bluuebunny/crossref_metadata_2025_split huggingface dataset:
Irregular Rupture Process of the 2022 Taitung, Taiwan, Earthquake Sequence
Authors: Yagi Yuji , Okuwaki Ryo , Enescu Bogdan , Lu Junjie 
Published: November 2022

Abstract
In September 2022, two destructive earthquakes of moment magnitude (Mw) 6.6 (foreshock) and 7.1 (mainshock) occurred in Taitung County, south-eastern Taiwan. To understand their complex rupture processes, we analysed these earthquakes using the Potency Density Tensor Inversion method, which can stably estimate the rupture propagation process, including fault geometry, without overfitting the data. The analyses revealed that the major rupture of the foreshock propagated towards shallow depth, in a south-southwest direction, following an initial rupture that propagated towards the deeper part of the fault. The mainshock, with its epicentre on the north-northeast side of that of the foreshock, consists of two distinct episodes. During the first episode (0–10 s), the initial rupture propagated north-northeast, through a deep path, followed by the main rupture that propagated bilaterally in a north-northeast and south-southwest direction. The second rupture episode (10–16 s) started near the hypocentre of the mainshock, and the rupture propagated towards the shallow side of the fault. The results suggest that the stress concentration from both the foreshock and mainshock’s first rupture episode may have caused the second rupture episode in the high fracture surface energy area between the foreshock and the first rupture episode of the mainshock. The irregular rupture process of the foreshock and mainshock may reflect the heterogeneity of stress and structure in the source region.
Dynamics of COVID-19 models with asymptomatic infections and quarantine measures
Authors: Guo Songbai , Xue Yuling , Li Xiliang , Zheng Zuohuan 
Published: November 2022

Abstract
Considering the propagation characteristics of COVID-19 in different regions, the dynamics analysis and numerical demonstration of long-term and short-term models of COVID-19 are carried out, respectively. The long-term model is devoted to investigate the global stability of COVID-19 model with asymptomatic infections and quarantine measures. By using the limit system of the model and Lyapunov function method, it is shown that the COVID-19-free equilibrium V 0 is globally asymptotically stable if the control reproduction number Rc < 1 and globally attractive if Rc = 1, which means that COVID-19 will die out; the COVID-19 equilibrium V∗ is globally asymptotically stable if Rc > 1, which means that COVID-19 will be persistent. In particular, to obtain the local stability of V∗ , we use proof by contradiction and the properties of complex modulus with some novel details, and we prove the weak persistence of the system to obtain the global attractivity of V∗ . Moreover, the final size of the corresponding short-term model is calculated and the stability of its multiple equilibria is analyzed. Numerical simulations of COVID-19 cases show that quarantine measures and asymptomatic infections have a non-negligible impact on the transmission of COVID-19
2020 MSC: 34D23, 37N25, 92D30
Machine Learning based Business Risk Analysis for Big Data: A Case Study of Pakistan
Authors: Butt Zunaira , Nazir Mohsin , Ahmad Ovais , Jurcut Anca 
Published: November 2022

Abstract
In finance, machine learning helps the business by improving its abilities and flexibility to prevent risks, errors and to accept such challenges. This research analyses and forecasts the interest rate risk of Pakistan using machine learning models. It took the financial dataset of 10 years Pakistan investment bonds from the State Bank of Pakistan website. In this study, a framework was proposed and four different models were developed to forecast the interest rates: Neural Network, Bootstrap Aggregated Regression Trees, Cascade-Forward Neural Network, and Radial Basis Neural Network. Subsequently, these models were run under four different scenarios: Forecasting with Original, Generated, LASSO extracted and Weighted Average features. In addition, the outcomes of these models were compared with four performance metrics: Mean Absolute Percentage Error, Daily Peak Mean Absolute Percentage Error, Mean Absolute Error, and Root Mean Square Error. Overall, the results showed that Radial Basis Neural Network provided the best forecasting.
Heterogeneous Parallel Implementation of PSO Algorithm with an Aging Leader and Challengers
Authors: Yazdanpanah Fahimeh 
Published: November 2022

Abstract
Parallel computing techniques provide high-performance execution of large-size and real-world complicated problems such as heuristic optimization algorithms. One of the most popular optimization algorithms is PSO (particle swarm optimization) which is an intelligent search method for finding the best solution according to population state. The PSO algorithm has obtained significant attention from researchers and different parallel implementations of this algorithm have been presented for intensive-computing applications. The ALC-PSO algorithm (PSO with an aging leader and challengers) is an improved population-based and intensive-computation procedure thanks to the high fitness analyses. Compared to the traditional PSO, the ALC-PSO algorithm improves convergence rapidity. In this paper, we have developed a novel heterogeneous parallel implementation of the ALC-PSO algorithm using OmpSs and CUDA, for execution on both CPU and GPU cores. OmpSs is a task-based parallel programming model that uses runtime system and hardware for automatic exploiting and managing parallelisms. Combination of OmpSs with CUDA helps developers accelerate their applications running on both CPUs and GPUs. The results demonstrate that the proposed approach (i.e., the OmpSs-CUDA implementation of the ALC-PSO algorithm) provides higher performance than the serial, and also the CUDA-based parallel implementations of the ALC-PSO algorithm.
High gain Antenna Design for 6G wireless Applications
Authors: Vyas Narayan Krishan , Salim Mohammad 
Published: November 2022

Abstract
Last few years, mobile communications have been undergoing a drastic evaluation/change for every ten years or so. The technique difference between the communication processes named as “G’s”. The fifth-generation (5G) systems is becoming a commercial & there is significant interest for future in systems beyond 5G & known as the sixth generation (6G) of wireless systems. This paper describes the design of a novel tooth-shaped patch antenna development for communication in radar system with better performance. The antenna designed in Tera Hz at 300GHz frequency. To achieve higher gain, the designed patch antenna exhibits lower mutual coupling effect. Current distribution & gain of designed novel tooth shaped patch antenna having 1.32*102A/m & 9.45db. The proposed antenna simulated to test the power transferred at the antenna port from the transmission line means impedance bandwidth (S11˂-10dB) at frequencies of 326.67GHz that is, -50.524dB, allocated to the 6G applications by the Federal Communications Commission. By simulation of proposed patch antenna, visualize the intended output or result, the design of antennas is crucial to achieving the required results for future work. The simulation provides us effects to evaluate various parameters, like as bandwidth, and antenna isolation, for the manufactured device's superior performance standards. . RT/ Duroid 5880 is a low-loss / cost substrate and we used in designs. For 6G frequencies, the required band-width should be more than 20GHz, which is desirable for future reference/work.
Design and Implementation of a Bidirectional High Step-up, reduced Normalized Peak Inverse Voltage with Better Current Balancing Function DC-DC Multi-Port Converter with Reduced Elements Ratings and Count
Authors: Kumar B. Ashok , Ezhilarasi.G Angeline 
Published: November 2022

Abstract
In this paper, high-step-up, non-isolated, non-coupled, inductor-based, connected multi-port dc-dc converters for photovoltaic (PV) and battery applications are presented with a decreased component count. The use of the converter in future applications of sustainable energy systems is the focus of this study, the objective of which is to achieve this objective. The proposed topology takes on some of the beneficial qualities of the traditional multi-port architecture, such as voltage gain proportional to the number of connected devices, and even power-sharing in open-loop as a newly added function. To provide the same amount of voltage gain with fewer devices and lower element ratings is possible with the proposed topology. This results in a reduction in the system's overall cost as well as its size, weight, and level of complexity. It is capable of achieving a higher power density of voltage in comparison to existing converters that possess a current-balancing function and reduced Normalized Peak Inverse Voltage on switches and diodes as a result of the elimination of the need for an auxiliary magnetic circuit or complex control scheme in order to equalize the shared power, and it is able to do all of these things simultaneously. In addition to the demagnetization and magnetic short-circuit difficulties that were previously associated with traditional converters but have now been eliminated, decoupled power flow management can now be achieved under any and all circumstances. The energy from the load is able to be taken in and stored in the first input unit. Other advantages of the suggested topology include its modularity and simple structure, as well as its continuous input currents and low input current ripple. Applications requiring low to medium amounts of power are recommended for the structure that is being proposed. The proposed topology has been broken down, and both operational modes and steady-state analyses have been covered. The proposed topology has been evaluated against a number of different multi-port high-gain converters so that verification can be improved. The results of the comparison show that the proposed topology has several advantages.
Coronary Ischemia Study For Patients Admitted To Damascus Hospital Under The Age Of Forty years
Authors: AJI Samer Emad , al-Ghalaini Omran 
Published: November 2022

Abstract
Introduction: Coronary artery disease is a common heart condition that involves the formation of atherosclerotic plaques in the lumen of blood vessels. This study describes the evaluation, diagnosis, and management of coronary artery disease and highlights the role of the health care team in the evaluation and treatment of patients with this condition.
Materials And Methodology: A cross-sectional study targeting 200 patients under the age of 40 attending a Damascus hospital with coronary ischemia.
Results: We extracted, by interpreting the results of the descriptive statistics and applying the Chi-Square tests and ANOVA, many interesting results regarding the assessment of coronary heart injury in patients admitted from the age groups younger than 40, and we found a concentration of infection in the ages. At older ages, as it develops in adults younger than 40 years old.
Recommendations: One of the most important recommendations of our study is to ascertain the reasons for the absence of this relationship in the age groups younger than 40 years, and to search for other non-traditional risk factors that may be useful in determining the causality behind the increasing incidence of coronary heart diseases in unusually young age groups.
Constructing an inventory for fast screening of hydraulic and hydrologic performance of stormwater control measures
Authors: Lerer Sara Maria , Guidje Alexandre Hallkvist , Drenck Karin Margrethe Löf , Jakobsen Camilla Christiane , Arnbjerg-Nielsen Karsten , Mikkelsen Peter Steen , Sørup Hjalte Jomo Danielsen 
Published: November 2022

Abstract
Stormwater control measures (SCMs) are effective and sustainable complementary means of managing stormwater in cities. Unlike underground drainage systems, they require space on the city surface, and therefore must be included in initial sketches of urban planning and design. These initial sketches are often made by architects and urban planners, who are usually not trained in hydrology, and therefore require simple and robust tools to inform their initial plans with respect to stormwater management. There may be local guidelines for dimensioning SCMs, but their applicability is often limited with regard to the range of SCMs, and the methodology behind them may be oversimplified, including a lack of assessment of benefits on the urban hydrological cycle. We developed a methodology for estimating multiple performance indicators of a wide range of SCMs and applied it to Danish meteorological conditions. The methodology includes consulting expected end users, configuring an SWMM model for each SCM type and choosing applicable parameter ranges, running multiple simulations for each type covering the parameter space, and post-processing the results using python and PySWMM. The outputs can be used to draw general recommendations regarding effective application ranges for different SCMs, and to quickly assess the performance of case-specific configurations.
Adaptive water governance research in social sciences journals: a bibliometric analysis
Authors: Cheng Zhe , Yan Shuo , Song Tao , Cheng Le , Wang Huanming 
Published: November 2022

Abstract
Adaptive water governance plays an increasingly important role in sustainable urban development and water governance response to global climate change. To comprehensively understand the research situation and development trend of adaptive water management, this study conducts a systematic literature review of articles published in International Social Sciences Citation Index (SSCI) journals based on bibliometric analysis. The results show that adaptive water governance as an emerging topic of water governance has an overall growth trend in published articles. The articles on adaptive water governance mainly concentrated on the disciplines of environmental science and environmental studies. Developed countries are a hub for water governance research, and China has the sixth largest number of articles from around the world. The adaptive water governance research has formed a preliminary global collaborative network, but the authors' collaboration needs to be strengthened. The most popular topics of adaptive water governance include South Africa, adaptive management, groundwater, principal component analysis, scenario planning, the analytic hierarchy process, resources, basins, computer experiments, and technology development. This finding suggests that adaptive water governance is a critical driver for sustainable urban development and represents a critical direction in the future research of water governance.
Gut Microbiome and Insomnia: A Mini-Review
Authors: Yaser Asaad Noor , Walid Ballan Maram , Shalabi Heba Yead Abdel-Latif , Hossain Ashfaque 
Published: November 2022

Background:
The gut microbiome (microorganisms present in our gut) has emerged as an important determinative factor in a variety of diseases and health
conditions. One new area in which the role of the gut microbiome is of intense interest is its role in various neurological manifestations, including
insomnia, the most common sleep disorder. In this mini-review, we aim to highlight the latest research developments concerning the association
between the gut microbiome and insomnia and summarize gut-brain interaction for a better understanding of the role of microbiota in insomnia.

Methods:
Our search results included publications written in English from the year 2010 up to the year 2022. We used Pubmed, Google Scholar, and ScienceDirect to search for original articles pertaining to the relationship between the gut microbiome and insomnia using the following search terms: "Gut-brain Axis and Insomnia," "Brain and Gut Microbiome," " Gut-brain Homeostasis”, and "Circadian Rhythm and Gut Microbiome". Relevant articles from the reference list were reviewed in order to collect additional information.

Results:
Studies have shown that the microbiome-gut-brain axis is thus associated with the development of insomnia. The gut microbiome can have an
important role in the development of insomnia. On the other hand, insomnia can also modulate the gut microbiome. However, scientific work in
this field is limited as relevant scientific research is at the initial state.

Conclusion:
Bacteria present in the gut send signals to the brain via the vagus nerve by stimulating the afferent neurons of the enteric nervous system and
influencing sleep quality and stress reactivity of the hypothalamic-pituitary-adrenal axis. The gut microbiome also communicates with the nervous
system via the neuroendocrine pathway through various metabolic products. Insomnia also influences the structure and function of the gut
microbiome.
A Novel Powerful γ-Fe2O3 @ CPTMS - Diethylene Triamine (DETA)
@SO3H as a Heterogeneous Nanocatalyst, Recyclable and Efficient via
Microwave-assisted for the Synthesis of Benzoxazinone- 4(3H)-one Derivatives
in Green Media
Authors: Norouzi Fateme Haji , Foroughifar Naser , Khajeh-Amiri Alireza , Pasdar Hoda 
Published: November 2022

Background:
In order to synthesize benzoxazin-4 (3H) -one derivatives, a new inorganic-
organic super-magnetic nano-hybrid (γ‐Fe2O3@ CPTMS-DETA @SO3H) nanocatalyst of the
modified sulfuric acid represents a green and efficient catalyst to perform a three-component condensation
reaction between various acyl chlorides, anthranilic acid and acetic anhydride (as cyclization
agent), in one-pot and solvent-free conditions under microwave irradiation (4a-q).

Introduction:
In recent years, one of the most important subjects in synthetic organic chemistry
has been green synthesis, which has applied environmentally friendly and efficient methods to
synthesize biological derivatives. The use of catalysts has significant advantages, including simple
separation and preparation, chemical and thermal stability, and eco-friendly nature and their features
such as reusability, low cost, high efficiency and easy operation. Therefore, the mechanism
is performed by a non-toxic organic catalyst that uses the chemical reactants and the least energy
in accordance based on the least waste and green chemistry.

Methods:
Sequential addition and one-pot methods were applied to produce benzoxazinone derivatives.
In the sequential addition approach, the reaction was begun by adding anthranilic acid and
acetic anhydride to the reaction vessel under microwave irradiation and continued by adding γ‐
Fe2O3@ CPTMS-DETA @SO3H as super-magnetic nano-hybrid recyclable green catalysts and
the desired acyl chlorides.

Results:
The main objective of this project was to synthesize benzoxazin-4 (3H) -one derivatives
in the presence of super-paramagnetic organic-inorganic nanohybrid particles based on improved
sulfonic acid (γ- Fe2O3 @ SiO2 - DETA @ SO3H) as an efficient recyclable heterogeneous catalyst.

Conclusion:
This paramagnetic nano-organocatalyst was characterized by EDX, VSM, TGA, FESEM,
FT-IR, and XRD. Advantages of this catalyst include easy preparation, clear and easy operation,
short reaction time (15–30 min), as well as without the use of toxic catalysts. In addition,
the catalyst can be separated from the reaction solution using an external magnet by magnetic decantation;
it can be recycled up to six times without reducing its activity.
The Postulated Mechanism of Action of Amygdalin (Vitamin B17) on Cancer Cells
Authors: Fahmi Abdelgawad Ali , El-Desouky Mohamed Ali , Nasraldin Karima Mahmoud 
Published: November 2022

Abstracts:
The current study demonstrates amygdalin’s (vitamin B17) postulated mechanism of action on cancer cells
where it kills cells by selective toxicity, promotes apoptosis via cell cycle arrest, induces apoptosis via intrinsic cell
death pathway (the mitochondria-initiated pathway), and enhances immunity. Thus, amygdalin can be considered a
valuable natural cancer therapeutic agent. The toxicity of Amygdalin was reviewed. Moreover, solutions to avoid the
cyanide poisoning have been proposed.
Leukocyte Count and Neutrophil-To-Lymphocyte Ratio as Simple Hematologic Predictors of Stroke Severity and Functional Outcome in Acute Ischemic Stroke Patients
Authors: Pinzon Rizaldy Taslim , Veronica Vanessa 
Published: November 2022

Background:
It has long been recognized that inflammation plays a critical role in the pathogenesis of ischemic stroke. However, whether leukocyte count and neutrophil-to-lymphocyte ratio are related to stroke severity and functional outcome is uncertain.

Objective:
This clinical study aimed to evaluate the association of leukocyte count and neutrophil-to-lymphocyte ratio with stroke severity and functional outcome in acute ischemic stroke patients.

Methods:
This hospital-based, retrospective observational study included 112 subjects with acute ischemic stroke. All subjects had their demographic, clinical, and laboratory data obtained. The leukocyte count and neutrophil-to-lymphocyte ratio were evaluated by stroke severity on admission and 3-month functional outcome. The severity of stroke at admission was measured using the National Institutes of Health Stroke Scale (NIHSS), whereas the Barthel Index was used to measure 3-month functional outcome (BI). We conducted a regression analysis, adjusting for any confounding variables.

Results:
Higher leukocyte count was significantly associated with increased risk of stroke severity (odds ratio [OR] 1.391, 95% confidence intervals [CI], 1.121-1.725, p: 0.003) and unfavorable functional outcome (OR 1.434, 95% CI, 1.068-1.925, p: 0.017). Higher neutrophil-to-lymphocyte ratio was not significantly associated with increased risk of stroke severity (OR 1.181, 95% CI, 0.947-1.474, p: 0.140) and unfavorable functional outcome (OR 1.246, 95% CI, 0.905-1.716, p: 0.177).

Conclusion:
Our study indicates that leukocyte count is an independent predictor of stroke severity on admission and unfavorable functional outcome.
Comparison of Sub-epithelial Connective Tissue Graft and Platelet Rich Fibrin in Peri-implant Soft Tissue Augmentation: A Randomized Clinical Split-Mouth Study
Authors: Elkashty Ayman Abdel-Rahim , Aboelmaaty Wael Mohammed , Helmy Samah Mohammed , Elewa Mohammed Elsaed , Mansour Alaa , Ateia Islam Mohammed 
Published: November 2022

Aims and Background:
Gingival phenotype has a crucial impact on the peri-implant marginal bone stability. The aim of this clinical trial is to assess and compare the efficacy of the sub-epithelial connective tissue graft (SCTG) and platelet-rich fibrin (PRF) in improving the peri-implant soft tissue phenotype and enhancing esthetic outcomes.

Material and Methods:
The present study was a split-mouth randomized controlled clinical trial. A total of ten patients who had bilateral missing teeth in the maxillary esthetic zone with a thin gingival phenotype were included in this study. For each study participant, one randomly selected site was treated with SCTG while the other was treated with PRF membrane during dental implant placement. Treatment outcomes included the assessment of the facial gingival thickness using cone-beam computed tomography (CBCT) at the baseline (T0) and 6 months postoperatively (T1), and the Pink esthetic score (PES) at T1 and 3 months later after prosthesis placement (T2).

Results and discussion:
Both treatment options resulted in a significant increase in gingival tissue thickness at T1 compared with T0, and in PES at T2 compared with T1 (p ˂ 0.05).

Conclusion:
PRF is an effective alternative to SCTG in augmenting peri-implant soft tissue phenotype and improving the esthetic outcomes. This would help overcome the complications associated with harvesting the SCTG and increasing patients’ satisfaction.