Search

The effective prevention of many infectious and non-infectious diseases relies on people concurrently adopting multiple prevention behaviors. Individual characteristics, opinion leaders, and social networks have been found to explain why people take up specific prevention behaviors. However, it remains challenging to understand how these factors shape multiple interdependent behaviors. We propose a multilevel social network framework that allows us to study the effects of individual and social factors on multiple disease prevention behaviors simultaneously. We apply this approach to examine the factors explaining eight malaria prevention behaviors, using unique interview data collected from 1529 individuals in 10 hard-to-reach, malaria-endemic villages in Meghalaya, India in 2020–2022. Statistical network modelling reveals exposure to similar behaviors in one's social network as the most important factor explaining prevention behaviors. Further, we find that households indirectly shape behaviors as key contexts for social ties. Together, these two factors are crucial for explaining the observed patterns of behaviors and social networks in the data, outweighing individual characteristics, opinion leaders, and social network size. The results highlight that social network processes may facilitate or hamper disease prevention efforts that rely on a combination of behaviors. Our approach is well suited to study these processes in the context of various diseases. [ABSTRACT FROM AUTHOR]

Classic diffusely infiltrating lobular carcinoma has imaging features divergent from the breast cancers originating from the terminal ductal lobular units and from the major lactiferous ducts. Although the term "invasive lobular carcinoma" implies a site of origin within the breast lobular epithelium, we were unable to find evidence supporting this assumption. Exceptional excess of fibrous connective tissue and the unique cell architecture combined with the aberrant features at breast imaging suggest that this breast malignancy has not originated from cells lining the breast ducts and lobules. The only remaining relevant component of the fibroglandular tissue is the mesenchyme. The cells freshly isolated and cultured from diffusely infiltrating lobular carcinoma cases contained epithelial–mesenchymal hybrid cells with both epithelial and mesenchymal properties. The radiologic and histopathologic features of the tumours and expression of the mesenchymal stem cell positive markers CD73, CD90, and CD105 all suggest development in the direction of mesenchymal transition. These hybrid cells have tumour-initiating potential and have been shown to have poor prognosis and resistance to therapy targeted for malignancies of breast epithelial origin. Our work emphasizes the need for new approaches to the diagnosis and therapy of this highly fatal breast cancer subtype. [ABSTRACT FROM AUTHOR]

• The paper presents the data collection strategy of the Swiss StudentLife Study. • The study investigated the emergence of undergraduate student communities. • It combined multiple methods of data collection, including surveys and social sensors. • Multidimensional and dynamic networks were measured on different time scales. • Practical challenges and solutions are discussed to help future empirical studies. The Swiss StudentLife Study (SSL Study) is a longitudinal social network data collection conducted in three undergraduate student cohorts (N 1 = 226, N 2 = 261, N 3 = 660) in 2016−2019. The main goal of the study was to understand the emergence of informal student communities and their effects on different individual outcomes, such as well-being, motivation, and academic success. To this end, multiple dimensions of social ties were assessed, combining computer-based surveys, social sensors, social media data, and field experiments. The dynamics of these social networks were measured on various time scales. In this paper, we present the design and data collection strategy of the SSL Study. We discuss practical challenges and solutions related to the data collection in four areas that were key to the success of our project: study design, research ethics, communication, and population definition. [ABSTRACT FROM AUTHOR]

• The paper presents the data collection strategy of the Swiss StudentLife Study. • The study investigated the emergence of undergraduate student communities. • It combined multiple methods of data collection, including surveys and social sensors. • Multidimensional and dynamic networks were measured on different time scales. • Practical challenges and solutions are discussed to help future empirical studies. The Swiss StudentLife Study (SSL Study) is a longitudinal social network data collection conducted in three undergraduate student cohorts (N 1 = 226, N 2 = 261, N 3 = 660) in 2016−2019. The main goal of the study was to understand the emergence of informal student communities and their effects on different individual outcomes, such as well-being, motivation, and academic success. To this end, multiple dimensions of social ties were assessed, combining computer-based surveys, social sensors, social media data, and field experiments. The dynamics of these social networks were measured on various time scales. In this paper, we present the design and data collection strategy of the SSL Study. We discuss practical challenges and solutions related to the data collection in four areas that were key to the success of our project: study design, research ethics, communication, and population definition. [ABSTRACT FROM AUTHOR]

Összefoglaló. A pajzsmirigy az első szervek közé tartozik, melyek megjelenítésében, betegségeinek felfedezésében az ultrahang-diagnosztikának fontos szerepe van. A pajzsmirigybetegségek a lakosság jelentős részét érintik, és a technika fejlődésével egyre több pajzsmirigyeltérés, göb kerül felfedezésre. A pajzsmirigy rosszindulatú folyamatainak nincs egy bizonyos specifikus jele, viszont az ultrahangkép alapján meghatározhatók a malignitásra gyanús eltérések. Erre az elmúlt években több összefoglaló rendszer is született. Jelen összefoglaló tanulmányunknak az a célja, hogy bemutassuk a pajzsmirigy ultrahangdiagnosztikájának fejlődését; összehasonlítsuk az egyes leletezési rendszereket, úgymint TIRADS, EU-TIRADS, K-TIRADS, melyek célja a feltehetőleg rosszindulatú göbök kiszűrése, azonosítása a mindennapi rutinmunka során; vizsgáljuk a különböző rendszerek kapcsolatát a patológia által használt Bethesda-pontrendszerrel. Az ultrahangvizsgálat megfelelő értékelése, a pontrendszerek ismerete segíthet a pajzsmirigygöb differenciáldiagnózisában, a követési frekvencia meghatározásában, csökkentheti az aspirációs citológiák számát, ezzel támogatva a klinikai döntéshozatalt. Orv Hetil. 2021; 162(14): 530–541. Summary. The thyroid gland was one of the first organs, the ultrasound (US) examination of which has played an important role. The thyroid diseases affect a large part of the population, and with the development of imaging technology, more and more thyroid abnormalities, nodules and malignant lesions are being discovered. There are no specific signs of thyroid cancer, but the suspicious signs could be determined by US. In recent years, several systems have been developed. The aim of our review is to demonstrate the development of US diagnostics of the thyroid gland; to compare the different reporting systems, such as TIRADS, EU-TIRADS, K-TIRADS, which should help to identify the questionable lesions in the daily routine work. We examine the relationship between the different US systems and the Bethesda point score used by pathologists. The literature review shows that the US examination supports the clinical decisions, helps to select, who should have a fine-needle biopsy, and allows to determine the frequency of follow-up. The number of unnecessary fine-needle biopsies could be reduced, too. Our paper is part of a bigger research, the ethical license number is 23/2020, University of Szeged. Orv Hetil. 2021; 162(14): 530–541. [ABSTRACT FROM AUTHOR]

An important puzzle in social network research is to explain how macro-level structures emerge from micro-level network processes. Explaining the emergence and stability of structural groups in social networks is particularly difficult for two reasons. First, because groups are characterized both by high connectedness within (group cohesion) and lack of connectedness between them (group boundaries). Second, because a large number of theoretical micro-level network processes contribute to their emergence. We argue that traditional social network theories that are concerned with the evolution of positive relations (forces of attraction) are not sufficient to explain the emergence of groups because they lack mechanisms explaining the emergence of group boundaries. Models that additionally account for the evolution of negative ties (forces of repulsion) may be better suited to explain the emergence and stability of groups. We build a theoretical model and illustrate its usefulness by fitting stochastic actor-oriented models (SAOMs) to empirical data of co-evolving networks of friendship and dislike among 479 secondary-school students. The SAOMs include a number of newly developed effects expressing the co-evolution between positive and negative ties. We then simulate networks from the estimated models to explore the micro-macro link. We find that a model that considers forces of attraction and repulsion simultaneously is better at explaining groups in social networks. In the long run, however, the empirically informed simulations generate networks that are too stylized to be realistic, raising further questions about model degeneracy and time heterogeneity of group processes. [ABSTRACT FROM AUTHOR]

Background: Chemotherapeutic agents are often mutagenic. Induction of mutation associated neo-epitopes is one of the mechanisms by which chemotherapy is thought to increase the number of tumor-infiltrating lymphocytes. It is not known, however, whether treatment with various chemotherapeutic agents with different mutagenic capacity induce a significantly different number of stromal tumor-infiltrating lymphocytes (StrTIL) in residual cancer. Methods: One hundred and twenty breast carcinoma cases with residual disease that were treated with one of three types of pre-operative chemotherapy regimens were selected for the study. The percentage of StrTIL was evaluated in pretreatment core biopsies (pre-StrTIL) and post-treatment surgical tumor samples (post-StrTIL). TIL changes (ΔStrTIL) were calculated from the difference between post-StrTIL and pre-StrTIL. Results: When analyzing the pre-StrTIL and post-StrTIL among the three treatment groups, we detected significant StrTIL increase independently of the treatment applied. Based on distant metastases-free survival analysis, both post-StrTIL and ΔStrTIL was found to be independent prognostic factor in HR negative cases. Conclusions: Significant increase of StrTIL in the residual disease was observed in patients treated with the highly (platinum), moderately (cyclophosphamide) and marginally mutagenic chemotherapeutic agents (taxane, anthracycline). Increase in StrTIL in residual cancer compared to pretreatment tumor tissue is associated with improved distant metastasis-free survival in cases with HR negative breast carcinoma. [ABSTRACT FROM AUTHOR]

• Much research on informal status in groups analyses friendship networks. • Studies assume that friendship nominations signal status attribution. • This assumption has not yet been tested using multiple network measures of status. • We test the assumption on large-scale data from 848 school classes across Europe. • We find that friendship is not a good proxy for 3 sociometric measures of status. Informal status in communities is a relational phenomenon, it is attributed by others, and can be analysed using social network measures. However, many studies measure a single network relation – friendship – and interpret it related to status hierarchies: the number of friends is assumed to indicate status and asymmetric friendships are assumed to indicate status difference. While this practice is grounded in theoretical models of group structure, its assumptions have not been tested thoroughly and contradict research from various fields. We assess the validity of the approach using multiplex network data with three measures of status attribution from 17,469 high-school students in 5 European countries. We find that (i) asymmetric and symmetric friendships rarely overlap with status attributions, (ii) asymmetric friends are closer in status than expected by chance, and (iii) friendship and status attribution indegrees are only moderately correlated. These findings show that friendship relations cannot substitute for direct measurements of status in the study of informal hierarchies. [ABSTRACT FROM AUTHOR]

Formal verification is approaching a point where it will be reliably applicable to embedded software. Even though formal verification can efficiently analyze multi-threaded applications, multi-core processors are often considered too dangerous to use in critical systems, despite the many benefits they can offer. One reason is the advanced memory consistency model of such CPUs. Nowadays, most software verifiers assume strict sequential consistency, which is also the naïve viewof programmers. Modernmulti-core processors, however, rarely guarantee this assumption by default. In addition, complex processor architectures may easily contain design faults. Thanks to the recent advances in hardware verification, these faults are increasingly visible and can be detected even in existing processors, giving an opportunity to compensate for the problem in software. In this paper, we propose a generic approach to consider inconsistent behavior of the hardware in the analysis of software. Our approach is based on formal methods and can be used to detect the activation of existing hardware faults on the application level and facilitate their mitigation in software. The approach relies heavily on recent results of model checking and hardware verification and offers new, integrative research directions. We propose a partial solution based on existing model checking tools to demonstrate feasibility and evaluate their performance in this context. [ABSTRACT FROM AUTHOR]

Palpable neck masses are often the only signs of patients visiting their ENT specialists. Lymphadenopathy may be a primary or secondary manifestation of numerous benign and malignant disorders. The medical history, physical examination, imaging and pathological examination may help to set the appropriate diagnosis. Lymph node infarction is a very rare entity among the various pathologies involving the lymph nodes. We hereby present three cases, in which infarction was the only symptom, no associated condition occurred. [ABSTRACT FROM AUTHOR]

Purpose: Conjunctival naevi are the most frequently diagnosed primary melanocytic lesions of the conjunctiva. The clinical manifestations are greatly variable which may result in diagnostic difficulties and differential diagnostic confusions. Therefore aims of the present study were: 1) to assess the morphologic features of conjunctival naevi; 2) to delineate the anterior segment optical coherence tomography (AS-OCT) characteristics of these lesions; 3) to compare AS-OCT and ultrasound biomicroscopy (UBM) as diagnostic tools in these alterations and 4) to correlate histological results with the AS-OCT pictures in case of surgically excised naevi. Methods: All lesions were photo-documented. AS-OCT and UBM (over the age of 18 years) were performed. Surgically excised lesions were admitted to histological examinations. Results: In our series of 57 conjunctival naevi, 54.4% were highly pigmented, 15.8% proved to be amelanotic. AS-OCT could detect intralesional cysts in 61.4% of the naevi, while slit-lamp and UBM proved to be less sensitive (40.3% vs. 28.5%). UBM could visualize the posterior margins of all naevi, while AS-OCT proved to be less sensitive with the detection of 89.4% of posterior naevus margins. Thickness of the conjunctival epithelial layer could be measured with AS-OCT in case of subepithelial naevi, while no distinct epithelial layer could be detected in compound and junctional naevi. Conclusions: Superiority of AS-OCT over UBM was demonstrated in visualizing internal structures of conjunctival naevi. UBM proved to be a better tool in highly pigmented and remarkably elevated naevi. Correlation was found between the histological type of the naevus and the thickness of the epithelial layer covering the lesion. [ABSTRACT FROM AUTHOR]

Social relations are multiplex by nature: actors in a group are tied together by various types of relationships. To understand and explain group processes it is, therefore, important to study multiple social networks simultaneously in a given group. However, with multiplexity the complexity of data also increases. Although some multivariate network methods (e.g. Exponential Random Graph Models, Stochastic Actor-oriented Models) allow to jointly analyze multiple networks, modeling becomes complicated when it focuses on more than a few (2–4) network dimensions. In such cases, dimension reduction methods are called for to obtain a manageable set of variables. Drawing on existing statistical methods and measures, we propose a procedure to reduce the dimensions of multiplex network data measured in multiple groups. We achieve this by clustering the networks using their pairwise similarities, and constructing composite network measures as combinations of the networks in each resulting cluster. The procedure is demonstrated on a dataset of 21 interpersonal network dimensions in 18 Hungarian high-school classrooms. The results indicate that the network items organize into three well-interpretable clusters: positive, negative, and social role attributions. We show that the composite networks defined on these three relationship groups overlap but do not fully coincide with the network measures most often used in adolescent research, such as friendship and dislike. [ABSTRACT FROM AUTHOR]

Whereas previous studies on teacher collaboration have focused almost exclusively on improving teaching, this paper investigates collaboration in three highly important school improvement areas. Data for three collaboration networks were collected in four secondary schools in Switzerland in 2018 on teachers exploring new ideas on teaching (teaching improvement), teamwork (team improvement), and school organization (organizational improvement). Using social network analysis, we examined to what extent the collaboration networks overlap, how network structures differ, and what factors explain these differences. The results revealed substantial differences between collaboration in the three areas. This suggests that future research should examine collaboration from a multidimensional network perspective. [ABSTRACT FROM AUTHOR]

Formal verification is becoming a fundamental step of safety-critical and model-based software development. As part of the verification process, model checking is one of the current advanced techniques to analyse the behaviour of a system. Symbolic model checking is an efficient approach to handling even complex models with huge state spaces. Saturation is a symbolic algorithm with a special iteration strategy, which is efficient for asynchronous models. Recent advances have resulted in many new kinds of saturation-based algorithms for state space generation and bounded state space generation and also for structural model checking. In this paper, we examine how the combination of two advanced model checking algorithms - bounded saturation and saturationbased structural model checking - can be used to verify systems. Our work is the first attempt to combine these approaches, and this way we are able to handle and examine complex or even infinite state systems. Our measurements show that we can exploit the efficiency of saturation in bounded model checking. [ABSTRACT FROM AUTHOR]