Abstract: A molecular marker for identifying DNA methylation and thereby detecting the benignity or malignancy of a lung nodule is disclosed. The molecular marker for identifying DNA methylation includes the sequence of, or the completely complementary sequence to, SEQ ID NO:6 or a continuous fragment of at least 55% of the full length of the sequence of, or the completely complementary sequence to, SEQ ID NO:6. Also disclosed are applications of the molecular marker for identifying DNA methylation, including a corresponding detection reagent kit and a corresponding detection method. The disclosed molecular marker combinations for identifying DNA methylation are highly correlated to lung cancer, are highly sensitive and specific when used to detect the benignity or malignancy of a lung nodule, and can increase the detection rate of malignant lung nodules while lowering the false positive rate.

Abstract: A stage of sleep is easily estimated. A sleep estimation device includes a first acquisition unit configured to acquire blood flow data, a generation unit configured to generate a frequency spectrum of the blood flow data by performing frequency analysis processing on the blood flow data, and a first determination unit configured to determine a stage of sleep of a subject based on the frequency spectrum.

Abstract: A method and an apparatus for identifying an abnormal usage of an electronic device are provided. A usage behavior of the electronic device may be monitored. Usage information associated with the usage behavior may be obtained. The usage information may be provided to a personal usage model established for a user of the electronic device. An abnormal usage of the electronic device may be determined based at least on the usage information through the personal usage model. A notification of the abnormal usage may be generated.

Abstract: Methods for automatic selection of degrees of parallelism for efficient execution of queries in a database system are performed by systems and devices. An incoming query associated with a query system is received and features of the incoming query are determined. A system state of the query system and a set of executing queries are also determined, along with a query state of each executing query in the set. At runtime of the incoming query, allocation of a degree of parallelism for executing the query is determined by calculating different possible execution times for the incoming query at least partially concurrently with the set of executing queries. Execution times are calculated for different parallel thread options and based on query features, system state, or query states of executing queries. The execution of the incoming query is initialized with the parallel thread option corresponding to a specific execution completion time.

Abstract: A method and an apparatus for identifying an abnormal usage of an electronic device are provided. A usage behavior of the electronic device may be monitored. Usage information associated with the usage behavior may be obtained. The usage information may be provided to a personal usage model established for a user of the electronic device. An abnormal usage of the electronic device may be determined based at least on the usage information through the personal usage model. A notification of the abnormal usage may be generated.

Abstract: The present invention discloses a universal non-invasive blood glucose estimation method based on time series analysis, which comprises 5 steps, i.e., data input and preprocessing, features screening, establishment of single-feature model based on time series analysis, multi-feature fusion, and non-invasive blood glucose estimation. During non-invasive blood glucose estimation, new non-invasive test data is inputted, and the blood glucose estimation series is calculated using related feature information obtained through modeling, single-feature model, and multi-feature fusion model. The estimation method provided in the present invention is easy to execute, and can overcome the delay between changes of physiological parameters of human body and changes of blood glucose, and thereby can obtain more accurate non-invasive blood glucose test results. The estimation method is universal and is applicable to different non-invasive blood glucose monitoring methods.

Abstract: A multi-sensor non-invasive blood glucose monitoring instrument based on impedance spectroscopy-optical method, which belongs to a blood glucose measuring instrument for human body. The blood glucose monitoring instrument comprises a detection probe, a microprocessor, a display unit and a storage unit. The detection probe comprises a temperature and humidity sensor, an LED array, a photoelectric sensor, a pair of low-frequency electrodes, and a pair of high-frequency electrodes. The high-frequency electrode employs parallel electrodes, a matching inductor is directly soldered to the positive electrode or negative electrode of the electrode, and a shielding electrode is provided around the high-frequency electrode. The distance between the two low-frequency electrodes is 1 cm-2 m, and the low-frequency electrodes can test the low-frequency impedance of the tissue stably.

Abstract: Methods for automatic selection of degrees of parallelism for efficient execution of queries in a database system are performed by systems and devices. An incoming query associated with a query system is received and features of the incoming query are determined. A system state of the query system and a set of executing queries are also determined, along with a query state of each executing query in the set. At runtime of the incoming query, allocation of a degree of parallelism for executing the query is determined by calculating different possible execution times for the incoming query at least partially concurrently with the set of executing queries. Execution times are calculated for different parallel thread options and based on query features, system state, or query states of executing queries. The execution of the incoming query is initialized with the parallel thread option corresponding to a specific execution completion time.

Abstract: The present invention discloses a universal non-invasive blood glucose estimation method based on time series analysis, which comprises 5 steps, i.e., data input and preprocessing, features screening, establishment of single-feature model based on time series analysis, multi-feature fusion, and non-invasive blood glucose estimation. During non-invasive blood glucose estimation, new non-invasive test data is inputted, and the blood glucose estimation series is calculated using related feature information obtained through modeling, single-feature model, and multi-feature fusion model. The estimation method provided in the present invention is easy to execute, and can overcome the delay between changes of physiological parameters of human body and changes of blood glucose, and thereby can obtain more accurate non-invasive blood glucose test results. The estimation method is universal and is applicable to different non-invasive blood glucose monitoring methods.

Abstract: A multi-sensor non-invasive blood glucose monitoring instrument based on impedance spectroscopy-optical method, which belongs to a blood glucose measuring instrument for human body. The blood glucose monitoring instrument comprises a detection probe, a microprocessor, a display unit and a storage unit. The detection probe comprises a temperature and humidity sensor, an LED array, a photoelectric sensor, a pair of low-frequency electrodes, and a pair of high-frequency electrodes. The high-frequency electrode employs parallel electrodes, a matching inductor is directly soldered to the positive electrode or negative electrode of the electrode, and a shielding electrode is provided around the high-frequency electrode. The distance between the two low-frequency electrodes is 1 cm-2 m, and the low-frequency electrodes can test the low-frequency impedance of the tissue stably.