University of Ruhuna

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University of Ruhuna
Short name
UR
Country, city
Sri Lanka, Galle
Publications
2 217
Citations
34 437
h-index
75
Top-3 organizations
Vrije Universiteit Brussel
Vrije Universiteit Brussel (480 publications)
Universite Libre de Bruxelles
Universite Libre de Bruxelles (472 publications)
University of Delhi
University of Delhi (455 publications)
Top-3 foreign organizations
Vrije Universiteit Brussel
Vrije Universiteit Brussel (480 publications)
Universite Libre de Bruxelles
Universite Libre de Bruxelles (472 publications)
University of Delhi
University of Delhi (455 publications)

Most cited in 5 years

Ranaweera P., Jurcut A.D., Liyanage M.
2021-02-26 citations by CoLab: 230 Abstract  
The European Telecommunications Standards Institute (ETSI) has introduced the paradigm of Multi-Access Edge Computing (MEC) to enable efficient and fast data processing in mobile networks. Among other technological requirements, security and privacy are significant factors in the realization of MEC deployments. In this paper, we analyse the security and privacy of the MEC system. We introduce a thorough investigation of the identification and the analysis of threat vectors in the ETSI standardized MEC architecture. Furthermore, we analyse the vulnerabilities leading to the identified threat vectors and propose potential security solutions to overcome these vulnerabilities. The privacy issues of MEC are also highlighted, and clear objectives for preserving privacy are defined. Finally, we present future directives to enhance the security and privacy of MEC services.
EL Sabagh A., Islam M.S., Skalicky M., Ali Raza M., Singh K., Anwar Hossain M., Hossain A., Mahboob W., Iqbal M.A., Ratnasekera D., Singhal R.K., Ahmed S., Kumari A., Wasaya A., Sytar O., et. al.
Frontiers in Agronomy scimago Q1 wos Q1 Open Access
2021-07-08 citations by CoLab: 198 PDF Abstract  
Wheat constitutes pivotal position for ensuring food and nutritional security; however, rapidly rising soil and water salinity pose a serious threat to its production globally. Salinity stress negatively affects the growth and development of wheat leading to diminished grain yield and quality. Wheat plants utilize a range of physiological biochemical and molecular mechanisms to adapt under salinity stress at the cell, tissue as well as whole plant levels to optimize the growth, and yield by off-setting the adverse effects of saline environment. Recently, various adaptation and management strategies have been developed to reduce the deleterious effects of salinity stress to maximize the production and nutritional quality of wheat. This review emphasizes and synthesizes the deleterious effects of salinity stress on wheat yield and quality along with highlighting the adaptation and mitigation strategies for sustainable wheat production to ensure food security of skyrocketing population under changing climate.
Ekanayake I.U., Meddage D.P., Rathnayake U.
2022-06-01 citations by CoLab: 183 Abstract  
Machine learning (ML) techniques are often employed for the accurate prediction of the compressive strength of concrete. Despite higher accuracy, previous ML models failed to interpret the rationale behind predictions. Model interpretability is essential to appeal to the interest of domain experts. Therefore, overcoming research gaps identified, this research study proposes a way to predict the compressive strength of concrete using supervised ML algorithms (Decision tree, Extra tree, Adaptive boost (AdaBoost), Extreme gradient boost (XGBoost), Light gradient boosting method (LGBM), and Laplacian Kernel Ridge Regression (LKRR). Alternatively, SHapley Additive exPlainations (SHAP) – a novel black-box interpretation approach - was employed to elucidate the predictions. The comparison revealed that tree-based algorithms and LKRR provide acceptable accuracy for compressive strength predictions. Moreover, XGBoost and LKRR algorithms evinced superior performance ( R = 0.98 ). According to SHAP interpretation, XGBoost predictions capture complex relationships among the constituents. On the other hand, SHAP provides unified measures on feature importance and the impact of a variable for a prediction. Interestingly, SHAP interpretations were in accordance with what is generally observed in the compressive behavior of concrete, thus validating the causality of ML predictions.
Wang M., Thakur M., Peng M., Jiang Y., Frantz L.A., Li M., Zhang J., Wang S., Peters J., Otecko N.O., Suwannapoom C., Guo X., Zheng Z., Esmailizadeh A., Hirimuthugoda N.Y., et. al.
Cell Research scimago Q1 wos Q1
2020-06-25 citations by CoLab: 181 Abstract  
Despite the substantial role that chickens have played in human societies across the world, both the geographic and temporal origins of their domestication remain controversial. To address this issue, we analyzed 863 genomes from a worldwide sampling of chickens and representatives of all four species of wild jungle fowl and each of the five subspecies of red jungle fowl (RJF). Our study suggests that domestic chickens were initially derived from the RJF subspecies Gallus gallus spadiceus whose present-day distribution is predominantly in southwestern China, northern Thailand and Myanmar. Following their domestication, chickens were translocated across Southeast and South Asia where they interbred locally with both RJF subspecies and other jungle fowl species. In addition, our results show that the White Leghorn chicken breed possesses a mosaic of divergent ancestries inherited from other subspecies of RJF. Despite the strong episodic gene flow from geographically divergent lineages of jungle fowls, our analyses show that domestic chickens undergo genetic adaptations that underlie their unique behavioral, morphological and reproductive traits. Our study provides novel insights into the evolutionary history of domestic chickens and a valuable resource to facilitate ongoing genetic and functional investigations of the world’s most numerous domestic animal.
EL Sabagh A., Islam M.S., Hossain A., Iqbal M.A., Mubeen M., Waleed M., Reginato M., Battaglia M., Ahmed S., Rehman A., Arif M., Athar H., Ratnasekera D., Danish S., Raza M.A., et. al.
Frontiers in Agronomy scimago Q1 wos Q1 Open Access
2022-03-03 citations by CoLab: 164 PDF Abstract  
Phytohormones (PHs) play crucial role in regulation of various physiological and biochemical processes that govern plant growth and yield under optimal and stress conditions. The interaction of these PHs is crucial for plant survival under stressful environments as they trigger signaling pathways. Hormonal cross regulation initiate a cascade of reactions which finely tune the physiological processes in plant architecture that help plant to grow under suboptimal growth conditions. Recently, various studies have highlighted the role of PHs such as abscisic acid, salicylic acid, ethylene, and jasmonates in the plant responses toward environmental stresses. The involvement of cytokinins, gibberellins, auxin, and relatively novel PHs such as strigolactones and brassinosteroids in plant growth and development has been documented under normal and stress conditions. The recent identification of the first plant melatonin receptor opened the door to this regulatory molecule being considered a new plant hormone. However, polyamines, which are not considered PHs, have been included in this chapter. Various microbes produce and secrete hormones which helped the plants in nutrient uptake such as N, P, and Fe. Exogenous use of such microbes help plants in correcting nutrient deficiency under abiotic stresses. This chapter focused on the recent developments in the knowledge related to PHs and their involvement in abiotic stresses of anticipation, signaling, cross-talk, and activation of response mechanisms. In view of role of hormones and capability of microbes in producing hormones, we propose the use of hormones and microbes as potential strategy for crop stress management.
Sirunyan A.M., Tumasyan A., Adam W., Ambrogi F., Arnold B., Bergauer H., Bergauer T., Dragicevic M., Erö J., Valle A.E., Flechl M., Frühwirth R., Jeitler M., Krammer N., Krätschmer I., et. al.
Journal of Instrumentation scimago Q2 wos Q3
2020-10-19 citations by CoLab: 160 Abstract  
At the start of Run 2 in 2015, the LHC delivered proton-proton collisions at a center-of-mass energy of 13 TeV. During Run 2 (years 2015-2018) the LHC eventually reached a luminosity of 2.1 $\times$ 10$^{34}$ cm$^{-2}$ s$^{-1}$, almost three times that reached during Run 1 (2009-2013) and a factor of two larger than the LHC design value, leading to events with up to a mean of about 50 simultaneous inelastic proton-proton collisions per bunch crossing (pileup). The CMS Level-1 trigger was upgraded prior to 2016 to improve the selection of physics events in the challenging conditions posed by the second run of the LHC. This paper describes the performance of the CMS Level-1 trigger upgrade during the data taking period of 2016-2018. The upgraded trigger implements pattern recognition and boosted decision tree regression techniques for muon reconstruction, includes pileup subtraction for jets and energy sums, and incorporates pileup-dependent isolation requirements for electrons and tau leptons. In addition, the new trigger calculates high-level quantities such as the invariant mass of pairs of reconstructed particles. The upgrade reduces the trigger rate from background processes and improves the trigger efficiency for a wide variety of physics signals.
Sirunyan A.M., Tumasyan A., Adam W., Andrejkovic J.W., Bergauer T., Chatterjee S., Dragicevic M., Valle A.E., Frühwirth R., Jeitler M., Krammer N., Lechner L., Liko D., Mikulec I., Pitters F.M., et. al.
European Physical Journal C scimago Q1 wos Q2 Open Access
2021-09-09 citations by CoLab: 149 PDF Abstract  
AbstractThe measurement of the luminosity recorded by the CMS detector installed at LHC interaction point 5, using proton–proton collisions at $$\sqrt{s}=13\,{\text {TeV}} $$ s = 13 TeV in 2015 and 2016, is reported. The absolute luminosity scale is measured for individual bunch crossings using beam-separation scans (the van der Meer method), with a relative precision of 1.3 and 1.0% in 2015 and 2016, respectively. The dominant sources of uncertainty are related to residual differences between the measured beam positions and the ones provided by the operational settings of the LHC magnets, the factorizability of the proton bunch spatial density functions in the coordinates transverse to the beam direction, and the modeling of the effect of electromagnetic interactions among protons in the colliding bunches. When applying the van der Meer calibration to the entire run periods, the integrated luminosities when CMS was fully operational are 2.27 and 36.3 $$\,\text {fb}^{-1}$$ fb - 1 in 2015 and 2016, with a relative precision of 1.6 and 1.2%, respectively. These are among the most precise luminosity measurements at bunched-beam hadron colliders.
Wickramasinghe K.C., Sasahara H., Rahim E.A., Perera G.I.
Journal of Cleaner Production scimago Q1 wos Q1 Open Access
2020-06-01 citations by CoLab: 124 Abstract  
Machining is widely used to produce machine components for various applications in automotive, aerospace, and marine industries. The numbers of machining operations have greatly increased over the last few decades with the increase in the demand for machine elements and innovations in the manufacturing field. Mineral-based Metalworking Fluids (MWFs) are frequently used in bulk during a cutting process to obtain dimensional accuracy and better surface quality on machined elements, but researchers have documented several adverse health and environment effects of MWFs. As a sustainable alternative to mineral oil, vegetable oil has shown better performance during operations without any harmful effects on human health or ecological systems. Herein, the health and environmental effects of the mineral oil-based MWFs are reviewed in detail, and sustainable application possibilities for process optimization in machining using vegetable oil based nanofluids are highlighted.
Sirunyan A.M., Tumasyan A., Adam W., Ambrogi F., Bergauer T., Dragicevic M., Erö J., Valle A.E., Flechl M., Frühwirth R., Jeitler M., Krammer N., Krätschmer I., Liko D., Madlener T., et. al.
Journal of Instrumentation scimago Q2 wos Q3
2020-09-15 citations by CoLab: 93 Abstract  
With increasing instantaneous luminosity at the LHC come additional reconstruction challenges. At high luminosity, many collisions occur simultaneously within one proton-proton bunch crossing. The isolation of an interesting collision from the additional "pileup" collisions is needed for effective physics performance. In the CMS Collaboration, several techniques capable of mitigating the impact of these pileup collisions have been developed. Such methods include charged-hadron subtraction, pileup jet identification, isospin-based neutral particle "$\delta\beta$" correction, and, most recently, pileup per particle identification. This paper surveys the performance of these techniques for jet and missing transverse momentum reconstruction, as well as muon isolation. The analysis makes use of data corresponding to 35.9 fb$^{-1}$ collected with the CMS experiment in 2016 at a center-of-mass energy of 13 TeV. The performance of each algorithm is discussed for up to 70 simultaneous collisions per bunch crossing. Significant improvements are found in the identification of pileup jets, the jet energy, mass, and angular resolution, missing transverse momentum resolution, and muon isolation when using pileup per particle identification.
Sirunyan A.M., Tumasyan A., Adam W., Andrejkovic J.W., Bergauer T., Chatterjee S., Dragicevic M., Escalante Del Valle A., Frühwirth R., Jeitler M., Krammer N., Lechner L., Liko D., Mikulec I., Pitters F.M., et. al.
Journal of High Energy Physics scimago Q2 wos Q1 Open Access
2021-07-01 citations by CoLab: 93 PDF Abstract  
A search is presented for physics beyond the standard model (SM) using electron or muon pairs with high invariant mass. A data set of proton-proton collisions collected by the CMS experiment at the LHC at $$ \sqrt{s} $$ = 13 TeV from 2016 to 2018 corresponding to a total integrated luminosity of up to 140 fb−1 is analyzed. No significant deviation is observed with respect to the SM background expectations. Upper limits are presented on the ratio of the product of the production cross section and the branching fraction to dileptons of a new narrow resonance to that of the Z boson. These provide the most stringent lower limits to date on the masses for various spin-1 particles, spin-2 gravitons in the Randall-Sundrum model, as well as spin-1 mediators between the SM and dark matter particles. Lower limits on the ultraviolet cutoff parameter are set both for four-fermion contact interactions and for the Arkani-Hamed, Dimopoulos, and Dvali model with large extra dimensions. Lepton flavor universality is tested at the TeV scale for the first time by comparing the dimuon and dielectron mass spectra. No significant deviation from the SM expectation of unity is observed.
Matthews J., Veliz L., Gunawardane R., Partridge D.
Language Teaching Research scimago Q1 wos Q1
2025-02-19 citations by CoLab: 0 Abstract  
Theorizing teacher identity is an important component of effective language teacher education. The current study maps the professional identities of 20 practicing teachers of English as an additional language (EAL) from two distinct contexts: Sri Lanka ( n = 10) and Australia ( n = 10). Data tapping each participant’s professional identity was elicited with semi-structured interviews structured around three domains: personal experience, professional context and external political environment. From the resultant teacher discourse, thematic analysis was applied to identify nine themes that teachers from both contexts perceived as being influential in the development of their professional identities, with two of these themes being perceived by some teachers as being of limited or no influence. These themes are defined and elucidated with quotes. Key differences in the way themes were manifested among the Sri Lankan and Australian teachers are also described. Findings provide a reference for language teachers’ critical reflection on their professional identities, especially those at the beginning of their careers.
Ahamed A., Samaranayake P., Silva V.D., Kooh M.R., Wickramage N., Rajapaksha I.G., Thotagamuge R.
Molecules scimago Q1 wos Q2 Open Access
2025-02-14 citations by CoLab: 0 PDF Abstract  
This study investigates the pH-responsive dissociation mechanism of carbon dot (CD) conjugated with the anticancer peptide proximicin-A (PROXI) using density functional theory (DFT) simulations. The CD@PROXI system, designed for targeted cancer therapy, releases the drug in acidic environments typical of cancer sites. DFT simulations, with the B3LYP-D3BJ functional and 6-311G (d, p) basis set, optimized the conjugate’s geometry under neutral and acidic conditions. The focus was on the pH-sensitive C=N bond, existing in two protonation states. Key parameters evaluated included the HOMO-LUMO gap, bond length, IR spectroscopy, non-covalent interaction (NCI), electron localization function (ELF), density of states (DOSs), and electrostatic potential (ESP). Under neutral pH, the system showed stability with a HOMO-LUMO gap of 3.22 eV, indicating low reactivity. In acidic pH, this gap decreased to 0.40 eV, suggesting higher reactivity and potential for drug release. IR spectroscopy indicated weakened C=N bonds in acidic conditions, with bond length increasing from 1.288 Å to 1.324 Å. NCI analysis revealed increased van der Waals interactions, supporting bond weakening. ELF analysis showed electron localization at reactive sites, while DOS profiles and ESP maps highlighted distinct electronic states and potential dissociation regions in acidic conditions. These findings confirm the potential of CD@PROXI for targeted cancer therapy, with drug release triggered by the acidic tumor microenvironment.
Tumasyan A., Adam W., Andrejkovic J.W., Bergauer T., Chatterjee S., Damanakis K., Dragicevic M., Escalante Del Valle A., Frühwirth R., Jeitler M., Krammer N., Lechner L., Liko D., Mikulec I., Paulitsch P., et. al.
Journal of High Energy Physics scimago Q2 wos Q1 Open Access
2025-02-07 citations by CoLab: 0 PDF Abstract  
Abstract A search is presented for the resonant production of a pair of standard model-like Higgs bosons using data from proton-proton collisions at a centre-of-mass energy of 13 TeV, collected by the CMS experiment at the CERN LHC in 2016–2018, corresponding to an integrated luminosity of 138 fb −1. The final state consists of two b quark-antiquark pairs. The search is conducted in the region of phase space where at least one of the pairs is highly Lorentz-boosted and is reconstructed as a single large-area jet. The other pair may be either similarly merged or resolved, the latter reconstructed using two b-tagged jets. The data are found to be consistent with standard model processes and are interpreted as 95% confidence level upper limits on the product of the cross sections and the branching fractions of the spin-0 radion and the spin-2 bulk graviton that arise in warped extradimensional models. The limits set are in the range 9.74–0.29 fb and 4.94–0.19 fb for a narrow radion and a graviton, respectively, with masses between 1 and 3 TeV. For a radion and for a bulk graviton with widths 10% of their masses, the limits are in the range 12.5–0.35 fb and 8.23–0.23 fb, respectively, for the same masses. These limits result in the exclusion of a narrow-width graviton with a mass below 1.2 TeV, and of narrow and 10%-width radions with masses below 2.6, and 2.9 TeV, respectively.
Hayrapetyan A., Tumasyan A., Adam W., Andrejkovic J.W., Bergauer T., Chatterjee S., Damanakis K., Dragicevic M., Hussain P.S., Jeitler M., Krammer N., Li A., Liko D., Mikulec I., Schieck J., et. al.
Journal of High Energy Physics scimago Q2 wos Q1 Open Access
2025-02-06 citations by CoLab: 1 PDF Abstract  
Abstract A search for long-lived heavy neutral leptons (HNLs) using proton-proton collision data corresponding to an integrated luminosity of 138 fb −1 collected at $$ \sqrt{s} $$ s = 13 TeV with the CMS detector at the CERN LHC is presented. Events are selected with a charged lepton originating from the primary vertex associated with the proton-proton interaction, as well as a second charged lepton and a hadronic jet associated with a secondary vertex that corresponds to the semileptonic decay of a long-lived HNL. No excess of events above the standard model expectation is observed. Exclusion limits at 95% confidence level are evaluated for HNLs that mix with electron and/or muon neutrinos. Limits are presented in the mass range of 1–16.5 GeV, with excluded square mixing parameter values reaching as low as 2 × 10 −7. For masses above 11 GeV, the presented limits exceed all previous results in the semileptonic decay channel, and for some of the considered scenarios are the strongest to date.
Tennakoon A., Galahitigama H., Samarakoon S.M., Perera I.J., Thakshila G.P., Thiruketheeswaranathan S., Roshana M.R., Sandamal S., Sewwandi G.P., Bellanthudawa B.K.
2025-02-06 citations by CoLab: 1
Weerakoon T., Halloluwa T.
2025-01-30 citations by CoLab: 0 Abstract  
Cricket, a sport steeped in history with a well-established governing body and thriving economy, places immense importance on selecting winning team combinations comprising batsmen, bowlers, and all-rounders. The traditional selection process is meticulous but often biased. This study proposes a data-driven approach utilizing historic match data under complex dynamics for optimal team selection in cricket. Secondary data from Sri Lankan One Day International matches since 2009 was feature-engineered, including derived pitch conditions from historic pitch report data. A neural network with 7 dense layers, using 7 input features and classifying into three outputs, achieved a 76% performance under an 80:20 split on training and testing data for 100 epochs. Additionally, three Fuzzy Inference Systems were developed for player rating based on historic performances, achieving accuracies of 75%, 67%, and 62% for Batting Performance FIS, Bowling Performance FIS, and All-rounder Performance FIS, respectively. Despite inheriting a data imbalance problem and unmeasurable attributes such as psychological and physiological aspects, the study's deliverables serve as decision support models for cricket team selection. Future work should focus on empirical methodologies to enhance the performance of neural network models and Fuzzy Logic Inference Systems, ensuring a more adaptable squad selection model in cricket.
Hayrapetyan A., Tumasyan A., Adam W., Andrejkovic J. ., Bergauer T., Chatterjee S., Damanakis K., Dragicevic M., Hussain P. ., Jeitler M., Krammer N., Li A., Liko D., Mikulec I., Schieck J., et. al.
Physical Review Letters scimago Q1 wos Q1 Open Access
2025-01-30 citations by CoLab: 0 Abstract  
A search is presented for an extended Higgs sector with two new particles, X and ϕ, in the process X→ϕϕ→(γγ)(γγ). Novel neural networks classify events with diphotons that are merged and determine the diphoton masses. The search uses LHC proton-proton collision data at s=13  TeV collected with the CMS detector, corresponding to an integrated luminosity of 138  fb−1. No evidence of such resonances is seen. Upper limits are set on the production cross section for mX between 300 and 3000 GeV and mϕ/mX between 0.5% and 2.5%, representing the most sensitive search in this channel. © 2025 CERN, for the CMS Collaboration 2025 CERN
Kajakokulan P., Santoso A., Zhao S.
Climate Dynamics scimago Q1 wos Q2
2025-01-28 citations by CoLab: 0 Abstract  
Many studies have highlighted an asymmetry in rainfall anomalies over India between the warm phase (El Niño) and the cold phase (La Niña) of the El Niño-Southern Oscillation (ENSO). However, the extent to which the distinctive phases of ENSO influence the asymmetry pattern of Sri Lanka rainfall remains unclear. In this study, utilizing observational/reanalysis datasets for the period 1981–2022, we found that Sri Lanka's winter rainfall response to El Niño/La Niña is asymmetric, with a significant response during El Niño. During the El Niño peak winter, the presence of PSAC (Philippine Sea anomalous anticyclone) results in the prevailing anticyclone over the Bay of Bengal (BoB), suppressing moisture convergence and rainfall over Sri Lanka. On the other hand, the PSCC (Philippine Sea anomalous cyclone), which has shifted westward during the La Niña. This shift enhances cyclone over the BoB, resulting in enhanced moisture convergence and rainfall over Sri Lanka, with a magnitude that is weaker than that of the El Niño-induced PSAC. This results in the emergence of asymmetric rainfall anomaly patterns in Sri Lanka in the El Niño and La Niña peak phases. Thus, this study highlights that the asymmetric circulation of PSAC/PSCC during the ENSO phenomenon contributes to the observed asymmetry in rainfall anomalies between El Niño and La Niña events and has important implications for seasonal forecasting.
Hayrapetyan A., Tumasyan A., Adam W., Andrejkovic J. ., Bergauer T., Chatterjee S., Damanakis K., Dragicevic M., Escalante Del Valle A., Hussain P. ., Jeitler M., Krammer N., Liko D., Mikulec I., Schieck J., et. al.
Physical Review D scimago Q1 wos Q1
2025-01-24 citations by CoLab: 0 Abstract  
A search is performed for charged-lepton flavor violating processes in top quark (t) production and decay. The data were collected by the CMS experiment from proton-proton collisions at a center-of-mass energy of 13 TeV and correspond to an integrated luminosity of 138  fb−1. The selected events are required to contain one opposite-sign electron-muon pair, a third charged lepton (electron or muon), and at least one jet of which no more than one is associated with a bottom quark. Boosted decision trees are used to distinguish signal from background, exploiting differences in the kinematics of the final states particles. The data are consistent with the standard model expectation. Upper limits at 95% confidence level are placed in the context of effective field theory on the Wilson coefficients, which range between 0.024–0.424  TeV−2 depending on the flavor of the associated light quark and the Lorentz structure of the interaction. These limits are converted to upper limits on branching fractions involving up (charm) quarks, t→eμu (t→eμc), of 0.032(0.498)×10−6, 0.022(0.369)×10−6, and 0.012(0.216)×10−6 for tensorlike, vectorlike, and scalarlike interactions, respectively. © 2025 CERN, for the CMS Collaboration 2025 CERN
Rajakulasooriya R.S., Fernando S.S., Gunasekara T.D., Jayaweera P.M., Kumarasinghe K.G., Thabrew H.H., Chan E., Buddhika R.B., Weerasinghe G.G., Karunarathna K.A.
BMC pharmacology & toxicology scimago Q2 wos Q2 Open Access
2025-01-23 citations by CoLab: 0 PDF Abstract  
Dermatophytes, the primary causative agents of superficial cutaneous fungal infections in humans, present a significant therapeutic challenge owing to the increasing prevalence of recurrent infections and the emergence of antifungal resistance. To address this critical gap, this study was designed to investigate the antifungal potential of 3-benzylideneindolin-2-one against dermatophytes and assess its in vivo toxicological profile using brine shrimp and zebrafish embryo models. The antifungal activity of 3-benzylideneindolin-2-one was evaluated against 30 clinical isolates of dermatophyte species, including Trichophyton mentagrophytes, Trichophyton rubrum, Microsporum gypseum, Microsporum canis, and Epidermophyton floccosum, by determining the minimum inhibitory concentration (MIC) and minimum fungicidal concentration (MFC) using the broth microdilution method. The fungicidal activity was evaluated using time-kill assays. Toxicological effects were investigated using the brine shrimp lethality assay to determine Artemia salina nauplii mortality after 48 h of exposure, and the fish embryo acute toxicity test, which assessed lethality and developmental abnormalities in zebrafish (Danio rerio) embryos over a 96 h post-fertilization period. 3-Benzylideneindolin-2-one exhibited consistent fungicidal activity across all dermatophyte species, with MICs ranging from 0.25 to 8 mg/L and MFCs ranging from 1 to 32 mg/L. Time-kill assays revealed a concentration-dependent fungicidal effect on the microconidia. The compound exhibited moderate toxicity to A. salina nauplii, with LC50 values of 69.94 mg/L and 52.70 mg/L at 24 and 48 h, respectively, while showing no significant lethality within the MIC range. In zebrafish embryos, concentrations below 7.5 mg/L did not significantly affect lethality, hatchability, or induce morphological abnormalities. However, at a concentration of 10 mg/L, the compound induced mild toxicity in embryos, evidenced by a significant increase in mortality and the presence of morphological anomalies such as yolk-sac and pericardial edema compared to the control group. The consistent antifungal activity of 3-benzylideneindolin-2-one against clinically significant dermatophyte species, combined with its low toxicity within the therapeutic window, underscores its potential as a promising lead compound for the development of effective therapeutics for dermatophytosis.
Kusuminda T., Chandrathilake G.G., Abegunawardhana P.D., Abeyrathne S., Senthila V.T., Amarasinghe C., Mannakkara A., Yapa W.B.
Mammalia scimago Q2 wos Q3
2025-01-23 citations by CoLab: 0 Abstract  
Abstract Tickell’s bat (Hesperoptenus tickelli) is a medium-sized bat belonging to the family Vespertilionidae. This species was rarely recorded in recent surveys in its range. Similarly, this species has not been recorded in Sri Lanka since 1963. Further, it is assumed to roost in dense foliage of tall trees. We report three opportunistic records of this species from Sri Lanka after 58 years, along with notes on its roosting ecology. We highlight the importance of comprehensive studies on the life history of this species for better conservation and management.
Kumar R., Pan C., Lin Y., Shiue Y., Chung T., Janesha U.G.
Diagnostics scimago Q2 wos Q1 Open Access
2025-01-22 citations by CoLab: 0 PDF Abstract  
Background: The global burden of respiratory diseases such as influenza, tuberculosis, and viral pneumonia necessitates rapid, accurate diagnostic tools to improve healthcare responses. Current methods, including RT-PCR and chest radiography, face limitations in accuracy, speed, accessibility, and cost-effectiveness, especially in resource-constrained settings, often delaying treatment and increasing transmission. Methods: This study introduces an Enhanced Multi-Model Deep Learning (EMDL) approach to address these challenges. EMDL integrates an ensemble of five pre-trained deep learning models (VGG-16, VGG-19, ResNet, AlexNet, and GoogleNet) with advanced image preprocessing (histogram equalization and contrast enhancement) and a novel multi-stage feature selection and optimization pipeline (PCA, SelectKBest, Binary Particle Swarm Optimization (BPSO), and Binary Grey Wolf Optimization (BGWO)). Results: Evaluated on two independent chest X-ray datasets, EMDL achieved high accuracy in the multiclass classification of influenza, pneumonia, and tuberculosis. The combined image enhancement and feature optimization strategies significantly improved diagnostic precision and model robustness. Conclusions: The EMDL framework provides a scalable and efficient solution for accurate and accessible pulmonary disease diagnosis, potentially improving treatment efficacy and patient outcomes, particularly in resource-limited settings.
Hayrapetyan A., Tumasyan A., Adam W., Andrejkovic J.W., Bergauer T., Chatterjee S., Damanakis K., Dragicevic M., Hussain P.S., Jeitler M., Krammer N., Li A., Liko D., Mikulec I., Schieck J., et. al.
Journal of High Energy Physics scimago Q2 wos Q1 Open Access
2025-01-21 citations by CoLab: 0 PDF Abstract  
Abstract The first measurement of the inclusive and normalised differential cross sections of single top quark production in association with a W boson in proton-proton collisions at a centre-of-mass energy of 13.6 TeV is presented. The data were recorded with the CMS detector at the LHC in 2022, and correspond to an integrated luminosity of 34.7 fb −1. The analysed events contain one muon and one electron in the final state. For the inclusive measurement, multivariate discriminants exploiting the kinematic properties of the events are used to separate the signal from the dominant top quark-antiquark production background. A cross section of $$ 82.3\pm 2.1{\left(\textrm{stat}\right)}_{-9.7}^{+9.9}\left(\textrm{syst}\right)\pm 3.3\left(\textrm{lumi}\right) $$ 82.3 ± 2.1 stat − 9.7 + 9.9 syst ± 3.3 lumi pb is obtained, consistent with the predictions of the standard model. A fiducial region is defined according to the detector acceptance to perform the differential measurements. The resulting differential distributions are unfolded to particle level and show good agreement with the predictions at next-to-leading order in perturbative quantum chromodynamics.
Dilanthi H.W., Jayasena K.L., Dhammika N.D., Indika N.L., De Silva M.M., Kankananarachchi I., Punchihewa P.M., Irugalbandara D., Schroeder S., Karunaratne K., Jasinge E.
JIMD Reports scimago Q2 Open Access
2025-01-21 citations by CoLab: 0 PDF Abstract  
ABSTRACTHomocystinuria due to cystathionine beta‐synthase (CBS) deficiency is a rare metabolic disorder inherited as an autosomal recessive trait. Spectrum of genetic variants in CBS gene and their correlation with the phenotypes of homocystinuria in Sri Lankan patients have not been reported to date. The objective of this study was to identify the genotypes and genotype–phenotype correlations in a cohort of Sri Lankan patients with homocystinuria due to CBS deficiency. We determined the variants in CBS gene in 14 Sri Lankan patients with homocystinuria, from 9 unrelated families. The clinical features and the biochemical response to pyridoxine were studied for further correlations. Among the 14 patients, the common clinical features were ectopia lentis (100%), intellectual disability (92%) and marfanoid features (78%) at presentation while three of them had developed osteoporosis (21%). Median age at diagnosis was 8 years (range 2–12). Three pathogenic variants (c.1006C>T, c.785C>T and c.19del) and two likely pathogenic variants (c.869C>T, c.772G>A) in CBS gene were identified. Thirteen patients with homozygous genotypes were non‐responsive to pyridoxine while the only patient with the compound heterozygous genotype (c.869C>T/c.772G>A) responded to pyridoxine treatment. The genotypic spectrum observed in Sri Lankan patients is unique and mostly associated with pyridoxine non‐responsiveness. The majority of the patients were identified clinically at a later stage of the disease due to lack of a screening programme in the country. Therefore, it is important to improve the awareness of the disease among the clinicians in the interest of early diagnosis and early commencement of metabolic treatment.
Kajakokulan P.
2025-01-20 citations by CoLab: 3 Abstract  
Recent studies have shown that the Pacific-Japan (PJ) pattern is the dominant climate mode and has a relationship with rainfall anomalies in East Asia. However, the influence of the PJ pattern on the rainfall of Sri Lanka remains largely unclear. Therefore, the present study examines the impact of the PJ pattern on the rainfall of Sri Lanka during the boreal summer utilizing observational and reanalysis datasets from 1981 to 2020. It is noted that the PJ pattern has a significant positive relationship with rainfall in Sri Lanka during the boreal summer. Furthermore, based on the composite analysis, we found that Sri Lanka experiences wet conditions during the positive phase of the PJ pattern in the summer, while the negative phase of the PJ pattern contributes to dry conditions. During the positive phase of the PJ pattern, moisture convergence over Sri Lanka is associated with the easterlies extending from the southern flank of Western North Pacific anomalous anticyclonic circulation, which results in enhanced convection and wet conditions over Sri Lanka. On the other hand, moisture divergence over Sri Lanka is linked with the westerlies extending from the southern flank of the Western North Pacific anomalous cyclonic circulation, decreasing the convection and dry conditions over Sri Lanka. This study suggests that the PJ pattern is a significant climate mode for understanding the rainfall pattern in Sri Lanka.

Since 1980

Total publications
2217
Total citations
34437
Citations per publication
15.53
Average publications per year
48.2
Average authors per publication
478.86
h-index
75
Metrics description

Top-30

Fields of science

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Nuclear and High Energy Physics, 329, 14.84%
General Medicine, 238, 10.74%
General Chemistry, 118, 5.32%
General Materials Science, 116, 5.23%
Condensed Matter Physics, 114, 5.14%
Public Health, Environmental and Occupational Health, 108, 4.87%
Aquatic Science, 98, 4.42%
Pollution, 83, 3.74%
Infectious Diseases, 75, 3.38%
Ecology, Evolution, Behavior and Systematics, 72, 3.25%
Health, Toxicology and Mutagenesis, 70, 3.16%
Water Science and Technology, 70, 3.16%
Engineering (miscellaneous), 70, 3.16%
Physics and Astronomy (miscellaneous), 64, 2.89%
Plant Science, 62, 2.8%
Environmental Chemistry, 62, 2.8%
Agronomy and Crop Science, 60, 2.71%
General Environmental Science, 57, 2.57%
Environmental Engineering, 53, 2.39%
Ecology, 47, 2.12%
Renewable Energy, Sustainability and the Environment, 46, 2.07%
Civil and Structural Engineering, 45, 2.03%
Food Science, 44, 1.98%
Biochemistry, 43, 1.94%
Management, Monitoring, Policy and Law, 43, 1.94%
Applied Mathematics, 42, 1.89%
Animal Science and Zoology, 41, 1.85%
Waste Management and Disposal, 41, 1.85%
Building and Construction, 40, 1.8%
Pharmacology, 38, 1.71%
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With other countries

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USA, 676, 30.49%
China, 639, 28.82%
India, 606, 27.33%
United Kingdom, 593, 26.75%
Belgium, 511, 23.05%
Germany, 508, 22.91%
Republic of Korea, 494, 22.28%
Italy, 481, 21.7%
Pakistan, 481, 21.7%
Thailand, 478, 21.56%
Malaysia, 475, 21.43%
Switzerland, 468, 21.11%
Hungary, 461, 20.79%
Spain, 460, 20.75%
Finland, 460, 20.75%
France, 458, 20.66%
Brazil, 457, 20.61%
Austria, 456, 20.57%
Czech Republic, 456, 20.57%
Bulgaria, 455, 20.52%
Egypt, 455, 20.52%
Mexico, 455, 20.52%
Turkey, 455, 20.52%
Lithuania, 454, 20.48%
Iran, 453, 20.43%
Greece, 451, 20.34%
Poland, 451, 20.34%
Croatia, 450, 20.3%
Ukraine, 449, 20.25%
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  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 1980 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.