Miracle-dz/UniFAR-FTUs huggingface dataset:
Protease Biosensors Based on Peptide-Nanocellulose Conjugates: From Molecular Design to Dressing Interface

C l i n M e d International Library Citation: Edwards JV, Fontenot KR, Prevost NT, Haldane D, Pircher N, et al. (2016) Protease Biosensors Based on Peptide-Nanocellulose Conjugates: From Molecular Design to Dressing Interface. Int J Med Nano Res 3:018 Received: March 02, 2016: Accepted: August 16, 2016: Published: August 19, 2016 Copyright: © 2016 Edwards JV, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Volume 3 | Issue 1
The impacts of team counseling education on self-care abilities of patients with ulcerative colitis

Objective To explore the impacts of the team counseling education on self-care abilities of patients with ulcerative colitis.Methods One-hundred and six cases of patients with ulcerative colitis were selected and randomly divided into intervention group and control group.Both groups received regular health education,on this basis intervention group accepted the intervention of team counseling education of self-care abilities.The intervention continued for six months.The scores of self-care abilities and quality of life of the two groups of patients were observed after the intervention and six months later.Results The self-care abilities and the quality of life of intervention group were significantly higher than the control group at both times(P0.001). Conclusion Team counseling education can improve the self-care abilities and quality of life of patients with ulcerative colitis.
Attention-based BLSTM-CRF Architecture for Mongolian Named Entity Recognition

Adding external information from unlabeled data to Named Entity Recognition task is the direction of research for solving the scarcity of labeled data. In this issue, adding pre-trained context embeddings as external information from language model is the state-of-the-art technology. However, it has combined external information to the model with simple concatenation, which assumed the same contribution of both internal and external information. While with the use of pre-trained language models, model parameters were not be updated during the iterative process of named entity recognition model. The language model cannot fully capture the semantic and syntactic roles of the contextual words in the labeled data. In view of that case, this paper proposed an improved approach by using pre-trained context embeddings based on attention mechanism. The attention mechanism layer can dynamically balance the difference between the internal information learned from bidirectional Long Short-term Memory model and external information from neural language model. Experimental results have shown that our model has achieved substantial improvement over previous one in Mongolian Named Entity Recognition task.
Integrating data quality requirements to citizen science application design

Data quality is an important aspect in many fields. In citizen science application databases, data quality is often found lacking, which is why there needs to be a method of integrating data quality into the design. This paper tackles the problem by dividing data quality into separate characteristics according to the ISO / IEC 25012 standard. These characteristics are integrated into a conceptual model of the system and data model for citizen science applications. Furthermore, the paper describes a way to measure data quality using the data quality characteristics. The models and measuring methods are theoretical and can be adapted into case specific designs.
Towards Operational Technology Monitoring in Intelligent Transportation Systems: Key Challenges and Research Roadmap

Efficient and safe operation of Intelligent Transportation Systems (ITS) has significant impact on the life of citizens and economies. A wide range of technologies, aka. Operational Technologies (OT) (e.g., sensors, actuators or network routers), are employed for monitoring and controlling the operation of ITS, being, due to the convergence with Information Technology (IT), more and more based on the Internet-of-Things (IoT) paradigm. Monitoring the service quality of OT, i.e., Operational Technology Monitoring (OTM), is a crucial prerequisite for ensuring efficient and safe operation. OTM from an industry perspective, however, faces some challenges, which are, despite their importance for ITS operators, not sufficiently addressed by now. In this realm, the contribution of this paper is threefold: Firstly, aiming at gaining insight into the state of practice of OTM in ITS, we discuss OTM based on an exemplary scenario of a national highway network and identify three key challenges, namely (1) interoperability, (2) service quality monitoring, and (3) evolution of OT. Secondly, in order to address these challenges, we identify promising lines of research relevant for OTM. Thirdly, based thereupon, we sketch out a research roadmap striving towards the vision of an evolution-aware semantic framework enhancing OTM in ITS.
Gentrification through Green Regeneration? Analyzing the Interaction between Inner-City Green Space Development and Neighborhood Change in the Context of Regrowth: The Case of Lene-Voigt-Park in Leipzig, Eastern Germany

Green regeneration has become a common strategy for improving quality of life in disadvantaged neighborhoods in shrinking cities. The role and function of new green spaces may change, however, when cities experience new growth. Set against this context, this paper analyzes a case study, the Lene-Voigt-Park in Leipzig, which was established on a former brownfield site. Using a combination of methods which include an analysis of housing advertisements and interviews, the paper explores the changing role of the park in the context of urban regeneration after the city’s turn from shrinkage towards new growth. It discusses whether the concept of green gentrification may help to explain this role. As a result of our analysis, we argue that Lene-Voigt-Park has indeed operated as a trigger for structural, social, and symbolic upgrades in the growing city of Leipzig, but only in combination with real estate market developments, which are the main drivers of change. The concept of green gentrification does help to better understand the role of different factors—first and foremost that of green space. We also discovered some specifics of our case that may enrich the green gentrification debate. Leipzig serves as an example for a number of regrowing cities across Europe where green gentrification might represent a challenge.
Anti-Leakage Client-Side Deduplication with Ownership Management in Fog Computing

In commercial fog computing, block-level client-side deduplication (BC-Dedu) can be used to save storage space and network bandwidth. However, the existing BC-Dedu schemes cannot support ownership management, which leads to the degradation of forward and backward secrecy of the outsourced data. Besides, BC-Dedu schemes are vulnerable to the side information leakage issue since the existence of data is revealed to the outside adversary. In this paper, we propose an anti-leakage BC-Dedu scheme that supports ownership management in fog computing. Speciﬁcally, we present a dual-level ownership list and key update mechanism to achieve ownership management in the proposed scheme. Besides, we construct a novel deduplication protocol to alleviate the side information leakage issue. Furthermore, a dynamic data storage strategy is proposed to reduce service costs and latency. Security and performance analyses demonstrate that the proposed scheme achieves the desired security requirements while saving resource eﬃciently.
E®ect of pneumatic compression therapy on lymph movement in lymphedema-a®ected extremities, as assessed by near-infrared °uorescence lymphatic imaging

Previous studies have shown cost e®ectiveness and quality-of-life bene ̄t of pneumatic compression therapy (PCT) for lymphedema (LE). Insurers, such as the Centers for Medicare/Medicaid (CMS), however, desire visual proof that PCT moves lymph. Near-infrared °uorescence lymphatic imaging (NIRFLI) was used to visualize lymphatic anatomy and function in four subjects with primary and cancer treatment-related LE of the lower extremities before, during, and after PCT. Optically transparent and windowed PCT garments allowed visualization of lymph movement during single, 1 h PCT treatment sessions. Visualization revealed signi ̄cant extravascular and lymphatic vascular movement of intradermally injected dye in all subjects. In one subject with su±cient patent lymphatic vessels to allow quanti ̄cation of lymph pumping velocities and frequencies, these values were signi ̄cantly increased during and after PCT as compared to pre-treatment values. Lymphatic contractile activity in patent lymphatic vessels occurred in concert with the sequential cycling of PCT. Direct visualization revealed increased lymphatic function, during and after PCT therapy, in all LE-a®ected extremities. Further studies are warranted to assess the e®ects of PCT pressure and sequences on lymph uptake and movement.
Knowledge Digest for IT Community

The modern day methods used to record as well as share patient related data are deeply flawed. These shortcomings limit the amount of access patients have to their clinical records, reduce availability of essential data to healthcare providers, and thus stand as an obstacle in creating the ideal health care system. Storing crucial patient related data on a Blockchain can help overcome the shortcomings posed by the current model. This paper explores the application of Blockchain as a novel approach to secure storage of patient data, facilitate its secure sharing and revolutionize the health care industry. KeywordsBlockchain; healthcare; data;
Conflict Detection in Linguistically Diverse On-line Social Networks: A Russia-Ukraine Case Study

On-line conflict can lead to and manifest itself in real-time emotional distress and radical behaviour. Whilst the topics are diverse, one of the most challenging and relatively under-explored topics is in real conflict landscapes. Many such places have high ethnolinguistic diversity with multiple principal and hybrid language groups. Here, we examine how on-line social network debates unfold for the recent Russian intervention in Ukraine. We use Natural Language Processing (NLP) to map the evolving Reddit social network, showing rich structural and sentiment signal evolution. Whilst relatively straightforward for well-resourced languages, NLP tasks for ethno-linguistic fictionalised areas with 22 languages including various lingua franca is challenging, and require proprietary methods. Yet, it is in this linguistic and real-world landscape that we uncover politically sensitive posts. We demonstrate how we can extract clear topic groups, echo chambers, and create the data that will enable us to track the sentiment of users and the role they play both within and between echo chambers.
Data Confidentiality and Information Credibility in On-line Ecosystems

Recent ICTs paradigms such as cloud computing, data outsourcing, digital data markets, and the spread of multiple social media based on Web 2.0 technologies, facilitate the exchange of large data and information flows among a myriad of interconnected devices and users, for different aims and purposes. This complex scenario underlies the development of on-line ecosystems of interacting entities, where the concepts of community, self-organization, evolution and knowledge are fundamental. While the benefits connected to such kind of ecosystems are intuitive also to the everyday man, no lunch comes for free, and such a complex and interconnected scenario entails a number of issues connected to both data and information generation and diffusion that should be carefully addressed. For example, in the data sharing context, genuine data could be manipulated, tampered with, accessed without permission, breached, or improperly disclosed; in the Social Web context, low-quality data and/or misinformation could be diffused. With respect to the above-mentioned issues, in this paper we survey some of the possible approaches proposed in the literature for ensuring adequate data protection, with particular reference to data confidentiality, and for assessing information credibility in complex on-line environments. We also provide a conclusive discussion aimed at illustrating the importance of relating these concepts.
Packet Watermarking With ECG Biological Feature

In this paper we proposed a novel security authentication mechanism, which is a secure authentication mechanism for network transmission with an ECG biological feature. The theory of this authentication mechanism can be applied within various network identiﬁcation and authentication systems. In addition, the algorithm needs to strengthen the safety and performance for watermarking. In addition, experimentation on the packet watermarking of ECG is conducted. The criteria has two parameters, one is the SNR (signal-to-noise ratio) and the other is BER, to evaluate the overall performance. Not only that, we have also considered noise attack. According to our obtained results, our algorithm has proven to be robust, and it thus worth considering in the application.
Structure and Content based Community Detection in Evolving Social Networks

Research has focused on exploring communities in evolving social networks where rapid changes occur continuously. Most community detection approaches rely only on network structure ignoring its content and thus valuable information. We propose a community detection algorithm that exploits both content and structure so as to form more thematically cohesive communities. In particular, we extend a fast incremental structural community detection algorithm in order to take into consideration the content of the network at each step and detect evolving, overlapping communities. We compare the proposed algorithm against the original one and show that it discovers more cohesive communities through time.
Effects of Fine Bagasse Ash on the Workability and Compressive Strength of Mortars

There are various kinds of agricultural waste ashes throughout the industrial processes in Thailand such as sugar cane bagasse ash (SCBA), rice husk ash, oil palm ash etc. They are currently exploited as pozzolanic materials and supplements to improve the compressive strength in terms of microstructures of cement by partly replacement of cement with them. One of their advantages is to decrease CO2 gas emission from decreasing consumption of cement in either mortar or concrete production. Appropriate ratio of replacing clinker by fine (<45 micron) SCBA and w/c ratio as well as effects of SCBA on properties of cement are being studied in this research. Initially, clinker and SCBA proportion were designed by replacing clinker with the amount of SCBA at 0, 20 and 40%, respectively, whereas gypsum was constant added. Specimens were casted as cement mortars and pastes and, finally, analyzed for compressive strength, flow ability, chemical composition and microstructure according to curing ages of 3, 7 and 28 days. Their properties were carried out and compared with the results of commercial type I Portland cement. These test results indicated that replacing clinker with 20% SCBA was appropriate for production in laboratory scale and w/c ratio of 0.735 is suitable on workability of the resultant cement.
ON INERTIA AND STIFFNESS EFFECTS DURING IMPACT DOCKING

Space debris removal and mitigation using space robots are complex missions, which require extensive analysis prior to launch. An important aspect during such a mission is the capturing task; any unsuccessful attempt may create more problems than solve. In this paper, the modelling of the impact docking between two multibody systems is studied. The effects of mass ratios on the resulting changes of relative velocities are analysed and discussed. An extension of the rigid body impact theory to multibody systems is developed, where the effect of system mass ratios to the change of the relative velocities is quantified, and its significance is discussed. Velocity requirements leading to a successful latching at first impact will be identified. Simulation results are presented that validate the proposed analytical approach. Future work is discussed.
AUTOMATSKA DETEKCIJA STAVKI MENIJA UNUTAR TEKSTOVA RECENZIJA RESTORANA

Cilj ovog istraživanja jeste prezentova­nje jednog pristupa za detekciju stavki menija unutar tekstova recenzija restorana. Nekoliko modela mašinskog i dubokog učenja istrenirano je da detektuje pominjanja hrane unutar recenzija restorana. Nakon toga, nekoliko algoritama poklapanja stringova primenjeno je kako bi se pominjanja hrane uparila sa odgovarajućim stavkama menija. Podaci su prikupljeni sa sajta Donesi.com i ručno anotirani. Svi upotrebljeni modeli i algoritmi su evaluirani.
Engineered zeolitic materials : synthesis and application

V TABLE OF CONTENT . VII LIST OF TABLES . XII LIST OF FIGURES . XIII LIST OF SCHEMES . XX ABBREVIATIONS . XXI ACKNOWLEDGMENTS . XXIV FOREWORD . XXV CHAPTER 1 STATE-OF-THE-ART . 1 1.
Expression of OCT-4 in lung cancer and its clinical significance

Objective:To investigate the expression of OCT-4 as a stem cell marker in lung cancer tissues and its clincal significance.Methods: From 2003-2006,40 paraffin samples of lung cancer tissues were obtained,and the expression of OCT-4 was examined by immunohistochemical staining.Normal tissues adjacent to lung cancer and 10 normal lung tissues were used as controls.The clincopathological data of 40 lung cancer patients and their relationship with the expression of OCT-4 were retrospectively analysed.All 40 patients were followed for 3 years to investigate the metastatic conditions.Westernblot was used to detect the expression of OCT-4 between lung adenocarcinoma and squamous carcinoma.Results: The positive expression rate of OCT-4 in lung cancer tissues was 37.5%,significantly higher than that of normal tissues adjacent to normal lung tissues(0%). The expression of OCT-4 was positively correlated to the clinical stage of lung cancer.The 3-year relapse rate in lung cancer with OCT-4 positive expression was higher than that in lung cancer with OCT-4 negative expression.Westernblot results showed the expression of OCT-4 in lung adenocarcinoma was higher than that in squamous carcinoma.Conclusion: The expression of OCT-4 is correlated with the clinical stage and the metastasis of lung cancer.It could be a potential prognostic marker for the patients with lung cancer.
A microgravity experimental method for single-phase electrorheological effect study

The study of single-phase solid ER “fluids” is considered as a branch of study of ER fluids. Due to the study of single-phase solid ER “fluids” faces many extreme difficulties, such as single-phase solid ER particles cannot form suspensions in gravity environment. Comparing to the study of two-phase ER fluids, it is relatively under-developed in both scientific and applied fronts. In this thesis, a microgravity experimental method for single-phase ER fluids study is introduced. This high sensitive electrorheological experimental setup is designed particularly for singlephase ER fluids drop tube microgravity experiment. We have successfully fabricated the experimental setup and tested the system with drop tube experiments. This experimental setup consists of a microgravity electro-rheometer, an imaging system, an experimental controller and the supporting parts. 100 microns glass particles are selected as ER material for the test experiment of the experimental setup. It is now proven that the experimental setup could work functionally and stably for repetitive
The safety and efficacy of aricept in patients with Alzheimer disease

Objective To assess the efficacy and safety of aricept in treatment of mild to moderate Alzheimer disease(AD). Methods 188 patients with AD were followed up in a multicentre,with randomized study for 12 weeks. 89 patients had a single -blind,placebo-controlled trial and 99 a self-matched trial.Results The results of randomized single-blind,placebo-controlled trial showed that the improvements in MMSE、CDR and ADL were statistically significantly greater with aricept 5 mg/d than with placebo(P value respectively 0.01,0.05,0.01). The results of multicenter,self-matched trial showing a remarkable improvement in MMSE、CDR and ADL were respectively 3.5,0.6 and 7.1 points(P0.01,0.05,0.01)by using aricept 5 mg/d for 12 w,as compared to untreated patients. The score in MMSE was increased for 4 w ( P0.05 ). There are 7 patients (4.8%) showing side-effect in 145 cases with aricept,and 2 (4.7%) in 43 with placebo had dizziness and nausea (P0.05). Conclusion Aricept is effective in treating patients with mild to moderate AD. It could produce improvements in cognition and ability of daily life. Aricept was well tolerated and safe.
An evaluation of web-based education material about breastfeeding and breast milk

Purpose: To evaluate designs of the websites about human milk and breastfeeding and the readability of the education material on these websites. Materials and methods:This is a descriptive study. The key words “breast milk” and “breastfeeding” were used to identify the relevant websites on Google in January 2014. A total of 24 websites and 235 pieces of education material were evaluated. Data were evaluated by using numbers and percentages and readability was evaluated with SMOG readability analysis (SMOG), Flesch Reading Ease and Readability Value for Turkish. Results: The readability degree was moderate in 66.6% of the websites examined. The mean score obtained by using SMOG readability formula was 12.61±1.02, ranging from 10.92 to 14.76, which shows that the education material examined was appropriate for the 12th grade. The mean score for Flesch Readability Ease was 37.09±9.04, ranging from 18.26 to 52.95, which indicates that the material was appropriate for 13th-16th grade. The mean Turkish readability score was 9.74±1.69, ranging from 6.90 and 13.02, which shows that the material was appropriate for the 10th graders. Conclusion: The websites about breastfeeding was found to be moderately difficult to read and according to the readability formulas, the readability of the websites was considerably higher than the recommended grade -6th grade. Pam Med J 2015;8(1):45-50
The Importance of Soft Skills for Accounting Students in Malaysia

This study empirically examines the importance of soft skills for accounting students in Malaysia. Survey questionnaires were distributed to 450 accounting students and practitioners. The total usable response rate for this study is 50.9%. The data were analysed using descriptive statistics including mean score, standard deviation, and ranking based on mean scores. The study found that the top three reasons for the importance of accounting graduates to acquire soft skills are ‘to provide high quality and professional services’, ‘to fulfil the expectation of employers’ and ‘to have better career prospects’. The findings imply that accounting students need to realize the importance of acquiring soft skills and actively equip themselves with soft skills demanded by the profession. The present study contributes to existing literature by offering empirical evidence on the importance of soft skills for future accountants, which is currently scarce.