bluuebunny/crossref_metadata_2025 huggingface dataset:
Modelling protein complexes with crosslinking mass spectrometry and deep learning
Authors: Stahl Kolja , Warneke Robert , Demann Lorenz , Bremenkamp Rica , Hormes Björn , Brock Oliver , Stülke Jörg , Rappsilber Juri
Published: September 2024

Scarcity of structural and evolutionary information on protein complexes poses a challenge to deep learning-based structure modelling. We integrate experimental distance restraints obtained by crosslinking mass spectrometry (MS) into AlphaFold-Multimer, by extending AlphaLink to protein complexes. Integrating crosslinking MS data substantially improves modelling performance on challenging targets, by helping to identify interfaces, focusing sampling, and improving model selection. This extends to single crosslinks from whole-cell crosslinking MS, opening the possibility of whole-cell structural investigations driven by experimental data. We demonstrate this by revealing the molecular basis of iron homoeostasis in Bacillus subtilis.
Brief Communication: Confocal microscopy of oral streptococcal biofilms grown in simulated microgravity using a random positioning machine
Authors: Rice Kelly C. , Davis Ke Aira T.
Published: September 2024

Biofilms are a concern for spaceflight missions, given their propensity for biofouling systems and their potential threat to astronaut health. Herein, we describe a random positioning machine-based method for growing fluorescent protein-expressing streptococcal biofilms under simulated microgravity. Biofilms can be subsequently imaged by confocal microscopy without further manipulation, minimizing disruption of architecture. This methodology could be adaptable to other bacteria, potentially standardizing biofilm growth and study under simulated microgravity.
Strong and high-conductivity hydrogels with all-polymer nanofibrous networks for applications as high-capacitance flexible electrodes
Authors: He Huimin , Chen Yaqing , Pu Aoyang , Wang Li , Li Wenxiu , Zhou Xiaoyu , Tang Chuyang Y. , Ban Kiwon , Yang Mengsu , Xu Lizhi
Published: September 2024

Flexible devices, such as soft bioelectronics and stretchable supercapacitors, have their practical performance limited by electrodes which are desired to have high conductivity and capacitance, outstanding mechanical flexibility and strength, great electrochemical stability, and good biocompatibility. Here, we report a simple and efficient method to synthesize a nanostructured conductive hydrogel to meet such criteria. Specifically, templated by a hyperconnective nanofibrous network from aramid hydrogels, the conducting polymer, polypyrrole, assembles conformally onto nanofibers through in-situ polymerization, generating continuous nanostructured conductive pathways. The resulting conductive hydrogel shows superior conductivity (72 S cm−1) and fracture strength (27.2 MPa). Supercapacitor electrodes utilizing this hydrogel exhibit high specific capacitance (240 F g−1) and cyclic stability. Furthermore, bioelectrodes of patterned hydrogels provide favorable bioelectronic interfaces, allowing high-quality electrophysiological recording and stimulation in physiological environments. These high-performance electrodes are readily scalable to applications of energy and power systems, healthcare and medical technologies, smart textiles, and so forth.
ATP-based assessments of recent cleaning and disinfection for high-touch surfaces in low-resource shared toilets
Authors: Prentice-Mott Graeme , Maru Lorna , Kossik Alexandra , Mugambi Evelyn Makena , Ombok Cynthia , Odinoh Raymond , Mwikali Florence , Rosenberg Ruthie , Ngere Isaac , Murphy Jennifer , Berendes David
Published: September 2024

Quality improvements and reduction of disease risk for low-resource shared sanitation facilities require cleanliness assessment approaches that are both rigorous and practical. Using Adenosine Triphosphate (ATP) bioluminescence testing, we assessed contamination on high-touch (HT) surfaces (inner door handles) at 32 shared toilet sites in Kisumu, Kenya. In public toilets, contamination was lowest after cleaning and disinfection (C&D) with 0.5% chlorine solution (adjusted difference in mean log10 Relative Light Units per 100 cm2 (aDiff): −1.61; CI: −2.43, −0.59), followed by C&D with 0.1% chlorine solution (aDiff: −1.16; CI: −1.77, −0.55). ATP levels were not associated with overall observable toilet cleanliness and had poor agreement with visually assessed HT surface cleanliness. Our findings demonstrate the utility of this field-feasible method for detecting the impact of recent C&D in low-resource shared toilets, a novel setting for ATP cleanliness testing, while also highlighting the importance of using effective C&D procedures and addressing HT surfaces within cleaning protocols.
Winter arctic sea ice volume decline: uncertainties reduced using passive microwave-based sea ice thickness
Authors: Soriot Clement , Vancoppenolle Martin , Prigent Catherine , Jimenez Carlos , Frappart Frédéric
Published: September 2024

Arctic sea ice volume (SIV) is a key climate indicator and memory source in sea ice predictions and projections, yet suffering from large observational and model uncertainty. Here, we test whether passive microwave (PMW) data constrain the long-term evolution of Arctic SIV, as recently hypothesized. We find many commonalities in Arctic SIV changes from a PMW sea ice thickness (SIT) 1992-2020 time series reconstructed with a neural network algorithm trained on lidar altimetry, and the reference PIOMAS reanalysis: relatively low differences in SIV mean (4615 km3, 37%), SIV trends (46 km3/yr, 17%), and phased variability (r2=0.55). Key to reduced differences is the consistent evolution of many SIV contributors: seasonal and perennial ice coverage, their SIT contrast, whereas perennial SIT provides the largest remaining uncertainty source. We argue that PMW includes useful SIT information, reducing SIV uncertainty. We foresee progress from sea ice reanalyses combining dynamical models and data assimilation of PMW SIT estimates, in addition to the already assimilated PWM sea ice concentration.
Detection and quantification of groundnut oil adulteration with machine learning using a comparative approach with NIRS and UV–VIS
Authors: Zaukuu John-Lewis Zinia , Adam Manal Napari , Nkansah Abena Amoakoa , Mensah Eric Tetteh
Published: September 2024

Groundnut oil is known as a good source of essential fatty acids which are significant in the physiological development of the human body. It has a distinctive fragrant making it ideal for cooking which contribute to its demand on the market. However, some groundnut oil producers have been suspected to produce groundnut oil by blending it with cheaper oils especially palm olein at different concentrations or by adding groundnut flavor to palm olein. Over the years, there have been several methods to detect adulteration in oils which are time-consuming and expensive. Near infrared (NIR) and ultraviolet–visible (UV–Vis) spectroscopies are cheap and rapid methods for oil adulteration. This present study aimed to apply NIR and UV–Vis in combination with chemometrics to develop models for prediction and quantification of groundnut oil adulteration. Using principal component analysis (PCA) scores, pure and prepared adulterated samples showed overlapping showing similarities between them. Linear discriminant analysis (LDA) models developed from NIR and UV–Vis gave an average cross-validation accuracy of 92.61% and 62.14% respectively for pure groundnut oil and adulterated samples with palm olein at 0, 1, 3, 5, 10, 20, 30, 40 and 50% v/v. With partial least squares regression free fatty acid, color parameters, peroxide and iodine values could be predicted with R2CV’s up to 0.8799 and RMSECV’s lower than 3 ml/100 ml for NIR spectra and R2CV’s up to 0.81 and RMSECV’s lower than 4 ml/100 ml for UV–Vis spectra. NIR spectra produced better models as compared to UV–Vis spectra.
Gaze behavior in open-angle glaucoma patients during visuo-cognitive-motor tasks: a cross-sectional study
Authors: Freitag Constantin W. , Behrens Martin , Bielitzki Robert , Al-Nosairy Khaldoon O. , Stolle Francie H. , Prabhakaran Gokulraj T. , Beyer Rosalie , Thieme Hagen , Hoffmann Michael B. , Schega Lutz
Published: September 2024

This study investigated gaze behavior during visuo-cognitive-motor tasks with a change of movement direction in glaucoma patients and healthy controls. Nineteen glaucoma patients (10 females, 9 males) and 30 healthy sighted controls (17 females, 13 males) participated in this cross-sectional study. Participants performed two visuo-cognitive-motor tasks with a change of movement direction: (i) the “Speed-Court-Test” that involved stepping on different sensors in response to a visual sign displayed on either a large or small screen (165″ and 55″, respectively); (ii) the “Trail-Walking-Test” that required walking to 15 cones labeled with numbers (1–8) or letters (A-G) in an alternately ascending order. During these tasks, the time needed for completing each task was determined and the gaze behavior (e.g., saccade duration, fixation duration) was recorded via eye tracking. Data were analyzed with repeated measures analyses of covariance (ANCOVA; GROUP × SCREEN) and one-way ANCOVA. No differences between groups were found for the time needed to complete the tasks. However, during the “Trail-Walking-Test”, the fixation duration was longer for glaucoma patients than for controls (p = 0.016, $${\upeta }_{\text{p}}^{2}$$

η

p

2

 = 0.131). Furthermore, during the “Speed-Court-Test”, there was a screen size effect. Irrespective of group, saccade amplitudes were lower (p < 0.001, $${\upeta }_{\text{p}}^{2}$$

η

p

2

 = 0.242) and fixation durations were higher (p = 0.021, $${\upeta }_{\text{p}}^{2}$$

η

p

2

 = 0.125) for the small screen. Fixation durations were longer in glaucoma patients during the cognitively demanding “Trail-Walking-Test”, which might indicate a strategy to compensate for their visual impairment.
Revealing regional variations in scleral shear modulus in a rabbit eye model using multi-directional ultrasound optical coherence elastography
Authors: Villegas Lupe , Zvietcovich Fernando , Marcos Susana , Birkenfeld Judith S.
Published: September 2024

The mechanical properties of the sclera play a critical role in supporting the ocular structure and maintaining its shape. However, non-invasive measurements to quantify scleral biomechanics remain challenging. Recently introduced multi-directional optical coherence elastography (OCE) combined with an air-coupled ultrasound transducer for excitation of elastic surface waves was used to estimate phase speed and shear modulus in ex vivo rabbit globes (n = 7). The scleral phase speed (12.1 ± 3.2 m/s) was directional-dependent and higher than for corneal tissue (5.9 ± 1.4 m/s). In the tested locations, the sclera proved to be more anisotropic than the cornea by a factor of 11 in the maximum of modified planar anisotropy coefficient. The scleral shear moduli, estimated using a modified Rayleigh-Lamb wave model, showed significantly higher values in the circumferential direction (65.4 ± 31.9 kPa) than in meridional (22.5 ± 7.2 kPa); and in the anterior zone (27.3 ± 9.3 kPa) than in the posterior zone (17.8 ± 7.4 kPa). The multi-directional scanning approach allowed both quantification and radial mapping of estimated parameters within a single measurement. The results indicate that multi-directional OCE provides a valuable non-invasive assessment of scleral tissue properties that may be useful in the development of improved ocular models, the evaluation of potential myopia treatment strategies, and disease characterization and monitoring.
Hydrogen adsorption on fcc metal surfaces towards the rational design of electrode materials
Authors: Lousada Cláudio M. , Kotasthane Atharva M.
Published: September 2024

The successful large-scale implementation of hydrogen as an energy vector requires high performance electrodes and catalysts made of abundant materials. Rational materials design strategies are the most efficient means of reaching this goal. Here we present a study on the adsorption of H-atoms onto fcc transition metal surfaces and propose descriptors for the rational design of electrodes and catalysts by means of correlations between fundamental properties of the materials and among other properties, their experimentally measured performance as hydrogen evolution electrodes (HEE). A large set of quantum mechanical modelling data at the DFT level was produced, covering the adsorption of H-atoms onto the most stable surfaces (100), (110) and (111) of: Ag, Au, Co, Cu, Ir, Ni, Pd, Pt and Rh. For each material and surface, a coverage dependent set of minimum energy structures was produced and chemical potentials for adsorption of H-atoms were obtained. Averaging procedures are here proposed to approach modelling to the experiments. Several correlations between the computed data and experimentally measured quantities are done to validate our methodology: surface plane dependent adsorption energies, chemical potentials and experimentally determined surface energies and work functions. We search for descriptors of catalytic activity by testing correlations between the DFT data obtained from our averaging procedures and experimental data on HEE performance. Our methodology allows us to obtain linear correlations between the adsorption energy of H-atoms and the exchange current density (i0) in a HEE, avoiding the volcano-like plots. We show that the chemical potential has limitations as a descriptor of i0 because it reaches an early plateau in terms of i0. Simple quantities obtained from database data such as the first stage electronegativity (χ) as devised by Mulliken has a strong linear correlation i0. With a quantity we denominate modified second-stage electronegativity (χ2m) we can reproduce the typical volcano plot in a correlation with i0. A theoretical and conceptual framework is presented. It shows that both χ and χ2m, that depend on the first ionization potential, second ionization potential and electron affinity of the elements can be used as descriptors in rational design of electrodes or of catalysts for hydrogen systems.
Demonstration of in-vivo simultaneous 3D imaging with 18F-FDG and Na131I using Compton–PET system
Authors: Kim Donghwan , Yan Linlin , Shimazoe Kenji , Takahashi Hiroyuki , Ogane Kenichiro , Yoshino Masao , Kamada Kei , Uenomachi Mizuki
Published: September 2024

Simultaneous imaging of the SPECT tracer 131I and PET tracer 18F is important in the diagnosis of high- and low-grade thyroid cancers because high-grade thyroid cancers have high 18F-FDG and low 131I uptake, while low-grade thyroid cancers have high 131I and low 18F-FDG uptake. In this study, Na131I and 18F-FDG were simultaneously imaged using the Compton-PET system, in vivo. The angular resolution and sensitivity of the Compton camera with 356 keV gamma ray measured using a 133Ba point source were 12.3° and 2 × 10−5, respectively. The spatial resolution and sensitivity of PET were measured with a 22Na point source. The transaxial and axial spatial resolutions of the PET at the center of the FOV were 1.15 mm and 2.04 mm, respectively. Its sensitivity was 1.2 × 10−4. In-vivo images of the 18F and 131I isotopes were simultaneously acquired from mice. These showed that 18F-FDG was active in the heart, brown fat, and brain, while Na131I was active in the thyroid, stomach, and bladder. Artifacts were found in the Compton camera images when the activity of 131I was much lower than that of 18F. This study demonstrates the potential of simultaneous clinical imaging of 18F and 131I.
Earth observation data uncover green spaces’ role in mental health
Authors: Araújo Leonardo D. , Zanotta Daniel C. , Ray Nicolas , Veronez Maurício R.
Published: September 2024

The prevalence of mental health disorders, a key disability cause, is linked to demographic and socioeconomic factors. However, limited data exists on mental health and the urban environment. Urbanization exposes populations to environmental stressors, particularly affecting low-middle-income countries with complex urban arrangements. We used remote sensing and census data to investigate potential connections between environmental factors and mental health disorders. Land cover variables were assessed using the European Space Agency (ESA) global WorldCover product at 10 m resolution together with the database of mental health diagnosed cases (n = 5769) from the Brazilian Unified Health System’s Department of Informatics (DATASUS) from every health facility of the city of Porto Alegre. The association of mental health data with land cover was established with machine learning algorithms and polynomial regression models. The results suggest that higher trees cover at neighborhood level was associated with better mental health index. A lower mental health index was also found to be associated with an higher Human Development Index. Our results highlight the potential of greenness in the city environment to achieve substantially better mental health outcomes.
Mesenchymal stem cell cryopreservation with cavitation-mediated trehalose treatment
Authors: Fuenteslópez Carla V. , Gray Michael , Bahcevanci Simge , Martin Alexander , Smith Cameron A. B. , Coussios Constantin , Cui Zhanfeng , Ye Hua , Patrulea Viorica
Published: September 2024

Dimethylsulfoxide (DMSO) has conventionally been used for cell cryopreservation both in research and in clinical applications, but has long-term cytotoxic effects. Trehalose, a natural disaccharide, has been proposed as a non-toxic cryoprotectant. However, the lack of specific cell membrane transporter receptors inhibits transmembrane transport and severely limits its cryoprotective capability. This research presents a method to successfully deliver trehalose into mesenchymal stem cells (MSCs) using ultrasound in the presence of microbubbles. The optimised trehalose concentration was shown to be able to not only preserve membrane integrity and cell viability but also the multipotency of MSCs, which are essential for stem cell therapy. Confocal imaging revealed that rhodamine-labelled trehalose was transported into cells rather than simply attached to the membrane. Additionally, the membranes were successfully preserved in lyophilised cells. This study demonstrates that ultrasonication with microbubbles facilitated trehalose delivery, offering promising cryoprotective capability without the cytotoxicity associated with DMSO-based methods.
Certification and long-term stability monitoring of low-content folic acid and 5-methyltetrahydrofolate in human plasma certified reference material by isotope dilution ultra-high performance liquid chromatography/tandem mass spectrometry
Authors: Hyung Seok-Won , Lee Joonhee , Kim Byungjoo , Lee Sunyoung , Baek Song-Yee , Han JeeSoo
Published: September 2024

A reliable measurement of blood folate levels is necessary to prevent diseases. This human plasma certified reference material can be used to establish the analytical method for low-content folic acid and 5-methyltetrahydrofolate.
Exploring honey's potential as a functional food for natural sleep aid
Authors: Zulkifli Muhammad Faiz , Masimen Mohammad Asyraf Adhwa , Ridzuan P. M. , Wan Ismail Wan Iryani
Published: September 2024

This study explores honey as a natural remedy for sleep disorders, highlighting its unique properties and soothing effects. The findings suggest that honey may improve sleep quality without drugs, though more research is needed on its holistic use.
Recent advances in dietary polyphenols (DPs): antioxidant activities, nutrient interactions, delivery systems, and potential applications
Authors: Ran Yalin , Li Fuhua , Xu Zhigang , Zeng Kaihong , Ming Jian
Published: September 2024

The antioxidant capacity of DPs is determined by internal chemical structures and environmental factors. Green delivery systems help improve their bioactivities and bioavailability, providing great options for personalized food and nutrition.
Exploring apoptotic induction of malabaricone A in triple-negative breast cancer cells: an acylphenol phyto-entity isolated from the fruit rind of Myristica malabarica Lam.
Authors: Vimalkumar Pothiyil S. , Sivadas Neethu , Murali Vishnu Priya , Sherin Daisy R. , Murali Madhukrishnan , Joseph Anuja Gracy , Radhakrishnan Kokkuvayil Vasu , Maiti Kaustabh Kumar
Published: September 2024

Malabaricone A isolated from Myristica malabarica induces apoptosis in triple-negative breast cancer cells through intrinsic and extrinsic pathways, which is validated through in vitro and in silico studies and resembles a potent phyto-entity.
Synthesis of quinoxalines and assessment of their inhibitory effects against human non-small-cell lung cancer cells
Authors: Liang Jia-Hua , Cho Shu-Tse , Shih Tzenge-Lien , Chen Jih-Jung
Published: September 2024

Twenty-six quinoxalin derivatives were synthesized to assess their biological activities against human non-small-cell lung cancer cells (A549 cells). Among them, compound 4m exhibited the most potent inhibitory activity against A549 cells.
Leveraging ligand-based proton and electron transfer for aerobic reactivity and catalysis
Authors: Jesse Kate A. , Anderson John S.
Published: September 2024

O2 is an attractive oxidant but it is also kinetically inert which limits its use in synthetic transformations. Metal–ligand cooperativity is a promising biomimetic strategy to activate O2 for oxidative reactivity and catalysis.
Efficient solar-driven electrocatalytic nitrate-to-ammonia conversion by 2D ultrathin Fe single-atom catalysts
Authors: Li Ji , Zhong Weiqi , Wu Kai , Petit Eddy , Lajaunie Luc , Qi Kun , Zhang Yang , Wu Huali , Liu Jiefeng , Heng Jing , Wang Xuechuan , Han Qingxin , Qiang Taotao , Voiry Damien
Published: September 2024

Ultra-thin 2D Fe-SACs synthesized via a pyrolysis process using a salt template, exhibit high activity for the electrochemical nitrate reduction reaction. Solar cells integrated with 2D Fe-SACs hold great promise for green ammonia production and nitrate removal from water bodies.
Enhanced ORR performance with biomass-derived freestanding catalyst layers: advancing mass transport in gas diffusion electrodes
Authors: Wang Mengnan , Zhang Jiaguang , Kellner Simon , Stephens Ifan E. L. , Titirici Maria-Magdalena
Published: September 2024

Bioderived hierarchical electrodes from lignin significantly enhance mass transport and electrochemical performance in PEMFCs, offering a sustainable and efficient solution for next-generation fuel cell technologies.
Constructing metallosalen poly(ionic liquid)s to boost photocatalytic CO2 reduction
Authors: Chen Xi , Zhou Wei , Fang Xu , Li Cheng , Cong Die , Yu Tie , Deng Wei-Qiao , Liu Chengcheng
Published: September 2024

Metallosalen-based poly(ionic liquid)s significantly boost solar syngas production, with pyridine ions aiding electron transfer from the lightharvester to the catalytic site.
Characterization, oxidative desulfurization performance evaluation and the catalytic reaction mechanism of polyoxometalate-coated, semi-encapsulated heart-shaped metal organic frameworks
Authors: Sun Zhengxiang , Wang Rui
Published: September 2024

The oxidative desulfurisation process is a subject of considerable interest at present due to the mild reaction conditions, good selectivity, and significant removal efficiency for aromatic sulphides and the promise of ultra-deep desulfurisation.
Dendrimer nanoclusters loaded with gold nanoparticles for enhanced tumor CT imaging and chemotherapy via an amplified EPR effect
Authors: Mekuria Shewaye Lakew , Li Gaoming , Wang Zhiqiang , Girma Wubshet Mekonnen , Li Aiyu , He Meijuan , Wang Han , Hameed Meera Moydeen Abdul , EL-Newehy Mohamed , Shi Xiangyang , Shen Mingwu
Published: September 2024

Dendrimer nanoclusters that can be co-loaded with gold nanoparticles and doxorubicin enable enhanced CT imaging and chemotherapy of tumors through an amplified EPR effect.
Time-dependent room temperature phosphorescent colors from a sulfur-doped carbon dot-based composite for advanced information encryption and anti-counterfeiting applications
Authors: Bao Xin , Sun Wenquan , Tian Zhen , Wang Hui , Zhu Xiaodong , Qian Zixuan , Li Hui , Yuan Xi
Published: September 2024

Sulfur doping regulates the bandgap of the carbon dots, and time-dependent afterglow color emission is realized in a carbon dot-based composite via the multiple triplet emissions with distinct lifetimes.
Scalable decoration of Au nanoparticles on Al nanoconcavity arrays for highly enhanced SERS detection
Authors: Dar Gohar Ijaz , Xifre-Perez Elisabet , Marsal Lluis F.
Published: September 2024

High sensitivity surface-enhanced Raman spectroscopy (SERS) detection platforms are developed based on Al nanoconcavity array templates with Au nanoparticles assembled via sputtering and thermal treatment.
Low‐complexity algorithms for generating frequency hopping sequences with good aperiodic hamming correlation property
Authors: Yang Shifu , Xu Zhe , Jiang Kaichuang , Liu Xing
Published: September 2024

In this letter, novel methods for quickly generating frequency hopping (FH) sequences with good out‐of‐phase peak aperiodic Hamming auto‐correlation (PAHAC) property are proposed. Compared with brute‐force search algorithm, the proposed algorithms have an obvious advantage on their time complexity. Results show that the algorithms can generate FH sequences with optimal/quasi‐optimal PAHAC performance in all tested cases.
Sparse representation for massive MIMO satellite channel based on joint dictionary learning
Authors: Guan Qing yang , Wu Shuang
Published: September 2024

A constrained joint dictionary learning (CJDL) algorithm for high‐precision channel representation in massive multiple input multiple output (MIMO) satellite systems is proposed. Furthermore, taking into account the angular reciprocity of massive MIMO satellite systems, joint dictionary learning can establish a common support basis for both uplink and downlink. Previous deterministic dictionary has utilized deterministic basis, such as discrete Fourier transform (DFT) or orthogonal DFT (ODFT) basis, which tend to represent noise interference as part of channel characteristics. Furthermore, this deterministic dictionary is not able to adapt to dynamic communication environments. However, dictionary learning has shown the potential to significantly improve the accuracy of channel representation. Nevertheless, current research on training dictionary lacks analysis regarding constraints and boundary requirements, resulting in a suboptimal basis. To address this issue, conditional constraints associated with joint dictionary for channel representation are analysed. To screen for optimal basis, the joint dictionary is subject to constraints, including uplink and downlink constraints. Furthermore, the authors aim to quantify the maximum boundary of joint dictionary learning. Additionally, a joint dictionary updating method with singular value decomposition under constraint boundary conditions is proposed. Simulation results demonstrate that the proposed CJDL algorithm provides a more accurate and robust channel representation.
Small signal analysis of DC voltage control based on a virtual resistance of DC/DC converter integrated in a multiterminal DC grid
Authors: Shafique Ghazala , Boukhenfouf Johan , Gruson François , Samimi Shabab , Colas Frédéric , Guillaud Xavier
Published: September 2024

The future multi‐terminal direct‐current (MTDC) grid will require the interconnection of point‐to‐point high‐voltage (HV) DC links with different specifications such as DC voltage level, system grounding configuration and HVDC technology. To adapt these differences, it is obligatory for DC/DC converters to interconnect HVDC links. Additionally, they are capable of providing supplementary functionalities as they are highly controllable devices. In this article, a primary virtual resistance DC voltage controller associated with DC/DC converter is proposed for managing DC grid voltages of the interconnected HVDC grids, increasing the reliability of the system. The commonly known topology, Front‐to‐Front Modular Multilevel Converter (F2F‐MMC) is adopted for DC/DC converter. Time‐domain simulations are performed using EMTP software for validating the controller behaviour under power disturbances and large events of loss of one converter in a MMC‐based MTDC system. The converters are modelled using reduced order modelling (ROM) methodology. Apart from this, dynamic studies have been carried out using a linear state space model for small‐signal stability analysis of a HVDC system integrating DC/DC converter with a virtual resistance DC voltage controller. The results are examined through parametric sensitivity analysis.
Research on Cost Optimization of Prefabricated Buildings Based on Genetic Algorithm
Authors: Li Xiaomeng
Published: September 2024

For large-scale construction projects, adopting traditional construction methods has obvious drawbacks, such as long construction cycles, difficulty in ensuring project quality, high labor costs, and poor construction site environment. In order to solve the problems of cost management in prefabricated buildings, this paper studies the characteristics of prefabricated buildings and the principles, processes, and applicability of genetic algorithms. On this basis, the specific application of genetic algorithm in the cost optimization of prefabricated buildings is analyzed, in order to effectively improve the effectiveness of construction cost management and provide reference for relevant personnel.
Quantitative assessment of personal risk during storm surge disaster
Authors: Zhang Suming , Jie Zhang , Xiaomin Li
Published: September 2024

Storm surge is the most severe marine disaster in China, threatening the lives of coastal residents. Quantitative assessment of personal risk is an important prerequisite for identifying risk areas and designing emergency strategies. This paper aims to propose an economical and efficient quantitative assessment method for personal risk under storm surge disasters, including the assessment of the affected population and emergency relocation population, as well as their number and distribution. Remote Sensing products and Geographic Information System (GIS) technologies are used to form a technical framework, including the method of inundation scenario construction and personal risk assessment, which is realized by GIS spatial analysis. Based on the technical framework, the personal risk caused by “Hato” in Guangdong was assessed. The results show that the affected population is concentrated in the Pearl River Delta and dispersed in surrounding cities. The number of the affected population is assessed as 1,032,455, with an accuracy of 91.48%. The emergency relocation population is concentrated in the coastal areas of Guangzhou, Dongguan and Zhuhai, which have high population density and are far from the safety or partial safety zone. The number of the emergency relocation population is assessed as 199,973, with an accuracy of 87.25%. “Hato” verified that this method is economical, efficient, and accurate. It is expected to enrich and develop the theories and methods of personal risk assessment.
Coupling Study on Risk Factors of Safety Accidents in Chemical Enterprises Based on N-K Model
Authors: Xiang Xuchen , Dou Mingyuan
Published: September 2024

In order to study the risk coupling characteristics of chemical safety accidents, risk classification and risk factor identification of chemical safety accidents are carried out, the coupling mode of chemical safety accident risk factors is analyzed, and an N-K model based on complex network is constructed. Based on the data of major chemical safety accidents in China from 2010 to 2020, the probability and risk coupling values of different risk coupling forms are calculated and the coupling forms with strong coupling are analyzed. The results indicate that the more risk factors involved in the coupling, the greater the risk possibility of safety accidents. In the risk coupling, management and equipment technical factors are the key coupling factors, so management and equipment maintenance should be strengthened. The coupling form with strong coupling should be avoided as far as possible to reduce or eliminate the occurrence of chemical safety accidents.
Challenges and Opportunities in Transforming Rural Industrial Heritage: The Bingcun Cement Plant Case Study
Authors: Mou Lin , Chiu Chenyuan , Lan Keran , Yang Chenyang , Gan Zhongkai
Published: September 2024

This article examines the protection and renewal design of rural industrial heritage using the Bingcun Cement Factory in Bingcun Town, Meizhou District, Meizhou City, Guangdong Province, China as a case study. It delves into the challenges and opportunities faced by rural industrial heritage in the context of cultural preservation and rural revitalization. By conducting on-site investigations at the Bingcun Cement Plant, a comprehensive design strategy encompassing spatial layout, planning guidance, architecture, and environmental considerations was developed. The strategy focuses on spatial optimization, architectural restoration, environmental enhancement, and ecological restoration, aiming to transform industrial heritage sites into cultural attractions with educational and aesthetic value, while also fostering rural economic and cultural vibrancy. The article concludes by suggesting that sustainable development of rural industrial heritage can be achieved through heritage preservation, integration into local culture, and multifaceted regional planning.
Research on wireless acquisition and analysis system of gateway table data based on improved ACO algorithm
Authors: An Chao , Wang Minzhe , Lv Lianxin
Published: September 2024

In the past two years, due to the frequent combination of extreme weather and high primary energy prices and other factors, resulting in the continuous tension of power supply and demand in many places, the risk of power rationing has gradually increased. In order to implement the strategic decision deployment of the Party Central Committee and The State Council, in the context of “carbon peak, carbon neutral” strategy to ensure the security of power supply work. This paper studies the construction of a load management system for the goal of power supply assurance. Through the overall analysis and unified management of the province’s load, it realizes the transformation from one-way load management to users’ active participation in grid interaction through the construction of system structure, policies, mechanism, and the creation and deepening of fine management application functions such as load forecasting, monitoring, and analysis, and effectively alleviates the imbalance between supply and demand. Ensure the safe and reliable supply of electricity, ensure people’s livelihood electricity, and provide strong support for achieving the “two carbon” goal.
The Impact of Flexible Supply Chain on Innovation Performance Based on Data Analysis Capability-A Case Study of the Cross-border E-commerce Industry
Authors: Kong Yuxia , Suntrayuth Sid , Lin Feng
Published: September 2024

With the developing of information technology and cross-border e-commerce industry, the advancement of big data technology allows for better representation and satisfaction of consumer needs. Flexible supply chain has become a new focus for cross-border e-commerce enterprises. This study distributed 215 survey questionnaires and, from the perspective of data analysis capability, analyzed the impact of flexible supply chain on enterprise innovation performance. The results show that data analysis capability and flexible supply chain have a significant positive impact on innovation performance; data analysis capability have a significant positive impact on flexible supply chain; flexible supply chain acts as an intermediary variable, playing a partial mediating effect between data analysis capability and innovation performance. This provides effective theoretical guidance on how the cross-border e-commerce industry can better understand changes in consumer demand in the era of big data, achieve product innovation, and performance growth.
The Price of Anarchy in Oligopolistic Market Equilibrium: The Two-Sided Supply Chain Network Case
Authors: Hou Heyin
Published: September 2024

Equilibrium conditions for the centralized and for the decentralized oligopolistic markets, which can be viewed as a two-sided supply chain network, are defined and determined. Then after, the price of anarchy (PoA) in oligopolistic market is defined and determined. And more, through numerical simulations, sensitivity analysis on equilibrium results for the centralized and for the centralized oligopolistic market is conducted and a wealth of (but may conflicting) insights are brought forth.
Survey on Sensor based Fall Assistance System for Elderly
Authors: Liu Yuhao
Published: September 2024

Falling is one of the main factors causing injuries to the elderly. However, there is a lack of comprehensive review surveys in this field. This paper systematically summarizes the relevant studies in recent years. First, considering the duration of fall prevention, this paper divides fall prevention into fall injury prevention and fall behavior prevention; then in order to comprehensively study fall detection and prediction, this paper divides relevant studies into environmental sensors and wearable sensors according to the different used sensors. According to current research, this paper also proposes a full-process architecture for fall assistance, which integrates multiple sensors and algorithms. Finally, the trends and challenges of fall-related research from four aspects are summarized.
How Does New Quality Productive Forces Affect High-Quality Development in Tourism Industry
Authors: Zhao Yi , Liu Xuelian , Mu Zhendi , Li Yang , Zou Tongqian
Published: September 2024

Tourism has emerged as a vital driver for global economic growth and development. However, amidst the relentless pursuit of tourist arrivals and financial gains, there is growing recognition of the importance of prioritizing quality over quantity in tourism development. This study explores the concept of new quality productive forces and their implications for achieving high-quality development within tourism. It examines the multifaceted dimensions of new quality productive forces, including innovation, efficiency, and sustainability, and elucidates the transformative potential of new quality productive forces in reshaping the tourism operating and fostering long-term economic resilience and sustainability.
The company ESG activities factors driving consumers purchase intention in China live commerce-taking pro environmental products as an example explain
Authors: Xue Xiaobo , Keun Park Seong , Liu YuJia
Published: September 2024

With the increase of concern of the Sustainable Development, the importance of the emerging the ESG ranting is wildly recognized by global financial institutions, investors, and governments. Cause of that emerging industries environmental performance, social responsibility, and corporate governance are increasingly becoming the consensus of multinational green financial institutions, investors, and governments. There are series of current research have analysis the ESG effect on consumer, while few studies have extended Stimulate Organism and Response (SOR) framework within the consumers’ psychology process. After offering a comprehensive analysis of the SOR framework, we integrate the ESG component into the SOR framework as a more pertinent and contemporary alternative. Considering the rapid growth of live commerce and heightened environmental awareness in China, ESG offers a comprehensive lens to understand how stimulation impacts organisms and subsequently influences behavior.
Research progress on the impact of urban landscape on the health of human settlements
Authors: Shen Xiping
Published: September 2024

This paper examines the role of urbanization in habitat health issues, focusing on the intersection of urban big data and human settlement health. It highlights the benefits and detriments of urban habitat advancements, including the impact of green spaces on mental health and well-being. With the rise of remote sensing and social media data, new methods are emerging to assess and address urban health challenges, advocating for integrated approaches to promote sustainable and healthy urban development.
Analysis of Green Technologies in Urban Rail Transit
Authors: Zhou Haizhu , Dong Guanghui , Zhou Lining , Ma Rui , Chen Xiaofeng , Meng Liang
Published: September 2024

Transportation is an important field of carbon emissions, and promoting the green and low-carbon transformation of the transportation industry is of great significance for achieving the national carbon peaking and carbon neutrality goals. Therefore, the application of green technology in urban rail transit is receiving increasing attention. This article takes Chengdu Road Station on Tianjin Metro Line 8 as an example to analyze the technical measures to promote green and low-carbon development of urban rail transit systems from the aspects of environmental health, resource conservation, and operational services. The green and lowcarbon concept is integrated into the entire life process of the urban rail transit system, achieving green and sustainable development of rail transit from the aspects of station environment, vehicles, air conditioning, selection and recycling of construction materials, green construction, etc. And provide suggestions for the development of rail transit from four aspects: planning and design, construction and construction, equipment manufacturing, and operation and maintenance, providing reference significance for the research of green rail transit.
Research on the Integration of Construction and Management in Smart Cities Based on CIM: A Case Study of Future City by China Communications Construction
Authors: Wang Fengcun , Zhang Yi , Li Hui , Wang Xianmeng , Zhu Runze , You Li
Published: September 2024

Since the inception of the smart city concept, it has garnered widespread attention. This paper elucidates the concept of smart city construction, focusing on the case study of China Communications Construction’s Future City. It analyzes its development positioning, vision, and trends, and conducts an integrated analysis of its construction and management based on the City Information Model (CIM). Furthermore, it proposes the development direction of “Future City by China Communications Construction” in smart city construction, aiming to contribute to the construction of innovative smart cities.
Evaluation of green pastoral residence in Grassland of Inner Mongolia based on fuzzy mathematics
Authors: Gao Zhaokui , Xu Guoqiang
Published: September 2024

Based on the theory of rural habitat, the concept of green pastoral residence is proposed, and the green pastoral residence is taken as the research object. Besides, based on the current situation of grassland ecological environment and pastoral living environment in Inner Mongolia, the green pastoral residence evaluation index system is established by using the hierarchical analysis method, and a fuzzy comprehensive evaluation model is constructed combined with fuzzy mathematical theory. Through case analysis, the evaluation results of the two modeling methods of analytic hierarchy method and fuzzy analytic hierarchy method are compared, and the applicability of the two modeling methods is analyzed, and a multi-level decision-making method more suitable for the evaluation of green pastoral residence is obtained.
Designing Sustainable Buildings for Personalized Participatory Space Teaching Buildings
Authors: Chiu Chenyuan , Zhong Jia , Gao Shan , Luo Ziwei , He Yige , Liu Chang , Guan Peixi
Published: September 2024

In recent years, promoting sustainability in the workplace, particularly in educational environments, has become a global imperative. With the progress of society and the in-depth development of education and teaching reform, the architectural space model of traditional college and university teaching buildings can no longer well meet the various needs of today’s society, and at present, the teaching buildings of colleges and universities and primary and secondary schools in Meizhou City, Guangdong Province, China, are dominated by traditional teaching buildings. This paper discusses the architectural and environmental design of teaching buildings, in addition to considering the traditional teaching buildings to undertake the educational functions and cultural heritage of the architectural model, but also consider including thermal comfort, air quality, lighting, acoustic quality, office layout, furniture, cleanliness and maintenance, so as to innovate to meet the needs of students’ daily campus life, suitable for the contemporary social education of the college and university teaching buildings buildings, through the creation of a unique campus atmosphere that highlighting the uniqueness of the institution and creating a personalized educational experience, this focus on creating environmentally responsible and occupant-centered spaces has led to the emergence of IEQ as a key aspect of sustainable building design.
Reflection on the Value Characteristics and Protection Modes of Shanghai Shikumen Lilong
Authors: Yan Li , Jhun Kam Kenn , Vijayan Vickram Thevar
Published: September 2024

Starting from deconstructing the challenges faced by the protection of Shanghai Shikumen Lilong, this study analyzes the value characteristics of Shikumen Lilong and the current main protection modes. The renovation and transformation of Shikumen Lilong have entered a new stage, with the rapid disappearance of Lilong and the increasingly difficult transformation becoming unavoidable dual pressures. However, Shikumen Lilong, bearing the memory of Shanghai and the spirit of its citizens, remain an important part of the city. In practice, there are four typical protection modes, each with its own constraints and shortcomings, making it difficult to provide universal guidance. Therefore, the renovation and transformation of Shikumen Lilong still need to be explored rationally in the long-term historical and overall urban dimensions.
Distributed energy generation based on jet-vortex bioheat generators
Authors: Fedoreiko Valerii
Published: September 2024

The article explores transforming Ukraine’s energy system using the “Smart Grid” concept and distributed generation. It emphasizes the need for decentralizing thermal and electric energy sources with small-scale, renewable local biofuels. The significance of thermochemical distribution systems for bio-waste using jet-vortex generator-incinerators in energy-intensive technologies is highlighted. New methods for generating thermal energy in agro-industrial processes, such as grain drying, are proposed. Heat-technical means for bio-waste decomposition, heat exchange, and combustion product utilization have been developed. Production tests of automated jet-vortex generator-incinerators were conducted, considering variable technological parameters. The cost of thermal energy for grain drying is significantly lower than traditional methods. The process, with a functional heat exchanger, uses preheated clean air, improving grain quality. A cogeneration plant project, based on a generator-incinerator and air turbine, is proposed to address Ukraine’s electricity sector challenges. This plant converts thermal energy into mechanical energy using a heat exchanger and compressor. Electrical energy is produced with an electromechanical converter to meet the thermal-technical module’s needs. The cogeneration plant achieves a total efficiency of approximately 80%.