bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengembangan Digital Marketing untuk UMKM Kreatif dan Inovatif di Desa Sampiran Kecamatan Talun Kabupaten Cirebon
Authors: Ade Johar Maturidi  , Yunita Indah Lestari  , Dina Fatimah Azzahra  
Published: July 2024

Digital Marketing refers to a series of online marketing and product sales techniques used to advertise goods and services through various digital platforms. This requires the use of technology, digital channels and social media as a platform to reach audiences or targets, build brand awareness or brand image, and generate significant sales. Digital marketing development is very important, especially for UMKM players, Micro, Small and Medium Enterprises (UMKM) are Micro, Small and Medium Enterprises (UMKM) which are one of the business sectors that have a large role in a country's economy. They usually consist of smaller companies with fewer employees and a more limited operational scope. Therefore, it is very necessary to develop digital marketing for UMKM players to be more creative and innovative, considering that we are currently in a position of adjustment after the Covid-19 pandemic. Many UMKM experienced a decline in sales and were unable to develop and even went bankrupt. This condition makes UMKM players have to think about how to survive for the sake of their business continuity. It is known that many UMKM players have not followed digital developments to the fullest, especially due to a lack of knowledge about digital marketing. The aim of the digital marketing development workshop for UMKM in Sampiran Village, Talun District, Cirebon Regency is to provide digital marketing training assistance as an effort to develop and expand technology-based (digital) marketing networks. After carrying out this service, it is hoped that UMKM actors in the area will continue to work together for the sustainability of UMKM and community economic development.
Implementasi Tunelling pada Perancangan Sistem Peringkasan dan Klasifikasi Berita Otomatis menggunakan Textrank dan KNN
Authors: Falahah Falahah , Ari Fajar Santoso  , Abdullah Fajar  
Published: July 2024

News summarization is very important in the news analysis process. However, in the summarization process, there are often obstacles such as the large number of news stories and the need for news classification. This research aims to build a simple web-based system that can be used to summarize and classify news which will be very useful in the news analysis process. The proposed summarization method is Textrank, and the news classification method that will be used is KNN. This system is expected to provide an automatic summarization function to make it easier to analyze news content. The data that will be used as the basis for classification modeling is sports news in 3 months, and the classification that will be used to determine whether the news includes sports news in three branches, namely football, rackets or basketball. Testing of the summarization model using textrank was carried out by applying ROUGE-1 and ROUGE-2, with results of 0.79 and 0.67. Meanwhile, testing the classification model using KNN with k=3 and k=5 is 0.9866 and 0.9666 so k=3 will be used. This system will be built using the web scrapping library, textrank, stopword from PySastrawi, scikit-learn for the classification module using the KNN algorithm, and ngrok for publishing web-based applications. By using ngrok, we can expose the application through internet with a temporary public url without hosting required
The Distribution of Pc5 Ultralow-frequency Waves at Geostationary Orbit
Authors: Loto’aniu Paul T. M. , Inceoglu F. 
Published: July 2024

Abstract
Using GOES magnetometer data spanning over 30 yr, we study the distribution of Pc5 ultralow-frequency waves at geosynchronous orbit. The CLEAN algorithm was applied to detect narrowband Pc5 waves. This method was first used in astronomical radio interferometry, but has since been applied to many other areas. The algorithm allows for identification of multiple individual peaks within the same power spectral density. We found close to 30,000 events in each magnetic field component in field-aligned coordinates. With some exceptions, results were in agreement with previous studies. Wave occurrence along magnetic local time (MLT) was higher in the 18–23 MLT sector. However, the largest accumulated wave amplitudes were observed on the dayside, peaking close to local noon. As expected, wave amplitudes were larger during more active solar wind conditions. For the radial and parallel components, amplitudes were maximum at the interplanetary magnetic field clock angle of −30° to −45°. The resultant database of Pc5 ultralow-frequency wave events can be used to constrain radiation belt models, while the CLEAN method provides a unique technique to automatically detect narrowband plasma waves in the magnetosphere and beyond.
The Next Generation Deep Extragalactic Exploratory Public Near-infrared Slitless Survey Epoch 1 (NGDEEP-NISS1): Extragalactic Star-formation and Active Galactic Nuclei at 0.5 < z < 3.6
Authors: Pirzkal Nor , Rothberg Barry , Papovich Casey , Shen Lu , Leung Gene C. K. , Bagley Micaela B. , Finkelstein Steven L. , Vanderhoof Brittany N. , Lotz Jennifer M. , Koekemoer Anton M. , Hathi Nimish P. , Cheng Yingjie , Cleri Nikko J. , Grogin Norman A. , Yung L. Y. Aaron , Dickinson Mark , Ferguson Henry C. , Gardner Jonathan P. , Jung Intae , Kartaltepe Jeyhan S. , Ryan Russell , Simons Raymond C. , Ravindranath Swara , Berg Danielle A. , Backhaus Bren E. , Casey Caitlin M. , Castellano Marco , Chávez Ortiz Óscar A. , Chworowsky Katherine , Cox Isabella G. , Davé Romeel , Davis Kelcey , Estrada-Carpenter Vicente , Fontana Adriano , Fujimoto Seiji , Giavalisco Mauro , Grazian Andrea , Hutchison Taylor A. , Jaskot Anne E. , Kewley Lisa J. , Kirkpatrick Allison , Kocevski Dale D. , Larson Rebecca L. , Matharu Jasleen , Natarajan Priyamvada , Pentericci Laura , Pérez-González Pablo G. , Snyder Gregory F. , Somerville Rachel S. , Trump Jonathan R. , Wilkins Stephen M. 
Published: July 2024

Abstract
The Next Generation Deep Extragalactic Exploratory Public (NGDEEP) survey program was designed specifically to include Near Infrared Slitless Spectroscopic observations (NGDEEP-NISS) to detect multiple emission lines in as many galaxies as possible and across a wide redshift range using the Near Infrared Imager and Slitless Spectrograph. We present early results obtained from the first set of observations (Epoch 1, 50% of the allocated orbits) of this program (NGDEEP-NISS1). Using a set of independently developed calibration files designed to deal with a complex combination of overlapping spectra, multiple position angles, and multiple cross filters and grisms, in conjunction with a robust and proven algorithm for quantifying contamination from overlapping dispersed spectra, NGDEEP-NISS1 has achieved a 3σ sensitivity limit of 2 × 10−18 erg s−1 cm−2. We demonstrate the power of deep wide field slitless spectroscopy (WFSS) to characterize the star formation rates, and metallicity ([O iii]/Hβ), and dust content, of galaxies at 1 < z < 3.5. The latter showing intriguing initial results on the applicability and assumptions made regarding the use of Case B recombination. Further, we identify the presence of active galactic nuclei and infer the mass of their supermassive black holes using broadened restframe Mg ii and Hβ emission lines. The spectroscopic results are then compared with the physical properties of galaxies extrapolated from fitting spectral energy distribution models to photometry alone. The results clearly demonstrate the unique power and efficiency of WFSS at near-infrared wavelengths over other methods to determine the properties of galaxies across a broad range of redshifts.
Neutrino Mass Constraint from an Implicit Likelihood Analysis of BOSS Voids
Authors: Thiele Leander , Massara Elena , Pisani Alice , Hahn ChangHoon , Spergel David N. , Ho Shirley , Wandelt Benjamin 
Published: July 2024

Abstract
Cosmic voids identified in the spatial distribution of galaxies provide complementary information to two-point statistics. In particular, constraints on the neutrino mass sum, ∑m

ν
, promise to benefit from the inclusion of void statistics. We perform inference on the CMASS Northern Galactic Cap sample of the third-generation Sloan Digital Sky Survey/Baryon Oscillation Spectroscopic Survey (BOSS) with the aim of constraining ∑m

ν
. We utilize the void size function, the void–galaxy cross power spectrum, and the galaxy auto power spectrum. To extract constraints from these summary statistics we use a simulation-based approach, specifically implicit likelihood inference. We populate approximate gravity-only, particle-neutrino cosmological simulations with an expressive halo occupation distribution model. With a conservative scale cut of

k

max

=
0.15

h

Mpc

−
1

and a Planck-inspired Lambda cold dark matter prior, we find upper bounds on ∑m

ν
of 0.43 and 0.35 eV from the galaxy auto power spectrum and the full data vector, respectively (95% credible interval). Relaxing the scale cut to

k

max

=
0.2

h

Mpc

−
1

, we find 0.28 and 0.32 eV. Generally, void statistics appear to add modest but nonzero information beyond the auto power spectrum. We also substantiate the usual assumption that the void size function is Poisson distributed.
The Atmosphere of HD 149026b: Low Metal Enrichment and Weak Energy Transport
Authors: Gagnebin Anna , Mukherjee Sagnick , Fortney Jonathan J. , Batalha Natasha E. 
Published: July 2024

Abstract
Recent JWST eclipse spectra of the high-density hot Saturn HD 149026b between 2.35 and 5.08 μm have allowed for in-depth study of its atmosphere. To understand its atmospheric properties, we have created a grid of 1D radiative-convective–thermochemical–equilibrium atmosphere models and spectra with PICASO 3.0. In agreement with previous work, we find that the presence of gaseous TiO creates a thermal inversion, which is inconsistent with the data. The presence of gaseous VO, however, which condenses at temperatures 200 K cooler, does not cause such inversions but alters the temperature–pressure profile of the atmosphere. We estimate an atmospheric metallicity of

14

−
8

+
12

×

solar without VO and

20

−
8

+
11

×

solar with VO, a factor of ∼10 times smaller than previous work from Bean et al., who relied on atmosphere retrievals. We attribute this significant difference in metallicity to a larger temperature gradient at low pressures in radiative equilibrium models. Such models with lower metallicities readily fit the strong CO2 feature at 4.3 μm. Our lower estimated metallicity makes HD 149026b more consistent with the mass–metallicity relationship for other giant planets. We find a C/O ratio of

0.67

−
0.27

+
0.06

with and without VO. The best-fit heat redistribution factor without VO is 1.17, a very high value suggesting very little dayside energy transport and no energy transport to the nightside. The heat redistribution factor shrinks to a more plausible value of

0.91

−
0.05

+
0.05

, with VO, which we regard as circumstantial evidence for the molecule in the atmosphere of HD 149026b.
A Temperature or Far-ultraviolet Tracer? The HNC/HCN Ratio in M83 on the Scale of Giant Molecular Clouds
Authors: Harada Nanase , Saito Toshiki , Nishimura Yuri , Watanabe Yoshimasa , Sakamoto Kazushi 
Published: July 2024

Abstract
The HNC/HCN ratio is observationally known as a thermometer in Galactic interstellar molecular clouds. A recent study has alternatively suggested that the HNC/HCN ratio is affected by the ultraviolet (UV) field, not by the temperature. We aim to study this ratio on the scale of giant molecular clouds in the barred spiral galaxy M83 towards the southwestern bar end and the central region from Atacama Large Millimeter/submillimeter Array observations, and if possible, distinguish the above scenarios. We compare the high-resolution (40–50 pc) HNC/HCN ratios with the star formation rate from the 3 mm continuum intensity and the molecular mass inferred from the HCN intensities. Our results show that the HNC/HCN ratios do not vary with the star formation rates, star formation efficiencies, or column densities in the bar-end region. In the central region, the HNC/HCN ratios become higher with higher star formation rates, which tend to cause higher temperatures. This result is not consistent with the previously proposed scenario in which the HNC/HCN ratio decreases with increasing temperature. Spectral shapes suggest that this trend may be due to optically thick HCN and optically thin HNC. In addition, we compare the large-scale (∼200 pc) correlation between the dust temperature from the far-IR ratio and the HNC/HCN ratio for the southwestern bar-end region. The HNC/HCN ratio is lower when the dust temperatures are higher. We suggest from the above results that the HNC/HCN ratio depends on the UV radiation field that affects the interstellar medium on the ∼100 pc scale where the column densities are low.
Class Symbolic Regression: Gotta Fit ’Em All
Authors: Tenachi Wassim , Ibata Rodrigo , François Thibaut L. , Diakogiannis Foivos I. 
Published: July 2024

Abstract
We introduce “Class Symbolic Regression” (Class SR), the first framework for automatically finding a single analytical functional form that accurately fits multiple data sets—each realization being governed by its own (possibly) unique set of fitting parameters. This hierarchical framework leverages the common constraint that all the members of a single class of physical phenomena follow a common governing law. Our approach extends the capabilities of our earlier Physical Symbolic Optimization (Φ-SO) framework for symbolic regression, which integrates dimensional analysis constraints and deep reinforcement learning for unsupervised symbolic analytical function discovery from data. Additionally, we introduce the first Class SR benchmark, comprising a series of synthetic physical challenges specifically designed to evaluate such algorithms. We demonstrate the efficacy of our novel approach by applying it to these benchmark challenges and showcase its practical utility for astrophysics by successfully extracting an analytic galaxy potential from a set of simulated orbits approximating stellar streams.
Spinal aneurysmal bone cysts – case series
Authors: Cekov Asen , Tarev Ivan , Kanev Anastas 
Published: July 2024

Aneurysmal bone cysts are benign neoplastic lesions that are extensively vascularized and can occasionally exhibit destructive and expanding activity. They typically affect young people, with a small predilection toward females, and most frequently arise during the second decade of life. Aneurysmal bone cysts account for about 1% of all bone tumors and usually develop in long tubular bones, with the spine being much less commonly affected.
We present here three cases of aneurysmal bone cysts in the spinal cord that were surgically treated at the Department of Neurosurgery between 2009 and 2022. These patients were admitted to the clinic with symptoms of spinal cord or vascular compression. The volume of operative intervention was total or subtotal resection of the formation. No postoperative neurological deficits were observed, and no early complications were recorded after the interventions. All patients were discharged from the department with clinical improvement. One underwent reoperation after 4 years because of a cyst recurrence. The diagnosis of aneurysmal bone cyst was confirmed by histological examination in all cases.
A Mature Cyber Power? Drivers, Strategies and Tools of the EU’s International Cyber Engagements
Authors: Pawlak Patryk 
Published: July 2024

Le présent article s’attache à expliquer comment, malgré la complexité des dynamiques et des politiques internes, l’UE parvient à influencer les cyberpolitiques au niveau international. L’article soutient que l’UE réussit à naviguer dans ces régimes de gouvernance évolutifs en raison de sa maturité dans différents secteurs de la cyberpolitique, tels que la résilience, la défense, la lutte contre la criminalité et la diplomatie. Cette maturité politique est évaluée à partir de trois éléments clés : la portée et la profondeur de la politique, le paysage institutionnel et les ressources. Comme le montre cet article, le niveau global de maturité de l’UE dans le domaine cyber a cru au cours de la dernière décennie ; or, plus celle-ci est élevée, plus son impact sur la scène internationale est important. L’analyse présentée dans cet article est fondée sur des sources primaires, des documents officiels et les observations de l’auteur résultant de sa participation active à la cyberpolitique de l’UE entre 2012 et 2023.
Sur les rives du Potomac, le centre du système de renseignement et de cyberdéfense des États-Unis
Authors: Guiffard Jonathan 
Published: July 2024

La région de Washington D.C. constitue le cœur d’un vaste système de collecte de renseignement, de surveillance et d’action dans l’espace numérique. Comment ce territoire a-t‑il permis l’émergence du cœur du pouvoir topologique américain dans le cyberespace ? Depuis le milieu du xx e siècle, il abrite un système complexe de renseignement, mais aussi le développement d’Internet dans sa dimension militaire. La convergence de ces deux phénomènes a permis l’émergence, au début du xxi e siècle, d’un écosystème de cyberdéfense complexe, concentré géographiquement, et toujours en cours de maturation. Néanmoins, ce processus a favorisé prioritairement le développement de la dimension de sécurité nationale, au détriment de la dimension civile de la cyberdéfense qui peine à se structurer dans cet écosystème fragmenté. L’objet de cet article est de proposer une typologie et une analyse territoriale simplifiée de ce système qui constitue le point de départ d’une position américaine favorable dans l’espace numérique.
Donors talk: The signaling and imprinting effects of giving to social enterprises
Authors: D’Espallier Bert , Hudon Marek , Khavul Susanna , Szafarz Ariane 
Published: July 2024

Comment les donateurs doivent-ils financer les organisations de microfinance afin de maximiser leur impact social ? Doivent-ils concentrer leurs contributions sur quelques bénéficiaires ou plutôt les répartir entre de nombreuses organisations ? Nous abordons cette question délicate en estimant séparément les effets sur les performances sociales du don en tant qu’acte d’une part, et du montant donné de l’autre. L’analyse s’applique à des organisations de microfinance du monde entier. Prenant appui sur la théorie du signal, nous formulons l’hypothèse que le don en tant qu’acte a plus d’impact que le montant donné. En outre, nous établissons l’existence d’un effet d’empreinte ( imprinting effect ) selon lequel les performances sociales persistent même lorsque les dons se tarissent. En d’autres termes, le niveau accru des performances sociales observées au cours des périodes subventionnées se maintient lors des périodes ultérieures non subventionnées. Il s’ensuit que des contributions diversifiées et réparties entre de nombreuses organisations peuvent amener le donateur à atteindre un impact social global supérieur à celui résultant de contributions concentrées sur un petit nombre d’organisations bénéficiaires.
Trois scénarios de fin à la guerre en Ukraine
Authors: Drevet Jean-François 
Published: July 2024

Au moment où paraît ce numéro de la revue Futuribles , cela fait deux ans et quatre mois que la Russie a lancé son offensive contre l’Ukraine, et il faut bien avouer que l’heure n’est pas à l’optimisme quant à l’issue de ce conflit. Alors qu’au printemps 2022, la résistance de Kiev face aux troupes russes avait amené à parier sur une guerre plus longue qui finirait par desservir les projets de Moscou, ce printemps 2024 confirme que la guerre dure, qu’elle s’enlise, et montre des forces ukrainiennes exsangues face à des troupes russes en apparence plus solides. Les atermoiements des États-Unis et de l’Union européenne qui ont retardé l’envoi de soutien matériel ont sans doute leur part de responsabilité ; mais même si l’armée ukrainienne parvient à se relancer, on a peine à croire à l’avènement d’un scénario rose, d’autant que la situation tend à échauffer les esprits dans d’autres pays d’Europe de l’Est et du Caucase. Dans cette chronique, Jean-François Drevet examine trois scénarios contrastés portant sur la façon dont pourrait se terminer la guerre en Ukraine, et les incidences qui en découleraient pour l’Union européenne et la sécurité du continent : un retrait russe (quasi utopique), la stabilisation du front (de manière temporaire — ou pas) ou la défaite de l’Ukraine (à quel prix ?). Comme il l’indique en conclusion, il est fort peu probable que le projet européen sorte grandi de l’issue du conflit. Faute d’avoir pris la mesure des enjeux sécuritaires à ses frontières et d’avoir su forger une politique de défense commune à la hauteur, l’Union devra en tirer des conclusions — un quitte ou double ? S.D.
Les Assemblées du personnel et des travailleurs de 1949 à nos jours. Trois configurations du corporatisme chinois
Authors: Andreas Joel , Li Yao , Li Peiyao , Goudarzi Tiam 
Published: July 2024

Toutes les grandes entreprises chinoises sont tenues de convoquer des organes de représentation connus sous l’appellation d’« assemblée du personnel et des travailleurs » (APT). À travers l’étude de cas d’une grande usine de fabrication de verre appartenant à l’État, cet article examine l’évolution du système des APT de 1949 à nos jours. Au cours des dernières années, ce système s’est massivement développé, se traduisant par la mise en œuvre d’APT, au moins en principe, dans plus de 5 millions d’organisations employant quelque 250 millions de travailleurs. Pour évaluer les performances réelles du système quant à la capacité des travailleurs à influencer la gouvernance des entreprises, par le passé ou encore de nos jours, et dans la mesure où le système a toujours fonctionné sous la tutelle de l’État, nous utilisons le concept de corporatisme d’État emprunté à Philippe Schmitter. Nous soutenons que, depuis 1949, la Chine a connu trois configurations du corporatisme d’État. Dans la première, le nouveau régime a brièvement mis en place des institutions tripartites composées de représentants de l’État, du travail et du capital, avant de mobiliser les travailleurs pour qu’ils participent à l’expropriation du capital. La configuration suivante, de la fin des années 1950 au début des années 1990, a incarné une relation directe entre l’État et les travailleurs. La configuration la plus récente, fondée à nouveau sur une structure tripartite, a vu la transformation des usines en entreprises en quête de profits. Selon nous, dans les deux premières, l’État a intégré les travailleurs, de manière solide mais limitée, dans la gouvernance des usines. La configuration actuelle, au contraire, les marginalise.
Big Data et Open Data : Socles indispensables pour les entreprises
Authors: Monino Jean-Louis 
Published: July 2024

« Big Data » et « Open Data » constituent des gisements d’informations encore sous-exploités. La question associée à cet article considère quels éléments peuvent éclairer une meilleure intégration de leur potentiel. Par un travail d’analyses conceptuelles, seront montrées leurs aptitudes à transformer « business », gouvernement et société. Le Big Data donne le pouvoir d’analyser et changer le monde. L’ Open Data assure que ce pouvoir soit partagé et favorise des démarches d’innovation ouverte, suivant, d’une part des organisations détenant des données exploitables, d’autre part des entreprises créatives, dont startups et PME, fournisseuses de technologies innovantes, cela aboutissant à faire émerger des solutions radicalement nouvelles. Avec l’évolution de la démarche d’analyse, des modèles économiques basés sur les stratégies de monétisation sont donc à construire. En devenant le socle actif de nouveaux produits et services, le Big Data Analytics appelle une révision profonde des modèles économiques, désormais nécessairement orientés données.