bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mesure du Conservatisme de la Banque Centrale : Une évaluation empirique appliquée au cas de la Banque des Etats de l’Afrique Centrale (BEAC)
Authors: Soulemanou  , Tadadjeu Dessy-Karl 
Published: January 2025

Dans cet article, nous proposons une mesure simple et fiable du degré de conservatisme de la Banque des États de l’Afrique centrale (BEAC). Cet indicateur est fondé sur la courbe de Taylor et s’inspire des travaux de Levieuge et Lucotte (2014). Contrairement à d’autres indicateurs de conservatisme développés dans la littérature, qui dépendent fortement du modèle économique et de la règle monétaire adoptés, la mesure que nous proposons ici est purement empirique et facilement calculable. Elle requiert seulement la connaissance des variances empiriques de quelques variables et peut aisément s’étendre à un large échantillon de pays. Les résultats empiriques montrent que, sur la période 1980-2015, la BEAC a accordé la priorité au soutien à l’activité économique plutôt qu’à l’objectif de couverture extérieure de la monnaie dans la CEMAC.

In this article, we propose a simple and reliable measure of the degree of conservatism of the Bank of Central African States (BEAC). This indicator is based on the Taylor curve and draws on the work of Levieuge and Lucotte (2014). Unlike other conservatism indicators developed in the literature, which are highly dependent on the economic model and monetary rule adopted, the measure we propose here is purely empirical and easily calculable. It requires only knowledge of the empirical variances of a few variables, and can easily be extended to a large sample of countries. The empirical results show that, over the period 1980-2015, the BEAC prioritized support for economic activity over the objective of currency hedging in the CEMAC.
Echoes of the Anthropocene: Reimagining Legal Consciousness in the Face of Ecological Crisis
Authors: Kapartziani Chrysoula 
Published: January 2025

The concept of the “Anthropocene,” referring to the interconnection between human activity and what was once considered the natural environment, has emerged as a direct response to the radical changes in climate and ecosystems that have transformed the planet's ecology and potentially contributed to the pandemic crisis. Human agency, long regulated through legal instruments, now takes centre stage in the management and stewardship of the planet. Law, as both a reservoir of emotionally significant social symbols and a powerful regulatory tool, plays a crucial role in this context. Therefore, understanding the evolution of environmental legal frameworks is essential. This understanding encompasses the relationship between law, society, the environment, and the role of the citizen, encapsulated in the concept of “legal consciousness”. Moreover, law operates through conceptual categories and frameworks that construct, communicate, and interpret social and cultural relationships. Given that the Anthropocene is not only an ecological condition but also a state of consciousness, environmental awareness must align with legal consciousness. This moment offers an opportunity to reshape legal culture. Several questions arise: How have legal frameworks been reflected in the words, actions, and interpretations of ordinary citizens? Is it necessary to rewrite legal terminology or redefine legal values and frameworks to depict the interconnection between nature and human activity? What role, if any, does the educational system and media play in shaping this consciousness? This paper employs a theoretical and interpretative methodology, drawing on legal theory, environmental history, and analysis of legal consciousness, to examine the role of law in shaping human responses to the environmental crises of the Anthropocene. Furthermore, what are the most effective ways to communicate contemporary legal principles, such as the rights of nature? Should these rules be developed through open and participatory processes? Finally, what lessons can be drawn from environmental history to inform future legal frameworks and values? These questions guide the exploration of how legal systems must evolve in response to the challenges of the Anthropocene.
Déterminants de l’adoption des TIC par les agriculteurs de la région du Centre au Burkina Faso
Authors: Sana Ibrahim , Diendere Achille Augustin , Yabi Afouda Jacob 
Published: January 2025

Cette recherche analyse les déterminants de l'adoption des technologies de l'information et de la communication (TIC) par les agriculteurs. Les données ont été recueillies auprès de 420 agriculteurs de la région du Centre au Burkina Faso, sélectionnés par échantillonnage aléatoire simple. L'analyse des données repose sur des statistiques descriptives et un modèle Probit multivarié. Les résultats révèlent que des facteurs comme le sexe, le niveau d’instruction, l’âge, la distance au marché, le revenu non agricole et l’appartenance à une organisation de producteurs influencent de manière différenciée l’adoption de chaque type spécifique de TIC étudiées. Ces résultats mettent en évidence la nécessité de développer des politiques TIC qui soient spécifiquement adaptées aux profils des agriculteurs, en tenant compte de leurs caractéristiques socio-démographiques, économiques et institutionnelles. Il est essentiel d'intégrer des stratégies tenant compte du genre et de l'âge, ainsi que d'offrir des subventions financières pour faciliter l'adoption. Étant donné que chaque technologie requiert une approche distincte, il est primordial de concevoir des solutions adaptées aux contextes locaux et de renforcer les organisations de producteurs afin de sensibiliser et de former les agriculteurs de manière efficace.

This research explores the determinants of farmers' adoption of information and communication technologies (ICTs). Data were collected from 420 farmers in the Center region of Burkina Faso, selected by simple random sampling. Data analysis was based on descriptive statistics and a multivariate Probit model.The results reveal that factors such as gender, level of education, age, distance from the market, off-farm income and membership of a producer organization differentially influence the adoption of each specific type of ICT studied. These results highlight the need to develop ICT policies that are specifically tailored to farmers' profiles, taking into account their socio-demographic, economic and institutional characteristics. Gender- and age-sensitive strategies are essential, as are financial subsidies to facilitate adoption. As each technology requires a distinct approach, it is essential to design solutions adapted to local contexts, and to strengthen producer organizations in order to raise awareness and train farmers effectively.
La persona, eje central de los procesos migratorios: el caso de la migración italiana a América
Authors: Calzadilla Medina Ma. Aránzazu , Martínez Gramuglia Pablo , Fiorenza Elia , Robles Acevedo Manuel Alejandro 
Published: January 2025

En un mundo globalizado, visibilizar las migraciones y su realidad sociojurídica, sus antecedentes, las particularidades de las personas que migran, sus motivaciones, las circunstancias particulares de determinados grupos o colectivos, etc., es una tarea que desde la academia ha de llevarse a cabo de manera incesante, pues todo esfuerzo es poco para tratar de mostrar la veracidad de situaciones que, en un mundo de fake news, posverdad, inteligencia artificial, etc., muchas veces quedan ocultas. El objetivo de este trabajo es analizar y exponer las características y situaciones que se dieron a lo largo de los años en migraciones desde Europa hacia América Latina, un fenómeno en cierta forma olvidado. Italia es el país elegido para, desde un caso concreto, comprender la realidad estructural de las migraciones y la situación de desigualdad que pueden conllevar, todo ello desde un punto de vista de los derechos humanos.

In a globalized world, making migration visible—including its socio-legal realities, antecedents, the particularities of migrants, their motivations, and the specific circumstances of certain groups or collectives—is a task that academia must undertake incessantly. This is because any effort is insufficient in trying to reveal the truth of situations that, in a world of fake news, post-truth, artificial intelligence, etc., often remain hidden or do not receive the required attention. The aim of this paper is to analyze and present the characteristics and situations that have occurred over the years in migrations from Europe to Latin America, a phenomenon somewhat. Italy has been chosen as the case study to understand the structural reality of migrations and the inequality that they can entail, all from the perspective of human rights.
Qualité des données hydrométriques prédites par une approche machine learning dans l’évaluation de la ressource en eau au nord de la Cote d’Ivoire
Authors: Jean-Robert Kamenan Satti , Germain Adja Miessan , Youan Ta Marc , Kouassi Amani Michel , Njeugeut Mbiafeu Amandine Carine 
Published: January 2025

L'écoulement des rivières revêt un intérêt particulier dans la gestion rationnelle des ressources en eau. Son estimation permet d'évaluer quantitativement la disponibilité des ressources en eau, ainsi que de prévenir des catastrophes naturelles telles que les inondations et les sécheresses. Ces estimations, généralement effectuées à l'aide de méthodes statistiques d'apprentissage automatique, sont parfois biaisées, entraînant des écarts par rapport aux observations in situ. Ainsi, cette étude a pour objectif d'evaluer la qualité des données de débit de la rivière Bagoé prédites par des réseaux neuronaux, afin d'aider les décideurs dans leurs projets de développement durable. Pour ce faire, deux modèles basés sur des réseaux neuronaux ont été développés pour prévoir les variations des débits mensuels de la rivière Bagoé aux instants t et t+3 respectivement. Les modèles sont validés en utilisant le critère de Nash (%), le coefficient de corrélation de Pearson (R), le rapport du débit maximal et le critère de robustesse. Les résultats obtenus indiquent que les modèles neuronaux développés expliquent plus de 82 % des débits mensuels de la rivière Bagoé. Ces derniers varient respectivement de 0,002 m3s-1 à 300,12 m3s-1, avec une moyenne de 31,10 m3s-1 en calibration, et de 0,002 m3s-1 à 243,32 m3s-1, avec une moyenne de 31,29 m3s-1 en validation. Cependant, des décalages dans des débits extrêmes ont été observés à la fois en calibration et en validation.
River flow is of particular interest in the rational management of water resources. Their estimation enables quantitative assessment of water resource availability, as well as anticipation of natural disasters such as floods and droughts. These estimates, generally made using statistical methods or machine learning, are sometimes biased, resulting in variations that differ from those observed in situ. This study aims to evaluate the quality of flow data predicted by neural networks for the Bagoé River to support sustainable development planning. To achieve this, two neural network-based models were developed to forecast variations in monthly flows in the Bagoé River at time t and time t+3 respectively. The models are validated using the Nash criterion (%), Pearson's correlation coefficient (R), the maximum flow ratio and the robustness criterion. The results obtained indicate that the neural models developed expressed more than 82% of the monthly flows of the Bagoé River. These ranged respectively from 0.002 m3s-1 to 300.12 m3s-1, with an average of 31.10 m3s-1 in calibration, and 0.002 m3s-1 to 243.32 m3s-1, with an average of 31.29 m3s-1 in validation. However, some shifts in extreme flows were observed in both calibration and validation.
Management of Ectopic Pregnancies at the Community University Hospital Center (CUHC) in Bangui, Central African Republic
Authors: Songo-Kette Gbekere Thibaut Boris Clavaire , Koirokpi Alida , Kogboma Wongo Rose de Lima , Paule Serdouma Candy Marie , Heya Imbatia Severin Saturnin , Ngbale Norbert Richard , Sepou Abdoulaye 
Published: January 2025

Introduction: Ectopic pregnancy (EP) is an obstetrical emergency that affects women in the first trimester of pregnancy. We decided to find out more about the care of these women. Methodology: This was a cross-sectional study over a period of 6 months, from November 1st, 2022 to April 29th, 2023, covering both operated patients and medically treated for EP at the Community University Hospital Center (CUHC). Results: During this period, we recorded 103 cases of ectopic pregnancy out of 1659 deliveries, representing a frequency of 6.2%. Patients under 35 years old were the most represented (88.3%). The majority of our patients had reached secondary school (54.4%) and were multiparous (33%). The gestational age of 8 – 12 weeks was the most affected during the consultation. Conclusion: Radical surgery remains the most used therapeutic method with 84.2% of cases in our study. Ectopic pregnancy is an extreme obstetrical emergency of the first trimester that requires adequate care. The best treatment is primary prevention by avoiding risk factors.
Effet de l’incorporation de concentré alimentaire industriel dans la ration de poulet de souche locale dans la commune de Korhogo (Côte d’Ivoire)
Authors: Kouadio Kouakou Parfait , Soro Soronikpoho , Kouakou Fokoua Kessia Irène , Soro Kouhana 
Published: January 2025

Des concentrés alimentaires industriels sont développés par des firmes pour améliorer la production de volaille moderne ignorant celle de l’élevage traditionnelle. Les concentrés alimentaires ne peuvent-ils pas être aussi aider à améliorer l’alimentation et la productivité de la volaille traditionnelle. Cette étude vise à rechercher une amélioration de l’alimentation et la productivité des poulets de souche locale par l’incorporation de concentré industriel dans leur ration. Ainsi, pour réaliser cette étude une bande de 80 poussins de souche locale, âgés de 4 semaines ont été répartis en deux lots. Le lot 1 était nourri avec l’aliment témoin et le lot 2 avec l’aliment incorporé de concentré industriel. Ils ont été conduits durant une période de 8 semaines. L’indice de consommation, la masse moyenne, le gain moyen quotidien, le taux de mortalité des sujets, la température et le taux d’humidité du bâtiment ont été étudiés. À douze semaines d’élevage, les poulets ont enregistré un indice de consommation moyenne de 3,92 ± 1,88 et 5,1 ± 2, 01 respectivement pour le lot 1 (témoin) et le lot 2. Une masse moyenne de 227,5 ± 3,9 g pour le lot 2 et 217,83 ± 4,1g pour le lot 1 (témoin) ont été obtenues. Aucune mortalité des sujets n’a été enregistrée. Les performances de croissance obtenues permettent de déduire que l’incorporation du concentré alimentaire industriel dans le maïs pour nourrir le poulet de souche locale permet d’améliorer la production.
Industrial feed concentrates are developed by firms to improve modern poultry production ignoring that of traditional breeding. Can't feed concentrates also help improve the feeding and productivity of traditional poultry? This study aims to seek an improvement in the feeding and productivity of local breed chickens by incorporating industrial concentrate into their ration. Thus, to carry out this study, a group of 80 local breed chicks aged 4 weeks were divided into two batches. Batch 1 was fed with the control feed and batch 2 with the feed incorporated with industrial concentrate. They were raised for a period of 8 weeks. The consumption index, growth, average daily gain, mortality rate of the subjects, and temperature and humidity level of the building were studied. At twelve weeks of breeding, the chickens recorded an average feed conversion index of 3.92 ± 1.88 and 5.1 ± 2.01 respectively for batch 1 (control) and batch 2. An average weight of 227.5 ± 3.9 g for batch 2 and 217.83 ± 4.1 g for batch 1 (control) were obtained. No mortality of the subjects was recorded. The growth performances obtained allow us to deduce that the incorporation of industrial feed concentrates into corn to feed local chickens improves production.
Technology Focus: Mature Fields and Well Revitalization (January 2025)
Authors: Sikandar A. Shahbaz 
Published: January 2025

What mature fields typically have in abundance are well, reservoir, and surface data. This data may be sporadic and of questionable quality but allows for valuable integration, corroboration, and multiple layers of quality checks before establishing any conclusions on revitalization performance metrics, targets for drilling, and estimates of reserves.
From the papers reviewed, a spectrum of case studies addresses how practitioners are taking on the challenge of extending economic life and revitalization of mature fields through better understanding of the subsurface and adapting existing techniques and technologies in innovative ways.
Targeted use of rate transient modeling has led to an elegant well-data-based understanding for ascertaining reasons for a lower-than-expected benchmarked recovery factor; mapping drainage areas and boundaries; and comparing well performances, allowing for low-cost and rigorous yet reasonably high-confidence outcomes. This can then be corroborated with any independent full-field, local, or well-modeling approach.
There is a niche of modeling-focused workflows that allows for larger reservoir- and field-level uncertainties to be entertained in mapping the remaining oil. Such practices have been around in the shape of map-based exercises for locating the remaining oil, but the introduction of time-saving and efficient algorithms that integrate reservoir physics with statistics now can provide confidence levels in the maps of unswept and undrained hydrocarbons.
At the larger scale of mature field opportunities, giant-fields revitalization projects provide an opportunity to start over to gain economically viable solutions. Given the specific challenges at hand, new technologies across well design, subsea, processing, and export infrastructure all are available to provide testimony to engineering innovation.
In all the cases selected to showcase mature field and well revitalization, the key is to allow diverse teams to pilot ideas before expanding them to large-scale applications. Success can come from nonlinear ideas, and that makes working with large and diverse data so rewarding and beneficial.
Technology Focus: Data Science, Analytics, and Artificial Intelligence (January 2025)
Authors: Ramcharitar Kamlesh 
Published: January 2025

Almost every day, petroleum engineers are coming to realize that they’ve got an arsenal of good ideas on how to leverage large, messy data sets to add value to their businesses. Those who have enlisted in the Analytics Army have progressed from siloed digitalization attempts to well-concerted digital transformation strategies that reflect high levels of organizational digital maturity.
Paper SPE 220686 hits an undeniable sweet spot for production and reservoir engineers, using an array of machine-learning methods to accurately predict real-time well status. Practicality here is evident, because only widely available surface-measured pressures, temperatures, and choke-valve positions are used to classify online and offline well status. The 99% accuracy levels achieved represent a boon not only for those interested in more-reliable rate allocation but also for well-integrity and flow-assurance applications.
With ever-increasing data acquisition volumes, data-labeling and categorization problems increase in lockstep. After all, how well can your luggage be found without proper tagging? Anyone remember the 2022 summer of lost luggage? The value proposition of paper SPE 218865 is clear, using a combination of natural language processing for coiled tubing operations reports and pattern recognition of multimodal job data to automatically label the job types and technologies used. A myriad of other cases spring to mind for repurposing the solution to transform current onerous processes of metadata generation.
In the aftermath of the explosion in popularity of all things generative artificial intelligence, paper SPE 217671 steals the limelight. This paper exploits good data foundations by painting a roadmap to building your own drilling chatbot adviser. Compared with other generalized large language models, the zero-shot learning technique allows the chatbot to answer queries for drilling domain-specific knowledge that it hasn’t explicitly “seen.” The authors have even publicized the training data sets collated from the Norwegian Petroleum Directorate to enable quick and relatively inexpensive replication.
Recommended additional reading at OnePetro: www.onepetro.org.
URTeC 4045912 Using Machine Learning To Automate Fracture-Driven-Interaction Analysis by Reid Thompson, Momentum AI, et al.
SPE 220833 Preliminary Research on Applications of Large Language Models in the Exploration and Production Industry by X.G. Zhou, PetroChina, et al.
SPE 220714 Automated Well and Reservoir Management Using Hybrid Physics and Data-Driven Models—Case Study by Azreen Mustafa, Hess Corporation, et al.
Histopathological Patterns of Cervical Cancer Among Females Presenting to a Pathology Core Reference Laboratory in Kampala, Uganda. A 5-year Review
Authors: Moses Mwanja , Fred Lopwonya 
Published: January 2025

Abstract

Introduction: Cervical cancer is the fourth most common cancer among women globally, with an estimated 604 000 new cases and 342 000 deaths in 2020, about 90% of these occur in low- and middle-income countries, having highest rates in sub-Saharan Africa. Cervical cancer is the leading cause of cancer morbidity and mortality in Ugandan women with estimated 6959 new cases and 4607 deaths in 2020. The histopathological differentiation of cervical cancer is a major determinant in treatment options and prognosis of disease. However, there is a paucity of data regarding this in Uganda. The study aimed to determine the histopathological pattern of cervical cancer among females presenting to Makerere university pathology core reference laboratory.
Methodology: A retrospective cross-sectional study employing the use of quantitative methods of data collection was conducted within Makerere university pathology core reference laboratory. The study obtained information on patients who had a cervical cancer diagnosis by histology from 2017 to 2021. The data was descriptively analyzed using SPSS version 21.
Results: A total of 120 patients from 2017 to 2021 were recruited into the study. The mean age of the patients was 47.5 (SD 13.1), the youngest patient was 21 and the oldest was 80 years. Cervical cancer was more prevalent in women aged between 35 to 54 years 77(64.2%) and women with HIV infection 26(21.7%). Squamous cell carcinoma present in 102 (85%) patients was the most prevalent pattern of cervical cancer. This was followed by adenocarcinoma 7(5.8%) and adenosquamous 5(4.2%) histological patterns of cervical cancer.
Conclusions: Cervical cancer is predominant among women with HIV and women aged 35-55 years. Squamous cell carcinoma is the most prevalent pattern of cervical cancer in Uganda present in every 9 out of 10 patients. Routine screening of all HIV positive women and women aged 35 and above is recommended.