bluuebunny/crossref_metadata_2025_split huggingface dataset:
THE COMEBACK WILL BE STRONGER THAN THE SETBACK
Authors: Lutoff‐Perlo Lisa 
Published: January 2024

AbstractThe author, an executive at the Royal Caribbean Group, who was appointed President & CEO/Chief Executive Officer of its Celebrity Cruises brand in late 2014, discusses her leadership journey, including dealing with the global pandemic. The latter shut down the global cruise industry for 15 months, yet planning for the future was maintained. “Our chairman,” she writes, “was working with other cruise company leaders, health experts and government leaders to keep the dialogue going in the hope that we would eventually be given the green light to start cruising again. It was a long and arduous time.” She is candid about the uncertainties during this time period: “I felt a big responsibility to rally my team, to understand what they were going through, to keep them confident, energized, and optimistic that we would get through this, even on those days when I wasn’t so sure myself.” Reflecting on the success of the return of its cruise ships, she recalls leadership lessons, including: “When you have that level of trust and confidence in your team and they look at you and ask, “Should we do it?” You say “Yes!” And when I learned another valuable lesson. When your team knows they have your trust and confidence, they, in turn are not going to let you down.”
How to achieve the high‐quality development of SRDI enterprises? Evidence from machine learning
Authors: Qu Guimin , Bai Jingkun 
Published: January 2024

AbstractExploring how SRDI enterprises achieve high‐quality development constitutes a pivotal task for small and medium‐sized enterprises (SMEs) and niche leaders. While prior research primarily concentrated on the influence of innovative policies on SRDI enterprises, it has disregarded the intrinsic propelling forces intrinsic to these enterprises. To bridge this research gap, our study leverages a machine learning model that incorporates 19 feature variables spanning four dimensions—“specialization, refinement, distinctiveness, and innovation”—to anticipate high‐quality development in enterprises. Drawing on a sample of 667 A‐share SRDI‐listed enterprises from 2012 to 2022, and after subjecting the data to preprocessing, the study employs the mean of five machine learning models to predict high‐quality development in enterprises. Moreover, we discern pivotal feature variables and dimensions. Notably, outcomes underscore the paramount significance of market share in achieving high‐quality progress within SRDI enterprises, with refinement emerging as the foremost feature dimension among the four. Moreover, during the three stages delineated by SRDI policies, research and development intensity, equity financing, and market share emerge as the preeminent feature variables within their respective stages.
A comparative analysis of channel strategies for refurbished products: The influence of blockchain, brand spillover on co‐opetitive supply chain
Authors: Fang Zhou , Bai Yang 
Published: January 2024

AbstractIndustry insiders and researchers have widely recognized refurbishment as an environmentally friendly activity that reduces raw material waste and energy consumption. Simultaneously, blockchain is increasingly used in the supply chain with its information transparency and traceability. The refurbished product market possesses substantial potential. Nevertheless, refurbished products carry an inherent risk of brand spillover. Within this framework, manufacturers must weigh broader considerations in selecting product distribution channels. In this study, we discuss three sales models for new and refurbished products in the secondary market, namely, Scenarios M (where the manufacturer sells new products to consumers through the retailer and sells refurbished products to consumers directly), R (where the manufacturer sells new products to consumers through the retailer, and the retailer produces and sells refurbished products alongside new products), and C (where the manufacturer sells new products to consumers, and the remanufacturer sells refurbished products to consumers through a retailer). Upon examining the equilibrium outcomes of each model, it is evident that a manufacturer's decision to produce refurbished products hinges on market demand. High demand for refurbished goods inclines manufacturers towards the M scenario, whereas insufficient demand leads to cessation of refurbishment activities. Conversely, retailers navigate between R and C scenarios based on market demand. The advent of blockchain technology shifts the strategic focus: the extent of brand spillover supersedes market demand as the pivotal factor influencing retailers' production strategies. Blockchain technology can increase manufacturers' profits. Interestingly, in Scenario C, blockchain does not always improve retailer profits.
Segmental infralesional pathological spontaneous activity in subacute traumatic spinal cord injury
Authors: Berger Michael J. , Adewuyi Adenike A. , Doherty Christopher , Hanlan Amy K. , Morin Cynthia , O'Connor Russ , Sharma Radhika , Sproule Shannon , Swong Kevin N. , Wu Harvey , Franz Colin K. , Brown Erin 
Published: January 2024

AbstractIntroduction/AimsThere is a dearth of knowledge regarding the status of infralesional lower motor neurons (LMNs) in individuals with traumatic cervical spinal cord injury (SCI), yet there is a growing need to understand how the spinal lesion impacts LMNs caudal to the lesion epicenter, especially in the context of nerve transfer surgery to restore several key upper limb functions. Our objective was to determine the frequency of pathological spontaneous activity (PSA) at, and below, the level of spinal injury, to gain an understanding of LMN health below the spinal lesion.MethodsNinety‐one limbs in 57 individuals (53 males, mean age = 44.4 ± 16.9 years, mean duration from injury = 3.4 ± 1.4 months, 32 with motor complete injuries), were analyzed. Analysis was stratified by injury level as (1) C4 and above, (2) C5, and (3) C6‐7. Needle electromyography was performed on representative muscles innervated by the C5‐6, C6‐7, C7‐8, and C8‐T1 nerve roots. PSA was dichotomized as present or absent. Data were pooled for the most caudal infralesional segment (C8‐T1).ResultsA high frequency of PSA was seen in all infralesional segments. The pooled frequency of PSA for all injury levels at C8‐T1 was 68.7% of the limbs tested. There was also evidence of PSA at the rostral border of the neurological level of injury, with 58.3% of C5‐6 muscles in those with C5‐level injuries.DiscussionThese data support a high prevalence of infralesional LMN abnormalities following SCI, which has implications to nerve transfer candidacy, timing of the intervention, and donor nerve options.
Polymere: Flexibel, sensitiv und reagierend
Authors: Ludwigs Sabine 
Published: January 2024

AbstractRoboterstrukturen aus Elastomeren sind anpassungsfähig und sprechen auf Bewegungen und äußere Stimuli an. Mit solchen intelligenten Kunststoffen zieht die Polymerchemie in Soft Robotics für biomedizinische Anwendungen ein.
Global problems – global solutions
Authors: Alexander‐White Camilla , Metzger Stephanie , Welton Tom 
Published: January 2024

AbstractChemistry and the chemicals in products have transformed our societies for the better, giving us better health and living conditions. However, these benefits have not been delivered without significant costs to the environment. In 2022, the UN Environment Agency agreed to set up a Science‐Policy Panel (SPP) for Chemicals, Waste and the Prevention of Pollution.
A review of polymer surface modification by cold plasmas toward bulk functionalization
Authors: Bertin Maicon , Leitao Erin M. , Bickerton Simon , Verbeek Casparus Johannes Reinhard 
Published: January 2024

AbstractPlasma surface modification of polymers is a well‐established method applied to increase the surface energy of these materials, where the capacity of cold plasmas to generate free radicals and functionalize the surface with polar groups is widely reported in the literature. This article provides a comprehensive literature review on plasma surface treatment, plasma‐induced grafting, and plasma polymerization, evaluating how these techniques can be applied to modify the bulk properties of polymers. A novel process of plasma‐induced polymer bulk functionalization in the melt state is introduced, where an atmospheric pressure plasma jet could be applied to a continuous reactive extrusion process, enhancing the production of graft copolymers for compatibilization of polymeric blends and fiber composites.
Toward improved image‐based root phenotyping: Handling temporal and cross‐site domain shifts in crop root segmentation models
Authors: Banet Travis , Smith Abraham George , McGrail Rebecca , McNear David H. , Poffenbarger Hanna 
Published: January 2024

AbstractCrop root segmentation models developed through deep learning have increased the throughput of in situ crop phenotyping studies. However, models trained to identify roots in one image dataset may not accurately identify roots in another dataset, especially when the new dataset contains known differences, called domain shifts. The objective of this study was to quantify how model performance changes when models are used to segment image datasets that contain domain shifts and evaluate approaches to reduce error associated with domain shifts. We collected maize root images at two growth stages (V7 and R2) in a field experiment and manually segmented images to measure total root length (TRL). We developed five segmentation models and evaluated each model's ability to handle a temporal (growth‐stage) domain shift. For the V7 growth stage, a growth‐stage‐specific model trained only on images captured at the V7 growth stage was best suited for measuring TRL. At the R2 growth stage, combining images from both growth stages into a single dataset to train a model resulted in the most accurate TRL measurements. We applied two of the field models to images from a greenhouse experiment to evaluate how model performance changed when exposed to a cross‐site domain shift. Field models were less accurate than models trained only on the greenhouse images even when crop growth stage was identical. Although models may perform well for one experiment, model error increases when applied to images from different experiments even when crop species, growth stage, and soil type are similar.
Pore‐scale freezing of a sandy saline soil visualized with micro‐computed tomography
Authors: Gao Xiangbo , Tian Rongrong , Yin Tingchang , Torres Sergio Andres Galindo , Lei Liang 
Published: January 2024

AbstractSandy saline soils are widely distributed and commonly experience seasonal or long‐term freezing, yet the freezing process in these soils is rarely studied. This research utilized in situ X‐ray computed tomography (CT) to visualize pore‐scale freezing processes in sandy saline soils under various initial water and salt contents. Micron‐resolution observations of pore ice and unfrozen water produced new insights into the preferential orientation and grouping of pore ice crystals, intersections between different pore ice crystal groups causing anisotropic behavior, decreasing pore ice crystal size under faster freezing rates, and the formation of interconnected networks of both pore ice and unfrozen water upon freezing. From a thermodynamic perspective, the salt content in the unfrozen liquid is dependent on the local temperature as described by water–salt phase diagram. Furthermore, the local volume ratio between unfrozen water and pore ice reflects the initial salt content and salt mass transfer occurring due to both diffusion and fluid flow processes. This work improves the understanding of complex freezing phenomena in sandy saline soils through high‐resolution evidence of crystallization patterns, transformation mechanisms, and coupled heat‐mass transfer.
Adaptive containment control of heterogeneous high‐order fully actuated multi‐agent systems
Authors: Liu Yang , Zhang Jiaming , Jia Yingmin 
Published: January 2024

AbstractIn this article, the distributed containment control schemes are presented for a class of nonlinear heterogeneous high‐order fully actuated multi‐agent systems. First, for each follower, the reference trajectory generator is constructed by using the output information of the neighbor agents. Then, the distributed containment controllers are designed for the system with known nonlinear system function matrices and control gain matrices. Further, since the existence of modeling errors and other uncertain factors, the obtained system model is often not accurate enough, that is, the system function matrix and control gain matrix are actually unknown nonlinear matrices. To tackle these obstacles, we employ the radial basis function neural network method to approximate the unknown nonlinear system function matrices and skillfully construct the controllers combined with the adaptive technology to eliminate the effects of the unknown control gain matrices. The developed control strategies can guarantee that the containment control can be realized and the containment errors can be adjusted to arbitrary precision. In the end, the simulation results on the electromechanical system and robotic system demonstrate the availability and effectiveness of the provided schemes.
Assessing sustainable decarbonization strategies for green shipping using tugboat owner investment in hybrid power systems in ports in Taiwan
Authors: Liu Ta‐Kang , Chen Yung‐Sheng 
Published: January 2024

AbstractDecarbonization has significant operational implications for ships, fuel resources, and ports. Sustainable management is highly prioritized by ship owners and port authorities. The shipping industry must develop appropriate strategies to achieve zero carbon emissions by 2050 and support the 2030 United Nations sustainable development goals. Tugboats, a ubiquitous vessel in Taiwanese ports, were selected as the subject of this study. Implementing hybrid power systems in response to the growing trend of carbon reduction was explored. This study involves various stakeholders in Taiwan, including ship owners, port agency representatives, and other relevant parties. Assessing investment costs, market demand, and policy guidance is highly significant. Establishing a positive cycle is necessary to encourage tugboat operators to adhere to sustainable management practices and environmental protection measures. This entails providing incentives through policy measures that enable tugboat operators to gain cost advantages and balance environmental, economic, and societal needs within an expanding market.
Path to sustainable development: Can industrial intelligence and technological innovation balance economic growth and environmental quality in China?
Authors: Yin Zi Hui , Zeng Wei Ping 
Published: January 2024

AbstractIntelligent industrial transformation and technological innovation fuel China's sustainable development. We examine whether industrial intelligence and technological innovation improve economic growth and environmental quality using provincial data from China from 2006 to 2020. We used panel co‐integration techniques (fully modified OLS and dynamic OLS) for analysis. The results showed that industrial intelligence drives economic growth and environmental quality, whereas technological innovation primarily promotes economic growth. We also found that green technological innovation improves economic growth and environmental quality. The Granger causality technique based on the vector error‐correction model showed a strong interrelationship among industrial intelligence, technological innovation, economic growth, and environmental quality. Furthermore, a heterogeneity analysis shows that the effects and interrelationships of the variables of interest vary significantly by region in China. To achieve sustainable development, the government should accelerate the transformation of industrial intelligence, invest in environment‐friendly technological innovation activities, and focus on the co‐development of industrial intelligence, technological innovation, economic growth, and environmental quality.
Silica Grafted Imprinted Mesoporous Polymer for the Development of SPE Coupled FAAS Method of Nickel Determination, Removal, and Spent Polymer for Reduction of Permanganate: Multivariate Optimization
Authors: Rais Saman , Islam Aminul 
Published: January 2024

AbstractA novel silica fabricated allyloxy ethanol based imprinted polymer is synthesised with surface area of 333 m2 g−1 and average pore size of 6.5 nm by an environment friendly one pot surface imprinting process. It was employed for the selective solid‐phase extraction (SPE) of trace Ni(II) in real samples prior to FAAS determination. The factor settings produced via central composite design in response surface methodology (RSM) (pH: 3.6; initial concentration; 800 mg L−1 and time; 15 minute) provide adsorption capacity of 176 mg g−1. Artificial neural network model employed on the RSM data, provided better predictability. Sips isotherm model and BSf kinetic model describes best the sorption phenomena of the homogenous binding terrain. The developed SPE‐coupled FAAS method demonstrate a detection limit of 1.62 μg L−1, quantification limit of 4.17 μg L−1, and Linear dynamic range of 20–8000 μg L−1. It was successfully applied to determine nickel in food (Spinach, Radish, Green tea infusion, Black tea infusion, Coffee, Soya milk, Chocolate Soya milk, Tobacco) and wastewater samples (>99 % removal). For five replicate determinations, the method‘s relative standard deviation was 2.3 %. The method was validated by analysing two certified reference materials, and the outcomes were well‐congruent with standard values. For the synthesised polymer Ni(II) exhibits higher distribution ratio than other competing ions (Cu(II), Pb(II), Cd(II), and Zn(II)) with the imprinting factor; β values of 5.73, 4.98, 6.80, and 5.04 respectively. The reusability experiments revealed that APS@Ni‐IIP retains a strong adsorption efficacy even after 15 cycles and after its exhaustion it was employed as catalyst for reducing permanganate ions, further reducing pollution. The rigid structure of mesoporous silica contributes to its acid resilience and reusability, which can lead to a relative increase in polymer performance in absorption rate and selectivity. Apart from the novelty in the synthesis, thorough examination of the method and material selectivity (in binary, ternary and multielement system), multi fold applications of determination, removal of Ni(II) and reduction of permanganate ions, makes APS@Ni‐IIP a promising candidate for environmental remediation.
Nickel‐Catalyzed Microwave‐Mediated Methylsulfonylation of Alkyl Halides
Authors: Bandaru Madhava Rao , Venkatanarayana Muvvala , Basava Vikram , Haridasyam Sharath Babu 
Published: January 2024

AbstractThe direct nickel‐catalyzed methylsulfonylation of alkyl and aryl halides using dimethyl sulfite as the sulfur dioxide surrogate as well as the source of methyl has been achieved. This protocol provides a robust method for the synthesis of methyl sulfone derivatives under microwave irradiation in moderate to excellent yields within 60 minutes and shows excellent functional group tolerance.
Graphene/Ta2O5 co‐coating to improve the electrochemical performance of cathode material LiNi0.5Co0.2Mn0.3O2 for lithium‐ion batteries
Authors: Zhang Xueqian , Dang Mengyue , Li Ying , Zhang Ruijin , Nan Quanhui , Li Mingqi , Zhu Mingyuan , Jin Hongming , Li Wenxian 
Published: January 2024

AbstractThe cycling and rate capabilities of LiNi0.5Co0.2Mn0.3O2 (NCM523) cathode material under high cut‐off voltage (≥4.5 V) and high current density have attracted much attention. However, the material‘s insufficient intrinsic electronic/ion conductivity and interface instability are still key issues restricting its electrochemical performance.In this paper, a graphene/Ta2O5 co‐coating layer is successfully fabricated on the surface of NCM523 to form a cathode material of GTa‐NCM523 to enhance both the electron and lithium‐ion transport during cathode operation. The GTa‐NCM523 cathode material achieves a discharge specific capacity of 147.4 mAh g−1 after 600 cycles at a voltage of 3.0–4.5 V and a rate of 1 C (180 mA g−1) with a capacity retention rate of 81.4 %. In contrast, the uncoated NCM523 only retains 63.2 % of its capability. At an elevated rate of 10 C (1800 mA g−1), the GTa‐NCM523 can achieve a discharge‐specific capacity of up to 113.5 mAh g−1, which is 43.7 % higher than the uncoated NCM523. The co‐coating layer can inhibit HF erosion and accelerate the movement of lithium‐ions and electrons, which account for the superior electrochemical characteristics of the co‐coating layer comprised of graphene and Ta2O5.
Caveat emptor as an obstacle to business transfers: Effect of product line liability exceptions on acquisitions, entry, and exit
Authors: Balasubramanian Natarajan , Sivadasan Jagadeesh , Xu Wenjian 
Published: January 2024

AbstractResearch SummaryBeing able to sell a business not only allows a firm to exit an industry but is also a motivation for entrepreneurial entry. Therefore, factors that make acquisitions less desirable for potential acquirers could not only affect the rate of acquisitions, but also entry and exit. We test this in the context of judicial adoptions of product line exceptions, which increased acquirer exposure to potential accumulated liabilities. We find that after adoption, and relative to nonmanufacturing establishments, acquisitions of manufacturing establishments decrease, while exits through closure increase. Relative entry of manufacturing establishments declines. These effects are higher in industries where resalability of physical capital is lower and for smaller entrants. Interestingly, while the likelihood of acquisitions declines for older establishments, it increases for younger ones.Managerial SummaryMaking it harder to sell a business not only hinders business transfers but also affects business entry and exit. This is because entrepreneurs and businesses often exit by selling to other firms, not just through closures. Based on comprehensive data on US establishments, we provide evidence supporting this thesis. We find that after judicial adoption of a legal principle that holds acquirers accountable for the acquired firm's product line liabilities, the probability of manufacturing establishments (which are more likely to have such liabilities) being acquired decreases more than that of other establishments. Simultaneously, closures as a form of exit increase, and the relative entry of manufacturing establishments declines. These findings underscore the strategic importance of acquisition‐driven exits for businesses and entrepreneurs.
Tuning the Pyridine Units in Vinylene‐Linked Covalent Organic Frameworks Boosting 2e− Oxygen Reduction Reaction
Authors: Yang Shuai , Meng Fancheng , Li Xiaomeng , Fu Yubin , Xu Qing , Zhang Fan 
Published: January 2024

AbstractThe N‐doped carbon materials are supposed to be the efficient oxygen reduction reaction (ORR) catalysts with the undefined N‐doped carbon ring groups. It is essential to well define the role of the nitrogen atoms of these carbon structures in active behavior. Even though, the covalent organic frameworks (COFs) with precise structures are well developed, but unable to exclude the polar linkages influence. This study presents a series of pyridine‐containing COFs linked via nonpolar carbon–carbon double bonds (C = C). Their catalytic activity and selectivity for 2e− ORR are successfully modulated by locating the embedded pyridine nitrogen in the backbones through the linking modes of pyridine moieties within the frameworks. Such phenomena can be attributed to their different binding abilities toward O2, leading to the different binding strength of the intermediate OH* to the catalytic sites, also verified by the theoretical calculation. This work provides us a new insight to design high‐efficiency ORR catalysts through the exact location of pyridine nitrogen.