1,721,313 research outputs found
PERAN KH. MUHAMMAD ABUBAKAR DALAM BIDANG PENDIDIKAN DAN DAKWAH DI PONDOK PESANTREN ALKHAIRAAT TILAMUTA
Full text linkTujuan pendidikan dan dakwah adalah melepaskan umat dari
keterbelakangan ilmu pengetahuan dan nilai-nilai agama yang tetap bersandar
kepada Alquran dan Sunnah. Sebagai tokoh pendidik dan pendakwah, peran KH.
Muhammad Abubakar sangat urgen dalam pengembangan agama Islam di
Gorontalo sekaligus menyebarkan ilmu pengetahuan terhadap masyarakat.
Penelitian ini mengkaji KH. Muhammad Abubakar yang terfokus pada:
1). Peran KH. Muhammad Abubakar di bidang pendidikan dan dakwah. 2).
Relevansi konsep pendidikan dan dakwah KH. Muhammad Abubakar terhadap
masyarakat setempat.
Penelitian ini menggunakan teori ‘Ilm al ‘Umran yang dikemukan oleh
Ibnu Khaldun dalam melihat manusia sebagai makhluk sosial yang tidak lepas
dari pengaruh realitas sosial di mana dia berada. Juga menggunakan teori
kharismatik untuk melihat dan mengkaji sosok KH. Muhammad Abubakar.
Karena merupakan penelitian pertama yang mengkaji tentang peran KH.
Muhammad Abubakar, metode penelitian ini lebih banyak melakukan wawancara
terhadap orang-orang yang sempat bersentuhan dengan KH. Muhammad
Abubakar dengan pendekatan behavioral, yaitu pendekatan yang tidak hanya
terfokus pada kejadiannya, tetapi juga pelaku sejarah dalam situasi nyata
Berdasarkan temuan hasil penelitian ini, manhaj Alkhairaat sebagai
fondasi awal yang diletakkan oleh Habib ‘Idrus bin Salim Aljufri (pendiri
Alkhairaat) sangat berpengaruh terhadap corak pemikiran dan sepak terjang KH.
Muhammad Abubakar di bidang pendidikan dan dakwah dalam menyikapi
realitas sosial masyarakat. Sebagai pendidik, ia berhasil menjadikan Alkhairaat –
Alkhairaat Tilamuta— sebagai salah satu pondok pesantren unggulan di provinsi
Gorontalo dengan penguasaan para santrinya terhadap ilmu gramatika bahasa
Arab. Juga menjadikan Alkhairaat Tilamuta sebagai lembaga pendidikan yang
dekat dan dibutuhkan masyarakat. Dalam dakwahnya, selain berdakwah dengan
cara monologis KH. Muhammad Abubakar juga berdakwah dengan cara dialogis
yaitu pendekatan dakwah dengan cara diskusi dan tanya jawab bersama
masyarakat
Assessment of Fire Safety Preparedness in Muhammad Abubakar Rimi Market (Sabon Gari) Kano, Nigeria
Full text linkThe frequent occurrence of fire disaster in industrial and commercial buildings, shopping malls, and markets in Nigeria has become a serious threat to the nation’s fragile economy. This research is aimed to assess the fire safety preparedness among the marketers in Muhammad Abubakar Rimi market (Sabon Gari) Kano. Interview and questionnaire survey ware conducted to collect data about the level of fire safety preparedness among the tenants within Muhammad Abubakar Rimi market (Sabon Gari). A total of 396 copies of a questionnaire were distributed. A purposive sampling was used to select the market, a stratified sampling was used to stratify the marketers based on the flammability nature of the commodity they sell and availability sampling was employed to collect data directly from the respondent. The data was analyzed using statistical package for social science (SPSS) and presented in pie chart, bar chart, percentages and tables. The result from the analysis revealed that: Majority of respondents (78%) are not well prepared against fire disaster in the market and this is due to their lack of knowledge on fire safety, lack of knowledge and training regarding the use of fire extinguisher. In conclusion, level fire safety preparedness among the tenants is very low. The study recommends for integrated fire disaster management system involving all stakeholders for sustainable commercial activities in Muhammad Abubakar Rimi market (Sabon Gari)
sj-pdf-3-inq-10.1177_00469580211036283 – Supplemental Material for Impact of Pharmacist-Led Interventions on Diabetes Management at a Community Pharmacy in Pakistan: A Randomized Controlled Trial
No full textSupplemental Material, sj-pdf-3-inq-10.1177_00469580211036283 for Impact of Pharmacist-Led Interventions on Diabetes Management at a Community Pharmacy in Pakistan: A Randomized Controlled Trial by Muhammad Abubakar and Muhammad Atif in INQUIRY: The Journal of Health Care Organization, Provision, and Financing</p
sj-pdf-7-inq-10.1177_00469580211036283 – Supplemental Material for Impact of Pharmacist-Led Interventions on Diabetes Management at a Community Pharmacy in Pakistan: A Randomized Controlled Trial
No full textSupplemental Material, sj-pdf-7-inq-10.1177_00469580211036283 for Impact of Pharmacist-Led Interventions on Diabetes Management at a Community Pharmacy in Pakistan: A Randomized Controlled Trial by Muhammad Abubakar and Muhammad Atif in INQUIRY: The Journal of Health Care Organization, Provision, and Financing</p
sj-pdf-6-inq-10.1177_00469580211036283 – Supplemental Material for Impact of Pharmacist-Led Interventions on Diabetes Management at a Community Pharmacy in Pakistan: A Randomized Controlled Trial
No full textSupplemental Material, sj-pdf-6-inq-10.1177_00469580211036283 for Impact of Pharmacist-Led Interventions on Diabetes Management at a Community Pharmacy in Pakistan: A Randomized Controlled Trial by Muhammad Abubakar and Muhammad Atif in INQUIRY: The Journal of Health Care Organization, Provision, and Financing</p
sj-pdf-1-inq-10.1177_00469580211036283 – Supplemental Material for Impact of Pharmacist-Led Interventions on Diabetes Management at a Community Pharmacy in Pakistan: A Randomized Controlled Trial
No full textSupplemental Material, sj-pdf-1-inq-10.1177_00469580211036283 for Impact of Pharmacist-Led Interventions on Diabetes Management at a Community Pharmacy in Pakistan: A Randomized Controlled Trial by Muhammad Abubakar and Muhammad Atif in INQUIRY: The Journal of Health Care Organization, Provision, and Financing</p
sj-pdf-5-inq-10.1177_00469580211036283 – Supplemental Material for Impact of Pharmacist-Led Interventions on Diabetes Management at a Community Pharmacy in Pakistan: A Randomized Controlled Trial
No full textSupplemental Material, sj-pdf-5-inq-10.1177_00469580211036283 for Impact of Pharmacist-Led Interventions on Diabetes Management at a Community Pharmacy in Pakistan: A Randomized Controlled Trial by Muhammad Abubakar and Muhammad Atif in INQUIRY: The Journal of Health Care Organization, Provision, and Financing</p
sj-pdf-2-inq-10.1177_00469580211036283 – Supplemental Material for Impact of Pharmacist-Led Interventions on Diabetes Management at a Community Pharmacy in Pakistan: A Randomized Controlled Trial
No full textSupplemental Material, sj-pdf-2-inq-10.1177_00469580211036283 for Impact of Pharmacist-Led Interventions on Diabetes Management at a Community Pharmacy in Pakistan: A Randomized Controlled Trial by Muhammad Abubakar and Muhammad Atif in INQUIRY: The Journal of Health Care Organization, Provision, and Financing</p
sj-pdf-4-inq-10.1177_00469580211036283 – Supplemental Material for Impact of Pharmacist-Led Interventions on Diabetes Management at a Community Pharmacy in Pakistan: A Randomized Controlled Trial
No full textSupplemental Material, sj-pdf-4-inq-10.1177_00469580211036283 for Impact of Pharmacist-Led Interventions on Diabetes Management at a Community Pharmacy in Pakistan: A Randomized Controlled Trial by Muhammad Abubakar and Muhammad Atif in INQUIRY: The Journal of Health Care Organization, Provision, and Financing</p
Investigating Brain Functional Networks in a Riemannian Framework
No full textThe brain is a complex system of several interconnected components which can be categorized at different Spatio-temporal levels, evaluate the physical connections and the corresponding functionalities. To study brain connectivity at the macroscale, Magnetic Resonance Imaging (MRI) technique in all the different modalities has been exemplified to be an important tool. In particular, functional MRI (fMRI) enables to record the brain activity either at rest or in different conditions of cognitive task and assist in mapping the functional connectivity of the brain.
The information of brain functional connectivity extracted from fMRI images can be defined using a graph representation, i.e. a mathematical object consisting of nodes, the brain regions, and edges, the link between regions. With this representation, novel insights have emerged about understanding brain connectivity and providing evidence that the brain networks are not randomly linked. Indeed, the brain network represents a small-world structure, with several different properties of segregation and integration that are accountable for specific functions and mental conditions. Moreover, network analysis enables to recognize and analyze patterns of brain functional connectivity characterizing a group of subjects.
In recent decades, many developments have been made to understand the functioning of the human brain and many issues, related to the biological and the methodological perspective, are still need to be addressed. For example, sub-modular brain organization is still under debate, since it is necessary to understand how the brain is functionally organized. At the same time a comprehensive organization of functional connectivity is mostly unknown and also the dynamical reorganization of functional connectivity is appearing as a new frontier for analyzing brain dynamics. Moreover, the recognition of functional connectivity patterns in patients affected by mental disorders is still a challenging task, making plausible the development of new tools to solve them.
Indeed, in this dissertation, we proposed novel methodological approaches to answer some of these biological and neuroscientific questions. We have investigated methods for analyzing and detecting heritability in twin's task-induced functional connectivity profiles. in this approach we are proposing a geodesic metric-based method for the estimation of similarity between functional connectivity, taking into account the manifold related properties of symmetric and positive definite matrices.
Moreover, we also proposed a computational framework for classification and discrimination of brain connectivity graphs between healthy and pathological subjects affected by mental disorder, using geodesic metric-based clustering of brain graphs on manifold space. Within the same framework, we also propose an approach based on the dictionary learning method to encode the high dimensional connectivity data into a vectorial representation which is useful for classification and determining regions of brain graphs responsible for this segregation. We also propose an effective way to analyze the dynamical functional connectivity, building a similarity representation of fMRI dynamic functional connectivity states, exploiting modular properties of graph laplacians, geodesic clustering, and manifold learning
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