Publications by authors named "Baby A"

Objectives: To study the correlation between sarcopenia and hypertrophy of the future liver remnant(FLR) in patients undergoing portal vein embolization(PVE) before liver resection, and to assess the outcomes after resection.

Methods: This retrospective study examined patients underwent PVE from May 2012 to May 2023. Demographic, clinical and laboratory features were documented and total liver volumes(TLV) and FLR volumes were measured before and 2-4 weeks after PVE.

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Background And Aims: El-Ganzouri risk index (EGRI) scoring is a predictive tool for difficult video laryngoscope (VL) guided tracheal intubation, and its use has been studied for various VLs. This study evaluates the predictive value of EGRI scoring for difficult laryngoscopy and tracheal intubation with King Vision VL.

Methods: Airway assessment was performed preinduction using the EGRI score.

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The heightened susceptibility to skin cancer correlates with exposure to ultraviolet (UV) radiation, which can induce various cutaneous injuries. Inorganic UV filters, like zinc oxide (ZnO), are extensively utilized in sunscreens owing to their capacity to scatter and reflect UV radiation. The efficacy of inorganic UV filters can be augmented across a wider spectrum through synergistic combinations with other active compounds, such as organic UV filters.

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, encoding cardiac myosin binding protein-C (cMyBP-C), is the most mutated gene known to cause hypertrophic cardiomyopathy (HCM). However, since little is known about the underlying etiology, additional in vitro studies are crucial to defining the underlying molecular mechanisms. Accordingly, this study aimed to investigate the molecular mechanisms underlying the pathogenesis of HCM associated with a polymorphic variant (D389V) in by using isogenic human-induced pluripotent stem cell (hiPSC)-derived cardiac organoids (hCOs).

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Objectives: to study risk factors for mortality in SAM children within the first 72 hours of hospitalization.

Methods: We conducted a retrospective study on data from 0-59-month-old SAM children hospitalized from June 1th, 2016, to May 31th, 2019, at CHUSourô Sanou of Bobo-Dioulasso. A logistic regression was performed to determine risk factors for death.

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Article Synopsis
  • Microalgal biotechnology is gaining popularity for sustainably producing bioactive compounds, making it appealing for cosmetics and cosmeceuticals.
  • Many microalgae strains remain unstudied for their potential pharmaceutical and nutritional uses, with few cultivated on a large scale.
  • The research focuses on exploring different microalgal strains for their use in sunscreens and related products, aiming for a greener and more sustainable approach in the cosmetics industry.
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Weakly interacting systems such as organic molecules on monolayers of hexagonal boron nitride (h-BN) offer the possibility of single integer charge transfer leading to the formation of organic ions. Such open-shell systems exhibit unique optical and electronic properties which differ from their neutral counterparts. In this study, we used a joint experimental and theoretical approach to investigate the charge transfer of perylene-3,4,9,10-tetracarboxylic dianhydride (PTCDA) molecules on h-BN/Ni(111) by using differential reflectance spectroscopy (DRS), scanning tunneling spectroscopy (STS), and photoelectron orbital tomography (POT) measurements in combination with density functional theory (DFT) calculations.

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Type 2 diabetes mellitus (T2DM) is a metabolic disease and comorbidity associated with several conditions, including cardiac dysfunction leading to heart failure with preserved ejection fraction (HFpEF), in turn resulting in T2DM-induced cardiomyopathy (T2DM-CM). However, the molecular mechanisms underlying the development of T2DM-CM are poorly understood. It is hypothesized that molecular alterations in myopathic genes induced by diabetes promote the development of HFpEF, whereas cardiac myosin inhibitors can rescue the resultant T2DM-mediated cardiomyopathy.

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Background: , encoding cardiac myosin binding protein-C (cMyBP-C), is the most mutated gene known to cause hypertrophic cardiomyopathy (HCM). However, since little is known about the underlying etiology, additional studies are crucial to defining the underlying molecular mechanisms. Accordingly, this study aimed to investigate the molecular mechanisms underlying the pathogenesis of HCM associated with a polymorphic variant (D389V) in by using human-induced pluripotent stem cell (hiPSC)-derived cardiac organoids (hCOs).

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The integumentary system, a vital organ, constitutes a multifaceted barrier against pathogens and environmental factors, crucial for maintaining homeostasis. Intrinsic and extrinsic factors can accelerate skin aging and compromise its homeostatic functions and solar rays, particularly ultraviolet (UV) radiation, pose a significant risk for skin cancer. Polyphenols are molecules that donate hydrogen or electrons, preventing the oxidation of substances, such as lipids, or the formation of inflammatory mediators by cyclooxygenase enzymes.

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The ubiquity of graphitic materials in electrochemistry makes it highly desirable to probe their interfacial behavior under electrochemical control. Probing the dynamics of molecules at the electrode/electrolyte interface is possible through spectroelectrochemical approaches involving surface-enhanced infrared absorption spectroscopy (SEIRAS). Usually, this technique can only be done on plasmonic metals such as gold or carbon nanoribbons, but a more convenient substrate for carbon electrochemical studies is needed.

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Skin is the ultimate barrier between body and environment and prevents water loss and penetration of pathogens and toxins. Internal and external stressors, such as ultraviolet radiation (UVR), can damage skin integrity and lead to disorders. Therefore, skin health and skin ageing are important concerns and increased research from cosmetic and pharmaceutical sectors aims to improve skin conditions and provide new anti-ageing treatments.

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Background: Childhood mortality rates remain high in sub-Saharan Africa. This study aimed to assess the causes and associated factors of pediatric emergency mortality at the Sourô Sanou University Hospital of Bobo-Dioulasso.

Methodology: This was a cross-sectional study with prospective collection from June to August 2020.

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Skeletal muscle is the largest organ in the body, responsible for gross movement and metabolic regulation. Recently, variants in the gene have been implicated in a variety of developmental muscle diseases, such as distal arthrogryposis. How variants cause disease is not well understood.

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Aim: The aim of this paper is to present the evidence on the effectiveness of non-surgical interventions to improve health and well-being in women living with Mayer-Rokitansky-Kuster-Hauser (MRKH) syndrome.

Design: Systematic review guided by Preferred Reporting Items for Systematic Reviews checklist.

Data Sources: The search was conducted between June and September 2022 across the following databases: CINAHL, EMBASE, Medline, PsycINFO and Cochrane.

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Prospects for refurbishing and recycling energy storage technologies such as lead acid batteries (LABs) prompt a better understanding of their failure mechanisms. LABs suffer from a high self-discharge rate accompanied by deleterious hard sulfation processes which dramatically decrease cyclability. Furthermore, the evolution of H, CO, and CO also poses safety risks.

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Immunoglobulin G4-related disease (IgG4-RD) coexisting with clinically apparent autoimmune diseases, such as rheumatoid arthritis (RA) or antiphospholipid syndrome (APS), is a rarely documented combination in the scientific literature. In this case-based review, we present 2 intriguing cases with preexisting autoimmune diseases, namely, RA and primary APS, who exhibited coexistent IgG4- related lesions at unusual sites. The first case pertains to a patient with known RA who presented with an encasing mass in the esophagus leading to stricture, with histopathological diagnosis of IgG4-RD.

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Nanomaterials feature exceptional, one-of-a-kind qualities that might be used in electronics, medicine, and other industries. Two-dimensional nanomaterials called borophene have a variety of intriguing characteristics, which helped them to leave an indelible impression in the fields of chemistry, material science, nanotechnology, and condensed matter physics. The concept of modelling the structure of a molecule or chemical network to a chemical graph and then quantitatively analysing them with the aid of topological descriptors was a major advance in the fields of mathematics and chemistry, with a wide range of applications.

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Objective: Nowadays, it is recognized the need for improved safety and efficacy protocols to evaluate the human stratum corneum (SC) and its interaction with topical and cosmetic formulations by minimally or non-invasive methodologies. The aim of our research work was to streamline the HPLC-TBARS-EVSC (high-performance liquid chromatography-thiobarbituric acid reactive substances-ex vivo stratum corneum) methodology, by exploring the results of a group of 18 subjects.

Methods: The study included nine women and nine men aged between 19 and 57 years old with phototypes from II to V.

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Leptospirosis is a widespread zoonotic disease caused by pathogenic Leptospira. Early and accurate diagnosis is the prime step in managing the disease. Secretory proteins of Leptospira remain distinguished for diagnosis due to their availability as soluble proteins in the serum and their interaction with the host immune response due to their extracellular presence.

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Article Synopsis
  • The study aimed to enhance deep learning techniques for detecting isodense or obscure masses in dense breast tissue by incorporating core radiology principles into model development.
  • Using a multi-centre approach, the researchers trained and validated the deep learning model on both diagnostic and screening mammography datasets, which included thousands of images and confirmed cases of cancer.
  • Results showed improved sensitivity in detecting malignancies, especially in patients with dense breasts and isodense cancers, suggesting that integrating traditional radiology knowledge into deep learning can significantly boost cancer detection performance.
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