Abstract: The rotating electric machine (1) having a housing comprising first (14) and second (15) clamp members and an inner face, a stator comprising a stator body (41) clamped between the first and second clamp members and having an outer face extending opposite the inner face together defining an annular cooling chamber (21) surrounding the stator body, the stator body comprising a longitudinal stack of stator sheets (410), each stator pack of which comprises an annular core having an outer circumference and at least two radially centrifugal protuberances projecting from the outer circumference of the annular core, in the annular cooling chamber, and diametrically opposite one another, the stator sheets of the longitudinal stack being identical and two adjacent stator sheet of the longitudinal stack being angularly offset from each other such that the respective protuberances thereof do not extend opposite one another.

Abstract: The invention relates to a rotating electrical machine (1) comprising a housing (10) including two bearings (52, 53), a rotor shaft (5) mounted to rotate freely in the housing via the bearings, a rotor (6) clamped to the rotor shaft so as to rotate the rotor shaft and comprising first (62) and second (63) axial end faces, and a cooling circuit comprising a coolant supply duct (51) arranged coaxially in the rotor shaft, and a radially oriented feed duct (54) arranged in the rotor shaft and in fluid communication with the supply duct and the rotor, characterized in that the cooling circuit further comprises a cooling chamber (61) in fluid communication with the feed duct, extending axially between the rotor and the rotor shaft, opening onto the first and second axial end faces and delimited radially by an angular portion of an external surface (55) of the rotor shaft and an angular portion (65) of an internal surface of the rotor, the two portions extending opposite and at a distance from one another.

Abstract: The present disclosure provides a culture device and a preparation method for a cell membrane, and relates to the field of cell culture technology. The culture device for a cell membrane includes a semiconductor refrigerator, and one or more culture vessels configured to culture a cell membrane. The semiconductor refrigerator includes a first insulating substrate, a second insulating substrate, and at least one semiconductor thermocouple disposed between the first insulating substrate and the second insulating substrate. The one or more culture vessels are disposed on a side of the first insulating substrate away from the second insulating substrate.

Abstract: Some embodiments of the disclosure provide an artificial neural network system for recognizing a lesion in a fundus image. The system includes a pre-processing module configured to pre-process a target fundus image and a reference fundus image taken from one person separately, a first neural network (12) configured to generate a first advanced feature set from the target fundus image, a second neural network (22) configured to generate a second advanced feature set from the reference fundus image, a feature combination module (13) configured to combine the first advanced feature set and the second advanced feature set to form a feature combination set, and a third neural network (14) configured to generate, according to the feature combination set, a judgmental result of lesions.

Abstract: The present disclosure provides pilocarpine ionic liquid analogs useful in the treatment of ophthalmological disorders such as glaucoma.

Abstract: Some embodiments of the disclosure provide a diabetic retinopathy recognition system (S) based on fundus image. According to an embodiment, the system includes an image acquisition apparatus (1) configured to collect fundus images. The fundus images include target fundus images and reference fundus images taken from a person. The system further includes an automatic recognition apparatus (2) configured to process the fundus images from the image acquisition apparatus by using a deep learning method. The automatic recognition apparatus automatically determines whether a fundus image has a lesion and outputs the diagnostic result. According to another embodiment, the diabetic retinopathy recognition system (S) utilizes a deep learning method to automatically determine the fundus images and output the diagnostic result.

Abstract: Provided is a composite sheet that is particularly useful as an AQDL component in absorbent articles. The composite sheet includes a fluid acquisition component and an airlaid component. The airlaid component may include one or more airlaid layers that are successively formed overlying each other. Each of the airlaid layers are adjacent to, and in direct contact with, immediately adjacent layers of the airlaid component so that adjacent layers are in fluid communication with respect to each other. The fluid acquisition component includes a nonwoven fabric comprising a carded nonwoven fabric comprised of a plurality of staple fibers that are air through bonded to each other to form a coherent nonwoven fabric. The airlaid layer(s) include a blend of cellulose and non-cellulose staple fibers. The staple fibers may be bicomponent fibers having a polyethyelene sheath and a polypropylene or polyethylene terephthalate core, and mixtures of such fibers.

Abstract: A method is provided for producing a composition comprising chitosan and water, comprising dissolving chitosan powder in an ionic liquid, to prepare a first composition comprising chitosan and ionic liquid; and contacting the first composition with water under conditions sufficient to solvent-exchange all or substantially all of the ionic liquid with water; to form a composition comprising chitosan and water. Compositions produced thereby and methods of using the compositions are provided.

Abstract: The present disclosure provides an artificial neural network system for identifying a lesion in a retinal fundus image that comprises a pre-processing module configured to separately pre-process a target retinal fundus image and a reference retinal fundus image taken from a same person; a first neural network (12) configured to generate a first advanced feature set from the target retinal fundus image; a second neural network (22) configured to generate a second advanced feature set from the reference retinal fundus image; a feature combination module (13) configured to combine the first advanced feature set and the second advanced feature set to form a feature combination set; and a third neural network (14) configured to generate, according to the feature combination set, a diagnosis result.

Abstract: A photovoltaic cell array and a photovoltaic module are provided. The photovoltaic cell array includes multiple solar cells and a flexible metal conductive strip. Each of an upper surface and a lower surface of each solar cell is arranged with a segment electrode. In adjacent two solar cells which are respectively referred to as a first solar cell and a second solar cell, the segment electrode on the lower surface of the first solar cell is connected with the segment electrode on the upper surface of the second solar cell by the flexible metal conductive strip. The photovoltaic cell array has a stack structure in a normal direction of the upper surface of the solar cell, and a connection region at which the segment electrode is connected with the flexible metal conductive strip is located outside an overlapped region of the stack structure.

Abstract: Some embodiments of the disclosure provide a diabetic retinopathy recognition system (S) based on fundus image. According to an embodiment, the system includes an image acquisition apparatus (1) configured to collect fundus images. The fundus images include target fundus images and reference fundus images taken from a person. The system further includes an automatic recognition apparatus (2) configured to process the fundus images from the image acquisition apparatus by using a deep learning method. The automatic recognition apparatus automatically determines whether a fundus image has a lesion and outputs the diagnostic result. According to another embodiment, the diabetic retinopathy recognition system (S) utilizes a deep learning method to automatically determine the fundus images and output the diagnostic result.

Abstract: A series-connected solar cell module is provided, which includes multiple solar cell units. each of the multiple solar cell units comprises multiple solar cells. In each of the multiple solar cell units, a back surface of one of two adjacent solar cells is electrically connected to a front surface of the other of the two adjacent solar cells through a conductive material. A first insulating layer and a second insulating layer are provided at positions where the conductive material is in close contact with the two adjacent solar cells. Therefore, adjacent solar cells can be arranged in close contact with each other, to achieve a seamless contact, thereby increasing the effective area of the series-connected solar cell module.

Abstract: Embodiments include predicting transactions by an entity and identifying promotions to offer the entity. Aspects include parsing a plurality of event records corresponding to a plurality of entities respectively. Aspects also include identifying a sequence of events corresponding to the entity and discretizing time durations and event values of the sequence of events into discrete symbolic values. Aspects further include generating a temporal pattern of events in the sequence of events, the temporal pattern including a sequence of transaction-symbols representative of the time duration and the event value of the events in the sequence of events of the entity and predicting a next transaction based on the temporal pattern.

Abstract: Embodiments include predicting transactions by an entity and identifying promotions to offer the entity. Aspects include parsing a plurality of event records corresponding to a plurality of entities respectively. Aspects also include identifying a sequence of events corresponding to the entity and discretizing time intervals and event values of the sequence of events into discrete symbolic values. Aspects further include generating a temporal pattern of events in the sequence of events, the temporal pattern including a sequence of transaction-symbols representative of the time interval and the event value of the events in the sequence of events of the entity and predicting a next transaction based on the temporal pattern.

Abstract: A model training method includes: constructing a mapping model between original color information values and standard color information values of images with a coefficient matrix; establishing an objective function of the mapping model based on a regular term of a variable exponent; determining original color information values and standard color information values of a plurality of sample images; and calculating the objective function from the original color information values and the standard color information values of the plurality of sample images to determine the coefficient matrix.

Abstract: The present disclosure relates to solutions and methods of preparing lyophilized formulations of factor Xa (fXa) antidotes. A suitable aqueous formulation suitable for lyophilization can include a fXa antidote, a solubilizing agent, a stabilizer, and a crystalline component, wherein the formulation does not collapse during lyophilization.

Abstract: The present disclosure relates to a cell sheet protection solution, such as a stem cell sheet protection solution, such as a mesenchymal stem cell sheet protection solution. The present disclosure also relates to use of the cell sheet protection solution in storage and transportation of the cell sheet.

Abstract: Embodiments of this application provide a terminal configuration method and an apparatus. When determining that a SIM card in a terminal is powered on, a wireless communications module reads SIM card information such as some or all of an international mobile subscriber identity IMSI, a service provider name SPN, or a global identifier ID GID in the SIM card from the SIM card. Then, the SIM card information obtained by the wireless communications module is sent to an application processor. The application processor obtains an operator parameter based on the SIM card information reported by the wireless communications module, and configures the terminal. Therefore, at a moment at which the SIM card is powered on, the wireless communications module obtains the SIM card information from the SIM card, so that a timing for the UE to obtain the IMSI is advanced.

Abstract: The present disclosure relates to solutions and methods of preparing lyophilized formulations of factor Xa (fXa) antidotes. A suitable aqueous formulation suitable for lyophilization can include a fXa antidote, a solubilizing agent, a stabilizer, and a crystalline component, wherein the formulation does not collapse during lyophilization.