bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors influencing postoperative symptom improvement in hiatal hernia patients and construction of a clinical prediction model
Authors: Huang Haonan , Ma Ning , Ma Tao , Liu Chuangxiong , Huang Enming , Tang Fuxing , Zhou Taicheng 
Published: November 2023

Abstract
Purpose: Our purpose was to analyze the factors influencing the improvement of symptoms postoperatively in patients with a hiatal hernia (HH), and build a clinical prediction model.
Methods: The records of 121 patients with a HH who received surgery at the Sixth Affiliated Hospital of Sun Yat-Sen University from April 2019 to October 2022 were retrospectively reviewed. Patients were divided into a good improvement group (88 patients) and a poor improvement group (33 patients) according to the improvement of symptoms postoperatively. Patient demographic and clinical data, and high-resolution manometry (HRM) data were extracted from the records, and data of the 2 groups were compared by univariate analysis. Statistically significant factors (p<0.05) were incorporated into a multivariate logistic regression model to determine independent factors of postoperative symptom improvement. A clinical prediction model and a nomogram were constructed. Receiver operating characteristic (ROC) curve and calibration curve analysis were used to predict the accuracy of the model. Decision curve analysis (DCA) was used to evaluate the clinical applicability of the model.
Results: Multivariate logistic regression analysis showed that non-smoking history and level of distal contraction integral (DCI) were independent factors affecting postoperative symptom improvement of HH patients. The accuracy of the test scoring system shows that the C index is 0.878.
Conclusion:The Improvement of symptoms postoperatively in HH patients is affected by smoking history and DCI level. The clinical prediction model established based on these results has good efficacy in predicting the outcomes of patients with a HH who undergo surgery.
Integrative analyses of bulk, single-cell and spatial transcriptomics identified diabetes mellitus-related signature as a prognostic factor in pancreatic adenocarcinoma
Authors: Tang Le , Xie Tongji , Fan Guangyu , Zhu Haohua , Yao Jiarui , Shi Yuankai 
Published: November 2023

Abstract
Purpose
Pancreatic adenocarcinoma (PAAD) is a deadly disease, particularly for those with diabetes mellitus (DM). While there have been various studies on prognostic factors in pancreatic cancer, few have specifically focused on PAAD patients with DM. This study aimed to identify differentially expressed genes (DEGs) between DM and non-DM individuals and develop a predictive model.
Materials and Methods
PAAD patients with DM were divided into training (70%) and test (30%) groups, and OS-associated genes were identified using univariate COX analysis. A 10-gene risk model was constructed using LASSO-penalized COX regression with ten-fold cross-validation.
Results
The model showed a C-index of 0.83 in the training group and 0.76 in the test group. High risk group represented a tumor-growth and angiogenic phenotype and the low group represented an immune-active phenotype.
Conclusion
This prognostic model holds promise for predicting overall survival in PAAD patients with DM, indicating potential benefits from immunotherapy for those with low-risk scores.
Temporal trends and shifts of 24 notifiable infectious diseases in China before and during the COVID-19 epidemic
Authors: Chen Tianmu , Li Kangguo , Rui Jia , Song Wentao , Liu Chan , Zhao Yunkang , Qu Huimin , Wei Hongjie , Zhang Ruixin , Abudunaibi Buasiyamu , Wang Yao , Zhou Zecheng , Liu Hong , Xiang Tianxin 
Published: November 2023

Abstract

The COVID-19 epidemic and the subsequent implementation of public health and social measures (PHSMs) have markedly reshaped the transmission dynamics of infectious diseases. In this study, we analyzed the impact of PHSMs on 24 notifiable infectious diseases (NIDs) in mainland China and utilized multiple time series models to forecast transmission trends under hypothetical scenarios without PHSMs or epidemic. Our findings revealed distinct seasonal patterns in the incidence of different NIDs categories. Among these categories, respiratory infectious diseases exhibited the most substantial response to PHSMs, while bloodborne and sexually transmitted diseases demonstrated more moderate effects. Furthermore, we identified 8 NIDs, including hand, foot, and mouth disease (HFMD), dengue fever, malaria, pertussis, scarlet fever, mumps, and rubella, as being highly susceptible to the impact of PHSMs. PHSMs, such as travel restrictions, played a crucial role in mitigating the transmission of zoonotic diseases such as dengue fever and malaria. Interestingly, the easing of PHSMs did not lead to a notable resurgence in NIDs, likely due to the continued practice of self-isolation. Our findings highlight the varied impact of PHSMs on different infectious diseases and emphasize the need for developing sustainable, long-term strategies, such as vaccine development, for their prevention and control.
Profiling the clinical presentation and bacterial causes of fever and hypothermia among neonates at a district hospital in rural Rwanda
Authors: Orikiriza Patrick , Seifu Daniel , Ruhangaza Deogratius , Niyibizi Jean Baptiste , Bizimana Ezechiel , Nshimiyimana Irene , Mujyuwisha Louis , Bekele Abebe 
Published: November 2023

Abstract
Purpose
Neonatal sepsis remains a significant cause of morbidity and mortality worldwide, particularly in low-resource settings. We explored the clinical presentation and bacteria causing fever and hypothermia among neonates at a rural district hospital in Rwanda.
Methods
Between 29th March to 7th October 2022, a total of 126 children were enrolled in this cross-sectional study. Clinical data was obtained from children with fever or hypothermia at Butaro District Hospital. Blood culture was done using conventional methods. Positive cultures were sub-cultured onto MacConkey, blood agar, and chocolate, and incubated for 24 hours to confirm the pathogen. Mothers were followed for neonatal outcomes before and after discharge for two weeks.
Results
Among the neonates, 55.6% were males. The majority were aged 24 hrs and 6 days 99/126(78.6%). All children had fever or hypothermia, tachycardia (84.1%), tachypnea (87.3), poor perfusion (81%), abnormal breathing (70.6%), or abnormal cavities (50%), among others. Many mothers (46%) had at least four ANC visits, and none had a known HIV infection. In our sample of mothers, 7.9% reported a previous history of sepsis, 31.7% delivered by C-section, and 20.6% had a history of sepsis.
Blood cultures were positive in 67/126 (53.2%) neonates: 9 for Staphylococcus aureus (7.1%), 49 for coagulase-negative staphylococcus (CNS) (38.9%), 8 for gram-negative rods (6.4%), and 1 for Hemophilus species (0.8%). The mortality rate was reported at 7/126 (5.6%) among these children.
Conclusion
High positivity rates with CNS were reported among the neonates suggesting further approaches to minimize cross contamination in the neonatology unit.
Leadership experiences of nurse managers in a Saudi Ministry of Health Hospital: A focused ethnographic study
Authors: Alenezi Ibrahim Naif 
Published: November 2023

Abstract
Background: Vision 2030, which aims to provide all Saudi citizens with high-quality healthcare, is constrained by international and domestic shortages of nursing staff. Therefore, nursing directors have recommended the introduction of a professional career path, focusing on developing nurses’ leadership skills. However, despite widespread recognition of nurse managers’ key role in recruiting, retaining and engaging nurses, few studies have explored how Saudi managers are trained and acquire leadership skills and how they deploy them. This study aimed to explore how nurse managers view and experience leadership within their workplace.
Methods: An ethnographic study into the perceptions and experiences of nurse managers regarding their leadership development was undertaken in a Saudi hospital affiliated with the Ministry of Health. Periodic study visits to the hospital over 8 months were undertaken to collect qualitative data. They involved workplace and continuing medical education observations, an examination of relevant documents, informal interviews/discussions, and semistructured interviews with 21 nurse managers. A framework approach analysis was used to interpret and summarise the data.
Findings: The data were organised into four major themes: imbalanced power dynamics, no shared vision, workplace rituals and behaviours, and the need for learning.
This paper discusses the imbalance of power, which was also in line with other international studies. The hospital had hierarchical and transactional management structures and processes and a culturally pervasive and normalised capricious leadership approach that was framed by Wasta. This is aform of nepotism normalised to Saudi business practice but now officially recognised and condemned as corrupt by state legislators. A climate of fear and intimidation induced compliance, conformity, and adaptation by managers to the directorate diktats. However, they also used other strategies to subvert and avoid some of the directorate’s authority.
Conclusion: The notion that wasta was everywhere was pervasive within the hospital organisation and reported to be the root cause behind most of the dubious directorate decisions. It was used to enhance performance, obtain financial rewards, secure favourable work assignments, obtain meritless leadership promotions, and allocate staff arbitrarily. Paradoxically, while managers disparaged their experiences of the capricious use of wasta, some more vehemently than others, they also used it to get what was they assumed should be their due and occasionally at the expense of their colleagues.
Assessment the Exposure Effects of Polycarbonate with X-ray Radiation using Spectroscopic Techniques and Molecular Modeling Calculations
Authors: Zaki M. F. , Rashad A. M. , Elkalashy Sh. I. , Al-Naggar Tayseer I. 
Published: November 2023

Abstract
In this article, the effects of 6 MeV energy of X-ray radiation on polycarbonate polymeric films were investigated. The induced alterations are assessed using several methodologies: FTIR spectroscopy, contact angle measurements, surface roughness assessment, UV/Vis spectroscopy, and luminescence emission spectroscopy. As well, using the basic sets in the ground state of the polycarbonate structure, the vibrational analysis has been carried out using the density functional theory (DFT). The FTIR spectra display that the X-ray irradiation produces surface chemical alterations in the irradiated films due to successive degradation mechanisms due to the decrease in the detected band peaks. The basis sets that were calculated using the DFT method are in good agreement with the experimentally observed spectra. The frontier molecular orbital energies are used to assess the molecule's energy gap (HOMO-LUMO). The value of the frontier energy gap reflects the chemical reactivity and intermolecular charge transfer that take place within the molecule. The surface wettability behaviors were amended due to the decrease in the contact angle values of irradiated films. This leads to an increase in the surface roughness and surface free energy. X-ray irradiation can enhance the surface goodness of polycarbonate films and control their surface properties to be used in biocompatibility applications. The optical properties of irradiated films show modifications in the studied optical parameters. The absorbance spectra exhibited a shift in the absorption edge of the irradiated samples compared with the pristine one. This shift indicates the decreases in the band gap energy of irradiated samples. For direct transitions, the band gap decreased from 4.03 to 3.125 eV, and for indirect transitions, it decreased from 3.5 0 to 2.65 eV. This result was attributable to the formation of defects and the creation of complex charge transfer due to X-ray irradiation. The photoluminescence emission spectra show that the peak intensities are obviously influenced by increasing the irradiation doses. This is attributable to the band-band transition, donor/acceptor pairs, and bound to free transition, which correlated to the received absorbed dose.
Uncertainty Quantification of the ONERA 7A Rotor Performance and Spanwise Structural Loads using a Surrogate-Based Approach
Authors: Khurana Manas , Yeo Hyeonsoo 
Published: November 2023

Abstract

The study demonstrates the role of uncertainty quantification for rotorcraft aeromechanics using the ONERA 7A rotor. The uncertainties in blade properties including torsion, flap, and lag stiffness on rotorcraft performance and spanwise structural loads are quantified. To support this effort, a stochastic-based computational framework is developed using a surrogate of the rotorcraft comprehensive analysis code with artificial neural networks. Statistical analysis is undertaken to quantify system uncertainties with probabilities and a qualitative approach with parallel coordinate plots is used for a visual interpretation of the trends between uncertain inputs and response outputs. It is shown that the stochastic-based approach will aid intelligent data driven decisions to follow as a design window with quantifiable probabilities of failure due to high loads and/or excessive power requirements are identifiable.
The influence of kidney depth measured by computed tomography on glomerular filtration rate in patients with moderate and severe obstructive nephropathy
Authors: Ren Siyu , Wu Airui , Wen Xiaoxia , Liang Wenli , Zhao Deshan 
Published: November 2023

Abstract
Purpose: This study aimed to evaluate the effect of CT for correcting the renal depth on the accuracy of GFR in the patients with moderate and severe hydronephrosis.
Methods: Fifty five patients with hydronephrosis were studied. All the subjects were accepted the diuretic dynamic renal imaging, injected 99mTc-DTPA, and abdominal CT scanning after renal imaging. GFR in all patients were tested by two-sample plasma clearance method. The tønnesen's formula and CT were used to measure the kidney depths.According to tGFR, all the subjects were divided into 3 groups: (1)patients: GFR≥90 ml/min1.73m2; (2)patients: 60≤GFR＜90 ml/min1.73m2; (3)patients: 0＜GFR＜60 ml/min1.73m2. All statistical analysis was done with SPSS statistics version 25.0.
Results: In patients with moderate to severe hydronephrosis, the renal depths in normal and hydronephrotic kidneys measured by CT were significantly greater compared to Tønnesen formula(t=-6.61, t=-9.65, p＜0.05, p＜0.05). 2. In GFR ≥90 ml/min1.73m2 and 60≤GFR＜90 ml/min1.73m2 groups, significant differences between gGFR and tGFR weren’t found , and dGFR was significantly higher than tGFR (t=-2.779, t=2.62, p=0.013, p=0.01). In GFR＜60 ml/min1.73m2 group, significant differences between tGFR and all other GFRs were noted (t = 2.68, t = -4.33, p < 0.05, p < 0.05). 3. In the patients with moderate to severe hydronephrosis, there were statistically differences between dGFRsingle and gGFRsingle in normal and hydronephrotic kidneys (t=7.46, t=6.16, p<0.05, p<0.05).
Conclusion: The CT-based renal depth-calibrated GFR could be more accurately used to evaluate the renal function in the patients with moderate-to-severe hydronephrosis.
Key words: hydronephrosis; glomerular filtration rate; computed tomography; Gates method; kidney depth
Optimization of Rate Distortion Control Based on Fundamentals of Convolutional Neural Networks.
Authors: Singam Amitesh Kumar , Pashike Venkat raj reddy 
Published: November 2023

Abstract

Roots of Convolutional Neural Networks or Fuzzy weights based Neural Networks and its fundamentals are mostly concerned with coordination and its respective logic's and moreover with consideration of Neuroscience terms and conditions in involvement of research practices towards Artificial Neural Networks, we need to abide that human visual characteristics(HVS) are considered with first priority towards developmental cases in research activities. Moreover cognitive abilities and emotion management are considered as second priority compare to Human visual System(HVS).
EMR sharing system with lightweight searchable encryption and rights management
Authors: Luo HaoTian , Mei Niansong , Du Chong 
Published: November 2023

Abstract
The blockchain-based Electronic Medical Record (EMR) data storage system encounters challenges such as data leakage, insufficient access control, and low retrieval efficiency. In response to these issues, this paper proposes a lightweight searchable encryption and access control system for shared EMR data. The searchable encryption scheme is constructed using BGG13 + and MP12. The lightweight design is achieved by integrating the trapdoor verification phase with the keyword retrieval phase. User access control is implemented through a Boolean circuit. Simulations and experiments demonstrate that the system presented in this paper surpasses related studies. In addition, this paper adopts the Bloom filter as the system index to enhance the efficiency of block-chain data retrieval. Experimental results indicate that the index structure can boost data retrieval speed by 30%-50%.
Crop Loss Induced by Avian and Rodent Pest Infestations of Lowland Rice (Oryza Sativa L.) Grown in a Savanna Transition Environment of Nigeria
Authors: Okwara Obinna Stanley , Pitan Olufemi , Osunsina Israel , Afolabi Clement 
Published: November 2023

Abstract
Rice (Oryza sativa L.) belongs to the family poaceae and has become the most popular food. Cultivation of this crop is been faced with the menace of vertebrate pests of which birds and rodents are the most implicated. This research, carried out during the 2020 and 2021 cropping seasons was to identify the bird and rodent pest species associated with lowland rice, determine their infestation status and quantify the losses induced. The experiment was a split-plot arrangement fitted into a Randomized Complete Block Design. Main plots were protection and no-protection, sub-plots were four rice varieties: Ofada, NERICA-L-34, ARICA-3, and WITA-4. Data collected were subjected to Analysis of Variance (p ≤ 0.05) and means were compared using Least Significant Difference (LSD). The bird pests identified were: Passeriformes - Ploceus melanocephalus Linnaeus (Ploceidae), Ploceus cuculatus Muller (Ploceidae) and Spermestes cucullatus Swainson (Estrildidae) while the rodent pest identified was Thryonomys swinderialus Fitzinger (Thryonomyidae). In 2020 and 2021, the infestation levels of birds and rodents were significantly (p < 0.05) higher under the no-protection plots (1.21 and 5.24) and (2.31 and 2.62) than the protected plots (0.00 and 0.56) and (0.00 and 0.18) respectively, the estimated bird- and rodent-induced losses ranged between 85.59% − 92.01% and 83.44% − 95.98% in 2020 and 2021, respectively. In conclusion, bird and rodent pests cause significant loss to rice crops and therefore, protection measures are recommended for optimum grain yield.
Application of data science in career path and employability analysis from secondary and higher education students: a systematic review
Authors: Nadela Savira Dwia , Yin Kaiqian 
Published: November 2023

Abstract
Background
A sophisticated approach is required for career planning in the dynamic nature of the modern job market. Data science offers the capability to analyze complex factors influencing career paths and employability, providing students with tailored recommendations for success. This study aims to describe contemporary literature on the applicability of data science to students’ career paths and employability data.
Method
Multiple databases were systematically reviewed for student career and employability analysis studies up to May 2023 in both secondary and higher education. The review aimed to answer three research questions: 1) Which data science methodologies and techniques were used in predicting students’ career paths and employability? 2) What variables were identified as predictors of students' career decisions? 3) What performance metrics were used to evaluate the models?
Results
56 studies were identified involving 583,000 students. Studies mainly focused on employability outcomes (N = 30), with a significant portion in India (39.3%). Since 2016, research in this area has steadily increased. Random forest was the predominant model (N = 10), followed by other ensemble methods and Support Vector Machine (17.8%, 12.5%, and 10.7% respectively). Academic performance (N = 30) and student demographics (N = 28) were key predictors of career paths and employability. Accuracy was the primary evaluation metric (N = 48), followed by Recall (N = 26).
Conclusion
The study's results demonstrate the Random Forest algorithm outperformed other methods. The most influential factors was student's academic performance. The accuracy of predictions was the primary measure used to evaluate the models.
Analisis bibliometrik perkembangan penelitian tentang perjuangan ulama menggunakan Vosviewer
Authors: Darmawan Budi , Shalihin Nurus , Nopriyasman Nopriyasman 
Published: November 2023

Purpose. This research aims to investigate the prominent Ulama figures who have played significant leadership roles in Indonesian society throughout history. These Ulama have been instrumental in various aspects, including social, political, and religious realms. The article delves into the evolution of research publications related to the struggles of Ulama from 2010 to 2023.Methodology. The methodology employs a descriptive bibliometric analysis focused on the struggle of Ulama, using specific keywords like “Perjuangan” and “Ulama” on the Dimensions platform, within the timeframe of 2010 to 2023.Results and discussion. The results reveal fluctuations in the number of publications, ranging from a peak of 786 in 2018 to only 70 in 2023, with a significant spike in 2017. The research network involves three clusters of authors, highlighting diversity in the field. Overlay Visualization demonstrates strong author relationships, with some forming influential networks. The Indonesian Institute of Science had a notable impact on many writers. Density Visualization identifies active authors and Co-occurrence analysis reveals four keyword clusters, with “Islam” and “Indonesia” as primary foci. A trend shift occurred in 2020, with new keywords gaining prominence such as “Education, Women, Politics, and Law”. These data show that research on the theme of the ulama's struggle still has many opportunities.Conclusions. The bibliometric analysis of the ulama struggle research (2010-2023) provides information about publication fluctuations and close collaboration. diversity, changing trends, and research potential that has not yet been fully explored regarding the struggles of the ulama. which is useful for encouragement and determining the focus for further research on the struggles of the ulama.