bluuebunny/crossref_metadata_2025 huggingface dataset:
Atividade acaricida de extratos de Mauritia flexuosa e Mauritiella armata em Rhipicephalus microplus (Ixodidae)
Authors: De Oliveira Vasconcelos Viviane , Morais Costa Franciellen , Pimenta Cruz Juliana , Simone Caldeira Santos Geisa , Gomes Figueiredo João Carlos , Ribeiro Arrudas Sônia , Robson Duarte Eduardo
Published: July 2023

Introdução: Rhipicephalus (Boophilus) microplus ocasiona grandes perdas econômicas nos rebanhos bovinos e seu controle por meio de carrapaticidas sintéticos enfrenta problemas de resistência, além do risco de resíduos nos alimentos e ambiente. Objetivo: Avaliar os efeitos de extrato etanólico de folhas de Mauritia flexuosa (EEF) e Mauritiella armata (EEA) em R. microplus. Método: A ação do extrato etanólico de ambas as palmeiras (EEF e EEA) sobre os parâmetros reprodutivos de fêmeas ingurgitadas foi avaliada pelo método de biocarrapaticidograma e mortalidade das larvas pelo teste pacote de larvas (LPT). A caracterização da composição química presente nos extratos foi realizada por cromatografia gasosa (CG-EM). Resultados: O EEF e EEA foram eficientes na redução da eclodibilidade larval apresentando eficácia superior a 85% nas concentrações acima de 75 mg mL-1. Entretanto, os efeitos dos extratos na mortalidade de larvas não foram significativos em nenhuma das concentrações testadas. Catequinas foram identificadas pela CG-EM nos extratos de M. flexuosa e M. armata, sendo indicado como um importante flavonoide de ação antiparasitária. Conclusão: EEF e EEA podem interferir nos parâmetros reprodutivos de R. microplus, diminuindo a infestação larval, demonstrando ser uma alternativa promissora no controle desse ectoparasito.
Symptomatic Intracranial Hypertension Secondary to Superior Vena Cava Thrombosis as the First Manifestation of Behçet’s Disease
Authors: Sadry Payam , Magsi Rayan , Ahmed Maahum , Amsdell Jennifer , Derani Talal , Mahfooz Naeem , Sheikh Ajaz
Published: July 2023

Introduction:

Behçet’s disease (BD) is a rare inflammatory autoimmune disorder characterized by recurrent oral and genital ulcers, uveitis, and other systemic manifestations. Reported neurological manifestations of BD include meningoencephalitis, cerebral venous thrombosis, intracranial hypertension (ICH), and cranial nerve palsies. Involvement of the superior vena cava (SVC) is rare but should be considered in patients with BD with suspected ICH.

Case Report:

A 32-year-old man presented with ICH as the initial manifestation of BD. He presented with a one-week history of facial and neck edema, headache, and blurry vision, followed by fever, sore throat, and oral blisters a few days later. Lumbar puncture (LP) was performed, and opening pressure was found to be elevated at >50 cmH2O and closing pressure of 36 cmH2O. The work-up included a chest CT, which identified thrombosis of the SVC extending into the brachiocephalic veins, and blood work which revealed elevated inflammatory markers. Further probing revealed a history of genital ulcers and a family history of a cousin with BD. The patient underwent mechanical thrombectomy and was treated with oral prednisone with symptom resolution.

Conclusion:

BD has a wide spectrum of symptomology and may present without common manifestations, making it challenging to diagnose. The aim of our report was to emphasize the importance exploring the rarer vascular, neurological, and cardiac symptoms of BD in order to avoid potentially dangerous sequala. A system approach may be necessary to diagnose and optimally treat these patients.
Eco-Printing: Domestic technique of textile printing using the leaves of Rose Indica
Authors: Aanchal Manuja  , Itee Ojha  , Dr. Monisha Singh
Published: July 2023

Clothing is one of the basic needs of human being; it has many functions like protection, identification, modesty, status and adornment. Human beings always loved to adorn their body and clothes by various techniques of value addition. Printing their clothes with colours are one of them. There are many printing techniques which can be used to print the clothes at domestic level like block printing, screen printing, stencil printing, hand printing etc. One of the latest techniques is eco printing. It is a technique of printing clothes by putting various parts of plants into the layers of fabric and steaming them for specific time period. Rose Indica (Rose flower) have many medicinal property, petal of rose flower is used in various edible and cosmetic products, but almost in all cases the leaves of this plant is discarded. In this experimental study an effort has been made to develop botanic print of rose leaves on silk and cotton fabric, standardizing the process and testing the colourfastness of the prints. Developed prints were tested for colourfastness to washing, dry cleaning, perspiration, rubbing, and sunlight exposure by following various ISO and AATCC standards, as no harmful chemicals were used, the developed products are also considered as eco-friendly. Results shows that the rose leaves printed cotton fabric develop clear print on fabric with bright colours; it also produces excellent colour fastness to washing, perspiration, dry cleaning and crocking but it exhibit poor colourfastness to exposure to sunlight.
A Study on COVID-19 Pandemic Mitigation Strategies for the Indian Telecommunications Industry
Authors: Dr Mandli Vijaykumar Yadav  , B.R. Spandana
Published: July 2023

This article discusses the impact of the COVID-19 pandemic on India's telecommunications industry, including changes in consumer behaviour, market trends, and government policies. It then outlines ten strategies that Indian telecommunications companies can adopt to mitigate the adverse effects of the pandemic and take advantage of potential opportunities for growth and innovation in the industry. These strategies include strengthening digital infrastructure, offering affordable and flexible plans, enhancing customer support services, leveraging technology, diversifying revenue streams, partnering with content providers, offering work-from-home packages, prioritizing network maintenance and upgrades, providing data security and privacy, and engaging with customers through social media.
inequidad en salud de deportistas profesionales en Colombia:
Authors: Araque Jaramillo Sandra Milena , Lara Díaz María Fernanda
Published: July 2023

Este artículo analiza las inequidades en la salud de los deportistas en Colombia mediante la comparación de tres deportes. Objetivo. Describir las principales inequidades en salud de deportistas profesionales de ciclismo, boxeo y tenis en Colombia a partir del análisis de los relatos de vida. Materiales y métodos. El estudio cualitativo utilizó el enfoque etnosociológico para analizar las trayectorias de vida de 9 deportistas. El análisis de la información se realizó utilizando el enfoque de los determinantes sociales de la salud. Resultados. Independientemente del deporte analizado, se evidencian desigualdades relacionadas con los determinantes estructurales vinculados al contexto socioeconómico y político (políticas deportivas, la cultura y los valores sociales) y relaciones de poder (la clase social, el género y la raza/etnia); así como en los determinantes intermedios relacionados con los recursos materiales (apoyo económico y emocional, relación con el entrenador) y las condiciones de trabajo (contrato laboral, jornada de trabajo y autonomía). Conclusión. El estudio describe cómo el deporte produce y reproduce inequidades sociales e invisibiliza las prácticas cotidianas que afectan a la salud de los deportistas. Así mismo, se muestra la falta de implementación de políticas públicas que contribuyan al desarrollo del deporte profesional, que, si bien ha sido promovido para mejorar la salud, genera diferencias en salud, injustas y evitables.
Comparative Study of the Effectiveness of Banana and Lemon Peels Powder as Natural Coagulants for Domestic Wastewater Treatment
Authors: Daffi Rose E. , Alfa Meshach I. , Wamyil Fwangmun B. , Lagasi Joseph E.
Published: July 2023

The effect of chemical coagulants on the properties of effluent of treated wastewater necessitated the investigation of the use of natural-based coagulants as possible alternatives. Natural coagulants used were used with the aim of investigating their effectiveness in treating domestic wastewater compared to alum. One (1) litre of domestic wastewater was treated with fifteen (15) different total dosages of 0.8 g, 2.4 g and 4.0 g of banana peel, lemon peel and mixture of banana and lemon peels powder and one (1) dosage of 0.25 g of alum. The parameters tested were pH, turbidity, total dissolved solids (TDS), hardness and colour. The raw wastewater had values of pH, TDS, turbidity, colour and total hardness as 4.7, 901 mg/l, 899mg/l, 8440 pt-co and 1245 mg/l respectively. The best percentage removals were 86.2%, 73.7% and 76.4% for turbidity, TDS and colour at the optimum dosage of 2.4 g/l lemon peels powder. Lemon peel of 2.4g/l also led to improvement of pH from 4.7 to 6.5 (27.7% increase). Maximum hardness reduction was 24.9% with mixture of 0.6 g lemon and 0.2 g banana peels powder. Generally, lemon peels powder showed the potential to perform better as natural coagulant in wastewater treatment and in combination with banana peels. It gave better results than alum except in colour reduction which was 85.6% using alum. It is therefore recommended that lemon peel should be used for domestic wastewater treatment.
A Technique for End-Effector Force Estimation in Parallelogram Arm Robot using Link-Integrated Load Cells
Authors: Ayodele Kayode P. , Omolayo Isaac , Komolafe Elisha A , Jubril Abimbola M. , Obreba Paul , Ogunmodede Adebimpe , Olateju Emmanuel , Ajayi Oluwaseun , Olaogun Matthew O.B. , Komolafe Morenikeji A.
Published: July 2023

In end effector rehabilitation robots, user effort is usually measured using highly accurate, but expensive, multi-axis force/torque (F/T) sensors. These sensors are not easily available in developing countries. An alternative force sensing method, making use of low-cost load cells mounted on the active links, is presented. In this study, a model of a robot using the proposed sensing technique was developed, with the placement of the load cells justified using kinematic and dynamic analyses. The relationship between the force applied at the end effector, and force experienced by the load cells was determined. Preliminary experimental validation of the ability to estimate end effector force from the link-integrated load cells was carried out using finite element analysis in SolidWorks. Initial evaluation of tracking accuracy resulted in an average root-mean-square error (RMSE) of 0.566. The application of compensators generated from polynomial regressors resulted in over 300% improvement in performance, resulting in an average RMSE of 0.053. The results show that proposed technique can be used to accurately estimate forces at the end effector at relatively low costs.
Development of a Sign Language E-Tutor using Convolutional Neural Network
Authors: Adanigbo Opeyemi O , Oyewole Temitayo O.
Published: July 2023

Deaf and hearing-impaired people typically use sign language as their primary form of communication. This study designed a Convolutional Neural Network-based Sign Language e-tutor which removes language barriers between people who are deaf and use sign language and people who can hear and speak. Thus giving deaf people a way to communicate with hearing people in real time, with no need to write notes or use a human sign language interpreter. The method used is comprised of four major phases: data collection, data preprocessing, model training and model evaluation. The Model Precision, Accuracy, Recall and f1 score were 0.977, 0.985, 0.99, and 0.99 respectively.
Influence of Ammonium Chloride Buffer Solution on the Photo-Electro-Chemical (PEC) Cell and Optical Performance of Mos2 Thin Films
Authors: Olusola Olajide I
Published: July 2023

Thin films of molybdenum disulphide (MoS2) of approximately same thickness of 290 nm have been successfully synthesized with and without ammonium chloride (NH4Cl) buffer solution using electrodeposition growth technique. The experimental results obtained showed that NH4Cl buffer solution has an obvious effect on the photo-electro-chemical (PEC) cell and optical performance of electrodeposited MoS2 (ED – MoS2) thin films. The MoS2 thin films prepared from NH4Cl buffer solution possess better electronic properties than the ones prepared without the buffer when measured under dark condition. Open circuit voltage of   ~0.556 V and ~0.382 V were obtained for samples prepared with and without a buffer solution respectively. MoS2 from buffer solution had higher maximum power (Pmax) of 0.710 mW while the ones without a buffer solution had a Pmax value of 0.258 mW Also, both materials showed different electrical conductivity type possibly due to the influence of chlorine in the prepared electrolytic bath. The optical results revealed similarity in the energy band gaps of both materials with a little variation. In the same vein, both MoS2 thin films showed optical conductivity of same order but MoS2 thin films prepared with buffer solution have higher magnitude than the ones without a buffer solution. These preliminary results revealed that more efficient MoS2 films for photovoltaic application can be developed / deposited using an electrolytic bath containing NH4Cl buffer.
Air Pollution Forecasting using Fuzzy Time Series Models for Kaduna Metropolis, Nigeria
Authors: Folaponmile Adenike , Kolawole Samuel. F. , John Samuel N.
Published: July 2023

Fuzzy Time Series (FTS) is able to eliminate the problem of overfitting that is fundamental to Artificial Neural Network (ANN), hence this study used air pollution data acquired from three different sampling stations in Kaduna metropolis, Nigeria, to implement FTS using the Adaptive Neuro Fuzzy Inference System (ANFIS). The fuzzy inference system (FIS) was generated by the ANFIS model using grid partitioning and subtractive clustering optimization types with backpropagation and hybrid training algorithms. The models were implemented using MATLAB 2018b software, and a total of thirteen models were developed. The resulting models were used to forecast the daily mean for the next ten days for each sampling station and for each pollutant. Carbon monoxide (CO), Nitrogen dioxide (NO2), Sulfur dioxide (SO2), Particulate matter, (PM2.5 and PM10) air pollutants were considered. Determination of the accuracies of the developed models in forecasting the next ten days was achieved using the error performance metrics of Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE). The results of the performance metrics from the models in the same category are correlated and indicated similar trends. Comparison and analysis of the models revealed the one with the most accurate prediction for each sampling station and pollutant.
Development of Embedded Control for a Repetitive Pick and Placed Robotic Arm
Authors: Ogunbiyi Olalekan , Idowu Taiwo O. , Adesina Lambe M.
Published: July 2023

Manual execution of tasks is usually strenuous and exhaustive, some tasks may be repetitive in nature such that it requires full concentration. Nowadays, the integration of robotics into commercial and industrial activities to perform repetitive, dangerous, and difficult is becoming a norm. This work focuses on the implementation of a robotic arm. The robotic arm was designed to have six degrees of freedom. The control circuit includes an embedded Atmega328P microcontroller interfaced with servomotors and other glue electronic components such as sensors and buttons. The system is structured and programmed to operate automatically, performing a repetitive routine. The rotation and orientation of the device were tuned by sending required pulse width modulation (PMW) signals to different servomotors, such that they rotate as desired. The system employs six potentiometers in varying the duty cycle generated by the microcontroller. The system is structured such that three servomotors manipulate the motion of the body, the shoulder, the arm elbow, and the base. Manipulations of the end effector were also carried out by another three servomotors, each one controlling the gripper pitch, the movement of gripper spin, and that of the gripper itself. The constructed robotic arm gives a good response when tested for repetitive picking of objects. A similar acceptable performance was repeated in the autonomous lifting and dropping of objects items.
Analysis of Simulated Annealing to Decongest Traffic in a Multi-Road Coordinated Intersection
Authors: Abdulhameed Idris A. , Akanni Abiodun O. , Omidiora Elijah O.
Published: July 2023

Following the rapid growth of cities,the continuous expansion of cities, too many vehicles competing for limited capacity transportation, Researchers on a daily basis are working tirelessly to solve the problem of road traffic congestion as it increases the increasing probability of accidents and has a negative impact on the environment. In this paper, we focused on MATLAB as it is far better (financially) than using commercial tools for traffic simulation adopting a Simulated annealing algorithm.  We created an objective function which in turn generated the fitness or best values using the equation: f = inline 20(C1)4 + 16(C2)2., while the traffic model consisted of 14 radio buttons, 12 text boxes and edit boxes) splitting into a cross road and adjoining T-junction separated by a distance to make it coordinated.  After the signal time cycle, there were six (traffic) phases, each showing the decongestion time and fitness function. In Case 1, the decongestion time was within the range of 9s and 41s, while the second’s was within the range of 2s and 58s. Further analysis revealed the relationships between generated fitness values and decongestion times. Another table was designed to show the analysis of the lanes’ decongestion times, the phases and cycles involved. It was shown that the six lanes were touched in at most two phases in the two cases considered. In future, researchers should compare the theoretical values to real-life cases, and include emergency conditions (ambulance & police vans).
Analisis Sentimen E-Wallet Menggunakan Support Vector Machine Berbasis Particle Swarm Optimization
Authors: Vamilina Vina , Novita Rice
Published: July 2023

E-Wallet applications in Indonesia have started to be in demand since the Covid-19 pandemic. The object being analyzed is an e-wallet application that is widely used in Indonesia and can be downloaded on the Google Playstore. The applications analyzed are Dana, Ovo, PayPal  Link Aja and Doku. The advantages of these five applications are that Dana is user friendly or easy to use, while using Ovo is superior in terms of benefits, and Doku is superior in terms of security, Link Aja tends to be perceived by consumers in a neutral condition between security and user convenience because it is an e-wallet. It is still considered new in Indonesia, and  PayPal has become a successful online payment system in C2C field. The focus of this research is to compare the comments of the users of the five applications. The method used in this study is the Support Vector Machine (SVM) algorithm. To produce high accuracy it is optimized using the Particle Swarm Optimization (PSO) algorithm. This was taken based on previous studies which stated that SVM-PSO has the highest percentage of accuracy compared to other algorithms. The data used is a thousand (1000) per application. So, the total amount of data is five thousand (5000) data. The results of the research show that the Ovo e-wallet is superior because it has the most positive comments, namely 579 and 421 negative comments, while the lowest position is occupied by Link Aja which only has 579 positive comments and 421 negatuve comments. In the process of sentiment analysis, the accuracy percentage of the SVM-PSO algorithm was also obtained, which was 91.10% in the Link Aja application. This means that SVM-PSO is very suitable to be combined to get the highest accuracy
Penerapan Deep Learning Menggunakan Gated Recurrent Unit Untuk Memprediksi Harga Minyak Mentah Dunia
Authors: Saputra Nugroho Wahyu , Insani Fitri , Agustian Surya , Sanjaya Suwanto
Published: July 2023

Crude oil is a much-needed energy for the whole world. Each country is inseparable from the use of crude oil for use in various sectors, such as transportation, so that the price of world crude oil is the most important variable for the world. Fluctuations in oil prices will cause various problems, such as inflation, changes in market prices, and others. Therefore, the prediction of world crude oil prices is very important as a consideration for decision making. This study implements deep learning using the Gated Recurrent unit model. The data used is the price of Brent crude oil with a total of 5834 data, starting from January 4, 2000 to December 19, 2022. The parameters used are the number of GRU units, batch size, and lookback. The best model produced in this study is the GRU model with hyperparameters consisting of 30 lookbacks, 50 GRU units, and 256 batch sizes with the lowest MAPE value among the other models, which is 2.25%. The MAPE value states that predictions using the GRU model are said to be very good at predicting world crude oil prices
Agglomerative Hierarchical Clustering (AHC) Method for Data Mining Sales Product Clustering
Authors: Lubis Ridha Maya Faza , Huang Jen-Peng , Wang Pai-Chou , Khoifin Kiki , Elvina Yuli , Kusumaningtyas Dyah Ayu
Published: July 2023

Supermarkets are Indonesian terms that refer to large stores or supermarkets that offer a variety of daily needs such as food, drinks, cleaning products, household appliances, clothing, and so on. In contrast to stalls or small shops, supermarkets have a larger size and provide a variety of products. Because of this, many people prefer to shop for their daily needs at the supermarket rather than at the nearest shop because the existence of the supermarket makes it easier for consumers to buy various products in one place without having to move to another store. However, sales in supermarkets also pose a problem, namely how to sort or group products that are not selling well so they can be replaced with products that are selling better or reduce the number of suppliers. This is where data mining or data analysis techniques that use business intelligence are needed. The research was conducted to classify the best-selling products in supermarkets using the Agglomerative Hierarchical Clustering (AHC) method, in which alternatives with the same matrix or distance are grouped into certain clusters. In applying the AHC method, the number of clusters formed is 3. There are three different clusters, namely cluster 0, cluster 1, and cluster 2, each with a different alternative group. Each cluster has a different number of products and a different percentage. Cluster 0 is the cluster with the highest number of products and the largest percentage, namely 45% with a total of 9 products, followed by cluster 2, and cluster 1 has the smallest number of products and percentage, namely 0.30% with a total of 6 products and 0 .25% with a total of 5 products. In addition, sales data for several products each month are grouped based on certain price ranges
Detecting Hoax Content on Social Media Using Bi-LSTM and RNN
Authors: Aji Hilman Bayu , Setiawan Erwin Budi
Published: July 2023

Online media, such as websites and applications, have become a communication tool available on the internet. Social media is a part of online media that can be used to spread news, opinions, or even hoaxes, such as through Twitter. Although hoaxes are difficult to eliminate, several systems have been built using deep learning approaches that can process text and images to detect the truthfulness of news. In this study, four systems were built using four deep learning methods, namely Bi-directional Long Short-Term Memory (Bi-LSTM), Recurrent Neural Network (RNN), hybrid RNN-Bi-LSTM, and hybrid Bi-LSTM-RNN. Feature extraction was performed using Term Frequency - Inverse Document Frequency (TF-IDF) and feature expansion was performed using Global Vectors (GloVe). The data used has been adjusted according to the keyword of fake news on mainstream news portals. This study attempted several scenarios to compare the various methods that have been built, with the aim of finding the best method that provides the highest accuracy. The results showed that the Bi-LSTM method had the highest accuracy of 96.48%, while the hybrid Bi-LSTM-RNN method ranked second with an accuracy of 96.36%, followed by the RNN method with an accuracy of 95.49%, and the hybrid RNN-Bi-LSTM method with an accuracy of 95.34%.
The Effect of Feature Weighting on Sentiment Analysis TikTok Application Using The RNN Classification
Authors: Aufa Rizki Nabil , Prasetiyowati Sri Suryani , Sibaroni Yuliant
Published: July 2023

Social media is a medium used by people to express their opinions. In its development, social media has become a necessity in social life. One of the most popular social media applications since 2020 is TikTok. Short videos with an average duration of 60 seconds can entertain the community so that they don't feel isolated. There are 17 million TikTok application reviews in the Google Play store in Indonesia from various user ages. The rapid development of information and technology has led to the pros and cons of this application. Freedom of expression without specific restrictions on content publication negatively impacts the user's mentality. Based on this, sentiment analysis is very important to reveal trends in opinions about applications that are useful for the community in increasing awareness of whether the application is good before use. Proper feature weighting is required to improve the sentiment analysis results' accuracy. More optimal results can be obtained by determining the appropriate weight for different feature weighting. This study compares the TF IDF, TF RF, and Word2Vec feature weighting methods with the RNN classifier on the TikTok app review. The experiment shows that TF RF is superior to TF IDF, with successive feature weighting accuracy with TF RF of 87,6%, TF IDF of 86%, and Word2Vec of 80%. The contribution of this research lies in its exploration of different feature weighting methods to enhance sentiment analysis accuracy and provide valuable insights for decision-making processes.
Sistem Klasifikasi Penyakit Jantung Menggunakan Teknik Pendekatan SMOTE Pada Algoritma Modified K-Nearest Neighbor
Authors: Novitasari Fitria , Haerani Elin , Nazir Alwis , Jasril Jasril , Insani Fitri
Published: July 2023

The heart is a vital organ that plays a crucial role in pumping oxygenated blood and nutrients throughout the body. Heart disease refers to damage to the heart that can occur in various forms, caused by infections or congenital abnormalities. The World Health Organization (WHO) reports nearly 17.9 million deaths each year due to heart disease. In Indonesia, the prevalence of heart disease is around 1.5%, meaning that in 2018, approximately 15 out of 1,000 people, or nearly 2,784,060 individuals, were affected by this disease, according to the Basic Health Research data (Riskesdas) 2018. Many people have limited knowledge about heart health, leading to a lack of awareness of their heart conditions. This can be attributed to a lack of understanding regarding the importance of medical checkups related to heart health. Modified K-Nearest Neighbors (MKNN) is one of the data mining methods applied for classifying the risk of heart disease. The research utilized data obtained from the UCI dataset repository, which consists of 918 records with 12 attributes. To balance the imbalanced dataset with minority classes, the Synthetic Minority Over-sampling Technique (SMOTE) approach was used to generate new synthetic samples from the minority class. The objective of developing a web-based system for heart disease classification is to assist the public in assessing their risk of heart disease as early as possible, enabling them to take preventive actions sooner. The accuracy results of the MKNN algorithm with a 90:10 ratio are 80.37%, while with the MKNN+SMOTE approach, the accuracy increased to 84.00%. The use of the SMOTE approach improved the accuracy of low-performing data.
Twitter Sentiment Analysis of Kanjuruhan Disaster using Word2Vec and Support Vector Machine
Authors: Rizky Fariz Muhammad , Jondri Jondri , Lhaksmana Kemas Muslim
Published: July 2023

The Kanjuruhan disaster on 1 October 2022, gained the peoples attention. People share their thoughts on social media. Their posts contain a variety of perspectives. Sentiment analysis is possible to use on a dataset of people's posts. This final project applies the supervised learning Support Vector Machine (SVM) method with feature expansion using Word2Vec and TF-IDF as weighting. Three SVM kernels—rbf, linear, and polynomial—are applied. Three split data techniques and two different types of training data are used to train each kernel. Training data with oversampling and training data without oversampling are the two types of training data. The best result gained from using rbf kernel, split ratio 70:30, and oversampling. From it, oversampling trained model have relatively stable in every split rasio and kernel without having significant difference.
Handling Imbalanced Data Sets Using SMOTE and ADASYN to Improve Classification Performance of Ecoli Data Sets
Authors: Halim Anthony Mas , Dwifebri Mahendra , Nhita Fhira
Published: July 2023

In this digital era, machine learning is a technology that is in demand by organizations and individuals. In the age of data and digital information, the ability to process data efficiently is needed. As the amount of data grows, there are various problems in machine learning. One of them is that with the increasing amount of data, class imbalance is also often found. Class imbalance is a condition where a class dominates another class, in one example case is when the positive value class has less number than the negative class. The class that is less in number is categorized as the minority class, while the class that dominates the dataset is called the majority class. Class imbalance can affect classification performance in a bad way, so handling imbalanced classes is needed to improve classification results. Classification of imbalanced data using Random Forest has satisfactory results, as well as by implementing SMOTE and ADASYN as sampling methods because they are highly popular and easy to implement. The best model produced in this study is the model that applies SMOTE oversampling on a dataset with 10% IR with a balanced accuracy of 98.75%, and the best result when applying ADASYN oversampling is on a dataset with 13% IR and a balanced accuracy of 99.03%.
Pengaruh motivasi berprestasi dan budaya organisasi terhadap kinerja karyawan
Authors: Purba Daniel Wisuda , Purba Ruliando Hasea , Septiani Sisca , Chaerudin Chaerudin , Budiyanto Hendro , Ilahiyah Marhamah
Published: July 2023

Penelitian ini dilatarbelakangi oleh suatu pemikiran bahwa motivasi berprestasi dan budaya organisasi dalam suatu organisasi perusahaan mempengaruhi kinerja karyawan bagi sumber daya manusia (SDM) yang dimiliki oleh perusahaan tersebut. Tujuan yang ingin dicapai dalam penelitian ini adalah untuk mengetahui dan menganalisis pengaruh motivasi berprestasi dan budaya organisasi terhadap kinerja karyawan PT. Dekoramik Perdana cabang Muara Karang Jakarta Utara. Teknik pengambilan sampel pada penelitian ini menggunakan sampel jenuh, yaitu semua populasi dijadikan sebagai sampel sebanyak 50 responden. Metode penelitian kuantitatif survei dengan menggunakan teknik analisis regresi linear berganda. Analisis data pada penelitian ini menggunakan SPSS 26. Koefisien determinasi sebesar 78% artinya dalam penelitian motivasi berprestasi dan budaya organisasi berpengaruh 78% terhadap kinerja karyawan dan sisanya sebesar (100% - 78% = 22%) dipengaruhi oleh faktor lain yang tidak dijelaskan dalam penelitian ini. Hasil uji t menunjukkan bahwa Motivasi Berprestasi mempunyai nilai signifikansi 0,022 < 0,05, yang artinya H0 ditolak dan Ha diterima yang berarti Motivasi Berprestasi berpengaruh terhadap Kinerja Karyawan. Budaya Organisasi mempunyai nilai signifikansi 0,000 < 0,05, yang artinya H0 ditolak dan Ha diterima yang berarti Budaya Organisasi berpengaruh terhadap Kinerja Karyawan.Hasil penelitian menunjukkan bahwa motivasi berprestasi dan budaya organisasi berpengaruh signifikan terhadap kinerja karyawan. Terkait dengan motivasi berprestasi, pihak perusahaan disarankan untuk menumbuhkan dan menjaga motivasi karyawan tetap tinggi. Hal itu dapat dilakukan dengan cara memberikan reward bagi karyawan yang berprestasi. Reward dapat berupa peningkatan gaji, bonus atau promosi jabatan. Dengan demikian karyawan termotivasi untuk bekerja dengan lebih baik guna meningkatkan kinerjanya untuk mendapatkan hasil atau prestasi yang tinggi. Selanjutnya yang terkait dengan budaya organisasi, pihak perusahaan disarankan untuk melibatkan karyawan dalam pembentukan kebijakan dan peraturan perusahaan. Pengenalan tentang visi dan misi serta kebijakan perusahaan juga perlu dilakukan kepada setiap karyawan secara menyeluruh. Pihak perusahaan juga perlu menindak tegas serta memberlakukan sanksi bagi karyawan yang melakukan pelanggaran sehingga timbul efek jera. Dengan demikian budaya organisasi yang baik dapat tercipta
Basic Characteristics of Educators in Educing Children According to Islam
Authors:   UIN Prof. K.H. Saifuddin Zuhri Purwokerto Indonesia., Maskuroh Linatul , Siswadi Siswadi ,   UIN Prof. K.H. Saifuddin Zuhri Purwokerto Indonesia.
Published: July 2023

The basic idea of this writing is from Abdullah Nasih Ulwan's view of "Basic Characteristics of Educators in Educating Children According to Islam." Abdullah Nasih Ulwan's views are based on the basic principles of education in Islam. The purpose of this writing is to find out the basic characteristics that must be possessed by educators in educating their students. Education is the main factor for social change. To form noble character, education is needed as a foundation in life so that it is directed in achieving life goals. An important factor that is very concerned about in Islam is the education of children, because the progress of a nation depends on how the nation educates its students. The basic qualities that must be possessed by the first educators are sincerity, piety, knowledge, patience, and a sense of responsibility. The greater the efforts of an educator in carrying out his responsibilities, the greater the fruit of his education.
Linguistic Expression Represents the Male Image in the Medieval Vietnamese Literature from the Perspective of Cognitive Metaphor
Authors:   The University of Danang - University of Foreign Language Studies, No. 131 Luong Nhu Hoc Da Nang city, 550000, Vietnam, Van Anh Nguyen Thi , Ngoan Bui Trong ,   The University of Danang, University of Science and Education, No. 459 Ton Duc Thang, Da Nang city, 550000, Vietnam
Published: July 2023

Based on the medieval Vietnamese literary works from the beginning of the 10th century to the end of the 19th century, the article has examined 494 linguistic expressions about male images, of which 328 expressions belong to the metaphor and 166 expressions belong to the metonymy. Based on that, we obtain the following results: (1) Set up seven source domains and three target domains; (2) determine the conditions for selecting things in the source domain; (3) explain the factors affecting the selection of the source domain; (4) interpreting the network of metaphorical structures; (5) analyze the author's cognitive characteristics expressed in these metaphors. The article reveals the cognitive characteristics of the medieval Vietnamese literary writers in building linguistic expressions about the male, contributing essential documents on the relationship between languages - native culture.
A Comparative Clinical Study on Evaluation of Therapeutic Efficacy of Bilva and Mustak in Grahani Vikara w.s.r to IBS.
Authors: Yadav Vijay
Published: July 2023

Background & objectives: Grahaniis a disease of great clinical relevance in the modern era because of its direct link with the improper food habits and stressful lifestyle. According to modern science this disease can be understood under the context of Irritable bowel Syndrome (IBS) characterized by abdominal pain and altered bowel habits with no particular structural pathology of the gastrointestinal tract. Nowadays world is moving towards the system looking eagerly for newer and safer drugs.So, there was selected a commonest and cost effective drug in the management of Grahani, in the welfare of society. In the present study Apakva Bilvafruit pulpin the form of Choorna(powder) was selected in the reference of classical texts of Charak Samhita. Methods: A trail study was conducted in40 patients fulfilling the criteria of Grahaniand divided into two equal groups: Group A and Group B. Patients in Group A weretreated withApakva Bilvaphalachurna 3gm with Takra(50ml) BID after food along with Pathya Aharaand Vihara.Patients in Group B wereadministered with Mustaka Kanda(Tubes) churna 3gm with Takra(50ml) BID after food along with Pathya Aharaand Vihara.It was used as a control group. The study was carried out for a period of one month. Subjective parameters of Muhur Baddha / Muhur Drava Mala Pravritti, Mala Swaroop: Durgandhita /Picchila Mala, Udgara Pravritti : Madhura / Tikta / Amla, Trishna, Arochaka,Vidahawere taken for study. Results:The trial produced significant result among patients of Group A with Group B in regard to relief in subjective parameters. Outcome of study showed that the drug has vital action in remission of the symptoms. Discussion & Conclusion: Thus, the study showed the effectiveness of Bilva Churna in alleviating symptoms of Grahani. in comparison to that of control drug Mustaka Churna.
Understanding of Nidāna w.s.r. to Nidāna Sthāna of Caraka Saṃhitā- A Conceptual Study.
Authors: Sandeep
Published: July 2023

compendium but on the basis of Dosha, Dushya, Srotas, Agnietc. (Āyurvedictools for diagnosis) we can make out the disease as well as management. As per ancient Āyurvedic scholars there may not be the nomenclatures of all the diseases in transcript but these all can be managed on the basis of Doshika(pathological) concern. Adisease is caused due to specific causative factors followed by the pathogenesis with the manifestation of sign and symptoms and if ignored the complication is the next outcome. Carakahas stated that the diagnosis is very important and essential before proceeding to medicine prescription.Āyurvedicway of diagnosis has two basic components namely ‘Roga Pariksha’ and ‘Rogi Pariksha’, which refers to Examination of disease and Examination of patient respectively. Among themRoga Parikshagives us the detailed knowledge about a disease starting from the etiological aspects to the actual manifestation of disease. All three Brihatrayis mention Nidana Sthana but the explanation of Nidana Panchaka, Nidanarthakara Roga, Utpatti of diseases etc. were first given inCaraka Nidana Sthana. The five basic components ofRoga ParikshaareNidāna, Purvarupa, Rupa, UpashayaandSamprapti, which are collectively known as‘Nidāna Panchaka’. Apart from diagnosing a disease, they also play a key role in planning the treatment of that disease.Ācārya Carakahas stated plenty of concepts while describing the eight chapters of Nidāna sthāna. So, in the present study along with the concept of Nidāna, the Nidāna sthānaof Caraka Saṃhitawere critically analyzed.
Clinical Evaluation of Medavriddhi in Hyperlipidemia and its Management with Lekhaniya Mahakashaya.
Authors: Ray Paul Sumana , Ray Sukalyan
Published: July 2023

Introduction: Dhatus are the structural and functional units of human body. The healthy state of body depends on their equilibrium state whereas disequilibrium in Dhatus leads to pathological conditions and diseases. Medais one of the seven Dhatus of human body which is produced from its precursor Asthi Dhatu. MedaDhatucan be correlated with lipids and lipoproteins. The state of hyperlipidaemia can be correlated with the state of Meda Vriddhi. Aims and Objectives:This study was carried out to clinically evaluate the features of Meda Vriddhiin individuals having hyperlipidaemia as well as to evaluate the efficacy of stipulated poly herbal formulation ‘Lekhaniya Kashayam’ to combat the state of Meda Vriddhiand subsequently hyperlipidaemia. Materials and Methods:35 subjects having hyperlipidaemia have been selected for the study based on inclusion and exclusion criteria and subsequently the features of Meda Vriddhihas been clinically evaluated in those subjects. The stipulated poly herbal preparation ‘Lekhaniya Kashaya’ was administered in a dose of 50 ml as warm decoction, thrice daily for 60 consecutive days. The efficacy of the drug was evaluated after 60 days based on subjective and objective parameters. Result and Discussions:The subjective parameters of Meda Vriddhiare clinically present in maximum number of individuals having hyperlipidaemia. The result also reveals the significant efficacy of the ‘Lekhaniya Ksahaya’ on relevant subjective and objective parameters with a ‘p’ value <0.001 in the majority of subjective and objective parameters. Conclusions:The state of hyperlipidaemia can be compared with the state of Meda Vriddhibased on the presence of Meda Vriddhi Lakshanain subjects having hyperlipidaemia. The therapeutic management with Lekhaniya Kashayacan be equally effective to combat the state of Meda Vriddhias well as hyperlipidaemia.
Ayurvedic Treatment Regime of Ovarian Hemorrhagic Cyst: A Case Report.
Authors: Deepika  , Kumar Arun , Tanwar Suniti
Published: July 2023

Introduction: Women’s life hormones play an important role from menarche to menopause. Abnormality in the ovarian hormones in co-ordination with HPO axis influences her physical, psychological and reproductive health. Abnormal food habits and altered life have influence on secretion of female hormones and there by lead to manifestation of ovarian cyst. Hemorrhagic ovarian cyst is commonly encountered in day-to-day gynaecological practice.Methodology: In this present case study, a 36 years old woman patient consulted to the OPD with the complaint of pain in lower abdomen, Irregular menses and generalized weakness. She had also brought her ultrasonography (USG) and finding suggested a left ovarian haemorrhagic cyst measuring 44mm × 36 mm. She was supposed to be treated with traditional ayurvedic formulations; the case was treated for three months with a combination of different traditional Ayurvedic drugs, with the goal of relieving symptoms and dissolving the ovarian cyst. This patient was treated with traditional Ayurvedic formulations like Sukumar Kashyam, Kanchnar guggulu, Dashmoola kwatha, Yavkshara, Ajmoodadi choorna.Result: Only traditional Ayurvedic medicines were used during the course of the treatment. Follow-up USG showed complete disappearance of cyst and symptoms also subsided to a great extent. Discussion: The present study emphasizes the role of Ayurveda in bringing apositive result in the management of ovarian cyst.
Case Report: Chronic Urticaria Elimination through Ayurvedic Management.
Authors: Anaghashree S
Published: July 2023

A widespread concern in society nowadays isurticaria. Hives, or urticaria, are typically brought on by an allergic reaction. Due to symptoms being comparable, sheetapittais considered to be a related ailmentin ayurveda. The terms sheetaand pittacombine to form the word sheetapitta. The illness develops as a result of pitta dosha'sdominance over the cold. When exposed to cold breeze pittadosha mix with worsened kaphaand vata doshas. These disperse throughout the body and cause rashes to appear on the skin's surface. A 55-year-old female patient has been complaining of reddish, raised, circular rashes all over her body since 5 years.These rashes were gettingworsened after her anti-allergic medications were missed, hence, she had continued the medications regularly from past5 years. Due to which she had increased drowsiness making her disabled to do her day course. This condition was diagnosed as sheetapittaand was furthertreated with shamana aushadisbothinternallyand externally along with strict monitoring of pathya.
Darvyadi Pratisaranagainst Shitada(Gingivitis) –Case Report.
Authors: Sharma Aparna , Sharma Ish
Published: July 2023

Shitada(Gingivitis)is widely detailed in the western Dentistry, as well as in Shalakya Tantrafrom Ayurveda. It can progress to periodontitis, eventually risking tooth and alveolar bone loss. The prevalence of Shitada(Gingivitis)is significantly high, however underreported. Chronicity warrants long term and repetitive medication with anti-inflammatory, and antibiotic agents, paving risks for adverse drug reactions.Pratisarana, the Ayurvedic local management as observed in this single case study offers safe, effective, and economical alternative. This can be extended to the high-risk groups for prevention, and to the patients for management / cure.
Ayurveda management of Ashmari w.s.r. Renal Calculi: A Single Case Study.
Authors: Makwana Dhaval , Panja Asit , Chudasama Hardik , Engineer Priti
Published: July 2023

Introduction: Urolithiasis, the third most prevalent condition affecting the Mutravahasrotas, has a significant recurrence rate and adversely affects the quality of life. The current study aims to investigate the collective impact of Ayurvedic medication, dietary modifications, and lifestyle adjustments on the fragmentation and elimination of calculi. Material& Methods:A 35-year-old male patient presenting with symptoms of abdominal pain, nausea, vomiting, and painful urination was diagnosed with ashmaribased on clinical manifestations and investigative findings. An abdominal ultrasound scan revealed an elongated calculus measuring approximately 9.6 mm in the lower ureter of the right kidney, accompanied by proximal hydroureteronephrosis. The patient was administered the two ChandraprabhaVatialong with TranpanchmoolaKashayam(40 ml) twice daily before meals. Additionally, after a meal, two GokshuradiGuggulutablet crushed with PunarnavashtakaKashayamwere administered twice daily with water for five weeks. Results: The study aims to assess the impact of the prescribed Ayurvedic treatment regimen on the fragmentation and elimination of the calculi. Discussion: The study will contribute to understanding the efficacy of Ayurvedic medication, dietary modifications, and lifestyle adjustments in managing urolithiasis. Conclusion: The collective impact of Ayurvedic medication, dietary modifications, and lifestyle adjustments in the treatment of urolithiasis will be evaluated in this study. The results will shed light on the effectiveness of this integrative approach, potentially improving patient outcomes and quality of life
A Comparative Study of Astanga Hridaya and Astanga Samgraha - A Review Article.
Authors: Sewada Deepak , Sharma Mahendra , Nath Mishra Tribhuwan , Arora Pooja
Published: July 2023

Background: This study is an attempt to compile concept ofmentioned in VagbhattaSamhitai.e. AstangaHridayaand AstangaSamgrahaso that all the knowledge regarding couldbecomes under a platform. On the basis of evidences, it can be concluded that Astanga Samgraha and Astanga Hridaya werewritten by two different authors. Astanga Samgraha is written by Vridha Vagbhatta (500 AD) Astanga Hridaya is written by Laghu Vagbhatta (6thcentury). Both of these Acharya’sactually were related. Due to difference in time period; AstangaSamgrahais more influenced by the Sushruta Samhitawhile AstangaHridayais lineated towards Charaka Samhita. In both the Samhitasdescription of ShariraRachanais found in Astanga Samgrahaand UttarSthana.Material & Methods:The data used in current study was gathered from major Ayurvedic Samhitas,books based on historical background of Ayurveda, indexed –non indexed journals, widely dispersedresearch publications.Conclusion: This study reveals verity behind similarity and differences between Astanga Hridaya&Astanga Samgraha.The Time periods, Authors, language & style and some other subject matters of both the texts.