Unleashing The Curative Power of Homoeopathy Through Treatment of Allergic Rhinitis an Evidence-Based Case Report.

Allergic rhinitis -Allergic Rhinitis a disease pertaining to Nose, induced by an immunoglobulin E (IgE)-mediated inflammatory reaction after allergic exposure of the membranes lining the nose. Main symptoms include- It is characterised by watery Nasal discharge, Nasal congestion, Sneezing and Itching in the nose1.     This may also be associated with symptoms of itching in the eyes, palate and pharynx. It was defined in 19299. The three cardinal symptoms in nasal reactions occurring in allergy are sneezing, nasal obstruction and mucous discharge. Diagnosis- Allergic rhinitis Conclusion- Allergic rhinitis is the most common type of chronic rhinitis, affecting 10 to 20% of the population, and evidence suggests that the prevalence of the disorder is increasing2. Severe allergic rhinitis has been associated with significant impairments in quality of life, sleep and work performance3. In this case the curative action of homoeopathy is unleashed based on lab investigations, grading of symptoms, objective and subjective parameters with successful reduction of symptoms

Salagean-type harmonic univalent functions with fixed finitely many coefficients

In the present paper, authors introduce and study a new class of Salagean-type harmonic univalent functions that have fixed finitely many coefficients. We obtain coefficient conditions, extreme points, convolution condition, convex combinations for the above class of harmonic univalent functions

Protected superconductivity at the boundaries of charge-density-wave domains

Solid 4He may acquire superfluid characteristics due to the frustration of the solid phase at grain boundaries. Here, introducing a negative-U generalized Hubbard model and a coarse-grained semiclassical pseudospin model, we show that an analogous effect occurs in systems with competition among charge-density-waves (CDW) and superconductivity in the presence of disorder, as cuprate or dichalcogenide superconductors. The CDW breaks apart in domains with topologically protected filamentary superconductivity at the interfaces. Our transport measurements, carried out in underdoped La2-x Sr x CuO4, with the magnetic field acting as a control parameter, are shown to be in excellent agreement with our theoretical prediction. Assuming superconductivity and CDW phases have similar energies, at intermediate temperatures, the magnetic field drives the system from a fluctuating superconductor to a CDW as expected in the clean limit. Lowering the temperature, the expected clean quantum critical point is avoided and a filamentary phase appears, analogous to 'glassy' supersolid phenomena in 4He. The transition line ends at a second quantum critical point at high-fields. Within our scenario, the filamentary superconducting phase is parasitic with CDW and bulk superconducting phases playing the role of primary competing order parameters

Monitoring ship emissions using Sentinel-5P and AIS data

Ship pollution has become a growing concern due to its environmental impact. Various policies have been introduced to tackle this issue, such as the International Convention for the Prevention of Pollution from Ships (MARPOL) implemented by the International Maritime Organization (IMO) in 1973. The MARPOL limits the number of pollutants that ships can release into the environment and requires ships to reduce their sulfur emissions. For instance, the IMO introduced a sulfur cap of 0.5% in marine fuel that came into effect on January 1, 2020. The European Commission estimates an eventual reduction in sulfur air pollutants by 80% in the Mediterranean. The effectiveness of these policies is analyzed using data from Sentinel-5P and Automatic Identification System (AIS) messages. Data analysis shows a correlation between ship routes and pollution levels over the oceans using data from the past six years. Five-year averages and time lapses of yearly averages from Sentinel-5P are analyzed to further understand temporal correlations between pollution levels and ship tracks. Furthermore, the impact of coastal areas and cities on pollution levels is investigated by studying larger areas. It is found that the assessment of ship pollution using Sentinel-5P has some limitations: while nitrogen dioxide can be monitored effectively offshore, sulfur emissions from ships cannot be detected offshore or distinguished from coastal emissions using Sentinel-5P. This presents a significant challenge in monitoring and enforcing regulations aimed at reducing sulfur emissions from ships, especially in areas such as the Mediterranean Sea, which are highly influenced by coastal regions

Multimodal Earth observation data fusion: Graph-based approach in shared latent space

Multiple and heterogenous Earth observation (EO) platforms are broadly used for a wide array of applications, and the integration of these diverse modalities facilitates better extraction of information than using them individually. The detection capability of the multispectral unmanned aerial vehicle (UAV) and satellite imagery can be significantly improved by fusing with ground hyperspectral data. However, variability in spatial and spectral resolution can affect the efficiency of such dataset's fusion. In this study, to address the modality bias, the input data was projected to a shared latent space using cross-modal generative approaches or guided unsupervised transformation. The proposed adversarial networks and variational encoder-based strategies used bi-directional transformations to model the cross-domain correlation without using cross-domain correspondence. It may be noted that an interpolation-based convolution was adopted instead of the normal convolution for learning the features of the point spectral data (ground spectra). The proposed generative adversarial network-based approach employed dynamic time wrapping based layers along with a cyclic consistency constraint to use the minimal number of unlabeled samples, having cross-domain correlation, to compute a cross-modal generative latent space. The proposed variational encoder-based transformation also addressed the cross-modal resolution differences and limited availability of cross-domain samples by using a mixture of expert-based strategy, cross-domain constraints, and adversarial learning. In addition, the latent space was modelled to be composed of modality independent and modality dependent spaces, thereby further reducing the requirement of training samples and addressing the cross-modality biases. An unsupervised covariance guided transformation was also proposed to transform the labelled samples without using cross-domain correlation prior. The proposed latent space transformation approaches resolved the requirement of cross-domain samples which has been a critical issue with the fusion of multi-modal Earth observation data. This study also proposed a latent graph generation and graph convolutional approach to predict the labels resolving the domain discrepancy and cross-modality biases. Based on the experiments over different standard benchmark airborne datasets and real-world UAV datasets, the developed approaches outperformed the prominent hyperspectral panchromatic sharpening, image fusion, and domain adaptation approaches. By using specific constraints and regularizations, the network developed was less sensitive to network parameters, unlike in similar implementations. The proposed approach illustrated improved generalizability in comparison with the prominent existing approaches. In addition to the fusion-based classification of the multispectral and hyperspectral datasets, the proposed approach was extended to the classification of hyperspectral airborne datasets where the latent graph generation and convolution were employed to resolve the domain bias with a small number of training samples. Overall, the developed transformations and architectures will be useful for the semantic interpretation and analysis of multimodal data and are applicable to signal processing, manifold learning, video analysis, data mining, and time series analysis, to name a few.This research was partly supported by the Hebrew University of Jerusalem Intramural Research Found Career Development, Association of Field Crop Farmers in Israel and the Chief Scientist of the Israeli Ministry of Agriculture and Rural Development (projects 20-02-0087 and 12-01-0041)

Flash spark plasma sintering of magnesium silicide stannide with improved thermoelectric properties

Spark plasma sintering has become a routine method for the densification of thermoelectric (TE) materials. However, the impacts and details of direct Joule heating within TE materials have not been fully quantified and clarified. Here we investigated the feasibility of flash-sintering (high heating rate Joule heating) magnesium silicide stannide (MSS) using a spark plasma sintering furnace. A Mg2.1Si0.487Sn0.5Sb0.013 (MSS) green compact was sandwiched between two graphite punches without a die. Then a DC pulse voltage was applied between the punches and the current passed completely though the compact, without any of the current bypassing through a graphite die as occurs with a convectional SPS die–punch system. The direct heating was so efficient that a heating rate of ∼1000 °C was achieved and the sample was fully sintered in less than 45 s. Due to the high local Joule heating at the contacts of the particles, the MgO distribution pattern was modified and optimised, which broke the coated passivation layer on the MSS aggregates. The onset densification temperature was 170 to 350 °C lower than that in convectional SPS (750 °C). Importantly, it was possible to produce dense samples in a wide sintering window of ∼6 s, and the flash-sintering was controllable and repeatable. Flash sintering could open a new way for rapid densification of dense nanostructured and/or textured TE materials with low electrical resistivity by optimising the distribution or removal of the surface oxidation of the powder grains

Efficacy and Tolerability of Intramuscular Dexketoprofen in Postoperative Pain Management following Hernia Repair Surgery

Objective. To evaluate the safety and efficacy of intramuscular dexketoprofen for postoperative pain in patients undergoing hernia surgery. Methodology. Total 202 patients received single intramuscular injection of dexketoprofen 50 mg or diclofenac 50 mg postoperatively. The pain intensity (PI) was self-evaluated by patients on VAS at baseline 1, 2, 4, 6, and 8 hours. The efficacy parameters were number of responders, difference in PI (PID) at 8 hours, sum of analogue of pain intensity differences (SAPID), and onset and duration of analgesia. Tolerability assessment was done by global evaluation and adverse events in each group. Results. Dexketoprofen showed superior efficacy in terms of number of responders (P = .007), PID at 8 hours (P = .02), and SAPID 0–8 hours (P < .0001). It also showed faster onset of action (42 minutes) and longer duration of action (6.5 hours). The adverse events were comparable in both groups. Conclusion. Single dose of dexketoprofen trometamol 50 mg given intramuscularly provided faster, better, and longer duration of analgesia in postoperative patients of hernia repair surgery than diclofenac 50 mg, with comparable safety

Efficacy and Tolerability of Fixed-Dose Combination of Dexketoprofen and Dicyclomine Injection in Acute Renal Colic

Objective. To evaluate the efficacy and tolerability of a fixed-dose combination of dexketoprofen and dicyclomine (DXD) injection in patients with acute renal colic. Patients and Methods. Two hundred and seventeen patients were randomized to receive either DXD (n = 109) or fixed-dose combination of diclofenac and dicyclomine injection (DLD; n = 108), intramuscularly. Pain intensity (PI) was self-evaluated by patients on visual analogue scale (VAS) at baseline and at 1, 2, 4, 6, and 8 hours. Efficacy parameters were proportion of responders, difference in PI (PID) at 8 hours, and sum of analogue of pain intensity differences (SAPID). Tolerability was assessed by patients and physicians. Results. DXD showed superior efficacy in terms of proportion of responders (98.17% versus 81.48; P < 0.0001), PID at 8 hours (P = 0.002), and SAPID0–8 hours (P = 0.004). The clinical global impression for change in pain was significantly better for DXD than DLD. The incidence of adverse events was comparable in both groups. However, global assessment of tolerability was rated significantly better for DXD. Conclusion. DXD showed superior efficacy and tolerability than DLD in patients clinically diagnosed to be suffering from acute renal colic