Miracle-dz/UniFAR-FTUs huggingface dataset:
MIT Open Access Articles Effect of H-NS on the elongation and compaction of single DNA molecules in a nanospace

The e ﬀ ect of the bacterial heat-stable nucleoid-structuring protein (H-NS) on the conformation of single DNA molecules con ﬁ ned in a nanochannel was investigated with ﬂ uorescence microscopy. With increasing concentration of H-NS, the DNA molecules either elongate or contract. The conformational response is related to ﬁ lamentation of H-NS on DNA through oligomerization and H-NS mediated bridging of distal DNA segments and is controlled by the concentration and ionic composition of the bu ﬀ er. Con ﬁ nement in a nanochannel also facilitates compaction of DNA into a condensed form for over-threshold concentrations of H-NS. Divalent ions such as magnesium facilitate but are not required for bridging nor condensation. The time scale of the collapse after exposure to H-NS was determined to be on the order of minutes, which is much shorter than the measured time required for ﬁ lamentation of around one hour. We found that the e ﬀ ect of H-NS is not only related to its binding properties but also the con ﬁ nement is of paramount importance. The interplay between con ﬁ nement, H-NS-mediated attraction, and ﬁ lamentation controls the conformation and compaction of DNA. This ﬁ nding might have implications for gene silencing and chromosome organisation, because the cross-sectional dimensions of the channels are comparable to those of the bacterial nucleoid.
Towards Continual Reinforcement Learning for Quadruped Robots

Quadruped robots have emerged as an evolving technology that currently leverages simulators to develop a robust controller capable of functioning in the real-world without the need for further training. However, since it is impossible to predict all possible real-world situations, our research explores the possibility of enabling them to continue learning even after their deployment. To this end, we designed two continual learning scenarios, sequentially training the robot on different environments while simultaneously evaluating its performance across all of them. Our approach sheds light on the extent of both forward and backward skill transfer, as well as the degree to which the robot might forget previously acquired skills. By addressing these factors, we hope to enhance the adaptability and performance of quadruped robots in real-world scenarios.
ENERGY MANAGEMENT IN HYBRID ELECTRIC VEHICLE FOR SUSTAINABLE DEVELOPMENT IN GLOBAL ECONOMY.

s Sustainable energy development is a key issue to global development. Energy is a driver to economic growth and development. The current increase usage of fossil fuels driven by the transport sector is not only a threat to economic stability and energy security of the globe, but also poses risks to health as a result of increasing toxic emissions and climatic changes that alters the environmental conditions. Hybrid electric vehicles (HEVs) and electric vehicles (EVs) are alternatives aiming to replace conventional vehicles that consume fossil fuel and emit CO2 and toxic pollutants. The barrier to these technologies is the battery technology and its required electrical and thermal management to ensure efficient and safe operations. This paper presents Lithium ion battery Pak thermal model incorporated with HEVs power train to serve as a basis to investigate new battery management strategies.
MIT Open Access Articles Comparison of Fixed and Variable Pitch Actuators for Agile Quadrotors

This paper presents the design, analysis and experimental testing of a variable-pitch quadrotor. A custom in-lab built quadrotor with on-board attitude stabilization is developed and tested. An analysis of the dynamic diﬀerences in thrust output between a ﬁxed-pitch and variable-pitch propeller is given and validated with simulation and experimental results. It is shown that variable-pitch actuation has signiﬁcant advantages over the conventional ﬁxed-pitch conﬁguration, including increased thrust rate of change, decreased control saturation, and the ability to quickly and eﬃciently reverse thrust. These advantages result in improved quadrotor tracking of linear and angular acceleration command inputs in both simulation and hardware testing. The beneﬁts should enable more aggressive and aerobatic ﬂying with the variable-pitch quadrotor than with standard ﬁxed-pitch actuation, while retaining much of the mechanical simplicity and robustness of the ﬁxed-pitch quadrotor
EFEITO DA POLINIZAÇÃO POR ABELHAS NA PRODUTIVIDADE DE FEIJÃO (Phaseolus vulgaris L.)

Phaseolus vulgaris is an important cultivated specie in Zona da Mata Mineira. This species show mechanisms of self-fecundation that occur before or near the opening of flowers. However the service of pollination performed by wild bees can improve the productivity and quality of fruits and seeds. The aim of this work was to known the bee fauna visiting flowers of P. vulgaris and quantify the importance of pollination service. This study was carried out in Instituto Federal de Educacao, Ciencia e Tecnologia do Sudeste de Minas Gerais, Rio Pomba, Minas Gerais Satate in an cultivated area of 2.8 ha during the month of may 2012. Bees were collected with entomological nest in intervals of fifteen minutes to 7 until 16 hours. The individuals collected were identified and deposited on entomological collection of Laboratorio de Ecologia do IF Sudeste MG. To quantify their importance of pollinators by bees were prepared an pared experiment of pollination where some flowers was wrapped up in a mesh net (1.5mm pore size), making it impossible for possible
Neuromodulation Inﬂuences Synchronization and Intrinsic Read-out

The roles of neuromodulation in a neural network, such as in a cortical microcolumn, are still incompletely understood. Neuromodulation inﬂuences neural processing by presynaptic and postsynaptic regulation of synaptic efﬁcacy. Synaptic efﬁcacy modulation can be an effective way to rapidly alter network density and topology. We show that altering network topology, together with density, will affect its synchronization. Fast synaptic efﬁcacy modulation may therefore inﬂuence the amount of correlated spiking in a network. Neuromodulation also affects ion channel regulation for intrinsic excitability, which alters the neuron’s activation function. We show that synchronization in a network inﬂuences the read-out of these intrinsic properties. Highly synchronous input drives neurons, such that differences in intrinsic properties disappear, while asynchronous input lets intrinsic properties determine output behavior. Thus, altering network topology can alter the balance between intrinsically vs. synaptically driven network activity. We conclude that neuromodulation may allow a network to shift between a more synchronized transmission mode and a more asynchronous intrinsic read-out mode.
Testing for Bubbles in the Colombian Housing Market: A New Approach 1

In the context of financial crises influenced by the development and burst of housing price bubbles, the detection of exuberant behaviors in the financial market and the implementation of early warning diagnosis tests are of vital importance. This paper applies the bubble-detection methodology developed by Phillips, Shi and Yu (2012) to the most important Colombian residential
RIONA: A New Classiﬁcation System Combining Rule Induction and Instance-Based Learning

The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decision is predicted not on the basis of the whole support set of all rules matching a test case, but the support set restricted to a neighbourhood of a test case. The size of the optimal neighbourhood is automatically induced during the learning phase. The empirical study shows the interesting fact that it is enough to consider a small neighbourhood to achieve classiﬁcation accuracy comparable to an algorithm considering the whole learning set. The combination of k-NN and a rule-based algorithm results in a signiﬁcant acceleration of the algorithm using all minimal rules. Moreover, the presented classiﬁer has high accuracy for both kinds of domains: more suitable for k-NN classiﬁers and more suitable for rule based classiﬁers.
VOILA! A new measure of oil vulnerability for cities

Peak oil, and the ensuing global decline in oil supplies, will adversely affect automobile-dependent personal transport systems. This places users at risk if they are unable to access their activities without oil consumption. This research develops a new measure of oil vulnerability, combining spatial data of vehicle fuel use with a novel transport energy-accessibility metric, the Minimum Energy Transport Activity Access characterisation (METAA), overcoming many of the limitations seen in previous studies. The Vulnerability to Oil: Income, Land-Use and Accessibility (VOILA) assessment identifies vulnerable areas as those where residents might lose access to activities during oil price rises as they can neither afford to spend more on fuel nor adapt their travel patterns to reduce consumption. This new metric allows planners to analyse where, how and why residents are vulnerable. Assessing the oil vulnerability of Christchurch, New Zealand, indicated that although the majority of areas are adaptable, residents in most areas are already spending over 10% of their income on transport, leaving the less adaptable areas
Recipient Recommendation in Enterprises Using Communication Graphs and Email Content

We address the task of recipient recommendation for emailing in enterprises. We propose an intuitive and elegant way of modeling the task of recipient recommendation, which uses both the communication graph (i.e., who are most closely connected to the sender) and the content of the email. Additionally, the model can incorporate evidence as prior probabilities. Experiments on two enterprise email collections show that our model achieves very high scores, and that it outperforms two variants that use either the communication graph or the content in isolation.
Metabolic pro ﬁ les of ultra-processed food consumption and their role in obesity risk in British children

Background & aims: Higher consumption of ultra-processed foods (UPF) has been associated with childhood obesity, but underlying mechanisms remain unclear. We investigated plasma nuclear magnetic resonance metabolic pro ﬁ les of higher UPF consumption and their role in obesity risk in the British ALSPAC cohort. Methods: We performed cross-sectional and prospective metabolome wide association analyses of UPF, calculated from food diaries using the NOVA classi ﬁ cation. In cross-sectional analysis, we tested the association between UPF consumption and metabolic pro ﬁ le at 7 years (N ¼ 4528)
Geospatial blending to improve spatial mapping of precipitation with high spatial resolution by merging satellite‐based and ground‐based data

Estimating accurate spatial distribution of precipitation is important for understanding the hydrologic cycle and various hydro‐environmental applications. Satellite‐based precipitation data have been widely used to measure the spatial distribution of precipitation over large extents, but an improvement in accuracy is still needed. In this study, three different merging techniques (Conditional Merging, Geographical Differential Analysis and Geographical Ratio Analysis) were used to merge precipitation estimations from Communication, Ocean and Meteorological Satellite (COMS) Rainfall Intensity data and ground‐based measurements. Merged products were evaluated with varying rain‐gauge network densities and accumulation times. The results confirmed that accuracy of detecting quantitative rainfall was improved as the accumulation time and network density increased. Also, the impact of spatial heterogeneity of precipitation on the merged estimates was investigated. Our merging techniques reproduced accurate spatial distribution of rainfall by adopting the advantages of both gauge and COMS estimates. The efficacy of the merging techniques was particularly pronounced when the spatial heterogeneity of hourly rainfall, quantified by variance of rainfall, was greater than 10 mm2/accumulation time2. Among the techniques analysed, Conditional Merging performed the best, especially when the gauge density was low. This study demonstrates the utility of the COMS Rainfall Intensity product, which has a shorter latency time (1 h) and higher spatio‐temporal resolution (hourly, 4 km by 4 km) than other widely used satellite precipitation products in estimating precipitation using merging techniques with ground‐based point measurements. The outcome has important implications for various hydrologic modelling approaches, especially for producing near real‐time products. Copyright © 2016 John Wiley & Sons, Ltd.
The study of the relation between education and economic growth: A bibliometric analysis and systematic literature review using VOSviewer

In aim to provide a general reflection on the current state of production concerning the impact of education on economic growth, we represent in this article the process and outcomes of a systematic review of the subject. Our methodology consists of identifying relevant studies based on keywords, titles, and abstracts that verify our research question: What is the state of scientific knowledge produced on the question of the existence of an impact of education on economic growth, and the incidence of this impact? Then, we limited our selection to the studies written in English or French that were published between 1990 and 2022. Our research identified 302 research papers published on Web of Science and verified our criteria. Afterward, in aim to conduct a rich descriptive analysis of the extracted data, we used VOSviewer for bibliometric analysis. In this step, we presented first a bibliometric analysis of publications output followed by a bibliometric analysis of keywords, then a bibliometric analysis of citations and publications, and finally a bibliometric analysis of bibliographic coupling. Finally, in the last step, we conducted a synthesis analysis of the publication’s output and a summary of the theoretical and empirical literature review. From our literature review, we conclude that there are two primary groups into which macroeconomic studies can be divided: growth accounting studies and growth regression studies. However, the empirical models vary depending on the factors employed as substitutes for education, the time period, and the nations involved. While the majority of studies have proven the positive and significant impact of education on economic growth, we have uncovered studies that experimentally refute this effect (Islam, 2001). As a result, the findings are inconsistent which intrigue our interest in this subject even more. However, it is the existence of mixed results concerning the impact of education on economic growth and the incidence of this impact if there is, that led to the production of a big number of studies, using more complex linear and non-linear models, and working with more recent and correct education database, to verify this theory, which makes the economy of education a dynamic research field. In summary, this research provides an important contribution by providing a rigorous and chronological review of the development of the literature concerning the economy of education to facilitate the conduction of future research.
Eﬀect of grape and rootstock on the assimilaon of soil ions in Cuauhtémoc, Chihuahua

The use of rootstocks in modern viticulture is a common practice to avoid the impact of phylloxera and nematodes on vineyards. However, the use of rootstocks affects the metabolic processes of the plant, including the assimilation of water and ions from the soil. In Mexico, as in other grape-growing countries, the use of rootstocks has become widespread to protect vineyards against harmful microorganisms. Nevertheless, little is known about the impact of rootstock use on the physiology of vine varieties. Therefore, this study aimed to evaluate the effect of rootstocks 110-R, 101-14, 1103-P, and 3309-C on the assimilation of nitrogen, phosphorus, sodium, copper, iron, manganese, and zinc in Merlot, Shiraz, and Cabernet Sauvignon vines from Chihuahua, Mexico. The nitrogen concentration did not vary in relation to the rootstock used or the variety grown. In addition, the concentration of N in vine leaves decreased over time. This is the result of the mobilization of ions to storage areas during the period of foliar senescence. On the other hand, the concentration of phosphorus, sodium, copper, iron, and zinc in the leaves of the varieties and rootstocks studied did not present significant differences. Nonetheless, the concentration of Mn in Merlot leaves was 30% higher in vines with rootstock 1103-P compared to vines with rootstock 3309-C. In this study, it was shown that rootstock impacts ion assimilation in wine grape varieties.
Are You Addicted To Your Smartphone? A Study Of University Students

This study examined the extent of smartphone addiction among students at the Islamia University of Bahawalpur in Pakistan. The study was conducted during an event, specifically the 2nd Entrepreneur Festival, which was organised by the IT Department and used event sampling to collect data. Students from a variety of fields, including the arts, education, management sciences, pharmacy, and science, took part in this research project. The Smartphone Addiction Scale-Short Version was used to assess the participants' levels of smartphone addiction. The t-test was used to check the validity of the assumptions that were developed. According to the findings of the study, male students were found to be more involved in smartphone addiction, as compared to female students. Furthermore, the findings found that students who live in metropolitan areas and those who attend arts-related faculty have significant levels of smartphone addiction. The study has various implications for counsellors, parents, and educators to keep an eye out for indicators of smartphone addiction in their children and to offer them the required support. At the end of the study, the limits of the study were looked at, as well as ideas for future research.
An Efficacious Content Caching and Eviction Priorities (CCEP) for In-network Caching High Performance in Information-centric Networking

—In-network caching is a popular information-centric networking (ICN) research topic due to the significant role in improving network performance to provide efficient data delivery. It is managed by a caching strategy that decides what, where, and when the content is cached. Accordingly, numerous caching strategies have been proposed to solve the drawbacks which existed in the default caching strategy to enhance ICN performance, although the majority of the proposed strategies were inadequate to produce efficient performance improvement. Meanwhile, popularity-based caching strategies are the most optimal approach, despite the disadvantages in calculating content popularity. Thus, this study presents an alternative caching strategy, namely Efficacious Content Caching and Eviction Priorities (CCEP), for ICN high performance. The CCEP could precisely calculate the content caching and eviction priorities based on the content popularity through significant factors. Simultaneously, the CCEP avoids the existing disadvantages in present caching strategies to obtain the highest performance in hop reduction, cache hit ratio, and the number of caching operations. The CCEP demonstrated significantly higher performance than the default caching strategy by elevating the hop reduction to 1667% and cache hit ratio by 1815%, while reducing the number of caching operations by 99%. The CCEP could also increase hop reduction by 53% and cache hit ratio by 17%, while reducing the number of caching operations to 21% compared to other improved caching strategies.
On the Stokes Flow in Pipes with the Polygonal Cross-Section

—In the paper an unsteady incompressible fluid flow in a prismatic pipe is studied for the low Reynolds number. The linearized Navier-Stokes equation (the Stokes equation) is considered with the suitable initial-boundary conditions. It is assumed that the pressure exponentially depends on time . The Stokes equation is reduced to the system of linear integral equations with the weakly singular kernel. The existence and uniqueness of the solutions of those equations is proved and the approximate solutions are obtained by means of the conformal mapping and the stepwise approximation methods. The example of the pipe with the hexagonal cross-section is considered.
MIT Open Access Articles Microscale Technologies for Tissue Engineering

—Microscale technologies are emerging as enabling tools for tissue engineering and biology. Here, we present our experience in developing microscale technologies to regulate cell-microenvironment interactions and generate engineered tissues. Specifically, we will describe the use of microengineered shape-controlled hydrogels to generate biomimetic 3D tissue architectures, the utility of surface patterning approaches for controlling cell-cell interactions and engineered microchannels for controlling cell-soluble factor interactions.
Ploidy and the Predictability of Evolution in Fishers Geometric Model

Predicting adaptive evolutionary trajectories is a primary goal of evolutionary biology. One can differentiate between forward and backward predictability, where forward predictability measures the likelihood of the same adaptive trajectory occurring in independent evolutions and backward predictability measures the likelihood of a particular adaptive path given the knowledge of starting and final states. Recent studies have attempted to measure both forward and backward predictability using experimental evolution in asexual haploid microorganisms. Similar experiments in diploid organisms have not been conducted. Here we simulate adaptive walks using Fisher's Geometric Model in haploids and diploids and find that adaptive walks in diploids are less forward- and more backward-predictable than adaptive walks in haploids. We argue that the difference is due to the ability of diploids in our simulations to generate transiently stable polymorphisms and to allow adaptive mutations of larger phenotypic effect. As stable polymorphisms can be generated in both haploid and diploid natural populations through a number of mechanisms, we argue that inferences based on experiments in which adaptive walks proceed through succession of monomorphic states might miss many of the key features of adaptation.
Systematic Analysis on Quick Development of Bamboo Industry in Zhejiang Province： A Case Study for Successful Development Approach of China＇s Booming Bamboo Industry

China is globally acknowledged as "Kingdom of Bamboo",and Zhejiang Province is nationally recognized as the first province of bamboo in China.Systematic and overall analysis is made by the approach of case study on why Zhejiang can get such a marvelous achievement so as to provide significant references and instructions for bamboo development for other countries who desire to learn technologies and know-how from China.The main contributions are concluded as below:1)Quick progress of bamboo technology provides a strong back-up for bamboo industry development;2)Governmental supports promote the balanced development of bamboo industry,including favorable policy,financial support;3)Good relation of bamboo cultivation and processing;4)Special soci-economic and humanitarian advantages for bamboo development,including good export environment,dynamic private economy,bamboo industry zone,excellent talents of bamboo;and 5)Quick expansion of international and domestic bamboo market stimulates and drives the development of bamboo industry