459 research outputs found
LTC-SUM: Lightweight Client-driven Personalized Video Summarization Framework Using 2D CNN
No full textFeature engineering techniques to classify cause of death from forensic autopsy reports / Ghulam Mujtaba
Full text linkForensic autopsy focuses on revealing the cause of death (CoD) by examining a dead body. This process is performed by medical pathologists during the investigation of criminal and civil law cases. In forensic autopsy, pathologists examine corpses externally and anatomically to collect autopsy findings. Moreover, these experts collect the history of the deceased and death scene-related information from the deceased’s relatives and eyewitnesses. Afterward, the pathologists determine the CoD through their expert knowledge while correlating the current autopsy findings with previous autopsy reports. Therefore, determining the CoD from autopsy findings is laborious, time consuming, and subject to inconsistencies associated with any labor-intensive process. Hence, automated text classification (ATC) techniques must be employed to overcome the aforementioned issues in determining the CoD. This study aimed to employ ATC techniques to classify the CoD from forensic autopsy reports. In the ATC technique, feature engineering is a highly important step because the success or failure of any ATC model is heavily dependent on the quality of the features used in the classification task. In ATC, the traditional feature engineering techniques include bag of words (BoW) and n-gram. This study argues that BoW and its variant techniques are inadequate in determining the CoD from forensic autopsy reports because these techniques ignore word-order, word-context, and word-level synonymy and polysemy. To overcome the aforementioned issues of BoW and its variant techniques, this study aimed to achieve the following four main objectives. First, this work intended to investigate the existing feature engineering techniques to classify free-text clinical reports, including forensic autopsy reports. Second, this study aimed to develop semi-automated expert-driven feature engineering to overcome the issue of word-level synonymy and polysemy. Third, this research sought to propose a fully automated conceptual graph-based feature engineering technique to address issues in word-order and word-context. Finally, this work intended to evaluate the proposed techniques by comparing their performances with existing baseline techniques. For the experimental evaluation, forensic autopsy reports of 16 different CoDs were obtained from a very large hospital in Kuala Lumpur, Malaysia. These reports were preprocessed by applying various text preprocessing techniques. The discriminative features were then extracted from the preprocessed reports through the proposed feature engineering techniques and formed numeric master feature vectors. These master feature vectors were fed as input to six machine learning algorithms to construct and evaluate the classification models. Furthermore, to show the effectiveness of the proposed techniques, this study compared their performances with five state-of-the-art baseline feature engineering techniques. Experimental results showed that the proposed techniques outperformed the traditional BoW and its variant techniques. Moreover, support vector machines and random forest algorithms outperformed the four other algorithms. The proposed techniques are feasible and practical in determining the CoD from forensic autopsy reports and can assist pathologists to accurately and rapidly determine the CoD from autopsy findings. Finally, the proposed techniques are generally applicable to other kinds of free-text clinical reports
Does CEO guilt influence the adoption of employee welfare practices?
No full textThis study examines the role of CEOs' guilt in adopting employee welfare practices (EWP). Using the context of privatization that is associated with large-scale layoffs, we argue that witnessing the distress of laid-off workers and their families causes CEOs to experience guilt for not doing enough to alleviate their suffering. The guilt, in turn, drives CEOs to engage in remedial actions of restitution that reflect positively on employee-related practices. We find support for our idea in a sample of newly privatized firms from 31 countries. Our results show that CEOs' guilt positively influences the adoption of EWP among newly privatized firms. This effect is stronger in countries with collectivistic orientation and higher unemployment rates. Our findings suggest CEOs' values and emotions play an important role in business decisions concerning their employees. This perspective challenges the conventional view of business decisions as purely rational and profit-driven, highlighting the importance of ethical and emotional considerations in decision-making
Mirza Athar Baig’s novel “Ghulam Bhag” and Post Colonialism Discourse : Mirza Athar Baig’s novel “Ghulam Bhag” and Post Colonialism Discourse
No full textGhulam Bagh is an important novel created in the Post-Colonial period in which Mirza Athar Baig has presented the intellectual and mental attitudes of this era.We can say that Post-Colonial literature refers to the literary texts that are created in the former colonies of Europe. In these writings, the background of Post-Colonialism and the background of Colonialism are presented in a literary Perspective. Post-Colonial literature shows an attempt to understand, examine and describe the feelings and experiences of those belonging to the former colonies. Mirza Athar Baig\u27s novel Ghulam Bagh was published in 2006 and six editions have been published so far. Ghulam Bagh is a masterpiece novel of fictional literature created in the former British colonial Pakistan, There are also characters living in the Post-Colonial era. Each character shows change, evolution and conflict. Ghulam Bagh is an imaginary place in terms of archeology. If we examine the title of the novel in a broader context, Ghulam Bagh is a metaphor for the desire of western nations to dominate the inferior, weak and noble races of the world. Is based on desire. In this paper, the novel will be studied in the Post-Colonial context to find out how far the author has succeeded in recovering the Colonial discourse.
 
كوفيد-19 خلق الفرص من الأزمات لطلاب الصيدلة: نقاش من حول العالم
No full textQatar University’s College of Pharmacy (QU-CPH) and Qatar Pharmacy Undergraduate Society (QPhUS) conducted a webinar entitled “ COVID-19 Creating Opportunities from a Crisis for Pharmacy Students: Discussion from Around the Globe”. The event was held successfully via WebEx platform with more than 100 attendees from around the world and more than 300 views on YouTube.
Speakers at the event included student leaders and members of pharmacy associations that are part of the International Pharmaceutical Students' Federation. They were: Hend Al-Naimi, QPhUS President and CPH fourth professional year student;. Ghulam Mujtaba, Member of Pakistan Pharmaceutical Students’ Federation (PPHSF);. Wafa Othman Member of Palestinian Pharmaceutical students’ federation An-Najah National University (PSFNNU); Melissa Kieley, Canadian Association of Pharmacy student and Interns Contact Person (CAPSI); and Ismail Jomha, Vice president chairperson of the Professional Development Committee at the Lebanese Pharmacy Students’ Association (LPSA). The webinar aimed to share the different experiences by pharmacy students around the world and how pharmacy students around the globe created new stories of success despite the unprecedented circumstances the world is facing
[Retracted] The Prototype of the Reading Learning Application uses Animated images on Android with the Black Box Testing Method
No full textThis article has been withdrawn by the author (Ghulam Asrofi Buntoro) via WhatsApp message (+62 852-3507-????) on 20 August 2021 at 14:23. He stated that the article "The Prototype of the Reading Learning Application uses Animated images on Android with the Black Box Testing Method" written by Ghulam Asrofi Buntoro, Indah Puji Astuti, and Dwiyono Ariyadi had been published in another journal. Artikel ini telah ditarik kembali oleh penulis (Ghulam Asrofi Buntoro) melalui pesan WhatsApp (+62 852-3507-????) pada tanggal 20 Agustus 2021 jam 14:23. Dia menyatakan bahwa artikel dengan judul "The Prototype of the Reading Learning Application uses Animated images on Android with the Black Box Testing Method" yang ditulis oleh Ghulam Asrofi Buntoro, Indah Puji Astuti, dan Dwiyono Ariyadi telah diterbitkan di jurnal lain
Growth Factors and Neuroglobin in Astrocyte Protection Against Neurodegeneration and Oxidative Stress (vol 56, pg 2339, 2019)
No full textPublisher Copyright: © 2018, Springer Science+Business Media, LLC, part of Springer Nature.The original version of this article unfortunately contained a typo error. The name of author “Ghulam Md Ashrad” should be written as “Ghulam Md Ashraf”. The authors hereby correct the name as displayed above
Identification of networked tunnelled applications
Full text linkIn protocol tunnelling, one application protocol is encapsulated within another carrier protocol in an unusual way to circumvent firewall policy. Application-layer tunnels are a significant security and resource abuse threat for networks because those applications which are restricted by firewalls such as high data-rate games, peer-to-peer file sharing, video and audio streaming, and chat are carried through via allowed protocols like HTTP, HTTPS and the firewall security policy is thwarted. Protocols such as HTTP and HTTPS are indispensable today for any network which has to be connected to the Internet; hence these become a high value target for running restricted applications via tunnelling. The identification of the actual application running across a network is important for network management, optimization, security and abuse prevention. The existing techniques for identification of applications running across the network, for example port number based identification, and packet data analysis techniques are not always successful, especially for applications which use encrypted tunnels. This work describes a statistical approach to detect applications which are running using application layer tunnels. Previous work has shown the packet size distribution to be an effective metric for detecting most network applications, both UDP and TCP based applications. In this work it is shown how packet stream statistics including packet size distributions can be used to differentiate and identify networked tunnelled applications successfully. Tunnelled applications are identifiable using the traffic statistical parameters. Traffic trace files of the applications were captured, statistical parameters were derived from the trace files, and then these parameters were used for training machine learning algorithms. The trained machine learning algorithm is then able to classify the other packet trace data as belonging to an application. Five different machine learning algorithms have been applied, and their performance accuracy is discussed. The entropy distance based Nearest Neighbour machine learning algorithm and the Euclidean Distance based Nearest Neighbour classifier had better results than others. This method of identification of tunnelled applications can be complimentary to other network security systems such as firewalls and Intrusion Detection Systems.EThOS - Electronic Theses Online ServiceGBUnited Kingdo
Correction to : Growth Factors and Neuroglobin in Astrocyte Protection Against Neurodegeneration and Oxidative Stress (Molecular Neurobiology, (2019), 56, 4, (2339-2351), 10.1007/s12035-018-1203-9)
No full textPublisher Copyright: © 2018, Springer Science+Business Media, LLC, part of Springer Nature.The original version of this article unfortunately contained a typo error. The name of author “Ghulam Md Ashrad” should be written as “Ghulam Md Ashraf”. The authors hereby correct the name as displayed above
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