bluuebunny/crossref_metadata_2025 huggingface dataset:
Predicting the Compressive Strength of Green Concrete at Various Temperature Ranges Using Different Efficient Soft Computing Techniques
Authors: Mohammed Ahmad Khalil , Hassan Aram , Mohammed Ahmed Salih
Published: June 2023

Abstract:
To overcome the environmental impact of cement production in cocnrete , the construction industry is adopting eco-friendly approaches, such as incorporating alternative and recycled materials, minimizing carbon emissions in concrete production. One such material that has gained prominence is Ground Granulated Blast Furnace Slag (GGBFS),. This study focuses on investigating the compressive strength of concrete at 28 days of age by examining the influences of several factors, such as temperature, water-to-binder ratio (w/b), GGBFS-to-binder ratio (GGBFS/b), fine aggregate, coarse aggregate, and superplasticizer. A statistical modeling approach was employed to comprehensively analyze these parameters and assess their impact on the compressive strength. To accomplish this, the study collected and analyzed data from the literature, resulting in a dataset of 210 observations. The dataset was divided into training and testing groups, and statistical analyses were performed to assess the relationships between the input parameters and compressive strength. The correlation analysis revealed insignificant relationships between the input parameters and compressive strength, indicating that multiple factors affect the strength. Different models, such as linear regression, nonlinear regression, quadratic, full quadratic models, and artificial neural networks (ANN) were employed to predict the compressive strength. The findings of this study contribute to a better understanding of the factors that influence the compressive strength of concrete containing GGBFS. The results underscore the importance of considering multiple parameters to predict strength accurately.
Age-Dependent Molecular and Metabolic Rewiring Leading to Wound-Induced Blackening in Cut Carrots
Authors: Shulz Katie , Machaj Gabriela , Knox Paul , Hancock Robert , Verrall Susan R , Korpinen Risto , Saranpaa Pekka , Happonen Anna , Karpinska Barbara , Foyer Christine Helen
Published: June 2023

The blackening of cut carrots decreases their shelf life and causes severe economic losses but the molecular and metabolic mechanisms that underpin this phenomenon remain poorly characterized. Studies were therefore undertaken to determine the molecular and metabolic causes of the blackening. The susceptibility of blackening was dependent on the period of time that the crop was stored underground prior to harvest. The structure of the cell walls in the black regions was substantially changed compared to the orange regions. The black regions of carrot batons had decreased immunodetection of xyloglucan, HG-pectin, RG-I pectin, galactan and arabinan but had higher levels of lignin and phenolic compounds compared to the orange regions. Transcript profiling analysis revealed that phytohormone signalling processes were activated in the black regions. Transcripts associated with auxin signalling and ethylene-responsive transcription factors were increased in the black regions. In contrast, the levels of transcripts encoding proteins associated with secondary metabolism were decreased in the black regions. These findings implicate ethylene and auxin-related processes in the control of the primary to secondary metabolism shift that results in lignification and cell wall disruption that underpin the blackening process.
Antibody Drug Conjugates: Ushering in a New Era of Cancer Therapy
Authors: Hurwitz Joshua , Haggstrom Lucy Roxana , Lim Elgene
Published: June 2023

Antibody-drug conjugates (ADCs) have provided new therapeutic options and significant promise for patients with cancers, particularly where existing treatments are limited. Substantial effort in ADC development is underway globally, with 13 ADCs currently approved and many more in development [1]. Therapeutic benefits of ADCs leverage the ability to selectively target cancer cells through antibody binding, resultant relative sparing of non-malignant tissues, and the targeted delivery of a cytotoxic payload. Consequently, this drug class has demonstrated activity in multiple malignancies refractory to standard therapeutic options [1-4]. Despite this, limitations exist, including narrow therapeutic windows, unique toxicity profiles, development of therapeutic resistance, and appropriate biomarker selection [5-7]. This review will describe the development of ADCs, their mechanisms of action, pivotal trials, and approved indications and identify common themes. Current challenges and opportunities will be discussed for this drug class in cancer therapeutics at a time when significant developments in antibody therapies, immunotherapy and targeted agents are occurring.
A Retinal Oct-Angiography and Cardiovascular STAtus (RASTA) Dataset on Swept-Source Microvascular Imaging for Cardiovascular Risk Assessment
Authors: Germanèse Clément , Meriaudeau Fabrice , Eid Pétra , Tadayoni Ramin , Ginhac Dominique , Anwer Atif , Laure-Anne Steinberg , Guenancia Charles , Creuzot-Garcher Catherine , Gabrielle Pierre-Henry , Arnould Louis
Published: June 2023

In a context of exponential demographic growth, the imbalance between human resources and public health problems is impelling us to envision other solutions to the difficulties faced in the diagnosis, prevention and large-scale management of the most common diseases. Cardiovascular diseases represent the leading cause of morbidity and mortality worldwide. A large-scale screening program would make it possible to promptly identify patients with high cardiovascular risk in order to manage them adequately. Optical coherence tomography-angiography (OCT-A), as a window into the state of the cardiovascular system, is a rapid, reliable, and reproducible imaging examination that enables prompt identification of at-risk patients through the use of automated classification models. One challenge that limits the development of computer-aided diagnostic programs is the small number of open-source OCT-A acquisitions available. To facilitate the development of such models, we have assembled a set of images of the retinal microvascular system from 499 patients. It consists of 814 angiocubes as well as 2005 en face images. Angiocubes were captured with a swept-source OCT-A device of patients with varying overall cardiovascular risk. To the best of our knowledge, our dataset, RASTA, is the only publicly available dataset comprising such a variety of images from healthy and at-risk patients. This dataset will enable the development of generalizable models for screening of cardiovascular diseases from OCT-A retinal images.
Investigating the Quality-of-Life Level in Children with Bronchial Asthma
Authors: THEOFILOU PARASKEVI , VLASTOS DIMITRIS D.
Published: June 2023

Asthma, like other chronic diseases, affects children prone to transitions of various aspects of their lives. The purpose of this thesis is to investigate the level quality of life of children with bronchial asthma and to what extent the disease affects them their everyday life. The literature search was conducted a review of the articles was done in Greek and English, through electronic databases PubMed, Google Scholar and Scopus. The terms and conditions their combinations used for the search were: “kids”, “children”, "pediatric asthma", "quality of life (QOL)", "health", "adolescents". The search was limited to the last five years (2015 – 2020) and finally 12 were selected articles. The most important areas negatively affected by quality of life of children with asthma are physical activity, their emotional state, school performance and sleep quality when it is connected to other factors. Important role in quality of life of these children has asthma management, disease severity and other environmental factors. Medical and nursing staff need to guide them asthmatic children and their families to have a good everyday life. Having the necessary knowledge needed for the quality-of-life health professionals should include in their medical nursing caring methods of achieving and maintaining a lifestyle that is no different than that of healthy children.
Forecasting PM Levels Using Machine Learning Models in the Arctic: A Comparative Study
Authors: Fazzini Paolo , Montuori Marco , Pasini Antonello , Cuzzucoli Alice , Crotti Ilaria , Campana Emilio Fortunato , Petracchini Francesco , Dobricic Srdjan
Published: June 2023

In this study, we present a statistical forecasting framework and assess its efficacy using a range of established machine learning algorithms for predicting Particulate Matter (PM) concentrations in the Arctic, specifically in Pallas (FI), Reykjavik (IS), and Tromso (NO). Our framework leverages historical ground measures and 24-hour predictions from 9 models provided by the Copernicus Atmosphere Monitoring Service (CAMS) to provide PM predictions for the following 24 hours. Furthermore, we compare the performance of various memory cells based on artificial neural networks (ANN), including recurrent neural networks (RNNs), gated recurrent units (GRUs), long short-term memory networks (LSTMs), echo state networks (ESNs), and windowed multi-layer perceptrons (MLPs), which are commonly employed in time series forecasting tasks. Irrespective of the chosen memory cell type, our results demonstrate that the proposed framework consistently outperforms the CAM models in terms of mean squared error (MSE), with average improvements ranging from 25% to 40%. Additionally, we investigate the impact of outliers on the overall model performance.
A Novel Framework of Public Risk Assessment Using an Inte-Grated Approach Based on AHP and Psychometric Paradigm
Authors: Alrawad Mahmaod , Lutfi Abdalwali , Almaiah Mohammed Amin , Alsyouf Adi , Arafa Hussin Mostafa , Soliman Yasser , Elshaer Ibrahim A.
Published: June 2023

Understanding how the public perceives various risks and hazards associated with our well-being and health is crucial for government and policymakers. The present research aimed to assess the public's perception of various risks and hazards associated with their well-being and health. The study combined two well-known approaches to risk assessment, namely, the analytical hierarchical process (AHP) and the psychometric paradigm. Seven risk attributes were chosen from the risk perception literature to evaluate 27 risks and hazard activities using a survey questionnaire developed based on the psychometric paradigm literature. The collected data was then analyzed using AHP to determine the priority weight for each risk attribute. The results showed that the most important risk attribute was voluntariness of risk, followed by chronic-catastrophic and newness of risk. Furthermore, the study found that natural hazards were ranked the highest, followed by refugee influx and fire hazards. In contrast, the mobile phone was perceived as the lowest type of risk. The findings can be used by policymakers to develop effective and sustainable risk communication strategies. Policymakers can use the research findings to create effective and sustainable risk communication strategies that help the government to inform and educate the public about potential risks, improve coordination among agencies and stakeholders, and enhance public trust in government decision-making.
Embarcações abandonadas na Baía de Guanabara e suas implicações ambientais
Authors: Nascimento Marilia , De Oliveira Santos Ana Dalva , Da Silva de Freitas Alex , Ferreira dos Santos Rejany , Hauser-Davis Rachel Ann , Monteiro da Fonseca Estefan , Baptista Neto José Antônio
Published: June 2023

Embarcações em movimento, naufragadas, abandonadas e à deriva impactam drasticamente desde habitats costeiros aos recursos pesqueiros, turismo e recreação. Recentemente, o navio São Luís, estacionado na Baía de Guanabara, se chocou com a Ponte Rio-Niterói. Este acidente fez emergir a problemática relacionada à poluição marinha proveniente do tráfego hídrico. O objetivo deste estudo consiste em avaliar os riscos de acidentes e a contaminação ambiental oriundos das embarcações abandonadas neste estuário. A metodologia incluiu ampla compilação bibliográfica acerca dos estudos realizados neste importante corpo hídrico, tais como poluição por metais, desreguladores endócrinos, tintas, microplásticos, emissões, água de lastro, lixo, óleo e resíduos de cargas, entre outros. Os resultados apontam riscos significativos para a baía. Neste caso, legislações especificas são uma uma premissa, especialmente com desenvolvimento de estratégias práticas,monitoramento e planejamentos de gestão ambiental para este importante ecossistema.
Palavras-chave: Poluição hídrica; Acidentes marítimos; Riscos ecológicos.
Reflexões sobre bioeconomia
Authors: S. Lima Leonardo da , F. Delgado Jéssica de , Vieira Khauê , Baptista Neto José Antônio , Fonseca Estefan Monteiro da
Published: June 2023

Durante as últimas décadas, a procura global do desenvolvimento aliada às novas tecnologias antagonizam com a fome e a concentração de renda, resultando na insegurança nutricional e na injustiça social. Este quadro reforça o quadro de disseminação de doenças, a violência e consequente destruição da diversidade biológica através do uso desenfreado dos seus recursos naturais.
ENCULTURATION OF SUNDANESE CULTURE IN MANAGER LEADERSHIP TO STRENGTHEN CULTURAL CONTROL
Authors: Aaron Gabriella
Published: June 2023

Kontrol budaya merupakan salah satu jenis SPM untuk membangun budaya organisasi yang berujung pada pengawasan secara alami. Kontrol budaya di dalam sebuah badan organisasi umumnya dibentuk oleh seorang pemimpin yang dimana melalui kepemimipinannya dapat mendorong anggota lain dalam memperkuat kontrol ini. Penelitian eksploratori ini bertujuan untuk menganalisa enkulturasi Budaya Sunda yang dialami oleh manajer badan usaha O cabang Bandung. Penelitian berfokus pada nilai silih asih, silih asuh, dan silih asah pada Budaya Sunda yang dipelajari dan tertanam di dalam diri manajer sejak kecil. Pendekatan kualitatif interpretivisme dilakukan untuk mendalami enkulturasi yang terjadi melalui pola asuh orang tua dan sosialisasi dari lingkungan. Enkulturasi yang berkelanjutan kemudian membentuk kepribadian serta kemampuan manajer sebagai seorang pemimpin. Kepribadian dan kemampuan berlandaskan nilai Sunda pada diri manajer membuatnya dapat mempengaruhi karyawan lain untuk memperkuat kontrol budaya di cabang Bandung. Cabang Bandung menjadi tempat kerja dimana para karyawannya memiliki rasa kekeluargaan dan kepedulian terhadap badan usaha.
Academic Fraud Behavior of Accounting Students in Dimensions of Fraud Hexagon Theory
Authors: Oktarina Dian , Ramadhan Nur Syahrur
Published: June 2023

The purpose of this research is to show the fraud hexagon theory perspective on the occurrence of academic fraud for accounting students. The independent variable in this research is pressure, opportunities, rationalization, capability, arrogance and collusion while the dependent variable is academic fraud. This research uses primary data obtained from online questionnaires. The sample of this research uses accounting students who are registered at the University of Hayam Wuruk Perbanas. This research used multiple linear regression. The results of this study indicate that opportunities, capability and collusion have a positive effect, while the pressure, rationalization and arrogance have no effect on the occurrence of academic fraud
PERAN PELAKSANAAN WFH DALAM MENINGKATKAN KINERJA DI MASA PANDEMI (Studi pada ASN Politeknik Penerbangan Surabaya)
Authors: Afifah Dwi Nur , Ismail Iriani
Published: June 2023

The study about the phenomenon during the pandemic, that there is a change in the work system which the work of employees who are usually done in the office can do their work from home (WFH). It means employees no longer need to come the office and face-to-face meetigs with others. Work activities for employees in government agencies are attendance at the office wearing uniforms, and making it with the working hours that have been determined.The aim was to determine the implementation of WFH in improving the employees performance (ASN) at the Surabaya Flight Polytechnic. This type of research uses qualitative research. This study involved 6 people as research subjects or informants. Representative techniques were used in determining the informants in this study. The results indicate that many employees feel uncomfortable with the implementation of WFH, employees performance becomes less than optimal due to limited facilities at home, while obstacles in implementing WFH regarding network constraints are one of the obstacles to WFH implementation. Keywords: WFH, and Performance.
The Effect of Net Profit Margin (NPM), Return On Equity (ROE) and Earning Per Share (EPS) on Stock Prices in Food and Beverage Sub- Sector Manufacturing Companies Listed on the Indonesia Stock Exchange for the 2016-2021 Period
Authors: Aziz Abdul , Purnamawati Purnamawati
Published: June 2023

This study has an objective to determine the effect of Net Profit Margin, Return On Equity and Earning Per Share either partially or simultaneously on stock prices in food and beverage companies listed on the Indonesia Stock Exchange for the 2016-2021 period. This study is conducted using quantitative method with secondary data obtained from the Indonesia Stock Exchange. The population in this study are 39 food and beverage companies listed on the Indonesia Stock Exchange for the 2016-2021 period. The sample in this study are 11 food and beverage companies that have been determined using a purposive sampling technique. The data analysis technique used is multiple linear regression analysis. Based on the results of data analysis from the t statistical test or partially, the Net Profit Margin (NPM) variable has a positive and significant effect on stock prices with a coefficient value of 8.401 and a significance level of 0.000 0.05, Return On Equity (ROE) has a positive and insignificant effect on stock prices with a coefficient value of 1.275 and a significance level of 0.207 0.05. Earning Per Share (EPS) has a positive and significant effect on stock prices with a coefficient value of 7.876 and a significance level of 0.000 0.05. Meanwhile, simultaneously, the results of data analysis from the f statistical test show the value of Fcount of 54.966 with the obtained probability value is smaller than alpha, which is 0.000 0.05. Thus, it can be concluded that Net Profit Margin, Return On Equity and Earning Per Share simultaneously have a positive and significant effect on company value. Moreover, the coefficient of determination (R2) obtained in this study is 0.727 or 72.7%.
Pengaruh Kombinasi Pakan dan Probiotik yang Berbeda Terhadap Kinerja Pertumbuhan Udang Galah (Macrobrachium rosenbergii) dan Penurunan Limbah N yang Dipelihara Dalam Wadah Terkontrol
Authors: Samadan Gamal Mustik , Muchdar Fatma , Sriwati Sriwati , Findra Muhammad Nur
Published: June 2023

ABSTRAK                                                           Udang Galah (Macrobranchium rosenbergii) merupakan salah satu jenis crustacea, yang mempunyai ukuran terbesar dibandingkan dengan udang air tawar lainnya. Penggunaan probiotik terhadap perbaikan mutu kualitas air kinerja pertumbuhan hewan budidaya sudah lazim digunakan. Namun demikian, pada budidaya udang galah masih sangat terbatas informasinya. Penelitian ini bertujuan mengetahui jenis probiotik yang berpengaruh dalam budidaya udang galah (M. rosenbergii), yang dipelihara dalam wadah terkontrol. Penelitian dilaksanakan selama 60 hari di UPT Laboratorium Terpadu Universitas Khairun, Kota Ternate Provinsi Maluku Utara. Penelitian dirancang dengan rancangan acak lengkap (RAL) yang terdiri dari empat perlakuan dan tiga kali ulangan. Perlakuan yang dicobakan adalah probiotik yang berbeda, yaitu probiotik boster planktop (10 ml), probiotik boster sel multi (10 ml), probiotik boster bio lakto (10 ml), dan tanpa. Hasil analisis menunjukkan pemberian probiotik boster planktop signifikan berpengaruh pada kelangsungan hidup udang galah, sedangkan pertumbuhan mutlak, laju pertumbuhan spesifik dan rasio konversi pakan tidak signifikan. Disamping itu, pemberian probiotik yang berbeda menurunkan konsentrasi amoniak dan nitrit, dan juga mempertahankan kualitas air media pemeliharaan.Kata kunci: Probiotik, pertumbuhan, limbah N, udang galahABSTRACTGiant Shrimp (Macrobranchium rosenbergii) is one type of crustacean, which has the largest size compared to freshwater shrimp. The use of probiotics to improve water quality, growth performance of cultivated animals is commonly used. However, the information on giant prawn cultivation is still very limited. This study aims to determine the types of probiotics that have an effect on the cultivation of giant prawns (M. rosenbergii), which are kept in controlled containers. The research was carried out for 60 days at the UPT Integrated Laboratory of Khairun University, Ternate City, North Maluku Province. The study was designed with a completely randomized design (CRD) consisting of four treatments and three replications. The treatments tested were different probiotics, namely planktop booster probiotics (10 ml), multi cell booster probiotics (10 ml), bio lacto booster probiotics (10 ml), and without. The results of the analysis showed that different probiotics had an effect on the survival of giant prawns, while absolute growth, specific growth rate and feed conversion ratio were not significant. In addition, the administration of different probiotics reduces the concentration of ammonia and nitrite, and also maintains the water quality of the maintenance media.Keywords: Probiotics, growth, waste removal, giant prawns
Transfection Of Difficult-To-Transfect Zebrafish (Danio rerio) ZF4 Cells Using Chemical Transfection and Nucleofection Method
Authors: Putri Rizka Rahmana , Ayisi Christian Larbi
Published: June 2023

ABSTRACTTransfection is a powerful tool for introducing foreign DNA into target cells. Many kits and methods are offered to simplify the process of introducing foreign DNA into cells. ZF4 is a cell type derived from zebrafish that is difficult to transfect. The majority of studies involving transfection into cells require transfection efficiency 70%. Our research demonstrates transfection using 2 kinds of methods, namely chemical transfection using X-tremeGene HP and electroporation-based transfection using a nucleofector device which will later be called Nucleofection. Our results show that transfection using electricity (Nucleofection) provides better transfection efficiency than chemical transfection (X-tremeGene HP).Keywords: maxGFP, nucleofection, transfection, zebrafish (Danio rerio), ZF4 cells
PENGAMBILAN KEPUTUSAN RESELLER FROZEN FOOD SEBAGAI PILIHAN BERWIRAUSAHA DI MASA PANDEMI
Authors: Irawati Rina
Published: June 2023

ABSTRAKSaat ini banyak peluang bisnis yang dapat dilakukan di rumah dengan modal yang minim namun dapat memperoleh laba yang besar, salah satunya usaha reseller frozen food. Penelitian ini dilakukan untuk menguji pengaruh antara lingkungan internal dan eksternal secara parsial terhadap keputusan berwirausaha menjadi reseller frozen food di masa pandemi. Sampel penelitian sejumlah 44 orang dengan simple random sampling menggunakan rumus Slovin. Seluruh item penelitian telah teruji valid dan reliabel, serta sudah memenuhi kriteria uji asumsi klasik. Uji hipotesis membuktikan bahwa lingkungan internal dan eksternal berpengaruh terhadap keputusan berwirausaha sebagai reseller frozen food. Variabel yang dominan berpengaruh adalah faktor internal dengan nilai beta terbesar yaitu 0.784.Kata kunci: Pengambilan Keputusan, Kewirausahaan, Reseller Frozen Food  ABSTRACTCurrently, there are many business opportunities that can be done at home with minimal capital but can earn large profits, one of which is a frozen food reseller business. This study was conducted to partially examine the effect of the internal and external environment on the entrepreneurial decision to become a frozen food reseller during the pandemic. The research sample was 44 people with simple random sampling using the Slovin formula. All research items have been tested to be valid and reliable, and have met the criteria for the classical assumption test. Hypothesis testing proves that the internal and external environment influence the entrepreneurial decision as a frozen food reseller. The dominant variable influencing is the internal factor with the largest beta value of 0.784. Keywords: Decision Making, Entrepreneurship, Frozen food reseller
UJI KELAYAKAN MEDIA PEMBELAJARAN VIDEOSCRIBE BERBASIS ANIMATION DRAWING MENGGUNAKAN MODEL ADDIE PADA MATERI PENCEMARAN LINGKUNGAN
Authors: Aini Kamilatul , Rosidi Irsad , Muharrami Laila Khamsatul , Hidayati Yunin , Wulandari Ana Yuniasti Retno
Published: June 2023

Penelitian ini bertujuan untuk mengembangkan video animasi Videoscribe berbasis animation drawing sebagai media pembelajaran IPA. Pengembangan media Videoscribe berbasis animation drawing ini memfokuskan pada materi pencemaran lingkungan kelas VII SMP/MTs. Desain pengembangan yang digunakan adalah model ADDIE (Analyze, Design, Develop, Implement, dan Evaluate). Subjek penelitian ini sebanyak 19 siswa. Instrumen uji coba yang digunakan adalah lembar validasi ahli media, ahli materi, dan angket respon siswa. Berdasarkan hasil penelitian dapat disimpulkan bahwa: Rata-rata persentase validator 1 dan validator 2 dari validasi ahli media sebesar 93% dengan kriteria sangat valid, dan reliabilitas sebesar 98% dengan kriteria reliabel. Rata-rata persentase validator 1 dan validator 2 dari validasi ahli materi sebesar 95,75% dengan kriteria sangat valid dan reliabilitas sebesar 98% dengan kriteria reliabel, sehingga media Videoscribe berbasis animation drawing layak digunakan oleh siswa dalam pembelajaran pada materi pencemaran lingkungan
PENGEMBANGAN MEDIA TREASURE OF SCIENCE BERBASIS KEARIFAN LOKAL REMBANG DALAM PEMBELAJARAN IPA TERPADU
Authors: Ni'mah Fadlilatun , Wulandari Ana Yuniasti Retno , Tamam Badrud , Putera Dwi Bagus Rendy Astid , Rakhmawan Aditya
Published: June 2023

Penelitian ini bertujuan untuk menganalisis (1) kelayakan media treasure of science berbasis kearifan lokal Rembang dalam pembelajaran IPA terpadu, dan (2) respons siswa terhadap media treasure of science berbasis kearifan lokal Rembang dalam pembelajaran IPA terpadu. Penelitian ini menggunakan model penelitian Borg and Gall yang menggunakan 5 langkah pengembangan, yaitu penelitian dan pengumpulan informasi, perencanaan, pengembangan produk bentuk awal, pengujian lapangan awal, dan revisi produk awal. Teknik pengumpulan data uji coba yang digunakan yaitu teknik wawancara, angket dan dokumentasi sedangkan teknik analisis data yang digunakan yaitu teknik analisis kelayakan media dan analisis hasil respons siswa. Hasil penelitian menunjukkan bahwa media treasure of science berbasis kearifan lokal Rembang dalam pembelajaran IPA terpadu yang dikembangkan dikategorikan sangat layak digunakan (valid) sebagai media pembelajaran untuk siswa SMP/MTs dengan rata-rata penilaian kelayakan materi sebesar 93,33%, kelayakan media sebesar 90,83% dan respons siswa sebesar 87%.Kata Kunci: pengembangan, media, treasure of science, pembelajaran.
ANALISIS HASIL BELAJAR DITINJAU DARI MOTIVASI BELAJAR PADA MATERI PEMANASAN GLOBAL
Authors: Wilhelmina Alin Febrianti , Hadi Wiwin Puspita , Tamam Badrud , Yasir Mochammad , Putera Dwi Bagus Rendy Astid
Published: June 2023

Penelitian ini bertujuan untuk mengetahui hasil belajar, motivasi belajar , dan hasil belajar siswa ditinjau dari motivasi belajar pada materi pemanasan global. Teknik yang digunakan sebagai alat pengumpul data dalam penelitian ini adalah instrument tes digunakan untuk mengukur hasil belajar, angket dalam bentuk skala likert digunakan untuk mengukur motivasi belajar siswa, serta uji korelasi pearson untuk mengetahui hubungan antara hasil belajar dengan motivasi belajar. Dalam penelitian ini sampel yang digunakan sebanyak 125 siswa kelas VII di SMPN 1 Kepohbaru, Bojonegoro. Variabel penelitian terdiri dari dua kategori yaitu variabel bebas (motivasi belajar) dan variabel terikat(hasil belajar). Hasil presentase nilai rata-rata yaitu 72% berada pada kategori baik. Hasil belajar siswa pada kategori sangat baik sebanyak 15 siswa (12%). Pada kategori baik54 siswa (43,2%), pada kategori cukup 42 siswa (33,6%), dan pada kategori14 siswa(11,2%). Hasil presentase rata-rata motivasi belajar yaitu 80,5% berada pada kategori tinggi. Motivasi belajar siswa pada kategori tinggi sebanyak 95 siswa (76%), pada kategori sedang terdapat 30 siswa (24%) dan pada kategori rendah 0 siswa (0%). Berdasarkan analisis data dan hasil penelitian serta pengujian hipotesis yang telah dilakukan, maka disimpulkan terdapat hubungan positif dan signifikan antara hasil belajar dengan motivasi belajar pada siswa kelas VII SMPN 1 Kepohbaru Bojonegoro. Artinya semakin tinggi hasil belajar siswa maka semakin tinggi motivasi belajar. Dengan indeks korelasi sebesar 1,165 dengan t hitung 21,642 dan koefisien determinasi 135,7% artinya motivasi memberikan kontribusi sebesar 135,7% terhadap hasil belajar IPA sedangkan sisanya ditentukan oleh faktor lain.
The Effectiveness of Group Counseling Using a Humanistic Existential Approach in Reducing FOMO Learning in the New Normal Era
Authors: Yadi Heri Febri , Firman Firman , Netrawati Netrawati
Published: June 2023

Indonesia, such as the increasing spending of money by the younger generation and the rise of social media applications, makes the younger generation always want to satisfy their emotional needs, but they don't have enough money so that it becomes social pressure for the younger generation. Anxiety about being left behind makes it difficult for this generation to say no, and this phenomenon is one of the factors why there is Fomo syndrome. This study contains problem solving from FOMO Learning in the New Normal Era, with Humanistic Existence through Group Counseling to increase student learning responsibility, assistance to individuals in group situations that are prevention and healing, and directed at providing convenience in class development and growth. This research is research designed using the library method. The results are in the form of Humanistic Existential counseling emphasizing core human conditions. Normal personality development is based on the uniqueness of each individual.
Efforts to Improve Student Learning Activities Using the Quantum Learning Model Theme of Events in Life Class V SD 101911 Sidodadi Batu 8 Pagar Merbau
Authors: Putri Sartika Eka , Landong Ahmad
Published: June 2023

This study aims to: (1) determine the results of student learning activities before learning by using the Quantum Learning model on the theme of life events in class V SD Negeri 101911 Sidodadi Batu 8 Deli Serdang. (2) knowing the efforts to increase student learning activities using the Quantum Learning model on the theme of events in life in class V SD Negeri 101911 Sidodadi Batu 8 Deli Serdang. Based on the results of observations and tests filled out by students, it can be concluded that teachers have been able to maintain and improve the implementation of teaching and learning activities using the Quantum Learning model and learning video media. This is based on the results of observations which show an increase with the improvement of teaching and learning activities based on observer observations. Student learning activities have also increased, this can be seen from the increase in the average percentage of student learning activities, namely in cycle I 68% to 91% in cycle II. It can be concluded that the percentage of student learning activities using the Quantum Learning model and learning video media in cycle II has increased by 41%. The percentage of implementation of the Quantum Learning model using video reaches 89% in teacher (researcher) activities in carrying out learning in the classroom.
Counselor Readiness and Diagnosis in The Psychhotherapy Counseling Process in Education
Authors: Mustika Humaira , Karneli Yeni , Hariko Rezki
Published: June 2023

Readiness to provide counseling and psychotherapy is indicated by the fulfillment of several requirements. Counseling can only be initiated when people recognize the need for change and are ready to engage in the change process. A psychological diagnosis provides information about the client's current problems or conditions, such as the possible causes of the client's problems, techniques used, and the counselor's predictions about the client's future outcomes or behavior, and also includes the client's strengths. This research method uses a literature review, where a literature review is a written summary of journal articles, documents, and books that explain theories and data that have occurred in the past or are currently developing. The purpose of the results and discussion of this article is to determine the extent of counselor readiness in the diagnostic process in psychotherapeutic counseling.
Challenges in Simulation of Salt Clogging
Authors: Khosravi Maryam , Xu Yao , Mirazimi Seyedamir , Stenby Erling Halfdan , Yan Wei
Published: June 2023

Carbon sequestration in depleted reservoirs or aquifers is highly demanded but still faced with technical challenges in many aspects. Among them, losing well injectivity during the storage process is a major concern. This can be caused by salt deposited in the reservoir, particularly near the injection well, which may sometimes creep into the injection well. Therefore, it is desirable to estimate the amount and distribution of salt precipitation at the injection conditions for a smooth implementation of CO2 sequestration. In this paper, we investigate how much commercial software CMG-GEM can help the evaluation of salt precipitation. We first review the critical mechanisms involved in salt precipitation and then analyze the challenges in simulating these mechanisms.

According to the literature, water saturation and saturation index are the two most influential parameters that control the amount and pattern of salt precipitation and clogging due to water vaporization. Their values are determined by the complex interplay between viscous force, gravity, the evaporation of water into the CO2 stream, the molecular diffusion of dissolved salt in the brine, and surface phenomena such as the spreading of a thin water film on the rock surface, the Marangoni convection, and disjoining suction. Here we investigate the challenges of simulating the aforementioned mechanisms as well as salt precipitation due to the backflow of brine toward the injection well.

The surface-related phenomena are difficult to account for in simulation. However, the extent of the CO2 plume can be significantly underestimated if they are neglected. Although water vaporization, salt diffusion, and capillary pressure can be formally included in the simulation, it is arguable whether they always describe the actual phenomena adequately. In most cases of CO2 injection into an aquifer, water spreads all over the rock surface, which increases the rate of vaporization and surface-related phenomena, such as the Marangoni effect, dramatically. Marangoni turbulent fluxes originating from the unbalanced shear stresses on the interface can accelerate the mixing effect in homogenizing the ions composition, which results in self-enhanced salt precipitation via the thin brine film spreading on the rock surface. We examine different simulation techniques as remedies to mimic those phenomena.
A Robust General Physics-Informed Machine Learning Framework for Energy Recovery Optimization in Geothermal Reservoirs
Authors: Xu Zhen , Yan Bicheng , Gudala Manojkumar , Tariq Zeeshan
Published: June 2023

Energy extraction from the Enhanced Geothermal System (EGS) relies on hydraulic fractures or natural fractures to migrate fluid and thus extract heat from surrounding rocks. However, due to the heterogeneity and complex multi-physics nature inside of fracture plane, high-fidelity physics-based forward simulation can be computationally intensive, creating a barrier for efficient reservoir management. A robust and fast optimization framework for maximizing the thermal recovery from EGS is needed.

We developed a general reservoir management framework which is combining a low-fidelity forward surrogate model (fl) with gradient-based optimizers to speed up reservoir management process. Thermo-hydro-mechanical (THM) EGS simulation model is developed based on the finite element-based reservoir simulation. We parameterized the fracture aperture and well controls and performed the THM simulation to generate 2500 datasets. Further, we trained two different architectures of deep neural network (DNN) with the datasets to predict the dynamics (pressure and temperature), and this ultimately becomes the forward model to calculate the total net energy. Instead of performing optimization workflow with large amount of simulations from fh, we directly optimize the well control parameters based on geological parameters to the fl. As fl is efficient, accurate and fully differentiable, it is coupled with different gradient-based or gradient-free optimization algorithms to maximize the total net energy by finding the optimum decision parameters.

Based on the simulation datasets, we evaluated the impact of fracture aperture on temperature and pressure evolution, and demonstrated that the spatial fracture aperture distribution dominates the thermal front movement. The fracture aperture variation is highly correlated with temperature change in the fracture, which mainly results from thermal stress changes. Compared to the full-fledged physics simulator, our DNN-based forward surrogate model not only provides a computational speedup of around 1500 times, but also brings high predictive accuracy with R2 value 99%. With the aids of the forward model fl, gradient-based optimizers run optimization 10 to 68 times faster than the derivative-free global optimizers. The proposed reservoir management framework shows both efficiency and scalability, which enables each optimization process to be executed in a real-time fashion.
Well Integrity Safety Factor for Tubular Connections in Petroleum, Geothermal, and Carbon Capture Wells
Authors: Goodman Malcolm Arnold
Published: June 2023

Connection sealability is critical for well integrity and carbon control. With current operating practices, there is no way to know that a connection is about to fail and leak before failure actually occurs. API leak equation is uniaxial. Premium connection ratings are biaxial. To measure, monitor, and maintain connection sealability during drilling and production operations, a triaxial Integrity Safety Factor (ISF) for connections is introduced in this paper. Three leak constants evaluated from simple physical tests determine the connection ISFs. Example connection in the paper is 7-inch 35-ppf N80 LTC. Results from FEA leak predictions for 23 load cases, comprising both internal and external leak, show unexpected leak behavior relative to pipe failure.
A Comparative Analysis of Convolutional Neural Networks for Seismic Noise Attenuation
Authors: Fogat Mrigya , Roy Samiran , Ferreira Viviane , Singh Satyan
Published: June 2023

Seismic data is an essential source of information often contaminated with disturbing, coherent and random noise. Seismic random noise has degenerative impacts on subsequent seismic processing and data interpretation. Thus, seismic noise attenuation is a key step in seismic processing. Convolutional Neural Networks (CNNs) have proven successful for various image processing tasks in multidisciplinary fields and this paper aims to study the impact of three CNN architectures (autoencoders, denoising CNNs (DnCNN) and residual dense networks (RDN)) on improving the signal to noise ratio of seismic data. The work consists of three steps: Data preparation, model training and model testing. In this study we have used real seismic data to prepare the training dataset we have manually added noise. Most studies on seismic noise attenuation, study only a single kind of noise. However this paper suggests making our approach by exposing the model to many kinds of noises and noise levels such as Guassian noise, Poisson noise, Salt and Pepper and Speckle noise. In this paper we have analysed the performance of three models. Autoencoders: This architecture consists of two parts, the encoders and the decoders. The encoder consists of convolutions on the input image to extract all key information and map it to a latent space with loss of unnecessary data(noise) while the decoder reconstructs the image from the latent space to a seismic image while high signal to noise ratio. DnCNNs: This architecture is a combination of residual learning and batch normalization and mainly consists of three kinds of blocks. The model is trained to predict the residual image, that is the difference between the noisy observation and the latent clean image. RDNs: This architecture comprises of shallow feature extraction net, residual dense blocks (RDBs), dense feature fusion, and lastly up-sampling net. The data prepared as mentioned above is trained on all three CNN models across different noise levels and the performance of these models was compared.

The model is finally tested on a batch of unseen noisy seismic sections and the performance is measured by an l2 loss namely mean squared error and the improvement in signal to noise ratio.

The resultant images from all three architectures across different noise levels have drastically improved signal to noise ratio and thus the application of CNN as a denoiser for seismic images proves to be successful. It is important to note that when comparing the difference plots(Noisy image minus the denoised image) we found minimal signal leakage. While the application of CNN for image pre-processing has seen great success in other fields, mathematical denoising techniques such as F-K filter, tao-p filter are still used in oil and gas industry particularly in seismic denoising. After thorough review, this paper studies some of the most successful denoising CNN architectures and its success in seismic denoising.
Optimization of Carbon-Geo Storage into Saline Aquifers: A Coupled Hydro-Mechanics-Chemo Process
Authors: Tariq Zeeshan , Gudala Manojkumar , Yan Bicheng , Sun Shuyu , Rui Zhenghua
Published: June 2023

The potential for large-scale storage of carbon dioxide (CO2) through Geological Carbon Sequestration (GCS) in deep geological formations such as saline aquifers and depleted oil and gas reservoirs is significant. Effectively implementing GCS requires evaluating the risk of plume confinement and storage capacity at each site through a thorough assessment. To assess the stability of the caprock after CO2 injection, efficient tools are needed to evaluate the safe duration of CO2 injection. This study used Particle Swarm Optimization (PSO) evolutionary algorithm to optimize the maximum CO2 storage capacity in saline aquifers without risking the integrity of the caprock. A deep learning (DL) model, fully connected neural networks, was trained to predict the safe injection duration. The movement of CO2 was simulated for 170 years following a 30-year injection period into a deep saline aquifer using a physics-based numerical reservoir simulator. The simulation took into consideration uncertainty variables such as petrophysical properties and reservoir physical parameters, as well as operational decisions like injection rate and perforation depth. Sampling the reservoir model with the Latin-Hypercube approach accounted for a range of parameters. Over 720 reservoir simulations were performed to generate training, testing, and validation datasets, and the best DNN model was selected after multiple executions. The three-layer FCNN model with 30 neurons in each layer showed excellent prediction efficiency with a coefficient of determination factor over 0.98 and an average absolute Percentage Error (AAPE) less than 1%. The trained models showed a good match between simulated and predicted results and were 300 times more computationally efficient. PSO was utilized to optimize the operational parameters in the DL models to achieve maximum CO2 storage with minimum damage to the caprock. The results suggest that the DNN-based model can serve as a reliable alternative to numerical simulation for estimating CO2 performance in the subsurface and monitoring storage potential in GCS projects.
A Control Volume Material Balance Approach and Its Applications to Real-Time Flow Diagnostics
Authors: Zhang Nan , Andersen Pål Østebø , Rong Chunming
Published: June 2023

In this paper, we propose a Control Volume Material Balance (CVMB) approach for proxy reservoir simulation and apply it to real-time flow diagnostics. Instead of utilizing a comprehensive reservoir simulator, it estimates the saturations distributions by mapping the mass difference between injected and produced fluids recorded at wells into 3D grid blocks. On this basis, we perform real-time flow diagnostics to evaluate the dynamic heterogeneity of the instantaneous displacement flow field which can be used for making effective and opportune decisions to improve oil recovery.

CVMB solves the pressure and flow fields implicitly, and the transport equations explicitly. It incorporates 3D heterogenous rock properties. The fundamental idea of the CVMB method is to divide the 3D flow field into a series of 1D well-pair Control Volumes (CVs). A well-pair Control Volume is composed of grid blocks in the intersection of the sweep and drainage regions of the injector and producer. The fluid flow in and out of the 1D CV can only occur at the wells, and the in-situ fluid volumes are determined by the well flow rates and the well allocation factors. In each CV, we assume the displacement in the grid blocks is piston-like and follows the 1D order of ascending forward time-of-flight. The fluid saturation distributions are determined by defining the cut-off time-of-flight for the displacement front.

We show how the CVMB method improves the pattern-based mass balance approaches in the following aspects: 1) enables real-time flow diagnostics in terms of the hydrocarbon dynamic Lorenz coefficient without a comprehensive reservoir simulator; 2) enhances the simplicity and extensibility of the pattern-based mass balance approach without mapping between grid blocks and streamlines; 3) reduces the smearing effects in conventional mass balance approach by defining 1D CVs using forward time-of-flight.

The proposed CVMB method utilizes the historical well flow rates as the input to estimate the swept regions and its average saturation with remarkable efficiency and sufficient accuracy for real-time flow diagnostics.