bluuebunny/crossref_metadata_2025_split huggingface dataset:
WITHDRAWN: CGRA Implementation of HEVC Decoder Using Predictable Context Directed Pattern Matching With Efficient and Flexible Memory Architecture
Authors: Munaf S. , Bharathi A. , Jayanthi A. N. 
Published: January 2024

Abstract

In this paper, the Predictable Context Directed Cache Data Memory (PCDCDM) on the context memory and the data memory organization is presented. To handle the context memory, this research proposes PCDPC as a framework to address the above context problems by an efficient prefetching method. This architecture will support context configuration to concurrently run multiple operations with the support of Context Word Fields. Besides, Hierarchical Data Memory architecture is used to achieve fast reconfiguration, and the maximum internal bandwidth is given to buffer intermediate data and reutilized input information. The result is obtained on PCDCDM architecture by experiments running HEVC long profile video decoding can be obtained in term of Cache Miss Rate, Power, and Delay than existing architectures.
Altering temporal dynamics of sleepiness and mood during sleep deprivation: evidence from resting-state EEG microstates
Authors: bai duo , lei xu 
Published: January 2024

Abstract

OBJECTIVE: Sleep deprivation has been shown to negatively affect mood and sleepiness on both subjective and objective measures, as well as behavioral and neuroimaging levels. Nevertheless, few studies have clarified the relationship between abnormal brain dynamic activity after sleep deprivation and the impairment of mood and drowsiness from a temporal dynamics perspective. EEG microstate analysis could be served as a powerful tool to explore the large-scale dynamics of brain networks.
METHODS: A strict sleep deprivation protocol was adopted in this study to collect resting-state EEG data, subjective sleepiness, objective alertness, and mood assessments from 71 participants after both normal sleep and sleep deprivation conditions. We applied the most recent technique in resting state microstate analysis to compare the differences in microstate time parameters between the sleep control (SC) and sleep-deprived (SD) conditions. Furthermore, we investigated the relationships between alterations in these time parameters and subjective/objective measures of sleepiness, as well as mood changes between SC and SD.
RESULTS: Microstate B mean duration and occurrence were significantly decreased by sleep deprivation, whereas microstate C duration and occurrence increased. The decrease in class B occurrence was significantly correlated with the increased Karolinska Sleepiness Scale (KSS) score, while the reduction in B duration was indicative of the increased response time of the Psychomotor Vigilance Performance (PVT). There was no statistically significant association found between the microstate parameter characteristics and the decline in positive mood between SC and SD. Person correlation analysis was carried out on the positive mood scores under the SC and SD conditions, respectively, to look into this further. The findings demonstrated a significant positive relationship between positive mood scores and the mean duration of microstate B under SD conditions.
CONCLUSIONS: In a larger sleep deprivation dataset, mood and sleepiness were thoroughly examined using microstate analysis, which took into account both subjective and objective aspects of sleepiness. According to this study, subjective/objective sleepiness and positive mood were associated with the decreased B. This finding may reveal that the neural dynamics of the visual network have been compromised due to deprivation.
Added Value of EURO-CORDEX downscaling over the complex orography region of the Pyrenees
Authors: Bilbao-Barrenetxea Nerea , Santolaria-Otín Maria , Teichmann Claas , Faria Sergio Henrique , Máñez-Costa María 
Published: January 2024

Abstract
This study presents an assessment of the added value of downscalling utilizing Regional Climate Models (RCMs) compared to Global Climate Models (GCMs) in the high mountain region of the Pyrenees, characterized by complex topography. We investigate the EURO-CORDEX ensemble, employing a gridded high-resolution observational database as a reference. A recently proposed method is applied to quantify the performance gains or losses associated with dynamic downscalling. Our analysis focuses on calculating the added value by exploring the extremes of the probability density function (PDF), spatial distribution patterns, and its relationship with elevation. Overall, our findings reveal improvements in the representation of precipitation, minimum temperature, and maximum temperature. RCMs demonstrate enhanced performance in capturing maximum precipitation events; however, they struggle to represent low precipitation rates, particularly in the Mediterranean area of the mountain range. Regarding temperature, dynamical downscalling exhibits improvements in capturing maximum events. Nevertheless, deficiencies are observed in the RCMs' representation of minimum temperature events for both minimum and maximum temperature variables, as well as in representing near-freezing temperatures.
TSG-6 inhibits the NF-κB signaling pathway and promotes the odontogenic differentiation of DPSCs via CD44 in an inflammatory environment
Authors: Wang Ying , Xie Yulang , Xue Ningning , Xu Hao , Zhang Dunfang , Ji Ning , Chen Qianming 
Published: January 2024

Abstract
In pulpitis, dentinal restorative processes are considerably associated with undifferentiated mesenchymal cells in the pulp. This study aimed to investigate strategies to improve the odonto/osteogenic differentiation of dental pulp stem cells (DPSCs) in an inflammatory environment. After pretreatment of DPSCs with 20 ng/mL tumor necrosis factor-induced protein-6 (TSG-6), DPSCs were cultured in an inflammation-inducing solution. Real-time polymerase chain reaction and western blotting were performed to measure the expression levels of nuclear factor kappa B (NF-κB) and odonto/osteogenic differentiation markers, respectively. Cell Counting Kit-8 and 5-ethynyl-2'-deoxyuridine assays were used to assess cell proliferation and activity. Subcutaneous ectopic osteogenesis and mandibular bone cultures were performed to assess the effects of TSG-6 in vivo. The expression levels of odonto/osteogenic markers were higher in TSG-6-pre-treated DPSCs than nontreated DPSCs, whereas NF-κB-related proteins were lower after the induction of inflammation. An anti-CD44 antibody counteracted the rescue effect of TSG-6 on DPSC activity and mineralization in an inflammatory environment. Exogenous administration of TSG-6 enhanced the anti-inflammatory properties of DPSCs and partially restored their mineralization function by inhibiting NF-κB signaling. The mechanism of action of TSG-6 was attributed to its interaction with CD44. These findings reveal novel mechanisms by which DPSCs counter inflammation and provide a basis for the treatment of pulpitis.
Physio chemical Water Quality Assessment from Source to Point of Use: The Case of Woldia Town, Ethiopia
Authors: kassahun demelash yenesew 
Published: January 2024

Abstract
Sanitation and access to clean drinking water are major global issues. A major problem in many nations' water supply systems is the deterioration of water quality, which can be caused by a variety of interrelated physical, chemical, and biological factors. The issue is more serious in developing nations such as Ethiopia. Thus, the aim of this study is to evaluate the variation in drinking water quality, both seasonal and spatial, in Woldia town, Amhara Regional State, Ethiopia. The research was carried out between July 2023 and December 2022. A total of 200 water samples were collected from each sample site during two rounds of sampling during the dry and wet seasons. Water sources (n = 4), reservoirs (n = 2), and distribution are the 12 sampling points that are chosen in accordance with the WHO sampling points selection principle. The analysis of the data was done with SPSS 26. Descriptive statistics like mean and standard deviation were employed in the study, along with inferential statistics like Pearson correlation and analysis of variance (ANOVA). To observe the significant difference between sampling points at p<0.05 and the significant correlation between the parameters. The outcome demonstrated that, in both seasons, all chosen physicochemical parameters were found to be within the acceptable limit of WHO and Ethiopian standards, with the exception of total hardness, free residual chlorine, and water temperature.
Microarray Data Analysis and Subgroup Identification of Medulloblastoma
Authors: Gunaretnam Keerthana 
Published: January 2024

Abstract
Microarray technology, a recent advancement in cancer research, has the potential to address disorders such as medulloblastoma. This study focused on the careful analysis of microarray data for medulloblastoma patients, aiming to identify physiologically significant subgroups through exploratory analysis. The research involved data preparation, exploration, dimensionality reduction via principal component analysis (PCA), heatmap visualization, and subgroup identification via non-negative matrix factorization (NMF). Various R packages, including RColorBrewer, rgl, limma, biobased, and NMF, were utilized for data analysis and visualization. The study explored the application of NMF to identify optimal subgroups and assessed the quality of these subgroups. The results reveal distinct molecular subgroups in medulloblastoma, contributing to a better understanding of this complex condition and potentially guiding the development of tailored treatments.
Mathematical Modeling of Norovirus Outbreaks: Assessing Intervention Strategies
Authors: Ndendya Jufren Zakayo , David James , Bahaye Dickson , Leandry Leonce , Mfinanga Issa , Mtabazi Janeth , Sosoma Innocent , Ntagalinda Elimercy 
Published: January 2024

Abstract
Norovirus, a highly contagious pathogen responsible for numerous outbreaks of gastrointestinal illness, poses a significant public health challenge. In this study, we investigate the intricate dynamics of Norovirus transmission by analyzing the relationships between critical parameters and employing effective intervention strategies. Our analysis leverages mathematical modeling, data-driven insights, and visualization tools. Through a series of contour plots, we examine the impact of parameters such as the effective contact rate (β), vaccination rate (θ), treatment rate (ω), and vaccine efficacy on the effective reproduction number (Re). Notably, an increase in vaccination rate and vaccine efficacy leads to a substantial decrease in the number of exposed and infected individuals, underlining the pivotal role of vaccination in disease control. Furthermore, we explore the combined effects of treatment and vaccination strategies, highlighting their synergistic potential. A higher treatment rate (ω), coupled with increased vaccination coverage (θ), results in a notable reduction in disease transmission, particularly when both strategies exhibit high efficacy. These findings underscore the importance of comprehensive public health measures. In conclusion, our study provides valuable insights into Norovirus disease dynamics and the effectiveness of intervention strategies. By understanding the intricate interplay of parameters and the potential of combined approaches, we offer a foundation for informed decision-making in public health. These insights have the potential to guide policy recommendations and advance efforts to combat Norovirus, ultimately improving public health outcomes and reducing the burden of this pervasive pathogen.
Neonatal Outcomes of Intestinal Atresia – Impact of Prenatal Diagnosis
Authors: Chong Clara , Hall Nigel J 
Published: January 2024

Abstract
Purpose
Following surgical correction, infants with jejunal and ileal atresia (JIA) have a period of intestinal dysfunction whilst establishing enteral feeds. We aimed to identify factors associated with prolonged duration of parenteral nutrition (PN) or length of stay (LOS) to inform discussions with families.
Methods
Retrospective review of all cases with JIA (January 2000-April 2021). Key outcomes were duration of PN, LOS, additional procedures performed and mortality. Infants with underlyingcomorbidities were excluded (e.g. meconium complications of cystic fibrosis, gastroschisis). Data are median (IQR).
Results
Seventy-six infants were included. Median gestational age (GA) was 37 (34-38) weeks and birth weight 2.9kg (2.4-3.3). Antenatally diagnosed in 35 (46%), location of atresia was jejunal in 41 (54%). Median duration of PN was longer for antenatally diagnosed cases compared to those postnatally (12.5 vs 5 days; p=0.01), as was LOS (19.5 vs 13; p=0.02). Multivariate analysis demonstrates infants diagnosed antenatally spend an extra 11 days on PN compared to those found postnatally and stay for an additional 11 days regardless of site of atresia.
Conclusions
Infants with antenatal diagnosis of JIA take significantly longer to establish enteral feed and have longer LOS. These data inform pre- and postnatal parental counselling and help establish standards for future comparison.
Solving the SAT problem using spiking neural P systems with coloured spikes and division rules
Authors: Peul Prithwineel , Sosik Petr 
Published: January 2024

Abstract
Spiking neural P systems (SNPS) are variants of the third-generation neural networks. In the last few decades, different variants of SNPS models have been introduced. In most of the SNPS models, spikes are represented using an alphabet with just one letter. In this paper we use a deterministic SNPS model with coloured spikes (i.e., the alphabet representing spikes contains multiple letters), together with neuron division rules to demonstrate an efficient solution to the SAT problem. As a result, we provide a simpler construction with significantly less class resources to solve the SAT problem in comparison to previously reported results using SNPSs.
MSC Classification: 68Q05 , 68Q42 , 68Q45 , 92D20
An Innovative Hybrid-Box tool for Ranking Preferences using Multi-objective Evolutionary Gradient Strategies
Authors: Ibrahim Osman Ali Sadek 
Published: January 2024

Abstract
Optimizing data features plays a crucial role in simplifying the process of selecting instances and analyzing datasets, especially when dealing with ranking problems. In scenarios such as ranking instances in medical diagnosis, search engine optimization, and information retrieval, there is a need for models that can rank data instances based on the significance of their features within the datasets. This paper provides a hybrid-box tool which is an efficient Multiobjective computational intelligence technique that generates ranking models by utilizing training and validation datasets. These models are then assessed using unseen test data to produce the predictive results. This tool uses a Multi-objective (1+1)-Evolutionary Gradient Strategy algorithm with a novel gradient methodology for adapting the mutation step-size. Furthermore, it uses five objective functions besides the mutation hybridizing by four probability distributions as random number generators. This tool is a novel technique in the continuous optimization research domain for ranking data instances. Regardless of the hidden details during the evolving procedure, it provides the best-evolved ranking model at the end of each run. This makes the tool is hybrid between Black and White Box tools.
Tasa respiratoria de Cryphiops caementarius (CRUSTACEA, PALAEMONIDAE): explicación de la migración juvenil.
Authors: Zuñiga Oscar , Ramos Roberto 
Published: January 2024

Se midió consumo de oxigeno estándar en juveniles del camarón de rio Cryphiops caementarius a combinaciones de temperatura (10, 20 y 30 °C) y salinidades (0, 10,20 y 35°/oo) usando respirómetros semiestáticos individuales. La tasa metabólica ( V02) fue significativamente (P 0,05) afectada por la temperatura, salinidad y la interacción de ambas variables. La sensibilidad térmica (Q10) mostró en los organismos un patrón definido para aguas salobres inferiores a 20°/oo. La respuesta metabólica a cambios agudos de temperatura determinaría la migración ascendente de la especie en el rio. Palabras claves: Camarón, salinidad, temperatura, migración.
IMPROVING EFFICIENCY IN PRE-ECLAMPSIA DIAGNOSIS: SPOT URINARY PROTEIN/CREATININE RATIO
Authors: SINGH PRAVEEN , ARNOTE POOJA , THAKUR KAJAL 
Published: January 2024

Objective: Because pre-eclampsia can cause difficulties, it presents a serious threat to maternal healthcare. The well-being of both the mother and the fetus depends on a prompt and precise diagnosis. There are drawbacks to using conventional techniques, such as collecting urine for a whole day to determine proteinuria. Although the spot urine protein/creatinine ratio is a faster option, its clinical value is yet unknown.
Methods: The purpose of this cross-sectional study, which ran from July 1, 2018, to June 30, 2019, was to evaluate the spot urine protein/creatinine ratio in preeclamptic pregnant women vs the traditional 24 h urine protein collection technique. Ninety inpatients in all who satisfied certain inclusion and exclusion criteria were included.
Results: Compared to comparable research by Hanumant et al. (13%), 6.66% of patients in our study had abnormal fundus examination findings. Papilloedema was absent from all participants, and the cautious management of anomalies was consistent across investigations. In line with the results of Hossain et al. and Sapna et al., the mean urine protein creatinine ratio in our investigation was 1.75±2.32. A smaller ratio was discovered by Umran et al., whereas Jung Hwa Park et al. claimed a larger ratio. Jung Hwa Park et al. also showed a greater mean protein excretion during a 24 h period (2713±2003 mg/d).
Conclusion: This research at Kamla Nehru Hospital emphasizes the spot urine protein/creatinine ratio's potential as an effective pre-eclampsia diagnostic tool. In healthcare settings with limited resources, prompt detection of severe proteinuria can improve maternal and fetal outcomes by streamlining patient treatment.
REVOLUTIONIZING PHARMACEUTICALS: A DEEP DIVE INTO SELF NANO EMULSIFYING DRUG DELIVERY SYSTEMS
Authors: NIKAM PRAJWAL , JAIN APARNA , SOLANKI DIPTI , AHER SHUBHANGI 
Published: January 2024

From nearly a decade’s time, there has been an increased inclination with respect to nanoemulsions owing to their augmented and ameliorated characteristics in comparison to conventional methods of drug delivery. Self-nano-emulsifying drug delivery systems (SNEDDS) have substantiated their effectiveness in enhancing the solubility and bioavailability of poorly soluble substances. These systems, often isotropic mixtures, consist of oils, surfactants, and cosurfactants/cosolvents. They possess the capability to create nanoemulsions or fine oil-in-water (o/w) emulsions with mild stirring and dilution by the water phase along the gastrointestinal tract. This system has proven its worth in enhancing the absorption of lipophilic agents constrained by dissolution rate. SNEDDS are extremely efficacious in improving the oral bioavailability of lipophilic products and is quite promising for managing drugs unapt for oral delivery. Additionally, it's noteworthy that SNEDDS can be formulated into various solid dosage forms suitable for both oral and parenteral administration. This overview incorporates the advancements of SNEDDS' the mechanism involved in its spontaneous formation, its subcategories, composition, approaches employed for formulation, characterization, merits and limitations, and future potential. The review also lays stress on the progress in solid self-emulsifying delivery mechanisms and dosage forms.
A STUDY TO ASSESS THE ATTITUDE OF MEDICAL STUDENTS TOWARDS LEARNING COMMUNICATION SKILLS IN A TEACHING HOSPITAL IN ANDHRA PRADESH
Authors: LATHA R. ASHA , FARHANA M. A. , SONIA S. SHARON , RIYAZ N. M. , MALLIKA B. S. B 
Published: January 2024

Objective: Communication plays an essential role in present era of medical and health system where doctor should maintain good interpersonal relationship with patients. Teaching of communication skills to medical students as a part of the curriculum has gained importance in recent past. This study was conducted to assess attitude of medical students towards learning communication skills.
Methods: Prior institutional ethical committee approval and prior informed consent obtained from participants. Study conducted among medical students of second and third year MBBS. Students were given a questionnaire (google forms). Questionnaire consisted of 26 items related to positive and negative attitude; 13 items in each subscale. Responses received were entered and analysed in Microsoft excel.
Results: Total of 300 students participated, with a response rate of 76%. 132(57.9%) students were second year and 96(42.1%) were third year. 159(69.7%) students were females and 69(30.3%) were males. Reliability of scale was calculated using Cronbach’s Alpha, 0.859 for PAS and 0.704 for NAS; which were good and acceptable values. Better positive attitude scores (52.34±6.03) observed over negative attitude scores (40.07±6.40), implies students having a positive attitude towards learning communication skills. There were no significant differences between scores when compared between males and females and between second and third year MBBS students.
Conclusion: Results of study emphasize that introduction of AETCOM learning modules in the medical curriculum has a positive impact on students towards learning communication skills. Doctor-patient inter-relationship, treatment decision-making, etc., are dependent on doctor’s communication skills; which can be improved and strengthened with AETCOM implementation in medical curriculum.
La teoría de las inteligencias múltiples en la enseñanza de ELE
Authors: Arroyo Martínez Laura , Chavarría Pérez Cristina 
Published: January 2024

Durante los últimos años, el avance de los estudios lingüísticos ha producido nuevas aplicaciones en la enseñanza de lenguas extranjeras, en particular del ELE/L2. Los avances de la lingüística cognitiva se asocian a otros logros conquistados en disciplinas como la psicología de la educación, la psicolingüística o la neurociencia. Tomando en cuenta dichos avances, los dos objetivos teóricos básicos de este trabajo son establecer: a) qué aportaciones de la teoría de las inteligencias múltiples (TIM) (teoría esencial para entender las bases del aprendizaje desde un enfoque psicológico y motivacional) han repercutido en la enseñanza del ELE; y b) qué otras interpretaciones de esta teoría pueden influir en el futuro en la enseñanza del ELE.
Asimismo, se presentará una propuesta de aplicación de las aportaciones de la lingüística y de la TIM para enseñar eficazmente unidades fraseológicas en el aula de ele. Estas unidades léxicas complejas, que son de muy diverso tipo,[1] presentan una dificultad específica para quienes aprenden ele debido a la complejidad para que pueda comprenderse su significado y para lograr un uso pragmático satisfactorio de estas. Por dicha razón es necesario avanzar en metodologías y técnicas didácticas novedosas que faciliten su aprendizaje.
[1] La clasificación más completa de estas unidades se encuentra en García-Page (2008). Dentro de este amplio grupo de unidades fraseológicas se encuentran paremias como Hombre precavido vale por dos, fórmulas rutinarias como ¡Que vivan los novios!, frases hechas tipo A cuerpo de rey, etcétera.