bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficient Resource Allocation in Cloud Computing Using Hungarian Optimization in Aws
Authors: Murali Juliet A , T Brindha 
Published: February 2023

Abstract
Cloud computing is a recent technology which allows on-demand availability of computing services as well as resources to users without having direct control by the user. The various resources offered by cloud technology needs appropriate task scheduling strategies to provide better Quality of Service (QoS). Moreover, the Cloud Service Provider (CSP) concentrates more on providing various resources to a user based on demand. Thus, resource allocation occupies a crucial task in offering better QoS and profits to CSP. Although several techniques were deployed for various resource allocations in the cloud, the challenges still risk the CSP in accomplishing improvised resource allocation due to over demand and under availability of resources which results in increased makespan as well as Virtual Machine (VM) utilization factor. For this reason, this paper aims to introduce a novel resource allocation model that comprises appropriate resource discovery, task scheduling, and then resource allocation. The proposed methodology uses the EC2 Lambda instance for the resource discovery process. Depending on the EC2 Lambda instance, the recommended process is grouped to the available resources. Resource discovery is done by finding all the resources that meet the user’s needs and guiding them to nearby innovation. Initially, the executed jobs are recognized or analyzed and the available resources are grouped. Simultaneously the resources are allocated with the help of a Hungarian optimization technique. Eventually, the empirical analysis reveals the performance of the proposed resource allocation model in terms of CPU and network utilization.
Skull Base Dural Reflection Models: Tool for Training at Resource Scarce Centres
Authors: Jha Deepak Kumar , Janu Vikas , Bhaskar Suryanarayanan , Ghosal Jaskaran Singh , Ghatak Surajit 
Published: February 2023

Abstract
Background
Skull base dural reflections are complex, and along with various ligaments joining sutures of skull base, are related to most important vessels like internal carotid arteries (ICA), vertebral arteries, jugular veins, cavernous sinus and cranial nerves make surgical approaches difficult and needs thorough knowledge and anatomy for safe dissection and satisfactory patient outcomes. Cadaver dissection is much more important for training of skull base anatomy in comparison to any other subspecialty of neurosurgery, however, such facilities are not available at most of the training institutes more so in low and middle income countries (LMICs).
Methods
A glue gun (100-watt glue gun, Aptech deals, Delhi, India) was used to spread glue over the superior surface of bone of skull base over desired area (anterior, middle or lateral skull base). Once glue was spread over the desired surface uniformly, it was cooled under running tap water and the glue layer was separated from the skull base. Various neurovascular impressions were colored for ease of depiction and teaching.
Result
Inferior surface of dural reflections of the skull base is important for understanding neurovascular orientations of various structures entering or exiting the skull base. It was readily available, reproducible and simple for teaching neuroanatomy to the trainees of neurosurgery.
Conclusion
Skull base dural reflections made up of glue is an inexpensive, reproducible item which may be used for teaching neuroanatomy. It may be useful for trainees and young neurosurgeons especially at resource scarce health-care facilities.
Susceptibility of Adiabatic Shear Band Formation in AZ31B Magnesium Alloy during High Strain Rate Impact
Authors: Tetteh Francis , Duntu Solomon , Boakye-Yiadom Solomon 
Published: February 2023

Abstract
Adiabatic shear bands (ASBs) are known to be the dominant damage mechanisms in structural materials under high strain rate loading such as Magnesium (Mg) alloys. Therefore, to tailor the mechanical performance of Mg alloys for structural applications, there is a need to understand their susceptibility to strain localization and formation of ASBs, including the mechanism of crack initiation and propagation. In this study, as-fabricated (extruded) and heat-treated (annealed at 400oC) AZ31B Mg alloys were subjected to high strain rate loading using the direct impact hopkinson pressure bar (DIHPB) under different strain rates (834–2435 s− 1) at room temperature. The impact specimens failed through the occurrence of strain localization, formation of diffused ASBs and initiation/propagation of micro-cracks along the path of evolved ASBs. Thus, strain localization results in crack initiation and propagation despite the inherent brittle nature of the Mg alloys. Also, the presence of fractured second-phase particles dispersed within voids and along shear band path suggests particle fragmentation and refinement due to the strain localization. This also resulted in void nucleation, growth and coalescence at a later stage during the deformation. In addition, there seems to be a threshold strain rate ( ~ > 2225 s− 1) beyond which the specimen fractures regardless of the initial microstructure of the Mg alloys.
Investigation of the pathogenesis of liver cirrhosis associated with type 2 diabetes mellitus via bioinformatic analysis
Authors: xiong zhiyu , Yuan Mengqin , Yao Lichao , Wang Zheng , Liu Pingji , Jiang Yingan , Dai Kai 
Published: February 2023

Abstract
Background
The prevalence of type 2 diabetes mellitus (T2DM) with liver cirrhosis continues to increase globally. T2DM is identified as an independent risk factor for liver cirrhosis and an important prognostic factor for clinical outcomes in patients with liver cirrhosis. However, this co-occurring mechanism has not yet been elucidated. Therefore, this study aims to investigate the mechanisms underlying the co‐pathogenesis of liver cirrhosis and T2DM and to provide reference information for future diagnoses and treatment of patients with liver cirrhosis associated with T2DM.
Methods
RNA-seq profile of liver cirrhosis and T2DM was downloaded from Gene Expression Omnibus (GEO) database and analyzed. Differentially expressed genes (DEGs) associated with liver cirrhosis and T2DM were identified using GEO2R. Thereafter, the co‐differentially expressed genes (co‐DEGs) associated with liver cirrhosis and T2DM were obtained from the intersection of the datasets on the DEGs. Subsequently, 175 overlapping DEGs were identified and further analyzed using a bioinformatic approach, which included Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, protein–protein interaction (PPI) network analysis, transcription factors (TFs)–gene interaction network analysis, and drug candidate prediction analysis.
Results
The intersection of datasets on DEGs associated with liver cirrhosis and T2DM enabled the selection of 175 co-DEGs for subsequent analyses. Functional enrichment analyses showed that these co‐DEGs are associated with inflammatory cytokine responses and positive regulation of transforming growth factor‐β1 (TGF‐β1). The KEGG analysis showed that advanced glycation end products–receptor for advanced glycation end products signaling pathway was markedly involved in liver cirrhosis associated with T2DM. Thereafter, a total of eight hub genes: SPARC, COL4A2, THBS1, LUM, TIMP3, COL3A1, IGFBP7, and FSTL1, associated with the diseases were identified using five algorithms from Cytoscape app for network centrality analysis and CytoHubba (a plug‐in in the Cytoscape software). In total, 29 TFs of the hub genes were detected by NetworkAnalyst and Drug SIGnatures DataBase, which predicted that retinoic acid is one of the promising agents that may be used for the treatment of liver cirrhosis associated with T2DM.
Conclusions
This study elucidated the common pathogenesis of liver cirrhosis and T2DM and predicted a potential clinical therapeutic drug. Therefore, these novel findings may contribute to the literature on the pathogenesis of liver cirrhosis associated with T2DM.
Impact of continuous professional development training on mathematics and science teachers’ pedagogical beliefs: A one-group pre-posttest quasi-experimental design
Authors: Nkundabakura Pheneas , Nsengimana Theophile , Uwizeyimana Daniel , Mbonyiryivuze Agnes , Ukobizaba Fidele 
Published: February 2023

Abstract
Background
Teachers’ pedagogical beliefs have effects on their teaching practices. This study aimed to assess the impact of continuous professional development training on mathematics and science teachers’ pedagogical beliefs in secondary schools after training they received.
Methods
A one-group pre-posttest quasi-experimental design was adopted to achieve the intended objectives. The sample of 691 teachers was purposively selected in eight Rwandan districts. Data were collected using a valid and reliable Beliefs about Reformed Science Teaching and Learning (BARSTL) questionnaire. The instrument’s internal consistency reliability was calculated, and a Cronbach alpha of α = .856 was obtained. Teachers were assessed before and after training on their pedagogical beliefs. The training was done for eight months. Data were analyzed by using descriptive statistics.
Results
The item-by-item analysis showed positive shifts on some items in terms of both gender and school groups. The results show that the provided training positively impacted teachers' beliefs on how they consider students’ prior knowledge while teaching Science and Mathematics. Descriptive analysis in percentages showed a slight positive change in female teachers’ beliefs, as shown by their increase in mean scores after treatment.
Conclusions
The results show that the training provided positively impacted teachers' pedagogical belief in considering students’ prior knowledge while teaching science and mathematics.
Oxyresveratrol-β-cyclodextrin mitigates intracerebral STZ-induced Alzheimer’s disease via suppression of hippocampal and cortical cognitive impairment and histone deacetylase activity in rats: In silico and In vivo studies
Authors: Agarwal Tushar , Manandhar Suman , B Harish Kumar , Famurewa Ademola C , Gurram Prasada Chowdari , Suggala Ramya Shri , Mudgal Jayesh , Pai Sreedhara Ranganath 
Published: February 2023

Abstract
Alzheimer’s disease (AD) is associated with cognitive deficits and epigenetic deacetylation that can be modulated by natural products. The role of natural oxyresveratrol-betacyclodextrin (ORV) on cognition and histone deacetylase activity in AD is unclear. Herein, in-silico docking, and molecular dynamics simulation analysis determined that oxyresveratrol potentially targets histone deacetylase-2 (HDAC2) inhibition. We therefore evaluated the in vivo ameliorative effect of ORV against cognitive deficit, cerebral and hippocampal expression of HDAC in experimental AD rats. Intracerebroventricular injection of STZ (3 mg/kg) induced experimental AD and the rats were treated with low dose (200 mg/kg), high dose (400 mg/kg) of ORV and donepezil (10 mg/kg) for 21 days. The STZ-induced AD caused cognitive and behavioural deficits demonstrated by considerable increases in acetylcholinesterase activity and escape latency compared to sham control. The levels of malondialdehyde (MDA) and HDAC activity were significantly increased in AD disease group comparison to the sham. Interestingly, the ORV reversed the cognitive-behavioural deficit and prominently reduced the MDA and HDAC levels comparable to the effect of the standard drug, donepezil. The findings suggest role of ORV via antioxidant effect and inhibition of HDAC in the hippocampal and frontal cortical area of rats for AD.
Limit cycles and Integrability of a continuous system with a line of equilibrium points
Authors: Abdulkareem Aram , Amen Azad , Hussein Niazy 
Published: February 2023

Abstract
We focus on a chaotic differential system in 3-dimension, including an absolute term and a line of equilibrium points. Which describes in the following
ẋ = y , ẏ = −ax + yz , ż = by − cxy − x2.
This system has an implementation in electronic components. The first purpose of this paper is to provide sufficient conditions for the existence of a limit cycle bifurcating from the zero-Hopf equilibrium point located at the origin of the coordinates. The second aim is to study the integrability of each differential system, one defined in half–space y ≥ 0 and the other in half–space y < 0. We prove that these two systems have no polynomial, rational, or Darboux first integrals for any value of a, b, and c. Furthermore, we provide a formal series and an analytic first integral of these systems. We also classify Darboux polynomials and exponential factors.
Molecular targets and mechanisms of cortex mori for lung cancer treatment: A network pharmacology study, molecular docking and experimental validation
Authors: Yang Qiuhong , Shao Yingying , He Shufen , Zhang Hanbin , Han Weichao , Xie Baocheng , He Ruirong 
Published: February 2023

Abstract
Purpose The traditional Chinese medicine cortex mori was commonly used to treat pneumonia in clinical settings. The development of cancer is closely related to inflammation. So, it was the objective of this study to determine the molecular targets of cortex mori in the treatment of lung cancer and explore its action and mechanism through network pharmacological analysis combined with biological experiments in vitro.
Methods GeneCards database was searched for the disease targets of lung cancer and Traditional Chinese Medicine Systems Pharmacology (TCMSP), was used to screen cortex mori for its active components and targets. Protein-protein interactions (PPI) and gene ontologies (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were analyzed for intersection genes. In order to determine whether cortex mori affects lung cancer, MTS, wound healing, and apoptosis assays were performed.
Results 32 active ingredients and 434 targets of Chinese medicine cortex mori were obtained. Totally 2,3107 lung cancer related targets were collected. The results of network pharmacological analysis showed that cortex mori acted on 163 disease targets of lung cancer mainly by cyclomolorusin, ,etc. The core genes involving cortex mori treating lung cancer might consist of JUN, etc. The core targets involved 162 biological processes, including nuclear receptor activity, etc. The core study targeted 160 pathways, including fluid stress, etc. Biologic cytological experiments showed that cyclomolorusin inhibited occurrence and development of lung cancer through AKT-PI3K pathway.
Conclusions Cortex mori acts on AKT and other related disease targets of lung cancer cells through cyclomolorusin, and plays a role in the treatment of lung cancer by inhibiting the signaling pathway associated with lung cancer occurrence and development.
Rainfall time series prediction based on the DWT-SVR- Prophet hybrid model
Authors: Li Dongsheng , Ma Jinfeng , Rao Kaifeng , Wang Xiaoyan , Li Ruonan , Yang Yanzheng , Zheng Hua 
Published: February 2023

Abstract
The discrete wavelet method can be used to decompose rainfall time series into subseries of different frequencies. It would be worthwhile to investigate whether combining forecasting results from different frequency subseries could improve the accuracy of rainfall prediction. A novel DWT-SVR-Prophet (DSP) hybrid model for rainfall prediction is proposed in this paper. First, the rainfall time series is decomposed into high-frequency and low-frequency subseries using discrete wavelet transform (DWT). The SVR and Prophet models are then used to predict high-frequency and low-frequency subsequences, respectively. Finally, the predicted rainfall is determined by summing the predicted values of each subsequence. A case study in China is conducted from January 1, 2014, to June 30, 2016. The results show that the DSP model provides excellent prediction, with RMSE, MAE, R2 values of 6.17, 3.3, and 0.75, respectively. The DSP model yields higher prediction accuracy than the three baseline models considered, with the prediction accuracy ranking as follows: DSP > SSP > Prophet > SVR. In addition, the DSP model is quite stable, and can achieve good results when applied to rainfall data from various climate types, with RMSEs ranging from 1.24 to 7.31, MAEs ranging from 0.52 to 6.14 and R2 values ranging from 0.62 to 0.75. The proposed model may provide a noval approach for rainfall forecasting and is readily adaptable to other time series predictions.
Research Trends in Lung Organoids: Bibliometric Analysis and Visualization
Authors: Peng Xiaoyun , Li Fang , Ma Qiong , Tan Shiyan , Jiang Hua , Ye Xin , Dong Jing , You Fengming , Ren Yifeng , Zheng Chuan 
Published: February 2023

Abstract
Background
Lung organoids have emerged as a promising tool for studying lung development, function, and disease pathology. The present study aimed to analyze the current status and development trends of lung organoid research over the past years, present visual representations, and provide references for future research directions using bibliometric analysis.
Methods
Information on articles on lung organoids extracted from the Web of Science Core Collection, such as year of publication, journal, country, institution, author, and keywords, was analyzed. R, VOSviewer, and SCImago Graphica were used to visualize publication trends, co-authorship analysis, co-occurrence analysis, and hotspot evolution.
Results
The number of global publications has increased from 1 in 2011 to 512 in 2022. The cell produced the highest number of citations (2,069 citations). The United States (6,694 citations and 177 publications), University Medical Center Utrecht (2,060 citations and 9 publications), and Clevers H (2,570 citations and 15 publications) were the most influential countries, institutions, and authors, respectively. Co-occurrence cluster analysis of the top 54 keywords formed four clusters: (1) pulmonary fibrosis (PF), (2) lung cancer, (3) cystic fibrosis (CF), (4) coronavirus disease 2019 (COVID-19) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
Conclusion
Organoid technology undoubtedly played an important role in the study of COVID-19, but with the passing of the COVID-19 epidemic, the research focus may return to refractory lung diseases such as PF, CF, and lung cancer. Standardized culture, living biobanks, and multimodal model systems for lung disease may be the future research directions in the field of lung organoids.
Linear functionals and Δ- coherent pairs of the second kind
Authors: Dominici Diego , Marcellan Francisco 
Published: February 2023

Abstract
We classify all the Δ-coherent pairs of measures of the second kind on the real line. We obtain 5 cases, corresponding to all the families of discrete semiclassical orthogonal polynomials of class s ≤ 1:
2020 Mathematical Subject Classification: 42C05 (primary), 33C45, 46E39 (secondary).
Anastomotic Stricture Prediction in Patients with Esophageal Atresia with Distal Fistula
Authors: Newland Natalia , Snajdauf Jiri , Kokesova Alena , Styblova Jitka , Hradsky Ondrej , Meusel Isabel , Kucerova Barbora , Kyncl Martin , Simsova Magdalena , Mixa Vladimir , Rygl Michal 
Published: February 2023

Abstract
Purpose
To investigate potential early risk factors for anastomotic stricture formation and assess the predictive role of post-operative esophagrams.
Methods
A retrospective study of patients with esophageal atresia with distal fistula (EA/TEF) operated between 2011 and 2020. Fourteen predictive factors were tested for stricture development. Esophagrams were used to calculate early (SI1) and late (SI2) stricture index (SI = anastomosis diameter/upper pouch diameter).
Results
Of 185 patients operated for EA/TEF in the 10-year period, 169 patients met the inclusion criteria. Primary anastomosis was performed in 130 patients and delayed anastomosis in 39 patients. Stricture formed in 55 patients (33%) within 1 year from anastomosis. Four risk factors showed strong association with stricture formation in unadjusted models: long gap (p = 0.007), delayed anastomosis (p = 0.042), SI1 (p = 0.013) and SI2 (p < 0.001). A multivariate analysis showed SI1 as significantly predictive of stricture formation (p = 0.035). Cut-off values using a receiver operating characteristic (ROC) curve were 0.275 for SI1 and 0.390 for SI2. The area under the ROC curve demonstrated increasing predictiveness from SI1 (AUC 0.641) to SI2 (AUC 0.877).
Conclusions
This study identified an association between long gap and delayed anastomosis with stricture formation. Early and late stricture indices were predictive of stricture formation.
A Low-Power Direct-Conversion Receiver with Improved Sensitivity using AC-Coupled Baseband Amplifier in 130 and 180 nm CMOS Technologies
Authors: Oliveira Wisla , Brito-Filho Francisco 
Published: February 2023

Abstract
This paper evaluates the use of an AC-coupled amplifier as a base-band amplifier for a direct conversion receiver. Due to the importance oflow-power consumption circuits for modern applications, a passive-typeenvelope detector was used to perform the downconversion of the radiofrequency signal while the baseband amplifier improves the sensitivity.The circuits were designed and simulated using CMOS SkyWater 130nm and UMC 180 nm technologies. Open-source end-to-end ASIC designflow was used to obtain results to SkyWater technology. For both tech-nologies the results of each stage are presented, as well as a sensitivitycomparison for the envelope detector, and the sensitivity with the use ofthe amplifier. The power-consumption of the AC-coupled amplifier forSkyWater 130 nm was 1.8 μA and for UMC 180 nm was 0.9 μW . At theoperating frequency of 2.45 GHz, the receiver achieves a sensitivity of−58.5 dBm and −61.88 dBm for UMC and SkyWater technologies,respectively. The results are within the expectations and presented in theliterature. The AC coupled amplifier performs well as a baseband ampli-fier for a direct conversion receiver, improving sensitivity, amplifyingthe baseband signal in addition to adding low power consumption.
Different Ratio C/N with Sugar Beet Raffinate and Algae-Limit in Artemia franciscana (Kellogg, 1906) Diets on Growth and Reproductive Performance, Biomass Production, Proximate Compositions and Digestive Enzymes
Authors: Vahdat Saeid 
Published: February 2023

Abstract

The supply of food is one of the most crucial factors in the culture of Artemiabecause the larviculture of fish and shellfish is inextricably dependent on live food. This study focused on adjusting the C/N ratio in Artemia franciscana diets in-vivo by adding raffinate and limiting of algae. The nauplii of Artemia were fed seven feeding treatments, including a control diet and six experimental feeds with varying concentrations of raffinate and algae. The findings demonstrated that Artemia fed a diet containing 10% algae and 1.25% raffinate performed marginally better in terms of survival, but with significantly higher growth, the total number of offspring, alkaline protease, amylase, and lipase activities were detected compared to control. When Artemia was fed 10% algae and 1.25% raffinate did the higher biomass and lower FCR become statistically significant. The body protein showed a significant increase when compared to C/N 3.5 (high diet protein). In conclusion, diets containing algae (from 60–80 percent less than control) and raffinate improved growth, biomass production, and reproductive productivity in C/N 9.5 to 10.5.