Abstract: The present disclosure describes a method for memory cell placement. The method can include placing a memory cell region in a layout area and placing a well pick-up region and a first power supply routing region along a first side of the memory cell region. The method also includes placing a second power supply routing region and a bitline jumper routing region along a second side of the memory cell region, where the second side is on an opposite side to that of the first side. The method further includes placing a device region along the second side of the memory cell region, where the bitline jumper routing region is between the second power supply routing region and the device region.

Abstract: The present invention provides a silicon capacitor structure, including a substrate, an interlayer dielectric (ILD) layer on the substrate, a capacitor recess extending from a surface of the ILD layer into the substrate, a capacitor in the capacitor recess, wherein the capacitor includes a bottom electrode on a surface of the capacitor recess, a capacitive dielectric layer on a surface of the bottom electrode, and a top electrode on a surface of the capacitive dielectric layer and filling up the capacitor recess.

Abstract: An enhancement mode high electron mobility transistor (HEMT) includes a group III-V semiconductor body, a group III-V barrier layer and a gate structure. The group III-V barrier layer is disposed on the group III-V semiconductor body, and the gate structure is a stacked structure disposed on the group III-V barrier layer. The gate structure includes a gate dielectric and a group III-V gate layer disposed on the gate dielectric, and the thickness of the gate dielectric is between 15 nm to 25 nm.

Abstract: A method of forming a semiconductor device includes providing a substrate including a circuit region and a well strap region, forming a mandrel extending from the circuit region to the well strap region, depositing mandrel spacers on sidewalls of the mandrel, removing the mandrel in the circuit region, while the mandrel in the well strap region remains intact, patterning the substrate with the mandrel spacers in the circuit region and the mandrel in the well strap region as an etch mask, thereby forming at least a first fin in the circuit region and a second fin in the well strap region, and epitaxially growing a first epitaxial feature over the first fin in the circuit region and a second epitaxial feature over the second fin in the well strap region. A width of the second fin is larger than a width of the first fin.

Abstract: A semiconductor structure includes a first tier, a redistribution circuit structure, and a second tier. The first tier includes at least one first die. The redistribution circuit structure is disposed on the first tier and electrically coupled to the at least one first die, where the redistribution circuit structure has a multi-layer structure and includes a vertical connection structure continuously extending from a first side of the redistribution circuit structure to a second side of the redistribution circuit structure, and the first side is opposite to the second side along a stacking direction of the first tier and the redistribution circuit structure. The second tier includes a plurality of second dies, and is disposed on and electrically coupled to the redistribution circuit structure.

Abstract: A method for fabricating a high electron mobility transistor (HEMT) includes the steps of forming a buffer layer on a substrate, forming a barrier layer on the buffer layer, forming a p-type semiconductor layer on the barrier layer, forming a gate electrode layer on the p-type semiconductor layer, and patterning the gate electrode layer to form a gate electrode. Preferably, the gate electrode includes an inclined sidewall.

Abstract: An optical water-quality detection apparatus includes a detection device, a biofilm-inhibition light source, a detection light source and a sensor. The detection device includes a detection chamber. The biofilm-inhibition light source is disposed outside the detection chamber and configured to emit biofilm-inhibition light. The detection light source is disposed outside the detection chamber and configured to emit detection light. The sensor is configured to sense the detection light penetrating the detection chamber. A beam of the detection light and a beam of the inhibition light overlaps as penetrating the detection chamber.

Abstract: The present invention provides a method of improving the phenomenon of the glomerular sclerosis and mononuclear leukocyte infiltration around renal tissues, and increasing the renal function by administering the probiotic bacterium of a Parabacteroides goldsteinii to a subject in need to inhibit the occurrence of chronic kidney disease. The Parabacteroides goldsteinii can also effectively modulate the gene expression level of MCP-1, IL-1?, COL3A, COL6A1, ACAA2, PPAR-?, CPT1, and PGC-1? in kidney tissues to reduce kidney inflammation and renal fibrosis and enhance the mitochondria activity of kidney cells. Therefore, the Parabacteroides goldsteinii of the present invention can be utilized in pharmaceutical compositions for inhibiting or treating chronic kidney diseases.

Abstract: A power generation prediction system using a first and second neural networks is provided, and the first neural network is connected to the second neural network. The first neural network receives first input data, and generates the amount prediction data according to the first input data. The first input data is used to determine amount prediction data, and the amount prediction data is used to determine power generation prediction data. The second neural network receives the amount prediction data, and calculates the power generation prediction data according to the amount prediction data. When a device in a selected area is deteriorated or reinstalled, the second neural network is fine-tuned and trained again. The power generation prediction data is a power generation prediction bound having a maximum and minimum power generation prediction values, and thus the power deployment terminal in a power grid can deploy power more precisely.

Abstract: The present invention provides a method of preventing or treating obesity by administering the probiotic bacterium of a novel Parabacteroides goldsteinii strain to the subject in need. The novel Parabacteroides goldsteinii strain is derived from the gastrointestinal tract of an individual and has better aero-tolerance and better acid-tolerance therefore it has better environmental tolerance to adapt to different living environments. The novel Parabacteroides goldsteinii strain not only can effectively prevent the weight gain of the individual, but also can effectively slow down the weight gain of the obese individual; therefore, the novel Parabacteroides goldsteinii strain of the present invention can be used for preparing a pharmaceutical composition for prevention and/or treating obesity.

Abstract: The present disclosure provides a use of Parabacteroides goldsteinii for treating lung cancer.

Abstract: A power generation prediction system using a first neural network and a second neural network is provided, and the first neural network is connected to the second neural network. The first neural network receives first input data, and generates the amount prediction data according to the first input data. The first input data is used to determine amount prediction data, and the amount prediction data is used to determine power generation prediction data. The second neural network receives the amount prediction data, and calculates the power generation prediction data according to the amount prediction data. When a device in a selected area is deteriorated or reinstalled, the second neural network is fine-tuned and trained again.

Abstract: The present disclosure provides a use of Parabacteroides goldsteinii for treating lung cancer.

Abstract: A power generation prediction system using a first and second neural networks is provided, and the first neural network is connected to the second neural network. The first neural network receives first input data, and generates the amount prediction data according to the first input data. The first input data is used to determine amount prediction data, and the amount prediction data is used to determine power generation prediction data. The second neural network receives the amount prediction data, and calculates the power generation prediction data according to the amount prediction data. When a device in a selected area is deteriorated or reinstalled, the second neural network is fine-tuned and trained again. The power generation prediction data is a power generation prediction bound having a maximum and minimum power generation prediction values, and thus the power deployment terminal in a power grid can deploy power more precisely.

Abstract: The present invention provides a method of preventing or treating obesity by administering the probiotic bacterium of a novel Parabacteroides goldsteinii strain to the subject in need. The novel Parabacteroides goldsteinii strain is derived from the gastrointestinal tract of an individual and has better aero-tolerance and better acid-tolerance therefore it has better environmental tolerance to adapt to different living environments. The novel Parabacteroides goldsteinii strain not only can effectively prevent the weight gain of the individual, but also can effectively slow down the weight gain of the obese individual; therefore, the novel Parabacteroides goldsteinii strain of the present invention can be used for preparing a pharmaceutical composition for prevention and/or treating obesity.

Abstract: The present invention provides a method of improving the phenomenon of the glomerular sclerosis and mononuclear leukocyte infiltration around renal tissues, and increasing the renal function by administering the probiotic bacterium of a Parabacteroides goldsteinii to a subject in need to inhibit the occurrence of chronic kidney disease. The Parabacteroides goldsteinii can also effectively modulate the gene expression level of MCP-1, IL-1?, COL3A, COL6A1, ACAA2, PPAR-?, CPT1, and PGC-1? in kidney tissues to reduce kidney inflammation and renal fibrosis and enhance the mitochondria activity of kidney cells. Therefore, the Parabacteroides goldsteinii of the present invention can be utilized in pharmaceutical compositions for inhibiting or treating chronic kidney diseases.

Abstract: The present invention provides a method to treat asthma and airway allergy by administering the dipeptide cyclo tyrosine-valine or a related cyclodipeptide compound to a subject in need thereof. Cyclo tyrosine-valine or the related cyclodipeptide compound reduces Th2 cell activation, airway hyperresponsiveness, accumulation of immune cells in bronchoalveolar fluid, and allergen-specific antibody production in an animal or human subject. The compound can therefore be used to treat asthma and airway allergy.

Abstract: A surface treatment method for a casing is disclosed, the casing being formed by the outer surface and four sidewalls of the casing. The surface treatment method includes a heat transferring film formed on the casing by a vacuum heat transfer process or a paint-drying process and a surface pattern layer formed on a portion of a surface of the heat transferring film opposite to the outer surface by a digital inkjet printer applying three different types of UV-curable ink.

Abstract: A housing for an electronic device in the home or car includes a substrate and a composite layer. The composite layer is formed on a surface of the substrate. The composite layer includes an adhesive layer, an ink layer, and a protective layer. The adhesive layer is fully attached to the surface of the substrate. The ink layer is formed on a surface of the adhesive layer away from the substrate. The protective layer is formed on a surface of the ink layer away from the adhesive layer and the process is completed by half-curing and full curing processes. A method for making the housing also is provided.

Abstract: A power generation prediction system using a first neural network and a second neural network is provided, and the first neural network is connected to the second neural network. The first neural network receives first input data, and generates the amount prediction data according to the first input data. The first input data is used to determine amount prediction data, and the amount prediction data is used to determine power generation prediction data. The second neural network receives the amount prediction data, and calculates the power generation prediction data according to the amount prediction data. When a device in a selected area is deteriorated or reinstalled, the second neural network is fine-tuned and trained again.