Miracle-dz/UniFAR-FTUs huggingface dataset:
Anaerobic Biodegradation of Long Chain Fatty Acids Biomethanisation of biomass-associated LCFA as a challenge for the anaerobic treatment of effluents with high lipid/LCFA content

The maximum potential methane production of sludge samples taken during the operation of two EGSB reactors fed with increasing oleic acid concentrations between 2 and 8 g COD/l (HRT=1 day), was studied in batch assays. RI was inoculated with granular sludge and RII with suspended sludge. After removing the residual (soluble) substrate, the loaded sludge was incubated in batch vials without any added carbon source. A maximum methane production rate of 434±60 mg CODCH4/(gVSS.day) was obtained for the suspended sludge taken on day 70, when oleate, at a concentration of 2 g COD/l, was fed with skim milk as co-substrate (50% COD). The maximum plateau achieved in the methane production curve, considered as an indirect measurement of the amount of accumulated LCFA, was 3272±877 mg COD-CH4/gVSS, obtained for the suspended sludge taken on day 162, when oleate was fed as the sole carbon source at 6 g COD/l. The methanisation rate of the accumulated (biomass-associated) LCFA was enhanced under stirring conditions and was inhibited by adding oleic acid. Extraction and gas chromatography analysis confirmed that the main accumulated LCFA was palmitate, and not oleate. Palmitate accumulated onto the sludge and further β-oxidation was inhibited when in presence of oleic acid. If oleic acid was removed from the medium β-oxidation proceeded with methane production. The maximum accumulated palmitate and the rate of methane production were highly dependent on biomass structure, suspended sludge being more efficient than granular sludge for that purpose. The results presented in this Chapter therefore suggest that, in order to enhance methane production, it would be advantageous to sequence cycles of adsorption/accumulation and degradation, when treating effluents with high lipid/LCFA content. _________________________________________________________________________ Methanisation of LCFA accumulated onto anaerobic sludge loaded with oleic acid Introduction 2
Pearl Harbor Biological Survey

Abstract : As part of the Navy's Environmental Protection Program, a detailed biological survey of Pearl Harbor was conducted by the Naval Undersea Center. At the time the survey commenced (fall 1971), little was known about the living marine resources of that harbor. During the next year and a half, an inventory of marine forms was produced which included a checklist of 393 positively identified species together with maps of the distribution of potential bio- indicator species within the harbor. The effort brought biological knowledge of Pearl Harbor to a par with that of Kaneohe Bay which has been studied by the University of Hawaii for many years. In addition to the basic field work, an efficient analytical procedure was developed for the processing, interpretation and display of the large amounts of data, both biological and physicochemical, obtained on environmental surveys.
Review of visible watermark’s influence on private information-related machine learning techniques

Under the increasing needs of sharing datasets and risks of leaking privacy during data sharing, there is growing attention of the owners of datasets to claim ownership and protect their privacy from being misused. To achieve this secure purpose, the visible watermark may be an effective way. However, due to the loss of visual information, it is still unclear the influence of these visible watermark methods on related machine learning techniques. To investigate these, this paper provides a review of visible watermark’s influence on private information-related machine learning techniques. This paper compared the performance of different CNN methods with or without visible watermarking. According to the results of the experiments, the accuracy of watermarked images’ identification decreased significantly. By average, the accuracy would decrease by 4.75%. And the performance changed when using different CNN structures, watermarked methods and datasets. After that, there are some experiments to explore the feasibility of using none-watermarked images trained network to identify the watermarked images. The results show that the accuracy of identification at least decreased by 25% when only one of the train set and test set are watermarked.
Age-related DGC structure and function in the F344/N X BN rat heart

Recent data has suggested that disruption of the dystrophin-glycoprotein complex (DGC) may be involved in mediating the progression of cardiac hypertrophy and failure. Here we examined the regulation of DGC proteins in the hearts of adult (6 months), aged (30 months), and very aged (36 months) F344/N X BN rats . Compared to adult animals, the content of αand β-dystroglycan were 6.93 ± 5.16% and 58.36 ± 3.64% higher, respectively (P < 0.05) in very aged animals. Immunoblotting and immunhistochemical analysis suggested that aging appeared to diminish alpha-sarcoglycan, beta-sarcoglycan and delta-sarcoglycan content by 13.89 ± 3.1%,15.8 ± 2.8% and 18.63 ± 3.04%, respectively (P < 0.05). These alterations in the DGC occurred coincident with ageassociated alterations in cytoplasmic anti-rat IgG immunoreactivity, TUNEL positive nuclei, alpha-fodrin cleavage, indices of caspase-3 activation and diminished AKT phosphoryation (Ser 308). Taken together, these data suggest that aging alters cardiac DGC structure and function.
Optimized Backhaul Planning for the Case of Small Cell Deployment in Addis Ababa Region of ethio telecom

Operators are deploying small cells to complement their macro cells to increase the coverage and capacity of their mobile networks. Backhauling the small cells traffic to the core network is a challenge to operators as they are usually placed in difficult to access locations. To overcome this challenge, wireless solutions have been proposed as a costeffective alternative to wired solutions. There are, however, many wireless technologies to realize this: point-to-point/point-to-multipoint, line-of-sight/non-line-of-sight (NLOS) and millimeter wave/microwave bands. This research studies practical wireless configurations of this technologies, and proposes a planning method an operator can determine which technology to use on each link of the small cell backhaul network so that the total cost of ownership (TCO) is minimized. To this end, a mixed integer linear programming (MILP) is formulated with a range of constraints for wireless technologies and backhaul requirements. To demonstrate the effectiveness of the method, the MILP was used to plan a small cell backhaul network for different scenarios, in a relatively built up area of Addis Ababa. The scenarios were created based on different small cell demands, and on whether NLOS links are allowed in the network. The path loss values were predicted by ray tracing to determine the feasibility of a link configuration of each technology between nodes of the backhaul network. The results showed the reduction of TCO by inclusion of more technologies as can be seen with the need for more new aggregation nodes when NLOS was not considered. By accepting an optimality gap of 5 %, the computation time was also reduced to less than two hours which is acceptable for the purpose of planning. Using this method, an operator can plan a cost-effective backhaul from available practical wireless technologies.
A COMPARISON OF THE EFFECTIVENESS OF HEALTH EDUCATION METHODS ON ANXIETY LEVELS AMONG PRE-CATARACT SURGERY PATIENTS IN CENTRAL JAVA, INDONESIA

Background: Not much is known about the impact of health education in reducing anxiety levels in pre-cataract surgery patients in Indonesia.Objective: The aim of this study was to compare the effectiveness of counseling and lecture methods using leaflet in reducing anxiety levels among pre-cataract surgery patients in Central Java, Indonesia.Methods: This was quasi experiment with pretest- posttest design with two comparative groups at two hospitals in November 2014. It was 70 preoperative cataract patients selected using total sampling, which 35 randomly assigned to intervention group 1 and intervention group 2. The Analog Anxiety Scale (AAS) was used to measure anxiety levels. Data were analyzed using paired t-test and independent t-test.Results: There was a significant effect of health education using counseling and lecture method with leaflet media in reducing anxiety levels among preoperative cataract patients (p=.001). A counseling method was more effective than lecture method in dealing with anxiety levels (p=.001). Conclusion: Findings of this study can be used as a basis for development of nursing intervention in the hospital setting to reduce the anxiety levels among pre-cataract surgery patients.
Cartographie fonctionnelle des macrophages porcins : expression des gènes et architecture nucléaire lors de l'activation par LPS-IFNg

Depuis les 15 dernieres annees, de nombreuses etudes ont mis en evidence le role majeur de l’architecture nucleaire dans la regulation de l’expression des genes et ceci dans une grande diversite de processus biologiques. Bien que la reponse immunitaire soit un de ces processus, peu de donnees existent sur l’organisation spatiale du genome dans les cellules immunitaires et son impact sur la regulation des genes dans le contexte d’une reponse a l’infection bacterienne. En utilisant le porc comme organisme modele, nous avons concentre notre etude sur les macrophages derives de monocytes, premieres lignes de defense contre les pathogenes. Les cellules immunitaires etant les cibles des mycotoxines, nous nous sommes egalement interesses aux effets de la toxine T-2 sur les macrophages et leur reponse induite par les recepteurs TLR. Un effet cytotoxique de la T-2 a une dose de 10 nM, ainsi que des effets inhibiteurs sur certaines reponses liees aux recepteurs TLR ont ete mis en evidence. Nous avons ensuite examine si les changements dans l'expression des genes dus a l'activation impliquent un repositionnement dans l'espace nucleaire. Une analyse du transcriptome a permis d’identifier les genes differentiellement exprimes dans les macrophages actives par le melange LPS-IFNγ et de mettre en evidence des reseaux de genes impliques lors de l’activation. Les 4 genes les plus sur-exprimes (IL1β, IL8, CXCL10 et TNFα) et les 4 genes les plus sous-exprimes (VIM, LGALS3, TUBA3 et IGF2) ont ete selectionnes pour analyser leur comportement dans l'espace nucleaire au cours de l’activation des macrophages en utilisant la technique FISH 3D. Parmi les 4 genes sur-exprimes, 3 presentent des modifications de leur position durant le processus d'activation alors que les 4 genes sous-exprimes ne montent pas de variation de leur position. L'analyse de la position des genes par rapport a leurs territoires chromosomiques (TC) a ete etendue a un second type de cellules immunitaires : les neutrophiles. Des resultats similaires ont ete obtenus. Les analyses ont ete ensuite completees par l'etude des 4 genes sur-exprimes dans un type cellulaire independant de la reponse immunitaire (fibroblastes). Nos donnees suggerent que les relocalisations dans l'espace nucleaire des genes differentiellement exprimes dans les cellules immunitaires activees sont gene specifique, type cellulaire specifique et concernent essentiellement ceux qui sont sur-exprimes.
Outcomes of Intravenous Thrombolysis After Dissemination of the Stroke Code and Designation of New Referral Hospitals in Catalonia

Background and Purpose—From 2006, the Stroke Code system operates throughout Catalonia with full coverage. The objective of this study was to determine safety and effectiveness of intravenous thrombolysis in routine practice through a monitored study (Catalan Stroke Code and Thrombolysis [Cat-SCT]) and to assess outcomes according to hospitals' previous experience. Methods—We conducted a prospective, multicenter, observational, monitored study of recombinant tissue plasminogen activator-treated patients declared to the Cat-SCT by all treating hospitals in Catalonia (n=13, of which 6 were newly designated) over a 12-month period. Consecutive recruitment and quality of data were assured through comprehensive quality control. We estimated rates of outcome measures for the potential final sample (after inclusion of undeclared cases) and compared them with those reported for the actual sample. Symptomatic intracranial hemorrhage, mortality, and favorable outcome (modified Rankin Scale score 0 to 1) at 3 months.
A new WPAN Model for NS-3 simulator

Wireless sensor networks are one of the most challenging topics in research world due to the nature of the wireless communication and the constraints related to the sensor’s components. However, this field knows a very fast progress and new technologies are involved. One of the hottest trends of the future WSN is the I/WoT ‘Internet/Web of Things’. For the wireless medium access and radio transmission (MAC and PHY), I/WoT has chosen the IEEE 802.15. 4 standard. Some researchers have proposed simulation models to analyze this standard in different simulation environment. In this paper we propose a new WPAN model for the NS-3 simulator. This model implements most of the IEEE 802.15. 4 standard feature and modes of operations. Furthermore, a 6LoWPAN Model is used to incorporate the IEEE 802.15. 4 into the IPv6 architecture by interfacing the IPv6 model of NS-3 with our new IEEE 802.15. 4 standard model. Thus, we believe that this WPAN work can be seen as a foundation for future I/WoT simulation on NS-3.
Understanding Differences in Types of Opioid Prescriptions Across Time and Space: A Community-Level Analysis

For the better part of the 21st century, opioid abuse and related consequences have beleaguered the United States. Effectively fighting the crisis may require a better understanding of potential differences among the types of opioids available as treating them as one homogeneous group may mask emerging trends and conflate more benign ones with those more troubling. The purpose of our study is to investigate changes in prescribing patterns of four groups of opioids (hydrocodone, oxycodone, fentanyl, and other) and how community-level factors explain their variation over time. We use a census tract–level data set with population, concentrated disadvantage, and prescription drug monitoring payment variables to address our goals. Findings show disparate prescribing patterns among the four types of opioids and considerable differences in the community factors that predict their change. Implications for future research and interventions follow.
The influence of meaning and memory consolidation on novel word learning

ion of phonological form representations from episodic knowledge Enhanced declarative memory for new words, with semantic benefit under some circumstances Enhanced speeded access to new words 1 week Lexical competition emerges for both semantically associated and nonsemantic new words Continued enhancement of declarative memory for novel words Decrease in explicit knowledge of semantic associations Hippocampal representations to the strengthening and reorganisation of cortical representations Long-term Declarative memory benefit for words associated with a semantic benefit during training Declarative memory benefit for words consolidated prior to test (or with stronger initial learning) Ongoing memory changes can occur without lexicalization Figure 39. The time-course of word learning from the data reported in this thesis. 245 knowledge from encoding which underpins declarative memory may critically support lexicalization. 8.4. 1 Contributions of this thesis The contributions of this thesis can be summarised in four main points: 1. The provision of a systematic semantic association can benefit the learning of new phonological form representations, which remain stable following 24 hours of consolidation (Study 2). 2. The enhancement of explicit word knowledge and lexicalization may reflect separable aspects of word memory formation and consolidation (Study 3). 3. Whilst explicit word knowledge can constrain lexicalization (Study 4), good explicit knowledge is not a sufficient pre-requisite for lexicalization to occur (Study 3). The relationship between declarative memory and lexicalization may be influenced by the type of knowledge which supports declarative memory. 4. Acquiring well-specified phonological representations may be an important factor for lexicalization (Study 4), suggesting that the nature of encoding subserving learning may critically mediate how a new lexical representation is established. 8.4. 2 Future questions It is clear that fully-formed lexical representations in the real world require semantic information, and meaning is therefore a natural and crucial part of word learning. An important point to draw from the above conclusions is thus that an apparent meaning disadvantage (or lack of advantage) in lexicalization may be driven by how lexicalization is measured, and what the encoding of new words focuses on. One central question for future work thus concerns how the relationship between encoding and test impact upon the observed time-course of lexicalization for both meaningful and meaningless new words. This question could be tackled by incorporating multiple measures of lexical competition into a single experiment, such as pause detection and semantic categorisation. If it is the case that the observed lexicalization time-course is in part determined by the relationship between novel word encoding, and the way in which known word representations are drawn upon at later test, it would be predicted
Smart dunning to improve collection ratio in internet service provider using C4.5 algorithm

Collection Ratio (CR) is the ratio between the total payments of all customers to the total invoice in the current month. CR is also act as performance indicator of the payment collection division for internet service companies. One method that currently used to improve CR is dunning, namely providing customer with information about the bills with various communication methods including visiting the customer’s address. Large number of customers and limited number of collectors are the major obstacle in the dunning process. We propose a classification method to predict potential delinquent customers, so that the expected accuracy of dunning increases, which in turn increases the company’s collection ratio. We use the decision tree method with the C4.5 algorithm on the historical data from one internet service provider customers in the Riau Islands province, Indonesia. The classification process produces a decision tree with 5, 885 leaves and 6, 765 tree size. The decision tree then evaluated with 10-folds cross validation that resulting in 78.54 percent accuracy, 0.738 precision, and 0.785 recall. The decision tree has been applied to the dunning process of the company.
Procedural modeling as a practical technique for 3D assessment in urban design via CityEngine

This paper examines procedural modeling as a tool for 3D modeling creation. Procedural modeling historically has been used for 3D visualization of natural features, but with the release of the software CityEngine in 2008, the technology can easily be adopted also in problem domains dealing with urban environments.Then, we will examine and compare two types of modeling, traditional and procedural modeling and consider the advantages of procedural modeling. furthermore, reviewed the features of CityEngine software and introduced CityEngine as a software application that uses the procedural modeling system.Procedural modeling deals with (semi-)automatic content generation by means of a program or procedure. We survey procedural methods that are useful to design roads, buildings, and entire cities. In this survey, we focus particularly on the degree of the use of procedural modeling in the design of cities, streets, buildings, etc, in by CityEngine software. This paper examines how architectural shape grammars can be used to procedurally generate 3D modeling.In the end, considering the advantages of the procedural modeling, we propose procedural modeling (Algorithmically) to replace the manual modeling (Traditional methods) to increase the accuracy, speed, and design efficiency, furthermore, the flexibility of this approach helps to quickly change and regenerate the model as a new model.
Trust Management Systems in P2P Networks

The architecture of certain class of services, such as distributed computing, distributed storages or content delivering networks shifts from the traditional clientserver model to more scalable and robust peer to peer networks. Providing proper protection to such complex, open and anonymous systems is very complicated. Malicious peers can cooperate and develop sophisticated strategies to bypass existing security mechanisms. Recently, many trust management systems for P2P networks have been proposed. However, their effectiveness is usually tested only against simple malicious strategies. Moreover, a complex comparison of resistance of a particular method is missing. In this thesis, we (1) propose a new trust management system called BubbleTrust and (2) develop a simulation framework for testing trust management systems against various malicious strategies. Our simulation framework defines several criteria which determine the success of each malicious strategy in the network with a given system. We present results of four trust management systems that represent main contemporary approaches and BubbleTrust.
Analysis of attitudinal response to audible noise from high voltage transmission lines and transformer station

Procedures for statistical analysis of audible noise from 550 and 735 kV transmission lines and a 735 kV transformer station are discussed. The research also entails psycho-acoustic testing of people to determine attitudinal response to this form of noise as compared to other environmental noises. The evaluation of subjective response to corona noise in a laboratory environment are also discussed. A Participation Program between the Canadian Electrical Association, the American Electric Power Service Corporation and the National Bureau of Standards in Washington is outlined.
An Essential Perspective of Surgery: a Family Nurse Practitioner Clinical Care Model

An Essential Perspective in Surgery: A Family Nurse Practitioner Clinical Care Model Family Nurse Practitioners provide efficient, cost effective and safe care to patients in a variety of healthcare settings. Through the implementation of a clinical care practice model, the role of the Family Nurse Practitioner is a part of the multidisciplinary team caring for the outpatient surgical population. Patient satisfaction, system and patient benefits, including potential for increased revenue and effects on continuity of care across the spectrum of the surgical journey will be evaluated. This scholarly project examines the evidence in the form of literature review, conceptual and theoretical frameworks to evaluate the 1:1 clinical care model utilizing a Family Nurse Practitioners as part of the multidisciplinary team in the care of the outpatient surgical patient. The model was presented to a group of perioperative professionals belonging to the Association of periOperative Registered Nurses (AORN). Feedback in the form of a guided discussion and notecards provided networking opportunities, grey literature ideas, and further ideas for implementation locations. The eight Essentials of Doctoral Education for Advanced Practice Nursing were accomplished through completion of the project.