bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of obesity and physical activity levels of adult individuals by examining dietary habits with different parameters
Authors: Uğurlu Döndü , Yapıcı Hakan , Ünver Rafet , Gülü Mehmet
Published: June 2024

Aims: The aim of this study was to examine the dietary habits of adult individuals in detail at the level of different variables and to analyze these habits in depth in terms of obesity and physical activity levels.
Methods: In the study, quantitative research methods and a descriptive survey model from general survey designs were used. The research group consisted of 704 adult individuals in Kırıkkale province. The Three-Factor Eating Questionnaire (TFEQ) was used in the study. This is a questionnaire that measures the eating habits of individuals. It was translated into Turkish by Kıraç et al. in 2015 under the name of “TFEQ” and its validity and reliability were proven, and its use in our country was ensured. The questionnaire consists of 18 items. The questionnaire measures the degree of consciously restricting their eating, the level of uncontrolled eating, and the degree of eating when they are emotional. The questionnaire also measures the level of sensitivity to hunger. In this respect, the questionnaire is related to obesity. Since the data were distributed as normal binary, they met the prerequisites for parametric tests. For this reason, an independent sample t test was used for pairwise group comparisons, and an ANOVA test was used for comparisons of three or more groups. In addition, if there was a significant difference in the ANOVA results, the Tukey post hoc test, one of the multiple comparison tests, was applied to determine which groups the difference was between.
Results: It was found that men tended to eat when they were more emotional than women, and those who lived in urban areas, did not smoke or drink alcohol, did not have chronic diseases, had a good economic status, and did more physical activity per week had favorable three-factor nutrition levels.
Conclusion: The findings of the study reveal that variables such as gender, place of residence, smoking and alcohol use, chronic disease, and economic status have significant effects on nutritional behaviors.
Clinical significance of pretreatment De Ritis ratio in renal cell carcinoma
Authors: Kölükçü Engin , Fırat Fatih , Yalçın Kenan , Balcı Şerifali Yağan , Kuyucu Yunus Emre
Published: June 2024

Aims: This study aimed to investigate the relationship between pretreatment De Ritis ratio and Fuhrman nuclear grade and tumor stage in renal cell carcinoma (RCC).
Methods: The data of 288 patients treated for RCC were analyzed. The De Ritis ratio was evaluated in patients classified by Fuhrman nuclear grade and tumor stage. The De Ritis ratio between groups was compared using Levene’s test.
Results: A total of 145 patients (50.3%) were women female. Their mean age, aspartate aminotransferase, alanine aminotransferase values, and De Ritis ratio were as follows, respectively: 60.32±12.65 years, 20.55±11.54 IU/L, 17.4±10.87 IU/L, and 1.34±0.75. The De Ritis ratio was 1.12±0.44 in the low stage group and 2.01±1.05 in the high stage group. According to the Fuhrman nuclear grading, the De Ritis ratio was 1.15±0.43 in the low grade group and 1.70±1.14 in the high grade group. There was a statisticallysignificant difference between the groups (p
The relationship between the need for prolonged oxygen therapy after discharge in COVID-19 patients and mortality
Authors: Doğru Sibel , Uyar Meral , Aytaç Sema , Ovayolu Özlem
Published: June 2024

Aims: The COVID-19 pandemic has severely burdened healthcare systems worldwide due to the rapid rise in cases, often resulting in respiratory distress requiring oxygen therapy. However, research on the availability and long-term usage of oxygen concentrators upon discharge is limited. This study aimed to identify factors associated with the need for oxygen concentrators in discharged COVID-19 patients, as well as device acquisition and mortality rates.
Methods: This study, conducted at a single center, comprised retrospective and prospective phases. Data were gathered from hospitalized COVID-19 patients, with follow-up conducted one year later for those prescribed oxygen concentrators at discharge. Sociodemographic and clinical variables were recorded, and statistical analyses were conducted to determine factors associated with oxygen concentrator need and duration of use.
Results: Among 229 patients, 15.7% required oxygen concentrators at discharge. Factors associated with this need included older age, asthma, bilateral lung lesions, and the severity of lesions detected on thoracic computed tomography scans. Patients with corticosteroid use and hypertension required oxygen concentrators for over three months. Economic limitations impeded the acquisition of devices for 22.2% of patients who were prescribed them. Two to three months post-discharge, 72.2% of patients still
used oxygen concentrators. Mortality analysis showed a 16.6% fatality rate among oxygen concentrator prescribed patients within one year, with shorter survival observed in those unable to obtain the device.
Conclusion: This study highlights the significance of assessing factors impacting oxygen concentrator requirement in COVID-19 patients and their long-term prognosis. These findings should inform healthcare providers and policymakers in pandemic preparedness efforts, emphasizing tailored treatment approaches based on individual patient characteristics. Ensuring device accessibility and regular patient follow-up are crucial for optimizing healthcare delivery during similar crises.
The relationship of erectile dysfunction severity with nocturnal blood pressure pattern and RDW
Authors: Aslan Muzaffer , Yavuz Yunus Emre , Okşen Dogac , Bal Erdem
Published: June 2024

Aims: The study aimed to investigate the relationship between the severity of erectile dysfunction (ED), nocturnal blood pressure patterns, and red blood cell width distribution (RDW) in hypertensive patients.
Methods: The study involved 106 hypertensive patients, categorized into non-dippers and dippers based on their nocturnal blood pressure patterns. Key parameters including smoking status, RDW, and International Index of Erectile Function (IIEF) scores, were compared between the groups.
Results: The demographic data of the patients were similar. RDW was significantly higher in patients with non-dipper hypertension (HT) compared to the dipper group. Moderate and severe ED was seen more frequently in the non-dipper HT group (40.4% vs 20.4%; p=0.025). IIEF score was higher in the dipper HT group (17.6±6.9 vs 21.0±4.5; p=0.004). According to logistic regression analysis, age and smoking habit were significant predictors for moderate or severe ED.
Conclusion: The study highlights the significant association between non-dipping blood pressure patterns, elevated RDW, and the severity of ED in hypertensive patients. The findings underscore the importance of monitoring nocturnal blood pressure patterns and RDW in understanding and managing ED in this population.
Molecular detection of Virulence Factor Genes in Candida albicans Isolated from the Oral Cavity of Local Chicken and Antifungal Susceptibility in Mosul Province
Authors: Al-abedi Hawraa F.H. , Khalil Israa Ibrahim , Al-Abedi Semaa F.H.
Published: June 2024

Candida spp. is a naturally occurring bacteria in the GI tracts of numerous species, including birds. Candidiasis is an opportunistic illness that emerges when the normal microflora is disturbed. Clinical findings include thickening mucosa and white, elevated pseudomembranous areas. Gross lesions can serve as a presumptive diagnosis. This study aimed to detect and identify Candida albicans as of oral cavity of chicken. The Seventy samples were gathered using swabbing from the oral cavity of the Chicken and transported to the Mycology laboratory, using a cool container for handling. Samples were inoculated onto sabouraued dextrose agar for presumptive identification of Candida albicans. Based on molecular techniques, regarding the consequences of PCR amplification of the 18S rRNA gene in the identification of Candida albicans, this gene has existed existing 50 samples, Metallo-aminopeptidase gene was present in 50/50 (100%) and the alkaline phosphatase sequence gene was once existing in 50/50 (100%). whilst alpha glucosidase used to be existing in 30/50 (60%) and sterol esterase genes 25/50 (50%). Antifungal sensitivity testing results showed that ketoconazole and itraconazole provided the most exceptional Sensitivity (100%) against Candida albicans isolates, followed by fluconazole and Amphotericin B. The outcomes of the present research showed that local poultry oral cavities likely contain pathogenic yeasts.
Stock Management Information System Audit at CV Gudcare Indonesia Corp using COBIT 5
Authors: Nurhayati Eli , Puspita Silvy Milda , Putri Rhizma Elliza , Choirila Vernanda Isyana Valda , Wulansari Anita
Published: June 2024

CV Gudcare Indonesia Corp is a company that operates in the fragrance or perfume sector and oversees 2 brands within it. CV Gudcare Indonesia has an information system that is used to carry out stock management. The evaluation was carried out to ensure that the use of information system CV Gudcare Indonesia Corp was running effectively and in line with organizational goals and was able to fulfill the company's vision and mission. Using the COBIT 5 framework subdomains APO10 and APO11, which is useful for measuring the capability level of the performance of the stock management website and knowing how far the process is going. The results of the evaluation that have been carried out show that the capability level gap value produced in the APO10 process is 2, with the Managed Suppliers process at Level 1 (Performed). Meanwhile, in the APO11 domain, the resulting capability level gap value was found to be 2, with the Managed Quality process being at Level 1 (Performed). In future research, more process domains can be added in both the Governance and Management areas, so that evaluations can be carried out more comprehensively.
Sentiment Analysis of pegipegi.com Review on Google Play Store with Naïve Bayes
Authors: Balit Muhamad Naufal Burhanuddin , Utomo Fandy Setyo
Published: June 2024

In the current era, a shift in consumer behavior is evident in the use of online platforms for booking tickets, involving various services such as flights, hotels, trains, buses, and entertainment. PegiPegi.com, as a rapidly growing online travel agent in Indonesia, demonstrates success by understanding the value of technology and maintaining strong partnerships. This phenomenon also impacts sentiment analysis, where users of this platform often provide reviews. This research aims to apply the Naïve Bayes classification method in sentiment analysis of PegiPegi.com reviews, focusing on understanding customer satisfaction and service improvement. By combining these approaches, the study contributes to a deeper understanding of user responses to OTA services and presents the evaluation results of the Multinomial Naive Bayes classification model with an accuracy rate of 89.5%. The high precision in the Negative class indicates the model's ability to identify negative reviews. However, there are challenges in classifying the Neutral class, suggesting potential for further improvement. Nevertheless, the F1-score of 0.522 reflects a good balance between overall precision and recall.
Chili Leaf Health Classification using Xception Pretrained Model
Authors: Wulandari Yestika Dian , Munggaran Lulu Chaerani , Setiawan Foni Agus , Satya Ika Atman
Published: June 2024

As one of the high-demand horticultural crops, chili peppers have a significant impact on the economy of Indonesia. However, despite the growing demand and interest in chili peppers, their production often faces disruptions due to crop failures. One of the leading causes of such failures is pests and diseases. Among all parts of the chili plant, chili leaves are the most susceptible to damage. Distinguishing between healthy and unhealthy chili leaves can serve as an early detection step for chili diseases and preventive measures to contain their spread. Convolutional Neural Network (CNN) are effective algorithms for image classification. The development of CNN has led to the use of models previously trained on large datasets to accurately classify relatively small datasets. One such pretrained model known for its exceptional classification capabilities is Xception. By utilizing the pretrained Xception model trained on the ImageNet dataset for the classification of healthy and unhealthy chili leaf images, our model achieved an accuracy of 91% on a dataset containing 2136 images. Furthermore, the model achieved a 100% success rate by correctly predicting all 10 out of 10 given images.
Application of the Finite State Automata (FSA) Method in Indonesian Stemming using the Nazief & Adriani Algorithm
Authors: Fitriana Lady Agustin , Mustopa Ali , Firdaus Muhammad Rifqi , Dahlia Rizka
Published: June 2024

Language is a communication tool commonly used in everyday life. Each country has a different language with predetermined rules. For instance, in the Indonesian language, there are approximately 35 official affixes mentioned in the Big Indonesian Dictionary. These affixes include prefixes (prefixes), infixes (insertions), suffixes (suffixes), and confixes (a combination of prefixes and suffixes). In Information Retrieval, there is a stemming process, which is the process of converting a word form into a base word or the process of transforming variant words into their base form. The theory of language and automata is the foundation of the computer science field that provides the basis for ideas and models of computer systems. In the implementation of the research, several stages were carried out, such as explaining the Nazief & Adriani stemming algorithm, finite state automata, creating pseudocode, and testing using a web-based system, resulting in affixed words becoming the correct base words with 20 affixed words. The results obtained from reading this web-based system, the base word "cinta" (love) used as a test yielded accurate results in accordance with the concept of the Nazief & Adriani stemming algorithm. There are some weaknesses in stemming from suffixes, and the solution is to perform stemming from the prefix position (Prefix).
Application of User-Centered Design Method in E-Commerce Sales System
Authors: Amanda Retno Tri , Putri Raissa Amanda
Published: June 2024

E-commerce is the activity of buying and selling goods or services carried out electronically via the internet, involving online transaction, payment and delivery processes. The Azzahra Hijab Medan Shop is one of the shops engaged in selling hijabs in Medan City which still uses a conventional shop model without utilizing e-commerce to support the sales system. The transaction process in this shop is still done manually, from customers selecting goods to recording transactions in a book. Customers from outside the area can place online orders via the WhatsApp service with the shop owner providing a product photo catalog in stages. Therefore, an e-commerce system is needed to support online sales. The User Centered Design (UCD) method is important in designing e-commerce, starting with involving the user context in the early stages of development and involving system testing, enabling the creation of an optimal and user-friendly design. With the implementation of this E-Commerce based sales system, it is hoped that it will facilitate sales with more efficient transactions, faster data processing, help sales of goods become more accurate, and make it easier for consumers to order products.
Mobile-based Electronic Health Card Application using Realtime Push Notification
Authors: Husna Fauziatun , Suendri Suendri
Published: June 2024

The Healthy Way Card (KMS) is a valuable tool for documenting and tracking the growth and development of children between the ages of 0 and 5 years. The aim of this research is to make it easier for cadres and parents to see the development of toddlers as well as reminders of posyandu activity schedules in real time. This research uses Firebase Realtime Database for storing toddler data and Firebase Storage for storing media/photos. Use of Java and Android Studio as programming languages. The Waterfall system development method is also used. Push Notification is divided into 2 privileges, namely Broadcast for routine posyandu information which is sent to all users and Private which is pushed to each user's account for the development of toddlers after activities. The Towards Healthy Card Application System has a multiplatform, namely Mobile and Web. The system used can run well. The system can be accessed by several users so that it can be used to record data on toddler development, as well as obtain information on posyandu activities in real time. Thus, from the test results, the system can display growth and development graphs, immunization graphs, weight graphs, from all these graphs you can see toddler development data.
CONTRIBUTION OF MATHEMATICS LEARNING MOTIVATION TO STUDENTS' MATHEMATICS LEARNING OUTCOMES IN JUNIOR HIGH SCHOOL
Authors: Usman Patima M
Published: June 2024

Students who have great motivation and create positive perceptions in mathematics lessons will improve student learning outcomes. However, the learning motivation of class VIII students at SMP Negeri 3 Luwuk in mathematics is still low. Therefore, this research aims to determine the contribution of mathematics learning motivation to mathematics learning outcomes in class VIII students at SMP Negeri 3 Luwuk, while the research was carried out from May to June 2021. In this research, the variables to be studied consist of 2 variables, namely variables X and Y, where the motivation to learn mathematics is placed in variable Luwuk. The data collection methods used are observation, questionnaires, tests and documentation. The analysis used is product moment correlation. The research results show that the correlation coefficient (r) = 0.3598 or 35.98% is a positive number. This shows that the contribution of mathematics learning motivation to the mathematics learning outcomes of class VIII students at SMP Negeri 3 Luwuk is positive and the interpretation is between 0.20 - 0.399 which is interpreted as a low level of influence. The KD value = 12.96% shows the low influence of the contribution of mathematics learning motivation to the mathematics learning outcomes of class VIII students at SMP Negeri 3 Luwuk, amounting to 12.69%. Meanwhile, the value of tcount = 1.6808 with degrees of freedom (db) = 21-2 = 19 with a significance level of 0.05 = 2.093 so tcount is less than ttable or 1.6808 < 2.093, so the correlation that occurs is meaningless or not significant so The correlation is that there is no contribution of mathematics learning motivation to the mathematics learning outcomes of class VIII students at SMP Negeri 3 Luwuk. Thus the hypothesis is rejected.
THE EFFECT OF IMPROVE METHOD ON MATEMATICAL UNDERSTANDING ABLILITY AND SELF-DEVELOPMENT
Authors: Handayani Rika
Published: June 2024

Mathematical concepts must not only be understood or memorized in order for students to learn them effectively. Learners will more easily achieve learning objectives if they have a strong ability to understand mathematical concepts. However, in reality, researchers found that there are still many students who have difficulty in understanding the mathematical concepts taught by teachers during their education. This hampers the learning process because it causes the teacher to have to repeat the material continuously. The research method used was a pseudo-experiment with a 2x2 factorial design with level-based treatment. The data analysis technique used two-way ANOVA. The results of this study are as follows: 1) Overall mathematical understanding ability of students taught with IMPROVE method is higher than students taught with conventional method; 2) There is an interaction between learning method and PAM on mathematical understanding ability; 3) For students with high PAM, the mathematical comprehension ability of students taught with IMPROVE method is higher than that of students taught with conventional method; 4) For students with low PAM, the mathematical comprehension ability of students taught with IMPROVE method is higher than that of students taught with conventional method. For students with low PAM, the mathematical comprehension ability of students taught with IMPROVE method is lower than students taught with conventional method; 5) Self-development of students taught with IMPROVE learning method is higher than students taught with conventional method.
EFFORTS TO IMPROVE TEACHER COMPETENCE IN UTILIZING CANVA DIGITAL MEDIA IN LEARNING THROUGH IHT AT SDN SYEKH TUBAGUS ABDULLAH, TASIKMALAYA CITY
Authors: Caswita Caswita , Noviyani Selvi
Published: June 2024

Abstract: The problem in this research is the teacher's weakness in utilizing Canva-based learning media. Meanwhile, the aim of this research is to try to increase the teacher's competence in using Canva media for learning through In House Training (IHT). The research method used was a pre-experimental design with the type of one-group pre-test post-test design. It is said to be a pre-experimental design because this method is often referred to as "quasi-experimental". This design is not yet a real experiment. The results of the study show that based on the data obtained, it can be stated that in stage I the teacher at Syekh Tubagus Abdullah Elementary School can master the material for making Canva learning videos well. There is only one teacher whose score is below average. However, to further strengthen the teacher's skills in making animated learning videos, the author feels the need to re-do IHT phase II activities. Meanwhile in stage II the results of the IHT implementation were based on instruments filled in by 11 participants (teachers) and achieved an average score of 100, meaning that most of the indicators that had been set could be achieved very well. Based on the available data, it can be concluded that the In House Training (IHT) activity in the use of learning animation videos which was carried out for two days had a very extraordinary impact on the knowledge and skills of teachers as participants. During the In House Training (IHT) process, the participating teachers showed high enthusiasm and curiosity, so they were very motivated and enthusiastic to take part in the activity. In addition, new knowledge and skills needed to make animated videos for learning encourage participants to have a strong ability to be able to make their own animated videos.
Towards Open-Source Cloud Adoption : Exploring the Determinants
Authors: Chirchir P. K  , Muhambe T. M  , Obare E. O
Published: June 2024

The trends in cloud computing development have become fundamental building blocks to many business information system models and innovations, the architects are designing cloud systems to be as effective and beneficial as possible. In this paradigm, open-source cloud platforms are part of the design philosophy that drives innovation in cloud services. The adoption of open-source cloud has become pervasive in the modern enterprise; this has been accelerated by perceived benefits of openness. The power in the community of developers and openness fosters development of hardened, secure and reliable solutions. These features enable a collaborative source code, modification and customization geared towards innovation with positive impact on the design, aligning perfectly with the dynamic nature of open-source cloud solutions. However, the slow adoption rate in the modern enterprises has been attributed to a lack of understanding of open-source cloud adoption. This study explores the determinants of open-source cloud adoption in the context of higher learning institutions. A deductive thematic analysis technique was utilized in the study.
IDENTIFIKASI JENIS KERUSAKAN PADA PERMUKAAN JALAN STUDI KASUS JALAN RAYA KEPADANGAN TULANGAN SIDOARJO
Authors: Rivanda Yoga Vernandika , Hartatik Nurani
Published: June 2024

Jalan yakni hal penting dalam proses pendistribusian barang di sektor industri. Jalan yang baik akan mampu mempercepat proses tersebut dari tempat satu ke tempat yang lain. Study kasus Jalan Raya Kepadangan terletak di kecamatan Tulangan, Kabupaten Sidoarjo. jalan ini penghubung antar kecamatan Tulangan dengan Kecamatan Krembung. Sekaligus alternatif jalan penghubung antara Kabupaten Sidoarjo dengan Kabupaten Mojokerto. Jalan ini memiliki panjang 3 km dan lebar 4,5 m. Metode yang digunakan dalam penelitian adalah observasi atau survei secara langsung. Penelitian ini bertujuan untuk mengetahui jenis kerusakan yang terjadi pada Jl. Raya Kepadangan Tulangan Sidoarjo. Hasil penelitian ini di Jl. Raya Kepadangan Tulangan Sidoarjo dari STA 0+000 – 3+000 menggunakan metode Pavement Condition Index ditemukan beberapa jenis kerusakan yakni retak kulit total kerusakan 333,99 m² (19,83%), kegemukan total kerusakan 12,69 m² (0,75%), retak blok total kerusakan 575,88 m² (34,19%), amblas total kerusakan 9,90 m² (0,59%), retak pingir 285,59 m² (16,95%), lubang total kerusakan 16,56 m² (0,98%), alur total kerusakan 3,15 m² (0,19%) tambalan total kerusakan 310,43 m² (18,43%), bahu jalan turun total kerusakan 2,80 m² (0,17%), retak memanjang melintang total kerusakan 123,28 m² (7,32%), pelapukan butiran lepas total kerusakan 10,28 m² (0,61%).
EFEKTIFITAS EKSTRAK BUAH MENGKUDU (Morinda Citrifolia L) TERHADAP PENURUNAN KOLONI JAMUR C.albicans PADA MENCIT YANG TERPAPAR C.albicans
Authors: Retnaningsih Reny , Purwanti Anik Sri
Published: June 2024

Infeksi vagina dapat terjadi dikarenakan pertumbuhan yang tidak terkendali dari jamur C. albicans.. Kandungan antrakuinon dalam buah mengkudu (Morinda citrifolia L.) mempunyai efek farmakologik sebagai lisosim terhadap jamur. Tujuan penelitian ini adalah mengetahui efektifitas ekstrak buah mengkudu (Morinda Citrifolia L) terhadap penurunan koloni jamur C.albicans pada mencit yang terpapar C.albicans. Desain penelitian true eksperimental dengan rancangan pre-post test randomized control group design. Sampel dari penelitian ini adalah mencit (Mus musculus) betina, usia 2-3 bulan, dengan berat 20-25 gram, diinfeksi C.albicans. Menggunakan empat perlakuan dan enam kali pengulangan. Perlakuan yang digunakan adalah kontrol negatif (tanpa ekstrak buah mengkudu (Morinda citrifolia L.) dan kontrol positif (pemberian ekstrak buah mengkudu (Morinda citrifolia L.) dengan dosis yang berbeda, yaitu 50 mg/kg BB, 100 mg/kg BB, 200 mg/kg BB). Jumlah koloni jamur diamati dengan metode pour Plate Slide. Hasil penelitian menunjukkan. Analisis menggunakan one way ANOVA atau uji alternative Kruskal-Wallis. Hasil penelitian menunjukkan terdapat penurunan koloni jamur yang tidak signifikan pada kelompok perlakuan pemberian ekstrak buah mengkudu dosis 50 mg/kgBB, 100 mg/kgBB dan 200 mg/kgBB, meskipun secara deskriptif terjadi penurunan rata-rata koloni jamur pada semua kelompok perlakuan. p-value lebih dari 0,05 (p>0,05). Ekstrak buah mengkudu dapat bermanfaat untuk meningkatkan imunitas tubuh dalam mengatasi infeksi jamur.
Cartesian Product of Intuitionistic Fuzzy Modular Spaces
Authors: Jassim Mohammed Mohammed Jassim Mohammed , Jawad Kadhim Mohammed
Published: June 2024

n this paper, we define the concepts of intuitionistic fuzzy modular space and cartesian product in intuitionistic fuzzy modular space. Also, some properties of them are considered.
Effect of extraction solvent of Allium sativum on fasciolla hepatica in vitroSamia
Authors: Dakheel mezaal Hanaa
Published: June 2024

The current research to determine the anti-activity of Allium sativum (garlic) on the hepatic fascia parasite, the study included the effect of aqueous extract and ethanolic extract of Allium sativum on the growth and efficacy of fasiolla hepatica cultivated in 50% of sheep red blood cells with 15% dilution agar technique. Halving was counted within 96 hours of growth when inhibiting concentrations (1,1.5,2,2.5) μmg / ml were applied to the plant after drying and obtaining the crude, and then dissolving it in each extract after determining the concentrations separately by following scientific methods. The results revealed that the ethanolic extract had a higher effect than the aqueous extract. Where a high concentration (2.5) for both extracts was observed to inhibit) for ethanolic extract 8± 10 81035.6991x) for the aqueous extract and (8± 10 81046.511x () during 96 hours of growth. 8± 10 81060.000xwhen compared with the control group (We can conclude that medicinal plants can affect microorganisms effectively, even if the proportions differ without affecting the affected host, unlike chemical compounds, and this is what we observed during the research.
Video Summarization for Surveillance System Using key-frame Extraction based on Cluster
Authors: B. Taher Hazeem , H. Awadh Amal
Published: June 2024

The amount of data has grown in recent years due to the use of a vast number of videos, which requires time to access them in addition to the difficulty of browsing and retrieving the video content. To fix this issue, it was proposed that the videos be summarized for easy access and that the content of the videos is browsed easier. The primary objective of the video summary is to provide a simple description of the video by removing the redundancy and extracting keyframes from the video. This paper will clarify the four ways that are using to summing up the video based on the keyframe extraction. In frames extraction, the first two methods rely on the threshold value, while the second two methods rely on clustering to extract the keyframes.
An Efficient Virtual Machine Placement Approach for Energy Minimizing in Cloud Environment
Authors: Ibraheem Arif Dr . Khaldun Ibraheem , Abdul Kadeem khayun Rawafid
Published: June 2024

Cloud computing can be defined as an evolving Computing technology using the Internet and essential remote infrastructure to retain on-demand and pay-as-you-go assets. The number of data centers across the world has increased through wide adaptation to cloud principles, leading to large amounts of data center power consumption that affects the climate and economic aspects. So many virtual machines (VMs) could be installed on one Physical Machine(PM) via virtualization. The Cloud workload is held by these VMs and executed. Effective PM allocation of VMs will lead to better use of resources and energy savings. In this paper, our goal is to provide an improved Policy on energy-efficient VM placement to minimize energy consumption in the cloud environment, placing the VMs in the addressed bin backing mechanism and retaining the Service Level Agreement (SLA) between the provider and the cloud customer. Significant reduction in power consumption could even be made if convective are implemented at software level. Energy -aware scheduling processes produces excellent performance by implementing bin-packing energy efficiency mechanisms. An improved algorithm has been enhanced for the two First Fit Decreasing FFB and Best Fit Decreasing BFD algorithms, which are considered the best among bin packing algorithms. This algorithm adopts server power as the basis for arranging servers in the database, unlike the BFD, FFD algorithms that arrange servers according to CPU. The proposed algorithm has been practically tried using Matlab 2020 programing language for samples of servers and virtual machines, whose specifications were chosen randomly, and the results showed great efficiency of the proposed algorithm in reducing energy consumption
The Role of Adiponectin Hormone and some Biochemical Parameters in Women with Invasive Ductal Carcinoma of the Breast in Thi-Qar Province-Iraq
Authors: Mohammed Kredy Husam , Rashid Faraj Hadeel , Shakir Hasan Maha
Published: June 2024

Breast cancer is the most frequently diagnosed cancer and is a common cause of cancer related death in women, accounting for 25% of cancer cases and 15% of cancer-related deaths worldwide The present study was designed to determine and compare the levels of Adiponectin hormone, Vitamin D3, Calcium, Alkaline phosphatase, and C- reactive protein among women with Invasive ductal carcinoma &healthy individuals. The study was designed to determine and compare the levels of serum Adiponectin hormone, Vitamin D3, Calcium, Alkaline phosphatase, and C- reactive protein levels were measured in eighty -five patient’s Invasive ductal carcinoma and seventy-five supposed healthy subjects. The levels of serum Adiponectin hormone, Vitamin D3, were reveled significant decrease among patients with Invasive ductal carcinoma as compared to control group whereas the levels of Calcium, Alkaline phosphatase, and C- reactive protein showed a significant increase in Invasive ductal carcinoma patients in comparison to control subjects (P ≤ 0.05). This present study indicated that low blood adiponectin level was associated with the risk of obesityrelated malignancies, including breast cancer, we can conclude that deficient of vit. D3 may contribute to the process of carcinogenesis among the breast cancer patients, and our findings revealed significant in Calcium, Alkaline phosphatase, and C- reactive protein levels among patients with Invasive ductal carcinoma
Embedding Secret Data in Color Image Using LSB
Authors: A. S. Obaid Taleb
Published: June 2024

Currently, steganography is considered the most powerful technique among other procedures to obscurethe presence of buried information within a cover body. The Greek word steganographic means coveredwriting. This term may be considered the most appropriate to bury confidential secret data via internetcorrespondence. Steganography technique can be defined as the science of safe electronics transmitting.So, the aims of the steganography technique are to hide the presence of conveying data from un unwillingparty. Various carrier object formats can be implemented, but color images become the more commonamong the other digital object. Currently, a lot of works adopted the image steganography as a coverobject. The contemporary secure image steganography technique offerings a transferring the embeddedconfidential information task to the intended end point without being perceived or even suspicious by theattackers. There exists a large variability of steganographic techniques for fixed secret data in colorimages. Some of these techniques are more complicated than others, and each of these methods haspositive and negative considered points. The objective of this work is to give a brief overview ofsteganography techniques using color images as a cover object by implementing MATLAB softwareusing the LSB algorithm. We found that the carrier image keeps the original feature without anydistortion caused by embedded secret information. The performance measured by PSNR and MSEtechnique and shown satisfied results.
Automatic Lip reading for decimal digits using ResNet50 Model
Authors: Mahdi Hashim2 Kadhim , Saadun Naif1 Kwakib
Published: June 2024

Lip reading is a method to understand speech through the movement of the lips, as audio speech is notinclusive of all Categories of society, especially the hearing impaired or people in noisy environments.Lip reading is the best and alternative solution to this problem. Our proposed system solves this problemby taking a video of the person speaking with digits. Then the pre-processing process is carried out byViola Jones algorithm, by cutting the video into a sequential frame, then detecting the face, then themouth, deducting the mouth region of interest(ROI), and inserting the mouth frame into the convolutionalneural network (ResNet50), where the results are classified and the test frames is matched with thetraining frames if it is done Matching, the network is working correctly and the correct digit is spoken.But if the test frame is not matched with the training framework, then there is an error rate in thenetwork’s work and there is an error rate in the network. For that, we used a standard database topronounce the digits from 0 to 9, and we took seven speaking people, 5 males and 2 females, and we gotan accuracy of 86%.
ECG Classification System based on time Domain Features with Least Square Support Vector Machine (LS-SVM
Authors: R. Majeed Russel , K. D. AL Khafaji Sarmad
Published: June 2024

The development of authentication and identification procedures has become a critical requirement toensure the integrity of device data. Although passwords provide enough control and authentication, theyhave been shown to have significant speed and security flaws, making biometrics the preferredauthentication technique. Consequently, most authentication systems have given much consideration toan electrocardiogram (ECG) signal. However, ECG signals are distinct, making them difficult to imitateyet relatively frequent. We offer a novel ECG validation model that combines multi-domaincharacteristics with an LSSVM in this work. ECG signals examine two characteristics to determine eachindividual's ideal mix of characteristics. First, the best 3-band filter bank is used to extract time-domainproperties from ECG data. The retrieved characteristics are examined for the most relevant ones, and theunimportant ones are removed. The Least Square Support Vector Machine(LS-SVM) classifier collectsspecified characteristics data. Our ECG authentication technology outperformed the competition,according to the findings. The suggested model was applied to categorize EKG signals, and it achieved anaverage accuracy of 92 %and 91 %when time features were used. The suggested model is evaluatedbased on its ability to interact with open data.
News Classification by N-Gram and Machine Learning Algorithms
Authors: Farawn Ogaib Melad , Mahdi Hashim Kadhim
Published: June 2024

News is information obtained from different sources such as television, internet, newspapers andmagazines. Online news is published in very large numbers, and because there are so many news, it willbe challenging for users to find the pertinent information that matches their preferences. In this paper, thenews is categorized so that a specific category can be obtained quickly and easily. The BBC's newsgroupwas used in its five categories: sports, politics, business, technology and entertainment. The classificationalgorithms Multinomial Naive Bayes (MNB) and decision tree (DT) were applied to the news data setafter extracting the features from it using n-gram method . Multinomial naïve Bayes algorithm has provensuperiority over decision tree with an accuracy 98.2%.
Detection of PCOS Based on Genetic Algorithm Coupled with SVM
Authors: Nasralaa Faris Najlaa , Saber Miften Firsas
Published: June 2024

PCOS (polycystic ovary syndrome) is a hormonal illness that affects women's of life from a young age.Human diagnosis of PCOS is a difficult undertaking for professionals; yet, rapid and accurate detection ofPCOS could save the lives of millions of women throughout the world. Current research employs highdimensionalfeatures, resulting in low estimation accuracy and a long execution time. However, in thisresearch, we create a novel intelligence system based on a Genetic Algorithm linked with an SVM (AGSVM)that uses fewer features to categorize PCOS. The dataset is preprocessed before a GeneticAlgorithm is used to select the most powerful features for PCOS classification. As a consequence, sevenfeatures were selected from the feature set to represent PCOS data. The SVM is fed the selectedcharacteristics set in order to categorize them into healthy and non-healthy segments. Our results showedthat the suggested model (AG-SVM) achieved a 90% accuracy rate.
Serological detection of Toxoplasma gondii in some intermediate hosts (sheep and goats) in Thi-Qar province, Southern Iraq
Authors: Kareem Sahira , Jabori Had Nuha , Helal Shnawa Kareema
Published: June 2024

Iraq considers sheep and goats a significant source of meat in daily meals and during some hollycelebrations. These animals are suitable reservoir hosts of Toxoplasma gondii and play a critical role intransmitting the parasite to humans. Thus, this study investigated the prevalence of Toxoplasma gondiiinfection in sheep and goats in Thi-Qar province in southern Iraq. In the study conducted from October2020 to February 2021, two hundred eighty goat and sheep blood samples were collected from Nasiriyahand Shatrah slaughter house. Antibodies type IgG against Toxoplasma gondii were investigated in serumusing the Enzyme-Linked Immunosorbent Assay (ELISA).Furthermore, 134 (47.85%) of the 280 animalsshowed signs of toxoplasmosis. The infection rate of Toxoplasma in goats and sheep was 50.69% and44.85%, respectively. Prevalence of the antibodies for toxoplasma gondii type IgG was found to bevariant in animals regarding animals' ages and sex. The current study showed that animals with periods ofmore than two years and females significantly have a higher infection rate compared to males youngerthan two years.
Approximate Methods For Solving Fractional Differential Equations
Authors: A. Hussein* Mohammed
Published: June 2024

In this paper, exact and approximate solutions of the nonlinear Burgers equation, heat-like equationand coupled nonlinear fractional Burger’s equations with Caputo-Fabrizio fractional operator byusing Daftardar-Jafari method (DJM) and Sumudu decomposition method (SDM) are presented anddiscussed. The solutions of our equations are calculated in the form of rabidly convergent serieswith easily computable components. Three illustrative applications are given to demonstrate theeffectiveness and the leverage of the present methods. Graphical results are utilized and discussedquantitatively to illustrate the solution. The results reveal that the methods are very effective andsimple in determination of solution of the fractional partial differential equations.
Suggest a Mathematical Model to Measure the Speed of Vehicles Via Video
Authors: aqeel musaid Hanan , Mahdi hashim Kadhim Mahdi hashim
Published: June 2024

Identification of vehicles violating a certain speed by measuring the speed of vehicles in a nonintrusivemanner with low cost and good results is very important, as it directly contributes to helping thetraffic police instead of using radar, lidar or other expensive devices, the use of video analysis to estimatethe speed of vehicles involved in traffic accidents is becoming increasingly common. In most cases, theestimate is based on in situ reference measurements or data derived using photogrammetry techniques.In this research, the suggested method estimates the average vehicle speed via computing thedistance between consecutive tires using the "Pixel Image Scale Coefficient" and converts the results toaccurate measurements. Using an installed camera or a mobile phone device at video frames per second(fps of 30 frames per second, a mathematical function to identify the speed of a passing vehiclepredicated on its motion pattern vector and transform that speed from measurements of pixels insucceeding frames to realistic measurements is presented. Three steps were used in this work toimplement the technique: In the first stage, a vehicle is distinguished from other objects utilizing artificialintelligence, particularly the Aggregated Channel Features(ACF) vehicle detectors algorithm. In thesecond step, automobiles are monitored by tracking successive video frames and then the third step,which is the working core of this The research, is to calculate the speed of the detected vehicles insuccessive video frames through the proposed mathematical equation that mainly depends on the productof the obtained Euclidean distance, and then convert this result to what is proportional to the realisticmeasurements of speed, which really is km/h.The project work was produced on a 64-bit system with an Intel Core i7 processor using Matlab
R2021a. The software was used to analyze a series of locally captured movies that were used as the datasource for a data set used to calculate the average vehicle speed. The proposed program's results werecompared with the established driving velocity in order to verify the findings. A simulation of a vehiclemoving at a known speed was employed. The mistake rate as a result of the vehicle speeds varied from 1to 5 km/h.
A Web Application(Asthmaontoapp) based on Ontology using SWRL Rules for the Diagnosis of Asthma
Authors: Bassim Kadim Fatima , I. Othman Zainab
Published: June 2024

Asthma is a chronic disease of the airways of the lungs caused by inflammation and narrowing of theairways. Asthma patients are sometimes misdiagnosed because of the similarity of asthma symptoms toother respiratory diseases. This leads to administering inappropriate medications, and thus the patient'scondition worsens. In this search, we propose a new approach based on ontology, the aiming this methodis that to develop a system that can diagnose asthma and suggest the appropriate treatment for eachpatient. The proposed approach consists of three steps: the knowledge base, four modules that act asmediators between the user interface and ontology, and the web application that act as an interface to theapproach. Semantic Web Rule Language (SWRL) was used for asthma diagnosis. The proposed systemwas tested using several patients previously diagnosed with asthma. The obtained results showed that theapproach could diagnose the disease and recommend treatments. It diagnosed 56 out of 59 (accuracy rateof 94.91%) and correctly recommended treatment for 20 out of 22 patients (accuracy rate of 90.9%). Theapproach also showed good speed in the previous two procedures, as it took 3.6 seconds to diagnose and15.4 seconds to recommend the appropriate treatment.
Analytical Solutions for the Nonlinear Homogeneous Fractional Biological Equation using a Local Fractional Operator
Authors: Razaaq Saeid Athmar , K. Alzaki Lamees
Published: June 2024

This study uses the Natural Variation decomposition technique, which is a great tool for solvingfractional biological population equations. The fractional derivatives are described in terms of theCaputo's operator sense. A series of variation components that converge to the exact solution of theproblem are used to describe the outcome of the suggested technique. Examples are provided todemonstrate how the suggested technique can be used.
Potential modulation pancreas gland activity in hyperprolactimic male Rats ( Rattus norvegicus) by vitamin D3 treatment
Authors: H. Sumaya , Hazar S. Saleh Sameer
Published: June 2024

Hyperprolactinemia status is commonly known as abnormal levels of prolactin hormone inthe blood due to endocrine disorder. So far, there is no evidence explaining whetherhyperprolactinemia affected Pancreas gland and vitamin D level in male. Therefore, this study aimedto eliminate hyperprolactinemia affecting the Pancreas gland by treating it with vitamin Dsupplements. Eighteen male rats were equally divide into three groups: The first group (6 rats):received normal saline for 42 days. The second group (6 rats): rats were given 5 mg/kgmetoclopramide by intraperitoneal injection for hyperprolactinemia induction for 14 days. The thirdgroup (6 rats): hyperprolactinemic rats received 2.5 mg/kg vitamin D3 for 28 days.After the end of experimental) 42days(,hormonal parameters (prolactin, insulin, and vitamin D3)were measure, and the Pancreas gland was remove for routine paraffin-embedded section stainingwith hematoxylin and eosin staining. The result of the study revealed a significant decrease (P≤0. 01)in prolactin hormone concentration and a significant increase (P≤0. 01) in D3 concentration andinsulin hormone Group 3compared with Group2. Histological examination of parts of the pancreasgland treated with vitamin D showed a remarkable recovery in the size and number of cells, and thecells became abundant in the cytoplasm. It was also noted that the nuclei returned to a size close tonormal and took on a regular, spherical shape and central location compared to thehyperprolactinemia group. The study concluded that vitamin D had a protective effect on Pancreasgland by stabilizing insulin hormone level and restoration histological architectures throughoutpancreas gland.