Deep Dive Research Articles

Advancing the Future of Gas Turbines: A Deep Dive into Innovative Wear-Resistant HVOF Coatings for Enhanced Component Performance

Advancing the Future of Gas Turbines: A Deep Dive into Innovative Wear-Resistant HVOF Coatings for Enhanced Component Performance

A Deep Dive into Polycystic Ovary Syndrome

Introduction: Polycystic ovary syndrome (PCOS) is a common disorder found in women of reproductive age in India. It has multigenic etiology, including genetic, lifestyle, stress, diet, exercise, and obesity. Methods: We have searched various databases such as PubMed and Google Scholar including the relevant literature on “PCOS.” Results: Some of the most common clinical features observed are oligomenorrhea/amenorrhea, hyperandrogenemia, hyperinsulinemia, polycystic ovaries in ultrasonography, hirsutism, alopecia, acne, and acanthosis nigricans. Several studies have shown an association between PCOS and heart disease because of varied causes, including altered lipid/glucose metabolism, hypertension, systemic inflammatory conditions, vascular injuries, obesity, and hyperandrogenism. PCOS and hyperprolactinemia are the two most common etiologies of anovulation in women, although evidence linking them suggests independent origins of these conditions. Hence, PCOS influences the quality of life as its clinical manifestations may lead to fear of sexual unattractiveness, poor self-esteem, discontent with one’s physical appearance, social anxiety, emotional changes, and mood swings, causing huge psychological distress. Conclusion: It is essential to focus on managing the patients’ primary needs and reducing the impact of long-term risk factors when treating a patient with PCOS. The symptoms of a PCOS patient could be well managed when a variety of specialists work together, catering to a multidisciplinary approach.

Car(Ry)Ing the Past, Present, and Future—A Deep Dive Into Danish Dance Stories

Abstract Danish Dance Stories is an artistic initiative manifested through a series of collegial encounters in 2018 and 2021, which revolves around the sharing of personal (hi)stories across generations and geographic affiliations. Documentation from the events and contributions from participants have been organized as stories on the website danskedansehistorier.dk. By revisiting and through the writing process engaging in conversations with the content of the stories, the text is an attempt to articulate and reflect on issues and potentials of the initiative. The conversations raise questions about hegemony, hierarchy and access, discussed through the lens of the terminology that constitute the ambiguous title of the initiative; Danish, Dance and History. By leaning onto the knowledge and experience of colleagues, complexity, multiplicity and repetition are proposed as a possible direction for a future local dance community.

Deep Dive into Eutectics: On the Origin of Deep and Elevated Eutectics

There is growing interest in deep eutectic solvents (DES) for both chemical synthesis and materials applications. However, there is a general lack of understanding regarding what uniquely defines a system as a deep eutectic, and more importantly, what chemical properties determine unique eutectic behavior. In this work, we identify the thermodynamic basis for ideal eutectics relative to assumptions of ideal solutions. We then articulate the new Solvation Shell-Ionic Liquid (SSIL) and -Liquid Solvate (SSLS) model for solutions which identify the chemical/physical factors that create solution non-ideality and afford the ability to accurately calculate liquiduses, and thus the eutectics, of binary systems. The application of these models is demonstrated using diverse families of materials including aqueous salt solutions (ZnCl2, NaCl, KCl, and NH4NO3), aqueous molecular solutions (sucrose and urea), solutions of naphthalene with aromatic (toluene, benzene, toluene, biphenyl and phenanthrene) and non-aromatic (ethanol, butanol, heptane and acetone) solvents, and the choline chloride:urea system for which the term DES was first introduced. The accurate description of the non-ideal enthalpic and entropic terms affords clear definition and prediction of both deep and elevated eutectics in diverse systems.

Regulatory developments in the medical devices sector: A long and difficult journey

Because the development of medical devices, device users, and the devices themselves often cross borders, medical device regulations in Switzerland are closely aligned with those of the European Union. Therefore, the Regulatory Affairs Watch editorial team wanted to hear first-hand from a European stakeholder who has been involved in this matter since the events that triggered the changes to European medical device regulation. In this first Deep Dive article, Catherine Simonin, MD, who is actively engaged in France’s Ligue contre le cancer (LCC, league against cancer) and the overarching national patient organisation France Assos Santé, discusses some of the drivers of regulatory changes for medical devices. The LCC has long been advocating for medical device legislation to focus more on patient safety, and the effects of its advocacy efforts can be seen in the EU’s changing legislative landscape. Using a Q&A format, Catherine Simonin also presents the perspective of patients and patient organisations on the EU’s recent Medical Device Regulation.

134. Roadblocks to Reconstruction: A Deep Dive into Autologous Breast Reconstruction Trends in New York City

134. Roadblocks to Reconstruction: A Deep Dive into Autologous Breast Reconstruction Trends in New York City

Cross-Course Harmonized Assignments in Neuroscience.

Neuroscience is inherently interdisciplinary. This interdisciplinarity can be lost due to the self-contained nature of each course in most undergraduate neuroscience programs, leaving students to draw these cross-course relationships on their own. We sought to address this by using short, creative research assignments on a topic of the student's choice ("Deep Dive" assignments) that provided students with the opportunity to explore common applications across two concurrently run core neuroscience courses housed in different departments. We tested whether unifying the available Deep Dive topics across the two courses improved student outcomes. Specifically, students were asked to select a topic of interest from a shortlist shared in the two courses. Our results show that harmonized, concurrent creative assignments across dissimilar neuroscience courses improved outcomes related to student interest in material, confidence in creative problem solving, content recall for the other course, and applicability to real life. To our surprise, there was no added benefit to be in the same topic for both courses. Instead, the addition of harmonized Deep Dive assignments themselves, even if assigned on different topics across the two courses, drove the outcome improvement.

Hitchhiking to the abyss.

We investigated, for the first time, the hitchhiker-host fidelity of deep-diving whale sharks and Chilean devil rays. We found that two of the most ubiquitous oceanic hitchhikers, the common remora and the pilot fish, are able to follow their hosts to bathypelagic depths, where they are exposed to extreme gradients of light, dissolved oxygen, temperature, and pressure. We documented a deep dive of a large whale shark hosting remoras and pilot fish. Common remora was observed at the deepest section of the dive, at 1460 m, where the water temperature was 3.6°C. A pilot fish was recorded at 900 m, during the ascent phase, with the water temperature of 7.5°C. Although the adaptations that allow these hitchhikers to mitigate the impacts of such extreme environmental conditions remain unknown, we discuss these findings in the framework of the ecophysiology of deep diving and the hitchhiker-host fidelity.

Cerebras Architecture Deep Dive: First Look Inside the Hardware/Software Co-Design for Deep Learning

The compute and memory demands for deep learning and machine learning (ML) have increased by several orders of magnitude in just the last couple of years, and there is no end in sight. Traditional improvements in processor performance alone struggle to keep up with the exponential demand. A new chip architecture co-designed with the ML algorithms can be better equipped to satisfy this unprecedented demand and enable the ML workloads of the future. This article describes the Cerebras architecture and how it is designed specifically with this purpose, from the ground up, as a wafer-sized chip to enable emerging extreme-scale ML models. It uses fine-grained data flow compute cores to accelerate unstructured sparsity, distributed static random-access memory for full memory bandwidth to the data paths, and a specially designed on-chip and off-chip interconnect for ML training. With these techniques, the Cerebras architecture provides unique capabilities beyond traditional designs.

The Case of Exchange Logs – A Deep Dive

The Case of Exchange Logs – A Deep Dive

5612969 INSIGHTS FROM AN ENGAGEMENT EVENT TO SUPPORT COLLABORATION BETWEEN CHILDREN WITH SICKLE CELL DISORDER, THEIR FAMILIES AND HEALTH SERVICES

Introduction: The APPG inquiry into sickle cell disorder (SCD) services found “serious care failings,” detailing SCD patients avoiding hospitals due to fear and lack of trust.1 It is often said that patients and families ‘do not engage’ or are ‘hard to reach,’ reflecting that services are not always accessible. Aims: In response, we organised a collaborative event reaching out to children and young people (CYP) with SCD and their families in a fun, accessible way. This aimed to test the theory that in an alternative and informal environment, there would be significant uptake of health promotion opportunities. Methods: The organising committee invited patient and parent representation, working closely with targeted charities. Three NHS trust charities contributed to funding and Tottenham Hotspur provided the venue. The event was widely advertised through health services via mailing lists, flyers and social media. Health promotion activities included Expert Panel Question and Answer session, myth busting and research stalls, transition workshops and complementary therapies. Performances from the B positive choir, celebrity DJing, arts and crafts, outdoor games and dance ensured the event was entertaining. Additionally, there was a session on career advice, as suggested by one of the patient representatives. Volunteers collected written feedback with open questions aiming to identify what attendees enjoyed, learnt, and improvement suggestions. Results: The event proved popular with 212 people cared for by 24 trusts (across London, Bedfordshire, Bristol, Cambridgeshire, Essex, Hertfordshire and Kent) registered in addition to their friends and family members. Despite train strikes on the day, 123 adults and 153 CYP across a range of ages (15% 1-4 y/o, 29% 5-10, 39% 11-15, 20% 16-18) attended. 64 submitted event feedback. We asked carers and CYP what was most valued about the event. Responses demonstrated: 61% said education about SCD, particularly learning about general management and emerging treatments such as gene therapy. 44% stated Fun and Enjoyment encouraged positive engagement for children and families rather than solely focused on health education. 16% valued the Sense of Community through connecting with other families as well as professionals in an informal setting. Conclusion: This demonstrates the feasibility of large-scale public health events through collaboration with stakeholders. There is demand for accessible, inclusive, and fun educational events in non-clinical settings. The high proportion of attendees learning more about SCD shows this does not detract from educational gain, but can strengthen care in an empowering way. It is important that the event feedback shapes further work. Attendees including families with newly diagnosed children were invited to peer support groups and people signed up to be informed of future events. Future plans include: Hosting similar events with interested networks. Event development to include more interactive workshops, events for young adults and opportunities for CYP and families to connect and form supportive communities. Deep Dive Event into the Experience of Care to investigate and guide what improvements can be made to SCD services. Reference 1. All Party Parlimentary Group (APPG) and the Sickle Cell Society, No One’s Listening: An Inquiry into the Avoidable Deaths and Failures of Care for Sickle Cell Patients in Secondary Care 2021 https://www.sicklecellsociety.org/wp-content/uploads/2021/11/No-Ones-Listening-PDF-Final.pdf

Unlocking the Secret to Customer Happiness: A Deep Dive Into the Satisfaction and Loyalty Levels of Pia Cap Mangkok Purchasers in Malang

In today's highly competitive business landscape, analyzing customer satisfaction and loyalty is a critical strategy for companies to stay ahead. This study investigated the level of customer satisfaction and analyzed consumer loyalty towards Pia Cap Mangkok, a popular food brand in Malang, Indonesia. A total of 91 respondents were selected using purposive sampling, and data was collected through observation, interviews, and documentation methods. The study used both primary and secondary data to evaluate the level of customer satisfaction and analyze consumer loyalty. Customer satisfaction was measured through product and service attributes using the Customer Satisfaction Index (CSI) and Importance Performance Analysis (IPA), and the study found that Pia Cap Mangkok scored 74.44% in the satisfied criteria. The IPA technique identified attributes that must be maintained and improved, including taste, pia flavor, atmosphere, cleanliness, swift and friendly waiter service, efficient order process, room decoration, and waiter appearance. Moreover, the Loyalty Pyramid was used to analyze consumer loyalty, and the study found that 85% of the buyers are satisfied, 85% like the brand, 58% are committed buyers, 28% are switchers, and 16% are habitual buyers. The study provides valuable insights for Pia Cap Mangkok to develop effective marketing strategies to maintain its customer base and attract new customers.

Bank Mergers Unveiled: A Deep Dive into the Performance of Public Sector Banks

This research paper presents a comprehensive review of the performance of India's merged public sector banks using a pre and post comparative analysis of financial ratios such as liquidity, profitability, return, and solvency. The study's findings show that mergers have a major influence on the financial performance of public-sector banks, and there is a notable improvement in financial ratios post-merger. The paper also discusses the implications of the results for the banking industry and suggests possible strategies for the government and financial institutions to boost the performance of merging public sector banks. The findings of this study are anticipated to help regulators, bank executives, and investors evaluate the success of a merger or acquisition in the banking industry. Key Words: Mergers and Acquisitions, Public Sector Banks, Indian Banking Industry, Performance, Ratio analysis, Profitability

Optimizing Observability: A Deep Dive into AWS Lambda Logging

Ensuring the reliability and performance of AWS Lambda functions is contingent upon effective observability as serverless computing becomes an essential component of contemporary application development. This paper explores the crucial function of logging in AWS Lambda and clarifies its importance to observability. The importance of serverless systems and the difficulties they provide for conventional monitoring techniques are discussed in the introduction. The paper clarifies the core ideas of observability and places them in the context of the event-driven paradigm of AWS Lambda. Highlighting the interaction with CloudWatch Logs, the paper delves into the native logging features of AWS Lambda. It offers best practices for optimizing logging strategy, such as using structured logging and taking asynchronous and distributed systems into account. The study highlights the concrete influence of observability on system reliability by presenting case studies from real-world scenarios in which efficient logging in AWS Lambda was crucial in locating and fixing problems. To address the changing requirements of serverless application development, the conclusion highlights the current issues and potential developments in AWS Lambda logging and calls for more investigation and study

Taking a Deep Dive into Lipid-Based Mechanisms of General Anesthetics.

Taking a Deep Dive into Lipid-Based Mechanisms of General Anesthetics.

Personalized diversification of complementary recommendations with user preference in online grocery.

Complementary recommendations play an important role in surfacing the relevant items to the customers. In the cross-selling scenario, some customers might present more exploratory shopping behaviors and prefer more diverse complements, while other customers show less exploratory (or more conventional) shopping behaviors and want to have a deep dive of less diverse types of complements. The existence of two distinct shopping behaviors reflects users' different shopping intents and requires complementary recommendations to be adaptable based on the user's shopping intent. Although many studies focus on improving the recommendations through post-processing techniques, such as user-item-level personalized ranking and diversification of recommendations, they fail to address such a requirement. First, many user-item-level personalization methods cannot explicitly model the preference of users in two types of shopping behaviors and their intent on the corresponding complementary recommendations. Second, most of the diversification methods increase the heterogeneity of the recommendations. However, users' intent on conventional complementary shopping requires more homogeneity of the recommendations, which is not explicitly modeled. The present study tries attempts to solve these problems by the personalized diversification strategies for complementary recommendations. To address the requirement of modeling heterogenized and homogenized complementary recommendations, we propose two diversification strategies, heterogenization and homogenization, to re-rank complementary recommendations based on the determinantal point process (DPP). We use transaction history to estimate users' intent on more exploratory or more conventional complementary shopping. With the estimated user intent scores and two diversification strategies, we propose an algorithm to personalize the diversification strategies dynamically. We demonstrate the effectiveness of our re-ranking algorithm on the publicly available Instacart dataset.

Student-Centred Studio Environments: A Deep Dive into Architecture Students’ Needs

Architectural education has long placed a strong emphasis on the studio, which serves as a crucial place for teaching and learning. The architecture studio is a dynamic and lively place where students can engage in design discussions, exchange ideas, and receive feedback from instructors and peers. Despite recognising the vital role architecture studios play in shaping the learning experience of architecture students, limited research has explored which specific attributes of the studio environment are most important to students. This research aims to address this gap by determining the priorities of architecture students regarding key studio attributes. The research employs a quantitative approach using the Best-Worst Scaling (BWS) model and a questionnaire survey. A pilot study was conducted with undergraduate architecture students. The results reveal the ranking and relative importance of key studio attributes, organised into five categories: Physiological Facilities, Information and Communications Technology, Indoor Environment Quality, Territoriality, Furniture, and Reference. This research provides a valuable reference for designing student-centred studio environments and demonstrates the viability of using the BWS method to determine students’ priorities for studio attributes.

Student-Centred Studio Environments: A Deep Dive into Architecture Students' Needs

Student-Centred Studio Environments: A Deep Dive into Architecture Students' Needs

A Deep Dive into Tax Buoyancy: Comparing Estimation Techniques in a Large Heterogeneous Panel

A Deep Dive into Tax Buoyancy: Comparing Estimation Techniques in a Large Heterogeneous Panel

Quantum Gravity in the Lab. I. Teleportation by Size and Traversable Wormholes

A deep dive on how the language of the holographic principle can simplify our understanding of quantum information processes (and vice versa), leading to a path toward exploring holographic theories of quantum gravity in tabletop experiments.