bluuebunny/crossref_metadata_2025_split huggingface dataset:
Data-Driven Decision-Making Strategy for Thermal Well Completion
Authors: Izadi Hossein , Roostaei Morteza , Mahmoudi Mahdi , Rosi Giuseppe , Stevenson Jesse , Tuttle Aubrey , Sutton Colby , Mirzavand Rashid , Leung Juliana Y. , Fattahpour Vahidoddin 
Published: November 2022

Abstract
Various wellbore completion strategies have been developed for thermal wells in Western Canada. The idea in this paper is estimating the improvement of oil production and steam injection if flow control devices (FCDs) will be installed for the next wells to be drilled, or if FCDs were installed at a particular well-pad that has not yet been completed with any FCDs. The approach is based on labeled real data for 68 well-pads from seven major thermal projects in Western Canada.
Three phases make up the paper's methodology. The first phase compares wells with and without FCDs to evaluate the performance of the FCDs based on normalized oil production and cumulative steam oil ratio (cSOR). The second phase involves clustering well-pads using an unsupervised incremental-dynamic algorithm. An estimation of FCD contribution to enhancing oil production and cSOR is also performed for test well-pads based on their most similar cluster. In the third phase, cross-validation is employed to ensure that the estimation is trustworthy, and that the procedure is generalizable.
To evaluate the performance of FCDs, a reliable comparison was made using normalized oil production and cSOR. Based on our analysis from October 2002 to March 2022, successful FCD deployment resulted 42% more normalized oil and a 37% reduction in cSOR. Among these, liner deployed (LD) FCDs increased oil production by 44% while decreasing cSOR by 58%. Although tubing deployed (TD) FCDs are installed in problematic wells, they produced 40% more oil while decreasing cSOR by 21% in successful cases. Successful inflow control devices (ICDs) increased oil production by 40% while lowering cSOR by 45%. Successful outflow control devices (OCDs) increased oil production by 82% while reducing cSOR by 22%. The clustering algorithm separates the database into four clusters that will be utilized in the estimating phase. In the estimation phase, ten well-pads (15% of the database) are presumed to be new well-pads to be drilled (test data). Based on the estimation results, the root mean square errors (RMSEs) for FCDs contribution to enhancing oil production and cSOR for the test well-pads are 12%. Cross-validation was also performed to assess the approach's predictability for new data, to verify that our technique is generalizable.
The findings indicate that FCDs might result in lower capital expenditures (CapEx) and greenhouse gas (GHG) emissions intensity for SAGD well-pad developments, allowing them to reduce emissions. The conclusions of this research will aid production engineers in their knowledge of relative production performance. The findings may be used to examine paradigm shifts in the development of heavy oil deposits as technology advances while keeping economic constraints in mind.
Design and dynamic control of integrated synergetic controller for single penstock two-machine hydropower system
Authors: Wang Fangfang , Zeng Yun , Qian Jing 
Published: November 2022

Abstract
Due to the existence of hydraulic coupling in the single penstock multi-machine system, the stability time of the unit is prolonged when power disturbance occurs, which is not conducive to the stability of the power system. Based on the synergy theory, this paper builds a nonlinear model of a hydro generator unit with the single penstock two-machine system, adds the synergy factors of the governing system and the excitation system, describes the characteristics of the controlled system, and derives the control law. A simulation system is built to verify the effectiveness of the proposed method. Load disturbance and three-phase short-circuit fault are set up to compare the dynamic response effects of the PID controller with optimized parameters and the synergetic controller. The results show that the proposed control method has a better control effect in the single penstock two-machine system and can better reduce the influence of the common pipe due to hydraulic coupling, shorten the stabilization time, and ensure the stability of the system. In addition, the values of regulation and synergetic control parameters are analyzed separately to provide a reference for achieving better control.
Boosting the Earth’s “Immune System”: The Development of an “Ocean Mission Architecture Optimization”
Authors: RASSIA STAMATINA TH. 
Published: November 2022

Abstract
Since the 1960s, researchers have studied catastrophes and have predicted that the Earth’s Systems are moving towards a new equilibrium. We are heading towards a new Ice Age. The question is whether mankind can withstand it. 82% of the world’s largest cities are situated on coastal areas or along coastlines (cf. [4]). Urbanization and deterioration of mangroves, the marine ecology and coastal environments bring cities in the front line of impact with the climate crises. While oceans have absorbed 93% (cf. [11]) of the Earth’s greenhouse gas emissions since the 1970s, megacities continue to grow over a boiling pot. What comes next remains to be seen, yet this paper proposes the development of an “Ocean Mission Architecture Optimization” (OMAO) as a step forward in combining interconnected proactive plans for future Ocean and land-use sustainability.
Taming Large-Scale Genomic Analyses via Sparsified Genomics
Authors: Alser Mohammed , Eudine Julien , Multu Onur 
Published: November 2022

Abstract
Searching for similar genomic sequences is an essential and fundamental step in biomedical research and an overwhelming majority of genomic analyses. State-of-the-art computational methods performing such comparisons fail to cope with the exponential growth of genomic sequencing data. We introduce the concept of sparsified genomics where we systematically exclude a large number of bases from genomic sequences and enable much faster and more memory-efficient processing of the sparsified, shorter genomic sequences, while providing similar or even higher accuracy compared to processing non-sparsified sequences. Sparsified genomics provides significant benefits to many genomic analyses and has broad applicability. We show that sparsifying genomic sequences greatly accelerates the state-of-the-art read mapper (minimap2) by 1.54-8.8x using real Illumina, HiFi, and ONT reads, while providing a higher number of mapped reads and more detected small and structural variations. Sparsifying genomic sequences makes containment search through very large genomes and very large databases 72.7-75.88x faster and 723.3x more storage-efficient than searching through non-sparsified genomic sequences (with CMash and KMC3). Sparsifying genomic sequences enables robust microbiome discovery by providing 54.15-61.88x faster and 720x more storage-efficient taxonomic profiling of metagenomic samples over the state-of-art tool (Metalign). We design and open-source a framework called Genome-on-Diet as an example tool for sparsified genomics, which can be freely downloaded from https://github.com/CMU-SAFARI/Genome-on-Diet.
Accessible mental well-being intervention for adolescents in school setting- Single-Group Intervention Study with a Pretest-Posttest Design
Authors: Tornivuori Anna , Kronström Kim , Aromaa Minna , Salanterä Sanna , Karukivi Max 
Published: November 2022

Abstract

Background
A growing number of adolescents seek treatment for mental health problems, which stresses the importance of studying and implementing accessible treatment options. The objective of this study was to evaluate the impact of a brief, mental well-being intervention for adolescents in a school-environment. Mental health interventions are often targeted at specific disorders, we aimed for a generic approach thus reaching adolescents with a large range of mental health symptoms.
Methods
Single-Group Intervention Study with a Pretest-Posttest Design. The intervention was conducted in secondary, upper secondary and vocational schools for adolescents aged 12–18, who sought medical attention due to mental health symptoms (n = 124). The cut-off point for inclusion was ≥14 points for the Young Persons Clinical Outcomes for routine Evaluation (YP-CORE) measure. The intervention included six visits and was implemented by school nurses that had received a three-day training course. The impact of the intervention was evaluated immediately after the six visits (n = 85) and at six-month follow-up (n = 68). The participants’ mental well-being was assessed by YP-CORE, Beck Depression Inventory (BDI-II) and Overall Anxiety Severity and Impairment Scale (OASIS).
Results
Participants reported significant levels of mental distress at baseline, YP-CORE mean score = 21.48, BDI-II mean score = 23.60, OASIS mean score = 10.98. The post-intervention results at six weeks for the primary outcome YP-CORE showed a significant (p < .001) mean score decrease of -3.82 and a medium effect size d = .627. Long-term outcomes at six months showed a -1.14 decrease (p = non-significant) and effect size d = .175. After the six-visit intervention, only 12% of the participants were assessed not to require additional visits.
Conclusions
The studied easily available intervention in school- settings was effective for adolescents with mild to moderate mental disorder symptoms. After the six-week intervention, significant positive effects were observed. The participants reported substantial levels of mental distress at baseline, which could contribute to the relapse of the YP-CORE and symptom mean scores during the follow-up and the need for extended care. Although the YP-CORE scores rose, they did not reach the baseline level indicating that slight positive changes remained.
Functional asymmetry of interleukin-1 and interleukin-6 in focal epilepsy patients
Authors: Varoglu Asuman Orhan , Avarisli Aysenur , Keskin Havva , Erman Hayriye 
Published: November 2022

Abstract
Objective: In the development of epilepsy, interleukin-1 (IL-1) and interleukin-6 (IL-6) play critical roles. We sought to understand the clinical significance of IL-1 and IL-6 by comparing the blood levels of individuals with left-lateralized focal epilepsy and those with right-lateralized focal epilepsy.
Method: Sixty epilepsy patients aged 18–60 with lateralized seizures and 32 healthy controls were included. Clinical and demographic data of patients were collected. We compared the levels of IL-1 and IL-6 of the patients in the interictal period.
Results: Nineteen patients (31.7%) had seizures lateralized to the right hemisphere, while 41 (68.3%) were lateralized to the left hemisphere (p < 0.001). Both IL-1 and IL-6 levels were lower in all patients than in controls (p < 0.001). Both interleukin levels did not significantly differ between right and left-lateralized seizures (p = 0.44). In the left-lateralized seizures, IL-1 levels correlated with epilepsy duration (p = 0.006), onset age (p = 0.050), and prenatal risk (p = 0.028).
Conclusion: Epilepsy patients had lower IL-1 and IL-6 levels than controls. In terms of these interleukins, there was no differentiation between left-lateralized seizures and right-lateralized. The number of patients with lateralized left hemispheres was higher than with the right hemispheres. IL-1 level was correlated with epilepsy duration, onset age, and prenatal risk in the left-lateralized seizures.
Sequential bond energy, binding energy and structures of Be+.(H2)1-3 complexes
Authors: Dawoud Jamal N. 
Published: November 2022

Abstract
The binding energy and structures of the Be cations with H2 molecules are studied theoretically at the level of the MP2 method. In this study, the aug-cc-pVTZ basis set is used to describe the electronic configuration of these atoms in these complexes. The structures of these complexes are determined for the \({Be}^{+}\bullet {\left({H}_{2}\right)}_{1-3}\) complexes. A tee and a vee shaped structure are obtained for mono- and di-ligated complexes, respectively. The tri- ligated complex is found to have trigonal prism geometry. The sequential bond energies of the \({Be}^{+}\bullet {\left({H}_{2}\right)}_{1-3}\) complexes are also examined. Differences in the electrostatic interaction energies and repulsive forces among H2 ligands in these complexes could be the cause of the variety in the observed trend in sequential bond dissociation energy values.
Perspectives on the implications of carrying putative pathogenic variants in the medulloblastoma predisposition genes ELP1 and GPR161
Authors: Smith Miriam J , Woodward Emma R , Evans D Gareth 
Published: November 2022

Abstract
Recent genetic sequencing studies in large series’ of predominantly childhood medulloblastoma have implicated loss-of-function (LoF), predominantly truncating, variants in the ELP1 and GPR161 genes in causation of the MBSHH subtype specifically. The latter association, along with a report of an index case with some features of Gorlin syndrome (GS) has led to speculation that GPR161 may also cause GS. We show that these genes are associated with relatively low absolute risks of medulloblastoma from extrapolating lifetime risks in the general population and odds ratios from the population database gnomAD. The projected risks are around 1 in 270-430 for ELP1 and 1 in 1600-2500 for GPR161. These risks do not suggest the need for MRI screening in infants with ELP1 or GPR161 variants as this is not currently recommended for PTCH1 where the risks are equivalent or higher. We also screened 27 PTCH1/SUFU pathogenic variant-negative patients with GS for GPR161 and found no suspicious variants. Given the frequencies of 0.0962% for GPR161 and 0.0687% for ELP1, neither of these genes can be a cause of GS.
A Novel Approach for Software Defect Prediction using CNN and GRU Based on SMOTE Tomek Method
Authors: Khleel Nasraldeen , Nehéz Károly 
Published: November 2022

Abstract
Software defect prediction (SDP) plays an important role in enhancing the quality of software projects and reducing maintenance-based risks through the ability to detect defective software components. SDP refers to the methods that use historical defect data to build the relationship between software metrics and software defects. Several prediction models such as machine learning (ML), deep learning (DL) have been developed and adopted to recognize defect in software modules and many methodologies and frameworks have been presented. One of the most difficult problems that these models face in binary classification is the classes imbalance. When the distribution of classes is unbalanced, the accuracy may be high, but the model cannot recognize data instances in the minority class, this will lead to weak classifications. So far, few research have been done in the previous studies that address the problem of class imbalance in SDP. To address the class imbalance problem, we propose a novel SDP approach based on convolutional neural network (CNN) and gated recurrent unit (GRU) combined with synthetic minority oversampling technique plus Tomek link (SMOTE Tomek). To establish the efficiency of the proposed models, the experiments have been conducted on benchmark datasets which obtained from the PROMISE repository and the experimental results have been compared and evaluated in terms of accuracy, precision, recall, f-measure, the area under the ROC curve (AUC), the area under the precision-recall curve (AUCPR), mean square error (MSE). The average accuracy of the proposed models on the original datasets were 89% for CNN and 87% for GRU, while the average accuracy of the proposed models on the balanced datasets were 94% for CNN and 92% for GRU. The results showed that the proposed models on the balanced datasets improves the average accuracy by 5% for both models compared to original datasets. This indicates the positive effects of combining ML techniques with data balancing methods on the performance of defect prediction regarding datasets with imbalanced class distributions.
Analytical solution to the steady Navier-Stokes equation for a compressible fluid entrained by a rotating disk of finite radius in the area of boundary layer by means tunnel mathematics (subsonic and hypersonic cases).
Authors: G. Shvydkyi O. 
Published: November 2022

Abstract
At present time the theory of turbulent incompressible and compressible fluids is in whole semi-empirical, and has some extent of untransparency due to complexity of Navier-Stokes equations. Applying of tunnel mathematics allow us to reduce a number of unknown quantities by three at once what is very useful for a hypersonic flow of fluid since the state equation of gas become needless. Solutions obtained by means tunnel mathematics is applicable only in some vicinity of certain z-coordinate but it is very suitable for the area of boundary layer.
This paper is a continuation of tunnel mathematics applying to the problems of fluids entrained by a rotating disk of finite radius in the area of boundary layer. Now we proceed to compressible fluid. The case of incompressible fluid was considered earlier [9]. The principles of application are similar. Especially this concerns to non-slip boundary conditions imposed on a disk surface which remain unchanged. The motion of compressible fluid entrained by a rotating disk of finite radius exhibits complex interaction pattern of main stream and compression and rarefaction simple cylindrical waves propagating in fluid. If the velocity of main stream is subsonic then these simple cylindrical waves propagate in both direction of cylindrical polar r-coordinate, if that is supersonic then they travel only in direction of increasing of r-coordinate. If the velocity of main stream becomes supersonic then forming of a shock wave is possible. Moreover, when the velocity of main stream become comparable with that of sound the considerable heating of the gas and the disk occurs and we then should to deal with the equations of motion in the boundary layer together with the equation of heat transfer in it [1].
We suppose that Reynolds number is large enough and the viscosity has in important effect on the motion of fluid only in a very small region near the disk (Prandtl`s boundary layer). We also suppose that in the subsonic case the fluid and the disk have at beginning approximately the same temperatures and the energy dissipation occurs only by means internal friction.
PRODUÇÃO DE BOLETINS INFORMATIVOS COMO ESTRATÉGIA DE VIGILÂNCIA EPIDEMIOLÓGICA NO CONTEXTO DA PANDEMIA DE COVID-19
Authors: Da Costa Rosa Ivone , Santos Freire de Paula Isabela Cristina , Gomes Pereira Lopes Guilherme , Foggiatto Sinhoca Kelly , Gomes de Oliveira Bellani William Augusto , Gomes Ditterich Rafael 
Published: November 2022

Introdução: O conteúdo de um boletim epidemiológico visa à detecção e o conhecimento da enfermidade em questão, permitindo prevenir e controlar determinantes e condicionantes de saúde em cada indivíduo. Objetivo: O objetivo do trabalho é relatar a experiência dos bolsistas do projeto de extensão “ações extensionistas de prevenção, cuidado e combate à pandemia do novo coronavírus”, na elaboração do “Boletim Informativo - COVID-19 da 2ª Regional de Saúde”. Metodologia: O boletim apresenta a evolução semanal dos casos de COVID-19 nos 29 municípios da 2a Regional de Saúde do Paraná. Sua elaboração é realizada a partir de dados encaminhados pelos municípios para a vigilância em saúde da 2a Regional de saúde, seguindo a semana epidemiológica. Resultados: A divulgação ocorre por plataformas digitais e é disponibilizado diretamente para os gestores dos municípios. Os bolsistas atuam na produção do boletim, auxiliando sua atualização semanal. Conclusões: O boletim epidemiológico é um meio efetivo, seguro e rápido de compartilhamento de informações confiáveis para a população em geral e profissionais de saúde. Contribuindo assim, para o enfrentamento da COVID-19.
Palavras-Chave: Infecções por Coronavirus; Serviços de Vigilância Epidemiológica; Monitoramento Epidemiológico.
MARCADORES DO CONSUMO DE ALIMENTOS ULTRAPROCESSADOS EM CRIANÇAS
Authors: Lucena Naiara , Silva Raiara , Bezerra Mariana , Oliveira Genykléa 
Published: November 2022

RESUMO
Introdução: Os dois primeiros anos de vida da criança são de grande importância para a formação dos seus hábitos alimentares, predispondo ao desenvolvimento adequado e favorecendo a saúde a curto e longo prazo. Assim, a introdução de uma alimentação complementar adequada constitui-se como um fator fundamental para favorecer as escolhas alimentares apropriadas no futuro. Objetivo: Analisar os marcadores do consumo de alimentos ultraprocessados do Sistema de Vigilância Alimentar e Nutricional em crianças de 06 a 24 meses no Brasil entre 2015 e 2018. Metodologia: Trata-se de um estudo ecológico de caráter descritivo. A coleta de dados foi proveniente de base de dados secundários do Sistema de Vigilância Alimentar e Nutricional – SISVAN-Web, cuja população-alvo foram crianças com faixa etária entre 06 e 24 meses de idade, abrangendo ambos os sexos e sem distinção de raça/cor. A análise de dados ocorreu através de estatística descritiva. Resultados: A região Sul se destacou com as maiores médias de consumo de biscoito recheado, doces ou guloseimas (34%), macarrão instantâneo, salgadinhos de pacote ou biscoitos salgados (21,2%) e hambúrguer e/ou embutidos (15,2%). A região Norte apresentou a maior média de consumo de bebidas adoçadas (39,2%) e a região Nordeste se destacou com as menores médias de consumo desses alimentos. No Brasil, notou-se um consumo maior que 50% de alimentos ultraprocessados em quase todos os anos analisados no presente estudo e em quase todas as regiões e a classe mais consumida foi bebidas adoçadas. Conclusões: A partir dos resultados do presente estudo, conclui-se que há uma introdução precoce de alimentos ultraprocessados na alimentação de crianças na faixa etária estudada.
Palavras-Chave: Crianças; Consumo de alimentos; Hábitos Alimentares.
Self-Assembly of Short Amphiphilic Peptides and Their Biomedical Applications
Authors: Chen Cuixia , Zhao Yurong , Le Xiaosong , Gao Tianwen , Wang Li , Wei Feng 
Published: November 2022

Abstract:
A series of functional biomaterials with different sizes and morphologies can be constructed through
self-assembly, among which amphiphilic peptide-based materials have received intense attention. One main
possible reason is that the short amphiphilic peptides can facilitate the formation of versatile materials and promote
their further applications in different fields. Another reason is that the simple structure of amphiphilic peptides
can help establish the structure-function relationship. This review highlights the recent advances in the
self-assembly of two typical peptide species, surfactant-like peptides (SLPs) and peptides amphiphiles (PAs).
These peptides can self-assemble into diverse nanostructures. The formation of these different nanostructures resulted
from the delicate balance of varied non-covalent interactions. This review embraced each non-covalent
interaction and then listed the typical routes for regulating these non-covalent interactions, then realized the
morphologies modulation of the self-assemblies. Finally, their applications in some biomedical fields, such as
the stabilization of membrane proteins, templating for nanofabrication and biomineralization, acting as the
antibacterial and antitumor agents, hemostasis, and synthesis of melanin have been summarized. Further advances
in the self-assembly of SLPs and PAs may focus on the design of functional materials with targeted
properties and exploring their improved properties.