Miracle-dz/UniFAR-FTUs huggingface dataset:
Manipulation of lipid bioaccessibility of almond seeds influences postprandial lipemia in healthy human subjects 1–3

Background: Plant cell walls are known to influence the rate and extent of lipid release from plant food tissues during digestion; however, the effect of cell wall structure on postprandial lipemia is unknown. Objective: The objective was to investigate the effects of lipid release(bioaccessibility)onpostprandiallipemiabycomparinglipidencapsulatedbycellwallswithlipidpresentasfreeoil. Design: A randomized crossover trial ( n (cid:1) 20 men) compared the effectsof3mealscontaining54gfatprovidedaswholealmondseedmacroparticles(WA),almondoilanddefattedalmondflour(AO),orasunfloweroilblendascontrol(CO)onpostprandialchangesinoxidativestress(8-isoprostaneF 2 (cid:1) concentrations), vascular tone (peripheral augmentation index), and plasma triacylglycerol, glucose, and insulin concentrations. Results: The postprandial increase in plasma triacylglycerol was lower [74% and 58% lower incremental area under curve (iAUC)] after the WA meal than after the AO and CO meals ( P (cid:2) 0.001). Increases in plasma glucose concentrations (0–180 min) were significantly higher after the WA meal (iAUC: 114; 95% CI: 76, 153) than after the AO meal (iAUC: 74; 95% CI: 48, 99) ( P (cid:2) 0.05), but no significant differences from the CO meal were observed (iAUC: 88; 95% CI: 66, 109). The peak reductions in peripheral augmentation index after the WA, AO, and CO meals ( (cid:3) 9.5%, (cid:3) 10.1%, and (cid:3) 12.6%, respectively, at 2 h) were not significantly different between meals. Plasma 8-isoprostane F 2 (cid:1) and insulin concentrations did not differ significantly between meals. Conclusions: Thebioaccessibilityoflipidinalmondseeds,whichis regulated by the structure and properties of cell walls, plays a primary role in determining postprandial lipemia.
Vascular risk factors and longitudinal changes on brain MRI The ARIC study

Objective: To evaluate associations between vascular risk factors and changes in burden of infarcts, ventricular size (VS), sulcal widening (SW), and white matter hyperintensities (WMH) in an initially middle-aged, biracial cohort from the Atherosclerosis Risk in Communities (ARIC) study. Methods: Initial brain magnetic resonance (MR) scans and evaluations for vascular risk factors were performed in 1,812 ARIC participants in 1994–1995. In 2004–2006, 1,130 ARIC participants underwent repeat MR scans. MR scans were rated using a validated 9-point scale for VS, SW, and WMH. Infarcts were recorded. Multiple logistic regression analysis was used to assess associations between vascular risk factors and change between MR scans of one or more grades in VS, SW, WMH, or appearance of new infarcts, controlling for age, sex, and race. Results: At baseline, the 1,112 participants with usable scans (385 black women, 200 black men, 304 white women, 223 white men) had a mean age of 61.7 (cid:1) 4.3 years. In adjusted models, diabetes at baseline was associated with incident infarcts (odds ratio [OR] 1.95, 95% confidence interval [CI] 1.29–2.95) and worsening SW (OR 2.10, 95% CI 1.36–3.24). Hypertension at baseline was associated with incident infarcts (OR 1.73, 95% CI 1.23–2.42). In subjects with the highest tertile of fasting blood sugar and systolic blood pressure at baseline, the risk of incident infarcts was 3.68 times higher (95% CI 1.89–7.19) than those in the lowest tertile for both. Conclusion: Both atrophic and ischemic imaging changes were driven by altered glycemic and blood pressure control beginning in midlife.
A Dynamic Bayesian Network for Vehicle Maneuver Prediction in Highway Driving Scenarios: Framework and Verification

Accurate maneuver prediction for surrounding vehicles enables intelligent vehicles to make safe and socially compliant decisions in advance, thus improving the safety and comfort of the driving. The main contribution of this paper is proposing a practical, high-performance, and low-cost maneuver-prediction approach for intelligent vehicles. Our approach is based on a dynamic Bayesian network, which exploits multiple predictive features, namely, historical states of predicting vehicles, road structures, as well as traffic interactions for inferring the probability of each maneuver. The paper also presents algorithms of feature extraction for the network. Our approach is verified on real traffic data in large-scale publicly available datasets. The results show that our approach can recognize the lane-change maneuvers with an F1 score of 80% and an advanced prediction time of 3.75 s, which greatly improves the performance on prediction compared to other baseline approaches.
ROAD PASSABILITY ESTIMATION USING DEEP NEURAL NETWORKS AND SATELLITE IMAGE PATCHES

Artiﬁcial Intelligence (AI) technologies are getting deeper and deeper into remote sensing and satellite image processing of-fering value-added products and services in a real-time manner. Deep learning techniques applied on visual content are able to infer accurate decisions about concepts and events in an automatic way, based on Deep Convolutional Neural Networks which are trained on very large external image collections in order to transfer knowledge from them to the considered task. Existing emergency management services focus on the detection of ﬂooded areas, without the possibility to infer if a road from point A to a point B is passable or not. To that end, we propose an automatic road passability service that is able to deliver the parts of the road network which are not passable, using satellite image patches. Experiments and ﬁne-tuning on an annotated benchmark collection indicates the most suitable model among several Deep Convolutional Neural Networks.
Design contribution to the competitive performances of SMEs:

The strategic role of design-driven innovation is being increasingly recognized. Many studies show that investments in design positively influence the innovative capacity of firms and consequently their competitive performances. However, few researchers have explored how this relationship comes about. The studies that over the years have contributed to the understanding of design have identified two main barriers: the lack of a common language on design, and poor analysis of the dynamics that characterize the relationship between investment in design and competitive performances. In this paper, we investigate six SMEs located in the Lombardy region (Italy) that have received funding from a policy aimed to develop design innovation capabilities. We identify and discuss five different design innovation capabilities and we analyse their role in mediating the relationship between investment in design and competitive performances.
How Much Cultural Assumpt ı ons Matter In “Corporate Reputat ı on D ı mens ı ons” of the F ı rms: A Study from Turk ı sh Telecommun ı cat ı on Industry

The main purpose of this study is to examine the impact of cultural assumptions on corporate reputation perception of Turkish citizens mainly in Turkish telecommunication industry. Today in the globalised markets, in which the life cycles of products becomes shorten and differentiation between products diminish, as a company to be preferred, the key of the success lies in intangible assests. “Reputation” is such an intangible and valuable asset which makes a company preferred by whole stakeholders and which creates a competitive advantage for the companies. During the process of building of the reputation perception, cultural assumptions and values of the stakeholders are going to be influenced by national cultural values of the stakeholders (customers, suppliers, citizens, society, rivals.) Within the scope of this study impact of two cultural dimensions are tested namely: Individualism/ Collectivism and Masculinity/ Feminity. According to study results, horizontal individualism and feminity are the dominant cultural assumption prevaling in Turkish telecommunication sector in determining corporate reputation perception, whereas horizontal collectivist assumptions are the most prevailing one in determining the sector free general perception of reputation quotient. The people who have horizontal collectivist cultural assumptions, give importance much more to the inner dynamics of the company (i.e, workplace environment, leadership and financial performance) in their perception of RQ (reputation quotient). This study’s theoretical contribution is the examination of effects of cultural dimensions on corporate reputation perception of the companies in a comprehensive model; proposing new variables (affect of corporate reputation on employee attitudes and behaviors like organizational commitment, intention to turnover, job satisfaction, organizational citizenship behavior etc in terms of organizational behavior; and on customer satisfaction, brand loyalty and company performance as strategic management variables) in the model and filling this gap in the research. human resources management functions and policies (recruitment of most talented employees and candidates, working with a high qualified staff with relatively low amount of salaries and decreasing labor costs; increase in internal (employee) and external customer satisfaction as a result of the high performance levels of the qualified, talented employees); strategic desicion making , crisis management (i.e. taking support from internal and external stakeholders during crisis period creating a powerfull synergy), and having influence on even govenmental policies and law ag ents. All of these advantages decreases the total costs of the company by increasing total productivity, effectiveness and efficiency which brings higher profit maximization.
Order and Mess in Text Categorization: Why Using Sequential Patterns to Classify

Text categorization is a well-known task essentially based on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are generally considered as bags of words without any order. Although these approaches have proven to be eﬃcient, they do not provide users with comprehensive and reusable rules about their data. These rules are however very important for users in order to describe the trends from the data they have to analyze. In this framework, an association-rule based approach has been proposed by Bing Liu (CBA). In this paper, we propose to extend this approach by using sequential patterns in the SPaC method (Sequential Patterns for Classiﬁcation). Taking order into account allows us to represent the succession of words through a document without complex and time-consuming representations and treatments such as those performed in natural language and grammatical methods. The original method we propose here consists in mining sequential patterns in order to build a classiﬁer. We show on experiments that our proposition is relevant, and that it is very interesting compared to other methods. In particular, our method has better results than SVM when SVM do not perform well. Moreover, our approach is very interesting for huge volumes of data.
MOBILE INTELLIGENT DECISION SUPPORT SYSTEM MELANI (MEDICINAL PLANT IDENTIFIER) DEVELOPMENT

The Development of MELANI (Medicinal Plant Identifier) Mobile Intelligent Decision Support System is a study on the design and development of an application for learning medicinal plants. Generally the purpose of this research is to knowing the design and development of MELANI (Medicinal Plant Identifier) Mobile Intelligent Decision Support System application, and also to get review from experts and response from it’s users. Design and development method was used as the research methods together with the use of research design based on a knowledge base that is in line with existing problems as well as the use of creative methods in solving these problems,, in which focused on product design and development in the form of MIDSS applications, followed by a series of assessments, trials, and revisions to the product. Technique that was used for data gathering were interview, questionnaire, and observation while data reduction, data display, and conclusion was used as data analysis technique. This research resulted in the development of MELANI (Medicinal Plant Identifier) Mobile Intelligent Decision Support System in the form of Android application with the use of Artificial Intelligence (AI) technology in helping it’s users identifying and learning medicinal plants in the field.
Usefulness of 3 9 -Deoxy-3 9 - 18 F-Fluorothymidine PET for Predicting Early Response to Chemoradiotherapy in Head and Neck Cancer

This study compared the utility of 3 9 -deoxy-3 9 - 18 F-ﬂuorothymi-dine PET ( 18 F-FLT PET) with that of 18 F-FDG PET for assessment of the early locoregional clinical outcomes of chemoradiotherapy for head and neck squamous cell carcinomas. Methods: From May 2006 to September 2010, 28 patients with head and neck squamous cell carcinomas underwent 18 F-FLT and 18 F-FDG PET before radiation therapy (RT), 4 wk after the initiation of RT, and 5 wk after completion of RT. PET images were evaluated qualitatively for regions of focally increased metabolism and were analyzed in relation to residual accumulation and local disease control. Results: During RT, 18 F-FLT uptake decreased more signiﬁcantly than 18 F-FDG uptake. 18 F-FLT accumulations disappeared in 34 of 54 lesions (63%), and negative predictive value was 97%. 18 F-FDG PET during RT also had a high negative predictive value (100%), but only 9 lesions (16%) showed complete absence of accumulation. The speciﬁcity and overall accuracy of 18 F-FLT PET were signiﬁcantly higher than those of 18 F-FDG PET both during and after RT. In particular, high signiﬁcance was attributable to the results of the evaluations of primary lesions. There were signiﬁcant differences in 3-y local control between the residual-accumulation and no-accumulation groups on both posttreatment 18 F-FLT PET ( P , 0.0001) and posttreatment 18 F-FDG PET ( P 5 0.0081). Conclusion: 18 F-FLT PET during RT and early follow-up facilitates the selection of optimal further therapy and the prediction of outcomes.
Expression of Nigrostriatal (cid:1) 6-Containing Nicotinic Acetylcholine Receptors Is Selectively Reduced, but Not Eliminated, by (cid:2) 3 Subunit Gene Deletion

mRNAs for the neuronal nicotinic acetylcholine receptor (nAChR) (cid:1) 6 and (cid:2) 3 subunits are abundantly expressed and colocalized in dopaminergic cells of the substantia nigra and ventral tegmental area. Studies using subunit-null mutant mice have shown that (cid:1) 6- or (cid:2) 3-dependent nAChRs bind (cid:1) -cono-toxin MII ( (cid:1) -CtxMII) with high affinity and modulate striatal dopamine release. This study explores the effects of (cid:2) 3 sub-unit-null mutation on striatal and midbrain nAChR expression, composition, and pharmacology. Ligand binding and immunoprecipitation experiments using subunit-specific antibodies in- dicated that (cid:2) 3-null mutation selectively reduced striatal (cid:1) 6* nAChR expression by 76% versus (cid:2) 3 (cid:1) / (cid:1) control. Parallel experiments showed a smaller reduction in both midbrain (cid:1) 3* and (cid:1) 6* nAChRs
A Survey on Current States of Honeypots and Deception Techniques for Attack Capture

- Deception based mechanisms are accustomed for enhancing the security by inflicting misperception on assailants who take activities for barrier. In this paper we attempted to reviews problems related to honeypot and deception based defensive strategies inside the cyberworld, most importantly, need to characterize the honeypot wonder and abridge its preferences and drawbacks, this paper gives overview of honeypot techniques and various types of honeypots and the different deception techniques used for counter assaults
A Robust Multimodal Biometric System Integrating Iris, Face and Fingerprint using Multiple SVMs

: This paper presents a robust multimodal biometric recognition system integrating iris, face and fingerprint based on match score level fusion using multiple support vector machines (SVMs). Here, multiple support vector machines are applied in parallel fashion to overcome the problem of missing biometric traits. It considers every possible combination of all the three biometric traits (iris, face and fingerprint) individually. Each possible combination of biometric traits has a separate SVM to combine the available match scores to generate the final decision. Existing multimodal biometric recognition systems are based on the assumption that the set of biometric traits to be integrated is always present as a whole at the time of authentication. But sometimes it is not possible due to some unavoidable circumstances (e.g. injury may be caused, person may be under some medical treatment, corresponding trait may be missing etc.). The performance of the proposed system is evaluated on a public dataset demonstrating its recognition accuracy regarding FAR (False Accept Rate) and FRR (False Reject Rate).
IN VITRO CULTURE OF IMMATURE EMBERYOS AND ANTHER CULTURES OF BREAD WHEAT

This investigation was carried out at the Cell and Tissue Culture Lab. Faculty University, during the period from 2005 to 2006 aiming to study the main factors affecting callus Induction and plant regeneration from cultured immature embryos of cultivars of wheat ( Triticum aestivum L) namely Gemmeiza 7, Gemmeiza 9 , Gemmeiza 10, Giza 168 and Sakha 93 . Experiments were designed to identify cultivars of wheat and growth regulator most suitable for successful in vitro immature embryos and anther culture stages were also investigated. Results indicated that there were significant effect for the cultivars , growth regulators and their interaction on callus induction from the immature embryos. The cultivar G168 recorded the highest significant effect for callus induction followed by Gemmeiza 10. The highest value of callus initiation recorded when 2.0 mg/L2,4-D+0.5 mg/L kin was added to the MS medium. Results indicated that there were significant effect for growth regulators and their interaction with genotypes on plant regeneration. Growth regulators, effected on the plant regeneration percent. The highest value of plant regeneration recorded when 1.0 mg/L kin +0.5 mg /L 2,4-D or 1.0 mg /L BAP +0.5 mg /L NAA were added to the MS medium. The interaction between cultivars and growth regulators was significant . The highest plant regeneration recorded for Gemmeiza 10 cultured on MS medium supplemented with 1.0 mg /L BAP +0.5 mg /L NAA. For anther studies the highest mean for plant regeneration (11.66%) was obtained from Sakha 93. G168 also yielded high (11.00%) mean number of plant regeneration . Albino plants were obtained from 3 of the 5 cultivars. The stage of development of the microspores at the time of culture was affected on plant regeneration percent . Uninucleate microspores stage was identified as producing the highest percentages of green plants(26.66%) compared with the tetrad(15.37%) stage. It is also indicated that the Sakha 93 cultivars showed the highest percentage of green plants from the nucleate stage (35.55%) follow by G 168 .
Type of Stochastic Dependence and its Impact on the Performance of Regression Type Classiﬁers

—Six regression type binary classiﬁers based on linear and logistic models have been evaluated using a complex simulation experiment. The classiﬁers were compared with respect to the robustness to unexpected changes of the models that describe data in training and test sets. The data used for this comparison were generated using different models describing their interdependence. This dependence was modeled by different copulas. The experiments revealed that the performance of considered classiﬁers strongly depends upon the type of copula. However, the simple logistic regression has appeared to be the best one in these circumstances. Thus, this classiﬁer could be recommended for practitioners when the type of dependence may vary in time.
VOICING AND ASPIRATION IN MARATHI STOPS

This paper addressed the debate on binary features [±voice] versus privative features [voice] and [spread glottis] as the phonological representation of laryngeal features in stop sounds across languages by studying the production of four-way stops (e.g. /b/, /b h/ , /p/, and /p h /) in Marathi. This study was aimed at providing accurate data on voicing and aspiration in Marathi stops in utterance-initial and intervocalic positions, as well as investigating how voicing and aspiration are influenced by place of articulation and male-female differences. Three male and three female native speakers of Marathi were recorded in an anechoic chamber at the University of Iowa, and their recordings were analyzed using Praat. The data showed robust presence of voicing and aspiration in the production of voiced aspirated stops, supporting the privative features theory since the binary features [±voice] alone cannot distinguish the four-way stop contrasts in Marathi. Furthermore, place of articulation was found to be significantly correlated with the length of voicing and aspiration, whereas male-female differences did not have a significant influence on voicing and aspiration of the Marathi stops.
SGTA recognizes a non-canonical ubiquitin-like domain in the Bag6-Ubl4A-Trc35 complex to promote ER-associated degradation

Elimination of aberrantly folded polypeptides from the endoplasmic reticulum (ER) by the ER-associated degradation (ERAD) system promotes cell survival under stress conditions. This quality control mechanism requires movement of misfolded proteins across the ER membrane for targeting to the cytosolic proteasome, a process facilitated by a ‘holdase’ complex, consisting of Bag6 and the cofactors Ubl4A, Trc35. This multiprotein complex also participates in several other protein quality control processes. Here we report SGTA as a new component of the Bag6 system, which cooperates with Bag6 to channel dislocated ERAD substrates that are prone to aggregation. Using NMR spectroscopy and biochemical assays, we demonstrate that SGTA contains a noncanonical ubiquitin-like-binding domain (UBLD) that interacts specifically with an unconventional UBL in Ubl4A at least in part via electrostatics. This interaction helps recruit SGTA to Bag6, enhances substrate loading to Bag6, and thus prevents the formation of non-degradable protein aggregates in ERAD. the mass Y.X. and Y-H.Y. the of all experiments. interpretation and conclusions of experiments.
Eﬀect of enriched rotifers on growth, survival, and composition of larval Atlantic cod ( Gadus morhua )

Recently, the nutritional requirements of marine ﬁnﬁsh larvae have received considerable attention, and studies have shown that docosahexaenoic acid (DHA) aﬀects the growth and survival of marine ﬁnﬁsh larvae. We investigated the eﬀects of diﬀerent rotifer diets containing variable amounts of DHA on the growth and survival of larval Atlantic cod ( Gadus morhua L.). Four diﬀerent commercial rotifer enrichment formulations were used: spray-dried whole cells composed of Crypthecodinium sp. (ED1), spray-dried whole cells of Schizochytrium sp. (ED2), an oil emulsion (ED3) and ED1, and dried Chlorella at a 7:3 ratio by weight (ED4). The resultant rotifers contained a similar concentration of DHA (1.1 e 1.6% DW), but the level of DHA diﬀered in proportion to EPA for each enrichment, and was designated ER1 e 4. Twelve 30-l aquaria were used with three replicates per treatment. Larvae were fed with rotifers from 3 to 43 days post-hatch (dph) at 4000 prey l (cid:1) 1 . At the end of the experiment, no signiﬁcant diﬀerences were found in body length and dry weight between the larvae reared on ER1 and ER2. However, larvae reared on ER3 were signiﬁcantly smaller (both in length and weight) than larvae reared on ER1 and ER2. Larval survival on the ER2 treatment at 43 dph was signiﬁcantly higher than on the other three treatments. Our results showed a positive eﬀect of rotifer DHA proportions on growth and survival of cod larvae, and demonstrated that Atlantic cod larvae require a high ratio of dietary to EPA.