Abstract:

This study examines the challenges of integrating theoretical preparation with practical training in Colleges of

Education, focusing on the Faculty of Education in Tiji, University of Zintan. Using a descriptive-analytical

method, data were collected from 20 faculty members and 33 student teachers through structured questionnaires.

Results showed that both groups face difficulties in linking theory and practice, with faculty members reporting

higher role conflict (M = 3.70) than students (M = 3.39), a statistically significant difference (p = 0.013). The

dominance of theoretical content, limited administrative support, and short practicum periods contribute to this

gap. The study recommends curriculum redesign, better supervision, and investment in modern educational

laboratories to strengthen the connection between academic and professional preparation.

Keywords: Faculties of Education, Faculty Members, Student teachers, Practicum (Practical Training), Role

Conflict of Education

Tabular data is a common format for storing information in rows and columns, representing data entries and their associated features. Existing deep learning models designed for tabular data often rely on uni-dimensional feature selection mechanisms, which fail to adequately capture contextual dependencies of feature importance. This can result in missed crucial interactions, bias towards high-impact features, and limited generalization in attention generalization. To overcome these challenges, this study introduces a novel Iterative Feature Exclusion module that enhances the estimation of feature importance. The proposed module iteratively excludes a single feature from the input data and computes attention scores that represent the impact of each feature on the prediction. By aggregating the attention scores across iterations, the module generates a refined representation of feature importance that captures both the global and local feature interactions. The effectiveness of the proposed module was evaluated on four public datasets, and the results consistently demonstrated its superior performance over state-of-the-art methods and baseline models in both feature ranking and classification tasks.

The code is publicly available at https://github.com/abaraka2020/Iterative-Feature-Exclusion-Ranking-Module and https://github.com/mohalim/IFENet

Background: Gastrointestinal stromal tumors (GISTs) are the major mesenchymal tumors of the gastrointestinal 

tract (GIT), which progress due to the mutation in TKI and PDGFR-α receptors. It shows asymptomatic conditions 

however, become malignant due its large size and produce abdominal pain. Several surgical managements have 

been applied to diagnose patients with GIST, but these increase the risk of tumor recurrent rate. Therefore, 

adjuvant therapies contribute to preventing this challenge with several side effects and post-operative 

complications. A 42-year-old male patient from Libya with acute abdomen and GIST in small bowel (Jejunum) 

was diagnosed with complete excision besides lymph node dissection..Aim: To investigate numerous case reports 

through literature analysis regarding GIST along with a case presentation of the patient. Method: This research 

employed a literature-based study design. Previous case reports were screened from various online research 

platforms, including the National Center for Biotechnology Information (NCBI) and PubMed. A total of 37 cases 

were included through the search phrase "Case report on Gastrointestinal stromal tumor” .. Results: The findings 

revealed patient mean age (56.35) with most of the small intestine GIST (6.42 cm) site of origin, antibodies 

expression, and maximum mitotic cell counts.. Conclusion: The cases reported a risk of recurrence among GIST 

patients due to high mitotic counts and tumor size. Future researchers should address immune markers to reduce 

tumor recurrence among GIST patients. Stakeholders should implement proper treatment procedures with 

effective diagnostic methods. 

Keywords: Gastro-Intestinal Stromal Tumors (GISTs), Perforation, Imatinib, Acute abdomen, Tyrosine Kinase 

Inhibitor (TKI), Small Bowe

poultry industry in Libya has recently experienced significant growth, which is critical for 

improving food security. However, Toxoplasma gondii poses a threat to this industry because it infects warm-blooded 

animals, including poultry. Chickens, particularly free-range chickens, may serve as an important reservoir for T. 

gondii, yet there are no reports regarding the prevalence of this disease in free-range chickens in Libya. Understanding 

the seroprevalence of Toxoplasma in poultry is crucial for mitigating these risks and ensuring the health of the poultry 

industry.

Aim: This study examines the occurrence of T. gondii infection in poultry and evaluates its impact on public health in 

Libya.

Methods: A total of 315 free-range chickens were procured, with blood serum samples collected from the Al-Marj 

(n = 123), El-Bayda (n = 104), and Derna (n = 88) districts. The sera were analyzed using the indirect enzyme-linked 

immunosorbent assay. The chi-square test was used to evaluate a significant correlation between the seroprevalence of 

T. gondii and area, sex, and age.

Results: The overall seroprevalence of T. gondii antibodies was 23.8%. Among the districts, the highest prevalence 

was recorded in Al-Marj (26.8%), followed by El-Bayda (25%) and Derna (18.2%). Male chickens had a higher 

prevalence rate (26%; 25/96) than females (22.8%; 50/219), although no statistical difference was found between the 

genders. Interestingly, older chickens had a significantly higher seroprevalence (39.2%; 31/79) than younger chickens 

(28.6%; 24/84).

Conclusion: In Libya, free-range chickens are a potential source of Toxoplasma infection, with older chickens having 

a significantly higher seroprevalence than younger chickens. These free-range chickens could pose an infection risk 

to humans.