Strecker Degradation of a-Amino Acids with B-Phenyl- a, B -dioxopropionanilide

A century ago Strecker observed that alloxan reacts with alanin e to give carbon dioxide and acetaldehyde. 1 A number of c arbonyl compounds have since been found which degrade o:-amino acids to the corresponding aldehyde or ketone with one less carbon atom. A reaction has been carried out by treating the amino acid with the carbonyl compound in aqu eous solu t ion or in suspension

Is detecting oral cancer in general dental practices a realistic expectation? A population-based study using population linked data in Scotland

Introduction: Despite the increasing burden of oral cancer (OC) – including oral cavity (OCC) and oropharyngeal cancer (OPC) – it remains a relatively low-volume disease in Scotland, with anecdotal evidence suggesting that dentists only see between one and two cases in their practising careers. Aims: To examine, for the first time on a population-basis via data linkage, whether early detection by general dental practices (GDP) is a realistic expectation by i) estimating the number of OC cases/year a dentist in Scotland may encounter over time, accounting for the deprivation level of practice location and dental registration/attendance rates, and ii) assessing whether patients attended GDPs two years pre-diagnosis. Materials and methods: Scottish Cancer Registry data on all OC cases (2010-2012), published NHS Scotland dental workforce and registration/participation statistics, and individual patient data linked with NHS dental service activity were analysed. Results: Dentists were estimated to potentially encounter one case of OC every 10 years, OCC every 16.7 years, and OPC every 25 years. However, 53.7% of OC patients had made no dental contact two years pre-diagnosis. Conclusion: Strategies for early detection must consider the rarity of OC incidence and poor dental attendance patterns. These results highlight the importance of improving access and uptake of dental services among those at highest risk to increase the opportunities for early detection

WHICH DNA DAMAGE IS LIKELY TO BE RELEVANT IN HORMETIC RESPONSES?

Working under the assumption that hormesis is triggered by specific types of DNA damage, this report focuses on the types of damage which form the signature of ionizing radiation. The key attribute of the signature is the clustering of damage, arising from clusters of energy deposition such that more than one site within a 10 base pair segment of DNA has been chemically altered. A brief overview is given on what is currently believed to be the primary components of clustered damage produced by the direct effect. The overview draws primarily on studies that utilize electron paramagnetic resonance to measure free radical intermediates and gel electrophoresis to measure clustered damage in plasmid DNA. Based on this information, the threshold for a radiation induced biological response is calculated

Taste changes after bariatric surgery: a systematic review

BACKGROUND: Alterations in taste perception and preferences may contribute to dietary changes and subsequent weight loss following bariatric surgery. METHODS: A systematic search was performed to identify all articles investigating gustation, olfaction, and sensory perception in both animal and human studies following bariatric procedures. RESULTS: Two hundred fifty-five articles were identified after database searches, bibliography inclusions and deduplication. Sixty-one articles were included. These articles provide evidence supporting changes in taste perception and hedonic taste following bariatric procedures. Taste sensitivity to sweet and fatty stimuli appears to increase post-operatively. Additionally, patients also have a reduced hedonic response to these stimuli. CONCLUSIONS: Available evidence suggests that there is a change in taste perception following bariatric procedures, which may contribute to long-term maintenance of weight loss following surgery

Interventions for sustainable surgery: a systematic review

Objective: To systematically evaluate interventions designed to improve the sustainability of surgical practice with respect to their environmental and financial impact. Background: Surgery contributes significantly to emissions attributed to healthcare due to its high resource and energy use. Several interventions across the operative pathway have, therefore, been trialed to minimize this impact. Few comparisons of the environmental and financial effects of these interventions exist. Materials and Methods: A search of studies published up to 2nd February 2022 describing interventions to increase surgical sustainability was undertaken. Articles regarding the environmental impact of only anesthetic agents were excluded. Data regarding environmental and financial outcomes were extracted with a quality assessment completed dependent upon study design. Results: 1162 articles were retrieved, of which 21 studies met inclusion criteria. 25 interventions were described, which were categorized into 5 domains: ‘reduce and rationalize’, ‘reusable equipment and textiles’, ‘recycling and waste segregation’, ‘anesthetic alternatives’ and ‘other’. 11/21 studies examined reusable devices; those demonstrating a benefit, reported 40-66% lower emissions than with single-use alternatives. In studies not showing a lower carbon footprint, reduction in manufacturing emissions were offset by the high environmental impact of local fossil-fuel based energy required for sterilization. The per use monetary cost of reusable equipment was 47-83% of the single-use equivalent. Conclusions: A narrow repertoire of interventions to improve the environmental sustainability of surgery has been trialed. The majority focus upon reusable equipment. Emissions and cost data is limited, with longitudinal impacts rarely investigated. Real-world appraisals will facilitate implementation, as will an understanding of how sustainability impacts surgical decision-making

Laparoscopic Approach to Incarcerated and Strangulated Inguinal Hernias

Introduction: Acute inguinal hernias are a common presentation as surgical emergencies, which have been routinely managed with open surgery. In recent years, the laparoscopic approach has been described by several authors but has been controversial amongst surgeons. We describe the laparoscopic approach to incarcerated/strangulated inguinal hernias based on a review of the literature with regards to its feasibility in laparoscopically managing the acute hernia presentation. Methods: A systematic literature search was carried out including Medline with PubMed as the search engine, and Ovid, Embase, Cochrane Collaboration, and Google Scholar databases to identify articles reporting on laparoscopic treatment, reduction, and repair of incarcerated or strangulated inguinal hernias from 1989 to 2008. Results: Forty-three articles were found, and 7 were included according to the inclusion criteria set. Articles reporting on the use of laparoscopy for the evaluation of the hernia but not reducing and repairing it, the use of the open technique, elective hernia repairs, pediatric series, review articles, and other kinds of hernias were excluded after title and abstract review. This resulted in 16 articles that were reviewed in full. Of these 16 articles, 7 reported on the use of the laparoscopic approach exclusively. From these 7 studies, there were 328 cases reported, 6 conversions, average operating time of 61.3 minutes (SD 12.3), average hospital stay of 3.8 days (SD 1.2), 34 complications (25 of which were reported as minor), and 17 bowel resections performed either laparoscopically or through a minilaparotomy incision guided laparoscopically. Conclusion: The laparoscopic repair is a feasible procedure with acceptable results; however, its efficacy need

Data on a Laves phase intermetallic matrix composite in situ toughened by ductile precipitates

The data presented in this article are related to the research article entitled “Laves phase intermetallic matrix composite in situ toughened by ductile precipitates” (Knowles et al.) [1]. The composite comprised a Fe2(Mo, Ti) matrix with bcc (Mo, Ti) precipitated laths produced in situ by an aging heat treatment, which was shown to confer a toughening effect (Knowles et al.) [1]. Here, details are given on a focused ion beam (FIB) slice and view experiment performed on the composite so as to determine that the 3D morphology of the bcc (Mo, Ti) precipitates were laths rather than needles. Scanning transmission electron microscopy (S(TEM)) micrographs of the microstructure as well as energy dispersive X-ray spectroscopy (EDX) maps are presented that identify the elemental partitioning between the C14 Laves matrix and the bcc laths, with Mo rejected from the matrix into laths. A TEM selected area diffraction pattern (SADP) and key is provided that was used to validate the orientation relation between the matrix and laths identified in (Knowles et al.) [1] along with details of the transformation matrix determined

Multi-label natural language processing to identify diagnosis and procedure codes from MIMIC-III inpatient notes

In the United States, 25% or greater than 200 billion dollars of hospital spending accounts for administrative costs that involve services for medical coding and billing. With the increasing number of patient records, manual assignment of the codes performed is overwhelming, time-consuming and error-prone, causing billing errors. Natural language processing can automate the extraction of codes/labels from unstructured clinical notes, which can aid human coders to save time, increase productivity, and verify medical coding errors. Our objective is to identify appropriate diagnosis and procedure codes from clinical notes by performing multi-label classification. We used de-identified data of critical care patients from the MIMIC-III database and subset the data to select the ten (top-10) and fifty (top-50) most common diagnoses and procedures, which covers 47.45% and 74.12% of all admissions respectively. We implemented state-of-the-art Bidirectional Encoder Representations from Transformers (BERT) to fine-tune the language model on 80% of the data and validated on the remaining 20%. The model achieved an overall accuracy of 87.08%, an F1 score of 85.82%, and an AUC of 91.76% for top-10 codes. For the top-50 codes, our model achieved an overall accuracy of 93.76%, an F1 score of 92.24%, and AUC of 91%. When compared to previously published research, our model outperforms in predicting codes from the clinical text. We discuss approaches to generalize the knowledge discovery process of our MIMIC-BERT to other clinical notes. This can help human coders to save time, prevent backlogs, and additional costs due to coding errors.Comment: This is a shortened version of the Capstone Project that was accepted by the Faculty of Indiana University, in partial fulfillment of the requirements for the degree of Master of Science in Health Informatic

A Survey of Graph-based Deep Learning for Anomaly Detection in Distributed Systems

Anomaly detection is a crucial task in complex distributed systems. A thorough understanding of the requirements and challenges of anomaly detection is pivotal to the security of such systems, especially for real-world deployment. While there are many works and application domains that deal with this problem, few have attempted to provide an in-depth look at such systems. In this survey, we explore the potentials of graph-based algorithms to identify anomalies in distributed systems. These systems can be heterogeneous or homogeneous, which can result in distinct requirements. One of our objectives is to provide an in-depth look at graph-based approaches to conceptually analyze their capability to handle real-world challenges such as heterogeneity and dynamic structure. This study gives an overview of the State-of-the-Art (SotA) research articles in the field and compare and contrast their characteristics. To facilitate a more comprehensive understanding, we present three systems with varying abstractions as use cases. We examine the specific challenges involved in anomaly detection within such systems. Subsequently, we elucidate the efficacy of graphs in such systems and explicate their advantages. We then delve into the SotA methods and highlight their strength and weaknesses, pointing out the areas for possible improvements and future works.Comment: The first two authors (A. Danesh Pazho and G. Alinezhad Noghre) have equal contribution. The article is accepted by IEEE Transactions on Knowledge and Data Engineerin