cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25116396.v1
title: Expression of mast cell tryptase and immunoglobulin E is increased in cutaneous photodamage: implications for carcinogenesis

description: <b>Purpose:</b> Mast cells, their serine proteinase tryptase, and immunoglobulin E (IgE) can be involved in cutaneous carcinogenesis. <b>Materials and methods:</b> To study the association of tryptase<sup>+</sup> and IgE<sup>+</sup> cells with photodamage and skin cancers 385 adult patients (201 males, 184 females, 75 with immunosuppression) at risk of any type of skin cancer were examined. Skin biopsies were taken from the sun-protected medial arm and from the photodamaged dorsal forearm skin followed by immunohistochemical staining for tryptase and IgE. <b>Results:</b> The results show that tryptase<sup>+</sup> and IgE<sup>+</sup> cells are significantly higher in number in the photodamaged than sun-protected skin, both in immunocompetent and -compromised subjects, and there is a strong correlation between tryptase<sup>+</sup> and IgE<sup>+</sup> cells. The numbers of forearm tryptase<sup>+</sup> and especially IgE<sup>+</sup> cells associated significantly with the forearm photodamage severity. In the logistic regression analysis, the forearm to upper arm ratio of IgE<sup>+</sup> cells produced a univariate odds ratio of 1.521 (<i>p</i> = .010) and a multivariate one of 3.875 (<i>p</i> = .047) for the history of squamous cell carcinoma. The serum level of total IgE correlated significantly to the IgE to tryptase ratio in both skin sites. <b>Conclusions:</b> Therefore, IgE<sup>+</sup> mast cells participate in photodamage and carcinogenesis, though it is unclear whether they are tumor-protective or -causative.
DOI: 10.6084/m9.figshare.25602607
title: Artificial intelligence-based prescription of personalized scalp cosmetics improved the scalp condition: efficacy results from 100 participants

description: <b>Background:</b> Scalp-related symptoms such as dandruff and itching are common with diverse underlying etiologies. We previously proposed a novel classification and scoring system for scalp conditions, called the scalp photographic index (SPI); it grades five scalp features using trichoscopic images with good reliability. However, it requires trained evaluators.<b>Aim:</b> To develop artificial intelligence (AI) algorithms for assessment of scalp conditions and to assess the feasibility of AI-based recommendations on personalized scalp cosmetics.<b>Methods:</b> Using EfficientNet, convolutional neural network (CNN) models (SPI-AI) ofeach scalp feature were established. 101,027 magnified scalp images graded according to the SPI scoring were used for training, validation, and testing the model Adults with scalp discomfort were prescribed shampoos and scalp serums personalized according to their SPI-AI-defined scalp types. Using the SPI, the scalp conditions were evaluated at baseline and at weeks 4, 8, and 12 of treatment.<b>Results: </b>The accuracies of the SPI-AI for dryness, oiliness, erythema, folliculitis, and dandruff were 91.3%, 90.5%, 89.6%, 87.3%, and 95.2%, respectively. Overall, 100 individuals completed the 4-week study; 43 of these participated in an extension study until week 12. The total SPI score decreased from 32.70 ± 7.40 at baseline to 15.97 ± 4.68 at week 4 (<i>p</i> &lt; 0.001). The efficacy was maintained throughout 12 weeks.<b>Conclusions:</b> SPI-AI accurately assessed the scalp condition. AI-based prescription of tailored scalp cosmetics could significantly improve scalp health.
DOI: 10.6084/m9.figshare.25602607.v1
title: Artificial intelligence-based prescription of personalized scalp cosmetics improved the scalp condition: efficacy results from 100 participants

description: <b>Background:</b> Scalp-related symptoms such as dandruff and itching are common with diverse underlying etiologies. We previously proposed a novel classification and scoring system for scalp conditions, called the scalp photographic index (SPI); it grades five scalp features using trichoscopic images with good reliability. However, it requires trained evaluators.<b>Aim:</b> To develop artificial intelligence (AI) algorithms for assessment of scalp conditions and to assess the feasibility of AI-based recommendations on personalized scalp cosmetics.<b>Methods:</b> Using EfficientNet, convolutional neural network (CNN) models (SPI-AI) ofeach scalp feature were established. 101,027 magnified scalp images graded according to the SPI scoring were used for training, validation, and testing the model Adults with scalp discomfort were prescribed shampoos and scalp serums personalized according to their SPI-AI-defined scalp types. Using the SPI, the scalp conditions were evaluated at baseline and at weeks 4, 8, and 12 of treatment.<b>Results: </b>The accuracies of the SPI-AI for dryness, oiliness, erythema, folliculitis, and dandruff were 91.3%, 90.5%, 89.6%, 87.3%, and 95.2%, respectively. Overall, 100 individuals completed the 4-week study; 43 of these participated in an extension study until week 12. The total SPI score decreased from 32.70 ± 7.40 at baseline to 15.97 ± 4.68 at week 4 (<i>p</i> &lt; 0.001). The efficacy was maintained throughout 12 weeks.<b>Conclusions:</b> SPI-AI accurately assessed the scalp condition. AI-based prescription of tailored scalp cosmetics could significantly improve scalp health.
DOI: 10.6084/m9.figshare.25116396
title: Expression of mast cell tryptase and immunoglobulin E is increased in cutaneous photodamage: implications for carcinogenesis

description: <b>Purpose:</b> Mast cells, their serine proteinase tryptase, and immunoglobulin E (IgE) can be involved in cutaneous carcinogenesis. <b>Materials and methods:</b> To study the association of tryptase<sup>+</sup> and IgE<sup>+</sup> cells with photodamage and skin cancers 385 adult patients (201 males, 184 females, 75 with immunosuppression) at risk of any type of skin cancer were examined. Skin biopsies were taken from the sun-protected medial arm and from the photodamaged dorsal forearm skin followed by immunohistochemical staining for tryptase and IgE. <b>Results:</b> The results show that tryptase<sup>+</sup> and IgE<sup>+</sup> cells are significantly higher in number in the photodamaged than sun-protected skin, both in immunocompetent and -compromised subjects, and there is a strong correlation between tryptase<sup>+</sup> and IgE<sup>+</sup> cells. The numbers of forearm tryptase<sup>+</sup> and especially IgE<sup>+</sup> cells associated significantly with the forearm photodamage severity. In the logistic regression analysis, the forearm to upper arm ratio of IgE<sup>+</sup> cells produced a univariate odds ratio of 1.521 (<i>p</i> = .010) and a multivariate one of 3.875 (<i>p</i> = .047) for the history of squamous cell carcinoma. The serum level of total IgE correlated significantly to the IgE to tryptase ratio in both skin sites. <b>Conclusions:</b> Therefore, IgE<sup>+</sup> mast cells participate in photodamage and carcinogenesis, though it is unclear whether they are tumor-protective or -causative.
DOI: 10.57702/47y45hns
title: IMDB-WIKI-101

description: The IMDB-WIKI-101 dataset is a large-scale face image dataset for age estimation.
DOI: 10.6084/m9.figshare.28039033.v1
title: Efficacy and safety of compound glycyrrhizin combined with topical minoxidil for alopecia areata: a systematic review and meta-analysis of randomized controlled trials

description: Alopecia areata (AA) is a common autoimmune skin disease. Our study aimed to systematically evaluate the efficacy and safety of compound glycyrrhizin (CG) combined with topical minoxidil therapy in treating AA. We searched the PubMed, EMBASE, Cochrane Library, Web of Science, CNKI, Wanfang, and VIP databases. Randomized controlled trials (RCTs) on CG combined with topical minoxidil therapy compared with topical minoxidil therapy alone for AA were included. The Cochrane Collaborative Network Tool was used to assess the risk of bias. Statistical analysis was completed using RevMan5.3 software and Stata 15.0 software. The GRADE system was used to evaluate the quality of evidence for outcomes. 11 RCTs and 1189 patients were included. Compared with topical minoxidil therapy alone, CG combined with topical minoxidil therapy was more effective at improving the clinical efficacy (RR = 1.36, 95% CI [1.27, 1.45], <i>p</i> &lt; 0.00001). The SALT score (MD = −10.09, 95% CI [−12.89, −7.30], <i>p</i> &lt; 0.00001), serum TNF-α levels (MD = −0.99, 95% CI [−1.19, −0.39], <i>p</i> &lt; 0.00001), serum IL-12 levels (MD = −8.84, 95% CI [−11.20, −6.47], <i>p</i> &lt; 0.00001) and serum IFN-γ levels (MD = −7.44, 95% CI [−11.51, −3.37], <i>p</i> = 0.0003) were reduced, and the serum TGF-β1 levels (MD = 2.40, 95% CI [1.24, 3.57], <i>p</i> &lt; 0.0001) were increased. There were no significant differences in reported adverse events, including irritant contact dermatitis (RR = 0.51, 95% CI [0.25, 1.01], <i>p</i> = 0.05),’ gastrointestinal reactions (RR = 2.47, 95% CI [0.49, 12.55], <i>p</i> = 0.28), lower limb edema (RR = 2.60, 95% CI [0.61, 11.06], <i>p</i> = 0.20), facial edema (RR = 2.33, 95% CI [0.61, 8.93], <i>p</i> = 0.22), or localized itching (RR = 0.56, 95% CI [0.18, 1.75], <i>p</i> = 0.32), between the two groups. The current evidence indicates that CG combined with topical minoxidil therapy is effective and safe for AA. However, owing to the suboptimal quality of the included studies, more high-quality and large-scale RCTs are needed for comprehensive analysis and further validation.
DOI: 10.6084/m9.figshare.24935899
title: A systematic review and meta-analysis of efficacy and safety of compound glycyrrhizin combined with second-generation non-sedated antihistamine for the treatment of chronic urticaria

description: Chronic urticaria (CU) is a prevalent dermatologic disease that negatively affects life, current therapies remain suboptimal. Hence, there is an urgent need to identify effective and safe treatment. Assess the efficacy and safety of compound glycyrrhizin (CG) combined with second-generation nonsedated antihistamine for the treatment of CU. Nine databases were queried to screen RCTs related. Two reviewers independently assessed the risk of bias using Cochrane Collaboration. Primary objective was the total efficiency rate, while secondary was rate of recurrence, adverse events, and cure. Statistical analyses using Review Manager 5.4 and Stata17. Twenty-four RCTs were identified. Significant differences were noted in rate of total efficiency (<i>n</i> = 2649, RR = 1.36, 95%CI:1.30–1.43, <i>p</i> &lt; 0.00001), cure (<i>n</i> = 2649, RR = 1.54, 95%CI:1.42–1.66, <i>p</i> &lt; 0.00001) and recurrence (<i>n</i> = 446, RR = 0.34, 95%CI:0.20–0.58, <i>p</i> &lt; 0.00001) between the combination of CG with second-generation non-sedated antihistamine and antihistamine monotherapy. Contrastingly, adverse events rate (<i>n</i> = 2317, RR = 0.76, 95% CI:0.59–0.97, <i>p</i> = 0.03) was comparable between the two groups. Our results indicated that CG combined with second-generation non-sedated antihistamine could significantly mitigate the symptoms in CU compared with antihistamine monotherapy. No serious adverse events were reported. CG combined with second-generation nonsedated antihistamine is effective for CU. Nevertheless, higher-quality studies are warranted to validate our results.
DOI: 10.6084/m9.figshare.24935899.v1
title: A systematic review and meta-analysis of efficacy and safety of compound glycyrrhizin combined with second-generation non-sedated antihistamine for the treatment of chronic urticaria

description: Chronic urticaria (CU) is a prevalent dermatologic disease that negatively affects life, current therapies remain suboptimal. Hence, there is an urgent need to identify effective and safe treatment. Assess the efficacy and safety of compound glycyrrhizin (CG) combined with second-generation nonsedated antihistamine for the treatment of CU. Nine databases were queried to screen RCTs related. Two reviewers independently assessed the risk of bias using Cochrane Collaboration. Primary objective was the total efficiency rate, while secondary was rate of recurrence, adverse events, and cure. Statistical analyses using Review Manager 5.4 and Stata17. Twenty-four RCTs were identified. Significant differences were noted in rate of total efficiency (<i>n</i> = 2649, RR = 1.36, 95%CI:1.30–1.43, <i>p</i> &lt; 0.00001), cure (<i>n</i> = 2649, RR = 1.54, 95%CI:1.42–1.66, <i>p</i> &lt; 0.00001) and recurrence (<i>n</i> = 446, RR = 0.34, 95%CI:0.20–0.58, <i>p</i> &lt; 0.00001) between the combination of CG with second-generation non-sedated antihistamine and antihistamine monotherapy. Contrastingly, adverse events rate (<i>n</i> = 2317, RR = 0.76, 95% CI:0.59–0.97, <i>p</i> = 0.03) was comparable between the two groups. Our results indicated that CG combined with second-generation non-sedated antihistamine could significantly mitigate the symptoms in CU compared with antihistamine monotherapy. No serious adverse events were reported. CG combined with second-generation nonsedated antihistamine is effective for CU. Nevertheless, higher-quality studies are warranted to validate our results.
DOI: 10.6084/m9.figshare.26229571
title: The development and initial evaluation of conversation cards for optimizing consultations for patients with atopic dermatitis

description: <b>Purpose:</b> Patients with atopic dermatitis (AD) require both skills and support to effectively manage life with the disease. Here, we developed an agenda-setting tool for consultations with patients with AD to establish a collaborative agenda that enhances patient involvement and prioritizes on self-management support. <b>Materials and methods:</b> Using the design thinking process, we included 64 end-users (patients and healthcare professionals (HCPs)) across the different phases of design thinking. We identified seven overall categories that patients find important to discuss during consultations, which informed the development of a tool for co-creating a consultation agenda (conversation cards, CCs). <b>Results:</b> Through iterative user testing of the CCs, patients perceived the cards as both inspiring and an invitation from HCPs to openly discuss their needs during consultations. Healthcare professionals have found the CCs easy to use, despite the disruption to the typical consultation process. <b>Conclusion:</b> In summary, the CCs provide a first-of-its-kind agenda-setting tool for patients with AD. They offer a simple and practical method to establishing a shared agenda that focuses on the patients’ needs and are applicable within real-world clinical settings.
DOI: 10.6084/m9.figshare.26229571.v1
title: The development and initial evaluation of conversation cards for optimizing consultations for patients with atopic dermatitis

description: <b>Purpose:</b> Patients with atopic dermatitis (AD) require both skills and support to effectively manage life with the disease. Here, we developed an agenda-setting tool for consultations with patients with AD to establish a collaborative agenda that enhances patient involvement and prioritizes on self-management support. <b>Materials and methods:</b> Using the design thinking process, we included 64 end-users (patients and healthcare professionals (HCPs)) across the different phases of design thinking. We identified seven overall categories that patients find important to discuss during consultations, which informed the development of a tool for co-creating a consultation agenda (conversation cards, CCs). <b>Results:</b> Through iterative user testing of the CCs, patients perceived the cards as both inspiring and an invitation from HCPs to openly discuss their needs during consultations. Healthcare professionals have found the CCs easy to use, despite the disruption to the typical consultation process. <b>Conclusion:</b> In summary, the CCs provide a first-of-its-kind agenda-setting tool for patients with AD. They offer a simple and practical method to establishing a shared agenda that focuses on the patients’ needs and are applicable within real-world clinical settings.
DOI: 10.6084/m9.figshare.26343806
title: Association between genetically proxied PPARG activation and psoriasis vulgaris: a Mendelian randomization study

description: Psoriasis is a common autoimmune disease in clinical practice, and previous observational studies have suggested that PPARG agonists such as Pioglitazone may be potential therapeutic agents. However, due to interference from various confounding factors, different observational studies have not reached a unified conclusion. We aim to evaluate the potential use of PPARG agonists for treating psoriasis from a new perspective through drug-targeted Mendelian randomization (MR) analysis. This study includes data on 8,876 individuals for acute myocardial infarction from GWAS, and LDL cholesterol data from 343,621 Europeans. FinnGen contributed psoriasis vulgaris data for 403,972 individuals. The <i>DrugBank10</i> databases function to identify genes encoding protein products targeted by active constituents of lipid-modifying targets. A two-sample MR analysis and summary-data-based MR (SMR) analysis estimated the associations between expressions of drug target genes and symptoms of psoriasis vulgaris. A multivariable MR study was further conducted to examine if the observed association was direct association. SMR analysis revealed that enhanced PPARG gene expression in the blood (equivalent to a one standard deviation increase) was a protective factor for psoriasis vulgaris (beta = −0.2017, se = 0.0723, <i>p</i> = 0.0053). Besides, there exists an MR association between LDL mediated by PPARG and psoriasis vulgaris outcomes (beta = −3.9169, se = 0.5676, <i>p</i> = 5.17E-12). These results indicate that PPARG is a therapeutic target for psoriasis, suggesting that psoriasis may be a potential indication for PPARG agonists. This study confirms that therapeutic activation of PPARG helps suppress the development of psoriasis. Psoriasis may be a new indication for PPARG agonists, such as Pioglitazone. In the future, new anti-psoriatic drugs could be developed targeting PPARG.
DOI: 10.6084/m9.figshare.26343806.v1
title: Association between genetically proxied PPARG activation and psoriasis vulgaris: a Mendelian randomization study

description: Psoriasis is a common autoimmune disease in clinical practice, and previous observational studies have suggested that PPARG agonists such as Pioglitazone may be potential therapeutic agents. However, due to interference from various confounding factors, different observational studies have not reached a unified conclusion. We aim to evaluate the potential use of PPARG agonists for treating psoriasis from a new perspective through drug-targeted Mendelian randomization (MR) analysis. This study includes data on 8,876 individuals for acute myocardial infarction from GWAS, and LDL cholesterol data from 343,621 Europeans. FinnGen contributed psoriasis vulgaris data for 403,972 individuals. The <i>DrugBank10</i> databases function to identify genes encoding protein products targeted by active constituents of lipid-modifying targets. A two-sample MR analysis and summary-data-based MR (SMR) analysis estimated the associations between expressions of drug target genes and symptoms of psoriasis vulgaris. A multivariable MR study was further conducted to examine if the observed association was direct association. SMR analysis revealed that enhanced PPARG gene expression in the blood (equivalent to a one standard deviation increase) was a protective factor for psoriasis vulgaris (beta = −0.2017, se = 0.0723, <i>p</i> = 0.0053). Besides, there exists an MR association between LDL mediated by PPARG and psoriasis vulgaris outcomes (beta = −3.9169, se = 0.5676, <i>p</i> = 5.17E-12). These results indicate that PPARG is a therapeutic target for psoriasis, suggesting that psoriasis may be a potential indication for PPARG agonists. This study confirms that therapeutic activation of PPARG helps suppress the development of psoriasis. Psoriasis may be a new indication for PPARG agonists, such as Pioglitazone. In the future, new anti-psoriatic drugs could be developed targeting PPARG.
DOI: 10.57702/jbakz4ub
title: CTSN: Predicting Cloth Deformation for Skeleton-based Characters with a Two-stream Skinning Network

description: The dataset used for training and testing the proposed two-stream skinning-based network for predicting cloth deformation.
DOI: 10.57702/5n77k1i0
title: Motion planning for parabolic equations using flatness and finite-diﬀerence approximations

description: The dataset is used for motion planning for parabolic equations using flatness and finite-diﬀerence approximations.
DOI: 10.57702/guedrhci
title: MuJoCo Continuous Control Tasks

description: The dataset used in the paper is a collection of data from the MuJoCo continuous control tasks.
DOI: 10.57702/erjwrg6m
title: Hamlyn Centre Laparoscopic / Endoscopic Video Datasets

description: A collection of laparoscopic and endoscopic video datasets for research purposes.
DOI: 10.57702/7r05mp1d
title: ReasonDet

description: Reasoning detection dataset for multimodal large language models
DOI: 10.57702/0moig2a9
title: MEVADA

description: A fully automated system that estimates the camera intrinsics, the ground plane, and physical distances between people from a single RGB image or video.
DOI: 10.57702/kiwnubvj
title: MNIST handwritten data set

description: MNIST handwritten data set used for training and testing the proposed method, containing 60,000 examples for training and 10,000 samples for testing.
DOI: 10.57702/9udn412i
title: Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke

description: A framework to generate a predicted perfusion map from CT and CTA images in patients with acute ischemic stroke
DOI: 10.57702/tekbktbi
title: Colors in Context (CIC) dataset

description: The Colors in Context (CIC) dataset is a referential communication task where participants describe items in a visual display using a free-form chat interface.
DOI: 10.57702/glhq4o4s
title: Twigraph: Discovering and Visualizing Influential Words between Twitter Profiles

description: The dataset used in the paper is a collection of 1.1M tweets from Twitter, with approximately 3000 tweets per user from various domains such as politics, sports, entertainment, and education.
DOI: 10.57702/r2xckzu2
title: Gearbox Vibration Signals (20 KHz)

description: The dataset used in this paper for gearbox fault diagnosis, consisting of vibration signals from a two-stage gearbox with nine different gear health conditions, sampled at 20 KHz.
DOI: 10.15468/dl.qmj9m3
title: Occurrence Download

description: A dataset containing 51421691 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-129.85317 21.51245,-61.65072 21.51245,-61.65072 49.34485,-129.85317 49.34485,-129.85317 21.51245))"
 ]
}

 The dataset includes 51421691 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037318-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/4hyxxtgg
title: Gearbox Vibration Signals (900 KHz)

description: The dataset used in this paper for gearbox fault diagnosis, consisting of vibration signals from a two-stage gearbox with nine different gear health conditions, sampled at 900 KHz.
DOI: 10.57702/awdo8nvf
title: Pure-Gauge SU(3) Lattice Gauge Theories

description: The dataset used in this paper is a collection of pure-gauge SU(3) lattice gauge theories with the Wilson gauge action.
DOI: 10.57702/nlnppncf
title: Pure-Gauge SU(N) Yang-Mills Theories

description: The dataset used in this paper is a collection of pure-gauge SU(N) Yang-Mills theories with milder topological freezing.
DOI: 10.57702/7t9bdzpa
title: Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention

description: The proposed model consists of three subsystems: Feature Extractor, Attention-based Classiﬁcation Model, and Lexical Stress Error Detector.