Identification of Best Practices of Higher Education Leadership in Shaping Student Character following Islamic Guidance DOI Creative Commons
Rini Fitria,

Abdul Rosid,

Suwarni Suwarni

и другие.

JURNAL IQRA, Год журнала: 2023, Номер 8(1), С. 434 - 448

Опубликована: Авг. 12, 2023

The study aimed to highlight best practices that showcased effective higher education leadership in character development at the university, substantiating these with compelling evidence rooted Islamic principles. In pursuing this objective, a mixed-method approach was employed past. Qualitative data collected through interviews and document analysis, while surveys questionnaires provided quantitative insights. also reviewed relevant literature contextualize Fatmawati University's efforts. findings from past were illuminating. University effectively integrated ethics morality into its academic curriculum courses like "Islamic Ethics Morality" Principles of Justice." community actively engaged charitable initiatives, reinforcing compassion ethical conduct. Inclusivity promoted interfaith dialogues cultural exchange events, fostering tolerance understanding among students. Additionally, service learning, discussions, mentorship programs emphasized development. university's interdisciplinary approach, integrating studies across various disciplines, facilitated holistic within ethics. summary, for underscored commitment principles, enriching students' promoting excellence moral values. Keywords: Ethics, Character Development, Education Leadership

Язык: Английский

Candida albicans and Candida glabrata : global priority pathogens DOI
Myrto Katsipoulaki, Mark H. T. Stappers, Dhara Malavia

и другие.

Microbiology and Molecular Biology Reviews, Год журнала: 2024, Номер 88(2)

Опубликована: Июнь 4, 2024

SUMMARYA significant increase in the incidence of

Язык: Английский

Процитировано

32

Humans vs. Fungi: An Overview of Fungal Pathogens against Humans DOI Creative Commons
Kasun M. Thambugala, Dinushani A. Daranagama, Danushka S. Tennakoon

и другие.

Pathogens, Год журнала: 2024, Номер 13(5), С. 426 - 426

Опубликована: Май 17, 2024

Human fungal diseases are infections caused by any fungus that invades human tissues, causing superficial, subcutaneous, or systemic diseases. Fungal enter various tissues and organs pose a significant threat to millions of individuals with weakened immune systems globally. Over recent decades, the reported cases invasive have increased substantially research progress in this field has also been rapidly boosted. This review provides comprehensive list pathogens extracted from over 850 case reports, summary relevant disease conditions their origins. Details 281 belonging 12 classes 104 genera divisions ascomycota, basidiomycota, entomophthoromycota, mucoromycota listed. Among these, Aspergillus stands out as genus greatest potential infecting humans, comprising 16 species known infect humans. Additionally, three other genera, Curvularia, Exophiala, Trichophyton, recognized each 10 more pathogenic species. A phylogenetic analysis based on partial sequences 28S nrRNA gene (LSU) was performed show relationships clarify taxonomies. In addition, summarizes advancements diagnosis therapeutics.

Язык: Английский

Процитировано

6

The impact of increasing non-albicans Candida trends on diagnostics in immunocompromised patients DOI Creative Commons
Rasha M. Abdel Hamid, Hadir A. El‐Mahallawy,

Nesma E Abdelfattah

и другие.

Brazilian Journal of Microbiology, Год журнала: 2023, Номер 54(4), С. 2879 - 2892

Опубликована: Ноя. 8, 2023

Invasive candidiasis (IC) represents a growing concern worldwide, with considerable increase in non-albicans Candida (NAC) species. The study's primary goal was to determine if species identification by semi-nested PCR (sn-PCR) primers for the five most prevalent is sufficient deal current trends of infections cancer patients. Over one year, isolates were collected from samples patients hematological and solid organ tumors single center. Species identified chromagar multiplex sn-PCR using specific albicans, tropicalis, glabrata, krusei, parapsilosis complex. Most infection episodes are caused NAC (70.5% 105 isolates). Rare (14 isolates) accounted 13.3% not common primers. More than half these rare candidemia (57.1%; p = 0.011). risk factor recent surgeries (p 0.020) adults chemotherapy pediatric 0.006). Prolonged hospitalization genitourinary tract significantly associated invasive 0.005 0.049, respectively). Recent surgery significant C. glabrata (P 0.038 0.003, respectively), while tropicalis more malignancies 0.012). Techniques broader spectrum major crucial optimal management

Язык: Английский

Процитировано

11

Use of proteomic-based MALDI-TOF mass spectra for identification of bacterial pathogens in aquaculture: a review DOI Creative Commons
İfakat Tulay ÇAĞATAY

Aquaculture International, Год журнала: 2024, Номер 32(6), С. 7835 - 7871

Опубликована: Май 14, 2024

Abstract The fisheries and aquaculture sectors are growing rapidly, reflecting their importance in meeting the ever-increasing human population’s demands for animal protein. Production progress this sector, however, is challenging as a result of increased deaths from epidemics caused by bacterial infectious diseases aquaculturally important species. In order to minimize impact such diseases, quick reliable diagnosis pathogens, timely intervention, control disease essential ensure health stocks. Thus, high-throughput proteomics-based matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been used rapid, accurate, species-specific tool identification fish pathogens antibiotic resistance. aim article review evaluate results nearly three hundred papers published 2010 2023 on application MALDI-TOF MS aquaculture, showing that method increasingly over years species-level resistance fifty different gram-positive negative aquatic encountered wild or cultured fish, shellfish, invertebrates, crustaceans. addition, history general principles also mentioned so researchers interested use technology can see all aspects topic.

Язык: Английский

Процитировано

4

Surface-enhanced Raman spectroscopy (SERS) substrates based on biosynthesized silver nanoparticles for identification of various candida species DOI Creative Commons
Yang Xiang, Jie Wu, Fengming Li

и другие.

Alexandria Engineering Journal, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Analysis of Causative Factors and Potential Predictors of Onychomycosis: A Retrospective Single-Center Study in Poland DOI Creative Commons
Andrzej Kazimierz Jaworek, Przemysław Hałubiec,

Anna Wojas‐Pelc

и другие.

Journal of Fungi, Год журнала: 2025, Номер 11(2), С. 131 - 131

Опубликована: Фев. 9, 2025

Onychomycosis is a fungal nail infection which has considerable impact on the quality of life patients. The aim this study was to analyze onychomycosis cases with respect species, sites, and patient demographics such as age sex. Furthermore, we assessed whether simple clinical demographic data could predict positive results for mycological culture. A retrospective analysis 2722 patients who had samples investigated direct microscopy culture performed. fungi most frequently identified were Trichophyton rubrum in toenails Candida albicans fingernails, detailed incidence varying by Predictive models, including logistic regression k-nearest neighbors, did not provide clinically useful accuracy. Therefore, it necessary perform confirmatory diagnostics before starting antifungal treatment.

Язык: Английский

Процитировано

0

Genomics insights of candidiasis: mechanisms of pathogenicity and drug resistance DOI Creative Commons
Xin Huang, Qin Dong, Qi Zhou

и другие.

Frontiers in Microbiology, Год журнала: 2025, Номер 16

Опубликована: Фев. 27, 2025

Candidiasis, a prevalent class of human infections caused by fungi belonging to the Candida genus, is garnering increasing attention due its pathogenicity and emergence drug resistance. The advancement genomics technologies has offered powerful tools for investigating pathogenic mechanisms resistance characteristics Candida. This comprehensive review provides an overview applications in candidiasis research, encompassing genome sequencing, comparative genomics, functional along with features core virulence factors Moreover, this highlights role genomic variations resistance, further elucidating evolutionary adaptive In conclusion, underscores current state research prospective avenues exploration candidiasis, providing theoretical basis clinical treatments public health strategies.

Язык: Английский

Процитировано

0

Development of quick and accurate methods for identifying human pathogenic yeast by targeting the phospholipase B gene, topoisomerase II gene, Candida drug resistance gene, and species-specific ITS 2 DOI Creative Commons
Abdul Hafeez, Muhammad Mushtaq, Muhammad Hanif

и другие.

Journal of King Saud University - Science, Год журнала: 2025, Номер 0, С. 1 - 6

Опубликована: Март 10, 2025

Язык: Английский

Процитировано

0

A Novel Hybrid Approach for Classifying Osteosarcoma Using Deep Feature Extraction and Multilayer Perceptron DOI Creative Commons
Md. Tarek Aziz, Sakib Mahmud, Md Fazla Elahe

и другие.

Diagnostics, Год журнала: 2023, Номер 13(12), С. 2106 - 2106

Опубликована: Июнь 18, 2023

Osteosarcoma is the most common type of bone cancer that tends to occur in teenagers and young adults. Due crowded context, inter-class similarity, variation, noise H&E-stained (hematoxylin eosin stain) histology tissue, pathologists frequently face difficulty osteosarcoma tumor classification. In this paper, we introduced a hybrid framework for improving efficiency three types (nontumor, necrosis, viable tumor) classification by merging different CNN-based architectures with multilayer perceptron (MLP) algorithm on WSI (whole slide images) dataset. We performed various kinds preprocessing images. Then, five pre-trained CNN models were trained multiple parameter settings extract insightful features via transfer learning, where convolution combined pooling was utilized as feature extractor. For selection, decision tree-based RFE designed recursively eliminate less significant improve model generalization performance accurate prediction. Here, tree used an estimator select features. Finally, modified MLP classifier employed classify binary multiclass under five-fold CV assess robustness our proposed model. Moreover, selection criteria analyzed optimal one based their execution time accuracy. The achieved accuracy 95.2% 99.4% Experimental findings indicate significantly outperforms existing methods; therefore, could be applicable support doctors diagnosis clinics. addition, integrated into web application using FastAPI provide real-time

Язык: Английский

Процитировано

10

Characterization of Candida species isolated from clinical specimens: insights into virulence traits, antifungal resistance and molecular profiles DOI Creative Commons

Amal F. Makled,

Sahar Ali, Azza Z. Labeeb

и другие.

BMC Microbiology, Год журнала: 2024, Номер 24(1)

Опубликована: Окт. 5, 2024

Язык: Английский

Процитировано

3