Limited Situations Research Articles

MODELING OF THE AUTOMATED COMPLEX COMPONENTS FOR SEGREGATED RESIDUES GATHERING OF OPERATIONAL PRINTING

Abstract. An overview of the printing industry primary measures regarding the balanced implementation of the sustainable development goals at the regional level was carried out. Based on the latest works analysis in the direction of the enlargement of branch waste management systems, the solutions insufficiency for the limited financial situations of small businesses is revealed, and the relevance of finding optimal means of gathering segregated waste and their temporary storage at the enterprise is shown. The criteria have been established and the stratification of typical categories of orders the operational printing has been carried out according to print run and rest volume. The requirements for the collection and storage of waste raw materials and consumables have been clarified and expanded, in particular regarding the provision of microclimatic conditions. In order to model effective business processes of pro­duction residues management, the construction of a universal complex for target cumulative of pre-segregated substrate scraps in the form of a smart container with a weighing terminal is substantiated. For flexible allocation of corporate flows, the hardware part is implemented from measuring, supervisory and communication blocks depending on their purpose in the automated microprocessor platform. The researched printing waste types the built algorithm of the life cycle of their cumulating made it possible to draw up an architectural diagram of segregator system and determine the main components hierarchy of printing waste receptacle when order manufacturing. As a result, analytical models were built and the modeling of automated complex of segregated residues gathering in operational printing was carried out based on created microcontroller system for monitoring of mass and climate control of cumulated surpluses to maintenance proper conditions their subsequent recycling.

Improving the Efficiency of Software Reliability Demonstration Testing by Introducing Testing Effectiveness

For highly reliable software systems, it is expensive, time consuming, or even infeasible to perform reliability testing via a conventional software reliability demonstration testing (SRDT) plan. Moreover, in the traditional SRDT approach, the various characteristics of the software system or test sets are not considered when making the testing schemes. Some studies have focused on the effect of software testability on SRDT, but only limited situations were discussed, and many theoretical and practical problems have been left unresolved. In this paper, an extended study on the quantitative relation between test effectiveness (TE) and test effort for SRDT is proposed. Theoretical derivation is put forward by performing statistical analysis for the test suite according to TE. The combinations of all the cases of zero-failure and revealed nonzero failure, as well as discrete-type software and continuous-type software, are studied with the corresponding failure probability models constructed. That is, zero-failure and nonzero failure, as well as discrete-type software and continuous-type software, respectively, constitute the symmetry and asymmetry of SRDT. Finally, we illustrated all the models and performed applications on the Siemens program suite. The experimental results show that within the same limitation of requirements and confidence levels, this approach can effectively reduce the number of test cases and the test duration, i.e., accelerate the test process and improve the efficiency of the SRDT.

Trauma Compendium: Management of the Entrapped Patient – a position statement and resource document of NAEMSP

ABSTRACT Entrapped patients may be simply entombed or experiencing crush injury or entanglement. Patients with trauma who are entrapped are at higher risk of significant injury than patients not entrapped. Limited access and prolonged scene times further complicate patient management. Although patient entrapment is a significant focus of specialty teams, such as urban search & rescue (US&R) teams that operate as local, regional, and/or national resources in response to complex scenes and disaster scenarios, entrapment is a regular occurrence in routine EMS response. Therefore, all EMS clinicians must have the training and skills to manage entrapped patients and to support medically-directed rescue throughout the extrication process. NAEMSP recommends: EMS clinicians must perform a timely and thorough primary and secondary assessment and reassessments in parallel with dynamic extrication planning; the environment may require adaption of standard assessment techniques and devices. EMS clinicians should establish early, clear, and ongoing communications with rescue personnel to ensure a coordinated patient-centered medically directed approach to extrication. Communication with the patient should be frequent, clear, and reassuring. EMS clinicians should immediately take measures to effectively prevent and manage hypothermia. EMS clinicians should recognize airway management in the entrapped patient is always challenging. When required, advanced airway placement should be performed by the most experienced operator with proficiency in multiple modalities and alternative techniques in limited access situations. In entrapped patients who are experiencing or are at risk for crush syndrome, EMS clinicians should initiate large-volume (i.e., 1-1.5 liters/hour for adults and 20 milliliters/kilogram/hour for pediatric patients for the initial 3-4 hours) fluid resuscitation with crystalloid, preferably normal saline, as early as possible and prior to extrication. In entrapped patients who are experiencing or are at risk for crush syndrome, EMS clinicians should administer medications to mitigate risks of hyperkalemia, infection, and renal failure, early and prior to extrication. Tourniquet application should be considered in the setting of the crushed extremity as a potential adjunct to medical optimization before extrication of some patients. Patients with prolonged entrapment with the potential for severe injuries require complex resuscitation and may benefit from EMS physician management on scene. EMS systems should consider an early EMS physician response to entrapped patients.

Characterizing Rotational Dynamics and Heterogeneity via Single-Molecule Intensity Measurements.

Dynamic heterogeneity in glassy systems has typically been characterized at the single-molecule level by extracting rotational relaxation time scales from linear dichroism (LD) collected via two orthogonally polarized channels. However, in such measurements, localization precision is diminished due to photons lost relative to collection in a single detection channel. This poses challenges in characterizing rotational and translational dynamics simultaneously, as translational measurements require high localization precision. In this paper, we present a method for extracting rotational dynamics of glassy systems at the single-molecule level from intensity fluctuations of fluorescent probe molecules in a wide-field configuration without the use of a polarizing optical component. Through numerical analysis, we show that LD and intensity measurements probing rotational dynamics report similar, approximately second-order rotational correlation decays even at low signal to noise. Thus, within the assumptions of small, isotropic rotations, LD and intensity autocorrelation analysis should provide identical information on the time scale and heterogeneity of rotational dynamics. We then present experimental results that validate this numerical result, with direct comparison of LD and intensity-based approaches across probe molecules in both polymeric and small-molecule glass formers as well as across optical configurations. Our results demonstrate moderate correlation on a per-probe basis between rotational time scales obtained from both approaches, with deviations consistent with those expected in a dynamically heterogeneous system. We envision that this easily accessible strategy will be of use across disciplines for characterizing single-molecule rotational dynamics in limited signal situations and/or when high-precision localization is required.

Functional validation of mungbean LEA protein coding gene in bacterial expression system confers salt stress tolerance

Mungbean (Vigna radiata R. Wilczek) is a major tropical food grain legume that is widely cultivated in tropical part of the world. Mungbean like other plants, tolerate and survive limited water situation owing to expression of stress associated proteins that offers membrane stability and cell protection. Late Embryogenesis Abundant (LEA) proteins are among the group of low molecular weight proteins, that play diverse roles in stress protection in several species of plants and animals. A LEA protein coding gene VrLEA2 was isolated from mungbean and its role in stress tolerance has been demonstrated using a bacterial expression system. VrLEA2 gene isolated was of size 893 bp and characterized as a group 1 LEA protein based on the sequence signature motif with presence of hydrophilic domain and a characteristic 20-mer conserved amino acids motif. VrLEA2 gene was cloned into a bacterial expression vector, pET 28a (+), transformed into the E.coli BL21 (DE3) cells for recombinant protein expression and subsequently subjected to antibiotic selection with kanamycin. Functional validation of the VrLEA2 for salt stress tolerance with varied concentration of NaCl (0 mM to 600 mM) showed alteration in colony morphology and reduction in the number of colonies in control compared to the transformed cells demonstrating the improved survival rate of cells expressing VrLEA2 protein. These findings indicate the best use of bacterial expression system for functional validation of plant proteins under stressed environments.

ANCF-based dynamic modeling of variable curvature soft pneumatic actuators with experimental verifications

Accurate and computationally efficient models of soft pneumatic actuators are crucial for utilizing their compliance in various fields. However, existing research primarily relies on the piecewise constant curvature assumption or the quasi-static assumption, only valid in limited situations. In this paper, we present a dynamic model based on absolute nodal coordinate formulation (ANCF) that simultaneously accounts for variable curvature deformation and dynamic properties. To this end, deformed configurations of soft pneumatic actuators are firstly discretized into ANCF-based beam elements. Based on this parameterization method, the dynamic model is derived by the principle of virtual work. After identifying model parameters, Newmark algorithm is utilized to solve the dynamic model in real-time, averagely consuming 6.76 s of a 10 s simulation. The derived dynamic model is experimental verified using a soft pneumatic actuator. The experimental results demonstrate that the maximum simulation errors of the tip remain below 2.5% of the actuator’s length when the actuator is subjected to various pressure and tip loads. In addition, the overshoot behavior and period of vibration in the oscillations are also predicted by the dynamic model. Moreover, the dynamic model exhibits an average 46.53% reduction in simulation error compared with the static ANCF-based model. Overall, this work paves the way to a deeper insight to dynamic motion analysis of soft pneumatic actuators.

An evaluation of a new rapid qPCR test for the detection of 2019-novel coronavirus nucleocapsid (N1) gene in wastewater in Roanoke and Salem VA sewersheds.

The COVID-19 pandemic initiated public interest in wastewater-based epidemiology (WBE). Public and private entities responded to the need to produce timely and accurate data. LuminUltra and Hach partnered to provide a rapid, field-based quantitative polymerase chain reaction (qPCR) test for detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in wastewater. This study evaluates the Hach GeneCount SARS-CoV-2 Wastewater RT-qPCR Assay Kit and LuminUltra GeneCount® Q-16 RT-PCR instrument. The Hach LuminUltra methods were compared to the Promega Wizard® Enviro Total Nucleic Acid kit and Bio-Rad CFX Opus 96 Real-time PCR Detection System. Over a 12-week period, wastewater samples were collected weekly from seven locations in the Roanoke/Salem, VA sewersheds. Concentration and extraction of the viral RNA were followed by qPCR analysis. The target gene for detection was the nucleocapsid gene (N1) of the SARS-CoV-2 virus. Costs, ease of use, time to produce results, sample preparation, and data comparisons were considered. The comparison determined that the Hach LuminUltra method and instrument were more affordable, consumed less time, and required less technical expertise. While the new method was specific, it had low sensitivity. This evaluation suggests the Hach LuminUltra method should be reserved for limited situations requiring onsite field analysis where data accuracy is not essential.

The Role of Topology and Capacity in Some Bounds for Principal Frequencies

We prove a lower bound on the sharp Poincaré–Sobolev embedding constants for general open sets, in terms of their inradius. We consider the following two situations: planar sets with given topology; open sets in any dimension, under the restriction that points are not removable sets. In the first case, we get an estimate which optimally depends on the topology of the sets, thus generalizing a result by Croke, Osserman and Taylor, originally devised for the first eigenvalue of the Dirichlet–Laplacian. We also consider some limit situations, like the sharp Moser–Trudinger constant and the Cheeger constant. As a byproduct of our discussion, we also obtain a Buser-type inequality for open subsets of the plane, with given topology. An interesting problem on the sharp constant for this inequality is presented.

Exploring Radiology Postgraduate Students' Engagement with Large Language Models for Educational Purposes: A Study of Knowledge, Attitudes, and Practices

Abstract Background: The integration of large language models (LLMs) into medical education has received increasing attention as a potential tool to enhance learning experiences. However, there remains a need to explore radiology postgraduate students' engagement with LLMs and their perceptions of their utility in medical education. Hence, we conducted this study to investigate radiology postgraduate students' knowledge, attitudes, and practices regarding LLMs in medical education. Methods: A cross-sectional quantitative survey was conducted online on Google Forms. Participants from all over India were recruited via social media platforms and snowball sampling techniques. A previously validated questionnaire was used to assess knowledge, attitude, and practices regarding LLMs. Descriptive statistical analysis was employed to summarize participants' responses. Results: A total of 252 (139 [55.16%] males and 113 [44.84%] females) radiology postgraduate students with a mean age of 28.33 ± 3.32 years participated in the study. The majority of the participants (47.62%) were familiar with LLMs with their potential incorporation with traditional teaching–learning tools (71.82%). They are open to including LLMs as a learning tool (71.03%) and think that it would provide comprehensive medical information (62.7%). Residents take the help of LLMs when they do not get the desired information from books (46.43%) or Internet search engines (59.13%). The overall score of knowledge (3.52 ± 0.58), attitude (3.75 ± 0.51), and practice (3.15 ± 0.57) were statistically significantly different (analysis of variance [ANOVA], p < 0.0001), with the highest score in attitude and lowest in practice. However, no significant differences were found in the scores for knowledge (p = 0.64), attitude (p = 0.99), and practice (p = 0.25) depending on the year of training. Conclusion: Radiology postgraduate students are familiar with LLM and recognize the potential benefits of LLMs in postgraduate radiology education. Although they have a positive attitude toward the use of LLMs, they are concerned about its limitations and use it only in limited situations for educational purposes.

Examination of the effects of innovation development, technology management and big data analytics capability in information technology companies

PurposeThe main purpose of examining innovation development (ID), technology management (TM) and big data analytics capability (BDAC) from the perspective of information technology companies is to help these companies optimize their business strategies and increase their competitiveness. When these concepts are considered together, it is aimed to present suggestions that information technology companies can increase their innovation capacities, optimize their technology portfolios and develop their big data analytics capacities.Design/methodology/approachData were collected from information technology companies working on big data analytics in technoparks in Istanbul. In the research, the Marmara region of Turkey was preferred because it is the region where the information technology sector is most common. In total, 503 questionnaires were collected. SmartPLS (4.0.8.4) licensed software was used in the research, and the results are presented with tables and figures.FindingsAs a result of the analysis of the data, it is supported by hypotheses that ID and TM have positive effects as independent variables and BDAC has positive effects as both independent and mediation variables.Research limitations/implicationsIn terms of the limitations of the research, since the data were collected only from the information technology companies in the technoparks in Istanbul, it would not be correct to generalize the analysis results. For this reason, it is recommended to develop a research model and contribute to the literature by considering this limited situation for similar studies to be conducted in the future.Practical implicationsBy focusing on ID, it is important for companies to analyze their innovation processes and increase their ID capacity. On the subject of TM, analyses help companies identify their current technological infrastructure and development needs and optimize their technology portfolios. Big data analytics is an important tool that companies can use in their decision-making processes. Therefore, analyses of big data analytics can evaluate companies' current data analytics capacities and offer improvement suggestions.Originality/valueSo why are ID, TM and BDAC important? Why should a research model be developed to examine the effects of these variables? This situation can be understood by looking at the investments made by two world-class companies with headquarters in Istanbul/Turkey. L'Oréal Turkey integrates big data, cloud computing, artificial intelligence and digital platforms into its business processes by investing in new technologies and also makes a difference with innovation in environmental sustainability and social responsibility. PepsiCo, on the other hand, placed a great emphasis on innovation by opening its third Design and Innovation Center in Turkey and Europe in Istanbul. For this reason, examining the effects of ID, TM and big data analytics together in the research is important for the originality of the research. Examining these variables by focusing on their interactions and effects increases the originality of the subject.

Innovative Videoscribe: Improving Science Learning Outcomes for Fourth Grade of Elementary School Students Through Character-Based Learning Media

The use of learning media is important in the learning process because it helps students understand the subject matter and stimulates students' attention and enthusiasm for learning. This research aims to describe the design and development of character education-based learning media in grade IV elementary school science subjects which have been tested for validity. This development research uses the ADDIE model, but is limited to the development stage due to limited time, situation and resources. The trial subjects included content experts, media experts, 2 design experts, 2 practitioners, and 18 grade IV students who participated in individual and small group trials. Data collection was carried out using a questionnaire in the form of a four scale instrument given to test subjects. Research data was analyzed using an average to determine the validity score of the media being developed. The results of the validity of learning media from the assessment of content experts, media experts, design experts and practitioners obtained very good qualifications. Individual and small group trials also demonstrated excellent qualifications. Based on this analysis, character education-based learning media in grade IV elementary school science subjects was declared valid and suitable for use in learning. This learning media is also a valuable resource and encourages teacher professionalism in teaching character values along with science material.

Do CFO Outside Directorships Benefit or Harm Home Firm Financial Reporting Quality?

SYNOPSIS Demand for chief financial officer (CFO) service on corporate boards has grown substantially in recent years, leading to questions about how outside board appointments affect a CFO’s ability to fulfill their home firm responsibilities. In this paper, we focus on the CFO’s core responsibility of overseeing home firm financial reporting quality, and we explore the types of situations where outside board service may lead to either learning opportunities or pressure to shirk on home firm duties. Our results should interest investors, auditors, and board members considering the implications of CFO outside board service because, although we observe no negative impacts on home firm financial reporting quality arising from outside board service, we find only limited situations where significant benefits accrue. Data Availability: All data are publicly available from sources cited in text. JEL Classifications: G34; M40; M41.

The Comparison of Experiments in Embedded System Course

The embedded system is designed to perform specific computation tasks and usually embedded in other devices. Unlike normal personal computer and cloud server, it is not for daily use but production environment with higher stability and reliability demands in various fields with fixed functionalities, smaller size and lower power consumption for the use of portable and power limit situations. The course of embedded system generally contains fundamental concepts, hardware architecture, software development, bootloader and kernel development, etc. It is a course closely integrating theory and experiments, with the purpose of making resource optimization and management, power efficiency, security and integrity. As a course in university, there are many factors that teacher needs to take into consideration before conducting the experiments in embedded system. In this paper, various factors relevant to the experiments, such as the system architecture, platform, and principles, are discussed in details for the comparison of embedded system experiments.

Stesk po domově a mezní situace. K Jaspersově rané recepci díla S. Kierkegaarda

The study focuses on the relationship between K. Jaspers and S. Kierkegaard. First, it evaluates the current scholarship regarding Jaspers’ reception of Kierkegaard’s thought; second, it offers an independent analysis of Jaspers’ early work (especially the 1909 Heimweh und Verbrechen, and then the Psychologie der Weltanschauungen). It is demonstrated that Jaspers’ early work on nostalgia presents the first case study of limit situations (Grenzsituationen). The paper traces the link between Kierkegaard’s conception of aesthetic existence and Jaspers’ concept of limit situations. It is shown that Jaspers’ study of nostalgia can be considered the original inspiration for the idea of limit situations, and that, at the same time, it was arguably Kierkegaard who had helped Jaspers to develop this germinal idea into a broader notion of limit situations.

Truth is a “bird of prey”: interpreting the postcolonial dialectic in Agustí Villaronga’s El ventre del mar (2021) with Frantz Fanon

ABSTRACT In this article, I argue that Agustí Villaronga’s 2021 film El ventre del mar (The Belly of the Sea) explores a post-Fanonian version of the Hegelian master-slave dialectic as a historical struggle between colonizer and colonized, and between the elite and the dispossessed in a limit situation. Villaronga’s cinematic vision of this historical struggle is neither progressive-linear nor simply non-linear, but iterative, as it casts light on uncanny analogies between necropolitical strategies (Mbembe 2019) marking different periods and political regimes: from the absolutist and colonial nineteenth-century France to the democratic European Union of the twenty-first century. To this end, Villaronga interweaves three hermeneutic layers into his filmic fable: the memory of a nineteenth-century historical event as mediated through pictorial and literary representations, a critique of the present marked by refugee crises and postcolonialism and an exploration of the human condition in its agonistic-tragic dimension. In Villaronga’s cinematic vision, the agon between master and slave ends neither in reciprocal recognition (as theorized by Hegel) nor in the emergence of the “new humanity” overcoming the Manichaean, “compartmentalized world” of colonialism (Fanon [1961] 2005. The Wretched of the Earth. New York: Grove Books), but in an open dialectic of resistance and radical uncertainty.

STRATEGIC GUIDELINES AND THE ROLE OF HUMAN CAPITAL FOR RESTORATION OF THE FINANCIAL AND ECONOMIC SECURITY OF CRITICAL INFRASTRUCTURE IN THE CONDITIONS OF BANI WORLD AND INDUSTRY 4.0

The purpose of the study was to determine strategic guidelines and specify the role of human capital for restoring the financial and economic security of critical infrastructure in the conditions of BANI World and Industry 4.0. Method. In the research process, such methods were used as content analysis of scientific sources and literature, generalization, systematization and addition of the work of domestic and foreign scientists in the field of clarifying the role of human capital in the restoration of economic systems, as well as in establishing the influence of trends in the modern world on the quality of human capital and on its ability to positively influence the development of Ukraine's economy and the restoration of the financial and economic security of its critical infrastructure in the post-war period. A graphic method of visualization of individual provisions, assumptions and conclusions obtained in the research process is used. The results. It has been established that the financial and economic security of critical infrastructure facilities is an important economic characteristic of national security. A high level of financial and economic security of strategically important enterprises means their ability to withstand economic risks, to be independent of external financing, to carry out effective financial and economic activity even in a situation of significant resource limitations, which will certainly be characteristic of the post-war economy. Although European partners and the whole world promise Ukraine financial support in the process of its recovery after the war, critical infrastructure enterprises in the economic plane must be characterized by a high level of functional independence, and therefore, the problem of their financial and economic security must be solved at the levels of top management and the state without the involvement of third parties or organizations. The vectors of influence of Industry 4.0 and the world of BANI on the critical infrastructure of the state are summarized. The role of human capital in restoring the financial and economic security of critical infrastructure objects is outlined. Scientific novelty. Strategic guidelines for restoring the financial and economic security of critical infrastructure in the conditions of BANI World and Industry 4.0 are proposed. Practical significance. The proposals presented in the study can serve as a supplement to the state policy of post-war recovery and development of the economy of Ukraine in terms of managing its critical infrastructure and can be used by critical infrastructure objects when developing their own financial and economic security management strategies.

Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data

With the widespread adoption of IoT, wearable devices, and sensors, time series data from human subjects are significantly increasing in the healthcare domain. Due to the laborious nature of manual annotation in time series data and the requirement for human experts, self-supervised learning methods are attempted to alleviate the limited label situations. While existing self-supervised methods have been successful to achieve comparable performance to the fully supervised methods, there are still some limitations that need to be addressed, considering the nature of time series data from human subjects: In real-world clinical settings, data labels (e.g., sleep stages) are usually annotated by subject-level, and there is a substantial variation in patterns between subjects. Thus, a model should be designed to deal with not only the label scarcity but also subject-wise nature of data to ensure high performance in real-world scenarios. To mitigate these issues, we propose a novel self-supervised learning framework for human subject time series data: Subject-Aware Time Series Clustering (SA-TSC). In the unsupervised representation learning phase, SA-TSC adopts a subject-wise learning strategy rather than instance-wise learning which randomly samples data instances from different subjects within the batch during training. Specifically, we generate subject-graphs with our graph construction method based on Gumbel-Softmax and perform graph spectral clustering on each subject-graph. In addition, we utilize graph neural networks to capture dependencies between channels and design our own graph learning module motivated from self-supervised loss. Experimental results show the outstanding performance of our SA-TSC with the limited & subject-wise label setting, leading to its high applicability to the healthcare industry. The code is available at: https://github.com/DILAB-HYU/SA-TSC

Linearisation techniques and the dual algorithm for a class of mixed singular/continuous control problems in reinsurance. Part II: Numerical aspects

This paper is intended as a companion to [12] and focuses on the numerical implementations of the method in the context of insurance problems with mixed controls: reinsurance acting as continuous control, and capital injection and dividend payment acting as singular ones. The aim is twofold. On the one hand, we provide a comparison of the output of our method in terms of the optimal value against two benchmarks. The first benchmark is provided by [4] in the no-reinsurance setting and when the claims are exponentially distributed. The second benchmark refers to [8] where capital injections are not permitted, but different claim distributions can be employed. On the other hand, we illustrate the improvement of the models in [8] when capital injection is allowed. We also look into the effect of reinsurance in the model [4]. Several cases for the equity cost parameter are discussed as are the boundary (or limit) situations.

A new and unified method for regression analysis of interval-censored failure time data under semiparametric transformation models with missing covariates.

This paper discusses regression analysis of interval-censored failure time data arising from semiparametric transformation models in the presence of missing covariates. Although some methods have been developed for the problem, they either apply only to limited situations or may have some computational issues. Corresponding to these, we propose a new and unified two-step inference procedure that can be easily implemented using the existing or standard software. The proposed method makes use of a set of working models to extract partial information from incomplete observations and yields a consistent estimator of regression parameters assuming missing at random. An extensive simulation study is conducted and indicates that it performs well in practical situations. Finally, we apply the proposed approach to an Alzheimer's Disease study that motivated this study.

Facing the Unknown: An Inductive Analysis of the Lived Experience of Medical Residents during the COVID-19 Pandemic

Introduction: The COVID-19 pandemic had significant repercussions for the everyday life and public health of society. Healthcare professionals were particularly vulnerable. Here, we interviewed medical residents about their lived experiences during the pandemic to offer a phenomenological analysis. To this end, we discuss their pandemic experiences considering Jaspers’ “limit situation” concept – that is, a radical shift from their everyday experiences, to one causing them to question the basis of their very existence. Methods: We interviewed 33 medical residents from psychiatry and other specialties from the Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP) who either (a) worked directly with COVID-19 patients or (b) provided psychiatric care to other healthcare professionals. Semi-structured interviews were developed using the Inductive Process to Analyze the Structure of lived Experience (IPSE). Results: The descriptions of the lived experiences of medical residents during the pandemic were organized into four content themes: (a) existential defense, (b) limit situations during the COVID-19 pandemic, (c) changes in lived experience, and (d) new world meanings through lived experience. Conclusion: During the COVID-19 pandemic, medical residents experienced what can be thought of as a “limit situation,” as they encountered the healthcare delivery challenges coupled with the social isolation imposed by the COVID-19 pandemic. These challenges included fear of infection and potential death, uncertainty about the future, and the emotional overload caused by the sharp increase in patient deaths. That said, after facing such a limit situation, residents reported feeling strengthened by this experience. This is consistent with the notion that when confronted with limit situations, we draw on our resources to overcome adversity and, in turn, reap existential gains. Health care providers might use these experiences to energize their own professional approach.