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Background In everyday conversations, a person with aphasia (PWA) compensates for their language impairment by relying on multimodal and material resources, as well as on their conversation partners. However, some social actions people perform in authentic interaction, proposing a joint future activity, for example, ordinarily rely on a speaker producing a multi-word utterance. Thus, the language impairment connected to aphasia may impede the production of such proposals, consequently hindering the participation of PWAs in the planning of future activities. Aims To investigate (1) how people with post-stroke chronic aphasia construct proposals of joint future activities in everyday conversations compared with their familiar conversation partners (FCPs); and (2) how aphasia severity impacts on such proposals and their uptake. Methods & Procedures Ten hours of video-recorded everyday conversations from seven persons with mild and severe aphasia of varying subtypes and their FCPs were explored using conversation analysis. We identified 59 instances where either party proposed a joint future activity and grouped such proposals according to their linguistic format and sequential position. Data are in Finnish. Outcomes & Results People with mild aphasia made about the same number of proposals as their FCPs and used similar linguistic formats to their FCPs when proposing joint future activities. This included comparable patterns associated with producing a time reference, which was routinely used when a proposal initiated a planning activity. Mild aphasia manifested itself as within-turn word searches that were typically self-repaired. In contrast, people with severe aphasia made considerably fewer proposals compared with their FCPs, the proposal formats being linguistically unidentifiable. This resulted in delayed acknowledgement of the PWAs' talk as a proposal. Conclusions & Implications Mild aphasia appears not to impede PWAs' ability to participate in the planning of joint future activities, whereas severe aphasia is a potential limitation. To address this possible participatory barrier, we discuss clinical implications for both therapist-led aphasia treatment and conversation partner training. WHAT THIS PAPER ADDS What is already known on the subject PWAs use multimodal resources to compensate for their language impairment in everyday conversations. However, certain social actions, such as proposing a joint future activity, cannot ordinarily be accomplished without language. What this paper adds to existing knowledge The study demonstrates that proposing joint future activities is a common social action in everyday conversations between PWAs and their family members. People with mild aphasia used typical linguistic proposal formats, and aphasic word-finding problems did not prevent FCPs from understanding the talk as a proposal. People with severe aphasia constructed proposals infrequently using their remaining linguistic resources, a newspaper connecting the talk to the future and the support from FCPs. What are the potential or actual clinical implications of this work? We suggest designing aphasia treatment with reference to the social action of proposing a joint future activity. Therapist-led treatment could model typical linguistic proposal formats, whereas communication partner training could incorporate FCP strategies that scaffold PWAs' opportunities to construct proposals of joint future activities. This would enhance aphasia treatment's ecological validity, promote its generalization and ultimately enable PWAs to participate in everyday planning activities.

The war and Russian aggression against Ukraine require government and society long-term extraordinary efforts. It’s not only in the field of the destroyed economy. The primary necessity is to restore a dignified life to every person affected by the war, military or civilian. The fate of each of us, our society, and our country in general will depend on efforts effectiveness in this direction. Objective. To develop and substantiate proposals for a systematic approach to the provision of medical rehabilitation assistance in the country. Results. The principles on which it is expedient to create a system of rehabilitation assistance in Ukraine have been formulated and substantiated. They are the principles of statehood, modernity, science, continuity, phasing and unified tactics, regionalism, specializations, self-rehabilitation. Each principle is briefly described, the experience of the world's leading countries is given. The stateand society role in the rehabilitation process is noted. Proposals. Develop a strategy, concept and government program for creating a rehabilitation assistance system in Ukraine. Provide a construction and equipment of regional rehabilitation centers (RC) within the post-war country renovation program. It has to be used worldwide principles of new hospital’s design and construction regarding the 200 inpatient beds in the unit. To locate RC outside of bigcities, usually. Training of rehabilitation specialists should be provided in various levels medical educational institutions. Modified vehicles to manual control for disable people and training in its use. To prevent the liquidation of Ukrainian Research Prosthetics Institution. To transfer this institution functions and the property complex to Sytenko Institute of Spine and Joint Pathology National Ukrainian Academy of Medical Sciences. To transfer research medical rehabilitation organizer and executor functions to the National Ukrainian Academy of Medical Sciences, in generally., Війна, розв’язана росією, потребує від держави та суспільства надзвичайних і довготривалих зусиль не лише в галузі зруйнованої економіки. Першочергова необхідність — повернути достойне життя кожній постраждалій від війни людині, військовій чи цивільній. Від ефективності зусиль у цьому напрямі залежатиме доля кожного з нас і країни та суспільства загалом. Мета. Розробити та обґрунтувати пропозиції щодо системного підходу до надання реабілітаційної допомоги в країні. Результати. Сформульовано й обґрунтовано принципи, на яких доцільно створювати в Україні систему реабілітаційної допомоги, а саме: державності; сучасності; науковості; наступності, етапності та єдиної тактики; регіональності; спеціалізації; самореабілітації. Стисло охарактеризовано кожен принцип, наведено досвід провідних країн світу. Зауважено на ролі держави та суспільства в реабілітаційному процесі. Пропозиції. Розробити стратегію, концепцію та державну програму створення системи реабілітаційної допомоги в Україні. Передбачити будівництво й оснащення регіональних реабілітаційних центрів (РЦ) у межах післявоєнного відновлення держави. Створити всеукраїнський і регіональні реєстри людей, які потребують реабілітаційної допомоги (дітей і дорослих). Під час проєктування та будівництва нових РЦ ураховувати світові принципи щодо кількості стаціонарних ліжок у 200 одиниць. Розміщувати РЦ, зазвичай, за межами великих міст. У медичних навчальних закладах різного ступеня запровадити підготовку спеціалістів із реабілітації. Розгорнути комплекс робіт ізпереобладнання транспортних засобів на ручне управління та навчання користуванню ним. Не допустити ліквідацію УкрНДІпротезування, а функції цього закладу та майновий комплекс передати ДУ «ІПХС ім. проф. М. І. Ситенка НАМН України». Функції організатора та виконавця наукових досліджень передати Національній академії медичних наук України.

Remarkable achievements by deep neural networks stand on the development of excellent stochastic gradient descent methods. Deep-learning-based machine learning algorithms, however, have to find patterns between observations and supervised signals, even though they may include some noise that hides the true relationship between them, more or less especially in the robotics domain. To perform well even with such noise, we expect them to be able to detect outliers and discard them when needed. We, therefore, propose a new stochastic gradient optimization method, whose robustness is directly built in the algorithm, using the robust student-t distribution as its core idea. We integrate our method to some of the latest stochastic gradient algorithms, and in particular, Adam, the popular optimizer, is modified through our method. The resultant algorithm, called t-Adam, along with the other stochastic gradient methods integrated with our core idea is shown to effectively outperform Adam and their original versions in terms of robustness against noise on diverse tasks, ranging from regression and classification to reinforcement learning problems.

In the last decade, the transition of digital terrestrial television (DTT) systems from multi-frequency networks (MFNs) to single-frequency networks (SFNs) has become a reality. SFN offers multiple advantages concerning MFN, such as more efficient management of the radioelectric spectrum, homogenizing the network parameters, and a potential SFN gain. However, the transition process can be cumbersome for operators due to the multiple measurement campaigns and required finetuning of the final SFN system to ensure the desired quality of service. To avoid time-consuming field measurements and reduce the costs associated with the SFN implementation, this paper aims to predict the performance of an SFN system from the legacy MFN and position data through machine learning (ML) algorithms. It is proposed a ML concatenated structure based on classification and regression to predict SFN electric-field strength, modulation error ratio, and gain. The model's training and test process are performed with a dataset from an SFN/MFN trial in Ghent, Belgium. Multiple algorithms have been tuned and compared to extract the data patterns and select the most accurate algorithms. The best performance to predict the SFN electric-field strength is obtained with a coefficient of determination (R-2) of 0.93, modulation error ratio of 0.98, and SFN gain of 0.89 starting from MFN parameters and position data. The proposed method allows classifying the data points according to positive or negative SFN gain with an accuracy of 0.97.

Passive Optical Networks (PON), able to operate at 50 Gbps per wavelength (), are under development and standardization, based on intensity-modulation (IM) and direct-detection (DD) systems. The next step in PON evolution will be driven by 5G/6G fronthauling capacity demands, and will require the development of 100 Gbps/ (and beyond) systems, which poses big challenges if maintaining the DD-format. In this contribution, we analyze a 100 Gbps/ PON architecture able to preserve the IM-DD approach at the Optical Network Unit (ONU), placing the complexity at the Optical Line Terminal (OLT), thanks to Digital Signal Processing (DSP). We experimentally demonstrate a 100 Gbps/ transmission using this architecture in the downstream (DS) direction. Chromatic dispersion digital pre-compensation (CD-DPC) in combination with an IQ Mach-Zehnder Modulator (IQ-MZM) is used at the transmitter (TX). Keeping the ONU DSP as simple as possible, as compared with current DSP proposals for 50 Gbps/ PON, is another main goal of this work. Adaptive equalization (AEQ) is used to correct for linear impairments, in addition to digital non-linear correction (NLC) at the receiver (RX). We compare two NLC approaches: a full Volterra Non-Linear Equalizer (VNLE) and a simpler NLC technique based on a square-root like function (SQRT). Operation over standard single-mode fiber (SMF) in C-band, achieving reaches from 0 km to 100 km and Optical Path Loss (OPL) values higher than 29 dB, are shown. The analyzed proposal is directly applicable to Terabit-capable wavelength division multiplexing (WDM)-PON, and can be extended to very high-speed Time Division Multiplexing (TDM)-PON and TWDM-PON, with some modifications discussed here.

Three-dimensional (3D) sensor networks using multiple light-detection-and-ranging (LIDAR) sensors are good for smart monitoring of spots, such as intersections, with high potential risk of road-traffic accidents. The image sensors must share the strictly limited computation capacity of an edge computer. To have the computation speeds required from real-time applications, the system must have a short computation delay while maintaining the quality of the output, e.g., the accuracy of the object detection. This paper proposes a spatial-importance-based computation scheme that can be implemented on an edge computer of image-sensor networks composed of 3D sensors. The scheme considers regions where objects exist as more likely to be ones of higher spatial importance. It processes point-cloud data from each region according to the spatial importance of that region. By prioritizing regions with high spatial importance, it shortens the computation delay involved in the object detection. A point-cloud dataset obtained by a moving car equipped with a LIDAR unit was used to numerically evaluate the proposed scheme. The results indicate that the scheme shortens the delay in object detection.

Scene text detection has attracted increasing concerns with the rapid development of deep neural networks in recent years. However, existing scene text detectors may overfit on the public datasets due to the limited training data, or generate inaccurate localization for arbitrary-shape scene texts. This paper presents an arbitrary-shape scene text detection method that can achieve better generalization ability and more accurate localization. We first propose a Scale-Aware Data Augmentation (SADA) technique to increase the diversity of training samples. SADA considers the scale variations and local visual variations of scene texts, which can effectively relieve the dilemma of limited training data. At the same time, SADA can enrich the training minibatch, which contributes to accelerating the training process. Furthermore, a Shape Similarity Constraint (SSC) technique is exploited to model the global shape structure of arbitrary-shape scene texts and backgrounds from the perspective of the loss function. SSC encourages the segmentation of text or non-text in the candidate boxes to be similar to the corresponding ground truth, which is helpful to localize more accurate boundaries for arbitrary-shape scene texts. Extensive experiments have demonstrated the effectiveness of the proposed techniques, and state-of-the-art performances are achieved over public arbitrary-shape scene text benchmarks (e.g., CTW1500, Total-Text, and ArT).

This paper presents an integrated network architecture combining a cell-free massive multiple-input multiple-output (CF-M-MIMO) terrestrial layout with a low Earth orbit satellite segment where the scalability of the terrestrial segment is taken into account. The main purpose of such an integrated scheme is to transfer to the satellite segment those users that somehow limit the performance of the terrestrial network. Towards this end, a correspondingly scalable technique is proposed to govern the ground-to-satellite user diversion that can be tuned to different performance metrics. In particular, in this work the proposed technique is configured to result in an heuristic that improves the minimum per-user rate and the sum-rate of the overall network. Simulation results serve to identify under which conditions the satellite segment can become an attractive solution to enhance users’ performance. Generally speaking, although the availability of the satellite segment always leads to an improvement of users’ rates, it is in those cases where the terrestrial CF-M-MIMO network exhibits low densification traits that the satellite backup becomes crucial. This work was supported in part by the Agencia Estatal de Investigación, Ministerio de Ciencia e Innovación (MCIN/AEI/10.13039/501100011033) through the R+D+i Project under Grant PID2020-115323RB-C32 and Grant PID2020-115323RB-C31; and in part by the Centre Tecnológic de Telecomunicacions de Catalunya Researchers through the Grant from the Spanish Ministry of Economic Affairs and Digital Transformation and the European Union-NextGenerationEU under Grant UNICO-5G I+D/AROMA3D-Hybrid TSI-063000-2021-71.

With the continuous improvement of China’s market economy and the intensification of global integration trends, the relationship between the supply and demand of China’s agricultural products has also undergone significant changes. From the previous short supply to the current oversupply, the sales of agricultural products have become a key factor restricting the development of the Chinese rural economy. Solving the problem of agricultural sales has become the internal driving force to promote the steady development of family farms, which is also the fundamental purpose of this paper. Therefore, this paper makes an empirical analysis of the factors influencing the choice of agricultural products’ sales channels among 170 family farms in Henan Province using a logistic regression model. The results show that selling agricultural products from family farms to consumers, enterprises, and large sales households are the main sales channels, accounting for 17.3%, 15.3%, and 15.2% respectively. The proportion of Internet sales ranks seventh among the eight channels, which has not been widely recognized. The regression results and assumptions are verified. The brand and certification of family farms’ agricultural products, business form of a farm, and understanding of the Internet have a significant impact on the choice of sales channels. According to the weight of influencing factors, the paper puts forward four suggestions for the selection and innovation in sales channels of family farms’ agricultural products. AcknowledgmentThis study is funded by The National Social Science Fund of China (grant no: 19BJ1Y144).

Дипломний проєкт другого (магістерського) рівня вищої освіти на тему «Підвищення ефективності та екологічної чистоти роботи біогазової когенераційної установки»: пояснювальна записка на 116 с., 33 рис., 2 табл., Проведено загальні розрахунки біогазової установки за реальними показниками її завантаження та порівняні їх із даними, що зазначені в документації біогазової станції. Користуючись нормативними матеріалами, паспортними даними та проектною документацією наданою підприємством «Ecodevelop», проведено розрахунки технологічних характеристик метантенку для різних типів сировини, що зброжується в біогазовій установці. Виконано порівняння цих характеристик. Розроблені та запропоновані пропозиції з метою підвищення ефективності установки та удосконалення виробництва біогазу. До проекту додаються креслення на яких наведено розміщення будівельних споруд та монтажно-технологічна схема. Diploma project of the second (master's) level of higher education on the topic "Increasing the efficiency and ecological cleanliness of the operation of the biogas cogeneration plant installations": explanatory note on 116 pages, 33 figures, 2 tables, General calculations of the biogas plant were carried out according to its real indicators loading and compared them with the data specified in the biogas documentation stations Using normative materials, passport data and design according to the documentation provided by the company "Ecodevelop", calculations were made technological characteristics of the methane tank for different types of raw materials fermented in biogas plant. A comparison of these characteristics was made. Proposals to increase efficiency were developed and proposed installation and improvement of biogas production. Drawings are attached to the project, showing the location of construction sites structures and installation and technological scheme.

The thesis entitled Selected Musical Activities Usable in the School Clubs deals with the school club as a place for leisure and musical activities that can be used here. In the introductory chapters of this theoretical thesis describes the basic characteristics of the target group, school club as a place for spending leisure time and at the same time as a facility for leisure education and music activities. In the next part of the thesis, I describe my own proposal for music activities school clubs, which can serve as an inspiration for teachers and other educators.

in this article we describe in cooperative learning, students work together in small groups on a structured activity. They are individually accountable for their work, and the work of the group as a whole is also assessed. Cooperative groups work face-to-face and learn to work as a team.

Restricted equivalence functions are well-known functions to compare two numbers in the interval between 0 and 1. Despite the numerous works studying the properties of restricted equivalence functions and their multiple applications as support for different similarity measures, an extension of these functions to an n-dimensional space is absent from the literature. In this paper, we present a novel contribution to the restricted equivalence function theory, allowing to compare multivalued elements. Specifically, we extend the notion of restricted equivalence functions from L to L n and present a new similarity construction on L n . Our proposal is tested in the context of color image anisotropic diffusion as an example of one of its many applications. The authors gratefully acknowledge the financial support of the grant PID2019-108392GB-I00 funded by MCIN/AEI/10.13039/50110001103, as well as grant VEGA 1/0545/20. Also, the financial support of Consellería d’Innovacio, Universitats, Ciencia i Societat Digital from Comunitat Valenciana (APOSTD/2021/227) and the European Social Fund (Investing In Your Future) and to Tracasa Instrumental and the Immigration Policy and Justice Department of the Government of Navarre.

Researchers studying the evolution of viral pathogens and other organisms increasingly encounter and use large and complex data sets from multiple different sources. Statistical research in Bayesian phylogenetics has risen to this challenge. Researchers use phylogenetics not only to reconstruct the evolutionary history of a group of organisms, but also to understand the processes that guide its evolution and spread through space and time. To this end, it is now the norm to integrate numerous sources of data. For example, epidemiologists studying the spread of a virus through a region incorporate data including genetic sequences (e.g., DNA), time, location (both continuous and discrete), and environmental covariates (e.g., social connectivity between regions) into a coherent statistical model. Evolutionary biologists routinely do the same with genetic sequences, location, time, fossil and modern phenotypes, and ecological covariates. These complex, hierarchical models readily accommodate both discrete and continuous data and have enormous combined discrete/continuous parameter spaces including, at a minimum, phylogenetic tree topologies and branch lengths. The increasedsize and complexity of these statistical models have spurred advances in computational methods to make them tractable. We discuss both the modeling and computational advances, as well as unsolved problems and areas of active research.

Robot navigation in unstructured human environ- ments remains challenging when crowd density limits visibility and scene understanding like in malls, markets and airports. In this abstract, we present a new dataset of pedestrian interactions with a service robot with egocentric sensor data from RGBD, 3D LIDAR, force sensinsg, and robot state. Moreover, we aim to highly the need to consider real-life navigation data in order to define proper benchmarking tools for autonomous navigation control and how to realize them from the robot’s perspective. We provide over 110 trials with 266k frames in different crowd types and provide methods and code for comparing controllers within this navigation task., 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), ISBN:978-1-6654-7927-1

2022 32nd International Telecommunication Networks and Applications Conference (ITNAC). 30 November 2022 - 02 December 2022. Wellington, New Zealand.

Introduction: Considering the ever-increasing developments in medical research, especially the use of human subjects in research projects, the implementation of such research according to the ethical principles and criteria of creditable national and international declarations is of great significance. The present study aimed to investigate the rate of observance of research ethics in proposals approved at Ilam University of Medical Sciences, Ilam, Iran, from 2010 to 2016. Materials & Methods: This descriptive-retrospective study evaluated 489 research proposals that had been approved between 2010 and 2016. Following that, the required information was extracted using six checklists prepared using the standard questionnaires of the Ethics Review Committee in World Health Organization (WHO/ERC) and other related studies. The obtained data were analyzed in SPSS software. Findings: According to the results, 402 (82.2%) proposals observed the ethical consideration section. However, only 20 (4%) proposals were referred to the Research Ethics Committee and approved by the Research Ethics Committee. Furthermore, in 163 (57.8%) proposals, the subjects were informed of their participation in the study, and in 177 (36.2%) proposals, informed consent was included. In the proposals with human subjects, the confidentiality of the subjects' information in the research was predicted in 257 (52.6%) proposals. Discussions & Conclusions: The ultimate goal of national/regional Research Ethics Committees is the improvement of the current situation and getting closer to the related standards, which totally showed a progressive trend. Holding educational workshops for honorable members of scientific boards as well as students, and careful supervision of ethics committees, especially in clinical trials and animal studies, is presented as a proposed optimization strategy to improve the ethical environment.

Floods are the natural hazard that have the greatest economic impact and cause the most deaths in the Mediterranean region. The objective of this study is to present different proposals for teach the risk of flooding using the GIS viewers offered by the NFZMS (National Flood Zone Mapping System) and the PATRICOVA (Spain). The idea is that, based on the selection of the same area of study (the mouth of the Júcar River—Valencia—and the mouth of the Segura River—Alicante), students determine the similarities and differences, for educational purposes, of these two geographical viewers. These proposals are aimed at the 2nd year of the Baccalaureate (17–18 years; optional subject of Geography). The objective is to enhance the skills of the students for understand the territory, especially their immediate environment, in the learning process. Furthermore, it also seeks to expand the knowledge of students with regard to these extreme phenomena experienced by society. This proposal shows that these types of tools are important for students to understand the social and territorial part of flooding events (vulnerability and exposure), which is the most salient part in terms of finding solutions to minimise their effects.

In the age of deep learning, researchers have looked at domain adaptation under the pre-training and fine-tuning paradigm to leverage the gains in the natural image domain. These backbones and subsequent networks are designed for object detection in the natural image domain. They do not consider some of the critical characteristics of document images. Document images are sparse in contextual information, and the graphical page objects are logically clustered. This paper investigates the effectiveness of deep and robust backbones in the document image domain. Further, it explores the idea of learnable object proposals through Sparse R-CNN. This paper shows that simple domain adaptation of top-performing object detectors to the document image domain does not lead to better results. Furthermore, empirically showing that detectors based on dense object priors like Faster R-CNN, Mask R-CNN, and Cascade Mask R-CNN are perhaps not best suited for graphical page object detection. Detectors that reduce the number of object candidates while making them learnable are a step towards a better approach. We formulate and evaluate the Sparse R-CNN (SR-CNN) model on the IIIT-AR-13k, PubLayNet, and DocBank datasets and hope to inspire a rethinking of object proposals in the domain of graphical page object detection.

OpenMP has become a reference standard for the design of parallel applications. This standard is evolving very fast, thus offering ever new opportunities to the application programmers. However, OpenMP runtime environments are often not fully aligned to the actual requirements imposed by the evolution of such standard. Among the main lacks, we find: (a) a limited capability to effectively cope with task priorities, and (b) the inadequacy in guaranteeing core properties while processing tasks such as the so called extit{work-conservativeness}---the ability of the OpenMP runtime environment to fully exploit the underlying multi-processor/multi-core machine through the avoidance of thread-blocking phases. In this article we present the design of extensions to the GNU OpenMP ({ t GOMP}) implementation, integrated into { t gcc}, which allow the effective management of tasks and their priorities. Our proposal is based on a user-space library---modularly combined with the one already offered by { t GOMP}---and an external kernel-level Linux module---offering the opportunity to exploit raising hardware facilities for the purpose of task/priority management. We also provide experimental results showing the effectiveness of our proposal, achieved by running either OpenMP common benchmarks or a new benchmark application (named {sc Hashtag-Text}) that we explicitly devised in order to stress the OpenMP runtime environment in relation to the above-mentioned task/priority management aspects.

The project that gave rise to these results received the support of a fellowship from “la Caixa” Foundation (ID 100010434). The fellowship code is LCF/BQ/DI20/11780027. NF would like to thank Neal Haddaway (co-author of the ROSES methodology), Rui Ferreira dos Santos (supervision), and all book authors for sharing copies of their work for this research. Publisher Copyright: © 2022 The Authors Degrowth – the planned and democratic reduction of production and consumption as a solution to the social-ecological crises – is slowly making its way to the sphere of policy-making. But there is a problem: proposals are scattered through a voluminous literature, making it difficult for decision-makers to pinpoint the concrete changes associated with the idea of degrowth. To address this issue, we conducted a systematic mapping of the degrowth literature from 2005 to 2020 using the RepOrting standards for Systematic Evidence Syntheses (ROSES) methodology. Out of a total of 1166 texts (articles, books, book chapters, and student theses) referring to degrowth, we identified 446 that include specific policy proposals. This systematic counting of policies led to a grand total of 530 proposals (50 goals, 100 objectives, 380 instruments), which makes it the most exhaustive degrowth policy agenda ever presented. To render this toolbox more accessible, we divided it into in 13 policy themes – food, culture and education, energy and environment, governance and geopolitics, indicators, inequality, finance, production and consumption, science and technology, tourism, trade, urban planning, and work – systematically making the difference between goals, objectives, and instruments. Following this, we assess the precision, frequency, quality, and diversity of this agenda, reflecting on how the degrowth policy toolbox has been evolving until today. publishersversion published

Every fiscal year, DLA Energy procures global military jet fuel and marine diesel fuel requirements through four major purchase programs: Inland East Gulf Coast; Rocky Mountain West; Atlantic, Europe and Mediterranean; and Western Pacific. DLA Energy’s Bulk Petroleum Products Division oversees these procurements and delivers contracting support for all bulk petroleum requirements. Offerors develop proposals and submit proposals, and when proposals are evaluated, some are determined technically unacceptable based on the evaluation factors. When offerors’ proposals are deemed technically unacceptable, that reduces the level of competition for that procurement and competition is reduced, resulting in a greater challenge for DLA Energy to award contracts based on fair and reasonable prices. The more proposals that are deemed technically acceptable, the greater the competition in the procurement, which results in DLA Energy being better able to support its mission. The purpose of this research is to provide an analysis of the reasons why offerors’ proposals are deemed technically unacceptable during proposal evaluation of the contract source selection. Based on the analysis, this research provides recommendations for how DLA Energy could improve its procurement of bulk petroleum. This also helps inform the industry by making recommendations of how to improve their proposals so that they can be technically acceptable. Outstanding Thesis Civilian, Defense Logistics Agency Energy Approved for public release. Distribution is unlimited.

This brief report aims not only to understand current situation of international academic partnership at Muroran Institute of Technology (MuroranIT), but also offer some proposals for further development of academic cooperation and exchange with overseas universities and institutes. This report consists of four sections, and its main points are presented in Section 2 and 3. In Section 2, the current status of MuroranIT’s partnership covering its subject, content, type, continent & region, language & culture area, language, term of validity and assessment will be specified. In Section 3, to further develop international academic partnership of MuroranIT, the author makes some proposals in university procedures, strategies, necessity of partnership extensions, acceptance of more international students, grasp of academic cooperation by faculty member and researchers, online international cooperation and reexamination of partnership draft and adoption of legal review process., 特集

En el presente documento se realiza una descripción y presentación de las actividades desarrolladas en la pasantía con la empresa ALNASAN S.A.S; en la cual se realizaron funciones de ingeniera auxiliar; en el de control de costos y presupuestos de distintas licitaciones para el sector privado, cortes de obra de cuatro proyectos que se estaban ejecutando y demás actividades, de las que se tienen registro fotográfico, memorias de cálculo y anexos donde se presentan planos y cartas de presentación de cada una de las licitaciones elaboradas. Se presentan los aportes que se dieron y que se recogieron durante el tiempo de la pasantía, también se habla de los aportes que se hacen a la comunidad de los cuales para este caso se generan de forma indirecta, ya que las actividades que ejecuta la empresa como tal son actividades en donde se mejoran las condiciones del suelo donde se tendrán distintas estructuras. This document provides a description and presentation of the activities developed in the internship with the company ALNASAN S.A.S; in which auxiliary engineer functions were performed; in the control of costs and budgets of different tenders for the private sector, construction work of four projects that were being executed and other activities, of which there are photographic records, calculation reports and annexes where plans and letters of approval are presented of the each elaborated tenders. The contributions that were given and that were collected during the internship time are presented, also the contributions that are made to the community, of which in this case they are generated indirectly, because the executed activities by the company are activities where soil conditions are improved to the diferent structures will be built. Pregrado

This letter incorporates the adaptive kernel Kalman filter (AKKF) into the belief propagation (BP) algorithm for Multi-target tracking (MTT) in single-sensor systems. The algorithm is capable of tracking an unknown and time-varying number of targets, in the presence of false alarms, clutter and measurement-to-target association uncertainty. Experiment results reveal that the proposed method has a favourable tracking performance using the generalized optimal sub-patten assignment (GOSAP) metrics at substantially less computation cost than the particle filter (PF) based Multi-target tracking (MTT) BP algorithm.

The writings submitted here are an excerpt from a research of my Post-Doctorate Stage in the Graduate Program in Education at the Federal University of Santa Catarina (PPGE/UFSC), Line of Research: Education and Communication. The main aim is to make educational proposals to broach intercultural issues from a narrative of residents in the Brazilian cities of Boa Vista-RR and Florianópolis-SC. The proposition planning starts from an embroidery by creating artistic objects which symbols are carried to depict local knowledge, setting off my own memories from living experience in these two places. These objects meet the residents from both cities with the aim of triggering intercultural dialogues based on listening to the resident narratives. In order to weave these dialogue threads, the idea brought by Hélio Oiticica in his Environmental Program is taken as a methodological principle. On occasion, I will share reflections based on an educational proposal named 'Delicacies and Resis(Exi)tance', held in Boa Vista-RR at the Jaider Esbell Contemporary Indigenous Art Gallery. Taking school/university into other places and making other places school/university is an incitement left by educational propositions that I have been thinking about. 'Delicacies and Resis(Exi)tance in the Land of Macunaima' was a little bit of that, a learning space rich in possibilities, giving rise to the structure of intercultural dialogues. Los escritos presentados aquí son un extracto de la investigación de pasantías posdoctorales que desarrollo en el Programa de Posgrado en Educación de la Universidad Federal de Santa Catarina (PPGE / UFSC) en la línea de Educación y Comunicación. Su propuesta es crear propuestas educativas que aborden cuestiones interculturales a partir de la narrativa de los residentes de las ciudades de Boa Vista - RR y Florianópolis - SC. La construcción de estas proposiciones comienza a través del bordado con la creación de objetos artísticos cargados con símbolos que representan el conocimiento local, provocados por mis recuerdos de la experiencia vivida en estos dos lugares. Estos objetos se encuentran con los residentes de ambas ciudades con la intención de provocar diálogos interculturales basados ​​en escuchar las narraciones de sus residentes. Para tejer los hilos de este diálogo, la idea del escenario que trajo Hélio Oiticica en su Programa Ambiental se toma como un principio metodológico. En esta oportunidad compartiré reflexiones basadas en la propuesta educativa titulada 'Delicadezas e Re-existencia', celebrada en Boa Vista-RR en la Galería de Arte Indígena Contemporáneo Jaider Esbell. Llevar la escuela / universidad a otros lugares y hacer que otros lugares sean escuela / universidad es la provocación que dejan las propuestas educativas en las que he estado pensando. 'Delicias y Re-existencia en la Tierra de Makunaima' fue un poco de eso, un espacio de aprendizaje rico en posibilidades, que provocó la construcción de diálogos interculturales. Os escritos aqui apresentados são um recorte da pesquisa de Estágio Pós-Doutoral que desenvolvo no Programa de Pós-Graduação em Educação da Universidade Federal de Santa Catarina (PPGE/UFSC) na linha Educação e Comunicação. Tem como proposta criar proposições educativas que abordem as questões interculturais a partir da narrativa dos moradores das cidades de Boa Vista - RR e Florianópolis - SC. A construção destas proposições inicia por meio do bordado com a criação de objetos artísticos carregados de simbologias representativas dos saberes locais, disparados por minhas memórias a partir da experiência vivida nesses dois lugares. Esses objetos vão ao encontro dos moradores de ambas as cidades com a intenção de provocar diálogos interculturais a partir da escuta das narrativas de seus moradores. Para tecer os fios desse diálogo toma-se como princípio metodológico a ideia de ambientação trazida por Hélio Oiticica em seu Programa Ambiental. Nesta oportunidade compartilharei reflexões a partir da proposição educativa intitulada 'Delicadezas e Re-existência', realizada em Boa Vista-RR na Galeria de Arte Indígena Contemporânea Jaider Esbell. Levar a escola/universidade para dentro de outros lugares e fazer de outros lugares escola/universidade é a provocação deixada pelas proposições educativas que venho pensando. 'Delicadezas e Re-existência na Terra de Makunaima' foi um pouco disso, um espaço de aprendizagem rico de possibilidades, provocador da construção de diálogos interculturais.

The labeling process within a supervised learning task is usually carried out by an expert, which provides the ground truth (gold standard) for each sample. However, in many real-world applications, we typically have access to annotations provided by crowds holding different and unknown expertise levels. Learning from crowds (LFC) intends to configure machine learning paradigms in the presence of multilabelers, residing on two key assumptions: the labeler's performance does not depend on the input space, and independence among the annotators is imposed. Here, we propose the correlated chained Gaussian processes from the multiple annotators (CCGPMA) approach, which models each annotator's performance as a function of the input space and exploits the correlations among experts. Experimental results associated with classification and regression tasks show that our CCGPMA performs better modeling of the labelers' behavior, indicating that it consistently outperforms other state-of-the-art LFC approaches.

In this paper, a two-stage method is proposed for predicting the catch of skipjack tuna (Katsuwonus pelamis) from a 2D sea environmental pattern. Following the assumption that sea water temperature and sea surface height (SSH) which fishermen often use for finding fishing spots has a correlation with the skipjack tuna catch, a new approach of using Faster R-CNN in object detection is proposed. The proposed method consists of two part. In the first part, taking a sea temperature map as input, Faster R-CNN extracts the candidates of where skipjack tuna would be on the map in order to imitate the behaviors of fishers. In the second part, Support Vector Regression (SVR) estimates the catch amount in each candidate. Fater R-CNN is applied to several sea environmental patterns with three different loss functions and compares each performance. The proposed model is evaluated by comparing the result with average fishers’ ability on the skipjack tuna catches and several criteria for evaluating the proposed model. The results show that the proposed method is able to outperform the average fishers’ ability by an average of 3%.

Gamification is a potential approach to foster motivation and engagement in different contexts which popularity in recent years has encouraged its application in a diversity of domains, including health, education, business, society, or tourism. However, although all their promising benefits and rapidly developing, the gamification community should face a variety of theoretical, empirical, and technological challenges. Focusing on technological challenges, we can observe a need that claims for suitable gamification software tools that offer system-independence and flexibility, support the gamification design, implementation, and monitoring activities, and experiment with more game elements than only points, badges, and leaderboards. For that reason, this paper deals with the identified technological challenges by introducing a gamification software tool to cover the main lacks found. An analysis of the advances in gamification domain and their recent literature was conducted to identify the strengths and weaknesses of the most popular gamification software tools in order to design and develop a flexible system-independent gamification software solution that goes beyond the implementation of the classic game elements. As a result, we created GoRace, a multi-context and narrative-based gamification suite that supports the entire gamification process, provides flexible and system-independent gamification solutions, and allows the creation of tailored and reusable gamification solutions that go beyond the classic game elements to immerse participants in a fun, engaging, and challenging narrative-based gamification experience.

The Open Dialogue approach promotes collaboration with clients and families in decisions about the direction of therapy. This creates potential problems for Open Dialogue therapists who seek collaboration but also have responsibility for managing the session. Using conversation analysis, we examined 14 hours of video recordings of Open Dialogue sessions, and specifically how therapists proposed the transition to a reflecting conversation. We found that, when making proposals to reflect, therapists routinely downgrade their deontic authority (i.e., adopt a less powerful, more collaborative position). They did this through framing proposals as interrogatives, providing accounts, and by prefacing their proposals with "I'm wondering". More heavily downgraded proposals made acceptance less salient, potentially risking transition to the reflection. These findings provide more detail on how theoretical concepts such as "collaboration" and "power" are actually displayed and negotiated in practice and can contribute to a more nuanced understanding of what constitutes Open Dialogue.El método de diálogo abierto promueve la colaboración con los pacientes y las familias en las decisiones acerca del rumbo de la terapia. Esto genera posibles problemas para los terapeutas que implementan el diálogo abierto y que buscan colaboración, pero que también tienen la responsabilidad de manejar la sesión. Utilizando el análisis de la conversación, analizamos 14 horas de videograbaciones de sesiones de diálogo abierto y, específicamente, cómo los terapeutas propusieron la transición a una conversación reflexiva. Descubrimos que, cuando los terapeutas hacen una propuesta de reflexionar, habitualmente rebajan su autoridad deóntica (p. ej.: adoptan una postura menos poderosa y más colaborativa). Para esto, los terapeutas plantearon las propuestas como interrogaciones, ofrecieron explicaciones e introdujeron sus propuestas con la frase: “Me pregunto”. Las propuestas más rebajadas hicieron que la aceptación se destacara menos, arriesgando potencialmente la transición a la reflexión. Estos hallazgos ofrecen mas detalles sobre cómo los conceptos teóricos, como la “colaboración” y el “poder”, en realidad se muestran y se negocian en la práctica, y pueden contribuir a una comprensión más matizada de lo que constituye el diálogo abierto.开放性对话的方法促进了在与病人和家庭在有关治疗方向上做出决策时的合作。开放对话治疗师寻求合作但又有责任管理会话，此方法给这一类治疗师带来了潜在的问题。使用会话分析，我们调查了14个小时的公开对话的视频记录，特别是治疗师是如何建议过渡到反思对话的。我们发现，在提出反思建议时，治疗师通常会降低他们的行为权威(即采取一种不那么强势、更具协作性的立场)。这样做的方式是将建议框定为质问句，提供解释，并以 "我在想 "作为建议的前言。更加严重的降级建议使接受不那么突出，可能会有过渡到反思的风险。这些发现提供了更多关于 "协作 "和 "权力 "等理论概念如何在实践中实际呈现和协商的细节，并有助于更细致地理解什么是 "开放式对话"。.

Several advanced cyber attacks adopt the technique of "pivoting" through which attackers create a command propagation tunnel through two or more hosts in order to reach their final target. Identifying such malicious activities is one of the most tough research problems because of several challenges: command propagation is a rare event that cannot be detected through signatures, the huge amount of internal communications facilitates attackers evasion, timely pivoting discovery is computationally demanding. This paper describes the first pivoting detection algorithm that is based on network flows analyses, does not rely on any a-priori assumption on protocols and hosts, and leverages an original problem formalization in terms of temporal graph analytics. We also introduce a prioritization algorithm that ranks the detected paths on the basis of a threat score thus letting security analysts investigate just the most suspicious pivoting tunnels. Feasibility and effectiveness of our proposal are assessed through a broad set of experiments that demonstrate its higher accuracy and performance against related algorithms.

Resumen Desde los aportes conceptuales y metodológicos de los enfoques de: Acción Sin Daño, transformación de conflictos, educación popular, interculturalidad y desde el territorio, se reconoce la participación como elemento imprescindible para construir paz. El presente artículo expone cómo en el Catatumbo las comunidades han construido diversas maneras para hacerle frente al abandono estatal y a la violencia sistemática que allí se vive. Particularmente, reconstruye la experiencia de construcción de una agenda intercultural de paz del Catatumbo, que, orientada desde estos cinco enfoques, refleja la importancia de la participación en la construcción y consolidación de la paz en esta región. Abstract From the conceptual and methodological contributions of the approaches of: Do no Harm, conflict transformation, popular education, interculturality, and from the territory, participation is recognized as an essential element to build peace. In Catatumbo, communities have historically built different ways to face state abandonment and the systematic violence that exists there. The construction of the Catatumbo Intercultural Peace Agenda illustrates a concrete experience that, guided by these five approaches, reflects the importance of participation in the construction and consolidation of peace in this region. Resumo Com base nas contribuições conceituais e metodológicas das abordagens de: Ação Sem Dano, transformação de conflitos, educação popular, interculturalidade e do território, a participação é reconhecida como elemento fundamental para a construção da paz. Este artigo explica como no Catatumbo as comunidades construíram diferentes maneiras de lidar com o abandono do Estado e a violência sistemática que existe lá. Em particular, este artigo reconstrói a experiência de construção de uma agenda intercultural de paz de Catatumbo que, norteada desde cinco abordagens, reflete a importância da participação na construção e consolidação da paz nessa região.

Proceedings of: 2022 IEEE Wireless Communications and Networking Conference (WCNC), 10-13 April 2022, Austin, USA. Reconfigurable Intelligent Surfaces (RISs) are an emerging technology in the evolution towards the Sixth Generation (6G) of mobile communications. They are capable of enhancing the overall system performance and extending the coverage of the existing cells. They are built by a large amount of low-cost meta-elements that can be configured by tuning their phase shifts, and hence, the channel response can be constructively combined and forwarded to some specific direction. Many algorithms have been proposed to obtain the optimum phase shifts, generally assuming a single-carrier system and/or a medium-size RIS to constrain the complexity of the optimization process. In this work, we propose a flexible and scalable unsupervised learning model, capable of obtaining the best phase shifts for any scenario. Our proposal is able to handle multi-carrier waveforms and very large-size RIS, considering both continuous and discrete phase shifts. Besides, we also propose the use of clustering to reduce further the complexity while maintaining the performance. A comparison in terms of achievable rate and time execution is provided in order to show the superiority of our proposal against the existing solutions. This work has been funded by the Spanish National projects IRENE-EARTH (PID2020-115323RB-C33 / AEI/ 10.13039/501100011033) and AMATISTA (CDTI IDI20200861).

Using both statistical methods and conversation analysis, we examined how support workers in a mental health rehabilitation community encourage clients to participate in joint decision-making processes. Drawing on video-recordings of 29 community meetings as data, we considered support workers’ proposals (N = 449) and clients’ responsiveness to them. Support workers’ proposals were coded for their linguistic and other features and clients’ responsiveness was assessed by three independent raters. Multiple linear regression (MLR) analysis was carried out. A significant regression equation with seven predictor variables accounted for 24% of the variance in the data. Four variables predicted a higher level of client responsiveness: the use of explicit recipient address term, “quasi open” proposal form, support worker’s long work experience, and the average level of client participation during a session. Three variables predicted a lower level of client responsiveness: grammatical complexity of proposal form, modal declarative proposal form, and the presence of only one support worker in a session. The qualitative conversation-analytic investigation highlighted the advantages of the careful fine-tuning of openness vs. closedness of proposal form, the reflexive awareness of which, we argue, may help mental health professionals to encourage clients’ responsiveness in joint decision-making processes and thereby their participation in communal life. Using both statistical methods and conversation analysis, we examined how support workers in a mental health rehabilitation community encourage clients to participate in joint decision-making processes. Drawing on video-recordings of 29 community meetings as data, we considered support workers’ proposals (N = 449) and clients’ responsiveness to them. Support workers’ proposals were coded for their linguistic and other features and clients’ responsiveness was assessed by three independent raters. Multiple linear regression (MLR) analysis was carried out. A significant regression equation with seven predictor variables accounted for 24% of the variance in the data. Four variables predicted a higher level of client responsiveness: the use of explicit recipient address term, “quasi-open” proposal form, support worker’s long work experience, and the average level of client participation during a session. Three variables predicted a lower level of client responsiveness: grammatical complexity of proposal form, modal declarative proposal form, and the presence of only one support worker in a session. The qualitative conversation-analytic investigation highlighted the advantages of the careful fine-tuning of openness vs. closedness of proposal form, the reflexive awareness of which, we argue, may help mental health professionals to encourage clients’ responsiveness in joint decision-making processes and thereby their participation in communal life.

In this paper, we design an Anomaly Detection (AD) framework for mobile data traffic, capable of identifying different types of anomalous events generated by flash crowds in metropolitan areas. We state the problem using a semi-supervised approach and exploit the great performance of different Recurrent Neural Network (RNN) models to learn the temporal context of input sequences. Our proposal processes real traffic traces from the unencrypted LTE Physical Downlink Control Channel (PDCCH) of an operative network, gathered during an extensive measurement campaign in two major cities in Spain. The AD framework is designed to perform: i) a-posteriori analysis to understand users' behavior and urban environment variations; ii) real-time analysis to automatically and on-the-fly alert urban anomalies; and iii) estimation of the duration of the periods identified as anomalous. Numerical results show the higher performance of our AD framework compared to classic AD algorithms and confirm that the proposed framework predicts anomalous behaviours with high accuracy and regardless of their cause. © 1967-2012 IEEE.

Digital marketplaces were created recently to accelerate the delivery of applications and services to customers. Their appealing feature is to activate and dynamize the demand, supply, and development of digital goods, applications, or services. By being an intermediary between producer and consumer, the primary business model for a marketplace is to charge the producer with a commission on the amount paid by the consumer. However, most of the time, the commission is dictated by the marketplace facilitator itself and creates an imbalance in value distribution, where producer and consumer sides suffer monetarily. In order to eliminate the need for a centralized entity between the producer and consumer, a blockchain-based decentralized digital marketplace concept was introduced. It provides marketplace actors with the tools to perform business transactions in a trusted manner and without the need for an intermediary. In this work, we provide a survey on Telecommunication Services Marketplaces (TSMs) which employ blockchain technology as the main trust enabling entity in order to avoid any intermediaries. We provide an overview of scientific and industrial proposals on the blockchain-based online digital marketplaces at large, and TSMs in particular. We consider in this study the notion of telecommunication services as any service enabling the capability for information transfer and, increasingly, information processing provided to a group of users by a telecommunications system. We discuss the main standardization activities around the concepts of TSMs and provide particular use-cases for the TSM business transactions such as SLA settlement. Also, we provide insights into the main foundational services provided by the TSM, as well as a survey of the scientific and industrial proposals for such services. Finally, a prospect for future developments is given. Author open access

Recently a new three-group clinical classification was reported by an International Consortium to stratify CMML patients with regard to prognosis. The groups were defined as follows: (1) Myelodysplastic (MD)-CMML: WBC ≤ 10 × 109/l, circulating immature myeloid cells (IMC) = 0, no splenomegaly; (2) MD/MP (overlap)–CMML: WBC 10–20 × 109/l or WBC ≤ 10 × 109/l but IMC > 0 and/or splenomegaly; (3) Myeloproliferative (MP)-CMML: WBC > 20 × 109/l. By analysing EBMT Registry patients who underwent allo-HCT for CMML between 1997 and 2016, we aimed to determine the impact of this classification on transplantation outcome and to make a comparison with the conventional WHO classification (CMML-0/CMML-1/CMML-2). Patient grouping was based on the data registered at time of transplantation, with IMC replaced by peripheral blasts. Among 151 patients included in the analysis, 38% were classified as MD-CMML, 42% as MD/MP-CMML and 20% as MP-CMML. With a median survival of 17 months in the whole series, MD-CMML patients were distinguished as a low-risk group with higher CR rate at transplant and a longer post-transplant 2-year progression-free survival in comparison to others (44.5% vs 33.5%, respectively), whereas the WHO classification was superior in identifying high-risk patients (CMML-2) with inferior survival outcomes.

Contribution: This article identifies the participation of external stakeholders as a key contributing factor for positive outcomes in project-based software engineering courses. A model for overlapping virtuous circles of lasting positive impact on both stakeholders and students from such courses is proposed. Background: Project-based courses are widespread in software engineering education, and there are numerous designs for such courses presented in literature. It is found that the needs and motivations of external stakeholders, from industry and government sectors, in these courses has received limited attention in related work. Intended Outcomes: A course design that prepares students for graduate level studies and professional life, through close proximity to external stakeholders in a highly realistic setting, working on "live" projects. Application Design: Building on a long tradition of university-industry collaboration dating back to 1977, as well as findings in related work, students are assigned to live projects proposed by external stakeholders from industry and government, working in close proximity with their respective stakeholders throughout the project. The course places great emphasis on coaching over instruction, treating the many unforeseen challenges of such projects as a valuable part of the learning experience. Findings: Based on interviews with stakeholders and students, it is found that stakeholder and student outcomes are interdependent and build upon one another, and that positive outcomes for both groups are necessary for the sustainability of the course over multiple iterations.

Labour trafficking and exploitation remain an understudied criminal reality in academia, particularly those aspects most linked to a victim-centric approach to it, such as victim assistance. To identify the challenges faced by victim service providers when dealing with these victims, a qualitative study was undertaken in Spain consisting of 34 indepth interviews with professionals who had provided assistance in these cases. Based on the premise that victim assistance is a continuum, shortcomings are identified in three main areas and proposals are made to overcome them. The first one is victim detection and identification, hindered by some professionals’ biases, lack of training, and the rigidity and non-systematic nature of the identification system. The second one is the intervention programme, which is not specific to these victims and lacks economic and residential resources and a referral circuit. The th This work was supported by the Spanish Ministry of Science, Innovation and Universities [grant number RTI2018-094686-B-C21]

BackgroundThe optimal number of concurrent chemotherapy cycles during thoracic radiotherapy (RT) in patients with limited stage-small cell lung cancer (LS-SCLC) is not well defined. The purpose of this study was to evaluate the impact of the number of concurrent chemotherapy cycles on prognosis of LS-SCLC.Material and MethodsPatients with LS-SCLC treated with concurrent chemo-radiotherapy from May 2008 to December 2020 in our hospital were retrospectively analyzed. The prescribed radiation dose was 60Gy administrated with conventional RT in 30 fractions within 6 weeks. The prognostic role of cycle number of chemotherapy administrated concurrently with RT were analyzed. All patients were followed up at one month after the treatment, then once every three months until two years after the treatment, and every six months thereafter. Propensity score matching (PSM) was performed to reduce confounding factors. The primary endpoint was overall survival (OS). Survival analysis was performed with Kaplan-Meier and multivariate analysis was performed with Cox regression model.ResultsAmong the 370 patients who received radical radiotherapy, 206 patients received concurrent chemo-radiotherapy and were included for the analysis. Multivariate analysis showed that stage and PCI were independent prognostic factors for OS. The median OS in patients who received one cycle and two cycles of chemotherapy concurrently with RT were 32.9 months and 31.6 months, respectively (P = 0.241). And the median PFS were 20.6 months and 18.4 months, respectively (P = 0.764). After PSM, no statistical differences in OS and PFS were observed between patients who received one cycle and those who received two cycles of concurrent chemotherapy.ConclusionTwo cycles of concurrent chemotherapy during RT were not necessarily superior compared to one cycle in LS-SCLC. The optimal cycle number of concurrent chemotherapy during RT needs to be further studied.

Pedestrian detection is an important branch of computer vision, and it has important applications in the fields of autonomous driving, artificial intelligence and video surveillance.With the rapid development of deep learning and the proposal of large-scale datasets, pedestrian detection has reached a new stage and achieves better performance. However, the performance of state-of-the-art methods is far behind the expectation, especially when occlusion and scale variance exist. Therefore, a lot of works focused on occlusion and scale variance have been proposed in the past few years. The purpose of this article is to make a detailed review of recent progress in pedestrian detection. Firstly, brief progress of pedestrian detection in the past two decades is summarized. Secondly, recent deep learning methods focusing on occlusion and scale variance are analyzed. Moreover, the popular datasets and evaluation methods for pedestrian detection are introduced. Finally, the development trend of pedestrian detection is prospected.

The debate about speech acts in sexual contexts has been dominated by discussions of consent and refusal, two illocutions strictly connected to definitions of sexual assault and rape, which constitutes a crucial step in fighting male sexual violence against women. Many authors have recently claimed that this emphasis has a distorting and harmful impact on our understanding of sexual communication—for it highlights only its negative aspects (mostly how to avoid unwanted sex). Moreover, an account in terms of consent and refusal seems to presuppose a default asymmetrical scenario, with men actively requesting sexual activities and women passively consenting or refusing. The aim of my paper is to assess the different speech-act accounts modelling communication in sexual contexts. I will first summarize the philosophical discussion on consent and refusal in sexual contexts and underline its connections with the debate on hate speech. I will then explore the model of initiations of sex in terms of requests and requests for permission, and analyse the asymmetry and benefit objections. I will present the models in terms of invitations, gift offers, and proposals, advocated by Kukla 2018, Gardner 2018 and Caponetto 2021b for their collaborative nature: invitations and proposals are illocutions presenting the sexual activity as beneficial for both parties and framing sex as a joint activity. My main goal is to criticize such Collaborative Models: I will show that conceiving of initiations of sex in terms of invitations, offers and proposals does not remove but rather actually masks the asymmetry.

Multicultural education in primary school is now increasingly part of formal education, influencing the learning environment and the relationships between the pupils themselves. This master thesis deals with the possibilities and pitfalls of multicultural education, what multiculture is, where it is heading, it also deals with project-based learning, which has great potential in teaching cross-cutting topics that are part of the curriculum, because it allows to look into the issue at hand from the perspective of different educational areas. There is also an insight into its implementation in school teaching, how it is integrated into various subjects in primary school teaching. The practical part is devoted to one of the very topical topics of multicultural education, i.e. integration of pupils with OMJ into the classroom collective. The opinions and attitudes of teachers who encounter this issue, which is very often encountered in multicultural education, and the results of this investigation, where teachers anonymously filled in a questionnaire, which I subsequently evaluated, are also expressed. To a lesser extent, the views and attitudes of pupils are also recorded here, which I also consider important; these are pupils in one 5th grade primary school, as they themselves perceive this ongoing...

This study investigated treatment patterns and outcomes in patients with inoperable stage III non-small cell lung cancer (NSCLC) treated with radiotherapy (RT) in Turkey. We included 492 patients with stage III NSCLC in this multi-center retrospective study. Pa-tient demographics, clinical characteristics, and clinical treatment patterns from the time of the initial diagnosis to disease progression were recorded. Additionally, the prognostic factors predicting overall survival (OS) and progression-free survival (PFS) were analyzed. For the initial treatment, 429 patients (89.2%) received chemotherapy and RT, whereas 53 patients (10.8%) were treated only with RT. The first disease progression occurred in 288 patients (58.4%) at 9.3 months (median) after the initial treatment, and 64.6% re-ceived treatment after first progression. The second disease progression occurred in 30 patients, and 20 patients (66.7%) received treatment. Median OS and PFS were 27.0 months and 13.4 months, respectively. Age (p< 0.001), stage (p= 0.04), poor performance score (PS) (p= 0.03) and RT doses (p= 0.002) were independent predictors for OS and PFS in our multivariate analysis. Additional significant predictors for OS in the multivariate analysis were gender (p= 0.004), treatment period (0.02), and irradiation technique (p= 0.02). Disease progression occurred in nearly 58% of the patients, and one-third of these patients remained untreated during the disease progression. These findings indicate a need for additional treatment options in patients with unresectable stage III NSCLC with high-risk features, namely older age, stage IIIB disease, poor PS, and lower RT doses., AstraZeneca Turkey, AstraZeneca Turkey provided the funding for the study.

El presente trabajo pretende establecer una serie de propuestas de mejora en una serie de ámbitos concretos de actuación con el colectivo migrante y, más concretamente, con las mujeres que llegan a nuestro país. Para ello, nos acercamos a una serie de datos estadísticos que nos permiten establecer el perfil de la mujer migrante en España para, a continuación, realizar estas propuestas para este colectivo específico, atendiendo a una serie de ámbitos de actuación —establecidos allá por el año 2007, momento en el que se publica el primer plan estratégico de ciudadanía e integración en España— y que aún siguen rigiendo las políticas públicas migratorias y las propuestas internacionales en materia de mujer e inmigración This paper aims to establish a series of proposals for improvement in several specific action areas with the migrant group and, more specifically, with the women who arrive in our country. To do this, we approach a series of statistical data that allow us to establish the profile of migrant women in Spain, to then make these proposals for this specific group, considering a series of areas of action — established in 2007, when the first strategic plan for citizenship and integration was published in Spain— which still govern public migration policies, and the international proposals on women and immigration SI

Análisis del evento Colombia 4.0, como propuestas comercial e innovaciones para la Industria 4.0 en ámbitos ecológicos, desarrollo de propuestas potenciales para la economía y la empresa en el sector 1. Introducción 2. planteamiento 3. desarrollo 4. Conclusiones 5. Referencias Analysis of the Colombia 4.0 event, such as commercial proposals and innovations for Industry 4.0 in ecological fields, development of potential proposals for the economy and companies in the sector Pregrado

International audience; This article discusses the security of McEliece-like encryption schemes using subspace subcodes of Reed-Solomon codes, i.e. subcodes of Reed-Solomon codes over $\mathbb{F}_{q^m}$ whose entries lie in a fixed collection of $\mathbb{F}_q$-subspaces of $\mathbb{F}_{q^m}$. These codes appear to be a natural generalisation of Goppa and alternant codes and provide a broader flexibility in designing code based encryption schemes. For the security analysis, we introduce a new operation on codes called the twisted product which yields a polynomial time distinguisher on such subspace subcodes as soon as the chosen $\mathbb{F}_q$-subspaces have dimension larger than $m/2$. From this distinguisher, we build an efficient attack which in particular breaks some parameters of a recent proposal due to Khathuria, Rosenthal and Weger.