760 research outputs found
Ibnu Tufail
No full textNama lengkapnya ialah Abu Bakar Muhammad ibn'Abd al-Malik ibn Muhammad ibn Tufail al-Andalusi al-Qurtuby. Karena ia keturunan bangsa Arab suku Qais, maka di belakang namanya juga diberi sebutan al-Qaisi'' Di dunia Barat, terutama dalam kalangan kaum Skolastik Kristen, ia terkenal dengan nama Abubacer, bentuk perubahan dari awal namanya, Abubakar. Ia lahir pada tahun 1110 di Qadis, 40 mil timur laut ibukota propinsi Granada, Andalusia, pada masa pemerintahan dinasti al-Muwahhidun. Ia wafat pada tahun 1185 di Marrakusy. Kehidupan masa mudanya tidak banyak diketahui orang. Diduga ia dibesarkan Dalam masyarakat Orang kebanyakan. Tetapi berkat kemampuan dan semangat studinya yang tinggi, maka ia menjadi seorang yang berpengetahuan luas dan dalam. Sebagaimana para filosuf Muslim yang sebaya maupun yang telah mendahuluinya, sebelum mendalami filsafat, Ibnu Tufail juga berkecimpung dalam berbaga bidang ilmu. Ia ahli dalam ilmu-ilmu matematika, astronomi, ketabiban, fisika, sastera, geografi dan tatanegara
رشید احمد صدیقی کے غیر مطبوعہ مکاتیب: تحقیق و تدوین
No full text In this article, Rasheed Ahmed Sidiquie's letters to Muhammad Tufail has beendiscussed. These letters are unpublished. Rasheed Ahmad Saidiqui is a prominantprose writer and Muhammad Tufail has known as sketch writer and specially EditorNaqoosh
Nilai-nilai pendidikan Islam dalam Novel Hayy bin Yaqdzon Karya Ibn Tufail
No full textPenelitian ini menggunakan novel karya abu bakar muhammad bin tufail dengan judul Hayy bin Yaqdzon sebagai objek kajiannya. Banyak pesan yang bisa diambil dalam novel itu , tetapi penulis memandang dari sisi pendidikannya. Penelitian ini akan berfokus pada, Bagaimana Nilai-Nilai Pendidikan Islam Dalam Novel Hayy bin Yaqdzon Karya Ibn Tufail. Penelitian ini memaparkan nilai-nilai pendidikan islam yang terkandung dalam cerita novel ini, tujuan pendidikan untuk menjadi hamba Allah SWT, serta prinsip-prinsip dari pendidikan islam
An Analytical Review of Different Concepts of Riba (Interest) in the Sub-Continent
No full textThe traditional concept of Riba (interest) is an excess amount on loan, which creditor receives from debtor on the repayment of loan. There is almost a consensus on the sprit of this concept that it is traditional thought or school; but along with that some other point of views also exist, which present Riba, in somewhat different ways, will be termed as non-traditional approach in this paper. Both of these schools are agreed on the point that, Riba is just restricted to debt, and the increment on it is Riba; but the main difference among these is that: former approach claims that, each and every addition on loan, regardless of purpose and time duration of loan is Riba; but, the later approach demand’s some room for that on different grounds. Actually both of them do not have any sound base. When the concept of unearned income (the income, which is not the result of human labor), is a recognized fact in Islamic economics in different forms, like: ijara (rent), Mudoraba and Mazara’a (Share Cropping); then definitely no logical reason is left to avoid excess income on loan. Both approaches are just unable to give a concrete concept of Riba.Riba, Interest, Rent, Share Cropping
Factors affecting injury severity in motorcycle crashes: Different age groups analysis using Catboost and SHAP techniques
No full textObjective: Motorcycle crashes often result in severe injuries on roads that affect people's lives physically, financially, and psychologically. These injuries could be notably harmful to drivers of all age groups. The main objective of this study is to investigate the risk factors contributing to the severity of crash injuries in different age groups. Methods: This Objective is achieved by developing accurate machine learning (ML) based prediction models. This research examines the relationship between potential risk factors of motorcycle-associated crashes using (ML) and Shapley Additive explanations (SHAP) technique. The SHAP technique further helped interpreting ML methods for traffic injury severity prediction. It indicates the significant non-linear interactions between dependent and independent variables. The data for this study was collected from the Provincial Emergency Response Service RESCUE 1122 for the Rawalpindi region (Pakistan) over three years (from 2017 to 2020). The Synthetic Minority Oversampling Technique (SMOTE) is employed to balance injury severity classes in the pre-processing phase. Results: The results demonstrate that age, gender, posted speed limit, the number of lanes, and month of the year are positively associated with severe and fatal injuries. This research also assesses how the modeling framework varies between the ML and classical statistical methods. The predictive performance of proposed ML models was assessed using several evaluation metrics, and it is found that Catboost outperformed the XGBoost, Random Forest (RF) and Multinomial Logit (MNL) model. Conclusion: The findings of this study will assist road users, road safety authorities, stakeholders, policymakers, and decision-makers in obtaining substantial and essential guidance for reducing the severity of crash injuries in Pakistan and other countries with prevailing conditions
Predicting Risky and Aggressive Driving Behavior among Taxi Drivers: Do Spatio-Temporal Attributes Matter?
No full textRisky and aggressive driving maneuvers are considered a significant indicator for traffic accident occurrence as well as they aggravate their severity. Traffic violations caused by such uncivilized driving behavior is a global issue. Studies in existing literature have used statistical analysis methods to explore key contributing factors toward aggressive driving and traffic violations. However, such methods are unable to capture latent correlations among predictor variables, and they also suffer from low prediction accuracies. This study aimed to comprehensively investigate different traffic violations using spatial analysis and machine learning methods in the city of Luzhou, China. Violations committed by taxi drivers are the focus of the current study since they constitute a significant proportion of total violations reported in the city. Georeferenced violation data for the year 2016 was obtained from the traffic police department. Detailed descriptive analysis is presented to summarize key statistics about various violation types. Results revealed that over-speeding was the most prevalent violation type observed in the study area. Frequency-based nearest neighborhood cluster methods in Arc map Geographic Information System (GIS) were used to develop hotspot maps for different violation types that are vital for prioritizing and conducting treatment alternatives efficiently. Finally, different machine learning (ML) methods, including decision tree, AdaBoost with a base estimator decision tree, and stack model, were employed to predict and classify each violation type. The proposed methods were compared based on different evaluation metrics like accuracy, F-1 measure, specificity, and log loss. Prediction results demonstrated the adequacy and robustness of proposed machine learning (ML) methods. However, a detailed comparative analysis showed that the stack model outperformed other models in terms of proposed evaluation metrics
Use of plant growth promoting endophytic bacteria to alleviate the effects of individual and combined abiotic stresses on plants as an innovative approach to discover new delivery strategies for bacterial bio-stimulants
No full textBacterial endophytes are the organisms that live inside the plant for a full or a part of their life cycle. Endophytic bacteria have captured the interest of agriculture industry due to their plant beneficial properties, such as synthesis of phytohormones, solubilization of soil nutrients, and alleviation of biotic and abiotic stresses. Several studies have reported that stress tolerant endophytic bacteria can work with a similar performance as non-stressed conditions when inoculated to the plants under stressed conditions. Combination of abiotic stresses such as salinity, drought and low nitrogen stress can have additive or agonistic effects on bacterial and plant growth, and their interactions. However, very few studies have reported the impact of combined stress on endophytic bacterial assisted plant growth promotion. Therefore, understanding the underlying mechanisms of endophytic bacterial assisted plant’s tolerance abiotic stresses may provide the means of better exploiting the beneficial abilities of endophytic bacteria in agricultural production. Thus, the aim of this thesis was to study the stress tolerance mechanisms, beneficial characteristics, and plant growth promotion characteristics of endophytic bacteria under individual and combined abiotic stresses. Transcriptome analysis of endophytic bacteria revealed that tolerance mechanisms to deal with one kind of stress is different than concurrent stresses. Salinity and drought stress largely modulated the genes involved in flagellar assembly and membrane transport, showing reduced motility under stress conditions to preserve the energy. Additionally, bacterial endophyte that can fix nitrogen was studied with maize plant growth promotion under drought and low nitrogen stress conditions. The results suggested that diazotrophic bacterial endophyte can promote plant growth under moderate individual and combined stress conditions. Plant growth promoting endophytic bacteria can be utilized as an efficient tool to increase crop production under individual and concurrent abiotic stresses
Pemikiran Pendidikan Ibn Tufail: Studi Atas Kitab Hay Ibn Yaqzan
No full textAbu Bakr ibn Tufail, known as great Islamic philosopher, meanwhile his education idea can be found in Hayy ibn Yaqzan, his magnum opus. He lived at the golden age of Andalusia in middle age, but his education idea appropriates as a contemporary teaching model. This paper has been written by analyzing and comparing Hayy ibn Yaqzan with contemporary teaching models. Ibn Tufail used rationality and intuition as a major source of human knowledge, both represent equal knowledge. His teaching model has the same characteristics as personal method teaching with a scientific approach. He hammered at the development of self creativity of problem-solving. Discovery method and inquiry methods used as his teaching method with neuro language program of metaphor and analyze case study as a technique of learning
رشید احمد صدیقی کے غیر مطبوعہ خطوط بنام محمد طفیل: ایک تعارف
No full textIn this article, Rasheed Ahmad Sidiqui's letters to Muhammad Tufail has been discussed. These letters are unpublished. Rasheed Ahmad Sidiqui is a prominant prose writer and Muhammad Tufail has known as sketch writer and specially Editor Naqoosh
- …
