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103. Identification of Lung Cancer Using Particle Swarm Optimization and Machine Learning Technique

Author

Kabir, Sheikh Ridwan Raihan, Mondal, Hirak, Nag, Anindya, Jamil, S. M. Hasan, Das, Piya, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Mahmud, Mufti, editor, Kaiser, M. Shamim, editor, Bandyopadhyay, Anirban, editor, Ray, Kanad, editor, and Al Mamun, Shamim, editor

Published
2025
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104. Optimisation of Abrasive Waterjet Milling Technique for Pocket Milling Operations

Author

Nag, Akash, Klichová, Dagmar, Hlaváček, Petr, Petrů, Jana, Hloch, Sergej, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A. M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Sitek, Libor, editor, Valentinčič, Joško, editor, Trieb, Franz H., editor, and Hloch, Sergej, editor

Published
2025
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105. Numerical and Experimental Study of Oscillating Water Jets Injected in Submerged Conditions

Author

Miranda, Fernando Kevin, Zeleňák, Michal, Říha, Zdeněk, Nag, Akash, Souček, Kamil, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A. M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Sitek, Libor, editor, Valentinčič, Joško, editor, Trieb, Franz H., editor, and Hloch, Sergej, editor

Published
2025
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106. The Effect of Multiple Impacts of Water Droplets on the Integrity of CFRP Composite

Author

Chlupová, Alice, Poloprudský, Jakub, Nag, Akash, Hloch, Sergej, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A. M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Sitek, Libor, editor, Valentinčič, Joško, editor, Trieb, Franz H., editor, and Hloch, Sergej, editor

Published
2025
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107. Influence of Erosion Time on HVOF-Sprayed Cermet Coating: Preliminary Study

Author

Poloprudský, Jakub, Vražina, Tomáš, Nag, Akash, Stolárik, Gabriel, Chlupová, Alice, Zábranský, Karel, Gejdoš, Pavel, Čelko, Ladislav, Hloch, Sergej, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A. M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Sitek, Libor, editor, Valentinčič, Joško, editor, Trieb, Franz H., editor, and Hloch, Sergej, editor

Published
2025
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108. Influence of Liquid Viscosity on the Origin and Propagation of Self-Excited Oscillations

Author

Zeleňák, Michal, Foldyna, Vladimír, Říha, Zdeněk, Miranda, Fernando Kevin, Nag, Akash, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A. M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Sitek, Libor, editor, Valentinčič, Joško, editor, Trieb, Franz H., editor, and Hloch, Sergej, editor

Published
2025
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109. SafaRi: Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation

Author

Nag, Sayan, Goswami, Koustava, Karanam, Srikrishna, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Leonardis, Aleš, editor, Ricci, Elisa, editor, Roth, Stefan, editor, Russakovsky, Olga, editor, Sattler, Torsten, editor, and Varol, Gül, editor

Published
2025
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110. Towards Justice-Oriented Science Teaching: Examining the Impact of the Science Capital Teaching Approach on Teachers

Author

Chowdhuri, Meghna Nag, King, Heather, Godec, Spela, and Archer, Louise

Abstract

While several initiatives for justice-oriented pedagogies have been developed and implemented over the years, there is limited understanding of the ways in which teachers, and their practice, are impacted by these. This article presents data documenting the impact of a pedagogical approach -- the science capital teaching approach -- on a cohort of teachers. The approach, developed over a period of six years working in close partnership with primary and secondary teachers in England, aimed to support teachers to move towards more equitable and socially just pedagogical practice. This article explores the empirical impact of the approach on teacher practice. The data set comprises the experiences of 43 secondary and 20 Primary school teachers from different geographical regions in England, covering both rural and urban schools. Qualitative data include teacher interviews, observations and discussions and indicate that implementation of the approach resulted in a range of changes: (1) a deepened understanding of, and reflection on, issues of power and equity; (2) greater sharing of authorial roles with students; and (3) stronger relationships of trust between students and teachers. The article concludes by arguing that the implementation of the science capital teaching approach has had a positive effect on teachers and has supported their practice of justice-oriented science teaching.

Published
2023

127. Generation of higher-order topological insulators using periodic driving

Author

Ghosh, Arnob Kumar, Nag, Tanay, and Saha, Arijit

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science
Abstract

Topological insulators~(TIs) are a new class of materials that resemble ordinary band insulators in terms of a bulk band gap but exhibit protected metallic states on their boundaries. In this modern direction, higher-order TIs~(HOTIs) are a new class of TIs in dimensions $d>1$. These HOTIs possess $(d - 1)$-dimensional boundaries that, unlike those of conventional TIs, do not conduct via gapless states but are themselves TIs. Precisely, an $n^{\rm th}$ order $d$-dimensional higher-order topological insulator is characterized by the presence of boundary modes that reside on its $d_c=(d-n)$-dimensional boundary. For instance, a three-dimensional second (third) order TI hosts gapless (localized) modes on the hinges (corners), characterized by $d_c = 1 (0)$. Similarly, a second-order TI in two dimensions only has localized corner states ($d_c = 0$). These higher-order phases are protected by various crystalline as well as discrete symmetries. The non-equilibrium tunability of the topological phase has been a major academic challenge where periodic Floquet drive provides us golden opportunity to overcome that barrier. Here, we discuss different periodic driving protocols to generate Floquet higher-order TIs while starting from a non-topological or first-order topological phase. Furthermore, we emphasize that one can generate the dynamical anomalous $\pi$-modes along with the concomitant $0$-modes. The former can be realized only in a dynamical setup. We exemplify the Floquet higher-order topological modes in two and three dimensions in a systematic way. Especially, in two dimensions, we demonstrate a Floquet second-order TI hosting $0$- and $\pi$ corner modes. Whereas a three-dimensional Floquet second-order TI and Floquet third-order TI manifest one- and zero-dimensional hinge and corner modes, respectively., Comment: Invited Topical Review Article for JPCM. This is the published version

Published
2023
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128. Roadmap on Perovskite Light-Emitting Diodes

Author

Chen, Ziming, Hoye, Robert L. Z., Yip, Hin-Lap, Fiuza-Maneiro, Nadesh, López-Fernández, Iago, Otero-Martínez, Clara, Polavarapu, Lakshminarayana, Mondal, Navendu, Mirabelli, Alessandro, Anaya, Miguel, Stranks, Samuel D., Liu, Hui, Shi, Guangyi, Xiao, Zhengguo, Kim, Nakyung, Kim, Yunna, Shin, Byungha, Shi, Jinquan, Liu, Mengxia, Zhang, Qianpeng, Fan, Zhiyong, Loy, James C., Zhao, Lianfeng, Rand, Barry P., Arfin, Habibul, Saikia, Sajid, Nag, Angshuman, Zou, Chen, Lin, Lih Y., Xiang, Hengyang, Zeng, Haibo, Liu, Denghui, Su, Shi-Jian, Wang, Chenhui, Zhong, Haizheng, Xuan, Tong-Tong, Xie, Rong-Jun, Bao, Chunxiong, Gao, Feng, Gao, Xiang, Qin, Chuanjiang, Kim, Young-Hoon, and Beard, Matthew C.

Subjects
Physics - Optics, Physics - Applied Physics
Abstract

In recent years, the field of metal-halide perovskite emitters has rapidly emerged as a new community in solid-state lighting. Their exceptional optoelectronic properties have contributed to the rapid rise in external quantum efficiencies (EQEs) in perovskite light-emitting diodes (PeLEDs) from <1% (in 2014) to approaching 30% (in 2023) across a wide range of wavelengths. However, several challenges still hinder their commercialization, including the relatively low EQEs of blue/white devices, limited EQEs in large-area devices, poor device stability, as well as the toxicity of the easily accessible lead components and the solvents used in the synthesis and processing of PeLEDs. This roadmap addresses the current and future challenges in PeLEDs across fundamental and applied research areas, by sharing the community's perspectives. This work will provide the field with practical guidelines to advance PeLED development and facilitate more rapid commercialization., Comment: 103 pages, 29 figures. This is the version of the article before peer review or editing, as submitted by an author to Journal of Physics: Photonics. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it

Published
2023

129. AIMS-EREA -- A framework for AI-accelerated Innovation of Materials for Sustainability -- for Environmental Remediation and Energy Applications

Author

Pratihar, Sudarson Roy, Pai, Deepesh, and Nag, Manaswita

Subjects
Condensed Matter - Materials Science, Computer Science - Artificial Intelligence
Abstract

Many environmental remediation and energy applications (conversion and storage) for sustainability need design and development of green novel materials. Discovery processes of such novel materials are time taking and cumbersome due to large number of possible combinations and permutations of materials structures. Often theoretical studies based on Density Functional Theory (DFT) and other theories, coupled with Simulations are conducted to narrow down sample space of candidate materials, before conducting laboratory-based synthesis and analytical process. With the emergence of artificial intelligence (AI), AI techniques are being tried in this process too to ease out simulation time and cost. However tremendous values of previously published research from various parts of the world are still left as labor-intensive manual effort and discretion of individual researcher and prone to human omissions. AIMS-EREA is our novel framework to blend best of breed of Material Science theory with power of Generative AI to give best impact and smooth and quickest discovery of material for sustainability. This also helps to eliminate the possibility of production of hazardous residues and bye-products of the reactions. AIMS-EREA uses all available resources -- Predictive and Analytical AI on large collection of chemical databases along with automated intelligent assimilation of deep materials knowledge from previously published research works through Generative AI. We demonstrate use of our own novel framework with an example, how this framework can be successfully applied to achieve desired success in development of thermoelectric material for waste heat conversion., Comment: Application of Generative AI in development of materials

Published
2023

130. Adaptive-Labeling for Enhancing Remote Sensing Cloud Understanding

Author

Gala, Jay, Nag, Sauradip, Huang, Huichou, Liu, Ruirui, and Zhu, Xiatian

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Cloud analysis is a critical component of weather and climate science, impacting various sectors like disaster management. However, achieving fine-grained cloud analysis, such as cloud segmentation, in remote sensing remains challenging due to the inherent difficulties in obtaining accurate labels, leading to significant labeling errors in training data. Existing methods often assume the availability of reliable segmentation annotations, limiting their overall performance. To address this inherent limitation, we introduce an innovative model-agnostic Cloud Adaptive-Labeling (CAL) approach, which operates iteratively to enhance the quality of training data annotations and consequently improve the performance of the learned model. Our methodology commences by training a cloud segmentation model using the original annotations. Subsequently, it introduces a trainable pixel intensity threshold for adaptively labeling the cloud training images on the fly. The newly generated labels are then employed to fine-tune the model. Extensive experiments conducted on multiple standard cloud segmentation benchmarks demonstrate the effectiveness of our approach in significantly boosting the performance of existing segmentation models. Our CAL method establishes new state-of-the-art results when compared to a wide array of existing alternatives., Comment: Accepted at the TCCML Workshop at NeurIPS 2023

Published
2023

131. Floquet second-order topological Anderson insulator hosting corner localized modes

Author

Ghosh, Arnob Kumar, Nag, Tanay, and Saha, Arijit

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Disordered Systems and Neural Networks
Abstract

The presence of random disorder in a metallic system accounts for the localization of extended states in general. On the contrary, the presence of disorder can induce topological phases hosting metallic boundary states out of a non-topological system, giving birth to the topological Anderson insulator phase. In this context, we theoretically investigate the generation of an out of equilibrium higher-order topological Anderson phase in the presence of disorder potential in a time-periodic dynamical background. In particular, the time-dependent drive and the disorder potential concomitantly render the generation of Floquet higher-order topological Anderson insulator~(FHOTAI) phase, while the clean, undriven system is topologically trivial. We showcase the generation of FHOTAI hosting both $0$- and $\pi$-modes. Most importantly, we develop the real space topological invariant -- a winding number based on chiral symmetry to characterize the Floquet $0$- and $\pi$-modes distinctly. This chiral winding number serves the purpose of the indicator for the topological phase transition in the presence of drive as well as disorder and appropriately characterizes the FHOTAI., Comment: This is the published version

Published
2023
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132. Cubulating Drilled bundles over graphs

Author

Mj, Mahan and Nag, Biswajit

Subjects
Mathematics - Group Theory, Mathematics - Geometric Topology, 20F65, 20F67 (Primary), 22E40, 57M50
Abstract

We start with a Gromov-hyperbolic surface bundle $E$ over a graph, and drill out essential simple closed curves from fibers to obtain a drilled bundle $F$. We prove that for such drilled bundles $F$, the fundamental group $\pi_1(F)$ is relatively hyperbolic with $(\mathbb{Z}\oplus \mathbb{Z})$ peripheral groups. Combining the relative hyperbolicity of $\pi_1(F)$ thus obtained with a theorem of Wise, we establish virtually special cubulability of $\pi_1(F)$ provided that the maximal undrilled subbundles of $F$ are cubulable., Comment: 37 pages, no figures

Published
2023

133. Unsupervised Pre-Training Using Masked Autoencoders for ECG Analysis

Author

Wang, Guoxin, Wang, Qingyuan, Iyer, Ganesh Neelakanta, Nag, Avishek, and John, Deepu

Subjects
Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Signal Processing
Abstract

Unsupervised learning methods have become increasingly important in deep learning due to their demonstrated large utilization of datasets and higher accuracy in computer vision and natural language processing tasks. There is a growing trend to extend unsupervised learning methods to other domains, which helps to utilize a large amount of unlabelled data. This paper proposes an unsupervised pre-training technique based on masked autoencoder (MAE) for electrocardiogram (ECG) signals. In addition, we propose a task-specific fine-tuning to form a complete framework for ECG analysis. The framework is high-level, universal, and not individually adapted to specific model architectures or tasks. Experiments are conducted using various model architectures and large-scale datasets, resulting in an accuracy of 94.39% on the MITDB dataset for ECG arrhythmia classification task. The result shows a better performance for the classification of previously unseen data for the proposed approach compared to fully supervised methods., Comment: Accepted by IEEE Biomedical Circuits and Systems (BIOCAS) 2023

Published
2023

134. Consensus Formation Among Mobile Agents in Networks of Heterogeneous Interaction Venues

Author

Mikaberidze, Guram, Chowdhury, Sayantan Nag, Hastings, Alan, and DSouza, Raissa M.

Subjects
Physics - Physics and Society, Nonlinear Sciences - Adaptation and Self-Organizing Systems
Abstract

Exploring the collective behavior of interacting entities is of great interest and importance. Rather than focusing on static and uniform connections, we examine the co-evolution of diverse mobile agents experiencing varying interactions across both space and time. Analogous to the social dynamics of intrinsically diverse individuals who navigate between and interact within various physical or digital locations, agents in our model traverse a complex network of heterogeneous environments and engage with everyone they encounter. The precise nature of agents internal dynamics and the various interactions that nodes induce are left unspecified and can be tailored to suit the requirements of individual applications. We derive effective dynamical equations for agent states which are instrumental in investigating thresholds of consensus, devising effective attack strategies to hinder coherence, and designing optimal network structures with inherent node variations in mind. We demonstrate that agent cohesion can be promoted by increasing agent density, introducing network heterogeneity, and intelligently designing the network structure, aligning node degrees with the corresponding interaction strengths they facilitate. Our findings are applied to two distinct scenarios: the synchronization of brain activities between interacting individuals, as observed in recent collective MRI scans, and the emergence of consensus in a cusp catastrophe model of opinion dynamics., Comment: 18 pages, 10 figures

Published
2023

135. Clinical Trial Recommendations Using Semantics-Based Inductive Inference and Knowledge Graph Embeddings

Author

Devarakonda, Murthy V., Mohanty, Smita, Sunkishala, Raja Rao, Mallampalli, Nag, and Liu, Xiong

Subjects
Computer Science - Artificial Intelligence, Quantitative Biology - Quantitative Methods
Abstract

Designing a new clinical trial entails many decisions, such as defining a cohort and setting the study objectives to name a few, and therefore can benefit from recommendations based on exhaustive mining of past clinical trial records. Here, we propose a novel recommendation methodology, based on neural embeddings trained on a first-of-a-kind knowledge graph of clinical trials. We addressed several important research questions in this context, including designing a knowledge graph (KG) for clinical trial data, effectiveness of various KG embedding (KGE) methods for it, a novel inductive inference using KGE, and its use in generating recommendations for clinical trial design. We used publicly available data from clinicaltrials.gov for the study. Results show that our recommendations approach achieves relevance scores of 70%-83%, measured as the text similarity to actual clinical trial elements, and the most relevant recommendation can be found near the top of list. Our study also suggests potential improvement in training KGE using node semantics., Comment: 13 pages (w/o bibliography), 4 Figures, 6 Tables

Published
2023

136. Optimization of Balanced Detector for Coherent Receiver on Generic InP Platform by PSO

Author

Nag, Dhiman, Yao, Weiming, and van der Tol, Jos J. G. M.

Subjects
Physics - Optics, Physics - Applied Physics
Abstract

Balanced photodetector (BPD) is an important component for high-speed coherent receiver. Optimization strategy of waveguide-based multi-quantum well (MQW) BPDs, operating at 1550 nm is demonstrated on generic InP platform. Design parameters of BPD are optimized towards achieving the highest bandwidth for a responsivity through an algorithm based on Particle Swarm Optimization (PSO). We do so by establishing an equivalent circuit model of BPD and analyzing its opto-electronic transfer function through numerical modelling. We address the major bottlenecks of high-speed BPDs: transit time of generated carriers and RC loading in our model. The algorithm is able to provide multiple combinations of design parameters with the same output characteristics. Design methodology to integrate laser with optimized BPD is presented to successfully implement coherent receiver., Comment: 12 pages, 16 figures

Published
2023

137. Does Reliable Electricity Mean Lesser Agricultural Labor Wages? Evidence from Indian Villages

Author

Nag, Suryadeepto

Subjects
Economics - General Economics
Abstract

Using a panel of 1,171 villages in rural India that were surveyed in the India Human Development Surveys, I perform a difference-in-differences analysis to find that improvements in electricity reliability have a negative effect on the increase in casual agricultural labor wage rates. Changes in men's wage rates are found to be affected more adversely than women's, resulting in a smaller widening of the gender wage gap. I find that better electricity reliability reduces the time spent by women in fuel collection substantially which could potentially increase labor supply. The demand for labor remains unaffected by reliability, which could lead the surplus in labor supply to cause wage rates to stunt. However, I show that electrical appliances such as groundwater pumps considerably increase labor demand indicating that governments could target increasing the adoption of electric pumps along with bettering the quality of electricity to absorb the surplus labor into agriculture.

Published
2023

138. Dissociative electron attachment to carbon tetrachloride probed by velocity map imaging

Author

Paul, Anirban, Nandi, Dhananjay, Slaughter, Daniel S, Fedor, Juraj, and Nag, Pamir

Subjects
Physical Sciences, Chemical Sciences, Atomic, Molecular and Optical Physics, Physical Chemistry, Chemical Physics
Abstract

Bond-breaking in CCl4via dissociative electron attachment (DEA) has been studied using a velocity map imaging (VMI) spectrometer. A number of effects related to the dissociation dynamics have been revealed. The near-zero eV s-wave electron attachment, which leads to the production of Cl- anions, is accompanied by a very efficient intramolecular vibrational redistribution. This is manifested by a small fraction of the excess energy being released in the form of the fragments' translation energy. A similar effect is observed for higher-lying electronic resonances with one exception: the resonance centered around 6.2 eV leads to the production of fast Cl2- fragments and their angular distribution is forward peaking. This behavior could not be explained with a single-electronic-state model in the axial recoil approximation and is most probably caused by bending dynamics initiated by a Jahn-Teller distortion of the transient anion. The CCl2- fragment has a reverse backward-peaking angular distribution, suggesting the presence of a long-distance electron hopping mechanism between the fragments.

Published
2024

139. Contrasting Dynamics in Isoelectronic Anions Formed by Electron Attachment

Author

Nag, P, Ranković, M, Polášek, M, Čurík, R, Slaughter, DS, and Fedor, J

Subjects
Physical Sciences, Chemical Sciences, Atomic, Molecular and Optical Physics, Physical Chemistry, Affordable and Clean Energy, Chemical sciences, Physical sciences
Abstract

Cyanogen NCCN and cyanoacetylene HCCCN are isoelectronic molecules, and as such, they have many similar properties. We focus on the bond cleavage in these induced by the dissociative electron attachment. In both molecules, resonant electron attachment produces CN- with very similar energy dependence. We investigate the very different dissociation dynamics, in each of the two molecules, revealed by velocity map imaging of this common fragment. Different dynamics are manifested both in the excess energy partitioning and in the angular distributions of fragments. Based on the comparison with electron energy loss spectra, which provide information about possible parent states of the resonances (both optically allowed and forbidden excited states of the neutral target), we ascribe the observed effect to the distortion of the nuclear frame during the formation of core-excited resonance in cyanoacetylene. The proposed mechanism also explains a puzzling difference in the magnitude of the CN- cross section in the two molecules which has been so far unexplained.

Published
2024

141. Interpretations of the ATLAS measurements of Higgs boson production and decay rates and differential cross-sections in pp collisions at s = 13 TeV

Author

Aad, G., Abbott, B., Abeling, K., Abicht, N. J., Abidi, S. H., Aboulhorma, A., Abramowicz, H., Abreu, H., Abulaiti, Y., Acharya, B. S., Adam Bourdarios, C., Adamczyk, L., Addepalli, S. V., Addison, M. J., Adelman, J., Adiguzel, A., Adye, T., Affolder, A. A., Afik, Y., Agaras, M. N., Agarwala, J., Aggarwal, A., Agheorghiesei, C., Ahmad, A., Ahmadov, F., Ahmed, W. S., Ahuja, S., Ai, X., Aielli, G., Aikot, A., Ait Tamlihat, M., Aitbenchikh, B., Aizenberg, I., Akbiyik, M., Åkesson, T. P. A., Akimov, A. V., Akiyama, D., Akolkar, N. N., Aktas, S., Al Khoury, K., Alberghi, G. L., Albert, J., Albicocco, P., Albouy, G. L., Alderweireldt, S., Alegria, Z. L., Aleksa, M., Aleksandrov, I. N., Alexa, C., Alexopoulos, T., Alfonsi, F., Algren, M., Alhroob, M., Ali, B., Ali, H. M. J., Ali, S., Alibocus, S. W., Aliev, M., Alimonti, G., Alkakhi, W., Allaire, C., Allbrooke, B. M. M., Allen, J. F., Allendes Flores, C. A., Allport, P. P., Aloisio, A., Alonso, F., Alpigiani, C., Alvarez Estevez, M., Alvarez Fernandez, A., Alves Cardoso, M., Alviggi, M. G., Aly, M., Amaral Coutinho, Y., Ambler, A., Amelung, C., Amerl, M., Ames, C. G., Amidei, D., Amor Dos Santos, S. P., Amos, K. R., Ananiev, V., Anastopoulos, C., Andeen, T., Anders, J. K., Andrean, S. Y., Andreazza, A., Angelidakis, S., Angerami, A., Anisenkov, A. V., Annovi, A., Antel, C., Anthony, M. T., Antipov, E., Antonelli, M., Anulli, F., Aoki, M., Aoki, T., Aparisi Pozo, J. A., Aparo, M. A., Aperio Bella, L., Appelt, C., Apyan, A., Aranzabal, N., Arbiol Val, S. J., Arcangeletti, C., Arce, A. T. H., Arena, E., Arguin, J-F., Argyropoulos, S., Arling, J.-H., Arnaez, O., Arnold, H., Artoni, G., Asada, H., Asai, K., Asai, S., Asbah, N. A., Assahsah, J., Assamagan, K., Astalos, R., Atashi, S., Atkin, R. J., Atkinson, M., Atmani, H., Atmasiddha, P. A., Augsten, K., Auricchio, S., Auriol, A. D., Austrup, V. A., Avolio, G., Axiotis, K., Azuelos, G., Babal, D., Bachacou, H., Bachas, K., Bachiu, A., Backman, F., Badea, A., Baer, T. M., Bagnaia, P., Bahmani, M., Bahner, D., Bailey, A. J., Bailey, V. R., Baines, J. T., Baines, L., Baker, O. K., Bakos, E., Bakshi Gupta, D., Balakrishnan, V., Balasubramanian, R., Baldin, E. M., Balek, P., Ballabene, E., Balli, F., Baltes, L. M., Balunas, W. K., Balz, J., Banas, E., Bandieramonte, M., Bandyopadhyay, A., Bansal, S., Barak, L., Barakat, M., Barberio, E. L., Barberis, D., Barbero, M., Barel, M. Z., Barends, K. N., Barillari, T., Barisits, M-S., Barklow, T., Baron, P., Baron Moreno, D. A., Baroncelli, A., Barone, G., Barr, A. J., Barr, J. D., Barranco Navarro, L., Barreiro, F., Barreiro Guimarães da Costa, J., Barron, U., Barros Teixeira, M. G., Barsov, S., Bartels, F., Bartoldus, R., Barton, A. E., Bartos, P., Basan, A., Baselga, M., Bassalat, A., Basso, M. J., Basson, C. R., Bates, R. L., Batlamous, S., Batley, J. R., Batool, B., Battaglia, M., Battulga, D., Bauce, M., Bauer, M., Bauer, P., Bazzano Hurrell, L. T., Beacham, J. B., Beau, T., Beaucamp, J. Y., Beauchemin, P. H., Becherer, F., Bechtle, P., Beck, H. P., Becker, K., Beddall, A. J., Bednyakov, V. A., Bee, C. P., Beemster, L. J., Beermann, T. A., Begalli, M., Begel, M., Behera, A., Behr, J. K., Beirer, J. F., Beisiegel, F., Belfkir, M., Bella, G., Bellagamba, L., Bellerive, A., Bellos, P., Beloborodov, K., Benchekroun, D., Bendebba, F., Benhammou, Y., Benoit, M., Bensinger, J. R., Bentvelsen, S., Beresford, L., Beretta, M., Bergeaas Kuutmann, E., Berger, N., Bergmann, B., Beringer, J., Bernardi, G., Bernius, C., Bernlochner, F. U., Bernon, F., Berrocal Guardia, A., Berry, T., Berta, P., Berthold, A., Bertram, I. A., Bethke, S., Betti, A., Bevan, A. J., Bhalla, N. K., Bhamjee, M., Bhatta, S., Bhattacharya, D. S., Bhattarai, P., Bhopatkar, V. S., Bi, R., Bianchi, R. 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2024
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144. Precise measurements of W- and Z-boson transverse momentum spectra with the ATLAS detector using pp collisions at s=5.02 TeV and 13 TeV

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Aad, G., Abbott, B., Abeling, K., Abicht, N. J., Abidi, S. H., Aboulhorma, A., Abramowicz, H., Abreu, H., Abulaiti, Y., Acharya, B. S., Bourdarios, C. Adam, Adamczyk, L., Adamek, L., Addepalli, S. V., Addison, M. J., Adelman, J., Adiguzel, A., Adye, T., Affolder, A. A., Afik, Y., Agaras, M. N., Agarwala, J., Aggarwal, A., Agheorghiesei, C., Ahmad, A., Ahmadov, F., Ahmed, W. S., Ahuja, S., Ai, X., Aielli, G., Aikot, A., Tamlihat, M. Ait, Aitbenchikh, B., Aizenberg, I., Akbiyik, M., Åkesson, T. P. A., Akimov, A. V., Akiyama, D., Akolkar, N. N., Khoury, K. Al, Alberghi, G. L., Albert, J., Albicocco, P., Albouy, G. L., Alderweireldt, S., Aleksa, M., Aleksandrov, I. N., Alexa, C., Alexopoulos, T., Alfonsi, F., Algren, M., Alhroob, M., Ali, B., Ali, H. M. J., Ali, S., Alibocus, S. W., Aliev, M., Alimonti, G., Alkakhi, W., Allaire, C., Allbrooke, B. M. M., Allen, J. F., Flores, C. A. Allendes, Allport, P. P., Aloisio, A., Alonso, F., Alpigiani, C., Estevez, M. Alvarez, Fernandez, A. Alvarez, Cardoso, M. Alves, Alviggi, M. G., Aly, M., Coutinho, Y. Amaral, Ambler, A., Amelung, C., Amerl, M., Ames, C. G., Amidei, D., Santos, S. P. Amor Dos, Amos, K. R., Ananiev, V., Anastopoulos, C., Andeen, T., Anders, J. K., Andrean, S. Y., Andreazza, A., Angelidakis, S., Angerami, A., Anisenkov, A. V., Annovi, A., Antel, C., Anthony, M. T., Antipov, E., Antonelli, M., Anulli, F., Aoki, M., Aoki, T., Pozo, J. A. Aparisi, Aparo, M. A., Bella, L. Aperio, Appelt, C., Apyan, A., Aranzabal, N., Arcangeletti, C., Arce, A. T. H., Arena, E., Arguin, J.-F., Argyropoulos, S., Arling, J.-H., Arnaez, O., Arnold, H., Artoni, G., Asada, H., Asai, K., Asai, S., Asbah, N. A., Assahsah, J., Assamagan, K., Astalos, R., Atashi, S., Atkin, R. J., Atkinson, M., Atmani, H., Atmasiddha, P. A., Augsten, K., Auricchio, S., Auriol, A. D., Austrup, V. A., Avolio, G., Axiotis, K., Azuelos, G., Babal, D., Bachacou, H., Bachas, K., Bachiu, A., Backman, F., Badea, A., Bagnaia, P., Bahmani, M., Bailey, A. J., Bailey, V. R., Baines, J. T., Baines, L., Bakalis, C., Baker, O. K., Bakos, E., Gupta, D. Bakshi, Balakrishnan, V., Balasubramanian, R., Baldin, E. M., Balek, P., Ballabene, E., Balli, F., Baltes, L. M., Balunas, W. K., Balz, J., Banas, E., Bandieramonte, M., Bandyopadhyay, A., Bansal, S., Barak, L., Barakat, M., Barberio, E. L., Barberis, D., Barbero, M., Barel, M. Z., Barends, K. N., Barillari, T., Barisits, M.-S., Barklow, T., Baron, P., Moreno, D. A. Baron, Baroncelli, A., Barone, G., Barr, A. J., Barr, J. D., Navarro, L. Barranco, Barreiro, F., da Costa, J. Barreiro Guimarães, Barron, U., Teixeira, M. G. Barros, Barsov, S., Bartels, F., Bartoldus, R., Barton, A. E., Bartos, P., Basan, A., Baselga, M., Bassalat, A., Basso, M. J., Basson, C. R., Bates, R. L., Batlamous, S., Batley, J. R., Batool, B., Battaglia, M., Battulga, D., Bauce, M., Bauer, M., Bauer, P., Hurrell, L. T. Bazzano, Beacham, J. B., Beau, T., Beauchemin, P. H., Becherer, F., Bechtle, P., Beck, H. 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Published
2024
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147. Physical activity, sitting time, and thermal quantitative sensory testing responses in African Americans.

Author

Huber, Felicitas, Carpenter, Rachel, Goodin, Burel, Bruehl, Stephen, Karlson, Cynthia, Rao, Uma, Kinney, Kerry, Nag, Subodh, and Morris, Matthew

Subjects
African Americans, Pain modulation, Physical activity, Quantitative sensory testing, Sedentary behavior
Abstract

INTRODUCTION: Prior research suggests that African Americans (AAs) have more frequent, intense, and debilitating pain and functional disability compared with non-Hispanic Whites (NHWs). Potential contributing factors to this disparity are physical activity and sedentary behavior, given that AAs are less physically active, and physical activity is associated with antinociception (whereas sedentary behavior is linked to pronociception). However, impact of these factors on pain processing has largely been unexplored in AAs, especially before chronic pain onset. OBJECTIVE: This study examined relationships between physical activity, sedentary behavior (sitting time), and laboratory measures of pain and pain modulation in adult AAs. These included heat pain threshold and tolerance, temporal summation of pain (TSP, a marker of central sensitization), and conditioned pain modulation (CPM, a marker of descending pain inhibition). METHODS: Multiple regressions were conducted to examine the effects of physical activity and sitting time on heat threshold and tolerance. Multilevel models were conducted to assess the relationship between physical activity, sitting time, and temporal summation of pain. Additional multilevel models were conducted to assess the relationship between physical activity, sitting time, and conditioned pain modulation. RESULTS: Higher level of physical activity, but not sitting time, was associated with reduced TSP slopes. Neither physical activity nor sitting time was associated with CPM slopes. No significant relationships between physical activity or sitting time and heat pain threshold or tolerance were detected. CONCLUSIONS: These findings suggest that physical activity is associated with reduced TSP, an effect which may be driven by reduced spinal hyperexcitability in more active individuals. Thus, structural and individual interventions designed to increase physical activity in healthy, young AAs may be able to promote antinociceptive processes (ie, reduced TSP/reduced pain facilitation) potentially protective against chronic pain.

Published
2023

148. Interpretations of the ATLAS measurements of Higgs boson production and decay rates and differential cross-sections in pp collisions at s $$ \sqrt{s} $$ = 13 TeV

Author

The ATLAS collaboration, G. Aad, B. Abbott, K. Abeling, N. J. Abicht, S. H. Abidi, A. Aboulhorma, H. Abramowicz, H. Abreu, Y. Abulaiti, B. S. Acharya, C. Adam Bourdarios, L. Adamczyk, S. V. Addepalli, M. J. Addison, J. Adelman, A. Adiguzel, T. Adye, A. A. Affolder, Y. Afik, M. N. Agaras, J. Agarwala, A. Aggarwal, C. Agheorghiesei, A. Ahmad, F. Ahmadov, W. S. Ahmed, S. Ahuja, X. Ai, G. Aielli, A. Aikot, M. Ait Tamlihat, B. Aitbenchikh, I. Aizenberg, M. Akbiyik, T. P. A. Åkesson, A. V. Akimov, D. Akiyama, N. N. Akolkar, S. Aktas, K. Al Khoury, G. L. Alberghi, J. Albert, P. Albicocco, G. L. Albouy, S. Alderweireldt, Z. L. Alegria, M. Aleksa, I. N. Aleksandrov, C. Alexa, T. Alexopoulos, F. Alfonsi, M. Algren, M. Alhroob, B. Ali, H. M. J. Ali, S. Ali, S. W. Alibocus, M. Aliev, G. Alimonti, W. Alkakhi, C. Allaire, B. M. M. Allbrooke, J. F. Allen, C. A. Allendes Flores, P. P. Allport, A. Aloisio, F. Alonso, C. Alpigiani, M. Alvarez Estevez, A. Alvarez Fernandez, M. Alves Cardoso, M. G. Alviggi, M. Aly, Y. Amaral Coutinho, A. Ambler, C. Amelung, M. Amerl, C. G. Ames, D. Amidei, S. P. Amor Dos Santos, K. R. Amos, V. Ananiev, C. Anastopoulos, T. Andeen, J. K. Anders, S. Y. Andrean, A. Andreazza, S. Angelidakis, A. Angerami, A. V. Anisenkov, A. Annovi, C. Antel, M. T. Anthony, E. Antipov, M. Antonelli, F. Anulli, M. Aoki, T. Aoki, J. A. Aparisi Pozo, M. A. Aparo, L. Aperio Bella, C. Appelt, A. Apyan, N. Aranzabal, S. J. Arbiol Val, C. Arcangeletti, A. T. H. Arce, E. Arena, J-F. Arguin, S. Argyropoulos, J.-H. Arling, O. Arnaez, H. Arnold, G. Artoni, H. Asada, K. Asai, S. Asai, N. A. Asbah, J. Assahsah, K. Assamagan, R. Astalos, S. Atashi, R. J. Atkin, M. Atkinson, H. Atmani, P. A. Atmasiddha, K. Augsten, S. Auricchio, A. D. Auriol, V. A. Austrup, G. Avolio, K. Axiotis, G. Azuelos, D. Babal, H. Bachacou, K. Bachas, A. Bachiu, F. Backman, A. Badea, T. M. Baer, P. Bagnaia, M. Bahmani, D. Bahner, A. J. Bailey, V. R. Bailey, J. T. Baines, L. Baines, O. K. Baker, E. Bakos, D. 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Sijacki, F. Sili, J. M. Silva, M. V. Silva Oliveira, S. B. Silverstein, S. Simion, R. Simoniello, E. L. Simpson, H. Simpson, L. R. Simpson, N. D. Simpson, S. Simsek, S. Sindhu, P. Sinervo, S. Singh, S. Sinha, M. Sioli, I. Siral, E. Sitnikova, S. Yu. Sivoklokov, J. Sjölin, A. Skaf, E. Skorda, P. Skubic, M. Slawinska, V. Smakhtin, B. H. Smart, J. Smiesko, S. Yu. Smirnov, Y. Smirnov, L. N. Smirnova, O. Smirnova, A. C. Smith, E. A. Smith, H. A. Smith, J. L. Smith, R. Smith, M. Smizanska, K. Smolek, A. A. Snesarev, S. R. Snider, H. L. Snoek, S. Snyder, R. Sobie, A. Soffer, C. A. Solans Sanchez, E. Yu. Soldatov, U. Soldevila, A. A. Solodkov, S. Solomon, A. Soloshenko, K. Solovieva, O. V. Solovyanov, V. Solovyev, P. Sommer, A. Sonay, W. Y. Song, J. M. Sonneveld, A. Sopczak, A. L. Sopio, F. Sopkova, I. R. Sotarriva Alvarez, V. Sothilingam, O. J. Soto Sandoval, S. Sottocornola, R. Soualah, Z. Soumaimi, D. South, N. Soybelman, S. Spagnolo, M. Spalla, D. Sperlich, G. Spigo, S. Spinali, D. P. 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Tafoya Vargas, E. P. Takeva, Y. Takubo, M. Talby, A. A. Talyshev, K. C. Tam, N. M. Tamir, A. Tanaka, J. Tanaka, R. Tanaka, M. Tanasini, Z. Tao, S. Tapia Araya, S. Tapprogge, A. Tarek Abouelfadl Mohamed, S. Tarem, K. Tariq, G. Tarna, G. F. Tartarelli, P. Tas, M. Tasevsky, E. Tassi, A. C. Tate, G. Tateno, Y. Tayalati, G. N. Taylor, W. Taylor, A. S. Tee, R. Teixeira De Lima, P. Teixeira-Dias, J. J. Teoh, K. Terashi, J. Terron, S. Terzo, M. Testa, R. J. Teuscher, A. Thaler, O. Theiner, N. Themistokleous, T. Theveneaux-Pelzer, O. Thielmann, D. W. Thomas, J. P. Thomas, E. A. Thompson, P. D. Thompson, E. Thomson, Y. Tian, V. Tikhomirov, Yu. A. Tikhonov, S. Timoshenko, D. Timoshyn, E. X. L. Ting, P. Tipton, S. H. Tlou, A. Tnourji, K. Todome, S. Todorova-Nova, S. Todt, M. Togawa, J. Tojo, S. Tokár, K. Tokushuku, O. Toldaiev, R. Tombs, M. Tomoto, L. Tompkins, K. W. Topolnicki, E. Torrence, H. Torres, E. Torró Pastor, M. Toscani, C. Tosciri, M. Tost, D. R. Tovey, A. Traeet, I. S. Trandafir, T. 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Zhang, L. Zhang, P. Zhang, R. Zhang, S. Zhang, T. Zhang, X. Zhang, Y. Zhang, Z. Zhang, H. Zhao, T. Zhao, Y. Zhao, Z. Zhao, A. Zhemchugov, J. Zheng, K. Zheng, X. Zheng, Z. Zheng, D. Zhong, B. Zhou, H. Zhou, N. Zhou, Y. Zhou, C. G. Zhu, J. Zhu, Y. Zhu, X. Zhuang, K. Zhukov, V. Zhulanov, N. I. Zimine, J. Zinsser, M. Ziolkowski, L. Živković, A. Zoccoli, K. Zoch, T. G. Zorbas, O. Zormpa, W. Zou, and L. Zwalinski

Subjects
Hadron-Hadron Scattering, Higgs Physics, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

Abstract Measurements of the Higgs boson production times decay rates and differential cross-sections have recently been performed by the ATLAS experiment in several decay channels using up to 139 fb −1 of proton-proton collision data at s $$ \sqrt{s} $$ = 13 TeV recorded at the Large Hadron Collider. This paper presents multiple interpretations of these Higgs boson measurements. Measurements of production-mode cross-sections, simplified template cross-sections and fiducial differential cross-sections in different decay channels are reparameterised in terms of the impact of Standard Model effective field theory operators, and constraints are reported on the corresponding Wilson coefficients. Production and decay rate measurements are interpreted in UV-complete extensions of the Standard Model, namely the two-Higgs-doublet model (2HDM) near the alignment limit and the Minimal Supersymmetric Standard Model (MSSM) for various MSSM benchmark scenarios. The constraints on the 2HDM parameters (cos(β − α), tanβ) and the MSSM parameters (m A , tanβ) are complementary to those obtained from direct searches for additional Higgs bosons.

Published
2024
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149. Elucidating the pathobiology of Cerebellar Ataxia with Neuropathy and Vestibular Areflexia Syndrome (CANVAS) with its expanded RNA structure formation and proteinopathy

Author

Krishna Singh, Sakshi Shukla, Uma Shankar, Neha Jain, Rishav Nag, Kumari Aditi Pramod, and Amit Kumar

Subjects
CANVAS, RFC1, Proteinopathy, Repeat expansions, RNA r(AAGGG)n, Medicine, Science
Abstract

Abstract Numerous neurological disorders are linked to sequences rich in guanine repeats found in introns, exons, and regulatory regions of genes. These sequences have been observed to form stable G-quadruplex (GQ) structures both in vitro and in vitro. Cerebellar Ataxia with Neuropathy and Vestibular Areflexia Syndrome (CANVAS), a slowly progressive neurodegenerative disorder, is associated with the biallelic expansion of (AAGGG)n pathogenic repeats in the second intron of the RFC1 gene. Though these G-rich pathogenic repeats in other neurological diseases are associated with protein loss of function, RNA gain of function, and/or protein gain of function, not much is known about the pathological mechanism associated with CANVAS. Herein, we report the formation of stable GQ conformations in the CANVAS-associated repeats i.e., r(AAGGG)n, where ‘r’ stands for RNA. These GQs are critical regulators in neurological disorders leading to RNA foci formation and RNA binding protein sequestration. They also alter other causative processes like intron retention, which leads us to hypothesize a toxic Proteinopathy mechanism in CANVAS. Various biophysical and biomolecular assays characterized the interactions of three aggregation-prone RNA-binding proteins (RBPs): heterogeneous nuclear ribonucleoprotein H1/F (hnRNP H1/F), and DGCR8 with different pathogenic repeats [(AAGGG)9] in vitro, further affirming the hypothesis. The biophysical observations are further supported by molecular dynamics analysis and cell-based studies, putting us a step closer to elucidating the pathological mechanism(s) in CANVAS neuropathy, paving the way for the development of innovative therapeutic interventions.

Published
2024
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150. Correlating Thompson score and cardiac dysfunction in neonates suffering from perinatal asphyxia – A prospective observational study

Author

Anushka Nag, Bhaswati Ghoshal, and Meghna Siddhanta

Subjects
perinatal asphyxia, newborn, cardiac dysfunction, thompson score, Medicine
Abstract

Background: Perinatal asphyxia continues to be a leading cause of neonatal morbidity and mortality worldwide. It causes multiorgan failure with brain involvement as the major organ of concern (hypoxic-ischemic encephalopathy). Cardiac dysfunction is also a feature of perinatal asphyxia. Aims and Objectives: The study and to correlate cardiac dysfunction detected by cardiac biomarkers and echocardiography with the severity of perinatal asphyxia as graded by the Thompson score. Materials and Methods: In this prospective observational study, babies with Apgar score

Published
2024
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