cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31222765
title: Supplementary Material for: Assessing the Role of Artificial Intelligence in Caries Detection and Clinical Decision-Making: A Scoping Review

description: Background and objective: Artificial Intelligence (AI) support is expected to increase accuracy and improve treatment plans in dentistry. Nevertheless, AI’s ability to promote better oral health care is underexplored. This scoping review explores the influence of AI in supporting dental professionals with caries detection and decision-making regarding interventions. Methods: Primary articles indexed on PubMed, Web of Science, Embase, Scopus, and Cochrane Library were searched until August 2025. Studies reporting the differences between participants' caries diagnosis process and decision-making with and without AI were included. Studies only reporting algorithm accuracy, in vitro studies, or studies without an outcome related to caries detection with AI support were excluded. No time and language limits were imposed. Outcomes regarding the influence of AI on the diagnostics process and decision-making were retrieved and narratively summarised. Results: Thirteen publications were included. Number of participants ranged from 3 to 74, comprising dentists with varying experience and expertise, and dental students. Results showed that AI enhances sensitivity, though its impact on specificity varies (10 studies). AI can promote unnecessary interventions for early-stage caries lesions (1 study). AI increased assessment time in two out of three cases (3 studies). AI's cost-effectiveness is uncertain, as greater sensitivity did not lead to better economic outcomes (1 study). Clinical significance: AI has the potential to improve diagnostics and influence treatment choices, but current evidence is limited and inconsistent regarding its impact on specificity, decision quality, and cost-effectiveness. Longitudinal studies in clinical settings with long-term follow-ups are needed to understand AI's impact on decision-making.
DOI: 10.6084/m9.figshare.31222765.v1
title: Supplementary Material for: Assessing the Role of Artificial Intelligence in Caries Detection and Clinical Decision-Making: A Scoping Review

description: Background and objective: Artificial Intelligence (AI) support is expected to increase accuracy and improve treatment plans in dentistry. Nevertheless, AI’s ability to promote better oral health care is underexplored. This scoping review explores the influence of AI in supporting dental professionals with caries detection and decision-making regarding interventions. Methods: Primary articles indexed on PubMed, Web of Science, Embase, Scopus, and Cochrane Library were searched until August 2025. Studies reporting the differences between participants' caries diagnosis process and decision-making with and without AI were included. Studies only reporting algorithm accuracy, in vitro studies, or studies without an outcome related to caries detection with AI support were excluded. No time and language limits were imposed. Outcomes regarding the influence of AI on the diagnostics process and decision-making were retrieved and narratively summarised. Results: Thirteen publications were included. Number of participants ranged from 3 to 74, comprising dentists with varying experience and expertise, and dental students. Results showed that AI enhances sensitivity, though its impact on specificity varies (10 studies). AI can promote unnecessary interventions for early-stage caries lesions (1 study). AI increased assessment time in two out of three cases (3 studies). AI's cost-effectiveness is uncertain, as greater sensitivity did not lead to better economic outcomes (1 study). Clinical significance: AI has the potential to improve diagnostics and influence treatment choices, but current evidence is limited and inconsistent regarding its impact on specificity, decision quality, and cost-effectiveness. Longitudinal studies in clinical settings with long-term follow-ups are needed to understand AI's impact on decision-making.
DOI: 10.6084/m9.figshare.31222768
title: Supplementary Material for: The Overlay of Cervical Cancer with Cardiac Metastasis

description: Abstract:
Introduction:
Cervical cancer ranks first for cancer-related deaths among women. Having metastasis to the heart from the cervical cancer holds a poor prognosis with average survival being under six months. This metastasis is an understudied phenomenon. For this crossroad of gynecological oncology and cardio-oncology, this scoping review maps the available evidence on cervical cancer with cardiac metastasis to better understand how, when, where cervical cancer spreads in the heart and what can be done with current diagnostic and treatment modalities.

Methods:
A scoping review was conducted in accordance with PRISMA- ScR guidelines with 41 case reports published between 1965-2025 globally were included through systematic search using pubmed and google scholar. Data on histologic subtype, time of metastasis, clinical symptoms, echocardiogram findings and treatment modalities and outcomes were extracted and studied.

Results:
The women aged between 40-60 years. Squamous cell carcinoma was the most common subtype of cervical cancer. Cardiac metastasis primarily involved right ventricle followed by right atrium, interventricular septum and pericardium. Asymptomatic presentations delayed clinical recognition of metastasis while symptomatic findings led to a misdiagnosis. Echocardiography, MRI, and PET-CT played important diagnostic roles. Treatments included chemotherapy, radiotherapy, immunotherapy, and surgical excision; however, after intervention, prognosis remained poor with death in most cases within 6-9 months.

Conclusion:
This review emphasizes the need for heightened clinical suspicious of cardiac metastasis in patients with advanced or recurrent cervical cancer presenting with cardiac symptoms. Timely detection and treatment may improve clinical outcomes in patients.
DOI: 10.6084/m9.figshare.31222768.v1
title: Supplementary Material for: The Overlay of Cervical Cancer with Cardiac Metastasis

description: Abstract:
Introduction:
Cervical cancer ranks first for cancer-related deaths among women. Having metastasis to the heart from the cervical cancer holds a poor prognosis with average survival being under six months. This metastasis is an understudied phenomenon. For this crossroad of gynecological oncology and cardio-oncology, this scoping review maps the available evidence on cervical cancer with cardiac metastasis to better understand how, when, where cervical cancer spreads in the heart and what can be done with current diagnostic and treatment modalities.

Methods:
A scoping review was conducted in accordance with PRISMA- ScR guidelines with 41 case reports published between 1965-2025 globally were included through systematic search using pubmed and google scholar. Data on histologic subtype, time of metastasis, clinical symptoms, echocardiogram findings and treatment modalities and outcomes were extracted and studied.

Results:
The women aged between 40-60 years. Squamous cell carcinoma was the most common subtype of cervical cancer. Cardiac metastasis primarily involved right ventricle followed by right atrium, interventricular septum and pericardium. Asymptomatic presentations delayed clinical recognition of metastasis while symptomatic findings led to a misdiagnosis. Echocardiography, MRI, and PET-CT played important diagnostic roles. Treatments included chemotherapy, radiotherapy, immunotherapy, and surgical excision; however, after intervention, prognosis remained poor with death in most cases within 6-9 months.

Conclusion:
This review emphasizes the need for heightened clinical suspicious of cardiac metastasis in patients with advanced or recurrent cervical cancer presenting with cardiac symptoms. Timely detection and treatment may improve clinical outcomes in patients.
DOI: 10.57967/hf/7682
title: OpenAlex
DOI: 10.13140/rg.2.2.20207.91041
title: ECM Supplementary Report - ECM-CLARIFICATION-2026-V1.1_v1
DOI: 10.5281/zenodo.16679606
title: Data for Structural motif search across the protein-universe with Folddisco

description: Detecting similar protein structural motifs, functionally crucial short 3D patterns, in large structure collections is computationally prohibitive. Therefore, we developed Folddisco, which overcomes this through an index of position-independent geometric features, including side-chain orientation, combined with a rarity-based scoring system. Folddisco’s compact 1.45-terabyte index of 53 million AFDB50 structures enables querying this database within seconds. It is up to 20-fold faster in querying and 4-fold more storage-efficient than existing methods. Folddisco is more accurate and storage-efficient than state-of-the-art methods, while being an order of magnitude faster. Folddisco is free software available at https://folddisco.foldseek.com and a webserver at https://search.foldseek.com/folddisco
DOI: 10.5281/zenodo.18443780
title: Data for Structural motif search across the protein-universe with Folddisco

description: Detecting similar protein structural motifs, functionally crucial short 3D patterns, in large structure collections is computationally prohibitive. Therefore, we developed Folddisco, which overcomes this through an index of position-independent geometric features, including side-chain orientation, combined with a rarity-based scoring system. Folddisco’s compact 1.45-terabyte index of 53 million AFDB50 structures enables querying this database within seconds. It is up to 20-fold faster in querying and 4-fold more storage-efficient than existing methods. Folddisco is more accurate and storage-efficient than state-of-the-art methods, while being an order of magnitude faster. Folddisco is free software available at https://folddisco.foldseek.com and a webserver at https://search.foldseek.com/folddisco
DOI: 10.5281/zenodo.17470188
title: Exploring Mons Mouton (Lunar South Circumpolar Region): Reconstruction of the 3D Geology and Stratigraphy of a Prominent Lunar Mountain Region (Supplementary material)

description: The Supplementary materials of the paper "Exploring Mons Mouton (Lunar South Circumpolar Region): Reconstruction of the 3D Geology and Stratigraphy of a Prominent Lunar Mountain Region". The paper is under review and planned for publication in early 2026. In data preparation, authors use the GeoCross program (https://github.com/SergKrasilnikov/GeoCross).

Data structure:



MonsMouton_GM.rar - the 3D geological model of Mons Mouton landing site of the Artemis mission (previously VIPER mission). Data could be open in specialized 3D geological modelling software, like LeapFrog.

obj.rar - OBJ files of each stratigraphic layer of the geological model of Mons Mouton landing site. Files could be open in specialized 3D geological modelling software or in open-source 3D modelling software (like Blender or MeshLab).

Figures.rar - high-resolution figures from the paper.

Fig.8sp. AMA_analysis.jpg - the map that illustrates Craters and areas used for CSFD analysis.

AMA_analysis shapefiles.rar - the shapefiles used for the CSFD analysis.

Mons Mouton Geological Model.jpg - figure with geological model of Mons Mouton.
description: The Mons Mouton area of the South Circumpolar Region (SCR) of the Moon (the former landing site region of the now-cancelled NASA VIPER Mission) is one of the nine primary landing sites for the NASA Artemis III Mission. Utilizing a new geologic map of SCR and estimates of the radial thickness decay of ejecta from mapped craters and basins, we present a stratigraphic geological model of the Mons Mouton region. We utilize this framework to assess the three primary goals of SCR exploration: (1) determination of the source of the material, (2) access to South Pole-Aitken (SPA) basin materials, and (3) the analysis of possible access and sampling of water-related volatile deposits. The analysis shows that the SPA basin massif forms the base of the Mons Mouton and is overlain by the Amundsen-Ganswindt (~600-700 m thick) and, in turn, by a composite pre-Nectarian ejecta (~300-450 m) from several craters. Based on model calculations, two craters (diameters of ~4-4.5 km) may penetrate the upper pre-Nectarian crater ejecta layer and excavate Amundsen-Ganswindt basin ejecta, which may contain materials predating the SPA impact and characterizing the earliest stages of the Moon's evolution. Mons Mouton has relatively high solar illumination and is characterized by a significant neutron spectrometer anomaly up to 0.25 wt.% (±0.06, one sigma), similar to those of permanently shadowed craters (e.g., Cabeus, Faustini). This phenomena require an assessment of the geologic setting to provide ground truth for the various hypotheses of origin.
DOI: 10.6084/m9.figshare.30729423
title: Variation in the use efficiency of leaf iron for growth among rice (<i>Oryza sativa</i> L.) cultivars

description: Previously, we reported that even barley, generally known as an Fe-deficiency-tolerant species, exhibits substantial variation in iron (Fe) deficiency tolerance and Fe-use efficiency in photosynthetic functions among cultivars. However, it remains unclear whether this finding is specific to barley or also applies to other grass species, such as rice (<i>Oryza sativa</i> L.), a crop susceptible to Fe deficiency. To characterize leaf Fe-use efficiency in rice, we examined the responses of Japonica and Indica subspecies to Fe deficiency using a hydroponic mixed-plant culture system that allows evaluation of leaf functions independently of the Strategy II-type root Fe acquisition mechanism. Under low-Fe conditions, shoot growth was maintained in the following order: Indica &gt; Japonica paddy rice &gt; Japonica upland rice. The Fe concentration and photosynthetic rate of the newest fully expanded leaves suggested that, if Fe-deficiency acclimation mechanisms exist in rice chloroplasts, they are likely different from those observed in barley. The relative shoot dry weight (Fe-deficient/Fe-sufficient) was greater than the relative root dry weight in Indica rice, but not in Japonica. This indicates that Indica cultivars tend to allocate more resources to shoots than to roots under Fe deficiency. However, their relatively high shoot biomass could not be explained solely by differences in leaf Fe concentration among subspecies. Preferential assimilate allocation to shoots may therefore contribute to the higher leaf Fe-use efficiency of Indica rice.
DOI: 10.6084/m9.figshare.30729423.v1
title: Variation in the use efficiency of leaf iron for growth among rice (<i>Oryza sativa</i> L.) cultivars

description: Previously, we reported that even barley, generally known as an Fe-deficiency-tolerant species, exhibits substantial variation in iron (Fe) deficiency tolerance and Fe-use efficiency in photosynthetic functions among cultivars. However, it remains unclear whether this finding is specific to barley or also applies to other grass species, such as rice (<i>Oryza sativa</i> L.), a crop susceptible to Fe deficiency. To characterize leaf Fe-use efficiency in rice, we examined the responses of Japonica and Indica subspecies to Fe deficiency using a hydroponic mixed-plant culture system that allows evaluation of leaf functions independently of the Strategy II-type root Fe acquisition mechanism. Under low-Fe conditions, shoot growth was maintained in the following order: Indica &gt; Japonica paddy rice &gt; Japonica upland rice. The Fe concentration and photosynthetic rate of the newest fully expanded leaves suggested that, if Fe-deficiency acclimation mechanisms exist in rice chloroplasts, they are likely different from those observed in barley. The relative shoot dry weight (Fe-deficient/Fe-sufficient) was greater than the relative root dry weight in Indica rice, but not in Japonica. This indicates that Indica cultivars tend to allocate more resources to shoots than to roots under Fe deficiency. However, their relatively high shoot biomass could not be explained solely by differences in leaf Fe concentration among subspecies. Preferential assimilate allocation to shoots may therefore contribute to the higher leaf Fe-use efficiency of Indica rice.
DOI: 10.5281/zenodo.18453090
title: KLASSIK DETEKTIV JANRNING BELGILARI VA SHERLOK HOLMS HIKOYALARIDA ULARNING AMALGA OSHISHI

description: Ushbu maqolada klassik detektiv janrning asosiy belgilari va ularning Artur Konan Doylning Sherlok Xolms haqidagi hikoyalarida qanday amalga oshishi tahlil qilinadi. Tadqiqot jarayonida janrning mantiqiy izchillik, jinoyat–tergov–yechim ketma-ketligi, sir va intriga yaratish, shuningdek, qahramonlar tizimi kabi asosiy xususiyatlari o‘rganiladi. Tahlil davomida, Sherlok Holms qahramoni mantiqiy tafakkuri, deduktiv metod va kuzatuvchanligi bilan klassik detektiv janr modelini mukammal namoyon etadi. Dr. Uotsonning hikoyachi sifatidagi roli esa o‘quvchining voqealarni kuzatishini osonlashtiradi va syujetda sirni asta-sekin ochish mexanizmini kuchaytiradi. Shu bilan birga, viktorian jamiyat konteksti va ijtimoiy muammolar hikoyalarni nafaqat mantiqiy, balki badiiy mazmunga boyitadi.

Xulosa sifatida, Sherlok holms hikoyalari klassik detektiv janrning belgilari va strukturaviy qonuniyatlarini namoyon etuvchi asosiy model sifatida baholanadi, bu esa janrni yanada mustahkamlash va rivojlantirishda muhim ahamiyat kasb etadi.
DOI: 10.5281/zenodo.18453089
title: KLASSIK DETEKTIV JANRNING BELGILARI VA SHERLOK HOLMS HIKOYALARIDA ULARNING AMALGA OSHISHI

description: Ushbu maqolada klassik detektiv janrning asosiy belgilari va ularning Artur Konan Doylning Sherlok Xolms haqidagi hikoyalarida qanday amalga oshishi tahlil qilinadi. Tadqiqot jarayonida janrning mantiqiy izchillik, jinoyat–tergov–yechim ketma-ketligi, sir va intriga yaratish, shuningdek, qahramonlar tizimi kabi asosiy xususiyatlari o‘rganiladi. Tahlil davomida, Sherlok Holms qahramoni mantiqiy tafakkuri, deduktiv metod va kuzatuvchanligi bilan klassik detektiv janr modelini mukammal namoyon etadi. Dr. Uotsonning hikoyachi sifatidagi roli esa o‘quvchining voqealarni kuzatishini osonlashtiradi va syujetda sirni asta-sekin ochish mexanizmini kuchaytiradi. Shu bilan birga, viktorian jamiyat konteksti va ijtimoiy muammolar hikoyalarni nafaqat mantiqiy, balki badiiy mazmunga boyitadi.

Xulosa sifatida, Sherlok holms hikoyalari klassik detektiv janrning belgilari va strukturaviy qonuniyatlarini namoyon etuvchi asosiy model sifatida baholanadi, bu esa janrni yanada mustahkamlash va rivojlantirishda muhim ahamiyat kasb etadi.
DOI: 10.6084/m9.figshare.25427737
title: MHD radiative Gr-Ag-TiO<sub>2</sub>/H<sub>2</sub>O ternary hybrid nanofluid flow upon a permeable movable wedge with irreversibility analysis

description: The mass-based ternary hybrid nanofluid model is applied for the magnetohydrodynamic (MHD) flow over a moving wedge with wall permeability, thermal radiation, and convective boundary condition. The masses of the nanoparticles and the base fluid are considered instead of the volumetric concentration of the first, the second, and the third nanoparticles. In the base fluid of water, three types of nanoparticles such as titania, silver, and graphene have been embedded. A similarity method is used to reduce variables and also to turn prominent equations of ternary hybrid nanofluid flow into a simplified form. The shooting technique with the Runge-Kutta-Felhberg method has been used to numerically solve the converted boundary layer equations. The largest Nusselt number is related to the ternary hybrid nanofluid, in which a heat transfer enhancement of 6.55% has been obtained in comparison with regular fluid. The Nusselt number for five shapes of the third nanoparticles is obtained (when both the first and second nanoparticles are spherical), and when the third nanoparticle has the shape of the disk, the most heat transfer has occurred. The highest entropy generation is related to the stagnation point case (<i>m</i> = 1) and the lowest belongs t the downhill case (<i>m</i> = –0.0825).
DOI: 10.6084/m9.figshare.25427737.v1
title: MHD radiative Gr-Ag-TiO<sub>2</sub>/H<sub>2</sub>O ternary hybrid nanofluid flow upon a permeable movable wedge with irreversibility analysis

description: The mass-based ternary hybrid nanofluid model is applied for the magnetohydrodynamic (MHD) flow over a moving wedge with wall permeability, thermal radiation, and convective boundary condition. The masses of the nanoparticles and the base fluid are considered instead of the volumetric concentration of the first, the second, and the third nanoparticles. In the base fluid of water, three types of nanoparticles such as titania, silver, and graphene have been embedded. A similarity method is used to reduce variables and also to turn prominent equations of ternary hybrid nanofluid flow into a simplified form. The shooting technique with the Runge-Kutta-Felhberg method has been used to numerically solve the converted boundary layer equations. The largest Nusselt number is related to the ternary hybrid nanofluid, in which a heat transfer enhancement of 6.55% has been obtained in comparison with regular fluid. The Nusselt number for five shapes of the third nanoparticles is obtained (when both the first and second nanoparticles are spherical), and when the third nanoparticle has the shape of the disk, the most heat transfer has occurred. The highest entropy generation is related to the stagnation point case (<i>m</i> = 1) and the lowest belongs t the downhill case (<i>m</i> = –0.0825).
DOI: 10.6084/m9.figshare.25448661
title: Enhancing mathematical simulation: a novel integro spline quasi-interpolation for nonlocal dynamical systems

description: In this research, we present a novel and computationally streamlined method to tackle nonlocal initial value problems through a combination of modeling and simulation. Our approach utilizes the Integro spline quasi-interpolation technique, renowned for its effectiveness in approximating nonlocal integrals. To validate the efficacy of our proposed method, we conduct comprehensive comparisons with alternative approaches found in the existing literature for integrating nonlocal functions. Additionally, we successfully apply our suggested approach to address nonlocal Riccati, resistor-inductor circuit, and Airy oscillator dynamical systems. The numerical results obtained from these applications convincingly demonstrate the advantages and effectiveness of our developed approach in enhancing mathematical simulation.
DOI: 10.6084/m9.figshare.25448661.v1
title: Enhancing mathematical simulation: a novel integro spline quasi-interpolation for nonlocal dynamical systems

description: In this research, we present a novel and computationally streamlined method to tackle nonlocal initial value problems through a combination of modeling and simulation. Our approach utilizes the Integro spline quasi-interpolation technique, renowned for its effectiveness in approximating nonlocal integrals. To validate the efficacy of our proposed method, we conduct comprehensive comparisons with alternative approaches found in the existing literature for integrating nonlocal functions. Additionally, we successfully apply our suggested approach to address nonlocal Riccati, resistor-inductor circuit, and Airy oscillator dynamical systems. The numerical results obtained from these applications convincingly demonstrate the advantages and effectiveness of our developed approach in enhancing mathematical simulation.
DOI: 10.15468/dl.43dvnj
title: Occurrence Download

description: A dataset containing 619 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crowea exalata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 619 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006220-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.