Projection Algorithms for Variational Inclusions

We present a projection algorithm for finding a solution of a variational inclusion problem in a real Hilbert space. Furthermore, we prove that the proposed iterative algorithm converges strongly to a solution of the variational inclusion problem which also solves some variational inequality

3-Ethyl 5-methyl 2-hydr­oxy-6-methyl-4-(4-nitro­phen­yl)-2-trifluoro­methyl-1,2,3,4-tetra­hydro­pyridine-3,5-dicarboxyl­ate

In the title compound, C18H19F3N2O7, the tetrahydropyridine ring adopts a half-chair conformation. The nitro group is disordered over two sites with occupancies of 0.780 (15) and 0.220 (15). An intra­molecular N—H⋯F hydrogen bond is observed in the mol­ecular structure. The mol­ecules are linked into a two-dimensional network parallel to (100) by O—H⋯O, N—H⋯O and C—H⋯O hydrogen bonds

How tyramine β-hydroxylase controls the production of octopamine, modulating the mobility of beetles

Biogenic amines perform many kinds of important physiological functions in the central nervous system (CNS) of insects, acting as neuromodulators, neurotransmitters, and neurohormones. The five most abundant types of biogenic amines in invertebrates are dopamine, histamine, serotonin, tyramine, and octopamine (OA). However, in beetles, an important group of model and pest insects, the role of tyramine beta-hydroxylase (T beta H) in the OA biosynthesis pathway and the regulation of behavior remains unknown so far. We therefore investigated the molecular characterization and spatiotemporal expression profiles of T beta H in red flour beetles (Triboliun castaneum). Most importantly, we detected the production of OA and measured the crawling speed of beetles after dsTcT beta H injection. We concluded that TcT beta H controls the biosynthesis amount of OA in the CNS, and this in turn modulates the mobility of the beetles. Our new results provided basic information about the key genes in the OA biosynthesis pathway of the beetles, and expanded our knowledge on the physiological functions of OA in insects

Timestamp-supervised Wearable-based Activity Segmentation and Recognition with Contrastive Learning and Order-Preserving Optimal Transport

Human activity recognition (HAR) with wearables is one of the serviceable technologies in ubiquitous and mobile computing applications. The sliding-window scheme is widely adopted while suffering from the multi-class windows problem. As a result, there is a growing focus on joint segmentation and recognition with deep-learning methods, aiming at simultaneously dealing with HAR and time-series segmentation issues. However, obtaining the full activity annotations of wearable data sequences is resource-intensive or time-consuming, while unsupervised methods yield poor performance. To address these challenges, we propose a novel method for joint activity segmentation and recognition with timestamp supervision, in which only a single annotated sample is needed in each activity segment. However, the limited information of sparse annotations exacerbates the gap between recognition and segmentation tasks, leading to sub-optimal model performance. Therefore, the prototypes are estimated by class-activation maps to form a sample-to-prototype contrast module for well-structured embeddings. Moreover, with the optimal transport theory, our approach generates the sample-level pseudo-labels that take advantage of unlabeled data between timestamp annotations for further performance improvement. Comprehensive experiments on four public HAR datasets demonstrate that our model trained with timestamp supervision is superior to the state-of-the-art weakly-supervised methods and achieves comparable performance to the fully-supervised approaches.Comment: Under Review (submitted to IEEE TMC

Observation on health quality of life before and after the injection of antiangiogenic drug in vitreous cavity to patients with wet age-related macular degeneration

AbstractObjectiveTo explore the vision related health quality-of-life before and after the injection of antiangiogenic drug in vitreous cavity to patients with wet-AMD.MethodsThe 2000 edition of Visual Functioning Questionnaire-25 issued by National Eye Institute is applied, and the VRQL evaluation is conducted on the initial diagnosed patients with wet-AMD before and after the injection of ranibizumab drugs in vitreous cavity.ResultsAmong the wet-AMD patients, patients with better distance visual acuity before the intravitreal injection get lower VFQ-25 score; while after the vitreous cavity injection, the VFQ-25 questionnaire score is related to the explanation and nursing of doctors and nurses towards patients, the better the nursing, the higher the score.ConclusionBefore vitreous cavity injection, the degree of distance visual acuity is an important factor affecting VRQL of wet-AMD patients, in addition, the explanation and nursing of doctors and nurses toward patients during pre-operation, intra-operation and post-operation of intravitreal injection are also the import factors affecting VROL

A controllable superconducting electromechanical oscillator with a suspended membrane

We fabricate a microscale electromechanical system, in which a suspended superconducting membrane, treated as a mechanical oscillator, capacitively couples to a superconducting microwave resonator. As the microwave driving power increases, nonmonotonic dependence of the resonance frequency of the mechanical oscillator on the driving power has been observed. We also demonstrate the optical switching of the resonance frequency of the mechanical oscillator. Theoretical models for qualitative understanding of our experimental observations are presented. Our experiment may pave the way for the application of a mechanical oscillator with its resonance frequency controlled by the electromagnetic and/or optical fields, such as a microwave-optical interface and a controllable element in a superqubit-mechanical oscillator hybrid system.Comment: 8 pages,4 figure