Computing wave solutions and conservation laws of conformable time fractional gardner and benjamin ono equations

This paper presents travelling wave solutions for the nonlinear time-fractional Gardner and Benjamin– Ono equations via the exp(−(ε))-expansion approach. Specifically, both the models are studied in the sense of conformable fractional derivative. The obtained travelling wave solutions are structured in rational, trigonometric (periodic solutions) and hyperbolic functions. Further, the investigation of symmetry analysis and nonlinear selfadjointness for the governing equations are discussed. The exact derived solutions could be very significant in elaborating physical aspects of real-world phenomena. We have 2D and 3D illustrations for free choices of the physical parameter to understand the physical explanation of the problems. Moreover, the underlying equations with conformable derivative have been investigated using the new conservation theorem

Students’ Approaches to Learning in Agricultural Higher Education

An Expost facto research design was adopted to understand the learning approaches of agricultural students (deep, strategic, and surface) and the data were collected randomly from 1514 students of Indian agricultural higher education institutions using the ‘Approaches and Study Skills Inventory for Students (ASSIST)’ instrument. The predominant learning approach adopted by the agricultural students was found to be ‘strategic’ (41.1%), followed by ‘deep’ (40.3 %) and ‘surface’ (15.5 %) approaches. No significant association (Chi-square statistic = 24.106, p=0.156) was found in the student learning approaches across the disciplines, while significant difference (t-statistic=2.248, p=0.028) was found between graduate and undergraduate students in case of ‘deep approach’. Gender had a significant association (Chi-square statistic =14.817, p<0.001) with the students’ learning approaches, especially in ‘strategic’ and ‘surface’ approaches. The paper calls for more systematic and effective teaching-learning and assessment strategies to enhance agricultural higher education quality

KEA: Tuning an Exabyte-Scale Data Infrastructure

Microsoft's internal big-data infrastructure is one of the largest in the world -- with over 300k machines running billions of tasks from over 0.6M daily jobs. Operating this infrastructure is a costly and complex endeavor, and efficiency is paramount. In fact, for over 15 years, a dedicated engineering team has tuned almost every aspect of this infrastructure, achieving state-of-the-art efficiency (>60% average CPU utilization across all clusters). Despite rich telemetry and strong expertise, faced with evolving hardware/software/workloads this manual tuning approach had reached its limit -- we had plateaued. In this paper, we present KEA, a multi-year effort to automate our tuning processes to be fully data/model-driven. KEA leverages a mix of domain knowledge and principled data science to capture the essence of our cluster dynamic behavior in a set of machine learning (ML) models based on collected system data. These models power automated optimization procedures for parameter tuning, and inform our leadership in critical decisions around engineering and capacity management (such as hardware and data center design, software investments, etc.). We combine "observational" tuning (i.e., using models to predict system behavior without direct experimentation) with judicious use of "flighting" (i.e., conservative testing in production). This allows us to support a broad range of applications that we discuss in this paper. KEA continuously tunes our cluster configurations and is on track to save Microsoft tens of millions of dollars per year. At the best of our knowledge, this paper is the first to discuss research challenges and practical learnings that emerge when tuning an exabyte-scale data infrastructure

The Association of Knowledge and Behaviours Related to Salt with 24-h Urinary Salt Excretion in a Population from North and South India

Global Alliance for Chronic Disease through the National Health and Medical Research Council (NHMRC) of Australia (APP1040179). C.J. is supported by a National Health and Medical Research Council postgraduate scholarship (APP1074678). J.W. is supported by a National Health and Medical Research Council/National Heart Foundation Career Development Fellowship (APP1082924). B.N. is supported by a National Health and Medical Research Council of Australia Principal Research Fellowship (APP1106947). He also holds an NHMRC Program Grant (APP1052555). P.K.M. is an Intermediate Career Fellow of the WT/DBT India Alliance. R.S. is supported by a Wellcome Trust Capacity Strengthening Strategic Award Extension phase to the Public Health Foundation of India and a consortium of UK universities (WT084754/Z/08/A)

Labelling completeness and sodium content of packaged foods in India.

OBJECTIVE: To estimate the proportion of products meeting Indian government labelling regulations and to examine the Na levels in packaged foods sold in India. DESIGN: Nutritional composition data were collected from the labels of all packaged food products sold at Indian supermarkets in between 2012 and 2014. Proportions of products compliant with the Food Safety Standards Authority of India (FSSAI) regulations and labelled with Na content, and mean Na levels were calculated. Comparisons were made against 2010 data from Hyderabad and against the UK Department of Health (DoH) 2017 Na targets. SETTING: Eleven large chain retail stores in Delhi and Hyderabad, India. SUBJECTS: Packaged food products (n 5686) categorised into fourteen food groups, thirty-three food categories and ninety sub-categories. RESULTS: More packaged food products (43 v. 34 %; P<0·001) were compliant with FSSAI regulations but less (32 v. 38 %; P<0·001) reported Na values compared with 2010. Food groups with the highest Na content were sauces and spreads (2217 mg/100 g) and convenience foods (1344 mg/100 g). Mean Na content in 2014 was higher in four food groups compared with 2010 and lower in none (P<0·05). Only 27 % of foods in sub-categories for which there are UK DoH benchmarks had Na levels below the targets. CONCLUSIONS: Compliance with nutrient labelling in India is improving but remains low. Many packaged food products have high levels of Na and there is no evidence that Indian packaged foods are becoming less salty

Accuracy and Prognosis of Extranodal Extension on Radiologic Imaging in Human Papillomavirus-Mediated Oropharyngeal Cancer: A Head and Neck Cancer International Group (HNCIG) Real-world Study

Purpose: Extranodal extension on radiology (iENE) is reported in single-center studies to be negatively prognostic in human papillomavirus-mediated oropharyngeal cancer (HPV + OPC) and is a major eligibility criterion for surgical treatment. However, studies report widely varying sensitivities, specificities, and interobserver correlation. In this research the prognostic power, sensitivity, and specificity of iENE in HPV + OPC in real-world practice are determined. Methods and Materials: A retrospective cohort of 821 consecutive subjects with p16 + OPC, treated with surgery and/or chemoradiation therapy (CRT), from 13 multinational secondary hospitals in 9 countries between January 1, 1999 and December 31, 2020 was analyzed. The main outcomes were sensitivity, specificity, and overall survival (OS). Assessors were blinded to outcomes. Results: Six hundred thirty-eight patients were included in the final analysis. A total of 109 of 394 (27.7%) with no iENE had ENE on histopathology (pENE), and 109 of 192 (56.8%) of patients with pENE were misclassified as having no iENE. iENE sensitivity and specificity were 44.5% (95% CI, 37.8%-51.4%) and 87.6% (95% CI, 84.1%-90.6%), respectively, and varied significantly between centers. Negative predictive value was 75.3% (95% CI, 72.3%-77.5%). Subgroup analyses showed significantly increased sensitivity and specificity if patients had both computed tomography (CT) and magnetic resonance imaging (MRI): 84.6% (95% CI, 65.1%-95.6%, P < .001) and 94.5% (95% CI, 82.3%-99.4%, P = .022), respectively, compared with only CT or MRI alone. Specialist radiologists showed better specificities (89.14%; 95% CI, 85.69%- 91.99% vs 46.67%; 95% CI, 21.27%-73.41%, P < .001) and similar sensitivities to nonspecialists. On multivariable analysis, iENE positivity was not a statistically significant independent predictor of OS (adjusted hazards ratio [aHR], 1.50 [95% CI, 0.97-2.32; P = .071]) or disease-free survival (aHR, 1.41; 95% CI, 0.95-2.09; P = .089). Two proposals for amended TNM staging did not yield large improvements. Conclusions: In current real-world practice, iENE showed widely varying and modest accuracy, and was not independently prognostic of outcomes in HPV + OPC. iENE accuracy and prognostic power increased significantly by using combined CT and MRI scanning, experienced head and neck radiologists and more inclusive diagnostic criteria. Validated consensus diagnostic criteria and protocols are urgently needed to enhance the clinical utility of iENE. Until then, clinicians should be cautious about making treatment decisions based on iENE. Crown Copyright (c) 2025 Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/

Search for Gravitational-wave Signals Associated with Gamma-Ray Bursts during the Second Observing Run of Advanced LIGO and Advanced Virgo

We present the results of targeted searches for gravitational-wave transients associated with gamma-ray bursts during the second observing run of Advanced LIGO and Advanced Virgo, which took place from 2016 November to 2017 August. We have analyzed 98 gamma-ray bursts using an unmodeled search method that searches for generic transient gravitational waves and 42 with a modeled search method that targets compact-binary mergers as progenitors of short gamma-ray bursts. Both methods clearly detect the previously reported binary merger signal GW170817, with p-values of <9.38 × 10−6 (modeled) and 3.1 × 10−4 (unmodeled). We do not find any significant evidence for gravitational-wave signals associated with the other gamma-ray bursts analyzed, and therefore we report lower bounds on the distance to each of these, assuming various source types and signal morphologies. Using our final modeled search results, short gamma-ray burst observations, and assuming binary neutron star progenitors, we place bounds on the rate of short gamma-ray bursts as a function of redshift for z ≤ 1. We estimate 0.07─1.80 joint detections with Fermi-GBM per year for the 2019─20 LIGO-Virgo observing run and 0.15─3.90 per year when current gravitational-wave detectors are operating at their design sensitivities

Development and validation of HERWIG 7 tunes from CMS underlying-event measurements

This paper presents new sets of parameters (“tunes”) for the underlying-event model of the HERWIG7 event generator. These parameters control the description of multiple-parton interactions (MPI) and colour reconnection in HERWIG7, and are obtained from a fit to minimum-bias data collected by the CMS experiment at s=0.9, 7, and 13Te. The tunes are based on the NNPDF 3.1 next-to-next-to-leading-order parton distribution function (PDF) set for the parton shower, and either a leading-order or next-to-next-to-leading-order PDF set for the simulation of MPI and the beam remnants. Predictions utilizing the tunes are produced for event shape observables in electron-positron collisions, and for minimum-bias, inclusive jet, top quark pair, and Z and W boson events in proton-proton collisions, and are compared with data. Each of the new tunes describes the data at a reasonable level, and the tunes using a leading-order PDF for the simulation of MPI provide the best description of the dat

Search for top squark pair production using dilepton final states in pp collision data collected at root s=13TeV

A search is presented for supersymmetric partners of the top quark (top squarks) in final states with two oppositely charged leptons (electrons or muons), jets identified as originating from bquarks, and missing transverse momentum. The search uses data from proton-proton collisions at root s = 13 TeV collected with the CMS detector, corresponding to an integrated luminosity of 137 fb(-1). Hypothetical signal events are efficiently separated from the dominant top quark pair production background with requirements on the significance of the missing transverse momentum and on transverse mass variables. No significant deviation is observed from the expected background. Exclusion limits are set in the context of simplified supersymmetric models with pair-produced lightest top squarks. For top squarks decaying exclusively to a top quark and a lightest neutralino, lower limits are placed at 95% confidence level on the masses of the top squark and the neutralino up to 925 and 450 GeV, respectively. If the decay proceeds via an intermediate chargino, the corresponding lower limits on the mass of the lightest top squark are set up to 850 GeV for neutralino masses below 420 GeV. For top squarks undergoing a cascade decay through charginos and sleptons, the mass limits reach up to 1.4 TeV and 900 GeV respectively for the top squark and the lightest neutralino.Peer reviewe

Measurement of the t(t)over-barb(b)over-bar production cross section in the all-jet final state in pp collisions at root s=13 TeV

A measurement of the production cross section of top quark pairs in association with two b jets (t (t) over barb (b) over bar) is presented using data collected in proton-proton collisions at root s=13 TeV by the CMS detector at the LHC corresponding to an integrated luminosity of 35.9 fb(-1). The cross section is measured in the all-jet decay channel of the top quark pair by selecting events containing at least eight jets, of which at least two are identified as originating from the hadronization of b quarks. A combination of multivariate analysis techniques is used to reduce the large background from multijet events not containing a top quark pair, and to help discriminate between jets originating from top quark decays and other additional jets. The cross section is determined for the total phase space to be 5.5 +/- 0.3 (stat)(-1.3)(+)(1.6) (syst)pb and also measured for two fiducial t (t) over barb (b) over bar, definitions. The measured cross sections are found to be larger than theoretical predictions by a factor of 1.5-2.4, corresponding to 1-2 standard deviations. (C) 2020 The Author. Published by Elsevier B.V.Peer reviewe