Miracle-dz/UniFAR-FTUs huggingface dataset:
Phyto-extracts applied in beef meatballs ameliorates hyperglycemia and its complications in alloxan-induced diabetic rats

: Diabetes mellitus is widely distributed all over the world including Egypt, and nearly one of each 10 person is diabetic. Oxidative stress, lipid toxicity and low-grade inflammation as major causes on diabetic complications. Several strategies to improve diabetic complications have been proposed, because early treatment and prevention play a pivotal role in reducing the population burden of diabetes. Therefore, the present study aims to investigate the effectiveness of three methanolic phyto-extracts by-products (pomegranate peel, red onion skin and eggplant peel) blends in meat balls in modulating hyperglycemia using alloxane-induced diabetic rats. Treatment of animals with aloxane caused a significant increased ( p ≤0.05) in serum glucose concentration by the ratio 85.59% compared to normal controls. Supplementation of the rat diets with meatballs (20%) decreased this value which recorded 63.64%. The decreasing rate was elevated with the blending of the meatballs with 0.1% w/w by pomegranate peel methanolic extract (PPME), red onion skin methanolic extract (ROSME) and eggplant peel methanolic extract (EPME) and their mixture which recorded 40.87, 30.49, 34.83 and 21.64%, respectively. The same behaviour was recorded for liver tissue MDA level, the biomarkers of oxidative stress and inflammation in liver. Also, improving in liver and kidney functions in diabetic rats have been induced by different rates as the result of supplementation the diet with meatballs blending with the tested phyto by-products extracts. All of these effects could be attributed to the strong antioxidant activity of these extracts as the result of their high phenolics content. These findings provide a basis for the use of the selected phyto by-products extracts for the prevention and early treatment of T2DM.
九州大学学術情報リポジトリKyushu Research Search Using a Topic-Based Boolean Query Search and a General Query-Based Ranking Model

When conducting a search for research papers, the search should return comprehensive results related to the user’s query. In general, a user inputs a Boolean query that reflects the information need, and the search engine ranks the research papers based on the query. However, it is difficult to anticipate all possible terms that authors of relevant papers might have used. Moreover, general query-based ranking methods emphasize how to rank the relevant documents at the top of the results, but require some means of guaranteeing the comprehensiveness of the results. Therefore, two ranking methods that consider the comprehensiveness of relevant papers are proposed. The first uses a topic-based Boolean query search. This search converts every word in the abstract set and query into a topic via topic analysis by Latent Dirichlet Allocation (LDA) and conducts a search at the topic level. The topic assigned to synonyms of a search term is expected to be the same as that assigned to the search term. Each paper is ranked based on the number of times it is matched with each topic-based Boolean query search executed for various LDA parameter settings. The second is a hybrid method that emphasizes better results from our topic-based ranking result and a general query-based ranking result. This method is based on the observation that the paper sets retrieved by our method and by a general ranking method will be different. Through experiments using the NTCIR-1 and -2 datasets, the effectiveness of our topic-based and hybrid methods are demonstrated.
Review of MR elastography applications and recent developments

The technique of MR elastography (MRE) has emerged as a useful modality for quantitatively imaging the mechanical properties of soft tissues in vivo. Recently, MRE has been introduced as a clinical tool for evaluating chronic liver disease, but many other potential applications are being explored. These applications include measuring tissue changes associated with diseases of the liver, breast, brain, heart, and skeletal muscle including both focal lesions (e.g., hepatic, breast, and brain tumors) and diffuse diseases (e.g., fibrosis and multiple sclerosis). The purpose of this review article is to summarize some of the recent developments of MRE and to highlight some emerging applications. J. Magn. Reson. Imaging 2012;36:757–774. © 2012 Wiley Periodicals, Inc.
Identification d'un comportement terminal élastique dans les fondus de polymères, de polymères cristaux liquides et analyse de la transition de phase induite par cisaillement

Lorsque le cisaillement entre en competition avec la dynamique du fluide, on entre alors dans le domaine des deformations non-lineaires. La birefringence induite par cisaillement dans la phase isotrope des polymeres cristaux liquides en peigne (PCLP), est un phenomene non-lineaire associe a de longs temps de relaxation, et bien que spectaculaire, il ne peut etre explique ni par un couplage du cisaillement avec le temps de vie des fluctuations d'orientation pretransitionnelles, ni avec le temps terminal viscoelastique. Les descriptions conventionnelles ne sont donc pas assez puissantes pour decrire la birefringence induite par cisaillement. En controlant les proprietes interfaciales, nous montrons que la reponse rheologique des PCLP, en particulier dans l'etat isotrope, est fondamentalement differente du comportement d'ecoulement habituellement decrit a basses frequences : le fondu presente un caractere elastique predominant (gel ou solide). Cette elasticite, observee loin de toutes transitions, n'est ni due aux proprietes mesomorphes, ni a la dynamique pretransitionnelle. L'analyse des proprietes dynamiques de polymeres ordinaires, amorphes, enchevetres et non enchevetres confirme que cette elasticite est une propriete generique. Nous montrons que l'augmentation de l'epaisseur et de la deformation induit une chute de l'elasticite. L'effet de l'epaisseur a ete interprete par la participation de parametres dissipatifs qui apportent de la mobilite au systeme. A faible epaisseur et a faible amplitude de deformation, la mesure est affranchie de ces parametres non conservatifs et l'elasticite intrinseque est alors mesuree. Nous montrons que l'elasticite intrinseque augmente, puis sature a une valeur qui coincide avec la hauteur du plateau caoutchoutique, au dela d'une masse moleculaire critique qui coincide avec la definition du regime enchevetre. Les forces intermoleculaires de cette elasticite sont du meme ordre de grandeur que l'elasticite provenant des enchevetrements. Nous montrons que la force de la reponse elastique depend fortement de la nature de ces interactions intermoleculaires.
Identi cation of Tree Translation Rules from Examples

Two models for simple translation between ordered trees are introduced. First is that output is obtained from input by renaming labels and deleting nodes. Several decision problems on the translation are proved to be tractable and intractable. Second is term rewriting system, called k-variable linear translation. The e cient learnability of this system using membership and equivalence queries is shown.
Organisational factors inﬂuencing non-pharmacological management of type 2 diabetes mellitus (T2DM) in public hospitals across Lagos, Nigeria: A qualitative study of nurses’ perspectives

Background: The prevalence and incidence of Type 2 Diabetes mellitus (T2DM) are signiﬁ-cantly increasing in Nigeria. Effective management of the condition, in clinical settings, can be achieved with a minimal ﬁnancial cost, but this is often overlooked. It is crucial to understand organisational factors inﬂuencing non-pharmacological management of T2DM in Nigerian publichospitals for effective management of patients diagnosedwith the condition. Aim: To examine healthcare delivery services inﬂuencing patient management and seek approaches to heighten optimisation of patient health outcomes. Methods: Adopting a qualitative case study design, we used the Constant Comparative Method and semi-structured questions to interview17 nurses in public hospitals across Lagos. Using the ﬁve stages of the Framework Analysis process, the transcribed interviews were thematically analysed. Results: Nurses suggested that a complex, multifaceted system constituted organisational factors inﬂuencing T2DM management in public hospitals across Lagos, Nigeria. Speciﬁc factors identiﬁed were levels of available information and knowledge, relationship, policy and decision-making management. These factors were, in turn, linked to political, infras-tructural, health professional and the environments within which patients were given health
Political Feasibility and Social Perception of Inequality

The actual level of income inequality and the scope of policy options inﬂuence the re-distribution policy chosen by a social planner. We show how the interaction between the two attributes may lead to the formation of social perception of inequality. An axiomatic system on social preferences is suggested and demonstrated to characterize a measure of social perception of inequality. Our contention is that social perception, as conceptualized in this paper, is closely related to both the objective inequality and the prospect level of equality. The prospect equality reﬂects the ideal level of equality, among which are politically feasible
Financial literacy and financial planning: Implication for financial well-being of retirees

This study examines how financial literacy, financial behaviour, family support (as another source of income), number of dependents, and retirement planning influence on the financial well-being of retirees in Cape Coast Metropolis of Ghana. A cross-sectional survey strategy was employed on 400 respondents randomly selected from 1500 members of the association to analyze the effect of financial literacy, financial behaviour, family support, number of dependents and retirement planning on financial wellbeing. It then tests their hypothesized relationships with the use of Partial Least Squares (PLS), a structural equation modelling technique. The results reveal that financial literacy, retirement planning and family support significantly impact the financial well-being of retirees. More importantly, the effect of family support and retirement planning on retirees’ financial well-being is stronger than the one of financial literacy. The findings imply that finance literacy and retirement planning should be promoted. In addition to policies aimed at bridging social cohesion and promoting family values should not be ignored the maximizing of financial well-being of retirees. The study contributes to the extant literature on financial literacy and provides evidence on the effect of financial literacy and financial planning on the financial well-being of retirees in a developing country. It has also provided support for the need of social cohesion.
Badanie zależności kąta wypukłości profilu od wartości kąta ANB u osób z I oraz II klasą szkieletową The study of the relationship between the profile convexity angle and the ANB angle value among people with skeletal class I and II

The analysis of facial features and examination of the patient's profile is one of the basic diagnostic tools in orthodontic practice. Aim. The study analyzed the relationship between the convexity angle of the G-Sn-Pg profile on changes in the value of the ANB angle in orthodontically untreated patients with skeletal class I and II. Material and methods. The material consisted of profile photographs taken before orthodontic treatment and lateral
The effect of pregnancy yoga exercise on reducing anxiety of pregnant woman third trimester

Background : Physiological changes and fear of facing labor in the third trimester of pregnancy can trigger increased anxiety in pregnant women. One of the interventions to reduce anxiety in third trimester pregnant women is yoga exercise. Objective : The purpose of this study was to determine the effect of pregnant yoga exercise on reducing anxiety pregnant women in the third trimester. Methods : This quantitative research uses a pure experimental research design with pre and post-test control group techniques. The number of respondents was 30 and divided into the intervention group and the control group. Data collection using The Pranaya Pregnancy Yoga Exercise Protocol and PASS questionnaire. The pregnancy yoga exercise protocol was used after passing the feasibility test using The Dolphin Yoga Assessment Tool and PASS questionnaire used after passing the validity and reliability test. Bivariate data analysis was performed using the Man-Whitney non-parametric test. The test was carried out after the data passed the normality test using the Shapiro-Wilks test. Results : This study showed that yoga interventions during pregnancy had a significant effect on reducing anxiety in third trimester pregnant women with a p < 0.001. Conclusions : Health workers need to make innovative interventions that can improve the mental health of pregnant women, for example through the activation of the pregnant women class program.
No-till farming : effects on soil, pros and cons and potential

Influence of Tillage Systems on Soil Structural Properties Effects & After-Effects of 20 Years of Reduced Tillage Practices on Soil Properties & Crop Performance in the Semi-Arid Subtropics in Australia Identification & Assessment of Indigenous Soil Erosion Control Measures in the Usambara Mountains, Tanzania Fertilization & Crop Residue Management in No-Till Corn Production Synergies Between Conventional Soil Organic Carbon, Farm Productivity, Soil Sequestration & Soil Carbon Market Risk in Australia Carbon Sequestration in No-Tillage Systems on Tropical Soils of Brazil Magnitude & Severity of Channel Irrigation-Induced Landslides on Different Cultivation Systems in the Vegetable Growing Area of the Uluguru Mountains, Tanzania Effects of No-Till Farming on Global Weedrelated Problems & Weed Communities of Greece & the Ongoing Challenges of Integrated Weed & Crop Management Effects of Agroecological Conditions & Slope Gradient on Tillage Erosion in the Northern Slopes of the Uluguru Mountains, Tanzania Surface Stratification of Soil Nutrients in No-Till Limits Nutrient Availability & Reduces Grain Yield Remote Sensing to Monitor Nitrogen Deficiencies in No-Till Cornfields.
1 Reliability Improvement of Wind Turbine Power Generation using Model-based Fault Detection and Fault 1 Tolerant Control : a review 2

8 Reliability improvement of wind turbine power generation is the key issue that can turn the wind power into one of 9 the main power sources to respond to the world power demands. The likelihood of fault occurrence on wind turbine 10 components is unavoidable, especially for large rotor modern wind turbines, operating in harsh offshore environments. 11 Accordingly, the maintenance need increases due to unanticipated faults, which in turn, leads to higher energy cost 12 and less reliable power generation. In this regard, model-based fault detection and fault tolerant control techniques 13 have been extensively investigated in the last decade, for achieving good performance. In this way, the reliability, 14 availability and safety features of the wind turbine power generation are also enhanced. Thus, in this paper a 15 comprehensive review of the most-recent model-based fault detection and fault tolerant control schemes for wind 16 turbine power generation is presented, focusing on the advantages, capabilities and limitations. Note that the so-called 17 data-driven or signal-based methodologies, which rely on the analysis of the signals directly generated from the 18 monitored system, are not reviewed in this paper. This review is organized in a tutorial manner, to be a suitable 19 reference for further research for the wind turbine’s reliability improvement. 20 21
Prototype Local Data Integration System and Central Florida Data Deficiency

This report describes the Applied Meteorology Unit's (AMU) task on the Local Data Integration System (LDIS) and central Florida data deficiency. The objectives of the task are to identify all existing meteorological data sources within 250 km of the Kennedy Space Center (KSC) and the Eastern Range at Cape Canaveral Air Station (CCAS), identify and configure an appropriate LDIS to integrate these data, and implement a working prototype to be used for limited case studies and data non-incorporation (DNI) experiments. The ultimate goal for running LDIS is to generate products that may enhance weather nowcasts and short-range (less than 6 h) forecasts issued in support of the 45th Weather Squadron (45 WS), Spaceflight Meteorology Group (SMG), and the Melbourne National Weather Service (NWS MLB) operational requirements. The LDIS has the potential to provide added value for nowcasts and short term forecasts for two reasons. First, it incorporates all data operationally available in east central Florida. Second, it is run at finer spatial and temporal resolutions than current national-scale operational models. In combination with a suitable visualization tool, LDIS may provide users with a more complete and comprehensive understanding of evolving fine-scale weather features than could be developed by individually examining the disparate data sets over the same area and time. The utility of LDIS depends largely on the reliability and availability of observational data. Therefore, it is important to document all existing meteorological data sources around central Florida that can be incorporated by it. Several factors contribute to the data density and coverage over east central Florida including the level in the atmosphere, distance from KSC/CCAS, time, and prevailing weather. The central Florida mesonet consists of existing surface meteorological and hydrological data available from the Tampa NWS and data servers at Miami and Jacksonville. However the utility of these data for operational use is limited, mainly because there are relatively few additional meteorological observations within 50 km of KSC/CCAS to supplement existing METAR and KSC/CCAS tower reports.
On periodic parameter identification in stochastic differential equations

Periodic parameters are common and important in stochastic differential equations (SDEs) arising in many contemporary scientific and engineering fields involving dynamical processes. These parameters include the damping coefficient, the volatility or diffusion coefficient and possibly an external force. Identification of these periodic parameters allows a better understanding of the dynamical processes and their hidden intermittent instability. Conventional approaches usually assume that one of the parameters is known and focus on the recovery of rest parameters. By introducing the decorrelation time and calculating the standard Gaussian statistics (mean, variance) explicitly for the scalar Langevin equations with periodic parameters, we propose a parameter identification approach to simultaneously recovering all these parameters by observing a single trajectory of SDEs. Such an approach is summarized in form of regularization schemes with noisy operators and noisy right-hand sides and is further extended to parameter identification of SDEs which are indirectly observed by other random processes. Numerical examples show that our approach performs well in stable and weakly unstable regimes but may fail in strongly unstable regime which is induced by the strong intermittent instability itself.
Déconvolution aveugle et sismologie : estimation de la source sismique et des effets de site

Depuis maintenant une vingtaine d'annees, l'essor des telecommunications numeriques a genere toute une panoplie de methodes dites de deconvolution aveugle. Celles-ci permettent de separer les differentes composantes d'un produit de convolution sans en avoir aucune connaissance a priori. L'objectif de ce travail de these a ete d'etudier leurs modalites d'applications a la sismologie, afin notamment, d'estimer la fonction source du mouvement sismique ou les effets de site. L'adaptation de la deconvolution a phase minimale au signal de coda, nous a permis d'identifier les fonctions sources de deux types d'evenements sismiques : l'explosion sous-marine du Kursk (12/08/2000), d'une part et le seisme de Rambervillers (22/02/2003, Ml=5.4) d'autre part. Nous avons ainsi pu estimer respectivement la profondeur, la charge de l'explosion ainsi que la duree et le moment sismique du seisme. Grâce a cette methode, nous avons montre qu'il est aussi possible d'estimer les effets de site en differentes stations du RAP pourtant separees de plusieurs dizaines de kilometres. Nous avons ensuite applique les methodes de deconvolution aveugle par statistique d'ordre superieur aux signaux de coda stationnarises du seisme de Rambervillers. Ces methodes ont l'avantage de supprimer l'hypothese de phase minimale, contraignante et theoriquement non justifiee en sismologie. La fonction source obtenue grâce a la tricorrelation moyennee sur l'ensemble du reseau, est tres similaire a celle obtenue apres deconvolution par fonction de Green Empirique. Les exemples traites montrent que les methodes developpees ici sont tres prometteuses et meriteraient d'etre appliquees a de nombreux autres jeux de donnees.
The Role of Supply Chain Features in the Effectiveness of Sustainability Practices in the Service Supply Chain: Application of Fuzzy Rule-Based System

This study analyzes the affecting variables on the relation of sustainability practice-performance in the service supply chain. The identified factors (supply chain features) are classified in a hierarchical structure of Fuzzy Analytic Hierarchy Process (FAHP): Macro Environment Features, Service Provider Features, Supplier Features, Employee Features, and Customer Features. Then, the FAHP is applied to identify the importance of each factor in the hospital supply chain, as an example of the service sector. To extract and predict the factors’ interactions, the knowledge base of the fuzzy if-then rules is constructed. The developed Fuzzy Inference System (FIS) gives insights on the supply chain features with significant impact on the effectiveness of sustainability initiatives. So, by predicting and strategically managing the affecting factors, service supply chain managers can have more effective and sustainable performance. The fuzzy surfaces indicate that the features of the macro environment, especially the government regulations, are crucial factors influencing the movement toward sustainability.
Ecological interaction networks. What we know, what we don’t, and why it ma�ers

We review the growing literature on ecological interaction networks to address several key issues about this conceptual and methodological approach. We start by asking the most basic question: Why study networks and whether a network approach is (or is not) useful to understand the ecology of interacting species, the functioning and stability of the communities they belong to, and their response to global change drivers. We also discuss the multiple meanings of network nodes as individuals, populations and species, the different ways of quantifying node roles, the multiple meanings of links as presence/absence of interactions, per capita interaction strengths and species-level effects, and the available approaches to study networks with different types of interactions. Then, we review the structural pa�erns emerging in ecological interaction networks and the mechanisms driving network structure and function, identifying both what we already know and the knowledge gaps that we still need to fill in. We also discuss sampling effects and their influence in distorting observed network pa�erns. Finally, we review how different drivers of global environmental change influence the structure, dynamics and stability of ecological networks. With this review we hope to offer a balanced overview of what we have learned in the study of ecological interaction networks and point to several key avenues of research for the next decade.