bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using the electron spin resonance to detect the functional centers in materials for sensor devices
Authors: D’Arienzo Massimiliano , Morazzoni Franca , Ruffo Riccardo , Scotti Roberto 
Published: March 2021

AbstractThe paper reports and comments the results of several electron spin resonance investigations, performed on semiconductor oxides for gas sensing. The main aspects, related to the comparison between spectroscopic and electric data, are concerning on (i) the role of the oxide defects in interacting with the gas atmosphere; (ii) the origin of the sensing enhancement, which follows the doping of the oxide by transition metal ions; and (iii) the effects of different particle morphology and of the controlled particle shape on the sensing functionality. The electron spin resonance results have been associated, when possible, to those deriving from X-ray photoelectron spectroscopy, in order to investigate the electronic configuration of the transition metal centers. Special emphasis has been deserved to the oxide synthesis procedures, in several cases well related to the electrical response. The data have been drawn from several studies, performed in different time periods, and have been compared to suggest a possible common interpretation of the sensing mechanism, based on either electronic or morphological properties.
Evaluating the Pharmacoeconomic Impact of Nutrient Supplementation Post-operatively on Patients Receiving Roux-Y Gastric Bypass vs. Biliopancreatic Diversion with Duodenal Switch
Authors: van Vollenstee Fiona A. , van der Merwe Maria T. 
Published: March 2021

Abstract
Background
Without the needed medical support, bariatric surgery can be associated with post-operative malnutrition and associated nutrient deficiencies. We aimed to evaluate the cost difference of perioperative infusion requirements and TPN between GBP and BPD-DS.

Methods
All patients undergoing GBP or BPD-DS procedures between August 2015 and June 2018 were included. Information was collected to standardize the nutritional information into two categories: (1) oral supplementation and standard intravenous infusions, as predicted costs forming part of preoperative quote and (2) infusions prescribed for malnutrition, based on blood biochemistry, caterized as unexpected costs.

Results
A total of 573 patients over 3 years (GBP 60%, BPD-DS 40%) were included in the analysis. The average predicted costs from oral supplementation for both surgery groups and prophylactic infusions for BPD-DS were GBP (46.90USD) vs. BPD-DS (154.13 USD) (p-value = NS). Unexpected costs for infusions to correct nutritional deficiencies were GBP (199.14 USD) vs. BPD-DS (127.29 USD) (p-value = NS). TPN incidence rate was GBP (2.1%) and BPD-DS (12.7%) (p-value < 0.001) and admission rate per patient was GBP (0.9) and BPD-DS (0.63) (p-value < 0.05). Costs for acquiring TPN were GBP (153.58 USD) vs. BPD-DS (268.76 USD). Total unexpected costs were GBP (352.72 USD) vs. BPD-DS (396.05 USD) (p-value = NS).

Conclusion
Nutrient deficiencies are known to occur within both GBP and BPD-DS surgeries, even up to 3 years. The admission rate/patient, requiring TPN, was higher in the GBP group, indicating that BPD-DS surgery can be efficient and cost-effective with holistic and multitherapeutic post-surgery care. BPD-DS procedures should be reserved for centers with a comprehensive and experienced multidisciplinary team enforcing stringent follow-up regimes.
Mathematical optimization in classification and regression trees
Authors: Carrizosa Emilio , Molero-Río Cristina , Romero Morales Dolores 
Published: March 2021

AbstractClassification and regression trees, as well as their variants, are off-the-shelf methods in Machine Learning. In this paper, we review recent contributions within the Continuous Optimization and the Mixed-Integer Linear Optimization paradigms to develop novel formulations in this research area. We compare those in terms of the nature of the decision variables and the constraints required, as well as the optimization algorithms proposed. We illustrate how these powerful formulations enhance the flexibility of tree models, being better suited to incorporate desirable properties such as cost-sensitivity, explainability, and fairness, and to deal with complex data, such as functional data.
Grant Review Feedback: Appropriateness and Usefulness
Authors: Gallo Stephen A. , Schmaling Karen B. , Thompson Lisa A. , Glisson Scott R. 
Published: March 2021

AbstractThe primary goal of the peer review of research grant proposals is to evaluate their quality for the funding agency. An important secondary goal is to provide constructive feedback to applicants for their resubmissions. However, little is known about whether review feedback achieves this goal. In this paper, we present a multi-methods analysis of responses from grant applicants regarding their perceptions of the effectiveness and appropriateness of peer review feedback they received from grant submissions. Overall, 56–60% of applicants determined the feedback to be appropriate (fair, well-written, and well-informed), although their judgments were more favorable if their recent application was funded. Importantly, independent of funding success, women found the feedback better written than men, and more white applicants found the feedback to be fair than non-white applicants. Also, perceptions of a variety of biases were specifically reported in respondents’ feedback. Less than 40% of applicants found the feedback to be very useful in informing their research and improving grantsmanship and future submissions. Further, negative perceptions of the appropriateness of review feedback were positively correlated with more negative perceptions of feedback usefulness. Importantly, respondents suggested that highly competitive funding pay-lines and poor inter-panel reliability limited the usefulness of review feedback. Overall, these results suggest that more effort is needed to ensure that appropriate and useful feedback is provided to all applicants, bolstering the equity of the review process and likely improving the quality of resubmitted proposals.
An appraisal of geohydrological status and assessment of groundwater quality of Indpur Block, Bankura District, West Bengal, India
Authors: Palmajumder Moumita , Chaudhuri Susanta , Das Vikas K. , Nag Sisir K. 
Published: March 2021

AbstractThe present work aimed to evaluate the overall hydro-geological status of Indpur block, Bankura district, West Bengal, India. Despite of having adequate annual precipitation, south-western districts of the state of West Bengal, India, are considered to be a significantly water-stressed area of the state. This is because of unfavorable geological setting near to subsurface occurrence of impervious lithology and inundated nature of surface drainage pattern. The study was carried out both in pre- and post-monsoon seasons of 2019 to obtain an updated current status on concentration and spatiotemporal fluctuations of controlling ions of the subsurface water. Estimation of major physicochemical parameters and specific qualitative chemical characterization of groundwater were rated through field and laboratory studies. Water samples were collected from twenty-two equidistantly scattered tube wells in the block. Seasonal variations of water table elevation heads and subsurface shift of predominant recharge zones of the block were also demarked. Drinking, domestic and irrigation suitability of the block water were measured by the estimation of parameters such as Sodium Adsorption Ratio (SAR), Magnesium Adsorption Ratio (MAR), Soluble Sodium Percentage (SSP), Residual Sodium Carbonate (RSC), Permeability Index (PI), Total Hardness (TH) and Kelly’s ratio (KR) and piper trilinear plots. Sustainable non-availability of groundwater seems to be the major problem of the studied area, which intern resulted in overexploitation, mostly for cultivation practices causing considerable depletion of its suitability as drinking and irrigation. Further, results show that suitability of the water both for domestic and irrigation of the studied area may be termed as ‘good’ to ‘moderate’ with a few exceptions on a local scale. Judging by every parameter, it can be stated that groundwater of Indpur block is not much suitable for drinking purposes.
LIMES: A Framework for Link Discovery on the Semantic Web
Authors: Ngonga Ngomo Axel-Cyrille , Sherif Mohamed Ahmed , Georgala Kleanthi , Hassan Mofeed Mohamed , Dreßler Kevin , Lyko Klaus , Obraczka Daniel , Soru Tommaso 
Published: March 2021

AbstractThe Linked Data paradigm builds upon the backbone of distributed knowledge bases connected by typed links. The mere volume of current knowledge bases as well as their sheer number pose two major challenges when aiming to support the computation of links across and within them. The first is that tools for link discovery have to be time-efficient when they compute links. Secondly, these tools have to produce links of high quality to serve the applications built upon Linked Data well. Solutions to the second problem build upon efficient computational approaches developed to solve the first and combine these with dedicated machine learning techniques. The current version of theLimesframework is the product of seven years of research on these two challenges. A series of machine learning techniques and efficient computation approaches were developed and integrated into this framework to address the link discovery problem. The framework combines these diverse algorithms within a generic and extensible architecture. In this article, we give an overview of version 1.7.4 of the open-source release of the framework. In particular, we focus on an overview of the architecture of the framework, an intuition of its inner workings and a brief overview of the approaches it contains. Some descriptions of the applications within which the framework was used complete the paper. Our framework is open-source and available under a GNU license athttps://github.com/dice-group/LIMEStogether with a user manual and a developer manual.
DFOS Applications to Geo-Engineering Monitoring
Authors: Shi Bin , Zhang Dan , Zhu Honghu , Zhang Chengcheng , Gu Kai , Sang Hongwei , Han Heming , Sun Mengya , Liu Jie 
Published: March 2021

AbstractOptical fiber sensing technology has developed rapidly since the 1980s with the development of the optical fiber and fiber optical communication technology. It is a new type of sensing technology that uses light as a carrier and optical fiber as a medium to sense and transmit external signals (measurands). Distributed fiber optical sensors (DFOS) can continuously measure the external physical parameters distributed along the geometric path of the optical fiber. Meanwhile, the spatial distribution and change information of the measured physical parameters over time can be obtained. This technology has unmatched advantages over traditional point-wise and electrical measurement monitoring technologies. This paper summarizes the state-of-the-art research of the application of the distributed optical fiber sensing technology in geo-engineering in the past 10 years, mainly including the advantages of DFOS, the challenges in geo-engineering monitoring, related fundamental theoretical issues, sensing performance of the optical sensing cables, distributed optical fiber monitoring system for geo-engineering, and applications of optical fiber sensing technology in geo-engineering.
Livestock farmers’ working conditions in agroecological farming systems. A review
Authors: Duval Julie , Cournut Sylvie , Hostiou Nathalie 
Published: March 2021

AbstractThe livestock farming sector is under stress as fewer and fewer people are willing or able to become livestock farmers. Contributing to the decline in attractiveness of the profession are, among other factors, agricultural crises, higher consumer expectations, and difficult working conditions. Agroecology is a sustainable solution that can maintain livestock production and provide positive contributions to society without negatively affecting the environment. Moreover, in its search for social sustainability, agroecological farming could offer better working conditions to farmers and thus contribute to a sustainable future for the livestock farming sector. Here, we review research on livestock farmers’ working conditions in agroecological farming systems. This paper aims to give a comprehensive overview of the available research findings and the dimensions used to describe farmers’ working conditions. The major findings are the following: (i) relatively little published research is available; (ii) it is difficult to compare findings across studies as different dimensions are used to study working conditions and, in certain cases, detailed descriptions of the farming systems are not provided; (iii) certain dimensions were rarely addressed, such as farmers’ health, or work organization; and (iv) in general, farmers’ work is addressed as a component of environmental and economic analyses of the performance of agroecological livestock farming systems, using most often indicators on labor productivity and/or efficiency. Comprehensive multidimensional approaches to study working conditions are lacking, as are studies on the interactions and trade-offs between dimensions (e.g., workload, fulfillment, work organization). To study livestock farmers’ working conditions in agroecological farming systems, we recommend to use a comprehensive approach assessing different dimensions contributing to working conditions, combined with the description of farmers’ activities and work environment.
On establishing qualitative theory to nonlinear boundary value problem of fractional differential equations
Authors: Ali Amjad , Khan Nabeela , Israr Seema 
Published: March 2021

AbstractIn this article, we study a class of nonlinear fractional differential equation for the existence and uniqueness of a positive solution and the Hyers–Ulam-type stability. To proceed this work, we utilize the tools of fixed point theory and nonlinear analysis to investigate the concern theory. We convert fractional differential equation into an integral alternative form with the help of the Greens function. Using the desired function, we studied the existence of a positive solution and uniqueness for proposed class of fractional differential equation. In next section of this work, the author presents stability analysis for considered problem and developed the conditions for Ulam’s type stabilities. Furthermore, we also provided two examples to illustrate our main work.
Surface modification of YS-20 with polydopamine for improving the tribological properties of polyimide composites
Authors: Wu Liangfei , Zhang Zhaozhu , Yang Mingming , Yuan Junya , Li Peilong , Chen Zujun , Men Xuehu 
Published: March 2021

AbstractRecently, great effort has been devoted to prepare various reinforce fillers to improve polymer performances, but ignoring the importance of raw polymer powders which are indispensable parts of hot-pressed polymer composites. Herein, we engineer raw polyimide (PI) powders with the assistance of polydopamine (PDA) in aqueous solutions. After the modification, polymer powders change from hydrophobic to hydrophilic, which makes it is possible to further modification of polymer powders in liquid phase. During the curing process of modified polymer powders, the partial dehydration of the catechol groups and crosslinking of PDA via C-O-C bonds are confirmed. Based on the features of PDA, a non-destructive mixing method is utilized to realize homogeneous dispersion of multi-walled carbon nanotubes (MWCNTs) in polymer matrix. In comparison with ball milling method, this way can preserve the integrated innate structure of MWCNTs effectively. Besides, by taking full advantage of the reducing and metal-coordination capability of PDA, Cu2+ is successfully loaded onto the surfaces of polymer powders. The related characterizations demonstrate that Cu2+in situ converts to metallic copper rather than copper oxide during the hot pressing process. The tribological properties of corresponding polymer composites are also studied. These results indicate that modifying polymer powders with PDA is multi-profit and presents practical application prospect.
Estimated glucose disposal rate as a candidate biomarker for thrombotic biomarkers in T1D: a pooled analysis
Authors: O’Mahoney L. L. , Kietsiriroje N. , Pearson S. , West D. J. , Holmes M. , Ajjan R. A. , Campbell M. D. 
Published: March 2021

Abstract
Purpose
To determine the utility of estimated glucose disposal rate (eGDR) as a candidate biomarker for thrombotic biomarkers in patients with type 1 diabetes (T1D).

Methods
We reanalysed baseline pretreatment data in a subset of patients with T1D from two previous RCTs, consisting of a panel of thrombotic markers, including fibrinogen, tissue factor (TF) activity, and plasminogen-activator inhibitor (PAI)-1, and TNFα, and clinical factors (age, T1D duration, HbA1c, insulin requirements, BMI, blood pressure, and eGDR). We employed univariate linear regression models to investigate associations between clinical parameters and eGDR with thrombotic biomarkers.

Results
Thirty-two patients were included [mean ± SD age 31 ± 7 years, HbA1c of 58 ± 9 mmol/mol (7.5 ± 0.8%), eGDR 7.73 ± 2.61]. eGDR negatively associated with fibrinogen (P < 0.001), PAI-1 concentrations (P = 0.005), and TF activity (P = 0.020), but not TNFα levels (P = 0.881). We identified 2 clusters of patients displaying significantly different characteristics; 56% (n = 18) were categorised as ‘higher-risk’, eliciting significantly higher fibrinogen (+ 1514 ± 594 μg/mL; P < 0.001), TF activity (+ 59.23 ± 9.42 pmol/mL; P < 0.001), and PAI-1 (+ 8.48 ± 1.58 pmol/dL; P < 0.001), HbA1c concentrations (+ 14.20 ± 1.04 mmol/mol; P < 0.001), age (+ 7 ± 3 years; P < 0.001), duration of diabetes (15 ± 2 years; P < 0.001), BMI (+ 7.66 ± 2.61 kg/m2; P < 0.001), and lower mean eGDR (− 3.98 ± 1.07; P < 0.001).

Conclusions
Compared to BMI and insulin requirements, classical surrogates of insulin resistance, eGDR is a suitable and superior thrombotic risk indicator in T1D.

Trial registration
ISRCTN4081115; registered 27 June 2017.
Caratteristiche clinico-patologiche, gestione clinica e prognosi dell’insulinoma maligno: studio multicentrico italiano
Authors: Veltroni Alessio , Cosaro Elisa , Davì Maria Vittoria 
Published: March 2021

SommarioL’insulinoma maligno è un tumore neuroendocrino pancreatico estremamente raro ed è associato a una severa sindrome ipoglicemica che impatta negativamente sulla qualità di vita e sulla sopravvivenza dei pazienti affetti. La gestione terapeutica dell’insulinoma maligno è complessa sia per il controllo delle crisi ipoglicemiche, sia per il controllo della crescita tumorale. La sindrome ipoglicemica rappresenta una sfida terapeutica per l’endocrinologo in quanto spesso non è responsiva alla terapia medica sintomatica, in particolare al diazossido utilizzato in monoterapia o associato agli analoghi della somatostatina. Everolimus ha un ruolo nel trattamento delle crisi ipoglicemiche refrattarie da insulinoma maligno sia per l’azione di inibizione del rilascio di insulina che di insulino-resistenza. La chirurgia con approccio curativo dell’insulinoma maligno è raramente perseguibile a causa della diffusione metastatica, mentre la chirurgia a scopo didebulkingpuò essere presa in considerazione in casi selezionati sia per il controllo sintomatico sia perché può aumentare l’efficacia delle terapie sistemiche o locoregionali. La terapia radiometabolica con analoghi caldi della somatostatina rappresenta un’opzione terapeutica nei pazienti con tumori a elevata espressione dei recettori della somatostatina sia per il controllo della sintomatologia che della crescita tumorale, sebbene l’esperienza negli insulinomi maligni sia piuttosto scarsa. Data la rarità della malattia, sono disponibili in letteratura solo descrizioni di singoli casi o studi condotti su casistiche limitate; pertanto, è difficile stabilire la sequenza terapeutica più efficace in questi casi. Recentemente è stato condotto uno studio multicentrico italiano, in 13 centri di riferimento, focalizzato sulle caratteristiche clinico-patologiche, sulle modalità di trattamento e sui fattori prognostici che condizionano decorso ed esito dell’insulinoma maligno allo scopo di individuare una strategia terapeutica mirata basata su criteri razionali ed evidenze cliniche. In questa rassegna verranno descritti i principali risultati dello studio che comprende una casistica tra le più ampie finora pubblicate.
Nanocellulose-Graphene Hybrids: Advanced Functional Materials as Multifunctional Sensing Platform
Authors: Brakat Abdelrahman , Zhu Hongwei 
Published: March 2021

AbstractNaturally derived nanocellulose with unique physiochemical properties and giant potentials as renewable smart nanomaterials opens up endless novel advanced functional materials for multi-sensing applications. However, integrating inorganic functional two-dimensional carbon materials such as graphene has realized hybrid organic–inorganic nanocomposite materials with precisely tailored properties and multi-sensing abilities. Altogether, the affinity, stability, dispersibility, modification, and functionalization are some of the key merits permitting their synergistic interfacial interactions, which exhibited highly advanced multifunctional hybrid nanocomposites with desirable properties. Moreover, the high performance of such hybrids could be achievable through green and straightforward approaches. In this context, the review covered the most advanced nanocellulose-graphene hybrids, focusing on their synthetization, functionalization, fabrication, and multi-sensing applications. These hybrid films exhibited great potentials as a multifunctional sensing platform for numerous mechanical, environmental, and human bio-signals detections, mimicking, and in-situ monitoring.
Flow-aware synthesis: A generic motion model for video frame interpolation
Authors: Xing Jinbo , Hu Wenbo , Zhang Yuechen , Wong Tien-Tsin 
Published: March 2021

AbstractA popular and challenging task in video research, frame interpolation aims to increase the frame rate of video. Most existing methods employ a fixed motion model, e.g., linear, quadratic, or cubic, to estimate the intermediate warping field. However, such fixed motion models cannot well represent the complicated non-linear motions in the real world or rendered animations. Instead, we present an adaptive flow prediction module to better approximate the complex motions in video. Furthermore, interpolating just one intermediate frame between consecutive input frames may be insufficient for complicated non-linear motions. To enable multi-frame interpolation, we introduce the time as a control variable when interpolating frames between original ones in our generic adaptive flow prediction module. Qualitative and quantitative experimental results show that our method can produce high-quality results and outperforms the existing state-of-the-art methods on popular public datasets.