bluuebunny/crossref_metadata_2025 huggingface dataset:
Style-based Image Manipulation Using the StyleGAN2-Ada Architecture
Authors: Lu Yuhong
Published: April 2023

Style-based image manipulation is to fuse the types of two arbitrary images, which is a popular task in computer vision. StyleGAN is a sophisticated architecture for generating images of high qualities. The framework allows the generator to operate on a latent space that is disentangled and allows us to do scale-specific manipulation on the semantic information of the generated images. In this paper, the author managed to fuse the styles of two given images on a controllable degree. The resultant images have natural appearances approximating real human portraits. Our method provides qualitative results for style-fusion of two given images, which achieves satisfy. Since StyleGAN offers an unraveled latent space representing disentangled semantics, the author hopes to use it on tasks like GAN inversion and manipulate images in a fine-grained control, which is the future work.
Automated Accessibility Evaluation of Mobile Applications on Initial Stages of Design and Development
Authors: Kashif Lyba , Faisal CM Nadeem , Mahmood Toqeer
Published: April 2023

The growth of users' reliance on smartphones increases as new features and functions are continuously added to these technologies. Accessibility is an essential characteristic of information architecture in interface design research. There is a need to focus on accessibility to minimize the efforts, cost, and time during mobile application design and development. Most of the applications available on the App/Play Store lack the accessibility guidelines during development because implementing these aspects requires sufficient time and resources. Especially start-up companies normally ignore accessibility because it requires additional resources. However, perceivable design may increase profits, downloads, and reputation. Thus, the designer should ensure that their applications are perceivable and usable to satisfy the individuals. The underlying research intends to develop an automated accessibility analysis and design evaluation tool for mobile applications. Accordingly, the researchers developed a solution as a plugin for Figma. Further, the authors selected seven important techniques from the WCAG 2.1 success criterion. Finally, the proposed solution evaluates the designed screen (frame) and generates results in the report form. The proposed automated solution based on the success criterion helps the application's developers and is also useful for related stakeholders by filling the gap in the existing design related tools.
Design Scheme of Intelligent Robot Based on Crawler Sports Chassis
Authors: Lyu Yifei
Published: April 2023

The chassis structure design of mobile robots is currently separated into four categories: wheel type, mechanical leg type, McNair wheel type, compound type, and crawler type, with wheel leg type, common crawler type, and wheel crawler type being under compound type. A formula Complex application scenarios frequently limit the robot's passibility throughout the actual application process. A new robot design plan is offered to overcome this problem: an intelligent robot built on a crawler-type moving chassis. To achieve the robot's astute observation of the surrounding environment, the advantages of wheeled and legged robots will be organically merged, and intelligent control terminals will be included in the hardware design. The mechanical framework will be built on a traditional crawler chassis, with leg guiding added. The crawler actuator of the structure will drive the crawler actuator of the leg-guided design to enable the robot to get out of problems in the face of challenging terrain conditions such as stairs, steps, and steep slopes. This work proposes an intelligent robot design strategy based on crawler motion chassis with high practicability, novelty, and broad applicability.
Big Data Analytics and Implementation Challenges of Machine Learning in Big data
Authors: P. Rajeswari , E. Sathishkumar V , Anilkumar Chunduru , Thilakaveni P , Moorthy Usha
Published: April 2023

The term "big data" refers to an information processing system that combines different conventional data techniques. Big data also includes a large amount of personally identifiable and authenticated data, making privacy a major concern. Various techniques have been developed to provide security and efficient data processing. Machine learning is a form of data technology that deals with one of the most important and least understood aspects of the data collected. Deep learning algorithms, similar to machine learning algorithms, learn programmers automatically from data and are thought to improve the efficiency and security of large data sets. The efficiency of machine learning and deep learning in a sensitive environment was evaluated in this paper, which reviewed security problems in big data. This paper begins by providing an overview of machine learning and deep learning algorithms. The research then moves on to machine learning problems and challenges, as well as potential solutions. The investigation into deep learning principles of big data continues after that. Finally, the report examines approaches used in recent research developments and concludes with recommendations for the future.
The Technology Statues and Trend of Path Planning of Logistics Robot
Authors: Li Xiaoying
Published: April 2023

In recent years, the application of logistics robots has become an important means for logistics enterprises to compete in the market. Using logistics robots to pick or transport goods can effectively improve storage efficiency, and how to obtain the optimal path for logistics robots are the focuses of research. This paper introduces the research status and algorithm of logistics robot path planning, and analyzes the research trend and direction of logistics robot path planning technology according to different research. Automated navigation vehicles in logistics robots are developing rapidly, and the safety and efficiency of effective cooperation between AGS have been greatly improved. In terms of algorithms, the main algorithms currently used are A*, Q-learning and genetic algorithm, and the robot has achieved global path planning and path planning in a dynamic environment. At present, the main objective of scholars in robot path planning is to find the shortest walking path in the shortest time. However, in a diversified environment, the objective of robot path planning will be more specific and more realistic.
Strategy recommender for stock options in india using deep learning and live stock data from NSE
Authors: A. Revathi , Anilkumar Chunduru , M. Vimaladevi , Laddha Nikil
Published: April 2023

An Option is a financial instrument, which is extensively used in share markets, money markets, and commodity markets to hedge the investment risks. It acts as financial leverage investment and is a kind of derivative instrument along with forwards, futures and swaps, which are used for managing risk of the investors. Though derivatives are theoretically risk management and leveraged investment tools, it is mostly used as speculative tools. The objectives of this work is to build a positional stock trading strategy in derivatives (Options) and recommending the users the strategy based on the predicted price of the stock, and, to generate P&L charts and Payoff graphs based on different Options strategies selected by the user. For this, the stock market data is collected from various online sources such as NSE, and BSE websites. The contributions of this work include, a comparison of various strategies and to predict the range of the stock based on Implied Volatility (IV); providing the user with the Option Chain and enable to calculate several Options indicators like PCR, Max Pain; and, the implementation of machine learning algorithm (LSTM) to predict the sentiment of the stock. An interactive web application for users is created, which provides consolidated data in the form of a dashboard from where the users can analyse the stocks and make strategic decisions on procuring stocks.
Hybrid spam message detection using convolutional neural network and long short-term memory techniques
Authors: Olotu Samuel Ibukun , Daramola Oladunni Abosede
Published: April 2023

Short Message Service (SMS) is a feature of a mobile phone that enable convenient and instant way of sending electronic messages between users. As SMS usage increases fraudulent text messages, known as spam, are becoming more common. Spam SMS may result in leaking personal information, invasion of privacy or accessing unauthorized data from mobile devices. Users of mobile phones can mistakingly give away personal information with the assumption that they are sharing it with the right recipients. This work propose a SMS spam detection method that combines convolutional neural network (CNN) and long short term memory (LSTM) deep learning algorithms. The CNN is used for feature extraction while the LSTM classifies the message. The SMS spam dataset, collected from online repository, is used to train the model. Word embeddings is used to vectorize the words in the message to make it suitable for the model. The result obtained from the implementation outperforms other machine learning algorithms with an accuracy of 99.77%.
Revealing the Nature of Strong Lensing System J1436+4943 with Only the MaNGA Data
Authors: Wan Zimen
Published: April 2023

Strong gravitational lensing is a powerful tool for probing the mass content of the Universe. Both high-resolution imaging and spectroscopy observations are important for identifying and measuring the properties of the lensing object. The strong lensing system J1436+4943 was discovered in the SDSS-IV MaNGA survey and further observed with the FOCAS IFU spectrograph on the Subaru Telescope. We investigate whether comparable properties, e.g., the Einstein radius can be obtained using only MaNGA data cubes. The result shows that the general properties of the lens system can be recovered but the Einstein radius is different from the result with FOCAS IFU data by less than 25%. The MaNGA data cubes are helpful for fast analysis of large samples and to study the statistical properties of gravitational lensing systems.
A Survey and Test of the Face Detection Model Based on Yolov5
Authors: Zhao Neng , Qin Zihan
Published: April 2023

Major surveys and papers illustrate how deep learning model performance in face detection and output many excellent tools and model to solve the problem. It boosts many people trying to use them on specific issues; they need to train the model and get the hyperparameters. However, many people are not familiar with the structure of the model, and there are plenty of parameters that make experiments more complicated; the report tries to collect and conclude some methods of experiments. This report provides a survey of the recent research in deep-learning-based face detection and the corresponding form of design of the investigation. At first, this work will do a literature review about the deep learning model, separated into three kinds (CNN R-CNN SSD). They all symbolize their series and illustrate why the work recommends the Yolo series as a pipeline. Then, the work tries the most straightforward method, OVAT, which analyzes the results, then has a discussion, and tries to give an idea for future work.
The Security Algorithm ESS-BR22-002 for enhancing the security of the data
Authors: Rajaprakash S. , Indirajith T
Published: April 2023

The information age data is impressively more critical in open life, since people's prosperity data just finished up whether or not COVID'19 affected, and besides associated with all clinical issues data. These data used to inspected and expect the clinical issues data by Machine Learning Algorithm, and a while later expected data need more prominent security. Along these lines, we applied the ongoing procedure ChaCha method and that system focused in fig-uratively speaking "encryption execution" so security is less. In this paper, to apply the new ES-BR22-001 methodology and this strategy has 8 stages. The 1st stage is finding the K value. The 2nd stage is applying the K value, that is n is the order of matrix and Sk is start from intial values. The 3rd stage is find the Sk values. The 4th stage is to apply the Sk values in the sparse matrix. The 5th stage is sparse matrix values is converted into single line. The 6th stage is pair all the values. The 7th stage is all pair values will be apply in the matrix. The fi-nal stage is apply the Salsa operations in the matrix. The new ESS-BR22-002 method has provide security and performance are good while compared to ChaCha method.
Glaucoma Detection Using Fundus Images of the Retina
Authors: A. Adithya N , S. Anusha S , S. Arpitha , P. Lakshitha , D. Divya C
Published: April 2023

In the paper that we are proposing we make use of the image processing technique that can be further used to detect or predict whether the eye is glaucomatic which leads to increase in the size of the optic cup in turn affecting the optic disc. Glaucoma being the second major reason for blindness was very difficult to detect in the early stages. Here in this paper, we make use of the retinal fundus images and glaucoma is being detected using the features that we extract from the fundus images. The first feature that we extract includes one of the basic physiological parameters which is the Cup to Disc ratio (CDR) and the second feature that we extract is the neuro retinal rim which has the inferior, superior, nasal and the temporal quadrants often called the ISNT quadrants which can be used to detect glaucoma in the fundus image of the eye.
Artificial Intelligence-based Musical Instrument Accompaniment System
Authors: Chen Kevin P
Published: April 2023

The string learning process requires students to be able to accurately grasp the accuracy of notes and rhythms in the process of playing, and its evaluation is usually done by instructors, but long one-on-one instruction is difficult to achieve in actual teaching. In this project, through the research of audio hardware systems and digital signal processing software technology, I design a string performance recognition robot system combining hardware and software, to realize automatic accompanying practice. The hardware of this system consists of a Raspberry Pi card-type computer, recording equipment, and cueing equipment. The software system processes the audio signal collected by the microphone through artificial intelligence technology and digital signal processing technology to realize the recognition of notes, intensity, and other elements according to the frequency characteristics of string instruments. The accuracy of the user's performance is judged by comparing the recognition result with the content of the score, and the user is guided by real-time hints through the display system. The experimental results show that the system can recognize 99% of the string audio with good recognition stability, so it can give accurate and timely performance guidance to the player.
IOT and Deep Learning Assisted Smart Agriculture System for Plant Disease Identification
Authors: S. Selvaraj , R. Thangarajan , C. Santhosh , K. Vikash Raj T
Published: April 2023

Agriculture employed more than 50% of labours and contributed nearly 18% to country's GDP. India is the leading producers of Many crops, such as wheat, rice, lentils, cotton, peanuts and perishable products but in recent years, the percentage of people getting into agriculture has been reduced. Crop disease and incorrect maintenance of humidity and moisture is the major reason that makes new farmers frustrated. Developing a deep learning model, that can identify the crop disease with high accuracy, and using this model one can easily identify the crop disease which makes easier for them treat the crop with pesticide, so that we cant wait for the experts. Using the IOT architecture to find the humidity and soil moisture of the field so that the farmer can maintain the correct level of humidity and soil moisture through irrigation, sometimes extreme high and very low moisture and humidity leads to diseases. An enhanced classification model was suggested in this paper to classify leaf diseases. Dataset with more than 10000 images is used for image classification. Classification accuracy is achieved using AlexNet model and it came out to be the highest in comparison to other models, and IOT part using the Raspberry pi 3 kit with soil moisture and humidity and soil moisture sensor.
Influence of porcine parity on colostrum cytokine levels and their passive transfer to piglets
Authors: Bastos Ana Paula , Maciag Shaiana , Bovolato Ana Livia de Carvalho
Published: April 2023

The limited ability of newborn piglets to produce cytokines may influence lymphocyte development and response to antigen exposure. As a result, colostrum intake is crucial because it contains nutrients that contribute to immune system development in piglets. Our goal was to investigate the effect of sow parity on the transfer of maternal cytokines to nursing piglets. Sixty piglets from nine sows were divided into six groups: piglets from gilts or sows kept with their dams and allowed to suckle normally; piglets from gilts or sows having their dams exchanged and then allowed to suckle normally; piglets from gilts or sows isolated from their dams and bottle-fed a commercial milk replacer formula for pigs. All piglets remained in the diet groups for 24 hours after birth. Concentrations of cytokines in colostrum and serum of gilt/ sows and serum of piglets were then evaluated. The 13 evaluated cytokines had higher concentrations in colostrum and serum of sows than in gilts. Concentrations of GM-CSF, IFNγ, IL-1α, IL-1β, IL-2, IL-4, IL-6, IL-10, IL-12, IL-18, and TNFα were higher in piglets suckling sows. Piglets that received commercial formula showed higher concentrations of the cytokines IL1-RA and IL-8 than piglets fed colostrum. This outcome can influence piglets’ development into adulthood. In short, our findings demonstrated that maternal parity influenced colostrum cytokine composition and its maternal transfer patterns.
Diferentes rochas moídas no processo de compostagem em Unaí/MG: fertilizante orgânico e autonomia agrícola
Authors: Höfig Pedro , Martins Éder de Souza , Giasson Elvio , Arantes Bernardo Santos
Published: April 2023

Já se tem o conhecimento de que não é possível garantir a segurança alimentar para a população apenas com o uso de fertilizantes sintéticos e solúveis em água. Este trabalho teve como objetivo avaliar o processo e o produto final da compostagem conjunta de resíduos orgânicos com rochas moídas como remineralizadores, tendo avaliado o uso de calcixisto, mica xisto e fonolito. Os demais componentes utilizados para a produção do composto foram cama de bovino, silagem, casca de café e gesso agrícola. Ocorreu uma compostagem eficiente em todos tratamentos, demonstrado pela caracterização da fase termofílica, pela ausência de coliformes totais e pela de germinação de plantas espontâneas. O tratamento com mica xisto produziu o composto no qual ocorreu a menor diminuição relativa de potássio entre as matérias primas originais e o produto final, o que, geralmente, caracteriza uma melhor relação entre custo e benefício.
Reflexões sobre a geopolítica do conhecimento
Authors: Cichoski Pamela , Rubin-Oliveira Marlize
Published: April 2023

O capítulo de livro intitulado “¿Conocimiento para qué? ¿Conocimiento para quién? Reflexiones sobre la universidad y la geopolítica de los saberes hegemónicos”, de Edgardo Lander, compõe o livro “Des/descolonizar la universidad”, organizado pela professora Zulma Palermo e publicado pela Editorial Del Siglo em 2015. Contém, ainda mais cinco textos, de diferentes autores vinculados a discussão sobre o pensamento latino-americano e reflexões sobre a crise da modernidade, os desdobramentos da globalização sobre as sociedades e os caminhos para a formação de uma universidade pluriversal.
Monitoring of Coastal Geo-Environment for Hazard Mitigation: A Case Study of Machilipatnam Region, Andhra Pradesh, India
Authors: Ramana Murty M V , Ravi Kumar Ch , Srinivasu K , Kannan R , Sundar B
Published: April 2023

The coastal zone is highly dynamic, which responds in various ways to human interventions and extreme weather events. Tropical storms cause enormous damage to the coastal region and its communities during landfall. Many of the world’s largest deltas are densely populated and are increasingly vulnerable to natural disasters. The Krishna district within the river delta, is amongst the few districts with very high proneness to cyclone hazards. Machilipatnam in Krishna district is one of the oldest coastal towns in Andhra Pradesh, situated on a series of ancient beach ridges. Two major storms struck this region in the last half-century causing large scale devastation. The extent of inundation from multiple flood events can be a very good indicator for flood hazard zonation. The lateral expansion of Machilipatnam town is analysed in GIS environment based on time series satellite data. The developmental activities in the near shore zone are modifying the pristine coastline configuration. This is evident from shoreline monitoring. It is observed that there is a net increase in the extent of mangroves, indicating a better protection to the town against tropical storms. The unplanned growth of aquaculture may be an amplifying factor for coastal flooding, particularly if it is interfering with the drainage system. In addition to the existing flood protection measures, the areas suitable for shelter belt plantation and mangrove regeneration are identified for coastal vulnerability reduction.
Comparative standardization studies of marketed Polyherbal tablets
Authors: Mubeen Ahamed Mueen , A Atchaya , S Ilakiya , Banu U Rasitha , K Rojamani , S Vijayalakshmi
Published: April 2023

Siddha and Ayurvedha is one of the oldest traditional systems of medicine in the world. There are different formulations which are adequately increase delivery of the drug to our body sites; one of basic formulation is tablet. Tablet is one of the conventional formulations in solid oral dosage form, which are usually used in traditional system of medicines and allopathic medicines. Allopathic formulations like tablets usually maintaining their standards based on the various pharmacopoeia but Ayurvedhic and Siddha proprietary medicines shows lots of troubles in their standardization parameters, why because they consist of multiple herbal crude drugs in one formulation, so it should be prescribed with proper standardization parameters. The present work deals with to evaluation two marketed formulation by performing basic quality control parameters of tablets such as Organoleptic properties, Weight variation, Hardness, Friability, Disintegration of herbal tablets {Alsactil [A] and Alsarex [B]} From the analysis of above parameters, results was observed and all the parameters of both drugs passes the test, within the reference values.
Türkiye’de Ücret Eşitsizliğinin Belirleyicileri Üzerine Bir Araştırma
Authors: BERKE Burcu
Published: April 2023

Dünyada gelir eşitsizliğinin varlığının tespitine yönelik giderek artan bir literatür mevcut iken, uzun dönemde bu eşitsizlik büyüme ve ekonomik krizleri olumsuz etkileyebilmektedir. Bir diğer mesele ise ücret eşitsizliği veya gelir düzeyinde giderek azalan ücret paylarının olası nedenlerinin araştırılmasıdır. Düşük ücretler, tüketimi daraltıp teknolojik yenilik ve verimlilik artışını olumsuz etkilemekte ve eşitsizlik ile sosyal harcamaları giderek arttırmaktadır. Dünyada işgücünün pazarlık gücünün azalması, ticaret ve sermayenin küreselleşmesinin yanı sıra teknolojinin hızlı yayılımı nedenleriyle hem gelişmiş hem de gelişmekte olan ülkelerde ücret paylarının düştüğü görülmektedir. Türkiye’de ücret payları giderek azalmasına karşın konunun yeterince araştırılmadığı veya bir anlamda ücret eşitsizliğinin belirleyicilerinin detaylı olarak ortaya konulamadığı söylenebilmektedir. Bu çalışmanın temel amacı Türkiye’de 1988-2020 dönemi için ücret eşitsizliğinin makroekonomik belirleyicilerini ARDL yöntemini kullanarak tespit etmektir. Çalışmada uzun dönemde işsizlik oranı, dışa açıklık, kamu tüketimi veya harcamaları ve enflasyon oranındaki artışlar ücretin ulusal gelirden aldığı payı (ücret payı) azaltırken, yatırım ve büyüme oranlarındaki artışlar ise ücret payını arttırmaktadır. Bir anlamda Türkiye için ücret eşitsizliğinin azaltılması yatırım ve büyüme oranlarının artmasına bağlıdır. Bu sonuçlar konuyla ilgilenenler için önemli politika implikasyonlarına sahiptir
Karar İncelemesi: Fiili ve İtibari Hizmet Süresi Zammı
Authors: ÇOPUROĞLU Çağlar
Published: April 2023

Uzun vadeli sigorta kolları kapsamındaki yaşlılık sigortası kolundan sağlanan yaşlılık aylığı; aylık bağlama koşullarındaki farklılıkları ile birlikte 506, 1479 ve 5434 sayılı Kanunlarda da yer almakta ve 5510 sayılı Kanun’un Geçici 1. maddesi gereğince bu Kanunun yürürlüğe girdiği tarihten önce anılan Kanunlara tabi olanlar hakkında uygulanmaya devam edilmektedir.
Sigortalıların hizmetlerinin geçtiği hukuki statü ve tabi olunan kanunlar farklılık gösterebildiğinden, bu hizmetlerin birleştirilmesi gerekmektedir.
5510 sayılı Kanun’un atıfları dolayısıyla, yaşlılık aylığına hak kazanmak bakımından, uygulanacak olan kanun 5510 sayılı Kanun değil, sigortalıların önceki dönemde kapsamına girdikleri (tabi oldukları) kanundur. Dolayısıyla sosyal güvenlik sistemimizdeki eski üçlü yapı esas alınarak 506, 2925, 1479, 2926 ve 5434 sayılı Kanunlar, yaşlılık aylığına hak kazanmak bakımından önem arz etmektedir.
506 Sayılı Sosyal Sigortalar Kanunu’nun Ek 5, 5510 sayılı Kanun’un 40 ve 5434 sayılı Kanun’un 32. maddesinde düzenlenen itibari ve fiili hizmet zammı sürelerinin aynı amaca hizmet eden hukuki düzenlemeler olarak Kanun’da yer aldığı kuşkusuzdur. Sosyal güvenlik hukukunda ilgili düzenlemelerin hukuki niteliği, lafzından öncelikli olarak dikkate alınmalıdır. Dolayısıyla yapılması gereken, sigortalının sigortalılığına eklenecek fiili/itibari hizmet süresi zammını, çalıştığı dönemle orantılı olarak, hizmetinin geçtiği döneme eklemek ve sigortalının kademeli geçiş hükümleri karşısındaki durumunu buna göre belirlemektir.
21. Yüzyılda Türkiye'de ve Dünya'da Engelli Kadınların Çalışma Hayatında Yaşadıkları Sorunların Ulusal ve Uluslararası Yasal Düzenlemelere Rağmen Devam Etmesi Paradoksu
Authors: ÇILĞIN Turgut
Published: April 2023

Dezavantajlı gruplar olarak kabul edilen engellilerin ve kadınların, sosyal ve ekonomik anlamda yaşadıkları kendine has zorluklar bulunmaktadır. Bu iki dezavantajın birleştiği engelli kadınlar ise çifte dezavantajlılık olarak tabir edilen, engelli olmanın ve kadın olmanın sosyoekonomik hayatta yarattığı çifte zorluklar ile mücadele etmek zorundadır. Engelli kadınlar, sosyoekonomik hayatın birçok alanında engelli olmayan tüm bireylere ve engelli erkeklere göre yoksulluk, dışlanma ve benzeri sorunları daha yoğun yaşamaktadır. Bu iki dezavantajın tek bir bireyde birleşmesinin yarattığı zorluklar bu alanda yapılan düzenlemelere rağmen devam etmektedir. Bu çalışmada, engellilik ve kadınlık olgularına dair kavramsal sorgulamalar ile oluşturulan zemin üzerinden hareketle, engelli kadınların sosyoekonomik hayatta yaşadıkları sorunlar, bu sorunların giderilmesine yönelik uluslararası kuruluşlar ve Türkiye’de yapılan yasal düzenlemeler literatür taraması ve doküman analizi yöntemleri kullanılarak araştırılmıştır. Araştırma sonucunda, yapılan yasal düzenlemelerin yeterli ve makul seviyede olduğu, buna rağmen engelli kadınların, geçmişe göre azalma ve düzelme eğilimine girse de yine de çalışma hayatında değişik boyutlarda sorunlarla karşılaşmaya devam ettikleri görülmüştür. Bu paradoksun nedeninin, yasal düzenlemelerin hayatta karşılık bulması için gerekli olan toplumsal farkındalığın ve bilincin yeterli olgunluk düzeyine ulaşmaması olduğu görülmektedir. Çözüm için ise yasal düzenlemelerin toplumlar tarafından içselleştirilerek bir bilinç haline getirilmelerini sağlamak amacıyla, farkındalık ve eğitim çabalarının akademik çalışmalar eşliğinde sürdürülmesi gerektiği önerilmiştir.
HUBUNGAN ANTARA ASUPAN ZAT GIZI MAKRO DENGAN PERSENTASE LEMAK TUBUH PADA ATLET SEPAK BOLA PROFESIONAL
Authors: Kuswari Mury , Gifari Nazhif , Putra Septia Mandala , Himarwan Aditya
Published: April 2023

Komposisi lemak tubuh memainkan peranan penting dalam performa atlet, sehingga target komposisi tubuh perlu diperhatikan. Kebutuhan energi dan zat gizi makro atlet sepak bola bervariasi tergantung musim pertandingan. Penelitian ini bertujuan untuk mengetahui hubungan antara asupan zat gizi makro dan energi terhadap persen lemak tubuh total dan viseral. 11 subjek dari klub sepak bola PS TIRA PERSIBO dinilai asupan zat gizi makro menggunakan sistem recall 1x24 jam dan diambil data komposisi badan dengan BIA pada masa pramusim pertandingan. Hasil penelitian menunjukkan bahwa tidak ada hubungan antara asupan zat gizi makro dengan komposisi lemak tubuh total dan lemak viseral. Semua subjek mengalami defisiensi zat gizi makro dan energi. Hal ini perlu diperbaiki agar performa atlet tetap terjaga.
HUBUNGAN LINGKAR LENGAN ATAS DAN USIA IBU HAMIL TERHADAP KEJADIAN BAYI BERAT BADAN LAHIR RENDAH
Authors: Yuliana Yuliana , Istianah Isti
Published: April 2023

World Health Organization (WHO) tahun 2013 mengatakan 98% dari 5 juta kematian neonatal terjadi di negara berkembang atau berpenghasilan rendah, dan lebih dari dua per tiga kematian tersebut adalah bayi dengan berat badan lahir rendah. Penelitian ini bertujuan untuk menganalisis hubungan antara lingkar lengan atas dan usia ibu hamil terhadap kejadian bayi dengan berat badan lahir rendah. Penelitian ini menggunakan desain cross sectional terhadap 85 ibu hamil yang datanya diperoleh dari data sekunder register kohort ibu dengan mengambil data (1) lingkar lengan atas, (2) usia ibu hamil, dan (3) berat lahir bayi. Data dianalisis dengan uji chi-square. Hasil penelitian menunjukkan bahwa Ibu yang melahirkan bayi dengan BBLR sebanyak 34,1%, yang memiliki status KEK sebanyak 18,8%, dan usia yang berisiko sebanyak 36,5%. Ada hubungan yang signifikan antara lingkar lengan atas dan usia ibu hamil pada bayi dengan BBLR. Lingkar lengan atas dan usia ibu hamil memiliki hubungan yang signifikan pada bayi dengan BBLR.
FAKTOR DETERMINAN PENYEDIAAN IKAN DI RUMAH TANGGA DI KOTA BANDAR LAMPUNG TAHUN 2019
Authors: Rahmadi Antun
Published: April 2023

Ikan merupakan salah satu makanan yang mempunyai keunggulan jika dibandingkan dengan makanan hewani lainnya. Namun konsumsi ikan masyarkat masih dibawah target yang ditetapkan. Salah satu faktor konsumsi adalah ketersediaan di tingkat rumah tangga. Penelitian ini bertujuan untuk mengetahui faktor-faktor determinan penyediaan ikan di rumah tangga di Kota Bandar Lampung.  Populasi penelitian ini adalah seluruh rumah tangga di Kota Bandar Lampung. Penarikan sampel dilakukan dengan 2 tahap (two-stage cluster survey), yaitu tahap pertama memilih 30 klaster secara probability proportionate to size (PPS) dan tahap kedua memilih 7 sampel rumah tangga di setiap klaster secara acak. Data yang telah terkumpul diolah dan dan dianalisis dengan uji statistik kai kuadrat. Hasil penelitian menunjukkan bahwa terdapat hubungan antara sikap, norma subjektif, dan kontrol perilaku dengan penyediaan ikan di rumah tangga dengan p value masing-masing <0,05.Perlu peningkatan pengetahuan dan keyakinan tentang manfaat gizi dan teknik pengolahan ikan agar terjadi penguatan sikap dan kontrol perilaku  ibu rumah tangga dalam penyediaan ikan. Selain itu perlu peningkatan edukasi bagi anggota rumah tangga dan masyarakat luas tentang pentingnya konsumsi ikan sehinga dapat memberi pengaruh positif bagi ibu rumah tangga dalam menyediakan ikan. Perlu penelitian lanjut dengan metode kualitatif agar diketahui lebih mendalam motif utama penyediaan ikan di rumah tangga.
Mapping the Potential of Faculty of Teacher Training Education Lecturers in the Field of Study Program Development Innovation, Work Mindset, and Competitive Entrepreneurial Attitudes in the Digital Area
Authors: Wahidin  , Nana  , Ali Mufti , Sumantri Agus
Published: April 2023

This study aims to map the innovation potential of Lecturers. Aspects of the study include competence, demography and socio-culture with work mindset variables, entrepreneurial attitudes, and Study Program development innovations. Next studied the relationship between these variables. Data collection was carried out by random sampling via electronics to the lecturer population at Faculty of Teacher Training Education. The results of the returned and valid questionnaire were 33 samples. Descriptive data processing of each component is studied one by one and analyzed followed by a simple correlation test, using SPSS software. The results of the study show that demographically and socio-culturally the lecturers have positive potential with high confidence from the dimensions of the work mindset and entrepreneurial attitude at a sufficient stage to carry out innovations in the development of the Study Program. Meanwhile, between one variable and another, there is no correlation with the innovation of the Study Program development. This research paved the way that faculty collaborative programs related to innovation in the development of Study Program with stakeholders to increase the social cohesiveness and entrepreneurial attitudes of lecturers. It is necessary to improve the quality of innovation collaboration between lecturers and colleagues to face the demands of competitiveness in the digital era. Further studies are needed on the innovation model of Study Program development for the synergy of work mindsets, entrepreneurial attitudes with innovation in the development of Study Program for all faculties in the university.
New Paradigm of Indonesian Islamic Education: Analysis of Changes in the Relations of Islamic Education Institutions with Post-Reform Political Power
Authors: Sumarna Cecep
Published: April 2023

Islamic Education Institutions (LPI) were born with different characters and ideologies from Dutch and Japanese educational institutions. This difference is still maintained even though Indonesia has declared itself independent. Only later in the reform era did the dynamics of the relationship between LPI and government power change. This study then examines changes in the relationship between the LPI and political power after the Reformation. This research will be carried out using qualitative methods and a historiographical approach. Researchers will use data on Indonesia’s social, political, and religious situation from when the Dutch colonized Indonesia until the temporary Indonesian period. This research then found a new change in the political movement of Islamic education in Indonesia in 1998. In this change, various Islamic educational institutions began to enter the political context and fill multiple positions in the government. Islamic educational institutions started to transform and become part of political power, which marked a paradigmatic change in the politics of Islamic education.
The degree of Organizational Health availability and its relationship to Job Performance among workers in the Ministry of Education in the Sultanate of Oman
Authors: Al-Habsi Radhiya , Al-Swafi Jokha
Published: April 2023

The current study aimed to determine the degree of organizational health availability and its relationship to job performance among workers in the Ministry of Education in the Sultanate of Oman. And to identify whether there are statistically significant differences at the level of significance (05≥ α) between the arithmetic averages due to the study variables (gender, occupational position, and years of experience in the field of the current job). To achieve the aims of the study, the study used the correlative descriptive approach, in order to answer its questions, a study scales was developed; the first measures the degree of organizational health availability, while the second measures job performance. The results were as follows: The degree of organizational health in the Ministry of Education in the Sultanate of Oman was "large". Where the dimensions of organizational independence and organizational cohesion each scored a high degree, while the dimension of institutional integrity achieved a medium degree and the level of job performance among workers in the Sultanate of Oman was high in all its dimensions. There are no statistically significant differences at the level of significance (05≥ α) in the responses of the study sample members to the degree of organizational health, and the level of job performance due to the variables: gender, occupational position, and years of experience. The results also showed a strong positive correlation between organizational health and job performance among workers in the Ministry of Education in the Sultanate of Oman. The study recommended Preparing professional meetings and seminars among the employees of the directorates of the Ministry's general office; to discuss the dimensions of organizational health, and its impact on the job performance of teachers and enhancing the level of institutional integrity in the departments of the educational directorates in the Ministry's general office.
The Interactive of E-Learning Unit to employ The Students Skills in Cyber Security According to Determinates of Digital Citizenship
Authors: Almehmadi Ghadeer
Published: April 2023

The study aimed to design an interactive of e-learning unit to employ students’ skills in cyber security according to determinants of digital citizenship then measuring its effectiveness. The study relies on the descriptive approach and the quasi-experimental approach. To achieve study objectives, measurement tools were developed, namely cognitive test and observation card to measure the cognitive and performance aspects of cyber security skills according of the nine determinants of digital citizenship, which were applied in the second semester of the academic year (1443 AH / 2022 AD); On a sample of (33) undergraduate students at Umm Al-Qura University. Study results showed that there are statistically significant differences at α ≤ 0.05 among average score of the study sample in the pre and post application of the cognitive test of cyber security skills as a total score, and as sub-domains: (Education Field, Respect Field, and Protection Field) and as sub-dimensions of digital citizenship. So, all differences were in favor of post-application. The study also showed that there are statistically significant differences at α ≤ 0.05 among average score of the study sample in the pre and post application of the observation card of the performance aspect of cyber security skills as a total score, and as sub-domains: (Education Field, Respect Field, & Protection Field), and as sub-dimensions of digital citizenship. So, all differences were in favor of the post- application. The results also showed that the interactive e-learning unit has an impact on the development of the cognitive and performance aspects. and it was found that there is a positive correlation with statistical significance at α ≤ 0.05 between the cognitive side and the performance side of cyber security skills, after applying the program based on the interactive e-learning unit.
COVID-19 HASTALARINDA NLR, d-NLR VE PLR'NİN HASTALIK CİDDİYETİ AÇISINDAN DEĞERLENDİRİLMESİ*
Authors: BEKÇİBAŞI Muhammed , ARSLAN Eyüp , ÖNDER Ömer Faruk
Published: April 2023

İnflamasyonu ve bağışıklık durumunu temsil edebilen dolaşımdaki bazı biyobelirteçler, COVID-19 hastalarının prognozu için potansiyel öngörücü olabilmektedir. Periferik beyaz kan hücresi (WBC) sayısı, nötrofil-lenfosit oranı (NLR), türetilmiş NLR oranı [d-NLR, nötrofil sayısı/ (WBC sayısı- nötrofil sayısı)] ve trombosit-lenfosit oranı (PLR) viral pnömonili hastaların prognozu için yararlı prediktör olarak sistematik inflamatuar cevabın göstergeleridir. Bu çalışmada COVID-19 hastalarında NLR, d-NLR ve PLR biyobelirteçleri kullanılarak hastalık ciddiyetinin değerlendirilmesi amaçlanmıştır.
COVID-19 tanısıyla 2020 yılı Nisan ayından itibaren bir yıllık süreçte takip ve tedavileri yapılan hastalar çalışmaya alınmıştır. SARS-COV-2 PCR testi pozitif olan veya PCR sonuçları negatif olan ancak periferik, bilateral veya multifokal yuvarlak buzlu cam opasitesi gibi tipik Akciğer BT bulguları olan hastalar, klinik tablo başka bir nedenle açıklanamıyorsa çalışmaya dahil edilmiştir. Dünya Sağlık Örgütü (DSÖ) ve T.C. Sağlık Bakanlığı COVID-19 tanı ve tedavi kılavuzları rehberliğine göre hastalar ciddi ve ciddi olmayan COVID-19 olarak gruplanmıştır.
Çalışmaya alınan 395 hastanın ortanca yaşı 66.5 idi ve %52.7’si kadındı. İleri yaş (<.001), yüksek d-NLR (0.027) ve CRP (<0.001) düzeyleri COVID-19 hastalık ciddiyeti ile önemli ölçüde ilişkiliydi. Komorbidite, diyabet, kalp hastalığı ve KOAH ciddi hastalık tablosu olan COVID-19 hastalarında istatistiksel olarak anlamlı derecede yüksek oranda izlendi (Sırasıyla <0.001, 0.022, 0.004 ve 0.027).
Ciddi COVID-19 hastalarında, ciddi olmayan hasta grubuna göre NLR, d-NLR ve PLR değerleri daha yüksek seyretmiştir. Bulgularımız klinik pratikte d-NLR düzeylerinin kullanımını desteklemekle birlikte, kesin bir konsensüs eşik değeri elde etmek için daha ileri çalışmalar geliştirilmelidir.
BİR TIP FAKÜLTESİ BİRİNCİ SINIF ÖĞRENCİLERİNİN COVID-19 PANDEMİSİNDE EL YIKAMA DAVRANIŞLARI
Authors: ÇINAR TANRIVERDİ Esra , SALCAN Sara
Published: April 2023

El hijyeni, bulaşıcı hastalıkların önlenmesinde en etkili ve ekonomik yollardan biridir. COVID-19 pandemisi sırasında her zamankinden daha kritik hale gelmiştir. Bu çalışma, pandemi döneminde bir tıp fakültesinin birinci sınıf öğrencilerinin el hijyeni konusundaki bilgi, tutum ve davranışlarını belirlemeyi amaçlamıştır.
Tıp fakültesi birinci sınıf öğrencileriyle kesitsel bir çalışma yapılmıştır. Veriler 07 Ekim 2021 tarihinde çevrimiçi bir anket yoluyla toplanmıştır. Veri toplama aracı olarak sosyodemografik bilgiler ve el yıkama ile ilgili soruların yer aldığı yapılandırılmış bir form kullanılmıştır. Veriler SPSS 25.0 (SPSS Inc., Chicago, ABD) istatistik paket programında analiz edilmiştir. İstatistiksel anlamlılık düzeyi p<0.05 kabul edilmiştir.
Çalışmamıza 285 öğrenci katılmıştır. Katılımcıların yaş ortalamasının 18.8±1.2 yıl, %56.5’inin kadın, katılım oranının %95 olduğu belirlenmiştir. Çalışmamızda pandemi öncesinde öğrencilerin %56’sı günde 5-10 kez yıkarken, pandemi sonrası %71’inin 11 kez ve daha fazla ellerini yıkamaya başladığı saptanmıştır. Hijyenik el yıkamada, öğrencilerin %96’sı ellerin sabun ve su ile en az 20 saniye boyunca yıkanması gerektiğini bildirmiştir. Bireylerin el yıkama sıklığı ile ellerinde gelişen cilt sorunları değerlendirildiğinde, el yıkama sıklığı arttıkça cilt sorunlarında artış gözlendiği saptanmıştır (p <0.001). Kadınların erkek öğrencilerden önemli ölçüde daha fazla el yıkadıkları tespit edilmiştir (p<0.001). Katılımcıların el yıkama konusundaki alışkanlıkları ve ellerin yıkanması gereken durumları değerlendirildiğinde, uyumlu el yıkama davranışına sahip oldukları görülmüştür.
Bu çalışmanın sonuçlarına göre öğrencilerin COVID-19 salgını sürecinde el hijyenini sağlamaya yönelik bilgi, tutum ve davranışlarının artmış olduğu görülmüş, sık el yıkamanın cilt sorunlarının gelişiminde rol oynadığı saptanmıştır.
COVID-19 TEDAVİSİNİN NADİR YAN ETKİSİ: FEMUR BAŞI AVASKÜLER NEKROZU
Authors: KAYA Arda , ERDEM Hüseyin Aytaç , SABAH Dündar , YAMAZHAN Tansu , TAŞBAKAN Meltem
Published: April 2023

2019 yılının son günlerinde, Çin’in Hubei eyaletinden etiyolojisi bilinmeyen ardışık pnömoni vakaları bildirilmeye başlanmış ve daha sonra SARS-CoV2 olarak adlandırılacak olan bu yeni tip Coronavirüs kısa sürede tüm dünyaya hızla yayılarak bir pandemiye dönüşmüştür. Bu süreçte tedavide birçok yeni molekül ile birlikte steroidlerin de kullanım sıklığı artmıştır. Steroidlerin pek çok yan etkisi bulunmaktadır ve femur başı avasküler nekrozu steroidlerin uzun süreli kullanımı sonucu görebildiğimiz önemli yan etkilerinden biridir. Bu yazıda COVID-19 pnömonisi nedeniyle yoğun bakım ünitesi ve ardından serviste izlenen bir hastada kısa süreli steroid kullanımı sonucu gelişen bilateral femur başı avasküler nekrozu olgusu sunulmuştur.
Over & Under Voltage & Short Circuit Protection of Electrical Appliance
Authors:   Swami Keshvanand Institute of Technology, Management &Gramothan, Jaipur, Gupta Garvit , Banarjee Aryan
Published: April 2023

Abstract-The aim of this project sudden fluctuation in supply is a very big problem in industries and domestic applications. It causes a major loss for industries, offices and homes. This project gives a low cost and powerful solution for this problem. This Circuit protects refrigerators ACs, Microwave ovens as well as other appliances from over and under voltage fluctuations. Operational amplifier IC LM324 is used here as a comparator. The preset is adjusted such that for the normal supply of 180V to 240V, the voltage at non-inverting terminal of op-amp is less than 6.8V. The same unregulated supply is given to the second comparator through a 5.6V zener diode. 12V SPDT relay is used to control the Load. An NPN transistor is used to drive the relay. This project uses regulated 12V, 500mA power supply. 7812 three terminal voltage regulator is used for supply voltages and reference voltages for LM324 comparator circuit. Bridge type full wave rectifier is used to rectify the ac output of secondary of 230/12V step down transformer. Index Terms- short circuit protection, saving energy, home appliance protection.
Graphical Password Authentication for Web-Based System
Authors:   CSE Department, Acropolis Institute of Technology And Research, Tahami Abdul Rehman , Arya Ankita , Sharma Abhishek , Sharma Alokit
Published: April 2023

Graphical password authentication is a method that uses passwords in the form of images or symbols. There can be various implementations based on its usage. Digitization and automation across all industries have resulted in improvements in the efficiencies and effectiveness of systems and processes, and the tech sector is not immune to attacks through hackers. Graphical Password authentication offers a systematic and secure alternative to the old text-based password designed for the authentication and security of the user. KEYWORDS Hashing, Encryption, Authentication, Graphical Passwords, Image Password Authentication
A Comparative Study of Cybersecurity Laws in India and Other Countries
Authors:   University of Mumbai Institute of Distance & Open Learning (IDOL), Information Technology,  University of Mumbai, Thakur Minal Kunal
Published: April 2023

Cybersecurity laws are essential in protecting individuals and organization from cyber threats, but they can very significantly from country to country. In this comparative study, we examine the cybersecurity laws in India and other countries, including Japan, Germany and Australia. We compare and contrast the legal framework of each country, focusing on areas such as data privacy, cybersecurity incident reporting, and regulatory enforcement. Thought this analysis, we aim to identify the strength and weakness of each country‟s cybersecurity laws and provide insights into how India could improve its legal framework. This research will be useful for policymakers, legal professionals, and cybersecurity experts who are interested in understanding the global landscape of cybersecurity laws and hoe they can be applied in the Indian context.
Algorithmic Trade Bot
Authors:   Rajiv Gandhi Institute ofTechnology Bangalore, India, J Kavyashree
Published: April 2023

Algorithms that follow a trend and a predetermined set of rules are used in algorithmic trading to execute trades. Predictive Trade Bot systemsaim to provide unusual profits for stock order, position,balance, sell, and by tools. The trade can produce income at an unnaturally high speed and frequency. Bydeveloping an Algorithmic Trading Bot that will automatically trade user strategies along with its own algorithms for day-to-day trading based on different market conditions and user approach, and throughout the course of the day invest and trade with continuous modifications to ensure the best trading results, our project seeks to advance this revolution in the markets of the future. Algorithmic Trading Bot's primary goal isto minimize the risk of mistakesin trading performed byhumans. Keywords—Algorithmic trading, Finance, Random Forest, coin market cap, yahoo API.