bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recurrences and Subsequent Treatments After Curative-Intent Surgery for Localised and Locally Advanced Renal Cell Carcinoma
Authors: Petersson Rasmus Due , Niebuhr Malene H. , Jensen Christian Fuglesang S. , Azawi Nessn H. , Thomsen Frederik F. 
Published: November 2024

Abstract
Background
There is a lack of evidence concerning recurrent patterns and treatment of repeat recurrences for surgically treated renal cell carcinoma (RCC). Thus, the objective was to describe patterns of recurrences and subsequent treatments in patients with recurrent RCC.

Patients and Methods
We identified 525 patients who received surgical treatment for RCC at our institution in 2010–2015. The treatment of recurrences was classified as no active treatment, treatment with the aim to achieve no evidence of disease (NED) or systemic oncological treatment (OT). Relationships were analysed using multivariable Cox regression and log-rank analysis.

Results
The median follow-up was 7.8 [interquartile range (IQR 6.5–9.4)] years. Ninety-one patients experienced a first recurrence, of which 49 received NED-aimed treatment—47 of these patients had their recurrence more than 2 years after surgery. Thirty patients experienced a second recurrence with 17 patients undergoing NED-aimed treatment. Eight patients had a third recurrence with four undergoing NED-aimed treatment. The most common locations of recurrence were pulmonary, local or multiple sites—30% and 38% of patients experienced a second or third recurrence in the same location, respectively. The 3-year overall survival estimates for patients receiving NED-aimed treatment for their first recurrence were 83.1% [95% confidence interval (CI) 72.3–93.8%] and 79.3% (95% CI 58.4–100%) for patients receiving NED following a second recurrence.

Conclusions
Treatments aimed at achieving NED seem to provide good oncological control and in repeat recurrences, 50% or more were managed with repeat NED-aimed treatments.
Coherent control in quartz-enhanced photoacoustics: fingerprinting a trace gas at ppm-level within seconds
Authors: Angstenberger Simon , Floess Moritz , Schmid Luca , Ruchka Pavel , Steinle Tobias , Giessen Harald 
Published: November 2024

Quartz-enhanced photoacoustic spectroscopy (QEPAS) has become a
versatile tool for detection of trace gases at extremely low
concentrations, leveraging the high quality (Q)-factor of quartz
tuning forks. However, this high Q-factor imposes an intrinsic
spectral resolution limit for fast wavelength sweeping with tunable
laser sources due to the long ringing time of the tuning fork. Here,
we introduce a technique to coherently control and damp the tuning
fork by phase-shifting the modulation sequences of the driving laser.
Particularly, we send additional laser pulses into the photoacoustic
cell with a timing that corresponds to a π phase shift with respect to the
tuning fork oscillation, effectively stopping its oscillatory motion.
This enables acquisition of a complete methane spectrum spanning
3050–3450 nm in just three seconds, preserving the spectral
shape. Our measured data is in good agreement with the theoretically
expected spectra from the HITRAN database when convolved with the
laser linewidth of . This will leverage the use of QEPAS
with fast-sweeping OPOs in real-world gas sensing applications beyond
laboratory environments with extremely fast acquisition speed enabled
by our coherent control scheme.
Survival benefit of adjuvant therapy following neoadjuvant therapy in patients with resected esophageal cancer: A retrospective cohort study
Authors: Jia Weiyi , Li Chao , Liu Can , Hu Renwang 
Published: November 2024

Background
There is controversy about the benefit of administering adjuvant therapy to esophageal cancer (EC) patients after preoperative neoadjuvant therapy and surgical treatment. This study aims to investigate the clinical benefit of postoperative adjuvant therapy in EC patients with neoadjuvant therapy and surgery.

Materials and methods
The study included EC patients diagnosed from 2007 to 2020 in the Surveillance, Epidemiology, and End Results (SEER) database. Patients who received neoadjuvant therapy (NCRT) were defined as those who underwent neoadjuvant chemotherapy or neoadjuvant radiotherapy before surgery, while patients who received adjuvant therapy (ACRT) were defined as those who underwent adjuvant chemotherapy or adjuvant radiotherapy after surgery. Propensity score matching (PSM) method was employed to establish matched cohorts, and Kaplan-Meier analysis, COX regression model, and Fine-Gray model were used for survival analysis.

Results
The study included a total of 5805 EC patients, with 837 (14.4%) in the ACRT group and 4968 (85.4%) in the no-ACRT group. After PSM, a cohort of 1660 patients who received NCRT was enrolled for analysis, with 830 patients in each group. Kaplan-Meier analysis revealed no significant differences between the two groups in terms of median overall survival (OS) (34.0 vs. 36.0 months, p = 0.89) or cancer-specific survival (CSS) (40.0 vs. 49.0 months, p = 0.16). Multivariate Cox models and Fine-Gray models indicated that ACRT was not a predictive factor for OS or CSS (p > 0.05). Subgroup analysis for CSS suggested a protective effect of ACRT in the N2 (Cox model: HR = 0.640, p = 0.090; Fine-Gray model: HR = 0.636, p = 0.081) and the N3 subgroup (Cox model: HR = 0.302, p = 0.018; Fine-Gray model: HR = 0.306, p = 0.034).

Conclusions
Only for esophageal cancer patients with a more advanced N stage, postoperative adjuvant therapy after completing neoadjuvant therapy and curative surgical treatment may be beneficial.
Carotid intima-media thickness and risk of atherosclerosis in multiple sclerosis: A cross-sectional study
Authors: Najmi Elyar Alizadeh , Mirzaasgari Zahra , Motamed Mohammad Reza , Aslani Armin 
Published: November 2024

Background
Multiple sclerosis (MS) is characterized by inflammation and demyelination in the central nervous system. Recent studies have suggested a potential association between MS and an increased risk of atherosclerosis, a systemic vascular disease involving arterial wall thickening. Understanding this relationship is crucial, given the heightened cardiovascular risk observed in MS patients.

Objective
To investigate factors influencing the development of atherosclerosis in patients with multiple sclerosis (pwMS), focusing on carotid intima-media thickness (CIMT) as a marker.

Methods
114 pwMS (82 females and 32 males) and 127 control subjects (57 females and 70 males) were included. The mean CIMT between the two groups was compared. Additionally, the effects of annual relapse rate, EDSS (Expanded Disability Status Scale), MS duration, treatment duration, and type of Disease-modifying treatment (DMT) on CIMT were evaluated.

Results
This study included 241 participants with a mean (SD) age of 41.13 years (10.93). CIMT was significantly higher in pwMS compared to controls (p < 0.001). Even after adjusting for age, sex, and BMI (Body Mass Index), CIMT remained significantly higher in the pwMS group (p < 0.001). Spearman’s correlation analysis revealed significant associations between CIMT and age, BMI, EDSS score, and disease duration (all p < 0.05). Additionally, the SPMS (Secondary Progressive Multiple Sclerosis) disease course was significantly associated with higher CIMT (p < 0.001). Linear regression analysis identified age as the most significant predictor of increased CIMT in pwMS (p < 0.001), followed by BMI (p = 0.054).

Conclusion
This study demonstrates a significant association between MS and increased CIMT. Additionally, age emerged as the most prominent predictor of high CIMT in pwMS, followed by BMI. These findings suggest a potential link between MS and increased cardiovascular risk. Further research is warranted to explore the underlying mechanisms and investigate the long-term cardiovascular outcomes in this population.
The Lure of the Social: Encounters with Contemporary Artists, Gretchen Coombs (2021)
Authors: Whelan Fiona 
Published: November 2024

Review of: The Lure of the Social: Encounters with Contemporary Artists, Gretchen Coombs (2021)
Bristol: Intellect, 200 pp.,
ISBN 978-1-78938-322-5, p/bk, GBP 34.00
The weak Harnack inequality for unbounded minimizers of elliptic functionals with generalized Orlicz growth
Authors: Ciani Simone , Henriques Eurica , Skrypnik Igor I. 
Published: November 2024

Abstract
In this work we prove that the non-negative functions

u
∈

L
loc
s

⁢

(
Ω
)

{u\in L^{s}_{\rm loc}(\Omega)}

, for some

s
>
0

{s>0}

, belonging to the De Giorgi classes

⨍

B

r
⁢

(

1
-
σ

)

⁢

(

x
0

)

|
∇

(
u
-
k
)

-

|
p

d
x
⩽

c

σ
q

Λ

(

x
0

,
r
,
k
)

(

k
r

)

p

(

|

B
r

(

x
0

)

∩

{
u
⩽
k
}

|

|

B
r

⁢

(

x
0

)

|

)

1
-
δ

,

\barint_{B_{r(1-\sigma)}(x_{0})}|\nabla(u-k)_{-}|^{p}\,dx\leqslant\frac{c}{%
\sigma^{q}}\,\Lambda(x_{0},r,k)\bigg{(}\frac{k}{r}\bigg{)}^{p}\bigg{(}\frac{|B%
_{r}(x_{0})\cap\{u\leqslant k\}|}{|B_{r}(x_{0})|}\bigg{)}^{1-\delta},

under proper assumptions on Λ, satisfy a weak Harnack inequality with a constant depending on the

L
s

{L^{s}}

-norm of u. Under suitable assumptions on Λ, the minimizers of elliptic functionals with generalized Orlicz growth belong to De Giorgi classes satisfying the above condition; thus this study gives a wider interpretation of Harnack-type estimates derived to double-phase, degenerate double-phase functionals and functionals with variable exponents.
Zaremba problem with degenerate weights
Authors: Balci Anna Kh. , Lee Ho-Sik 
Published: November 2024

Abstract
We present new regularity result in the study of elliptic equations with mixed boundary conditions. We obtain small higher integrability of the gradient (Meyers property). The result is new for both linear and nonlinear equations with degenerate coefficients with a new sharp Maz’ya-type capacity condition on the part with Dirichlet boundary condition, while prior research was limited to uniformly elliptic weights.
Transformer learning-based neural network algorithms for identification and detection of electronic bullying in social media
Authors: Alsaade Fawaz Waselallah , Alzahrani Mohammed Saeed 
Published: November 2024

Abstract
The global phenomenon known as cyberbullying is a form of modern harassment that cannot be entirely stopped but can be avoided. Most current solutions to the cyberbullying problem have relied on tools and methods to identify online bullying. However, end users do not have free access to these tools. The goal of this study is to create a model to combat cyberbullying on social media sites based on users’ appearance. In this article, we present a cyberbullying detection system constructed using the Word2Vec word-embedding method and a deep learning convolutional neural network combined with bidirectional long short-term memory (CNN-BiLSTM), as well as the XLM-Roberta transformer, to develop a model for cyberbullying detection. We carried out two experiments based on binary (hate speech or non-hate speech bullying comments) and multiclass (religion, age, gender, ethnicity, and non-bullying tweets) datasets collected from Kaggle online discussions and Twitter. To evaluate the model’s performance, we used standard measurement metrics, such as precision, recall, F1-score, and accuracy. Through a comparison of the results, it is noted that the XLM-Roberta model outperformed the CNN-BiLSTM model, resulting in 84% accuracy using the Kaggle online discussion dataset and 94% accuracy using the Twitter dataset.
Nilpotent perturbations of m-isometric and m-symmetric tensor products of commuting d-tuples of operators
Authors: Duggal Bhagwati Prashad , Kim In Hyoun 
Published: November 2024

Abstract
If

T

1

{{\mathbb{T}}}_{1}

and

T

2

{{\mathbb{T}}}_{2}

are commuting

d

d

-tuples of Hilbert space operators in

B

(

ℋ

)

d

B{\left({\mathcal{ {\mathcal H} }})}^{d}

such that

(

T

1

*

⊗
I
+
I
⊗

T

2

*

,

T

1

⊗
I
+
I
⊗

T

2

)

\left({{\mathbb{T}}}_{1}^{* }\otimes I+I\otimes {{\mathbb{T}}}_{2}^{* },{{\mathbb{T}}}_{1}\otimes I+I\otimes {{\mathbb{T}}}_{2})

is strictly

m

m

-isometric (resp.,

m

m

-symmetric) for some positive integer

m

m

, then there exist a scalar

d

d

-tuple

λ

\lambda

and positive integers

m

i

{m}_{i}

,

1
≤
i
≤
2

1\le i\le 2

, such that

m
=

m

1

+
2

m

2

−
2

m={m}_{1}+2{m}_{2}-2

,

(

T

1

*

+

λ

¯

,

T

1

+
λ

)

\left({{\mathbb{T}}}_{1}^{* }+\overline{\lambda },{{\mathbb{T}}}_{1}+\lambda )

is

m

1

{m}_{1}

isometric, and

T

2

−
λ

{{\mathbb{T}}}_{2}-\lambda

is

m

2

{m}_{2}

-nilpotent (resp.,

m
=

m

1

+

m

2

−
1

m={m}_{1}+{m}_{2}-1

,

(

T

1

*

+

λ

¯

,

T

1

+
λ

)

\left({{\mathbb{T}}}_{1}^{* }+\overline{\lambda },{{\mathbb{T}}}_{1}+\lambda )

is

m

1

{m}_{1}

-symmetric and

(

T

2

*

−

λ

¯

,

T

2

−
λ

)

\left({{\mathbb{T}}}_{2}^{* }-\overline{\lambda },{{\mathbb{T}}}_{2}-\lambda )

is

m

2

{m}_{2}

symmetric).
Study of temperature dynamics and influencing factors during composting process
Authors: El Boudihi Hicham , Kifani-Sahban Fatima , Wahby Imane , Fihri Mohamed 
Published: November 2024

Abstract
This study investigated the most influential composting parameters (temperature, pH, humidity, C/N ratio, and CO2 emissions) on final compost quality. Composting bags (turned daily) containing prunings, lignocellulose material, cattle manure, and household organic waste were monitored for eight weeks across three batches. All the temperature data registered daily were statistically analyzed with one-way ANOVA to verify the consistency between batches. This study employs a first-order kinetic model to quantify the decomposition of organic matter in composting, revealing the influence of temperature on the decomposition rate. Principal component analysis was conducted for these factors and their interactions with respect to the final compost quality. Finished compost showed a significantly high nitrogen, phosphorus, and potassium content compared with that in the feedstock of the initial compost mixture, while there was constant organic carbon content. In addition to the control of key parameters, a linear regression analysis allowed us to identify the factors that most influenced temperature. We identified two key models: one including pH, humidity, C/N ratio, and CO2 emissions, and another focusing only on CO2. This study emphasized the importance of monitoring and controlling the crucial parameters of the composting process in order to obtain quality compost suitable for application in soil use. Moreover, high temperatures possibly attained in the process of aerobic decomposition destroy the pathogens, making the end products safer for uses in agriculture.
The Tenses of Historical Consciousness: The Impact of Memory Work Within the Colombian Education Community
Authors: Louis Tatjana , Saiz Mónika Contreras , Rinke Stefan 
Published: November 2024

Abstract
The confrontation with the recent past has been a central component of the Colombian transitional panorama for almost 20 years. Since the Colombian state recognized its duty of remembrance, the National Center for Historical Memory has published more than 100 reports that contribute to an understanding of the causes of the Colombian armed conflict and a recognition of the crimes against humanity that occurred in this context. These reports, however, are known only to a small group of experts. At the same time, the Colombian armed conflict is an experience shared by many and producing a multiplicity of different narratives, so it is unlikely that people lack knowledge about their past or have a stance towards it. In fact, the confrontation with the recent past is a topic that gives rise to bitter disputes. This study addresses the gap that exists between institutional and academic efforts, on the one hand, and collective and individual memories on the other. To gather information on the channels and methods of learning as well as the interpretations given to historical events, we carried out an exploration of historical consciousness of secondary students, understanding school as the place where formal and non-formal channels of knowledge transmission meet. To do this, we applied a digital questionnaire and conducted interviews with students and teachers from different regions of Colombia in order to answer the questions where the knowledge about the past comes from, what are the channels through which people learn about their past and turn it to a meaningful story and what is the overall meaning of the past and, specifically, the meaning of the armed conflict for people. Drawing inspiration from works that blend academic research with graphic storytelling, and driven by the belief that university-generated knowledge should reach broader audiences through engaging formats, we created the comic The Tenses of Historical Consciousness, which accompanies this article. This comic fictionalizes real situations, characters, and spaces to depict aspects of the research process and its findings.
Generalized piezothermoelastic interactions in a piezoelectric rod subjected to pulse heat flux
Authors: Alqahtani Zuhur , Abbas Ibrahim , El-Bary Alaa A. 
Published: November 2024

Abstract
This work investigates, using the Laplace transforms, the influence of thermal relaxation time in the piezo-thermoelastic rod under pulse heat flux. For the piezoelectric medium, the generalized piezothermoelastic fundamental equations are developed. The analytical solutions are expressed in the transformation domain using Laplace transforms. Laplace transforms are presented to solve the problem’s governing equations, removing the time impact and yielding analytical solutions for the temperature, electric field, displacement, and stresses in the Laplace domain. The time domain solutions of the variables under consideration are then found using numerical Laplace inversion and visually shown. The effects of the thermal time, pulse heating flux characteristic time, and constant heat flux are studied in a piezoelectric thermoelastic medium. The figures show that the thermal time, pulse heating flux characteristic time, and constant heat flux play significant roles in determining the values of all physical quantities.
Integrating lidar technology in artisanal and small-scale mining: A comparative study of iPad Pro LiDAR sensor and traditional surveying methods in Ecuador’s artisanal gold mine
Authors: Ordóñez Christian , Calvopiña Jhosimar , Toapanta Santiago , Carranco Andrés , González Josué 
Published: November 2024

Abstract
This research evaluates the use of the iPad Pro 11 with LiDAR sensor (LS) for geospatial surveying in Ecuador’s artisanal and small-scale mining (ASM) sector, a key contributor to the national economy; however, it is hindered by outdated equipment and environmental challenges. It was conducted at “La Zamorana,” an underground gold mine. The study compares the efficacy of iPad LS against traditional surveying methods across five phases, including control point establishment, traditional and LiDAR surveying, data postprocessing, and an electronic survey assessing ASM’s technological readiness. The findings indicate that the iPad LS outperforms traditional methods in detail and accuracy, particularly in elevation measurements, with most discrepancies under 5 cm. The precision of the LiDAR methodology is highlighted by the closer alignment of points to control points than traditional surveying methods. In summary, the iPad Pro 11 with LS shows promise as an affordable ASM tool for geospatial surveying in ASM in Ecuador. The research emphasizes how receptive the industry is to new technology developments. However, further research is recommended to explore the technology’s effectiveness in diverse mining environments, ensuring its comprehensive applicability in ASM.
The impact of delay on second-order evolution equations
Authors: Boumasmoud Soufiane , Ezzinbi Khalil 
Published: November 2024

Abstract
This article aims to exhibit new instability results on the effects of arbitrary delay on a class of second-order evolution equations involving in a Hilbert space. More precisely, we prove that arbitrary finite, large or small delay might remarkably destroy the stability of a well-behaved (stable) system, that is by driving the resulting system with delay to generate non-trivial periodic solutions with constant energy, solutions with exponential growth rate and solutions with blow-up energy. Also, an interesting new effect of large delay is constructively established. We further supply this study with applications and numerical simulations.
Überwachung von Prozesskurven
Authors: Lück Matthias , Hornung Tim , Riedel Oliver 
Published: November 2024

Abstract
In diesem Beitrag wird eine fünfstufige Methode zur relativen Überwachung von Prozesskurven im latenten Raum vorgestellt. Die Datenbasis bilden 7460 Prozesskurven aus einem industriellen End-of-Line-Test. Das dichtebasierte räumliche Clustering bildet den Kern der Methode und nutzt die Eigenschaft, dass sich der untersuchte Produktionsprozess, unter statistischer Kontrolle befindet. Zwei potenziell falsch-positive Teile wurden durch das Verfahren erkannt, eine zeitliche Drift der Prozessdaten sowie die klare Trennbarkeit von Gut- und Schlechtteilen sind aus dem Verfahren ersichtlich.
Thermische Modellbildung des schweißtechnischen Vorwärmens von Offshore-Stahlbaustrukturen
Authors: Herwerth Christian , Klaudt Anna-Maria , Dörge Andreas , Pfeifer Herbert 
Published: November 2024

Abstract
Vorgestellt wird in diesem Beitrag ein numerisches Modell inkl. experimenteller Kalibrierung zur thermischen Analyse von industriellen Wärmprozessen. Das Modell kann auf ähnliche Anwendungsfälle, Wärmtechnologien und Temperaturniveaus übertragen werden. Die Auswertung erfolgt durch Energiebilanzierung und zeigt, dass trotz signifikanter Abwärmeverluste ein guter Gesamtwirkungsgrad für atmosphärisch betriebene Thermoprozesse erzielt werden kann. Wärmeleitung, Konvektion und Strahlung spielen eine untergeordnete Rolle. Folgeschritte können die Übertragung des Modells oder die Optimierung des Wärmprozesses sein.
Konversion von relationalen Datenbanken in Ontologien
Authors: Brünnhäußer Jörg , Konietzko Erik Paul , Zwicker Florian 
Published: November 2024

Abstract
Daten gewinnen zunehmend an Bedeutung, sind insbesondere in den betrieblichen Kontexten allerdings oft schwer zugänglich, da sie in verschiedenen Formen vorliegen. Ontologien und semantische Netze bieten eine Lösung, indem sie Informationen aus verschiedenen Datenquellen zusammenführen, was den Aufbau einer unternehmensweiten Wissensdatenbank ermöglicht. Ontologien sind flexibel, erweiterbar und unterstützen maschinenlesbare Sprachen, wodurch sie effizient in bestehende Systeme integriert werden können. Dieser Beitrag beschreibt die automatische Umwandlung relationaler Datenbanken in Ontologien mittels eines entwickelten Programms, das auf bestehenden wissenschaftlichen Ansätzen basiert.
Bewertung der Komplexität von Konstruktionsaufgaben
Authors: Yinanc Kutay Can , Konkol Kathrin , Cencic Maiara Rosa 
Published: November 2024

Abstract
Moderne Ingenieurbüros stehen vor der Herausforderung, die Komplexität von Konstruktionsaufgaben richtig einzuschätzen. Eine universelle, CAD-unabhängige Design-Hochsprache (CAD-HLL) wurde entwickelt, um diese Komplexität zu bewerten. Dies ist entscheidend für die optimale Aufgaben-/Ressourcenzuweisung in Konstruktionsabteilungen sowie zur Unterstützung früher Designentscheidungen. Ein innovativer Ansatz im Rahmen des CAD-HLL-Konzepts nutzt maschinelles Lernen, um die Komplexität von mechanischen Bauteilen abzuschätzen. Das entwickelte Modell zeigt Potenzial zur Effizienzsteigerung und Minimierung von Missverständnissen in Designprozessen, was zukünftige industrielle Anwendungen optimieren könnte.