Green synthesis of magnetic type Zeolites 4A as catalyst for the elimination of quinoline yellow by the Fenton process: Optimization and kinetic investigation by Roland Urselin Noumsi Foko, Cyrille Ghislain Fotsop, Donald Raoul Tchuifon Tchuifon, Charles Banenzoué, Anatole Guy Blaise Azebaze

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BenthicNet: A global compilation of seafloor images for deep learning applications by Scott C. Lowe, Benjamin Misiuk, Isaac Xu, Shakhboz Abdulazizov, Amit R. Baroi, Alex C. Bastos, Merlin Best, Vicki Ferrini, Ariell Friedman, Deborah Hart, Ove Hoegh-Guldberg, Daniel Ierodiaconou, Julia Mackin-McLaughlin, Kathryn Markey, Pedro S. Menandro, Jacquomo Monk, Shreya Nemani, John O’Brien, Elizabeth Oh, Luba Y. Reshitnyk, Katleen Robert, Chris M. Roelfsema, Jessica A. Sameoto, Alexandre C. G. Schimel, Jordan A. Thomson, Brittany R. Wilson, Melisa C. Wong, Craig J. Brown, Thomas Trappenberg

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The unseen perils of oral-care products generated micro/nanoplastics on human health by Utsa Saha, Snehasmita Jena, Faizan Zarreen Simnani, Dibyangshee Singh, Anmol Choudhury, Shaikh Sheeran Naser, Sudakshya S. Lenka, Apoorv Kirti, Aditya Nandi, Adrija Sinha, Swadheena Patro, Małgorzata Kujawska, Mrutyunjay Suar, Nagendra Kumar Kaushik, Aishee Ghosh, Suresh K. Verma

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Lactobacillus fermentum B153 from human colostrum modulates intestinal immunity and gut microbiota in obese mice model by Juqing Huang, Xiaohui Cai, Xiaoyan Liu, Gongti Lai, Xuefang Guan, Bingyan Chen, Qi Wang

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Extreme Temperature Events in Kazakhstan and Their Impacts on Public Health and Energy Demand by Parya Broomandi, Alfrendo Satyanaga, Mehdi Bagheri, Mostafa Hadei, David Galán‐Madruga, Ali Mozhdehi Fard, Adib Roshani, Aram Fathian, Amir Nourian, Michael Leuchner, Klaus Reicherter, Mehdi Hamidi, Prashant Kumar, Jong Ryeol Kim

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Klasifikasi Ulasan Palsu Menggunakan Borderline Over Sampling (BOS) dan Support Vector Machine (SVM) (Studi Kasus : Ulasan Tempat Makan) by Aisyah Awalina, Fitra Abdurrachman Bachtiar, Indriati Indriati

“…In this study, BOS algorithm was used to overcome data imbalances, and SVM algorithm for the classification of spam reviews. The stages of the research are preprocessing, then weighting words with TF-IDF and sentiment features using lexicon-based features, followed by the process of balancing the dataset with BOS, and classification process with SVM. …”
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Optimal Bone Preparation for Triple-Tapered Stems: Does the Sagittal Taper Affect Optimal Femoral Sizing? by Jeff Shi, MD, Kevin Salomon, MD, Victor Shen, BS, Andrew Moore, MD, John T. Wilson, MD, Brian Palumbo, MD

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Detecting gene copy number alterations by Oncomine Comprehensive genomic profiling in a comparative study on FFPE tumor samples by Fabio Bozzi, Elena Conca, Marco Silvestri, Gianpaolo Dagrada, Alice Ardore, Donata Penso, Daniele Lorenzini, Chiara Costanza Volpi, Desirè Viola Trupia, Adele Busico, Iolanda Capone, Federica Perrone, Elena Tamborini, Andrea Vingiani, Luca Agnelli, Giancarlo Pruneri

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Management Control System and Financial Performance of Micro Finance Institutions in Central Region Uganda by Arthur, Sunday, Caleb, Tamwesigire, Caroline Masiko, Murezi, George Stanley, Kinyata, Godfrey, Barigye, Keneth, Nuwagira, Moses, Agaba

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Perancangan Knowledge Sharing System Untuk Meningkatkan Kinerja Dosen Di Fakultas Teknik Universitas Bangka Belitung by Elyas Kustiawan, Rodiatul Adawiyah, Eka Sari Wijayanti

“…Knowledge sharing requires a technology to run effectively and efficiently. Purpose of this research is to design a knowledge sharing system (KSS) at the Faculty of Engineering, UBB. …”
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Associations between prior healthcare use, time to diagnosis, and clinical outcomes in inflammatory bowel disease: a nationally representative population-based cohort study by Alex Bottle, Sonia Saxena, Richard C G Pollok, Jonathan Blackwell, Irene Petersen, Hanna Creese, Nishani Jayasooriya, Richard CG Pollok

“…Background Timely diagnosis and treatment of inflammatory bowel disease (IBD) may improve clinical outcomes.Objective Examine associations between time to diagnosis, patterns of prior healthcare use, and clinical outcomes in IBD.Design Using the Clinical Practice Research Datalink we identified incident cases of Crohn’s disease (CD) and ulcerative colitis (UC), diagnosed between January 2003 and May 2016, with a first primary care gastrointestinal consultation during the 3-year period prior to IBD diagnosis. …”
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Pengembangan Automated Image Analysis untuk Menentukan Jumlah Bakteri Tahan Asam (BTA) pada Kasus Tubercolosis by Safri Adam, Puji Astuti, Puspa Amalia, Fadli Sukandiarsyah

“…During the covid19 pandemic, the efficiency of daily diagnostic work including BTA examinations must be increased due to the limited ATLM personnel in the field who are also working to deal with Covid19. So in this research, an automated image analysis application will be proposed that can count the number of bacteria that appear on a microscope. …”
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Teknologi Internet of Things (IoT) Sistem Kelistrikan 3 Phasa dengan Data Real Time Pengukuran Besaran Listrik (Studi Kasus: Pengaruh Covid-19 pada Konsumsi Listrik di Fakultas Tek... by Dikpride Despa, Gigih Forda Nama, Meizano Ardhi Muhammad, Trisya Septiana

“…By analyzing data at Gedung H Department of Electrical Engineering. This research result has shown the COVID-19 pandemic has the effect of decreasing the electricity load close to 90% (Work from Home) and 60% (New Normal) indicated by degression the amount of current and power consumption data. …”
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Rancang Bangun Sistem Konversi Mata Kuliah (Studi Kasus : Prodi Informatika, Fasilkom, UPN "Veteran" Jawa Timur) by Henni Endah Wahanani, Made Hanindia Prami Swari, Fawwaz Ali Akbar

“…Based on this, this research was made to build a course conversion system using a structured approach with the waterfall method. …”
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Komparasi Data Mining Naive Bayes dan Neural Network memprediksi Masa Studi Mahasiswa S1 by Azahari Azahari, Yulindawati Yulindawati, Dewi Rosita, Syamsuddin Mallala

“…The other side, prediction accuracy of the neural network is 72.58%, so this alternative method is the best chosen. The research results show the many weaknesses of the results of prediction of Naive bayes because the level of accuracy of its validity is not high. …”
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Nonlinear Association Between the Liver Fat Content and the Risk of Hyperuricemia in Prediabetic Individuals: Evidence from Cross-Sectional Health Screening Data in China by Liu A, Li X, Zhang X, Chen K, Zou Z, Sun Y, Zhou J, Li Z, Wu X, Lv X, Li H, Guo Z, Li Y

“…Ao Liu,1 Xin Li,2 Xueyi Zhang,1 Keke Chen,3 Zhi Zou,4 Yongbing Sun,1 Jing Zhou,5 Zhonglin Li,4 Xiaoling Wu,6 Xue Lv,5 Hao Li,7 Zhiping Guo,8 Yongli Li5 1Department of Medical Imaging, People’s Hospital of Zhengzhou University, Zhengzhou, 450003, People’s Republic of China; 2Department of Medical Imaging, People’s Hospital of Henan University, Zhengzhou, 450003, People’s Republic of China; 3Department of Medical Imaging, Henan Provincial People’s Hospital, Xinxiang Medical College, Zhengzhou, 450003, People’s Republic of China; 4Department of Medical Imaging, Henan Provincial People’s Hospital, Zhengzhou, 450003, People’s Republic of China; 5Department of Health Management, Henan Provincial Key Laboratory of Chronic Disease Health Management, Henan Provincial People’s Hospital, Zhengzhou, 450003, People’s Republic of China; 6Department of Nuclear Medicine, Henan Provincial People’s Hospital, Zhengzhou, 450003, People’s Republic of China; 7Department of Health Management, Fuwai Central China Cardiovascular Hospital, Zhengzhou, 451464, People’s Republic of China; 8Henan Provincial Key Laboratory of Chronic Disease Health Management, Fuwai Huazhong Cardiovascular Hospital, Zhengzhou, 450003, People’s Republic of ChinaCorrespondence: Yongli Li, Department of Health Management, Henan Provincial Key Laboratory of Chronic Disease Health Management, Henan Provincial People’s Hospital, Zhengzhou, 450003, People’s Republic of China, Email [email protected]: The impact of hepatic lipid accumulation on hyperuricemia presents an intriguing research avenue, particularly in light of existing studies linking obesity with hyperuricemia. …”
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Model Agile Scrum untuk Pengembangan Sistem Pencarian Dokumen Surat Digital Berbasis Konten Terklasifikasi dengan Ontologi by Rifiana Arief, Suryarini Widodo, Ary Bima Kurniawan, Hustinawaty Hustinawaty, Faisal Arkan

“…Archiving is done by uploading scanned letters, classifying letters, and naming mail files/annotations by the operator, searches are not based on content, so it is difficult to find letters that have the desired content, search results also cannot immediately show information of classification criteria of the found mailing documents, so it requires a longer search actually to find the desired document. Research objectives develop a classified content-based mail search system with ontology to improve the quality of electronic correspondence search results more efficiently. …”
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Analisis Loyalitas Pelanggan Berbasis Model Recency, Frequency, dan Monetary (RFM) dan Decision Tree pada PT. Solo by Basri Basri, Windu Gata, Risnandar Risnandar

“…Customer loyalty is often influenced by factors in the number of transaction activities, transaction nominal value, transaction time at the company, and outlet attributes. This research proposes a Recency, Frequency, and Monetary (RFM) model combined with a Decision Tree. …”
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Penerapan Metode Weighted Product untuk Seleksi Kelulusan Santri pada Sistem Informasi Wisuda Taman Pendidikan Al-Quran (TPA) Universitas Darussalam Gontor by Dihin Muriyatmoko, Triana Harmini, Muhamad Nuradi Arrahmantoro

“…Other methods can be applied in further research, including SAW, TOPSIS, AHP, ARAS, etc. …”
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Pembentukan Daftar Stopword Menggunakan Term Based Random Sampling Pada Analisis Sentimen Dengan Metode Naïve Bayes (Studi Kasus: Kuliah Daring Di Masa Pandemi) by Raditya Rinandyaswara, Yuita Arum Sari, Muhammad Tanzil Furqon

“…In Term Based Random Sampling, there are 3 parameters, namely Y for the number of random word retrieval repetitions, X for the lowest number of weights in Y repetitions, and L as the percentage of the number of stopwords you want to use. So this research is aimed at finding the best combination of these 3 parameters and comparing the Term Based Random Sampling stopword with the stopword tuning and without the stopword removal process in the analysis of tweet sentiment regarding online lectures using the Naïve Bayes method. …”
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