bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nuclear and Orbital Characterization of the Transition Object (4015) 107P/Wilson–Harrington
Authors: Kareta Theodore , Reddy Vishnu 
Published: September 2023

Abstract
Comet 107P/Wilson–Harrington, cross-listed as asteroid 4015, is one of the original transition objects whose properties do not neatly fit into a cometary or asteroidal origin. Discovered in a period of apparently gas-dominated activity in 1949, it was subsequently lost and recovered as the inactive asteroid 1979 VA. We obtained new and reanalyzed archival observations of the object, compared to meteorites, and conducted new orbital integrations in order to understand the nature of this object and to understand where it falls on the asteroid–comet continuum. Wilson–Harrington’s reflectance spectrum is approximately neutral from visible to near-infrared wavelengths, but has a reflectance maximum near 0.8–0.9 μm. The object’s spectrum is well matched by laboratory spectra of carbonaceous chondrite meteorites like the CM Murchison or the C i Ivuna. The object’s phase curve slope is compatible with either an asteroidal or cometary origin, and its recent orbital history has no periods with high enough temperatures to have altered its surface. While it is possible that some unknown process has acted to change the surface from an originally cometary one, we instead prefer a fundamentally asteroidal origin for Wilson–Harrington, which can explain its surface and orbital properties. However, this would require a way to maintain significant (hyper)volatile supplies on the near-Earth objects beyond what is currently expected. Wilson–Harrington’s similar meteorite affinity and possible orbital link to sample return targets (162173) Ryugu and (101955) Bennu suggest that the returned samples from the Hayabusa-2 and OSIRIS-REx missions might hold the key to understanding this object.
Le projet Le Play au Centre d’histoire du XIX e siècle : une édition numérique de la correspondance de Frédéric Le Play
Authors: Faure Margaux 
Published: September 2023

Dans le cadre du projet d’édition numérique de la correspondance de Frédéric Le Play porté par le Centre d’histoire du XIX e siècle (Sorbonne Université et Paris 1 Panthéon-Sorbonne), cet article présente le projet et sa chaîne de traitement, depuis le repérage des lettres jusqu’à la future mise en ligne sur un site internet. Un point d’attention particulier est porté à la première partie de la correspondance qui sera diffusée : les échanges entretenus avec son fils, Albert Le Play.
Le Play et ses continuateurs face à l’énigme de la société chinoise
Authors: Savoye Antoine 
Published: September 2023

La longévité de l’empire de Chine constitue une « énigme sociale » que Frédéric Le Play cherche à percer après ses Ouvriers européens (1855). Ne pouvant aller enquêter sur place, il a recours aux recherches qu’il suscite au sein de la Société d’économie sociale et aux récits de voyageurs comme le père Huc pour comprendre l’étonnante stabilité du Céleste Empire. Son œuvre écrite, de 1864 à sa mort (1882), porte la trace de son interrogation constante sur la société chinoise et ses ressorts. In fine , Le Play pense trouver la solution de l’énigme dans l’existence, aux marches de l’empire, de sociétés pastorales matrices d’une organisation sociale patriarcale adoptée par la masse des paysans sédentaires obéissant à une loi morale mise en forme et transmise par les lettrés disciples de Confucius.
L’odyssée de Spring : manager des stratégies d’innovation globale dans un monde fragmenté et instable
Authors: Midler Christophe , Alochet Marc 
Published: September 2023

L’innovation, traditionnellement associée à la compétition sur les marchés, est aujourd’hui de plus en plus « administrée » par les politiques publiques, au nom d’impératifs sociétaux comme la lutte contre la crise climatique ou la souveraineté. Comment une entreprise, qui appartient à une industrie globalisée, intègre-t-elle les réglementations de plus en plus précises et intrusives des différents pays dont elle veut conquérir les marchés ? L’article apporte des réponses à cette question à la lumière de l’analyse d’un projet de véhicule électrique accessible, conçu en Chine pour le marché chinois puis commercialisé en Europe sous le nom de Dacia Spring. Tout d’abord, nous présentons le cadre théorique du management des stratégies d’innovation globale, puis précisons la question de recherche étudiée dans cet article. Ensuite, nous analysons le déroulement du projet, depuis son émergence en Chine jusqu’à son débouché commercial en Europe, en se focalisant sur les opportunités et les contraintes liées à l’intrusion des politiques publiques en matière de véhicule électrique, et sur la manière dont le projet a pu les intégrer dans son management. Finalement, nous tirons des enseignements de ce cas tant au niveau du management du projet pilote dans le pays cible qu’au niveau du déploiement global. Nous mettons d’abord en évidence l’importance d’un « développement innovant » combinant les impératifs classiques de qualité, coût et délai du développement d’un produit classique et les nécessités d’un processus d’exploration et de décision en contexte inédit. Ensuite, dans une situation de coopération multi-entreprises et multiculturelle, généralement imposée par le pays hôte du projet, nous soulignons l’importance d’une organisation du projet qui assure une autonomie de décision et une intégration des acteurs de l’équipe. Au niveau du déploiement global, nous analysons comment des entreprises peuvent manager, à partir de ces projets pilotes locaux, des stratégies d’innovation globale, selon des lignées de projets associant capitalisation des apprentissages et adaptation au coup par coup à des contextes locaux variés. En conclusion, nous résumons les apports théoriques et empiriques de cette recherche, ses limites ainsi que les perspectives de recherche qu’elle ouvre.
Des puces et des hommes : quand le travail « 4.0 » se révèle plus humain que prévu
Authors: Blanc-Brude Véronique , Defélix Christian 
Published: September 2023

Pour répondre aux enjeux d’efficacité et de qualité de fabrication, la forte automatisation et l’intégration de données qui caractérisent l’industrie 4.0 permettent de produire des séries personnalisées aux coûts de la production de masse, ce qui engendre la création de situations de travail dynamiques et complexes. Dans les industries « de flux » telles que celle de la microélectronique, le travail humain, bien réel, devient moins visible puisqu’il n’intervient qu’en cas d’interruption du flux ou de process . Mais quelles conséquences a exactement cette automatisation poussée à son maximum, sur le travail et les compétences requises pour les opérateurs ? Cet article s’appuie sur l’étude d’un cas industriel, où la quête de haute performance et les seuils successifs d’automatisation conduisent à intensifier la surveillance des anomalies. Le cadre théorique choisi est celui du travail invisible et de son expérience triple (Gomez, 2013), qui permet de lever le voile sur une mutation du travail peu prise en compte par l’organisation officielle. À partir d’une observation directe et d’entretiens semi directifs, cette recherche révèle que l’expérience du travail est d’abord marquée par une hypertrophie de la dimension objective, en décalage avec de nombreuses présentations flatteuses des usines 4.0. Elle est également caractérisée par une dimension collective, non formalisée mais nécessaire, basée sur de nombreuses interactions. Elle est enfin l’occasion d’une expérience subjective, où se concentrent et s’arbitrent de nombreuses tensions. Ainsi, le travail « 4.0 », bien que plus automatisé, se révèle plus humain que prévu.
AI & IP: Solving the rebus of Dabus
Authors: Beelen Axel 
Published: September 2023

Stephen Thaler (et l’organisation qui est derrière lui) explore les frontières de l’intelligence artificielle (IA) avec le droit d’auteur et le droit des brevets. D’un côté, Thaler a tenté d’obtenir l’enregistrement d’une « œuvre » créée uniquement par une IA auprès du US Copyright Office. D’un autre côté, il a essayé, auprès de plusieurs pays du monde, de faire en sorte que DABUS, un système d’IA créé par lui-même, puisse être reconnu comme étant l’unique inventeur de deux inventions. Ses essais ont été à chaque fois rejetés : une œuvre ne peut être protégée en termes de titre d’auteur que si elle est l’expression de la créativité d’un être humain et un brevet ne sera accordé que si l’inventeur est un être humain ou une entreprise, et non une machine .
La France insoumise, un « mouvement » qui n’en a que le nom ? Effacement symbolique et transformations pratiques de la forme partisane
Authors: Cervera-Marzal Manuel 
Published: September 2023

Les partis politiques européens font face à une lente érosion de leur socle électoral et militant. Pour tenter d’échapper à ce déclin et, en particulier, à la démonétisation du label partisan, plusieurs organisations politiques nées après la crise de 2008 (Mouvement 5 Étoiles, Podemos, La République en marche, la France insoumise) s’autodéfinissent comme des « mouvements ». Ce vocable indigène trouve un certain écho du côté de la science politique, où s’est récemment diffusé le concept de « parti-mouvement ». Plutôt que d’utiliser ce concept comme catégorie analytique à même d’éclairer sociologiquement le phénomène France insoumise (FI), cet article propose d’étudier les usages militants de la notion de « mouvement ». À travers le cas particulier de la FI, il s’agit de participer à une réflexion plus générale sur la discrétion partisane et sur la façon dont certaines formations, en s’ajustant à la « crise des partis », contribuent à cette crise tout en reconduisant des logiques partisanes non présentées comme telles. Les usages du « mouvement » analysés ici ne sont pas uniquement langagiers ; il s’agit également d’aspects pratiques (règles d’adhésion, répertoire d’action, fonctionnement interne, utilisation du financement public, ancrage territorial, etc.), les deux dimensions – discursives et matérielles – étant étroitement imbriquées. Enfin, il importe de restituer ces usages dans leur contexte socio-politique et d’interroger leur historicité.
Effects of Career Adaptability and Self-Efficacy on Transition Shock Among Newly Graduated Nurses During the COVID-19 Pandemic: A Survey Conducted in China
Authors: Wang Xiaojie , Niu Jianming , Dai Qian , Liu Meifang 
Published: September 2023

Background:
The coronavirus disease 2019 (COVID-19) outbreak has increased the work pressure of nurses worldwide, and managers must provide support and assistance for the transition period of newly graduated nurses.

Method:
A cross-sectional design was adopted to collect a sample of 318 newly graduated nurses from six hospitals in China during the COVID-19 pandemic. Data were collected using a questionnaire that consisted of a demographic questionnaire, the Transition Shock Scale (2015), the Career Adapt-Ability Scale (2012), and the General Self-Efficacy Scale (2001).

Results:
The transition shock of newly graduated nurses was 3.77 ± 0.48 in China. Regression analysis showed that transition shock among newly graduated nurses was predicted by career adaptability, general self-efficacy, living with one's parents, and education level, which accounted for 37.7% of the variance in transition shock.

Conclusion:

Newly graduated nurses experienced a relatively high level of transition shock in China during the COVID-19 pandemic. Managers may offer continuing education to reduce the transition shock of newly graduated nurses based on the factors that affect their transition shock.

[
J Contin Educ Nurs.
2023;54(11):524–532.]
Cognitive impairment in cerebral small vessel disease induced by hypertension
Authors: Wei Weipeng , Ma Denglei , Li Lin , Zhang Lan 
Published: September 2023

AbstractHypertension is a primary risk factor for the progression of cognitive impairment caused by cerebral small vessel disease, the most common cerebrovascular disease. However, the causal relationship between hypertension and cerebral small vessel disease remains unclear. Hypertension has substantial negative impacts on brain health and is recognized as a risk factor for cerebrovascular disease. Chronic hypertension and lifestyle factors are associated with risks for stroke and dementia, and cerebral small vessel disease can cause dementia and stroke. Hypertension is the main driver of cerebral small vessel disease, which changes the structure and function of cerebral vessels via various mechanisms and leads to lacunar infarction, leukoaraiosis, white matter lesions, and intracerebral hemorrhage, ultimately resulting in cognitive decline and demonstrating that the brain is the target organ of hypertension. This review updates our understanding of the pathogenesis of hypertension-induced cerebral small vessel disease and the resulting changes in brain structure and function and declines in cognitive ability. We also discuss drugs to treat cerebral small vessel disease and cognitive impairment.
Microglial response to aging and neuroinflammation in the development of neurodegenerative diseases
Authors: Han Tingting , Xu Yuxiang , Sun Lin , Hashimoto Makoto , Wei Jianshe 
Published: September 2023

Abstract
Cellular senescence and chronic inflammation in response to aging are considered to be indicators of brain aging; they have a great impact on the aging process and are the main risk factors for neurodegeneration. Reviewing the microglial response to aging and neuroinflammation in neurodegenerative diseases will help understand the importance of microglia in neurodegenerative diseases. This review describes the origin and function of microglia and focuses on the role of different states of the microglial response to aging and chronic inflammation on the occurrence and development of neurodegenerative diseases, including Alzheimer’s disease, Huntington’s chorea, and Parkinson’s disease. This review also describes the potential benefits of treating neurodegenerative diseases by modulating changes in microglial states. Therefore, inducing a shift from the neurotoxic to neuroprotective microglial state in neurodegenerative diseases induced by aging and chronic inflammation holds promise for the treatment of neurodegenerative diseases in the future.
Nghiên cứu đặc điểm lâm sàng, cận lâm sàng và kết cục thai kỳ của các trường hợp nhau tiền đạo ở Khoa Phụ sản, Bệnh viện Trường Đại học Y - Dược Huế
Authors: Trương Thị Linh Giang , Trần Thị Mỹ Chi 
Published: September 2023

Mục tiêu: Mô tả đặc điểm lâm sàng, cận lâm sàng và đánh giá kết cục thai kỳ các trường hợp nhau tiền đạo tại Khoa Phụ sản, Bệnh viện Trường Đại học Y - Dược Huế.
Đối tượng và phương pháp nghiên cứu: Những sản phụ được chẩn đoán xác định nhau tiền đạo bằng siêu âm trước sinh và xác nhận chẩn đoán sau sinh hoặc chẩn đoán nhau tiền đạo sau sinh. Phương pháp nghiên cứu mô tả hoàng loạt ca.
Kết quả: Nhau tiền đạo gặp nhiều nhất ở sản phụ có nhóm tuổi từ 35 tuổi trở lên chiếm tỷ lệ 46,9%. Sản phụ có tiền sử mang thai từ 2 lần trở lên chiếm tỷ lệ 65,6%. Đặc điểm lâm sàng: ra máu âm đạo chiếm 65,6%; ngôi bất thường chiếm 15,6%. Nhau tiền đạo trung tâm chiếm 59,4%. Tỷ lệ mổ lấy thai chiếm 93,8%. Tuổi thai chấm dứt thai kỳ trung bình là 37,25 tuần. Thời gian nằm viện trung bình 12,19 ngày.
Kết luận: Chảy máu âm đạo là triệu chứng phổ biến của nhau tiền đạo. Tuổi thai chấm dứt thai kỳ > 37 tuần làm giảm biến chứng cho trẻ sơ sinh.
Food Sector Stock Investment Portfolio Optimization using Mean-Expected Shortfall Model with Particle Swarm Optimization
Authors: Tampubolon Carlos Naek Tua , Subartini Betty , Sukono Sukono 
Published: September 2023

One of the most promising investment products is stocks. Stocks have great profit potential, but the risks associated with this investment should not be ignored by investors. Therefore, an optimal investment strategy is needed by forming an investment portfolio, in order to minimize risk and maximize profits that can be obtained. This study aims to optimize the investment portfolio. The method used in this research is based on the Mean-Expected Shortfall (Mean-ES) model. The use of this method is expected that investors can get a more accurate picture of the level of risk associated with their stock portfolio. In addition, Particle Swarm Optimization (PSO) can also be used to optimize the allocation of funds in a stock portfolio.Â Applying PSO, investors can find the optimal combination of fund allocation to achieve a high level of return. Based on the results of the analysis conducted on the following five stocks AALI, BISI, DSNG, LSIP and SMAR, the results show a risk level of 0.0014 and a return level of 0.021%.Â Thus, investors can form a stock portfolio that has a high potential return, while minimizing the risks associated with stock investment. The implementation of this optimal investment strategy can assist investors in achieving their financial goals in a more effective manner.Â Considering the potential returns and risks involved, investors can make wiser investment decisions and optimize the performance of their stock portfolio.
Honouring Our Strengths - Moving Forward
Authors: Gorringe Scott 
Published: September 2023

Persistent perceptions of deficit and conflict have characterised and constrained the history of relations between Aboriginal and non-Aboriginal Australians since contact. The success of their saturation is apparent in a continuing approach that presents the response to Aboriginal needs in terms of health and education 'gaps‘; 'the Aboriginal problem‘, 'mainstreaming (making them more like us)‘ or 'interventions‘ (and all the lack of ability that such a word implies).
Language in programs and the underlying approach to address very real health, economic and social need continues to carry (and replicate) an implicit assumption of deficit and a positioning of the locus of control away from Aboriginal people (i.e. service 'delivery‘ instead of service 'access‘).
This paper recognises that an erosive mindset of deficit perceptions of Aboriginality is also being widely adopted by Aboriginal people by ourselves and other Aboriginal people – that if un-discussed will continue to impact on the Aboriginal struggle. This paper will unpack an Aboriginal framework (Engoori) that can reconnect people and reignite authentic community engagement discussions.
A Review on Digital Twins Technology: A New Frontier in Agriculture
Authors: Dawn Nabarun , Ghosh Souptik , Saha Aloke , Chatterjee Soumya , Ghosh Tania , Guha Sagnik , Sarkar Subhajit , Mukherjee Pronoy , Sanyal Tanmay 
Published: September 2023

Farming is crucial for various aspects of daily life, including food, the economy, environment, culture, and community. It provides employment opportunities, generates income, and increases the export of agricultural products, particularly in rural areas. Sustainable farming practices promote soil health, biodiversity, and ecosystem services and are essential in many parts of the world. Farming is deeply rooted in cultures and traditions and is a way of life for many communities, passed down from generation to generation. Without farming, we would not have the abundance and variety of food that we enjoy today. Advancements in technology, such as artificial intelligence, machine learning, and the Internet of Things, have greatly impacted agriculture by producing vast amounts of digital data on crops, soil, and weather conditions. However, managing and analyzing these data can be challenging for farmers, especially those in developing nations. To address this issue, affordable digital farming solutions, including open-source software platforms, sensor networks, and mobile apps, are being developed to help farmers optimize their resources, increase yields, and profits. Digital twin technology can play a crucial role in digital farming by providing farmers with a virtual replica of their physical farm. It is a digital depiction of a real-world asset, such a farm or a particular crop field, that gathers information from sensors, weather stations, and satellite pictures. This technology has arisen that has been hailed as revolutionary in a number of fields, including manufacturing machines, construction, agriculture, healthcare, and the automotive and aerospace industries. However, the technology is still in its early stages in agriculture, and it can be challenging to handle the interactions between different farming-related digital twin components. Additionally, digital twinning can require significant investment in technology and infrastructure, which may be a barrier for small-scale farmers.

Received: 31 March 2023 | Revised: 18 July 2023 | Accepted: 8 August 2023

Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.

Data Availability Statement
Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Author Contribution Statement
Nabarun Dawn: Conceptualization, Writing - original draft. Souptik Ghosh: Conceptualization, Writing - original draft. Aloke Saha: Methodology, Resources, Writing - original draft, Writing - review & editing, Visualization. Soumya Chatterjee: Writing - review & editing. Tania Ghosh: Writing - original draft. Sagnik Guha: Writing - original draft. Subhajit Sarkar: Writing - original draft. Pronoy Mukherjee: Writing - original draft. Tanmay Sanyal: Conceptualization, Supervision.
Random Forest Ensemble Machine Learning Model for Early Detection and Prediction of Weight Category
Authors: Ayua Samuel Iorhemen 
Published: September 2023

The number of insurgents in our nation today is significantly rising each day, and the majority of those affected are living as internally displaced persons (IDP) in various IDP camps. These people experience a variety of health problems as a result of numerous factors. Due to financial difficulties and a lack of accessibility to healthcare facilities and medical professionals, these health risk factors may occasionally go undetected for long periods. BMI excesses, such as those in the underweight, overweight, and obese categories, are linked to several health issues, including low birth weight, poor quality of life, diabetes mellitus, cardiovascular diseases, and higher mortality. In the context of this paper, identifying the health status of IDPs depends critically on human body weight. Considering people living in IDP camps, early detection of the weight categories like underweight, overweight, and obese people is crucial because if not, they will be an early death or other health complications. To reduce mortality rates and other health complications that may result from improper and lately identifying underweight, overweight, and obese members in IDP camps, the researcher collected datasets from the IDP camps, trained, and developed a random forest (RF) ensemble model of supervised learning that will aids the medical practitioner in early detection and prediction of the weight category of IDPs. After hyper-parameter tuning and feature selection, the RF machine learning algorithms identify three significant parameters from the dataset's original 10 parameters to use as the model parameter. The highest accuracy obtained was 92% on the test dataset and 96% on the training dataset for the RF classifier using three features, while the accuracy of 83% was obtained on the test dataset and 87% on the training dataset for the RF classifier using ten features.

Received: 30 May 2023 | Revised: 1 August 2023 | Accepted: 25 September 2023

Conflicts of Interest
The author declares that he has no conflicts of interest to this work.

Data Availability Statement
Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Author Contribution Statement
Samuel Iorhemen Ayua: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration.