200,391 research outputs found
Reproductive Performance And Economic Efficiency Of Finn And Rahmani Ewes And Their Crosses
No full textABSTRACT: One hundred and fifty Finn (F) and Rahmani (R) ewes and their crosses including 10 F, 60 R, 50 1/4F 3/4R, 20 1/2F 1/2R and 10 3/4F 1/4R were allotted to fed traditional forage diet (D1) contained concentrate mixture + wheat straw plus fresh berseem, (winter diet) or plus berseem hay and green sorghum (summer diet) or agricultural by-product diet (D2) contained concentrate mixture plus fresh berseem, fresh sugar beet tops or green reed plants (winter diet) or plus dried sugar beet tops or green or dried reed plants (summer diet). Results showed that 81% of ewes were mating during the period from April to August reaching the maximum in July. However, 83% of ewes were lambing from October to April reaching maximum in December. The fertility expressed as ewe lambing per ewe exposed (EL/EE) was higher in crossbred that pure Finn and Rahmani ewes and increased with increasing Rahmani blood. The number of lamb born and weaned per ewe exposed (LB/EE and LW/EE) was higher in the first ewes crossbred of 1/2F 1/2R than the pure breeds and other crosses. Pure Finn recorded the highest number of lamb born and weaned per ewe lambing (LB/EL and LW/EL), lambing ewe per year (EL/Y) and lamb born and weaned per lambing ewe per year (LB/EL/Y and LW/EL/Y), but Rahmani had the lowest values and increased in crossbred ewes with increasing Finn blood. Pure Rahmani breed showed the lowes
سالمندی و آیندهی فراروی
No full textDOI: https://doi.org/10.22037/jrrh.v4i2.20233
The population of the elderly in Iran already is 8 million and is rapidly increasing. Aging is a phenomenon with cultural, social, political, economic and religious dimensions. This phenomenon can be studied from various viewpoints, some of which are discussed here.
Please cite this article as: Rahmani Zarvandi M, Aging and the future ahead. J Res Relig Health. 2018; 4(2): 1- 6. DOI: https://doi.org/10.22037/jrrh.v4i2.20233شمار سالمندان در جامعهی کنونی ایران، با جمعیت هشت میلیونی بهسرعت رو به افزایش است؛ سالمندی پدیدهیی با ابعاد پیچیدهی فرهنگی، اجتماعی، سیاسی، اقتصادی و مذهبی است و از جنبههای مختلفی قابل توجه است، که به برخی از آنها اشاره میشود
استناد مقاله به این صورت است:
Please cite this article as: Rahmani Zarvandi M, Aging and the future ahead. J Res Relig Health. 2018; 4(2): 1- 6. DOI: https://doi.org/10.22037/jrrh.v4i2.2023
Pelaksanaan Fungsi Pengawasan terhadap Efektifitas Penyaluran Dana Bantuan Operasional Sekolah di SMK Rahmani Kecamatan Lembo Kabupaten Morowali Utara
No full textTujuan penelitian ini ialah untuk mengetahui Pelaksanaan Fungsi Pengawasan Terhadap Efektifitas Penyaluran Dana Bantuan Operasional Sekolah di SMK Rahmani Kecamatan Lembo Kabupaten Morowali Utara. dan Untuk mengetahui Faktor- faktor yang mempengaruhi Pelaksanaan Fungsi Pengawasan Terhadap Efektifitas Penyaluran Dana Bantuan Operasional Sekolah di SMK Rahmani Kecamatan Lembo Kabupaten Morowali Utara. Penelitian ini dilaksanakan di SMK Rahmani Kecamatan Lembo Kabupaten Morowali Utara. Data yang digunakan dalam penelitian ini adalah data primer dan data sekunder. Data di Analisis secara kualitatif yaitu mendeskripsikan ciri-ciri atau karakteristik variabel-variabel. Hasil penelitian menunjukan bahwa pelaksanaan fungsi pengawasan dalam penyaluran dana BOS di SMK Rahmani Kecamatan Lembo Kabupaten Morowali Utara bahwa dari indikator yang telah ditetapkan pada dasarnya pelaksanaan fungsi pengawasan telah menunjukan hasil yang baik tetapi indikator tentang ketepatan waktu dan tepat sasaran masih menunjukan hasil yang kurang baik. Faktor yang mempengaruhi terhadap fungsi pengawasan terhadap penyaluran dana BOS di SMK Rahmani Kecamatan Lembo Kabupaten Morowali Utara antara lain lembaga pengawas, sosialisasi pedoman dan disiplin. Adapun saran yang dapat penulis berikan adalah Untuk memaksimalkan pengawasan hendaknya pengawasan terhadap penyaluran dana BOS dilaksanakan secara kontinyu. Hal ini dimaksudkan untuk memaksimalkan ketepatan sasaran dan pengunaan dalam pengunaan dana BOS. Dalam upaya meningkatkan pengawasan dalam penyaluran dana BOS hendaknya koordinasi dengan Dinas Pendidikan Kabupaten Morowali Utara
Crystal and molecular structure of bis(5,7-dimethyl-[1,2,4]triazololium-N3-[1,5-a]pyrimidine) hexachlorostannate: [Hdmtp]2[SnCl6]
No full textJ. M. Salas, A. Rahmani, M. A. Romero, A. D. Rae, A. C. Willis and E. R. T. Tiekin
SPO: A Secure and Performance-aware Optimization for MapReduce Scheduling
No full textMapReduce is a common framework that effectively processes multi-petabyte data in a distributed manner. Therefore, MapReduce is widely used in heterogeneous environments, such as cloud, to provide performance adequate for system needs. Despite the MapReduce benefits, tweaking the system configuration to achieve the maximum performance is still challenging and needs deep expertise. Besides, some new MapReduce security issues, which has not been well-addressed yet, are recently raised. In this paper, we present a performance-aware and secure framework, named SPO, to minimize the makespan of the tasks while considering task security constraints. Inspired by the HEFT algorithm, first, we introduce SPO, which proposes a two-stage static scheduler in Map and Reduce phases, respectively, to minimize makespan while considering network traffic. Plus, SPO∗ introduces a mathematical optimization model of the proposed scheduler aiming to estimate the system performance while considering security constraints with an error of less than 2%. The experimental results demonstrate that SPO outperforms Hadoop-stock in terms of makespan and network traffic by 29% and 31%, respectively, for the tasks running in heterogeneous environments
MapReduce: an infrastructure review and research insights
No full textIn the current decade, doing the search on massive data to find “hidden” and valuable information within it is growing. This search can result in heavy processing on considerable data, leading to the development of solutions to process such huge information based on distributed and parallel processing. Among all the parallel programming models, one that gains a lot of popularity is MapReduce. The goal of this paper is to survey researches conducted on the MapReduce framework in the context of its open-source implementation, Hadoop, in order to summarize and report the wide topic area at the infrastructure level. We managed to do a systematic review based on the prevalent topics dealing with MapReduce in seven areas: (1) performance; (2) job/task scheduling; (3) load balancing; (4) resource provisioning; (5) fault tolerance in terms of availability and reliability; (6) security; and (7) energy efficiency. We run our study by doing a quantitative and qualitative evaluation of the research publications’ trend which is published between January 1, 2014, and November 1, 2017. Since the MapReduce is a challenge-prone area for researchers who fall off to work and extend with, this work is a useful guideline for getting feedback and starting research
POSTER: An intelligent framework to parallelize hadoop phases
No full textHadoop-stock is a reliable, scalable, and open source implementation of the MapReduce framework to process data-intensive applications in a distributed and parallel environment. In a common environment between multiple users with various types of applications, due to the lower number of resources than the number of jobs, there will be multi-wave jobs. Shuffling as the longest phase of running a job has the most adverse effect (network traffic) on the job execution time. On one hand, due to the dependency of shuffle phase to reduce task, the shuffle phase could not start until the reduce task being scheduled. On the other hand, the static scheduling of reduce tasks results in loss of reduce slots. This paper presents our ongoing effort in the designing an intelligent service in which the sort/merge and shuffle phases are completely independent of map and reduce phases and could act in parallel with map and reduce phases. This parallelism mitigates the job completion time
Mobile Health Technology: From Daily Care and Pandemics to their Energy Consumption and Environmental Impact
No full textMobile health technology is a rapidly growing field with numerous promises to make substantial impact in our lives. To open this special issue, which brings to you many exciting research results in mobile health technology, we discuss two important aspects of this technology. One is how they can be integrated in our daily lives as important care devices, especially during periods such as the more and more frequent pandemics around the world. Having discussed their advantages, we calculate their estimated footprint in the energy consumption and dioxide carbon they produce globally. With that we raise awareness and invite researchers to work on reducing their energy consumption to ensure that they maintain a low footprint even if their numbers explodes in the near future. We finish this article with a brief teaser of the papers published in this special issue and wish you a good read
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems
No full textRecently, there has been a rising awareness that when machine
learning (ML) algorithms are used to automate choices, they may
treat/affect individuals unfairly, with legal, ethical, or economic
consequences. Recommender systems are prominent examples of
such ML systems that assist users in making high-stakes judgments.
A common trend in the previous literature research on fairness
in recommender systems is that the majority of works treat user
and item fairness concerns separately, ignoring the fact that recommender systems operate in a two-sided marketplace. In this
work, we present an optimization-based re-ranking approach that
seamlessly integrates fairness constraints from both the consumer
and producer-side in a joint objective framework. We demonstrate
through large-scale experiments on 8 datasets that our proposed
method is capable of improving both consumer and producer fairness without reducing overall recommendation quality, demonstrating the role algorithms may play in minimizing data biases
Online Software-Based Self-Testing in the Dark Silicon Era
No full textAggressive technology scaling and intensive computations have caused acceleration in the aging and wear-out process of digital systems, hence leading to an increased occurrence of premature permanent faults. Online testing techniques are becoming a necessity in current and near future digital systems. However, state-of-the-art techniques are not aware of the other digital systems’ power/performance requirements that exist in modern multi-/many-core systems. This chapter presents an approach for power-aware non-intrusive online testing in many-core systems. The approach aims at scheduling at runtime Software-Based Self-Test (SBST) routines on the various cores to exploit their idle periods in order to benefit the potentially available power budget and minimize the performance degradation. Furthermore, a criticality metric is used to identify and rank cores that need testing at a time and power and reliability issues related to the testing at different voltage and frequency levels are taken into account. Experimental results show that the proposed approach can (1) efficiently perform cores’ testing, within less than 1?% penalty on system throughput and by dedicating only 2?% of the actual consumed power, (2) adapt to the current stress level of the cores by using the utilization metric, and (3) cover all the voltage and frequency levels during the various tests.</p
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