A population analysis of delayed ejaculation using a claims database: characteristics and national trends in prevalence, incidence, and pharmacotherapy.

We investigated the prevalence, incidence, and rates of pharmacological treatment of delayed ejaculation using the TriNetX Diamond Network. We included all men evaluated in the inpatient, outpatient, and emergency settings. Prevalence was determined by comparing the number of men diagnosed with delayed ejaculation to the entire population. Incidence was determined by comparing the number of men diagnosed with delayed ejaculation without a prior diagnosis to the overall population without a prior diagnosis. Rates of pharmacologic treatment were calculated by comparing the number of men who received a prescription to the total number of men with delayed ejaculation. Trends in prevalence and incidence were compared using six-month intervals, while trends in pharmacologic treatment were compared using one-year intervals. A total of 23,164 adult males were diagnosed with delayed ejaculation from 2013 to 2019. During the final six-month interval (July to December 2019), 2,747 of 16,496,744 men received a delayed ejaculation diagnosis, and 1,375 of 16,488,270 men without a prior diagnosis were diagnosed with delayed ejaculation. In 2019, only 916 of 4,733 (19.4%) men diagnosed with delayed ejaculation received any prescription, with the most common being testosterone (9.5%), bupropion (6.6%), and buspirone (2.3%). Prevalence, incidence and pharmacologic treatment all had increasing trends.

Colon Cancer Disease Diagnosis Based on Convolutional Neural Network and Fishier Mantis Optimizer.

Colon cancer is a prevalent and potentially fatal disease that demands early and accurate diagnosis for effective treatment. Traditional diagnostic approaches for colon cancer often face limitations in accuracy and efficiency, leading to challenges in early detection and treatment. In response to these challenges, this paper introduces an innovative method that leverages artificial intelligence, specifically convolutional neural network (CNN) and Fishier Mantis Optimizer, for the automated detection of colon cancer. The utilization of deep learning techniques, specifically CNN, enables the extraction of intricate features from medical imaging data, providing a robust and efficient diagnostic model. Additionally, the Fishier Mantis Optimizer, a bio-inspired optimization algorithm inspired by the hunting behavior of the mantis shrimp, is employed to fine-tune the parameters of the CNN, enhancing its convergence speed and performance. This hybrid approach aims to address the limitations of traditional diagnostic methods by leveraging the strengths of both deep learning and nature-inspired optimization to enhance the accuracy and effectiveness of colon cancer diagnosis. The proposed method was evaluated on a comprehensive dataset comprising colon cancer images, and the results demonstrate its superiority over traditional diagnostic approaches. The CNN-Fishier Mantis Optimizer model exhibited high sensitivity, specificity, and overall accuracy in distinguishing between cancer and non-cancer colon tissues. The integration of bio-inspired optimization algorithms with deep learning techniques not only contributes to the advancement of computer-aided diagnostic tools for colon cancer but also holds promise for enhancing the early detection and diagnosis of this disease, thereby facilitating timely intervention and improved patient prognosis. Various CNN designs, such as GoogLeNet and ResNet-50, were employed to capture features associated with colon diseases. However, inaccuracies were introduced in both feature extraction and data classification due to the abundance of features. To address this issue, feature reduction techniques were implemented using Fishier Mantis Optimizer algorithms, outperforming alternative methods such as Genetic Algorithms and simulated annealing. Encouraging results were obtained in the evaluation of diverse metrics, including sensitivity, specificity, accuracy, and F1-Score, which were found to be 94.87%, 96.19%, 97.65%, and 96.76%, respectively.

Cyanotoxin accumulation and growth patterns of biocrust communities under variable environmental conditions.

Biocrusts dominate the soil surface in deserts and are composed of diverse microbial communities that provide important ecosystem services. Cyanobacteria in biocrusts produce many secondary metabolites, including the neurotoxins BMAA, AEG, DAB, anatoxin-a(S) (guanitoxin), and the microcystin hepatotoxins, all known or suspected to cause disease or illness in humans and other animals. We examined cyanobacterial growth and prevalence of these toxins in biocrusts at millimeter-scales, under a desert-relevant illumination gradient. In contrast to previous work, we showed that hydration had an overall positive effect on growth and toxin accumulation, that nitrogen was not correlated with growth or toxin production, and that phosphorus enrichment negatively affected AEG and BMAA concentrations. Excess illumination positively correlated with AEG, and negatively correlated with all other toxins and growth. Basic pH negatively affected only the accumulation of BMAA. Anatoxin-a(S) (guanitoxin) was not correlated with any tested variables, while microcystins were not detected in any of the samples. Concerning toxin pools, AEG and BMAA were good predictors of the presence of one another. In a newly conceptualized scheme, we integrate aspects of biocrust growth and toxin pool accumulations with arid-relevant desertification drivers.

ArabBert-LSTM: improving Arabic sentiment analysis based on transformer model and Long Short-Term Memory.

Sentiment analysis also referred to as opinion mining, plays a significant role in automating the identification of negative, positive, or neutral sentiments expressed in textual data. The proliferation of social networks, review sites, and blogs has rendered these platforms valuable resources for mining opinions. Sentiment analysis finds applications in various domains and languages, including English and Arabic. However, Arabic presents unique challenges due to its complex morphology characterized by inflectional and derivation patterns. To effectively analyze sentiment in Arabic text, sentiment analysis techniques must account for this intricacy. This paper proposes a model designed using the transformer model and deep learning (DL) techniques. The word embedding is represented by Transformer-based Model for Arabic Language Understanding (ArabBert), and then passed to the AraBERT model. The output of AraBERT is subsequently fed into a Long Short-Term Memory (LSTM) model, followed by feedforward neural networks and an output layer. AraBERT is used to capture rich contextual information and LSTM to enhance sequence modeling and retain long-term dependencies within the text data. We compared the proposed model with machine learning (ML) algorithms and DL algorithms, as well as different vectorization techniques: term frequency-inverse document frequency (TF-IDF), ArabBert, Continuous Bag-of-Words (CBOW), and skipGrams using four Arabic benchmark datasets. Through extensive experimentation and evaluation of Arabic sentiment analysis datasets, we showcase the effectiveness of our approach. The results underscore significant improvements in sentiment analysis accuracy, highlighting the potential of leveraging transformer models for Arabic Sentiment Analysis. The outcomes of this research contribute to advancing Arabic sentiment analysis, enabling more accurate and reliable sentiment analysis in Arabic text. The findings reveal that the proposed framework exhibits exceptional performance in sentiment classification, achieving an impressive accuracy rate of over 97%.

Is there a relationship between low back pain and ligamentum flavum hypertrophy?

OBJECTIVE: A condition known as ligamentum flavum (LF) hypertrophy occurs when the ligamentum flavum (LF) swells as a result of pressures applied to the spine. Among the elderly population, lumbar spinal stenosis is a major cause of pain and disabilities. Numerous studies indicate that lumbar spinal stenosis etiology involves the ligamentum flavum in a major way. This study looks into the relationship between low back pain and ligamentum flavum thickening. PATIENTS AND METHODS: The imaging tests and case histories of all patients with low back pain who had consecutive magnetic resonance imaging exams performed at the Prince Sattam University and King Khalid hospitals in Al Kharj City will serve as the basis for this retrospective observational study. A radiologist utilized the Pfirrmann grading system, which is based on spinal levels starting from the first lumbar to the first sacral vertebrae, to measure the thickness of the ligamentum flavum in all cases who underwent magnetic resonance imaging (MRI). A correlation between age, hypertrophy of LF, and low back pain was investigated. RESULTS: There were 79 participants in the study, ages ranging from 21 to 82, 49 of which were men. The patients' average age was 54 years, and 62% of them were men. We found no appreciable variations in LF thickness according to gender. At the L4-L5 and L5-S1 levels, the left LF was noticeably thicker than the right. Moreover, there was a significant difference (p < 0.05) in the bilateral LF thicknesses at L5-S1 compared to the comparable sides at L4-L5. CONCLUSIONS: By evaluating the thickness of LF on magnetic resonance images, we discovered that it may be closely associated with the etiology of pain processes in the spine.

Symptoms and management of cow's milk allergy: perception and evidence.

Introduction: The diagnosis and management of cow's milk allergy (CMA) is a topic of debate and controversy. Our aim was to compare the opinions of expert groups from the Middle East (n = 14) and the European Society of Paediatric Gastroenterology, Hepatology and Nutrition (ESPGHAN) (n = 13). Methods: These Expert groups voted on statements that were developed by the ESPGHAN group and published in a recent position paper. The voting outcome was compared. Results: Overall, there was consensus amongst both groups of experts. Experts agreed that symptoms of crying, irritability and colic, as single manifestation, are not suggestive of CMA. They agreed that amino-acid based formula (AAF) should be reserved for severe cases (e.g., malnutrition and anaphylaxis) and that there is insufficient evidence to recommend a step-down approach. There was no unanimous consensus on the statement that a cow's milk based extensively hydrolysed formula (eHF) should be the first choice as a diagnostic elimination diet in mild/moderate cases. Although the statements regarding the role for hydrolysed rice formula as a diagnostic and therapeutic elimination diet were accepted, 3/27 disagreed. The votes regarding soy formula highlight the differences in opinion in the role of soy protein in CMA dietary treatment. Generally, soy-based formula is seldom available in the Middle-East region. All ESPGHAN experts agreed that there is insufficient evidence that the addition of probiotics, prebiotics and synbiotics increase the efficacy of elimination diets regarding CMA symptoms (despite other benefits such as decrease of infections and antibiotic intake), whereas 3/14 of the Middle East group thought there was sufficient evidence. Discussion: Differences in voting are related to geographical, cultural and other conditions, such as cost and availability. This emphasizes the need to develop region-specific guidelines considering social and cultural conditions, and to perform further research in this area.

In-Vitro Study of the Binding of Atorvastatin with Adenine using Multi-Spectroscopic Approaches.

Atorvastatin-an oral lipid regulating drug is a competitive inhibitor of 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMG-CoA reductase), which is the rate determining enzyme for cholesterol synthesis. Adenine is a purine nucleobase that is found in deoxyribonucleic acid (DNA) and ribonucleic acid (RNA) to generate genetic information. The binding mechanism of atorvastatin and adenine was studied for the first time utilizing various techniques, including UV-visible spectrophotometry, spectrofluorimetry, synchronous fluorescence spectroscopy (SF), Fourier transform infrared (FTIR), fluorescence resonance energy transfer (FRET), and metal ion complexation. The fluorescence spectra of the complex indicated that atorvastatin is bound to adenine via hydrophobic interaction through a spontaneous binding process, and the fluorescence quenching mechanism was found to be static quenching with a binding constant of 1.4893 × 104 Lmol-1 at 298 K. Various temperature settings were used to investigate thermodynamic characteristics, such as binding forces, binding constants, and the number of binding sites. The interaction parameters, including the standard enthalpy change (ΔHο) and standard entropy change (ΔSο) were calculated using Van't Hoff's equation to be 42.82 kJmol-1 and 208.9 Jmol-1K-1, respectively. The findings demonstrated that the adenine- atorvastatin binding was endothermic. Furthermore, the results of the experiments revealed that some metal ions (K+, Ca+2, Co+2, Cu+2, and Al+3) facilitate the binding interaction between atorvastatin and adenine. Slight changes are observed in the FTIR spectra of adenine, indicating the binding interaction between adenine and atorvastatin.

Sequence-Dependent Surface Coverage of ssDNA Coatings on Single-Wall Carbon Nanotubes.

A combination of experimental measurements and molecular dynamics (MD) simulations was used to investigate how the surfaces of single-wall carbon nanotubes (SWCNTs) are covered by adsorbed ssDNA oligos with different base compositions and lengths. By analyzing the UV absorption spectra of ssDNA-coated SWCNTs before and after coating displacement by a transparent surfactant, the mass ratios of adsorbed ssDNA to SWCNTs were determined for poly-T, poly-C, GT-containing, and AT-containing ssDNA oligos. Based on the measured mass ratios, it is estimated that an average of 20, 22, 26, or 32 carbon atoms are covered by one adsorbed thymine, cytosine, adenine, or guanine nucleotide, respectively. In addition, the UV spectra revealed electronic interactions of varying strengths between the nucleobase aromatic rings and the nanotube π-systems. Short poly-T DNA oligos show stronger π-π stacking interactions with SWCNT surfaces than do short poly-C DNA oligos, whereas both long poly-C and poly-T DNA oligos show strong interactions. These experiments were complemented by MD computations on simulated systems that were constrained to match the measured ssDNA/SWCNT mass ratios. The surface coverages computed from the MD results varied with oligo composition in a pattern that correlates higher measured yields of nanotube fluorescence with greater surface coverage.

Virus-Shaped Mesoporous Silica Nanostars to Improve the Transport of Drugs across the Blood-Brain Barrier.

Conditions affecting the brain are the second leading cause of death globally. One of the main challenges for drugs targeting brain diseases is passing the blood-brain barrier (BBB). Here, the effectiveness of mesoporous silica nanostars (MSiNSs) with two different spike lengths to cross an in vitro BBB multicellular model was evaluated and compared to spherical nanoparticles (MSiNP). A modified sol-gel single-micelle epitaxial growth was used to produce MSiNS, which showed no cytotoxicity or immunogenicity at concentrations of up to 1 µg mL-1 in peripheral blood mononuclear and neuronal cells. The nanostar MSiNS effectively penetrated the BBB model after 24 h, and MSiNS-1 with a shorter spike length (9 ± 2 nm) crossed the in vitro BBB model more rapidly than the MSiNS-2 with longer spikes (18 ± 4 nm) or spherical MSiNP at 96 h, which accumulated in the apical and basolateral sides, respectively. Molecular dynamic simulations illustrated an increase in configurational flexibility of the lipid bilayer during contact with the MSiNS, resulting in wrapping, whereas the MSiNP suppressed membrane fluctuations. This work advances an effective brain drug delivery system based on virus-like shaped MSiNS for the treatment of different brain diseases and a mechanism for their interaction with lipid bilayers.

A new fabricated hetero-atom doped carbon quantum dots as a fluorescent probe for metronidazole determination using garlic and red lentils with microwave assistance.

Biocompatible and highly fluorescent phosphorus, nitrogen and sulfur carbon quantum dots (P,N,S-CQDs) were synthesized using a quick and ecologically friendly process inspired from plant sources. Garlic and red lentils were utilized as natural and inexpensive sources for efficient synthesis of the carbon-based quantum dots using green microwave-irradiation, which provides an ultrafast route for carbonization of the organic biomass and subsequent fabrication of P,N,S-CQDs within only 3 min. The formed P,N,S-CQDs showed excellent blue fluorescence at λem = 412 nm when excited at 325 nm with a quantum yield up to 26.4%. These fluorescent dots were used as a nano-sensor for the determination of the commonly used antibacterial and antiprotozoal drug, metronidazole (MTR). As MTR lacked native fluorescence and prior published techniques had several limitations, the proposed methodology became increasingly relevant. This approach affords sensitive detection with a wide linear range of 0.5-100.0 µM and LOD and LOQ values of 0.14 µM and 0.42 µM, respectively. As well as, it is cost-effective and ecologically benign. The MTT test was used to evaluate the in-vitro cytotoxicity of the fabricated P,N,S-CQDs. The findings supported a minimally cytotoxic impact and good biocompatibility, which provide a future perspective for the applicability of these CQDs in biomedical applications.

Role of adaptive radiotherapy during concomitant chemoradiotherapy for limited-stage small-cell lung cancer.

BACKGROUND: Tumor shrinkage is frequently observed during conventionally fractionated chemoradiotherapy for limited-stage small-cell lung cancer (SCLC). The specific goals of this study are to evaluate the gross tumor volume (GTV) changes due to treatment-induced tumor reduction during the course of radiotherapy (RT) and to examine its potential use in adaptive radiotherapy (ART) for tumor dose escalation or normal tissue sparing in patients with SCLC. MATERIALS AND METHODS: A total of 10 patients with SCLC eligible for chemoradiotherapy underwent computed tomography (CT) scan after Fractions 13 and 23 (at nominal doses of 23.4 Gy and 41.4 Gy, respectively). The GTV was delineated on the repeat CT scans, and two treatment plans were generated with or without adaptation to tumor shrinkage during RT for each patient. Dosimetric and volumetric analyses were performed. RESULTS: The average GTV reduction observed over 13 fractions was 58.5% (range: 13.2%-92.3%; P < 0.001) and over 23 fractions was 70% (range: 36.9%-84.5%; P < 0.001). Compared with the plan without adaptation, ART resulted in mean lung dose relative decreases of 8.7%, mean lung volume receiving ≥20 Gy relative decreases of 5%, mean lung volume receiving ≥5Gy relative decreases of 10%, mean medulla spinalis dose relative decreases of 21 cGy, mean esophagus volume receiving ≥50 Gy relative decreases of 19%, and mean heart volume receiving ≥42 Gy relative decreases of 13%. The benefits of ART were the greatest for tumor volumes ≥30 cm 3 and are directly dependent on GTV reduction during treatment. CONCLUSION: ART for SCLC achieved a significant benefit in terms of organ at risk (OAR) and dose escalation.

Awareness of Antibiotic Misuse in Upper Respiratory Tract Infections Among Adults in the Bisha Governorate in 2024.

INTRODUCTION: Antibiotics are targeted to kill or inhibit the growth of bacteria and have no effect on viral agents. Unfortunately, viruses cause about 80% of respiratory tract infections, and up to 75% of antibiotics are prescribed for URTIs. Overuse of antibiotics is linked to a number of issues, including the emergence of antibacterial resistance, an increase in the prevalence of chronic illnesses, a rise in the expense of healthcare services, and the emergence of side effects. This study aimed to assess the awareness of antibiotic misuse for URTIs among adults in the Bisha governorate in 2024. METHODS AND MATERIALS: A community-based, cross-sectional study was conducted in the Bisha governorate among the adult population. Data was collected using an online standardized self-administered adapted questionnaire. The questions vary from multiple choice to Likert scale questions, and each question has 2 points. Data was analyzed using SPSS version 26 (IBM SPSS Statistics, Armonk, NY). RESULTS: The response rate was about 85.3% (721/845). The ages of the participants ranged between 18 and 75 years. There were 360 (49.9%) male respondents and 361 (50.1%) female respondents. The study revealed that 83.1% (599) of the participants have poor awareness of antibiotic misuse in URTIs. Knowledge of antibiotic misuse consequences was poor at 66.7% (481). There was a significant difference observed between the residents of Bisha city compared to the residents of Bisha villages in total knowledge level about antibiotic misuse in URTIs (p = 0.030). CONCLUSION AND RECOMMENDATIONS: The population of the Bisha governorate has a poor knowledge of antibiotic misuse in URTIs. Therefore, efforts should be made to increase the knowledge and awareness of the general public about the problem.

Nurturing Success: E-Learning readiness and academic self-efficacy in nursing students.

BACKGROUND: As nursing education embraces e-learning as a vital component of its pedagogical approach, understanding the interplay between students' readiness for E-learning and their academic self-efficacy becomes imperative in nurturing successful learning outcomes amidst evolving educational paradigms. PURPOSE: This study aimed to explore the relationship between e-learning readiness, academic self-efficacy, and the academic achievement of nursing students within the dynamic educational environment. DESIGN: This study employed a cross-sectional design. METHODS: A total of 208 nursing students were recruited through convenience sampling at the end of the second semester in 2022. The evaluation included the utilization of Grade Point Average, the Online Learning Readiness Scale, and the Academic Self-Efficacy Scale. FINDINGS: Previous research has indicated a significant positive correlation between academic achievement and readiness for e-learning, suggesting that higher levels of readiness for e-learning among nursing students lead to improved academic achievement (p ≤ 0.001). Additionally, the findings of the current study revealed a notable positive correlation between academic achievement and academic self-efficacy (p ≤ 0.001). CONCLUSION: This study provides valuable insights into the critical role of academic self-efficacy and e-learning readiness in enhancing academic achievement among nursing students.

The use of cap-mounted clips as a primary hemostatic modality in nonvariceal upper gastrointestinal bleeding: A systematic review and meta-analysis of randomized trials.

BACKGROUND: Cap-mounted-clips, especially Over-The-Scope-Clip (OTSC™), are recommended for recurrent nonvariceal upper gastrointestinal bleeding (NVUGIB). There has been recent interest in their use as an initial hemostatic modality. We performed a systematic review of randomized controlled trials (RCTs) assessing cap-mounted clips' efficacy as a primary hemostatic modality in NVUGIB. METHODS: A literature search of MEDLINE, EMBASE, and ISI Web of Science databases up to April 2024 identified RCTs comparing cap-mounted clips to standard endoscopic therapy (SET) as a primary hemostatic modality in NVUGIB. The primary endpoint was the composite outcome of further bleeding (persistent or recurrent) at 30 days. Secondary outcomes included persistent bleeding at index endoscopy and 30-day rebleeding, individually. Other pertinent outcomes were also recorded. A meta-analysis was performed to determine pooled risk ratios (RRs), comparing cap-mounted clip to SET. Out of 516 citations, five RCTs (n = 555), all assessing OTSC™, were included. RESULTS: The composite outcome of further bleeding was lower with cap-mounted clip versus SET (RR = 0.33 [95% confidence interval {CI}: 0.20-0.54]). There was no difference in persistent bleeding at initial endoscopy (RR = 0.30 [95% CI: 0.07-1.30]), but 30-day rebleeding was lower with cap-mounted clip (RR = 0.38 [95% CI: 0.21-0.70]). There were no differences in other outcomes. Grading of the evidence ranged from very low to moderate, mainly due to risk of bias and imprecision. CONCLUSIONS: Cap-mounted clips may be an efficacious primary hemostatic modality, associated with a lower further bleeding at 30 days compared to SET in NVUGIB. However, due to limitations in existing evidence, further research must better characterize an optimal subgroup of patients benefiting most from this approach before adopting its routine use.

Removal of organic contamination from wastewater using granular activated carbon modified-Polyethylene glycol: Characterization, kinetics and isotherm study.

To effectively remove Diazinon (DZ), Amoxicillin (AMX), and Crystal Violet (CV) from aquatic environments, a novel granular activated carbon (GAC) modified with Polyethylene glycol 600 (PEG) was created and manufactured. The chemical properties were investigated using a variety of characteristic analyses, including FT-IR, XRD, FESEM, and N2 adsorption/desorption. The effectiveness of GAC-PEG's adsorption for the removal of DZ, AMX, and CV was assessed under a variety of conditions, including a pH of 4-9 for the solution, 0.003-0.05 g doses of adsorbent, 50-400 ppm starting concentration, and a reaction time of 5-25 min. For DZ, AMX, and CV adsorption, the maximum adsorption capacity (Qmax) was 1163.933, 1163.100, and 1150.300 mg g-1, respectively. The Langmuir isotherm described all of the data from these adsorption experiments, and the pseudo-second-order well explains all-adsorption kinetics. Most contacts between molecules, electrostatic interactions, π-π interactions, hydrogen bonding, and entrapment in the modified CAG network were used to carry out the DZ, AMX, and CV adsorption on the GAC-PEG. The retrievability of the prepared adsorbent was successfully investigated in studies up to two cycles without loss of adsorption efficiency, and it was shown that it can be efficiently separated.

Clinical meaningfulness and psychometric robustness of the MG Symptoms PRO scales in clinical trials in adults with myasthenia gravis.

Objectives: The objective of this research was to generate psychometric evidence supporting the myasthenia gravis (MG) symptoms patient-reported outcome (PRO) scales as a fit-for-purpose measure of severity of core symptoms of MG and provide information allowing their meaningful interpretation using data from a phase 3 study in MG. Methods: Data from the MycarinG study, a phase 3 study of rozanolixizumab in patients with generalized MG who experience moderate to severe symptoms (ClinicalTrials.gov Identifier: NCT03971422) were analyzed with both classical test theory (CTT) and Rasch measurement theory (RMT). Meaningful within-individual change and group-level meaningful change were estimated for three MG Symptoms PRO scales using anchor- and distribution-based methods. Anchor-based methods used patient global impression of severity (PGIS) and change (PGIC) in MG symptoms as anchors. Results: Good measurement properties of the MG Symptoms PRO scales were shown in the sample of 200 participants: good to excellent reliability (test-retest and internal consistency reliability) and validity (associations between items and scores within the MG Symptoms PRO scales and between the MG Symptoms PRO scores and other clinical outcomes-MG ADL, QMG score, MGC score, and MGFA classes-were as expected); and the items showed good coverage of the continuum and fit to the Rasch model. Triangulation of the anchor- and distribution-based method results led to the definition of clinically meaningful within-patient improvement in scores for Muscle Weakness Fatigability (-16.67), Physical Fatigue (-20.00), and Bulbar Muscle Weakness (-20.00), with associated ranges. Benchmarks are also proposed for the interpretation of group-level results. Conclusion: The strong psychometric performance of the MG Symptoms PRO scales and the information generated to guide its interpretation supports its use in clinical trials for demonstrating the clinical benefits of new treatments targeting core symptoms of MG (muscle weakness fatigability, physical fatigue, bulbar muscle weakness, respiratory muscle weakness, and ocular muscle weakness).

Interleukin-10 as a marker for response to dendritic cells-dribbles immunotherapy in hepatocellular carcinoma, a mice model.

Cancer immunotherapy is a promising strategy in cancer management, including hepatocellular carcinoma (HCC). This experimental study aimed to evaluate interleukin-10 (IL-10) as a biomarker for monitoring the response of tumor-derived autophagosomes vaccine in inducing antitumor immunity in HCC induced mice. It was conducted on 56 BALB/c mice; divided into 20 normal and 36, cancer induced with human liver cancer cell line (HepG2) cells. The latter group was subdivided into a positive control group (n=6) and a treated group (n=30), that was subdivided into 3 subgroups: (A) treated with dendritic cells (DC) vaccine only, (B) treated with vaccine named Dribbles only, and (C) treated with DC plus Dribbles. Serum IL-10 was assessed after immunotherapy. The mean percentage of tumor volume reduction in mice vaccinated by DC plus Dribbles was significantly superior to DC and Dribbles groups (p= 0.013, and p= 0.043, respectively). There was a statistically significant difference in IL-10 levels between different immunotherapy groups (p= 0.0003). As the mean IL-10 level was 19.50 pg/ml for the positive control group, 13 pg/ml for Dribbles group, 10 pg/ml for DCs group and 3.50 pg/ml for DCs plus Dribbles group. We conclude that DC-Dribbles vaccine has a remarkable efficacy superior to either Dribbles alone or DC alone in the decline of HCC development and survival improvement. IL-10 is a predictive biomarker for response after immunotherapy.

High-Efficiency Adsorption of Uranium from Wastewater Using Graphene Oxide/Graphene Oxide Nanoribbons/Chitosan Nanocomposite Aerogels.

A chemical exfoliation and freeze-drying technique was used to create graphene oxide/graphene oxide nanoribbons/chitosan aerogels (GO/GONRs/CS). Aerogels were utilized to study uranium adsorption through batch experiments. Environmental influences on U(VI) adsorption were studied, including the starting concentration of U(VI), contact time, pH, and temperature. In order to characterize the composite, FTIR, SEM, XRD, and TEM analyses were used. A pseudo-second-order kinetic model may adequately represent the kinetics of U(VI) adsorption onto the surface of aerogels. The Freundlich model can explain the adsorption isotherm; the maximal adsorption capacity for U(VI) was determined to be 1208.85 mg/g; the adsorption process for U(VI) was endothermic, spontaneous, and pH-dependent; and the mechanism of adsorption is the chemisorption process. Chemisorption typically involves strong chemical interactions between the adsorbate (uranium ions) and the functional groups present on the surface of the adsorbent (the aerogel). Graphene oxide and graphene oxide nanoribbons contain oxygen-containing functional groups such as carboxyl (-COOH), hydroxyl (-OH), and epoxy (-O-) groups, which can act as active sites for chemical bonding. Chitosan, a polysaccharide derived from chitin, also possesses functional groups like amino (-NH2) and hydroxyl groups. Uranium ions, in their U(VI) form, can form chemical bonds with these functional groups through various mechanisms such as electrostatic interactions, complexation, and coordination bonds. The combination of graphene oxide-based materials and chitosan in the nanocomposite aerogel offers several advantages, including a large specific surface area, chemical stability, and the presence of functional groups for effective uranium adsorption.

Determinants of knowledge and perception about menopause among Saudi women: A cross-sectional study.

Background: Healthcare professionals and educators closely monitor the occurrence of climacteric symptoms in women's primes. Knowledge and perception of menopause play a crucial role in improving quality of life. This study aimed to assess the knowledge and perceptions of menopause among Saudi women and identify its predictors. This study is the first of its kind in the southern region of Saudi Arabia. Methods: Conducted in accordance with the STROBE guidelines, this cross-sectional study was carried out in the Jazan region from May 2022 to January 2023 and involved 480 Saudi women who provided consent. Data were collected through interviews using a validated questionnaire and random sampling. The questionnaire consisted of four parts: informed consent, demographics, 21 knowledge questions, and ten menopause perception questions. The validity of the content and the internal consistency were evaluated before data collection. Primary healthcare centers were randomly selected from four governorates with a proportional sample size to the population. Descriptive analysis, Pearson correlation, and multivariate logistic regression analyses were performed using IBM-SPSS. Results: Among the participants, 64 % were under 40 years old, 80 % had experienced menarche between the ages of 10 and 15, 48 % were employed, approximately half held a bachelor's degree, and they had a good family income. The mean knowledge score of the participants was 48.87 ± 11.72, with a minimum score of 27 and a maximum score of 78. In terms of knowledge categories, 56.3 % of the participants (N = 270) were classified as having low knowledge, while 43.8 % (N = 210) were classified as having high knowledge. Most of the participants had positive perceptions and agreed that menopause is a natural event in women's lives. There was a significant positive correlation between knowledge and perception (R = 0.219, P < 0.01). Variable findings were observed regarding the role of explanatory variables in women's knowledge of menopause between univariate and multivariate models. The results of the multivariate model showed that age (46-50 years, OR = 0.42), having children (OR = 1.09), residence (OR = 0.45-5.73) and family income categories (medium: OR = 3.98, good: OR = 3.78, and excellent: OR = 1.95) had a significant impact on knowledge, highlighting the correlation between demographic factors and knowledge. Conclusions: Based on the study findings, we recommend implementing workplace and community-based activities to increase women's awareness of menopause and incorporating it as an integral part of counseling sessions for women in this age group. Therefore, the results of the study will be shared with the relevant authorities responsible for women's health, enabling them to effectively support and educate women.

Comparison of the ability of short time low PEEP challenge and mini fluid challenge to predict fluid responsiveness in patients undergoing open pancreaticoduodenectomy: an observational cohort study.

OBJECTIVE: The mini-fluid challenge (MFC), which assesses the change in stroke volume index (SVI) following the administration of 100 mL of crystalloids, and the short-time low positive end-expiratory pressure (PEEP) challenge (SLPC), which evaluates the temporary reduction in SVI due to a PEEP increment, are two functional hemodynamic tests used to predict fluid responsiveness in the operating room. However, SLPC has not been assessed in patients undergoing abdominal surgery, and there is no study comparing these two methods during laparotomy. Therefore, we aimed to compare the SLPC and MFC in patients undergoing open pancreaticoduodenectomy. PATIENTS AND METHODS: All patients received a standard hemodynamic management. The study protocol evaluated the percentage change in SVI following the application of an additional 5 cmH2O PEEP (SVIΔ%-SLPC) and the infusion of 100 mL crystalloid (SVIΔ%-MFC). Challenges that resulted in an increase of more than 15% in SVI after the 500 ml of fluid loading were classified as positive challenges (PC). Areas under the receiver operating characteristics curves (ROC AUCs) were used for the comparison of the methods. RESULTS: Thirty-three patients completed the study with 94 challenges. Fifty-five (58.5%) of them were PCs. The ROC AUC of SVIΔ%-MFC was observed to be significantly higher than that of SVIΔ%-SLPC (0.97 vs. 0.64, p < 0.001). The best cut-off value for SVIΔ%-MFC was 5.6%. If we had stopped the bolus fluid administration when SVIΔ%-MFC ≤ 5% was observed (lower limit of the gray zone), we would have postponed the fluid loading in 35 (89.7%) of 39 negative challenges. The amount of fluid deferred would have corresponded to up to 40% of the total fluid given. CONCLUSIONS: SVIΔ%-MFC predicts fluid responsiveness with high diagnostic performance and is better than SVIΔ%-SLPC in patients undergoing open pancreatoduodenectomy. Additionally, the use of SVIΔ%-MFC has the potential to defer up to 40% of the total fluid given. CLINICALTRIALS: gov: NCT05419570.