bluuebunny/crossref_metadata_2025_split huggingface dataset:
Towards Development of a Cloud-Connected IoT Forensic Model
Authors: Almolhis Nawaf Abdulaziz 
Published: October 2022

Abstract
Recent years have witnessed an increasing number of IoT-related cybersecurity incidents, which is mainly due to three reasons: immaturity of IoT security, extensive use of IoT technologies in various fields, and a dramatic surge in the number of IoT users (particularly, in case of cloud connected IoT (cloud-IoT) technologies). On the other hand, to execute forensic investigations that involve cloud-IoT environments, there is a need for knowledge and skill in different areas such as readiness, live and dead forensics. Though, accomplishment of this objective with the use of conventional approaches could be noticeably challenging. For that reason, it is must to develop a cloud-IoT forensic process model capable of guiding consumers before, during, and after the occurrence of an incident. The current paper is focused on developing a consumer-oriented process model. In addition, this study uses the Forensics Iterative Development Model (FIDM) to examine the effectiveness of the proposed model on a simulated cloud-IoT environment in reflecting two different cloud crime scenarios. The process of developing the model is elaborated in the paper. Considering the challenges extracted through a comprehensive literature review, this study defined the requirements that need to be satisfied by forensic process models aiming to make investigation within cloud-IoT environments. In this sense, the forensic process models introduced already in the literature were assessed on the basis of the requirements defined. Then, a set of inclusion criteria was formed for the evaluation of the conventional digital forensics process models so that we could mark out the best group of models that could have best contribution to developing the proposed model. The final output of the present paper was an innovative model called Cloud-IoT Forensic Process Model (CFPM) capable of taking into consideration the consumers’ perspectives. Finally, the CFPM performance was evaluated by implementing it on two case scenarios. The obtained results confirmed the high effectiveness of the proposed model in terms of performing the tasks defined.
Prevalence and antimicrobial susceptibility pattern of urinary tract infection among hospitalized children in a single center
Authors: Zhang Kaiping , Zhang Yin , Hao Zongyao , Chao Min 
Published: October 2022

Abstract
The aim of this study was to explore the prevalence and antimicrobial susceptibility pattern of UTI among hospitalized children in our center. Records were reviewed retrospectively to discern the urine culture tests and antibiotic susceptibility tests of children with UTI from January 2014 to December 2021. Consequently, a total of 840 hospitalized children with UTI were collected. The proportion of culture-positive UTI was 54.52% (458/840) with majority of the isolates being Gram-negative bacteria. There were 694 children with complicated UTI in those children. The proportion of culture-positive UTI was 397/694 (57.20%). Gram-negative bacteria mainly included Escherichia coli 121 (30.48%), Klebsiella pneumoniae 32(8.06%), Pseudomonas aeruginosa 20 (5.04%), Enterobacter cloacae 11 (2.77%) and Citrobacter 13 (3.28%). Escherichia coli isolates were highly sensitive to amikacin (95.87%), ertapenem (91.74%), nitrofurantoin (92.56%), imipenem (90.08%), and cefotetan (87.60%) and high rate of resistant were also detected to ampicillin (93.39%), cephazolin (76.03%), and ceftriaxone (73.55%). Klebsiella pneumoniae isolates showed sensitive to ertapenem (96.87%), amikacin (96.87%), imipenem (93.75%) and piperacillin-tazobactam (90.62%), while highly resistant were observed to ampicillin (96.87%), cephazolin (75.00%), and ceftazidine, ceftriaxone, aztreonam (each 62.50%). The isolated Gram-positive bacteria mainly contained Enterococcus faecalis (14.61%) and Enterococcus faecium (each 16.62%). Enterococcus faecalis were sensitive to vancomycin, penicillin-G, tigecycline, linezolid and nitrofurantoin (100%, 94.83%, 88.48%, 87.93%, 86.20, respectively) and resident to tetracycline (86.21%), quinupristin (84.48%), erythromycin (75.86%). Likewise, Enterococcus faecium were sensitive to vancomycin, linezolid, tigecycline, quinupristin (98.48%, 95.45%, 84.85% , 83.33%), while resident to ampicillin (93.94%), erythromycin (89.39%), penicillin-G (84.85%), and ciproﬂoxacin (77.27%). In addition, there were 146 children diagnosed simple UTI. The culture-positive UTI was 61/146 (41.78%). The predominant bacteria were Escherichia coli (73.77%, 45/61) followed by Enterococcus faecium and CoNS (each 6.56%). Escherichia coli were highly sensitive to ertapenem, imipenem, and cefotetan (each 100%), amikacin (95.56%) and nitrofurantoin (91.11%) and high rate of resistant were also detected to ampicillin (91.11%), and trimethoprimsulfamethoxazole (64.44%). Moreover, both UTI organisms showed a high multiple drug resistance frequency (80.98% and 77.05%). Culture and susceptibility test is vital for appropriate management of UTI in the study. Further large-scale studies are warranted to examine the generalizability of our findings.
Therapeutic potential of hydrogen gas in the reduction of vascular leakage using a 5-day neonatal hypoxic-ischemic piglet model
Authors: Htun Yinmon , Nakamura Shinji , Nakao Yasuhiro , Mitsuie Tsutomu , Ohta Kenichi , Arioka Makoto , Yokota Takayuki , Inoue Eri , Inoue Kota , Tsuchiya Toi , Koyano Kosuke , Konishi Yukihiko , Miki Takanori , Ueno Masaki , Kusaka Takashi 
Published: October 2022

Abstract
Neonatal hypoxic-ischemic encephalopathy (HIE) is a major cause of morbidity and mortality in newborns in both high- and low-income countries. The important determinants of its pathophysiology are neural cells and vascular components. In neonatal HIE, increased vascular permeability due to damage to the blood–brain barrier is associated with seizures and poor outcomes in both translational and clinical studies. In our previous studies, hydrogen gas (H2) improved the neurological outcome of HIE and ameliorated the cell death. In this study, we used albumin immunohistochemistry to assess if H2 inhalation effectively reduced the cerebral vascular leakage. Of 33 piglets subjected to a hypoxic-ischemic insult, 26 piglets were ultimately analyzed. After the insult, the piglets were grouped into normothermia (NT), H2 inhalation (H2), hypothermia (TH), and H2 with TH (H2-TH) groups. The albumin immunohistochemistry score was lowest in the H2 group and significantly lower than in the NT group, suggesting the ability of H2 gas alone to ameliorate HIE-associated vascular leakage. To prove the effectiveness of H2 in vascular leakage, further experimental studies of a specific insult severity and target cells are required.
Gemcitabine plus Oxaliplatin (GEMOX) combined with Atezolizumab and Bevacizumab for Advanced Biliary Tract Cancer: A Preliminary Observational Study
Authors: Wang Kang , Liu Zong-Han , Yu Hong-Ming , Cheng Yu-Qiang , Xiang Yan-Jun , Zhong Jing-Ya , Ni Qian-Zhi , Zhou Li-Ping , Liang Chao , Zhou Hong-Kun , Pan Wei-Wei , Guo Wei-Xing , Shi Jie , Lau Wan Yee , Cheng Shu-Qun 
Published: October 2022

Abstract
Background: Anti-PD-L1/VEGF inhibition, coupled with chemotherapy, may potentiate antitumor immunity leading to enhanced clinical benefit, but it has not been investigated in advanced biliary tract cancer (BTC). We investigated the efficacy and safety of gemcitabine plus oxaliplatin (GEMOX) combined with atezolizumab and bevacizumab for advanced BTC and explore the potential biomarkers related with response.
Patients and Methods: Advanced BTC patients, who received a triple combination therapy at three medical centers between March 18th, 2020 and Sep 1st, 2021, were included. Treatment response was evaluated via mRECIST and RECIST v1.1. Endpoints included the overall response rate (ORR), disease control rate (DCR), progression-free survival (PFS), overall survival (OS) and safety. The whole exome sequencing of pathological tissues was conducted for bioinformatic analysis.
Results: Thirty patients were enrolled ultimately in this study. The best ORR was 76.7% and the disease control rate was 90.0%. The median PFS was 12.0 months, and the median OS was not reached. During the treatment, 10.0% (3/30) patients suffered from ≥ grade 3 treatment-related adverse events (TRAEs). Furthermore, fever (73.3%), neutropenia (63.3%), AST and ALT level increased (50.0% and 43.3% respectively) are the most common TRAEs. Bioinformatics analysis revealed patients with altered ALS2CL had a higher ORR.
Conclusion: The triple combination of atezolizumab, bevacizumab and GEMOX is potentially efficacious and safe for patients with advanced BTC. The mutation of ALS2CL is a potential predictive biomarker for the efficacy of triple combination therapy.
Quetiapine effect on depressive-like behaviors, oxidative balance, and inflammation in serum of rats submitted to chronic stress
Authors: Grolli Roberta Eduarda , Bertollo Amanda Gollo , Benhenk João Paulo , Borba Laura de Araujo , Plissari Marcos Eduardo , Soares Silvio José Batista , Manica Aline , Joaquim Larissa da Silva , Petronilho Fabricia , Quevedo João , Bagatini Margarete Dulce , Réus Gislaine Zilli , Ignácio Zuleide Maria 
Published: October 2022

Abstract
Major depressive disorder (MDD) etiology is still not completely understood, and many individuals resist the traditional treatments. Chronic exposure to stressful events can contribute to development and progression and be involved in biological changes underlying MDD. Among the biological mechanisms involved, inflammatory changes and oxidative balance are associated with MDD pathophysiology. Quetiapine, a second-generation antipsychotic, induces a better therapeutic response in individuals refractory to traditional treatments. The main objectives of this research were: To evaluate the effect of chronic mild stress (CMS) on depressive-like behaviors, oxidative stress, and inflammation in adult rats; to evaluate the possible antidepressant, antioxidant and anti-inflammatory effects of quetiapine. The animals were submitted to CMS protocols. At the end of the CMS, the animals were submitted to a chronic treatment for 14 days with the following drugs: quetiapine, imipramine, and escitalopram. At the end of the treatments, the animals were evaluated in the open field tests, anhedonia (splash test), and forced swimming. The animals were euthanized after the behavioral tests, and serum samples were collected. Myeloperoxidase (MPO) activity and interleukin-6 levels were analyzed. CMS induced an increase in depressive-like behaviors, and quetiapine significantly reduced these behaviors. MPO activity and IL-6 levels increased in the serum of animals submitted to CMS. Quetiapine significantly reduced MPO activity and IL-6 levels. These results corroborate other evidence, indicating that chronic stress is a relevant phenomenon in the etiology of depression and suggesting that quetiapine induces an antidepressant effect because it reduces oxidative and inflammatory mechanisms.
Big Data for Housing and Their Interaction with Market Dynamics
Authors: Lee Jieun , Lee Kwan Ok 
Published: October 2022

Abstract

This paper is the first to analyze the interactions between the keywords of online home listings and housing market dynamics. We consider the COVID-19 outbreak as a natural shock that brought a significant change to work modes and mobility and, in turn, consumer preference changes for home purchases. We link two types of big data: the universal transaction data of resale public housing and the database of more than 70,000 listings from the major online platform in Singapore. Using the Difference-in-Difference approach, we first find that housing units with a higher floor level and more rooms have experienced a significant increase in transaction prices while close proximity to public transportation and the central business district (CBD) led to a reduction in the price premium after COVID-19. Our text analysis results, using the natural language processing, suggest that the online listing keywords have consistently captured these trends and provide qualitative insights (e.g. view becoming increasingly popular) that could not be uncovered from the conventional database. Relevant keywords reveal trends earlier than transaction-based data, or at least in a timely manner.
Time inhomogeneous quantum dynamical maps
Authors: Chruscinski Dariusz 
Published: October 2022

Abstract
We discuss a wide class of time inhomogeneous quantum evolution which is represented by two-parameter family of completely positive trace-preserving maps. These dynamical maps are constructed as infinite series of jump processes. It is shown that such dynamical maps satisfy time inhomogeneous memory kernel master equation which provides a generalization of the master equation involving the standard convolution. Time-local (time convolution-less) approach is discussed as well. Finally, the comparative analysis of traditional time homogeneous vs. time inhomogeneous scenario is provided.
The ECH capacities for the rotating Kepler problem
Authors: Mohebbi Amin 
Published: October 2022

Abstract
In this paper, I am going to use the Special Concave Troic Domain of the Rotating Kepler Problem [1] and compute the ECH capacities of the RKP for all energy less than or equal to the critical energy value, i.e. for all energy $c \leq - \dfrac{3}{2}$. To compute these ECH capacities, first we need to obtain the weights of the SCTD for the RKP, then find an order for the weights from the biggest to the lowest one.
From [1], we know that the SCTD is a Concave Toric Domain after applying the Ligon-Schaaf symplectomorphism [5] and Levi-Civita regularization [14] on the CTD. Thus, we can say the SCTD is a special case of the CTD which is rotated by 45 degree in the clockwise direction. The SCTD gives us a family of CTD's such that the energy parameter is less than or equal to the critical energy value. For Theorem A, we assume the energy $c \leq - \dfrac{3}{2}$ and try to obtain the weights to compute the ECH capacities of the RKP and explain all statements of the weight extension and also the method of getting the weights via the new tree [1]. For Theorem B, using the concepts and notations in Theorem A, we discuss the ECH capacities for the critical energy, i.e. $c = - \dfrac{3}{2}$ and we will prove that the first weight is the biggest weight.
Size matters - Amplified spontaneous emission limited by accumulation of dark excitons in thin quasi-2D perovskites
Authors: Chen Kai , Wagner Isabella , Gompel Wouter Van , Lutsen Laurence , Vanderzande Dirk , Chang Sheng Hsiung , Geiregat Pieter , Hodgkiss Justin 
Published: October 2022

Abstract
Two-dimensional lead halide perovskites have received much attention in the field of light emission and amplification due to their bright emission and synthetic tunability. Recently, mixed films comprised of perovskite grains with different layer thickness have been shown to act as carrier concentrators in light-emitting devices while outcompeting trap mediated recombination. However, it has been suggested that quasi-two-dimensional (Q2D) slabs stabilize the formation of unwanted triplet excitons, potentially resulting in parasitic nonradiative losses and the quenching of remaining bright singlet states. In our investigation on the effect of out-of-plane confinement on the ability to accumulate long-lived triplet excitons, ultrathin highly-confined domains were found to stabilize these dark states. The ensuing ultrafast annihilation of bright states was shown to outpace the energy transfer to the amplified spontaneous emission (ASE) sites, preventing the build-up of the critical carrier density for population inversion and lasing. Our results highlight the need to control the inorganic layer thickness in order to avoid the presence of highly excitonic slabs in the development of efficient Q2D perovskite films for optical gain applications.
Inflammation in the peripheral blood system of Crohn's Disease
Authors: Li Dan , Gu Wenyong , Xu Han , Zhang Zhiru , Zhao Chenhao , He Chunyan , Zhu Xueming , Li Yang 
Published: October 2022

Abstract
Background: Crohn's disease (CD) is an inflammatory bowel disease that is characterized by chronic inflammation of digestive system and has a nickname “green cancer” because of its sustained alternation of periods of flares and remissions. Here, we investigated the inflammation changes in peripheral blood system of CD patients, which are less reported in China.
Methods: Peripheral blood samples of 167 CD patients and 30 healthy people, as well as their clinical information, were collected at the Second Affiliated Hospital of Soochow University. Flow cytometry was performed to analyze the ratio of CD4 T cells to CD8 T cells. Cytometric Bead Array kit was used to detect the cytokines in peripheral blood in CD patients. Moreover, the expression of inflammasomes was also detected by RT-PCR.
Results: The percentage and cell number of lymphocytes in CD patients’ peripheral blood system decreased significantly, while monocytes increased remarkably. Interestingly, there was an inversion of the CD4 T cells/CD8 T cells ratio in peripheral blood of CD patients. The levels of IL-6 and TNF-α increased significantly in CD patients’ peripheral blood, and LPS stimulation aggravate inflammatory response. In addition, the expression of NLRP1 and NLRP3 in peripheral blood mononuclear cells (PBMC) of CD patients increased significantly after LPS stimulation.
Conclusions: The inflammation in peripheral blood of CD patients had significant changes, including PBMC, cytokines and inflammasomes. These results are helpful to get a deeper understanding of CD and improve the efficiency of diagnosis and treatment in China.
The flow hydrodynamics around a single and side by side cylinders using LES and RANS
Authors: Gazi Ainal Hoque , Hussain Md. Muzakkir , Abdul Ashu 
Published: October 2022

Abstract
A comparative study of the flow hydrodynamics around two cylinders, simulated using Reynolds Averaged Navier Stokes (RANS) and Large Eddy Simulation (LES), are investigated in this paper. Numerical simulation results of the flow field around a single cylinder and side by side cylinders have been carried out using OpenFOAM toolbox for both circular and square cylinders. The computational flow domain of 26D × 20D × 3D in streamwise, spanwise and vertical directions is considered, respectively. Simulations are performed for four different values of Reynolds numbers, Re = 253, 12674, 25348, and 126746 (representing the change of the flow from laminar to turbulent) and for three different gap ratios between the cylinders, S/D = 2, 3, and 4. Grid convergence studies are carried out for the concerned geometry. Effect of Reynolds number and gap ratios on horseshe vortex, wake vortex, and streamlines are explored. At low Reynolds number and low gap ratio, flow regimes around a single cylinder are noticed different from side-by-side cylinders, because of the interaction of the flow with two cylinders. However, at higher Reynolds numbers and gap ratios, the flow pattern is observed to be independent of the spacing between the cylinders. The LES model exhibited better accuracy when compared to the RANS in describing the flow hydrodynamics. The OpenFOAM results are validated against the existing data available in the scientific literature.
Predictive Value of acoustic cardiography for post-PCI early ventricular remodeling in acute myocardial infarction patients
Authors: Wang Wei﹣Wei , Hao Hai-Zhen , Fan Ting﹣Ting , Yue Jia , Wang Ming﹣Yang , Chen Mo﹣Shui , Deng Guo-lan , Si Liang﹣Yi , Zhang Fu﹣Wei 
Published: October 2022

Abstract
To investigate the clinical value of SDI,EMATc,BNP in the predictive of post-PCI early ventricular remodeling (EVR) in patients with acute myocardial infarction (AMI). 161 patients with asymptomatic acute anterior wall myocardial infarction after PCI were involved; BNP and acoustic cardiography were performed in pre-operation, Color Doppler echocardiography was performed after 72 hours. The patients were divided into two groups, which were the EVRgroup (EF% < 50%, EVR) and the normal left ventricular systolic function group (EF% ≥ 50%, Non- EVR). EMATc、SDI、BNP were independent risk factors for post-PCI EVRin patients with AMI [SDI (OR 15.924, 95% CI 3.649-69.491, p≤0.001) ,EMATc (OR 2.319, 95% CI 1.447-3.719, p＜0.001 ) and BNP (OR 1.075, 95% CI 1.018-1.134,p=0.009)]. The area under the ROC curve (AUC) for EMATc was 0.89, with an optimal cutoff point of 12.2, EMATc produced a sensitivity of 80% and a specificity of 83%; whereas, with an optimal cutoff point of 100pg/ml, BNP produced a sensitivity of 46% and a specificity of 83%. EMATc、BNP、SDI have good predictive value for the occurrence of EVR in patients with asymptomatic acute anterior wall myocardial infarction after PCI.
Survival benefit of radiotherapy in patients with inoperable hepatocellular carcinoma: a propensity score matching study
Authors: Zeng Hao , Su Ke , Chen Xiaojing , Li Xueting , Wen Lianbin , Song Yanqiong , Chen Lan , Guo Lu , Han Yunwei 
Published: October 2022

Abstract
Background
In recent years, with the development of radiotherapy (RT), several studies have shown that RT can significantly prolong the survival of hepatocellular carcinoma (HCC) patients. As a noninvasive treatment option, the application of RT for HCC is gradually gaining attention.
Patients and methods:
This retrospective study included data from 13,878 patients with HCC collected from the SEER database between 2000 and 2019 and 325 patients with HCC treated in three tertiary hospitals in China between 2015 and 2021. Patient data were divided into RT and non-RT groups based on whether the patients had received RT. Propensity score matching (PSM) analysis was used to minimize the deviation between the RT and non-RT groups, and the Kaplan-Meier method and Cox proportional hazard model were used to assess the efficacy of receiving RT.
Results
The median overall survival (mOS) was significantly longer in the RT group than in the non-RT group for SEER data (16 months vs 9 months, p < 0.01). Similarly, the survival benefit was more significant in the RT vs non-RT groups of patients at our hospitals (34.1 months vs 15.4 months, p < 0.01). In addition, multivariate Cox analysis showed that factors such as tumor (T) stage, patient age, tumor grade, serum AFP level and chemotherapy also affected patient survival. Subgroup analysis of these factors showed that RT was effective in prolonging patient survival in different populations.
Conclusion
RT significantly improves the survival time of patients with inoperable HCC, providing a basis for selecting HCC patients who will benefit from RT.
Optimized Machine Learning Algorithms to predict wear behavior of Tribo- Informatics
Authors: Hulipalled Poornima , Lokesha V 
Published: October 2022

Abstract
Wear rate prediction is most important in industrial applications. Machine learning (ML) has made an admirable contribution to the field of tribology. Standard ML models are extremely dependent on the parameter values; hence, tuning plays a crucial role in enhancing predictive performance. ML models largely work empirically, based on the data availability and application domain, the parameter tuning process effectively attains the desired accuracy of the models. The main aim of this study is to develop optimized ML models which render better accuracy than the previous study by using a grid search hyperparameter optimization technique. Five ML models namely Random Forest (RF), Support Vector Machine (SVM), K- Nearest Neighbor (KNN), Gaussian Process Regression (GPR), and Linear Regression (LR) are designed by tuning the parameters which lead to the optimization of models concerning the prediction accuracy.