bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of the levonorgestrel-releasing intrauterine system on the risk of breast cancer: a systematic review
Authors: Zürcher Aline , Knabben Laura , Janka Heidrun , Stute Petra
Published: June 2022

Purpose

The intention of this systematic review was to analyze the literature on breast cancer (BC) and the use of the levonorgestrel-releasing intrauterine system (LNG-IUS).

Methods

The literature was searched in Medline, Embase, Cochrane Library, CINAHL, Web of Science and ClinicalTrials.com and included search terms related to breast cancer and LNG-IUS. After elimination of duplicates, 326 studies could be identified and were assessed according to inclusion and exclusion criteria. In the end, 10 studies met the defined criteria and were included in the systematic review.

Results

6 out of the 10 selected studies were cohort studies, three were case–control studies and one a systematic review/meta-analysis. 6 found a positive association between BC and the use of LNG-IUS. One study only found an increased risk for invasive BC in the subgroup of women aged 40–45 years. In contrast, three studies showed no indication of a higher BC risk.

Conclusion

The results imply an increased BC risk in LNG-IUS users, especially in postmenopausal women and with longer duration of use. Positive effects of the LNG-IUS such as reduced risks for other hormonal cancers have been observed, were, however, not focus of this systematic review. The heterogeneity of the analyzed studies and vast number of confounding factors call for further investigations in this issue. Patients should be advised according to their individual risk profile and hormone-free alternatives may be considered for women with a history of BC.
Anti-inflammatory Properties of the Alpha-Melanocyte-Stimulating Hormone in Models of Granulomatous Inflammation
Authors: Shahraki Abdolrazagh Hashemi , Tian Runxia , Zhang Chongxu , Fregien Nevis L. , Bejarano Pablo , Mirsaeidi Mehdi
Published: June 2022

Purpose

Alpha-melanocyte stimulating hormone (α-MSH) is known to have anti-inflammatory effects. However, the anti-inflammatory properties of α-MSH on normal bronchial epithelial cells are largely unknown, especially in the context of in vitro sarcoidosis models.

Methods

We evaluated the anti-inflammatory effects of α-MSH on two different in vitro sarcoidosis models (lung-on-membrane model; LOMM and three-dimensional biochip pulmonary sarcoidosis model; 3D-BSGM) generated from NBECs and an in vivo sarcoidosis mouse model.

Results

Treatment with α-MSH decreased inflammatory cytokine levels and downregulated type I interferon pathway genes and related proteins in LOMM and 3D-BSGM models. Treatment with α-MSH also significantly decreased macrophages and cytotoxic T-cells counts in a sarcoidosis mice model.

Conclusion

Our results confirm the direct role of type I IFNs in the pathogenesis of sarcoid lung granulomas and highlight α-MSH as a potential novel therapeutic agent for treating pulmonary sarcoidosis.

Graphical Abstract
A family cluster of schistosomiasis acquired in Solenzara River, Corsica (France) — Solenzara River is clearly a transmission site for schistosomiasis in Corsica
Authors: Wellinghausen Nele , Moné Hélène , Mouahid Gabriel , Nebel Axel , Tappe Dennis , Gabriel Martin
Published: June 2022

We report a patient with urogenital schistosomiasis and three cases of subclinical infection within one family acquired from Solenzara River, Corsica, in 2019. Our cases confirm that transmission of schistosomiasis in Corsica is ongoing and has been extended from the Cavu River to the Solenzara River. Solenzara River is clearly a transmission site for schistosomiasis in Corsica. Public health efforts are recommended to uncover and prevent further cases.
Distribution of Kudoa thyrsites (Cnidaria, Myxozoa) myoliquefactive stages in Northeast Atlantic mackerel (Scomber scombrus) inferred from qPCR and histology
Authors: Giulietti Lucilla , Nedberg Heidi Johansen , Karlsbakk Egil , Marathe Nachiket P. , Storesund Julia E. , Mæhle Stig , Fiksdal Ingrid Uglenes , Ghebretnsae Dawit Berhe , Levsen Arne
Published: June 2022

Kudoa thyrsites is a myxosporean parasite (Cnidaria, Myxozoa) that infects the skeletal and cardiac muscle of Northeast Atlantic (NEA) mackerel (Scomber scombrus). Heavy infections are associated with post-mortem myoliquefaction of the host skeletal muscle which reduces the quality of the fish product. The biological infection characteristics of the parasite in NEA mackerel are poorly known. This study examined the distribution of K. thyrsites in various organs of NEA mackerel from the northern North Sea, and elucidates the relationship between density of infection, developmental stage and parasite distribution in the musculature, and the extent of visible flesh myoliquefaction. Quantitative polymerase chain reaction (qPCR) data showed that K. thyrsites is unevenly distributed in the somatic musculature of the fish host, with highest density in the anterior ventral muscle sections—the belly flaps. A weak positive correlation was observed between the level of myoliquefaction and the parasite density in the fish host muscle. This relationship was also reflected by the amount and distribution of parasite developmental stages seen during histological examinations. Histological findings indicate an association between the dispersion of free myxospores and the level of myoliquefaction of the fish host muscle. Visceral organs were also found infected using qPCR, although at lower densities compared to the musculature.
Effect of Postoperative Oral Intake Status on Sarcopenia Six Months After Esophageal Cancer Surgery
Authors: Hijikata Nanako , Ishikawa Aiko , Matsuda Satoru , Kawakami Michiyuki , Muraoka Kaori , Ando Makiko , Mayanagi Shuhei , Irino Tomoyuki , Kawakubo Hirofumi , Kitagawa Yuko , Tsuji Tetsuya
Published: June 2022

Purpose

In patients with esophageal cancer, skeletal muscle mass has been reported to decrease progressively after surgery and be independently associated with a poor prognosis. The purpose of this study was to investigate perioperative changes in dysphagia, oral intake status, and nutritional status and identify factors related to sarcopenia 6 months after esophagectomy.

Methods

A total of 134 patients who underwent radical resection for thoracic esophageal cancer between March 2016 and July 2019 were analyzed retrospectively. The diagnosis of sarcopenia was made by CT taken 6 months postoperatively using the cut-off criteria of skeletal muscle index (SMI) < 52.4 cm2/m2 for male and SMI < 38.5 cm2/m2 for female patients. As factors related to postoperative sarcopenia, dysphagia, oral intake status, nutritional status, and physical function were extracted from the medical records. Multivariate logistic regression analysis was performed to identify perioperative risk factors related to sarcopenia 6 months after surgery.

Results

Of the 134 patients, 34.3% were judged to be unable to start oral intake on swallowing assessment. At discharge, 30.6% received tube feeding with or without oral intake. In the non-oral intake group on swallowing assessment, a significantly higher proportion of patients received tube feeding at discharge (p = 0.014). Preoperative BMI, postoperative handgrip strength, and tube feeding at discharge were independent risk factors for sarcopenia 6 months after esophagectomy in male patients.

Conclusion

Tube feeding at discharge is significantly related to postoperative sarcopenia in patients with esophageal cancer. Identifying high-risk groups might allow early detection of malnutrition and provision of appropriate care.
MASCC/ISOO expert opinion on the management of oral problems in patients with advanced cancer
Authors: Jones Jac A. , Chavarri-Guerra Yanin , Corrêa Luisa Barreto Costa , Dean David R. , Epstein Joel B. , Fregnani Eduardo R. , Lee Jiyeon , Matsuda Yuhei , Mercadante Valeria , Monsen Ragnhild Elisabeth , Rajimakers Natasja J. H. , Saunders Deborah , Soto-Perez-de-Celis Enrique , Sousa Mariana S. , Tonkaboni Arghavan , Vissink Arjan , Yeoh Keng Soon , Davies Andrew N.
Published: June 2022

Purpose

The Palliative Care Study Group in conjunction with the Oral Care Study Group of the Multinational Association for Supportive Care in Cancer (MASCC) formed a sub-group to develop evidence-based guidance on the management of common oral problems in patients with advanced cancer.

Methods

This guidance was developed in accordance with the MASCC Guidelines Policy. A search strategy for Medline was developed, and the Cochrane Database of Systematic Reviews and the Cochrane Central Register of Controlled Trials were explored for relevant reviews and trials, respectively. Guidance was categorised by the level of evidence, and “category of guideline” (i.e., “recommendation”, “suggestion” or “no guideline possible”).

Results

Twelve generic suggestions (level of evidence – 5), three problem-specific recommendations and 14 problem-specific suggestions were generated. The generic suggestions relate to oral hygiene measures, assessment of problems, principles of management, re-assessment of problems and the role of dental/oral medicine professionals.

Conclusions

This guidance provides a framework for the management of common oral problems in patients with advanced cancer, although every patient requires individualised management.
Semantic enhanced Top-k similarity search on weighted HIN
Authors: Zhang Yun , Yu Minghe , Zhang Tiancheng , Yu Ge
Published: June 2022

Similarity searches on heterogeneous information networks (HINs) have attracted wide attention from both industrial and academic areas in recent years; for example, they have been used for friend detection in social networks and collaborator recommendation in coauthor networks. The structural information on the HIN can be captured by multiple metapaths, and people usually utilize metapaths to design methods for similarity search. The rich semantics in HINs are not only structural information but also content stored in nodes. However, the content similarity of nodes was usually not valued in the existing methods. Although some researchers have recently considered both types of information in machine learning-based methods for similarity search, they have used structure and content information separately. To address this issue by balancing the influence of structure and content information flexibly in the process of searching, we propose a double channel convolutional neural network model for top-k similarity search, which uses path instances as model inputs and generates structure and content embeddings for nodes based on different metapaths. We design an attention mechanism to enhance the differences in metapaths for each node. Another attention mechanism is used to combine the content and structure information of nodes. Finally, an importance evaluation function is designed to improve the accuracy and make the model more explainable. The experimental results show that our search algorithm can effectively support top-k similarity search in HINs and achieve higher performance than existing approaches.
Adam or Eve? Automatic users’ gender classification via gestures analysis on touch devices
Authors: Guarino Alfonso , Lettieri Nicola , Malandrino Delfina , Zaccagnino Rocco , Capo Carmine
Published: June 2022

Gender classification of mobile devices’ users has drawn a great deal of attention for its applications in healthcare, smart spaces, biometric-based access control systems and customization of user interface (UI). Previous works have shown that authentication systems can be more effective when considering soft biometric traits such as the gender, while others highlighted the significance of this trait for enhancing UIs. This paper presents a novel machine learning-based approach to gender classification leveraging the only touch gestures information derived from smartphones’ APIs. To identify the most useful gesture and combination thereof for gender classification, we have considered two strategies:single-viewlearning, analyzing, one at a time, datasets relating to a single type of gesture, andmulti-viewlearning, analyzing together datasets describing different types of gestures. This is one of the first works to apply such a strategy for gender recognition via gestures analysis on mobile devices. The methods have been evaluated on a large dataset of gestures collected through a mobile application, which includes not only scrolls, swipes, and taps but also pinch-to-zooms and drag-and-drops which are mostly overlooked in the literature. Conversely to the previous literature, we have also provided experiments of the solution in different scenarios, thus proposing a more comprehensive evaluation. The experimental results show thatscroll downis the most useful gesture andrandom forestis the most convenient classifier for gender classification. Based on the (combination of) gestures taken into account, we have obtained F1-score up to 0.89 in validation and 0.85 in testing phase. Furthermore, the multi-view approach is recommended when dealing with unknown devices and combinations of gestures can be effectively adopted, building on the requirements of the system our solution is built-into. Solutions proposed turn out to be both an opportunity for gender-aware technologies and a potential risk deriving from unwanted gender classification.
Prognostic significance of additional histologic features for subclassification of pathological T3 colon cancer
Authors: Macchi Lorenzo , Bao Quoc Riccardo , Albertoni Laura , Fassan Matteo , Chiminazzo Valentina , Scarpa Marco , Spolverato Gaya , Pucciarelli Salvatore
Published: June 2022

Background

Additional histologic features of T3 colon cancer, such as tumour depth invasion beyond muscularis propria and elastic lamina invasion (ELI), have taken interest for a more accurate staging.

Methods

Patients with pT3 and pT4a (control group) colon adenocarcinoma were retrospectively collected from our institutional database. The study group was divided according to depth of tumour invasion < 5 mm and ≥ 5 mm, and into ELI − and ELI + . Chi-square test was used to compare the clinicopathological characteristics. OS and DFS were estimated using Kaplan–Meier method and compared with the log-rank test. Univariable and multivariable Cox proportional hazard models were employed to assess the effect on OS and DFS.

Results

Out of 290 pT3 tumours, 168 (58%) had a depth of tumour invasion < 5 mm and 122 (42%) ≥ 5 mm. The 5-year OS and DFS were 85.2, 68.7 and 60.9%, and 81.4, 73.9 and 60.1% in pT3 < 5 mm, pT3 ≥ 5 mm, and pT4a respectively (p = 0.001, p = 0.072). Considering ELI − (n = 157, 54%) and ELI + (n = 133, 46%), the 5-year OS and DFS were 78.9, 76.7, and 60.9%, and 75.5, 81.5, and 60.1% in ELI  − , ELI + and pT4a respectively (p = 0.955, p = 0.462). At multivariable analysis, the depth of invasion was found to be an independent predictive factor for OS (HR 2.04, 95%CI 1.28–3.24, p = 0.003) and DFS (HR 1.98, 95%CI 1.24–3.18, p = 0.004), while ELI did not result a prognostic factor for OS nor DFS.

Conclusion

In pT3 colon cancer, depth of tumour invasion ≥ 5 mm is an independent risk factor for OS and DFS, whereas ELI did not result a prognostic factor affecting OS nor DFS.
A systematic review of the cost-effectiveness of renal replacement therapies, and consequences for decision-making in the end-stage renal disease treatment pathway
Authors: Busink Ellen , Kendzia Dana , Kircelli Fatih , Boeger Sophie , Petrovic Jovana , Smethurst Helen , Mitchell Stephen , Apel Christian
Published: June 2022

Objectives

Comparative economic assessments of renal replacement therapies (RRT) are common and often used to inform national policy in the management of end-stage renal disease (ESRD). This study aimed to assess existing cost-effectiveness analyses of dialysis modalities and consider whether the methods applied and results obtained reflect the complexities of the real-world treatment pathway experienced by ESRD patients.

Methods

A systematic literature review (SLR) was conducted to identify cost-effectiveness studies of dialysis modalities from 2005 onward by searching Embase, MEDLINE, EBM reviews, and EconLit. Economic evaluations were included if they compared distinct dialysis modalities (e.g. in-centre haemodialysis [ICHD], home haemodialysis [HHD] and peritoneal dialysis [PD]).

Results

In total, 19 cost-effectiveness studies were identified. There was considerable heterogeneity in perspectives, time horizon, discounting, utility values, sources of clinical and economic data, and extent of clinical and economic elements included. The vast majority of studies included an incident dialysis patient population. All studies concluded that home dialysis treatment options were cost-effective interventions.

Conclusions

Despite similar findings across studies, there are a number of uncertainties about which dialysis modalities represent the most cost-effective options for patients at different points in the care pathway. Most studies included an incident patient cohort; however, in clinical practice, patients may switch between different treatment modalities over time according to their clinical need and personal circumstances.

Promoting health policies through financial incentives in renal care should reflect the cost-effectiveness of a comprehensive approach that considers different RRTs along the patient pathway; however, no such evidence is currently available.
Impact of a diabetes disease management program on guideline-adherent care, hospitalization risk and health care costs: a propensity score matching study using real-world data
Authors: Höglinger Marc , Wirth Brigitte , Carlander Maria , Caviglia Cornelia , Frei Christian , Rhomberg Birgitta , Rohrbasser Adrian , Trottmann Maria , Eichler Klaus
Published: June 2022

Objective

To evaluate the impact of a DMP for patients with diabetes mellitus in a Swiss primary care setting.

Methods

In a prospective observational study, we compared diabetes patients in a DMP (intervention group; N = 538) with diabetes patients receiving usual care (control group; N = 5050) using propensity score matching with entropy balancing. Using a difference-in-difference (DiD) approach, we compared changes in outcomes from baseline (2017) to 1-year (2017/18) and to 2-year follow-up (2017/19). Outcomes included four measures for guideline-adherent diabetes care, hospitalization risk, and health care costs.

Results

We identified a positive impact of the DMP on the share of patients fulfilling all measures for guideline-adherent care [DiD 2017/18: 7.2 percentage-points, p < 0.01; 2017/19: 8.4 percentage-points, p < 0.001]. The hospitalization risk was lower in the intervention group in both years, but only statistically significant in the 1-year follow-up [DiD 2017/18: – 5.7 percentage-points, p < 0.05; 2017/19: – 3.9 percentage points, n.s.]. The increase in health care costs was smaller in the intervention than in the control group [DiD 2017/18: CHF – 852; 2017/19: CHF – 909], but this effect was not statistically significant.

Conclusion

The DMP under evaluation seems to exert a positive impact on the quality of diabetes care, reflected in the increase in the measures for guideline-adherent care and in a reduction of the hospitalization risk in the intervention group. It also might reduce health care costs, but only a longer follow-up will show whether the observed effect persists over time.
On the microstructurally driven heterogeneous response of brain white matter to drug infusion pressure
Authors: Yuan Tian , Zhan Wenbo , Jamal Asad , Dini Daniele
Published: June 2022

Delivering therapeutic agents into the brain via convection-enhanced delivery (CED), a mechanically controlled infusion method, provides an efficient approach to bypass the blood–brain barrier and deliver drugs directly to the targeted focus in the brain. Mathematical methods based on Darcy’s law have been widely adopted to predict drug distribution in the brain to improve the accuracy and reduce the side effects of this technique. However, most of the current studies assume that the hydraulic permeability and porosity of brain tissue are homogeneous and constant during the infusion process, which is less accurate due to the deformability of the axonal structures and the extracellular matrix in brain white matter. To solve this problem, a multiscale model was established in this study, which takes into account the pressure-driven deformation of brain microstructure to quantify the change of local permeability and porosity. The simulation results were corroborated using experiments measuring hydraulic permeability in ovine brain samples. Results show that both hydraulic pressure and drug concentration in the brain would be significantly underestimated by classical Darcy’s law, thus highlighting the great importance of the present multiscale model in providing a better understanding of how drugs transport inside the brain and how brain tissue responds to the infusion pressure. This new method can assist the development of both new drugs for brain diseases and preoperative evaluation techniques for CED surgery, thus helping to improve the efficiency and precision of treatments for brain diseases.
Open-source optimization method for android smartphone single point positioning
Authors: Jiang Changhui , Chen Yuwei , Jia Jianxin , Sun Haibin , Wang Tinghuai , Duan Zhiyong , Hyyppa Juha
Published: June 2022

Nowadays, a chip-scale Global Navigation Satellite System (GNSS) receiver is ubiquitous in smartphones. In a smartphone GNSS receiver, the least square (LS) or Kalman Filter (KF) is implemented to estimate the position. With the aim to improve the smartphone GNSS position accuracy, we propose a position-smoothing method considering more historical information than the traditional methods, i.e., LS and KF. More past states are regarded as unknowns, and a cost function is constructed to optimize these states. An open-source smartphone dataset from Google was used for testing the proposed method. The experimental results indicate that the proposed method outperforms the other conventional methods in position errors. In addition, we open the source code. We expect that the optimization method implemented in the smartphone GNSS position smoothing application can be an illustrative example to clearly introduce such an optimization method and a reference for its implementation, which might inspire some other meaningful and exciting applications in GNSS.
The capital tax paradox in a greening economy
Authors: Borissov Kirill , Bretschger Lucas , Minabutdinov Aleksey
Published: June 2022

We adopt a simple model of endogenous growth with polluting capital and a fixed budget for aggregate emissions. Pollution abatement efficiency is growing over time due to technical progress. We find that long-run capital and consumption are inversely related to the initial capital stock. Capital taxation does not harm the economy but actually raises long-run consumption and production, which we call the “capital tax paradox.” The reason for this surprising result is that in an economy with a binding carbon policy, early abundance of polluting capital is not a blessing but a curse. It is preferable to have a large capital stock when abatement efficiency has grown sufficiently large. The paper also provides novel results on the impact of pollution intensity and the rate of technical progress on the greening of the economy and the pollution permit prices. In the quantitative part, we calibrate model and study economic growth under different assumptions on the basic model parameters.
Robust optimization of a bi-objective tactical resource allocation problem with uncertain qualification costs
Authors: Fotedar Sunney , Strömberg Ann-Brith , Åblad Edvin , Almgren Torgny
Published: June 2022

In the presence of uncertainties in the parameters of a mathematical model, optimal solutions using nominal or expected parameter values can be misleading. In practice, robust solutions to an optimization problem are desired. Although robustness is a key research topic within single-objective optimization, little attention is received within multi-objective optimization, i.e. robust multi-objective optimization.This work builds on recent work within robust multi-objective optimization and presents a new robust efficiency concept for bi-objective optimization problems with one uncertain objective. Our proposed concept and algorithmic contribution are tested on a real-world multi-item capacitated resource planning problem, appearing at a large aerospace company manufacturing high precision engine parts. Our algorithm finds all the robust efficient solutions required by the decision-makers in significantly less time than the approach of Kuhn et al. (Eur J Oper Res 252(2):418–431, 2016) on 28 of the 30 industrial instances.
Workplace ostracism and family social support: a moderated mediation model of personal reputation
Authors: Zhang Haina , Yang Ziwei , Kwan Ho Kwong , Wu Fangjian
Published: June 2022

Work and family are important life domains. This study investigates the relationship between employees’ perceptions of workplace ostracism and their provision of family social support. Integrating social impact theory and self-verification theory, the study provides a novel theoretical framework for examining the influence of workplace ostracism on employees’ provision of family social support. Using a moderated mediation model, it reveals the mediating role of personal reputation and the moderating roles of job social support and perceived organizational support. The results of two three-wave surveys of married employees and their spouses in China demonstrate that the negative relationship between exposure to workplace ostracism and an employee’s provision of family social support is mediated by the employee’s personal reputation. In addition, job social support and perceived organizational support weaken the relationship between personal reputation and family social support and the mediating effect of personal reputation on the relationship between workplace ostracism and family social support. The theoretical and managerial implications of this study for human resource management are discussed.
Grouped feature importance and combined features effect plot
Authors: Au Quay , Herbinger Julia , Stachl Clemens , Bischl Bernd , Casalicchio Giuseppe
Published: June 2022

Interpretable machine learning has become a very active area of research due to the rising popularity of machine learning algorithms and their inherently challenging interpretability. Most work in this area has been focused on the interpretation of single features in a model. However, for researchers and practitioners, it is often equally important to quantify the importance or visualize the effect of feature groups. To address this research gap, we provide a comprehensive overview of how existing model-agnostic techniques can be defined for feature groups to assess the grouped feature importance, focusing on permutation-based, refitting, and Shapley-based methods. We also introduce an importance-based sequential procedure that identifies a stable and well-performing combination of features in the grouped feature space. Furthermore, we introduce the combined features effect plot, which is a technique to visualize the effect of a group of features based on a sparse, interpretable linear combination of features. We used simulation studies and real data examples to analyze, compare, and discuss these methods.
Interpreting deep learning models with marginal attribution by conditioning on quantiles
Authors: Merz Michael , Richman Ronald , Tsanakas Andreas , Wüthrich Mario V.
Published: June 2022

A vast and growing literature on explaining deep learning models has emerged. This paper contributes to that literature by introducing a global gradient-based model-agnostic method, which we call Marginal Attribution by Conditioning on Quantiles (MACQ). Our approach is based on analyzing the marginal attribution of predictions (outputs) to individual features (inputs). Specifically, we consider variable importance by fixing (global) output levels, and explaining how features marginally contribute to these fixed global output levels. MACQ can be seen as a marginal attribution counterpart to approaches such as accumulated local effects, which study the sensitivities of outputs by perturbing inputs. Furthermore, MACQ allows us to separate marginal attribution of individual features from interaction effects and to visualize the 3-way relationship between marginal attribution, output level, and feature value.
Assessing young Korean children’s computational thinking: A validation study of two measurements
Authors: Sung Jihyun
Published: June 2022

Computational thinking (CT) in young children has recently gained attention. This study verified the applicability of the Korean version of the Bebras cards and TACTIC-KIBO in measuring CT among young children in South Korea. A total of 450 children responded to the Bebras cards, TACTIC-KIBO, and Early Numeracy tasks that were used for the following analyses. Item response theory analysis, confirmatory factor analysis, correlation analysis, and calculation of Cronbach’s alpha were conducted to examine the psychometric properties of the validity and reliability of the two measurements. The results showed that these two measurements are acceptable for assessing CT among young children, demonstrating good validity and reliability, despite limitations such as the weak factor loadings of some items and low internal consistency of subfactors. These two CT measurements were significantly and positively correlated with early mathematical ability. Thus, these two measurements are acceptable for assessing CT among young children with varying CT ability, as they present good psychometric properties of the overall scores even though they have low internal consistency of subfactors and slightly weak correlations between subfactors.
Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal
Authors: Proia Eleonora , Ragno Alessio , Antonini Lorenzo , Sabatino Manuela , Mladenovič Milan , Capobianco Roberto , Ragno Rino
Published: June 2022

The main protease (Mpro) of SARS-Cov-2 is the essential enzyme for maturation of functional proteins implicated in viral replication and transcription. The peculiarity of its specific cleavage site joint with its high degree of conservation among all coronaviruses promote it as an attractive target to develop broad-spectrum inhibitors, with high selectivity and tolerable safety profile. Herein is reported a combination of three-dimensional quantitative structure–activity relationships (3-D QSAR) and comparative molecular binding energy (COMBINE) analysis to build robust and predictive ligand-based and structure-based statistical models, respectively. Models were trained on experimental binding poses of co-crystallized Mpro-inhibitors and validated on available literature data. By means of deep optimization both models’ goodness and robustness reached final statistical values of r2/q2 values of 0.97/0.79 and 0.93/0.79 for the 3-D QSAR and COMBINE approaches respectively, and an overall predictiveness values of 0.68 and 0.57 for the SDEPPRED and AAEP metrics after application to a test set of 60 compounds covered by the training set applicability domain. Despite the different nature (ligand-based and structure-based) of the employed methods, their outcome fully converged. Furthermore, joint ligand- and structure-based structure–activity relationships were found in good agreement with nirmatrelvir chemical features properties, a novel oral Mpro-inhibitor that has recently received U.S. FDA emergency use authorization (EUA) for the oral treatment of mild-to-moderate COVID-19 infected patients. The obtained results will guide future rational design and/or virtual screening campaigns with the aim of discovering new potential anti-coronavirus lead candidates, minimizing both time and financial resources. Moreover, as most of calculation were performed through the well-established web portal 3d-qsar.com the results confirm the portal as a useful tool for drug design.

Graphical abstract
Stem cells and common biomaterials in dentistry: a review study
Authors: Mosaddad Seyed Ali , Rasoolzade Boshra , Namanloo Reza Abdollahi , Azarpira Negar , Dortaj Hengameh
Published: June 2022

Stem cells exist as normal cells in embryonic and adult tissues. In recent years, scientists have spared efforts to determine the role of stem cells in treating many diseases. Stem cells can self-regenerate and transform into some somatic cells. They would also have a special position in the future in various clinical fields, drug discovery, and other scientific research. Accordingly, the detection of safe and low-cost methods to obtain such cells is one of the main objectives of research. Jaw, face, and mouth tissues are the rich sources of stem cells, which more accessible than other stem cells, so stem cell and tissue engineering treatments in dentistry have received much clinical attention in recent years. This review study examines three essential elements of tissue engineering in dentistry and clinical practice, including stem cells derived from the intra- and extra-oral sources, growth factors, and scaffolds.
Looking Beyond Linear: A Closer Examination of the Relationship Between Wisdom and Wellbeing
Authors: Glück Judith , Weststrate Nic M. , Scherpf Andreas
Published: June 2022

There has been some controversy about the relationship between wisdom and constructs of the well-being complex. Some wisdom researchers argue that the ability to maintain a high level of well-being, even in the face of very negative experiences, is a core characteristic of wisdom. Other researchers argue that the willingness of wise people to reflect on the darker sides of life might jeopardize well-being. Studies mostly found moderate positive correlations of well-being with self-report wisdom measures and negative, zero, or low positive correlations with open-ended measures of wisdom. This paper tests the hypothesis that the relationship between wisdom and well-being is triangular rather than linear, with highly wise people being high in well-being, but people high in well-being not necessarily being highly wise. A sample of 155 participants (age 23 to 90 years) completed four wisdom measures and three measures from the well-being complex. We analyzed both linear relationships (using correlations) and triangular relationships (using Necessary Condition Analysis). Correlations of well-being with open-ended measures of wisdom were mostly insignificant; correlations with self-report measures of wisdom were mostly significant. However, scatterplots showed the expected triangular relationships and Necessary Condition Analysis indicated medium to large effect sizes for both open-ended and self-report wisdom measures. In sum, our findings show that even if wise individuals think more deeply about difficult aspects of the human existence, they are still able to maintain high levels of well-being.
Pseudo-Boolean optimisation for RobinX sports timetabling
Authors: Lester Martin Mariusz
Published: June 2022

We report on the development of Reprobate, a tool for solving sports timetabling problems in a subset of the RobinX format. Our tool is based around a monolithic translation of a sports timetabling instance into a pseudo-Boolean (PB) optimisation problem; this instance can be solved using existing pseudo-Boolean solvers. Once the tool has found a feasible solution, it can improve it using a second encoding that alters only the home/away pattern of games. We entered our tool into the International Timetabling Competition 2021. While it was effective on many instances, it struggled to cope with schedules involving large break constraints. However, among instances for which it could initially find a feasible solution, the combination of use of a portfolio of solvers, a range of variations on the encoding and the aforementioned local improvement process yielded an average reduction in solution cost of 23%.
On the Strong Liouville Property of Covering Spaces
Authors: Polymerakis Panagiotis
Published: June 2022

Lyons and Sullivan conjectured in Lyons and Sullivan (J. Differential Geom. 19(2), 299–323, 1984) that if p : M → N is a normal Riemannian covering, with N closed, and M has exponential volume growth, then there are non-constant, positive harmonic functions on M. This was proved recently in Polymerakis (Adv. Math. 379, 107552–107558, 2021) exploiting the Lyons-Sullivan discretization and some sophisticated estimates on the green metric on groups. In this note, we provide a self-contained proof relying only on elementary properties of the Brownian motion.
Ankle fractures: a systematic review of patient-reported outcome measures and their measurement properties
Authors: Nguyen Michael Quan , Dalen Ingvild , Iversen Marjolein Memelink , Harboe Knut , Paulsen Aksel
Published: June 2022

Purpose

Ankle fractures are commonly occurring fractures, especially in the aging population, where they often present as fragility fractures. The disease burden and economic costs to the patient and society are considerable. Choosing accurate outcome measures for the evaluation of the management of ankle fractures in clinical trials facilitates better decision-making. This systematic review assesses the evidence for the measurement properties of patient-reported outcome measures (PROMs) used in the evaluation of adult patients with ankle fractures.

Methods

Searches were performed in CINAHL, EMBASE, Medline and Google Scholar from the date of inception to July 2021. Studies that assessed the measurement properties of a PROM in an adult ankle fracture population were included. The included studies were assessed according to the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methodology for systematic reviews of PROMs.

Results

In total, 13 different PROMs were identified in the 23 included articles. Only the Ankle Fracture Outcome of Rehabilitation Measure (A-FORM) presented some evidence on content validity. The Olerud-Molander Ankle Score (OMAS) and Self-reported Foot and Ankle Score (SEFAS) displayed good evidence of construct validity and internal consistency. The measurement properties of the OMAS, LEFS and SEFAS were most studied.

Conclusion

The absence of validation studies covering all measurement properties of PROMs used in the adult ankle fracture population precludes the recommendation of a specific PROM to be used in the evaluation of this population. Further research should focus on validation of the content validity of the instruments used in patients with ankle fractures.
Connections matter: a proxy measure for evaluating network membership with an application to the Seventh Research Framework Programme
Authors: Cinelli Matteo , Ferraro Giovanna , Iovanella Antonio
Published: June 2022

Although the topic of networks has received significant attention from the scientific literature, it remains to be seen whether it is possible to quantify the degree to which an organisation benefits from being part of a network. Starting from the concept of network value and that of Metcalfe’s Law, this paper introduces and defines the collective network effect (CNE). CNE is based on the concept that a network member is not only affected by its friends but also by the friends of its friends. By taking into account network connection patterns, CNE provides a proxy for quantifying the benefit of network membership. We computed the CNE for the nodes of a large network built using the whole set of common projects among the participants of the 7th Framework Programme for Research and Technological Development of the European Commission. The obtained results show that nodes with a higher CNE have access to substantially more conspicuous fundings than nodes with a lower CNE. In general, such a measure could supplement other centrality measures and be useful for organisations and companies aiming to evaluate both their current situation and the potential partners they should link with in order to extract the highest benefits from network membership.
Occluded Video Instance Segmentation: A Benchmark
Authors: Qi Jiyang , Gao Yan , Hu Yao , Wang Xinggang , Liu Xiaoyu , Bai Xiang , Belongie Serge , Yuille Alan , Torr Philip H. S. , Bai Song
Published: June 2022

Can our video understanding systems perceive objects when a heavy occlusion exists in a scene? To answer this question, we collect a large-scale dataset called OVIS for occluded video instance segmentation, that is, to simultaneously detect, segment, and track instances in occluded scenes. OVIS consists of 296k high-quality instance masks from 25 semantic categories, where object occlusions usually occur. While our human vision systems can understand those occluded instances by contextual reasoning and association, our experiments suggest that current video understanding systems cannot. On the OVIS dataset, the highest AP achieved by state-of-the-art algorithms is only 16.3, which reveals that we are still at a nascent stage for understanding objects, instances, and videos in a real-world scenario. We also present a simple plug-and-play module that performs temporal feature calibration to complement missing object cues caused by occlusion. Built upon MaskTrack R-CNN and SipMask, we obtain a remarkable AP improvement on the OVIS dataset. The OVIS dataset and project code are available at http://songbai.site/ovis.
CT-based radiomics for prediction of therapeutic response to Everolimus in metastatic neuroendocrine tumors
Authors: Caruso Damiano , Polici Michela , Rinzivillo Maria , Zerunian Marta , Nacci Ilaria , Marasco Matteo , Magi Ludovica , Tarallo Mariarita , Gargiulo Simona , Iannicelli Elsa , Annibale Bruno , Laghi Andrea , Panzuto Francesco
Published: June 2022

Aim

To test radiomic approach in patients with metastatic neuroendocrine tumors (NETs) treated with Everolimus, with the aim to predict progression-free survival (PFS) and death.

Materials and methods

Twenty-five patients with metastatic neuroendocrine tumors, 15/25 pancreatic (60%), 9/25 ileal (36%), 1/25 lung (4%), were retrospectively enrolled between August 2013 and December 2020. All patients underwent contrast-enhanced CT before starting Everolimus, histological diagnosis, tumor grading, PFS, overall survival (OS), death, and clinical data collected. Population was divided into two groups: responders (PFS ≤ 11 months) and non-responders (PFS > 11 months). 3D segmentation was performed on whole liver of naïve CT scans in arterial and venous phases, using a dedicated software (3DSlicer v4.10.2). A total of 107 radiomic features were extracted and compared between two groups (T test or Mann–Whitney), radiomics performance assessed with receiver operating characteristic curve, Kaplan–Meyer curves used for survival analysis, univariate and multivariate logistic regression performed to predict death, and interobserver variability assessed. All significant radiomic comparisons were validated by using a synthetic external cohort. P < 0.05 is considered significant.

Results

15/25 patients were classified as responders (median PFS 25 months and OS 29 months) and 10/25 as non-responders (median PFS 4.5 months and OS 23 months). Among radiomic parameters, Correlation and Imc1 showed significant differences between two groups (P < 0.05) with the best performance (internal cohort AUC 0.86–0.84, P < 0.0001; external cohort AUC 0.84–0.90; P < 0.0001). Correlation < 0.21 resulted correlated with death at Kaplan–Meyer analysis (P = 0.02). Univariate analysis showed three radiomic features independently correlated with death, and in multivariate analysis radiomic model showed good performance with AUC 0.87, sensitivity 100%, and specificity 66.7%. Three features achieved 0.77 ≤ ICC < 0.83 and one ICC = 0.92.

Conclusions

In patients affected by metastatic NETs eligible for Everolimus treatment, radiomics could be used as imaging biomarker able to predict PFS and death.
Identifying leverage points for shifting Water-Energy-Food nexus cases towards sustainability through the Networks of Action Situations approach combined with systems thinking
Authors: Kellner Elke
Published: June 2022

In the twenty-first century, the world´s demand for natural resources is more pressing and deeply interconnected than ever before. The Water-Energy-Food (WEF) nexus has gained growing interest as a promising concept for complex resource management challenges. However, knowledge about the root causes of cross-sectoral coordination problems and how they can be shifted towards sustainability is still lacking. This paper fills this gap by conceptualising a WEF nexus case with the Networks of Action Situations approach combined with systems thinking. This approach allows a deep analysis of the root causes of coordination gaps, facilitates a joint understanding of the system dynamics to identify leverage points for shifting the WEF nexus towards sustainability, and to envision the impact of potential interventions on the network of action situations and their outcome. The value and the reciprocal benefits of the combined approach introduced are illustrated for a case in Switzerland, Europe. The results show a coordination gap between the different sectors and that not all sectors were considered equally. This leads to a prioritization of energy production over water-bound biodiversity and food production. The root causes for this outcome are a focus to mitigate climate change and awareness of biodiversity but much less awareness of the impacts of climate change on Swiss water bodies. The study identifies five deep leverage points for interventions, which are expected to ensure a shared systemic problem understanding and more balanced coordination between different sectors resulting in the sustainable and equitable provision and utilization of WEF resources.
Irish Roma: a literature review
Authors: O’Sullivan Aoife , Rooney Darragh , O’Gorman Clodagh S. , Murphy Anne Marie
Published: June 2022

It is estimated that the Roma are the largest ethnic minority population in Europe (HSE in Roma Intercultural Guide, 2020). There is a dearth of information in the Irish medical literature on the Roma in Ireland. The aim of this paper is to provide an overview of the Roma in Ireland, to identify Roma-specific culture, family structure, paediatric illness, and health equality within the context of the Irish population. To do this, a review was completed of the English language literature on Roma available from 2010 to 2021 using web of science databases. Relevant clinicians and organisations were contacted to compile data on the Irish Roma to inform appropriate action in Roma child health. Up until 2021, the national census in Ireland did not include Roma as a category in ethnicity (HSE in Roma Intercultural Guide, 2020). As such, it is difficult to get an accurate number of the population in Ireland. Pavee Point Traveller and Roma Centre in 2009 estimated a population of approximately 5000 (National Traveller and Roma Inclusion Strategy in Justice.ie, 2017). The majority of the Roma in Ireland are Romanian (National Traveller and Roma Inclusion Strategy in Justice.ie, 2017). There is limited understanding of their culture in Ireland (National Traveller and Roma Inclusion Strategy in Justice.ie, 2017). Often overlooked, small indigenous groups or nomadic races have unmet medical needs (National Traveller and Roma Inclusion Strategy in Justice.ie, 2017). Across Europe, they have a lower life expectancy and higher burden of illness due to lower socioeconomic status, discrimination, and poor access to health services (National Traveller and Roma Inclusion Strategy in Justice.ie, 2017). Cultural competence is necessary to provide effective healthcare.