Notice of Multivariate Statistical Analysis Training Seminar Level 1 from November 28 to 29, 2024 (Fushimi Ward, Kyoto City)

I have summarized methods such as principal component analysis and multivariate spectral decomposition in multivariate statistical analysis!

The "Multivariate Statistical Analysis" is a catalog from Quality Design Co., Ltd., which engages in the development and sale of analysis software related to the sales of scientific instruments and manufacturing processes. It provides an easy-to-understand summary of multivariate statistical analysis, including principal component analysis, multivariate spectral decomposition methods, and the concepts of various regression formulas. Additionally, we offer workshops for our multivariate statistical analysis training courses held 3 to 4 times a year in Tokyo and Osaka, so please feel free to contact us. [Contents] ■ Principal Component Analysis ■ Multivariate Spectral Decomposition Method ■ Concepts of Various Regression Formulas ■ Handling of 3D Data ■ Information on Training Seminars *For more details, please refer to the catalog or feel free to contact us.

• Technical Seminar

We would like to extend our heartfelt congratulations on the continued prosperity of your esteemed company. Our company will be exhibiting at the following trade show, where we will introduce a number of products, including our new product, the Pillow Packaging Full Air Tightness Inspection Machine MSQ-2003. We sincerely apologize for the inconvenience during your busy schedule, but we would like to invite you to visit us at this opportunity. 【 Exhibition Name 】 JAPAN PACK 2025 Japan Packaging Industry Exhibition https://www.japanpack.jp/ 【 Dates 】 October 7 (Tuesday) to October 10 (Friday), 2025 *4 days 10:00 AM to 5:00 PM 【 Venue / Booth Number 】 Tokyo Big Sight / East Hall 8, Booth 8-505

Sanei Hitec Co., Ltd. will exhibit at SENSOR EXPO JAPAN 2025, which will be held from September 10 (Wednesday) to September 12 (Friday), 2025. At this Sensor EXPO 2025, we will showcase our semiconductor design technology and high-performance IP (Intellectual Property) that support the evolution of sensors.

Sanei Hightex Co., Ltd. will exhibit at the "Student Formula Japan Championship 2025" at the Shizuoka Prefecture booth in Aichi Sky Expo Exhibition Halls E and F from September 11 to 13, 2025.

We would like to inform you that we will be exhibiting our products at the 63rd Annual Meeting of the Biophysical Society of Japan. If you are planning to attend, please be sure to stop by. ❚ Products to be Exhibited - Auto Patch Clamp System | Port-a-Patch mini This compact system eliminates the need for a microscope, vibration isolation table, manipulator, and Faraday cage, which are typically required for conventional patch clamp experiments. It does not require specialized skills or experience, allowing for easy data acquisition and verification. - Artificial Lipid Bilayer Experiment Device | Orbit mini This device allows for easy measurement of channel activity at the single-molecule level. It enables the formation of lipid membranes, reconstitution of membrane proteins, and single-channel measurements using only a micropipette in experiments utilizing artificial lipid bilayers, facilitating functional and structural analysis of target membrane proteins and evaluation of drug effects. - Liposome Preparation Device | Vesicle Prep Pro This is the world's first device capable of producing giant unilamellar vesicles (GUVs) with diameters ranging from 1 to 30 μm without the use of organic solvents, utilizing the electroporation method (vibrating hydrated lipid films in an alternating electric field).

The success or failure of an AI project depends on the quality and immediacy of the "data infrastructure." By combining no-code and low-code products, it is possible to achieve a seamless process from data collection to integration and AI utilization, efficiently building a data infrastructure that supplies high-quality data to AI. We will explain specific methods for flexibly and quickly constructing a data infrastructure, incorporating case studies and demos, and introduce key points of a data strategy to lead to successful AI utilization.