Abstract: A probe module for testing the resistivity of a conductive fiber material includes four gland spring holes in the upper end gland are uniformly formed in the bottom surface of the gland main body; one end of a pressure spring is abutted against the top of the gland spring holes, and the other end of the pressure spring contacts a conductive sheet; an outer wall of a probe frame is of an external thread structure which is matched with an internal thread structure of an internal threaded hole and threadably secured thereto; the probe frame is internally provided with a spring probe; a pressure sensor contacts the conductive sheet, and both are sleeved on an upper part of the spring probe; and the top end of the spring probe is in contact with the pressure spring, and the bottom end of the spring probe contacts a conductive fiber material sample.

Abstract: A full-ocean-depth fidelity enzymological measurement device for microbial extracellular enzyme is provided, comprising a pressure-maintaining sampling bottle, pressure-maintaining transfer equipment, a pressure-maintaining enzymological reactor, and heat preservation equipment and enzyme activity detection equipment. The pressure-maintaining enzymological reactor comprises a barrel body, a plug, polytetrafluoroethylene gaskets, an O-ring, a piston, a high-pressure straight-through valve, and a high-pressure connector. The pressure-maintaining enzymological reactor is in a closed barrel body shape and is internally provided with the piston, and the plug and the valve are arranged at each of two ends of the pressure-maintaining enzymological reactor; and the valve is connected to the pressure-maintaining transfer equipment through the high-pressure connector.

Abstract: A probe module for testing the resistivity of a conductive fiber material includes four gland spring holes in the upper end gland are uniformly formed in the bottom surface of the gland main body; one end of a pressure spring is abutted against the top of the gland spring holes, and the other end of the pressure spring contacts a conductive sheet; an outer wall of a probe frame is of an external thread structure which is matched with an internal thread structure of an internal threaded hole and threadably secured thereto; the probe frame is internally provided with a spring probe; a pressure sensor contacts the conductive sheet, and both are sleeved on an upper part of the spring probe; and the top end of the spring probe is in contact with the pressure spring, and the bottom end of the spring probe contacts a conductive fiber material sample.

Abstract: The present disclosure discloses a technique for quantitative detection of ?-galactosidase (?-GAL) based on surface-enhanced Raman spectroscopy (SERS), including the following steps: a. taking 180 ?L of each of a 5-bromo-4-chloro-3-indolyl ?-D-galactoside (BCIG) solution, a ?-GAL solution, and dimethylsulfoxide (DMSO); b. preparing a plurality of ?-GAL samples with different activities in advance; c. adding an equal volume of a colloidal gold nanoparticle dropwise to each of the plurality of standard solutions with different activities, and conducting SERS; d. mixing a seawater sample to be tested with BCIG, incubating a resulting mixture to allow a reaction, adding DMSO and a colloidal gold nanoparticle, and directly detecting SERS signals of a product and the DMSO; and e. comparing the SERS signals obtained in step d with the standard curve to obtain an activity of the seawater sample to be tested.

Abstract: The present disclosure provides a technique for quantitatively detecting alkaline phosphatase (ALP) activities in seawater and other aquatic environments, based on surface-enhanced Raman spectroscopy by taking 5-bromo-4-chloro-3-indolyl phosphate (BCIP) as a substrate and dimethyl sulfoxide (DMSO) as an internal standard. Results show that ALP activity has a good linear correlation with the intensity ratio of a characteristic Raman peak to that of the internal standard peak (600 cm?1/677 cm?1) (R2=0.977). The technique was successfully applied to detect ALP activity of a seawater sample. By extension this technique can also be used in detecting the activity of other microbial extracellular enzymes (e.g., aminopeptidase) in seawater and thus, lays a solid scientific foundation for in-situ detection of the activities of other extracellular enzymes in seawater and other aquatic environments.

Abstract: A full-ocean-depth fidelity enzymological measurement device for microbial extracellular enzyme is provided, comprising a pressure-maintaining sampling bottle, pressure-maintaining transfer equipment, a pressure-maintaining enzymological reactor, and heat preservation equipment and enzyme activity detection equipment. The pressure-maintaining enzymological reactor comprises a barrel body, a plug, polytetrafluoroethylene gaskets, an O-ring, a piston, a high-pressure straight-through valve, and a high-pressure connector. The pressure-maintaining enzymological reactor is in a closed barrel body shape and is internally provided with the piston, and the plug and the valve are arranged at each of two ends of the pressure-maintaining enzymological reactor; and the valve is connected to the pressure-maintaining transfer equipment through the high-pressure connector.

Abstract: Technologies effective to control a distribution of energy from an energy source to a first device and to a second device are generally described. In some examples, a controller may receive first device data and second device data, from the first device and the second device, respectively. The first device data may indicate first energy consumption by the first device and a first current energy quantity of the first device. The second device data may indicate second energy consumption by the second device and a second current energy quantity of the second device. The controller may control a first switch and a second switch, based on the first and second device data, to allow a first transmission of first energy from the energy source to the first device, and to interrupt a second transmission of second energy from the energy source to the second device.

Abstract: Technology is described for flexibly pricing cloud computing services. In some examples, the technology may receive at a cloud service provider a first set of information from an Internet service provider that provides an Internet service. The first set of information may relate to expected user behavior of a representative user of the Internet service provider. The technology may identify one or more computing resources employed by the Internet service provided by the Internet service provider and analyze the first set of information to determine a cycle. The cycle is a function of the computing resources expected to be employed by the representative user of the Internet service provider. The technology may compute a service fee for each instance of the cycle and allocates the service fee to the Internet service provider.

Abstract: Technologies effective to control a distribution of energy from an energy source to a first device and to a second device are generally described. In some examples, a controller may receive first device data and second device data, from the first device and the second device, respectively. The first device data may indicate first energy consumption by the first device and a first current energy quantity of the first device. The second device data may indicate second energy consumption by the second device and a second current energy quantity of the second device. The controller may control a first switch and a second switch, based on the first and second device data, to allow a first transmission of first energy from the energy source to the first device, and to interrupt a second transmission of second energy from the energy source to the second device.

Abstract: Technologies and implementations for managing cloud resources.

Abstract: Technologies to generate multimedia data are generally described. In some examples, a multimedia generator may receive initial audio data that may include audio rhythm data. The audio rhythm data may be effective to indicate a pattern of a set of beats. The multimedia generator may also compare the audio rhythm data with video rhythm data, where the video rhythm data may be effective to indicate a change of direction of a set of points in a video segment. The multimedia generator may also identify the video segment based on the comparison of the audio rhythm data with the video rhythm data. The multimedia generator may also map the video segment to at least a portion of the initial audio data to generate the multimedia data.

Abstract: An example method to determine a quality-of-experience (QoE) metric for a network communication includes receiving a media signal from the network communication, wherein the media signal includes a voice component, extracting an experience indicator from the voice component, wherein the experience indicator is a voice feature descriptive of a service quality of the network communication, evaluating the experience indicator, retrieving a quality-of-service (QoS) metric if the evaluated experience indicator reflects the service quality of the network possibly being subpar, and determining the QoE metric for the network communication based on the evaluated experience indicator and the retrieved QoS metric for the network communication.

Abstract: Technologies are generally provided for maintaining performance level of a database being migrated between different cloud-based service providers employing machine learning. In some examples, data requests submitted to an original data store/database may be submitted to a machine learning-based filter for recording and analysis. Based on the results of the data requests and the filter analyses, new key value structures for a new data store/database may be created. The filter may assign performance scores to the original data requests (made to the original data store) and data requests made to the newly-created key value structures. The filter may then compare the performance scores associated with the created key value structures to each other and to performance scores associated with the original data requests and may select the created key value structures with performance scores that are at least substantially equal to those of the original data requests for the new data store.

Abstract: An example method to determine a quality-of-experience (QoE) metric for a network communication includes receiving a media signal from the network communication, wherein the media signal includes a voice component, extracting an experience indicator from the voice component, wherein the experience indicator is a voice feature descriptive of a service quality of the network communication, evaluating the experience indicator, retrieving a quality-of-service (QoS) metric if the evaluated experience indicator reflects the service quality of the network possibly being subpar, and determining the QoE metric for the network communication based on the evaluated experience indicator and the retrieved QoS metric for the network communication.

Abstract: Examples are disclosed for facilitating recovery from failures associated with a storage array having a plurality of storage devices.

Abstract: To share content of a desktop of a local computing device, the local computing device may be configured to extract contents of each visible window of the desktop and may further, compress and encode the contents. The compressed and encoded contents may then be transmitted to a remote computing device for reconstructing windows corresponding to the visible windows on the local computing device.

Abstract: Technologies are generally described for determining a quality-of-experience (QoE) of a network communication. In some examples, a process for determining a QoE metric for a network communication includes receiving a media signal from the network communication. The process may also include extracting an experience indicator from the media signal, wherein the experience indicator corresponds to a participant's subjective usage experience associated with a service quality of the network communication, and determining the QoE metric for the network communication based on the experience indicator and a quality-of-service (QoS) metric for the network communication.

Abstract: Technologies are presented for a hybrid cloud-based service model combining separate database/separate schema, shared database/separate schema, and shared database/shared schema architectures suitable for serving multiple tenants while addressing varying security needs. Roles and security level needs of different tenants may be determined based on tenant declaration or inference from tenant attributes. Tenants may then be assigned to suitable clouds or sub-clouds based on their security level needs. In some examples, a claims-based access control authorization model such as federation may be employed to support interactions between the three different types of clouds or sub-clouds under the umbrella of a single cloud-based service provider while maintaining application and data security.

Abstract: Technology is described for flexibly pricing cloud computing services. In some examples, the technology may receive at a cloud service provider a first set of information from an Internet service provider that provides an Internet service. The first set of information may relate to expected user behavior of a representative user of the Internet service provider. The technology may identify one or more computing resources employed by the Internet service provided by the Internet service provider and analyze the first set of information to determine a cycle. The cycle is a function of the computing resources expected to be employed by the representative user of the Internet service provider. The technology may compute a service fee for each instance of the cycle and allocates the service fee to the Internet service provider.

Abstract: Technologies are generally described for methods, instructions, and client applications for device discovery in a ubiquitous computing environment. In some examples, the methods, instructions, and client applications may facilitate the organization of features of devices in a ubiquitous computing environment into a series of hierarchical hash numbers, the ordering of the hierarchical hash numbers corresponding to the respective devices, and the searching for a particular one of the devices by attempting to match hashed search criteria to the ordered hierarchical hash numbers at one of the devices in the ubiquitous computing environment.