Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of feeding levels on growth performance, feed utilization, body composition, energy and protein maintenance requirement of fingerling, rainbow trout, Oncorhynchus mykiss (Walbaum 1792)

A 10-week feeding experiment was conducted to evaluate the effects of feeding level, energy and protein maintenance requirement of rainbow trout, Oncorhynchus mykiss, fingerling (5.650.45cm; 1.420.25g) by feeding casein-gelatin based purified diet (45% CP; 3.67 kcal g -1 GE) at six feeding levels from 2 to 7% of BW/day in two equal meals, at 0800 and 1700 h, in triplicate, with 20 fish per trough equipped with continuous water flow-through system water (60L volume). Maximum live weight gain, best feed conversion ratio (FCR), best specific growth rate (SGR) and highest protein efficiency ratio (PER) were reported in fish fed 4-5% BW day -1 . However, quadratic regression analysis for weight gain, FCR, PER, protein retention efficiency and energy retention efficiency data indicated the break-points occurred at 5.33, 4.50, 4.48, 4.63 and 4.74% BW day -1 , respectively. Body composition also produced significant (p<0.05) differences with respect to each feeding level, maximum protein, lowest moisture and intermediate fat contents were reported at 4-5% feeding levels. Protein and energy retention values also produced significant (p<0.05) differences among each feeding level with maximum values were reported at 5% feeding level. Based on the results, it is recommended that feeding in the range of 4.6 to 5.3% BW day -1 , corresponding to 2.07-2.39g protein and 16.88-19.45 kcal energy g100g -1 of the diet day -1 is optimum for the growth and efficient feed utilization of rainbow trout, while 2-3% feeding levels (0.90-1.35g protein and 7.34-11.01 kcal energy) suggests that these amounts approximate the maintenance requirement of fish.
Annual net community production and the biological carbon flux in the ocean

The flux of biologically produced organic matter from the surface ocean (the biological pump), over an annual cycle, is equal to the annual net community production (ANCP). Experimental determinations of ANCP at ocean time series sites using a variety of different metabolite mass balances have made it possible to evaluate the accuracy of sediment trap fluxes and satellite‐determined ocean carbon export. ANCP values at the Hawaii Ocean Time‐series (HOT), the Bermuda Atlantic Time‐series Study (BATS), Ocean Station Papa (OSP) are 3 ± 1 mol C m−2 yr−1—much less variable than presently suggested by satellite remote sensing measurements and global circulation models. ANCP determined from mass balances at these locations are 3–4 times particulate organic carbon fluxes measured in sediment traps. When the roles of dissolved organic carbon (DOC) flux, zooplankton migration, and depth‐dependent respiration are considered these differences are reconciled at HOT and OSP but not at BATS, where measured particulate fluxes are about 3 times lower than expected. Even in the cases where sediment trap fluxes are accurate, it is not possible to “scale up” these measurements to determine ANCP without independent determinations of geographically variable DOC flux and zooplankton migration. Estimates of ANCP from satellite remote sensing using net primary production determined by the carbon‐based productivity model suggests less geographic variability than its predecessor (the vertically generalized productivity model) and brings predictions at HOT and OSP closer to measurements; however, satellite‐predicted ANCP at BATS is still 3 times too low.
In silico Characterization and Docking of α-Conotoxin Mr1.7a from Conus marmoreus Targeting Neuronal nAChR α3β2

Conotoxins are a group of cysteine-rich peptide-based toxins in the venom of cone snails. The small peptides of α-Conotoxin Mr1.7a from Conus marmoreus behave pharmacologically as competitive antagonists of the nicotinic acetylcholine receptor nAChR α3β2. Neuronal nicotinic acetylcholine receptors (nAChRs) are ligand-gated ion channels, widely spread in the central and peripheral system. nAChRs modulate the release of neurotransmitters, such as dopamine, norepinephrine, acetylcholine and γ-amino butyric acid, and they are involved in a variety of pathophysiologies, including chronic pain syndromes, epilepsy, Parkinson’s and Alzheimer’s. The physicochemical properties of the α-Conotoxin Mr1.7a were analyzed by using ExPASy ProtParam tool. The secondary structure prediction was done by SOPMA which showed that alpha helix dominated all the other conformations. 3D structure was predicted using modeller and validated using PROCHECK with 83.9 % found in most favoured regions [A, B, L]. VaxiJen 2.0 server predicted αConotoxin Mr1.7a as a non-antigenic. Binding sites were predicted using DoGSiteScorer. Docking of α-Conotoxin Mr1.7a was performed against target neuronal nAChR α3β2 using Hex 6.3 tool. The docking result with Etotal of -598.19 was provided a reasonable structural basis that can be used for future investigations on nAChR-ligand complex and α-Conotoxins serve as a best therapeutic agent.
Success Factors of Adapting Agile Methods in Global and Local Software Development: A Systematic Literature Review Protocol with Preliminary Results

Agile methodologies are used for developing software both in local software development (LSD) and global software development (GSD) companies because it provides extensive benefits like proper communication, customer satisfaction, close collaboration, and frequent delivery of working software etc. to these developments [1]. In this paper, Systematic Literature Review (SLR) protocol is constructed to know about the success factors of implementing agile methodologies in LSD as well as in GSD. The result of this SLR protocol is a group of success factors which are very helpful for local and global software companies to know about importance of agile methodologies. The result of SLR protocol is also presented in this paper
NONLINEAR GRAVITY AND CAPILLARY-GRAVITY WAVES

This review deals primarily with the bifurcation, stability, and evolution of gravity and capillary-gravity waves. Recent results on the bifurcation of various types of capillary-gravity waves, including two-dimensional solitary waves at the minimum of the dispersion curve, are reviewed. A survey of various mechanisms (including the most recent ones) to explain the frequency downshift phenomenon is provided. Recent significant results are given on “horseshoe” patterns, which are three-dimensional structures observable on the sea surface under the action of wind or in wave tank experiments. The so-called short-crested waves are then discussed. Finally, the importance of surface tension effects on steep waves is studied.
Cutting Your Teeth : Building on the Micro-Foundations for Dynamic Capabilities

Theorizing on the sources of dynamic capabilities has been rare, particularly on the micro-level determinants of capabilities. We look at evidence for a model where cross-functional experience (in this case, founding a firm) results in a more accurate cognitive map of the industry. This paper investigates whether cross-functional experience improves entrepreneurial firm performance via more accurate mental models of the industry landscape. We use detailed data from the MIT Founder’s Survey to test our theory. In addition, we show that a major industry disruption (in the form of the dotcom boom) resulted in the loss of benefit from cognitive maps developed in the prior environment. The results provide evidence consistent with our model of cognitive maps as a source of capability and counter to several alternative accounts.
COUNTING WITH THE FINGERS

It has been written that across the world there are 27 types of counting method using the fingers. For example, there are various methods for starting to count 'one' using either the index finger, thumb or little finger. In ancient Rome, people counted 'one' by bending their left little finger. Counting using the fingers differs according to region, ethnicity, and historical period. This chapter also discusses the 'evolutionary theory' of counting methods.
Growth and population assessment of the queen conch Strombus gigas (Mesogastropoda: Strombidae) by capture mark-recapture sampling in a natural protected area of the Mexican Caribbean

The Inlet of Xel-Ha is used as a park for ecotourism, representing a sanctuary for the conservation of Pink Queen Conch. Increasing fishing pressure has led to the inclusion of the species in CITES. Most knowledge about the growth of the queen conch was generated through aquaculture, ocean enclosures or obtained using estimates derived from population dynamics. In this study we estimated the growth rate of juvenile S. gigas in a natural protected area by direct methods, during the period of April 2009 to January 2011. Data was obtained by capture-mark-recapture sampling. 1418 individuals were tagged and growth of 714 conchs was analyzed. Population size and density was estimated using Schnabel's method. The average density was estimated at 0.1694 ± 0.0996ind. m-2, while the highest density was estimated for September 2010 (0.3074ind. m-2). The highest growth rate (0.27 ± 0.10mm day-1) was detected in juveniles with an initial size between 100-149mm, followed by conch 200mm (0.08 ± 0.07mm day-1). Variability in growth rate was high in conch 100-149mm and showed seasonal differences, with the highest growth rate in May 2010. Recruitment of juveniles was highest in October 2009 and February 2010. The population of Xel-Ha has grown in size and more large and juvenile conch could be found than in previous studies, indicating that Xel-ha park is working as a sanctuary for the conservation of the queen conch in Mexico's Riviera Maya. The growth rate of juvenile conch in Xel-Ha is high and exhibits large variations in individuals, reflecting the natural conditions of foraging and aggregation. Seasonal differences in growth rate may be associ- ated with water quality and availability of nutrients for primary production. We conclude that the direct method is useful for the assessment of growth in juvenile S. gigas and that growth in natural conditions may be higher than in aquaculture systems. This information may be applied to fishery management as well as rehabilitation programs and aquaculture. Rev. Biol. Trop. 60 (Suppl. 1): 127-137. Epub 2012 March 01.
Long Text Summarization using Neural Networks and Rule-Based Approach

Automatic text summarization is the task for computers to produce a concise and fluent summary conveying the key information in the input. There are generally two types of automatic texts summarization: extraction and abstraction. Many papers has been published on extraction summarization, however, it cannot provide summary close to human language. This project will focus on using neural networks techniques and statistical language models for abstractive summarization on long texts. Results have shown that picking shortest-clause from most important sentence choosen by LexRank Algorhtm appears to have the best performance.
Evaluation of a FTIR Emission Measurement System for Legislated Emissions Using a SI Car

A series of chassis dynamometer test trials were conducted to assess the performance of a Fourier Transform Infra Red (FTIR) system developed for on-road vehicle exhaust emissions measurements. Trials used a EURO 1 emission compliant SI passenger car which, alongside the FTIR, was instrumented to allow the routine logging of engine speed, road speed, throttle position, air-fuel ratio, air flow and fuel flow in addition to engine, exhaust and catalyst temperatures. The chassis dynamometer facility incorporated an ‘industry standard’ measurement system comprising MEXA7400 gas analyzer and CVS bag sampling which was the ‘benchmark’ for the evaluation of FTIR legislated gas-phase emissions (CO, NOx, THC and CO2) measurements. Initial steady state measurements demonstrated strong correlations for CO, NOx and THC (R2 of 0.99, 0.97 0.99, respectively) and a good correlation for CO2 (R2 = 0.92). Subsequent transient and total mass emissions measurements from replicate samplings of four different driving cycles (two standard cycles, FTP75 and NEDC, and two novel cycles based on real-world data collected in Leeds) also show good response of FTIR and satisfied agreement between the FTIR and CVS bag sampling measurements. In general, the trial results demonstrate that the on-board FTIR emission measurement system provides reliable in-journey emissions data.
Force constants for substitutional alloys

Recently, the importance of the vibrational aspects of alloy phase stability has attracted much interest. There is much controversy over the extent to which the vibrational free energy affects order-disorder temperatures and other phase equilibria. Here, we examine the feasibility of defining transferable force constants for an alloy in much the same spirit as tight-binding Slater-Koster parameters can be defined for substitutional alloys. In particular, the predictive ability of such alloy specific, but configuration independent, force constants for the elastic, relaxation, and vibrational properties is examined.
Advanced Fabrication and Properties of Aligned Carbon Nanotube Composites: Experiments and Modeling

Aligned carbon nanotube (CNT) composites have attracted a lot of interest due to their superb mechanical and physical properties. This article presents a brief overview of the synthesis approaches of aligned CNT composites. The three major methods for fabricating aligned CNT fibers are first reviewed, including wet-spinning, dry-spinning and floating catalysts. The obtained CNT fibers, however, have limited mechanical and physical properties due to their porous structure and poor CNT alignment within the fibers. Appropriate treatments are required to densify the fibers to enhance their properties. The main approaches for the densification of CNT fibers are then discussed. To further enhance load transfer within CNT fibers, polymer infiltration is always used. Typical studies on polymer infiltration of CNT fibers are reviewed, and the properties of the obtained composites indicate the superiority of this composite fabrication method over the conventional dispersion method. Since aligned CNT composites are usually obtained in structures of long fiber or thin film, it is difficult to measure the thermal conductivity of these composites. An off-lattice Monte Carlo model is developed to accurately predict the thermal conductivity of aligned CNT composites.
Numerical optimisation of blowing glass parison shapes

Industrial glass blowing is an essential stage of manufacturing glass containers, i.e. bottles or jars. An initial glass preform is brought into a mould and subsequently blown into the mould shape. Over the last few decades, a wide range of numerical models for forward glass blow process simulation have been developed. A considerable challenge is the inverse problem: to determine an optimal preform from the desired container shape. A simulation model for blowing glass containers based on finite element methods has previously been developed [1, 2]. This model uses level set methods to track the glass-air interfaces. In previous work of the authors [3] a numerical method was introduced for optimising the shape of the preform. The optimisation method aims at minimising the error in the level set representing the inner container surface. The objective of this paper is to analyse the inverse problem by means of an analytical approximation of the flow problem and to improve the performance of the optimisation method previously introduced. In particular an initial guess of the preform for the iterative optimisation algorithm is constructed from the approximate solution of the inverse problem. The main goals of this work are the analysis of the inverse problem and the development of the optimisation method in consideration of the application to containers of industrial relevance.Copyright © 2009 by ASME
Research, part of a Special Feature on A Systems Approach for Sustainable Development in Coastal Zones Modeling Soft Institutional Change and the Improvement of Freshwater Governance in the Coastal Zone

The contribution of soft institutional change to improve freshwater governance in the coastal zone will be examined. Freshwater management seeks to reduce losses due to overexploitation of the common-pool resources provided by river catchments and their associated ecosystems. Due to the complexity of the governance system, improving the performance of one coastal social-ecological system means searching for the appropriate "soft" institutional change. In the Pertuis Charentais region, increasing scarcity of freshwater in summer threatens the health of the coastal ecosystem and the sustainability of human activities, which depend on the use of natural resources. The allocation of freshwater among competing uses or concerns is a core issue for integrated coastal zone management. To address this issue, we have constructed an analytical framework that combines the ecosystem services approach with the institutional analysis of common-pool resources, and have developed an integrated simulation tool based on the system dynamic modeling approach. Freshwater scarcity generates three kinds of user conflict: (1) conflict between two extractive uses of freshwater (irrigation and drinking water), (2) conflicts between extractive uses (provisioning services) and other services (support, regulatory, and cultural) provided by freshwater, and (3) competition within a given activity sector (agriculture or shellfish farming). Participation by local managers led to the identification of realistic soft institutional changes that might mitigate conflicts and improve the governance system. These possible institutional changes were then integrated as fixed exogenous parameters in the simulation model. The simulated scenarios suggest that innovative collective arrangements involving farmers could be an alternative to other more restrictive top-down measures. This participatory experiment also illustrates the potential of social-ecological modeling for exploring acceptable new institutional arrangements.
A Multi-Agent Improved Semantic Similarity Matching Algorithm Based on Ontology Tree

Semantic-based information retrieval techniques understand the meanings of the concepts that users specify in their queries, but the traditional semantic matching methods based on the ontology tree have three weaknesses which may lead to many false matches, causing the falling precision. In order to improve the matching precision and the recall of the information retrieval, this paper proposes a multi-agent improved semantic similarity matching algorithm based on the ontology tree, which can avoid the considerable computation redundancies and mismatching during the entire matching process. The results of the experiments performed on our algorithm show improvements in precision and recall compared with the information retrieval techniques based on the traditional semantic similarity matching methods.
Editor's Introduction – Autonomy of Inquiry: Shaping the Future of Emerging Scientific Communities

Over two decades, research in Chinese management has exploited existing questions, theories, constructs, and methods developed in the Western context. Lagging are exploratory studies to address questions relevant to Chinese firms and to develop theories that offer meaningful explanations of Chinese phenomena. Framed as a debate between pursuing a theory of Chinese management versus a Chinese theory of management, this forum, through the voices of thirteen scholars, provides an analysis of the reasons for the current status of Chinese management research and offers alternatives to shape the future of Chinese management studies. Based on the principle of autonomy of inquiry and heeding the warning of the constraint of normal science, the Chinese management research community can shape its own future by engaging in research that may contribute to global management knowledge and address meaningful local management problems.
Completing State Representations using Spectral Learning

A central problem in dynamical system modeling is state discovery—that is, finding a compact summary of the past that captures the information needed to predict the future. Predictive State Representations (PSRs) enable clever spectral methods for state discovery; however, while consistent in the limit of infinite data, these methods often suffer from poor performance in the low data regime. In this paper we develop a novel algorithm for incorporating domain knowledge, in the form of an imperfect state representation, as side information to speed spectral learning for PSRs. We prove theoretical results characterizing the relevance of a user-provided state representation, and design spectral algorithms that can take advantage of a relevant representation. Our algorithm utilizes principal angles to extract the relevant components of the representation, and is robust to misspecification. Empirical evaluation on synthetic HMMs, an aircraft identification domain, and a gene splice dataset shows that, even with weak domain knowledge, the algorithm can significantly outperform standard PSR learning.
Hayat Bilgisi Dersinde Ailelerin Çoklu Zekâ Kuramı Hakkında Bilgilendirilme Biçimlerinin Öğrencilerin Proje Başarıları ve Tutumlarına Etkisi

Bu calismanin amaci; ilkogretim 3. sinif hayat bilgisi dersinde ogrencilerin ailelerinin Coklu Zekâ Kurami [CZK] hakkinda bilgilendirilme bicimlerinin, ogrencilerin proje basarilari ve hayat bilgisi dersine yonelik tutumlarina etkisini ortaya koymaktir. Arastirmaya 2006? 2007 egitim-ogretim yilinin ikinci yariyilinda, Ankara Ili, Kizilcahamam Ilcesi, Orhangazi Ilkogretim Okulu'nun 3/A ve 3/B siniflarinda okuyan toplam 24 ogrenci katilmistir. Bu ogrencilerden 12'sinin ailesi CZK hakkinda basili materyalle, diger 12'sinin ailesi ise sozel yolla bilgilendirilmistir. Ogrenciler, alti hafta boyunca arastirmaci rehberliginde proje calismalarini surdurmuslerdir. Arastirma sonunda, aile bilgilendirme bicimi ile ilgili olarak aileleri sozel yolla CZK hakkinda bilgilendirilen ogrencilerin proje basarilari, aileleri basili materyalle CZK hakkinda bilgilendirilen ogrencilerin proje basarilarindan istatistiksel olarak anlamli derecede yuksek oldugu bulunmustur. Ayrica ogrencilerin ailelerinin CZK hakkinda bilgilendirilme bicimlerine gore hayat bilgisi dersine yonelik on tutumlari ve on tutumlarina gore duzeltilmis son tutumlari arasinda p
Depth distribution of a new invasive coral (Gulf of Mexico) -Tubastraea micranthus, comparisons with T. coccinea, and implications for control

The Indo-Pacific coral Tubastraea micranthus recently invaded a region near the Mississippi River mouth, Gulf of Mexico, and its populations have been expanding. Its congener, Tubastraea coccinea, invaded during the 1940s and is now common in the western Atlantic. Accessibility is important in determining whether an invasive species can be controlled/eradicated. In the marine environment, depth limits accessibility. We assessed the depth distribution of T. micranthus and T. coccinea on 15 oil/gas platforms using remotely operated vehicles (ROVs). Pooled data indicated that T. micranthus extends to 138 m and probably deeper, while T. coccinea is generally limited to 138 m. Tubastraea coccinea were limited to shallow waters on all platforms. Detailed depth distribution patterns varied significantly between analyses using density and percent-cover data, with density probably indicating colonization rates, and percent-cover colony growth. Depth limitation by T. coccinea may be associated with food availability rather than light since it is azooxanthellate. The occurrence of T. micranthus in deep water will most likely make any control or eradication efforts difficult, due to cost and a rapid rate of population expansion.