Prediction model establishment of prognosis factors for distant metastasis of hepatocellular carcinoma based on the SEER database.

Background: Distant metastasis in hepatocellular carcinoma (HCC) is an important indicator of poor patient prognosis. Identifying patients who are at high risk of metastasis early on is essential for creating personalized treatment plans, yet currently, there is a scarcity of effective predictive tools.

Objective: To investigate the effects of different factors on distant metastasis in HCC patients and to establish a clinical prediction model for predicting distant metastasis in HCC patients.

Speckle-decoded temperature-insensitive strain identification in a multimode optical fiber.

Fiber-optic sensing systems are significant tools for measuring various physical or biochemical parameters. However, temperature cross-sensitivity prevents accurate recognition of the target input signal when optical sensors are applied in practical scenarios. Herein, leveraging a deep learning algorithm, a speckle-decoded temperature-insensitive strain sensor is proposed and experimentally demonstrated.

Thin film ferroelectric photonic-electronic memory.

To reduce system complexity and bridge the interface between electronic and photonic circuits, there is a high demand for a non-volatile memory that can be accessed both electrically and optically. However, practical solutions are still lacking when considering the potential for large-scale complementary metal-oxide semiconductor compatible integration. Here, we present an experimental demonstration of a non-volatile photonic-electronic memory based on a 3-dimensional monolithic integrated ferroelectric-silicon ring resonator.

Quantitative softness and texture bimodal haptic sensors for robotic clinical feature identification and intelligent picking.

Replicating human somatosensory networks in robots is crucial for dexterous manipulation, ensuring the appropriate grasping force for objects of varying softness and textures. Despite advances in artificial haptic sensing for object recognition, accurately quantifying haptic perceptions to discern softness and texture remains challenging. Here, we report a methodology that uses a bimodal haptic sensor to capture multidimensional static and dynamic stimuli, allowing for the simultaneous quantification of softness and texture features.

ZIF-8 functionalized S-tapered fiber-optic sensor for polystyrene nanoplastics detection by electrostatic adsorption.

Microplastic (MP) residues in marine have become an increasingly serious environmental pollution issue, and in recent years the detection of MPs in marine started to attract worldwide research interests. Optical-fiber-based environmental sensors have been extensively employed for their several merits such as high sensitivity, pressure resistance, compactness and ease of constructing communication networks. However, fiber-optic refractive index sensors are not specifically developed for distinguishing MPs from other inorganic particles suspended in water.

Deep learning and radiomics-based approach to meningioma grading: exploring the potential value of peritumoral edema regions.

To address the challenge of meningioma grading, this study aims to investigate the potential value of peritumoral edema (PTE) regions and proposes a unique approach that integrates radiomics and deep learning techniques.The primary focus is on developing a transfer learning-based meningioma feature extraction model (MFEM) that leverages both vision transformer (ViT) and convolutional neural network (CNN) architectures. Additionally, the study explores the significance of the PTE region in enhancing the grading process.

Flash-Based Computing-in-Memory Architecture to Implement High-Precision Sparse Coding.

To address the concerns with power consumption and processing efficiency in big-size data processing, sparse coding in computing-in-memory (CIM) architectures is gaining much more attention. Here, a novel Flash-based CIM architecture is proposed to implement large-scale sparse coding, wherein various matrix weight training algorithms are verified. Then, with further optimizations of mapping methods and initialization conditions, the variation-sensitive training (VST) algorithm is designed to enhance the processing efficiency and accuracy of the applications of image reconstructions.

Sub-10 nm HfZrO ferroelectric synapse with multiple layers and different ratios for neuromorphic computing.

To break the von Neumann bottleneck, emerging non-volatile memories have gained extensive attention in hardware implementing neuromorphic computing. The device scaling with low operating voltage is of great importance for delivering a high-integrating and energy-efficient neuromorphic system. In this paper, we fabricated sub-10 nm ferroelectric capacitors based on HfZrO (HZO) film with varying HfO and ZrO components.

An Efficient and Robust Partial Differential Equation Solver by Flash-Based Computing in Memory.

Flash memory-based computing-in-memory (CIM) architectures have gained popularity due to their remarkable performance in various computation tasks of data processing, including machine learning, neuron networks, and scientific calculations. Especially in the partial differential equation (PDE) solver that has been widely utilized in scientific calculations, high accuracy, processing speed, and low power consumption are the key requirements. This work proposes a novel flash memory-based PDE solver to implement PDE with high accuracy, low power consumption, and fast iterative convergence.

Deep learning for efficiently imaging through the localized speckle field of a multimode fiber.

Due to the occurrence of redundant speckle, multimode fiber (MMF) imaging is extremely challenging. Our work studies the relationship between the effective feature distribution of the speckle field and the local spatial position and area, and proves that the information distribution of the speckle is highly redundant. The effective feature refers to the phase and amplitude information of the optical field carrying the image point information and the co-exciting very redundant information due to mode dispersion, interference, coupling, and entrained noise through transmission.

Mesoscopic-scale grain formation in HfO-based ferroelectric thin films and its impact on electrical characteristics.

Ferroelectric memory devices are expected for low-power and high-speed memory applications. HfO-based ferroelectric is attracting attention for its CMOS-compatibility and high scalability. Mesoscopic-scale grains, of which size is almost comparable to device size, are formed in HfO-based ferroelectric poly-crystalline thin films, which largely influences electrical characteristics in memory devices.

Deep learning image transmission through a multimode fiber based on a small training dataset.

An improved deep neural network incorporating attention mechanism and DSSIM loss function (AM_U_Net) is used to recover input images with speckles transmitted through a multimode fiber (MMF). The network is trained on a relatively small dataset and demonstrates an optimal reconstruction ability and generalization ability. Furthermore, a bimodal fusion method is developed based on S polarization and P polarization speckles, greatly improving the recognition accuracy.

Intensity-interrogated magnetic sensor based on S-tapered and multimode fiber integrated with ferrofluids.

In this study, a high-sensitivity intensity-interrogated fiber sensor integrated with ferrofluids is proposed for the measurement of a weak magnetic field (MF) with resolved temperature cross-sensitivity. The MF sensor is fabricated simply by an offset tapering single-mode fiber concatenated with a multimode fiber (MMF), which is then encapsulated into a capillary tube filled with ferrofluids. In the presence of MMF, stronger mode coupling could be achieved over the S-tapered fiber region.

Hydrophobin HGFI assisted immunobiologic sensor based on a cascaded taper integrated ultra-long-period fiber grating.

A new type of cascaded taper integrated ultra-long-period fiber grating (ULPFG) based immunobiologic sensor has been developed that benefits from the self-assembled monolayer of class I hydrophobin HGFI. Due to the cascaded arc, discharge tapers constitute an ultra-long-period and circular symmetrical refractive index modulation along fiber axial direction, and by local integration in one period, the mode coupling would generate to the higher harmonic of LP, LP and LP modes in the wavelength range from 1300 nm to 1620 nm. The hydrophobic characteristic of the ULPFG surface is modified employing the HGFI, and the antibody molecule probes could be absorbed strongly on the HGFI nano-film, furthermore, the performances of immunobiologic sensing are investigated employing multiple control groups of matched and mismatched antigen molecule targets.

Dual-demodulation large-scope high-sensitivity refractive index sensor based on twin-core PCF.

In this paper, a refractive index (RI) sensor based on the twin-core photonic crystal fiber (TC-PCF) is presented. Introducing the rectangular array in the core area makes the PCF possible to obtain high birefringence and low confinement loss over the wavelength range from 0.6 µm to 1.

Elliptical-spiral elliptical-hole photonic crystal fiber with high birefringence, large nonlinearity, and two zero dispersion.

This paper presents a soft-glass (SF-57) elliptical-spiral photonic crystal fiber with elliptical air holes for achieving high birefringence, large nonlinearity, and tailoring two zero-dispersion wavelengths (ZDWs) in the near-infrared region. A full-vector finite-element method with perfectly matched boundary layer is used to characterize the properties of the photonic crystal fiber for different ellipticity ratios. The designed fiber has a birefringence 4 times higher than the circular-spiral structure.

Label-free in-situ real-time DNA hybridization kinetics detection employing microfiber-assisted Mach-Zehnder interferometer.

A label-free DNA biosensor based on microfiber-assisted Mach-Zehnder interferometer (MAMZI) for in-situ real-time DNA hybridization kinetics detection has been proposed and experimentally demonstrated. A microfiber of hundreds of microns in length is fabricated by tapering a segment of standard single-mode fiber (SMF) to construct the U-shaped microcavity between the lead-in and lead-out SMFs. Thanks to the mode field mismatching between the SMF and microfiber, the incident guided mode light would separate into two beams that respectively propagate in the air microcavity and the microfiber.

Photonic crystal fiber modal interferometer based on thin-core-fiber mode exciter.

A thin-core-fiber excited photonic crystal fiber modal interferometer has been proposed and experimentally demonstrated. By employing a thin-core fiber as the mode exciter, both of the core and cladding modes propagate in the photonic crystal fiber and interfere with each other. The experimental results show that the transmission dips corresponding to different-order modes have various strain responses with opposite shift directions.

Low-temperature cross-talk magnetic-field sensor based on tapered all-solid waveguide-array fiber and magnetic fluids.

A compact fiber-optic magnetic-field sensor based on tapered all-solid waveguide-array fiber (WAF) and magnetic fluid (MF) has been proposed and experimentally demonstrated. The tapered all-solid WAF is fabricated by using a fusion splicer, and the sensor is formed by immersing the tapered all-solid WAF into the MF. The transmission spectra have been measured and analyzed under different magnetic-field intensities.

Highly sensitive twist sensor employing Sagnac interferometer based on PM-elliptical core fibers.

A highly sensitive optical fiber twist sensor has been proposed by employing a Sagnac interferometer based on polarization-maintaining elliptical core fibers (PM-ECFs). The twist effects have been theoretically analyzed and experimentally demonstrated. Based on the photoelastic effect, the resonance wavelength linearly shifts with the increment of twist and the wavelength shift is also dependent on the torsion direction.

Temperature-insensitive optical fiber refractometer based on multimode interference in two cascaded no-core square fibers.

A temperature-insensitive optical fiber refractometer, based on multimode interference in no-core square fibers, has been proposed and experimentally demonstrated. The refractometer is formed by a single-mode fiber sandwiched between two segments of no-core square fibers through cleaving and fusion splicing. The transmission spectra characteristic of refractive index (RI) and environmental temperature have been investigated.