Application of Internet of Things on the Healthcare Field Using Convolutional Neural Network Processing.

Population at risk can benefit greatly from remote health monitoring because it allows for early detection and treatment. Because of recent advances in Internet-of-Things (IoT) paradigms, such monitoring systems are now available everywhere. Due to the essential nature of the patients being monitored, these systems demand a high level of quality in aspects such as availability and accuracy. In health applications, where a lot of data are accessible, deep learning algorithms have the potential to perform well. In this paper, we develop a deep learning architecture called the convolutional neural network (CNN), which we examine in this study to see if it can be implemented. The study uses the IoT system with a centralised cloud server, where it is considered as an ideal input data acquisition module. The study uses cloud computing resources by distributing CNN operations to the servers with outsourced fitness functions to be performed at the edge. The results of the simulation show that the proposed method achieves a higher rate of classifying the input instances from the data acquisition tools than other methods. From the results, it is seen that the proposed CNN achieves an average accurate rate of 99.6% on training datasets and 86.3% on testing datasets.

Crystal structure of 8-hy-droxy-quinolin-ium 2-carboxy-6-nitro-benzoate mono-hydrate.

In the title hydrated salt, C9H8NO(+)·C8H4NO6 (-)·H2O, the deprotonated carboxyl-ate group is almost normal to its attached benzene ring [dihedral angle = 83.56 (8)°], whereas the protonated carboxyl-ate group is close to parallel [dihedral angle = 24.56 (9)°]. In the crystal, the components are linked by N-H⋯O and O-H⋯O hydrogen bonds, generating [001] chains. The packing is consolidated by C-H⋯O and π-π [centroid-to-centroid distances = 3.6408 (9) and 3.6507 (9) Å] inter-actions, which result in a three-dimensional network.

Crystal structure of quinolinium 2-carboxy-6-nitro-benzoate monohydrate.

In the anion of the title hydrated mol-ecular salt, C9H8N(+)·C8H4NO6 (-)·H2O, the protonated carboxyl and nitro groups makes dihedral angles of 27.56 (5) and 6.86 (8)°, respectively, with the attached benzene ring, whereas the deprotonated carb-oxy group is almost orthogonal to it with a dihedral angle of 80.21 (1)°. In the crystal, the components are linked by O-H⋯O and N-H⋯O hydrogen bonds, generating [001] chains. The packing is consolidated by weak C-H⋯N and C-H⋯O inter-actions as well as aromatic π-π stacking [centroid-to-centroid distances: 3.7023 (8) & 3.6590 (9)Å] inter-actions, resulting in a three-dimensional network.

Growth, crystalline perfection, spectral and optical characterization of a novel optical material: l-tryptophan p-nitrophenol trisolvate single crystal.

l-tryptophan p-nitrophenol trisolvate (LTPN), an organic nonlinear optical material was synthesized using ethanol-water mixed solvent and the crystals were grown by a slow solvent evaporation method. The crystal structure and morphology were studied by single crystal X-ray diffraction analysis. The crystalline perfection of the LTPN crystal was analyzed by high-resolution X-ray diffraction study. The molecular structure of the crystal was confirmed by observing the various characteristic functional groups of the material using vibrational spectroscopy. The cut-off wavelength, optical transmission, refractive index and band gap energy were determined using UV-visible data. The variation of refractive index with wavelength shows the normal behavior. The second harmonic generation of the crystal was confirmed and the efficiency was measured using Kurtz Perry powder method. Single and multiple shot methods were employed to measure surface laser damage of the crystal. The photoluminescence spectral study revealed that the emission may be associated with the radiative recombination of trapped electrons and holes. Microhardness measurements revealed that LTPN belongs to a soft material category.

Association of fibrinolytic tests with outcome of acute upper-gastrointestinal-tract bleeding.

Endogenous fibrinolysis may play a part in acute upper-gastrointestinal-tract bleeding by causing digestion of haemostatic plugs. We assessed the predictive value of fibrinolytic tests for hospital outcome in a prospective study of 122 patients with acute upper-gastrointestinal-tract bleeding who underwent endoscopy. Serum fibrin degradation products (FDP) were above the normal range in 32% (95% CI 21-44%) of patients who survived and did not require transfusion or surgery, in 53% (37-69%) of patients who survived without surgery but required transfusion, and in 100% (82-100%) of patients who required surgery or died. Multivariate analysis showed that after adjustment for the effects of established risk factors (age, pulse rate, blood pressure, haemoglobin, site of bleeding, and stigmata of active bleeding at endoscopy), serum FDP was a powerful independent predictor of outcome (p = 0.003). Doubling of serum FDP was associated with a 59% increase in the risk of a poor outcome (95% CI 14-120%). These findings are consistent with roles for endogenous fibrinolysis in gastrointestinal-tract bleeding, for fibrinolytic tests in prediction of adverse outcome, and for fibrinolytic inhibitors in treatment.