bluuebunny/crossref_metadata_2025_split huggingface dataset:
Physical Properties of Pulp and Paper: A Comparison of Forming Procedures
Authors: Miao Yingju , Xiang Siyu , Wei Yingfen , Long Xiaohui , Qiu Jie , Miao Yingchun 
Published: June 2023

Abstract
In this work, we used the conventional wet papermaking process and the solution casting procedure to make paper sheets and optimized the relative content of eucalyptus and Simao pine pulps using the mechanical properties of the paper sheet as the evaluation index. The chemical composition, water retention value, zeta potential, carboxyl content, and drainage behavior of the pulp created using the optimal mass ratio for each method were measured, and the resulting paper sheets were characterized via Fourier-transform infrared spectroscopy, X-ray diffraction, scanning electron microscopy, and nitrogen adsorption/desorption isotherms. We found that for a ratio of eucalyptus to Simao pine pulps of 94:6 using the wet papermaking process, the mechanical properties of sheets took their optimal values, and the tear, tensile, and burst indexes and the folding endurance were equal to 4.43 mN·m2·g−1, 27.47 N·m·g−1, 1.13 kPa·m2·g−1, and 11.38 times, respectively, whereas the ratio leading to the best possible mechanical performance in the solution casting process was 88:12, and the corresponding paper sheets had tear, tensile, and burst indexes and the folding endurance of 11.73 mN·m2·g−1, 23.03 N·m·g−1, 0.68 kPa·m2·g−1, and 25.50 times, respectively. The cellulose, hemicellulose, and lignin contents of the pulp treated by the solution casting method were lower by 1.88, 3.11, and 2.67 percent, respectively, compared to that obtained via the wet papermaking process. However, the water retention value, zeta potential, and carboxyl content of the pulp obtained via solution casting were higher by 50.31, 123.41, and 50.15, percent, respectively, compared to that obtained via the wet papermaking process. The drainage time obtained via the solution casting method was one-fifth of that obtained via the wet forming process. The paper sheet prepared via the solution casting method was found to exhibit weaker hydrogen bonding, a decreased level of crystallinity (26.64% lower), and an increased compactness and N2 gas adsorption capacity (19.55% and 66.7% higher, respectively) compared to the sheet obtained via the wet papermaking process. This work shows that the physical properties of the paper prepared via the two processes considered here, using their respective optimal weight ratios of the different types of pulp, have their own advantages.
Electromagnetically actuated 3D-printed tunable optical slit device
Authors: Erdil Kuter , Gürcüoğlu Oğuz , Ferhanoğlu Onur 
Published: June 2023

This paper presents the design, manufacturing, and characterization of a three-dimensional (3D)-printed and electromagnetically actuated adjustable optical slit structure. The device comprises magnet-attached slits connected to the main frame via two springs controlled by external coils. To analyze the forces acting on the springs and simulate the mechanical behavior of the device, we developed both analytical and finite-element models. After fabricating the device using fused deposition, we conducted a series of tests to evaluate its performance. These tests included (1) analyzing the opacity of the slit blade as a function of its thickness, (2) measuring the temperature increase resulting from the power applied to the coils to determine the operable range of the structure, and (3) evaluating the hysteresis, repeatability, and resolution (minimum step) of the device. The experimental works were crucial to assessing the device’s practicality and optimizing its performance for specific applications, which reveals a maximum slit width of ∼450µm, with ∼6.4µm step size within this study. Overall, our developed slit device has the potential to be useful in various optics-related laboratories due to its compatibility with conventional 1-inch (25.4 mm) diameter optomechanical mounts, compact form, low power consumption, and rapid prototyping capability with hybrid materials in a cost-friendly fashion, owing to the 3D-printing technology. We discuss an application where the adjustable slit is employed in a combined laser-scanning microscope and a spectrometer, highlighting its versatility and potential for the future.
Role of pixel design and emission wavelength on the light extraction of nitride-based micro-LEDs
Authors: Vögl Florian , Avramescu Adrian , Knorr Fabian , Lex Andreas , Waag Andreas , Hetzl Martin , von Malm Norwin 
Published: June 2023

Micro-light emitting diodes (µ-LEDs) suffer from a drastic drop in internal quantum efficiency that emerges with the miniaturization of pixels down to the single micrometer size regime. In addition, the light extraction efficiency (LEE) and far field characteristics change significantly as the pixel size approaches the wavelength of the emitted light. In this work, we systematically investigate the fundamental optical properties of nitride-based µ-LEDs with the focus on pixel sizes from 1 µm to 5 µm and various pixel sidewall angles from 0∘ to 60∘ using finite-difference time-domain simulations. We find that the LEE strictly increases with decreasing pixel size, resulting in a LEE improvement of up to 45% for a 1 µm pixel compared to a 20 µm pixel. The ideal pixel sidewall angle varies between 35∘ and 40∘, leading to a factor of 1.4 enhancement with respect to vertical pixel sidewalls. For pixel sizes in the order of 2 µm and smaller, a substantial transition of far field properties can be observed. Here, the far field shape depends severely on the pixel sidewall angle and affects the LEE within a solid angle of ±15∘. Moreover, we investigate the impact of emission wavelength and observe major differences in optical characteristics for blue, green and red emitting pixels, which is relevant for real-world applications. Finally, we discuss the implications of the assumptions we made and their significance for the design of µ-LEDs.
Compêndio de Direito Empresarial
Authors: Pereira Alexandre Dias 
Published: June 2023

Este livro reúne textos de apoio pedagógico sobre noções fundamentais de direito empresarial. Tendo por base as fontes e a sistematização tradicional do direito comercial, assim como jurisprudência, este compêndio percorre tópicos como a qualificação dos atos de comércio e dos comerciantes, a empresa como sujeito e objeto de negócios (maxime, trespasse e cessão de exploração), os sinais distintivos, as sociedades comerciais (enquanto espécie dominante no universo empresarial, sobretudo as sociedades por quotas e as sociedades anónimas), bem como as empresas públicas, a agência e outros contratos de distribuição comercial, o regime jurídico da concorrência e a responsabilidade social das empresas.
An Automated Tissue Systems Pathology Test Can Standardize the Management and Improve Health Outcomes for Patients With Barrett's Esophagus
Authors: Duits Lucas C. , Khoshiwal Amir M. , Frei Nicola F. , Pouw Roos E. ,   Barrett's SURF LGD Study Pathologists Consortium, Smolko Christian , Arora Meenakshi , Siegel Jennifer J. , Critchley-Thorne Rebecca J. , Bergman Jacques J.G.H.M. 
Published: June 2023

INTRODUCTION:
Low-grade dysplasia (LGD) in Barrett's esophagus (BE) is associated with an increased risk of progression to high-grade dysplasia or esophageal adenocarcinoma. However, because of substantial interobserver variability in the diagnosis of LGD, a patient's management plan and health outcome depend largely on which pathologist reviews their case. This study evaluated the ability of a tissue systems pathology test that objectively risk stratifies patients with BE (TissueCypher, TSP-9) to standardize management in a manner consistent with improved health outcomes for patients with BE.

METHODS:
A total of 154 patients with BE with community-based LGD from the prospectively followed screening cohort of the SURF trial were studied. Management decisions were simulated 500 times with varying generalist (n = 16) and expert (n = 14) pathology reviewers to determine the most likely care plan with or without use of the TSP-9 test for guidance. The percentage of patients receiving appropriate management based on the known progression/nonprogression outcomes was calculated.

RESULTS:
The percentage of patients with 100% of simulations resulting in appropriate management significantly increased from 9.1% for pathology alone, to 58.4% when TSP-9 results were used with pathology, and further increased to 77.3% of patients receiving appropriate management when only TSP-9 results were used. Use of the test results also significantly increased the consistency of management decisions for patients when their slides were reviewed by different pathologists (P < 0.0001).

DISCUSSION:
Management guided by the TSP-9 test can standardize care plans by increasing the early detection of progressors who can receive therapeutic interventions, while also increasing the percentage of nonprogressors who can avoid unnecessary therapy and be managed by surveillance alone.
Bayesian optimization of multi-layer perceptron models for power distribution system state estimation
Authors: Carmichael James , Liao Yuan 
Published: June 2023

Abstract
Feedforward multilayer perceptron models (MLPs) have been applied to power distribution system state estimation (DSSE) in the past. Existing methods usually employ an ad-hoc or trial and error approach to MLP hyperparameter selection, and thus a systematic way of selecting the optimal hyperparameters including the number of neurons per hidden layer, learning rate, number of training epochs and training batch size is desirable and needed. This paper presents an approach based on Bayesian Optimization with Gaussian Processes for selecting MLP model hyperparameters for state estimation purposes. Results of the optimized MLP models are presented alongside the unoptimized models to compare performance of training, testing, and validation in terms of root-mean-squared-error (RMSE). Additionally, machine learning pipelines were employed and total execution time (seconds) for each trial is presented. The study shows that the MLP models obtained through the proposed optimization method outperform unoptimized models in terms of generalization capability for unseen, new cases.
“She Deserves It All (?)”: Romance and Tradition in Qiong Yao Films of the 1960s
Authors: Zhou Xuelin 
Published: June 2023

Abstract
Qiong Yao films are known for telling stories of romance. This essay focuses on the female characters in Qiong Yao films produced by the Grand Motion Picture Company (GMP) in the 1960s. Founded by Li Han-xiang in 1963, GMP played a key role in the evolution of Taiwan cinema in general and Qiong Yao films in particular. The 1960s was to Taiwan a time of political and ideological conservatism. Discipline and obedience to authorities were prioritized as an official strategy to celebrate the traditional values and principles of Chinese culture. The Confucian-oriented ideology toward women dominated. The paper proposes that most women portrayed in the Qiong Yao films by GMP remain in the traditional status, emotionally and economically dependent on men. The paper posits that the gender-based/biased authoritarian hierarchy represented in these romantic dramas was closely associated to the patriarchal social structure and the mainstream political ideology. GMP’s 1968 film Love Eternal will be used as a case study to show how “the limits of proprieties” must be followed and what devastating effects were produced in the case when these traditional values were challenged and violated.
Organizing Expertise During a Crisis. France and Sweden in the Fight Against Covid-19
Authors: Borraz Olivier , Jacobsson Bengt 
Published: June 2023

Abstract
In the fight against the Covid-19 virus, France and Sweden stood at opposing ends along a continuum: one country went for lockdowns; the other relied on voluntary measures. Both strategies were shaped by the governing structures in each country: in France complex and fragmented organizational arrangements focusing on health security, in Sweden a single dominant agency maintaining a broad public health perspective. Using concepts from organization theory – loose versus tight coupling and exploitation versus exploration – we show how the divergent strategies evolved in both countries. While loosely coupled organizational arrangements were rapidly tightened in Sweden, the system in France went in the opposite direction becoming loosely coupled. While the Swedish case was mainly one of exploitation of existing knowledge and expertise, more unchartered territories were explored in France. While alignment across actors in Sweden took place with one dominant agency in the center, alignment in France was related to actions of neighboring countries. Evidently, there was more than one way to fight the pandemic.
Overexpression of LINC00607 inhibits cell growth and aggressiveness by regulating the miR-1289/EFNA5 axis in non-small-cell lung cancer
Authors: Zhang Li , Liu Huimin , Long Yan , Zhang Yuan 
Published: June 2023

Abstract
Long non-coding RNAs (lncRNAs) play a key role in cancer progression, including non-small-cell lung cancer (NSCLC). LncRNA long intergenic non-protein-coding RNA 00607 (LINC00607) was previously discovered to be downregulated in lung adenocarcinoma tissues. Nevertheless, the potential role of LINC00607 in NSCLC is still unclear. The expression of LINC00607, miR-1289, and ephrin A5 (EFNA5) in NSCLC tissues and cells was tested by reverse transcription quantitative polymerase chain reaction. Cell viability, proliferation, migration, and invasion were measured by 3-(4,5-dimethylthiazole-2-y1)-2,5-diphenyl tetrazolium bromide, colony formation, wound healing, and Transwell assays. The relationship among LINC00607, miR-1289, and EFNA5 in NSCLC cells was verified by the luciferase reporter assay, RNA pull-down assay, and RNA immunoprecipitation assay. In this study, LINC00607 was downregulated in NSCLC, and its low level is associated with poor prognosis of NSCLC patients. Furthermore, LINC00607 overexpression repressed NSCLC cell viability, proliferation, migration, and invasion. LINC00607 bound with miR-1289 in NSCLC. EFNA5 was a downstream target of miR-1289. EFNA5 overexpression also inhibited NSCLC cell viability, proliferation, migration, and invasion. EFNA5 knockdown antagonized the influence of LINC00607 overexpression on NSCLC cell phenotypes. Overall, LINC00607 serves as a tumor suppressor gene in NSCLC through binding with miR-1289 and modulating the level of EFNA5.
Diagnostic genomic sequencing in critically ill children
Authors: Auber Bernd , Schmidt Gunnar , Du Chen , von Hardenberg Sandra 
Published: June 2023

Abstract
Rare genetic diseases are a major cause of severe illnesses and deaths in new-borns and infants. Disease manifestation in critically ill children may be atypical or incomplete, making a monogenetic disease difficult to diagnose clinically. Rapid exome or genome (“genomic”) sequencing in critically ill children demonstrated profound diagnostic and clinical value, and there is growing evidence that the faster a molecular diagnosis is established in such children, the more likely clinical management is influenced positively. An early molecular diagnosis enables treatment of critically ill children with precision medicine, has the potential to improve patient outcome and leads to healthcare cost savings. In this review, we outline the status quo of rapid genomic sequencing and possible future implications.
Reconfigurable nonlinear optical element using tunable couplers and inverse-designed structure
Authors: Nikkhah Vahid , Mencagli Mario Junior , Engheta Nader 
Published: June 2023

Abstract
In recent years, wave-based analog computing has been at the center of attention for providing ultra-fast and power-efficient signal processing enabled by wave propagation through artificially engineered structures. Building on these structures, various proposals have been put forward for performing computations with waves. Most of these proposals have been aimed at linear operations, such as vector-matrix multiplications. The weak and hardly controllable nonlinear response of electromagnetic materials imposes challenges in the design of wave-based structures for performing nonlinear operations. In the present work, first, by using the method of inverse design we propose a three-port device, which consists of a combination of linear and Kerr nonlinear materials, exhibiting the desired power-dependent transmission properties. Then, combining a proper arrangement of such devices with a collection of Mach–Zehnder interferometers (MZIs), we propose a reconfigurable nonlinear optical architecture capable of implementing a variety of nonlinear functions of the input signal. The proposed device may pave the way for wave-based reconfigurable nonlinear signal processing that can be combined with linear networks for full-fledged wave-based analog computing.
Sahara Reporters and Premium Times online coverage of the Russia–Ukraine war
Authors: Omoera Osakue Stevenson , Nwaoboli Emeke Precious 
Published: June 2023

Abstract

Purpose
The mass media have continued to be significant news sources for human society, particularly during conflict and war. The media dependency theory posits that during crisis or instability, society relies more on traditional and new media to help it understand the developments in the war. This article investigated the frequency of the coverage of the Russia–Ukraine War by Sahara Reporters and Premium Times, ascertained the most dominant tone used by Sahara Reporters and Premium Times in the reporting of the Russian–Ukraine War, and unfurled the frame of coverage of Russian–Ukraine War by Sahara Reporters and Premium Times.

Theoretical and Methodical Considerations
Anchored in Robert Entman’s Framing Theory, online publications of Sahara Reporters and Premium Times from March 2022 to September 2022 served as the population of the study and the census sampling technique was used to draw a sample for the study. The explanation-building model was the method of data analysis.

Findings
Results showed that Sahara Reporters and Premium Times reports on the 2022 Russian–Ukraine War were frequent. Also, they paid more attention to the impacts of the war on Nigerian emigrants or students overseas in Russia and Ukraine.

Implications
Our findings suggest that online newspapers mostly toned the Russian–Ukraine War in negative slants and framed the stories highlighting the impact of the war on Nigerians, especially Nigerian students in Russia and Ukraine.

Value
The article brings a new perspective to the Russian–Ukraine War in media scholarship by examining Nigeria’s online news reporting of the Russian–Ukraine conflict. It is, therefore, recommended that Nigerian online newspapers not solely focus on negative reports of the war and its implications for stakeholders in Nigeria. They should adopt a more diverse range of frames and tones in their coverage, to influence stakeholders to take action to prevent wars and hold the Nigerian government accountable for providing adequate infrastructure and human capital that discourages emigration in search of a better life both academically and otherwise.
Glycoprofiling of early non-small cell lung cancer using lectin microarray technology
Authors: Zeng Lingyan , Xian Jinghong , Chen Hongyu , Mao Shengqiang , Liu Lei , Zhang Li 
Published: June 2023

Abstract

Objectives
Non-small cell lung cancer (NSCLC) is one of the most common malignancies in the world with a high incidence and it lacks effective biomarkers for early-stage detection. In this investigation, we aimed to investigate the alterations in plasma glycans related to NSCLC and assess the possibility of plasma glycopatterns as potential biomarkers for the diagnosis of NSCLC.

Methods
First, plasma samples from 16 patients with early-stage lung adenocarcinoma (LUAD), 16 patients with early-stage Lung squamous cell carcinoma (LUSC), and 16 healthy volunteers, were selected for inclusion in this study to probe the difference in plasma glycopatterns using lectin microarrays. Then, the diagnostic effectiveness of the candidate lectins was evaluated using ROC.

Results
In contrast to the NL group, seven candidate lectins offered potential diagnostic utility in the NSCLC (LUAD and LUSC) group. F17AG was significantly altered in LUSC with an AUC of 0.818 (adj.P.Val<0.05) compared to NL samples. There were 20 differentially expressed lectins in the LUAD group compared to the NL group. Based on the AUC values (AUC>0.800) and the normalized fluorescence intensities of the lectins, we selected eight lectins, GAL2, PTL-1, GNA, SSA, LENTIL, CA, PHA-E, and MAA to perform logistic regression analysis, and found that the combination of these eight candidate lectins had high diagnostic potential.

Conclusions
The results of this study should help to distinguish between NSCLC and NL based on changes in plasma glycopatterns, which have a great deal of potential to be biomarkers for diagnosing NSCLC.
Evaluación de las dinámicas de la cooperación sino-brasileña en el siglo XXI
Authors: He Lile , Zhou Nan 
Published: June 2023

Resumen
Al inicio del siglo XXI, las relaciones sino-brasileñas se han vuelto cada vez más estrechas. Este estudio consiste en una comparación entre el desarrollo de la cooperación sino-brasileña durante el mandato de Lula y el de Bolsonaro con el fin de evaluar las influencias de las diferentes orientaciones de políticas del gobierno brasileño sobre los intercambios mencionados. Evaluando factores domésticos de Brasil e internacionales como variables, este estudio se enfoca en las dinámicas que impulsan la cooperación entre China y Brasil en los dos periodos mencionados y revela que las relaciones económicas entre los dos países emergentes muestra cierta resiliencia a pesar de la existencia de una serie de desafíos.
A comparison of learning-based approaches for the corrosion detection on barrels in industrial applications
Authors: Haitz Dennis , Hübner Patrick , Ulrich Markus , Jutzi Boris 
Published: June 2023

Abstract
Machine-learning-based (ML) segmentation in the image domain can be utilized for the detection of corrosion on the surface of industrial objects. This research provides a comparison of techniques using convolutional neural networks (CNNs) on the one hand, and random forest (RF) classifiers within RGB and HSV feature spaces on the other hand. CNN-based approaches usually need a large amount of data for training in order for the network to converge and generalize well on new data. Due to the low amount of data provided, we apply a set of methods to increase the generalization ability of the model. These methods can be categorized into data augmentation, selection of larger and smaller models and pretraining strategies like self supervised learning (SSL). The RF classifiers on the other hand are trained per pixel, so that the amount of data is determined by the image size. The object to be tested is a barrel made of metal, from which the image of the coat is used as the training data, and the image of the bottom as test data. We found that a RF classifier in the RGB feature space outperforms the CNNs by seven percentage points regarding the f
1-score of the corrosion class.