bluuebunny/crossref_metadata_2025_split huggingface dataset:
Privacy matters
Authors: Kettl Julian , Schäfer Klaus , Buchauer Niklas 
Published: May 2021

ZusammenfassungFinanztransaktionen werden zunehmend online abgewickelt, generell scheinen FinTechs das traditionelle Bankgeschäft zu verdrängen. Damit stellt sich vermehrt die Frage, inwiefern der Schutz personenbezogener Daten bei Online-Finanzdienstleistungen in der Wahrnehmung des Kunden als Differenzierungsmerkmal gesehen werden kann. Welchen Wert haben diese Daten aus Sicht der Bankkunden? Lassen sie sich durch Finanzdienstleister monetarisieren? Der vorliegende Artikel zeigt mithilfe der Präferenzmessmethode Choice-Based-Conjoint-Analyse, dass Studierende im Allgemeinen großen Wert auf den Schutz ihrer Privatsphäre legen und bereit sind, eine deutlich höhere monatliche Grundgebühr zu akzeptieren, wenn ihre Daten ausreichend von dem Zugriff Dritter geschützt sind. Schon wenige, besonders relevante Eigenschaften eines Girokontos (v. a. Datenschutz & Privatheit sowie Grundgebühr) tragen dazu bei, dass sich Studierende für ein bestimmtes Girokonto entscheiden. Der Wert, den Studierende der Privatsphäre beimessen, hängt dabei von verschiedenen Faktoren, wie der Vorerfahrung mit Online-Finanzdienstleistungen oder dem Geschlecht der jeweiligen Person, ab.
Existenzielle Angst in existenzieller Psychotherapie und Seelsorge
Authors: Herden Manuela 
Published: May 2021

ZusammenfassungDer Diskurs zu Spiritual Care findet traditionell häufig über die Bezugsdisziplinen Theologie und Religionswissenschaften, Seelsorge, Psychologie und Soziale Arbeit statt.In einer modernen säkularisierten Welt stellt sich die Frage, ob oder wie Spiritual Care Menschen betrifft, die keinen oder zumindest keinen bewussten Bezug zu Spiritualität und Religion haben. Inwiefern könnten z. B. philosophische Elemente eine Rolle in der professionellen Fürsorge spielen und wo verlaufen möglicherweise Grenzen der säkularen Hilfe?Der Artikel beschreibt eine Art der säkularen, philosophisch fundierten Begleitung in Anlehnung an die Existenzielle Psychotherapie Irvin D. Yaloms. Ihr wird der theologisch-philosophische Ansatz Paul O.J. Tillichs gegenübergestellt.
Dynamics of contraceptive use among women attending multi-speciality hospital in Faridabad district of Haryana
Authors: Mendiratta Shweta , Kamble Bhushan D. , Thukral Pooja Chaudhary 
Published: May 2021

Background: Population of India is growing at a very fast rate while its resources are limited which will lead to decrease in per capita availability of resources. Contraceptive methods are the simplest way to address this issue of population explosion by preventing the unwanted pregnancies. The objective of this study was to assess awareness and practices regarding contraceptive use and its determinants among women attending gynecology OPD of multi-specialty hospital in Faridabad district of Haryana. Methods: A cross-sectional study was planned among 200 patients from gynecology OPD in a multi-specialty hospital of Faridabad district of Haryana. The questionnaire consisted of questions about socio-demographic data and data related contractive awareness and practices. Data was analyzed by SPSS software version 21.0.Results: Mean age of study subjects was 29.4±4.3 years. Out of 200 participants, about one fourth (77.5%) were aware about contraception and more than half (59.5%) of them were using contraception methods. Factors like age and education status, occupation and area of residence were found to be statistically significantly (p<0.001) associated with contraception knowledge and practice. Barrier method was most common method of contraception followed by Oral contraceptive pills.Conclusions: This study concludes that knowledge about contraception was high as about one fourth (77.5%) were aware about contraception while practice of contraception was relatively low as compare to knowledge as two fifth (40.5%) of them were not using any contraception methods. So, there is a need to increase awareness about importance of contraception practice among study population.
The Socio-Demographic and Clinical Profiles of Adult ADHD Patients in a University Hospital in Oman
Authors: Mirza Hassan , Al-Huseini Salim , Al-Jamoodi Shamsa , Al-Balushi Naser , Al-Hosni Amira , Chan Moon-Fai , Zadjali Fahad 
Published: May 2021

Objectives: Although typically considered a condition affecting children, scientific evidence has shown that 30–50% of those diagnosed with ADHD in childhood continue to suffer from this condition after the age of 18. This study sought to address the gap in the literature, and to describe the socio-demographic and clinical characteristics of ADHD patients in a sample of adult patients attending an outpatient clinic at a tertiary care hospital in Oman, and to evaluate their association with the different subtypes of the disorder. Methods: Data from adult patients with ADHD from the outpatient clinic at Sultan Qaboos University Hospital (SQUH), Muscat, Oman, were retrospectively collected from medical records from January 2018 to April 2020. Socio-demographic characteristics, clinical profiles and psychiatric co morbidities were examined. Results: This study included 100 adults who fulfilled the standard diagnosis of ADHD, with 54% (n=54), and 46% (n=46) from the inattentive and combined subtypes, respectively. It was found that ADHD was more prevalent among males (64.0%) compared to females (36%), with the inattentive subtype being more predominant among females. The ADHD patients with the inattentive subtype were associated with co-morbid substance use disorders (OR=11.29, P = 0.049), personality disorders (OR=7.96, P = 0.017), and major depressive disorder (OR=15.94, P = 0.002) compared to patients with the predominantly combined subtype. Conclusion: This study from Oman echoes the findings from the current literature, that adult patients with ADHD commonly have co-morbid psychiatric disorders, leading to significant functional impairment. Psychiatric co-morbidities must be identified and urgently treated, to allow for better clinical and functional outcomes in adult patients with ADHD.
Keywords: ADHD, co-morbidity, hyperactivity, Oman, psychiatry
Water-Shutoff Technique Extends Productive Life Cycle of Cretaceous Sandstone
Authors: Carpenter Chris 
Published: May 2021

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 199070, “Water-Shutoff Technique Extends the Productive Life Cycle of Cretaceous U Sandstone: The Iro Field Case in Ecuador,” by Luis Roberto Bailón, SPE, Ney Holger Orellana, SPE, and Santiago Villegas, Repsol, et al., prepared for the 2020 SPE Latin American and Caribbean Petroleum Engineering Conference, originally scheduled to be held in Bogota, Colombia, 17-19 March. The paper has not been peer reviewed.
The water-shutoff technique is used in some wells of the U reservoir in the Iro field of the Oriente Basin in Ecuador as a remediation plan to restore production after an early water breakthrough. The production historical data, workovers, and sand-body correlation of wells are compared to understand reservoir behavior, shale-baffle-sealing continuity, the existence of different sand units, and the effect on production.

Introduction
The Iro field is in the south of Block 16. Production began in March of 1996. Iro is considered a mature field that produces heavy crude oil. The U sand-stone reservoir at Iro field is constituted by quartz grains subtransparent with fine grain sizes to medium, moderately classified, occasionally clay-like matrix. A thin limestone layer subdivides the U sandstone reservoir into two main stratigraphic units, Upper U and Lower U sandstone. Logging acquisition during the drilling campaign revealed heterogeneous sand-body deposition throughout the field. Depositional features of fluvial channels are developed from the base of the reservoirs, which are overlaid by sand bars. In addition, interbedded shale layers and baffles are present in the U reservoir, in some cases locally. However, the main shale layers are effective seals when they subdivide the Upper and Lower U sandstone units into two or more subunits. A good example is the shale layer that separates channels and bars in the Lower U sandstone unit. This identification was possible after the development of the well-drilling campaign, well correlation, and years of production behavior. Two subunits of the Lower U reservoir, Ui1 and Ui2, were classified as a result of the acquired data.

Cased-Hole Logs (Pulsed Neutron)
Given the maturity of the fields, during the last 2 years, a logging campaign of pulsed-neutron cased-hole logs has been performed. In the case of the Iro field, pulsed-neutron logs were run in six wells; three of these reached the Lower U reservoir. These three wells have a good correlation between the analog density and neutron curves of the cased-hole and the original openhole curves, providing certainty in the reading of the tool.
The logging program obtained data of chemical-element spectra in capture and inelastic modes. This information was processed and analyzed to derive hydrocarbon saturation. In this way, by-passed oil can be identified as well as reservoir zones already drained by production of the same wells or by neigh-boring wells. Data in the Lower U reservoir show fluid movement.
AI, Data Analytics Enable Approach to History Matching in Geologically Complex Field
Authors: Feder Judy 
Published: May 2021

This article, written by JPT Technology Editor Judy Feder, contains highlights of paper SPE 202460, “History Matching of Production Performance for Highly Faulted, Multilayered, Clastic Oil Reservoirs Using Artificial Intelligence and Data Analytics: A Novel Approach,” by Nis Ilyani Mohmad and Dipak Mandal, SPE, Petronas, and Hadi Amat, Petroliam Nasional, et al., prepared for the 2020 SPE Asia Pacific Oil and Gas Conference and Exhibition, originally scheduled to be held in Perth, Australia, 20-22 October. The paper has not been peer reviewed.
History matching is a critical step for dynamic reservoir modeling to establish a reliable, predictive model. Numerous approaches have emerged over decades to accomplish a robust history-matched reservoir model. As geological and completion complexity of oil and gas fields increase, building a fully representative predictive reservoir model can be arduous to almost impossible. The complete paper outlines an approach to history matching that uses artificial intelligence (AI) with an artificial neural network (ANN) and data-driven analytics. The new approach has been used to mitigate history-matching challenges in a mature, highly geologically complex field offshore Malaysia.

Overview
The complete paper describes a step-by-step methodology for building a reservoir model and a history-matching process using ANN. The paper discusses data preparation and quality assurance and control (QA/QC), spatiotemporal database formulation, reservoir model design, ANN architecture design, model training, and history-matching strategy. A case study of implementation in an offshore Malaysian field is presented, wherein good-to-fair history-matching quality was obtained for all production parameters.
Field A is a highly geologically complex, 25×75-km oil sandstone reservoir with more than 200 major and minor faults and more than 30 reservoir layers. It has been producing for more than 25 years.
The challenges of history matching this field lie not only in its geologically complex structure and corresponding subsurface uncertainties, but also in a production strategy that has involved commingled dual-string production with several integrity issues that exacerbate the field’s complexities. To date, Field A has no fieldwide history-matched reservoir model because the complexity of history matching has precluded using conventional numerical simulation methods. This challenge has been mitigated by implementing an AI-based reservoir model and data analytics. The new approach is estimated to be more time- and cost-efficient than the conventional method.
The complete paper compares the AI-based and conventional numerical reservoir modeling approaches and highlights the advantages, limitations, and areas of improvement of the new methodology. The authors present their case for AI-based reservoir modeling as a complement or alternative to conventional numerical modeling to create time-efficient reservoir models while reducing risk in field-development plans.
Evaluation of Two Wild Castor (Ricinus Communis L.) Accessions for Cadmium Tolerance in Relation to Antioxidant Systems and Lipid Peroxidation
Authors: Yeboah Akwasi , Lu Jiannong , Gu Shuailei , Haiyan Liu , Shi Yuzhen , Amoanimaa-Dede Hanna , Agyenim-Boateng Kwadwo Gyapong , Payne Joseph , Yin Xuegui 
Published: May 2021

Abstract
The present study was conducted to assess the effect of toxicity of cadmium (Cd) on growth, tolerance index (TI), antioxidant activities, and malondialdehyde (MDA) content in two contrasting wild castor accessions (16–024 and S2-4) via hydroponic experiment (0 and 100 mg/L Cd). The results showed that Cd significantly reduced the growth rate, seedling height, root length, and shoot length of the castor accessions compared to control, with the Cd effect being more severe in S2-4 than in 16–024. In addition, biomass response including the root and shoot fresh weight and root dry weight decreased in both accessions compared to control. Shoot dry weight of 16–024 increased (p > 0.05) by 2.04 % compared to S2-4 which declined by 21.07 %, suggesting a minimal effect of Cd and a level of tolerance in 16–024. Analysis of TI on all the growth parameters and biomass content revealed that accession 16–024 was highly tolerant to Cd stress than S2-4. The results further revealed that the expression of the antioxidant enzymes viz., superoxide dismutase (SOD), catalase (CAT), non-enzymatic antioxidant; glutathione, and MDA content, were influenced by genotype. S2-4 exhibited a higher antioxidant activity (SOD, CAT) and lipid peroxidation activity than 16–024, indicative of oxidative damage from Cd stress.
Deterministic lightpath scheduling and routing in elastic optical networks
Authors: Vyas Upama 
Published: May 2021

Abstract
A huge torrent of information being generated from various heterogeneous applications and services is passing to and from the Internet backbone. Accommodating such heterogeneity and preserving the quality of service (QoS) of each traffic profile is a challenging task for operators. The heterogeneous traffic profile (HTP) considered in this work includes permanent lightpath demands (PLDs) and scheduled lightpath demands (SLDs). We propose various distance adaptive routing and spectrum assignment (DA-RSA) heuristics to resolve resource conflict among these two traffic profiles in elastic optical networks (EONs) under a full sharing environment. Conventionally, preemption was the only technique to resolve such conflict and ensure QoS for HTPs. Since excessive preemption leads to poor performance and lowers the degree of customer satisfaction, this work aims at reducing the preemption of demands. In order to do this, we propose to utilize bandwidth splitting as an alternative solution in such situations. Moreover, an integrated solution consisting of splitting and preemption is also proposed. We call this new integration as flow-based preemption. The simulation results demonstrate that utilizing splitting in place of preemption yields significant improvement in terms of all metrics of interest. Moreover, flow-based preemption is proved to be superior in performance than the only splitting-based solution. To the best of our knowledge, this is the first work addressing resource conflicts under a full-sharing environment by focusing on resource utilization at the link and node level. We believe that proposed heuristics support network operators to smoothly orchestrate network resources in the presence of such HTPs.
The Role of Catastrophizing in the Benefits of Walking on Fatigue in Women with Fibromyalgia
Authors: Sanromán Lucía , Catalá Patricia , Ecija Carmen , Suso-Ribera Carlos , Román Jesús San , Peñacoba Cecilia 
Published: May 2021

Abstract
Background

Walking is one of the most beneficial treatments for fibromyalgia patients. On the other hand, pain catastrophizing is one of the main cognitive processes that these patients present. However, it is not known how this process may affect the relationship between walking and fatigue. Therefore our goal is to analyze the associations between fatigue, catastrophizing, and walking in fibromyalgia patients, and to explore the moderation effect of walking in the association between catastrophizing and fatigue.
Methods

A cross-sectional study was carried out with 234 women with fibromyalgia older than 18 years. We use Multidimensional Fatigue Inventory for asses fatigue and Pain Catastrophizing Scale for pain catastrophizing (differentiating between its three dimensions, namely rumination, magnification, and helplessness). An ad-hoc self-reported item was used to evaluate walking. We perform the moderation analyses with walking as moderator.
Results

Walking moderated the relationship between rumination and fatigue (Beta = 0.21 t = 2.24, p = 0.26) and that of magnification with fatigue (Beta = 0.26, t = 2.1, p = .036). Specifically, that rumination and magnification only contributed to more fatigue when patients engaged in walking behavior. Helplessness contributed to more fatigue independently of adherence to walking (Beta = 0.12, t = 2.1, p = .036).
Conclusions

Patients who did not walk were highly fatigued irrespective of their cognitive profile (rumination and magnification only contributed to fatigue when patients walked). Therefore, in the field of personalized treatments, different recommendations should be provided about fatigue management in implementing walking and in its maintenance in the long term in fibromyalgia patients.
Relation Between Malnutrition and the Presence of Symptoms of Anxiety and Depression in Hospitalized Cancer Patients
Authors: Torralvo Francisco Jose Sanchez , Bolívar Victoria Contreras , Vico María Ruiz , Fernández José Abuín , Almendros Inmaculada Gonzalez , Barrios Manuel , Olveira Gabriel 
Published: May 2021

Abstract
BackgroundAnxiety and depression are a common issue in patients with cancer, yet understudied among hospitalized patients. The aim of this study was to estimate the prevalence of anxiety and depression symptomatology in cancer inpatients and its relationship with malnutrition. MethodsCross-sectional study in hospitalized cancer patients. A nutritional assessment was done using GLIM criteria to diagnose malnutrition. Data regarding anxiety and depression symptomatology was obtained with the Hospital Anxiety and Depression Scale (HADS).ResultsA total of 282 inpatients were assessed. GLIM criteria found 20% (66) of well-nourished and 80% (216) with malnutrition. HADS presented an average score of 8.3±4.4 with respect to anxiety and an average score of 7.7 ± 4.6 with respect to depression. 54 % showed a possible presence of anxiety and 45.3% showed a possible presence of depression.In malnourished patients, HADS score tended to be higher with respect to anxiety (8.5±4.3 in malnourished vs 7.1 ± 4.6 in well-nourished; p=0.06) and was significantly higher with respect to depression (8.2 ± 4.6 in malnourished vs 5.3 ± 4.0 in well-nourished; p<0.001).After controlling for potential confounders, malnourished patients were 1.98 times more likely to present anxious symptomatology (95% CI 1.01-3.98; p=0.049) and 6.29 times more likely to present depressive symptomatology (95% CI 1.73-20.47; p=0.005).ConclusionsThe presence of anxiety and depression symptomatology in oncological inpatients is high. There is an association between malnutrition and presenting anxious and depressive symptomatology in hospitalized cancer patients.
Scenarios of environmental change in a post-conflict Colombia
Authors: Rosa Isabel , Ochoa-Quintero José , Noguera Elkin , Tamayo Edwin , Pineros Marcelo 
Published: May 2021

Abstract
Colombia is a notorious biodiversity hotspot that came to the spotlight of conservation upon the signing of the peace agreement in 2016. Here we used a counterfactual approach to forecast by 2036 the impact of deforestation on Colombia’s biodiversity and carbon stocks under three scenarios: (1) pre-signing of the peace agreement, (2) post-signing and (3) business-as-usual. We found that if deforestation rates continued at the same pace of post-signing, up to 41,000 km2 of forest area may be lost by 2036, whereas pre-signing rates would save nearly 25,000 km2 (equivalent to the total forest loss observed between 2000 and 2018). Under the pre-signing scenario, between 2018-2036 Colombia would reduce the average impact on the range of forest-specific species by nearly 50% of habitat area relative to 2000-2018, whereas under the post-signing scenario, it would increase by 33%. Moreover, losses of 312-807 Mm3 of growing stock volume and 267-688 Mt of aboveground biomass were projected by 2036, jeopardizing the country’s commitments towards international conservation as well as climate targets. Importantly, we found a mismatch at the department level on biodiversity and biomass losses, which highlight an urgent need to generate coherent policies at a national level aiming to tackle both issues.
A Hybrid Framework to Prioritize the Performance Metrics of Reconfigurable Manufacturing System: An Integrated Fuzzy AHP–TOPSIS approach
Authors: Pansare Rajesh , YADAV GUNJAN , Nagare Madhukar R 
Published: May 2021

Abstract
The Reconfigurable Manufacturing System (RMS) meets the challenges of dynamic customer demands, technological advancements, and reducing lead time, among other things. It is necessary to have a framework that can assist in increasing RMS adoption as well as evaluating its performance. The present study seeks to develop a hybrid framework for prioritizing performance metrics of RMS that helps the designers of the manufacturing system in decision making. A total of 31 indicators for RMS are identified through a literature survey, the weight of each indicator is computed by Fuzzy-AHP (Analytic Hierarchy Process) method and the Fuzzy-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method is used to prioritize 22 performance metrics of RMS. The findings of the presented study reveal that among all the main indicators; smart factory indicators have the highest weightage followed by strategy and policy indicators. The prioritization of performance metrics shows that lead time, reconfiguration time, and product flexibility are the top three most important performance metrics for RMS. The feasibility and appropriateness of the framework is tested through a case application of the manufacturing organization. The framework developed has a high capacity to assist designers during the adoption of the RMS and will facilitate the identification of the relevant parameters. Authors believe that researchers and professionals will find this study as a ready reference for stepwise adoption of RMS. The study presented here is likely the first to present a hybrid framework in which a set of indicators and performance metrics are presented together.