bluuebunny/crossref_metadata_2025 huggingface dataset:
Elevation of serum plasminogen activator inhibitor-1 predicts postoperative delirium independent of neural damage: a sequential analysis
Authors: Mietani Kazuhito , Hasegawa-Moriyama Maiko , Yagi Koichi , Inoue Reo , Ogata Toru , Shimojo Nobutake , Seto Yasuyuki , Uchida Kanji , Sumitani Masahiko
Published: October 2022

Older adult surgical patients are susceptible to developing delirium. Early intervention can be initiated if a potential biomarker associated with delirium can be identified during the acute phase of surgery. Therefore, we investigated the changes in the levels of serum inflammatory mediators responsible for delirium. Serum biomarkers were measured preoperatively to postoperative day 3 in 96 patients who underwent esophageal cancer surgery and compared between patients who did and did not develop delirium. Serum concentrations of the brain-derived phosphorylated neurofilament heavy subunit remained at higher levels throughout the entire perioperative period in patients with delirium (n = 15) than in those without delirium (n = 81). The interaction between delirium and non-delirium was significant for plasminogen activator inhibitor-1 (including age as a covariate, F = 13.360,p < 0.0001, η2p = 0.134, observed power 1.000) during the perioperative periods. Plasminogen activator inhibitor-1 level discriminated between patients with and without clinically diagnosed delirium with significantly high accuracy (area under curve, 0.864; sensitivity, 1.00: negative predictive value, 1.000;p = 0.002). Rapid increases in the levels of serum plasminogen activator inhibitor-1 may enable clinicians to identify patients at risk of developing postoperative delirium and initiate early prevention and intervention.
A comparative study of spike protein of SARS-CoV-2 and its variant Omicron (B.1.1.529) on some immune characteristics
Authors: Li Ximeng , Li Wenjing , Liu Zhuangzhuang , Kang Yuan , Zhang Xiaoyu , Xu Zhenlu , Gao Yuan , Qi Yun
Published: October 2022

The emergence of Omicron variant raises great concerns because of its rapid transmissibility and its numerous mutations in spike protein (S-protein). S-protein can act as a pathogen-associated molecular pattern and complement activator as well as antigen. We compared some immune characteristics of trimer S-proteins for wild type (WT-S) and B.1.1.529 Omicron (Omicron-S) to investigate whether the mutations have affected its pathogenicity and antigenic shift. The results indicated that WT-S and Omicron-S directly activated nuclear factor-κB (NF-κB) and induced the release of pro-inflammatory cytokines in macrophages, but the actions of Omicron-S were weaker. These inflammatory reactions could be abrogated by a Toll-like receptor 4 antagonist TAK-242. Two S-proteins failed to induce the production of antiviral molecular interferon-β. In contrast to pro-inflammatory effects, the ability of two S-proteins to activate complement was comparable. We also compared the binding ability of two S-proteins to a high-titer anti-WT-receptor-binding domain antibody. The data showed that WT-S strongly bound to this antibody, while Omicron-S was completely off-target. Collectively, the mutations of Omicron have a great impact on the pro-inflammatory ability and epitopes of S-protein, but little effect on its ability to activate complement. Addressing these issues can be helpful for more adequate understanding of the pathogenicity of Omicron and the vaccine breakthrough infection.
An extended machine learning technique for polycystic ovary syndrome detection using ovary ultrasound image
Authors: Suha Sayma Alam , Islam Muhammad Nazrul
Published: October 2022

Polycystic ovary syndrome (PCOS) is the most prevalent endocrinological abnormality and one of the primary causes of anovulatory infertility in women globally. The detection of multiple cysts using ovary ultrasonograpgy (USG) scans is one of the most reliable approach for making an accurate diagnosis of PCOS and creating an appropriate treatment plan to heal the patients with this syndrome. Instead of depending on error-prone manual identification, an intelligent computer-aided cyst detection system can be a viable approach. Therefore, in this research, an extended machine learning classification technique for PCOS prediction has been proposed, trained and tested over 594 ovary USG images; where the Convolutional Neural Network (CNN) incorporating different state-of-the-art techniques and transfer learning has been employed for feature extraction from the images; and then stacking ensemble machine learning technique using conventional models as base learners and bagging or boosting ensemble model as meta-learner have been used on that reduced feature set to classify between PCOS and non-PCOS ovaries. The proposed technique significantly enhances the accuracy while also reducing training execution time comparing with the other existing ML based techniques. Again, following the proposed extended technique, the best performing results are obtained by incorporating the “VGGNet16” pre-trained model with CNN architecture as feature extractor and then stacking ensemble model with the meta-learner being “XGBoost” model as image classifier with an accuracy of 99.89% for classification.
Clinical and molecular findings in three Japanese patients with N-acetylneuraminic acid synthetase-congenital disorder of glycosylation (NANS-CDG)
Authors: Masunaga Yohei , Nishimura Gen , Takahashi Koji , Hishiyama Tomiyuki , Imamura Masatoshi , Kashimada Kenichi , Kadoya Machiko , Wada Yoshinao , Okamoto Nobuhiko , Oba Daiju , Ohashi Hirofumi , Ikeno Mitsuru , Sakamoto Yuko , Fukami Maki , Saitsu Hirotomo , Ogata Tsutomu
Published: October 2022

We report clinical and molecular findings in three Japanese patients with N-acetylneuraminic acid synthetase-congenital disorder of glycosylation (NANS-CDG). Patient 1 exhibited a unique constellation of clinical features including marked hydrocephalus, spondyloepimetaphyseal dysplasia (SEMD), and thrombocytopenia which is comparable to that of an infant reported by Faye-Peterson et al., whereas patients 2 and 3 showed Camera-Genevieve type SMED with intellectual/developmental disability which is currently known as the sole disease name for NANS-CDG. Molecular studies revealed a maternally inherited likely pathogenic c.207del:p.(Arg69Serfs*57) variant and a paternally derived likely pathogenic c.979_981dup:p.(Ile327dup) variant in patient 1, a homozygous likely pathogenic c.979_981dup:p.(Ile327dup) variant caused by maternal segmental isodisomy involving NANS in patient 2, and a paternally inherited pathogenic c.133−12T>A variant leading to aberrant splicing and a maternally inherited likely pathogenic c.607T>C:p.(Tyr203His) variant in patient 3 (reference mRNA: NM_018946.4). The results, together with previously reported data, imply that (1) NANS plays an important role in postnatal growth and fetal brain development; (2) SMED is recognizable at birth and shows remarkable postnatal evolution; (3) NANS-CDG is associated with low-normal serum sialic acid, obviously elevated urine N-acetylmannosamine, and normal N- and O-glycosylation of serum proteins; and (4) NANS-CDG is divided into Camera-Genevieve type and more severe Faye-Peterson type.
A metalens-based analog computing system for ultrasonic Fourier transform calculations
Authors: Uy Robert Frederik , Bui Viet Phuong
Published: October 2022

Wave-based analog computing is a new computing paradigm heralded as a potentially superior alternative to existing digital computers. Currently, there are optical and low-frequency acoustic analog Fourier transformers. However, the former suffers from phase retrieval issues, and the latter is too physically bulky for integration into CMOS-compatible chips. This paper presents a solution to these problems: the Ultrasonic Fourier Transform Analog Computing System (UFT-ACS), a metalens-based analog computer that utilizes ultrasonic waves to perform Fourier transform calculations. Through wave propagation simulations on MATLAB, the UFT-ACS has been shown to calculate the Fourier transform of various input functions with a high degree of accuracy. Moreover, the optimal selection of parameters through sufficient zero padding and appropriate truncation and bandlimiting to minimize errors is also discussed.
Structural analysis of the overoxidized Cu/Zn-superoxide dismutase in ROS-induced ALS filament formation
Authors: Baek Yeongjin , Woo Tae-Gyun , Ahn Jinsook , Lee Dukwon , Kwon Yonghoon , Park Bum-Joon , Ha Nam-Chul
Published: October 2022

Eukaryotic Cu, Zn-superoxide dismutase (SOD1) is primarily responsible for cytotoxic filament formation in amyotrophic lateral sclerosis (ALS) neurons. Two cysteine residues in SOD1 form an intramolecular disulfide bond. This study aims to explore the molecular mechanism of SOD1 filament formation by cysteine overoxidation in sporadic ALS (sALS). In this study, we determined the crystal structure of the double mutant (C57D/C146D) SOD1 that mimics the overoxidation of the disulfide-forming cysteine residues. The structure revealed the open and relaxed conformation of loop IV containing the mutated Asp57. The double mutant SOD1 produced more contagious filaments than wild-type protein, promoting filament formation of the wild-type SOD1 proteins. Importantly, we further found that HOCl treatment to the wild-type SOD1 proteins facilitated their filament formation. We propose a feasible mechanism for SOD1 filament formation in ALS from the wild-type SOD1, suggesting that overoxidized SOD1 is a triggering factor of sALS. Our findings extend our understanding of other neurodegenerative disorders associated with ROS stresses at the molecular level.
Themed collection: Biomedical Raman Imaging
Authors: Fujita Katsumasa , Borri Paola , Min Wei
Published: October 2022

Katsumasa Fujita, Paola Borri and Wei Min introduce this Analyst themed issue on Biomedical Raman Imaging.
Peroxidase-like activity of a peroxotitanium complex and its inhibition by some hydroxyalkanoic acids
Authors: Yun Kyong-Il , Sonu Kyong-Su , Han Tong-Sul , Ri Hyong-Gwan , Han Kyong-Ae , Pak Un-Gyong
Published: October 2022

A peroxotitanium complex (PTC) catalyses the oxidation of OPD by H2O2 while the catalyst stability depends on pH, temperature, and concentrations of H2O2 and catalyst. And the PTC catalysis is effectively inhibited by some hydroxyalkanoic acids.
Visible-light-induced photocatalytic reductive carbonylation of nitroarenes using formic acid as a hydrogen source over a water-dispersible CTF-based palladium catalyst
Authors: Nejad Masoumeh Jadidi , Shariatipour Monire , Salamatmanesh Arefe , Heydari Akbar
Published: October 2022

Pd nanoparticles supported on an α-Fe2O3-decorated melamine-based COF were employed as a photocatalyst for water-mediated photocatalytic one-pot reductive N-formylation of nitroarenes using HCOOH as sustainable a hydrogen and formylating source under visible light.
A high-TC heavy rare earth monoxide semiconductor TbO with a more than half-filled 4f orbital
Authors: Sasaki Satoshi , Oka Daichi , Kaminaga Kenichi , Saito Daichi , Yamamoto Taku , Abe Nobuto , Shimizu Hirokazu , Fukumura Tomoteru
Published: October 2022

A rock-salt structured terbium monoxide, TbO, was synthesized for the first time in the solid phase. This TbO is a high TC (231 K) ferromagnetic semiconductor, probably forming 4f and 5f magnetic sublattices at a single magnetic Tb2+ site.
Macauba (Acrocomia aculeata) kernel has good protein quality and improves the lipid profile and short chain fatty acids content inWistarrats
Authors: Duarte Fátima Ladeira Mendes , da Silva Bárbara Pereira , Grancieri Mariana , Sant'Ana Cíntia Tomaz , Toledo Renata Celi Lopes , de São José Vinícius Parzanini Brilhante , Pacheco Sidney , Duarte Martino Hércia Stampini , Ribeiro de Barros Frederico Augusto
Published: October 2022

Macauba kernel can be indicated as a complementary source for a healthy diet and as an ingredient in the elaboration of food products, and can contribute to the continued growth of the plant-based food market.
Consumption of barley flour increases gut fermentation and improves glucose intolerance via the short-chain fatty acid receptor GPR43 in obese male mice
Authors: Mio Kento , Iida-Tanaka Naoko , Yamanaka Chiemi , Kimura Ikuo , Aoe Seiichiro
Published: October 2022

The ameliorative effect of barley intake on glucose intolerance is attenuated when Gpr43 is deficient.
Room-temperature magnetoresistance in Ni78Fe22/C8-BTBT/Ni78Fe22 nanojunctions fabricated from magnetic thin-film edges using a novel technique
Authors: Matsuzaka Mizuki , Sasaki Yuma , Hayashi Kyohei , Misawa Takahiro , Komine Takashi , Akutagawa Tomoyuki , Fujioka Masaya , Nishii Junji , Kaiju Hideo
Published: October 2022

The paper presents room-temperature magnetoresistance in molecular spintronic nanodevices fabricated using magnetic thin-film edges.
Strain engineering of graphene on rigid substrates
Authors: Zhang Yang , Jin Yanhan , Liu Jinglan , Ren Qiancheng , Chen Zhengyang , Zhao Yi , Zhao Pei
Published: October 2022

A novel technique for high-quality strain engineering of monolayer graphene on the SiO2/Si substrate with a maximum strain of 1.5% is achieved.
1,4-Dihydropyridine: synthetic advances, medicinal and insecticidal properties
Authors: A. Parthiban , Makam Parameshwar
Published: October 2022

1,4-Dihydropyridine (1,4-DHP) is one of the foremost notable organic scaffolds with diverse pharmaceutical applications.
Fabrication of Cu@Sn TLPS joint for high temperature power electronics application
Authors: Zhang Honghui , Xu Hongyan , Liu Xuan , Xu Ju
Published: October 2022

A novel Cu@Sn TLPS joint was fabricated for high-temperature power electronics application.
Polyimide-derived porous carbon/Co particle-based composites for high-performance microwave absorption
Authors: Yu Wentao , Min Yonggang , Fang Jiyong , Lu Xiaochuang , Wang Ziqing , Jian Lingfeng
Published: October 2022

A simple method that combines liquid–liquid phase separation and high-temperature pyrolysis has been developed for the synthesis of polyimide-derived porous carbon/Co particle-based composite absorbers (PIC/Co-800 and PIC/Co-1000).
Synthesis of MnCoO/CNT nanoflakes for the photocatalytic degradation of methyl orange dye and the evaluation of their activity against Culex pipiens larvae in the purification of fresh water
Authors: Mohamed Rania A. , Ghazali Niveen M. , Kassem L. M. , Elgazzar Elsayed , Mostafa Wageha A.
Published: October 2022

Researchers worldwide have been looking forward to using novel ways to purify fresh water containing pollutants and disease vectors.
Achieving stable photoluminescence by double thiacalix[4]arene-capping: the lanthanide-oxo cluster core matters
Authors: Lu Zixiu , Wang Shujian , Zhuo Zhu , Li Guo-Ling , Zhu Haomiao , Wang Wei , Huang You-Gui , Hong Maochun
Published: October 2022

{Ln4} cores outperform {Ln9} cores in achieving stable photoluminescence from double thiacalix[4]arene-capped lanthanide-oxo clusters.
Rational design of NiFe alloys for efficient electrochemical hydrogen evolution reaction: effects of Ni/Fe molar ratios
Authors: Messaoudi Yazid , Belhadj Hamza , Khelladi Mohamed R. , Azizi Amor
Published: October 2022

Developing and designing high-performance and stable NiFe electrodes for efficient hydrogen production in alkaline medium.
Plasmon enhanced catalysis-driven nanomotors with autonomous navigation for deep cancer imaging and enhanced radiotherapy
Authors: Liu Luntao , Li Qingqing , Chen Lanlan , Song Lihong , Zhang Xueqiang , Huo Hongqi , You Zhixin , Wu Ying , Wu Zongsheng , Ye Jiamin , Fu Qinrui , Su Lichao , Zhang Xuan , Yang Huanghao , Song Jibin
Published: October 2022

The limited accumulation and poor radiosensitization of radiosensitizers greatly reduce the therapeutic effects. Here, we developed Janus AuNR-TiO2 nanomotors for deep cancer photoacoustic imaging and enhanced radiotherapy.
Nickel-catalyzed enantioselective α-heteroarylation of ketones via C–F bond activation to construct all-carbon quaternary stereocenters
Authors: Gu Xiaodong , Liu Kexin , Yang Limin , Xie Chengyi , Li Mingliang , Wang Jun (Joelle)
Published: October 2022

Nickel-catalyzed asymmetric α-heteroarylation of ketones with fluorinated heteroarenes is reported via C–F bond activation.
Femtosecond anisotropy excitation spectroscopy to disentangle the Qx and Qy absorption in chlorophyll a
Authors: Zahn Clark , Stensitzki Till , Heyne Karsten
Published: October 2022

Femtosecond anisotropy excitation spectroscopy is a powerful tool for unraveling contributions of electronic transitions. Here, we applied it to chlorophyll a, identifying the contribution of Qx and Qy transitions within its absorption spectrum.
Modulating the frontier orbitals of L(X)Ga-substituted diphosphenes [L(X)GaP]2(X = Cl, Br) and their facile oxidation to radical cations
Authors: Sharma Mahendra K. , Chabbra Sonia , Wölper Christoph , Weinert Hanns M. , Reijerse Edward J. , Schnegg Alexander , Schulz Stephan
Published: October 2022

Carbene-coordination allowed for one-electron oxidation of diphosphenes [LGa(X)P]2to P-centered radicals cations 4a (X = Cl) and 4b (X = Br), in which the unpaired spin mainly reside at the carbene uncoordinated P-atoms.
Asymmetric dearomative cyclopropanation of naphthalenes to construct polycyclic compounds
Authors: Guan Fujun , Zhou Rong , Ren Xiaoyu , Guo Zhen , Wang Chengming , Zhou Cong-Ying
Published: October 2022

An enantioselective dearomative cyclopropanation of naphthalenes has been developed, which constructed a range of tetracyclic compounds bearing multichiral centers in high enantioselectivity.
Label-free imaging and biomarker analysis of exosomes with plasmonic scattering microscopy
Authors: Zhang Pengfei , Jiang Jiapei , Zhou Xinyu , Kolay Jayeeta , Wang Rui , Wan Zijian , Wang Shaopeng
Published: October 2022

The scattering imaging scheme permits the conventional prism-based SPR system to analyse single extracellular vesicles and determine the molecular profiles to characterize the exosomes secreted from different cells.
Construction of durable superhydrophobic and anti-icing coatings via incorporating boroxine cross-linked silicone elastomers with good self-healability
Authors: Liang Hengfei , Kuang Qi , Hu Chengyao , Chen Jun , Lu Xiaohui , Huang Yawen , Yan Hui
Published: October 2022

Dynamic bond reduces ice adhesion by enhancing surface slippery through bond exchange. Meanwhile, it also brings good self-healability.
Fine-tuning emission properties of the 9H-phenoselenazine core through substituents engineering for high efficiency purely organic room temperature phosphorescence
Authors: Patil Vilas Venunath , Jang Ho Jin , Lee Jun Yeob
Published: October 2022

A high external quantum efficiency of 12.8% was achieved in the Se based organic emitter based device by substituent engineering on the pure organic room temperature phosphorescent core.
Performance releaser with smart anchor learning for arbitrary‐oriented object detection
Authors: Zhang Tianwei W. , Dong Xiaoyu Y. , Sun Xu , Gao Lianru R. , Qu Ying , Zhang Bing , Zheng Ke
Published: October 2022

Arbitrary‐oriented object detection is widely used in aerial image applications because of its efficient object representation. However, the use of oriented bounding box aggravates the imbalance between positive and negative samples when using one‐stage object detectors, which seriously decreases the detection accuracy. We believe that it is the anchor learning strategy (ALS) used by such detectors that needs to take the responsibility. In this study, three perspectives on ALS design were summarised and ALS—Performance Releaser with Smart Anchor Learning (PRSAL) was proposed. Performance Releaser with Smart Anchor Learning is a dynamic ALS that utilises anchor classification ability as an equivalent indicator to anchor box regression ability, this allows anchors with high detection potential to be filtered out in a more reasonable way. At the same time, PRSAL focuses more on anchor potential and it is able to automatically select a number of positive samples that far exceed that of other methods by activating anchors that previously had a low spatial overlap, thereby releasing the detection performance. We validate the PRSAL using three remote sensing datasets—HRSC2016, DOTA and UCAS‐AOD as well as one scene text dataset—ICDAR 2013. The experimental results show that the proposed method gives substantially better results than existing models.
Space charge characteristics of silicone elastomer for device packaging under positive square wave voltage
Authors: Zhang Jinqiang , Li Xuebao , Zhao Zhibin , Cui Xiang
Published: October 2022

With the rapid development of power electronic devices towards high voltage and power, the insulation challenges faced by devices have attracted widespread attention. Silicone elastomer is widely used in device packaging as one insulating material, and the study of its insulating properties is helpful to the reliable operation of devices. To this end we obtained the space charge characteristics of silicone elastomer under positive square wave voltage by using the pulse‐electroacoustic (PEA) method. Firstly based on the existing research and IEC standards, the selection criteria of the resistance and capacitance parameters of a PEA system for space charge measurement under square wave voltage are given. Through this experimental system, the space charge distribution under the positive square wave voltage with different waveform parameters is obtained, and the influences of the waveform parameters on the space charge accumulation are analysed. The amounts of charges under the action of square wave voltage with different waveform parameters are calculated, and the influences of waveform parameters on the amounts of charges are analysed. In addition, the reasons for the difference in the accumulation of positive and negative charges are explained through Schottky injection model, the synthesis reaction and the infrared spectrum of the silicone elastomer.
Ride‐pooling in the light of COVID‐19: Determining spatiotemporal demand characteristics on the example of MOIA
Authors: Zwick Felix , Fraedrich Eva , Axhausen Kay W.
Published: October 2022

The mobility provider MOIA operates Europe's largest contiguous electric ride‐pooling service in Hamburg, representing a testbed of how shared and digitized transport can help foster the transformation of urban mobility. The on‐demand service has been in operation since 2019 and was thus affected by the COVID‐19 pandemic in 2020. This study shows real‐world insights into travel behavior before and during the pandemic, contributing to the empirical evidence on recent mobility behavior. After the application of descriptive statistical analyses, several (spatial) regression models are estimated to understand the relationship between spatial variables and demand. MOIA trip data from three different time periods are used: (a) before the COVID‐19 pandemic in summer and autumn 2019, (b) during the time of the first lockdown in Germany in spring 2020, and (c) after the first lockdown in summer and autumn 2020. A significant positive effect on ride‐pooling demand is observed for number of inhabitants, workplaces, gastronomic facilities, and at the airport in all time periods. In the course of the pandemic, the main travel patterns remained stable. However, the positive influences of gastronomy and the airport on ride‐pooling demand diminished in 2020. In contrast, the impact of hospitals on ride‐pooling demand increased in the course of the pandemic. In areas with high car ownership, ride‐pooling demand declined compared to pre‐pandemic times.
Overcome the future environmental challenges through sustainable and renewable energy resources
Authors: Bhuiyan Mohammad Ruhul Amin
Published: October 2022

The necessity to achieve global sustainability and renewable energy resources to overcome the threat of climate change has led to unparalleled social and economic alterations ubiquitous throughout the world. The environment surrounding pollution correlated with global warming is essential to technological advances for developing energy resources. Renewable and sustainable energy resources are eco‐friendly energy sources that transform heat directly into electrical energy. The transformation of the global energy system underway in various countries can play a predominant role in power sectors. It helps in establishing a low‐power solution with high performance in advance. This review paper highlights technological feasibility within the economic activity of sustainable resources in various sectors. The sustainable resource would represent the world's most advanced technology and cost‐effective global power transition pathway. The present status, prospects, and updated information about these energy resources have been discussed in detail. This review provides a recommendation on which energy would be suitable for electrical energy generation and would establish a green environment for the next generation to survive in the world.
Testing the energy efficiency of CHP engines and cost‐effectiveness of biogas plant operation
Authors: Slavica Prvulovic , Ivica Micic , Dragica Radosav , Milios Josimovic , Slobodan Juric , Vladislav Novakov
Published: October 2022

This work presents Combined Heat and Power (CHP) gas engine factory as one of the possible solutions for cogeneration in the industry which has high values of electrical and total efficiency, and the electrical efficiency relatively changes little with the change in power of the plant. The cost‐effectiveness of such a plant is significant to the supply of industrial consumer electricity from the grid, and heat from the factory boiler. A problem in assessing the cost‐effectiveness of using such a plant is that it uses more fuel here than in the case of energy supply from the boiler room factory and electrical distribution networks. In this case, the price of fuel and electricity as well as the level of placement of thermal energy, as shown here, determines the cost‐effectiveness of the plant. The final decision on the application of the CHP plant must be preceded by a careful technical analysis of the plant and energy system as well as a financial analysis of the selected case. Due to errors that occurred in practice, this paper aimed to point out the basic problems in choosing the power and mode of operation of these plants.
Multiple objective optimisation for antenna diversity on airborne platforms
Authors: Emmett Christian B. , Flint James A. , Seager Robert D.
Published: October 2022

Vehicles such as automobiles, ships, satellites, and aircraft have a limited amount of physical space to install antennas for communications and navigation systems. This is exacerbated by the use of modern materials, like carbon fibre, and that large areas of the vehicles structure cannot be used to mount antenna, due to aerodynamic or other requirements. Therefore, it is necessary to be able to quickly and accurately find the optimum locations to mount a number of antenna systems, in a restricted space, whilst considering a number of different and sometimes contradictory antenna performance parameters. Thus, defining the optimum antenna locations is a multi‐objective problem (MOP) and lends itself to the use of multi‐objective evolutionary algorithms (MOEA). This paper presents a MOEA methodology that can be used to accurately, quickly, and robustly define the antenna locations. It will also define an appropriate MOEA and the fitness functions for predicting the radio frequency (RF) interoperability/mutual coupling between antenna systems and antenna RF radiation pattern installed performance.
Periodic orbits of multiplicity higher than one in an N-body barred galaxy potential
Authors: Wang Y. , Athanassoula E. , Patsis P. , Mao S.
Published: October 2022

Aims. Periodic orbits (POs) have been exhaustively studied. On the contrary, to our knowledge, no complete and systematic study of higher-multiplicity (ℳ) POs, that is, orbits that close after more than one revolution in phase space, exists. Here, we fill this gap and also extend the standard tools used for studies of the x1 POs to studies of higher multiplicity POs.

Methods. We adopted a multi-aspect approach, using surfaces of section, stability diagrams, characteristic diagrams, studies of the shapes of individual orbits, and other properties of the POs. We modified and extended the standard tools used for ℳ = 1, to ℳ > 1 cases, allowing them to use the snapshot information more fully. Our potential is more realistic than those of most previous studies, as it is obtained directly from a snapshot of a fully self-consistent, high-resolution numerical simulation.

Results. We find five main pairs of PO families with ℳ = 2. Two of these bifurcate from the x1 family and are direct rotators, and one bifurcates from the x4 family and rotates retrograde. We suggest that the remaining families do not bifurcate, but form parts of bubbles. The POs of the x1 family have four-fold symmetry, while all the ℳ = 2 POs have only two-fold symmetry, with respect to either the x or the y axis. Furthermore, two orbits of the same Jacobi constant and from families of the same PO pair are mirror images of each other. Thus, by considering them together, it is possible to achieve four-fold symmetry. All results obtained here will be used in a following paper to study the effect of including ℳ orbits in the disc. We also show that a given family can include orbits of more than one multiplicity.
A traça-da-uva, Lobesia botrana, na Região Demarcada do Douro: Efeito da sub-região, ano, geração e casta, na intensidade do ataque da praga
Authors: Almeida Ana Catarina , Carlos Cristina , Salvação Juliana , Ferreira Ana Rita , Oliveira Irene , Nave Anabela , Torres Laura , Gonçalves Fátima
Published: October 2022

A traça-da-uva, Lobesia botrana, é praga-chave da vinha na Região Demarcada do Douro (RDD). A sua importância económica, a par da necessidade de reduzir o uso de inseticidas de síntese na vinha, conferem relevância ao desenvolvimento de estratégias de proteção contra a praga, alternativas aos meios químicos. Incluem-se nestas estratégias, a seleção das castas, as medidas culturais e a confusão sexual. O seu adequado uso obriga a um aprofundado conhecimento do comportamento do inseto em relação a diversos parâmetros biológicos. Com o presente trabalho, pretendeu-se, através da análise de dados recolhidos entre 2000 e 2019, estudar a influência, na intensidade do ataque de L. botrana, na RDD, da sub-região, ano, geração e casta. Os resultados mostraram que, a intensidade do ataque da praga: i) foi, em geral, inferior no Douro Superior, comparativamente, quer ao Cima Corgo quer ao Baixo Corgo; ii) diferiu entre anos, na dependência das condições climáticas, mas tendencialmente diminuiu ao longo dos anos; iii) na primeira geração, em geral manteve-se em valores inferiores ao nível económico de ataque, enquanto nas restantes gerações se situou entre os limites estabelecidos para o mesmo (i.e. 1 – 10% cachos atacados); iv) as castas ‘Touriga Franca’, no caso das castas tintas, e ‘Malvasia Fina’, no caso das castas brancas foram, de entre as estudadas, as tendencialmente mais atacadas.
Sourire et émotions
Authors: Huguenin Carole
Published: October 2022

Décodage et interprétation du sourire confirment qu'il est la conséquence des émotions positives.

Il témoigne et évoque le plus souvent le plaisir ou la joie.

Le sourire dans la communication fait partie de la communication non verbale de manière très importante. Son interprétation peut se retrouver dans les différentes cultures au travers les siècles.
Le sourire, de l'esthétique à la fonction : le revers de la médaille
Authors: Ragueneau Charlotte
Published: October 2022

Si la satisfaction immédiate de nos patients est dépendante du résultat esthétique, la pérennité et le confort de nos traitements sont étroitement liés à la fonction. En amont de toute intervention, on effectue de façon parallèle une analyse esthétique du visage, du sourire, des dents, du parodonte et une analyse fonctionnelle de la phonation et de l'occlusion. Les dents du sourire présentent une singulière dualité : leur face vestibulaire est la vitrine du sourire, vectrice de personnalité tandis que leur face palatine, guide antérieur de l'occlusion aura un rôle de protection des molaires. Le positionnement des incisives se fait donc à la confluence de ces deux concepts.
Long Covid: Ursachen sprechen für den therapeutischen Einsatz von Antioxidantien
Authors: Vollbracht Claudia , Herget Harald
Published: October 2022

Hyperinflammation und oxidativer Stress spielen nicht nur bei akuter Covid-19-Erkrankung, sondern auch bei Long Covid eine wichtige pathophysiologische Rolle. Bei Covid-19 wurde ein Vitamin-C-Mangel nachgewiesen und der Benefit von supportiven Vitamin-C-Infusionen bereits untersucht. Bei Long Covid sind die überschießende Entzündung und reaktive Sauerstoffverbindungen ebenfalls Mitauslöser für Fibrosen, Thrombosen, Immun-Dysregulation (Autoimmunphänomene und Virenpersistenz), Fatigue, kognitive Beeinträchtigungen und Störungen des autonomen Nervensystems. Der Benefit von Vitamin-C-Infusionen – wie die Linderung von Fatigue, kognitiven Störungen und Schmerzen – ist bereits bei anderen Grunderkrankungen gut untersucht. Vitamin C ist eines der effektivsten Antioxidantien, Kofaktor relevanter Stoffwechselwege und ein wichtiger Immunmodulator. Der therapeutische Einsatz bei Long Covid ist deshalb sehr plausibel und wird durch praktische Erfahrung bestätigt.
Ozontherapie zur Behandlung des Post-Covid-Syndroms
Authors: Feldhaus Simon
Published: October 2022

Das Post-Covid-Syndrom stellt eine komplexe Erkrankung dar, die allerdings durch einen integrativen Behandlungsansatz in der kombinierten Anwendung mit individuellen orthomolekularen Substanzen erfolgreich therapiert werden kann. Wichtig ist eine Aufklärung über die Hintergründe der Symptome und die Notwendigkeit einer integrativen Behandlung zu einem möglichst frühen Zeitpunkt. Beim Epstein-Barr-Virus sind ähnliche Verläufe bekannt, ohne dass dies zu entsprechenden medialen angsterzeugenden Darstellungen führt. Im Rahmen eines multimodalen Behandlungsansatzes, gestützt auf eine individuelle Labordiagnostik, stellt die Ozontherapie eine wichtige Basismaßnahme dar. Die Verträglichkeit ist sehr gut und zeigt im Sinne der Regulationsmedizin modulatorische Effekte auf immunologische Faktoren. Weiterhin werden antioxidative Kapazitäten verbessert.
Höhentraining als Therapieoption bei Post- oder Long-Covid-Syndrom
Authors: Biallowons Ruth
Published: October 2022

Dass Long Covid mit vordergründigem Erschöpfungssyndrom von einer Vielzahl von Ärzten als rein psychosomatisch eingestuft wird, wirft viele Erkrankte zurück und fördert die Entwicklung einer Chronifizierung. Patienten fühlen sich nicht ernst genommen und auch nicht zielführend untersucht. Da postvirale Erschöpfung dazu führt, dass selbst kleinste Alltagstätigkeiten nicht oder nur erschwert durchgeführt werden können, müssen die Patienten einer effizienten Therapie zugeführt werden. Das Höhentraining oder IHHT (Intervall-Hypoxie-Hyperoxie-Therapie) gilt als bewährte Methode zur Steigerung der Leistungsfähigkeit im Leistungssport und wird in der Praxis beim Post-Covid-Syndrom eingesetzt mit dem Ziel, die individuelle Regulationsfähigkeit wiederherzustellen. Der Beitrag zeigt die Praxiserfahrung der IHHT-Anwendung in den letzten 2 Jahren in der Praxis Biallomed in Düsseldorf.
Aktueller Stand Long Covid
Authors: Grabmann Sonja
Published: October 2022

Zu Beginn der Covid-19-Pandemie war es die akute Infektion, die im Fokus des Interesses lag, doch der Blickwinkel hat sich geändert. Nach der Infektion können bei den Betroffenen Beeinträchtigungen sowohl auf körperlicher als auch auf geistiger Ebene bestehen bleiben – das sog. „Long-Covid-Syndrom“ oder „Post-Covid-Syndrom“. Das Gesundheitswesen forscht zu Ursachen und Therapiemöglichkeiten. In der Praxis hat sich gezeigt, dass bisher gut etablierte naturheilkundliche Verfahren einen positiven Beitrag zur Therapie von Patienten mit Long Covid leisten. Gerade die Kombination von Schulmedizin und Naturheilkunde im Sinne eines integrativen Therapieansatzes kann ein breites Spektrum zielgerichteter Behandlungsmaßnahmen bieten, die dem Ausmaß der von Patienten als zum Teil sehr belastend empfundenen Folgen der Covid-19-Infektion mit seiner Bandbreite an Symptomen gerecht werden könnte.
Sudden Unexpected Death in Epilepsy: Pathogenesis, Risk Factors, and Prevention
Authors: Haridas Babitha , Chuang David T. , Nei Maromi , Kang Joon Y.
Published: October 2022

Sudden unexpected death in epilepsy (SUDEP) is a tragic and unexpected cause of death in patients with a known diagnosis of epilepsy. It occurs in up to 6.3 to 9.3/1,000 patients with drug-resistant epilepsy. The main three risk factors associated with SUDEP are the presence of generalized tonic–clonic seizures, the presence of a seizure in the past year, and an intellectual disability. There are several mechanisms that can result in SUDEP. The most likely sequence of events appears to be a convulsive seizure, overactivation of the autonomic nervous system, cardiorespiratory dysfunction, and death. While the risk of SUDEP is relatively high in patients with drug-resistant epilepsy, studies indicate that more than 50% of patients and caregivers are unaware of the diagnosis. Counseling about the diagnosis and preventative measures at the time of diagnosis is important. There are numerous interventions that may reduce the risk of SUDEP, including conservative measures such as nocturnal surveillance with a bed partner (where applicable) and automated devices. Optimizing seizure control with antiseizure medications and surgical interventions can result in a reduced risk of SUDEP.
Relative Importance of Applicant Characteristics in Ophthalmology Residency Interview Selection: A Survey of Program Directors
Authors: Cohen Samuel A. , Pershing Suzann
Published: October 2022

Introduction Ophthalmology residency positions remain competitive. A lack of clarity regarding which residency selection criteria are prioritized by program directors can heighten the stress associated with the match process. While surveys of program directors in several other medical specialties have been conducted to identify the most important residency selection criteria, there is limited data on selection criteria used by ophthalmology residency program directors. The purpose of our study was to survey ophthalmology residency program directors to identify the current state of interview selection decisions—the factors currently considered most important in determining whether to extend an interview invitation to residency applicants.

Methods We developed and distributed a Web-based questionnaire to all U.S. ophthalmology residency program directors. Questions evaluated program demographics and the relative importance of 23 different selection criteria used by ophthalmology residency program directors when evaluating applicants for residency interviews (Likert scale 1–5, with 1 being “not important” and 5 being “very important”). Program directors were also asked to identify the one factor they felt was most important.

Results The overall residency program director response rate was 56.5% (70/124). The selection criteria with the highest average importance scores were core clinical clerkship grades (4.26/5) followed by letters of recommendation (4.06/5), and United States Medical Licensing Examination (USMLE) Step 1 score (4.03/5). The most frequently cited single most important factor for interview selection was core clinical clerkship grades (18/70, 25.7%), with USMLE Step 1 score (9/70, 12.9%) and rotations at the program director's department (6/70, 8.6%) also commonly reported.

Conclusion Our results suggest that core clinical clerkship grades, letters of recommendation, and USMLE Step 1 scores are deemed the most important selection criteria by ophthalmology residency program directors as of a 2021 survey. With changes in clerkship grading for many medical schools and changes in national USMLE Step 1 score reporting, programs will face challenges in evaluating applicants and the relative importance of other selection criteria will likely increase.
The Impact of an Organization-Wide Electronic Health Record (EHR) System Upgrade on Physicians' Daily EHR Activity Time: An EHR Log Data Study
Authors: Wong Lori , Sexton Kevin W. , Sanford Joseph A.
Published: October 2022

Objective This article assesses the impact of a health care organization's electronic health record (EHR) upgrade on providers' daily EHR activity time.

Methods Daily EHR activity time (minutes/day) was acquired through EHR log data that automatically tracks user activity. Subjects were attending and resident physicians in the departments of family medicine, hospitalist medicine, and the neonatal intensive care unit working in the inpatient setting. The EHR upgrade occurred in August 2020, and the comparison groups were pre-upgrade (May 31, 2020–July 25, 2020) and post-upgrade (August 30, 2020–October 31, 2020). A two-tailed, two-sample t-test was used to assess statistical significance.

Results The pre-upgrade group had 146 users, and the post-upgrade group had 140 users. There was no statistically significant difference between the pre-upgrade group (mean (M): 104.74 minutes/day, standard deviation [SD]: 70.64) and post-upgrade group (M: 103.38 minutes/day, SD: 64.77), even after splitting the data by user type and user type and department.

Conclusion This study showed no significant difference in daily EHR activity time post-upgrade. More research is needed to truly understand the impact of EHR upgrades on user efficiency. Understanding the content of each upgrade might be key in understanding their effect on users, and we hope to explore that in the future.
Design of inverse multiquadric radial basis neural networks for the dynamical analysis of wire coating problem with Oldroyd 8-constant fluid
Authors: Butt Zeeshan Ikram , Ahmad Iftikhar , Shoaib Muhammad
Published: October 2022

Wire coating is a commercial method to insulate wires for mechanical intensity and environmental protection. In this experimental study, the technique of computational intelligence is used for nonlinear wire coating analysis by soaking the wires in Oldroyd 8-constant fluid under a constant pressure gradient with the help of feed forward artificial neural networks (ANNs). The system of partial differential equations generated for the process of wire coating is transformed into a nonlinear dimensionless ordinary differential equation. One of the salient features of ANNs is the mathematical modeling of transformed equations by exploring the unsupervised error. A new scheme based on inverse multiquadric neural networks (IMQNNs) is used with a hybridization process of well-known genetic algorithms (GAs) and sequential quadratic programming (SQP) to obtain expeditious convergence, i.e., IMQNNs-GA-SQP. The applicability of the problem is investigated by altering the values of the dilatant constant, pressure gradient, shear stress, and pseudo-plastic constant, the outcome of which is in the form of varying polymer coating thickness. Comparison of highly accurate results in the shape of error analysis based on absolute errors of obtained results with those of the reference solution, calculated using the Adams numerical technique using MATHEMATICA software, statistical analysis such as root-mean-square error, Theil’s coefficient for inequality, E-R2 (error function based on the coefficient of determination), E-VAF (variance accounted for), E-NSE (Nash–Sutcliffe efficiency), mean absolute error, box plot analyses, and the cumulative distributive function through histogram analyses, is also carried out in this research, which guarantees the effectiveness of the used scheme.
Stability and formation process of hydrogen-bonded organic porous thin films: A molecular dynamics study
Authors: Matsui K. , Watanabe H. , Shimizu T. K.
Published: October 2022

Molecular dynamics simulation using the reactive force field was performed to investigate the stability and formation mechanisms of organic porous thin films made of 1,3,5-tris(4-carboxyphenyl) benzene (BTB) molecules fabricated at the air/water interface. A single-layer honeycomb structure is found to be unstable, whereas thicker films are stable, which is consistent with experimental findings. The slight corrugation of the existing film produces local charge variation that attracts isolated molecules via the Coulomb interaction. When the isolated molecule approaches the film, a hydrogen bond is formed, and then the molecule adjusts the adsorption configuration by itself to maximize both horizontal and vertical intermolecular interactions. The key to the initial hydrogen bond formation is suggested to be the density of the molecules provided in the system as well as the spontaneous alignment of the BTB molecules to the solution/water interface. Our study showed that the BTB film is stable, and the molecules are self-assembled without external forces in the quasi-two-dimensional system. These results suggest that the dominant factor for the film formation at the air/water interface is interactions among BTB molecules and confinement to the two-dimensional space.
Can dogs increase children’s attention and concentration performance? A randomised controlled trial.
Authors: Hediger Karin , Turner Dennis C.
Published: October 2022

Many practitioners report that the presence of an animal, or interaction with an animal, increases the attention and concentration of children, elderly persons or patients. Previous studies support this impression via indirect variables, but direct effects on children’s attention performance have not yet been measured. We therefore designed a study that used neuropsychological concentration tasks to test the effect of the presence of dogs, and contact with dogs, on children’s performance. In a randomised, controlled crossover trial, 24 children between 10-14 years completed a memory task and three neuropsychological attention tests. We also used passive infrared hemoencephalography (PIR HEG) to assess a biological correlate of attention. The children interacted with either a trained therapy dog or the robotic dog AIBO for 15 minutes before they completed the tests. We found that the learning effect in the memory test, as well as in the neuropsychological attention test “Cancellation Screen”, was significantly enhanced (
p
= 0.021) when children were in the presence of, or interacted with the dog. No such effect was found in the two attention tests, “Continuous Performance Test” and “Divided Attention Bimodal”. In the presence of the robotic dog, attention processes measured in frontal brain activity, via PIR HEG, were significantly reduced over time during the test “Divided Attention Bimodal” (
p
< .001). These processes did not decrease in the presence of the real dog. We found no such difference during the two other attention tests. Moreover, the PIR HEG signal was significantly higher in general in all three attention tests in the presence of the dog. We conclude that interacting with a dog, or the presence of a dog, may increase children’s attention and concentration performance.