Miracle-dz/UniFAR-FTUs huggingface dataset:
The influence of technological interactivity and media sociability on sport consumer value co-creation behaviors via collective efficacy and collective intelligence

PurposeThe current study aims to explain the influence of technological interactivity and media sociability on sport consumer value co-creation behavior via collective efficacy and collective intelligence.Design/methodology/approachSubjects were individuals who have a mobile smart device and experience of accessing sport-related community websites (n = 513). A face-to-face self-administered survey was employed based on the convenience sampling method. A structural equation modeling test was conducted to examine the relationships between the variables.FindingsTechnological interactivity and media sociability based on mobile smart devices improve sport consumers' collective efficacy, and media sociability positively affects collective intelligence. Also, perceived collective efficacy and collective intelligence in virtual communities induce consumers to engage in the value co-creation process more actively (i.e. consumer participation behavior and citizenship behavior). One of the key findings includes the significant role of media sociability in the process of value co-creation between consumers and sport organizations. Media sociability is more likely to contribute to improving sport consumers' collective efficacy and the development of intelligence than the properties of technological interactivity.Originality/valueResearch findings contribute to extending the body of knowledge in interactivity studies related to sport consumers' value co-creation behaviors in the virtual environment context.
Catalytic upgrading and enhancing the combustion characteristic of pyrolysis oil

ABSTRACT Bagasse’s pyrolysis oil has low calorific value, high water content, and acidity. The main components of the pyrolysis oil are acids/esters, alcohols, aldehydes/ketones, furan compounds, phenol compounds, and guaiacols, and there is not an aromatic hydrocarbon in composition. Pyrolysis oil evaporates only 66.73 wt% at a temperature of 300°C and carbonaceous residue formed is 13.41 wt%. The carbonaceous residue will limit the utilization of pyrolysis oil because it generates soot while burning and made secondary emission. Upgrading the pyrolysis oil to enhance the vaporization, prevent the formation of carbon residue, and improve combustion behaviors has been investigated in this paper. Using catalyst HZSM5, Zn/HZSM-5, and Fe/HZSM-5 for upgrading pyrolysis oil, the quality of upgrading oil is enhanced with higher heating value, lower acidity, and viscosity. The modification of chemical composition of pyrolysis oil has generated better components for evaporation. At 300 °C, 91.97 wt%, 92.93 wt%, and 94.71 wt% of upgrading oil are evaporated for HZSM-5, Zn/HZSM-5, and Fe/HZSM-5, respectively. Carbonaceous residue decreases significantly to only 4.74 wt% with HZSM-5 catalyst, 4.39 wt% with Zn/HZSM-5, and 3.39 wt% with Fe/HZSM-5. Evaluation of the upgrading oil combustion by thermal analysis method, the total combustion characteristics index increases and it is more flammable than fuel oil. The results prove that upgrading oil might be used as a fuel oil in industrial application.
High-efficiency and compact WPT receiving antenna design using simulation optimization method

In this paper, a high-efficiency and compact wireless power transfer (WPT) receiving antenna using an flexible printed circuits board (FPCB) with high-Q factor is proposed. The proposed high-efficiency and compact WPT receiving antenna consists of a spiral structure, a lumped element and via through the ground structure. In this paper, in order to design a miniaturized high-efficiency WPT receiving antenna, machine learning technology was used to optimally design the antenna pattern that affects the Q factor. The designed receiving antenna has improved wireless power transmission efficiency with high Q characteristics. The power transfer efficiency is above 88% from distance 10 mm and the resonant frequency is 110 MHz. The sizes of the receiving antenna and the NFC antenna are 30 × 40 mm and 20 × 30 mm, respectively. Machine learning was used to design and fabricate the composite module of a WPT receiving antenna and NFC antenna. Comparison of the experimental results of the proposed receiving antenna with a general receiving antenna confirms the improvement in transmission efficiency.
Topology and Control Strategy of PV MVDC Grid-Connected Converter with LVRT Capability

This paper proposes an isolated buck-boost topology and control strategy for the photovoltaic (PV) medium-voltage DC (MVDC) converter with low-voltage ride through (LVRT) capability. The proposed isolated buck-boost topology operates on either boost or buck mode by only controlling the active semiconductors on the low-voltage side. Based on this topology, medium-voltage (MV) dc–dc module is able to be developed to reduce the number of modules and increase the power density in the converter, which corresponds to the first contribution. As another contribution, a LVRT method based on an LC filter for MVDC converter is proposed without additional circuit and a feedback capacitor current control method for the isolated buck-boost converter is proposed to solve the instability problem caused by the resonance spike of the LC filter. Five kV/50 kW SiC-based dc–dc modules and ±10 kV/200 kW PV MVDC converters were developed. Experiments of the converter for MVDC system in the normal and LVRT conditions are presented. The experimental results verify the effectiveness of the proposed topology and control strategy.
Weathering the Weather: Does Extreme Weather Affect the Cost of an Audit?

We examine the impact of extreme weather events on the cost and delay of an audit. We match the location of extreme weather from the National Centers for Environmental Information Storm Events database to firms with headquarters in the same metropolitan statistical area (MSA) as the extreme weather. We then count the number of days each year a firm experiences an extreme weather event of any type in its MSA to measure the impact. We find that auditors charge significantly higher fees and take significantly longer to complete the audit for firms experiencing more versus fewer extreme weather days. The effect of extreme weather on audit fees and report lags is more pronounced for events occurring after the fiscal yearend but before the audit report date and for local auditors in the same MSA as the client firm. Our main findings of higher audit cost and delay are most consistent with extreme weather events requiring auditors to provide additional audit services to assess the risks and complexities of extreme weather in clients’ financial statements. Additionally, we find that almost all extreme weather types cause higher audit fees and longer report lags. Client firms that disclose extreme weather-related information in the risk sections of 10-Ks have lower audit fees, and shorter report lags, possibly due to a reduction of audit risk associated with proactive risk disclosure.
Revascularización miocárdica en la disfunción ventricular izquierda

RESUMEN La disfunción del ventrículo izquierdo por remodelación adversa constituye la condición anatómica estructural subyacente de la insuficiencia cardíaca y es la secuela principal, y más severa, de la enfermedad arterial coronaria a largo plazo; además, es la única patología que se puede beneficiar con la revascularización miocárdica quirúrgica. Para su control existen guías actuales de tratamiento médico sustentados en los resultados favorables de ensayos clínicos contemporáneos. Sin embargo, en estudios recientes, no hubo beneficio de la revascularización quirúrgica sumada a la terapia médica óptima al compararse con la terapia médica óptima sola. La identificación de la viabilidad miocárdica para guiar la revascularización tampoco fue favorable. Los resultados de la extensión de estos ensayos evidenciaron beneficio del tratamiento de revascularización, pero la detección de viabilidad permaneció sin ser favorable. El aumento de la fracción de eyección del ventrículo izquierdo, como marcador de beneficio de la revascularización, no se asoció con menor mortalidad. Existen muchas razones por las cuales las ventajas conocidas de la revascularización no fueron evidenciadas. A pesar de estas discrepancias, la revascularización miocárdica y la identificación de viabilidad en estos pacientes tienen sustento y suelen ser indicaciones de tratamiento habituales.
The study of different unidirectional input parallel output series connected
 DC‐DC
 converters for wind farm based
 multi‐connected DC
 system

Summary There is increasing interest in interconnecting individual wind turbines in offshore wind farms using DC networks rather than AC networks. However, the output voltage from each turbine/generator is normally low (less than 6 kV), so DC-DC converters are required to step-up the voltage to an intermediate level to inter-connect the turbine outputs. Another DC-DC converter is required to step-up this intermediate voltage to a high level for transmission to the shore. The DC-DC converter applied to step-up the voltage from an intermediate voltage to a high level not only needs to operate with high voltage at both input and output, but also be capable of transferring hundreds of megawatts power. In these circum-stances, Input Series Input Parallel Output Series (ISIPOS) DC-DC converter structure is a good option for the application. In this paper, three different kinds of Input Parallel Output Series (IPOS) DC-DC converters are presented and compared, and it is the first time this comparison has been made. Both the simulation and downscaled hardware test results are provided and analysed, while the best option in different situations is suggested. List SAB SAB Three-Phase turns ratio Three-Phase Bridge SAB Three-Phase
Changes and Drive Mechanism of Climate Extremes During Recent 60 Years in Qilian Mountains, Northwestern China

A interesting study of analyzing the temporal and spatial characteristics and the reason change of extreme climate indexes based on the daily precipitation and temperature data of 24 meteorological stations in Qilian Mountains from 1961 to 2017. The results showed that the interannual change of the warming index of extreme temperature was similar to that of the cold index of extreme temperature. All daily indexes of extreme precipitation except CWD passed the significance level test of 5%. All daily indexes of extreme precipitation except for CDD in Hexi inland river basin, Qaidam inland river basin and Yellow river basin showed an increasing trend. However, the increasing extent of CWD, R10MM, R20MM and R25MM in Yellow river basin was lower than that of Qilian Mountain. The warming range of the four indexes (TX10, TN10, TXN and TNN) decreased from south to north. The spatial distribution of PRCPTOT, SDII, RX1DAY, RX5DAY, R95 and R99 was similar in the Qilian Mountains. The central part of the Qilian Mountains was the area with larger increasing region, and the increase region decreased from inside to outside. TX10, TN10, ID, FD showed a significant negative correlation with altitude, while TXN, TNN showed a significant positive correlation with altitude. The changes of TX10, TN10, TXN, TNN, ID, FD and DTR were the most obvious in the high altitude area (> 2500m), and the changes of TN90, TX90, TXX, TNX and GSL were the most obvious in the low altitude area (< 2500m). Qilian Mountains, Hexi inland river basin and Qaidam inland river basin were greatly affected by the AMO, NTA, CAR, SCSSMI, SAMSMI and were slightly affected by the Nino4, NAO, NP, SOI, AO, MEI. Extreme precipitation days indexes of Yellow river basin is highly correlated with AO and SCSSMI. The effect of the circulation index of Atlantic multidecadal Oscillation, Tropical Northern Atlantic Index, Tropical Southern Atlantic Index, North Tropical Atlantic SST Index, Caribbean SST index on the extreme temperature warm index was stronger than that of extreme temperature cold index.
LVRT capability based on P‐V curve fitting under partial shading conditions

The new generation of photovoltaic (PV) systems represents higher sustainability during grid faults thanks to increased ancillary services, such as low voltage ride-through (LVRT) capability used when the PV system is subjected to voltage sag. Unlike previously presented strategies that just dealt with voltage sag problem under uniform radiation conditions, in this study, a new control strategy implementing LVRT capability during low-voltage faults under partial shading conditions is proposed. First, radiation levels are estimated by using the least-squares curve ﬁtting (LSCF) algorithm. Second, the voltage/current of maximum power points (MPPs) and minimum power points are calculated. Also, the corresponding algebraic function for the (Power - Voltage) P-V curve is extracted using only PV voltage and power vectors. Finally, under partial shading conditions, the moving operating point to the right side of MPP is well-achieved through a power proportional-integral controller. To validate the effectiveness of the proposed control strategy, simulations and experiments are conducted on PV systems. The simulation and experimental results and the comparison made between this algorithm’s performance and other methods conﬁrm that the proposed algorithm outperforms other methods in terms of high accuracy, fast dynamic and low oscillations in different partial shading conditions and with different radiations.
Bacteriophages: A Possible Solution to Combat Enteropathogenic Escherichia Coli ( EPEC) Infections in Neonatal goats

Due to the awareness and benefits of goat rearing in developing economies, goats' significance is increasing. Unfortunately, these ruminants are threatened via multiple bacterial pathogens such as enteropathogenic Escherichia coli (EPEC) and its pathotypes. In goat kids and lambs, EPEC causes gastrointestinal disease leading to substantial economic losses for farmers and may also pose a threat to public health via the spread of zoonotic diseases. Management of infection is primarily based on antibiotics, but the need for new therapeutic measures as an alternative to antibiotics is becoming vital because of the advent of antimicrobial resistance (AMR). The current study focuses on the prevalence of enteric diseases, their identification through various molecular techniques viz., SYBR green real-time PCR, conventional PCR based on bfpA gene, PCR based on uspA gene and isolation, purification of naturally occurring phages against three EPEC multi-drug resistant strains isolated from the neonatal goat. Bacteriophages are novel components that can be used to tackle bacterial infections and AMR, where host immune responses and antimicrobial agents become incompetent. It was observed that a PCR based approach is more effective and rapid as compared to phenotypic tests. It was also established that the isolated bacteriophages exhibited potent antibacterial efficacy in-vitro. Hence, bacteriophages, being a natural therapeutic biological agent docking bacterial host, may be explored as a potential alternative to antibiotics in managing public, livestock and environmental health in this troubling situation of AMR.
The Mechanism and Kinetics of Bioleaching Sulphide Minerals

Abstract The measurement of oxygen and carbon dioxide consumption rates together with the measurement of redox potentials, has led to the further elucidation of the mechanism of bioleaching of sulphide minerals and enabled the kinetics of the sub-processes involved to be determined separately. This has shown that the primary attack of the sulphide mineral is a chemical ferric leach with the role of the bacteria to re-oxidise the ferrous iron formed back to the ferric form and maintain a high redox potential as well as oxidising the elemental sulphur which is formed in some cases. The kinetics of bacterial ferrous oxidation by Thiobacillus ferrooxidans and Leptospirillum ferrooxidans have been determined over a range of expected operating conditions. Also the chemical ferric leach kinetics of pyrite have been measured under conditions similar to those in bioleach systems. The kinetics have been described as functions of the ferric/ferrous-iron ratio or redox potential which enables the interactions of the .
Group Maintenance in Aggregative Multicellularity

Aggregative multicellularity occurs when dispersed cells join together to form a highly cooperative unit, in contrast to clonal multicellular organisms formed by cells that remain in contact after descent from a single cell. Because aggregative groups may include non-relatives, aggregative multicellular organisms should be particularly vulnerable to the rise of cheater cells that take advantage of social goods without paying the costs, reducing cooperation, and even threatening extinction. We review the key mechanisms by which aggregative multicellular organisms control cheaters with a focus on the best studied aggregative organisms, Myxococcus xanthus and Dictyostelium discoideum. These include various passive and active mechanisms to maintain high relatedness within aggregates, to enforce cooperation on aggregate members, and the costs of cheating on other key functions. Ultimately, aggregative multicellular organisms are not that different from clonal organisms descended from a single cell.
Estimation of sediment thickness by solving Poisson's equation with bedrock outcrops as boundary conditions

Sediment thickness and bedrock topography are vital for the terrestrial hydrosphere. In this study, we estimated sediment thickness by using information from digital elevation models, geological maps, and public databases. We discuss two different approaches: First, the horizontal distances to the nearest bedrock outcrop were used as a secondary function in kriging and cokriging. Second, we applied Poisson's equation to estimate the local trend of the sediment thickness where bedrock outcrops were used as boundary conditions. Differences between point observations and the parabolic surface from Poisson's equation were minimized by inverse modelling. Ordinary kriging was applied to the residuals. These two approaches were evaluated with data from the Øvre Eiker, Norway. Estimates derived from Poisson's equation gave the smallest mean absolute error, and larger soil depths were reproduced better if the local trend was included in the estimation procedure. An independent cross-validation was undertaken. The results showed the best accuracy and precision for kriging on the residuals from Poisson's equation. Solutions of Poisson's equation are sensitive to the boundary conditions, which in this case were locations of the bedrock outcrops. Bedrock outcrops are available for direct observations; hence, the quality of the estimates can be improved by updating input from high-resolution mapping.
The use of a low carbohydrate, ketogenic diet in bipolar disorder: systematic review

Background: Bipolar disorder is a neurodevelopmental illness characterized by severe biphasic changes in mood, energy, or thought. Key underlying metabolic pathologies thought to play a role include dysfunction in energy metabolism. The purpose of this article is to review the findings to date of the effects of a low carbohydrate ketogenic diet (KD) on mood symptoms in preclinical and clinical models of bipolar illness. The review highlights the underlying metabolic pathologies of bipolar disorder (BD) and potential therapeutic effects of the KD on these pathologies. The article also explores the potential effects of a KD on metabolic health in BD, including proposed mechanisms of action.Summary: Recent findings support the idea that bipolar disorder, along with other psychiatric disease, may have roots of metabolic dysfunction: cerebral glucose hypometabolism, oxidative stress, as well as mitochondrial and neurotransmitter dysfunction which has downstream effects on synapse connections. A KD provides alternative fuel to the brain aside from glucose and is believed to contain beneficial neuroprotective effects, including stabilization of brain networks, reduction of inflammation and oxidative stress. Several beneficial metabolic effects on insulin resistance, weight, and lipids have been shown. Based on its effectiveness in treating epilepsy, the KD has garnered recent interest in its application for mood disorders as it may imitate the pharmacological effects of mood stabilizers, commonly prescribed agents in the treatment of both BD and epilepsy. Additionally, it may improve metabolic dysfunction often seen in BD and repair deficits in energy metabolism. Limited case studies on KD treatment in BD have been reported; however, studies addressing the potential therapeutic effects of KD on metabolic abnormalities in mental illness are promising. Literature of plausible mechanisms and reports of improvements in psychosis, cognition and mood symptoms have been increasing.Conclusions: Preliminary findings support further testing of a low carbohydrate KD as a potential therapeutic tool in repairing energy metabolism in bipolar illness. Further research and clinical trials are needed to evaluate the efficacy of a KD as a supplemental or co-treatment of bipolar illness and the first open-label trial testing the diet in bipolar illness is currently underway at Stanford.
Processo de transformação ágil em uma empresa brasileira de Telecom

O objetivo deste artigo é identificar os processos de gerenciamento aplicados nos projetos, os obstáculos e os facilitadores da adoção dos métodos ágeis no contexto de transformação digital em uma empresa brasileira de Telecom. A empresa decidiu mudar seu modelo de gerenciamento de projetos para se adequar às necessidades de mercado, adotando um framework de gerenciamento e ferramentas ágeis. A unidade analisada foi o departamento de infraestrutura de TI. Os dados foram coletados por meio de pesquisa documental, entrevistas e observação participante. Os resultados evidenciaram o estágio de transição entre o modelo tradicional e o modelo ágil, caracterizando-se como uma gestão híbrida de projetos. Os processos da fase de execução, com entregas particionadas, adequam-se às práticas e métricas ágeis. Nas demais fases ainda se aplica o modelo tradicional, vinculado a processos obrigatórios e a exigências de documentação. Foram identificados fatores facilitadores e barreiras ao processo de transformação ágil. Verificou-se que o framework híbrido de gestão de projetos adotado é aderente ao Modelo-V, descrito na literatura. Embora limitado a uma área específica de uma empresa. O estudo contribui com o conhecimento sobre a convivência de abordagens gerenciais na transformação ágil e como fonte de lições aprendidas para outras empresas.