Threshold Criteria Research Articles

Neuroscientific Evidence in Trials of Young Perpetrators Involved in Armed Conflict and Mass Atrocity

ABSTRACT In many jurisdictions, the criminal responsibility of adults is demarcated from pre-adults (adolescents, pre-adolescents, and children) based on a threshold criterion – one is either an adult or a pre-adult, and different levels of responsibility are accordingly inferred and imputed. But in a world where complexity is growingly acknowledged, and by that token, nuance and variety, there has been a predilection for the spectrum over the binary – or the scalar over the threshold. In the context of juvenile justice, this has manifested in a move away from the binary demarcation between adults and pre-adults through a growing faith in brain developmental science, which in turn, focuses on the developmental stages of the prefrontal cortex (PFC). In pre-adults, especially in adolescents, immature PFCs account for impulsiveness, volatility, and influence by peers, which in turn impact judgment and decision-making. These findings have been introduced in a few state and federal US courts trying juveniles, and recently, in the ICC trial and appeal of Dominic Ongwen, a child soldier. This paper assesses the nature, scope, and treatment of neuroscientific evidence, and lays down guidelines about its anticipated application in international trials involving vulnerable perpetrators such as juveniles.

A smarter approach to liquefaction risk: harnessing dynamic cone penetration test data and machine learning for safer infrastructure

This paper presents a novel approach for assessing liquefaction potential by integrating Dynamic Cone Penetration Test (DCPT) data with advanced machine learning (ML) techniques. DCPT offers a cost-effective, rapid, and adaptable method for evaluating soil resistance, making it suitable for liquefaction assessment across diverse soil conditions. This study establishes a threshold criterion based on the ratio of the penetration rate to the dynamic resistance (e/qd), where values exceeding four indicate high liquefaction susceptibility. ML models, including Support Vector Machine (SVM) optimized with Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Genetic Algorithm (GA), and Firefly Algorithm (FA), were employed to predict the e/qd ratio using key geotechnical parameters, such as fine content, peak ground acceleration, reduction factor, and penetration rate. The SVM-PSO model demonstrated superior performance, with high R2 values of 0.999 and 0.989 in the training and testing phases, respectively. The proposed methodology offers a sustainable and accurate approach for liquefaction assessment, reducing the environmental impact of geotechnical investigations, while ensuring reliable predictions. This study bridges the gap between field testing and advanced computational techniques, providing a powerful tool for geotechnical engineers to assess liquefaction risks and design resilient infrastructures.

Research on the Application of Statistical Anomaly Detection in Tobacco Sales Anomaly Detection

With the rapid development of a new generation of information technology, digitalization and informatization have become key factors in enhancing the core competitiveness of the tobacco industry. Detecting and monitoring abnormal tobacco sales behaviors play a vital role in combating illegal transactions and ensuring the healthy development of the tobacco industry. Manual identification of abnormal sales behaviors presents practical issues, such as low efficiency, strong subjectivity, and a reliance on accumulated experience. Utilizing statistical probability theory to help the tobacco bureau determine the threshold for defining abnormal sales behavior can effectively improve the efficiency of anomaly detection. This study applies relevant theories of statistical anomaly detection in combination with practical production needs, establishing four threshold criteria for identifying abnormal sales behaviors: the number of days without retail data, the ratio of daily sales volume to the sales volume of the previous seven days, the number of days of available sales, and the number of days with scanning activity per week. These criteria make it possible to automate and dynamically identify abnormal sales behaviors in subsequent sales situations.

Deucravacitinib, a selective, TYK2 inhibitor, in psoriatic arthritis: Achievement of minimal disease activity components in a phase 2 trial.

Deucravacitinib is a novel, oral, selective, allosteric tyrosine kinase 2 (TYK2) inhibitor belonging to a distinct class of enzyme inhibitors. In a phase 2 trial in psoriatic arthritis (NCT03881059), deucravacitinib was significantly more efficacious than placebo across multiple endpoints, including achieving minimal disease activity (MDA). This post hoc analysis further evaluated the achievement of individual components of the MDA criteria with deucravacitinib treatment and the time course of responses in the phase 2 trial. Patients (N = 203) were randomized 1:1:1 to once daily treatment with placebo, deucravacitinib 6 mg, or deucravacitinib 12 mg. The proportions of patients achieving MDA and each of the 7 individual MDA components through week 16 were assessed. At baseline, although some patients met criteria for individual MDA components, none of the patients met the composite MDA criterion, and all components were balanced overall across treatment arms. Treatment with deucravacitinib was associated with a numerically greater mean reduction from baseline in all MDA components vs placebo over 16 weeks of treatment. At week 16, a greater percentage of patients treated with either dose of deucravacitinib vs placebo achieved the threshold criteria for meeting MDA in each of the components. More patients treated with deucravacitinib met each of the MDA components vs placebo, along with a higher rate of MDA response, after 16 weeks of treatment.

The incremental value of Histogram Analysis in the differentiation between hyperdense cysts and solid renal masses on unenhanced CT images.

To investigate the utility of voxel histogram analysis (HA) for differentiating hyperdense renal cysts from small solid masses on unenhanced computed tomography (CT) scans. A retrospective analysis of 99 hyperdense cystic lesions and 28 solid malignant lesions was conducted using a radiological database (from 2015 to 2021) and a pathological database (from 2010 to 2020). The study investigated the distribution of voxel attenuation values using percentiles to establish reliable criteria for differentiation after drawing a region of interest (ROI) in the centre of the lesions. The standard of reference was a histopathological diagnosis for malignant masses and contrast-enhanced CT or magnetic resonance imaging (MRI) for cysts. HA provided higher diagnostic accuracy than the conventional mean attenuation value of 70 Hounsfield Units (HU). For the 75th and 90th percentiles ± 1 standard deviation, accuracies of 77.2% (95% confidence interval 68.9-84.2%) for the 75th and 68.5% (59.7-76.4%) for the 90th were found, versus 37.0% (28.6-46.0%) for the 70 HU threshold criterion. A Gaussian distribution of voxel attenuation values was observed in 88.9% of the lesions, suggesting that it is feasible to calculate these parameters from a single measurement. The study underscores the potential of HA as a valuable tool for characterizing hyperdense cysts on unenhanced CT by using the same ROI for measuring lesion attenuation. HA could offer additional value beyond the 70 HU criterion and possibly influence clinical decisions. Multi-institutional studies are necessary for external validation to confirm its generalizability and more extensive applicability.

P-phenylenediamines (PPDs) and PPD-quinones (PPD-Qs) in human urine and breast milk samples: Urgent need for focus on PPD-Qs and the establishment of health threshold criteria

PPDs and their oxidation products, PPD-Qs, are emerging environmental contaminants arising from the addition and oxidation of rubber products. Although numerous studies have been conducted to elucidate their risks, the primary focus has been on 6PPD and 6PPD-Q, with limited attention given to other PPDs and especially other PPD-Qs. This study comprehensively examines the occurrences of frequently used PPDs and their degradation products, PPD-Qs, in human urine and breast milk samples. The average concentrations of ΣPPDs and ΣPPD-Qs in urine were 27 ± 78 ng/mL and 16 ± 12 ng/mL, respectively. IPPD and DNPD were the predominant PPDs, while DPPD-Q, CPPD-Q, and IPPD-Q were the predominant PPD-Qs. Notably, the concentrations of 6PPD, CPPD, and DPPD were significantly lower than their oxidized quinone products. Weak or no correlations were observed between most PPDs and their corresponding PPD-Qs, suggesting that PPD-Qs in the human body are primarily derived from direct environmental intake rather than in vivo conversion of PPDs. PPDs and PPD-Qs were widely detected in breast milk, exhibiting concentrations and patterns similar to those found in urine, with comparable major pollutants. Estimated daily intakes of PPDs + PPD-Qs for infants were several μg/(kg·day), with the 95th percentile intake approaching 10 μg/(kg·day).

Beyond myeloid neoplasms germline guidelines: Validation of the thresholds criteria in the search of germline predisposition variants

AbstractIntroductionGermline predisposition to myeloid neoplasms can be suspected in patients younger than 50 years or when harboring mutations with a variant allele frequency (VAF) higher than 30% for point mutations in specific genes. To investigate the VAF thresholds’ accuracy we have explored the prevalence of germline variants below the 30% VAF threshold.MethodsA total of 40 variants with VAF lower than 30% in bone marrow samples of myeloid neoplasm patients were selected and studied in CD3+ cells.ResultsAll the selected variants were not found in CD3+ cells except one variant in the SF3B1 gene. However, the whole series was found somatic. Selected variants were also evaluated with our previously studied series of 52 variants with VAF higher than 30%.ConclusionOur study suggests that variants with VAF below 30% are strong somatic candidates but the variants with VAF higher than 30% cannot be considered of germline origin.

Strengthening TINA: Using Pugh Matrix and Kano Analysis to Improve Its Design Threshold and Performance Criteria

Amidst the pandemic, the Teknoy-Inquiry Assistant (TINA) system was created to accommodate student institution–related questions while following the restrictions implemented by the government. Due to the rushed design, users experience untimely response problems when using the service. The research aims to investigate and propose improvements to the TINA system for the sustainability of the service. The researchers focused on the turn-around time for the replies to the questions in the TINA system. To further justify the importance of addressing the turn-around time of replies, the researchers also investigated the meaningful relationship between student satisfaction and response time. The researchers addressed and resolved the reply time using Kano Analysis. The research also used purposive sampling, using researcher-made survey questionnaires to find the relationship between student satisfaction and the timeliness of replies. With the help of the Pearson correlation coefficient, the researcher found a positive correlation between student satisfaction and reply time, with a positive correlation value of 0.4090. Since a positive correlation is found between student satisfaction and reply time, improving the turn-around time of reply certainly increases student satisfaction. Therefore, to improve TINA, the researchers advocate implementing its Artificial Intelligence Chatbot version to improve reply time. The research is the first to contribute to the Field of Technology and University Services within the local context since it may give practical suggestions on properly creating an Inquiry Assistant System among regional universities.

Clinical Yield of Acute Inflammatory Markers in the Pediatric Emergency Department

The use of inflammatory markers (IMs) in the pediatric emergency department (PED) is broad and non-specific. This retrospective, cross-sectional study of children aged 3 months to 18 years evaluated the use of IMs in the PED. The reasons for IM use were provider practice (38%), ruling out a differential diagnosis (36%), and presence of comorbidities (18%). IMs are commonly used for gastroenterology, infectious diseases, and orthopedic diseases. A third had IMs without an indication. Forty-six percent of IM testing was indicated based on medical documentation, of which only 21% had abnormal IMs. Compared to the abnormal IM values by the on-site laboratory, the IM assessment using a receiver operating characteristic (ROC) curve threshold criterion had improved specificity and negative predictive value (NPV) based on the reason for IM use. This study suggests that the rate of abnormal IMs is low and does not affect patient outcomes in the PED.

Integrated simulation method and experimental validation for the vacuum induction melting process

In Vacuum Induction Melting (VIM), reduction of defects such as porosity and cracking is critical to improve electrode integrity. Traditional simulation method ignores the temperature drop of liquid metal as it passes through the tundish, leading to inaccuracies in predicting the solidification process in the mold. Additionally, the crack of ingot may occur during demolding process, which is always overlooked. This paper presents an integrated simulation method that includes the flow model of liquid metal in the tundish, as well as the solidification model and the stress model of ingot in the mold. Based on these models, the criterion for demolding time is established based on First and Fourth Strength Theories. The entire VIM process from pouring to demolding can be analyzed comprehensively through this simulation method. The method is validated by 500 kg Inconel 718 VIM trial including the temperature measurement of outer mold wall, the height measurement of liquid metal in the tundish and longitudinal sectioned experiment of ingot. The suitable criteria for porosity of 500 kg Inconel 718 ingot, including shrinkage porosity and shrinkage cavity, have been found to be the Niyama criterion threshold of 15 K0.5s0.5cm−1 and Classical porosity model. Finally, the impact of each process parameter on porosity and demolding time is studied through this method for 500 kg Inconel 718 ingot. This method is not only applied to 500 kg ingot but also to larger ingot, thereby providing a basis for the VIM process optimization.

Concordance of PD-L1 Expression in Metastatic Triple-negative Breast Cancer Between the 22C3 and E1L3N Antibodies Using Combined Positive Scoring.

For patients with metastatic triple-negative breast cancer (TNBC), treatment with pembrolizumab is dependent on the accurate determination of programmed death ligand 1 (PD-L1) expression using immunohistochemistry (IHC). This study evaluated the interobserver concordance in assessing PD-L1 expression on TNBC samples using the commercial 22C3 IHC assay and an in-house assay based on the E1L3N antibody. Concordance between the 22C3 and the E1L3N IHC assays was evaluated on TNBC samples read by a commercial laboratory and a Brigham and Women's Hospital breast pathologist (BWH reader). Each slide was given a PD-L1 combined positive score (CPS) and was considered PD-L1 positive or negative based on the CPS cutoff of 10. Interobserver concordance for the assays was also evaluated on a subset of samples between 2 and 3 independent readers. On 71 samples, 2 independent readers (1 BWH reader and commercial laboratory) using E1L3N and 22C3, respectively, reached agreement on PD-L1 status (positive/negative) on 64 samples (90.1%). Using 22C3, 2 independent readers reached agreement on PD-L1 status on 30 of 36 samples (83.3%), and 3 independent readers reached agreement on 16 of 27 samples (59.3%). Using E1L3N, 2 BWH readers reached agreement on PD-L1 status on 18 of 27 samples (66.7%). Three BWH readers reached an agreement on 2 of 12 of the most challenging samples (16.7%). In conclusion, concordance between E1L3N and 22C3 testing using CPS for PD-L1 in metastatic TNBC was >90%. However, certain cases were challenging to agree upon using current threshold criteria, highlighting the need for more standardized evidence-based methods to assess PD-L1 expression.

A new denoising method of ship-radiated noise: Improved variational mode decomposition coupled with fractional order entropy double threshold criterion

A new denoising method of ship-radiated noise: Improved variational mode decomposition coupled with fractional order entropy double threshold criterion

A novel class of non-Gaussian system performance assessment and controller parameter tuning methods

Traditional variance-based control performance assessment (CPA) and controller parameter tuning (CPT) methods tend to ignore non-Gaussian external disturbances. To address this limitation, this study proposes a novel class of CPA and CPT methods for non-Gaussian single-input single-output systems, denoted as data Gaussianization (inverse) transformation methods. The idea of quantile transformation is used to transform the non-Gaussian data with the goal of maximizing mutual information into virtual Gaussian data. In addition, optimal system data for the virtual loop are mapped back to the actual non-Gaussian system using quantile inverse transformation. Furthermore, a CARMA model-based recursive extended least square algorithm and a CARMA model-based least absolute deviation iterative algorithm are used to identify virtual Gaussian and non-Gaussian system process models, respectively, while implementing the CPT. Finally, a unified framework is proposed for the CPA and CPT of a non-Gaussian control system. The simulation results demonstrate that the proposed strategy can provide a consistent benchmark judgment criterion (threshold) for different non-Gaussian noises, and the tuned controller parameters have good performance.

Analysis of extrusion characterization of Nd-Fe-B permanent magnet ring based on Normalized Cockcroft & Latham fracture criterion

The hot deformation behavior of hot-pressed Nd-Fe-B material was investigated using a Gleeble-3500 thermal simulation machine, with deformation of 50 %, temperatures ranging from 700 to 850 °C, and strain rates ranging from 0.01 to 1 s−1. A hyperbolic sine model was employed to establish a constitutive equation suitable for this material. In addition, the chosen fracture criterion and damage threshold in the simulations were validated against the experimental results. Then, a three-dimensional thermo-mechanical coupled model was developed to simulate the damage evolution of the material during the extrusion process. The effects of different extrusion processes and positions of the back pressure tool on the magnetic performance and forming quality of the material were investigated. The simulation results indicate that both the combined extrusion process and the back pressure tool located at the half of the workpiece will contribute to improve the uniformity of the magnetic properties, and effectively ensuring the regularity of the forming process at the top of the magnetic ring and suppressing the occurrence of cracks. The results of this paper will help to a better understanding of the deformation mechanism of Nd-Fe-B permanent magnet and provide a valuable theoretical guidance for the preparation of high-performance Nd-Fe-B magnetic rings.

Antibodies to PfEMP1 and variant surface antigens: Protection after controlled human malaria infection in semi-immune Kenyan adults

Acquisition of antibodies to Plasmodium falciparum variant surface antigens (VSA) expressed on infected red blood cells (iRBCs) is associated with naturally acquired immunity to malaria. We have previously shown that antibodies to VSA on iRBCs are associated with protection against parasite growth in the context of controlled human malaria infection (CHMI). This study explored whether antibodies to recombinant antigens derived from PfEMP1 domains were independently associated with protection during CHMI in semi-immune Kenyan adults. We used a multiplex bead assay to measure levels of IgG antibody against a panel of 27 recombinant PfEMP1 antigens derived from the PfEMP1 repertoire of the 3D7 parasite clone. We measured IgG levels in plasma samples collected from the CHMI participants before inoculation with Sanaria® PfSPZ Challenge, on the day of diagnosis, and 35 days post-inoculation. Univariable and multivariable Cox regression analysis was used to evaluate the relationship between the levels of antibodies to the antigens and CHMI outcome. We also adjusted for previous data including antibodies to VSA on iRBCs, and we assessed the kinetics of antibody acquisition to the different PfEMP1 recombinant antigens over time. All study participants had detectable antibodies to multiple PfEMP1 proteins before inoculation. All PfEMP1 antigens were associated with protection against parasite growth to the threshold criteria for treatment in CHMI, albeit with substantial collinearity. However, individual PfEMP1 antigens were not independently associated with protection following adjustment for breadth of reactivity to VSA on iRBCs and schizont extract. In addition, antibodies to PfEMP1 antigens derived from group B PfEMP1 were induced and sustained in the participants who could not control parasite growth. This study shows that the breadth of antibody response to VSA on iRBCs, and not to specific PfEMP1 antigens, is predictive of protection against malaria in CHMI.

High prevalence of adult and nonadult scurvy in an early agricultural transition site from Mainland Southeast Asia was associated with decreased survivorship.

The osteological paradox recognizes that the presence of lesions is not always directly related with increased mortality. When combined with the clinical, historical, and epidemiological literature on scurvy, survivorship analysis, a form of statistical analysis to assess the relationship between the presence of diseases in the archeological record and survival, helps determine the overall burden of the disease both in terms of morbidity and mortality. This article explores the relationship between scurvy and survivorship in 26 adults from Man Bac, a Neolithic site from northern Vietnam together with prepublished evidence of scurvy in the nonadult population (n = 44). Diagnosis of scurvy included differential diagnosis combined with the Snoddy, A. M. E., Buckley, H. R., Elliott, G. E., Standen, V. G., Arriaza, B. T., & Halcrow, S. E. (2018). Macroscopic features of scurvy in human skeletal remains: A literature synthesis and diagnostic guide. American Journal of Physical Anthropology, 167(4), 876-895. https://doi.org/10.1002/ajpa.23699 threshold criteria and the Brickley, M. B., & Morgan, B. (2023). Assessing diagnostic certainty for scurvy and rickets in human skeletal remains. American Journal of Biological Anthropology, 181, 637-645 diagnostic certainty approaches. Kaplan-Meier survival curves were produced to assess the relationship between the presence of probable scurvy and age-at-death. The prevalence of probable scurvy in adults (35%) was considerably lower than reported for the nonadults (80%). Almost all lesions observed in the adults were in a mixed stage of healing. Kaplan-Meier analysis demonstrated no difference in survivorship between infants and children (<15 years) with or without probable scurvy, whereas a meaningful difference was observed for the adults and adolescents (15+ years). The findings demonstrate that scurvy considerably decreased survivorship to older age categories. The degree of lesion remodeling, however, indicates that scurvy was not necessarily the direct cause of death but contributed to an overall disease burden that was ultimately fatal.

A multi-scale convolutional neural network with adaptive weight fusion strategy for assisting glaucoma screening

The diagnosis of glaucoma primarily relies on the accurate segmentation of the optic disc (OD) and optic cup (OC). However, OC segmentation remains challenging due to significant individual differences. This study proposes a threshold-based OD extraction method and multi-scale residual U-Net with context attention mechanism and adaptive weight fusion strategy (MRCAAU-Net) to segment OC and OD jointly. Firstly, based on the intensity difference between the OD and the background, an improved thresholding criterion combined with template matching technique is used to effectively detect the OD region, providing accurate input images for network training. Secondly, considering the semantic gap issue during the encoder-decoder feature fusion in the segmentation network, this paper develops an adaptive weight fusion module to guide the effective connections of encoder-decoder features. Additionally, the 1D convolution-based attention mechanism has stronger local perceptiveness. This paper integrate it into various modules, combining multi-scale methods to enhance the segmentation performance of OC by incorporating both global and local features. Finally, the network is guided to learn image segmentation through a hybrid loss function that ignores the background. We conducted extensive experiments on three public datasets, and obtained more accurate segmentation outputs compared to other state-of-the-art methods, particularly in the OC segmentation, where the segmentation accuracy is very close to that of the OD. The proposed joint segmentation network effectively improves and balances the segmentation performance of two objectives, which can greatly assist in large-scale screening for glaucoma.

Identification of interactions between genetic risk scores and dietary patterns for personalized prevention of kidney dysfunction in a population-based cohort

Background & AimChronic kidney disease (CKD) is a heterogeneous disorder that affects the kidney structure and function. This study investigated the effect of the interaction between genetic factors and dietary pattern on kidney dysfunction in Korean adults.MethodsBaseline data were obtained from the Ansan and Ansung Study of the Korean Genome and Epidemiology Study involving 8230 participants aged 40–69 years. Kidney dysfunction was defined as an estimated glomerular filtration rate < 90 mL/minute/1.73 m2. Genomic DNAs genotyped on the Affymetrix® Genome-Wide Human SNP array 5.0 were isolated from peripheral blood. A genome-wide association study using a generalized linear model was performed on 1,590,162 single-nucleotide polymorphisms (SNPs). To select significant SNPs, the threshold criterion was set at P-value < 5 × 10−8. Linkage disequilibrium clumping was performed based on the R2 value, and 94 SNPs had a significant effect. Participants were divided into two groups based on their generic risk score (GRS): the low-GR group had GRS > 0, while the high-GR group had GRS ≤ 0.ResultsThree distinct dietary patterns were extracted, namely, the “prudent pattern,” “flour-based and animal food pattern,” and “white rice pattern,” to analyze the effect of dietary pattern on kidney function. In the “flour-based and animal food pattern,” higher pattern scores were associated with a higher prevalence of kidney dysfunction in both the low and high GR groups (P for trend < 0.0001 in the low-, high-GR groups of model 1; 0.0050 and 0.0065 in the low-, high-GR groups of model 2, respectively).ConclusionsThe results highlight a significant association between the ‘flour-based and animal food pattern’ and higher kidney dysfunction prevalence in individuals with both low and high GR. These findings suggest that personalized nutritional interventions based on GR profiles may become the basis for presenting GR-based individual dietary patterns for kidney dysfunction.

Computer aided diagnostic system with reduced electrode set for depression detection using spatio-temporal attention mechanism

Computer-aided diagnostic systems (CAD) have been extensively used in medical applications to identify neurological abnormalities. It enhances diagnostic accuracy, decreases misdiagnosis rates, and provides reliable decision support. The proposed manuscript has introduced an automated CAD system that uses EEG signals to detect depression. The proposed automated CAD system is designed to work with a reduced set of electrodes. This manuscript introduces a method for electrode ranking based on the Fisher score. Electrodes are selected based on the threshold criteria. EEG is spatio-temporal data. The spatial and temporal self-attention mechanism is used to extract spatial and temporal features in the spatial and temporal domain. The proposed automated CAD system reduces the requirements of electrodes by an order of magnitude without compromising the performance of the model. The proposed CAD system has a higher degree of automation. It reduces the cost of the scan, experimental time, and complexity of the system.

Rates of, and factors associated with, common mental disorders in homeworking UK Government response employees’ during COVID-19: a cross-sectional survey and secondary data analysis

IntroductionWorking on the frontline during the COVID-19 pandemic has been associated with increased risk to mental health and wellbeing in multiple occupations and contexts. The current study aimed to provide an insight into the rate of probable mental health problems amongst United Kingdom (UK) Government employees who contributed to the COVID-19 response whilst working from home, and to ascertain what factors and constructs, if any, influence mental health and wellbeing in the sample population.MethodThis paper reports on the findings from two studies completed by UK Government employees. Study 1: A cross-sectional online survey, containing standardised and validated measures of common mental health disorders of staff who actively contributed to the COVID-19 response from their own homes. Binary logistic regression was used to assess factors associated with mental health outcomes. Study 2: A secondary data analysis of cross-sectional survey data collected across three timepoints (May, June, and August) in 2020 focusing on the wellbeing of employees who worked from home during the COVID-19 pandemic.ResultsStudy 1: 17.9% of participants met the threshold criteria for a probable moderate anxiety disorder, moderate depression, or post-traumatic stress disorder. Younger, less resilient, less productive individuals, with lower personal wellbeing and less enjoyment of working from home, were more likely to present with poorer mental health. Study 2: Found lower wellbeing was consistently associated with having less opportunities to look after one’s physical and mental health, and having unsupportive line managers and colleagues.ConclusionIt is important to ensure UK Government employees’ psychological needs are met whilst working from home and responding to enhanced incidents. It is recommended that workplaces should be seeking to continually build and improve employee resilience (e.g., through opportunities to increase social ties and support networks), essentially ensuring employees have necessary resources and skills to support themselves and others.