Abstract: Semiconductor structures and methods of forming the same are provided. A method according to the present disclosure includes forming a stack of epitaxial layers over a substrate, forming a first fin-like structure and a second fin-like structure from the stack, forming an isolation feature between the first fin-like structure and the second fin-like structure, forming a cladding layer over the first fin-like structure and the second fin-like structure, conformally depositing a first dielectric layer over the cladding layer, depositing a second dielectric layer over the first dielectric layer, planarizing the first dielectric layer and the second dielectric layer until the cladding layer are exposed, performing an etch process to etch the second dielectric layer to form a helmet recess, performing a trimming process to trim the first dielectric layer to widen the helmet recess, and depositing a helmet feature in the widened helmet recess.

Abstract: Disclosed is a diamine compound represented by Formula (1), in which R1, R2, R3, R4, R5, X1, X2, X3, X4, m, n, a, b, c, and d are as defined herein. Also disclosed are a method for manufacturing the diamine compound, a composition including the diamine compound having a (chain alkoxy-methylene) phenyl group or a (hydroxyl-methylene) phenyl group, and a polymer including the (chain alkoxy-methylene) phenyl group or the (hydroxyl-methylene) phenyl group.

Abstract: Semiconductor structures and methods are provided. A semiconductor structure according to the present disclosure includes a first active region extending lengthwise along a first direction and having a first width along a second direction perpendicular to the first direction, a second active region extending lengthwise along the first direction and having a second width along the second direction, and an epitaxial feature sandwiched between the first active region and the second active region along the first direction. The first width is greater than the second width.

Abstract: A knob-driven adjusting mechanism has two fastening belts, one adjusting device, two base seats and two shafts. The fastening belt goes through a long groove. The fastening belt is formed with a tooth row on the side of the long groove. The adjusting device has a shell seat and a knob, and each fastening belt respectively goes through the shell seat. The knob is configured on the shell seat in a rotary form to drive the fastening belts. Each base seat is respectively used for the two side parts configured on an object. The base seat has two protruding support parts. Each shaft is respectively configured on each base seat. The two ends of the shaft respectively goes into each support part in the axial direction. Each shaft is respectively connected to each fastening belt, so that each fastening belt can respectively rotate in relation to the base seat.

Abstract: An atomization device and a method of predicting atomization time for the same are provided. The atomization device includes a control module, an atomization module and a breathing sensing module. The method includes: configuring the breath sensing module to detect inhalations of a user using the atomization device, so as to generate initial breath data correspondingly; and configuring the control module to perform: comparing inhalation data of the initial breath data with a valid inhalation standard to obtain valid inhalation data and filter noise; statistically analyzing the valid inhalation data to generate a predicted value of inhalation time; calculating an atomization time according to the predicted value of the inhalation time; and generating a driving signal to drive the atomization module to perform atomization according to the atomization time.

Abstract: A first layer is formed over a substrate; a second layer is formed over the first layer; and a third layer is formed over the second layer. The first and third layers each have a first semiconductor element; the second layer has a second semiconductor element different from the first semiconductor element. The second layer has the second semiconductor element at a first concentration in a first region and at a second concentration in a second region of the second layer. A source/drain trench is formed in a region of the stack to expose side surfaces of the layers. A first portion of the second layer is removed from the exposed side surface to form a gap between the first and the third layers. A spacer is formed in the gap. A source/drain feature is formed in the source/drain trench and on a sidewall of the spacer.

Abstract: An electronic device and a method for protecting an equipment from voltage surge damage are provided. The method includes: electrically connecting an input terminal of a one-way pass circuit to a first equipment and electrically connecting an output terminal of the one-way pass circuit to a second equipment; electrically connecting an over-voltage check circuit to the output terminal and a regenerative resistor circuit, wherein the regenerative resistor circuit includes a resistor; detecting, by the over-voltage check circuit, a voltage of the output terminal; and electrically, by the over-voltage check circuit, connecting the output terminal to the resistor in response to the voltage being greater than a voltage threshold.

Abstract: The present disclosure is directed to a semiconductor device. The semiconductor device includes a substrate, an insulating layer disposed on the substrate, a first conductive feature disposed in the insulating layer, and a capacitor structure disposed on the insulating layer. The capacitor structure includes a first electrode, a first dielectric layer, a second electrode, a second dielectric layer, and a third electrode sequentially stacked. The semiconductor device also includes a first via connected to the first electrode and the third electrode, a second via connected to the second electrode, and a third via connected to the first conductive feature. A part of the first via is disposed in the insulating layer. A portion of the first conductive feature is directly under the capacitor structure.

Abstract: A knob-driven adjusting mechanism has two fastening belts, one adjusting device, two base seats and two shafts. The fastening belt goes through a long groove. The fastening belt is formed with a tooth row on the side of the long groove. The adjusting device has a shell seat and a knob, and each fastening belt respectively goes through the shell seat. The knob is configured on the shell seat in a rotary form to drive the fastening belts. Each base seat is respectively used for the two side parts configured on an object. The base seat has two protruding support parts. Each shaft is respectively configured on each base seat. The two ends of the shaft respectively goes into each support part in the axial direction. Each shaft is respectively connected to each fastening belt, so that each fastening belt can respectively rotate in relation to the base seat.

Abstract: A method of fabricating a magnetic component structure with thermal conductive filler, including steps of providing a mold with a coil mounted therein, potting the mold with a thermal conductive material to form a thermal conductive filler encapsulating at least a portion of said coil, releasing the thermal conductive filler and the coil from the mold, and combining the thermal conductive filler with magnetic cores to form a magnetic component structure.

Abstract: The disclosure provides a laser lighting system. The laser lighting system includes a microcontroller, a motor, a fluorescent color wheel and a detection circuit. The motor drives the fluorescent color wheel to rotate. The detection circuit is configured to detect a detected signal from the fluorescent color wheel. When a synchronous signal changes, the microcontroller compares the detected signal to the synchronous signal, in order to control the output current signal for driving the motor, and to decrease the phase variation between the detected signal and the synchronous signal until the phase difference between the detected signal and the synchronous signal maintain at a constant value.

Abstract: An magnetic component structure with thermal conductive filler is provided in the present invention, including an upper magnetic core, a lower magnetic core combining with the upper magnetic core to form a casing with a front opening and a rear opening, and a coil mounted in the casing, where two terminals of the coil extend outwardly from the front opening, and a thermal conductive filler filling between the casing and the coil in the casing.

Abstract: A computer-implemented method for detecting lung abnormalities is provided. The method includes the steps of: acquiring a chest image of a subject; labeling one or more regions of interest (ROIs) in the chest image; segmenting a fine-grained boundary of each of the labeled ROIs; generating a plurality of output matrixes for each of the segmented ROIs; sorting a plurality of prediction scores obtained in the output matrixes, and generating a plurality of recommendations of potential abnormalities for each of the ROIs; and outputting the recommendations, A smart imagery framing and truthing (SIFT) system for implementing the method is also provided.

Abstract: A system and method for patient movement detection and fall monitoring to address the need to proactively monitor patients to detect abnormal movements, in-room activity, and other movements associated with providing in-room care. The system comprises an environmental model which can be used to track the position and movement of a patient and a classifier network configured to receive movement data and classify a patient's movement as normal or abnormal movement. In addition to monitoring in-room activity, the system and method create safe zones within the room to ensure patients are proactively monitor in the event of a seizure, fall, or other unintended activity. The system will record and store in-room video in a secure environment. Videos and notifications are automatically sent to designated staff as events occur.

Abstract: A system and method for quantifying Alzheimer's disease (AD) risk using one or more interferometric micro-Doppler radars (IMDRs) and deep learning artificial intelligence to distinguish between cognitively unimpaired individuals and persons with AD based on gait analysis. The system utilizes IMDR to capture signals from both radial and transversal movement in three-dimensional space to further increase the accuracy for human gait estimation. New deep learning technologies are designed to complement traditional machine learning involving separate feature extraction followed-up with classification to process radar signature from different views including side, front, depth, limbs, and whole body where some motion patterns are not easily describable. The disclosed cross-talk deep model is the first to apply deep learning to learn IMDR signatures from two perpendicular directions jointly from both healthy and unhealthy individuals.

Abstract: A system and method for predicting mild cognitive impairment (MCI) related diagnosis and prognosis utilizing deep learning. More specifically, the system and method produce predictions of MCI conversions to Alzheimer's/dementia and prognosis related thereof. Using available medical imaging and non-imaging data a diagnosis and prognosis model is a deep learned model trained using transfer learning. An MCI-DAP server may then receive a request from a clinician to process predictions related to a target patient's diagnosis or prognosis. The target patient's medical data is retrieved and used to create a model for the target patient. Then details of the target patient's model and the diagnosis and prognosis model are compared, a prediction is generated, and the prediction is returned to the clinician. As new medical data becomes available it is fed into the respective model to improve accuracy and update predictions.

Abstract: A system and method for patient movement detection and fall monitoring to address the need to proactively monitor patients to detect abnormal movements, in-room activity, and other movements associated with providing in-room care. The system comprises an environmental model which can be used to track the position and movement of a patient and a classifier network configured to receive movement data and classify a patient's movement as normal or abnormal movement. In addition to monitoring in-room activity, the system and method create safe zones within the room to ensure patients are proactively monitor in the event of a seizure, fall, or other unintended activity. The system will record and store in-room video in a secure environment. Videos and notifications are automatically sent to designated staff as events occur.

Abstract: A system and method for quantifying Alzheimer's disease (AD) risk using one or more interferometric micro-Doppler radars (IMDRs) and deep learning artificial intelligence to distinguish between cognitively unimpaired individuals and persons with AD based on gait analysis. The system utilizes IMDR to capture signals from both radial and transversal movement in three-dimensional space to further increase the accuracy for human gait estimation. New deep learning technologies are designed to complement traditional machine learning involving separate feature extraction followed-up with classification to process radar signature from different views including side, front, depth, limbs, and whole body where some motion patterns are not easily describable. The disclosed cross-talk deep model is the first to apply deep learning to learn IMDR signatures from two perpendicular directions jointly from both healthy and unhealthy individuals.

Abstract: A silenced guide rail includes a guide rail body, a guide block, and a slideway. The guide rail body includes a beam piece, and the beam piece includes an abutting end. The guide block is connected to one end of the guide rail body, and the guide block includes a docking strip. The docking strip includes a corresponding abutting end corresponding to the abutting end. The abutting end includes a short side and a bevel. A shape of the corresponding abutting end corresponds to a shape formed by the short side and the bevel. The slideway is formed on the beam piece and the docking strip. Therefore, the present disclosure reduces an abnormal noise generated when a guide post passes through a connection between the guide rail body and the guide block, and an effect of eliminating all or most of the abnormal noise may be achieved.

Abstract: A system and method for predicting mild cognitive impairment (MCI) related diagnosis and prognosis utilizing hybrid machine learning. More specifically, the system and method produce predictions of MCI conversions to dementia and prognosis related thereof. Using available medical imaging and non-imaging data a diagnosis and prognosis model is trained using transfer learning. A platform may then receive a request from a clinician for a target patient's diagnosis or prognosis. The target patient's medical data is retrieved and used to create a model for the target patient. Then details of the target patient's model and the diagnosis and prognosis model are compared, a prediction is generated, and the prediction is returned to the clinician. As new medical data becomes available it is fed into the respective model to improve accuracy and update predictions.