bluuebunny/crossref_metadata_2025_split huggingface dataset:
MEDIA SOSIAL, NILAI AGAMA DAN SOLIDARITAS SOSIAL MASYARAKAT BIMA DI MASA PANDEMI COVID 19
Authors: Junaidin  
Published: December 2022

Artikel ini merupakan refleksi dari maraknya kasus-kasus pencabulan, pelecehan dan pemerkosaan yang terjadi pada masa pandemi covid 19 di Bima awal tahu 2021. Mirisnya kasus-kasus tersebut justru menimpa anak-anak di bawah umur. Penelitian ini dimaksudkan untuk membangkitkan solidaritas sosial dan respon masyarakat terhadap tindak pidana kriminal tersebut serta upaya pemberantasannya. Adapun sumber data yang peneliti gunakan ialah berita-berita yang didapat dari media online yang ada di Bima. Pengumpulan data dilakukan secara Online pada aplikasi facebook. Penelitian ini kemudian mengungkap faktor-faktor penyebab kekerasan sexual pada anak di Bima dilatarbelakangi dari minimnya pengetahuan tentang ilmu agama. Disamping itu maraknya peredaran konten-konten yang berbau pornografi di Media sosial turut menjadi perhatian. Solidaritas sosial yang timbul di media sosial ditandai dengan 114 emoticon like, 79 emoticon sedih, 4 emoticon marah, 27 komentar dan dishare sebanyak 790 kali. Gerakan sosial yang muncul ini merupakan wujud keperdulian masyarakat Bima di media sosial dalam mencegah dan mengingatkan para pembaca terhadap maraknya kejahatan sexual pada anak. Pelaku dijumpai rata-rata masih berstatus tetangga dan kerabat dari korban.
RASIONALITAS ORANG TUA DALAM MEMILIH SEKOLAH ANAK DI SEKOLAH DASAR ISLAM TERPADU (SDIT)
Authors: Rusadi Millena Apriliani , Fauzi Agus Machfud 
Published: December 2022

Indonesia merupakan negara yang memiliki beragam suku, ras, agama, dan budaya. Salah satu keberagaman tersebut adalah agama. Indonesia mengakui 6 agama diantarannya Islam, Kristen Protestan, Khatolik, Hindu, Buddha, dan Kong Hu Cu. Beberapa agama yang diakui berkaitan dengan pendidikan dasar berbasis agama. Banyak ditemui orang tua yang memilih menyekolahkan anaknya di sekolah formal, tetapi dijumpai pula orang tua yang lebih memilih untuk menyekolahkan anak di Sekolah Dasar Islam Terpadu (SDIT). Tujuan penelitian ini adalah untuk mengetahui rasionalitas orang tua dalam memilih sekolah anak berbasis agama. Teori yang digunakan adalah Tindakan Sosial Max Weber. Adapun metode yang digunakan yaitu metode kualitatif. Hasil menunjukkan bahwa terdapat beberapa alasan yang menjadi pertimbangan orang tua memilih Sekolah Dasar Islam Terpadu (SDIT) untuk anak-anaknya antara lain: rasionalitas instrumental yaitu harapan menjadi anak yang sholeh dan sholehah serta memiliki karakter dan budi pekerti yang baik sesuai dengan ajaran islam, rasionalitas nilai yaitu kurikulum yang diberikan meliputi ilmu-ilmu agama yang tidak diberikan pada sekolah-sekolah umum lainnya seperti fiqh, hadits, aqidah, tarikh islam, bahasa arab, tajwid, dan sebagainya, tindakan afektif yaitu melihat bahwa anak perlu mendapatkan perhatian dan kasih sayang dari sekolah selayaknya yang diberikan oleh orang tua serta keluarga, dan tindakan tradisional yaitu lingkungan yang islami dan mayoritas keluarga menempuh pendidikan di sekolah berbasis agama.
Length-Weight Relationship and the Condition Factor of some Important Estuarine Fish Species from Kakum Estuary of Ghana
Authors: Baidoo Kezia , Asare Noble Kwame , Abobi Seth Mensah 
Published: December 2022

This study assessed the length-weight relationships and the condition factors of nine commercial and abundant fish species namely Liza dumerilli, Mugil curema, Liza falcipinnis, Mugil bananensis, Lutjanus goreensis, Lutjanus fulgens, Sardinella aurita, Caranx hippos, and Eucinostomus melanopterus from the Kakum River Estuary. This study was conducted from November 2016 to April 2017 to provide primary information about the biometrics, the length-weight model parameters, and the state of well-being of fish species inhabiting the Kakum Estuary. Sampling was done monthly using a mini boat of 9 m long with a depth of 1.5 m for both diurnal (06:00, 10:00, 14:00, 18:00, 06:00 h) and nocturnal (22:00, 02:00 h) periods with a medium-mesh cast net of 20 mm stretched. Sampling was done within thirty (30) minutes on all sampling times. The total length of the species from the estuary ranged from 2.2 cm in Liza dumerilli to 29.8 cm in Mugil curema while the total weight ranged from 0.2 g to 251 g in Mugil curema. The slope b values of the species varied from 2.3787 for Liza dumerilli to 3.1009 for Eucinostomus melanopterus. Three species from the Kakum Estuary exhibited negative allometric growth and 6 species were growing isometrically. The mean condition factors of the fish species ranged from 0.82 ± 0.36 (SD) in Sardinella aurita to 1.82 ± 0.23 (SD) in Lutjanus goreensis. The results of the present study provide essential input parameters for further assessment of the species standing stock biomass.
The HBO Effect
Authors: DeFino Dean J. 
Published: December 2022

No advertisers to please, no censors to placate, no commercial interruptions every eleven minutes, demanding cliffhangers to draw viewers back after the commercial breaks: HBO has re-written the rules of television; and the result has been nothing short of a cultural ground shift. The HBO Effect details how the fingerprints of HBO are all over contemporary film and television. Their capability to focus on smaller markets made shows like Sex and the City, The Sopranos, The Wire, and even the more recent Game of Thrones and Girls, trigger shows on basic cable networks to follow suit. HBO pioneered the use of HDTV and the widescreen format, production and distribution deals leading to market presence, and the promotion of greater diversity on TV (discussing issues of class and race).
The HBO Effect examines this rich and unique history for clues to its remarkable impact upon television and popular culture. It's time to take a wide-angle look at HBO as a producer of American culture.
Evaluation of low-level jets in the southern Baltic Sea: a comparison between ship-based lidar observational data and numerical models
Authors: Rubio Hugo , Kühn Martin , Gottschall Julia 
Published: December 2022

Abstract. In contrast to fixed measuring devices, ship-based lidar systems provide highly reliable wind observations within extensive regions. Therefore, this kind of reference dataset provides a great potential for evaluating the performance of mesoscale numerical models in resembling mesoscale flow phenomena such as low-level jets – essential for an optimal development and operation of wind turbines. This paper presents a comparison between numerical output data from two state-of-the-art numerical datasets (ERA5 and NEWA) and the ship-mounted lidar measurements from the NEWA Ferry Lidar Experiment. The comparison was performed along the route covered by the vessel, as well as in specific locations within this route, to better understand the capabilities and limitations of the numerical models to precisely resemble the occurrence and main properties of low-level jets (LLJs) in different locations. The findings of this study show that the non-stationary nature of ship-based lidar measurements allows evaluating the accuracy of the models when retrieving jets' characteristics and occurrence under different temporal and spatial effects. Numerical models underestimate the occurrence of LLJs, and they struggle to accurately describe their main characteristics, with a particularly large underestimation of the falloff. The found results are to be seen in relation to the characteristics of the observations, such as the data availability, the time–position relation of the selected vessel's route, or the profile height limitation, as well as the features of the jets, with a particular relevance of core height and falloff. Additionally, the results illustrate the temporal and spatial shift between the LLJ events detected by the measurements and the models and the potential benefit of considering such deviations when studying LLJs' climatology through numerical modes.
Potentialities of Sustainability Accounting to measure Costs of Dry Gas production and Environmental and Social costs ( Applied study in Al- Basra Gas Co. )
Authors: Hussain Nadhim 
Published: December 2022

The research aims to measure the costs of processing natural gas through the application of sustainability accounting in the Basra Gas Company, because of its role in improving revenues that contribute to the state treasury, reducing the environmental effects resulting from burning it, and preserving it from waste as one of the main resources of the country.
One of the most important results of the study was the possibility of measuring the economic, environmental, and social costs of gas processing, and thus providing information that helps the administration in making its decisions .
التكاليف البيئية والتنمية المستدامة ومقتضيات تضمينها للأنشطة الإنتاجية
Authors: Jameel Amer 
Published: December 2022

in man's life and his use of the environment , countless environmental problems occur. in the present , we witness different environmental challenges that became a threat to generations for different reasons ; some are related to values , traditions , and the like which coincided with the economical development that aim at achieving high rates of growth and development at the expense of the right use of natural resources.
The will to raise the levels of the standards of living related to the exploitation of nature vanishes because of the costs caused by the environmental deterioration which affects health and quality of life.
This led to the non application of the idea of sustainable development which was declared in the past two decades , and which implied identifying the necessary needs to decrease the privation through an economical growth that keeps the environmental system health and a long-term store of natural resources.
Through an induction of world states , it has been noticed that the accomplishment of this development failed. And though economical , social , and cultural growth rates have been fulfilled in advanced states ,this increasing growth has been on the expense of achieving luxury to future generation.
In the less developed states , the problem increases because of the absence of the real will by the advanced states to cooperate , and the relation between them is characterized by domination and exploitation.
From the above mentioned, the current study emerged to shed light on the environmental costs and sustainable development , and the requirements to incorporate them into productive activities. The study discusses the meaning of development , sustainable development , and then the costs caused by environmental deterioration and the requirements to incorporate the developmental activities.
Desempenho de tangerineiras jovens, de maturação precoce, enxertadas em Swingle ou Carrizo no Oeste de Santa Catarina, Brasil
Authors: Brugnara Eduardo Cesar 
Published: December 2022

Resumo – O objetivo deste trabalho foi avaliar o crescimento e a produtividade de tangerineiras jovens de maturação precoce, sobre dois porta-enxertos, no Oeste Catarinense. Os cultivares copa ‘SCS458 Osvino’, ‘Satsuma EEI’, ‘Oronules’, ‘Clemenules’ e ‘Rio’, enxertados no citrangeiro ‘Carrizo’ e no citrumeleiro ‘Swingle’, foram avaliados no município de Águas Frias, Santa Catarina, durante os seis primeiros anos após o plantio, quanto ao crescimento e à produção de frutos. ‘Clemenules’ e ‘Okitsu’ apresentaram maior área de projeção e volume de copa e circunferência do tronco. ‘Oronules’ apresentou menor altura, área de projeção e volume de copa. Os porta-enxertos não afetaram significativamente o crescimento das copas. A massa acumulada de frutos colhidos até o 6o ano foi maior na ‘Rio’, bem como a eficiência produtiva por área e volume de copa. A massa acumulada de frutos e a massa média dos frutos foram menores na ‘Oronules’. As copas enxertadas em ‘Swingle’ apresentam maior produção de frutos por planta e por m² de copa, mas não houve diferença na eficiência por m³. Conclui-se que, ao fim do sexto ano, as plantas de ‘Clemenules’ e ‘Okitsu’ apresentam maiores copas. ‘Rio’ é o cultivar mais produtivo e eficiente. Há maior produção de frutos quando os cinco cultivares copas são enxertados em ‘Swingle’ do que em ‘Carrizo’.
A pereira cv. Williams ou Bartlett
Authors: Faoro Ivan Dagoberto , Pasa Mateus da Silveira , Argenta Luiz Carlos , Oliveira Paulo Ricardo Dias de , Sezerino André Amarildo 
Published: December 2022

Resumo - A pereira cv. Williams, também conhecida como ‘Bartlett’ ou ‘Williams Bon Chrétien’, é descrita nesse artigo quanto a sua origem, adaptação climática, botânica e características agronômicas. Também são apresentados os principais aspectos morfológicos, fisiológicos e de resistência a doenças da planta, uso de porta-enxertos e plantas polinizadoras.
A facial expression recognition method based on Convolutional Neural Network
Authors: Huang Hongbin 
Published: December 2022

This project is the implementation method of a simple static facial expression recognition (FER) project. Under the environment of Python3, the deep learning model is used to compare with the traditional model. Finally, CNN (Convolutional Neural Networks) is actually used to construct the entire system, and model evaluation is carried out on the three FER datasets FER2013, JAFFE and CK+. The project's main functions include "get a picture of a person's face" and "recognize expressions". The principles of the above functions include the following: the establishment of neural network structure, the acquisition of data sets, the model training based on data sets, the use of OpenCV to obtain the face, and the use of the model to recognize the expression. The experimental results reproduce the simple deep learning model to realize FER and verify the different effects of different data sets on the results. Face recognition has been widely used in all aspects of life, but different purposes need different models and data collection methods, and the laboratory collection cost is high, and the amount of data is limited, so this project also discusses the data set selection methods under different purposes.
Preface: 5th International Conference on Chemical Engineering and Advanced Materials (CEAM 2022)
Authors: Thackeray Willie , Li Jie 
Published: December 2022

The 2022 5th International Conference on Chemical Engineering and Advanced Materials (CEAM 2022) was held virtually during September 24-25, 2022 due to the travel restrictions imposed because of the Covid-19 pandemic. This conference aims to provide opportunities for all participants to exchange new innovative ideas and application experiences as well as to provide a platform where possible innovators can think of new ventures, generate contacts and networks for future collaboration.
CEAM 2022 tracks include chemical engineering, biological chemistry, biological pharmacy, food science, chemical materials, nano materials, materials processing engineering and advanced materials applications. This conference brought together leaders from industry and academia to exchange and share their experiences, present research results, explore collaborations and to spark new ideas, with the aim of developing new projects and exploiting new technology in these fields. The conference has received more than 70 papers from all around the world and after a rigorous peer-review process, less than 55 papers were accepted.
On behalf of the conference organizers, we would like to thank the reviewers for their time and effort in reviewing the papers. Their feedbacks to the authors have been excellent and useful to ensure high quality papers for the conference. Our appreciation to all keynote speakers for sharing their thoughts and experiences with respect to various topics. Our sincere thanks also go to all attendees from all around the world for participating in the conference. Last but not least, we would like to thank the organizing committee members for their hard work, cooperation and insights in ensuring the success of this conference.
Scientific Committee of CEAM 2022
Chongqing, China
Preface: 2022 International Conference on Mathematical Modeling and Machine Learning (MMML 2022)
Authors: Clare Genevieve , Wang Shuai 
Published: December 2022

2022 International Conference on Mathematical Modelling and Machine Learning (MMML 2022) was successfully held during 26-27 November, 2022 in Sydney, Australia. The conference intends to invite worldwide famous scientists, experts, scholars, and researchers for academic presentations.
MMML 2022 aims to bring together leading experts and scholars in the fields of mathematical modeling and machine learning to share their experience and research results. It also provides an excellent interdisciplinary platform for researchers, practitioners and educators to showcase the latest innovations, trends and concerns in these fields, as well as practical challenges encountered and adopted solutions.
This conference cordially invites high-quality research contributions to describe original and unpublished results of experimental or theoretical work in mathematical modeling and machine learning for presentation at conferences. Less than 60 articles were selected from more than 90 submissions after peer-review. Authors participated in MMML 2022 with oral presentations and posters, promoting the communication among researchers and experts from institutes and universities.
Organizing Committee of MMML 2022
Sydney, Australia
Preface: 2022 International Conference on Image Processing and Intelligent Information Systems (IPIIS 2022)
Authors: Macaulay Geoffrey , Feng Jin 
Published: December 2022

The 2022 International Conference on Image Processing and Intelligent Information Systems (IPIIS 2022) was successfully held online during October 22-23, 2022 in Zhengzhou, China. In the context of the conference, scholars and experts in the fields of image processing and intelligent information systems, involved both in experimental and theoretical research, were invited from various universities and institutions. The conference focused on the most recent advancements in topics such as 'Wireless Sensor Networks', 'Digital Signal Processing', 'Embedded Systems' and others.
The main goal of IPIIS 2022 was to present the related research work, to promote the cooperation of experts and scholars in these fields, to share the research achievements both on a national and international level. This collection of proceedings compiles oral and paper presentations submitted by the authors and scrutinized by the editorial committee.
Because of restrictions on travel and indoor activities related to COVID-19, we were forced to hold the conference online only. Attendees were notified well in advance that the on-site conference was changed to an online conference, where the timeline and order of the talks were defined. The video conference was held on the original set dates. Due to the large variety of topics and the relatively large number of attendees, the conference was separated into main and parallel sessions. Each plenary speaker gave an oral presentation of 30-40 minutes accompanied by his slides' material, allocated for questions and discussion.
The organizing and editorial committees of IPIIS 2022 hope you can enjoy the reading of this volume. Additionally, we want to thank all authors and participants for providing their valuable contributions for these proceedings, as well as the reviewers for their constructive recommendations and feedback aiding to improve the presented articles.
IPIIS Organizing Committee
Zhengzhou, China
Intrusion Detection System with Supervised Learning Models
Authors: Zheng Jihan 
Published: December 2022

Intrusion Detection Systems (IDSs) can analyze and detect abnormal network activity, which addresses potential attacks based on studying and analyzing past attacks. This paper uses four supervised machine learning methods, which are logistic regression, decision tree, support vector machine, and random forest, to detect these abnormal attacks. The dataset used in this paper is from KDDCUP’99, a publicly available dataset for network-based anomaly detection systems. Certain features and outcomes are first extracted from the dataset. The values in nominal features are converted into dummy variables, and the values in outcome are changed to either normal or attack. Then the training processes are performed with the four algorithms, and the models are tested to get the accuracy scores. According to the results, the logistic regression model has the highest accuracy score of 0.9415, and the other three models all have accuracy scores above 0.90. The accuracy scores of the decision tree, support vector machine, and random forest are 0.9317, 0.9374, and 0.9202, respectively. Our models turn out to be efficient in identifying the network anomaly with provided data.
Preface: 3rd Asia Conference on Geological Research and Environmental Technology (GRET 2022)
Authors: Melville Renata , Yu Lin 
Published: December 2022

The organizing committees are honored to present the proceedings of the 2022 3rd Asia Conference on Geological Research and Environmental Technology (GRET 2022), held in Kamakura City, Japan during 12-13 November, 2022.
GRET 2022 aims to bring together outstanding scholars, researchers, and students to exchange and share their experiences and research results about all aspects of earth science, geological research and environmental technology. We also provide the keynote address and several plenary invited speeches for discuss the most recent innovations, trends, and concerns, practical challenges encountered and the various solutions in these fields.
Considering the prevention and control of COVID-19 and travel restrictions worldwide, the organizing committee adjust the format to online meeting to avoid personnel gatherings. In everyone's efforts, GRET 2022 was successfully held as scheduled. The conference model was divided into two parts, including keynote speeches and online discussion. In the first part, keynote presentations were delivered in 30 minutes for each talk. The second part was held lasted nearly an hour in a communication group for experts and scholars to discuss more about the talks and presentations.
By submitting a paper to GRET 2022, the authors agreed to the review process and understood that papers would undergo a peer-review process. Manuscripts were reviewed by qualified experts in the field selected by the conference committee. The committees invested great efforts in reviewing the papers submitted to the conference and organizing the sessions to enable the participants to gain maximum benefit.
We do believe your great participation will make our conference success and we would appreciate your participation. Hopefully, all participants and other interested readers will benefit or find inspirations from this proceeding.
With our best regards,
Conference Organizing Chair
Kamakura City, Japan
Research on the Technology of Potentials and Optimizing Methods of Old Wells
Authors: Wang Junheng , Liu Panfeng , Wang Yanli , Ren Shiju , Chen Qiong , Xu Jian , Qiang Hua , Zhu Guanghai , Yin Qingguo , Zhang Xiaochun 
Published: December 2022

Chang 22-19 belongs to the banshen 51 fault block of changlu oilfield, which is located 3km north of group 10 of changlu salt field. Production fell to 74% by July 2021. Through the analysis of formation potential, a perforating software is used to optimize reasonable perforating and lifting process parameters to make the well produce efficiently and develop efficiently.