Miracle-dz/UniFAR-FTUs huggingface dataset:
Identity and Healing in Three Navajo Religious Traditions: Sa'ah Naagháí Bik'eh Hózho

In this article, we elucidate how the Navajo synthetic principle Saah Naaghai Bik'eh Hozho (SNBH) is understood, demonstrated, and elaborated in three different Navajo healing traditions. We conducted interviews with Navajo healers and their patients affiliated with Traditional Navajo religion, the Native American Church, and Pentecostal Christianity. Their narratives provide access to cultural themes of identity and healing that invoke elements of SNBH. SNBH specifies that the conditions for health and well-being are harmony within and connection to the physical/spiritual world. Specifically, each religious healing tradition encourages affective engagement, proper family relations, an understanding of one's cultural and spiritual histories, and the use of kinship terms to establish affective bonds with one's family and with the spiritual world. People's relationships within this common behavioral environment are integral to their self-orientations, to their identities as Navajos, and to the therapeutic process. The disruption and restoration of these relationships constitute an important affective dimension in Navajo distress and healing. [Navajos, identity, religion, healing, health]
A multicentre study of the evidence for customized margins in photon breast boost radiotherapy

Objective: To determine if subsets of patients may benefit from smaller or larger margins when using laser setup and bony anatomy verification of breast tumour bed (TB) boost radiotherapy (RT). Methods: Verification imaging data acquired using cone-beam CT, megavoltage CT or two-dimensional kilovoltage imaging on 218 patients were used (1574 images). TB setup errors for laser-only setup (dlaser) and for bony anatomy verification (dbone) were determined using clips implanted into the TB as a gold standard for the TB position. Cases were grouped by centre-, patient- and treatment-related factors, including breast volume, TB position, seroma visibility and surgical technique. Systematic (Σ) and random (σ) TB setup errors were compared between groups, and TB planning target volume margins (MTB) were calculated. Results: For the study population, Σlaser was between 2.8 and 3.4 mm, and Σbone was between 2.2 and 2.6 mm, respectively. Females with larger breasts (p = 0.03), easily visible seroma (p ≤ 0.02) and open surgical technique (p ≤ 0.04) had larger Σlaser. Σbone was larger for females with larger breasts (p = 0.02) and lateral tumours (p = 0.04). Females with medial tumours (p < 0.01) had smaller Σbone. Conclusion: If clips are not used, margins should be 8 and 10 mm for bony anatomy verification and laser setup, respectively. Individualization of TB margins may be considered based on breast volume, TB and seroma visibility. Advances in knowledge: Setup accuracy using lasers and bony anatomy is influenced by patient and treatment factors. Some patients may benefit from clip-based image guidance more than others.
What to Write? A topic recommender for journalists

In this paper we present a recommender system, What To Write and Why, capable of suggesting to a journalist, for a given event, the aspects still uncovered in news articles on which the readers focus their interest. The basic idea is to characterize an event according to the echo it receives in online news sources and associate it with the corresponding readers’ communicative and informative patterns, detected through the analysis of Twitter and Wikipedia, respectively. Our methodology temporally aligns the results of this analysis and recommends the concepts that emerge as topics of interest from Twitter andWikipedia, either not covered or poorly covered in the published news articles.
Cultural Impacts on Knowledge Management and Learning in Project-Based Firms

Purpose – Projects almost invariably involve a variety of diversely skilled people from different national, organisational, and professional cultural backgrounds. These people come together for a specific period of time to accomplish certain unique, unpredictable, and complex objectives. These distinctive characteristics mean that project-based firms require a particular approach to knowledge management (KM) and learning activities that differs significantly from prevailing strategies. This paper aims to explore the way in which these distinctive cultural issues (national, organisational, and professional) influence KM in project-based firms. Design/methodology/approach – The paper first looks at the general issues of KM and the “learning organisation”. Second, the study discusses the more specific issue of KM in project-based firms. Third, the paper explores national, organisational, and professional cultures in the context of project-based business. Finally, the paper draws the three preceding sections together to discuss the managerial implications of dealing with cultural issues in fostering KM in project-based firms. Findings – It is apparent that culture has a most significant influence on the KM capability of an organisation. The moral and budgetary support of senior management is essential for the success of any KM plan in project-based business. Research limitations/implications – This paper puts forward a conceptually grounded argument by stressing on cultural complexities to KM and learning in project environments. The key cultural issues highlighted here need to be empirically tested in future studies. Practical implications – At the organisational level, people and processes must be the first priority for project managers who wish to nurture a “KM culture” in project-based business. At the team level, the project manager can help to create a team culture conducive to KM by transmitting appropriate values and beliefs to the team members. Originality/value – The paper helps practitioners and academics to understand the complexities of cultural issues during KM initiatives in the context of improving project performance.
Agile Testing: A Systematic Mapping across Three Conferences: Understanding Agile Testing in the XP/Agile Universe, Agile, and XP Conferences

Unit and acceptance testing are central to agile software development, but is that all there is to agile testing? We build on previous work to provide a systematic mapping of agile testing publications at major agile conferences. The analysis presented in this paper allows us to answer research questions like: what is agile testing used for, what types of studies on agile testing have been published, what problems do people have when performing agile testing, and what benefits do these publications offer? We additionally explore topics such as: who are the major authors in this field, in which countries do these authors work, what tools are mentioned, and is the field driven by academics, practitioners, or collaborations? This paper presents our analysis of these topics in order to better structure future work in the field of agile testing and to provide a better understanding of what this field actually entails.
Early Response Monitoring Following Radiation Therapy by Using [18F]FDG and [11C]Acetate PET in Prostate Cancer Xenograft Model with Metabolomics Corroboration

We aim to characterize the metabolic changes associated with early response to radiation therapy in a prostate cancer mouse model by 2-deoxy-2-[18F]fluoro-d-glucose ([18F]FDG) and [11C]acetate ([11C]ACT) positron emission tomography, with nuclear magnetic resonance (NMR) metabolomics corroboration. [18F]FDG and [11C]ACT PET were performed before and following irradiation (RT, 15Gy) for transgenic adenocarcinoma of mouse prostate xenografts. The underlying metabolomics alterations of tumor tissues were analyzed by using ex vivo NMR. The [18F]FDG total lesion glucose (TLG) of the tumor significant increased in the RT group at Days 1 and 3 post-irradiation, compared with the non-RT group (p < 0.05). The [11C]ACT maximum standard uptake value (SUVmax) in RT (0.83 ± 0.02) and non-RT groups (0.85 ± 0.07) were not significantly different (p > 0.05). The ex vivo NMR analysis showed a 1.70-fold increase in glucose and a 1.2-fold increase in acetate in the RT group at Day 3 post-irradiation (p < 0.05). Concordantly, the expressions of cytoplasmic acetyl-CoA synthetase in the irradiated tumors was overexpressed at Day 3 post-irradiation (p < 0.05). Therefore, TLG of [18F]FDG in vivo PET images can map early treatment response following irradiation and be a promising prognostic indicator in a longitudinal preclinical study. The underlying metabolic alterations was not reflected by the [11C]ACT PET.
Fixed-rank representation for unsupervised visual learning

Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-the-art techniques for subspace clustering make use of recent advances in sparsity and rank minimization. However, existing techniques are computationally expensive and may result in degenerate solutions that degrade clustering performance in the case of insufficient data sampling. To partially solve these problems, and inspired by existing work on matrix factorization, this paper proposes fixed-rank representation (FRR) as a unified framework for unsupervised visual learning. FRR is able to reveal the structure of multiple subspaces in closed-form when the data is noiseless. Furthermore, we prove that under some suitable conditions, even with insufficient observations, FRR can still reveal the true subspace memberships. To achieve robustness to outliers and noise, a sparse regularizer is introduced into the FRR framework. Beyond subspace clustering, FRR can be used for unsupervised feature extraction. As a non-trivial byproduct, a fast numerical solver is developed for FRR. Experimental results on both synthetic data and real applications validate our theoretical analysis and demonstrate the benefits of FRR for unsupervised visual learning.
Using a hardware model checker to verify software

A variety of new algorithms has begun to enable model checking of industrial-sized netlists. This work attempts to apply that technology to the verification of embedded software: C programs that manipulate integers and contain unstructured control flow, but are not recursive and do not dynamically allocate memory. We describe a synthesis procedure for translating a subset of C into a netlist and present experiments that show the models it builds seem to be harder to verify than typical hardware circuits, suggesting the problem has a different character. Although we only have preliminary experimental results, they help to identify the challenges inherent in verifying this class of software and leave open the possibility of more successful approaches.
Large-scale network traffic monitoring with DBStream, a system for rolling big data analysis

The complexity of the Internet has rapidly increased, making it more important and challenging to design scalable network monitoring tools. Network monitoring typically requires rolling data analysis, i.e., continuously and incrementally updating (rolling-over) various reports and statistics over highvolume data streams. In this paper, we describe DBStream, which is an SQL-based system that explicitly supports incremental queries for rolling data analysis. We also present a performance comparison of DBStream with a parallel data processing engine (Spark), showing that, in some scenarios, a single DBStream node can outperform a cluster of ten Spark nodes on rolling network monitoring workloads. Although our performance evaluation is based on network monitoring data, our results can be generalized to other Big Data problems with high volume and velocity.
Communicating attention: Gaze position transfer in cooperative problem solving

The results of two experiments, in which participants solved constructive tasks of the puzzle type, are reported. The tasks were solved by two partners who shared the same visual environment hut whose knowledge of the situation and ability to change it to reach a solution were different. One of the partners — the "expert" — knew the solution in detail but had no means of acting on this information. The second partner — the "novice " — could act to achieve the goal, but knew very little about the solution. The partners were free to communicate verbally. In one third of the trials of the first experiment, in addition to verbal communication, the eye fixations of the expert were projected onto the working space of the novice. In another condition the expert could use a mouse to show the novice relevant parts of the task configuration. Both methods of facilitating the 'joint attention' state of the partners improved their performance. The nature of the dialogues as well as the parameters of the eye movements changed. In the second experiment the direction of the gaze-position data transfer was reversed, from the novice to the expert. This also led to a significant increase in the efficiency of the distributed problem solving.
A Partial Skeleton of the Fossil Great Ape Hispanopithecus laietanus from Can Feu and the Mosaic Evolution of Crown-Hominoid Positional Behaviors

The extinct dryopithecine Hispanopithecus (Primates: Hominidae), from the Late Miocene of Europe, is the oldest fossil great ape displaying an orthograde body plan coupled with unambiguous suspensory adaptations. On the basis of hand morphology, Hispanopithecus laietanus has been considered to primitively retain adaptations to above-branch quadrupedalism–thus displaying a locomotor repertoire unknown among extant or fossil hominoids, which has been considered unlikely by some researchers. Here we describe a partial skeleton of H. laietanus from the Vallesian (MN9) locality of Can Feu 1 (Vallès-Penedès Basin, NE Iberian Peninsula), with an estimated age of 10.0-9.7 Ma. It includes dentognathic and postcranial remains of a single, female adult individual, with an estimated body mass of 22–25 kg. The postcranial remains of the rib cage, shoulder girdle and forelimb show a mixture of monkey-like and modern-hominoid-like features. In turn, the proximal morphology of the ulna–most completely preserved in the Can Feu skeleton than among previously-available remains–indicates the possession of an elbow complex suitable for preserving stability along the full range of flexion/extension and enabling a broad range of pronation/supination. Such features, suitable for suspensory behaviors, are however combined with an olecranon morphology that is functionally related to quadrupedalism. Overall, when all the available postcranial evidence for H. laietanus is considered, it emerges that this taxon displayed a locomotor repertoire currently unknown among other apes (extant or extinct alike), uniquely combining suspensory-related features with primitively-retained adaptations to above-branch palmigrady. Despite phylogenetic uncertainties, Hispanopithecus is invariably considered an extinct member of the great-ape-and-human clade. Therefore, the combination of quadrupedal and suspensory adaptations in this Miocene crown hominoid clearly evidences the mosaic nature of locomotor evolution in the Hominoidea, as well as the impossibility to reconstruct the ancestral locomotor repertoires for crown hominoid subclades on the basis of extant taxa alone.
Passive acoustic Monitoring of Moving targets by sParse underwater sensor network

In this thesis it is shown that signals registered hundreds of meters away from each other can be used to position moving sound within the sensor area. Measurement results are presented from four experiments in shallow waters 20 meters deep, located in the Baltic Sea. The measurements were performed with different setups, at different locations and during different seasons. The thesis comprises four parts. The first part presents a comparative study of two methods for estimating the time delay between two measurement signals, where the sound consists of noise and dominant tonals. Effects from different geometric setups on the position estimate are shown. The result indicates that larger baselines give better positioning capabilities despite a larger uncertainty in the time delay estimation. The second part of this thesis concerns imaging, which means the projection of multiple pairwise correlation results into a two-dimensional plane. Results from a target placed at a distance equal to the length of the sensor baselines are shown. Weights that can be used to give different sensor pairs different importance in the summation image are investigated. In this case, the target was assumed to consist of one sound source. The third part of the thesis also concerns imaging, but presents results from a target placed at a distance smaller than the length of the sensor baselines. In this part, simulation shows that it is possible to position an object in a three-dimensional space using sensors placed in a two-dimensional span. The fourth and final part of this thesis also focuses on imaging and here the results indicate that several sound sources can be resolved for a target.
Distributed Reasoning with EDDLHQ+ SHIQ

To deal with autonomous agents’ knowledge and subjective beliefs in open, heterogeneous and inherently distributed settings, we need special formalisms that combine knowledge from multiple and potentially heterogeneous interconnected contexts. Each context contains a chunk of knowledge defining a logical theory, called ontology unit). While standard logics may be used, subjectiveness and heterogeneity issues have been tackled by knowledge representation formalisms called contextual logics or modular ontology languages (e.g. [1] [2]). Nevertheless, in distributed and open settings we may expect that different ontology units should be combined in many different, subtle ways without making any assumption about the disjointness of the domains covered by different units. To address this issue we need to increase the expressivity of the language used for defining correspondences.Towards this goal, we have been motivated to propose the representation framework E HQ+ SHIQ (or simply E − SHIQ).
What You See Is What You Get

A perceptually filled-in surface, such as occurs during sustained attention to a peripheral stimulus (Troxler fading), can be functionally equivalent to a physically presented stimulus. Observers failed to detect probes that were presented in the location of a filled-in surface that had the same surface attributes as the probes; this was true even though, physically, the probes contrasted with the background. Probe stimuli with surface characteristics different from those of the filled-in surface were detected more often, though not quite as often as when there was no filled-in surface. Together, these findings support the idea that there are two components in perceptual filling: a neural filling-in component and a sustained-attention component, which actively suppresses perceptual processing at the filled-in location. More broadly, they illustrate the interplay of basic visual mechanisms in the creation and representation of visual surfaces and in the coding and detection of changes to these surfaces.
Economic evaluation of end stage renal disease patients undergoing hemodialysis

Background: In India the incidence of end stage renal disease (ESRD) is increasing day by day and the option for the treatment of ESRD is dialysis or transplantation. In the present scenario, due to the cost of treatment normal people can afford only hemodialysis rather than transplantation. Since the cost of hemodialysis differs across the country, research is needed to evaluate its exact cost. Aim: This study is to analyze the healthcare cost of hemodialysis in a private hospital of South India. Materials and Methods: This is a prospective, observational study carried out in a tertiary care hospital. Patients who are undergoing routine hemodialysis in this hospital were selected for the study. Patient data as well as cost details were collected for a period of six months. Thirty patients were selected for the study and a total of 2160 dialysis sessions were studied. Patient perspective was taken for the analysis of cost. Both direct and indirect costs were analyzed. This includes cost of dialysis, investigations, erythropoietin, food, transportation, lost wages etc. Socioeconomic status of the patient was also studied. Result: The total cost per session was found to be around Rs. 4500. Fifty six percent contributes direct medical cost whereas 20% contributes direct non medical cost. Twenty four percent cost was due to indirect costs. Since the patients are paying from their own pocket, only the upper or upper middle class patient can undergo hemodialysis regularly. Conclusion: These findings are important to find out the impact of cost of hemodialysis on patients suffering from ESRD. Further studies related to costs and outcome, otherwise known as pharmacoeconomic studies, are needed to analyze the pros and cons of renal replacement therapy and to improve the quality of life of ESRD patients. Thus pharmacoeconomical studies are needed to realize that government has to take initiative to provide insurance or reimbursement for the common people.
Effect of Community Characteristics on Familial Clustering of End-Stage Renal Disease

Background: Lower socioeconomic status is generally associated with an increased risk of end-stage renal disease (ESRD). The relationship between community characteristics reflecting socioeconomic status and familial aggregation of common forms of ESRD has not been studied. Methods: Demographic data and family history of ESRD were collected from 23,880 incident dialysis patients in ESRD Network 6 between 1995 and 2003. Addresses were geocoded and linked to the 2000 census 5-digit zip code-level database that includes community demographic, social and economic characteristics. Clustering of patients having a family history of ESRD at the community level was accounted for using a generalized estimating equations (GEE) model. Multivariate analysis estimated associations between family history of ESRD and community-level characteristics. Results: Twenty-three percent of patients reported a family history of ESRD. After adjusting for individual demographic characteristics, multivariate analyses failed to reveal statistically significant relationships between a family history of ESRD and indicators of community socioeconomic status such as median household income, percentage high school graduates, percentage vacant housing units or ethnic composition. Conclusions: Although select community measures of lower socioeconomic status may contribute to the familial clustering of ESRD, non-socioeconomic factors, potentially inherited, appear to be more important contributors to familial aggregation of the common forms of ESRD.
The effect of articulatory suppression and manual tapping on serial recall

Concurrent tasks, such as articulatory suppression and manual tapping, are used to understand the mechanisms underlying short-term memory by overloading domain-specific resources. The present study addresses the debate regarding the theoretical frameworks accounting for interference in serial recall by comparing the effects of both the modality of concurrent tasks (verbal vs. spatial) as well as the state of the tasks (steady vs. changing) in both verbal and spatial recall. The findings indicate that the verbal changing-state concurrent task significantly impaired digit recall, whereas the spatial changing-state concurrent task significantly impaired block recall. The theoretical implications are discussed in the context of a multimodal working memory model with domain-specific resources and a unitary approach to short-term memory.