1,724,524 research outputs found
Hafsa bint Sîrîn and the evaluation of the narrations
No full textLisansüstü Eğitim Enstitüsü, Temel İslam Bilimleri Ana Bilim DalıHicrî I. asırda Basra'da yaşayan Hafsa bint Sîrîn döneminin önemli hanım âlimlerinden biridir. Kaynaklarda hadis ilminin yanı sıra fıkıh ve tefsir ilmiyle ilgilendiği tespit edilen Hafsa bint Sîrîn, önde gelen sahâbe ve tâbiûndan hadis almış ve kendinden sonraki âlimlere aktarmıştır. Hadis münekkitlerince sika kabul edilen Hafsa hakkında herhangi bir cerh ifadesi bulunmamaktadır. Hafsa, fıkıh bilgisiyle temayüz eden ve Medine'den Basra'ya gelen Ümmü Atiyye el-Ensâriyye'nin önde gelen talebelerindendir. Ayrıca döneminin önemli âlimlerden olan İyâs b. Muâviye ve Hişâm b. Hassân kendisinden övgü ile bahsetmiştir. Bu sebeple Hafsa bint Sîrîn'in hadis ilmindeki konumunu ortaya koymak hem o dönemdeki kadın portresini görebilmek hem de bir hadis âlimin hayatının bilinmesi açısından önem arz etmektedir. Bu amaçla Hafsa bint Sîrîn'in hayatı, ailesi, sosyal ve ilmi kişiliği, cerh-ta'dîl durumu ve rivâyetleri iki bölümde ele alınmıştır. Rivâyetlerin tam metni, tercümesi, isnad şemaları yapılmış, rivâyetler konularına göre tablolarda gösterilmiştir.Hafsa bint Sîrîn, who lived in Basra in the first century Hijri, was an important lady of the period, one of its scholars. In addition to the science of hadith, the science of fiqh and tafsir. Hafsa bint Sîrîn, who was determined to be interested in hadiths from the notables of the Companions and Tabiun and transferred this to later scholars, was accepted into sika by hadith critics. There is no cerh statement about Hafsa. She is one of the important students of Umm Atiyya al-Ansariyya, who came to Basra from Medina and distinguished himself with his knowledge of fiqh. She is also one of the important scholars of his time Iyâs b. Muâviye and Hisham b. Hassan spoke highly of him. For this reason, revealing the position of Hafsa bint Sîrîn in the science of hadith is both Being able to see the portrait of a woman in the period and to see the life of an important scholar important to know. For this purpose, Hafsa bint Sîrîn's life, family, social and scientific personality, cerh ta'dil status and narrations are discussed in two parts. The full text of the narratives, translation, attribution schemes were made, and the narrations were presented in the tables according to their subjects
Hafsa bint al-Hajj
No full textHafsa bint al-Hajj was an Arabic poet of twelfth-century al-Andalus. Although she is associated with the city of Granada, her name links her to the village of Rakuna, as she is often called Hafsa bint al-Hajj al-Rakuniyya or al-Rukuniyya. She composed verses in a range of genres, from love poetry to satire, and she was famously romantically linked with fellow poet and dignitary Abu Jaʿfar ibn Saʿid, whom she elegized after his execution in 1163. She died in 1191, having spent the latter part of her career as an educator in Marrakech. Some 17 of her poems and fragments are extant, making her corpus one of the best-preserved of the Arabic women poets of the Iberian Peninsula
Fariya Naseem: Perseverance pays
No full textInspired by Max Adam’s original work, Unquiet Women, through this series Dr Hafsa Ahmed aims to share narratives of remarkable women who immigrated to New Zealand. These stories are rarely told, but each one is unique. Hafsa hopes these stories will bring Asia closer to New Zealand by enabling us to see through the eyes of others and nurturing connections. In the second piece from the Unquiet Women series, she shares teacher Fariya Naseem’s story
Hafsa Ahmed
No full textThe overall design concept involves creating a unique layout that adapts to the modern style of a fire station. My plan was to enlarge the Apparatus Bay and the Kitchen, so that there is more space within the station for safety measures . I also added a wellness area for fire fighters to have a place to relax & also added a multipurpose room, where the fire fighters can go and distress after a long hard day at work. This will help create a better mental state and help get rid of the stress. Since the kitchen is considered to be the heart of the fire station, I wanted it to be one of the most visually appealing spaces within the station, which is why I added new commercial grade appliances. I also increased the size of the exterior Patio area to give it a better functional space for the fire fighters. With this I was able to achieve my goal of accessible spaces within the station that work well with the overall flow. As for the exterior my design strategy was to create a modern style design, which consists a lot of curtain walls because natural light is very soothing. I believe the fire fighters would want to come to a home like space, which not only helps relax them but also helps make them enjoy coming to work
Unquiet Women: Shreejana Chhetri
No full textInspired by Max Adam’s original work, Unquiet Women, through this series Dr Hafsa Ahmed aims to share narratives of remarkable women who immigrated to New Zealand. These stories are rarely told, but each one is unique. Hafsa hopes these stories will bring Asia closer to New Zealand by enabling us to see through the eyes of others and nurturing connections.
In the third piece of the Unquiet Women series, she shares community leader Shreejana Chhetri's story
Unquiet Women - Erica Austin: Curator of connections
No full textInspired by Max Adam’s original work, Unquiet Women, through this series Dr Hafsa Ahmed aims to share narratives of remarkable women who immigrated to New Zealand. These stories are rarely told, but each one is unique. Hafsa hopes these stories will bring Asia closer to New Zealand by enabling us to see through the eyes of others and nurturing connections.
In the fifth piece of the Unquiet Women series, she shares Erica Austin's (Sijia Liang) story
Unquiet women: Suhayla Asghari – Courage personified
No full textInspired by Max Adam’s original work, Unquiet Women, through this series Dr Hafsa Ahmed aims to share narratives of remarkable women who immigrated to New Zealand. These stories are rarely told, but each one is unique. Hafsa hopes these stories will bring Asia closer to New Zealand by enabling us to see through the eyes of others and nurturing connections.
In the first piece of the Unquiet Women series, she shares wellbeing practitioner Suhayla Asghari’s story
Mandarine Academy Professional Timetabling Dataset
No full textMandarine Academy Professional Timetabling (MAPT) is a real-world dataset suggested to solve Professional Timetabling Problems (PTPs). A rather under-exploited category of the overall Timetabling Problems. However, we believe it can still be applied to traditional problems (education, health, etc.) as a helpful benchmark dataset to assist researchers in comparing different methods. Compared to conventional educational datasets such as (ITC2007), MAPT proposes richer features inspired by real-world data to provide insight into corporate training logistics and timetabling complexities.
Two different kinds of records are in MAPT:
Input files that are used as testing the approach. Having 3 other groups (Small, Medium, and Large) each in 20 different instances, totaling 60 test sets, to simulate different real-world scenarios.
Second records are training files that include the information of each entity involved in the scheduling process. Such as training, teachers, rooms, locations, etc. Note that both records have no redundant values.
Test files (/Input/):
We provide test files used in our experiments. To simulate different real-world scenarios, we created varying complexities (number of events and available time window).
Folder mapt_sm: The full MAPT (Small) test instances (20).
Folder mapt_md: The full MAPT (Medium) test instances (20).
Folder mapt_md_2: The full MAPT (Medium) with limited time window test instances (20).
Folder mapt_lg: The full MAPT (Large) test instances (20).
Folder mapt_lg_2: The full MAPT (large) with limited time window test instances (20).
Training files (/Dataset/)
These files give information about each entity found in the planning process. They are crucial to validate solutions with defined constraints.
trainings.csv: This file has essential information about all training used in the planning process (ID, Type, Duration, etc.).
training_skills.csv: This file provides a list of required skills for each training.
training_rooms.csv: Associated rooms to training.
training_devices.csv: Associated devices to training.
training_animators.csv: Associated teachers to training.
training_skilled_animators.csv: Associated skilled teachers to training
sequences.csv: This file has essential information about all sequences used in the planning process (ID, Name, Duration, etc.).
sequence_rooms.csv: Associated rooms to sequences.
sequence_devices.csv: Associated devices to sequences.
sequence_animators.csv: Associated teachers to sequences.
sequence _skills.csv: This file provides a list of required skills for each sequence.
resource_rooms.csv: This file has essential information about all rooms (ID, capacity, location, etc.).
resource_devices.csv: This file has essential information about all equipment (ID, type, etc.).
resource_animator.csv: This file has essential information about all teachers (ID, type, etc.).
animator_skills.csv: This file provides a list of skills associated with each teacher.
rooms_unavailability.csv = This file provides reservation information (dates, times, location, etc.) made for each room.
device_unavailability.csv = This file provides reservation information (dates, times, location, etc.) made for each piece of equipment.
animator_unavailability.csv: This file provides reservation information (dates, times, location, etc.) made for each teacher.
localization.csv: these files have information (id, city, country, etc.) about where events can take place.
Initial Solutions (/Initial Solutions /)
Initial solutions were made available using our proposed constructive heuristic found in our work. These can be used directly as input to benchmark approaches.
Folder mapt_sm: Initial solutions using the first input file sm_0.csv.
Folder mapt_md: Initial solutions using the first input file md_0.csv.
Folder mapt_md_2: Initial solutions using the first input file md_2_0.csv.
Folder mapt_lg: Initial solutions using the first input file bg_0.csv.
Folder mapt_lg_2: Initial solutions using the first input file bg_2_0.csv.
Final non-dominant solutions (/Non-dominant solutions/) :
We provide final objectives and directions. We included NSGAII and NSGAIII results using only 3 Objectives.
Folder mapt_sm: Final objectives values using the first input file sm_0.csv.
Folder mapt_md: Final objectives values using the first input file md_0.csv.
Folder mapt_lg: Final objectives values using the first input file bg_0.csv.
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E-learning Recommender System Dataset
No full textMandarine Academy Recommender System (MARS) Dataset is captured from real-world open MOOC {https://mooc.office365-training.com/}. The dataset offers both explicit and implicit ratings, for both French and English versions of the MOOC. Compared with classical recommendation datasets like Movielens, this is a rather small dataset due to the nature of available content (educational). However, the dataset offers insights into real-world ratings and provides testing grounds away from common datasets.
All items are available online for viewing in both French and English versions. All selected users had rated at least 1 item. No demographic information is included. Each user is represented by an id and job (if available).
For both French and English, the same kind of files is available in .csv format. We provide the following files:
Users: contains information about user ids and their jobs.
Items: contains information about items (resources) in the selected language. Contains a mix of feature types.
Ratings: Both explicit (Watch time) and implicit (page views of items).
Formatting and Encoding
The dataset files are written as comma-separated values files with a single header row. Columns that contain commas (,) are escaped using double quotes ("). These files are encoded as UTF-8.
User Ids
User ids are consistent between explicit_ratings.csv and implicit_ratings.csv and users.csv (i.e., the same id refers to the same user across the dataset).
Item Ids
Item ids are consistent between explicit_ratings.csv, implicit_ratings.csv, and items.csv (i.e., the same id refers to the same item across the dataset).
Ratings Data File Structure
All ratings are contained in the files explicit_ratings.csv and implicit_ratings.csv. Each line of this file after the header row represents one rating of one item by one user, and has the following format:
item_id,user_id,created_at (implicit_ratings.csv)
user_id,item_id,watch_percentage,created_at,rating (explicit_ratings.csv)
Item Data File Structure
Item information is contained in the file items.csv. Each line of this file after the header row represents one item, and has the following format:
item_id,language,name,nb_views,description,created_at,Difficulty,Job,Software,Theme,duration,type
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Unquiet Women: Pimmy Takdhada on finding freedom
No full textAs part of the Unquiet Women series, Hafsa Ahmed reports from Christchurch with the latest profile: Pimmy Takdhada from Thailand, who moved to New Zealand almost 30 years ago
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