bluuebunny/crossref_metadata_2025 huggingface dataset:
Mother optimization algorithm: a new human-based metaheuristic approach for solving engineering optimization
Authors: Matoušová Ivana , Trojovský Pavel , Dehghani Mohammad , Trojovská Eva , Kostra Juraj
Published: June 2023

This article’s innovation and novelty are introducing a new metaheuristic method called mother optimization algorithm (MOA) that mimics the human interaction between a mother and her children. The real inspiration of MOA is to simulate the mother’s care of children in three phases education, advice, and upbringing. The mathematical model of MOA used in the search process and exploration is presented. The performance of MOA is assessed on a set of 52 benchmark functions, including unimodal and high-dimensional multimodal functions, fixed-dimensional multimodal functions, and the CEC 2017 test suite. The findings of optimizing unimodal functions indicate MOA’s high ability in local search and exploitation. The findings of optimization of high-dimensional multimodal functions indicate the high ability of MOA in global search and exploration. The findings of optimization of fixed-dimension multi-model functions and the CEC 2017 test suite show that MOA with a high ability to balance exploration and exploitation effectively supports the search process and can generate appropriate solutions for optimization problems. The outcomes quality obtained from MOA has been compared with the performance of 12 often-used metaheuristic algorithms. Upon analysis and comparison of the simulation results, it was found that the proposed MOA outperforms competing algorithms with superior and significantly more competitive performance. Precisely, the proposed MOA delivers better results in most objective functions. Furthermore, the application of MOA on four engineering design problems demonstrates the efficacy of the proposed approach in solving real-world optimization problems. The findings of the statistical analysis from the Wilcoxon signed-rank test show that MOA has a significant statistical superiority compared to the twelve well-known metaheuristic algorithms in managing the optimization problems studied in this paper.
Remodeled eX vivo muscle engineered tissue improves heart function after chronic myocardial ischemia
Authors: Cosentino Marianna , Nicoletti Carmine , Valenti Valentina , Schirone Leonardo , Di Nonno Flavio , Apa Ludovica , Zouhair Mariam , Genovese Desiree , Madaro Luca , Dinarelli Simone , Rossi Marco , Del Prete Zaccaria , Sciarretta Sebastiano , Frati Giacomo , Rizzuto Emanuele , Musarò Antonio
Published: June 2023

The adult heart displays poor reparative capacities after injury. Cell transplantation and tissue engineering approaches have emerged as possible therapeutic options. Several stem cell populations have been largely used to treat the infarcted myocardium. Nevertheless, transplanted cells displayed limited ability to establish functional connections with the host cardiomyocytes. In this study, we provide a new experimental tool, named 3D eX vivo muscle engineered tissue (X-MET), to define the contribution of mechanical stimuli in triggering functional remodeling and to rescue cardiac ischemia. We revealed that mechanical stimuli trigger a functional remodeling of the 3D skeletal muscle system toward a cardiac muscle-like structure. This was supported by molecular and functional analyses, demonstrating that remodeled X-MET expresses relevant markers of functional cardiomyocytes, compared to unstimulated and to 2D- skeletal muscle culture system. Interestingly, transplanted remodeled X-MET preserved heart function in a murine model of chronic myocardial ischemia and increased survival of transplanted injured mice. X-MET implantation resulted in repression of pro-inflammatory cytokines, induction of anti-inflammatory cytokines, and reduction in collagen deposition. Altogether, our findings indicate that biomechanical stimulation induced a cardiac functional remodeling of X-MET, which showed promising seminal results as a therapeutic product for the development of novel strategies for regenerative medicine.
Longitudinal whole blood transcriptomic analysis characterizes neutrophil activation and interferon signaling in moderate and severe COVID-19
Authors: Prebensen Christian , Lefol Yohan , Myhre Peder L. , Lüders Torben , Jonassen Christine , Blomfeldt Anita , Omland Torbjørn , Nilsen Hilde , Berdal Jan-Erik
Published: June 2023

A maladaptive inflammatory response has been implicated in the pathogenesis of severe COVID-19. This study aimed to characterize the temporal dynamics of this response and investigate whether severe disease is associated with distinct gene expression patterns. We performed microarray analysis of serial whole blood RNA samples from 17 patients with severe COVID-19, 15 patients with moderate disease and 11 healthy controls. All study subjects were unvaccinated. We assessed whole blood gene expression patterns by differential gene expression analysis, gene set enrichment, two clustering methods and estimated relative leukocyte abundance using CIBERSORT. Neutrophils, platelets, cytokine signaling, and the coagulation system were activated in COVID-19, and this broad immune activation was more pronounced in severe vs. moderate disease. We observed two different trajectories of neutrophil-associated genes, indicating the emergence of a more immature neutrophil phenotype over time. Interferon-associated genes were strongly enriched in early COVID-19 before falling markedly, with modest severity-associated differences in trajectory. In conclusion, COVID-19 necessitating hospitalization is associated with a broad inflammatory response, which is more pronounced in severe disease. Our data suggest a progressively more immature circulating neutrophil phenotype over time. Interferon signaling is enriched in COVID-19 but does not seem to drive severe disease.
Phenotypic and molecular characterization of beta-lactam resistant Multidrug-resistant Enterobacterales isolated from patients attending six hospitals in Northern Nigeria
Authors: Medugu Nubwa , Tickler Isabella A. , Duru Carissa , Egah Ruth , James Abu Ocheiku , Odili Vivian , Hanga Fatima , Olateju Eyinade Kudirat , Jibir Binta , Ebruke Bernard E. , Olanipekun Grace , Tenover Fred C. , Obaro Stephen K.
Published: June 2023

Infections caused by multi-drug resistant Enterobacterales (MDR-E) are difficult to treat and cause significant mortality, especially in developing countries. This study characterized the phenotypic and genotypic profiles of 49 randomly selected beta-lactam resistant MDR-E previously isolated from patients being managed in hospitals in Nigeria using whole genome sequencing. The study isolates exhibited 85.5% resistance to 3rd generation cephalosporins and 65.3% resistance to carbapenems. The blaTEM-1B (29, 59.2%),blaCTX-M-15 (38, 77.6%), and blaNDM-1 (17, 51.5%) were the most common penicillinase, ESBL, and carbapenem resistant genes across isolates, respectively. Seventeen (45%) of blaCTX-M-15 was carried on the insertion sequence ISEc9 while blaNDM-1 (11, 64.7%) were associated with ISEc33. None of the 21 plasmids detected were associated with β-lactamase genes. Higher resistance rates were found in E. coli ST-88 (n = 2) and the high-risk ST-692 (n = 2). For Klebsiella species, the high-risk clones ST-476 (n = 8) and ST-147 (n = 3) predominated and had higher phenotypic resistance rates and higher number of AMR genes. The mechanisms and pattern of antibiotic resistance differ from patterns previously described with isolates harbouring a wide range of AMRGs. The detection of several chromosomally mediated carbapenemases in our study also represents a significant finding that warrants further investigation to better understand its’ implications for clinical practice and public health. The selected MDR-Es were found to be pan-susceptible to tigecycline and had very low resistance to fosfomycin, suggesting a potential for these as empiric treatments. A surveillance approach incorporating both conventional laboratory techniques and modern molecular techniques is essential for the comprehensive characterization of the emergence and dissemination of antimicrobial resistance in Enterobacterales infections within Nigeria.
Morphogenesis in space offers challenges and opportunities for soft matter and biophysics
Authors: Ben Amar Martine , Ciarletta Pasquale , Haas Pierre A.
Published: June 2023

The effects of microgravity on soft matter morphogenesis have been documented in countless experiments, but physical understanding is still lacking in many cases. Here we review how gravity affects shape emergence and pattern formation for both inert matter and living systems of different biological complexities. We highlight the importance of building physical models for understanding the experimental results available. Answering these fundamental questions will not only solve basic scientific problems, but will also enable several industrial applications relevant to space exploration.
Exploring residential built-up form typologies in Delhi: a grid-based clustering approach towards sustainable urbanisation
Authors: Marwal Aviral , Silva Elisabete A.
Published: June 2023

Previous studies have established a significant link between urban form and sustainability. However, the diversity of micro-scale urban forms in cities in the global south has received limited attention, hindered by the lack of neighbourhood-level spatial data and maps, which poses challenges in exploring micro-urban form features. The study addresses this gap using a grid-based k-means clustering algorithm to identify residential built-up form typologies in Delhi and assess their impact on sustainable urbanisation. The algorithm clusters 100×100 metre grid cells based on their attributes of accessibility, built-up density, and street design. The results show six distinct built-up form typologies in Delhi. However, only 19% of residential areas meet the criteria for sustainable urbanisation, highlighting the need for planning interventions in most areas. The study methodology can be applied to analyse micro-scale urban form features in other cities in the global south, providing a fresh perspective on urbanisation research.
Interferon signaling promotes tolerance to chromosomal instability during metastatic evolution in renal cancer
Authors: Perelli Luigi , Carbone Federica , Zhang Li , Huang Justin K. , Le Courtney , Khan Hania , Citron Francesca , Del Poggetto Edoardo , Gutschner Tony , Tomihara Hideo , Soeung Melinda , Minelli Rosalba , Srinivasan Sanjana , Peoples Michael , Lam Truong Nguyen Anh , Lundgren Sebastian , Xia Ruohan , Zhu Cihui , Mohamed Alaa M. T. , Zhang Jianhua , Sircar Kanishka , Sgambato Alessandro , Gao JianJun , Jonasch Eric , Draetta Giulio F. , Futreal Andrew , Bakouny Ziad , Van Allen Eliezer M. , Choueiri Toni , Signoretti Sabina , Msaouel Pavlos , Litchfield Kevin , Turajlic Samra , Wang Linghua , Chen Ying Bei , Di Natale Renzo G. , Hakimi A. Ari , Giuliani Virginia , Heffernan Timothy P. , Viale Andrea , Bristow Christopher A. , Tannir Nizar M. , Carugo Alessandro , Genovese Giannicola
Published: June 2023

Molecular routes to metastatic dissemination are critical determinants of aggressive cancers. Through in vivo CRISPR–Cas9 genome editing, we generated somatic mosaic genetically engineered models that faithfully recapitulate metastatic renal tumors. Disruption of 9p21 locus is an evolutionary driver to systemic disease through the rapid acquisition of complex karyotypes in cancer cells. Cross-species analysis revealed that recurrent patterns of copy number variations, including 21q loss and dysregulation of the interferon pathway, are major drivers of metastatic potential. In vitro and in vivo genomic engineering, leveraging loss-of-function studies, along with a model of partial trisomy of chromosome 21q, demonstrated a dosage-dependent effect of the interferon receptor genes cluster as an adaptive mechanism to deleterious chromosomal instability in metastatic progression. This work provides critical knowledge on drivers of renal cell carcinoma progression and defines the primary role of interferon signaling in constraining the propagation of aneuploid clones in cancer evolution.
Local eukaryotic and bacterial stream community assembly is shaped by regional land use effects
Authors: Weigel Benjamin , Graco-Roza Caio , Hultman Jenni , Pajunen Virpi , Teittinen Anette , Kuzmina Maria , Zakharov Evgeny V , Soininen Janne , Ovaskainen Otso
Published: June 2023

With anticipated expansion of agricultural areas for food production and increasing intensity of pressures stemming from land-use, it is critical to better understand how species respond to land-use change. This is particularly true for microbial communities which provide key ecosystem functions and display fastest responses to environmental change. However, regional land-use effects on local environmental conditions are often neglected, and, hence, underestimated when investigating community responses. Here we show that the effects stemming from agricultural and forested land use are strongest reflected in water conductivity, pH and phosphorus concentration, shaping microbial communities and their assembly processes. Using a joint species distribution modelling framework with community data based on metabarcoding, we quantify the contribution of land-use types in determining local environmental variables and uncover the impact of both, land-use, and local environment, on microbial stream communities. We found that community assembly is closely linked to land-use type but that the local environment strongly mediates the effects of land-use, resulting in systematic variation of taxon responses to environmental conditions, depending on their domain (bacteria vs. eukaryote) and trophic mode (autotrophy vs. heterotrophy). Given that regional land-use type strongly shapes local environments, it is paramount to consider its key role in shaping local stream communities.
Microfluidic tapered aspirators for mechanical characterization of microgel beads
Authors: Uddin Md Mezbah , Vanapalli Siva A.
Published: June 2023

Microfluidic tapered aspirators were developed to characterize dynamic changes in the mechanical properties of microgel beads in a parallelized manner.
Biosensors based on DNA-functionalized CdTe quantum dots for the enhanced electrochemical detection of human-IgG
Authors: Wang Jiajia , Dong Wenhui , Yang Xiaomin , Li Yanan , Jin Baokang
Published: June 2023

Strategy for detecting human IgG using DNA-functionalized CdTe quantum dots as biosensors.
Tellurium-induced defect engineering for boosting the oxygen evolution reaction of spinel oxide
Authors: Li Shu-Fang , Li Xin , Yan Dong
Published: June 2023

Metalloid atom Te was adopted into oxide NiCo2O4 to optimize the electronic structure and alter the energy level of the d band center as a highly efficient OER catalyst.
Thiol-grafted covalent organic framework-based electrochemical platforms for sensitive detection of Hg(ii) ions
Authors: Tang Xiang , Zhang Qingqing , Chen Dongyang , Deng Lifeng , He Yaxu , Wang Jianxiu , Pan Chunyue , Tang Juntao , Yu Guipeng
Published: June 2023

Thioether\thiol group-functionalized COFs are designed and synthesized successfully via thiol-ene click chemistry. The COF sensor is innovatively used to detect Hg(ii) in tap water revealing an outstanding performance.
Linear π-conjugated units of theD∞hpoint group as superior ultraviolet birefringent units
Authors: Yang Rong , Tudi Abudukadi , Dang Yu , Zhang Kewang , Shi Hongsheng
Published: June 2023

The linear anionic basic units BN2, BO2, NO2, and CN2belonging to theD∞hpoint group have the great potential to become new birefringent FMs.
A new class of third-order nonlinear optical materials: laser pulse-duration dependant saturable absorption and nonlinear refraction in platinum(ii) diimine-dithiolate complexes
Authors: Pintus Anna , Pilloni Cristian , Pippia Gabriele , Podda Enrico , Carla Aragoni M. , Lippolis Vito , Aloukos Panagiotis , Potamianos Dionysios , Chazapis Nikolaos , Couris Stelios , Anyfantis George C. , Slawin Alexandra M. Z. , Woollins J. Derek , Arca Massimiliano
Published: June 2023

Platinum diimine-dithiolate complexes represent a new class of third-order nonlinear optical materials, showing saturable absorption and switchable nonlinear refraction.
Co-photolysis of mixed chromophores affects atmospheric lifetimes of brown carbon
Authors: Wang Yalin , Qiu Tian , Zhang Cong , Hao Tianwei , Go Brix Raphael , Zhang Ruifeng , Gen Masao , Chan Man Nin , Huang Dan Dan , Ge Xinlei , Wang Junfeng , Du Lin , Huang Ru-Jin , Chen Qi , Hoi Ka In , Mok Kai Meng , Chan Chak K. , Li Yong Jie
Published: June 2023

Sensitizing shortens the atmospheric lifetimes of BrC chromophores and potentially other species during (co-)photolysis, while shadowing only works in coarse particles.
Modulation effect of black rice dietary fiber on the metabolism and fermentation of cyanidin-3-glucoside in an in vitro human colonic model
Authors: Zhang Shuai , Deng Mei , Zhang Ruifen , Jia Xuchao , Huang Fei , Zhao Dong , Dong Lihong , Chi Jianwei , Sun Zhida , Ma Qin , Zhang Mingwei
Published: June 2023

Black rice (Oryza sativa L.) is a great source of anthocyanins and dietary fiber and possesses various health-promoting properties.
Red cabbage microgreen modulation of gut microbiota is associated with attenuation of diet-induced obesity risk factors in a mouse model
Authors: Wu Yanbei , Pham Quynhchi , Wang Yali , Huang Haiqiu , Jiang Xiaojing , Li Robert W. , Yu Liangli , Luo Yaguang , Wang Jing , Wang Thomas T. Y.
Published: June 2023

RCMG can modulate the gut microbiota regarding the diversity, composition and microbial co-occurrence network in a high-fat diet mouse model.
A new potential natural chalcopyrite reference material for in situ copper isotope microanalysis
Authors: Fang Yuan , Yu Hui-Min , Xie Lie-Wen , Fang Shu-Bin , Huang Fang , Li Wang-Ye
Published: June 2023

TQ-Ccp chalcopyrite with homogeneous Cu isotope compositions provides a potential reference material for in situ Cu isotope measurement.
Integrated membranes within centrifugal microfluidic devices: a review
Authors: O'Connell Killian C. , Landers James P.
Published: June 2023

Membranes represent a powerful technology for numerous lab-on-a-disc applications. This review provides a comprehensive introduction to these versatile materials as well as strategies for their integration within centrifugal microdevices.
An optimized PDMS microfluidic device for ultra-fast and high-throughput imaging flow cytometry
Authors: Liu Xun , Zhou Jiehua , Yan Ruopeng , Tang Tao , Wei Shubin , Li Rubing , Hou Dan , Weng Yueyun , Wang Du , Shen Hui , Zhou Fuling , Tanaka Yo , Li Ming , Hosokawa Yoichiroh , Yalikun Yaxiaer , Lei Cheng
Published: June 2023

We optimized the microfluidic chip of imaging flow cytometry by setting horizontal connections; By OTS microscopy, cells can be imaged at 40 m s−1in our device.
Synthesis of trioxane from formaldehyde catalyzed by [Ga, Al]-MFI zeolites
Authors: Wu Wenhui , Deng Conger , Lei Qian , Chen Honglin
Published: June 2023

ZSM-5 could be a good candidate for the catalysis of formaldehyde to trioxane (TOX) because of its appropriate and adjustable acid properties.
Synthesis, ADMT prediction, and in vitro and in silico α-glucosidase inhibition evaluations of new quinoline–quinazolinone–thioacetamides
Authors: Safapoor Sajedeh , Halimi Mohammad , Ghomi Minoo Khalili , Noori Milad , Dastyafteh Navid , Javanshir Shahrzad , Hosseini Samanesadat , Mojtabavi Somayeh , Faramarzi Mohammad Ali , Nasli-Esfahani Ensieh , Larijani Bagher , Fakhrioliaei Azadeh , Dekamin Mohammad G. , Mohammadi-Khanaposhtani Maryam , Mahdavi Mohammad
Published: June 2023

In this work, a new series of quinoline–quinazolinone–thioacetamide derivatives 9a–p were designed using a combination of effective pharmacophores of the potent α-glucosidase inhibitors.
Photocatalytic degradation of imidacloprid using Ag2O/CuO composites
Authors: Tariq Saadia Rashid , Niaz Zunaira , Chotana Ghayoor Abbass , Ahmad Dildar , Rafique Nazia
Published: June 2023

Ag2O/CuO composite ensures complete mineralization of imidacloprid so helps ensure a greener environment.
Simultaneous nitrate and sulfate biotransformation driven by different substrates: comparison of carbon sources and metabolic pathways at different C/N ratios
Authors: Wang Baixiang , Hu Heping , Huang Shaobin , Yuan Haiguang , Wang Yanling , Zhao Tianyu , Gong Zerui , Xu Xinyue
Published: June 2023

Compared to sodium acetate, sodium succinate produces less sulfide when used as a carbon source, which reduces secondary contamination.
Effective adsorption of Pb(ii) from wastewater using MnO2 loaded MgFe-LD(H)O composites: adsorption behavior and mechanism
Authors: Huang Yongxiang , Luo Xiangping , Liu Chongmin , You Shaohong , Rad Saeed , Qin Litang
Published: June 2023

Pb(ii) adsorption by MnO2/MgFe-layered double hydroxide (MnO2/MgFe-LDH) and MnO2/MgFe-layered metal oxide (MnO2/MgFe-LDO) materials was experimentally studied in lab-scale batches for remediation property and mechanism analysis.
Structural evolution of a water oxidation catalyst by incorporation of high-valent vanadium from the electrolyte solution
Authors: Singh Baghendra , Huang Yu-Cheng , Priyadarsini Adyasa , Mannu Pandian , Dey Sanchaita , Lahiri Goutam Kumar , Mallik Bhabani S. , Dong Chung-Li , Indra Arindam
Published: June 2023

Electrochemical incorporation of high valent vanadium ions to obtain a V–Ni(OH)2–Ni(O)OH catalyst for water oxidation.
Hydrogen spillover effect – harnessing hydrogen evolution reaction from diverse carbon-based supports with a tungsten oxide catalyst
Authors: Rajalakshmi R. , Srividhya G. , Viswanathan C. , Ponpandian N.
Published: June 2023

The phenomena of the hydrogen spillover mechanism on different carbon supports.
Exploring the linear relationship between potential dynamics and interfacial capacitance: implications for enhancing the turnover frequency in electrochemical water splitting
Authors: Karmakar Arun , Nagappan Sreenivasan , Das Ankit , Kalloorkal Althaf , Kundu Subrata
Published: June 2023

Effect of scan rate over intrinsic activity or TOF for OER, has been analysed for the very first time. It has found that increased TOF value varies as a function of scan rate which arises due to increased interfacial capacitance.
Oxygen-releasing biomaterials for regenerative medicine
Authors: Wang Zhaojun , Chen Tianao , Li Xin , Guo Buyun , Liu Peng , Zhu Zhiqiang , Xu Ronald X.
Published: June 2023

This review provides a comprehensive overview of oxygen-releasing biomaterials for regenerative medicine.
Two-phase dual-signal-readout immunosensing platform based on multifunctional carbon nano-onions for ovarian cancer biomarker detection
Authors: Huang Yitian , Zhang Shupei , Chen Yanjie , Gao Lihong , Dai Hong , Lin Yanyu
Published: June 2023

In order to detect early tumor markers and gain valuable time for treatment, there is an urgent need to develop a fast, cheap, and ultrasensitive multi-reading sensing platform.
Stochastic geometry modelling and analysis for cooperative NOMA with large transmit antennas for 5G applications and beyond
Authors: Tweneboah‐Koduah Samuel , Affum Emmanuel Ampoma , Ansere James Adu , Gyamfi Eric , Opare Kwasi Adu‐Boahen , Ajagbe Sunday Adeola , Adigun Matthew O.
Published: June 2023

Among the technologies that have made 5G wireless communication successful are non‐orthogonal multiple access (NOMA) and cooperative NOMA. The distinction is that cooperative NOMA adds coding schemes to improve performance. Nevertheless, research on cooperative NOMA has primarily used theoretical correlation‐based stochastic models (CBSM) instead of geometric‐based stochastic models (GBSM) that represent suitable channel conditions by including characteristics like path loss, delay profile, and angle of arrival in the model. This paper connects the low adoption of GBSM is due to computational challenges. Given this, it is essential to assess cooperative NOMA that employs GBSM with large antenna transmitters to meet future 5G expectations. The cooperative NOMA system's transmitter is modelled as a uniform rectangular array and a novel channel realisation is proposed for analysis. The location vector of the antenna using the physical dimension of the array is defined to reduce computational problems. Results shows that the average bit‐error performance of GBSM matches that of CBSM at the same antenna element separation, but the spatial correlation between antenna elements significantly impacts the outage probability and average achievable rates of GBSM performance. Enhanced GBSM performance by increasing antenna separation at the transmitter above one‐eighth wavelength.
Research on load frequency control of multi‐microgrids in an isolated system based on the multi‐agent soft actor‐critic algorithm
Authors: Xie Li Long , Li Yonghui , Fan Peixiao , Wan Li , Zhang Kanjun , Yang Jun
Published: June 2023

Load variation, distributed power output uncertainty and multi‐microgrids network complexity have brought great difficulties to the frequency stability of the whole microgrid. To address this problem, this paper uses a multi‐agent deep reinforcement learning(DRL) algorithm to design the controllers to control the frequency of the multi‐microgrids. Firstly, a load frequency control (LFC) model for multi‐microgrids was built. Secondly, based on the centralized training and decentralized execution (CTDE) multi‐agent reinforcement learning (RL) framework, the multi‐agent soft actor‐critic (MASAC) algorithm was designed and applied to the multi‐microgrids model. The state space and action space of multi‐agent were established according to the frequency deviation of every sub‐microgrid and the output of each distributed power source. The reward function was then established according to the frequency deviation. The appropriate neural network and training parameters were selected to generate the interconnected microgrid controllers through multiple training of pre‐learning. Finally, the simulation study shows that the MASAC controller proposed in this paper can quickly maintain frequency stability when the system is disturbed. Sensitivity analysis shows that the MASAC controller can effectively cope with the uncertainty of the system parameters.
A new approach to load modelling for a power electronics‐based load structure
Authors: Asl Ramin Alizadeh , Asl Amin Alizadeh
Published: June 2023

This paper presents a new non‐linear complex load structure that consists of two induction motors, a DC motor, a static load and electric vehicle charging stations. The proposed structure covers modern power system loads behaviour. Additionally, there is a need for an automatic method of load modelling that is accurate and suitable for new loads. This paper proposes an automated load modelling (ALM) method for a new composite load structure based on a software tool. This paper presents two new load models besides the conventional load models. All load models are simultaneously used in each sliding window in the proposed ALM, and the best load model is chosen by the root mean square error (RMSE) criterion. It makes the proposed method to be more accurate than other similar methods. Because in this case, the proposed method becomes independent of variations in load composition, in contrast to other methods. This paper also discusses the length of the sliding window, which, unfortunately, has not been sufficiently covered in published articles on load modelling. The proposed load structure is applied to the New England 39‐bus system in DIgSILENT POWER FACTORY software. MATLAB/curve fitting toolbox is used for an optimization problem.
Tentative co-orbital submillimeter emission within the Lagrangian region L5 of the protoplanet PDS 70 b
Authors: Balsalobre-Ruza O. , de Gregorio-Monsalvo I. , Lillo-Box J. , Huélamo N. , Ribas Á. , Benisty M. , Bae J. , Facchini S. , Teague R.
Published: June 2023

Context. High-spatial resolution Atacama Large Millimeter/submillimeter Array (ALMA) data have revealed a plethora of substructures in protoplanetary disks. Some of those features are thought to trace the formation of embedded planets. One example is the gas and dust that accumulated in the co-orbital Lagrangian regions L4/L5, which were tentatively detected in recent years and might be the pristine material for the formation of Trojan bodies.

Aims. This work is part of the TROY project, whose ultimate goal is to find robust evidence of exotrojan bodies and study their implications in the exoplanet field. Here, we focus on the early stages of the formation of these bodies by inspecting the iconic system PDS 70, the only confirmed planetary system in formation.

Methods. We reanalyzed archival high-angular resolution Band 7 ALMA observations from PDS 70 by doing an independent imaging process to look for emission in the Lagrangian regions of the two detected gas giant protoplanets, PDS 70 b and c. We then projected the orbital paths and visually inspected emission features at the regions around the L4/L5 locations as defined by ±60° in azimuth from the planet position.

Results. We found emission at a ~4-σ level (~6-σ when correcting from a cleaning effect) at the position of the L5 region of PDS 70 b. This emission corresponds to a dust mass in a range of 0.03–2 MMoon, which potentially accumulated in this gravitational well.

Conclusions. The tentative detection of the co-orbital dust trap that we report requires additional observations to be confirmed. We predict that we could detect the co-orbital motion of PDS 70 b and the dust presumably associated with L5 by observing again with the same sensitivity and angular resolution as early as February 2026.
Variation in optical and infrared properties of galaxies in relation to their surface brightness
Authors: Junais  , Małek K. , Boissier S. , Pearson W. J. , Pollo A. , Boselli A. , Boquien M. , Donevski D. , Goto T. , Hamed M. , Kim S. J. , Koda J. , Matsuhara H. , Riccio G. , Romano M.
Published: June 2023

Although it is now recognized that low surface brightness galaxies (LSBs) constitute a large fraction of the number density of galaxies, many of their properties are still poorly known. Based on only a few studies, LSBs are often considered to be “dust poor”, that is, with a very low amount of dust. For the first time, we use a large sample of LSBs and high surface brightness galaxies (HSBs) with deep observational data to study the variation of stellar and dust properties as a function of the surface brightness-surface mass density. Our sample consists of 1631 galaxies that were optically selected (with ugrizy-bands) at z < 0.1 from the North Ecliptic Pole (NEP) Wide field. We used the large multiwavelength set of ancillary data in this field ranging from UV to the far-infrared wavelengths. We measured the optical size and the surface brightness of the targets and analyzed their spectral energy distribution using the CIGALE fitting code. Based on the average r-band surface brightness (μ̄e), our sample consists of 1003 LSBs (μ̄e > 23 mag arcsec−2) and 628 HSBs (μ̄e ≤ 23 mag arcsec−2). We found that the specific star formation rate and specific infrared luminosity (total infrared luminosity per stellar mass) remain mostly flat as a function of surface brightness for both LSBs and HSBs that are star forming, but these characteristics decline steeply when the LSBs and HSBs are quiescent galaxies. The majority of LSBs in our sample have negligible dust attenuation (< 0.1 mag), and only about 4% of them show significant attenuation, with a mean V-band attenuation of 0.8 mag. We found that the LSBs with a significant attenuation also have a high r-band mass-to-light ratio (M/Lr > 3 M⊙/L⊙), making them outliers from the linear relation of surface brightness and stellar mass surface density. These outlier LSBs also show similarity to the extreme giant LSBs from the literature, indicating a possibly higher dust attenuation in giant LSBs. This work provides a large catalog of LSBs and HSBs as well as detailed measurements of several optical and infrared physical properties. Our results suggest that the dust content of LSBs is more varied than previously thought, with some of them having significant attenuation that makes them fainter than their intrinsic value. With these results, we will be able to make predictions on the dust content of the population of LSBs and how the presence of dust will affect their observations from current and upcoming surveys like JWST and LSST.
Ni3S2/Zn0.76Co0.24S for high performance hybrid supercapacitor
Authors: Sun Mengxuan , Yan Yijun , Li Zhijie , Jia Chunyang
Published: June 2023

Supercapacitors have become a research hotspot in the field of energy storage due to their highpower density, fast charging/discharging ability, long-term stability and safety. Nevertheless, relatively low energy density hindered their application. Herein, Ni3S2/Zn0.76Co0.24S (NZCS) microsphere were synthesized using a facile two-step hydrothermal process. The polymetallic synergies can improve conductivity and shorten ion transport path. The uniform particle distribution provided numerous active sites for faradaic reactions. The NZCS mircosphere showed a large capacity of 571.5 C g-1 at 1 A g-1 and 87% rate rentention when the current increases by 10 times. A hybrid supercapacitor assmebled by NZCS cathode and active carbon anode demostrate a high energy density of 44.1 Wh kg-1 (407.0 W kg-1) and a stable cycliability of 15,000 cycles with 15% loss. Thus, NZCS is a promising electrode material for high performance supercapacitor.
High catalyst performance of two-dimensional Ti3B3N3S6 for hydrogen evolution reaction
Authors: Sun Yongxiu , Li Zhijie
Published: June 2023

Single-atom catalysts (SACs) for the hydrogen evolution reaction (HER) is an efficient electrochemical pathway to produce the green production. However, the development of HER process is hampered by the lack of high-performance electrocatalysts. In this work, we proposed a new π-d conjugated structure of the Ti3B3N3S6 monolayer as the single-atom catalysts for the HER process by using the density functional theory (DFT) calculations. The calculated results show that the Ti atom is active site of the Ti3B3N3S6 monolayer with the high catalytic activity (ΔGH = –0.14 eV) for HER. The electronic properties of the Ti3B3N3S6 monolayer were explored by the electron localization function (ELF), Bader charge analysis and the polarized density of states (PDOS) density analysis. The Ti3B3N3S6 monolayer can promote the electronic transfer during the HER process, which indicates taht the Ti3B3N3S6 monolayer can is considered to investigate the catalytic activity for HER. The Gibbs free energy of H atoms adsorption on the Ti3B3N3S6 monolayer is –0.14 eV. Furthermore, the origin of high catalytic activity for the Ti3B3N3S6 monolayer was explored by the analysis the PDOS of the H adsorption on the Ti3B3N3S6 monolayer. Therefore, our work propose a new and high catalytic single-atom catalyst for the HER.
Kinematics analysis of a medication delivery robot based on a 3-DOF manipulator
Authors: Huang Shanyue
Published: June 2023

Medication delivery robots, as a type of service robots, are becoming increasingly important in the field of helping the elderly and disabled. Conventional drug delivery robots focus on mobility and often lack the ability to pick and place drugs independently. Based on this phenomenon, a new medication delivery robot structure based on a 3-DOF robot manipulator is designed in this paper. According to the motion process, the 3-DOF manipulator is modeled and simulated. Meanwhile, the influence of different trajectory planning methods on the drug taking and discharging process are compared, which provides theoretical and technical support for the research of robots in related fields.
Research progress in nanotechnology for enhanced silicon-based and iron-based anodes for lithium-ion batteries
Authors: Yao Yaqi
Published: June 2023

Recent research has focused on making suitable anode materials for lithium-ion batteries and using nanotechnology to refine composite electrode materials with high reversible capacity and strong stability. However, much work remains to be done to develop these materials into commercially viable solutions. The anode materials must have high reversible capacity, a long lifetime, and the ability to accept and release lithium ions repeatedly. Nano-engineered composite anode materials based on silicon and iron have shown good promise but need improved electrochemical properties and longer effective lifetimes. This paper summarizes the performance characteristics of Si-based and Fe-based anodes and ways to improve their performance through nanoengineering.
Research and Improvement of Electromechanical Transient Performance of Power System Based on SIMULINK
Authors: Wang Duo
Published: June 2023

The research on electromechanical transient stability of power systems is of great significance. Analyzing the parameters of the simulation system and its improved system with typical short-circuit faults, this paper studies the transient stability of power systems and its improvement. Firstly, based on the SIMULINK of MATLAB, a double-loop simulation with the single-machine-infinite-bus system is built. The simulation experiments of the system under the circumstances of three-phase short circuit and single-phase grounding short circuit faults are then carried out to analyze the parameters such as limit cutting time and voltage. Besides, this paper explores how the controllable series capacitor compensation device and reducing mechanical power output by prime mover improve the transient stability of the system. Experiments show that the stability after fault is under conditions where the fault is removed before the critical clearing time, which can increase the threshold to gain more response time for relay protection devices. Thus, the value of researching and improving system transient stability is proved.
Research Progress of High Entropy Materials as Water Electrolysis Catalysts in Recent Years
Authors: Wu Baizhen
Published: June 2023

Hydrogen energy has drawn considerable attention in recent years, among which the efficient production of hydrogen energy from water electrolysis has become a hot research topic in this field. The oxygen evolution reaction (OER) and the hydrogen evolution reaction (HER) in water electrolysis are the core of the catalytic efficiency. High entropy materials have excellent combinatorial properties due to their "cocktail effect", high entropy effect, slow diffusion effect, and lattice distortion effect. They have outstanding catalytic effect in the process of water electrolysis, and thus become a hot research topic in recent years. This review combines the two hot topics by introducing the up-to-date research progress of high entropy materials in catalyzing water electrolysis. First, evaluation indexes of electrocatalytic performance are explained. Second, this review demonstrates specific materials from the classification of high entropy alloys, high entropy oxides and nitrided high entropy materials, which includes the structure of the materials and their specific catalytic performance. Finally, it summarizes the research progress of high entropy materials in water electrolysis catalysis as well as gives an outlook on the future design direction of the materials.
A coupled radial-torsional lumped parameter model of rubber bushing for multibody dynamic simulations
Authors: Cao Chang , Feng Xingxing , Liu Min
Published: June 2023

Many constitutive models’ finite element (FE) models and lumped parameter models included have been presented for rubber bushings. In general, the FE models cannot be directly used in mechanical multibody systems with bushings, and the lumped parameter models can not consider the coupled modes of deformation of bushings. For this reason, a two-dimensional lumped parameter model for rubber bushings is presented, which considers the coupled radial-torsional deformation and can be easily implemented into mechanical multibody systems. FE method is used to simulate the rubber bushing subjected to a coupled radial-torsional deformation. A procedure to determine the model parameters is presented. The proposed coupled bushing model and a traditional one-dimensional bushing model are applied into a simple multibody system and compared. Simulation results show the coupled radial-torsional behavior of the bushing.
Nonlinear effects-based 1.7 μm fiber lasers: A review and prospect
Authors: Ma Xinning
Published: June 2023

The nonlinear effects in the fiber lasers have always been explored and studied as people are pursuing higher quality fiber lasers in different wavelengths for profound applications. In recent years, 1.7 μm band fiber lasers have received the tremendous attention due to their unique spectral properties in biological imaging, organic gases detection, material processing and other fields. In this paper, the research progress of nonlinear effects-based 1.7 μm fiber lasers is thoroughly reviewed. Meanwhile, the four nonlinear effects applied in 1.7 μm fiber lasers included stimulated Raman scattering (SRS), super-continuum (SC), four-wave mixing (FWM), soliton self-frequency shift (SSFS) are introduced, as well as the principle, characteristics and advantages of each method. In addition, the latest researches on the 1.7 μm fiber lasers based on the hybrid gain are summarized in detail. Finally, the conclusion included the obstacles and adversities is given and the future development tendency of nonlinear effects-based 1.7 μm fiber lasers is prospected.
Research on Anti-loosening Technology of Transmission Line Bolts
Authors: Li Qinghua , Li Maohua , Zhu Binrong , Hu Xiaoguang
Published: June 2023

Transmission lines are affected by the natural environment for a long time, and bolts are prone to frequent vibration, resulting in loosening or falling off. In this paper, the loose mechanism of transmission line threaded connection is analysed, and the transverse vibration comparative test of bolt locking method is carried out. A new type of locking nut has been developed, which has good locking performance and convenient installation. According to different operating environments, the principle of differential bolt locking is proposed.
Des déclarations des aménageurs à leur mise en œuvre. Bilan et perspectives de l’analyse de la base de données nationale des mesures de compensation
Authors: Gelot Salomée , Bigard Charlotte
Published: June 2023

L’analyse quantitative de la base nationale des mesures de compensation écologique (GéoMCE) permet d’apporter une vision à l’échelle nationale de la pratique de la compensation : 38 % des mesures sont de type « création » et 60 % sont déclenchées via la procédure de dérogation d’espèces protégées. Très peu d’entre elles sont présentes sur des surfaces artificialisées (8 %). L’analyse qualitative réalisée met en évidence l’existence d’un décalage entre les mesures de compensation auxquelles les maîtres d’ouvrage s’engagent réglementairement et les mesures effectivement mises en œuvre sur le terrain. Ce dernier résultat illustre l’intérêt d’un tel outil pour assurer la transparence des mesures de compensation. Enfin, est discutée la possibilité d’atteindre l’objectif d’absence de perte nette de biodiversité à l’heure où il s’agit de s’inscrire dans une trajectoire visant le « Zéro Artificialisation Nette ».
Fondements pour une géographie plus qu’humaine durewilding : revue de littérature et proposition de définition
Authors: Dehaut Salomé
Published: June 2023

Lerewildingest un terme récent mais déjà polysémique, ce qui donne lieu à des critiques relatives à la cohérence des projets s’en réclamant ainsi qu’à leur capacité à proposer une nouvelle direction pour l’action écologique. Sa définition la plus directe, comme principe d’action écologique visant à rendre un élément (espace, espèce, écosystème) à nouveau sauvage, pose elle-même question. Le recours à la notion d’autonomie plus qu’humaine permet de surmonter ces critiques : les initiatives derewildingimpliquent un décentrement des êtres humains de l’action écologique et sont à envisager comme des agencements humains/autres qu’humains sans but prédéfini. L’approche de géographie plus qu’humaine apporte une nouvelle perspective à l’étude de cet objet et plus largement à la réflexion sur les relations au sauvage et au vivant dans son ensemble.
Integration of digital imagery for topology optimization
Authors: Atmani Zoubir , Iung Alexis , Radoux Jean-Pierre , Lebaal Nadhir
Published: June 2023

To manufacture high-quality products with low manufacturing costs and optimal performance, better design concepts are required. The initial design concept can lead to inefficient structural design and higher manufacturing costs if the topology is not optimal. Topology optimization enables designers to reach their design goals faster, more accurately, and cost-effectively. However, the geometry obtained through topology optimization is not manufacturing-ready due to non-smooth boundaries and gray level images, which require post-processing design implementation by engineers. Various researchers have used different image processing techniques to convert the gray image into a binary map to address this issue. This paper focuses on using image processing to evaluate the differences in optimal designs induced by meshing. This study aims to aid in the parametric understanding of different designs targeting the same application by introducing two new parameters: similarity ratio and conformity ratio. The results compare an optimal geometry obtained using structured and unstructured meshes. Topological optimization algorithms applied to mechanical problems allow for reducing a structure's mass while ensuring its rigidity. However, the final structures may differ for the same problem depending on whether they were meshed regularly or irregularly. This article characterizes the differences between the two final structures using an image processing approach.
Klinische Studien zur Prävention und Therapie von Diabetes
Authors: Schick Renate , Birkenfeld Andreas , Roden Michael , Ziegler Anette-G. , Fröhlich Brigitte
Published: June 2023

Klinische Studien zu Diabetes mellitus sind nicht nur entscheidend für die Zulassung neuer Arzneimittel. Sie testen auch etablierte Präventionsmaßnahmen und Therapieformen und schaffen neue Erkenntnisse zu Ursachen und Mechanismen der unterschiedlichen Krankheitsverläufe des Diabetes und seiner Folgen. Aktuelle Fragestellungen dazu bearbeiten die Partner des Deutschen Zentrums für Diabetesforschung (DZD) gemeinsam im Rahmen von Multicenterstudien. Unter anderem zeigen diese Studien, dass die Diabeteserkrankung, aber auch bereits Prädiabetes sehr heterogen sind. Diese einzelnen Subtypen haben spezifische Risiken für den weiteren Krankheitsverlauf und die Entwicklung von Komorbiditäten und Komplikationen. Das DZD sucht laufend Teilnehmer*innen für klinische Studien, die u. a. das individuelle Ansprechen auf innovative Lebensstil- und Arzneimitteltherapien prüfen.
Ipsilateral Uterine Artery Access Through Unilateral Transfemoral Approach Using Simple-Curve Catheter
Authors: Lal Anupam , Vijayvergiya Rajesh , Singhal Manphool
Published: June 2023

Uterine artery embolization (UAE) is a technique for management of various obstetrical and gynecological problems. Transfemoral approach (TFA) is preferred which can be unilateral or bilateral; however, unilateral puncture is preferred due to lesser chances of puncture-related complications as compared to bilateral puncture. UAE through unilateral TFA is possible with use of reverse loop catheters (Roberts uterine catheter [RUC] or Gandras catheter) to access ipsilateral uterine artery. Other way of cannulating the ipsilateral uterine artery is by maneuvering catheters to form Waltman's loop/Simmon's reverse loop. With advent of RUC, unilateral TFA became standard of care. In the recent past, RUC was retracted from Indian market and its nonavailability had mandated use of either bilateral TFA or use of catheters and techniques used in the past for unilateral TFA. Herein, we describe a technique of doing UAE by unilateral TFA using simple gentle curve catheter (Picard) by making a reverse curve loop.