bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adaptive neural network control for permanent magnet synchronous motor with input nonlinearity
Authors: Lin Shan , Wu Huiyuan , Liu Shuangyin , Wang Xiaowei , Zhao Zhijia 
Published: June 2024

AbstractThis study aims to design a new adaptive control method for permanent magnet synchronous motors (PMSMs) using neural networks (NNs). In comparison to traditional motor backstepping control designs, this research introduces a command filtering strategy to effectively address the common issue of “complexity explosion” in traditional methods. Additionally, considering the potential input hysteresis nonlinearity in practical applications, we introduce a hysteresis inverse operator to mitigate its adverse effects on control. Furthermore, by employing a finite‐time control strategy, we ensure rapid convergence of tracking errors within a finite time frame. Moreover, an adaptive NN controller is designed to approximate unknown continuous nonlinear functions of the system. Finally, the stability and convergence of the closed‐loop system are analyzed using the direct Lyapunov method.
Sequential‐dip‐coating processed mixed organic and inorganic perovskite film from halide‐free lead precursor for efficient perovskite solar cells
Authors: Irshad Zobia , Adnan Muhammad , Kim Ho‐Joong , Lee Jae Kwan 
Published: June 2024

AbstractA novel all‐sequential‐dip‐coated (SDC) deposited FA1MA1−yPbI3−xBrx perovskite films have been synthesized from an aqueous non‐halide lead precursor towards an environmentally benign, cost‐effective, and efficient approach for high‐performance perovskite solar cells (PrSCs). The mixed‐cationic FA1MA1−yPbI3−xBrx perovskite layers ensure the fractional incorporation of Br into the perovskite crystal lattice. The insertion of Br contents was regulated by modulating the FABr concentration into the FABr/MAI mixed‐cationic precursor solution. The incorporation of minor FABr into MAI helps to improve the surface coverage and crystallinity of the synthesized per‐ovskite layer in contrast to the other perovskite films prepared with higher FABr content under the same environment. The PrSCs with these FA1MA1−yPbI3−xBrx perovskite layers displayed good de‐vice performances and stability with a PCE of 11.1%. These outcomes reveal that the synthesis of FA1MA1−yPbI3−xBrx perovskite films with the SDC approach is more efficient because of the use of environmentally benign solvents for synthesizing lead and perovskite layers.
Role of social media influencer toward environmental involvement and green buying behavior
Authors: Nazir Mehvish , Wani Tahir Ahmad 
Published: June 2024

AbstractSustainability and green purchase behavior are attracting a lot of attention from both researchers as well as marketers. This transition can be attributed to the growing environmental awareness and knowledge among people. Considering this as opportunity marketers are using different platforms to promote environmentally friendly products. One such way is through social media influencers; marketers promote their products through social media influencers with a huge following. However, the current study attempts to examine how individual characteristics of influencers promoting sustainable behavior can impact environmental involvement. A convenience sampling method was used to collect data from various social media users. The authors initially sent invitations via different social media channels. A total sample of 683 social media followers was considered. Covariance‐based structural equation modeling was used to examine the relationship between different variables. Trustworthiness, credibility, and commitment of the social media influencer had a positive impact on the environmental involvement of the followers. Expertise, similarity and familiarity had an insignificant effect. The environmental involvement positively affects environmental knowledge and green purchase attitude of the followers which in turn impact their green buying behavior. The study has multiple practical and managerial implications; the results reveal which influencer characteristics can induce environmental involvement in their followers and which characteristics are not impactful. Further, the study focuses on how inter‐relationships of influencer characteristics, environmental involvement, environmental knowledge, and attitude can push people toward green purchase behavior.
High‐fat‐diet‐induced obesity promotes simultaneous progression of lung cancer and atherosclerosis in apolipoprotein E‐knockout mice
Authors: Wang Yihao , Yan Kaixin , Duan Han , Tao Ning , Zhu Shaoning , Zhang Yuning , You Yonggang , Zhang Zhen , Wang Hua , Hu Shunying 
Published: June 2024

AbstractBackgroundClinical studies have shown that atherosclerotic cardiovascular disease and cancer often co‐exist in the same individual. The present study aimed to investigate the role of high‐fat‐diet (HFD)‐induced obesity in the coexistence of the two diseases and the underlying mechanism in apolipoprotein E‐knockout (ApoE−/−) mice.MethodsMale ApoE−/− mice were fed with a HFD or a normal diet (ND) for 15 weeks. On the first day of Week 13, the mice were inoculated subcutaneously in the right axilla with Lewis lung cancer cells. At Weeks 12 and 15, serum lectin‐like oxidized low‐density lipoprotein receptor‐1 (LOX‐1) and vascular endothelial growth factor levels were measured by enzyme‐linked immunosorbent assay, and blood monocytes and macrophages were measured by fluorescence‐activated cell sorting. At Week 15, the volume and weight of the local subcutaneous lung cancer and metastatic lung cancer and the amount of aortic atherosclerosis were measured.ResultsAt Week 15, compared with mice in the ND group, those in the HFD group had a larger volume of local subcutaneous cancer (p = 0.0004), heavier tumors (p = 0.0235), more metastatic cancer in the lungs (p < 0.0001), a larger area of lung involved in metastatic cancer (p = 0.0031), and larger areas of atherosclerosis in the aorta (p < 0.0001). At Week 12, serum LOX‐1, serum vascular endothelial growth factor, and proportions of blood monocytes and macrophages were significantly higher in the HFD group than those in the ND group (p = 0.0002, p = 0.0029, p = 0.0480, and p = 0.0106, respectively); this trend persisted until Week 15 (p = 0.0014, p = 0.0012, p = 0.0001, and p = 0.0204).ConclusionsIn this study, HFD‐induced obesity could simultaneously promote progression of lung cancer and atherosclerosis in the same mouse. HFD‐induced upregulation of LOX‐1 may play an important role in the simultaneous progression of these two conditions via the inflammatory response and VEGF.
HIDE: Hierarchical iterative decoding enhancement for multi‐view 3D human parameter regression
Authors: Lin Weitao , Zhang Jiguang , Meng Weiliang , Liu Xianglong , Zhang Xiaopeng 
Published: June 2024

AbstractParametric human modeling are limited to either single‐view frameworks or simple multi‐view frameworks, failing to fully leverage the advantages of easily trainable single‐view networks and the occlusion‐resistant capabilities of multi‐view images. The prevalent presence of object occlusion and self‐occlusion in real‐world scenarios leads to issues of robustness and accuracy in predicting human body parameters. Additionally, many methods overlook the spatial connectivity of human joints in the global estimation of model pose parameters, resulting in cumulative errors in continuous joint parameters.To address these challenges, we propose a flexible and efficient iterative decoding strategy. By extending from single‐view images to multi‐view video inputs, we achieve local‐to‐global optimization. We utilize attention mechanisms to capture the rotational dependencies between any node in the human body and all its ancestor nodes, thereby enhancing pose decoding capability. We employ a parameter‐level iterative fusion of multi‐view image data to achieve flexible integration of global pose information, rapidly obtaining appropriate projection features from different viewpoints, ultimately resulting in precise parameter estimation. Through experiments, we validate the effectiveness of the HIDE method on the Human3.6M and 3DPW datasets, demonstrating significantly improved visualization results compared to previous methods.
Direct Hydrogenation of Sterically Hindered, Unactivated Alkenes Catalyzed by Phosphino(silyl)‐Nickel Complexes
Authors: Saunders Tyler M. , Roberston Katherine N. , Turculet Laura 
Published: June 2024

AbstractReadily accessible (PSi)Ni(II)‐benzyl complexes supported by bidentate phosphino(silyl) ligation were found to be effective pre‐catalysts for the direct hydrogenation of a variety of highly sterically hindered, unfunctionalized alkenes under relatively mild conditions (2.5‐5 mol% Ni, 10 atm H2, 50 °C) and without the need for additional additives or activator species. A range of substrates, including di‐, tri‐, and tetra‐substituted alkenes were evaluated in this regard and afforded good to moderate yields. Substrates featuring α,β‐unsaturated carbonyl functionality were also readily hydrogenated with no evidence for reduction of carbonyl or ester C−O functionalities. Deuteration experiments highlight the occurrence of chain walking which occurs in the background of the reported catalytic chemistry.
Boosting Acidic Water Oxidation on Hematite Photoanodes with Synergistic Effects of Ce‐Doped Co3O4 Nanoparticles
Authors: Li Tian‐Tian , Li Chao‐Qun , Cui Jun‐Yuan , Wang Jian‐Jun 
Published: June 2024

AbstractPhotoelectrochemical (PEC) water splitting is pivotal for addressing the clean and renewable energy demands. However, developing low‐cost, efficient, and robust non‐precious metal catalysts for the acidic oxygen evolution reaction (OER) remains a significant challenge. In this study, we introduced Ce to modulate the electronic structure of Co3O4, enhancing the stability of Co3O4 without compromising its activity. Ce‐doped Co3O4 nanoparticles were electrodeposited onto Ti‐doped hematite surfaces (Ce : Co3O4/Fe2O3), significantly enhancing the PEC performance for water splitting under acidic conditions. These catalysts achieved high photocurrent densities and exhibited prolonged stability. Functioning as p‐type semiconductors, the Ce : Co3O4 nanoparticles not only boosted light absorption but also formed a p‐n heterojunction with the Ti‐doped hematite. This heterojunction generated a built‐in electric field that facilitated the separation and transfer of photogenerated carriers, thereby improving charge separation efficiency. Additionally, these nanoparticles expanded the active surface area of hematite and served as a co‐catalyst, markedly accelerating the OER kinetics. The Ce : Co3O4/Fe2O3 photoanode achieved an impressive photocurrent density of 1.08 mA cm−2 at 1.23 VRHE in acidic media, demonstrating its enhanced activity and stability.
The Structure of Carbon Dioxide at the Air‐Water Interface and its Chemical Implications
Authors: Martins‐Costa Marilia T. C. , Ruiz‐López Manuel F. 
Published: June 2024

AbstractThe efficient reduction of CO2 into valuable products is a challenging task in an international context marked by the climate change crisis and the need to move away from fossil fuels. Recently, the use of water microdroplets has emerged as an interesting reaction media where many redox processes which do not occur in conventional solutions take place spontaneously. Indeed, several experimental studies in microdroplets have already been devoted to study the reduction of CO2 with promising results. The increased reactivity in microdroplets is thought to be linked to unique electrostatic solvation effects at the air‐water interface. In the present work, we report a theoretical investigation on this issue for CO2 using first‐principles molecular dynamics simulations. We show that CO2 is stabilized at the interface, where it can accumulate, and that compared to bulk water solution, its electron capture ability is larger. Our results suggest that reduction of CO2 might be easier in interface‐rich systems such as water microdroplets, which is in line with early experimental data and indicate directions for future laboratory studies. The effect of other relevant factors which could play a role in CO2 reduction potential is discussed.
Precisely Designed Ultra‐Small CoP Nanoparticles‐Decorated Hollow Carbon Nanospheres as Highly Efficient Host in Lithium−Sulfur Batteries
Authors: Feng Ping , Wu Qingping , Rodriguez Ayllon Yael , Lu Yan 
Published: June 2024

AbstractDesigning porous carbon materials with metal phosphides as host materials holds promise for enhancing the cyclability and durability of lithium−sulfur (Li−S) batteries by mitigating sulfur poisoning and exhibiting high electrocatalytic activity. Nevertheless, it is urgent to precisely control the size of metal phosphides to further optimize the polysulfide conversion reaction kinetics of Li−S batteries. Herein, a subtlety regulation strategy was proposed to obtain ultra‐small CoP nanoparticles‐decorated hollow carbon nanospheres (CoP@C) by using spherical polyelectrolyte brush (SPB) as the template with stabilizing assistance from polydopamine coating, which also works as carbon source. Leveraging the electrostatic interaction between SPB and Co2+, ultra‐small Co particles with sizes measuring 5.5±2.6 nm were endowed after calcination. Subsequently, through a gas‐solid phosphating process, these Co particles were converted into CoP nanoparticles with significantly finer sizes (7.1±3.1 nm) compared to state‐of‐the‐art approaches. By uniformly distributing the electrocatalyst nanoparticles on hollow carbon nanospheres, CoP@C facilitated the acceleration of Li‐ion diffusion and enhanced the conversion reaction kinetics of polysulfides through adsorption‐diffusion synergy. As a result, Li−S batteries utilizing the CoP@C/S cathode demonstrated an initial specific discharge capacity of 850.0 mAh g−1 at 1.0 C, with a low‐capacity decay rate of 0.03 % per cycle.
PREDICT HF: Risk stratification in advanced heart failure using novel hemodynamic parameters
Authors: Cyrille‐Superville Nicole , Rao Sriram D. , Feliberti Jason P. , Patel Priyesh A. , Swayampakala Kamala , Sinha Shashank S. , Jeng Eric I. , Goswami Rohan M. , Snipelisky David F. , Carroll Aubrie M. , Najjar Samer S. , Belkin Mark , Grinstein Jonathan ,   the FLIGHT Working Group
Published: June 2024

AbstractBackgroundInvasive hemodynamics are fundamental in assessing patients with advanced heart failure (HF). Several novel hemodynamic parameters have been studied; however, the relative prognostic potential remains ill‐defined.HypothesisAdvanced hemodynamic parameters provide additional prognostication beyond the standard hemodynamic assessment.MethodsPatients from the PRognostic Evaluation During Invasive CaTheterization for Heart Failure (PREDICT‐HF) registry who underwent right heart catheterization (RHC) were included in the analysis. The primary endpoint was survival to orthotopic heart transplant (OHT) or durable left ventricular assist device (LVAD), or death within 6 months of RHC.ResultsOf 846 patients included, 176 (21%) met the primary endpoint. In a multivariate model that included traditional hemodynamic variables, pulmonary capillary wedge pressure (PCWP) (OR: 1.10, 1.04−1.15, p < .001), and cardiac index (CI) (OR: 0.86, 0.81−0.92, p < .001) were shown to be predictive of adverse outcomes. In a separate multivariate model that incorporated advanced hemodynamic parameters, cardiac power output (CPO) (OR: 0.76, 0.71−0.83, p < .001), aortic pulsatility index (API) (OR: 0.94, 0.91−0.96, p < .001), and pulmonary artery pulsatility index (OR: 1.02, 1.00−1.03, p .027) were all significantly associated with the primary outcome. Positively concordant API and CPO afforded the best freedom from the endpoint (94.7%), whilst negatively concordant API and CPO had the worst freedom from the endpoint (61.5%, p < .001). Those with discordant API and CPO had similar freedom from the endpoint.ConclusionThe advanced hemodynamic parameters API and CPO are independently associated with death or the need for OHT or LVAD within 6 months. Further prospective studies are needed to validate these parameters and elucidate their role in patients with advanced HF.
How does organizational culture affect eco‐innovation? Empirical evidence from the individual and organizational perspective
Authors: Shuliang Zhao , Rui Zhang , Qingjun Li 
Published: June 2024

AbstractEco‐innovation is important for sustainable development and organizational culture is an endogenous factor that can affect eco‐innovation. Different types of organizational culture can have differentiated effects on enterprise eco‐innovation. This study aims to reveal the relationship between organizational culture and eco‐innovation and analyze the mechanism of the influence of organizational culture on eco‐innovation at the individual and organizational levels. Manufacturing firms in China are selected as the research sample, and structural equation modeling is used for the empirical analysis. Results show that adhocracy culture and clan culture have a positive impact on the eco‐innovation of the firms, and green creativity and green absorptive capacity play a partial mediating role in the relationship. Moreover, hierarchy culture and market culture have no significant impact on the eco‐innovation of the enterprises, but green creativity plays a complete intermediary role in the relationship between hierarchy culture and eco‐innovation. Based on the conclusions, the management implications are discussed, and future research directions are outlined.
A note on the bandwidth of negative group delay filters
Authors: Nako Julia , Psychalinos Costas , Elwakil Ahmed S. , Maundy Brent J. 
Published: June 2024

SummaryAn updated definition of group delay bandwidth in analog filters is introduced in this work. Unlike existing definitions, this new definition considers simultaneously the value of the group delay and filter gain, leading to minimized distortion in the filter output. In addition, it offers the capability of handling wide‐band signals without introducing errors in the shape of their envelopes. Selected first‐ and second‐order filters are studied and simulation results are provided to validate the efficiency of the new definition.
Banknote identification based on characteristic differences
Authors: Nagayoshi Hiroto , Hiramatsu Yoshitaka , Fujimura Noriaki , Kagehiro Tatsuhiko 
Published: June 2024

AbstractA method for banknote identification has been developed. As a prerequisite for this process, an ATM stores records captured from accepted banknotes, including customer's information for identification. The proposed method is implemented when a counterfeit banknote is detected. The ATM identifies a record corresponding to the counterfeit banknote among the stored records, assisting in the identification of the customer who used it. This identification is carried out by exploiting characteristic differences between counterfeit and genuine banknotes. These differences are defined in terms of positions and magnitudes of variations. An experiment using simulated banknotes was conducted to assess the effectiveness of the proposed method. Additionally, another experiment involving digitally synthesized banknotes was conducted to determine the performance limits of the proposed method.
Introduction of Difluoromethyl Through Radical Pathways
Authors: Li Xin , Song Qiuling 
Published: June 2024

AbstractDuring the past decade, radical difluoromethylation has emerged as a powerful and versatile tool for the incorporation of difluoromethyl into various organic compounds. These reactions feature mild reaction conditions, very good functional group compatibilities, and quite broad substrate scopes, thus having drawn much attention and got rapid developments. A diverse range of difluoromethyl radical precursors have been developed for a series of radical difluoromethylation reactions. This review summarizes and discusses the advance in the radical difluoromethylation reactions, which are organized according to the protocols of generating difluoromethyl radical.
The meaning of touch: Relational and individual variables shape emotions and intentions associated with imagined social touch
Authors: Krahé Charlotte , Fotopoulou Aikaterini , Hammond Claudia , Banissy Michael J. , Koukoutsakis Athanasios , Jenkinson Paul M. 
Published: June 2024

AbstractTouch is a key channel for conveying meaning in social interactions. The affective quality of touch and its effects on well‐being are shaped by relational context (relationship between touch giver vs. recipient) and person variables (e.g. adult attachment style). Yet, such effects have not been explored in relation to the meaning ascribed to touch. We used data from the Touch Test, the world's largest touch survey, which included questions on the degree to which people felt and related specific emotions and intentions to imagined gentle stroking touch and hugs. In N = 23,428, we examined how relational context (imagined source of touch) and person variables (gender, recalled positive childhood touch and adult attachment style) were associated with positive (e.g. love, desire, support) and negative (e.g. fear, anger, warning) emotions and intentions related to imagined touch. Love, desire and support were endorsed more when participants had had their partner (vs. someone else) in mind, and women (vs. men) gave lower ratings for desire overall. Gentle stroking touch was most linked with arousal when participants had had their partner in mind. Further, more positive childhood touch and secure and anxious attachment scores were associated with more positive emotions and intentions, while the opposite was found for avoidant attachment scores. Lastly, positive childhood touch and higher anxious attachment scores were related to greater discrimination between distinct emotion and intention categories, while higher attachment avoidance was associated with reduced discriminability. Thus, contextual and person variables matter in shaping the meaning of social touch.
Temperate Versus Arctic: Unraveling the Effects of Temperature on Oil Toxicity in Gammarids
Authors: Heuvel-Greve Martine J. , Jonker Michiel T. O. , Klaassen Michiel A. , Puts Isolde C. , Verbeeke Gabrielle , Hoekema Lisa , Foekema Edwin M. , Murk Albertinka J. 
Published: June 2024

Abstract
Shipping activities are increasing with sea ice receding in the Arctic, leading to higher risks of accidents and oil spills. Because Arctic toxicity data are limited, oil spill risk assessments for the Arctic are challenging to conduct. In the present study, we tested if acute oil toxicity metrics obtained at temperate conditions reflect those at Arctic conditions. The effects of temperature (4 °C, 12 °C, and 20 °C) on the median lethal concentration (LC50) and the critical body residue (CBR) of the temperate invertebrate Gammarus locusta exposed to water accommodated fractions of a fuel oil were determined. Both toxicity metrics decreased with increasing temperature. In addition, data for the temperate G. locusta were compared to data obtained for Arctic Gammarus species at 4 °C. The LC50 for the Arctic Gammarus sp. was a factor of 3 higher than that for the temperate G. locusta at 4 °C, but its CBR was similar, although both the exposure time and concentration were extended to reach lethality. Probably, this was a result of the larger size and higher weight and total lipid content of Arctic gammarids compared to the temperate gammarids. Taken together, the present data support the use of temperate acute oil toxicity data as a basis for assessing risks in the Arctic region, provided that the effects of temperature on oil fate and functional traits (e.g., body size and lipid content) of test species are considered. As such, using the CBR as a toxicity metric is beneficial because it is independent of functional traits, despite its temperature dependency. To the best of our knowledge, the present study is the first to report CBRs for oil. Environ Toxicol Chem 2024;43:1627–1637. © 2024 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.