bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep learning based loan eligibility prediction with Social Border Collie Optimization
Authors: Infant Cyril G.L. , Ananth J.P. 
Published: March 2022

PurposeThe bank is termed as an imperative part of the marketing economy. The failure or success of an institution relies on the ability of industries to compute the credit risk. The loan eligibility prediction model utilizes analysis method that adapts past and current information of credit user to make prediction. However, precise loan prediction with risk and assessment analysis is a major challenge in loan eligibility prediction.Design/methodology/approachThis aim of the research technique is to present a new method, namely Social Border Collie Optimization (SBCO)-based deep neuro fuzzy network for loan eligibility prediction. In this method, box cox transformation is employed on input loan data to create the data apt for further processing. The transformed data utilize the wrapper-based feature selection to choose suitable features to boost the performance of loan eligibility calculation. Once the features are chosen, the naive Bayes (NB) is adapted for feature fusion. In NB training, the classifier builds probability index table with the help of input data features and groups values. Here, the testing of NB classifier is done using posterior probability ratio considering conditional probability of normalization constant with class evidence. Finally, the loan eligibility prediction is achieved by deep neuro fuzzy network, which is trained with designed SBCO. Here, the SBCO is devised by combining the social ski driver (SSD) algorithm and Border Collie Optimization (BCO) to produce the most precise result.FindingsThe analysis is achieved by accuracy, sensitivity and specificity parameter by. The designed method performs with the highest accuracy of 95%, sensitivity and specificity of 95.4 and 97.3%, when compared to the existing methods, such as fuzzy neural network (Fuzzy NN), multiple partial least squares regression model (Multi_PLS), instance-based entropy fuzzy support vector machine (IEFSVM), deep recurrent neural network (Deep RNN), whale social optimization algorithm-based deep RNN (WSOA-based Deep RNN).Originality/valueThis paper devises SBCO-based deep neuro fuzzy network for predicting loan eligibility. Here, the deep neuro fuzzy network is trained with proposed SBCO, which is devised by combining the SSD and BCO to produce most precise result for loan eligibility prediction.
Estimating dynamic market efficiency frontiers
Authors: Mu Yali , von Cramon‐Taubadel Stephan 
Published: March 2022

AbstractPast studies have used standard regression techniques to explain variation in estimated measures of the strength and speed of price transmission. We propose an alternative method for benchmarking the magnitude and the speed of restoring market efficiency that combines cointegration analysis with frontier estimation methods. The use of frontier methods highlights that market efficiency is a relative concept, and it provides a convenient way of accounting for sampling error in estimated measures of price transmission. We illustrate the proposed method using price data from 30 provincial pork markets in China from 2000 to 2017. As expected, the frontier magnitude and speed of restoring market efficiency both fall with increasing distance between two markets. We find significant province effects in the magnitude of market efficiency. Provinces located farther to the south and west display lower levels of market efficiency than those located in the northeast and central regions of China.
UAV‐assisted real‐time evidence detection in outdoor crime scene investigations
Authors: Georgiou Argyrios , Masters Peter , Johnson Stephen , Feetham Luke 
Published: March 2022

AbstractNowadays, a plethora of unmanned aerial vehicles (UAVs) designs that significantly vary in size, shape, operating flight altitude, and flight range have been developed to provide multidimensional capabilities across a wide range of military and civil applications. In the field of forensic and police applications, drones are becoming increasingly used instead of helicopters to assist field officers to search for vulnerable missing persons or to target criminals in crime hotspots, and also to provide high‐quality data for the documentation and reconstruction of the forensic scene or to facilitate evidence detection. This paper aims to examine the contribution of UAVs in real‐time evidence detection in outdoor crime scene investigations. It should be highlighted that the project innovates by providing a quantitative comparative analysis of UAV‐based and traditional search methods through the simulation of a crime scene investigation for evidence detection. The first experimental phase tested the usefulness of UAVs as a forensic detection tool by posing the dilemma of humans or drones. The second phase examined the ability of the drone to reproduce the obtained performance results in different terrains, while the third phase tested the accuracy in detection by subjecting the drone‐recorded videos to computer vision techniques. The experimental results indicate that drone deployment in evidence detection can provide increased accuracy and speed of detection over a range of terrain types. Additionally, it was found that real‐time object detection based on computer vision techniques could be the key enabler of drone‐based investigations if interoperability between drones and these techniques is achieved.
Virtual image standard (VIS) for performance evaluation of the congruent matching cells (CMC) algorithms in firearm evidence identifications
Authors: Song Huixu , Song John 
Published: March 2022

AbstractThe congruent matching cells (CMC) method was invented at the National Institute of Standards and Technology (NIST) in 2012 for automatic and objective firearm evidence identifications and estimation of the weight of evidence in firearm evidence identifications. Since 2013, five CMC algorithms have been developed at NIST. In this paper, the virtual image standard (VIS) is proposed through trimming and stitching KNM images for quantitative performance evaluations of different CMC algorithms. The evaluation criteria include the correlation accuracy (both the CMC numbers and distribution pattern), correlation efficiency, false positive (FP) error rate, and the maximum separation of known matching (KM) and known non‐matching (KNM) image pairs. The VIS composes correlation cells from different KNM images, which can provide a ground truth for verifying the CMC numbers, distribution patterns, and FP errors. By identifying three groups of VIS, the Convergence CMC algorithm showed superior performances for the future casework in firearm evidence identifications. Lastly, the success of this study suggests that the VIS could also be used to optimize the correlation parameters, to develop and test new CMC algorithms, and evaluate the performance before it is put into use for firearm examiner’s casework.
Peri‐dialytic hypoglycemia with hemodialysis and online post‐dilutional hemodiafiltration
Authors: Davenport Andrew 
Published: March 2022

AbstractIntroductionWe wished to determine whether peri‐dialytic hypoglycemia is a clinical risk in contemporary dialysis patients using glucose containing dialysate.MethodsWe measured blood glucose pre‐ and post‐hemodialysis or hemodiafiltration, using 5.5 mmol/L glucose dialysate, and body composition by bioimpedance.ResultsTwo hundred and thirty nine patients were studied, mean age 65 ± 15.4 years, 59.4% male, 46.4% diabetes, 81.6% treated by hemodiafiltration, five hemodiafiltration patients (2.1%) had hypoglycemia, with 82 (33%) a blood glucose < 5.5 mmol/L, with fewer diabetics (19.8 vs. 74.7%, p = 0.001), and %body fat (27.7 [20.6–32.6] vs. 34.7 [26.6–42.8]%, p = 0.001). Low post‐dialysis blood glucose was negatively associated with glycated hemoglobin (OR 0.94 [0.84–0.97], p = 0.004), weight (OR 0.94 [0.89–0.98], p = 0.009), and %body fat (OR 0.92 [0.86–0.98], p = 0.013).ConclusionsAlthough hypoglycemia occurred in 2%, 33% had a blood glucose below dialysate glucose. Low post‐dialysis glucose was associated with lower glycated hemoglobin and body fat, suggesting nutritional status is important in determining the risk of peri‐dialytic hypoglycemia.
Hot News: The Florence Resident Reports on the Great Fire of London
Authors: Dooley Brendan , Boerio Davide 
Published: March 2022

AbstractThis paper analyses the European impact and circulation of news concerning the Great Fire of London in 1666. The study dwells on the diplomatic correspondence and manuscript newsletters of Italian diplomats residing in England, on the testimonies of contemporary observers, and on the production of printed news publications. In particular, it analyses the role played by the Tuscan resident in London, Giovanni Salvetti Antelminelli, while investigating the functioning of the information‐gathering process as well as the material and cultural resources put in place in the effort to report news about a disaster. In this regard, the event has been contextualised within a much larger period comprising the pandemic crisis of 1665 and the military campaign carried out by the English Crown during the Second Anglo–Dutch War. The analysis of the European media landscape during this period illuminates the mechanisms related to circulation and transmission of news and the relationship between internal political propaganda, as well as the response and the positioning of external observers in regard to an unexpected occurrence. Finally, comparison of sources allows us to stress the essentially dialectical nature between manuscript newsletters and printed news publications during the early modern period.
The Formidable Machine: Parliament as Seen by Italian Diplomats at the Court of St James's in the First Half of the 18th Century
Authors: Bruschi Ugo 
Published: March 2022

AbstractTo the representatives of Italian states in London, early 18th‐century Britain often remained a puzzle. The Revolution Settlement presented them with the problem of identifying the real source of power, both in order to send home reliable information and to try to secure support for the interests of their princes, who were sometimes desperate for the friendship, or at least the lack of hostility, of Great Britain. An analysis of the weekly despatches and of the final reports drafted by Italian diplomats (namely the representatives of the Savoyard state, the republics of Genoa and Venice, the Duchy of Modena and the Grand Duchy of Tuscany) in the first half of the 18th century offers evidence on their sources of information and on their vision of the political system of the country. Parliament loomed large in their correspondence. News on the activity of the Houses as well as forecasts on the challenge they posed to the ministry were a recurrent theme. To Italian diplomats, parliament was a source of instability. In their eyes, only the rise of a strong premier minister – of which Sir Robert Walpole was the epitome – could tame the fickle assembly in Westminster and bring order, though precariously, to the British polity.
Comprehensive two‐dimensional gas chromatography mass spectrometry‐based untargeted metabolomics to clarify the dynamic variations in the volatile composition of Huangjiu of different ages
Authors: Yu Haiyan , Zheng Danwei , Xie Tong , Xie Jingru , Tian Huaixiang , Ai Lianzhong , Chen Chen 
Published: March 2022

AbstractAging plays an important role in the formation of aroma characteristics of Huangjiu, a traditional Chinese alcoholic beverage. Comprehensive two‐dimensional gas chromatography mass spectrometry (GC×GC‐qMS)‐based untargeted metabolomics combined with a multivariate analysis was used to investigate the dynamic variations in the aroma profile of Huangjiu during aging process and to establish the relationship between the changing volatile metabolite profiles and the age‐dependent sensory attributes. A total of 144 volatile metabolites were identified by GC×GC‐qMS and 63 were selected as critical metabolites based on variable importance in projection values and p‐values. Based on the results of principal component analysis, orthogonal partial least‐squares discriminant analysis, and hierarchical clustering analysis, the samples of six different ages were divided into three groups: 1Y and 3Y samples, 5Y and 8Y samples, and 10Y and 15Y samples. The partial least‐squares analysis results further revealed the relationship between the aromas attributes and variations of these volatile compounds. The high esters, aldehydes, and lactones contents contributed to the high intensities of the sweet and ester aroma attributes of the aged Huangjiu, while the high alcohols and ethyl esters contents contributed to the alcoholic and fruity aroma attributes of the newly brewed Huangjiu. These results improve our understanding of the chemical nature of the aroma characteristics of aged Huangjiu.Practical ApplicationHuangjiu is often labeled with its age as a measure of quality, which influences consumers’ choice. Dynamic variations in volatile compounds of Huangjiu during aging and its contribution to the aroma characteristics of Huangjiu were figured out, which will assist the industry to produce better quality aged Huangjiu for consumers.
The gender imbalance in Interventional Radiology in Australia and New Zealand
Authors: Moriarty Heather K. , Clements Warren , Zia Adil , Connor Brigid , Goh Gerard S. 
Published: March 2022

AbstractIntroductionThere are few female Interventional Radiologists worldwide and this is a significant issue for many countries. There is little known about the current status and attitudes to women in Interventional Radiology in Australia and New Zealand. The purpose of this study was to explore the gender balance, workforce challenges and perceptions towards women in Interventional Radiology in Australia and New Zealand.MethodsAn anonymised voluntary survey exploring the current demographics of Interventional Radiologists and opinions on multiple gender issues in Interventional Radiology was conducted. The survey was sent to all members of the Interventional Radiology Society of Australasia. Statistical analysis was performed using independent samples t‐tests, the non‐parametric Mann–Whitney U testing and proportions of binary variables using logistic regression.ResultsSeventy seven responses were received, 83% males and 17% females. The majority of participants worked full time (83%) and identified as an Interventional Radiologist with/without some sessions of diagnostic radiology per week (83%). There was general consensus in many issues; however, males tended to disagree more than females that female IRs are treated differently than male IRs (p < 0.037), and that male IRs are paid more than female IRs (P = 0.020). Females agreed it was harder for female IRs to gain academic or clinical promotion; however, males disagreed (P < 0.001).ConclusionThere is a clear gender imbalance in Interventional Radiology in Australia and New Zealand. Multiple issues should be investigated and addressed by the major stakeholders such as the Royal Australian and New Zealand College of Radiologists and the Interventional Radiology society of Australasia.
Management of severe vulval lichen sclerosus with adalimumab
Authors: Manuelpillai Nicholas , Saunders Helen , Veysey Emma 
Published: March 2022

ABSTRACTVulval Lichen Sclerosus (VLS) is a chronic inflammatory dermatosis that significantly impacts the quality of life. We report 2 cases of severe treatment‐resistant VLS treated with subcutaneous adalimumab. One patient showed modest clinical improvement with no significant improvement in quality‐of‐life measures. The second patient showed a significant improvement in both clinical and quality‐of‐life measures. Both patients achieved optimal control with a maintenance dosing of 40 mg subcutaneously weekly. Adalimumab may be a treatment option for recalcitrant VLS; however, clinical trials are required to confirm efficacy for this indication.
Immunopathogenesis of endometriosis: An overview of the role of innate and adaptive immune cells and their mediators
Authors: Moghaddam Maryam Zare , Ansariniya Hossein , Seifati Seyed Mohammad , Zare Fateme , Fesahat Farzaneh 
Published: March 2022

AbstractBackgroundEndometriosis is a chronic inflammatory disease associated with the growth and proliferation of endometrial‐like tissues outside the uterus. Although the exact etiology and mechanism of the pathogenesis of the disease have not been fully elucidated, the immune system cells and the mediators produced by them can be named as effective factors in the onset and progression of the disease.AimsWe aim to attempt to review studies on the role of the immune system in endometriosis to better understand the pathogenesis of endometriosis.ContentAbundant production of inflammatory mediators by neutrophils and macrophages and reduced cytotoxicity of defined cells promote endometriosis at the early stages of the disease. Following an increase in the inflammation of the environment, the body takes compensatory mechanisms to reduce inflammation and establish homeostasis. For this purpose, the body produces remodeling and anti‐inflammatory factors leading to slow conversion of the inflammatory environment into a non‐inflammatory environment with proliferative and immunosuppressive properties. Environmental conditions induce M2 macrophages, TH2 cells, and Tregs differentiation, promoting disease progression by producing angiogenic and immunosuppressive factors. However, the exact molecular mechanism involved in changing inflammatory to non‐inflammatory conditions is not yet fully understood.ImplicationsDue to the common characteristics of endometriotic cells and cancer cells, most potential treatment options for endometriosis have been suggested due to the results of these methods in the treatment of cancer. In this pathway, immune system cells and soluble mediators can be used as targets.
New multivariable prediction model PEdiatric SEpsis recognition and stratification (PESERS score) shows excellent discriminatory capacity
Authors: Solé‐Ribalta Anna , Launes Cristian , Felipe‐Villalobos Aida , Balaguer Mònica , Luaces Carles , Garrido Roser , Bobillo‐Pérez Sara , Girona‐Alarcón Mònica , Valls Ana , Cambra Francisco José , Esteban Elisabeth , Jordan Iolanda 
Published: March 2022

AbstractAimTo develop a quantitative predictive scoring model for the early recognition and assessment of paediatric sepsis.MethodsProspective observational study including emergency department and in‐hospital febrile patients under 18 years. Sepsis diagnose (Goldstein 2005 definitions) was the main outcome. Variables associated with the outcome were included in a multivariable analysis. Cut‐off points, odds ratio and coefficients for the variables kept after the multivariable analysis were identified. The score was obtained from the coefficients, The AUC was obtained from ROC‐analysis, and internal validation was performed using k‐fold cross‐validation.ResultsThe analysis included 210 patients. 45 variables were evaluated and the bivariate analysis identified 24 variables associated with the outcome. After the multivariable regression, 11 variables were kept and the score was obtained. The model yielded an excellent AUC of 0.886 (95% CI 0.845–0.927), p < 0.001 for sepsis recognition. With a cut‐off value of 5 for the score, we obtained a sensitivity of 98%, specificity of 76.7%, positive predictive value of 87.9% and negative predictive value of 93.3%.ConclusionThe proposed scoring model for paediatric sepsis showed adequate discriminatory capacity and sufficient accuracy, which is of great clinical significance in detecting sepsis early and predicting its severity. Nevertheless external validation is needed before clinical use.
The continuum of strategic philanthropy: Rationalizing the context for philanthropy in business and society
Authors: Saiia David , Schwartz Mark S. 
Published: March 2022

AbstractIn order to further enhance our understanding of strategic philanthropy within business and society, our paper proceeds as follows. First, we discuss the process driving evolutionary change in philanthropy. Next, we discuss the actual development of strategic philanthropy. This includes a brief US history of salient events in corporate giving, with attention paid to the regulatory, business, and social contexts related to corporate giving. Finally, in the discussion section, we present a modified continuum of corporate giving, based on previous research and our analysis, extending from a focus on bettering society, on the one hand ‐ to that of advancing the firm's interests, on the other.
Transnational migration entrepreneurship during a crisis: Immediate response to challenges and opportunities emerging through the COVID‐19 pandemic
Authors: Harima Aki 
Published: March 2022

AbstractThe COVID‐19 pandemic has affected transnational migrant entrepreneurs due to deglobalization. It has limited their cross‐border mobility as well as collapsed the international value chain; their multiple embeddedness, which requires them to cope with two or more contexts; and the nature of transnational businesses, which are often more vulnerable than others. While entrepreneurship scholars have rapidly responded to the pandemic, its impact on this specific type of entrepreneur has not been investigated. This exploratory, interview‐based study identified three patterns of the entrepreneurial response of transnational migrant entrepreneurs to the pandemic: (1) balancing between multiple institutions, (2) mobilizing transnational social capital, and (3) adapting transnational value creation. Furthermore, this study identified factors on the individual, network, and macro levels that influence transnational migrants' entrepreneurial response to the pandemic. This study's findings revealed how entrepreneurs leverage cognitive flexibility and resource advantages from their multiple embeddedness to mitigate the adverse situation, find alternative strategic orientations, and explore and exploit emerging opportunities during the pandemic. The results of this study contribute to the emerging scholarly discussions on entrepreneurship under the COVID‐19 pandemic by elaborating on the unique contexts and entrepreneurial agents as well as add value to the literature on transnational migrant entrepreneurs by exploring their crisis response.