Abstract: An construction method of an embryonic chromosome signal library is provided. The construction method comprises obtaining an embryo and performing whole-genome amplification and next-generation sequencing to obtain a first chromosome signal; mapping the first chromosome signal to a chromosome reference signal to obtain a second chromosome signal; dividing the second chromosome signal within a predetermined interval range to obtain a third chromosome signal; and performing a regression correction on the sequencing read count (RC) of the third chromosome signal to obtain an embryonic chromosome signal library. Furthermore, a detection method and system of embryonic chromosomes are also provided. Thereby, the information comparison of the embryo chromosome signal library is used to determine whether the pre-implantation embryo is abnormal or not to achieve pre-implantation chromosome screening of pre-implantation embryos.

Abstract: An IoT system includes a computing module for controlling an integral function of the system and including an analysis unit and a machine learning unit. The analysis unit is capable of operational analysis and creating a predictive model and creating a predictive model according to the data analyzed. The machine learning unit has an algorithm function to create a corresponding learning model. An IoT module is electrically connected to the computing module to serve as an intermediate role. At least one detection unit is electrically connected to the IoT module and disposed in soil to detect data of environmental and soil conditions and sends the data detected to the computing module for subsequent analysis.

Abstract: An IoT system includes a computing module for controlling an integral function of the system and including an analysis unit and a machine learning unit. The analysis unit is capable of operational analysis and creating a predictive model and creating a predictive model according to the data analyzed. The machine learning unit has an algorithm function to create a corresponding learning model. An IoT module is electrically connected to the computing module to serve as an intermediate role. At least one detection unit is electrically connected to the IoT module and disposed in soil to detect data of environmental and soil conditions and sends the data detected to the computing module for subsequent analysis.

Abstract: A fabrication method of a polysilicon layer is provided. First, a substrate is provided. Then, an amorphous silicon layer is formed on the substrate. After that, a patterned photomask having a light transmitting area and a light shielding area is provided, and the amorphous silicon layer is irradiated with a light by using the patterned photomask as a mask, wherein the amorphous silicon layer corresponding to the light transmitting area is transformed into a hydrophilic amorphous silicon layer, and the amorphous silicon layer corresponding to the light shielding area remains as a hydrophobic amorphous silicon layer. Next, a hydrophilic metal catalyst is provided and disposed on the hydrophilic amorphous silicon layer. After that, an annealing process is performed to transform the hydrophilic metal catalyst into a metal catalyst layer, and the metal catalyst layer reacts with the amorphous silicon layer to form a polysilicon layer.