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Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Scienc…

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license. Pipeline releases All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser. WARP Dockers and custom tools in warp-tools repository All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, warp-tools. WARP documentation Read more about our pipelines and repository on the WARP documentation site. To contribute to WARP, please read the contribution guidelines. Citing WARP When citing WARP, please use the following: Kylee Degatano, Aseel Awdeh, Robert Sidney Cox III, Wes Dingman, George Grant, Farzaneh Khajouei, Elizabeth Kiernan, Kishori Konwar, Kaylee L Mathews, Kevin Palis, Nikelle Petrillo, Geraldine Van der Auwera, Chengchen (Rex) Wang, Jessica Way. "Warp Analysis Research Pipelines: Cloud-optimized workflows for biological data processing and reproducible analysis." Bioinformatics, 2025; https://doi.org/10.1093/bioinformatics/btaf494

Supplementary data, corrected analysis pipeline, and re-analysis results for the revised manuscript. Contains: the 3,200 archived raw API responses (2026-07-27) and their corrected verdicts; the offic…

Supplementary data, corrected analysis pipeline, and re-analysis results for the revised manuscript. Contains: the 3,200 archived raw API responses (2026-07-27) and their corrected verdicts; the official JavaVulBench 200-sample probes; the October 2026 refresh grid (4 models x 4 strategies) and drift snapshots; cleanly retrained CodeBERT results; a direct-API GPT-4o replication with snapshot comparison; static-analyzer baselines; and the training/evaluation leakage audit. All tables in the revision are recomputed from the included data with the included code.

This research aimed to perceive the situation and the perception of the Islamic studies teachers on the teaching behaviors to encourage students' creative thinking, to study the teaching behaviors of …

This research aimed to perceive the situation and the perception of the Islamic studies teachers on the teaching behaviors to encourage students' creative thinking, to study the teaching behaviors of the Islamic studies teachers and related conditions of the teaching behaviors to encourage the students' creative thinking. The in-depth interview was used in this qualitative study and nine Islamic studies teachers were selected by the purposive sampling technique with the criteria. The study showed that teachers perceived the situation of the teaching behaviors to encourage the students' creative thinking skills namely 1) teachers have low quality of teaching behavior; 2) teachers have started to develop their teaching methods but not as good as they should be 3) students are more likely to approach academic teachers than religious teachers; 4) teachers need to be improved their teaching methods and other related areas. Thus, the teaching behaviors to encouraged creative thinking skills namely 1) the instructional behavior such as demonstrating examples in teaching, using visual media, implementing technology in teaching, etc.; 2) The classroom management behavior such as evaluating students' marks by group, approaching students at the out of class learning, etc.; 3) The socio-emotional behavior such as preserving a positive attitude towards the students, having good interaction between teacher and students, etc. there were two types of the conditions related to the teaching behaviors namely 1) Individual conditions including; assertiveness, continuity self-development, etc.; 2)environment conditions including; the subjects taught are conducive to enhancing creativity and having teacher role model.Preservation copy of the original JOIS article. Original issue: Journal of Islamic Studies, Prince of Songkla University; Vol. 11 No. 1 (2020): January-June 2020; 14 - 32. Original OJS page: article record. The end of the issue period is used as the archival publication date; the original day is not specified.

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Scienc…

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license. Pipeline releases All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser. WARP Dockers and custom tools in warp-tools repository All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, warp-tools. WARP documentation Read more about our pipelines and repository on the WARP documentation site. To contribute to WARP, please read the contribution guidelines. Citing WARP When citing WARP, please use the following: Kylee Degatano, Aseel Awdeh, Robert Sidney Cox III, Wes Dingman, George Grant, Farzaneh Khajouei, Elizabeth Kiernan, Kishori Konwar, Kaylee L Mathews, Kevin Palis, Nikelle Petrillo, Geraldine Van der Auwera, Chengchen (Rex) Wang, Jessica Way. "Warp Analysis Research Pipelines: Cloud-optimized workflows for biological data processing and reproducible analysis." Bioinformatics, 2025; https://doi.org/10.1093/bioinformatics/btaf494

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Scienc…

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license. Pipeline releases All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser. WARP Dockers and custom tools in warp-tools repository All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, warp-tools. WARP documentation Read more about our pipelines and repository on the WARP documentation site. To contribute to WARP, please read the contribution guidelines. Citing WARP When citing WARP, please use the following: Kylee Degatano, Aseel Awdeh, Robert Sidney Cox III, Wes Dingman, George Grant, Farzaneh Khajouei, Elizabeth Kiernan, Kishori Konwar, Kaylee L Mathews, Kevin Palis, Nikelle Petrillo, Geraldine Van der Auwera, Chengchen (Rex) Wang, Jessica Way. "Warp Analysis Research Pipelines: Cloud-optimized workflows for biological data processing and reproducible analysis." Bioinformatics, 2025; https://doi.org/10.1093/bioinformatics/btaf494

The purpose of this research was to study and discuss in the role of the establishment of the Muslim community in the Sukhothai period, based on the evidence presented in the first inscription stone o…

The purpose of this research was to study and discuss in the role of the establishment of the Muslim community in the Sukhothai period, based on the evidence presented in the first inscription stone of The King Ramkhamhaeng. It is currently stored in the National Museum Phranakorn in the north side of upper part, in the room where the Sukhothai art shows are kept for the benefit of historical and archaeological studies. This research is a qualitative research by studying the document from the first inscription of the King Ramkhamhaeng inscription in side 3, line 2 which was inscribed that "At the foot of the city of Sukhothai, there is Pasan market, there is a Bhra Achchana, there is castle". Compared with the text in the same stone inscription on the second part that was inscribed, "The middle of city Sukhothai, there is Pihar, there is Golden Buddha image, and there is Bhra Aththaroth". Study the meaning of the inscription name of "Ach Cha Na" which was inscribed after name of Pasan Market in the same line of the third side, line 2 and compare with ancient maps and archives from both domestic and foreign to find out a Muslim community located near Pasan market. Is there considered as district Ruesi-chum? Why was it called Ruesi-chum?, Has the name Ruesi-chum gotten any indications with Muslim cultures?, Was the name changed from Wad Ruesi-chum to wad Sri-chum?, and analysis in existence and disappearance of Muslims in the area of Pasan market in Ruesri-chum district.Preservation copy of the original JOIS article. Original issue: Journal of Islamic Studies, Prince of Songkla University; Vol. 11 No. 1 (2020): January-June 2020; 1 - 13. Original OJS page: article record. The end of the issue period is used as the archival publication date; the original day is not specified.

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Scienc…

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license. Pipeline releases All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser. WARP Dockers and custom tools in warp-tools repository All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, warp-tools. WARP documentation Read more about our pipelines and repository on the WARP documentation site. To contribute to WARP, please read the contribution guidelines. Citing WARP When citing WARP, please use the following: Kylee Degatano, Aseel Awdeh, Robert Sidney Cox III, Wes Dingman, George Grant, Farzaneh Khajouei, Elizabeth Kiernan, Kishori Konwar, Kaylee L Mathews, Kevin Palis, Nikelle Petrillo, Geraldine Van der Auwera, Chengchen (Rex) Wang, Jessica Way. "Warp Analysis Research Pipelines: Cloud-optimized workflows for biological data processing and reproducible analysis." Bioinformatics, 2025; https://doi.org/10.1093/bioinformatics/btaf494

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Scienc…

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license. Pipeline releases All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser. WARP Dockers and custom tools in warp-tools repository All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, warp-tools. WARP documentation Read more about our pipelines and repository on the WARP documentation site. To contribute to WARP, please read the contribution guidelines. Citing WARP When citing WARP, please use the following: Kylee Degatano, Aseel Awdeh, Robert Sidney Cox III, Wes Dingman, George Grant, Farzaneh Khajouei, Elizabeth Kiernan, Kishori Konwar, Kaylee L Mathews, Kevin Palis, Nikelle Petrillo, Geraldine Van der Auwera, Chengchen (Rex) Wang, Jessica Way. "Warp Analysis Research Pipelines: Cloud-optimized workflows for biological data processing and reproducible analysis." Bioinformatics, 2025; https://doi.org/10.1093/bioinformatics/btaf494

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Scienc…

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license. Pipeline releases All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser. WARP Dockers and custom tools in warp-tools repository All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, warp-tools. WARP documentation Read more about our pipelines and repository on the WARP documentation site. To contribute to WARP, please read the contribution guidelines. Citing WARP When citing WARP, please use the following: Kylee Degatano, Aseel Awdeh, Robert Sidney Cox III, Wes Dingman, George Grant, Farzaneh Khajouei, Elizabeth Kiernan, Kishori Konwar, Kaylee L Mathews, Kevin Palis, Nikelle Petrillo, Geraldine Van der Auwera, Chengchen (Rex) Wang, Jessica Way. "Warp Analysis Research Pipelines: Cloud-optimized workflows for biological data processing and reproducible analysis." Bioinformatics, 2025; https://doi.org/10.1093/bioinformatics/btaf494

لاشك أننا نعيش عصر انفجار المعرفة والعولمة؛ الأمر الذي أدى إلى ظهور اجتهادات غريبة في القضايا الدعوية واستخدامات وسائلها؛ بما يدعو إلى تصحيح الاجتهادات وضبطها بالقواعد الفقهية ومقاصدها، ومن الجوانب ال…

لاشك أننا نعيش عصر انفجار المعرفة والعولمة؛ الأمر الذي أدى إلى ظهور اجتهادات غريبة في القضايا الدعوية واستخدامات وسائلها؛ بما يدعو إلى تصحيح الاجتهادات وضبطها بالقواعد الفقهية ومقاصدها، ومن الجوانب التي تسهم في ضبط تلك الاجتهادات والقضايا وفق تعاليم الإسلام تكييفها على قواعد المقاصد الشرعية والاستفادة منها في التطبيقات الدعوية، ومن تلكم القواعد: قاعدة الوسائل لها أحكام المقاصد، ولتجلية القاعدة فإن البحث يهدف إلى بيان مفهوم القاعدة، وحاجة الدعوة الإسلامية إلى قواعد المقاصد، مع بيان التطبيقات الدعوية المستنبطة من القاعدة.Preservation copy of the original JOIS article. Original issue: Journal of Islamic Studies, Prince of Songkla University; Vol. 10 No. 2 (2019): July - December; 109-121. Original OJS page: article record. The end of the issue period is used as the archival publication date; the original day is not specified.