bluuebunny/crossref_metadata_2025_split huggingface dataset:
Helicoverpa armigera preference and performance on three cultivars of short‐duration pigeonpea (Cajanus cajan): the importance of whole plant assays
Authors: Volp Trevor M. , Zalucki Myron P. , Furlong Michael J. 
Published: October 2022

AbstractBACKGROUNDHelicoverpa armigera is a major pest of pigeonpea (Cajanus cajan). Efforts to develop pigeonpea varieties resistant to H. armigera attack have been met with limited success, despite reports of high levels of resistance to H. armigera in wild relatives of pigeonpea and reports of low to moderate levels of resistance in cultivated varieties. Here we examined H. armigera oviposition preference and larval performance on whole plants of three cultivars of short‐duration pigeonpea: a susceptible control (ICPL 87) and two cultivars with purported host–plant resistance (ICPL 86012 and ICPL 88039).RESULTSIn our no‐choice oviposition experiment, H. armigera laid similar numbers of eggs on all three cultivars tested, but under choice conditions moths laid slightly more eggs on ICPL 88039. Larval growth and development were affected by cultivar, and larvae grew to the largest size (weight) and developed fastest on ICPL 86012. Moths laid most of their eggs on floral structures, sites where subsequent early instar larvae overwhelmingly fed. Experimentally placing neonate larvae at different locations on plants demonstrated that larvae placed on flowers experienced greater survival, faster development, and greater weight gain than those placed on leaves. The type and density of trichomes (a potential resistance trait) differed among cultivars and plant structures, but larvae selected to feed at sites where trichomes were absent.CONCLUSIONFuture work examining host–plant resistance against H. armigera should incorporate the behavioural preference of moths and larvae in experiments using whole plants as opposed to bioassays of excised plant parts in Petri dishes. © 2022 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Schisandra B, a representative lignan from Schisandra chinensis, improves cisplatin‐induced toxicity: An in vitro study
Authors: Hu Jun‐nan , Wang Yi‐ming , Zhang Hao , Li Hui‐ping , Wang Zi , Han Mei , Ren Shen , Tang Shan , Jiang Shuang , Li Wei 
Published: October 2022

AbstractSchisandrin B (Scheme B) is the most abundant and active lignan monomer isolated from Schisandra chinensis. At present, most reports focus on its cardioprotective and hepatoprotective effects, however, the related reports on gastrointestinal protective effects are still limited. The study aims to evaluate the protective effect of Scheme B on cisplatin‐induced rat intestinal crypt epithelial (IEC‐6) cell injury and the possible molecular mechanisms. The results showed that Scheme B at 2.5, 5 and 10 μM could inhibit dose‐dependently the reduction of cell activity induced by cisplatin exposure at 1 μM, decrease the levels of reactive oxygen species (ROS) and malondialdehyde (MDA), while increasing glutathione (GSH), superoxide dismutase (SOD) and catalase (CAT) to alleviate oxidative stress injury in IEC‐6 cell lines. Meanwhile, Scheme B could relieve cisplatin‐induced apoptosis by regulating PI3K/AKT and the downstream caspase signaling pathway. The results from flow cytometry analysis and mitochondrial membrane potential (MMP) staining also demonstrated the anti‐apoptosis effect of Scheme B. Furthermore, Scheme B was found to reduce the inflammation associated with cell damage by evaluating the protein expressions of the nuclear factor‐kappa B (NF‐κB) signaling pathway. Importantly, Wnt/β‐catenin, as a functional signaling pathway that drives intestinal self‐recovery, was also in part regulated by Scheme B. In conclusion, Scheme B might alleviate cisplatin‐induced IEC‐6 cell damage by inhibiting oxidative stress, apoptosis, inflammation, and repairing intestinal barrier function. The present research provides a strong evidence that Scheme B may be a useful modulator in cisplatin‐induced intestinal toxicity.
Patient selection for balloon pulmonary angioplasty: Six‐year results from a high volume PTE surgical center
Authors: Poch David S. , Mahmud Ehtisham , Patel Mitul , Papamatheakis Demosthenes , Fernandes Timothy , Kerr Kim , Yang Jenny , Pretorius Victor , Madani Michael M. , Kim Nick H. 
Published: October 2022

AbstractChronic thromboembolic pulmonary hypertension (CTEPH) is the result of incompletely resolved pulmonary emboli (PE) that lead to chronic right heart failure. The two mechanical treatment options are pulmonary thromboendarterectomy (PTE) and balloon pulmonary angioplasty (BPA). There are no formal criteria for BPA patient selection and treatment decisions vary according to a center's experience with BPA and PTE. We performed a retrospective review of consecutive patients treated with PTE and BPA at UCSD from March 2015 to 2021. Clinical and hemodynamic data were collected. Patients were categorized according to the rationale for BPA. One hundred fifty three patients underwent 643 BPA sessions, and 1104 patients underwent PTE. Patients selected for PTE had worse baseline hemodynamics with mean pulmonary artery pressure 41.1 ± 11.7 versus 34.6 ± 11.2 mmHg, p < 0.001. 59% of patients selected for BPA had surgically inaccessible disease, 21% had residual CTEPH after PTE, 10% had a discordance between disease burden and symptoms/hemodynamics, 7% had comorbidities that prevented PTE and 3% refused PTE surgery. 28% of patients who underwent PTE had exclusively level III or IV disease based on surgical specimen. There were no BPA procedure‐related mortalities and minor pulmonary vascular complication rates during BPA were 9.2%. The most common reason for BPA selection was surgically inaccessible disease followed by residual CTEPH after PTE. Almost one third of patients who underwent PTE had exclusively distal disease by surgical criteria and might have been directed to BPA at a less experienced surgical center.
Hydrogen storage in SiC, GeC, and SnC nanocones functionalized with nickel, Density Functional Theory—Study
Authors: Taha Hayam Osman , El Mahdy Atef M. , El Shemy Fatma El Sayed , Hassan Mohammed Mohammed 
Published: October 2022

AbstractHydrogen is regarded as one of the most potential sustainable energy sources in the future. Applications include transportation. Still, the event of materials for its storage is difficult notably as a fuel in vehicular transport. Nanocones are a promising hydrogen storage material. Silicon, germanium, and tin carbide nanocones have recently been proposed as promising hydrogen storage materials. In the present study, we have investigated the hydrogen storage capacity of and nanocones functionalized with Ni. The functionalized Ni atom are found to be adsorbed on and with an adsorption energy of −5.56, −6.70, and −4.25 eV. The functionalized , and bind up to seven, six and four molecules of hydrogen with the adsorption energy of (−0.34, −0.35, and −0.26 eV) and an average desorption temperature of around 434, 447, and 332 K (ideal for fuel cell applications). The SiC, GeC, and SnC nanocones systems exhibit a maximum gravimetric storage capacity of 12.51, 7.78, and 4.08 wt%. We suggested that NiSiCNC and NiGeCNC systems can act as potential H2 storage device materials because of their higher H2 uptake capacity as well as their stronger interaction with adsorbed hydrogen molecules than NiSnCNC systems. The hydrogen storage reactions are characterized in terms of the charge transfer, the partial density of states, the frontier orbital band gaps, and isosurface plots. And electrophilicity are calculated for the functionalized and hydrogenated and nanocones.
Relevance of social capital in preserving subjective well‐being in the face of the COVID‐19 pandemic
Authors: Sarmiento Prieto Juan Pablo , Castro‑Correa Carmen‑Paz , Arrieta Alejandro , Jerath Meenakshi , Arensburg Svenska 
Published: October 2022

AbstractThis paper analyzes the changes in subjective well‐being (SWB) in 11 Latin American cities at the end of the acceleration phase of the COVID‐19 pandemic, the variables that influenced these changes, and the role of the public support policies and the social capital on SWB recovery. This study, the second of a two‐phase research project, is a survey‐based comparative analysis. The 5604 survey responses obtained included 3279 observations from the research project's preceding phase, and 2325 observations conducted as part of the second project phase and current study. A multivariate linear regression model was used to evaluate the impact of the different variables related to COVID‐19 on people's SWB. Results show that the most significant positive impacts on SWB, are attributed to social capital, particularly family and social cohesion. The study confirms that the level of SWB is strongly associated with personality traits, health, and key variables such as age, marital status, and income. The different measures established to control the pandemic have not remedied the negative impacts of COVID‐19 on people's SWB. However, an increase in different degrees of SWB was observed in 10 out of the 11 cities between the initial survey and the follow‐up survey.
Tracking control and disturbance rejection for nonlinear switched control systems with saturation effects
Authors: Sakthivel Rathinasamy , Priyanka Sargunan , Kwon Oh‐Min , Mohanapriya Saminathan 
Published: October 2022

AbstractThis article focuses on the concerns of a tracking control and active disturbance rejection for nonlinear switched systems described by Takagi–Sugeno fuzzy framework with state‐dependent nonlinear perturbations, actuator saturations and disturbances. Especially, a nonlinear equivalent‐input‐disturbance technique is employed to guarantee that only the external disturbances are rejected while retaining the beneficial nonlinearity of the system. Notably, with the aid of the lifting technique, the modified repetitive control are accurately described by a continuous‐discrete two‐dimensional model is designed to improve the tracking precision. The fuzzy‐membership‐function‐dependent piecewise Lyapunov–Krasovskii functional (LKF) by exploiting the knowledge of the membership functions are built to assure the exponential stability of the investigated system. Moreover, the controller and observer gains can be obtained as solutions to a set of strict linear matrix inequalities. Finally, an application example based on the cognitive radio model is given to verify the efficacy of the proposed control protocol.
Enone as TFO Linker: Synthesis and Parallel DNA Triplex Stability Evaluation
Authors: Fatthalla Maha I. , Abd El Salam Hayam A. , Zayed Ehab M. , Ibrahim Mahmoud A. A. , Pedersen Erik B. 
Published: October 2022

AbstractTwo new intercalated nucleic acid monomers, X and Y, possessing enone as linker have been synthesized. The monomers were incorporated into 14‐mer polypyrimidine strand to act as triplex‐forming oligonucleotide (TFO). The thermal stabilities of the formed parallel triplexes, parallel and antiparallel duplexes were evaluated to show high stability of its parallel triplexes at pH 5.0 and pH 7.2, while limited stability at pH 6.0 compared to unmodified triplex. The architectures of enone linker are shown to disturb the planarity of its parallel and antiparallel duplexes and consequently the π‐π stacking ability with the neighboring nucleobases. The data was confirmed by molecular dynamics simulation and binding energy calculations. Characteristic fluorescence spectra were also investigated to show the ability of X and Y containing TFO to discriminate parallel triplex from parallel and antiparallel duplex.
Corrosion‐induced damages and failures of posttensioned bridges: A literature review
Authors: Menga Antonia , Kanstad Terje , Cantero Daniel , Bathen Lise , Hornbostel Karla , Klausen Anja 
Published: October 2022

AbstractCorrosion of posttensioned bridges raises great concern, since the only way to safely assess the condition of the tendons is through destructive evaluation. In this scenario, this paper presents the results of an extensive literature review on reported cases of corrosion of posttensioned bridges and few prestressed structures. The aim is to increase knowledge about the structural consequences of possible corrosion‐induced failure mechanisms. The cases were rated according to the increasing severity of the observed damage and consequent interventions as follows: ordinary maintenance is effective, extraordinary maintenance is necessary, and maintenance is insufficient or absent. It was found that most corrosion‐sensitive structures were segmental and box section beam bridges. Most cases required extraordinary maintenance. Warning signs were often observed. The damage was mainly ascribed to design and execution mistakes that facilitated the ingress of external chlorides causing corrosion. The paper concludes with a discussion of the consequences for structural safety.
The lead and copper rule: Limitations and lessons learned from Newark, New Jersey
Authors: Stratton Sean A. , Ettinger Adrienne S. , Doherty Cathleen L. , Buckley Brian T. 
Published: October 2022

AbstractFlint, Michigan reignited the public discourse surrounding lead contamination in drinking water with Newark, New Jersey recently experiencing its own lead‐in‐water crisis. Following Flint's experience, the Environmental Protection Agency proposed changes to the Lead and Copper Rule (LCR), but these changes may not produce better detection of contamination. LCR testing requirements were evaluated for their ability to predict or identify problems from the recent (2015–2019) Newark lead exceedance data. LCR compliance and water quality data were obtained from the New Jersey Department of Environmental Protection (NJDEP) website. Between 2002 and 2015, Newark sampled on a reduced sampling plan (50 samples once every 3 years), as required, for lead and copper. These samples were divided between Newark's two water sources with uneven sampling distribution across the city, further limiting the potential to identify a risk of lead in drinking water. Results suggest a more rigorous testing requirement may have identified the problem sooner. Limitations related to the LCR that prevented Newark water suppliers from earlier detection of lead risk will continue under the revised LCR.This article is categorized under:
Engineering Water > Water, Health, and Sanitation
Science of Water > Water Quality
Thinking outside of the lunchbox: A narrative policy framework analysis of school lunch policies
Authors: Inman Cassandra , Jones Michael 
Published: October 2022

AbstractThe National School Lunch Program (NSLP) is the second largest nutrition assistance program in the United States, subsidizing school day meals for nearly 30 million U.S. children, including over 287,000 in Oregon as of fiscal year 2019. A policy success story to some, the NSLP is not without critics or controversy. As discussions about childhood health and wellness have shifted toward food quality and equity, school lunch policy narratives have come under scrutiny. Leveraging participant observation, qualitative interviews, and survey data, this research explores Corvallis, Oregon school lunch policy, contrasting local and national policy perspectives. We draw on the Narrative Policy Framework and Cultural Theory (CT) to identify distinct food policy narratives among Corvallis stakeholders and across cultural groups. Our analysis found a predominantly egalitarian worldview among Corvallis stakeholders whose narratives feature children as victims, with community institutions and advocates in the roles of the heroes and/or villains. Sustainability and the value of market forces were identified as key themes in local and national school lunch narrative plots and morals.
Responsibility in Road Traffic
Authors: Hansson Sven Ove 
Published: October 2022

AbstractVision Zero requires a new approach to the responsibility for safety. This chapter provides conceptual tools for the description and analysis of this and other responsibility issues. Distinctions between different types of responsibility are introduced, with a particular emphasis on the distinction between blame responsibility and task responsibility. The complex relationship between responsibility and causality is also delineated. This is followed by an analysis of the changes in responsibility assignments that are necessary to implement Visio Zero.
Organizational Change for Equity & Inclusion
Authors: Bjørn Pernille , Menendez-Blanco Maria , Borsotti Valeria 
Published: October 2022

AbstractIn this chapter, we situate how the insights in equity and inclusion we have gained through the FemTech research can inform how organizations such as computer science departments or tech companies can step up and improve inclusivity. We cannot offer a complete set of guidelines, but we can propose agendas, questions, and considerations which hopefully can assist organizations in creating their own strategies for intervention.
Assessing Visual Identification Challenges for Unmarked and Similar Aircraft Components
Authors: Schoepflin Daniel , Gierecker Johann , Schüppstuhl Thorsten 
Published: October 2022

AbstractHighest demands for complete traceability and quality control of each component, require thorough identification of each produced, replaced, and (dis-)assembled aircraft component. As many production and MRO-processes for modern aircraft remain to be carried out manually, this poses a great challenge. Many small components either do not feature a Part Number or in MRO-processes their Part Number is occluded or not readable due to dirt and wear. Considering unmarked components with a high resemblance to one another and few characteristics, e.g. standard parts such as bushings and pipes, manual identification is an error-prone task. Avoiding errors through digitalized procedures has the potential to significantly reduce error rates and costs for a typical manual dual control. However, automated identification of components has to overcome the high classification complexity that originates in the manifold of aircraft components and is additionally increased by individualistic MRO modifications for specific aircraft. This work presents a methodological approach to reveal possible challenges for identification procedures and gives special focus to the assessment of similarities between components. Two similarity metrics are introduced that are calculated either through feature-based analysis or through 3D-shape similarity assessment. The methodology is demonstrated with two to this date unsolved Use-Cases that represent different challenges of visual identification systems for similar and unmarked components.
Projecting Product-Aware Cues as Assembly Intentions for Human-Robot Collaboration
Authors: David Joe , Coatanéa Eric , Lobov Andrei 
Published: October 2022

AbstractCollaborative environments between humans and robots are often characterized by simultaneous tasks carried out in close proximity. Recognizing robot intent in such circumstances can be crucial for operator safety and cannot be determined from robot motion alone. Projecting robot intentions on the product or the part the operator is collaborating on has the advantage that it is in the operator’s field of view and has the operator’s undivided attention. However, intention projection methods in literature use manual techniques for this purpose which can be prohibitively time consuming and unscalable to different part geometries. This problem is only more relevant in today’s manufacturing scenario that is characterized by part variety and volume. To this end, this study proposes (oriented) bounding boxes as a generalizable information construct for projecting assembly intentions that is capable of coping with different part geometries. The approach makes use of a digital thread framework for on-demand, run-time computation and retrieval of these bounding boxes from product CAD models and does so automatically without human intervention. A case-study with a real diesel engine assembly informs appreciable results and preliminary observations are discussed before presenting future directions for research.
Online Quality Inspection Approach for Submerged Arc Welding (SAW) by Utilizing IR-RGB Multimodal Monitoring and Deep Learning
Authors: Stavropoulos Panagiotis , Papacharalampopoulos Alexios , Sabatakakis Kyriakos 
Published: October 2022

AbstractOnline, Image-based monitoring of arc welding requires direct visual contact with the seam or the melt pool. During SAW, these regions are covered with flux, making it difficult to correlate temperature and spatial related features with the weld quality. In this study, by using a dual-camera setup, IR and RGB images depicting the irradiated flux during fillet welding of S335 structural steel beams are captured and utilized to develop a Deep Learning model capable of assessing the quality of the seam, according to four classes namely “no weld”, “good weld”, “porosity” and “undercut/overlap”, as they’ve emerged from visual offline inspection. The results proved that the camera-based monitoring could be a feasible online solution for defect classification in SAW with exceptional performance especially when a dual-modality setup is utilized. However, they’ve also pointed out that such a monitoring setup does not grand any real-world advantage when it comes to the classification of relatively large, defective seam regions.
Integration of Machining Process Digital Twin in Early Design Stages of a Portable Robotic Machining Cell
Authors: Stavropoulos Panagiotis , Manitaras Dimitris , Bikas Harry , Souflas Thanassis 
Published: October 2022

AbstractIndustrial robots have been getting a more important role in manufacturing processes during the last decades, due to the flexibility they can provide in terms of reachability, size of working envelope and workfloor footprint. An especially interesting application are material removal processes and specifically machining. Use of robots in machining has opened new pathways for the development of flexible, portable robotic cells for several use cases. However, the peculiarity of such cells compared to traditional machine tools calls for novel approaches in their design and dynamic analysis. To this end, this work proposes an approach that integrates the digital twin of the machining process to set the boundary conditions for the design and dynamic analysis of the robotic cell. Physics-based modelling of milling is coupled with a Multi-Body Simulation of the robotic arm to define the inputs for the design of the cell. The design and dynamic analysis of the robotic cell is performed in a commercial FEA package, taking into account the requirements of the machining process.
Diskussion
Authors: Lorenz Sandro 
Published: October 2022

ZusammenfassungWie im Rahmen der Ergebnisdarstellung gezeigt, liegen bei der Gesamtzufriedenheit der Patientinnen und Patienten hohe Zufriedenheitswerte mit der Prämedikationsleistung vor. Über 70 % sind insgesamt zufrieden und 68,4 % würden die Ambulanz sogar weiterempfehlen. In diesem Kontext sollte noch einmal betont werden, dass es sich um eine Prämedikationsambulanz an einem großen deutschen Universitätsklinikum und Maximalversorger handelt.
Ausblick
Authors: Lorenz Sandro 
Published: October 2022

ZusammenfassungDie Patientenzufriedenheit und die Prozessqualität in Bezug auf anästhesiologische Leistungen scheinen nach dieser Untersuchung akzeptabel bis gut zu sein. In Anbetracht der sich vollziehenden Strukturveränderungen und der Ressourcenknappheit im stationären Sektor stellt dies keine Selbstverständlichkeit dar.
Patientenzufriedenheit
Authors: Lorenz Sandro 
Published: October 2022

ZusammenfassungPatientenzufriedenheit ist in den letzten Jahren immer mehr in den Fokus der Forschung gerückt. War am Anfang der Entwicklung die Patientenzufriedenheit nur ein Surrogat-Parameter für ökonomische und Outcome-relevante Größen, ist sie heute Forschungsgegenstand und Prämisse ihrer selbst wegen. Neben einer qualitativ hochwertigen Therapie und Behandlung stellt sie ein Hauptziel der Leistungserbringer im deutschen Gesundheitssystem dar.