bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fully Automated Unsupervised Learning Approach for Thermal Camera Calibration and An Accurate Human Temperature Tracking
Authors: Al-Azzawi Adil 
Published: June 2024

Abstract

During the past three years, people have suffered a lot from what the World Health Organization called the emerging Covid-19. The world lacked the means and methods for early detection of this virus, several methods were used traditional methods for detecting this virus, such as thermometers, a remote thermal detection gun, and other traditional methods. Most of these systems monopolized making profits or selling their camera products, as the prices of these cameras equipped with a temperature detection system exceeded three thousand dollars. An unsupervised model for real-time detection of thermal face skin temperature was proposed, despite the scarcity and availability of thermal video data, we found and used a database created at Nazarbayev University in Nur-Sultan, Kazakhstan, which contains clips of thermal video and RGB video. Where the two different videos were calibrated, and the congruence was measured by two measures, SSIM and Correlation, and then four methods of registration were used to achieve perfect congruence, and the congruence was also measured through the two previous measures, and then the K-means method was used to extract clusters, and then functions for post-processing were built, then, the thermal face skin was extracted by multiplying the binary face into the thermal face, and the temperature of the face was calculated by taking the average values of the thermal face skin pixels and converting them from Fahrenheit to Celsius. Satisfactory results were obtained for us, as temperatures were detected for some cases within the normal range, others below the normal range, and others higher than this rate.
Disinformation elicits learning biases
Authors: Vidal-Perez Juan , Dolan Raymond , Moran Rani 
Published: June 2024

Abstract

Disinformation is often considered to pose a threat to open societies. However, we know little regarding the learning biases elicited by disinformation. To address this, we developed a novel reinforcement learning task wherein participants chose between lotteries without knowing the true outcomes of their choices (rewards or non-rewards). Instead, they received choice-feedback from sources who occasionally disseminated disinformation by lying about choice outcomes. As these sources varied in their truthfulness this allowed us to test how learning differed based on source-credibility. Across two experiments computational modelling indicated that learning increased in tandem with source-credibility, consistent with normative Bayesian principles. However, we also observed striking biases reflecting divergence from normative learning patterns. Notably, individuals learned from sources known to be unreliable and increased their learning from trustworthy information when it was preceded by non-credible information. Furthermore, the presence of disinformation exacerbated a “positivity bias” whereby individuals self-servingly boosted their learning from positive, compared to negative, choice-feedback. Our findings reveal cognitive mechanisms underlying learning biases in the face of disinformation, with potential implications for strategies aimed at mitigating its pernicious effects.
Irradiated umbilical cord mesenchymal stem cell-coated high oxygen-permeable hydrogel lenses inhibit corneal inflammation and neovascularization in the treatment of alkaline corneal burn
Authors: Song Siqi , Cheng Yaqi , Li Weihua , Yu Huan , Li Zhiquan , Li Jianbing , Li Meng , Huang Qunai , Liu Yingjie , Ling Shiqi 
Published: June 2024

Abstract

Background
Corneal alkali burns can cause persistent inflammation and corneal neovascularization. In this study, we aimed to determine whether applying radiation-treated umbilical cord mesenchymal stem cells (UCMSCs) to the ocular surface via high oxygen-permeable hydrogel lenses has an effect on corneal alkali burns and to further investigate the underlying molecular mechanisms involved.
Methods
After the rabbit corneal burn model was established, the rabbits were randomly divided into the untreated group, the blank lens group, the radiation-treated UCMSC lens group, and the UCMSC I.V. group. Then, we measured corneal inflammation, neovascularization and corneal injury repair via slit lamp microscopy, captured anterior segment optical coherence tomography (AS-OCT), and performed hematoxylin-eosin staining. Moreover, corneas from the blank lens group and the radiation-treated UCMSC lens group were subjected to transcriptome gene sequencing, immunohistochemistry, enzyme-linked immunosorbent assay (ELISA), and quantitative reverse transcription-polymerase chain reaction (qRT‒PCR).
Results
Compared with those in the other experimental groups, radiation-treated UCMSC lenses significantly decreased corneal inflammation and neovascularization and promoted the repair of corneal injury. Suppression of the T helper 17 (Th17) cell differentiation pathway plays a role in the therapeutic effect of radiation-treated UCMSC lenses. Immunohistochemistry and enzyme-linked immunosorbent assay (ELISA) revealed that the expression of interleukin (IL)-17 in corneas treated with radiation-treated UCMSC lenses was lower than that in corneas treated with blank lenses, and radiation-treated UCMSC lenses exhibited greater expression of IL-4 and signal transducer and activator of transcription 1 (STAT1), while the expression of cluster of differentiation-3G (CD3G), a linker for the activation of T cells (LAT), IL-6, IL-1B, CC chemokine receptor 6 (CCR6) and IL-23 exhibited the opposite effects (all P < 0.05).
Conclusions
Irradiated umbilical cord mesenchymal stem cell-coated high oxygen-permeable hydrogel lenses on the ocular surface inhibited corneal angiogenesis and inflammation and promoted the repair of corneal injury. The downregulation of Th17 cell differentiation might be responsible for these effects.
A Passenger Flow Prediction Model Based on Graph Convolutional Network with Multivariate Spatio-temporal Correlation
Authors: Ma Ying , LI Yang 
Published: June 2024

Abstract

Accurate prediction of short-term passenger flow is very important for rational planning and stable operation of cities, however, the problem of passenger flow prediction faces many challenges, including both the establishment of an effective spatio-temporal dynamic model structure and the necessity to comprehensively consider a variety of factors affecting the explicit and implicit passenger flow. So, a Multi-Variate Spatio-Temporal Correlation Graph Convolutional Network model (MVSTCGCN) is proposed. The model utilizes three kinds of spatially correlated graphs to construct a base graph, which is combined to capture spatio-temporal features globally; temporal attention mechanism, spatial attention mechanism, graph convolution operation, and spatio-temporal convolution constitute the spatio-temporal graph convolution module to capture local spatio-temporal features; meanwhile, the core module of graph convolution network is improved by being integrated wavelet transformation operators. The model is validated by New York taxi YellowTrip dataset and self-built dataset respectively; the simulation experiments show that the performance of our algorithm has more obvious advantages compared with other excellent algorithms.
Probabilistic analysis of pile foundations using Monte Carlo and Subset simulations compared with FOSM-based hybrid ANN paradigm
Authors: Suman Subodh Kumar , Burman Avijit , Choudhary Shiva Shankar 
Published: June 2024

Abstract

The presence of uncertainty and variability in soil and sub-soils is a fundamental aspect of pile design. Thus, extensive study has been conducted to accurately measure the reliability or likelihood of structural failure. This work investigates the suitability of Monte Carlo and Subset simulations for the risk assessment of piles. In addition, First-order second-moment method (FOSM)-based hybrid artificial neural network (ANN) frameworks were used. Specifically, five hybrid ANNs were constructed using swarm intelligence algorithms A comparative analysis of Monte Carlo, Subset, FOSM, and FOSM-based hybrid ANN was conducted at different co-efficient of variation levels. The effectiveness of the utilized hybrid ANNs was determined using diverse statistical indices. Based on the performance, the best-fitted hybrid ANN was selected and utilized for risk assessment of pile foundations. According to the results, the employed ANN-MPA framework exhibit the best-fitted estimation with 99.2% (R2 = 0.9920) accuracy. The probability of failure was subsequently determined using Monte Carlo, Subset simulation and FOSM-based ANN-MPA methods. According to the results, the FOSM-based ANN-MPA approach can be considered as an alternative tool for quick estimation of risk assessment of pile foundations under different coefficient of variations levels.
Neurodevelopmental and Long-Term Remarks in Survivors of Hypoplastic Left Heart Syndrome with Restrictive Atrial Septum
Authors: Chivukula Sonia Voleti , Anton Corinne M , Cheatham-Johnson Randi J , Ikemba Catherine Minor 
Published: June 2024

Abstract

Background Hypoplastic left heart syndrome with intact or restrictive atrial septum (HLHS-RAS) is an extremely high-risk subtype with near 50% mortality despite prenatal diagnosis and successful intervention. To enhance fetal counseling in this lesion beyond survival, we reviewed long-term neurodevelopmental outcomes in HLHS-RAS survivors.Methods Institutional IRB approval was obtained to perform a retrospective chart review on all patients with prenatally diagnosed HLHS-RAS who underwent emergent catheter-based intervention at UT Southwestern-Children’s Medical Center Dallas between 2009–2016.Results 6/14 patients with HLHS-RAS survived (43%). Demographics are presented in Table 1. Excluding the patients who received heart transplantation, available neurodevelopmental screening and qualitative remarks are presented in Table 2.Conclusions Survival in HLHS-RAS is poor despite prenatal diagnosis. Survivors may have average neurodevelopment in early childhood but are at increased risk for neurodevelopmental delays which may manifest at variable intervals, underscoring the importance of serial assessment to maximize potential in this high-risk patient population. Qualitative remarks implicate reasonable activity tolerance and socialization in survivors to later childhood.
A Systematic Online Update Method for Reduced-Order-Model-Based Digital Twin
Authors: Tang Yifan , Sajadi Pouyan , Dehaghani Mostafa Rahmani , Wang G. Gary 
Published: June 2024

Abstract

A digital twin (DT) is a model that mirrors a physical system and is continuously updated with real-time data from the physical system. Recent implementations of reduced-order-model-based DT (DT-ROM) have been applied in aerodynamics and structural health monitoring, where partial differential equations (PDEs) are utilized to update reduced bases and coefficients. However, these methods are not directly applicable when the PDEs of the system are unknown. This paper addresses the online update challenge for DT-ROM in scenarios lacking known PDEs of the system. To tackle the challenge, a systematic online update and application method is proposed. During the online update, the projection residual of online data on the reduced bases determines the necessity of updating reduced bases, while the prediction residual of online data obtained by the current DT-ROM is used to decide whether to update the coefficient model. By sequentially evaluating both criteria, the method selectively incorporates essential online data for the online DT model update. During the online application, a criterion defined based on online data is adopted to determine whether the offline DT-ROM or the online one is applied to output final predictions. The capability of the proposed method is tested through three numerical and three engineering problems. Results indicate that the proposed online update method consistently reduces both projection and prediction residuals, thereby progressively enhancing the performance of the online DT-ROM on test data. Meanwhile, the online application method provides a prediction performance better than using offline DT-ROM only. Both demonstrate that the proposed work could be applied to online DT update where the PDEs of the system are unknown.
La influencia de los contenidos ideológicos de los memes virtuales en la identidad social
Authors: Zúñiga González Santiago , Rengifo Moreno Isaías , Peláez Marín Santiago , Calle Acosta Valentina 
Published: June 2024

El meme se ha transformado en un método de comunicación para dejar ver situaciones, emociones, pensamientos surgidos en un individuo con sus grupos sociales de referencia, partiendo de la apropiación simbólica del contexto al cual pertenece. Para la recolección de información como su análisis se requirió del método fenomenológico-hermenéutico para analizar los discursos de los sujetos y el material que presenta ciertos contenidos ideológicos de los memes virtuales los cuales pueden ser aprobados, rechazados y/o compartido por los entrevistados. Los jóvenes comunican con sus grupos de referencia memes virtuales que presentan algunos contenidos ideológicos como religiosos, políticos, situaciones cotidianas, entre muchos otros temas, siendo importante para ellos tanto para su afiliación como alteridad respecto a sus grupos, generando consecuencias a su identidad social, llevando a tener conflictos con los grupos en el que se encuentran inmersos, aunque también se da la posibilidad de guardar silencio como opción por la presión ejercida por los demás, lo cual lleva al joven a reflexionar acerca de sus filiaciones sociales.
Niosome-Based Hydrogel of Quince Extract: A Promising Strategy for Expedited Full-thickness Wound Healing in Rat
Authors: Ebrahimnejad Pedram , Heydarabadi Paria Fadaee , Amiri Fereshteh Talebpour , Mirzaee Fatemeh , Ahmadi Melika , Shahani Somayeh 
Published: June 2024

Background:
The regeneration of tissue damage involves a series of molecular and cellular
events that can be mediated by various natural compounds. Recent studies have highlighted
the anti-inflammatory, anti-ulcer, and skin-protecting properties of Cydonia oblonga (Quince),
which are mainly attributed to phenolic compounds. These compounds may have some drawbacks
when targeting wound applications, including low bioavailability at the wound site. Moreover, to
overcome these limitations, surfactant-based nanovesicular systems have been developed as carriers
of such compounds for wound healing.

Objective:
This study aimed to highlight the possible therapeutic potential of niosome-based hydrogel
from Quince extract to stabilize and deliver the related bioactive compounds to full-thickness
wounds in rats.

Methods:
The niosomal hydrogel was prepared using a thin-film hydration method with the fruit
extract (70% methanol). The formulation was optimized by evaluating size, zeta potential, dispersion
index, and drug encapsulation efficiency. Full-thickness wounds were created on the dorsal
cervical area of Wistar rats, and histopathological analysis of biopsy specimens was conducted on
the 12th day of treatment.

Results:
Under the study conditions, niosomal hydrogel displayed good physicochemical stability.
Histopathological findings demonstrated that niosomal gel promoted angiogenesis, fibroblast maturation,
collagen deposition, keratinization, and epidermal layer formation more effectively than
control and hydrogel base. Furthermore, niosomal gel treatment markedly reduced inflammation.
The total phenol concentration was determined to be 13.34 ± 0.90 mg gallic acid equivalents per
gram of dried extract.

Conclusion:
The niosomal hydrogel containing C. oblonga extract shows potential as a novel approach
for wound healing, warranting further investigation in this field.
Targeting Diabetes with Azole-derived Medicinal Agents
Authors: Mehra Anuradha 
Published: June 2024

:
Azoles have long been regarded as an ideal scaffold for the development of numerous
innovative therapeutic agents as well as other incredibly adaptable and beneficial chemicals with
prospective uses in a variety of fields, including materials, energetics (explosophores), and catalysis
(azole organocatalytic arbitration). Azoles exhibit promising pharmacological activities, including
antimicrobial, antidiabetic, antiviral, antidepressant, antihistaminic, antitumor, antioxidant, antiallergic,
antihelmintic, and antihypertensive activity. According to a database analysis of U.S. FDAapproved
medications, 59% of specific medications are connected to small molecules that have
heterocycles having nitrogen atoms. The azole moiety has impressive electron abundance. Azoles
promptly attach to various receptors as well as enzymes in the physiological environment via distinct
specialized interactions, contributing to their anti-diabetic potential. This review encompasses
the recent research progress on potent azole-derived antidiabetic agents that can be used as an alternative
for the management of type-2 diabetes.
Literature Review Regarding the Applicability and Clinical Outcome of Basal Implant
Authors: Habash Ghassan , Jayash Soher Nagi , Albanna Sajeda Jawad , Omiri Mahmoud K. AL 
Published: June 2024

Objective
Restoring moderate to severely atrophic jaws with conventional implants often involves extensive surgical procedures. Basal implants, designed for immediate use in atrophied jawbones, offer an alternative by supporting single and multiple-unit restorations in the upper and lower jaws without the need for risky and expensive bone augmentation. However, their success rate diminishes significantly in areas with limited residual bone. This review aims to assess the applicability of basal implants compared to conventional endosseous implants.

Methods
A comprehensive literature review was conducted utilizing PubMed, Scopus, the Cochrane Library, EMBASE, and Google Scholar. The analysis focused on manuscripts and overviews published over a span of 20 years until September 8, 2022.

Results
Studies indicate that basal implants are a reliable option in specific cases, especially when other implants are not feasible, such as in severe alveolar bone atrophy. However, there is insufficient strong evidence to recommend basal implants over conventional ones. The evidence level of the reviewed papers all belong to evidence level V, which encompasses case reports and studies lacking controls.

Conclusions
The advantages of basal implants over conventional implants remain uncertain. The standard of care in dentistry should prioritize evidence-based practices, which commonly include the use of conventional implants. Further research is necessary to establish their efficacy and suitability in various clinical scenarios.
Clinical and Epidemiological Features of Melasma in Women of Iran: A Cross-sectional Study
Authors: Fathabad Mohadeseh Nazari , Raesi Rasoul , Hushmandi Kiavash , Hosseini Motahreh , Soleimani Anoshirvan , Daneshi Salman 
Published: June 2024

Background
Melasma is a chronic skin disorder that is characterized by the accumulation of irregular brown pigments in the skin. Lesions are usually seen on the forehead, temples, upper lip, and cheeks. This disease is one of the most common reasons for women to visit dermatologists.

Aim
The present study was conducted to determine the clinical and epidemiological characteristics of melasma in women referred to the dermatology clinic.

Methods
This is a cross-sectional study that was conducted on 100 women who were referred to the dermatology clinic of Imam Khomeini Hospital in Jiroft City in the first half of 2021 using a convenient sampling method. Data were collected using a researcher-made checklist and analyzed using SPSS-v20 statistical software and descriptive and inferential tests at a significance level of p˂0.05.

Results
The average age of women with melasma was 32.8±0.64 years. The majority of clients had skin type four (57%) and skin type three (30%). The spread of pigmentation was mainly centro facial (62%), and there was a positive family history in 43% of cases. Moreover, it was found that melasma is not related to any of the variables of age, number of children, duration of the disease, marital status, family history, history of hormonal treatment, history of pregnancy and subsequent exacerbation, thyroid disease and polycystic ovary syndrome, and use of night creams and sunscreen.

Conclusion
Melasma is a relatively common disease in Iran. Additional studies are needed to find the epidemiological and underlying variables and treatment of melasma.
Conformational Dynamics of Post-Translational-Modified α-Synuclein
(pY39 and pS87) and its Interaction with Lipid Membrane
Authors: Das Dorothy , Mattaparthi Venkata Satish Kumar 
Published: June 2024

Background:
The biological function of α-Synuclein (α-Syn), which includes controlling
synaptic vesicles, is regulated by phosphorylation at the Tyrosine 39 (pY39) residue. This
function can be important for both normal and aberrant functions, and it relies on the interaction
of α-Syn with the lipid membrane. pY39 α-Syn is found to form morphologically distinct fibrils
relative to wild-type (WT) α-Syn and shows less affinity to negatively charged vesicles. Also, the
phosphorylation at position Serine 87 (pS87) is increased in synucleinopathies, which inhibits α-
Syn oligomerization and affects the interaction between α-Syn and the membrane.

Objective:
This work aimed to study the effects of post-translation modifications of α-Syn (pY39
and pS87) using all-atom Molecular Dynamics (MD) simulation.

Method:
In this computational study, we used all-atom MD simulations to investigate the effects
of phosphorylation (pY39 and pS87) on protein-membrane interaction. The MD trajectories obtained
were analyzed, and secondary structural content was calculated using YASARA software
to perform a salt-bridge interaction study. Also, Principal component analysis was performed to
analyze the secondary minima and global minima of the phosphorylated proteins.

Results:
From the MD study, we observed that phosphorylation at the Tyr 39 position in α-Syn
has a marked effect on its interaction with the lipid membrane. The conformational snapshots of
α-Syn obtained showed a high degree of fluctuations in the N-terminal region that disrupts the helix-
2 binding region. The secondary structures of pS87 α-Syn were found to be retained and influence
the NAC region to immerse into the membrane while inhibiting the potential to interact with
other neighbouring molecules. Moreover, it was observed that in the case of pY39 α-Syn as opposed
to pS87 α-Syn, there were larger energy disparities between the local and global minima of
the overall structure.

Conclusion:
Therefore, disruption of the helix-2 binding region may affect the binding to the lipid
membrane and take over interaction with other proteins or vesicles. In the case of pS87 α-Syn, the
structure showed higher stability, but the NAC domain was found to emerge out of the membrane.