bluuebunny/crossref_metadata_2025_split huggingface dataset:
Studies on the Effect of Curcumin and Quercetin in the Liver of Male Albino Rats Exposed to Gamma Irradiation
Authors: Ali Said A. , Azzoz Rady M. , Soliman Saeed M. , Abdelrahman Ibrahim Y. , Khalil Wafaa M. , El-Hady Amr M. Abd 
Published: June 2023

Abstract
Ionizing radiation produces deleterious effects on living organisms. The present investigation has been carried out to study the prophylactic as well as the therapeutic effects of treated rats with quercetin (Quer) and curcumin (Cur) which are two medicinal herbs known for their antioxidant activities against damages induced by whole-body fractionated gamma irradiation. Exposure of rats to whole-body gamma irradiation induced a significant decrease in erythrocyte (RBC), leukocyte (WBCs), platelets count (Plt), hemoglobin concentration (Hb), hematocrit (Hct %), mean erythrocyte hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and mean erythrocyte volume (MCV), high increase in plasma Thiobarbituric acid reactive substances (TBARS), non-significant statistical decrease in the mean value of serum glutathione (GSH), with a significant increase in plasma alanine transferase (ALT), aspartate transferase (AST), alkaline phosphates (ALP), serum total protein, serum total cholesterol levels, total triglycerides levels, high-density lipoprotein (HDL) and low-density lipoprotein (LDL) levels with marked histological changes and structural changes measured by Fourier Transform Infrared (FTIR). Applying both quercetin and curcumin pre- and post-exposure to gamma-radiation revealed a remarkable improvement in all the studied parameters. The cellular damage by gamma radiation is greatly mitigated by the coadministration of curcumin and quercetin before radiation exposure.
Classification and Interpretation of ECG Arrhythmia through Deep Learning Techniques
Authors: A Shobanadevi , T Veeramakali 
Published: June 2023

Abstract
Digitizing healthcare systems is highly essential to identify diseases at an early stage and thus preventing any catastrophes regarding people’s health. One such critical health issue that requires attention in its initial stages itself is Arrhythmia. The research carried out in this paper mainly focuses on Arrhythmia classification and proposes a model to classify ECG signals into different classes of Arrhythmia based on the AAMI standard along with model interpretation. The benchmark ECG MIT-BIH Arrhythmia dataset has been used for training and testing purposes throughout the research. This research proposes the use of various deep learning and data sampling techniques like CNN, RNN, oversampling and under sampling methods in order to build the model that is to be used for Arrhythmia classification. This proposed CNN model outperforms the existing models in terms of different metrics like accuracy, precision, recall, f1-score and reduced prediction time of a sample from 6.23 seconds to 2.09 seconds.
Development of an SNMP v3 agent for user modelling in LAN environments for thin films by using Dynamic systems modelling
Authors: Mohamad A.A.Hamad , Ahmed Faris Maher 
Published: June 2023

Abstract
This article presents the development of an SNMP v3 agent for user modelling in LAN environments. This agent establishes SNMP communications both with the network managers in charge of configuring the modelling process and with the users from whom it collects information contained in the MIBs (Management Information Base) to find a pattern that characterizes their behaviour. This information will be processed and analyzed by a neural network type SOM (Self Organizing Map), which will allow, after the learning process, the detection of anomalies concerning the normal behaviour of the user. Both the parameters to be configured to define the modelling of each user and the results of the agent's supervision are collected in the modelling MIB contained in the proposed agent. In this way, the developed agent provides a unique tool to model all the users of the same LAN network and constitutes a fully integrated system in the SNMP architecture. Finally, a test scenario is presented for the application of the intrusion detection of the proposed agent.
Control Dynamic System and Qos Manager Agent Over Ipv6 Networks: Intserv and Diffserv Approach in Access Nodes
Authors: Mohamad A.A.Hamad , Hussein Husam Abdulhameed 
Published: June 2023

Abstract
In the last ten years, the growth of IP-based data networks has led to the creation of new applications, which in turn have led to more data being sent. But the bandwidth of intradomain and interdomain transport networks has not grown at the same rate. In the last decade, the growth of IP-based data networks has led to the development of new applications that have increased the amount of data that can be sent. But the bandwidth of both intra-domain and inter-domain transport networks has not grown at the same rate. The present work is to look at how to provide QoS, which is a problem that is currently being looked into and for which there is no clear process or algorithm for a solution. A model that takes advantage of the features of the IPv6 protocol is also being used to find a solution. IPv6 is a very important protocol for the growth and development of Internet services and for supporting new services. But IPv6 doesn't have QoS in and of itself, even though it has different fields. This research aims to solve the QoS problem by trying to find the best way to combine the areas that IPv6 offers. The QoS manager agent was tested with MPLS in a congestion scenario. As a result, the values for jitter and delay for the highest priority flows got a lot better. High-priority flows are those that carry real-time traffic that can't handle delays or packet loss. The fact that the QoS manager agent didn't lose more than 3% of all packets, no matter how much traffic came into the node, shows that priority traffic is protected against network congestion problems. This feature is not present in the MPLS scenario, and as traffic grows, packet loss also grows. The QoS manager agent makes these characteristics better, but it makes them worse in low-level flows. Low-priority flows, on the other hand, are things like web browsing, file transfers, etc., that don't care much about time. The way these flows work is based on connection-oriented protocols like TCP. When packets are lost, the anti-congestion features of this protocol are turned on. The QoS manager agent doesn't have any way to measure incoming flows. This means that high throughput flows can fill up the classes, which goes against management policies, causes packet loss, and changes delay and jitter parameters. To improve the performance of the QoS manager agent in the future, it is suggested that a QoS provisioning protocol be created between a host and a border router. This would allow the agent to have more control over the flows that enter it and would improve the agent's performance.
Intravenous lipid emulsion for local anaesthetic systemic toxicity in pregnant women: A scoping review
Authors: Tsuji Makoto , Nii Masafumi , Furuta Marie , Baba Shinji , Maenaka Takahide , Matsunaga Shigetaka , Tanaka Hiroaki , Sakurai Atsushi 
Published: June 2023

Abstract
Background
Local anaesthetic systemic toxicity (LAST) is a rare but life-threatening complication that can occur after local anaesthetic administration. Various clinical guidelines recommend an intravenous lipid emulsion as a novel treatment for local anaesthetic–induced cardiac arrest. However, its therapeutic application in pregnant patients has not yet been established. This scoping review synthesises evidence on the efficacy and safety of intravenous lipid emulsion for treating LAST during pregnancy.
Method
We searched electronic databases (Medline, Embase and Cochrane Central Register Controlled Trials) and a clinical registry (lipidrescue.org) from inception to Sep 30, 2022. No restriction was placed on the year of publication or the language. We included any study design containing primary data on maternal patients with signs and symptoms of LAST.
Results
After eliminating duplicates, we screened 8,370 titles and abstracts, retrieving 41 full-text articles. We identified 22 women who developed LAST during pregnancy and childbirth, all presented as case reports or series. The most frequent causes of LAST were drug overdose and intravascular migration of the epidural catheter followed by wrong-route drug errors (i.e. intravenous anaesthetic administration). Of the 15 women who received lipid emulsions, all survived and none sustained lasting neurological or cardiovascular symptoms related to LAST. No adverse events or side effects following intravenous lipid emulsion administration were reported in mothers or neonates. Two of the seven women who did not receive lipid emulsions survived with no neurological or cardiovascular sequelae; however, the other two died.
Conclusion
Studies on the efficacy and safety of lipids in pregnancy are scarce. Further studies with appropriate comparison groups are needed to provide more robust evidence. It will also be necessary to accumulate data—including adverse events—to enable clinicians to conduct risk-benefit analyses of lipids and to facilitate evidence-based decision-making for clinical practice.
Atomic-scale Chemical Imaging of Amphoteric Dopant in Ferroelectric BaTiO3
Authors: Jeong Hyejin , Lee Daehee , Jung Dongjun , Wang Zhipeng , Lee Jung Ho , Oh Sang Ho 
Published: June 2023

Abstract
Dopants are typically added to semiconductors or functional oxides to substitute specific atomic sites and thereby generate electronic and/or ionic charges. In multilayered ceramic capacitors (MLCCs), various dopants are co-doped in ferroelectric BaTiO3 thin films, with each dopant substituting a specific atomic site of BaTiO3 for specific function. In particular, rare-earth elements such as Dy, which have a formal ionic charge of 3+, can act as either electronic donor or acceptor depending on the doping sites. The unique capability of Dy to occupy both Ba (A-site) and Ti (B-site) of BaTiO3, known for its amphoteric behavior, plays a crucial role in the charge transport, which in turn affects the leakage current characteristics governing the reliability of MLCCs. Here we show that the site occupancy of the amphoteric dopant Dy in BaTiO3 can be determined unambiguously through atomic-scale chemical imaging using scanning transmission electron microscopy (STEM) energy dispersive X-ray spectroscopy (EDS). Three types of MLCC devices were investigated, which were made with different BaTiO3 powders synthesized by hydrothermal, co-precipitate, and solid-state reaction methods. Quantitative analysis of the A- and B-site occupancy of 1.4 at% Dy in each sample was systematically conducted using atomic-resolution STEM-EDS. The measured X-ray counts were interpreted quantitatively with the aid of EDS simulation that takes into account the electron channeling effects. The A/B-site occupancy determined for the three samples conforms with their bulk device characteristics with high confidence. This study paves the way for atomic-scale dopant analysis that bridges the bulk characteristics of electronic devices, which helps establish a strategy for the design of doping materials and their processes.
Intra-crustal Mantle in the Himalayan-Tibetan Orogen
Authors: Pilia Simone , Bouilhol Pierre , Menant Armel , Ostorero Léa , Vaes Bram , Esposito Rosario , Garzanti Eduardo , Muller Veleda , Cloetingh Sierd , Gerya Taras , Sternai Pietro 
Published: June 2023

Abstract
The Himalayan-Tibetan mountains raised due to doubling of the continental crust during the India-Asia collision, which is often assumed to have occurred by underthrusting of the Indian crust directly below the Asian crust. However, this model scenario requires very weak continental lithospheres, resulting in a collision system that is difficult to reconcile with several first-order features of the Himalayan-Tibetan orogenic architecture. Here, we present results from a new extensive set of state-of-the-art numerical petrological-thermo-mechanical experiments of continental collision/subduction that account for relatively stiffer plates and generates elevation and first-order structures consistent with observations. In these models, crustal doubling systematically occurs by viscous underplating of the subducting crust underneath the rigid upper-plate lithospheric mantle. The mantellic signature in hydrothermal fluids outflowing the suture zone, the geochemistry of south Tibetan ultramafic magmas and xenoliths, long-wavelength buckling of Tibet, and pre-existing seismological constraints further support the presence of interlayered mantle between the Indian and Asian crusts. The reconciliation of our results with existing geophysical and geological data bears profound implications for our understanding of crustal doubling and mountain building during continental collision/subduction.
A comparative study of the disease burden of COPD attributable to PM2.5 in China, Japan, and South Korea from 1990 to 2019
Authors: Cheng Xiao-Fen , Min Shu-Hui , Guo Rui-Qi , Zhang Jin-Dan , Zhang Yi-Li , Li Bei 
Published: June 2023

Abstract
Background: Particulate matter pollution (PM2.5) is a major cause of air pollution and an important risk factor for chronic obstructive pulmonary disease (COPD). The COPD disease burden situation in East Asia is severe, and China, Japan, and South Korea are the three largest economies in East Asia. We hope to reveal the changing trends of COPD disease burden attributable to PM2.5 and its age, period, and cohort effects in three typical East Asian countries to provide a reference for public health planning.
Methods: We analyzed trends in change based on GBD2019 using JoinPoint regression models and the effect of age, period and cohort on the disease burden of COPD attributable to PM2.5 using age-period-cohort models.
Results: From 1990 to 2019, except for the global age-standardized mortality rate (ASMR) of COPD attributable to ambient particulate matter pollution (APM) for all genders, all other ASMRs showed a downward trend. All were decreasing except for the age-standardized DALY attributed to APM for females in global. Mortality of COPD attributable to PM2.5 increases with age in Korea and Japan. Mortality of COPD attributable to PM2.5 peaks in the 85-90 year age group and then declines in global. Mortality of COPD attributable to PM2.5 in China declines after peaking in the 90-95 year age group. Mortality of COPD attributable to PM2.5 decreased over time in China, Korea, and global, while it increased in Japan from 2015 to 2019. In China, Japan, and global, mortality of COPD attributable to PM2.5 was lower the later the birth, while in Korea it decreased after a small increase in the 1900-1910 cohort.
Conclusion: Most COPD disease burden attributable to PM2.5 is on the decline; Large regional differences in COPD disease burden attributable to PM2.5; The risk of COPD due to HAP and APM differed in different areas; COPD mortality attributable to PM2.5 both increased with age and decreased with time and cohort. Countries in Asia with a high COPD disease burden attributable to PM2.5 should develop targeted measures to control local PM2.5 according to pollutant type and age group to reduce the COPD disease burden caused by PM2.5 according to local conditions.
Association between the triglyceride-glucose index and the risk of cardiovascular disease in Kurdish adult: Result from RaNCD cohort study
Authors: kamari negin , Fateh Hawal Lateef , Darbandi Mitra , Najafi Farid , Bonyani Mitra , Shakiba Ebrahim , Pasdar Yahya 
Published: June 2023

Abstract
Background: The triglyceride-glucose (TyG) index, a consistent content for insulin resistance, has been related to cardiovascular disease (CVD). We aimed to perused the relationship between the TyG index and development of CVD in Kurdish adults.
Methods: In this cross-sectional study, data was used from the Ravansar Noncommunicable Diseases (RaNCD) Cohort Study. Subjects with a history of stroke, myocardial infarction, or coronary artery disease, or who were currently receiving medications for these conditions, were classified as CVD patients.
Results: The research comprised 9723 individuals overall (51.76% of whom were female, mean age 47.3 ±8.26 year). We found that the TyG index in CVD patients (8.82±0.81) was substantially higher than that in non-CVD patients (P=0.001), and the top quartile of the TyG had significantly more BMI (28.73±4.20), TG (239.45±103.30), and FBS (117.85±50.36) values than the lowest quartiles (P=0.001). The TyG and CVD showed a positive association according to the cohort data. The chances of CVD were 2.54 (95% CI: 2.16-2.98) times higher in the fourth tertile of the TYG index than in the first tertile. After controlling for confounding factors, their association was still significant (OR: 1.58, 95%Ci: 1.35-1.95). The predictive value of the TYG score was 63% for females and 57% for males, according to ROC curve research.
Conclusion: According to the findings, risk of cardiovascular disease was linearly correlated with the triglyceride glucose index. Moreover, the TyG may be more accurate predictor of CVD in female.
Improved Tree Dimensional DV-Hop Protocol for Large Scale Range-Free Wireless Sensors Network
Authors: liouane oumaima , Amdouni Rim , Hajjaji Mohamed Ali , ABDELALI Abdessalem BEN 
Published: June 2023

Abstract
Location plays a crucial role in many applications of Wireless Sensor Networks (WSNs), and accurate sensor localization is an important aspect of the acquired data. While connectivity algorithms are commonly used for localizing multi-hop WSNs because their simplicity and acceptable accuracy, their effectiveness can be limited in two-dimensional (2D) or three-dimensional (3D) environments. An analytic model that incorporates hop size quantization and the Recursive Least Squares (RLS) method can be advantageous for Range-Free 3D wireless sensor networks (WSNs) in localization. This approach reduces computational complexity, memory requirements, and localization errors. The third dimension significantly impacts localization accuracy, necessitating the development of effective self-localization algorithms for 3D WSNs. This article introduces a novel probabilistic quantization technique for hop sizes in 3D-WSNs, specifically designed to address the uniform distribution of sensor nodes. The RLS method is employed as an adaptive filtering algorithm to recursively estimate the positions of sensor nodes in the system by minimizing the sum of squared errors between actual measured values and predicted values. Through extensive simulations conducted in isotropic settings under various conditions, the proposed algorithms are evaluated based on their average localization error performance. The simulation data clearly demonstrate that the suggested localization algorithm outperforms previous 3D-DV-Hop heuristics in terms of accuracy. The proposed localization method for 3D-WSNs successfully decreases the average localization error of nodes and achieves superior location accuracy when utilizing predicted hop quantization for hop-size estimation and the RLS algorithm for position estimation compared to competing approaches.
Predicting health effects of food compounds via ensemble machine learning
Authors: Mei Suyu 
Published: June 2023

Abstract
Identifying chemical compounds in foods and assaying their bioactivities significantly contribute to promoting human health. In this work, we propose a machine learning framework to predict 101 classes of health effects of food compounds at a large scale. To tackle skewedness of class distributions commonly encountered in chemobiological computing, we adopt random undersampling boosting (RUSBoost) as the base learner. In this framework, all chemical molecules including food compounds, natural products and drugs are encoded into MACCSKeys similarity spectrums to define the fingerprint similarities of functional subgroups between molecules of interest with predefined template molecules. Five-fold 5-fold cross validation shows that RUSBoost learners encouragingly reduces model biases. Independent tests on external data show that the proposed framework trained on food compounds generalizes well to natural products (0.8406 ~ 0.9040 recall rates for antibacterial, antivirals, pesticide and anticancer effects) and drug molecules (0.789 ~ 0.9690 recall rates for antibacterial, antiviral, antineoplastic and analgesic effects). Furthermore, dozens of novel effects have been validated against recent literature, convincingly demonstrating knowledge transferability between food compounds, plant or microbial natural products and drugs. Especially, evidences show that the proposed framework helps us to repurpose drugs or find lead compounds for anticancer therapies and bacterial drug resistance. Lastly, we attempt to use the proposed framework to unravel beneficial and risky health effects of food flavor compounds, which potentially benefits recipe composing.
Long-term Survival Outcomes in Patients with Locally Advanced Breast Cancer after Total Mastectomy with or without Breast Reconstruction: A Seer-based Analysis
Authors: Heng Zhang , AiJie Zhang , Tingting Wei , Hongbo Huang , Yunhai Li , Fan Li 
Published: June 2023

Abstract
Background: There is ongoing debate about the safety of breast reconstruction for patients with locally advanced breast cancer (LABC) who have undergone total mastectomy (TM). More and more LABC patients are undergoing breast reconstruction after TM, but its long-term survival outcomes remain unclear. This study aims to compare the survival outcomes of LABC patients who underwent breast reconstruction after TM with those who did not, based on a large sample.
Methods: We collected data for all LABC patients who underwent TM with or without breast reconstruction in the Surveillance, Epidemiology, and End Results (SEER) database. We divided patients into two groups: TM group and total mastectomy with reconstruction (TM+R) group. The primary outcomes were overall survival (OS) and breast cancer-specific survival (BCSS). Propensity score matching (PSM) analysis was used to eliminate imbalances of baseline data between the in tow groups. Data were analyzed using chi-square tests, Kaplan-Meier methods, and univariate and multivariate cox regression analyses.
Result: We identified 39,112 eligible patients (33,169 patients received TM and 5,943 received TM+R), and 8,680 patients were matched after PSM (4,340 patients received TM and 4,340 received TM+R). Patients with middle age, white, married, lived in urban, IIB-IIIA stage, invasive ductal carcinoma(IDC), pathological grade II-III, hormone receptor positive, and undergone chemotherapy were more likely to receive breast reconstruction. After PSM, Kaplan-Meier survival analysis showed better OS and BCSS in the TM+R group versus the TM group (OS:P<0.001; BCSS: P=0.008). Multivariate cox regression analysis showed that TM+R significantly improved OS and BCSS (OS: hazard ratio (HR) 0.73, 95% CI [0.68,0.79], P<0.001; BCSS: 95% CI [0.79,0.94], P=0.001). Subgroup analysis showed that patients with old age, white, and hormone receptor positive had better OS and BCSS by TM+R compared to TM.
Conclusions: Breast reconstruction after total mastectomy is associated with better OS and BCSS in patients with LABC.