Path-Selection Method Based on the Available Bandwidth of Interfaces

The number of end devices equipped with multiple interfaces is increasing, owing to the spread of the Internet and the development of wireless communication technologies. Many applications work and communicate simultaneously in one end device. However, such end devices are difficult to utilize multiple interfaces and multiple paths effectively. Traditional transport protocols, such as Transmission Control Protocol (TCP) and User Datagram Protocol (UDP), support only single-path communication, so end device applications tend to use only single interface and path. Application’ flows become unbalanced and compete; hence, their performance degrades. There are many related works using multiple interfaces and paths simultaneously, such as Multipath Transmission Control Protocol (MPTCP) and Multipath Internet Protocol (MPIP). However, in some cases, these methods cannot improve the communication performance because scheduling to multipath for concurrent applications is not effective. In this paper, we propose the path-selection method for each application based on the available bandwidth of interfaces of a device. This method can utilize network resources and improve the performance of all applications when many applications work and communicate on a device equipped with multiple interfaces. We evaluate this method using network simulations and show its usability.5th Annual Conference on Computational Science & Computational Intelligence (CSCI\u2718), December 13-15, 2018, Las Vegas, Nevada, US

Patient Re-Identification Based on Deep Metric Learning in Trunk Computed Tomography Images Acquired from Devices from Different Vendors

The version of record of this article, first published in Journal of Imaging Informatics in Medicine, is available online at Publisher’s website: https://doi.org/10.1007/s10278-024-01017-w.During radiologic interpretation, radiologists read patient identifiers from the metadata of medical images to recognize the patient being examined. However, it is challenging for radiologists to identify “incorrect” metadata and patient identification errors. We propose a method that uses a patient re-identification technique to link correct metadata to an image set of computed tomography images of a trunk with lost or wrongly assigned metadata. This method is based on a feature vector matching technique that uses a deep feature extractor to adapt to the cross-vendor domain contained in the scout computed tomography image dataset. To identify “incorrect” metadata, we calculated the highest similarity score between a follow-up image and a stored baseline image linked to the correct metadata. The re-identification performance tests whether the image with the highest similarity score belongs to the same patient, i.e., whether the metadata attached to the image are correct. The similarity scores between the follow-up and baseline images for the same “correct” patients were generally greater than those for “incorrect” patients. The proposed feature extractor was sufficiently robust to extract individual distinguishable features without additional training, even for unknown scout computed tomography images. Furthermore, the proposed augmentation technique further improved the re-identification performance of the subset for different vendors by incorporating changes in width magnification due to changes in patient table height during each examination. We believe that metadata checking using the proposed method would help detect the metadata with an “incorrect” patient identifier assigned due to unavoidable errors such as human error

Experimental Performance Evaluation of the Collisions in LoRa Communications

With the development and spread of Internet of Things (IoT) technologies, various organizations in industry, academia, and government have begun collecting numerous types of data using sensor devices, which they then use to predict trends and identify potential problems with the services they provide. In the IoT, low power wide area (LPWA) networks can achieve low power consumption and provide a wide range of communication options that ensure constant service provision to deployed sensors. In particular, LoRa digital wireless communication technology, which has an open specification, uses an unlicensed band, and is inexpensive to install, is becoming increasingly popular and the number of sensors equipped with it is expected to grow in the future. However, since LoRa has insufficient specifications and verifications to resist channel contention within a heavily used frequency band, the performance of that technology is unclear when the number of sensors using the same frequency band increases. In this paper, we clarify the experimental performance of LoRa when multiple wireless communication nodes compete in different patterns.5th Annual Conference on Computational Science & Computational Intelligence (CSCI\u2718), December 13-15, 2018, Las Vegas, Nevada, US

Acute non-heparin-induced thrombocytopenia during hemodiafiltration in a patient with multiple myeloma

This report demonstrates that not only heparin‐induced thrombocytopenia, but also hemodialysis conditions (platelet activation due to hemodiafiltration and heparin underdosing) may markedly reduce the platelet count and cause clotting in the hemodialysis circuit in patients in a hypercoagulable state. The clot prevention effects of bortezomib are therefore of great importance

Molecularly Engineered “Janus GroEL”: Application to Supramolecular Copolymerization with a Higher Level of Sequence Control

Herein we report the synthesis and isolation of a shape-persistent Janus protein nanoparticle derived from the biomolecular machine chaperonin GroEL (^AGroEL^B) and its application to DNA-mediated ternary supramolecular copolymerization. To synthesize ^AGroEL^B with two different DNA strands A and B at its opposite apical domains, we utilized the unique biological property of GroEL, i.e., Mg²⁺/ATP-mediated ring exchange between ^AGroEL^A and ^BGroEL^B with their hollow cylindrical double-decker architectures. This exchange event was reported more than 24 years ago but has never been utilized for molecular engineering of GroEL. We leveraged DNA nanotechnology to purely isolate Janus ^AGroEL^B and succeeded in its precision ternary supramolecular copolymerization with two DNA comonomers, A** and B*, that are partially complementary to A and B in ^AGroEL^B, respectively, and programmed to self-dimerize on the other side. Transmission electron microscopy allowed us to confirm the formation of the expected dual-periodic copolymer sequence −(^(B*/B)GroEL^(A/A**/A**/A)GroEL^(B/B*))– in the form of a laterally connected lamellar assembly rather than a single-chain copolymer

Preparatory acoustic emission activity of hydraulic fracture in granite with various viscous fluids revealed by deep learning technique

To investigate the influence of fluid viscosity on the fracturing process, we conducted hydraulic fracturing experiments on Kurokami-jima granite specimens with resins of various viscosities. We monitored the acoustic emission (AE) activity during fracturing and estimated the moment tensor (MT) solutions for 54 727 AE events using a deep learning technique. We observed the breakdown at 14–22 MPa of borehole pressure, which was dependent on the viscosity, as well as two preparatory phases accompanying the expansion of AE-active regions. The first expansion phase typically began at 10–30 per cent of the breakdown pressure, where AEs occurred three-dimensionally surrounding the wellbore and their active region expanded with time towards the external boundaries of the specimen. The MT solutions of these AEs corresponded to crack-opening (tensile) events in various orientations. The second expansion phase began at 90–99 per cent of the breakdown pressure. During this phase, a new planar AE distribution emerged from the borehole and expanded along the maximum compression axis, and the focal mechanisms of these AEs corresponded to the tensile events on the AE-delineating plane. We interpreted that the first phase was induced by fluid penetration into pre-existing microcracks, such as grain boundaries, and the second phase corresponded to the main fracture formation. Significant dependences on fluid viscosity were observed in the borehole pressure at the time of main fracture initiation and in the speed of the fracture propagation in the second phase. The AE activity observed in the present study was fairly complex compared to that observed in previous experiments conducted on tight shale samples. This difference indicates the importance of the interaction between the fracturing fluid and pre-existing microcracks in the fracturing process

Pneumonia Caused by Severe Acute Respiratory Syndrome Coronavirus 2 and Influenza Virus: A Multicenter Comparative Study

Background: Detailed differences in clinical information between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia (CP), which is the main phenotype of SARS-CoV-2 disease, and influenza pneumonia (IP) are still unclear. Methods: A prospective, multicenter cohort study was conducted by including patients with CP who were hospitalized between January and June 2020 and a retrospective cohort of patients with IP hospitalized from 2009 to 2020. We compared the clinical presentations and studied the prognostic factors of CP and IP. Results: Compared with the IP group (n = 66), in the multivariate analysis, the CP group (n = 362) had a lower percentage of patients with underlying asthma or chronic obstructive pulmonary disease (P < .01), lower neutrophil-to-lymphocyte ratio (P < .01), lower systolic blood pressure (P < .01), higher diastolic blood pressure (P < .01), lower aspartate aminotransferase level (P < .05), higher serum sodium level (P < .05), and more frequent multilobar infiltrates (P < .05). The diagnostic scoring system based on these findings showed excellent differentiation between CP and IP (area under the receiver operating characteristic curve, 0.889). Moreover, the prognostic predictors were different between CP and IP. Conclusions: Comprehensive differences between CP and IP were revealed, highlighting the need for early differentiation between these 2 pneumonias in clinical settings