bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigating Factors Affecting the Intention to Use Mobile Health from a Holistic Perspective: The Case of Small Cities in China
Authors: Fei Zhu , Kassim Normalini Md , Normila Mohamad Wan
Published: October 2023

Aim/Purpose: This study aims to develop a comprehensive conceptual framework that incorporates personal characteristics, social context, and technological features as significant factors that influence the intention of small-city users in China to use mobile health.

Background: Mobile health has become an integral part of China’s health management system innovation, the transformation of the health service model, and a necessary government measure for promoting health service parity. However, mobile health has not yet been widely adopted in small cities in China.

Methodology: The study utilized a quantitative approach whereby web-based questionnaires were used to collect data from 319 potential users in China using China’s health management system. The data was analyzed using the PLS-SEM (the partial least squares-structural equation modeling) approach.

Contribution: This study integrates the protection motivation theory (PMT), which compensates for the limitations of the unified theory of acceptance and use of technology theory (UTAUT) and is a re-examination of PMT and UTAUT in a small city context in China.

Findings: The findings indicate that attitude and perceived vulnerability in the personal characteristic factors, social influence and facilitating conditions in the social context factors, and performance expectancy in the technological feature factors influence users’ intention to use mobile health in small cities in China.

Recommendations for Practitioners: This study provides feasible recommendations for mobile health service providers, medical institutions, and government agencies based on the empirical results.

Recommendation for Researchers: As for health behavior, researchers should fully explain the intention of mobile health use in terms of holism and health behavior theory.

Impact on Society: This study aims to increase users’ intention to use mobile health in small cities in China and to maximize the social value of mobile health.

Future Research: Future research should concentrate on the actual usage behavior of users and simultaneously conduct a series of longitudinal studies, including studies on continued usage behavior, abandonment behavior, and abandoned-and-used behavior.
A Comparative Study of Sentiment Analysis Methods for Detecting Fake Reviews in E-Commerce
Authors: Puttarattanamanee Maneerat , Boongasame Laor , Thammarak Karanrat
Published: October 2023

The popularity of the e-commerce system has increased, especially under the COVID scenario. Consumer product reviews from the past have had a significant impact on influencing consumers' purchasing decisions. Fake reviews—those written by humans and computers that engage in dishonest behavior—are consequently generated to increase product sales. The fake reviews hurt consumers and are dishonest. The goal of this research is to examine and evaluate the performance of various methods for identifying fake reviews. The well-known and widely-used Amazon Review Data (2018) dataset was used for this research. The first 10 product categories on Amazon.com with favorable feedback will be provided in the data section. After that, perform fundamental data preparation procedures such as special character trimming, bag of words, TF-IDF, etc. The models are trained to create a dataset for detecting fake reviews. This research compares the performance of four different models: GPT-2, NBSVM, BiLSTM, and RoBERTa. The hyperparameters of the models are also tuned to find the optimal values. The research concludes that the RoBERTa model performs the best overall, with an accuracy of 97%. GPT-2 has an overall accuracy of 82%, NBSVM has an overall accuracy of 95%, and BiLSTM has an overall accuracy of 92%. The research also calculates the Area Under the Curve (AUC) for each model and finds that RoBERTa has an AUC of 0.9976, NBSVM has an AUC of 0.9888, BiLSTM has an AUC of 0.9753, and GPT-2 has an AUC of 0.9226. It can be observed that the RoBERTa model has the highest AUC value, which is close to 1. Therefore, it can be concluded that this model provides the most accurate prediction for detecting fake reviews, which is the main focus of this research. Doi: 10.28991/HIJ-2023-04-02-08 Full Text: PDF
Chemical and Organoleptic Properties of Dragon Fruit Gummy Candy and Apple Snail Collagen Extract with Carrageenan Addition
Authors: Ramadhanty Arlita , Rosida Dedin Finatsiyatul , Yulistiani Ratna
Published: October 2023

Gummy candy is a soft confectionery crafted from fruit juice, sugar, and gelling agents, known for its chewy texture. The utilization of dragon fruit juice enhances its nutritional value due to its antioxidant properties, phenolic compounds, and vitamin C content. Additionally, it aims to diversify products derived from dragon fruit. Meanwhile, the utilization of collagen from apple snails seeks to boost the economic value of these snails and provide an alternative source of collagen raw material. In this study, the gummy candy uses carrageenan as a hydrocolloid material to establish the chewy texture. This study's primary objective is to determine the optimal combination involving the proportion of dragon fruit juice, apple snail collagen extract, and carrageenan concentration for producing high-quality gummy candy. The research employed a Completely Randomized Design (CRD) with a two-factor factorial pattern and two replications. The first factor was the proportion of dragon fruit juice to apple snail collagen (70:30, 75:25, and 80:20), while the second factor was the carrageenan concentration (3%, 5%, and 7% w/w). Observational data were analyzed using Analysis of Variance (ANOVA), and if interactions were observed, they were further assessed with Tukey's test at a significance level of 5%. The treatment combination of a 75:25 proportion of dragon fruit juice to apple snail collagen and a 7% carrageenan concentration proved to be the most effective, yielding gummy candy with a moisture content of 13.21%, ash content of 0.95%, and organoleptic evaluation scores for aroma, taste, color, and texture of 3.25, 3.4, 3.4, and 3.7.
Literature Review of the Effects of Digital Transformation and Artificial Intelligence Technologies on Tourism Businesses within the Framework of Organizational Change and Management
Authors: GÜMÜŞ Ahmet , SİDAL Öznur
Published: October 2023

İşletmelerde teknolojik bilginin üretilmesi, örgütsel öğrenme yoluyla da aktarılması dijital dönüşümü sağlamıştır. Dijital dönüşümün başlaması, işletmeleri büyük ölçüde etkilemiş; işletmelerin faaliyetlerinde ve iş yapış şekillerinde
örgütsel değişime yol açmıştır. Dönüşen iş süreçleri, yapay zekâ, robot teknolojileri ve dijital iletişim araçları ile işletmelerin insan kaynaklarına ayırdığı maliyet azalmış; bu yenilikçi teknolojiler işletmelerin rekabet edebilme
kapasitelerini arttırmıştır. Dijitalleşme ve dijital dönüşüm hareketi, birçok sektörü kökten etkilediği gibi bir hizmet sektörü olan turizm işletmelerini de etkisi altına alması kaçınılmaz bir durumdur. Diğer yandan bu örgütsel
değişim yönetiminin başarılı olabilmesi ile sistemli ve planlı bir süreç olarak yönetilebilmesinde üst düzey işletme yöneticilerinin liderlik beceri ve yeteneklerine sahip olması önemlidir. Burada da yöneticilerin dönüştürücü liderlik
tarzlarıyla örgütsel değişimi yönetmesi ve buna uygun olarak hareket etmesi gerekmektedir. Bu çerçevede bu çalışmanın amacı, değişim ve yönetim bağlamında dijital dönüşüm ve yapay zekâ teknolojilerinin turizm işletmelerine olan
etkilerinin neler olduğuyla ilgili literatür araştırmasının yapılmasıdır. Bu çalışmanın, turizm işletmelerine yönetim perspektifinden bakılması açısından literatüre katkı sunacağı düşünülmektedir. Ayrıca dijital dönüşüm ile yapay
zekâ teknolojilerine örgütsel değişim ve yönetimi liderlik süreçleriyle birlikte değerlendirmesi yönünden de üst düzey turizm yöneticilerine farkındalık oluşturabileceği söylenebilir.
Performance of crusher machine for crushing coconut coir into cocopeat and coco fibre
Authors: Anugrah R.A.
Published: October 2023

The abundant resources of coconut coir in Indonesia, especially a tiny village in Kulon Progo district, namely Kadigunung, hadn't been used before this research. It was thrown away and mostly just burned by the villagers. Even though it can be used to become natural organic fertilizer for agriculture, most of the population members are making a living as farmers. But there is a problem when processing to make the fertilizer, and it is the use of conventional manner to crush the coconut coir into cocopeat and coco fibre. So they needed appropriate technology and crusher machines. It is a gasoline-powered crushing device with 5.5 hp and 2000 rpm. It has 21 moving and 12 fixed blades. The research data were obtained by digital tachometer and sound level meter measurements. Other data were also measured by formula calculation. The results of this research involved the data of fuel consumption, the machine's capacity, depreciation of raw coconut coir, noise level, linear v-belt velocity, and rpm of the blade shaft. They were 1.8 L, 0.05 kg, 99.3 dB, 2π m/s, and 330 rpm, respectively. So it can be inferred that the crushing machine is a good performance.
Karaktersitik pembakaran droplet minyak nabati Indonesia
Authors: Winarko W. A. , Ilminnafik N. , Kustanto M. N. , Perdana D.
Published: October 2023

Research has been carried out on the combustion characteristics of Indonesian vegetable oil droplets. Currently, Indonesia is still developing CPO as a source of renewable fuel to replace diesel. The problem is, CPO is used as a food source so that it will affect food scarcity. Vegetable oils used in this study include CCPO, CJO, CCO and CCIO. The volume of the droplets tested was 1.25-1.31 ml and the drops were placed on a 0.1 mm type K thermocouple. The flame characteristics of the droplets tested included flame stability, ignition delay time, and temperature and flame height. The results showed that vegetable oils with higher viscosity produced more stable flames, but had low temperatures and short flames. This is because high viscosity vegetable oils produce less intense microbursts. While the ignition delays time of CCO is faster than CCPO even though it has the highest flash point. This happens because the polar nature of CCO can attract oxygen more strongly. In addition, the fatty acid content of vegetable oils also has a significant impact on fire characteristics. This is indicated by CCO which has a high content of saturated fatty acids and tends to produce a short flame.
Analisis kinerja turbin air arus bawah bentuk sudu bengkok dengan variasi material
Authors: Duma G. A. , Sule L.
Published: October 2023

A water turbine is a device used to convert the potential energy of water into mechanical energy. This mechanical energy is then converted into electrical energy by a generator. This test was carried out experimentally using a crooked blade type with six blades and the type of water turbine used was undershoot. Various types of blade materials are plastic, aluminium, and iron. As well as varying the opening of fluid flow, namely the valve opening of 25%, 50%, 75%, and 100%. The results obtained indicate that variations in turbine blade material have an effect on turbine power and turbine efficiency The highest turbine power and efficiency was obtained at 100% valve opening with a load of 0.7 kg on plastic, iron and aluminium material. The highest turbine power is 1.16 watts for the plastic blade, the aluminium blade is 1.22 watts, and for the iron, the blade is 1.1 watts. The highest efficiency obtained for plastic blades is 50.14 % for experiment and theoretical is 5.67%, aluminium blades are 52.77% for experiment and 54.41% for theoretical, iron blades are 47.5% for experiment and 48.97% for theoretical.
Pengaruh muatan dan kecepatan kendaraan terhadap hasil emisi gas buang
Authors: Gunawan G. , Novianto R.A. , Ayondya R.
Published: October 2023

The government is promoting the enforcement of over-dimensional and over-loading vehicles. Overloaded vehicles usually require a lot of power so it affects the results of exhaust emissions. This study aims to determine the results of emission tests by providing variations in load and speed on gasoline motorized vehicles, namely the Daihatsu Granmax Pick-Up 1.5 produced in 2014. The method used is experimental to determine the effect of independent variables (variations of load and speed) on the dependent variable (emissions exhaust gas). Variations of payload used are 0 kg, 735 kg, and 1200 kg with variations in speed of 0 km/hour, 10 km/hour, 20 km/hour, 30 km/hour, and 40 km/hour. The result of the experiment is that when the vehicle is unladen, with variations in speed, the Carbon monoxide (CO) and Hydro Carbon (HC) levels will be higher with a CO value of 0.83% and HC 121 ppm at a speed of 40 km/hour. When the vehicle is loaded according to GVW and given a variety of speeds, CO and HC levels increase with a CO value of 1.43% and HC 362 ppm at a speed of 40 km/hour. Meanwhile, if the vehicle is given a variation of speed with overload, the CO value rises to 3.30% and HC becomes 516 ppm at a top speed of 40 km/hour. So it can be concluded that the load variable and speed variations affect exhaust emissions and the largest exhaust emissions occur in overloaded vehicles.
Mengolah Sabut Kelapa Sebagai Warna Alami dan Pelatihan Digital Marketing di Dusun Dasan Gerung
Authors: Sahidi Samsul , Ramadhani Dhea Kurnia , Chintami Ratih Damayyana Dwi , Mazmury Kirana Sahda , Mustika Muhammad Diennis Dwi
Published: October 2023

Kelapa merupakan salah satu tumbuhan yang dapat hidup di iklim tropis seperti Indonesia. Semua bagian dari pohon kelapa dapat dimanfaatkan menjadi suatu yang llebih berharga. Namun hal ini belum begitu di sadari oleh masyarakat khusunya di Desa Tirtanadi. Data dari profil Desa Tirtanadi 2019 menyebutkan jumlah produksi kelapa mencapai 360.000 butir per tahun (BPS, 2019). Sabut kelapa merupakan hasil samping dari buah kelapa yang berpotensi cukup besar. Sabut kelapa memiliki struktur serat yang kuat. Kelebihan-kelebihan yang dimiliki sabut kelapa antara lain tidak gampang membusuk dan berjamur serta tahan lama. Disisi lain kondisi perekonomian masyarakat mitra masih terbilang rendah ditambah rata rata pendidikan mereka terbilang rendah serta tak jarang mereka putus sekolah. Dari kondisi tersebut program pengolahan serabut kelapa ini hadir dengan mengaet 10 orang mitra dalam pelaksaanya. Adapun pelaksanan program ini secara luring dengan menerapka protocol kesehetan. Fokus program ini untuk memberikan pelarihan pengolahan serabut kelapa enjadi pewarnaan kain mandalik dan pelatihan digital marketing kepada mitra. Tujuan yang ingin dicapai dari kegiatan ini, adalah untuk menghasilkan inovasi produk dari potensi sumber daya alam yang ada menjadi produk ecoprint dengan bahan pewarna sabut kelapa yang berkualitas tinggi. Selain itu, inovasi produk yang kreatif juga dapat memperluas jangkauan pasar dan memberikan laba tinggi bagi masyarakat, serta dapat memberdayakan masyarakat non produktif yaitu kelompok remaja masjid Dusun Dasan Gerung agar menjadi sumber daya manusia yang produktif dan berkualitas.
Upaya Meningkatkan Kualitas UMKM Desa Penusupan Melalui Program KKN Kelompok 66 Kegiatan Pelatihan Digitalisasi UMKM
Authors: Khaerul Khaerul Rizal , Pujianto Aris , Burhanudin Muhammad
Published: October 2023

Tujuan dalam kegiatan pelatihan dan pendampingan digital marketing ini untuk meningkatkan kualitas pelaku UMKM dalam hal pemanfaatan platform digital. Serta memberikan alternatif pilihan mata pencaharian peserta atau sumber baru untuk meningkatkan pendapatannya. Sasaran pelatihan dan pendampingan merupakan pelaku UMKM desa Penusupan kecamatan Randudongkal dengan jumlah orang 20 peserta yang seluruhnya memiliki handphone yang mendukung aplikasi digital marketing. Metode yang digunakan dalam pelatihan dan pendampingan digital marketing adalah metode ceramah atau sosialisasi dan praktik langsung. Dari pelatihan digital marketing dapat disimpulkan bahwa sangat keterampilan google bisnis dan labelisasi produk UMKM sangat penting untuk membangun dan dapat memberikan keterampilan terhadap peserta pelatihan dalam berwirausaha. Dari kegiatan pelatihan dan pendampingan ini di hasilkan 20 akun yang dapat menjadi alat atau sarana digital marketing. Selain itu juga terbentuk sharing group yang berguna untuk wadah penyemangat serta membangun ikatan persaudaraan, kekompakan antar peserta dan sharing masalah masalah yang dihadapi serta solusi yang bisa di diskusikan bersama antar peserta pelatihan dan pendampingan digital marketing. Dengan adanya pelatihan dan pendampingan digital marketing ini semoga bermanfaat dan dapat meningkatkan pengetahuan, kemampuan dan keterampilan dalam hal digital marketing.
Pengabdian Masyarakat Melalui Sosialisasi Stunting dan PMTA di Desa Penusupan
Authors: Nailufar Yuyun , Zukhairoh Ana , Salsabila Iqlil , Ainaya Maylan Shofa , Izzah Khoirina Nadzifatul , Nisa Fatma Zuhrotun
Published: October 2023

Kuliah Kerja Nyata (KUKERTA) merupakan wujud nyata dari tugas dosen dan mahasiswa dalam melaksanakan Tri Darma Perguruan Tinggi yakni dalam aspek pengabdian. Melalui kegiatan ini, mahasiswa membagi pengetahuan nya kepada masyarakat desa penusupan kec. Randudongkal. Salah satu pengabdian yang dilakukan oleh mahasiswa adalah memberikan pemahaman kepada masyarakat desa penusupan mengenai stunting dan pemberian makanan tambahan anak (PMTA). Stunting adalah kondisi gagal tumbuh pada anak balita akibat kekurangan gizi kronis sehingga anak lebih pendek untuk usianya uang terjadi pada 1000 hari pertama kehidupan (HPK). Dalam sosialisasi pencegahan stunting ini, menggunakan metode observasi dimana terjun langsung ke lapangan bersama petugas kesehatan untuk melihat bagaimana kondisi lingkungan dan kesehatan masyarakat desa penusupan. Dan tak lupa dengan PMTA yang kami berikan untuk anak anak balita yang ada di desa penusupan, kami membuat PMTA berupa buah, puding, Yakult dan juga sedikiti jajan. Stunting menjadi permasalahan karena berhubungan dengan meningkatnya resiko terjadinya kesakitan dan kematian, perkembangan otak suboptimal sehingga perkembangan motorik terlambat dan terhambatnya pertumbuhan mental. Dengan program pengabdian yang dilakukan oleh mahasiswa KKN kelompok 66 mengharapkan supaya bisa memberikan sedikit edukasi dan pemahaman serta pencegahan supaya tidak terjadi nya stunting di desa penusupan. Setalah diadakannya sosialisasi pencegahan Stunting Dan PMTA hasil akhir dari kegiatan tersebut diharapkan semua masyarakat desa penusupan bisa mengerti dan bisa mencegah proses terjadinya stunting serta bisa diterapkan di kehidupan sehari hari.
Meta-analysis Study: Effect of Problem Solving Learning Model on Problem Solving Ability in Students' Science Learning SMP-SMA
Authors: Suharyat Yayat , Winiasri Linda , Santosa Tomi Apra , Rahman Abdul , Marzuki Kartini
Published: October 2023

In the era of the industrial revolution 4.0, the education system has used technology to assist the learning process. Technology-based learning makes it easy for students and teachers to carry out learning activities. However, teachers have not been able to optimally develop students' potential, low student learning outcomes and low problem-solving abilities in students. Problem solving ability is very important for a student in learning science. Problem-solving skills in science learning are the main key to training students' scientific thinking in solving phenomena in science. So, it is necessary for a teacher to improve the learning model for those who are able to develop students' problem solving abilities. Problem solving learning is a learning model based on problem solving. In addition, the problem solving learning model helps teachers to be more creative in carrying out the teaching and learning process. This study aims to analyze the effect of problem solving learning models on students' problem solving abilities in science learning. The data source for this research comes from an analysis of 30 national or international journals that have been published from 2010-2022. The search for data sources came from the Google Scholar, ScienceDirect, Emerald, Eric, Springer, Hindawi, ProQuest, Sage Journal, Wiley and Taylor of Francis databases. Sampling in this study was carried out by using purposive sampling technique. The data that can be used is related to the research variable. Furthermore, the research data search keywords are problem solving learning models, problem solving skills and science learning. Data analysis is a descriptive quantitative analysis technique with the help of the OpenMEE application. The results of the study concluded that the problem solving learning model had a significant influence on students' problem solving abilities in science learning with an effect size of 1.808, an average value of 83 and a standard deviation of 0.45
Processing of Your Banana Peel Waste (Mussa paradisiaca) into Organic Vinegar with the Addition of Acetobacter aceti bacteria
Authors: Armi Armi , Husainah Husainah , Sembiring Desi Sri Pasca Sari , Roslina Roslina , Elvitriana Elvitriana
Published: October 2023

This study aims to determine the process of processing Awak banana peel waste (Musa paradisiaca) into organic vinegar by giving Acetobacter aceti bacteria and to determine the use of Acetobacter aceti bacteria to affect the processing of Awak banana peel waste into organic vinegar. This research was conducted from September to October 2022 at LAB MIPA USM, Banda Aceh. The method used in this study is a complete randomized design (RAL) with a 1 factorial pattern, namely the addition of Acetobacter aceti bacteria (P0=0%, P1=10%, P2=20%, P3=30% and P4=40%). Based on the results of the study, it shows a good treatment obtained at P1, namely with the addition of Acetobacter aceti bacteria as much as 10%. While the lowest results were obtained in P0 treatment without the addition of Acetobacter aceti bacteria. The results of the ANAVA test on vinegar color, vinegar taste, vinegar aroma and vinegar PH showed a real difference and the results of research on the amount of acetic acid obtained were (P0 = 0.6%, P1 = 6%, P2 = 4.8%, P3 = 4.2%, P4 = 3%). Then your banana peel waste can be used as a basic ingredient for making organic vinegar and Acetobacter aceti bacteria have a positive effect on processing your banana peel waste into organic vinegar.
VARIATIONAL FORMULATION OF NONLINEAR ORDINARY DELAY DIFFERENTIAL EQUATIONS
Authors: SH Zaineb . Hamed , S Fadhel F
Published: October 2023

In this paper, the variational formulation of nonlinear problems is considered to find the approximate solution of an important type of differential equations which is the nonlinear ordinary delay differential equations and illustrated by an example.
Separation Theorems For Fuzzy Soft normed space
Authors: Al-Mayahia Noori F. , Farhood Donia Sh.
Published: October 2023

In this paper we discussed some theorems  in fuzzy soft normed space , and we have some new results on separation theorems.
Network Anomaly Detection Using Unsupervised Machine Learning :Comparative study
Authors: Waleed Gheed Tawfeeq , Mawlood Abeer Tariq , Jaber Abdul Mohssen
Published: October 2023

The enormous growth in computer networks and in Internet usage in recent years, combined with the growth in the amount of data exchanged over networks, have shown an exponential increase in the amount of malicious and mysterious threats to computer networks. Machine Learning (ML) approaches have been implemented in the Network Intrusion Detection Systems (NIDS) to protect computer networks and to overcome network security issues. Anomaly detection has important applications in different domains such as fraud detection, intrusion detection, customer’s behavior and employee’s performance analysis. In this paper we have taken the Bank credit card dataset for finding Outlier detection. four Clustering methods have been compared and considered BIRCH Algorithm to be the best for finding noise and very effective for large datasets than the other clustering algorithms .
Speeding up Travelling Salesman Problem Using Hybrid Algorithm
Authors: Taher Ali AbdulKadhim , Kadhim Suhad Malalla
Published: October 2023

Traveling salesman problem (TSP) is one of the most popular optimization problems and attracts great attention from many researchers. Several studies have suggested different approaches to solving two-dimensional TSP. This research will present an enhancement for genetic algorithm by using a 2-opt method to solve TSP, such that we will use a 2-opt method to generate the initial population for genetic algorithm, and the roulette wheel choice strategy, the order crossover operator and 2-opt method for mutation operator will be highlighted.

The experiments of  TSP using five real TSP problems taken from the Traveling Salesman Problem Library (TSPLIB), including eil51, st70, pr76,eil76, rd100  (the numbers attached to the problem names represent the number of cities). The error rate of proposed algorithm is (2.233818, 0.030299, 0.057161, 0.084524, 0.123523) . While the error rate of  the traditional GA is (2.300088, 0.052921, 0.064016, 0.091775, 0.14666). The results showed the proposed algorithm is acquired higher quality solutions within a reasonable computational time compared to the traditional genetic algorithm. The programming language Pythom3 was used in programming the proposed method.
Exact sequences of FW6-second and third pair of hooks representation modules over a field of characteristic 3
Authors: Harjan Eqbal Jabur
Published: October 2023

In this paper we will prove a short sequences of FW6-second pair of hooks representation modules M1F , M2F corresponding to the partitions ((4,1),(1)),((1),(4,1)) and FW6-third pair of hooks representation modules N1F , N2F corresponding to the partitions ((3,1,1),(1)),((1),(3,1,1)), are exact and split when F is a field of characteristic equal to 3.
Some geometric topics of Jackson ’s (p,q)- derivative convoluted with a Subclass of convex function with negative coefficients
Authors: Abdulnibe Faten Fakher , Jassim Kassim A.
Published: October 2023

In the present work, a new subclass ℘ (_p,q^(δ,k)) (τ ,η) of convex functions with negative coefficients by derivative operator Υ_(τ,p,q)^(δ,k) , considered coefficient inequalities, growth and distortion theorem, closure theorem, and some properties of sundry functions pertinence in class considered. So get radii of close-to-convexity for function pertinence in to class ℘ (_p,q^(δ,k))(τ,η) . Moreover, an integrated way inequality resolve for functions pertinence in class ℘ (_p,q^(δ,k))(τ,η) .
QoE ROUTING OF VIDEO STREAMING OVER MANET BY USING NS3,VLC,LXC
Authors: Jabbar Naseer Abdulhussein , Salman Aymen Dawood
Published: October 2023

As technology is advancing the demand on video streaming which is one of the technologies increasing every day. From Through the last years, numerous researchers have presented various techniques and several algorithms for correct and dependable video streaming. In this paper, proposed system methods are introduced based on the described model of the network. The main flowchart is presented for the working procedure of the considered MANET to simulate video streaming between the nodes through VLC media player. In addition, it extraction the features of video and the original quality of experience (QoE) take it from an international dataset. Then describing and applying the neural network algorithm to training all videos in dataset. Finally test the video in this neural network and finding new QoE, the experiment begins with entering video and then streaming it by the VLC and sending it throw the MANET network, the video received by another VLC. The received videos are stored in the VLC and then the features extraction is applied for all the received videos. These features are used as an input in a neural network which gives result as new QoE videos scores. The results of new QoE score are compared with the original quality of experience score which is found in the dataset. The best qualified video is the one that is close to the original quality of experience video. two examples are applied in this paper that shows the aim of the system. The suggested system achieves 6 % average error and succeeded in transforming video with high average quality up to 94%.
GENERALIZED HYERS-ULAM STABILITY OF MIXED TYPE ADDITIVE QUADRATIC FUNCTIONAL EQUATION OF RANDOM DERIVATION IN RANDOM NORMED ALGEBRAS.
Authors: Alshybani Shaymaa
Published: October 2023

By the fixed point method, I have proved the generalized stability of the random derivation of the following additive–quadratic functional equationf(x+2y)+f(x+y)+f(y-x)=f(2x+y)-f(x)+4f(y)+f(-y) in random normed algebras.
Transportation polytopes and its relation to graph theory
Authors: Salman Shatha A. , Ibrahim Amal A.
Published: October 2023

Transportation polytopes of non- negative m × n matrices compose of two vectors: a and b which row sums are equal to fixed constant and column sums are equal to different constant. The transportation polytopes are denoted by T (a, b) and these two vectors are called margins. An open problem that the 2-way transportation polytopes are Hamiltonian is proved in this paper with application of optimization.
The Complex of Lascoux in the Case of partition (7,7,3)
Authors: Khudair Nubras Y , Hassan Haytham R.
Published: October 2023

The purpose of this paper is to find and study the complex of Lascoux in the case of partition (7,7,3) as a diagram by utilize the concepts of mapping Cone, divided power of place polarization and Capllie identities.
An algorithm for a modified computation of Dedekind sums
Authors: Hadeed Iman S. , Salman Shatha A.
Published: October 2023

The purpose of this paper is to present an algorithm that compute  Dedekind sums s(a, b) .This algorithm implemented by using essential definition of Dedekind sum .since these sums arise in the theory of modular forms and in number theory as well as in various other areas of mathematics. These sums are rational numbers and a table of the exact values is given. Some applications for the important of Dedekind sums were presented.
New Concept on Fourth-Order Differential Subordination and Superordination with Some Results for Multivalent Analytic Functions
Authors: Atshan Waggas Galib , Abbas Ihsan Ali , Yalcin Sibel
Published: October 2023

In this paper, we introduce new concept that is fourth-order differential subordination and superordination associated with differential linear operator  in open unit disk. Also, we obtain some new results.
Differential Sandwich Theorems for Univalent Functions Involving a Differential Operator
Authors: Atshan Waggas Galib , Hadi Rasha Abbas
Published: October 2023

In the present paper, we obtain some subordination and superordination results involving the differential operator  for certain normalized analytic functions in the open unit disk. These results are applied to obtain sandwich results.
Weakly Nearly Semiprime Submodules and Some Related Concepts
Authors: Mohammadali Haibat Karim , Sadiq Ali Sabah
Published: October 2023

In present paper the concept of WN-semiprime submodule of unitary left R-module  over a commutative ring  with identity are introduced and studied, as a generalization of weakly semiprime submodules. Numerous basic properties of this concept are investigate. Where a proper submodule A of an R-module  is said to be WN-semiprime, if whenever , for , implies that . Furthermore many characterizations of WN-semiprime submodule are introduced. Moreover, some properties of WN-semiprime submodules in some classes of modules are given.
Investigating the Applicability of Logistic Regression and Artificial Neural Networks in Predicting Breast Cancer
Authors: Mohammed Yousra Abdulaziz , Saleh Eman Gadban
Published: October 2023

Breast cancer has become recently the most common cancer and a major cause of death among women all over the world and especially in developing countries like Iraq. This study  aims to predict the type of breast tumor whether benign or malignant through the different models that were built using logistic regression and neural networks which is expected to be helpful for oncologists in diagnosing the type of breast tumor. Four models were set using binary logistic regression  and two different types of artificial neural networks namely multilayer perceptron (MLP) and radial basis function (RBF). Both validated and trained models were evaluated using  different performance metrics like accuracy or correct classification rate (CCR), receiver operating characteristic (ROC) curves, area under ROC curve (AUC), sensitivity and specificity. Dataset has been downloaded from the machine learning repository of University of California, Irvin (UCI ml repository) that consists of 9 attributes  and 699 valid instances.  

 Firstly, some preprocessing was done to cleanse the data, then the models were built using the Logistic Regression method and Artificial Neural Networks and a comparison was done to find out which model will give the highest performance. Each model was validated with a different dataset than that used for developing the models. The analysis of the results showed that the Radial Basis Function neural network model is the best classifier in the prediction of the type of breast tumors since it had recorded the highest performance in terms of correct classification rate (accuracy), sensitivity, specificity, and AUC among all other models.
In-Situ Event Localization for Pipeline Monitoring System Based Wireless Sensor Network Using K-Nearest Neighbors and Support Vector Machine
Authors: Hadi Ahmed H. , Shareef Dr. Waleed F.
Published: October 2023

Pipeline Monitoring Systems (PMS) benefits the most of recent developments in wireless remote monitoring since each pipeline would span for long distances which make conventional methods unsuitable. Precise monitoring and detection of damaging events requires moving large amounts of data between sensor nodes and base station for processing which require high bandwidth communication protocol. To overcome this problem, In-Situ processing can be practiced by processing the collected data locally at each node instead of the base station. However, this introduce a challenge to the limited resources available on the nodes. In this paper, a Wireless Sensor Network (WSN) was implemented for In-Situ Pipeline Monitoring System with proposed algorithms for event location estimation. The proposed algorithms include feature extraction (using ANOVA), dimensionality reduction using statistical procedure that is (Principle Component Analysis PCA) and data classification using supervised learning K-Nearest Neighbors (KNN) and Support Vector Machine (SVM). The proposed system was tested on pipelines in Al-Mussaib Gas Turbine Power Plant. During test, knocking events are applied at several distances relative to the nodes locations. Data collected at each node is filtered and processed locally in real time in each two adjacent nodes. The results of the estimation is then sent to the supervisor at base-station for display. The results show the proposed system ability to estimate the location of knocking event.
Banking Intrusion Detection Systems based on customers behavior using Machine Learning algorithms: Comprehensive study
Authors: Mahdi Wissam Salih , Maolood Abeer Tariq
Published: October 2023

In recent years, The computer networks has tremendous growth and the Internet usage became essential in many fields in real life, combined with the huge amount of data transmitted over networks, generated an exponential increase in the amount of malicious and ambiguous threats to computer networks. By implementation of Machine Learning (ML) algorithms to protect computer networks and to overcome network security breaches. Many approaches appeared to the surface to achieve that purpose, one of them is the Network Intrusion Detection System (NIDS). This research aims to present a comprehensive study about employing machine learning algorithms because of what they have of effective and productive characteristics and capabilities when used in the area of tracking user behavior embedded to construct a framework simulates a banking system and examines the deviation of customer's normal utilization of the system, that is called intrusion. The experimental results obtained by this research that involves combining four algorithms in one framework showed high accuracy and low false alarm detection rate.
Face Detection By some Methods based on MATLAB
Authors: Tahir Al-azawi Fouad Shaker , Abdulrahman Asma Abdulelah
Published: October 2023

Over the past few years, technology has begun to discover things rapidly growing, as this technology has come to dominate the vision of computers, which have taken an important role in monitoring cars and their safety.

    In this work, the face detection and tracking process was highlighted,[6], and two algorithms were created to clarify the role of the MATLAB program in creating a simple system for facial tracking and detection where the first example shows the application of            Algorithm1 using the CAMShift method where the face was tracked where the results were weak due to sufficient contrast between Face and background area, the algorithm1 was created to implement the method, [2].

      Example2 is using the method Kanade Lucas Tomasi (KLT), which is a simple system where it is able to detect the face and track it where the system is able to detect the face when the head moves and tilts, with Estim Geometric Transform (EGT) function and Duration Geometric Transform (DGT),  The algorithm 2 was created to implement the method.

   The examples in this work show the implementation and efficiency of the mentioned algorithms
Stability Analysis of Caputo Fractional Model for HIV Infection
Authors: Khalaf Sanaa L. , Lazim Zainab A.
Published: October 2023

This study presents a partial Caputo model of HIV infection. It has been demonstrated that there is a unique non-passive solution identified in this paper. For a fractional Caputo analysis, we proposed a model that represents HIV infection, and suggested that within the body of a seven-dimensional Caputo fractional organism it is a model that represents the dynamics of HIV. The in vivo micro-Caputo model was not only presented in biological terms, but also mathematically. Infection-free new equilibrium points exist and the local stability of these points is checked. In addition, the next generation matrix method is used to measure the baseline reproduction rate for each HIV strain
The Security Threats and Solutions of Network Functions Virtualization: A Review
Authors: Mazher Alaa Noori , Waleed Jumana , MaoLood Abeer Tariq
Published: October 2023

The appearance of Network Functions Virtualization (NFV) has provided a revolution in various network-based applications owing to its different advantages like manageability, flexibility, security, and scalability. The users of NFV are provided with a framework that supplies different flexible network services in a dynamic way via the software-based virtualization of network functions in a single infrastructure. Nevertheless, NFV confront various challenges of security which make it vulnerable to several cybersecurity threats. In this paper, a review of NFV has been provided by introducing many related works, discussing serious and potential security attacks on the NFV, and presenting the efficient countermeasures for mitigating these attacks. Finally, several practical solutions are suggested for providing a reliable platform for NFV
Estimate Reliability Function of Inverse Lindley for Strength – Stress Models
Authors: Hssein Ali N.
Published: October 2023

Cascade models are considered as a special case of standby redundancy of stress strength modes. Inverse Lindley distribution belong to an exponential family distribution and it can be written as invers of Lindley distribution

This study concerns some Inverse Lindley Distribution’s properties. cascade models with stress and strength variables that follow inverse Lindley distribution has been simulated. Reliability function of inverse Lindsley distribution for stress strength cascade models was estimated using both Likelihood and Bayes method. Compresence between these two methods has been made.
The Numerical Implementation of the Image Filtering Method with Computations in the Residue Number System
Authors: Alsaedi Rusul Jabbar
Published: October 2023

The use of the Residue Number System (RNS) instead of the known binary arithmetic proposes, it is substantiated that the application of the non-position RNS will allow increasing the speed and reducing power consumption of digital image processing applications. Analyzed known schemes, based on which the process of image filtration occurs. The inefficiency of the application of known schemes is substantiated, connected with the possibility of errors due to the overflow of the dynamic range of the RNS. A new scheme of the filtration transformation process is given, which allows obtaining correct results of digital processing, independent of the size of the digital image being processed and the filter mask. The obtained results can be used in the construction of specialized digital image processing systems with low power consumption and high speed of operation.
On Some Properties in Fuzzy Metric Space
Authors: Sabri Raghad I. , RASHEED Mohammed , Alabdali Osama , SHIHAB Suha , RASHID Taha
Published: October 2023

Fuzzy metric spaces theory has an essential significance in mathematics, statistics, computer science, etc. In this paper, several basic properties of the fuzzy metric space (FM-space) ( ) are discussed. The concepts of fuzzy convergent sequence, fuzzy Cauchy sequence, fuzzy open ball and fuzzy closed ball are recalled, then main theorems related to these concepts are proved.
Fuzzy Set Technique Application: The Solar Cell
Authors: Mohammedali Maiada Nazar , RASHEED Mohammed , SHIHAB Suha , RASHID Taha , Abed Hamed Saad Hussein
Published: October 2023

The fuzzy set technique has been used in order to investigate PV parameters in this paper. These parameters are determined in the laboratory practically. Then, the fuzzy set technique is applied in order to examined and analyzed the optimal data of PV parameters theoretically. The results of the parameters obtained are compared which is a simple technique for the calculations. The results showed that the proposed technique is very suitable and accurate for the investigation.
Mean-Discrete Algorithm for Individuality Representation
Authors: Mohammed Bayan Omar
Published: October 2023

A biometric is one of the common types of pattern recognition, which acquires biometric data from a person. From these data, a feature is established and extracted where these features can be used to identify individual. Exiting works in biometric Identification concentrate on unimodal biometric identification. As such, using features that are uniquely belonging to a person would decrease fraud possibility. Hence, owing to their great accurateness, multimodal biometric systems have become more favored compared with unimodal biometric systems in identification. However, these systems are highly complex. We proposed Mean-Discrete feature-based fusion algorithm for person detection. Its viability and advantage over the unimodal biometric systems are highlighted.
The Application of Color Image Compression Based on Discrete Wavelet Transform
Authors: Abdulelah Asma Abdulrahman , Abed Hamed Saad Hussein , RASHEED Mohammed , SHIHAB Suha , RASHID Taha , Kamil Alkhazraji Mohammed Thamer
Published: October 2023

The rapid progress in technology has been the use of color images that contain very large data and to transfer large information without loss of image information led to the creation of an important tool used to compress the color image, which is the modern wavelengths derived from polynomials, depending on the influencers (s,r) responsible for expansion, contraction and compensation in The parent function for obtaining the functions at each point depends on the influences responsible for the formation of the wavelet functions from which we derive the appropriate filter responsible for analyzing the color image and divide it into parameters that divide into two parts Approach and Details. In this work, new wavelets were used in order to find the exact solution to a number of important numerical problems in the field of mathematics. These methods are tested in the field of multi resolution analysis (MRA) for using in the field of image processing where it was used in the analysis and compression of the color image, calculating the most important image quality Mean Square Error (MSE) and Peak signal-to-noise ratio (PSNR). Standards and comparing the results with the results obtained using standard wavelets used in the Matlab program that was used in this work. In physics, the images of atoms were taken, random images were designed and designed with a size (256 x256) that were processed using modern wavelets.
Comparison Study Between Classic Chord and Inverse Quadratic Interpolation Methods
Authors: RASHEED Mohammed , SHIHAB Suha , RASHID Taha , Abed AL-Farttoosi Ola Abdulehah
Published: October 2023

Many numerical approaches have been proposed for solving a non-linear equation (PV cell model). In this paper, Inverse Quadratic Interpolation method using initial value x_0 is implemented in MATLAB for solving the problem of this design. Comparisons the results obtained in terms of number of iterations and absolute error show promising application of the proposed method for solving nonlinear examples.
Congestion Management in MPLS Network Based on Hybrid Particle Swarm Algorithm
Authors: Yousif Samar Taha
Published: October 2023

To minimize the network congestion problem, a multi-constraint optimization mathematical model is established and a hybrid particle swarm algorithm based on the Tabu search algorithm is proposed. The algorithm integrates Tabu search into particle swarm algorithm, which can prevent the algorithm from falling into the local optimal solution, and gives a better initial individual for Tabu search, so it can speed up the algorithm convergence and improve the quality of the solution. The simulation was done using Matlab and the results show that the optimization algorithm reduces the end-to-end delay and packet loss rate, thereby avoiding network congestion and optimizing the utilization of network resources.
Iterative Methods for Finding Roots of Nonlinear Equations
Authors: RASHEED Mohammed , SHIHAB Suha , Rashid Ahmed , Rashid Taha , Abed Hamed Saad Hussein , Ridha AL-Sabbagh Yasir Ahmed
Published: October 2023

In the present work, two iterative techniques have been displayed in order to solve non-linear equation. These two techniques are free from second derivative and per evaluation; they require five and six iterations with a first derivative of the function. Analysis of the PV model has been studied in term of function evaluations appears that the proposed technique is superior. It is practical interest is investigated by some numerical examples.
Some Step Methods Applied to Nonlinear Equation
Authors: RASHEED Mohammed , SHIHAB Suha , Rashid Ahmed , Rashid Taha , Rashid Taha , Abed Hamed Saad Hussein , Abdulwahhab Saja saber
Published: October 2023

In the present work, we exhibit a third order family of  a new iteration method Dekker's and Classic Chord methods for solving nonlinear equations of single diode solar cell model. These methods have free from computation of second order derivatives of the functions and per iteration, one estimation of the function; while just two evaluations involving it is first derivative. Analysis of this family of these numerical methods investigates that it is iterative solution is convergence. Some numerical examples are introduced to show the accuracy, efficiency and good performance of the proposed method.