Quantitative Prediction of Low-Permeability Sandstone Grain Size Based on Conventional Logging Data by Deep Neural Network-Based BP Algorithm by Hongjun Fan, Xiaoqing Zhao, Zongjun Wang, Zheqing Zhang, Ao Chang

“…Machine learning of median grain size from conventional logging data was systematically carried out through conventional logging sensitivity curve optimization, algorithm modeling, network parameter optimization, median grain size prediction, and validation, and the relative error in its quantitative prediction met application requirements. …”
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Application of Portable Near-Infrared Spectroscopy for Quantitative Prediction of Protein Content in <i>Torreya grandis</i> Kernels Under Different States by Yuqi Gu, Haosheng Zhong, Jianhua Wu, Kaixuan Li, Yu Huang, Huimin Fang, Muhammad Hassan, Lijian Yao, Chao Zhao

“…This study explores the feasibility of using portable near-infrared spectroscopy (NIRS) for the quantitative prediction of protein content in <i>Torreya grandis</i> (<i>T. grandis</i>) kernels by comparing different sample states (with shell, without shell, and granules). …”
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Development and validation of the cleanliness satisfaction scale (ESL-AK) in a sample of adults from the Province of San Román, Perú by Ángel Andrés Eleazar Puerta Quispe, Kevin Yair Pérez Alarcón, Isaac Alex Conde Rodríguez

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Development of a Vaping Machine for the Sampling of THC and CBD Aerosols Generated by Two Portable Dry Herb Cannabis Vaporisers by Laura Carrara, Christian Giroud, Nicolas Concha-Lozano

“…This parameter could be a quantitative input in pharmacokinetic models of administration of volatile compounds using vaporisers and a useful tool for the comparison of vaporisers.…”
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Protein dysregulation during Leishmania infantum infection in anti-TNF immunosuppressed mice revealed through quantitative proteomics analysis of extracellular vesicles by Lorena Bernardo, Lorena Bernardo, Ana Montero-Calle, Jose Carlos Solana, Jose Carlos Solana, Marina Lozano-Rendal, Ana Torres, Ana Torres, Carmen Sánchez, Rodrigo Barderas, Rodrigo Barderas, Javier Moreno, Javier Moreno, Eugenia Carrillo, Eugenia Carrillo

“…This effect of anti-TNF treatment is observed in our immunosuppressed-mouse model of VL. In this model, we compared anti-TNF immunosuppression with no immunosuppression before and after VL treatment with Sb.MethodsSerum-derived extracellular vesicles (EVs) were analyzed through label-free quantitative proteomics to identify proteins involved in both VL severity and the impact of anti-TNF immunosuppression on treatment outcome.ResultsIn total, 223 dysregulated proteins were found in the pre-treatment groups, the majority of which, such as vitronectin, haemopexin or caveolin-1, were downregulated in the anti-TNF samples. …”
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Acceptability, feasibility and appropriateness of integrating HPV self-sampling for cervical cancer screening into voluntary family planning services in Malawi by Patani Mhango, Andrew Kumitawa, Monica Patricia Malata, Jennifer H. Tang, Effie Chipeta, Bianca Kandeya, Medrina Mtende, Princess Kaira, Razak Mussa, Wanangwa Chimwaza, Lameck Chinula, Ireen Magongwa, Jacqueline Mbendera, Eneli Mhango, Eunice Mwandira, Lizzie Msowoya, Jennifer S. Smith, Mitch Matoga, Agatha Bula, Luis Gadama, Victor Mwapasa

“…The coverage of HPV-based CCS is low but may increase with self-sampling of vaginal fluid. We assessed the acceptability, feasibility and appropriateness of two models for integrating HPV self-sampling for CCS into family planning (FP) services in Malawi. …”
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Evaluation and interpretation of DTI-ALPS, a proposed surrogate marker for glymphatic clearance, in a large population-based sample by Siddhartha Satpathi, Robert I. Reid, Scott A. Przybelski, Sheelakumari Raghavan, Petrice M. Cogswell, Nolan K. Meyer, Val J. Lowe, Jeffrey L. Gunter, Ronald C. Petersen, Clifford R. Jack, Jonathan Graff-Radford, Prashanthi Vemuri

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Determination of future gully erosion risk and its spatially quantitative interpretability of driving factors in regional scale using machine learning algorithms by Xin Liu, Dichen Wang, Mingming Guo, Xingyi Zhang, Zhuoxin Chen, Zhaokai Wan, Jielin Liu

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More Cyberbullying, Less Happiness, and More Injustice—Psychological Changes During the Pericyberbullying Period: Quantitative Study Based on Social Media Data by Xingyun Liu, Miao Liu, Xin Kang, Nuo Han, Yuehan Liao, Zhihong Ren

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Quantitative characterization of permeability heterogeneity of tight-sand reservoirs using nano-CT technology: A case study of the Yanchang Formation, Ordos Basin by Junlong Liu, Xiangchun Zhang

“…In this study, a low-permeability sandstone sample and two tight sandstone samples collected from the Ordos Basin were nondestructively tested using high-resolution nano-CT technology to quantitively characterize their microscopic pore throat structures and model them three-dimensionally (in 3D) based on CT threshold differences and gray models. …”
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Quantitative Fit Test of a 3D Printed Frame Fitted Over a Surgical Mask: An Alternative Option to N95 Respirator by Suchada Kongkiatkamon, Norachai Wongkornchaowalit, Valailuck Kiatthanakorn, Somkiat Tonphu, Chaiyos Kunanusont

“…The fit performance was measured by a quantitative fit test (QNFT) device (PortaCount, model 8048, TSI Incorporated, Minnesota, USA) accepted by the Occupational Safety and Health Administration (OSHA). …”
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Application of Near-Infrared Spectroscopy to Quantitatively Determine Relative Content of Puccnia striiformis f. sp. tritici DNA in Wheat Leaves in Incubation Period by Yaqiong Zhao, Yilin Gu, Feng Qin, Xiaolong Li, Zhanhong Ma, Longlian Zhao, Junhui Li, Pei Cheng, Yang Pan, Haiguang Wang

“…Determination models of the relative contents of Pst DNA in the samples were built using quantitative partial least squares (QPLS), support vector regression (SVR), and a method integrated with QPLS and SVR. …”
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Quantifying the chemical composition of weathering products of Hainan basalts with reflectance spectroscopy and its implications for Mars by Xing Wu, JiaCheng Liu, WeiChao Sun, Yang Liu, Joseph Michalski, Wei Tan, XiaoRong Qin, YongLiao Zou

“…The improvement achieved with the second derivative was more pronounced than when using the first derivative. The quantitative model developed in this work has the potential to estimate the contents of similar weathering basalt products, and thus infer the degree of alteration and provide insights into paleoclimatic conditions. …”
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Barriers and Enablers of Health Services Utilisation in Rural Communities of Nkomazi Sub-District in Mpumalanga Province, South Africa: A Quantitative Community Survey by Nonhlanhla Fortunate Metiso, Sheillah Hlamalani Mboweni

“…Objective: This study aimed to identify and describe barriers to and enablers of healthcare service utilisation in a rural village of Mpumalanga province, South Africa. Methods: A quantitative descriptive survey design was conducted with 415 adults who met the inclusion criteria, selected using a systematic sampling technique. …”
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Spatiotemporal Mapping and Driving Mechanism of Crop Planting Patterns on the Jianghan Plain Based on Multisource Remote Sensing Fusion and Sample Migration by Pengnan Xiao, Yong Zhou, Jianping Qian, Yujie Liu, Xigui Li

“…We integrated multi-temporal Sentinel-2 and Landsat-8 imagery from 2017 to 2021 on the Google Earth Engine platform and applied a sample migration strategy to construct multi-year training data. …”
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Autonomous Detection of Mineral Phases in a Rock Sample Using a Space-prototype LIMS Instrument and Unsupervised Machine Learning by Salome Gruchola, Peter Keresztes Schmidt, Marek Tulej, Andreas Riedo, Klaus Mezger, Peter Wurz

“…In situ mineralogical and chemical analyses of rock samples using a space-prototype laser ablation ionization mass spectrometer along with unsupervised machine learning are powerful tools for the study of surface samples on planetary bodies. …”
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Evaluation of miR-146a Expression Levels in Archived Serum Samples for the Diagnosis/Follow-up of Patients with Cystic Echinococcosis by Eylem Akdur Öztürk, Mesude Angın, Çağıl Coşkun, Ayşegül Ünver

“…Methods: This study included archived serum samples from 39 CE patients, 56 follow-up samples from 14 CE patients, and 3 healthy controls, and expression levels of miR-146a were evaluated in each group using quantitative real-time polymerase chain reaction. …”
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A novel antibody against human properdin inhibits the alternative complement system and specifically detects properdin from blood samples. by Diana Pauly, Benedikt M Nagel, Jörg Reinders, Tobias Killian, Matthias Wulf, Susanne Ackermann, Boris Ehrenstein, Peter F Zipfel, Christine Skerka, Bernhard H F Weber

“…Thus, mAb 1340 represents a potent properdin inhibitor suitable for further research to understand the exact mechanisms how properdin activates the complement C3-convertase and to determine quantitative levels of properdin in biological samples.…”
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The Influence of Knowledge, Motivation, and Support and Facilities on the Interest of Teachers of SMP Negeri 8 Jayapura in Publishing Publications: A Quantitative Approach to Ident... by Virman Virman

“… This study aims to identify the factors that affect the interest of SMP Negeri 8 Jayapura teachers in publishing scientific publications, analyze the obstacles faced, and offer solutions based on quantitative approaches. All population members were used as respondents in this saturated sample study, which involved 75 instructors at SMP Negeri 8 Jayapura. …”
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Current agritourism literature: What methods did researchers prefer? by Starman Ana, Pavić Lazar

“…More than half of original scientific studies opted for quantitative data collection and analysis, followed by qualitative methods (28%), mixed model (9%) and mixed methods (7%). …”
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