Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluating Teat Skin Condition in Response to Phenoxyethanol as a Post-Milking Teat Disinfectant on Lactating Dairy Cows

Mastitis is a mammary infection caused by the passage of pathogens into the mammary gland. Deteriorations in teat health are shown to be related to this type of infection [1]. Rough or cracked teats allow mastitis pathogens to colonize the udder. Roughness and cracking of the teat is related to hyperkeratosis, the condition of teat end callosity. Rough or cracked teats allow mastitis pathogens to colonize the udder causing hyperkeratotic teat end lesions that are related to increases in the risk of intramammary infections and mastitis [2,3]. Causes that contribute to poor teat condition and hyperkeratosis include: harsh weather conditions, milking machine factors, and poor milking management [4]. In cold and harsh weather environments, teat skin can suffer from deterioration causing teat skin chapping and increased mastitis frequency [5]. A mixture of cold temperatures, weather exposure, and residual milk on teat ends can lead to teat end freezing [6]. In contrast, hot and humid climates increase infection rate, due to high environmental moisture levels [7]. Increases in environmental mastitis-causing pathogens may occur during the hot and moist summer months [8]. Milking management practices can also affect teat health. Poor milking machine maintenance such as uneven pulsation or high vacuum pressure can reduce overall teat health [9]. Following milking, teat discoloration, overall firmness, and ring thickening near teat ends are all issues associated with improper use of teat cup liners in combination with overmilking [9]. Failure to regularly sanitize teat cups and replace milking filters, are major setbacks that may lead to poor teat health [10]. One way to prevent poor teat health and high levels of hyperkeratosis is by using post-milking antiseptic solutions [4]. The inclusion of an emollient can help reduce roughness of the teat end caused by harsh active chemical ingredients with low pH values, such as iodine, used in teat disinfectants [4]. Using these disinfectants along with effective milking management practices could greatly reduce intramammary infection incidence [11]. The objective of this study was to show that a post-dip, containing the active ingredient phenoxyethanol with 5% emollient would not have a different effect on teat end condition, teat skin chapping, teat skin dryness, and teat skin color when compared to a commonly used iodine based teat dip. Phenoxyethanol has some mild hazardous properties when used alone causing some concern, however this Volume 6 Issue 2 2017
TCP/IP Implementation of Hadoop Acceleration

Cloud Computing is a booming technology in computer science. Since Google released the design details of the MapReduce technique in 2004 [1], cloud computing has been more and more popular. Hadoop [2] has been developed as an open-source implementation of MapReduce. A new network-levitated merge mechanism (Hadoop-A) [3] improves the existing Hadoop framework to solve many problems in the original framework. Hadoop-A avoids repetitive merging of data and introduces a full pipeline that consists of shuffle, merge and reduce phases. However, Hadoop-A is implemented based on Infiniband RDMA technology, which is not commonly deployed on commercial servers. On the other hand, data transmission based on the TCP/IP protocol is a robust technology, its speed is becoming faster and faster. Thus, we deem that it worthwhile to complement our RDMA-based connection with an implementation that is built on TCP/IP protocol. In this article, I will describe the details of design and implementation of a TCP/IP implementation of Hadoop-A. Two components MOFSupplier (Server) and NetMerger (Client) are introduced to realize the TCP/IP connection, which can fetch data from Maptasks and send them to Reducetasks within the new network-levitated merge mechanism. Multithreading technologies are used to manage memory pool, send/receive and merge data segments. The experiment results show that the TCP/IP implementation can bring good performance for Hadoop-A on TCP/IP. Its execution time outperforms original Hadoop by 26.7% and can also achieve good scalability.
Distributed space time block coding and application in cooperative cognitive relay networks

The design and analysis of various distributed space time block coding schemes for cooperative relay networks is considered in this thesis. Rayleigh frequency flat and selective fading channels are assumed to model the links in the networks, and interference suppression techniques together with an orthogonal frequency division multiplexing (OFDM) type transmission approach are employed to mitigate synchronization errors at the destination node induced by the different delays through the relay nodes. Closed-loop space time block coding is first considered in the context of decode-and-forward (regenerative) networks. In particular, quasi orthogonal and extended orthogonal coding techniques are employed for transmission from four relay nodes and parallel interference cancellation detection is exploited to mitigate synchronization errors. Availability of a direct link between the source and destination nodes is studied. Outer coding is then added to gain further improvement in end-to-end performance and amplify-and-forward (non regenerative) type networks together with distributed space time coding are considered to reduce relay node complexity. A novel detection scheme is then proposed for decode-and-forward and amplify-and-forward networks with closed-loop extended orthogonal coding and closed-loop quasi-orthogonal coding which reduce the computational complexity of the parallel interference cancellation. The near-optimum detector is presented for relay nodes with single or dual antennas. End-to-end bit error rate simulations confirm the potential of the approach and its ability to mitigate synchronization errors.
Hierarchical Phrase-Based Translation with Weighted Finite State Transducers

This paper describes a lattice-based decoder for hierarchical phrase-based translation. The decoder is implemented with standard WFST operations as an alternative to the well-known cube pruning procedure. We find that the use of WFSTs rather than k-best lists requires less pruning in translation search, resulting in fewer search errors, direct generation of translation lattices in the target language, better parameter optimization, and improved translation performance when rescoring with long-span language models and MBR decoding. We report translation experiments for the Arabic-to-English and Chinese-to-English NIST translation tasks and contrast the WFST-based hierarchical decoder with hierarchical translation under cube pruning.
Options for end-stage liver cancer: A fresh approach

Minimally invasive loco-regional procedures, in which local efficacy is maximised, and in the same time systemic toxicity is minimised, are often used in the curative or palliative treatment of HCC; different types of approaches are indicated for the different stages of the disease, and most are included in the current guidelines (EORTC Clinical Practice Guidelines, American Association for the Study of Liver Diseases, European Society for Medical Oncology, Barcelona Clinic for Liver Cancer) for early or intermediate stage disease.
False Positives Reduction in Intrusion Detection Systems Using Alert Correlation and Data mining Techniques

During the last years and with the growth of the cyber-attacks, the information safety has become an essential element. Therefore we must find the best ways to protect our IT system from these attacks. Researchers have proposed different methods and algorithms to improve intrusion detection systems (IDS). There are different types of these systems and all of them are suffering from a common problem which is generating an important number of alerts and huge volume of false positives. This disadvantage has become the main motivation for many researchers in IDS area. The aim of conducted research in this field is to propose different techniques to handle the alerts, to reduce them and distinguish real attacks from false positives and low importance events. This paper is a survey that represents a review of the current research related to the false positives problem. The focus will be on alert correlation and data mining techniques to reduce false positives.
Pilot Study Evaluating Physical Activity and Fatigue in Adolescent Oncology Patients and Survivors During Summer Camp.

Summer camps for adolescent cancer patients and survivors are popular. Little is known about the impact of camp attendance on physical activity (PA) and fatigue. This pilot study was conducted in 24 adolescents, 13–17 years of age, to measure objective PA (steps/day) along with self-reported PA and fatigue during camp. Findings demonstrate adolescents are willing to complete a PA research study during camp. On average, campers demonstrated 18,198 steps/day. Self-reported PA significantly increased with no significant change in self-reported fatigue. Summer camps offer a unique setting, in which to encourage and explore PA in adolescent oncology patients and survivors.
Development of Software System for State Machine Generation Using Genetic Algorithms

Abstract—As a part of research works [1], [2], the developmentof a software system for state machine generation using geneticalgorithms [3] is being done. This software system increaseslevel of automation for designing state machine programs. Itwas named GAAP (Genetic Algorithms for Automata-basedProgramming). I. I NTRODUCTION For now many genetic algorithms realizations have beenoffered, and also genetic operators and chromosome repre-sentations [1]. Many of the existing genetic algorithms areonly theoretical evidence which is not supported by anysoftware solutions. Others ones are proved on test problemsbut hard to be applied for solving practical tasks due to lackof corresponding software systems ﬂexibility. II. E XISTING SYSTEMS LIMITATIONS AND REQUIREMENTSFOR NEW ONES There are several common limitations of existing softwaresystems implementing genetic algorithms:1) Developed software system is strictly binded to a spe-ciﬁc problem at point of individual representation.2) Software implementation is done from scratch.3) Software system is restricted to modiﬁcation and inte-gration with other software (particularly closed-source). 4) Search result and intermediate population states cannotbe saved and therefore analyzed in future.As proved in NFL (No Free Lunch) theorem [4], allextremum search algorithms save the same efﬁciency averagedfor all possible ﬁtness functions. Practical meaning of thistheorem is there is no silver bullet and that absolute success ofone optimization method in one ﬁeld does not guarantee suchsuccess in other ﬁeld. This indicates that for every speciﬁc ﬁeldadditional research is needed to ﬁnd most suitable optimizationmethod. All this implies following characteristics of softwaresystems based on genetic algorithms:1) Fitness function is built for each optimization task upona speciﬁc problem [1, sec. 2.3 and 2.4]. Hence softwaresystem should allow usage of different ﬁtness function.
Molecular Characterization of Streptococcus pyogenes Isolated from Children with Pharyngitis

Submit Manuscript | http://medcraveonline.com [1]. Streptococcal pharyngitis is most significant disease, and its peak incidence occurs in children, these infections impose the economic burden on the society [2]. The symptoms of streptococcal pharyngitis include a sore throat, pain in swallowing, fever, swollen, and tender lymph nodes in the neck and fatigue [3]. S. pharyngitis oftenly results from direct contact with another person with streptococcal pharyngitis [4]. Asymptomatic carriers can play a role in transmission, particularly during outbreaks. S. pyogen contact large number of virulence factor that’s contributing to its pathogenicity, important virulence factor [5], encoded by emm gene are superantigen protein, and M protein is an important virulence factor of s. pyogenes [6]. superantigens are a potent immune stimulatory activity that contributes to the pathogenesis of Streptococcus pyogens. The gene distribution of sAgs has used as an epidemiologic tool to explore genomic heterogeneity and the possible correlation between super antigen gene content and clinical manifestation [7].
Delirium, frailty and mortality: interactions in a prospective study of hospitalized older people

Background It is unknown if the association between delirium and mortality is consistent for individuals across the whole range of health states. A bimodal relationship has been proposed, where delirium is particularly adverse for those with underlying frailty, but may have a smaller effect (perhaps even protective) if it is an early indicator of acute illness in fitter people. We investigated the impact of delirium on mortality in a cohort simultaneously evaluated for frailty. Methods We undertook an exploratory analysis of a cohort of consecutive acute medical admissions aged ≥70. Delirium on admission was ascertained by psychiatrists. A Frailty Index (FI) was derived according to a standard approach. Deaths were notified from linked national mortality statistics. Cox regression was used to estimate associations between delirium, frailty and their interactions on mortality. Results The sample consisted of 710 individuals. Both delirium and frailty were independently associated with increased mortality rates (delirium: HR 2.4, 95%CI 1.8-3.3, p<0.01; frailty (per SD): HR 3.5, 95%CI 1.2-9.9, p=0.02). Estimating the effect of delirium in tertiles of FI, mortality was greatest in the lowest tertile: tertile 1 HR 3.4 (95%CI 2.1-5.6); tertile 2 HR 2.7 (95%CI 1.5-4.6); tertile 3 HR 1.9 (95% CI 1.2-3.0). Conclusion While delirium and frailty contribute to mortality, the overall impact of delirium on admission appears to be greater at lower levels of frailty. In contrast to the hypothesis that there is a bimodal distribution for mortality, delirium appears to be particularly adverse when precipitated in fitter individuals.
Relationship between health literacy and prenatal care in young pregnant women

Background and objective: Health literacy is as one of the determinant of social ofn pregnant womenrs health. That affects the use of services and information of prenatal care. The aim of study was to determine the relationship between health literacy and prenatal care in young pregnant women. Methods: This descriptive- analytical study was carried out cross sectional in 2016. Research population, consisted of all Pregnant young women referring to urban health centers of Balochistan, 215 pregnant young women were selected according to a stratified sampling basis. Questionnaires Health Literacy for Iranian Adults (HELIA) and prenatal care was applied for data collection. Data were analyzed using descriptive statistics and Chi square test through SPSS19. Results: The mean age of pregnant women was 22.8 p 7.79 years. The mean score of maternal health literacy was 67.69 p 12.52 out of 100. 21.66 of studied women had insufficient health literacy, 26.04 not enough health literacy, 36.27 adequate health literacy and 15.81 high health literacy. There was a significant relationship between health literacy and taking iron tablet, multivitamin, and folic acid, diet, brushing and using dental floss (PE�0.05). Health literacy was not statistically significant with walking (P = 0.86). Conclusion: There is a significant relationship between maternal health literacy with prenatal care that shows the necessity of more attention to maternal health literacy in health promotion programs. Paper Type: Research Article.
POEMS-end to end performance models for dynamic parallel and distributed systems

The goal of the Performance Oriented End-to-end Modeling System (POEMS) project is to create and experimentally evaluate a problem solving environment for end-to-end performance modeling of complex parallel/distributed systems, spanning application software, runtime and operating system software, and hardware architecture. The motivation for POEMS is that determining the end-to-end performance of large-scale computational systems across all stages of design enables more effective development of these complex software-hardware systems. POEMS, to the extent that we are successful, will enable a new generation of performance modeling technology. Multi-scale models allow different components of a system to be modeled at varying levels of detail via the use of associative-object-based module interfaces. Multi-domain models integrate components from three different semantic domains, namely application software, runtime/OS software, and hardware. Multi-paradigm models allow an analyst to use the model evaluation paradigm-analytical, simulation, or the software or hardware system itself-that is most appropriate for the goals of the performance study.
Optimizing Classroom Instruction through Online Instructional Delivery Technique

This study presents the pedagogical advantages of online instructional delivery technique in optimizing classroom instruction. Using the One Group Pretest-Posttest Design of the Pre-experimental Designs to 43 senior Bachelor of Elementary Education students, the following are forwarded: the respondents were social butterflies; the respondents were generally satisfied with the integrated online learning sessions in their classroom activities; all of the respondents vouched that the embedded online learning tools in their classroom learning were very advantageous; students’ successes in using online learning tools were found dependent to their indulgence and prior experiences in online learning; and much of the respondents said that they benefited from their online learning experiences.
Knowledgemap, an Automated Classification of Research Areas in a Scientific Discipline

In this document, we describe the concept and use of KnowledgeMap, an interactive visualization and classification tool for exploring communities of research in a scientific discipline. We define an aggregated measure of association between documents, based on their text, their references, and how they are cited by other documents. This aggregated measure is then used to develop a document classification algorithm and a web-based interactive visualization tool. We demonstrate the application of the algorithm and the tool for the Information Systems (IS) discipline by analyzing all publications in top IS journals during the last ten years. The KnowledgeMap tool will benefit IS researchers and practitioners alike by providing a holistic view of the field, identifying active and emergent areas of research, and facilitating the process of finding relevant publications in top IS journals.
Genericity through Constrained Types

Modern object-oriented languages such as X10 require a rich framework for types capable of expressing valuedependency, type-dependency and supporting pluggable, application-specific extensions. In earlier work, we presented the framework of constrained types for concurrent, object-oriented languages, parametrized by an underlying constraint system C. Constraint systems are a very expressive framework for partial information. Types are viewed as formulas C{c} where C is the name of a class or an interface and c is a constraint in C on the immutable instance state of C (the properties). Many (value-)dependent type systems for object-oriented languages can be viewed as constrained types. This paper extends the constrained types approach to handle type-dependency (“genericity”). The key idea is to extend the constraint system to include predicates over types such as X is a subtype of T. Generic types are supported by introducing parameters and properties that range over types and permitting the user program to impose constraints on such variables. Type-valued properties are required to have a run-time representation—the run-time semantics is not defined through erasure. Run-time casts are permitted through dynamic code generation. To illustrate the underlying theory, we develop a formal family FX(C) of programming languages with a common set of sound type-checking rules. By varying C and extending the type system, we obtain languages with the power of FJ, FGJ, dependent types, and new object-oriented languages that uniformly support value- and type-dependency. Concretely, we illustrate with the design and implementation of the type system for X10. The type system integrates and extends the features of nominal types, virtual types, and path-dependent types.
Modeling the opioid epidemic

Opioid addiction has become a global epidemic and a national health crisis in recent years, with the number of opioid overdose fatalities steadily increasing since the 1990s. In contrast to the dynamics of a typical illicit drug or disease epidemic, opioid addiction has its roots in legal, prescription medication a fact which greatly increases the exposed population and provides additional drug accessibility for addicts. In this paper, we present an epidemic model for opioid prescription, addiction, and treatment. Through mathematical analysis of our model, we show that no addiction-free equilibrium exists without stringent control over how opioids are administered and prescribed, effectively transforming the dynamics of the opioid crisis into those of a classic, illicit drug epidemic. Numerical sensitivity analysis suggests that relatively low states of endemic addiction can also be obtained by focusing primarily on medical prevention, followed by aggressive treatment of remaining cases even when the probability of relapse remains high. Further empirical study focused on understanding the rate of illicit drug dependence verses overdose risk, along with the current and changing rates of opioid prescription and treatment, would shed significant light on optimal control efforts and feasible outcomes for this epidemic and drug epidemics in general. N.A. Battista Dept. of Mathematics and Statistics, The College of New Jersey, 2000 Pennington Road, Ewing, NJ 08628 E-mail: battistn@tcnj.edu L.B. Pearcy Dept. of Mathematics, University of North Carolina at Chapel Hill, CB 3250, University of North Carolina, Chapel Hill, NC, 27599 E-mail: leighbp@live.unc. edu W.C. Strickland Dept. of Mathematics, University of Tennessee at Knoxville, 1403 Circle Drive, Knoxville TN, 37996 E-mail: cstric12@utk.edu ar X iv :1 71 1. 03 65 8v 1 [ qbi o. PE ] 1 0 N ov 2 01 7 2 Nicholas A. Battista et al.
A Varactor-Less and Dither-Less LC-Digitally Controlled Oscillator with 9-bit Fine Bank, 0.26 mm 2 Area, and 6.7 kHz Frequency Resolution

We present a compact LC-digitally controlled oscillator (DCO). Its coarse and fine capacitor banks are both implemented using switched metal-oxide-metal capacitors, instead of varactors. We propose an architecture achieving high resolution without introducing ΔΣ-dithering noise, and a layout pattern minimizing the area. Fabricated in 65 nm CMOS, the DCO with 9-bit fine bank achieves 6.7 kHz frequency resolution, and occupies 0.26 mm area. The measured phase noise at 3.3 GHz is -120.7 dBc/Hz@1MHz. The power consumption is 4.8 mW with 1.2 V power supply.
Extracting line features from images of business forms and tables

Business forms and tables are special document classes typically used to collect or distribute data; they are characterized by the presence of horizontal and vertical lines that delimit the usable space. The paper describes an algorithm that identifies these lines in binary digital images. This algorithm can be used to separate text from graphics before applying optical character recognition, or as a feature extractor in a form classification system. The approach presented differs from exiting vectorization, line extraction, and text-graphics separation methods, in that it focuses exclusively on the recognition of horizontal and vertical lines. <<ETX>>