A Hybrid Based RecommendationSystem based on Clustering and Association

Recommendation systems play an important role in filtering and customizing the desired information. Recommender system are divided into 3 categories i.e collaborative filtering , contentbased filtering, and hybrid filtering are the most adopted techniques being utilized in recommender systems. The main aim of this paper is to recommend the best suitable items to the user. In this paper the approach is to cluster the data and applying the association mining over clustering. The paper describes about different hybridization methods and discuss various limitations of current recommendation methods such as cold-start problem ,Graysheep problem,how to find the similarity between users and items and discuss possible extensions that can improve recommendation capabilities in range of applications extensions such as , improvement of understanding of users and items incorporation ofthe contextual information into the recommendation process, support for multicriteria ratings

Effectiveness of Transcutaneous Electrical Nerve Stimulation Therapy on whole Salivary Flow in Patients with Xerostomia and Healthy Adults

Objective: To evaluate and compare the effectiveness of transcutaneous electrical nerve stimulation (TENS) therapy on whole salivary flow in patients with xerostomia and healthy adults. Material and Methods:  Thirty subjects with a history of xerostomia and subjects with unstimulated salivary flow equal to or less than 0.5 ml in 5 min were included in the study group, and 30 healthy subjects were included in the control group. Low forced spitting unstimulated saliva was collected for five minutes in a test tube fitted with a funnel. Then electrode pads of the TENS unit were applied bilaterally on skin overlying the parotid glands and at optimal intensity, stimulated saliva was collected for 5 minutes with the same method in a separate graduated test tube. The salivary flow rate (per minute) was calculated by dividing the amount of collected saliva (volume in mL) by the duration of collection period (5 minutes) and the salivary flow rates prior and after electrostimulation were compared for both groups. The Student’s t-test (unpaired and paired) was performed for group-wise comparisons. Results: In study group, the mean unstimulated salivary flow rate was 0.07 ± 0.01 mL/min. There was an 85.71% increase in salivary flow (0.13 ± 0.03 mL/min) during the TENS application and the difference was highly significant (p<0.001). In control group, the mean unstimulated salivary flow rate was 0.37 ± 0.07 mL/min. There was a 21.62% increase in salivary flow (0.45 ± 0.07 mL/min) during the TENS application and the difference was highly significant (p<0.001). An increase in mean salivary flow rate both in males and females after TENS application in both groups (p<0.001) was noted. The difference between unstimulated, stimulated and mean difference in salivary flow rate between males and females was not statistically significant in both groups (p>0.05). Conclusion: TENS can be an effective therapy in increasing whole salivary flow rates in patients with xerostomia

Effectiveness of Transcutaneous Electrical Nerve Stimulation Therapy on whole Salivary Flow in Patients with Xerostomia and Healthy Adults

Objective: To evaluate and compare the effectiveness of transcutaneous electrical nerve stimulation (TENS) therapy on whole salivary flow in patients with xerostomia and healthy adults. Material and Methods:  Thirty subjects with a history of xerostomia and subjects with unstimulated salivary flow equal to or less than 0.5 ml in 5 min were included in the study group, and 30 healthy subjects were included in the control group. Low forced spitting unstimulated saliva was collected for five minutes in a test tube fitted with a funnel. Then electrode pads of the TENS unit were applied bilaterally on skin overlying the parotid glands and at optimal intensity, stimulated saliva was collected for 5 minutes with the same method in a separate graduated test tube. The salivary flow rate (per minute) was calculated by dividing the amount of collected saliva (volume in mL) by the duration of collection period (5 minutes) and the salivary flow rates prior and after electrostimulation were compared for both groups. The Student’s t-test (unpaired and paired) was performed for group-wise comparisons. Results: In study group, the mean unstimulated salivary flow rate was 0.07 ± 0.01 mL/min. There was an 85.71% increase in salivary flow (0.13 ± 0.03 mL/min) during the TENS application and the difference was highly significant (p<0.001). In control group, the mean unstimulated salivary flow rate was 0.37 ± 0.07 mL/min. There was a 21.62% increase in salivary flow (0.45 ± 0.07 mL/min) during the TENS application and the difference was highly significant (p<0.001). An increase in mean salivary flow rate both in males and females after TENS application in both groups (p<0.001) was noted. The difference between unstimulated, stimulated and mean difference in salivary flow rate between males and females was not statistically significant in both groups (p>0.05). Conclusion: TENS can be an effective therapy in increasing whole salivary flow rates in patients with xerostomia

Non-methane volatile organic compounds emitted from domestic fuels in Delhi: Emission factors and total city-wide emissions

In controlled laboratory conditions, 62 samples of domestic fuels collected from 56 grids of Delhi were burnt to quantify the emissions of 23 non-methane volatile organic compounds (NMVOCs), i.e., alkanes (11), alkenes (6), alkynes (1) and aromatic compounds (5). The domestic fuels used for residential activities were comprised of 20 unique types of fuel woods, 3 species of crop residue, dung cakes and coal. These fuels are primarily used for cooking and water/space heating during winters. The current study reports the total emission budget of NMVOCs from domestic burning over Delhi. Furthermore, this study also compares the differences in EFs of NMVOCs which are calculated for different burning cycles and sample collection methods. The EFs of NMVOCs calculated from the samples collected during the flaming stage using canisters were analysed for 23 NMVOCs and then compared with same species emitted from complete burning cycle. In addition to this, 10 consumption and emission hotspot grids were also identified in Delhi; based on the ground survey and laboratory simulated results. The total annual usage of domestic fuels for the year 2019 was found to be 0.415 Mt/yr (million tonnes) in Delhi. 12.01 Gg/yr of annual NMVOC emissions was calculated from domestic fuel burning in which the emissions from dung cake and fuel wood dominated with 6.6 Gg/yr and 5.4 Gg/yr, respectively. The EFs of NMVOCs calculated using canister and online collection method differ significantly from each other. The flaming stage presented enhanced emissions compared to the complete burning cycle by ~7 times which suggests that the method of data analysis and the period of sample collection play a pivotal role in the preparation of an emission inventory and estimating the budget

Emissions of non-methane volatile organic compounds from combustion of domestic fuels in Delhi, India

Twenty-nine different fuel types used in residential dwellings in northern India were collected from across Delhi (76 samples in total). Emission factors of a wide range of non-methane volatile organic compounds (NMVOCs) (192 compounds in total) were measured during controlled burning experiments using dualchannel gas chromatography with flame ionisation detection (DC-GC-FID), two-dimensional gas chromatography (GC×GC-FID), proton-transfer-reaction time-of-flight mass spectrometry (PTR-ToF-MS) and solid-phase extraction two-dimensional gas chromatography with time-offlight mass spectrometry (SPE-GC×GC-ToF-MS). On average, 94% speciation of total measured NMVOC emissions was achieved across all fuel types. The largest contributors to emissions from most fuel types were small non-aromatic oxygenated species, phenolics and furanics. The emission factors (in g kg-1) for total gas-phase NMVOCs were fuelwood (18.7, 4.3-96.7), cow dung cake (62.0, 35.3-83.0), crop residue (37.9, 8.9-73.8), charcoal (5.4, 2.4-7.9), sawdust (72.4, 28.6-115.5), municipal solid waste (87.3, 56.6- 119.1) and liquefied petroleum gas (5.7, 1.9-9.8). The emission factors measured in this study allow for better characterisation, evaluation and understanding of the air quality impacts of residential solid-fuel combustion in India

KCNT1- related epilepsy: An international multicenter cohort of 27 pediatric cases

ObjectiveThrough international collaboration, we evaluated the phenotypic aspects of a multiethnic cohort of KCNT1- related epilepsy and explored genotype- phenotype correlations associated with frequently encountered variants.MethodsA cross- sectional analysis of children harboring pathogenic or likely pathogenic KCNT1 variants was completed. Children with one of the two more common recurrent KCNT1 variants were compared with the rest of the cohort for the presence of particular characteristics.ResultsTwenty- seven children (15 males, mean age = 40.8 months) were included. Seizure onset ranged from 1 day to 6 months, and half (48.1%) exhibited developmental plateauing upon onset. Two- thirds had epilepsy of infancy with migrating focal seizures (EIMFS), and focal tonic seizures were common (48.1%). The most frequent recurrent KCNT1 variants were c.2800G>A; p.Ala934Thr (n = 5) and c.862G>A; p.Gly288Ser (n = 4). De novo variants were found in 96% of tested parents (23/24). Sixty percent had abnormal magnetic resonance imaging (MRI) findings. Delayed myelination, thin corpus callosum, and brain atrophy were the most common. One child had gray- white matter interface indistinctness, suggesting a malformation of cortical development. Several antiepileptic drugs (mean = 7.4/patient) were tried, with no consistent response to any one agent. Eleven tried quinidine; 45% had marked (>50% seizure reduction) or some improvement (25%- 50% seizure reduction). Seven used cannabidiol; 71% experienced marked or some improvement. Fourteen tried diet therapies; 57% had marked or some improvement. When comparing the recurrent variants to the rest of the cohort with respect to developmental trajectory, presence of EIMFS, >500 seizures/mo, abnormal MRI, and treatment response, there were no statistically significant differences. Four patients died (15%), none of sudden unexpected death in epilepsy.SignificanceOur cohort reinforces common aspects of this highly pleiotropic entity. EIMFS manifesting with refractory tonic seizures was the most common. Cannabidiol, diet therapy, and quinidine seem to offer the best chances of seizure reduction, although evidence- based practice is still unavailable.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/154940/1/epi16480_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154940/2/epi16480.pd

Emissions of intermediate-volatility and semi-volatile organic compounds from domestic fuels used in Delhi, India

Biomass burning emits significant quantities of intermediate-volatility and semi-volatile organic compounds (I/SVOCs) in a complex mixture, probably containing many thousands of chemical species. These components are significantly more toxic and have poorly understood chemistry compared to volatile organic compounds routinely quantified in ambient air; however, analysis of I/SVOCs presents a difficult analytical challenge. The gases and particles emitted during the test combustion of a range of domestic solid fuels collected from across Delhi were sampled and analysed. Organic aerosol was collected onto Teflon (PTFE) filters, and residual low-volatility gases were adsorbed to the surface of solid-phase extraction (SPE) discs. A new method relying on accelerated solvent extraction (ASE) coupled to comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC-ToF-MS) was developed. This highly sensitive and powerful analytical technique enabled over 3000 peaks from I/SVOC species with unique mass spectra to be detected. A total of 15 %-100% of gas-phase emissions and 7 %-100% of particle-phase emissions were characterised. The method was analysed for suitability to make quantitative measurements of I/SVOCs using SPE discs. Analysis of SPE discs indicated phenolic and furanic compounds were important for gas-phase I/SVOC emissions and levoglucosan to the aerosol phase. Gas- and particle-phase emission factors for 21 polycyclic aromatic hydrocarbons (PAHs) were derived, including 16 compounds listed by the US EPA as priority pollutants. Gas-phase emissions were dominated by smaller PAHs. The new emission factors were measured (mg kg-1) for PAHs from combustion of cow dung cake (615), municipal solid waste (1022), crop residue (747), sawdust (1236), fuelwood (247), charcoal (151) and liquefied petroleum gas (56). The results of this study indicate that cow dung cake and municipal solid waste burning are likely to be significant PAH sources, and further study is required to quantify their impact alongside emissions from fuelwood burning

Dynamics of Hot QCD Matter -- Current Status and Developments

The discovery and characterization of hot and dense QCD matter, known as Quark Gluon Plasma (QGP), remains the most international collaborative effort and synergy between theorists and experimentalists in modern nuclear physics to date. The experimentalists around the world not only collect an unprecedented amount of data in heavy-ion collisions, at Relativistic Heavy Ion Collider (RHIC), at Brookhaven National Laboratory (BNL) in New York, USA, and the Large Hadron Collider (LHC), at CERN in Geneva, Switzerland but also analyze these data to unravel the mystery of this new phase of matter that filled a few microseconds old universe, just after the Big Bang. In the meantime, advancements in theoretical works and computing capability extend our wisdom about the hot-dense QCD matter and its dynamics through mathematical equations. The exchange of ideas between experimentalists and theoreticians is crucial for the progress of our knowledge. The motivation of this first conference named "HOT QCD Matter 2022" is to bring the community together to have a discourse on this topic. In this article, there are 36 sections discussing various topics in the field of relativistic heavy-ion collisions and related phenomena that cover a snapshot of the current experimental observations and theoretical progress. This article begins with the theoretical overview of relativistic spin-hydrodynamics in the presence of the external magnetic field, followed by the Lattice QCD results on heavy quarks in QGP, and finally, it ends with an overview of experiment results.Comment: Compilation of the contributions (148 pages) as presented in the `Hot QCD Matter 2022 conference', held from May 12 to 14, 2022, jointly organized by IIT Goa & Goa University, Goa, Indi

Azimuthal anisotropy of charged jet production in root s(NN)=2.76 TeV Pb-Pb collisions

We present measurements of the azimuthal dependence of charged jet production in central and semi-central root s(NN) = 2.76 TeV Pb-Pb collisions with respect to the second harmonic event plane, quantified as nu(ch)(2) (jet). Jet finding is performed employing the anti-k(T) algorithm with a resolution parameter R = 0.2 using charged tracks from the ALICE tracking system. The contribution of the azimuthal anisotropy of the underlying event is taken into account event-by-event. The remaining (statistical) region-to-region fluctuations are removed on an ensemble basis by unfolding the jet spectra for different event plane orientations independently. Significant non-zero nu(ch)(2) (jet) is observed in semi-central collisions (30-50% centrality) for 20 <p(T)(ch) (jet) <90 GeV/c. The azimuthal dependence of the charged jet production is similar to the dependence observed for jets comprising both charged and neutral fragments, and compatible with measurements of the nu(2) of single charged particles at high p(T). Good agreement between the data and predictions from JEWEL, an event generator simulating parton shower evolution in the presence of a dense QCD medium, is found in semi-central collisions. (C) 2015 CERN for the benefit of the ALICE Collaboration. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).Peer reviewe