Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of Human Interleukin-35 Level in Gingival Crevicular Fluid and Serum in Periodontal Health, Disease, and after Nonsurgical Therapy: A Comparative Study

Background: Innovating newer methods to diagnose a multifactorial disease such as periodontitis is always challenging for a clinician. Gingival crevicular fluid (GCF) which is closely associated with the periodontal tissue environment has been used a viable alternative to saliva for the diagnosis of periodontitis. Aim: The aim of the present study was to estimate and compare the interleukin-35 (IL-35) levels in GCF and serum among healthy, gingivitis, and chronic periodontitis (CP) individuals as well as to evaluate the effect of nonsurgical periodontal treatment (NSPT) on IL-35 level among patients with CP. Settings and Design: The study was conducted at the Department of Periodontics, Srirama Chandra Bhanja Dental College and Hospital, Cuttack, Odisha, India. It is a comparative study. Materials and Methods: A total of 60 participants were divided into healthy (Group I; n = 20), gingivitis (Group II; n = 20), and CP (Group IIIA; n = 20). GCF samples collected from each individual at baseline and 6 weeks after NSPT for Group III individuals (Group IIIB; n = 20) were quantified for IL-35 levels using enzyme-linked immunosorbent assay. Statistical Analysis: All analyses were performed using Shapiro–Wilk test, analysis of variance, Tukey's honestly significant difference post hoc test, and multiple regression analysis. Results: The mean IL-35 concentration in GCF was significantly high (P < 0.05) for Group IIIA (70.26 ± 4.0 pg/ml), as compared to Group I (54.81 ± 22.3 pg/ml) and Group IIIB (55.72 ± 10.2 pg/ml). Conclusion: In the present study, GCF and serum IL-35 concentration among CP individuals was highest among all the groups. Individuals receiving NSPT showed a significant reduction in IL-35 levels as compared to CP individuals.
Prepectoral Versus Subpectoral Tissue Expander Placement: A Clinical and Quality of Life Outcomes Study

Background: Traditionally, tissue expanders (TEs) for breast reconstruction have been placed beneath the pectoralis major muscle with or without acellular dermal matrix. More recently, full acellular dermal matrix coverage has been described for prepectoral TE placement. Our study aims to explore differences in clinical and quality-of-life (QOL) outcomes for prepectoral versus subpectoral TE breast reconstruction. Methods: We identified patients who underwent postmastectomy breast reconstruction with prepectoral or subpectoral TE placement between 2011 and 2015 and completed QOL surveys. Primary outcomes were postoperative pain and QOL scores. Secondary outcomes were clinical outcomes. We used Wilcoxon rank-sum test, chi-square test, and linear regression to compare outcomes. Postoperative follow-up for each patient was at least 60 days, except that of pain scores, which were at least 30 days. Mean age was 49 ± 10 years. Results: Twenty-six prepectoral TE patients and 109 subpectoral TE patients met inclusion criteria. Pain scores were significantly lower at 12 hours, 1 day, 7 days, and 30 days postoperatively for the prepectoral group, compared with the subpectoral group, even after adjusting for confounding variables [PO12H: Sub-Pectoral (SP) median (interquartile range), 7 (5–8), Pre-Pectoral (PP), 5 (2.5–7.5), P value = 0.004; PO1D: SP, 5 (4–6), PP 3 (2–4), P value = < 0.001; PO7D: SP, 2 (0–4), PP, 0 (0–2), P value = 0.004; PO30D: SP, 0 (0–2), PP, 0 (0–0), P value = 0.039)]. Breast-Q scores were not significantly different between study groups. RAND-36 Physical Health scores were lower among prepectoral TE patients. Conclusions: Prepectoral TE breast reconstruction presents an opportunity to improve upon current reconstructive methods and does result in significantly lower pain scores. The associated risks have yet to be fully described and are important considerations, as these prepectoral patients had lower physical health outcome scores.
Towards a Taxonomy for Data-Driven Digital Services

Digitization is transforming every domain nowadays, leading to a growing body of knowledge on digital service innovation. Coupled with the generation and collection of big data, data-driven digital services are becoming of great importance to business, economy and society. This paper aims to classify the different types of data-driven digital services, as a first step to understand their characteristics and dynamics. A taxonomy is developed and the emerging characteristics include data acquisition mechanisms, data exploitation, insights utilization, and service interaction characteristics. The examined services fall into 15 distinct types and are further clustered into 3 classes of types: distributed analytics intermediaries, visual data-driven services, and analytics-embedded services. Such contribution enables service designers and providers to understand the key aspects in utilizing data and analytics in the design and delivery of their services. The taxonomy is set out to shape the direction and scope of scholarly discourse around digital service innovation research and practice.
Cytomegalovirus (CMV) Disease Despite Weekly Preemptive CMV Strategy for Recipients of Solid Organ and Hematopoietic Stem Cell Transplantation

Abstract Background Transplant recipients presenting with cytomegalovirus (CMV) disease at the time of diagnosis of CMV DNAemia pose a challenge to a preemptive CMV management strategy. However, the rate and risk factors of such failure remain uncertain. Methods Solid organ transplantation (SOT) and hematopoietic stem cell transplantation (HSCT) recipients with a first episode of CMV polymerase chain reaction (PCR) DNAemia within the first year posttransplantation were evaluated (n = 335). Patient records were reviewed for presence of CMV disease at the time of CMV DNAemia diagnosis. The distribution and prevalence of CMV disease were estimated, and the odds ratio (OR) of CMV disease was modeled using logistic regression. Results The prevalence of CMV disease increased for both SOT and HSCT with increasing diagnostic CMV PCR load and with screening intervals >14 days. The only independent risk factor in multivariate analysis was increasing CMV DNAemia load of the diagnostic CMV PCR (OR = 6.16; 95% confidence interval, 2.09–18.11). Among recipients receiving weekly screening (n = 147), 16 (10.8%) had CMV disease at the time of diagnosis of CMV DNAemia (median DNAemia load 628 IU/mL; interquartile range, 432–1274); 93.8% of these cases were HSCT and lung transplant recipients. Conclusions Despite application of weekly screening intervals, HSCT and lung transplant recipients in particular presented with CMV disease at the time of diagnosis of CMV DNAemia. Additional research to improve the management of patients at risk of presenting with CMV disease at low levels of CMV DNAemia and despite weekly screening is warranted.
Role of CDOs in the Digital Transformation of SMEs and LSEs - An Empirical Analysis

In recent years, the economy and companies of all sizes operating within it have undergone a progressive transformation that implied increased market complexity and dominance of the buyer market. This development is the result of the “third industrial revolution” and has been fostered during the last 40 years by major innovations in digital computer technology. This first “digital revolution” resulted in the development of the first computers and the associated entry of new electronics and information and communication technology (ICT) in companies being able to automate production processes and make them more efficient. Digitalization means not only the change of individual processes rather the fundamental transformation of entire business areas or the entire business model. In order not only to master, but also to cope with, the challenges of digital transformation, companies need a member in the management board that provides specific expertise and encourages these digital changes. In the process, the position of Chief Digital Officer (CDO) has been created precisely to meet these challenges of the digital transformation of a business model. The present work is based on various case studies analyzing what role the CDO plays in the framework of digital transformation in various company sizes (SMEs and LSEs). In particular, the responsibility, specific obligations and rights and the role – namely, functions and tasks – and the change in the role have been examined since taking over the position.
Transgenic creeping bentgrass overexpressing Osa‐miR393a exhibits altered plant development and improved multiple stress tolerance

Summary MicroRNA393 (miR393) has been implicated in plant growth, development and multiple stress responses in annual species such as Arabidopsis and rice. However, the role of miR393 in perennial grasses remains unexplored. Creeping bentgrass (Agrostis stolonifera L.) is an environmentally and economically important C3 cool‐season perennial turfgrass. Understanding how miR393 functions in this representative turf species would allow the development of novel strategies in genetically engineering grass species for improved abiotic stress tolerance. We have generated and characterized transgenic creeping bentgrass plants overexpressing rice pri‐miR393a (Osa‐miR393a). We found that Osa‐miR393a transgenics had fewer, but longer tillers, enhanced drought stress tolerance associated with reduced stomata density and denser cuticles, improved salt stress tolerance associated with increased uptake of potassium and enhanced heat stress tolerance associated with induced expression of small heat‐shock protein in comparison with wild‐type controls. We also identified two targets of miR393, AsAFB2 and AsTIR1, whose expression is repressed in transgenics. Taken together, our results revealed the distinctive roles of miR393/target module in plant development and stress responses between creeping bentgrass and other annual species, suggesting that miR393 would be a promising candidate for generating superior crop cultivars with enhanced multiple stress tolerance, thus contributing to agricultural productivity.
A Modular Strategy to Engineer Complex Tissues and Organs

Currently, there are no synthetic or biologic materials suitable for long‐term treatment of large tracheal defects. A successful tracheal replacement must (1) have radial rigidity to prevent airway collapse during respiration, (2) contain an immunoprotective respiratory epithelium, and (3) integrate with the host vasculature to support epithelium viability. Herein, biopolymer microspheres are used to deliver chondrogenic growth factors to human mesenchymal stem cells (hMSCs) seeded in a custom mold that self‐assemble into cartilage rings, which can be fused into tubes. These rings and tubes can be fabricated with tunable wall thicknesses and lumen diameters with promising mechanical properties for airway collapse prevention. Epithelialized cartilage is developed by establishing a spatially defined composite tissue composed of human epithelial cells on the surface of an hMSC‐derived cartilage sheet. Prevascular rings comprised of human umbilical vein endothelial cells and hMSCs are fused with cartilage rings to form prevascular–cartilage composite tubes, which are then coated with human epithelial cells, forming a tri‐tissue construct. When prevascular– cartilage tubes are implanted subcutaneously in mice, the prevascular structures anastomose with host vasculature, demonstrated by their ability to be perfused. This microparticle–cell self‐assembly strategy is promising for engineering complex tissues such as a multi‐tissue composite trachea.
Feasibility, acceptability, and validity of crowdsourcing for collecting longitudinal alcohol use data.

Challenges to conducting longitudinal research include financial, time, and geographic constraints. An emerging sampling method positioned to address these concerns is crowdsourcing. This study evaluated the feasibility, acceptability, and validity of collecting intensive longitudinal alcohol use data with the crowdsourcing platform, Amazon.com's Mechanical Turk (mTurk). Participants (N = 278) recruited from mTurk provided weekly recordings of daily alcohol and soda use over an 18-week period. Construct and external validity was evaluated using generalized linear mixed models describing associations of between-subject (e.g., alcohol use severity) and within-subject (e.g., day of week) variables with prospectively collected alcohol and soda use. High response rates were observed across the 18-week period demonstrating feasibility (64.1%-86.8%). The design was acceptable with 94% of participants indicating they were satisfied with the procedures. Multilevel models supported construct and external validity by replicating expected associations, such as more frequent and heavier drinking by individuals with higher AUDIT scores and on weekends. These effects were specific to alcohol use and did not extend to soda consumption. These data support the feasibility, acceptability, and validity of using mTurk for intensive longitudinal data collection. Future studies may leverage this platform to generate large, geographically diverse samples for prospective behavioral analytic research.
Mindfulness mediates the relationship between mental toughness and pain catastrophizing in cyclists

Abstract The purpose of this study was to examine the direction and magnitude of the relationship between mental toughness and pain catastrophizing and to explore whether mindfulness mediated this relationship. The design of the study was cross-sectional using self-report data. We recruited 142 recreational cyclists (female = 32) via online cycling forums. We asked participants to complete measures of mental toughness, dispositional mindfulness, and pain catastrophizing. Following the initial screening of data and the identification of non-normality and outliers, we calculated robust correlations and regressions to examine the size and direction of effects. Results revealed that mindfulness partially mediated a moderate negative relationship between mental toughness and pain catastrophizing. These results are consistent with prior theory regarding positive traits and their negative association with pain catastrophizing. Unique contributions included showing that mental toughness and mindfulness are positively associated and that mindfulness is negatively associated with pain catastrophizing in this sample of cyclists.
Adversarial Scene Editing: Automatic Object Removal from Weak Supervision

While great progress has been made recently in automatic image manipulation, it has been limited to object centric images like faces or structured scene datasets. In this work, we take a step towards general scene-level image editing by developing an automatic interaction-free object removal model. Our model learns to find and remove objects from general scene images using image-level labels and unpaired data in a generative adversarial network (GAN) framework. We achieve this with two key contributions: a two-stage editor architecture consisting of a mask generator and image in-painter that co-operate to remove objects, and a novel GAN based prior for the mask generator that allows us to flexibly incorporate knowledge about object shapes. We experimentally show on two datasets that our method effectively removes a wide variety of objects using weak supervision only.
Identifying Challenges in Business Rules Management Implementations Regarding the Governance Capability at Governmental Institutions

As the number of BRMS-implementations increases, more and more organizations search for guidance to design such solutions. Given these premises, more implementation challenges experienced from practice become evident. In this study, we identify the main challenges regarding the governance capability as part of BRM, in the Dutch governmental context. To be able to do so, we utilized a four-round focus group and a three-round Delphi study set-up to collect our data. The analysis resulted in eight implementation challenges experienced by the participants. The presented results provide a grounded basis from which empirical and practical research on best practices can be further explored.
Comparison of classifier methods: a case study in handwritten digit recognition

This paper compares the performance of several classifier algorithms on a standard database of handwritten digits. We consider not only raw accuracy, but also training time, recognition time, and memory requirements. When available, we report measurements of the fraction of patterns that must be rejected so that the remaining patterns have misclassification rates less than a given threshold.
Discovery of biomarkers to identify peri‐implant osteolysis before radiographic diagnosis

Peri‐implant osteolysis is commonly diagnosed after substantial bone loss has occurred, making revision surgery more challenging. The goal of the current study was to identify urinary biomarkers that differentiate total hip replacement patients who eventually develop osteolysis from patients who do not. We used a repository of 24‐h urine samples collected prior to surgery and annually thereafter in 26 patients, 16 who developed osteolysis, and 10 who did not. We examined the markers at radiographic diagnosis, annually for 6 years preceding diagnosis, at the first post‐operative sampling point, and pre‐operatively. Patients in the osteolysis and non‐osteolysis groups were matched according to time post‐surgery and did not differ in the male:female ratio or age at surgery. Seven candidate biomarkers were measured, including free deoxypyridinoline (DPD), cross‐linked N‐telopeptides (NTX), interleukin‐6 (IL‐6), interleukin‐8 (IL‐8), osteoprotegerin (OPG), α‐crosslaps (α‐CTX), and β‐crosslaps (β‐CTX). As an individual biomarker, DPD demonstrated the highest ability to predict osteolysis, with an area under the curve (AUC) in Receiver Operating Characteristic (ROC) analyses of 0.844 at 6 years prior to diagnosis. A panel of α‐CTX and IL‐6 was able to identify at‐risk patients with an AUC of 0.941 or greater at all post‐operative time points and an AUC of 1.000 pre‐operatively. The results demonstrate the potential of using non‐invasive biomarkers to identify patients at risk for peri‐implant osteolysis long before the emergence of radiographic signs. Further, the high accuracy of the pre‐operative biomarker levels demonstrates the potential importance of pre‐existing, patient‐specific factors driving subsequent osteolysis. Study Design © 2018 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:2754–2761, 2018.
Models of HIV Preconception Care and Key Elements Influencing These Services: Findings from Healthcare Providers in Seven US Cities

Abstract Preconception care can improve maternal and infant outcomes by identifying and modifying health risks before pregnancy and reducing unplanned pregnancies. However, information about how preconception care is provided to persons living with HIV (PLWH) is lacking. This study uses qualitative interviews with HIV care providers to describe current models of preconception care and explore factors influencing services. Single, anonymous, telephone interviews were conducted with 92 purposively selected HIV healthcare providers in Atlanta, Baltimore, Houston, Kansas City, Newark, Philadelphia, and San Francisco in 2013‐2014. Content analysis and a grounded theory approach were used to analyze data. Participants included 57% physicians with a median of 10 [interquartile range (IQR) = 5‐17] years HIV care experience; the mean proportion of female patients was 45%. Participants described Individual Provider (48.9%), Team‐based (43.2%), and Referral‐only (7.6%) models of preconception care, with 63% incorporating referrals outside their clinics. Thematic analysis identified five key elements influencing the provision of preconception care within and across models: consistency of delivery, knowledge and attitudes, clinic characteristics, coordination of care, and referral accessibility. Described models of preconception care reflect the complexity of our healthcare system. Qualitative analysis offers insights about how HIV clinicians provide preconception care and how key elements influence services. However, additional research about the models and outcomes of preconception care services are needed. To improve preconception care for PLWH, research and quality improvement initiatives must utilize available strengths and tackle existing barriers, identified by our study and others, to define and implement effective models of preconception care services.
Floating search methods for feature selection with nonmonotonic criterion functions

In this paper the recently developed "floating search" algorithms are presented and modified to a more compact form facilitating their direct comparison with the well known (l,r) search. The properties of the floating search methods are investigated, especially with respect to their tolerance to nonmonotonic criteria. Their computational efficiency is demonstrated by results on real data of high dimensionality.
Laser Interstitial Thermal Therapy as a Primary Treatment for Deep Inaccessible Gliomas

BACKGROUND Treatment strategies for deep intracranial gliomas remain limited to stereotactic biopsy in many cases due to the morbidity of aggressive surgical resection. Since no cytoreductive therapy is offered, outcomes have been demonstrably poor compared to patients who are able to undergo primary surgical resection. OBJECTIVE To present our practice, in an effort to reduce morbidity and still offer cytoreductive treatment, of offering the possibility of laser interstitial thermal therapy (LITT) for the primary treatment of intracranial deep gliomas that would be otherwise unamenable for resection. METHODS From 2010 to 2017, 74 patients were identified from a single surgeon at a single tertiary care referral center who had been treated with LITT. We conducted an exploratory cohort study on patients (n = 6) who have undergone contemporaneous biopsy and laser ablation for the treatment of deep gliomas with a mean tumor volume of 10.9 cc (range 4.2-52 cc). RESULTS In our cohort, mean extent of ablation (EOA) was 98.5% on postoperative MRI; mean progression-free survival was 14.3 mo, and 5 patients (83%) remained alive at mean follow-up time of 19.7 mo without any complications. Additionally, there was a negative linear relationship between preoperative lesion size and EOA (P < .04) when analyzed with previously reported series. CONCLUSION Although our series is small, we suggest that LITT can be a safe alternative cytoreductive therapy for deep surgically inaccessible gliomas. Given the known benefit of near gross total resection for high-grade gliomas, we believe LITT may improve survival for these patients and complement adjuvant treatments if patients are appropriately selected.