This paper describes our methods submitted for the GermEval 2021 shared task on identifying toxic, engaging and fact-claiming comments in social media texts (Risch et al., 2021). We explore simple strategies for semi-automatic generation of rule-base
d systems with high precision and low recall, and use them to achieve slight overall improvements over a standard BERT-based classifier.
We introduce a taxonomic study of parallel programming models
on High-Performance architectures. We review the parallel
architectures(shared and distributed memory), and then the
development of the architectures through the emergence of the
heter
ogeneous and hybrid parallel architectures.
We review important parallel programming model as the
Partitioned Global Address Space (PGAS) model, as model for
distributed memory architectures and the Data Flow model as
model to heterogeneous and hybrid parallel programming. Finally
we present several scenarios for the use of this taxonomic study.
We discussed in this work some predictive methods for time series and it is decomposing time series to its component (trend, Seasonality, cycle, random), Exponential smoothing, ARIMA, then we discussed some combining methods, then we formed a new c
ombine for predict time series which depends on combining exponential smoothing and ARIMA using weighted average with MAPE weights, and applied all methods above on three seasonal time series , first hourly temperature in Aleppo in august 2011 ,second monthly milk production peer cow in Australia from Jan 1962 to Dec 1975,third quartly electricity production in Australia from Mar 1956 to Sep 1994, and compared the results which approved that the suggested method is the best.
The most important characteristic of Massively Parallel Computing systems is the topology of the network that means how
to connect the processors with each other so that provides fast data transfer and low cost.
In this research, we will find new l
ink networks that provide speed
in the transport and low cost compared with other traditional
networks for connecting processors.
Interconnection networks are divided to be static networks so that
fixed links between processors, while dynamic networks so that
every communication between two processors owns more than one path.
Each network differs from the other in cost which express the
number of links within this network, and speed which express the
network diameter and bisection. The network is best whenever the
cost is less and diameter is less but bisection is larger.
In this research I compared between these networks and then look
for new networks through hybridization between core networks.
After that I studied the specification of hybrid interconnections
compared with its constituent core networks.
The advantage of peer-to-peer (P2P) paradigm relies on two main concepts: cooperation among
users and resource sharing. There are many applications based on peer-to-peer paradigm, but
the most popular one is the file sharing. We can classify the fi
le sharing application into
centralized systems, (having a central server), and decentralized systems. Another classification
would be structured and unstructured systems, based on the way of managing the indexing
information. In this paper, we have implemented a centralized peer-to-peer application for file
sharing. Then we evaluated the performance of the system by means of simulation.
نفذت هذه الدراسة في ثلاثة مواقع بيئية مختلفة على مدى ثلاث سنوات متتالية على عدد من هجن
الذرة الصفراء المستنبطة محليًا، بالتعاون بين كلية الزراعة بجامعة دمشق و دائرة بحوث الذرة في
مديرية البحوث العلمية الزراعية بوزارة الزراعة و الإصلاح الزراعي. اتبع
تصميم القطع تحت المنشقة
لتحليل التباين لصفتي الإنتاجية و نسبة الرطوبة في الحبوب من ثلاثة مكررات استخدم برنامج MSTAT
لمقارنة المتوسطات و لتحديد درجة المعنوية لكل من عامل الصنف، السماد الآزوتي و اختبار Dencan
و الكثافة النباتية إضافة إلى الأفعال المتبادلة بين هذه العوامل و بينها و بين المواقع و السنوات.
