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Rumination is a significant risk factor for psychopathology in adolescent girls and is associated with heightened and prolonged physiological arousal following social rejection. However, no study has examined how rumination relates to neural responses to social rejection in adolescent girls; thus, the current study aimed to address this gap. Adolescent girls (N = 116; ages 16.95-19.09) self-reported on their rumination tendency and completed a social evaluation fMRI task where they received fictitious feedback (acceptance, rejection) from peers they liked or disliked. Rejection-related neural activity and subgenual anterior cingulate cortex (sgACC) connectivity were regressed on rumination, controlling for rejection sensitivity and depressive symptoms. Rumination was associated with distinctive neural responses following rejection from liked peers including increased neural activity in the precuneus, inferior parietal gyrus, dorsolateral prefrontal cortex, and supplementary motor area (SMA) and reduced sgACC connectivity with multiple regions including medial prefrontal cortex, precuneus and ventrolateral prefrontal cortex. Greater precuneus and SMA activity mediated the effect of rumination on slower response time to report emotional state after receiving rejection from liked peers. These findings provide clues for distinctive cognitive processes (e.g., mentalizing, conflict processing, memory encoding) following the receipt of rejection in girls with high levels of rumination.

BACKGROUND: Postpartum haemorrhage (PPH), defined as blood loss of 500 mL or more after childbirth, is the leading cause of maternal mortality worldwide. It is possible to prevent complications of PPH with timely and appropriate detection and management. However, implementing the best methods of PPH prevention, detection and management can be challenging, particularly in low- and middle-income countries. OBJECTIVES: Our overall objective was to explore the perceptions and experiences of women, community members, lay health workers, and skilled healthcare providers who have experience with PPH or with preventing, detecting, and managing PPH, in community or health facility settings. SEARCH METHODS: We searched MEDLINE, CINAHL, Scopus, and grey literature on 13 November 2022 with no language restrictions. We then performed reference checking and forward citation searching of the included studies. SELECTION CRITERIA: We included qualitative studies and mixed-methods studies with an identifiable qualitative component. We included studies that explored perceptions and experiences of PPH prevention, detection, and management among women, community members, traditional birth attendants, healthcare providers, and managers. DATA COLLECTION AND ANALYSIS: We used three-stage maximum variation sampling to ensure diversity in terms of relevance of the study to the review objectives, richness of data, and coverage of critical contextual elements: setting (region, country income level), perspective (type of participant), and topic (prevention, detection, management). We extracted data using a data extraction form designed for this review. We used thematic synthesis to analyse and synthesise the evidence, and we used the GRADE-CERQual (Confidence in the Evidence from Reviews of Qualitative research) approach to assess our confidence in each finding. To identify factors that may influence intervention implementation, we mapped each review finding to the Theoretical Domains Framework (TDF) and the Capability, Motivation, and Opportunity model of Behaviour change (COM-B). We used the Behaviour Change Wheel to explore implications for practice. MAIN RESULTS: We included 67 studies and sampled 43 studies for our analysis. Most were from low- or middle-income countries (33 studies), and most included the perspectives of women and health workers. We downgraded our confidence in several findings from high confidence to moderate, low, or very-low confidence, mainly due to concerns about how the studies were conducted (methodological limitations) or concerns about missing important perspectives from some types of participants or in some settings (relevance). In many communities, bleeding during and after childbirth is considered normal and necessary to expel impurities and restore and cleanse the womans body after pregnancy and birth (moderate confidence). In some communities, people have misconceptions about causes of PPH or believe that PPH is caused by supernatural powers or evil spirits that punish women for ignoring or disobeying social rules or for past mistakes (high confidence). For women who give birth at home or in the community, female family members or traditional birth attendants are the first to recognise excess bleeding after birth (high confidence). Family members typically take the decision of whether and when to seek care if PPH is suspected, and these family members are often influenced by trusted traditional birth attendants or community midwives (high confidence). If PPH is identified for women birthing at home or in the community, decision-making about the subsequent referral and care pathway can be multifaceted and complex (high confidence). First responders to PPH are not always skilled or trained healthcare providers (high confidence). In health facilities, midwives may consider it easy to implement visual estimation of blood loss with a kidney dish or under-pad, but difficult to accurately interpret the amount of blood loss (very low confidence). Quantifying (rather than estimating) blood loss may be a complex and contentious change of practice for health workers (low confidence). Women who gave birth in health facilities and experienced PPH described it as painful, embarrassing, and traumatic. Partners or other family members also found the experience stressful. While some women were dissatisfied with their level of involvement in decision-making for PPH management, others felt health workers were best placed to make decisions (moderate confidence). Inconsistent availability of resources (drugs, medical supplies, blood) causes delays in the timely management of PPH (high confidence). There is limited availability of misoprostol in the community owing to stockouts, poor supply systems, and the difficulty of navigating misoprostol procurement for community health workers (moderate confidence). Health workers described working on the maternity ward as stressful and intense due to short staffing, long shifts, and the unpredictability of emergencies. Exhausted and overwhelmed staff may be unable to appropriately monitor all women, particularly when multiple women are giving birth simultaneously or on the floor of the health facility; this could lead to delays in detecting PPH (moderate confidence). Inadequate staffing, high turnover of skilled health workers, and appointment of lower-level cadres of health workers are key challenges to the provision of quality PPH care (high confidence). Through team-based simulation training, health workers of different cadres (doctors, midwives, lay health workers) can develop a shared mental model to help them work quickly, efficiently, and amicably as a team when managing women with PPH (moderate confidence). AUTHORS CONCLUSIONS: Our findings highlight how improving PPH prevention, detection, and management is underpinned by a complex system of interacting roles and behaviours (community, women, health workers of different types and with different experiences). Multiple individual, sociocultural, and environmental factors influence the decisions and behaviours of women, families, communities, health workers, and managers. It is crucial to consider the broader health and social systems when designing and implementing PPH interventions to change or influence these behaviours. We have developed a set of prompts that may help programme managers, policymakers, researchers, and other key stakeholders to identify and address factors that affect implementation and scale-up of interventions to improve PPH prevention, detection, and management.

Retinal hemorrhages in pediatric patients can be a diagnostic challenge for ophthalmologists. These hemorrhages can occur due to various underlying etiologies, including abusive head trauma, accidental trauma, and medical conditions. Accurate identification of the etiology is crucial for appropriate management and legal considerations. In recent years, deep learning techniques have shown promise in assisting healthcare professionals in making more accurate and timely diagnosis of a variety of disorders. We explore the potential of deep learning approaches for differentiating etiologies of pediatric retinal hemorrhages. Our study, which spanned multiple centers, analyzed 898 images, resulting in a final dataset of 597 retinal hemorrhage fundus photos categorized into medical (49.9%) and trauma (50.1%) etiologies. Deep learning models, specifically those based on ResNet and transformer architectures, were applied; FastViT-SA12, a hybrid transformer model, achieved the highest accuracy (90.55%) and area under the receiver operating characteristic curve (AUC) of 90.55%, while ResNet18 secured the highest sensitivity value (96.77%) on an independent test dataset. The study highlighted areas for optimization in artificial intelligence (AI) models specifically for pediatric retinal hemorrhages. While AI proves valuable in diagnosing these hemorrhages, the expertise of medical professionals remains irreplaceable. Collaborative efforts between AI specialists and pediatric ophthalmologists are crucial to fully harness AIs potential in diagnosing etiologies of pediatric retinal hemorrhages.

Abstract Background This paper documents changes in the prevalence and intensity of soil-transmitted helminth (STH) infections in the Geshiyaro project in the Wolaita zone of Southern Ethiopia. Methods The Geshiyaro project comprises three intervention arms. Arm 1 is subdivided into the Arm 1 pilot (one district) and Arm 1 (four other districts), both receiving integrated community-wide mass drug administration MDA (cMDA) with intensive water, sanitation, and hygiene (WaSH) interventions. Arm 2 involves 18 districts with cMDA interventions plus the existing government-led One WaSH program, while Arm 3 serves as a control with school-based MDA (sMDA) interventions plus the existing government-led One WaSH program in three districts. The study is designed as a cohort investigation over time, with the establishment of longitudinal sentinel sites where infection levels are assessed annually. A total of 45 longitudinal parasitological surveillance sentinel sites are being used across all three intervention arms to monitor STH prevalence and intensity of infection. From each of the 45 sentinel sites, 150 individuals were randomly selected, stratified by age and gender. The t-test and analysis of variance (ANOVA) were employed to compare infection prevalence and intensity across the three study arms over time. Results The prevalence of STH decreased significantly from 34.5% (30.6%, 38.5%) in 2019 to 10.6% (8.3%, 13.4%) in 2022/2023 (df = 1, P

Abstract Background Hypertension is a common heart condition in the United States (US) and severely impacts racial and ethnic minority populations. While the understanding of hypertension has grown considerably, there remain gaps in US healthcare research. Specifically, there is a lack of focus on undiagnosed and uncontrolled hypertension in primary care settings. Aim The present study investigates factors associated with undiagnosed and uncontrolled hypertension in primary care patients with hypertension. The study also examines whether Black/African Americans are at higher odds of undiagnosed and uncontrolled hypertension compared to White patients. Methods A cross-sectional study was conducted using electronic health records (EHR) data from the University of Utah primary care health system. The study included for analysis 24,915 patients with hypertension who had a primary care visit from January 2020 to December 2020. Multivariate logistic regression assessed the odds of undiagnosed and uncontrolled hypertension. Results Among 24,915 patients with hypertension, 28.6% (n = 7,124) were undiagnosed and 37.4% (n = 9,319) were uncontrolled. Factors associated with higher odds of undiagnosed hypertension included age 18–44 (2.05 [1.90–2.21]), Hispanic/Latino ethnicity (1.13 [1.03–1.23]), Medicaid (1.43 [1.29-1.58]) or self-pay (1.32 [1.13-1.53]) insurance, CCI 1-2 (1.79 [1.67-1.92]), and LDL-c ≥ 190 mg/dl (3.05 [1.41–6.59]). For uncontrolled hypertension, risk factors included age 65+ (1.11 [1.08–1.34]), male (1.24 [1.17–1.31]), Native-Hawaiian/Pacific Islander (1.32 [1.05-1.62]) or Black/African American race (1.24 [1.11-1.57]) , and self-pay insurance (1.11 [1.03-1.22]). Conclusion The results of this study suggest that undiagnosed and uncontrolled hypertension is prevalent in primary care. Critical risk factors for undiagnosed hypertension include younger age, Hispanic/Latino ethnicity, very high LDL-c, low comorbidity scores, and self-pay or medicaid insurance. For uncontrolled hypertension, geriatric populations, males, Native Hawaiian/Pacific Islanders, and Black/African Americans, continue to experience greater burdens than their counterparts. Substantial efforts are needed to strengthen hypertension diagnosis and to develop tailored hypertension management programs in primary care, focusing on these populations.

Abstract Background Problematic anger, characterized by excessive frequency, intensity, and duration of anger which causes substantial emotional distress and functional interference, poses a marked challenge in military populations. Despite its importance, research on this topic is limited. This study contributes to the literature by exploring problematic anger in a large sample of Norwegian military personnel who served in NATO missions in Afghanistan. Methods All Norwegian military personnel who deployed to Afghanistan between 2001 and 2020 were sent a link to a cross-sectional web-based survey by the Joint Medical Services of the Norwegian Armed Forces in 2020. A total of 6205 individuals (response rate: 67.7%) participated. The cross-sectional survey assessed problematic anger, mental and physical health, war zone stressor exposure, and quality of life. Results Overall, 8.4% of participants reported problematic anger. Mental health disorders, deployment-related shame and guilt, chronic pain, and challenges with the military-to-civilian transition were independently associated with problematic anger. Both staying in service and maintaining a part-time connection with the military as a reservist mitigated the risk of problematic anger after deployment, compared to complete separation from military service. Conclusion Findings demonstrate a sizeable prevalence of problematic anger among veterans of combat deployments. Given the associations between problematic anger and mental health disorders, chronic pain, and transition challenges, interventions designed to mitigate problematic anger need to be multi-faceted, including the possibility of maintaining an ongoing connection to military service. By reducing the risk of problematic anger, occupational, interpersonal and health outcomes may be improved for service members. Future research should examine the impact of problematic anger on adjustment over time, prevention strategies, and problematic anger in other high-risk occupations.

Abstract Background Cancer treatment–related cognitive impairment (CTRCI) can substantially reduce the quality of life of cancer survivors. Many treatments of CTRCI have been evaluated in randomized controlled trials (RCTs), including psychological interventions, pharmacologic interventions, and other therapies. There is a pressing need to establish the benefits and harms of previously studied CTRCI treatments. The proposed systematic review and network meta-analyses will assess the relative efficacy and safety of competing interventions for the management of CTRCI. Methods In consultation with the review team, an experienced medical information specialist will draft electronic search strategies for MEDLINE®, Embase, CINAHL, PsycINFO, and the Cochrane Trials Registry. We will seek RCTs of interventions for the treatment of CTRCI in adults with any cancer, except cancers/metastases of the central nervous system. Due to the anticipated high search yields, dual independent screening of citations will be expedited by use of an artificial intelligence/machine learning tool. The co-primary outcomes of interest will be subjective and objective cognitive function. Secondary outcomes of interest will include measures of quality of life, mental and physical health symptoms, adherence to treatment, and harms (overall and treatment-related harms and harms associated with study withdrawal), where feasible, random-effects meta-analyses and network meta-analyses will be pursued. We will address the anticipated high clinical and methodological heterogeneity through meta-regressions, subgroup analyses, and/or sensitivity analyses. Discussion The proposed systematic review will deliver a robust comparative evaluation of the efficacy and safety of existing therapies for the management of CTRCI. These findings will inform clinical decisions, identify evidence gaps, and identify promising therapies for future evaluation in RCTs.

Abstract Background Simulation is an important tool for assessing the performance of statistical methods for the analysis of data and for the planning of studies. While methods are available for the simulation of correlated binary random variables, all have significant practical limitations for simulating outcomes from longitudinal cluster randomised trial designs, such as the cluster randomised crossover and the stepped wedge trial designs. For these trial designs as the number of observations in each cluster increases these methods either become computationally infeasible or their range of allowable correlations rapidly shrinks to zero. Methods In this paper we present a simple method for simulating binary random variables with a specified vector of prevalences and correlation matrix. This method allows for the outcome prevalence to change due to treatment or over time, and for a ‘nested exchangeable’ correlation structure, in which observations in the same cluster are more highly correlated if they are measured in the same time period than in different time periods, and where different individuals are measured in each time period. This means that our method is also applicable to more general hierarchical clustered data contexts, such as students within classrooms within schools. The method is demonstrated by simulating 1000 datasets with parameters matching those derived from data from a cluster randomised crossover trial assessing two variants of stress ulcer prophylaxis. Results Our method is orders of magnitude faster than the most well known general simulation method while also allowing a much wider range of correlations than alternative methods. An implementation of our method is available in an R package NestBin. Conclusions This simulation method is the first to allow for practical and efficient simulation of large datasets of binary outcomes with the commonly used nested exchangeable correlation structure. This will allow for much more effective testing of designs and inference methods for longitudinal cluster randomised trials with binary outcomes.

Abstract Background To describe the algorithm and investigate the efficacy of a novel systematic review automation tool “the Deduplicator” to remove duplicate records from a multi-database systematic review search. Methods We constructed and tested the efficacy of the Deduplicator tool by using 10 previous Cochrane systematic review search results to compare the Deduplicator’s ‘balanced’ algorithm to a semi-manual EndNote method. Two researchers each performed deduplication on the 10 libraries of search results. For five of those libraries, one researcher used the Deduplicator, while the other performed semi-manual deduplication with EndNote. They then switched methods for the remaining five libraries. In addition to this analysis, comparison between the three different Deduplicator algorithms (‘balanced’, ‘focused’ and ‘relaxed’) was performed on two datasets of previously deduplicated search results. Results Before deduplication, the mean library size for the 10 systematic reviews was 1962 records. When using the Deduplicator, the mean time to deduplicate was 5 min per 1000 records compared to 15 min with EndNote. The mean error rate with Deduplicator was 1.8 errors per 1000 records in comparison to 3.1 with EndNote. Evaluation of the different Deduplicator algorithms found that the ‘balanced’ algorithm had the highest mean F1 score of 0.9647. The ‘focused’ algorithm had the highest mean accuracy of 0.9798 and the highest recall of 0.9757. The ‘relaxed’ algorithm had the highest mean precision of 0.9896. Conclusions This demonstrates that using the Deduplicator for duplicate record detection reduces the time taken to deduplicate, while maintaining or improving accuracy compared to using a semi-manual EndNote method. However, further research should be performed comparing more deduplication methods to establish relative performance of the Deduplicator against other deduplication methods.

Abstract Demequina, commonly found in coastal and marine environments, represents a genus of Actinomycetes. In this study, strains Demequina PMTSA13T and OYTSA14 were isolated from the rhizosphere of Capsicum annuum, leading to the discovery of a novel species, Demequina capsici. Bacteria play a significant role in plant growth, yet there have been no reports of the genus Demequina acting as plant growth-promoting bacteria (PGPB). Comparative genomics analysis revealed ANI similarity values of 74.05–80.63% for PMTSA13T and 74.02–80.54% for OYTSA14, in comparison to various Demequina species. The digital DNA-DNA hybridization (dDDH) values for PMTSA13T ranged from 19 to 39%, and 19.1–38.6% for OYTSA14. Genome annotation revealed the presence of genes associated with carbohydrate metabolism and transport, suggesting a potential role in nutrient cycling and availability for plants. These strains were notably rich in genes related to ‘carbohydrate metabolism and transport (G)’, according to their Cluster of Orthologous Groups (COG) classification. Additionally, both strains were capable of producing auxin (IAA) and exhibited enzymatic activities for cellulose degradation and catalase. Furthermore, PMTSA13T and OYTSA14 significantly induced the growth of Arabidopsis thaliana seedlings primarily attributed to their capacity to produce IAA, which plays a crucial role in stimulating plant growth and development. These findings shed light on the potential roles of Demequina strains in plant–microbe interactions and agricultural applications. The type strain is Demequina capsici PMTSA13T (= KCTC 59028T = GDMCC 1.4451T), meanwhile OYTSA14 is identified as different strains of Demequina capsici.

Abstract Background Cancer-associated malnutrition is associated with worse symptom severity, functional status, quality of life, and overall survival. Malnutrition in cancer patients is often under-recognized and undertreated, emphasizing the need for standardized pathways for nutritional management in this population. The objectives of this study were to (1) investigate the relationship between malnutrition risk and self-reported symptom severity scores in an adult oncology outpatient population and (2) to identify whether a secondary screening tool for malnutrition risk (abPG-SGA) should be recommended for patients with a specific ESAS-r cut-off score or group of ESAS-r cut-off scores. Methods A single-institution retrospective cross-sectional study was conducted. Malnutrition risk was measured using the Abridged Patient-Generated Subjective Global Assessment (abPG-SGA). Cancer symptom severity was measured using the Revised Edmonton Symptom Assessment System (ESAS-r). In accordance with standard institutional practice, patients completed both tools at first consult at the cancer centre. Adult patients who completed the ESAS-r and abPG-SGA on the same day between February 2017 and January 2020 were included. Spearman’s correlation, Mann Whitney U tests, receiver operating characteristic curves, and binary logistic regression models were used for statistical analyses. Results 2071 oncology outpatients met inclusion criteria (mean age 65.7), of which 33.6% were identified to be at risk for malnutrition. For all ESAS-r parameters (pain, tiredness, drowsiness, nausea, lack of appetite, shortness of breath, depression, anxiety, and wellbeing), patients at risk for malnutrition had significantly higher scores (P 14 yielded a sensitivity of 87.9% and specificity of 62.8%. Conclusion Malnutrition risk as measured by the abPG-SGA and symptom severity scores as measured by the ESAS-r are positively and significantly correlated. Given the widespread use of the ESAS-r in cancer care, utilizing specific ESAS-r cut-offs to trigger malnutrition screening could be a viable way to identify cancer patients at risk for malnutrition.

Abstract Hypertension disparities persist and remain high among racial and ethnic minority populations in the United States (US). Data‐driven approaches based on electronic health records (EHRs) in primary care are seen as a strong opportunity to address this situation. This qualitative study evaluated the development, sustainability, and usability of an EHR‐integrated hypertension disparities dashboard for health care professionals in primary care. Ten semi‐structured interviews, exploring the approach and sustainability, as well as eight usability interviews, using the think aloud protocol were conducted with quality improvement managers, data analysts, program managers, evaluators, and primary care providers. For the results, dashboard development steps include having clear goals, defining a target audience, compiling data, and building multidisciplinary teams. For sustainability, the dashboard can enhance understanding of the social determinants of health or to inform QI projects. In terms of dashboard usability, positive aspects consisted of the inclusion of summary pages, patient's detail pages, and hover‐over interface. Important design considerations were refining sorting functions, gender inclusivity, and increasing dashboard visibility. In sum, an EHR‐driven dashboard can be a novel tool for addressing hypertension disparities in primary care. It offers a platform where clinicians can identify patients for culturally tailored interventions. Factors such as physician time constraints, data definitions, comprehensive patient demographic information, end‐users, and future sustenance, should be considered before implementing a dashboard. Additional research is needed to identify practices for integrating a dashboard into clinical workflow for hypertension.

Abstract Background Acute mesenteric ischaemia (AMI) is a life-threatening disease where early diagnosis is critical to avoid morbidity and mortality from extensive irreversible bowel necrosis. Appropriate prediction of presence of bowel necrosis is currently not available but would help to choose the optimal method of treatment. The study aims to identify combinations of biomarkers that can reliably identify AMI and distinguish between potentially reversible and irreversible bowel ischaemia. Methods This is a prospective multicentre study. Adult patients with clinical suspicion of AMI (n = 250) will be included. Blood will be sampled on admission, at and after interventions, or during the first 48 h of suspicion of AMI if no intervention undertaken. Samples will be collected and the following serum or plasma biomarkers measured at Tartu University Hospital laboratory: intestinal fatty acid-binding protein (I-FABP), alpha-glutathione S-transferase (Alpha- GST), interleukin 6 (IL-6), procalcitonin (PCT), ischaemia-modified albumin (IMA), D-lactate, D-dimer, signal peptide-CUB-EGF domain-containing protein 1 (SCUBE-1) and lipopolysaccharide-binding protein (LBP). Additionally, more common laboratory markers will be measured in routine clinical practice at study sites. Diagnosis of AMI will be confirmed by computed tomography angiography, surgery, endoscopy or autopsy. Student’s t or Wilcoxon rank tests will be used for comparisons between transmural vs. suspected (but not confirmed) AMI (comparison A), confirmed AMI of any stage vs suspected AMI (comparison B) and non-transmural AMI vs transmural AMI (comparison C). Optimal cut-off values for each comparison will be identified based on the AUROC analysis and likelihood ratios calculated. Positive likelihood ratio > 10 (> 5) and negative likelihood ratio

Abstract Background The phylum Bacteroidota represents a significant proportion of heterotrophic bacteria found in marine ecosystems. Members of the phylum Bacteroidota are actively involved in the degradation of biopolymers such as polysaccharides and proteins. Bacteroidota genomes exhibit a significant enrichment of various enzymes, including carbohydrate-active enzymes (CAZymes), carboxypeptidases, esterases, isomerases, peptidases, phosphatases, and sulfatases. The genus Marivirga, a member of the family Marivirgaceae within the phylum Bacteroidota, comprises six documented species. During a microbial diversity study, three novel Marivirga strains (BKB1-2 T, ABR2-2, and BDSF4-3 T) were isolated from the West Sea, Republic of Korea. Results To explore the taxonomic status and genomic characteristics of the novel isolates, we employed a polyphasic taxonomic approach, which included phylogenetic, chemotaxonomic and comprehensive genome analysis. The three isolates were Gram-stain-negative, aerobic, rod-shaped, moderately halophilic, and had a gliding motility. The average nucleotide identity (ANI) and digital DNA-DNA hybridization (dDDH) values among the two isolates, BKB1-2 T and BDSF4-3 T, and the six reference strains were 70.5–76.5% for ANI and 18.1–25.7% for dDDH. Interestingly, the Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that the strains harbor genes for a comprehensive pathway for dissimilatory nitrate reduction to ammonium (DNRA), as well as other nitrogen pathways for the reduction of nitrite, nitric oxide, and nitrous oxide. Additionally, the antiSMASH analysis indicated that the strains contained three to eight biosynthetic gene clusters (BGCs) associated with the synthesis of secondary metabolites. Furthermore, the strains carried a high number of CAZyme ranging from 53 to 152, which was also demonstrated by an in vitro analysis of degradation of the polysaccharide cellulose, chitin, laminarin, starch, and xylan. Additionally, all the strains carried genes for the metabolism of heavy metals, and exhibited tolerance to heavy metals, with minimum inhibitory concentrations (MICs) in millimoles (mM) in ranges of Co2+ (3–6), Cu2+ (0.2–0.4), Ni2+ (3–5), Zn2+ (2–4), Mn2+ (20–50), and Hg2+ (0.3). Conclusions Based on polyphasic taxonomic approach, the three isolated strains represent two novel species names Marivirga arenosa sp. nov. (BKB1-2 T = KCTC 82989 T = InaCC B1618T), and Marivirga salinae sp. nov. (BDSF4-3 T = KCTC 82973 T = InaCC B1619T).