Abstract: A device structure includes a first electrode overlying a substrate; a node dielectric contacting the first electrode and including a dielectric material having a dielectric constant greater than 30; and a second electrode contacting the node dielectric. A first one of the first electrode and the second electrode includes a first catalytic metal plate in direct contact with the node dielectric and having a first electronegativity that is not greater than an electronegativity of molybdenum.

Abstract: An electronic device and a method of training a classification model for age-related macular degeneration (AMD) are provided. The method includes the following steps. Training data is obtained. A loss function vector corresponding to the training data is calculated based on a machine learning algorithm, in which the loss function vector includes a first loss function value corresponding to a first stage of AMD and a second loss function value corresponding to a second stage of AMD. A first penalty weight is generated according to a stage difference between the first stage and the second stage. The first loss function value is updated according to the second loss function value and the first penalty weight, so as to generate an updated loss function vector. The classification model is trained according to the updated loss function vector.

Abstract: An electronic device and a method of training a classification model for age-related macular degeneration (AMD) are provided. The method includes the following steps. Training data is obtained. A loss function vector corresponding to the training data is calculated based on a machine learning algorithm, in which the loss function vector includes a first loss function value corresponding to a first classification of AMD and a second loss function value corresponding to a second classification of AMD, the first classification corresponds to a first group, and the second classification corresponds to one of the first group and a second group. The first loss function value is updated according to the second loss function value and a group penalty weight in response to the second classification corresponding to the second group to generate an updated loss function vector. The classification model is trained according to the updated loss function vector.

Abstract: A biodegradable marker pen including a barrel, a cap, and an ink reservoir. The barrel has a hollow cylindrical structure, the ink reservoir is placed in the barrel, and the cap is detachably coupled with the barrel hermetically. The barrel, the cap, and the ink reservoir comprise 2 to 10 mass percentage of a biodegradable masterbatch respectively.

Abstract: A method according to the present disclosure includes forming a bottom electrode layer over a substrate, forming an insulator layer over the bottom electrode layer, depositing a semiconductor layer over the bottom electrode layer, depositing a ferroelectric layer over the semiconductor layer, forming a top electrode layer over the ferroelectric layer, and patterning the bottom electrode layer, the insulator layer, the semiconductor layer, the ferroelectric layer, and the top electrode layer to form a memory stack. The semiconductor layer includes a plurality of portions with different thicknesses.

Abstract: A computer peripheral device is provided. The computer peripheral device is adapted to be installed in an electronic device supporting signal transmission of a first signal frequency. The computer peripheral device includes a human interface device (HID) and a bridging device. The HID includes a control unit to support signal transmission of a second signal frequency. The bridging device includes a first universal serial bus (USB) interface unit and a second USB interface unit. The first USB interface unit is adapted to be electrically connected to the electronic device, and supports signal transmission of the first signal frequency. The second USB interface unit is adapted to be electrically connected to the HID. The second USB interface unit regards the HID as a communication device class (CDC) device, instructs the control unit to generate an input signal at a timing corresponding to the first signal frequency, and transmits the input signal to the electronic device.

Abstract: A device structure includes a first series connection of a first phase change memory (PCM) switch and a second PCM switch. The first PCM switch includes a first heater line, a first PCM line, and a first contact electrode and a second contact electrode located on the first heater line. The second PCM switch includes a second heater line, a second PCM line, and a third contact electrode and a fourth contact electrode located on the second heater line. The second contact electrode is electrically connected to the third contact electrode. The fourth contact electrode is electrically grounded. One of the first contact electrode and the second contact electrode includes an radio-frequency (RF) signal input port. Another of the first contact electrode and the second contact electrode comprises an RF signal output port. The device structure may function as a combination PCM switch that decreases noise level during signal transmission.

Abstract: An embodiment phase change material switch may include a first phase change material element, a second phase change material element, a first conductor electrically connected to a first end of each of the first phase change material element and the second phase change material element such that the first conductor is configured as a first terminal of an electrical circuit having a parallel configuration, a second conductor electrically connected to a second end of each of the first phase change material element and the second phase change material element such that the second conductor is configured as a second terminal of the electrical circuit having the parallel configuration, and a heating device coupled to the first phase change material element and to the second phase change material element and configured to supply a heat pulse to the first phase change material element and to the second phase change material element.

Abstract: A device structure includes semiconductor devices located on a substrate; metal interconnect structures located in dielectric material layers overlying the semiconductor devices; and a non-Ohmic voltage-triggered switch including a first switch electrode that is electrically connected to one of the semiconductor devices through a subset of the metal interconnect structures, a second switch electrode, and a non-Ohmic switching material portion providing a non-Ohmic current-voltage characteristics and in contact with the first switch electrode and the second switch electrode. The non-Ohmic voltage-triggered switch may be used as an electrostatic discharge (ESD) switch.

Abstract: A semiconductor structure according to the present disclosure includes a conductive feature in a top portion of a substrate, a bottom electrode layer over and in electrical coupling with the conductive feature, an insulator layer over the bottom electrode layer, a semiconductor layer over the insulator layer, a ferroelectric layer over the semiconductor layer, and a top electrode layer over the ferroelectric layer. The semiconductor layer includes a plurality of portions with different thicknesses.

Abstract: In an approach, responsibility for reissuing a fetch micro-operation is allocated to a reissue queue subsequent to a cache miss corresponding to a cache and the fetch micro-operation. Responsive to higher level cache returning data to the cache, an issue selection algorithm of the issue queue is overridden to prioritize reissuing the fetch micro-operation.

Abstract: The invention provides a cancer early detection method using liquid biopsy, the cancer early detection method includes the following steps. MicroRNA expression profile database of cancer patient populations and healthy populations are established. Afterwards, an analysis model for cancer early detection is established through the following steps: a data quality control, a technical replicate merging, a calculation of normalization factors and data normalization, a biomarker feature selection, and a hyperparameter tuning. The analysis model for cancer early detection includes normalization factors, a set of biomarkers, model weights and model hyperparameters. A microRNA expression profile in a liquid biopsy sample of a subject is analyzed by the analysis model for cancer early detection to be used as a basis for an early detection of cancer.

Abstract: An analog neural network circuit includes at least one fewer layers than a number of expected layers of a neural network such that at least two cycles of feeding back outputs and applying weights occur to complete all the expected layers of the neural network. A control circuit, for example implemented using an analog oscillator, provides timing signals to control signal paths, including a feedback signal path to reuse circuitry of a layer for the at least two cycles. An analog memory is coupled to store an output of the circuitry of the layer. The analog memory is controllably coupled as part of the feedback signal path to the circuitry of the layer.

Abstract: A light source module includes a first to a fourth laser diode array and a first light combiner to a third light combiner. The first light combiner includes a plurality of first transmissive regions and a plurality of first reflective regions arranged in an alternate order along a first arrangement direction to guide a first light and a second light to the second light combiner. The second light combiner includes a plurality of second transmissive regions and a plurality of second reflective regions arranged in the alternate order along a second arrangement direction to guide first light to a third light to the third light combiner. The third light combiner includes a plurality of third transmissive regions and a third reflective region to guide the first to fourth light to be transmitted in the second direction.

Abstract: A biodegradable marker pen including a barrel, a cap, and an ink reservoir. The barrel has a hollow cylindrical structure, the ink reservoir is placed in the barrel, and the cap is detachably coupled with the barrel hermetically. The barrel, the cap, and the ink reservoir comprise 2 to 10 mass percentage of a biodegradable masterbatch respectively.

Abstract: An illumination system including a plurality of light-emitting elements, a light combining module, a first lens group, a second lens group and a wavelength conversion device is provided. The plurality of light-emitting elements provide a plurality of first light beams. The light combining module is used for combining the plurality of first light beams into a second light beam. The wavelength conversion device is used for converting the second light beam into the third light beam or reflecting the second light beam. The first lens group has a first central axis. The first lens group includes a first part and a second part which are symmetrical with respect to the first central axis and have equal areas, and a luminous flux of the second light beam passing through the first part is greater than a luminous flux passing through the second part.

Abstract: A computer-implemented process for training a neural network having a plurality of transform layers includes the following operations. Input data for one transform layer of the plurality of transform layers is transformed by the one transform layer into output data. A neural-backed decision tree is generated for the transform layer, a neural-backed decision tree. The transforming and the generating are repeated for each of the plurality of transform layers. A neural-backed decision tree map for a particular one of the plurality of transform layers maps output data of the particular one of the plurality of transform layers into a list of interpretable words from a generative search domain of facts and evidence.

Abstract: In a wire drawing method, processing stability is ensured by preventing a shape from deforming non-uniformly. The wire drawing method includes: using a first wire that includes a center member, a plurality of first peripheral wires surrounding the center member, and an outer shell disposed outside the first peripheral wires; and reducing a cross-sectional diameter of the first wire by wire drawing. A shape of a cross section perpendicular to a longitudinal direction of the first peripheral wire is a substantially isosceles trapezoidal shape including a long side in contact with the outer shell, a short side in contact with the center member, and a first oblique side and a second oblique side that are in contact with the adjacent peripheral wires.

Abstract: An illumination system including a plurality of light-emitting elements, a light combining module, a first lens group, a second lens group and a wavelength conversion device is provided. The plurality of light-emitting elements provide a plurality of first light beams. The light combining module is used for combining the plurality of first light beams into a second light beam. The wavelength conversion device is used for converting the second light beam into the third light beam or reflecting the second light beam. The first lens group has a first central axis. The first lens group includes a first part and a second part which are symmetrical with respect to the first central axis and have equal areas, and a luminous flux of the second light beam passing through the first part is greater than a luminous flux passing through the second part.

Abstract: A method for disease risk assessment includes a data acquiring step, a preprocessing step, and a determining step. In the data acquiring step, a medical record of a subject, a static physiological information of the subject measured, and a dynamic physiological information corresponding to different actions of the subject are obtained. In the preprocessing step, a terminal device is applied for integrating the aforementioned data to generate a current data. In the determining step, the current data is inputted into a prediction model for calculation, so as to generate a disease risk assessment result corresponding to the subject. The assessment result includes a disease category, an onset probability corresponding to the disease category, and an estimated time of the onset of the disease. Thus, the present invention accurately assesses the disease probability of the subject in the future for health improvement and disease prevention and postponement.