bluuebunny/crossref_metadata_2025_split huggingface dataset:
Linear regression model for metal–organic frameworks with CO2 adsorption based on topological data analysis
Authors: Akagi Kazuto , Naito Hisashi , Saikawa Takafumi , Kotani Motoko , Yoshikawa Hirofumi 
Published: May 2024

AbstractMetal–organic frameworks (MOFs), self-assembled porous materials synthesized from metal ions and organic ligands, are promising candidates for the direct capture of CO2 from the atmosphere. In this work, we developed a regression model to predict the optimal component of the MOF that governs the amount of CO2 adsorption per volume based on experimentally observed adsorption and structure data combined with MOF adsorption sites. The structural descriptors were generated by topological data analysis with persistence diagrams, an advanced mathematical method for quantifying the rings and cavities within the MOF. This enables us to analyze direct effects and significance of the geometric structure of the MOF on the efficiency of CO2 adsorption in a novel way. The proposed approach is proved to be highly correlated with experimental data and thus offers an effective screening tool for MOFs with optimized structures.
Analysis on charge-retention characteristics of sub-threshold synaptic IGZO thin-film transistors with defective gate oxides
Authors: Lee Sungsik 
Published: May 2024

AbstractWe provide a quantitative analysis on the charge-retention characteristics of sub-threshold operating In–Ga–Zn–O (IGZO) thin-film transistors (TFTs) with a defective gate-oxide for low-power synaptic applications. Here, a defective SiO2 is incorporated as the synaptic gate-oxide in the fabricated IGZO TFTs, where a defect is physically playing the role as an electron trap. With this synaptic TFT, positive programming pulses for the electron trapping are applied to the gate electrode, followed by monitoring the retention characteristics as a function of time. And this set of the programming and retention-monitoring experiments is repeated in several times for accumulating effects of pre-synaptic stimulations. Due to these accumulated stimulations, electrons are expected to be getting occupied within a deeper trap-state with a higher activation energy, which can lead to a longer retention. To verify these phenomena, a stretched exponential function and respective inverse Laplace transform are employed to precisely estimate a retention time and trap activation-energy for transient experimental results.
Simulation and optimization of 30.17% high performance N-type TCO-free inverted perovskite solar cell using inorganic transport materials
Authors: Nyiekaa Emmanuel A. , Aika Timothy A. , Danladi Eli , Akhabue Christopher E. , Orukpe Patience E. 
Published: May 2024

AbstractPerovskite solar cells (PSCs) have gained much attention in recent years because of their improved energy conversion efficiency, simple fabrication process, low processing temperature, flexibility, light weight, and low cost of constituent materials when compared with their counterpart silicon based solar cells. Besides, stability and toxicity of PSCs and low power conversion efficiency have been an obstacle towards commercialization of PSCs which has attracted intense research attention. In this research paper, a Glass/Cu2O/CH3NH3SnI3/ZnO/Al inverted device structure which is made of cheap inorganic materials, n-type transparent conducting oxide (TCO)-free, stable, photoexcited toxic-free perovskite have been carefully designed, simulated and optimized using a one-dimensional solar cell capacitance simulator (SCAPS-1D) software. The effects of layers’ thickness, perovskite’s doping concentration and back contact electrodes have been investigated, and the optimized structure produced an open circuit voltage (Voc) of 1.0867 V, short circuit current density (JSC) of 33.4942 mA/cm2, fill factor (FF) of 82.88% and power conversion efficiency (PCE) of 30.17%. This paper presents a model that is first of its kind where the highest PCE performance and eco-friendly n-type TCO-free inverted CH3NH3SnI3 based perovskite solar cell is achieved using all-inorganic transport materials.
A double machine learning model for measuring the impact of the Made in China 2025 strategy on green economic growth
Authors: Yuan Jie , Liu Shucheng 
Published: May 2024

AbstractThe transformation and upgrading of China’s manufacturing industry is supported by smart and green manufacturing, which have great potential to empower the nation’s green development. This study examines the impact of the Made in China 2025 industrial policy on urban green economic growth. This study applies the super-slacks-based measure model to measure cities’ green economic growth, using the double machine learning model, which overcomes the limitations of the linear setting of traditional causal inference models and maintains estimation accuracy under high-dimensional control variables, to conduct an empirical analysis based on panel data of 281 Chinese cities from 2006 to 2021. The results reveal that the Made in China 2025 strategy significantly drives urban green economic growth, and this finding holds after a series of robustness tests. A mechanism analysis indicates that the Made in China 2025 strategy promotes green economic growth through green technology progress, optimizing energy consumption structure, upgrading industrial structure, and strengthening environmental supervision. In addition, the policy has a stronger driving effect for cities with high manufacturing concentration, industrial intelligence, and digital finance development. This study provides valuable theoretical insights and policy implications for government planning to promote high-quality development through industrial policy.
Thermophilic-mesophilic temperature phase anaerobic co-digestion compared with single phase co-digestion of sewage sludge and food waste
Authors: Hu Yangqing , Shen Ce 
Published: May 2024

AbstractAnaerobic co-digestion is an effective method for addressing the issue of a single substrate not being able to achieve optimal conditions for anaerobic digestion. By adjusting the mixture ratio of sewage sludge and food waste to achieve the optimal carbon to nitrogen ratio, the effectiveness of thermophilic–mesophilic temperature phase anaerobic co-digestion (TPAcD) was evaluated in comparison to single phase mesophilic anaerobic co-digestion (MAcD) and thermophilic anaerobic co-digestion (TAcD). The results indicated that TPAcD increased methane yield by 50.3% and 32.7% compared to MAcD and TAcD, respectively. The variation in VFA, pH, and ammonia nitrogen levels demonstrated that TPAcD combines the advantages of both MAcD and TAcD, with a higher hydrolysis rate in the early stage under thermophilic conditions (55 °C) and a suitable environment in the later stage under mesophilic conditions (35 °C). The kinetic parameters of anaerobic co-digestions also demonstrated that TPAcD performs better. Therefore, further research on TPAcD of sewage sludge and food waste is warranted due to its significant improvements in methane production rate, total methane yield, and system stability. Additionally, TPAcD contributes to reducing carbon emissions and supports the realization of “carbon neutrality”.
Nonlinear associations between the ratio of family income to poverty and all-cause mortality among adults in NHANES study
Authors: Yi Hong , Li Minghui , Dong Youzheng , Gan Zumao , He Lei , Li Xiaozhong , Tao Yu , Xia Zirong , Xia Zhen , Xue Yumei , Zhai Zhenyu 
Published: May 2024

AbstractSocioeconomic status (SES) has been linked to mortality rates, with family income being a quantifiable marker of SES. However, the precise association between the family income-to-poverty ratio (PIR) and all-cause mortality in adults aged 40 and older remains unclear. A cross-sectional study was conducted using data from NHANES III, including 20,497 individuals. The PIR was used to assess financial status, and various demographic, lifestyle, and clinical factors were considered. Mortality data were collected from the NHANES III linked mortality file. The study revealed a non-linear association between PIR and all-cause mortality. The piecewise Cox proportional hazards regression model showed an inflection point at PIR 3.5. Below this threshold, the hazard ratio (HR) for all-cause mortality was 0.85 (95% CI 0.79–0.91), while above 3.5, the HR decreased to 0.66 (95% CI 0.57–0.76). Participants with lower income had a higher probability of all-cause mortality, with middle-income and high-income groups showing lower multivariate-adjusted HRs compared to the low-income group. This study provides evidence of a non-linear association between PIR and all-cause mortality in adults aged 40 and older, with an inflection point at PIR 3.5. These findings emphasize the importance of considering the non-linear relationship between family income and mortality when addressing socioeconomic health disparities.
Exploring artificial intelligence generated content (AIGC) applications in the metaverse: Challenges, solutions, and future directions
Authors: Wang Xutian , Hong Yan , He Xiaoming 
Published: May 2024

AbstractIn recent years, the Metaverse has gained attention as a hub for technological revolution. However, its main platform suffers from issues like low‐quality content and lackluster virtual environments, leading to subpar user experiences. Concerns arise from declining interest in NFTs and failed virtual real estate ventures, casting doubt on the Metaverse's future. Artificial intelligence generated content (AIGC) emerges as a key driver of Metaverse advancement, using AI to create digital content efficiently and affordably. AIGC also enables personalized content, enhancing the Metaverse. This paper examines the link between the Metaverse and AIGC, exploring AIGC's applications, underlying technologies, and future challenges. It reveals that while AIGC shows promise for improving the Metaverse, its technologies must better align with development needs to deliver immersive experiences.
Adaptive fault‐tolerant control of a nonlinear 2‐DOF helicopter system with prescribed performance
Authors: Bi Hui , He Weitian , Wang Xiaowei , Zou Tao , Zhao Zhijia 
Published: May 2024

AbstractThis study investigates a novel tracking control with prescribed performance for an uncertain nonlinear 2‐DOF helicopter subject to actuator failure. The control design aims to address partial actuator faults, and to mitigate their effects, an adaptive auxiliary variable is introduced. Additionally, a neural network is employed to accurately approximate the system uncertainties. The prescribed performance is formulated as time‐varying constraints, and the barrier Lyapunov function (BLF) technique is applied to achieve the constrained control. Finally, the stability analysis of the closed‐loop system is provided, and the validity of the proposed control scheme is illustrated through a simulation study on the 2‐DOF helicopter system.
Stability analysis and improvement based on virtual impedance for electrolytic capacitor‐less DC multi‐port converter
Authors: Chen Jiang , Xu Ying , Zhang Jiantao , Li Can , Zeng Yang , Li Yuyang , Wei Zhiguo 
Published: May 2024

AbstractThe DC multi‐port converter's applications are increasing owing to its favourable features, including variable control mode, high power density, and bi‐directional power supply. On the other hand, the impedance interaction between each port of the electrolytic capacitor‐less DC multi‐port converter may generate an instability. To address the above mentioned problem, a method is proposed in this paper for reshaping the impedances of the energy storage converter by constructing a virtual impedance connected in parallel with the output impedance of the electrolytic capacitor‐less DC multi‐port converter. Furthermore, this paper introduces the stability criterion based on the unified impedance theory, which classifies a converter as either the bus current‐controlled converter or the bus voltage‐controlled converter. The proposed control approaches raise the magnitude of the output impedance of the electrolytic capacitor‐less DC multi‐port converter to satisfy the unified impedance theory criterion without modifying each port. The simulation results show that the proposed method is better than the traditional methods, and comprehensive experimental results are provided to validate the proposed methods.
Research on power quality improvement system based on dynamic voltage restorer
Authors: Liu Ancheng , Wang Yipei , Zhu Yaochen , Park Sung‐Jun 
Published: May 2024

AbstractPower quality is a critical issue in power systems that can affect the performance and reliability of sensitive equipment. The dynamic voltage restorer (DVR) is a widely used technology for improving power quality, but it mainly focuses on mitigating voltage sags and often neglects the issue of harmonic distortion. This paper proposes a DVR voltage compensation strategy based on the discrete Fourier transform (DFT). This strategy utilizes the DFT to analyze the voltage waveform, separating the fundamental and desired harmonic components. With this strategy, the DVR can effectively compensate for voltage sag and achieve selective harmonic compensation, thereby improving the power quality of the power system. Additionally, a method utilizing hardware circuitry and an LED as a timestamp is proposed to dynamically estimate digital siginal processor (DSP) resource occupancy rate in real‐time, ensuring effective compensation while minimizing resource occupancy. A 3 kW DVR experimental prototype was constructed and tested to evaluate the practicality of the proposed strategy. The simulation and experimental results show that the method proposed in this paper successfully realizes the compensation of voltage sag and harmonics in the power system, and improves the stability and reliability of the power system.
A novel soft‐switching quadratic high voltage gain trans‐inverse DC/DC converter
Authors: Hasanpour Sara 
Published: May 2024

AbstractThis paper suggests a new non‐isolated high step‐up DC/DC converter with soft‐switching performance and low input current ripple for renewable energy generation systems. In this introduced circuit, a three‐winding coupled‐inductor combined with a quadratic boost circuit and voltage multiplier cell to obtain high voltage gains. The advanced features of the proposed topology are its ultra‐high voltage gain, soft‐switching performance, low voltage stress across the switching components, continuous input current with low ripple, and the existence of a common ground between the input source and output load. Due to the partial trans‐inverse property in the suggested topology, higher voltage gains can be achieved under smaller turns ratios of the coupled in comparison to the other typical topologies, which leads to efficiency improvement. Moreover, in this introduced circuit, the voltage stress on the single power switch is mitigated using a regenerative clamp circuit. The theory and operating principle of the suggested converter, along with the steady‐state analysis and efficiency interpretation of the proposed converter are discussed in detail. Finally, to verify the theoretical analysis, a 200 W (25 V/400 V) sample prototype is established.
Multimodal imbalanced‐data fault diagnosis method based on a dual‐branch interactive fusion network
Authors: He Jing , Yin Ling , Sheng Zhenwen 
Published: May 2024

AbstractBearing‐fault diagnosis in rotating machinery is essential for ensuring the safety and reliability of mechanical systems. However, under complicated working conditions, the number of normal mechanical equipment samples can far exceed the number of faulty ones. When the data are so imbalanced, data fault diagnosis cannot be easily conducted using conventional deep learning methods. This study proposes a fault diagnosis method based on a dual‐branch interactive fusion network, which improves the accuracy and stability of bearing‐fault diagnosis. First, a dual‐branch feature representation network comprising an iterative attention‐feature fusion residual neural network and a long short‐term memory network is designed for extracting different modal features. Meanwhile, intermodal fusion of the extracted features is performed through multilayer perception. Based on the cost‐sensitive regularization loss, a new joint loss function is then designed for network training. Finally, the effectiveness of the proposed method is verified through comparative experiments, visualization analyses, ablation experiments, and generalization performance experiments.
Risk Factors for Recurrence after Surgical Resection of Sinonasal Inverted Papilloma
Authors: Delaine Eugénie , Gorostidi François , Guilcher Pierre , Lambercy Karma , Litzistorf Yann , Bron Luc , Reinhard Antoine 
Published: May 2024

Abstract
Introduction Sinonasal inverted papilloma (SNIP) is a rare benign epithelial tumor of the nasal cavity and paranasal sinuses that accounts for 0.4% and 4.7% respectively, of all tumors of this anatomical region.
Objective To analyze the outcomes after surgical resection of SNIP and identify the risk factors for recurrence in a Swiss tertiary center.
Methods We conducted a retrospective review of all cases of SNIP treated at the Lausanne university hospital between 2005 and 2018. All data available on the patients and tumors were collected for analysis. We studied the recurrence rate and looked for risk factors.
Results We included 57 patients with a mean age of 55.5 years. There were 46 primary cases (80.7%) and 11 recurrences (19.3%). Maxillary sinus was the most frequent location (33.3%). Approximately half of the patients (52.6%) presented with a T3 tumor according to the Krouse classification. The mean recurrence rate after surgery was of 17.5% and it was more frequent among the patients in the recurrence group (45.5%) than among the primary cases (10.9%), reaching statistical significance (odds ratio [OR] = 6.8; 95% confidence interval [95%CI]: 1.5–30.8; p = 0.0165). Most patients were treated endoscopically (94.7%). Frontal sinus location, higher Krouse stage, and combined approach seemed to increase the risk of recurrence, but without statistical significance.
Conclusion Difficult surgical access, as in the case of tumors located in the frontal sinus, higher stage of the disease, and previously operated cases carry the higher risk of incomplete resection and recurrence.
Mismatch Negativity in Children with Deficits in Auditory Abilities
Authors: Pinto Julia Dalcin , Temp Déborah Aurélio , Ferreira Laís , Souza Amália El Hatal de , Garcia Michele Vargas , Andrade Adriana Neves de , Biaggio Eliara Pinto Vieira 
Published: May 2024

Abstract
Introduction Mismatch negativity (MMN) represents a negative component of event-related potentials, which is mentioned by guidelines as an important tool to provide measurable data regarding the functionality of the auditory system in acoustic processing. However, the literature still lacks reliable data that can support the clinical use of this potential in the complementary diagnosis of central auditory processing (CAP) disorder (CAPD).
Objectives To analyze whether MMN assessment might be associated with the CAP behavioral test battery, as well as to assess the effects of auditory ability deficits on MMN responses in the pediatric population.
Methods In total, 45 age-matched children participated in the study. They were submitted to the CAP behavior assessment and to MMN. The children were tested with a combination of speech contrast consisting of acoustic syllables [da] versus [ta], governed by the oddball paradigm.
Results Mismatch negativity did not show a direct association with a single test but with the combination of the four tests used as a behavioral test battery to identify CAPD. The results also indicated that the auditory ability deficits influenced the measurement of MMN latency (p = 0.003*), but not the amplitude (p = 0.857) or the area (p = 0.577).
Conclusion Mismatch negativity was shown to be statistically associated with the battery of tests used to identify deficits in auditory abilities in the studied sample rather than with a single behavioral test. The deficits in auditory abilities were observed in the MMN latency. Mismatch negativity can be used to assess children with CAPD.
Assessment of the Use of Telemedicine by Brazilian Otolaryngologists through an Online Questionnaire
Authors: Felippu Alexandre Wady Debes , Morsch Thiago Picolli , Brandão Neto Deusdedit , Moretti Eduarda Montenegro , Felippu André Wady Debes , Cascio Filippo , Voegels Richard Louis 
Published: May 2024

Abstract
Introduction The coronavirus disease 2019 (COVID-19) pandemic has prompted a transformation in medical practice, including the adoption of telemedicine in Brazil and globally. Otorhinolaryngology, a field at high risk of viral transmission, has witnessed an increasing use of telemedicine tools. However, the extent and challenges of telemedicine in this field in Brazil are not well understood. In the present study, we applied a questionnaire to Brazilian otorhinolaryngologists during the pandemic to assess telemedicine's advantages and challenges, shedding light on its integration and persistent issues in the field.
Objective To assess the usage profile of telemedicine in the clinical practice of otolaryngology in Brazil.
Methods The present was a cross-sectional observational study with convenience sampling. It was conducted as a web-based questionnaire distributed and advertised to Brazilian otorhinolaryngologists through social media posts on WhatsApp (Meta Platforms, Inc., Menlo Park, CA, USA), Instagram (Meta Platforms, Inc.), Facebook (Meta Platforms, Inc.), as well as direct messaging and email.
Results The sample size was 186 participants. A total of 69% of them had already provided or were currently providing telemedicine services, and 34% considered it a frequent or very frequent form of work at the time of data collection. In total, 90% of the respondents considered the lack of physical examination a problem in otolaryngological teleconsultations, while 64% reported frequently or very frequently resolving patient problems through teleconsultations.
Conclusion Telemedicine emerged in the context of the COVID-19 pandemic as a promising tool for remote patient care. More studies are needed to elucidate its role in the context of limited physical examination.
The institutional logics of love: the order of passion in an intimate field
Authors: Friedland Roger , Roose Henk , Mohr John W. 
Published: May 2024

AbstractWe use Multiple Correspondence Analysis to capture the institutional logics of love and intimacy among a random sample of American university students. Comparing the theoretical assumptions of field theory and the institutional logics approach we explore whether institutional logics of intimacy exist, what kinds of practices are gathered in these logics, and whether these institutional logics are shaped by the actors’ field capitals,viz. gender and social class. Using survey data collected from a random sample of 1315 students from a large Pacific university (PU) we find that institutional logics of intimacy come in multiple forms: abstinence, loving sex and hookup sex, each characterized by its specific doings, feelings, and sayings. Our analyses further suggest that the logics of intimate practice have their own internal order, or grammar, which is only weakly conditioned by persons’ class or gender positions in the social structure. Although the perduring logics of intimacy are largely autonomous from persons’ positions in the field, the effects we do find largely echo Armstrong and Hamilton’s account of college life as a class project of young privileged women whose social networks formed through the Greek party scene (Armstrong and Hamilton inPaying for the Party. How College Maintains Inequality, Harvard University Press, Cambridge, 2013). Constellations of meaningful practice, not distributions of capitals among persons, overwhelmingly organize the pathways of practice.