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Abstract Background Body image has gained increasing importance in recent times due to the fact that it is commonly recognized that having body dissatisfaction is a major indicator of eating disorders. The development of dissatisfaction with the body can often be attributed to perceived societal expectations and pressures to adhere to idealized appearance standards. The purpose of the study is to examine the relationship between social media usage and family attitude influences on eating behavior and body image satisfaction in both male and female students. The design of this study was cross-sectional to collect data from 620 students in different faculties and academic disciplines within King Abdulaziz University. Participants completed a self-reported questionnaire to measure the Eating Attitude Test, social media exposure, Body Shape Questionnaire, family influence scale, and body satisfaction. Results Among the participants, 41.1% of students are at risk of eating disorders, and 25.2% have marked concern with body shape. The correlational analysis identified significant correlations as eating disorder score demonstrated negative correlations with the Family Influences Scale, Body Shape Questionnaire, body satisfaction, and social media (r = 0.455, r = 0.388, r = 0.388, and r = 0.373, respectively) and positive correlations with the with body mass index (r = 0.166). The Family Influences Scale score displayed positive correlations with the body shape questionnaire (r = 0.487), body satisfaction (r = 0.487), and media (r = 0.582) and negative correlations with body mass index (r = 0.289). Conclusion The study highlighted the influential roles of both the media and family in shaping eating habits and body image satisfaction. Also, the results indicated that eating disorders and concerns related to the body are highly prevalent among students. Accordingly, parents and educators should identify the risks of media and eating disorders and encourage them in seeking therapy.

Abstract Crithmum maritimum (sea fennel), is a halophytic plant species found globally in coastal environments. This study is the first investigation into the chemical composition and biological activities of C. maritimum growing wildly in Jebel Akhdar, Libya. Gas Chromatography-Mass Spectrometry (GC-MS) analysis was utilized to identify and profile the plant’s volatile components; it resulted in the identification of twenty-four components, representing 99.17% of the total peaks in the GC-MS chromatogram. The analysis revealed that thymyl methyl ether, γ-terpinene, and ledene oxide, were the major volatile constituents of the plant at relative percentage levels of 56.86, 16.17, and 4.32%, respectively. The analysis also indicated substantial variations in the volatile composition of C. maritimum Libyan species compared to those from various geographic regions. The plant’s volatile oil quality was evaluated by investigating its in vitro antioxidant activity and the oil’s ability to inhibit acetylcholinesterase (AChE) and tyrosinase enzymes. The oil markedly scavenged the free radicals and reduced the ferric ions in the DPPH and FRAP assays at levels of 34.30 ± 0.10 and 38.90 ± 0.51 Trolox equivalents, respectively. The plant’s volatile oil has substantially reduced the AChE at the IC50 value of 34.43 ± 0.25 compared to its effect against tyrosinase (IC50 12.449 ± 0.68). The in silico approach was used to highlight the mechanisms underlying the enzyme inhibitory effect of the plant volatile oil. The stigmastene and γ-santonin demonstrate stronger binding affinity towards AChE and tyrosinase compared to the co-crystalized controls, donepezil and tropolone. The study provides significant information for the environmental changes effect on the volatile constituents of C. maritimum and highlights the plant’s importance within the scope of its antioxidant and enzyme inhibition activities.

Abstract Introduction Balance impairment is one of the common impairments in patients after stroke. It can lead to depression reduced speed of mobility, dependent on assistive device and reduce quality of life. However, evidence on balance impairment and its risk factors among stroke survivors in Ethiopia was lacking particularly in the study area. Therefore, this study aimed to investigate prevalence and associated factors of balance impairment among stroke survivor’s attendee at an outpatient clinic in Amara regional state comprehensive specialized hospital. Methods An institutional based cross-sectional study was conducted from April1-June 30, 2022. A total of 400 participants were selected using the systematic random sampling technique. Standard Berg balance scale tool and semi-structure questionnaire was used. Multicollinearity and model fitness were checked. Variables with a p-value of less than 0.25 in the Bivariable regression were entered into a multivariable logistic regression and p value

Abstract The interconnectedness of African philosophical principles of Ubuntu with generative artificial intelligence may provide an inclusive approach to distance higher education. This fusion may improve and provide customised learning, access quality education, collaboration, inclusivity, strengthens lecturer support and development, and a culturally relevant experience that acknowledges the communal interests of all stakeholders. Generative artificial intelligence promotes epistemological access for all students irrespective of their diverse social, financial, and linguistic backgrounds and redefines higher education experiences and practices while the principles of Ubuntu prioritise the well-being of stakeholders. The objective of this conceptual article was to explore the interconnectedness between Ubuntu principles and generative artificial intelligence perspectives in distance higher education institutions to reimagine methods of teaching and learning. This article is grounded in the theory of the Ubuntu principles and advocates for a paradigm shift in higher education practices. It contends that integrating African philosophical principles into the implementation of generative artificial intelligence’s learning provides a more inclusive and culturally relevant approach to education. The notable highlights confirm that Ubuntu principles dismantle oppressive systems, restore self-determination for all students and promote change and reconciliation through the use of generative artificial intelligence. This approach can be applied to distance higher education institutions to create inclusive learning experiences that gives precedence to a sense of belonging, mutual support, and ethical considerations.

Abstract MRI imaging primarily focuses on the soft tissues of the human body, typically performed prior to a patient's transfer to the surgical suite for a medical procedure. However, utilizing MRI images for tumor diagnosis is a time-consuming process. To address these challenges, a new method for automatic brain tumor diagnosis was developed, employing a combination of image segmentation, feature extraction, and classification techniques to isolate the specific region of interest in an MRI image corresponding to a brain tumor. The proposed method in this study comprises five distinct steps. Firstly, image pre-processing is conducted, utilizing various filters to enhance image quality. Subsequently, image thresholding is applied to facilitate segmentation. Following segmentation, feature extraction is performed, analyzing morphological and structural properties of the images. Then, feature selection is carried out using principal component analysis (PCA). Finally, classification is performed using an artificial neural network (ANN). In total, 74 unique features were extracted from each image, resulting in a dataset of 144 observations. Principal component analysis was employed to select the top 8 most effective features. Artificial Neural Networks (ANNs) leverage comprehensive data and selective knowledge. Consequently, the proposed approach was evaluated and compared with alternative methods, resulting in significant improvements in precision, accuracy, and F1 score. The proposed method demonstrated notable increases in accuracy, with improvements of 99.3%, 97.3%, and 98.5% in accuracy, Sensitivity and F1 score. These findings highlight the efficiency of this approach in accurately segmenting and classifying MRI images.

Abstract Classification of pathogenic E. coli has been focused either in mammalian host or infection site, which offers limited resolution. This review presents a comprehensive framework for classifying all E. coli branches within a single, unifying figure. This approach integrates established methods based on virulence factors, serotypes and clinical syndromes, offering a more nuanced and informative perspective on E. coli pathogenicity. The presence of the LEE island in pathogenic E. coli is a key genetic marker differentiating EHEC from STEC strains. The coexistence of stx and eae genes within the bacterial genome is a primary characteristic used to distinguish STEC from other pathogenic E. coli strains. The presence of the inv plasmid, Afa/Dr adhesins, CFA-CS-LT-ST and EAST1 are key distinguishing features for identifying pathogenic E. coli strains belonging to EIEC, DAEC, ETEC and EAEC pathotypes respectively. Food microbiological criteria differentiate pathogenic E. coli in food matrices. ‘Zero-tolerance’ applies to most ready-to-eat (RTE) foods due to high illness risk. Non-RTE foods' roles may allow limited E. coli presence, which expose consumers to potential risk; particularly from the concerning Shiga toxin-producing E. coli (STEC) strains, which can lead to life-threatening complications in humans, including haemolytic uremic syndrome (HUS) and even death in susceptible individuals. These findings suggest that decision-makers should consider incorporating the separate detection of STEC serotypes into food microbiological criteria, in addition to existing enumeration methods. Contamination of STEC is mainly linked to food consumption, therefore, outbreaks of E. coli STEC has been reviewed here and showed a link also to water as a potential contamination route. Since their discovery in 1982, over 39,787 STEC cases associated with 1,343 outbreaks have been documented. The majority of these outbreaks occurred in the Americas, followed by Europe, Asia and Africa. The most common serotypes identified among the outbreaks were O157, the ‘Big Six’ (O26, O45, O103, O111, O121, and O145), and other serotypes such as O55, O80, O101, O104, O116, O165, O174 and O183. This review provides valuable insights into the most prevalent serotypes implicated in STEC outbreaks and identifies gaps in microbiological criteria, particularly for E. coli non-O157 and non-Big Six serotypes.

Abstract Periprosthetic joint infection (PJI) after total knee arthroplasty is a complication that affects approximately 2–3% of patients. The management of this issue is complicated and expensive for both the patients and the healthcare system. Multiple management options are available including antibiotic suppressive therapy, surgical management, and salvage procedures. Surgical management is considered a popular option for treating PJI, with multiple available surgical techniques, including single-stage revision arthroplasty and two-stage revision arthroplasty among others. Two-stage revision has been considered the gold standard for treating PJI. This method consists of two surgical procedures with a time interval in between, the first procedure aims to eradicate the infection along with implanting either a static or a mobile spacer, while the second intervention aims to remove the spacer and implant a new prothesis. During the interval period the patient is closely monitored through a handful of laboratory tests and clinical signs that help in assessing the optimal time of undertaking the second stage. However, in recent years, the single-stage method has gained much attention for its comparable outcomes and fewer complications. Contrary to the two-stage method, the single-stage approach consists only of one procedure in which the old infected prosthesis is removed and a new one is implanted. Many articles have compared the two methods over the years but have not agreed on a particular approach to be more potent in eliminating infection and providing better outcomes. Plenty of questions are yet to be answered regarding the two methods, including the superior type of spacer, interim period duration, and single-stage revision inclusion criteria. We herein, aim to address these issues, highlighting recent advances in managing this morbid complication and discussing controversial topics in the staged procedures.

Abstract The Wireless Sensor Network needs to become a dynamic and adaptive network to conserve energy stored in the wireless sensor network node battery. This dynamic and adaptive network sometimes are called SON (Self Organizing Network). Several SON concepts have been developed such as routing, clustering, intrusion detection, and other. Although several SON concepts already exist, however, there is no concept for SON in dynamic radio configuration. Therefore, the authors’ contribution to this field would be proposing a dynamic and adaptive Wireless Sensor Network node radio configuration. The significance of their work lies in the modelling of the SON network that builds based on our measurement in the real‐world jungle environment. The authors propose input parameters such as SNR, the distance between the transmitter and receiver, and frequency as the static parameter. For adaptive parameters, we propose bandwidth, spreading factor, and its most important parameter such as power for data transmission. Using the Levenberg Marquardt Artificial Neural Network (LM‐ANN) self‐organise Network model, power reduction and optimisation from 20 dBm to 14.9 dBm for SNR 3, to 11.5 dBm for SNR 6, and to 12.9 dBm for SNR 9 all within a 100‐m range can be achieved. With this result, the authors conclude that we can use LM‐ANN for the wireless sensor network SON model in the jungle environment.

Abstract Background: This study observes fetal, pregnancy, and maternal outcomes with different regimens of Magnesium sulphate (MgSO 4 ), used for prophylaxis and treatment of convulsions in eclampsia. Methods: In this observational study, the current prescribing practice and management outcomes of pre-eclampsia/eclampsia were observed in three tertiary care hospitals in Lahore, Pakistan.Data were collected by using data collection form, containing information related to patient demographics, history, laboratory findings, drug administration record, and therapeutic outcomes for pregnancy, fetus, and mother. Results: Of the 50 patients studied, most (74%) were of eclampsia. The mean age of the patients was 25.7 (+5.05) years with the majority (36%) in the age range 21–25 years. Forty-one patients received MgSO 4 , of which most received the Pritchard regimen (n = 35), whereas only 5 patients were managed with Zuspan regimen. Liner logistic analysis revealed better fetal outcomes (OR 0.217, CI –0.283 – 1.543) and pregnancy outcomes (OR 0.186, CI –0.164 – 0.635) with Zuspan regimen as compared to Pritchard. Whereas, both regimens showed no difference in maternal outcomes (OR 0.044, CI –0.129 – 0.170). Conclusion: Zuspan regimen proved to be better in morbidity and mortality associated with eclampsia. Additionally, national as well as institutional guidelines should be developed, implemented, properly monitored, and evaluated for management of pre-eclampsia/eclampsia. Mandatory in-service training and expertise should be provided for health professionals at all levels of the healthcare system, especially those working in gynecological setup.

BACKGROUND: Non-communicable diseases (NCDs) are a major public health challenge globally, including in Saudi Arabia. However, measuring the true extent of NCD prevalence has been hampered by a paucity of nationally representative epidemiological studies. OBJECTIVES: Assess the prevalence of selected NCDs, using population-based electronic health records and applying novel analytical methods to identify cases of NCDs. DESIGN: Retrospective SETTINGS: A large healthcare network in Saudi Arabia. PATIENTS AND METHODS: We included all beneficiaries aged 16 years or older (n=650 835[a]) and used the International Classification of Disease (ICD-10) codes, laboratory results, and associated medications to identify individuals with diabetes, obesity, hypertension, dyslipidemia, mental disorders, and injuries. For diabetes and hypertension, we used natural language processing (NLP) on clinical notes in the electronic health records. The prevalence of multimorbidity across age groups was also tabulated, and logistic regression was used to examine its association with glycemic control. MAIN OUTCOME MEASURES: The primary outcomes measured were the prevalence of diabetes, hypertension, and multimorbidity, and their association with glycemic control. SAMPLE SIZE: 650 835 individuals aged 16 years or older. RESULTS: The study population was relatively young, with 41.2% aged between 26 and 45 years, and around two-thirds were married. The prevalence of diabetes and hypertension was 18.5% (95% CI: 18.5-18.7) and 13.0% (95% CI: 12.9-13.1), respectively. Approximately 26.7% (95% CI: 26.7-26.8) of the population had multimorbidity, with levels increasing to 62.9% for those aged 65 or older. Multimorbidity was associated with a four-fold increase in the likelihood of poor glycemic control. NLP analysis suggested that the prevalence of diabetes or hypertension may be underestimated by no more than 1.5%. CONCLUSIONS: The study suggests a higher prevalence of NCDs than earlier national estimates. Electronic health records with regular analysis provide an opportunity to estimate changes in the prevalence of NCDs in Saudi Arabia. Health policies and interventions are needed to address the high levels of multimorbidity, which adversely impact glycemic control. LIMITATIONS: Retrospective design and reliance on electronic health records, which may not capture all cases of NCDs.

Abstract Ephedra alata Decne is a medicinal plant widely used in traditional medicine for the management of bronchial asthma and cancer. Phytochemical analysis and biological activities, including antioxidant and anticancer effects, were investigated in the current work as new findings for the plant E. alata, a species growing wildly in the marsh and saline environments of the central area of Saudi Arabia. The Ultra Pressure Liquid Chromatography coupled with Electron spray ionization-Quadropole-Time of flight (UPLC-ESI-Q-TOF) system was used for the phytochemical analysis of the plant constituents. In addition, Polyphenolic profiling including the total phenolic (TPC) and flavonoid (TFC) contents of the plant extracts were measured. Phenolic acids were found at the highest relative percentages among all the identified compounds and were measured at 66.07 mg GAE (Gallic acid equivalent). The UPLC analysis of the E. alata extract indicated the presence of chlorogenic acid, syringic acid, caffeic acid, vanillic acid, rosmarinic acid, umbelliferone, isorhoifolin, and apigenin at the highest relative percentages. Mineral analysis indicated that the microelement content of E. alata was relatively low, except for magnesium (Mg). In vitro antioxidant assays revealed the ability of the plant to scavenge DPPH free radicals, reduced molybdenum ions, and ferrous at levels of 14.63, 19.97, and 27.78 mg Trolox equivalents, respectively. The extract induced transition metal chelation at 31.36 mg EDTA equivalents. The extract induced cytotoxic effects against MDA-231 and A549 cell lines at IC50 levels of 25.31 and 39.81 µg/mL, respectively. The plant extract inhibited the colonization and migration of cancer cells as part of its potential anticancer effects. In addition, major E. alata constituents like isorhoifolin, chlorogenic acid, apigenin, and rosmarinic acid exhibited the lowest binding energy to the CAIX enzyme at − 8.41, − 6.64, − 6.32, and − 6.26 kcal/mol, respectively, compared to the binding energy (− 7.72 kcal/mol) of the co-crystallized ligand (Y0R). The docking results further supported the selection of the CAIX enzyme as a standard predictive therapeutic target, since it exhibited significant binding interactions with the major constituents of the plant.

Background: Thyroid cancer, the most common endocrine neoplasm, has a strong female predominance. There has been a steady increase in the incidence of thyroid cancer worldwide. This study aimed to investigate the prevalence of thyroid cancer and identify its predominant histological subtypes in the Aljuf region of Saudi Arabia. The study findings and new data obtained will contribute to advancing knowledge about thyroid cancer at the national level. Methods and Results: This retrospective, cross-sectional descriptive study was conducted in Sakaka, Aljouf region, Saudi Arabia. Data from thyroid specimens collected at King Abdul-Aziz Specialist Hospital and Prince Mutaib Hospital between January and December 2022 was analyzed. Among 3102 histopathological samples and 298 cytology samples received in both hospitals, 181 were thyroid specimens: histopathology samples [63(34.8%)] and fine-needle aspiration (FNA) samples for cytological diagnosis [118 (65.2%)]. The age of patients with thyroid disorders ranged from 17 to 69, with a mean age of 38.4 ± (SD)1.2 years. The highest percentage, 76(42%), were in the age group over 40. The majority of patients with thyroid disorders, 139 (76.8%), were women compared to 42(23.2%) men, giving a female-to-male ratio of 3.3: 1. 165(91.2%) of the study population were Saudi patients, while the non-Saudis represented only 16(8.8%) cases. Among 181 thyroid specimens, thyroid cancer was diagnosed in 33 patients (18.2%), benign tumors in 43 patients (23.8%) [follicular adenoma 39 (90.7%) and Hürthle cell adenoma 4 (9.3%)], goiter in 96 (53.0% cases), Hashimoto's thyroiditis in 6 cases (3.3%), and chronic lymphocytic thyroiditis in 3 cases (1.7%). The age of patients with thyroid cancer ranged from 20 to 57 years, with a mean age of 36.9 years. There were 25 (75.8%) females versus 8 (24.2%) males, with a ratio of 3.1:1. Papillary thyroid carcinoma was the most frequent histological subtype among patients with thyroid cancer, accounting for 75.8%, while follicular thyroid carcinoma represented 24.2%. Among 155 cancer cases, thyroid cancer ranked third (21.3%) after breast cancer (26.4%) and colon adenocarcinoma (23.9%). Conclusion: Thyroid pathology, including cancer, is notably prevalent among females and older age groups in the Al-Jouf region. Thyroid carcinoma is the third most diagnosed cancer type after breast carcinoma and colon adenocarcinoma in Al-Jouf in 2022. Papillary thyroid carcinoma is the most frequent histological subtype among Saudi patients with thyroid cancer.

Gum Arabic is the most important non-wood forest product of Sudan, and therefore use of a sustainable harvesting tool can significantly improve its gum quality. We conducted a study in North and West Kordofan of Sudan to assess the performance, use, and efficiency of the newly designed harvesting tool, and to understand the level of its adoption by the gum Arabic producers. Data were collected through a structured questionnaire, and by group discussion involving 44 trained gum producers by a purposive selection method. Besides, we conducted another field experiment to understand the pattern of gum falling (in and out) of the new harvesting tool during collection. Descriptive statistics were applied using SPSS and Microsoft Excel. The findings of the study showed that 72.7% of respondents were happy while using the new harvesting tool, and 95.5% stated that the tool was well performed. Further, 59.1% of respondents stated that the new harvesting tool is much better than old tools and as many as 61.4% of respondents indicated that the new tool can harvest all gums in a tree. Additionally, 63.6% of the respondents mentioned it was more efficient than the traditional tools. Likewise, 88.6% of respondents stated that the new harvesting tool improved safety. Further, the results indicated a significant correlation (p ≤ 0.01) between nodules fall in harvesting tool and picking time, as well as between picking time and number of branches. The overall results indicated that the new harvesting tool is innovative in terms of ensuring safety, and reducing collection time while improving gum quality. The research recommends the replacement of the traditional tools with this new harvesting tool for sustainable gum Arabic harvesting in Sudan.

Electrolytic Manganese Residue (EMR) is a secondary material generated during the process of manganese production, poses significant environmental challenges, including land consumption and contamination threats to soil and water bodies due to its heavy metal content, soluble manganese, ammonia nitrogen, and disposal issues. This review thoroughly examines EMR, emphasizing its metallurgical principles, environmental impacts, and sustainable treatment methods. We critically analyze various approaches for EMR management, including resource recovery, utilization of construction materials, and advanced treatment techniques to mitigate its environmental challenges. Through an extensive review of recent EMR-related literature and case studies, we highlight innovative strategies for EMR valorization, such as the extraction of valuable metals, conversion into supplementary cementitious materials, and its application in environmental remediation. Our findings suggest that integrating metallurgical principles with environmental engineering practices can unlock EMR’s potential as a resource, contributing to the circular economy and reducing the environmental hazards associated with its disposal. This study aims to deepen the understanding of EMR’s comprehensive utilization, offering insights into future research directions and practical applications for achieving sustainable management of electrolytic manganese waste. Finally, we propose some recommendations to address the issue of EMR, intending to offer guidance for the proper disposal and effective exploitation of EMR.

Background: The COVID-19 pandemic has had a significant impact globally, and understanding the relationship between inflammatory markers and disease progression is crucial for effective management. This retrospective study aimed to examine the association between various inflammatory markers, such as C-reactive protein (CRP), the erythrocyte sedimentation rate (ESR), lactate dehydrogenase (LDH), D-dimer, ferritin, and procalcitonin (PCT), and the characteristics of disease progression and outcomes in individuals affected by COVID-19. Methods: This study collected raw data from 470 patients who tested positive for SARS-CoV-2 using RT-PCR. Results: The logistic regression analysis revealed that elevated LDH levels were associated with male gender, ICU admission, low oxygen saturation (O2 < 93%), the need for mechanical ventilation, death, and the presence of lung infiltrates. Higher D-dimer levels were associated with older age, diabetes mellitus, cardiac disease, and low oxygen saturation. Ferritin levels were significantly associated with older age, ICU admission, low oxygen saturation, mechanical ventilation, and lung infiltrates. In contrast, CRP was only significant regarding lung infiltrates and procalcitonin levels were not significantly associated with any of the examined factors. Conclusion: This study highlights the importance of monitoring key inflammatory markers, such as LDH, D-dimer, and ferritin, as they are significantly associated with the severity of COVID-19 illness. These findings can inform clinical decision-making and guide the development of targeted interventions to improve patient outcomes.

Abstract Background Hypertensive disorders of pregnancy (HDP) pose a substantial public health concern, ranking among the primary contributors to maternal and perinatal morbidity and mortality, impacting around 5–10% of pregnancies. This study aimed to determine the prevalence of HDP and its associated factors among mothers aged 15–49 who recently gave birth within the last two years, throughout Malaysia, informing effective public health and primary care interventions. Methods This study was a part of the national survey on maternal and child health (MCH) also known as the National Health and Morbidity Survey (NHMS) 2022: MCH. This was a cross-sectional study using two stage stratified random sampling design. Data of mothers aged 15–49 years old who recently gave birth within the last two years were selected in this study. This survey utilised a set of structured validated questionnaires administered via face-to-face interviews (using a mobile device). Multiple logistic regression analysis was employed to identify the associated factors for hypertension. Results Among 6 335 participants recruited for this study with an estimated population of 782, 550, the prevalence of HDP among Malaysian mothers aged 15–49 years old who recently gave birth within the last two years was 6.5% (95% CI: 5.76, 7.37). Multiple logistic regression showed that maternal age and ethnicity were significantly associated with hypertension. Advanced maternal age had higher odds of hypertension, with an aOR of 2.18 (95% CI = 1.75, 2.71). In addition, Other Bumiputera had higher odds of hypertension (aOR = 2.71, 95% CI = 1.25, 5.87). Conclusion This study reveals the prevalence of HDP among Malaysian women with children under 2 years old, emphasizing advanced maternal age (above 35) and ethnicity as notable risk factors. It improves understanding of the epidemiology of HDP in Malaysia, offering valuable insights for the development of effective public health strategies and clinical interventions that can help with the control of HDP.

Bayan H Sajer,1,2 Wafa A Alshehri,3 Sahar S Alghamdi,4,5 Rasha S Suliman,6 Alhanouf Albejad,3 Haifa Hakmi3 1Biology Department, Faculty of Science, King Abdul Aziz University, Jeddah, Saudi Arabia; 2Immunology Unit, King Fahd Medical Research Centre, King Abdulaziz University, Jeddah, Saudi Arabia; 3Department of Biological Sciences, College of Science, University of Jeddah, Jeddah, 23890, Saudi Arabia; 4Department of Pharmaceutical Sciences, College of PharmacyKing Saud Bin Abdul Aziz University for Health Sciences (KSAU-HS), Riyadh, Saudi Arabia; 5King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; 6Pharmacy department, Fatima College of health sciences, Abu Dhabi, United Arab EmiratesCorrespondence: Bayan H Sajer, King Abdul Aziz University, P.O. Box 80200, Jeddah, 21589, Saudi Arabia, Email bsajer@kau.edu.saIntroduction: This study aimed to investigate the fungal growth and diversity in the Sabkha marsh. The anti-bacterial properties of the isolated fungi were assessed using an agar disk diffusion assay, and the crude extracts were tested for their anticancer activities. Liquid chromatography-mass spectrometry was employed to identify the active compounds of the fungal secondary metabolites. In-silico studies were conducted to predict the toxicity, pharmacokinetic properties, and safety profiles of the identified compounds.Results: The analysis revealed that the isolated fungi belonged to the Aspergillus species, specifically Aspergillus flavus and Aspergillus niger. The crude extract of A. flavus exhibited significant anticancer activity against various cancer cell lines, while the antifungal activities against pathogenic bacteria varied between the two fungi. Liquid chromatography-mass spectrometry analysis identified several compounds in the fungal isolates. In Aspergillus flavus, the compounds included Aflavinine, Dihydro-24-hydroxyaflavinine, Phomaligin A, Hydroxysydonic acid, Gregatin B, Pulvinulin A, Chrysogine, Aspergillic acid, Aflatoxin B1, and Aflatoxin G1. In Aspergillus niger, the compounds identified were atromentin, fonsecin B, firalenone, rubrofusarin, aurasperone E, aurasperone D, aurasperone C, nigerone, and αβ-dehydrocurvularin.Conclusion: This study demonstrated promising fungal growth and diversity in the Sabkha marsh, with Aspergillus species being the most prevalent. The fungal crude extract showed anticancer activities against various cancer cell lines, while the antifungal activities against pathogenic bacteria varied between the two fungi. Future research should focus on investigating the antimicrobial activities of these fungi against multidrug-resistant bacteria and exploring the genetic changes in bacteria and cancer cells treated with these fungal extracts. Additionally, it is important to test the anticancer activity of the active compounds separately to determine which one is the active agent against cancer cells. This information can be used in drug development trials. Keywords: saline environment, biological activity, Aspergillus genus, microbial isolation, antimicrobial screening

The number of individuals with dementia is on the rise, highlighting the need to create effective educational methods that can improve nursing students' understanding and attitude toward this group of people who require special care. Explore the effectiveness of introducing a new curricular course in improving nursing students' knowledge of and attitudes toward people living with dementia and the provision of care for them. A pretest-posttest quasi-experimental design was used. After the introduction of dementia lectures, both study groups had a significant improvement in knowledge and attitude toward people living with dementia (P [less than or equal to] 0.05). Adding clinical experience did not significantly enhance knowledge. It improved attitudes, but the result was not statistically significant (P > 0.05). The introduction of a new curricular course had a positive impact on the knowledge of and attitudes of nursing students toward people living with dementia. These findings emphasize the importance of incorporating dementia-focused education to enhance the quality of care provided by future nursing professionals.

Purpose: This study aims to improve the Unified Theory of Acceptance and Use of Technology (UTAUT) model by examining technological anxiety and other influential factors on international students' adoption of mobile learning (m-learning) during COVID-19 emergency remote teaching (ERT). Design/methodology/approach: This study utilized the modified UTAUT framework to test hypotheses through a cross-sectional survey method. Participants were university students studying Chinese as a foreign language who were selected using a convenience sampling approach. An online questionnaire was then administered. The data collected from the surveys were analyzed using the partial least squares method with SmartPLS 4 software. Findings: The study examined 16 hypotheses and found support for six of them. The results confirmed that performance expectancy (PE) is a significant predictor of behavioral intention (BI), and anxiety influences both PE and effort expectancy. The negative effect of social influence on anxiety was found to be significant, while facilitating conditions had a negative impact on learners' self-efficacy. The model fit indices indicated a good overall fit for the model. Research limitations/implications: This study presents a valuable contribution to the literature on m-learning in emergency education by incorporating technological anxiety into the enhanced UTAUT model. Examining the relationships between the key factors of the model provides a better understanding of learners' intentions and can inspire researchers to establish new theoretical foundations to evaluate the roles of these factors in diverse educational settings. Practical implications: The study found that performance expectations are linked to learners' intentions, and anxiety indirectly affects BIs to use mobile learning platforms. Thus, these platforms should be designed to meet learners' expectations with minimum effort and eliminate anxiety triggers to facilitate ease of use. Language curriculum developers and policymakers should incorporate mobile learning applications to support diverse language skills, address students' needs and encourage their use through professional development opportunities for instructors. Social implications: Social factors have been found to significantly influence anxiety levels among learners. Therefore, it is crucial for teachers and family members to play an essential role in mitigating anxiety's adverse effects. Discussing related issues can enhance the quality of mobile learning and stimulate social initiative by providers, ultimately improving the learning experience for all learners, regardless of their location or circumstances. This can also contribute to the growth and development of society. Originality/value: This study contributes to the originality of m-learning development by proposing an enhanced UTAUT model that considers anxiety and emphasizes the critical role of foreign learners' BIs. It provides fundamental guidelines for designing and evaluating m-learning in ERT contexts.

Abstract Biochar (BC) is an organic compound formed by the pyrolysis of organic wastes. Application of BCs as soil amendments has many benefits including carbon sequestration, enhanced soil fertility and sustainable agriculture production. In the present study, we acidified the different BCs prepared from rice straw, rice husk, wheat straw, cotton stalk, poultry manure, sugarcane press mud and vegetable waste; following which, we applied them in a series of pot experiments. Comparisons were made between acidified and non- acidified BCs for their effects on seed germination, soil properties (EC, pH) nutrient contents (P, K, Na) and organic matter. The treatments comprised of a control, and all above-described BCs (acidified as well as non-acidified) applied to soil at the rate of 1% (w/w). The maize crop was selected as a test crop. The results showed that acidified poultry manure BC significantly improved germination percentage, shoot length, and biomass of maize seedlings as compared to other BCs and their respective control plants. However, acidified BCs caused a significant decrease in nutrient contents (P, K, Na) of soil,maize seedlings, and the soil organic matter contents as compared to non- acidified BCs. But when compared with control treatments, all BCs treatments (acidified and non-acidified) delivered higher levels of nutrients and organic matter contents. It was concluded that none of the BCs (acidified and non-acidified) had caused negative effect on soil conditions and growth of maize. In addition, the acidification of BC prior to its application to alkaline soils might had altered soil chemistry and delivered better maize growth. Moving forward, more research is needed to understand the long-term effects of modified BCs on nutrient dynamics in different soils. In addition, the possible effects of BC application timings, application rates, particle size, and crop species have to be evaluated systemtically.

The prevalence of inorganic pollutants in the environment, including heavy metals (HMs), necessitates a sustainable and cost-effective solution to mitigate their impacts on the environment and living organisms. The present research aimed to assess the phytoextraction capability of spinach (Spinach oleracea L.), under the combined effects of ascorbic acid (AA) and microwave (MW) irradiation amendments, cultivated using surgical processing wastewater. In a preliminary study, spinach seeds were exposed to MW radiations at 2.45 GHz for different durations (15, 30, 45, 60, and 90 seconds). Maximum germination was observed after the 30 seconds of radiation exposure. Healthy spinach seeds treated with MW radiations for 30 s were cultivated in the sand for two weeks, after which juvenile plants were transferred to a hydroponic system. Surgical industry wastewater in different concentrations (25 %, 50 %, 75 %, 100 %) and AA (10 mM) were provided to both MW-treated and untreated plants. The results revealed that MW-treatment significantly enhanced the plant growth, biomass, antioxidant enzyme activities and photosynthetic pigments, while untreated plants exhibited increased reactive oxygen species (ROS) and electrolyte leakage (EL) compared with their controls. The addition of AA to both MW-treated and untreated plants improved their antioxidative defense capacity under HMs-induced stress. MW-treated spinach plants, under AA application, demonstrated relatively higher concentrations and accumulation of HMs including lead (Pb), cadmium (Cd) and nickel (Ni). Specifically, MW-treated plants with AA amendment showed a significant increase in Pb concentration by 188 % in leaves, Cd by 98 %, and Ni by 102 % in roots. Additionally, the accumulation of Ni increased by 174 % in leaves, Cd by 168 % in roots, and Pb by 185 % in the stem of spinach plant tissues compared to MW-untreated plants. These findings suggested that combining AA with MW irradiation of seeds could be a beneficial strategy for increasing the phytoextraction of HMs from wastewater and improving overall plant health undergoing HMs stress.

Contamination of agricultural soils with heavy metals (HMs) poses a significant environmental threat, especially because industrial discharges often irrigate agricultural lands. A prominent source of HM(s) pollution occurs from tannery effluents containing high concentrations of chromium (Cr) in both Cr3+ and Cr6+ forms along with other toxic materials. Cr is known for its carcinogenic and mutagenic properties in biological systems. Microbe-assisted phytoremediation has emerged as a promising and environmentally friendly approach for detoxifying Cr-contaminated environments. This study aimed to evaluate the performance of citric acid (CA) and a Cr-reducing bacterial strain (Staphylococcus aureus) on the phytoextraction potential of Lemna minor within a Constructed Wetland System treated with tannery wastewater. Various combinations of tannery wastewater (0, 50, and 100 %), CA (0, 5 and 10 mM), and microbial inoculants were applied to the test plants. The mitigative effects of Staphylococcus aureus strain K1 were examined in combination with different concentrations of CA (0, 5, 10 mM). Data on growth and yield attributes highlighted the beneficial effects of bacterial inoculation and CA in ameliorating Cr toxicity in L. minor, as evidenced by increased foliar chlorophyll and carotenoid contents, enhanced antioxidant enzyme activities (SOD, POD, APX, CAT), and improved nutrient uptake. Specifically, CA application resulted in an enhancement of Cr ranging from 12% to 15% and 23%–31% in concentration, and 134%–141% and 322%–337% in Cr accumulation, respectively. When combined with the S. aureus inoculation treatment, CA application (5 and 10 mM) further increased the concentration and accumulation of Cr in L. minor. The enhancement in Cr ranged from 12% to 23% and 27%–41% in concentration, 68%–75%, and 179%–185% in accumulation, respectively. These results demonstrated that L. minor is an effective choice for environmentally friendly Cr remediation due to its continued ability to grow in polluted wastewater. This study suggested that microbial-assisted phytoextraction combined with chelating agents such as CA could be a practical and effective approach for remediating tannery effluents.

The bark of Cinnamomum verum (CVB) had beneficial effects on the meat quality of broilers associated with phytochemical products, such as cinnamaldehyde. This study aimed to assess the potential effects of supplementation with CVB on the breast quality and carcase features of broilers. A total of 120 broiler chicks were arbitrarily assigned to four dietary treatment groups, each with five replicates (♂:♀ = 3:3 in each replicate). Each experimental meal was designed to contain a basal diet with 0, 2, 4, and 6 g CVB/kg. On day 34, 1 male broiler from each replication was selected for selected criteria. The present findings revealed that the broilers treated with CVB, especially at 2 g CVB, increased (p

In this study, tempeh was developed using a probiotic culture of Lactobacillus rhamnosus adjunct culture. Purposely, soybean seeds were soaked overnight at room temperature and then boiled at 100°C for 10 to 15 min. The hot beans were then spread out in a thin layer and allowed to cool to room temperature. The Lactobacillus rhamnosus culture was added to the soybeans, which were then tightly packed in perforated plastic bags and incubated at 30°C for 24 h to produce fresh tempeh. The tempeh was then analyzed for its physical, chemical, microbial, and sensory characteristics, and the data obtained was statistically analyzed. The results of the physical and chemical analysis showed that the probiotic tempeh had a slight increase in pH, ash, and protein content, while there was a significant decrease in acidity, moisture, and fat content during storage. The microbial analysis revealed that both the total plate count and probiotic count increased over time, with treatment T4, which contained a high amount of culture, exhibiting the maximum plate count and probiotic count. The sensory evaluation showed that both the treatment and storage duration significantly impacted the aroma, color, taste, and overall acceptability of the tempeh, with all sensory attributes decreasing over time. The sensory panelists rated treatment T4 the highest for overall acceptance. In conclusion, the study suggests that probiotic soybean tempeh could be a beneficial carrier for producing a product with good physicochemical properties, acceptability, high probiotic viability, and storage durability.

ABSTRACTPakistan is one of the biggest mango producing country in the world. Post-harvest losses of mango occur due to lack of storage facilities. Mango can be converted into concentrate to utilize it for longer period. In the current study, the physicochemical profile and storage stability of mango concentrate was investigated to evidence the opportunity of preservation method. Three different concentrations (0.1%, 0.2%, and 0.5%) of citric acid, sodium benzoate and potassium sorbate were applied. All chemical preservatives significantly (p ˂ 0.05) increased viscosity, total soluble solids (TS), reducing sugar (RS), non-reducing sugar (NRS), total soluble solids (TSS), and titratable acidity (TA), while the moisture content, pH, DPPH antioxidant activity, TPC (total phenolic content), TFC (total flavonoid content) and the level of texture acceptance decreased during the storage. The moisture content was decreased from 43.4% to 34.9% during storage. Phytochemical analysis showed that mango concentrate is a potential source of antioxidant compounds and has higher DPPH radical scavenging activity. Regarding preservation solution, it is suggested that sodium benzoate and citric acid might be utilized for industrial applications.

Congenital diaphragmatic hernia (CDH) is a developmental disorder in which the diaphragm, the muscle that separates the chest from the abdomen, does not close during prenatal development, allowing abdominal organs to herniate into the chest cavity. It occurs mainly on the left side (80%-85% of cases). CDH is often identified during prenatal assessment. However, instances of late-presenting CDH beyond infancy are exceedingly uncommon, contributing to frequent misdiagnosis and delayed therapeutic intervention. We present a case of a 10-month-old female with an uneventful antenatal and perinatal history who presented with respiratory distress and multiple episodes of vomiting. Her vital signs were stable upon arrival, but she was sent to the PICU due to hypoactivity, reduced oral intake, and agitation. After an urgent CT scan, a herniation of the small and large bowel loops into the right hemithorax was discovered, along with a defect in the right hemidiaphragm. This resulted in a pleural effusion on the right side, a partially collapsed left lung, and a mediastinal shift to the left. The diaphragmatic hernia was corrected through a lateral thoracotomy at the sixth rib with multiple interrupted sutures, and a chest tube was then inserted into the pleural space above the diaphragm following a smooth reduction of the bowl. This case highlights the importance of early diagnosis, appropriate clinical investigation, and treatment. A good prognosis can be anticipated by promptly discovering and examining the condition.