The study of plant growth promoter production from leather industrial solid waste by John Sundar

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Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves by Anaïs Machard, Agnese Salvati, Mamak P. Tootkaboni, Abhishek Gaur, Jiwei Zou, Liangzhu Leon Wang, Fuad Baba, Hua Ge, Facundo Bre, Emmanuel Bozonnet, Vincenzo Corrado, Xuan Luo, Ronnen Levinson, Sang Hoon Lee, Tianzhen Hong, Marcelo Salles Olinger, Rayner Maurício e Silva Machado, Emeli Lalesca Aparecida da Guarda, Rodolfo Kirch Veiga, Roberto Lamberts, Afshin Afshari, Delphine Ramon, Hoang Ngoc Dung Ngo, Abantika Sengupta, Hilde Breesch, Nicolas Heijmans, Jade Deltour, Xavier Kuborn, Sana Sayadi, Bin Qian, Chen Zhang, Ramin Rahif, Shady Attia, Philipp Stern, Peter Holzer

“…Abstract We present unprecedented datasets of current and future projected weather files for building simulations in 15 major cities distributed across 10 climate zones worldwide. …”
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Activity of sorghum aphid and its natural enemies in the context of agroecological and weather conditions by Tomasz E. Koralewski, Tomasz E. Koralewski, Michael J. Brewer, Leonel L. Deleon, Norman C. Elliott, Kristopher Giles, Adrianna Szczepaniec, Ashleigh M. Faris, Ashleigh M. Faris

“…Our results indicate that various aspects of landscape composition, landscape configuration, and weather affect various insect groups and various aspects of insect dynamics in the field. …”
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Neither Worker, Nor Queen: An Ant Caste Specialized in the Production of Unfertilized Eggs by J. Heinze, S. P. Cover, B. Hölldobler

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An investigation of machine learning methods applied to genomic prediction in yellow-feathered broilers by Bogong Liu, Huichao Liu, Junhao Tu, Jian Xiao, Jie Yang, Xi He, Haihan Zhang

“…In this study, seven different ML methods—support vector regression (SVR), random forest (RF), gradient boosting decision tree (GBDT), extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), kernel ridge regression (KRR) and multilayer perceptron (MLP) were employed to predict the genomic breeding values of laying traits, growth and carcass traits in a yellow-feathered broiler breeding population. The results indicated that classic methods, such as GBLUP and Bayesian, achieved superior prediction accuracy compared to ML methods in five of the eight traits. …”
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Delineation of the Topoclimates of Eastern Cuba by Local Weather Patterns and Unsupervised Machine Learning by Arisleidys Peña-De la Cruz, Ricardo Delgado-Téllez, Yusmira Savón-Vaciano, Mingtao Ding

“…A regional numerical weather model, driven by reanalysis, was used to obtain temperature patterns at a resolution of 0.6 km. …”
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Severe Weather Events over Southeastern Brazil during the 2016 Dry Season by Amanda Rehbein, Lívia Márcia Mosso Dutra, Tercio Ambrizzi, Rosmeri Porfírio da Rocha, Michelle Simões Reboita, Gyrlene Aparecida Mendes da Silva, Luiz Felippe Gozzo, Ana Carolina Nóbile Tomaziello, José Leandro Pereira Silveira Campos, Victor Raul Chavez Mayta, Natália Machado Crespo, Paola Gimenes Bueno, Vannia Jaqueline Aliaga Nestares, Laís Tabosa Machado, Eduardo Marcos De Jesus, Luana Albertani Pampuch, Maria de Souza Custódio, Camila Bertoletti Carpenedo

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The algorithm for foggy weather target detection based on YOLOv5 in complex scenes by Zhaohui Liu, Wenshuai Hou, Wenjing Chen, Jiaxiu Chang

“…Abstract With the rapid development of urbanization and global climate warming, complex environments and adverse weather conditions pose significant challenges to the accuracy of object detection and driving safety in autonomous driving systems. …”
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The Role of Crop Production Practices and Weather Conditions in Microbiological Safety of Tomatoes and Peppers by Massimiliano Marvasi, George Hochmuth, Max Teplitski

“…(Photo: Max Teplitski, UF/IFAS) SL415/SS628: The Role of Crop Production Practices and Weather Conditions in Microbiological Safety of Tomatoes and Peppers (ufl.edu) …”
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Two Different Integration Methods for Weather Radar-Based Quantitative Precipitation Estimation by Jing Ren, Yong Huang, Li Guan, Jie Zhou

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Evaluating Rainy Weather Effects on Driving Behaviour Dimensions of Driving Behaviour Questionnaire by Vahid Bakhshi, Kayvan Aghabayk, Nasser Parishad, Nirajan Shiwakoti

“…Compared to male drivers, female drivers showed lower high-velocity behaviours with law violation when driving in dry weather and in rainy weather. Married drivers have not only less tendency to drive fast or violate the law compared to single drivers but are also less susceptible to these actions during rain. …”
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Applied research note: Optimized corticosterone extraction following feather dissolution by keratinase by Nikolas R. Faust, Rosemary L. Walzem

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Machine Learning  Modelling of the Relationship between Weather and Paddy Yield in Sri Lanka by Piyal Ekanayake, Windhya Rankothge, Rukmal Weliwatta, Jeevani W. Jayasinghe

“…This paper presents the development of crop-weather models for the paddy yield in Sri Lanka based on nine weather indices, namely, rainfall, relative humidity (minimum and maximum), temperature (minimum and maximum), wind speed (morning and evening), evaporation, and sunshine hours. …”
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Exploring activist perspectives on Indigenous-settler solidarity in Toronto’s food sovereignty movement by Taliya Seidman-Wright, Sarah Rotz

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The Role of Crop Production Practices and Weather Conditions in Microbiological Safety of Tomatoes and Peppers by Massimiliano Marvasi, George Hochmuth, Max Teplitski

“…(Photo: Max Teplitski, UF/IFAS) SL415/SS628: The Role of Crop Production Practices and Weather Conditions in Microbiological Safety of Tomatoes and Peppers (ufl.edu) …”
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Experimental Methods to Assess the Effectiveness of Soil Conditioning with Foam in Fully Weathered Granite by Liming Tao, Zhongtian Chen, Jian Cui, Huiwu Wang, Yong Fang

“…The test method is introduced and performed on fully weathered granite from Guangzhou Metro Line 21. The test results demonstrate that the foam injection ratio and pressure and type of the foaming agent all influence the performance of the conditioned soil. …”
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A Reliable Generative Adversarial Network Approach for Climate Downscaling and Weather Generation by Neelesh Rampal, Peter B. Gibson, Steven Sherwood, Gab Abramowitz, Sanaa Hobeichi

“…Abstract Anticipating climate impacts and risks in present or future climates requires predicting the statistics of high‐impact weather events at fine‐scales. Direct numerical simulations of fine‐scale weather are computationally too expensive for many applications. …”
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Effects of zeolite and palm fiber on the weathering resistance and durability characteristic of cement soil by Weiqing Qu, Naman Maimt, Jili Qu

“…The results indicate that the cement soil composite of zeolite and palm fiber, when combined in optimal proportions, exhibits the best durability and minimal loss of strength and mass, irrespective of whether exposed to clean water or salt erosion, as well as during dry-wet or freeze-thaw cycles.…”
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Die Idee des stummen Fundamentes bei Rameau, Kirnberger und Sechter by Sören Sönksen

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An Online Interactive Experiment Management System for CMA Numerical Weather Prediction Models by Wang Bin, Hu Jiangkai, Cui Yingjie, Zhou Bin, Sun Jing, Zhao Chunyan, Lou Panxing

Subjects: “…numerical weather prediction model…”
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