bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of cerebrospinal fluid leukocyte infiltration and activated neuroimmune mediators on survival with HIV-associated cryptococcal meningitis
Authors: Okurut Samuel , Boulware David R. , Manabe Yukari C. , Tugume Lillian , Skipper Caleb P. , Ssebambulidde Kenneth , Rhein Joshua , Musubire Abdu K. , Akampurira Andrew , Okafor Elizabeth C. , Olobo Joseph O. , Janoff Edward N. , Meya David B. ,   for ASTRO Trial Team
Published: February 2025

Introduction
Cryptococcal meningitis remains a prominent cause of death in persons with advanced HIV disease. CSF leukocyte infiltration predicts survival at 18 weeks; however, how CSF immune response relates to CSF leukocyte infiltration is unknown.

Methods
We enrolled 401 adults with HIV-associated cryptococcal meningitis in Uganda who received amphotericin and fluconazole induction therapy. We assessed the association of CSF leukocytes, chemokine, and cytokine responses with 18-week survival.

Results
Participants with CSF leukocytes ≥50/microliter had a higher probability of 18-week survival compared with those with ≤50 cells/microliter (68% (52/77 vs. 52% (151/292); Hazard Ratio = 1.63, 95% confidence interval 1.14–2.23; p = 0.008). Survival was also associated with higher expression of T helper (Th)-1, Th17 cytokines, and immune regulatory elements. CSF levels of Programmed Death-1 Ligand, CXCL10, and Interleukin (IL)-2 independently predicted survival. In multivariate analysis, CSF leukocytes were inversely associated with CSF fungal burden and positively associated with CSF protein and immune parameters (interferon-gamma (IFN-γ), IL-17A, tumor necrosis factor alpha (TNF)-α, and circulating CD4+ and CD8+ T cells).

Conclusion
18-week survival after diagnosis of cryptococcal meningitis was associated with higher CSF leukocytes at baseline with greater T helper 1 (IFN-γ, IL-2 and TNF-α cytokines), T helper 17 (IL-17A cytokine) and CXCR3+ T cell (CXCL10 chemokine) responses. These results highlight the interdependent contribution of soluble and cellular immune responses in predicting survival and may support potential pathways for adjunctive immune therapy in HIV-associated cryptococcal meningitis.
Implikasi Klausula Eksonerasi terhadap Perlindungan Konsumen dalam Kontrak <i>Financial Technology Peer-to-Peer Lending</i>
Authors: Saifullah Abdian , Adhyputra Muhammad Fadel , Fikri Ziadul 
Published: February 2025

This article discusses the impact of the implementation of exoneration clauses in fintech P2P lending service contracts on the imbalance of risk between lenders and service providers. Fintech P2P lending has grown rapidly in Indonesia, but standard clauses, especially those containing exoneration clauses, can create a risk imbalance. The Consumer Protection Act and OJK regulations prohibit unfair standard clauses. This article identifies that standard clauses in service agreements often place an unequal burden of risk, particularly related to credit and default risks, which the lender entirely bears. The principle of consensualism, which emphasizes the agreement between parties, becomes irrelevant when there is an imbalance of positions. Legal protection for lenders is considered weak, and penalties are more administrative. The article concludes that regulatory adjustments and an emphasis on consumer protection principles are needed to achieve a fairer risk balance in the fintech P2P lending industry.
Artikel ini membahas klausula eksonerasi dalam fintech peer to peer (P2P) lending di Indonesia, dengan fokus pada dampaknya terhadap hak dan perlindungan konsumen serta langkah-langkah untuk meningkatkan perlindungan hukum. P2P lending, sebagai salah satu bentuk layanan fintech yang semakin populer, menawarkan akses pembiayaan yang mudah bagi masyarakat, namun sering kali mencantumkan klausula eksonerasi yang mengalihkan tanggung jawab risiko gagal bayar kepada konsumen, sehingga menimbulkan ketidakseimbangan hak antara konsumen dan penyedia layanan. Penelitian ini bertujuan menganalisis karakteristik dan penerapan klausula eksonerasi dalam kontrak P2P lending, dampaknya terhadap hak dan keamanan konsumen, serta upaya peningkatan perlindungan hukum bagi konsumen. Penelitian ini merupakan studi pustaka yang menggunakan metode kualitatif dengan pendekatan yuridis normatif dan pendekatan perundang-undangan yang dilakukan untuk menelaah aturan yang berlaku, seperti Undang-Undang Perlindungan Konsumen dan peraturan OJK terkait layanan fintech. Hasil penelitian menunjukkan bahwa klausula eksonerasi dalam kontrak P2P lending cenderung melemahkan posisi hukum konsumen, meningkatkan risiko finansial, dan mengurangi kepercayaan terhadap industri fintech. Maka, direkomendasikan adanya pembaruan regulasi, pengawasan intensif, dan edukasi hukum bagi konsumen sebagai langkah-langkah untuk memperkuat perlindungan konsumen dalam kontrak digital fintech.
Digital well-being begins with inclusion: A systematic review of videoconferencing guidelines for equitable learning
Authors: Heiser Rebecca E. , Palalas Agnieszka , Gollert Ashley 
Published: February 2025

As higher education institutions increasingly adopt videoconferencing technologies to broaden access to learning, the need for evidence-based, inclusive practices to support digital well-being becomes paramount. Integrating these technologies into the curriculum necessitates careful design considerations to prevent unintended consequences and uphold learners' privacy, safety, equity and humanity. Our systematic review, based on eight dimensions of digital wellness, has identified key inclusive design decisions for videoconference-enabled formal learning experiences. Drawing from data analysed from 36 empirical studies, we organised six inclusive design considerations for digital wellness in videoconferencing learning environments. These considerations – accessibility, active learning strategies, multimodal communication, readiness, social presence and sociocultural sensitivity – offer course designers a practical framework to create evidence-based practices that foster digital wellness and inclusion in videoconferencing learning spaces.

Implications for practice or policy:

Academic institutions should recognise digital wellness as a shared responsibility among institutional stakeholders, including faculty, learners, and administrative professionals.
Institutional policies should prioritise learner choice and equitable access for co-creating knowledge and fostering safe communication.
Stakeholders should be empowered to make informed choices about digital habits to mitigate unintended consequences and encourage mindful technology use.
Accessibility barriers must be addressed through intentional learning design, ensuring meaningful participation and interaction for all.
The fourth term of the asymptotic behavior near the boundary of a large solution to semilinear Poisson equation with double-power nonlinearity
Authors: Takimoto Kazuhiro , Zhang Yuxiao 
Published: February 2025

Abstract
In this paper we extend our previous results on the asymptotic behavior near the boundary of a positive large solution to the semilinear Poisson equation with double-power nonlinearity

Δ
⁢
u

=

u
p

+

α
⁢

u
q

{\Delta u=u^{p}+\alpha u^{q}}

in a bounded smooth domain, where

p
>
1

{p>1}

,

-
1

<
q
<
p

{-1<q<p}

and

α
∈
ℝ

{\alpha\in\mathbb{R}}

. We obtain the fourth term of a solution u near the boundary for

p
+
1

2

≤
q
<
p

{\frac{p+1}{2}\leq q<p}

.
Effect of seawater intrusion in water-glycol hydraulic fluid on the electrochemical corrosion behavior of carbon steel and stainless steel
Authors: Xu Runzhou , Liu Yinshui , Jiang Xianchun , Deng Yipan 
Published: February 2025

Abstract
Water-glycol hydraulic fluid (HFC) has been applied in deep-sea hydraulic systems owing to its flame retardant and environmental performance. However, the corrosion characteristics of metals in HFC have not been widely investigated. The electrochemical corrosion behavior of 45# steel and 17-4PH stainless steel in HFC containing four concentrations of seawater (0 %, 3 %, 11 %, 19 %) were evaluated by potentiodynamic polarizations (−800 mV∼1,500 mV vs. Hg/HgO), electrochemical impedance spectroscopy (EIS), potentiostatic polarizations (0.5 VHg/HgO) and immersion test (240 h). The research results indicate that a corrosion-resistant carbon film is formed on the surface of 17-4PH stainless steel and 45# steel in HFC. The infrared spectroscopy results suggest that the formation of the carbon film is due to the adsorption of the benzene ring of tolyltriazole (TTA) in HFC by the metal C. 45# steel exhibited stronger corrosion resistance than 17-4PH stainless steel due to the formation of a denser carbon film through high carbon content adsorption. The infiltration of seawater into HFC enhanced its corrosiveness by enhancing its conductivity and Cl− pitting on the C film. This research is significant as it sheds light on the corrosion behavior of metals in HFC, a crucial aspect in the design and maintenance of deep-sea hydraulic systems.
E-Bayesian Estimation of the Weighted Power Function Distribution with Application to Medical Data
Authors: Athirakrishnan R. B. , Sathar E. I. Abdul 
Published: February 2025

Abstract
This paper investigates E-Bayesian estimation for the Weighted Power Function Distribution (WPFD), a modified version of the Power Function distribution which is widely applied in biosciences and engineering. Three distinct priors for hyper-parameters are considered, and E-posterior risks are derived using squared error, entropy (measuring uncertainty), and precautionary loss functions (penalizing extreme deviations). Properties of the E-Bayesian estimators are analyzed, supplemented by a simulation study and real data application. Results indicate that E-Bayesian estimators outperform Bayesian counterparts in terms of E-posterior risk, as demonstrated in simulation studies.
A rotation total variation regularization for full waveform inversion
Authors: Wu Faxuan , He Qinglong , Zou Jiangyan , Liu Zexian 
Published: February 2025

Abstract
Mathematically, full waveform inversion is a nonlinear and ill-posed inverse problem, requiring a regularization method to obtain a reasonable result. Total variation regularization is an effective regularization method which can preserve the sharp edges of the solution. It is well-known that the standard total variation regularization usually leads to stair-casing artifacts in slanted structures. Thus, the standard total variation regularization may not be effective in solving the full waveform inverse problem, due to the slanted properties of the subsurface structures. In this paper, we propose a rotational total variation regularization method based on the weighting rotational transform operator and the standard total variation regularization for the full waveform inverse problem.
To further improve
the resolution of the inverted results for different directional structures, a hybrid regularization method combining the rotational and standard total variation regularization is proposed. An efficient version of the conjugate gradient method, i.e., CGOPT, is used to efficiently solve the proposed methods. Numerical experiments based on Sigsbee and Marmousi2 models are carried out to demonstrate the effectiveness of our methods.
On determining the fractional exponent of the subdiffusion equation
Authors: Alimov Shavkat , Ashurov Ravshan 
Published: February 2025

Abstract
Determining the unknown order of the fractional derivative in differential equations simulating various processes is an important task of modern applied mathematics.
In the last decade, this problem has been actively studied by specialists. A number of interesting results with a certain applied significance were obtained. This paper provides a short overview of the most interesting works in this direction. Next, we consider the problem of determining the order of the fractional derivative in the subdiffusion equation, provided that the elliptic operator included in this equation has at least one negative eigenvalue. An asymptotic formula is obtained according to which, knowing the solution at least at one point of the domain under consideration, the required order can be calculated.
On an inverse problem with high-order overdetermination conditions
Authors: Abdullayev Vagif 
Published: February 2025

Abstract
We study the problem of identifying the constant parameters involved in the right-hand sides of a linear non-autonomous system of differential equations with first-order ordinary derivatives. The specificity of the problem lies in the fact that additional conditions for identifying parameters, firstly, are non-local, and secondly, they include derivatives of an unknown function. We examine the conditions for the existence and uniqueness of a solution to the problem and propose two different approaches to the numerical solution of the problem. The results of computer experiments are presented.
GERMA: a comprehensive corpus of untrustworthy German news
Authors: Carrella Fabio , Miani Alessandro 
Published: February 2025

Abstract
The proliferation of online misinformation undermines societal cohesion and democratic principles. Effectively combating this issue relies on developing automatic classifiers, which require training data to achieve high classification accuracy. However, while English-language resources are abundant, other languages are often neglected, creating a critical gap in our ability to address misinformation globally. Furthermore, this lack of data in languages other than English hinders progress in social sciences such as psychology and linguistics. In response, we present GERMA, a corpus comprising over 230,000 German news articles (more than 130 million tokens) gathered from 30 websites classified as “untrustworthy” by professional fact-checkers. GERMA serves as an openly accessible repository, providing a wealth of text- and website-level data for testing hypotheses and developing automated detection algorithms. Beyond articles, GERMA includes supplementary data such as titles, publication dates, and semantic measures like keywords, topics, and lexical features. Moreover, GERMA offers domain-specific metadata, such as website quality evaluation based on factors like bias, factuality, credibility, and transparency. Higher-level metadata incorporates various metrics related to website traffic, offering a valuable tool into the analysis of online user behavior. GERMA represents a comprehensive resource for research in untrustworthy news detection, supporting qualitative and quantitative investigations in the German language.
On mixtures of bivariate generalized hypergeometric factorial moment distributions
Authors: Kumar C. Satheesh , Chandra S. Nikhil 
Published: February 2025

Abstract
Here we consider beta and/or gamma mixture of the bivariate generalized hypergeometric factorial moment distribution (BGHFMD) of Kumar (Metrika, 2008).
Further, it is establised that the BGHFMD can be obtained as a limit of another BGHFMD.
Enhancing Data Reliability in Cloud-Native Environments through AI-Orchestrated Processes
Authors: Pentyala Dillep kumar 
Published: February 2025

In today’s fast-evolving digital landscape, cloud-native environments have emerged as the cornerstone of scalable and flexible computing. However, ensuring data reliability within these environments remains a critical challenge due to the dynamic nature of cloud infrastructure, resource variability, and the increased frequency of system failures. Traditional data reliability mechanisms, such as redundancy and replication, often fall short in addressing the complex demands of modern cloud-native applications. This paper proposes an innovative approach to enhancing data reliability through the integration of Artificial Intelligence (AI)-orchestrated processes. AI techniques, including machine learning algorithms, predictive analytic, and real-time data monitoring, offer promising solutions to detect, predict, and mitigate issues related to data consistency, availability, and fault tolerance in cloud-native environments.
The research examines the application of AI-driven orchestration in managing cloud infrastructure, focusing on automation of error detection, real-time anomaly identification, and dynamic adjustment of resources to ensure continuous data reliability. By leveraging AI's capabilities, cloud-native systems can autonomously identify potential data inconsistencies, optimize resource allocation, and rapidly recover from failures, all while maintaining high system performance. Through a comprehensive review of existing literature, coupled with practical case studies and quantitative evaluation, the study demonstrates the substantial advantages of AI-enhanced processes over traditional data management strategies. These benefits include increased operational efficiency, reduced human intervention, improved system resilience, and enhanced fault tolerance.
While AI orchestration offers significant potential, challenges such as the computational complexity of AI models, data security concerns, and the need for robust AI model training must be addressed for broader adoption. The findings of this research contribute to a deeper understanding of AI’s role in modernizing cloud-native data management and provide actionable insights for organizations looking to adopt AI-driven solutions to enhance data reliability in their cloud environments.
International Trade and Growth in Nigeria
Authors: Adeniji Quadri , Kareem Rasaki Olufemi , Taiwo Abdulqodir Babtunde , Ashiru Lukman Olawale 
Published: February 2025

Abstract

The study investigates the relationship between international trade and economic growth in Nigeria from 1981 to 2022. The specific objective was to assess the impact of total imports, and total exports on per capita income. Data on total imports, exports (proxies for international trade), and per capita income (proxy for economic growth) were obtained from the World Bank Development Indicators (WDI). The stationarity of the data was tested using the Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) tests. The appropriate lag lengths were determined using lag length selection criteria. The ARDL bound test was employed to assess the long-run relationships among the variables. The Error Correction Model (ECM) was applied to estimate the coefficients in the model. The results of the ADF and PP tests showed that the variables were stationary at mixed levels, both at level I0 and first difference I1. A one-period lag was selected based on the lag length criteria. The ARDL bound test revealed significant long-run equilibrium relationships in the Model. The ECM results revealed that imports had an insignificant negative effect on per capita income (coefficient = -0.017954, p = 0.4627), while exports had an insignificant positive effect (coefficient = 0.004460, p = 0.8352). The study concluded that international trade had an insignificant impact on Nigeria's economic growth over the study period and recommends that the government should implement trade policy reforms that simplify procedures and reduce trade barriers to expand market access and increase Nigeria’s integration into global supply chains.
Neuritin suppresses GABAergic neurons ferroptosis to improve cognitive impairment in diabetes mellitus
Authors: Zhou Hongli , Zhang Zuo , Zhou Jianyun , Zhou Jiyin 
Published: February 2025

Abstract

Aims: Alterations in iron homeostasis are associated with several neurodegenerative diseases. Cognitive dysfunction has become an important concomitant symptom in people with type 2 diabetes mellitus. Therefore, we investigated the role of neuritin in ameliorating cognitive dysfunction resulting from ferroptosis in diabetic neurons using a model of neuritin overexpression in GABAergic.
Methods: The constructed transgenic mice were used to observe memory function changes using the Morris water maze. The ferroptosis in GABAergic in hippocampus and AMPK/Nrf2 signaling pathway were detected by Western blot, transmission electron microscopy, and immunofluorescence. High glucose was used to induce ferroptosis in HT22 cells in vitro, and neuritin was further confirmed to reduce ferroptosis in HT22 cells through AMPK/Nrf2 signaling pathway by chemical assays and Western blot assays.
Results: Neuritin overexpression in GABAergic of db/db mice significantly ameliorated cognitive dysfunction, mitochondrial dysfunction, reversed ferroptosis-associated symbolic changes and reduced ferroptosis in the hippocampus. And also increased the co-localisation coefficient of GAD65 and AMPK in the hippocampus. Neuritin activates the AMPK/Nrf2 signaling pathway to inhibit high glucose induced ferroptosis in HT22 cells. Neuritin was observed to regulate the AMPK/Nrf2 signaling pathway in HT22 cells and promote Nrf2 expression to inhibit HT22 cell ferroptosis and ameliorate diabetic cognitive dysfunction.
Conclusions: These findings suggest that neuritin may attenuate diabetes associated cognitive dysfunction by modulating neuronal ferroptosis, at least partly via AMPK/Nrf2 signaling pathway.
Особливості напружено-деформованого стану системи «фіксатор — кістка» при остеосинтезі нижньої щелепи в ділянці кута фіксаторами з β-Zr-Ti-Nb сплаву
Authors: Романова А.Ю. , Крищук М.Г. 
Published: February 2025

Актуальність. Переломи на ділянці кута нижньої щелепи, за даними більшості досліджень, є поширеним видом перелому, що асоціюється з найбільшою кількістю ускладнень, зокрема розвитком інфекції, уповільненням консолідації уламків та їх неправильним зрощенням, що має вторинні наслідки. Мета: порівняти вплив традиційних титанових фіксаторів для остеосинтезу нижньої щелепи і пластин з нового β-Zr-Ti-Nb сплаву на розподіл напружень і деформацій в елементах фіксації та кістковій тканині залежно від ступеня зрілості кісткового регенерату в ділянці кута нижньої щелепи. Матеріали та методи. Вивчення біомеханічної поведінки систем «фіксатор — кістка» при переломах у ділянці кута нижньої щелепи із застосуванням фіксаторів з різних матеріалів проводили в модельному експерименті, використовуючи метод імітаційного комп’ютерного моделювання. Було створено й обраховано 6 багатокомпонентних імітаційних комп’ютерних моделей зі змінними параметрами (моделі нижньої щелепи, накісткових пластин і гвинтів). Варіативними параметрами були механічні властивості елементів фіксації, що відповідали традиційному титановому сплаву Ti6Al4V (контроль) або β-Zr-Ti-Nb сплаву (основна група). Фізико-механічні параметри кісткового регенерату в моделях також змінювали, надаючи їм властивостей, притаманних: 1) незрілому фіброзно-кістковому регенерату; 2) регенерату з грубоволокнистої (ретикулофіброзної) кісткової тканини; 3) кістковому регенерату з ознаками компактизації. Результати. При застосуванні пластин з β-Zr-Ti-Nb сплаву на ділянці кута нижньої щелепи деформація системи, що характеризує стабільність фіксації, практично не відрізнялась від показників контрольної групи. Натомість розподіл напружень у системі між елементами фіксації та кістковою тканиною в зоні зрощення був більш рівномірним. Максимальні напруження в пластині в міру дозрівання регенерату зменшувались з 83,7 до 26,2 МПа і виявлялися в 1,5–2,5 раза меншими, ніж у контролі. Висновки. Проведені дослідження виявили низку біомеханічних переваг β-Zr-Ti-Nb пластин, що при правильному розташуванні дозволяють забезпечити необхідну жорсткість фіксації і водночас більшу міцність і надійність системи «фіксатор — кістка», а також наблизити розподіл функціональних навантажень у зоні кісткового зрощення до природного, притаманного ділянці кута нижньої щелепи.