bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anti-stigma narratives and emotional comfort against health crisis: a context analysis of UGC short videos from patients with COVID-19 infections
Authors: Tan Lin , Wang Qing-yi , Zhang Qiu-ju 
Published: September 2023

AbstractPatients narratives are being recorded increasingly frequently and spontaneously in short user produced content (UGC) films, which may have an impact on the vlogger’s health as well as the public’s comprehension of the relevant health concerns. This paper addressed three research questions regarding the population characteristics of UGC video publishers, the narrative theme of the videos, and the emotional orientation of the commenters. This study aimed to deepen our understanding of COVID-19 patients’ narrative intentions and emotional needs through the theoretical frameworks of theory of planned behavior (TPB) and negative dominance theory (NDT). We collected 335 videos from 28 COVID-19 patients and 572,052 comments as samples on Douyin platform, the largest short-video website in China. Using Latent Semantic Analysis, we analyzed the descriptive information of the video blogs, the narrative textual information of the videos, and the emotional orientation of the comments. Our findings revealled seven categories of narrative themes, with 52.1% of video comments exhibiting a positive emotional orientation. Within a framework integrating TPB and NDT theories, we analyzed the behavioral intentions of vloggers and viewers during COVID-19 epidemic, and interpreted the persistent posting of videos and the active posting of comments as positive actions that counteracted the multiple effects of negative messages. This study contributes to the understanding of individual narratives in macro-risk communication, both theoretically and empirically, and offers policy recommendations in relevant fields.
Link prediction in complex network using information flow
Authors: Aziz Furqan , Slater Luke T. , Bravo-Merodio Laura , Acharjee Animesh , Gkoutos Georgios V. 
Published: September 2023

AbstractLink prediction in complex networks has recently attracted a great deal of attraction in diverse scientific domains, including social and biological sciences. Given a snapshot of a network, the goal is to predict links that are missing in the network or that are likely to occur in the near future. This problem has both theoretical and practical significance; it not only helps us to identify missing links in a network more efficiently by avoiding the expensive and time consuming experimental processes, but also allows us to study the evolution of a network with time. To address the problem of link prediction, numerous attempts have been made over the recent years that exploit the local and the global topological properties of the network to predict missing links in the network. In this paper, we use parametrised matrix forest index (PMFI) to predict missing links in a network. We show that, for small parameter values, this index is linked to a heat diffusion process on a graph and therefore encodes geometric properties of the network. We then develop a framework that combines the PMFI with a local similarity index to predict missing links in the network. The framework is applied to numerous networks obtained from diverse domains such as social network, biological network, and transport network. The results show that the proposed method can predict missing links with higher accuracy when compared to other state-of-the-art link prediction methods.
Utilizing convolutional neural networks to classify monkeypox skin lesions
Authors: Eliwa Entesar Hamed I. , El Koshiry Amr Mohamed , Abd El-Hafeez Tarek , Farghaly Heba Mamdouh 
Published: September 2023

AbstractMonkeypox is a rare viral disease that can cause severe illness in humans, presenting with skin lesions and rashes. However, accurately diagnosing monkeypox based on visual inspection of the lesions can be challenging and time-consuming, especially in resource-limited settings where laboratory tests may not be available. In recent years, deep learning methods, particularly Convolutional Neural Networks (CNNs), have shown great potential in image recognition and classification tasks. To this end, this study proposes an approach using CNNs to classify monkeypox skin lesions. Additionally, the study optimized the CNN model using the Grey Wolf Optimizer (GWO) algorithm, resulting in a significant improvement in accuracy, precision, recall, F1-score, and AUC compared to the non-optimized model. The GWO optimization strategy can enhance the performance of CNN models on similar tasks. The optimized model achieved an impressive accuracy of 95.3%, indicating that the GWO optimizer has improved the model's ability to discriminate between positive and negative classes. The proposed approach has several potential benefits for improving the accuracy and efficiency of monkeypox diagnosis and surveillance. It could enable faster and more accurate diagnosis of monkeypox skin lesions, leading to earlier detection and better patient outcomes. Furthermore, the approach could have crucial public health implications for controlling and preventing monkeypox outbreaks. Overall, this study offers a novel and highly effective approach for diagnosing monkeypox, which could have significant real-world applications.
Modulation of dog–owner relationship and dog social and cognitive behavior by owner temperament and dog breed group
Authors: Kujala Miiamaaria V. , Imponen Noora , Pirkkala Aino , Silfverberg Tiia , Parviainen Tiina , Tiira Katriina , Kiuru Noona 
Published: September 2023

AbstractAs companion dogs spend most of their lives with humans, the human–dog relationship and owner temperament may affect the dog behavior. In this study (n = 440), we investigated the relationship between the dog owner temperament (ATQ-R), owner-perceived dog–owner relationship (MDORS) and the dog behavior in three behavioral tests: the object-choice test, the unsolvable task, and the cylinder test. Dog owner temperament influenced the dog–owner relationship. Owners with high negative affectivity showed higher emotional closeness and perceived costs of their dog, whereas owners with high effortful control showed lower emotional closeness and perceived costs. Higher dog activity during the behavioral tests was also connected with owner-perceived lower emotional closeness. Furthermore, dog breed group modulated the connection between the owner temperament and dog behavior. Owner’s high negative affectivity correlated with herding dogs’ lower scores in the object choice test, while the behavior of primitive type dogs was unaffected by the owner temperament. Our results confirm that human characteristics are associated with the owner-reported dog–owner relationship, and owner temperament may have a modulatory effect on the dog social and cognitive behavior depending on the dog breed group, which should be investigated further.
Epidemiology of psychiatric disorders following cytoreductive surgeries plus hyperthermic intraperitoneal chemotherapy: a prospective cohort analysis
Authors: Economos Guillaume , Kepenekian Vahan , Barbaret Cécile , Villeneuve Laurent , Haesebaert Julie , Glehen Olivier 
Published: September 2023

AbstractThe peritoneal surface malignancy (PSM) is an advanced disease, the prognosis of which has been radically improved since the development of cytoreductive surgery (CRS) with or without hyperthermic intraperitoneal chemotherapy (HIPEC). These procedures are associated with many complications. However, very few data are available regarding the psychiatric morbidities that might occur. The present study assessed the epidemiology of depressive mood and anxiety during the 6 months following the procedure. The analysis of a prospective cohort that included patients who underwent CRS with or without HIPEC between December 2016 and December 2019 was performed. A total of 115 patients were included. During the 6-months follow-up, the mean (SD) Hospital Anxiety and Depression Scale –D (HADS-D) score was 7.8 (48) and a significant increase compared with the pre-operative period (t(49) = − 4.36, p < 0.005) was found. Thirty-seven patients (32%) had a HADS-D score higher than 7. The incidence of a HADS-D score higher than 7 during the follow-up was 0.05 patient per patient-month. Anxiety and the overall mental disorders intensity scores also increased. The results showed an important increase of mental disorders and their intensity during the 6-months following a CRS with or without HIPEC.
Thermosteric and dynamic sea level under solar geoengineering
Authors: Yue Chao , Jevrejeva Svetlana , Qu Ying , Zhao Liyun , Moore John C. 
Published: September 2023

AbstractThe IPCC sixth assessment report forecasts sea level rise (SLR) of up to 2 m along coasts by 2100 relative to 1995–2014 following business as usual (SSP585) scenarios. Geoengineering may reduce this threat. We use five Earth System Models simulations of two different solar geoengineering methods (solar dimming and stratospheric sulfate aerosol injection), that offset radiative forcing differences between SSP585 “no-mitigation” and the modest mitigation SSP245 greenhouse gas scenarios, to analyze the impact on global mean thermosteric and dynamic regional sea levels. By 2080–2099, both forms of geoengineering reduce global mean thermosteric sea level by 36–41% (11.2–12.6 cm) relative to SSP585, bringing the global mean SLR under SSP585 in line with that under SSP245, but do not perfectly restore regional SLR patterns. Some of the largest reductions (∼18 cm) are on densely populated coasts of eastern Northern America and Japan and along vulnerable Arctic coastal permafrost.
The Interaural Time Difference for High-Pass Filtered Noise and Its Relationship With Brainstem Dysfunction and Disability in Multiple Sclerosis
Authors: Srinivasan Vignesh Sangu , Krishna Rajalakshmi , Munirathinam Bhoopathy Rangappan 
Published: September 2023

Purpose:
Just noticeable difference for interaural time difference (JND-ITD) is a sensitive test to detect silent lesions and neural asynchrony along the auditory pathways among individuals with multiple sclerosis (MS), but it has not been studied with brainstem functional system scores (BFSS) and expanded disability status scale (EDSS). The study aims to assess the usefulness of JND-ITD thresholds in individuals with MS and relate to brainstem magnetic resonance imaging (MRI) lesions, BFSS, and disability (EDSS).

Method:

Standard group comparison design was adapted to compare the JND-ITD thresholds between individuals with MS (
n
= 45) and age and gender-matched healthy participants (
n
= 45). All participants underwent case history, neurological examination including BFSS and EDSS scoring, MRI brain imaging, minimental state examination, routine audiological evaluation, and ITD testing for high-pass filtered noise stimuli.

Results:
Of the 36 MS participants with abnormal JND-ITD thresholds, 22 (48.9%) participants could not identify maximum JND-ITD values (1,280 μs) in the ITD task. Abnormal JND-ITDs thresholds (139–1,280 μs) were obtained in 14 (31.11%) participants with MS. The JND-ITD thresholds were significantly different between the healthy and MS group. No significant association was found between the presence of ITD abnormality with the presence of brainstem lesions (MRI) and brainstem dysfunction (BFSS). Also, this study did not find any relationship between JND-ITD thresholds with disability (EDSS).

Conclusions:
This study supports the findings that JND-ITD for high-pass filtered noise is a sensitive test to detect lesions along the auditory system. Even though JND-ITD thresholds did not relate with BFSS and EDSS scores, JND-ITD abnormalities can be of great value in identifying lesions along the auditory system, especially in the early stages of MS, when clinical neurological examination does not show any signs of brainstem dysfunction, disability, and MRI without any lesions in the brain.
Implementation of Italian industry 4.0 quantum testbed in Turin
Authors: Corrias Nicola , Vagniluca Ilaria , Francesconi Saverio , De Lazzari Claudia , Biagi Nicola , Menchetti Marco , Lombardi Giovanni , Scordato Antonino , Gionco Valerio , Mercinelli Roberto , Pagano Annachiara , Valvo Maurizio , Tovar Orlando , Giacalone Giorgio , Brizzi Paolo , Occhipinti Tommaso , Zavatta Alessandro , Bacco Davide 
Published: September 2023

AbstractThe security of data communications is one of the crucial challenges that our society is facing today. Quantum Key Distribution (QKD) is one of the most prominent methods for guaranteeing ultimate security based on the laws of quantum physics. In this work, the results obtained during the Italian Industry 4.0 Quantum Testbed (II4QuTe) project are reported where the authors realised a QKD testbed securely connecting the Competence Industry Manufacturing 4.0 (CIM4.0) located in Torino and a TIM edge node located 10 km away from the testbed. The edge node accommodates the server providing computation capabilities for managing the real‐time data generated by the machines within the CIM4.0 digital factory pilot line, thus gracefully integrating QKD with the MEC (Multi‐access Edge Computing) paradigm. The experiment was conducted for more than 69 h, establishing an average key generation rate of 5.125 keys/s (AES‐256 keys) and demonstrating the stability of the entire end‐to‐end encryption system.
Research of the single‐rotor UAV gimbal vibration test
Authors: Xu Guangchen , Yu Zhenliang , Liu Guangming 
Published: September 2023

AbstractAn experimental study was conducted to investigate the phenomenon of UAV attitude instability caused by large vibrations affecting single‐rotor UAV airborne equipment. Appropriate measurement points were selected to collect vibration signals from the unmanned aerial platform during takeoff and flight of the drone. The time‐domain response and power spectral density of the unmanned aerial platform were then obtained. Establish a dynamic model of the vibration reduction system for an unmanned aerial platform and design a two‐stage vibration reduction structure for the unmanned aerial platform. Through field flight tests of unmanned aerial vehicles, it has been demonstrated that the maximum time domain response of the platform after vibration reduction is 8.75 g (less than 50 g), and the maximum root mean square value of the power spectral density (PSD) is 1.82 g (less than 3 g). The designed secondary vibration reduction structure can serve as a reference for the design of vibration reduction in unmanned aerial vehicles.
Besonderheiten und Fallstricke bei der Beschallung der
hirnversorgenden Gefäße – Teil 1
Authors: Böhme Frank 
Published: September 2023

ZusammenfassungDie doppler-/duplexsonographische Untersuchung der hirnversorgenden
Gefäße ist neben den Methoden CT-/MRT-Angiographie eine
qualitative hochwertige Diagnostik, vor allem im Zusammenspiel mit den eben
genannten bildgebenden Verfahren. Die Aussagekraft und Qualität einer
Ultraschall-Diagnostik hängt im Wesentlichen von den technischen
Voraussetzungen und persönlichen Fähigkeiten ab und vor allem
von der zur Verfügung stehenden Untersuchungszeit. In dieser
Artikelserie werden Ihnen Besonderheiten und Fallstricke erläutert und
Lösungsansätze angeboten.
Longitudinal Digital Mood Charting in Bipolar Disorder: Experiences
with ChronoRecord Over 20 Years
Authors: Bauer Michael , Glenn Tasha , Alda Martin , Grof Paul , Bauer Rita , Ebner-Priemer Ulrich W. , Ehrlich Stefan , Pfennig Andrea , Pilhatsch Maximilian , Rasgon Natalie , Whybrow Peter C. 
Published: September 2023

Abstract
Introduction Longitudinal study is an essential methodology for
understanding disease trajectories, treatment effects, symptom changes, and
long-term outcomes of affective disorders. Daily self-charting of mood and other
illness-related variables is a commonly recommended intervention. With the
widespread acceptance of home computers in the early 2000s, automated tools were
developed for patient mood charting, such as ChronoRecord, a software validated
by patients with bipolar disorder. The purpose of this study was to summarize
the daily mood, sleep, and medication data collected with ChronoRecord, and
highlight some of the key research findings. Lessons learned from implementing a
computerized tool for patient self-reporting are also discussed.
Methods After a brief training session, ChronoRecord software for daily
mood charting was installed on a home computer and used by 609 patients with
affective disorders.
Results The mean age of the patients was 40.3±11.8 years, a mean
age of onset was 22±11.2 years, and 71.4% were female. Patients
were euthymic for 70.8% of days, 15.1% had mild depression,
6.6% had severe depression, 6.6% had hypomania, and 0.8%
had mania. Among all mood groups, 22.4% took 1–2 medications,
37.2% took 3–4 medications, 25.7 took 5–6 medications,
11.6% took 7–8 medications, and 3.1% took >8
medications.
Conclusion The daily mood charting tool is a useful tool for increasing
patient involvement in their care, providing detailed patient data to the
physician, and increasing understanding of the course of illness. Longitudinal
data from patient mood charting was helpful in both clinical and research
settings.
Trapezius Myocutaneous Flap for Scalp Defect (A Case Report)
Authors: Sen S.P. , Ghosh S. , Nandi M. , Nandi Mrs. B. 
Published: September 2023

SummaryA large recurrent scalp tumour was excised. The exposed skull bones on the left side were covered successfully by using a large trapezius myocutaneous flap with a good result.
The Sanctity of Putting Packs after Palate Retropositioning
Authors: Ahuja Rajeev B. , Sandhir Rakesh K. 
Published: September 2023

SummaryThe validity of the concept of packing lateral raw areas following retropositioning surgery, for cleft palate, is questioned. Authors believe that it is a serious misconception to presume that packing can help in haemostasis, easing suture line tension and that it prevents food particles from going under the mucoperiosteal flaps. A case has been made for leaving these raw areas open as it leads to rapid epithelialization, shorter hospitalization and it eliminates foul mouth odour post-opertively. Our experience on 42 consequetive patients makes us condemn this concept.
Evaluation of Various Reconstructive Procedures for Hypospadias
Authors: Sharma R.N. , Srivastava S. 
Published: September 2023

Summary30 patients of hypospadias repaired by Denis Browne. Thompson's, Mustarde's, Asopa I & II Urethroplasty have been studied. It was observed that most of the midpenile and distal penile hypospadias can be successfully repaired by single stage procedures while proximal varieties require double stage Denis Browne Urethroplasty.
Empirical assessment of the legibility of the Naskh-style typeface used on Arabic road signs
Authors: Elbardawil Shaima 
Published: September 2023

Abstract
Most studies on the legibility of highway signs focus on the legibility of Latin typefaces. Few legibility studies of Arabic typefaces are considered in highway signage. The current study is an empirical assessment of the legibility of the Boutros Advertisers Naskh Arabic typeface, the typeface commonly used in road signage in most Middle Eastern and North African countries. The study uses common highway signs configuration within a laboratory-based simulated driving experience. The results show that Boutros Advertisers Naskh has a high threshold, which indicates low legibility on road signs, and that it requires significant improvements for continued use.
Biomechanical modelling of tumor growth with chemotherapeutic treatment: a review
Authors: Xu Jiangping , Wang Yun , Gomez Hector , Feng Xiqiao 
Published: September 2023

Abstract
The efficiency of chemotherapy in the treatment of cancer depends on the administration schedule, such as dosage, timing and frequency, and the release control if self-assembled drugs are administered, in addition to the drug transport in the tumor microenvironment. Biomechanical models can help deepen our understanding of drug pharmacokinetics and pharmacodynamics, tumor response and resistance to treatment, as well as enable the use of personalized treatment and optimal therapies. This review aims to provide an overview of computational modeling for vascular tumor growth, drug biotransport, and tumor response with integration of microenvironmental biology phenomena, e.g. angiogensis, blood flow, and mechanical stress. We first review some discrete and continuum models for vascular tumors, highlighting the advantages and challenges of each approach. Then, we discuss mathematical models that include chemotherapeutic treatment and provide potential strategies to promote drug effectiveness through numerical observations. We finalize discussing several aspects that warrant further research including multiscale modeling of cancer, incorporation of patient-specific parameters and coupling of models with emerging medical imaging technologies.
The domain of a cannibal dark matter
Authors: Hufnagel Marco , Tytgat Michel H.G. 
Published: September 2023

Abstract
We consider a scenario in which the dark matter is alone in a hidden sector and consists
of a real scalar particle with a manifest or spontaneously broken ℤ2 symmetry, at a
temperature which differs from the one of the visible sector, T' ≠ T. While similar models
with general couplings have already been studied in the literature, the special case of a model
with spontaneous symmetry breaking constitutes a non-trivial limit of these results, since it
features vanishing tree-level amplitudes for the processes k → 2 with k > 2 at
threshold, thus making the cross-section governing dark-matter freeze-out velocity suppressed. We
carefully determine the thermally averaged dark-matter annihilation cross-section in this
scenario, including the possible effects of one-loop corrections and Bose-Einstein statistics,
while also reporting our results in the domain of thermal dark matter candidates,
T'
fo/T vs. m
DM with T'
fo being the hidden-sector temperature at
decoupling. We show that for fixed quartic coupling, due to entropy conservation, the thermal
candidates lie along a curve T'/T ∝ m
DM
-1/3(1+κ) with anomalous
scaling κ ∼ 𝒪(T'
fo/m
DM) > 0. Furthermore, we demonstrate that
this scaling is valid for a broad class of cannibal DM scenarios, with or without symmetry
breaking. In addition, we also discuss the relevant cosmological and astrophysical constraints.
Connecting primordial gravitational waves and dark energy
Authors: Zhumabek Tilek , Denissenya Mikhail , Linder Eric V. 
Published: September 2023

AbstractCosmic acceleration manifested in the early universe as inflation, generating primordial gravitational waves detectable in the cosmic microwave background (CMB) radiation. Cosmic acceleration is occurring again at present as dark energy, detectable in cosmic distance and structure surveys. We explore the intriguing idea of connecting the two occurrences through quintessential inflation by an α-attractor potential without a cosmological constant. For this model we demonstrate robustness of the connection 1 +w0≈ 4/(3N2r) between the present day dark energy equation of state parameterw0and the primordial tensor to scalar ratio r for a wide range of initial conditions. Analytic and numerical solutions produce current thawing behavior, resulting in a tight relationwa≈ -1.53(1 +w0)≈ -0.2 (4 × 10-3/r). Upcoming CMB and galaxy redshift surveys can test this consistency condition. Within this model, lack of detection of a dark energy deviation from Λ predicts a higherr, and lack of detection ofrpredicts greater dark energy dynamics.