cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
X-ray and computational investigations of ethanoanthracenes: 9,10-dihydro-9,10-ethanoanthracene-12-carboxylic acid and 9,10-dihydro-9,10-ethanoanthracen-9-yl)-N-methylethanamine
Creators: name: Al-Qubati, Mohyeddine
name: Ghabbour, Hazem A.
name: Soliman, Saied M.
name: Alzahrani, Eman
name: Sultan, Mujeeb A.
Publisher: name: Taylor & Francis
Year: 2022
Subjects: Biophysics
Biochemistry
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Cancer
Computational Biology

description: Two ethanoanthracenes 3 and 5 have been synthesized, crystalized and computationally investigated. The ethanoanthracene 3 and 5 were crystallized in a monoclinic system; P21/c, a = 6.1899 (2) Å, b = 35.4668 (11) Å, c = 11.7945 (3) Å, β = 103.071 (1)°, V 2522.23 (13) Å3, Z = 8 and ethanoanthracene 5 was crystallized in a monoclinic system; P21/c, a = 11.0125 (3) Å, b = 32.1735 (7) Å, c = 11.1222 (3) Å, β = 114.026 (1)°, V = 3599.29 (16) Å3, Z = 4. The Hirshfeld analysis was employed to identify the intermolecular interactions of ethanoanthracenes 3 and 5 crystals. The molecular packing of ethanoanthracene 3 depends on H…H (57.1-59.1%), H…C (19.2-22.7%) and O…H (15.6–15.8%) contacts in addition to minor contributions from the C…O (1.1–2.5%) and C…C (2.1–4.7%) contacts, while the H…H (59.6–57.1%), H…C (21.2–22.7%) and Cl…H (15.6–17.1%) are the most important contacts in ethanoanthracene 5 molecular packing. The calculated dipole moments values for ethanoanthracene 3 (1.1452 Debye) are lower than ethanoanthracene 5 (8.8291 Debye). In addition, the atomic charge distribution, molecular electrostatic potential map and reactivity descriptors of the ethanoanthracenes 3 and 5 were reported.
Rank, Pack, or Approve: Voting Methods in Participatory Budgeting
Creators: name: Gelauff, Lodewijk
name: Goel, Ashish
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: Participatory budgeting is a popular method to engage residents in budgeting decisions by local governments. The Stanford Participatory Budgeting platform is an online platform that has been used to engage residents in more than 150 budgeting processes. We present a data set with anonymized budget opinions from these processes with K-approval, K-ranking or knapsack primary ballots. For a subset of the voters, it includes paired votes with a different elicitation method in the same process. This presents a unique data set, as the voters, projects and setting are all related to real-world decisions that the voters have an actual interest in. With data from primary ballots we find that while ballot complexity (number of projects to choose from, number of projects to select and ballot length) is correlated with a higher median time spent by voters, it is not correlated with a higher abandonment rate.
 We use vote pairs with different voting methods to analyze the effect of voting methods on the cost of selected projects, more comprehensively than was previously possible. In most elections, voters selected significantly more expensive projects using K-approval than using knapsack, although we also find a small number of examples with a significant effect in the opposite direction. This effect happens at the aggregate level as well as for individual voters, and is influenced both by the implicit constraints of the voting method and the explicit constraints of the voting interface. Finally, we validate the use of K-ranking elicitation to offer a paper alternative for knapsack voting.
description: Accepted for publication at ICWSM. Data set is available through: https://doi.org/10.25740/db709zg9088
Surface modification strategies of 304 austenitic stainless steel plate with different micromorphology and composition for improved mechanical interlocking and chemical bonding in metal–epoxy joints
Creators: name: Wang, Yake
name: Liu, Cuirong
name: Li, Yan
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biophysics
subject: Biochemistry
subject: Physical Sciences not elsewhere classified
subject: Microbiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified

description: 304 austenitic stainless-steel (SS) strip-based carbon fiber metal laminates (CFMLs) have raised significant concerns, in terms of their mechanical performance. On top of that, the hybrid laminates’ interlamination performance is vital in regulating their failure patterns. Along these lines, in this work, SS strips with regulatable micromorphology and composition were obtained by using physical and chemical surface modification strategies, including polishing, acid etching, anodization, and thermal treatment. The shear strength of the treated-SS/epoxy single lap joints (two treated-SS strips bonded by the epoxy resin via hot curing process) was systematically explored, and the origins of the enhancement mechanism were attributed to the resulting surface microstructure, as well as the possible chemical reactions between the treated surface and the curing agent. The etching-anodizing-thermally treated-SS (EAT-SS)/epoxy joint exhibited the maximum shear strength (16.04 MPa) and work of fracture (5.85 kJ·m−2) due to the substantial cohesive failure pattern of the epoxy. The encouraging enhancement was mainly attributed to the synergistic effect of the micro-annular pit and the nanoporous array structure of the EAT-SS surface. These effects induced a significant mechanical interlock and a plausible chemical reaction at the interface, which led to improved bonding strength between the epoxy and treated-SS surface. Overall, in this work, it was demonstrated that the combination of the anodization and thermal treatment can effectively improve the interlamination bonding properties between the SS strip and the epoxy resin due to the combination effect of mechanical interlocking and chemical bonding.
Apparently ultra-long period radio sources from self-lensed pulsar-black hole binaries
Creators: name: Xiao, Xinxu
name: Shen, Rong-feng
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Pulsar-black hole (BH) close binary systems, which have not been found yet, are unique laboratories for testing theories of gravity and understanding the formation channels of gravitational-wave sources. We study the self-gravitational lensing effect in a pulsar-BH system on the pulsar's emission. Because this effect occurs once per orbital period for almost edge-on binaries, we find that it could generate apparently ultra-long period (minutes to hours) radio signals when the intrinsic pulsar signal is too weak to detect. Each of such lensed signals, or 'pulse', is composed of a number of amplified intrinsic pulsar pulses. We estimate that a radio telescope with a sensitivity of $10\,\rm mJy$ could detect $\sim$ a few systems that emit such signals in our galaxy. The model is applied to three recently found puzzling long-period radio sources: GLEAM-X J1627, PSR J0901-4046, and GPM J1839-10. To explain their observed signal durations and periods, the masses of their lensing components would be $\sim10^4\,\rm M_{\odot}$, $\sim4\,\rm M_{\odot}$ and $10^{3-6}\,\rm M_{\odot}$, respectively, with their binary coalescence times ranging from a few tens to thousands of years. However, the implied merger rates (as high as $\sim 10^{3-4}\,\rm Myr^{-1}$ per galaxy) and the large period decay rates ($>10^{-8}\,\rm s\,s^{-1}$) tend to disfavour this self-lensing scenario for these three sources. Finally, for a binary containing a millisecond pulsar and a stellar-mass BH, the Shapiro delay effect would cause a $\geq10\%$ variation of the profile width for the sub-pulses in such lensed signals.
description: 13 pages, 6 figures, 1 table, Accepted for publication in ApJ
Understanding Emojis :) in Useful Code Review Comments
Creators: name: Ahmed, Sharif
name: Eisty, Nasir U.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: Emojis and emoticons serve as non-verbal cues and are increasingly prevalent across various platforms, including Modern Code Review. These cues often carry emotive or instructive weight for developers. Our study dives into the utility of Code Review comments (CR comments) by scrutinizing the sentiments and semantics conveyed by emojis within these comments. To assess the usefulness of CR comments, we augment traditional 'textual' features and pre-trained embeddings with 'emoji-specific' features and pre-trained embeddings. To fortify our inquiry, we expand an existing dataset with emoji annotations, guided by existing research on GitHub emoji usage, and re-evaluate the CR comments accordingly. Our models, which incorporate textual and emoji-based sentiment features and semantic understandings of emojis, substantially outperform baseline metrics. The often-overlooked emoji elements in CR comments emerge as key indicators of usefulness, suggesting that these symbols carry significant weight.
description: This paper has been accepted for inclusion in the Proceedings of the 3rd Intl. Workshop on NL-based Software Engineering co-located at 46th International Conference on Software Engineering (NLBSE@ICSE 2024)
Synthesis, crystal structure and DFT study of a new compound (E)-3-(2-chlorobenzyl)-2-(propan-2-ylidenehydrazineylidene)-2,3-dihydroquinazolin-4(1H)-one
Creators: name: Deng, Liyuan
name: Liao, Tianhui
name: Sun, Hong
name: Hu, Weiyin
name: Zhou, Zhixu
name: Zhao, Chunshen
name: Pan, Hongyan
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Biophysics
subject: Biochemistry
subject: Physical Sciences not elsewhere classified
subject: Medicine
subject: Molecular Biology
subject: Chemical Sciences not elsewhere classified
subject: Infectious Diseases
subject: FOS: Health sciences

description: (E)-3-(2-chlorobenzyl)-2-(propan-2-ylidenehydrazineylidene)-2,3-dihydroquinazolin-4(1H)-one is an organic intermediate. The structure of the target compound was confirmed using 1H NMR, 13C NMR, HRMS and FT-IR spectroscopy. The precise structure of (E)-3-(2-chlorobenzyl)-2-(propan-2-ylidenehydrazineylidene)-2,3-dihydroquinazolin-4(1H)-one was analyzed using single-crystal X-ray diffraction. Furthermore, the crystal structure of the title compound was optimized via DFT calculations, and the optimized structure was compared with the crystal structure after single-crystal X-ray diffraction. The results showed that the crystal structures determined via single crystal X-ray diffraction and DFT calculations were consistent with each other. Additionally, the molecular electrostatic potential and frontier molecular orbitals of the title compound were further studied using DFT calculations.
Additional file 1 of The genetic technologies questionnaire: lay judgments about genetic technologies align with ethical theory, are coherent, and predict behaviour
Creators: name: Küchenhoff, Svenja
name: Doerflinger, Johannes
name: Heinzelmann, Nora
Publisher: name: figshare
Year: 2022
Subjects: subject: Philosophy
subject: FOS: Philosophy, ethics and religion

description: Additional file 1: Supplemental Material.
Frustrated Random Walks: A Fast Method to Compute Node Distances on Hypergraphs
Creators: name: Li, Enzhi
name: Nickleach, Scott
name: Fadlallah, Bilal
Publisher: name: arXiv
Year: 2024
Subjects: subject: Social and Information Networks (cs.SI)
subject: Discrete Mathematics (cs.DM)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: A hypergraph is a generalization of a graph that arises naturally when attribute-sharing among entities is considered. Compared to graphs, hypergraphs have the distinct advantage that they contain explicit communities and are more convenient to manipulate. An open problem in hypergraph research is how to accurately and efficiently calculate node distances on hypergraphs. Estimating node distances enables us to find a node's nearest neighbors, which has important applications in such areas as recommender system, targeted advertising, etc. In this paper, we propose using expected hitting times of random walks to compute hypergraph node distances. We note that simple random walks (SRW) cannot accurately compute node distances on highly complex real-world hypergraphs, which motivates us to introduce frustrated random walks (FRW) for this task. We further benchmark our method against DeepWalk, and show that while the latter can achieve comparable results, FRW has a distinct computational advantage in cases where the number of targets is fairly small. For such cases, we show that FRW runs in significantly shorter time than DeepWalk. Finally, we analyze the time complexity of our method, and show that for large and sparse hypergraphs, the complexity is approximately linear, rendering it superior to the DeepWalk alternative.
description: 15 pages, 6 figures
Exploration of aspartame as a green and sustainable corrosion inhibitor for T95 steel in 28 wt.% HCl at elevated temperatures: effect of sodium dodecylsufate and KI addition on performance
Creators: name: Solomon, Moses M.
name: Uzoma, Ifeanyi E.
name: Udourioh, Godwin A.
name: Chukwuike, V. I.
name: Umoren, Saviour A.
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biochemistry
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified

description: Acidizing is a vital oil well stimulation exercise but must be done with an effective corrosion inhibitor to reduce corrosion risk. It is, however becoming increasingly difficult to find a corrosion inhibitor that is ecologically compatible and effective in strong acids and high temperatures. In this scientific communication, aspartame (ASP), sodium dodecylsufate (SDS), and potassium iodide (KI) blend is presented as a highly efficient inhibitor for T95 steel in 28 wt.% HCl solution at 60–90 °C. The corrosion inhibition investigation was performed using weight loss and electrochemical (electrochemical impedance spectroscopy [EIS] and potentiodynamic polarization [PDP]) techniques complemented by surface analysis of the corroded steel without and with the inhibitor using scanning electron microscope (SEM)/energy dispersive x-ray spectrophotometer (EDX), and 3D optical profilometry (OP). ASP is an effective corrosion inhibitor for T95 steel in an acidizing environment. The inhibition efficiency (IE) increased with an increase in concentration and temperature. The additives (SDS and KI) enhanced the inhibitive performance of ASP due to synergistic effects, especially at 90 °C where an IE of 96% is tenable. Results from SEM/EDS and OP disclose apparent ASP-based inhibitor adsorption on the T95 surface and a high level of protection.
Quantum natural gradient without monotonicity
Creators: name: Sasaki, Toi
name: Miyahara, Hideyuki
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Information Theory (cs.IT)
subject: Computational Physics (physics.comp-ph)
subject: Machine Learning (stat.ML)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Natural gradient (NG) is an information-geometric optimization method that plays a crucial role, especially in the estimation of parameters for machine learning models like neural networks. To apply NG to quantum systems, the quantum natural gradient (QNG) was introduced and utilized for noisy intermediate-scale devices. Additionally, a mathematically equivalent approach to QNG, known as the stochastic reconfiguration method, has been implemented to enhance the performance of quantum Monte Carlo methods. It is worth noting that these methods are based on the symmetric logarithmic derivative (SLD) metric, which is one of the monotone metrics. So far, monotonicity has been believed to be a guiding principle to construct a geometry in physics. In this paper, we propose generalized QNG by removing the condition of monotonicity. Initially, we demonstrate that monotonicity is a crucial condition for conventional QNG to be optimal. Subsequently, we provide analytical and numerical evidence showing that non-monotone QNG outperforms conventional QNG based on the SLD metric in terms of convergence speed.
description: 6 pages, 3 figures
Contact angle measurement for polymeric membranes: software selection for ease of use and precision
Creators: name: Abbas, Mehwish
name: Iqbal, M. Javed
name: Khan, M. Hammad
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Space Science
subject: Medicine
subject: Molecular Biology
subject: Chemical Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified

description: Contact angle measurement by sessile drop (SD) and captive bubble (CB) method is calculated by the four software, i.e. ‘Angle Tool’ plugin, Drop Snake (DS) plugin, and LB-ADSA plugin of the ImageJ®; and the Ossila® with their advantages and disadvantages. In this study, the ease of use and precision were tested by standard deviation calculation for different hydrophilic membranes. Angle Tool plugin, and DS plugin of ImageJ®; and the Ossila software gave high standard deviations due to rough cut membranes edges giving background shadows misleading the software algorithm. LB-ADSA plugin of the ImageJ® had both advantages of manual drop edge selection and algorithmic calculation of contact angle giving the lowest standard deviation. Therefore, we found that the LB-ADSA plugin of ImageJ® is precise for hydrophilic membranes by both SD and CB methods.
Enhanced quantum control of individual ultracold molecules using optical tweezer arrays
Creators: name: Ruttley, Daniel K.
name: Guttridge, Alexander
name: Hepworth, Tom R.
name: Cornish, Simon L.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Control over the quantum states of individual molecules is crucial in the quest to harness their rich internal structure and dipolar interactions for applications in quantum science. In this paper, we develop a toolbox of techniques for the control and readout of individually trapped polar molecules in an array of optical tweezers. Starting with arrays of up to eight Rb and eight Cs atoms, we assemble arrays of RbCs molecules in their rovibrational and hyperfine ground state with an overall efficiency of 48(2)%. We demonstrate global microwave control of multiple rotational states of the molecules and use an auxiliary tweezer array to implement site-resolved addressing and state control. We show how the rotational state of the molecule can be mapped onto the position of Rb atoms and use this capability to readout multiple rotational states in a single experimental run. Further, using a scheme for the mid-sequence detection of molecule formation errors, we perform rearrangement of assembled molecules to prepare small defect-free arrays. Finally, we discuss a feasible route to scaling to larger arrays of molecules.
description: 18 pages, 8 figures. Updated bibliography
Additional file 1 of The experience of pre-hospital emergency personnel in breaking death news: a phenomenological study
Creators: name: Safari, Reza
name: Khashmin, Mohammad Mehdi
name: Abdi, Alireza
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Cell Biology
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 1.
X-ray and computational investigations of ethanoanthracenes: 9,10-dihydro-9,10-ethanoanthracene-12-carboxylic acid and 9,10-dihydro-9,10-ethanoanthracen-9-yl)-N-methylethanamine
Creators: name: Al-Qubati, Mohyeddine
name: Ghabbour, Hazem A.
name: Soliman, Saied M.
name: Alzahrani, Eman
name: Sultan, Mujeeb A.
Publisher: name: Taylor & Francis
Year: 2021
Subjects: Biophysics
Biochemistry
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Cancer
Computational Biology

description: Two ethanoanthracenes 3 and 5 have been synthesized, crystalized and computationally investigated. The ethanoanthracene 3 and 5 were crystallized in a monoclinic system; P21/c, a = 6.1899 (2) Å, b = 35.4668 (11) Å, c = 11.7945 (3) Å, β = 103.071 (1)°, V 2522.23 (13) Å3, Z = 8 and ethanoanthracene 5 was crystallized in a monoclinic system; P21/c, a = 11.0125 (3) Å, b = 32.1735 (7) Å, c = 11.1222 (3) Å, β = 114.026 (1)°, V = 3599.29 (16) Å3, Z = 4. The Hirshfeld analysis was employed to identify the intermolecular interactions of ethanoanthracenes 3 and 5 crystals. The molecular packing of ethanoanthracene 3 depends on H…H (57.1-59.1%), H…C (19.2-22.7%) and O…H (15.6–15.8%) contacts in addition to minor contributions from the C…O (1.1–2.5%) and C…C (2.1–4.7%) contacts, while the H…H (59.6–57.1%), H…C (21.2–22.7%) and Cl…H (15.6–17.1%) are the most important contacts in ethanoanthracene 5 molecular packing. The calculated dipole moments values for ethanoanthracene 3 (1.1452 Debye) are lower than ethanoanthracene 5 (8.8291 Debye). In addition, the atomic charge distribution, molecular electrostatic potential map and reactivity descriptors of the ethanoanthracenes 3 and 5 were reported.
Effect of chemical short-range order and percolation on passivation in binary alloys
Creators: name: Roy, Abhinav
name: Sieradzki, Karl
name: Rondinelli, James M.
name: McCue, Ian D.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We develop a percolation model for face centered cubic binary alloys with chemical short-range order (SRO) to account for chemical ordering/clustering that occurs in nominally random solid solutions. We employ a lattice generation scheme that directly utilizes the first nearest neighbor Warren-Cowley SRO parameter to generate the lattice. We quantify the effects of SRO on the first nearest neighbor three-dimensional (3D) site percolation threshold using the large cell Monte Carlo renormalization group method and find that the 3D site percolation threshold is a function of the SRO parameter. We analyze the effects of SRO on the distribution of the total number of distinct clusters in the percolated structures and find that short-ranged clustering promotes the formation of a dominant spanning cluster. Furthermore, we find that the scaling exponents of percolation are independent of SRO. We also examine the effects of SRO on the 2D-3D percolation crossover and find that the thickness of the thin film for percolation crossover is a function of the SRO parameter. We combine these results to develop a percolation crossover model to understand the electrochemical passivation behavior in binary alloys. The percolation crossover model provides a theoretical framework to understand the critical composition of passivating elements for protective oxide formation. With this model, we show that SRO can be used as a processing parameter to improve corrosion resistance.
description: 9 pages, 7 figures
Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy data
Creators: name: Jecklin, Sascha
name: Shen, Youyang
name: Gout, Amandine
name: Suter, Daniel
name: Calvet, Lilian
name: Zingg, Lukas
name: Straub, Jennifer
name: Cavalcanti, Nicola Alessandro
name: Farshad, Mazda
name: Fürnstahl, Philipp
name: Esfandiari, Hooman
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: This study tackles key obstacles in adopting surgical navigation in orthopedic surgeries, including time, cost, radiation, and workflow integration challenges. Recently, our work X23D showed an approach for generating 3D anatomical models of the spine from only a few intraoperative fluoroscopic images. This negates the need for conventional registration-based surgical navigation by creating a direct intraoperative 3D reconstruction of the anatomy. Despite these strides, the practical application of X23D has been limited by a domain gap between synthetic training data and real intraoperative images.
 In response, we devised a novel data collection protocol for a paired dataset consisting of synthetic and real fluoroscopic images from the same perspectives. Utilizing this dataset, we refined our deep learning model via transfer learning, effectively bridging the domain gap between synthetic and real X-ray data. A novel style transfer mechanism also allows us to convert real X-rays to mirror the synthetic domain, enabling our in-silico-trained X23D model to achieve high accuracy in real-world settings.
 Our results demonstrated that the refined model can rapidly generate accurate 3D reconstructions of the entire lumbar spine from as few as three intraoperative fluoroscopic shots. It achieved an 84% F1 score, matching the accuracy of our previous synthetic data-based research. Additionally, with a computational time of only 81.1 ms, our approach provides real-time capabilities essential for surgery integration.
 Through examining ideal imaging setups and view angle dependencies, we've further confirmed our system's practicality and dependability in clinical settings. Our research marks a significant step forward in intraoperative 3D reconstruction, offering enhancements to surgical planning, navigation, and robotics.
Historical Importance of Natural Heritage Monuments in Villupuram District, Tamil Nadu – A Study
Creators: name: International Journal of Indian Science and Research
Publisher: name: International Journal of Indian Science and Research
Year: 2024
Subjects: Natural Heritage Monuments, Protected Monuments, Ticketed Monuments, Edifices, Historical importance.

description: This article focused to reveal the historical importance of natural heritage monuments in Villupuram district. Villupuram is the prominent centre which has unique history, form the pre-historic to modern era. Heritage is covered some of the edifices like structures, buildings, artifacts which precincts that aesthetic, cultural, architectural, and historic significance.  Also it has natural features with unique environmental significance and precincts the scenic beauty such as sacred groves, hills, hillocks, water bodies (and the areas adjoining the same), open areas, wooded areas, etc.  In the natural context, heritage includes mountains, landscapes, gardens, parks, wilderness, rivers, islands, flora, and fauna.  The subjective human assessment dependent on the cultural components and its value depends on the history. The Natural heritage centres held in Villpuram district namely Gingee fort, Ennayiram, Thirunathar Kundru, and Kabilar Kundru. Villupuram was a unique to having almost all heritage monuments, especially natural. Because, this landscape is given the great possibility, to attribute the nature could be become heritage monuments.
245 $A Scriptoteket
Creators: name: Heggø, Dan Michael O.
name: Låberg, Kyrre Traavik
name: Akerholt, Line Nybakk
name: Kvale, Live Håndlykken
name: Hammerstrøm, Maria
Publisher: name: Zenodo
Year: 2015
Subjects: library automation
library collaboration
professional networks

description: Scriptoteket er et åpent, uformelt nettverk for deling av kode og utviklingsideer for bibliotek. Samarbeidet ble igangsatt fra Realfagsbiblioteket ved UiO våren 2013 og har nå medlemmer fra alle avdelingene til Universitetsbiblioteket i Oslo. Felles for medlemmene er en interesse for å bruke scripting og automatisering for å forenkle og forbedre den daglige bibliotekdriften. Til tross for at ingen er programmeringsninjaer, og mange ikke kan kode selv, kan kreative og tekniske personer bruke Scriptoteket som en arena for å utveksle ideer om automatisering. Med mye kunnskap om biblioteksystemer har Scriptoteket også blitt en naturlig samarbeidspartner for studentdrevne utviklingsprosjekter i biblioteket.

Denne posteren beskriver noen av våre småskala utviklingsprosjekter.
Quantitative Metrics for Benchmarking Medical Image Harmonization
Creators: name: Parida, Abhijeet
name: Jiang, Zhifan
name: Packer, Roger J.
name: Avery, Robert A.
name: Anwar, Syed M.
name: Linguraru, Marius G.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Image harmonization is an important preprocessing strategy to address domain shifts arising from data acquired using different machines and scanning protocols in medical imaging. However, benchmarking the effectiveness of harmonization techniques has been a challenge due to the lack of widely available standardized datasets with ground truths. In this context, we propose three metrics: two intensity harmonization metrics and one anatomy preservation metric for medical images during harmonization, where no ground truths are required. Through extensive studies on a dataset with available harmonization ground truth, we demonstrate that our metrics are correlated with established image quality assessment metrics. We show how these novel metrics may be applied to real-world scenarios where no harmonization ground truth exists. Additionally, we provide insights into different interpretations of the metric values, shedding light on their significance in the context of the harmonization process. As a result of our findings, we advocate for the adoption of these quantitative harmonization metrics as a standard for benchmarking the performance of image harmonization techniques.
description: Accepted for presentation at the ISBI 2024
ELECTRON PARAMAGNETIC DATING OF FOSSIL TOOTH AT THE AGHSTAFA DISTRICT IN AZERBAIJAN
Creators: name: Mammadov, Sahib
name: Ahadova, Aybeniz
Publisher: name: Zenodo
Year: 2020

description: At present, the study of an archaeological site without the associated radioisotope research methodsis an anachronism. As many geoarchaeologists rightly point out, the cultural layer cannot be fullystudied only by excavating and collecting artifacts; this requires the application of methods of naturalsciences.Electron paramagnetic resonance (EPR) analysis is one of the alternative methods on dating of ancientartifacts and based on the fact that natural ionizing irradiation produces paramagnetic centersin tooth enamel with the long mean life. Those centers are stable at the temperatures below 100ºC and might be considered as a measure of the total irradiation dose to which a particular samplehas been exposed. In this work the EPR method has been applied to determine the age of animaltooth enamel found in Aghstafa archeological site in Azerbaijan. Method based on the fact that theintensity of the EPR signal increases linearly with the additional laboratory irradiation. The enamelwas initially removed from teeth using a dental drill and water cooling. The 2 mm mean thicknessenamel was then placed in a 30% NaOH solution for one day to disinfect it and separate any remainingdentine. A dental drill was used to strip around 50±5 μm from inside and outside of theenamel surface to ensure that alpha radiation had no effect. In total 0.6 g enamel was collected andit was air-dried at room temperature for three days. ESR signal for the sample was measured with aBruker EMXplus (X-band) spectrometer. Fig. 1 shows the dose dependence spectra for the enamelsample from the tooth found Aghstafa district of Azerbaijan. The archaeological dose obtained bythe extrapolation back to zero ordinate was 9.73±0.47 Gy. In order to estimate the natural dose ratesoil samples were collected from the site and U, Th, and K content analysis by gamma spectrometryCanberra GR4520. ROSY program was employed to calculate the age of tooth enamel. The age ofthe tooth found in Aghstafa archeological site was estimated as 8432+/-416 BP.
Colección de Canciones andaluzas: Digital Edition
Creators: name: Jacsont Pauline
Publisher: name: Zenodo
Year: 2024
Subjects: Spanish literature
Digital edition
XML-TEI

description: Digital edition of a Spanish pliego de cordel (19th c.). It contains the XML-TEI file of the edition, as well as the files that led to this edition, i.e. the digital facsimiles (raw and retouched), and the transcription produced by the OCR tool eScriptorium (ALTO-XML). This digital edition is a part of the research project Desenrollando el cordel / Untangling the cordel / Démêler le cordel (2020-2024), led by professor Constance Carta at the University of Geneva and supported by the philanthropic Sandoz-Monique de Meuron Family Foundation.
FORMULATION DEVELOPMENT AND IN-VITRO EVALUATION OF EXTENDED-RELEASE TABLETS CONTAINING AZILSARTAN
Creators: name: Satyabrata Jena*, Mohammad Sadik Khanushiya, Lalith Sagar Reddy Gade, Sabita Sahoo, A V Kishore Babu, A Srinivasa Rao
Publisher: name: Zenodo
Year: 2024

description: The current work was focused to formulate and evaluate extended release tablets of Azilsartan. Eudragit RL, Ethyl Cellulose and Carbopol p934 are matrix polymer can be used in formulation of extended release dosage form. Azilsartan was considered as ideal drug for extended release formulation. The extended release matrix of Azilsartan were prepared by direct compression method in differ matrix polymers ratio. Pre formulation studies have been performed for the Active Pharmaceutical Ingredient. Drug Excipient compatibility studies have been performed and the tablets have been prepared in eight different formulations with the change in the ratios of polymers. These tablets are evaluated for various parameters including the release of drug by using dissolution studies. Hence the study resulted in the development of Azilsartan extended release tablets F4 formulation was considered as optimized formulation. The Kinetic treatment of selected formulation F4 showed that the release of drug follows Zero order models.

Keywords: Azilsartan, Eudragit RL, Ethyl Cellulose, Carbopol p934 and extended release tablets.
FORMULATION, EVALUATION AND OPTIMIZATION OF NITROFURANTOIN DELAYED RELEASE MATRIX TABLETS
Creators: name: Narottam Pal*, A.Srinivasa Rao, Devakoti Nikitha, Farah Naheen Sultana
Publisher: name: Zenodo
Year: 2024

description: The aim of the present work was to develop an extended-release dosage form of Nitrofurantoin. Tablets of the above said drug were prepared using hydrophobic and hydrophilic polymers like Badham Gum, Cashew nut tree gum and synthetic polymers Eudragit L- 100 and HPMC K4M, prepared by direct compression method and evaluated for various pre and post compression parameters. Hydrophobic matrix tablets failed to prolong the drug release, whereas Hydrophilic based matrix tablets showed good drug release.  Whereas from the dissolution studies it was evident that the formulation (F7) showed better and desired drug release pattern i.e., 99.10 % in  12 hours. It contains the Eudragit L- 100 as extended release material. It followed peppas release kinetics mechanism.

Keywords: Nitrofurantoin, Badham Gum, Cashew nut tree gum, Eudragit L- 100, HPMC K4M, direct compression and extended release system.
Colección de Canciones andaluzas: Digital Edition
Creators: name: Jacsont Pauline
Publisher: name: Zenodo
Year: 2022
Subjects: Spanish literature
Digital edition
XML-TEI

description: Digital edition of a Spanish pliego de cordel (19th c.). It contains the XML-TEI file of the edition, as well as the files that led to this edition, i.e. the digital facsimiles (raw and retouched), and the transcription produced by the OCR tool e-Scriptorium (ALTO-XML). This digital edition is a part of the research project Desenrollando el cordel / Untangling the cordel / Démêler le cordel (2020-2024), led by the professor Constance Carta at the University of Geneva and supported by the philanthropic Sandoz-Monique de Meuron Family Foundation.
Additional file 1 of Relationship between risk, cumulative burden of exacerbations and mortality in patients with COPD: modelling analysis using data from the ETHOS study
Creators: name: Rhodes, Kirsty
name: Jenkins, Martin
name: de Nigris, Enrico
name: Aurivillius, Magnus
name: Ouwens, Mario
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Science Policy

description: Additional file 1.
Inverse Faraday effect in superconductors with potential impurities
Creators: name: Dzero, Maxim
Publisher: name: arXiv
Year: 2024
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: I consider a nonlinear response of conventional superconductors contaminated with potential impurities or imperfections to a circular polarized light. I focus on dc contributions to the induced current density which describe the emergence of the static magnetization in a superconductor. This effect is known as inverse Faraday effect. By employing quasiclassical theory of superconductivity I derive an expression for the induced static magnetization as a function of frequency of an external ac field and disorder scattering rate. The scattering of electrons off potential impurities is taken into account within the framework of the self-consistent Born approximation. It is found that the magnitude of the inverse Faraday effect decreases with an increase in disorder scattering rate. I have also discovered that the value of the induced magnetization has a characteristic minimum at a frequency which approximately equals twice the value of the pairing gap in a clean superconductor and shifts to higher values with an increase in disorder scattering rate.
description: 8 pages, 3 figures, 56 references
From Variability to Stability: Advancing RecSys Benchmarking Practices
Creators: name: Shevchenko, Valeriy
name: Belousov, Nikita
name: Vasilev, Alexey
name: Zholobov, Vladimir
name: Sosedka, Artyom
name: Semenova, Natalia
name: Volodkevich, Anna
name: Savchenko, Andrey
name: Zaytsev, Alexey
Publisher: name: arXiv
Year: 2024
Subjects: subject: Information Retrieval (cs.IR)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In the rapidly evolving domain of Recommender Systems (RecSys), new algorithms frequently claim state-of-the-art performance based on evaluations over a limited set of arbitrarily selected datasets. However, this approach may fail to holistically reflect their effectiveness due to the significant impact of dataset characteristics on algorithm performance. Addressing this deficiency, this paper introduces a novel benchmarking methodology to facilitate a fair and robust comparison of RecSys algorithms, thereby advancing evaluation practices. By utilizing a diverse set of $30$ open datasets, including two introduced in this work, and evaluating $11$ collaborative filtering algorithms across $9$ metrics, we critically examine the influence of dataset characteristics on algorithm performance. We further investigate the feasibility of aggregating outcomes from multiple datasets into a unified ranking. Through rigorous experimental analysis, we validate the reliability of our methodology under the variability of datasets, offering a benchmarking strategy that balances quality and computational demands. This methodology enables a fair yet effective means of evaluating RecSys algorithms, providing valuable guidance for future research endeavors.
description: 8 pages with 11 figures
FORMULATION DEVELOPMENT AND EVALUATION OF FAST DISSOLVING FILM OF LANSOPRAZOLE
Creators: name: Mohd Abdul Hadi*, Mariya Baig
Publisher: name: Zenodo
Year: 2024

description: The study aimed to develop and evaluate fast-dissolving films of Lansoprazole, designed to enhance drug delivery, improve patient compliance, and provide rapid onset of therapeutic action. Lansoprazole fast-dissolving films were formulated using various film-forming polymers, plasticizers, and other excipients. The films were prepared through a solvent casting technique, and their physical properties—including appearance, thickness, and flexibility—were assessed. Key formulation parameters were optimized to achieve a rapid disintegration time and effective drug release. In vitro dissolution tests were conducted to evaluate the release profile of Lansoprazole, and disintegration studies were performed in simulated saliva to ensure the films dissolve quickly.  The formulated fast-dissolving films exhibited favorable characteristics, including uniform thickness, adequate flexibility, and rapid disintegration in oral conditions. The in vitro dissolution studies demonstrated a prompt and consistent release of Lansoprazole, aligning with the intended rapid onset of action.  The development of Lansoprazole fast-dissolving films was successful in achieving a rapid and effective drug release profile. The films offer a promising alternative to traditional oral dosage forms, improving patient convenience and adherence.

Keywords: Lansoprazole fast-dissolving films
The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth
Creators: name: Lissak, Shir
name: Calderon, Nitay
name: Shenkman, Geva
name: Ophir, Yaakov
name: Fruchter, Eyal
name: Klomek, Anat Brunstein
name: Reichart, Roi
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Queer youth face increased mental health risks, such as depression, anxiety, and suicidal ideation. Hindered by negative stigma, they often avoid seeking help and rely on online resources, which may provide incompatible information. Although access to a supportive environment and reliable information is invaluable, many queer youth worldwide have no access to such support. However, this could soon change due to the rapid adoption of Large Language Models (LLMs) such as ChatGPT. This paper aims to comprehensively explore the potential of LLMs to revolutionize emotional support for queers. To this end, we conduct a qualitative and quantitative analysis of LLM's interactions with queer-related content. To evaluate response quality, we develop a novel ten-question scale that is inspired by psychological standards and expert input. We apply this scale to score several LLMs and human comments to posts where queer youth seek advice and share experiences. We find that LLM responses are supportive and inclusive, outscoring humans. However, they tend to be generic, not empathetic enough, and lack personalization, resulting in nonreliable and potentially harmful advice. We discuss these challenges, demonstrate that a dedicated prompt can improve the performance, and propose a blueprint of an LLM-supporter that actively (but sensitively) seeks user context to provide personalized, empathetic, and reliable responses. Our annotated dataset is available for further research.
Negative cognitive style and attentional switching interact with emotional maltreatment to predict first onset of a major depressive episode in adolescence via hopelessness
Creators: name: Giollabhui, Naoise Mac
name: Hamilton, Jessica L.
name: Nielsen, Johanna
name: Connolly, Samantha L.
name: Stange, Jonathan P.
name: Varga, Sean
name: Burdette, Evan
name: Abramson, Lyn Y.
name: Alloy, Lauren B.
Publisher: name: F1000Research
Year: 2016

description: The hopelessness theory of depression enjoys substantial empirical support. Further research, however, is needed to evaluate the mediating role of hopelessness and the role of cognitive functioning as an antecedent of hopelessness. The current study tested whether hopelessness mediates the relationship between i) a negative inferential style-emotional maltreatment interaction and ii) an attentional functioning-emotional maltreatment interaction and increased depressive symptoms and first onset of a major depressive episode (MDE) in a fully prospective design. A diverse sample of 253 adolescents aged 12-13 years were recruited and assessed at baseline and three or more follow-ups over approximately 2.5 years. Self-report, behavioral tasks, and diagnostic interviews were used to assess demographics, inferential style, attentional functioning, emotional maltreatment, childhood life events, hopelessness, depressive symptoms and diagnosis. Moderated mediation analyses indicated that hopelessness mediated the relationship between i) a negative inferential style-emotional maltreatment interaction and first onset of a MDE as well as future depressive symptoms (b = .016; 95% CI: .009, .096) and ii) an attentional switching-emotional maltreatment interaction and first onset of a MDE and future depressive symptoms (b = -.016; 95% CI: -.036, -.002). The current study provides additional support for the validity of the hopelessness theory of depression and its clinical relevance in predicting first onset of major depressive episodes in adolescence. Further, it suggests that worse attentional functioning may be a risk factor for the development of hopelessness and later depression.
Post-Minkowskian Theory Meets the Spinning Effective-One-Body Approach for Two-Body Scattering
Creators: name: Buonanno, Alessandra
name: Jakobsen, Gustav Uhre
name: Mogull, Gustav
Publisher: name: arXiv
Year: 2024
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Effective-one-body (EOB) waveforms employed by the LIGO-Virgo-KAGRA Collaboration have primarily been developed by resumming the post-Newtonian expansion of the relativistic two-body problem. Given the recent significant advancements in post-Minkowskian (PM) theory and gravitational self-force formalism, there is considerable interest in creating waveform models that integrate information from various perturbative methods in innovative ways. This becomes particularly crucial when tackling the accuracy challenge posed by upcoming ground-based detectors (such as the Einstein Telescope and Cosmic Explorer) and space-based detectors (such as LISA, TianQin or Taiji) expected to operate in the next decade. In this context, we present the derivation of the first spinning EOB Hamiltonian that incorporates PM results up to three-loop order: the SEOB-PM model. The model accounts for the complete hyperbolic motion, encompassing nonlocal-in-time tails. To evaluate its accuracy, we compare its predictions for the conservative scattering angle, augmented with dissipative contributions, against numerical-relativity data of non-spinning and spinning equal-mass black holes. We observe very good agreement, comparable, and in some cases slightly better to the recently proposed $w_{\rm EOB}$-potential model, of which the SEOB-PM model is a resummation around the probe limit. Indeed, in the probe limit, the SEOB-PM Hamiltonian and scattering angles reduce to the one of a test mass in Kerr spacetime. Once complemented with nonlocal-in-time contributions for bound orbits, the SEOB-PM Hamiltonian can be utilized to generate waveform models for spinning black holes on quasi-circular orbits.
description: Version 2: minor changes, published in PRD. 25 pages, 10 figures, 8 tables, 1 ancillary file