bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative analysis of the aberrant immunophenotype and clinical characteristics in dogs with lymphoma: a study of 27 cases
Authors: Bae Hyeona , Kim Sang-Ki , Yu DoHyeon 
Published: October 2023

IntroductionAberrant lymphoma phenotypes are frequently found in dogs, but the clinical implications are sparse.MethodsTwenty-seven dogs with aberrant lymphoma diagnosed using flow cytometry between 2017 and 2023 were analyzed. Major paraneoplastic syndromes, prognostic factors, and clinical features of lymphoma were compared to their immunophenotypes.ResultsTwenty-seven dogs had aberrant immunophenotypes, with MHCII- (48%) and CD3+/CD21+ (44%) being the most commonly identified aberrancies. In B-cell lymphoma, the most frequent aberrancies were MHC II- (53%), CD3+/CD21+ (41%), CD34+ (24%), and CD79a- (24%). Meanwhile, in T-cell lymphoma, CD3+/CD21+ (63%), CD4-/CD8-(50%), CD5- (50%), and CD45- (50%) were the most common. The platelet–neutrophil ratio was significantly higher in the CD3+/CD21+ group than in the other groups, where either one or both markers were not expressed (55.23 ± 39.64; 18.72 ± 14.95, respectively;p = 0.001). Serum albumin concentration was significantly lower in the MHCII-group (2.59 g/dL, 95% CI 2.31–2.87) than in the MHCII+ group (3.06 g/dL, 95% CI 2.88–3.23;p = 0.009). CD34 expression showed significant correlations with cranial mediastinal mass, WHO clinical substage, and fever (p = 0.028,p = 0.041, andp = 0.047, respectively). MHCII expression was correlated with adverse reactions to chemotherapy, cranial mediastinal masses, and fever (p = 0.009,p = 0.023, andp &lt; 0.001, respectively). No statistically significant differences in the survival period were observed for any of the phenotypic aberrancies.ConclusionAberrant lymphomas are common in dogs. Some clinical prognostic factors that significantly correlate with aberrant immunophenotypes have been identified and can be applied clinically.
Niosomal Delivery of Celecoxib and Metformin for Targeted Breast Cancer Treatment
Authors: Basheer Haneen A. , Alhusban Maram A. , Zaid Alkilani Ahlam , Alshishani Anas , Elsalem Lina , Afarinkia Kamyar 
Published: October 2023

Breast cancer continues to be a prominent worldwide health concern and requires continued investigation into innovative therapeutic approaches. Here, we report the first investigation into the therapeutic efficacy of combining Metformin (MET) and Celecoxib (CXB), both in free and niosomal form, for the treatment of breast cancer. Our investigation encompassed the characterization of these niosomal drug carriers, their stability assessment, and their effect on breast cancer cell models. The thin-film hydration technique was employed to prepare niosomes with spherical, uniform-size distributions and high encapsulation efficiencies. The niosomes were characterized by TEM, particle size analyzer, and ATR-FTIR. The niosomes with an average size of 110.6 ± 0.6 and 96.7 ± 0.7, respectively, for MET and CXB were stable when stored at 4 °C for three months with minimal drug leakage, minor changes in encapsulation efficiency and size, and unchanged physicochemical parameters. Evaluation in two-dimensional (2D) and three-dimensional (3D) viability assays demonstrated an increased cytotoxicity of encapsulated drugs when compared to their free-drug counterparts. Additionally, the combination of Metformin Niosomal Particles (MET NPs) and Celecoxib Niosomal Particles (CXB NPs) led to decreased cell viability in both 2D and 3D models compared to each drug administered individually. When comparing the effect of the niosomal versus the free combination of the drugs on cell migration, we found that both interventions effectively prevented cell migration. However, the efficacy of the niosomes’ combination was not superior to that of the free drug combination (p < 0.05). In conclusion, the results of this study provide valuable insights into the potential application of combining MET and CXB nanoparticle delivery systems to breast cancer treatment. Exploring the in vivo application of this drug delivery system could open new avenues for more effective and targeted therapeutic approaches for breast cancer patients.
Analysis of enamel hypoplasia causes and risk factors in children
Authors: Karpova L. S. , Tkachenko T. B. , Savushkina N. A. , Omirova N. I. , Kordina A. A. , Kotyurova O. L. 
Published: October 2023

Relevance. Enamel hypoplasia is one of the most common defects of a child's hard dental tissue. Molar incisor hypomineralization (MIH) is one of the systemic hypoplasia forms. MIH is defined as a qualitative defect of enamel development in children and adolescents affecting at least one permanent molar with or without the involvement of the incisors. As for the causes, MIH, as a form of enamel hypoplasia, proved to be a multifactorial disease.Material and methods. Conducted in dental clinics of St. Petersburg, an empirical study surveyed 90 respondents with the anonymous original questionnaire developed by us. The report summarized the results of descriptive statistics on measurements related to the data of the three groups on existing disorders of the hard dental tissues in children.Results. The average age of women whose children are not diagnosed with caries and enamel hypoplasia was 35.52 years, while the average age of mothers of children with MIH was 40.17 years. The study of the number of previous pregnancies and childbirths revealed no signs of MIH and pitting enamel hypoplasia (PET) in children of the first pregnancy. The analysis of the past medical history impact in women during pregnancy on the development of enamel defects provided statistically significant results for such illnesses as URTI and VURTI, as well as chronic endocrine diseases. According to the data obtained, influenza, past respiratory diseases and antibiotic intake during the first year of a child's life led to the development of various types of enamel hypoplasia.
Local anaesthetics in pediatric dental practice (literature review)
Authors: Ekimov E. V. , Skripkina G. I. , Garifullina A. Zh. , Chumichkin N. V. 
Published: October 2023

Relevance. To date, painless, comfortable dental treatment of adults and children remains a priority for modern dentistry. It is of note that children specifically need adequate pain relief more than others since negative emotions received in childhood can determine the relationship between the dentist and the patient for the rest of their lives. Local anaesthetics, the preferred method of anaesthesia in pediatric dentistry, come to the aid of doctors. However, the question arises about the correct selection of a local anaesthetic and its concentration. There is a lot of research on this topic; however, not all local anaesthetics used in adult patients are safe enough and justified for use in pediatric dentistry. In addition, on the market today, there are a lot of anaesthetic drugs, various forms of presentation, types, concentrations and combinations. All of the above sets high demands on the dentist.Purpose. To analyze and systematize scientific research on local anaesthetics in pediatric dental practice.Material and methods. The main research method was the analysis of literature on the topic. Based on established PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) criteria, publications were searched in the Medline PubMed and E-library databases by the keywords: "pediatric dentistry", "local anaesthetics", "pain relief", and "anaesthesia".Results. The analysis of the presented studies demonstrated a variety of used means and methods of local anaesthesia in children.Conclusion. Pediatric dental practice dictates special rules for the treatment of patients; in each case, the doctor must take into account the data of the medical history and the level of anxiety of the child for a reasonable choice of ways and method of local anaesthesia.
Building Interpersonal Communication Through The Local History Dramatic Role Play
Authors: Syukri Muhammad , Sosrohadi Somadi , Hidayahni Amin Fatimah 
Published: October 2023

Today, in higher education, at the university level, the learning process is still evolving. The objective of this study was describe how to use local role-playing activities for interpersonal communication among students, especially those who have completed semester 5, in order to improve their language skills. In this way, knowledge can explicitly test the order of the function studied and explored by students to help them understand the concept of learning. The study design uses a quantitative survey as the approach, while observation and questionnaire are for data collection. The results show that the local history role-playing method is effective in building interpersonal communication, especially for the 5th-grade English curriculum. A local drama using the “Topekkong Agreement” was indicated where students always express their ideas which the listener can understand and then give feedback or response. So, this method could improve students' English skills. This study recommends that further research is needed to develop methods, especially building interpersonal communication by using a local history drama approach.
O transtorno do Espectro Autista e a alimentação – uma revisão
Authors: Quintana Fagner Machado , Tiecher Aline , Ribeiro Guilherme , Ribeiro Paula Ferreira de Araujo 
Published: October 2023

Um aspecto característico de indivíduos autistas é o desenvolvimento de hábitos restritivos, aversivos, ritualísticos e seletivos em relação à alimentação, dificultando a ingestão de alimentos com diversidade, quantidade e qualidade, podendo desencadear o desenvolvimento de sintomas e transtornos gastrointestinais. O objetivo desse estudo foi reunir informações disponíveis na literatura científica sobre o Transtorno do Espectro Autista (TEA) e a alimentação, destacando principalmente, as dificuldades e as alterações no hábito alimentar, as consequências geradas e as possíveis ações a serem desenvolvidas para a melhoria da segurança alimentar e nutricional dos indivíduos. Foram realizadas buscas através das bases de dados Google Acadêmico, SciELO, Periódico Capes, PubMed e Biblioteca Digital Brasileira de Teses e Dissertações (BDTD), durante o período de março a junho de 2023. Para as estratégias de buscas foram utilizados os seguintes descritores: “TEA” ou “autismo” combinados à “glúten”, “caseína”, “alimentação”, “trato gastrointestinal”, “mastigação e deglutição”, “comportamento alimentar”, “vitamina D” e “ômega-3”. Como critérios de inclusão foram utilizadas publicações entre 2013 e 2023 e nos idiomas espanhol, inglês e português. Os resultados apontaram que são muitas as dificuldades, sintomas e alterações encontradas por indivíduos com TEA em relação à alimentação, as quais limitam o consumo de alimentos de forma variada, com quantidade e qualidade e, muitas vezes, de maneira prazerosa. O estudo e a abordagem de estratégias e condutas que possam ajudar na melhoria destas condições é bastante importante dentro do espectro autista, visto a necessidade de práticas que ajudem a melhorar a qualidade de vida dos indivíduos portadores.
O impacto do isolamento social na incidência de artralgia em estudantes da área de saúde de uma instituição de ensino superior de Belo Horizonte
Authors: Silveira Nícolas Semaan , Madureira Regis Felipe , Silveira Sara Semaan , Ribeiro Priscilla Delasalle 
Published: October 2023

A artralgia está associada a um comprometimento da função articular e pode ser provocada por doenças inflamatórias que possuem o sedentarismo como fator de risco. Nesse sentido, o isolamento social, criado para conter o avanço da COVID-19, pode estimular o sedentarismo e aumentar a incidência de artralgia. Analisar o impacto do isolamento social na incidência de artralgia nos alunos de uma instituição de ensino superior de Belo Horizonte. Estudo observacional transversal com 117 acadêmicos. O projeto foi aprovado pelo Comitê de Ética em Pesquisa (Número CAAE: 40764620.0.0000.5134). Posteriormente, foi realizada a coleta de dados por meio do Google Forms. As associações entre variáveis categóricas foram avaliadas pelos testes Qui-quadrado e a comparação das variáveis numéricas com a presença de artralgia foi realizada pelo teste de Mann-Whitney. As análises foram realizadas no software R versão 4.0.3, considerando um nível de significância de 5%. Da amostra, 85 eram mulheres (73%) e 32 eram homens (27%). Não houve diferença estatística em relação a idade (22 ± 3,9), altura (1,7 ± 0,1), peso (62,2 ± 11,8), IMC (21,9 ± 2,8), infecção pela COVID-19 (48%) e o sedentarismo (25%) com a incidência de artralgia. Além disso, foi possível evidenciar que aproximadamente 24% dos participantes que tiveram a infecção por COVID-19 apresentaram dor articular durante o curso da doença. Foi encontrado uma prevalência de artralgia de aproximadamente 40% nos acadêmicos em geral, e uma incidência de artralgia de cerca de 19% durante a pandemia.
Li2HfBr6 scintillator for neutron and gamma-ray dual detection
Authors: Fujiwara Chihaya , Kurosawa Shunsuke , Yamaji Akihiro , Yoshikawa Akira 
Published: October 2023

Abstract
Li2HfBr6 with host emission was grown as a gamma-ray- and neutron-sensitive scintillator. Decay time of Li2HfBr6 was estimated to be less than 5 μs, and single-photon counting is available to evaluate its light output. The emission wavelength under X-ray excitation was approximately 570 nm, which is a longer wavelength than that of commonly used neutron scintillators, e.g. Li-glass. The light output excited by thermal neutrons was estimated to be 52000 photons per thermal neutron, which is approximately eight to nine times higher than that of Li-glass. Additionally, neutrons and gamma rays were discriminated using the pulse-shaped discrimination technique for Li2HfBr6.
Reducing switching current with Gilbert damping constant in nanomagnets with perpendicular anisotropy under Dzyaloshinskii–Moriya interaction
Authors: Yamada Keisuke , Takamatsu Shun-ichi , Asakawa Hiroki , Nakatani Yoshinobu 
Published: October 2023

Abstract
We report current-induced magnetization switching (j
sw) with a nanosecond-duration pulse current (t
p) in a perpendicularly magnetized nanomagnet under the Dzyaloshinskii–Moriya interaction (DMI) and investigate the effect of the Gilbert damping constant (α), t
p, and DMI value (D) on j
sw via micromagnetic simulations. When α is sufficiently small at t
p = 1 ns, j
sw for D = 1.0 erg cm−2 decreases by 42% compared to that for D = 0 erg cm−2. Further, j
sw can be reduced under the DMI when α is small and t
p is short, which is attributed to the twisted magnetization and increased initial magnetization angle.
Observation of low-frequency Raman peak in layered WTe2
Authors: Nema Hirofumi , Fujii Yasuhiro , Oishi Eiichi , Koreeda Akitoshi 
Published: October 2023

Abstract
WTe2 recently attracted considerable attention as a layered material exhibiting ferroelectricity, giant magnetoresistance, and pressure-induced superconductivity. In this study, we performed Raman spectroscopy on bulk WTe2, including the low-frequency region. An unfamiliar Raman peak (P0) was found at approximately 9 cm−1 in addition to the seven already known peaks (P1–P7). Furthermore, the angular and polarization dependence of the spectra revealed the peak P0 had A
1 symmetry. The symmetry is consistent with the experimental results and first-principles calculations by other groups. Our work paves the way for studying the symmetry of the low-frequency phonons in atomic-layer ferrolectric films using Raman spectroscopy.
Joint Detection and Decoding over Multipath Channels
Authors: Mirbadin Anoush , Zaraki Abolfazl 
Published: October 2023

<p>We use the sum-product algorithm (SPA) on factor graphs to enable joint detection and decoding over multipath channels in single-carrier modulation formats. We simulate the multipath channels as accurately as possible at the receiver side by discretizing channel parameters, such as channel paths and attenuation coefficients, to compute means of Gaussian observations. We assign these parameters Bernoulli random variables and consider priors of <strong>0.5</strong> for them. We propose a novel implementation strategy to reduce the complexity of the receiver considerably. </p>
Modulation of Point Spread Function for Super-Resolution Imaging
Authors: Lu Jian-yu 
Published: October 2023

<p>A four-dimensional (4D) super-resolution imaging method (called PSF modulation method) was developed via modulation of an arbitrary point-spread-function (PSF) of an imaging system. The highest image resolution achievable will only be limited by the noises in the images. Theory, computer simulations, and experiments were presented. </p>
<p>A pulse-echo image of a super-resolution (0.65 mm versus a two-way diffraction-limited resolution of 2.65 mm) and 31-dB signal-to-noise ratio (SNR) was obtained with an ultrasound experiment using a 0.5-mm diameter modulator and 1.483-mm wavelength. Another ultrasound experiment shows that a wave source was imaged at a super-resolution (0.5 mm versus a one-way diffraction limited resolution of 3.63 mm) at about 30-dB SNR, using the same modulator size and wavelength. </p>
<p>In addition, a PSF-weighted super-resolution imaging method based on the PSF modulation method was developed. This method is easier to implement but may have some limitations. With a proper choice of a modulator and imaging system, nanoscale imaging is possible using the methods developed. </p>
Modeling of Motion Distortion Effect of Scanning LiDAR Sensors for Simulation-based Testing
Authors: Haider Arsalan , Haas Lukas , KOYAMA SHOTARO , ELSTER LUKAS , KÖHLER MICHAEL H. , SCHARDT MICHAEL , ZEH THOMAS , INOUE HIDEO , JAKOBI MARTIN , KOCH ALEXANDER W. 
Published: October 2023

<p> Automated vehicles use light detection and ranging (LiDAR) sensors for environmental scanning. However, the relative motion between the scanning LiDAR sensor and objects leads to a distortion of the point cloud. This phenomenon is known as the motion distortion effect, significantly degrading the sensor’s object detection capabilities and generating false negative or false positive errors. In this work, we have introduced ray tracing-based deterministic and analytical approaches to model the motion distortion effect on the scanning LiDAR sensor’s performance for simulation-based testing. In addition, we have performed dynamic test drives at a proving ground to compare real LiDAR data with the motion distortion effect simulation data. The real-world scenarios, the environmental conditions, the digital twin of the scenery, and the object of interest (OOI) are replicated in the virtual environment of commercial software to obtain the synthetic LiDAR data. The real and the virtual test drives are compared frame by frame to validate the motion distortion effect modeling. The mean absolute percentage error (MAPE), the occupied cell ratio (OCR), and the Barons cross-correlation coefficient (BCC) are used to quantify the correlation between the virtual and the real LiDAR point cloud data. The results show that the deterministic approach matches the real measurements better than the analytical approach for the scenarios in which the yaw rate of the ego vehicle changes rapidly. </p>
Revolutionizing Enterprise Resource Planning: Integrating Java and AI to Propel Web-Based ERP Systems into the Future
Authors: Bodemer Oliver 
Published: October 2023

<p>In the dynamic landscape of Enterprise Resource Planning (ERP), the integration of Java and Artificial Intelligence (AI) has emerged as a pivotal strategy to enhance web-based ERP systems. This article delves into the synergistic relationship between Java’s robust web development capabilities and AI’s intelligent functionalities, aiming to revolutionize ERP systems by ensuring they are more adaptive, predictive, and intelligent. Through a succinct exploration of strategic integrations, case examples, and future prospects, this article aims to provide insights into how businesses can leverage the confluence of Java and AI to navigate through the complexities of digital transformation, thereby propelling their ERP systems into the future of intelligent business management. </p>
Physical Layer Secret Key Generation with Kalman Filter Detrending
Authors: Mitev Miroslav , Chorti Arsenia , Fettweis Gerhard 
Published: October 2023

<p>The massive deployment of low-end wireless Internet of things (IoT) devices opens the challenge of finding de-centralized and lightweight alternatives for secret key distribution. A possible solution, coming from the physical layer, is the secret key generation (SKG) from channel state information (CSI) during the channel’s coherence time. This work acknowledges the fact that the CSI consists of deterministic (predictable) and stochastic (unpredictable) components, loosely captured through the terms large-scale and small-scale fading, espectively. Hence, keys must be generated using only the random and unpredictable part. To detrend CSI measurements from deterministic components, a simple and lightweight approach based on Kalman filters is proposed and is evaluated using an implementation of the complete SKG protocol (including privacy amplification that is typically missing in many published works). In our study we use a massive multiple input multiple output (mMIMO) orthogonal frequency division multiplexing outdoor measured CSI dataset. The threat model assumes a passive eavesdropper in the vicinity (at 1 meter distance or less) from one of the legitimate nodes and the Kalman filter is parameterized to maximize the achievable key rate.</p>
Machine Learning-based Robust Physical Layer Authentication Using Angle of Arrival Estimation
Authors: Pham Thuy M. , Signialesi Linda , Baldi Marco , Fettweis Gerhard P. , Chorti Arsenia 
Published: October 2023

<p>In this paper, we study the use of the angle of arrival (AoA) as a feature for performing robust, machine learning (ML)-based physical layer authentication (PLA). In fact, whereas most previous research on PLA relies on physical properties such as channel frequency/impulse response or received signal strength, the use of the AoA in this context has not yet been studied in depth as a means of providing resistance to impersonation (spoofing) attacks. In this study, we first prove that an effective impersonation attack on AoA-based PLA can only succeed under very stringent conditions on the attacker in terms of location and hardware capabilities, and thus, the AoA can in many scenarios be used as a robust feature for PLA. In addition, we exploit machine learning in our study to perform lightweight, model-free, intelligent PLA. We show the effectiveness of the proposed AoA-based PLA solutions by testing them on experimental outdoor massive multiple input multiple output data.</p>