cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30718997.v1
title: Supplementary Material for: Computer-aided Diagnosis of Pneumoperitoneum on Neonatal Abdominal Radiographs

description: Introduction
Neonatal gastrointestinal perforation is a life-threatening condition that requires timely and accurate diagnosis. However, interpreting abdominal radiographs in this population is often challenging. In this study, we aimed to develop a deep convolutional neural network (DCNN) model to segment pneumoperitoneum on neonatal abdominal radiographs and to evaluate its potential to assist in detecting neonatal gastrointestinal perforation.
Methods
This multicenter retrospective study included 1,187 abdominal radiographs (181 perforation and 1,006 control images) from neonates with gastrointestinal perforation and controls. Pneumoperitoneum regions were annotated by experienced clinicians. The dataset was randomly divided into training (n = 830), validation (n = 118), and test (n = 239) sets. A DeepLabV3+ model with ResNet50 backbone was finetuned for pixel-level segmentation. A single pixel-based threshold, derived from ROC analysis, was used to classify gastrointestinal perforation, with diagnostic performance subsequently compared to that of clinicians.
Results
The DCNN model achieved a median Dice similarity coefficient of 0.81 on the test dataset, indicating strong overlap between predicted and actual pneumoperitoneum regions. Furthermore, segmentation performance was positively correlated with pneumoperitoneum volume (Spearman ρ = 0.83, P &lt; 0.001). Classification using the pixel-based cut-off demonstrated excellent diagnostic accuracy (AUC, 0.999; sensitivity, 100%; specificity, 98.5%), comparable to experienced clinicians.
Conclusion
The DCNN model demonstrated robust segmentation and classification performance, highlighting its potential as a clinical decision support tool for early detection of gastrointestinal perforation in neonates. Future studies should validate the model’s generalizability and assess its integration into clinical practice.
DOI: 10.6084/m9.figshare.30718997
title: Supplementary Material for: Computer-aided Diagnosis of Pneumoperitoneum on Neonatal Abdominal Radiographs

description: Introduction
Neonatal gastrointestinal perforation is a life-threatening condition that requires timely and accurate diagnosis. However, interpreting abdominal radiographs in this population is often challenging. In this study, we aimed to develop a deep convolutional neural network (DCNN) model to segment pneumoperitoneum on neonatal abdominal radiographs and to evaluate its potential to assist in detecting neonatal gastrointestinal perforation.
Methods
This multicenter retrospective study included 1,187 abdominal radiographs (181 perforation and 1,006 control images) from neonates with gastrointestinal perforation and controls. Pneumoperitoneum regions were annotated by experienced clinicians. The dataset was randomly divided into training (n = 830), validation (n = 118), and test (n = 239) sets. A DeepLabV3+ model with ResNet50 backbone was finetuned for pixel-level segmentation. A single pixel-based threshold, derived from ROC analysis, was used to classify gastrointestinal perforation, with diagnostic performance subsequently compared to that of clinicians.
Results
The DCNN model achieved a median Dice similarity coefficient of 0.81 on the test dataset, indicating strong overlap between predicted and actual pneumoperitoneum regions. Furthermore, segmentation performance was positively correlated with pneumoperitoneum volume (Spearman ρ = 0.83, P &lt; 0.001). Classification using the pixel-based cut-off demonstrated excellent diagnostic accuracy (AUC, 0.999; sensitivity, 100%; specificity, 98.5%), comparable to experienced clinicians.
Conclusion
The DCNN model demonstrated robust segmentation and classification performance, highlighting its potential as a clinical decision support tool for early detection of gastrointestinal perforation in neonates. Future studies should validate the model’s generalizability and assess its integration into clinical practice.
DOI: 10.6084/m9.figshare.30719000
title: Supplementary Material for: Exercise intervention in patients with metabolic syndrome and renal disease: a prospective study (EXRED)

description: Introduction: In patients with chronic kidney disease (CKD) of diverse causes, obesity and metabolic syndrome (MS) accelerate disease progression. Therapeutic exercise could be effective in treating obesity and MS in patients with CKD. However, the evidence in this area is limited. The aim of this research is to evaluate the effect of an individualized exercise program on major metabolic and renal outcomes in patients with CKD, obesity and MS.

Methods: This was an interventional exploratory study that included patients with established CKD - estimated glomerular filtration rate (eGFR) ≥ 30 ml/min, obesity and MS treated by therapeutic exercise (aerobic and resistance) for 6 months. We evaluated changes in renal outcomes - measured glomerular filtration rate (mGFR) with iohexol-DBS and albuminuria, and metabolic outcomes - weight and MS trait. Biochemical, anthropometric and renal function were performed every 3 months. 

Results: Forty patients were evaluated. All were overweight or obese, mGFR was 58 ± 20 ml/min and urine albumin-creatinine ratio (UACR) 256 mg/g [IQR: 38-774]. Based on weight reduction (&gt;5%), patients were classified as “responders” (n=30) and “non-responders” (n=10). Responders had a major reduction in body mass index (BMI) from 35 ± 4 to 31 ± 4 Kg/m² (p&lt;0.001), triglycerides, HbA1c, systolic and diastolic blood pressure and UACR from 222 [20 – 610] to 89 [17 – 413] mg/g (p&lt;0.01), whereas mGFR diminished (≥7%) in half of them and remained stable in the other half. Non-responders experienced no changes. No major side effects were observed.

Conclusion: In patients with CKD, obesity and MS, exercise is an effective treatment to reduce weight, MS traits and albuminuria. Changes in mGFR are heterogeneous. Understanding the impact of weight reduction on glomerular filtration rate (GFR) changes is crucial in CKD. The role of exercise in Nephrological Care deserves further attention. The study trial registration number is NCT06576518.
DOI: 10.6084/m9.figshare.30719000.v1
title: Supplementary Material for: Exercise intervention in patients with metabolic syndrome and renal disease: a prospective study (EXRED)

description: Introduction: In patients with chronic kidney disease (CKD) of diverse causes, obesity and metabolic syndrome (MS) accelerate disease progression. Therapeutic exercise could be effective in treating obesity and MS in patients with CKD. However, the evidence in this area is limited. The aim of this research is to evaluate the effect of an individualized exercise program on major metabolic and renal outcomes in patients with CKD, obesity and MS.

Methods: This was an interventional exploratory study that included patients with established CKD - estimated glomerular filtration rate (eGFR) ≥ 30 ml/min, obesity and MS treated by therapeutic exercise (aerobic and resistance) for 6 months. We evaluated changes in renal outcomes - measured glomerular filtration rate (mGFR) with iohexol-DBS and albuminuria, and metabolic outcomes - weight and MS trait. Biochemical, anthropometric and renal function were performed every 3 months. 

Results: Forty patients were evaluated. All were overweight or obese, mGFR was 58 ± 20 ml/min and urine albumin-creatinine ratio (UACR) 256 mg/g [IQR: 38-774]. Based on weight reduction (&gt;5%), patients were classified as “responders” (n=30) and “non-responders” (n=10). Responders had a major reduction in body mass index (BMI) from 35 ± 4 to 31 ± 4 Kg/m² (p&lt;0.001), triglycerides, HbA1c, systolic and diastolic blood pressure and UACR from 222 [20 – 610] to 89 [17 – 413] mg/g (p&lt;0.01), whereas mGFR diminished (≥7%) in half of them and remained stable in the other half. Non-responders experienced no changes. No major side effects were observed.

Conclusion: In patients with CKD, obesity and MS, exercise is an effective treatment to reduce weight, MS traits and albuminuria. Changes in mGFR are heterogeneous. Understanding the impact of weight reduction on glomerular filtration rate (GFR) changes is crucial in CKD. The role of exercise in Nephrological Care deserves further attention. The study trial registration number is NCT06576518.
DOI: 10.6084/m9.figshare.30719003
title: Supplementary Material for: The Role of Fibrosis in Androgenetic Alopecia: Mechanisms and Implications

description: Background: Androgenetic alopecia (AGA) is a common pattern hair loss in which perifollicular fibrosis drives hair-follicle miniaturization. Inflammatory–fibrotic crosstalk centered on TGF-β/Smad, with input from Wnt/β-catenin and Notch, disrupts epithelial–mesenchymal communication and impairs regeneration. Summary: We summarize evidence linking chronic inflammation to fibroblast/myofibroblast activation and excessive extracellular-matrix deposition around hair follicles, highlight dermoscopic features that may reflect fibrotic burden, and outline a continuum between AGA and fibrosing patterned alopecias. We review anti-fibrotic strategies directed at TGF-β, Wnt/β-catenin and Notch signaling, and how combining anti-androgenic, anti-inflammatory and anti-fibrotic approaches could address both hormonal and structural drivers. Key Messages: • Perifollicular fibrosis is integral to AGA progression and may underlie incomplete treatment responses. • Dermoscopic signs such as perifollicular hyperpigmentation and whitish perifollicular structures may correlate with histologic fibrosis and merit validation. • Pathway-directed anti-fibrotic agents targeting TGF-β and Wnt/Notch show anti-fibrotic activity in other organs but require AGA-specific testing.
DOI: 10.6084/m9.figshare.30719003.v1
title: Supplementary Material for: The Role of Fibrosis in Androgenetic Alopecia: Mechanisms and Implications

description: Background: Androgenetic alopecia (AGA) is a common pattern hair loss in which perifollicular fibrosis drives hair-follicle miniaturization. Inflammatory–fibrotic crosstalk centered on TGF-β/Smad, with input from Wnt/β-catenin and Notch, disrupts epithelial–mesenchymal communication and impairs regeneration. Summary: We summarize evidence linking chronic inflammation to fibroblast/myofibroblast activation and excessive extracellular-matrix deposition around hair follicles, highlight dermoscopic features that may reflect fibrotic burden, and outline a continuum between AGA and fibrosing patterned alopecias. We review anti-fibrotic strategies directed at TGF-β, Wnt/β-catenin and Notch signaling, and how combining anti-androgenic, anti-inflammatory and anti-fibrotic approaches could address both hormonal and structural drivers. Key Messages: • Perifollicular fibrosis is integral to AGA progression and may underlie incomplete treatment responses. • Dermoscopic signs such as perifollicular hyperpigmentation and whitish perifollicular structures may correlate with histologic fibrosis and merit validation. • Pathway-directed anti-fibrotic agents targeting TGF-β and Wnt/Notch show anti-fibrotic activity in other organs but require AGA-specific testing.
DOI: 10.34740/kaggle/dsv/13874657
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.r9aqfs
title: Occurrence Download

description: A dataset containing 219960 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Grevillea"
 ]
}

 The dataset includes 219960 records from 553 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009112-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ajj2e4
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((115.11099 22.77167,113.77359 22.78857,113.20565 22.53497,114.00271 21.48168,115.23019 21.83924,115.11099 22.77167))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Halophila beccarii"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009138-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vg9cg8
title: Occurrence Download

description: A dataset containing 6278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rapistrum rugosum",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 6278 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009137-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/bneeyh
title: PDB: 5TL5, CD27 in complex with M2177 antibody (310K, 37°C, 100 ns)

description: Molecular Dynamics Simulations (100 nanoseconds) of CD27 in complex with M2177 antibody at 310K (37°C). Includes PDB files obtained every 50 ns.
DOI: 10.21227/91g5-d880
title: "NSE and BSE data set (2023-2025) "

description: "A. Dataset DescriptionReal-world financial and economic data gathered from several reliable sources were used in this project to perform a meaningful comparison of supervised learning classification algorithms. Both stock market and currency exchange data are included in the data, which spans the years 2023\u20132025.B. Data SourceBSE data source: https:\/\/www.bseindia.comNSE data source: https:\/\/www.nseindia.com"
DOI: 10.15468/dl.pnwtym
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhaponticum repens",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 184 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009141-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2297922202
title: Characterizing Na ion battery

description: Characterizing Na ion battery
DOI: 10.15151/esrf-es-2232201733
title: Southampton, Bristol, Cardiff, Exeter, KCL, UCL Royal Free Block Allocation Group (BAG)

description: This BAG coordinates activities of groups from the South of the UK. The focus is on projects in immunology, transcriptional regulation, and enzymology. Particular strengths are antimicrobial resistance research (AMR), drug development, and the macromolecular complexes that several of our groups target. A highlighted presented with mid-term report is rational drug design for antibodies (biologicals) in cancer immunology (Southampton). We are interested in dynamic structural biology and use spectroscopy and SAXS in addition to gain this insight; several members of this bag are also active users of ID29 serial. Our projects listed here apply for time on crystallographic beamlines, SAXS, and spectroscopy (BM07 and icOS).
DOI: 10.15151/esrf-es-2297848089
title: Ex situ - high through put

description: Doing ex situ XRD measurements by using the high through put setup
DOI: 10.15468/dl.vmqucw
title: Occurrence Download

description: A dataset containing 2242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1150.0",
 "Country is Germany",
 "OccurrenceStatus is Present",
 "TaxonKey is Gomphus pulchellus",
 "Year 1980-2025"
 ]
}

 The dataset includes 2242 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009143-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2233749566
title: The Israeli BAG

description: This Summary will only portray a very limited scope of the BAG proposal due to its size and more information will be available in the Global Summary. We plan establish a comprehensive structural narrative for the assembly and entry of viruses from the Bunyavirales family using X-ray crystallography, biophysics, biochemistry, and molecular virology. Using X-ray crystallography to obtain the 3D structure of GN and GC in different conformations and from different bunyavituses. We will pursue a structure of GN or GC bound to a neutralizing antibody to obtain new data for vaccine design. In the SAXS arena, we plan to continue the study on MT (microtubules) and expand the experiments with different nucleotide type and concentrations, (GTP, GDP, GMPCPP, and GMPPCP, GTP-gammaS). We will perform at selected points SEC-SAXS experiments in the presence of full-length tau (4RL). Our preliminary data revealed that 4RL promote MT assembly at 36C and of single tubulin rings at low temperatures.
DOI: 10.15151/esrf-es-2248510823
title: Probing the structural and electronic properties of An(IV) peroxides

description: The radiolytic generation of hydrogen peroxide plays a crucial role in actinide (An) chemistry, influencing the structural evolution of An compounds and introducing novel bonding characteristics. In particular, nanoscale uranyl clusters and peroxide precipitates such as studtite and metastudtite have been implicated in the corrosion and dissolution of UO₂-based materials, potentially enhancing radionuclide release. While hexavalent uranyl peroxides have been extensively studied, investigations into other actinide peroxides, particularly tetravalent ones, remain particularly scarce. This proposal focuses the structural and electronic properties of tetravalent peroxides (Th, Pu) under environmentally relevant conditions.
DOI: 10.15151/esrf-es-2234226172
title: Italian CryoEM Bag II (ICB-II)

description: This BAG application builds on the development of single particle cryoEM in the Italian Structural Biology community, as in Italy there is no top-end instrument isopen to rhe structural biology community.
The groups in this application have acquired know-how in cryoEM through international collaborations or by acquiring medium-level in-house equipment. Access tothe CM01 beamline at the ESRF since August 2020 has allowed the development of projects from groups that do not have in-house equipment that resulted inpaper in publication on Nucleic Acid Research NAR.
We now have six screening microscopes in Italy and two more are being funded, making the access to CM01 more demanded and relevant for high-resolution
data and, consequently high profile publications
DOI: 10.7910/dvn/9avy0b
title: PDB: 5TL5, CD27 in complex with M2177 antibody (311K, 38°C, 100 ns)

description: Molecular Dynamics Simulations (100 nanoseconds) of CD27 in complex with M2177 antibody at 311K (38°C). Includes PDB files obtained every 50 ns.
DOI: 10.17182/hepdata.159276.v1/t1
title: "Figure 1" of "Search for light pseudoscalar bosons, pair-produced in Higgs boson decays in the four-electron final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV"

description: Invariant mass distribution of the four-electron system ($m_{4 e}$) for selected events (points), compared to the background-only fit (red) with its $68\%$ and $95\%$~CL uncertainty bands (green and yellow). A non-stacked benchmark signal (blue) for a Higgs boson decaying to a pair of ALPs with $m_a=20MeV$ and $c \tau = 10\,\mu\mathrm{m}$ is overlaid and normalized to a branching ratio of $4.6 \times 10^{-5}$, which corresponds to the $95\%$~CL upper limit value set by this analysis. The lower panel shows the same data after subtracting the background fit.
description: A search for pairs of light neutral pseudoscalar bosons ($ A$) resulting from the decay of a Higgs boson is performed. The search is conducted using LHC proton-proton collision data at $\sqrt{s} = 13~\mathrm{TeV}$, collected with the CMS detector in 2016--2018 and corresponding to an integrated luminosity of $138~\mathrm{fb}^{-1}$. The $ A$ boson decays into a highly collimated electron-positron pair. A novel multivariate algorithm using tracks and calorimeter information is developed to identify these distinctive signatures, and events are selected with two such merged electron-positron pairs. No significant excess above the standard model background predictions is observed. Upper limits on the branching fraction for $ H\to A A\to4 e$ are set at $95\%$ confidence level, for masses between 10 and 100 MeV and proper decay lengths below 100 $\mu\mathrm{m}$ ; reaching branching fraction sensitivities as low as $10^{-5}$. This is the first search for Higgs boson decays to four electrons via light pseudoscalars at the LHC. It significantly improves the experimental sensitivity to axion-like particles with masses below 100 MeV.
DOI: 10.17182/hepdata.159276.v1/t2
title: "Figure 2" of "Search for light pseudoscalar bosons, pair-produced in Higgs boson decays in the four-electron final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV"

description: Observed (solid points) and expected (dashed lines) $95\%$ CL upper limits on the Higgs boson branching fraction to a pair of ALPs decaying into electron-positron pairs ($ H \to A A \to e e$), shown as a function of the ALP mass for benchmark proper decay lengths of 1 $\,\mu\mathrm{m}$ (upper left), 10 $\,\mu\mathrm{m}$ (upper right), and 100 $\,\mu\mathrm{m}$ (lower left). The green and yellow bands represent the one and two standard deviation confidence intervals around the expected limits. The lower right panel shows a map of the observed $95\%$ CL upper limit, shown as a color scale, as a function of the ALP mass $m_ A$ and proper decay length $c \tau$.
description: A search for pairs of light neutral pseudoscalar bosons ($ A$) resulting from the decay of a Higgs boson is performed. The search is conducted using LHC proton-proton collision data at $\sqrt{s} = 13~\mathrm{TeV}$, collected with the CMS detector in 2016--2018 and corresponding to an integrated luminosity of $138~\mathrm{fb}^{-1}$. The $ A$ boson decays into a highly collimated electron-positron pair. A novel multivariate algorithm using tracks and calorimeter information is developed to identify these distinctive signatures, and events are selected with two such merged electron-positron pairs. No significant excess above the standard model background predictions is observed. Upper limits on the branching fraction for $ H\to A A\to4 e$ are set at $95\%$ confidence level, for masses between 10 and 100 MeV and proper decay lengths below 100 $\mu\mathrm{m}$ ; reaching branching fraction sensitivities as low as $10^{-5}$. This is the first search for Higgs boson decays to four electrons via light pseudoscalars at the LHC. It significantly improves the experimental sensitivity to axion-like particles with masses below 100 MeV.