bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Significance of Combined Detection of Ultrasonography, Pediatric Appendicitis Score and C-reactive Protein in the Diagnosis and Pathological type of Acute Appendicitis in Children
Authors: Hu Hai , Lin Minghui , Li Wei , Chen Jiabo , Su Cheng , Li Jinhong , Huang Jianyuan , Lou Yige 
Published: November 2023

Abstract
Background: As one of the most common diseases of acute abdomen, early diagnosis of acute appendicitis remains a vital issue. This study aims to explore the value of combined ultrasonography, Pediatric Appendicitis Score and C-reactive protein in the diagnosis and pathological types of appendicitis in children.
Method: A total of 268 children with acute abdominal pain admitted to our center between January 2017 and January 2020 were retrospectively analyzed and divided into group acute appendicitis and group non-acute appendicitis based on the surgical findings and pathological findings. Group acute appendicitis was further divided into three groups based on the types of pathology, group simple appendicitis, group suppurative appendicitis and group gangrenous appendicitis.
Results: Pediatric Appendicitis Score and level of C-reactive protein in group acute appendicitis were higher than group non-acute appendicitis (P < 0.05). The areas under the receiver operating characteristic curve of Pediatric Appendicitis Score, C-reactive protein and ultrasonography for acute appendicitis were 0.871, 0.777 and 0.897, respectively (P < 0.001). The sensitivity and negative predictive value of ultrasonography combined with Pediatric Appendicitis Score and C-reactive protein in diagnosing acute appendicitis were higher than ultrasonography and CRP, while the specificity and positive predictive value were lower (P＜0.05). The C-reactive protein in the acute complicated appendicitis was significantly higher than simple appendicitis, and the areas under the ROC curve of C-reactive protein and ultrasonography in diagnosing acute complicated appendicitis were 0.814(0.762-0.867) and 0.861(0.812-0.909). The sensitivity of ultrasonography combined with C-reactive protein in diagnosing acute complicated appendicitis was 98.21%, which was significantly higher than that of ultrasonography and CRP alone (P＜0.05). The sensibilities of ultrasonography for different pathological types of appendicitis were 78.95% for acute simple appendicitis, 81.97% for acute suppurative appendicitis and 92.16% for acute gangrenous appendicitis. The diagnostic results of ultrasonography for different pathological types of appendicitis in children were consistent with those of pathological examination (Kappa=0.888; P < 0.001).
Conclusion: The combination of ultrasonography, Pediatric Appendicitis Score and C-reactive protein detection is helpful to the accurate diagnosis of acute appendicitis, and ultrasonography combined with CRP may contribute to diagnosing pathological type of appendicitis in children, providing important evidence for clinical diagnosis.
Application of Robustness Analysis in Rural Poverty-Stricken Family Return-to-Poverty Risk Warning
Authors: Tang Yungang , Lei Gang , Wu Ye 
Published: November 2023

Abstract
Measuring and warning the risk of returning to poverty in rural poverty-stricken families is a crucial means to prevent and reduce poverty relapse, and it is also an important indicator for evaluating the effectiveness of poverty alleviation policies. The robustness analysis method is applied to the measurement and warning mechanism construction of the return-to-poverty risk in rural poverty-stricken families. This method is an optimization decision-making approach under conditions of uncertainty. It can ensure that the optimization results satisfy the constraints within a certain range without the need to know the distribution of uncertain parameters or membership functions. Based on the 2020 China Family Tracking Survey data, a comprehensive indicator system is constructed, encompassing both external risks and internal capabilities. The robustness analysis method is then used to calculate the return-to-poverty risk levels of 4,477 rural poverty-stricken households. Four warning levels are defined based on the results, and corresponding warning measures are proposed. The research reveals that the return-to-poverty risk of rural poverty-stricken families follows a right-skewed distribution with significant variations and hierarchies. Rural poverty-stricken families' return-to-poverty risk is influenced by various factors, including external shocks, economic fluctuations, living conditions, and human and social aspects, with inherent connections among these factors. Differentiated and personalized assistance services, including preventive, responsive, and restorative measures, are needed for rural poverty-stricken families of different warning levels, types, or groups. This study provides a new perspective and tool for preventing and reducing the return to poverty in rural poverty-stricken families.
Clinical outcomes of second-line therapy following disease progression on first-line modified FOLFIRINOX for borderline resectable and locally advanced pancreatic adenocarcinoma
Authors: Yoon Hyunseok , Shin Yeokyeong , Ryoo Baek-Yeol , Jeong Hyehyun , Park Inkeun , Seo Dong-Wan , Lee Sang Soo , Park Do Hyun , Song Tae Jun , Oh Dongwook , Hwang Dae Wook , Lee Jae Hoon , Song Ki Byung , Park Yejong , Kwak Bong Jun , Hong Seung-Mo , Park Jin-hong , Kim Song Cheol , Kim Kyu-pyo , Yoo Changhoon 
Published: November 2023

Abstract

Purpose Modified FOLFIRINOX (mFOLFIRINOX) is one of the standard first-line therapies in patients with borderline resectable pancreatic cancer (BRPC) and locally advanced unresectable pancreatic cancer (LAPC). However, there is no globally accepted second-line therapy following progression on mFOLFIRINOX. Methods Patients with BRPC and LAPC (n = 647) treated with first-line mFOLFIRINOX between January 2017 and December 2020 were included in this single-center retrospective analysis. The details of the treatment outcomes and patterns of subsequent therapy after mFOLFIRINOX were reviewed. Results With a median follow-up duration of 44.2 months (95% confidence interval [CI], 42.3–47.6), 322 patients exhibited disease progression on mFOLFIRINOX—locoregional progression only in 177 patients (55.0%) and distant metastasis in 145 patients (45.0%). The locoregional progression group demonstrated significantly longer post-progression survival (PPS) than that of the distant metastasis group (10.1 vs. 7.3 months, p = 0.002). In the locoregional progression group, survival outcomes did not differ between second-line chemoradiation/radiotherapy and systemic chemotherapy (progression-free survival with second-line therapy [PFS-2], 3.2 vs. 4.3 months; p = 0.649; PPS, 10.7 vs. 10.2 months; p = 0.791). In patients who received second-line systemic chemotherapy following progression on mFOLFIRINOX (n = 211), gemcitabine plus nab-paclitaxel was associated with better disease control rates (69.2% vs. 42.3%, p = 0.005) and PFS-2 (3.8 vs. 1.7 months, p = 0.035) than gemcitabine monotherapy. Conclusions The current study showed the real-world practice pattern of subsequent therapy and key clinical outcomes following progression on first-line mFOLFIRINOX in BRPC and LAPC. Further investigation is necessary to establish the optimal therapy after failure of mFOLFIRINOX.
A comparative study of the effect of facet tropism on the index-level kinematics and biomechanics after artificial cervical disc replacement (ACDR) with Prestige LP, Prodisc-C vivo, and Mobi- C: a finite element study
Authors: Li Jing , Li Ye , Zhang Junqi , Wang Beiyu , Huang Kangkang , Liu Hao , Rong Xin 
Published: November 2023

Abstract

Introduction Artificial cervical disc replacement (ACDR) is a widely accepted surgical procedure in the treatment of cervical radiculopathy and myelopathy. However, some research suggests that ACDR may redistribute more load onto the facet joints, potentially leading to postoperative axial pain in certain patients. Earlier studies have indicated that facet tropism is prevalent in the lower cervical spine and can significantly increase facet joint pressure. The present study aims to investigate the changes in the biomechanical environment of the cervical spine after ACDR using different prosthese when facet tropism is present.Methods A C2-C7 cervical spine finite element model was created. Symmetrical, moderate asymmetrical (7 degrees tropism), and severe asymmetrical (14 degrees tropism) models were created at the C5/C6 level. C5/C6 ACDR with Prestige LP, Prodisc-C vivo, and Mobi-C were simulated in all models. A 75 N follower load and 1 N⋅m moment was applied to initiate flexion, extension, lateral bending, and axial rotation, and the range of motions (ROMs), facet contact forces(FCFs), and facet capsule stress were recorded.Results In the presence of facet tropism, all ACDR models exhibited significantly higher FCFs and facet capsule stress compared to the intact model. In the asymmetric model, FCFs on the right side were significantly increased in neutral position, extension, left bending and right rotation, and on both sides in right bending and left rotation compared to the symmetric model. All ACDR model in the presence of facet tropism, exhibited significantly higher facet capsule stresses at all positions compared to the symmetric model. The stress distribution on the facet surface and the capsule ligament in the asymmetrical models was different from that in the symmetrical model.Conclusions The existence of facet tropism could considerably increase FCFs and facet capsule stress after ACDR with Prestige-LP, Prodisc-C Vivo, and Mobi-C. None of the three different designs of implants were able to effectively protect the facet joints in the presence of facet tropism. Research into designing new implants may be needed to improve this situation. More attention should be paid to facet tropism when planning surgery and selecting implants.
Quality of routine data related to facility-based maternal mortality measurement in Kampala City, Uganda
Authors: Birabwa Catherine , Banke-Thomas Aduragbemi , Semaan Aline , Olmen Josefien van , Kananura Rornald Muhumuza , Arinaitwe Emma Sam , Waiswa Peter , Beňová Lenka 
Published: November 2023

Abstract
Background
Routine health facility data are an important source of health information. Regular quality assessments are necessary to improve the reliability of routine data for different purposes, including estimating facility-based maternal mortality. The objective of this study was to assess the quality of routine data on deliveries, livebirths and maternal deaths in Kampala City, Uganda.
Methods
We reviewed routine data reported by health facilities through the district health information system (DHIS2) from 2016 to 2021. This time period included an upgrade of the DHIS2 resulting in two datasets (2016–2019 and 2020–2021) that were managed separately. We analysed data for all facilities that reported at least one delivery in any of the six years, and for a subset of facilities designated to provide emergency obstetric care (EmOC). We used the World Health Organization data quality review framework to assess completeness and internal consistency of the three data elements, using 2019 and 2021 as reference years. Primary data was collected to verify the accuracy of reporting in four purposively selected EmOC facilities. Descriptive statistics, including frequencies and percentages, were computed using STATA (v14) and Microsoft Excel.
Results
We included 255 facilities from 2016–2019 and 247 from 2020–2021; of which 30% were EmOC facilities. The overall completeness of data for deliveries and livebirths ranged between 53% and 55%, and was < 2% for maternal deaths (98% of monthly values were zero). Among EmOC facilities, completeness was higher for deliveries and livebirths at 80%; and was < 6% for maternal deaths. For the whole sample, the prevalence of outliers for all three data elements was < 2%. Inconsistencies over time were mostly observed for maternal deaths, and underreporting of maternal deaths was noted in one of the EmOC facilities verified.
Conclusion
Routine data from facilities providing childbirth services in Kampala were generally suboptimal, but of acceptable quality in EmOC facilities. However, given likely underreporting of maternal deaths, further efforts to verify and count all maternal deaths in health facilities are essential to accurately estimate facility-based maternal mortality. There is still a need to improve facility reporting, especially in non-EmOC facilities.
Integrating Superexcels Modules to Instructional Supervision for Teaching Competency Enhancement
Authors: Dalumpines Rey Mangaron 
Published: November 2023

Abstract
This action research employed mixed methods. The researcher employed purposive sampling in the data gathering to measure the efficiency of the intervention basing mainly on the judgment of the researcher during the selection of samples to focus on the specific indicators or criteria as perceived in the conduct of the study. The researcher employed an adapted and modified research questionnaire to 20 teacher-respondents to gather their perceptions on the implementation of the instructional approaches across quarters through the SUPEReXCELS. The research design was quasi – experimental since not all elements in an experimental phase were strictly observed. The teaching competence of the teachers in Camanga National High School was assessed and analyzed and was identified according to their levels of abstraction and commitment through Developmental Supervision and Administrative Monitoring each has been implemented for 2 quarters to assess its efficiency on their competence in teaching. The test of significant difference between the levels of improvement during the first and second implementation of developmental supervision showed a computed t value at 16 df is 0.324 which is greater than the p-value at 5% level of significance while the test of significant difference between the levels of improvement during the third and fourth implementation of administrative monitoring showed computed t value at 16 df is 0.453 which is greater than the p-value at 5% level of significance. Results of the study showed that the integration of the SUPEReXCELS module to instructional supervision yielded to have high impact on teachers’ teaching competence, respectively.
NUMERICAL INVESTIGATION OF CONVECTIVE HEAT TRANSFER PERFORMANCE IN CORRUGATED CONVERGING PIPE
Authors: Fadodun Olatomide G. , Olatinwo Adenike , Amosun Adebimpe A. , Adeyanju Adefope , Micheal T. Ojo 
Published: November 2023

This study examines turbulent convective heat transfer performance
(CHTP) and entropy production rate (EPR) of distilled water flowing in
outwardly corrugated converging pipes (CCPs) of various diameter ratios
(DR). The SST k - ω turbulence models were used to simulate the flow of
H O inside the pipe. The effects of Reynolds number ( 5
. 0 × 10 3 ≤ Re ≤ 5 . 0 × 10 4 ), and DR ( 1 ≤ DR ≤ 2 ) on average
Nusselt number ( Nu ), Poiseuille number (fRe) thermal performance
evaluation criterion (PEC), EPR, and thermal effectiveness number ( I )
Nu were investigated parametrically. The findings revealed a significant
improvement in Nu in the modified pipe compared with the straight pipe.
This improvement is attributed to flow acceleration and increases in the
mixing rate of hot fluid near the wall with cold fluid at the core fluid
zone. Also, Nu , fRe , and EPR increase with increasing Re and DR.
However, the opposite is the case for PEC and I . Finally, the values
of PEC, and I revealed that the modified pipe is advantageous compared
with a straight pipe at ( 5 × 10 3 ≤ Re ≤ 1 . 0 × 10 4 ) .
The Role of Calorie Restriction in Cancer Prevention, Cancer Treatment, Longevity, and in Reducing Cellular Stress
Authors: Naji Hassan S. 
Published: November 2023

Cancer is one of the top main illnesses worldwide. The aging of the population and the widespread presence of risk factors including obesity, smoking, and/or bad eating habits are expected to contribute to its further rise. Chemotherapy, radiation therapy, and surgery continue to be the cornerstones of cancer treatment, despite the gradual replacement or supplementation of these methods by innovative treatments. The American Cancer Society suggests a high-calorie, high-protein diet for cancer patients undergoing chemotherapy. Furthermore, there are no established recommendations for the kind of diet that would significantly reduce cancer rates. However, calorie restriction (CR) and fasting, two common methods of reducing caloric consumption, show a broad variety of positive benefits that may prevent malignancies and boost the effectiveness of cancer treatments. Periodic fasting (PF), fasting-mimicking diets, and restricted food intake without first a decrease in calories have become popular as interventions with the potential to be widely used to prevent and treat cancer, while chronic CR provides both beneficial and detrimental effects and major compliance challenges. In this article, we discuss the impact that calorie restriction has in preventing cancer, aiding in cancer treatment, producing cellular protection and chemotherapy resistance in animal models and early human investigations.
ANALISIS PENGARUH KECERDASAN EMOSIONAL DAN KNOWLEDGE SHARING TERHADAP STRES KERJA KARYAWAN PT. BANK SUMUT KANTOR PUSAT MEDAN
Authors: Harmen Hilma , Indriani Riza 
Published: November 2023

Penelitian ini menganalisis Pengaruh Kecerdasan emosional dan Knowledge Sharing terhadap Stres Kerja Karyawan di PT. Bank Sumut Kantor Pusat Medan. Populasi adalah karyawan tetap PT. Bank Sumut Medan, diambil Sampel sebanyak 116 Karyawan. Teknik sampel menggunakan teknik Cluster Random Sampling. Pengumpulan data dilakukan dengan menyebarkan kuesioner kepada responden kemudian diolah dengan menggunakan analisis regresi berganda. Ditemukan bahwa Kecerdasan emosional berpengaruh negatif terhadap Stress Kerja. Knowledge Sharing memiliki pengaruh positif terhadap Stres Kerja. Kecerdasan Emosional (X1) dan Knowledge Sharing (X2) secara bersama-sama atau simultan berpengaruh positif terhadap Stress Kerja (Y). Untuk mengurangi stres kerja karyawan PT. Bank Sumut Medan diberikan beberapa saran dalam penelitian ini.
Régimen de explotación del aprovechamiento cinegético en España: análisis de los principales problemas que afectan al sector
Authors: Redero García Sebastián 
Published: November 2023

La caza es una actividad vital en España, tanto desde el punto de vista económico especialmente en zonas rurales-, como ecológico -contribuyendo a incrementar la biodiversidad y la calidad de los hábitats-, así como para controlar poblaciones de especies que ocasionan cuantiosos daños en otros sectores primarios e, incluso, para garantizar la seguridad y salud de las personas.
A pesar de ello, existen corrientes ideológicas contrarias a la caza que luchan a todos los niveles para prohibir esta actividad. Dotadas de una ingente financiación y con una gran capacidad para influir en la opinión pública, están presentes en el panorama político y normativo, especialmente en los ámbitos estatal y europeo, de modo que la actividad cinegética se está viendo sometida a una ofensiva sin precedentes que condiciona su normal desarrollo.
Value and path optimization of multi-data fusion algorithm to help sports tourism high-quality development
Authors: Cheng Jiawen , Xu Zhongwei , Li Ze 
Published: November 2023

Abstract
This paper begins by analyzing the high-quality development of sports tourism and then characterizes the massive data in sports tourism with multi-source heterogeneous and heterogeneous data. The parallel data fusion platform is Hadoop, and the multi-data feature extraction algorithm is LSTM. To complete multi-source data fusion, a random forest model enhances the algorithm’s classification performance. It is verified that the information weight value H in the weight of high-quality development of sports tourism gradually increases and stabilizes at 9.87. The multi-source data fusion algorithm can help in the in-depth fusion and common sharing of data resources in sports tourism and promote the high-quality development of sports tourism.
The Application of Online-Offline Mixed Teaching Mode in Computer Teaching in Colleges and Universities in the Context of Internet+
Authors: Mei Yingying 
Published: November 2023

Abstract
This paper uses a deep learning algorithm to extract training samples for hybrid teaching resources in the context of Internet+. The support vector machine establishes a linear regression function, and a nonlinear function is used to map the samples to a high-dimensional feature space for solving. To optimize the training problem, a deep neural network is employed to construct a neuronal structure model and calculate the loss function. The text vectorization method was selected as the input layer processing of the convolutional neural network, and the index scores of the hybrid teaching model in the context of Internet+ were all 6 and above, with the highest score reaching 10. Therefore, online and offline hybrid teaching modes can provide a more flexible and optimized teaching method and promote resource sharing and optimization.
Cross-border e-commerce marketing cost control method for agricultural products based on reinforcement learning algorithm
Authors: Zhou Xiaoyan 
Published: November 2023

Abstract
In this paper, we measure the effectiveness of recommendations using the provider coverage of reinforcement learning algorithms under new media videos, using parameters smaller than the state space to estimate the value function. The reinforcement learning algorithm determines the population's state and maximum fitness by specifying the number of gene updates per generation. Based on the sample characteristics of the mixed cross-section data, the least squares benchmark regression sets the category of agricultural products and finds that the growth rate of cross-border e-commerce in agricultural products decreases from 28.57% to 11.66%, the highest logistics and distribution accuracy is 11.987, and the cross-border e-commerce in agricultural products has a coverage rate of about 5.57%. It shows that utilizing a reinforcement learning algorithm ensures the maintenance of the efficiency of e-commerce applications and can achieve a comprehensive change in sales.
Based on the integration of multimedia e-commerce environment in the enterprise management innovation technology applications
Authors: Li Wen 
Published: November 2023

Abstract
This paper first applies Multi-Agents’ distributed data management model to establish an enterprise economic data mining platform, combined with a clustering algorithm to extract valuable economic data from a multi-source heterogeneous enterprise database. The weights of indicators are solved by particle cluster algorithm, and the linkage vector distance and set-pair analysis of linkage degree are introduced to construct the innovative technology of enterprise economics and management under the integrated multimedia e-commerce environment. The study shows that the enterprise macro optimal economic index weight of this paper’s method is 0.812, and the production qualification rate of the enterprise is as high as 98.8%, which indicates that this paper’s method can meet the innovation of the enterprise development, and realize the enterprise business management and development strategy is of great significance.