Saraca asoca: A scoping review on the phytoconstituents, bioactives and their therapeutic effects

Saraca asoca or S. asoca, belonging to the family Caesalpinaceae, is popularly known as Ashoka and is a valuable indigenous plant of traditional and pharmacological significance. With a growing number of people seeking treatments and health practices devoid of synthetic medicines' adverse effects, medicinal herbs are becoming more mainstream. Ashoka has traditionally been employed to treat dysentery, colic, piles, biliousness, dyspepsia, and ulcers and is also known to display CNS depressant activity and regulate irregular menstrual cycles. The qualitative phytoconstituents of Ashoka's leaves, flowers, fruits, and bark, such as glycosides, flavonoids, tannins, and saponins, carry vast potential in therapeutic and diagnostic techniques. Formulations containing these components can efficiently exert anti-microbial, anti-inflammatory, anti-menorrhagia, anti-diabetic, anthelmintic, and analgesic activity. This review focuses on research associated with the medicinal qualities, phytochemistry, and pharmacological profile of Saraca asoca (Roxb.), De. wild

Anesthetic management of mini sternotomy and excision of mediastinal neurogenic tumor: Brain–Heart crosstalk

Brachial plexus tumors are rare and pose challenges for neurosurgeons due to their anatomical complexity. Retrosternal extension of a tumor makes it more difficult for the surgeons as well as for the anesthesiologists to secure a definitive airway. A cardiopulmonary bypass would be lifesaving in the event of acute cardiorespiratory decompensation. Multidisciplinary collaboration and cooperation between the neurosurgeon, oncosurgeon, cardiothoracic surgeon, and anesthesiologist are imperative to ensure good patient outcomes. Meticulous preoperative evaluation and operative planning are essentially the key factors in anesthetic management. Here we report a successful management of a 49-year-old male patient presented with a large painless mass arising from his right supraclavicular region and compressing the roots of the brachial plexus, trachea, and esophagus and extending up to the apex of the lungs, posted for mini sternotomy and excision of the mass

Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions

Abstract Human behaviour reflects cognitive abilities. Human cognition is fundamentally linked to the different experiences or characteristics of consciousness/emotions, such as joy, grief, anger, etc., which assists in effective communication with others. Detection and differentiation between thoughts, feelings, and behaviours are paramount in learning to control our emotions and respond more effectively in stressful circumstances. The ability to perceive, analyse, process, interpret, remember, and retrieve information while making judgments to respond correctly is referred to as Cognitive Behavior. After making a significant mark in emotion analysis, deception detection is one of the key areas to connect human behaviour, mainly in the forensic domain. Detection of lies, deception, malicious intent, abnormal behaviour, emotions, stress, etc., have significant roles in advanced stages of behavioral science. Artificial Intelligence and Machine learning (AI/ML) has helped a great deal in pattern recognition, data extraction and analysis, and interpretations. The goal of using AI and ML in behavioral sciences is to infer human behaviour, mainly for mental health or forensic investigations. The presented work provides an extensive review of the research on cognitive behaviour analysis. A parametric study is presented based on different physical characteristics, emotional behaviours, data collection sensing mechanisms, unimodal and multimodal datasets, modelling AI/ML methods, challenges, and future research directions

Using Wastewater Surveillance to Monitor Gastrointestinal Pathogen Infections in the State of Oklahoma

During the COVID-19 pandemic, wastewater surveillance was widely used to monitor temporal and geographical infection trends. Using this as a foundation, a statewide program for routine wastewater monitoring of gastrointestinal pathogens was established in Oklahoma. The results from 18 months of surveillance showed that wastewater concentrations of Salmonella, Campylobacter, and norovirus exhibit similar seasonal patterns to those observed in reported human cases (F = 4–29, p Salmonella or Campylobacter and our results further indicated that several outbreaks are likely to go undetected through the traditional surveillance approach currently in place. Better understanding of the true distribution and burden of gastrointestinal infections ultimately facilitates better disease prevention and control and reduces the overall socioeconomic and healthcare related impact of these pathogens. In this respect, wastewater represents a unique opportunity for monitoring infections in real-time, without the need for individual human testing. With increasing demands for sustainable and low-cost disease surveillance, the usefulness of wastewater as a long-term method for tracking infectious disease transmission is likely to become even more pronounced

Discovery of Potential Diagnostic and Vaccine Antigens in Herpes Simplex Virus 1 and 2 by Proteome-Wide Antibody Profiling

Routine serodiagnosis of herpes simplex virus (HSV) infections is currently performed using recombinant glycoprotein G (gG) antigens from herpes simplex virus 1 (HSV-1) and HSV-2. This is a single-antigen test and has only one diagnostic application. Relatively little is known about HSV antigenicity at the proteome-wide level, and the full potential of mining the antibody repertoire to identify antigens with other useful diagnostic properties and candidate vaccine antigens is yet to be realized. To this end we produced HSV-1 and -2 proteome microarrays in Escherichia coli and probed them against a panel of sera from patients serotyped using commercial gG-1 and gG-2 (gGs for HSV-1 and -2, respectively) enzyme-linked immunosorbent assays. We identified many reactive antigens in both HSV-1 and -2, some of which were type specific (i.e., recognized by HSV-1- or HSV-2-positive donors only) and others of which were nonspecific or cross-reactive (i.e., recognized by both HSV-1- and HSV-2-positive donors). Both membrane and nonmembrane virion proteins were antigenic, although type-specific antigens were enriched for membrane proteins, despite being expressed in E. coli

Abstracts of Scientifica 2022

This book contains the abstracts of the papers presented at Scientifica 2022, Organized by the Sancheti Institute College of Physiotherapy, Pune, Maharashtra, India, held on 12–13 March 2022. This conference helps bring researchers together across the globe on one platform to help benefit the young researchers. There were six invited talks from different fields of Physiotherapy and seven panel discussions including over thirty speakers across the globe which made the conference interesting due to the diversity of topics covered during the conference. Conference Title:  Scientifica 2022Conference Date: 12–13 March 2022Conference Location: Sancheti Institute College of PhysiotherapyConference Organizer: Sancheti Institute College of Physiotherapy, Pune, Maharashtra, Indi