Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal Design of ORC Turbine Blades Under Geometric and Operational Uncertainties

Typical energy sources for Organic Rankine Cycle (ORC) power systems feature variable heat load, hence turbine inlet/outlet thermodynamic conditions. The use of organic compounds with heavy molecular weight introduces uncertainties in the fluid thermodynamic modeling and complexity in the turbomachinery aerodynamics, with supersonic flows and strong shocks, which grow in relevance in the aforementioned off-design conditions. These features also depend strongly on the local blade shape, which can be influenced by the geometric tolerances of the blade manufacturing. This study presents a Robust Optimization (RO) analysis on a typical supersonic nozzle cascade for ORC applications under the combined effect of uncertainties associated to operating conditions and geometric tolerances: a classical formulation consisting in minimizing the mean of a well-suited performance function, constraining the average mass flow rate to be within a prescribed range is addressed, by means of a bi-level Gaussian Process (GP) surrogate-based approach. Influence of the operating conditions range and geometric variability are investigated considering several scenarios, in which the different effects act in combination or separated; results indicate that the combination of different classes of uncertainites has an impact on the robust-optimal blade shape and, in turn, in their response in the frame of uncertain scenarios.
Social Security Reform, Occupational Retirement and the Heterogeneous Roles of Physical and Cognitive Health∗

This paper develops and estimates a structural dynamic programming model of retirement and savings with focus on the interplay between different dimensions of health and occupations, as well as its policy implications for Social Security reforms. Motivated by our reduced form evidence, the model incorporates not only physical health but also cognitive health. It allows for the heterogeneous retirement effects across occupations of both dimensions of health via leisure, wages, medical expenditure and mortality. Model is estimated by indirect inference using Health Retirement Survey data. The findings suggest that the effects of physical and cognitive health on labor force participation at older ages vary across occupations. Moreover, in terms of both dimensions of health as a whole, health turns out to affect the labor supply at older ages more in the sedentary occupations. This paper also quantifies the importance of the four channels through which health can affect retirement for both physical and cognitive dimensions. Finally, this paper simulates the heterogeneous response in retirement across occupations under proposed Social Security reforms.
Impartial Assignment of m prizes

We model a situation where a group of n peers must allocate m ordered tasks (2 ≤ m < n) among themselves in such a way that a peer’s message can not influence any decision regarding the pairwise comparison between his and the task of any other agent. We will call this requirement impartiality. We assume that all agents have the same preferences over the available tasks, hence we entitle the set of available tasks as ordered.
Computer Vision Based Feature Extraction of Flower for Identification of Medicinal Values of Plants

: Plants play a vital role in the field of Indian science of medicine called Ayurveda. Apart from serving as source of food, some plants have medicinal properties. Even though in our surrounding we have medicinal plants, we can’t get it at our door step instead we refer fastest cure without knowing its side effects. The reason behind this is lack of knowledge about medicinal plant among the normal ones. So, a Vision based technique has been used to create automated system which helps even common man to identify medicinal plant around them. The main goal is to extract certain features from the input image by applying different techniques like thresholding, segmentation. In processing stage the input image is applied to SVM classifier in order to classify image. In this paper, it is analyzed that medicinal plant have successfully rate using image processing.
Acoustic Event Classification using MFCC and MP Algorithm

—This paper presents our experiments on acoustic scene classification . Classification of acoustic scene to extract the audio features is a tough task because of the diversity in their nature. Extracting the appropriate features is an important task for increasing the efficiency of the classification. Using MFCC features alone will not achieve a maximum efficiency in characterization of acoustic scenes. Here we use MFCC algorithm along with MP Algorithm to classify the acoustic scenes. Here we use Support Vector Machine Algorithm to train the machine. Classifier model is built using libSVM for training samples and the machine is then able to recognize various acoustic Scenes. Results shows that Acoustic scene classification achieves better accuracy when MP algorithm is used along with MFCC.
Learning parts-of-speech through distributional analysis. Further results from Brazilian Portuguese

A model of part-of-speech (or syntactic category) learning through distributional analysis – as a task in the language acquisition process – is presented here. It is based on Redington et al.'s (1998) model, but the input data used comes from publicly available corpora of both child-directed speech and speech between adults in Brazilian Portuguese. Results from four (out of nine) experiments are presented and discussed: experiments 2, 3, 4, and 7, of the original study. These experiments investigate variables such as the number of target and context words (2) and corpus size (4), and evaluate also the value of distributional information for different categories (3) and the learner's performance when functional categories are removed from the corpus (7). In general, our results support Redington et al.'s, although we find some few differences. We also evaluate the cosine metric, comparing it with performance obtained with the spearman rank correlation metric used in Redington et al.'s study. The latter seems to produce better results.
Study Title: Evaluating How Best to Train Classroom Teachers to Deliver Mindfulness Training Competently in School Settings: A Cluster-Randomised Feasibility Study

This research does not fall under the Research Governance Framework in the UK and as such does not formally require a sponsor. The University of Oxford takes responsibility for the research but a sponsorship review by the Clinical Trials and Research Governance team has not been carried out. It has, however, been reviewed by Oxford University Medical Sciences Division Ethics Committee MS-IDREC-C1-2015-048
Combination of Di(cid:27)erent Tracking Systems

Current tracking systems have reached a high level of sophistication with many companies and enterprises participating in the research and development. Unfortunately, none of these products o(cid:27)ers quality and accuracy at the same time or at least does not have some other major disadvantage. This work introduces a Combination of Di(cid:27)erent Tracking Systems to create a robust and accurate service that utilizes the advantages of the used tracking subsystems and that compensates their weaknesses. The idea is realised in the Generic Tracker. It is based on the open VRPN interface which o(cid:27)ers a front-end to access and control multiple tracking systems. Featuring both, extrapolation and interpolation as well as a (cid:28)lter to increase accurray and reliability, the Generic Tracker uses the collected measurements and creates a robust and generic service. To evaluate the capabilities, the quality and the usability, the generic tracker is tested on two representative tracking scenarios:
Classiﬁcation Using C5.0

C4.5 (Quinlan, 1993) is a classification methodology that was developed in the same era as the classification and regression tree (CART) methodology (Breiman et al., 1984) but is more widely known outside of statistics. The model can the the form of a tree–based model or a set of distinct rules. C5.0 is an evolved version of this algorithm and, although it is very similar to C4.5, very little has been published on the primary improvements: feature selection (“winnowing”) and boosting. In 2010, Quinlan created an open– source version of the software, which we adapted into the C50 package. This talk briefly describes in the improvements in C5.0 as well as the functionality available in the package.
Translational control of the heat shock response in Xenopus oocytes

It has been suggested that the heat shock response of Xenopus oocytes might provide a good model system to study the regulation of translation in early development: oocytes were thought to contain a store of hsp70 mRNA, which was unmasked reversibly on heat shock. However, more recently it has been reported that the hsp70 apparently synthesized in oocytes is in fact made entirely in the attached follicle cells. A method was developed to reliably remove follicle cells. Two-dimensional gel analysis of radioactively labelled oocytes revealed that, although hsp70 was the major protein synthesized during heat shock if follicle cells were present, it could not be detected if these cells were removed. Oocytes do contain up to 15pg of hsp70 mRNA; it is not clear if this is translated. In some experiments synthesis of a group of proteins was induced in oocytes during heat shock, but none was hsp70. To test whether oocytes can synthesize hsp70, plasmids encoding Xenopus hsp70 genes were injected. These were transcribed efficiently, yielding RNA that was indistinguishable in length and polyadenylation status from heat-induced transcripts in follicle cells. Synthesis of hsp70 was detected in defol1iculated, injected oocytes: it was translated well even during heat shock (when translation of other mRNAs was greatly reduced), suggesting that oocytes regulate translation of exogenous transcripts appropriately. Surprisingly, flu nucleoprotein RNA transcribed in oocytes was also preferentially translated during heat shock in some experiments. The 5' leaders of hsp70 and NP RNAs contain a region of homology. As injection of RNA provides a more direct way of controlling transcript levels in oocytes, polyadenylated RNA encoding hsp70 was transcribed in vitro (from a variety of templates) and injected into oocytes. Products of a hsp70/globin fusion and a truncated hsp70 gene were never detected. Native hsp70 was synthesized, but it was not made preferentially during heat shock. Similarly, when influenza NP mRNA was injected, preferential translation was never observed. It appears therefore that exogenous RNA is regulated appropriately during heat shock when it is introduced by the route of DNA injection, but not when RNA itself is injected.
Why Do People Volunteer on Crisis Hotlines ?

The authors conducted a qualitative study to investigate volunteers’ motivations for volunteering on a crisis hotline. Typically, crisis hotline volunteers commit to intensive training and a contract to volunteer for a certain length of time. Crisis hotline volunteers handle calls on difficult topics including mental illness and suicide. Crisis hotline staff often struggle to recruit volunteers because of the considerable time commitment and taxing work. Researching crisis hotline volunteers’ motivations may lead to improved recruitment and retention efforts. Researchers found that giving back to the community, altruism, finding the work challenging, personal experience with crisis and suicide, and having time to volunteer were major motivations for volunteering at a crisis hotline.
Agency Culture , Training and Technological Application as Predictors of Commercial Crime Investigators Effectiveness

The unique role played by commercial crime investigators in the civilized society cannot be overemphasized. They are very critical societal agents for the attainment, preservation and promotion of security in the society. This has made many psychologists, criminologists and sociologists to stress the importance of understanding the institution of investigating and policing. This study therefore examined the influence of agency culture, training and technological application on commercial crime investigators‟ effectiveness across four agencies (Police, EFCC, Customs, and NDLEA) in Nigeria. The study also looked at the moderating influence of gender, academic qualification and cadre on the combined and relative contributions of agency culture, training and technology application on professional effectiveness of commercial crime investigators. This study used a descriptive survey design of ex-post-facto type. One thousand and two hundred participants, selected through a combination of purposive and stratified random sampling techniques were drawn from commercial crime investigating units of the Police, EFCC, Customs and NDLEA in Lagos State. Data were collected using two adopted and three adapted instruments. The reliability coefficients yielded by the instruments were: Agency Culture Inventory, 0.88; Training Effectiveness Scale, 0.73; Technology Application Inventory, 0.91; and Commercial Crime Investigators Effectiveness Scale, 0.81. Two null hypotheses were tested at 0.05 level of significance, while data were analyzed using of means, standard deviation and Multiple Regression Analysis. Results indicated that all the predictor variables (culture, training, and technological application) jointly predicted commercial crime investigators‟ effectiveness (R = .432; R 2 = .187; Adj. R 2 = .183; F (4, 1174) = 19.344; p <. 05); while the most potent predictor of commercial crimes investigators‟ effectiveness among the predictor variables of the study was training (β = .372; t = 8.419; p < .05), followed by agency culture (β= .300; t = 6.335; p <.05), and lastly by technological application (β= .261; t = 4.456; p <.05). The study concluded that training, agency culture, and technological application jointly and relatively predicted commercial crime investigators‟ effectiveness. It was recommended, amongst others, that the agencies for fighting crimes in Nigeria should be strengthened, through constant training, promotion of the right values and state of-the-art technology. Relative autonomy of the agencies would also empower them to deal with commercial crimes more effectively.
Reproductive Endocrinology And Infertility: Handbook For Clinicians (pocket Sized) By Dan I. Lebovic

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Non-small cell lung cancer, pleural effusion and carcinomatosis: always a criterion of inoperability?

Pleural carcinomatosis is detected in only 8–15% of patients with non-small cell lung cancer (NSCLC) at the moment of initial diagnosis, whilst in 40–50% of them it will be confirmed during the disease progression. In 12.5% of patients with NSCLC and malignant pleural disease (MPD), there is no evidence for distant metastases. IASLC reported that 1and 5-year survival of patients with carcinomatous pleuritis were 36% and 2%, respectively. That is why the most of modern clinical guidelines and consensus, do not recommend routinely performing radical surgical interventions in patients with ipsilateral pleural dissemination, considering this as the IV stage NSCLC, which should be treated by conservative systemic/ chemoradiation therapy (CRT). Nevertheless, it should be recognized that using only conservative methods of treatment is not always quite effective, so that various types of palliative and symptomatic surgical interventions could be used according to modern clinical recommendations. There are continuing attempts to improve the long-term results of treatment of these patients. In a number of recent publications, the usefulness of the surgical treatment including resection of the primary tumor in patients with NSCLC M1aMPD is described, with declared MS ranged from 13 to 52 months. After thorough study of available literature data we can summarize that it is impossible to make reasonable, unambiguous conclusions about the feasibility, effectiveness, safety and optimal extent of resection in this category of patients. Particularly all authors note the need to conduct randomized controlled trials taking into account the alleged high potential to use the modern combined and complex treatment methods.
Supplementary File to “Non-local Image Smoothing with Objective Evaluation”

We perform standard Haar transformation and inverse Haar transformation with no modification. Moreover we set q = 4, m = 16 in all experiments, so the similar pixels matrix S ∈ R4×16 could be represented by columns as S = [s1, . , s16] ∈ R4×16. The Haar transformation includes horizontal and vertical transformation. We first apply the horizontal transformation. Specifically, we multiply the similar pixels matrix S ∈ R4×16 and the horizontal transformation matrix Hr ∈ R16×16:
A STUDY ON THE IMPACT OF EMPLOYER BRANDING ON ATTRACTING UNDERGRADUATE MANAGEMENT STUDENTS WITH REFERENCE TO BANKING INDUSTRY

The paper focuses on identifying and studying the impact of employer branding on attracting the final year undergraduate management students to the banking industry in India. Employer branding in general is an employer’s reputation as a place to work and it is how the organization represents itself to the potential and the current employees. Employer branding in the paper has been considered as primarily comprising of job awareness and company characteristics in terms of workplace environment. The data collection was implemented through a survey conducted across business schools in India through an online questionnaire, with a sample size of 276 respondents from different undergraduate course backgrounds. Considering the dynamic disruptions surfacing in the Indian banking industry in the last few years, the paper attempts to establish a relationship on the impact of employer branding on attracting the best talent from the B-schools.
White-labels, brands and trust: How mutual fund labels affect retirement portfolios

Generic, or “white-label,” investment options are popular funds in retirement plans. Plan sponsors can assemble white-label options from multiple funds, thus raising diversification and enabling easier modifications to option components. This study shows how plan participants react to white-label and branded options, and, specifically, how brand trust alters participants’ allocations to white-label options. Using online experiments engaging 952 currently employed retirement-plan participants from the Understanding America Study panel, participants make incentivized investment allocations and predict investment returns using distribution builders. Study one compares white-label options with otherwise-equivalent, highly (poorly) trusted branded options. Study two compares white-label options with options labelled with an employer’s name. Employers may want to put their name on white-label options to promote the company’s benefits and brand among their employees. We have several key findings. First, plan participants allocate significantly more to trusted brands when choosing between otherwise equivalent investment options. Options showing highly trusted brand names are more attractive than equivalent white-label options, and the reverse holds for poorly trusted brand names. It follows that highly trusted brands could capitalize by displaying their names on investment options. Less-trusted brands could consider generic labelling. Second, options showing the names of highly trusted employers are more attractive to plan participants than equivalent white-label options. Plan sponsors could consider adding the names of trusted employers to white-label options. Finally, participants generally expect higher returns and lower risk from options that display the name of a highly trusted brand. Together the results have important implications for how plan sponsors and fund managers present investment options to participants.
National Conference 1 Sediment Accumulation Rate within the Reservoirs in the Lake Erie Basin

During and after a particularly strong flood event, a considerable amount of sediment load delivers into the water bodies. A portion of the sediment that flows along with the river deposits within the reservoirs, and eventually shortens the lifespan of the reservoir. Many of the dams within the Great Lakes Basin are between 100 and 120 years old, and there is a reasonable concern that these dams and their associated reservoirs may be reaching their capacity for sediment storage. There are numerous risks associated with this situation. Dam failure or removal result in releasing sediment to the downstream and deteriorating the natural habitat, water quality, and depositing sediment on the flood plains and harbors. This research investigates the historical function of dams as sediment storage points in the Lake Erie Basin. To better understand the historical and current sediment yield within the Lake Erie watershed, the Soil and Water Assessment Tool model of Ballville Dam and Lake Rockwell Dam watershed were developed. SWAT predicted that the sediment accumulation rate within Ballville Dam reservoir varied between 10,000 and 92,000 (tn/yr) from 1980 to 1999, and within the Lake Rockwell Dam the rate was between the minimum of 57,000 and the maximum 167,000 (tn/yr) from 1988 to 2007.
Quality Adaptation and Resource Allocation for Scalable Video in D2D Communication Networks

Recently fifth-generation (5G) of cellular networks appeared to enable various smart bandwidth thirsty applications. Frequency re-usability via device-to-device (D2D) communication is one of the possible ways to enhance the 5G network throughput. However, despite these technological advancements in cellular networks, users’ Quality of Experience (QoE) is significantly affected by video quality adaptation according to future network conditions for video streaming. In this paper, we jointly formulate D2D pair association, video quality adaptation, and network resource allocation for scalable video streaming in a D2D communication network. The formulated problem is a mixed-integer linear programming problem and has a combinatorial nature. Thus, the formulated problem is decomposed into two subproblems: D2D pair association subproblem and resource allocation subproblem. The D2D pair association subproblem is a combinatorial optimization problem, to solve it a distributed algorithm is proposed based on two sided-matching theory. On the other hand, resource allocation subproblem is solved using conventional linear optimization techniques to get the boundary solution. Furthermore, a fully distributed quality adaptation scheme is presented using the proposed resource allocation algorithm for layered video. To validate the performance of our proposal, we perform numerical simulations for various scenarios.