Knowledge and Attitude of Parents of Preterm Babies and Health-Care Providers Related to Human Milk Banking in a Tertiary-Care Hospital.

The aim of the study was to assess the knowledge and attitude of parents of preterm babies and health-care providers related to human milk and human milk banking in a tertiary-care hospital in North India. A descriptive study was conducted on 280 samples (200 parents and 80 health-care providers) of neonatal units of a tertiary-care hospital in North India. Self-developed 25-item knowledge-related questionnaire and 15-item attitude scale was used for health-care providers.

Cybersecurity threats and preparedness: Implications for dental schools.

Background: Cybersecurity threats are a growing concern in healthcare, where digital systems now underpin patient care, financial management, and educational operations. A cybersecurity breach in a Dental school environment can have widespread consequences to the mission of the school-patient care, research, education and service. For dental school administrators, these risks highlight the necessity of robust cybersecurity measures.

A combination of calcium hydroxide and sodium hydrosulphate controls pathogens causing environmental mastitis in recycled manure solids.

Recycled manure solids (RMS) are dried cow dung processed using a manure dewatering machine and subsequently sun-dried to ~ 20% moisture. Benefits of RMS include abundant availability, low cost, and eco-friendliness, but its use as bedding material for cows is hindered by a moisture content that promotes microbial growth. This in vitro study evaluated impacts of calcium hydroxide (CH; 5 and 7.

Neuroprotective Effects of Metformin and Berberine in Lipopolysaccharide-Induced Sickness-Like Behaviour in Mice.

Sickness behaviour, a set of behavioural changes associated with neuroinflammation, is expressed as decreased mobility and depressed behaviour. Activation of AMP-activated protein kinase (AMPK) is reported to regulate inflammation in conditions such as Alzheimer and traumatic brain injury. Metformin, an antidiabetic agent acting via AMPK activation, possesses anti-inflammatory properties.

Empathy development through game-based learning: An investigative study on nursing professionals.

Background: Empathy is at the core of patient-centred care. Evidence has continually found that empathy helps foster therapeutic relationships and is essential in the delivery of quality healthcare. In India, many factors are barriers to empathy for nursing professionals.

Enhancing hoof health and locomotion in crossbred dairy cows: impact of recycled manure solids bedding on lameness incidence and gait kinematics.

Recycled manure solids has emerged as a promising alternative for animal bedding, owing to its economic feasibility, ready availability on farms, and soft, non-abrasive nature. This research aimed to assess the impact of recycled manure solids (RMS) bedding, combined with a conditioner containing 7.5% lime and 6% sodium hydrosulphate, on dairy cow welfare and gait kinematics over three months.

Enhanced feature selection and ensemble learning for cardiovascular disease prediction: hybrid GOL2-2 T and adaptive boosted decision fusion with babysitting refinement.

Introduction: Global Cardiovascular disease (CVD) is still one of the leading causes of death and requires the enhancement of diagnostic methods for the effective detection of early signs and prediction of the disease outcomes. The current diagnostic tools are cumbersome and imprecise especially with complex diseases, thus emphasizing the incorporation of new machine learning applications in differential diagnosis.

Methods: This paper presents a new machine learning approach that uses MICE for mitigating missing data, the IQR for handling outliers and SMOTE to address first imbalance distance.

Sulfate transport and metabolism: strategies to improve the seed protein quality.

Sulfur-containing amino acids (SAA), namely methionine, and cysteine are crucial essential amino acids (EAA) considering the dietary requirements of humans and animals. However, a few crop plants, especially legumes, are characterized with suboptimal levels of these EAA thereby limiting their nutritive value. Hence, improved comprehension of the mechanistic perspective of sulfur transport and assimilation into storage reserve, seed storage protein (SSP), is imperative.

An Interpretable Approach with Explainable AI for Heart Stroke Prediction.

Heart strokes are a significant global health concern, profoundly affecting the wellbeing of the population. Many research endeavors have focused on developing predictive models for heart strokes using ML and DL techniques. Nevertheless, prior studies have often failed to bridge the gap between complex ML models and their interpretability in clinical contexts, leaving healthcare professionals hesitant to embrace them for critical decision-making.

Optical coherence tomography in papilledema: A probe into the intracranial pressure correlation.

Purpose: To study the optic nerve head characteristics on optical coherence tomography (OCT) in patients with papilledema and correlate them with intracranial pressure (ICP).

Methods: A retrospective hospital-based study of 46 eyes of 23 patients with bilateral optic disc edema secondary to increased ICP. The clinical profile and the OCT features in terms of retinal nerve fiber layer thickness (RNFL), ganglion cell inner plexiform layer (GCIPL) thickness, and enhanced depth imaging (EDI) B scan images of the optic nerve head were studied and correlated with the ICP.

Factors associated with immediate postoperative pulmonary complications after Appendectomies under general anesthesia: A retrospective analysis.

Background: Postoperative pulmonary complications (PPC) include any complication that affects the respiratory system after anesthesia and surgery and are a significant cause of postoperative mortality and morbidity.

Objectives: To describe the risk factors for immediate postoperative pulmonary complications after appendectomy under general anesthesia and to determine if rapid sequence induction decreases the risk.

Design And Setting: A retrospective analysis of perioperative medical records of patients who underwent appendectomy under general anesthesia over a year, from January 1st, 2014, to December 31st, 2014, at Hamad General Hospital, Doha, Qatar, was done.

Evaluation of antimicrobial efficacy of immunoglobulin Y (IgY) against periodontal biofilm.

Background And Objectives: To determine the action of immunoglobulin Y (IgY) on supragingival microbiota and on subgingival microbiota in patients with gingivitis and periodontitis through microbial reduction assay.

Methodology: 40 systemically healthy patients were divided into two groups (gingivitis and periodontitis) with 20 patients per group. Supragingival and subgingival plaque samples were collected from each patient in Group I and Group II, respectively.

Physiologically based pharmacokinetic modelling to predict drug-drug interactions for encorafenib. Part I. Model building, validation, and prospective predictions with enzyme inhibitors, inducers, and transporter inhibitors.

Encorafenib, a potent BRAF kinase inhibitor undergoes significant metabolism by CYP3A4 (83%) and CYP2C19 (16%) and also a substrate of P-glycoprotein (P-gp). Because of this, encorafenib possesses potential for enzyme-transporter related interactions. Clinically, its drug-drug interactions (DDIs) with CYP3A4 inhibitors (posaconazole, diltiazem) were reported and hence there is a necessity to study DDIs with multiple enzyme inhibitors, inducers, and P-gp inhibitors.

Physiologically based pharmacokinetic modeling (PBPK) to predict drug-drug interactions for encorafenib. Part II. Prospective predictions in hepatic and renal impaired populations with clinical inhibitors and inducers.

Encorafenib, a potent BRAF kinase inhibitor gets significantly metabolised by CYP3A4 (83%) and CYP2C19 (16%) and is a substrate for P-glycoprotein (P-gp). Due to significant metabolism by CYP3A4, encorafenib exposure can increase in hepatic and renal impairment and may lead to altered magnitude of drug-drug interactions (DDI). Hence, it is necessary to assess the exposures & DDI's in impaired population.

Can ChatGPT be Trusted for Consulting? Uncovering Doctor's Perceptions Using Deep Learning Techniques.

Since the introduction of ChatGPT by OpenAI in late 2022, the question of whether doctors can employ it for consultation has been a subject of debate. ChatGPT is a deep learning model trained on a vast dataset, but concerns about the reliability of its output have been a subject of debate in recent times. In this article, we have employed cutting-edge bidirectional encoder representations from transformers (BERT) sentiment analysis and topic modeling techniques to comprehend doctors' attitudes toward using ChatGPT in consultation.

Understanding the Perceptions of Healthcare Researchers Regarding ChatGPT: A Study Based on Bidirectional Encoder Representation from Transformers (BERT) Sentiment Analysis and Topic Modeling.

In this study, we have used deep learning techniques to understand the perception of researchers in the healthcare sector about the recently introduced chat generative pre-trained transformer (ChatGPT). Ever since the launch of ChatGPT, there have been various debates over the usage of ChatGPT for research purposes. In this article, using the pre-trained BERT (Bidirectional Encoder Representations from Transformers) model, we performed sentiment analysis and topic modeling to analyze the social media posts of healthcare researchers to understand their emotions towards ChatGPT.

Thyroid Autoimmunity in Vitiligo: A Case-Control Study.

Introduction There is scanty evidence regarding the role of autoimmunity in vitiligo, especially in the Asian population. Moreover, the existing studies reported conflicting results. This prompted the investigators to identify the association of thyroid autoimmunity with vitiligo by employing a case-control design in this setting.