255 research outputs found
The Life of Hedonism from the Perspective of Al-Tabari and Sayyid Muhammad Rashid Rida (Comparative Study of Tafsir Surah Ali Imran: 14)
No full textThe Qur'an not only tells us about prohibitions and commands, but also talks about the problems of the lives of previous people. Among them are illustrated by the human lifestyle that prioritizes pleasure and physical luxury. Based on the hedonistic lifestyle, it certainly has 'ibrah that can be learned if an in-depth study of the life of hedonism is carried out. The author wants to examine the life of hedonism from the perspective of al-Tabari and Sayyid Muhammad Rasyid Rida. This paper uses a qualitative approach that is classified into library research with library materials, especially Jami' al-Bayan fi Ta'wil Ayi al-Qur'an and Tafsir al-Manar and uses comparative data analysis. The conclusion in this paper is that the life of hedonism according to al-Tabari and Sayyid Muhammad Rasyid Rida is an excessive human lifestyle and indulges in lust in reaching the pleasures of the world. The similarities and differences according to these two mufassirs are almost the same in interpreting the life of hedonism in surah Ali Imran verse 14 that Allah SWT makes beautiful in human views of the pleasures of the world, namely women, children, large assets of gold and silver, selected horses, livestock and rice fields. Sayyid Muhammad Rasyid Rida besides agreeing with Imam al-Tabari, he added that human love for the beauty and pleasure of the world is not only specific to the Jews, but is general
Developing domain-specific mashup tools for end users
No full textThe recent emergence of mashup tools has refueled research on end user development, i.e., on enabling end users without programming skills to compose own applications. Yet, similar to what happened with analogous promises in web service composition and business process management, research has mostly focused on technology and, as a consequence, has failed its objective. Plain technology (e.g., SOAP/WSDL web services) or simple modeling languages (e.g., Yahoo! Pipes) don't convey enough meaning to non-programmers. We propose a domain-specific approach to mashups that "speaks the language of the user", i.e., that is aware of the terminology, concepts, rules, and conventions (the domain) the user is comfortable with. We show what developing a domain-specific mashup tool means, which role the mashup meta-model and the domain model play and how these can be merged into a domain-specific mashup meta-model. We apply the approach implementing a mashup tool for the research evaluation domain. Our user study confirms that domain-specific mashup tools indeed lower the entry barrier to mashup development. Copyright is held by the author/owner(s)
The application of Shari’ah and international human rights law in Saudi Arabia
No full textThis thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel UniversityThe present dissertation provides an analytical and comparative study of the application of Islamic law (Shari’ah) and international human rights law in the Kingdom of Saudi Arabia. It provides an analysis of the sources of Islamic law as well as the sources of international law to set the background for analysis and defines the nature of both laws. It also tackles the subject of the domestic application of international human treaties in Saudi Arabia.
In addition, it examines some reservations Saudi Arabia has entered to some of the international human rights treaties it has ratified, specifically the Convention on the Elimination of All Forms of Discrimination against Women (CEDAW) and the Convention on the Rights of the Child (CRC). It also sheds some light on the political, cultural and religious obstacles to the realisation of norms protected by international human rights treaties in the country, and in other countries for that matter, clearly stating the impossibility of implementing the provisions of the international human rights treaties in their entirety. This is due to the various political and legal developments towards the internationalization of the concept of human rights. It observes that despite the existence of the international human rights treaties, which aim at reinforcing a universal realisation of international human rights, these rights cannot be possibly realised by all countries.
To stress the importance Saudi Arabia attaches to the issue of human rights, the dissertation discusses some rights of women before Saudi courts in family matters, an issue which has been criticised by some international human rights treaties, and examines to what extent the country has managed to tackle the issue of domestic violence, particularly violence against women. It provides an overview of the major causes of domestic violence against women in Saudi Arabia, presents some cases of domestic violence before Saudi courts and sheds some light on the measures taken by the Saudi government to combat domestic violence against women. It also tackles this issue both in the international and domestic legal frameworks, clearly stating the Islamic standpoint on the issue, namely that Islamic law, and Saudi Arabia for that matter, whose laws are essentially derived from the two main sources of Shari’ah. It also discusses the common forms of violence against women in Saudi Arabia and suggests a number of recommendations towards more effective protection of women against violence in the country.
The dissertation concludes by presenting a number of obstacles in the way of executing judicial decisions in the Kingdom as well as the obstacles which negatively affect the performance of the new code of law practice. It also presents some recommendations concerning personal status law obstacles and hindrances to progress and attempts to answer the research questions it has posed
Retraction Note: Refining Parkinson’s neurological disorder identification through deep transfer learning (Neural Computing and Applications, (2020), 32, 3, (839-854), 10.1007/s00521-019-04069-0)
No full textThe Editor-in-Chief and the publisher have retracted this article. The article was submitted to be part of a guest-edited issue. An investigation by the publisher found a number of articles, including this one, with a number of concerns, including but not limited to compromised editorial handling and peer review process, inappropriate or irrelevant references or not being in scope of the journal or guest-edited issue. Based on the investigation's findings the Editor-in-Chief therefore no longer has confidence in the results and conclusions of this article. The authors Imran Razzak and Saeeda Naz disagree with this retraction. The author Muhammad Imran has not responded to correspondence regarding this retraction. The Publisher has not been able to obtain a current email address for the authors Amina Naseer, Monail Rani, and Guandong Xu
Système multiprocesseur à base de réseau sur puce destiné au traitement de la radio logicielle et la radio cognitive
No full textSoftware Defined Radio (SDR) and Cognitive Radio (CR) are entering mainstream. These high performance and high adaptability requiring devices with agile frequency operations hold promise to :1. address the inconsistency between hardware and software advancements, 2. real time mode switching from one radio configuration to another and3. efficient spectrum management in under-utilized spectrum bands. Framed within this statement, in this thesis we have implemented a SDR waveform on 16 Processing Element (PE) Network on chip (NoC) based general purpose Multiprocessors System on chip (MPSoC), with access to four external DDR2 memory banks, which is implemented on a single chip Xilinx Virtex-4 FPGA. We shifted short term development of a waveform into software domain by designing an efficient parallelization and synchronization strategy for each waveform component, individually. We enhance our designed waveform functionality by proposing and implementing three Artificial Neural Networks Schemes : Self Organizing Maps, Linear Vector Quantization and Multi-Layer Perceptrons as effective techniques for reconfiguring CR Transceiver after recognizing the specific standard based on input parameters, pertaining to different layers, extracted from the signal. Our proposed adaptive solution switches to appropriate Artificial Neural Network, based on the features of input signal sensed. We designed an efficient synchronization and parallelization strategy to implement the Artificial Neural Networks based CR Transceiver Algorithms on the aforementioned MPSoC chip. The speed up we obtained for our SDR waveform and CR Transceiver algorithms demonstrated that the general purpose MPSoC devices are the most efficient answer to the acquisition challenge for major organizations that invest or plan to invest in SDR and CR based devices, thereby allowing us to avoid expensive hardware accelerators. We address the case of a complex signal composed of many modulated carriers by dividing the PEs in individual groups, thus received signal with more than one Standard is processed efficiently. We add further functionality in our designed Multi-standard CR Transceiver possessing SDR Waveform by proposing a new approach for radio spectrum management, perhaps the most important aspect of CR. We make our designed waveform Spectrum efficient by modelling the primary user signal Radio Frequency features as a multivariate time series, which is then given as input to Elman Recurrent Neural Network that predicts the evolution of Radio Frequency Time Series to decide if the secondary user can exploit the Spectrum band. We exploit the inherent cyclostationary in primary signals for Non-linear Autoregressive Exogenous Time Series Modeling of Radio Frequency features, as predicting one RF feature needs the previous knowledge of other relevant RF features. We observe a similar trend between predicted and actual values. Ensemble, our designed Spectrum Efficient SDR waveform with a Universal Multi-standard Transceiver answers the SDR and CR performance requirements under resource constraints by efficient algorithm design and implementation using lateral thinking that seeks a greater cross-domain interactionLa Radio Logicielle (SDR : Software Defined Radio) et la Radio Cognitive (CR : Cognitive Radio) deviennent d'un usage courant car elles répondent à plusieurs enjeux technico-économiques majeurs dans le domaine des télécommunications. Ces systèmes radio permettent de combler l'écart de développement technologique qui existe entre la partie matérielle et la partie logicielle des systèmes de communication, en permettant la gestion optimale des bandes de fréquences sous-utilisées par la commutation en temps réel d'une configuration radio à une autre. Dans ce cadre, cette thèse présente la mise en œuvre d'une chaîne de traitements Radio Logicielle (appelée SDR waveform) dans un Système Multiprocesseurs sur Puce (MPSoC) à usage général (implémenté dans un FPGA de type Xilinx Virtex-4). Cette plateforme est basée autour d'un Réseau sur Puce (NoC) interconnectant 16 processeurs élémentaires (appelés PE) disposant de quatre blocs-mémoires externes DDR2. Nous avons proposé des implémentations temps réel et embarquées sur MPSoC de différentes briques de traitements d'une chaîne SDR, en concevant une stratégie efficace de parallélisation et de synchronisation pour chaque composante élémentaire de la « waveform ». Nous avons amélioré la fonctionnalité de la chaîne de traitement Radio Logicielle, en intégrant un Transceiver reconfigurable basé sur différents modèles de Réseaux de Neurones Artificiels (RNA) : les Cartes Auto-Organisatrices (SOM), les Réseaux de Neurones Compétitifs (LVQ) et enfin les Réseaux Multi-Couches de Perceptrons (MLP). Ces trois RNA permettent la reconnaissance de la norme spécifique basée sur les paramètres d'entrée extraits du signal et la reconfiguration du Transceiver de CR. La solution adaptative que nous avons proposée commute vers le RNA le plus approprié en fonction des caractéristiques du signal d'entrée détecté. Il est important de pouvoir prendre en compte des signaux complexes et multi-porteuses. Dans ce cadre, nous avons adressé le cas d'un signal complexe composé de plusieurs porteuses, ainsi en divisant les PEs en différents groupes indépendants, nous affectons chaque groupe de PEs au traitement d'une nouvelle porteuse. Nous avons conçu une stratégie efficace de synchronisation et de parallélisation de ces trois RNA pour CR Transceiver. Nous l'avons appliquée, par la suite pour l'implantation de nos algorithmes sur le MPSoC déjà cité. L'accélération que nous obtenons pour la SDR waveform et pour les algorithmes de Transceiver de CR démontre que les MPSoC à usage général sont une réponse pertinente, entre autres, aux contraintes de performances sur une telle plateforme. Le système que nous proposons apporte une réponse aux défis technico-économiques des grandes entreprises qui investissent ou prévoient d'investir dans des équipements basés sur des SDR ou des CR, puisqu'il permet d'éviter de recourir à des équipements d'accélération coûteux. Nous avons, par la suite, ajouté d'autres fonctionnalités à notre waveform avec un « CR Transceiver multinormes », en proposant une nouvelle approche pour la gestion du spectre radio. Ceci étant l'aspect le plus important de CR. Nous rendons ainsi notre waveform spectralement efficace en modélisant les caractéristiques radiofréquences (RF) du signal utilisateur primaire sous la forme d'une série temporelle multi-variée. Cette série temporelle est ensuite fournie comme entrée dans un Réseau de Neurones Récurrent d'Elman (ERNN) qui prédit l'évolution de la série temporelle de RF pour déterminer si l'utilisateur secondaire peut exploiter la bande de fréquences. Nous avons exploité la cyclo-stationnarité inhérente des signaux primaires pour la Modélisation Non-Linéaire Autorégressive Exogène (NARX : Non-linear AutoRegressive Exogenous) des séries temporelles des caractéristiques RF, car la prédiction d'une caractéristique RF demande d'abord de connaître les autres caractéristiques radios pertinentes. Nous avons observé une tendance similaire pour les valeurs prédites et observées. En résumé, nous avons proposé des algorithmes pour SDR waveform à efficacité spectrale avec un Transceiver Universel, ainsi que leurs implantations parallèles sur MPSoC. Notre conception de waveform répond aux exigences en performances et aux contraintes de ressources embarquées des applications dans le domain
The Second Chapter of a Volume
No full textThis is a handwritten copy by one of the followers of Al Hajj Umar Taal. It is a copy of a book originally written by Muhammad bun Muhammad bun Al-Masrī. The place of writing is not mentioned. The manuscript is the second volume of a previous volume. The content of the manuscript is diverse. It discusses two types of love. Part one covers love of the truth (haqiqa) towards God's creation. Transcendental truth. Part two is the love for the loved one (Muhammad or another person) and love for women in the Islamic religious sense. Part 3 discusses the importance of spreading the Qur'anic speech towards converting people. Part 4 deals with the ways to differentiate a clean soul ('ruuhu laabdo'). In part four's discussion, the author pulls from the Qur'an and Hadith. Part 5 deals with how to remove confusion and to establish truth. Part 6 teaches life lessons inspired from Islam's model women such as Fatimah bint Rasoul, Mariam bint Imran, Assietu binti Muzahim, Khadija, and Aicha.Il s'agit d'une copie manuscrite d'un des disciples d'Al Hajj Umar Taal. Il s'agit d'une copie d'un livre écrit à l'origine par Muhammad bun Muhammad bun Al-Masrī. Le lieu d'écriture n'est pas mentionné. Le manuscrit est le deuxième volume d'un volume précédent. Le contenu du manuscrit est varié. Il discute de deux types d'amour. La première partie couvre l'amour de la vérité (haqiqa) envers la création de Dieu. Vérité transcendantale. La deuxième partie est l'amour pour l'être cher (Muhammad ou une autre personne) et l'amour pour les femmes au sens religieux islamique. La partie 3 discute de l'importance de diffuser le discours coranique pour convertir les gens. La quatrième partie traite des moyens de différencier une âme propre («ruuhu laabdo»). Dans la discussion de la quatrième partie, l'auteur s'inspire du Coran et du Hadith. La partie 5 traite de la façon d'éliminer la confusion et d'établir la vérité. La partie 6 enseigne des leçons de vie inspirées des femmes modèles de l'islam telles que Fatimah bint Rasoul, Mariam bint Imran, Assietu binti Muzahim, Khadija et Aicha
Quantum-Resistant Security Framework for Secure and Scalable IoT-enabled Metaverse Environments
No full textIn an era where securing Internet of Things (IoT) devices within Metaverse environments is increasingly critical, existing frameworks often lack robust, quantum-resistant protection suitable for resource-constrained devices. This study aims to develop a comprehensive quantum-resistant security framework designed for IoT-enabled Metaverse applications. Our multilayered architecture incorporates Ideal Coset Lattice Cryptography (ICLC) and a Hypercomplex Multivariate Encryption Scheme (HMES) across the Device, Network, and Metaverse layers. ICLC provides lightweight, quantum-resistant encryption for devices with limited computational resources, while HMES enhances security through complex algebraic structures resistant to quantum attacks. We implement a Zero-Knowledge Proof Authentication mechanism over Hypercomplex Algebras (ZKPHA) to authenticate devices without exposing private keys. An edge computing strategy that employs convex optimization minimizes latency and computational load, ensuring scalability and efficiency. Simulations over a 260-minute period compared our framework with six state-of-the-art methods under various conditions. The results show that our framework reduces the rate of successful cyberattacks on encrypted data to 0.15%, achieves encryption and decryption times of 2.2 milliseconds per operation, and maintains 98.5% system availability during attacks
Système multiprocesseur à base de réseau sur puce destiné au traitement de la radio logicielle et la radio cognitive
No full textSoftware Defined Radio (SDR) and Cognitive Radio (CR) are entering mainstream. These high performance and high adaptability requiring devices with agile frequency operations hold promise to :1. address the inconsistency between hardware and software advancements, 2. real time mode switching from one radio configuration to another and3. efficient spectrum management in under-utilized spectrum bands. Framed within this statement, in this thesis we have implemented a SDR waveform on 16 Processing Element (PE) Network on chip (NoC) based general purpose Multiprocessors System on chip (MPSoC), with access to four external DDR2 memory banks, which is implemented on a single chip Xilinx Virtex-4 FPGA. We shifted short term development of a waveform into software domain by designing an efficient parallelization and synchronization strategy for each waveform component, individually. We enhance our designed waveform functionality by proposing and implementing three Artificial Neural Networks Schemes : Self Organizing Maps, Linear Vector Quantization and Multi-Layer Perceptrons as effective techniques for reconfiguring CR Transceiver after recognizing the specific standard based on input parameters, pertaining to different layers, extracted from the signal. Our proposed adaptive solution switches to appropriate Artificial Neural Network, based on the features of input signal sensed. We designed an efficient synchronization and parallelization strategy to implement the Artificial Neural Networks based CR Transceiver Algorithms on the aforementioned MPSoC chip. The speed up we obtained for our SDR waveform and CR Transceiver algorithms demonstrated that the general purpose MPSoC devices are the most efficient answer to the acquisition challenge for major organizations that invest or plan to invest in SDR and CR based devices, thereby allowing us to avoid expensive hardware accelerators. We address the case of a complex signal composed of many modulated carriers by dividing the PEs in individual groups, thus received signal with more than one Standard is processed efficiently. We add further functionality in our designed Multi-standard CR Transceiver possessing SDR Waveform by proposing a new approach for radio spectrum management, perhaps the most important aspect of CR. We make our designed waveform Spectrum efficient by modelling the primary user signal Radio Frequency features as a multivariate time series, which is then given as input to Elman Recurrent Neural Network that predicts the evolution of Radio Frequency Time Series to decide if the secondary user can exploit the Spectrum band. We exploit the inherent cyclostationary in primary signals for Non-linear Autoregressive Exogenous Time Series Modeling of Radio Frequency features, as predicting one RF feature needs the previous knowledge of other relevant RF features. We observe a similar trend between predicted and actual values. Ensemble, our designed Spectrum Efficient SDR waveform with a Universal Multi-standard Transceiver answers the SDR and CR performance requirements under resource constraints by efficient algorithm design and implementation using lateral thinking that seeks a greater cross-domain interactionLa Radio Logicielle (SDR : Software Defined Radio) et la Radio Cognitive (CR : Cognitive Radio) deviennent d'un usage courant car elles répondent à plusieurs enjeux technico-économiques majeurs dans le domaine des télécommunications. Ces systèmes radio permettent de combler l'écart de développement technologique qui existe entre la partie matérielle et la partie logicielle des systèmes de communication, en permettant la gestion optimale des bandes de fréquences sous-utilisées par la commutation en temps réel d'une configuration radio à une autre. Dans ce cadre, cette thèse présente la mise en œuvre d'une chaîne de traitements Radio Logicielle (appelée SDR waveform) dans un Système Multiprocesseurs sur Puce (MPSoC) à usage général (implémenté dans un FPGA de type Xilinx Virtex-4). Cette plateforme est basée autour d'un Réseau sur Puce (NoC) interconnectant 16 processeurs élémentaires (appelés PE) disposant de quatre blocs-mémoires externes DDR2. Nous avons proposé des implémentations temps réel et embarquées sur MPSoC de différentes briques de traitements d'une chaîne SDR, en concevant une stratégie efficace de parallélisation et de synchronisation pour chaque composante élémentaire de la « waveform ». Nous avons amélioré la fonctionnalité de la chaîne de traitement Radio Logicielle, en intégrant un Transceiver reconfigurable basé sur différents modèles de Réseaux de Neurones Artificiels (RNA) : les Cartes Auto-Organisatrices (SOM), les Réseaux de Neurones Compétitifs (LVQ) et enfin les Réseaux Multi-Couches de Perceptrons (MLP). Ces trois RNA permettent la reconnaissance de la norme spécifique basée sur les paramètres d'entrée extraits du signal et la reconfiguration du Transceiver de CR. La solution adaptative que nous avons proposée commute vers le RNA le plus approprié en fonction des caractéristiques du signal d'entrée détecté. Il est important de pouvoir prendre en compte des signaux complexes et multi-porteuses. Dans ce cadre, nous avons adressé le cas d'un signal complexe composé de plusieurs porteuses, ainsi en divisant les PEs en différents groupes indépendants, nous affectons chaque groupe de PEs au traitement d'une nouvelle porteuse. Nous avons conçu une stratégie efficace de synchronisation et de parallélisation de ces trois RNA pour CR Transceiver. Nous l'avons appliquée, par la suite pour l'implantation de nos algorithmes sur le MPSoC déjà cité. L'accélération que nous obtenons pour la SDR waveform et pour les algorithmes de Transceiver de CR démontre que les MPSoC à usage général sont une réponse pertinente, entre autres, aux contraintes de performances sur une telle plateforme. Le système que nous proposons apporte une réponse aux défis technico-économiques des grandes entreprises qui investissent ou prévoient d'investir dans des équipements basés sur des SDR ou des CR, puisqu'il permet d'éviter de recourir à des équipements d'accélération coûteux. Nous avons, par la suite, ajouté d'autres fonctionnalités à notre waveform avec un « CR Transceiver multinormes », en proposant une nouvelle approche pour la gestion du spectre radio. Ceci étant l'aspect le plus important de CR. Nous rendons ainsi notre waveform spectralement efficace en modélisant les caractéristiques radiofréquences (RF) du signal utilisateur primaire sous la forme d'une série temporelle multi-variée. Cette série temporelle est ensuite fournie comme entrée dans un Réseau de Neurones Récurrent d'Elman (ERNN) qui prédit l'évolution de la série temporelle de RF pour déterminer si l'utilisateur secondaire peut exploiter la bande de fréquences. Nous avons exploité la cyclo-stationnarité inhérente des signaux primaires pour la Modélisation Non-Linéaire Autorégressive Exogène (NARX : Non-linear AutoRegressive Exogenous) des séries temporelles des caractéristiques RF, car la prédiction d'une caractéristique RF demande d'abord de connaître les autres caractéristiques radios pertinentes. Nous avons observé une tendance similaire pour les valeurs prédites et observées. En résumé, nous avons proposé des algorithmes pour SDR waveform à efficacité spectrale avec un Transceiver Universel, ainsi que leurs implantations parallèles sur MPSoC. Notre conception de waveform répond aux exigences en performances et aux contraintes de ressources embarquées des applications dans le domain
Stereotip dan fitnah terhadap wanita dalam Al-Quran: Analisis tafsir Al-Azhar terhadap surat Ali Imran ayat 14 dan surat Yusuf ayat 23-24
No full textINDONESIA:
Skripsi ini mencoba mengangkat permasalahan masih adanya asumsi dalam masyarakat terhadap Stereotip dan fitnah wanita yang memposisikan mereka sebagai subordinasi, marginal, diskriminalisasi,sumber fitnah dan nafsu. Kedatangan Islam yang dibawa oleh Rasulullah Muhammad SAW, merupakan agama kasih sayang yang dalam ajarannya perempuan merupakan sosok yang dimuliakan. Penelitian ini bermaksud menjelaskan makna dan konteks stereotip dan fitnah terhadap wanita dalam Surat Ali Imran Ayat 14 dan Surat Yusuf Ayat 23-24 dalam Tafsir al-Azhar serta implikasi penafsiran ayat-ayat tersebut terhadap pemahaman masyarakat tentang peran dan kedudukan wanita.
Dalam penelitian penulis menggunakan jenis Penelitian Normatif (library research) dengan pendekatan kualitatif melalui kajian historis,konseptual dan interpretatif. Hasil penelitian ini penulis menyimpulkan bahwa Hamka salah satu mufassir Indonesia dalam Tafsir al-Azhar menjelaskan pada Q.S Ali Imran ayat 14 konteks stereotip wanita dengan sebutan an-nisa` merupakan makhluk diciptaan Allah yang menarik dan menjadi sosok yang disukai lawan jenisnya yakni laki-laki. Sedang wanita yang digambarkan pada Q.S Yusuf Ayat 23-24 pada hakekatnya makhluk secara fitrah memang memiliki hasrat nafsu terhadap lawan jenis dengan kondisi psikologisnya mengawali rayuan sebagaimana digambarkan dalam kisah Yusuf dan istri Raja.
Pemahaman tafsiran ayat tersebut bukanlah bermaksud mengintervensi wanita sebagai sumber fitnah atau nafsu, ditegaskan bahwa laki-laki dan perempuan mempunyai potensi sang sama dalam hal itu, namun masing-masing seharusnya menjaga kehormatan dengan menggunakan akal sehat dan tetap memegangi aturan agama.
ENGLISH:
This thesis tries to raise the problem of the existence of assumptions in society regarding Stereotypes and slander of women that position them as subordinate, marginal, discriminated against, sources of slander and lust. The arrival of Islam brought by the Prophet Muhammad SAW, is a religion of compassion in whose teachings women are glorified figures. This study aims to explain the meaning and context of stereotypes and slander against women in Surah Ali Imran Verse 14 and Surah Yusuf Verse 23-24 in Tafsir al-Azhar and the implications of interpreting these verses on society's understanding of the role and position of women.
In this study, the author used the type of Normative Research (library research) with a qualitative approach through historical, conceptual and interpretative studies. The results of this study, the author concluded that Hamka, one of the Indonesian mufassirs in Tafsir al-Azhar, explained in Q.S Ali Imran verse 14 the context of the stereotype of women with the term an-nisa` is a creature created by Allah who is attractive and becomes a figure that is liked by the opposite sex, namely men. While women described in Q.S Yusuf Verse 23-24 are essentially creatures who by nature have lust for the opposite sex with their psychological condition initiating seduction as described in the story of Yusuf and the King's wife.
Understanding the interpretation of this verse is not intended to intervene in women as a source of slander or lust, it is emphasized that men and women have the same potential in this regard, but each should maintain their honor by using common sense and still adhering to religious rules.
ARABIC:
تحاول هذه الرسالة إثارة قضية الافتراضات المستمرة في المجتمع فيما يتعلق بالصور النمطية والافتراءات على المرأة والتي تضعها في موضع تابع، هامشي، معرض للتمييز، ومصدر للافتراء والشهوة. إن وصول الإسلام الذي جاء به النبي محمد صلى الله عليه وسلم، هو دين المحبة الذي كانت المرأة فيه شخصية عظيمة في تعاليمه. يهدف هذا البحث إلى توضيح معنى وسياق الصور النمطية والافتراء على المرأة في سورة آل عمران الآية ١٤ وسورة يوسف الآيتين ٢٣- ٢٤في تفسير الأزهر وكذلك انعكاسات تفسير هذه الآيات على فهم المجتمع لدور المرأة ومكانتها.
في هذا البحث استخدم المؤلف أسلوب البحث المعياري (البحث المكتبي) بمنهج نوعي من خلال الدراسات التاريخية والمفاهيمية والتفسيرية. وتوصلت نتائج هذه الدراسة إلى أن حمكة، أحد المترجمين الإندونيسيين في تفسير الأزهر، يشرح في سورة آل عمران الآية ١٤ أن سياق الصورة النمطية للمرأة التي يطلق عليها اسم النساء هي مخلوق خلقه الله جذاب وشخصية محبوبة من الجنس الآخر أي الرجال. في هذه الأثناء، فإن المرأة الموصوفة في سورة يوسف الآيتين ٢٣-٢٤ هي في الأساس مخلوق لديه بطبيعته رغبات شهوانية تجاه الجنس الآخر مع حالتها النفسية التي تبدأ الإغواء كما هو موصوف في قصة يوسف وزوجة الملك.
وليس المقصود من فهم تفسير هذه الآية التدخل في المرأة كمصدر للقذف أو الشهوة، بل يؤكد أن الرجل والمرأة لديهما نفس الإمكانات في هذا الصدد، ولكن يجب على كل منهما الحفاظ على شرفه باستخدام المنطق السليم مع الالتزام بالقواعد الدينية
Omega-3 fatty acids, phenolic compounds and antioxidant characteristics of chia oil supplemented margarine
No full textAbstract Background Chia (Salvia hispanica L.) is known as power house of omega fatty acids which has great health benefits. It contains up to 78% linolenic acid (ω-3) and 18% linoleic acid (ω-6), which could be a great source of omega-3 fatty acids for functional foods. Therefore, in this study, margarines were prepared with supplementation of different concentrations of chia oil to enhance omega-3 fatty acids, antioxidant characteristics and oxidative stability of the product. Methods Margarines were formulated from non-hydrogenated palm oil, palm kernel and butter. Margarines were supplemented with 5, 10, 15 and 20% chia oil (T1, T2, T3 and T4), respectively. Margarine without any addition of chia oil was kept as control. Margarine samples were stored at 5 °C for a period of 90 days. Physico-chemical (fat, moisture, refractive index, melting point, solid fat index, fatty acids profile, total phenolic contents, DPPH free radical scavenging activity, free fatty acids and peroxide value) and sensory characteristics were studied at the interval of 45 days. Results The melting point of T1, T2, T3 and T4 developed in current investigation were 34.2, 33.8, 33.1 and 32.5 °C, respectively. The solid fat index of control, T1, T2, T3 and T4 were 47.21, 22.71, 20.33, 18.12 and 16.58%, respectively. The α-linolenic acid contents in T1, T2, T3 and T4 were found 2.92, 5.85, 9.22, 12.29%, respectively. The concentration of eicosanoic acid in T2, T3 and T4 was 1.82, 3.52, 6.43 and 9.81%, respectively. The content of docosahexanoic acid in T2, T3 and T4 was present 1.26, 2.64, 3.49 and 5.19%, respectively. The omega-3 fatty acids were not detected in the control sample. Total phenolic contents of control, T1, T2, T3 and T4 samples were 0.27, 2.22, 4.15, 7.23 and 11.42 mg GAE/mL, respectively. DPPH free radical scavenging activity for control, T1, T2, T3 and T4 was noted 65.8, 5.37, 17.82, 24.95, 45.42 and 62.8%, respectively. Chlorogenic acid, caffeic acid, quercetin, phenolic glycoside k and phenolic glycoside Q in T3 were present 0.78, 0.73, 1.82, 4.12 and 4.49 mg/mL, respectively. After 90 days of storage period, free fatty acids and peroxide value of all the treatments were less than 0.2 (% and MeqO2/kg). Sensory characteristics of treatments were not different from the control. Conclusion Margarines supplemented with chia oil showed enhanced level of omega-3 fatty acids and antioxidant characteristics. These results suggest that chia oil can be used for formulation of margarine with increased level of omega-3 fatty acids and acceptable sensory characteristics
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