Miracle-dz/UniFAR-FTUs huggingface dataset:
Intelligent Multi Criteria Model for Load Balancing in Cloud Environment

The objective of the model “Intelligent Multi Criteria Model for Load Balancing in Cloud Environment” is to minimize the decision by using an automatic decision making tool, analytical hierarchy process (AHP) and to maximize the performance of cloud computing system by considering three parameters simultaneously for load balancing decision. The main motive of High Performance Computing (HPC) is to enhance the computing power of a computer system. To implement HPC, various methods are introduced, like Cluster Computing, Grid Computing and Cloud Computing . Providing a HPC environment is one of the primary goals of the Cloud Computing. Cloud is a model in which resources are scattered in distributed manner; there is no any central authority to control the resources. A computer system can use these resources to perform the parallel computing [2]. These resources can be provided by some trusted or un-trusted providers. Cloud is dynamic in nature; client may join or leave itself from the Cloud network at any instance of time, depending upon its requirements. Any user can execute its larger application on his own computer by using available resources on Cloud; end user perceives that the application is running on its own computer system. In same manner many users can share their resource between or among each other by which applications running on each system can be parallelized [3]. Cloud computing abstracts have to the details of system implementation from users and developers. Applications run on physical systems that aren't specified, data is stored in locations that are unknown, administration of systems is outsourced to others, and access by users is ubiquitous. Cloud computing virtualizes systems by pooling and sharing resources. Systems and storage can be provisioned as needed from a centralized infrastructure, costs are assessed on a metered basis, multi-tenancy is enabled, and resources are scalable with agility. Computing as a utility is a dream that dates from the beginning of the computing industry itself. A set of new technologies has come along that, along with the need for more efficient and affordable computing, has enabled an on-demand system to develop .
Early Indicators of Later English Reading Comprehension Outcomes Among Children From Spanish-Speaking Homes

ABSTRACT In this longitudinal study, we examined the relationship between primary grade (K–2) Spanish and English language- and word-based skills and later English reading comprehension (RC) outcomes (Grades 5 and 8) among children (n = 148) from immigrant, Spanish-speaking, low-income homes in English instructional contexts since kindergarten entry. As expected, early skills, especially those in English, contributed to later RC outcomes. Most uniquely, we identified a developmental shift in the contribution of language- and word-based skills on students’ RC outcomes. Specifically, word-based skills were consistently predictive of Grade 5 RC outcomes, whereas the contribution of language-based skills emerged for Grade 8 RC outcomes. Finally, we also found that the relationship between early skills and later RC outcomes varied depending on students’ RC levels. These results underscore the increasingly important role that early language-based skills play for later English reading comprehension outcomes, and we discuss theoretical and practical implications of this work.
The Relationship between Sleep-Wake Cycle and Cognitive Functioning in Young People with Affective Disorders

Although early-stage affective disorders are associated with both cognitive dysfunction and sleep-wake disruptions, relationships between these factors have not been specifically examined in young adults. Sleep and circadian rhythm disturbances in those with affective disorders are considerably heterogeneous, and may not relate to cognitive dysfunction in a simple linear fashion. This study aimed to characterise profiles of sleep and circadian disturbance in young people with affective disorders and examine associations between these profiles and cognitive performance. Actigraphy monitoring was completed in 152 young people (16–30 years; 66% female) with primary diagnoses of affective disorders, and 69 healthy controls (18–30 years; 57% female). Patients also underwent detailed neuropsychological assessment. Actigraphy data were processed to estimate both sleep and circadian parameters. Overall neuropsychological performance in patients was poor on tasks relating to mental flexibility and visual memory. Two hierarchical cluster analyses identified three distinct patient groups based on sleep variables and three based on circadian variables. Sleep clusters included a ‘long sleep’ cluster, a ‘disrupted sleep’ cluster, and a ‘delayed and disrupted sleep’ cluster. Circadian clusters included a ‘strong circadian’ cluster, a ‘weak circadian’ cluster, and a ‘delayed circadian’ cluster. Medication use differed between clusters. The ‘long sleep’ cluster displayed significantly worse visual memory performance compared to the ‘disrupted sleep’ cluster. No other cognitive functions differed between clusters. These results highlight the heterogeneity of sleep and circadian profiles in young people with affective disorders, and provide preliminary evidence in support of a relationship between sleep and visual memory, which may be mediated by use of antipsychotic medication. These findings have implications for the personalisation of treatments and improvement of functioning in young adults early in the course of affective illness.
Father Involvement In Child Care For Toddler Viewed From Marrital Satisfaction On Wife's Point Of View

Currently father’s role is not merely to earn money for family but also to involve in parenting for the children. Father involvement in parenting can affect psychological condition of the mother, the condition of which will make her happy and pleased because her husband is willing to spend time to do parenting tasks although he is busy to earn some money for the family. This condition is believed to be able to increase marriage satisfaction from the wife’s perspective. This study aims at finding out the connection between father involvement in parenting and marriage satisfaction from the wife’s perspective. This study is a correlational study to find a relationship between two variables. Sample taking was by cluster random sampling technique, there were 6 villages as research area at Singosari sub district of Malang district. The research subject were 100 housewives of working men, having first children of 1 to 3 years of age, and do not have any assistant to take care their children. Data collection was obtained through father involvement scale which was self-developed by the researcher, while marriage satisfaction scale was adapted from ENRICH Marital Satisfaction Scale. Test analysis using product moment pearson correlation shows that there is a significantly positive relation between father involvement in parenting with wife satisfaction in marriage. Father involvement in parenting has effect toward wife satisfaction in marriage as much as 39.4% while the rest is affected by other factors (r = 0,628; p = 0,000; R2 = 0,394).
Type inference for locality analysis of distributed data structures

In languages with distributed heap data structures, the type system typically conveys only coarse locality information: whether a reference is local or possibly remote. Often, of interest to the optimizing compiler or the user is a more fine-grain information, such as whether two remote references point to objects in the same partition of the distributed heap. This paper proposes a dependent type system, called place types, to capture such fine-grain locality information. The type of each reference identifies the heap partition, called a place, that the reference points to. This type system is expressive enough to statically type several commonly used distributed data structures. It also accommodates a "dynamic" type when no suitable static type exists. We show how to embed this type system as type annotations in the X10 programming language. We also present a type inference algorithm for saving programmers from the burden of inserting type annotations. The type inference has been inspired by the use of type inference in functional programming languages such as ML. We have implemented the type inference algorithm in the X10 compiler. Experiments with small programs, but with the full set the relevant language features, have been successful in automatically finding the expected place types in these programs.
A steganographic method for images with modulus function and modified LSB replacement based on PVD

In this paper, a steganographic method is presented for hiding data in images. This method uses the modified least significant bits (MLSB) and modulus function with pixel value differencing (MF&PVD) techniques. Using the proposed method the capacity of the hidden secret data and stego image quality are improved. First, a different value from two consecutive pixels using of the PVD method is obtained. A small difference value represents a smooth area and the large one denotes an edge area. In the smooth areas, the secret data is hidden into the cover image by MLSB method to achieve more capacity and better quality and in the edged areas the MF&PVD method is used. In the MLSB method first secret data is hidden into each block of image by standard k-LSB (k/2 bits of each pixel). Then, for improvement of stego image quality, difference between pixel of cover image and pixel of stego image is reduced by complementing the significant bits. In the MF&PVD method the secret data is embedded in remainder value of each block. Experimental results which are compared with the MF&PVD and other methods show that our proposed method can hide more information whereas the visual quality of stego image is also improved.
LENATM (Language ENvironment Analysis System) : un système de reconnaissance automatique de la parole et de l’environnement langagier de l’enfant

LENA est un systeme permettant un enregistrement audio continu sur une journee, puis la segmentation et l’analyse du traitement automatique du signal acoustique. L’algorithme de la reconnaissance de la parole developpe par les concepteurs du systeme LENA permet de delivrer des informations importantes sur la parole percue par l’enfant au neurodeveloppement typique, a risque (milieu socioeconomique defavorise), ou atypique (enfant presentant une deficience auditive, une prematurite ou un trouble du spectre autistique). Les etudes utilisant ce systeme ont explose ces cinq dernieres annees et confirment son interet technologique, notamment dans le domaine de l’intervention. La recherche fondamentale sur la parole et le langage commence aussi a entrevoir l’interet des fonctionnalites de cet outil qui permet d’une part une automatisation des nombreux comptages sur lesquels s’appuient les etudes quantitatives portant a la fois sur les productions de l’enfant et sur la perception de la parole qu’il entend, et d’autre part parce qu’il constitue une aide non negligeable a la transcription de corpus denses. Cette meta-analyse recense les avantages et les limites du systeme LENA (Langage ENvironment Analysis), ses applications dans les domaines de la recherche clinique et fondamentale et ses perspectives.
Goal Recognition Design for Non-Optimal Agents

Goal recognition design involves the offline analysis of goal recognition models by formulating measures that assess the ability to perform goal recognition within a model and finding efficient ways to compute and optimize them. In this work we present goal recognition design for non-optimal agents, which extends previous work by accounting for agents that behave non-optimally either intentionally or naıvely. The analysis we present includes a new generalized model for goal recognition design and the worst case distinctiveness (wcd) measure. For two special cases of sub-optimal agents we present methods for calculating the wcd, part of which are based on novel compilations to classical planning problems. Our empirical evaluation shows the proposed solutions to be effective in computing and optimizing the wcd.
Tissue-Specific Effects of Reduced β-catenin Expression on Adenomatous Polyposis Coli Mutation-Instigated Tumorigenesis in Mouse Colon and Ovarian Epithelium

Adenomatous polyposis coli (APC) inactivating mutations are present in most human colorectal cancers and some other cancers. The APC protein regulates the β-catenin protein pool that functions as a co-activator of T cell factor (TCF)-regulated transcription in Wnt pathway signaling. We studied effects of reduced dosage of the Ctnnb1 gene encoding β-catenin in Apc-mutation-induced colon and ovarian mouse tumorigenesis and cell culture models. Concurrent somatic inactivation of one Ctnnb1 allele, dramatically inhibited Apc mutation-induced colon polyposis and greatly extended Apc-mutant mouse survival. Ctnnb1 hemizygous dose markedly inhibited increases in β-catenin levels in the cytoplasm and nucleus following Apc inactivation in colon epithelium, with attenuated expression of key β-catenin/TCF-regulated target genes, including those encoding the EphB2/B3 receptors, the stem cell marker Lgr5, and Myc, leading to maintenance of crypt compartmentalization and restriction of stem and proliferating cells to the crypt base. A critical threshold for β-catenin levels in TCF-regulated transcription was uncovered for Apc mutation-induced effects in colon epithelium, along with evidence of a feed-forward role for β-catenin in Ctnnb1 gene expression and CTNNB1 transcription. The active β-catenin protein pool was highly sensitive to CTNNB1 transcript levels in colon cancer cells. In mouse ovarian endometrioid adenocarcinomas (OEAs) arising from Apc- and Pten-inactivation, while Ctnnb1 hemizygous dose affected β-catenin levels and some β-catenin/TCF target genes, Myc induction was retained and OEAs arose in a fashion akin to that seen with intact Ctnnb1 gene dose. Our findings indicate Ctnnb1 gene dose exerts tissue-specific differences in Apc mutation-instigated tumorigenesis. Differential expression of selected β-catenin/TCF-regulated genes, such as Myc, likely underlies context-dependent effects of Ctnnb1 gene dosage in tumorigenesis.
Model Predictive Control for Energy Dispatch of a Photovoltaic-Diesel-Battery Hybrid Power System

Abstract The photovoltaic-diesel-battery (PDB) hybrid system is proposed previously to satisfy power requirements in some remote areas locating out of national power grid. However, to dispatch the uses of different components in PDB hybrid system remains a problem. In this paper, mathematical model of the PDB hybrid system is transformed into an MIMO linear state-space form, and model predictive control (MPC) is applied to its energy dispatching problem. In the MPC design, an objective function is constructed to penalize the use of diesel generator and battery bank, while the use of photovoltaic array is encouraged. Constraints of the system are modeled according to its practical limitations, and are expressed in a compact form. The proposed MPC is designed by using the standard receding horizontal technique. Performances of the closed-loop system is demonstrated by simulation examples, where disturbances in load demand and photovoltaic (PV) power are considered.
First impressions on the state of cellular data connectivity in India

Cellular penetration in India has grown tremendously in recent years and provides an opportunity to bridge the digital divide. However, there is little understanding of the state of cellular data connectivity in India. In this paper, we present first impressions on cellular data network performance in India. We present a measurement framework designed specifically for remote deployments and intermittent connectivity. Using this framework we evaluate three GSM based and one CDMA based cellular service providers through active measurements conducted at five rural, one semi-urban, and one urban locations. Through analysis of about 450 hours of measurement data collected over a 3-month period, we present the throughput and latency performance of cellular service providers and provide insights into the architecture of the service provider networks. Our analysis reveals aspects in cellular network design that interfere with standard protocols such as TCP, and suggests ways to improve performance.
Diagnostics for Canonical Correlation

Canonical correlation analysis is a versatile multivarite technique that is prone to distortion as a result of correlation outliers. The detection and treatment of such outliers is complicated by outlier masking effects. Methods that check the effect of one observation at a time are therefore unsuccessful as diagnostic tools. In this paper we suggest that an approach involving the robust estimation of correlation matrices be used for canonical correlation analysis, with the robustness weights used to identify outliers. We apply this approach to the full correlation matrix before performing a canonical correlation analysis, and then we apply this approach to the canonical variate scores after performing an initial canonical correlation analysis. Real and simulated examples suggest that, provided an appropriate weighting system is chose, the last approach produces the best performance in terms of detecting canonical correlation outliers and containing them.
Feedback control algorithm for optimal throughput in IEEE 802.11e EDCA networks

The EDCA protocol was designed to enhance the functionality of the IEEE 802.11 WLAN through the introduction of different channel access parameter values for different traffic types. This enables some degree of service guarantee for traffic depending on their QoS requirements. While the improved standard has recommended values for the channel accessing parameters, it does not take into account the dynamic nature of the WLAN and for optimal performance, the contention window (CW) value should be dynamic and vary with the number of contending stations on the WLAN. In this paper, we propose a feedback based control algorithm (FCA) that outputs contention window parameter with respect to number of active nodes on the WLAN. The controller can also be tuned based on network design requirements.
Text Detection, Extraction and Removal: A Survey

Text in video and images is an extremely valuable feature to extract brief knowledge of video or image. But sometimes those text components feel unnecessary, and so various methods have been proposed till a day to detect, and remove the text out of video. This paper performs an extensive survey of various techniques available for text detection and removal from video and images automatically to create visually plausible output like videos/images without any of the embedded text.
Visualization of Web Usage Patterns

We present a novel approach to visualize Web usage patterns by closely coupling the visual rendering process to the data mining technique. In the first step we use relational fuzzy subtractive clustering as the mining technique to perform fuzzy clustering on Web usage sessions. In the second step, we use conventional metric multidimensional scaling to obtain an initial positional configuration in 3D space for the cluster centers, and then apply a modified Sammon mapping technique to further optimize the 3D positions. In the last step, we use the dominant membership values to assign positions to all the other sessions in the given dataset. This is computationally very efficient and at the same time retains the fidelity of the interrelationships much better. We have developed a running prototype of the proposed approach and have demonstrated the utility through experiments using several datasets, including a fairly large Web usage dataset of about 100,000 log records
Humanitarian aid : an agile supply chain?

Purpose – The purpose of this article is to investigate the nature of the humanitarian aid supply chain and discuss the extent to which certain business supply chain concepts, particularly supply chain agility, are relevant to humanitarian aid. Design/methodology/approach – The paper identifies elements of good practice in conventional business supply chains and applies them to the humanitarian aid supply chain, making use of published practice-based literature and web sites associated with humanitarian aid. Particular emphasis is placed on the concept of “agility” in supply chain management. A model of an agile supply chain for humanitarian aid is developed. Findings – Humanitarian supply chains have similarities with business supply chains, but there are significant differences. Many humanitarian supply chains have a short and unstable existence with an inadequate link between emergency aid and longer-term developmental aid. Unlike many business supply chains, typical emergency aid appeals assign inventory to a particular destination at the supply chain source. Practical implications – This research note is a starting-point for empirical studies to test the agile humanitarian supply chain model. Originality/value – This paper seeks to integrate humanitarian aid practice with concepts in the academic supply chain literature. In particular, proposes that humanitarian donors need convincing of the value of supply chain processes.
Agent-Based Network Infrastructure for E-Communities

Virtual communities represent the gathering of people, in an online “space” where they come, communicate, connect, and get to know each other better over time. Virtual communities can be created for different purposes moving from the simple socialization among people to the collaboration among remote people working on shared projects. Virtual communities are usually managed through dedicated software systems, also called social software systems, providing the basilar members management services and a set of services specialized for the kind
Using scenarios in chronic disease management guidelines for primary care

The Prodigy system is a guideline-based decision-support system designed to assist general practitioners in England choose the appropriate therapeutic action for their patients. As part of the system, we developed a novel model for encoding clinical guidelines for managing patients with chronic diseases such as asthma and hypertension. The model structures a guideline as a set of choices to be made by the clinician. It models patient scenarios which drive decision making and are used to synchronize the management of a patient with guideline recommendations. The model is robust with respect to available input data and leaves the control of decision-making to the clinician. We have built execution engines to verify the computability of the model. We intend to test the model integrated in up to 200 live systems from at least four system vendors in English General practice.
A short-term graphomotor program for improving writing readiness skills of first-grade students.

OBJECTIVE Children with fine-motor problems and handwriting difficulties often are referred for occupational therapy. The objective of this study was to test the efficacy of a short-term treatment on the fine-motor and graphomotor skills of first-grade students. METHOD We recruited 52 first-grade students who had scored below the 21st percentile on the Visual-Motor Integration test from schools in a city with a low socioeconomic, mixed (Arab and Jewish) population. The children were randomly divided into an intervention group and a control group. Before and after the intervention, we administered two tests to both groups. RESULTS Students in the intervention group made significant gains both in the total score on the graphomotor test (Developmental Test of Visual Perception) and on the fine-motor test (Bruininks-Oseretsky Motor Development Scale). CONCLUSION This study provided preliminary evidence of the efficacy of a short-term graphomotor intervention. The results increased the feasibility of implementing occupational therapy intervention in the Israeli school system, allowing treatment of more children using the same resources.