Impact of "Enhanced Recovery After Surgery" (ERAS) protocols vs. traditional perioperative care on patient outcomes after colorectal surgery: a systematic review.

Background: Colorectal surgery is associated with a high risk of postoperative complications, including technical complications, surgical site infections, and other adverse events affecting patient safety and overall patient experience. "Enhanced Recovery After Surgery" (ERAS) is considered a new standard of care for streamlining the perioperative care of surgical patients with the goal of minimizing complications and optimizing timely patient recovery after surgery. This systematic review was designed to investigate the evidence-based literature pertinent to comparing patient outcomes after ERAS versus conventional perioperative care.

Predictors of anemia among infants at the age of one year attending health centers in the West Bank/Palestine: a retrospective study.

Background: Anemia is a major problem among infants aged under 1 year. There are limited studies in Palestine about anemia among infants. Thus, this study aimed to address this gap.

Hesperidin Improves Wound Healing and Mineralization of Periodontal Ligament Cells in Elevated Glucose Conditions.

Introduction: Elevated glucose can have a detrimental effect on the function and healing process of periodontal cells in inflammatory conditions. Hesperidin (HPN), a bioflavonoid found abundantly in citrus fruits, has numerous biological benefits, including regenerative and anti-inflammatory properties. The current in-vitro study aimed to assess the impact of HPN on the proliferation, wound healing, and functionality of periodontal cells in optimal and elevated glucose conditions.

Does preservice teachers' contact with children with intellectual disabilities during their practicum impact their attitudes and teaching practices? "If you don't have the heart, you can't cope … ".

Background: This study sought to explore the effects of preservice teachers' contact with children with intellectual disabilities on their attitudes. The study was conducted against the backdrop of the exclusion and discrimination experienced by children with intellectual disabilities in Ghanaian schools.

Method: Twenty-two preservice teachers who interned at a special school for children with intellectual disabilities were interviewed before and after their practicums, and the gathered data underwent thematic analysis.

Penehyclidine Hydrochloride: A Promising Antimuscarinic Agent for PONV Prophylaxis in Diverse Surgical Procedures.

Purpose: The purpose of this meta-analysis is to measure the effectiveness of penehyclidine hydrochloride hydrate (PHC)-an antimuscarinic drug-in preventing postoperative nausea and vomiting (PONV) for different surgeries.

Design: Meta-analysis.

Methods: According to the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines, we conducted an online literature search using PubMed, Web of Science, Scopus, and Embase databases.

Mangrove-based carbon market projects: What stakeholders need to address during pre-feasibility assessment.

Mangrove-based carbon market projects (MbCMP) aim to conserve, protect and restore mangrove habitats in order to generate high quality blue carbon credits via a crediting program, as a contribution to climate change mitigation/adaptation, biodiversity conservation, ecosystem services provision and local socio-economic development. The blue carbon credits generated are transferable, verifiable and sold through carbon markets to earn additional income for governments and local communities. The main aim of the paper is to provide important considerations for pre-field planning, that is, how challenges associated with fieldwork, project implementation, and monitoring reporting and verification (MRV) can be addressed with proper pre-field planning.

Theoretical investigation of the AΠ-XΣ, BΣ-XΣ, CΣ-XΣ, and EΠ-XΣ transitions of the CO molecule.

The spectrum of carbon monoxide is important for astrophysical media, such as planetary atmospheres, interstellar space, exoplanetary and stellar atmospheres; it also important in plasma physics, laser physics and combustion. Interpreting its spectral signature requires a deep and thorough understanding of its absorption and emission properties. A new accurate spectroscopic model for the ground and electronically-excited states of the CO molecule computed at the aug-cc-pV5Z CASSCF/MRCI+Q level is reported.

Enhancing metformin efficacy with cholecalciferol and taurine in diabetes therapy: Potential and limitations.

Diabetes mellitus, particularly type 2 diabetes mellitus (T2DM), poses a significant global health challenge. Traditional management strategies primarily focus on glycemic control; however, there is a growing need for comprehensive approaches addressing the complex pathophysiology of diabetes complications. The recent study by Attia explores the potential of a novel therapy combining metformin with cholecalciferol (vitamin D3) and taurine to mitigate T2DM-related complications in a rat model.

Dynamics and asymptotic profiles of a local-nonlocal dispersal SIR epidemic model with spatial heterogeneity.

This research investigates a novel approach to modeling an SIR epidemic in a heterogeneous environment by imposing certain restrictions on population mobility. Our study reveals the influence of partially restricting the mobility of the infected population, who are allowed to diffuse locally and can be modeled using random dispersion. In contrast, the non-infective population, which includes susceptible and recovered individuals, has more freedom in their movements.

Remarkable improvement in drilling fluid properties with graphitic-carbon nitride for enhanced wellbore stability.

This study examines the viability of using graphitic-Carbon Nitride (g-CN) nanomaterial as shale stabilizer drilling fluid additive having applications in the oil and gas wells drilling. Shale stability is important especially when drilling horizontal and extended reach wells with water-based muds (WBM) to tap unconventional reservoirs namely shale oil and shale gas. For this study, the g-CN nanomaterial was produced by melamine pyrolysis, and characterized by X-Ray Diffraction, Scanning Electron Microscopy and Fourier Transform Infrared spectroscopy techniques.

Optimal extreme learning machine for diagnosing brain tumor based on modified sailfish optimizer.

This study proposes a hierarchical automated methodology for detecting brain tumors in Magnetic Resonance Imaging (MRI), focusing on preprocessing images to improve quality and eliminate artifacts or noise. A modified Extreme Learning Machine is then used to diagnose brain tumors that are integrated with the Modified Sailfish optimizer to enhance its performance. The Modified Sailfish optimizer is a metaheuristic algorithm known for efficiently navigating optimization landscapes and enhancing convergence speed.

Diagnostic Challenges and Insights Into Granulomatous Mastitis: A Systematic Review.

Granulomatous mastitis (GM) is a chronic inflammatory breast condition that presents significant diagnostic challenges due to its clinical and imaging similarities to malignancies. Accurate diagnosis is crucial to avoid unnecessary interventions and ensure effective management. A total of 1,216 articles were initially identified through a comprehensive database search.

Burden of rheumatic diseases among people with diabetes: A systematic review and meta-analysis.

Diabetes mellitus type 2 (DM2) is a prevalent metabolic condition affecting over 500 million people globally and associated with serious comorbidities, including various rheumatologic conditions. Some studies have reported a significant association between rheumatological conditions and DM2. However, the global burden of rheumatological conditions among people with DM2 remains unknown.

Predicting Chlorophyll- Concentrations in the World's Largest Lakes Using Kolmogorov-Arnold Networks.

Accurate prediction of chlorophyll- (Chl-) concentrations, a key indicator of eutrophication, is essential for the sustainable management of lake ecosystems. This study evaluated the performance of Kolmogorov-Arnold Networks (KANs) along with three neural network models (MLP-NN, LSTM, and GRU) and three traditional machine learning tools (RF, SVR, and GPR) for predicting time-series Chl- concentrations in large lakes. Monthly remote-sensed Chl- data derived from Aqua-MODIS spanning September 2002 to April 2024 were used.

Resistance mechanisms to immune checkpoint inhibitors: updated insights.

The last decade has witnessed unprecedented succusses with the use of immune checkpoint inhibitors in treating cancer. Nevertheless, the proportion of patients who respond favorably to the treatment remained rather modest, partially due to treatment resistance. This has fueled a wave of research into potential mechanisms of resistance to immune checkpoint inhibitors which can be classified into primary resistance or acquired resistance after an initial response.

Financial crisis and its association with parental stress and children's mental health in Lebanon.

Background: Lebanon has experienced a series of devastating crises that continue to have significant adverse effects on the mental health of parents and their children, especially those who are unemployed, burdened with debt or financial difficulties, and have pre-existing mental health conditions. Accordingly, this study aimed to assess the effect of financial insecurities on parents in Lebanon amid the multiple crises, and the impact of parents' mental health on their children's emotional and behavioral wellbeing.

Methods: A cross-sectional study including 589 parents in Lebanon was performed using convenience sampling of parents of any gender with children aged 4 to 18 from the five Lebanese governorates.

Determining anatomically-safe corridors for placement of lateral mass screws in the first cervical vertebra of the Emirati population - a CT study.

The first cervical vertebra (C1) is atypical in shape and bears a complex relationship with important neurovascular structures such as the vertebral artery and cervical spinal cord which are at risk of injury during misplaced screw fixation of C1. Placement of screws into the lateral mass of C1 vertebra is performed for stabilization of the craniovertebral junction. The objective of this study was to describe ideal screw dimensions, precise entry points, safe bony corridors, and ideal trajectories for placement of lateral mass screws in the Emirati population.

Developing a brain inspired multilobar neural networks architecture for rapidly and accurately estimating concrete compressive strength.

Concrete compressive strength is a critical parameter in construction and structural engineering. Destructive experimental methods that offer a reliable approach to obtaining this property involve time-consuming procedures. Recent advancements in artificial neural networks (ANNs) have shown promise in simplifying this task by estimating it with high accuracy.

Discovering potential ERK1 inhibitors from natural products for therapeutic targeting of Alzheimer's disease.

Background: Extracellular signal-regulated kinase 1 (ERK1) belongs to mitogen-activated protein kinases, which are essential for memory formation, cognitive function, and synaptic plasticity. During Alzheimer's disease (AD), ERK1 phosphorylates tau at 15 phosphorylation sites, leading to the formation of neurofibrillary tangles. The overactivation of ERK1 in microglia promotes the release of pro-inflammatory cytokines, which results in neuroinflammation.

Impact of iron oxide nanoparticles on cadmium toxicity mitigation in Brassica napus.

Cadmium (Cd) contamination greatly hinders plant productivity. Nanotechnology offers a promising solution for Cd phytotoxicity. The novelty of this study lies in the limited research on the effects of nanoiron (FeONPs) in regulating Cd toxicity in oilseed crops.

Effectiveness and Safety of Adalimumab in Patients With Very Early-Onset Inflammatory Bowel Disease: A Retrospective Study on Behalf of the Porto Inflammatory Bowel Disease Working Group of European Society for Pediatric Gastroenterology Hepatology and Nutrition.

Background And Aims: Patients with very early-onset inflammatory bowel disease (VEO-IBD), with an age of onset < 6 years, can present with severe manifestations and may require biologic therapy. Infliximab and adalimumab are approved for induction and maintenance in pediatric IBD patients but are licensed only above the age of 6 years. Effectiveness and safety data on adalimumab in this patient population are lacking.

Global insights and advances in edible coatings or films toward quality maintenance and reduced postharvest losses of fruit and vegetables: An updated review.

Transitioning to safe, nonthermal, and edible strategies for maintaining fruit and vegetable (F&V) quality, reducing postharvest losses (up to 55% annually), and ensuring food security requires extensive research and innovation in postharvest technologies. This review aims to provide an updated understanding of edible coatings or films (ECF), focusing on their role in reducing F&V postharvest losses, based on data from the last 40 years retrieved from the Web of Science database. The global ECF research network is represented by publication trends, majorly researched F&V, key research areas, influential and emerging authors, and global research ranking.

Pediatric Interventions in a Sanfilippo Syndrome Patient Under General Anesthesia: A Case Report.

Mucopolysaccharidosis (MPS) Type III (MPS III) or Sanfilippo syndrome is a rare autosomal recessive inherited metabolic disorder. This disorder is responsible for lysosomal storage disorder at the cellular aspect. Due to lysosomal enzyme perturbance leading to the alteration of macromolecule metabolisms, this cellular perturbance causes multiple severe systemic and mental outcomes.

Optimal sandwich panel's core design for an enhanced impact resistance.

Despite the extensive literature revealing various core structures that can enhance the impact resistance of composite panels, a comparative study illustrating the difference in performance of the various cores under same loading conditions is missing. The aim of this study is to determine the optimal core structure and design in terms of energy absorption under low-velocity impact using both numerical simulations and experimental testing for validation. Response surface analysis was used to design the experiments and analyse the panel's behaviour.