bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rebalancing Immune Interactions within the Brain-Spleen Axis Mitigates Neuroinflammation in an Aging Mouse Model of Alzheimer’s Disease
Authors: Cantone Anna Flavia , Burgaletto Chiara , Di Benedetto Giulia , Gaudio Gabriella , Giallongo Cesarina , Caltabiano Rosario , Broggi Giuseppe , Bellanca Carlo Maria , Cantarella Giuseppina , Bernardini Renato 
Published: February 2025

Abstract
Alzheimer’s disease (AD) is the most common cause of dementia worldwide, characterized by accumulation of amyloid-β protein and hyperphosphorylated tau protein in the brain. Neuroinflammation, resulting from chronic activation of brain-resident innate immune cells as well as enhanced peripheral leukocyte access across the blood–brain barrier, crucially affects AD progression. In this context, TNFSF10, a cytokine substantially expressed in the AD brain, has been shown to modulate both the innate and the adaptive branches of the immune response in AD-related neuroinflammation. In this study, we explored whether a TNFSF10-neutralizing treatment could represent a tool to re-balance the overall overshooting inflammatory response in a mouse model of AD. Specifically, 3xTg-AD mice were treated sub-chronically with an anti-TNFSF10 monoclonal antibody for three months, and were then sacrificed at 15 months. TNFSF10 neutralization reduced the expression of the inflammatory marker CD86, inversely related to levels of the anti-inflammatory marker CD206 in the brain of 3xTg-AD mice, suggesting a switch of microglia towards a neuroprotective phenotype. Similar results were observed in the splenic macrophage population. Moreover, flow cytometry revealed a significant decrease of CD4+CD25+FOXP3+ T regulatory cells as well as reduced number of CD11b+LY6Chigh proinflammatory monocytes in both the brain and the spleen of 3xTg-AD mice treated with anti-TNFSF10 monoclonal antibody. Finally, the treatment resulted in lower count of splenic CD4+ and CD8+ T cells expressing PD1. The data suggest that TNFSF10 system-targeted treatment effectively restrain overshooting central and peripheral inflammation by rebalancing the overall immune response, mitigating the progression of AD pathology.

Graphical Abstract
Der Zusammenhang zwischen Geschlechterrollenkonflikt und depressivem Syndrom bei männlichen Studierenden – Ergebnisse einer Online-Befragung an der Universität zu Köln
Authors: Karger Celina , Weber Rainer , Pförtner Timo-Kolja 
Published: February 2025

Zusammenfassung

Hintergrund
Studierende gelten laut Studienlage als besonders vulnerabel gegenüber einem depressiven Syndrom. Ergebnisse verschiedener Studien deuten zudem darauf hin, dass Depressionen bei Männern unterdiagnostiziert sind. Ein wesentlicher Grund hierfür liegt in der unzureichenden Berücksichtigung von Symptomen und Risikofaktoren einer Depression. Aktuelle Forschungsergebnisse legen nahe, dass ein Geschlechterrollenkonflikt ein potenzieller Risikofaktor für das Auftreten von depressiven Störungen bei Männern darstellt. Insbesondere Studierende sind aufgrund der spezifischen Belastungen während des Studiums in erhöhtem Maße von mentalen Belastungen betroffen.

Fragestellung
Die vorliegende Studie zielt darauf ab, den Zusammenhang zwischen unterschiedlichen Dimensionen eines Geschlechterrollenkonflikts und dem Auftreten eines depressiven Syndroms bei männlichen Studierenden zu analysieren.

Methodik
Im Sommersemester 2022 wurde eine Multicenterstudie an der Universität Köln durchgeführt, an welcher 867 Studenten teilgenommen haben. Das depressive Syndrom wurde mit dem „patient health questionnaire“ (PHQ-9) und der Geschlechterrollenkonflikt mithilfe der Gender-role-conflict-Skala (GRCS-SF) erhoben. Mittels multipler linearer Regression wurde der Zusammenhang zwischen depressiver Symptomlast und unterschiedlichen Dimensionen eines Geschlechterrollenkonflikts geschätzt, adjustiert nach Alter, angestrebtem Studienabschluss, Studienabbruchsgedanken, aktueller psychotherapeutischer Behandlung und mentaler Gesundheitskompetenz.

Ergebnisse
Ein depressives Syndrom wiesen 80,6 % der männlichen Studierenden auf, wobei bei 48,4 % der Verdacht auf das Vorliegen einer zumindest mittelgradigen Major-Depression bestand. Die depressive Symptomlast steigt signifikant für männliche Studierende, die restriktiver mit ihren Emotionen umgehen (t = 5,388, p < 0,001; B = 0,938; β = 0,213) und von einem höheren Konflikt zwischen Arbeit und Freizeit (mit besonderem Hinblick auf familiäre Aspekte) berichteten (t = 8,887, p < 0,001; B = 1,591; β = 0,332).

Schlussfolgerung
Die vorliegenden Ergebnisse bestätigen internationale Studien und unterstreichen damit die Notwendigkeit, männliche Studierende als Zielgruppe zur Prävention gegenüber mentalen Erkrankungen stärker zu fokussieren. Besondere Aufmerksamkeit sollte der Bewältigung von restriktiven Emotionen und möglichen Spannungen zwischen beruflichen und familiären Verpflichtungen gelegt werden.
Improving resilience through monodrama
Authors: Told Michaela R. 
Published: February 2025

Abstract
This research, published in the Zeitschrift für Psychodrama und Soziomterie (ZPS), investigated the effectiveness of psychodrama interventions linked to resilience and political activism. The study explored the life of an exiled political journalist who had lived through a series of severely stressful situations. Different psychodrama techniques, namely the social atom, the safe place, the lifeline, the roleplay, the cultural atom and the suitcase of resources, were used to explore different aspects with the aim of strengthening the resilience of a political migrant and political activist. The psychodrama interventions were assessed through different quantitative questionnaires and were then cross-checked with the feedback received after each session and with the qualitative research tools used in this research. The psychodrama interventions were effective as they have improved the resilience of the client and provided new pathways for his way forward in life. The political context remained an important determinant of well-being and influenced the overall results.
The source of coronavirus anxiety: a longitudinal network analyses of the symptoms in the coronavirus anxiety scale (CAS) and their associations with depression, anxiety, stress and alcohol use
Authors: Tullett-Prado Deon , Gomez Rapson , Watson Shaun , Stavropoulos Vasileios 
Published: February 2025

Abstract
The Covid-19 Pandemic and subsequent actions taken by national/international organizations has generated a large amount of anxiety which may roam into the realm of pathology– COVID Anxiety. To measure this phenomenon, measures such as the CAS have been developed. The CAS being a self-report measure of anxiety-related physiologically symptoms that are aroused by information and thoughts related to COVID-19. However, as the CAS is fairly new it requires validation and examination. This study fulfils this need using Longitudinal Network Analysis. A total of 968, 462 and 276 adults from an Australian community sample across 3 time points completed the CAS, and measures of depression, anxiety, stress, and alcohol use. Regularized partial correlation network analysis (EBICglasso)was subsequently employed to examine the network structure of ratings of COVID anxiety symptoms as presented in the Coronavirus Anxiety Scale (CAS) and how these symptoms are related to distress (combination of depression, anxiety, stress) and alcohol use, both cross-sectionally and longitudinally. The network produced was found stable both cross-sectionally and across time. In terms of network structure, the most central CAS symptom identified being abdominal distress, followed by tonic immobility and the least being dizziness. Furthermore, the network revealed at least moderate effect size connections for tonic immobility with dizziness, sleep disturbances abdominal distress, and for abdominal distress with appetite loss. Additionally, distress was associated positively with dizziness, tonic immobility, and appetitive loss. Alcohol use was associated positively with dizziness and abdominal distress, and negatively with tonic immobility and appetitive loss. Overall, the findings showed a novel understanding of the structure of the COVID anxiety symptoms in the CAS, and how these symptoms are associated with distress and alcohol use. The clinical implications of the findings for assessment and treatment of COVID anxiety and its comorbidity with distress and alcohol use are discussed.
Microgravity Control of a Free Surface in Elliptical Containers Via Thermocapillary Flows
Authors: Jiménez Blanco Ignacio , Salgado Sánchez Pablo , Gligor Dan , Borshchak Kachalov Andriy , Arshadi Ali 
Published: February 2025

Abstract
We present here an extensive analysis of the free surface dynamics driven by the thermocapillary effect in half-filled elliptical containers in microgravity. Depending on the cell ellipticity

$$\delta $$

δ

, which selects the preferred static equilibrium via surface energy, and on the applied thermal forcing

$$\Delta T$$

Δ
T

, interesting dynamics are found. Simulations show that the steady, thermally-driven position of the interface — perpendicular to

$$\Delta T$$

Δ
T

— undergoes a pitchfork bifurcation at a critical

$$\delta _\textrm{cr}$$

δ
cr

that breaks the vertical reflection symmetry of the system. These results are supported by (leading order) estimates of the opposing thermocapillary and surface tension forces, predicting the linear dependence of

$$\delta _\textrm{cr}$$

δ
cr

on

$$\Delta T$$

Δ
T

. Finally, the free surface relaxation after switching off the thermal control is explored. As a whole, the present analysis indicates that one can combine thermocapillary flows and an adequate cell design to manipulate and control fluids in microgravity, with potential in a wide variety of applications.
Too much effort, too little reward? Dropout considerations of German elite athletes
Authors: Blessing Jonna , Hilpisch Celine , Krüger Karsten , Raab Markus , Wiese Lena , Zentgraf Karen , Mutz Michael 
Published: February 2025

Abstract

Introduction
Dropout, a premature end of a sporting career, is considered a major problem for the elite sports system. This paper examines factors that contribute to elite athletes’ considerations regarding dropout. Drawing on key theorizing from the sociology of work and organizations, we conceptualize dropout as the result of a reflexive process triggered by a perceived mismatch between effort and reward.

Methods
Empirically, we analyze survey data from N = 418 German elite athletes (M = 18.4 years; 53% male; 47% female) using multiple regression models. The sampled athletes represent the highest national squad levels of eight Olympic disciplines.

Results
Findings indicate that the interaction of high time investment (i.e., high effort) with lack of athletic success (i.e., low reward) is crucial for predicting dropout considerations. Furthermore, personal time and role conflicts, injuries and a negative emotional training climate are risk factors for dropout, whereas positive training-related emotions prevent athletes from dropping out.

Conclusion
Findings support the notion that athletes in periods of high effort and low rewards are vulnerable to considering a premature end to their careers. We argue for personalized support for athletes facing such a gratification crisis.
Localized environmental variability within the Hindukush-Himalayan region of Pakistan
Authors: Haq Fazlul , Afreen Munazza , Mark Bryan G. , Rahman Ghani , Shum C. K. , Shutkin Tal Y. , Tjoelker Adam R. 
Published: February 2025

Abstract
The Hindukush-Himalayan (HKH) region, known for its eco-environmental importance, has been witnessing transformations in recent years governed by factors such as climate variability, land use shifts, and population growth. These changes have profound implications for regional sustainability, water resources, and livelihood. This study attempts to explore the spatial and temporal variability in selected environmental parameters including land surface temperature (LST), normalized difference vegetation index (NDVI), precipitation patterns, and normalized difference snow index (NDSI), and land use land cover (LULC) from 1990 to 2022 using Landsat imageries (30 m spatial resolution), CHIRPS precipitation data at 0.05° spatial resolution. The study area spans 32,000 km2 covering two major political/administrative divisions (Malakand and Hazara) in the HKH region of Pakistan. The study area was selected primarily because of the unprecedented changes over the last three decades. For detailed spatial analysis, the area was divided into five elevation zones and LST, NDVI, NDSI, and LULC analyses were conducted utilizing primarily the Google Earth Engine (GEE) platform and climate engine. The study results revealed a notable rise in LST in the lowest elevation zone. The NDVI and LULC analyses revealed a noticeable decline in vegetation cover from 5988 km2 in 1990, to 4225 km2 by 2010, followed by a growth to 7669 km2 in 2022, since 2010 after the launching of the Billion Tree Tsunami Afforestation Project (BTTAP) in 2013. Likewise, the precipitation patterns exhibit transitioning from low to high precipitation levels. However, the most notable finding of the study is the marked decline in snow covered area 7000 km2 to 3800 km2 between 1990 and 2022.
Innovative laboratory techniques shaping cancer diagnosis and treatment in developing countries
Authors: Lawal Azeez Okikiola , Ogunniyi Tolutope Joseph , Oludele Oriire Idunnuoluwa , Olorunfemi Oluwaloseyi Ayomipo , Okesanya Olalekan John , Ogaya Jerico Bautista , Manirambona Emery , Ahmed Mohamed Mustaf , Lucero-Prisno Don Eliseo 
Published: February 2025

Abstract
Cancer is a major global health challenge, with approximately 19.3 million new cases and 10 million deaths estimated by 2020. Laboratory advancements in cancer detection have transformed diagnostic capabilities, particularly through the use of biomarkers that play crucial roles in risk assessment, therapy selection, and disease monitoring. Tumor histology, single-cell technology, flow cytometry, molecular imaging, liquid biopsy, immunoassays, and molecular diagnostics have emerged as pivotal tools for cancer detection. The integration of artificial intelligence, particularly deep learning and convolutional neural networks, has enhanced the diagnostic accuracy and data analysis capabilities. However, developing countries face significant challenges including financial constraints, inadequate healthcare infrastructure, and limited access to advanced diagnostic technologies. The impact of COVID-19 has further complicated cancer management in resource-limited settings. Future research should focus on precision medicine and early cancer diagnosis through sophisticated laboratory techniques to improve prognosis and health outcomes. This review examines the evolving landscape of cancer detection, focusing on laboratory research breakthroughs and limitations in developing countries, while providing recommendations for advancing tumor diagnostics in resource-constrained environments.
Fekete-szegö results for certain class of meromorphic functions using $$q-$$derivative operator
Authors: Mostafa A. O. , El-Hawsh G. M. 
Published: February 2025

Abstract
In the present paper, we introduce the subclasses

$$\sum _{b}^{*}\left( q,\phi \right) $$

∑

b

∗

q
,
ϕ

and

$$\sum _{b}^{*}\left( \alpha ,q,\phi \right) $$

∑

b

∗

α
,
q
,
ϕ

of meromorphic functions

$$f\left( z\right) $$

f

z

satisfying

$$1+\frac{1}{b}\left[ -\frac{qzD_{q}^{*}f(z)}{f(z)}-1\right] \prec \phi (z)$$

1
+

1
b

-

q
z

D

q

∗

f

(
z
)

f
(
z
)

-
1

≺
ϕ

(
z
)

and

$$1+\frac{1}{b}\left[ \frac{-\left( 1-\frac{\alpha }{q}\right) qzD_{q}^{*}f\left( z\right) +\alpha qzD_{q}^{*}\left[ zD_{q}^{*}f\left( z\right) \right] }{\left( 1-\frac{\alpha }{q}\right) f\left( z\right) -\alpha zD_{q}^{*}f\left( z\right) }-1\right] \prec \phi (z)\ (b\in \mathbb {C} ^{*}=\mathbb {C}\backslash \left\{ 0\right\} ,\ $$

1
+

1
b

-

1
-

α
q

q
z

D

q

∗

f

z

+
α
q
z

D

q

∗

z

D

q

∗

f

z

1
-

α
q

f

z

-
α
z

D

q

∗

f

z

-
1

≺
ϕ

(
z
)

(
b
∈

C

∗

=
C
\

0

,

$$\alpha \in \mathbb {C}\backslash (0,1],\ \operatorname {Re}(\alpha )\ge 0,\ 0<q<1)$$

α
∈
C
\
(
0
,
1
]
,

Re
(
α
)
≥
0
,

0
<
q
<
1
)

, respectively. Sharp bounds for the Fekete-Szegö functional

$$\left| a_{1}-\mu a_{0}^{2}\right| $$

a
1

-
μ

a

0

2

are obtained.
The mean field market model revisited
Authors: Hasenbichler Manuel , Müller Wolfgang , Thonhauser Stefan 
Published: February 2025

Abstract
In this paper, we present an alternative perspective on the mean-field LIBOR market model introduced by Desmettre et al. (Int J Theor Appl Finance, 2022. https://doi.org/10.1142/S0219024922500054). Our novel approach embeds the mean-field model in a classical setup, but retains the crucial feature of controlling the term rate’s variances over large time horizons. This maintains the market model’s practicability, since calibrations and simulations can be carried out efficiently without nested simulations. In addition, we show that our framework can be directly applied to model in-arrear term rates derived from SOFR, ESTR or other nearly risk-free overnight short-term rates—a crucial feature since many IBOR rates are gradually being replaced. These results are complemented by a calibration study and some theoretical arguments which allow to estimate the probability of unrealistically high rates in the presented market models.
A case of posterior and reversible encephalopathy syndrome in a patient previously undiagnosed with lupus nephritis
Authors: Kadoh Yoichi , Yoshino Jun , Oka Tomohiro , Itoga Kenichi , Hanada Maki , Niino Daisuke , Nagai Atsushi , Ichinose Kunihiro , Kanda Takeshi 
Published: February 2025

Abstract
Posterior reversible encephalopathy syndrome (PRES) is a rare clinico-neuroradiologic disease associated with various conditions, such as hypertension, eclampsia, chronic kidney disease, and autoimmune diseases. Here, we present the case of the unusual occurrence of PRES with hypertensive emergency and renal insufficiency in a 37-year-old woman previously undiagnosed with systemic lupus erythematosus (SLE) and lupus nephritis. The patient was emergently admitted to our hospital with sudden onset of visual impairment, headache, and high blood pressure, and she was eventually diagnosed with PRES by brain magnetic resonance imaging (MRI). Her PRES-associated clinical symptoms and MRI abnormalities were improved following anti-hypertensive treatment with calcium channel blocker. A kidney biopsy revealed diffuse proliferative glomerulonephritis with a full-house immunofluorescence pattern and fibrinoid necrosis in small blood vessels, suggesting a class IV-G (A) lupus nephritis with vasculitis. The immunosuppressive therapy with intravenous methylprednisolone pulse followed by oral prednisolone, mycophenolate mofetil, and intravenous belimumab, attenuated SLE-associated clinical manifestations including butterfly rush, edema, renal dysfunction, and proteinuria. Our case highlights the need to consider PRES as an initial clinical presentation of lupus nephritis and provide the early diagnosis and timely treatment to achieve a favorable outcome.
Fracture evolution in steel fiber reinforced concrete (SFRC) of tunnel under static and dynamic loading based on DEM-FDM coupling model
Authors: Chen Yu , Yu Dongfeng , Wang Yixian , Zhao Yanlin , Lin Hang , Meng Jingjing , Wu Haoliang 
Published: February 2025

Abstract
The frequent or occasional impact loads pose serious threats to the service safety of conventional concrete structures in tunnel. In this paper, a novel three-dimensional mesoscopic model of steel fiber reinforced concrete (SFRC) is constructed by discrete element method. The model encompasses the concrete matrix, aggregate, interfacial transition zone and steel fibers, taking into account the random shape of the coarse aggregate and the stochastic distribution of steel fibers. It captures microscopic-level interactions among the coarse aggregate, steel fibers, and matrix. Subsequently, a comprehensive procedure is formulated to calibrate the microscopic parameters required by the model, and the reliability of the model is verified by comparing with the experimental results. Furthermore, a coupled finite difference method-discrete element method approach is used to construct the model of the split Hopkinson pressure bar. Compression tests are simulated on SFRC specimens with varying steel fiber contents under static and dynamic loading conditions. Finally, based on the advantages of DEM analysis at the mesoscopic level, this study analyzed mechanisms of enhancement and crack arrest in SFRC. It shed a light on the perspectives of interface failure process, microcrack propagation, contact force field evolution and energy analysis, offering valuable insights for related mining engineering applications.
The effect of the intermediate principal stress on pillar strength
Authors: Maina Duncan , Konietzky Heinz 
Published: February 2025

Abstract
Room and pillar mining is an underground mining method that utilizes natural pillar support to control rock mass behavior, ensuring mine stability and a safe mine environment. This study specifically documents the influence of the intermediate principal stress component on the pillar behavior. So far only classical failure criteria ignoring the influence of the intermediate principal stress component were used for underground pillar design. By using an extended Hoek–Brown failure criterion in comparison with the classical Hoek–Brown failure criterion, the influence of the intermediate principal stress component is documented by indicating those areas where the failure criterion is violated. This study demonstrates, that depending on the rock type, the intermediate principal stress component can have a significant effect. Ignoring this influence can lead to uneconomic pillar design and incorrect determination of the factor of safety.
An Empathy Training for Sensitizing Adolescents for Cyberbullying on Social Media: A Cross-National Study
Authors: Börsting Johanna , Schwarze Veronica , Theophilou Emily , Sánchez-Reina J. Roberto , Odakura Valguima , Taibi Davide , Scifo Lidia , Fulantelli Giovanni , Hernández-Leo Davinia , Eimler Sabrina C. 
Published: February 2025

Abstract
Young people worldwide use social media. Besides the benefits, such as communication, entertainment, or social support, users also have to deal with negative incidents, such as cyberbullying and its serious consequences. One key factor in mitigating cyberbullying is empathy. Therefore, we developed an empathy training for adolescents, which is led by a virtual learning companion in a social media-like environment and includes direct conversations between the user and the virtual learning companion as well as a video explicating the concept of empathy. This empathy training shall contribute to decreasing users’ bullying intentions and increasing their empathy. Since previous research shows that social media use and cyberbullying are linked to country-specific factors, we evaluated the empathy training in a cross-national experimental study with N = 332 participants from Brazil, Germany, Italy, and Spain. Data were collected via surveys during workshops in schools. Among others, participants answered questions regarding their cyberbullying intentions, levels of cognitive and affective empathy, intentions to help a victim of cyberbullying, and perceived support of the measure. Results show neither decreased bullying intentions nor increased empathy after empathy training. However, cross-national differences were found. Participants’ intentions to bully were significantly higher in Spain and Brazil than in Germany. Furthermore, in the current study, cognitive and affective empathy was significantly higher in the Italian sample than in the German sample. Possibilities for improving the empathy training and the role of cross-national differences are discussed.