Exhibition at the 1st High-Performance Materials Exhibition

Polycarbonate resin that combines transparency, high rigidity, low thermal expansion, low molding shrinkage, and high dielectric constant.

It has been a long-standing dream to achieve high rigidity and low thermal expansion while maintaining the transparency and heat resistance of polycarbonate resin. As a result of utilizing advanced reinforcement material blending technology, we have realized a property balance that has not been seen before.

• plastic
• Engineering Plastics

It is effective for thermal management of equipment.

Thermal conductivity ranges from 1 to 21 W/m/K, with a wide lineup of conductive and insulating types available. You can choose according to your application. - Prevents operational issues due to temperature rise - Allows for lightweight components compared to metals - Enables free design through injection molding - Reduces the number of parts and costs by integrating heat dissipation components with surrounding parts

• plastic
• Engineering Plastics

Polycarbonate materials that express high design quality while being environmentally conscious without the need for painting.

Maximizing the transparency characteristic of polycarbonate, it exudes high design quality without the need for treatments such as painting, printing, or vapor deposition. We offer a wide range of products, from those that actively exhibit light functions, such as fluorescing under UV light or storing light to glow in the dark, to those that passively function by controlling light reflection and transmission, such as metallic finishes or colors that change depending on the viewing angle.

• plastic
• Engineering Plastics

Demonstrating power in the miniaturization of wireless communication antennas.

Yupilon(TM) high dielectric polycarbonate is a resin that achieves a high dielectric constant while maintaining a dielectric loss (dissipation factor) comparable to standard PC. The high dielectric properties enable miniaturization of components such as antennas, and its excellent processability enhances the design flexibility of equipment.

• plastic
• Engineering Plastics
• Composite Materials

We would like to express our congratulations on the continued prosperity of your esteemed company. Our company will be exhibiting at the following trade show, where we will be showcasing a number of products, including our new product, the Packaging Container Air Leak Test (Pin Hole Inspection) Device | MSQ-2003 series. We sincerely apologize for the inconvenience during your busy schedule, but we would like to cordially invite you to attend this event. 【 Trade Show Name 】 【 Dates 】 【 Venue/Booth Number 】

We would like to inform you about the autumn and winter internship opportunities for the 2028 graduates. 1. Open Company Dates: October 23, 2026 (Friday), November 11, 2026 (Wednesday), December 10, 2026 (Thursday), January 21, 2027 (Thursday) Time: 13:30 - 15:30 Location: Online (Microsoft Teams) 2. 1-Day Job Experience Dates: November 17, 2026 (Tuesday), December 16, 2026 (Wednesday) January 15, 2027 (Friday), January 27, 2027 (Wednesday), February 4, 2027 (Thursday), February 10, 2027 (Wednesday), February 18, 2027 (Thursday) Time: 10:00 - 17:30 (tentative) Location: Takaya Corporation Headquarters (661-1 Ibara-cho, Ibara City, Okayama Prefecture)

[Lecture Topics] 1. Co-creation Strategy to Deliver AI to the Field - Business Development and Joint Ventures in the Era of Generative AI and Physical AI Mr. Haruto Suzuki, Industrial and Regional Research Department, Development Bank of Japan 1. The Mechanism of Generative AI and Its Current Utilization by Companies 2. Expansion of the Generative AI Market and AI Infrastructure 3. Transition from Generative AI to Physical AI 4. Bottlenecks in Social Implementation and Solutions through Joint Ventures 5. Formation of an Implementation Ecosystem through Policy and Finance 6. Q&A / Business Card Exchange 2. Needs, Development Trends, Future Possibilities, and Challenges of Physical AI Mr. Kazushi Asama, Senior Researcher, Next-Generation Robot Research Organization, Waseda University / Emeritus Professor, University of Tokyo 1. What Physical AI Means 2. Needs for Physical AI and the Technological Trends of Generative AI Behind It 3. Development Trends of Physical AI 4. Future Possibilities and Challenges of Physical AI 5. Q&A / Business Card Exchange

Notice of participation in the "FOOD Expo 2026." 【Date and Time】 　November 11 (Wednesday) - 13 (Friday), 2026 　Opening hours: 10:00 AM - 5:00 PM 【Venue】 　Tokyo Big Sight 　East Hall 2, Booth Number B-36 【Exhibits】 　Cardboard insulated boxes 　Craft cooler cubes 　Vacuum insulated panel 　Pallet cubes

[Instructor] Yasuhiko Ogushi, Co-Representative, Bayside Energy Insights LLP [Key Lecture Content] In Japan's demand-supply adjustment market, the entry of storage batteries has intensified bidding competition, with the national bidding competition rate for primary adjustment capacity exceeding 1x by June 2026. Furthermore, preliminary figures from September indicate a notable decline in the average winning bid price for storage batteries. Is the current change temporary, or does it signal a transformation in future revenue structures? This lecture will analyze the current state of the domestic market using data on recruitment volume, bidding volume, contract rates, and prices. It will then conduct a detailed analysis of the leading markets in the UK and the US, examining how the increase in storage battery entries has impacted the revenue of the adjustment capacity market and how the roles of other markets, such as the wholesale electricity market, have changed following the revenue decline. Attention will also be paid to the differences in market systems and the factors contributing to revenue decline across countries and regions. Finally, the lecture will organize the factors that will influence future revenues in Japan's demand-supply adjustment, wholesale, and capacity markets, providing business operators engaged in grid storage battery investments with materials to create new revenue assumptions or to reassess existing revenue assumptions.