1,205 research outputs found
Talent Attraction in the Automotive Industry: Employer Branding Strategies for Next-Generation Employees
No full textAuthor Syeda Saba Siddique, LL.BMasterarbeit Johannes Kepler Universität Linz 202
Talent Attraction in the Automotive Industry: Employer Branding Strategies for Next-Generation Employees
No full textAuthor Syeda Saba Siddique, LL.BMasterarbeit Johannes Kepler Universität Linz 202
Quantum-driven optical security: a hybrid experimental-computational framework for unclonable authentication
No full textEnsuring secure authentication is a critical challenge in modern security applications. This study presents a novel approach utilizing the photoluminescence (PL) characteristics of non-toxic quantum dots (QDs) to generate unique optical fingerprints. PL measurements capture emission properties, which are processed through computational algorithms to extract distinct security identifiers. The results demonstrate that this method offers highly distinctive and reproducible optical signatures for authentication and anti-counterfeiting applications. By integrating experimental and computational techniques, this approach enhances precision and security. Future work will focus on optimizing stability and scalability for real-world deployment in secure authentication systems
sj-docx-1-wmr-10.1177_0734242X221124069 – Supplemental material for Identification and selection of suitable landfill sites using GIS-based multi-criteria decision analysis in the Peshawar District, Pakistan
No full textSupplemental material, sj-docx-1-wmr-10.1177_0734242X221124069 for Identification and selection of suitable landfill sites using GIS-based multi-criteria decision analysis in the Peshawar District, Pakistan by Iftikhar Ali, Aneeza Islam, Syeda Maria Ali and Syed Adnan in Waste Management & Research</p
Museum and research center for the traditional textiles of Bangladesh
No full textThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Architecture, 2014.Cataloged from PDF version of thesis.Includes bibliographical references (page 97).Syeda Mushda AliB. Architectur
Temporal Parallelization of Inference in Hidden Markov Models
No full textFunding Information: Manuscript received February 10, 2021; revised June 4, 2021 and July 26, 2021; accepted August 4, 2021. Date of publication August 12, 2021; date of current version September 3, 2021. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. N. Dobigeon. This work was supported by Academy of Finland. (Corresponding author: Syeda Sakira Hassan.) Syeda Sakira Hassan and Simo Särkkä are with the Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland (e-mail: [email protected]; [email protected]). Publisher Copyright: © 1991-2012 IEEE.This paper presents algorithms for the parallelization of inference in hidden Markov models (HMMs). In particular, we propose a parallel forward-backward type of filtering and smoothing algorithm as well as a parallel Viterbi-type maximum-a-posteriori (MAP) algorithm. We define associative elements and operators to pose these inference problems as all-prefix-sums computations and parallelize them using the parallel-scan algorithm. The advantage of the proposed algorithms is that they are computationally efficient in HMM inference problems with long time horizons. We empirically compare the performance of the proposed methods to classical methods on a highly parallel graphics processing unit (GPU).Peer reviewe
Clinicians’ perspectives on strategies for suicide prevention in Pakistan: a qualitative inquiry
No full textSuicidal behaviours in Pakistani Urdu television dramas: a 12-year media content analysis
No full textBackground: Pakistani television dramas often depict scenes involving suicide that may affect the psychological wellbeing of viewers. We aimed to examine the effects of suicide depiction in Pakistani television dramas on their viewers. Methods: In April 2023, we searched the YouTube website for Urdu-language television dramas released between 2011 and 2022 that contained scenes of suicidal behaviours (both attempts and completed suicides) using the keywords ‘suicide in Pakistani dramas’. Data extracted included details of the characters involved including age group, sex, role, occupation, religion, and marital status, as well as details of the suicidal behaviours including method, reason/trigger, and place of suicide. Results: In total, 49 incidents of suicidal behaviours from 46 characters in 40 Urdu-language television dramas were included in the analysis. Of the 40 dramas, 42.5% were released in 2021 and 2022, and 57.5% were released between 2011 and 2020. Among the 46 characters with suicidal behaviour, 50.0% were male, 54.3% were young adults, 52.2% were married, 26.1% were housewives, 100% were Muslim, and 34.8% were in a leading role. Of the 49 incidents of suicidal behaviour, 29 were suicide, 19 were suicide attempts, and one was homicide-suicide. Common methods of suicidal behaviour depicted were gun shooting (30.6%), wrist cutting (18.3%), self-poisoning (12.2%), and jumping from height (12.2%). Common reasons for suicidal behaviour were failure in love (24.4%), familial issues (24.4%), and others (26.5%); 69.4% of suicidal behaviour occurred in home. Conclusion: Television dramas with scenes involving suicidal behaviours may negatively affect the general population, particularly adolescents. These scenes should be censored to prevent imitation or identification among vulnerable young people. Television dramas should provide psychoeducational messages to promote help-seeking rather than suicide for emotional problems
Artificial Intelligence (AI) Trends in Dentistry: A Literature Review
No full textGlobal health systems face challenges due to various socio-political factors, and there’s an increased demand for delivering health services efficiently with optimal resources while ensuring patient safety. AI methods support dental professionals in multiple aspects, including reducing chairside time, streamlining procedures, providing effective infection control, and delivering precise and accurate treatments. AI proves effective in-patient diagnosis, aiding clinical decision-making, and predicting dental issues, making it a dependable approach for future applications across different dental fields
Optimization and analysis of WLAN RF energy harvesting system architecture
No full textThis paper presents the design, analysis and optimization of RF energy harvesting system for WLAN source operating at 2.4 GHz and 5.8 GHz. The system architecture comprises of RF WLAN source, wireless channel, an efficient dual band microstrip patch antenna, an impedance matching network, 4-stage voltage rectifier and a storing circuit. Matching network ensures the maximum power transfer from source to load. HSMS-2850 Schottky diodes are used in rectifier design, which provide low forward voltage and low substrate leakage. The proposed system design is used to analyze the effect of distance on RF power obtained at receiving side. The size of storage capacitor is chosen carefully such that it can store sufficient amount of charge and takes reasonable charging time. Moreover, the circuit parameters are varied to optimize the designed circuit that provides the maximum efficiency of 45% and 22% at 2.4 GHz and 5.8 GHz respectively, at a distance of 1 meter from source. Simulated results show that for received RF power of 5 dBm the system can provide 1.3 mW power across 10 kΩ load, which can be enough to energize the low power devices. The voltage supplied by the harvesting system can be increased further by increasing the number of stages in voltage rectifier according to the application but at the cost of parasitic loss.TUBITA
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