MYCN drives chemoresistance in small cell lung cancer while USP7 inhibition can restore chemosensitivity.

Small cell lung cancer (SCLC) is an aggressive neuroendocrine cancer characterized by initial chemosensitivity followed by emergence of chemoresistant disease. To study roles for MYCN amplification in SCLC progression and chemoresistance, we developed a genetically engineered mouse model of MYCN-overexpressing SCLC. In treatment-naïve mice, MYCN overexpression promoted cell cycle progression, suppressed infiltration of cytotoxic T cells, and accelerated SCLC. MYCN overexpression also suppressed response to cisplatin-etoposide chemotherapy, with similar findings made upon MYCL overexpression. We extended these data to genetically perturb chemosensitive patient-derived xenograft (PDX) models of SCLC. In chemosensitive PDX models, overexpression of either MYCN or MYCL also conferred a switch to chemoresistance. To identify therapeutic strategies for MYCN-overexpressing SCLC, we performed a genome-scale CRISPR-Cas9 sgRNA screen. We identified the deubiquitinase USP7 as a MYCN-associated synthetic vulnerability. Pharmacological inhibition of USP7 resensitized chemoresistant MYCN-overexpressing PDX models to chemotherapy in vivo. Our findings show that MYCN overexpression drives SCLC chemoresistance and provide a therapeutic strategy to restore chemosensitivity.

The Promising Effect of Ascorbic Acid and Paracetamol as Anti-Biofilm and Anti-Virulence Agents against Resistant Escherichia coli.

Escherichia coli is a major cause of serious infections, with antibiotic resistance rendering many treatments ineffective. Hence, novel strategies to combat this pathogen are needed. Anti-virulence therapy is a promising new approach for the subsequent era. Recent research has examined the impact of sub-inhibitory doses of ascorbic acid and paracetamol on Escherichia coli virulence factors. This study evaluated biofilm formation, protease production, motility behavior, serum resistance, expression of virulence-regulating genes (using RT-PCR), and survival rates in a mouse model. Ascorbic acid significantly reduced biofilm formation, protease production, motility, and serum resistance from 100% in untreated isolates to 22-89%, 10-89%, 2-57%, and 31-35% in treated isolates, respectively. Paracetamol also reduced these factors from 100% in untreated isolates to 16-76%, 1-43%, 16-38%, and 31-35%, respectively. Both drugs significantly down-regulated virulence-regulating genes papC, fimH, ompT_m, stcE, fliC, and kpsMTII. Mice treated with these drugs had a 100% survival rate compared with 60% in the positive control group control inoculated with untreated bacteria. This study highlights the potential of ascorbic acid and paracetamol as anti-virulence agents, suggesting their use as adjunct therapies alongside conventional antimicrobials or as alternative treatments for resistant Escherichia coli infections.

Colonoscopy screening for colorectal cancer in Egypt: a nationwide cross-sectional study.

BACKGROUND: Current guidelines advocate for colorectal cancer (CRC) screening in adults who are at risk by using direct visualization methods such as colonoscopy. However, in Egypt, there is a paucity of data regarding the current practice of colonoscopy screening. Moreover, more information is needed about the knowledge and attitudes of potential participants regarding the procedure and possible barriers that can limit their participation. METHODS: We conducted a nationwide cross-sectional study using an interview-based survey of patients aged 45 years or above who presented to outpatient clinics of nine university hospitals throughout Egypt. Participants were surveyed to assess their compliance with CRC colonoscopy screening guidelines, their knowledge of and attitude towards colonoscopy screening, and their perspective on potential barriers to colonoscopy screening. RESULTS: A total of 1,453 participants responded to our survey in the nine study centers. Only a minority of participants (2.3%) were referred for CRC screening. Referral rates were higher among those who knew someone with a history of CRC (5.3% vs 1.5%, p < 0.001) or had a discussion with their physician about CRC (25.8% vs 0.7%, p < 0.001). Few responders (3.2%) had good knowledge regarding CRC screening. After introducing the concept of CRC screening to all participants, most patients (66.7%) showed a positive attitude towards having the procedure. Financial burden and fear of results were the two most frequently cited barriers to undergoing CRC screening (81.1%; and 60.1%, respecteively). CONCLUSIONS: Despite the positive attitude, there is insufficient knowledge about CRC screening among eligible participants in Egypt. This has probably contributed to low compliance with current CRC screening guidelines and needs to be addressed at the national level.

From awareness to action: an urgent call to reduce mortality and improve outcomes in eating disorders.

High mortality rates and poor outcomes from eating disorders, especially anorexia nervosa, are largely preventable and require urgent action. A national strategy to address this should include prevention; early detection; timely access to integrated physical and psychological treatments; safe management of emergencies; suicide prevention; and investment in training, services and research.

Tracking the epidemiological trends of female breast cancer in Saudi Arabia since 1990 and forecasting future statistics using global burden of disease data, time-series analysis.

BACKGROUND: Female breast cancer stands as the prime type of cancer in the Kingdom of Saudi Arabia (KSA), with a high incidence and mortality rates. This study assessed the burden of female breast cancer in KSA by analyzing and forecasting its incidence, mortality, and disability-adjusted life years (DALYs). METHODS: We retrieved data from the Global Burden of Disease (GBD) about female breast cancer from 1990 to 2021. Time-series analysis used the autoregressive integrated moving average (ARIMA) model to forecast female breast cancer statistics from 2022 to 2026. RESULTS: From 1990 to 2021, KSA reported 77,513 cases of female breast cancer. The age groups with the highest number of cases are 45-49 years, followed by 40-44 years, 50-54 years, and 35-39 years. The analysis also showed fewer cases in the younger age groups, with the lowest number in the less than 20-year-old age group. From 1990 to 2021, KSA reported 19,440 deaths due to breast cancer, increasing from 201 cases in 1990 to 1,190 cases in 2021. The age-standardized incidence rate/100,000 of breast cancer increased from 15.4 (95% confidence interval (CI) 11.2-21.0) in 1990 to 46.0 (95%CI 34.5-61.5) in 2021. The forecasted incidence rate of female breast cancer will be 46.5 (95%CI 45.8-46.5) in 2022 and 49.6 (95%CI 46.8-52.3) in 2026. The age-standardized death rate per 100,000 Saudi women with breast cancer increased from 6.73 (95%CI 6.73-9.03) in 1990 to 9.77 (95%CI 7.63-13.00) in 2021. The forecasted female breast cancer death rate will slightly decrease to 9.67 (95%CI 9.49-9.84) in 2022 and to 9.26 (95%CI 8.37-10.15) in 2026. DALYs increased from 229.2 (95%CI 165.7-313.6) in 1990 to 346.1 (95%CI 253.9-467.2) in 2021. The forecasted DALYs of female breast cancer will slightly decrease to 343.3 (95%CI 337.2-349.5) in 2022 reaching 332.1 (95%CI 301.2-363.1) in 2026. CONCLUSIONS: Female breast cancer is still a significant public health burden that challenges the health system in KSA, current policies and interventions should be fashioned to alleviate the disease morbidity and mortality and mitigate its future burden.

Exploring the Antioxidant and Anti-inflammatory effect of Rhoifolin Extracted from Teucrium polium in Rats' Lungs Exposed to Tobacco Smoke.

Cigarette smoking exacerbates respiratory diseases, while plant-derived polyphenols offer antioxidant and anti-inflammatory benefits. This study explores the effects of Rhoifolin (ROF), a polyphenol from Jordanian Teucrium polium, on lung health in rats exposed to tobacco smoke. Male rats were divided into two groups: one exposed to cigarette smoke (CS), and the other to ROF treatment alongside smoke exposure (ROF/CS). ROF was administered orally for 21 days before smoke exposure. Results showed smoke-induced lung inflammation and oxidative stress, mitigated by ROF treatment. Histological examination revealed smoke-related morphological changes in lung tissue. ROF treatment reduced oxidative stress and inflammation, as evidenced by decreased proinflammatory cytokines. In silico docking demonstrated ROF's potential as an inhibitor. This study suggests the therapeutic potential of ROF and similar polyphenols in mitigating the harmful effects of cigarette smoke on lung health.

Ratoon rice research: Review and prospect for the tropics.

Context: With increasing labor shortage and production costs, water scarcity and climate change, there is increased interest in ratooning as a green, resource-efficient technology to boost sustainable rice production, especially in China. Since the performance of ratoon rice (regenerating a second crop from the stubble left in the fields after the main harvest) and the impact of agronomic practices on its yield have shown mixed results across the world, a better understanding is needed to determine under which conditions ratoon rice performs well. Objective: The objectives are (i) to quantify variation in rice yield of main and ratoon crops, (ii) to assess genetic variation in and impact of agronomic practices on rice yield, focusing on the yield of ratoon crop and total yield (main and ratoon crops), and (iii) review of economic and environmental benefits of ratoon rice in comparison with single and double rice cropping. Methods: In researching ratoon rice, we compiled a database from 68 studies published from 2000 to 2023. Descriptive data analysis was performed. Results: Studies from non-tropical regions account for about 70%. Large variation exists in the yield of ratoon crop across the studies, with lower yield from the tropics than non-tropics. The ratio of yield of ratoon crop to that of main crop also varied widely from 0.13 to 0.67 with 0.36 and 0.5 in tropics and non-tropics, respectively. The yield of ratoon crop was positively related to the yield of main crop, crop duration and nitrogen fertilizer application rate, which were generally higher in non-tropics. Hybrid varieties out-yielded inbred varieties in both main and ratoon crops in non-tropical regions. Direct seeding and AWD had a positive impact on the yield of ratoon crop. The impact of stubble cutting height was mixed. While agronomic nitrogen use efficiency (AEN) during entire ratoon rice cropping was similar to that reported for single rice cropping in previous studies, AEN for ratoon crop in tropical regions tended to be lower than those from previous studies on single rice cropping. Ratoon rice cropping reduced labor input and production cost and increased net economic return compared with double rice cropping. Conclusions: We propose a research agenda, with the focus on improvement of genetic and agronomic practices to explore the potential of ratoon rice cropping, especially in the tropics. Implications: This study provides insight into the progress in ratoon rice research over the past two decades globally, and specifically in the tropics.

Synthetic Methods and Pharmacological Potentials of Triazolothiadiazines: A Review.

This review article examines the synthetic pathways for triazolothiadiazine derivatives, such as triazolo[3,4-b]thiadiazines, triazolo[5,1-b]thiadiazines, and triazolo[4,3-c]thiadiazines, originating from triazole derivatives, thiadiazine derivatives, or thiocarbohydrazide. The triazolothiadiazine derivatives exhibit several biological actions, including antibacterial, anticancer, antiviral, antiproliferative, analgesic, anti-inflammatory, and antioxidant properties. The review article aims to assist researchers in creating new biologically active compounds for designing target-oriented triazolothiadiazine-based medicines to treat multifunctional disorders.

In Vitro Evaluation of ALDH1A3-Affinic Compounds on Breast and Prostate Cancer Cell Lines as Single Treatments and in Combination with Doxorubicin.

Aldehyde dehydrogenase (ALDH) enzymes are involved in the growth and development of several tissues, including cancer cells. It has been reported that targeting the ALDH family, including the ALDH1A subfamily, enhances cancer treatment outcomes. Therefore, we aimed to investigate the cytotoxicity of ALDH1A3-affinic compounds that have been recently discovered by our group, on breast (MCF7 and MDA-MB-231) and prostate (PC-3) cancer cell lines. These compounds were investigated on the selected cell lines as single treatments and in combination with doxorubicin (DOX). Results showed that the combination treatment experiments of the selective ALDH1A3 inhibitors (compounds 15 and 16) at variable concentrations with DOX resulted in significant increases in the cytotoxic effect on the MCF7 cell line for compound 15, and to a lesser extent for compound 16 on the PC-3 cell line, compared to DOX alone. The activity of compounds 15 and 16 as single treatments on all cell lines was found to be non-cytotoxic. Therefore, our findings showed that the investigated compounds have a promising potential to target cancer cells, possibly via an ALDH-related pathway, and sensitize them to DOX treatment.

Investigating Carvedilol's Repurposing for the Treatment of Non-Small Cell Lung Cancer via Aldehyde Dehydrogenase Activity Modulation in the Presence of ß-Adrenergic Agonists.

Repurposing existing drugs appears to be a potential solution for addressing the challenges in the treatment of non-small cell lung cancer (NSCLC). ß-adrenoceptor antagonist drugs (ß-blockers) have tumor-inhibiting effects, making them promising candidates for potential NSCLC treatment. This study investigates the anticancer potential of a subset of ß-blockers in NSCLC cell lines; A549 and H1299. Additionally, it investigates the underlying mechanism behind ß-blockers' anticancer effect by influencing a potential novel target named aldehyde dehydrogenase (ALDH). The MTT assay assessed ß-blockers' cytotoxicity on both cell lines, while Western blot and NADH fluorescence assays evaluated their influence on ALDH protein expression and activity. Carvedilol (CAR) was the most effective blocker in reducing cell survival of A549 and H1299 with IC50 of 18 µM and 13.7 µM, respectively. Significantly, CAR led to a 50% reduction in ALDH expression and 80% decrease in ALDH activity in A549 cells, especially when combined with ß-agonists, in comparison to the control. This effect might be attributed to ß-agonist blockade or an alternative pathway. This novel finding adds to our understanding of CAR's multifaceted anticancer properties, implying that combining CAR with ß-agonists could be a useful strategy for lung cancer treatment.

Association between quality of sleep and screen time during the COVID-19 outbreak among adolescents in the United Arab Emirates.

The COVID-19 pandemic had a major impact on people of all ages. Adolescents' exposure to online learning is linked to excessive screen time on digital devices, which leads to poor sleep quality. This study aimed to investigate the association between screen time on different electronic devices and sleep quality among adolescents in the United Arab Emirates. This study was based on a self-reported questionnaire, which was administered online to school-aged adolescents (aged 12-19 years). The multicomponent questionnaire collected information on sociodemographic characteristics, sleep quality using the Pittsburgh Sleep Quality Index (PSQI), and screen time (minutes) on TV, TV-connected devices, laptops, smartphones, and tablets on weekdays, weeknight, and weekends using the Screen Time Questionnaire (STQ). Univariate and multivariate analyses were used to identify factors correlated with poor sleep quality. A total of 1720 adolescents were recruited from private and public schools (mean age 14.6 ± 1.97 years). The mean PSQI score was 8.09 ± 3.37, and 74.3% of participants reported poor sleep (cutoff score >5). Mean scores were highest for the sleep latency (1.85 ± 0.97) and sleep disturbance (1.56 ± 0.62) domains. The highest STQ score was observed for smartphones, with a median screen time of 420 min on weekdays and 300 min on weekends. Screen time related to smartphones on weekends (p = 0.003) and increased screen time in bed (p < 0.001) were significantly associated with poor sleep. Our results confirmed the correlation between sleep and screen time in adolescents. The results may inform educational polices that target screen time and sleep among adolescents during and after the COVID-19 pandemic.

Role of communication in successful outpatient attendance in a New Zealand hospital: a qualitative study.

BACKGROUND: There are significant implications for both patients and providers when patients do not attend outpatient specialist appointments. Nonattendance has an impact on the efficiency of health care, provider resources and patient health outcomes. AIMS: In this qualitative study we aimed to gather insights on how Dunedin Hospital notifies patients about their appointments, the implications for the hospital and for patients and how the system could be improved. METHODS: We interviewed 13 hospital staff members and nine patients who volunteered to participate because they had missed appointments as a result of communication problems. Interviews were transcribed and analysed thematically using NVivo software. RESULTS: Dunedin Hospital relies heavily on posted letters to inform people about their appointments, with some also receiving reminder texts closer to the time of the appointment. Frustration with the current system was a common theme among both patients and staff. Almost all patients had missed an appointment because of a letter not arriving. While most patients found that the text reminders were helpful, most said they were sent too late and did not allow enough time for arrangements to be made for their appointments. Almost all patients experienced treatment delays, which caused distress. Most patients believed a self-booking system would improve the ability to attend their appointments, and most of them wanted to be notified of appointments via email. CONCLUSIONS: We recommend that a patient-oriented approach to communication should be implemented, and alternative methods of communication should be explored.

The Change of Erectile Function Post Recovery from COVID-19 Infection.

INTRODUCTION: We assess the correlation between COVID-19 infection and erection and evaluate the effect of aging and comorbidities on the male sexuality of patients with COVID-19 infection. METHODS: 100 patients were enrolled and diagnosed with COVID-19 based on reverse transcription-polymerase chain reaction tests of oropharyngeal and nasopharyngeal swabs according to the WHO guidelines. The International Index of Erectile Function (IIEF-5) questionnaire was used to evaluate sexual function. RESULTS: Patients were divided into two groups: the first group of 42 patients <50 years of age with a mean age (±SD) of 35.83 ± 7.8 and the second group of 58 patients ≥50 years of age with a mean age of 58.64 ± 7.7. The mean (±SD) IIEF in the first group pre-COVID-19 infection was 14.2 ± 2.37 while post-COVID-19 was 8.7 ± 2.77, 11.3 ± 2.9, 12.1 ± 3.02 at 1, 3, 6 months, respectively (p < 0.001), while in the second group, the mean (±SD) IIEF pre-COVID-19 infection was 10.04 ± 4.62 while post-COVID was 5.0 ± 2.1, 6.56 ± 2.6, 8.18 ± 2.04 at 1, 3, 6 months, respectively (p < 0.001). On multivariate analysis, old patients infected with COVID-19 and associated with comorbidities such as diabetes mellitus (OR = 8.53, CI = 0.00-2.01), hypertension (OR = 3.908, CI = 0.000-3.07), ischemic heart disease (OR = 2.863, CI = 0.000-2.68), and liver disease (OR = 0.670, CI = 0.000-1.670) were significantly correlated to erectile dysfunction (p < 0.001). CONCLUSION: COVID-19 significantly affects erection mostly in older patients with comorbidities, leading to subsequent use of oral and intracavernosal injection therapy for erectile dysfunction.

Synergistic Antimicrobial Activity of Eugenol in Combination with Fosfomycin to Combat Escherichia coli and Potential Effect on Plasmid-Mediated Fosfomycin Resistance Genes.

The presence of multidrug-resistant pathogenic microorganisms makes it challenging to cure bacterial illnesses. Syzygium aromaticum has been used for medicinal purposes since ancient times. The objective of this study was to investigate the potential synergistic effect of the combination of Eugenol and Fosfomycin against clinically Uropathogenic Escherichia coli (UPEC) and their possible co-treatment as well as their contribution to plasmid-mediated Fosfomycin resistance (fosA3 and fosA4) genes using molecular assays. Eugenol was extracted from clove (Syzygium aromaticum) plants using steam distillation by Clevenger and analyzed by high-performance liquid chromatography (HPLC). UPEC accounted for 63.6 % of all isolates. Specifically, 99.3 % of the UPEC isolates exhibited resistance to multiple types of antibiotics [multidrug-resistant (MDR)]. The MIC for Eugenol was 1.25-5 µg/mL, and Fosfomycin was 512-1024 µg/mL, while the MBC for Eugenol was 5-10 µg/mL and Fosfomycin was 2048 µg/mL. The synergistic effects were considerable, with 1/4 MIC of Eugenol resulting in 1/8 MIC Fosfomycin. Eugenol inhibited most of the UPEC isolates at 4-8 hours, Fosfomycin at 8-12 hours, and co-treatment at 4-8 hours. The fosA3 and fosA4 genes were detected in 5.7 % and 2.9 % of the isolates, respectively. The results showed variable gene expression changes in response to the different treatments.

Detection and localization of Goliath grouper using their low-frequency pulse sounds.

The goal of this paper is to implement and deploy an automated detector and localization model to locate underwater marine organisms using their low-frequency pulse sounds. This model is based on time difference of arrival (TDOA) and uses a two-stage approach, first, to identify the sound and, second, to localize it. In the first stage, an adaptive matched filter (MF) is designed and implemented to detect and determine the timing of the sound pulses recorded by the hydrophones. The adaptive MF measures the signal and noise levels to determine an adaptive threshold for the pulse detection. In the second stage, the detected sound pulses are fed to a TDOA localization algorithm to compute the locations of the sound source. Despite the uncertainties stemming from various factors that might cause errors in position estimates, it is shown that the errors in source locations are within the dimensions of the array. Further, our method was applied to the localization of Goliath grouper pulse-like calls from a six-hydrophone array. It was revealed that the intrinsic error of the model was about 2 m for an array spanned over 50 m. This method can be used to automatically process large amount of acoustic data and provide a precise description of small scale movements of marine organisms that produce low-frequency sound pulses.

Development of a remineralizing calcium phosphate nanoparticle-containing self-etching system for orthodontic bonding.

OBJECTIVES: This study aimed to incorporate hydroxyapatite nanoparticles (nHA) or amorphous calcium phosphate nanoparticles (nACP) into a self-etch primer (SEP) to develop a simplified orthodontic bonding system with remineralizing and enamel preserving properties. MATERIALS AND METHODS: nHA and nACP were incorporated into a commercial SEP (Transbond™ plus) in 7% weight ratio and compared with the plain SEP as a control. Shear bond strengths (SBS), enamel damage, and adhesive remnant index (ARI) scores were evaluated at 24 h and post 5000 thermocycling. Field-emission scanning electron microscope (FESEM) was used to inspect the distribution of the nanoparticles in the experimental SEPs and evaluate the enamel surface integrity both before bracket bonding and post bracket debonding. Phase determination and remineralizing capability of the modified SEP were characterized by X-ray diffraction and Raman spectroscopy, respectively. RESULTS: The addition of nHA or nACP to the SEP significantly reduced the SBS, ARI, and enamel damage (p < 0.05) as compared to the control SEP; however, only nHA-SEP survived the thermocycling protocol and yielded acceptable SBS (13.38 MPa). Enamel remineralizing ability of the developed nHA-SEP was confirmed by both FESEM images and Raman phosphate map. CONCLUSIONS: Incorporating nHA into SEP resulted in clinically acceptable bond strengths with remineralizing ability. CLINICAL RELEVANCE: The newly developed nHA-SEP has unprecedented ability to simultaneously etch, prime, and remineralize the enamel in a single step leaving immaculate enamel surface with the potential of saving cost and time at the post-debonding step.

Medical students' perceptions, experiences, and barriers towards research implementation at the faculty of medicine, Tanta university.

BACKGROUND: Research is essential for advancing medical knowledge and improving patient care. However, research capacity and output are low in low- and middle-income countries due to various challenges, including a lack of research training among medical students. Integrating research training into undergraduate medical curricula can help address this issue. METHODS: A cross-sectional study was conducted between December 2022 and March 2023 among 462 undergraduate medical students at Tanta University, Egypt to assess their knowledge, attitudes, and perceived barriers toward conducting research. Data were collected using a self-administered questionnaire and analyzed using SPSS. RESULTS: Nearly half (49.8%) of the students had an acceptable level of knowledge about research concepts while over two-thirds (66.2%) had a positive attitude. The most common barriers were lack of funding, time, and training in research methods. Previous research training was reported by 66.7% of students, but less than half had participated in or presented research. Students in the competency-based program had significantly higher knowledge and more positive attitudes than those in the mainstream program. Knowledge level was positively correlated with attitude. CONCLUSION: While attitudes were generally positive, improvements are needed in research training and opportunities among undergraduate medical students at Tanta University to help address low research capacity challenges in low- and middle-income countries. Integration of formal research training into the curriculum may help increase knowledge and participation in research.

An Optimized Ensemble Deep Learning Model for Predicting Plant miRNA-IncRNA Based on Artificial Gorilla Troops Algorithm.

MicroRNAs (miRNA) are small, non-coding regulatory molecules whose effective alteration might result in abnormal gene manifestation in the downstream pathway of their target. miRNA gene variants can impact miRNA transcription, maturation, or target selectivity, impairing their usefulness in plant growth and stress responses. Simple Sequence Repeat (SSR) based on miRNA is a newly introduced functional marker that has recently been used in plant breeding. MicroRNA and long non-coding RNA (lncRNA) are two examples of non-coding RNA (ncRNA) that play a vital role in controlling the biological processes of animals and plants. According to recent studies, the major objective for decoding their functional activities is predicting the relationship between lncRNA and miRNA. Traditional feature-based classification systems' prediction accuracy and reliability are frequently harmed because of the small data size, human factors' limits, and huge quantity of noise. This paper proposes an optimized deep learning model built with Independently Recurrent Neural Networks (IndRNNs) and Convolutional Neural Networks (CNNs) to predict the interaction in plants between lncRNA and miRNA. The deep learning ensemble model automatically investigates the function characteristics of genetic sequences. The proposed model's main advantage is the enhanced accuracy in plant miRNA-IncRNA prediction due to optimal hyperparameter tuning, which is performed by the artificial Gorilla Troops Algorithm and the proposed intelligent preying algorithm. IndRNN is adapted to derive the representation of learned sequence dependencies and sequence features by overcoming the inaccuracies of natural factors in traditional feature architecture. Working with large-scale data, the suggested model outperforms the current deep learning model and shallow machine learning, notably for extended sequences, according to the findings of the experiments, where we obtained an accuracy of 97.7% in the proposed method.

Estimating nutrient concentrations and uptake in rice grain in sub-Saharan Africa using linear mixed-effects regression.

Context or problem: Quantification of nutrient concentrations in rice grain is essential for evaluating nutrient uptake, use efficiency, and balance to develop fertilizer recommendation guidelines. Accurate estimation of nutrient concentrations without relying on plant laboratory analysis is needed in sub-Saharan Africa (SSA), where farmers do not generally have access to laboratories. Objective or research question: The objectives are to 1) examine if the concentrations of macro- (N, P, K, Ca, Mg, S) and micronutrients (Fe, Mn, B, Cu) in rice grain can be estimated using agro-ecological zones (AEZ), production systems, soil properties, and mineral fertilizer application (N, P, and K) rates as predictor variables, and 2) to identify if nutrient uptakes estimated by best-fitted models with above variables provide improved prediction of actual nutrient uptakes (predicted nutrient concentrations x grain yield) compared to average-based uptakes (average nutrient concentrations in SSA x grain yield). Methods: Cross-sectional data from 998 farmers' fields across 20 countries across 4 AEZs (arid/semi-arid, humid, sub-humid, and highlands) in SSA and 3 different production systems: irrigated lowland, rainfed lowland, and rainfed upland were used to test hypotheses of nutrient concentration being estimable with a set of predictor variables among above-cited factors using linear mixed-effects regression models. Results: All 10 nutrients were reasonably predicted [Nakagawa's R2 ranging from 0.27 (Ca) to 0.79 (B), and modeling efficiency ranging from 0.178 (Ca) to 0.584 (B)]. However, only the estimation of K and B concentrations was satisfactory with a modeling efficiency superior to 0.5. The country variable contributed more to the variation of concentrations of these nutrients than AEZ and production systems in our best predictive models. There were greater positive relationships (up to 0.18 of difference in correlation coefficient R) between actual nutrient uptakes and model estimation-based uptakes than those between actual nutrient uptakes and average-based uptakes. Nevertheless, only the estimation of B uptake had significant improvement among all nutrients investigated. Conclusions: Our findings suggest that with the exception of B associated with high model EF and an improved uptake over the average-based uptake, estimates of the macronutrient and micronutrient uptakes in rice grain can be obtained simply by using average concentrations of each nutrient at the regional scale for SSA. Implications: Further investigation of other factors such as the timing of fertilizer applications, rice variety, occurrence of drought periods, and atmospheric CO2 concentration is warranted for improved prediction accuracy of nutrient concentrations.

The anti-adherence activity and bactericidal effect of GO against Streptococcus mutans from Iraqi dental patients.

The high rate of microbes and their biological activity in the patient's mouth is a concern in the domains of dental caries and periodontal disease. The study aimed to shed light on the relationship between graphene oxide's nanoparticles (nGOs) antimicrobial properties and the growth of dental pathogenic bacteria. The forty swab samples were frequently collected from the patient's cavity mouth between November 2019 and January 2020, from patients who visited dentist clinics in Baghdad by taking swabs from mouth cavities with various dental caries with two age groups (5-17) and (18-60) from male and female to streaking them on Brain-Heart Infusion (BHI) agar, then identified by re-streaking on Mitis Salivarius Bacitracin (MSB) agar. All isolates were confirmed as Streptococcus mutans after API 20 Strep method. As well as the Colony Forming Units (CFU) were then determined after diluting the bacterial cell suspensions to obtain cell samples containing 1.5 × 108 CFU/ ml. The collagen-binding adhesin (cnm) and glucosyltransferases (gtf) of S. mutans genes were identified using polymerase chain reaction (PCR) method before and after exposure to the nGOs, which were prepared in different pulse laser energy (500, 600, and 700 mJ) with presence and absence of the magnetic field, and the data have been analyzing. After counting the CFU, the nGOs shows high effectiveness inhibiting the growth of S. mutans. This research provides definitive answers about the relationship between nGOs, antibacterial caries, and periodontal disease.