bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Lived Experiences of Preschool Children Ages 3–4: The Practices of Independence in the Case Some Pre School in Vietnam
Authors: Nguyen Nhung Thi 
Published: August 2023

Independence helps children to always be confident and to control themselves in activities and communication. Education for independence is an urgent issue for education systems around the world to meet the requirements of society in the current context, one side it represented the developments of the education system and the other is it shows the developments of the early ages of the generation of a nation. By means of observation measured by the 5-point Likert scale, by the observers are lecturers and staff of the National College for Education this study was conducted in suburban and inner-city schools of both public and non-public types on the independence of 3–4-year-olds whose ages from 36 to 48 months the data then was collected and proceed by SPSS. The results show that children's independence is quite good, with a five-point scale in all independent expressions. However, there is a need for more in-depth additional studies for each type of school or further identification of the influencing factors for children's independence at this age.
3D Printing by Two‐Photon Polymerization of Polyimide Objects and Demonstration of a 3D‐printed Micro‐Hotplate
Authors: Pagliano Simone , Schröder Stephan , Stemme Göran , Niklaus Frank 
Published: August 2023

AbstractPolyimides are polymeric materials with outstanding thermal, chemical, and mechanical properties. For this reason, they find applications in several engineering sectors, including aerospace, microsystems, and biomedical applications. For realizing 3D structures made of polyimides, 3D printing is an attractive technique because it overcomes the limitations of polyimide processing using conventional manufacturing techniques such as molding and subtractive manufacturing. However, current polyimide 3D printing approaches are limited to realizing objects with the smallest dimensions of the order of a few hundred micrometers. 3D printing of polyimide objects featuring sub‐micrometer resolution using two‐photon polymerization by direct laser writing is demonstrated here. A negative photosensitive polyimide is applied that is widely used in microsystems applications. To demonstrate the utility of this polyimide 3D printing approach and the compatibility of the 3D objects with operation at elevated temperatures, a micro‐hotplate is 3D printed and characterized at operating temperatures of above 300 °C.
Survivin‐Based Recombinant Overlapping Peptides Induce T Lymphocyte Cytotoxicity and Prolong the Survival in In Vivo Melanoma Model
Authors: Zhang Yuanting , Zhou Yihan , Gong Min , Zhang Qing , Zheng Qiujie , Shen Yuanying , Lu Wenshu , Jiang Shisong 
Published: August 2023

AbstractAnti‐cancer vaccination emerged as a promising and cost‐effective immunotherapy, but the lack of immunogenicity has hindered the success of therapeutic vaccine development. To address this issue and improve therapeutic efficacy, this study presents the examination of recombinant overlapping peptides (ROP) based on the tumor‐associated antigen, survivin, on in vivo immunogenicity and anti‐tumor efficacy using a melanoma C57/BL mouse model. Results show that ROPs induce a remarkable 46.5% cytotoxic activity mediated by activated cytotoxic T lymphocytes, compared to only 3% in wild‐type (WT) survivin protein. Additionally, ROPs significantly reduce tumor size by over 500 mm3 and prolong survival rates in mice with zero deaths in the first 17 days and 30% survival at the end of day 23, while no mice immunized with WT survivin protein survive beyond day 20. ROPs combined with anti‐4‐1BB agonists lead to additional tumor size reduction by 500 mm3 and 70% survival on day 23. These findings underscore the importance of survivin as a trigger for tumor‐restricting immunity and provide therapeutic evidence of ROPs' anti‐tumor potential, especially when combined with other immunostimulants, such as anti‐4‐1BB agonists. ROPs and adjuvant immunostimulants represent a potent vaccine strategy for therapeutic purposes, increasing vaccine immunogenicity and improving survival against cancer.
Ultrafast Detection of Monoamine Oxidase A in Live Cells and Clinical Glioma Tissues Using an Affinity Binding‐Based Two‐Photon Fluorogenic Probe
Authors: Zhang Congcong , Fang Haixiao , Du Wei , Zhang Duoteng , Qu Yunwei , Tang Fang , Ding Aixiang , Huang Kai , Peng Bo , Li Lin , Huang Wei 
Published: August 2023

AbstractAbnormal expression of monoamine oxidase A (MAO−A) has been implicated in the development of human glioma, making MAO−A a promising target for therapy. Therefore, a rapid determination of MAO−A is critical for diagnosis. Through in silico screening of two‐photon fluorophores, we discovered that a derivative of N,N‐dimethyl‐naphthalenamine (pre‐mito) can effectively fit into the entrance of the MAO−A cavity. Substitutions on the N‐pyridine not only further explore the MAO−A cavity, but also enable mitochondrial targeting ability. The aminopropyl substituted molecule, CD1, showed the fastest MAO−A detection (within 20 s), high MAO−A affinity and selectivity. It was also used for in situ imaging of MAO−A in living cells, enabling a comparison of the MAO−A content in human glioma and paracancerous tissues. Our results demonstrate that optimizing the affinity binding‐based fluorogenic probes significantly improves their detection rate, providing a general approach for rapid detection probe design and optimization.
Gas foaming of polyphenyl sulfone: Effect of the blowing agents and operating parameters
Authors: Trucillo Paolo , Errichiello Fabrizio , Di Maio Ernesto 
Published: August 2023

AbstractPolyphenyl sulfone (PPSU) is a highly stable and rigid polymer with good chemical and mechanical resistance used in automotive and aerospace industries in high‐temperature applications during long‐operating cycles. PPSU foams are applied as core materials in lightweight composites ensuring high strength, fire resistance, thermal and acoustic insulation. In this paper, PPSU slabs are foamed using CO2, N2, and He as blowing agents (BAs). An experimental campaign is carried out to estimate the BAs' diffusivity in the polymer. In details, CO2 diffusivity ranges from 8E‐11 to 1E‐09 m2/s at temperatures from 220 to 260°C; diffusivity of N2 ranges from 2E‐10 to 5E‐09 m2/s (220–260°C) and it is 4E‐09 m2/s for He at 220°C. Foaming tests reveal an expansion ratio as high as 400% for CO2, 130% for He, and 150% for N2.Scanning electron microscopy analysis is also performed on produced samples, obtaining a cell number density of 1.3E07, 2.6E05, and 1.8E06 cells/cm3 when saturating, respectively, with CO2 at 220°C and 100 bar, N2 at 220°C and 100 bar, and He at 230°C and 100 bar.
Iminoboranes With Parent B=NH Entity: Imino Group Metathesis, Nucleophilic Reactivity and N−N Coupling
Authors: Dolati Hadi , Denker Lars , Martínez Juan Pablo , Trzaskowski Bartosz , Frank René 
Published: August 2023

AbstractWhile R2C=N−R double bonds in organic imines are well established, the related iminoboranes R‐B=N−R are either prone to oligomerization or can only be stabilized at sufficient steric congestion. In particular, the examples of unsubstituted parent B=N‐H entity are rare. We demonstrate that the amino imidazoline‐2‐imine ligand system (HAmIm) not only gives rise to the isolation of a parent (AmIm)B=N−H iminoborane, but also to species of type (AmIm)B=N‐SiMe3 with concomitant stabilization by lithium bromide. The double bond character in these systems is unambiguously corroborated by DFT calculations. The steric accessibility of the (AmIm)B=NH unit allows facile reactivity including metathesis reactions with C=O and C=S bonds, nucleophilic addition toward organic and organometallic carbonyl compounds, but also oxidative N−N coupling within a dimeric unit. Thus, the chemical behavior of the (AmIm)B=N−H and (AmIm)B=N‐SiMe3 is distinctly different from that of organic imines.
Magnetic, Dielectric, and Thermal Properties of BaCo‐Hexaferrite Nanospheres
Authors: Ramanjaneyulu O. , Kumar N. Suresh , Basha D. Baba , Naidu K. Chandra Babu 
Published: August 2023

AbstractBaxCo1‐xFe12O19 (x = 0.2, 0.4, 0.6, & 0.8) nanoparticles are prepared via hydrothermal method. The hexagonal structure of x = 0.2 – 0.8 samples is confirmed by X‐ray diffraction patterns. Morphology indicated the existence of nanospheres like grains. The magnetic and dielectric parameters are clearly discussed as a function of composition at room temperature. The increase of Ba‐content reduced the magnetization from 56.1 to 49.7 emu g−1, and at higher Ba‐content, it is increased from 49.7 to 57.3 emu g−1. The x = 0.6 content offered the high ε' ≈9.54 and low ε" ≈0.12 values suitable for charge storage, and low noise device applications. Further, the thermal properties (using thermogravimetry (TG)‐differential thermogravimetry (DTG) & TG‐differential scanning calorimetry (DSC)) are elucidated in detail.
Mechanochemical Synthesis of Corannulene: Scalable and Efficient Preparation of A Curved Polycyclic Aromatic Hydrocarbon under Ball Milling Conditions
Authors: Báti Gábor , Laxmi Shoba , Stuparu Mihaiela C. 
Published: August 2023

AbstractCorannulene, a curved polycyclic aromatic hydrocarbon, is prepared in a multigram scale through mechanochemical synthesis. Initially, a mixer mill approach is examined and found to be suitable for a gram scale synthesis. For larger scales, planetary mills are used. For instance, 15 g of corannulene could be obtained in a single milling cycle with an isolated yield of 90 %. The yields are lower when the jar rotation rate is lower or higher than 400 revolutions per minute (rpm). Cumulatively, 98 g of corannulene is produced through the ball milling‐based grinding techniques. These results indicate the future potential of mechanochemistry in the rational chemical synthesis of highly curved nanocarbons such as fullerenes and carbon nanotubes.
Toward a deep CNN and RS‐GOA framework for vehicle detection, traffic flow estimation, and optimal path selection from surveillance videos
Authors: Sasikala S. , Neelaveni R. , Jose P. Sweety 
Published: August 2023

SummarySeveral autonomous traffic monitoring systems have been created as a result of the growing number of vehicles in urban areas. Traffic surveillance systems that use roadside cameras, in particular, are becoming widely used for traffic management. For an efficient traffic control and vehicle navigation system, accurate traffic flow information must be obtained based on the vehicles detected in surveillance videos. However, vehicles of various scales are difficult to spot in traffic surveillance videos due to the presence of barricades, other vehicles, and the impact of poor lighting. Also, adverse weather conditions like snow, fog, and heavy rain diminish the visual quality of the surveillance footage. This paper proposes multi‐scale dense nested deep CNN (MSDN‐DCNN) and regional search grasshopper optimization algorithm (RS‐GOA) framework to accurately detect the vehicles, estimate the traffic flow, and find the optimal path with less travel time. First, the surveillance videos are pre‐processed, which includes frame conversion, redundancy removal, and image enhancement. The pre‐processed frames are given as input to the MSDN‐DCNN for multi‐scale vehicle detection. The detected results are used for vehicle counting and estimating the traffic flow. Finally, the optimal path is chosen based on the traffic flow information by using the RS‐GOA algorithm. The performance of the proposed method is compared with the existing vehicle detection and path selection techniques. The results illustrate that the proposed Deep CNN‐RS‐GOA framework has improved performance with high detection accuracy (91.03%), high speed (53.9 fps), less running time (1,000 ms), less travel time, and faster convergence.
A protected flow breaks the drought for golden perch (Macquaria ambigua) spawning along an extensive semi‐arid river system
Authors: Thiem Jason D. , Michie Laura E. , Butler Gavin L. , Ebner Brendan C. , Sharpe Clayton P. , Stuart Ivor , Townsend Anthony 
Published: August 2023

AbstractFreshwater ecosystems are under extreme stress due to anthropogenic influences including changing climate, river regulation and water abstraction. Improving our understanding of the hydrological determinants of key life‐history processes of fish, as well as the spatial scales over which these processes occur, is fundamental to inform effective recovery actions. We monitored the spawning response of native fish to a drought‐breaking long‐distance flow pulse that was protected from extraction by a legal intervention order in Australia's northern Murray–Darling Basin. Sampling sites were distributed across >1600 km of the Barwon–Darling River and three of its major tributaries. Larvae of the pelagophilic golden perch (Macquaria ambigua) were captured at all sites, with the size and age distribution indicative of both mainstem and tributary spawning. A mismatch between estimated hatch dates and river discharge at some locations suggested substantial flow‐assisted dispersal from upstream spawning sites, although this was site‐specific and more prevalent at downstream locations. Early life growth rates were the highest at tributary sites compared with mainstem sites, and within mainstem sites, golden perch grew faster in upper reaches compared with lower reaches. The present study provides insight into the environmental benefit of a post‐drought protected flow event whereby connected lotic habitats promoted fish spawning and dispersal over a large spatial scale. Protection of future flow events should occur to support the conservation of golden perch and other pelagophil species, particularly following future drought periods which are forecast to become more intense and frequent.
Radical Dearomatising Spirocyclisation of Benzisoxazole‐Tethered Ynones
Authors: Inprung Nantachai , Whitwood Adrian C. , Taylor Richard J. K. , James Michael J. , Unsworth William P. 
Published: August 2023

AbstractThe dearomative spirocyclisation of benzisoxazoles through a radical chain mechanism is described. Densely functionalised spirocycles were prepared in high yields by reacting benzisoxazole‐tethered ynones with aryl thiols in 1,2‐dichloroethane (DCE) at 60 °C. The identification of stabilising three‐electron interactions was key to the development of this new radical cascade reaction. The obtained spirocyclic products were converted into other spirocyclic scaffolds through a two‐step hydrogenolysis‐cyclisation sequence.
Modified‐Hydroxyapatite‐Chitosan Hybrid Composite Interfacial Coating on 3D Polymeric Scaffolds for Bone Tissue Engineering
Authors: Poddar Deepak , Singh Ankita , Rao Pranshu , Mohanty Sujata , Jain Purnima 
Published: August 2023

AbstractThree dimensional (3D) scaffolds have huge limitations due to their low porosity, mechanical strength, and lack of direct cell‐bioactive drug contact. Whereas bisphosphonate drug has the ability to stimulate osteogenesis in osteoblasts and bone marrow mesenchymal stem cells (hMSC) which attracted its therapeutic use. However it is hard administration low bioavailability, and lack of site‐specificity, limiting its usage. The proposed scaffold architecture allows cells to access the bioactive surface at their apex by interacting at the scaffold's interfacial layer. The interface of 3D polycaprolactone (PCL) scaffolds has been coated with alendronate‐modified hydroxyapatite (MALD) enclosed in a chitosan matrix, to mimic the native environment and stupulate the through interaction of cells to bioactive layer. Where the mechanical strength will be provided by the skeleton of PCL. In the MALD composite's hydroxyapatite (HAP) component will govern alendronate (ALD) release behavior, and HAP presence will drive the increase in local calcium ion concentration increases hMSC proliferation and differentiation. In results, MALD show release of 86.28 ± 0.22. XPS and SEM investigation of the scaffold structure, shows inspiring particle deposition with chitosan over the interface. All scaffolds enhanced cell adhesion, proliferation, and osteocyte differentiation for over a week without in vitro cell toxicity with 3.03 ± 0.2 kPa mechanical strength.
Prevention of Falls in Parkinson's Disease: Guidelines and Gaps
Authors: Camicioli Richard , Morris Meg E. , Pieruccini‐Faria Frederico , Montero‐Odasso Manuel , Son Surim , Buzaglo David , Hausdorff Jeffrey M. , Nieuwboer Alice 
Published: August 2023

ABSTRACTBackgroundPeople living with Parkinson's disease (PD) have a high risk for falls.ObjectiveTo examine gaps in falls prevention targeting people with PD as part of the Task Force on Global Guidelines for Falls in Older Adults.MethodsA Delphi consensus process was used to identify specific recommendations for falls in PD. The current narrative review was conducted as educational background with a view to identifying gaps in fall prevention.ResultsA recent Cochrane review recommended exercises and structured physical activities for PD; however, the types of exercises and activities to recommend and PD subgroups likely to benefit require further consideration. Freezing of gait, reduced gait speed, and a prior history of falls are risk factors for falls in PD and should be incorporated in assessments to identify fall risk and target interventions. Multimodal and multi‐domain fall prevention interventions may be beneficial. With advanced or complex PD, balance and strength training should be administered under supervision. Medications, particularly cholinesterase inhibitors, show promise for falls prevention. Identifying how to engage people with PD, their families, and health professionals in falls education and implementation remains a challenge. Barriers to the prevention of falls occur at individual, environmental, policy, and health system levels.ConclusionEffective mitigation of fall risk requires specific targeting and strategies to reduce this debilitating and common problem in PD. While exercise is recommended, the types and modalities of exercise and how to combine them as interventions for different PD subgroups (cognitive impairment, freezing, advanced disease) need further study.
Complete stealthiness false data injection attack design in multisensor systems with attack resource constraints
Authors: Qian Yi‐Hao , Li Xiao‐Jian , Sun Jie 
Published: August 2023

AbstractThis article is concerned with the attack design problem of multisensor cyber‐physical systems. Compared with the existing results developed for the single‐sensor system, the attacker is limited to modify partial sensors. To avoid generating alarm for the given detect mechanism, the correlation influence between the attacked and normal sensors is eliminated in the designed stealthiness condition. Then the trace of error covariance is used to measure the attack effect and the coupling information between sensors is also involved. By using the design freedom of stealthiness condition, the detailed attack parameters design and attacked channels selection strategy are derived to achieve the optimal attack performance via a two‐stage method including backstepping and eigenvalue sorting techniques. Finally, numerical simulation examples are provided to verify the effectiveness and advantages of the proposed attack method.
Ein Säugling mit Fieber und Durchfall
Authors: Oberwegner S. , Haag L. , Simon S. , Marschal M. , Wilke M. 
Published: August 2023

ZusammenfassungEin 5 Monate altes Mädchen wurde mit anhaltend hohem Fieber in der Klinik vorgestellt. Außer Erbrechen und Diarrhö in der Anamnese und leicht erhöhten Entzündungswerten fanden sich keine klinischen Auffälligkeiten. Das Kind wurde zur Überwachung stationär aufgenommen und am nächsten Tag in gutem Allgemeinzustand unter Fortführung der oralen Antibiotikatherapie entlassen. Eine bei Aufnahme abgenommene Blutkultur wurde mit dem Nachweis von Salmonella Sandiego überraschend positiv. Eine telefonische Rücksprache mit der Familie ergab, dass die Familie mehrere Schlangen besitzt, welche als wichtige Quelle von invasiven Salmonellenerkrankungen bei Menschen gelten. Die Patientin war weiterhin in gutem Allgemeinzustand, sodass die orale antibiotische Therapie fortgeführt wurde. Dieser Fall weist darauf hin, dass bei unklarem Fieber auch an ungewöhnliche Infektionsquellen (wie „Haustiere“) gedacht werden sollte.
COVID-19 related change in breast cancer diagnosis, stage, treatment, and case volume: 2019–2021
Authors: Malmgren Judith A. , Guo Boya , Atwood Mary K. , Hallam Paula , Roberts Laura A. , Kaplan Henry G. 
Published: August 2023

Abstract
Purpose
Evaluate the COVID-19 pandemic impact on breast cancer detection method, stage and treatment before, during and after health care restrictions.

Methods
In a retrospective tertiary cancer care center cohort, first primary breast cancer (BC) patients, years 2019–2021, were reviewed (n = 1787). Chi-square statistical comparisons of detection method (patient (PtD)/mammography (MamD), Stage (0-IV) and treatment by pre-pandemic time 1: 2019 + Q1 2020; peak-pandemic time 2: Q2-Q4 2020; pandemic time 3: Q1-Q4 2021 (Q = quarter) periods and logistic regression for odds ratios were used.

Results
BC case volume decreased 22% in 2020 (N = 533) (p = .001). MamD declined from 64% pre-pandemic to 58% peak-pandemic, and increased to 71% in 2021 (p < .001). PtD increased from 30 to 36% peak-pandemic and declined to 25% in 2021 (p < .001). Diagnosis of Stage 0/I BC declined peak-pandemic when screening mammography was curtailed due to lock-down mandates but rebounded above pre-pandemic levels in 2021. In adjusted regression, peak-pandemic stage 0/I BC diagnosis decreased 24% (OR = 0.76, 95% CI: 0.60, 0.96, p = .021) and increased 34% in 2021 (OR = 1.34, 95% CI: 1.06, 1.70, p = .014). Peak-pandemic neoadjuvant therapy increased from 33 to 38% (p < .001), primarily for surgical delay cases.

Conclusions
The COVID-19 pandemic restricted health-care access, reduced mammography screening and created surgical delays. During the peak-pandemic time, due to restricted or no access to mammography screening, we observed a decrease in stage 0/I BC by number and proportion. Continued low case numbers represent a need to re-establish screening behavior and staffing.
Inexact proximal Newton methods in Hilbert spaces
Authors: Pötzl Bastian , Schiela Anton , Jaap Patrick 
Published: August 2023

AbstractWe consider proximal Newton methods with an inexact computation of update steps. To this end, we introduce two inexactness criteria which characterize sufficient accuracy of these update step and with the aid of these investigate global convergence and local acceleration of our method. The inexactness criteria are designed to be adequate for the Hilbert space framework we find ourselves in while traditional inexactness criteria from smooth Newton or finite dimensional proximal Newton methods appear to be inefficient in this scenario. The performance of the method and its gain in effectiveness in contrast to the exact case are showcased considering a simple model problem in function space.