cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wyjmdygghk.1
title: ЕКОНОМІЧНА ОЦІНКА СУЧАСНИХ ВИКЛИКІВ І МОЖЛИВОСТЕЙ ПІДВИЩЕННЯ КОНКУРЕНТОСПРОМОЖНОСТІ ПІДПРИЄМСТВ У ЦИФРОВОМУ СЕРЕДОВИЩІ

description: Avercheva Nataliia. ECONOMIC ASSESSMENT OF CURRENT CHALLENGES AND OPPORTUNITIES TO INCREASE THE COMPETITIVENESS OF ENTERPRISES IN THE DIGITAL ENVIRONMENT
The purpose of the study in this section is to economically assess the factors that affect the level of competitiveness of domestic enterprises in the context of digital transformation. The subject of the study is the direction of increasing the competitiveness of domestic enterprises based on the means of digital transformation of production and commercial processes. The current problems and features of the activities of enterprises in the context of the digital economy are revealed. A detailed analysis of the negative factors of the implementation of digital technologies at enterprises was carried out, their essence and components of influence were determined, as well as measures to prevent negative factors. The study of negative factors in the implementation of digital technologies made it possible to identify risks and threats to enterprises. By eliminating these risks, enterprises will be able to more effectively implement digital technologies, minimize negative consequences, ensuring sustainable development and their own competitiveness. The competitive advantages of the implementation of digital technologies at enterprises, which are formed on the basis of increased productivity and efficiency, cost optimization, customer service, business management and adaptability to change, were systematized. The features of the current stage of implementation of digital technologies by enterprises of various sectors of the economy, the opportunities and threats of using digitalization tools in operational activities are determined. An economic assessment of the level of implementation of digitalization tools in the field of e-commerce, big data analysis, cloud computing services, and artificial intelligence is carried out. Factors for increasing the competitiveness of enterprises are substantiated based on the development of relevant strategic and tactical plans for digital transformation. It is proven that in the process of digitalization, an enterprise goes through stages of qualitative changes, which are reflected in the improvement of business processes in the production, financial, material, and information spheres of activity, which allows it to adapt to modern conditions of the digital economy and consolidate competitive advantages. In the conditions of the digital economy, Ukrainian companies quickly adapt to new realities and become more technologically advanced, which forms their competitiveness in the global market.
Keywords: enterprises, digital economy, competitiveness, transformation, strategy, digital tools.
DOI: 10.17632/ch3rms53v9
title: Supplementary Table 1 - Periocular Basal Cell Carcinoma Treated with Imiquimod 5%: A Systematic Review of Efficacy, Safety, and Cosmetic Outcomes

description: Supplementary Table 1 for JAAD submission: Search strategy for systematic review
DOI: 10.17632/ch3rms53v9.1
title: Supplementary Table 1 - Periocular Basal Cell Carcinoma Treated with Imiquimod 5%: A Systematic Review of Efficacy, Safety, and Cosmetic Outcomes

description: Supplementary Table 1 for JAAD submission: Search strategy for systematic review
DOI: 10.3535/mgh-a1z-5cx
title: Chenopodium betaceum Andrz.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/9c6-kgt-qzd
title: Chenopodium album L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/cgw-9hv-gr8
title: Mycelis muralis (L.) Dumort.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/51m-l0e-2ha
title: Malva sylvestris L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/vmq-kwa-nv4
title: Achillea coarctata Poir.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/0zb-z5l-95b
title: Echium vulgare L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/242-slw-1ll
title: Cirsium appendiculatum Griseb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/cp4-2th-1kp
title: Echium vulgare L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/y00-sv8-ath
title: Echium vulgare L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/8kg-2lz-kkz
title: Mycelis muralis (L.) Dumort.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/nxh-t8b-2rl
title: Trifolium arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/56y-s5c-y5z
title: Jasione heldreichii Boiss. & Orph.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/8lk-map-rmy
title: Mycelis muralis (L.) Dumort.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/q7k-rj1-t0f
title: Jurinea mollis subsp. mollis

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/64z-9pc-r4c
title: Lapsana communis subsp. adenophora (Boiss.) Rech. fil.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/fgs-5kl-qfs
title: Jurinea mollis subsp. mollis

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/njv-xxx-xzt
title: Cynosurus cristatus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/p7j-bax-3q1
title: Lapsana communis subsp. adenophora (Boiss.) Rech. fil.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/45n-abr-z4j
title: Lapsana communis subsp. adenophora (Boiss.) Rech. fil.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/80l-ql6-tyj
title: Chondrilla juncea L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/gvx-eyf-zj9
title: Althaea hirsuta L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/sry-6av-658
title: Jurinea mollis subsp. mollis

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/yy2-cwc-3cj
title: Jurinea mollis subsp. mollis

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/8ss-9dm-jfs
title: Onosma heterophylla Griseb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/emb-f5n-s08
title: Achillea collina (Wirtg.) Becker ex Heimerl

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/we1-p0g-qbl
title: Tripleurospermum tenuifolium (Kit. ex Schult.) Freyn ex Freyn & E. Brandis

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lml-1ej-fhx
title: Chondrilla juncea L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/p0f-48z-jwp
title: Achillea collina (Wirtg.) Becker ex Heimerl

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/382-mgr-89q
title: Achillea collina (Wirtg.) Becker ex Heimerl

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/n01-m3r-tm5
title: Tripleurospermum tenuifolium (Kit. ex Schult.) Freyn ex Freyn & E. Brandis

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/j89-fqh-l1j
title: Erica spiculifolia Salisb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/mz7-hxe-012
title: Myosotis sylvatica subsp. cyanea (Boiss. & Heldr.) Vestergr.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/rss-1qd-91m
title: Myosotis sylvatica subsp. cyanea (Boiss. & Heldr.) Vestergr.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/16m-we7-jdb
title: Ballota nigra subsp. nigra

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/pjl-pqd-n3r
title: Myosotis arvensis (L.) Hill

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/5zv-sv1-y77
title: Achillea collina (Wirtg.) Becker ex Heimerl

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/xzf-64w-1qs
title: Myosotis arvensis (L.) Hill

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lpb-ysn-mh1
title: Myosotis arvensis (L.) Hill

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/0c1-0yd-1xt
title: Sonchus oleraceus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ej0-gvc-yew
title: Myosotis arvensis (L.) Hill

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.wue4b4
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aldrovandia pallida Goode & Bean, 1896"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112926-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/05s-ee9-49l
title: Echium vulgare L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/sz9-e56-6l4
title: Ballota nigra subsp. nigra

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/eyy-1ew-2ws
title: Cynosurus echinatus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/qy9-17w-492
title: Cynosurus echinatus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.6084/m9.figshare.30011120
title: Remaining Useful Life Prediction of Lithium-Ion Batteries Using Monotone Decomposition

description: Accurately predicting the remaining useful life (RUL) of lithium-ion batteries is vital for efficient equipment health management. Throughout the aging process, the battery capacity exhibits nonlinear behavior, with intermittent capacity regeneration phenomena causing sudden increments between consecutive cycles, posing challenges for modeling and prediction. Despite the frequent use of empirical mode decomposition (EMD) to decompose capacity series, most EMD-based RUL prediction methods encounter limitations including end effects, information leakage issues, and a lack of uncertainty quantification. To address these challenges, we introduce a novel RUL prediction framework, MonoD-GPR-DeepAR, featuring a unique data decomposition algorithm, monotone decomposition (MonoD). MonoD alleviates end effects by decoupling the original capacity signal into a smooth, decreasing trend and a fluctuant capacity regeneration term. Gaussian process regression (GPR) and deep autoregressive (DeepAR) models are then applied to the subseries for prediction, including uncertainty intervals. Validation using simulations and three real lithium-ion battery datasets demonstrates MonoD’s superior performance in capturing the authentic aging trajectory characteristics. Compared to alternative methods, the MonoD-GPR-DeepAR model shows its effectiveness in addressing complexities introduced by capacity regeneration phenomena in lithium-ion battery RUL prediction.
DOI: 10.6084/m9.figshare.30011120.v1
title: Remaining Useful Life Prediction of Lithium-Ion Batteries Using Monotone Decomposition

description: Accurately predicting the remaining useful life (RUL) of lithium-ion batteries is vital for efficient equipment health management. Throughout the aging process, the battery capacity exhibits nonlinear behavior, with intermittent capacity regeneration phenomena causing sudden increments between consecutive cycles, posing challenges for modeling and prediction. Despite the frequent use of empirical mode decomposition (EMD) to decompose capacity series, most EMD-based RUL prediction methods encounter limitations including end effects, information leakage issues, and a lack of uncertainty quantification. To address these challenges, we introduce a novel RUL prediction framework, MonoD-GPR-DeepAR, featuring a unique data decomposition algorithm, monotone decomposition (MonoD). MonoD alleviates end effects by decoupling the original capacity signal into a smooth, decreasing trend and a fluctuant capacity regeneration term. Gaussian process regression (GPR) and deep autoregressive (DeepAR) models are then applied to the subseries for prediction, including uncertainty intervals. Validation using simulations and three real lithium-ion battery datasets demonstrates MonoD’s superior performance in capturing the authentic aging trajectory characteristics. Compared to alternative methods, the MonoD-GPR-DeepAR model shows its effectiveness in addressing complexities introduced by capacity regeneration phenomena in lithium-ion battery RUL prediction.
DOI: 10.6084/m9.figshare.30318350
title: Efficacy of repetitive transcranial magnetic stimulation for post-stroke shoulder pain: a systematic review and meta-analysis

description: Post-stroke shoulder pain (PSSP) is a common complication of stroke survivors, substantially impeding upper-limb functional recovery and diminishing quality of life. Conventional treatments usually target peripheral symptoms and only yield limited or transient benefits. Repetitive transcranial magnetic stimulation (rTMS) has shown analgesic potential in various neuropathic pain conditions, yet its efficacy in PSSP lacks systematic evaluation. Eight databases were systematically searched to identify randomized controlled trials evaluating rTMS interventions for PSSP. The primary outcome was pain intensity measured by the visual analog scale or numeric rating scale. Secondary outcomes included Fugl-Meyer Assessment, Modified Barthel Index, and shoulder range of motion. Risk assessment and data analysis were performed using Review Manager 5.4.1, with heterogeneity quantified by the I<sup>2</sup> statistic and subgroup analyses conducted to explore its potential sources. 12 RCTs involving over 500 participants met the inclusion criteria. Results revealed that rTMS significantly reduced pain intensity compared to control (WMD: −1.62; 95% CI: −2.00, −1.24; <i>p</i> &lt; 0.00001). Additionally, rTMS significantly improved the FMA, MBI scores and shoulder ROM. rTMS appears to be a promising intervention for reducing PSSP and enhancing upper-limb motor function. These findings support incorporating rTMS into stroke rehabilitation protocols. In the future, high-quality, multi-center RCTs with extended follow-up are warranted to optimize stimulation parameters and validate long-term benefits.
DOI: 10.6084/m9.figshare.30318350.v1
title: Efficacy of repetitive transcranial magnetic stimulation for post-stroke shoulder pain: a systematic review and meta-analysis

description: Post-stroke shoulder pain (PSSP) is a common complication of stroke survivors, substantially impeding upper-limb functional recovery and diminishing quality of life. Conventional treatments usually target peripheral symptoms and only yield limited or transient benefits. Repetitive transcranial magnetic stimulation (rTMS) has shown analgesic potential in various neuropathic pain conditions, yet its efficacy in PSSP lacks systematic evaluation. Eight databases were systematically searched to identify randomized controlled trials evaluating rTMS interventions for PSSP. The primary outcome was pain intensity measured by the visual analog scale or numeric rating scale. Secondary outcomes included Fugl-Meyer Assessment, Modified Barthel Index, and shoulder range of motion. Risk assessment and data analysis were performed using Review Manager 5.4.1, with heterogeneity quantified by the I<sup>2</sup> statistic and subgroup analyses conducted to explore its potential sources. 12 RCTs involving over 500 participants met the inclusion criteria. Results revealed that rTMS significantly reduced pain intensity compared to control (WMD: −1.62; 95% CI: −2.00, −1.24; <i>p</i> &lt; 0.00001). Additionally, rTMS significantly improved the FMA, MBI scores and shoulder ROM. rTMS appears to be a promising intervention for reducing PSSP and enhancing upper-limb motor function. These findings support incorporating rTMS into stroke rehabilitation protocols. In the future, high-quality, multi-center RCTs with extended follow-up are warranted to optimize stimulation parameters and validate long-term benefits.
DOI: 10.15468/dl.chastu
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.4834080864313788 44.842650734704456,1.4937077690485663 44.842650734704456,1.4937077690485663 44.852950417321644,1.4834080864313788 44.852950417321644,1.4834080864313788 44.842650734704456))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mollusca"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000911-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccs8qh7
title: CCDC 723369: Experimental Crystal Structure Determination

description: Related Article: H.C.Lopez-Sandoval, N.Barba-Behrens, S.Bernes, N.Farfan-Garcia, H.Hopfl|1997|J.Chem.Soc.,Dalton Trans.||3415|doi:10.1039/a704485b
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccs8qj8
title: CCDC 723370: Experimental Crystal Structure Determination

description: Related Article: H.C.Lopez-Sandoval, N.Barba-Behrens, S.Bernes, N.Farfan-Garcia, H.Hopfl|1997|J.Chem.Soc.,Dalton Trans.||3415|doi:10.1039/a704485b
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc3v6rw
title: CCDC 114568: Experimental Crystal Structure Determination

description: Related Article: C.Belle, I.Gautier-Luneau, G.Gellon, J.-L.Pierre, I.Morgenstern-Badarau, E.Saint-Aman|1997|J.Chem.Soc.,Dalton Trans.||3543|doi:10.1039/a703366d
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccs8qk9
title: CCDC 723371: Experimental Crystal Structure Determination

description: Related Article: H.C.Lopez-Sandoval, N.Barba-Behrens, S.Bernes, N.Farfan-Garcia, H.Hopfl|1997|J.Chem.Soc.,Dalton Trans.||3415|doi:10.1039/a704485b
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc3c7nb
title: CCDC 100181: Experimental Crystal Structure Determination

description: Related Article: C.Belle, I.Gautier-Luneau, G.Gellon, J.-L.Pierre, I.Morgenstern-Badarau, E.Saint-Aman|1997|J.Chem.Soc.,Dalton Trans.||3543|doi:10.1039/a703366d
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc7bgpp
title: CCDC 218602: Experimental Crystal Structure Determination

description: Related Article: N.J.Bailey, J.A.Cooper, H.Gailus, M.L.H.Green, J.T.James, M.A.Leech|1997|J.Chem.Soc.,Dalton Trans.||3579|doi:10.1039/a702758c
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc3hxl2
title: CCDC 104674: Experimental Crystal Structure Determination

description: Related Article: M.-A.David, D.K.Wicht, D.S.Glueck, G.P.A.Yap, L.M.Liable-Sands, A.L.Rheingold|1997|Organometallics|16|4768|doi:10.1021/om970761j
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc3vk7q
title: CCDC 114893: Experimental Crystal Structure Determination

description: Related Article: A.M.Duda, A.Karaczyn, H.Kozlowski, I.O.Fritsky, T.Glowiak, E.V.Prisyazhnaya, T.Yu.Sliva, J.Swiatek-Kozlowska|1997|J.Chem.Soc.,Dalton Trans.||3853|doi:10.1039/a703202a
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.