Introduction – Company Background
GuangXin Industrial Co., Ltd. is a specialized manufacturer dedicated to the development and production of high-quality insoles.
With a strong foundation in material science and footwear ergonomics, we serve as a trusted partner for global brands seeking reliable insole solutions that combine comfort, functionality, and design.
With years of experience in insole production and OEM/ODM services, GuangXin has successfully supported a wide range of clients across various industries—including sportswear, health & wellness, orthopedic care, and daily footwear.
From initial prototyping to mass production, we provide comprehensive support tailored to each client’s market and application needs.
At GuangXin, we are committed to quality, innovation, and sustainable development. Every insole we produce reflects our dedication to precision craftsmanship, forward-thinking design, and ESG-driven practices.
By integrating eco-friendly materials, clean production processes, and responsible sourcing, we help our partners meet both market demand and environmental goals.
Core Strengths in Insole Manufacturing
At GuangXin Industrial, our core strength lies in our deep expertise and versatility in insole and pillow manufacturing. We specialize in working with a wide range of materials, including PU (polyurethane), natural latex, and advanced graphene composites, to develop insoles and pillows that meet diverse performance, comfort, and health-support needs.
Whether it's cushioning, support, breathability, or antibacterial function, we tailor material selection to the exact requirements of each project-whether for foot wellness or ergonomic sleep products.
We provide end-to-end manufacturing capabilities under one roof—covering every stage from material sourcing and foaming, to precision molding, lamination, cutting, sewing, and strict quality control. This full-process control not only ensures product consistency and durability, but also allows for faster lead times and better customization flexibility.
With our flexible production capacity, we accommodate both small batch custom orders and high-volume mass production with equal efficiency. Whether you're a startup launching your first insole or pillow line, or a global brand scaling up to meet market demand, GuangXin is equipped to deliver reliable OEM/ODM solutions that grow with your business.
Customization & OEM/ODM Flexibility
GuangXin offers exceptional flexibility in customization and OEM/ODM services, empowering our partners to create insole products that truly align with their brand identity and target market. We develop insoles tailored to specific foot shapes, end-user needs, and regional market preferences, ensuring optimal fit and functionality.
Our team supports comprehensive branding solutions, including logo printing, custom packaging, and product integration support for marketing campaigns. Whether you're launching a new product line or upgrading an existing one, we help your vision come to life with attention to detail and consistent brand presentation.
With fast prototyping services and efficient lead times, GuangXin helps reduce your time-to-market and respond quickly to evolving trends or seasonal demands. From concept to final production, we offer agile support that keeps you ahead of the competition.
Quality Assurance & Certifications
Quality is at the heart of everything we do. GuangXin implements a rigorous quality control system at every stage of production—ensuring that each insole meets the highest standards of consistency, comfort, and durability.
We provide a variety of in-house and third-party testing options, including antibacterial performance, odor control, durability testing, and eco-safety verification, to meet the specific needs of our clients and markets.
Our products are fully compliant with international safety and environmental standards, such as REACH, RoHS, and other applicable export regulations. This ensures seamless entry into global markets while supporting your ESG and product safety commitments.
ESG-Oriented Sustainable Production
At GuangXin Industrial, we are committed to integrating ESG (Environmental, Social, and Governance) values into every step of our manufacturing process. We actively pursue eco-conscious practices by utilizing eco-friendly materials and adopting low-carbon production methods to reduce environmental impact.
To support circular economy goals, we offer recycled and upcycled material options, including innovative applications such as recycled glass and repurposed LCD panel glass. These materials are processed using advanced techniques to retain performance while reducing waste—contributing to a more sustainable supply chain.
We also work closely with our partners to support their ESG compliance and sustainability reporting needs, providing documentation, traceability, and material data upon request. Whether you're aiming to meet corporate sustainability targets or align with global green regulations, GuangXin is your trusted manufacturing ally in building a better, greener future.
Let’s Build Your Next Insole Success Together
Looking for a reliable insole manufacturing partner that understands customization, quality, and flexibility? GuangXin Industrial Co., Ltd. specializes in high-performance insole production, offering tailored solutions for brands across the globe. Whether you're launching a new insole collection or expanding your existing product line, we provide OEM/ODM services built around your unique design and performance goals.
From small-batch custom orders to full-scale mass production, our flexible insole manufacturing capabilities adapt to your business needs. With expertise in PU, latex, and graphene insole materials, we turn ideas into functional, comfortable, and market-ready insoles that deliver value.
Contact us today to discuss your next insole project. Let GuangXin help you create custom insoles that stand out, perform better, and reflect your brand’s commitment to comfort, quality, and sustainability.
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Flexible manufacturing OEM & ODM factory Taiwan
Are you looking for a trusted and experienced manufacturing partner that can bring your comfort-focused product ideas to life? GuangXin Industrial Co., Ltd. is your ideal OEM/ODM supplier, specializing in insole production, pillow manufacturing, and advanced graphene product design.
With decades of experience in insole OEM/ODM, we provide full-service manufacturing—from PU and latex to cutting-edge graphene-infused insoles—customized to meet your performance, support, and breathability requirements. Our production process is vertically integrated, covering everything from material sourcing and foaming to molding, cutting, and strict quality control.Taiwan foot care insole ODM expert
Beyond insoles, GuangXin also offers pillow OEM/ODM services with a focus on ergonomic comfort and functional innovation. Whether you need memory foam, latex, or smart material integration for neck and sleep support, we deliver tailor-made solutions that reflect your brand’s values.
We are especially proud to lead the way in ESG-driven insole development. Through the use of recycled materials—such as repurposed LCD glass—and low-carbon production processes, we help our partners meet sustainability goals without compromising product quality. Our ESG insole solutions are designed not only for comfort but also for compliance with global environmental standards.Graphene-infused pillow ODM Vietnam
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Neuroscientists discovered that small, precisely connected networks of neurons can create accurate internal compasses, challenging prior assumptions about the brain’s computation needs. This new theory expands the understanding of how small networks perform complex tasks. Researchers found that fruit flies’ small brain network can generate an accurate internal compass, revealing that complex computations can be done with fewer neurons than previously thought. Neuroscientists had a problem. For years, researchers had proposed a theory about how an animal’s brain tracks its position relative to its environment without relying on external cues – similar to how we can sense our location even with our eyes shut. According to the theory, which was based on brain recordings from rodents, networks of neurons called ring attractor networks maintain an internal compass that keeps track of where you are in the world. An accurate internal compass was thought to require a large network with many neurons, while a small network with few neurons would cause the compass’s needle to drift, creating errors. Then researchers discovered an internal compass in the tiny fruit fly. “The fly’s compass is very accurate, but it’s built from a really small network, contrary to what previous theories assumed,” says Janelia Group Leader Ann Hermundstad. “So, there was clearly a gap in our understanding of brain compasses.” Now, research led by Marcella Noorman, a postdoc in the Hermundstad Lab at HHMI’s Janelia Research Campus, explains this conundrum. The new theory shows how it is possible to create a perfectly accurate internal compass with a very small network, like in fruit flies. The work changes the way neuroscientists think about how the brain carries out many tasks, from working memory to navigation to decision-making. “This really expands our knowledge of what small networks can do,” Noorman says. “They actually can do a lot more complicated computations than previously known.” Generating a ring attractor When Noorman arrived at Janelia in 2019, she was presented with the problem Hermundstad and others had been puzzling over: How could the fruit fly’s small brain generate an accurate internal compass? Noorman first set out to show that you couldn’t generate a ring attractor with a small network of neurons, but that you needed to add “extra stuff” — like other cell types and more detailed biophysical properties of the cells – to get it to work. To do that, she stripped away all the “extra stuff” from existing models, to see if she could generate a ring attractor with what was left over. She thought this wouldn’t be possible. But Noorman struggled to prove her hypothesis. That’s when she decided she needed a different approach. “I had to flip my mindset and think, well, maybe it’s because you can generate a ring attractor with a small network,” she says, “and then figure out what specific conditions the network has to satisfy to make that happen.” By changing her assumption, Noorman discovered that, in fact, it is possible to generate a ring attractor with as few as four neurons, as long as the connections between them are carefully adjusted. Noorman worked with other researchers at Janelia to test the new theory in the lab, finding physiological evidence that the fly brain can generate a ring attractor. “Smaller networks and smaller brains can perform more complicated computations than we previously thought,” Noorman says. “But, to do so, the neurons have to be connected much more precisely than they would otherwise need to be in a larger brain where you can use a lot of neurons to perform the same computation.” “So there’s a trade-off between how many neurons you use for this computation and how carefully you have to connect them,” she says. Next, the researchers plan to explore whether the “extra stuff” might provide additional robustness to the ring attractor network, and whether the base computation could serve as a building block for more complicated computations in bigger networks with multiple variables. Additional experiments could also help researchers understand how the connections between neurons in the network are adjusted and how sensory cues might impact the network’s representation of head direction. For Noorman, a mathematician turned neuroscientist, it has been challenging but fun to figure out how to translate biology into a math problem that can be solved. “The fly’s head direction system is the first example of neural activity that I’d ever seen, so it’s been fun to actually figure out and understand how that works,” she says. Reference: “Maintaining and updating accurate internal representations of continuous variables with a handful of neurons” by Marcella Noorman, Brad K. Hulse, Vivek Jayaraman, Sandro Romani and Ann M. Hermundstad, 3 October 2024, Nature Neuroscience. DOI: 10.1038/s41593-024-01766-5
Recent research on the fossil ape Lufengpithecus’s inner ear structures offers new clues to the evolutionary steps towards human bipedalism, revealing the significant roles of the inner ear and climate change in this evolutionary journey. Reconstruction of the locomotor behavior and paleoenvironment of Lufengpithecus. Credit: Illustration by Xiaocong Guo; image courtesy of Xijun Ni, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences The inner ear of a fossilized ape, dating back 6 million years, sheds light on the development of human locomotion. Humans and our closest living relatives, the apes, exhibit an extraordinary variety of ways to move, ranging from bipedal walking on two legs to tree climbing and quadrupedal walking on all fours. While scientists have long been intrigued by the question of how humans’ bipedal stance and movement evolved from a quadrupedal ancestor, neither past studies nor fossil records have permitted the reconstruction of a clear and definitive history of the early evolutionary stages that led to human bipedalism. However, a new study, which centers on recently discovered evidence from skulls of a 6-million-year-old fossil ape, Lufengpithecus, offers important clues about the origins of bipedal locomotion courtesy of a novel method: analyzing its bony inner ear region using three-dimensional CT-scanning. “The semicircular canals, located in the skull between our brains and the external ear, are critical to providing our sense of balance and position when we move, and they provide a fundamental component of our locomotion that most people are probably unaware of,” explains Yinan Zhang, a doctoral student at the Institute of Vertebrate Paleontology and Paleoanthropology of the Chinese Academy of Sciences (IVPP) and the lead author of the paper, which appears in the journal the Innovation. “The size and shape of the semicircular canals correlate with how mammals, including apes and humans, move around their environment. Using modern imaging technologies, we were able to visualize the internal structure of fossil skulls and study the anatomical details of the semicircular canals to reveal how extinct mammals moved.” Three different views of the reconstructed inner ear of Lufengpithecus. Credit: Image courtesy of Yinan Zhang, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences Evolutionary Steps to Bipedalism “Our study points to a three-step evolution of human bipedalism,” adds Terry Harrison, a New York University anthropologist and one of the paper’s co-authors. “First, the earliest apes moved in the trees in a style that was most similar to aspects of the way that gibbons in Asia do today. Second, the last common ancestor of apes and humans was similar in its locomotor repertoire to Lufengpithecus, using a combination of climbing and clambering, forelimb suspension, arboreal bipedalism, and terrestrial quadrupedalism. It is from this broad ancestral locomotor repertoire that human bipedalism evolved.” Most studies of the evolution of ape locomotion have focused on comparisons of the bones of the limbs, shoulders, pelvis, and spine and the way they are associated with the different types of locomotor behaviors seen in living apes and humans. However, the diversity of locomotor behaviors in living apes and the incompleteness of the fossil record have hampered the development of a clear picture of human bipedalism’s origins. Technological Advancements in Fossil Examination The skulls of Lufengpithecus—originally discovered in China’s Yunnan Province in the early 1980s—have given scientists the opportunity to address, in new ways, unanswered questions about the evolution of locomotion. However, the heavy compression and distortion of the skulls obscured the bony ear region and led previous researchers to believe that the delicate semicircular canals were not preserved. To better explore this region, Zhang, Ni, and Harrison, along with other researchers at IVPP and the Yunnan Institute of Cultural Relics and Archaeology (YICRA), used three-dimensional scanning technologies to illuminate these portions of the skulls to create a virtual reconstruction of the inner ear’s bony canals. They then compared these scans to those collected from other living and fossil apes and humans from Asia, Europe, and Africa. “Our analyses show that early apes shared a locomotor repertoire that was ancestral to human bipedalism,” explains IVPP Professor Xijun Ni, who led the project. “It appears that the inner ear provides a unique record of the evolutionary history of ape locomotion that offers an invaluable alternative to the study of the postcranial skeleton.” “Most fossil apes and their inferred ancestors are intermediate in locomotor mode between gibbons and African apes,” adds Ni. “Later, the human lineage diverged from the great apes with the acquisition of bipedalism, as seen in Australopithecus, an early human relative from Africa.” By studying the rate of evolutionary change in the bony labyrinth, the international team proposed that climate change may have been an important environmental catalyst in promoting the locomotor diversification of apes and humans. “Cooler global temperatures, associated with the build-up of glacial ice sheets in the northern hemisphere approximately 3.2 million years ago, correspond with an uptick in the rate of change of the bony labyrinth and this may signal a rapid increase in the pace of ape and human locomotor evolution,” explains Harrison. Reference: “Lufengpithecus inner ear provides evidence of a common locomotor repertoire ancestral to human bipedalism” by Yinan Zhang, Xijun Ni, Qiang Li, Thomas Stidham, Dan Lu, Feng Gao, Chi Zhang and Terry Harrison, 14 February 2024, The Innovation. DOI: 10.1016/j.xinn.2024.100580
Researchers identified the atomic structure of a coronavirus protein that aids in evading and suppressing human immune cell responses. Biologists used crystallography performed at Berkeley Lab’s Advanced Light Source to reveal the new virus’s unusual protein structure. A team of HIV researchers, cellular biologists, and biophysicists who banded together to support COVID-19 science determined the atomic structure of a coronavirus protein thought to help the pathogen evade and dampen response from human immune cells. The structural map – which is now published in the journal PNAS, but has been open-access for the scientific community since August – has laid the groundwork for new antiviral treatments tailored specifically to SARS-CoV-2, and enabled further investigations into how the newly emerged virus ravages the human body. “Using X-ray crystallography, we built an atomic model of ORF8, and it highlighted two unique regions: one that is only present in SARS-CoV-2 and its immediate bat ancestor, and one that is absent from any other coronavirus,” said lead author James Hurley, a UC Berkeley professor and former faculty scientist at Lawrence Berkeley National Laboratory (Berkeley Lab). “These regions stabilize the protein – which is a secreted protein, not bound to the membrane like the virus’s characteristic spike proteins – and create new intermolecular interfaces. We, and others in the research community, believe these interfaces are involved in reactions that somehow make SARS-CoV-2 more pathogenic than the strains it evolved from.” Structural Biology in the Spotlight Generating protein structure maps is always labor intensive, as scientists have to engineer bacteria that can pump out large quantities of the molecule, manipulate the molecules into a pure crystalline form, and then take many, many X-ray diffraction images of the crystals. These images – produced as X-ray beams bounce off atoms in the crystals and pass through gaps in the lattice, generating a pattern of spots – are combined and analyzed via special software to determine the location of every individual atom. This painstaking process can take years, depending on the complexity of the protein. For many proteins, the process of building a map is helped along by comparing the unsolved molecule’s structure to other proteins with similar amino acid sequences that have already been mapped, allowing scientists to make informed guesses about how the protein folds into its 3D shape. But for ORF8, the team had to start from scratch. ORF8’s amino acid sequence is so unlike any other protein that scientists had no reference for its overall shape, and it is the 3D shape of a protein that determines its function. Hurley and his UC Berkeley colleagues, experienced in structural analysis of HIV proteins, worked with Marc Allaire, a biophysicist and crystallography expert at the Berkeley Center for Structural Biology, located at Berkeley Lab’s Advanced Light Source (ALS). Together, the team worked in overdrive for six months – Hurley’s lab generated crystal samples and passed them to Allaire, who would use the ALS’s X-ray beamlines to take the diffraction images. It took hundreds of crystals with multiple versions of the protein and thousands of diffraction images analyzed by special computer algorithms to puzzle together ORF8’s structure. “Coronaviruses mutate differently than viruses like influenza or HIV, which quickly accumulate many little changes through a process called hypermutation. In coronaviruses, big chunks of nucleic acids sometimes move around through recombination,” explained Hurley. When this happens, big, new regions of proteins can appear. Genetic analyses conducted very early in the SARS-CoV-2 pandemic revealed that this new strain had evolved from a coronavirus that infects bats, and that a significant recombination mutation had occurred in the area of the genome that codes for a protein, called ORF7, found in many coronaviruses. The new form of ORF7, named ORF8, quickly gained the attention of virologists and epidemiologists because significant genetic divergence events like the one seen for ORF8 are often the cause of a new strain’s virulence. A ribbon diagram rendering of the ORF8 structure, which is composed of two protein units with identical amino acid sequence and shape that are connected by a sulfur-sulfur bond. Credit: The Hurley Lab/UC Berkeley “Basically, this mutation caused the protein to double in size, and the stuff that doubled was not related to any known fold,” added Hurley. “There’s a core of about half of it that’s related to a known fold type in a solved structure from earlier coronaviruses, but the other half was completely new.” Answering the Call Like so many scientists working on COVID-19 research, Hurley and his colleagues opted to share their findings before the data could be published in a peer-reviewed journal, allowing others to begin impactful follow-up studies months earlier than the traditional publication process would have allowed. As Allaire explained, the all-hands-on-deck crisis caused by the pandemic shifted everyone in the research community into a pragmatic mindset. Rather than worrying about who accomplished something first, or sticking to the confines of their specific areas of study, scientists shared data early and often, and took on new projects when they had the resources and expertise needed. In this case, Hurley’s UC Berkeley co-authors had the viral protein and crystallography expertise, and Allaire, a longtime collaborator, was right up the hill, also with crystallography expertise and, critically, a beamline that was still operational. The ALS had received special funding from the CARES Act to remain operational for COVID-19 investigations. The team knew from reviewing the SARS-CoV-2 genomic analysis posted in January that ORF8 was an important piece of the (then much hazier) pandemic puzzle, so they set to work. The authors have since all moved on to other projects, satisfied that they laid the groundwork for other groups to study ORF8 in more detail. (Currently, there are several investigations underway focused on how ORF8 interacts with cell receptors and how it interacts with antibodies, as infected individuals appear to produce antibodies that bind to ORF8 in addition to antibodies specific to the virus’s surface proteins.) “When we started this, other projects had been put on hold, and we had this unique opportunity to hunker down and solve an urgent problem,” said Allaire, who is part of Berkeley Lab’s Molecular Biophysics and Integrated Bioimaging Division. “We worked very closely, with a lot of back and forth, until we got it right. It really has been one of the best collaborations of my career.” From Sequence to Structure Sequencing a gene or a string of amino acids to understand the components of a protein is fast and easy for scientists these days, but studying how a sequence of amino acids interact to fold into the protein’s actual physical form using X-ray crystallography or cryo-electron microscopy is complex and time intensive. As a consequence, there has been a longstanding call within biology to develop tools that accurately predict a protein’s structure based on its sequence. A ribbon diagram rendering of the ORF8 structure predicted by AlphaFold 2 (blue), overlaid onto the actual structure (green) determined by the UC Berkeley-led team. Credit: DeepMind In the past few decades, machine learning has emerged as the front-runner in this challenge. These artificial intelligence programs are fed large datasets of known protein structures so that they learn to identify correlations between sequence and fold shape, quickly finding patterns that would take years for humans to discover. Once the program – called an algorithm – is “trained” in this way, it can be used to build predictive models of unsolved protein structures. And every time it is fed a new confirmed structure, it improves. To test which algorithms are the best, companies and institutions hold competitions, the most famous of which is the biannual Critical Assessment of protein Structure Prediction (CASP) experiment. Last year, ORF8 was selected as the final challenge of the CASP competition because it “stood out as exceptionally hard to predict,” according to Hurley. The top algorithms were set loose on the ORF8 structure, as well as other structures, and it wasn’t until these structures were released in the Protein Databank in August that the CASP judges were able to select a winner. AlphaFold 2, an algorithm developed by Google offshoot DeepMind, came out on top after constructing structures that most closely matched the experimental targets, including that of ORF8. Reference: “Structure of SARS-CoV-2 ORF8, a rapidly evolving immune evasion protein” by Thomas G. Flower, Cosmo Z. Buffalo, Richard M. Hooy, Marc Allaire, Xuefeng Ren, and James H. Hurley, 12 January 2021, Proceedings of the National Academy of Sciences. DOI: 10.1073/pnas.2021785118 The Advanced Light Source is a Department of Energy Office of Science user facility. The Berkeley Center for Structural Biology is supported in part by the Howard Hughes Medical Institute and the National Institutes of Health.
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