bluuebunny/crossref_metadata_2025_split huggingface dataset:
Moringa oleifera Lam leaves extract and its compounds effect on the intracellular calcium release in human aortic smooth muscle cells
Authors: Jasamai Malina , Shirdashtzadeh Zohreh , Kumolosasi Endang , Fauzi Norsyahida Mohd , Said Hanif Zulkhairi Mohamad 
Published: October 2023

Abstract

The calcium influx and release blocking effects of Moringa oleifera Lam leaf extract and its compounds on the human aortic smooth muscle cells (HAoSMCs) were studied. The cell viability assay was carried out to determine the concentrations of M. oleifera Lam leaf extract and its compounds for the assay. The test compounds in HAoSMCs were incubated with Quin-2-AM in the presence and absence of extracellular calcium (Ca2+) and with the addition of caffeine and potassium (K+). Following treatments with amlodipine, chlorogenic acid, gallic acid, kaempferol, M. oleifera leaf extract, quercetin and vicenin-2, the influx of extracellular Ca2+ into the cytosol of HAoSMCs was significantly inhibited (p <0.001). The test compounds significantly (p <0.001) decreased the concentration of cytosolic Ca2+ induced by K+ depolarisation. The test compounds also significantly (p <0.001) affected the intracellular Ca2+ metabolism, regulated by the caffeine-sensitive storage site in HAoSMCs. No synergistic effect on the decreasing cytosolic Ca2+ level was observed when the test compounds were used in combination with amlodipine. M. oleifera Lam leaf extract and its compounds may act as Ca2+ channel blockers (CCBs) and also possibility of interactions between the test compounds and amlodipine.
Influential Node Identification Method Based on Multi-Order Neighbors and Exclusive Neighborhood
Authors: Wang Feifei , Sun Zejun , Wang Guan , Sun Bohan , Chang Xinfeng , Chang Huibo , Hu Haifeng 
Published: October 2023

Abstract
In a complex network, identifying the influence of nodes and locating the key nodes are helpful for analyzing the network structure and determining the position of nodes to control information transmission, redistribute resources, and regulate the network. We propose an influential node identification method based on multi-order neighbors and exclusive neighborhood (MNEN) based on an analysis and investigation of the existing methods for identifying influential nodes. In the MNEN method, a node's influence is determined by two factors: the node itself, its neighboring nodes, and its exclusive neighborhood. The influence of the node itself is calculated based on its degree value and Ks value (the Ks value is obtained using the K-shell method), while the influence contribution of the neighbor node is calculated based on its degree value, Ks value, and the contribution provided by its exclusive neighbor node. To analyze the performance of the algorithm, we use the SIR model as the evaluation basis, conduct simulation experiments to validate the MNEN method, and compare the experimental results to those of other influential node identification methods. The analysis results indicate that the algorithm accurately identifies influential nodes in networks of varying scales, has a positive overall effect, and is somewhat universal.
Lifestyle modifications as part of optimizing blood pressure control: levels and obstacles among hypertensive patients at Asella Teaching Hospital, Ethiopia, a case series
Authors: Dekema Remedan Jemal , Tukeni Kedir Negesso 
Published: October 2023

Abstract
Background
Around the world, hypertension is a serious health issue. Hypertension left unchecked might cause difficulties. In addition to pharmacological therapy, lifestyle changes must still be adhered to as an essential aspect of care. The purpose of this study was to evaluate factors that influence how well hypertension patients at Asella Referral Hospital in South East Ethiopia adhere to lifestyle changes.
Methodology
Between September 1 and January 30 of 2021, the Asella Referral Hospital hosted this hospital-based cross-sectional study. All individuals with a diagnosis of hypertension who were being followed up on during the trial period were included. Data were gathered through the use of structured questionnaires and entered into Epi-data for analysis. The associations between the variables were investigated using chi-square tests and logistic regression models.
Results
There were 289 hypertensive patients, 48.8% of whom were men and 51.6% of whom were in the 40–59 age range. Over half (56.7%) of the participants went to primary school, and as a result, they can read and write. Nearly 40% of research participants work for themselves in the private sector, and more than 60% said their families support them in managing their hypertension. The majority of research participants (77.9%) reported poor lifestyle change adherence. Low monthly income (AOR = 2.88; 95%CI = 1.08–7.69), comorbidity, inadequate hypertension knowledge (AOR = 1.98; 95% CI = 1.06–3.69), and longer duration of hypertension (AOR = 3.35; 95% CI = 1.19–9.47), all of which were associated with poor adherence to lifestyle change.
Conclusion
Patients with hypertension in this study had poor adherence to lifestyle changes. The primary predictors of poor adherence to lifestyle changes included a lack of knowledge, low family income, a longer time horizon, and the presence of comorbidities. This emphasizes the need of raising public awareness about health issues, improving health insurance coverage, and treating co-morbidities may help people stick to making lifestyle changes that reduce morbidity and mortality while raising survival rates and quality of life.
Research on the use of asynchronous machine in generator mode in microhydroelectric plants of a renewable alternative energy source device
Authors: Berdiyorovich Pirmatov Nurali , o'g'li Muhammadsodiq Matqosimov Mahamadhoshim , o‘g‘li Mahamadjonov Sodiqjon Yo‘ldashboy 
Published: October 2023

Abstract
This article considers the use of a short-circuit rotor asynchronous motor in mini and micro HPP switching to generator mode in the case where the capacitor elements are connected to the stator coil in order to provide reactive power. The main purpose of using an asynchronous motor in generator mode is as follows:
- Low cost of asynchronous motor;
- Ease of Operation work;
- Permanent immutable vine source consumption not to do;
- Ease of holding the frequency in one norm;
- Length of working life.
To operate an asynchronous motor in generator mode, it is required to provide mechanical energy to the shaft of the motor at a speed greater than the nominal rotation of its motor (5%), while it is necessary to use it by connecting the capacitor elements of the required capacity to the stator coil for reactive power consumption of the motor. It is important to correctly select the capacitance of the capacitor elements, incorrectly selected capacitor elements can negatively affect the quality indicators of the electricity being produced. At a time when the current demand for electricity is constantly increasing, the production of quality and affordable electricity using renewable energy sources wisely due to the dwindling natural energy resources is one of the pressing issues, therefore, this article considers measures for using an asynchronous motor in generator mode, gives the necessary data and conclusions. The use of an asynchronous generator in relation to a synchronous generator in Mini and micro HPP leads us to reduce the cost of electricity, therefore, the research work carried out is relevant.
Towards advanced piezoelectric metamaterial design via combined topology and shape optimization
Authors: Stankiewicz Gabriel , Dev Chaitanya , Weichelt Michelle , Fey Tobias , Steinmann Paul 
Published: October 2023

Abstract

Metamaterials open up a spectrum of artificially engineered properties otherwise unreachable in conventional bulk materials. For electromechanical energy conversion systems, lightweight materials with high hydrostatic piezoelectric coupling coefficients and negative Poisson's ratio can be obtained. Thus, in this contribution, we explore the possibilities of piezoelectric metamaterials design by employing structural optimization. More specifically, we apply a sequential framework of topology and shape optimization to design piezoelectric metamaterials with negative Poisson's ratio for electromechanical energy conversion under uniform pressure. Topology optimization is employed to generate the initial layout, whereas shape optimization fine tunes the design and improves durability and manufacturability of the structures with the help of a curvature constraint. An embedding domain discretization (EDD) method with adaptive domain and shape refinement is utilized for an efficient and accurate computation of the state problem in the shape optimization stage. Multiple case studies are conducted to determine the importance of desired stiffness characteristics, symmetry conditions and objective formulations on the design of piezoelectric metamaterials. Results show that the obtained designs are highly dependent on the desired stiffness characteristics. Moreover, the addition of the EDD-based shape optimization step introduces significant changes to the designs, confirming the usability of the sequential framework.
Storage Placement in Computing Continuum for a Robotic Application
Authors: Bakhshi Zeinab , Samani Zahra Najafabadi , Rodriguez-Navas Guillermo , Hansson Hans , Prodan Radu 
Published: October 2023

Abstract
This paper analyzes the timing performance of a persistent storage designed for distributed container-based architectures in industrial control applications. The storage ensures data availability and consistency while accommodating faults. The analysis considers four aspects: 1) placement strategy, 2) design options, 3) data size, and 4) evaluation under faulty conditions. Experimental results considering the timing constraints in industrial applications indicate that the storage solution can meet critical deadlines, particularly under specific failure patterns. Moreover, this evaluation method is applicable for assessing other container-based critical applications with timing constraints that require persistent storage.Further comparison results reveal that, while the method may underperform current centralized solutions under fault-free conditions, it outperforms the centralized solutions in failure scenarios.
The Role of Nurses in Rehabilitation Interventions to the Ageing Population in Primary Health Care: A Secondary Analysis as a Scoping Review
Authors: (VL) Viola Lorenz , (VS) Vanessa Seijas , (HG) Heidrun Gattinger , (CG) Claudia Gabriel , (ML) Margrieta Langins , (SM) Satish Mishra , (CS) Carla Sabariego 
Published: October 2023

Abstract
Background
Due to world population ageing and a rise in non-communicable diseases, there is an increased need for rehabilitation services. Rehabilitation nursing in primary health care is an example of an area of high service need that can benefit from more clarity of the role of nurses to optimize rehabilitation interventions for ageing populations. The objective of this scoping review is to describe the role of nurses in the provision of rehabilitation interventions to the ageing population in primary health care.
Methods
A secondary analysis of a scoping review was carried out following the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR).
Results
68 studies from high- and upper-middle income countries were included and showed that nurses typically had a managerial and clinical role (76%). They worked in multidisciplinary teams in about half of the studies, most often with physical therapists. In total, nurses provided 355 different rehabilitation interventions and mainly assessed person-centered goals and functioning and provided follow-up visits and case management. Nurses had 117 different job titles and little information was available about their educational background and collaboration with other health workers.
Conclusion
Our scoping review contributes to a better understanding of the key role played by nurses in rehabilitation of the ageing population in primary health care and their collaboration with other health professionals. Matching nurses’ competencies with their level of proficiency is essential to ensure quality rehabilitation care to the ageing population.
Recognizing Good Variational Quantum Circuits with Monte Carlo Tree Search
Authors: Cai Zhiqiang , Chen Jialin , Xu Ke , Wang Lingli 
Published: October 2023

Abstract

Many investigators have recently turned to the study of quantum architecture search since it is laborious to manually design a high-performing quantum model and corresponding training strategies. For some tasks, it is more realistic in practice to search for a model architecture. In this paper, we introduce the Monte Carlo Tree Search algorithm which has achieved great success in classical neural architecture search to find good variational quantum circuits for two real-world tasks of ground state energy estimations and multimodal fusion. We adapt the Monte Carlo Tree Search to the quantum scenario by considering more sophisticated classifiers within the tree nodes to partition the search space into several subregions based on the model performance. The experimental results indicate that our proposed method has the ability to recognize good models from the vast search space in both tasks. More importantly, the discovered variational quantum circuits demonstrate their advantages in fusing multimodal features under the comprehensive consideration of parameter number and performance.
Estimating the mechanical properties of rocks and rock masses based on mineral micromechanics testing
Authors: Liu Xiu-yang , Xu Ding-ping , Li Shao-jun , Duan Shu-qian , Xu Huai-sheng , Jiang Quan , Qiu Shi-li 
Published: October 2023

Abstract

The mechanical properties of rocks, including the elastic modulus and uniaxial compressive strength, play a crucial role in rock engineering design and analysis. However, in specific working conditions such as high-stress rock mass with prominent core discing, heavily jointed rock mass, and extraterrestrial rock mass, acquiring standard cylindrical rock specimens that meet testing requirements can be challenging. To address this issue, we propose an innovative methodology for estimating the mechanical properties of rocks and rock masses based on mineral micromechanical testing. This methodology utilizes the phase-positioned indentation technique and statistical deconvolution indentation technique to determine the micromechanical properties of constituent minerals in rocks. Subsequently, by employing the multiple linear regression technique and generalized means method, the micromechanical properties of these minerals are upscaled to estimate the elastic modulus and uniaxial compressive strength of rocks. Furthermore, the previously estimated properties of rocks are further upscaled using the Hoek–Brown failure criterion and the geological strength index system to estimate the mechanical properties of rock masses. Our findings demonstrate the accuracy of this methodology in estimating the mechanical properties of rocks, validated through comparisons with experimental data and other models. This methodology provides a feasible tool for preliminary predictions of the mechanical behavior of rock masses, particularly in situations where obtaining standard cylindrical rock specimens is challenging.
Ionic solvent-mediated electrolytic decontamination of pesticide-containing wastewater
Authors: Oyekunle John A. O. , Durodola Solomon S. , Tovide Oluwakemi O. , Olorunkosebi Allen A. , Olufisayo Ebunoluwa O. , Adekunle Abolanle S. , Ogunfowokan Aderemi O. 
Published: October 2023

Abstract

This study investigated the performance of different ionic solvents (NaCl, KNO3, and Na2SO4) in mediating electrolytic decontamination of pesticide-containing wastewaters and established the most suitable ionic solvent that can satisfactorily achieve decontamination of such wastewaters. These were done to find a water-purification technique suitable for the removal of recalcitrant and hazardous trace organic substances from wastewater. Organochlorine pesticide (OCP)-containing wastewaters were constituted according to prescribed modalities. It was observed that complete decontamination of the wastewater was achieved within 2 h of using Na2SO4. The study concluded that the 1.0 M of Na2SO4 solution-mediated electrolytic process was most efficient in decontaminating OCP-containing wastewater.
Water level prediction of Liuxihe Reservoir based on improved long short-term memory neural network
Authors: Li Youming , Qu Jia , Zhang Haosen , Long Yan , Li Shu 
Published: October 2023

Abstract

To meet the demand of accurate water level prediction of the reservoir in Liuxihe River Basin, this paper proposes an improved long short-term memory (LSTM) neural network based on the Bayesian optimization algorithm and wavelet decomposition coupling. Based on the improved model, the water levels of Liuxihe Reservoir and Huanglongdai Reservoir are simulated and predicted by the 1 h prediction length, and the prediction accuracy of the improved model is verified separately by the 3, 6 and 12 h prediction lengths. The results show that: first, Bayesian optimization coupling can significantly reduce the average absolute error and root mean square error of the model and improve the overall prediction accuracy, but this algorithm is insufficient in the optimization of model extremum; Wavelet decomposition coupling can significantly reduce the outliers in model prediction and improve the accuracy of extremum, but it plays relatively weaker role in the overall optimization of the model. Second, by the prediction lengths of 1, 3, 6 and 12 h, the improved model based on the LSTM neural network and coupled with Bayesian optimization and wavelet decomposition is superior to Bayesian optimization and wavelet decomposition coupling model in overall prediction accuracy and prediction accuracy of extremum.
Sniffer dogs as an emerging approach for water leakage detection
Authors: Zhong Jiazhi , Chen Dongdong 
Published: October 2023

Abstract
Effective control of water leakage is a critical aspect for ensuring the high-quality development of the water sector. In recent years, the utilization of sniffer dogs in water leakage detection has emerged as a promising technology, progressing from laboratory experiments to small-scale real-world applications. Leveraging their remarkable ability to trace chlorine, sniffer dogs have demonstrated an impressive accuracy and high efficiency in detecting underground pipe leaks. This mini-review comprehensively examines the advancements in sniffer dog usage for leak detection, provides an overview of various application methods, and elucidates the conditions and limitations associated with each approach. It also delves into the management mechanisms of sniffer dogs, offering a comparative analysis of different management models. Lastly, this review addresses the challenges inherent in applying sniffer dogs to water leak detection, poses pertinent research questions concerning sniffer dogs' training and the expansion of odour fingerprint, and presents a forward-looking perspective on the subject.
Recent Methods for the Synthesis of Quinoxaline Derivatives and their
Biological Activities
Authors: Farghaly Thoraya A. , Alqurashi Raghad M. , Masaret Ghada S. , Abdulwahab Hanan Gaber 
Published: October 2023

Abstract:
Quinoxaline derivatives have been incorporated into numerous marketed drugs used for
the treatment of various diseases. Examples include glecaprevir (Mavyret), voxilaprevir (Vosevi),
Balversa (L01EX16) (erdafitinib), carbadox, XK469R (NSC698215), and becampanel (AMP397).
These quinoxaline derivatives exhibit a diverse range of pharmacological activities, including antibacterial,
antitubercular, antiviral, anti-HIV, anti-inflammatory, antifungal, anticancer, antiproliferative,
antitumor, kinase inhibition, antimicrobial, antioxidant, and analgesic effects. Recognizing the
significance of these bioactive quinoxaline derivatives, researchers have dedicated their efforts to
developing various synthetic methods for their production. This review aimed to compile the most
recent findings on the synthesis and biological properties of quinoxaline derivatives from 2015 to
2023.
Pyrazolo - Pyrimidines as Targeted Anticancer Scaffolds -
A Comprehensive Review
Authors: Kandhasamy Kesavamoorthy , Surajambika Remya Ramachandran , Velayudham Pradeep Kumar 
Published: October 2023

Background:
Globally, cancer is the leading cause of death, which causes 10 million
deaths yearly. Clinically, several drugs are used in treatment but due to drug resistance and
multidrug resistance, there occurs a failure in the cancer treatment.

Objectives:
The present review article is a comprehensive review of pyrazole and pyrimidine
hybrids as potential anticancer agents.

Method:
The review comprises more than 60 research works done in this field. The efficiency of
the reported pyrazolopyrimidine fused heterocyclic with their biological data and the influence of
the structural aspects of the molecule have been discussed.

Result:
This review highlighted pyrazolo-pyrimidines as targeted anticancer agents with effect on
multiple targets.

Conclusion:
The review will be helpful for the researchers involved in targeted drugs for cancer
therapy for designing new scaffolds with pyrazolo-pyrimidine moieties.
Literasi Digital dalam Upaya Mendukung Pembelajaran Online pada Siswa Sekolah Dasar
Authors: Samudra Andika , Putri Eka Azri Raihana , Selsia Bekhi 
Published: October 2023

Abstrak
Pandemi virus corona telah membuat semua sekolah diharapkan untuk mengarahkan pembelajaran jarak jauh atau internet. Untuk terus menyelesaikan pembelajaran, khususnya di bidang keterampilan, para pendidik memanfaatkan imajinasinya dengan memanfaatkan pendidikan terkomputerisasi dengan kompleksitas mekanis terkini yang dapat memperkuat pendidikan karakter siswa. Motivasi di balik penelitian ini adalah untuk mengetahui tentang tingkat kemajuan pelaksanaan kecakapan lanjutan dengan tujuan akhir memperkuat kepribadian siswa dan membantu pembelajaran berbasis web. Dengan strategi yang mencerahkan secara subyektif untuk melaksanakan kemahiran komputerisasi, yang dievaluasi saat memperkuat pelatihan karakter siswa. Awalnya, kemahiran disebut “Pojok Baca” sebagai akibat dari keadaan selama pandemi. Pendidik memupuk daya cipta mereka dengan menyelesaikan kemahiran tingkat lanjut, yang mereka sebut “Kabar Baik”, yang digantung pada hari Senin, Rabu, dan Jumat. Dengan memuat rekaman dan gambar sebagai pamflet atau spanduk yang dibagikan di WhatsApp, Instagram, dan Google Home. Dalam kecakapan ini terdapat penguatan pendidikan karakter dalam kebebasan, tanggung jawab, amanah, dan selanjutnya kewajiban dalam berbagai hal yang dilakukan siswa, khususnya dalam menyelesaikan pendidikan komputerisasi.
Abstract
The corona virus pandemic has made all schools expected to direct remote or internet learning. To continue to complete learning, especially in the field of skills, educators use their imagination by utilizing computerized education with the latest mechanical complexity that can strengthen student character education. The motivation behind this study was to find out about the progress of the implementation of advanced skills with the ultimate aim of strengthening students' personalities and assisting web-based learning. With subjectively enlightening strategies for carrying out computerization skills, which are evaluated when strengthening student character training. Initially, the proficiency was called “Reading Corner” as a result of the circumstances during the pandemic. Educators nurture their creativity by completing advanced skills, which they call “Good News,” which are hung on Mondays, Wednesdays, and Fridays. By loading footage and images as flyers or banners shared on WhatsApp, Instagram and Google Home. In this skill there is a strengthening of character education in freedom, responsibility, trust, and then obligations in various things that students do, especially in completing computerized education.