bluuebunny/crossref_metadata_2025_split huggingface dataset:
Eating habits, sleep quality, and lifestyle changes during the COVID-19 crisis: a national survey from Palestine
Authors: Koni Amer A. , Hasan Israa , Nazzal Maisa A. , Haj Siwar , Joma Hamza K. , Abushanab Amani S. , Zyoud Sa’ed H. 
Published: April 2024

Abstract
Background
The COVID-19 pandemic and the consequences of safety measures, such as lockdowns, have impacted not only the physical health of individuals but also their lifestyle, psychosocial health, and mental health. In this analysis, we aimed to explore the effect of the COVID-19 pandemic on lifestyle, eating habits, and sleep quality in the Palestinian population. Furthermore, the current study aimed to determine the factors associated with poor sleep.

Methods
The study was carried out between November 2021 and February 2022 after a long lockdown. We adopted a cross-sectional design to achieve the objectives of this study. The questionnaire included information on sociodemographic characteristics and other characteristics. In addition, questions related to lifestyle changes and items related to changes in the consumption of certain types of food were included. Furthermore, in the present study, two scales were used to assess sleep quality: the Epworth Sleepiness Scale (ESS) and the Pittsburgh Sleep Quality Index (PSQI).

Results
A total of 978 participants were included in this study; 508 (51.9%) were women, and 465 (47.5%) were aged between 17 and 30 years. 41% of the participants added one meal or more, and almost 43% skipped one meal or more. A total of 39.2% believed that their habits worsened as a result of the COVID-19 pandemic. A significant portion of the population increased their vitamin intake by 62.5%. In general, nuts, fast food, fried food, coffee, snacks, cans, and homemade baked foods were consumed at higher rates overall. The median ESS score, which measures general levels of daytime drowsiness, was 20.00 (18.00–22.00). Residency (p = 0.008), living status (p < 0.001), salary (p < 0.001), education level (p = 0.002), job status (p = 0.015), and vitamin intake (p < 0.001) were significantly associated with the ESS score. The PSQI score, which evaluates adult sleep patterns and quality, has a median value of 5.00. (4.00–7.00). Living status (p < 0.001), salary (p = 0.006), job status (p = 0.002), smoking status (p = 0.030), chronic diseases (p = 0.002), and vitamin use (p < 0.001) were significantly associated with the PSQI score. Only taking multivitamins was a predictor of having a lower score on both the ESS (p = 0.001) and PSQI (p < 0.001).

Conclusions
Our findings clearly showed that the COVID-19 pandemic has substantially affected the Palestinian population in different aspects of life. We recommend that health authorities and healthcare providers continually share knowledge and awareness about good eating habits, sleep quality, and other aspects of lifestyles.
Examining situational interest and its relationship with self-efficacy in asynchronous and synchronous video lectures
Authors: Lange Christopher 
Published: April 2024

AbstractRecently, the number of online courses provided for university students around the world has increased substantially. Instruction is delivered most commonly through either asynchronous video lectures (pre-recorded videos with no real-time communication) or synchronous video lectures (live-streamed videos with real-time communication). From a learning perspective, it is important to capture the interest of learners based on specific situational aspects of both asynchronous and synchronous video lectures, and situational interest of learners may vary depending on the overall intrinsic qualities of each modality. Additionally, there may be variations in regards to the way in which self-efficacy interacts with situational interest depending on which modality is used. This study examines survey responses of university students (n = 93) in South Korea to determine if students perceive differences in situational interest between two different conditions: asynchronous video lectures and synchronous video lectures. Additionally, the difference between situational interest levels of learners with low self-efficacy and learners with high self-efficacy within each condition was examined. The main results showed no overall difference in situational interest between the two conditions and no difference in situational interest between learners with low self-efficacy and learners with high self-efficacy in the synchronous video lecture condition. However, there was a significant difference in situational interest found between learners with low self-efficacy and learners with high self-efficacy in the asynchronous video lecture condition. Results are explained through the differing effects of self-efficacy on situational interest based on the amount of autonomy provided in online learning environments.
CEM immediately after contrast-enhanced CT: a one-step staging of breast cancer
Authors: Ancona Antonietta , Telegrafo Michele , Fella Rita Roberta , Iamele Donato , Cantore Sebastiano , Moschetta Marco 
Published: April 2024

Abstract
Background
Contrast-enhanced mammography (CEM) is a promising technique. We evaluated the diagnostic potential of CEM performed immediately after contrast-enhanced computed tomography (CE-CT).

Methods
Fifty patients with breast cancer underwent first CE-CT and then CEM without additional contrast material injection. Two independent radiologists evaluated CEM images. The sensitivity of CEM for detecting index and additional malignant lesions was compared with that of mammography/ultrasonography by the McNemar test, using histopathology as a reference standard. Interobserver agreement for detection of malignant lesions, for classifying index tumors, and for evaluating index tumor size and extent was assessed using Cohen κ. Pearson correlation was used for correlating index tumor size/extent at CEM or mammography/ultrasonography with histopathology.

Results
Of the 50 patients, 30 (60%) had unifocal disease while 20 (40%) had multicentric or multifocal disease; 5 of 20 patients with multicentric disease (25%) had bilateral involvement, for a total of 78 malignant lesions, including 72 (92%) invasive ductal and 6 (8%) invasive lobular carcinomas. Sensitivity was 63/78 (81%, 95% confidence interval 70.27–88.82) for unenhanced breast imaging and 78/78 (100%, 95.38–100) for CEM (p < 0.001). The interobserver agreement for overall detection of malignant lesions, for classifying index tumor, and for evaluating index tumor size/extent were 0.94, 0.95, and 0.86 κ, respectively. For index tumor size/extent, correlation coefficients as compared with histological specimens were 0.50 for mammography/ultrasonography and 0.75 for CEM (p ≤ 0.010).

Conclusions
CEM acquired immediately after CE-CT without injection of additional contrast material showed a good performance for local staging of breast cancer.

Relevance statement
When the CEM suite is near to the CE-CT acquisition room, CEM acquired immediately after, without injection of additional contrast material, could represent a way for local staging of breast cancer to be explored in larger prospective studies.

Key points
• CEM represents a new accurate tool in the field of breast imaging.
• An intravenous injection of iodine-based contrast material is required for breast gland evaluation.
• CEM after CE-CT could provide a one-stop tool for breast cancer staging.

Graphical Abstract
The potential of microRNAs in cancer diagnostic and therapeutic strategies: a narrative review
Authors: Quang Minh Trong , Nguyen Minh Nam 
Published: April 2024

Abstract
Background
microRNAs (miRNAs/miRs) are endogenous non-coding RNAs that post-transcriptionally regulate gene expression. Altered miRNA expression promotes oncogenesis by changing the expression of genes involved in key biological pathways in many human cancers. Accumulating evidence reveals that miRNAs have immense potential as diagnostic and prognostic cancer biomarkers based on their capacity to function as oncogenes or tumor suppressors. In addition, translating miRNA-directed therapies from the bench to bedside holds great promise as an innovative therapeutic strategy, contributing to advanced personalized cancer treatment.

Main body
This narrative review synthesizes current knowledge on (1) miRNA intracellular and extracellular dynamics enabling gene regulation; (2) technologies for miRNA quantification; (3) validation of miRNA diagnostic/prognostic panels; (4) progress and challenges in developing miRNA-directed cancer therapies, and updates on miRNA clinical trials for cancer monitoring and treatment. Key discoveries and research gaps across these areas are discussed.

Conclusions
Cumulative research has established a fundamental understanding of miRNA biology and its correlations with cancer diagnostics and therapy strategies, supporting clinical translational potential. However, complexities within miRNA regulatory networks and methodological inconsistencies necessitate ongoing investigations. Achieving breakthroughs in measurement standardization, biomarker validation, and the development of targeted therapeutic interventions harnessing these post-transcriptional regulators remains crucial for improving cancer diagnosis and treatment.
Enhancing electrical characteristics and electromagnetic interference shielding effectiveness in thermoplastic elastomeric polymer blends by utilizing the selective distribution of conductive black
Authors: Choudhury Sreeja Nath , Nayak Jasomati , Das Palash , Pal Aparajita , Katheria Ankur , Banerji Pallab , Das Narayan Ch. 
Published: April 2024

AbstractThe selective distribution of filler within polymer blends presents a compelling advantage, notably manifesting as a reduced percolation threshold when compared to an individual polymer matrix with a random filler dispersion. In this context, a thermoplastic elastomeric (TPE) blend comprising ethylene propylene diene rubber (EPDM) and linear low-density polyethylene (LLDPE), denoted as EL, has been meticulously formulated. The incorporation of varying amounts of conductive carbon black (Vulcan XC 72; VCB) into this TPE matrix has been achieved through conventional melt blending, yielding a composite material with exceptional electromagnetic interference (EMI) shielding effectiveness of -27.80 dB at 50 phr (parts per hundred rubber). This success is credited to the creation of a linked structure resulting from a dual-step percolation process. The selective distribution of carbon black (CB) throughout the TPE mixture results in a decreased critical concentration for connectivity and enhanced electromagnetic interference (EMI) shielding performance. This advancement underscores the potential of EPDM-LLDPE-VCB (ELV) composites to safeguard against electromagnetic radiation. It paves the way for their utilization in various techno-commercial applications, where a balance of mechanical strength, thermal stability, and flexibility is crucial.
Graphical Abstract
A novel hybrid model for bridge dynamic early warning using LSTM-EM-GMM
Authors: Li Shuangjiang , Xin Jingzhou , Jiang Yan , Yang Changxi , Wang Xiaochen , Ran Bingchuan 
Published: April 2024

AbstractEarly warning of existing bridges is now predominated by deterministic methods. However, these methods face challenges in expressing uncertain factors (such as wind load, temperature load, and other variables, etc.). These problems directly impact the timeliness and accuracy of bridge early warning. This study develops an innovative method for bridge dynamic early warning with high versatility and accuracy. Long short-term memory network model (LSTM), expectation maximization (EM) and Gaussian mixture model (GMM) were employed in the proposed method. Firstly, the LSTM model is used to predict the measured monitoring data (such as deflection, strain, cable force, etc.) in real time to obtain the predicted results. Next, the number of clusters for the EM-GMM model is determined using the Calinski-Harabasz (CH) index. The method aims to comprehensively consider the internal cohesion of the clustering, ensuring accurate and reliable clustering results. Then, the EM-GMM model is used to cluster the random influence error and the predicted value, which can get the probabilistic prediction result of each corresponding random influence error. On this basis, the dynamic early warning interval under 95% confidence level is constructed. This facilitates early warning and decision-making for potential structural abnormalities. Finally, the accuracy and practicability of the method are verified by the comparison of engineering applications and existing specifications. The results demonstrate that the probabilistic early warning method considering the uncertain factors in the complex service environment can accurately achieve the dynamic early warning of bridges.
Enhancing unconfined compressive strength of stabilized soil with lime and cement prediction through a robust hybrid machine learning approach utilizing Naive Bayes Algorithm
Authors: Wan Weiqing 
Published: April 2024

AbstractThe unconfined compressive strength (UCS) of stabilized soil with lime and cement is a crucial mechanical factor in developing accurate geomechanical models. In the past, determining UCS required laborious laboratory testing of core samples or complex well-log analysis, both of which consumed many resources. This study introduces a novel method for real-time UCS prediction while acknowledging the need for efficiency. This method makes use of Specific Naive Bayes (NB) predictive models that are strengthened by the smell agent optimization (SAO) and the Dynamic Arithmetic Optimization Algorithm (DAOA), two reliable meta-heuristic algorithms. Combining these algorithms improves prediction precision while streamlining the process. By examining UCS samples from various soil types obtained from earlier stabilization tests, these models are validated. This study identifies three different models: NBDA, NBSA, and a single NB. The individual insights each model provides work in concert to increase the overall UCS prediction accuracy. This approach represents a significant advancement in UCS prediction methodologies, revealing a quick and effective method with wide-ranging implications for various geomechanical applications. Meta-heuristic algorithms combined with particular NB models produce promising results, opening up new possibilities for real-time UCS estimation across various geological scenarios. Especially noteworthy are the NBDA model’s impressive performance metrics. The entire dataset achieves an R2 value of 0.992 during testing. The RMSE of 108.69 for the NBDA model during the training phase also shows that it has the best performance overall. It consistently exhibits commendable generalization and predictive abilities that outperform those of the developed NB and NBSA models, highlighting its usefulness and effectiveness in practical applications.
Joint inversion of direct waves, primaries, and multiples for vertical cable seismic data
Authors: Lin Yuzhao , Liu Huaishan , Xing Lei , Wang Linfei , Zhang Jin , Yin Yanxin , Sun Jian 
Published: April 2024

By anchoring vertical cable in seawater and receiving the data excited by the towing cable seismic source, the reflection data from subsurface structures with a high signal-to-noise ratio, wide frequency band, and wide azimuth angle can be obtained, thereby achieving high-quality imaging of the target area. However, due to drifting receivers driven by ocean currents and the nonuniform coverage caused by the vertical orientation of the receivers, the traditional imaging method cannot be directly used in the vertical cable seismic data. Furthermore, crosstalk between the primaries and multiples commonly contaminates the final imaging. A new inversion method, based on the Bayesian inference and the assumption that all errors are Gaussian distributed, is presented to address these problems. The direct waves are used to invert the source/receiver locations. The primary and multiple wavefields are accurately reconstructed based on the reconstructed direct wavefield, and the corresponding reflectivity updates are obtained. The model-domain Hessian matrices consisting of different data are approximated by their diagonal elements to mitigate the nonuniform coverage issue, and the related covariance matrices and data-domain Hessian matrices are defined and approximated, respectively, to alleviate the calculation problem. In addition, the zero-lag correlated wavefields in the gradient are consistent with the actual wavefield propagation process, e.g., a primary wave is generated when the direct wavefield encounters reflectivity, avoiding the crosstalk. Numerical examples for synthetic models and field data illustrate that our method can accurately recover the source/receiver locations and provide high-resolution balanced-amplitude imaging results without evident crosstalk.
Breast Adiposity: Menopausal Status Impact and its Influence on Glycemic and Anthropometric Metabolic Parameters
Authors: Limberger Nedel Barbara , Garcia Madure Michelle , Guaresi Silvia , Soares Machado Maria Elisa , Madrid de Bittencourt Marcelo , Nobrega Chagas Nathalia , Gerchman Fernando 
Published: April 2024

Abstract

Context
Ectopic fat depots are related to the deregulation of energy homeostasis, leading to diseases related to obesity and metabolic syndrome (MetS). Despite significant changes in body composition over women's lifespans, little is known about the role of breast adipose tissue (BrAT) and its possible utilization as an ectopic fat depot in women of different menopausal statuses.

Objective
We aimed to assess the relationship between BrAT and metabolic glycemic and lipid profiles and body composition parameters in adult women.

Methods
In this cross-sectional study, we enrolled adult women undergoing routine mammograms and performed history and physical examination, body composition assessment, semi-automated assessment of breast adiposity (BA) from mammograms, and fasting blood collection for biochemical analysis. Correlations and multivariate regression analysis were used to examine associations of BA with metabolic and body composition parameters.

Results
Of the 101 participants included in the final analysis, 76.2% were in menopause, and 23.8% were in premenopause. The BA was positively related with fasting plasma glucose, glycated hemoglobin, homeostasis model assessment of insulin resistance, body mass index, waist circumference, body fat percentage, and abdominal visceral and subcutaneous fat when adjusted for age among women in postmenopause. Also, the BA was an independent predictor of hyperglycemia and MetS. These associations were not present among women in premenopause.

Conclusion
The BA was related to different adverse body composition and metabolic factors in women in postmenopause. The results suggest that there might be a relevant BrAT endocrine role during menopause, with mechanisms yet to be clarified, thus opening up research perspectives on the subject and potential clinical implications.
Surgical Anatomy of the Retrosigmoid Approach With Transtentorial Extension: Protecting the 4th Cranial Nerve
Authors: Nizzola Mariagrazia , Pompeo Edoardo , Torregrossa Fabio , Leonel Luciano César P. C. , Mortini Pietro , Link Michael J. , Peris-Celda Maria 
Published: April 2024

BACKGROUND AND OBJECTIVES:
The retrosigmoid approach with transtentorial extension (RTA) allows us to address posterior cranial fossa pathologies that extend through the tentorium into the supratentorial space. Incision of the tentorium cerebelli is challenging, especially for the risk of injury of the cranial nerve (CN) IV. We describe a tentorial incision technique and relevant anatomic landmarks.

METHODS:
The RTA was performed stepwise on 5 formalin-fixed (10 sides), latex-injected cadaver heads. The porus trigeminus's midpoint, the lateral border of the suprameatal tubercle (SMT)'s base, and cerebellopontine fissure were assessed as anatomic landmarks for the CN IV tentorial entry point, and relative measurements were collected. A clinical case was presented.

RESULTS:
The tentorial opening was described in 4 different incisions. The first is curved and starts in the posterior aspect of the tentorium. It has 2 limbs: a medial one directed toward the tentorium's free edge and a lateral one that extends toward the superior petrosal sinus (SPS). The second incision turns inferiorly, medially, and parallel to the SPS down to the SMT. At that level, the second incision turns perpendicular toward the tentorium's free edge and ends 1 cm from it. The third incision proceeds posteriorly, parallel to the free edge. At the cerebellopontine fissure, the incision can turn toward and cut the tentorium-free edge (fourth incision). On average, the CN IV tentorial entry point was 12.7 mm anterior to the SMT base's lateral border and 20.2 mm anterior to the cerebellopontine fissure. It was located approximately in the same coronal plane as the porus trigeminus's midpoint, on average 1.9 mm anterior.

CONCLUSION:
The SMT and the cerebellopontine fissure are consistently located posterior to the CN IV tentorial entry point. They can be used as surgical landmarks for RTA, reducing the risk of injury to the CN IV.
Case Article—Prescriptive Analytics for Entrepreneurial Growth: Data-Driven Strategic Decision Making at iParty Bangkok Co., Ltd.
Authors: Li Dong (Michelle) , Pachamanova Dessislava , Siricharoensang Phattharanan 
Published: April 2024

This case centers around the dilemma faced by the female owner of a balloon decoration business: whether to outsource transportation of balloon arrangements to third-party providers or handle the transportation of some orders in house. The case illustrates a path to answering the strategic business question through solving a sequence of vehicle routing problems (VRPs) of increasing complexity. The focus of the case is not only on solving VRPs, but also on teaching a practical framework for (1) framing a business problem as a prescriptive analytics problem; (2) researching appropriate concepts, prior publications, and tools; (3) setting up an optimization problem formulation, estimating the necessary inputs, and obtaining a solution; (4) deciding on the appropriate level of formulation complexity needed; and (5) mapping the results from the models to a response to the original business question. Realistic data and Excel models and are provided. The case is appropriate for use in courses in optimization, operations research, and business analytics at either the advanced undergraduate or master’s/MBA level. Supplemental Material: The Teaching Note and supplemental data are available at https://www.informs.org/Publications/Subscribe/Access-Restricted-Materials .
Hybird Autokey Cipher Algorithm Implementation Reverse Key and Standard Data Encryption for App-Based Text Messages
Authors: Lazuardi Risandio Ilham , Anwar Nuril 
Published: April 2024

The development of the internet facilitates public communication in sharing information. Along with the advancement of technology in the communication segment, there were various threats to it. Many applications had sophisticated security systems, but the actions in exploiting these security systems were also increasingly diverse. This study implemented a combination of classic and modern algorithms, namely autokey cipher reverse key and DES to protect data from these crimes. This research develops encryption and decryption applications using the agile method, the technique used because of the time spent on the built progress of applications with a cycle for the development process. With this cycle utilized, the method was suitable for developing applications in the short term and revising or improving applications in each cycle. The research resulted in security applications having the function of helping people secure data so that they could prevent and complicate digital criminal acts.