Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring the drivers of variation in trophic mismatches: A systematic review of long‐term avian studies

Abstract Many organisms reproduce in seasonal environments, where selection on timing of reproduction is particularly strong as consumers need to synchronize reproduction with the peaked occurrence of their food. When a consumer species changes its phenology at a slower rate than its resources, this may induce a trophic mismatch, that is, offspring growing up after the peak in food availability, potentially leading to reductions in growth and survival. However, there is large variation in the degree of trophic mismatches as well as in its effects on reproductive output. Here, we explore the potential causes for variation in the strength of trophic mismatches in published studies of birds. Specifically, we ask whether the changes in the degree of mismatch that have occurred over time can be explained by a bird's (a) breeding latitude, (b) migration distance, and/or (c) life‐history traits. We found that none of these three factors explain changes in the degree of mismatch over time. Nevertheless, food phenology did advance faster at more northerly latitudes, while shifts in bird phenology did not show a trend with latitude. We argue that the lack of support in our results is attributable to the large variation in the metrics used to describe timing of food availability. We propose a pathway to improve the quantification of trophic mismatches, guided by a more rigorous understanding of links between consumers and their resources.
A 7-month inhalation toxicology study in C57BL/6 mice demonstrates reduced pulmonary inflammation and emphysematous changes following smoking cessation or switching to e-vapor products

Cigarette smoking causes serious diseases, including lung cancer, atherosclerotic coronary artery disease, peripheral vascular disease, chronic bronchitis, and emphysema. While cessation remains the most effective approach to minimize smoking-related disease, alternative non-combustible tobacco-derived nicotine-containing products may reduce disease risks among those unable or unwilling to quit. E-vapor aerosols typically contain significantly lower levels of smoke-related harmful and potentially harmful constituents; however, health risks of long-term inhalation exposures are unknown. We designed a 7-month inhalation study in C57BL/6 mice to evaluate long-term respiratory toxicity of e-vapor aerosols compared to cigarette smoke and to assess the impact of smoking cessation (Cessation group) or switching to an e-vapor product (Switching group) after 3 months of exposure to 3R4F cigarette smoke (CS). There were no significant changes in in-life observations (body weights, clinical signs) in e-vapor groups compared to the Sham Control. The 3R4F CS group showed reduced respiratory function during exposure and had lower body weight and showed transient signs of distress post-exposure. Following 7 months of exposure, e-vapor aerosols resulted in no or minimal increase in pulmonary inflammation, while exposure to 3R4F CS led to impairment of lung function and caused marked lung inflammation and emphysematous changes. Biological changes observed in the Switching group were similar to the Cessation group. 3R4F CS exposure dysregulated the lung and nasal tissue transcriptome, while these molecular effects were substantially lower in the e-vapor group. Results from this study demonstrate that in comparison with 3R4F CS, e-vapor aerosols induce substantially lower biological responses including pulmonary inflammation and emphysematous changes, and that complete switching from CS to e-vapor products significantly reduces biological changes associated with CS in C57BL/6 mice.
Knowledge, Practices and Factors Affecting Exclusive Breastfeeding among Lactating Mothers with Babies aged 6 months to 1 year attending Magomeni Reproductive and Child Health Clinic, Kinondoni, Dar es Salaam: Descriptive Cross Sectional Study

Background: Exclusive Breastfeeding defined as the infant has to receive only breast milk from his/her mother with the exception of other kinds of food for six months. Exclusive Breastfeeding helps to prevent diseases to infants and it reduces risk of ovarian cancer to mother.Methodology: Descriptive cross sectional study was conducted among 124 lactating mothers with infants aged 6 months to one year attending Magomeni RCH Clinic in Kinondoni, Dar es Salaam. Simple random sampling procedure was used to obtain 124 lactating mothers. Data was collected from mothers who agreed to participate and signed the consent form by the use of close ended Swahili version questionnaire on assessing knowledge, practices and factors affecting Exclusive Breastfeeding among Lactating Mothers with Babies aged 6 months to 1 year attending Magomeni Reproductive and Child Health Clinic in Kinondoni district, Dar es Salaam.Result: About 74 (59.7%) respondents had high knowledge on EBF and 92 (74.2%) respondents initiated breastfeeding within one hour after delivery while 77 (62.1%) practiced exclusive breastfeeding. Findings show that 64(51.6%) respondents denied that exclusive breastfeeding causes loss of shape of their breasts while 48 (38.7%) respondents accepted that exclusive breastfeeding causes loss of shape of their breasts. Only 12 (9.7%) respondents didn’t know if EBF causes loss of breasts shape or not. Moreover, 19 (15.3%) respondents had physical difficulties/problems like cracking of nipples, inadequate milk, while 105(84.7%) didn’t get any physical difficult. Therefore there is significant association between mothers belief of losing shapes of their breasts and EBF (p=0.05). Physical difficulties/problems to lactating mothers study is significantly associated with EBF (p = 0.000). Conclusion: The overall knowledge among the lactating mothers with babies aged six months to one year was high and had good exclusive breast feeding practice. Although majority of the respondents are knowledgeable about EBF, the results show a gap between knowledge and actual practice within six months which is a recommended duration for Exclusive Breast feeding.
THE UTILIZATION OF DIGITAL MARKETING FOR MICRO, SMALL, AND MEDIUM ENTERPRISES

The purpose of this study was to find out the benefits of the implementation of digital marketing for MSMEs in Jakarta. The applied method was a quantitative approach using a descriptive-analytical method. Samples were taken using a random sampling technique with a total sample of 200 MSMEs. However, those that meet the criteria were 112 MSMEs. The results showed that the sales variable and awareness variable simultaneously had a significant effect on the digital marketing-understanding variable.
International convergence in population happiness: evidence from recent data

ABSTRACT In the immense literature on convergence of income and many other variables, this is the first study to consider cross-country convergence in population happiness from large international samples based on data from World Happiness Report (WHR). Three main points stand out. First, WHR data yield significant evidence that is supportive of unconditional beta-convergence in happiness across countries. Second, the evidence is also consistent with sigma-convergence in terms of coefficient of variation. Third, the implied speed of beta-convergence is close to the ‘iron law’ of about 2% per year. Information from World Database of Happiness, which is for earlier years and covers a shorter period, also indicates sigma-convergence in terms of both standard deviation of logarithms and coefficient of variation. It indicates beta-convergence too, but at a slower pace. These findings seem important and reassuring in the context of the frequent worries about lack of income convergence in broad groups of developed and developing countries and the implied possible increase in inequality across countries.
Studying the Thermally Activated Processes Operating during Deformation of hcp and bcc Mg–Li Metal-Matrix Composites

Stress-relaxation tests were performed during plastic deformation at room temperature of three magnesium Mg–Li alloys reinforced with 10 vol% of short Saffil fibers. For comparison, the composite with the Mg matrix was studied. The time dependencies of the stress decrease were analyzed with the aim to determine the activation volume and the main types of thermally activated processes occurring during plastic flow. The Mg4Li matrix alloy exhibited the hcp structure, while the composite with the Mg12Li matrix alloy had the bcc structure. The third alloy, Mg8Li, combined both phases, hcp and bcc. The stress acting in the matrix was divided into two components: the internal stress and the effective stress. Activation volume and stress-sensitivity parameters were determined as a function of effective stress and strain. While the values of the activation volume depending on the effective stress lay on one “master” curve, the strain dependence was different for all materials. The main thermally activated process in the hcp structure was the dislocation motion in the noncompact planes, while in the bcc structure, massive recovery processes connected with an increase in dislocations were identified.
Facial Paralysis Detection on Images Using Key Point Analysis

The inability to move the muscles of the face on one or both sides is known as facial paralysis, which may affect the ability of the patient to speak, blink, swallow saliva, eat, or communicate through natural facial expressions. The well-being of the patient could also be negatively affected. Computer-based systems as a means to detect facial paralysis are important in the development of standardized tools for medical assessment, treatment, and monitoring; additionally, they are expected to provide user-friendly tools for patient monitoring at home. In this work, a methodology to detect facial paralysis in a face photograph is proposed. A system consisting of three modules—facial landmark extraction, facial measure computation, and facial paralysis classification—was designed. Our facial measures aim to identify asymmetry levels within the face elements using facial landmarks, and a binary classifier based on a multi-layer perceptron approach provides an output label. The Weka suite was selected to design the classifier and implement the learning algorithm. Tests on publicly available databases reveal outstanding classification results on images, showing that our methodology that was used to design a binary classifier can be expanded to other databases with great results, even if the participants do not execute similar facial expressions.
Investigation of the Synergic Effect of the Colistin/ Sulbactam Combination in Carbapenem-Resistant Acinetobacter baumannii complex Strains with Time-Kill and Checkerboard Methods

Introduction: Infections caused by carbapenem-resistant Acinetobacter strains have become very common in recent years, and the most frequently used medicinal treatment is colistin. Combination treatments should also be applied to prevent development of resistance to colistin. This study examines the in vitro synergic effect of the colistin/sulbactam combination in carbapenem-resistant Acinetobacter strains with the time-kill and checkerboard methods. Materials and Methods: Twenty carbapenem-resistant Acinetobacter baumannii-calcoaceticus complex strains, which were isolated from various clinical samples, were included in this study. Strains were identified with mass spectrometry, and antibiotic sensitivity results were determined with the VITEK 2® system. The in vitro effect and synergic activity of the colistin, sulbactam, and colistin/ sulbactam combination on the carbapenem-resistant strains were determined using the time-kill and checkerboard methods. Seventeen strains were examined with the time-kill method, and twenty strains were examined using the checkerboard method. The fractional inhibitory concentration index of strains was calculated for detection of synergic effect. Results: Using the time-kill method applied on the colistin/sulbactam combination showed that the combination had a synergic effect on all 17 strains, while sulbactam alone did not have a bactericidal effect in the studied concentrations. When applying the checkerboard method, it was determined that the colistin/sulbactam combination had a synergic effect on 17 of the strains (85%) and an additive effect on 3 strains (15%), sulbactam had a low effect alone (15%), and colistin was effective on all strains. Conclusion: Study results indicated that the colistin/sulbactam combination had a high level of synergic effect on all studied strains using both methods.
A realist approach to thematic analysis: making sense of qualitative data through experiential, inferential and dispositional themes

ABSTRACT Thematic analysis (TA) is the most widely used method for analysing qualitative data. Recent debates, highlighting the binary distinctions between reflexive TA grounded within the qualitative paradigm and codebook TA with neo-positivist orientations, have emphasized the existence of numerous tensions that researchers must navigate to produce coherent and rigorous research. This article attempts to resolve some of these tensions through developing an approach to TA underpinned by realist philosophy of science. Focusing on interview data, we propose the use of three types of themes (experiential, inferential and dispositional) and the use of corresponding validity indicators (empirical adequacy, ontological plausibility and explanatory power). Using an illustrative example, we outline the conceptual foundations of a realist approach to TA and present recommendations for conducting it in practice. This approach, we claim, reconciles several existing binaries between distinctive types of TA by incorporating the contributions of both for the development of different types of themes.
Conservation reliance and its influence on support for carnivore recovery

The number of species reliant on consistent human intervention is rising. These species are labeled conservation‐reliant, which affords them unique resources to propagate them. A conservation reliance designation has important implications for recovery of large carnivores, particularly where private lands encompass historical ranges. As a policy tool, a conservation reliance designation may be used in conjunction with other popular instruments such as financial incentives or co‐governance to promote coexistence between carnivores and key cohorts such as landowners and hunters, who are often vocal dissidents of carnivore recovery, especially wolf recovery projects. Yet, the nascent literature on conservation reliance has yet to address the influence of conservation reliance on landowner or hunter support for carnivore conservation. This paper fills this gap with an analysis of responses from 639 landowners to explore the influence of a conservation reliance designation on intention to coexist with wild red wolves (Canis rufus) in northeast North Carolina. Findings suggest that respondents living in the red wolf recovery zone generally oppose a conservation reliance designation, a critical means to red wolf recovery. Hence, a conservation reliance designation may actually erode the value of some species they intend to preserve. Disapproval of conservation reliance poses new confronts to restoration politics and its diversity of strands, which must be woven into new ways of thinking about the ethical and political aspects of carnivore policy and management.
A two-dimensional approach to travel motivation in the context of the COVID-19 pandemic

ABSTRACT Travel motivation has been discussed as an important topic in the tourism crisis literature. However, previous studies have largely focussed on demotivational factors in the context of crises. This study explores motivators and demotivators to travel during the COVID-19 pandemic. By interviewing potential tourists and tourism destination managers, this study finds evidence for a need of a two-dimensional reasoning that draws on Herzberg’s two-factor theory to understand and restore travel motivation during a lingering global health crisis. Primary travel motives in the context of COVID-19 include the socio-psychological needs for mental wellbeing and social connectedness. Health and safety risks and risk of the travel experience represent dominant travel demotivators. However, tourists are somewhat resilient and employ risk reduction strategies during travel. This study contributes to the tourism crisis literature by uncovering tourists’ needs in the context of an ongoing global health crisis.
Age at menopause and the correlates of natural menopause among urban and rural women in the southern Nigeria

Background: Menopause, the point in a woman’s life when permanent cessation of cyclical menstruation occurs for a period of 12 months due to the loss of ovarian activity marking the end of reproductive lifespan and potential. Natural menopause is a physiological event, universal women phenomenon and irreversible part of the entire normal aging process. It brings the menopausal woman for preventive health care services due to its associated health implications. This study sought to investigate the age at menopause and its correlates in southern Nigerian women.Methods: A cross-sectional survey of datasets of women from two different communities attending annual religious conference was conducted using tested semi-structured researcher-administered questionnaire in 2019.Results: Data was analyzed on 152 participants from an urban and a rural communities. Mean chronological age was 58.8±8.8 years and parity was 6.4±2.2. Mean age at menopause was 50.0±4.6 years, median (IQR) 50.0 (47-53) and 49.2±4.7 versus 50.5±4.5 and median (IQR) 49.5 (46-51) and 50.5 (47-54) for urban and rural participants respectively. 1.3%, 9.2%, 69.7% and 19.7% were premature, early, normal and late onset menopause respectively. Risk of early onset menopause was insignificantly increased by higher education, social class, lower BMI and low parity. Forgetfulness (20.3%), irritability (19.5%), hot flushes (17.3%) and insomnia (16.5%) were the leading symptoms. Main complications were chronic hypertension 62 (40.8%), diabetes mellitus 12 (7.9%) and 4 (2.6%) recent fractures.Conclusions: Age at menopause was moderate, early menopause was rather high, programmed preventive healthcare services should address modifiable risk factors. Cancer screening services for late onset women is equally crucial.
Segmenting International Tourists Based on the Integration of Travel Risk Perceptions and Past Travel Experience

ABSTRACT Perceived travel risks arise from the uncertain and undesirable consequences associated with traveling to a destination. These perceived risks could make tourists feel reluctant to travel to a particular destination, or conversely may tempt some to visit a certain destination to feed their taste for adventure. Tourists may not perceive and react to the same types and degrees of risk in the same manner. This is due to their socially constructed knowledge and past experience associated with related incidents, which result in such incidents being perceived differently. Therefore, this paper has three purposes. First, it examines travel risk dimensions as perceived by international tourists. Second, it seeks to segment international tourists based on a combination of protective motivation theory (perceived vulnerability and severity) and travel use history theories (past travel experience). Third, it determines how each segment employs risk reduction strategies as self-protective behaviors. Thailand was chosen as the location for the study. Using perceived vulnerability and severity of risk perceptions as cluster variates, the cluster analysis of 511 questionnaires resulted in three segments of tourists being identified, with varying degrees of risk propensity and personal profiles. Their risk reduction strategies were examined. Practical and theoretical implications are also offered.
Does Information Asymmetry Affect Dividend Policy? Analysis Using Market Microstructure Variables

This study analyzes the relationship between information asymmetry and dividend policy in an emerging market, Korea. We adopt several proxies for information asymmetry, such as the Glosten–Harris and Hasbrouk–Foster–Viswanathan models, drawn from market microstructure literature. This study finds a negative relationship between information asymmetry and dividend yields, which appears to be particularly strong when firms have difficulty raising external capital because they have high systematic risk, financial constraints, or low stock liquidity. This result, based on an analysis using market microstructure variables that provide direct measures of information asymmetry, suggests that the pecking order theory holds for the Korean stock market and that information asymmetry is a strong determinant of dividend policy decisions in an emerging market.
Optimization of Flow Rate and Pipe Rotation Speed Considering Effective Cuttings Transport Using Data-Driven Models

Effectively transporting drilled cuttings to the surface is a vital part of the well construction process. Usually, mechanistic models are used to estimate the cuttings concentration during drilling. Based on the results from these model, operational parameters are adjusted to mitigate any nonproductive time events such as pack-off or lost circulation. However, these models do not capture the underlying complex physics completely and frequently require updating the input parameters, which is usually performed manually. To address this, in this study, a data-driven modeling approach is taken and evaluated together with widely used mechanistic models. Artificial neural networks are selected after several trials. The experimental data collected at The University of Tulsa–Drilling Research Projects (in the last 40 years) are used to train and validate the model, which includes a wide range of wellbore and pipe sizes, inclinations, rate-of-penetration values, pipe rotation speeds, flow rates, and fluid and cuttings properties. It is observed that, in many cases, the data-driven model significantly outperforms the mechanistic models, which provides a very promising direction for real-time drilling optimization and automation. After the neural network is proven to work effectively, an optimization attempt to estimate flow rate and pipe rotation speed is introduced using a genetic algorithm. The decision is made considering minimizing the required total energy for this process. This approach may be used as a design tool to identify the required flow rate and pipe rotation speed to acquire effective hole cleaning while consuming minimal energy.
The Construct of Subjective Economic Inequality

Economic inequality has been associated with a host of social ills, but most research has focused on objective measures of inequality. We argue that economic inequality also has a subjective component, and understanding the effects of economic inequality will be deepened by considering the ways that people perceive inequality. In an American sample (N = 1,014), we find that some of the key variables that past research has found to correlate with objective inequality also correlate with a subjective measure of inequality. Across six countries (N = 683), we find that the relationship between subjective inequality and different psychological variables varies by country. Subjective inequality shows only modest correlations with objective inequality and varies by sociodemographic background.