149 research outputs found
Actors of the Civil War in Turkmenistan: the truth and fiction about Junaid Khan
No full textThe article describes about little-known pages in the life of one of the key military
and political leaders of the Civil War in Turkmenistan, Junaid Khan — Kurbanmamed
serdar (1862–1938). The historiography of the issue is criticized. Based on
unpublished sources from the founds of state and departmental archives, the
details of the biography of this figure related to his participation in the fratricidal
confrontation are clarified. The theoretical basis of the study is a combination of
military anthropology, problematic and comparative historical methods. Summing
up, the author assesses the personality of Junaid Khan against the backdrop of the
controversial era in which this military and political figure lived
Annotated educational videos and subtitles (EDUVSUM)
No full textWe have collected educational videos with subtitles from three popular e-learning platforms: Edx,YouTube, and TIB AV-Portal that cover the following topics: crash course on history of science and engineering, computer science, python and web programming, machine learning and computer vision, Internet of things (IoT), and software engineering. In total, the current version of the dataset contains 98 videos with ground truth values annotated by a user with an academic background in computer science.
Cite our work in order to use the resources (https://arxiv.org/abs/2010.13626 )
https://github.com/VideoAnalysis/EDUVSUM
https://github.com/VideoAnalysis/VideoAnnotationTool
@article{ghauri2020eduvsum,
title={Classification of Important Segments in Educational Videos using Multimodal Features},
author={Ghauri, Junaid Ahmed and Hakimov, Sherzod and Ewerth, Ralph},
Conference={International Workshop on Investigating Learning During Web Search (IWILDS 2020) co-located with CIKM},
year={2020}
The Fana\u27 Concept of Abu Yazid al-Busthomi and Imam Junaid al-Baghdadi (Comparative Study)
No full textThe concept of fana is a concept that developed in the third and fourth centuries hijriyah. A concept of fusion (trance) which later became an experience desired by many Sufism retainers. A Sufistic experience that must be passed and deliver Sufis at the top of the world of Sufism. with the experience that each Sufi feels so that many bring up various differences between one and another, then it also becomes a phenomenon for the fuqoha\u27. Abu Yazid al-Busthomi and Imam Junaid al-Baghdadi were one of the pioneers of the concept of Fana’. With a distinctly different background, between Sufi philosophy and Sunni. So the author takes the initiative and aims to combine the views between the two by examining a character who is balanced against and a character who has many adherents to this day, in order to get a good understanding and similarities or differences in the concept of Fana’\u27. This research uses library research, by means of qualitative analysis. As well as using primary and secondary sources. The results of this study are the concept of Fana’ must be together with the concept of Baqo’, awareness of a person\u27s individuality has disappeared even though his physical form is still there. And to reach the peak of Fana’, the Salikin must leave the nature, character and personality as humans
BRAIN BASIS OF HUMAN SOCIAL INTERACTION: NEUROCOGNITIVE FUNCTIONS AND META-ANALYSIS
No full textSocial interactions, or the reciprocal exchange between socially engaged individuals, plays a central role in shaping human life. Social interactions are fundamental for neurocognitive development, and a key factor contributing to mental and physical health. Despite their importance, research investigating the neurocognitive systems associated with human social interaction is relatively new. Human neuroimaging research has traditionally used approaches that separate the individual from social contexts, thereby limiting the ability to examine brain systems underlying interactive social behavior. More recent work has begun incorporating real-time social contexts, and have implicated an extended network of brain regions associated with social interaction. However, open questions remain about the neurocognitive processes that are critical for social interactions and the brain systems that are commonly engaged. The current dissertation aims to address these gaps in our understanding through a set of studies using computational and data-driven approaches. Study 1 examined the relationship between social interaction and mentalizing, which is the ability to infer the mental states of others that is considered to be critically important for social interactions. Prior work has demonstrated that mentalizing and social interaction elicit brain activity spatially overlapping areas, but spatial overlap is not necessarily indicative of a common underlying process. Thus, Study 1 utilized multivariate approaches to examine the similarity of brain activity patterns associated with mentalizing outside of social contexts and when interacting with a peer (regardless of mentalizing) as a means for inferring a functional relationship between the two. Study 2 investigated brain regions commonly engaged across social interactive contexts using coordinate-based meta-analysis, which is an approach for aggregating findings across neuroimaging literature. This involved an exhaustive search strategy to find fMRI and PET studies that utilize social interactive approaches, and calculated spatial convergence across studies as a means to uncover brain regions that are reliably implicated during social interaction. The results from Studies 1 and 2 offer major advancements for a neuroscientific understanding of social interaction by demonstrating a functional link with mentalizing and through elucidating brain systems that are commonly reported in studies using social interactive approaches
Protect Against Phishing Scams
No full textAbstract: Phishing is an act of luring unsuspecting recipient of a message into revealing information which can be used against the recipient. Email is the most common medium of creating a Phishing attack against individuals and organizations. Phishing is a type of social engineering attempt, usually via emails, designed to trick the recipient. These attacks often result in malicious software getting deployed, steal user data including credentials or financial data, and victimize the entire infrastructure for ransom etc. First step in preventing this attack is to identify what a Phishing attempt is, to report it, and take similar actions for others. The golden rule of prevention is when you are in doubt, do not open that email, download its attachments or click on any hyperlinks inside.
Keywords: Phishing, Spam, Email, Malware, Social Engineering.
Title: Protect Against Phishing Scams
Author: Junaid Jan, Mohammed Mujtaba, Qasim T. Zaidi, Zaki S. Ahmed
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
Vol. 10, Issue 2, April 2022 - June 2022
Page No: 82-86
Research Publish Journals
Website: www.researchpublish.com
Published Date: 07-June-2022
DOI: https://doi.org/10.5281/zenodo.6616588
Paper Download Link (Source)
https://www.researchpublish.com/papers/protect-against-phishing-scamsInternational Journal of Computer Science and Information Technology Research, (IJCSITR), ISSN 2348-1196 (print), ISSN 2348-120X (online), Research Publish Journals (Publisher), Website: www.researchpublish.co
Future projections of temperature-related indices in Prince Edward Island using ensemble average of three CMIP6 models
No full textPrince Edward Island (PEI) is an agricultural province heavily relying on rainfed agriculture. The island has already experienced significant impacts from climate change. Accurate projections of PEI temperature extreme indices are required to mitigate and adapt to the changing climate conditions. This study aims to develop ensemble projections using Coupled Model Intercomparison Project Phase 6 (CMIP6) global circulation models (GCMs) to analyze temperature extremes on PEI. In this study, the ECMWF ERA5 reanalysis dataset was chosen for stepwise cluster analysis (SCA) due to its high accuracy. Three CMIP6 (NorESM2-MM, MPI-ESM1.2-HR, and CanESM5) GCMs, along with their ensemble average, were utilized in the SCA model to project future changes in daily maximum temperature (Tmax) and minimum temperature (Tmin) at four meteorological stations on PEI (East Point, Charlottetown, Summerside, and North Cape) under two shared socioeconomic pathways (SSP2-4.5 and SSP5-8.5). These GCMs were selected based on their low, medium, and high Equilibrium Climate Sensitivity. The bias-corrected results for the future period of Tmax and Tmin showed that the GCM-specific changes in the ECS also impact the regional scale. Additionally, several temperature extreme indices, including the daily temperature range (DTR), summer days (SU), growing degree days (GDD), growing season length (GSL), ice days (ID), and frost days (FD), were analyzed for two future periods: FP1(202–2050) and FP2 (2051–2075). The results indicate that DTR, SU, GDD, and GSL are expected to increase, while ID and FD are projected to decrease during FP1 and FP2 under both scenarios. The future projected mean monthly changes in Tmax, Tmin, and the selected temperature extreme indices highlight warmer future periods and an increase in agriculture-related indices such as GDD and GSL. Specifically, July, August, and September are expected to experience even higher temperatures in the future. As the climate becomes warmer, cold extreme events are projected to be shorter in duration but more intense in terms of their impact. The largest increments/decrements for Tmax, Tmin, and their relevant indices were observed during FP2 under SSP5-8.5. The outcomes of this study provide valuable insights for agricultural development, water resource management, and the formulation of effective mitigation strategies to address the impacts of climate change on PEI.Natural Science and Engineering Research Council of Canadathe New Frontiers in Research Fundthe Government of Prince Edward IslandAtlantic Canada Opportunities AgencyAgriculture and Agri-Food Canad
Contribution of climate extremes to variation in potato tuber yield in Prince Edward Island
No full textAgricultural management practices are responsible for almost two-thirds of the variations in potato tuber yield. In order to answer the research question about the remaining variability of the tuber yield, we hypothesized that climate extremes partly explain the missing component of variations of the tuber yield. Therefore, this research attempts to bridge this knowledge gap in order to generate a knowledge base for future strategies. A climate extreme dataset of the Prince Edward Island (PEI) was computed by averaging the data of five meteorological stations. In detail, changing patterns of 20 climate extreme indices were computed with ClimPACT2 software for 30 years (1989-2018) data of PEI. Statistical significance of the trends and their slope values were determined with the Mann-Kendall test and Sen’s slope estimates, respectively. Average of daily mean temperature (TMm), mean daily minimum temperature (TNm) and the occurrence of continuous dry days (CDD), significantly increased by 0.77 °C, 1.17 °C and 3.33 days., respectively, during the potato growing seasons (May-October) of the past three decades. For this period daily temperature range (DTR), frost days (FD), cold days (TX10p), cold nights (TN10p) and warmest days (TXx) showed decreasing trends of −1.01 °C, −3.75 days, −5.67 days, −11.40 nights, and −2.00 days, respectively. The principal component analysis showed that DTR, TXx, CDD, and TNm were the main factors affecting seasonal variations of tuber yield. The multiple regression model attributed ~39% of tuber yield variance to DTR, TXx, CDD, and TNm. However, these indices explained individually 21%, 19%, 16%, and 4% variation to the tuber yield, respectively. The remaining variation in the tuber yield explained by other yield affecting factors. The information generated from this study can be used for future planning about agricultural management strategies in the Island, for example, the provision of water resources for supplemental irrigation of crops during dry monthsNatural Sciences and Engineering Research Counci
Statistical downscaling and projection of climatic extremes using machine learning algorithms
No full textClimate change impacts all fields of life including agriculture. This study aimed to determine the historical and future climatic variations for the rainfed Prince Edward Island (PEI). Statistical downscaling model (SDSM), and support vector regression (SVR), multilayer perceptron (MLP), and random forest (RF) algorithms were applied to downscale climatic extremes, i.e., daily precipitation, maximum temperature (Tmax), and minimum temperature (Tmin) at 8 meteorological stations across the island for the baseline period (1976–2003). The MLP algorithm was further applied to project the climatic extremes for the future period (2006–2100) under three representative concentration pathways (RCP 2.6, RCP 4.5, and RCP 8.5) due to its better performance. Linear scaling was used to reduce the biases from the outputs of MLP. The annual and seasonal (potato growing season of May to October) outputs revealed that Tmax and Tmin are expected to increase in the future under all the RCPs, with the maximum increment observed for RCP 8.5. The increments in Tmax and Tmin for the growing season were 0.72–5.37 °C and 0.87–5.91 °C, respectively, irrespective of the RCPs. The spatial pattern of average annual precipitation in the growing season showed high (578–966 mm), moderate (558–625 mm), and low (449–664 mm) precipitation at the eastern, central, and western parts of PEI for both baseline and future periods. The highest changes were observed under RCP 8.5 as the warmest climate associated with this scenario. The projected precipitation extreme indices trends are likely to increase in the future. The maximum changes/year were observed under RCP8.5, which are 1.20 days/year for days with heavy precipitation (R10mm), 2.44 days/year for the days with very heavy precipitation (R20mm), 7.60 mm/year for total precipitation from heavy rainy days (R95p), 3.76 mm/year for total precipitation from very heavy precipitation days (R99p), 1.10 days/year for continuous wet days (CWD), and 0.08 mm/day for precipitation intensity (SDII) for a year. The findings of this study will help the farmers and government policymakers to get a clear picture of the climatic variability and strategize to mitigate the climate change impact on the island’s agriculture in the future.Natural Science and Engineering Research Council of Canad
Reimagining teaching mathematics for social “(in)justice” for secondary mathematics teachers
No full textProviding all students with access to rigorous mathematics could be seen as an act of social justice. However, critical scholars suggest we be more explicit and change the curriculum, using mathematics as a tool to analyze the injustices in society and propose math-based solutions. This approach has become the dominant definition of teaching mathematics for social justice (TMSJ). Yet, carrying out such a version requires knowledges, skills, and life experiences that many teachers lack. Without broader definitions of TMSJ, we run the risk of overwhelming novice teachers or limiting versions more experienced teachers might imagine. This paper investigates the views of TMSJ that pre-service secondary mathematics teachers embrace once they have been exposed to a variety of media and individuals.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2021-05-01The student, Gabriela Vargas, accepted the attached license on 2019-03-26 at 12:43.The student, Gabriela Vargas, submitted this Thesis for approval on 2019-03-26 at 12:59.This Thesis was approved for publication on 2019-03-29 at 09:53.DSpace SAF Submission Ingestion Package generated from Vireo submission #13453 on 2019-08-22 at 16:20:30Made available in DSpace on 2019-08-23T20:44:36Z (GMT). No. of bitstreams: 2
VARGAS-THESIS-2019.pdf: 386864 bytes, checksum: aefe061dd93c62f8b6b163529bc2e15b (MD5)
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Previous issue date: 2019-03-29Embargo set by: Seth Robbins for item 112270
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Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 112270
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Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 112270
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Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 112270 on 2021-08-24T09:15:38Z
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