scholarly journals Meta-Analysis: An integrative approach to Islamic values in biology learning

2021 ◽  
Vol 9 (2) ◽  
pp. 75
Author(s):  
Viina Miratun Nisa ◽  
Ria Yulia Gloria ◽  
Mujib Ubaidillah
Keyword(s):  
Meta Analysis ◽  
Integrative Approach ◽  
Biology Learning ◽  
Islamic Values

scholarly journals Integrative transcriptomics reveals sexually dimorphic microRNA control of the cholinergic/neurokine interface in schizophrenia and bipolar disorder

2019 ◽  
Author(s):  
Sebastian Lobentanzer ◽  
Geula Hanin ◽  
Jochen Klein ◽  
Hermona Soreq
Keyword(s):  
Bipolar Disorder ◽  
Rna Sequencing ◽  
Large Scale ◽  
Meta Analysis ◽  
Integrative Approach ◽  
P Value ◽  
Sexually Dimorphic ◽  
Sequencing Data ◽  
Sexual Dimorphisms ◽  
Human Male

SummaryRNA-sequencing analyses are often limited to identifying lowest p-value transcripts, which does not address polygenic phenomena. To overcome this limitation, we developed an integrative approach that combines large scale transcriptomic meta-analysis of patient brain tissues with single-cell sequencing data of CNS neurons, short RNA-sequencing of human male- and female-originated cell lines, and connectomics of transcription factor- and microRNA-interactions with perturbed transcripts. We used this pipeline to analyze cortical transcripts of schizophrenia and bipolar disorder patients. While these pathologies show massive transcriptional parallels, their clinically well-known sexual dimorphisms remain unexplained. Our method explicates the differences between afflicted men and women, and identifies disease-affected pathways of cholinergic transmission and gp130-family neurokine controllers of immune function, interlinked by microRNAs. This approach may open new perspectives for seeking biomarkers and therapeutic targets, also in other transmitter systems and diseases.

scholarly journals Development of Islamic Value-based Picture in Biology Learning with the ISI-ARE Model

2019 ◽  
Vol 4 (2) ◽  
pp. 237-246
Author(s):  
Agus Pahrudin ◽  
Syafrimen Syafril ◽  
Ro'inatuz Zahro ◽  
Akbar Handoko ◽  
Nova Erlina Yaumas ◽  
...  
Keyword(s):  
High School Students ◽  
Science And Religion ◽  
Estimation Model ◽  
School Students ◽  
Teachers And Students ◽  
Tenth Grade ◽  
The Media ◽  
Biology Learning ◽  
Addie Model ◽  
Islamic Values

The development of Islamic-based learning models and pictures media recently has become the focus of research in Indonesia, especially the integration between the values of science and religion. This study aimed to develop pictures of media based on Islamic values in Biology learning for high school students. The research and development procedures proposed by Borg & Gall and ADDIE model proposed by Kurt which had been modified into the ISI-ARE (Investigate, Strategy, Improve, Assessment, Realization, and Estimation) model was used as the research method. The data was collected through investigations and questionnaire validation by four experts (material, media, language, and religion). The investigation questionnaire and a media feasibility response questionnaire were distributed to two experienced biology teachers and 20 tenth-grade students (10 males and 10 females). The results showed that the media, religion, and language experts stated that the developed Islamic-based pictures media was highly feasible to be used with the obtained percentage of 90.30 %, 83.70 %, and 81.50 %. However, the material experts rated the media as feasible (75.00 %) and the teachers and students respectively rated the media as highly feasible with a percentage of 75.40 % and 87.20 %. This study illustrates that the Islamic values-based pictures media can be used as an alternative in biology learning.

scholarly journals The Interplay of Objectivity and Subjectivity in Landscape Character Assessment: Qualitative and Quantitative Approaches and Challenges

Land ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 53
Author(s):  
Theano S. Terkenli ◽  
Aikaterini Gkoltsiou ◽  
Dimitris Kavroudakis
Keyword(s):  
Qualitative Data ◽  
Meta Analysis ◽  
Integrative Approach ◽  
Extensive Literature ◽  
Time Space ◽  
Qualitative Variables ◽  
Character Assessment ◽  
Landscape Character ◽  
Landscape Types ◽  
Analytical Tools

Landscape character assessment (LCA) methods have been used in the past few decades to analyze, classify, and map landscape types, using objective and subjective approaches, with the aid of both quantitative and qualitative data. This paper addresses and critically evaluates the compromises and ways in which contemporary LCA methodologies employ (or profess they employ) objective versus subjective and quantitative versus qualitative data and analytical tools, in their conceptualization and implementation. It begins with an extensive literature review of the ways in which the objective/subjective and the quantitative/qualitative variables interweave in currently practiced or proposed versions of LCA. With the aid of meta-analysis, the paper traces and discusses the recent evolution, methods, concessions, and risks of such endeavors, and develops an integrative conceptual model for critical assessment, analysis, and negotiation of the interplay between objective–subjective and quantitative–qualitative constituent parts of existing LCA methodologies. It concludes by pointing to pitfalls and prospects, in the broader attempt towards a more concerted, integrative approach to LCA development and practice, both appropriate to its challenges and adaptable to time–space–culture–discipline landscape particularities and means of implementation.

scholarly journals Pengembangan nilai Islami peserta didik melalui integrasi Alquran dan Hadis dalam pembelajaran biologi

HUMANIKA ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 129-146
Author(s):  
Mualimin Mualimin
Keyword(s):  
Learning Process ◽  
Biological Material ◽  
Integration Process ◽  
Learning Models ◽  
Cognitive Intelligence ◽  
National Education ◽  
The Subject ◽  
Biology Learning ◽  
Education Goals ◽  
Islamic Values

National education aims to shape people of faith and piety and noble character, not only to develop the potential of cognitive intelligence. One effort that can be done to realize these goals is to develop Islamic values of students through the integration of the Qur'an and Hadith in learning biology. Through the integration of the Qur'an and Hadith in biology learning, students can gain knowledge about the concept of biology while at the same time developing Islamic values. Integration of the Qur'an and Hadith in learning biology can be done by: 1) Recording and analyzing verses of the Qur'an and Hadith that are in accordance with the subject or biological material both implicitly or explicitly, 2) Implementing the integration of verses of the Qur'an and Hadith found in the process of learning biology by selecting certain appropriate learning models; 3) Evaluating the integration process that has been done in the biology learning process. The integration of Al-Qur'an and Hadith in learning biology needs to be done to foster Islamic values in students to achieve national education goals. 

scholarly journals Evaluation of the Effectiveness of Herbal Components Based on Their Regulatory Signature on Carcinogenic Cancer Cells

Cells ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 3139
Author(s):  
Fazileh Esmaeili ◽  
Tahmineh Lohrasebi ◽  
Manijeh Mohammadi-Dehcheshmeh ◽  
Esmaeil Ebrahimie
Keyword(s):  
Machine Learning ◽  
Transcription Factors ◽  
Drug Discovery ◽  
Cancer Cells ◽  
Meta Analysis ◽  
Herbal Extract ◽  
Integrative Approach ◽  
Discovery Process ◽  
Drug Discovery Process ◽  
Herbal Components

Predicting cancer cells’ response to a plant-derived agent is critical for the drug discovery process. Recently transcriptomes advancements have provided an opportunity to identify regulatory signatures to predict drug activity. Here in this study, a combination of meta-analysis and machine learning models have been used to determine regulatory signatures focusing on differentially expressed transcription factors (TFs) of herbal components on cancer cells. In order to increase the size of the dataset, six datasets were combined in a meta-analysis from studies that had evaluated the gene expression in cancer cell lines before and after herbal extract treatments. Then, categorical feature analysis based on the machine learning methods was applied to examine transcription factors in order to find the best signature/pattern capable of discriminating between control and treated groups. It was found that this integrative approach could recognize the combination of TFs as predictive biomarkers. It was observed that the random forest (RF) model produced the best combination rules, including AIP/TFE3/VGLL4/ID1 and AIP/ZNF7/DXO with the highest modulating capacity. As the RF algorithm combines the output of many trees to set up an ultimate model, its predictive rules are more accurate and reproducible than other trees. The discovered regulatory signature suggests an effective procedure to figure out the efficacy of investigational herbal compounds on particular cells in the drug discovery process.

scholarly journals Review Bentuk Integrasi Islam dalam Pendidikan IPA di Indonesia

ISLAMIKA ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 57-67
Author(s):  
Riza Umami ◽  
Noor Fanika ◽  
Muhamad Imaduddin
Keyword(s):  
Systematic Review ◽  
Science Education ◽  
Social Science ◽  
Science Learning ◽  
Meta Analysis ◽  
Development Model ◽  
Learning Approaches ◽  
Analysis Method ◽  
Teaching Materials ◽  
Islamic Values

Research aims to determine the form of application of Islamic integration in science education in Indonesia. The method in this research uses a systematic review meta-analysis method. The data used in the study were obtained by collecting journals using the Sinta journals indeks 1 to 6. This time the writer used qualitative techniques and used the prism method. The result showed that in the jourals Sinta 1 to Sinta 6 there were 193 journals found in the search for keywords on science and science education. From 193 journals, it was found that there were 47 articles related to Islam and 10 articles related to the Al-quran. It is concluded that the application of Islamic integration in science education has been carried out quite a lot and has various forms of application of Islamic integration. Researchers found various topics related to Islamic integration. However, the integration of Islam in the form of science learning in Indonesia is still small because the number of resources with a background in humanities and social science is more dominant. The development of Islamic values in education can be done through the development model of teaching materials, methods, or learning approaches.

Working with addiction: an intercultural-integrative approach to substance dependency during a seven-year delivery of a psychotherapy service in North London

2020 ◽  
Vol 20 (2) ◽  
pp. 135-146
Author(s):  
Antony Sigalas
Keyword(s):  
Clinical Practice ◽  
Design Methodology ◽  
Meta Analysis ◽  
Third Sector ◽  
Statistical Information ◽  
Integrative Model ◽  
Integrative Approach ◽  
Dimensional Approach ◽  
Content Type ◽  
Case Vignettes

Purpose This paper aims to focus on a meta-analysis of an applied integrative model of clinical practice at community level in a third-sector organisation. The psychotherapeutic work was exclusively aimed at those who struggled with their abstinence from their substance use. Design/methodology/approach The model adapted to the needs of those who accessed the service, combined culturally sensitive psychoanalytic, systemic and relational frameworks. Findings The analysis reflects how such a multi-dimensional approach may be used to address the experience of self-destructiveness in the context of inferiorisation. This paper also presents some statistical information as well as three case vignettes. Originality/value The analysis reflects how such a multi-dimensional approach may be used to address the experience of self-destructiveness in the context of inferiorisation.

Identifying and modeling the antecedents of counterproductive knowledge behavior: a three-study analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yasha Afshar-Jalili ◽  
Helena D. Cooper-Thomas ◽  
Mahshad Fatholahian
Keyword(s):  
Design Methodology ◽  
Meta Analysis ◽  
Integrative Approach ◽  
Relative Role ◽  
Content Type ◽  
Aggregate Information ◽  
The Matrix ◽  
Strength Of Effects ◽  
Qualitative Literature

Purpose This study aims to identify and classify the range of antecedents of counterproductive knowledge behavior (CKB) to provide a better understanding of their implications for addressing CKB. Design/methodology/approach The study includes three studies. Using meta-analysis (Study 1) and meta-synthesis (Study 2), the authors reviewed extant primary quantitative and qualitative studies to aggregate information on the antecedents of CKB identified to date. In Study 3, these antecedents were modeled schematically by using the matrix of cross-impact multiplications (MICMAC) analysis. Findings The meta-analysis and meta-synthesis (Studies 1 and 2) yielded 28 antecedents of CKB. These were categorized into five groups of characteristics, relating to the workplace, leadership, interpersonal, individual differences and knowledge. Then, in Study 3, the antecedents were categorized according to their interrelatedness and strength of effects (using four quadrants comprising autonomous, dependence, driving and linkage factors). Originality/value This study takes an integrative approach to the CKB literature, both by aggregating underlying constructs (knowledge hoarding, hiding, etc.) and in aggregating quantitative and qualitative literature. This prevents silos and integrates knowledge across a range of CKB studies. Besides, the authors reveal the relative role of antecedents by modeling them.

scholarly journals Trans-ethnic eQTL meta-analysis of human brain reveals regulatory architecture and candidate causal variants for brain-related traits

2021 ◽  
Author(s):  
Gabriel Hoffman ◽  
Biao Zeng ◽  
Jaroslav Bendl ◽  
Roman Kosoy ◽  
John Fullard ◽  
...  
Keyword(s):  
Sample Size ◽  
Fine Mapping ◽  
Large Scale ◽  
Association Studies ◽  
Meta Analysis ◽  
Integrative Approach ◽  
Effective Sample Size ◽  
Strong Linkage Disequilibrium ◽  
Genome Wide Association Studies ◽  
Causal Variants

Abstract While large-scale genome-wide association studies (GWAS) have identified hundreds of loci associated with neuropsychiatric and neurodegenerative traits, identifying the variants, genes and molecular mechanisms underlying these traits remains challenging. Integrating GWAS results with expression quantitative trait loci (eQTLs) and identifying shared genetic architecture has been widely adopted to nominate genes and candidate causal variants. However, this integrative approach is often limited by the sample size, the statistical power of the eQTL dataset, and the strong linkage disequilibrium between variants. Here we developed the multivariate multiple QTL (mmQTL) approach and applied it to perform a large-scale trans-ethnic eQTL meta-analysis to increase power and fine-mapping resolution. Importantly, this method also increases power to identify conditional eQTL’s that are enriched for cell type specific regulatory effects. Analysis of 3,188 RNA-seq samples from 2,029 donors, including 444 non-European individuals, yields an effective sample size of 2,974, which is substantially larger than previous brain eQTL efforts. Joint statistical fine-mapping of eQTL and GWAS identified 301 variant-trait pairs for 23 brain-related traits driven by 189 unique candidate causal variants for 179 unique genes. This integrative analysis identifies novel disease genes and elucidates potential regulatory mechanisms for genes underlying schizophrenia, bipolar disorder and Alzheimer’s disease.

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