Miracle-dz/UniFAR-FTUs huggingface dataset:
Phase I (safety assessment) of durvalumab (MEDI4736) with focal sensitizing radiotherapy in platinum resistant ovarian, primary peritoneal or fallopian tube epithelial carcinoma.

TPS5604 Background: Radiation (RT) of malignant neoplasms can induce immunogenic tumor cell death, alter the tumor micro-environment and enhance recruitment of anti-tumor T cells. Co-administration of focal RT and an immune checkpoint-inhibiting agent may overcome immune-suppressive signals and potentiate systemic responses. A phase I study is underway to assess the safety of RT combined with PD-L1 inhibition in patients with recurrent epithelial ovarian/fallopian tube/peritoneal carcinomas (OV). Methods: Women with platinum resistant epithelial OV, ECOG PS 0/1 and ≤ 2 lines of treatment in the platinum-resistant setting are eligible. 1 lesion evaluable by RECIST criteria (v 1.1) and 2 additional lesions suitable for RT (minimal treatment volume 4cc) are required. Pre- and on-treatment biopsies for correlative studies are mandatory. The primary objectives are to assess the safety and tolerability of the focal RT combined with the immune checkpoint inhibitor, durvalumab (D), as defined by dose-limiting toxicities (DLTs), and to define the maximum tolerated RT dose and treatment schedule. The secondary objectives are to evaluate the clinical activity of focal RT and D [RECIST (v 1.1), GCIG CA-125, and immune-related response criteria], progression free survival and overall survival. D 1500 mg delivered intravenously every 28 days = one cycle. RT to the 2 selected target lesions is delivered 24-36 hours prior to the infusion of D. The RT starting dose-level is 24Gy (in 4 fractions) per lesion (given Days -1, 1 and 28 of Cycle 1 and Day 1 of Cycle 2). A 3+3+3 design will permit more extensive exploration of toxicity if DLTs are observed (Table). Investigator assessed DLTs are defined by CTCAE v. 4.03 and include the following: any grade ≥3 adverse event suspected to be related to D or RT (necrosis or recall reactions at previously irradiated sites, RT induced bowel perforation, any unexpected grade 3 or greater toxicity at the site of RT), any grade ≥2 allergic or autoimmune event that involves vital organ function, and any other grade 3 allergic or autoimmune events that do not resolve to grade 1 before the next scheduled dose of D. Treatment may continue up to 12 months. Enrollment began August 2018. To date, no DLTs have been observed at dose level 1 (n= 3) and enrollment is ongoing. Clinical trial information: NCT03283943. [Table: see text]
CAPTURING MOBILE COLLABORATION IN ACTIVE LEARNING: LESSONS FROM A LONGITUDINAL MIXED METHODOLOGIES STUDY

This paper reflects on an attempt to introduce smartphones into a blended learning context and highlights several methodological considerations relevant to the collection of mobile data. While mixed methods are now common, using this approach for investigating the challenges of mobile data collection is not as common. This study employed a mixed method longitudinal exploratory multiple case study design. The study collected qualitative and quantitative data on student interactions within a yearlong series of collaborative language learning activities. This paper describes the methodological issues that emerged during the planning and implementation of the study. The participants were undergraduate students studying English translation at a four-year private university in Tokyo, Japan. This paper adds to the knowledge of employing mixed methodology design for mobile data collection and analysis. In particular the advantages of incorporating Multidimensional Scaling (MDS) analysis with qualitative data. The results suggest that separate forms of data collected at similar frequencies and times and then triangulated provided an effective methodology for studying collaborative learners in a highly mobile context. This can be seen as evidence for the inclusion of various data collection cycles within a single mobile learning research study.
Docaid: Predictive Healthcare Analytics Using Na\"{i}ve Bayes Classification

With the advancement in the field of medical research, there has been a copious increase in the data that is stored in the various public and private hospitals, clinics and other places of medical practice. This large store of data needs to be administered in a proper manner so that we can derive useful insights and conclusions using a proper analysis system. Such large amount of data is aptly handled through analyzing the unstructured or structured data by utilizing machine learning algorithms. Predictive analytics, a key component of machine learning algorithms, helps users make enhanced and supervised decisions. Visual Analytics is a tool to cost-effectively sort the exuberant and rapidly incrementing data in the field of medical research. It helps us cope with the assorted data in an organized manner, which the human brain would be able to visualize easily. This would in turn provide new innovative and potential results. This analytics not only provides structured data but also initiates structured thoughts in the mind of humans. As practitioners analyze certain anomalous situations, the process of visual analytics process would provide sorted relevant data related to it. This would in turn decrease the cost of maintaining huge amount of data.
Hierarchical object recognition algorithm based on Kalman filter for adaptive cruise control system using scanning laser

Not merely running at a designated constant speed as classical cruise control, the adaptive cruise control (ACC) maintains a safe headway distance when the front is blocked by other vehicles. One of the most essential part of ACC system is the range sensor which can measure the position and speed of all objects in front continuously, ignore all irrelevant objects, distinguish vehicles in different lanes and lock on to the closest vehicle in the same lane. In this paper, the hierarchical object recognition algorithm (HORA) is proposed to process raw scanning laser data and acquire valid distance to target vehicle. HORA contains two principal concepts. First, the concept of life quantifies the reliability of range data to filter off the spurious detection and preserve the missing target position. Second, the concept of conformation checks the mobility of each obstacle and tracks the position shift. To estimate and predict the vehicle position a Kalman filter is used. Repeatedly updated covariance matrices determine the bound of valid data. The algorithm is emulated on computer and tested on-line with our ACC vehicle.
Mind, Consumers, and Dairy: Applying Artificial Intelligence, Mind Genomics, and Predictive Viewpoint Typing

We present a new approach to more deeply understand the mind of consumers with respect to food products, using a combination of artificial intelligence to provide the ideas, Mind Genomics to understand how consumers respond to these ideas, uncovering Mind-Sets, and statistical assignment of new people to these newly uncovered Mind-Sets using the PVI, personal viewpoint identifier. We illustrate the approach in detail with yogurt, and then present data from other studies about yogurt, milk, and cheese, to reveal new knowledge about emergent Mind-Sets for conventional dairy products. The key benefits of the approach are the scope (many ideas from artificial intelligence), discipline (experimental design to uncover what is important), actionability findings, mind-types, speed (within 2 or 3 days), and cost (low because of automation).
Epidemiology: Beyond the Basics

Written for those who are familiar with the basic strategies of analytic epidemiology, Epidemiology: Beyond the Basics takes readers through a more rigorous discussion of key epidemiologic concepts and methods such as study design, measures of association, research assessment, and more. With real-life examples throughout, the book avoids complex statistical formulations and is an invaluable resource for intermediate students and practicing epidemiologists who wish to expand their knowledge of epidemiology and its role in the medical and public health sciences. The Third Edition offers a completely revamped page design that will make it easier for your students to navigate through the many charts, graphs, and mathematical formulas. It also offers expanded chapter exercises, new and updated references throughout, as well as coverage of some new topics including: * Over-diagnosis Bias (Ch. 4); * "Joint Presence of Two Factors that Interact as a Confounding Variable" (Ch. 6); * "Alternative Approaches for the Control of Confounding" (Ch. 7); * "Final Considerations" (Ch.8); * Decision trees (Ch. 10) This edition also offers an updated package of instructor materials including instructor's manual, PowerPoint lecture slides, and a test bank.
Addressing Scientific Literacy Through Content Area Reading And Proces

The purpose of this study was to interpret the experiences of secondary science teachers in Florida as they address the scientific literacy of their students through teaching content reading strategies and student inquiry skills. Knowledge of the successful integration of content reading and inquiry skills by experienced classroom teachers would be useful to many educators as they plan instruction to achieve challenging state and national standards for reading as well as science. The problem was investigated using grounded theory methodology. Open-ended questions were asked in three focus groups and six individual interviews that included teachers from various Florida school districts. The constant comparative approach was used to analyze the data. Initial codes were collapsed into categories to determine the conceptual relationships among the data. From this, the five core categories were determined to be Influencers, Issues, Perceptions, Class Routines, and Future Needs. These relate to the central phenomenon, Instructional Modifications, because teachers often described pragmatic and philosophical changes in their teaching as they deliberated to meet state standards in both reading and science. Although Florida’s secondary science teachers have been asked to incorporate content reading strategies into their science instruction for the past several years, there was limited evidence of using these strategies to further student understanding of scientific processes. Most teachers saw little connection between reading and inquiry, other than the fact that students must know how to read to follow directions in the lab.
Face Recognition Algorithm Based on VGG Network Model and SVM

The problem that the dimension of facial features is too large does exist with the Deep learning face recognition. This paper proposes a face recognition algorithm based on SVM combined with VGG network model extracting facial features, which can not only accurately extract face features, but also reduce feature dimensions and avoid irrelevant features to participate in the calculation. Firstly, the VGG-16 model is obtained by training the training data set, which is used for feature extraction, on top of this, principal component analysis method (PCA) is used for feature dimensionality reduction, and last, the face recognition is performed by SVM classifier with linear kernel function. In this paper, we conduct a comparative experiment on CelebA dataset and find that the accuracy reaches its peak when the feature dimension is reduced to 400.The experiment is carried out on LFW dataset using 400-dimensional feature data, and comparing with other algorithms, the results show that the algorithm in this paper has reached the level of state-of-art.
Design and Evaluation of a Mixed-Reality Interface for Collaborative Learning at School

Traditional user interfaces such as WIMP (Window, Icon, Menu, Pointer) interfaces are widespread in schools and have been proven to be useful in many scenarios. Unfortunately, they have shown to be unfit in the case of collaborative learning. Indeed, this type of activity at school is mainly based on physical interactions with paper, objects and often happened around a table. However, technologies have evolved and interfaces that support rich 3D interactions are becoming more and more used by HCI researchers to go beyond the paradigm of screens, mice and keyboards. In this paper, we present doctoral research that proposes to overcome current usages in classrooms by exploiting the advantages of hybrid environments for collaborative learning. We based these interfaces on tangible user interactions and spatial augmented reality that support collaboration and physical manipulation of digital content in an unique hybrid space. Interactions will be designed by applying instructional design principles as well as learning theories from cognitive science and education science. This paper also presents first results of our ongoing work as well as future directions that will involve focus groups with practitioners and experiments in classrooms.
Developing Interventions for Frailty

Frailty is a well-recognised, complex syndrome, predominantly affecting older people. Currently, there are two main conceptualizations of frailty: the phenotypic and the accumulated deficit models, with the phenotypic model being more widely applied in clinical research. Based on these models, we contend that a number of the phenotypic frailty components (weakness, slowness, and low energy expenditure) are potentially reversible. This paper outlines the results of a frailty research program. It summarizes the initial frailty treatment model and reports its effectiveness. Briefly, the effect of a twelve-month individually tailored multifactorial, interdisciplinary intervention targeting frailty was compared with usual care. The intervention reduced phenotypically defined frailty and improved mobility. Further, it is contended that there is evidence of substantial unmet need due to treatment fragmentation and the absence of a comprehensive approach for this population. Our paper then outlines the current stage of our research in which the model is now being extended to prefrailty. Interventions aimed at reversing the frailty syndrome or its consequences are only in their early stages. There is significant scope for future research to identify optimal management programs for frail older people.
Bullying from a cross-cultural perspective : A comparison between Austria and Japan

This paper aims to compare the prevalence of bullying and victimization among students in Austria and Japan and to discuss cross-cultural differences based on the current research. Data from Japan were based on school reports from MEXT (2010) and from students’ self-assessments (Morita, 1999). The Austrian data were primarily drawn from international surveys (HBSC data of 2006) and national studies (Gradinger et al., 2009 etc), and based mainly on self-reports from anonymous students. Overall, the results of this review showed some differences in the prevalence and types of bullying between the two countries. According to the student reports, bullying and victimization in elementary and lower secondary schools occurs at a higher rate in Austria than in Japan. This cross-cultural difference may partly be explained by the fact that Japanese students have a tendency not to report bullying as frequently as students in Western cultures. Regarding the type of bullying in both countries, verbal bullying was most common, but the rate of this type of bullying was much higher in Japan. However in the case of physical bullying, the rate in Austria is higher than in Japan.Social bullying in terms of “taking or hiding things from others” has been reported in both countries to a similar degree.
Performance Optimization of Memory-Bound Programs on Data Parallel Accelerators

High performance applications depend on high utilization of memory bandwidth and computing resources, and data parallel accelerators have proven to be very effective in providing both, when needed. However, memory bound programs push the limits of system bandwidth, causing under-utilization in computing resources and thus energy inefficient executions. The objective of this research is to investigate opportunities on data parallel accelerators (i.e., SIMD units and GPUs) and design solutions for improving the performance of three classes of memory-bound applications: stencil computation, sparse matrix-vector multiplication (SpVM) and graph analytics. This research first focuses on performance bottlenecks of stencil computations on short-vector SIMD ISAs and presents StVEC, a hardware-based solution for extending the vector ISA and improving data movement and bandwidth utilization. StVEC includes an extension to the standard addressing mode of vector floating-point instructions in contemporary vector ISAs (e.g. SSE, AVX, VMX). A code generation approach is designed and implemented to help a vectorizing compiler generate code for processors with StVEC extensions. Using an optimistic as well as a pessimistic emulation of the proposed StVEC instructions, it is shown that the proposed solution can be effective on top of SSE and AVX capable processors. To analyze hardware
Haptic issues for virtual manipulation

The Windows-Icons-Menus-Pointer (WIMP) interface paradigm dominates modern computing systems. Yet these interaction techniques were originally developed for machines that are now 10, 15, or nearly 20 years old. Human-computer interaction currently faces the challenge of getting past this "WIMP plateau" and introducing new techniques which take advantage of the capabilities of today's computing systems and which more effectively match human capabilities. Two-handed spatial interaction techniques form one possible candidate for the post-WIMP interface in application areas such as scientific visualization, computer aided design, and medical applications. The literature offers many examples of point design, offering only a description of the thing (what the artifact is) and not the process. But point design only provides a hit-or-miss coverage of the design space and does not tie the multiplicity of efforts into a common understanding of fundamental issues. To get past the WIMP plateau, we need to understand the nature of human-computer interaction as well as the underlying human capabilities. My research contributes a working system which has undergone extensive informal usability testing in the context of real domain experts doing real work, and it also presents the results of experimental evaluations which illustrate human behavioral principles. Together, these approaches make a decisive statement that using both hands for virtual manipulation can result in improved user productivity. I contribute to the field by: (1) Showing that virtual manipulation needs to study the feel of the interface, and not just the graphical look of the interface; (2) Applying virtual manipulation technology to a volume visualization application which has been well received by neurosurgeons; (3) Demonstrating two-handed virtual manipulation techniques which take advantage of the highly developed motor skill of both hands; (4) Contributing basic knowledge about how two hands are used; (5) Showing that two hands are not just faster than one hand, but that two hands together provide information which one hand alone cannot, and can change how users think about a task; and finally (6) Providing an overall case study for an interdisciplinary approach to the design and evaluation of new human-computer interaction techniques.
Word-cards in Action: A Classroom-based Study

Vocabulary is arguably the most important aspect of learning a new language, for without it, the successful expression of one’s thoughts, feelings, and desires cannot be achieved. There exist a multitude of ways through which vocabulary may be taught and learned, but one often-overlooked method in today’s communicative classroom environment is that of word-cards. In this study, word-cards were employed throughout a four-week session to aid ESL students (N=11) in the acquisition (recognition and use) of new vocabulary. This study aimed to answer the following three questions: (1) What features do classroom learners typically include or leave out in the making of their vocabulary cards, and which do they find most useful? (2) How do the learners perceive vocabulary learning through word cards? (3a) Are there measurable learning effects as indicated by performance on vocabulary tests administered at the beginning and end of a four-week school session during which vocabulary cards were used? (b) If so, to what extent was the knowledge acquired via word cards retained four weeks after the end of the session? Of a list of 213 potentially new words encountered in five separate 90-minute lessons, students were free to choose any 10 to 15 unknown words per lesson for which to create their word-cards (which resulted in a final average of 45 cards per student in total). Prior to beginning, both students and teacher were instructed in the basics of producing and using word-cards in their studies. Results indicated that the use of word-cards lead to the acquisition of new vocabulary. When the vocabulary that was learned with word-cards was compared to vocabulary learned without word-cards, results indicated a more successful overall acquisition rate for the word-card words.
Modèles génératif et discriminant en analyse syntaxique : expériences sur le corpus arboré de Paris 7 (Generative and discriminative models in parsing: experiments on the Paris 7 Treebank)

Nous présentons une architecture pour l’analyse syntaxique en deux étapes. Dans un premier temps un analyseur syntagmatique construit, pour chaque phrase, une liste d’analyses qui sont converties en arbres de dépendances. Ces arbres sont ensuite réévalués par un réordonnanceur discriminant. Cette méthode permet de prendre en compte des informations auxquelles l’analyseur n’a pas accès, en particulier des annotations fonctionnelles. Nous validons notre approche par une évaluation sur le corpus arboré de Paris 7. La seconde étape permet d’améliorer significativement la qualité des analyses retournées, quelle que soit la métrique utilisée.
Evaluation of a new method for in-patient co-morbidity analysis based on KHIRI Pathology Group Set codes at the Kigali University Teaching Hospital

The Kigali Health Informatics Research Institute (KHIRI), a department of the Kigali University Teaching Hospital, one of the national referral hospitals in Rwanda, has developed a set of pathology grouping codes in an attempt to enable efficient evaluation of clinical activity in a typical sub-Saharan hospital. This KHIRI Pathology Grouping Set (KPGS) is a bi-classified grouping system, based on ICD-10 and ICPC-2 classification standards and constructed on ICD-10 chapters. KPGS provides a means for providing an analysis of hospital co-morbidity for hospital management purposes. This study evaluates both the consistency of ICD-10 and ICPC-2 mappings on KPGS as well as the clinical value of the defined groupings of clinical conditions.
Embedding E-Mail in Primary Schools: Developing a Tool for Collective Reflection

Reflection is an important aspect of learning in groups. In collective moments of reflection, learners can share and compare their ideas with others, and by doing so can reach an articulated and personal understanding of a learning task and domain. In the research presented here, e-mail is examined as a means for reflection in the context of group learning. In two design experiments, an e-mail tool is developed that seeks to (1) support collective reflection, and (2) overcome practical problems related to e-mail use in primary classrooms. Two prototypes of the tool are presented and tested in five primary classrooms. We conclude that e-mail supports collective reflection on a learning task after adding the following supportive measures to the regular e-mail program: (1) a fixed partnership, (2) fixed timing, (3) an exercise of individual freewriting, and (4) collective use of a paper worksheet.