bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mechanical Properties and Strain Transfer Behavior of Molybdenum Ditelluride (MoTe2) Thin Films
Authors: Chowdhury Shoieb Ahmed , Inzani Katherine , Peña Tara , Dey Aditya , Wu Stephen M. , Griffin Sinéad M. , Askari Hesam 
Published: May 2021

Abstract
Transition metal dichalcogenides (TMDs) offer superior properties over conventional materials in many areas such as in electronic devices. In recent years, TMDs have been shown to display a phase switching mechanism under the application of external mechanical strain, making them exciting candidates for phase change transistors. Molybdenum ditelluride (MoTe2) is one such material that has been engineered as a strain-based phase change transistor. In this work, we explore various aspects of the mechanical properties of this material by a suite of computational and experimental approaches. First, we present parameterization of an interatomic potential for modeling monolayer as well as multilayered MoTe2 films. For generating the empirical potential parameter set, we fit results from density functional theory calculations using a random search algorithm known as particle swarm optimization. The potential closely predicts structural properties, elastic constants, and vibrational frequencies of MoTe2 indicating a reliable fit. Our simulated mechanical response matches earlier larger scale experimental nanoindentation results with excellent prediction of fracture points. Simulation of uniaxial tensile deformation by molecular dynamics shows the complete non-linear stress-strain response up to failure. Mechanical behavior, including failure properties, exhibits directional anisotropy due to the variation of bond alignments with crystal orientation. Furthermore, we show the deterioration of mechanical properties with increasing temperature. Finally, we present computational and experimental evidence of an extended c-axis strain transfer length in MoTe2 compared to TMDs with smaller chalcogen atoms.
Microstructural Design of Graphene Nanocomposites for Improved Electrical Conductivity
Authors: Gbaguidi Audrey , Namilae Sirish , Kim Daewon 
Published: May 2021

Abstract
The electrical conductivity and percolation onset of graphene-based nanocomposites are studied by varying both planar and transversal aspect ratios of graphene nanoplatelets (GNP) fillers using a three-dimensional stochastic percolation-based model. The graphene nanoplatelets are modeled as elliptical fillers to enable planar aspect ratio variations. We find that decreasing the graphite’s thickness results in an exponential performance improvement of the nanocomposites, in contrast to a linear improvement obtained when the planar aspect ratio is increased, for the same filler volume. Furthermore, we show that hybrid nanocomposites fabricated with partial replacement of GNP by carbon nanotube (CNT) may improve the electrical performance of the GNP monofiller composites. Improvement or deterioration of the electrical properties is mainly based on the morphology and content of the fillers mixed in the hybrids. Nonetheless, using a minimal amount of CNT for substitution always leads to the highest improvement in conductivity in the hybrids, while additional CNTs only lead to smaller improvement at best or even deterioration. The results are validated against experimental works and offer useful insights for the fabrication of highly conductive nanocomposites.
Prognostic Analysis of High-Speed Cylindrical Roller Bearing Using Weibull Distribution and k-Nearest Neighbor
Authors: Rathore Maan Singh , Harsha S. P. 
Published: May 2021

Abstract
Bearing remnant operational life can be determined by implementing a data-driven prognostics method. In this work, the bearing run-to-failure data from experimentation on test rig is used to extract time-domain features. The sudden change in time-domain information signifies the fault inception which led to failure stage promptly. The monotonicity metric is utilized to select the optimal feature set that best represents bearing degradation. Principal component analysis (PCA) is used for dimension reduction and fusion, and a unidimensional health indicator (HI) is constructed. Fluctuations of HI are smoothed by fitting it with a Weibull failure rate function (WFRF) and the corresponding parameters are estimated using nonlinear least-squares method. By inverting the model, the predicted time values are calculated, and hence remnant operational life of bearing is evaluated and compared with the actual life from experimental data. The performance assessment metrics utilized are mean absolute percentage error (MAPE), mean-square error (MSE), root-mean-square error (RMSE), and bias. Besides this, an online degradation state classification method using the k-nearest neighbor (KNN) classifier is implemented. The KNN model performance is assessed by constructing receiver operating characteristics (ROC) curve, which indicates the value of area under the curve (AUC) equal to 0.94, representing high accuracy of the KNN. The remaining useful life (RUL) is predicted within 95% confidence limits, and the predicted RUL almost follows the actual one with some fluctuations. The model performance is found promising and can be implemented to evaluate the remaining useful life of bearing.
Investigation of a Novel Solar Powered Trigeneration System for Simultaneous Production of Electricity, Heating, and Refrigeration Below Freezing
Authors: Almatrafi Eydhah , Khaliq Abdul 
Published: May 2021

Abstract
A solar powered trigeneration system consisting of tower solar collector, Kalina cycle with the heat exchanger, and ejector-absorption refrigeration cycle is proposed to produce refrigeration below freezing, electricity, and process heat, simultaneously. Simulation through computational fluid dynamics using ansys-fluent package is conducted to examine the effect of coil diameter and inlet oil temperature on the pressure and temperature of solar heat transfer fluid. It is found that, for inlet temperature of 92 °C and direct normal irradiations of 850 W/m2, the solar heat transfer fluid outlet temperature increases by 9% when the coil diameter increased from 150 to 400 mm. Trigeneration performance is analyzed after altering hot oil outlet temperature, turbine inlet pressure, and the concentration of ammonia–water basic solution to study their effect on power produced by turbine, refrigeration load, exergy of refrigeration, and efficiencies of trigeneration system. An increase in the concentration of the ammonia–water basic solution is leading toward the significant increase in the turbine power and the elevation of trigeneration system’s energy and exergy efficiencies. Bottoming of the Kalina cycle with ejector-absorption refrigeration cycle shows the distribution of solar energy as energetic output 72.31% and energy lost to environment 27.69%. The solar exergy supplied to the trigeneration system is distributed as follows: 16.23% is the exergy produced, 1.62% is the exergy loss, and 82.15% is the exergy destroyed.
Flow Characteristics and Novel Applications of Synthetic Jets: A Review
Authors: Walimbe Pratik , Agrawal Amit , Chaudhari Mangesh 
Published: May 2021

Abstract
Synthetic jets, often abbreviated as “SJs” or “Synjets,” are a type of zero net mass flux (ZNMF) jets, which have gained popularity due to their ability to transfer momentum without transferring mass. This property distinguishes SJs from their counterpart traditional continuous jets. Over a stretch of time, SJs have been employed extensively in applications such as active flow control, impingement heat transfer, and miniature electronics cooling. However, researchers are now slowly extending the frontiers of SJ research and making efforts to utilize excellent properties of SJs in novel applications such as autonomous underwater vehicles (AUVs), marine systems, and bio-inspired propulsion systems. This paper strives to identify the gaps in the current research and the areas that have remained unexplored yet. The article begins with a brief discussion of the origin of SJs, i.e., “acoustic streaming.” Resulting segments talk about the formation criteria and the recent works employing various configurations of orifices and cavities. The paper discusses the critical concepts such as jet impact factor, volumetric efficiency, and propulsive efficiency of synthetic jets. It is followed by introduction of novel flow control systems employing SJs such as gurney flaps, bumps, and electro-active synthetic jets. Finally, the most innovative applications of SJs such as AUVs, unmanned air vehicles, and jetting cavities are also brought out. Pulsatile jet flows found in jellyfish, cephalopod, squid, and salp have been discussed in great detail. The exhaustive discussion on future prospects strives to not only provide the reader with the comprehensive insights into SJs, but also to motivate future researchers to overcome the gaps identified in this paper.
Laser Surface Texturing For Antiviral Surfaces?
Authors: Nagarajan Balasubramanian , Yildirim Kerim , Saravanan Rathi , Castagne Sylvie 
Published: May 2021

Abstract
The coronavirus (COVID-19) pandemic, especially, the transmission of the virus via infected contact surfaces, has put increased emphasis on the need to fabricate antimicrobial surfaces to protect against various deadly pathogens. Laser surface texturing (LST), one of the common surface modification techniques, has been successful for antifouling applications to improve resistance against bacterial adhesion. In this short review, we aim to explore the possibilities of using LST for fabricating surfaces against viruses. The characteristics influencing the interaction of surfaces with virus and bacteria and an overview of antibacterial surfaces created by LST are briefly described first before assessing the current limitations with LST for fabricating antiviral surfaces. Finally, we highlight the potential directions using LST to realize the nanoscale surface features necessary for antiviral surfaces.
Management of two-level proximal femoral fractures
Authors: Vluggen Thom Pauline Maria Johannes , van Vugt Raoul , Boonen Bert , Keulen Mark Hendrik Franciscus 
Published: May 2021

We present the case of an 82-year-old female, who experienced a ground-level fall on the trochanter of the right femur. X-rays showed a proximal femoral fracture (PFF) with an unclear and unusual fracture pattern. Three-dimensional CT images were obtained and showed a displaced femoral neck fracture and ipsilateral fracture of the greater trochanter. Our patient underwent unipolar hemiarthroplasty and fixation of the greater trochanter with a hook plate and cable grip. At 11 months, functional outcomes, patient satisfaction and quality of life were excellent. Primary osteoporosis was diagnosed and treatment with bisphosphonates was initiated.Two-level PFFs are rare and complex. Due to ageing and a subsequent increase in osteoporosis, numbers of PFFs with complex fracture patterns might increase in the future. Adequate treatment and early prevention of osteoporosis are key to reduce this risk and lower the overall burden. Surgical treatment should be patient-tailored and focus on minimising the risk of complications and reinterventions.
Cord serum metabolome and birth weight in patients with gestational diabetes treated with metformin, insulin, or diet alone
Authors: Huhtala Mikael S , Rönnemaa Tapani , Pellonperä Outi , Tertti Kristiina 
Published: May 2021

IntroductionRecent research has demonstrated the benefits of metformin treatment in gestational diabetes (GDM) on short-term pregnancy outcomes (including excessive fetal growth and pre-eclampsia), but its effects on fetal metabolism remain mostly unknown. Our aim was to study the effects of metformin treatment compared with insulin or diet on the cord serum metabolome and also to assess how these metabolites are related to birth weight (BW) in pregnancies complicated by GDM.Research design and methodsCord serum samples were available from 113, 97, and 98 patients with GDM treated with diet, insulin, and metformin, respectively. A targeted metabolome was measured using nuclear magnetic resonance spectroscopy. The patients in the metformin and insulin groups had participated in a previous randomized trial (NCT01240785).ResultsCord serum alanine was elevated in the metformin group (0.53 mmol/L) compared with the insulin (0.45 mmol/L, p<0.001) and the diet groups (0.46 mmol/L, p<0.0001). All other measured metabolites were similar between the groups. The triglyceride (TG)-to-phosphoglyceride ratio, average very low-density lipoprotein particle diameter, docosahexaenoic acid, omega-3 fatty acids (FAs), and ratios of omega-3 and monounsaturated FA to total FA were inversely related to BW. The omega-6-to-total-FA and omega-6-to-omega-3-FA ratios were positively related to BW. Cholesterol in very large and large high-density lipoprotein (HDL) was positively (p<0.01) associated with BW when adjusted for maternal prepregnancy body mass index, gestational weight gain, glycated hemoglobin, and mode of delivery.ConclusionsMetformin treatment in GDM leads to an increase in cord serum alanine. The possible long-term implications of elevated neonatal alanine in this context need to be evaluated in future studies. Although previous studies have shown that metformin increased maternal TG levels, the cord serum TG levels were not affected. Cord serum HDL cholesterol and several FA variables are related to the regulation of fetal growth in GDM. Moreover, these associations seem to be independent of maternal confounding factors.Trial registration numberNCT01240785.
Breastfeeding practice, breastfeeding policy and hospitalisations for infectious diseases in early and later childhood: a register-based study in Uppsala County, Sweden
Authors: Videholm Samuel , Wallby Thomas , Silfverdal Sven-Arne 
Published: May 2021

ObjectiveTo examine the association between breastfeeding practice and hospitalisations for infectious diseases in early and later childhood, in particular, to compare exclusive breast feeding 4–5 months with exclusive breastfeeding 6 months or more. Thereby, provide evidence to inform breastfeeding policy.DesignA register-based cohort study.SettingA cohort was created by combining the Swedish Medical Birth Register, the National Inpatient Register, the Cause of Death Register, the Total Population Register, the Longitudinal integration database for health insurance and labour market studies, with the Uppsala Preventive Child Health Care database.Patients37 825 term and post-term singletons born to women who resided in Uppsala County (Sweden) between 1998 and 2010.Main outcome measuresNumber of hospitalisations for infectious diseases in early (<2 years) and later childhood (2–4 years).ResultsThe risk of hospitalisations for infectious diseases decreased with duration of exclusive breastfeeding until 4 months of age. In early childhood, breast feeding was associated with a decreased risk of enteric and respiratory infections. In comparison with exclusive breast feeding 6 months or more, the strongest association was found between no breastfeeding and enteric infections (adjusted incidence rate ratios, aIRR 3.32 (95% CI 2.14 to 5.14)). In later childhood, breast feeding was associated with a lower risk of respiratory infections. In comparison with children exclusively breastfed 6 months or more, the highest risk was found in children who were not breastfed (aIRR 2.53 (95% CI 1.51 to 4.24)). The risk of hospitalisations for infectious diseases was comparable in children exclusively breastfed 4–5 months and children exclusively breastfed 6 months or more.ConclusionsOur results support breastfeeding guidelines that recommend exclusive breastfeeding for at least 4 months.
Accidental hypothermia in Denmark: A nationwide cohort study of incidence and outcomes
Authors: Wiberg Sebastian , Mortensen Asmus Friborg , Kjaergaard Jesper , Hassager Christian , Wanscher Michael 
Published: May 2021

ObjectivesTo investigate the incidence of accidental hypothermia (AH) in a nationwide registry and the associated outcomes.DesignNationwide retrospective cohort studyParticipants and settingsAll patients at least 18 years old, admitted to hospitals in Denmark with a diagnosis of AH, with an International Classification of Diseases, 10th edition code of T689, from January 1996 to November 2016. Other recorded diagnoses were included in the analyses.Primary and secondary outcome measuresThe primary outcome was 1-year mortality.ResultsDuring the inclusion period, 5242 patients were admitted with a diagnosis of AH, corresponding to a mean annual incidence of 4.4±1.2 (range by calendar year: 2.9–6.4) per 100 000 inhabitants. A total of 2230 (43%) had AH recorded as the primary diagnosis without any recorded secondary diagnoses (primary AH), 1336 (25%) had AH recorded as the primary diagnosis with other recorded secondary diagnoses (AH+2° diagnosis), and 1676 (32%) had AH recorded as a secondary diagnosis with another recorded primary diagnosis (1° diagnosis+AH). Alcohol intoxication was the most common diagnosis associated with AH. Overall 1-year mortality was 27%. In patients with primary AH, 1-year mortality was 22%, compared with 26% in patients with secondary AH type I, and 35% in patients with secondary AH type II (plog-rank<0.001).ConclusionsThe present study investigated the incidence of AH, associated comorbidities and mortality after AH in Denmark from 1995 to 2016. The diagnosis is associated with a high comorbidity burden and a considerable 1-year mortality. In the high proportion of patients with associated comorbidities, establishing whether AH or the comorbidities are the drivers of mortality remains difficult. This complicates our understanding of AH and makes it difficult to find modifiable factors associated with both AH and outcomes. Future prospective studies are needed elucidate the causal relationship between AH and associated comorbidities.
A tipping point in cancer-immune dynamics leads to divergent immunotherapy responses and hampers biomarker discovery
Authors: Creemers Jeroen H A , Lesterhuis W Joost , Mehra Niven , Gerritsen Winald R , Figdor Carl G , de Vries I Jolanda M , Textor Johannes 
Published: May 2021

BackgroundPredicting treatment response or survival of cancer patients remains challenging in immuno-oncology. Efforts to overcome these challenges focus, among others, on the discovery of new biomarkers. Despite advances in cellular and molecular approaches, only a limited number of candidate biomarkers eventually enter clinical practice.MethodsA computational modeling approach based on ordinary differential equations was used to simulate the fundamental mechanisms that dictate tumor-immune dynamics and to investigate its implications on responses to immune checkpoint inhibition (ICI) and patient survival. Using in silico biomarker discovery trials, we revealed fundamental principles that explain the diverging success rates of biomarker discovery programs.ResultsOur model shows that a tipping point—a sharp state transition between immune control and immune evasion—induces a strongly non-linear relationship between patient survival and both immunological and tumor-related parameters. In patients close to the tipping point, ICI therapy may lead to long-lasting survival benefits, whereas patients far from the tipping point may fail to benefit from these potent treatments.ConclusionThese findings have two important implications for clinical oncology. First, the apparent conundrum that ICI induces substantial benefits in some patients yet completely fails in others could be, to a large extent, explained by the presence of a tipping point. Second, predictive biomarkers for immunotherapy should ideally combine both immunological and tumor-related markers, as a patient’s distance from the tipping point can typically not be reliably determined from solely one of these. The notion of a tipping point in cancer-immune dynamics helps to devise more accurate strategies to select appropriate treatments for patients with cancer.
Defect Identification of Pipeline Ultrasonic Inspection Based on Multi-Feature Fusion and Multi-Criteria Feature Evaluation
Authors: Pan Feng , Tang Donglin , Guo Xiansheng , Pan Shengwang 
Published: May 2021

This paper presents a novel model for ultrasonic defect identification relying on multi-feature fusion and multi-criteria feature evaluation (MFF-MCFE). Based on feature extraction, feature selection, pattern recognition and data fusion algorithm, this model analyzes ultrasonic echo signal data from single-probe ultrasonic inspection, and based on wavelet packet transform (WPT), empirical mode decomposition (EMD) and discrete wavelet transform (DWT), the main features from the collected ultrasonic echo signals are also extracted. These features are also evaluated by means of Representation Entropy (RE), Fisher’s ratio (FR) and Mahalanobis distance (MD), and the results are fused with Dempster–Shafer (D-S) evidence theory and the corresponding feature subsets are formed according to the fusion result. The support vector machine (SVM) is used as the classifier to recognize the defect signal, and the subsequent classification results are integrated by D-S evidence theory, which leads to the final recognition results. On this basis, a series of experiments were carried out to compare the performance of the developed model with that of the models using single feature sets and single feature evaluation criterion. Meanwhile, the principal component analysis (PCA) was also involved in the corresponding comparative analysis. The experimental results showed that this model is suitable for the identification and diagnosis of pipeline defects, and its classification accuracy could be reached up to 96.29% with stronger robustness and stability.
Origem e desenvolvimento dos prefixos de- e des-
Authors: Santos Alice Pereira 
Published: May 2021

Este trabalho objetiva resgatar a trajetória de um dos afixos mais produtivos no português atual – o prefixo “des-”. Para tanto, a análise do prefixo “de-” também é requerida, visto que os percursos desses prefixos se entrecruzam em diversos momentos na história da língua. Além de apresentarem semelhanças formais e semânticas, acredita-se que o afixo “de-” esteja na esteira do desenvolvimento do prefixo neolatino “des-”. A fim de levar a cabo esses objetivos, utilizou-se, inicialmente, a base de dados do Dicionário Houaiss (2001). Vale destacar que outros dicionários foram utilizados para aferir e complementar essas informações. O artigo discutirá inicialmente o desenvolvimento do prefixo “de-”; em seguida, apresentar-se-ão as propostas etimológicas a respeito do formante “des-”, indicando sua interseção com alguns elementos formativos de origem latina (de-, dis- e ex), por meio da comparação de construções vocabulares derivadas com esses prefixos. Posteriormente, serão apresentadas as informações dialetológicas, extraídas dos estudos de Leite de Vasconcellos, dispostos nos volumes de Revista Lusitana (1887-1943), com o objetivo de investigar as alternâncias no uso dos prefixos supracitados. Essas etapas são indispensáveis para arquitetar uma proposta etimológica para o prefixo “des-”.