Miracle-dz/UniFAR-FTUs huggingface dataset:
Journal of Personality and Social Psychology: Attitudes and Social Cognition

Attitudes and Social Cognition © 2021 American Psychological Association {THIS IS NOT THE OFFICIAL PUBLISHED DOCUMENT} ISSN: 0022-3514 https://doi.org/10.1037/pspa0000248 Dampening Affect Via Expectations: The Case of Ambivalence Geoffrey R. O. Durso, Richard E. Petty, Pablo Briñol, Joseph J. Siev, Lucas D. Hinsenkamp, and Vanessa Sawicki 1 Department of Marketing, DePaul University 2 Department of Psychology, The Ohio State University 3 Department of Psychology, The Autonomous University of Madrid 4 Nationwide Mutual Insurance Company, Columbus, Ohio, United States 5 Department of Psychology, The Ohio State University—Marion People often form attitudes based on a mixture of positive and negative information. This can result in mixed evaluative reactions that are associated with feeling conflicted and undecided (i.e., felt ambivalence). In the present research, we examined whether expectations of receiving mixed information could dampen felt ambivalence compared to situations where the mixed information was instead unexpected. In six experiments, expectancies of receiving mixed information—either explicitly provided or implied via patterns of behavior —led people to feel less ambivalent about a target person who had engaged in mixed social behaviors. Expectations of mixed information reduced felt ambivalence to receipt of such information in comparison to having no explicit expectancies (Studies 1–3, 5–6), negative expectancies (Study 2), positive expectancies (Study 3), and compared with expectancies formed merely on the basis of behavioral patterns (Study 4). The extent to which people felt that their expectancies of mixed information regarding the target were confirmed (vs. disconfirmed) significantly accounted for the reductions in felt ambivalence. Finally, lower felt ambivalence via manipulated expectations accounted for reduced decision time in a workplace simulation about recommending promotion or termination of an employee (Study 6). Overall, these findings bridge the extensive literatures in attitudes, social judgment, and expectations, showing that expecting mixed information can lead to reductions in felt ambivalence that have consequences for behavior.
EFL Students’ Perception of Speaking Course through Debating Process during the Pandemic

Speaking is one of four crucial skills in English language learning. The pupils communicate and share their thoughts by language in their everyday life. They use language to make an order, to communicate with others, to express their emotions, thoughts and ideas. Speaking is one of the subjects in an English Education Department, the researcher inspired to evaluate whether the debating method increase the student’s speaking skill or not, especially during the outbreak of the corona virus. As the impact of this virus matter, education is one of some fields got impacted, so schools and universities are closed for more than a year. The new way of teaching learning could be a challenge for both students and instructors. Moreover, there is a need to know on how the students’ perception toward the teaching learning process via video conference, was it feel the same. However, this paper investigates the EFL students’ perception of speaking courses through the debating process during the pandemic. This study employing qualitative narrative inquiry. The data gathered from some the experiences of three Indonesian EFL students in university. The author was done collected the data conducted a semi-structured interview using a call through messages application. The study found that the participants’ perceptions toward speaking course conducted via video conference encourage their critical thinking, their team-work, students’ social skill and their interest towards the subject. It seems that the debate technique is impacted the students positively by promoting their critical thinking, social skill, team work and students’ satisfaction towards the subject.
Analisis Dampak Pandemi COVID-19 terhadap Pelayanan Imunisasi pada Anak Impact Assessment of COVID-19 on Immunization Service for Children

Background: Coronavirus Disease 2019 (COVID-19) or the coronavirus disease caused by the SARS-CoV-2 virus has become a concern around the world, especially in Indonesia. As of January 31, 2021, the total cases of COVID-19 infection in the world reached 103 million with 2.22 million cases. The COVID-19 pandemic threatened to have an impact on health progress and particularly on children's development due to the obstruction of immunization services as a national program. Objective: This study aims to assess the impact of the COVID-19 pandemic on child immunization services. Methods: The method used was a narrative literature review conducted by synthesizing and analyzing 4 search engines including ProQuest, ScienceDirect, Pubmed, and SpringerLink. The search for this manuscript found 22 texts that matched the specified topic, namely the impact of the presence of COVID-19 on immunization services in children, searched for the keywords immunization, COVID-19, immunization service, and child. Results: The COVID-19 pandemic has an impact on changes in immunization services for children who have become obstructed, reduced service coverage, perceptions of parents reflecting the high demand for immunization, and an impact on health status, namely by carrying out routine immunizations resulting in trained immunity and generating immunity. Conclusion: COVID-19 has a special impact on child immunization services. Immunization services must continue to run and carry out according to applicable standards following local government policies by taking into account the principles and guidelines given. Collaboration between the government, the community, non-governmental organizations, and health professionals are needed to prevent a double burden during the COVID-19
IDD-HPO: A Proposed Model for Improving Diabetic Detection using Hyperparameter Optimization and Cloud Mapping Storage

Readmission to the hospital is an important and critical procedure for the quality of health care as it is very costly and helps in determining the quality level of the point of care provided by the hospital to the patient. This paper proposes a group model to predict readmission by choosing between Machine Learning and Deep Learning algorithms based on performance improvement. The algorithms used for Machine Learning are Logistic Regression, K-Nearest Neighbors, and Support Vector Machine, while the algorithms used for Deep Learning are a Convolutional Neural Network and Recurrent Neural Network. The reasons for the appearance of the efficiency of the model depend on the are preparation of correct parameters and the values that control the learning. This paper aims to enhance the performance of both machine learning and deep learning based readmission models using hyperparameter optimization in both Personal Computer environments and Mobile Cloud Computing systems. The proposed model is called improving detection diabetic using hyperparameter optimization , the proposed model aims to achieve the best rate of between prediction rate accuracy for hospital readmission at the same time minimizing resources such as time delay and energy consumption. Results achieved by proposed model for Logistic Regression, K-Nearest Neighbors, and Support Vector Machine are (accuracy=0.671, 0.883, 0.901, time delay=5, 7, 20, and energy consumed=25, 32, 48) respectively, for Recurrent Neural Network and Convolutional Neural Network are (accuracy=0.854, 0.963, time delay=25, 660 energy consumed=89, 895) respectively. However, this proposed model takes a lot of time and energy consumed especially in Convolutional Neural Network. So, the experiments were conducted again, but in the cloud environment, based on the existence of two types of storage to preserve the accuracy but decreasing time and energy, the proposed model in cloud environment achieve for Logistic Regression, K-Nearest Neighbors, and Support Vector Machine (accuracy=0.671, 0.883, 0.901, time delay=2, 3, 8, and energy consumed=8, 9, 11) respectively, for Recurrent Neural Network, Convolutional Neural Network (accuracy=0.854, 0.963, time delay=15, 220, and energy consumed=20, 301) respectively. Keywords—Machine learning; deep learning; diabetes; hospital readmission; hyper parameter optimization; cloud computing; mobile cloud computing
The Cultural Assessment Model as an Evaluation Indicator for Nutritional Adequacy in Pregnant Women with Pre-eclampsia

BACKGROUND: Pre-eclampsia is one of the complications of pregnancy in many communities with low socioeconomic conditions. The lack of intake of quality nutrition can be a precipitating factor in the occurrence of this complication. AIM: This study aims to find out the nutritional adequacy for pregnant women through the transcultural model assessment using correlational design and a cross-sectional approach in pregnant women at the third trimester. MATERIALS AND METHODS: The diagnosis of pre-eclampsia was identified through a blood pressure of 140/90 mmHg and proteinuria. There were 222 samples with purposive sampling. The data were obtained through questionnaires and the interview results were used as secondary data. The data were analyzed using the Chi-square test, odds ratio (OR) with confidence intervals (CI) of 95%, and the alpha value of 0.05. RESULTS: The analysis of the nutritional adequacy with the incidence of pre-eclampsia confirmed that the carbohydrate with OR of 5.250 (OR = 3.545, 95% CI = 2.098, 13.158), folic acid (OR = 16,838, 95% CI = 2.222, 127.64), and vegetable (OR of 4.00, 95% CI = 1.619, 9.885) which are related to the incidence of pre-eclampsia. CONCLUSION: The fulfillment of the daily nutrition of pregnant women is greatly influenced by the culture and myth developed in society. An assessment using the transcultural model approach can give a lot of information about the influence of culture in pregnant women’s daily life.
Commensals of underground mammals: European mole (Talpa europaea, Eulipotyphla, Talpidae) and the greater mole-rat (Spalax microphthalmus, Rodentia, Spalacidae)

Abstract. Stepanova I, Andreychev A, Kulakhmetov R, Lobachev E. 2021. Commensals of underground mammals: European mole (Talpa europaea, Eulipotyphla, Talpidae) and the greater mole-rat (Spalax microphthalmus, Rodentia, Spalacidae). Biodiversitas 22: 4665-4670. The study of lodgers of burrows of underground mammals was carried out using the method of hunting cylinders (cans). In the study, 29 different representatives from the following classes were identified in the courses of the greater mole-rat and European mole: Diplopoda, Chilopoda, Gastropoda, Insecta, Amphibia, and Mammalia. Among the vertebrates captured are Eurasian common shrew (Sorex araneus), Eurasian pygmy shrew (Sorex minutus), bank vole (Clethrionomys glareolus), common spadefoot toad (Pelobates fuscus), moor frog (Rana arvalis), and common toad (Bufo bufo). Twenty-six different species have been identified among invertebrates. Many animals seek shelter in the burrows of underground mammals from enemies and adverse climatic factors for food or conditions for reproduction. In the central part of Russia, more species of commensals were found in European mole burrows (29) than in greater mole-rat burrows (21).
The Effect of N-Acetylcysteine on Oxidant/Antioxidant Status in Irradiated Rats

N-Acetylcysteine (NAC) is both a strong antioxidant and a glutathione precursor. The effect of NAC on the oxidant/antioxidant status of some tissues of the irradiated rats was investigated. Twenty one rats were assigned to 3 groups; the control group, the irradiation group, for which physiological saline solution was administered as i.p. for three days and then, 9 Gy gamma irradiation was applied, and 3 irradiation + NAC group for which NAC was administered as i.p. for three days as 300 mg/kg body weight and then the same dose of irradiation was applied. Upon irradiation, the increase determined in malondialdehyde (MDA) was significant in the liver, kidney, and brain tissues of the rats (P˂0.05). While glutathione peroxidase (GSH-Px) activity decreased in all of the tissues and superoxide dismutase (SOD) activity only in the liver (P˂0.01), glutathione (GSH) levels significantly increased in the kidney and ovarium tissues (P˂0.001). While NAC administration returned the increased MDA levels in the kidney and brain as a result of irradiation to normal levels (P˂0.05), it was determined that it did not return the increased MDA levels in the liver tissue to the normal level (P˂0.001). While NAC addition led to a significant increase in GSH levels of the liver, heart, spleen, brain and ovarium tissues compared to both control and irradiation groups, it caused a significant decrease in the kidney tissue compared to irradiation group (P˂0.001). As a result of NAC addition, a significant decrease was determined in spleen GSH-Px activity, heart and ovarium SOD activity compared to control and irradiation groups (P˂0.05). It can be asserted that GSH increasing by the addition of NAC is the main antioxidant that has a role in decreasing oxidative stress occurring as a result of irradiation. In the examination of MDA values, it was found that the addition of NAC protected the kidney and brain against the oxidative damage induced by irradiation but NAC addition could remain insufficient for the liver.
Let’s Get Loud: Intersectionally Studying the Super Bowl’s Halftime Show

The study of popular culture has always been closely related to the study of class, gender, race, and sexuality. An increasing number of authors have called for an intersectional approach. However, the contradictory, fluid meanings articulated in popular culture render such an approach difficult, and many ignore the call for intersectional analysis. We will not. We will try to engage with an intersectional analysis of popular culture, using Shakira and Jennifer Lopez’s performance at the 2020 Super Bowl Halftime Show as a case to study the intersections of identity markers. We aim to bridge the different meanings attributed to their performance and to understand them as different elements in the intersectional configuration. A discourse analysis of the performance, and of reviews thereof, was performed to unravel five elements highlighted in the discourse: the quality of the show, Shakira and Lopez’s empowered performances, the incorporation of Latinidad elements, the performers’ sexiness, and perceived political messages. Our aim to understand how the contradictory discourses about these elements arose urges the reader to use listening to grapple with the complexity of intersectional analysis. Truly listening includes putting effort into opening up academic cultures, finding other voices. It is important to recognize global gender inequity, but we need to start investing far more to understand the politics of media representations as a transnational affair that causes multiple conceptions of gender (and other related) concepts to clash, mesh, and integrate.
NATURAL HABITAT OF BALI STARLING (Leucopsar rothschildi) IN BALI BARAT NATIONAL PARK, INDONESIA

The Indonesian tropical savannas and dry forests provide habitats to various endemic wildlife. Unfortunately, a few of these endemic species are now seriously threatened and are red listed in the conservation status of International Union for Conservation of Nature (IUCN). Among these species, the Bali starling or Bali mynah Leucopsar rotschildi, locally known as Jalak Bali, is now mostly restricted to the Bali Barat National Park. Given the high extinction risk faced by such species, conservation programs require multidisciplinary approaches that would address both the biological attributes of the species itself and their habitat requirements. Regrettably, for many species, their habitat ecology remains inadequately understood. Hence, this study aimed to: 1. characterize the Bali starling habitat in terms of structure and floristic composition; and 2. document evidences of vegetation cover changes in the Bali Barat National Park. Analysis of remote sensing imagery and field sampling for vegetation attributes were conducted to address these objectives. Normalized Difference Vegetation Index (NDVI) was calculated from Landsat imageries using red and near infrared bands. Tree cover percentage data were downloaded from Vegetation Continuous Fields (VCF) of the University of Maryland’s website. Results showed that forest and savanna are the dominant land cover types in the Bali Barat National Park. However, their distribution is somewhat dynamic with changes in vegetation cover and greenness found across the years which increase the cover of woody plants is the general trend. The Bali starling in the Bali Barat National Park is mostly found at or near distinct vegetation boundaries, such as the borders between savanna and forest, savanna and cropland, savanna and shrubland, settlement and cropland and, between forest and shrubland. Although Cekik in Jembrana, Bali and Brumbun Bay in West Bali, as the conservation sites for Bali starling, are both planted with tree species providing shelter and food for Bali starling, the bird has not been seen in the two areas since the 1990s. These results further confirm the importance of examining the habitat patterns of endemic birds within a landscape that are influenced by multiple factors interacting in space and time. Addressing data inadequacy in habitat patterns of endemic species distribution is crucial in developing conservation management strategies. Hence, evaluating the habitat remnants of the Bali starling is vital for its conservation and needed reintroduction and eventual release to its natural habitat.
Making Sense and Giving Sense: an exploratory case study of line managers' and employees' sensemaking, sensegiving and attributions of a digital assessment tool

The implementation of digital technologies is a complex process, involving many uncertainties and different actors. Ongoing research has been trying to understand digitalization and the effect these different actors have on the successful implementation of new technologies. However, the front-line manager’s role during digitalization is currently still under studied, even though these managers are the last link between organizational management and the workforce. Therefore, this study utilized the concepts of sensemaking and sensegiving to further understand the critical role of line managers during digital change, and their effect on the workforce. Additionally, aspects of attribution theory were used as a complement to gain deeper insights on how line managers and employees form causal explanations and how these attributions impact their behavior/attitudes. More specifically, the study aimed to discover how sensemaking and sensegiving efforts by front-line managers influence employees’ attributions, attitudes and behavior towards digitalization. Through a single case study in an organization implementing a digital assessment tool, the sensemaking, sensegiving, and attributions within four operational teams were analyzed. Since, this implementation of a digital assessment tool was considered a semidigitalization, the findings of the research have been used to generate propositions. These propositions include how and why line managers’ and employees’ form attributions, make sense, and give sense of more advanced digital technologies, and the effect sensegiving can have on other’s sensemaking process during digitalization. In brief, the study proposes that line managers can positively or negatively impact the reactions, attitudes, and behaviors of employees depending on how clearly they communicated the added value of the technology, how the technology works, and why the change is happening. Furthermore, the case study also demonstrated that sensemaking and sensegiving is negatively impacted by a digital tool which is not easy to use or customized for the target audience. Therefore, organizations should aim to inform front-line managers about the added value and functionality of a technology. Then these managers can appropriately give sense to the employees. Ultimately, This will increase the positive reactions and reduce the resistance to the digital change, which could minimize time and money investments required for a successful implementation.
Identification and Analysis of Stunting Risk Factors in Children under Three Years of Age in the Area of Kampar Watershed

Growth and development that is not optimal is a form of chronic malnutrition, one of which is marked by height for age which is below the standard deviation (<-2 SD) and is called stunting. Stunting has a negative impact on children's motor development, reduces children's performance in school, increases the risk of excess nutrition, infectious diseases, and even death as well as reduces productivity in adulthood. The purpose of this study was to identify risk factors for stunting in people living in the Kampar watershed. This research is a mixed-method with an explanatory sequential design which is a modification of (1–3). The research was carried out on people living in the Kampar river basin. The priority areas for specific stunting reduction interventions in this study are the Work Areas of the Kampar Kiri Hulu II Health Center, the Koto Kampar XIII Health Center, and the Kampar Kiri Health Center. This study found that the dominant factors of the five variables were home sanitation and parenting, as both affected the incidence of stunting. The findings obtained are different from the results of data analysis obtained from interviews, observations, and descriptive statistics. Based on the results of data analysis from interviews, observations, and descriptive statistics, it was found that all variables of the three factors became the main factors that had a close relationship with the incidence of stunting in the community in the Kampar watershed.
Investigation of Inflammatory and Oxidative Stress Biomarkers in Multi Vessels Minimally Invasive Coronary Artery Bypass Graft Surgery Versus Off-Pump Coronary Artery Bypass Graft

Department of Cardiothoracic Surgery, Faculty of Medicine, Assiut University, P.O. Box 71515, Assiut, Egypt Department of Anesthesia and Intensive Care Unit, Faculty of medicine, Assiut University, P.O. Box 71515, Assiut, Egypt Department of Medical Bioinformatics, Egyptian E-learning University, Egypt Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Assiut University, Assiut, Egypt
Numerical Study and Theoretical Comparison of Outlet Hole Geometry for a Gravitational Vortex Turbine

The gravitational water vortex turbine is an alternative to renewable energies, it transforms the hydrokinetic energy of the rivers into electric energy and it does not require a reservoir. According to studies carried out, the hydraulic efficiency can increase or decrease according to the turbine geometrical configuration. This paper presents a numerical (CFD) and analytical comparison between conical and cylindrical designs for the outlet. The results show a higher performance for conical geometry than the cylindrical tank. The fluid behavior in CFD and analytical studies presents a tangential velocity increase near to air core and outlet hole (similar behavior). The maximum theoretical power generated was 167 W and 150 W for conical and cylindrical design respectively. The differences between geometries of the outlet holes using CFD and analytical models were 11 and 7%, respectively. However, the closest results to the CFD model had different values of 31 and 29% for conical and cylindrical design, respectively. The furthest result regarding the CFD study was 55%. The principal difference is due to tank geometry, the change in discharge zone, as well as the ratio of diameter tank and outlet hole can increase or decrease the tangential velocity and make a stronger and more stable vortex formation. The theoretical power generated is a good parameter to select the height to place the rotor.