Miracle-dz/UniFAR-FTUs huggingface dataset:
How Media Resources and Power Relations Define Critical Reporting in China: A Longitudinal Analysis of The Beijing News’ Corruption Coverage Between 2004 and 2018

ABSTRACT Critical reporting (piping-baodao) has long been considered one of the most important journalistic tools in China, exhibiting great democratic potential. However, the media environment for such reporting has become precarious over the past decade, raising the questions of how much space is left for critical reporting and how it is related to the media–state dynamics. Drawing on a 15-year longitudinal content analysis of how The Beijing News—an outspoken newspaper—reported corruption, this study explored the evolution of critical reporting in China. The results revealed that critical reporting is still a small-scale, non-routine journalistic practice. A detailed analysis was conducted to determine how media resources and power relations shaped critical reporting. The results showed that critical reporting has tended to take a resource-intense format and require non-official sources. Furthermore, critical reporting was more pronounced with respect to the coverage of low-ranking officials and officials outside the newspaper’s parent region. Broader implications of these findings have been discussed. Overall, the present study advances the understanding of critical journalism in an authoritarian context and explores its relations with the state.
Experiments on transition in plane Couette flow

The first flow visualization experimental results of transition in plane Couette flow are reported. The Couette flow water channel was of an infinite-belt type with counter-moving walls. The belt and channel walls were transparent making it possible to visualize the flow pattern in the streamwise-spanwise plane by utilizing fluid-suspended reflective flakes. Transition was triggered by a high-amplitude pointwise disturbance. The transitional Reynolds number, i.e. the lowest Reynolds number for which turbulence can be sustained, was determined to be 360 ± 10, based on half-channel height and half the velocity difference between the walls. For Reynolds numbers above this value a large enough amplitude of the initial disturbance gave rise to a growing turbulent spot. Its shape and spreading rate was determined for Reynolds numbers up to 1000.
The Properties of Tannery Waste Addition as a Filler Based on Two Types of Polymer Matrices: Poly(Butylene Adipate-Co-Terephthalate) (PBAT) and Poly(Butylene Succinate) (PBS)

Wet blue leather is a waste produced by the leather industry. It is a difficult waste product to dispose of, and if not disposed of properly, it will affect the environment and cause toxicity. Therefore, recycling was considered as an alternative to waste disposal. In this study, polymer composites were prepared from two types of polymers, poly(butylene adipate-co-terephthalate) (PBAT) and poly(butylene succinate) (PBS), and wet blue leather (WBL). A twin screw extruder and injection molding were used to prepare the composites. The effect of polymer type and WBL content (5, 10, and 15 wt%) on mechanical properties, thermal properties, flammability, MFI, water absorption, and morphology was investigated. All the polymer composites showed an increase in tensile and flexural strength, Young’s modulus, and water absorption but decreased in elongation at break, impact strength, and flammability compared to neat polymers.
Role of Imaging in the Management of Patients with SARS-CoV-2 Lung Involvement Admitted to the Emergency Department: A Systematic Review

During the waves of the coronavirus disease (COVID-19) pandemic, emergency departments were overflowing with patients suffering with suspected medical or surgical issues. In these settings, healthcare staff should be able to deal with different medical and surgical scenarios while protecting themselves against the risk of contamination. Various strategies were used to overcome the most critical issues and guarantee quick and efficient diagnostic and therapeutic charts. The use of saliva and nasopharyngeal swab Nucleic Acid Amplification Tests (NAAT) in the diagnosis of COVID-19 was one of the most adopted worldwide. However, NAAT results were slow to report and could sometimes create significant delays in patient management, especially during pandemic peaks. On these bases, radiology has played and continues to play an essential role in detecting COVID-19 patients and solving differential diagnosis between different medical conditions. This systematic review aims to summarize the role of radiology in the management of COVID-19 patients admitted to emergency departments by using chest X-rays (CXR), computed tomography (CT), lung ultrasounds (LUS), and artificial intelligence (AI).
The role of collective action in the cacao sector in enhancing sustainability, market upgrading and agro-biodiversity conservation

Many farmers around the world are confronted with the decision of adopting high-yielding varieties or maintaining the diverse portfolio of ancient varieties and cultivars that constitute the basis of local and global agrobiodiversity. This dilemma often resolves towards ensuring short-term individual profits at the expense of long-term biodiversity conservation. In this paper we argue that specialty markets can act as a driving force to resolve this balance towards the conservation of agrobiodiversity, supported by collective action. We use the case of the Ecuadorian cacao producers to illustrate this possibility. The upper Amazon is the center of origin of cacao, one of the top traded global commodities. Since the 1990s Ecuadorian farmers have been substituting regional varieties with a clone developed in the country, the CCN-51 that has shown to be a high-yielding variety that is also resistant to monilia, a common cacao disease. In some areas of the country, however, farmers belonging to cooperatives have been able to keep local varieties, obtain ecological certifications for adhering to the recommended practices, and reach specialty markets that pay higher prices for their cacao. We call this set of benefits upgrading. We conducted a study of 205 household surveys and several interviews in four provinces along the West coast of Ecuador. We assessed the role of collective action (in the form of cooperative participation) in enhancing farmers’ access to high-value chains. Our results show that collective action enables economic upgrading by providing participants with higher incomes and more formal contracts. As farmers join direct trade and certification, other benefits are accrued, such as cacao and non-cacao tree biodiversity conservation. This analysis shows that, once niche markets are open for farmers, collective action boosts the benefits of such opportunities.
Mathematical analysis and numerical study to free vibrations of annular plates using BIEM and BEM

In this paper, the spurious eigenequations for annular plate eigenproblems by using BIEM and BEM are studied in the continuous and discrete systems. Since any two boundary integral equations in the plate formulation (4 equations) can be chosen, 6 (C 24 ) options can be considered instead of only two approaches (single‐layer and double‐layer methods, or singular and hypersingular equations) which are adopted for the eigenproblems of the membrane and acoustic problems. The occurring mechanism of the spurious eigenequation for annular plates in the complex‐valued formulations is studied analytically. For the continuous system, degenerate kernels for the fundamental solution and the Fourier series expansion for the circular boundary density are employed to derive the true and spurious eigenequations analytically. For the discrete system, the degenerate kernels for the fundamental solution and circulants resulting from the circular boundary are employed to determine the true and spurious eigenequations. True eigenequation depends on the specified boundary condition while spurious eigenequation is embedded in each formulation. It is found that the spurious eigenvalue for the annular plate is the true eigenvalue of the associated interior problem with an inner radius of the annular domain. Also, we provide three methods (SVD updating technique, Burton and Miller method and CHIEF method) to suppress the occurrence of the spurious eigenvalues. Several examples were demonstrated to check the validity of the formulations. Copyright © 2005 John Wiley & Sons, Ltd.
Studies in Interpolation and Approximation of Multivariate Bandlimited Functions

Studies in Interpolation and Approximation of Multivariate Bandlimited Functions. (August 2011) Benjamin Aaron Bailey, B.S., Texas Tech University; M.S., Texas Tech University Co–Chairs of Advisory Committee: Dr. Thomas Schlumprecht Dr. N. Sivakumar The focus of this dissertation is the interpolation and approximation of multivariate bandlimited functions via sampled (function) values. The first set of results investigates polynomial interpolation in connection with multivariate bandlimited functions. To this end, the concept of a uniformly invertible Riesz basis is developed (with examples), and is used to construct Lagrangian polynomial interpolants for particular classes of sampled square-summable data. These interpolants are used to derive two asymptotic recovery and approximation formulas. The first recovery formula is theoretically straightforward, with global convergence in the appropriate metrics; however, it becomes computationally complicated in the limit. This complexity is sidestepped in the second recovery formula, at the cost of requiring a more local form of convergence. The second set of results uses oversampling of data to establish a multivariate recovery formula. Under additional restrictions on the sampling sites and the frequency band, this formula demonstrates a certain stability with respect to sampling errors. Computational simplifications of this formula are also given.
Quantized feedback stabilization of continuous‐time Markov jump systems under asynchronous control

This paper addresses a new asynchronous control scheme for continuous‐time Markov jump linear systems (MJLSs). Both controlled system and quantizer are asynchronous with the controller due to the process by which the controller can accurately observe and emit the switching signal being stochastic. The random variable satisfying Bernoulli distribution is introduced to describe this observation. On this basis, two methods are proposed to obtain sufficient conditions for exponential almost sure stability and almost surely asymptotically stability, respectively from the perspective of the linear matrix inequality (LMI). The results are independent of the asynchronous time interval. Finally, a numerical example demonstrates the validity and feasibility of developed theoretical results.
A Review of Hash Function Types and their Applications

In the recent decade, global community has been one of the world's most prominent targets of terrorist strikes. There is still study being done and improved efficiency procedures needed in this sector, however the security forces and law enforcement agencies are creating and launching high security weaponry to secure their territories. There is a huge necessity to include the greater level of protection into military vehicles in the wake of several terrorist attacks and sniffing of security officers. Terrorists rely heavily on infiltration while avoiding detection by security measures because of the holes in these hypothetical situations. This paper presents the central methods of hash functions, cryptography and dynamic encryption that may be utilised by the military personnel to increase the safety, privacy, and resistance to sniffing of their communications with one another. This article details the many methods and algorithms that may be included into laser guided defensive weapons and vehicles to provide safe communication across the system.
Medication use optimization in critical care through a pharmacy morbidity, mortality, and improvement program

Pharmacy‐led morbidity, mortality, and improvement (MMI) programs enhance practitioner education and improve patient‐safety culture. The impact of MMI programs on process improvement (PI) outcomes is lacking, particularly within critical care. The purpose of this retrospective report was to describe PI interventions from critical care medication errors evaluated through a pharmacy MMI program. Medication errors reported between June 2013 and August 2022 that occurred in an intensive care unit, emergency department, or procedural area were included. Error severity and potential were assessed using the National Coordinating Council for Medication Error Reporting and Prevention (NCC MERP) Medication Error Index and Harm Associated with Medication Error Classification (HAMEC), respectively. The primary outcome of PI interventions was classified as clinical update, operations change, pharmacy or hospital administration change, and/or informatics and technology (IT) updates. Electronic medical record (EMR) were further classified as best practice advisory, medication order build/change, order set build/change, dose limit/alert, or infusion smart pump change. Institute for Healthcare Improvement (IHI) reliability level was evaluated as a secondary outcome. A total of 54 errors were included. Most errors were classified as NCC MERP category D (13 [24.1%]) and C (12 [22.2%]) with severe harm potential (HAMEC 4, 26 [48.1%]; median score 3 [interquartile range, IQR, 3–4]) error potential. A total of 88 PI interventions were identified (median 1.5 [IQR 1–2] per error); clinical (30 [34.1%]) and IT (26 [29.5%]) updates were the most common. Order set build or change (20 [45.5%]) was the most common EMR enhancement. PI interventions were a median IHI level 1 reliability (IQR, 1–2). EMR enhancements had a median IHI level of reliability of 2 (IQR, 1–2). Critical care medication errors addressed through a formal Pharmacy MMI program have high harm potential and often involve multiple PI interventions. EMR interventions generally had higher levels of empiric reliability.
A Cotton Fabric Composite with Light Mineral Oil and Magnetite Nanoparticles: Effects of a Magnetic Field and Uniform Compressions on Electrical Conductivity

Over the past few decades, tactile sensors have become an emerging field of research with direct applications in the area of biomedical engineering. New types of tactile sensors, called magneto-tactile sensors, have recently been developed. The aim of our work was to create a low-cost composite whose electrical conductivity depends on mechanical compressions that can be finely tuned using a magnetic field for magneto-tactile sensor fabrication. For this purpose, 100% cotton fabric was impregnated with a magnetic liquid (EFH-1 type) based on light mineral oil and magnetite particles. The new composite was used to manufacture an electrical device. With the experimental installation described in this study, we measured the electrical resistance of an electrical device placed in a magnetic field in the absence or presence of uniform compressions. The effect of uniform compressions and the magnetic field was the induction of mechanical–magneto–elastic deformations and, as a result, variations in electrical conductivity. In a magnetic field with a flux density of 390 mT, in the absence of mechanical compression forces, a magnetic pressure of 5.36 kPa was generated, and the electrical conductivity increased by 400% compared to that of the composite in the absence of a magnetic field. Upon increasing the compression force to 9 N, in the absence of a magnetic field, the electrical conductivity increased by about 300% compared to that of the device in the absence of compression forces and a magnetic field. In the presence of a magnetic flux density of 390 mT, and when the compression force increased from 3 N to 9 N, the electrical conductivity increased by 2800%. These results suggest the new composite is a promising material for magneto-tactile sensors.
Trends in Beef Intake in the United States: Analysis of the National Health and Nutrition Examination Survey, 2001–2018

Evidence-based dietary advice regarding meats (including beef), requires accurate assessment of beef and other red meat intakes across life stages. Beef intake is subject to misclassification due to the use of broad categories such as “red and processed meat”. In the current study, intake trends for total beef (i.e., any beef type) and specific beef types (fresh lean, ground, processed) among Americans participating in the National Health and Nutrition Examination Survey (NHANES) 2001–2018 (n = 74,461) were characterized and usual intake was assessed using NHANES 2011–2018 (n = 30,679). The usual intake amounts of beef were compared to those of relevant protein food subgroups modeled in the Healthy U.S.-Style Dietary Pattern (HDP) reported in the 2020–2025 Dietary Guidelines for Americans (DGA). Total per capita beef consumption declined an average of 12 g (p < 0.0001) for ages 2–18 years and 5.7 g (p = 0.0004) for ages 19–59 years per 2-yr NHANES cycle, over the 18-year timeframe, while remaining unchanged for Americans aged 60+ years. On a per capita basis, Americans aged 2 years and older consumed 42.2 g (1.5 ounces) of total beef per day. Fresh lean beef per capita consumption was 33.4 g (1.2 ounces) per day. Per capita intake was similar across all age groups and below the daily HDP modeled amount of 3.7 ounce equivalents for the “Meats, Poultry, Eggs” (MPE) subgroup, while approximately 75% of beef consumers’ intakes of total beef was within HDP modeling. Evidence from intake trends suggests beef is not overconsumed by the majority of Americans but rather within the amounts for MPE and red meat modeled in the HDP of the DGA at the 2000-calorie level.
Micro, Small, and Medium Enterprises’ Readiness for Digital Transformation in Indonesia

The Fourth Industrial Revolution (IR4) and the COVID-19 pandemic have become triggers for micro, small, and medium enterprises (MSMEs) to conduct digital transformation even though there are many problems that need to be resolved, particularly those related to the readiness of MSMEs in facing digitalization. This study aims to investigate Indonesian MSMEs and identify problems and types of knowledge transfer activities. By involving 101 MSMEs selected using convenience sampling and collected through an online survey, the hypotheses testing shows that the perception of higher drivers for IR4 promoting IR4 readiness is supported, while the perception of higher barriers to IR4 decreasing IR4 readiness is not supported. The problems faced by MSMEs in Indonesia are related to financial, human resources, marketing, operational, administrative, and organizational management. To solve these problems and enhance the readiness for digitalization, knowledge transfer activities from universities to MSMEs are needed. This study provides a theoretical contribution to the strategic management literature to fill the lack of studies on MSMEs’ e-readiness in developing countries and a practical contribution to assist decision-makers in formulating strategies to support MSMEs in facing IR4 and solving internal problems through knowledge transfer activities.
Scenario analysis and climate change: a literature review via text analytics

PurposeClimate change has a direct impact on companies. Therefore, the scenario analysis is used to provide companies and stakeholders in this specific sector with forward-looking measures and narratives of the world's future state. This work aims to provide an independent, wide and rigorous literature review on the topics of scenario analysis and climate change, analyzing a large set of referred papers included in economic journals on the Web of Science Clarivate Analytics data source. This review, by means of a mixed approach, can help address new policy strategies and business models.Design/methodology/approachThe work employs 416 abstracts and relative titles in the field of economics, employing data mining for qualitative variables and performing descriptive statistics and lexicometric measures, similarity analysis and clustering with Reinert's hierarchical method in order to extract knowledge. Furthermore, qualitative content analysis allows for the return of a comprehensive and complete universe of meaning, as well as the analysis of co-occurences.FindingsContent analysis reveals three main classification clusters and four unknown patterns: model area, risks, emissions and energy and carbon pricing, indicating research directions and limitations through an overview with an extensive reference bibliography. In the research, the prevalent use of quantitative instruments and their limitations emerge, while qualitative instruments are residual for climate change assessment; they also highlight the centrality of transition risk over adaptation measures and the combination of different types of instruments with reference to carbon pricing.Originality/valueScenario analysis is a relatively new topic in economics and finance research, and it is under-investigated by the academy. The analysis combines quantitative and qualitative research using text analytics.
The BEM Program: An innovative online parenting program for socioeconomically disadvantaged caregiver–child dyads in Brazil

Objective To describe the BEM Program, an innovative online parenting program for socioeconomically disadvantaged caregiver–child dyads in Brazil. Methods The Template for Intervention Description and Replication checklist was used to describe the BEM Program in detail. Results The BEM Program (an acronym for Brincar Ensina Mudar in Portuguese, “Play Teaches Change” in English) refers to the change in adult, child, and dyad outcomes that can be observed through incorporating playful interactions between the caregiver and their child into their daily household chores. Content consisting of 8 videos and 40 text and audio messages was sent entirely online through WhatsApp®. Thus, the Program could be accessed wherever caregivers wanted, if they had their smartphone and Internet access. Conclusions The detailed description of an innovative online parenting program focused on caregiver–child interaction and child development contributes to the scarce evidence on this type of programs. Adherence to the program continues to represent one of the main challenges to overcome.