bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bacterial Decomposition of Spirulina Under Controlled Incubation Period
Authors: Jacob Jithu Paul , Senan Swapna C , Bhai Remani 
Published: January 2024

Abstract
The molecular diversity of commercially available brands of “Spirulina” supplements and the occurrence of other cyanobacterial and heterotrophic bacterial microorganisms in these products. Since there are no reports of bacteria that causing decaying of spirulina shown elsewhere, a microbiological examination of spirulina degradation was performed. The isolated bacteria from the collected samples were screened for the production of enzymes in agar plate assay. Bacteria content comparing the natural as well as spirulina powder has been examined and found that both are predominated by proteobacterial group and found that many of the bacteria are absent in dry commercial powder.
Measuring Depressive Symptoms Among Latinos in the US: A Psychometric Evaluation of the CES-D Boston Form
Authors: Sahbaz Sumeyra , Montero-Zamora Pablo , Alpysbekova Aigerim , Salas-Wright Christopher P. , Pérez-Gómez Augusto , Mejía-Trujillo Juliana , Vos Saskia R. , Scaramutti Carolina , Brown Eric C. , Maldonado-Molina Mildred M. , Bates Melissa M. , Garcia Maria Fernanda , Duque Maria , Piñeros-Leaño María , Schwartz Seth J. 
Published: January 2024

Abstract

Purpose: We examined the extent to which depressive symptomatology measures operate across different Latino subgroups as there is inconsistency regarding its performance across Latinos, a large and rapidly growing cultural group in the United States.
Methods: We evaluated the reliability and structural validity of the scores generated by the Center for Epidemiologic Studies Depression Boston Form (CES-D-B) using four distinct Latino samples residing in US: Mexicans, Venezuelans, Cubans, and “other Latinos” (total N=1033). To further explore structural validity of CES-D-B scores, we conducted measurement invariance analyses across different countries of origin, gender groups, educational levels, and languages of assessment (English, Spanish).
Results: For all four samples, CES-D-B scores were highly reliable, and the factor structure had a good to excellent fit to the data. While measurement invariance analyses for different educational levels indicated scalar invariance across all samples, the same level of measurement equivalency was achieved only for Mexicans and Venezuelans with varying gender and languages of assessment.
Conclusions: The findings indicated that CES-D-B scores are internally consistent, possess a strong four-factor structure, and have somewhat equivalent psychometric properties across diverse Latino groups. Findings from this study highlight the importance of considering gender and languages of assessment when assessing depressive symptoms of various Latino subgroups.
Dual-mode platform for the rapid detection of Escherichia coli O157:H7 in foods based on CRISPR/Cas12a cleavage reaction, recombinant polymerase amplification, and lateral flow chromatography
Authors: Luo Jiawei , Xu Danhong , Wang Jinbin , Liu Hua , Li You , Zhang Yan , Zeng Haijuan , Deng Bo , Liu Xiaofeng 
Published: January 2024

Abstract

Background
Escherichia coli O157:H7 (E. coli O157:H7) is a foodborne pathogenic microorganism that is commonly found in the environment and poses a significant threat to human health, public safety, and economic stability worldwide. Thus, early detection is essential for E. coli O157:H7 control. In recent years, a series of E. coli O157:H7 detection methods have been developed, but the sensitivity and portability of the methods still need improvement.
Methods and Results
In this study, a rapid and efficient testing platform based on CRISPR/Cas12a cleavage reaction was constructed. Through the integration of recombinant polymerase amplification and lateral flow chromatography, we established a dual-interpretation-mode detection platform based on CRISPR/Cas12a-derived fluorescence and lateral flow chromatography for the detection of E. coli O157:H7. For the fluorescence detection method, the limits of detection (LODs) of genomic DNA and E. coli O157:H7 were 1.8 fg/µL and 2.4 CFU/mL, respectively, within 40 min. Conversely, for the lateral flow detection method, LODs of 1.8 fg/µL and 2.4 × 102 CFU/mL were achieved for genomic DNA and E. coli O157:H7, respectively, within 45 min.
Conclusions
This detection strategy offered higher sensitivity and lower equipment requirements than industry standards, and showed excellent specificity and strong universality. Modifying the target gene and its primers can broaden the platform’s applicability to detect various other foodborne pathogens.
Greedy control group selection for multi-explanatory multi-output regression problem
Authors: Szűcs Gábor , Németh Marcell , Kiss Richárd 
Published: January 2024

Abstract

The problem of multi-output learning involves the simultaneous prediction of multiple outputs based on given inputs. This paper focuses on addressing this challenge, assuming that we can only monitor a subset of variables. This resource constraint led to a definition of a new kind of problem, that we call Multi-Explanatory Multi-Output Regression (MEMOR) task. The goal of MEMOR is to select explanatory variables that minimize the prediction error for target variables. The central question pertains to the optimal choice of a given number of variables to maximize the goodness of the regression. We propose two greedy approaches for identifying good explanatory variables, along with a linear approximation as a baseline. To evaluate the performance of the proposed algorithms, we compared the resulting explanatory variables with the optimal set obtained through an exhaustive search. Our greedy algorithms surpass the linear method with better regression results, while they are faster than the exhausted method. Both the MEMOR problem and the methods developed for it are well-suited for multi-dimensional data analysis with resource constraints.
An Updated Lagrangian Particle Hydrodynamics (ULPH)-NOSBPD Coupling Approach for Modeling Fluid-Structure Interaction Problems
Authors: Wang Zhen , Xiong Junsong , Li Shaofan , Lai Xin , Liu Lisheng , Liu Xiang 
Published: January 2024

Abstract
In order to solve the fluid-structure interaction problem of Newtonian fluid, a fluid-structure interaction approach is proposed based on Non-ordinary State-based Peridynamics (NOSB-PD) and Updated Lagrangian particle Hydrodynamics (ULPH), to simulate the fluid-structure interaction problem in which large geometric deformation and material failure are considered. In the coupled framework, the NOSB-PD theory is used to describe the deformation and fracture of the solid material structure. ULPH is applied to describe the flow of Newtonian fluids due to its advantages in computational accuracy. The framework effectively utilizes the advantages of NOSB-PD theory for solving discontinuous problems and ULPH theory for solving fluid problems and has good computational stability and robustness. To deal with the interface of fluid structure, a fluid-structure coupling algorithm using pressure as the transmission medium is established. The dynamic model of solid structure and the PD-ULPH fluid-structure interaction model involving large deformation are verified by several numerical validations, which are in good agreement with the analytical solution, the available experimental data and other numerical results, that demonstrates the accuracy and effectiveness of the proposed method in solving the fluid-structure interaction problem. Overall, the fluid-structure interaction model based on ULPH and NOSB-PD established in this paper provides a new idea for the numerical solution of fluid-structure interaction and a promising approach for engineering design and experimental prediction.
Chaos intensity: Using Lyapunov exponent and uniformity to judge the intensity of mechanism chaos based on a planar slider–crank mechanism with multi-clearance joints
Authors: Li Hui , Run Mao , Song Pucha , Gu Yongping , Shu Yang 
Published: January 2024

Abstract
Mechanism chaos, a real nonlinear dynamic phenomenon arises from a mechanism with nonlinear characteristics, whose chaotic behavior can directly affect the performance of machinery. For general mechanism, it will cause undesired impact and vibration, furthermore, reducing the life span of the machine, and then it should be suppressed or controlled. For some special applications, however, it is beneficial to improve the performance of the mechanism, and then it should be excited or enhanced. In addition, there is a coupling of several nonlinear factors existing in the mechanism. In all these circumstances, it is necessary to establish a method to judge chaos intensity (MJCI). However, there has not been widely accepted and effective MJCI until now. To satisfy the need, this paper focuses on the establishment of MJCI. To verify the correctness of this method, Logistic mapping, Duffing chaotic oscillator, and Lorenz system are used. Finally, the MJCI is used to analyze the chaos intensity of a planar slider–crank mechanism with a single or two clearance joints, the results show that with the change of clearance sizes or driving speeds, the chaos intensity can be suppressed or excited, and the practicability of MJCI in mechanism is proved.
Framework for Benefit-Based Multiclass Classification of Diseases
Authors: Sooklal Shellyann , Hosein Patrick 
Published: January 2024

Abstract
Purpose:
Health datasets typically comprise of data that are heavily skewed towards the healthy class, thus resulting in classifiers erring towards this majority class. Due to this imbalance of data, traditional performance metrics, such as accuracy, are not appropriate for evaluating the performance of classifiers with the minority class (disease-affected). In addition, classifiers are trained under the assumption that the costs or benefits associated with different decision outcomes are equal. However, this is usually not the case with health data since there are different benefits/costs associated with the correct/incorrect identification of disease affected/unhealthy persons rather than healthy individuals. In this paper we address these problems by examining benefits/costs both when training and evaluating the performance of classifiers. Furthermore,we focus on multiclass classification where the outcome can be one of three or more options.
Methods:
We propose modifications to the Naive Bayes and Logistic Regression algorithms to incorporate costs and benefits when training for the multiclass scenario, as well as compare these to a recently proposed algorithm in the field, hierarchical cost-sensitive kernel logistic regression, and also an adapted hierarchical approach with our cost-benefit based logistic regression model. Wedemonstrate the effectiveness of all approaches for fetal health classification, vertebral column classification and hepatitis C/fibrosis/cirrhosis prediction.
Results:
Our proposed multiclass Logistic Regression algorithm outperformed all other algorithms, improving performance with the more critical classes.
Conclusion:
Our proposed multiclass Logistic Regression algorithm is robust and suitable for cases where costs and benefits of the various decision outcomes are important.
Impact of rehabilitation unit-based physical activity therapy versus symptomatic supportive treatment on older patients with advanced cancer: A non-randomized controlled study
Authors: lu xiaoqiong , Wei Shubao , Liang Benzi , Huang Cheng , Meng Weiwei , Chen Xiuqiong 
Published: January 2024

Abstract

Objectives: Relatively few studies have investigated the effects of rehabilitation-based exercise therapy as a treatment for older patients with advanced cancer. This study evaluated the effects of individualized precise and structured exercise interventions, prescribed by a rehabilitation physician, on fatigue and quality of life in older patients with advanced cancer.
Methods: After admission to the rehabilitation department, older cancer patients were divided into groups receiving conventional symptomatic supportive therapy (SST) or physical activity therapy plus conventional symptomatic supportive therapy (PAT). The SST group was given symptomatic supportive treatment, exercised on their own, and were observed at home after their symptoms improved. The PAT group was required to implement physical exercise along with SST, involving 30 min of moderate-intensity exercise per day and 5 days per week, and were discharged after 4 weeks and instructed to continue to exercise outside the hospital. Cancer-related fatigue (CRF) at 4 and 8 weeks was the primary endpoint of the study, while the secondary endpoints included patients’ quality of life (QOL) and exercise adherence.
Results: Sixty-five patients were included; 37 (56.92%) chose to enter the PAT group, and 28 (43.08%) chose to enter the SST group. After 4 and 8 weeks of treatment, CRF relief and QOL improvement were significantly better in the PAT group than in the SST group (p < 0.05), whereas global health status did not differ between the two treatment groups (T1: p = 0.84; T2: p = 0.92). Thirty-three patients (94.29%) completed the PAT exercise program. Only four (12.12%) patients achieved moderate-intensity exercise, while the other 29 (87.88%) patients were able to continue exercising after their exercise intensity was decreased.
Conclusions: Implementation of precise and individualized exercise interventions, prescribed by the rehabilitation team, can lead to the reduction of CRF and improvement of QOL.
Identification, evolution and expression analysis of the UDP-glycosyltransferase gene family in grape (Vitis vinifera L.)
Authors: Hou Wenhang , Chen Chongyao , Yang Xiaoyu , Liu Wei , He Na , Tan Min , He Jinyu , Liu Zhenghai , Dong Zhigang 
Published: January 2024

Abstract
Uridine diphosphate glycos-yltransferases (UGTs) are involved in the process of glycosylation modification and play an important role in plant growth and development, secondary metabolism and stress responses. Here, a systematic genome-wide analysis of UGT family was conducted to investigate their important functions in grape. In total, 181 VvUGTs were identified and unevenly distributed on 18 chromosomes. These UGT genes were clustered into 17 major groups (A-P, R) based on phylogenetic analysis, supported by conserved gene organization and consensus motifs. Cis-acting elements analysis of the VvUGT genes indicated their potential roles in plant development and responses to various stresses. Collinearity analysis showed that segmental duplication and tandem duplication events had significant effects on the evolution of VvUGT gene family. In addition, genes related to secondary metabolic processes were screened by KEGG and GO enrichment analysis. Expression profiles displayed distinct expression patterns of VvUGT genes in different tissues, fruits development stages, as well as in response to various stress. Overall, these findings lay an important foundation for further functional dissection of VvUGTs and genetic improvement of V. vinifera.
Spectroscopic evaluation of gold nanoparticles-imbued Dy 3+ -doped Li 2 CO 3 –SrO–ZnO– B 2 O 3 glasses: White solid-state lighting potential
Authors: Ahmad A. U. , Yam F. K. , Hashim S. , Ghoshal S. K. , Abdulhameed A. 
Published: January 2024

Abstract

This paper reports the white solid-state lighting potential of gold nanoparticles-imbued Dy3+-doped Li2CO3–SrO–ZnO–B2O3 glasses prepared using melt quenching. The produced materials undergo characterizations using various instrumentations to access the sensitivity of changing AuNP concentrations on their emission and colorimetric characteristics. XRD phase analysis established that the samples were glasses. TEM analysis shows AuNPs, whereas EDX spectroscopic analysis confirmed the inclusion of precursor elements into the glasses. The thermal stability, Hruby parameter, and glass-forming ability are 146 to 156 oC, 1.27 to 1.39, and 66-0.65, respectively. The optical absorption spectra of the glasses are consistent with Dy3+ transitions, while the surface plasmon resonance band fits the AuNPs characteristics band. The emission spectroscopic analysis reveals 1.52, 1.84, and 1.14 intensification for 6H15/2, 6H13/2, and 6H11/2 transitions. The Judd-Ofelt evaluation was made to support the experimental spectroscopic data. The CIE coordinates were traced to the cool white colour field with a purity of 15.64-7.79 % and CCT values of 5491-5437 K. The excellent thermal properties, enhanced emission, and improved colorimetric properties such as colour purity and natural daylight (cool) CCT values were due to the inclusion of AuNPs in the proposed glasses, which may be helpful in white solid-state lighting applications.
Generalized Schröder-type functional equations for Galton–Watson processes in random environments
Authors: Kutsenko Anton A. 
Published: January 2024

Abstract
The classical Galton–Watson process works with a fixed probability of fission at each time step. One of the generalizations is that the probabilities depend on time. We consider one of the most complex and interesting cases when we do not know the exact probabilities of fission at each time step-these probabilities are random variables themselves. The limit distributions of the number of descendants are described in terms of generalized integral and differential functional equations of the Schröder type. There are no more analogs of periodic Karlin-McGregor functions, which were very helpful in the analysis of the asymp-totic behavior of limit distributions for the classical case. We propose some approximate asymptotic methods. Even simple cases of random families with one or two members lead to nice asymptotics involving, interesting problems related to special functions and special constants. One of them, Example 2 is already announced on this 1 and this 2 sites. Finally, the phenomenon of why the oscillations in the main asymptotic term usual for the classical case become rare in the case of random environments is discussed.
Feasibility and safety study of the use of a new robot (Maestro™) for laparoscopic surgery.
Authors: Cadière Guy-Bernard , Himpens Jacques , Poras Mathilde , Boyer Nicolas , Cadière Benjamin 
Published: January 2024

Abstract
1. Background
The emergence of laparoscopic surgery marked a significant progress in minimally invasive surgical techniques, despite definite shortcomings in terms of vision and exposure control. Telerobotic systems like Da Vinci™ were developed to enhance surgical control but created new limitations such as the separation of the operating surgeon from the operating table, learning curve, cost, and size. A new device, Maestro™, appears promising in addressing these limitations. This present work evaluates the feasibility, safety and satisfaction of the surgeon with the assistance provided by the Maestro System in standard elective minimally invasive digestive laparoscopic procedures.
2. Methods
The current study aims at presenting the initial experience with the Maestro System in common elective digestive laparoscopic procedures performed in humans (50 individuals).
3. Results
All 50 procedures were completed successfully. No significant complications related to the use of the Maestro System were recorded.
4. Conclusion
The use of the Maestro System in common digestive elective laparoscopic procedures is feasible and safe. The surgeon is satisfied in 92% with the assistance provided by the Maestro System.
The effects of nucleation and species functional traits on tree seedling performance in the early stage of ecological restoration
Authors: Manhães Adriana P. , Amazonas Nino T. , Pansonato Marcelo P. , Sansevero Jerônimo B. B. , Martini Adriana , Mantuano Dulce 
Published: January 2024

Abstract
The initiation of a new plant community in a restoration area hinge on the performance of seedlings post-planting. This study aimed to evaluate the impact of species functional traits—specific leaf area (SLA), wood density (WD), seed dry mass (SDM), and potential height (H)—on the seedling performance after 18 months of planting, comparing two planting designs (rows and clusters) and the influence of fertilization addition in clusters. The restoration area is a riparian tropical forest located at Caraguatatuba municipality, São Paulo, Brazil. We monitored 3,017 tree seedlings and estimated their survivorship and relative growth rate (RGR) using the diameter, height, and canopy area of the surviving seedlings and the stem biomass for the cluster RGR estimation. Using linear mixed models, we analyzed how the planting designs and the functional traits affect species survival and their RGR. We underscored the significance of slow-growth traits (low SLA, and high SDM and WD) in enhancing species survival, irrespective of the planting design. Whereas, maximizing species growth entails prioritizing seedlings with greater potential height. Cluster survival and growth improved with a greater abundance of species with low values of SDM (i.e., fast-growth species) and low functional divergence (high similarity). Fertilized clusters improved the RGR of slow-growth species. Including functional traits in restoration is advantageous for enhancing seedling performance at the species level, which is an important consideration for restoration practitioners. To optimize applied nucleation, clusters should target functional diversity at this community level to prevent the dominance of competitive species.
A Multidimensional Exploration of Narcissistic Personality Disorder through Psycholinguistic Analysis and Neuroscientific Correlates
Authors: Elleuch Dalia 
Published: January 2024

Abstract
Narcissistic Personality Disorder (NPD) manifests as a personality disorder marked by an inflated self-importance, heightened sensitivity to criticism, a lack of empathy, a preoccupation with appearance over substance, and features such as arrogance, grandiosity, a constant need for admiration, a tendency to exploit others, and an inclination towards demanding special treatment due to a sense of excessive entitlement. This interdisciplinary study delves into the intricate landscape of NPD through the systematic synthesis of psycholinguistic analysis and neuroscientific correlates. The cognitive and emotional dimensions of NPD reveal linguistic patterns, including grandiosity, entitlement, and manipulative communication. Neuroscientific investigations reveal structural brain differences and alterations in functional connectivity, further explaining the neural underpinnings of social cognition deficits observed in individuals with NPD. Genetic predispositions and neurotransmitter imbalances add a layer of complexity to the understanding of NPD. The necessity for linguistic intervention in diagnosing and treating Narcissistic Personality Disorder is underscored by an interdisciplinary study that intricately synthesizes psycholinguistic analysis and neuroscientific correlates, offering a comprehensive understanding of NPD's cognitive, emotional, and neural dimensions and paving the way for future practical, theoretical, and pedagogical approaches to address the complexities of this personality disorder.