bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reconsideration of the timing of surgery for intestinal obstruction in patients with relapsed ovarian cancer: a case report
Authors: Weijia Wang , Yahong Gong 
Published: June 2024

Abstract

Background
Intestinal obstruction is common in patients with relapsed ovarian cancer. In these patients, surgical decompression is only indicated if conservative treatment has failed. However, prolonged conservative treatment may increase the risk of perioperative complications. Early surgical intervention should be indicated depending on the patient’s individual characteristics.
Case presentation
We report a case of a 55-year-old woman who underwent exploratory laparotomy for intestinal obstruction and relapsed ovarian cancer. The patients received fifteen days of conservative treatment before the surgery. Severe enterogenic sepsis and hyperkalaemia occurred during intestinal decompression, increasing the risk of perioperative complications. Based on the patient’s history and clinical presentation, early operation should be considered.
Conclusions
For patients with intestinal obstruction related to relapsed ovarian cancer, it is important to have a full understanding of the disease and choose the optimal time of surgical intervention based on the individual situation.
Experimental Study of the Conversion of Polyethylene and Polypropylene to Non-Condensable Gases using a Lab-scale Bubble Column Reactor with Molten Metal Catalysis
Authors: Lee Eunji , Yang Won , Lee Uendo , Lee Yongwoon , Lee Youngjae 
Published: June 2024

Abstract

Sustainable solutions for recycling waste plastics are necessary to replace conventional processing techniques. Plastic pyrolysis is a promising technology for converting waste plastic into useful chemicals. This study aims to selectively separate and produce hydrogen (H2) via plastic pyrolysis using a molten metal catalyst. The characteristics of plastic conversion to non-condensable gas under various operating conditions, such as the number of reactors, reaction temperature, and type of molten metal catalyst used, were investigated. Nitrogen (N2) was introduced into a molten metal bubble column reactor containing a metal catalyst, and plastic was then uniformly mixed inside the catalyst through the formed rotating flow. Polyethylene and polypropylene were pyrolyzed at 700–900 ℃. In the single reactor, the fraction of H2 was similar to that reported in previous studies; however, the fraction of light hydrocarbons increased. As the number of reactors increased in the multi-stage reactor, the fraction of CH4 increased to 58%. At elevated reactor temperatures, the fraction of H2 increased to 40% as the decomposition of light hydrocarbons increased. The dominant influence on H2 production was C2H4 decomposition. The present study derived the optimal operating conditions for increasing H2 production during plastic pyrolysis with molten metal catalysts.
NMR–based experimental study on basic physicomechanical properties of saline clay
Authors: He Mingyang , Zhou Fengxi , Wang Liye , Gao Fei 
Published: June 2024

Abstract

In this paper, the effect of salts (Na2SO4,NaCl) on the physicomechanical properties of clay was investigated using the volumetric flask test,Atterberg limits test, and the triaxial shear test, based on the microscopic perspective of pore scale analysis of soil by nuclear magnetic resonance scanning (NMR) technology. The results show that in Na2SO4 solution and NaCl solution, the decrease of double layer thickness and the increase of PH value caused by the increase of cation concentration are the main reasons for the gradual decrease of soil Atterberg limits,adsorbed bound water (ABW) content and shear strength. In addition, when the cation concentration is the same, SO2- 4 has a greater barrier effect like semi-permeable film than Cl−, which makes the double layer thickness of Na2SO4 solution thinner than NaCl solution, the Atterberg limits and ABW content is further reduced; Meanwhile, SO2- 4 has greater intergranular repulsion on the particle surface compared to Cl−, forming a larger pore structure further deteriorating the soil structure and reducing the soil shear strength. It provides more support for studying the effect of salt on the physical and mechanical properties of clay.
Secured Lightweight Encryption using Time-based Singular Value Decomposition (SVD) for Cyber-Physical Systems
Authors: Lavanya G , CH Vasanthkumar , Ragavendar Sanjay 
Published: June 2024

Abstract

Cyber-physical Systems (CPS) represent a pioneering category of IoT systems seamlessly integrating computing, communication, and physical components. These systems interact with the physical world, gather sensor data, interpret information, and regulate processes, facilitating real-time responses and efficient resource utilization across diverse domains such as healthcare, Industry 4.0, autonomous vehicles, and smart grids. However, the implementation of CPS presents multifaceted challenges including security and privacy, in-teroperability, scalability, real-time operation, data management, and energy efficiency. Security, in particular, emerges as a paramount concern due to the vulnerability of CPS to cyberattacks, which can yield severe real-world consequences including physical harm, environmental damage, or financial losses. Protecting sensitive data transmitted within CPS is imperative to thwart unauthorized access, data breaches, and malicious manipulation, especially considering their role in controlling critical infrastructure. Compliance with cybersecuri-ty regulations is essential, necessitating robust security measures throughout the CPS supply chain. Resilience against equipment failure, natural disasters, and cyber threats can be enhanced through redundancy, failover mechanisms, and incident response strategies. Given the computational constraints of CPS devices , the adoption of lightweight encryption algorithms is advocated to ensure data security without overwhelming limited processing power, memory, and energy resources. Effectively managing and upholding CPS necessitates a proactive approach towards implementing stringent security measures and remaining vigilant against evolving threats. In this research, a novel CPS encryption using a Time-based SVD algorithm is developed and tested on various current-generation hardware devices like Node MCU, Arduino, Raspberry Pi, and STM32WLE series controllers used in the Internet of Things (IoT) domain. The proposed security algorithm is compared on various attributes like latency, execution time, and energy consumption for executing the algorithm, and observed from the results that Node MCU outperforms the rest.
Common rules of the organization and architecture of cis-regulatory modules in the human and mouse genomes
Authors: Yuan Sisi , Ni Pengyu , Su Zhengchang 
Published: June 2024

Abstract

Background We have recently predicted comprehensive maps of cis-regulatory modules (CRMs) and constituent transcription factor (TF) binding sites (TFBSs) in the human and mouse genomes, enabling us to investigate the organization and architecture of the CRMs in both genomes.Results We reveal common rules of the organization and architecture of CRMs in the genomes. 1) The numbers and lengths of CRMs and genes on chromosomes are correlated with the sizes of chromosomes. 2) CRMs are unevenly but correlatedly distributed with genes along chromosomes. 3) The number of CRMs and genes within topologically associating domains (TADs) shows a stronger correlation than those in non-TAD regions. 4) CRMs are slightly biasedly distributed downstream of their nearest transcription start sites. 5) A considerable portion (~ 7%) of CRMs overlap core promoters, thus, CRMs can be classified into core promoter-containing (CPC) and core promoter-lacking (CPL) categories. 6) Most (> 90%) of core promoters overlap long CRMs, hence, they rarely exist alone. 7) CPC CRMs tend to be longer than CPL CRMs. 8) TFBSs exhibit extensive overlaps, forming longer TFBS islands. 9) TFBS islands comprise less than half of CRMs in length. 10) Spacers between TFBS islands are subject to similar evolutionary constraints as TFBS islands. Inter-TFBS spacers are less likely to overlap DNase I hypersensitive sites and TF footprints than TFBS islands, suggesting that they may play roles in transcriptional regulation other than direct TF binding.Conclusions The rules governing the organization and architecture of CRMs in the human and mouse genomes are highly conserved.
Polycatenated Architected Materials
Authors: Zhou Wenjie , Nadarajah Sujeeka , Li Liuchi , Izard Anna Güell , Prachet Aashutosh , Patel Payal , Yan Hujie , Xia Xiaoxing , Daraio Chiara 
Published: June 2024

Abstract

Architected materials derive their properties from the geometric arrangement of their internal structural elements, rather than solely from their chemical composition. They can display remarkable behaviors such as high strength while being lightweight1,2, negative Poisson’s ratios3,4, and shear-normal coupling5,6. However, architected materials so far have either exhibited solid-like1,2 or fluid-like behavior7,8, but not both. Here, we introduce a class of materials that consist of linked particles assembled in three-dimensional domains, forming polycatenated architected materials (PAMs). We propose a general framework for PAMs that translates arbitrary crystalline networks into particles’ concatenations and design particles’ geometry. The resulting materials are cohesive, yet the individual particles retain some kinematic freedom. In response to small external loads, PAMs behave like non-Newtonian fluids, showing both shear-thinning and shear-thickening responses. At larger strains, PAMs behave like solids, showing a nonlinear stress-strain relation, like lattices and foams. These responses are regulated by a jamming transition determined by the particles’ arrangement and the direction of loading. PAMs are scalable, showing comparable mechanical responses at both millimeter- and micrometer-scales. However, micro-PAMs can change shape in response to electrostatic charges. PAM’s properties are relevant for developing stimuli-responsive materials, energy-absorbing systems and morphing architectures.
Improving isolated word recognition rates using multiple common vectors and a majority vote algorithm
Authors: KESER Serkan 
Published: June 2024

Abstract

The Common Vector Approach (CVA) is a subspace classifier with significant success in isolated word recognition. However, when sufficient data is available, mixing the intra-class and inter-class subspaces can reduce recognition rates. To overcome this problem, a method is proposed in which Mel-Frequency Cepstral Coefficients (MFCC), Gammatone Frequency Cepstral Coefficients (GTCC), and i-vector features obtained from samples of classes in the database are divided into equal-sized clusters. This method reduces the number of features per class, thereby minimizing the mixing between intra-class and inter-class subspaces. Recognition is performed using the K-Nearest Neighbor (KNN), Support Vector Machines (SVM), Long Short-Term Memory (LSTM), and CVA classifiers by using Multiple Common Vectors (MCV) obtained per class as feature vectors. By using projection matrices, a test signal is assigned to k classes, and the most suitable class is selected with the proposed Majority Vote Algorithm (MVA). Thus, the probability of assigning a test signal, which is misclassified in classical CVA, to the correct class is increased with the proposed method. The results obtained are higher than those found with the classical CVA method. This study demonstrates the potential and superiority of the new method proposed for isolated word recognition. The developed method provides a more efficient and effective recognition system by increasing classification accuracy compared to the classical CVA.
Evaluating the Perioperative Outcomes of Laparoscopic Fundoplication in One Hundred Neurologically Impaired Patients : A Multicenter Retrospective Joint Study
Authors: Koga Yoshinori , Sugita Koshiro , Hashizume Naoki , Masui Daisuke , Higashidate Naruki , Nakame Kazuhiko , Onishi Shun , Torikai Motofumi , Ieiri Satoshi , Kaji Tatsuru 
Published: June 2024

Abstract

Background: Neurologically impaired patients (NIPs) with gastroesophageal reflux disease (GERD) require the fundoplication. Their postural feature such as scoliosis makes it more difficult to perform laparoscopic fundoplication. We aimed to clarify risk factors of laparoscopic fundoplication for NIPs and analyzed the perioperative impact of surgery performed by ESSQS-certified pediatric surgeons.
Methods: NIPs who underwent laparoscopic fundoplication were registered. First, we classified the patients according to age into the <18 years and ≥18 years groups, and then further classified them according to whether the procedure was performed by a board-certified pediatric surgeon. The evaluation endpoints were patient characteristics, acid reflux index, body mass index (BMI), Cobb angle, direction of the spinal curve, operative time, blood loss and postoperative outcomes.
Results: One hundred one patients underwent laparoscopic fundoplication. Blood loss in patients of ≥18 years of age was significantly higher than that in patients of <18 years of age. A multivariate regression analysis showed that BMI and Cobb angle were significant risk factors. According to the comparison by pediatric surgeons with or without board certification, there were no significant differences in perioperative factors.
Conclusion: We focused on BMI and Cobb angle as risk factors for intraoperative blood loss in NIPs during laparoscopic fundoplication.
Trade Policy Space, Patent Right Protection and Economic Complexity in Developing Countries
Authors: GNANGNON Sena Kimm 
Published: June 2024

Abstract

This articles explores how trade policy space affects economic complexity in developing countries, and whether this effect depends on the strength of patent right protection. The analysis has used an unbalanced panel dataset of 60 countries (of which 26 poor countries) over the period from 1991 to 2020. It has established that trade policy space exerts a negative effect on economic complexity in poor countries but influences it positively in non-poor countries. alike. More generally, the positive economic complexity effect of trade policy space is larger in countries with higher development levels. This effect materializes through the level of countries’ integration into global trade. The higher the level of integration into global trade, the larger is the positive effect of trade policy space on economic complexity. Last but not least, trade policy space promotes economic complexity in countries that strengthen their patent right protection.
JEL Classification: F13; F14; O14.
Data augmentation using conditional generative adversarial network (cGAN): applications for sewer condition classification and testing using different machine learning techniques
Authors: Woldesellasse Haile , Tesfamariam Solomon 
Published: June 2024

ABSTRACT
The increasing availability of condition assessment data highlights the challenge of managing data imbalance in the asset management of aging infrastructure. Aging sewer pipes pose significant threats to health and the environment, underscoring the importance of proactive management practices to enhance asset maintenance and mitigate associated risks. While machine learning (ML) models are widely employed to model the complex deterioration process of sewer pipes, they face performance limitations when trained on imbalanced condition grade data. This paper addresses this issue by proposing a novel approach using conditional generative adversarial network (cGAN) for data augmentation. By generating synthetic data for minority classes, the skewed distribution of the sewer dataset is balanced, facilitating more robust and accurate predictive models. The utility of the proposed method is evaluated by training different ML classifiers, including neural network (NN), decision tree, quadratic discriminant analysis, Naïve Bayes, support vector machine (SVM), and K-nearest neighbor. Quadratic discriminant, Naïve Bayes, NN, and SVM classifiers demonstrated improvement. The cGAN-based data augmentation method also outperformed two other data imbalance handling techniques, random under-sampling, and cost-sensitive NN. Consequently, data generated by cGAN can effectively aid asset management by developing proactive classifiers that accurately predict pipes at a high risk of failure.
Multitargeted Docking, DFT-Based Optimisation, Pharmacokinetics, and MD Simulation Reveal 6-Oxidopamine HBr as a Multitargeted Inhibitor of Cervical Cancer Proteins
Authors: Alghamdi Yossef Saeed , Mashraqi Mutaib M. , Alsalmi Ohud , Alharthi Afaf Awwadh , Gharib Amal F. 
Published: June 2024

Background:
Cervical cancer originates in the cervix, the lower part of the
uterus, and results from the uncontrolled growth of abnormal cervical cells, forming malignant
tumours. It poses a major global health challenge, calling for innovative drug design
strategies to enhance treatment outcomes.

Method:
In this study, we have screened the FDA-approved drug library against four
proteins, MCM10, MCM6, DNA polymerase epsilon subunit-2, and TBK1, which are essential
for DNA replication, DNA repair, and cellular signalling pathways, which are
dysregulated in cervical cancer cells, leading to uncontrolled growth. We have used the
multisampling algorithms for screening using HTVS, SP, and XP docking; identified 6-
oxidopamine HBr (C8H12BrNO3), which is used to create a model of Parkinson’s disease
in animals, and obtained the docking score ranging from -5.057 to -8.871 Kcal/mol. The
poses were filtered with MM\GBSA score ranging from -21.67 to -27.63 Kcal/mol. We
performed QM-based DFT and pharmacokinetics studies and compared them with the
standard values, suggesting that the compound can be used in cervical cancer proteins.

Result:
The P-L complex’s interaction fingerprints have resulted in the most interacting
residues, 4THR, 4SER, and 4LYS, showing the compound’s interaction pattern.

Conclusion:
Further, the stability of 6-oxidopamine HBr in complex with each protein
was evaluated with 100ns MD simulation in the SPC water model in a neutralised state
to analyse the deviation, fluctuations, and intermolecular interactions that have proven
the compound to have a better inhibitory effect against each protein and that it can be
used for cervical cancer; however, experimental validation is suggested before human
use.
Feasibility Study on Constructing Dosimetric Correlated Geometric Parameters
for Automatic Segmentation Evaluation
Authors: Zhang Yujie , Zhou Xin , Ji Weixing , Zhang Jianying 
Published: June 2024

Purpose:
To investigate the feasibility of constructing new geometric parameters that correlate well with dosimetric parameters.

Methods:
100 rectal cancer patients were enrolled. The targets were identified manually, while the organs at risk (bladder, small bowel, left and right femoral
heads) were segmented both manually and automatically. The radiotherapy plans were optimized according to the automatically contoured organs
at risk. Forty cases were randomly selected to establish the relationship between dose and distance for each organ at risk, termed “dose-distance
curves,” which were then applied to the new geometric parameters. The correlation between these new geometric parameters and dosimetric
parameters was analyzed in the remaining 60 test cases.

Results:
The “dose-distance curves” were similar across the four organs at risk, exhibiting an inverse function shape with a rapid decrease initially and a
slower rate at a later stage. The Pearson correlation coefficients of new geometric parameters and dosimetric parameters in the bladder, small
intestine, and left and right femur heads were 0.96, 0.97, 0.88, and 0.70, respectively.

Conclusions:
The new geometric parameters predicated on “distance from the target” showed a high correlation with corresponding dosimetric parameters in
rectal cancer cases. It is feasible to utilize the new geometric parameters to evaluate the dose deviation attributable to automatic segmentation.
Diagnostic Study of Nodular Pulmonary Cryptococcosis Based on Radiomic
Features Captured from CT Images
Authors: Huang Danmei , Wu Xiuting , Chen Siqi , Li Kai , Zhang Xiaobo , Pan Xiaoyu , Fu Liang , Lin Wenjun , Li Zefeng , Guan Xuechun 
Published: June 2024

Background:
Radiomics can quantify pulmonary nodule characteristics non-invasively by applying advanced imaging feature algorithms. Radiomic textural
features derived from Computed Tomography (CT) imaging are broadly used to predict benign and malignant pulmonary nodules. However, few
studies have reported on the radiomics-based identification of nodular Pulmonary Cryptococcosis (PC).

Objective:
This study aimed to evaluate the diagnostic and differential diagnostic value of radiomic features extracted from CT images for nodular PC.

Methods:
This retrospective analysis included 44 patients with PC (29 males, 15 females), 58 with Tuberculosis (TB) (39 males, 19 females), and 60 with
Lung Cancer (LC) (20 males, 40 females) confirmed pathologically. Models 1 (PC vs. non-PC), 2 (PC vs. TB), and 3 (PC vs. LC) were established
using radiomic features. Models 4 (PC vs. TB) and 5 (PC vs. LC) were established based on radiomic and CT features.

Results:
Five radiomic features were predictive of PC vs. non-PC model, but accuracy and Area Under the Curve (AUC) were 0.49 and 0.472, respectively.
In model 2 (PC vs. TB) involving six radiomic features, the accuracy and AUC were 0.80 and 0.815, respectively. Model 3 (PC vs. LC) with six
radiomic features performed well, with AUC=0.806 and an accuracy of 0.76. Between the PC and TB groups, model 4 combining radiomics,
distribution, and PI, showed AUC=0.870. In differentiating PC from LC, the combination of radiomics, distribution, PI, and RBNAV achieved
AUC=0.926 and an accuracy of 0.90.

Conclusion:
The prediction models based on radiomic features from CT images performed well in discriminating PC from TB and LC. The individualized
prediction models combining radiomic and CT features achieved the best diagnostic performance.
The Role of Betulin and its Derivative in Wound Healing and their Clinical
Properties
Authors: Zavaleta-Monestel Esteban , García-Montero Jonathan , Arguedas-Chacón Sebastián , Rojas-Chinchilla Carolina , Quesada-Villaseñor Ricardo , Murillo Renato 
Published: June 2024

abstract:
Currently, studies on various natural products that aid in wound healing have seen significant
growth. Betulin and its derivative, betulinic acid, are triterpenes abundant in the leaves and barks
of certain species, such as birch, which has been of particular interest. Clinical and preclinical studies
have demonstrated their ability to accelerate wound healing, as well as other properties such as antimicrobial,
anti-inflammatory action, and anti-cancer properties, and beneficial effects on HIV, diabetes
mellitus, and cardiovascular disorders. However, further research focusing exclusively on betulin
and betulinic acid is needed to better understand its therapeutic potential and develop new medications
for effective management. These advancements could greatly enhance the treatment of
wounds, skin lesions and other diseases, offering more effective and safer therapeutic options to improve
the quality of life of the population.