Journals
2026 EN
Bukhari Syed Ibrahim · Akbar Fizza · Kirmani Salman
+3 more
Inherited bone marrow failure syndromes (IBMFS) often present with overlapping features and may be misdiagnosed as idiopathic aplastic anemia (iAA). Genetic testing is critical for accurate diagnosis, especially in consanguineous populations. We retrospectively analyzed 41 pediatric patients who underwent genetic evaluation for suspected bone marrow failure. Clinical features, diagnostic classifications, and genetic findings were reviewed to assess diagnostic yield and impact. The cohort included 21 males and 20 females (median age: 8 years). Pancytopenia was the most common presentation (27/41; 65%), half (20/41; 49%) were products of consanguineous marriage. iAA was the initial diagnosis in 56% (23/41). Genetic testing identified pathogenic/likely pathogenic (P/LP) variants in 14 patients (34%), enabling a molecular diagnosis. An additional 13 patients (32%) had variants of uncertain significance, one of which was later reclassified as LP, confirming Noonan syndrome. Genetic findings prompted diagnostic revisions, including Fanconi anemia, Congenital Amegakaryocytic Thrombocytopenia, Shwachman–Diamond syndrome, and Diamond–Blackfan anemia. Commonly affected genes included MPL, FANCA , followed by DANJC21 . In this Pakistani cohort, genetic testing clarified IBMFS diagnoses in 34% of cases, matching global yields. It enhanced diagnostic precision, informed management, and supported family counseling, though high VUS rates underscore the need for ongoing reclassification and multidisciplinary care.
Journals
2026 EN
Alarood Ala Abdulsalam · Ibrahim Adamu Abubakar
People with disabilities, specifically, those that are having a problem associated with sight or hearing, which falls under the categories of blind and deaf, require technological assistance to move freely. The technological area that is concerned with “Obstacle Detection and Feedback System” can be utilised to address the specific issues of dealing with the abovementioned problems. The growing demand for improved obstacle detection methods has pushed major developments in assistive technologies for people with visual impairments. The information needed and interrelationships among important criteria impacting the efficacy of obstacle detection systems are investigated in this work using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach. Nine critical criteria, including Safety (SF), Accuracy of Detection (AD), Response Time (RT), Ease of Use (EU), Portability (PT), Battery Life (BL), Environmental Adaptability (EA), Cost (CT) and Durability (DD), are used. Data was collected from 21 expert participants through structured questionnaires, and the influence of each criterion was analysed using a total relation matrix. The most influential criteria identified were SF with a total influence score of 42.07, AD (41.08), RT (41.01) and Ease of EU (40.83). Factors such as BL (37.51) and CT (38.54) were found to be dependent on improvements in primary criteria. This study provides a structured decision-making framework to enhance obstacle detection systems by prioritising safety, real-time response and usability. The findings offer practical insights for developing AI-driven assistive technologies, ensuring improved accessibility, efficiency and integration into smart city environments.
Journals
2026 EN
El-Haffaf Ibrahim · Williamson David · Nguyen Van Dong
+9 more
Piperacillin population pharmacokinetic models reportedly perform poorly for critically ill females compared to males. We aimed to explore potential methods that may better adjust for female data during model development. Total piperacillin concentrations were used from a prospective observational study in NONMEM v7.5.1. Two models were developed following different approaches: classic stepwise approach and sex-specific approach. Relationship between covariates and estimated parameters were explored by statistically and graphically assessing their performance on males and females separately. Dosing regimen simulations were also performed separately by sex. A one-compartment model based on data from 70 critically ill patients (49/21 males/females) with 233 concentrations best fit the data with both approaches. Creatinine clearance was the most significant covariate for the classic approach model, while creatinine clearance was best for male patients and estimated glomerular filtration rate was best for female patients with the sex-specific approach. Dosing recommendations were different between male and female patients with the sex-specific model. This study is the first to consider sex-specific covariates during the modeling process for piperacillin in critically ill patients. This approach may help reduce differences in model predictions between males and females in model-informed precision dosing strategies.
Journals
2026 EN
Dogan Ugur · Yilmaz Ibrahim Edhem
AI chatbots show promise for delivering interactive, personalized health education but require validation against traditional methods. This study compared effectiveness of artificial intelligence chatbot versus website-based learning for dry eye syndrome knowledge acquisition among undergraduate nursing students. In this randomized controlled study, participants completed baseline dry eye syndrome questionnaires, then were randomized to artificial intelligence chatbot ( n = 32) or website groups ( n = 31). Over two weeks, artificial intelligence chatbot group received personalized responses via Gemini 2.0, while website groups accessed standardized website content. Post-intervention, both groups completed dry eye syndrome knowledge questionnaire. A comparative analysis evaluated artificial intelligence-generated versus website content for knowledge acquisition, knowledge quality, readability, understandability, and actionability. Both groups showed significant knowledge acquisition, with no significant between-group difference. However, artificial intelligence chatbot responses demonstrated superior knowledge quality in preventive strategies and treatment approaches. AI chatbot showed significantly better readability, understandability, and actionability scores. These results may offer practical strategies for using chatbots not only for knowledge acquisition but also for the digital transformation of nursing education. Artificial intelligence chatbot effectively enhance dry eye syndrome education by improving health promotion through interactive, personalized content.
Journals
2026 EN
Abdel Reheim Mohamed A. M. · El-Gaby Mohamed S. A. · Abdel Hafiz Ibrahim S.
+4 more
The incorporation of isoxazole structural elements into pharmaceutical compounds reflects ongoing efforts by researchers to explore the therapeutic potential associated with this distinctive chemical motif. Owing to its notable reactivity and versatile synthetic potential, 3-phenylisoxazol-5(4H)-one 2 was selected as a key starting material for the synthesis of a series of novel isoxazole and/or fused isoxazole derivatives 3–13 . Their chemical structures were confirmed utilizing various spectroscopic techniques. Additionally, the newly compounds were screened for antimicrobial activities. Furthermore, docking studies were performed against the enzymes E. coli rhomboid protease (PDB ID 3ZMI) and trichodiene synthase from Fusarium (PDB ID 2PS6), using ampicillin and clotrimazole as antibacterial and antifungal standard drugs, respectively. Structure activity relationship (SAR) for compound 11 was rationalized by investigating the effect of substituents on inhibitory potential. Among them, compound 11 demonsrated the strongest antibacterial and antifungal potency with minimum inhibitory concentration (MIC) value (15 µg/mL), comparable to ampicillin and clotrimazole, respectively; making it as a most promising candidate. In the same manner, it also declared the best binding energies comparable to standards. Our work recommends that 11 could be promising lead for development of potent antimicrobial drug candidates.
Journals
2026 EN
Türle İbrahim · Celen Pınar
As key institutions and significant energy consumers, universities have a critical responsibility to lead efforts in energy efficiency and renewable energy use to reduce their environmental impact. In this regard, the Gümüşhane University carbon probe has produced the first study that makes it possible to identify the sources of greenhouse gas emissions and provides the opportunity to track, measure, and suggest reduction strategies in the years to come. The carbon footprint of Gümüşhane University from 2017 to 2023 has been calculated and examined in this paper. The IPCC and DEFRA conversion factors served as the foundation for the computations. The results showed that the university's use of natural gas and electricity was responsible for almost all of its carbon emissions. According to the IPCC and DEFRA, the 2017 emissions were 4999.93 and 4667 tCO 2 e, respectively. Following a move to online instruction in 2020, emissions decreased to 3894 tCO 2 e under DEFRA and 4365.44 tCO 2 e under IPCC. However, as campus life resumed its pre-pandemic pace in 2022 and 2023, emissions rose again, surpassing 5252.04 tonnes of CO₂e by 2023 using the IPCC method and 4042 tonnes of CO₂e using the DEFRA method. These results suggest that universities need to focus on their energy consumption patterns in order to reduce their carbon emissions, for example by placing greater emphasis on renewable energy sources, energy efficiency, and balanced consumption. The outcomes of this research will act as a guideline not only for Gümüşhane University to help it reach its sustainability goals, but also for other university administrations when formulating effective carbon reduction strategies, and for institutions seeking to measure or benchmark their environmental performance.
Resource
2026 EN
Awad-Allah Eman F. A. · Mohamed Ibrahim A. A.
The growing global demand for sustainable vegetable production has accelerated the adoption of hydroponic systems, which can reduce water use by up to 90% compared with conventional soil-based agriculture while enabling year-round cultivation. However, conventional hydroponics depends heavily on mineral fertilizers derived from finite resources, raising concerns about long-term sustainability. Organic hydroponics has emerged as a promising alternative by substituting synthetic fertilizers with bio-based inputs such as compost teas, fish hydrolyzates, and digestates, while integrating microbial processes that enhance nutrient cycling and plant growth. This review synthesizes current knowledge on organic nutrient dynamics in hydroponic vegetable systems, with emphasis on nutrient solution formulation, bioavailability, and crop uptake efficiency. Microbial communities are highlighted as crucial mediators of mineralization, nutrient-use efficiency, and pathogen suppression, although their functional roles remain insufficiently characterized. Resource-oriented strategies such as water quality management, recycling of spent nutrient solutions, and valorization of waste streams through composting, vermicomposting, anaerobic digestion, and nutrient recovery technologies are assessed as key enablers of circular agriculture. Key challenges include balancing nutrient release with plant demand, stabilizing organic solutions, maintaining food safety, and harmonizing policy and certification frameworks. Integrating standardized formulations, microbial innovations, and waste recovery can advance sustainable intensification, resilience, and food security.
Journals
2026 EN
Mohammed Ibrahim · Denizci Guillet Basak
Hotel companies implement online upselling with the motive of increasing revenue per customer. However, several unknowns exist regarding selecting the right customers for online upselling and quantifying the impact of these decisions on incremental revenues. This study applied a two-step analytical approach involving logit regression and propensity score matching to analyze longitudinal online upselling bidding data. The purpose was to uncover factors influencing a hotel’s online upselling decisions and their impact on the multiple revenue-generating points: rooms, food and beverage, and other facilities and services. The results show that upselling bids from repeated and long-haul guests are more likely to be accepted, while upselling bids with Saturday-night stay(s) and longer stay lengths are less likely to be accepted. The bidding time, the number of bids and the average amount of bids also increase the odds of acceptance. Upsell decisions based on these factors positively impacted revenue per customer from rooms, other amenities and services, and total revenue by an average of 48%, 84%, and 42%, respectively. These insights can be leveraged to target valuable customers for upselling.
Journals
2026 EN
Essahraui Siham · Ouahbi Ibrahim · Makkaoui Khalid El
+1 more
In Moroccan higher education, the integrity of examinations is paramount, yet it faces the persistent challenge of identity impersonation. This form of academic dishonesty not only undermines the credibility of educational institutions but also contributes to the graduation of incompetent students. In an era where artificial intelligence is revolutionizing various sectors, its application to upholding academic integrity is both timely and essential. This paper proposes an advanced deep learning-driven fingerprint verification model specifically designed to combat impersonation in university examinations. Unlike traditional methods, our model leverages the power of Siamese neural networks (SNN), renowned for their effectiveness in learning distinct features and similarities. The model, trained, validated, and tested using the SOCOFing dataset, demonstrated high accuracy and effectiveness in fingerprint identification, crucial for verifying identities in educational exam settings. It achieved an accuracy of 99.29%, and an F1 score of 99.27%, surpassing other systems and significantly contributing to examination integrity in Moroccan higher education.
Journals
2026 EN
Ibrahim Shahad · Sandt Adrian · Al-Deek Haitham
+3 more
Wrong-way driving (WWD) crashes often result in fatalities. Understanding these crashes can help agencies reduce traffic fatalities and get closer to Target Zero. Arterial WWD crashes (AWWCs) are more prevalent than limited-access WWD crashes, but few studies have focused specifically on AWWCs. This paper examines AWWCs using a corridor methodology rather than analyzing segments and intersections separately. By understanding the relationships between AWWC frequency, corridor-level features (geometric design, traffic volumes, signage, medians, and lighting), and approach-level features (signage, lighting, and pavement markings on approaches entering the corridor), agencies can implement appropriate treatments. Among various regression models fitted to the data, a negative binomial model with corridor length as an offset variable was found to outperform other models. One-way corridors, more non-crash WWD computer-aided dispatch events, more through lanes, higher corridor left-turn lane densities, lower vegetation median proportions, and lower lighting overlap proportions were estimated to increase mean AWWC frequency. Ten hotspot corridors were examined in detail. These hotspots were characterized by a high through lane count, high left-turn lane density, and low lighting continuity on both sides. This study aids agencies in identifying factors which influence AWWCs and pinpointing hotspot corridors for targeted safety improvements to reach Target Zero.