Addictions

Cytokine Changes following Acute Ethanol Intoxication in Healthy Men: A Crossover Study.

Alcohol is a known modulator of the innate immune system. Owing to the absence of human studies, alcohol's effect on circulating cytokine profile remains unclear. We investigated the effect of acute high dose alcohol consumption on systemic cytokine release. After an overnight fasting, alcohol-experienced healthy male volunteers ( = 20) aged 25-45 years were given oral ethanol in the form of vodka...

Air assisted emulsification liquid-liquid microextraction based on deep eutectic solvent for preconcentration of methadone in water and biological samples.

Nowadays, a deep eutectic solvent (DES) has recently been considered as a green ion liquid analogue. In this study, a new compound of DES has been synthesized as an extraction solvent in air assistedemulsification liquid-liquid microextraction method (DES-AAELLME) for preconcentration and extraction of methadone followed by gas chromatographyflame ionization detector (GC-FID). To obtain an efficie...

Fatty acid composition and mechanisms of the protective effects of myrtle berry seed aqueous extract in alcohol-induced peptic ulcer in rat.

This study aimed to investigate the antiulcer and antioxidant activities of myrtle berry seed aqueous extract (MBSAE) in a peptic ulcer model induced ...

An EEG-based machine learning method to screen alcohol use disorder.

Screening alcohol use disorder (AUD) patients has been challenging due to the subjectivity involved in the process. Hence, robust and objective method...

A study on the safety evaluation of buphrenorphine administered through an autoinjector compared with manual injection using haematological and biochemical variables in rats.

Buprenorphine drug cartridge was made for autoinjector device for use in emergency and critical situations to reduce the morbidity and mortality. Wate...

Successful classification of cocaine dependence using brain imaging: a generalizable machine learning approach.

BACKGROUND: Neuroimaging studies have yielded significant advances in the understanding of neural processes relevant to the development and persistenc...

Exploring trends of nonmedical use of prescription drugs and polydrug abuse in the Twittersphere using unsupervised machine learning.

INTRODUCTION: Nonmedical use of prescription medications/drugs (NMUPD) is a serious public health threat, particularly in relation to the prescription...

Problematic internet use (PIU): Associations with the impulsive-compulsive spectrum. An application of machine learning in psychiatry.

Problematic internet use is common, functionally impairing, and in need of further study. Its relationship with obsessive-compulsive and impulsive dis...

A prediction model of blood pressure for telemedicine.

This paper presents a new study based on a machine learning technique, specifically an artificial neural network, for predicting systolic blood pressu...

Cardiovascular Risk Factors in 7-13 Years Old Children from Vojvodina (Serbia).

BACKGROUND: Atherosclerosis is a chronic inflammatory disease which starts early in life and depends on many factors, an important one being dyslipopr...

Overweight postmenopausal women with different plasma estradiol concentrations present with a similar pattern of energy expenditure and substrate oxidation rate before and after a fatty meal challenge.

Menopause-related withdrawal of ovarian estrogens is associated with reduced energy metabolism and overall impairment of substrate oxidation. Estradio...

Depolymerizable Poly(O-vinyl carbamate--sulfones) as Customizable Macromolecular Scaffolds for Mucosal Drug Delivery.

Interest in stimulus responsive materials and polymers has grown over the years, having shown great promise in a diverse set of applications. For drug...

Investigating driver injury severity patterns in rollover crashes using support vector machine models.

Rollover crash is one of the major types of traffic crashes that induce fatal injuries. It is important to investigate the factors that affect rollove...

Machine-learning identifies substance-specific behavioral markers for opiate and stimulant dependence.

BACKGROUND: Recent animal and human studies reveal distinct cognitive and neurobiological differences between opiate and stimulant addictions; however...

Canonical variate regression.

In many fields, multi-view datasets, measuring multiple distinct but interrelated sets of characteristics on the same set of subjects, together with d...

Outcome of Inhaler Withdrawal in Patients Receiving Triple Therapy for COPD.

BACKGROUND: The purpose of this study was to document outcomes following withdrawal of a single inhaler (step-down) in chronic obstructive pulmonary d...

Quantitation of anacetrapib, stable-isotope labeled-anacetrapib (microdose), and four metabolites in human plasma using liquid chromatography tandem mass spectrometry.

An ultra-high performance liquid chromatography/tandem mass spectrometry (UPLC-MS/MS) method for the simultaneous determination of (4S,5R)-5-[3,5-bis ...

Inhibition of bacterial surface colonization by immobilized silver nanoparticles depends critically on the planktonic bacterial concentration.

Immobilization of antimicrobial silver nanoparticles (AgNPs) on surfaces has been proposed as a method to inhibit biofouling or as a possible route by...

A Case of Post-Traumatic Pseudocyst in the Spleen Successfully Treated with Alcohol Sclerotherapy.

This report details a case of post-traumatic pseudocyst in the spleen that was successfully treated with sclerotherapy using ethanol. A sixteen-year-o...

Robot-assisted total hip arthroplasty.

Precise and accurate biomechanical reconstruction during total hip arthroplasty (THA) is essential for durable long-term survivorship. Accurate fit of...