bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact on the environment resulting from the incorporation of the "48-Hour Fasting" regimen as a novel dietary practice in the current context of energy, illustrated through the case of Morocco
Authors: Othmane Echarradi , Fahoume Mounir 
Published: March 2024

Abstract
Confronted with the myriad challenges currently confronting the world, or those that may emerge in the very near future, pressing questions are emerging from the minds of all those with benevolent intentions. These inquiries primarily revolve around issues related to energy and the environment, extending to the food security of around 8 billion human beings on Earth. Given the gravity of these overarching threats, decisive and immediate action is imperative. Although a wealth of ideas exists, the crux lies in the amalgamation of these ideas and a genuine commitment on our part, serving as the key to a future that is less shrouded in uncertainty. It is within this framework that this work underscores the potential of a highly specific dietary approach in mitigating the detrimental impact of human activity on planet Earth. While this study may depict a form of objectification of human beings, possibly prompting individuals to idealize themselves and pursue exceptionally challenging goals, it also serves as a powerful symbol of the right to information. Its purpose is to raise public awareness of such realities. This study emphasizes the need for an open-minded approach and, crucially, underscores the importance of medical expertise, as human health is inherently complex and varies on a case-by-case basis, extending beyond mere statistical analysis.
Study the effects of machining parameters on the surface characteristics of aluminum-magnesium alloy with different nose radiuses
Authors: Aljaly Khaled Abd alwahab 
Published: March 2024

Abstract

The main objective of this study is to optimize the CNC turning parameters that give the fine surface characteristics of aluminum-magnesium alloy (AlMg3). Optimization has been conducted using the response surface methodology. Experiments were carried out on a Samsung PLA25 CNC machine. Three PVD-coated insert cemented carbide cutting tools with nose radiuses were used. The influence on the machining responses of various machining parameters such as the cutting speed, the feed rate, and the depth of cut were examined. In mechanical machining and workpiece surface finish, tool geometry is crucial. the three variables cutting speed (B = 500, 700, and 900 rpm), feed rate (A = 0.3, 0.5, and 0.7 mm/rev), and depth of cut (C = 0.5, 1.0, and 1.5 mm). are known to have a major impact on surface quality, as well as the tool nose radius. An understanding of these ideal parameters would make it easier to save machining costs and enhance surface quality. The Taguchi method was used for the optimization of machining experiments based on a full factorial design, to determine three different parameters and levels, by using orthogonal arrays. The initial objective of this study is to find the optimum parameters based on the best combination (A, B, C) feed rate, cutting speed, and depth of cut of each nose radius used. Therefore, which of these parameters has the greatest influence on surface roughness.
OSTM-CFAR Detector in Heterogeneous Pareto type II Radar Clutter
Authors: Zebiri Khaled , Mezache Amar 
Published: March 2024

Abstract
In this paper, we propose a non-coherent CFAR decision rule named OSTM-CFAR (Order Statistic Trimmed Mean Constant False Alarm rate) detector in a Pareto type II clutter with unknown scale and shape parameters. This is obtained after adequate selection of two scale invariant functions in the general hypothesis test. The resulting test statistic provides rapid calculation because is independent of any estimation method or numerical integration. Through simulated and real data, CFAR properties of suggested CFAR detector are maintained against both scale and shape parameters of clutter model. Besides, detection probability of both OSTM-CFAR and Bayesian-CFAR procedures are sketched together where the proposed one demonstrates its superiority in presence of interfering targets.
Prognostic impact and immunotherapeutic implications of NETosis-related prognostic model in clear cell renal cell carcinoma
Authors: Mao Xingjun , Huang Wen , Xue Qing , Zhang Xiaolei 
Published: March 2024

Abstract

Background
The ramifications of necroptosis on the prognostication of clear cell renal cell carcinoma (ccRCC) remain inadequately expounded.
Methods
A prognostic model delineating the facets of necroptosis in ccRCC was constructed, employing a compendium of algorithms. External validation was effectuated using the E-MTAB-1980 dataset. The exploration of immune infiltration scores was undertaken through the exploitation of multiple algorithms. Single-gene RNA sequencing data were procured from the GSE171306 dataset. Real-time quantitative PCR (RT-qPCR) was engaged to scrutinize the differential expression of SLC25A37 across cancer and paracancer tissues, as well as diverse cell lines. Assessments of proliferative and metastatic alterations in 769-P and 786-O cells were accomplished through Cell Counting Kit-8 (CCK8) and wound healing assays.
Results
The necroptosis-related signature (NRS) emerges as a discerning metric, delineating patients' immune attributes, tumor mutation burden, immunotherapy response, and drug susceptibility. Single-gene RNA sequencing analysis unveils the marked enrichment of SLC25A37 in tumor cells. Concurrently, RT-qPCR discloses the overexpression of SLC25A37 in both ccRCC tissues and cell lines. SLC25A37 knockdown mitigates the proliferative and metastatic propensities of 769-P and 786-O cells, as evidenced by CCK8 and wound healing assays.
Conclusion
The NRS assumes a pivotal role in ascertaining the prognosis, tumor mutation burden, immunotherapy response, drug susceptibility, and immune cell infiltration features of ccRCC patients. SLC25A37 emerges as a putative player in immunosuppressive microenvironments, thereby providing a prospective avenue for the design of innovative immunotherapeutic targets for ccRCC.
A fourth-order nonlinear equation studied by using amultivariate bilinear neural network method
Authors: Zhang Zhen-Hui , Liu Jian-Guo 
Published: March 2024

Abstract
In this work, a more accurate analytical solution of nonlinear par-tial differential equation is sought by setting the generalized activation func-tion in the model of multiple bilinear neural network method. As an example,the 3-2-2-1, 3-2-3-1, 3-3-2-1 and 3-3-3-1 models are selected to study the new(2+1) dimensional nonlinear wave equation equations. Exact analytical so-lutions with arbitrary activation functions are obtained by selecting differentactivation functions and the dynamical properties are demonstrated throughthree-dimensional, two-dimensional and density plots.
2010 Mathematics Subject Classification: 35Q51, 35G99, 33F10
Development and External Validation of a Nomogram to Predict Prognosis of Patients With Urothelial Carcinoma of Bladder
Authors: Wei Jufang , Wei Chunmeng , Chen Juan , Zhao Wenpiao , Zhang Xianhui 
Published: March 2024

Abstract
Background
This research aimed to create and validate nomogram predicting overall survival (OS) for urothelial carcinoma of the bladder (UCB) patients.
Methods
We sourced 15,606 UCB patients diagnosed between 2004 and 2015 from the Surveillance, Epidemiology, and End Results database. The patients were randomized into training (70%) and internal validation (30%) cohorts. In addition, 122 patients from Minzu Hospital of Guangxi Zhuang Autonomous Region between 2012 and 2022 were selected as the external validation cohort. Utilizing univariate and multivariate Cox regression analyses, we devised nomograms forecasting 1-, 3-, and 5-year OS. Several metrics, including the consistency index (C-index), calibration plots, area under the receiver operator characteristics (ROC) curve, and decision curve analysis (DCA) were used to validate the validity and clinical utility of the model. Patients were categorized into high- and low-risk profiles, and their survival outcomes were contrasted using the Kaplan-Meier method and the log-rank test.
Results
Age, marriage, AJCC stage, tumor size, surgery, and chemotherapy were identified as predictors of OS. In the training cohort, internal validation cohort and external validation cohort, the nomogram for predicting OS achieved C-index values of 0.718 (95% CI: 0.712–0.724), 0.714 (95% CI: 0.704–0.724), and 0.725 (95% CI: 0.641–0.809), respectively. In all cohorts, the calibration plots revealed high consistency between actual and predicted values. The nomogram depicted by ROC and DCA showcased superior stability, predictive value, and clinical applicability for 1, 3-, and 5-year OS. The risk stratification delineated patients into low- and high-risk brackets, revealing significant prognostic distinctions (P < 0.05).
Conclusions
Based on the SEER database and Chinese data, we developed a reliable nomogram forecasting 1-, 3-, and 5-year OS for UCB patients. The model can identifie high-risk patients, aiding clinicians in personalised treatment and prognostic evaluations.
Acute thrombosis of ductus arteriosus aneurysm causing pulmonary artery occlusion in a neonate
Authors: Xie Wen , Chen Zewen , Zhuang Jian , Chen Jimei , Cui Hujun , Zang Xin 
Published: March 2024

Abstract

A 9-day-old male neonate was admitted to our hospital because of an incidentally detected systolic murmur in his regular visit for skin jaundice at a local hospital. Echocardiography showed a large irregular mass located at the bifurcation of the main pulmonary artery (MPA), protruding into the lumen, causing bilateral stenosis and increasing flow velocity, with left PA of 3 m/s and right PA of 3.2 m/s, respectively (Panel A). Cardiac computed tomography (CT) revealed that the mass had homogenous density without contrast enhancement, making it difficult to distinguish from the surrounding thymus tissue (Panel B). For further evaluation, cardiac magnetic resonance (MR) was performed, demonstrating a well-defined lesion (approximately 20 mm × 9 mm) with a filling defect situated between the MPA and the descending aorta (DAO), The lesion was suspected to originate from the ductus arteriosus.
Fine mapping of BhDDL4.1, a major gene controlling the regulation of the deeply lobed leaf trait in wax gourd (Benincasa hispida)
Authors: Bai Wenhui , Wang Peng , Deng Yan , Chen Zhihao , Su Liwen , Cheng Zhikui , Yang Wenrui , Liu Ting , Nong Lifeng , Yang Xiping , Liu Zhengguo 
Published: March 2024

Abstract

Lobed leaves play a vital role in high-density cultivation and breeding of wax gourd. Thus, determining the molecular mechanisms underlying the development of lobed leaves is important. To this end, in this study, we aimed to resequence 105 recombinant inbred lines, constructed using the parental lines, GX-7 and my-1, to elucidate the molecular mechanisms underlying leaf development in wax gourd (Benincasa hispida). Genes associated with lobed leaves in wax gourds were first evaluated via quantitative trait loci (QTL) mapping. Next, the F2 population was expanded to 2,000 plants for fine mapping and candidate gene analyses. Thus, the candidate area is reduced to 1.129 Mb, located between the markers InDel980 and InDel853. Functional analyses of candidate genes were performed using gene functional annotation, coding sequence analyses, and expression analyses. Among 48 genes in the candidate region, only Bch04G012650 (termed BhDDL4.1) showed differences in expression between two parents. Using sequence differences of previously screened candidate genes, an InDel marker (InDel623) was developed in BhDDL4.1 for molecular marker-assisted breeding of wax gourd, and the accuracy rate was 74.03%. Our results indicate that BhDDL4.1 may play a key role in regulation of the lobed leaf trait; thereby, we provided a theoretical basis for further exploration of the molecular mechanisms underlying the lobed leaf trait in wax gourds.
Multi-Neighborhood Simulated Annealing for the Home Healthcare Routing and Scheduling Problem
Authors: Ceschia Sara , Gaspero Luca Di , Rosati Roberto Maria , Schaerf Andrea 
Published: March 2024

Abstract

Purpose: Over time, the focus on supportive and geriatric care has shifted from being predominantly provided in institutional settings like nursing or rest homes to be delivered within the homes of the patients. Trained caregivers now provide home healthcare services by visiting patients in their own homes and carrying out specific services based on each patient's individual needs before moving on to the next patient. Planning such a service involves considering the routing aspect and ensuring synchronization between services and designated time windows for patients.
Methods: To solve the problem, we propose a local search approach that combines different neighborhood operators guided by the Simulated Annealing metaheuristic. Additionally, we introduce a realistic and diverse dataset and a robust and flexible file format based on JSON. This dataset and format have the potential to facilitate future comparisons and analyses.
Results: Our study shows that by appropriately tuning our algorithm in a statistically rigorous manner, it outperforms existing methods on all benchmarks.
Comparative Analysis and Control Design of Two Non-Isolated DC-DC Converters With High Reduction Ratio
Authors: J. Rodriguez-Cortes Christopher. , R. Martinez-Rodriguez Panfilo , M. Sosa-Zuniga Jose , Diego Langarica-Cordoba , Rafael Cisneros-Montoya , Gerardo Vazquez-Guzman , David Reyes-Cruz 
Published: March 2024

Abstract

In this paper, two step-down converters with a high reduction ratio based on the concept of switched inductors and switched capacitors are analyzed, modeled, and controlled. These topologies can achieve a high voltage step-down ratio compared to a conventional buck converter. The proposed topologies have the same conversion ratio in terms of the duty cycle, however, they have different operating principles and thus, different design, modeling, and control strategies must be followed. Therefore, the guidelines for the design of these type of converters are proposed here. Furthermore, to show the benefits of selected topologies, a comparison between them and other topologies with similar voltage ratios is presented. The comparison is carried out regarding the number of semiconductors, number of passive elements and switch electrical stress. Besides, model-based control strategies are proposed for both converters. The modeling process yields a second-order system for the switched-inductor based converter structure; and a fourth-order system for the switched-capacitor based converter. Based on these models, control laws are designed resulting in multi-loop controllers, formed by inner and outer control loops. These control schemes are aimed to guarantee output voltage regulation and therefore, zero steady-state error of the states in each system. Finally, the performance of the proposed control strategies and converters is evaluated on an experimental setup.
Combination of Density-Based Spatial Clustering of Applications with Noise Method with Grid Search to Improve Complexity Using Nash Equilibrium
Authors: Kazemi Uranus , Soleimani Seyfollah 
Published: March 2024

Abstract

One of the important issues in data processing is clustering, the purpose of which is to find similar patterns in the data. Many clustering methods differ in their approaches and similarities. The density-based spatial clustering of applications with noise (DBSCAN) clustering method is one of the most practical density-based clustering methods that can identify training samples with different shapes, and for this reason, it has many applications in different fields. Although this method has its advantages, it has some weaknesses, such as the lack of proper performance in big data, the difficulty of determining Epsilons (Eps) and the Minimum number of points (Minpts) parameters for optimal clusters, etc. To solve these problems, in this paper, a dynamic method is used to solve the problem of identifying clusters with different densities, and another method is used to increase the speed of the algorithm and reduce the computational complexity. Testing the new method on several sets of data shows that the proposed method has a high efficiency in clustering and outperforms the density-based spatial clustering of applications with noise (DBSCAN) method in terms of complexity and efficiency.
Analyzing the Losses and Gains of a Land Category: Insights from the Total Operating Characteristic
Authors: Bilintoh Thomas Mumuni , Pontius Robert Gilmore , Liu Zhen 
Published: March 2024

Abstract
This manuscript provides guidance concerning how to use the Total Operating Characteristic (TOC) when 1) analyzing change through time, 2) ranking a categorical independent variable, and 3) constraining the extent for a gaining category. The illustrative variable is the marsh land cover category in the Plum Island Ecosystems of northeastern Massachusetts, USA. The data are an elevation map and maps showing land categories water, marsh, and upland at 1938, 1971, and 2013. Marsh lost and gained during 1938 − 1972 and 1972 − 2013 near the edge of marsh. TOC curves show that marsh gained most intensively at intermediate elevations during the first time interval and then had a weaker association with elevation during the second time interval. Marsh gains more intensively from water than from upland during both time intervals. The TOC curves also demonstrate that marsh gains occur where marsh previously lost, a phenomenon called Alternation. Furthermore, eliminating far distances and extreme elevations from the spatial extent decreased the area under the curve (AUC) for distance and increased the AUC for elevation. We invite scientists to use the TOC because TOC is easier to interpret and shows more information than the Relative Operative Characteristic.
Frailty in Patients With IDH-Mutant Gliomas: Experience from a High-Volume Tumor Center
Authors: Bray David P. , Stubbs Nolan M. , Chow Jocelyn , Jahangiri Arman , Nduom Edjah K. , Olson Jeffrey J. , Hoang Kimberly B. 
Published: March 2024

Abstract

Purpose
Gliomas are increasingly diagnosed in an aging population, with treatment outcomes influenced by factors like tumor genetics and patient frailty. This study focused on IDH-mutant gliomas and assessed how frailty affects 30-day readmission and overall survival (OS). We aimed to address a gap in understanding the impact of frailty on this specific glioma subtype.
Methods
136 patients with an IDH mutant glioma between 2007 and 2021 were identified at our institution. High frailty was classified by scores ≥ 1 on the 5-factor modified frailty index (mFI-5) and ≥ 3 on the Charlson Comorbidity Index (CCI). Patient and tumor characteristics including age, sex, race, Karnofsky Performance Status (KPS), Body Mass Index (BMI), tumor type and location, type of operation, and therapy course were recorded. Outcomes measured included 30-day readmission and overall survival (OS). Analysis was conducted utilizing logistic regression and Kaplan–Meier curves.
Results
Of the 136 patients, 52 (38%) had high frailty: 18 with CCI ≥ 3, 34 with mFI-5 ≥ 1. High frailty correlated with increased BMI (CCI: 30.2, mFI-5: 30.1 kg/m2), more neurological deficits (CCI: 61%, mFI-5: 56%), and older age at surgery (CCI: 63, mFI-5: 48 years). Hospital readmission within 30 days occurred in 8 (5.9%) patients. Logistic regression indicated no significant difference in 30-day readmission rates (CCI: p = 0.30, mFI-5: p = 0.62) or median OS between high and low frailty groups. However, patients treated at our institution with newly diagnosed tumors with high mFI-5 had a 6.79 times higher adjusted death hazard than those with low mFI-5 (p = .049).
Conclusion
Our analysis revealed that CCI and mFI-5 were not significantly associated with 30-day nor OS. However, in patients with non-recurrent tumors, there was a significant association of mFI-5 with OS. Further study of frailty with larger cohorts is warranted to enhance prognostication of outcome after neurosurgical treatment.
Chemical composition, antimicrobial and antioxidant activities of broccoli, kale, and cauliflower extracts
Authors: Radünz Marjana , Camargo Taiane Mota , Raphaelli Chirle Oliveira , Radünz André Luiz , Gandra Eliezer Ávila , Zavareze Rosa 
Published: March 2024

Abstract
The consumption of Brassica has been associated with a decrease in chronic non-communicable diseases. The objective of the study was to evaluate the chemical composition, antioxidant, and antimicrobial potential of broccoli, kale, and cauliflower extracts. The extracts were prepared, and characterized, and the antioxidant potential was evaluated against three the radicals while the antimicrobial potential was analyzed by three techniques against four bacteria. Extracts present in their composition glucosinolates and phenolic compounds. The inhibition of the radical 2,2-diphenyl-1-picrilhidrazil was high in all extracts. The broccoli and cauliflower extracts showed inhibition activity of hydroxyl radicals and nitric oxide. The disk diffusion showed that the broccoli and cauliflower extract were active against three bacteria, while the kale extract showed active halos for gram-negative bacteria. Kale extract had an inhibitory effect against gram-positive bacteria, the cauliflower extract only inhibited the growth of Staphylococcus aureus. Thus, the extracts have a beneficial action for health.
H\"ormander type theorem for multilinear Pseudo-differential operators
Authors: Heo Yaryong , Hong Sunggeum , Yang Chan Woo 
Published: March 2024

Abstract
We establish a H\"{o}rmander type theorem for the multilinear pseudo-differential operators, which is also a generalization of the results in \cite{MR4322619} to symbols depending on the spatial variable. Most known results for multilinear pseudo-differential operators were obtained by assuming their symbols satisfy pointwise derivative estimates(Mihlin-type condition), that is, their symbols belong to some symbol classes $n$-$\mathcal{S}^m_{\rho, \delta}(\mathbb{R}^d)$, $0 \le \delta \le \rho \le1$, $0 \le \delta<1$ for some $m \le 0$. In this paper, we shall consider multilinear pseudo-differential operators whose symbols have limited smoothness described in terms of function space and not in a pointwise form(H\"ormander type condition). Our conditions for symbols are weaker than the Mihlin-type conditions in two senses: the one is that we only assume the first-order derivative conditions in the spatial variable and lower-order derivative conditions in the frequency variable, and the other is that we make use of $L^2$-average condition rather than pointwise derivative conditions for the symbols. As an application, we obtain some mapping properties for the multilinear pseudo-differential operators associated with symbols belonging to the classes $n$-$\mathcal{S}^{m}_{\rho,\delta}(\mathbb{R}^{d})$, $0 \le \rho \le 1$, $0 \le \delta<1$, $m \le 0$. Moreover, it can be pointed out that our results are applied to wider classes of symbols which do not belong to the traditional symbol classes $n$-$\mathcal{S}^{m}_{\rho,\delta}(\mathbb{R}^{d})$.
2010 Mathematics Subject Classification. Primary 42B20, Secondary 42B15.