The datasets in discussion present detailed records for two of the world's most cultivated crops: wheat and rice. These datasets aim to provide comprehensive insights into various environmental and soil-related factors that are traditionally considered influential in determining the yield of these crops. By analyzing these datasets, researchers, agronomists, and farmers can gain a better understanding of the interplay between different attributes and how they might impact the overall crop yield.


Wheat Dataset:



The Numerical Latin Letters (DNLL) dataset consists of Latin numeric letters organized into 26 distinct letter classes, corresponding to the Latin alphabet. Each class within this dataset encompasses multiple letter forms, resulting in a diverse and extensive collection. These letters vary in color, size, writing style, thickness, background, orientation, luminosity, and other attributes, making the dataset highly comprehensive and rich.


<p>Finding software developers with expertise in specific technologies that align with industry domains is an increasingly critical requirement. However, due to the ever-changing nature of the technology industry, locating these professionals has become a significant challenge for companies and institutions. This research presents a comprehensive overview of studies exploring suitable recommendation systems that can assist companies in addressing this pressing need.


This figures show a sequence of photos of puncturing into the zerbrafish embryo. Initially, the tip approached the embryo orthogonally to the slot and punctured into the embryo at the instant that it was in contact with the cell membrane. Subsequently, the USPA caused the tip to retract from the embryo; this process changed the embryo’s position possibly because of the dragging force between the pipette and the membrane [48].


Smart farming is the targeted use of phenotyping for the rapid, continuous, and accurate assessment of plant health in the field. Bioimpedance monitoring can play a role in smart farming as a phenotyping method, which is now accessible thanks to recent efforts to commoditize and miniaturize electronics. Here, we demonstrate that bioimpedance measurements reflect the physiological changes in live plant tissue with induced alterations in their environmental conditions.


The inquiry into the impact of diverse transitions between cross-reality environments on the user experience remains a compelling research endeavor. 

Existing work often offers fragmented perspectives on various techniques or confines itself to a singular segment of the reality-virtuality spectrum, be it virtual reality or augmented reality.

This study embarks on bridging this knowledge gap by systematically assessing the effects of six prevalent transitions while users remain immersed in tasks spanning both virtual and physical domains. 


RITA (Resource for Italian Tests Assessment), is a new NLP dataset of academic exam texts written in Italian by second-language learners for obtaining the CEFR certification of proficiency level.
RITA dataset is available for automatic processing in CSV and XML format, under an agreement of citation.


We present a finite-element-based cohesive zone model for simulating the nonlinear fracture process driving the propagation of water-filled surface crevasses in floating ice tongues. The fracture process is captured using an interface element whose constitutive behavior is described by a bilinear cohesive law, and the bulk rheology of ice is described by a nonlinear elasto-viscoplastic model. The additional loading due to meltwater pressure within the crevasse is incorporated by combining the ideas of poromechanics and damage mechanics.