Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of Urea Peroxide Bleaching Parameters of Old Newspaper Pulp by Response Surface Methodology

The purpose of this paper was to study the influence of various parameters on the result of old newspaper pulp(ONP) bleaching with urea peroxide and the compare urea peroxide bleaching and hydrogen peroxide bleaching.The main influence factors of urea peroxide bleaching including urea peroxide charge,temperature and reaction time were analyzed by response surface methodology.The bleaching conditions were optimized as urea peroxide dosage 12.10%,Na2SiO3 3%,MgSO4 0.05%,reaction time 120 min,temperature 80℃. At the optimal conditions,pulp brightness reached 59.8%ISO and had 12.5 points gain compared with the unbleached pulp.The brightness of urea peroxide bleached pulp was 2.6 points higher than that of the pulp bleached with hydrogen peroxide bleaching under the same condition.
Properties of electrochemically copolymerized aniline and melamine on functionalized multiwalled-carbon nanotube film electrodes

The electrochemical properties of polymerized aniline (PANI) and polymerized melamine (PMEL) that were electrochemical copolymerized (PANIMEL) on a glassy carbon electrode (GCE) that had been coated with functionalized multiwalled carbon nanotubes (fMWCNT) to form a PANIMEL/fMWCNT/GCE film electrode were studied, with an aim toward electrochemical energy storage (EES). A number of factors, such as the choice of working electrode, electrolyte, switching potential, applied scan rate, and type of fMWCNTs, were initially investigated and evaluated during the individual electrochemical polymerization of aniline and melamine via successive potential cycling. The electrochemical copolymerisation of aniline and melamine was then studied with an ideal monomeric ratio of 1:3 that gave an optimal ratio of the voltammetric peak current heights with distinguishable redox peak potentials. Variable scan rate cyclic voltammetry (CV) of the electrosynthesized copolymer film electrode confirmed the dominance of the surface-confined electron transfer process at the electrode. The electrochemical stability of the copolymer film electrode was also assessed and revealed a limited cyclability of the daughter polymeric melamine, which was hypothesized to be due to an excessive nitrogen content combined with a low porosity that led to a poor ion intercalation-deintercalation mechanism. Electrochemical impedance spectroscopy (EIS) was performed to evaluate the electrochemical performance of the copolymerized film electrode with other control electrodes. The corresponding EIS results suggested that the copolymer-ized film electrode was electrochemically superior to the PMEL/fMWCNT/GCE film electrode but was inferior to the PANI/fMWCNT/GCE film electrode.
Societal acceptance increases Muslim-Gay identity integration for highly religious individuals… but only when the ingroup status is stable

ABSTRACT Reconciling religious beliefs with a sexual minority identity can be challenging. After coming out, many gay men report to renounce their religious identity or experience increased identity conflict between their religious and sexual identities. Giving up one’s own identity or identity conflict are known to predict negative wellbeing, and it is important to find ways to reduce this conflict and increase identity integration. In this experiment, we conceptualized identity integration as a social creativity strategy, and we examined whether societal acceptance (vs rejection) and ingroup experience (e.g., whether gay community feels stability or improvement about their status) would alter one’s level of Muslim-gay identity integration. We found that Muslim-gay identity integration was highest among highly religious gay men when societal acceptance was present and ingroup experience was stable. Overall, we discuss our findings by drawing parallels between social identity theory and bicultural identity integration framework, and provide implications to increase identity integration for those with multiple conflicting identities.
Simultaneous Capture of Mercury and CO2 in Amine-Based CO2 Absorption Process

The feasibility of using an amine-based carbon dioxide (CO2) capture unit for the simultaneous capture of mercury (Hg) and CO2 was studied by carrying out Hg absorption experiments with three different types of absorption solutions: mixtures of sodium chloride (NaCl) and sodium hypochlorite (NaOCl), monoethanolamine (MEA), and blended MEA and NaCl/NaOCl. The results show that it is not effective to use the amine-based CO2 unit for the concurrent capture of Hg and CO2 because the Hg absorption performance of aqueous solutions of MEA and blended MEA/NaCl/NaOCl is low. Mixtures of NaOCl and NaCl do not perform as a rate enhancer for Hg removal in the presence of MEA. The presence of Hg in the MEA solutions does not affect the CO2 absorption performance of MEA. To capture both Hg and CO2, a two-step capture process that employs an aqueous NaCl/NaOCl solution for Hg removal, prior to CO2 capture in the amine unit, might be an option.
Indashyikirwa Women’s Safe Spaces: Informal Response for Survivors of IPV within a Rwandan Prevention Programme

Within intimate partner violence (IPV) prevention programmes that raise awareness of women’s rights and the forms and consequences of IPV, there is a need to ensure response mechanisms for IPV survivors. Indashyikirwa is a Rwandan IPV prevention programme, which established 14 women’s safe spaces, whereby men and women could access support for IPV, be referred or accompanied to other services. This paper draws on qualitative interviews with safe space facilitators, attendees, staff and observations of activities at various points across the programme. Thematic analysis was conducted to assess the process and impact of the spaces. Attendees generally preferred the women’s safe spaces over formal services for IPV disclosure and support, and the spaces also enhanced the quality of and linkage to formal IPV response services. The safe spaces further supported well-being and economic empowerment of attendees. Lessons learned from implementing this model are offered, including how to ensure safe, inclusive and integrated sources of support within broader IPV prevention efforts.
An reinforcement learning approach for allocating software resources

Software resource allocation is an significant factor of system configuration which plays a critical role in guaranteeing the performance of multitier web service systems. Computing the optimal allocation of different software resources in order to meet performance requirements under dynamic workloads conditions is in highly challenging. Existing approaches mostly rely on translating domain knowledge from experts into computational solutions through heuristics‐based optimization techniques. While such techniques are useful, they cannot leverage actual usage data generated by system users which may contain allocation strategies that are not captured by domain experts' knowledge. In this paper, we propose an iterative feedback mechanism which solves the problem to some extent by optimizing software resource allocation of multitier web systems through imitating system users who have achieved excellent performance. Specifically, we propose a deep Q‐learning network‐based approach for performance prediction to deal with the dynamic changes of complex workloads. The performance prediction method involves the reinforcement learning method for capturing the dynamics of online software resource allocation, and then computing the current optimal policy. We implement the approach in the multitier web benchmark system, and the experimental results demonstrated significant improvement compared to models built based on domain knowledge.
Monitoring and Assessment on the UNESCO Endangered Heritage Sites using Space Technology-A Case Study on East Rennell, Solomon Islands

Space technology is an effective approach to monitor the status of World Natural Heritage sites. East Rennell Island has been inscribed on the List of World Heritage in danger since 2013. The site includes approximately 37,000 hectare (ha) and a marine area extending three nautical miles to sea. Deforestation and natural disasters have become the increasing factors threatening its sustainable development. Based on the analyses of multi-source long-time series remote sensing data like MODIS and Worldview data, the forest cover change and its future trends in Rennell Island from 2000 to 2020 have been mapped and assessed using Sen + Mann-Kendall and Hurst index models. A land cover classification system derived from the high-resolution Worldview images was developed as a baseline product for monitoring and analyzing future forest cover changes in East Rennell Island. Our results show that: (1) Area of the vegetation degradation is basically same as that of vegetation improvement from 2000 to 2020. (2) The trend of forest cover change is weak in continuity, and significant improvements in damaged vegetation can be implemented but it needs enough protection measures and financial input. (3) This heritage site has a strong ability to regenerate vegetation, and it is recommended to restrict the human activities like the mining, logging, and road construction, which could greatly disturb the unique ecosystem.
1 Regeneration of the Periodontal Apparatus in 2 Aggressive Periodontitis Patients 3

The aim of this article is to evaluate and compare, retrospectively, the efficacy of two 8 regenerative periodontal procedures in patients suffering from aggressive periodontitis (AgP). 9 Twenty-eight patients were diagnosed with AgP, suffering from multiple intra-bony defects (IBD); 10 that were treated by one of two regenerative modalities of periodontal therapy randomly assigned 11 to each patient: a. guided tissue regeneration (GTR) or b. an application of enamel matrix 12 derivatives (EMD) combined with DBX. The monitoring of the treated sites included recordings of 13 probing depth (PD), clinical attachment level (CAL), and gingival recession. Pre-treatment and 14 follow-up (up to 10 years from the surgery) recordings were analyzed statistically within and 15 between groups. A significant reduction was shown at time on PD and CAL values, however, not 16 between subject groups. CAL values decreased in all sites. At EMD group (44 sites) CAL gain was 17 1.92 mm (±1.68) from pre-treatment to follow-up (p<0.001) and at the GTR group (12 sites) CAL 18 gain of 2.27 (±1.82) mm. In conclusion, 1-10 years observations have shown that surgical treatment 19 of AgP patients by either GTR or by application of EMD/DBX results in similar successful clinical 20 results. 21
Non-Invasive Measurement for Cardiac Variations Using a Fiber Optic Sensor

Cardiovascular diseases (CVDs) are very common in modern society, such as atherosclerosis, hypertension, etc., which have a great impact on heart function. Therefore, hospitalization monitoring alone is far from enough. Long-term monitoring of the heart is needed in daily life. The technology of non-invasive monitoring of the cardiovascular system can meet the needs of long-term monitoring of the heart condition, helping to promote the improvement of lifestyle and daily care, reducing the overall risk of developing CVDs. The purpose of this study is to investigate the cardiac response after different exercises using a $3\times 3$ demodulation scheme-based ballistocardiography (BCG) monitoring system. A fiber optic sensor (FOS)-based smart cushion is used to replace the traditional inconvenient electrocardiogram (ECG) for heart rate variability (HRV). The correlation between BCG inter-beat interval (IBI) and ECG IBI is 0.9862, and the RMSE is 0.0139. The BCG signal can assess cardiac contractility by analyzing RJ interval with ECG, which is a practical alternative to the pre-ejection period (PEP).
Fetale und neonatale Alloimmunthrombozytopenie, Teil 2

Zusammenfassung Die fetale und neonatale Alloimmunthrombozytopenie (FNAIT) wird durch mütterliche Antikörper hervorgerufen, die gegen ein vom Vater ererbtes Blutgruppenmerkmal an fetalen Thrombozyten gerichtet sind. Während Teil 1 des Beitrags Ausgabe die Ätiologie, die Pathogenese und die Diagnostik der FNAIT thematisiert hatte, widmet sich dieser 2. Teil der Risikostratifizierung und Behandlung 1.
A Comprehensive Study on the Associativity of T2DM and Cognitive Impairment

T2DM and cognition disability are also very common diseases around the world. While the diabetes of variant type 2 is linked to an increased incidence of dementia, there is little understanding of the correlation between the two conditions, and Clinicians can be guided little by recommendations for treating cognitive disability in diabetes patients. A body of corroborationmanifestate that insulin resistance, root cause for diabetes, also plays a major ramification in Alzheimer's disease.Diabetic lifestyle awareness and risk management are important to prevent cognitive issues. This paper provides a comprehensive study of diabetes' relationship with cognitive dysfunction, and also the emerging approaches are essential to both identification and treatment, and control as well as cognitive disabilities in those with diabetes. Significant associations were found in the T2D-MCI population between memory and insulin medication (immediate recall), complicated figure copy, and attention.This case-control study investigated an association between the form of diabetes known as type 2 and minor cognitive impairment, and the prevalence in non-diabetics and type 2 diabetics of mild cognitive impairment. There is a conceptual framework to deal with screening and treatment and future research guidelines to guide the field.
Sensibility and Rationality in Vocal Music: The Issue of Intonation

The purpose of this article was to assess the effectiveness of intonation control among first-year students majoring in vocal music. The study was performed during the 2018-2019 in on one of Beijing conservatories (China). Research sample comprised of 300 first-year students, 100 of which made up the control group, another 100 – the experimental group 1, and the last 100 – experimental group 2. Higher results of students from EGs than those of CG participants resulted from systematic and constant work on intonation improvement. The total number of individuals with poor educational achievements decreased in view of the innovative training methodology introduction that provoked the overall enhancement of academic outcomes. An inverse correlation was found between intonation control and health vocal apparatus: -0.89 for CG, 0.78 for EG1, and 0.81 for EG2. The application of the developed methodology allowed students to preserve vocal cords’ health and improve singing abilities.
The Impact of the Uncertain Input Data of Multi-Purpose Reservoir Volumes under Hydrological Extremes

The topic of uncertainties in water management tasks is a very extensive and highly discussed one. It is generally based on the theory that uncertainties comprise epistemic uncertainty and aleatoric uncertainty. This work deals with the comprehensive determination of the functional water volumes of a reservoir during extreme hydrological events under conditions of aleatoric uncertainty described as input data uncertainties. In this case, the input data uncertainties were constructed using the Monte Carlo method and applied to the data employed in the water management solution of the reservoir: (i) average monthly water inflows, (ii) hydrographs, (iii) bathygraphic curves and (iv) water losses by evaporation and dam seepage. To determine the storage volume of the reservoir, a simulation-optimization model of the reservoir was developed, which uses the balance equation of the reservoir to determine its optimal storage volume. For the second hydrological extreme, a simulation model for the transformation of flood discharges was developed, which works on the principle of the first order of the reservoir differential equation. By linking the two models, it is possible to comprehensively determine the functional volumes of the reservoir in terms of input data uncertainties. The practical application of the models was applied to a case study of the Vír reservoir in the Czech Republic, which fulfils the purpose of water storage and flood protection. The obtained results were analyzed in detail to verify whether the reservoir is sufficiently resistant to current hydrological extremes and also to suggest a redistribution of functional volumes of the reservoir under conditions of measurement uncertainty.
Bacteria Community Structure Analysis of Daqu in Different Storage Periods of SheDian Liquor

yanbo liu Henan University of Animal Husbandry and Economy https://orcid.org/0000-0002-9017-5861 Shangping Jin Henan University of Animal Husbandry and Economy Zhijun Zhao Henan University of Animal Husbandry and Economy Junying Fu Henan University of Animal Husbandry and Economy Xian Wang Henan University of Animal Husbandry and Economy Xiyu Sun Henan University of Animal Husbandry and Economy Suna Han Henan University of Animal Husbandry and Economy Chunmei Pan (  chunmeipan66@hotmail.com ) Henan University of Animal Husbandry and Economy
Startup Founders' Personality Attributes in Crowdfunding Campaigns: The Relevance of Hubris and Charisma in Raising Seed Funding Online

Startup founders often display personality traits associated with charisma and hubris. Existing literature contains rich evidence on the relevance of these traits for traditional investments settings that involve a personal interaction between the entrepreneur and the investor. However, the state of theory development on how hubris and charisma also influence the outcomes of raising seed funding online from non-professional investors can still be considered as nascent as a result of missing empirical evidence. We draw upon dual-process theory and argue that hubris and charisma are of particular relevance as they trigger intuitive decision-making processes of non-traditional investors. Our empirical setting involves a true experiment based on three versions of a crowdfunding pitch video that was recorded in collaboration with a professional actor. The primary outcomes suggest that both hubristic and charismatic entrepreneurs are more successful in sourcing capital from the crowd as they are perceived as more trustworthy and passionate.
Prediction of Approximate Multiplier for 16-Bit DICOM Image Contrast Scaling Using Classical Machine Learning Approach

The role of approximate arithmetic are involved when the processors are used for multimedia signal processing application. The impact of multiplier is very important in many processes done by these processors. The compressors are the core architecture for reduction stage if the multiplier width is increased. Later approximations are done in the compressor to limited error without affecting the signal standard. The design of scalable-split compressor is designed in this work and a counter matching method has been developed for approximation. The design of 32x32 and 16x16 multiplier with these new compressors are synthesised in 45nm Synopsis Design Compiler and shows an improvement of 25 % of Chip area and 27% power. The split-scalable architecture attempts to reduce the delay with trade-off in area and power. Mean Error Distance (MED) and Normalized Error Distance (NED) are the parameters that ensure the quality of any approximate arithmetic based design. 16-bit medical images are processed with both existing and proposed multipliers then the Peak Signal to Noise Ratio (PSNR) is compared. Finally with several input nature and targeted PSNR the best system is identified using classical machine learning model.
Intención de Compra de Servicios de alojamiento a través de Redes Sociales: Aplicación del Modelo de Aceptación Tecnológica

Las tecnologías de la información y comunicación han generado una gran influencia en los ámbitos empresariales, así como en el comportamiento de los consumidores. Específicamente en el sector turístico, los clientes tienen la posibilidad de acceder a gran cantidad de oferta de servicios lo cual obliga a las empresas a identificar los factores a través de los cuales pueden captar y mantener la atención y comunicación con el cliente con el propósito de incrementar las ventas de sus servicios. Con base en esto, en esta investigación se analizó si la utilidad percibida y la facilidad de uso percibida, que son componentes del modelo de aceptación tecnológico, influyen en la intención de compra de servicios de alojamiento a través de sitios de redes sociales. La investigación aplicada a una muestra de 382 turistas, aplicando un enfoque cuantitativo haciendo uso de modelos de ecuaciones estructurales (SEM), se evidenció que únicamente la facilidad de uso percibida influye en la intención de compra online de servicios de alojamiento. Los resultados permiten concluir que es necesario poner más énfasis en los aspectos hedónicos de estas plataformas virtuales.
Fault Detection and Classification in Industrial IoT in Case of Missing Sensor Data

This article addresses the issue of reliability in the Industrial Internet of Things (IIoT) in case of missing sensors measurements due to network or hardware problems. We propose to support the fault detection and classification modules, which are the two critical components of a monitoring system for IIoT, with a generative model. The latter is responsible for imputing missing sensor measurements so that the monitoring system performance is robust to missing data. In particular, we adopt generative adversarial networks (GANs) to generate missing sensor measurements and we propose to fine-tune the training of the GAN based on the impact that the generated data have on the fault detection and classification modules. We conduct a thorough evaluation of the proposed approach using the extended Tennessee Eastman Process data set. Results show that the GAN-imputed data mitigate the impact on the fault detection and classification even in the case of persistently missing measurements from sensors that are critical for the correct functioning of the monitoring system.
Carreiras femininas: uma revisão sistemática sobre trajetórias profissionais

Carreiras femininas, desde meados de 1970, tem representado um tema em ascensao. O objetivo deste estudo consiste em mapear quais carreiras desenvolvidas por mulheres tem sido menos abordadas pelos estudos em Administracao, a fim de identificar os contextos de atuacao que obtiveram pouca atencao dos pesquisadores. Uma revisao sistematica foi realizada analisando artigos das bases Web of Science e Scopus . A principal contribuicao consiste em demonstrar as carreiras que ja possuem um corpo teorico robusto e as que sao marginalizadas pelos estudos em Administracao. Nesse sentido, apresentamos direcionamentos de estudos futuros para compreender melhor o desenvolvimento de tais carreiras.