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.
In this paper we describe our submissions to WAT-2021 (Nakazawa et al., 2021) for English-to-Myanmar language (Burmese) task. Our team, ID: YCC-MT1'', focused on bringing transliteration knowledge to the decoder without changing the model. We manuall
y extracted the transliteration word/phrase pairs from the ALT corpus and applying XML markup feature of Moses decoder (i.e. -xml-input exclusive, -xml-input inclusive). We demonstrate that hybrid translation technique can significantly improve (around 6 BLEU scores) the baseline of three well-known Phrase-based SMT'', Operation Sequence Model'' and Hierarchical Phrase-based SMT''. Moreover, this simple hybrid method achieved the second highest results among the submitted MT systems for English-to-Myanmar WAT2021 translation share task according to BLEU (Papineni et al., 2002) and AMFM scores (Banchs et al., 2015).
Siamese Neural Networks have been widely used to perform similarity classification in multi-class settings. Their architecture can be used to group the clinical trials belonging to the same drug-development pathway along the several clinical trial ph
ases. Here we present an approach for the unmet need of drug-development pathway reconstruction, based on an Enhanced hybrid Siamese-Deep Neural Network (EnSidNet). The proposed model demonstrates significant improvement above baselines in a 1-shot evaluation setting and in a classical similarity setting. EnSidNet can be an essential tool in a semi-supervised learning environment: by selecting clinical trials highly likely to belong to the same drug-development pathway it is possible to speed up the labelling process of human experts, allowing the check of a consistent volume of data, further used in the model's training dataset.
Aim of study: To compare the cleaning effectiveness of manual,
rotary Flexmaster and hybrid (manual and Pro taper)
instrumentation techniques in primary molar teeth.
Material and Methods: Thirteen primary molars without external
resorption were s
elected. After endodontic access, the teeth were
injected with Indian-ink and divided into three groups.
محرك الخطوة من أكثر المحركات المستخدمة في أنظمة التحكم عندما يراد
التحكم بالحركة و الموضع معاً، و لعل المحرك الخطوي الهجين يعتبر من أهم هذه
الأنواع ، و موضوع أنظمة التحكم الخاصة بعمل هذا النوع من المحركات يعتبر
مهماً جداً خاصة مع استخدام مفهوم الأ
تمتة في هذه الأيام، لذا فإن تصميم نموذجٍ
لنظام التحكم و محاكاته باستخدام برنامج MATLAB يعد تطبيقاً عملياً لنظام التحكم
بعمل المحرك الخطوي الهجين، و دراسة العوامل المؤثرة عليه ببساطة و سهولة و بتوفير
للوقت و الجهد و الكلفة إضافة لإمكانية التأكد من صحة النتائج و دقتها.
This study has reached to that ANN (5-9-1) (five neurons in input
layer_nine neurons in hidden layer _ one neuron in output layer) is the
optimum artificial network that hybrid system has reached to it with
mean squared error equals (1*10^-4) (0.7
m3/sec), where this software
has summed up millions of experiments in one step and in limited time, it
has also given a zero value of a number of network connections, such as
some connections related of relative humidity input because of the lake
of impact this parameter on the runoff when other parameters are
avaliable.
This study recommend to use this technique in forecasting of
evaporation and other climatic elements.
The paper presents a research hybrid systems
(hydrogen-photovoltaic) for a mobile phone station in an area far from the
network or can be mobile in a desert area. This study investigates and
design a renewable energy-based energy system for a mobi
le phone
station. The proposed energy system includes of the following main
components: photovoltaic panels, fuel cells, water analyzer and batteries,
as well as a diesel generator.
This study evaluates the energetic and environmental performances
of a group of renewable energy technologies widely used in the
residential sector, by applying them to a typical housing unit that
resembles to some extent our local housing units.
Then comparing
those technologies with the conventional ones.
The renewable energy technologies used in this study are:
thermosiphon domestic solar water heater with evacuated tube
collector, PV system, geothermal heat pump (GSHP), in addition to
four hybrid systems that include: the solar water heater with three
types of backup systems (diesel, electricity and natural gas) and a
hybrid system that combines between the geothermal heat pump
and a PV system to operate it.
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.
In the last two decades, the use of advanced composite materials such
as Fiber Reinforced Polymers (FRP) in strengthening reinforced
concrete (RC) structural elements has been increasing. Research and
design guidelines concluded that externally bo
nded FRP could increase
the capacity of RC elements efficiently. However, the linear stressstrain
characteristics of FRP up to failure and lack of yield plateau have
a negative impact on the overall ductility of the strengthened RC
elements. Use of hybrid FRP laminates, which consist of a
combination of either carbon and glass fibers, or glass and aramid
fibers, changes the behavior of the material to a non-linear behavior.
This paper aims to study the performance of reinforced concrete beams
strengthened by hybrid FRP laminates.
