bluuebunny/crossref_metadata_2025_split huggingface dataset:
Postoperative abdominopelvic adhesion and umbilical wound validation after single-port laparoscopy or two-port laparoscopy for gynecological surgery: A comparison with conventional laparoscopy
Authors: Yi Sang Wook 
Published: March 2024

Abstract

Purpose
The emergence of minimally invasive surgery has led to the development of laparoscopic surgery to reduce the number of ports. Although the incision for the umbilical port is sufficiently large, thus reducing the number of ports used during laparoscopic surgery, postoperative complications involving incisions at port sites have been reported. Thus, we analyzed postoperative intraperitoneal outcomes after laparoscopy using operation records and photographs of consecutive surgeries.
Methods
A total of 134 patients were enrolled in the clinical study to analyze their intraperitoneal outcomes. The patients were divided into groups, which were compared and analyzed based on the number of ports used intraoperatively. The clinical characteristics of the patients were obtained from their medical records, and their operation records, including those of their consecutive operations, were analyzed.
Results
Patients who underwent single-port laparoscopy were included in Group 1, patients who underwent two-port laparoscopy were included in Group 2, and patients who underwent three-port laparoscopy or four-port laparoscopy were included in Group 3. Correlation analysis of the number of ports used during surgery revealed that the white blood cell count before and after surgery and the intraperitoneal umbilical adhesion score were negatively correlated. The incidence of intraperitoneal umbilical adhesions increased as the number of ports used during laparoscopy decreased.
Conclusions
Because the incidence of postoperative intraperitoneal umbilical adhesion increases as the size of the umbilical wound increases, such as after single-port laparoscopy, surgical umbilical wounds should be cautiously repaired after single-port laparoscopic surgery.
Continuous Mapping of Forest Canopy Height using ICESat-2 Data and a Weighted Kernel Integration of Multi-Temporal Multi-Source Remote Sensing Data aided by Google Earth Engine
Authors: Mansouri Jalal , Jafari Mohsen , Dehkordi Alireza Taheri 
Published: March 2024

Abstract

Forest Canopy Height (FCH) is a crucial parameter that offers valuable insights into forest structure. Spaceborne LiDAR missions provide accurate FCH measurements, but a major challenge is their point-based measurements lacking spatial continuity. This study integrated ICESat-2's ATL08-derived FCH values with multi-temporal and multi-source Remote Sensing (RS) datasets to generate continuous FCH maps for northern forests in Iran. Sentinel-1/2, ALOS-2 PALSAR-2, and FABDEM datasets were prepared in Google Earth Engine (GEE) for FCH mapping, each possessing unique spatial and geometrical characteristics that differ from those of the ATL08 product. Given the importance of accurately representing the geometrical characteristics of the ATL08 segments in modeling FCH, a novel Weighted Kernel (WK) approach was proposed in this paper. The WK approach could better represent the RS datasets within the ATL08 ground segments compared to other commonly used resampling approaches. The correlation between all RS data features improved by approximately 6% compared to previously employed approaches, indicating that the RS data features derived after convolving the WK approach are more predictive of FCH values. Furthermore, the WK approach demonstrated superior performance among machine learning models, with Random Forests outperforming other models, achieving an R2 of 0.71, RMSE of 4.92 m, and MAPE of 29.95%. Furthermore, in contrast to previous studies using only summer datasets, this study included spring and autumn data from S1/2, resulting in a 6% increase in R2 and a 0.5 m decrease in RMSE. The proposed methodology succeeded in filling the research gaps and improved the accuracy of FCH estimations.
Criteria for oscillation of noncanonical superlinear half-linear dynamic equations
Authors: Hassan Taher S. , Cesarano Clemente , Mesmouli Mouataz Billah , Madani Y. A. , Menaem Amir Abdel , Glalah Belal A. , Tchalla Ayékotan M. J. 
Published: March 2024

Abstract

This article comes up with criteria to make sure that the solutions to superlinear, half-linear, and noncanonical dynamic equations oscillate in both advanced and delayed cases; these criteria are comparable to the Hille-type and Ohriska-type criteria for the canonical nonlinear dynamic equations; and also these results solve an open problem in many existing works in the literature on dynamic equations. To demonstrate the importance of the results, some examples have been introduced.
A recent history of disease outbreaks in Kenya, 2007-2022: Findings from routine surveillance data
Authors: Geteri Farida , Dawa Jeanette , Gachohi John , Kadivane Samuel , Okunga Emmanuel 
Published: March 2024

Abstract

Background
Africa reports the highest number of outbreaks in the world, accounting for 39% of all outbreaks in 2022. The Integrated Disease Surveillance and Response strategy in Kenya ensures the reporting of outbreaks at the national level. We present a summary of the burden of reported disease outbreaks in Kenya, 2007–2022.
Methods
We reviewed historical surveillance data, 2007–2022. We summarized the annual caseload and deaths of the reported outbreaks per county. We classified the outbreaks into 3 categories i.e., high, moderate, and low burden. We conducted the Mann-Kendall test to detect trends in the number of outbreaks and counties reporting over time.
Results
Twenty-three outbreaks were reported. COVID-19, cholera, epidemic malaria, leishmaniasis, and measles were associated with high disease burden. The highest number of outbreaks reported in a single year was 10. Garissa, Nairobi, Nakuru, Wajir, Mandera, and Mombasa, had the majority of the outbreaks and caseload.
Conclusion
There was an increase in the frequency and magnitude of outbreaks. This highlights the complex public health landscape and the vulnerability of the country to epidemics. The differences in outbreak occurrence among counties necessitate targeted and enhanced preventive, preparedness, and response interventions at the sub-national level to reduce the burden of outbreaks.
The Influence of Chinese Typography on information dissemination in Graphic Design: Based on Eye-tracking Data
Authors: Chen Weilong , Yang Jiqiang , Wang Yiluo 
Published: March 2024

Abstract

The arrangement of Chinese characters has a significant impact on the visual effect and information dissemination in graphic design. In traditional Chinese layout, vertical arrangement of characters is predominant, but in recent times, there has been a gradual transition towards horizontal arrangement. To compare the influence of different character arrangement forms on visual meaning generation and information dissemination,This study employed an eye-tracking experiment to investigate two common Chinese character layouts in posters–horizontal and vertical, and collected data such as eye-tracking heatmap, pupil diameter and eye-tracking trajectory map. Based on objective eye-tracking data, combined with post-test interviews and questionnaire surveys, it was found that vertical character arrangement in Chinese typography is more effective in attracting visual attention and facilitating the expression and stimulating interest in viewing/reading under the premise of meeting formal requirements, which may provide guidance and inspiration for the practical application of Chinese characters in layout design, advertising design, packaging design, exhibition design, UI design, and other related fields.
Clinical Features of Noncompaction Cardiomyopathy Across All Age Strata
Authors: Zhou Ziqin , Qiu Min , Li Ying , Tian Miao , Tu Jiazichao , Han Linjiang , Zhang Ruyue , Zhou Shuheng , Li Xinming , Wen Shusheng , Chen Jimei 
Published: March 2024

Abstract

Background
Noncompaction cardiomyopathy (NCM) stands as a rare hereditary cardiac disorder intricately linked to adverse cardiovascular events, including heart failure, arrhythmia, and sudden cardiac death. Presently, the clinical features of NCM lack substantial support from extensive samples spanning diverse age groups. This study endeavors to systematically elucidate the clinical characteristics of NCM patients across various age demographics.
Methods
We retrospectively analyzed 415 patients diagnosed with NCM treated at the Guangdong Institute of Cardiovascular Disease between January 2013 and January 2023. Comprehensive datasets, encompassing clinical information, arrhythmia characteristics, as well as echocardiography and cardiac magnetic resonance imaging (CMR) data, were meticulously collected for detailed investigation and analysis.
Results
We stratified a cohort of 415 patients into distinct age groups: 0–1 years old (169 patients), 1–18 years old (149 patients), and > 18 years old (97 patients). Heart failure emerged as the predominant symptom across the entire population, affecting 112 (27%) patients. Specifically, heart failure constituted the prevailing clinical manifestation in patients aged > 18 years (53 patients, 54.6%), while murmur was the most observed symptom in patients aged 0–1 years and 1–18 years (33 patients, 19.5%, and 26 patients, 17.4%, respectively). In all age groups, when compared to NCM patients devoid of valvular disease, those with mitral regurgitation (MR) exhibited significantly reduced left ventricular ejection fraction (LVEF) and left ventricular fractional shortening (FS) (p < 0.05). Additionally, left ventricular end-diastolic diameter (LVESD) and left ventricular end-systolic diameter (LVEDD) were significantly increased in NCM patients with MR (p < 0.05). Furthermore, there was a significant correlation between LVESD diameter and LVEDD diameter with MR area in NCM patients (p < 0.05).
Conclusion
Across all age strata, individuals with NCM and concomitant MR consistently manifested left ventricular (LV) dilatation and LV systolic function impairment. There were significant differences in clinical symptoms, arrhythmia, CHD and valvular heart disease among distinct age groups. Recognizing the paramount significance of age-related clinical characteristics is imperative for accurate diagnosis, effective treatment, and robust research initiatives concerning NCM patients.
Real-world outcomes in patients with Philadelphia chromosome-positive acute lymphoblastic leukemia or chronic myeloid leukemia treated with ponatinib – Final 6-year results from a Belgian registry
Authors: Devos Timothy , Deeren Dries , Theunissen Koen , Selleslag Dominik , Bailly Benjamin , Havelange Violaine , Lewalle Philippe , Meers Stef , Benghiat Fleur Samantha , Gadisseur Alain , Granacher Nikki , Eygen Koen Van , Vanstraelen Gaëtan , Vellemans Hélène , De Becker Ann , Janssen Mia , Vrelust Inge , Lejeune Marie , de Velde Ann Van , Triffet Agnès , Beck Michael , Sebti Hinde , Mazure Dominiek 
Published: March 2024

Abstract

Ponatinib is a third-generation tyrosine kinase inhibitor (TKI) for treatment of chronic myeloid leukemia (CML) and Philadelphia chromosome-positive (Ph+) acute lymphoblastic leukemia (ALL) in patients who fail or are intolerant to a second-generation TKI or who carry the T315I mutation. This is the final analysis of the Belgian ponatinib registry evaluating use of ponatinib in clinical practice, with data available for up to 6 years after reimbursement. Forty-eight percent of 54 CML and 28% of 29 Ph + ALL patients had received ≥ 3 previous TKIs. Before ponatinib, most patients had already achieved a response, including at least a major molecular response (MMR), in 19% of CML and 17% of Ph + ALL patients. Ponatinib was initiated due to intolerance to previous TKIs in 50% of CML and 41% of Ph + ALL patients. Median follow-up was 545 and 258 days for CML and Ph + ALL patients, respectively. Best response to ponatinib was at least an MMR in 65% of CML and 55% of Ph + ALL patients. Overall and progression-free survival were 85.8% and 83.8% in CML patients after 48 months of treatment, and 82.5% and 54.2% in Ph + ALL patients after 30 months of treatment. Adverse reactions were reported by 85% of CML and 76% of Ph + ALL patients, with 33% of CML and 24% of Ph + ALL patients experiencing cardiovascular events. In line with previously published trials, these real-world data support use of ponatinib in CML and Ph + ALL patients with resistance or intolerance to previous TKIs or carrying the T315I mutation. Clinicaltrials.gov identifier: NCT03678454; September 19, 2018
A Novel Levy Walk-based Framework for Scheduling Power-intensive Mobile Edge Computing Tasks
Authors: Younesi Abolfazl , Fazli Mohammad Amin , Ejlali Alireza 
Published: March 2024

Abstract

Mobile edge computing (MEC) enables computationally intensive tasks to be processed at the network edge to provide low-latency services. However, inefficient task scheduling can negatively impact performance metrics like completion time and energy consumption. This paper proposes CAPL-MEC, an adaptive task scheduling framework that utilizes Levy walk modeling to address mobility patterns in MEC. The system model generates random edge nodes within defined bounds to simulate heterogeneous environments. A power consumption model is also presented to optimize dynamic and static power. Device mobility follows an adaptive Levy walk distribution where the power law exponent is time-varying. Latency and reliability (task replication) models are also defined. The CAPL-MEC algorithm utilizes an adaptive Levy walk approach to predict device locations and schedule tasks accordingly. A hybrid task allocation strategy combines proximity awareness, mobile-centric execution, and handovers between mobile and edge devices. Simulations evaluate CAPL-MEC across met-rics like completion time, energy consumption, CPU and memory utilization, and wait times under various configurations. Results demonstrate that CAPL-MEC outperforms other algorithms by minimizing completion time through efficient resource allocation based on predicted mobility patterns. Energy consumption is also reduced through power-conscious scheduling. Overall, the framework presents an effective and adaptable solution for task scheduling in dynamic MEC environments.
In-vitro Assessment of PHELA and its Components in Modulating the Innate Immune Response against SARS-CoV-2
Authors: Litabe Matefo Millicent , Matsabisa Motlalepula , Burt Felicity Jane 
Published: March 2024

Abstract

Severe acute respiratory syndrome coronavirus (SARS-CoV) 2 induces severe illness, often characterized by an excessive release of proinflammatory cytokines, leading to a cytokine storm associated with disease severity. Traditional medicinal plants have been proposed as promising, cost-effective treatments for SARS-CoV-2. PHELA, a traditional medicine prepared from the extracts of four South African plants, has been proposed for use as an immune booster. This study evaluates the ability of PHELA and its constituents to regulate cytokine release and influence viral replication in SARS-CoV-2 Omicron-infected mammalian cells. Cells were treated with plant extracts before or after viral infection, measuring cytokine levels (IL-1β, IL-2Rα, IL-6, TNF-α, IFN-γ) and viral load at various intervals. No significant difference in viral load was observed between infected cells treated with plant extracts and untreated infected cells. However, PHELA-treated cells showed a delay in viral load increase. Infected cells treated with PHELA exhibited significantly lower levels of IL-1β, IL-2Rα, and TNF-α compared to untreated infected cells at 48 and 72 hours post-infection. Post-treatment was more effective in reducing proinflammatory cytokine production than pre-treatment, highlighting the potential of PHELA and its constituents in modulating cytokine responses during SARS-CoV-2 infection.
Exploring the Relationship between Gut Microbiota and Breast Cancer Risk in European and East Asian Populations Using Mendelian Randomization
Authors: Lin Wei , Gu Chenghao , Chen Zheyin , Xue Shihang , Zeng Liuhai , Wu Haiyan 
Published: March 2024

Abstract

Background: Several studies have explored the potential link between gut microbiota and breast cancer; nevertheless, the causal relationship between gut microbiota and breast cancer remains unclear. This study investigated the causal relationship between gut microbiota and breast cancer in European and East Asian populations using a Mendelian Randomization (MR) analysis approach.
Methods: We utilized summary statistics from genome-wide association studies (GWAS) of the gut microbiome from the MiBioGen project with summary data from GWAS on breast cancer from the FinnGen consortium and the IEU database. Preliminary statistical analyses were conducted using inverse variance weighting, supplemented by various sensitivity analysis methods, including MR-Egger regression, weighted median, weighted mode, simple median, and simple mode, to ensure the robustness of our findings. Heterogeneity and pleiotropy were assessed to avoid misleading conclusions caused by unconsidered confounders or non-specific effects of genetic variants, ensuring that the results reflect a genuine causal relationship.
Results: In European populations, four types of gut microbiota were associated with breast cancer. The genus Erysipelatoclostridium was positively associated with the risk of breast cancer, with an odds ratio (OR) of 1.21 (95% confidence interval [CI] 1.083–1.358), false discovery rate (FDR) = 0.0039. The class Coriobacteriia, order Coriobacteriales, and family Coriobacteriaceae, which belong to the same phylogenetic system, showed a consistent negative association with breast cancer risk, with an OR of 0.757 (95% CI 0.616–0.930), FDR = 0.0281. In East Asian populations, three types of gut microbiota were related to breast cancer. The Eubacterium ruminantium group was positively associated with breast cancer risk, with an OR of 1.259 (95% CI 1.056–1.499), FDR = 0.0497. The families Porphyromonadaceae and Ruminococcaceae were negatively associated with breast cancer risk, with ORs of 0.304 (95% CI 0.155–0.596), FDR = 0.0005, and 0.674 (95% CI 0.508–0.895), FDR = 0.03173, respectively. However, these two taxa had limited instrumental variables, restricting the statistical power and potentially affecting the interpretation of the results.
Conclusion: A causal link between specific gut microbiota and breast cancer exists. This finding enhances our understanding of the relationship between the gut microbiome and breast cancer and offers potential directions for developing prevention and treatment methods.
Detecting and Classifying Myocardial Infarction in Echocardiogram Frames with an Enhanced CNN Algorithm and ECV-3D Network
Authors: S Deepika , N Jaisankar 
Published: March 2024

Abstract
Myocardial infarction is a serious medical condition that requires prompt and accurate diagnosis for effective treatment. In this paper, we present a novel approach for detecting and classifying MI in echocardiogram frames using an enhanced CNN algorithm and ECV-3D network. The proposed method aims to improve the accuracy and efficiency of MI diagnosis by leveraging advanced deep learning techniques. Through extensive experimentation, we demonstrate the effectiveness of our approach in achieving high accuracy and robustness in MI detection and classification. The results indicate the potential of our method to aid in the early and precise diagnosis of MI, thereby contributing to improved patient outcomes and clinical decision-making. After conducting thorough experimentation, our proposed approach has achieved an impressive accuracy of 97.05% in the detection and classification of myocardial infarction in echocardiogram frames. This accomplishment showcases the robustness and reliability of our method, indicating its potential to significantly impact the accurate diagnosis of MI and subsequently improve patient outcomes. Furthermore, the area under the curve attained by our model is 0.82%, reaffirming the efficacy of the enhanced CNN algorithm and ECV-3D network in accurately detecting and classifying MI.It is noteworthy that all the parameters utilized in our approach have demonstrated a high level of accuracy, emphasizing the effectiveness of our deep learning techniques in enhancing the diagnostic process for MI. Moreover, the proposed method is capable of efficiently processing large volumes of echocardiogram frames, making it suitable for real-time clinical applications.
Genetic diversification of allohexaploid Brassica hybrids (AABBCC) using a fertile octoploid with excessive C genome set (AABBCCCC)
Authors: Shinke Teppei , Yamazaki Akira , Nakamura Soraha , Kudo Hiroshi , Hosokawa Munetaka 
Published: March 2024

Abstract
Even when somatic hybrids are produced, the plants that are produced are rarely in themselves an innovative crop. In this study, we used somatic hybrids of Brassica juncea (AABB) and B. oleracea (CC) as model cases for the genetic diversification of the somatic hybrids. One cell of ‘Takana’ (B. juncea) and two cells of ‘Snow Crown’ (B. oleracea) were fused to create several somatic hybrids with excessive C genomes, AABBCCCC. Using AABBCCCC somatic hybrids as mother plants and crossing with ‘Takana’, the AABBCC progenies were generated. When these AABBCC plants were self-fertilized, and flow cytometric analysis was performed on the next generations, differences in the relative amount of genome size variation were observed, depending on the different AABBCCCC parents used for AABBCC creation. Further self-progeny was obtained for AABBCC plants with a theoretical allohexaploid DNA index by FCM. However, as the DNA indices of the progeny populations varied between plants used and aneuploid individuals still occurred in the progeny populations, it was difficult to say that the allohexaploid genome was fully stabilized. Next, to obtain genetic diversification of the allohexaploid, different cultivars of B. juncea were crossed with AABBCCCC, resulting in diverse AABBCC plants. Genetic diversity can be further expanded by crossbreeding plants with different AABBCC genome sets. Although genetic stability is necessary to ensure in the later generations, the results obtained in this study show that the use of somatic hybrids with excess genomes is an effective strategy for creating innovative crops.
Evaluating and Refining Public Health Emergency Policies in Vocational Colleges: A Study Based on Text Mining and PMC Model
Authors: Sun Bing 
Published: March 2024

Abstract
bjective: To provide a theoretical and decision-making foundation for the development of public health emergency policies in vocational colleges, essential for navigating unforeseen health crises.
Methods: Employing text mining tools, such as KH Coder, and the Policy Modeling Consistency (PMC) Model, this study performs an empirical analysis of policies from 32 vocational colleges.
Results: The findings indicate a mean PMC index of 0.42, which suggests a moderate level of policy effectiveness with substantial potential for enhancement.
Conclusion: The paper recommends establishing regional historical public health event databases, developing resource reserve models, implementing advanced command platforms, bolstering crisis communication, improving management and training structures, and providing comprehensive psychological support services, all grounded in the empirical findings.