bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adaptable Multi-Objective Optimization Framework: Application to Metal Additive Manufacturing
Authors: Heddar Moahmed Imad Eddine , Mehdi Brahim , Matougui Nedjoua , Tahan Antoine , Jahazi Mohammad 
Published: December 2023

Abstract

The aim of this work is to introduce an adaptable framework for Multi-Objective Optimization (MOO) in Metal Additive Manufacturing (AM). The framework accommodates diverse design variables and objectives, enabling iterative updates via Bayesian optimization for continuous improvement. It employs space-filling design and Gaussian Process regression for high-fidelity surrogate models. A Sensitivity Analysis (SA) measures the input contributions. Multi-Objective Optimization (MOO) was performed using an evolutionary algorithm. Using literature data, the framework optimizes the surface roughness (SR) and porosity of the AM part by controlling the laser parameters. The GP model achieves cross-validation with an R² of 0.79, and with low relative mean errors. SA highlights the dominance of hatch distance in SR prediction and the balanced influence of laser speed and power on the porosity. This framework promises significant potential for the enhancement of AM technology.
Genotype and ginger (Zingibar officinale) rhizome powder dietary supplementation affect egg quality indices of aged layer chickens
Authors: Ogbu Cosmas C. 
Published: December 2023

Abstract
The study evaluated the effect of genotype and dietary ginger supplementation on egg qualities of aged Shaver brown (SB) and Nigerian heavy ecotype native (HEN) hens. Control (basal diet) groups received layer ration while supplemented (ginger diet) groups received 20g ginger/kg basal ration. Hens were fed 125g/bird/day of the experimental rations. Water was given ad libitum. 80 and 40 eggs were collected from SB and HEN basal diet groups, respectively while 80 eggs/genotype were collected from the ginger diet groups for determination of egg qualities. Egg, yolk, albumen and shell weights (EW, YW, AW and SW); egg length (EL), surface area (ESA), volume (EV), specific gravity (ESG) and shape index (ESI); egg, yolk and albumen diameters (ED, YD and AD); yolk and albumen heights (YH and AH); yolk, albumen, and ratios (YR, AR, SR) and indexes (YI, AI and SI); yolk:albumen (Y/A), Haugh unit (HU); and shell thickness (ST), volume (SV), density (SD) and compression fracture force (SCFF) were determined. Within genotypes, eggs were graded by weight and shape index and compared for quality indices. Main and interaction effects were evaluated by Two-way Analysis of Variance (ANOVA). Shape index grades in SB and weight grades in SB and HEN were compared by One-way ANOVA while shape index grades in HEN were compared by the Student’s T-test. Significant differences were accepted at p ≤ 0.05. Eggs from SB had higher EW, EL, ED, ESA, EV, ESI, YW, AW, AH, AD, AR, SW, SV, SCFF, HU, and Ca but lower ESG, YR, Y/A, Zn and P than HEN eggs. Within genotypes, ginger groups had higher EW, EL, ESA, EV, YW, YD, YR, AH, AI, Y/A, and Zn, but lower ESG, YH and YI compared to basal diet groups. Genotype x diet affected AD (SB-ginger group ˃ basal diet groups ˃ HEN-ginger group), Zn (HEN-ginger group ˃ SB-ginger group ˃ basal diet groups), and P (HEN-ginger group ˃ HEN-basal diet group ˃ SB-diet groups). Egg weight grades differed significantly in EW, ESA, ESG, ESI and SCFF in SB and HEN while shape index grades differed significantly in ESI and Y/A in SB but in ESI, YI and HU in HEN. Overall, genotype, diet, genotype x diet, and weight and shape grades influenced some of the egg quality traits.
Automated Pain Recognition in Cats using Facial Landmarks: Dynamics Matter
Authors: Martvel George , Lazebnik Teddy , Feighelstein Marcelo , Henze Lea , Meller Sebastian , Shimshoni Ilan , Twele Friederike , Schutter Alexandra , Dorn Nora , Kastner Sabine , Finka Lauren , Luna Stelio , Volk Holger , Mills Daniel , Zamansky Anna 
Published: December 2023

Abstract

Affective states are reflected in the facial expressions of all mammals. Facial behaviors linked to pain have attracted most of the attention so far in non-human animals, leading to the development of numerous instruments for evaluating pain through facial expressions for various animal species. Nevertheless, manual facial expression analysis is susceptible to subjectivity and bias, is labor-intensive and often necessitates specialized expertise and training. This challenge has spurred a growing body of research into automated pain recognition, which has been explored for multiple species, including cats. In our previous studies, we have presented and studied artificial intelligence (AI) pipelines for automated pain recognition in cats using 48 facial landmarks grounded in cats' facial musculature, as well as an automated detector of these landmarks. However, so far automated recognition of pain in cats used solely static information obtained from hand-picked single images of good quality. This study takes a significant step forward in fully automated pain detection applications by presenting an end-to-end AI pipeline that requires no manual efforts in the selection of suitable images or their landmark annotation. By working with video rather than still images, this new pipeline approach also optimises the temporal dimension of visual information capture in a way that is not practical to preform manually. The presented pipeline reaches over 70% and 66% accuracy respectively in two different cat pain datasets, outperforming previous landmark-based approaches using single frames under similar conditions, indicating that dynamics matter in cat pain recognition. We further define metrics for measuring different dimensions of deficiencies in datasets with animal pain faces, and investigate their impact on the performance of the presented pain recognition AI pipeline.
TODD-Graphene: A Novel Porous 2D Carbon Allotrope Designed for Superior Lithium-Ion Battery Efficiency
Authors: Santos Emanuel Alexandrino José , Lima Kleuton Antunes Lopes , Junior Luiz Antonio Ribeiro 
Published: December 2023

Abstract
The category of 2D carbon allotropes has gained considerable interest due to its outstanding optoelectronic and mechanical characteristics, crucial for various device applications, including energy storage. This study uses density functional theory calculations, ab initio molecular dynamics (AIMD), and classical reactive molecular dynamics (MD) simulations (ReaxFF) to introduce TODD-Graphene, an innovative 2D planar carbon allotrope with a distinctive porous arrangement comprising 3-8-10-12 carbon rings. TODD-G exhibits intrinsic metallic properties with a low formation energy and exhibits stability in thermal and mechanical behavior. Calculations indicate a substantial theoretical capacity for adsorbing Li atoms, revealing a low average diffusion barrier of 0.83 eV. The metallic framework boasts excellent conductivity, positioning TODD-G as an active layer for superior lithium-ion battery efficiency. Charge carrier mobility calculations for electrons and holes in TODD-G surpass those of graphene. Results from classical reactive MD simulation affirm its structural integrity, maintaining stability without any bond reconstructions at 1800 K.
Relationship between Plasma D-Dimer Level and Pulmonary Hypertension as well as Right Ventricle Dysfunction in Patient Post Pneumonia COVID-19
Authors: Christiawan Arman , Herminingsih Susi , Bahrudin Udin , Farhanah Nur 
Published: December 2023

Background:
High rate of coagulopathy and pulmonary thromboembolism in coronavirus disease 2019 (COVID-19), which is represented by an increase in plasma D-Dimer levels is believed to be related to pulmonary hypertension (PH) and right ventricle (RV) dysfunction.

Objective:
To evaluate the relationship between plasma D-Dimer levels with PH and RV dysfunction assessed from transthoracic echocardiography (TTE) in patients post COVID-19 pneumonia.

Methods:
Observational research with a cross-sectional design. Estimated mean pulmonary arterial pressure (mPAP) was calculated from Mahan's formula obtained from pulmonary artery acceleration time (PAAT) and RV function was assessed from RV free wall strain (RV FWS), tricuspid annular plane systolic excursion (TAPSE), and fractional area change (FAC). D-Dimer levels during hospitalisation were obtained from medical records and actual D-Dimer was obtained at the time of echocardiography.

Results:
Total 40 patients post-COVID-19 pneumonia underwent TTE in a median of 11 days after negative PCR. There was a significant correlation between peak D-Dimer levels with mPAP (r=0.526, p<0.001), RV FWS (r=-0.506, p=0.001), TAPSE (r=-0.498, p=0.001), and FAC (r=0.447, p=0.004). Multivariate analysis found peak D-Dimer ≥4530 µg/L independently associated with PH with odds ratio (OR) 6.6, (95% CI 1.1-10; p=0.048), but not with RV dysfunction.

Conclusion:
Peak D-Dimer level correlates with echocardiographic parameters of RV function and mPAP in patients with COVID-19 infection. Peak D-Dimer ≥4530 µg/L might increase risk of PH, but not RV dysfunction in patient post pneumonia COVID-19.
Post-COVID-19 Olfactory and Gustatory Dysfunction: Photobiomodulation Therapy as a Treatment Option in a Series of Cases
Authors: Sales Déborah Santos , Hammerle Mariana Beiral , da Silva Souza Rayanne , Pinheiro Patricia Gomes , de Araújo Davico Clarissa , Freitas Débora Viana , do Nascimento Simões Eunice , Gouvea Elisa Gutman , Herzog Ana Carolina F. , Santos Daniel Lucas de L. S. , de Souza Resende Hannah , Nunez Carrijo Carolina Garcia , Thuler Luiz Claudio , Vasconcelos Claudia C. F. 
Published: December 2023

Introduction:
Coronaviruses patients may develop various neurological complications, including loss of smell and taste. Rehabilitation programs should be considered for patients with disabilities lasting longer than two weeks. The present pilot study evaluated photobiomodulation therapy (PBMT) as a treatment option for olfactory and gustatory dysfunctions.

Case Representation:
The study included six patients with coronavirus disease with olfactory and gustatory complaints who were part of a cohort of 172 coronavirus disease patients monitored for late neurological manifestations. Olfactory and gustatory functions were evaluated using visual analog scales applied at baseline, end, and 6 months after treatment. 36-item Short-Form General Health Survey and a questionnaire containing closed questions were also administered. All scales were applied by a researcher blinded to the results of the given intervention. An intranasal PBMT protocol was applied, with 16 laser sessions performed twice a week at a 48-hour interval.

Results:
A statistically significant difference was observed between the medians of the visual analogue scale scores for olfactory and gustatory disorders before, after, and six months later. The medians of the physical role, social functioning, general health, and emotional role SF-36 domains were higher after treatment, suggesting improved quality of life.

Conclusion:
The results observed in this study suggest that PBMT can be an effective resource for patients with long-term COVID-19.
The Effect of Holy Quran Audio Therapy on Depression and Anxiety Among Jordanian Patients Following CABG: A Randomized Control Trial
Authors: AbuRuz Mohannad Eid , Othman Elham H. , Al-Dweik Ghadeer , Momani Aaliyah , Ahmed Fatma Refaat 
Published: December 2023

Background:
The positive outcomes of the CABG procedure are affected by several factors, including the patient’s psychological status, measured by the level of depression and anxiety. The prevalence of depressive symptoms among Jordanian post-CABG patients is high. However, clinicians do not consider anxiety and depression and their impacts in the daily screenings. The effects of non-pharmacological interventions (
i.e. Holy Quran Audio Therapy and Music Therapy) on anxiety and depression have been investigated in some cardiac populations, although no single study was designed specifically to investigate the effect of Holy Quran Audio Therapy on anxiety and depression post-CABG.

Objective:
To examine the effect of Holy Quran audio therapy on anxiety and depression among Arabic-speaking post-CABG patients.

Materials and Methods:
A randomized controlled trial was conducted among 165 post-CABG ICU patients at four major hospitals in (in Amman), (Jordan). They were randomly distributed into control (N = 83) and intervention (N = 82) groups. The intervention group received Holy Quran audio therapy on two days (typically the second and third days after CABG, when patients were alert and not intubated). The therapy session was of ten minutes duration, with four hours in between sessions. Depression and anxiety were measured at baseline and follow-up using the Depression Anxiety Stress Scale. Independent and paired t-tests were used for data analysis.

Results:
Holy Quran audio therapy was linked to statistically significant positive effects. In which Intervention group of patients displaying lower mean depression and anxiety levels compared to the control group (M [SD]; 8.82 [6.35]
vs. 13.38 [5.52]) (M [SD]; 6.26 [1.59]
vs. 7.48 [3.44], respectively).

Implications for Nursing:
Holy Quran audio therapy is a non-invasively and non-pharmacologically intervention that might be used to decrease depression and anxiety.

Conclusion:
Holy Quran audio therapy significantly improved post-CABG patients’ anxiety and depression and is recommended for Muslim patients to improve their psychological status.

Registration Number:
The clinical trial studies have the registration number NCT 05419554.
Nursing Students’ Perception of Clinical Simulation in the Eastern Region of Saudi Arabia
Authors: Al Malki Nabat , Almutairi Amani , Alsulami Bayan , Altwairqi Haneen , Alruwaybie Ibtihal , Albugami Manal , Al Malki Mawahib 
Published: December 2023

Background:
Simulation in nursing has advantages for performance, psychomotor skills, and clinical learning. In addition, simulation has been reported to show a positive impact, which may guide nurse instructors with regard to the conditions beyond which patient simulation is more practical than the traditional learning style.

Objective:
The study aimed to evaluate the perceptions of nursing students studying at the College for Health Sciences in the eastern region of Saudi Arabia.

Methods:
A quantitative study design was used in this study. A descriptive survey was conducted using a convenience sample of nursing students at the College for Health Sciences in the eastern region of Saudi Arabia. The questionnaire consisted of 10 questions presented on a four-point Likert scale.

Results:
A total of 103 nursing students participated in the study with a response rate of 85%. The majority (70%) were Bachelor program students, while 30% were Bridging program students. Most respondents’ age ranged between 18–22 (55%). The respondents' level of the program that they were enrolled in while taking the survey was as follows: first year (17%), second year (20%), third year (28%), and fourth year (35%). Students demonstrated the strongest agreement with the statement “simulation helped in better understanding the concepts in the clinical setting” with a mean of 3.0. However, the lowest mean score of 2.74 was for the statement “simulation was realistic and students experienced nervousness during their simulation sessions”.

Conclusion:
The results conclude that simulations help students better understand concepts in clinical settings, provide them with valuable learning experiences, and help them stimulate critical thinking abilities.
Research on Image Encryption Method based on the Chaotic Iteration of a
Ternary Nonlinear Function
Authors: Qinwu Zeng , Wanbo Yu , Qingjian Zeng 
Published: December 2023

Objective:
Considering that some image encryption algorithms have the disadvantages
of complex structure and high computational cost, and there are not many commonly used chaotic
systems, which are easy to crack by attacks, to solve these problems, this paper proposes an image encryption algorithm based on three-dimensional nonlinear functions to solve these problems.

Methods:
The algorithm mainly combines the sinusoidal chaotic map with the ternary nonlinear
function system to encrypt the image. Firstly, multiple ternary nonlinear function chaotic systems
are designed. Then, the function iteration system is changed to invoke the computation of a specific expression under a random number; it is a chaotic sequence generated according to a chaotic
mapping such as sine, and then the value of this chaotic sequence is used to select a ternary nonlinear function for iteration to obtain a chaotic sequence. Finally, the chaotic sequence performs
the XOR and scrambling operations on the grey image

Results:
The algorithm has a simple structure, a better encryption effect, and more incredible difficulty deciphering. Moreover, through the phase diagram and bifurcation diagram, it can be seen
that the system has good chaotic characteristics

Conclusion:
The method in this paper is novel; this method is a random variable order composite
operation, which can not only be applied to image encryption but also can be used for fractal map
generation and so on, and in some other chaotic fields will have a wide range of applications. It
has essential research value.
Knowledge Representation Learning Method Based on Semantic
Enhancement of External Information
Authors: Li Song , Yang Yuxin , Zhang Liping 
Published: December 2023

Background:
Knowledge representation learning aims at mapping entity and relational data in knowledge graphs to a low-dimensional space in the form of vectors. The existing work has mainly focused on structured information representation of triples or introducing
only one additional kind of information, which has large limitations and reduces the representation efficiency.

Objective:
This study aims to combine entity description information and textual relationship
description information with triadic structure information, and then use the linear mapping
method to linearly transform the structure vector and text vector to obtain the joint representation vector.

Methods:
A knowledge representation learning (DRKRL) model that fuses external information for semantic enhancement is proposed, which combines entity descriptions and textual
relations with a triadic structure. For entity descriptions, a vector representation is performed
using a bi-directional long- and short-term memory network (Bi-LSTM) model and an attention mechanism. For the textual relations, a convolutional neural network is used to vectorially
encode the relations between entities, and then an attention mechanism is used to obtain valuable information as complementary information to the triad.

Results:
Link prediction and triadic group classification experiments were conducted on the
FB15K, FB15K-237, WN18, WN18RR, and NELL-995 datasets. Theoretical analysis and experimental results show that the DRKRL model proposed in this paper has higher accuracy and
efficiency compared with existing models.

Conclusion:
Combining entity description information and textual relationship description information with triadic structure information can make the model have better performance and
effectively improve the knowledge representation learning ability.
Niveles de concentración de metales pesados en sedimentos de zona alta del río Locumba, Perú
Authors: Condori Apaza Renée Mauricio , Alviz Gonzales Larceny Fabiela , Méndez Ancca Sheda 
Published: December 2023

El ecosistema acuático como destinatario final de los residuos producidos por los procesos antropogénicos y naturales es un problema creciente de contaminación en nuestro planeta y actualmente la presencia de metales pesados que presentan es un índice alarmante. Esta investigación es importante porque el distrito de Ite utiliza para sus actividades diarias y consumo como líquido elemental el agua del río. La subcuenca del río Locumba se encuentra dentro del distrito de Ite y se caracteriza por actividades mineras y agrícolas. Objetivo: determinar la calidad de los sedimentos del río mediante las concentraciones de metales pesados (As, B, Cd, Cr, Cu, Fe, Mn y Pb) en la zona alta del río Locumba. Materiales y métodos: en los meses de enero y marzo se realizó la tomade muestras en un rango altitudinal entre 350 y800 msnm, en época seca y lluviosa. Se utilizó la guía para muestreo de sedimentos (LSASDPROC-200-R4), estándares de calidad de USEPA. Los análisis se realizaron por espectroscopia de plasma ICP-OES. Resultados: los niveles de concentración nos muestran que los metales pesados están presentes, como el arsénico que superó estándares de 58 ppm en promedio; borocon 8,2 ppm; cobre con 372 ppm y plomo con 121ppm. Conclusiones: la calidad de sedimento del río Locumba por presencia de metales pesados no es adecuada y trae consigo riesgos ambientales, afectando la biota y los ecosistemas.
Personal security concepts in the scientific space of psychological knowledge
Authors: Тылец Валерий Геннадьевич , Краснянская Татьяна Максимовна 
Published: December 2023

Рассматриваются персональные концепции безопасности, чем восполняется пробел изучения имплицитных образований, управляющих поведением человека при возникновении опасности его жизни и благополучию. Цель исследования – теоретический анализ феномена персональных концепций безопасности. Под персональными концепциями безопасности понимается совокупность ментальных конструкций, образованных проекциями феноменологического пространства безопасности на психические структуры человека и выражающих его субъектную позицию в соответствующей предметной области. Ядро персональных концепций безопасности субъекта образует его концепция личной безопасности, в наибольшей степени связанная с Я-концепцией личности и обладающая высоким воздействием на остальные частные концепции субъекта, его психическое состояние и поведение. Персональные концепции безопасности неоднородны, характеризуются внешней и внутренней структурой, динамичны и полифункциональны (функции управления, трансмиссии и самообновления). Представленные материалы выражают принципиальные позиции по ряду вопросов современности, связанные с повышением защищенности человека в социальной, правовой, экономической и других сферах жизнедеятельности. Предложенная трактовка категории «персональные концепции безопасности», сделанные выводы по содержанию, структуре и свойствах соответствующего феномена создают плацдарм для выбора направлений последующей исследовательской разработки проблематики.
Personal concepts of security are considered, which fills the gap in the study of implicit formations that control human behavior when there is a danger to his life and well-being. The aim of the study was a theoretical analysis of the phenomenon of personal security concepts. Personal security concepts are understood as a set of mental constructions formed by projections of the phenomenological security space on the mental structures of a person and expressing his subjective position in the relevant subject area. The core of the subject’s personal security concepts is formed by his personal security concept, which is most closely related to the Self-concept of personality and has a high impact on the rest of the subject’s private concepts, on his mental state and behavior. Personal security concepts are heterogeneous, characterized by an external and internal structure, dynamic and multifunctional (control, transmission and self-renewal functions). The materials presented in the article express our principled positions on a number of modern issues related to increasing human security in social, legal, economic and other spheres of life. The proposed interpretation of the category of “personal security concepts”, the conclusions drawn on the content, structure and properties of the corresponding phenomenon create a springboard for choosing the directions of subsequent research development of the problem.