bluuebunny/crossref_metadata_2025 huggingface dataset:
Molecular characterization of influenza virus circulating in Nepal in the year 2019
Authors: Mehta Rachana , Jha Bimalesh Kumar , Awal Balkrishna , Sah Ranjit , Shrestha Lilee , Sherpa Chhoting , Shrestha Smriti , Jha Runa
Published: May 2024

Influenza (sometimes referred to as “flu”) is a contagious viral infection of the airways in the lungs that affects a significant portion of the world's population. Clinical symptoms of influenza virus infections can range widely, from severe pneumonia to moderate or even asymptomatic sickness. If left untreated, influenza can have more severe effects on the heart, brain, and lungs than on the respiratory tract and can necessitate hospitalization. This study was aimed to investigate and characterize all types of influenza cases prevailing in Nepal and to analyze seasonal occurrence of Influenza in Nepal in the year 2019. A cross sectional, retrospective and descriptive study was carried out at National Influenza Center (NIC), National Public Health Laboratory Kathmandu Nepal for the period of one year (Jan–Dec 2019). A total of 3606 throat swab samples from various age groups and sexes were processed at the NIC. The specimens were primarily stored at 4 °C and processed using ABI 7500 RT PCR system for the identification of Influenza virus types and subtypes. Data accessed for research purpose were retrieved from National Influenza Centre (NIC) on 1st Jan 2020. Of the total 3606 patients suspected of having influenza infection, influenza viruses were isolated from 1213 (33.6%) patients with male predominance. The highest number of infection was caused by Influenza A/Pdm09 strain 739 (60.9%) followed by Influenza B 304 (25.1%) and Influenza A/H3 169 (13.9%) and most remarkable finding of this study was the detection of H5N1 in human which is the first ever case of such infection in human from Nepal. Similar to other tropical nations, influenza viruses were detected year-round in various geographical locations of Nepal. The influenza virus type and subtypes that were in circulation in Nepal were comparable to vaccine candidate viruses, which the currently available influenza vaccine may prevent.
An ab initio molecular dynamics investigation of the behaviour of amorphous substances in anodic aluminium oxide under electric field
Authors: An Zeyu , Sun Shiyang , Dong Binghai
Published: May 2024

In order to elucidate the diffusion behaviour of ions in alumina during the anodic alumina process, the effects of electric field strength, hydration content, and electrolyte on amorphous alumina and hydrated alumina were studied using ab initio molecular dynamics. The results show that the diffusion rate of ions in alumina increases with the increase in electric field strength, but there is an extreme value. The maximum diffusion rate of Al ions in alumina monohydrate is 21.8 μm2/ms/V, while in alumina trihydrate, it is 16.7 μm2/ms/V. The ionic diffusion rate of hydrated alumina is one to two orders of magnitude larger than that of anhydrous amorphous alumina due to the effect of the drag of H ions, which reduces the migration activation energy. Electrolytes also affect the diffusion rate of alumina through the action of H ions. The increase in H ions will not only enhance the diffusion rate of hydrated alumina but also render the hydrous compound more vulnerable to breakdown.
Application of an improved wide–narrow-band hybrid ANC algorithm in a large commercial vehicle cabine
Authors: Su Jintao , Nie Jinquan , Chen Shuming
Published: May 2024

In recent years, active noise reduction technology has become a research hotspot. However, most active noise reduction technologies are developed based on passenger vehicles and are not implemented in large commercial vehicles. The large commercial vehicle sound field space is large, the traditional active noise reduction method is difficult to implement. In order to explore this problem, this paper proposes an improved active noise control method for commercial vehicles: (1) based on the traditional notch filter, a notch FxLMS algorithm based on speed smoothing is proposed; (2) on the basis of the traditional wire–narrowband hybrid ANC algorithm, the reference signal weighting technology is introduced into the wide-band subsystem, and the notch FxLMS algorithm based on speed smoothing is used as the narrowband subsystem, so as to propose an improved wire-narrowband hybrid ANC algorithm. With the help of MATLAB, the simulation model of the designed algorithm is established, and the collected commercial vehicle test noise data is used as the reference signal to simulate and verify the proposed algorithm. The results show that the proposed method has certain practicability.
Ultrasonography of the normal donkey tarsus (equus asinus)
Authors: Almohamad Zakriya
Published: May 2024

Tarsal joint illness is a frequent source of hind limb lameness due to the complex anatomy of the region and the presence of numerous bony and soft tissue structures. Proper lameness diagnosis aims to discover the structure provoking lameness. Ultrasonography documents valuable information of soft tissues and characterizes soft tissue injuries that have heretofore been difficult to obtain either noninvasively or via radiography. The objectives of the current study were to develop and describe a standardized ultrasonographic protocol for investigation of the tarsal region in donkeys. The donkey tarsal anatomy was investigated in 5 cadavers and the tarsi of 11 healthy lameness free adult donkeys were echographically investigated. The dorsal, plantar, lateral and medial aspects of the tarsal region were substantially evaluated at four anatomical landmarks in both the longitudinal and horizontal planes using a multi-frequency 5–12 MHz linear transducer. Sonoanatomy of the extensor and flexor tarsal tendons, collateral and plantar ligaments, and synovial pouches was delineated and described. Systematic echography of the tarsal region allowed accurate localization and thorough exploration of various soft tissues of clinical interest in the donkey tarsus. Sonograms provided in this study should serve as a reference database for tarsal ultrasonography in clinical circumstances.
Multicriteria optimization of the composition, thermodynamic and strength properties of fly-ash as an additive in metakaolin-based geopolymer composites
Authors: Le Van Su , Sharko Artem , Sharko Oleksandr , Stepanchikov Dmitry , Buczkowska Katarzyna Ewa , Louda Petr
Published: May 2024

This paper presents the construction of intelligent systems for selecting the optimum concentration of geopolymer matrix components based on ranking optimality criteria. A peculiarity of the methodology is replacing discrete time intervals with a sequence of states. Markov chains represent a synthetic property accumulating heterogeneous factors. The computational basis for the calculations was the digitization of experimental data on the strength properties of fly ashes collected from thermal power plants in the Czech Republic and used as additives in geopolymers. A database and a conceptual model of priority ranking have been developed, that are suitable for determining the structure of relations of the main factors. Computational results are presented by studying geopolymer matrix structure formation kinetics under changing component concentrations in real- time. Multicriteria optimization results for fly-ash as an additive on metakaolin-based geopolymer composites show that the optimal composition of the geopolymer matrix within the selected variation range includes 100 g metakaolin, 90 g potassium activator, 8 g silica fume, 2 g basalt fibers and 50 g fly ash by ratio weight. This ratio gives the best mechanical, thermal, and technological properties.
YANK2 activated by Fyn promotes glioma tumorigenesis via the mTOR-independent p70S6K activation pathway
Authors: Shi Yue , Cheng Yue , Wang Wei , Tang Liu , Li Wensheng , Zhang Liyuan , Yuan Zheng , Zhu Feng , Duan Qiuhong
Published: May 2024

Glioma, particularly glioblastomas (GBM), is incurable brain tumor. The most targeted receptor tyrosine kinase (RTKs) drugs did not bring benefit to GBM patients. The mechanism of glioma growth continues to be explored to find more effective treatment. Here, we reported that Ser/Thr protein kinase YANK2 (yet another kinase 2) is upregulated in glioma tissues and promotes the growth and proliferation of glioma in vitro and in vivo. Further, we confirmed that oncogene Fyn directly activated YANK2 through phosphorylation its Y110, and Fyn-mediated YANK2 phosphorylation at Y110 site promotes glioma growth by increasing its stability. Finally, YANK2 was proved to be a novel upstream kinase of p70S6K and promotes glioma growth by directly phosphorylating p70S6K at T389. Taken together, we found a new mTOR-independent p70S6K activation pathway, Fyn-YANK2-p70S6K, which promotes glioma growth, and YANK2 is a potential oncogene and serves as a novel therapeutic target for glioma.
Predicting vehicle travel time on city streets for trip preplanning and predicting heavy traffic for proactive control of street congestion
Authors: Nofal Samer
Published: May 2024

We investigate if the vehicle travel time after 6 h on a given street can be predicted, provided the hourly vehicle travel time on the street in the last 19 h. Likewise, we examine if the traffic status (i.e., low, mild, or high) after 6 h on a given street can be predicted, provided the hourly traffic status of the street in the last 19 h. To pursue our objectives, we exploited historical hourly traffic data from Google Maps for a main street in the capital city of Jordan, Amman. We employ several machine learning algorithms to construct our predictive models: neural networks, gradient boosting, support vector machines, AdaBoost, and nearest neighbors. Our experimental results confirm our investigations positively, such that our models have an accuracy of around 98–99% in predicting vehicle travel time and traffic status on our study’s street for the target hour (i.e., after 6 h from a specific point in time). Moreover, given our time series traffic data and our constructed predictive models, we inspect the most critical indicators of street traffic status and vehicle travel time after 6 h on our study’s street. However, as we elaborate in the article, our predictive models do not agree on the degree of importance of our data features.
Parameter free AEWMA control chart for dispersion in semiconductor manufacturing
Authors: Zaagan Abdullah A. , Khan Imad , Alzahrani Ali Rashash R. , Ahmad Bakhtiyar
Published: May 2024

The study presents a new parameter free adaptive exponentially weighted moving average (AEWMA) control chart tailored for monitoring process dispersion, utilizing an adaptive approach for determining the smoothing constant. This chart is crafted to adeptly detect shifts within anticipated ranges in process dispersion by dynamically computing the smoothing constant. To assess its effectiveness, the chart’s performance is measured through concise run-length profiles generated from Monte Carlo simulations. A notable aspect is the incorporation of an unbiased estimator in computing the smoothing constant through the suggested function, thereby improving the chart’s capability to identify different levels of increasing and decreasing shifts in process dispersion. The comparison with an established adaptive EWMA-S2 dispersion chart highlights the considerable efficiency of the proposed chart in addressing diverse magnitudes of process dispersion shifts. Additionally, the study includes an application to a real-life dataset, showcasing the practicality and user-friendly nature of the proposed chart in real-world situations.
Low yield stress measurements with a microfluidic rheometer
Authors: Kavishvar Durgesh , Ramachandran Arun
Published: May 2024

The microfluidic extensional flow device (MEFD) exhibits stagnation at the center for yield stress fluids, in contrast to Newtonian fluids. This enables cost-effective and rapid measurement of low yield stresses, attracting wide applications.
Aggregation-induced emission photosensitizer for antibacterial therapy of methicillin-resistant Staphylococcus aureus
Authors: Kong Lin , Zhang Rongyuan , Gong Junyi , Wang Huan , Zhai Lingyu , Dang Dongfeng , Liu Qian , Zhao Zheng , Tang Ben Zhong
Published: May 2024

A cationic AIE-PS, MNNPyBB damages membrane/wall of methicillin-resistant bacteria. Wound closure was achieved with normal re-epithelialization and preserved skin morphology. This study facilitates the structural regulation, performance modulation of broad-spectrum antibiotics.
Mixture of hydrogen and methane under planetary interior conditions
Authors: Roy Argha Jyoti , Bergermann Armin , Bethkenhagen Mandy , Redmer Ronald
Published: May 2024

DFT-MD simulations of the CH4–H2 mixture studied under icy-planetary conditions suggest a phase transition from molecular to polymer region with liberation of hydrogen leading to a non-metallic to metallic transition, fulfilling the LMA within 4%.
Theoretical insights into dopamine photochemistry adsorbed on graphene-type nanostructures
Authors: Farcaş Alex-Adrian , Bende Attila
Published: May 2024

The electronically excited states of dopamine and dopamine-o-quinone adsorbed on graphene-type nanostructures present different charge transfer behaviours, first shows molecule-to-surface, while for the second, surface-to-molecule character.
Spin Hall effect modulated by an electric field in asymmetric two-dimensional MoSiAs2Se
Authors: Xing Jinhui , Wu Chao , Li Shiqi , Chen Yuanping , Zhang Lizhi , Xie Yuee , Yuan Jiaren , Zhang Lichuan
Published: May 2024

By introducing an electric field, we demonstrated that the spin Hall effect can be modulated owing to the interplay of the Rashba and valley effects in an asymmetric system.
Anti-plasticizing effect of water on prilocaine and lidocaine – the role of the hydrogen bonding pattern
Authors: Xu Xiaoyue , Grohganz Holger , Rades Thomas
Published: May 2024

This study showed that the combination of weak hydrogen bonding and strong electrostatic contributions in hydrated PRL and LID could play an important role in inducing the anti-plasticizing effect of water on those drugs.
Iridium(iii) complexes conjugated with naproxen exhibit potent anti-tumor activities by inducing mitochondrial damage, modulating inflammation, and enhancing immunity
Authors: Xie Kai , Lu Xing-Yun , Zhu Hou , Zhu Lin-Yuan , Li Rong-Tao , Ye Rui-Rong
Published: May 2024

Novel Ir(iii)–naproxen (NPX) conjugates exhibit synergistic biological activity through anti-inflammatory, anti-metastasis, induction of apoptosis and immunotherapy.
Synergy of a CuO/C3N4 interface and CuO nanoparticles in the ethynylation of formaldehyde for 1,4-butynediol synthesis
Authors: Sun Wei , Cui Lifeng , Zhou Danyang
Published: May 2024

Catalysts made of CuO/Bi2O3 nanoparticles supported on g-C3N4 were synthesized using a MOF-derived strategy in the ethynylation of formaldehyde for 1,4-Butynediol synthesis.
N/P-doped NiFeV oxide nanosheets with oxygen vacancies as an efficient electrocatalyst for the oxygen evolution reaction
Authors: Zhang Jingyuan , Ma Zhen , Wang Lanqi , Ni Hui , Yu Jianing , Zhao Bin
Published: May 2024

An N/P-doped NiFeV oxide nanosheet catalyst (N/P-NiFeVO) is constructed by plasma treatment as an efficient electrocatalyst for the oxygen evolution reaction.
Simultaneous discovery of chiral and achiral dyes: elucidating the optical functions of helical and flag-hinged boron tetradentate complexes
Authors: Cui Luxia , Furuta Ryoji , Harada Takunori , Konta Takeru , Hoshino Yu , Ono Toshikazu
Published: May 2024

Coordination-induced two boron families were simultaneously achieved. One B–O–B bridged complex exhibits a helical conformation for chiroptical response. Utilizing dimethylaminobenzene as a proton sensor endows luminescence color/intensity change.
In-line HPLC-ICP-MS method for the rapid speciation and quantification of metal constituents in cell culture media
Authors: Stouffer Cameron J. , Wysor Sarah K. , Marcus R. Kenneth
Published: May 2024

Cell culture media (CCM) contain multiple metal nutrients in diverse chemical forms. A rapid method is developed to perform first-level (inorganic vs. ligated) speciation employing a novel polymer fiber chromatography column and ICP-MS.
Synthesis and characterization of hollow dual-tube MOF hybrid nanocomposites for electroanalytical applications
Authors: Wang Junfeng , Tian Shuyue , Pan Sihua , Zhang Yujuan , Sun Wang , Wang Yang
Published: May 2024

This study provides a nano-synergistic engineering for the controllable assembly of hollow dual-tube MOF composite to detect dopamine, which exhibits excellent linearity range with a detection limit as low as 0.02 μmol L−1.
Correction: Nickel-catalyzed γ-alkylation of cyclopropyl ketones with unactivated primary alkyl chlorides: balancing reactivity and selectivity via halide exchange
Authors: Wang Zhen-Ying , Liu Shi-Zheng , Guo Cong , Cheng Yi-Zheng , Li Qiang , Dou Jianmin , Li Dacheng
Published: May 2024

Correction for ‘Nickel-catalyzed γ-alkylation of cyclopropyl ketones with unactivated primary alkyl chlorides: balancing reactivity and selectivity via halide exchange’ by Zhen-Ying Wang et al., RSC Adv., 2024, 14, 12883–12887, https://doi.org/10.1039/D4RA02616K.
Prevalence of Dysphonia and Dysphagia Among Adults in the United States in 2012 and 2022
Authors: Hong Ickpyo , Bae Suyeong , Lee Ho Kyung , Bonilha Heather Shaw
Published: May 2024

Purpose:

The purpose of this study was to compare the prevalence of dysphonia and dysphagia among adults in the United States between 2012 and 2022.

Method:

A retrospective and cross-sectional design with national surveys was used. The 2012 and 2022 National Health Interview Surveys were utilized to estimate the number of adults reporting dysphonia and dysphagia in the past 12 months. Multivariate logistic regression models were used to examine associations between the survey year (2022 vs. 2012) and the prevalence rate of dysphonia and dysphagia while accounting for demographics and clinical characteristics.

Results:

The population-estimated mean age was 46.63 years in 2012, which increased to 48.12 years in 2022. In 2012, adults reporting dysphonia and dysphagia were 17.89 million (7.62%) and 9.44 million (4.02%), respectively. In 2022, these estimates increased to 29.92 million adults (11.71%) and 15.10 million adults (5.91%), respectively. Adults in 2022 had significantly higher odds for reporting dysphonia (odds ratio [
OR
] = 1.602, 95% confidence intervals [CIs] [1.486, 1.726],
p
< .0001) and dysphagia (
OR
= 1.461, 95% CI [1.328, 1.606],
p
< .0001) in the past 12 months compared to adults in 2012.

Conclusions:

The population-estimates indicated that in 2022, dysphonia affected one in 8.5 adults and dysphagia affected one in 17 adults. The increase in prevalence of these disorders should serve as a call-to-action to improve access to care and research for voice and swallowing disorders.
Possible jet contribution to the γ-ray luminosity in NGC 1068
Authors: Salvatore S. , Eichmann B. , Rodrigues X. , Dettmar R.-J. , Becker Tjus J.
Published: May 2024

NGC 1068 is a nearby, widely studied Seyfert II galaxy presenting radio, infrared, X-ray, and γ-ray emission, along with strong evidence for high-energy neutrino emission. Recently, the evidence for neutrino emission was explained in a multimessenger model, whereby the neutrinos originate from the corona of the active galactic nucleus. In this environment, γ-rays are strongly absorbed, so that an additional contribution is necessary, for instance, from the circumnuclear starburst ring. In this work, we discuss whether the radio jet can be an alternative source of the γ-rays between about 0.1 and 100 GeV, as observed by Fermi-LAT. In particular, we include both leptonic and hadronic processes, namely, accounting for inverse Compton emission and signatures from pp as well as pγ interactions. In order to constrain our calculations, we used VLBA and ALMA observations of the radio knot structures, which are spatially resolved at different distances from the supermassive black hole. Our results show that the best leptonic scenario for the prediction of the Fermi-LAT data is provided by the radio knot closest to the central engine. For that to be the case, a magnetic field strength of ∼1 mG is needed as well as a strong spectral softening of the relativistic electron distribution at (1 − 10) GeV. However, we show that neither such a weak magnetic field strength, nor such a strong softening is expected for that knot. A possible explanation for the ∼10 GeV γ-rays could potentially be provided by hadronic pion production in case of a gas density ≳104 cm−3. Nonetheless, this process is not found to contribute significantly to the low-energy end of the Fermi-LAT range. We conclude that the emission sites in the jet are not sufficient to explain the γ-rays across the whole Fermi-LAT energy band.
Stellar Population Astrophysics (SPA) with the TNG
Authors: Jian Mingjie , Fu Xiaoting , Matsunaga Noriyuki , D’Orazi Valentina , Bragaglia Angela , Taniguchi Daisuke , Fang Min , Sanna Nicoletta , Lucatello Sara , Frasca Antonio , Alonso-Santiago Javier , Catanzaro Giovanni , Oliva Ernesto
Published: May 2024

The precise measurement of stellar abundances plays a pivotal role in providing constraints on the chemical evolution of the Galaxy. However, before spectral lines can be employed as reliable abundance indicators, particularly for challenging elements such as helium, they must undergo thorough scrutiny. Galactic open clusters, representing well-defined single stellar populations, offer an ideal setting for unfolding the information stored in the helium spectral line feature. In this study, we characterise the profile and strength of the helium transition at around 10 830 Å (He 10 830) in nine giant stars in the Galactic open cluster Stock 2. To remove the influence of weak blending lines near the helium feature, we calibrated their oscillator strengths (log 𝑔f) by employing corresponding abundances obtained from simultaneously observed optical spectra. Our observations reveal that the He 10 830 in all the targets is observed in absorption, with line strengths categorised into two groups. Three stars exhibit strong absorption, including a discernible secondary component, while the remaining stars exhibit weaker absorption. The lines are in symmetry and align with or near their rest wavelengths, suggesting a stable upper chromosphere without a significant systematic mass motion. We find a correlation between the He 10 830 strength and the Ca II log R′HK index, with a slope similar to that reported in previous studies on dwarf stars. This correlation underscores the necessity of accounting for the stellar chromosphere structure when employing He 10 830 as a probe for the stellar helium abundance. The procedure of measuring the He 10 830 we developed in this study is applicable not only to other Galactic open clusters but also to field stars, and we plan to use it to map the helium abundance across various types of stars in the future.
Satellite group infall into the Milky Way: Exploring the Crater-Leo case with new HST proper motions
Authors: Júlio Mariana P. , Pawlowski Marcel S. , Tony Sohn Sangmo , Taibi Salvatore , van der Marel Roeland P. , McGaugh Stacy S.
Published: May 2024

Context. Within Λ cold dark matter (ΛCDM) simulations, Milky Way-like galaxies accrete some of their satellite galaxies in groups of 3–5 members rather than individually, and this has been suggested as a possible mechanism driving the formation of satellite planes. Objects accreted in groups are expected to share similar specific total energy and angular momentum, and to also have identical orbital planes and directions.

Aims. Looking at observatio ns of Milky Way satellites, the dwarf galaxies Leo II, IV, V, and Crater II, and the star cluster Crater 1 were proposed to be a vestige of group infall. The suggested ‘Crater-Leo group’ shows a coherent distance gradient and all these objects align along a great circle on the sky. We used proper motion data to investigate whether the phase-space distribution of the members of the proposed group are indeed consistent with group infall.

Methods. To further investigate this possibility, we used Gaia Data Release 3 (DR3) and new Hubble Space Telescope (HST) proper motions – namely, (μα*, μδ) = (−0.1921 ± 0.0514, −0.0686 ± 0.0523) mas yr−1 for Leo IV and (μα*, μδ) = (0.1186 ± 0.1943, −0.1183 ± 0.1704) mas yr−1 for Leo V – to derive accurate orbital properties for the proposed group objects. In addition, we explored other possible members of this putative association.

Results. Leo II, Leo IV, and Crater 1 show orbital properties consistent with those we predict from assuming group infall. However, our results suggest that Crater II was not accreted with the rest of the objects. If confirmed with increasingly accurate proper motions in the future, the Crater-Leo objects would appear to constitute the first identified case of a cosmologically expected, typical group infall event, as opposed to the highly hierarchical Magellanic Cloud system.
Study on the development status and emission levels of methanol vehicles
Authors: Shen Shu , Zhong Chongzhi , Geng Peilin , Yan Feng
Published: May 2024

Based on the research on the development status of methanol vehicles and formaldehyde testing technology at home and abroad, a comparison test was conducted between National V gasoline vehicles and methanol vehicles, and it was found that CO and THC emissions of methanol vehicles are lower than those of gasoline vehicles, NOx emissions are roughly the same as those of gasoline vehicles, and PM emissions are significantly lower; formaldehyde emissions are higher than those of gasoline vehicles. However, the existing testing methods cannot achieve direct and continuous testing of formaldehyde, and there is an urgent need to develop a direct measurement method for formaldehyde and corresponding testing equipment for in-use methanol-fuelled vehicles.
Based on the improved installation gap identification algorithm of the DeepLabV3+ spacer rod replacement robot
Authors: Xu Yurong , Yang Minxiao , Zou Dehua , Fan Shaosheng
Published: May 2024

This paper proposes an improved DeepLabV3+ lightweight algorithm for the identification of installation gaps in spacer replacement robots. By using lightweight MobileNetV3 to extract semantic features of spacer installation gaps, parameters and computational complexity are reduced; Perform dimensionality reduction and dimensionality increase operations on the ASPP module to reduce the number of model parameters; Introduce ECA module to restore the clarity of target boundaries; Use a loss function combining Focal Loss and Dice Loss to enhance segmentation performance. The experimental results show that the improved DeepLabV3+ algorithm improves MIoU, MPA, and prediction speed, while balancing segmentation accuracy and speed, and can effectively segment the installation gap of the spacer.
A rapid unmanned aerial vehicle inspection path planning method based on hybrid heuristic algorithm
Authors: Li Boya , Wu Chenxi , Ding Jian , Zhu Difeng
Published: May 2024

The advancement of unmanned aerial vehicle (UAV) and remote sensing technologies has fueled interest in automatic UAV inspection path planning based on inspection tasks. However, traditional methods suffer from limitations such as manual operation, inability to find optimized paths, and lengthy time consumption. We propose a rapid UAV inspection path planning method using a hybrid heuristic algorithm in this paper. First, real-world data is abstracted into a graph. Then, a hybrid heuristic algorithm is proposed and used to determine an optimal inspection path considering the tasks and power parameters of the UAV. Finally, the total power consumption for the mission is computed to assess UAV battery capacity adequacy. Experimental results demonstrate the effectiveness of our method in terms of both performance and accuracy.
Research on up and down line control method of 500kV live working robot
Authors: Zou Dehua , Li Xiaoyi , Xu Yurong , Wang Xuhong
Published: May 2024

It is a developing trend for transmission line operation robots to replace manual operations in line operation and maintenance. However, the existing on-line methods of robots are complex and inefficient, which seriously affects the progress of the entire operation and maintenance. In order to solve this problem, this paper studies the automatic on-line and off-line control method of live working robot for 500kV transmission lines. Firstly, the on-line and off-line structure of the robot and its operating mechanism are analyzed, and on this basis, the relevant mathematical model is established. Through the analysis of the model, cascade fuzzy PID is used to control the robot’s attitude leveling. Finally, through MATLAB software simulation, the cascade fuzzy PID control effect is the best.
Short-term power load forecasting using informer encoder and bi-directional LSTM
Authors: Tan Shiyu , Yang Yuhao , Zhang Yongxin
Published: May 2024

An innovative model called InE-BiLSTM is proposed here, which combines the Informer Encoder with a bidirectional LSTM (Bi-LSTM) network. The goal is to enhance the precision and efficacy of short-term electricity load forecasting. By integrating the long-term dependency capturing capability of the informer encoder with the advantages of Bi-LSTM in handling dynamic features in time series data, the InE-BiLSTM model effectively addresses complex patterns and fluctuations in electricity load data. The study begins by analyzing the current state of short-term electricity load forecasting, followed by a detailed introduction to the structure and principles of the InE-BiLSTM model. Results of the experiment demonstrate that, compared to the Informer, traditional Bi-LSTM, and Transformer models, the InE-BiLSTM model consistently outperforms them across various evaluation metrics.
Laboratory investigation of dodecylbenzene diffusion from submarine cables
Authors: Liu Zhifeng , Liao Jianping , Yang Weiqi , Gao Fan , Chen Yufei , Zhu Zhiping , Wang Zhenggang
Published: May 2024

Oil-filled submarine cables have come to dominate the reliable delivery of electrical power today, but oil leakage still remain a challenge. This work focuses on the exploring of spill behavior of dodecylbenzene (DDB) after leakage and the detection of DDB. Static and dynamic spill model were established to study the spreading and migration behavior of underwater DDB. In still water, the spilled oil droplets can quickly reach the uniform floating speed of 0.13 m s-1 with no significant change under different oil spill rates. DDB can be dispersed as small droplets in seawater, which the diameter of DDB droplets increased from 60 nm to 200 nm with the increase of the concentration from 10 ppm to 1000 ppm. This study suggests a research basis for finding the leakage point of submarine cables, and explores the way for detection of DDB.
Analysis of the front carrier stability considering real-time offset of the spreader
Authors: Wang Huiwu , Jiang Yu , Zhou Chunguo , Yuan Qingyang , Zhang Pan
Published: May 2024

Frontal carrier is often used to stack and transfer containers at freight terminals or inland transfer stations, and the requirement of its security is increasing. Since the lifting point is located in front of the vehicle body, it is also necessary to move the spreader left or right in real time to adjust the position of the lifting point during the lifting process. While the boom extends forward and the lifting load is large, the front carrier will be in a state of unbalanced stress, which increases the hidden danger of the front carrier overturning forward. This paper analyzes the influence of spreader offset on the change of overturning line of the frontal carrier while the frontal carrier is lifting a large load, establishes the coefficient to measure the anti-overturning stability of the frontal carrier, calculates the real-time lifting point position of the frontal carrier, and analyzes the spatial force system of the frontal carrier. By comparing the influence of spreader offset on the anti-overturning stability coefficient of the frontal carrier under different typical lifting conditions, this paper analyzes the change of anti-overturning stability coefficient, and gives the stability area diagram under given load, which provides a certain judgment basis for the safe operation of the frontal carrier.
Construction of a prognostic model of lung adenocarcinoma based on machine learning
Authors: Liu Fan , Jin Haonan , Jia Shuaibing , Zhang Leifeng , Li Yingyue , Zhang Jianhua
Published: May 2024

In order to more accurately predict the prognosis and survival of lung adenocarcinoma patients, this paper used the gene expression and clinical information data of lung adenocarcinoma patients in the open database of TCGA to jointly construct a prognosis model of lung adenocarcinoma. Three difference analysis methods and univariate cox regression analysis were used as the preliminary screening method. By comparing the variable selection ability of lasso regression and random survival forest, comparing the performance of cox proportional risk regression model and random survival forest model, and integrating clinical data, a model that can more accurately predict the prognosis of lung adenocarcinoma patients was constructed. After comparison and selection, lasso regression was used to select variables and cox proportional risk model was used as the prediction model. The consistency index of the model reached 0.712. The AUC for 1-year, 3-year and 5-year survival of lung adenocarcinoma patients in the validation set were 0.808, 0.816 and 0.754, respectively. After the fusion of clinical data, the 1-year, 3-year and 5-year survival prediction AUC in the validation set were 0.840, 0.836 and 0.865, respectively, indicating that the model had good predictive performance.
The design and implementation of trajectory planning based on 4 DOF industrial robot
Authors: Wei Yuli
Published: May 2024

With the rapid progress of science and technology, industrial manufacturing and processing technology have also developed rapidly. Industrial robots are widely used in many industrial fields. In this paper, the design and implementation of trajectory planning based on 4 DOF industrial robot is accomplished. Firstly, trajectory planning of the 4 DOF industrial robot is analyzed. Secondly, the operation path is planned, and detailed operation steps are designed. Finally, the simulation verification process of trajectory planning for the 4 DOF industrial robot is completed, and some research results are obtained.
The hydrodynamic response of the floating offshore photovoltaic platform foundation
Authors: Hu Daiming , Liu Hao , Li Jie
Published: May 2024

With the increasing energy and the gradual exhaustion of fossil energy, the development of sustainable energy is imminent. The land-based photovoltaic power station has become increasingly saturated in terms of space, and the photovoltaic power layout is beginning to move towards the deep sea. Therefore, the research of floating offshore photovoltaic technology has become very important. However, the research on the basic design of floating offshore photovoltaic float is still in its infancy in China. Based on three-dimensional potential flow theory and Morison equation, this paper uses finite element method to simulate the hydrodynamic response of the float foundation, and the results show that the RAO peak response of the14m floating foundation is small and the intrinsic period is large, which is the best in the design scheme. Finally, the short-term forecast is made, which provides a certain guidance for the hydrodynamic analysis of the floating offshore photovoltaic project.
Many-objective optimization of operation strategy for district cooling system based on the per-unit value form
Authors: Zhu Peng , Wang Lixiao , Li Zhigang , Zheng Jiehui , Wu Qinghua
Published: May 2024

The operational strategy of the district cooling system (DCS) with an ice storage system must be carefully optimized for many objectives to achieve optimal operation. However, owing to the fact that the variables of DCS are in different orders of magnitude and there is a vast gap between the variables, it is not easy to perform arithmetic. In this paper, the DCS model based on the per-unit value form is formulated to develop a many-objectives operational strategy that is solved by the linear weighting method. And a multiple-attribute decision-making method is taken to get the optimal operating strategy. The simulation results are discussed for an existing cooling system with 619-node and 614-branch to illustrate that the model based on the per-unit value form can obtain satisfactory optimization results and a significant reduction in time consumption.
PMC reliability assessment and maintenance optimization
Authors: Gao Jianyong , Zhang Yanpeng , Qing Chen
Published: May 2024

By analyzing the main functions of PMC, determining the task profile of each PMC component, establishing a PMC task reliability model, and combining internal and external feedback, the action unit components that have a significant impact on PMC failures and contribute to the critical path of major repairs are identified. Component reliability maintenance analysis and quantitative evaluation of the overall reliability of PMC were carried out. The analysis shows that the existing preventive maintenance strategy effectively identifies equipment hazards and proposes suggestions for reliability improvement.
A method for facial expression recognition of image sequence based on spatial features
Authors: Li Xin , Zheng Xiangyu
Published: May 2024

Facial expression recognition is the foundation of human emotion recognition, which has become a hot topic in the field of artificial intelligence in recent years. To some extent, facial expressions can be regarded as the process of facial muscle changes. Image sequence contains richer expression contents compared with a single image. So the expression recognition based on image sequence can yield more accurate results. A new method for facial expression recognition is proposed in this paper, which is based on spatial feature for image sequence. The method consists of four steps. Firstly, Siamese neural network is used to construct an evaluation model for changes of expression intensity, which extracts an appropriate image sequence from the video. Secondly, a convolutional neural network with attention mechanism is designed and trained, which is used to extract spatial features from each image in the sequence. Then, the spatial features of multiple images are fused. Finally, the fusion results are put into a convolutional neural network to recognize the facial expressions. This method is validated on CK+ dataset and the experimental results show that it’s more accurate than several other methods.
Modeling and simulation analysis of ship 6-dof simulation swing platform based on matlab
Authors: Wang Jingfu , Shen Yan , Lin Peijian , Liang Lihua
Published: May 2024

In this paper, the kinematics and dynamics model of the ship’s six-degree-of-freedom simulation swing platform were studied. Then, a random wave and ship motion response model was established, and a six-degree-of-freedom motion model of DP ship in four-level sea state was established and studied by using the open source MSS toolbox, which lays a foundation for the subsequent simulation and control strategy research. The ordinary PID controller and fuzzy PID controller were designed and simulated, and the results were compared to verify the effect of fuzzy PID controller.
From single tests to a test-chain: A comprehensive approach for evaluating the interaction between the building envelope and the IEQ
Authors: Babich Francesco , Pinotti Riccardo , Gazzin Riccardo , Visentin Chiara , Lollini Roberto
Published: May 2024

In recent years building envelope systems have become increasingly more com-plex. Especially in high-performance low-carbon buildings, envelopes comprise several passive and active components such as advanced membranes, mechanical ventilation machines and integrated photovoltaics that must be mutually optimized to ensure a global elevated performance. One of the key expectations from these innovative envelopes is better capabilities of providing highly comfortable and healthy indoor environments while using as little energy as possible. However, the complexity of such envelopes poses two major challenges: (i) standard assessment procedures might not be usable to evaluate them either because these do not fully capture their potential or be-cause the complexity of product makes the standard test unfeasible, and (ii) multiple indoor environmental quality (IEQ) domains are simultaneously affected by these envelopes, and thus complementary tests in different domain are needed to ensure that a benefit in one domain does not lead to issues in others. For this reason, a test-chain for a thorough energy demand, indoor occupants’ comfort, and behaviour analysis performance has been implemented. It comprises a set of labs and additional simulation capabilities to study the building envelope-IEQ interaction at various technology readiness level. This paper provides an overview of the test-chain and its first application for the evaluation of a multifunctional façade. This façade includes a reversible air-to-air heat pump, a mechanical ventilation system, and openable windows, and aims at easing the achievement of the nZEB target while delivering elevated IEQ.
The Impact of Placement-Related Effects in Air-Cooled Cooling Chillers on Energy Efficiency
Authors: Özel Burak , Kavas Süleyman
Published: May 2024

In air-cooled chillers, it is recommended to leave specific distances between elements such as walls surrounding the air-cooled chillers to advance heat transfer. Additionally, the positioning is an effective parameter based on the incidence of the sun, as condenser waste heat dissipation becomes more challenging due to solar radiation. Therefore, efficient-based analyses of parameters related to integrated effects need to be conducted. In this study, the flow of the chiller in a baseline geometry is examined, and the temperature of the air passing over the condenser is determined using computational fluid dynamics (CFD) analysis in the first place. Initially, the effect of the solar radiation direction is examined. Then, the wall distances and wall height around the cooling unit are parametrically defined. Different design points are identified, and a design of experiment (DOE) analysis is performed to study the integrated effect between each factor. The results are graphically visualized using the response surface method (RSM). Based on the analysis, a three-parameter layout optimization study is conducted, including the chiller-to-wall width, chiller-to-wall depth, and wall height. This way, the appropriate layout for air-cooled chiller is determined. Consequently, the impact of these parameters on efficiency and capacity is determined through flow analysis. The analyses are repeated for high-capacity chillers with condenser fans placed on top and low-capacity unit with side fans.
Evaluating the IAQ and energy performance of ventilation systems in multifamily buildings
Authors: Kiani Zohreh , Nour Eddine Ali Alexander , Taurines Kévin , Cordeiro Mendonça Kátia , Abadie Marc
Published: May 2024

Buildings must provide Indoor Air Quality (IAQ) to the best of their ability while maintaining high energy efficiency. Mechanical ventilation systems are central to this concern. Despite the promises of innovative technologies in the market, a simple simulation tool for comparing their effects is not available. This article presents a TRNSYS-CONTAM co-simulation tool that enables the calculation of interdependent effects of temperature, moisture, and airflow on contaminant transport, and energy use on the building scale. The impact of the outdoor conditions, airtightness of building envelopes, neighboring environments, and the building’s wind exposure is also considered. IAQ is assessed by humidity, CO2 concentration in the building, and the exposure of its occupants to PM2.5 and formaldehyde concentrations to comply with available recommendations. This paper presents the methodology employed to evaluate the global performance of ventilation systems in terms of energy efficiency and IAQ.
Towards Zero Energy Buildings: The UniZEB case study
Authors: Carnieletto Laura , Mitrovic Milica , Riccardi Beatrice , Turrini Umberto , Bignucolo Fabio , De Carli Michele
Published: May 2024

Buildings are among the primary contributors to global energy consumption, and reducing their demand is one of the challenges that need to be considered for a sustainable future. Zero Energy Buildings (ZEB) represent one of the most promising strategies in this endeavor, and in this sense, the UniZEB project addresses this issue with an innovative approach. It is a Zero Energy Building Laboratory of the University of Padova, built up from a collaboration between local companies, students, and researchers, featuring high performance HVAC and envelope technologies integrated with renewable energy sources. The present work offers an overview of the project, showing some of the already-faced challenges, as well as future opportunities of research and study. The purpose of the laboratory is indeed to offer the students the possibility to put in practice the knowledge they gain through university, as well as exploring new subjects through recent research topics, e.g., the development of a sensor network for the monitoring of the building, the dynamic model calibration, able to compare expected and current energy demand. The paper aims also to demonstrate the potential of a project like UniZEB, proving how research, innovation, and collaboration can shape the future of sustainable construction.
Scenarios for the energy renovation of a residential building
Authors: Malevolti Guglielmo , Rocchetti Andrea , Socci Luca
Published: May 2024

In this paper, the results of the energy renovation of a residential building, aimed at introducing it into a Renewable Energy Community (CER), are presented. A case study located in Florence (Italy) is discussed. Static and dynamic energy models have been used to evaluate the energy performance of the building, to compare different scenarios based on heat pumps (independent or centralised generator) and to evaluate them under the perspective of EPBD parameters. A comparison has been made concerning energy consumption and CO2 emissions. In its current state, the building presents an energy performance index of 129.8 kWh/(m2year) (class D). The energy refurbishment with heat pump (A4, 24.7 kWh/(m2year)) and VMC system (A4, 39.3 kWh/(m2year)) ensures a strong reduction in CO2 emissions, respectively 5.5 kg/(m2year) and 8.7 kg/(m2year) against 24.4 kg/(m2year) with the current gas fired boiler. The centralized heat pump configuration allows to further reduce the energy consumption. With the same thermal energy requirement, the results show a reduction of 14% of the power needs (without total recovery), thanks to the better sizing of the generator. Furthermore, the centralized heat pump opens a perspective of direct self-consumption of the energy product by the photovoltaic system into a CER configuration. The paper shows that the energy renovation with a heat pump is an effective way to reach the EPBD objectives and decarbonize the residential heating and cooling sector.