YoungSheldon at SemEval-2021 Task 7: Fine-tuning Is All You Need

In this paper, we describe our system used for SemEval 2021 Task 7: HaHackathon: Detecting and Rating Humor and Offense. We used a simple fine-tuning approach using different Pre-trained Language Models (PLMs) to evaluate their performance for humor and offense detection. For regression tasks, we averaged the scores of different models leading to better performance than the original models. We participated in all SubTasks. Our best performing system was ranked 4 in SubTask 1-b, 8 in SubTask 1-c, 12 in SubTask 2, and performed well in SubTask 1-a. We further show comprehensive results using different pre-trained language models which will help as baselines for future work.

hub at SemEval-2021 Task 7: Fusion of ALBERT and Word Frequency Information Detecting and Rating Humor and Offense

This paper introduces the system description of the hub team, which explains the related work and experimental results of our team's participation in SemEval 2021 Task 7: HaHackathon: Detecting and Rating Humor and Offense. We successfully submitted the test set prediction results of the two subtasks in the task. The goal of the task is to perform humor detection, grade evaluation, and offensive evaluation on each English text data in the data set. Tasks can be divided into two types of subtasks. One is a text classification task, and the other is a text regression task. What we need to do is to use our method to detect the humor and offensive information of the sentence as accurately as possible. The methods used in the results submitted by our team are mainly composed of ALBERT, CNN, and Tf-Idf algorithms. The result evaluation indicators submitted by the classification task are F1 score and Accuracy. The result evaluation index of the regression task submission is the RMSE. The final scores of the prediction results of the two subtask test sets submitted by our team are task1a 0.921 (F1), task1a 0.9364 (Accuracy), task1b 0.6288 (RMSE), task1c 0.5333 (F1), task1c 0.0.5591 (Accuracy), and task2 0.5027 (RMSE) respectively.

Modeling of sloshing in moving cylindrical containers by using ANSYS program

This research is concerned in modeling the problem of sloshing in moving cylindrical containers in ANSYS program where we model the problem on a partially filled cylinder then we find the resonant frequencies in addition to study the interaction between the cylinder and the fluid.

Comparison study of total displacements of multi-story buildings subjected to earthquake using synthetic timehistory records compatible with Syrian code

Response spectrum analysis and equivalent static analysis is widely used by engineers and engineering offices to estimate buildings and structures response to earthquakes. But performance based procedures to evaluate buildings and new designs according to Syrian code and other international codes require response analysis using smallest of earthquake records, where we can estimate engineeringdemandparameters(EDPs)— floordisplacements,storydrifts,memberforces,memberdeformations,etc.— ofbuildingsandspecialstructuressubjectedtogroundmotions, consecutively to verify required performance criteria. Theserecordsshouldbeproperlyselectedandscaledincompliancewithsitespecifichazardconditionstoestimate (EDPs) and ensure that they verify ―expected‖ median demands. In this study, background, selection procedures compatible with Syrian code, and review of most scaling methods were introduced. The structural response was studied by comparing displacements due to response spectrum analysis, scaled records using PGA, and synthetic time histories records in time domain and frequency domain (generated according to Syrian response spectrum). Tow three-dimensional models of real buildings in Lattakia city were used as study cases, the results obtained by 20 analysis processes. The results show that analysis using synthetic records compatible with Syrian code give noticeably less displacements estimates comparing with response spectrum analysis and analysis using records scaled by PGA scaling.

حصر و تعريف أنواع الأعشاب في بساتين الحمضيات في منطقة اللاذقية

شملت هذه الدراسة حصر و تعريف 80 نوعاً و تحت نوع واحد من الأعشاب تنتمي لـ 64 جنساً موزعة على 28 فصيلة ضمن ثلاثة بساتين للحمضيات في منطقة اللاذقية على مدار أربعة فصول خلال الفترة الواقعة من أيلول 2014 حتى آب 2015. تم حساب كل من الكثافة و الكثافة النسبية و التردد و التردد النسبي لكل نوع عشبي لمعرفة تركيب الغطاء العشبي و أهمية الأنواع المنتشرة. كانت نسبة الأنواع التابعة لأحاديات الفلقة 24.69%، أما التابعة لثنائيات الفلقة كانت نسبتها 75.31%، و شكلت الأنواع الحولية نسبة كبيرة بلغت 85.19% و المعمرة 13.58% و ثنائية الحول 1.23%. دلت النتائج أن أكثر أنواع الأعشاب الموجودة في بساتين الحمضيات تتبع الفصيلة الكلئية (Poaceae)، حيث تضمنت 17 نوعاً و تحت نوع واحد، و تلتها الفصيلة الفولية (Fabaceae (9 أنواع و الفصيلة النجمية (Asteraceae (8 أنواع و الفصيلة الحليبية (Euphorbiaceae (7 أنواع. وكان أكثر أنواع أحادية الفلقة كثافةً نوع السعد Cyperus rotundus L. بكثافة بلغت 20.2 نبات/م2 خلال فصل الصيف، أما أكثر أعشاب ثنائيات الفلقة كثافةً عشبة حشيشة الزئبق Mercurialis annua L. بكثافة59.27 نبات/م2 خلال فصل الخريف. و من أهم نتائج الدراسة أيضا إضافة 3 أنواع، و تحت نوع واحد من الفصيلة الكلئية (Poaceae) للفلورا السورية.

Generation of Synthetic Time Histories Functions Compatible with Syrian Response Spectra in Frequency Domain and Time Domain Applicable to Dynamic Analysis

In this study, basic methodologies and procedures for generation synthetic time histories in time domain and frequency domain are summarized. These synthetic time histories are matching Syrian spectrum and compatible with wide range of buildings models and soil types according to the seismic parameters of Lattakia city. This paper will discuss the Selection and scaling criteria of three real time history records available in strong ground motion databases to satisfy the Syrian spectrum, and the suitability as input to time history analysis of civil engineering structures.

Electrical Interconnection Effect in Reinforcement Stability of Frequency in Emergency and Natural States

This research is divided into theoretical and practical sections. The theoretical section clarifies the importance of electrical interconnection in frequency stability, which reports the most important technical and economic benefits achieved for the electrical network stability in general and frequency stability by the (EIJLLPST) project. The practical section will introducea number of simulation on the Syrian network for the year 2011 using the PSS/E, and rely on this program after comparing the results with the results of real situations, through the application of several incidents of blackout occurred in the Syrian network (and archived of frequency when they occur) Where the experienced of this research was focus on the importance of the spinning reserve, electrical interconnection and the separation of electrical loads using underfrequency rely To maintain the stability of electrical grid frequency in Syria ,and to avoid falling into undesirable values of frequency.

The impact of wind farms on frequency stability of Syrian electrical power system

This study aims to analyze the effect of the wind farms on frequency stability of the electrical power network, and the description of the performance of Syrian Electrical Power System with integration of wind farms in several regions in Syria (Al-Quenetera – Al-Hejana - Ghabagheb) through the evaluation of frequency stability of the power system and the Critical Clearing Time (CCT). The effect of wind farms on the frequency behavior of Syrian network and factors related will be investigated such as generation technology by replacing the power-generated source by two main types of induction generators, changing the location of wind farms and increasing gradually the rate of wind power. The simulation analysis will be applied on Syrian Electrical Power System 230KV – 400KV, by using program NEPLAN, which gives access to an extensive library of grid components, and relevant wind turbine model.