bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pelaksanaan Ekonomi Liberal dan Politik Etis pada Desa Kedungsumber Bojonegoro
Authors: Rahman Dimas Fatur , Adelia Diandra , Perdana Yusuf 
Published: October 2023

Bojonegoro sejak masa Hindia Belanda dikenal sebagai salah satu daerah di pulau Jawa yang mengalami kemiskinan dan kemorosotan kesejahteraan atas rakyatnya. Waduk Pacal yang didirikan di desa Kedungsumber dibuat sebagai upaya dari pemerintah Hindia Belanda sebagai langkah taktis politik etis untuk mengatasi permasalahan kekeringan yang berkelanjutan Tujuan dari penulisan artikel ini adalah untuk mengkaji dan memberikan gambaran mengenai sejarah Indonesia tentang pelaksanaan ekonomi liberal dan politik etis yang dilakukan di Bojonegoro, khususnya di desa Kedungsumber. Dalam penelitian ini, peneliti menggunakan pendekatan kualitatif yang bersifat deskriptif dengan teknik pengambilan data melalui studi literature atau studi kepustakaan. Hasil dari kajian telaah ini menyatakan bahwa masyarakat desa Kedungsumber dan sekitarnya mengalami kemunduran secara sosial ekonomi pada masa ekonomi liberal, namun mereka mendapatkan titik baliknya ketika memasuki masa politik etis walaupun melalui beberapa penyesuaian.Kata Kunci : ekonomi liberal, politik etis, pedesaan. AbtractSince the Dutch East Indies era, Bojonegoro was known as one of the areas on the island of Java that experienced poverty and a decline in the welfare of its people. The purpose of writing this article is to examine and provide an overview of the history of Indonesia regarding the implementation of liberal economics and ethical politics carried out in Bojonegoro, especially in the village of Kedungsumber. In this study, researchers used a descriptive qualitative approach with data collection techniques through literature studies or literature studies. The results of this study stated that the people of Kedungsumber village and its surroundings experienced a socio-economic setback during the liberal economic period, but they got a turning point when they entered a period of ethical politics even though they went through several adjustments.Keywords : liberal economy, ethical politic, rural.
Tradisi Pernikahan Adat Suku Makassar di Desa Karelayu Kecamatan Tamalatea Kabupaten Jeneponto
Authors: Yanti Masda , Agustang Andi , Syukur Muhammad 
Published: October 2023

Penulisan ini bertujuan untuk mengetahui Tradisi Pernikahan yang berada di Desa Karelayu. Kemudian mengetahui titik temu antara Islam dan tradisi Lokal dan pandangan masyarakat tentang tradisi pernikahan sebagai pertemuan Islam dan tradisi local. Penulisan ini menggunakan metode penelitian Sejarah yang terdiri atas empat tahapan yakni : Heuristik (pengumpulan data dan sumber), kritik sumber yang terdiri dari kritik intern dan kritik ekstern, interprestasi dan penafsiran dan historiografi atau penulisan Sejarah. Hasil penulisan menunjukkan bahwa tradisi pernikahan ialah tradisi yang sangat sacral yang sering dilakukan oleh masyarakat setempat khususnya di Desa Karelayu yang dimana tradisi pernikahan ini mempunyai beberapa tahap didalamnya seperti peminangan, ma’manu’manu’, assuro, tappukana, ma’pacci, simorong, akad nikah, tudang atau A’gau’ dan mapparola, nilekka atau ni palele. Adapun titik temu antara islam dan tradisi local yaitu proses yang dilakukan sebelum acara pernikahan berlangsung ialah melakukan penyajian makanan, kemudian melakukan barasanji pada saat prosesi mappacci dan dirangkaian dengan appatamma’ kemudian doa bersama agar proses pernikahan berjalan dengan lancer. Kemudian pandangan masyarakat terkait tradisi pernikahan sebagai pertemuan Islam dan tradisi local itu tidak bisa ditinggalkan karena tradisi yang dilakukan ialah sudah menjadi turun temurun yang dilakukan oleh nenek moyang, dan tradisi tersebut tidak lepas dari ajaran Islam. AbstractThis writing aims to find out the wedding traditions in Karelayu Village. Then find out the meeting point between Islam and local traditions and the community's view of wedding traditions as a meeting of Islam and local traditions. This writing uses the historical research method which consists of four stages, namely: Heuristics (collection of data and sources), source criticism consisting of internal criticism and external criticism, interpretation and interpretation and historiography or historical writing. The results of the writing show that the wedding tradition is a very sacred tradition that is often carried out by the local community, especially in Karelayu Village where this wedding tradition has several stages in it such as proposal, ma'manu'manu', assuro, tappukana, ma'pacci, simorong, marriage contract, tudang or A'gau' and mapparola, nilekka or ni palele. The meeting point between Islam and local traditions is that the process carried out before the wedding takes place is serving food, then doing barasanji during the mappacci procession and arranging appatamma' then praying together so that the wedding process goes smoothly. Then the view of the community regarding the wedding tradition as an Islamic meeting and local traditions cannot be abandoned because the traditions carried out are already passed down from generation to generation by ancestors, and these traditions cannot be separated from Islamic teachings.Keywords: Wedding tradition, Makassar tribe
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
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.
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.
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.
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
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.
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.
Effect of local thermal non-equilibrium on the onset of convection in an anisotropic bidispersive porous layer
Authors: Mankhi Israa M. , Haddad Shatha A. 
Published: October 2023

The onset of thermal convection of a fluid saturated anisotropic bidisperse porous medium under the condition of local thermal non-equilibrium is investigated. We have studied the case of flow in the macropores and micropores when the porous materials are of Darcy type. The temperatures in the macropores and micropores are allowed to be different. We concentrate our attention on the state of a permeability tensor is transversely isotropic with the isotropy axis in the vertical direction of gravity and the permeability ratios of vertical to horizontal are different in the macropores and micropores . The effect of various parameters on the stationary convection is discussed. In particular the effects of macro permeabilities, the micro permeabilities, the measure between the permeability in the macro phase and micro phase and various interaction parameters on the stationary convection are studied. The numerical results are presented for free-free boundary conditions.
On Solving Nonlinear Equation Via Numerical Analysis for Photovoltaic Cell
Authors: RASHEED Mohammed , Rashid Ahmed , Rashid Ahmed , Rashid Taha , Abed Hamed Saad Hussein , Jasim AL-Kinani Mohammed Hussein 
Published: October 2023

Several numerical formulas have been introduced and analyzed in this paper. Based on the initial value x_0 used with each methods; these methods is used for solving the nonlinear equation of PV cell (single-diode). Several experiments are employed in order to examine these methods. Comparison of the results acquired in terms of number of evaluations reveal promising application of the proposed new method for nonlinear examples.
Eye Blinking for Command Generation Based on Deep Learning
Authors: Salih Meaad Mohammed , AlSaif Khalil Ibrahim 
Published: October 2023

Due to progress in the field of deep learning in order to find and track objects through the use of computer vision in the service of large segments of the population, as it was adopted in the field of serving people b with special needs for the sake of dialogue and implementation of many requests in this research, a series of commands for use by people with special needs with speech problems or paralysis, where the ability to use the eye blink is very useful for social communication, were developed. In this research, the orders needed by the target people with special needs were studied, and (11) commands were identified that can be increased according to the intended sample. A table of commands was built depending on the length of the eye blink period. By creating a modified CNN: Convolutional Neural Network structure and training it on 2 different database, deep learning was used to identify and determine if the eye is closed or open (mrlEye2018 and Closed Eye in the Wlid:CEW).It was then followed by a test on all of the chosen examples, in different contexts and at various ages. The test on the data yielded excellent results, with 99% percent accuracy on data from test samples and 97.5% and 96% percent accuracy on training data in each case. To check the cases (11) suggested commands, the proposed system was evaluated on a collection of videos taken in real time and under normal recording circumstances through a camera, and the correctness of generating the codes that was proposed was 94% percent on four tries in each of the above instances.
Decompress Image Using Finite Difference Method
Authors: ALKHALISSI Jumana H.S. , MAHDI Ahmed Mohsin 
Published: October 2023

A lot of techniques are represented to have a useful for denoising and in-painting digital images. These techniques are based on a partial differ- ential equations (PDEs). Thus, we need to find the solution of PDEs. In this work, we consider a finite difference method to solve PDEs approxi- mately based on image compression. In addition, we compared the results in different criteria of the errors
Nearly Quasi Primary-2-Absorbing Submodules
Authors: Abdullah Omar A. , Dahash Mohmad E. , Mohammadali Haibat K. 
Published: October 2023

Let be a nonzero unital left -module and be a commutative ring with nonzero identity. As a generalization of 2-Absorbing submodules, we provide the idea of Nearly Quasi Primary-2-Absorbing submodules in this article. As a proper submodule of is called the Nearly Quasi Primary-2-Absorbing submodule of , if whenever for , , implies that either or or . Several properties, characterizations and examples concerning this new notion are given.
A Review of Image Segmentation Methods in Brain Tumor
Authors: Mutlaq Marwa Adel , Abdulbaqia Hayder Saad 
Published: October 2023

Accurate segmentation of the medical image of the brain is significant stage in the identification of a brain tumor during the preparation of radiotherapy. In general, medical images are utilized as radiographic techniques in diagnosis, clinical studies, and therapy planning, Segmentation is one of the most widely used methods to correctly classify the pixels in an image , This review sheet discusses a comprehensive literature review of modern methods of brain tumor segmentation, and outlines the extent and robustness of each currently existing method for brain tumor clinical image segmentation.
Self- Driving With Deep Reinforcement ( Survey )
Authors: Abdalameer Hayder Salah , Al-Shammary Ali Abid 
Published: October 2023

We will focus concentrating on the scientific and technological challenges that the development of autonomous vehicles brings to a number of different manufacturers and research organizations (AVs). It is anticipated that automobiles operated by humans will continue to be a common sight on the roads for the foreseeable future; nevertheless, it is possible that autonomous vehicles may coexist in the same traffic environments. In order to keep traffic moving smoothly throughout the various sorts of mixed-use zones, autonomous vehicles (AVs) need to have driving rules and negotiation abilities that are analogous to those used by humans. In order to develop driving abilities that are comparable to those of humans, model-free deep reinforcement learning is used to simulate the actions of a skilled human driver. In this simulation, the difficulty of avoiding static obstacles on a two-lane roadway is investigated .
A comparative Study of Image Enhancement Techniques for Natural Images
Authors: Ismael Ahmed Naser 
Published: October 2023

Enhancement is most interesting parts in image processing field. It uses to enhance the structural appearance for picture without the degradation in the original input image. The enhancement techniques become the important key and simply extraction features by removing noise and another items inside an image. Several enhancement techniques have achieved with different and inaccurate results. The aim of this paper, the nature images quality was improved by the many enhancement techniques like of Histogram Equalization (HE), Local Histogram Equalization (LHE), Adaptive Histogram Equalization (AHE), Contrast Limited Adaptive Histogram Equalization (CLAHE), Brightness Preserving Bi-Histogram Equalization (BBHE), Dualistic Sub-Image Histogram Equalization (DSIHE) and Recursive sub-image histogram equalization (RSIHE). In evaluation step, the performance of all these techniques are examined by values measurements of SSIM (Structural Similarity Index Matrix), Entropy, Peak Signal-to-Noise Ratio (PSNR) and Signal to Noise Ratio (SNR). The comparisons of the better existing results are given because to explain the best possible technique that can be used as suitable image enhancement. The results of the enhanced of 15 nature images have showed DSIHE technique has a batter a values of SSIM and Entropy with 0.9885 and 59975 respectively. Overall, based on the PSNR and SNR values, the CLAHE technique are recorded values higher than of other six techniques in 21.2952 and 192932 values.
Characterizations of Almost Approximaitly Nearly Quasiprime Submodules in Some Kinds of Modules
Authors: Ajeel Ali Sh. , Mohammadali Haibat K. 
Published: October 2023

Our main goal in this note is to introduce several characterizations of Almost approximaitly nearly quasiprime submodule in class of multiplication modules. Moreover, we characterized Almost approximaitly nearly quasiprime submodules by theirs residual in class of multiplication modules with the help of some types of modules as projective, faithful, content and -regular modules. And we characterized almost approximaitly nearly quasiprime ideal by almost approximaitly nearly quasiprime of the form .
New random version of stability via fixed point method
Authors: Shalaal Atheer Mnaathar , ALshybani Shaymaa 
Published: October 2023

We studied the stability of the cubic functional equation:
3 ß( +3 ƴ)-ß(3 + ƴ)=12 [ß( + ƴ)+ß( - ƴ)]+80 ß(ƴ)-48 ß( ). (1.1)
via fixed point method in random normed space (ȐṄ −space).