Complete Sample Research Articles

JWST’s First Glimpse of a z > 2 Forming Cluster Reveals a Top-heavy Stellar Mass Function

Clusters and their progenitors (protoclusters) at z ∼ 2 − 4, the peak epoch of star formation, are ideal laboratories to study the formation process of both the clusters themselves and their member galaxies. However, a complete census of their member galaxies has been challenging due to observational difficulties. Here we present new JWST/NIRCam observations targeting the distant cluster CLJ1001 at z = 2.51 from the COSMOS-Web program, which, in combination with previous narrowband imaging targeting Hα emitters and deep millimeter surveys of CO emitters, provide a complete view of massive galaxy assembly in CLJ1001. In particular, JWST reveals a population of massive, extremely red cluster members in the long-wavelength bands that were invisible in previous Hubble Space Telescope (HST)/F160W imaging (HST-dark members). Based on this highly complete spectroscopic sample of member galaxies, we show that the spatial distribution of galaxies in CLJ1001 exhibits a strong central concentration, with the central galaxy density already resembling that of low-z clusters. Moreover, we reveal a “top-heavy” stellar mass function for the star-forming galaxies (SFGs), with an overabundance of massive SFGs piled up in the cluster core. These features strongly suggest that CLJ1001 is caught in a rapid transition, with many of its massive SFGs likely soon becoming quiescent. In the context of cluster formation, these findings suggest that the earliest clusters form from the inside out and top to bottom, with the massive galaxies in the core assembling first, followed by the less massive ones in the outskirts.

An internet-based cognitive behavioural intervention for adults with depression in Arabic-speaking countries: A randomized controlled trial.

Internet-based interventions have proven to be effective for the treatment of depression in different samples, but evidence from the Middle East and North Africa (MENA) region is scarce. The aim of this study was to investigate the acceptance and efficacy of an internet-based cognitive behavioural writing intervention for Arabic-speaking participants with depression living in the MENA region. A total of 259 participants (167 female, age in years: M=25.58, SD=6.39) with depressive symptoms indicative of clinical relevance were randomly allocated to a treatment group (TG; nTG=128) or a waitlist control group (WG; nWG=131). The TG received an internet-based intervention over a 6-week period. The primary outcome was depressive symptoms, and secondary outcomes were anxiety and quality of life (QoL). T-tests with change scores from pre- to post-treatment were used for data analyses. Intention-to-treat (ITT) as well as completer analyses were calculated. The ITT analysis revealed significant differences between the TG and WG in depression (T257=-4.89, p<0.001, d=0.70) and QoL (T257=3.39, p<0.001, d=0.47). Significant differences regarding anxiety symptoms (T257=3.25, p<0.05, d=0.53) were identified for the completer sample. The general dropout rate was 39.9%. The results indicate the feasibility and efficacy of an internet-based cognitive behavioural writing intervention in adults from Arabic-speaking countries. The development and implementation of such interventions can be used to improve access to psychological help and adequate treatment.

Factor Influencing Employee Retention in Cooperatives in the City of Mati, Davao Oriental

The general objective of this study was to identify the factors that influence employee retention in the cooperatives in the City of Mati. Specifically, to addressed the following specific objectives; (a) to determine the socio-demographic profile of cooperative employees in the City of Mati, (b) to determine the potent and least factor in employee retention, (c) to examine the significant difference in potent and least factor when group according to their socio-demographic profile. Descriptive research design was utilized in the study. It selected 317 respondents using complete enumeration sampling technique. Questionnaires were uploaded to KoBoToolbox and used in data collection. Then analyzed using descriptive and inferential. Frequency count and percentage, EFA, and ANOVA were utilized and presented in a table. The findings of the study revealed that majority of the cooperative employees were males ages 41 years old and above with less than five years in service. Also, most of their services offered were agricultural products. However, four factors were identified. Base pay was the potent factor and shows significant difference when group by age and length of service. However, organizational values and policy was the least factor and shows significant difference when group by age.

Monitoring the inverted exponentiated half logistic quantiles under the adaptive progressive type II hybrid censoring scheme

Numerous studies have solved the problem of monitoring statistical processes with complete samples. However, censored or incomplete samples are commonly encountered due to constraints such as time and cost. Adaptive progressive Type II hybrid censoring is a novel method with the advantages of saving time and improving efficiency. On the basis of this scheme, the problem of monitoring a downward shift in the quantiles of the inverted exponentiated half logistic distribution is considered. The conventional Shewhart control chart is insensitive to detect quantile shifts from faulty data processes that exhibit deviations from normality or symmetry. To overcome this limitation, Bootstrap control charts combining with the exponentially weighted moving average method based on the Bayesian estimation and maximum likelihood estimation are proposed, respectively. They are compared with the conventional Shewhart control chart via average run length through Monte-Carlo simulations. Finally, a real dataset related to the tensile strength of carbon fibers is employed to demonstrate the ascendancy of the Bootstrap control charts.

BAYES ESTIMATION OF EXPONENTIALLY DISTRIBUTED SURVIVAL DATA UNDER SYMMETRIC AND ASYMMETRIC LOSS FUNCTIONS

In a research study, population data are often not available, so the population parameter is unknown. Meanwhile, knowledge about the population parameter is needed to know the characteristics of the studied population. Therefore, it is needed to estimate the parameter of the population which can be estimated by sample data. There are several methods of parameter estimation which are generally classified into classical and Bayesian method. This research studied the Bayesian parameter estimation method to determine the parameters of the exponentially distributed survival data associated with the reliability measure of the estimates under symmetric and asymmetric loss functions for complete sample data in a closed form. The symmetric loss functions used in this research are Squared Error Loss Function (SELF) and Minimum Expected Loss Function (MELF). The asymmetric loss functions used are the General Entropy Loss Function (GELF) and Linex Loss Function (LLF). Performance of some loss functions used in this research are then compared through numerical simulation to select the best loss function in determining the parameter estimation of the exponentially distributed survival data. We also studied which loss function is best for underestimation and overestimation modeling. Based on simulation results, the Bayes estimates using MELF is the best method to estimate population parameters of the exponentially distributed survival data for the overestimation modeling, while LLF is the best for the underestimation modeling. We provided direct application in a case study of fluorescence lamp survival data. The results show that the best method to estimate the parameter of the standard fluorescence life data is using LLF for underestimation with and MELF for overestimation with .

Generalized fiducial inference for the generalized logistic distribution: Censored and uncensored cases

. This article primarily considers the statistical inference of the scale parameter, shape parameter, and reliability of the generalized logistic distribution in both censored and uncensored cases. For the progressively Type-II censored and complete samples, the frequentist method is utilized to construct asymptotic confidence intervals, and the Bayesian inference method is employed for constructing the point estimators as well as posterior credible intervals. Then the generalized fiducial method is applied to construct the fiducial point estimators and the fiducial confidence intervals. Furthermore, the non parametric generalized fiducial method is introduced to estimate the survival function. Simulation results demonstrate that the generalized fiducial method consistently outperforms other methods in terms of mean square error, average length, and empirical coverage. Finally, two real datasets are used to illustrate the proposed methods.

''Forbidden" stars in the eROSITA all-sky survey: X-ray emission from very late-type giants

We present the results of the first X-ray all-sky survey (eRASS1) performed by the eROSITA instrument aboard the Spectrum-Roentgen-Gamma (SRG) mission on X-ray emitting red giants and supergiants. Focusing on stars positioned at high galactic latitudes above 20$^ circ $, we constructed a complete sample of such objects using the Gaia DR3 catalog and identified a sample 96 stars that appear as bona fide entries in the eRASS1 source catalog. By again restricting the sample to objects nearer than 1300 pc and eliminating all catalog entries that are due to optical contamination, we ended up with a sample of 16 genuine red giant or supergiant X-ray sources most of which represent new X-ray detections . We present a low signal-to-noise X-ray spectrum of the nearby low-activity giant Arcturus obtained from a pointed observation with the XMM-Newton satellite and give a detailed account of our data analysis. We show that Arcturus-like X-ray emission cannot be the explanation for the X-ray emissions observed by eROSITA and provide a discussion of the possible nature of the detected X-ray sources.

Increasing AGN sample completeness using long-term near-infrared variability

Abstract In this work, we use 8 years of deep near-infrared imaging to select and study a new set of 601active galaxies identified through long-term near-infrared (NIR) variability in the UKIDSS Ultra Deep Survey (UDS). These objects are compared to 710X-ray bright AGN detected by the Chandra X-ray observatory. We show that infrared variability and X-ray emission select distinct sets of active galaxies, finding only a 37 per centoverlap of galaxies detected by both techniques and confirming NIR-variable AGN to be typically X-ray quiet. Examining the mass functions of the active galaxies shows that NIR variability detects AGN activity in galaxies over a significantly wider range of host stellar mass compared to X-ray detection. For example, at z ∼ 1, variable AGN are identified among approximately 1 per cent of galaxies in a roughly flat distribution above the stellar mass completeness limit ($&amp;gt;10^{9}\rm \, {\rm M}_{\odot }$), while X-ray detection primarily identifies AGN in galaxies of higher mass ($&amp;gt;10^{10}\rm \, {\rm M}_{\odot }$). We conclude that long-term near-infrared variability provides an important new tool for obtaining more complete samples of AGN in deep survey fields.

Intervention to increase colorectal cancer screening among emergency department patients: results from a randomised pilot study

BackgroundColorectal cancer (CRC) is the second leading cause of cancer-related deaths worldwide. Emergency departments (ED) represent a promising setting to address preventive health measures like CRC screening.ObjectivesThe current study adapted...

Thermally emitting isolated neutron star candidates from the SRG/eROSITA All-Sky Survey

The SRG/eROSITA All-Sky Survey (eRASS) allows for the creation of a complete sample of X-ray dim isolated neutron stars (XDINSs), which will significantly facilitate the study of their population properties, evolution, and connection to other families of isolated neutron stars (INSs). In this work, we conduct a systematic search for XDINSs on the eROSITA western Galactic hemisphere down to an X-ray flux limit of 10$^ and discuss the resulting candidate sample. Consistently with the properties of the known XDINSs, we selected all eRASS sources possessing a soft X-ray spectral distribution and that are unlikely to be associated with optical or infrared sources. Our selection criteria allowed us to recover all known XDINSs and previously proposed candidates. In addition, we put forward 33 new candidate members for dedicated follow-up identification campaigns. We found the resulting candidate sample to be about 30 -- 50&lt;!PCT!&gt; complete, mainly due to source confusion and the stringent cross-matching criteria adopted to select the most promising candidates for immediate follow-up investigation. The candidates of the sample presented here can be broadly divided into two groups: 13 rather soft and 20 hot and somewhat hard X-ray emitters. Interestingly, the remarkably thermal nature of the candidates in the first group as well as their spatial distribution, lack of known counterparts, and absence of significant flux variability agree well with the properties of other confirmed thermally emitting INSs. For the candidates in the second group, the current observational data do not allow one to discern between rotation-powered or recycled pulsars, cataclysmic variables, or quiescent neutron stars in binary systems or even to rule out an extragalactic nature. On the basis of population synthesis and the estimated source completeness of the search, we expect that between one and three new XDINSs are among the already singled-out list of XDINS candidates -- a long-sought increase in the proposed number of members of this elusive class of X-ray emitters.

Fluorescence lifetime of plant leaves with sub-nanosecond resolution

The study aimed to develop a measurement apparatus for in vivo chlorophyll-a (Chl-a) fluorescence decay measurements of plants by means of time correlated single photon counting. In this approach, sub-nanosecond laser pulses with a repetition rate of 10 MHz are applied to excite the sample, followed by the analysis of arrival times of the emitted fluorescence photons. Photon statistics are generated by iteratively fitting the sum of two exponential functions. The tool was tested on both plastid and in vivo leaf samples of Savoy cabbage (Brassica oleracea var. sabauda) with 3–4 subsequent leaves giving a complete sample coverage starting from the outermost. The Chl-a fluorescence lifetime exhibited a gradual increase in both the isolated plastid suspensions and the in vivo leaf samples towards the innermost leaf layers explained by an increase of natural absence of light (etiolation syndrome). Furthermore, cadmium stress and iron deficiency were investigated on treated sugar beet (Beta vulgaris) samples in vivo using TCSPS measurements. The reduced fluorescence quenching resulted in an increased fluorescence lifetime. Finally, a long-term (10 week) testing of the setup was carried out on Chl-retaining resurrection Haberlea rhodopensis plants protecting themselves by an elevated non-photochemical quenching yielding a decrease of fluorescence lifetime during their desiccation.

Inference for Compound Exponential XLindley Model with Applications to Lifetime Data

The creating of novel models essentially stems from the requirement to appropriate describe survival cases. In this study, a novel lifetime model with two parameters is proposed and studied for modeling more types of data used in different study cases, including symmetric, asymmetric, skewed, and complex datasets. The proposed model is obtained by compounding the exponential and XLindley distributions, and it is regarded as a strong competitor for the widely applied symmetrical and non-symmetrical models. Several characteristics and statistical properties are investigated. The unknown parameters of the recommended model for the complete sample are estimated using two estimation methods; notably, maximum likelihood estimation and Bayes techniques based on several loss functions as well as an approximate tool are used to construct the confidence intervals for the unknown parameters of the suggested model. The estimation procedures are compared using a Monte Carlo simulation experiment to demonstrate their effectiveness. In the end, the applicability and flexibility of the recommended model are conducted using two real lifetime datasets. In our illustration, we compare the practicality of the recommended model with several well-known competing distributions.

Group-Based Acceptance and Commitment Therapy for PTSD in a HMO Psychiatry Clinic: An Open Trial

AbstractMindfulness and acceptance-based approaches have shown promise as alternative interventions to trauma-focused therapies for PTSD. This open trial examined the potential effectiveness of an 8-session Acceptance and Commitment Therapy (ACT) group in reducing psychiatric symptoms and improving quality of life in outpatient adults (N = 86, 79% female) receiving treatment for PTSD in a health maintenance organization (HMO) psychiatry clinic. The group therapy was an adjunct to usual care and utilized the six core processes of ACT: acceptance, cognitive defusion, mindfulness, self-as-context, values, and committed action. Participants completed self-report measures of PTSD symptoms, depression, anxiety and quality of life; and self-report ACT-specific process measures of acceptance, cognitive defusion and mindfulness at pretreatment, posttreatment and 3-month follow-up. Repeated measures analyses of variance conducted with a completer sample (n = 55) demonstrated significant improvements on all variables with medium to large effect sizes at posttreatment and follow-up. The study findings support further investigation in a randomized controlled trial.

Electric Susceptibility at Partial Coverage of a Circular One-Side Access Capacitive Sensor with Rigid Polyurethane Foams.

The capability of dielectric measurements was significantly increased with the development of capacitive one-side access physical sensors. Complete samples give no opportunity to study electric susceptibility at a partial coverage of the one-side access sensor's active area; therefore, partial samples are proposed. The electric susceptibility at the partial coverage of a circular one-side access sensor with cylinders and shells is investigated for polyurethane materials. The implementation of the relative partial susceptibility permitted us to transform the calculated susceptibility data to a common scale of 0.0-1.0 and to outline the main trends for PU materials. The partial susceptibility, relative partial susceptibility, and change rate of relative partial susceptibility exhibited dependence on the coverage coefficient of the sensor's active area. The overall character of the curves for the change rate of the relative partial susceptibility, characterised by slopes of lines and the ratio of the change rate in the centre and near the gap, corresponds with the character of the surface charge density distribution curves, calculated from mathematical models. The elaborated methods may be useful in the design and optimization of capacitive OSA sensors of other configurations of electrodes, independent of the particular technical solution.

The postcranial variability of Quaternary European rhinoceroses: the case study of Stephanorhinus hundsheimensis from the Middle Pleistocene site of Contrada Monticelli (Apulia, southern Italy)

ABSTRACT Five rhinoceros species, mainly distinguishable through cranial, mandibular and dental morphology, were recognized during the Quaternary across Europe. The postcranial morphology of these taxa is quite variable, with strong superposition among species, especially between Stephanorhinus etruscus and Stephanorhinus hundsheimensis. Here, the complete sample including 25 postcranial bones from the early Middle Pleistocene site of Contrada Monticelli (Apulia, southern Italy) is described and compared through morphological and biometric analyses. A few bones, in addition to cranial and mandibular remains from this site, have been previously referred to Stephanorhinus hundsheimensis. We explored the morphological variability of Stephanorhinus hundsheimensis from Contrada Monticelli against the diagnostic characters described in the literature. The size variation of the Contrada Monticelli sample is also investigated, through a comparison with other Quaternary European rhinoceros samples. Our results indicate a wide morphological variability with several distinct characters and a strong morphological affinity between Stephanorhinus etruscus and S. hundsheimensis. Our results suggest that Stephanorhinus hundsheimensis from Contrada Monticelli is a species with a high degree of intraspecific variability, possibly a hybrid population or a population including two morphotypes of the same species.

Active Galactic Nuclei Selection and Demographics: A New Age with JWST/MIRI

Understanding the coevolution of supermassive black holes and their host systems requires a comprehensive census of active galactic nuclei (AGNs) behavior across a wide range of redshift, luminosity, obscuration level, and galaxy properties. We report significant progress with JWST toward this goal from the Systematic Mid-infrared Instrument Legacy Extragalactic Survey (SMILES). Based on comprehensive spectral energy distribution (SED) analysis of 3273 MIRI-detected sources, we identify 217 AGN candidates over a survey area of ∼34 arcmin2, including a primary sample of 111 AGNs in normal massive galaxies (M * > 109.5 M ☉) at z ∼ 0–4, an extended sample of 86 AGN candidates in low-mass galaxies (M * < 109.5 M ☉), and a high-z sample of 20 AGN candidates at z ∼ 4–8.4. Notably, about 80% of our MIRI-selected AGN candidates are new discoveries despite the extensive pre-JWST AGN searches. Even among the massive galaxies where the previous AGN search is believed to be thorough, 34% of the MIRI AGN identifications are new, highlighting the impact of obscuration on previous selections. By combining our results with the efforts at other wavelengths, we build the most complete AGN sample to date and examine the relative performance of different selection techniques. We find the obscured AGN fraction increases from L AGN,bol ∼ 1010 L ⊙ to 1011 L ⊙ and then drops toward higher luminosity. Additionally, the obscured AGN fraction gradually increases from z ∼ 0 to z ∼ 4 with most high-z AGNs obscured. We discuss how AGN obscuration, intrinsic SED variations, galaxy contamination, survey depth, and selection techniques complicate the construction of a complete AGN sample.

Altered Histone Deacetylase Versus Histone Acetyltransferase Activity in Peripheral Blood Mononuclear Cells from Apparently Healthy Young Adults with Prior Exposure to Adverse Childhood Experiences

Introduction: Adverse childhood experiences (ACEs) are severe psychosocial stressors which occur in early developmental periods and promote later life cardiometabolic disease in a dose-dependent manner. ACE-related risk may be mediated in part by epigenetic alterations, particularly in myeloid lineage immune cells. Histone acetylation is a dynamic epigenetic process that regulates gene expression via modification of chromatin structure and is dictated by the opposed actions of histone acetyltransferases (HATs) and histone deacetylases (HDACs). An appropriate balance between HDAC and HAT activity is critical for maintaining cellular function, and an imbalance has been implicated in the premature development of human diseases including cardiometabolic disease. Glucocorticoids (e.g., cortisol) are well-described regulators of immune function and can influence histone acetylation through glucocorticoid receptors. Thus, we hypothesized that HDAC:HAT activity would be altered in young adults with prior ACE exposure, and that HDAC:HAT activity would be associated with salivary cortisol concentrations. Purpose: We examined HDAC:HAT activity in peripheral blood mononuclear cells (PBMCs) in apparently healthy young adults with versus without prior exposure to ACEs and explored whether circulating cortisol was associated with HDAC:HAT activity. Methods: PBMCs were isolated from whole blood collected within 1 hour of wakening from 27 young adult women who reported high (≥ 4 ACEs) ACE exposure (ACE4+; mean ± SD; age = 21 ± 3 y, BMI = 25.7 ± 4.5 kg/m2) and from 14 young adult women who reported no ACE exposure (CON; age = 21 ± 3 y, BMI = 26.1 ± 6 kg/m2). Salivary cortisol was also collected within 1 hour of wakening and 8 hours later. Nuclear proteins were isolated from PBMCs and HDAC and HAT activities were quantified by commercially available assay kits. Salivary cortisol was quantified via ELISA. Independent samples t-tests were used to examine differences in HDAC:HAT, HDAC, and HAT activity. Pearson correlation coeffcients were used to examine the relation of HDAC:HAT activity with morning and afternoon cortisol concentrations, and the diurnal cortisol slope in the complete sample. Results: HDAC:HAT activity was reduced in ACE4+ versus CON (140.4 ± 52 vs. 189.6 ± 42 arbitrary units, p = 0.004). This difference was primarily driven by reduced HDAC activity (13,706 ± 4,696 vs. 18,060 ± 3,641 ng/h/mg, p = 0.004) in ACE4+ versus CON, whereas HAT activity was not different (99.7 ± 11 vs. 96.1 ± 9 ng/h/mg, p = 0.30). HDAC:HAT activity was not associated with morning (r=0.27, p = 0.07) or afternoon (r=-0.23, p = 0.16) cortisol, but was associated with the diurnal cortisol slope (r=-0.37, p = 0.02). Discussion: Young adults with prior ACE exposure have an altered balance between HDAC and HAT activity in PBMCs that appears to be driven by lower HDAC activity, and which is negatively related to diurnal cortisol slope. These findings warrant further exploration, particularly regarding the specific HDACs implicated, their role in reduced cellular function as it relates to disease risk, and whether these can be modulated to improve function among those with ACE exposure. Further, our data support future examination of the role of glucocorticoid signaling in regulating histone acetylation in this population. This study was supported by the Center for Integrative Research on Childhood Adversity (Grant #P20GM109097), through the National Institute of General Medical Sciences (to NDMJ and TKT). This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Genomic instability and oxidative stress markers in pregnant women presenting fetal malformation

ObjectivesTo evaluated the oxidative stress and genomic instability in the peripheral blood of pregnant women with fetal malformation (PWFM), pregnant women (PW) and non-pregnant women (NPW). MethodsProtein carbonyl test (CP), thiobarbituric acid reactive substances test (TBARS), catalase enzyme activity (CAT), micronucleus assay with blocking cell cytokinesis - cytome (CBMN - cyt) and myeloperoxidase (MPO) assay were performed. Fetal karyotype and alpha-fetoprotein (AFP) in combination with ultrasound, were assessed to allow the diagnosis of fetal malformation. ResultsAn increase in CP, CAT and micronucleus was observed in the third trimester of pregnancy of PW compared to NPW. PWFM presented similar parameter analysis to PW, as well as in the comparison of the second trimesters of this groups. PWFM in the third gestational trimester showed a reduction in CP, nucleoplasmic bridge (NPB) and CAT compared to the same gestational period of PW. Considering the complete sample, participants who usually drank coffee daily had an increased frequency of nuclear buds (NBUD); CAT was decreased in whites compared to other ethnic groups. ConclusionsPregnancy is a physiological process that can lead to changes in oxidative stress markers and genomic instability through its course and compared to non-pregnant women.

First Digit Distributions of Gamma-Ray Bursts

The occurrence of the first significant digits from real world sources is usually not equally distributed, but is consistent with a logarithmic distribution instead, known as Benford’s law. In this work, we perform a comprehensive investigation on the first digit distributions of the duration, fluence, and energy flux of gamma-ray bursts (GRBs) for the first time. For a complete GRB sample detected by the Fermi satellite, we find that the first digits of the duration and fluence adhere to Benford’s law. However, the energy flux shows a significant departure from this law, which may be due to the fact that a considerable part of the energy flux measurements is restricted by lack of spectral information. Based on the conventional duration classification scheme, we also check if the durations and fluences of long and short GRBs (with duration T 90 > 2 s and T 90 ≤ 2 s, respectively) obey Benford’s law. We find that the fluences of both long and short GRBs still agree with the Benford distribution, but their durations do not follow Benford’s law. Our results hint that the long–short GRB classification scheme does not directly represent the intrinsic physical classification scheme.

Optical Photometric Indicators of Galaxy Cluster Relaxation

The most dynamically relaxed clusters of galaxies play a special role in cosmological studies as well as astrophysical studies of the intracluster medium (ICM) and active galactic nucleus feedback. While high-spatial-resolution imaging of the morphology of the ICM has long been the gold standard for establishing a cluster’s dynamical state, such data are not available from current or planned surveys, and thus require separate, pointed follow-up observations. With optical and/or near-IR photometric imaging, and red-sequence cluster finding results from those data, expected to be ubiquitously available for clusters discovered in upcoming optical and millimeter-wavelength surveys, it is worth asking how effectively photometric data alone can identify relaxed cluster candidates, before investing in, e.g., high-resolution X-ray observations. Here we assess the ability of several simple photometric measurements, based on the redMaPPer cluster finder run on Sloan Digital Sky Survey data, to reproduce X-ray classifications of dynamical state for an X-ray selected sample of massive clusters. We find that two simple metrics contrasting the bright central galaxy (BCG) to other cluster members can identify a complete sample of relaxed clusters with a purity of ∼40% in our data set. Including minimal ICM information in the form of a center position increases the purity to ∼60%. However, all three metrics depend critically on correctly identifying the BCG, which is presently a challenge for optical red-sequence cluster finders.