bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adaptive risk adjusted exponentially weighted moving average control chart based on accelerated failure time regression
Authors: Asif Faiza , Noor‐ul‐Amin Muhammad 
Published: September 2022

AbstractControl charts play an effective role in monitoring and controlling the performance of health care. It helps to determine the strategy to improve the process and identify the causes of variations. In recent years, the risk adjusted memory type control charts have received reasonable attention in monitoring surgical outcomes. In this research, we used the concept of an adaptive exponentially weighted moving average (AEWMA) control chart and proposed a new adaptive risk adjusted exponentially weighted moving average (ARAEWMA) control chart by using the accelerated failure time (AFT) regression. A real data set of the cardiac surgery patients is used for analysis and the patient condition is counted by personnet score method. The proposed ARAEWMA control chart is fitted by using the AFT model and run length profiles are computed at different shifts. The proposed ARAEWMA chart is better in shift detection and showed efficient results than the risk adjusted exponentially weighted moving average control chart.
Benchmarking PES‐Learn's machine learning models predicting accurate potential energy surface for quantum scattering
Authors: Kushwaha Apoorv , Dhilip Kumar Thogluva Janardhanan 
Published: September 2022

AbstractMachine learning (ML) models, neural networks, and Gaussian processes have been used to predict the potential energy surface taking C2‐He (both static and dynamic scenario) and NCCN‐He collision systems. The surface is restricted to ∽125 points where traditional spline becomes inefficacious. Quantum dynamics is performed by solving close‐coupling equation to compute cross sections benchmarking the performance of the ML models. The current study forms a basis for any future investigation of larger molecules where conventional fitting fails due to sparser ab initio points and cuts down the computational time without compromising on the quality of the surface.
Computational design of rasagiline derivatives: Searching for enhanced antioxidant capability
Authors: Reina Miguel , Guzmán‐López Eduardo Gabriel , Galano Annia 
Published: September 2022

AbstractA set of new rasagiline derivatives is presented. They were designed to be antioxidant compounds with the potential to be used for treating neurodegenerative disorders. They are expected to be multifunctional molecules that can help reduce oxidative stress, which is thought to contribute to neurodegenerative disorders. The CADMA‐Chem computational protocol was used to produce rasagiline derivatives and to evaluate their likeliness as oral drugs and antioxidants. Three of them were identified as the most promising ones. They are proposed to be better free radical scavengers than rasagiline. In addition, they are expected to keep the parent's molecule neuroprotective capability. Hopefully, the results presented here would promote further experimental and theoretical investigations on these compounds.
Assessment of flood regulation service based on source–sink landscape analysis in urbanized watershed
Authors: Zhou Kejing , Jiao Sheng , Han Zongwei , Liu Yicun 
Published: September 2022

AbstractFacing climate change and rapid urbanization, urban flooding has exposed human and properties to increasing disaster risks. The attention from researchers and decision‐makers to understand the key role of flood regulation service (FRS) in flood management has arisen. However, the mechanism of FRS supply–demand is little known from landscape scale. The FRS assessment methodology considering interacts between source, sink, and flow landscape was proposed in this study. The spatial distributions of surface runoff generation, runoff reduction capacity, and flood inundation were mapped using one‐dimensional rainfall–runoff method SCS‐CN and two‐dimensional flood propagation model CADDIES. Four 3‐hour designed rainfall scenarios ranging from nuisance to extreme events (3a, 11a, 56a, and 100a) were simulated. The Liuyang River Watershed in Changsha Municipality, China was selected for case study. The results showed that, the differences of runoff reduction coefficient and runoff generation volume between vegetation and built‐up landscape have shortened. The peak flood depth, extent of flood inundation, and peak flood velocity have increased continuously with the growing rainfall intensity. The number of source–sink mismatch catchment was the highest under 56 and 100a, and the most of source‐sink match catchments were observed under 3a. Under four rainfall scenarios, the changes of source–sink relationships were witnessed and the potentials of flow zone in source–sink mismatch catchments have increased. The FRS management framework concerning supply–demand connections has been proposed based on source–sink–flow analysis. These findings could provide a scientific basis for sustainable urban flood management and disaster risk mitigation.
One‐pot Synthesis of Propargylamines using Aldehydes‐Amines‐Acetylene via an Efficient Nickel‐Based Silica‐Coated Magnetic Nanocatalyst
Authors: Yadav Priya , Gupta Radhika , Arora Gunjan , Srivastava Anju , Sharma Rakesh K. 
Published: September 2022

AbstractThis work discloses the fabrication and characterization of a highly efficient and magnetically retrievable nickel‐based silica‐coated nanocatalyst that has been utilized to obtain relatively large number of biologically significant propargylamines via one pot fashion. A facile co‐precipitation approach was employed for obtaining spherical and disperse Fe3O4 nanoparticles, which were further modified using suitable protecting and functionalizing agents. The successful formation of nanocatalyst was thoroughly investigated by various physio‐chemical techniques such as FT‐IR, SEM, TEM, XRD, VSM, XPS, ICP‐MS and ED‐XRF The present strategy offered greener reaction condition, broad substrate scope, short reaction time and reusability up to seven runs without any appreciable loss in its catalytic activity. Moreover, it is noteworthy that this atom economical methodology does not require any co‐catalyst or activator. Hence, the outcomes of the present methodology prove the nanocatalyst is a suitable candidate for the development of green and sustainable chemical processes.
Phytochemical Profiling, Antioxidants, Antimicrobial and Anti‐Proliferative Effect of Senna hirsuta against PC‐3 Human Prostate Cancer Cells
Authors: Ramasubramanian Arumugam , Venkatachalam Karthikeyan , Chellaiah Ijin , Chinnathambi Pothiraj , Palanichamy Ayyappan , Nguyen Van‐Huy , Paulraj Balaji 
Published: September 2022

AbstractThe phytochemical profile, antioxidant, antibacterial, and cytotoxicity of Senna hirsuta (M−Sh) leaf extracts were investigated in human prostate cancer PC‐3 cell lines. Antioxidant bioactive components like phenolics, tannins, and flavonoids were measured at 15.36±0.19, 2.97±0.11, and 19.77±0.51, respectively. An intense dose‐dependent radical scavenging activity was observed for M−Sh with 83 % in 500 μg/mL for DPPH. M−Sh boosted ABTS radical inhibition from 35 % at 100 μg/ml to 70 % at 500 μg/ml, whereas hydroxyl radical scavenging was 96 % at 500 μg/ml, significantly greater than butylated hydroxytoluene (91.91 %). The maximum NO scavenging activity of M−Sh was 83 %, and the lipid peroxidation inhibition was 87 % at 500 μg/ml. The M−Sh exhibited antibacterial efficacy against Escherichia coli (25 mm), Bacillus subtilis (24 mm), and Staphylococcus aureus (21 mm). The MTT assay was used to study anti‐proliferative activity, which inhibited PC‐3 cell growth with an IC50 of 257.13 μg/mL over 24 hours. These results demonstrate that M−Sh inhibits PC‐3 cell proliferation by shedding from the surface and assuming a spherical shape. Additionally, the morphology of PC‐3 cells showed shrinkage, blebbing membrane condensation, and nuclear chromatin margination, indicating that M−Sh was cytotoxic to PC‐3 Cells.
Synergistic Effect of Drug Delivery System Combining DOX and V9302 on Gastric Cancer Cells**
Authors: Duan Qianqian , Zhang Qi , Shi Jiaying , Zhang Boye , Zhou Lan , Sang Shengbo , Xue Juanjuan 
Published: September 2022

AbstractIndividual chemotherapeutic drugs usually suffered drug resistance in the cancer treatment, and the combination therapy has aroused great interest which can reduce the resistance. Glutamine inhibitor (V9302) and chemotherapy drug doxorubicin (DOX) were combined for the first time to construct a pH‐sensitive multi‐mode synergistic treatment system BSA@CDs‐V9302/DOX. The synergistic rate CI value of the drugs was less than 1, indicating the combination therapy showed a synergistic effect on reducing cancerous cell viability. In addition, compared with the high toxicity and rapid release of free drug DOX and the poor solubility of glutamine inhibitor V9302, the BSA@CDs‐V9302/DOX administration system not only retains the pharmacological activity of V9302 and DOX, but also has an excellent time‐dependence which is more suitable for continuous treatment. BSA@CDs‐V9302/DOX drug delivery system has excellent long‐term tracing ability, which has a high application value in biomedical field.
Hierarchical fuzzy‐based Quality of Experience (QoE)‐aware application placement in fog nodes
Authors: Mirampalli Sreenivasu , Srirama Satish Narayana , Wankar Rajeev , Chillarige Raghavendra Rao 
Published: September 2022

AbstractFog computing or a fog network is a decentralized network placed in between data source and the cloud to minimize the network latency issues and thus support in‐time service delivery, of Internet of Things (IoT) applications. However, placing computational tasks of IoT applications in fog infrastructure is a challenging task. State of the art focuses on quality of service and quality of experience (QoE) based application placement. In this article, we design hierarchical fuzzy based QoE‐aware application placement strategy for mapping IoT applications with compatible instances in the fog network. The proposed method considers user application expectation parameters and metrics of available fog instances, and assigns the priority of applications using hierarchical fuzzy logic. The method later uses Hungarian maximization assignment algorithm to map applications with compatible instances. The simulation results of the proposed policy show better performance over the existing baseline algorithms in terms of resource gain (RG), processing time reduction ratio (PTRR), and similarly network relaxation ratio. When considering 10 applications in the fog network, our proposed method simulation results show 70.00%, 22.44%, 37.83% improvement in RG, and 28.46%, 37.5%, 23.07% improvement in PTRR, when compared with QoE‐aware, randomized, FIFO algorithms, respectively.
Natural swietenine attenuates diabetic nephropathy by regulating the NF‐κB/NLRP3/Caspase‐1 signaling pathways: In vivo and in vitro study
Authors: Duan Jingyu , He Liangliang , Deng Wenhao , Lu Mengyuan , Zhai Yutong , Pei Feilong , Liu Shuang , Zhang Chunping 
Published: September 2022

AbstractSwietenine (Swi), isolated from Swietenia macrophylla King ameliorates inflammation and oxidative stress, and diabetic nephropathy has a close connection with them. So the effects of Swi on diabetic nephropathy and its mechanism of action was explored. We divided human mesangial cells into five groups and determined the expression of NF‐κB and NLRP3 inflammasomes in each group. The levels of inflammatory factors IL‐1β and IL‐18 were also measured. To explore the relationship between NF‐κB and NLRP3, we added PDTC, a specific NF‐κB inhibitor, and LPS, and divided the experimental groups into seven groups. We measured the expressions of NF‐κB and NLRP3, and then added MCC950, a specific inhibitor of NLRP3 and LPS, the expression of NLRP3, Caspase‐1, and IL‐1β and IL‐18 were measured. Animals divided into four groups and administered over 8 weeks. Protein excretion, creatinine, urea nitrogen, and uric acid were measured. Swi down regulated the expression of NF‐κB, NLRP3, and Caspase‐1. It reduced the levels of IL‐1β and IL‐18. PDTC decreased the expression of NF‐κB and NLRP3. Compared with the HG + PDTC group, the expression of NF‐κB and NLRP3 in the HG + Swi + PDTC group decreased significantly. After adding lipopolysaccharide, the expression of NF‐κB and NLRP3 increased, but this situation was reversed after adding Swi. After adding LPS, the expression of NLRP3 and Caspase‐1 increased, and the levels of IL‐1β and IL‐18 also increased, but this situation was reversed after the addition of Swi. Swi significantly improved the renal function of mice with diabetic nephropathy and inhibited the activation of NF‐κB and the NLRP3 inflammasome and reduced inflammation by regulating the NF‐κB/NLRP3/Caspase‐1 signaling pathway, thereby improving diabetic nephropathy.
Comparison and optimisation of screening cutoff values for Mycoplasma bovis antibody ELISAs using serum from youngstock
Authors: Bokma Jade , Stuyvaert Sabrina , Pardon Bart 
Published: September 2022

AbstractBackgroundMycoplasma bovis‐associated disease can cause tremendous production losses, welfare issues and high antimicrobial use. Therefore, screening cattle for M. bovis antibodies before entering the herd is a popular and possibly cost‐efficient way to reduce disease introduction. However, interpretation of results can be challenging due to variable accuracy between tests and populations. This study's objectives were to compare the diagnostic test accuracy of three commercially available M. bovis antibody ELISAs (ID‐screen, Bio K302 and Bio K432) and to explore optimal cutoff values for screening purposes.MethodsA prospective diagnostic test accuracy study was performed on 170 serum samples from youngstock using Bayesian latent class modelling. Samples were categorised using manufacturer and generated cutoff values.ResultsUsing the manufacturers' guidelines, ID‐screen, Bio K432 and Bio K302 showed 97.6%, 67.4% and 33.6% sensitivity, and 78.8%, 97.6% and 99.1% specificity, respectively. Optimised cutoffs resulted in 94.8%, 82.6% and 78.3% sensitivity, and 94.2%, 92.5% and 79.4% specificity, respectively.ConclusionsThe highest diagnostic accuracy for detecting M. bovis antibodies was obtained by ID‐screen (≥110%). However, by adjusting cutoff values, the sensitivity of Bio‐X tests could be markedly increased, making these tests also applicable as screening tools.LimitationsInterpretation needs to be careful as antibodies may be linked to both infectious and non‐infectious status.
Psychological and social well‐being of bony fishes in zoos and aquariums
Authors: Oldfield Ronald G. , Bonano Patrick E. 
Published: September 2022

AbstractResearch on the behavior of animals in zoos has been conducted for decades and observations have provided information that has improved the psychological and social well‐being of animals. However, research on fishes in zoos and aquariums seems to be lacking. Here we assess the current state of research on fishes in zoos and aquariums by surveying peer‐reviewed literature. Our assessment differs from previous surveys in that we examine the taxonomic classes Chondrichthyes (sharks and rays) and Osteichthyes (bony fishes) separately. Our survey finds that bony fishes have been drastically underrepresented in zoo journals, more so than chondrichthyans, revealing an urgent need for zoos and aquariums to conduct research on the behavior of the bony fishes in their care, to ensure a positive state of psychological and social well‐being. To plot a course for the future, we discuss the few studies that have been conducted on the behavior of bony fishes in zoos and aquariums, and we discuss research conducted on bony fishes in food‐fish aquaculture and biomedicine to identify the types of studies that could be conducted in zoos and aquariums. We conclude that data‐driven analyses of fish behavior could aid in development of evidence‐based practices that enhance the well‐being of bony fishes in zoos and aquariums, just as they already do for terrestrial animals.
Vorticity and Vortex Kinematics
Authors: Deville Michel O. 
Published: September 2022

AbstractThe concepts of vorticity and circulation are introduced. The three-dimensional governing equation for the vorticity is obtained. The generation of vorticity on the solid walls is analyzed in detail. For irrotational flows, the modeling rests upon Bernoulli equation. The flow behind a grid solved by Kovasznay provides a benchmark solution for numerical simulation. The chapter ends with the Taylor–Green vortex described by Clebsch potentials.
Plane Irrotational Flows of Perfect Fluid
Authors: Deville Michel O. 
Published: September 2022

AbstractThis chapter treats the theory of irrotational flows of perfect fluids by the use of complex variables. The theory is based on a complex velocity and the related concepts like circulation, flow rate, complex potential. Several simple examples are given. More elaborated is the flow around a circular cylinder with and without circulation . Using conformal mapping and especially the Joukowski transformation, it is possible to consider an aerodynamics application, namely the flow around an airfoil. Blasius theorem allows for the computation of the forces and moment generated by the flow around an immersed body. It is applied to the case of the cylinder and Joukowski profile.
Boundary Layer
Authors: Deville Michel O. 
Published: September 2022

AbstractThe Prandtl’s equations for laminar boundary layer are obtained via dimensional analysis. The case of the flat plate is treated as a suitable example for the development of the boundary layer on a simple geometry. Various thicknesses are introduced. The integration of Prandtl’s equation across the boundary layer produces the von Kármán integral equation which allows the elaboration of the approximate von Kármán-Pohlhausen method where the velocity profile is given as a polynomial. The use of a third degree polynomial for the flat plate demonstrates the feasibility of the approach.
Introducing the Diagrammatic Semiotic Mode
Authors: Hiippala Tuomo , Bateman John A. 
Published: September 2022

AbstractAs the use and diversity of diagrams across many disciplines grows, there is an increasing interest in the diagrams research community concerning how such diversity might be documented and explained. In this article, we argue that one way of achieving increased reliability, coverage, and utility for a general classification of diagrams is to draw on recently developed semiotic principles developed within the field of multimodality. To this end, we sketch out the internal details of what may tentatively be termed the diagrammatic semiotic mode. This provides a natural account of how diagrammatic representations organising lines of research integrate natural language, various forms of graphics, diagrammatic elements such as arrows, lines and other expressive resources into coherent organisations, while still respecting the crucial diagrammatic contributions of visual organisation. We illustrate the proposed approach using two recent diagram corpora and show how a multimodal approach supports the empirical analysis of diagrammatic representations, especially in identifying diagrammatic constituents and describing their interrelations in a manner that may be generalised across diagram types and be used to characterise distinct kinds of functionality.
How to Build and Convert Complex Propositions in the Marlo Diagram
Authors: López Aznar Marcos Bautista 
Published: September 2022

AbstractMarlo diagrams are a novel method of representing logical propositions that the author has used successfully with hundreds of high school students for instructional purposes. The examples of construction and conversion of complex diagrams that we offer in this work have a double objective: on the one hand, we hope that the reader becomes familiar with our notation, which, due to its novelty, is complex for those not initiated in our diagrams. On the other hand, we want to illustrate how our graphic conversions are articulated with those of natural language, always preserving the conclusions that follow from the premises.
Taming the Irrational Through Musical Diagrams – from Boethius to Oresme and Nemorarius
Authors: Muzzulini Daniel 
Published: September 2022

AbstractBoethius and his followers used diagrammatic methods to estimate musical intervals with epimoric ratios, they determined geometric number sequences with triangular tables, and they treated the converse problem of dividing musical intervals equally. The collection of mathematical manuscripts Codex Basel F II 33 (ca. 1360) contains treatises by Nicolaus Oresme, Jordanus Nemorarius and others. Images in Nemorarius’ treatise combine number triangles into complex spider webs and they display recursive algorithms. Oresme diagrams make use of irrational ratios. These little known images and their relationship to music theory are the focus of this paper.
Learning Flexible Translation Between Robot Actions and Language Descriptions
Authors: Özdemir Ozan , Kerzel Matthias , Weber Cornelius , Lee Jae Hee , Wermter Stefan 
Published: September 2022

AbstractHandling various robot action-language translation tasks flexibly is an essential requirement for natural interaction between a robot and a human. Previous approaches require change in the configuration of the model architecture per task during inference, which undermines the premise of multi-task learning. In this work, we propose the paired gated autoencoders (PGAE) for flexible translation between robot actions and language descriptions in a tabletop object manipulation scenario. We train our model in an end-to-end fashion by pairing each action with appropriate descriptions that contain a signal informing about the translation direction. During inference, our model can flexibly translate from action to language and vice versa according to the given language signal. Moreover, with the option to use a pretrained language model as the language encoder, our model has the potential to recognise unseen natural language input. Another capability of our model is that it can recognise and imitate actions of another agent by utilising robot demonstrations. The experiment results highlight the flexible bidirectional translation capabilities of our approach alongside with the ability to generalise to the actions of the opposite-sitting agent.
Business Process Simulation with Differentiated Resources: Does it Make a Difference?
Authors: López-Pintado Orlenys , Dumas Marlon 
Published: September 2022

AbstractBusiness process simulation is a versatile technique to predict the impact of one or more changes on the performance of a process. Mainstream approaches in this space suffer from various limitations, some stemming from the fact that they treat resources as undifferentiated entities grouped into resource pools. These approaches assume that all resources in a pool have the same performance and share the same availability calendars. Previous studies have acknowledged these assumptions, without quantifying their impact on simulation model accuracy. This paper addresses this gap in the context of simulation models automatically discovered from event logs. The paper proposes a simulation approach and a method for discovering simulation models, wherein each resource is treated as an individual entity, with its own performance and availability calendar. An evaluation shows that simulation models with differentiated resources more closely replicate the distributions of cycle times and the work rhythm in a process than models with undifferentiated resources.