bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thermal post‐processing effects on the polycarbonate acrylonitrile butadiene styrene composites manufactured by fused filament fabrication
Authors: Pazhamannil Ribin Varghese , Namboodiri V. N. Jishnu , Hadidi Haitham M. , Edacherian Abhilash , Govindan P. 
Published: February 2023

AbstractThe mechanical properties of components manufactured by fused filament fabrication lack sufficient levels for industrial applications. The need for post‐processing is, therefore, necessary to enhance the interlayer strength and mechanical characteristics. In the present study, experimental analysis of the effects of annealing on polycarbonate acrylonitrile butadiene styrene manufactured by fused filament fabrication is explored. Annealing temperatures are selected in the range from 90 to 210°C based on differential scanning calorimetry analysis. The ultimate tensile strength improved by 20.39% from 32.39 to 38.99 MPa after the heat treatment at 180°C for 1‐h duration. Flexural strength showed a remarkable enhancement of 53.21% after annealing at 180°C for 2 h. The interlayer diffusion and bonding are boosted following heat treatment and microstructural imaging proved the same although the surface had flakes due to the high heat exposure. X‐ray diffraction testing of annealed models demonstrated a maximum crystallinity index of 32.56% when compared with nonannealed samples with 6.58%. The addition of polycarbonate to acrylonitrile butadiene styrene improves the stiffness and impact loading capacity with high heat resistance. The heat treatment process is capable of magnifying the mechanical characteristics of the end functional components, thereby opening up the scope for more engineering applications.
Nephrotoxicity assessment of Esculentoside A using human‐induced pluripotent stem cell‐derived organoids
Authors: Gu Shuyi , Wu Gaosong , Lu Dong , Meng Guofeng , Wang Yu , Tang Liming , Zhang Weidong 
Published: February 2023

AbstractDrug‐induced nephrotoxicity is a leading cause of acute kidney injury (AKI). A major obstacle in predicting AKI is the lack of a comprehensive experimental model that mimics stable and physiologically relevant kidney functions and accurately reflects the changes a drug induces. Organoids derived from human‐induced pluripotent stem cells (iPSCs) are promising models because of their reproducibility and similarity to the in vivo conditions. In this study, Esculentoside A, the triterpene saponin with the highest concentration isolated from the root of Phytolacca acinose Roxb., was used to induce kidney injury models in vivo and kidney organoids. Esculentoside A induced AKI in mice, together with pathological changes and enhanced apoptosis. Moreover, Esculentoside A damaged podocytes and proximal tubular endothelial cells in kidney organoids in a similar way as in vivo. We also found that treatment with 60 μM Esculentoside A induced the known biomarkers of kidney damage and inflammatory cytokines (such as kidney injury molecule (KIM‐1), β2‐microglobulin (β2‐M), and cystatin C (CysC)) in the organoids, in which activation of Cleaved Caspase‐3 was involved, possibly due to lowered mitochondrial membrane potential. In summary, this study strongly suggests using kidney organoids as a reliable platform to assess Chinese medicine‐induced nephrotoxicity.
Sliding mode based fault diagnosis with deep reinforcement learning add‐ons for intrinsically redundant manipulators
Authors: Sacchi Nikolas , Incremona Gian Paolo , Ferrara Antonella 
Published: February 2023

AbstractThis article presents a fault diagnosis control scheme for intrinsically redundant robot manipulators based on the combination of a deep reinforcement learning (DRL) approach and a battery of sliding mode observers. The DRL plays the role of detecting and isolating possible sensor faults, thus generating an alarm and pin‐pointing the source. This in turn allows to compensate the sensor faults independently from the actuator ones. The latter are therefore detected and isolated by a set of sliding mode observers driven by input laws designed according to an optimal reaching algorithm. In order to design and apply such observers, a global feedback linearization is performed, which transforms the multi‐input‐multi‐output (MIMO) nonlinear robot model into a chain of double integrators. The proposal is analyzed and assessed in realistic conditions using the PyBullet environment in which a 7 degrees‐of‐freedom (DOFs) Franka Emika Panda robot manipulator is reproduced.
Using Small Branches of Bombax ceiba Instead of Stem Bark for a Conservative Sourcing Approach: Comparative Studies of Chemical Profiling by LC‐MS, GC‐MS, and HPLC
Authors: Kumar Meena Ajay , Ilavarasan Raju , Ojha Vikas , Perumal Ayyam , Singh Ravindra , Srikanth Narayanam , Singh Dhiman Kartar 
Published: February 2023

AbstractThe purpose of the current study piece is to use short branches rather than stem bark to take a conservative approach to the Bombax ceiba plant. Similarities were found in the HPLC, LCMS, and GCMS data of the plant‘s stem bark and tiny branches. Analysis using liquid chromatography‐mass spectrometry (LC‐MS) of abundant medicinal phytochemicals of Bombax ceiba and its Molecular Docking Interaction with AKT Protein Kinase, Human Acetyl Choline Esterase, and Pancreatic Lipase Colipase Target Protein. According to the HPLC study results, Bombax ceiba stem bark contains 0.359 % lupeol, whereas tiny branches have 0.039 %. Three compounds have good binding energy (Kcal/mol) with Human acetyl choline esterase, while seven compounds have very good binding energy (Kcal/mol) with AKT Protein kinase and Pancreatic Lipase Colipase. Small branches are essentially identical to stem bark in terms of their chemical composition that makes them active against certain target proteins.
External Field‐induced Transitions in Quantum Dot: Role of Noise‐anharmonicity Interplay
Authors: Datta Swarnab , Arif Sk. Md. , Roy Debi , Ghosh Manas 
Published: February 2023

AbstractThis work scrutinizes thetime‐average excitation rate(TAER) among theGaAs quantum dot(QD) eigenstates under the aegis ofGaussian white noise(GWN) and theparityof theanharmonic potential(odd/even). GWN connects with the system byadditiveormultiplicativemode. The said excitation of the ground state population has been triggered by an external field which may be apolychromatic radiation field(PRF), orpulsed field(PF) orchirped pulsed field(CPF). The study reveals the subtle nuances of the interplay between noise (additive or multiplicative), anharmonicity (odd or even) and the external field (PRF, PF or CPF) that finally govern the attributes of the TAER diagrams. The TAER profiles exhibit persistent growth, persistent decline, maximization (important in view of production of prominentnonlinear optical properties), minimization and saturation (relevant tothe dynamic freezing). The findings appear useful for regulating the TAER among theGaAsQD eigenstates which have substantial technological relevance.
Population Transfer Among the Quantum Dot Eigenstates Driven by Time‐dependent Anharmonic Potential: Role of Noise
Authors: Datta Swarnab , Arif Sk. Md. , Roy Debi , Ghosh Manas 
Published: February 2023

AbstractThe study meticulously inspects thetime‐average excitation rate (TAER)of lowest energy state electronic probability ofGaAs quantum dot (QD)to the higher energy states. The excitation occurs as theanharmonic potential(a part of QD confinement) starts varying with time eitherperiodicallyorrandomly. The anharmonic potential is characterized by eitherevenoroddparity.Gaussian white noise (GWN)has also been introduced to the QD either viaadditiveormultiplicativemode. The study announces that the coupled impact of the given physical quantity, the symmetry of the anharmonicity, presence/absence of noise, the route of entrance of noise, and the nature of time progress of anharmonicity constant, ultimately regulates and fine‐tunes the attributes of the TAER diagrams. The TAER diagrams comprise of regular rise, regular fall, maximization (pertinent to production of high value ofnonlinear optical (NLO) properties), minimization and saturation (pertinent todynamic freezing). The outcomes of the study seem to be recognizable in various applications of devices containing QD.
Ultra‐Fast Benzene Gas (C6H6) Detection Characteristics of Cobalt‐Doped Aluminum Oxide Sensors
Authors: Venkatraman Manikandan , Kadian Ankit , Choudhary Siddharth , Subramanian Annapoorni , Singh Ajeet , Sikarwar Samiksha 
Published: February 2023

AbstractIn this study, undoped and Cobalt‐doped Al2O3 were synthesized though a precipitation method followed by microwave irradiation for benzene gas sensing studies. The Co‐doped Al2O3 nanoparticles are offering lattice disorder that facilitate imperfection/defects. An XPS survey scan has been used to confirm the presence of the relevant elements and to calculate their amounts, respectively. Moreover, the doped nanoparticles face shape and size revision which warrants the device application. After characterization, the samples were used for fabrication of gas sensors. Benzene gas sensing studies revealed that the sensor with higher amount of Co‐doping had a high response to this gas. The optimized gas sensor showed a fast response time of 1.5 s and a recovery time of 2 s. The doped sensor has effectively sensed the lower concentration of 5 ppm gas. Sensor surface is readily active for grabbing oxygen from air and then release electrons at very fast in‐contact of benzene. Furthermore, it showed high stability and good selectivity. Improved performance for the optimized gas sensor was related to decrease of particle size as a result of doping, generation of oxygen vacancies due to the presence of Co‐dopant and also catalytic activity of Co. The ageing‐test of the sensor had reproduced the ∼98 % results which affirms the long‐term stability. The result of this study can be used for further exploration of role of Co in the gas response of different sensing materials.
Europium (III) Incorporated Bovine Serum Albumin Stabilized Gold Nanoclusters as Fluorescent Probes for the Detection of Sarcosine, a Prostate Cancer Biomarker
Authors: Sanjeevan Lekshmi Ragini , Kodinattumkunnel Abraham Merin , Madanan Anju Saralammma , Omana Aswathy Ashokan , Varghese Susan , Nettaichuvilakom Subha Vijila , Ibrahim Shkhair Ali , George Sony 
Published: February 2023

AbstractA new fluorescent probe based on Eu (III) incorporated BSA‐AuNCs is developed for the selective sensing of sarcosine. Sarcosine is a simple non‐proteinogenic amino acid which is a clinical biomarker for prostate cancer. The non‐invasive sensing of a metabolite biomarker sarcosine for prostate cancer from urine sample was achieved through the developed Eu (III) incorporated BSA‐AuNCs probe. The developed sensor exhibited a good sensitivity and selectivity towards the metabolite sarcosine and observed no significant interference with other coexisting metabolites present in urine. The probe shows a very lower Limit of detection (LOD) of 0.177 mM and this probe can be developed for determining sarcosine on clinical basis. Considering its predominance and the pain associated invasive prostate cancer clinical examinations for the diagnosis, a non‐invasive diagnosis is of great need and significance.
TPP‐NBS Induced [3+3] Cascade Annulation of Propargylic Alcohols and 1,3‐Bis Nucleophiles: Access to Chromenopyridines, 1,2‐Dihydropyridines**
Authors: Medishetti Nagaraju , Banda Bhanu Prasad , Nanubolu Jagadeesh Babu , Atmakur Krishnaiah 
Published: February 2023

AbstractSynthesis of title products were accomplished in a [3+3] annulation of propargylic alcohols and 1,3‐bis nucleophiles. The approach presented herein involves,in situgeneration of bromophosphoniumion by the reaction of TPP‐NBS and its reaction with propargylic alcohols resulting in alkoxyphosphoniumion. This, further reacts with 1,3‐bis nucleophiles leading to desired products and liberating HBr. Notably, the liberated HBr found to be involved in driving the reaction to completion. This is the first report with alkoxyphosphoniumion engendered synthesis with the mediation of HBr.
Embodying a praxis of care: The urgency of carework in supporting student activists
Authors: Na Vanessa S. , Hyun White Hannah , Hui Elirissa Pui‐Kei , Cho Katherine S. 
Published: February 2023

AbstractInstitutional response to #BlackLivesMatter and anti‐Asian hate are shaped by crisis response with strategic plans, rather than structural change and investment in care networks. In this article, we offer our personal narratives to illustrate the possibilities of embodying carework to support student activists and illuminate how we collectively survive.
Lipopolysaccharide exacerbates to the migration, invasion, and epithelial‐mesenchymal transition of esophageal cancer cells by TLR4/NF‐κB axis
Authors: Peng Zhenyan , Wan Ping , Deng Yali , Shen Weitao , Liu Ran 
Published: February 2023

AbstractPrevious studies have shown the role of bacterial lipopolysaccharide (LPS) in promoting tumor progression. Our previous study found that the community richness of LPS‐producing bacteria was significantly increased in the fresh stool samples of esophageal cancer (EC) patients, but the relative LPS levels and underlying mechanism in EC progression remain unknown. In this study, an case‐control study found that the content of LPS was higher in serum of EC patients. Functional experiments of CCK8 assay and transwell assay showed that LPS contributed to the proliferation, migration, invasion of EC109 cells. Meanwhile, LPS induced EC109 to secrete IL‐6 and TGF‐β1. Western blot analysis revealed the level of TLR4 and NF‐κB increased significantly after LPS treatment. Epithelial marker E‐cadherin was significantly down‐regulated and interstitial marker N‐cadherin and Vimentin were up‐regulated after LPS treatment. However, TAK242 (TLR4 inhibitor) or PDTC (NF‐κB inhibitor) could eliminate the inflammatory and EMT—promoting effects of LPS. In total, our results suggested that LPS exacerbated to the migration, invasion, and epithelial‐mesenchymal transition of EC109 cells by TLR4/NF‐κB axis. High level LPS may have a critical effect on the occurrence and development of EC.
UniversalQM/MMapproaches for general nanoscale applications
Authors: Csizi Katja‐Sophia , Reiher Markus 
Published: February 2023

AbstractQuantum mechanics/molecular mechanics (QM/MM) hybrid models allow one to address chemical phenomena in complex molecular environments. Whereas this modeling approach can cope with a large system size at moderate computational costs, the models are often tedious to construct and require manual preprocessing and expertise. As a result, transferability to new application areas can be limited and the many parameters are not easy to adjust to reference data that are typically scarce. Therefore, it is desirable to devise automated procedures of controllable accuracy, which enables such modeling in a standardized and black‐box‐type manner. Although diverse best‐practice protocols have been set up for the construction of individual components of a QM/MM model (e.g., the MM potential, the type of embedding, the choice of the QM region), automated procedures that reconcile all steps of the QM/MM model construction are still rare. Here, we review the state of the art of QM/MM modeling with a focus on automation. We elaborate on MM model parametrization, on atom‐economical physically‐motivated QM region selection, and on embedding schemes that incorporate mutual polarization as critical components of the QM/MM model. In view of the broad scope of the field, we mostly restrict the discussion to methodologies that buildde novomodels based on first‐principles data, on uncertainty quantification, and on error mitigation with a high potential for automation. Ultimately, it is desirable to be able to set up reliable QM/MM models in a fast and efficient automated way without being constrained by specific chemical or technical limitations.This article is categorized under:Electronic Structure Theory > Combined QM/MM Methods
Cognitive Robotics - Towards the Development of Next-Generation Robotics and Intelligent Systems
Authors: Zouganeli Evi , Lentzas Athanasios 
Published: February 2023

AbstractIn this paper we make the case for cognitive robotics, that we consider a prerequisite for next generation systems. We give a brief account of current cognition-enabled systems, and viable cognitive architectures, discuss system requirements that are currently not sufficiently addressed, and put forward our position and hypotheses for the development of next-generation, AI-enabled robotics and intelligent systems.
Improving the Usability of Tabular Data Through Data Annotation, Repair and Augmentation
Authors: Abida Rabeb , Cleve Anthony 
Published: February 2023

AbstractIn recent years, a rapidly increasing amount of information has been made publicly available in tabular form on the Web. Many of these data are not usable due to their poor quality (e.g., misspelled or missing values, missing or incomplete metadata, and missing meaningful columns). Solutions have been proposed in the literature to address these data quality issues, but there is still a lack of all-in-one approaches that can fully solve them. Therefore, users need to use several methods to solve these data quality issues. In this paper, we present an all-in-one and automatic approach called SINATRA that helps to bridge this gaps by providing the following features: data annotation (to address misspelled and incomplete metadata issues), data repair (to address missing values (data) issues), and data augmentation (to dynamically add meaningful columns and corresponding cell values to the dataset). An evaluation of the SINATRA approach based on datasets from a state-of-the-art benchmark shows promising results in terms of F1-measure and precision.
Detecting Human Embryo Cleavage Stages Using YOLO V5 Object Detection Algorithm
Authors: Sharma Akriti , Stensen Mette H. , Delbarre Erwan , Siddiqui Momin , Haugen Trine B. , Riegler Michael A. , Hammer Hugo L. 
Published: February 2023

AbstractAssisted reproductive technology (ART) refers to treatments of infertility which include the handling of eggs, sperm and embryos. The success of ART procedures depends on several factors, including the quality of the embryo transferred to the woman. The assessment of embryos is mostly based on the morphokinetic parameters of their development, which include the number of cells at a given time point indicating the cell stage and the duration of each cell stage. In many clinics, time-lapse imaging systems are used for continuous visual inspection of the embryo development. However, the analysis of time-lapse data still requires the evaluation, by embryologists, of the morphokinetic parameters and cleavage patterns, making the assessment subjective. Recently the application of object detection in the field of medical imaging enabled the accurate detection of lesion or object of interest. Motivated by this research direction, we proposed a methodology to detect and track cells present inside embryos in time-lapse image series. The methodology employed an object detection technique called YOLO v5 and annotated the start of observed cell stages based on the cell count. Our approach could identify cell division to detect cell cleavage or start of next cell stage accurately up to the 5-cell stage. The methodology also highlighted instances of embryos development with abnormal cell cleavage patterns. On an average the methodology used 8 s to annotate a video frame (20 frames per second), which will not pose any delay for the embryologists while assessing embryo quality. The results were validated by embryologists, and they considered the methodology as a useful tool for their clinical practice.
Non-Lorentzian theories with and without constraints
Authors: Bergshoeff Eric A. , Gomis Joaquim , Kleinschmidt Axel 
Published: February 2023

AbstractWe exhibit a new method of constructing non-Lorentzian models by applying a method we refer to as starting from a so-called seed Lagrangian. This method typically produces additional constraints in the system that can drastically alter the physical content of the model. We demonstrate our method for particles, scalars and vector fields.
Methodology of the Sixth German Oral Health Study (DMS 6) to survey tooth and jaw misalignment
Authors: Jordan Andreas Rainer , Kuhr Kathrin , Ohm Cristiana , Frenzel Baudisch Nicolas 
Published: February 2023

Abstract
Purpose
The aim of this study was (1) to complete and update the oral-epidemiological data situation in Germany (descriptive epidemiology) and (2) to determine the need for orthodontic treatment provision based on the epidemiological data situation (health care epidemiology in the form of demand research).

Methods
For this purpose, a longitudinal oral-epidemiological study and social science survey with a primary focus on tooth and jaw misalignment was conducted at a nationally representative level on 705 8‑ and 9‑year-old children across Germany.

Results
The methodological principles of the oral-epidemiological study are described, with a focus on the calibration and reliability assessment results from the study dentists, sample weighting, a survey of nonrespondents to estimate the extent of the external validity of the study results, a description of the study participants, and realized cases, as well as information pertaining to the response rate and utilization.

Conclusion
Based on the conducted analyses, it can be assumed that the examined 8‑ and 9‑year-old study participants are representative of the statistical population in Germany.
An Effective Criterion for Finite Monodromy of ℓ-Adic Sheaves
Authors: Rojas-León Antonio 
Published: February 2023

AbstractWe provide an effective version of Katz’ criterion for finiteness of the monodromy group of a lisse, pure of weight zero, ℓ-adic sheaf on a normal variety over a finite field, depending on the numerical complexity of the sheaf.
Could timber winching operations be cleaner? An evaluation of two options in terms of residual stand damage, soil disturbance and operational efficiency
Authors: Borz Stelian Alexandru , Crăciun Bianca Costina , Marcu Marina Viorela , Iordache Eugen , Proto Andrea Rosario 
Published: February 2023

AbstractForests provide multiple services, products and values and finding ways to preserve their multifunctionality is important. However, all of the currently used harvesting systems produce some degree of environmental damage, potentially affecting the provision services on the long term. Skidding operations are common in many regions of the world. Skidding may suppose three operational steps: winching, strip-road skidding and landing operations. By using cables for winching, wounds are commonly inflicted to the residual trees, while the mechanical traction of logs may cause damage to the residual trees and soil. This study was designed to check if the use of pans during winching deployed in thinning operations of coniferous forests may help lowering the environmental impact in terms of damage to residual trees and soil, while accounting for operational efficiency of such operations. Four treatments were considered and framed around the winching direction (uphill, downhill) and the use of protective devices (use, nonuse) and detailed data was collected on the residual stand damage, soil damage and time consumption. The main finding was that uphill winching by the use of a pan performed the best in terms of lowering the environmental damage. It shown the smallest wounds by their average area per tree, the lowest number of wounds per tree, the lowest rate of wounding per hectare, as well as one of the lowest rates of soil damage. By excluding delays, working with a pan did not cause additional time consumption, supporting acceptable rates of operational efficiency. Further experiments would be needed to validate and extend the results of this study, as the forests and their type of management are heterogeneous systems in terms of terrain configuration and slope, soil, species, stand density, removal intensity, operational timing and operational conditions.