Perancangan Rencana Pemulihan Bencana Menggunakan NIST SP 800-34 Rev 1, NIST SP 800-53 Rev 5 dan SNI 8799 (Studi Kasus: Unit TI XYZ) by Hafizh Ghozie Afiansyah, Septia Ulfa Sunaringtyas, Amiruddin Amiruddin

“…In 2021, there was a failure in the IT Unit XYZ data center, which caused the online lecture and administration process to stop due to an inaccessible online portal and loss of data stored in cloud storage. Based on the regulation requirement, interviews, and questionnaires, a disaster recovery plan was designed using NIST SP 800-34 Rev 1 as a framework for preparing the DRP, NIST SP 800-53 Rev 5 as a preventive control, and SNI 8799 as a reference for data center requirements. …”
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Machine learning prediction of obesity-associated gut microbiota: identifying Bifidobacterium pseudocatenulatum as a potential therapeutic target by Hao Wu, Yuan Li, Yuxuan Jiang, Xinran Li, Shenglan Wang, Changle Zhao, Changle Zhao, Ximiao Yang, Baocheng Chang, Juhong Yang, Juhong Yang, Jianjun Qiao, Jianjun Qiao

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Distinct effects of fine and coarse aerosols on microphysical processes of shallow-precipitation systems in summer over southern China by F. Chen, F. Chen, Y. Yang, L. Yu, Y. Li, W. Liu, Y. Liu, Y. Liu, S. Lolli

“…In contrast, during fine-aerosol-polluted conditions, shallow-precipitation clouds develop a deeper median STH of <span class="inline-formula">∼3.7</span> km with lower surface RR characterized by a low concentration of small raindrops, resulting from increased breakup processes (33.1 %) and reduced collision–coalescence processes (69.6 %). …”
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Piloting creative engagement strategies to explore themes of parenthood with fathers by Iryna Culpin, Iryna Culpin, Catherine Lamont-Robinson, Mark Billington, Matthew James, James Prewett, Gareth Ward, Mireia Bes Garcia, Giovanni Biglino, Giovanni Biglino

“…Two further shorter sessions followed as fathers' key messages emerged, and the final forms of their own creative expressions crystallised.ResultsThe final pieces included a musical composition around sharing vulnerability as a new father, a word cloud to represent gendered language of parenthood, an animated graphic image representing the bond between father and child, a combination of short poetic stanzas highlighting assumptions around fatherhood, an experiential photographic record of a father and a son in the early years, and a cartoon strip around emotional intelligence in parenting.DiscussionArts-based participatory engagement enabled to capture deep-rooted experiences of being a father in modern society, illuminating common cultural and intergenerational perspectives, while also tapping into unique individual experiences. …”
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External particle mixing influences hygroscopicity in a sub-urban area by S. Deshmukh, L. Poulain, B. Wehner, S. Henning, J.-E. Petit, P. Fombelle, P. Fombelle, O. Favez, H. Herrmann, M. Pöhlker, M. Pöhlker

“…<p>Hygroscopicity strongly influences aerosol properties and multiphase chemistry, which is essential in several atmospheric processes. Although CCN (cloud condensation nuclei) properties are commonly measured, sub-saturated hygroscopicity measurements remain rare. …”
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Global Elevation Inversion for Multiband Spaceborne Lidar: Predevelopment of Forest Canopy Height by Haowei Zhang, Wei Gong, Hu He, Yue Ma, Weibiao Chen, Jiqiao Liu, Ge Han, Zhiyu Gao, Wanqi Zhong, Xin Ma

“…Compared to single-band spaceborne lidars such as the global ecosystem dynamics investigation (GEDI) and Ice, Cloud and Land Elevation Satellite-2 (ICESat-2), multiband spaceborne lidars improve the detection of the canopy and ground. …”
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Stretchable plasmonic metasurfaces for deformation monitoring by Li Peiyang, Gao Kaikai, Ma Ruize, Pan Kai, Li Dong, Liu Feng, Li Peng, Gan Xuetao, Zhao Jianlin, Wen Dandan

“…This metasurface can generate different point cloud patterns under varying stretch ratios when illuminated by a laser beam. …”
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Clinical validation and optimization of machine learning models for early prediction of sepsis by Xi Liu, Meiyi Li, Xu Liu, Yuting Luo, Dong Yang, Hui Ouyang, Jiaoling He, Jinyu Xia, Fei Xiao, Fei Xiao, Fei Xiao

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Artificial-Intelligence-Based Investigation on Land Use and Land Cover (LULC) Changes in Response to Population Growth in South Punjab, Pakistan by Tanweer Abbas, Muhammad Shoaib, Raffaele Albano, Muhammad Azhar Inam Baig, Irfan Ali, Hafiz Umar Farid, Muhammad Usman Ali

“…Landsat 7, Landsat 8, and Sentinel-2 satellite imagery within the Google Earth Engine (GEE) cloud platform was utilized to create 2003, 2013, and 2023 LULC maps via supervised classification with a random forest (RF) classifier, which is a subset of artificial intelligence (AI). …”
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Geometrical Distances of Extragalactic Binaries through Spectroastrometry by Yu-Yang Songsheng, Jian-Min Wang, Yuan Cao, XueFei Chen, JianPing Xiong, Zhi-Xiang Zhang, Rong-Gen Cai

“…For a typical eclipsing binary in the Large Magellanic Cloud, the distance uncertainty is approximately 6% under reasonable observational conditions. …”
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Analisis Sentimen untuk Evaluasi Reputasi Merek Motor XYZ Berkaitan dengan Isu Rangka Motor di Twitter Menggunakan Pendekatan Machine Learning by Ferdian Maulana Akbar, Robby Hermansyah, Sofian Lusa, Dana Indra Sensuse, Nadya Safitri, Damayanti Elisabeth

“…Penelitian ini akan memanfaatkan analisis sentimen menggunakan word cloud, analisis tren dan distribusi, dan pembandingan lima algoritma machine learning, yakni Naïve Bayes, Decision Tree, Support Vector Machine, Logistic Regression, dan Random Forest. …”
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Evaluating implementation of a hospital‐based cancer registry to improve childhood cancer care in low‐ and middle‐income countries by Melissa R. Maas, Allison Yang, Michele A. Muir, James B. Collins IV, Courtney Canter, Gevorg Tamamyan, Inam Chitsike, Francine Kouya, Kim Hoa Nguyen, Alia Ahmad, Ana Patricia Alcasabas, Yi‐Jin Gao, Kimberly J. Johnson, Gia Ferrara, Nickhill Bhakta, Benyam Muluneh

“…Jude Global Childhood Cancer Analytics Resource and Epidemiological Surveillance System (SJCARES) is a cloud‐based HBCR network facilitating quality data collection of pediatric cancer. …”
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Novel image registration algorithm for scene-matching navigation by Hongrui YANG, Qiju ZHU, Peixian CAO, Hao GU, Dongdong ZHAO

“…Compared with traditional simultaneous localization and mapping for visual navigation, which requires extensive computation for continuous point cloud mapping, scene matching ensures real-time performance without such demands. …”
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Comparing Deep Learning models for mapping rice cultivation area in Bhutan using high-resolution satellite imagery by Biplov Bhandari, Timothy Mayer

“…Two Deep Learning approaches, point-based (DNN) and patch-based (U-Net), models were used in conjunction with cloud-computing platforms. Four different models per Deep Learning approaches (DNN and U-Net) were trained: (1) Red, Green, Blue, and Near-Infrared (RGBN) channels from Planet, (2) RGBN and Elevation data (RGBNE), (3) RGBN and Sentinel-1 data (RGBNS), and (4) RGBN with Elevation and Sentinel-1 data (RGBNES). …”
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Retrieval and Evaluation of Global Surface Albedo Based on AVHRR GAC Data of the Last 40 Years by Shaopeng Li, Xiongxin Xiao, Christoph Neuhaus, Stefan Wunderle

“…We provide a comprehensive retrieval process of the GAC43 albedo, followed by a comprehensive assessment against in situ measurements and three widely used satellite-based albedo products, the third edition of the CM SAF cLoud, Albedo and surface RAdiation (CLARA-A3), the Copernicus Climate Change Service (C3S) albedo product, and MODIS BRDF/albedo product (MCD43). …”
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Implementation of prehospital point-of-care ultrasound using a novel continuous feedback approach in a UK helicopter emergency medical service by Salman Naeem, Shadman Aziz, Thomas Hirst, Johannes Strobel, Jamin M. Mulvey, Ailidh Lang, Jankee Patel, Alexander Smith, Ka Jun Cheng, Michael Palmer, Jonas Schlautmann, Michael D. Christian, Daniel Nevin

“…Scans were archived in a cloud-based server and reviewed weekly by expert clinicians. …”
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Going, going, gone: Landscape drying reduces wetland function across the American West by J. Patrick Donnelly, Johnnie N. Moore, John S. Kimball, Kelsey Jencso, Mark Petrie, David E. Naugle

“…To improve our understanding of rapid ecosystem change, we reconstructed monthly wetland surface water hydrology in the western U.S. from 1984 to 2023 using cloud computing and ∼ 150,000 satellite images to measure shifts in the timing and duration of inundations. …”
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Global Observations of Geomagnetically Induced Currents Caused by an Extremely Intense Density Pulse During a Coronal Mass Ejection by Terry Z. Liu, Xueling Shi, Michael D. Hartinger, Vassilis Angelopoulos, Craig J. Rodger, Ari Viljanen, Yi Qi, Chen Shi, Hannah Parry, Ian Mann, Darcy Cordell, Hadi Madanian, Daniel H. Mac Manus, Michael Dalzell, Ryan Cui, Ryan MacMullin, Greg Young‐Morris, Christian Noel, Jeffrey Streifling

“…We find embedded within the magnetic cloud of the 23–24 April 2023 coronal mass ejection (CME) storm there was a global scale density pulse lasting for 10–20 min with compression ratio of ∼10. …”
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Spatiotemporal variation in biomass abundance of different algal species in Lake Hulun using machine learning and Sentinel-3 images by Zhaojiang Yan, Chong Fang, Kaishan Song, Xiangyu Wang, Zhidan Wen, Yingxin Shang, Hui Tao, Yunfeng Lyu

“…The models were subsequently applied to all cloud-free OLCI images from Hulun Lake during the ice-free periods from 2016 to 2023, producing spatiotemporal distribution maps of the different phytoplankton biomass abundance. …”
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Spring snowmelt flood disasters in Altay, Northwest China: Spatio-temporal distribution and mechanisms by Dilinuer Tuoliewubieke, Weiyi Mao, Junqiang Yao, Xu Zhang, Shujuan Li, Ping Chen, Liyun Ma, Jing Chen

“…In May, downward motion due to reduced cloud cover, resulting in an increase in net shortwave radiation flux reaching the surface. …”
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