bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effects of soft total quality management on the sustainable development of SMEs
Authors: Lepistö Kari , Saunila Minna , Ukko Juhani 
Published: March 2023

AbstractThis study investigates the soft total quality management (soft TQM) dimensions that affect the environmental and social sustainability of Finnish small and medium‐sized enterprises (SMEs), considering the company‘s business, size, and possible certificates as control variables. Sustainable business has been found to be key to the success of companies, so investing in it is essential for companies. With the help of extensive literature research, the TQM dimensions covering the entire business activity were determined, from which detailed issues were identified. To ascertain the level of implementation of detailed issues, the survey was constructed and sent to 6889 randomly selected CEOs in autumn 2020. A total of 271 responses were received. Based on prior literature and studies, 10 hypotheses were proposed. The collected data were analyzed using regression analysis. The results reveal that two practices—business management systems and human resources (HR) practices—were related to environmental sustainability, while only business management system was related to social sustainability. None of the control variables affected environmental sustainability; however, the industrial sector influenced social sustainability. The study presents recommendations for company managers and the government to support sustainable development, especially in Finnish SMEs. As a practical contribution, the study demonstrates the importance of designing and implementing business management systems for enhanced sustainability. Management should also appreciate that sustainability will not automatically be set at a high level upon certification; thus, the performance of operations and processes should be monitored.
Interface Density Engineering on Heterogeneous Molybdenum Dichalcogenides Enabling Highly Efficient Hydrogen Evolution Catalysis and Sodium Ion Storage
Authors: Huang Senchuan , Cao Yangfei , Yao Fen , Zhang Daliang , Yang Jing , Ye Siyang , Yao Deqiang , Liu Yan , Li Jiade , Lei Danni , Wang Xuxu , Huang Haitao , Wu Mingmei 
Published: March 2023

AbstractConstructing active heterointerfaces is powerful to enhance the electrochemical performances of transition metal dichalcogenides, but the interface density regulation remains a huge challenge. Herein, MoO2/MoS2 heterogeneous nanorods are encapsulated in nitrogen and sulfur co‐doped carbon matrix (MoO2/MoS2@NSC) by controllable sulfidation. MoO2 and MoS2 are coupled intimately at atomic level, forming the MoO2/MoS2 heterointerfaces with different distribution density. Strong electronic interactions are triggered at these MoO2/MoS2 heterointerfaces for enhancing electron transfer. In alkaline media, the optimal material exhibits outstanding hydrogen evolution reaction (HER) performances that significantly surpass carbon‐covered MoS2 nanorods counterpart (η10: 156 mV vs 232 mV) and most of the MoS2‐based heterostructures reported recently. First‐principles calculation deciphers that MoO2/MoS2 heterointerfaces greatly promote water dissociation and hydrogen atom adsorption via the O–Mo–S electronic bridges during HER process. Moreover, benefited from the high pseudocapacitance contribution, abundant “ion reservoir”‐like channels, and low Na+ diffusion barrier appended by high‐density MoO2/MoS2 heterointerfaces, the material delivers high specific capacity of 888 mAh g−1, remarkable rate capability and cycling stability of 390 cycles at 0.1 A g−1 as the anode of sodium ion battery. This work will undoubtedly light the way of interface density engineering for high‐performance electrochemical energy conversion and storage systems.
Moiré Enhanced Potentials in Twisted Transition Metal Dichalcogenide Trilayers Homostructures
Authors: Zheng Haihong , Wu Biao , Wang Chang‐Tian , Li Shaofei , He Jun , Liu Zongwen , Wang Jian‐Tao , Duan Ji‐an , Liu Yanping 
Published: March 2023

AbstractThe exploration of moiré superlatticesholds promising potential to uncover novel quantum phenomena emerging from the interplay of atomic structure and electronic correlation . However, the impact of the moiré potential modulation on the number of twisted layers has yet to be experimentally explored. Here, this work synthesizes a twisted WSe2 homotrilayer using a dry‐transfer method and investigates the enhancement of the moiré potential with increasing number of twisted layers. The results of the study reveal the presence of multiple exciton resonances with positive or negative circularly polarized emission in the WSe2 homostructure with small twist angles, which are attributed to the excitonic ground and excited states confined to the moiré potential. The distinct g‐factor observed in the magneto‐optical spectroscopy is also shown to be a result of the confinement of the exciton in the moiré potential. The moiré potential depths of the twisted bilayer and trilayer homostructures are found to be 111 and 212 meV, respectively, an increase of 91% from the bilayer structure. These findings demonstrate that the depth of the moiré potential can be manipulated by adjusting the number of stacked layers, providing a promising avenue for exploration into highly correlated quantum phenomena.
Triazole‐bearing oligo(ethylene glycol)‐strapped zinc porphyrins as dual mode ion‐binding receptors
Authors: Lee Jeong Heon , Hong Kyeong‐Im , Choi Woo Hyeok , Kim Younghun , Jang Woo‐Dong 
Published: March 2023

AbstractA series of triazole‐bearing oligo(ethylene glycol)‐strapped zinc porphyrins (PZn4EG and PZn5EG) have been prepared as artificial ion‐binding receptors. Both PZn4EG and PZn5EG exhibit UV/Vis absorption changes in a solvent‐dependent manner upon titration with halides and alkali metal ions. In tetrahydrofuran, both PZn4EG and PZn5EG exhibit spectral shifts upon the addition of halide ions through axial coordination, whereas the absorption does not change upon the addition of alkali metal ions. On the other hand, in 10% MeCN/CHCl3, the UV/Vis absorption spectra of both PZn4EG and PZn5EG do not change upon the addition of an excess amount of halide ions; however, PZn4EG and PZn5EG show selective alkali metal ion‐binding properties in this solvent. PZn4EG and PZn5EG display dramatic color changes and spectral shifts upon the addition of Li+ and K+, respectively. Because of the dramatic color changes that occurred upon binding, the determination of alkali metal ions would be possible.
Erasable Photopatterning of Stilbene‐Based Metal‐Organic Framework Films
Authors: Li Na , Gu Zhi‐Gang , Zhang Jian 
Published: March 2023

AbstractThe development of photosensitive materials for erasable photopatterning is of significant interest in anti‐counterfeiting and information storage applications. Herein two kinds of stilbene‐based metal‐organic framework (MOF) films with layer by layer method for studying photopatterning is reported. The resulting 2D Zn2(sdc)2 MOF film (sdc = 4,4′‐stilbenedicarboxylate) exhibits excellent photosensitive features with a very short photoconversion time (<35 s) while the 3D MOF Zn4O(sdc)6 film does not have the property due to the fact that only parallel and short distance arrangement of olefin groups in the adjacent MOF layers can trigger [2+2] photocycloaddition. Furthermore, the Zn2(sdc)2 film indicates obvious reversible fluorescent photoswitch behavior between yellow and blue fluorescence emission, which can achieve high‐efficient, erasable photopatterning with various sizes (ca. 20 microns to decimeter). This study not only develops a new kind of photosensitive crystalline network film but also provides erasable photopatterning from macroscopic to microscopic in optical applications.
Plastic energy evaluation of bilinear SDOF systems with fluid viscous dampers
Authors: Sebaq Mohammed Samier , Zhou Ying , Song Ge , Xiao Yi 
Published: March 2023

SummaryCurrent seismic practices are more concerned with dissipating a significant portion of seismic input energy than with lateral load resistance, as well as with determining seismic demands of structures using response spectra. This study aims to improve the knowledge of the plastic energy spectra (
) of single‐degree‐of‐freedom systems (SDOF) equipped with fluid viscous dampers (FVDs). This type of dampers is characterized by its supplemental damping ratio
and velocity power
. Using nonlinear dynamic analyses, the
and its ratio to the input energy (
) are determined using near‐field‐pulse, near‐field‐non‐pulse and far‐field ground motions. Parametric studies are conducted to investigate the effect of ground motion types, original system features and FVD characteristics on
spectra. The results show that ground motion types have a considerable influence on the
for systems with FVDs, while they are not effective for systems without FVDs. Increasing FVD nonlinearity (decreasing α) is more effective to reduce the
under near‐field‐non‐pulse and far‐field motions than under near‐field‐pulse ground motions for structures with
> 1 s. The paper further developed a prediction equation for estimating
for SDOF systems without and with FVDs, which can serve as a useful tool to analyse structural damage for energy‐based seismic design.
Invariants of Multi-linkoids
Authors: Gabrovšek Boštjan , Gügümcü Neslihan 
Published: March 2023

AbstractIn this paper, we extend the definition of a knotoid to multi-linkoids that consist of a finite number of knot and knotoid components. We study invariants of multi-linkoids, such as the Kauffman bracket polynomial, ordered bracket polynomial, the Kauffman skein module, and the T-invariant in relation with generalized $$\Theta $$
Θ
-graphs.
Good clinical outcomes, a high level of patient satisfaction and an acceptable re-operation rate are observed 7–10 years after augmented hip abductor tendon repair
Authors: Ebert Jay R. , Jain Mikhil , Janes Gregory C. 
Published: March 2023

Abstract
Purpose
To investigate the clinical outcome, level of patient satisfaction, re-injury and re-operation rates of patients 7–10 years after augmented hip abductor tendon repair.

Methods
Between October 2012 and May 2015, 146 patients were referred to the senior author with symptomatic hip abductor tendon tears, of which 110 (101 female, 92%) were included in the current study and underwent hip abductor tendon repair augmented with LARS. Patients had a mean age of 63.2 years (range 43–82), body mass index of 27.8 (range 20.0–40.2) and duration of symptoms of 3.6 years (range 6 months–18 years). Patient-reported outcome measures (PROMs) were evaluated pre-operatively and at 3, 6, 12 and 24 months, as well as 7–10 years post-operatively, including the Oxford Hip Score (OHS), 12-item Short Form Health Survey (SF-12), a Visual Analogue Pain Scale (VAS) evaluating the frequency (VAS-F) and severity (VAS-S) of hip pain, and patient satisfaction. Adverse events, surgical failures, revisions and subsequent treatments on the ipsilateral hip were reported.

Results
A significant improvement (p < 0.05) was observed for all PROMs and, while a mean deterioration was observed for all PROMs from 24 months to final review (7–10 years), these were not significant (n.s.). In the 90 patients retained and assessed at final review, 93% were satisfied with their hip pain relief and 89% with their ability to participate in recreational activities. Overall, 9 (of 110, 8.2%) surgical failures were observed over the 7–10-year follow-up period.

Conclusions
Good clinical scores, a high level of patient satisfaction and an acceptable re-injury rate were observed at 7–10 years after augmented hip abductor tendon repair, demonstrating satisfactory repair longevity.

Level of evidence
IV.
Near real-time global ionospheric total electron content modeling and nowcasting based on GNSS observations
Authors: Jin Xulei , Song Shuli 
Published: March 2023

AbstractFor the purposes of routinely providing reliable and low-latency Global Ionosphere Maps (GIMs), a method of estimating hourly updated near real-time GIM with a time latency of about 1–2 h based on a 24-h data sliding window of Global Navigation Satellite System (GNSS) near real-time observations and real-time data streams was presented. On the basis of the implementation of near real-time GIM estimation, an hourly updated GIM nowcasting method was further proposed to improve the accurate of short-term total electron content (TEC) prediction. We estimated the Shanghai Astronomical Observatory near real-time GIM (SHUG) and nowcasting GIM (SHPG) in the solar relatively active year (2014) and quiet year (2021), and employed GIMs provided by the International GNSS Service, the Global Positioning System (GPS) differential slant TECs (dSTECs) extracted from global independent GNSS stations, and the vertical TECs (VTECs) inverted from satellite altimetry as the references to validate the estimated results. The GPS dSTECs evaluation results show that SHUG behaves fairly consistent with the rapid GIMs, with a discrepancy of less than 1 TEC unit (TECu) overall. The standard deviations (STDs) of SHUG with respect to Jason-2/-3 VTECs are no more than 10% over the majority of rapid GIMs due to the instability of observations. The performance of 1-h nowcasting SHPG is significantlybetter than the Center for Orbit Determination in Europe (CODE) 1-day predicted GIM (C1PG). GPS dSTEC validation results indicate that 1-h nowcasting SHPG is 1 to 2 TECu more reliable than C1PG in eventful ionospheric electron activity regions, and it outperforms the C1PG by 10% overall versus Jason-2/-3 VTECs. The hourly updated SHUG and SHPG have relatively high reliability and low time latency, and thus can provide excellent service for (near) real-time users and offer more accurate TEC background information than daily predicted GIM for real-time GIM estimation.
Nomogram for predicting fulminant necrotizing enterocolitis
Authors: Li Weibo , Zhang Chen , Li Wenli , Qin Fanyue , Gao Xiang , Xu Falin 
Published: March 2023

Abstract
Background
Fulminant necrotizing enterocolitis (FNEC) is the most serious subtype of NEC and has a high mortality rate and a high incidence of sequelae. Onset prediction can help in the establishment of a customized treatment strategy. This study aimed to develop and evaluate a predictive nomogram for FNEC.

Methods
We conducted a retrospective observation to study the clinical data of neonates diagnosed with NEC (Bell stage ≥ IIB). Neonates were divided into the FNEC and NEC groups. A multivariate logistic regression model was used to construct the nomogram model. The performance of the nomogram was assessed using area under the curve, calibration analysis, and decision curve analysis.

Results
A total of 206 neonate cases were included, among which 40 (19.4%) fulfilled the definition of FNEC. The identified predictors were assisted ventilation after NEC onset; shock at NEC onset; feeding volumes before NEC onset; neutrophil counts on the day of NEC onset; and neutrophil, lymphocyte, and monocyte counts on day 1 after NEC onset. The nomogram exhibited good discrimination, with an area under the receiver operating characteristic curve of 0.884 (95% CI 0.825–0.943). The predictive model was well calibrated. Decision curve analysis confirmed the clinical usefulness of this nomogram.

Conclusion
A nomogram with a potentially effective application was developed to facilitate the individualized prediction of FNEC, with the hope of providing further direction for the early diagnosis of FNEC and timing of intervention.
Financial model construction of a cross-border e-commerce platform based on machine learning
Authors: Zhou Kan 
Published: March 2023

AbstractWith the development of informatization, traditional industries have been seriously impacted by cross-border e-commerce (CBEC), and the financial management mode no longer meets the needs of CBEC users. As cross-border electronic trading platforms face enormous financial data challenges, they need financial supervision and effective network risk protection. Artificial intelligence (AI) can effectively improve the financial accounting ability and resource integration of platforms. However, at present, the underdeveloped financial management system of CBEC platforms and problems, such as the running records of platform funds have seriously hindered the development of the financial standardization of platforms because the financial management system affects managers’ statistical analysis of financial data. Therefore, this paper analyzes the financial risks, the management problems and the causes of these problems of CBEC platforms and then uses AI to study the financial operation of CBEC platforms. Subsequently, this paper uses a machine learning (ML) algorithm to analyze the financial data clustering center and the security factor of the financial model. Finally, this paper proposes some corresponding strategies for financial model optimization and construction that can improve the information security and capital management of CBEC finance and promote the long-term development of CBEC platforms. The experimental results show that the classifier value and the safety factor of the financial model of CBEC platforms gradually increase under the ML algorithm. The mean value of the classifier value is approximately 1.14, and the mean value of the safety factor is approximately 1.37. Overall, the initial value of the classifier value of the platform financial model is 0.85, which increases to 1.41 on the seventh day, while the whole process increases by 0.56. The initial value of the safety factor of the platform financial model is 1.10, which increases to 1.64 on the seventh day, while the whole process increases by 0.54. The transaction information security and financial accounting accuracy of the CBEC platform financial model is better than that of the original financial model. The transaction information security is 10.4% higher than that of the original financial model, and the financial accounting accuracy is 10% higher than that of the original financial model. In other words, both AI and ML can promote the financial accounting standards and long-term development of CBEC platforms.
Dynamic capabilities of maritime infrastructure: conceptual design of merchant vessels with usability in crisis
Authors: Hirayama Satoshi , Ichinose Yasuo , Wanaka Shinnosuke , Moser Bryan , Hiekata Kazuo 
Published: March 2023

AbstractToday’s social infrastructure, e.g., transportation, medical services, energy supply and distribution, may become temporarily unable to provide functions due to the damage to buildings or excessive congestion resulting from threats, such as natural disasters, rising sea levels, pandemics. Maritime-based responses, typified by hospital ships, are drawing attention as a method to mitigate these effects. However, while designing emergency infrastructure, it is necessary to consider not only the value of these systems in emergencies but also during normal times. This study adopts the systems approach, a set of methods to conduct decision-making when complex stakeholders’ relationships are involved. We focus on medical functions and propose a conceptual design for a flexible hospital ship with dynamic capability during emergencies as well as normal times. Specifically, we examine the optimal combination of ship type, size, navigation range during normal times, operations during emergencies, and contract approaches. Quantitative evaluation of utility during emergencies and economic efficiency are considered in tradeoff. In addition to the conventional cost-based study, we examined benefit–cost through ship sharing, in which ships are leased to the private sector as merchant vessels during normal times to generate revenue.
Combining and evaluating function-oriented solutions in model-based systems engineering
Authors: Irnich Lukas , Jacobs Georg , Zerwas Thilo , Konrad Christian 
Published: March 2023

AbstractIncreasing complexity and shorter innovation cycles require a rethink in the development of mechatronic products. A function-oriented development process using model-based systems engineering (MBSE) methods promises to identify technical solutions via solution-neutral functional architectures. Since each function can typically be realized by multiple, alternative solutions the combinatorial number of overall system solutions explodes. Existing MBSE approaches enable to establish functional architectures as well as support the verification of solutions. However, evaluating different solution combinations with the current state of research involves repetitive and time-consuming modeling which leads to a heuristic selection of potentially suboptimal solutions. In this paper, we present a method for the systematic and function-oriented composition and model-based evaluation of solution combinations. Alternative solutions are structured based on a functional architecture, so that each possible solution combination can be composed and simulated with a minimum of effort, considering physical interactions and the efficiency. Based on simulation results, solution combinations can be verified against requirements and evaluated striving for the best solution combination. The elaborated method extends an existing MBSE approach and is illustrated by the running example of an electrical coolant pump of a passenger vehicle.
Effect of generator torque ripple optimization on a geared wind turbine drivetrain
Authors: van Binsbergen Diederik , Valavi Mostafa , Nejad Amir R. , Helsen Jan 
Published: March 2023

AbstractIn this paper, the load effect of torque ripple reduction of a wind turbine generator is analyzed on the high-speed shaft gear stage and high-speed shaft bearings, which are the nearest components to the generator. Two generator designs with different torque ripples for the NREL 5‑MW reference wind turbine are considered. A decoupled analysis method is used, where global loads and torque ripple loads are used as input to a multibody model of the drivetrain in order to analyze the gear and bearing load response. Two different multibody models are considered in this work; one traditional decoupled model without generator inertia and one model with additional coupling and generator. For the model without generator inertia, statistical changes are observed for the load case with the largest torque ripple. This subsequently causes a limited increase in gear root bending damage and bearing fatigue damage. For the load case with the smallest torque ripple a limited statistical change and no damage increase is observed. For the model that includes the coupling and the generator, no statistical changes are observed between the simulation with the largest torque ripple and the smallest torque ripple. This is due to the torque ripple load that is expended to overcome the large inertia of the generator.
Virtual sensing of wind turbine hub loads and drivetrain fatigue damage
Authors: Mehlan Felix C. , Keller Jonathan , Nejad Amir R. 
Published: March 2023

AbstractThis paper presents a Digital Twin for virtual sensing of wind turbine aerodynamic hub loads, as well as monitoring the accumulated fatigue damage and remaining useful life in drivetrain bearings based on measurements of the Supervisory Control and Data Acquisition (SCADA) and the drivetrain condition monitoring system (CMS). The aerodynamic load estimation is realized with data-driven regression models, while the estimation of local bearing loads and damage is conducted with physics-based, analytical models. Field measurements of the DOE 1.5 research turbine are used for model training and validation. The results show low errors of 6.4% and 1.1% in the predicted damage at the main and the generator side high-speed bearing respectively.