Miracle-dz/UniFAR-FTUs huggingface dataset:
A Distributed AI Framework for Nano-Grid Power Management and Control

Due to their minimal environmental impact, green energy sources like wind turbines and solar panels are increasingly utilized in power systems. However, the power they generate is highly variable, leading to unpredictable fluctuations in power supply. Additionally, advanced smart functions in consumer devices and their unpredictable usage patterns contribute to similar fluctuations in power consumption. These fluctuations present a significant challenge to the stability and quality of the power grid, creating a complex issue of power imbalance that becomes harder to manage. Innovative management and control approaches are necessary to address these challenges and thus support the shift to sustainable energy sources. Artificial intelligence (AI) techniques are increasingly proposed as promising solutions, albeit mostly implemented as isolated solutions within centralized power control systems. To effectively manage the complex and often large scale power systems, this paper advocates the use of a Distributed AI (DAI) framework as imperative in enhancing their agility and stability. An illustrative Nano-Grid example (including the potential use of battery sources in extreme scenarios) is adopted to demonstrate the framework’s utility, and a number of power control strategies to safeguard the power system against the variability of both power generators and loads are theoretically formulated and then realized within the proposed framework. Linear Programming, Ant Colony Optimization, Genetic Algorithms, and Particle Swarm Optimization techniques are experimented with, and through simulations, the utility of the DAI framework is demonstrated. The findings underscore the effectiveness and potential benefits of the proposed framework in ensuring the safe and effective operation of power systems with the use of particle swarm optimization amid fluctuating energy scenarios with a small to large number of devices in the nano-grid.
Smoking cessation in adults with diabetes: a systematic review and meta-analysis of data from randomised controlled trials

Objectives To evaluate the effects of more intensive smoking cessation interventions compared to less intensive interventions on smoking cessation in people with type 1 or type 2 diabetes. Design A systematic review and meta-analysis of randomised trials of smoking cessation interventions was conducted. Electronic searches were carried out on the following databases: MEDLINE, EMBASE, CINAHL and PsycINFO to September 2013. Searches were supplemented by review of trial registries and references from identified trials. Citations and full-text articles were screened by two reviewers. A random-effect Mantel-Haenszel model was used to pool data. Setting Primary, secondary and tertiary care. Participants Adults with type 1 or type 2 diabetes. Interventions Smoking cessation interventions or medication (more intensive interventions) compared to usual care, counselling or optional medication (less intensive interventions). Outcome measures Biochemically verified smoking cessation was the primary outcome. Secondary outcomes were adverse events and effects on glycaemic control. We also carried out a pooled analysis of self-reported smoking cessation outcomes. Results We screened 1783 citations and reviewed seven articles reporting eight trials in 872 participants. All trials were of 6 months duration. Three trials included pharmacotherapy for smoking cessation. The risk ratio of biochemically verified smoking cessation was 1.32 (95% CI 0.23 to 7.43) for the more intensive interventions compared to less intensive interventions with significant heterogeneity (I2=76%). Only one trial reported measures of glycaemic control. Conclusions There is an absence of evidence of efficacy for more intensive smoking cessation interventions in people with diabetes. The more intensive strategies tested in trials to date include interventions used in the general population, adding in diabetes-specific education about increased risk. Future research should focus on multicomponent smoking cessation interventions carried out over a period of at least 1 year, and also assess impact on glycaemic control.
Influence of Zr Addition on the Microstructure and Hydrogenation Kinetics of Ti50−xV25Cr25Zrx (x = 0, 5, 7, and 9) Alloys

Due to the poor activation performance and kinetics of Ti50V25Cr25 alloys, the element Zr was added to improve the phase structure of the alloy and achieve a high-performance hydrogen storage alloy. The Ti50−xV25Cr25Zrx (x = 0, 5, 7, and 9) system alloys were prepared by arc melting. The alloys were analyzed using an X-ray diffractometer (XRD), scanning electron microscope (SEM), and differential scanning calorimeter (DSC). The hydrogen storage capabilities of the alloys were also obtained by the Sievert volumetric method. The results indicated that the alloy with Zr added had a combination of the C15 Laves phase and the BCC phase, whereas the Zr-free alloy had a BCC single phase. The partial replacement of Zr with Ti resulted in an increase in the lattice parameters of the main phase. The hydrogen storage kinetic performance and activation of the alloys both significantly improved with an increasing Zr concentration. The time to reach 90% of the maximum hydrogen storage capacity decreased to 2946 s, 230 s, and 120 s, respectively, with the increases in Zr concentration. The initial hydrogen absorption content of the alloys increased and then decreased after the addition of the element Zr. The second phase expanded with an increasing Zr concentration, which in turn decreased the abundance of the BCC main phase. The Ti43V25Cr25Zr7 alloy showed good cycle stability and hydrogen-desorption performance, and it could absorb 90% of the maximum hydrogen storage capacity in around 230 s. The maximum hydrogen-absorption capacity of the alloy was 2.7 wt%. The diffusion activation energy of hydrogen desorption dropped from 102.67 kJ/mol to 92.62 kJ/mol.
Before It Gets Started: Regulating Translation at the 5′ UTR

Translation regulation plays important roles in both normal physiological conditions and diseases states. This regulation requires cis-regulatory elements located mostly in 5′ and 3′ UTRs and trans-regulatory factors (e.g., RNA binding proteins (RBPs)) which recognize specific RNA features and interact with the translation machinery to modulate its activity. In this paper, we discuss important aspects of 5′ UTR-mediated regulation by providing an overview of the characteristics and the function of the main elements present in this region, like uORF (upstream open reading frame), secondary structures, and RBPs binding motifs and different mechanisms of translation regulation and the impact they have on gene expression and human health when deregulated.
Advancements in Reordering Models for Statistical Machine Translation

In this paper, we propose a novel reordering model based on sequence labeling techniques. Our model converts the reordering problem into a sequence labeling problem, i.e. a tagging task. Results on five Chinese-English NIST tasks show that our model improves the baseline system by 1.32 BLEU and 1.53 TER on average. Results of comparative study with other seven widely used reordering models will also be reported.
Risk factors for medical disability in U.S. enlisted Marines: fiscal years 2001 to 2009.

OBJECTIVE To assess factors associated with medical disability in the U.S. Marine Corps. METHODS Case-control study enrolling 11,554 medical disability cases of U.S. enlisted Marines referred to the Physical Evaluation Board fiscal year 2001 to 2009 and 42,216 controls frequency matched to cases in a 4:1 ratio on year of accession into the service were analyzed utilizing bivariate and multivariate logistic regression analysis. RESULTS Increased age and body mass index at accession were associated with higher odds of medical disability. Females (odds ratio adjusted [OR(adj)] = 1.3, 95% confidence interval [CI] = 1.2-1.3) have higher odds of disability than males. "Healthy Warrior Effect" was observed in that those who deployed (OR(adj) = 0.48, 95% CI = 0.46-0.50) had decreased odds of medical disability than those who did not deploy. Medical waivers at accession (OR(adj) = 1.12, 95% CI = 1.01-1.23) increased the odds of medical disability. CONCLUSIONS Continued surveillance of the disability evaluation system is needed to help develop preventive measures and to help policy makers establish evidence-based policies on accession, deployment, and retention standards over the lifecycle of service members.
GRIT AND SOCIAL SUPPORT AS THE MODALITY OF SALES PROMOTER JOB PERFORMANCE

Sales promoters have an essential role in achieving the company’s profit. Therefore, they are required to have a good performance. However, they often encounter various difficulties during their job performance that decrease employee performance. In overcoming this issue, grit exists in each individual, and social support from the sales promoter’s environment can help them increase their job performance. This research objective is to examine the influence of grit and social support on the job performance of sales promoters. The sampling technique used is simple random sampling. The sample of this research is a group of 180 sales promoters consisting of 132 men and 48 women with an age range of 20-40 years (M = 2.54; SD = 1.027). The instruments used in this study were the Job Performance Scale (24 items, α = .856), Grit Scale (20 items, α = .604), and Social Support Scale (30 items, α = .877). The analysis test by the multiple linear regression with the hypothesis testing t-test statistic showed a positive and statistically significant influence of grit and social support on the sales promoter job performance, adjusted R 2 = . 608; F(2, 177) = 140.057, p < . 001.
Signatures of Demography and Recombination at Coding Genes in Naturally-Distributed Populations of Arabidopsis Lyrata Subsp. Petraea

Demography impacts the observed standing level of genetic diversity present in populations. Distinguishing the relative impacts of demography from selection requires a baseline of expressed gene variation in naturally occurring populations. Six nuclear genes were sequenced to estimate the patterns and levels of genetic diversity in natural Arabidopsis lyrata subsp. petraea populations that differ in demographic histories since the Pleistocene. As expected, northern European populations have genetic signatures of a strong population bottleneck likely due to glaciation during the Pleistocene. Levels of diversity in the northern populations are about half of that in central European populations. Bayesian estimates of historical population size changes indicate that central European populations also have signatures of population size change since the last glacial maxima, suggesting that these populations are not as stable as previously thought. Time since divergence amongst northern European populations is higher than amongst central European populations, suggesting that the northern European populations were established before the Pleistocene and survived glaciation in small separated refugia. Estimates of demography based on expressed genes are complementary to estimates based on microsatellites and transposable elements, elucidating temporal shifts in population dynamics and confirming the importance of marker selection for tests of demography.
Software Reuse in Open Source: A Case Study

A promising way to support software reuse is based on Component-Based Software Development CBSD. Open Source Software OSS products are increasingly available that can be freely used in product development. However, OSS communities still face several challenges before taking full advantage of the "reuse mechanism": many OSS projects duplicate effort, for instance when many projects implement a similar system in the same application domain and in the same topic. One successful counter-example is the FFmpeg multimedia project; several of its components are widely and consistently reused in other OSS projects. Documented is the evolutionary history of the various libraries of components within the FFmpeg project, which presently are reused in more than 140 OSS projects. Most use them as black-box components; although a number of OSS projects keep a localized copy in their repositories, eventually modifying them as needed white-box reuse. In both cases, the authors argue that FFmpeg is a successful project that provides an excellent exemplar of a reusable library of OSS components.
Fire Risk Assessment of Combustible Exterior Cladding Using a Collective Numerical Database

Recent high-profile building fires involving highly-combustible external cladding panels in Australia as well as Dubai, China, and the United Kingdom have created a heightened awareness by the public, government, and commercial entities to act on the risks associated with non-compliant building structures. In this paper, a database of fire events involving combustible aluminium composite panels was developed based on (i) review of relevant major fire events in Australia and other countries, and (ii) numerical simulation of the ignitability, fire spread, and toxic emissions associated with composite panels. Through the application of large-eddy-simulation (LES)-based computational fire field models, the associated risks for a standardized two-storey building with external cladding was considered in this study. A total of sixteen simulation cases with different initial sizes of the fire and different air cavity widths in the exterior cladding assembly were examined to investigate the tolerable situations and their influences. It was discovered that for most cases, with an initial fire size greater than 400 kW/m−2, the fire will spread from the first to second floor before the allowed egress time period.
Csi 28th Annual Computer Security Conference Cost-benefit Analysis for Network Intrusion Detection Systems

Assessing the cost-benefit tradeoff of a network intrusion detection system requires an understanding of the effectiveness of the system and the cost of its employment. In this paper, we propose a cost-benefit analysis methodology and build a cost model based on an investigation of the cost factors and categories of various intrusions. The model can be used to quantitatively and qualitatively calculate the cost of detecting and responding to an intrusion, and provide necessary advice for determining the tradeoff between costs and benefits. Our overall goal is use of this model in a real-time network intrusion detection system. Therefore, we provide an example of our cost model’s application in the cooperative intrusion detection system Hummer.
Visco-acoustic data modeling using optimum layer approximation technique: greenwood oil field example, USA

It is desirable to use Finite Element (FE) or Finite Difference (FD) method to simulate elastic data for cross-hole seismic surveys. But FE and FD are computationally intensive and time-expensive for full wave-field modeling of large cross-hole survey. The computation cost – space and time- of elastic data modeling inhibits the use of synthetic data for providing solution to cross-hole geophysics problems . On the other hand, acoustic synthetic data require less computation time but lacks some of seismic arrivals seen in the field data. In this study a recursive reflectivity method incorporating P and S wave properties and attenuation effects is formulated to model cross-hole seismic data. The model is tested using a set of field data acquired in Green Wood field, USA. The visco-acoustic data modeled by the recursive reflectivity method show improvement over the acoustic data and gave a perfect match to the elastic and field data. The visco-acoustic data featured the different seismic arrivals seen in the field and elastic synthetic data. The data simulation method is stable, efficient, and fast. The inclusion of a scheme for determining the optimum layer model further reduced the computation time without compromising the quality of the results: only about one-eight of the time require for elastic data is needed to produce the equivalent visco-acoustic data. Because of its low computation cost, the study highlights the strong potentials for solving the problem of inefficient algorithm for processing and imaging cross-hole data, with a consequence of using cross-hole technology as a routine in oil and gas industry. Keywords: Cross-hole seismic survey; synthetic data; acoustic wave simulation; visco-acoustic
Ten Pairs to Tag – Multilingual POS Tagging via Coarse Mapping between Embeddings

In the absence of annotations in the target language, multilingual models typically draw on extensive parallel resources. In this paper, we demonstrate that accurate multilingual part-of-speech (POS) tagging can be done with just a few (e.g., ten) word translation pairs. We use the translation pairs to establish a coarse linear isometric (orthonormal) mapping be-tween monolingual embeddings. This enables the supervised source model expressed in terms of embeddings to be used directly on the target language. We further reﬁne the model in an unsupervised manner by initializing and regularizing it to be close to the direct transfer model. Averaged across six languages, our model yields a 37.5% absolute improvement over the monolingual prototype-driven method (Haghighi and Klein, 2006) when using a comparable amount of super-vision. Moreover, to highlight key linguistic characteristics of the generated tags, we use them to predict typological properties of languages, obtaining a 50% error reduction relative to the prototype model. 1
Toward a Mechanism of Prion Misfolding and Structural Models of PrPSc: Current Knowledge and Future Directions

Despite extensive investigation, many features of prion protein misfolding remain enigmatic. Physicochemical variables known to influence misfolding are reviewed to help elucidate the mechanism of prionogenesis and identify salient features of PrPSc, the misfolded conformer of the prion protein. Prospective work on refinement of candidate PrPSc models based on thermodynamic considerations will help to complete atomic-scale structural details missing from experimental studies and may explain the basis for the templating activity of PrPSc in disease.
Flexible and efficient XML search with complex full-text predicates

Recently, there has been extensive research that generated a wealth of new XML full-text query languages, ranging from simple Boolean search to combining sophisticated proximity and order predicates on keywords. While computing least common ancestors of query terms was proposed for efficient evaluation of conjunctive keyword queries by exploiting the document structure, no such solution was developed to evaluate complex full-text queries. We present efficient evaluation algorithms based on a formalization of XML queries in terms of keyword patterns and an algebra which manipulates pattern matches. Our algebra captures most existing languages and their varying semantics and our algorithms combine relational query evaluation techniques with the exploitation of document structure to process queries with complex full-text predicates. We show how scoring can be incorporated into our framework without compromising the algorithms complexity. Our experiments show that considering element nesting dramatically improves the performance of queries with complex full-text predicates.
License Plate Localization Using Concurrent Columns 2. Introduction 3. past Work

1. ABSTRACT In this paper, we propose a novel approach to localizing the license plate of an image. First, we apply the pre-processing to the initial image. Second, we apply the vertical gradient finding to the pre-processed image. Third, we localize concurrent columns to generate possible plate regions. Next, we remove geometrically impossible plates. Using Haar-like features, an AdaBoost learner classifies plate regions as a plate or not. The remaining plate regions are checked for overlapping and merged if so. Our extensive experimental results show that even with an algorithm that produces the proper license plate 50% of the time our accuracy is 99.6% with relatively quick runtimes. With a few adages to what is already created, it is possible for this algorithm to be very effective and efficient. In modern day society, License Plate Localization and Recognition is becoming a larger part of many transportation systems. This technique is used in several systems to do anything from computing throughput of traffic structures, billing patrons for the use of certain traffic structures, or for overall traffic management. Improving this technology would allow these systems to run on higher speeds of traffic and with less cost. Many methods for license plate localization have been proposed. Shen-Zheng Wang and Hsi-Jian Lee [1] suggest the use of cascading rejecters, including an AdaBoost Learner trained with Haar-like features. While this method is fast and efficient, having AdaBoost classify each possible plate region takes time. While this time could be cut in more than half by simply excluding regions that do not satisfy the geometric conditions of a license plate. Our goal is to investigate the effectiveness of our approach as compared to past work done in license plate localization.
Efficient Gaussian Elimination on a 2D SIMD Array of Processors without Column Broadcasts

This paper presents an efficient method for implementing the Gaussian elimination technique for an nxm (m>=n) matrix, using a 2D SIMD array of nxm processors. The described algorithm consists of 2xn-1=O(n) iterations, which provides an optimal speed-up over the serial version. A particularity of the algorithm is that it only requires broadcasts on the rows of the processor matrix and not on its columns. The paper also presents several extensions and applications of the Gaussian elimination algorithm.
Mid‐Holocene frozen ground in China from PMIP3 simulations

Extensive degradation of frozen ground in the mid‐Holocene is widely assumed on the basis of sparse proxy data. Here, the simulated soil temperature from the Paleoclimate Modelling Intercomparison Project Phase 3 is used to address this issue over China. By comparing with the results of a preindustrial (0 ka, baseline) simulation, we show that frozen ground in the mid‐Holocene (6 ka) simulation is degraded mainly in northeast China and on the northern Tibetan Plateau. The change follows closely orbitally induced variations in insolation. Quantitatively, permafrost area reduces by 0.02×106 km2 in northeast China in response to an orbitally induced increase in boreal summer insolation but increases by 0.08×106 km2 on the southern Tibetan Plateau due to local summer cooling. Changing values of active layer thickness vary greatly amongst different locations. On average, they are 3 and 4 cm thicker than the preindustrial values in northeast China and on the Tibetan Plateau, respectively. No degradation in seasonally frozen ground is detected over China as a whole. Regionally, its coverage increases by 0.21×106 km2 near the middle and lower reaches of the Yangtze River valley. In addition, the maximum depth of seasonal frost penetration is on average 8.5 cm deeper than preindustrial values due to widespread winter cooling. The changes in frozen ground are consistent amongst models. However, the models disagree with proxy data in terms of not only the changes in frozen ground but also climate. Further modelling improvements and adequate proxy data are both needed to fill in the gaps between models and the data in our knowledge of the mid‐Holocene frozen ground.