Miracle-dz/UniFAR-FTUs huggingface dataset:
Facilitating adaptive management in California's Sacramento-San Joaquin Delta

Author(s): Wiens, John A. ; Zedler, Joy B. ; Resh, Vincent H. ; Collier, Tracy K. ; Brandt, Stephen; Norgaard, Richard B. ; Lund, Jay R. ; Atwater, Brian; Canuel, Elizabeth; Fernando, Harindra J. | Abstract: Uncertainties in understanding ecosystems increase the risk that management will fail to achieve desired results. Adaptive management is a structured, iterative application of science-based knowledge to reduce uncertainties and build flexibility into decision-making. However, adaptive management is more easily planned than implemented, and it is only beginning to be applied in the California’s Sacramento–San Joaquin Delta. We draw from two assessments of adaptive management in the Delta and examples of its use elsewhere to suggest how the process can be facilitated. Although a highly structured adaptive-management process may not always be needed, several elements are essential. Adaptive management should begin by clearly identifying the problem, goals, and objectives; recognizing uncertainties; identifying decision points and alternative approaches; recognizing when adjustments are needed and having the flexibility to make them; and considering societal and political constraints. Model complexity should be matched to that of the system and management needs; experiments can help unravel causal relationships. Monitoring, analyses, and syntheses require comprehensive data-management systems. More frequent and organized communications among scientists, managers, stakeholders, and decision-makers are necessary. We propose the establishment of an “Adaptive Management Team” to coordinate efforts across the management spectrum of the Delta and to provide guidance and link individual projects to shared approaches and experiences. Reliable long-term support will be needed to assess results of management actions, adjust approaches where improvement is likely, and strive toward the legislated goals of enhancing the Delta ecosystem while also providing reliable water supplies to much of California, and doing both these things in a manner that protects values of the Delta as a place where people live and work.
The relationships between performance traits and the bGH/Alu I and Pit-1/Hinf I polymorphisms in Holstein cows

Progress in genetic selection in livestock can be increased by marker asisted selection. The identification of favorable genetic markers is one of the most important stages in marker-asisted selection. In this study, it was aimed to determine the effects of the bGH/AluI and Pit-1/HinfI polymorphisms on the production traits of organic reared cows. Genotyping was performed on total 245 Holstein cows, n=181 for Pit-1 gene and n=186 for bGH gene. Milk yields and some reproduction traits analyzed by analysis of variance using the general linear model procedure, and 703 production records from cows were used to. The results showed that neither the Pit-1/Hinf I nor bGH/Alu I polymorphisms affect the tested milk traits (p>0.05).
Impact of Diversification on the Firm’s Performance: An Evidence from Pakistan

This study analyzes the relation of diversification and the performance of Pakistani firms in a sample of 8 diversified and 8 undiversified listed firms of KSE-100 index from year 2004 to 2009. Firm Performance is measured by the Paneling data analysis. The results of the diversified and undiversified firm in regression analysis showed that there is no multi colinarity between the variables. Diversified firm are more risky than the undiversified firms, however, the diversified firms have higher leverage than undiversified strategic firms. So the undiversified firms have the greater returns due to the less proportion of the risk. Keywords: diversification, performance, firm, risk, leverage, return on asset
Analysis of thrombolytic treatment for acute ischemic stroke based on own experiences

__________________________________________________________________________ Background. Intravenous recombinant tissue plasminogen activator (rt-PA) therapy is an effective treatment for acute ischemic stroke. However, the widespread use of rt-PA in clinical practice is limited by 3-hours treatment window and the risk of hemorrhage complication. The purpose of our study was assessment the safety and efficacy rt-PA treatment at 3 neurological departments in Wroclaw. Material and methods. The study were included 20 patients with acute ischemic stroke treated with rt-PA at 3 neurological departments in Wroclaw between 2004 and 2007. Thrombolytic therapy used according the POLKARD protocol. We assessed the rate of rt-PA treatment for ischemic stroke, time from stroke onset to treatment, severity of neurological deficit during the first 24 hours and rt-PA treatment complication. Results. 1.4% of all patients with acute ischemic stroke were treated with rt-PA. The mean time from stroke onset to treatment was 2 hours and 28 minutes. Parenchimal hemorrhage occurred in 5% of patients. 4 patients (20%) experienced an early clinical deterioration following an initial improvement. Assessment after 1 month revealed that 15% of patient died and 65% of patients had good or moderate outcome (0–3 score in modified Rankin Scale). Conclusions. Thrombolytic therapy outcomes and rate of hemorrhagic complications in our study were similar to randomised trials and another retrospective studies. The present study demonstrate a small number of patients that receive rt-PA, a low risk of hemorrhage complication and high rate an early clinical deterioration following an initial improvement probably associated with early arterial reocclusion.
A Model of Value Chain Management Based on Customer Relationship Management

Many companies pay much attention to the Value Chain Management (VCM) nowadays. The VCM can give the strategic direction of enterprise development, which can create the value gained by the customer. The Customer Relationship Management (CRM) can build the communication channel of value delivery between the enterprise and customer. Through analyzing the secondary data of the related literatures, the article builds a model of Value Chain Management based on the Customer Relationship Management.
The Sectoral Effects of Monetary Policy in Hungary: A Structural Factor Analysis

This paper uses a structural factor model to analyze sectoral heterogeneity in the impact of monetary policy in Hungary. Monetary shocks are identified with sign restrictions. The impulse responses of aggregate variables are similar to the findings of previous VAR based studies. The sectoral responses reveal considerable heterogeneity. In particular, sectors more reliant on external finance show larger output responses, while healthier corporate balance sheets imply weaker price responses. These results suggest that the credit channel of monetary transmission is operating in Hungary as well. In addition, there appears some role for the interest sensitivity of demand and price rigidities in explaining the heterogeneity of sectoral responses.
Examination Expertise Sharing in Academic Social Networks Using Graphs: The Case of ResearchGate

ResearchGate (RG) has emerged as one of the first private social networks for researchers and developers. It adds many new features and activities to the normal Online Social Networks (OSNs). One of these services is the question/answer environment where users can share their queries and obtain answers. This service is considered very important for expertise sharing in RG. In this work, the question/answer platform of RG is studied. A web-crawler has been implemented in order to harvest the questions, authors' information and answers from RG. In this paper, the collected data has been utilized to generate a directed graph that connects users according to their questions and answers. The constructed graph is employed to extract some graph metrics, such as, node degree, centrality and connectivity. The results analysis shows that, users in RG do not care about sharing their expertise. In addition, it is observed that most of the nodes in the graph are disconnected, which means that, most of the questions have no answers. It is also observed that the number of triangles in the network graph is small which means that the network is not highly connected. Paper must have abstract.
Strong Laws for Urn Models with Balanced Replacement Matrices

We consider an urn model, whose replacement matrix has all entries nonnegative and is balanced, that is, has constant row sums. We obtain the rates of the counts of balls corresponding to each color for the strong laws to hold. The analysis requires a rearrangement of the colors in two steps. We first reduce the replacement matrix to a block upper triangular one, where the diagonal blocks are either irreducible or the scalar zero. The scalings for the color counts are then given inductively depending on the Perron-Frobenius eigenvalues of the irreducible diagonal blocks. In the second step of the rearrangement, the colors are further rearranged to reduce the block upper triangular replacement matrix to a canonical form. Under a further mild technical condition, we obtain the scalings and also identify the limits. We show that the limiting random variables corresponding to the counts of colors within a block are constant multiples of each other. We provide an easy-to-understand explicit formula for them as well. The model considered here contains the urn models with irreducible replacement matrix, as well as, the upper triangular one and several specific block upper triangular ones considered earlier in the literature and gives an exhaustive picture of the color counts in the general case with only possible restrictions that the replacement matrix is balanced and has nonnegative entries.
RELATIONSHIP BETWEEN BLOOD LACTATE AND ELECTROMYOGRAPHY DURING AEROBIC EXERCISE by RONALD LEE SNARR JR. PHILLIP BISHOP, COMMITTEE CHAIR

The purpose of this investigation was to determine if wearable surface electromyographic (EMG) technology, acquired from compression shorts, can validly estimate the lactate threshold work rate during incremental cycling. Thirteen adult men (n = 8) and women (n = 5) volunteered to participate in this study. Participants completed an incremental, maximal test on a cycle ergometer. Blood lactate was measured every minute, while EMG was recorded throughout the test at the vastus lateralis. Results demonstrated no significant differences (p = 0.08) between lactate and electromyographical thresholds. Additionally, no differences existed between EMG and lactate thresholds for maximal heart rate (p = 0.13, Cohen’s d = 0.43) and percent peak oxygen consumption (p = 0.64, Cohen’s d = 0.09). Consistent with previous results, EMG provided a moderate correlation with the prediction of work rates associated with LT (r = 0.68, p = 0.01). The exponential rise in blood lactate concentration and EMG may be attributed to the increase in Type II muscle fiber recruitment. Thus, wearable EMG compression gear may provide a viable field tool for monitoring training intensity and predicting LT work rates.
Firm Entry and Exit, Labor Demand, and Trade Reform: Evidence from Chile and Colombia

There are increasing fears that trade reform - and globalization generally - will increase the uncertainty the average (especially less skilled) worker faces. If product markets become more competitive and the access to foreign inputs is increased, will demand for workers among existing firms become more elastic? Will labor markets become more volatile because bad shocks to output will translate into greater impacts on wages and employment? So far the literature on this question has focused almost entirely on labor demand within continuing firms. But much of the movement in the job market arises from the entry and exit of firms. The authors show that firms entering and exiting a market contribute almost as much to employment changes as firms continuing in a market. In several samples, firms entering and exiting affected the net change in-positions more than the expansion of continuing plants did, although contributions varied greatly across the business cycle and period of adjustment. Estimates of labor demand elasticities of entering and exiting firms were surprisingly similar in Chile and Colombia and somewhat higher than elasticities for firms that survived. Estimates of the effect of trade liberalization offer only ambiguous lessons on trade reform's probable impact on these elasticities. The data suggest that in Chile greater exchange rate protection does reduce the wage-employment elasticity of entering and exiting plants, but the results are reversed in Colombia's case. Moreover, in Colombia higher import penetration lowers the elasticity of labor demand and in Chile higher tariffs increase it. These findings, combined with very ambiguous results from probit regressions on the determinants of plant exit, suggest that circumspection is warranted in asserting that trade liberalization will increase the wage elasticity of labor demand.
The effects of dietary antibiotic and anise oil supplementation on body weight, carcass characteristics and organoleptic analysis of meat in broilers

L'objectif de cette etude etait d'etudier les effets de la supplementation en antibiotiques (Avilamisin) et en huile d'anis sur le poids vif, les caracteristiques de carcasse, et les proprietes organoleptiques de la viande de poulet. Deux cents poulets âges de 5 jours (Ross-308) ont ete divises en 5 groupes de 40 animaux : le groupe control, le groupe A100 (supplementation en huile d'anis de 100 ppm), le groupe A200 (supplementation en huile d'anis de 200 ppm), le groupe A400 (supplementation en huile d'anis de 400 ppm) et le groupe antibiotique (supplementation en avamycine a 0.1%). A la fin de l'etude (40 jours), le poids vif moyen du groupe A400 etait plus eleve (2572.25 g) que celui du groupe antibiotique (2414.40 g) (p<0.05). En outre le poids vif moyen du groupe antibiotique etait different de celui des groupes A100 (2299.95 g), A200 (2296.4 g) et control (2255.50 g) (p<0.05). Les caracteristiques de carcasse etaient differentes en fonction du groupe au niveau du gesier (p<0.04), du foie, des ailes, de la carcasse chaude et de la carcasse froide (p<0.05). Les proprietes organoleptiques de la viande etaient meilleures dans le groupe A400 (p<0.05). En conclusion, les resultats de cette etude ont montre que l'huile d'anis a 400 ppm peut etre utilisee comme alternative aux antibiotiques pour ameliorer la croissance des poulets de chair.
An embedded approach for motor control boards design in mobile robotics applications

In this paper the conception, the project, the realization and the test of a multi purpose board for motor control in robotics applications are presented. The main features of such a board are: the possibility of controlling CC motors as well as servomotors, using measures both from continuous (like potentiometers) and from digital (like encoders) sensors; the possibility of changing the control law, being contained in a microcontroller, by simply changing the C code of the programming; the possibility of serial communication, also via radio link, for control parameters changes and for data exchange with other boards or with a central unit.
Diffusion-based recommendation with trust relations on tripartite graphs

The diffusion-based recommendation approach is a vital branch in recommender systems, which successfully applies physical dynamics to make recommendations for users on bipartite or tripartite graphs. Trust links indicate users’ social relations and can provide the benefit of reducing data sparsity. However, traditional diffusion-based algorithms only consider rating links when making recommendations. In this paper, the complementarity of users’ implicit and explicit trust is exploited, and a novel resource-allocation strategy is proposed, which integrates these two kinds of trust relations on tripartite graphs. Through empirical studies on three benchmark datasets, our proposed method obtains better performance than most of the benchmark algorithms in terms of accuracy, diversity and novelty. According to the experimental results, our method is an effective and reasonable way to integrate additional features into the diffusion-based recommendation approach.
Production and Optimization of α-Amylase from Bacillus circulans ATCC 4516 with Solid State Fermentation

Bu çalışmanın amacı Bacillus circulans ATCC 4516 tarafından üretilen α-amilazın belirli üretim parametrelerini incelemektir. α-Amilazın optimizasyon parametreleri katı faz fermantasyonu ile gerçekleştirilmiştir. Katı atık besin kaynağı olarak pirinç kepeği kullanılmıştır. Karbon ve metal tuz kaynakları eklenmesi ile enzim üretimi azalmıştır. İnkübasyon zamanı, inkübasyon sıcaklığı, inokülüm düzeyi, başlangıç pH ve ekstraksiyon ortamı gibi belirli fermantasyon parametreleri ayrı ayrı incelenmiştir. Maksimum α-amilaz üretim miktarı (2716.9 ± 35.9 U/mg) amonyum klorür eklenmesi ile 48. saatte 37oC’de inokülüm düzeyi %25, başlangıç pH’ı 7.5 olarak elde edilmiştir.
Predicting cyanobacteria dominance in lakes

A controversial precept of aquatic ecology asserts that low ratios of nitrogen to phosphorus (N:P) lead to noxious and sometimes toxic blooms of Cyanobacteria. Cyanobacteria dominance is a major risk to human and ecosystem health. The stoichiometric control of Cyanobacteria therefore has become central to freshwater resource management. This controversial concept is based on observed Cyanobacteria dominance in lakes with low N:P and the results of lab and field experiments. Here we analyze data from 99 of the temperate zone's most studied lakes and show that this model is flawed. We show that the risk of water quality degradation by Cyanobacteria blooms is more strongly correlated with variation in total P, total N, or standing algae biomass than the ratio of N:P. Risks associated with Cyanobacteria are therefore less associated with N:P ratios than a simple increase in nutrient concentrations and algal biomass.
Harmonic Analysis on Torque Ripple of Brushless DC Motor Based on Advanced Commutation Control

This paper investigates the relationship between current, back electromotive force (back-EMF), and torque for permanent-magnet brushless DC (PM BLDC) motors under advanced commutation control from the perspective of harmonics. Considering that the phase current is the influencing factor of both torque and torque ripple, this paper firstly analyzes the effects of advanced commutation on phase current and current harmonics. And then, based on the harmonics of the phase current and back-EMF, the torque harmonic expressions are deduced. The expressions reveal the relationship of harmonic order between the torque, phase current, and back-EMF and highlight the different contribution of individual torque harmonic to the total torque ripple. Finally, the proposed harmonic analysis method is verified by the experiments with different speed and load conditions.
Hybrid Sentiment Classification of Reviews Using SynonymLexicon and Word embedding

Sentiment analysis is used in extract some useful information from the given set of documents by using Natural Language Processing (NLP) techniques. These techniques have wide scope in various fields which are dealing with huge amount of data link e-commerce, business and market analysis, social media and review impact of products and movies. Sentiment analysis can be applied over these data for finding the polarity of the data like positive, neutral or negative automatically or many complex sentiments like happiness, sad, anger, joy, etc. for a particular product and services based on user reviews. Sentiment analysis not only able to find the polarity of the reviews. Sentiment analysis utilizes machine learning algorithms with vectorization techniques based on textual documents to train the classifier models. These models are later used to perform sentiment analysis on the given dataset of particular domain on which the classifier model is trained. Vectorization is done for text document by using word embedding based and hybrid vectorization. The proposed methodology focus on fast and accurate sentiment prediction with higher confidence value over the dataset in both Tamil and English.
Gaining competitive advantage through intellectual capital and knowledge management: an exploration of inhibitors and enablers in Jordanian Universities

This small-scale study aimed to explore the different factors that help or hinder the achievement of competitive advantage through the possession and development of intellectual capital and the delivery of effective knowledge management in a sample of Jordanian universities. Using a quantitative methodology, underpinned by a pragmatist theoretical approach, an electronic survey was conducted with staff working within three established universities based in Jordan. The concepts of intellectual capital, knowledge management and competitive advantage within an academic setting are first explored before focusing more specifically on investigating how different factors influence these and impact on competitive advantage. Overall, the study identified a range of inhibitors and enablers relating to intellectual capital and knowledge management and identified areas where universities need to develop in order to increase future competitive advantage. The study therefore makes a valuable contribution in adding to the body of evidence within this field.
R&D Intensive Goods Trade and Competitiveness of Turkey in the European Union Market

This paper aims to measure trade competitiveness of Research and Development (R&D) intensive goods of Turkey in the European Union (EU) market, using different trade indices. Concentration Ratio (Michaely, 1958), Export-Import Commodity Composition Index (Muscatelli, 1991), Intra-Industry Trade Index (Grubel, Lloyd, 1971) and Sectoral-Bilateral Trade Intensity Ratios (Seymen, 2009) are calculated to analyze the technology composition of manufacturing goods trade between Turkey and the EU27. Revealed Comparative Advantage Index (Balassa, 1965), Marginal Intra-Industry Trade Index (Brulhart, 1994), and Sectoral-Bilateral Competitiveness Index (Seymen, 2009) are employed to gain insight about the bilateral competition between two parties. Thus, once the general situation related to the R&D intensive goods trade between Turkey and the EU is detected, it will be possible to draw some policy implications through a future study in the following phase, by identifying the value added structures, exterior input dependence and vertical-horizontal specialization levels of the goods revealed to have competitive advantage in this study.