Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study of Handgrip Strength in Rural and Urban School Going Children of Amritsar, Punjab.

Introduction: Handgrip strength is used as an indicator of total physical strength. The purpose of the study was to estimate the handgrip strength of rural and urban school going children of north India and to search the correlations of it with selected anthropometric variables. Methods: To serve this purpose, a total of eight anthropometric variables, viz. height, weight, body mass index, upper arm length, forearm length, total extremity length, upper arm circumference and humerus biepicondylar diameter were measured on randomly selected 454 healthy school going children (219 rural and 235 urban) aged 12–18 years collected from the one rural and one urban schools of Amritsar district, India during September, 2013 to March, 2014. Results: The results showed no significant differences of dominant and non-dominant handgrip strength between rural and urban girl students of Amritsar. Significant differences (p< 0.021) were found in nondominant handgrip strength between rural and urban boy students of Amritsar, showing higher mean value for the trait in the rural boy students. Both in rural and urban students, statistically significant positive correlations (p<0.01) of both dominant and non-dominant handgrip strength were found with all the variables studied, except BMI. Conclusion: The findings of the present study showed no significant differences of dominant handgrip strength between the rural and urban school-going adolescents of Amritsar. Both dominant and nondominant handgrip strength had significant positive correlation with all the variables studied, except BMI, both in case of rural and urban students.
In Response to the Letter to the Editors

Copyright © 2007 Sage Publications 127 Thanks for the contributions of Roberts et al for our report [1] about the efficacy of hemoperfusion on clinical status and mortality in acute organophosphate poisoning. Because the data regarding the role of hemoperfusion in the management of acute organophosphate poisoning are limited, the main aim of our study was to document our experience with this mortal condition. Roberts et al briefly summarize the problems about the role of hemoperfusion in the management of acute organophosphate poisoning. We are aware of these problems, including methodologic pitfalls in our study, and we mentioned most of them previously. Roberts et al are right in the plasma acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE, pseudocholinesterase, plasma cholinesterase or PChE; EC 3.1.1.8) issue. We thank them and editor of the Journal of Intensive Care Medicine for giving us the opportunity to correct this misunderstanding. We used the Wilcoxon signed rank-test in the analysis of BuChE levels in patients having severe poisoning (Table 2), and the value of P is . 004. As we previously mentioned [1], hemoperfusion is an effective treatment for removing drugs and substances with a small volume of distribution, and drugs with a molecular weight of less than 10,000 daltons; and the large volume of distribution of organophosphate limits the use of hemoperfusion. Many authors state that hemoperfusion is unnecessary in the management of severe organophosphate poisoning, and the results of previous studies are conflicting. Before beginning the use of hemoperfusion in the management of severe organophosphate poisoning in our unit, we observed beneficial effects of hemoperfusion in patients with multiagent poisoning, including organophosphates. Based on this observation, and approval of hemoperfusion by the Ministry of Health, we began to use hemoperfusion in the management of severe organophosphate poisoning. Although there are great improvements in intensive care management, severe organophosphate poisoning is still a mortal disease. We are aware of the methodologic problems with conducting a multicenter study of the role of hemoperfusion in the management of acute organophosphate poisoning, as indicated by Roberts et al; but only randomized controlled studies can clarify the indication of hemoperfusion in the management of severe organophosphate poisoning.
Investigations at Naukratis and Environs, 1980 and 1981

The Naukratis Project concerns work in the Western Nile Delta, in an area bounded by El-Barnugi in the north and Kom el-Hisn in the south. This area contains the ancient city of Naukratis (Kom Ge'if), which, according to Herodotos, was the first and only city in which the early Greek merchants were allowed to settle, as well as other sites with reported histories of occupation from Pharaonic through late Roman times. Unfortunately, little is known about these sites and their state of preservation. The Naukratis Project, therefore, involves: 1) a program of excavation at Naukratis backed by an inter-disciplinary support staff. The primary objectives are the establishment of a stratigraphic sequence against which the results of earlier excavations at the site can be evaluated, and the creation of a typology for the ceramic material; 2) a survey of all ancient sites in the environs of Naukratis in order to assess the character of the visible remains, the state of site preservation, and the extent of modern encroachment caused by cultivation and settlement.
Cost-sensitive incremental Classification under the MapReduce framework for Mining Imbalanced Massive Data Streams

Abstract Aiming at the limitation of incremental learning for the imbalanced massive data streams, this paper proposes the approach of the cost-sensitive incremental classification under the MapReduce framework for imbalanced massive data streams (CILCIDS). Firstly, this paper gives cost-sensitive concept drift detection for massive data stream under the MapReduce framework by counting the recession numbers of the pure and tolerance clusters. Secondly, we give Cost-sensitive SVM algorithm based on incremental learning. The new incremental samples can be divided into two parts, and only the samples against KKT conditions are used for the incremental learning. At last, the imbalanced massive data streams are divided under the MapReduce framework and are processed in parallel. The cost-sensitive incremental learning classification based on cloud computing platform is developed, and the weighted cost-sensitive ensemble classifier is constructed. The experiments show that the proposed incremental learning algorithm under the MapReduce framework is feasible and correct. CILCIDS has high performance by comparing to the other classification algorithms for imbalanced data streams, and can be effective to deal with unbalanced data stream with concept drift.
Multipath Routing for Redundancy Management inMobile Ad-hoc Networks

In this paper we propose redundancy management by utilizing multipath routing to answer user queries in the presence of unreliable and malicious nodes with hacker nodes for analysis. It encloses the redundancy management is to exploit the tradeoff between energy consumption and the gain in reliability, timeliness, and security. We formulate the tradeoff as an optimization problem for dynamically determining the best redundancy level to apply to multipath routing for intrusion tolerance so that the query response success probability is maximized while prolonging the useful lifetime. Although the ongoing trend is to adopt by the mobile ad hoc networks for commercial uses due to their certain unique properties, the main challenge is the vulnerability to security attacks. Unlike the conventional network, another feature of the open network as well as closed network environment where nodes can join and leave the network freely. To analyze the best redundancy level in terms of path redundancy and source redundancy.
A Novel Approach in Cloud Computing for Load Balancing Using Composite Algorithms

—Cloud computing is next generation of computing and a developing computing paradigm in the modern industry, either may be government organizations or the public organizations. In simple words we can say that Cloud Computing is set of different servers that cater to need of different clients based on their demands. Clouds have very powerful data centers to handle large number of user’s requests. Cloud platform provides dynamic pool of resources and virtualization. Load Balancing is required to properly manage the resources of the service contributor. Load balancing is a technique to distribute the workload among many virtual machines in a Server over the network to achieve optimal resource consumption, decrease in data processing time, decrease in average response time, and avoid overload. Through better load balancing in cloud, performance can be improved and better services are provided to user. Here in this paper we have discussed many different load balancing techniques used to solve the issue in cloud computing environment.
Lymphedema: Clinical Picture, Diagnosis and Management

Lymphedema is swelling due to excess accumulation of lymph in the tissues caused by inadequate lymph drainage (Mortimer, 2010). The protein-rich lymph accumulates in tissue when reabsorption is hindered or when the lymphatics are absent or blocked (Gaber, 2009). Lymphedema is most commonly seen on lower limbs (Figure 1), rarely on the upper limbs, and extremely rarely on the head or the trunk. The development of this process may take several years (Cohen et al, 2001).
Development of Crowd Monitoring and Informing System using Fog Computing Model

The concept of future hyper-connected city will include ubiquitous, frequent connections among people, objects, and our environment. In this sense, crowd information is re-interpreted as the level of interactions in which people communicate with physical devices at rooms and stores, and even on streets in various ways. Therefore, it becomes one of the most meaningful and dynamic data that our future data analysis technology will consume. In order to measure and inform crowd information to people, we propose to use an emerging fog computing model, instead of a conventional cloud. A fog moves portions of computing capability of the cloud down to the network edge and form a local computing environment. By distributing computing and networking services closer to where user data is generated, the fog best meet the emerging demands. We develop a testbed of fog computing architecture and implement a crowd monitoring service on top of it. Then, we deploy all the testbed on a public street and run experiments in a real world environment.
Die Auswirkung der Reihenfolge von Mess- und Simulationsdaten auf das Ergebnis der Kreuzvalidierung in KDD Prozessen

Die Wissensentdeckung in Datenbanken (engl. Knowledge Discovery in Databases; KDD) stellt einen rechnerunterstutzten Prozess dar, Wissen aus komplexen Daten zu extrahieren [2]. Durch den verstarkten Einsatz rechnerunterstutzter Methoden und Werkzeuge (z. B. FEM, MKS, CFD, usw.) in fruhen Phasen des Produktentwicklungsprozesses (PEP), steigt das Volumen an entwicklungsrelevanten Daten im PEP stetig an. Sowohl Messdaten als auch Simulationsergebnisse enthalten konstruktionsrelevantes Wissen, auf das der Produktentwickler ohne Rechnerunterstutzung nicht in vollem Umfang zugreifen kann. Hierdurch bleibt in der Entwicklung ein Potential unangetastet, das eigentlich beinahe kostenneutral zur Verfugung steht. In einer Zeit, in der Wissen zu einer der wichtigsten Produktionsfaktoren zahlt, kann dieses nicht ausgeschopfte Potential zu einem Wettbewerbsnachteil fuhren [5].
Task-Aware Priority Scheduling for Multicore Processors

Task scheduling is a key issue in multicore processors, especially for the multicore processor in parallel framework. However, few state-of-art task scheduling strategies solve these important issues simultaneously: assignment of task to CPU core, task types, task order and resource conflict of task. To the best of our knowledge, the schedule problem is more complicated in the node of parallel framework. To settle this problem, we propose a method of task-aware priority scheduling for multicore processors. First, we introduce our scheduling framework, including four modules: Kernel Scheduler, Resource Management, Synchronization, Node Coordinator. Then follow two key algorithms: Task-to-core assignment algorithm and Resource distribution algorithm. Finally, we show that our method obtains good performance in contrast with Work-stealing algorithm.
A representação coletiva dos bares e restaurantes “pé-na-areia” produzida pelo dispositivo TripAdvisor: o caso de Aracaju-Sergipe

In Aracaju, Brazil, beach bars are a major touristic attraction. In this article, reviews of beach bars published in TripAdvi- sor are considered as Collective Representations expressing a shared agreement about what it means to go to a bar on the beach sand. Two hundred reviews concerning the two best TripAdvisor ranked beach bars in Aracaju were manu- ally analysed. The resulting framework gives emphasis to be- ach bars’ food, service and structure and is also permeated by descriptions about the user’s experience and their general impression of the bar. Reviews regarding prices and the loca- tion are marginal. The least cited aspect concerning the beach bars were their surroundings, such as the sea and the beach, demonstrating a direct association with consumption in the bars, as well as a dissociation with the perception of an inte- raction with nature.
A fuzzy neural network for knowledge acquisition in complex time series

: A novel fuzzy neural uetwork, called FuNN, is ap plied here for time-series mocldliug. FttNN models have several fea tures that make them well suited to a wide range of kuowlcdge eu giueering applications. These strengths include fa::;t and accurate learning, good g;eneralisatiou capabilitic::;, excellent explauation fa cilities iu the form of sentantic:ally meauiugfnl fnzzy rnles, and the ability to accommodate both umnerical data awl cxi::;tiug t)xpert knowledge abont the problem nncler cousideratiou. 'vVc investigate the effectivenc::;s of the proposed ne1J:I"o-. fuzzy hybrid architectnres for mauipnlatiug the future bcbwionr of uoulitwar dymunical systems allC! interprctiug fnzzy if-thcu mlcs. A wcll-kuowu example of Dox awl J eukins is used as a bew:hmark time series iu tlJC proposed mod elliug; approach R-nd the other modelling; il.pproach. Finally, expcri meutal rest tl ts and comparisons with tlw other popnlar ncnro-fnzzy infereuce system, namely Adaptive Network-based Fuzzy Iufcreucc System (ANFIS) arc also presented.
Caracterización dasométrica y químico - micrográfica de tres especies de pino y su viabilidad de aprovechamiento integral

Se evaluaron tres especies de pino: Pinus douglasiana, Pinus devoniana y Pinus oocarpa , de una parcela ubicada en el bosque La primavera, Jalisco. Despues de realizar las mediciones dasometricas y establecer el balance de biomasa (madera, ramas, corteza y aciculas), las muestras de la madera del tronco se prepararon para su analisis quimico, de acuerdo a metodos TAPPI. Con respecto al estudio dasometrico y balance de biomasa dado aqui, se sugiere que la viabilidad de aprovechamiento de los pinos estudiados fue el siguiente: P. douglasiana con el mayor contenido en biomasa (45 %), puede ser aplicado en diversos productos madereros (muebles, estructuras y laminados); para aplicaciones de la corteza (fenoles y taninos) se recomienda a P. devoniana con el contenido mas alto en corteza (23 %), y para el caso de las aciculas (clorofila y esencias) se propone a P. oocarpa (22 %). Por otro lado, el efecto de la composicion quimica de la madera (holocelulosa 75.4 %, alfa celulosa 48.1 % y pentosanos 12.1 %) y de la morfologia fibrosa (largo de fibra de 3.5 a 4.0 mm) sobre las propiedades fisicomecanicas en hojas de papel estandar, fue significativamente mejor en P. devoniana , lo cual la sugiere como la mas viable para la obtencion de pulpa y fabricacion de papel Kraft.
Control of bone formation by osteocytes? lessons from the rare skeletal disorders sclerosteosis and van Buchem disease

In the adult, bone homeostasis is maintained by a tight balance between the supply, activity, and life span of osteoclasts and osteoblasts within the basic multicellular unit (BMU), a temporary anatomic structure within which bone remodeling occurs. Hormones, cytokines, and mechanical factors are known to control this balance. The exact role of osteocytes, the most abundant cell type in bone, remains unclear. Osteocytes are thought to be mechanosensor cells that control the activity of osteoblasts and osteoclasts within a BMU. Marotti and Martin suggested that osteocytes produce an inhibitory factor that signals to osteoblasts at a bone forming surface, causing them to slow down osteoid formation (1;2), but direct evidence for this is lacking. Recent data obtained from detailed analysis of the two closely related, rare skeletal disorders sclerosteosis and van Buchem disease demonstrated that osteocytes indeed produce a negative regulator of bone formation (3;4).
Access Measures Do Not Reflect Actual Access in Urology Clinics

Introduction: Improvement in new patient access to urologic care is important and is increasingly measured as a reflection of practice quality. Two broad categories affect patient access: provider issues and patient preferences. We chose to study the previously unreported patient choices that affect access delays between the time a urology appointment is requested and the urology appointment itself. Methods: A 3-week real time telephone survey was conducted with callers seeking a urology appointment. If the callers did not choose the first available appointment, they were questioned as to why they did not. This data was then compared to a 3-month access delay graph noting the number of new patients offered each day. Results: Adult and pediatric urologic clinics were evaluated separately. For adult clinics, 14% of patients chose not to accept the first available appointments and 5% sought urologic care elsewhere. For pediatric clinics, 44% delayed access beyond the first available appointment. Of these, 26% were asked by the physician to delay in order to time appointments with imaging studies on the same day, or were advised to wait longer because of the nature of the patient’s diagnosis. Parents’ choice delayed 18% of the appointments beyond the first available appointment. Discussion: These data reveal that about 85% of new patient access falls within the provider’s control. The other 15% of delays rest on the preferences of the patients. These decisions significantly skew the access delay data that is increasingly being used to measure the quality of a urology practice.
Evaluation of Machine Learning Techniques for C&C Traffic Classification

With the spread of Internet, the number of damage from botnet is increasing. General botnet use Command and Control (C&C) server and detecting C&C server is one of the technique of botnet measures. However, it is hard to detect C&C server because of diversification of C&C protocol and changing of botnet configuration. In our work, we define a feature vector to detect C&C server and report the experiment result that is classification normal traffic and C&C session by using real network traffic. Finally we show the effectiveness as the method of detecting C&C server which use several kinds of protocols.
Measuring mental health provider stigma: The development of a valid and reliable self-assessment instrument

MEASURING MENTAL HEALTH PROVIDER STIGMA: THE DEVELOPMENT OF A VALID AND RELIABLE SELF-ASSESSMENT INSTRUMENT By Jennifer L.K. Charles, MSW, Ph.D. Candidate A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy at Virginia Commonwealth University. Virginia Commonwealth University, 2015 Major Directors: Kia J. Bentley, Ph.D., LCSW, Professor, School of Social Work and Patrick V. Dattalo, Ph.D., Professor, School of Social Work Provider-based stigma is defined as the negative attitudes, beliefs, and behaviors of mental health providers toward clients they serve. Often unintentional and unknowingly conveyed, this phenomenon has been indicated in previous research (e.g. Lauber, Nordt, Braunschweig, & Rössler, 2006; Nordt, Rössler, & Lauber, 2006; Hugo, 2001; Schulze, 2007). Other instruments crafted to measure provider stigma have utilized theory in their development, without incorporating the voice of the client (e.g. Wilkins & Abell, 2010; Kennedy, Abell, & Mennicke 2014). To better address the social injustice posed by provider stigma, the profession requires a valid and reliable measure, guided by theory, which also reflects the client and family experience. This study attempts to do so, referencing the five themes of the experience-based model (Charles, 2013) to guide item development. These themes include: blame & shame; disinterest, annoyance, and/or irritation; degradation & dehumanization; poor prognosis/fostering dependence; coercion/lack of ‘real’ choice. The measure’s item pool was generated following Nunnally and Bernstein’s (1994) domain sampling method, in reflection of the experience-based model, and reviewed by a series of focus groups. The electronically hosted survey was distributed to a purposive sample of mental health service providers employed at Virginia’s public mental health agencies. Using a final sample of N = 220, factor analysis indicated a four factor solution, accounting for 32.454% of the items’ variance. Refinement resulted in a scale of 20-items demonstrating adequate internal consistency, measured by Cronbach’s alpha = 0.817. The four factors of the Mental Health Provider Self-Assessment of Stigma Scale (MHPSASS) were labeled: Irritation & Impatience (eight items); Choice & Capacity (five items); Adherence & Dependence (four items); Devalue & Depersonalize (three items). Hypothesized relationships were found between provider selfrating of burnout and MHPSASS score (Pearson’s r = 0.235, p = 0.001) as well as social desirability level and MHPSASS score (r = -0.169, p = 0.015), supporting the MHPSASS’ construct validity. As a measure of provider-based stigma, the MHPSASS displays adequate reliability and validity. Future studies are indicated, including replication. Limitations include agency response rate, unknowable individual level-response rate, social desirability, and the potentially burdensome length of the survey package.
Indian Perspectives on Treating Substance Use Disorders

ABSTRACT Although research on substance use disorders (SUDs) largely focuses on the developed world, treatment programs from the developing world seldom get international attention. Focusing on India, this study was designed (1) to describe India’s treatment programs, and (2) to report Indian perspectives on critical factors related to treating SUDs. An online survey instrument was created, based on mixed-methods approach with concurrent strategies, to collect data. Participants were India’s clinicians (N = 112). Indian treatment approach suggests that SUDs must be treated by a multidisciplinary treatment team with a comprehensive plan that must include systemically focused clinical interventions in patients’/clients’ relevant relational systems. Findings may have relevance to clinicians, researchers, and policy makers globally.
Sample sizes for system availability

This paper presents a methodology for determining sample sizes for system availability under the assumption that the time between failures and the times to repair are independently and exponentially distributed. For specified "x-nines" availability and confidence levels, a table for sample sizes is generated for different failed and repair events. In order to demonstrate five nines or higher availability at a given confidence, the sensitivity in sample sizes in the tails of the distribution is explored. The proposed method is also utilized to compute the confidence interval estimates for higher nines of availability. For easy use, spread sheets are created in EXCEL and Staroffice to determine the sample size for any combination of higher availability and confidence level.