Margin Features Research Articles

Superstorm Sandy exposure in utero is associated with neurobehavioral phenotypes and brain structure alterations in childhood: A machine learning approach.

Prenatal maternal stress (PNMS), including exposure to natural disasters, has been shown to serve as a risk factor for future child psychopathology and suboptimal brain development, particularly among brain regions shown to be sensitive to stress and trauma exposure. However, statistical approaches deployed in most studies are usually constrained by a limited number of variables for the sake of statistical power. Explainable machine learning, on the other hand, enables the study of high data dimension and offers novel insights into the prominent subset of behavioral phenotypes and brain regions most susceptible to PNMS. In the present study, we aimed to identify the most important child neurobehavioral and brain features associated with in utero exposure to Superstorm Sandy (SS). By leveraging an explainable machine learning technique, the Shapley additive explanations method, we tested the marginal feature effect on SS exposures and examined the individual variable effects on disaster exposure. Results show that certain brain regions are especially sensitive to in utero exposure to SS. Specifically, in utero SS exposure was associated with larger gray matter volume (GMV) in the right caudate, right hippocampus, and left amygdala and smaller GMV in the right parahippocampal gyrus. Additionally, higher aggression scores at age 5 distinctly correlated with SS exposure. These findings suggest in utero SS exposure may be associated with greater aggression and suboptimal developmental alterations among various limbic and basal ganglia brain regions.

Multistate models as a framework for estimand specification in clinical trials of complex processes.

Intensity-based multistate models provide a useful framework for characterizing disease processes, the introduction of interventions, loss to followup, and other complications arising in the conduct of randomized trials studying complex life history processes. Within this framework we discuss the issues involved in the specification of estimands and show the limiting values of common estimators of marginal process features based on cumulative incidence function regression models. When intercurrent events arise we stress the need to carefully define the target estimand and the importance of avoiding targets of inference that are not interpretable in the real world. This has implications for analyses, but also the design of clinical trials where protocols may help in the interpretation of estimands based on marginal features.

On the Deep Western Boundary Current Separation and Anticyclone Genesis off Northeast Brazil

AbstractThe Deep Western Boundary Current (DWBC) is the main component of the deep limb of the Atlantic Meridional Overturning Circulation (AMOC). Off northeast Brazil, the DWBC breaks up into southwestward‐propagating anticyclones. In this study, we investigate the breakup mechanism with hydrographic observations, eddy‐resolving numerical model outputs, and theory. Here, we present a quasi‐synoptic map of geostrophic velocities and stream function at the DWBC core level between 2.5°S and 11°S. We observe, in horizontal distributions of velocities, that the DWBC breakup site is linked to a topographic feature of the Brazilian continental margin centered at 8°S: the Pernambuco Plateau (PP). Moreover, both observations and model outputs hint at a possible DWBC separation near the PP preceding anticyclone genesis. We test, with three different theories from the literature, whether or not the DWBC separates at 8°S. The results of the tests converge to indicate that the DWBC undergoes a local and intermittent inertial separation while contouring the PP. Downstream of its separation at the plateau, the DWBC sheds eddies similarly to previously reported laboratory experiments. In addition, a regional analysis of energy transfer shows that barotropic instability significantly contributes to the anticyclones growth between 8°S and 13°S. Analysis of the energy budget and separation of waters related to the AMOC pathways into the basin interior provide a better understanding for later studies about heat fluxes and ventilation in the deep tropical South Atlantic.

CORE COMPONENTS OF THE DEATH CONCEPT IN THE ENGLISH LANGUAGE

The article analyzes the conceptual scope of the DEATH concept. The structure of the DEATH concept core has been explored in the article. Language is a means of verbalizing concepts, therefore, the structure and content of concepts are revealed through the meaning of language units representing a certain concept and its dictionary interpretations. In this work, based on the analysis of lexicographic sources, a synonymous group of lexemes for the DEATH concept, its core structure and the core components of the concept are studied. As a result of the study, it was proved that the core of the DEATH concept in the English language is represented by the following semantic features: “end / cessation” (кінець, припинення), “destruction / ruination” (руйнація, знищення), “loss” (втрата), “fear” (страх) та “devastation” (спустошення). It is proved that the structure of verbalizers of the DEATH concept is branched, and the core of the concept is represented by the signs that transpose the emotional range (fear, devastation), time intervals (end, expiration), fatality of events (inevitability for everyone) and belonging to one or another type of the events course (natural, violent, intentional). A semantic group of lexemes denoting the concept of DEATH the English language is singled out, the structure of linguistic verbalizers is modelled, their semantic classification is provided. The verbalization of the DEATH concept takes place due to various language means: synonymous series of lexemes of different semantic segments (phenomenon of death; process of dying; deceased person; burial place, grave, coffin; burial ceremony, farewell speech (eulogy); metaphorical images of death), set expressions and units of the folklore fund, figurative language expressions. The study showed that the idea of death in the English linguistic culture is quite traditional. Prospects for further research can be seen in the study of marginal features of the DEATH concept.

Accuracy of Two Visual Criteria for the Assessment of Caries around Restorations: A Delayed-Type Cross-Sectional Study

The aim of this study was to compare the performance of two visual criteria used for the detection of caries around restorations in permanent teeth. In this delayed-type cross-sectional study, the study sample was randomly allocated to one of two visual criteria for the assessment of restorations as follows: (a) International Dental Federation (FDI) criteria, considers marginal staining, marginal adaptation, and caries recurrence and (b) Caries Associated with Restorations or Sealants (CARS) criteria, defined by the International Caries Classification and Management System. A calibrated examiner assessed the restorations using two reference standards as follows: (i) for restorations requiring operative interventions (repair/replacement), the restoration was partially or totally removed and the presence or absence of carious tissue was assessed; and (ii) for restorations requiring nonoperative intervention, follow-up for a period of 1 year was recommended to allow identification of the presence of new lesions not detected at baseline. The sensitivity, specificity, area under receiver operating characteristic curve (Az), and accuracy of the criteria were assessed. The study included 305 restorations. The FDI marginal staining parameter had the lowest Az value (Az = 0.501), while similar sensitivity was observed between the CARS (62.0%), FDI presence of caries (65.0%), and FDI marginal adaptation (74.0%) parameters. CARS exhibited the highest specificity (88.3%) and accuracy (85.6%). The CARS criteria exhibited better specificity and accuracy in detecting caries around restorations, followed by the FDI criteria for caries recurrence and marginal adaptation. Considering marginal staining or combining multiple marginal features to assess secondary caries resulted in an increased risk of false-positive outcomes and overtreatment.

A lightweight and robust model for engineering cross-domain fault diagnosis via feature fusion-based unsupervised adversarial learning

Cross-domain bearing fault diagnosis models have weaknesses such as large size, complex calculation and weak anti-noise ability. Hence, a lightweight and robust model via feature fusion-based unsupervised adversarial learning (LRFFUAL) is proposed, which could be a special benefit for practical engineering applications. A main innovation lies in a customized feature fusion block to achieve a tradeoff between model lightweight and robustness. Accordingly, a channel residual strategy is proposed to apply residual techniques for channels with weak feature information to achieve data augmentation. Concerning cross-domain tasks with huge distribution discrepancy, a new adversarial learning strategy is proposed to improve model convergence rate by inputting marginal features into a discriminator. Experimental results show that the proposed LRFFUAL has advantages of smaller size, less computation, and stronger robustness compared with other existing methods.

Ultrasonographic prediction model for benign and malignant salivary gland tumors: a preliminary study

To establish an ultrasonographic (US) prediction model for benign and malignant salivary gland tumors. We retrospectively analyzed the clinical data of 575 patients with salivary gland tumors. Patients were divided into benign (N=420) and malignant (N=155) tumor groups based on histopathologic results. The clinical and US features of the tumor groups were statistically compared. With histopathologic findings as the dependent variable and clinical and US features as independent variables, a multiple logistic regression model was established. The area under the receiver operating characteristic curve (AUC) was calculated to evaluate its diagnostic efficacy. Statistically significant differences between tumor groups were discovered for patient age, tumor site, and the US features of tumor size, shape, and margins; posterior echo pattern; microcalcification, abnormal lymph nodes, and tumor vascularity. Individual US features had limited diagnostic value. The AUC, sensitivity, specificity, and accuracy values of the logistic regression equation were 0.893, 84.3%, 80.0%, and 83.1%, respectively. The diagnostic performance of the predictive model was significantly better than that of any single US factor. This suggests that establishment of multiple models based on US features can improve the accuracy of diagnosis of benign and malignant salivary gland tumors and can be applied clinically.

Clinicopathological significance of 114 cases with positive surgical margin in radical prostatectomy specimens

Objective: To analyze the clinicopathological features of positive surgical margins (PSM) after radical prostatectomy and to explore its associated factors. Method: A retrospective analysis was conducted on 274 patients who underwent radical prostatectomy in Beijing Hospital from June 2018 to June 2021. The margins of these specimens of radical prostatectomy were directly inked with black ink. According to the margin status (tumor present versus not), the patients were divided into PSM and negative surgical margin (NSM) groups. The clinicopathological characteristics were compared between two groups, including age, preoperative prostate specific antigen (PSA), number of tumors, tumor's location, postoperative pathological Gleason score, tumor burden and postoperative pathological staging. Results: Among the 274 cases, 114 showed PSM, and 160 showed NSM. PSM accounted for 41.6% of the cases. The mean age was 68.3 years, while the PSM group's mean age was 68.0 years, and that of the NSM group was 68.6 years, with no statistical significance between groups (P>0.05). The mean preoperative PSA was 15.8 μg/L in all patients, 21.5 μg/L in the PSM group and 11.3 μg/L in NSM group. PSA in the PSM group was statistically higher than that in the NSM group (P<0.001). The PSA level (10 μg/L, 10-20 μg/L, and >20 μg/L) was associated with the PSM rate (31.1%, 48.7%, and 69.4%). Regarding tumor numbers, 118 cases had a single focus, including 40 cases with PSM (33.9%). In the 156 cases of multiple foci, 74 cases had a PSM (47.4%). There were statistically more PSM cases in the cases with multi-focal disease (P<0.05). Tumors were seen in the transit zone of 44 cases, while 107 cases showed tumors in the peripheral zone, and 123 cases in the whole zone. The PSM rate was 27.3% (12/44), 40.2% (43/107), and 48.0% (59/123) by tumor location, respectively, but the difference among groups was not statistically significant (P>0.05). The postoperative Gleason scores were 3+3=6 in 51 cases, 3+4=7 in 98 cases, 4+3=7 in 81 cases, and ≥8 in 44 cases, with PSM rates of 19.6% (10/51), 38.8% (38/98), 45.7% (37/81) and 65.9% (29/44), respectively (P<0.001 for rate differences). The tumor burden was <30% in 157 cases, 30%-60% in 91 cases, and>60% in 26 cases, with PSM rate of 21.0% (33/157), 65.9% (60/91) and 80.8% (21/26), respectively (P<0.001 for rate differences). Moreover, there were 181 cases of pathological stage T2 (PSM rate, 29.3%) and 93 cases of pathological stage T3 (PSM rate, 65.6%), with statistical difference in PSM rates (P<0.001). The multivariable logistic regression analysis indicated that preoperative PSA >20 μg/L, postoperative Gleason score ≥8, high tumor burden and pathological stags were different between the PSM and NSM groups (P<0.05). Conclusions: The PSM of radical prostatectomy is closely related to the preoperative PSA level, the number of lesions, postoperative Gleason score, tumor burden and pathological stage. Preoperative PSA level >20 μg/L, postoperative Gleason score ≥8, high tumor burden and pathological stage are independent predictors for PSM.

Clinical and Imaging Features of Tumors in the Scapula.

The scapula is a small irregular-shaped flat bone, which may suffer from a variety of tumors or tumor-like lesions. As the imaging manifestations are complex and changeable, correct imaging diagnosis is difficult. At present, there are few related radiology literatures, and it is necessary to fully analyze the imaging signs of different types of benign and malignant tumors in scapula to guide clinical treatment. This study was to investigate clinical and imaging presentations of tumors and tumor- like lesions in the scapula so as to increase the diagnostic accuracy of diseases in the scapula. Patients with scapular tumors confirmed by pathology were enrolled. The imaging and clinical data were analyzed. Among 108 patients, benign tumors were in 53 (49.1%) cases, intermediate in seven (6.5%), and malignant in 48 (44.4%) involving 16 diseases. Osteochondroma was the first benign tumors in 45 cases accounting for 84.9% of all benign scapular tumors, followed by chondroma in four cases (7.5%). The intermediate tumors were mainly eosinophilic granuloma in four cases. Metastatic tumors were the commonest malignant tumor (27 cases or 56.2% of all malignant tumors), followed by chondrosarcoma (in 13 cases). Except for the one case of chondroblastoma in which the lesion involved the glenoid cavity, all the other cartilaginous tumors were located in the scapular body and processes. The type of lesions in the bony processes is the same as in the scapular body, the common lesions in the central area of the body were malignant tumors, and the commonest lesions in the glenoid area were metastasis. Common imaging features of malignant scapular tumors were ill-defined margins, cortical destruction and soft tissue involvement. The imaging features of chondrosarcoma lack specificity except for calcification. Benign lesions usually had a clear boundary and marginal sclerosis. A wide variety of benign and malignant tumors may occur in the scapula with mostly cartilaginous and metastatic tumors, and the location and distribution of lesions are similar in the scapula to those in the long bones.

Model-free screening for variables with treatment interaction.

Precision medicine is a medical paradigm that focuses on making effective treatment decision based on individual patient characteristics. When there are a large amount of patient information, such as patient's genetic information, medical records and clinical measurements, available, it is of interest to select the covariates which have interactions with the treatment, for example, in determining the individualized treatment regime where only a subset of covariates with treatment interactions involves in decision making. We propose a marginal feature ranking and screening procedure for measuring interactions between the treatment and covariates. The method does not require imposing a specific model structure on the regression model and is applicable in a high dimensional setting. Theoretical properties in terms of consistency in ranking and selection are established. We demonstrate the finite sample performance of the proposed method by simulation and illustrate the applications with two real data examples from clinical trials.

Cold Seeps on the Passive Northern U.S. Atlantic Margin Host Globally Representative Members of the Seep Microbiome with Locally Dominant Strains of Archaea.

Marine cold seeps are natural sites of methane emission and harbor distinct microbial communities capable of oxidizing methane. The majority of known cold seeps are on tectonically active continental margins, but recent discoveries have revealed abundant seeps on passive margins as well, including on the U.S. Atlantic Margin (USAM). We sampled in and around four USAM seeps and combined pore water geochemistry measurements with amplicon sequencing of 16S rRNA and mcrA (DNA and RNA) to investigate the microbial communities present, their assembly processes, and how they compare to communities at previously studied sites. We found that the USAM seeps contained communities consistent with the canonical seep microbiome at the class and order levels but differed markedly at the sequence variant level, especially within the anaerobic methanotrophic (ANME) archaea. The ANME populations were highly uneven, with just a few dominant mcrA sequence variants at each seep. Interestingly, the USAM seeps did not form a distinct phylogenetic cluster when compared with other previously described seeps around the world. Consistent with this, we found only a very weak (though statistically significant) distance-decay trend in seep community similarity across a global data set. Ecological assembly indices suggest that the USAM seep communities were assembled primarily deterministically, in contrast to the surrounding nonseep sediments, where stochastic processes dominated. Together, our results suggest that the primary driver of seep microbial community composition is local geochemistry-specifically methane, sulfide, nitrate, acetate, and ammonium concentrations-rather than the geologic context, the composition of nearby seeps, or random events of dispersal. IMPORTANCE Cold seeps are now known to be widespread features of passive continental margins, including the northern U.S. Atlantic Margin (USAM). Methane seepage is expected to intensify at these relatively shallow seeps as bottom waters warm and underlying methane hydrates dissociate. While methanotrophic microbial communities might reduce or prevent methane release, microbial communities on passive margins have rarely been characterized. In this study, we investigated the Bacteria and Archaea at four cold seeps on the northern USAM and found that despite being colocated on the same continental slope, the communities significantly differ by site at the sequence variant level, particularly methane-cycling community members. Differentiation by site was not observed in similarly spaced background sediments, raising interesting questions about the dispersal pathways of cold seep microorganisms. Understanding the genetic makeup of these discrete seafloor ecosystems and how their microbial communities develop will be increasingly important as the climate changes.

Gracilaria khanjanapajiae sp. nov. (Gracilariales, Rhodophyta) from the Andaman coast of Thailand

ABSTRACT Taxonomy and diversity of the Gracilariaceae has been increasingly investigated by using integrated morphological and genetic approaches. The Indo-Pacific is likely a hotspot for diversity of these macroalgae. Collections of flattened Gracilaria samples from Natai beach, Andaman coast of Thailand, were morphologically and genetically analysed. Our results clearly indicated the presence of a new species, G. khanjanapajiae sp. nov., in Thailand. In comparison to other known Indo-Pacific flattened species, G. khanjanapajiae can be distinguished by its dentate blade margin, deep spermatangial conceptacles (verrucosa-type) and numerous lateral and basal nutritive filaments within mature cystocarps. This new species resembles G. srilankia in having similar branching pattern and male reproductive structures, but differs in blade margin features. Phylogenetically, G. khanjanapajiae was more closely related to G. spinulosa from Taiwan than other Thai and Indian Ocean species. This present study highlights the continuing discovery of Gracilaria diversity and distribution in the tropical Indo-Pacific.

Modified Time-Frequency Marginal Features for Detection of Seizures in Newborns.

The timely detection of seizure activity in the case of newborns can help save lives. Clinical signs of seizures in newborns are difficult to observe, so, in this study, we propose an automated method of detecting seizures in newborns using multi-channel electroencephalogram (EEG) recording acquired from 36 newborns admitted to Royal Women’s Hospital, Brisbane, Australia. A novel set of time-frequency marginal features are defined to detect seizure activity in newborns. The proposed set is based on the observation that EEG seizure signals appear either as a train of spikes or as a summation of frequency-modulated chirps with slow variation in the instantaneous frequency curve. The proposed set of features is obtained by extracting the time-frequency (TF) signature of seizure spikes and frequency-modulated chirps by exploiting the direction of ridges in the TF plane. Based on extracted TF signature of spikes, the modified time-marginal is computed whereas based on the extracted TF signature of frequency-modulated chirps, the modified frequency-marginal is computed. It is demonstrated that features extracted from the modified time-domain marginal and frequency-domain marginal in combination with TF statistical and frequency-related features lead to better accuracy than the existing TF signal classification method, i.e., the proposed method achieves an F1 score of 70.93% which is 5% greater than the existing method.

Model-free feature screening for ultrahigh dimensional data via a Pearson chi-square based index

For ultrahigh dimensional data, we propose a model-free marginal feature screening procedure, which can handle continuous, categorical and discrete response variables, based on the integral Pearson chi-square (IPC) index. The IPC index can be regarded as an extension of the AD index studied by He et al. [A modified mean-variance feature-screening procedure for ultrahigh-dimensional discriminant analysis. Comput Stat Data Anal. 2019;137:155–169]. When the response variable is categorical, we extend He et al.'s work to the case of allowing a diverging number of response categories. However, the IPC index is difficult to estimate when the response is continuous. Thus we modify it and define the fused IPC index using the slice-and-fuse technique. Our feature screening procedure ranking the IPC or fused IPC index is robust to heavy-tailed features and outliers. The sure screening properties and the ranking consistency properties are established for both categorical and continuous responses under mild conditions. The finite sample performance of the proposed procedure is demonstrated through various numerical simulations and two real data applications.

High-Definition Ultrasound Characterization of Squamous Carcinoma of the Tongue: A Descriptive Observational Study.

Simple SummaryThe application of high-frequency ultrasound in the oral cavity for malignant lesions is a growing trend. As with other parts of the body, this method could become routine in the future. With this in mind, this work aimed to characterize squamous tumors of the tongue ultrasonographically and added additional descriptive elements to the current literature.High-definition ultrasonography is a diagnostic tool that uses sound echoes to produce images of tissues and organs. In the head and neck region, ultrasounds have been used to diagnose different types of lesions. The intraoral approach was shown to be a real-time, non-invasive way to characterize oral lesions. The tongue is the most often examined region because of its accessibility. This observational study aimed to describe the qualitative characteristics of tongue squamous cell carcinoma images obtained with high-definition intraoral ultrasound by comparing them with the corresponding histopathological sample. Twenty patients were enrolled in this study. The scans of the lesions were carried out with an 18 MHz linear ultrasound probe following the long axis of the lesion. For each lesion, five frames were selected, on which descriptive analysis was performed. A histological sample was taken and then compared to the ultrasonographic acquisition. The sonographic appearance of the tissue layers has a good correlation between ultrasound and histological morphology, and it was easy to distinguish the tumor from the homogenous composition of the tongue tissues. Furthermore, a correlation between the structure by section and pattern of tumor margin features by ultrasound was obtained. Intraoral ultrasonography appears to be a promising technique in the non-invasive characterization of tongue squamous cell carcinoma. Further studies will be needed to improve the technique in terms of ergonomics and repeatability.

Infrared Image Super-Resolution via Progressive Compact Distillation Network

Deep convolutional neural networks are capable of achieving remarkable performance in single-image super-resolution (SISR). However, due to the weak availability of infrared images, heavy network architectures for insufficient infrared images are confronted by excessive parameters and computational complexity. To address these issues, we propose a lightweight progressive compact distillation network (PCDN) with a transfer learning strategy to achieve infrared image super-resolution reconstruction with a few samples. We design a progressive feature residual distillation (PFDB) block to efficiently refine hierarchical features, and parallel dilation convolutions are utilized to expand PFDB’s receptive field, thereby maximizing the characterization power of marginal features and minimizing the network parameters. Moreover, the bil-global connection mechanism and the difference calculation algorithm between two adjacent PFDBs are proposed to accelerate the network convergence and extract the high-frequency information, respectively. Furthermore, we introduce transfer learning to fine-tune network weights with few-shot infrared images to obtain infrared image mapping information. Experimental results suggest the effectiveness and superiority of the proposed framework with low computational load in infrared image super-resolution. Notably, our PCDN outperforms existing methods on two public datasets for both ×2 and ×4 with parameters less than 240 k, proving its efficient and excellent reconstruction performance.

Risk of Pathologic Extranodal Extension and Other Adverse Features After Transoral Robotic Surgery in Patients With HPV-Positive Oropharynx Cancer

Understanding patient-specific risk of adverse histopathologic findings after primary surgery for human papillomavirus (HPV)-positive oropharynx squamous cell carcinoma (OPSCC) may help guide patient consultations. To determine the likelihood of adverse histopathologic features that may indicate adjuvant radiotherapy or chemoradiotherapy after primary surgery for HPV-positive OPSCC according to 2021 National Comprehensive Cancer Network guidelines. This retrospective cohort study was performed at a single academic tertiary care center. Of 258 patients who underwent transoral robotic surgery (TORS) from March 1, 2012, to March 1, 2021, 136 consecutive, treatment-naive patients with HPV-positive OPSCC without obvious clinical extranodal extension (ENE) who underwent definitive TORS and neck dissection were included in the analysis. Indications for surgical treatment included non-deeply infiltrative oropharynx tumors, minimal soft palate involvement, and low suspicion for pathologic ENE. Primary site TORS with neck dissection. The primary outcomes were the adverse histopathologic features of pathologic ENE and positive surgical margins (PSM) that are indications for possible adjuvant chemoradiotherapy. Outcomes were compared among varying American Joint Committee on Cancer 7th edition (AJCC-7) T and N categories and patient clinical characteristics. Of the 136 patients included in the analysis (113 men [83.1%]; median age, 63 [interquartile range, 55-70] years), 109 (80.1%) had at least 1 indication for possible adjuvant radiotherapy. Twenty-seven patients (19.9%) had pathologic ENE and 10 (7.3%) had PSM. Thirty-four patients (25.0%) had pathologic ENE and/or PSM, whereas 3 (2.2%) had both. Age, smoking history, history of alcohol consumption, and clinical T category were not associated with pathologic ENE, PSM, lymphovascular invasion, perineural invasion, or pN2 category or greater. The proportion of pathologic ENE varied by clinical N category: 0 of 16 for cN0, 8 of 48 (16.7%) for cN1, 3 of 23 (13.0%) for cN2a, and 16 of 45 (35.6%) for cN2b. Compared with patients with cN1-cN2a disease, patients with cN2b disease had higher odds of pathologic ENE (odds ratio, 3.01; 95% CI, 1.14-8.10). Clinical and pathologic N category were concordant in 77 patients (56.6%), whereas 42 (30.9%) were upstaged and 17 (12.5%) were downstaged. In this cohort study, approximately one-quarter of carefully selected patients with HPV-positive OPSCC without obvious clinical ENE undergoing primary surgery had pathologic ENE and/or PSM. Patients with AJCC-7 cT0-cT2 cN0-cN2b disease, especially cN0-cN2a, without signs of clinical ENE may represent appropriate candidates for primary surgery when avoidance of adjuvant chemotherapy and/or reduction of adjuvant radiotherapy dose/extent are the goals.

GIS dataset: geomorphological record of terrestrial-terminating ice streams, southern sector of the Baltic Ice Stream Complex, last Scandinavian Ice Sheet, Poland

Abstract. Here we present a comprehensive dataset of glacial geomorphological features covering an area of 65 000 km2 in central west Poland, located along the southern sector of the last Scandinavian Ice Sheet, within the limits of the Baltic Ice Stream Complex. The GIS dataset is based on mapping from a 0.4 m high-resolution digital elevation model derived from airborne light detection and ranging data. Ten landform types have been mapped: mega-scale glacial lineations, drumlins, marginal features (moraine chains, abrupt margins, edges of ice-contact fans), ribbed moraines, tunnel valleys, eskers, geometrical ridge networks, and hill–hole pairs. The map comprises 5461 individual landforms or landform parts, which are available as vector layers in GeoPackage format at https://doi.org/10.5281/zenodo.4570570 (Szuman et al., 2021a). These features constitute a valuable data source for reconstructing and modelling the last Scandinavian Ice Sheet extent and dynamics from the Middle Weichselian Scandinavian Ice Sheet advance, 50–30 ka, through the Last Glacial Maximum, 25–21 ka, and Young Baltic advances, 18–15 ka. The presented data are particularly useful for modellers, geomorphologists, and glaciologists.

On the use of areal coverage of parameters favorable for severe weather to discriminate major outbreaks

Forecaster perceptions of major convective outbreaks include the notion that these events occur within relatively large regions of meteorological conditions favorable for the development of significant severe weather, particularly tornadoes. With recent studies developing a rigorous and scientifically repeatable method of identifying these events and distinguishing them from intermediate or marginal severe weather outbreaks, the investigation of a large sample of these events now is possible. This diagnostic study aims to determine the extent to which the use of areal coverage is successful as a means of discriminating major severe weather outbreaks (primarily but not exclusively major tornado outbreaks) from the less significant outbreaks. Preliminary findings suggest that the areal coverage of severe weather parameters favorable for severe weather indeed is associated with the severity of outbreaks. However, the method produces a substantial number of less significant outbreaks that are misclassified as major severe weather outbreaks. Many of these false alarms can be identified by the presence of synoptic environments that are less favorable for the development of a large number of tornadoes. However, a substantial number of intermediate and marginal severe weather outbreaks feature synoptic patterns and mesoscale environments that are difficult to differentiate from the major events. Limitations of using areal coverage as a means of outbreak discrimination are discussed, and refinements to account for these limitations are proposed.

Implications of state-dependent pricing for DSGE model-based policy analysis in Indonesia

This paper builds a small open economy dynamic stochastic general equilibrium (DSGE) model for Indonesia with state-dependent pricing (SDP) and studies its implications for policy analysis. Variations in the extensive margin of price adjustment under SDP are shown to non-trivially affect the model-generated variance decompositions and impulse responses to various shocks. DSGE model-based policy analyses conducted without this extensive margin feature might therefore lead to inaccurate policy prescriptions. In particular, the SDP model would call for a greater degree of monetary easing in response to the COVID-19 pandemic, than that prescribed by the standard time-dependent pricing (TDP) model.