Miracle-dz/UniFAR-FTUs huggingface dataset:
System Complexity in Influenza Infection and Vaccination: Effects upon Excess Winter Mortality

Unexpected outcomes are usually associated with interventions in complex systems. Excess winter mortality (EWM) is a measure of the net effect of all competing forces operating each winter, including influenza(s) and non-influenza pathogens. In this study over 2400 data points from 97 countries are used to look at the net effect of influenza vaccination rates in the elderly aged 65+ against excess winter mortality (EWM) each year from the winter of 1980/81 through to 2019/20. The observed international net effect of influenza vaccination ranges from a 7.8% reduction in EWM estimated at 100% elderly vaccination for the winter of 1989/90 down to a 9.3% increase in EWM for the winter of 2018/19. The average was only a 0.3% reduction in EWM for a 100% vaccinated elderly population. Such outcomes do not contradict the known protective effect of influenza vaccination against influenza mortality per se—they merely indicate that multiple complex interactions lie behind the observed net effect against all-causes (including all pathogen causes) of winter mortality. This range from net benefit to net disbenefit is proposed to arise from system complexity which includes environmental conditions (weather, solar cycles), the antigenic distance between constantly emerging circulating influenza clades and the influenza vaccine makeup, vaccination timing, pathogen interference, and human immune diversity (including individual history of host-virus, host-antigen interactions and immunosenescence) all interacting to give the observed outcomes each year. We propose that a narrow focus on influenza vaccine effectiveness misses the far wider complexity of winter mortality. Influenza vaccines may need to be formulated in different ways, and perhaps administered over a shorter timeframe to avoid the unanticipated adverse net outcomes seen in around 40% of years.
The effects of music on cardiorespiratory endurance and muscular fitness in recreationally active individuals: a narrative review

Music is made up of several features (e.g., melody and rhythm) and it accompanies our life in different daily activities. During the last years, there was a growing interest in research about the music-related effects in the exercise domain. Music stimuli could act as an ergogenic effect leading to improvements in health-related and physical fitness components like cardiorespiratory endurance and muscular fitness. Moreover, listening to music may positively affect individuals’ psychological state which could lead to increased exercise adherence. Conflicting data exist regarding the effects of music on cardiorespiratory and muscle-strengthening exercises indicating that music’s characteristics (i.e., rhythm and musicality), studied samples (i.e., athletes and amateur) and methodology (i.e., self-selected music and research-selected music) might influence the results. Listening to music while exercising is becoming more frequent also in recreationally active individuals. While literature mainly focused on the effects of music in elite and amateur athletes, little data are available regarding recreationally active participants. Therefore, this review aims to summarize evidence regarding the effects of music on health-related physical fitness components in recreationally active individuals, specifically referring to cardiorespiratory endurance and muscular fitness. These outcomes will be helpful to all recreationally active participants to optimize the exercise protocol with the use of music.
Reply to ‘Challenging the hypothesis of an arctic ocean lake during recent glacial episodes’ by Hillaire‐Marcel, et al

Hillaire‐Marcel et al. bring forward several physical and geochemical arguments against our finding of an Arctic glaciolacustrine system in the past. In brief, we find that a physical approach to further test our hypothesis should additionally consider the actual bathymetry of the Greenland–Scotland Ridge (GSR), the density maximum of freshwater at 3–4°C, the sensible heat flux from rivers, and the actual volumes that are being mixed and advected. Their geochemical considerations acknowledge our original argument, but they also add a number of assumptions that are neither required to explain the observations, nor do they correspond to the lithology of the sediments. Rather than being additive in nature, their arguments of high particle flux, low particle flux, export of 230Th and accumulation of 230Th, are mutually exclusive. We first address the arguments above, before commenting on some misunderstandings of our original claim in their contribution, especially regarding our dating approach.
Association Between Weight Change and Increased Likelihood of Abdominal Aortic Calcification Among Men

Abstract Objective We aimed to explore the effect of weight change on abdominal aortic calcification (AAC) among men. Methods Data were obtained from the 2013 to 2014 National Health and Nutrition Examination Survey (NHANES). Self-reported cardiovascular disease patients were excluded. Lateral spine images were used to quantify AAC score and severe AAC was defined as a AAC score greater than 6. Weight change over a 10-year period was defined as long-term weight change, and weight change over a 1-year period was defined as short-term weight change. The relationship between long-term and short-term weight change with AAC grade was estimated by using multivariable regression analysis and subgroup analysis. Results After adjusting for covariates, weight gain, especially severe weight gain (> 10 kg), was associated with increased likelihood of AAC and severe AAC both in the short term (1 year) and long term (10 years) among men when compared to stable weight change, while long-term weight loss could also lead to an increased likelihood of AAC and severe AAC. Conclusion Stable body weight might be a predictor of a lower risk of AAC and severe AAC among men in the long term and short term.
Machine Learning Based on Diffusion Kurtosis Imaging Histogram Parameters for Glioma Grading

Glioma grading plays an important role in surgical resection. We investigated the ability of different feature reduction methods in support vector machine (SVM)-based diffusion kurtosis imaging (DKI) histogram parameters to distinguish glioma grades. A total of 161 glioma patients who underwent magnetic resonance imaging (MRI) from January 2017 to January 2020 were included retrospectively. The patients were divided into low-grade (n = 61) and high-grade (n = 100) groups. Parametric DKI maps were derived, and 45 features from the DKI maps were extracted semi-automatically for analysis. Three feature selection methods [principal component analysis (PCA), recursive feature elimination (RFE) and least absolute shrinkage and selection operator (LASSO)] were used to establish the glioma grading model with an SVM classifier. To evaluate the performance of SVM models, the receiver operating characteristic (ROC) curves of SVM models for distinguishing glioma grades were compared with those of conventional statistical methods. The conventional ROC analysis showed that mean diffusivity (MD) variance, MD skewness and mean kurtosis (MK) C50 could effectively distinguish glioma grades, particularly MD variance. The highest classification distinguishing AUC was found using LASSO at 0.904 ± 0.069. In comparison, classification AUC by PCA was 0.866 ± 0.061, and 0.899 ± 0.079 by RFE. The SVM-PCA model with the lowest AUC among the SVM models was significantly better than the conventional ROC analysis (z = 1.947, p = 0.013). These findings demonstrate the superiority of DKI histogram parameters by LASSO analysis and SVM for distinguishing glioma grades.
Estimation of Panel Data Models with Random Interactive Effects and Multiple Structural Breaks when T is Fixed

Abstract In this article, we propose a new estimator of panel data models with random interactive effects and multiple structural breaks that is suitable when the number of time periods, T, is fixed and only the number of cross-sectional units, N, is large. This is done by viewing the determination of the breaks as a shrinkage problem, and to estimate both the regression coefficients, and the number of breaks and their locations by applying a version of the Lasso approach. We show that with probability approaching one the approach can correctly determine the number of breaks and the dates of these breaks, and that the estimator of the regime-specific regression coefficients is consistent and asymptotically normal. We also provide Monte Carlo results suggesting that the approach performs very well in small samples, and empirical results suggesting that while the coefficients of the controls are breaking, the coefficients of the main deterrence regressors in a model of crime are not.
Atorvastatin suppresses lipopolysaccharide-induced inflammation in human coronary artery endothelial cells

The present study was designed to examine the effects of atorvastatin on vascular inflammatory responses in human coronary artery endothelial cells (HCAECs), when challenged by lipopolysaccharide (LPS), a Toll-like receptor-4 (TLR4) ligand. HCAECs were pretreated with atorvastatin and induced by LPS. The expression of TLR4, interleukin -6(IL-6), monocyte chemoattractant protein 1(MCP-1), vascular cell adhesion molecule-1 (VCAM-1), intercellular adhesion molecular-1(ICAM-1), nuclear factor- κ B (NF- κ B) and p38 mitogen activated protein kinase(p38 MAPK) were evaluated using Real-time polymerase chain reaction, cytokine ELISA assay and Western blotting. The results showed that pretreatment with atorvastatin down-regulated the expression of TLR4 in LPS-activated HCAECs. Atorvastatin also attenuated the LPS-induced expression of interleukin IL-6 and MCP-1, at both the transcription and translation level in HCAECs. LPS-induced endothelial cell adhesion molecules, ICAM-1 and VCAM-1 expression were also reduced by pretreatment with atorvastatin. Furthermore, atorvastatin efficiently suppressed LPS-induced phosphorylation of NF- κ B and p38 MAPK in HCAECs. These findings show that atorvastatin suppresses endothelial cell inflammation, suggesting that atorvastatin may be suitable for development as a therapeutic agent for inflammatory cardiovascular disease.
Feature-guided wave-based health monitoring of bent plates using fiber Bragg gratings

Harnessing of ultrasonic guided waves confined in local features such as bends and welds, known as feature-guided waves, has emerged as a promising technique for non-destructive testing and structural health monitoring of industrial and aerospace structures. This article introduces a fiber Bragg grating based technique which uses feature-guided waves to detect anomalies or defects in plate structures with transverse bends. We are able to obtain good consistency between simulation and experimental results, both in the case of defect-free bent plates and those with transverse defects. Such results establish fiber Bragg gratings as a viable alternative to conventional techniques for structural health monitoring of bent plates.
The katydid country: bioacoustics and ecology of tettigoniid communities from the Indian subcontinent

ABSTRACT The study provides the first description of acoustic communities from a subtropical rainforest in Northeast India and a previously unexplored site from the Western Ghats. We describe call structures of 15 katydid species from the Indian subcontinent. The habitat and seasonal variations of the communities were investigated at both sites. Most species observed produced ultrasonic broadband calls (bandwidth: 11.07–42.5 kHz); only two Pseudophyllinae members produced pure tone calls. The study includes calls of two previously undescribed species of the genus Ducetia (subfamily: Phaneropterinae) from the subcontinent. We observed diverse acoustic communities at both sites represented by five major subfamilies: Conocephalinae, Hexacentriane, Mecopodinae, Phaneropterinae and Pseudophyllinae. The acoustic communities at each site exhibited seasonal variations and habitat preferences. The post-monsoon season had a richer community composition than the dry season. We compared differences in the community compositions between habitats using a presence–absence matrix based on 526 individuals from the two sites. Species composition was found to be different among habitats (stress = .06, dimension: 2), with ANOSIM indicating separation of species among understorey, shrubland and grassland habitats.
Formulation and Evaluation of Nano Lipid Carrier-Based Ocular Gel System: Optimization to Antibacterial Activity

The present research work was designed to prepare Azithromycin (AM)-loaded nano lipid carriers (NLs) for ocular delivery. NLs were prepared by the emulsification–homogenization method and further optimized by the Box Behnken design. AM-NLs were optimized using the independent constraints of homogenization speed (A), surfactant concentration (B), and lipid concentration (C) to obtain optimal NLs (AM-NLop). The selected AM-NLop was further converted into a sol-gel system using a mucoadhesive polymer blend of sodium alginate and hydroxyl propyl methyl cellulose (AM-NLopIG). The sol-gel system was further characterized for drug release, permeation, hydration, irritation, histopathology, and antibacterial activity. The prepared NLs showed nano-metric size particles (154.7 ± 7.3 to 352.2 ± 15.8 nm) with high encapsulation efficiency (48.8 ± 1.1 to 80.9 ± 2.9%). AM-NLopIG showed a more prolonged drug release (98.6 ± 4.6% in 24 h) than the eye drop (99.4 ± 5.3% in 3 h). The ex vivo permeation result depicted AM-NLopIG, AM-IG, and eye drop. AM-NLopIG exhibited significant higher AM permeation (60.7 ± 4.1%) than AM-IG (33.46 ± 3.04%) and eye drop (23.3 ± 3.7%). The corneal hydration was found to be 76.45%, which is within the standard limit. The histopathology and HET-CAM results revealed that the prepared formulation is safe for ocular use. The antibacterial study revealed enhanced activity from the AM-NLopIG.
Identifying the impact of COVID-19 on health systems and lessons for future emergency preparedness: A stakeholder analysis in Kenya

The coronavirus pandemic (COVID-19) has triggered a public health and economic crisis in high and low resource settings since the beginning of 2020. With the first case being discovered on 12th March 2020, Kenya has responded by using health and non-health strategies to mitigate the direct and indirect impact of the disease on its population. However, this has had positive and negative implications for the country’s overall health system. This paper aimed to understand the pandemic’s impact and develop lessons for future response by identifying the key challenges and opportunities Kenya faced during the pandemic. We conducted a qualitative study with 15 key informants, purposefully sampled for in-depth interviews from September 2020 to February 2021. We conducted direct content analysis of the transcripts to understand the stakeholder’s views and perceptions of how COVID-19 has affected the Kenyan healthcare system. Most of the respondents noted that Kenya’s initial response was relatively good, especially in controlling the pandemic with the resources it had at the time. This included relaying information to citizens, creating technical working groups and fostering multisectoral collaboration. However, concerns were raised regarding service disruption and impact on reproductive health, HIV, TB, and non-communicable diseases services; poor coordination between the national and county governments; shortage of personal protective equipment and testing kits; and strain of human resources for health. Effective pandemic preparedness for future response calls for improved investments across the health system building blocks, including; human resources for health, financing, infrastructure, information, leadership, service delivery and medical products and technologies. These strategies will help build resilient health systems and improve self-reliance, especially for countries transitioning from donor aid such as Kenya in the event of a pandemic.
International Conference on Alternative Energy in Developing Countries and Emerging Economies Fuel Properties of Bio-Pellets Produced from Selected Materials under Various Compacting Pressure

The purpose of this study is to investigate the fuel properties of biomass pellets prepared from six different biomasses: bamboo sawdust, eucalyptus sawdust, corn cob, rubber tree branches, palm fibre and lippia grass. These materials were milled into small particles less than 5 mm before binderless pelletization using the labscale hydraulic press under forces of 56-166 MPa for 20 seconds into the pellets. Thermal degradation of each biomass was analyzed by TGA. The increase in compaction pressure makes the L/D ratio of pellets decrease and the pellet density increase, and rather maintained the constant value after 139 MPa was applied. Moreover, higher applied pressure also gave the pellets with higher tensile strength and less water impermeability. © 2015 The Authors. Published by Elsevier Ltd. Peer-review under responsibility of the Organizing Committee of 2015 AEDCEE.
Body-Esteem, Self-Esteem and Loneliness among Social Media Young Users

The use of social networking sites for socializing, having fun, solving academic tasks or even getting counselling for health-related problems is now inevitable. Methods: A total of 427 medical students, who are users of social media sites, were included in the research. Data about socio-demographic, anthropometric, and self-rated items regarding satisfaction with physical and mental health were collected. Three psychological tools were also used to measure self-esteem (Rosenberg Self-Esteem Scale), body-esteem (Body Esteem Scale for Adolescents and Adults) and loneliness (UCLA Loneliness Scale). Collected data were analyzed using SPSS version 23. Results: Students use these networks for socialization (49.0%), entertainment (31.1%) and academic tasks (19.9%), spending 3.38 ± 0.80 h per day on SNSs. Less than half of them (47.5%) compared themselves to other SNS profiles. The use of Snapchat was found to be strongly positively correlated with self-esteem, and weight status was negatively correlated with the use of TikTok. More than three-quarters declared that they exercised to lose weight or to prevent weight gain. Participants were found to have a high level of body esteem. Almost half of the students proved to have a moderate to a high level of loneliness. Age and gender were found to be important: the younger the user, the higher the scores for loneliness and feeling depressed, and the greater the number of hours on SNSs. The total score for self-esteem was significantly higher in men than in women, and male students appreciated themselves as being in a better state of mental health than women. Conclusions: The results prove a relationship between the use of SNSs and the presence of loneliness, self-esteem and body-esteem, with gender differences. However, the use of SNSs should not be neglected in clinical settings, and are a good means of reaching patients and providing medical and psychological intervention.
DROPOUT FACTORS IN HIGHER EDUCATION: A LITERATURE REVIEW

ABSTRACT Dropping out of Higher Education is an international concern with an impact on Higher Education Institutions, in general, and on individual career paths, in particular. In order to prevent this phenomenon and support both institutions and students in their decision-making, it is urgent to identify evasion factors in higher education. A review made in published articles in international scientific journals between January 2014 and December 2018 is presented, based on the Longitudinal Institutional Evasion Model. The search was carried out in four databases, with combinations of the keywords dropout, departure, academic adjustment, college adjustment, academic integration, social integration, and higher education. Twenty-four articles that met the inclusion criteria were fully read. The articles were described and the content was systematized in meta-synthesis. Factors related to attributes prior to entering higher education were identified; objectives and commitments prior and subsequent to this entry; institutional experiences; academic and social integration. Evasion signaling measures were also identified. Implications for research, services and policies of Higher Education Institutions are discussed.
Impact of Social Determinants of Health on Women’s Satisfaction with Their Sexual Life and Its Relationship with the Use of Psychotropic Drugs: A Cross-Sectional Study

Sexual satisfaction (SS) is defined as an affective response arising from one’s subjective evaluation of the positive and negative dimensions associated with one’s sexual relationship. It is an important indicator of health. In women, SS has an important personal component consisting of the physical experiences of pleasure and the positive feelings and emotions that they experience in their affective-sexual relationships. The socioeconomic position is determined by income, educational level, and work, and it conditions women’s sexual health. We aimed to assess whether social determinants of health (income, education, work, and gender) are associated with women’s sexual satisfaction and to identify whether the impact of social determinants on sexual satisfaction differs with psychotropic consumption. We conducted a cross-sectional study designed to assess the association between variables related to the social determinants of health (work, education, income, and gender) and sexual satisfaction in women of reproductive age in La Rioja (Spain). The women in this study ranged in age from 17 to 52 years, with a mean age of 33.4 (Standar Deviation 8.6). Most were Spanish (82.9%), had undertaken non-compulsory specialized education (84%), and worked (72.7%). Regarding their relationships, 87% maintained monogamous relationships, 84.5% had stable relationships, and 65.7% lived with their partners. In total, 12.3% of the women were taking psychotropic drugs prescribed for the treatment of anxiety and/or depression. We observed that SS is significantly lower among women who have only undertaken compulsory education (Student-t = −4.745; p < 0.01), in those who have unstable affective-sexual relationships (Student-t = −2.553; p < 0.01), and in those who take psychotropic drugs (Student-t = −4.180, p < 0.01). We conclude that the social determinants of health such as education, not continuing to study beyond compulsory education, gender, and taking psychoactive drugs have a significant impact on women’s degree of satisfaction with their sexual life.
Surgical Treatment in Hidradenitis Suppurativa

Hidradenitis suppurativa (HS) is a chronic, progressive inflammatory disorder of follicular occlusion with pubertal onset that presents as painful inflammatory nodules, sinus tracts, and tunnelling in apocrine-gland-rich areas, such as the axilla, groin, lower back, and buttocks. The disease course is complicated by contractures, keloids, and immobility and is often associated with a low quality of life. It is considered a disorder of follicular occlusion with secondary inflammation, though the exact cause is not known. Management can often be unsatisfactory and challenging due to the chronic nature of the disease and its adverse impact on the quality of life. A multidisciplinary approach is key to prompt optimal disease control. The early stages can be managed with medical treatment, but the advanced stages most likely require surgical intervention. Various surgical options are available, depending upon disease severity and patient preference. In this review an evidence-based outline of surgical options for the treatment of HS are discussed. Case reports, case series, cohort studies, case-control studies, and Randomized Clinical Trials (RCT)s available in medical databases regarding surgical options used in the treatment of HS were considered for the review presented in a narrative manner in this article.