A consensus-based core feature set for surgical complexity at laparoscopic hysterectomy

BACKGROUND: There are no current standardized and accepted methods to characterize the surgical complexity of a laparoscopic hysterectomy. This leads to challenges when trying to understand the relationship between the patient and the surgical features and outcomes. The development of core feature sets for laparoscopic hysterectomy studies would enable future trials to measure the similar meaningful variables that can contribute to surgical complexity and outcomes. OBJECTIVE: The purpose of this study was to develop a core feature set for the surgical complexity of a laparoscopic hysterectomy. STUDY DESIGN: This was an international Delphi consensus study. A comprehensive literature review was conducted to identify the features that were reported in studies on laparoscopic hysterectomy complexity. All the features were presented for evaluation and prioritization to key experts in 3 rounds of online surveys. A priori consensus criteria were used to reach agreement on the final outcomes for inclusion in the core feature set. RESULTS: Experts represented North America, South America, Europe, Africa, Asia, and Oceania. Most of them had fellowship training in minimally invasive gynecologic surgery. Sixty-four potential features were entered into round 1. Experts reached a consensus on 7 features to be included in the core feature set. These features were grouped under the following domains: 1) patient features, 2) uterine features, and 3) nonuterine pelvic features. The patient features include obesity and other nonobesity comorbidities that alter or limit the ability of a surgeon to perform the basic or routine steps in a laparoscopic hysterectomy. The uterine features include the size and presence of fibroids. The nonuterine pelvic features include endometriosis, ovarian cysts, and adhesions (bladder-to-uterus, rectouterine pouch, and other adhesions). CONCLUSION: Using robust consensus science methods, an international consortium of experts has developed a core feature set that should be assessed and reported in all future studies that aim to assess the relationship between the patient features and surgical outcomes of laparoscopic hysterectomy

Does context really collapse in social media interaction?

'Context collapse' (CC) refers to the phenomenon widely debated in social media research, where various audiences convene around single communicative acts in new networked publics, causing confusion and anxiety among social media users. The notion of CC is a key one in the reimagination of social life as a consequence of the mediation technologies we associate with the Web 2.0. CC is undertheorized, and in this paper we intend not to rebuke it but to explore its limits. We do so by shifting the analytical focus from "online communication" in general to specific forms of social action performed, not by predefined "group" members, but by actors engaging in emerging kinds of sharedness based on existing norms of interaction. This approach is a radical choice for action rather than actor, reaching back to symbolic interactionism and beyond to Mead, Strauss and other interactionist sociologists, and inspired by contemporary linguistic ethnography and interactional sociolinguistics, notably the work of Rampton and the Goodwins. We apply this approach to an extraordinarily complex Facebook discussion among Polish people residing in The Netherlands - a set of data that could instantly be selected as a likely site for context collapse. We shall analyze fragments in detail, showing how, in spite of the complications intrinsic to such online, profoundly mediated and oddly 'placed' interaction events, participants appear capable of 'normal' modes of interaction and participant selection. In fact, the 'networked publics' rarely seem to occur in practice, and contexts do not collapse but expand continuously without causing major issues for contextualization. The analysis will offer a vocabulary and methodology for addressing the complexities of the largest new social space on earth: the space of online culture

Zdobne fasady, smętne palimpsesty. Nie tylko o wyglądzie łódzkich osiedli robotniczych

Fasada i palimpsest to metafory, za pomocą których można opisać każde miasto, jego użytkowników, funkcje, wydarzenia. Posługuję się nimi, by zaprezentować osiedla robotnicze, czyli konkretne twory architektoniczne w mieście. Liczebność warstw i bogactwo zapisanych w nich treści pozwalają mi zwrócić uwagę tylko na niektóre, przedstawić wybrane zjawiska z nimi związane, opowiedzieć, co „mówią” i w czyim imieniu.The facade and the palimpsest are metaphors by means of which it is possible to describe any city, its users, functions and events. I use them to present working-class residential estates, that is definite architectural creations within a city. The number of layers and richness of meanings inscribed therein permit me to focus on only a few of them, to present selected phenomena associated with them, and to describe what they are telling us and in whose name they speak

Machine Learning-Based Models for Prediction of Toxicity Outcomes in Radiotherapy

In order to limit radiotherapy (RT)-related side effects, effective toxicity prediction and assessment schemes are essential. In recent years, the growing interest toward artificial intelligence and machine learning (ML) within the science community has led to the implementation of innovative tools in RT. Several researchers have demonstrated the high performance of ML-based models in predicting toxicity, but the application of these approaches in clinics is still lagging, partly due to their low interpretability. Therefore, an overview of contemporary research is needed in order to familiarize practitioners with common methods and strategies. Here, we present a review of ML-based models for predicting and classifying RT-induced complications from both a methodological and a clinical standpoint, focusing on the type of features considered, the ML methods used, and the main results achieved. Our work overviews published research in multiple cancer sites, including brain, breast, esophagus, gynecological, head and neck, liver, lung, and prostate cancers. The aim is to define the current state of the art and main achievements within the field for both researchers and clinicians

Identiofication and Structuralization of Company External Environemnt Dimensions

The paper puts domestic and international conclusions of research results on structuralization of company environment regarding its dimensions or features in order. The author describes the process of identification and structuralization of company external environment regarding occurring limitations. The paper focuses on presentation and analysis of synthetic dimensions of company external environment applied not only in theoretical formulations, but mainly in empirical formulations. The aim of the paper is organizing research results on structuralization and typologies of company external environment.business environment, strategic management

Ksenia Starosielska - najlepsza przyjaciółka polskich pisarzy

The presented paper is devoted to Ksenia Starosielska — one of the most prominent translators of Polish literature into Russian language. She has translated many literary works of such outstanding Polish writers as Jarosław Iwaszkiewicz, Marek Hłasko, Wiesław Myśliwski, Tadeusz Nowak, Kornel Filipowicz, Tadeusz Konwicki, Jerzy Pilch and many others. For her work she has been, among others, awarder Order of Merit of the Republic of Poland, Polish Pen‑club Award, ZAIKS Award. Aside from that, Ksenia Starosielska is the editor of magazine „Иностранная литература” (“Foreign Literature”). She is also the supervisor of seminar for young translator under the auspices of Polish Cultural Center in Moskow

Does context really collapse in social media interaction?

‘Context collapse’ (CC) refers to the phenomenon widely debated in social media research, where various audiences convene around single communicative acts in new networked publics, causing confusion and anxiety among social media users. The notion of CC is a key one in the reimagination of social life as a consequence of the mediation technologies we associate with the Web 2.0. CC is undertheorized, and in this paper we intend not to rebuke it but to explore its limits. We do so by shifting the analytical focus from “online communication” in general to specific forms of social action performed, not by predefined “group” members, but by actors engaging in emerging kinds of sharedness based on existing norms of interaction. This approach is a radical choice for action rather than actor, reaching back to symbolic interactionism and beyond to Mead, Strauss and other interactionist sociologists, and inspired by contemporary linguistic ethnography and interactional sociolinguistics, notably the work of Rampton and the Goodwins. We apply this approach to an extraordinarily complex Facebook discussion among Polish people residing in The Netherlands – a set of data that could instantly be selected as a likely site for context collapse. We shall analyze fragments in detail, showing how, in spite of the complications intrinsic to such online, profoundly mediated and oddly ‘placed’ interaction events, participants appear capable of ‘normal’ modes of interaction and participant selection. In fact, the ‘networked publics’ rarely seem to occur in practice, and contexts do not collapse but expand continuously without causing major issues for contextualization. The analysis will offer a vocabulary and methodology for addressing the complexities of the largest new social space on earth: the space of online culture

Recent advances in radiation oncology

Radiotherapy (RT) is very much a technology-driven treatment modality in the management of cancer. RT techniques have changed significantly over the past few decades, thanks to improvements in engineering and computing. We aim to highlight the recent developments in radiation oncology, focusing on the technological and biological advances. We will present state-of-the-art treatment techniques, employing photon beams, such as intensity-modulated RT, volumetric-modulated arc therapy, stereotactic body RT and adaptive RT, which make possible a highly tailored dose distribution with maximum normal tissue sparing. We will analyse all the steps involved in the treatment: imaging, delineation of the tumour and organs at risk, treatment planning and finally image-guidance for accurate tumour localisation before and during treatment delivery. Particular attention will be given to the crucial role that imaging plays throughout the entire process. In the case of adaptive RT, the precise identification of target volumes as well as the monitoring of tumour response/modification during the course of treatment is mainly based on multimodality imaging that integrates morphological, functional and metabolic information. Moreover, real-time imaging of the tumour is essential in breathing adaptive techniques to compensate for tumour motion due to respiration. Brief reference will be made to the recent spread of particle beam therapy, in particular to the use of protons, but also to the yet limited experience of using heavy particles such as carbon ions. Finally, we will analyse the latest biological advances in tumour targeting. Indeed, the effectiveness of RT has been improved not only by technological developments but also through the integration of radiobiological knowledge to produce more efficient and personalised treatment strategies