Miracle-dz/UniFAR-FTUs huggingface dataset:
Solar drying and organoleptic characteristics of two tropical African fish species using improved low-cost solar driers

This study was done to evaluate the drying performance, efficiency, and effectiveness of five different types of improved low-cost solar driers in terms of moisture loss from two tropical African fish species Clarias gariepinus (African sharp tooth catfish) and Oreochromis niloticus (Nile tilapia) and testing the organoleptic characteristics of the dried samples. The driers used were made from plastic, aluminum, glass, glass with black igneous stone, and mosquito net, with traditional direct open-sun drying as a control. A significant (P < 0.05) decrease in weight resulting from moisture loss in the two fish species was observed in all the driers, with the highest reduction occurring in the glass drier containing black stone. The rate of weight loss was faster in the first 4 days of drying with black stone-inserted glass drier showing the fastest drying rate with a constant weight in C. gariepinus attained on the 11th day and in O. niloticus on the eighth day. The slowest drier was plastic where a constant weight of the species were recorded on and 13th day and 11th day, respectively. Volunteers were used to assess the organoleptic characteristics of the dried samples and they showed lowest acceptability for the open-sun drying, while samples from the glass drier containing black stone had the highest acceptability in terms of the taste, flavor, appearance, texture, odor, palatability, and shelf-life. The low-cost solar driers were effective found in removing water from the fish resulting in significant loss of weight and moisture. The highest drying time, efficient performance, drying effectiveness, and high acceptability of the organoleptic parameters of the dried products from the black stone-inserted glass drier were due to the ability of the glass and the black stone to retain, transmit, and radiate heat to the fish sample all the time (day and night). These low-cost driers are simple to construct, materials for its construction readily available, easy to maintain and operate, hygienic in use, reliable, effective, occupies less area, dry products faster with increased shelf-life, save man-hour, user-friendly, use renewable energy, protect the drying samples from filthiness, wetness, and invasion by pests, insects, and microbes, with well-dried, high-quality, and better preserved final products. The adoption and use any of these low-cost solar driers by artisanal fishermen and general household in sub-Saharan Africa will not only help in reducing post catch losses, but also ensure food safety and security as there is abundant solar energy in these sub-Saharan African tropical countries for the operation of the driers.
Classifying field crash reports for fixing bugs: A case study of Mozilla Firefox

Many software systems support automatic collection of field crash-reports which record the stack traces and other runtime information when crashes occur. Analysis of field crash-reports can help developers to locate and fix bugs. However, the amount of crash-reports collected is often too large to handle. To reduce the amount of data for the analysis, the existing approaches group similar crash-reports together. A bug can trigger a crash in different usage scenarios. Therefore, the crash-reports triggered by the same bug may not be identical. Using the existing approaches, the crash-reports triggered by the same bugs can be distributed into different groups and one group may contain crash-reports triggered by different bugs. We perform an empirical study of crash-reports collected for Mozilla Firefox to analyze the impact of crash-report grouping and identify the characteristics of an efficient grouping. We observe that when a group contains crash-reports triggered by multiple bugs, it takes longer time to fix the bugs in comparison to the bugs where crash-reports triggered by each bug are grouped separately. To effectively reduce the bug fixing time, we propose a grouping approach, such that, each group contains the crash-reports triggered by only one bug. The case study shows that an effective grouping can reduce the bug fix time by more than 5%.
Getting good government : capacity building in the public sectors of developing countries

The creation and preservation of capable states is a lengthy, laborious, and multifaceted process, fraught with opportunities for failure and misspent resources. It requires time, commitment, innovative ideas, consensus building, new rules of the game, efficient design and resource allocation in technical assistance, and considerable good luck. By the mid-1990s, the imperative to improve government performance had been added to the development agenda precisely because of greater awareness that neither markets nor democracies could function well or perhaps function at all unless governments efficiency, effectiveness, and responsiveness are improved. This publication seeks to help understand how governments can be encouraged to perform better and how state capabilities can be developed in ways that allow markets and democracies to flourish. The contributors draw comparative lessons from specific efforts designed to enhance human resource development in the public sector, to strengthen organizations that contribute to the public purpose of government, and to reform the institutions that set the rules for economic and political interaction. The book should be of interest not only to public officials and public management and policy analysts, but also to political scientists and international development specialists.
Was this review helpful to you?: it depends! context and voting patterns in online content

When a website hosting user-generated content asks users a straightforward question - "Was this content helpful? " with one "Yes" and one "No" button as the two possible answers - one might expect to get a straightforward answer. In this paper, we explore how users respond to this question and find that their responses are not quite straightforward after all. Using data from Amazon product reviews, we present evidence that users do not make absolute, independent voting decisions based on individual review quality alone. Rather, whether users vote at all, as well as the polarity of their vote for any given review, depends on the context in which they view it - reviews receive a larger overall number of votes when they are 'misranked', and the polarity of votes becomes more positive/negative when the review is ranked lower/higher than it deserves. We distill these empirical findings into a new probabilistic model of rating behavior that includes the dependence of rating decisions on context. Understanding and formally modeling voting behavior is crucial for designing learning mechanisms and algorithms for review ranking, and we conjecture that many of our findings also apply to user behavior in other online content-rating settings.
Response to Comment on “Analysis of the Cellular Mechanism of Antitumor Responses and Autoimmunity in Patients Treated with CTLA-4 Blockade”

We have demonstrated previously that the administration of CTLA-4 blockade has mediated objective cancer regression and autoimmunity in patients with metastatic melanoma. To explore the mechanism of these in vivo effects, we have studied the changes in lymphocyte phenotype and function in patients receiving anti-CTLA-4 Ab (MDX-010). Patients with stage IV melanoma or renal cell cancer were treated every 3 wk with an anti-CTLA-4 Ab with or without peptide immunization. Pheresis samples were analyzed using flow cytometry to determine lymphocyte cell surface markers. Gene expression analyses and proliferation assays were conducted on purified T cell subsets. Anti-CTLA-4 Ab did not inhibit the suppressive activity of CD4+CD25+ cells in vitro or in vivo. In addition, there was no decrease in the expression of CD4+CD25+ cells in whole PBMC, nor a decrease in Foxp3 gene expression in the CD4+ or CD4+CD25+ purified cell populations posttreatment. The percentage of CD4+, CD8+, CD4+CD25+, and CD4+CD25- T cells in PBMC expressing the activation marker HLA-DR increased following anti-CTLA-4 Ab administration. Therefore, our results suggest that the antitumor effects of CTLA-4 blockade are due to increased T cell activation rather than inhibition or depletion of T regulatory cells.
The Reaction of Bank Lending to Monetary Policy Measures in Germany

A crucial condition for the existence of a credit channel through bank loans is that monetary policy should be able to change bank loan supply. This paper contributes to the discussion on this issue by presenting empirical evidence from dynamic panel estimations based on a dataset that comprises individual balance sheet information on all German banks. It shows that the average bank reduces its lending more sharply in reaction to a restrictive monetary policy measure the lower its ratio of short-term interbank deposits to total assets. A dependence on its size can only be found if explicitly controlled for this dominating effect and/or if the very small banks are excluded. Overall, the evidence is compatible with the existence of a credit channel JEL Classification: C23, E52, G21
River trail: a path to parallelism in JavaScript

JavaScript is the most popular language on the web and is a crucial component of HTML5 applications and services that run on consumer platforms ranging from desktops to phones. However, despite ample amount of hardware parallelism available to web applications on such platforms, JavaScript web applications remain predominantly sequential. Common parallel programming solutions accepted by other programming languages failed to transfer themselves to JavaScript due to differences in programming models, the additional requirements of the web and different developer expectations. In this paper we present River Trail - a parallel programming model and API for JavaScript that provides safe, portable, programmer-friendly, deterministic parallelism to JavaScript applications. River Trail allows web applications to effectively utilize multiple cores, vector instructions, and GPUs on client platforms while allowing the web developer to remain within the environment of JavaScript. We describe the implementation of the River Trail compiler and runtime and present experimental results that show the impact of River Trail on performance and scalability for a variety of realistic HTML5 applications. Our experiments show that River Trail has a dramatic positive impact on overall performance and responsiveness of computationally intense JavaScript based applications achieving up to 33.6 times speedup for kernels and up to 11.8 times speedup for realistic web applications compared to sequential JavaScript. Moreover, River Trail enables new interactive web usages that are simply not even possible with standard sequential JavaScript.
2-Hour Postload Serum Glucose Levels and Maternal Blood Pressure as Independent Predictors of Birth Weight in “Appropriate for Gestational Age” Neonates in Healthy Nondiabetic Pregnancies

Introduction. Increased neonatal birth weight (NBW), often associated with diabetic pregnancies, is a recognized indicator of childhood obesity and future metabolic risk. Predictors of NBW in healthy non-diabetic pregnancies are not yet established. Here, we investigated the association of maternal parameters of healthy non-diabetic mothers with NBW of their “appropriate-for-gestational age” neonates. Methods. The study involved 36 healthy mother/infant pairs. Examined parameters included NBW, maternal age, first and last trimester (BMI), weight gain, fasting serum lipids and glucose, 2-hour postload glucose levels and blood pressure. Results. Postload-glucose levels were significantly higher in mothers of heavier neonates. ANOVA results indicated that 15% increase in postload-glucose levels corresponded to more than 0.5 Kg increase in NBW in the third tertile. NBW correlated positively with postload glucose levels, and negatively with systolic blood pressure. Regression analysis showed that the main predictors of NBW were postload-glucose levels (B = 0.455, P = 0.003), followed by systolic blood pressure (B = −0.447, P = 0.004), together predicting 31.7% NBW variation. Conclusion. This study highlights that increased maternal postload sugar levels and blood pressure, within the normal range, highly predicts NBW of healthy mothers. These findings may provide focus for early dietary intervention measures to avoid future risks to the mother and baby.
Understanding American Sports

Introduction 1. An Introduction to the United States 2. The Evolution of American Sports 3. A Nation of Immigrants 4. The Relevance of Baseball 5. Football Games 6. Sport Organisations and Institutions - Colleges, Schools and Professional Leagues 7. Physical Education and Sports in American Schools 8. Professional Sport - Development and Organization 9. Fitness and Recreational Sport 10. Sport and Race 11. Women and Sport: The Long Road to Liberation 12. The Cultural Importance of Sports Heroes 13. Sport, Media, Consumption 14. Sport as Big Business
Soft supersymmetry breaking in deformed moduli spaces, conformal theories, and Script N = 2 Yang-Mills theory

We give a self-contained discussion of recent progress in computing the non-perturbative effects of small non-holomorphic soft supersymmetry breaking, including a simple new derivation of these results based on an anomaly-free gauged U(1)(R) background. We apply these results to N = 1 theories with deformed moduli spaces and conformal fixed points. In an SU(2) theory with a deformed moduli space, we completely determine the vacuum expectation values and induced soft masses. We then consider the most general soft breaking of supersymmetry in N = 2 SU(2) super-Yang-Mills theory. An N = 2 superfield spurion analysis is used to give an elementary derivation of the relation between the modulus and the prepotential in the effective theory. This analysis also allows us to determine the non-perturbative effects of all soft terms except a non-holomorphic scalar mass, away from the monopole points. We then use an N = 1 spurion analysis to determine the effects of the most general soft breaking, and also analyze the monopole points. We show that naive dimensional analysis works perfectly. Also, a soft mass for the scalar in this theory forces the theory into a free Coulomb phase.
The nature of the broad-line region in the radio-loud active galactic nucleus 3C 390.3

We present an analysis of the ultraviolet and X-Ray variability of the Broad- Line-Radio Galaxy 3C390.3 over 15 years. The UV continuum showed large variations with amplitudes of up to a factor of 10. We find: (1) The variations of CIV and Ly_alpha are highly correlated with the UV continuum, and are delayed with respect to the continuum variations by 50-110 days with the red wing of both CIV and Ly_alpha , leading the blue wing; (2) The CIV/Ly_alpha ratio is positively correlated with both the continuum flux and UV line strength, a behavior different from other AGNs studied so far; (3) The blue sides of the Ly_alpha and CIV profiles are similar to the blue side of the Balmer lines, while the red sides are different, suggesting a different origin for the red peak in the Balmer lines. Our results suggest: (1) The broad CIV and Ly_alpha emitting gas is infalling towards the central object; (2) The overall behaviour of the CIV/Ly_alpha ratio and the absence of a big blue bump, strongly indicate the coexistence of optically thick as well as optically thin BLR clouds; (3) Assuming circular symmetry and predominantly circular motion, the BLR gas is situated at 83$\pm$25 lightdays from the central source; (4) Under these assumptions and with the derived circular velocity of $v_{rot} \simeq$ 2850 km s$^{-1}$, the central mass inside this radius is confined to $1.3~10^8 M\odot < M_{CM}< 4.0~10^8 M\odot$; (6) Comparing our results with those obtained from VLBI and observations of the Fe $K\alpha$ line, suggests the association of the BLR with a disk, inclined at 98$\pm$12 degrees with respect to the direction of superluminal motion of the radio blobs.
The problem of characterizing derivatives revisited

“It will be noticed . we have adopted as one of our assumptions the condition that the integrand should be a differential coefficient with respect to one of the variables . In the present state of our knowledge we cannot give any but very special sets of sufficient conditions that a function should have the property of being a differential coefficient, so that the introduction of a condition of this form is not often of direct use in practice. Its importance in theory is, however, not affected by these considerations, and it has on other grounds seemed to me desirable, that, when we are concerned with a neighborhood, it is the fact of a function being a differential coefficient, and not its continuity, that we usually require. ”
Evolutionarily conserved autoregulation of alternative pre-mRNA splicing by ribosomal protein L10a

Alternative splicing of pre-mRNAs can regulate expression of protein-coding genes by generating unproductive mRNAs rapidly degraded by nonsense-mediated mRNA decay (NMD). Many of the genes directly regulated by alternative splicing coupled with NMD (AS-NMD) are related to RNA metabolism, but the repertoire of genes regulated by AS-NMD in vivo is to be determined. Here, we analyzed transcriptome data of wild-type and NMD-defective mutant strains of the nematode worm Caenorhabditis elegans and demonstrate that eight of the 82 cytoplasmic ribosomal protein (rp) genes generate unproductively spliced mRNAs. Knockdown of any of the eight rp genes exerted a dynamic and compensatory effect on alternative splicing of its own transcript and inverse effects on that of the other rp genes. A large subunit protein L10a, termed RPL-1 in nematodes, directly and specifically binds to an evolutionarily conserved 39-nt stretch termed L10ARE between the two alternative 5′ splice sites in its own pre-mRNA to switch the splice site choice. Furthermore, L10ARE-mediated splicing autoregulation of the L10a-coding gene is conserved in vertebrates. These results indicate that L10a is an evolutionarily conserved splicing regulator and that homeostasis of a subset of the rp genes are regulated at the level of pre-mRNA splicing in vivo.
An Abundance Analysis for Five Red Horizontal-Branch Stars in the Extremely Metal-rich Globular Cluster NGC 6553

We provide a high-dispersion line-by-line abundance analysis of five red horizontal-branch (HB) stars in the extremely metal-rich Galactic globular cluster NGC 6553. These red HB stars are significantly hotter than the very cool stars near the tip of the giant branch in such a metal-rich globular cluster, and hence their spectra are much more amenable to an abundance analysis than would be the case for red giants. We find that the mean [Fe/H] for NGC 6553 is -0.16 dex, comparable to the mean abundance in the Galactic bulge found by McWilliam & Rich and considerably higher than that obtained from an analysis of two red giants in this cluster by Barbuy and coworkers. The relative abundance for the best-determined α-process element (Ca) indicates an excess of α-process elements of about a factor of 2. The metallicity of NGC 6553 reaches the average of the Galactic bulge and of the solar neighborhood.
Empirical studies on the private value of Finnish patents

Tiivistelma 4 Acknowledgements 5 Introduction 9 Essay 1: The private value of patents by patent characteristics: evidence from Finland 43 Essay 2: Why does the private patent value differ by assignee? 61 Essay 3: Do the assignee's characteristics affect the private value of patents? 97 Essay 4: The optimal patent length is shorter than 18 years 131
EVALUATION OF FREQUENTLY USED AUDIO FEATURES FOR CLASSIFICATION OF MUSIC INTO PERCEPTUAL CATEGORIES

The ever-growing amount of available music induces an increasing demand for Music Information Retrieval (MIR) applications such as music recommendation applications or automatic classification algorithms. When audio-based, a crucial part of such systems are the audio feature extraction routines. In this paper, we evaluate how well a variety of combinations of feature extraction and machine learning algorithms are suited to classify music into perceptual categories. The examined categorizations are perceived tempo, mood (happy / neutral /sad), emotion (soft / neutral / aggressive), complexity, and vocal content. The aim is to contribute to the investigation which aspects of music are not captured by the common audio descriptors; from our experiments we can conclude that most of the examined categorizations are not captured well. This indicates that more research is needed on alternative (possibly extra-musical) sources of information for useful music classification.
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM

Bayesian models provide a framework for probabilistic modelling of complex datasets. However, many of such models are computationally demanding especially in the presence of large datasets. On the other hand, in sensor network applications, statistical (Bayesian) parameter estimation usually needs distributed algorithms, in which both data and computation are distributed across the nodes of the network. In this paper we propose a general framework for distributed Bayesian learning using Bregman Alternating Direction Method of Multipliers (B-ADMM). We demonstrate the utility of our framework, with Mean Field Variational Bayes (MFVB) as the primitive for distributed Matrix Factorization (MF) and distributed affine structure from motion (SfM).
Developing ICT-Enabled Information Processing Capabilities for Combatting E-Commerce Identity Fraud: A Case Study of Trustev's Social Fingerprinting Solution

Given the importance of information processing capabilities in improving business performance, organisations are seeking solutions for leveraging the use of big data and analytics. An emerging application is to inform organisations of potential fraudulent behaviour, which results in reducing online fraud and its associated costs. This paper introduces a case study in which social fingerprinting is used as a big data profile-based fraud detection technique for e-commerce transactions. Through an analysis of semi-structured interviews, this research in progress identifies three information processing capabilities based on social fingerprinting that a business must develop to eliminate fraud. Further interviews and analysis are proposed in order to have a better understanding of how social fingerprinting can be used in e-commerce. By uncovering interrelationships of social fingerprinting as online fraud detection solution, this study will provide significant contribution to information processing and analytic theory and practice.
Random Dynamical Systems in Economics

This paper surveys recent advances in the application of random dynamical systems theory in economics. It illustrates the usefulness of this framework for modeling and analysis of economic phenomena with stochastic components, mainly focusing on stochastic dynamic models in economic growth. The paper also highlights some directions for further applications and interdisciplinary research on random dynamical systems.