bluuebunny/crossref_metadata_2025 huggingface dataset:
THE INFLUENCE OF WEBSITE CHARACTERISTICS, EXPERIENCE, CORPORATE IMAGE, AND TRUST, TOWARDS SATISFACTION ON JD.ID
Authors:   Widya Mandala Surabaya Catholic University Indonesia, Oroh Riski Stevanus Marijose , Agung Deatri Arumsari ,   Widya Mandala Surabaya Catholic University Indonesia, Ellitan Lena ,   Widya Mandala Surabaya Catholic University Indonesia
Published: January 2023

The internet plays a vital role in the business environment. With the internet, companies can easily reach targeted consumers in a wide area and can deliver their services faster. This technology gives rise to high competition between companies in terms of delivery of goods and services using the internet as a means. Companies that can take full advantage of the internet may be able to dominate the market. Internet usage can be measured by how companies manage their websites, consumer experience, image, and consumer trust, which can lead to satisfaction. This study aims to analyze and understand the effect of website characteristics, consumer experience, and company image on consumer satisfaction mediated by trust in JD.ID. This study uses a quantitative method by distributing online questionnaires to the JD.ID user community, with a total of 150 respondents with a minimum age of 17 years, and domiciled in Surabaya. The results showed that website characteristics and consumer experience significantly affect consumer trust. Further, corporate image has a significant effect on trust, while consumer trust has a significant effect on consumer satisfaction. Moreover, consumer trust strongly mediates the relationship between website characteristics, consumer experience, and company image on consumer satisfaction. The result indicates that the higher the characteristics of the JD.ID website, consumer experience, company image, and consumer confidence in JD.ID, the higher the level of consumer satisfaction.
Differences in individual bowhead whale Balaena mysticetus habitat use, foraging dive depth and diet during the peak feeding season
Authors: Pontbriand T , Davoren GK , Fortune SME , Pomerleau C , Young BG , Ferguson SH
Published: January 2023

Shifts in zooplankton quantity and quality caused by climate change could challenge the ability of bowhead whales to meet their energetic requirements. When facing such selection pressure, intra-population variation dampens the negative effects and provides population-level resilience. Previous studies observed inter-individual diet variation in bowhead whales, but the mechanism responsible for the variation was undetermined. We investigated foraging variability in Eastern Canada-West Greenland bowhead whales using dietary biomarkers (stable isotopes, fatty acids) and movement data (satellite telemetry with time-depth recorders) from the same individuals. We found that bowhead whale individuals using distinct summer and fall foraging habitats displayed differences in horizontal movements, foraging dive depth, and diet. For individuals using the Canadian Arctic Archipelago habitat (Foxe Basin, Gulf of Boothia, Prince Regent Inlet, Lancaster Sound and Admiralty Inlet, Nunavut), they performed long distance movements across regions, and their foraging dive depth was generally shallow, but increased from July to November. These whales displayed higher δ13C and δ15N values and ratios of C16:1n7/C16:0. Individuals using the West Baffin Bay habitat (Cumberland Sound, Baffin Bay, Davis Strait) were more localized in their horizontal movements and consistent over time in their foraging dive depth, which was generally deeper. These whales displayed lower δ13C and δ15N values and ratios of C16:1n7/C16:0. Overall, this inter-individual variation in diet and foraging behaviour could indicate some niche variation which would be beneficial for the population under changing habitats and prey availability.
Assessment of Delta-9-Tetrahydrocannabinol (THC) in Saliva and Blood After Oral Administration of Medical Cannabis With Respect to its Effect on Driving Abilities
Authors: TROJAN V , LANDA L , HRIB R , JURICA J , RYCHLICKOVA J , ZVONICEK V , HALAMKOVA L , HALAMEK J , DEMLOVA R , BELASKOVA S , SLIVA J
Published: January 2023

Medical cannabis has recently been legalized in many countries, and it is currently prescribed with increasing frequency, particularly for treatment of chronic pain resistant to conventional therapy. The psychoactive substance delta-9-tetrahydro-cannabinol (THC) contained in cannabis may affect driving abilities. Therefore, the aims of this study (open-label, monocentric, nonrandomized) were to evaluate blood and saliva concentrations of THC after oral administration of medical cannabis and to assess the time needed for THC levels to decline below a value ensuring legal driving. The study involved 20 patients with documented chronic pain using long-term medical cannabis therapy. They were divided into two groups and treated with two different doses of cannabis in the form of gelatin capsules (62.5 mg or 125 mg). In all patients, the amount of THC was assessed in saliva and in blood at pre-defined time intervals before and after administration. THC levels in saliva were detected at zero in all subjects following administration of both doses at all-time intervals after administration. Assessment of THC levels in blood, however, showed positive findings in one subject 9 h after administration of the lower dose and in one patient who had been given a higher dose 7 h after administration. Our finding suggested that for an unaffected ability to drive, at least 9-10 h should elapse from the last cannabis use.
Numerical investigations on the unsteady leakage flow and heat transfer characteristics of the turbine blade squealer tip
Authors: Jiang Shijie , Li Zhigang , Li Jun , Song Liming
Published: January 2023

The unsteady leakage flow and heat transfer characteristics of the turbine blade squealer tip was numerically investigated using three-dimensional Unsteady Reynolds-Averaged Naiver-Stokes (URANS) and standard k-ω turbulence model. The numerical simulated heat transfer coefficients of the turbine blade tip were well agreement with the experimental data. The accuracy of the numerical method was validated. The steady and unsteady leakage flow and heat transfer coefficient of the turbine blade squealer tip with and without film cooling was conducted. The unsteady leakage flow and heat transfer characteristics of the turbine blade squealer tip with film cooling design at three different blow ratios was numerically investigated. The obtained results show that the corner vortex and scraping vortex near the pressure side shows periodic fluctuation along the separation line of the leakage flow under the function of the pressure difference between the suction and pressure side of the blade tip, as well as the upstream vane unsteady wake flow. This unsteady flow behavior results in the fluctuation of the high heat transfer coefficients at the blade tip. The film cooling design along the camber line can effectively reduce the thermal load of the turbine blade squealer tip by comparison to without film cooling case. The time-averaged heat transfer coefficients of the turbine blade squealer tip reduce 9.0%, 12.4% and 13.2% at blowing ratio of .0.5, 1.0 and 1.5 comparison to without film cooling design in respective. The present work can provide the reference of the film cooling design for the turbine blade squealer tip.
Mass dimension one fields with Wigner degeneracy: A theory of dark matter
Authors: Ahluwalia Dharam , Hoff da Silva Julio Marny , Lee Cheng-Yang
Published: January 2023

Whatever dark matter is, it must be one irreducible unitary representation of the extended Lorentz group or another. We here develop a formalism of mass dimension one fermions and bosons of spin one half, and show that they provide natural dark matter candidates. By construction, they are covariant under space-time translations and boosts. However, incorporating the rotational symmetry is non-trivial and requires introducing a two-fold Wigner degeneracy thus doubling the degrees of freedom for particles and anti particles from two to four. With Wigner degeneracy, we have a well-defined theory of mass dimension one fields of spin one half that are physically distinct from the Dirac field. They are local, Lorentz covariant and have positive definite Hamiltonians. The framework also has the potential to resolve the cosmological constant problem, and supply dark energy.
Surveillance as a foundation for Disease prevention and control
Authors: JUSTUS OLADELE , Salibi G , Tzenios Nikolaos
Published: January 2023

Public Health definition: Public health surveillance is the ongoing systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice, closely integrated with the timely dissemination of these data to those who need to know. It is a system for organized and quick collection, analysis, and distribution of medical information to instigate rapid action.
The Development of Family Medicine Identity Scale
Authors: Ustunol Duygu , Kasim Ismail , Atayoglu Ali Timucin , Ozkara Adem
Published: January 2023

Aim: It is to put a scale into the use of the academic community which measures how well the doctors can interiorize the features concerning family practice the training of family practice specialization in our country, by developing a family practice identity scale that is peculiar to Turkey.

Methods: Our research is the study of developing a scale. A 5-point Likert scale is generated by creating the questionnaire and then the aforementioned scale is studied to verify the validation and reliability in Turkey. The scale has been performed on 351 people who work as academicians, specialists and residents in the field of family practice.

Results: During the analyses, while the first four factors whose eigenvalues are the highest are kept fixed, the questions from the other factors are distributed according to their content similarities. As a result, forty-six questions is obtained. Kaiser-Meyer-Olkin value conformity assessment the result was obtained at a very good level (KMO: 0.940) and Cronbach's alpha value was calculated as 0.952. The sub-scales are named by the contents of the questions: Patient-doctor communication, professional satisfaction, the scope of the working area and comprehensive approach, and biopsychosocial approach. It has been concluded that the scale is a valid and reliable questionnaire in Turkey after these advanced statistical analyses.

Conclusion: "The Scale of Family Practice Identification" is developed successfully. With the aforementioned scale, by observing the professional progress of residents, the doctors that have an occupational identity and sense of belonging can be trained for the community of family practice.

Keywords: family practice, reliability and validity, scales
Controlled released naringin-loaded liposome/sucrose acetate isobutyrate hybrid depot for osteogenesis in vitro and in vivo
Authors: Meng Di , Song Jinlin , Yi Yin , Li Jihong , Zhang Ting , Shu Yu , Wu Xiaohong
Published: January 2023

Introduction: A common problem in bone tissue engineering is that the burst release of active osteogenic factors is not beneficial for osteogenesis. This study aimed to prepare naringin (Ng) liposomes to reduce the burst release of Ng and improve new bone formation.

Methods: We synthesized Ng liposomes using the thin-film hydration method. Drug-encapsulation efficacy experiments were conducted using the ultracentrifugation technique. The morphology and size distributions of freezedried liposomes were determined by transmission electron microscopy and dynamic light scattering. The Ng liposomes and Ng-lipo/sucrose acetate isobutyrate (SAIB) depots were characterized using Fourier transform infrared spectroscopy and in vitro release studies. After implantation of the Ng-lipo/SAIB depots, in vitro osteoblast-liposome interactions and in vivo osteogenesis were tested.

Results: The formulation of freeze-dried Ng liposomes via an optimized recipe yielded nanosized (136.9 nm) negatively charged particles with a high encapsulation efficiency (~76.3%). Their chemical structure did not change after adding SAIB to the Ng liposomes. The burst release was reduced dramatically from 74.4% to 23.7%. In vivo, after 8 weeks, the new bone formation rate in the calvarial defects of Sprague-Dawley rats receiving Ng-lipo/SAIB was 57% compared with 25.18% in the control group (p = .0003).

Discussion: Our results suggested that Ng-lipo/SAIB hybrid depots could serve as candidate materials for drug delivery in bone regeneration applications.
Application of the oxycodone templated molecular imprinted polymer in adsorption of the drug from human blood plasma as the real biological environment; a joint experimental and density functional theory study
Authors: Khanlari Maryam , Daraei Bahram , Torkian Leila , Shekarchi Maryam , Manafi Mohammad Reza
Published: January 2023

In this project, we have synthesized and used a molecular imprinted polymer (MIP) for adsorption of oxycodone residue from the biological samples. Indeed, this study aims to develop a suitable method for determination of oxycodone drug residue in the human plasma using the common analysis methods. Therefore, the MIP was used for the solid phase extraction (MIP-SPE) approach in order to collect the oxycodone opioid and to concentrate it in the blood plasma samples. The extraction parameters such as adsorption time, pH, and the amount of sorbent in blood plasma were optimized and the capacity of loading amount (LA) for adsorbing it was determined. Moreover, a high performance liquid chromatography (HPLC)-UV detector method was validated and used for analyzing of the mentioned opioid extracted from plasma. The results showed that the limit of detection (LOD), and the limit of quantization (LOQ) for the developed MIP-SPE method were 1.24 ppb, and 3.76 ppb, respectively. Moreover, both of the MIP-, and non-imprinted polymers (NIP)-drug complexes were designed and were then optimized by the density functional theory (DFT) method. The results showed that the theoretical calculations supported the experimental data, confirming the favorability of adsorption of the drug by MIP compared to NIP.
Understanding parental hesitancy toward children's COVID-19 vaccinations: The influence of government, media and interpersonal communication
Authors: Clayton Carmen , Clayton Rafe , Al-Azri Sultan , Mogeh Ileyas , Potter Marie
Published: January 2023

In March 2022, the UK Health Security Agency and the National Health Service issued guidance for parents of children aged 5–11 concerning vaccinations. The guidance stated that parents of all children in this age bracket should be offered the chance to have their child vaccinated and that the procedure was particularly important for children who have health conditions that put them at high risk. However, expressions of child vaccine hesitancy rose steeply in the UK at the start of 2022 with 35.4% of primary school parents saying they were unlikely to vaccinate their children. Vaccination programmes are part of the global strategy for mitigating the effects of coronavirus disease, but their effectiveness is reliant upon high levels of uptake and administration. Vaccine hesitancy, for children in particular is an important concern, given that children can play a major role in coronavirus transmission within both families and schools. Listening to parental perspectives regarding the decision-making processes for vaccinating this age group, becomes fundamental in understanding childhood vaccine intentions. Through the analysis of semi-structured interviews, this paper is able to reveal detailed qualitative insights into the thoughts of UK parents and their attitudes toward children's vaccinations that quantitative statistics are otherwise unable to show. In the following article, we have identified a triangular relationship between government, media and interpersonal communication in shaping parental perspectives, leading to a mixture of both “pro-vax” and “anti-vax” attitudes [often simultaneously] in regards to the vaccination or non-vaccination of children. Our data provides original findings that will inform both policymakers and practitioners, building upon and extending the existing vaccination literature, furthering current debate and guiding future research.
Listening to what the system tells us: Innovative auditing for distributed systems
Authors: Di Pilla Piergiuseppe , Pareschi Remo , Salzano Francesco , Zappone Federico
Published: January 2023

Introduction

In recent years, software ecosystems have become more complex with the proliferation of distributed systems such as blockchains and distributed ledgers. Effective management of these systems requires constant monitoring to identify any potential malfunctions, anomalies, vulnerabilities, or attacks. Traditional log auditing methods can effectively monitor the health of conventional systems. Yet, they run short of handling the higher levels of complexity of distributed systems. This study aims to propose an innovative architecture for system auditing that can effectively manage the complexity of distributed systems using advanced data analytics, natural language processing, and artificial intelligence.

Methods

To develop this architecture, we considered the unique characteristics of distributed systems and the various signals that may arise within them. We also felt the need for flexibility to capture these signals effectively. The resulting architecture utilizes advanced data analytics, natural language processing, and artificial intelligence to analyze and interpret the various signals emitted by the system.

Results

We have implemented this architecture in the DELTA (Distributed Elastic Log Text Analyzer) auditing tool and applied it to the Hyperledger Fabric platform, a widely used implementation of private blockchains.

Discussion

The proposed architecture for system auditing can effectively handle the complexity of distributed systems, and the DELTA tool provides a practical implementation of this approach. Further research could explore this approach's potential applications and effectiveness in other distributed systems.
Impact of genetically predicted atrial fibrillation on cancer risks: A large cardio-oncology Mendelian randomization study using UK biobank
Authors: Li Wenjie , Huang Mingkai , Wang Rong , Wang Wei
Published: January 2023

Background

Increasing incidences of both atrial fibrillation (AF) and cancer have been observed in recent years. However, the casual association of both serious conditions has been scarcely evaluated and is considered to be a blank slate in cardio-oncology. Thus, we introduced Mendelian randomization (MR) methods to estimate the effects of AF on cancer risks.

Methods

We performed univariable and multivariable two-sample MR analyses to evaluate the effects of AF on the risk of 19 site-specific types of cancer. This MR study was conducted based on 111 independent AF-associated genetic instruments from genome-wide association studies and summarized-level data from corresponding cancer consortia. Multiple sensitivity analyses, including the leave-one-out analysis, MR-Egger regression, and MR-PRESSO tests, were further performed to examine the potential directional pleiotropic effects. Functional annotation was performed for common differentially expressed genes of AF and prostate cancer (PCA).

Results

A total of 6,777,155 European-descent people, including 533,725 cases and 6,243,430 controls, were included in the present MR analysis. Univariable MR analyses demonstrated a causal effect of AF on the incidence of PCA [odds ratio (OR): 0.96; 95% confidence interval (CI) 0.92–0.99, p = 0.01], and the causal effect remained significant (OR: 0.65; 95% CI 0.47–0.90, p = 0.01) after adjusting for potential confounders through the multivariable MR approach. However, no casual associations between AF and the other 18 site-specific cancer risks were observed (all p-values were > 0.05). The consistency of outcomes across complementary sensitivity MR methods further supported the causality. The functional analysis emphasized the essential role of antioxidant and xenobiotic catabolic processes in AF and PCA.

Conclusion

Contrary to the findings of several previous observational studies, our comprehensive MR analyses did not corroborate a causal role for AF in increasing the risk of various types of cancer. They did, however, demonstrate that AF may decrease the risk of PCA. Studies from larger sample sizes and individuals with different ethnic backgrounds are required to further support our conclusions.
Drug repurposing screening validated by experimental assays identifies two clinical drugs targeting SARS-CoV-2 main protease
Authors: Prada Gori Denis N. , Ruatta Santiago , Fló Martín , Alberca Lucas N. , Bellera Carolina L. , Park Soonju , Heo Jinyeong , Lee Honggun , Park Kyu-Ho Paul , Pritsch Otto , Shum David , Comini Marcelo A. , Talevi Alan
Published: January 2023

The COVID-19 pandemic prompted several drug repositioning initiatives with the aim to rapidly deliver pharmacological candidates able to reduce SARS-CoV-2 dissemination and mortality. A major issue shared by many of the in silico studies addressing the discovery of compounds or drugs targeting SARS-CoV-2 molecules is that they lacked experimental validation of the results. Here we present a computer-aided drug-repositioning campaign against the indispensable SARS-CoV-2 main protease (MPro or 3CLPro) that involved the development of ligand-based ensemble models and the experimental testing of a small subset of the identified hits. The search method explored random subspaces of molecular descriptors to obtain linear classifiers. The best models were then combined by selective ensemble learning to improve their predictive power. Both the individual models and the ensembles were validated by retrospective screening, and later used to screen the DrugBank, Drug Repurposing Hub and Sweetlead libraries for potential inhibitors of MPro. From the 4 in silico hits assayed, atpenin and tinostamustine inhibited MPro (IC50 1 µM and 4 μM, respectively) but not the papain-like protease of SARS-CoV-2 (drugs tested at 25 μM). Preliminary kinetic characterization suggests that tinostamustine and atpenin inhibit MPro by an irreversible and acompetitive mechanisms, respectively. Both drugs failed to inhibit the proliferation of SARS-CoV-2 in VERO cells. The virtual screening method reported here may be a powerful tool to further extent the identification of novel MPro inhibitors. Furthermore, the confirmed MPro hits may be subjected to optimization or retrospective search strategies to improve their molecular target and anti-viral potency.
A hybrid data assimilation system based on machine learning
Authors: Dong Renze , Leng Hongze , Zhao Chengwu , Song Junqiang , Zhao Juan , Cao Xiaoqun
Published: January 2023

In the earth sciences, numerical weather prediction (NWP) is the primary method of predicting future weather conditions, and its accuracy is affected by the initial conditions. Data assimilation (DA) can provide high-precision initial conditions for NWP. The hybrid 4DVar-EnKF is currently an advanced DA method used by many operational NWP centres. However, it has two major shortcomings: The complex development and maintenance of the tangent linear and adjoint models and the empirical combination of the results of 4DVar and EnKF. In this paper, a new hybrid DA method based on machine learning (HDA-ML) is presented to overcome these drawbacks. In the new method, the tangent linear and adjoint models in the 4DVar part of the hybrid algorithm can be easily obtained by using a bilinear neural network to replace the forecast model, and a CNN model is adopted to fuse the analysis of 4DVar and EnKF to adaptively obtain the optimal coefficient of combination rather than the empirical coefficient as in the traditional hybrid DA method. The hybrid DA methods are compared with the Lorenz-96 model using the true values as labels. The experimental results show that HDA-ML improves the assimilation performance and significantly reduces the time cost. Furthermore, using observations instead of the true values as labels in the training system is more realistic. The results show comparable assimilation performance to that in the experiments with the true values used as the labels. The experimental results show that the new method has great potential for application to operational NWP systems.
Hyperspectral image restoration via hybrid smoothness regularized auto-weighted low-rank tensor ring factorization
Authors: Luo Xuegang , Lv Junrui , Wang Bo , Liu Dujin , Wang Juan
Published: January 2023

Restoration of hyperspectral images (HSI) is a crucial step in many potential applications as a preprocessing step. Recently, low-rank tensor ring factorization was applied for HSI reconstruction, which has high-order tensors’ powerful and generalized representation ability. Although low-rank TR-based approaches with nuclear norm regularization achieved successful results for restoring hyperspectral images, there is still room for improved tensor low-rank approximation. In this article, we propose a novel Auto-weighted low-rank Tensor Ring Factorization with Hybrid Smoothness regularization (ATRFHS) for mixed noise removal in HSI. Nonlocal Cuboid Tensorization (NCT) is leveraged to transform HSI data into high-order tensors. TR factorization using latent factors rank minimization removes the mixed noise in HSI data. To highlight nuclear norms of factor tensors differently effective, an auto-weighted strategy is employed to reduce the more prominent factors while shrinking the smaller ones. A hybrid regularization combining total variation (TV) and phase congruency (PC) is incorporated into a low-rank tensor ring factorization model for the HSI noise removal problem. This efficient combination yields sharper edge preservation and resolves this weakness of existing pure TV regularization. Moreover, we develop an efficient algorithm for solving the resulting optimization problem using the framework of alternating minimization. Extensive experimental results demonstrate that our proposed method can significantly outperform existing approaches for mixed noise removal in HSI. The proposed algorithm is validated on synthetic and natural HSI data.
Contrasting changes of snow cover between different regions of the Tibetan Plateau during the latest 21 years
Authors: Gao Yang , Dong Huaiwei , Dai Yufeng , Mou Naixia , Wei Wenfan
Published: January 2023

The spatial and temporal resolutions of snow remote sensing data have been increasing, but the unique snow characteristics such as thin snow depth and high frequency of change on the Tibetan Plateau have limited their applicability in this region. In this study, five commonly used snow remote sensing data were evaluated based on snow observations at 139 stations during the latest 20 years, and the advantages of each data were integrated to develop a multi-source data fusion snow cover dataset for the Tibetan Plateau. Based on these data, we conducted snow zonation and comparative snow variability analysis on the Tibetan Plateau. The results indicated that the snow cover days on the Tibetan Plateau are not only influenced by the longest snow cover duration (SCD) but also controlled by the short-term snow cycles. More than 70% of the annual snow cover days come from short-term snow cycles, except the Amu Darya and Indus. From 2000 to 2021, 23.0% of the plateau has experienced a significant decrease in snow cover days (mainly in the southeast) and 4.9% has experienced a significant increase (mainly in the northwest). As the altitude increases, the area and magnitude of the decreased and increased snow cover increases, and at high altitude the areas with increased snow are greater than that with decreased. The significant reduction in the snow cover days over large areas of the plateau stems from the superimposed effect of the simultaneous reductions in the longest SCD and the short-term snow cycles, but the reduction in the Amu Darya and Indus comes mainly from the reduction in the short-term snow cycle. The significant increase in the snow cover days in the Amu Darya, Indus, Tarim, and Hexi mainly comes from the increase in the longest SCD, while that in the Yellow River and Qaidam mainly comes from the increase in the short-term snow cycles. This contrasting change in the snowpack on the Tibetan Plateau, which decreases in the southeast and increases in the northwest, with a large decrease at lower elevations and an increase at higher elevations, will bring new challenges to water resource management in the region.
The formation mechanism of landslides in typical fault zones and protective countermeasures: A case study of the Nanpeng River fault zone
Authors: Li Youjun , Zhang Hongri , Huang Liming , Li Hongming , Wu Xuexiao
Published: January 2023

Landslides are frequent in the Nanpeng River fault zone in southwest Yunnan. Based on a Zhen Qing Expressway survey, the geological conditions and characteristics of landslides in this area were studied. The conclusions are as follows: 1) the geological background was the internal cause of local highly steep slopes and broken rock masses. The main landslide types in study area are fault-type and accumulation landslides. 2) The formation of fault-type landslides is related to endogenous causes, such as tectonic movements, but they are less easily triggered than accumulation landslides. Accumulation landslides are related to broken rock masses and are sensitive to external factors such as rainfall and artificial unloading. 3) The coordinated control of permanent support engineering, local deformation control, and overall support reinforcement should be considered as preventive measures.
Analysis of fine grained sand and shale sedimentary characteristics in estuary based on sediment dynamics
Authors: Zhang Chaoqian , Hu Yongle , Wu Suwei , Tang Mingming , Zhang Kexin , Chen Heping , Wan Xuepeng , Huang Wensong , Han Di , Meng Zheng
Published: January 2023

Due to the dual effects of fluvial and tides, the tidal sand bars in estuaries have complex sedimentary characteristics and complex internal structures, making them difficult to predict and describe. In this paper, the sedimentary dynamics numerical simulation method is used to establish a tidal-controlled estuary model. The effects of tidal range and sediment grain size on tidal sand bars are simulated. The length, width, and thickness of tidal sand bars, as well as the length and thickness of the internal shale layer, are also analyzed. The results show that in the environment of a tide-controlled estuary, the tidal range has a more significant effect on tidal sand bars compared to the sediment grain size under the specific conditions used in this study. The main effect of tidal range on tidal sand bars is that the greater the tidal range, the greater the length-to-width ratio of the sandbank, and the higher the degree of sandbank development. In a tidal-controlled estuary environment, the formation and distribution of shale layer structures are also affected by tides: the length of the shale layer increases as the tidal energy increases, but the changes in the thickness are not obvious. Numerical simulations of the development and distribution of the tidal sand bars and shale layers in estuaries based on sedimentary dynamics will provide a basis for the sedimentary evolution of tide-controlled estuaries and will provide guidance for the exploration and development of tidal estuaries.
The total mass and spatial–temporal variability of aerial cryosphere over the Tibetan Plateau from 2003 to 2020
Authors: Yang Yifan , Dou Tingfeng , Xu Gaojie , Xiao Cunde
Published: January 2023

Changes in snow, ice, and ecological system over the Tibetan Plateau (TP) are extremely sensitive to local precipitation and radiation budget, which are largely modulated by the atmospheric ice. However, how much ice is there in the atmosphere over the TP and how it is distributed are still unclear. The total mass, spatial distributions, and long-term trends of atmospheric ice over the TP were evaluated by using four sets of satellite retrieval data (Aqua, Terra, the Suomi National Polar-orbiting Partnership (Suomi NPP), and NOAA-20) and ERA5 reanalysis data from 2003 to 2020. Based on the estimations using multiple satellite datasets, we concluded that the total mass of atmospheric ice could be up to 0.26±0.03 Gt over the TP from 2013 to 2020. The spatial distributions of atmospheric ice derived from various datasets were highly consistent. In general, the southwest and northeast areas of the TP were the low-concentration areas (0.05 kg/m2 in average), while the southeast area was the high-concentration area (0.09 kg/m2 in average), and this spatial pattern was most evident in summer. The high values around (0.15 kg/m2) were centered over Linzhi and its surrounding areas. The plentiful water vapor transported by southwest summer monsoon and steep topography jointly led to rapid growth of atmospheric ice in Southeast Tibet, which was the dominant reason for the higher ice concentration in this area.
Reflections on strategies for university supervision in special education
Authors: Bussey Heidi , Lay Celina Dulude
Published: January 2023

University supervisors for special education teachers are preparing teacher candidates to have many roles and responsibilities and to collaborate with many stakeholders, even as they begin their field experiences. In this self-study of teaching and teacher educator practice, we examined the narrative reflections of a university professor in her role as a university professor and supervisor for special education student teachers. Our narrative data revealed: individualized strategies for supporting the supervision of special education student teachers; how these tools emerged directly from background, experience, theory, and beliefs; the value of relationships in university supervision; and, reflection as a diagnostic tool for improving practice and identifying teacher educator knowledge.
Chronic physical exercise alleviates stress-associated amygdala metabolic activity in obese women: A prospective serial 18F-FDG PET/CT study
Authors: Pahk Kisoo , Joung Chanmin , Kwon Hyun Woo , Kim Sungeun
Published: January 2023

Background

Psychological stress is considered as a major risk factor for cardiovascular disease (CVD). Chronic exercise is known to reduce CVD risk partly through attenuating psychological stress. Obesity has been linked with increased levels of psychological stress. We aimed to prospectively evaluate whether physical exercise could alleviate stress-associated amygdala metabolic activity, assessed by 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) in women with obesity.

Material and methods

A total of 43 participants were enrolled in this study. Twenty-three obese women were participated in a physical exercise program 5 days per week for 3 months. The exercise program consisted of aerobic exercise and resistance training. Serial 18F-FDG PET/CT was taken before the start of physical exercise program (baseline) and after finishing the program (post-exercise). A total of 20 participants who underwent 18F-FDG PET/CT for general health check-up were enrolled as non-obese control group. Brain amygdala activity (AmygA) was calculated as maximum standardized uptake value (SUVmax) of amygdala normalized to mean SUV of temporal lobe.

Results

Chronic physical exercise significantly reduced AmygA and improved body adiposity and systemic inflammation. AmygA was highest in baseline, intermediate in post-exercise, and lowest in non-obese control group (0.76 ± 0.17, 0.61 ± 0.1, 0.52 ± 0.09, p < 0.001). Furthermore, physical exercise also abrogated the association of AmygA with systemic inflammation.

Conclusions

Chronic physical exercise reduced stress-associated amygdala metabolic activity and broke its association with systemic inflammation in obese women. This study could explain the putative mechanism underlying the health beneficial effect of exercise on CVD via attenuation of stress neurobiology.
A clinical prediction model for predicting the risk of liver metastasis from renal cell carcinoma based on machine learning
Authors: Wang Ziye , Xu Chan , Liu Wencai , Zhang Meiying , Zou Jian’an , Shao Mingfeng , Feng Xiaowei , Yang Qinwen , Li Wenle , Shi Xiue , Zang Guangxi , Yin Chengliang
Published: January 2023

Background

Renal cell carcinoma (RCC) is a highly metastatic urological cancer. RCC with liver metastasis (LM) carries a dismal prognosis. The objective of this study is to develop a machine learning (ML) model that predicts the risk of RCC with LM, which is used to assist clinical treatment.

Methods

The retrospective study data of 42,547 patients with RCC were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. ML includes algorithmic methods and is a fast-rising field that has been widely used in the biomedical field. Logistic regression (LR), Gradient Boosting Machine (GBM), Extreme Gradient Boosting (XGB), random forest (RF), decision tree (DT), and naive Bayesian model [Naive Bayes Classifier (NBC)] were applied to develop prediction models to predict the risk of RCC with LM. The six models were 10-fold cross-validated, and the best-performing model was selected based on the area under the curve (AUC) value. A web online calculator was constructed based on the best ML model.

Results

Bone metastasis, lung metastasis, grade, T stage, N stage, and tumor size were independent risk factors for the development of RCC with LM by multivariate regression analysis. In addition, the correlation of the relative proportions of the six clinical variables was shown by a heat map. In the prediction models of RCC with LM, the mean AUC of the XGB model among the six ML algorithms was 0.947. Based on the XGB model, the web calculator (https://share.streamlit.io/liuwencai4/renal_liver/main/renal_liver.py) was developed to evaluate the risk of RCC with LM.

Conclusions

This XGB model has the best predictive effect on RCC with LM. The web calculator constructed based on the XGB model has great potential for clinicians to make clinical decisions and improve the prognosis of RCC patients with LM.
A two-layer multi-energy management system for microgrids with solar, wind, and geothermal renewable energy
Authors: Xu Da , Zhong Feili , Bai Ziyi
Published: January 2023

The inherent intermittency of high-penetrated renewable energy poses economic and reliable issues of microgrid energy management. This study proposes a two-layer predictive energy management system (PEMS) for high-renewable multi-energy microgrid (MEM). In this MEM, geothermal, solar, and wind energy is converted and conditioned for electricity, thermal, and gas supplies, in which multi-energy complementarities are fully exploited based on electrolytic thermos-electrochemical effects. The proposed microgrid multi-energy management is a complicated and cumbersome problem because of their increasingly tight energy couplings and uncertainties of renewable energy sources (RESs). This intractable problem is thus processed by means of a two-layer PEMS with different time scales, where the system operating costs are minimized in the upper layer and the renewable fluctuations are coped with in the lower layer. Simulation studies on a high-renewable MEM are provided to indicate its effectiveness and superiority over a single time scale scheme. Simulations results show that the operating cost can be reduced by 22.2% with high RESs accommodation.
Digital economy enables common prosperity: Analysis of mediating and moderating effects based on green finance and environmental pollution
Authors: Zhang Jie , Qian Fangbin
Published: January 2023

This study aims to explore the impact of the digital economy on common prosperity. For this reason, a bidirectional fixed effect model based on panel data of 30 provinces (cities and autonomous regions) in China is empirically tested. The results show that the digital economy can significantly improve the level of common prosperity, and has a positive impact on green and sustainable economic activities such as promoting environmental improvement, coping with climate change and resource conservation and efficient utilization, which is still valid after a series of robustness tests. It also demonstrates the role of green finance as a partial intermediary in the process of shared prosperity and as a negative regulator of environmental pollution. Analysis of regional heterogeneity shows that the enabling effect of the digital economy on common prosperity is more significant in eastern and central provinces, but not significant in western provinces. The results of this study have some reference significance for some countries, where the gap between rich and poor has widened during the epidemic, to narrow the income gap and provide ideas for the parties that made commitments at the Glasgow Climate Summit (COP26) to curb warming and reduce CO2 emissions. That is, continuous improvement of digital infrastructure; emphasis on the intermediary role of green finance and the negative regulating role of local environmental pollution levels; following the relative comparative advantages of regions and formulating differentiated policies for the development of the digital economy, etc.
Numerical analysis of the internal flow and pressure pulsation characteristics of a submersible tubular electric pump device
Authors: Lv Yuting , Ding Ping , Liu Jinsheng , Ge Hengjun , Yang Fan , Tang Fangping
Published: January 2023

In order to clarify the non-constant flow characteristics of the impeller and bulb body of the submersible tubular electric pump device, the entire flow rate conduit of the pump device is numerically calculated using the numerical simulation method, focusing on the analysis of the non-constant flow field characteristics of the guide vane body and bulb body and the time–frequency variation law of the pressure pulsation, and the results of the physical model testing confirm the validity of the numerical simulation. The findings demonstrate that the impeller of a submersible tubular electric pump is mostly responsible for the impeller’s inlet pressure pulsation, and the number of impeller blades to the number of peaks and valleys is consistent. Under the high flow rate condition of 1.2 Qd, the pressure fluctuation in the impeller inlet, between the impeller and the guide vane is small, and the main frequency is located at three times the rotational frequency, and the pressure pulsation at the outlet of the guide vane body has no obvious pattern and small amplitude. As the flow rate increases, the peak value of pressure pulsation at each monitoring point in the characteristic section of the pump device gradually decreases. The pressure pulsation peak value varies widely, ranging from 0.058 to 0.15, at each monitoring location of the impeller inlet. The peak value of pressure pulsation at each monitoring point of the impeller outlet fluctuates less due to the change of flow rate. The size and scale of the omega vortex structure in the guide vane body at different moments of the same cycle is small, and the number of vortex structures from the guide vane body inlet to the outlet direction shows a gradual increase in the trend; with a rise in flow rate, there is a tendency for the velocity and deflection angle of the guide vane body outlet and bulb body outlet surface to decrease.
Static equivalent of distribution network with distributed PV considering correlation between fluctuation of PV and load
Authors: Xing Facai , Li Xin , Fan Haiwen , Zhao Kang , Li Shan , Li Changgang
Published: January 2023

With the grid connection of a large number of distributed photovoltaics (PVs), the structure and operation mode of the distribution network are changed. Detailed modeling of the distribution network can accurately analyze the impact of these changes on the power system but leads to high model complexity and large amounts of calculation. Equivalent of the distribution network effectively reduces the model scale, where the static equivalent is the basis for the other equivalents. Most of the existing static equivalent methods target a few typical operation modes. However, they are unsuitable for multiple variable scenarios caused by PV power fluctuation. This paper proposes a static equivalent method of the distribution network with distributed PVs to adapt to complex and changeable operation modes. Firstly, a scenario generation method of PV and load power based on kernel density estimation and a copula function is proposed considering fluctuation and correlation of PV and load. Secondly, a parameter optimization method based on particle swarm optimization (PSO) is proposed to optimize the parameters in the static equivalent model of the distribution network under a single operation mode. Thirdly, an equivalent parameter estimation model based on convolutional neural network (CNN) is proposed to improve the efficiency of model parameter calculation under multiple operation modes. The effectiveness of the proposed method is verified under an example of an actual distribution network in Shandong, China. This method has efficiency and is suitable for multiple operating modes.
Research on primary frequency regulation strategies for ancillary wind power inertia based on the rotor kinetic energy
Authors: Sun Li , Yang Peihong , Jiang Hui , Xu Yanfang , Kang Lan , Lu Xiuyan
Published: January 2023

The additional frequency control of wind turbines is an effective method to solve the problem of low inertia in power systems with high proportions of new energy. The primary frequency regulation of auxiliary wind power inertia systems based on rotor kinetic energy can not only make the wind turbine run at the maximum power point but also has the lowest cost and better economy of the auxiliary frequency regulation module. The wind power inertia output control scheme based on rotor kinetic energy control is constructed by considering the frequency response characteristics of synchronous generator sets and loads. The calculation model of the minimum inertia demand of the power system is established using the rate of change of frequency and the maximum frequency offset as constraints. Combined with the real-time operating conditions of the wind turbine, the speed regulation limit of the wind turbine rotor kinetic energy control is obtained to avoid wind turbine off-grid due to excessive frequency regulation. To prevent frequency secondary drop of the system during the speed recovery process, the steady speed recovery of the wind turbine is controlled by setting the rate of speed change. The feasibility of the strategy for the regulation of the auxiliary primary frequency proposed in this study was verified in an example based on a two-region, four-machine system. When a disturbance sets the sudden load power to 150 MW, under the kinetic energy control of the wind turbine rotor, the system frequency change rate and the maximum frequency offset are increased; in particular, the maximum frequency offset is reduced by 0.348 Hz, which further illustrates the flexibility and plasticity of the rotor kinetic energy control of the wind turbines. The results of this study provide a theoretical basis for adding additional frequency control to existing wind turbines.