Mendeley Data Showcase

The TOM2024 dataset is a valuable resource for agricultural research, comprising 25,844 raw images and 12,227 labeled images of tomato, onion, and maize crops. These images are categorized into 30 classes, facilitating precise identification of pests and diseases, which is crucial for improving crop management and food security. The dataset supports sustainable agriculture by promoting early and accurate pest and disease detection, reducing reliance on pesticides. Its accessibility allows researchers and institutions to develop advanced digital solutions, enhancing the effectiveness of pest and disease management. Additionally, the dataset's versatility—searchable by region, crop type, and other criteria—makes it suitable for model development, education, and agricultural extension services. With high-resolution images captured under diverse environmental conditions, TOM2024 offers a robust foundation for training AI models, ultimately contributing to the advancement of precision agriculture.

A precision air supply system for cooling cows was installed and monitored, combined with the traditional GHP system to improve both the thermal environment in the dairy barns and the animal wellbeing. The objectives of this study are to evaluate the innovative geothermal heat pump-precision air supply (GHP-PAS) system for its effectiveness in mitigating heat stress in lactating dairy cattle, as well as their energy performance and local cooling performance in the free stalls.

The information from the laboratory of the Kirkuk unified water treatment plant used in this dataset is for April 2011 only. This information is in the form of tests for raw water, water output from the sedimentation basins, and water output from filtration. In addition, the amount of ALUM added to the water per day, the amount of chlorine used per hour, the water temperature, and the flows for each sample are also recorded. The amount of alum used per day was determined by a jar test, and the amount of chlorine used per hour depends on the amount of water processed for consumers per hour. We are interested in 5 parameters of raw water for our study. Turbidity (TU), PH, Total Suspended Solid (TSS), Total Dissolved Solid (TDS), and Electrical Conductivity (EC).

This R Shiny software provides a simple interactive graphical user interface for exploring scRNAseq data, assessing the biological relevance of clustering results, and performing trajectory analysis with STREAM and the scVelco algorithm.

Eukaryotic translation initiation factor 4 gamma 3 | eIF4G3; Leishmania donovani (HU3 strain)

All created animations regarding

All data files for the article"From Flourish to Nourish: Cultivating Soil Health for Sustainable Floriculture

This code is for article, "An innovative FIPA computerization for intermittency LSSPV generation reconfiguration". Therefore, it is similar explanation from this description. FIPA is executing regarding SPV penetration fluctuation rate for every point of 1-minute temporal resolution and varies with load demand. In this investigation, LSSPV is connected to the IEEE 39 bus system via bus 32 for initial condition. With this proposed technique, the adaptable and resilient infrastructure can be improved especially in high variability of RES. Besides, this approach will enable utility providers, distributed generator teams, and financial departments to assess and address issues related to electricity prices and the quality of supply in the solar photovoltaic (SPV) sector. The integration of renewable energy into the generation and distribution system can achieve sustainability goals and address climate change. Please cite any of this paper for credit: 1. Title: An innovative FIPA computerization for intermittency LSSPV generation reconfiguration Author: mashitah mohd hussain 2. Title: Investigation of Critical Time Analysis Considering Shunt Compensation Interconnecting WECC SPV Model Author: mashitah mohd hussain 3. Title: Short Term Forecasting of Electrical Consumption Using A NeuralNetwork: Joint Approximate Diagonal Eigenvalue Author: mashitah mohd hussain For detailed information/code please email me: mashitah1116@gmail.com or mashitah1116@uitm.edu.my

The study is driven to understand the factors influencing teacher educators to unable to use ICT tools in their classroom practices. Plenty of studies have previously investigated and are being investigated, too on the same. The government has been vigorously trying to implement ICT into teaching for decades but still focusing on the affective factors shows the unintentional failure of effective implementation of the policies. Therefore, the author is motivated to examine the functional barriers affecting the effective implementation of ICT in the teaching-learning process at the teacher-education level. Therefore, this research emerged with the following questions, 1). Does the inadequate ICT infrastructure significantly hampers the ICT integration in teacher education classroom in the Pondicherry region? 2). Does lack of training significantly hinders the effective integration of ICT into teacher education classroom in the Pondicherry region? 3). Does, negative attitude towards technology among teachers significantly hinder the practical adoption of ICT in teacher education? 4). Does lack of institutional leaders support significantly hinders effective ICT integration in the teacher education classroom still in this digital era. Effective, implementation of anything, such as policies, methodologies, etc., are in the hands of teachers because teachers are the ground-level workers. Hence, the study employed teacher educators as the sample, derived from the population of teacher educators working in both Government and Private teacher education institutions in the Pondicherry region. The population of the study is 120. Since the study is a census in nature, all the 120 teacher educators working in the teacher education institutions considered as a sample. This study conducted descriptive survey under the quantitative research method to lead the study. The researcher developed a survey tool to gather the data from the selected sample. The survey questionnaire consisted of 12 items in four significant factors affecting integrating ICT in classroom teaching.

Auxiliary Data.gdb: Land_use: original land use data POI_name: interests-point-data from the Amap platform (name indicates category) New_gridded_population_dataset(.gdb): experimental result data, i.e., a gridded population map of mainland China with a resolution of 100 meters New_minus_WorldPop_PopulationResidual(.gdb): pixel-level residuals of the new gridded population dataset with the Worldpop dataset PopulationData_AdministrativeUnitLevel.gdb: Population_data_mainlandChina_level3: population data at the district and county level in mainland China Population_data_Name_level4_Table: township and street-level population data for provinces and municipalities POI_Correlation_Coefficient: Python script: programming implementation for selecting the optimal bandwidth for POI Zonal statistical output of POI kernel density values: summary of various POI kernel densities in residential areas of administrative units Summary of POI Pearson correlation coefficients: sum of Pearson's correlation coefficients for 13 types of POIs at a certain bandwidth Note: Due to the storage space limitation, 3D building, nighttime light, and WorldPop datasets have not been uploaded. To access these publicly available data, please visit the official website via the "Related links" at the bottom. In addition, we are not authorized to share data for the fourth level of administrative boundaries, so we only share the corresponding population data in tabular form.