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Age : 8-9 years old Reading Level : 3rd GradeDiscover Lola and Woofy's wonderful adventures!Lola and Woofy are the best friends in the whole world. It is Sunday today and Lola, Woofy and Titou go fishing with Lola's dad.Short stories for beginning readers.EXCERPT It was a fine Sunday afternoon. Lola's dad thought the weather was perfect to go fishing in the river. He asked Lola if she wanted to come along, and of course, Lola said yes. She loved to spend Sunday afternoons with her dad.ABOUT THE SERIES14 cute and short stories to which every kid can relate. Each adventure puts Lola, an ordinary little girl, and her pet dog in a realistic everyday situation. With short sentences and simple words, first readers can read and understand these books easily. A good way for beginners to put their reading to practice.Featured books: • A surprising goal! • An original advert! • Texas camping • What a fright! • Lost in the Zoo! • Everybody in the ring! • What a Show! • The Odd Student! • Puppy Love! • Woofy in Pain • Woofy Missing! • Happy Holidays! • The Mischief Maker

The maximum sustainable yield (MSY) and status of 54 fishery resources exploited by the Gujarat fishing fleet in the northeastern Arabian Sea were assessed using the data-limited CMSY method. The prioritized fishery resources in this study make a significant contribution to the total marine catch in the region and play a vital role in trophic interactions. The Gujarat marine fisheries recorded an annual percentage growth rate of 5.04 per year from 1985 to 2018. The MSY was computed at 8.73 × 105 t across all resources. The biomass indicators (B/BMSY) indicated alarming overexploitation for commercially exploited resources like Bregmaceros mcclellandi, Tenualosa ilisha, Coilia dussumieri, Euthynnus affinis, Thunnus tonggol, Scomberoides spp., Psettodes erumei, Pampus argenteus, etc. Stock assessment using biological reference points (B/BMSY, F/FMSY) classified 39 resources were found either healthy or slightly overfished (B/BMSY>0.8), while 13 showed varying degrees of overexploitation, including 2 severely depleted species (unicorn cod, silverbellies). The rampant increase of fishing efforts and target exploitation can cause the collapse or overfishing of resources, which eventually affects the integrity of the ecosystem. The fishery and biomass indicators computed in the current study suggest periodic monitoring of overexploited stocks and a framework of rebuilding strategies for grossly overfished and overfished resources.Clinical Trial Number: Not applicable.

We explore the effect of lottery presentation formats on elicitation of risk preferences using a popular probability varying task (Holt & Laury. The American Economic Review92 (5), 1644–1655. 2002) and a payoff-varying task (Drichoutis & Lusk. Journal of Risk and Uncertainty53 (2), 89–106. 2016). The presentation formats use horizontal bars that vary either the width or height of the bars (or both at the same time) to help subjects in judging how large or small probabilities and monetary amounts are in a given choice set. These graphical formats are compared to a text only format. We complement our choice data with eye tracking data that enriches our structural models with additional information regarding how visual attention varies with the presented information. While we find no statistically significant effects of presentation formats on elicited parameters for risk preferences, we find that eye tracking information not only is associated with preference parameters, but it also changes the inferences with respect to which decision theory better fits the choice data.

Even though peer review enjoys sound theoretical support, classroom research has not always provided a clear picture of its effectiveness, particularly when it comes to form-focused editing. In addition to yielding conflicting findings with respect to the number of corrections students make based on peer feedback (Connor & Asenavage, 1994; Mendonça & Johnson, 1994; Paulus, 1999; Villamil & de Guerrero, 1998), several gaps in the literature remain unaddressed, particularly in terms of error detection rates. This study sought to determine to what extent learners are able to (a) detect errors during peer editing, (b) provide each other with correct information, and (c) incorporate peer-provided suggestions in subsequent individual writing tasks. Participants were 20 undergraduate students enrolled in an intermediate Spanish course. They individually wrote a story based on pictures, exchanged papers with a partner, and provided each other with feedback on lexical, grammatical, and orthographic issues. The learners' audio-recorded interactions and the narratives produced by the learners during and after the peer-editing session were analyzed. Results indicate that even though learners detect a small proportion of errors, the majority of corrections were accurate and were incorporated in writing tasks completed immediately after the peer editing session, as well as two weeks later.

Present artificial muscles have been suffering from poor actuation step precision and the need of energy input to maintain actuated states due to weak interactions between guest and host materials or the unstable structural changes. Herein, these challenges are addressed by deploying a mechanism of reversible faradaic insertion and extraction reactions between tetrachloroaluminate ions and collapsed carbon nanotubes. This mechanism allows tetrachloroaluminate ions as a strong but dynamic “locker” to achieve an energy-free high-tension catch state and programmable stepwise actuation in the yarn muscle. When powered off, the muscle nearly 100% maintained any achieved contractile strokes even under loads up to 96,000 times the muscle weight. The actuation mechanism allowed the programmable control of stroke steps down to 1% during reversible actuation. The isometric stress generated by the yarn muscle (14.6 MPa in maximum, 40 times that of skeletal muscles) was also energy freely lockable and step controllable with high precision. Importantly, when fully charged, the muscle stored energy with a high capacity of 102 mAh g–1, allowing the muscle as a battery to power secondary muscles or other devices.

Quantum mechanical electron tunneling is explored as the mediator of chemical bonding. Three topics are addressed. First, a baseball game-of-catch metaphor is employed to elucidate the physics of chemical bonding. According to this metaphor, a baseball player, a baseball, and the act of throwing a baseball are analogous to an atom, an electron, and the act of electron tunneling. Using this framework, the tunneling physics of covalent, polar covalent, ionic, and hydrogen bonding is clarified. Second, gas-state energies associated with frontier orbital positioning are established and are used in the chemical bond tunneling assessment of four homopolar bonds, H–H, NN, OO, and F–F, and four heteropolar bonds, H–F, H–Cl, H–Br, and H–I. Third, a new procedure for estimating solid-state tunneling parameters is introduced, involving quantum confinement of gas-state energy frontier orbitals.

In Cyber-Physical Systems (CPS), sensor data integrity is crucial since acting on malicious sensor data can cause serious consequences, given the tight coupling between cyber components and physical systems. While extensive works focus on sensor attack detection, attack diagnosis that aims to find out when the attack starts has not been well studied yet. This temporal sensor attack diagnosis problem is equally important because many recovery methods rely on the accurate determination of trustworthy historical data. To address this problem, we propose a lightweight data-driven solution to achieve real-time sensor attack diagnosis. Our novel solution consists of five modules, with the attention and diagnosis ones as the core. The attention module not only helps accurately predict future sensor measurements but also computes statistical attention scores for the diagnosis module. Based on our unique observation that the score fluctuates sharply once an attack launches, the diagnosis module determines the onset of an attack through monitoring the fluctuation. Evaluated on high-dimensional high-fidelity simulators and a testbed, our solution demonstrates robust and accurate temporal diagnosis results while incurring millisecond-level computational overhead on Raspberry Pi.

The Matrix Profile is a data structure that annotates a time series by recording each subsequence’s Euclidean distance to its nearest neighbor. In recent years the community has shown that using the Matrix Profile it is possible to discover many useful properties of a time series, including repeated behaviors, anomalies, evolving patterns, regimes, etc. However, the Matrix Profile is limited to representing the relationship between the subsequence’s shapes. It is known that, for some domains, useful information is conserved not in the subsequence’s shapes, but in the subsequence’s features. In recent years a new set of features for time series called catch22 has revolutionized feature-based mining of time series. Combining these two ideas seems to offer many possibilities for novel data mining applications, however, there are two difficulties in attempting this. A direct application of the Matrix Profile with the catch22 features would be prohibitively slow. Less obviously, as we will demonstrate, in almost all domains, using all twenty-two of the catch22 features produces poor results, and we must somehow select the subset appropriate for the domain. In this work we introduce novel algorithms to solve both problems and demonstrate that for most domains, the proposed $\mathrm{C}^{22}$MP is a state-of-the-art anomaly detector.

Our study investigates the economic growth and catch-up of the NUTS3 regions of 6 Central and Eastern European (CEE) member states of the European Union (EU), 4 countries acceding in 2004 (Czechia, Poland, Hungary, and Slovakia) and further two admitted in 2007 (Bulgaria and Romania), compared to the average of 14 older members of the EU between 2000 and 2019. We based our analysis on the urban–rural region types of the EU in the case of 185 regions, identifying predominantly urban, intermediate, and predominantly rural types. We apply Theil Index to examine the development of disparities and test the phenomena with unconditional β-convergence hypothesis. The analysis indicates that the growth of all CEE countries and their regions is faster than the EU14 average; the capitals considerably exceed it, the catch-up of other urban regions is also relatively fast, while it is very slow in the case of other regions. The convergence between the 185 regions is weak, based on the EU region typology it was initially strong between the capitals, moderate in the case of intermediate and rural types, while divergence can be observed in the urban types. The catch-up of less developed regions is very slow despite EU cohesion funding, even though 80% of the population live here. The stagnation of regional disparities and slow catch-up of less developed regions indicate the poor efficiency of the EU cohesion policy.

A minority of children born small for gestational age (SGA) may experience catch-up growth failure and remain short in adulthood. However, the underlying causes and mechanisms of this phenomenon are not yet fully comprehended. We reviewed the present state of research concerning the growth hormone-insulin-like growth factor axis and growth plate in SGA children who fail to achieve catch-up growth. Additionally, we explored the factors influencing catch-up growth in SGA children and potential molecular mechanisms involved. Furthermore, we considered the potential benefits of supplementary nutrition, specific dietary patterns, probiotics and drug therapy in facilitating catch-up growth.

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Fisheries and other activities that exploit nature threaten biodiversity if not effectively managed. With global population growth and increasing demand for seafood, pressure on marine resource-based activities, including fisheries, increases. Concurrently, economic incentives, weak management, and inadequate enforcement enable Illegal, Unreported, and Unregulated (IUU) fishing, undermining sustainability. Achieving a sustainable global fishery that meets rising nutritional demands, in line with Sustainable Development Goal 14, requires efforts to reduce IUU fishing. Automatic catch registration on fishing vessels is proposed to enhance transparency and traceability, improving monitoring, control, and surveillance in fisheries. However, its success depends on industry adoption. We engaged Norwegian fishing fleet representatives in a workshop to discuss their preferences for implementing such technologies. Through conceptual mapping, we identified key themes likely to influence successful implementation. Technological and regulatory factors were perceived as particularly impactful. Participants raised concerns about equipment and operational costs, technological reliability and accuracy, and frustration with perceived top-down management. Although initial skepticism was evident, participants acknowledged potential benefits under certain conditions, including the opportunity to achieve higher prices for fully documented fish, replacement of existing reporting procedures, and greater legal protection and fairness in enforcement. Realizing these benefits was seen as dependent on transparent policy development and stakeholder involvement in the implementation process. To support industry adoption, participants emphasized the need to address the practical, financial, and regulatory challenges they may face. These findings underscore the importance of stakeholder-informed policy to support adoption, strengthen legitimacy, and enable effective implementation in efforts to reduce IUU fishing.