bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation and prediction of mechanical properties of hot water treated jute/poly(lactic acid) composite laminates using response surface methodology and genetic algorithm
Authors: Zhang Weixing , He Chunxia 
Published: June 2022

AbstractThe main objective of this work was to estimate the usefulness of response surface methodology (RSM) and genetic algorithm (GA) in modeling and predicting the strength of jute/poly(lactic acid) (PLA) composite laminates. Firstly, the impact of the hot water treatment on the thermal, molecular structure, and morphological characterizations as well as kinetic analysis of jute fibers were performed by Thermogravimetric analysis (TGA), Fourier transform infrared spectroscopy (FTIR), Scanning electron microscopy (SEM). The FTIR results showed that the hot water treatments reduced the content of lignin, hemicellulose, and impurities of the fibers. Hot water treated fibers exhibited higher thermal stabilities compared with untreated fibers as shown with TGA results. The SEM results showed effect contact surface area improved after the hot water treatment, leading to better mechanical properties of bio‐composites. Secondly, the influences of the ply orientation, plies and fiber content on the tensile strength and flexural strength of the hot water treated fibers composites were evaluated by RSM. RSM with the Box Behnken Design was utilized to establish the quadratic models of two objectives in response to input parameters. Analysis of variance (ANOVA) was used to determine percentage contribution of various parameters on two quality objectives. According to the ANOVA results, ply orientation had the most important impact on tensile strength while the ply orientation‐fiber content interaction had the most important impact on flexural strength. Finally, multi‐objective optimization was carried out to maximize tensile strength and flexural strength using the desirability function and GA. The optimized results both showed an acceptable relative error between experimental and optimized values.
Investigation of chemical degradation and water states in the graft‐type polymer electrolyte membranes
Authors: Hieu Dinh Tran Trong , Hao Lam Hoang , Long Tran Hoang , Van Tien Vo , Cuong Nguyen Tien , Van Man Tran , Loan Truong Thi Hong , Tap Tran Duy 
Published: June 2022

AbstractChemical degradation in the presence of H2O2 aqueous solution and water states of poly(styrene sulfonic acid) (PSSA) grafted poly(ethylene‐co‐tetrafluoroethylene) polymer electrolyte membranes (ETFE‐PEMs) with grafting degree (GD) of 8.8%–21.1% are investigated using Fourier‐transform infrared spectroscopy (FT‐IR), thermogravimetric analysis (TGA), and electrochemical impedance spectroscopy (EIS). The ETFE‐PEMs show the complete detachment at the α‐hydrogen atoms of the whole graft PSSA chains from the ETFE backbones, while their precursor polystyrene‐grafted ETFE films do not. This chemical degradation exhibits independently with GDs and takes place even at very low GD (<10%). Water molecules of the membranes dried at 40°C are not completely de‐absorbed. The remains are partial non‐bonded water molecules, which are assumed to locate within the lamellar amorphous domains (constrained water molecules) of the crystalline phases. These constrained water molecules exist independently with the PSSA groups and do not detach together with them during the degradation. Note that the water molecules remained at 40°C show the additional contribution of 18%–19% to the total water uptake but do not contribute clearly to the conductance.
Dynamic matching—Revisiting the Carpenter model
Authors: Pandey Priyanka , Keshavamurthy Srihari 
Published: June 2022

AbstractThe phenomenon of dynamic matching was proposed by Carpenter nearly four decades ago. In this work, we perform detailed dynamical studies of the original model studied by Carpenter. Existence of competing mechanisms that influence the extent of dynamic matching with varying depth of the caldera well, as noted by Carpenter, is confirmed. A phase space dynamical viewpoint is provided for the origin of the competing mechanisms. Our results show that the extent of dynamic matching is significantly influenced by the amount of excess energy above the transition state that controls the entrance into the caldera region. Moreover, we find that dynamic matching can persist for fairly deep caldera wells. Quantum dynamical studies are performed to assess the extent of classical‐quantum correspondence in the system and the robustness of the dynamic matching mechanism.
Treatment and outcome of a patient with pleural unilocular cystic mesothelial proliferation
Authors: Zhang Guoliang , Wang Rui , Qiao Xueying , Li Jing 
Published: June 2022

AbstractPleural cystic mesothelial proliferation is an extremely uncommon disease arising in the mediastinal pleura. Usually, the cysts are incidentally found and preoperative diagnosis is difficult due to their atypical appearance. To date, only seven cases of pleural mesothelial proliferation have been reported, and only one patient with unilocular has been reported. Here, we report a case of a 55‐year‐old woman with a mediastinal pleural unilocular cystic mesothelial proliferation that was completely resected by video‐assisted thoracoscopic surgery. After 2 years of follow‐up, the patient had no evidence of recurrence. In conclusion, our case report may contribute to the understanding of pleural unilocular cystic mesothelial proliferation.
Assessment of upbasin dam impacts on streamflow at Chiang Saen gauging station during the period 1960–2020 in the context of statistical studies
Authors: Nguyen Tien Giang , Nguyen Huu Duy , Hoang Thu Thao , Pham Duy Huy Binh , Tran Ngoc Anh , Dang Dinh Kha , Nguyen Huy Phuong 
Published: June 2022

AbstractThe Langcang‐Mekong River Basin is the most important transboundary river basin in Asia. However, over the recent decades, dam construction has had increasingly profound effects on hydrological processes and aquatic, particularly riparian, ecosystems. Understanding these impacts is critical for the foundation of sustainable runoff surface management. In this study, different methods, based on both graphical and statistical techniques, were applied to assess the effects of the dams on annual, seasonal and monthly runoff and to detect hydroclimatic trends in the Upper Mekong Basin during the period 1960–2020. The results reveal two change points with respect to seasonal and annual flow regimes; that is, 2003 for the flood season and annual flows and 2013 for the dry season flow. The duration of the flood season and the volume of annual discharges have both significantly decreased since 2003 and the dry season discharge has significantly increased since 2013 (with both p‐values <.05). The quantitative assessment suggests that, due to the effect of dams, the monthly discharges increased by 10–450 m3/s during the dry season (December–May), while the flood season's monthly flows decreased significantly, by 1,028–2,150 m3/s, from July to October at Chiang Saen station. The study of hydrological changes in the Mekong watershed is expected to be a significant contribution towards a better understanding of large watersheds in which the hydrological effects are influenced not only by climate change at large spatial and temporal scales but also by changes in the physical environment due to the construction of dams.
Self‐Powered Non‐Contact Motion Vector Sensor for Multifunctional Human–Machine Interface
Authors: Cao Jie , Fu Xianpeng , Zhu Hao , Qu Zhaoqi , Qi Youchao , Zhang Zhi , Zhang Zhongqiang , Cheng Guanggui , Zhang Chi , Ding Jianning 
Published: June 2022

AbstractSensors as the significant units of the Internet of Things play an important role in the field of information interaction. Non‐contact sensors have the advantages of flexible manipulation and a longer lifespan but it is constrained in motion detection due to their relative single detection function. Herein, a self‐powered non‐contact motion vector sensor (NMVS) for the multifunctional human–machine interface is reported. Based on the electrostatic induction effect, the motion vector is measured according to the output electrical signals from the non‐contact triboelectric nanogenerator (NC‐TENG). By simulation analysis and experimental validation, the output characteristics of NC‐TENG dependence on structural and motion parameters are investigated in detail. On this basis, the resolution of NMVS is improved and exhibits for non‐contact micro‐vibration monitoring, rehabilitation gait detection, contactless smart lock, and the non‐contact limit alarm. This work not only proposes an ingenious strategy for non‐contact motion vector detection but also demonstrates the promising prospects of a multifunctional human–machine interface in intelligent electronics, health rehabilitation, and industrial inspection.
Praxisgerechte Gestaltung von Diagonalrohr‐Anschlüssen im Stahl‐ und Verbundbrückenbau
Authors: Kuhlmann Ulrike , Gölz Lisa‐Marie 
Published: June 2022

AbstractIm Stahl‐ und Verbundbrückenbau steht der Anschluss von außen‐ oder innenliegenden Diagonalen mittels eingestecktem Knotenblech wegen der Ermüdungsbeanspruchbarkeit in der Diskussion. Derzeit kommen verschiedene Ausführungsvarianten zum Einsatz, die grundlegend unterschiedliche Kerben aufweisen und nicht durch DIN EN 1993‐1‐9 bzw. DIN EN 1993‐2 oder Nationalen Anhang geregelt sind. Ziel des DASt‐AiF‐Forschungsvorhabens 20452 „Praxisgerechte Gestaltung von Diagonalrohr‐Anschlüssen im Stahl‐ und Verbundbrückenbau“ war die Entwicklung allgemeingültiger Regelungen, um einen wirtschaftlicheren und abgesicherten Ansatz für die Bemessung und Ausführung von Stahl‐ und Verbundbrücken zu ermöglichen. Dazu wurden innerhalb des Vorhabens experimentelle Untersuchungen an drei unterschiedlichen Ausführungsvarianten von Diagonalrohr‐Anschlüssen mittels eingestecktem Knotenblech durchgeführt, um die charakteristische Ermüdungsfestigkeit zu ermitteln, die als Grundlage für den Normvorschlag in prEN 1993‐1‐9 dient. Weitere geometrische Parameter wurden in numerischen Untersuchungen herausgearbeitet und fließen u. a. in die Ausführungs‐ und Bemessungsempfehlungen des Bundes (RE‐ING bzw. BEM‐ING) ein.
Triaxial compression test study on the influence of single crack on the mechanical properties of reactive powder concrete
Authors: Wang Zhe , Feng Mingyu , Zhang Yanbin 
Published: June 2022

AbstractTo investigate the influence of crack‐type defect and confining pressure on the mechanical properties of brittle materials, conventional triaxial compression tests were conducted on five types of prismatic samples with the same size of 41 mm × 70.7 mm × 175 mm at six confining pressures of 0, 5, 10, 20, 40, and 70 MPa, respectively. Among the five types of samples, one is intact, with uniaxial compressive strength of 140 MPa, and the other four are all defective and contain a single prefabricated crack with the length of 10 mm and the inclination angles of 0°, 30°, 60°, and 90°, respectively. All samples are made of reactive powder concrete with the same mix proportion. According to the test results, the following conclusions are obtained. (1) For any kind of defective sample and any confining pressure, relative values of the strength deviation that the defective samples deviating from the intact sample are all less than relative values of the strength range (max–min) of the five samples. (2) There exist two critical values p1 and p2 of the confining pressure p, the inclination angle of the prefabricated crack has significantly different impact on the compressive strength in the interval of 0 ≤ p < p1, p1 ≤ p < p2, and p ≥ p2, respectively.
Data mining in predictive maintenance systems: A taxonomy and systematic review
Authors: Esteban Aurora , Zafra Amelia , Ventura Sebastián 
Published: June 2022

AbstractPredictive maintenance is a field of study whose main objective is to optimize the timing and type of maintenance to perform on various industrial systems. This aim involves maximizing the availability time of the monitored system and minimizing the number of resources used in maintenance. Predictive maintenance is currently undergoing a revolution thanks to advances in industrial systems monitoring within the Industry 4.0 paradigm. Likewise, advances in artificial intelligence and data mining allow the processing of a great amount of data to provide more accurate and advanced predictive models. In this context, many actors have become interested in predictive maintenance research, becoming one of the most active areas of research in computing, where academia and industry converge. The objective of this paper is to conduct a systematic literature review that provides an overview of the current state of research concerning predictive maintenance from a data mining perspective. The review presents a first taxonomy that implies different phases considered in any data mining process to solve a predictive maintenance problem, relating the predictive maintenance tasks with the main data mining tasks to solve them. Finally, the paper presents significant challenges and future research directions in terms of the potential of data mining applied to predictive maintenance.This article is categorized under:
Application Areas > Industry Specific Applications
Technologies > Internet of Things
Rethinking nanoparticulate polymer–drug conjugates for cancer theranostics
Authors: Wang Yaoqi , Xia Heming , Chen Binlong , Wang Yiguang 
Published: June 2022

AbstractPolymer–drug conjugates (PDCs) fabricated as nanoparticles have hogged the limelight in cancer theranostics in the past decade. Many researchers have devoted to developing novel and efficient polymeric drug delivery system since the first generation of poly(N‐[2‐hydroxypropyl]methacrylamide) copolymer–drug conjugates. However, none of them has been approved for chemotherapy in clinic. An ideal PDC nanoparticle for cancer theranostics should possess several properties, including prolonged circulation in blood, sufficient accumulation and internalization in tumors, and efficient drug release in target sites. To achieve these goals, it is important to rationally design the nanoparticulate PDCs based on circulation, accumulation, penetration, internalization, and drug release (CAPIR) cascade. Specifically, CAPIR cascades are divided into five steps: (1) circulation in the vascular compartment without burst release, (2) accumulation in tumors via enhanced permeability and retention effect, (3) subsequent penetration into the deep regions of tumors, (4) internalization into tumor cells, and (5) release of drugs as free molecules to exert their pharmacological effects. In this review, we focus on the development and novel approaches of nanoparticulate PDCs based on CAPIR cascade, and provide an outlook on future clinical application.This article is categorized under:
Therapeutic Approaches and Drug Discovery > Nanomedicine for Oncologic Disease
Admission and Discharge Planning
Authors: Feijo Isabelle , Hoare Steve , Sarmiento Karen 
Published: June 2022

AbstractIt is essential that staff of an adolescent inpatient psychiatry unit have the capacity and authority to ensure parents and treating community clinicians support the admission, families participate in the treatment, and community clinicians participate in discharge planning and assertive follow up since these are features known to improve clinical outcomes. The chapter outlines, through the use of a hypothetical case example, the processes involved in admission to and discharge from the Walker Unit.
Immunreaktion nach perforierender Keratoplastik in Abhängigkeit von der Transplantatgröße und -zentrierung
Authors: Tischer N. , Zemova E. , Maamri A. , Pfeiffer M. , Reinert U. , Sideroudi H. , Seitz B. 
Published: June 2022

Zusammenfassung
Hintergrund
Die Immunreaktion (IR) nach perforierender Keratoplastik (PKP) stellt eine schwerwiegende Komplikation mit hohem Risiko des Transplantat(TPL)-Verlustes dar. Ziel dieser Studie ist es, insbesondere den Einfluss der TPL-Größe und -Zentrierung auf das Auftreten einer IR mithilfe präziser Messmethoden zu analysieren und zu bewerten.

Patienten und Methoden
In diese retrospektive Studie wurden insgesamt 2133 Patienten eingeschlossen, welche im Zeitraum von Januar 2009 bis Juli 2019 eine PKP erhalten haben. Es wurden folgende Zielgrößen analysiert: Häufigkeit einer IR, TPL-Herkunft, Spender- und Patientenalter, Diagnose, Hornhaut(HH)-Durchmesser, Flächenverhältnisse von TPL zu Empfänger-HH und die Rolle der TPL-Zentrierung mithilfe von Abstandsmessungen zum vaskularisierten Limbusrand an 4 verschiedenen Stellen.

Ergebnisse
Insgesamt erlitten 8,25 % der Patienten eine IR im Beobachtungszeitraum. Die Häufigkeit einer IR korrelierte signifikant (p < 0,001) positiv mit dem Verhältnis von TPL-Größe und Empfänger-HH-Größe. Außerdem konnte eine signifikante Korrelation zwischen dem Auftreten einer IR und einem geringen Abstand des TPL-Randes zum Limbus in der y‑Achse (oben und unten) festgestellt werden. Insbesondere zeigte sich anhand des Korrelationskoeffizienten ein stärkerer Zusammenhang für den unteren Limbusrand (p < 0,001).

Schlussfolgerung
Eine IR nach PKP ist eine nicht seltene Komplikation, die signifikant mit der TPL-Größe und -Zentrierung zusammenhängt. Ein im Verhältnis zur Empfänger-HH groß gewähltes TPL sowie die Nähe des TPL-Randes zum vaskularisierten Limbus oben und unten korrelieren signifikant mit dem Auftreten einer IR. Es handelt sich dabei um bedeutende Risikofaktoren für das TPL-Überleben, welche von mikrochirurgischer Seite aus beeinflussbar sind und sich zukünftig möglicherweise weiter optimieren lassen.
A review on advanced numerical methods for free-surface hydrodynamics
Authors: Casulli Vincenzo , Zanolli Paola 
Published: June 2022

AbstractEnvironmental hydrodynamics is typically characterized by free-surface hydrostatic flows. Within such a framework a set of simplified models are derived from the Reynolds averaged Navier–Stokes equations under various simplifying assumptions. Numerically, a simple method for the 1D open channel flow is derived first. This method is then extended to the $$2D_{xz}$$

2

D

xz

laterally averaged model and to the $$2D_{xy}$$

2

D

xy

vertically averaged model. Next, a semi-implicit method for the 3D model is described and discussed.
Neural activities during the Processing of unattended and unseen emotional faces: a voxel-wise Meta-analysis
Authors: Qiu Zeguo , Lei Xue , Becker Stefanie I. , Pegna Alan J. 
Published: June 2022

AbstractVoxel-wise meta-analyses of task-evoked regional activity were conducted for healthy individuals during the unconscious processing of emotional and neutral faces with an aim to examine whether and how different experimental paradigms influenced brain activation patterns. Studies were categorized into sensory and attentional unawareness paradigms. Thirty-four fMRI studies including 883 healthy participants were identified. Across experimental paradigms, unaware emotional faces elicited stronger activation of the limbic system, striatum, inferior frontal gyrus, insula and the temporal lobe, compared to unaware neutral faces. Crucially, in attentional unawareness paradigms, unattended emotional faces elicited a right-lateralized increased activation (i.e., right amygdala, right temporal pole), suggesting a right hemisphere dominance for processing emotional faces during inattention. By contrast, in sensory unawareness paradigms, unseen emotional faces elicited increased activation of the left striatum, the left amygdala and the right middle temporal gyrus. Additionally, across paradigms, unconsciously processed positive emotions were found associated with more activation in temporal and parietal cortices whereas unconsciously processed negative emotions elicited stronger activation in subcortical regions, compared to neutral faces.
Bayes factors for peri-null hypotheses
Authors: Ly Alexander , Wagenmakers Eric-Jan 
Published: June 2022

AbstractA perennial objection against Bayes factor point-null hypothesis tests is that the point-null hypothesis is known to be false from the outset. We examine the consequences of approximating the sharp point-null hypothesis by a hazy ‘peri-null’ hypothesis instantiated as a narrow prior distribution centered on the point of interest. The peri-null Bayes factor then equals the point-null Bayes factor multiplied by a correction term which is itself a Bayes factor. For moderate sample sizes, the correction term is relatively inconsequential; however, for large sample sizes, the correction term becomes influential and causes the peri-null Bayes factor to be inconsistent and approach a limit that depends on the ratio of prior ordinates evaluated at the maximum likelihood estimate. We characterize the asymptotic behavior of the peri-null Bayes factor and briefly discuss suggestions on how to construct peri-null Bayes factor hypothesis tests that are also consistent.
Recommendations for the use of biomarkers for head and neck cancer, including salivary gland tumours: a consensus of the Spanish Society of Medical Oncology and the Spanish Society of Pathology
Authors: Trigo José , García-Cosío Mónica , García-Castaño Almudena , Gomà Montserrat , Mesia-Nin Ricard , Ruiz-Bravo Elena , Soria-Rivas Ainara , Castillo Paola , Braña-García Irene , Alberola-Ferranti Margarita 
Published: June 2022

AbstractThe treatment of head and neck and salivary gland tumours is complicated and evolves constantly. Prognostic and predictive indicators of response to treatment are enormously valuable for designing individualized therapies, which justifies their research and validation. Some biomarkers, such as p16, Epstein–Barr virus, PD-L1, androgen receptors and HER-2, are already used routinely in clinical practice. These biomarkers, along with other markers that are currently under development, and the massively parallel sequencing of genes, ensure future advances in the treatment of these neoplasms. In this consensus, a group of experts in the diagnosis and treatment of tumours of the head and neck and salivary glands were selected by the Spanish Society of Pathology (Sociedad Española de Anatomía Patológica—SEAP) and the Spanish Society of Medical Oncology (Sociedad Española de Oncología Médica—SEOM) to evaluate the currently available information and propose a series of recommendations to optimize the determination and daily clinical use of biomarkers.
A comparison between different methods to fill gaps in early precipitation series
Authors: Camuffo Dario , Becherini Francesca , della Valle Antonio , Zanini Valeria 
Published: June 2022

AbstractThe aim of this work is to analyse and compare different methodologies to fill gaps in early precipitation series, and to evaluate which time resolution is reachable, i.e. monthly or daily one. The following methods are applied and tested to fill the 1764–1767 gap in the precipitation series of Padua: (1) using a relationship between monthly amounts and frequencies; (2) transforming a daily log with visual observations into numerical values through analysis, classification, and calibration; (3) substituting the missing values with an instrumental record from a nearby, contemporary station in the same climatic area. To apply the second method, the descriptions reported in the Morgagni Logs are grouped in 37 classes and transformed into numerical values, using for calibration the observed amounts in the Poleni record over the 24-year common period. As a third method, the series of Temanza and Pollaroli in Venice is used to fill the gap, and the application of a factor scale based on the ratio Padua/Venice tempted. The results of these three methods are discussed and commented.