Miracle-dz/UniFAR-FTUs huggingface dataset:
When Men Who Dislike Feminists Feel Proud: Can Self-Affirmation and Perspective-Taking Increase Men’s Empathy Toward Feminists?

Abuse against women’s rights activists is a serious concern, but there is a lack of research into strategies on how to reduce this. Past research has identified self-affirmation (i.e., thinking about one’s valued traits) and perspective-taking as promising strategies to reduce minority target backlash. Through one pilot study (n = 98), and one two-part experimental study (n = 202), we tested the effect of perspective-taking and self-affirmation on empathy toward feminism among men. Fictional Facebook profiles were manipulated to encourage perspective-taking, perspective-taking with self-affirmation, or were neutral in content. Participants then rated feelings toward individual feminists as well as feelings (in the context of perspective-taking emotions) toward abuse faced by feminists more generally. Results indicated that perspective-taking combined with self-affirmation promoted empathetic feelings (as represented by perspective-taking emotions) toward feminists experiencing abuse. The impact on empathy was particularly strong among men with high initial prejudice toward feminists. These results suggest that self-affirmation could potentially reduce online abuse of feminists through an increase in empathetic feelings. This research has broader implications for male engagement within feminism, and we recommend that educators and male allies of feminism promote positive, affirming roles for men (e.g., as fathers), as this may encourage empathy toward feminist issues. Policy makers could consider this strategy in the context of promoting policies such as shared parental leave. Online slides for instructors who want to use this article for teaching are available on PWQ's website at http://journals.sagepub. com/doi/suppl/10.1177/03616843211017472
Streaming the Battlefield A Theory of the Internet’s Effect on Negotiation Onset

: This article explores the effects of social media penetration and internet connectivity on the likelihood that parties within a conventional intra-state conflict will enter negotiations. The proliferation of advanced information communications technologies, coupled with violent political collective action, calls for further examination of how these variables intertwine to affect conflict patterns. Beginning with a discussion on communications technology and the bargaining model of war, the author presents a theoretical model that seeks to create a foundation that can be used for future empirical testing.
Intercooperation, flexicurity and their impact on workers: The case of Fagor Electrodomésticos

Mondragon cooperatives have used flexible employment, training and labour protection policies to deal with economic crises since the 1970s. These policies were also used in 2013 to alleviate the social consequences of the demise of their biggest industrial cooperative, Fagor Electrodomésticos. This article aims to analyze— through 40 interviews with different stakeholders—the advantages and limitations of wage, working time and functional flexibility policies by framing them under the flexicurity concept. In contrast with previous research on Mondragon cooperatives, this study has found a strong worker-owner resistance to flexicurity policies, mainly before the firm’s bankruptcy. The study has also found the main reasons for worker resistance and for some successful Mondragon cooperatives’ reluctance to offer permanent relocations to redundant Fagor Elec-trodomésticos’ members. This research will help cooperatives to maintain and improve their flexicurity policies and their resilience. Some findings can be extrapolated to the growing number of firms that aim to imple-ment flexicurity policies without harming their workers’ social welfare.
The microbiological quality of minced pork treated with garlic in combination with vacuum packaging

The present study aimed to evaluate the microbial quality of minced pork treated with fresh garlic, dried garlic, and garlic oil in combination with vacuum packing. The growth of Total Viable Counts (TVC), Coliform Bacteria (CB), and Pseudomonas spp. were evaluated. The microbiological analyses were performed by the plate dilution method. The average value of TVC was 8.45 log CFU.g-1 in aerobically packed samples, 5.59 log CFU.g-1 in samples treated with garlic oil, 5.36 log CFU.g-1 in vacuum packed samples, and samples treated with dried garlic, and 4.98 log CFU.g-1 in samples treated with fresh garlic on 8th day of storage. The number of TVC was significantly lower in samples treated with fresh garlic compared to samples treated with dried garlic and garlic oil on the 8th day of storage (p <0.05). The average value of CB was 4.13 log CFU.g-1 in aerobically packed samples, 1.82 log CFU.g-1 in samples treated with garlic oil, the value of CB in vacuum packed samples, in samples treated with fresh garlic and also with dried garlic was lower than 1.00 log CFU.g-1 on 8th day of storage. The number of CB was significantly higher in aerobically packed samples and samples treated with garlic oil compared to vacuum-packed samples, samples treated with fresh garlic and dried garlic on the 8th day of storage (p <0.05). The average number of Pseudomonas spp. was 2.45 in aerobically packed samples, count of Pseudomonas spp. was lower than 1.00 log CFU.g-1 in vacuum packed samples and in the sample with garlic on the 8th day of storage. The number of Pseudomonas spp. was significantly higher in aerobically packed samples in comparison with vacuum-packed samples, samples with fresh garlic, dried garlic, and garlic oil (p <0.05).
Reflection angle/azimuth-dependent least-squares reverse time migration

Seismic images under complex overburdens such as salt are strongly affected by illumination variations due to overburden velocity variations and imperfect acquisition geometries, making it difficult to obtain reliable image amplitudes. Least-squares reverse time migration (LSRTM) addresses these issues by formulating full wave-equation imaging as a linear inverse problem and solving for a reflectivity model that explains the recorded seismic data. Because subsurface reflection coefficients depend on the incident angle, and possibly on the azimuth, quantitative interpretation under complex overburdens requires LSRTM with output in terms of image gathers, e.g., as a function of the reflection angle or angle and azimuth. We have developed a reflection angle- or angle/azimuth-dependent LSRTM method aimed at obtaining physically meaningful image amplitudes interpretable in terms of angle- or angle/azimuth-dependent reflection coefficients. The method is formulated as a linear inverse problem solved iteratively with the conjugate gradient method. It requires an adjoint pair of linear operators for reflection angle/azimuth-dependent migration and demigration based on full wave-equation propagation. We implement these operators in an efficient way by using a mapping approach between migrated shot gathers and subsurface reflection angle/azimuth gathers. To accelerate convergence of the iterative inversion, we apply image-domain preconditioning operators computed from a single de-remigration step. An angle continuity constraint and a structural dip constraint, implemented via shaping regularization, are used to stabilize the solution in the presence of limited illumination and to control the effects of coherent noise. We examine the method on a synthetic data example and on a wide-azimuth streamer data set from the Gulf of Mexico, where we find that angle/azimuth-dependent LSRTM can achieve significant uplift in subsalt image quality, with overburden- and acquisition-related illumination variation effects on angle/azimuth-dependent image amplitudes largely removed.
Determining the Characteristics of the Private Equity Targets: UK Evidence

Academic research on private equity (PE) has been concerned with the management of PE funds, the returns to investors from investments in PE relative to the returns available in public equity markets and, more predominantly, the analysis of the post-investment performance of PE portfolio firms. There has been less research on how PE firms select their investments and the characteristics of their targeted firms. We derive hypotheses, from an agency perspective, on the firm-level characteristics of PE-targeted firms. Uti-lizing data on the population of private companies in the UK, we identify those firms that have received PE investment from the pool of potential investees within the population of private companies and known buyouts, and examine their pre-investment characteristics. Using panel logit regression, we estimate multivariate models determining the probability of PE acquisition and examine the multivariate profiles of targeted firms in relation to our hypotheses on PE selection.
AYUVEDIYA APPROCH TOWARD IRON DEFICIENCY ANAEMIA - A CASE STUDY

Iron deficiency anaemia is a common type of anaemia â€“ a condition in which blood lacks adequate healthy red blood cells. Anaemia symptoms like leave tired and shortness of breath. In Ayurveda, this can considered under the heading Pandu roga. A case of Iron deficiency anaemia with Ayurveda treatment was discussed here.
Shear wave splitting measurements in northeastern Uganda and southeastern Tanzania: corroborating evidence for sublithospheric mantle flow beneath East Africa

Several interpretations of shear wave splitting measurements in East Africa have been proposed, but a comprehensive understanding of seismic anisotropy is lacking vis-à-vis geodynamic processes affecting the African Plate, in part because of geographically limited data coverage. Here, we report new shear wave splitting observations using PKS, SKS and SKKS phases recorded on 17 temporary AfricaArray seismic stations in northeastern Uganda and southeastern Tanzania that help fill key gaps in data coverage in non-volcanic regions of East Africa. The stations in northeastern Uganda straddle the Aswa shear zone, which separates the Neoproterozoic Saharan Metacraton (to the east) and the Palaeoproterozoic Northern Uganda Terrane (to the west). The stations in southeastern Tanzania are located mostly in Karoo basins formed within the Neoproterozoic Mozambique Belt. Our results show NNE fast polarization directions in northeastern Uganda, with splitting times between 1.0 and 1.5 s, and NE directions in southeastern Tanzania, with splitting times between 0.6 and 1.3 s. The NNE fast polarization directions in Uganda cannot be explained with oriented melt pocket (OMP) anisotropy in the lithosphere, as the stations are far from any volcanic fields, or fossil anisotropy resulting from the Neoproterozoic East African orogeny. They are, however, parallel to the flow direction of the African superplume and corroborate previous measurements from northern Uganda that were used to argue that the overall northerly orientation of fast polarization directions across East Africa can be attributed to sublithospheric mantle flow associated with the African superplume. The NE fast polarization directions in Tanzania cannot be explained with SE-oriented fossil anisotropy expected from the Mesozoic rifting of Madagascar from Africa or OMP anisotropy in the lithosphere. However, they are consistent with the overall northerly orientation of fast polarization directions in East Africa and can be attributed to either fossil anisotropy in the Mozambique Belt lithosphere resulting from the East African Orogeny or sublithospheric mantle flow associated with the African superplume.
Improving Pregnant Mothers’ Intention toward HIV Testing through Home-based HIV Test and Education (HOPE) in Jember, Indonesia

The HIV testing program's implementation among pregnant mothers is still not going well due to their intention. Their intention is needed because it can affect pregnant mothers' behavior toward HIV testing. New interventions are needed to solve this problem, such as Home-based HIV Test and Education (HOPE). This study aimed to analyze the influence of HOPE to improve HIV testing intention among pregnant mothers. The pre-experimental design was used with one group pretest-posttest approach—thirty pregnant mothers in Jember following this study and involved by using a purposive sampling technique. The data were collected by using the intention questionnaire and analyzed with the Wilcoxon test. The result showed that pregnant mothers' intention of HIV testing numbers increased from 20 to 27. The results indicate that there is a significant influence of HOPE on the intention of HIV testing in pregnant women (p = 0.033). The Home-based HIV Test and Education (HOPE) intervention can improve pregnant mothers' intention toward HIV testing. The HOPE intervention can reach all pregnant mothers (and their husbands) to discover HIV testing information. Involving their husbands on HOPE intervention encouraged pregnant mothers' intention of HIV testing because their husbands were decision-makers in their family, and pregnant mothers will take HIV testing.
The Structural Characteristics of Biochar and Its Effects on Soil Available Nutrients and Humus Composition

Biomass-derived charcoal,also named biochar,has the characteristics of high stability against decay and high capability of adsorption,so it can influence the environment through interaction with climate and geology.There is significant difference in structural characteristics of biochar which is obtained from wood and agricultural residues by means of different procedures.As one possible source of the components with high aromatic structure in soil humus,biochar is of great importance in improving soil fertility,and in maintaining the balance of soil ecosystem.The aim of the research is to investigate the structural characteristics of biochar and the effects of it when applied to soil on available nutrients and humus composition.The results showed that there was great difference between chemical structures of biochar which was produced by different biomass.Aliphatic property of maize straw-derived biochar was stronger than that of pine-derived biochar and commercial black carbon;Aromaticity and thermal stability was on the contrary;Properties of pine-derived biochar was just intermediate.Biochar could influence the soil properties,after being added to soil and incubated for 45 days,and the content of soil organic matter,humic acid and fulvic acid were more or less increased to different levels.However,humification degree decreased with the increase of incubated time.The application of biochar could also increase the content of available nutrients,especially the content of phosphorus,alcium and magnesium.The decreased ΔlgK of humic acid had a positive impact on the long-term preservation of soil organic carbon.
Does Myocardial Bridge Appear More Frequently and Diffusely on Radial Access Coronary Angiography?

Background: Although the incidence of myocardial bridge (MB) has been defined in different conventional coronary angiography (CCA) studies,the frequency of MB in radial access coronary angiography (RACA) is unknown.The aim of this study was to determine the incidence of MB in patients undergoing RACA.Method: A total of 2600 consecutive patients who underwent RACA were retrospectively investigated to detect the presence of MB.The clinical,laboratory, and angiographic features of the patients with MB were analyzed. Results: MB was detected at an incidence of 10.2%, in 255/2600 patients who underwent RACA.The most involved coronary artery was the left anterior descending artery (LAD) (86.9%) and the mid segment (84.9%) was the most affected section.Co-involvement of multiple coronary arteries by MB was 7.8%. Coronary artery disease (CAD) was determined in 102 (36.2%) of the coronary arteries with MB, 82.4% which were proximal to the MB.Conclusion: These data demonstrated that the incidence of MB able to be detected on RACA was much higher than reported in previous CCA studies.
Comparative Analysis for Personality Prediction by Digital Footprints in Social Media

The use of social media and leaving a digital footprint has recently increased all around the world. It is being used as a platform for people to communicate their sentiments, emotions, and expectations with their data. The data available in social media are publicly viewable and accessible. Any social media network user's personality is predicted based on their posts and status in order to deliver a better accuracy. In this perspective, the proposed research article proposes novel machine learning methods for predicting the personality of humans based on their social media digital footprints. The proposed model may be reviewed for any job applicant during the times of COVID'19 through online enrolment for any organisation. Previously, the personality prediction methods are failed due to the differing perspectives of recruiters on job applicants. Also, this estimation is modernized and the prediction time is also reduced due to the implementation of the proposed hybrid approach on machine learning prediction. The artificial intelligence based calculation is used for predicting the personality of job applicants or any person. The proposed algorithm is organized with dynamic multi-context information and it also contains the account information of multiple platforms such as Facebook, Twitter, and YouTube. The collection of the various dataset from different social media sites constitute to the increase in the prediction rate of any machine learning algorithm. Therefore, the accuracy of personality prediction is higher than any other existing methods. Despite the fact that a person's logic varies from season to season, the proposed algorithm consistently outperforms other existing and traditional approaches in predicting a person's mentality.
Patterns of drug use among type 2 diabetic patients with comorbidities attending a tertiary centre in Lagos Nigeria

Introduction – Diabetes care involves the use of drugs to control hyperglycaemia and treatment of comorbid disorders in order to prevent cardiovascular morbidity and other complications. This study investigated patterns of comorbidities and drug use among diabetic patients at a tertiary centre in Lagos, Nigeria. Method – This was a cross-sectional study carried out among 216 patients with type 2 DM attending Diabetes Clinic of a tertiary centre. Data was captured by using a questionnaire which documented biodata, number of comorbidities, number and combination of drugs for each participant and analysed using SPSS version 18. Results – Comorbidities were present among 215 out of 216 (99.54%) participants and hypertension and dyslipidaemia were the most common comorbid disorders. The number of pills consumed per patient ranged from 1 to10 with a mean of 4.78± 1.73 and 57.4% were on 5 pills or more. Fixed-dose combination was used in 37 (17.1%) of the patients. Majority of the patients were on metformin as monotherapy or in combination therapy. Antihypertensive most prescribed were renin-angiotensin system (RAS) blockers which was prescribed in 73% of participants. Antiplatelet drugs were used for both primary and secondary prevention of CVDs. Statin was used in less than 50% of the population. Double RAS blockade was also observed in 6% of participants. Conclusions – Comorbidities were common in the diabetic population. Pill load was high but appropriate in most patients. Statin uptake was suboptimal while there was increased uptake of antiplatelet drugs among participants.
Technologies and applications of Industry 4.0: insights from network analytics

This paper examines the interactions between Industry 4.0 (I4.0) technology, to include artificial intelligence and the Internet of Things, and industry sectors such as manufacturing, healthcare, delivery of consumer goods, and finance. The landscape of I4.0 technologies is reviewed. Interactions are studied through complex network analysis. Industry data from CrunchBase is used to study the application of I4.0 technology in different industries. The network of 543 industry categories as nodes had 1141 relationships. There were 26 key I4.0 nodes that emerged as network hubs. The relative use of I4.0 technology of companies was identified and interconnections between them were measured by network nodes and edges. Temporal analysis was obtained by dividing companies by date of formation. Some of the I4.0 technologies began to appear around 2000. Younger firms were found to have integrated significantly more I4.0 technologies, as expected. The research provides a review of I4.0 technologies by industry that can be used by management to see what competition is doing, and to generate ideas for maintaining or gaining competitive advantage.
Selective photoelectrochemical reduction of CO2 to CO in an aqueous medium on p-GaP, mediated by Ni cyclam

En presence du catalyseur Ni cyclam 2+ (cyclam=1,4,8,11-tetraazacyclotetradecane), CO 2 est reduit photoelectrochimiquement en CO sur electrode p-GaP en milieu aqueux, des −0,2 V/ENH. La selectivite CO/H 2 est de l'ordre de 5 a 50
A Discussion on How to Apply Smart Data for Precision Marketing in the Global Economy: Asian Context

The aim of the research is to provide support for the application of smart data, precision marketing, and business analysis and in so doing, it is aimed to contribute to the further sustainable development of the economy. At present, intelligent technologies such as artificial intelligence and big data are developing in full swing, and various application scenarios are gradually being launched. Smart data is a new sort of database in combination with artificial intelligence and big data technology, which makes artificial intelligence technology and big data the core concepts and the foundation of digital smart data. With smart data, companies could apply precision marketing to better reach their target consumers, push notifications at the right time, advertise the products and services consumers are interested in, and establish personalised marketing communication with each consumer in order to increase marketing efficiency. Undoubtedly, precision marketing has become the top priority in the development of the digital marketing industry, and it is becoming increasingly popular. The paper is based on this perspective and starts with an overview of smart data. The definition and development status of smart data are first reviewed, followed by an analysis of the application of smart data technology and precision marketing in digital marketing.
Condiciones formativas y laborales de los profesionales sanitarios en formación de la Región de Murcia.

The aim of this study is to analyse, by means of a descriptive study, an analysis of the working conditions of healthcare staff in training in the Murcian Health Service after the implementation of the measures agreed between the Works Committee and the Murcian Health Service (SMS) during the month of November 2020. To this end, a total of 284 responses were collected by means of a direct form including residents of all years, specialities and areas within the SMS. A large majority of trainees are aware of the agreement signed to improve their working conditions. Among the results, it is worth noting that a significant majority do not have an adequate place to rest during the complementary working days known as on call, despite the agreement signed, nor do they have 36 hours of compensatory rest per week. There are insignificant improvements in terms of research, attendance at courses and hours of autonomous training. Knowing the reality in which the residents live after the signing of the agreement serves as a basis for guaranteeing their rights, and for the services, those responsible for teaching and teaching units, to ensure compliance and thus avoid situations such as those seen during the crisis in Specialised Healthcare Training in the Region of Murcia which led to the call for a strike.