Adolescent nutrition in Nigeria: a systematic review.

In this systematic review, we scrutinise adolescent nutrition in Nigeria, focusing on dietary patterns, intake, and nutritional status. Through a systematic examination of observational studies across three major databases, we analysed data from 67,844 adolescents. Our exploration revealed 102 studies, predominantly cross-sectional, addressing various nutritional dimensions.

Application of Liquid Organic Fertilizer to Improve Yields in System of Rice Intensification (SRI).

<b>Background and Objective:</b> Organic fertilizer is a source of nutrition for plants which is an alternative to inorganic fertilizer. Liquid organic fertilizer (LOF) which comes from coconut fiber and banana LOF which comes from banana stems from which the fruit has been removed, so that wasted plant residue can be used as fertilizer. The study aimed to obtain the best type of LOF and concentration in increasing the growth and yield of the Batang Piaman rice variety using the SRI method.

STEP: extraction of underlying physics with robust machine learning.

A prevalent class of challenges in modern physics are inverse problems, where physical quantities must be extracted from experimental measurements. End-to-end machine learning approaches to inverse problems typically require constructing sophisticated estimators to achieve the desired accuracy, largely because they need to learn the complex underlying physical model. Here, we discuss an alternative paradigm: by making the physical model auto-differentiable we can construct a neural surrogate to represent the unknown physical quantity sought, while avoiding having to relearn the known physics entirely.

Capecitabine-loaded NLC for Breast Cancer Treatment: Preparation, Characterization, and In vitro Evaluation.

Background: Cancer treatment often involves the use of potent antineoplastic drugs like Capecitabine [CAP], which can lead to serious toxicities. There is a need for dosage forms to manage these toxicities that can deliver the medication effectively to the target site while maintaining therapeutic efficacy at lower doses. To achieve the aforesaid objective, NLC containing capecitabine [NANOBIN] was prepared and evaluated.

Disposition Kinetics of Cathinone and its Metabolites after Oral Administration in Rats.

Background: Cathinone is a natural stimulant found in the Catha edulis plant. Its derivatives make up the largest group of new psychoactive substances. In order to better understand its effects, it is imperative to investigate its distribution, pharmacokinetics, and metabolic profile.

Pre- and post-implementation protocol for non-operative management of grade III-V splenic injuries: An observational study.

Background: Grade (III-V) blunt splenic injuries (BSI) in hemodynamically stable patients represent clinical challenges for successful non-operative management (NOM). In 2014, Our institution proposed a treatment protocol requiring splenic angiography and embolization for stable, intermediate, and high-grade BSI. It also included a follow-up CT scan for grade III BSI.

Evaluation of Olfactory Dysfunction Among COVID-19 Patients in Baghdad, Iraq.

Background SARS‑CoV‑2 (COVID-19) causes olfactory dysfunction which is characterized by anosmia or hyposmia. Characterization of olfactory dysfunction has added value to the diagnosis and prognosis of the disease. Nevertheless, scarce information exists about COVID-19 patients suffering from olfactory dysfunction in Iraq.

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The demand for lithium-ion batteries (LIBs) has skyrocketed due to the fast-growing global electric vehicle (EV) market. The Ni-rich cathode materials are considered the most relevant next-generation positive-electrode materials for LIBs as they offer low cost and high energy density materials. However, by increasing Ni content in the cathode materials, the materials suffer from poor cycle ability, rate capability and thermal stability.

Etiological Evaluation in Children Referred to the Pediatric Cardiology Outpatient Clinic with Chest Pain.

Objectives: One of the most common reasons for pediatric cardiology referrals is chest pain in childhood. Although it is mostly innocent in character, it is rarely associated with life-threatening pathologies. In this study, it was aimed to evaluate the etiological causes in children with chest pain.

Investigating mechanisms of state localization in highly ionized dense plasmas.

We present experimental observations of K_{β} emission from highly charged Mg ions at solid density, driven by intense x rays from a free electron laser. The presence of K_{β} emission indicates the n=3 atomic shell is relocalized for high charge states, providing an upper constraint on the depression of the ionization potential. We explore the process of state relocalization in dense plasmas from first principles using finite-temperature density functional theory alongside a wave-function localization metric, and find excellent agreement with experimental results.

Seamless Coupling of Chemical Glycan Release and Labeling for an Accelerated Protein -Glycan Sample Preparation Workflow.

Analytical methods fr direct quantitative -glycan analysis require a sequence of sample preparation and clean-up steps that result in reduced glycan recovery. Therefore, we aimed to combine glycan release and labeling steps. Based on the hypothesis that the reaction mechanism for oxidative chemical glycan release comprises a stable glycan isocyanate intermediate, we investigated whether this could be exploited for the in-situ preparation of fluorescent glycan conjugates.

First evaluation of the performance of portable IGRA, QIAreach® QuantiFERON®-TB in intermediate TB incidence setting.

Diagnosis and treatment of tuberculosis infection (TBI) are the core elements of tuberculosis elimination. Interferon gamma release assays have advantages over the tuberculin skin test, although their implementation in low-resource settings is challenging. The performance of a novel digital lateral flow assay QIAreach® QuantiFERON®-TB (QIAreach QFT) against the QuantiFERON®-TB Gold Plus (QFT-Plus) assay was evaluated in an intermediate incidence setting (Malaysia) according to the manufacturer's instructions.

Factors associated with time of diagnosis and habilitation of congenital hearing loss in Indonesia: A multicenter study.

Objectives: To investigate factors associated with time of diagnosis and habilitation of congenital hearing loss in Indonesia.

Method: A retrospective cohort study was conducted from January to December 2020 by collecting data on patients with congenital hearing loss using validated questionnaires.

Result: Among 535 children with congenital hearing loss, 2.

Release of protein N-glycans by effectors of a Hofmann carboxamide rearrangement.

Chemical methods for glycan release have gained traction because of their cost efficiency, accelerated reaction time and ability to release glycans not amenable to enzymatic cleavage. Oxidative chemical glycan release via hypochlorite treatment has been shown to be a convenient and efficient method that yields N-glycans similar to classical PNGase F digestion. We observed that the initial steps of the suggested mechanism for the oxidative release of glycans from glycoproteins by hypohalites showed similarities to the initiating steps of the classical Hofmann rearrangement of carboxamides.

Failure modes and downtime of radiotherapy LINACs and multileaf collimators in Indonesia.

Background And Purpose: The lack of equitable access to radiotherapy (RA) linear accelerators (LINACs) is a substantial barrier to cancer care in low- and middle-income countries (LMICs). These nations are expected to bear up to 75% of cancer-related deaths globally by 2030. State-of-the-art LINACs in LMICs experience major issues in terms of robustness, with mechanical and electrical breakdowns resulting in downtimes ranging from days to months.

Human Growth Hormone Fragment 176-191 Peptide Enhances the Toxicity of Doxorubicin-Loaded Chitosan Nanoparticles Against MCF-7 Breast Cancer Cells.

Introduction: Numerous drugs with potent toxicity against cancer cells are available for treating malignancies, but therapeutic efficacies are limited due to their inefficient tumor targeting and deleterious effects on non-cancerous tissue. Therefore, two improvements are mandatory for improved chemotherapy 1) novel delivery techniques that can target cancer cells to deliver anticancer drugs and 2) methods to specifically enhance drug efficacy within tumors. The loading of inert drug carriers with anticancer agents and peptides which are able to bind (target) tumor-related proteins to enhance tumor drug accumulation and local cytotoxicity is a most promising approach.

Risk mapping and estimation of COVID-19 transmission in South Sulawesi, Indonesia by a self-identification survey.

The rapid transmission rate of coronavirus disease 2019 (COVID-19) is multi-factorial but primarily due to population mobility and aggregation. This research aimed at estimating the rate based on risk mapping and investigation of geospatial distribution. It was divided into different phases that included data collection through a self-identification form available online; data validation of the data collected; application of spatial statistics; comparison with official numbers of positive COVID-19; and mapping of the results.

Understanding the Link between Inflammasome and Apoptosis through the Response of THP-1 Cells against Drugs Using Droplet-Based Microfluidics.

Droplet-based microfluidic devices are used to investigate monocytic THP-1 cells in response to drug administration. Consistent and reproducible droplets are created, each of which acts as a bioreactor to carry out single cell experiments with minimized contamination and live cell tracking under an inverted fluorescence microscope for more than 2 days. Here, the effects of three different drugs (temsirolimus, rifabutin, and BAY 11-7082) on THP-1 are examined and the results are analyzed in the context of the inflammasome and apoptosis relationship.

DQC: A Python program package for differentiable quantum chemistry.

Automatic differentiation represents a paradigm shift in scientific programming, where evaluating both functions and their derivatives is required for most applications. By removing the need to explicitly derive expressions for gradients, development times can be shortened and calculations can be simplified. For these reasons, automatic differentiation has fueled the rapid growth of a variety of sophisticated machine learning techniques over the past decade, but is now also increasingly showing its value to support ab initio simulations of quantum systems and enhance computational quantum chemistry.

Adipsic Hypernatremia With Neurologic Manifestations in a Patient With Severe COVID-19 Pneumonia.

This report describes a case of a 50-year-old man with hypertension who was admitted with a history of fever, chills, and shortness of breath and tested positive for COVID-19. Shortly after resolving his acute respiratory distress syndrome (ARDS), he developed adipsic hypernatremia with associated confusion, lethargy, and weakness. COVID-19 is a serious disease that mainly targets the respiratory system; however, we must not overlook its effects on other organ systems.

Late development of giant hepatic artery pseudoaneurysm following abdominal trauma due to tire blast: case report and literature review.

Giant hepatic artery pseudoaneurysm is rare but could have a significant implication. A 35-year-old male was severely injured by a truck tire explosion and presented with hypotension and positive focused assessment with sonography in trauma scan. After resuscitation, abdomen computed tomography (CT) scan showed a Grade 4 liver injury.

Learning the Exchange-Correlation Functional from Nature with Fully Differentiable Density Functional Theory.

Improving the predictive capability of molecular properties in ab initio simulations is essential for advanced material discovery. Despite recent progress making use of machine learning, utilizing deep neural networks to improve quantum chemistry modeling remains severely limited by the scarcity and heterogeneity of appropriate experimental data. Here we show how training a neural network to replace the exchange-correlation functional within a fully differentiable three-dimensional Kohn-Sham density functional theory framework can greatly improve simulation accuracy.

Real-Time Single-Cell Monitoring of Drug Effects Using Droplet-Based Microfluidic Technology: A Proof-of-Concept Study.

Drugs that act on ribosome biogenesis and cell proliferation play important roles in treatment of human diseases. Moreover, measurement of drug effects at a single-cell level would create vast opportunities for pharmaceutical innovation. We present in this study an original proof-of-concept study of single-cell measurement of drug effects with a focus on inhibition of ribosome biogenesis and cell proliferation, and using yeast () as a model eukaryotic organism.