cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5123905.v1
title: Supplementary Material for: Methylated DNA and Total DNA in Serum Detected by One-Step Methylation-Specific PCR Is Predictive of Poor Prognosis for Breast Cancer Patients

description: <b><i>Purpose:</i></b> We recently developed the one-step methylation-specific PCR (OS-MSP) assay which can detect methylated DNA (met-DNA) in serum with high sensitivity. To examine its prognostic value, we applied this new assay to the detection of met-DNA in serum of breast cancer patients. <b><i>Methods:</i></b> Serum samples taken before surgery from 336 primary invasive breast cancer patients were subjected to the OS-MSP assay for the promoter regions of <i>GSTP1</i>,<i> RASSF1A</i>, and <i>RAR</i>β<i>2</i>. The assay outcome was considered positive when methylation was detected in at least one of these three genes. Total DNA content in serum was also determined. <b><i>Results:</i></b> Of the 336 stage I/II patients, 33 (10%) were positive for met-DNA in serum and showed a significantly worse overall survival (OS) rate at 100 months (78 vs. 95%; p = 0.002) than those with negative findings (n = 303). Patients with high total DNA in serum (n = 112) also showed a significantly worse OS rate at 100 months (86 vs. 97%; p = 0.001) than those with low total DNA in serum (n = 224). Moreover, patients both positive for met-DNA and with high total DNA in serum (n = 18) showed a much worse OS rate at 100 months (65 vs. 94%; p &lt; 0.001) than the others (n = 318). <b><i>Conclusions:</i></b> Met-DNA in serum detected with the OS-MSP assay constitutes a significant and independent prognostic factor, and its combination with total DNA in serum seems to be even more effective for prediction of prognosis for breast cancer patients.
DOI: 10.6084/m9.figshare.156344.v1
title: MANAGEMENT OF OKRA SHOOT AND FRUIT BORER, EARIAS VITTELLA (FABRICIUS) USING CHEMICAL AND BOTANICAL INSECTICIDES FOR DIFFERENT OKRA VARIETIES.pdf. Md. MahS

description: Okra is a common vegetable grown throughout the world. On the other hand, okra shoot and fruit borer is very dangerous pest causing significance damage to okra. The present experiment is conducted to manage the okra shoot and fruit borer using both chemical and botanical insecticides.
DOI: 10.6084/m9.figshare.22226125.v1
title: Data sentiment effects.xlsx

description: Data set consists of sentiment index; mutual fund alpha and Fama-French factors
DOI: 10.6084/m9.figshare.27215028.v1
title: Supplementary Material for: Neonatal outcomes following two cases of maternal CAR-T therapy for high grade B-cell lymphoma

description: Introduction: Chimeric antigen receptor T-cells (CAR-T) targeting CD19 represent a significant advance in treatment for patients with relapsed/refractory B-cell malignancies. Although a significant minority of recipients are women during their reproductive years, there is a paucity of data regarding pregnancy and neonatal outcomes in women previously treated with CAR-T. This is important as maternal T-cells are known to cross the placenta and into breastmilk during pregnancy and breastfeeding, respectively. 
Case presentation: Here we present two successful pregnancies following CAR-T therapy where both neonates were initially breastfed. These represent the first cases of neonates born following CAR-T therapy comprehensively described in medical literature.
Conclusion: Pregnancy following CAR-T therapy does not appear to be associated with adverse neonatal outcomes. Further work is required to delineate the outcomes in this population.
DOI: 10.6084/m9.figshare.28702214.v2
title: Qwen2.5-VL-32B_jailbreak

description: None
DOI: 10.6084/m9.figshare.23617539.v2
title: Source data for supplementary information

description: The therapeutic efficacy of whole tumor cell vaccines (TCV) is modest, which has delayed their translation into personalized immunotherapies in the clinic. Here, we developed an innovative and highly potent TCV platform based on photothermal nanoparticle-loaded tumor cell, which could be rationally applied to diverse tumor types to achieve on-demand boost of anti-tumor immune responses for effectively suppressing tumor growth. During the fabrication process, mild photothermal heating by near-infrared (NIR) laser irradiation induced the nanoparticle-bearing tumor cells to express heat shock proteins as endogenous adjuvants. After a single vaccination, non-invasive NIR laser irradiation further induced mild hyperthermia at vaccination site, which promoted the recruitment, activation, and presentation of dendritic cells. Notably, using a new indicator we termed fluctuation of tumor growth rate (FTGR), we rationally determined appropriate irradiation regimens (including optimized irradiation intervals and times). This innovative TCV platform enables on-demand NIR manipulation of immune responses, and we systematically demonstrated potent therapeutic efficacy against six murine models that mimicked a range of clinical requirements, notably including a sophisticated model based on humanized mice and patient-derived tumor xenografts.
DOI: 10.6084/m9.figshare.25000304.v1
title: SuppData9.network

description: Supplementary Data
DOI: 10.6084/m9.figshare.7422902.v1
title: Supplementary Material for: The Chick Caudolateral Epiblast Acts as a Permissive Niche for Generating Neuromesodermal Progenitor Behaviours

description: Neuromesodermal progenitors (NMps) are a population of bipotent progenitors that maintain competence to generate both spinal cord and paraxial mesoderm throughout the elongation of the posterior body axis. Recent studies have generated populations of NMp-like cells in culture, which have been shown to differentiate to both neural and mesodermal cell fates when transplanted into either mouse or chick embryos. Here, we aim to compare the potential of mouse embryonic stem (ES) cell-derived progenitor populations to generate NMp behaviour against both undifferentiated and differentiated populations. We define NMp behaviour as the ability of cells to: (i) contribute to a significant proportion of the anterior-posterior body axis, (ii) enter into both posterior neural and somitic compartments, and (iii) retain a proportion of the progenitor population within the posterior growth zone. We compare previously identified ES cell-derived NMp-like populations to undifferentiated mouse ES cells and find that they all display similar potentials to generate NMp behaviour in vivo. To assess whether this competence is lost upon further differentiation, we generated anterior and posterior embryonic cell types through the generation of 3D gastruloids and show that NMp competence is lost within the anterior (Brachyury-negative) portion of the gastruloid. Together this suggests that in vitro-derived NMp-like cells maintain an ability to contribute to multiple germ layers that is also present within pluripotent ES cells, rather than acquiring a neuromesodermal competent state through differentiation.
DOI: 10.6084/m9.figshare.24233629.v1
title: <b>Revolutionizing Database Design through a Scalable, Formal, Learning-Powered</b><b>Systematic Tradeoff Analysis</b>

description: Optimizing database design is crucial for the performance of any software systems reliant on databases. However, current database design tools offer limited support for evaluating the performance implications of database designs. Instead, they often rely on single-point solutions guided by static heuristics, offering limited insights. While state-of-the-art design tradeoff analysis tools extend greater assistance, their usage becomes impractical when dealing with large-scale, real-world systems hosting thousands of potential designs. Specifically, the exorbitant cost associated with dynamically analyzing the performance of each conceivable design impedes the scalability of these cutting-edge techniques. In this paper, we introduce an innovative solution grounded in machine learning to efficiently and scalably identify and present optimal tradeoffs within the realm of database designs for object-oriented software systems. Our approach centers on training a transformer model using a dataset of formally analyzed database designs. This trained model is then employed to identify Pareto-optimal design tradeoffs, drastically reducing the number of design candidates requiring dynamic evaluation. These select designs can subsequently undergo evaluation and comparison, with the designs offering the best tradeoffs presented to the user, significantly reducing the time required compared to state-of-the-art techniques.The extensive experiments across various software database systems corroborate our approach's high effectiveness in identifying optimal design alternatives overlooked by leading analysis tools. Additionally, our results demonstrate an impressive 98.21 % improvement in analysis efficiency compared to the current state of the art, reducing tradeoff analysis time from 58 days to just 43 minutes—a remarkable advancement in efficiency.
DOI: 10.6084/m9.figshare.3521927.v1
title: Appendix A. Annual transition matrices obtained from an average of four 400 m2 plots in a nopalera, and from an average of five 1000 m2 plots in a tussock grassland of the southern Chihuahuan desert. Data are from 1992-1998.

description: Annual transition matrices obtained from an average of four 400 m2 plots in a nopalera, and from an average of five 1000 m2 plots in a tussock grassland of the southern Chihuahuan desert. Data are from 1992-1998.
DOI: 10.6084/m9.figshare.3520082.v1
title: Appendix A. Detailed description of the iLand wildfire module.

description: Detailed description of the iLand wildfire module.
DOI: 10.6084/m9.figshare.23259164.v5
title: Genome assembly and annotation of the <em>Adenosma buchneroides</em>

description: Genome assembly and annotation of the <em>Adenosma buchneroides</em>, and the raw sequencing dataset used in the study. The raw dataset include PacBio SMRT sequencing data, Illumina Hiseq data, HiC data, and Illumina RNA-seq data.
DOI: 10.6084/m9.figshare.28652201.v1
title: <b>Is Cognitive-Motor Training with Unspecific Visual Stimuli Appropriate for Improving Neuromuscular Performance? A Study on Volleyball Athletes' Jumping Ability</b>

description: New training methodologies for team sports emphasize the concurrent development of cognitive and neuromuscular abilities to enhance motor execution and decision-making. However, research on performing high-intensity motor-actions with unspecific visual stimuli for neuromuscular optimization remains limited This study evaluated the effects of four unspecific perceptual-cognitive dual tasks on countermovement jump (CMJ) performance—used as an indicator of force application ability—in federated volleyball players (n = 11) and examined how these effects evolved over five sessions. Results showed a significant reduction in jump height across all conditions, with the largest effect in the divided-attention simple reaction-time task (JD-A/SRT, p &lt; .001). The reactive strength index was higher in simple reaction-time (JSRT) and JD-A/SRT tasks (p = .02 and p &lt; .001). In the pairwise comparison between conditions per each session, we observed that this effect occurred in the last two sessions. Reaction time improved significantly across sessions in JD-A/SRT and complex-elective reaction-time (JCERT) tasks (p &lt; .05). These findings suggest that unspecific visual stimuli negatively affect CMJ performance even in trained athletes. While motor interference persists over time, cognitive adaptation occurs. The results highlight the need to investigate sport-specific perceptual-cognitive demands and integrate them into efficient conditioning training programs.
DOI: 10.21954/ou.rd.22123152.v1
title: RAW_SmallRingTensileTest_StainlessSteel316L_ExtensionRate1_1111mmMin

description: This is a part of the test dataset (Digital Image Correlation Images and CSV data) that describes the experiments done at The Open University for the Small Ring Tensile Testing of SS316L performed at various displacement rates. Unprocessed images (.NEF format) start with the prefix 'RAW' while processed images (.TIF format) start with the prefix 'CLEAN'. The following letters after that describe the test type (Small Ring Test or Uniaxial Test), followed by the material. Lastly, after the material, the crosshead extension rate is described. For instance, 'Extension Rate0_3mmMin' refers to an extension rate of 0.3 mm/min and so on. The 'RAW' folders also contain the unprocessed CSV files. The 'CLEAN' folders contain the camera information (capture interval, ISO, etc) as well as the denoised CSV experimental files. The CSV files are denoised with the help of a Butterworth filter.
DOI: 10.6084/m9.figshare.28759232.v2
title: test2

description: test21212123
DOI: 10.4121/uuid:8c4a0604-ac00-4164-a37a-dad8b9d2f580
title: Microwave spectroscopy of spinful Andreev bound states in ballistic semiconductor Josephson junctions

description: Raw data and code that belong to the paper "Microwave spectroscopy of spinful Andreev bound states in ballistic semiconductor Josephson junctions". For usage instructions, see README.txt in experiment and theory folders.
DOI: 10.6084/m9.figshare.7016741.v1
title: Supplementary Material for: Pigment Epithelium-Derived Factor and its Phosphomimetic Mutant Induce JNK-Dependent Apoptosis and P38-Mediated Migration Arrest

description: <b><i>Background/Aims:</i></b> Pigment epithelium-derived factor (PEDF) is a potent endogenous inhibitor of angiogenesis, and a promising anticancer agent. We have previously shown that PEDF can be phosphorylated, and that distinct phosphorylations differentially regulate its physiological functions. We also demonstrated that triple phosphomimetic mutant (EEE-PEDF), has significantly increased antiangiogenic activity, and is much more efficient than WT-PEDF in inhibiting neovascularization and tumor growth. The enhanced antiangiogenic effect was associated with a direct ability to facilitate apoptosis of tumor-residing endothelial cells (EC), and subsequently, disruption of intratumoral vascularization. In the present report, we elucidated the molecular mechanism by which EEE-PEDF exerts more profound effects at the cellular level. <b><i>Methods:</i></b> Here we used Western blotting, as well as <i>in vitro</i> binding, proliferation, apoptosis and migration assays to follow the signaling components responsible for the PEDF and EEE-PEDF effects. <b><i>Results:</i></b> We found that EEE-PEDF suppresses EC proliferation due to caspase-3-dependent apoptosis, and also inhibits migration of the EC much better than WT-PEDF. Although WT-PEDF and EEE-PEDF did not affect proliferation and did not induce apoptosis of cancer cells, these agents efficiently inhibited cancer cell motility, with EEE-PEDF showing stronger effect. The stronger activity of EEE-PEDF was correlated to a better binding to laminin receptors. Furthermore, the proapoptotic and antimigratory activities of WT-PEDF and EEE-PEDF were found respectively regulated by differential activation of two distinct MAPK pathways, namely JNK and p38. We show that JNK and p38 phosphorylation is much higher in cells treated with EEE-PEDF. JNK leads to apoptosis of ECs, while p38 leads to antimigratory effect in both EC and cancer cells. <b><i>Conclusion:</i></b> These results reveal the molecular signaling mechanism by which the phosphorylated PEDF exerts its stronger antiangiogenic, antitumor activities.
DOI: 10.17028/rd.lboro.22657543.v1
title: Supplementary information files for Tracking the solid-state incorporation of Sn into the framework of dealuminated zeolite beta, and consequences for catalyst design

description: Supplementary files for article Tracking the solid-state incorporation of Sn into the framework of dealuminated zeolite beta, and consequences for catalyst design <br> Sn-Beta has emerged as a state-of-the-art catalyst for a range of sustainable chemical transformations. Conventionally prepared by bottom-up hydrothermal synthesis methods, recent research has demonstrated the efficiency of several top-down methods of preparation. One attractive top-down approach is Solid-State Incorporation, where a dealuminated Beta zeolite is physically mixed with a solid Sn precursor, in particular Sn(ii) acetate, prior to heat treatment at 550 °C. This procedure is fast and benign, and metal incorporation requires no solvents and hence produces no aqueous Sn-containing waste streams. Although the performances of these catalysts have been well explored in recent years, the mechanism of heteroatom incorporation remains unknown, and hence, opportunities to improve the synthetic procedure via a molecular approach remain. Herein, we use a range of in situ spectroscopic techniques, alongside kinetic and computational methods, to elucidate the mechanisms that occur during preparation of the catalyst, and then improve the efficacy of the synthetic protocol. Specifically, we find that successful incorporation of Sn into the lattice occurs in several distinct steps, including (i) preliminary coordination of the metal ion to the vacant lattice sites of the zeolite during physical grinding; (ii) partial incorporation of the metal ion into the zeolite framework upon selective decomposition of the acetate ligands, which occurs upon heating the physical mixture in an inert gas flow from room temperature to 550 °C; and (iii) full isomorphous substitution of Sn into the lattice alongside its simultaneous oxidation to Lewis acidic Sn(iv), when the physically mixed material is exposed to air during a short (&lt;1 h) isotherm period. Long isotherm steps are shown to be unnecessary, and fully oxidised Sn(iv) precursors are shown to be unsuitable for successful incorporation into the lattice. We also find that the formation of extra-framework Sn oxides is primarily dependent on the quantity of Sn present in the initial physical mixture. Based on these findings, we demonstrate a faster synthetic protocol for the preparation of Sn-Beta materials via Solid-State Incorporation, and benchmark their catalytic performance for the Meerwein-Ponndorf-Verley transfer hydrogenation reaction and the isomerisation of glucose to fructose. <br>
DOI: 10.6084/m9.figshare.28516655.v2
title: Datasets: fake news multimodal datasets (Twitter and Weibo). Credit: Data 1: (Twitter dataset): The data that support the findings of this study are derived from “Detection and visualization of misleading content on Twitter” at https://github.com/MKLab-ITI/image-verification-corpus, DOI: "10.1007/s13735-017-0143-x." Data 2: (Weibo dataset): The data that support the findings of this study are derived from “EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection” at https://github.com/yaqingwang/EANN-KDD18?tab=readme-ov-file, DOI: “10.1145/3219819.3219903.”

description: This study proposes an innovative approach for multimodal fake news detection that utilizes a stick-breaking smoothed Dirichlet distribution. This approach enables the model to capture intricate, subtle interactions between modalities more effectively, thereby improving detection performance and enhancing the system's adaptability to various forms of fake news content
DOI: 10.6084/m9.figshare.28681436.v1
title: Matlab and Python programs for ray tracing (toolbox not included).

description: Matlab and Python programs for preparing the current data and do the ray tracing for swells.
DOI: 10.6084/m9.figshare.28738025.v1
title: image-shenyang(3).7z

description: Shenyang Image
DOI: 10.6084/m9.figshare.27614073.v1
title: Questionnaire regarding knowledge of third molar extraction

description: this questionnaire consist of 2 parts first part: questions regarding the demographic data and previous history of third molar extraction second part: questions about the knowledge of participants regarding third molar extraction
DOI: 10.26180/16926868.v1
title: National COVID-19 Clinical Evidence Taskforce Process Evaluation_Data

description: The Australian living guidelines for the clinical care of people with COVID-19: What worked, what didn't and why, a mixed methods process evaluation<br>
DOI: 10.6084/m9.figshare.19425533.v1
title: SciDocs-Aspire

description: This is a copy of the SciDocs dataset used in the paper "Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity" by Sheshera Mysore, Arman Cohan, Tom Hope. The dataset was originally released here: https://github.com/allenai/scidocs. The original dataset consists of 7 subtasks, 4 of which are used in our paper. The released data here corresponds to these tasks: Citation prediction, Co-citation prediction, Co-Read prediction, Co-View prediction.<br><br>See further details of the paper, how this dataset was compiled, and how it was used: https://github.com/allenai/aspire<br>The contents of the dataset are as follows: <br><code>abstracts-</code><code><code><code>{scidcite/scidcocite/scidcoread/scidcoview}</code></code>.jsonl</code>: <code>jsonl</code> file containing the paper-id, abstracts, and titles for the queries and candidates which are part of the dataset. <br><br> <code><code>{scidcite/scidcocite/scidcoread/scidcoview}</code>-queries-release.csv</code>: Metadata associated with every query.<code><br></code><code>test-pid2anns-</code><code><code>{scidcite/scidcocite/scidcoread/scidcoview}</code></code><code>.json</code>: JSON file with the query paper-id, candidate paper-ids for every query paper in the dataset. Use these files in conjunction with <code>abstracts-</code><code><code><code><code>{scidcite/scidcocite/scidcoread/scidcoview}</code></code></code>.jsonl</code> to generate files for use in model evaluation. <br><code><code><code><code>{scidcite/scidcocite/scidcoread/scidcoview}</code></code></code>-evaluation_splits.json</code>: Paper-ids for the splits to use in reporting evaluation numbers. <code>aspire/src/evaluation/ranking_eval.py</code> included in the github repo accompanying this dataset implements the evaluation protocol and computes evaluation metrics. Please see the paper for descriptions of the experimental protocol we recommend to report evaluation metrics.
DOI: 10.6084/m9.figshare.28328408.v1
title: Statistical results of the repetitive sequences

description: Statistical results of the repetitive sequences
DOI: 10.6084/m9.figshare.28791848.v1
title: Cortical_Patches_of_Space_Fig2_Intrinsic

description: Processed MATLAB data for code:https://github.com/ccg1988/Auditory_Space_Patch/tree/main/Fig2_Intrinsic
DOI: 10.6084/m9.figshare.3512930.v1
title: Appendix A. A table explaining the abbreviations and units of measure for all variables described in the text.

description: A table explaining the abbreviations and units of measure for all variables described in the text.