Miracle-dz/UniFAR-FTUs huggingface dataset:
Sensory Evaluation of Toasted Bread Fortified with Banana Flour : A Preliminary Study

The use of whole wheat and banana flour blends in the production of toasted breads was studied, essentially, to determine the effect of banana flour on the sensory qualities of toasted bread. The flour blends of whole wheat and banana were composites at varying inclusion levels of 10, 20 and 30% as samples B, C and D respectively, while the whole wheat flour toasted bread (sample A) served as control. The bread loaves were produced using the straight-dough procedure and were subsequently evaluated for their sensory attributes. The sensory analysis showed that there was no significant difference between the whole wheat toasted bread and the banana fortified samples in the sensory attributes of taste, aroma, appearance and texture. While significant difference (p<0.05) was observed in the overall acceptability. Our conclusion is that a substitution of up to30% banana flour into wheat flour would give the toasted bread a high acceptability.
Learning Latent Events From Network Message Logs

We consider the problem of separating error messages generated in large distributed data center networks into error events. In such networks, each error event leads to a stream of messages generated by hardware and software components affected by the event. These messages are stored in a giant message log. We consider the unsupervised learning problem of identifying the signatures of events that generated these messages; here, the signature of an error event refers to the mixture of messages generated by the event. One of the main contributions of the paper is a novel mapping of our problem which transforms it into a problem of topic discovery in documents. Events in our problem correspond to topics and messages in our problem correspond to words in the topic discovery problem. However, there is no direct analog of documents. Therefore, we use a non-parametric change-point detection algorithm, which has linear computational complexity in the number of messages, to divide the message log into smaller subsets called episodes, which serve as the equivalents of documents. After this mapping has been done, we use a well-known algorithm for topic discovery, called LDA, to solve our problem. We theoretically analyze the change-point detection algorithm, and show that it is consistent and has low sample complexity. We also demonstrate the scalability of our algorithm on a real data set consisting of 97 million messages collected over a period of 15 days, from a distributed data center network which supports the operations of a large wireless service provider.
Survey on Features and Classification Techniques in Music Genre Classification

Music is an integral part of society and even human being. A human being listen music to make a mood and change a mood. He listens music in sad and happy moments even when he is getting bored. In early days only folk music or local music is the way for this purpose. But in digital era or due to entry of various cultures in the society people are listening music from various parts of the country or world. The choice of listening the music varies from people to people from mood to mood. Sometimes we want to listen silent music or rock or pop etc. and sometimes it depends on the occasions also. As far as mood is concern people listen sad or happy or romantic music to make the mood or change the mood. This type of classification of songs is called genres. Genre classification is one of the prominent fields in MIR. Most of Genre classification involves feature extraction and the classification techniques along with some preprocessing if needed. In this review paper we tried to discuss and compare various techniques of features extraction and classification methods. In the literature most widely used features are MFCC and timbre features and classification methods are KNN and SVM. Low level feature and high level features are taken into consideration and most suitable feature is identified.
Stochastic Consensus over Time-Varying Networks of Linear Symmetric Agents

Multi-agent systems over noisy networks with linear symmetric agents are considered. The topology of the network which deﬁnes the availability of communication among the agents is assumed to be a directed, weakly connected and balanced graph or an undirected and connected one. Furthermore, the communication graph is allowed to be time varying. The aim of this study is to establish a stochastic averaging consensus algorithm under a noisy environment for each time-varying network. The convergence analysis of the proposed algorithms reveals an explicit relation between the number of iterations and the closeness of the agreement, which gives a stopping rule for the consensus algorithm. The results are illustrated through numerical examples.
Tour Recommendation Guide- Personalized travel sequence recommendation

Presents a personalized travel sequence for the given area the individual wants to visit. It not only helps to personalize the travel but also recommend a travel sequence based on the area mentioned. Firstly the frequently visited routes are ranked then top ranked routes are chosen based on previous travel records. The data is being collected using data mining and the famous routes are ranked based on user and the route. It helps in bridging the gap between user travel preference and routes.
DEVELOPMENTAL AND BIOCHEMICAL EFFECTS OF IMIDACLOPRID ON CHICK EMBRYOS

Introduction: Environmental pollution is a worldwide problem in a modern society. The extensive uses of pesticides are widely used to enhance the crop production and other benefits and have raised concerns about potential adverse effects on the environment, human health and non-target animals. Imidacloprid is one of the major representatives of the new generation of neonicotinoid insecticides derived from nicotine isolated from the tobacco plant. Imidacloprid is a widely applied pesticide due to their higher affinity for insect nicotinic acetylcholine receptors, it acts on nervous system. Worldwide, it is considered to be one of the insecticides used in the largest volume. Methods: Present study was carried out in the department of Anatomy Govt. Medical College, Ambedkar Nagar and Santosh Medical College Ghaziabad U.P. on 270 fertile eggs of white leghorn chicken obtained from government poultry farm after taking permission from animal ethical committee. Chicken eggs exposed to Imidacloprid with doses of 12. 5Âµg, 25Âµg, and 50Âµg in a volume of 12. 5Âµl, 25Âµl and 50Âµl respectively and control same as test group. The embryos were terminated on 21st day, egg shell broken with a scalpel and embryos removed. Biochemical and developmental changes observed and recorded. Results: The results show that experimental into failure of retraction of yolk sac, limbs defects, and Ectopia Viscerale and biochemical changes as compared to controls. Conclusion: Imidacloprid exposure increases the risks of developmental defects and biochemical parameters alterations with increasing embryonic age. Comparatively higher doses proved more toxic and also caused many developmental defects in chick embryos.
High Technology Entrepreneurs and the Patent System: Results of the 2008 Berkeley Patent Survey

We offer description and analysis of the 2008 Berkeley Patent Survey, summarizing the responses of 1,332 U.S.-based technology startups in the biotechnology, medical device, IT hardware, software, and Internet sectors. We discover that holding patents is more widespread among technology startups than has been previously reported, but that the patterns and drivers of holding patents are industry and context specific. Surprisingly, startup executives report in general that patents are providing relatively weak incentives for core activities in the innovation process. Our analysis uncovers that the drivers of startup patenting are often associated with capturing competitive advantage, and the associated goals of preventing technology copying, securing financing, and enhancing reputation - although again these and other motives depend on firm and industry factors. We also find substantial differences in the roles played by patents for startups in the biotechnology and medical device sectors - where patents are more commonly used and considered important - as compared to those operating in the software and Internet fields - where they are less useful. Interestingly, venture-backed IT hardware startups tend to resemble those in health-related fields in terms of their use of and motives for patenting. We generally find a wide disparity between the patenting behavior of venture-backed technology startups and those that are not funded with venture capital. We also discover that, when choosing not to patent major innovations, startups often cite to cost considerations, although again the motives to forgo patenting differ according to firm and industry characteristics. The respondents to our survey also generally report that checking the patent literature and licensing patents from others is reasonably common, although there too results differ according to the context. Other findings are discussed.
Centenarians : the relative effec ts of genetics, diet and other lifestyle choices : a pilot study

Centenarians: The relative effects of genetics, diet and lifestyle choices: A pilot study Jennifer Church Major Advisor: Patricia Hogue Objective: Recognition and understanding of which factors, including genetics, diet and lifestyle contribute to the phenomenal longevity of centenarians. Method: Seven centenarians in Allen and Auglaize counties in Ohio were interviewed individually and asked open and close- ended questions relating to genetics, diet and lifestyle. Results: Lifestyle: 100% were non- smokers, 100% did not drink alcohol, 14% with DMII, 14% with history of cancer, 0% with depression, stroke or heart attack, 28% with HTN, 57% with heart disease. Diet: 100% fell within the normal range for BMI. Genetics: 71% with family members age 90 or older. Conclusion: Although genes have been discovered that prevent certain life-threatening diseases, non-genetic factors such as lifestyle choices including diet and exercise seem to play a significant contributory role. Further research is needed to determine the significance of each component.
Effects of Non-phytate Phosphorus and 1a-Hydroxycholecalciferol on Growth Performance, Bone Mineralization, and Carcass Traits of Broiler Chickens

This study evaluated the effects of dietary non-phytate phosphorus (NPP) and 1a-hydroxycholecalciferol (1a-OH-D3) on the growth performance, bone mineralization, and carcass traits of 1- to 21-day-old broiler chickens. On the day of hatch, 600 male Ross 308 chicks were weighed and randomly assigned to 12 treatments, with five cages of 10 birds each. A 6 × 2 factorial arrangement was applied, consisting of 0.20%, 0.25%, 0.30%, 0.35%, 0.40%, or 0.45% NPP and 0 or 5 μg/kg of 1a-OH-D3. The basal diet contained 0.52% calcium (Ca) and was not supplemented with vitamin D3. Dietary NPP levels significantly affected growth performance and tibia mineralization (except width) of broilers; by contrast, meat yield and organ relative weight were not influenced by NPP. The inclusion of 1a-OH-D3 improved growth performance, tibia mineralization, and carcass and breast yield, whereas it decreased the relative weights of the liver, heart, and kidney. A significant interaction between NPP and 1a-OH-D3 was observed for body weight gain (BWG), feed efficiency (FE), mortality, serum Ca and P levels, tibia breaking-strength, ash weight, and Ca content, as well as breast yield and heart relative weight. These results suggest that broilers fed with 5 μg of 1a-OH-D3 per kg of diet obtain optimal growth performance and tibia mineralization when dietary NPP level was 0.30% and the analyzed Ca to NPP ratio was 1.97.
Human multipotent mesenchymal stromal cells and their potential to differentiate into hepatocytes and beta cells

Dans le domaine de la medecine regenerative, la transplantation de cellules souches a gagne de l'interet pour le traitement de pathologies terminales de certains organes (coeur, foie, pancreas, poumons, reins). Actuellement, la transplantation hepatique est le seul traitement possible lors d'atteinte irreversible du foie. Le developpement d'alternatives therapeutiques lors de pathologies hepatiques est par consequent essentiel, et des traitements bases sur la therapie cellulaire en utilisant des cellules souches est une approche novatrice.
The compliant effect of controlled spine on interaction with the ground in quadruped trotting

The spine plays important roles in the quadruped locomotion. These effects not only stand out in high-speed gait but also function in low-speed gait, especially the transition gait – trotting gait. In order to investigate the effects of the spine on the motion performance of the quadruped trotting, the spine with two joints is applied into the structure of the quadruped robot. This structure is inspired from the analyses for the canine, which imitates the configuration of thoracic vertebra, front lumbar vertebra and hind lumbar vertebra. Different from the quadruped robot with the passive spine or the active spine by inputting position, a compliant control is applied to the spinal joints. The feature of force control not only possesses the soft feature of the passive spine but also has the advantage of enlarging the motion ability. In the simulation process, a large amount of analyses are carried out including the influence of the control parameters of the controlled spine, the comparison with the quadruped robot with rigid torso and the gait simulation when the robot moves on the flat ground and across an obstacle. The results reveal that the controlled spine has an excellent compliant effect on the interaction with the ground. It contributes to reducing the ground reaction forces; meanwhile, the compliant effect is beneficial for improving the stability. By establishing the prototype robot and performing the motion experiment, the compliant effect of the spine is proven effective.
Blue lasing at room temperature in an optically pumped lattice-matched AlInN=GaN VCSEL structure

Laser action with low threshold average pump power density (similar to 50 W. cm(-2)) at room temperature is reported for a crack-free planar vertical cavity surface emitting laser (VCSEL) structure based on a bottom lattice-matched AllnN/GaN distributed Bragg reflector (DBR) and a top dielectric DBR. The cavity region, formed by n- and p-type GaN layers surrounding only three InGaN/GaN quantum wells, corresponds to a typical active region suitable for an electrically driven VCSEL. In addition to low threshold, a spontaneous emission coupling factor beta 2 x 10(-3) is derived for this ready-to-be-processed laser structure.
On the stability of the satellites of asteroid 87 Sylvia

The triple asteroidal system (87) Sylvia is composed of a 280-km primary and two small moonlets named Romulus and Remus (Marchis et al. 2005b). Sylvia is located in the main asteroid belt, with semi-major axis of about 3.49 au, eccentricity of 0.08 and 11° of orbital inclination. The satellites are in nearly equatorial circular orbits around the primary, with orbital radius of about 1360 km (Romulus) and 710 km (Remus). In this work, we study the stability of the satellites Romulus and Remus. In order to identify the effects and the contribution of each perturber, we performed numerical simulations considering a set of different systems. The results from the three-body problem, Sylvia-Romulus-Remus, show no significant variation of their orbital elements. However, the inclinations of the satellites present a long-period evolution with amplitude of about 20° when the Sun is included in the system. Such amplitude is amplified to more than 50° when Jupiter is included. These evolutions are very similar for both satellites. An analysis of these results shows that Romulus and Remus are librating in a secular resonance and their longitude of the nodes are locked to each other. Further simulations show that the amplitude of oscillation of the satellites' inclination can reach higher values depending on the initial values of their longitude of pericentre. In those cases, the satellites get caught in an evection resonance with Jupiter, their eccentricities grow and they eventually collide with Sylvia. However, the orbital evolutions of the satellites became completely stable when the oblateness of Sylvia is included in the simulations. The value of Sylvia's J 2 is about 0.17, which is very high. However, even just 0.1 per cent of this value is enough to keep the satellite's orbital elements with no significant variation.
The Stochastic Fejér-Monotone Hybrid Steepest Descent Method and the Hierarchical RLS

This paper introduces the stochastic Fejér-monotone hybrid steepest descent method (S-FM-HSDM) to solve affinely constrained and composite convex minimization tasks. The minimization task is not known exactly; noise contaminates the information about the composite loss function and the affine constraints. S-FM-HSDM generates sequences of random variables that, under certain conditions and with respect to a probability space, converge point-wise to solutions of the noiseless minimization task. S-FM-HSDM enjoys desirable attributes of optimization techniques such as splitting of variables and constant step size (learning rate). Furthermore, it provides a novel way of exploiting the information about the affine constraints via fixed-point sets of appropriate nonexpansive mappings. Among the offsprings of S-FM-HSDM, the hierarchical recursive least squares (HRLS) takes advantage of S-FM-HSDM's versatility toward affine constraints and offers a novel twist to LS by generating sequences of estimates that converge to solutions of a hierarchical optimization task: minimize a convex loss over the set of minimizers of the ensemble LS loss. Numerical tests on a sparsity-aware LS task show that HRLS compares favorably to several state-of-the-art convex, as well as non-convex, stochastic-approximation, and online-learning counterparts.
Global Adaptation Controlled by an Interactive Consistency Protocol

Static schedules for systems can lead to an inefficient usage of the resources, because the system’s behavior cannot be adapted at runtime. To improve the runtime system performance in current time-triggered Multi-Processor System on Chip (MPSoC), a dynamic reaction to events is performed locally on the cores. The effects of this optimization can be increased by coordinating the changes globally. To perform such global changes, a consistent view on the system state is needed, on which to base the adaptation decisions. This paper proposes such an interactive consistency protocol with low impact on the system w.r. t. latency and overhead. We show that an energy optimizing adaptation controlled by the protocol can enable a system to save up to 43% compared to a system without adaptation.
¿Cómo Explicar La Prosperidad De Los Países? Tres Teorías En Disputa Y Un Esbozo De Convergencia (How to Explain National Prosperity? Three Theories under Discussion and a Convergence Outline)

In this paper three theoretical approachesthat explain the prosperity of countries arereviewed and compared. Each of them emphasizesthe impact of a particular dimension ofconditioning factors: geography, culture orinstitutions. After showing the compatibilitiesand incompatibilities between these approaches,it is proposed that they are complementaryto each other, so it would be fruitfulto develop a multifactorial theory of prosperity.This theory should consider the influence ofcontextual factors (e.g. geography, culture, institutions)and economic elements, in additionto understanding that different dimensions offactors a) influence each other, b) show theirimpact on different time scales and c) affectthe economic development at historically variablelevels
rassland carbon sequestration and emissions following cultivation in a mixed rop rotation harat

Grasslands are potential carbon sinks to reduce unprecedented increase in atmospheric CO2. Effect of age (1–4-year-old) and management (slurry, grazing multispecies mixture) of a grass phase mixed crop rotation on carbon sequestration and emissions upon cultivation was compared with 17-year-old grassland and a pea field as reference. Aboveground and root biomass were determined and soils were incubated to study CO2 emissions after soil disturbance. Aboveground biomass was highest in 1-year-old grassland with slurry application and lowest in 4-year-old grassland without slurry application. Root biomass was highest in 4-year-old grassland, but all 1–4-year-old grasslands were in between the pea field (0.81 ± 0.094 g kg−1 soil) and the 17-year-old grassland (3.17 ± 0.22 g kg−1 soil). Grazed grasslands
Circumstances Related to the Reporting of Bad News in the Medical Profession

Abstract In the medical profession, communicating bad news about a malignant formation is often associated with experience, obstacles, and problems faced by the medical professionals and related to the communication with the patient. Our survey included 232 medical specialists - doctors and nurses with diverse internship in the profession and working in Bulgarian healthcare facilities. It aimed to find: (i) the most common difficulty in communicating the bad news to cancer patients, (ii) the most difficult aspects of that information, and (iii) the specific words the medical professionals prefer to avoid when communicating the bad news. Also, the medical specialists were asked about the factors with the largest interference with the disclosure of the bad news to the patients. The survey results show that only 66% of the medical professionals are ready to respond directly and definitively to the question from the patient if he/she has cancer. Almost all of the surveyed medical specialists believed that the most difficult part of communicating the bad news was related to the prognosis of the disease and the survival expectancy; many of the medical professionals preferred to avoid the word "cancer", and the fatality of the disease was the most common barrier in communicating bad news, followed by the relatives’ negative position towards bringing up the bad news to the patient, and the low level of patient’s education and the short life expectancy. The study shows the need for support and training of the medical professionals in addressing bad news situations and the importance of the protocols with guidelines and steps to be performed during that communication.
Resource-Aware Large-Scale Cooperative 3 D Mapping using Multiple Mobile Devices

In this paper, we address the problem of cooperative mapping (CM) using datasets collected by multiple users at different times, when the transformation between the users’ starting poses is unknown. Specifically, we formulate CM as a constrained optimization problem, where each user’s independently estimated trajectory and map are merged together by imposing geometric constraints between commonly-observed point and line features. Additionally, we provide an algorithm for efficiently solving the CM problem, by taking advantage of its structure. The proposed solution is proven to be batch-least-squares (BLS) optimal over all users’ datasets, while it is less memory demanding and lends itself to parallel implementations. In particular, our solution is shown to be faster than the standard BLS solution, when the overlap between the users’ data is small. Furthermore, our algorithm is resource-aware as it is able to consistently trade accuracy for lower processing cost, by retaining only an informative subset of the common-feature constraints. Experimental results based on visual and inertial measurements collected from multiple users within large buildings are used to assess the performance of the proposed CM algorithm.