form, yeast, dampness, temperature, and substance response. The deterioration of new food has expanded over the long haul because of the multistage slow food inventory network process. The ID, detectability, and constant following of products in supply chains have forever been a test. The approach of the Internet of Things and distributed computing has brought another way to deal with the food store network process for better participation among store network accomplices. The inventory network the executives (SCM) benefit extraordinarily through mechanization dependent on key advancements of IoT. Keywords: IoT, Food Supply, Tracking, Food Safety, Distributed Computing
Secure File Storage on Cloud Using Cryptography
Authors: K Nandini , S Faisal , B Shailendra , S Shree Vallabha , B Pavan
Published: June 2022

Abstract: Hacking became a serious drawback lately. Transference of secure knowledge or communication through the web turns out to be difficult because of security considerations. to anticipate these security hurdles, we tend to use Cryptography, and Image Steganography. Day’s cloud computing is currently employed in several areas like business, colleges, and Universities to store a great amount of knowledge. We will extract knowledge from the cloud for the asking of users. To store knowledge on the cloud we've to face several errors and issues. Cryptography and steganography techniques area unit well-liked currently a day’s for knowledge security. using one algorithmic rule isn't effective for prime-level security to knowledge in cloud computing. during this paper, we initiated a new security mechanism using symmetrical key cryptography algorithmic rules and steganography. during this projected system AES, blowfish, RC6, and 3DES algorithms area units were used to supply blockwise security to knowledge. All algorithms have a key size of 128 bits. Key data contains that a part of the file is encrypted using that algorithmic rule and key. The file is split into eight components. every part of the file is encrypted using different algorithmic rules. All components of the file area unit are encrypted at the same time with the assistance of the multithreading technique. encoding Keys area unit inserted into cowl image using LSB technique. Steganography image is sent to a valid receiver using email. For file secret writing purposes reverse method of cryptography is applied. Keywords-Hacking, Steganography, Cryptography, Cloud service provider (CSP), cloud server (CS), Encode, Decode, Delay, Integrity
Fuzzy Clustering Approach for Brain Tumor Detection
Authors: Dhumal Miss. Sonali Bharat , Tamboli Prof. M. S.
Published: June 2022

Abstract: This paper focuses on using a simple algorithm to detect the range and shape of tumors in brain MR images and to determine the stage of the tumor from the given tumor region. Tumors are uncontrolled tissue growth that can occur in any section of the body. Tumors come in a number of varieties, each tumor type has its own set of characteristics and treatment options. Because of its nature in confined space ofthe cerebral cavity, brain tumors are inherently dangerous and life-threatening (space formed inside the skull).According to the studies carried out in developed countries, an increasing number of people with brain tumors have perished as a result of faulty detection. In most cases, a CT scan or MRI focusing on the cerebral cavity yields a comprehensive view of the brain. Some general risk factors and symptoms was established after extensiveresearch and statistical analysis based on those people who are affected by brain tumors. The growth of technology in science day and night aims to provide new therapeutic approaches. The clinician examines this imaging method for the purpose of detecting and diagnosing a brain tumor. However, this method helps to accurately predict the size of the tumor, as well as the stage of the tumor from the tumor’s location is detected during the process. The k-means and fuzzy c-means are the algorithms that are used in this study to segment brain tumors from the given brain tumor image. This method enables the accurate and repeatable segmentation of tumor tissue, comparable to manual segmentation. Furthermore, it cuts down on analysis time and detects tumor stage from a particular tumor region. Finally, create a system that uses Java to identify the tumor stage thatis easier to use, less expensive, and saves time. Index Terms: Magnetic Resonance Imaging (MRI),Fuzzy Ap- proach, Interval Type-II Fuzzy Logic System (IT2FLS); Tumor identification. Pre-processing, K-means
Detection of Diabetic Retinopathy through Retinal Fundus Images Using CNN
Authors: C V Preetheka
Published: June 2022

Abstract: Diabetic Retinopathy (DR) is an eye condition, caused by diabetes and can lead to vision loss or blindness. It has affected over 290 million people worldwide, including 69.2 million in India, and the number of individuals affected is expected to rise tremendously in the future years. The manual diagnosis process of DR by ophthalmologists is time-consuming and costconsuming and prone to misdiagnosis unlike computer-aided diagnosis systems. This paper focuses on severity of DR as Mild DR and Severe DR using Convolutional Neural Network approach. The dataset which we have used is available in Kaggle. The raw input images are gray scaled and then they are processed using trained convolutional neural network model, which extracts the features of fundus images. A standard report which includes the patient details and the severity of DR along with affected percentage is generated in a pdf format. Keywords: Convolutional Neural Network, Diabetic Retinopathy, Deep-Learning, Fundus image, VGG net architecture
Deep Learning based Emotion Analysis and Recognition for Movie Review
Authors: TK Kamalesh , P Ragul , S Aravindh Siva , G Pradeep Kumar
Published: June 2022

Abstract: In the present world of AI-based systems, image processing is a prominent emerging method. One of the topics covered by artificial intelligence machine learning techniques is emotion recognition. Emotion Recognition is the process of analyzing facial expressions, body posture, gestures, and voice to interpret a person's thinking and current mental state. This allows one to determine whether or not the individual is interested in the continuing action. The Audience Feedback Analysis' fundamental functionality Using Emotion Recognition allows you to collect and analyze every individual's facial expression during or after a seminar, discussion, lecture, or keynote, and provide an analysis of the average emotional state of the audience. The major goal of the proposed system is to offer the event organizer or administrator with accurate and unbiased feedback by analyzing the expressions of the crowd during the duration of the event or at a specific time interval. Keywords: Convolutional Neural Network(CNN), Emotion recognition, Deep-Learning, ReLU.
“in Rted – Interactive Navigation by Virtual Reality Tour of Electronics Department”
Authors: Patil Akshata
Published: June 2022

Abstract: The purpose of this study is to design a navigation tool that helps users in exploring a place without actually having to move about. The 3D model of the virtual campus offers a characteristic and genuine visual representation of the campus. Also, keeps great interaction with clients so that gathering of people to see through and encounter the feeling of really being right there inside the campus. We all have the experience of getting lost and missing our way in an unfamiliar region or unknown place. Similarly, the freshers or the visitors who are visiting the university for the first time might encounter the identical issue once they enter the Campus. To make it convenient for them, we offer an easy platform for navigating locations inside the college Campus. According to the final idea of the project, the design should provide a typical location selection input with the corresponding output. Users can properly choose the doorway from our campus or a selected location on a distinct floor, and also the best-suited way is shown on display step by step. The purpose of designing this aspect is to let users remember the destination whether or not they are required to travel in-home or on the way before coming to our campus. Campus visits are among the openings for colleges and colleges to point out their resources, amenities, and accomplishments to guests and students. Several universities are utilizing similar technology as a mobile campus touring application like customized maps to create for the visitors at home self-guided campus go through devices. Our project will provide a Virtual 3-Dimensional experience in the navigation of the College Campus
Voice Based Summary Generation using LSTM
Authors: Sharma Ruchi
Published: June 2022

Abstract: Summary generation is utilized to have a fast outline of a total meeting without wasting much time. In this research paper, we are making a pipeline to create a summary of a voice recording. We will change the voice recording into text and afterward, we will utilize a deep learning model to produce an outline of that voice recording. We have 10 min voice recording as information and a rundown as result. Rundown age is essential of two sorts: Abstractive synopsis and extractive outline. Abstractive rundown creates new sentences with comparable significance as a synopsis of huge sentences and extractive outline produces sentences in the wake of pulling just significant expressions and catchphrases of enormous sentences. Keywords: Text Summary, Extractive, Abstractive, Natural Language processing, Machine Learning
Comparative Study on Expanded Polystyrene (EPS) Core Reinforced Concrete Sandwich Panels based and R.C.C Brick Infill Structure
Authors: Kazi Mohammadzunoor , Chandresha Sandip P.
Published: June 2022

Abstract: Now a day Expanded Polystyrene (EPS) Core Reinforced Concrete Sandwich Panels (RCSP) is become more popular building material, Due to it's low Weight, low Thermal Conductivity and low construction time. Also it provide more work ability for the mass production of building. EPS Core (80mm to 120mm) RCSP Panel consist of EPS Core Between two layers of Reinforce concrete, 2mm to 3mm diameter welded coated steel wire mesh use as a Reinforce in concrete. Two Welded wire mesh is connected buy shear connecter of 2mm to 4mm diameter. Up to four story Expanded Polystyrene (EPS) Core Reinforced Concrete Sandwich Panels (RCSP) is using as load bearing wall. And construct structure without beam and column. In this study focus is on comparing G+3 Building using Expanded Polystyrene (EPS) Core Reinforced Concrete Sandwich Panels (RCSP) Located at North Indian city of Sonepat. With Reinforced cement concrete framed structure consist Brick masonry as infill material. In this study building is considered for analysis which is located in zone 5 earth quake region. Static analysis is done using SAP2000 software, soil conditions are to be soft and importance factor is to be taken as 1.2. Various parameters studied like lateral displacement of building, storey drift, base shear, and moment’s and shear force diagrams for a particular beam for both case. Results are represented in graphical as well as in tabular form. The structural members are modelled with the SAP2000 software package. Dead load and live load is considered as per code IS 875:1987 part 1 &2. Keyword: Concrete sandwich Panel, Diagonal Strut, Non-Linear Time History Analysis.
Smart Farming
Authors: Jagtap Onkar J. , Mathapati Revati R. , Bhadule Aditi S. , Kangude Snehal S. , Mule Asst. Prof. Sushma
Published: June 2022

Abstract: Agriculture is the broadest economic sector and plays an important role in the overall economic development of nation. Technological advancements in the arena of agriculture will ascertain to increase competence of certain farming activities. Internet of Things (IoT) technology has brought revolution to each and every field of common man’s life by making everything smart and intelligent. IoT refers to a network of things which make a self-configuring network. The development of Intelligent Smart Farming IoT based devices is day by day turning the face of agriculture production by not only enhancing it but also making it cost-effective. Here we are using Internet of things technologies in Mushroom farming Mushrooms are classified as vegetables in the food world but they are actually fungi. Although they are not vegetables. Mushrooms provide several important nutrients and they have a very important part in the food market. This project mainly focuses of the monitoring of the mushroom farms. The sensors are placed at specific regions of the farm. Which will monitor the status. The control unit is setup with some basic parameters such as temperature. Humidity and gas content that is required for the cultivation when the threshold varies the control unit will trigger the actuators. An intelligent app is designed to check the status of the farm by the user which will be connected with the control unit through server. The app will be a used by the cultivator. Where in the app the status of the farm will be displayed. Once the actuators are triggered the users will be notified with the help of app notification.
To Evaluate the Seismic Response of a Building Having Stiffness Irregularity and Plan Irregularity with Quintuple Friction Pendulum System
Authors: Nakum Amit R , Parikh Dr. K. B.
Published: June 2022

Abstract: Quintuple friction pendulum (QFPS) bearing is a new generation sliding isolation system having multiple spherical sliding surfaces. The friction isolation system with single sliding surface is designed for a specific level of ground shaking, which may prove ineffective in case of other hazard levels. The QFPS bearing on the other hand, exhibits adaptive behavior and imparts greater amount of flexibility to the designer for various levels of earthquake shaking. Here, the effectiveness of Quintuple Friction pendulum system is carried out to study the seismic demands of base-isolated building frames with stiffness irregularities and plan irregularities subjected to various earthquake ground motions i.e. Far field ground motion, near field ground motion with fling step and near field ground motion with forward directivity by comparing their estimates with the benchmark responses obtained by the Non-Linear Time History Analysis (NLTHA). SAP 2000 Software has been used for the same. The two soft storey buildings and two buildings with plan irregularity will be modelled and analyzed. The seismic demands namely, Inter story drift, peak storey acceleration, maximum base shear are considered for the study.The reduction in absolute acceleration is found more in case of PI as compared to SS for all the considered time histories. The reduction in Maximum Base-Shear is found more in case of Plan irregularity as compared to Stiffness Irregularity (Soft Story) in all the considered Time History. In isolated structure, the Inter-storey drift is found to be maximum in case of structure having soft storey as compared to plan irregularity 1 and 2. Keywords: Multi storied RC structures, Plan irregularities, Soft storey, Quintuple Friction Pendulum, Non linear Time History Method(NLTHM)
Detection of DDoS Attacks using Concepts of Machine Learning
Authors: Narote Prof. Amit , Zutshi Vamika , Potdar Aditi , Vichare Radhika
Published: June 2022

Abstract: Distributed Denial-of-Service (DDoS) assaults are the terrorizing preliminaries on the Internet that exhaust the organization transmission capacity. Analysts have presented different safeguard components including assault counteraction, traceback, response, identification, and portrayal against DDoS assaults, however the quantity of these assaults builds consistently, and the ideal answers for this issue have escaped us up to this point. An order of identification approaches against DDoS assaults is given the point of giving profound understanding into the DDoS problem. Although the anticipation of Distributed Denial of Service (DDoS) assaults is preposterous, location of such goes after assumes principal part in forestalling their advancement. In the flooding assaults, particularly new modern DDoS, the assailant floods the organization traffic toward the objective PC by sending pseudo-ordinary parcels. Hence, multi-reason IDSs don't offer a decent execution (and precision) in distinguishing such sorts of assaults. Keywords: Denial-of-Service (DoS), Distributed Denial-of-Service (DDoS), Machine Learning, attacks, attackers, system, cyber, bots.
Weather Forecasting in Python Django with Machine Learning
Authors: Meshram Soumya
Published: June 2022

Abstract: Weather forecasting is that the application of science and technology to predict the state of the atmosphere for a given location and that they are created by collection quantitative information. Soft computing is an innovative approach to construct computationally intelligent systems that area unit supposed to possess human experience inside a selected domain, adapt themselves and learn to do higher in ever-changing environments, and make a case for however they create selections. options like time-to-time update weather Temperatures Update, Last seven days information Predict, weather in each hour as consistent with weather changes. Provide correct information info regarding weather. user will search weather anytime and anyplace. any places data are often search and supply info as consistent with weather. help user to travel. Help User to future plans for holidays. during this model using front-end and back-end techniques like hypertext mark-up language, CSS, Django, python, SQLite+
Development of Cyclic Stress-Strain Curves for Modified Rat-Trap Bond Concrete Brick Masonry from Experimental Investigations
Authors: Shrivastava Dr. Sunil Prasad
Published: June 2022

Abstract: Present study is based upon the experimental results obtained by reloading and unloading of concrete brick masonry samples constructed in modified rat-trap bond under uniaxial compression perpendicular to their bed joints. Considering the advantage of air gap between perpends for thermal comfort, Flemish bond was modified as rat-trap bond using half scale modular bricks (95mm × 95mm × 45mm) and called Modified Rat-Trap bond concrete brick masonry. The air gap created within the wall was filled up with insulating material thermocol (Expanded polystyrene). General polynomial expression has been developed for both reloading and unloading curves separately which were found suitable to predict the behavior of said masonry at any given residual strain. With the help of this parent polynomial, the particular reloading and unloading curves are then developed by transferring the parent equation to stress-strain coordinate. It was observed that the nature of reloading and unloading curves is primarily influenced by plastic strain. A fair consistency was observed between the experimental and computed curves. Keywords: Uniaxial, Perpend, Wallet, Monotonic, Common Point, Stability Point,
KEBIJAKAN PEMERINTAH DI MASA PANDEMI COVID-19 TERHADAP KEMASLAHATAN PERKEMBANGAN UMKM BANDA ACEH
Authors: Dian Fitri Cut , Desiana Rina , Laila Rahmatina Siti
Published: June 2022

Government Policy in the Covid-19 Pandemic Period Agains the Benefits of MSME Development in Ie Masen Kayee Adang Village Banda Aceh enforced a system with theEnforcement of Community Activity Restrictions so as to reduce activities outside the home. This study aims to determine the impact of the Covid-19 pandemic on the development of MSMEs in Ie Masen Kayee Adang Village and government policies during the Covid-19 period for the benefit of MSME development in Ie Masen Kaye Adang Village. This study uses a qualitative descriptive approach by collecting data using the method of observation, documentation, and interview methods. The results of this study indicate that a number of parties related to the presence of the COVID-19 pandemic have had a major impact due to the policy of school and office holidays as well as social distancing. There has been a decline in the income of MSME actors by more than 50%.
STRATEGI BADAN NARKOTIKA NASIONAL DALAM PENANGGULANGAN NARKOTIKA DI MASA PANDEMI COVID-19 DI INDONESIA
Authors: Dewi Ernita , Ulfa Khalida , Safirussalim Safirussalim
Published: June 2022

A survey in Indonesia shows that the range of 2018-2021 from before the COVID-19 pandemic to after the Covid-19 pandemic, narcotics cases increased significantly. The purpose of this study is to analyze the Strategy of the National Narcotics Agency in Preventing Narcotics During the Covid-19 Pandemic in Indonesia. This research uses qualitative and descriptive methods. Sources of data obtained through journals, twitter and websites. The data analysis technique uses Nvivo 12 plus analysis through chart features, twitter sociogram, website. The results showed that the BNN RI strategy in preventing narcotics during the COVID-19 pandemic was through three strategic steps, namely the Soft Power Approach (in the form of prevention activities, community empowerment, rehabilitation and post-rehabilitation so that people have self-defense and deterrence against narcotics abuse), Hard Power Approach (by focusing on strict and measurable law enforcement aspects in dealing with narcotics syndicates) and Smart Power Approach (using information technology in the digital era in efforts to combat narcotics). This strategy is used for sustainable development in the health, economic and social fields of Indonesian society in preventing narcotics crime.
PENDIDIKAN AGAMA ISLAM TERINTEGRASI SEBAGAI PEMBENTUKAN KARAKTER MAHASISWA
Authors: Ibrahim Arfah , Andriyadi Fauza
Published: June 2022

This paper will discuss the role of Islamic Religious Education in Higher Education in shaping the character of students. Integrated Islamic Religious Education (PAIT) is one of the most important pillars of character education. Character education will grow well if it starts from the instillation of a religious spirit in children, therefore PAI material in higher education is one of the supports for character education. Through PAI learning, students are taught aqidah as their religious basis, taught the Koran and hadith as a guide for their lives, taught fiqh as legal signs in worship, teaches Islamic history as an example of life, and teaches morals as a guide for human behavior whether in the good or bad category. bad. Therefore, the main goal of PAI learning is the formation of personality in students which is reflected in their behavior and mindset in everyday life. In addition, the success of PAI learning in schools is also determined by the application of appropriate learning methods.
The Genre of the Story-Parables in Prose by V.I. Dal
Authors: Darensky Vitaliy Yu.
Published: June 2022

The article substantiates the definition of the genre of Dal’s stories and novellas as a story-parable that carries a lesson about the laws of human life. In Dal’s prose emphasis is not so much on the exact external “physiognomy” of human types, but on the deep moral and existential content that is revealed to the reader with their help. The genre specificity of Dal’s prose reflects his Christian worldview, which is similar to the popular one and enriched with reflection and a special artistic gift of the writer. The author of the article demonstrates the reason for the inadequate perception of Dal’s prose in N. Chernyshevsky’s critical assessments. In addition, he refutes the frequent statement that Dal’s “Pictures from Russian Life,” which were to allegedly cover the entire national life, were scattered into fragmented sketches and were not permeated with a single thought. In fact, these “pictures,” although extremely diverse in their subject matter due to the diversity of life itself, are internally clearly united in their general meaning. Dal selected bright stories, generally reflecting the general moral life of the Russian people from the most positive side. Each of these stories carries a deep Christian meaning: in each of them there is a person overcoming or paying his sin, as well as repentance and a general transfiguration and renewal of the soul. Sometimes he shows also the heroic features of the national character. In Dal’s stories-parables an indication of the inner complexity, the dialectic of life, always full of internal contradictions and incomprehensibility, often appears. Dal was the author who accepted the need for updating the genre of the parable. This need was due to the fact that the reader wanted to preserve the genres of traditional culture (fairy tales and parables), but in a new literary form.
Winter in Tomis and “Winter” in Hell: Once More about the Parallels between Dante and Ovid
Authors: Chesnokova Tatiana G.
Published: June 2022

Among the probable sources of “winter” imagery in the last cantos of Inferno a special place belongs to the motif of Scythian winter, developed in detail by Ovid in his “exile poetry” and (before him) by Virgil in the Georgics (III). Despite the absence of direct mentions of Tristia and Epistulae Ex Ponto in Dante’s oeuvre, the majority of modern scholars challenge the statement of E. Moore, who suggested in the late 19th century that later writings by Ovid created in exile may have remained unknown to the author of the Divine Comedy. In correlation with the view of Michelangelo Picone, who, beside tracing the characteristics of Ovid’s winter, also saw in Dante’s wintry parts of Hell a reconsideration of the motif of exile (central to Tristia), the author of the article examines the most important parallels, uniting the Commedia’s first cantica with Ovid’s “exile” verses, namely the description of the solidity of ice covering the river or lake; the hero-author walking on the ice and gazing at beings bound in it; the correlation between winter’s dominance and the escalation of hostility in the relations of persons and tribes; the connection of winter’s setting with the motifs of “death-in-the-life” and the loss of spiritual home; a longing for spiritual Absolute under the reign of winter; potential ambiguousness of “winter” motifs.
EFFECTIVENESS OF FLIPPED CLASSROOM MODEL THROUGH MULTIMEDIA TECHNOLOGY IN IMPROVING STUDENTS’ PERFORMANCE IN DIRECTED NUMBERS
Authors: Ali Haji Muhamad Hafizuddin Haji Mohamad , Asamoah Daniel , Shahrill Masitah
Published: June 2022

The recent globalisation and the emergency of COVID-19 require a teaching and learning environment that encourages the use of technology. Through a mixed-method design and an action research approach, this study investigated the effectiveness of a flipped classroom model through multimedia technology in improving students’ performance in directed numbers, given the difficulty and misconceptions of students in this mathematical concept. A total of 30 Year 9 students conveniently sampled from one of the secondary schools in Brunei Darussalam served as participants. The action taken involved a pretest, intervention, posttest, and interviews. The results of the paired sample t-test revealed that students’ performance in directed numbers significantly improved after the flipped classroom intervention. Students had positive perceptions of the flipped classroom model as it encouraged their readiness, participation, and motivation. Challenges such as time constraints and distractions when studying from home were reported. These results imply that amid COVID-19, a flipped classroom through multimedia technology can be an effective and alternative way of teaching and learning directed numbers. It has the potential of encouraging student-centred learning and creativity, which are vital in teaching and learning mathematics.
Determinación de huellas ambientales, prácticas y estrategias integradas de manejo en sistemas ganaderos de trópico alto
Authors: Páez Barón Edwin Manuel , Puerto López Maly Johanna , Fonseca Carreño Jorge Armando , Corredor Camargo Emma Sofía
Published: June 2022

Más que en cualquier otra época de la historia de la humanidad, la actual generación se enfrenta a diversas coyunturas en temas sociales, económicos y ambientales, pues no ha logrado establecer sus prioridades sobre el planeta. Por un lado, trae el pesado lastre de un modelo económico netamente extractivista, energéticamente dependiente de recursos no renovables, que en su cadena de obtención, transformación y uso dejan una profunda huella ambiental en el planeta, en el mismo sentido, su modelo agroalimentario riñe con los principios básicos de sustentabilidad, pues los dominantes modelos agrícolas de revolución verde, han demostrado alta inequidad en la provisión alimentaria en contraste con los daños que se causan al suelo, al agua y a la biodiversidad. Por otro lado, la actual generación debe dar respuesta a las crecientes voces que, desde diferentes sectores de la sociedad, urgen para que dichos modelos económico, industrial y alimentario, migren hacia tener como principios fundamentales la recuperación y/o preservación de la capacidad natural del planeta, para proveer el sustento en cantidad, calidad y oportunidad para todos sus habitantes. En ese sentido, es prioridad que las fuerzas vivas de la sociedad encaminen sus esfuerzos para transformar sus hábitos, costumbres y quehacer diario por acciones, que redunden en el enfriamiento del planeta, la “descarbonización” de la economía y la solidaridad intercultural.
CRITICAL DISCOURSE ANALYSIS OF ONLINE MEDIA NEWS: MINISTRY OF RELIGIOUS AFFAIRS BANNING ARABIC LANGUGE
Authors: Huda Laila Nabilal
Published: June 2022

The purpose of this research was to describe the micro, mezzo, and macro linguistic aspects of the news discourse ‘Ministry of Religious Affairs banning Arabic language’ on Tempo.co and Republika online media. The news topic has emerged a polemic among the madrasas or Islamic school environments. It is because there are a lot of Indonesian muslim children study at the schools. This research applied descriptive-qualitative method with critical discourse analysis (CDA) approach. The analysis was divided into three dimensions, namely the micro, mezzo, and macro. From the microdimension, in Tempo news, there were found four data of modalities and each two for positive evaluation sentences and assertive verbs. Meanwhile, in Republika, there are two data of modalities and only one from each metaphor and negative evaluation sentence. In the mezzodimension, the scope of Tempo's discourse is not only restricted to the issue on the prohibition of using Arabic language but also of using hijabs or veils. On the other hand, the news of Republika focuses on the banning of Arabic language without associating it to another case. In the macrodimension, both news texts show an alignment to the government, particularly Ministry of Religious Affairs.
Two pregnant women with abnormal hemoglobin tests confirmed to have rare mutations for β-thalassemia: A case series study
Authors: Luo hunjin , Tan Sainan , Li Wenying , Zhou Shu-Xiang , Ni Liu , Yang Yi-Qiong , Zhang Xiao-Min , Huang Pinghong , Yi Huijian , Yang Xiaodong
Published: June 2022

Thalassemia is a well-understood genetic disorder, and routine genetic
tests typically cover 95% of known genetic mutations. Discordance
between the clinical phenotype and genotypes suggest that expanded
genetic studies should be performed to look for rare mutations.We report
two pregnant women at 17 week gestations. Routine laboratory and geneti
Antiviral Therapy Defiant Polyviral Retinitis Post Hematopoietic Allogeneic Stem Cell Transplant
Authors: Gabarin Nadia , Roy Mili , Kaplan Alexander J. , Haider Shariq , Khalaf Dina
Published: June 2022

Cytomegalovirus (CMV) retinitis is an uncommon presentation post
allogeneic transplant and can be vision-threatening. This case
demonstrates the occurrence of mixed viral retinitis (CMV and varicella
zoster virus) post allogeneic stem cell transplant despite multiple
prophylactic antiviral therapies, and features CMV retinitis in the
absence of CMV DNAemia.
A Market Based Electricity Capacity Mechanism Model for Turkey
Authors: KÖLMEK Mehmet Ali , MENLİK Tayfun
Published: June 2022

Market players in a liberalized electricity sector are subject to trading energy through bilateral agreements or organized platforms. Energy-only trading through those venues might fall short in providing the required conditions for system reliability due to the well-known phenomenon of “missing money problem”. In order to avoid unintended loss of load, additional market mechanisms were developed in time. Several markets utilized capacity remuneration mechanisms to secure the system reliability through market-based or non-market-based models. Specifically, in Turkish electricity market, the regulator has implemented “direct payment” approach where generators fulfilling pre-determined conditions receive remunerations based on their installed capacities. This mechanism can be considered as a “quasi-market-based” model due to links to the market price formation. However, in principle, it should be categorized as a non-market-based model due to direct payments based on installed capacity levels. In this study, existing capacity remuneration mechanism in Turkey is analysed, an alternative market-based auctions model is developed and its results are simulated via Monte Carlo analysis. The study also elaborates on comparative advantages of the proposed market-based model over the existing approach and why it is a better option to preserve system reliability while being fully compliant with the electricity market reform goals.
Appraisal in translational novel A Thousand Splendid Suns from English to Indonesian language
Authors:   Master linguistics, Faculty of Cultural Sciences, Universitas Gadjah Mada, Munir Mohammad Rizaqi , Baskoro Bernardinus Realino Suryo ,   Master linguistics, Faculty of Cultural Sciences, Universitas Gadjah Mada
Published: June 2022

This research aimed to analyze appraisal system in the translation novel entitled A Thousand Splendid Suns. The method is descriptive comparative using appraisal theory by Martin and White. The results show that the three appraisal systems, namely attitude, engagement, and graduation, were found with different numbers which indicated differences in assessment between writers and translators. The analysis concluded that the equivalence of the appraisal system needs to be carried out to keep the author’s emotions, feelings, or attitudes in target text through evaluation language by the translator. It will also improve the quality of the translation.
Aplikasi model berbasis masalah dalam membaca bahasa Prancis bagi mahasiswa
Authors:   Universitas Lampung, Rosita Diana
Published: June 2022

The problem’s discussion of this research is comparing the application of Problem Based Learning Model (PBL) with conventional teaching in learning achievement of French reading skill for students of first semester students of French education program of Faculty of Teacher Training and Education of Lampung University in academic year 2015/2016. The purpose of this research is to know or describe (1) level in reading ability of French, (2) difference of median score of French reading skill’s achievement of the students who are taught by problem based learning with conventional teaching. The method of this research is used an experimental method. By knowing the hypothesis, the researcher uses t-test formula. To get the data of French reading skill, the researcher is used a test measurement. The result of the data analysis is as follow: 1) the population comes from the students of the first semester. Sampling technique will be used lottery technique, from the population of normal distribution and has homogeneous variety, 2) proposed hypothesis “Median achievement score of French reading skill of the students who are taught by problem based learning model is higher than median achievement score of French reading skill achievement of students who are taught by conventional teaching”, 3) level of reading skill of French student’s achievement in French education program of Faculty of Teacher Training and Education of Lampung University in academic year 2015/2016 is considered to be good, with a median score 75 and 4) the result of this research with the population of Fench education program of Faculty of Teacher Training and Education , first semester in academic year 2015/2016. The hypothesis is accepted if sign more than α. In this case, the significance level is 0.05, meaning only 5% are error and 95% correct. Keywords : problem based learning, French reading skill.
Kesalahan pembentukan kata bahasa Indonesia tulis mahasiswa BIPA
Authors:   Universitas Lampung, Rusminto Nurlaksana Eko
Published: June 2022

Abstrak Penelitian ini bertujuan untuk mendeskripsikan kesalahan pembentukan bahasa Indonesia tulis mahasiswa yang belajar bahasa Indonesia bagi penutur asing (BIPA) di Universitas Lampung. Secara khusus, tujuan penelitian ini adalah sebagai berikut: (1) mendeskripsikan bentuk-bentuk kesalahan penggunaan imbuhan (afiksasi) dan pengulangan (reduplikasi); (2) mendeskripsikan kesalahan pembentukan kata berdasarkan taksonomi siasat permukaan; dan (3) mendeskripsikan kesalahan pembentukan kata berdasarkan taksonomi efek komunikatif. Penelitian ini bersifat deskriptif kualitatif. Data penelitian yang bersumber dari tulisan-tulisan para mahasiswa BIPA, berupa kesalahan pembentukan kata bahasa Indonesia tulis mahasiswa BIPA dalam kegiatan pembelajaran BIPA di Universitas Lampung. Analisis data dilakukan secara deskriptif berdasarkan kategori taksonomi siasat permukaan dan taksonomi efek komunikatif. Hasil penelitian menunjukkan bahwa kesalahan pembentukan kata bahasa Indonesia tulis mahasiswa BIPA di Universitas Lampung didominasi oleh pembentukan kata dengan menggunakan imbuhan, yakni sebesar 78%, sedangkan 22% sisanya berupa kesalahan penggunaan reduplikasi. Berdasarkan taksonomi siasat permukaan ditemukan bahwa terdapat 33% kesalahan penambahan, 39% kesalahan penghilangan, dan 28% kesalahan pembentukan, sedangkan berdasarkan taksonomi efek komunikatif, ditemukan 65% kesalahan lokal dan 35% kesalahan global. Implikasi dari temuan dalam riset ini serta saran untuk penelitian lebih lanjut juga dibahas. Kata Kunci: kesalahan pembentukan kata, bahasa Indonesia tulis, mahasiswa BIPA
Persepsi mahasiswa tentang perubahan tradisi pola makan orang Prancis
Authors:   Universitas Lampung, Ikhtiarti Endang , Rosita Diana ,   Universitas Lampung, Rini Setia ,   Universitas Lampung
Published: June 2022

Penelitian ini bertujuan untuk mendeskripsikan persepsi mahasiswa tentang perubahan tradisi pola makan orang Prancis pada masa lalu dan perubahan tradisi pola makan orang Prancis dewasa ini ( studi kasus pada mata kuliah civilization francaise Prodi S1 Pendidikan Bahasa Prancis FKIP Unila). Metode yang digunakan adalah metode deskriftif kualitatif, data dikumpulkan dari hasil kuosioner dan wawancara pada 27 mahasiswa. Perolehan nilai terendah berada pada nilai 71,11 sebanyak dua orang dan perolehan nilai tertinggi pada nilai 86,66 sebanyak dua orang. Kesimpulan (1) Sejumlah mahasiswa (77,77%) berpendapat bahwa tradisi pola makan tradisional orang Prancis pada masa lalu itu sehat karena bergizi seimbang, mengandung vitamin,serat, karbohidrat, protein, mineral. Disisi lain tradisi pola makan tradisional tersebut turut melestarikan warisan leluhur yang tercermin dalam gastronomi Prancis yang kaya akan masakan/kuliner khas daerah. (2). Sejumlah mahasiswa (77,77 %) dengan total skor rata rata nilai 76,904, berpendapat yakin (positif tanpa diragukan lagi) bahwa telah terjadi perubahan tradisi pola makan orang Prancis dewasa ini. Dari pola makan tradisional secara table manner menuju ke pola makan cepat saji (fast food/ junk food), karena anak muda dan para pekerja ingin lebih efisien waktu, simpel, enak, cepat saji, bergengsi dan lebih murah harganya, walaupun sebenarnya fast food/ junk food tidak baik untuk kesehatan. Kata Kunci: Persepsi, Pola Makan, Orang Prancis
Attitude dan graduation pada cuplikan novel Rich People Problem dan novel terjemahan Masalah Orang Kaya: Analisis berbasis korpus
Authors:   Universitas Indonesia, Alfetty Cessara , Dewi Haru Deliana ,   Universitas Indonesia
Published: June 2022

This research analyzes a corpus-based appraisal from the subsystem of attitude and graduation (force) with Kevin Kwan’s Rich People Problem and its Indonesian translated novel Masalah Orang Kaya as the main data. This study aims to see which type of attitude has the highest frequency, and whether or not there is a graduation change of the attitude in the translated novel. The method is descriptive qualitative, using appraisal theory, and AntPConc software. The result shows that all types of attitudes occur in the translated novel, and they are affect, graduation, and judgment. The most prominent attitude found in the excerpt is judgment with 29 in total, followed by affect with 21 in total, and appreciation with 18 in total. There are 16 types of judgment that change its graduation and 13 types of judgment do not. Out of 21 types of affect in the data, 7 changes in the graduation and 14 do not change. Lastly, out of 18 types of appreciation, 9 changes in graduation and the other 9 do not change. The novel shows that each character in the beginning of the story gives appreciation towards each other, in each situation, and materials mentioned in the story line. Keywords: translation, critical discourse analysis, attitude, graduation, linguistic corpus.
Efektivitas Ekstrak Daun Jambu Biji (Psidium Guajava l.) Sebagai Inhibitor Pada Baja Karbon St37 dalam Medium Korosif NaCl 3%
Authors: Mardiana Dian , Ginting Ediman , Riyanto Agus
Published: June 2022

The effectiveness of guava leaf extract as an inhibitor of St37 carbon steel in a corrosive medium of 3% NaCl had been researched. The concentration of guava leaf extract inhibitor was used 0%. 3%. 5% and 7% with immersion time of 4 and 8 days. Corrosion rate testing was done by weight loss method. The results of the research at each immersion time, showed that the optimum concentration of leaf guava extract to inhibit corrosion is 7% and the longer time immersion resulted in decreasing corrosion rate on St37 carbon steel. The maximum effectiveness of inhibitor occurred at 7% concentration with 8 days immersion time which is 70,12%. Characterization using Scanning Electron Microscopy (SEM) in sample St37-4-7 and St37-8-7 not all surfaces corroded, but on samples St37-4-0 and St37-8-0 almost all samples were corroded. This is reinforced with eds results in which sample St37-8-0 and St37-4-0 have a lower FeO content than sample St37-8-7 and St37-4-7. The X-Ray Diffraction (XRD) result shows that the phase was Fe.