Potential of fermented rumen content of cow feed on daily egg productivity and quality of yolk color of quail egg (Cortunix cortunix japonica) by Moh. Zaky ‘Ubaidillah, Mohammad Anam Al Arif, Tatik Hernawati, Koesnoto Supranianondo, Emy Koestanti Sabdoningrum, Widya Paramita Lokapirnasari

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Impact of tourist and recreational activities on the indicators of soil-ecological monitoring of the adjacent territory of Lake Teletskoe (Altai Mountains) by Olga A. Elchininova

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Emission of Brominated Pollutants from Waste Printed Circuit Boards during Thermal Treatment: A Review by Jun Wan, Jia Sun, Xiang-Lin Zhao, An-Sheng Le, Peng-Bo Ren, Ming-Xiu Zhan, Xiao-Qing Lin, Tong Chen

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Microscale search-based algorithm based on time-space transfer for automated test case generation by Yinghan Hong, Fangqing Liu, Han Huang, Yi Xiang, Xueming Yan, Guizhen Mai

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Sm-Nd Isotope Data Compilation from Geoscientific Literature Using an Automated Tabular Extraction Method by Zhixin Guo, Tao Wang, Chaoyang Wang, Jianping Zhou, Guanjie Zheng, Xinbing Wang, Chenghu Zhou

“…Scientific Data…”
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Heterogeneous clinical phenotypes of sporadic early-onset Alzheimer’s disease: a neuropsychological data-driven approach by Deepti Putcha, Yuta Katsumi, Alexandra Touroutoglou, Ani Eloyan, Alexander Taurone, Maryanne Thangarajah, Paul Aisen, Jeffrey L. Dage, Tatiana Foroud, Clifford R. Jack, Joel H. Kramer, Kelly N. H. Nudelman, Rema Raman, Prashanthi Vemuri, Alireza Atri, Gregory S. Day, Ranjan Duara, Neill R. Graff-Radford, Ian M. Grant, Lawrence S. Honig, Erik C. B. Johnson, David T. Jones, Joseph C. Masdeu, Mario F. Mendez, Erik Musiek, Chiadi U. Onyike, Meghan Riddle, Emily Rogalski, Stephen Salloway, Sharon Sha, R. Scott Turner, Thomas S. Wingo, David A. Wolk, Kyle Womack, Maria C. Carrillo, Gil D. Rabinovici, Bradford C. Dickerson, Liana G. Apostolova, Dustin B. Hammers, the LEADS Consortium

“…Abstract Background The clinical presentations of early-onset Alzheimer’s disease (EOAD) and late-onset Alzheimer’s disease are distinct, with EOAD having a more aggressive disease course with greater heterogeneity. …”
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Predicting Postoperative Re-Tear of Arthroscopic Rotator Cuff Repair Using Artificial Intelligence on Imbalanced Data by Zhibin Zhang, Zhewei Zhang, Zhaoxiang Peng, Yihong Dong

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Predictive Modeling of Pesticides Reproductive Toxicity in Earthworms Using Interpretable Machine-Learning Techniques on Imbalanced Data by Mihkel Kotli, Geven Piir, Uko Maran

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Differential Diagnosis of Jejunum and Ileum Tumours Based on Video Capsule Endoscopy Data Using Mathematical Analysis by E. D. Fedorov, E. V. Ivanova, S. E. Rauzina, D. E. Seleznev, A. V. Budykina

“…Among them, 8 were found to be statistically significant (affecting the division of objects into groups): patient gender, gut wall/lumen deformation, path of intestinal folds, polypoid changes, vascular pattern, mucosal regularity, mucosal lobulation and colour. …”
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FAIR Photos – Transforming a Collection of Two Million Historical Press Photos into Five Star Data by Leon van Wissen, Nico Vriend, Antoinet Nijssen, Lars Vereecken, Menno den Engelse

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Artificial intelligence (AI) or augmented intelligence? How big data and AI are transforming healthcare: Challenges and opportunities by K Moodley

“… The sanctity of the doctor-patient relationship is deeply embedded in tradition – the Hippocratic oath, medical ethics, professional codes of conduct, and legislation – all of which are being disrupted by big data and ‘artificial’ intelligence (AI). …”
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Implementasi Algoritme Morus V2 untuk Pengamanan Data Pada Perangkat Bluetooth Low Energy by Diah Ratih Destyorini, Ari Kusyanti, Reza Andria Siregar

“…Kriptografi menjadi salah satu pilihan dalam pengaman data. Pada pengembangan diperlukan pertimbangan beberapa aspek seperti, resource yang digunakan, serta waktu untuk proses enkripsi dan dekripsi. …”
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Time trends in mechanical thrombectomy (2017–2021): do real-world data reflect advances in evidence? by Christoph Riegler, Christoph Riegler, Viktoria Rücker, Regina von Rennenberg, Regina von Rennenberg, Kerstin Bollweg, Kerstin Bollweg, Bastian Cheng, Anna C. Alegiani, Fabian Flottmann, Marlena Schnieder, Marielle Ernst, Waltraud Pfeilschifter, Waltraud Pfeilschifter, Waltraud Pfeilschifter, Christoffer Kraemer, Ruben Mühl-Benninghaus, Steffen Tiedt, Steffen Tiedt, Lars Kellert, Hanna Zimmermann, Felix J. Bode, Felix J. Bode, Gabor C. Petzold, Gabor C. Petzold, Franziska Dorn, Jörg Berrouschot, Albrecht Bormann, Kathleen Bernkopf, Silke Wunderlich, Tobias Boeckh-Behrens, Martina Petersen, Lars Udo Krause, Stephan Lowens, Heinrich J. Audebert, Heinrich J. Audebert, Eberhard Siebert, Peter U. Heuschmann, Peter U. Heuschmann, Peter U. Heuschmann, Christian H. Nolte, Christian H. Nolte, Christian H. Nolte, Christian H. Nolte

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Narrowing the gap between machine learning scoring functions and free energy perturbation using augmented data by Ísak Valsson, Matthew T. Warren, Charlotte M. Deane, Aniket Magarkar, Garrett M. Morris, Philip C. Biggin

“…Here, we address these issues by first introducing a novel attention-based graph neural network model called AEV-PLIG (atomic environment vector–protein ligand interaction graph). …”
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INTEGRATING SPIRITUALITY IN DECISION-MAKING PROCESSES: THE “KAIROS EXPERIENCES” IN THE “FAITH-BASED FACILITATION” PROCESS OF THE SALVATION ARMY by S. Knecht

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A multimodal dataset for robotic peg extraction based on Bioin-Tacto sensor modulesMendeley Data by Viral Galayia, Ruslan Masinjila, Soheil Khatibi, Thiago Eustaquio Alves de Oliveira, Xianta Jiang, Vinicius Prado da Fonseca

“…Data in Brief…”
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Postmodernism and the need for story and promise: how Robert Jenson's theology addresses some postmodern challenges to faith by A. H. Verhoef

“…If this is true, it poses great challenges for the Christian faith to be communicated and accepted within this context. …”
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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

“…From the testing data, an accuracy rate only 57.63%. The other side, prediction accuracy of the neural network is 72.58%, so this alternative method is the best chosen. …”
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The Current Status of Atmospheric Micro/Nanoplastics Research: Characterization, Analytical Methods, Fate, and Human Health Risk by Hsin-Chieh Kung, Chien-Hsing Wu, Nicholas Kiprotich Cheruiyot, Justus Kavita Mutuku, Bo-Wun Huang, Guo-Ping Chang-Chien

“…Nonetheless, the research is important in understanding the risk and fate of these contaminants in the total environment. …”
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Three explanatory hypotheses of the correlation between hypertension and cognitive impairment. Current data analysis and future prospects. by Bruno Franco, Guillermo Alfonso, Pablo Martino, Mauricio Cervigni

“…Objetivo: Revisar artículos empíricos concernientes a la correlación entre hipertensión y deterioro cognitivo publicados en base de datos digitales, con el propósito de reunir los conocimientos actuales e identificar posibles caminos para futuras investigaciones. …”
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