bluuebunny/crossref_metadata_2025_split huggingface dataset:
Value co-creation between consumers and distributors: the moderating effect of relationship characteristics
Authors: Rubio Natalia , Villaseñor Nieves , Yagüe Maria Jesús 
Published: March 2021

PurposeAlthough value co-creation has been widely analyzed in digital contexts and various types of services (tourism, healthcare, etc.), it has received less study in the area of retail distribution. This study proposes that trust in the retailer and perceived support can encourage co-creation behavior on various levels: a basic level related to communication of service errors and a moderate-high level related to participation in service innovation. This study also proposes modeling for two different segments according to the participation in a loyalty program and according to the relationship duration.Design/methodology/approachA survey (N = 644) was used to test the model in the context of the consumer goods retail industry. Confirmatory factor analysis and multigroup structural equation modeling techniques were used to assess the proposed model.FindingsThe results show differences in the formation of co-creation behaviors depending on the customers analyzed. To encourage communication of service errors, customers affiliated to the program and customers with the longest customer-firm relationships must trust the distributor. Perceived support is crucial in encouraging feedback on service errors among non-affiliated and new customers. For promoting service innovation, the most significant antecedent is perceived support, followed by trust, independently of whether or not the customer belongs to the loyalty program. Customers with the longest relationship participate in co-innovation motivated equally by trust and perceived support. Customers with shorter relationship duration only participate in co-innovation if they perceived support.Originality/valueThis study contributes to deepening knowledge of co-creation behavior in the field of retail distribution. To date, research in this context has not considered the existence of various levels of co-creation: the basic level related to feedback on service errors and the moderate/high level related to participation in service co-innovation. Nor have studies tested the influence of trust and perceived support on these co-creation behaviors. Further, this study is the first study to integrate two significant variables that moderate retailers' strategy in the same model: membership in a loyalty program and duration of customer-firm relationship.
Effects of Banafine®, a fermented green banana‐derived acidic glycoconjugate, on influenza vaccine antibody titer in elderly patients receiving gastrostomy tube feeding
Authors: Horie Kenji , Hossain Md. Saddam , Kim Yugweng , Akiko Ishida , Kon Ryoko , Yamatsu Atsushi , Kishima Masako , Nishikimi Toshio , Kim Mujo 
Published: March 2021

AbstractImmunosenescence can negatively affect cytokine production in elderly and may impair poor antibody responses to influenza vaccination and infection. Herein, the effects of Banafine® administration on influenza vaccine antibody titer in elderly patients (average age ∼80 years) receiving gastrostomy tube feeding were examined. In the double‐blind, single‐center, randomized clinical studies, 30 elderly bedridden patients were administered Banafine® or placebo for 8 weeks. At week 4, all patients received influenza vaccination against H1N1, H3N2, B/Yamagata, or B/Victoria. Blood biochemical indices and serum antibody titers were assessed. Banafine® administration significantly increased hemagglutination inhibition titers in response to vaccination against H1N1, H3N2, and B/Yamagata in the elderly patients (P < 0.05). Moreover, the seroconversion rate against H1N1 (47.1%) and H3N2 (29.4%) and seroprotection rate against H1N1 (71.4%) and both B strains (31.3% and 12.5%, respectively) were increased for the Banafine® group. These results suggest that Banafine® administration can increase antibody responses to influenza vaccination in bedridden hospitalized patients, and potentially modulate immune function in the elderly.Practical ApplicationLiterature review suggested that most of the synbiotics are based on innate immunity, strain specific (probiotics), and are not consistently observed. Herein, in clinical studies we demonstrate that administration of Banafine®, a plant‐based glycoconjugate, can increase antibody levels in bedridden hospitalized elderly patients following influenza vaccination.
Model‐based ordination for species with unequal niche widths
Authors: van der Veen Bert , Hui Francis K. C. , Hovstad Knut A. , Solbu Erik B. , O'Hara Robert B. 
Published: March 2021

Abstract

It is common practice for ecologists to examine species niches in the study of community composition. The response curve of a species in the fundamental niche is usually assumed to be quadratic. The centre of a quadratic curve represents a species' optimal environmental conditions, and the width its ability to tolerate deviations from the optimum.

Most multivariate methods assume species respond linearly to niche axes, or with a quadratic curve that is of equal width for all species. However, it is widely understood that some species have the ability to better tolerate deviations from their optimal environment (generalists) compared to other (specialist) species. Rare species often tolerate a smaller range of environments than more common species, corresponding to a narrow niche.

We propose a new method, for ordination and fitting Joint Species Distribution Models, based on Generalized Linear Mixed‐effects Models, which relaxes the assumptions of equal tolerances.

By explicitly estimating species maxima, and species optima and tolerances per ecological gradient, we can better explore how species relate to each other.
Confocal laser scanning microscopic analysis of the penetration of an epoxy resin‐based sealer into dentinal tubules after calcium hydroxide dressing
Authors: Machado Manoel E.L. , Veintimilla Lozada Virginia Natalia , Carrillo Rengifo Karol Jasmin , Guillén Raquel E.G. , Caballero‐Flores Hector , Nabeshima Cleber Keiti 
Published: March 2021

AbstractThis study assessed the penetration of an epoxy resin‐based sealer into dentinal tubules of root canals previously medicated with calcium hydroxide. Sixteen palatal root canals of upper molars were instrumented and distributed into two groups: (G1) root canals medicated with calcium hydroxide and obturated after its removal; (G2) root canals obturated without the use of dressing. Sealer mixed with rhodamine B provided fluorescence for confocal laser scanning microscopy. Measurements of area and linear penetration of the sealer were assessed in three thirds by ImageJ software. The data were statistically compared by Kruskal–Wallis, Dunn’s and Mann–Whitney U tests (P < 0.01). The calcium hydroxide decreased the penetration of the sealer. The coronal and middle thirds had similar areas and linear penetrations in both groups, whereas the apical third had less penetration. In conclusion, the penetration of the epoxy resin‐based sealer is influenced by the calcium hydroxide dressing used between appointments.
Integrative analysis of multiple case‐control studies
Authors: Zhang Han , Deng Lu , Wheeler William , Qin Jing , Yu Kai 
Published: March 2021

AbstractIt is often challenging to share detailed individual‐level data among studies due to various informatics and privacy constraints. However, it is relatively easy to pool together aggregated summary level data, such as the ones required for standard meta‐analyses. Focusing on data generated from case‐control studies, we present a flexible inference procedure that integrates individual‐level data collected from an “internal” study with summary data borrowed from “external” studies. This procedure is built on a retrospective empirical likelihood framework to account for the sampling bias in case‐control studies. It can incorporate summary statistics extracted from various working models adopted by multiple independent or overlapping external studies. It also allows for external studies to be conducted in a population that is different from the internal study population. We show both theoretically and numerically its efficiency advantage over several competing alternatives.
British Association of Urological Surgeons (BAUS) consensus document: Management of female voiding dysfunction
Authors: Biers Suzanne M. , Harding Chris , Belal Mo , Thiruchelvam Nikesh , Hamid Rizwan , Sahai Arun , Parkinson Richard , Barratt Rachel , Ali Ased , Reid Sheilagh ,   BAUS Section of Female, Neurological and Urodynamic Urology
Published: March 2021

ObjectivesTo report the British Association of Urological Surgeon's (BAUS) guidance on the assessment and management of female voiding dysfunction.MethodsA contemporary literature search was conducted to identify the evidence base. The BAUS Section of Female, Neurological and Urodynamic Urology (FNUU) Executive Committee formed a guideline development group to draw up and review the recommendations. Where there was no supporting evidence, expert opinion of the BAUS FNUU executive committee, FNUU Section and BAUS members, including urology consultants working in units throughout the UK, was used.ResultsFemale patients with voiding dysfunction can present with mixed urinary symptoms or urinary retention in both elective and emergency settings. Voiding dysfunction is caused by a wide range of conditions which can be categorized into bladder outlet obstruction (attributable to functional or anatomical causes) or detrusor underactivity. Guidance on the assessment, investigation and treatment of women with voiding dysfunction and urinary retention, in the absence of a known underlying neurological condition, is provided.ConclusionWa have produced a BAUS approved consensus on the management pathway for female voiding dysfunction with the aim to optimize assessment and treatment pathways for patients.
Identifying robust strategies for assisted migration in a competitive stochastic metacommunity
Authors: Backus Gregory A. , Baskett Marissa L. 
Published: March 2021

AbstractAssisted migration (AM) is the translocation of species beyond their historical range to locations that are expected to be more suitable under future climate change. However, a relocated population may fail to establish in its donor community if there is high uncertainty in decision‐making, climate, and interactions with the recipient ecological community. To quantify the benefit to persistence and risk of establishment failure of AM under different management scenarios (e.g., choosing target species, proportion of population to relocate, and optimal location to relocate), we built a stochastic metacommunity model to simulate several species reproducing, dispersing, and competing on a temperature gradient as temperature increases over time. Without AM, the species were vulnerable to climate change when they had low population sizes, short dispersal, and strong poleward competition. When relocating species that exemplified these traits, AM increased the long‐term persistence of the species most when relocating a fraction of the donor population, even if the remaining population was very small or rapidly declining. This suggests that leaving behind a fraction of the population could be a robust approach, allowing managers to repeat AM in case they move the species to the wrong place and at the wrong time, especially when it is difficult to identify a species’ optimal climate. We found that AM most benefitted species with low dispersal ability and least benefited species with narrow thermal tolerances, for which AM increased extinction risk on average. Although relocation did not affect the persistence of nontarget species in our simple competitive model, researchers will need to consider a more complete set of community interactions to comprehensively understand invasion potential.
Dispelling misperceptions of native lampreys (Entosphenus and Lampetra spp.) in the Pacific northwest (USA)
Authors: Clemens Benjamin J. , Wang Christina J. 
Published: March 2021

AbstractNative lampreys continue to be misunderstood by some citizens in the Pacific Northwest (PNW; USA). This misunderstanding is caused by persistent misperceptions reinforced in media and exacerbated by a long‐running (mid‐1900s to present) and pervasive outreach campaign on the control of the invasive sea lamprey (Petromyzon marinus) in the Laurentian Great Lakes, Lake Champlain and the Finger Lakes of New York. The use of outreach to encourage conservation of native lampreys in the PNW has been comparatively recent. Along with other native non‐salmonid fishes, lampreys were perceived by Euro‐American settlers as “undesirable”, “coarse” or “trash” fish that parasitized desirable trouts and salmon (Oncorhynchus spp.) and competed with them for environmental resources. These concerns have been magnified by the seemingly physical and ecological similarities between native and invasive sea lampreys. To dispel the misperceptions of native lampreys, we recommend a multi‐prong approach that: sharpens the specificity of outreach materials on sea lamprey control; develops outreach media that distinguishes invasive and native lampreys, includes recognition of the multiple ecosystem benefits that native lampreys offer, and includes hands‐on, place‐based learning led by or in collaboration with local tribes that can provide cultural context, and employs a broad outreach campaign to facilitate conservation of native lampreys.
Better outcome of COVID‐19 positive kidney transplant recipients during the unremitting stage with optimized anticoagulation and immunosuppression
Authors: AlOtaibi Torki M. , Gheith Osama A. , Abuelmagd Mohammed M. , Adel Mohammed , Alqallaf Ahmed K. , Elserwy Nabil A. , Shaker Mohamed , Abbas Ahmad M. , Nagib Ayman M. , Nair Prasad , Halim Medhat A. , Mahmoud Tarek , khaled Mahmoud M. , Hammad Mohamed A. , Fayyad Zoheer A. , Atta Ahmed F. , Mostafa Ahmed Y. , Draz Ahmed S. , Zakaria Zakaria E. , Atea Khaled A. , Aboatya Hasaneen H. , Ameenn Mohamed E. , Monem Mohamed A. , Mahmoud Amro M. 
Published: March 2021

AbstractIntroductionCOVID‐19 is an ongoing pandemic with high morbidity and mortality and with a reported high risk of severe disease in kidney transplant recipients (KTR).AimWe aimed to report the largest number of COVID‐19‐positive cases in KTR in a single center and to discuss their demographics, management, and evolution.MethodsWe enrolled all the two thousand KTR followed up in our center in Kuwait and collected the data of all COVID‐19‐positive KTR (104) from the start of the outbreak till the end of July 2020 and have reported the clinical features, management details, and both patient and graft outcomes.ResultsOut of the one hundred and four cases reported, most of them were males aged 49.3 ± 14.7 years. Eighty‐two of them needed hospitalization, of which thirty‐one were managed in the intensive care unit (ICU). Main comorbidities among these patients were hypertension in 64.4%, diabetes in 51%, and ischemic heart disease in 20.2%. Management strategies included anticoagulation in 56.7%, withdrawal of antimetabolites in 54.8%, calcineurin inhibitor (CNI) withdrawal in 33.7%, the addition of antibiotics in 57.7%, Tocilizumab in 8.7%, and antivirals in 16.3%. During a follow‐up of 30 days, the reported number of acute kidney injury (AKI) was 28.7%, respiratory failure requiring oxygen therapy 46.2%, and overall mortality rate was 10.6% with hospital mortality of 13.4% including an ICU mortality rate of 35.5%.ConclusionBetter outcome of COVID‐19‐positive KTR in our cohort during this unremitting stage could be due to the younger age of patients and early optimized management of anticoagulation, modification of immunosuppression, and prompt treatment of secondary bacterial infections. Mild cases can successfully be managed at home without any change in immunosuppression.
Assessing the impact of COVID‐19 on registered interventional clinical trials
Authors: Hawila Nour , Berg Arthur 
Published: March 2021

AbstractThe coronavirus disease 2019 (COVID‐19) pandemic has led to a dramatic impact worldwide and presented unprecedented challenges for clinical and translational medicine. We assess the impact of COVID‐19 on submitted and completed interventional clinical trials that have been registered on ClinicalTrials.gov. After classifying over 85% of the registered clinical trials by their source, we carefully model the number of submitted and completed trials before and after March 2020. Overall, we find minimal impact of COVID‐19 on the number of submitted clinical trials, although a much more substantial impact is observed for completed clinical trials. We also show that clinical trials with a pharmaceutical sponsor were more successful at completing trials during the pandemic compared to the trials with academic/hospital/government sponsors.
Routine application of ex vivo confocal laser scanning microscopy with digital staining for examination of surgical margins in basal cell carcinomas
Authors: Grupp Margarethe , Illes Monica , Mentzel Julia , Simon Jan C. , Paasch Uwe , Grunewald Sonja 
Published: March 2021

SummaryBackground and objectivesEx vivo confocal laser scanning microscopy (CLSM) allows histologic examination of native tissue based on tissue reflection and nuclear fluorescence staining. The newly introduced digital staining process almost perfectly mimics conventional hematoxylin and eosin (HE) slides. The aim was to evaluate the new method in clinical routine, with regard to quality of findings and time requirements, in the examination of surgical margins of basal cell carcinomas.Patients and methods78 patients with 101 basal cell carcinomas were prospectively enrolled. Surgery was performed either with complete margin control (n = 60) or as elliptical excision (n = 41). Immediately after excision specimens were scanned with CLSM and then routinely processed by conventional histopathology. Blinded evaluation of images and slides was performed by a dermatopathologist.ResultsBasal cell carcinomas were excellently recognizable by CLSM directly after excision, and the use of digital staining did not require any adjustment of the examiner’s visualization preferences. CLSM images showed a sensitivity of 73.6 % and a specificity of 96.5 % compared to conventional HE stained slides. Erroneous findings were often due to limited assessment potential in cases where the epidermis could not be fully visualized.ConclusionsCLSM with digital HE staining is very well suited to diagnose basal cell carcinomas and their incision margins even under routine conditions and thus represents a tissue‐saving alternative to rapid cryostat sectioning.
Research in practice: Towards deciphering the role of epidermal proteases in recessive dystrophic epidermolysis bullosa progression
Authors: Nauroy Pauline , Zingkou Eleni , Sotiropoulou Georgia , Kiritsi Dimitra 
Published: March 2021

SummaryRecessive dystrophic epidermolysis bullosa (RDEB) is an incurable severe skin disease caused by loss of collagen VII, an extracellular protein that ensures skin cohesion. It manifests in skin blistering and unresolved cycles of wounding and healing that progressively lead to dermal stiffening and early development of aggressive cutaneous squamous cell carcinomas. Inflammation and subsequent tissue fibrosis highly contribute to RDEB pathogenicity and targeting them could provide new therapeutic options. Kallikreins (KLKs) are epidermal secreted proteases, which contribute to skin desquamation and inflammation. Kallikreins are involved in the pathogenesis of several inflammatory skin disorders, but interestingly also in the initiation and progression of different cancers. Our project aims at deciphering the role of KLKs in inflammation, fibrosis, and tumor development in RDEB.
The impact of inventory risk on market prices under competition
Authors: Ovchinnikov Anton , Pun Hubert , Raz Gal 
Published: March 2021

AbstractFirms often must procure inventory/capacity before knowing what the demand will be, so there is a potential for a mismatch between inventory and demand, the “inventory risk.” We show that, because of inventory risk, an increase in the number of competitors can lead to an increasing trend in market prices. Furthermore, we show that, ceteris paribus, because of how inventory risk impacts competitive behavior, firms may prefer to incur inventory risk rather than to avoid it. To illustrate the robustness of our results, we establish these findings using three complementary methodologies: (i) using data from a classroom experiment, (ii) using a quantal response equilibrium simulation to capture realistic irrationalities in managerial decisions under competition, and (iii) using a fully rational Nash equilibrium model to capture the impact of the competition per se. That all three methods lead to identical qualitative findings reinforces the main message of our paper: Inventory risk reverses the standard intuition for how an increase in the number of competitors impacts prices.
Deming least square regressed feature selection and Gaussian neuro‐fuzzy multi‐layered data classifier for early COVID prediction
Authors: Mydukuri Rathnamma V , Kallam Suresh , Patan Rizwan , Al‐Turjman Fadi , Ramachandran Manikandan 
Published: March 2021

AbstractCoronavirus disease (COVID‐19) is a harmful disease caused by the new SARS‐CoV‐2 virus. COVID‐19 disease comprises symptoms such as cold, cough, fever, and difficulty in breathing. COVID‐19 has affected many countries and their spread in the world has put humanity at risk. Due to the increasing number of cases and their stress on administration as well as health professionals, different prediction techniques were introduced to predict the coronavirus disease existence in patients. However, the accuracy was not improved, and time consumption was not minimized during the disease prediction. To address these problems, least square regressive Gaussian neuro‐fuzzy multi‐layered data classification (LSRGNFM‐LDC) technique is introduced in this article. LSRGNFM‐LDC technique performs efficient COVID prediction with better accuracy and lesser time consumption through feature selection and classification. The preprocessing is used to eliminate the unwanted data in input features. Preprocessing is applied to reduce the time complexity. Next, Deming Least Square Regressive Feature Selection process is carried out for selecting the most relevant features through identifying the line of best fit. After the feature selection process, Gaussian neuro‐fuzzy classifier in LSRGNFM‐LDC technique performs the data classification process with help of fuzzy if‐then rules for performing prediction process. Finally, the fuzzy if‐then rule classifies the patient data as lower risk level, medium risk level and higher risk level with higher accuracy and lesser time consumption. Experimental evaluation is performed by Novel Corona Virus 2019 Dataset using different metrics like prediction accuracy, prediction time, and error rate. The result shows that LSRGNFM‐LDC technique improves the accuracy and minimizes the time consumption as well as error rate than existing works during COVID prediction.