bluuebunny/crossref_metadata_2025_split huggingface dataset:
Frequency of central sensitization and nociplastic pain in patients with plantar fasciitis
Authors: Demir Karakılıç Gülseren , Melek Aykut Selçuk Melek , Öztürk Erhan Arif 
Published: February 2025

Abstract

Purpose
If the pain persists for a long time in the treatment of plantar fasciitis (PF) or if there is no response to treatment, central sensitization (CS) may develop and the pain may transform into nociplastic pain (NP). This study aimed to evaluate the frequency of CS and NP in patients with PF.

Methods
This cross-sectional study was undertaken between November 2023 and March 2024. The Foot Function Index (FFI) scale, which evaluates the foot’s functionality, was applied to the patient group. The Visual Analog Scale (VAS), which evaluates pain intensity; the Pain-DETECT scale, which evaluates NP; and the Central Sensitization Scale (CSI), which evaluates CS, were applied to patient and control groups.

Results
A total of 206 people were included in the study; 106 were in the patient group with PF, and 100 constituted the control group. While we detected NP in 67 (63.2%) patients according to Pain-DETECT and CS was detected in 91 (85.8%) patients according to CSI among 106 patients with chronic PF; we detected NP in seven (7%) patients according to Pain-DETECT and CS in 44 (44.0%) patients according to CSI among 100 control patients. VAS-score and FFI-pain are moderately and positively correlated with pain-DETECT scores and fairly and positively correlated with CSI scores in the PF group. The pain-DETECT score is moderately and positively correlated with the CSI score in the two groups.

Conclusions
This is the first study to evaluate the presence of CS and NP in PF patients. We found NP and CS to be common in patients with chronic PF. Effective pain management in patients with PF before it becomes chronic can prevent the development of CS and NP.
Examining neuroanatomical correlates of win-stay, lose-shift behaviour
Authors: Westerman Matt , Hallam Glyn , Kafkas Alex , Brown Holly D. H. , Retzler Chris 
Published: February 2025

Abstract
This study aimed to better understand the neuroanatomical correlates of decision-making strategies, particularly focusing on win-stay and lose-shift behaviours, using voxel-based morphometry (VBM) in a large cohort of healthy adults. Participants completed a forced-choice card-guessing task designed to elicit behavioural responses to rewards and losses. Using this task, we investigated the relationship between win-stay and lose-shift behaviour and both grey matter volume (GMV) and white matter volume (WMV). The frequency of win-stay and lose-shift behaviours was calculated for each participant and entered into VBM analyses alongside GMV and WMV measures. Our results revealed that increased lose-shift behaviour was associated with reduced GMV in key brain regions, comprising of the left superior temporal gyrus, right middle temporal gyrus, and the bilateral superior lateral occipital cortices. Interestingly, no significant associations were found between GMV or WMV, and win-stay behaviour. These results suggest that specific regions within the temporal and occipital lobes may be involved in modulating decision-making strategies following negative outcomes. Further analyses revealed that increased lose-shift behaviour was also associated with increased WMV in the left superior temporal gyrus. The absence of significant findings in relation to win-stay behaviour and the differential involvement of brain structures in lose-shift responses indicate that decision-making in the face of losses may involve distinct neuroanatomical mechanisms compared to decision-making following wins. This study advances our understanding of the structural brain correlates linked to decision-making strategies and highlights the complexity of brain-behaviour relationships in choice behaviour.
Long-term precursors to large explosive eruptions of Vesuvius: evidence from the opening phase of the Avellino Plinian eruption
Authors: Falasconi Alessia , Petrone Chiara Maria , Sulpizio Roberto , Cioni Raffaello 
Published: February 2025

Abstract
The onset of a large explosive volcanic eruption is generally characterised by a weak transient activity. The products of this opening phase(s) are confined to thin proximal beds of small volume and limited dispersal. The juvenile material erupted in the opening phase provides a unique record of pre- and syn-eruptive processes and preserves key information on eruption triggering and dynamics during magma ascent. The study of these products can provide insights into precursory phenomena and assumes a key role for the interpretation of monitoring signals at high-risk volcanoes. In this work, we present a detailed study of the products from the opening phase of the Avellino Plinian eruption of Somma-Vesuvius (Italy), well preserved in proximal deposits as two sub-units of thin pumice lapilli fallout overlain by a fine ash bed. These deposits show textural and compositional variability of the juvenile material, depicting a complex process of magma extraction at the onset of the eruption. Geochemical, textural, and geobarometric data reveal the presence of a magma body at shallow depth that cooled and partially crystallised under different conditions compared to the main, deeper, and larger magma reservoir feeding the paroxysmal phases of the eruption. Elemental diffusion chronometry on clinopyroxene from juvenile material suggests that magma movement toward the shallow reservoir anticipated the eruption by a maximum of a hundred years, while the arrival of a last mafic input into the shallow magma body can be confined to only a few years before the eruption.
Bakry–Émery, Hardy, and spectral gap estimates on manifolds with conical singularities
Authors: Sturm Karl-Theodor 
Published: February 2025

Abstract
We study spectral properties and geometric functional inequalities on Riemannian manifolds of dimension

$$\ge 3$$

≥
3

with singularities. Of particular interest will be manifolds with (finite or countably many) conical singularities

$$\{z_i\}_{i\in {\mathfrak {I}}}$$

{

z
i

}

i
∈
I

in the neighborhood of which the largest lower bound for the Ricci curvature is

$$\begin{aligned} k(x)\simeq K_i-\frac{s_i}{d^2(z_i,x)}. \end{aligned}$$

k

(
x
)

≃

K
i

-

s
i

d
2

(

z
i

,
x
)

.

Thus none of the existing Bakry–Émery inequalities or curvature-dimension conditions apply. In particular, k does not belong to the Kato (or extended Kato) class, and (M, g) is not tamed in the sense of Erbar et al. (J Math Pures Appl 161: 1–69, 2022). Manifolds with such a singular Ricci bound (1) appear quite naturally. The prime examples are

metric cones, for instance,

$$M={{\mathbb {R}}}_+\times _r N$$

M
=

R
+

×
r

N

with any

$$(N,g^N)$$

(
N
,

g
N

)

satisfying

$$\inf _{y\in N}\textrm{Ric}_y^N<(n-2)g^N$$

inf

y
∈
N

Ric
y
N

<

(
n
-
2
)

g
N

, e.g. spheres

$$N={{\mathbb {S}}}^{n-1}_R$$

N
=

S

R

n
-
1

with radius

$$R>1$$

R
>
1

.

For manifolds with such conical singularities we will prove

a version of the Bakry–Émery inequality

a novel Hardy inequality

a spectral gap estimate.

Related examples are provided by

weighted spaces, e.g.

$$M={{\mathbb {R}}}^n$$

M
=

R

n

with

$$g=g^{Euclid}$$

g
=

g

Euclid

and

$$m(dx)=|x|^\alpha d{\mathfrak {L}}^n(x)$$

m

(
d
x
)

=

|
x
|

α

d

L

n

(
x
)

for some

$$\alpha \in {{\mathbb {R}}}$$

α
∈
R

where the largest lower bound for Bakry–Émery Ricci tensor is given by

$$ k(x)=-\frac{|\alpha |}{|x|^2}$$

k

(
x
)

=
-

|
α
|

|
x
|

2

, and

Grushin-type spaces

$$M={{\mathbb {R}}}^j \times _f {{\mathbb {R}}}^{n-j}$$

M
=

R

j

×
f

R

n
-
j

with

$$f(y)=|y|^{-\alpha }$$

f

(
y
)

=

|
y
|

-
α

for suitable

$$\alpha >0$$

α
>
0

, either with Riemannian volume measure or with Lebesgue measure, which admit lower Ricci bounds of the form

$$k(y,z)=-\frac{C}{|y|^2}$$

k

(
y
,
z
)

=
-

C

|
y
|

2

.
Fouling process of hemodiafiltration membranes by hemodialysis and hemodiafiltration therapy
Authors: Tange Yoshihiro , Kawakami Masashi , Takesawa Shingo 
Published: February 2025

Abstract
During hemodialysis, proteins, such as albumin and globulin, are deposited on the dialysis membrane surface, causing fouling that affects solute removal and biocompatibility. This study aimed to measure the filtration coefficient as an index of dialysis membrane conditions in hemodialysis, pre-dilution online hemodiafiltration, and intermittent infusion hemodiafiltration modes using two different hemodiafiltration membranes ex vivo. The filtration coefficients of hemodiafiltration membranes in hemodialysis, pre-dilution online hemodiafiltration, and intermittent infusion hemodiafiltration modes were continuously measured for 123 min using 2 L bovine blood, which was adjusted with 32% hematocrit and 6.5 g/dL of total proteins. Polysulfone and cellulose triacetate were used as test membrane materials, and both membrane structures were asymmetric. The first fouling step was observed 20 s after filtration of both polysulfone and cellulose triacetate membranes in each mode. Thereafter, the filtration coefficient recovered in the pre-dilution online hemodiafiltration mode. However, it plateaued in the cellulose triacetate membrane and decreased in the polysulfone membrane. A flushing effect of the intermittent infusion hemodiafiltration mode was observed in both the cellulose triacetate and polysulfone membranes. The differences in fouling steps in each of the three modes—hemodialysis, pre-dilution online hemodiafiltration, and intermittent infusion hemodiafiltration—can be identified by continuously measuring filtration coefficient values.
Astrocytomas IDH-mutant of posterior cranial fossa, clinical presentation, imaging features and onco-functional balance in surgical management
Authors: De Simone Matteo , Choucha Anis , Ranalli Carlotta , Pecoraro Giuseppina , Appay Romain , Chinot Oliver L. , Dufour Henry , Iaconetta Giorgio 
Published: February 2025

Abstract
IDH-mutant astrocytomas (AIDHmut) in the posterior cranial fossa (PCF) are rare and present substantial diagnostic and therapeutic challenges due to their location. We analyzed patients with PCF AIDHmut from our institutions, treated between December 2021 and September 2024. Additionally, we conducted a systematic literature review (from January 2021 to September 2024) using PubMed, Ovid MEDLINE, and Ovid EMBASE to identify cases of PCF AIDHmut. We identified a total of 19 cases, including one institutional case. Most patients were young adults, with a male predominance (15 males, 4 females). Tumors primarily originated from the brainstem (94.7%), with only one case involving the cerebellum. Clinical presentations frequently included cranial nerve deficits, with diplopia being the most common symptom (47.4%). Adjuvant radiotherapy (IMRT, DT 54 Gy/27 fractions, 78.9%) and chemotherapy (temozolomide, 68.4%) formed the mainstays of treatment. Tumor grading revealed 63.2% (12/19) were WHO grade 2, 21% (4/19) were WHO grade 3, and 15.8% (3/19) were grade 4. The mean follow-up period was 45 months. PCF AIDHmut are rare but pose significant treatment challenges due to their location and infiltrative nature. Multimodal treatment—comprising surgery, radiotherapy, and chemotherapy—is essential for achieving long-term disease control. Subtotal resection followed by adjuvant therapies provides a favorable balance between tumor control and functional preservation.
Fair credit? The impact of shared first authorship on academic career evaluation
Authors: Decius Julian , Schilbach Miriam 
Published: February 2025

Abstract
Shared first authorship (Shau) has become common practice across research disciplines. However, it remains unclear whether Shau affects attributed academic career success. We investigate the relevance of author order with a specific focus on Shau in the context of an academic selection process. Specifically, we conducted an experimental vignette study among one hundred seventy-seven academics and invited participants to evaluate the CV of a fictitious applicant. We manipulated the peer-reviewed publication section of the CV where the applicant was either the sole first author, second author, had Shau and was listed first, or had Shau and was listed second. Using seven criteria of academic career evaluation (e.g., attributed competence), results of MANOVA showed that first and Shau authors were similarly evaluated. Contrary to concerns that Shau could dilute the credit attributed to the first-named author, our findings indicate that both the first and second named Shau authors receive full credit without disadvantaging each other’s attribution of success. Overall, we found no negative but even positive effects of Shau on attributed career success. We further discuss the practice and (mis)use of Shau itself as well as the need to evaluate applicants for academic positions holistically, going beyond the number of (shared) first authorships.
Ensembling approaches to citation function classification and important citation screening
Authors: Jiang Xiaorui 
Published: February 2025

Abstract
Compared to feature engineering, deep learning approaches for citation context analysis have yet fully leveraged the myriad of design options for modeling in-text citation, citation sentence, and citation context. In fact, no single modeling option universally excels on all citation function classes or annotation schemes, which implies the untapped potential for synergizing diverse modeling approaches to further elevate the performance of citation context analysis. Motivated by this insight, the current paper undertook a systematic exploration of ensemble methods for citation context analysis. To achieve a better diverse set of base classifiers, I delved into three sources of classifier diversity, incorporated five diversity measures, and introduced two novel diversity re-ranking methods. Then, I conducted a comprehensive examination of both voting and stacking approaches for constructing classifier ensembles. I also proposed a novel weighting method that considers each individual classifier’s performance, resulting in superior voting outcomes. While being simple, voting approaches faced significant challenges in determining the optimal number of base classifiers for combination. Several strategies have been proposed to address this limitation, including meta-classification on base classifiers and utilising deeper ensemble architectures. The latter involved hierarchical voting on a filtered set of meta-classifiers and stacked meta-classification. All proposed methods demonstrate state-of-the-art results on, with the best performances achieving more than 5 and 4% improvements on the 11-class and 6-class schemes of citation function classification and by 3% on important citation screening. The promising empirical results validated the potential of the proposed ensembling approaches for citation context analysis.
Estimation of pulse wave analysis indices from invasive arterial blood pressure only for a clinical assessment of wave reflection in a 5-day septic animal experiment
Authors: Guberti Diletta , Ferrario Manuela , Carrara Marta 
Published: February 2025

Abstract
Wave separation analysis (WSA) is the gold standard to analyze the arterial blood pressure (ABP) waveform, decomposing it into a forward and a reflected wave. It requires ABP and arterial blood flow (ABF) measurement, and ABF is often unavailable in clinical settings. Therefore, methods to estimate ABF from ABP have been proposed, but they are not investigated in critical conditions. In this work, an autoregressive with exogenous input model was proposed as an original method to estimate ABF from the measured ABP. Its performance in assessing WSA indices to characterize the arterial tree was evaluated in critical conditions, i.e., during sepsis. The triangular and the personalized flow approximation and the multi-Gaussian ABP decomposition were compared to the proposed model. The results highlighted how the black-box modeling approach is superior to other flow estimation models when computing WSA indices in septic condition. This approach holds promise for overcoming challenges in clinical settings where ABF data are unavailable.

Graphical abstract
Gender, emotion regulation, and cognitive flexibility as predictors of depression, anxiety, and affect in healthy adults
Authors: García-Fernández Marta , Fuentes-Sánchez Nieves , Escrig Miguel A. , Eerola Tuomas , Pastor M. Carmen 
Published: February 2025

Abstract
Anxiety and depressive disorders are among the most prevalent mental health conditions. Consequently, identifying the factors that contribute to their development and maintenance has been a longstanding focus of interest within the scientific community. Gender differences, cognitive flexibility, and emotion regulation strategies have all been considered influential in the development of these disorders, but few works have analyzed these variables simultaneously. Our study aimed to investigate the influence of gender, cognitive flexibility and emotion regulation strategies on anxiety and depressive symptoms, as well as on positive and negative affect. Results showed that both men and women exhibited similar levels of depression and affect. However, men tended to suppress their emotions more and were more likely to place blame on themselves and others, whereas women showed a greater tendency to ruminate and reported higher perceptions of alternatives. Additionally, women exhibited higher levels of anxiety. When multiple regression analyses were performed, only emotion regulation strategies and cognitive flexibility emerged as predictors of depression, anxiety and affect. These findings suggest that gender differences in these variables may stem not only from the selection of emotion regulation strategies but also from how men and women perceive situations through cognitive flexibility. This raises the question of whether gender differences in emotional processing are primarily related to the selection of emotion regulation strategies.
Integration of convolutional neural networks with parcel-based image analysis for crop type mapping from time-series images
Authors: Altun Muslum , Turker Mustafa 
Published: February 2025

Abstract
Timely and accurate crop mapping is crucial for yield prediction, food security assessment and agricultural management. Convolutional neural networks (CNNs) have become powerful state-of-the-art methods in many fields, including crop type detection from satellite imagery. However, existing CNNs generally have large number of layers and filters that increase the computational cost and the number of parameters to be learned, which may not be convenient for the processing of time-series images. To that end, we propose a light CNN model in combination with parcel-based image analysis for crop classification from time-series images. The model was applied on two areas (Manisa and Kırklareli) in Türkiye using Sentinel-2 data. Classification results based on all bands of the time-series data had overall accuracies (OA) of 89.3% and 88.3%, respectively for Manisa and Kırklareli. The results based on the optimal bands selected through the Support Vector Machine–Recursive Feature Elimination (SVM-RFE) method had OA of 86.6% and 86.5%, respectively. The proposed model outperformed the VGG-16, ResNet-50, and U-Net models used for comparison. For Manisa and Kırklareli respectively, VGG-16 achieved OA of 86.0% and 86.5%, ResNet-50 achieved OA of 84.1% and 84.8%, and U-Net achieved OA of 82.2% and 81.9% based on all bands. Based on the optimal bands, VGG-16 achieved OA of 84.2% and 84.7%, ResNet-50 achieved OA of 82.4% and 83.1%, and U-Net achieved OA of 80.5% and 80.2%. The results suggest that the proposed model is promising for accurate and cost-effective crop classification from Sentinel-2 time-series imagery.
Comparative analysis of groundwater potential assessment in Dharmapuri District, Tamil Nadu, India
Authors: Babu Prabu , Maury Saurabh Chandra 
Published: February 2025

Abstract
Population growth has significantly affected groundwater resources globally. Groundwater is essential for agriculture and human consumption. Considering these issues, we focused on the Dharmapuri District, Tamil Nadu, India. In the study area, 70

$$\%$$

%

of the population depend on agriculture, necessitating assessing groundwater potential zone. Thematic layers such as geology, geomorphology, drainage density, lineament density, slope, soil, land use and land cover, recharge, distance from river, elevation, topographic wetness index and normalized difference vegetation index have been created using ArcGIS. The study aims to assess groundwater potential zones (GWPZ) using enhanced trapezoidal fuzzy number in analytical hierarchy process (ETFAHP) and analytical hierarchy process (AHP) methods with help of ArcGIS. Thematic layer(parameters) weights are calculated using AHP and ETFAHP methods. Notably, previous studies have not used trapezoidal fuzzy numbers in GWPZ. A trapezoidal fuzzy number in AHP method is used to assess GWPZ. The groundwater potential zone is classified as very poor, poor, moderate, fair and very good. The AHP and ETFAHP on groundwater potential index (GWPI) are validated with depth to water level. In this study, AHP on GWPZ showed very poor (15.00%), poor (27.85%), moderate (26.54%), fair (19.80%) and very good (10.81%). Similarly, ETFAHP on GWPZ showed very poor (17.63%), poor (27.58%), moderate (22.77%), fair (21.48%) and very good (10.54%). The area under the curve (AUC) values for AHP and ETFAHP on groundwater potential zones are 0.88 and 0.91, respectively. The AUC value of 0.91 indicates best prediction accuracy in the study area.
Hand hygiene opportunities in neonatal intensive care: a multicenter observational study to calibrate group electronic monitoring systems
Authors: Lee Eugene , Clark Stacey , Reason Paige , Khan Sarah , Fan Sabrina , Li Michelle , Cen Alex , Rolnitsky Asaph , Kiss Alexander , Mertz Dominik , Leis Jerome A. 
Published: February 2025

Abstract
Observers were randomized to time and location across two different Neonatal Intensive Care Units (NICUs) to count hand hygiene opportunities (HHOs). Mean hourly HHO was lower at night and during use of precautions, and higher in shared rooms. HHO benchmarks can support implementation of group electronic monitoring systems in NICUs.
Synthetic gene circuits in plants: recent advances and challenges
Authors: Khan Adil , Lister Ryan 
Published: February 2025

Abstract
Plant synthetic biology is a rapidly advancing multidisciplinary research area that applies engineering principles to design, construct, and implement new plant capabilities at the molecular, cellular, and whole organism scales. Synthetic gene circuits are important tools for enabling increased customizability in the control of gene expression in plants, with widespread applications spanning new approaches for basic biology to introduction of new traits for advancing agriculture. In this review, we first aimed to provide a comprehensive understanding of synthetic circuits. Next, we discuss recent progress in the construction of advanced synthetic gene circuits in plants for programmable control of gene expression. Finally, we discuss the current challenges associated with developing and applying effective circuits while also highlighting future prospects and research directions, including quantitative measurement, high-throughput testing, and circuit modelling.