bluuebunny/crossref_metadata_2025 huggingface dataset:
A New Enhanced IGBTQ-based Model for CPU Scheduling
Authors: Al-Khatib Raed M. , Al-Khateeb Asef , Al-Daom Esraa , Al-Dagamseh Ishraq T. , Tawalbeh Ayat , Abualigah Laith
Published: July 2023

CPU scheduling is concerned with how to efficiently exploit processors by executing the largest number of operations in the shortest possible time. The efficiency of CPU scheduling depends on the algorithm used. Round Robin (RR) is one of the most popular algorithms, which is primarily based on determining the period of execution time for the operation. In this work, we develop a new enhancement algorithm for modifying the RR algorithm based on IGBTQ model to solve the CPU scheduling problem. Therefore, the main objective is to improve the Average waiting Time (AWT) and the Average Turnaround Time (ATT). The final results are successful when reached the lowest scores of AWT and ATT measurements. The experiments used two cases of a different number of processes, which obtained better outputs compared to other state-of-the-art models like; the dynamic RR with Control Preemption (DRRCP), Group Based Time Quantum (GBTQ), and IGBTQ algorithm.
Predicting the Probability of Diabetes using Data Mining Techniques
Authors: Wen Yuantao
Published: July 2023

In recent years, diabetes has become a common disease, and the number of people suffering from diabetes is huge, and the prevalence and mortality rate are on the rise. Therefore, the prevention of diabetes is an important task. Data mining will play a significant role in the prevention of diabetes by predicting and analyzing the risk of diabetes in various persons with various features. We chose the Pima Indian diabetes dataset for this study, and based on a supervised learning machine learning algorithm, which is one of the simplest, most commonly used and most effective algorithms in data mining classification techniques, namely the KNN algorithm, we used data mining to make a predictive research analysis of diabetes based on the combination of disease characteristics and to predict the probability of diabetes occurrence.
A Comparison of Machine Learning Algorithms for Music Genre Recognition
Authors: Xu Yundi
Published: July 2023

Music information retrieval includes the classification of music genres as a key component. However, due to the complexity of music composition, existing artificial classification cannot achieve accurate results. In the music genre classification scenario, machine learning can effectively process large and complex data, bringing more accurate and personalized results for music recommendation. This article will start from three articles and use GTZAN as a data set to compare 3 traditional machine learning methods, including SVM, random forest and logistic regression, together with 2 deep learning models, involving convolutional and feedforward neural networks (CNN and FFNN) in music genres. classification accuracy. The results show that the classification accuracy will be affected by multiple factors such as the characteristics of the audio, whether data processing is performed and so on. In addition, the performance of deep learning has not been significantly better than traditional machine learning as expected. At the same time, the accuracy of CNN and FFNN is heavily dependent on whether the audio is processed into a spectrogram.
Effectiveness Validation of LSTM for Stock Prices Prediction on Four Stocks
Authors: Huang Mingxuan
Published: July 2023

Due to the significant volatility and complexity of financial data, stock price prediction is a difficult undertaking. Researchers have also begun using various models to predict stock prices. LSTM (Long short-term memory) are used in this study to predict the stock prices of four companies between 2013 and 2019. The author compares the performance of two loss functions, MSE (Mean squared error) and MAE (Mean absolute error), and evaluate the effectiveness of the proposed approach. The experiments show that LSTM is a promising model for stock price prediction, and the data's long-term dependencies can be captured by it. The predicted stock price curves closely match the real data curves, although there are some limitations in predicting the changes in stock prices. Furthermore, the study demonstrates that the choice of loss function has a significant impact on the prediction results.As a result, it's crucial to choose the loss function carefully depending on the dataset's features. Overall, the research shows that LSTM and other machine learning models have great potential for stock price prediction. Yet it's crucial to remember that the stock market is incredibly volatile and uncertain, and these models should be used as complementary tools to assist human experts in making investment decisions.
Sturdies Advanced in chatbots based on Deep learning
Authors: Zhang Dexiao
Published: July 2023

Chat robots have always been a hot research topic in the field of natural language processing and human-computer interaction, aiming to build models to understand human input and provide logical answers. Early chat robots were mostly based on matching or rules, but due to the lack of manual feature representation capabilities and the complexity of rules, they could not meet practical application requirements. Thanks to the rapid development of deep learning, chat robots based on convolutional neural networks have made breakthroughs in accuracy and speed in recent years. According to the different design ideas of chat robots, the existing work mainly includes two categories: retrieval type chat robots and generation type robots. Focusing on the two main frameworks mentioned above, this article introduces the latest research progress of chat robots in detail, including the basic steps, design ideas, advantages and disadvantages of representative algorithms. We also introduced common chat robot modeling data sets and evaluation indicators. Finally, we discussed the existing problems and future development directions in the field of chat robots.
Performance Comparison of Road Sign Recognition Methods based on Machine Learning
Authors: Liu Xiaohan , Luo Mingdi , Xiong Xuanting
Published: July 2023

Road sign recognition technology refers to the use of computer vision technology to identify, detect and analyze road signs in images, and is one of the research hotspots in the computer vision community and the field of autonomous driving. Most of the early road sign recognition methods rely on manual features, and their recognition accuracy cannot meet the actual application requirements. Thanks to the rapid development of convolutional neural networks, the accuracy and speed of road sign recognition have made breakthroughs in recent years. However, due to the complexity of actual traffic scenes, such as illumination changes, motion blur, partial occlusion, etc., there are significant differences in the application boundaries of different methods. Most of the existing works are devoted to further improving the recognition performance. In this paper, we explore the accuracy of three traditional methods: linear support vector machine, logistic regression and multi-layer perceptron (MLP), and compare them with the current mainstream methods. The study also explores the influence of illumination and definition factors on accuracy. Experimental results show that the accuracy of the three traditional methods is lower than that of CNN. For the accuracy of the three methods, where the MLP had the highest accuracy, followed by logistic regression, and Linear SVM had the lowest accuracy. For the testing sets with different features, the three methods all have the highest accuracy of good illumination and definition, the second accuracy of good definition but poor illumination, and the lowest accuracy of good illumination but poor definition. In terms of accuracy on both training set and three testing set, MLP model has the highest comprehensive accuracy, followed by SVM, and logistic regression has the lowest comprehensive accuracy.
Análise de erros ortográficos de alunos do primeiro ano da alfabetização: uma proposta sociolinguística
Authors: Silva Ana Paula , Martins Daiane Aparecida , Almeida Baronas Joyce Elaine de
Published: July 2023

Este artigo, inserido no âmbito da Sociolinguística Educacional, tem por objetivo descrever e analisar as dificuldades das crianças com relação ao aprendizado da escrita e quais as interferências da oralidade nesse processo encontradas nas produções textuais escritas do gênero ditado de alunos do primeiro ano, do Ensino Fundamental I, da Escola Municipal Moacyr Camargo Martins, da cidade de Londrina. O embasamento teórico deste estudo se ancora nos estudos propostos por Câmara (1957), Bortoni-Ricardo (2004, 2005, 2006, 2008) e Cagliari (2006) acerca da língua falada e da língua escrita, assim como nas categorias de análise propostas por Bortoni-Ricardo (2004, 2005, 2006, 2008). Além dos pressupostos sociolinguísticos, este trabalho também toma por base as fases de alfabetização trazidas por Ferreiro e Teberosky (1984). Por meio da análise, investigaram-se os problemas na escrita infantil, enfocando a interferência da oralidade e o desconhecimento das convenções arbitrárias da ortografia, classificando os erros a partir dessas categorias. Os dados mostram que os estudantes absorvem diversos fenômenos da oralidade, bem como apresentam dificuldade em seguir todas as normas ortográficas vigentes por conta de seu ainda recente contato com elas, resultados estes que vão ao encontro das hipóteses feitas inicialmente.
fatores de textualidade e a construção de sentidos no texto
Authors: Piovesan Ana Valéria , Toldo Cláudia
Published: July 2023

O texto, como um todo organizado de sentido, precisa de alguns fatores de textualidade para que seu sentido e aspectos significativos sejam construídos. Esses fatores – coesão, coerência, aceitabilidade, informatividade, intertextualidade, situacionalidade e intencionalidade – devem ser levados em consideração durante a leitura e produção de textos. Diante disso, esta pesquisa configura-se como descritiva com abordagem qualitativa e possui como objetivo analisar os fatores de textualidade a partir de uma notícia do site Sensacionalista, que promove sátiras a informações de cunho político, salientando como os fatores de textualidade aparecem no texto e de que modo eles contribuem para a construção de sentido. A análise tem como fundamentação teórica os conceitos trabalhados por Beaugrande e Dressler (1997), Ingedore Koch (2014) e Luiz Antônio Marcuschi (2008 e 2012). Com isso, ressalta-se a importância desses elementos na produção de sentido e na organização textual, além de mostrar um caminho de como proceder na aplicação de conceitos teóricos em análises de produção textual. Por isso, a pesquisa apresenta os recursos que devem ser analisados em um texto e que contribuem para a construção do seu sentido.
INFLUENCE OF SERVICE QUALITY ON THE SATIFACTION OF PT.PIM COOPERATIVE MEMBERS
Authors: Sabina Dila , Dwi winata Vina , Azizah Nurul , Amanda Yusra , Anwar Khairil
Published: July 2023

Service quality is a measure of service success which is determined by level service recipient saticfaction. While the level of satisfaction of the recipient of this service will be obtained if a recipient of the service gets the appropriate type of service with what they want and need. While customer satisfaction is the level a person’s feelings after comparing the performance or results, he feels compared with his hopes. This study studies the effect of service quality on satisfaction of members of the PT. PIM syariah employee cooperative. Using the elements of service quality namely RATER (responsiveness, assurance, tangible, empathy, and reliability) from the result of the study has been investigated in the cooperative produces a fairly good level of service to the members of the cooperative, this was disclosed by the staff at the cooperative office on our in- depth interview some time ago.
THE EFFECT OF HARVEST PREMIUMS ON EMPLOYEE PERFORMANCE AND JOB SATISFACTION OF OIL PALM HARVEST EMPLOYESS AT PT. SOCFINDO SEUNAGAN
Authors: Keumala Fadhiela ND  , Putri Vidia Wirma
Published: July 2023

Employee harvest premiums are one approach for oil palm enterprises to boost production. Premiums are believed to strengthen human resources and motivate workers. The purpose of this study is to investigate the impact of harvest premiums on the performance and work satisfaction of harvest personnel at the research location. This study was carried out at PT Socpindo Seunagan in Nagan Raya Regency. The research site was chosen on purpose, and the sampling strategy used in this study was proportional stratified random sampling, with 38 samples drawn from each afdeling. According to the study's findings, the harvest premium has a meaningful impact on performance (work quantity, work quality, and work attendance) and employee job satisfaction at PT Socpindo Seunagan.
ANALYSIS OF THE INFLUENCE OF HARVEST LABOR ON PALM OIL PRODUCTION IN PT. AGRO SYNERGY NUSANTARA–ACEH
Authors: Riyand Hadirijal N  , Aswin Nasution
Published: July 2023

In the oil palm plantation business, harvesting labor is one of the key factors in the company's success in obtaining maximum production. This research was conducted to determine the effect of harvesting labor on oil palm FFB production. The results analyzed by multiple linear regression showed that the variables age, recent education, work experience, land conditions, harvest premiums, foreman attention, and road conditions had a positive effect on the FFB production of harvest labor. However, the variable family dependents and the distance between the house and the garden have a negative effect. Partially only the variables of age and work experience have a significant effect on the FFB production of harvest labor, but simultaneously all variables have a significant effect. Therefore, to increase the company's FFB production, in terms of harvesting workforce, companies need to pay attention to and maintain harvesting labor as an operational factor by increasing worker capacity.
THE ROLE OF YOUTH IN COMBATING SOCIAL INEQUALITY: EMPOWERING THE NEXT GENERATION
Authors: Purna Laxmi Jamatia
Published: July 2023

Social inequality is a pressing issue in India that disproportionately affects young individuals. This analysis explores the impact of social inequality on various domains, including education, employment, housing, health, and social inclusion. It highlights the challenges faced by young people in accessing quality education, securing stable employment, finding affordable housing, maintaining good health, and participating fully in society. However, youth-led organizations and activists have emerged as powerful agents of change in addressing these disparities. Youth-led interventions have focused on bridging the educational gap, promoting equal job opportunities, advocating for affordable housing, improving healthcare access, and championing social justice causes. These initiatives have demonstrated effectiveness in raising awareness, influencing policies, creating support networks, and mobilizing communities. However, challenges such as limited resources and contextual nuances must be considered when transferring successful models to different contexts. The long-term impact of youth empowerment in combating social inequality is significant. Youth involvement fosters leadership skills, active citizenship, and community engagement, creating a ripple effect of social change. Successful models developed in India can serve as valuable examples for other communities, emphasizing the universal nature of social inequality and the collaborative efforts required to address it. Sustained support for youth-led initiatives, recognition of their contributions, and the creation of inclusive environments are crucial for building a more equitable and just society. By harnessing the potential of youth, India can effectively combat social inequality and empower its young population to shape a brighter future for all.
THE INFLUENCE OF TASTE, PRICE AND BRAND IMAGE ON PURCHASE DECISIONS AT THREATENED AYAM RESTAURANTS IN MEDAN
Authors: Rilza Yusifa Wanda  , Nurainun
Published: July 2023

The purpose of the study was to determine the partial and simultaneous effect of taste, price and brand image on purchasing decisions at threatened chicken restaurants in Medan. The associative method is used in this study. 114 respondents were the sample in this study. Questionnaires are used as a collection tool as a data collection tool, and the data analysis technique uses multiple linear regression. The results showed that taste proved to have a positive and significant effect on purchasing decisions. Price is proven to have a positive and significant effect on purchasing decisions. Brand image has a positive and significant effect on purchasing decisions. Simultaneously there is a positive and significant influence of taste, price and brand image on purchasing decisions with a value of Fcount 69.111> Ftable 2.68.
Leadership towards Innovation and Organizations Performance: Encouraging Employees Empowerment
Authors: Fadi Alzoubi  , Ali Alzoubi
Published: July 2023

The study has been critically focusing on the impact of leadership on innovation management and empowerment of employees in different sectors of the UAE. It has been significantly observed that leadership plays a crucial role in the process of empowerment and innovation which has a positive impact towards reducing the turnover rate as well as the enhancing the overall organizational growth by retaining the talent and developing comparative advantage within the target market. To carry out the study quantitative approach followed by a descriptive research design has been undertaken considering 100 participants. The study findings show that leadership has a strong significant relationship with the other variables such as empowerment and innovations in organizations. As a result, leadership plays a crucial role in driving innovation, empowering employees, and enhancing organizational performance. By fostering a culture of innovation, leaders encourage creative thinking and enable organizations to adapt to an ever-changing business landscape. Moreover, by empowering employees, leaders create a motivated and engaged workforce that contributes to improved performance. Organizations that prioritize effective leadership practices are better positioned to achieve sustainable success in today's competitive marketplace.
Promoting Employees Creativity to mitigate Job Stress: Achieving Job Performance
Authors: Ali Alzoubi  , Fadi Alzoubi
Published: July 2023

This study was aimed to systematically examine the employee creativity that can help to reduce job stress and increase job performance. This study incorporated qualitative approach to examine the literature based evidences provide in prior studies, articles, books, journals and academic publications. After reviewing several sources this study concluded organizations can promote employee creativity by providing a supportive and inclusive work environment that values diverse perspectives, encourages open communication, and rewards innovation. Offering employees the necessary resources, such as training programs, collaborative spaces, and time for exploration, further supports their creative endeavors. When employees feel supported and valued for their creative contributions, they are more likely to experience reduced job stress and increased job performance. By mitigating job stress through the promotion of employee creativity, organizations can achieve several benefits. Employees experience improved well-being, reduced burnout, and increased job satisfaction, which contribute to higher levels of engagement and commitment. Additionally, enhanced job performance positively impacts organizational outcomes, such as increased productivity, quality of work, and overall business success.
CRISPR-Cas9 Genomic Editing as an Innovation in the Management of Sickle Cell Disease: A Systematic Review
Authors: Ikwuka Aloysius Obinna , Musa Solomon , Udeh Francis Chigozie , Musa Abdullahi Adobanyi , Chukwuezie Ugo Collins
Published: July 2023

Genomic editing is a group of technologies that scientists have used to alter an organism’s DNA. Of the several genomic editing techniques, Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-associated protein 9 (CRISPR-Cas9) is well known. The CRISPR-Cas9 system is faster, cheaper, more accurate, more efficient than other genomic editing methods, and it is an adaptation from bacteria’s immune mechanism. Sickle cell diseases (SCDs) are a group of monogenic diseases, and despite their high prevalence and chronic debilitating nature, they continue to have few therapeutic options available. The aim of this study is to review existing literature and current clinical trials on CRISPR-Cas9 genomic editing as an innovation in the management of sickle cell disease (SCD), as well as the current state of treatment for SCD. For this systematic review, PubMed, Google Scholar, African Journals Online (AJOL), and Clinicaltrial.gov articles published up to 6th October, 2022 were searched. Searches for current clinical trials using CRISPR-Cas9 as intervention were conducted by using the search terms such as sickle cell disease, genomic editing, genetics, novel treatments, hematopoietic stem cell transplantation, gene therapy, and CRISPR-Ca9. Studies cited include meta-analyses, original research, prospective clinical trials, online abstracts, literature reviews, retrospective studies, case series, and scientific meetings. The primary search obtained 27,678 articles. Following a review of titles and abstracts, a total of 32 publications and 6 ongoing clinical trials were included in this systematic review based on the recent evidence-based management of SCD. CRISPR-Cas9 genomic editing stands out as a novel, innovative technology which has the potential to cure SCD in children and adults with minimal side effects. Six clinical trials are ongoing with a huge potential for scaling up to Phases 3 and 4.
Monitoring Seasonal Compliance of Patients with Obstructive Sleep Apnea Using CPAP Systems via SD Card
Authors: Karagiannis Athanasios , Tzitiridou Maria , Kafkia Theodora , Kourakos Michael
Published: July 2023

Background: Obstructive sleep apnea (OSA) is a common disorder characterized by recurrent upper airway collapse during sleep, leading to neurological and cardiovascular adverse effects. Objective: The present study aimed to explore seasonal compliance with Continuous Positive Airway Pressure (CPAP) therapy among OSA patients in Greece. Methods: Data from 954 OSA patients using CPAP devices were collected during summer and winter months. Factors evaluated included the Apnea-Hypopnea Index (AHI), mask type, mask leaks, and hours of CPAP device usage. Results: The majority of patients were male (78.2%) and aged 60 years or above (58.5%). Most patients had been using CPAP for over 2 years (82.8%), with auto CPAP devices and nasal or pillow masks being most common. Compliance was observed in 57.7% of patients, while 22.1% were non-compliant. A significant number of patients (8.2% and 12%) were compliant only in summer or winter, respectively. Compliance was influenced by duration of CPAP use, BMI up to 25, and the use of nasal/pillow masks. Higher compliance was associated with lower summer severity and both low and severe winter severity. Logistic regression analysis confirmed these findings. Conclusion: The findings suggest that utilizing CPAP device data can provide actionable insights on seasonal compliance among OSA patients. Summer compliance is lower, and the use of nasal/pillow masks and auto CPAP devices is recommended for improved compliance.
Computed tomographic characteristics of normal salivary glands in dogs
Authors: Son Seongin , Lee Sang , Choi Sooyoung , Choi Hojung , Lee Youngwon , Lee Kija
Published: July 2023

Background:
Various salivary gland diseases diagnosed on computed tomography (CT) in dogs have been reported. However, no study described the size and CT attenuation value of normal salivary glands in dogs.
Aim:
This retrospective analytical study aimed to evaluate the size and attenuation value of the mandibular and zygomatic salivary glands on CT in dogs without cervical or head lesion.
Methods:
The maximum cross-sectional area (MCSA) were measured in 96 dogs and attenuation value on non-contrast and postcontrast images were measured in 90 dogs. Dogs were divided into three groups based on body weight: group 1, ≤ 5.0 kg; group 2, 5.1–10.0 kg; and group 3, 10.1–15.0 kg.
Results:
There were significant differences in MCSA for both glands among the three groups. There was no difference in MCSA between the left and right sides in both salivary glands. The MCSA for both salivary glands positively correlated with body weight (P < 0.001). There was a significant difference in MCSA of the zygomatic gland between males and females (P = 0.02), but there was no significant difference in the mandibular gland. There was a significant difference in the attenuation value between the mandibular and zygomatic glands on non-contrast studies (P < 0.001), but there was no significant difference on postcontrast studies.
Conclusion:
This study established the reference for the size and attenuation value of the mandibular and zygomatic glands in dogs and provided background data for future CT evaluation of dogs with salivary gland diseases.
Sentiment analysis on Education transformation during Covid-19 using Arabic tweets in KSA.
Authors: Aslam Nida , Khan Irfan Ullah , AlKhales Taif , AlMakki Reem , AlNajim Shahad , Almarshad Shaden , Saad Rana
Published: July 2023

The emergence of COVID-19 pandemic has changed the whole world. To prevent the spread of the virus, different precautionary measure and policies have been defined, one of them is distance learning. It has led to the educational transformation from physical education to online learning. Similarly, in KSA online education is adopted since March 2020. Inorder to extract the individual perception about the online education in KSA, twitter data was used. Arabic tweets were collected using twitter API. Furthermore, several machine learning models such as Support Vector Machine (SVM), Naïve Bayes (NB), Random Forest (RF), Logistic regression, K-nearest neighbors was used develop an automated sentiment analysis of online education related tweets in KSA. For feature extraction and selection N-gram and Term Frequency–Inverse Document Frequency (TF-IDF) was used. Logistic Regression achieved the highest accuracy of 69.33% for multiclass and Random Forest achieved accuracy of 80.35%. According to the dataset, most of the individuals have negative opinion about the online learning as the number of negative tweets are higher as compared to positive and neutral class
Public Perception of Flood Hazard in Kafanchan, Jama’a Local Government of Kaduna State
Authors: Fada Mallam  , N. L. Binbol
Published: July 2023

Floods are the most common natural disaster and the leading cause of natural disaster fatalities worldwide. Risk of catastrophic losses due to flooding is significant given deforestation and the increasing proximity of large population to coastal areas, river basin and lakeshores. The study examines the causes of flooding, perception and various method of flood adjustment in the study area. Data on the public perception of flood were compiled using structure questionnaires purposive random sampling technique was used to identify households in 4 neighborhoods. Simple descriptive statistics was used to analyze data generated. It is confined that 31%of household fall with the age of 55 and above with education qualification up to tertiary education and on the awareness of flooding, 87% aware of the flood and 98% had experienced flood in the area. It is further reviewed that 34% of households were born in the area while 32 have accommodation problem. On the causes of flooding 82% recognized heavy and continues rainfall as the major causes of flooding. Majority of households (39%) agreed that flooding destroy farms food and cash crops while 24% mentioned that it destroy animals and properties and 64% pointed positive effects as it deposit fertile alluvial floodplain as well as fishing in the area as observed by 32%, construction of embankment to reduce flooding was identified by 39% and improve channel also observed by 20% as methods of adjustment. Expanded monitoring of floods, effective communication with civil authorities and vulnerable population has the potential to reduce loss of life in future flood events.
Saudi Female Student Experiences with Emergency Remote Teaching During the Covid-19 Pandemic
Authors: Winkel Carmen , Strachan Laura , Aamir Siddiqua
Published: July 2023

The world has been reeling from the effects of the Covid-19 pandemic on many levels. Beginning in March 2020, the Kingdom of Saudi Arabia closed its academic doors. Overnight educators and students transitioned to online Emergency Remote Teaching (ERT). This paper will investigate how female students from a private university in the Eastern Province of Saudi Arabia experienced online instruction. Two-hundred and sixty-two students were contacted online to reflect on their experiences with ERT. Using thematic analysis, three categories of student responses emerged from student survey reflections: 1. lack of motivation and focus, 2. comprehension and issues with autonomous learning, and 3. university as a social experience. We concluded that students were experiencing the pandemic and online education as a very stressful and unsettling period. Online classes were perceived as mostly negative learning experiences. Furthermore, students reported psychological, emotional, and social problems caused by lockdowns, social distancing restrictions, and the prolonged period of ERT.
Penentuan Kondisi Optimum Koagulan Poli Alumunium Klorida Metode Jar Test Berdasarkan Penurunan Konsentrasi Total Suspended Solid (TSS) Air Limbah menggunakan Response Surface Method
Authors: Zakaria Ahmad , Fadela Dian Mira , Lestari Endang Sri , Tambunan Jenny Anna Margaretha , Aynuddin Aynuddin , Fachrurrazie Fachrurrazie , Razak Risdha Sagita
Published: July 2023

Air limbah yang berasal dari produksi minyak wangi mengandung beberapa bahan kimia yang mencemari lingkungan. Penambahan koagulan adalah metode pengolahan air limbah untuk menghilangkan material organik dan padatan tersuspensi yang menyebabkan timbulnya kebauan dan kekeruhan. Dengan menggunakan metode jar test, penambahan precipitants non-kuantitatif ke instalasi pengolahan air limbah (IPAL) dapat disesuaikan. Tujuan pengujian adalah menentukan pH dan kondisi optimum koagulan polyalumunium chloride (PAC) dalam pengujian dengan metode jar test berdasarkan pengurangan Total Suspended Solid (TSS) dalam limbah menggunakan metode statistik respon permukaan. Berdasarkan pengujian yang telah dilakukan, koagulan PAC memiliki kondisi optimum pada pH efluen sebesar 7,5 dengan dosis koagulan yang optimum sebesar 142,42 mg/l. Nilai efisiensi berdasarkan hasil pengujian parameter TSS sebesar 53,75%. Pengujian ini menunjukkan bahwa koagulan PAC memiliki efisiensi yang cukup tinggi dalam menurunkan nilai TSS.

Kata kunci: TSS, jar test, koagulan, PAC, respon permukaan
¿Qué eficacia real tiene el accidente en misión como modalidad específica y ampliada de accidente de trabajo? Delimitación restrictiva atendiendo a los requisitos jurisprudenciales para calificar el accidente en misión.
Authors: Monereo Pérez José Luis
Published: July 2023

En el ámbito de un litigio sobre incapacidad temporal (IT) se discute sobre la calificación (profesional o común) que merece la lesión padecida por la persona trabajadora cuando estaba desplazada ("en misión"). Accidente de trabajo "en misión": no lo es la caída mientras la persona se toma una ducha en el hotel de alojamiento a que se acude con ocasión de un desplazamiento ("en misión") para asistir a un evento relacionado directamente con la actividad profesional: un seminario formativo. Para esa calificación se exige la concurrencia de datos o indicios adicionales de riesgo que muestren una conexión más estrecha entre el accidente y el trabajo.

In the context of a litigation on temporary disability (TI), the qualification (occupational or common) of the injury suffered by the worker while he/she was travelling ("on mission") is under discussion. Occupational accident "on mission": a fall while the person is taking a shower in the hotel where he/she is staying during a trip ("on mission") to attend an event directly related to the professional activity: a training seminar, is not an occupational accident. This qualification requires the concurrence of additional data or evidence of risk showing a closer connection between the accident and the work.
UPAYA MENINGKATKAN MENINGKATKAN KEMAMPUAN BERPIKIR KRITIS DENGAN MENGGUNAKAN TEKNIK PROBING
Authors: Andriani Rina
Published: July 2023

Penelitian ini mengkaji upaya meningkatkan kemampuan berpikir kritis dengan menggunakan Teknik Probing pada Mahasiswa Semester II di Program Studi Pendidikan Bahasa, Sastra Indonesia dan Daerah, Universitas Bale Bandung. Metode yang digunakan dalam penelitian adalah kuasi ekperimen One group Pretest-Posttest Design. Pengukuran kemampuan berpikir kritis dilakukan sebelum dan sesudah sampel penelitian diberi perlakuan yaitu dipergunakannya teknik probing  dengan mengajukan pertanyaan-pertanyaan terkait teks wacana Bahaasa Indonesia yang disajikan.  Hasil penelitian ini menunjukan bahwa Teknik Probing sangat efektif untuk meningkatkan kemampuan berpikir kritis siswa.
Reviewer acknowledgements for International Journal of English Linguistics, Vol. 13, No. 4
Authors: Xu Diana
Published: July 2023

Reviewer acknowledgements for International Journal of English Linguistics, Vol. 13, No. 4, 2023. 
De prijsvaststelling van aandelen bij vrijwillige overdracht
Authors: Gulyás J.E.C. , Lokin E.C.H.J.
Published: July 2023

De prijsvaststelling van aandelen bij vrijwillige overdracht. Een statutaire verkenning naar de rol van de deskundige (deel I)

Het artikel bespreekt de rol van deskundigen bij aandelenwaarderingen bij een vrijwillige overdracht in BV’s. Het artikel presenteert een onderzoek naar 518 statuten, die de statutaire invulling en praktische toepassing omtrent waarderingsdeskundigen belichten. Het artikel behandelt vragen omtrent de benoeming van deskundigen, hun aantal en de kostenverdeling. Het artikel vormt deel 1 van een tweeluik over dit onderwerp.
Presenting Water Quality Characteristics of Lake Salda, Turkey
Authors: HANEDAR Asude , TANIK Aysegul
Published: July 2023

Inland water bodies, either flowing or non-flowing all around the world, are under the adverse effect of both the climate change and anthropogenic activities. The water surface areas of lakes and wetlands diminish over time and thus, this global reality brings together the deterioration of water quality especially if such water bodies confront with a variety of human activities exerting pollutants. An example of such a vulnerable ecosystem is the Lake Salda located in the southwestern part of Turkey. This lake has gained the attention of international public due to its similarities with Mars. Over a long period of time, many researches have been conducted in this lake by different disciplines and scientists to better understand its unique features. In this study, water samples from the three selected stations on the lake at three different depths were collected and analyzed on physico-chemical parameters, organic matter content, nutrients, metals and semi metals according to national legislation and Water Framework Directive (WFD) of EU. The results are tabulated and analyzed in detail considering the potential pollution sources arising from the lake’s basin. The pollutants are linked with the experimental measurements, and those parameters that exceeded the Environmental Quality Standards (EQS) are underlined. It is for sure that the lake necessitates utmost care and attention according to the results achieved.
Comparative Thermodynamic Optimization of Organic Rankine Cycle Configurations for Geothermal Power Generation from an Abandoned Oil Well
Authors: OYEKALE Joseph , ADETONA Oluwaseun
Published: July 2023

This study was aimed at quantifying the net electrical power producible from an abandoned oil well in Nigeria using different organic Rankine cycle (ORC) configurations and working fluids. The geological features of a typical Nigerian oil well were employed in the study and a borehole heat exchanger was used for simulating the thermodynamic parameters of the heat source. Specifically, a subcritical ORC without a recuperator (SBC), a subcritical ORC with a recuperator (SBC-R), a supercritical ORC without a recuperator (SPC), and a supercritical ORC with a recuperator (SPC-R) were analyzed, using R115, R236fa, and R1234yf as working fluids. Results showed that between 272 kW and 875 kW of electrical power could be produced from the abandoned oil well using the most basic ORC configuration (SBC). Furthermore, it was obtained that the introduction of a recuperator would increase the ORC net power by about 13% for R236fa, 33% for R1234yf, and 107% for R115. Similarly, a switch from a subcritical ORC to a supercritical ORC configuration would increase net power for all the working fluids. Specifically, an increase in net power was estimated at 3.6% for R236fa, 46% for R1234yf, and 152% for R115 regarding a switch from the SBC to the SPC. Moreover, decreasing the condensation pressure of the ORC plants was observed to improve net power in all cases.
Ampacity Decrease in a Three-phase Power Cable Fed by an Uncontrolled Rectifier and Finding a Lower Limit for the Power Cable Loss
Authors: ÇANTA Hakan , MUTLU Reşat
Published: July 2023

23.06.2023 Accepted: 25.07.2023 DOI: 10.55581/ejeas.1293146 Abstract—Rectifiers are the most common nonlinear loads encountered in electrical power systems. Uncontrolled rectifiers are cheaper than synchronous rectifiers and more common than them because of this but the currents drawn by uncontrolled rectifiers contain harmonics. In addition, the amplitude of these harmonics depends on the value of the load power and the rectifier parameters. A 3-phase cable can be used to connect a three-phase rectifier to a 3-phase power system. In this study, the power losses of a 3-phase cable fed by a synchronous rectifier and an uncontrolled rectifier were compared. The electrical equivalent of a power cable is frequency dependent. The analysis performed in this study was made by making some assumptions about the frequency-dependent resistance of the cable and the rectifier currents. The analysis shows that when an uncontrolled rectifier is fed by a power cable, the cable always has more loss and heats up more for the same amount of RMS current.
Víctimas: debates sobre una condición contemporánea
Authors: Zenobi Diego
Published: July 2023

En nuestra vida cotidiana nos referimos con total naturalidad a las víctimas de las situaciones más diversas (malas prácticas médicas, violencia de género, inundaciones e incendios, contaminación ambiental, violaciones de derechos humanos, hechos de tránsito, linchamientos, etc.). Sin embargo, ser o no ser víctima no es una cuestión tan evidente, sino que se trata de una condición que puede ser debatida, evaluada y en ocasiones, inclusive, rechazada.

Este libro se propone contribuir a la comprensión del proceso de consagración de la condición de víctima en nuestro mundo actual, así como a los debates alrededor de ese fenómeno. La compilación de estos textos traducidos del francés, inéditos en español, aporta a la problematización de cuestiones metodológicas y conceptuales. El resultado es una obra que aborda los trazos de la producción social de las víctimas contemporáneas desde diferentes ejes ordenadores que involucran cuestiones históricas, el papel de los saberes profesionales (por ejemplo, la psicología y el derecho), así como las relaciones entre las situaciones de crisis y las formas de movilización política concomitantes.

Se trata entonces de poner en juego aquellas lecturas en estos escenarios académicos, sociales y políticos regionales. El propósito es expandir nuestra mirada sobre los mundos sociales que habitan las víctimas de hoy y advertir su diversidad, procurando establecer conexiones entre ellos. Este libro se presenta como una contribución al debate vigente en nuestra región alrededor de estos temas.
La salud del planeta en mi consulta
Authors: García Sáez Julián , Royo Vidal Montserrat , Rodríguez Ferré Anna M.
Published: July 2023

La Salud Planetaria se define como la salud humana en el medio donde vivimos. Es un campo que se centra en relacionar los vínculos entre las interrupciones causadas por los seres humanos en los sistemas naturales de la Tierra y los impactos resultantes en la salud pública.

La AP se está transformando en un punto clave para poder actuar sobre una sociedad que será la que, con pequeños cambios a nivel individual, familiar, local, y social, lograría grandes cambios a nivel global. Algunos puntos relevantes pasan por abogar por las políticas de salud encaminadas a reducir el tráfico en las ciudades, así como potenciar la movilidad sostenible a pie, en bicicleta o transporte público, como algunas de las medidas más importantes para la salud de las personas. También existen otras medidas como la promoción de la dieta planetaria y la prescripción de naturaleza, que resultan bastante útiles tanto a nivel individual como grupal.
Habilidades Perceptivas: Mejorando el Aprendizaje Remoto en Estudiantes de 5 años
Authors: Terrazo-Luna Esther Glory , Riveros-Anccasi Daker , Torres-Acevedo Christian Luis , Rojas-Quispe Angel Epifanio , Cencho Pari Abraham , Coronel-Capani Jessica , Yaulilahua-Huacho Russbelt
Published: July 2023

La presente investigación tuvo como objetivo determinar el nivel de relación entre las habilidades perceptivas y el aprendizaje de la matemática de los niños y las niñas de 5 años de una Institución Educativa de Huancavelica, en la educación remota. El diseño empleado fue el correlacional y la muestra lo conformaron 46 estudiantes de 5 años de una institución de educación inicial de Huancavelica. Los instrumentos empleados fueron, la lista de cotejo para cada variable con 30 ítems. Los resultados evidencian que existe relación estadísticamente significativa entre las habilidades perceptivas y el aprendizaje de la matemática en los estudiantes de 5 años de una institución educativa de Huancavelica, en la educación remota. Estos resultados cuantitativos, con un r=0.75, representan una correlación positiva moderada, según el cuadro de índices de correlación de Hernández, Fernández y Baptista (2018)
Legal Certainty of the Implementation of Mass Itsbat Nikah in Minimizing Marriages Without Certifitaces in the Religious Court of Sukabumi City
Authors: Agustina Nadia , Suyaman Prahasti , Alfiany Temmy Fitriah
Published: July 2023

Background. The Tax Court, basically, has been regulated in Law Number 14 Year 2002 on Tax Court. However, there is an issue relating to the ambiguous position of the Tax Court.
Purpose. The purpose of this is to show that the position of the court is not independent, as it plays a role in both judicial and executive functions, which may result in a lack of independence in case decision making. Therefore, this study aims to determine the position of the tax court in the current judicial system in Indonesia.
Method. This research uses normative juridical research method by reviewing secondary data obtained. Based on the results of the research, it was found that the latest Constitutional Court Decision Number 26/PUU-XXI/2023 has determined that the Tax Courts must transfer their organizational, administrative, and financial development responsibilities to the Supreme Court before 31 December 2026.
Results. The consequence of this decision is that the organizational structure of the Tax Court will be directly under the supervision of the Supreme Court and no longer under the Ministry of Finance. Although the Tax Court will be transferred to the Supreme Court, it is important to maintain this situation as the transition requires adjustments in terms of organizational structure, employee status, and career opportunities for tax judges. All of these matters must be studied and solutions found by the Tax Court as the independence of tax judges means a lot to taxpayers seeking justice in their tax disputes.
Conclusion. In addition to independence, the public also expects competent expertise and knowledge from tax judges as enforcers of justice in tax disputes.
Legal Analysis of Cryptocurency Utilization in Indonesia
Authors: Haryanto Wira Agustian Tri , Irayadi Muhammad , Wahyudi Andri
Published: July 2023

Background. Bitcoin is the world's first digital currency that uses the concept of Cryptocurrency, which is a digital asset designed as a medium of exchange using cryptographic techniques to secure transactions and control the administration of its currency units that are likely to continue to grow in the future. Based on Law No. 7 of 2011 on Currency or cryptocurrencies, Bitcoin cannot be considered as legal tender in Indonesia.
Purpose. It is said to be a means of payment because the means of payment in Indonesia is the Rupiah, but based on the Regulation of the Minister of Trade of the Republic of Indonesia Number 99 of 2019, crypto assets are one of the commodities that can be used as the subject of futures contracts traded on futures exchanges.
Method. his research uses a statute approach. In addition, a case approach is also used to find out the ratio decidendi used by the Constitutional Court judges in deciding cases of judicial review of laws related to indigenous peoples.
Results. This type of research is normative juridical research. The nature of research in this research is descriptive analytical. The type of data used in this research is library research. The validity of crypto asset transactions based on Indonesian contract law which refers to the Civil Code is valid because it fulfills the terms of the agreement in article 1320 of the Civil Code and is supported by the principles contained in the Civil Code itself, including the principle of freedom of contract, the principle of consensualism, the principle of pacta sunt servanda, and the principle of good faith. Therefore, crypto asset transactions are also legalized according to Law Number 11 of 2008 concerning Electronic Information and Transactions (UU ITE) because crypto asset transactions are carried out online through the internet network.
Conclusion. The Indonesian government then compiled several rules to accommodate interests as guidelines and clarity for the public regarding the government's recognition of the existence of bitcoin and virtual currencies, namely through the policy of the Minister of Trade of the Republic of Indonesia Number 99 of 2019, and based on the rules of the Bappebti Regulation Number 5 of 2019 concerning Technical Provisions for the Implementation of the Crypto Asset Physical Market on the Futures Exchange.