9 research outputs found
The Implied Author in the literary works of Muhammad Naffa’
No full textتخوض المقالة مغامرة البحث في معنى المصطلح "كاتب ضمنيّ (Implied Author)، مفهومه وتجلّيه في أدب الكاتب الفلسطينيّ المحليّ محمّد نفّاع (1939). فرغم ما حظي به أدبه من مقالات نقديّة، إلّا أنّ أحدًا لم يتناول هذا الجانب ويبحثه بحثًا جادًّا متعمّقًا. وهي مقالة مُلخّصة لثمرة جهد دام ثلاث سنوات، قمنا خلالها ببحث طوليّ شموليّ تناول كلّ مجموعات نفّاع القصصيّة وعددها ست، ورواية فاطمة الصادرة عن دار راية للنشر عام 2015، والتي نُشرت في حلقات متفرّقة على موقع الجبهة، بالإضافة إلى كلّ ما نُشر من قصص متفرّقة في هذا الموقع الأخير[1] حتى شهر حزيران 2014.
تأتي هذه الدراسة لتؤكّد فكرة التّعالق الجماليّ والفكريّ في أدب نفّاع. فالقاصّ لا يلتقط معلومات عابرة ويُحوّلها إلى نصّ أدبيّ، إنّما نراه يخضع لعوامل تاريخيّة، فكريّة، أيديولوجيّة، فيفارق خلالها سطوح الأشياء ليصل إلى أعماقها، وبهذا يكون مطالبًا بإعادة صياغة المفاهيم والمعلومات ونسجها من جديد. الكاتب الضمنيّ، وهو وليد الكاتب الحقيقيّ وممثّله، بوصفه الأنا الثانية له، هو المرآة التي ستعكس لنا هذا التّعالق الجماليّ مع الفكريّ على وجه التحديد والتخصيص. وحتى يتحقق ذلك يتوجب علينا اقتفاء أثر الكاتب في النّص من خلال متابعتنا لمجالات خمسة: الكاتب وعلاقته بالزّمان، الكاتب وعلاقته بالمكان، الكاتب وعلاقته بالشخصيّات، الكاتب وعلاقته بالحدث، الكاتب وعلاقته بالراوي. فماذا نعني بالكاتب الضمنيّ والكاتب الحقيقيّ (The real author) ما العلاقة بينهما؟ متى ينوب الراوي عن الكاتب الحقيقيّ؟ وكيف يتجلى ذلك في نصوص نفّاع؟ كم من المؤلّف الحقيقيّ في المؤلّف الضمنيّ؟ على هذه الأسئلة البحثيّة ستتم الإجابة من خلال توضيح العلاقة بين الكاتب والمجالات الخمسة الآنف ذكرها، وتفسير كيفيّة انعكاس هذه العلاقة على الوظيفة التي يؤدّيها الكاتب الضمنيّ/ المُضمر في النّص الأدبيّ عند نفّاع.
*This article aims to examine the meaning and the context of the term "Implied Author" and how it is revealed in the literature of the local Palestinian writer Mohammad Naffa' (1939). Despite the vast amount of critical writing on Nafaa's literature, however, none has dealt or looked in depth into this aspect. The present article is accumulative work of a 3- year project in which we carried out a longitudinal holistic research studying all Naffa's story collections, 6 in number, and his novel "Fatima", published by Al-Raya Publishing in 2015, which had been earlier published as a series in Hadash website (Al-Ittihad literature section), in addition to all the randomly published stories in this website up till June 2014.
This study considers the idea of aesthetic and thematic interconnectivity in Nafaa's works, i.e., for the narrator does not simply pick his information randomly; he bides himself to historical and ideological factors where he departs the surface to dive into the depth of things, thus becoming self-demanding. He is obliged to re-construct and re-frame and re-shape the concepts and the information all a new.
The Implied Author is the author's construct and his representative by being his second Ego. He is the mirror that will reflect to us this aesthetic interconnectivity with the thematic one, in particular. In order for that to happen, we, readers, need to follow the traces of the writer in the text examining the following five domains: the writer and his relationship to Time, the writer and Place, the writer and the Characters and finally the writer and the Narrator. What do we then mean by Implied Author and Real Author? What is the relation between the two? When does the narrator represent the real writer? How is this revealed in Naffa's literature? To what extent does the real author exist in the implied author? All these research questions are discussed and answered putting the relationship between the writer and the five previously mentioned domains. Furthermore, the reflection of this relationship on the role done by the Implied Author in Naffa's literary text will be elaborated
Reliability Benchmarking of Eurocode 7 Design Examples: CIE5050-09: Additional Thesis Project 2021
No full textThe application of reliability analysis in geotechnical engineering is relatively new compared to the other sections of civil engineering such as structural engineering and hydraulic engineering. However, due to its increases use in recent years, reliability analysis is planned to be included extensively in the upcoming Eurocode 7 (EN 1997). This research aims to compare the accuracy and efficiency between the applications of 22 selected reliability methods in 9 selected geotechnical engineering problems with various number of independent variables and modes of failure. The accuracy of the reliability methods are determined based on the Probability of Failure (Pf) errors, while the efficiency is based on the number of realizations (N) each method needs. The Monte Carlo Simulation is found to be the most accurate method despite its shortcomings in efficiency (ranked as the least efficient). Moreover, the FOSM method is found to be the most efficient despite its serious shortcoming in accuracy where it is also ranked as the most inaccurate. However, putting both accuracy and efficiency into account, the AK-MCS 0 order is proven to be the best method when applied to the discussed geotechnical engineering problems. The research also points out the necessity to perform multiple reliability methods for each geotechnical engineering problem.Geo-Engineerin
A Reliability-Based Design Optimization Method for Geotechnical Engineering Problem Based On Active-Learning Kriging Metamodeling
No full textUsing an expensive-to-evaluate numerical model, such as a finite element method (FEM) model, is deemed unavoidable in solving modern geotechnical engineering problems. At the same time, the application of reliability analysis in dealing with uncertainties (e.g. soil properties) is increasing rapidly. This could pose a time-wise problem for an FEM model since reliability analysis normally takes much more than only one realization (function call) of the model. It becomes a bigger problem when a design optimization process is taking place. More often than not, design optimization is performed by a ”trial-and-error” method in practice, which the process itself would even take longer just to give engineers the ”sense” of achieving an optimal design (in terms of safety and economy). Therefore, the actual optimality of the design is not systematically proven and quantified. This research proposes a novel reliability-based design optimization (RBDO) method by combining existing theories regarding active-learning Kriging-based Monte Carlo Simulation (AK-MCS) and (1+1)-Covariance Matrix Adaptation evolution scheme ((1+1)-CMA-ES). To achieve accuracy and efficiency, the method consists of four enrichment stages. These enrichment stages ensure the method accurately and efficiently predicts the optimal design combination by considering the reliability constraint. The chosen case study is the reinforcement design of the Starnmeer polder dyke in the Netherlands, which is simulated as an FEM model. Within a limited number of function calls, the proposed RBDO method could accurately predict the optimal dimensions of the dyke that delivers the targeted reliability index. The reliable performance of the proposed method is further demonstrated by solving three analytical optimization problems.Geo-Engineerin
Analisis Pengaruh Service Quality, Food Quality, Value/Price Terhadap Customer Satisfaction
No full textDevelopments in the food and beverage sector are increasingly rapid; coffee shop businesses will experience an increase of 60.5% in 2022. Business actors will always strive for the best service for their customers. So, stakeholders must know the relationship between the services provided so that customers are satisfied. The purpose of this study was to see the magnitude of the relationship between service quality, presentation quality, value/price to customer satisfaction at Djamoean Café Pamekasan. The method used this time is structural equation modeling (SEM) with SmartPLS. This research shows that service quality has an AVE value <0.70, meaning that the service quality variable is not included in further analysis, the VIF value for all latent variables is below the threshold of 5, so there is no multicollinearity problem in the structural model. The first hypothesis looks for a positive influence of service quality on consumer satisfaction. This test shows that service quality has a positive effect on consumer satisfaction with a P value <0.05. The service quality reliability test showed that the results were unreliable, so service quality had no significant effect, so the first hypothesis was rejected. Serving quality has a positive influence on consumer satisfaction. The test results show that serving quality has a positive influence on consumer satisfaction with a P-value <0.05. So that hypothesis number two can be accepted. Value/price shows P-value> 0.05, then value/price does not have a positive effect on customer satisfaction. So that hypothesis number three is rejected. The author advises Djamoean Cafe Pamekasan to always maintain the quality of taste and hygiene of food and drinks, and provide sufficient serving portions to always provide customer satisfaction.Perkembangan pada sektor food and baverage semakin pesat, usaha coffee shop khususnya mengalami peningkatan sebesar 60,5% pada tahun 2022. Pelayanan terbaik akan selalu diupayakan para pelaku usaha kepada pelanggannya, Maka stakeholder harus mengetahui hubungan pelayanan-pelayanan yang diberikan agar pelanggan terpuaskan. Tujuan penelitian ini untuk mengetahui besarnya hubungan antara kualitas pelayanan, kualitas sajian, nilai/harga kepada kepuasan pelanggan pada Djamoean Café Pamekasan. Metode yang digunakan yaitu structural equation modelling (SEM) dengan SmartPLS. Penelitian ini menunjukkan kualitas pelayanan memiliki nilai AVE < 0,70 artinya variabel kualitas pelayanan tidak diikutkan analisis selanjutnya, nilai VIF pada seluruh variabel laten dibawah ambang batas 5, maka tidak terdapat masalah multikolinieritas pada model struktural. Hipotesis pertama mencari pengaruh positif dari kualitas pelayanan terhadap kepuasan konsumen. Pengujian ini memperlihatkan kualitas pelyanan berpengaruh terhadap kepuasan konsumen secara positif dengan P value < 0,05, uji reliabilitas kualitas pelayanan didapatkan hasil tidak reliable, maka kualitas pelayanan tidak berpengaruh signifikan sehingga hipotesis pertama ditolak. Kualitas sajian mempunyai pengaruh yang positif kepada kepuasan konsumen, Hasil pengujian bahwa kualitas sajian berpengaruh secara positif terhadap kepuasan konsumen dengan P-value < 0,05 Sehingga hipotesis nomer dua dapat diterima. Nilai menunjukkan P-value > 0,05, maka nilai tidak mempunyai pengaruh yang positif kepada kepuasan konsumen sehingga hipotesis nomer tiga ditolak. penulis memberi saran kepada Djamoean Cafe Pamekasan harus selalu menjaga kualitas cita rasa dan higenitas makanan dan minuman, serta memberikan porsi sajian yang cukup agar selalu memberikan kepuasan bagi pelanggan
Comparison of ARIMA and LSTM Models in Stock Price Forecasting: A Case Study of GOTO.JK
No full textThe renowned Indonesian company, PT Gojek Tokopedia Tbk, has a significant impact on the Indonesian economy by attracting investors to invest their shares. This study uses stock closing price data to forecast stock prices using ARIMA (AutoRegressive Intergrated Moving Average) and LSTM (Long Short-Term Memory) models, to predict using prediction by dividing the data into groups of 10 or 20 data with data sets to be trained as multiples. The analysis shows that ARIMA is superior to LSTM based on the comparison of average error and average percentage error, where the average error results in LSTM (3.843) and ARIMA (3.259), as well as the average error of LSTM (4.04%) and ARIMA (3.57%). The research supports the conclusion that ARIMA has a better performance in predicting the stock price of PT Gojek Tokopedia Tbk. These results provide important insights for investors and market participants, while the research supports the increased use of seasonal patterns in ARIMA forecasting for more accurate results in the future. Future research is recommended to explore additional factors and optimized models to further improve stock price prediction
Comparison of ARIMA and LSTM Models in Stock Price Forecasting: A Case Study of GOTO.JK
No full textThe renowned Indonesian company, PT Gojek Tokopedia Tbk, has a significant impact on the Indonesian economy by attracting investors to invest their shares. This study uses stock closing price data to forecast stock prices using ARIMA (AutoRegressive Intergrated Moving Average) and LSTM (Long Short-Term Memory) models, to predict using prediction by dividing the data into groups of 10 or 20 data with data sets to be trained as multiples. The analysis shows that ARIMA is superior to LSTM based on the comparison of average error and average percentage error, where the average error results in LSTM (3.843) and ARIMA (3.259), as well as the average error of LSTM (4.04%) and ARIMA (3.57%). The research supports the conclusion that ARIMA has a better performance in predicting the stock price of PT Gojek Tokopedia Tbk. These results provide important insights for investors and market participants, while the research supports the increased use of seasonal patterns in ARIMA forecasting for more accurate results in the future. Future research is recommended to explore additional factors and optimized models to further improve stock price prediction
Corrigendum to 'Trends in mortality due to ischemic heart diseases among patients with Alzheimer's disease in the United States from 1999 to 2020' [Int J Cardiol Cardiovasc Risk Prev. 2025 Mar 7;25:200390].
No full text[This corrects the article DOI: 10.1016/j.ijcrp.2025.200390.]. [Abstract copyright: © 2025 The Author(s).
Trend of Polymer Research Related to COVID-19 Pandemic: Bibliometric Analysis
No full textPolymeric materials are used for personal protective equipment (PPE), which is mandatory for clinicians to use when handling coronavirus disease 2019 (COVID-19) patients. The development of diagnostic tools and vaccines for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is also dependent on polymer technology. This current report aims to provide readers with the trend of polymer research regarding the COVID-19 pandemic, by employing bibliometric analysis. A literature search on the Scopus database (31 January 2022) was carried out using predetermined terms. Using Scopus database features, the publications were filtered based on the year of publication (2020–2022), types of articles (original research and review), and language (English). The metadata were extracted in a CSV (.csv) file, to be later used in VOSviewer software. The data were presented in a table, graph, and network visualization. As many as 512 publications were included, consisting of 66.4% original research articles and 33.6% review articles. Most of the publications were written by authors whose affiliation was in the United States (n = 118, 23%) and covering the Materials Science subject area (n = 142, 27.7%). The Ministry of Education of China was the most productive organization, publishing 11 articles. The National Science Foundation of China was the top funding source, supporting 45 publications. Heinz C. Schröder was the most prolific author, publishing nine articles. Science of the Total Environment was the leading journal publishing the included studies. The trend of polymer technology related to COVID-19 mostly covers PPE and waste-management themes. The use of polymer technology as a delivery system for the anti-SARS-CoV-2 and COVID-19 vaccine is also among the frequently researched areas. We encourage more research in the field of polymer technology be carried out, to overcome the global pandemic
Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines
No full textThe last decade has seen a sharp increase in the number of scientific publications describing physiological and pathological functions of extracellular vesicles (EVs), a collective term covering various subtypes of cell-released, membranous structures, called exosomes, microvesicles, microparticles, ectosomes, oncosomes, apoptotic bodies, and many other names. However, specific issues arise when working with these entities, whose size and amount often make them difficult to obtain as relatively pure preparations, and to characterize properly. The International Society for Extracellular Vesicles (ISEV) proposed Minimal Information for Studies of Extracellular Vesicles (“MISEV”) guidelines for the field in 2014. We now update these “MISEV2014” guidelines based on evolution of the collective knowledge in the last four years. An important point to consider is that ascribing a specific function to EVs in general, or to subtypes of EVs, requires reporting of specific information beyond mere description of function in a crude, potentially contaminated, and heterogeneous preparation. For example, claims that exosomes are endowed with exquisite and specific activities remain difficult to support experimentally, given our still limited knowledge of their specific molecular machineries of biogenesis and release, as compared with other biophysically similar EVs. The MISEV2018 guidelines include tables and outlines of suggested protocols and steps to follow to document specific EV-associated functional activities. Finally, a checklist is provided with summaries of key points. © 2018, © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of The International Society for Extracellular Vesicles
