Fears about artificial intelligence across 20 countries and six domains of application.

The frontier of artificial intelligence (AI) is constantly moving, raising fears and concerns whenever AI is deployed in a new occupation. Some of these fears are legitimate and should be addressed by AI developers-but others may result from psychological barriers, suppressing the uptake of a beneficial technology. Here, we show that country-level variations across occupations can be predicted by a psychological model at the individual level.

Evaluating the effectiveness of AI-powered UrologiQ's in accurately measuring kidney stone volume in urolithiasis patients.

Kidney stones and urolithiasis are kidney diseases that have a significant impact on health and well-being, and their incidence is increasing annually owing to factors such as age, sex, ethnicity, and geographical location. Accurate identification and volume measurement of kidney stones are critical for determining the appropriate surgical approach, as timely and precise treatment is essential to prevent complications and ensure successful outcomes. Larger stones often require more invasive procedures, and precise volume measurements are essential for effective surgical planning and patient outcomes.

Impact of heavy metals, oxidative stress, expression of VHL, and antioxidant genes in the pathogenesis of renal cell carcinoma.

Introduction: Heavy metals exposure is a known carcinogen in humans. The impact of heavy metals in the pathogenesis of renal cell carcinoma (RCC) is unclear with scant available literature. Though previous studies have evaluated the role of heavy metals in RCC, majority of those studies have evaluated either single or few heavy metals in urine.

Antidepressant prescription patterns and polypharmacy in outpatient psychiatry: a cross-sectional study.

Prescription patterns of antidepressants have changed over the years with a shift towards newer antidepressants with better tolerability and safety. Polypharmacy is common in psychiatry settings. The study aimed to evaluate the antidepressant drug prescription pattern and polypharmacy in a psychiatry outpatient setting.

Morality in the anthropocene: The perversion of compassion and punishment in the online world.

Although much of human morality evolved in an environment of small group living, almost 6 billion people use the internet in the modern era. We argue that the technological transformation has created an entirely new ecosystem that is often mismatched with our evolved adaptations for social living. We discuss how evolved responses to moral transgressions, such as compassion for victims of transgressions and punishment of transgressors, are disrupted by two main features of the online context.

Defining D-irAEs: consensus-based disease definitions for the diagnosis of dermatologic adverse events from immune checkpoint inhibitor therapy.

With an increasing number of patients eligible for immune checkpoint inhibitors, the incidence of immune-related adverse events (irAEs) is on the rise. Dermatologic immune-related adverse events (D-irAEs) are the most common and earliest to manifest, often with important downstream consequences for the patient. Current guidelines lack clarity in terms of diagnostic criteria for D-irAEs.

CovMediScanX: A medical imaging solution for COVID-19 diagnosis from chest X-ray images.

Introduction: Radiologists have extensively employed the interpretation of chest X-rays (CXR) to identify visual markers indicative of COVID-19 infection, offering an alternative approach for the screening of infected individuals. This research article presents CovMediScanX, a deep learning-based framework designed for a rapid and automated diagnosis of COVID-19 from CXR scan images.

Methods: The proposed approach encompasses gathering and preprocessing CXR image datasets, training deep learning-based custom-made Convolutional Neural Network (CNN), pre-trained and hybrid transfer learning models, identifying the highest-performing model based on key evaluation metrics, and embedding this model into a web interface called CovMediScanX, designed for radiologists to detect the COVID-19 status in new CXR images.

Endocrinopathies Associated With Immune Checkpoint Inhibitor Use.

Objective: To provide a clinical approach towards immune checkpoint inhibitor (ICI)-associated endocrinopathies, their link with cancer outcomes, factors which differentiate them from other immune related adverse events, and health systems innovation to improve care for these patients.

Methods: A literature search for articles pertaining to ICIs and endocrinopathies was performed and supplemented by expert opinions of the authors.

Results: While immune related adverse events can affect almost any organ, they frequently target the endocrine glands, most commonly thyroid.

PharmD students experiences on end year clerkship evaluation using objective structured clinical exam (OSCE) method at JSS College of Pharmacy, Mysuru, India.

Objectives: To assess the PharmD student's experiences about end year clerkship evaluation conducted using Objective Structured Clinical Exam (OSCE) format at JSS College of Pharmacy, Mysuru, India.

Methods: The student's experiences were captured using a newly developed, 14-item, 5-point Likert's scale feedback form. The results were analyzed and presented descriptively.

System circumvention: Dishonest-illegal transgressions are perceived as justified in non-meritocratic societies.

Does believing that "effort doesn't pay" in society shape how people view dishonest-illegal transgressions? Across five studies, we show that when people view societal success as non-meritocratic-that is, more dependent on luck and circumstances than on hard work-they are more lenient in their moral judgements of dishonest-illegal transgressions. Perceiving society as non-meritocratic predicted greater justifiability of dishonest-illegal transgressions in the United States (Study 2), and across 42 countries (N = 49,574; Study 1). And inducing participants to view society as non-meritocratic increased justifiability of others' dishonest-illegal transgressions, via greater feelings of sympathy (Studies 3 and 4).

Religiosity predicts prosociality, especially when measured by self-report: A meta-analysis of almost 60 years of research.

This meta-analysis explores the long-standing and heavily debated question of whether religiosity is associated with prosocial and antisocial behavior at the individual level. In an analysis of 701 effects across 237 samples, encompassing 811,663 participants, a significant relationship of = .13 was found between religiosity and prosociality (and antisociality, which was treated as its inverse).

Green honey of Banggi Island: A preliminary anti-diabetic study on zebrafish model.

Zebrafish is a developing vertebrate model with several advantages, including its small size, and high experimental efficiency. Malaysia exhibit one of the highest diabetes rates in the Western Pacific and incurring an annual cost of 600 million US dollars. The objective of the study is to determine the antidiabetic properties of green honey (GH) using a zebrafish model.

Cross-Sectional Study of Serum Metal Ions in Patients With Metal Implants in the Maxillofacial Region.

Purpose: The purpose of the present study was to measure the serum metal ion levels (titanium, cobalt, chromium) in patients who have metal implants in the maxillofacial region.

Methods: The investigators implemented a cross sectional study on patients treated with procedures requiring metal implants for management of maxillofacial trauma, fixation for orthognathic surgery, and total temporomandibular joint replacement (TJR). Inductively coupled plasma mass spectrometry was used as an analytical method to detect metal ions in serum samples.

A synthesis of evidence for policy from behavioural science during COVID-19.

Scientific evidence regularly guides policy decisions, with behavioural science increasingly part of this process. In April 2020, an influential paper proposed 19 policy recommendations ('claims') detailing how evidence from behavioural science could contribute to efforts to reduce impacts and end the COVID-19 pandemic. Here we assess 747 pandemic-related research articles that empirically investigated those claims.

Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare.

Objective: The complexity and rapid pace of development of algorithmic technologies pose challenges for their regulation and oversight in healthcare settings. We sought to improve our institution's approach to evaluation and governance of algorithmic technologies used in clinical care and operations by creating an Implementation Guide that standardizes evaluation criteria so that local oversight is performed in an objective fashion.

Materials And Methods: Building on a framework that applies key ethical and quality principles (clinical value and safety, fairness and equity, usability and adoption, transparency and accountability, and regulatory compliance), we created concrete guidelines for evaluating algorithmic technologies at our institution.

Cutaneous and Noncutaneous Adverse Effects in Patients with Advanced Melanoma Receiving Immunotherapy.

Relationships between cutaneous adverse effects (CAEs) and noncutaneous adverse effects (NCAEs) of melanoma immunotherapy may help identify patterns tied to distinct immunologic pathways. The objective of this study was to determine the associations between CAEs and NCAEs among patients with stages III-IV melanoma receiving immunotherapy and who were enrolled in a prospective cohort. Electronic medical record data were abstracted from the first immunotherapy infusion until 1 year later.

Assessment of frailty and quality of life and their correlation in the haemodialysis population at Palmerston North Hospital, New Zealand.

Aim: End-stage kidney disease (ESKD) is increasingly becoming a healthcare concern in New Zealand and haemodialysis remains the most common modality of treatment. Frailty and health-related quality of life (HRQOL) are established predictors of prognosis and have already been shown to be poor in the dialyzing population. Existing data show correlation between these measures in the ESKD population, however there is little evidence for those on haemodialysis specifically.

Signals of discipline and puritanical challenges to liberty.

We extend the target authors' moral disciplining theory (MDT) by discussing signaling, proscriptive and prescriptive morality, and the dynamics by which signaling may operate in tandem with proscriptive and prescriptive forms of moral disciplining. We also suggest that MDT can help explain challenges to economic and social progress by revealing fundamental tensions between puritanical intuitions and liberal ideals.

The Moral Psychology of Artificial Intelligence.

Moral psychology was shaped around three categories of agents and patients: humans, other animals, and supernatural beings. Rapid progress in artificial intelligence has introduced a fourth category for our moral psychology to deal with: intelligent machines. Machines can perform as moral agents, making decisions that affect the outcomes of human patients or solving moral dilemmas without human supervision.

The first ITS2 sequence data set of eDNA from honey of Malaysian giant honeybees (Apis dorsata) and stingless bees (Heterotrigona itama) reveals plant species diversity.

Objectives: Pollen is a useful tool for identifying the provenance and complex ecosystems surrounding honey production in Malaysian forests. As native key pollinators in Malaysia, Apis dorsata and Heterotrigona itama forage on various plant/pollen species to collect honey. This study aims to generate a dataset that uncovers the presence of these plant/pollen species and their relative abundance in the honey of A.

Can Superoxide Anions Predict the Malignant Potential of Carotid body Tumor? - A Pilot Study.

Unlabelled: Currently, there is no consensus on estimating the malignant potential of Carotid Body Tumor (CBT) and the only way to predict a metastatic CBT is through DOTANOC Positron Emission Tomography (PET) scan. There is a well-established correlation between CBT and superoxide anions inside tumor cells. The purpose of this pilot study was to measure superoxide anions inside CBT cells and find if these can be used as marker to predict malignant potential of CBT.