Abstract: A vapor chamber includes: a body, including an accommodating cavity; a wick structure layer, located in the accommodating cavity; and a wick structure channel, located in the accommodating cavity. The wick structure channel is at least partially located outside the wick structure layer; or, the wick structure channel is located in the wick structure layer, and fluid resistance of the wick structure channel is smaller than fluid resistance of the wick structure layer.

Abstract: A computer-implemented method is presented for fingerprinting network services. The method includes: receiving a plurality of banners, where each banner contains text data describing a network service accessible at a port on a networked device in a computer network; generating a set of embeddings from the plurality of banners using a large language model, where each embedding in the set of embeddings represents one or more banners from the plurality of banners clustering the embeddings based on distance between the embeddings using a clustering method, thereby forming a group of clusters; and generating a fingerprint for a given cluster in the group of clusters, where the fingerprint is a text string may come from a given banner and identifies a network service or product accessible in the computer network.

Abstract: A loop heat pipe includes a housing component, a first capillary structure and a second capillary structure. The housing component is provided with a pipeline unit, a first partition part and at least two evaporation cavities. The evaporation cavity includes a vapor outlet communicated with one end of the pipeline unit and a liquid replenishment port communicated with the other end of a liquid replenishment passage. At least part of the first capillary structure is disposed in the liquid replenishment passage and the evaporation cavities. The second capillary structure is disposed in at least one of the replenishment passage and the evaporation cavities. The second capillary structure includes first bodies that correspond to the evaporation cavities on a one-to-one basis. The first bodies block the liquid replenishment ports of the corresponding evaporation cavities.

Abstract: An “aggregator” controls the allocation of scarce resources among competing demands within a target machine-control environment. Multiple machine-learning agents are initiated, each with its own initial resource-utilization-optimization model based on a pre-trained model. The machine-learning agents receive resource-utilization information from within the target environment. They then use the received information to modify their models in order to more optimally utilize the scarce resources. Each agent sends a prediction, based on the agent's modified model, to the aggregator. The aggregator uses the predictions it receives to update its own model and uses that updated aggregator model to control, at least to some extent, the allocation of the scarce resources within the target environment.

Abstract: A method and system for assessing brain impairment includes generating electroencephalogram (EEG) signals from a plurality of electrodes, removing artifacts from the EEG signals to generate artifact reduced signals, generating current source density signals from the artifact reduced signals, performing multiscale analysis of dynamic functional connectivity of a brain based on the current source density signals using a plurality of different sized time windows, generating hard classifiers for each of the plurality of different size time windows, selecting classifiers from the hard classifiers to form selected classifiers, performing majority voting on a discrimination of normal cognition and mild cognitive impairment using the selected classifiers, generating an EEG-based health score of overall brain activity based on majority voting of the selected classifiers and generating a display corresponding to the health score of brain activity.

Abstract: A method and system for assessing brain impairment includes generating electroencephalogram (EEG) signals from a plurality of electrodes, removing artifacts from the EEG signals to generate artifact reduced signals, generating current source density signals from the artifact reduced signals, performing multiscale analysis of dynamic functional connectivity of a brain based on the current source density signals using a plurality of different sized time windows, generating hard classifiers for each of the plurality of different size time windows, selecting classifiers from the hard classifiers to form selected classifiers, performing majority voting on a discrimination of normal cognition and mild cognitive impairment using the selected classifiers, generating an EEG-based health score of overall brain activity based on majority voting of the selected classifiers and generating a display corresponding to the health score of brain activity.

Abstract: A loop heat pipe includes a housing component, a first capillary structure and a second capillary structure. The housing component is provided with a pipeline unit, a first partition part and at least two evaporation cavities. The evaporation cavity includes a vapor outlet communicated with one end of the pipeline unit and a liquid replenishment port communicated with the other end of a liquid replenishment passage. At least part of the first capillary structure is disposed in the liquid replenishment passage and the evaporation cavities. The second capillary structure is disposed in at least one of the replenishment passage and the evaporation cavities. The second capillary structure includes first bodies that correspond to the evaporation cavities on a one-to-one basis. The first bodies block the liquid replenishment ports of the corresponding evaporation cavities.

Abstract: A computer-implemented method is presented for scanning a computer network. The method includes: a) sending a particular network probe to a network address in a computer network; b) receiving a response to the network probe from the network address; c) appending the response to a set of features forming a feature vector; d) determining a next network probe to conduct at the network address; and e) predicting, by the computer processor, the response from the next network probe using the feature vector and a model, where the model is trained using a machine learning method and outputs a probability that a given network address will respond to a network probe.

Abstract: A vapor chamber includes: a body, including an accommodating cavity; a wick structure layer, located in the accommodating cavity; and a wick structure channel, located in the accommodating cavity. The wick structure channel is at least partially located outside the wick structure layer; or, the wick structure channel is located in the wick structure layer, and fluid resistance of the wick structure channel is smaller than fluid resistance of the wick structure layer.

Abstract: A computer-implemented method is presented for scanning a computer network. The method includes: a) sending a particular network probe to a network address in a computer network; b) receiving a response to the network probe from the network address; c) appending the response to a set of features forming a feature vector; d) determining a next network probe to conduct at the network address; and e) predicting, by the computer processor, the response from the next network probe using the feature vector and a model, where the model is trained using a machine learning method and outputs a probability that a given network address will respond to a network probe.

Abstract: An electronic device is provided in the present disclosure, and the electronic device includes a middle frame, a heat transfer unit, a shielding case, a heat source and a radiator. The middle frame includes a first surface. The heat transfer unit is disposed on the first surface. The shielding case is spaced apart from the heat transfer unit and is provided with a shielding cavity. The heat source is disposed between the heat transfer unit and the shielding case and includes a circuit board disposed on the heat transfer unit and a first heat source component disposed on the circuit board, the first heat source component is disposed in the shielding cavity. The radiator is configured to dissipate heat from the shielding case and/or the heat source.

Abstract: An electronic device is provided. The electronic device includes a rear cover including an air inlet and an air outlet; a middle frame which is assembled with the rear cover to define a containing cavity in communication with the air inlet and the air outlet; a heat source arranged in the containing cavity; a heat transfer assembly arranged on a side of the middle frame facing towards the rear cover, and including first and a second ends; and a fan arranged opposite to the second end in the containing cavity. The first end and the heat source are stacked in a thickness direction of the electronic device. The heat transfer assembly is configured to transfer heat of the heat source to the second end. The fan draws air flow through the air inlet and discharges the air flow through the air outlet.

Abstract: An electronic device is provided in the present disclosure, and the electronic device includes a middle frame, a soaking unit, a shielding case, a heat source and a radiator. The middle frame includes a first surface. The soaking unit is disposed on the first surface. The shielding case is spaced apart from the soaking unit and is provided with a shielding cavity. The heat source is disposed between the soaking unit and the shielding case and includes a circuit board disposed on the soaking unit and a first heat source component disposed on the circuit board, the first heat source component is disposed in the shielding cavity. The radiator is configured to dissipate heat from the shielding case and/or the heat source.

Abstract: An electronic device is provided. The electronic device includes a rear cover including an air inlet and an air outlet; a middle frame which is assembled with the rear cover to define a containing cavity in communication with the air inlet and the air outlet; a heat source arranged in the containing cavity; a heat transfer assembly arranged on a side of the middle frame facing towards the rear cover, and including first and a second ends; and a fan arranged opposite to the second end in the containing cavity. The first end and the heat source are stacked in a thickness direction of the electronic device. The heat transfer assembly is configured to transfer heat of the heat source to the second end. The fan draws air flow through the air inlet and discharges the air flow through the air outlet.

Abstract: Embodiments are disclosed for profiling network-level malicious activity. Profiling embodiments include observing malicious activity, representing such activity in accordance with a set of representative features, capturing temporal evolution of this malicious behavior and its dynamics, and using this temporal evolution to reveal key risk related properties of these networks. Embodiments are further disclosed addressing the connectedness of various networks and similarity in network-level maliciousness. Embodiments directed to similarity analyses include focusing on the notion of similarity—a quantitative measure of the extent to which the dynamic evolutions of malicious activities from two networks are alike, and mapping this behavioral similarity to their similarity in certain spatial features, which includes their relative proximity to each other and may be used to help predict the future maliciousness of a particular network.

Abstract: Network security and robustness is analyzed by developing correlations among network maliciousness observations to determine attack susceptibility. Network traffic is analyzed at the autonomous system (AS) level, among connected Internet Protocol (IP) routing prefixes, to identify these observations. The traffic is monitored for any of a number of specified mismanagement metrics. Correlations among these metrics are determined and a unified network mismanagement metric is developed, indicating network susceptibility to potentially malicious attack.

Abstract: For service access, a physical address of a specified application service corresponding to a specified IP segment is acquired by a user mode component in accordance with an IP-segment information of the specified IP segment, which is included in a virtual network interface card configured in a system container, and an address information including the physical address is transmitted to a router module of a machine kernel. A routing table is established by the router module in accordance with the address information. Then a network data packet is acquired and forwarded to a destination service site by the router module in accordance with the routing table.

Abstract: Network security and robustness is analyzed by developing correlations among network maliciousness observations to determine attack susceptibility. Network traffic is analyzed at the autonomous system (AS) level, among connected Internet Protocol (IP) routing prefixes, to identify these observations. The traffic is monitored for any of a number of specified mismanagement metrics. Correlations among these metrics are determined and a unified network mismanagement metric is developed, indicating network susceptibility to potentially malicious attack.

Abstract: Embodiments are disclosed for profiling network-level malicious activity. Profiling embodiments include observing malicious activity, representing such activity in accordance with a set of representative features, capturing temporal evolution of this malicious behavior and its dynamics, and using this temporal evolution to reveal key risk related properties of these networks. Embodiments are further disclosed addressing the connectedness of various networks and similarity in network-level maliciousness. Embodiments directed to similarity analyses include focusing on the notion of similarity—a quantitative measure of the extent to which the dynamic evolutions of malicious activities from two networks are alike, and mapping this behavioral similarity to their similarity in certain spatial features, which includes their relative proximity to each other and may be used to help predict the future maliciousness of a particular network.

Abstract: This disclosure provides a base station in a wireless communication system. The base station comprises a field programmable gate array (FPGA) with an upper side and a bottom side, a thermoelectric cooler (TEC) with a hot side and a cold side, a thermal pad, and an anti-radiation cover. The cold side of TEC is thermally coupled with the upper side of the FPGA, the thermal pad is thermally coupled with the hot side of TEC, and the anti-radiation cover is thermally coupled with the thermal pad.