Miracle-dz/UniFAR-FTUs huggingface dataset:
Home Delivered Meals II Older Adults Sensory Perceptions and Satisfaction from Assistant Nurses Perspective

Introduction: Overall meal satisfaction and sensory properties of the food have been seen to impact the nutritional status in older adults living in residential care homes. However, there is a lack of studies focusing on home-dwelling older adults’ perceptions and satisfaction of home delivered meals. Objective: The purpose was to examine home-dwelling older adults’ sensory perceptions and satisfaction of home-delivered meals from the assistant nurses’ perspective. Method: The present study was the quantitative follow-up phase of a mixed method study with an exploratory sequential design. Data was collected through an online survey regarding assistant nurses’ (N=74) experiences of their care recipients satisfaction and perceptions of appearance, odor, flavor and texture of the meals. Result: The nurses reported that most care recipients appreciate the sensory properties of the meals. However, the perceptions of texture and flavor varied considerably as the texture of vegetables were perceived as either hard or soft, and the meat was perceived as either chewy or easy to chew. Moreover, the flavor of the meals were perceived as either tasty or tasteless. Sensory properties were important for the care recipients’ meal experience, and odor (OR= 6.15, p= 0,03,) and flavor (OR= 5.71, p= 0,05) were significant predictors for meal satisfaction. However, satisfaction could not be correlated to type of delivery system. Conclusion: Chewing difficulties and deteriorating smell and taste senses could be a reason for the great variation of the reported perceptions of texture and flavor. To increase older adults’ acceptability, more focus on choice of products and cooking techniques might be a way to improve the texture and flavor of the meals. Furthermore, due to selection bias the result cannot be generalized.
Learning Organization in Practices: A Study Case of the Indonesian Companies

The globalization has a significant influence on business, therefore, companies have to compete with one another to survive, grow and sustain. To win the fierce competition, a company should innovate appropriately; and this can be achieved by adopting a learning organization. This research aims to describe the application of learning paradigm in the medium-big size companies in Indonesia by applying a qualitative method. Garvin’s three-building block of learning organization concept is used. Four companies were selected and analyzed to describe their learning organization practices. Based on in-depth interviews and observation, it can be concluded that all four companies have adopted a learning organization with different styles. In fact, concrete continuous learning has not been perfectly practiced. Transformational leadership has been practiced; however it should be more consistently used. Sharing knowledge and Training & Development program as parts of the learning organization paradigm have been practiced. Based on the findings, all companies are suggested to practice learning organization more appropriately. In addition, ADDIE concept should be more effectively carried out to improve their training and development quality. Eventually being a learning organization, the four companies are encouraged to do some innovations through effective knowledge sharing. Keywords— Learning organization, Transformational leadership, Building block, knowledge sharing, ADDIE.
Only Three Fingers Write, But The Whole Brain Works: Is the pen mightier than the word?

Electroencephalogram (EEG) was used in young adults to study brain electrical activity as they were writing or describing visually presented Pictionary words using a keyboard, or as they were drawing the same words using a stylus. Analyses of temporal spectral evolution (TSE, time-dependent amplitude changes) were performed on EEG data recorded with a 256-channel sensor array. Our results showed that in the drawing condition, brain areas in the parietal and occipital regions showed Event Related Desynchronizing (ERD) activity in the theta/alpha range. These findings are consistent with existing literature and are often reported to provide an optimal background for learning. In the describe condition, beta/gamma range activity in the central and frontal regions could be observed, especially during the early stage of cognitive processing. Such activity is often associated with the involvement of higher cognitive, top-down processes and the creation of ideas. It was concluded that because of its obvious benefits for sensory-motor integration and learning, hand written note-taking is introduced back into the classroom. Sensorymotor information for the control of (pen) movement is picked-up via the senses and because of their involvement they leave a wider mark on establishing pathways in the brain resulting in neural activity that governs all higher levels of cognitive processing and learning. Therefore, rich sensory-motor experiences seem to facilitate learning. With several new stylus technologies available on the market today this may be the way to go to have an electronic record of one's notes, while also having the benefit of being able to integrate the information as it comes in via the senses and is subsequently processed in the various parts of the brain through movement.
Towards Coherent Single-Document Automatic Text Summarization: An Integer Linear Programming-based Approach

Due to the constant expansion of the Internet, the amount of data and textual documents has grown exponentially in recent years. The task of extracting information efficiently from such a huge source of information is therefore challenging. In this context, Automatic Text Summarization (ATS) appears as a viable solution to help reducing the time needed to find relevant information in textual documents. ATS can be defined as the process of creating a short version of one or more documents, but retaining the most important information of the original documents. The literature on ATS is vast and diverse, and recent approaches based on optimization methods have been gaining importance because of the good performance achieved. In this approach, the summarization process is defined as a coverage maximization problem, i.e., selecting the smallest subset of the sentences of one or more documents that maximizes the coverage of relevant information, while imposing a set of certain constraints. Most of the current approaches to ATS apply a single method of summarization for all input documents. In this paper, it is proposed an unsupervised method of extractive single-document summarization using Integer Linear Programming (ILP) and a Graph-based algorithm that takes into account both the importance and the local coherence of the sentences. The documents to be summarized are represented by a bipartite entity graph consisting of a set of nodes denoting both sentences and entities of the documents. After that, the sentences are ranked according to a proposed measure of relevance based on a weighing method of the concepts that are optimized using ILP. The proposed solution was implemented and evaluated on two well-known single-document benchmark datasets: DUC 2001 and 2002 using automatic evaluation metrics. In addition, it was conducted a preliminary human evaluation in order to assess the level of cohesiveness of the generated summaries. The proposed system achieved competitive results compared to other state-of-the-art systems on the above datasets. The results are very encouraging. Moreover, the proposed summarization system achieved the best results in terms of the coverage R-1 ROUGE measure on the DUC 2001 dataset.
Compost Teas for the Suppression of Gummy Stem Blight (Didymella byroniae) in Greenhouse Cucumbers

Five vermicompost teas (four aerobic and one anaerobic) were tested for their ability to suppress gummy stem blight in conventionally and organically grown greenhouse cucumbers. Three aerobic teas were amended with clove, thyme or Japanese knott weed (JKW) while two were left un-amended. The fluorescent (Pseudomonas) and total microbial densities and physiological activities of all compost teas were determined. Teas containing clove, thyme and JKW had significantly higher fluorescent bacterial counts than un-amended teas. Aeration also enhanced fluorescent bacterial density. Total bacterial population density was greatest in clover -containing aerobic tea. However, physiological activity was lower in clove containing tea than in un-amended aerobic tea or aerobic tea amended with thyme. An in vitro plate test showed a significant reduction in the mycelia growth of D. byroniae on media containing clove, thyme or JKW. D. byroniae was completely inhibited when media contained 0.03 g/l clove. In conventionally grown cucumbers, lengths of stem lesions caused by D. byroniae were significantly reduced by all aerobic teas. Shortest stem lesion length was observed in plants treated with clove containing tea. The average lesion length in the control treatment for conventionally grown cucumber was 123 mm whereas that for organically grown cucumber was 77 mm. Stem lesion length did not differ significantly from the control in organically grown cucumber with respect to different compost tea treatments. In both conventionally and organically grown cucumbers, clove-amended teas resulted in the shortest stem lesions. Clove, because of its ability to suppress mycelial growth and enhance populations of fluorescent Pseudomonas, should be considered as a standard additive to compost teas, particularly those aimed at suppressing fungal pathogens. _____________________________________________________________________________________________________________
Achieving Predictable Execution in COTS-based Embedded Systems

Building safety-critical real-time systems out of inexpensive, non-real-time, Commercial Off-the-Shelf (COTS) components is challenging. Although COTS components generally offer high performance, they can occasionally incur significant timing spikes. To prevent this, we propose controlling the operating point of shared resources, for example main memory, to maintain it below its saturation limit. This is necessary because the low-level arbiters of these shared resources are not typically designed to provide real-time guarantees. Here, we discuss a novel system execution model, the PRedictable Execution Model (PREM), which, in contrast to the standard COTS execution model, coschedules, at a high level, components in the system which may access main memory, such as CPUs and I/O peripherals. To enforce predictable, system-wide execution, we argue that realtime embedded applications should be compiled according to a new set of rules dictated by PREM. To experimentally validate the proposed theory, we developed a COTS-based PREM testbed and modified the LLVM Compiler Infrastructure to produce PREM-compatible executables. I. PREDICTABLE EXECUTION MODEL (PREM) Building computer systems out of commercial off-the-shelf (COTS) components, as opposed to custom-designed parts, typically improves time-to-market, reduces system cost, while providing generally better performance. For real-time systems, however, one hurdle in the way of using COTS is transient timing spikes which may occur when there is contention for shared resources. The low-level arbiter of shared resources in a COTS system typically does not have a mechanism to deal with the timeliness aspects of incoming requests, which may end up delaying more critical tasks, causing an unintended and undesirable priority inversion. The PRedictable Execution Model (PREM) [1], in contrast to the standard COTS execution model, coschedules at a high level all active components in the system, such as CPU cores and I/O peripherals. Briefly, the key idea is to control when active components access shared resources so that contention for accessing shared resources is implicitly resolved by the high-level coscheduler without relying on low-level, non-realtime arbiters. Here, we specifically focus our attention on contention at the level of the interconnect and main memory. "#$%&'()*"#+*,&-#. */#0123&456&7&-#8/&,9'3:;9-931# 8/&,9'3:;-&#&%&'()*"#9"3&/7:-2#
Transcriptome Analysis of Milkfish after Exposure to Aeromonas hydrophila using Next-generation Sequencing

Milkfish is a major finfish product of the Philippines. But because the whole genome sequence of milkfish is still unknown, it is difficult to study the different molecular pathways involved in milkfish after bacterial exposure. Here, transcriptomic analyses by next-generation sequencing (NGS) were used to identify gene expression in milkfish liver after exposure to bacterial antigens from inactivated A. hydrophila. Obtained reads per individual were assembled de novo and fragments per kilobyte of exon per million mapped reads (FPKM) were measured to identify overall gene expression. Differential expression (DE) was analyzed by Cufflinks-Cuffdiff software. Gene ontology (GO) overrepresentation analysis revealed that milkfish exposed to A. hydrophila altered expression of genes involved in immune response pathways such as T cell and B cell signaling. The most differentially regulated genes include histamine n-methyltransferase (hnmt), nicotinamide phosphoribosyltransferase b (namptb), poliovirus receptor-related 2 like precursor (pvrl2), and the hepcidin antimicrobial peptide 1 – which are all involved in immunity. Overall, the study showed that milkfish liver contains immune-related genes that respond to bacterial antigens.
Leveraging Emotion Features in News Recommendations

Online news reading has become very popular as the web provides access to news articles from millions of sources around the world. As a specific application domain, news recommender systems aim to give the most relevant news article recommendations to users according to their personal interests and preferences. Recently, a family of models has emerged that aims to improve recommendations by adapting to the contextual situation of users. These models provide the premise of being more accurate as they are tailored to satisfy the continuously changing needs of users. However, little attention has been paid to the emotional context and its potential on improving the accuracy of news recommendations. The main objective of this paper is to investigate whether, how and to what extent emotion features can improve recommendations. Towards that end, we derive a large number of emotion features that can be attributed to both items and users in the domain of news. Then, we devise state-of-the-art emotion-aware recommendation models by systematically leveraging these features. We conducted a thorough experimental evaluation on a real dataset coming from news domain. Our results demonstrate that the proposed models outperform state-of-the-art non-emotion-based recommendation models. Our study provides evidence of the usefulness of the emotion features at large, as well as the feasibility of our approach on incorporating them to existing models to improve recommendations.
EvoEvo Project Deliverable 1.2 FP7-ICT FET Proactive EVLIT program Analysis of robustness in TEV and E. coli strains

Due date: M20 (July 2015) Person in charge: D. Schneider Partner in charge: UJF Workpackage: WP1 (Experimental observation of EvoEvo in action) Deliverable description: Analysis of robustness in TEV and E. coli: identification of molecular bases in both viral and bacterial models; end of identification of combinations strainsenvironments affecting bacterial robustness; relationship between gene order, genome architecture and bacterial physiology.
Rhesus macaque eradication to restore the ecological integrity of Desecheo National Wildlife Refuge , Puerto Rico

A non-native introduced population of rhesus macaques (Macaca mulatta) was targeted for removal from Desecheo Island (117 ha), Puerto Rico. Macaques were introduced in 1966 and contributed to several plant and animal extirpations. Since their release, three eradication campaigns were unsuccessful at removing the population; a fourth campaign that addressed potential causes for previous failures was declared successful in 2017. Key attributes that led to the success of this campaign included a robust partnership, adequate funding, and skilled fi eld staff with a strong eradication ethic that followed a plan based on eradication theory. Furthermore, the incorporation of modern technology including strategic use of remote camera traps, monitoring of radio-collared Judas animals, night hunting with night vision and thermal rifl e scopes, and the use of high-power semi-automatic fi rearms made eradication feasible due to an increase in the probability of detection and likelihood of removal. Precision shooting and trapping were the primary methods used throughout the campaign. Long-term monitoring using camera traps and observed sign guided a management strategy that adapted over time in response to population density and structure. Lessons learnt include, 1) macaques quickly adjusted their behaviour in response to human presence and removal methods, 2) camera traps and thermal scopes provided high detection likelihood compared to other methods, and 3) the use of Judas animals and night hunting with thermal and night vision rifl e-scopes facilitated removals. The removal of macaques from Desecheo Island appears to be the fi rst introduced non-hominid primate eradication from an island.
Impact of Terrorism on Tourism in India

This present study empirically examines the impact of terrorism activities on inbound tourism and foreign exchange earnings from tourism in India using annual data covering period 1980-2011. The empirical estimates based on an ARDL approach show that, there exists an inverse relation between terrorism activity and foreign tourist arrival in India. Similarly, there exists a positive relationship between economic development (proxied by per capita income) and tourist arrival in India. For robustness check we have included physical development indicators such as fixed telephone subscriptions (per 100 people) and railway line (total route-km). Railway infrastructure shows a positive and significant impact on foreign tourist arrivals and foreign exchange earnings in India.The findings of the study suggest that, Government should invest more in the tourism sector, which would help in generating more employment and foreign exchange earnings. Further, the empirical results also suggest that the measures adopted by the Government of India such as bringing 150 countries under the ambit of Visa-On-Arrival as well as increasing FDI in the sector will go a long way in stepping up inbound tourist arrivals and consequently boosting foreign exchange earnings as well. Additionally, the Government must also work to improve the tourism infrastructure and provide a greater sense of security for tourists, particularly women, among other things. We would like to thank Prof B. N. Goldar and two anonymous referees for giving their valuable suggestions and comments. Special thanks are also due for Shri. Shailesh Kumar, Deputy Director, Ministry of Tourism, Government of India for facilitating the process of data collection. This paper is to be presented at 10th Delhi School of Economics (DSE) Annual Conference, Winter School to be held from December 14-16 , 2015 and 52nd Annual Conference of The Indian Econometric Society to be held from January 4-6, 2016. Any remaining errors are ours. Contact Details: Yashobanta Parida (yashparida@gmail.com), Parul Bhardwaj (parulbhardwaj2708@gmail.com), Joyita Roy Chowdhury (joyita.rc2006@gmail.com) Citation: Yashobanta Parida and Parul Bhardwaj and Joyita Roy Chowdhury, (2015) ''Impact of Terrorism on Tourism in India'', Economics Bulletin, Volume 35, Issue 4, pages 2543-2557 Contact: Yashobanta Parida yashparida@gmail.com, Parul Bhardwaj parulbhardwaj2708@gmail.com, Joyita Roy Chowdhury joyita.rc2006@gmail.com. Submitted: September 07, 2015. Published: December 13, 2015. Submission Number: EB-15-00592 Impact of Terrorism on Tourism in India Yashobanta Parida PhD Scholar,Jawaharlal Nehru University & Institute of Economic Growth Parul Bhardwaj Joyita Roy Chowdhury PhD Scholar,University of Delhi & Institute of Economic Growth PhD Scholar,Department of Economics, University of Utah
Aspects of uptake, use and effectiveness of eHealth interventions for self-management support and patient-provider communication

Background: Despite evidence of benefits, integration of patient-centered communication in clinical practice is challenging. Interactive tailored patient assessment (ITPA) tools can contribute to a more patient-centered care approach. However, little research has examined the impact of such tools on nursing care once they have been implemented. Objective: To explore nurses’ experiences of the benefits of and barriers to using an ITPA called Choice, in cancer care one year after its implementation. Methods: This investigation is a part of a larger study examining the use of Choice in cancer care. Four focus group interviews were conducted with 20 nurses experienced in using the Choice application. The data were analyzed using qualitative content analysis. Results: Three themes and nine sub-themes emerged: (1) “Choice as facilitator for shared understanding and engagement in patients’ own care,” with three sub-themes: preparing both patient and nurse for communication, shared engagement in care planning, and giving the patients a voice; (2) “enhancing the patients’ strengths,” with two sub-themes: releasing patient’s internal strengths and confirming “normalcy” for the patient; and (3) “new challenges for the nurse,” with four sub-themes: organizational challenges, interactions with technology, a need for training in communication skills, and new ethical challenges. Conclusions: Findings suggest that, from nurses’ perspectives, integration of ITPAs such as Choice in clinical practice offers many benefits that can contribute to patient-centered care. However, to reap these benefits, use of such tools must receive equal priority as other routines, and require sufficient time, space and competence. Choice also challenged nurses’ professional roles and created dilemmas such as nurses’ ambivalence regarding patients’ levels of disclosure of sensitive issues and the nurses’ ability to respond to them. Although patient-centered care is advocated as model for good clinical practice, this is not always internalized. Tools such as Choice may help to make such a shift happen. ∗ Corresponding author at: Centre for Shared Decision Making and Colla 424 Oslo, Norway. Tel. : +47 23 07 54 5; fax: +47 23 07 54 50. E-mail address: Elin.borosund@rr-research.no (E. Borosund). 386-5056/$ – see front matter © 2013 Elsevier Ireland Ltd. All rights res ttp://dx.doi. org/10.1016/j.ijmedinf. 2013.10. 010 © 2013 Elsevier Ireland Ltd. All rights reserved. borative Care Research, Oslo University Hospital, Pb 4950 Nydalen,