bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ensemble Learning for Addressing Class Imbalance in Cardiology Appointment Scheduling and Overbooking
Authors: Aghaeifar Roya , Servis Greg , Khasawneh Mohammad 
Published: September 2023

Abstract
Purpose
Outpatient appointment scheduling is a critical aspect of healthcare services; however, the unpredictable nature of patient behavior poses challenges. This study focuses on predicting patient behavior in cardiology appointment scheduling in an outpatient cardiology practice within the Mount Sinai Health System (MSHS) to optimize overbooking strategies.
Methods
By reviewing the literature and conducting exploratory data analysis, significant features influencing patient behavior were identified. An ensemble learning model for an imbalanced class was developed to accurately predict the likelihood of no-show appointments and enable strategic overbooking decisions.
Results
The findings demonstrate that an increased lead time is associated with a greater probability of appointment no-shows. Patient-initiated rescheduling and cancellations were identified as the primary reasons for appointment changes. Moreover, while average wait time increases with age, younger individuals tend to have longer appointments. A stacking ensemble model for imbalanced classes and three machine-learning approaches were evaluated. The stacking ensemble model outperformed traditional techniques with an impressive F1 score of 92.3% and an AUC of 91%.
Conclusion
The proposed model enables allocating appointments based on patient preferences and characteristics, optimizing resource use, and reducing the number of cancellations and no-shows.
The Delayed Growth of China’s Health Impact Assessment: Disentangling Causes from Different Disciplines
Authors: Zhao Junteng , Lei Yining 
Published: September 2023

Abstract
Background
Health Impact Assessment (HIA) is a practical tool used to judge the potential health effects of a policy, program, or project on a population. In 2016, China started implementing HIA to promote its nationwide “Health First” political campaign. The central government developed a succession of laws and plans to shape HIA’s political-administrative framework, yet they are too broad to advise how to undertake an HIA at a local level. Since 2017, China has tested HIA pilots in several jurisdictions to institutionalize HIA. However, all HIA pilots are far from completion as of September 2023, moving at a much slower rate than other policy pilots. This raises the question of why HIA has been so slow to grow in the Chinese context. What can China do to further its HIA development? By seeking answers to these questions, this article aims to inform Chinese policymakers and planning researchers whose scholarly interests vary from health impact assessment to governance and institution building in a volatile global economy that now places a high value on planning for public health.
Methods
In this qualitative study, we conducted 17, one-off, semi-structured, online interviews with Chinese scholars and officials from various disciplines who had direct or indirect experience with HIA. The disciplines include urban planning, public policy, public health, etc. We identified four major themes through a codebook thematic analysis using ATLAS.ti 22.
Results
Four themes have emerged concerning the delayed growth of HIA in China. They are conceptual differences between EIA and HIA; technical issues associated with environmental hazards and individual health; legislative issues; and cross-sector collaboration issues.
Conclusions
The delayed growth of China’s HIA prevents the country from widely refining its policies, programs, and projects to achieve public health goals. To address this, the paper offers several recommendations, including emphasizing policies that enact changes and de-emphasizing scientific uncertainty; developing the HIA implementation law, supporting policies, and a practical guideline; and promoting multidisciplinary professional development. We believe that these recommendations will eventually speed up the HIA development in China. We also hope that the recommendations can offer policy guidance to other developing countries as they navigate their public health policies.
Whole process of standardization of diffusion-weighted imaging: Phantom validation and clinical application according to the QIBA profile
Authors: Choi Se Jin , Kim Kyung Won , Ko Yousun , Cho Young Chul , Jang Ji Sung , Ahn Hyemin , Kim Dong Wook 
Published: September 2023

Abstract
Objectives: To use the apparent diffusion coefficient (ADC) as reliable biomarkers, validation of MRI equipment performance and acquisition protocols should be performed prior to application in patients. This study aims to perform validation for various MRI equipment and clinical protocols for diffusion weighted imaging (DWI) using commercially available phantom, and the validated protocols were confirmed in patients’ images.
Materials and Methods: The MRI equipment performance of four different scanners and clinical brain protocols were validated using a Quantitative Imaging Biomarker Alliance (QIBA) diffusion phantom and cloud-based analysis tool. We evaluated performance metrics regarding accuracy and repeatability of ADC using QIBA profile. The validated clinical protocols were applied to 17 patients, and image quality and repeatability of ADC were assessed.
Results: The MRI equipment performance of all four MRI scanners demonstrated high accuracy in ADC measurement (ADC bias, -2.3% to -0.4%), excellent linear correlation to the reference ADC value (slope, 0.9–1.0; R2, 0.999–1.000), and high short-term repeatability [within-subject-coefficient-of-variation (wCV), 0%–0.3%]. The clinical protocols were also validated by fulfilling the QIBA claims with high accuracy of ADC measurement (ADC bias, -3.1-0.7%) and robust repeatability (wCV, 0%–0.1%). DWI acquired using the validated clinical brain protocols showed ideal image quality (mean score≥2.9) and good repeatability (wCV, 1.8–2.2 for white matter, 2.0–2.1 for cerebrospinal fluid).
Conclusion: The whole process of standardization of DWI demonstrated the robustness of DWI with high accuracy and repeatability across diverse MRI equipment and clinically optimized protocols, which is in accordance with the QIBA claims.
Performance-driven scheduling for malleable workloads
Authors: ALMAAITAH NJOUD OMAR , Singh David E. , Özden Taylan , Carretero Jesus 
Published: September 2023

Abstract

The development of adaptive scheduling algorithms that take advantage of malleability has become a crucial area of research in many large-scale projects. Malleable workloads can improve the system's performance but at the same time provide an extra dimension to the scheduling problem. This paper proposes an adaptive, performance-based job scheduling method that emphasizes the backfilling concept with malleability. The proposed method performs the malleability operations only when the estimated execution time of the involved applications is better than or equal to the execution time on the allocated resources without reconfiguration. The reconfiguration feasibility is determined by performance models considering the application scalability and reconfiguration overheads. Different policies for implementing malleability are presented, each targeting a specific workload in terms of job size and scalability. The comprehensive evaluation shows an improvement in the slowdown up to 49\% compared to the non-adaptive baseline scheduling algorithm.
Two-Dimensional Photonic Crystal Based Four-channel Demultiplexer in Graphene for Applications DWDM
Authors: Tavares Simone Cristina Costa , de Sousa Fabio Barros , de Oliveira Lelis Araujo , de Sousa Fiterlinge Martins , Miranda Igor Ramon Sinimbú , Costa Marcos B. C. 
Published: September 2023

Abstract
This work presents a 4-channel demultiplexer totally based on a two-dimensional photonic crystal (2 DPHC) with silicon rods and defects with the advent of a graphene sheet, in multiplexing systems that use DWDM (Dense Wavelength Division Multiplexing) [1]. In these projects, methods that incorporate plane wave expansion (PWE) and finite difference time domain (FDTD) are used, as they have significant efficiency to generate the photonic hollow modes of the demultiplexer and analyze the global distribution and transmission, respectively. Parameters of transmission overall performance, Q factor, spectral width and channel spacing of the demultiplexer are very important statistics to confirm the general overall performance of the device, whose values are about 100%, 1722.22, 0.9 nm and 10 nm, respectively [2], whose consequences are problem to the validation of the requirements of the DWDM device (ITU.G.694.1) [3]. The proposed demultiplexer includes a bus or linear waveguide with graphene to guide the slight wave and 4 resonant cavities wherein graphene is placed withinside the center to select out the wavelength in a hexagonal lattice form (RCH) of dielectric rods in air. The bus waveguide transmits slight into the resonant hole area and exits thru the respective falling waveguide. The proposed device is nanometer and can be used for the implementation of photonic protected circuits [4].
Construction of myostatin gene knockout C2C12 cell line and expression of related microRNA
Authors: Weng Shaoting , Zhang Wenhui , Ma Zanyang , Shi Senlin , Zhao Mengran , Ji Xinying , Wang Yao 
Published: September 2023

Abstract
The strategy of blocking MSTN signal transduction has always been regarded as an entry point and breakthrough in the treatment of patients with muscle loss. However, blocking agents often face problems such as lacking strength, fatigue and poor muscle proliferation due to muscle hypertrophy and multi-receptors. To shed light on these matters a serous of experiments were carried out on a C2C12 cell line in this study. Firstly, the pX601-SaCas9-sgRNA/puro vector carrying a Cas9 encoded gene was constructed, and subsequently used to produce MSTN-knockout (MSTN-KO) C2C12 cell lines. The expression level of MSTN protein and the growth characteristics of the cell lines were verified. Moreover, the expression of muscle-growth-related miRNAs in the cell lines were analyzed by RT-PCR. These results indicate that we successfully established a method for constructing MSTN-KO cell lines with stable passage. No expression of MSTN protein and strong cell proliferation were observed in the cell lines. Moreover, RT-PCR experiments showed that the expression levels of miR-1, miR-431, miR-206 and miR-133a were extremely significant increased(p < 0.01), the expression levels of miR-23a was significant increased༈p < 0.05༉, while the expression level of miR-486 was significant decreased༈p < 0.05༉, indicating that multiple miRNAs are closely associated with MSTN’s regulation. This study lays a foundation for further study of the effect of Mstn gene on the physiological function of myoblasts and the development of drugs that block MSTN signal pathway.
Investigating the Genetic Contribution of Effective Traits in Grain Yield of Durum Wheat under the Normal Irrigation and Drought Stress Conditions at the Terminal Drought
Authors: Taheri Rashin , Khodarahmpour Zahra , Khodarahmi Manoochehr , Moradi Mohammad 
Published: September 2023

Abstract
The current research has been conducted with 64 F7 recombinant inbred lines durum wheat resulting from crossing of the Shotordandan and Dena along with two parents in an alpha lattice design with two replications in two years (2016–2018) to investigate the genetic contribution of effective traits in grain yield and the relationship between traits and evaluation the susceptibility and tolerance to drought stress. Drought stress led to the decreased grain yield and its components but remobilization and efficiency of remobilization increased. Phenological traits and spike length had the lowest heritability value but the thousand kernel weight had the highest heritability. Frequency distribution of spike length, number of spikes per m2, number of seeds per plant, biological yield and harvest index was normal under two desired conditions and for grain yield under drought stress, indicating quantitative inheritance of these traits. Significant transgressive segregation in the positive direction was observed for yield components such as the number of spikes per square meter, the number of seeds per plant and the thousand kernel weight, as well as remobilization and remobilization efficiency in drought conditions. Grain yield under normal conditions had a positive and significant correlation with the number of spikes per plant and under stress conditions there was a positive and significant correlation with the number of spikes per plant, biological yield and harvest index. Based on drought tolerance and Susceptibility indices, 16 lines from among the recombinant inbred lines along with the Shotordandan parent were determined as tolerant genotypes.
Effects of Atorvastatin combined with Gefitinib on proliferation, metastatic and autophagy of Colorectal cancer cells
Authors: Sui Ziqi , Cheng Hefei , Yang Lianlei , Zhou Minjian , Wu Kejia , Shi Ruiping , Wang Shuqiu 
Published: September 2023

Abstract
Background: : Colorectal cancer is one of the common malignant tumors with high incidence. At present, compared with traditional chemotherapy drugs with large adverse reactions and new drugs that are difficult to develop, reusing existing drugs and finding new applications has become a major new research direction in cancer treatment.
Methods:CCK8 method was used to detect the change of the inhibitory proliferation activity of Atorvastatin, Gefitinib and their combination on SW480 and HCT116 cells, the invasive activity of SW480 and HCT116 cells was detected by Transwell assay, the expression of autophagy signal pathway related proteins in SW480 cells was detected by Western blotting, and the effect of Atorvastatin, Gefitinib and their combination on tumor formation in mice was detected by in vivo xenograft.
Results: Atorvastatin and Gefitinib inhibit the proliferation and metastasis of colorectal cancer cells. They can promote the autophagy of colorectal cancer cells by affecting autophagy-related proteins. The combined inhibitory effect of both drugs is enhanced compared to a single drug. In vivo tumorigenesis experiments also support these results.
Conclusions:The combined of atorvastatin and gefitinib can inhibit the proliferation and metastasis of colorectal cancer cancer cells by promoting autophagy. Its mechanism of action is the synergistic inhibition of autophagy-related signaling pathways. It provides new research ideas for the treatment of cancer.
A Lightweight and Efficient Raw Data Collection Scheme for IoT Systems
Authors: Huang Yixuan , Song Jingcheng , Meng Weizhi , Liu Yining , Zhou Fei 
Published: September 2023

Abstract
With the prevalence of Internet of Things (IoT) devices, data collection has the potential to improve people's lives and create a significant value. However, it also exposes sensitive information, which leads to privacy risks. An approach called N-source anonymity has been used for privacy preservation in raw data collection, but most of the existing schemes do not have a balanced efficiency and robustness. In this work, we propose a new secure arrangement scheme for a lightweight and efficient raw data collection process. The proposed scheme can not only collect data from the original users but also protect their privacy. Besides, the proposed scheme can resist user poisoning attacks, and the use of the reward method can motivate users to actively provide data. Analysis and simulation indicate that the proposed scheme is safe from resist poison attacks. Additionally, the proposed scheme has better performance in terms of computation and communication overhead compared to recent methods. High efficiency and appropriate incentive mechanisms indicate that the scheme is practical for IoT systems.
Simulation Design of Compensation Technique in FSO Communication System for PSK and ASK Modulation using Phase Shift and Filter of Delay under Atmospheric Turbulences
Authors: Gazzi Esraa k. Al – , Ali Ekbal H. Ali , Mohammed Assel J. 
Published: September 2023

Abstract
It's essential to communicate quickly. Recent issues include increased data consumption and a crowded radio frequency spectrum, where free-space optical communication (FSOC) has changed the way people share information in a big way. In place of wired communication systems, it makes it possible to transport voice, video, and data effectively through a medium like air. FSOC on greatly impacts our daily lives because of its large bandwidth and variety of applications. High speed, cost savings, small buildings, low power consumption, energy economy, maximum transfer capacity, and adaptability are some of the main advantages of FSOC. Repair downtime can be reduced because of the quick advancement of high-speed connection technology. It is also now possible to quickly establish a backup network in an emergency and crisis. The design of FSO systems for two types of digital modulation techniques is the primary focus of this work. By adjusting attenuation ranges for a variety of atmospheric turbulence, such as rain, fog, and dust, the performance of PSK and ASK modulations in the FSO system is investigated to get an improved Q-factor, maximum SNR, and power received, which are needed for better communication. PSK has been shown to be an efficient modulation approach for all types of weather, followed by ASK.
On the Interpretation of Large Datasets by a New Method of Regression Analysis Based on Reverse Discretization
Authors: Fafitis Apostolos 
Published: September 2023

Abstract
The discrete data points of a Dataset are replaced by continuous functions. These functions have finite derivatives and their integration from minus to plus infinity is equal to unity. The employment of these functions renders the Sum-Square-Error (SSE) a continuous function of x and y. The optimization of this SSE yields a Regression Line called in this article Dynamic Regression Line. The proposed algorithm yields a regression line that does not simply indicate the trend but also provides an interpretation of the data by revealing the underline law that generated them. In two examples given in this article the data points are distributed randomly around the segments of a broken line, which was the generating law. Only the x and y coordinates and the intensity of the information carried by each point were used in the Analysis. The regression line obtained by this method revealed, with acceptable accuracy, the line that generated the data points. It is suggested that the interpretive potential of this method can have applications in several disciplines like Engineering, Statistics, Artificial Intelligence, Economics, Marketing, Polling, and others.
A Comparison Study of M-CuBTC MOFs (M: Fe, Zr) for Electrochemical Detection of Glyphosate
Authors: Anh Nguyen Thi Ngoc , Nguyen Manh B. , Hoat Dinh Trong , Tu Vu Cam , Yen Pham Thi Hai , Phong Pham Hong , Tien Nguyen Ngoc , Hai Tran Quang , Thuong Nguyen Thi Kim , Ha Vu Thi Thu 
Published: September 2023

Abstract
In this study, hierarchically CuBTC, Fe-CuBTC and Zr-CuBTC MOFs for investigation of non-electroactive glyphosate compound (Gly) has been tested towards the best material for its detection by electrochemical sensors. The novel metallic/bimetallic Fe-Cu/Zr-Cu metal-organic framework (MOF) combined with 1,3,5-benzenetricarboxylic acid (BTC) are synthesized using hydrothermal reaction and used as modifiers. These MOFs were separately dropcasted on a glassy carbon electrode and non-electroactive Gly signals in the water environment were tested by cyclic voltammetry (CV), impedance measurement (EIS), and differential pulse voltammetry (DPV). Gly presences in water were recognized by the differences of currents in spiked and non-spiked Gly samples. Data showed the bimetallic Zr-CuBTC MOF is the most promising material for the detection of Gly using an electrochemical sensor. Morphological and structural studies showed the coordination of Cu2+ with the presence of Zr4+ ions with BTC ligands being highly porous framework with active surface area up to 1337 m2 g− 1, the pore diameter and pore volume increased to 1.75 nm and 0.687 cm3 g− 1, respectively. Under optimal conditions, the Zr-CuBTC/GCE sensor is able to indirectly detect Gly in a water environment at a detection limit as low as 9.10− 12 M. The developed sensor was employed to determine Gly in the real surface water samples collected from the Red River, North Vietnam. The results showed good recoveries (94.6–107.1%) which were in agreement with data obtained by liquid chromatography coupled tandem mass spectrometry (LC-MS/MS) measurements. These results demonstrate the possibility of using such MOF material in sensor applications for accessing the residues of trace pesticides contaminated in the natural water environment.
Assessment of Fluttering Derivatives of Bridge Deck Using CFD Simulation
Authors: Chauhan Nitin , Roy Amrit Kumar , Yadav Himanshu 
Published: September 2023

Abstract

In this paper, the dynamic analysis of wind effects on the bridge deck section is determined with the help of CFD simulation. As the wind tunnel testing approach is high-priced and time-consuming, there is a need for an alternative approach. The investigation on the bridge deck is carried out using ANSYS software. In this bridge deck design, with the help of numerical models like Fluid-Structure Interaction (FSI) to find flutter derivatives of the piece of the bridge deck. The forces, moments, and coefficients are calculated using different wind speeds. For this steady and unsteady procedures have been taken. For calculations of mean force coefficients, the K-ω SST turbulence models are taken into consideration. The bridge deck section’s flutter derivatives require spatial histories, stable simulations, and static aerodynamic coefficients. With the help of ICEM CFD, the meshing of the deck is carried out. In this, the dynamic behavior of wind all over the section of the bridge deck is investigated with different wind speeds.
Overexpression of NtERF5, belonging to the ethylene response factor gene family, inhibits potato virus X infection and enhances expression of jasmonic acid/ethylene signaling marker genes in tobacco
Authors: Suzuki Hiyori , Ito Tomoki , Ogata Takuya , Tsukahara Yuki , Nelson Richard S. , Sasaki Nobumitsu , MATSUSHITA Yasuhiko 
Published: September 2023

Abstract
Transcription factors belonging to the family of ethylene response factors (ERFs) in plants function in disease resistance to pathogens. One of the tobacco ERF genes, NtERF5, inhibits the accumulation of tobacco mosaic virus (genus Tobamovirus) when overexpressed in tobacco carrying the resistance gene N. Here, we report that NtERF5 can function as a transcriptional activator through binding of the GCC-box in planta. We then determined whether overexpression of NtERF5 in tobacco lacking the N gene (nn tobacco) inhibited infection by potato virus X (PVX: genus Potexvirus). Transient overexpression of NtERF5 inhibited the accumulation of PVX without affecting virus spread and increased the transcript levels of NtPRB-1b and NtPR6, which are jasmonic acid/ethylene-signaling marker genes encoding pathogenesis-related (PR) proteins. Stable overexpression of NtERF5 in nn tobacco also resulted in decreased PVX accumulation and the induction of the expression of NtPRB-1b and NtPR6. Our results revealed that overexpression of NtERF5 limited successful infection and accumulation of PVX and correlated with increased transcript levels of NtPRB-1b and NtPR6, suggesting the role of NtERF5 as a positive regulator of basal defense against virus infection.