The phenomenon of big data has become a defining characteristic of the technological age. Consequently, new challenges arise, including the types of data and the scale of the information available; traditional relational databases frequently prove inadequate in addressing these demands, resulting in the proliferation of NoSQL databases. This research presents a comprehensive review of NoSQL-based systems and their methodologies for managing extensive data. Furthermore, this study examines the primary categories of NoSQL databases, their optimal attributes, and their strategies for addressing the contemporary "5Vs" of Big Data: volume, velocity, variety, value, and veracity. Additionally, the research highlights the opportunities presented by NoSQL technologies in emerging fields, such as the Internet of Things (IoT), artificial intelligence, and machine learning, alongside the associated risks, including trade-offs in consistency, security challenges, and the lack of standardization. By integrating classification, comparison, and analysis, this review offers a unified perspective that can aid researchers and practitioners in the effective selection and implementation of NoSQL solutions within Big Data contexts.

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.

This study reports the development of a new series of pyrazolo[4,3-b] pyridine and pyrazolo[1,5-a] pyrimidine derivatives designed as potential antischistosomal agents. A diverse set of fused nitrogen-containing heterocycles was successfully obtained and subjected to preliminary biological relevance assessment based on their structural features. These newly synthesized frameworks, belonging to scaffolds previously associated with notable antimicrobial and antiparasitic properties, demonstrate promising potential for further evaluation against Schistosoma species. The findings highlight the value of these heterocyclic systems as candidates for developing alternative therapies to complement existing schistosomiasis treatment strategies

Keywords: Pyrazolopyridines; Pyrazolopyrimidines; Heterocyclic synthesis; Condensation reactions

(E)-2-(naphthalen-1-yldiazenyl) malononitrile (NDMN) was synthesized via a diazotization–coupling reaction and evaluated for its antibacterial activity against methicillin-resistant Staphylococcus aureus (MRSA) and Escherichia coli. The compound showed strong, concentration-dependent antibacterial activity, with significantly higher efficacy against MRSA than E. coli, as confirmed by disc diffusion, MIC, and MBC assays. These results suggest that NDMN is a promising synthetic antimicrobial agent, particularly against Gram-positive resistant bacteria, and merits further biological and toxicity investigations.

The rise of multidrug-resistant (MDR) bacteria poses a significant challenge to the antibacterial efficacy of the

produced chemical, (2-(2-(2-nitrophenyl) diazinyl) malononitrile), which is generated from malononitrile and a

diazo moiety. The molecule was synthesized using the diazotization of 2-nitroaniline, followed by coupling with

malononitrile, resulting in NPDAM with an 85% yield and a melting point of 123-125 °C. The substance at

concentrations of 1, 5, and 10 mg/mL was assessed against methicillin-resistant Staphylococcus aureus (MRSA)

(SA121) and Escherichia coli (EC49). The chemical exhibited efficacy against MRSA at varying doses, yielding

clear zones of 29.6, 32.6, and 33.0 mm, in contrast to E. coli at the same concentrations, which produced clear

zones of 10, 11.6, and 14.6 mm, respectively. The microdilution technique was employed to ascertain the

minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) values. The compound

exhibited low minimum inhibitory concentration (MIC) values against MRSA at concentrations of 1 and 5 mg/mL

(19.5 and 4.89 μg/mL, respectively), in contrast to E. coli, which demonstrated inhibition at 39.0 and 9.78 μg/mL

at the same concentrations. Additionally, it yielded the lowest MIC values (0.97 μg/mL) against both bacteria at

a concentration of 10 mg/mL. The MBC values against MRSA ranged from 39.0 to 1.95 μg/mL, while against

E. coli, the MBC values were slightly lower, ranging from 78.1 to 1.95 μg/mL. In conclusion, all chemical

concentrations exhibited activity against the studied microorganisms, indicating their potential as antimicrobial

agents.

Keywords: Malononitrile, Diazo compounds, antimicrobial activity, MRSA, E. coli.