bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating the effect of steel fibers on the mechanical performance of high-volume fly ash concrete
Authors: Vijay Kunamineni , Teja Prathipati S R R , Sagar Tummala Santhi , Paluri Yeswanth 
Published: January 2023

Abstract
The construction sector contributes significantly to environmental degradation by completely depleting energy resources. Cement industry emissions are the most significant contributors to climate change along with global warming. To address this issue, researchers are investigating different materials with cementing properties thereby replacing the cement in concrete either partially or completely. Various materials such as different types of ashes and slags have been effectively utilized as cement substitutes thereby making the concrete sustainable. Partial substitution of cement with fly ash has a positive impact on the overall performance of concrete but the incorporation of fly ash at a higher volume into the concrete reduces its characteristics. The objective of this work was to improve the overall performance of High-Volume Fly-Ash concrete by incorporating steel fibers with varying volume fractions. From this study, it can be inferred that reinforcing with steel fibers up to 1.2% fiber volume has compensated for the negative effect of HVFA by improving the overall properties.
Parametric study on response of multi-storied building equipped with viscous and visco-elastic dampers subjected to ground motions.
Authors: Aga Saima , Naik Madhuraj 
Published: January 2023

Abstract
Viscous and viscoelastic dampers are passive energy dissipation devices that are used in multi storied buildings to reduce the effect of lateral vibrations arising from earthquakes and wind. Passive devices are those that require no energy to function. The performance of such devices can be affected by many factors like seismic zone, building height, soil type and placement of dampers. In this paper, the effect of using viscous and visco-elastic dampers on response of multi-story building was investigated. For this purpose, multi-story building was modelled in Finite element software. Various parameters like height of building, seismic zone, soil type and placement of dampers were varied in the FEM model. To investigate the seismic response, non-linear time history analysis was performed by subjecting the building to ground motion (Imperial Valley 1940). Seismic responses of the models were studied and compared in terms of results like top floor (roof) displacement, storey drift and ground floor level (base) shear. It was found that viscous dampers are more effective in dissipating energy. Optimum position of dampers was also found out. All the parametric results were obtained and plotted in graphs.
Comparative Analysis & Design of RCC & Steel Preheater Tower Structure by Using STAAD. Pro
Authors: Vamsi Krishna B. , Sudheer Kumar P. , Chandana Kurma , Bhoomesh Shyamala , Venu Gopal P. 
Published: January 2023

Abstract
A liquid material after water concrete is the most consuming material in the world, concrete is the most important construction material used extensively to construct buildings, dams, roads, etc. As we know that concrete is a composite material with cement, coarse & fine aggregates bonding together with water that gives hardness with time. As per the 2018 year statistics, India is the second largest producer of cement in the world with 460 million tonnes per year which is over 8% of the global installed capacity. Cement is the most important material in concrete, In India, at present, there are 120 major cement plants and nearly 300 mini cement plants are manufacturing the cement. In Cement plants ‘Preheater tower’ is used, these preheater tower consists of several cyclones, these raw materials are fed at the top of the preheater tower through cyclones it travels to the bottom of the preheater tower, each cyclone in the preheater serves as a heat exchanger and a separate. In this project, a comparative analysis & design will be done between both the RCC structure & Steel structure Preheater tower as per Indian design standards by using Staad Pro software. In this design process, the loads which are affecting the structure will be taken and designed. And also the pros & cons will be discussed between the RCC & Steel structure Preheater tower. Here the height of the RCC and steel Preheater tower taking as 110 meters. It is observed that Maximum displacements at a height of 110 mts in RCC preheater tower are 130.59 mm and Steel preheater tower is 102.238 mm. The Maximum Moment at critical load combination is more in RCC preheater tower (i.e 205.6 kN.m) than Steel preheater tower (i.e 190.1 kN.m).The Maximum shear at critical load combination is more in Steel preheater tower 62.0 kN is more than RCC preheater tower 28.7 kN.
Probability based Assessment of Soil Liquefaction Potential in Vijayawada Region (CRDA)
Authors: Donavalli Jahnavi , Ram Babu T S , Rani Chukka Sandhya 
Published: January 2023

Abstract
Risks of liquefaction are commonly related to saturated cohesionless soils that have low plasticity and density. As liquefaction causes severe destruction to structures and risk of losing lifeline it is important to study the liquefaction potential for CRDA region because for the development of AP capital heavy structures are being constructed and a population increase is being expected in this region. In the current investigation, soil resistance to liquefaction was analyzed in each bore log in consideration of significant soil characteristics such as grain size, fines content, unit weight, saturation percentage, SPT N-value, and soil origin. The safety factor for liquefaction is evaluated using data from several bore holes that were collected and used for this purpose. The approach recommended by Seed and Idriss was utilized to assess the safety factor for liquefaction. The obtained results from the semi-empirical calculations are further compared to the results obtained from Software for more reliability.
Prediction and Comparison of Rainfall-Runoff Using Mathematical Model
Authors: D L Prasanna S V S N , Sandeep Reddy K , Chandrasekhar  , Sai Shivani S , Divya E 
Published: January 2023

Abstract
The Runoff assessment is a crucial parameter in understanding the urban flooding scenario. This estimation becomes the deciding factor because of the uneven distribution of rainfall. Physics-based models for simulation of Runoff from catchments are composite models based on learning algorithms. The application of models to water resource problems is complex due to the incredible spatial variability of the characteristics of watershed and precipitation forms — the pattern-learning algorithms. Fuzzy-based algorithms, Artificial Neural Networks (ANNs), etc., have gained wide recognition in simulating the Rainfall-Runoff (RR), producing a comparable accuracy. In the present study, RR modeling is carried out targeting the application and estimation of Runoff using mathematical modeling. The investigations were carried out for the Malkajgiri catchment adopting 16 years of daily data from 2005 to 2021. The statistical learning theory-based pattern-learning algorithm is further utilized to evaluate the value of Runoff for the year 2021. The results were found to have fair accordance with the analytical outcomes.
Nucleus pulposus cell-derived efficient microcarrier for intervertebral disc tissue engineering
Authors: Zhou Xiaopeng , Shen Ning , Tao Yiqing , Wang Jingkai , Xia Kaishun , Ying Liwei , Zhang Yuang , Huang Xianpeng , Hua Jianming , Liang Chengzhen , Chen Qixin , Li Fangcai 
Published: January 2023

Abstract
Adipose-derived stem cells (ADSCs) show great potential for the treatment of intervertebral disc (IVD) degeneration. An ideal carrier is necessary to transplant ADSCs into degenerated IVDs without influencing cell function. Nucleus pulposus cells (NPCs) can synthesize and deposit chondroitin sulfate and type II collagen which are NP-specific extracellular matrix (ECM) and can also regulate the NP-specific differentiation of stem cells. Bioscaffolds fabricated based on the ECM synthesis functions of NPCs have possible roles in cell transplantation and differentiation induction, but it has not been studied. In this study, we first aggregated NPCs into pellets, and then, NPC-derived efficient microcarriers (NPCMs) were fabricated by pellet cultivation under specific conditions and optimized decellularization. Thirdly, we evaluated the microstructure, biochemical composition, biostability and cytotoxicity of the NPCMs. Finally, we investigated the NP-specific differentiation of ADSCs induced by the NPCMs in vitro and NP regeneration induced by the ADSC-loaded NPCMs in a rabbit model. The results indicated that the injectable NPCMs retained maximal ECM and minimal cell nucleic acid after optimized decellularization and had good biostability and no cytotoxicity. The NPCMs also promoted the NP-specific differentiation of ADSCs in vitro. In addition, the results of MRI, x-ray, and the structure and ECM content of NP showed that the ADSCs-loaded NPCMs can partly restored the degenerated NP in vivo. Our injectable NPCMs regenerated the degenerated NP and provide a simplified and efficient strategy for treating IVD degeneration.
Spatial accuracy of the stereotactic Leksell® Vantage™ head frame in comparison with the standard stereotactic Leksell® G Frame for Gamma-Knife
Authors: Vincent Marion , Michel-Amadry Géraldine , Nigoul Jean-Marc , Beltaïfa Yassine , Régis Jean 
Published: January 2023

Abstract

Purpose. Since January 2021, the Leksell® Vantage head frame (V-frame) is used for Gamma Knife® treatments in addition to the historical Leksell® G-Frame known as the reference. The aim of this study was to compare the spatial accuracy of treatments with these two frames. Methods. Firstly, the constancy of the geometric accuracy of the system according to the Elekta quality assurance process was carried out during sixteen months with V and G–frames’ adaptors. Then, End-to-end test was carried out with both V and G-frame using an anthropomorphic phantom and Gafchromic® films. The overall precision of the radiation center was calculated as the displacement vector for a 4 mm collimator shot. Additionally, the Cone Beam Computed Tomography (CBCT) positioning system was used to assess the precision of the Leksell coordinates system defined by V-frames on 64 patients in comparison to G-frames for 46 patients. To ensure that patient’s head movement was not possible during treatment with the V-frame, the High Definition Motion Management (HDMM) system was used and a final CBCT was performed at the end of the irradiation. Results. The QA constructor’s tests done with the G-frame and V-frame adaptor gave similar results over sixteen months. End-to-end tests demonstrated that the mean positioning accuracy was 0.54 mm (SD of 0.14 mm) and 0.70 mm (SD of 0.14 mm) with V-frame and G-frame respectively. The displacement vector given by CBCT ranged from 0.02 to 1.05 mm with a mean value of 0.38 mm (SD of 0.18 mm) for the 64 V-framed patients and from 0 to 0.92 mm with a mean value of 0.31 mm (SD of 0.18 mm) for the 46 G-framed patients. The mean translation movement between the beginning and the end of the 64 treatments with V-frame was 0.08 mm (SD of 0.04 mm, maximum value of 0.19 mm). Conclusion. We estimated that V-frames are as precise as G-frames with a targeting accuracy of less than 1 mm.
Correcting for the effect of ambient pressure fluctuations on measured output from a linear accelerator with a sealed monitor chamber
Authors: Takagi Masafumi , Narita Yuichiro , Chai Hongbo , Kimura Tomomi , Soda Kenji , Kattou Keiichi 
Published: January 2023

Abstract

Objective. Ambient pressure fluctuations deform the walls of a sealed monitor chamber in a linear accelerator (LINAC) and affect the output. This study retrospectively quantified the output variations accompanying ambient pressure fluctuations in a LINAC equipped with a sealed monitor chamber and introduced a novel approach of calculating the adjusted output free from the effect of ambient pressure fluctuations. Approach. The output data for the 6 MV and 10 MV X-rays measured between March 2014 and September 2015 were analysed. This period was further divided into four sub-periods according to the output calibrations. Output behaviours were modelled using multiple regression analysis with ambient pressure and the time elapsed since the last calibration as explanatory variables. The output variations accompanying ambient pressure fluctuations were calculated using regression parameters and were subtracted from the measured outputs to obtain the adjusted outputs. Main results. The partial regression coefficients for ambient pressure varied from −2.3 × 10−4 to −1.8 × 10−4 cGy/MU/hPa for 6 MV and from −1.9 × 10−4 to −1.2 × 10−4 cGy/MU/hPa for 10 MV X-rays. These partial regression coefficient values were comparable among the four sub-periods and the two x-ray energies, respectively. These findings suggest that the degree of the output variations accompanying ambient pressure fluctuations is independent of x-ray energies and is determined by the internal structure of the chamber and the pressure differential between the inside and outside of the chamber. The adjusted outputs showed a better fit with the time trend line than the measured outputs. Significance. This study demonstrates a novel procedure for obtaining the adjusted outputs and allows precise observation of the output behaviours of a LINAC equipped with a sealed monitor chamber. Combined observation of the measured and adjusted output facilitates the detection of output anomalies, thus contributing to quality control (QC) of LINACs.
Roadmap for optical tweezers
Authors: Volpe Giovanni , Maragò Onofrio M , Rubinsztein-Dunlop Halina , Pesce Giuseppe , Stilgoe Alexander B , Volpe Giorgio , Tkachenko Georgiy , Truong Viet Giang , Chormaic Síle Nic , Kalantarifard Fatemeh , Elahi Parviz , Käll Mikael , Callegari Agnese , Marqués Manuel I , Neves Antonio A R , Moreira Wendel L , Fontes Adriana , Cesar Carlos L , Saija Rosalba , Saidi Abir , Beck Paul , Eismann Jörg S , Banzer Peter , Fernandes Thales F D , Pedaci Francesco , Bowen Warwick P , Vaippully Rahul , Lokesh Muruga , Roy Basudev , Thalhammer-Thurner Gregor , Ritsch-Marte Monika , García Laura Pérez , Arzola Alejandro V , Castillo Isaac Pérez , Argun Aykut , Muenker Till M , Vos Bart E , Betz Timo , Cristiani Ilaria , Minzioni Paolo , Reece Peter J , Wang Fan , McGloin David , Ndukaife Justus C , Quidant Romain , Roberts Reece P , Laplane Cyril , Volz Thomas , Gordon Reuven , Hanstorp Dag , Marmolejo Javier Tello , Bruce Graham D , Dholakia Kishan , Li Tongcang , Brzobohatý Oto , Simpson Stephen H , Zemánek Pavel , Ritort Felix , Roichman Yael , Bobkova Valeriia , Wittkowski Raphael , Denz Cornelia , Kumar G V Pavan , Foti Antonino , Donato Maria Grazia , Gucciardi Pietro G , Gardini Lucia , Bianchi Giulio , Kashchuk Anatolii V , Capitanio Marco , Paterson Lynn , Jones Philip H , Berg-Sørensen Kirstine , Barooji Younes F , Oddershede Lene B , Pouladian Pegah , Preece Daryl , Adiels Caroline Beck , De Luca Anna Chiara , Magazzù Alessandro , Bronte Ciriza David , Iatì Maria Antonia , Swartzlander Grover A 
Published: January 2023

Abstract
Optical tweezers are tools made of light that enable contactless pushing, trapping, and manipulation of objects, ranging from atoms to space light sails. Since the pioneering work by Arthur Ashkin in the 1970s, optical tweezers have evolved into sophisticated instruments and have been employed in a broad range of applications in the life sciences, physics, and engineering. These include accurate force and torque measurement at the femtonewton level, microrheology of complex fluids, single micro- and nano-particle spectroscopy, single-cell analysis, and statistical-physics experiments. This roadmap provides insights into current investigations involving optical forces and optical tweezers from their theoretical foundations to designs and setups. It also offers perspectives for applications to a wide range of research fields, from biophysics to space exploration.
Soft robotics for physical simulators, artificial organs and implantable assistive devices
Authors: Zrinscak Debora , Lorenzon Lucrezia , Maselli Martina , Cianchetti Matteo 
Published: January 2023

Abstract
In recent years, soft robotics technologies enabled the development of a new generation of biomedical devices. The combination of elastomeric materials with tunable properties and muscle-like motions paved the way toward more realistic phantoms and innovative soft active implants as artificial organs or assistive mechanisms. This review collects the most relevant studies in the field, giving some insights about their distribution in the past 10 years, their level of development and opening a discussion about the most commonly employed materials and actuating technologies. The reported results show some promising trends, highlighting that the soft robotics approach can help replicate specific material characteristics in the case of static or passive organs but also reproduce peculiar natural motion patterns for the realization of dynamic phantoms or implants. At the same time, some important challenges still need to be addressed. However, by joining forces with other research fields and disciplines, it will be possible to get one step closer to the development of complex, active, self-sensing and deformable structures able to replicate as closely as possible the typical properties and functionalities of our natural body organs.
Accurately modeling biased random walks on weighted networks usingnode2vec+
Authors: Liu Renming , Hirn Matthew , Krishnan Arjun 
Published: January 2023

AbstractMotivationAccurately representing biological networks in a low-dimensional space, also known as network embedding, is a critical step in network-based machine learning and is carried out widely using node2vec, an unsupervised method based on biased random walks. However, while many networks, including functional gene interaction networks, are dense, weighted graphs, node2vec is fundamentally limited in its ability to use edge weights during the biased random walk generation process, thus under-using all the information in the network.ResultsHere, we present node2vec+, a natural extension of node2vec that accounts for edge weights when calculating walk biases and reduces to node2vec in the cases of unweighted graphs or unbiased walks. Using two synthetic datasets, we empirically show that node2vec+ is more robust to additive noise than node2vec in weighted graphs. Then, using genome-scale functional gene networks to solve a wide range of gene function and disease prediction tasks, we demonstrate the superior performance of node2vec+ over node2vec in the case of weighted graphs. Notably, due to the limited amount of training data in the gene classification tasks, graph neural networks such as GCN and GraphSAGE are outperformed by both node2vec and node2vec+.Availability and implementationThe data and code are available on GitHub at https://github.com/krishnanlab/node2vecplus_benchmarks. All additional data underlying this article are available on Zenodo at https://doi.org/10.5281/zenodo.7007164.Supplementary informationSupplementary data are available at Bioinformatics online.
Clinical significance of the rivaroxaban–dronedarone interaction: insights from physiologically based pharmacokinetic modelling
Authors: Hügl Burkhard , Horlitz Marc , Fischer Kerstin , Kreutz Reinhold 
Published: January 2023

Abstract
Patients with atrial fibrillation may require rhythm control therapy in addition to anticoagulation therapy for the prevention of stroke. Since 2012, the European Society of Cardiology and European Heart Rhythm Association guidelines have recommended non-vitamin K antagonist oral anticoagulants, including rivaroxaban, for the prevention of stroke in patients with atrial fibrillation. During the same period, these guidelines have also recommended dronedarone or amiodarone as second-line rhythm control agents in certain patients with atrial fibrillation and no contraindications. Amiodarone and dronedarone both strongly inhibit P-glycoprotein, while dronedarone is a moderate and amiodarone a weak inhibitor of cytochrome P450 3A4 (CYP3A4). Based on these data and evidence from physiologically based pharmacokinetic modelling, amiodarone and dronedarone are expected to have similar effects on rivaroxaban exposure resulting from P-glycoprotein and CYP3A4 inhibition. However, the rivaroxaban label recommends against the concomitant use of dronedarone, but not amiodarone, citing a lack of evidence on the concomitant use of rivaroxaban and dronedarone as the reason for the different recommendations. In this report, we discuss evidence from clinical studies and physiologically based pharmacokinetic modelling on the potential for increased rivaroxaban exposure resulting from drug–drug interaction between rivaroxaban and dronedarone or amiodarone. The current evidence supports the same clinical status and concomitant use of either amiodarone or dronedarone with rivaroxaban, which could be considered in future recommendations.
Queer Hostages for Hanoi
Authors: Duberman Martin 
Published: January 2023

Abstract
This memoir of peace activism in the United States in the early 1970s, as the Vietnam war was drawing to a close, focuses on the difficulties of sustaining an effective anti-war campaign. It describes several key protests: sit-ins outside the Senate chamber in Washington, after one of which the writer was briefly jailed; the attempt to secure the Nobel Peace Prize for all those Americans who refused to fight in Vietnam; and in particular a keenly debated and eventually unsuccessful initiative, led by sexual dissidents, to enlist prominent Americans to travel to Hanoi to deter American bombing of the North Vietnamese capital. Based on his own experiences and recollections, Martin Duberman discusses the overlap between the peace movement, the emerging gay and feminist movements, and the sporadic attempts to ally with the Black liberation movement. He speculates, as well, about the overall effectiveness of the anti-war movement in helping to bring the disastrous conflict in Vietnam – which claimed more than two-million lives – to a close.
On Figaro’s Alleged Minuet and Some Challenges and Opportunities of Topic Theory
Authors: Sánchez-Kisielewska Olga 
Published: January 2023

AbstractWye Allanbrook (1983) famously observed a humorous allusion to the minuet style in the aria “Se vuol ballare” from Le Nozze di Figaro. This article provides a close reading of the opening measures of Figaro’s cavatina, investigating how this music may or may not have elicited associations with minuet music for Mozart’s intended audience. A close comparison of the musical features of “Se vuol ballare”—including phrase structure, hypermeter, and rhythm—with those of danceable minuets of the time will show that Mozart’s tune is anything but a prototypical member of the category. Instead of (or in addition to) a minuet, historical listeners might have perceived an allusion to another familiar dance: the contredanse. Such an association would have triggered different ideas about social class and afforded an alternative ironic reading of the passage. By challenging a widely accepted interpretation, this case study addresses the broader issue of how to identify topics (as a cognitive process of categorization) and explores avenues for practicing topical analysis in increasingly transparent and historically sensitive ways.