bluuebunny/crossref_metadata_2025_split huggingface dataset:
Parametric sensitivity analysis of precursor generated inflow profiles including atmospheric stability for RANS-based ABL microscale wind simulations
Authors: Hågbo Trond-Ola , Venkatraman Kartik , Buckingham Sophia 
Published: September 2023

Abstract
Atmospheric thermal stability significantly influences global circulation patterns and local weather. However, microscale wind simulations often rely on idealized atmospheric boundary layer (ABL) inlet profiles that inadequately consider this essential factor. Addressing this limitation, this study provides a tool for generating realistic ABL inflow profiles by conducting a comprehensive parametric investigation. Utilizing a computational fluid dynamics (CFD) precursor model that incorporates surface heat fluxes, the study analyzes the impact of various meteorological, atmospheric, and geographic parameters on ABL wind profiles. These include factors such as ground heating/cooling, atmospheric pressure differences, roughness length, latitude, and the number of iterations, with assessments across different atmospheric stabilities. More than a hundred RANS-based precursor simulations were conducted to systematically examine the effects of these parameters on ABL wind profiles. The results reveal that certain parameters have clear and straightforward effects on the wind profiles, while others exhibit more complex dependencies on atmospheric stability. The findings offer practical guidelines for the creation of realistic inflow profiles in microscale wind simulations, thereby contributing to more accurate predictions in applications such as wind farm design, pollutant dispersion studies, and urban wind assessments.
Oral esketamine in patients with treatment-resistant depression: a double-blind, randomized, placebo-controlled trial with open-label extension
Authors: Smith-Apeldoorn Sanne , Veraart JKE , Kamphuis Jeanine , Spijker Jan , Meij Annemarie van der , Asselt Antoinette van , Rot Marije aan het , Schoevers Robert 
Published: September 2023

Abstract
About one-third of patients with depression do not achieve adequate response to current treatment options. Although intravenous and intranasal administrations of (es)ketamine have shown antidepressant properties, their accessibility and scalability are limited. We investigated the efficacy, safety, and tolerability of generic oral esketamine in patients with treatment-resistant depression (TRD) in a randomized placebo-controlled trial with open-label extension. This study consisted of 1) a six-week fixed low-dose treatment phase during which 111 participants received oral esketamine 30 mg or placebo three times a day; 2) a four-week wash-out phase; and 3) an optional six-week open-label individually titrated treatment phase during which participants received 0.5 to 3.0 mg/kg oral esketamine two times a week. The primary outcome measure was change in depressive symptom severity, assessed with the Hamilton Depression Rating Scale (HDRS17), from baseline to 6 weeks. Fixed low-dose oral esketamine when compared to placebo had no benefit on the HDRS17 total score (p=0.626). Except for dizziness and sleep hallucinations scores, which were higher in the esketamine arm, we found no significant difference in safety and tolerability aspects. During the open-label individually titrated treatment phase, the mean HDRS17 score decreased from 21.0 (SD 5.09) to 15.1 (SD 7.27) (mean difference -6.0, 95% CI -7.71 to -4.29, p<0.001). Our results suggest that fixed low-dose esketamine is not effective in TRD. In contrast, individually titrated higher doses of oral esketamine might have antidepressant properties.
Native and freeze-dried bacterial nanocellulose as techno-functional ingredients of low-fat meat emulsions
Authors: ML Balquinta , Marchetti Lucas , Cecilia Andrés Silvina , Lorenzo Gabriel 
Published: September 2023

Abstract
The new habits of consumers related to healthier nutritious foods are driving the development of functional foods. The development of low-fat meat products with a healthier lipid profile implies doing it without solid fats which affects their quality characteristics. Hydrocolloids could be included to mimic their textural attributes. Bacterial nanocellulose (BNC), is gaining keen interest in multiple industrial applications. During the thermal treatment of the batters, typical mechanical spectra, with a sharp increase in G' related to the sol-gel transition were observed. However, batters with d-BNC reached higher elastic moduli than those with n-BNC, possibly due to the water availability in the system. Cooked products presented a characteristic solid-like behavior, with the elastic modulus gradually increasing with the hydrocolloid content. All formulations showed high process yields without significant differences among them. Water retention capacity significantly increased with both BNC only at intermediate concentrations. Hardness, cohesiveness, and chewiness increased with BNC level. Micrographs of the meat systems showed that d-BNC led to a finer and more homogeneous microarchitecture, while n-BNC aggregated in hollows of the meat protein network. Additionally, the Pickering effect of dried-BNC, produced meat emulsions with smaller oil droplets, is in agreement with the differences in lightness detected. Thus, BNC is an effective hydrocolloid for improving the techno-functional properties of low-fat meat products. The results suggest that freeze-dried BNC is a more convenient and effective option for the food industry due to its low weight, longer storage period, and easy handling, compared to native BNC.
Integrated transcriptomic and WGCNA analyses reveal candidate genes regulating mainly flavonoid biosynthesis in Litsea coreana var. sinensis
Authors: Xie Na , Guo Qiqaing , Li Huie , Yuan Gangyi , Gui Qin , Xiao Yang , Liao Mengyun , Yang Lan 
Published: September 2023

Abstract
Litsea coreana var. sinensis is a popular ethnic herb and beverage plant known for its high flavonoid content, which has been linked to a variety of pharmacological benefits and crucial health-promoting impacts in humans. The progress in understanding the molecular mechanisms of flavonoid accumulation in this plant has been hindered due to the deficiency of genomic and transcriptomic resources. We investigated the presence of four valuable flavonoids—quercetin-3-O-β-D-galactoside, quercetin-3-O-β-D-glucoside, kaempferol-3-O-β-D-galactoside, and kaempferol-3-O-β-D-glucoside in 98 samples, using high-performance liquid chromatography. In addition, we utilized Oxford Nanopore Technology (ONT) sequencing to derive full-length transcriptome sequences. Subsequent ONT sequencing yielded a total of 126,977 unigenes, of which 107,977 were successfully annotated in seven public databases. Within the annotated unigenes, 3,781 were categorized into 58 transcription factor families. A weighted gene co-expression network analysis identified two co-expression modules, MEpink and MEturquoise, that showed strong positive correlation with flavonoid content. Within these modules, four transcription factor genes (R2R3-MYB, NAC, WD40, and ARF) and four key enzyme-encoding genes (CHI, F3H, PAL, and C4H) emerged as potential hub genes. Among them, the R2R3-MYB (LcMYB123) as a homologous gene to AtMYB123/TT2, was speculated to play a significant role in flavonol biosynthesis based on phylogenetic construction. Our findings provided a theoretical foundation for further research into the molecular mechanisms of flavonoid biosynthesis, as well as a valuable resource for novel gene identification and genetic improvement in high-flavonoid L. coreana var. sinensis.
Propensity Score Estimation Using Neural Networks: A Comparison of DNN, CNN, and Logistic Regression
Authors: Kim Seungman , Lee Jaehoon , Jung Kwanhee 
Published: September 2023

Abstract
Background
Observational studies serve as an alternative to randomized experiments, but they can introduce selection bias. Propensity score (PS) methods address this issue by balancing covariates between groups. For the best estimation of PS, all possible and important covariates should be included in the estimation model. However, if too many covariates are included in the estimation model, problems may occur due to the high dimensionality. As the solution, many studies suggested neural networks for high-dimensional data.
Methods
This study utilized a deep neural network(DNN) and a convolutional neural network (CNN) for PS estimation, which can algorithmically handle nonlinear relationships and interactions of covariates. A simulation was conducted to examine the performance of the DNN and CNN in comparison to logistic regression (LR).
Results
This study demonstrated that DNN and CNN are feasible and effective as PS estimators, outperforming LR in reducing bias. Specifically, while LR increased bias in the outcome by 17% and could only decrease 5% of covariate imbalance, DNN and CNN were capable of reducing 13% and 16% of bias in the outcome respectively, alongside diminishing 16% and 21% of covariate imbalance.
Conclusions
Although the application of neural networks requires specialized tools and additional system resources, they offer significant advantages when the precise estimation of treatment is essentially required with many covariates. However, we found that for reliable PS estimation using DNN and CNN, it is imperative to establish and adhere to proper error rate thresholds. Therefore, it is imperative to utilize these machine learning techniques for PS estimation judiciously until appropriate error rates are determined and methods for achieving these error rates are established.
Implementation of merger remedies in Indian Competition/Antitrust Law – Jurisprudential journey of the Competition Commission of India in the last decade
Authors: Gupta Devanshu 
Published: September 2023

Abstract
Remarkably, the Competition Commission of India (CCI) has never sought to block outright a proposed combination (acquisition, merger or amalgamation of enterprises/group). Rather, if the CCI finds after an investigation that a proposed combination would be likely to harm competition in one or more markets, its response is to impose conditions – “remedies” – on the deal. As in jurisdictions around the world, these conditions may be behavioral, structural, or some mix of the two (hybrid remedies); also as in other jurisdictions, structural conditions are in principal favored over behavioral, as typically not requiring ongoing monitoring of the merged firms. This paper, after discussing the most important provisions of the Indian Competition Act, places the CCI approach to merger remedies in the context of practices observed in other jurisdictions. It discusses the details of the remedies imposed in important merger investigations over the past ten years (2014-2023) and closes with recommendations for bringing the CCI remedies approach up to world best practices.
Assessment of quality of life in hispanic patients with vestibular disorders using EQ-5D 3L, VAS and Dizziness Handicap Inventory Questionnaire
Authors: Gómez-Roldan Alejandro , Robles José , Franco Isabela , Valencia Santiago , Vanegas-Munera Johanna , Castillo-Bustamante Melissa , Madrigal Jorge 
Published: October 2023

Abstract
Background: Vestibular disorders often lead to physical impairments, an increased risk of falls, elevated rates of anxiety and depression, and a significant reduction in quality of life (QoL).
While previous studies have consistently documented the adverse effects of vestibular disorders on QoL, limited research has employed uniform tools like the EQ-5D 3L to assess these effects across different vestibular conditions. This study aimed to bridge this gap by investigating Hispanic/Latin patients with acute, episodic and chronic vestibular disorders, using the EQ-5D 3L and VAS questionnaire and Dizziness Handicap Inventory.
Methods: A Cross-sectional study was conducted across three specialized vertigo and dizziness centers in Mexico City, Guadalajara, and Medellín. Patients diagnosed with vestibular disorders were administered the EQ-5D-3L, EQ VAS, and Dizziness Handicap Inventory (DHI) questionnaires.
Results: A substantial negative impact on QoL, with mobility impairment, self-care difficulties, and challenges in performing daily activities affecting a significant proportion of patients. The study found no significant differences in EQ-5D and VAS scores between females and males with vestibular disorders, and patients with acute and episodic vestibular syndromes exhibited comparable scores. In contrast, patients with chronic vestibular syndromes showed significantly lower EQ-5D and VAS scores. Additionally, lower scores on the DHI were observed in patients with episodic and chronic vestibular syndromes, further indicating the profound effect of these conditions on QoL.
Conclusion: This study underscores the significant and diverse impact of vestibular disorders on the QoL of Hispanic/Latin patients and highlights the importance of using standardized tools like the EQ-5D 3L for comprehensive assessment.
Additive Manufacturing of Carbon Fiber-Reinforced Thermoset Composites via In-Situ Thermal Curing
Authors: Yourdkhani Mostafa , Dojan Carter , Ziaee Morteza , Radosevich Samuel 
Published: October 2023

AbstractFiber-reinforced polymer composites are lightweight structural materials widely used in the transportation and energy industries. Current approaches for the manufacture of composites require expensive tooling and long, energy-intensive processing, resulting in a high cost of manufacturing, limited design complexity, and low fabrication rates. Here, we report the rapid, scalable, agile, and energy-efficient additive manufacturing of fiber-reinforced thermoset composites, while eliminating the need for tooling or molds. Use of a thermoresponsive thermoset resin as the matrix of composites and localized, remote heating of carbon fiber reinforcements via photothermal conversion enables instantaneous,in-situcuring of composites without further post-processing. Rapid curing and phase transportation of the matrix thermoset, from a liquid or viscous resin to a rigid polymer, immediately upon deposition by a robotic platform allows for the high-fidelity, freeform manufacturing of discontinuous- and continuous fiber-reinforced composites without using sacrificial support materials. This method is applicable to a variety of industries and will enable the rapid and scalable manufacture of composite parts and tooling as well as on-demand repair of composite structures.
An Efficient Human Action Recognition System Using Deep Learning‑Based Method
Authors: Parui Souvik Kumar , Biswas Saroj Kr. , Das Soumen 
Published: October 2023

Abstract
Human activity and action recognition are important in understanding human behavior and have always played a significant role in social communication. Human Action Recognition (HAR) is a challenging task that has various applications, such as intelligent video surveillance and human-computer interaction. Existing HAR models using video data often require high computational resources and a long processing time due to the high frame rate. However, using all frames to recognize a particular action is often unnecessary. Thus, this paper proposes an Efficient Human Action Recognition System (EHARS) using k-means clustering based keyframe extraction technique, which addresses the issue of computational inefficiency in existing models by eliminating redundant and useless frames. The proposed EHRAS utilizes the CNN-LSTM architecture where a pre-trained VGG-16 model is used for spatial feature extraction, and Bi-Directional Long Short-Term Memory (BiLSTM) network is used for classification, which incorporates temporal features. The proposed model is evaluated using the widely used benchmark UCF-101 dataset and achieved an accuracy of 97.65%, which is comparatively better than some of the existing models for the HAR task.
Adsorption device treatment of associated petroleum gas for power generation
Authors: Gurbanov Abdulaga , Sardarova Ijabika , Damirova Javida , Huseynov Ismayil 
Published: October 2023

Hydrocarbon resources were considered as the basis of Azerbaijan's energy security. Ensuring the most complete and rational use of oil-associated gas resources is important for improving the efficiency of the oil industry and the national economy as a whole. Associated gas from oil fields remains the least demanded hydrocarbon raw material. The perspectives for the use of oil-associated gas are associated with new directions in the technique and technology of its use as a result of the creation and implementation of mobile and stationary power plants that consume gas.
Unlike natural gas produced from gas and gas condensate fields, propane-butanoic and pentane fractions, there are hexanes, heptane’s and heavy hydrocarbons, including aromatic and naphthene tic compounding. The properties of APG were studied in the laboratories. It is known that the composition of petroleum gas in a particular area, due to changes in the volume of its production on fields, is constantly changing, so it is necessary to periodically update characteristics.
The standard technology on gas conditioning for combustion is supplemented with an operation to remove heavy fractions of hydrocarbons in order to prevent these fractions from sticking to the surfaces of these installations with plugs formation and to support optimal fuel burning conditions. The problem of using oil gas in small power must be solved through new, cost-efficient developments that will be widely used both in high-output and small fields. To prepare associated oil gases for combustion, the design of an adsorption device is proposed, which makes it possible to reduce such phenomena when using this type of fuel as the formation of oil and paraffin deposits on the design details of gas burners, the accumulation of products of incomplete combustion of fuel on the heating elements of power plants. With the help of the newly proposed adsorption plant, the process of emulsifying and transporting petroleum gases has become more efficient. The use of this device has increased economic efficiency
Use of additive test methods in the simulation of the methanol synthesis column for the creation of a control system from the model
Authors: Eliseyev Peter , Loriia Maryna , Tselishchev Olexii , Gurin Oleksandr , Kupina Oksana , Sotnikova Tetiana 
Published: October 2023

The object of the study is the methodology of developing automatic control systems for one class of technological objects, namely, multi-tonnage chemical-technological productions.
This class of technological objects is characterized by significant inertia, which makes them objects with difficult control. In addition, high production productivity to prevent economic losses requires ensuring the stability of the technological process without significant deviations from design norms.
Based on this, the development methodology for objects of this class should be strictly consistent and theoretically grounded.
The work presents an algorithm for developing the structure of the automatic control system of a large-tonnage chemical-technological facility based on its technological features. The algorithm begins with the analysis of a large-tonnage chemical-technological object as a control object. At the final stage, let’s obtain the complete structure of the control system as a self-adjusting extreme control system with an object model.
The selected structure of the automatic control system, in turn, puts forward specific conditions for the type of mathematical model of the control object. The work presents an algorithm for developing a combined mathematical model, which begins with structural identification and ends with parametric identification. This mathematical model is the most suitable for use in automatic control systems for technological objects of this class. The conclusions were confirmed by many years of research on real technological objects, including, on the example of the ASK TP methanol synthesis column.
The application of the described approach on the example of the development of an automatic control system for the technological process of methanol synthesis confirmed the economic feasibility of implementing the proposed solutions
Maximizing ecological environment benefits from the perspective of agricultural water resource transformation
Authors: Fang Yuan 
Published: September 2023

Abstract

The economic benefits of tourism are an important indicator for evaluating the tourism economic activities and their impact. In order to maximize the tourism economic benefits, this article studied the economic benefits of tourism from the perspective of agricultural water resource transformation. This paper took the relevant data of Shandong Province from 2010 to 2022 as the object of study and established the evaluation index system of tourism economic benefits of Shandong Province. The coupling relationship between tourism economic benefits and ecological environment (EE) was studied, and the systemic evaluation index system of Shandong tourism economy and EE was constructed. The range method and entropy method were used to calculate indicator weights, thereby constructing a coupled collaborative model between the tourism economy and the EE. Based on the relationship between tourism economic benefits and EE, research has been conducted on the transformation methods of agricultural water resources in EE construction to improve tourism economic benefits. With the continuous improvement of the EE index, the coupling degree between the tourism economic index and the EE index in many cities in Shandong Province has improved, and the tourism economic benefits have greatly improved.
EM NOME DE UMA GUERRA RACIAL TOTAL
Authors: Fernandes Rodrigues Marcos Alexandre , Machado da Rosa Kelli 
Published: September 2023

Esta pesquisa prossegue em direção à análise dialógica do discurso da organização terrorista estadunidense Ku Klux Klan (KKK – doravante). Com efeito, objetiva-se compreender seu estilo discurso com vistas a verificar a relação entre forma e conteúdo na produção de sentidos. A justificativa embasa-se na emergência dessa temática, uma vez que, por estar em atividade, essa organização tem a possibilidade de: i) alistar novos integrantes; ii) atacar grupos raciais; iii) coordenar atos de terror; iv) doutrinar seu interlocutor estadunidense ou brasileiro acerca da crença de superioridade e inferioridade racial; v) angariar criptomoedas. O referencial teórico-filosófico se respalda nas obras de Bakhtin (2015, 2016, 2017) e Volóchinov (2019a, 2019b, 2019c) no que tange à noção de forma, conteúdo, gênero discursivo. Em seu planejamento, fundamenta-se nestes cinco atos procedimentais: i) caracterização e escolha das organizações; ii) observação e registro das interações discursivas; iii) esboço das questões de pesquisa; iv) análise dialógica dos enunciados; v) escrita e apresentação da conclusão. Os resultados permitem a compreensão que o estilo discursivo da KKK se constitui de determinados signos ideológicos para mostrar a existência de uma pretensa batalha racial de grupos marginalizados contra brancos em função de um genocídio em massa, o que lhe responsabilizaria eticamente a reagir.