Miracle-dz/UniFAR-FTUs huggingface dataset:
Unveiling the dark side in smartphone addiction: mediation of strain and moderation of hedonic use on well-being

PurposeThe research purpose is to investigate the mediating and moderating relationships between smartphone addiction and well-being (i.e. health-related quality of life). Design/methodology/approachA survey of 236 smartphone users was used to test the research model.FindingsThe structural equation modeling analysis results show that smartphone addiction negatively impacts well-being by draining a key personal resource, energy, thus creating strain. The adverse effect of smartphone addiction on users' well-being is found to be more intense when smartphones are used for hedonic purposes.Research limitations/implicationsThrough the conservation of resources theory lens, this study increases our understanding of the role of strain in mediating the negative effect of smartphone addiction on well-being. This study also has practical implications. By exploring the mediating and moderating mechanisms underlying when and how smartphone addiction can be detrimental to well-being, interventions can be carried out to mitigate the adverse effects on well-being.Originality/valuePast research has focused on the antecedents and consequences of smartphone addiction while ignoring the contextual factors of smartphone addiction effects as well as the intervening mechanism through which smartphone addiction impacts well-being. Through the lens of the conservation of resources theory, we close this gap in the literature by providing a better understanding of the mechanism by which smartphone addiction reduces well-being and identifying a relevant contextual factor (i.e. hedonic use) that can worsen the impact of smartphone addiction on well-being.
Possibilistic Thinking: A New Conceptual Tool for Thinking about Extreme Events

A great deal of scholarship defines rational thought in terms of probability theory. An important problem with such an approach is that disasters, particularly large disasters, do not provide us with a meaningful distribution of events that would approximate a normal curve. Here, I propose that using possibilistic thinking can helpfully complement probabilistic thinking regarding risk and disaster. Possibilistic thinking highlights consequences of actions or events, while not ignoring their likelihood of occurrence. I point out the myriad ways that individuals and organizations use possibilistic thinking, even if they do not recognized it as such. I propose several conceptual tools to help discipline a possibilistic approach.
Relational energy and co-creation: effects on hospitality stakeholders’ wellbeing

ABSTRACT Drawing from service-dominant logic and conservation of resources theory, the aim of this study was to examine the integration of relational energy as a complementary operant resource. US respondents (n = 720) participated in a scenario-based online survey depicting value co-creation at a destination resort as customers (N = 360) and front-line employees (N = 360). PROCESS Model and MANOVA results showed that in value co-creation, relational energy had direct and mediated effects on actors’ subjective wellbeing and perceptions of company competitive service advantage (PSCA). Positive appraisal of co-created value served a mediating role for actors’ wellbeing and PSCA. Generations served as a full moderator from relational energy to wellbeing, and partial moderator from co-created value (CCV) to wellbeing. No moderation effect of generations was found between CCV and PCSA, but partial moderation from relational energy to PSCA. This study is the first to identify relational energy as a resource necessary for successful co-creation that improves actors’ wellbeing.
The E3 Ubiquitin Ligase Peli1 Deficiency Promotes Atherosclerosis Progression

Background: Atherosclerosis is a chronic inflammatory vascular disease and the main cause of death and morbidity. Emerging evidence suggests that ubiquitination plays an important role in the pathogenesis of atherosclerosis including control of vascular inflammation, vascular smooth muscle cell (VSMC) function and atherosclerotic plaque stability. Peli1 a type of E3 ubiquitin ligase has emerged as a critical regulator of innate and adaptive immunity, however, its role in atherosclerosis remains to be elucidated. Methods: Apoe−/− mice and Peli1-deficient Apoe−/− Peli1−/− mice were subject to high cholesterol diet. Post sacrifice, serum was collected, and atherosclerotic plaque size and parameters of atherosclerotic plaque stability were evaluated. Immunoprofiling and foam cell quantification were performed. Results: Peli1 deficiency does not affect atherosclerosis lesion burden and cholesterol levels, but promotes VSMCs foam cells formation, necrotic core expansion, collagen, and fibrous cap reduction. Apoe−/− Peli1−/− mice exhibit a storm of inflammatory cytokines, expansion of Th1, Th1, Th17, and Tfh cells, a decrease in regulatory T and B cells and induction of pro-atherogenic serum level of IgG2a and IgE. Conclusions: In the present study, we uncover a crucial role for Peli1 in atherosclerosis as an important regulator of inflammation and VSMCs phenotypic modulation and subsequently atherosclerotic plaque destabilization.
Rhodolith Physiology Across the Atlantic: Towards a Better Mechanistic Understanding of Intra- and Interspecific Differences

Coralline algae are important components in a large variety of ecosystems. Among them, rhodoliths are a group of free-living coralline red algae that cover extensive coastal areas, from tropical to polar regions. In contrast to other ecosystem engineers, limited research efforts preclude our understanding of their physiology, underlying mechanisms, drivers and potential differences related to species under varying environments. In this study, we investigated the photosynthetic and calcification mechanisms of six Atlantic rhodolith species from different latitudes, as well as intra-specific differences in one species from four locations. Laboratory incubations under varying light levels provided simultaneous photosynthesis- and calcification-irradiance curves, allowing the assessment of inter- and intra-specific differences on the coupling between these two processes. Stable isotope analysis and specific inhibitor experiments were performed to characterize and compare carbon-concentrating mechanisms (CCMs), as well as the involvement of specific ion-transporters for calcification. Our findings showed significant differences in rhodolith physiological mechanisms that were partially driven by local environmental conditions (light, temperature). High variability was found in the coupling between photosynthesis and calcification, in CCM-strategies, and in the importance of specific ion transporters and enzymes involved in calcification. While calcification was strongly correlated with photosynthesis in all species, the strength of this link was species-specific. Calcification was also found to be reliant on photosynthesis- and light-independent processes. The latter showed a high plasticity in their expression among species, also influenced by the local environment. Overall, our findings demonstrate that (1) rhodolith calcification is a biologically-controlled process and (2) the mechanisms associated with photosynthesis and calcification display a large variability among species, suggesting potential differences not only in their individual, but also community responses to environmental changes, such as climate change.
Analysis of Worldwide Research on Craft Beer

Beer is popular worldwide and it is considered the oldest and most consumed alcoholic beverage in the world. At the global production level, most of the market is dominated by a few multinational companies, but in recent years, craft beers have gained market share. In addition to being independent and produced on a smaller scale, the main characteristic of craft breweries is their broad differentiation capacity, attracting consumers who demand products that are more committed to sustainability and the environment, as well as being willing to pay higher prices for goods in line with their life philosophy. Their great popularity aroused the interest of researchers throughout the world, leading to the proliferation of a large number of scientific articles that address the production and consumption of craft beer. This research aims to identify and analyze the scientific production that addresses Craft Beer. A bibliometric analysis is used as the methodology to obtain the following information regarding the subject over the years: growth and coverage, article citations (quality indicator), the most relevant authors, etc., which will be useful information for researchers. The two main international databases, WoS and Scopus are used for document tracking and 137 articles are identified. The results show that this is a recent area of study, since researchers only started showing interest in the subject in 2015; 90% of the documents have been published in the last 5 years. Most of the authors are transient with a single authorship, so the production is low (productivity index 1.18). Therefore, the study area is incipient and is considered of great potential for researchers.
Risk Factors for Uterine Disease in Dairy Cows

Uterine diseases are highly prevalent in high-producing dairy cows. Predictors of uterine disease include traditional risk factors, BHBA blood concentration, NEFA blood concentration, neutrophil glycogen stores, and calcium. This 4-page fact sheet was written by Klibs N.A. Galvão and published by the UF Department of Veterinary Medicine-Large Animal Clinical Sciences, May 2012. VM183/VM183: Risk Factors for Uterine Disease in Dairy Cows (ufl.edu)
CNN Implementation on Major Skin Cancer Types Classification and NLP Diagnose Robot System

Skin cancer, abnormal skin cell development, is a common and fatal type of cancer that occurs when skin is exposed to sunlight. Early diagnosis is important to prevent more serious consequences. Implementing a detection system would save more time for doctors and give patients efficient and low-cost diagnoses. In this paper, we built a skin cancer classification system based on Convoluted Neural Network (CNN) for seven majority skin cancers, and Natural Language Processing (NLP), for interaction with a human. We also implemented self-defined CNN, LeNet5, AlexNet, ResNet, VGG-16 in our system to compare their accuracy and discover reasons behind those output data. Finally, our self-defined CNN gets 0.8237 testing accuracy after training, LeNet5 results in 0.4857 testing accuracy, AlexNet produces 0.4715 testing accuracy, ResNet yields 0.8995 testing accuracy, and VGG-16 shown 0.7544 testing accuracy. The result indicates that ResNet-18 performs best through all models.
The role of inflation in financial development–economic growth link in sub-Saharan Africa

Abstract The impact of financial development (FD) on economic growth (EG) is well documented. However, studies on how inflation mediates the impact of FD on EG produce inconclusive findings. Meanwhile, the tripartite relationship among FD, inflation and EG is particularly crucial for sub-Saharan African countries given that these countries are largely inflationary on the back of under-developed financial sectors and low EG. The inconclusive evidence presented by the existing studies limits policy making. This study therefore re-examines whether inflation mediates the FD–EG nexus by utilizing a panel data obtained from 36 countries in sub-Saharan Africa. The study uses the sample splitting threshold approach to investigate this relationship. The findings identify inflation thresholds of 7.65% and 6.76% at which the impact of FD on EG changes sign. Specifically, irrespective of the indicator of FD, higher FD significantly increases EG at low inflation rates. However, beyond the estimated thresholds, the impact of FD on EG is insignificant, revealing that higher inflation does not support the growth-enhancing effect of FD. The research recommends that inflation should be kept below the identified thresholds for FD to spur EG.
Impact of forest–pasture conversion on soil physical and chemical properties

The objective of this paper is to assess the changes in soil physical and chemical properties resulting from the conversion of native forest to pasture and pasture to secondary forest in the state of Santa Catarina, Brazil. Seven forest–pasture successional stages were identified using aerial photographs and satellite images acquired in 1957, 1978, and 2008. Successional stages were coded as FFF, FPF, PFF, PPF, FPP, FFP, and PPP, where the first, second, and third letters refer to the land uses (P, pasture; F, forest) practiced in 1957, 1978, and 2008, respectively. Soil samples were collected by layer at depths of 0–10, 10–20, 20–40, 40–60, 60–80, and 80–100 cm. Clay contents, soil bulk density (Db), macroporosity (MP), microporosity (mP), pH, Aluminum (Al), cation exchange capacity (CEC), calcium (Ca), potassium (K), phosphorus (P), total organic carbon (TOC) content, carbon stock, and δ13C abundance were quantified. Conversion of forest to pasture increased soil P, K, Ca, Db, and mP; and reduced MP, TOC content, and carbon stocks. The largest carbon stocks occurred in sites occupied by forests but previously used as pastures. Forest and pasture age influenced δ13C values, resulting in different isotopic signatures for different sites, confirming the transition from C3 to C4 plants. In 50-year-old pastures, about 66 % of soil TOC is still derived from the primary forest biomass.
“Mommy-see, mommy-do”: perceptions of intergenerational “obesity” transmission among lower-income, higher-weight, rural midwestern American women

Abstract Public health and media discourses frequently blame mothers for the size of their children, including parents coping with multiple structural disadvantages. Rural Midwestern American, low-income, self-identified higher-weight women (n = 25) participated in face-to-face, audio-recorded, semi-structured interviews about their beliefs regarding how body size is transmitted across generations. We analyzed interviews using causation coding. Participants facing socioeconomic and geographic barriers to salutogenic lifestyles de-emphasized genetic and epigenetic factors in body size. Instead, participants focused on parents’ role modeling, provision of “obesogenic” foods, and failure to enact protective behaviors like providing non-“obesogenic” foods and limiting children’s screen time. Findings demonstrate that the moralization of childhood “obesity” is pervasive, and these damaging discourses have been taken up among those facing socioeconomic disadvantage.
Effect of Mn-Based Slurries on Chemical Mechanical Polishing of SiC Substrates

High-efficiency and high-quality chemical mechanical polishing (CMP) of silicon carbide (SiC) substrates was achieved using slurries prepared with manganese oxide (MnO2，Mn2O3) particles. Experimental results showed that the oxidation-reduction potential and zeta potential of these manganese (Mn)-based slurries decreased with increasing pH. For alkaline pH values (> 7), MnO2 particles were converted into strongly oxidizing MnO42- ions that promoted interfacial chemical reactions during CMP, thereby increasing the material removal rate. Observation and analysis of the SiC substrate surface showed that the surface roughness (Ra) reached 1 nm after polishing, but slight surface scratches remained. The binding energy of elemental oxygen (O) and Mn (O1s and Mn2p) indicated that the atoms on the substrate surface underwent an oxidation reaction, which weakened the Si-C molecular bond and thus increased the material removal rate.
Legacy of land-cover changes on soil microbiology in Burgundy vineyards (Pernand-Vergelesses, France)

Present-day soil physicochemical characteristics, land use/land cover (LULC), and field management practices are commonly recognised as the main drivers shaping archaeal/bacterial and fungal communities in vineyard soils. Few studies have investigated the legacy of past land uses on soil microbial biodiversity, yet anthropogenic disturbances have already been proven to affect soil characteristics over decades. In this study, we explore the possibility of long-lasting impacts of forest-to-vineyard conversion on present-day soil archaeal/bacterial and fungal communities after 15 years of vine cultivation.The selected study area is in a Burgundian vineyard (Pernand-Vergelesses, Burgundy, France), where it was possible to reconstruct the history of land cover and land use for the past 40 years. Soil samples were collected from five zones managed under similar pedo-climatic conditions but with different land-use histories (a 70-year-old vineyard, a 15-year-old vineyard converted from pine forest, a 15-year-old vineyard converted from mixed forest, a pine forest and a mixed forest). For each zone, basic physicochemical parameters (organic carbon, total nitrogen, copper, C:N ratio, and soil texture) were measured, and DNA was extracted to characterise the microbial biomass, and also the richness and taxonomic composition of archaeal/bacterial and fungal communities (16S and 18S). Our results show that changes in LULC lead to differential responses in soil microbial biomass, and in archaeal/bacterial and fungal richness and taxonomic composition. After 15 years of cultivation, the present-day microbial biomass and indigenous archaeal/bacterial communities of recent vineyard soils are shown to be partly inherited from past LULC, but no evidence was found of long-term impacts of past land use on fungal communities. Past land-use history should therefore be added to the well-established set of environmental drivers, providing valuable information to explain the spatial variability of soil microbiology, observed at intra-plot, plot, and landscape scales. Integrating the history of changes in LULC is therefore recommended to evaluate and adopt the best strategies to develop sustainable management practices.
Water Cerenkov muon detector near the Angra-II reactor core: the hardware.

We report the installation, near the Angra-II nuclear reactor, of a cosmic muons detector based on the Cerenkov effect in a water tank. The hardware components are described. In addition to details related to the detector design, the description includes the analog signal processing modules and the data acquisition interface to a personal computer. The former includes a preamplifier, a leading-edge discriminator, a rate meter, and a temperature sensing circuit. The latter makes use of a general purpose device named Data Processing Module (DPM), which is here programmed to perform the required operations. Characterization data for every unit are also presented.
Transcriptional and Epigenetic Response to Sedentary Behavior and Physical Activity in Children and Adolescents: A Systematic Review

Background The links of sedentary behavior and physical activity with health outcomes in children and adolescents is well known. However, the molecular mechanisms involved are poorly understood. We aimed to synthesize the current knowledge of the association of sedentary behavior and physical activity (acute and chronic effects) with gene expression and epigenetic modifications in children and adolescents. Methods PubMed, Web of Science, and Scopus databases were systematically searched until April 2022. A total of 15 articles were eligible for this review. The risk of bias assessment was performed using the Joanna Briggs Institute Critical Appraisal Tool for Systematic Reviews and/or a modified version of the Downs and Black checklist. Results Thirteen studies used candidate gene approach, while only 2 studies performed high-throughput analyses. The candidate genes significantly linked to sedentary behavior or physical activity were: FOXP3, HSD11B2, IL-10, TNF-α, ADRB2, VEGF, HSP70, SOX, and GPX. Non-coding Ribonucleic acids (RNAs) regulated by sedentary behavior or physical activity were: miRNA-222, miRNA-146a, miRNA-16, miRNA-126, miR-320a, and long non-coding RNA MALAT1. These molecules are involved in inflammation, immune function, angiogenic process, and cardiovascular disease. Transcriptomics analyses detected thousands of genes that were altered following an acute bout of physical activity and are linked to gene pathways related to immune function, apoptosis, and metabolic diseases. Conclusion The evidence found to date is rather limited. Multidisciplinary studies are essential to characterize the molecular mechanisms in response to sedentary behavior and physical activity in the pediatric population. Larger cohorts and randomized controlled trials, in combination with multi-omics analyses, may provide the necessary data to bring the field forward. Systematic Review Registration [www.ClinicalTrials. gov], identifier [CRD42021235431].
Experiences of male patients with diabetes mellitus with erectile dysfunction

Diabetes mellitus (DM) is a disease or chronic metabolic disorder with multiple etiologies characterized by high blood sugar levels and impaired carbohydrate, lipid, and protein metabolism resulting from insulin function insufficiency. Various complications occur in DM patients, one of which is erectile dysfunction. In men with the same age profile, erectile dysfunction is more common than in non-diabetics. To determine the experience of male patients with diabetes mellitus who suffer erectile dysfunction. Journal search with literature review system using diabetes mellitus and erectile dysfunction. PICO framework as a strategy in article search. The investigation was carried out on PubMed, Scopus, Ebsco, ProQuest, and Science Direct websites. Journal reviews were carried out on four articles, and the research results with article inclusion criteria ranged from 2015-to 2021. The research design used an observational with a cross-sectional approach. The initial search resulted in 329 articles showing high relevance to the topics.
From Big Data Analytics to Organizational Agility: What Is the Mechanism?

In the age of digitalization, big data analytics capabilities are considered one of the most critical organizational resources. Many organizations make considerable investments in these resources with an intention to improve their agility. However, the mechanism to reap agility from big data analytics still requires extensive empirical research and analysis. This study extends the big data analytics model by examining the mediating effects of entrepreneurial orientation between big data analytics capabilities and organizational agility. Partial least squares-structured equation modeling (PLS-SEM) was used to analyze the responses collected from 104 firms in Jordan. Results demonstrate that entrepreneurial orientation explains the relationship between big data analytics capabilities and agility. This finding contributes to the management literature by showing that big data analytics capabilities may enhance firm entrepreneurial orientation. While much of the prior research conceptualized the entrepreneurial orientation of the firm as a static characteristic, the current study argues that big data analytic capabilities play a key role in developing organizational agility through its role in improving entrepreneurial orientation, which subsequently creates value for firms, their customers, and the other stakeholders. Finally, challenges and future scope pertaining to this study are discussed. Recommendations for future studies on this promising topic include the use of longitudinal designs and mixed methods (quantitative with qualitative) approaches to provide researchers with new insights.