Miracle-dz/UniFAR-FTUs huggingface dataset:
Sustainability through Resilient Collaborative Housing Networks: A Case Study of an Australian Pop-Up Shelter

The UN Sustainable Development Goal “Sustainable Cities and Communities” foregrounds access to adequate, safe, and affordable housing. However, housing as a sector has faced significant sustainability challenges. Countries such as Australia face unaffordable house prices, bottlenecks in social housing supply, and escalating homelessness. To address these challenges, the sector has turned to traditional government-led interventions meant to influence supply and demand. We argue that alongside these traditional approaches, there is a need for multi-stakeholder collaboration in resilient networks that create novel niche solutions, one being pop-up shelters or dwellings established in vacant structures. This study’s main aim is to identify key elements of these resilient, collaborative actor–networks. We mobilise actor–network theory concepts in a qualitative case study involving one of Australia’s first pop-up shelters. Findings from semi-structured interviews suggest that resilient networks exhibit distributed leadership, the ability to selectively interrogate entrenched routines, and the ability to mobilise differentiated levels of convergence. Such resilient networks play an important role in the development of environmentally and socially sustainable housing solutions. While often ad hoc, these networks can be made systematic through the selective use of digital technologies which do not compromise the more contingent, adaptive features of networks which are critical to resilience.
Recurrent Neural Network-Augmented Locally Adaptive Interpretable Regression for Multivariate Time-series Forecasting

Explaining dynamic relationships between input and output variables is one of the most important issues in time dependent domains such as economic, finance and so on. In this work, we propose a novel locally adaptive interpretable deep learning architecture that is augmented by recurrent neural networks to provide model explainability and high predictive accuracy for time-series data. The proposed model relies on two key aspects. First, the base model should be a simple interpretable model. In this step, we obtain our base model using a simple linear regression and statistical test. Second, we use recurrent neural networks to re-parameterize our base model to make the regression coefficients adaptable for each time step. Our experimental results on public benchmark datasets showed that our model not only achieves better predictive performance than the state-of-the-art baselines, but also discovers the dynamic relationship between input and output variables.
Olea europea L. Leaves and Hibiscus sabdariffa L. Petals Extracts: Herbal Mix from Cardiovascular Network Target to Gut Motility Dysfunction Application

It is well known that diet and nutrition play a critical role in the etiopathogenesis of many disorders. On the other hand, nutrients or bioactive compounds can specifically target and control various aspects of the mechanism underlying the pathology itself, and, in this context, diseases related to intestinal motility disorders stand out. The Herbal Mix (HM) consisting of Olea europea L. leaf (OEE) and Hibiscus sabdariffa L. (HSE) extracts (13:2) has been proven to be a promising nutraceutical option for many diseases, but its potential in inflammatory-driven gastrointestinal disorders is still unexplored. In this study, HM effects on guinea-pig ileum and colon contractility (induced or spontaneous) and on human iNOS activity, as well as on human colorectal adenocarcinoma Caco-2 cells, were studied. Results showed that the HM can control the ileum and colon contractility without blocking the progression of the food bolus, can selectively inhibit iNOS and possesses a strong pro-apoptotic activity towards Caco-2 cells. In conclusion, the present results suggest that, in some diseases, such as those related to motility disorders, an appropriate nutritional approach can be accompanied by a correct use of nutraceuticals that could help not only in ameliorating the symptoms but also in preventing more severe, cancer-related conditions.
Metabolic Phenotyping in Prostate Cancer Using Multi-Omics Approaches

Simple Summary Prostate cancer (PCa) is a hormone-dependent tumor characterized by a highly heterogeneous clinical outcome. This neoplastic process has become a leading cause of cancer worldwide, with over 1.4 million new cases and a total of 375,000 deaths in 2020. Despite the efforts to improve the diagnosis, risk stratification, and treatment of PCa patients, a number of challenges still need to be addressed. In this context, integration of different multi-omics datasets may represent a powerful approach for the development of novel metabolic signatures that could contribute to the clinical management of PCa patients. This review aims to provide the most relevant findings of recently published multi-omics studies with a particular focus on describing the metabolic alterations associated with PCa. Abstract Prostate cancer (PCa), one of the most frequently diagnosed cancers among men worldwide, is characterized by a diverse biological heterogeneity. It is well known that PCa cells rewire their cellular metabolism to meet the higher demands required for survival, proliferation, and invasion. In this context, a deeper understanding of metabolic reprogramming, an emerging hallmark of cancer, could provide novel opportunities for cancer diagnosis, prognosis, and treatment. In this setting, multi-omics data integration approaches, including genomics, epigenomics, transcriptomics, proteomics, lipidomics, and metabolomics, could offer unprecedented opportunities for uncovering the molecular changes underlying metabolic rewiring in complex diseases, such as PCa. Recent studies, focused on the integrated analysis of multi-omics data derived from PCa patients, have in fact revealed new insights into specific metabolic reprogramming events and vulnerabilities that have the potential to better guide therapy and improve outcomes for patients. This review aims to provide an up-to-date summary of multi-omics studies focused on the characterization of the metabolomic phenotype of PCa, as well as an in-depth analysis of the correlation between changes identified in the multi-omics studies and the metabolic profile of PCa tumors.
Delivery in water, experience in a population of Mexican women in Mexico City

Background: Labor is a physiological process during which the fetus, the membranes, the umbilical cord, and the placenta are expelled from the uterus and water delivery has become popular, although its prevalence is unknown, it is supported by healthy women with full-term pregnancies, without complications; although there is insufficient evidence to support or discourage it. Objective : To identify obstetric and neonatal outcomes and complications in women who delivered in water and to compare them with traditional deliveries. Material and methods: It is a retrospective, observational and cross-sectional study, where 2486 women were included from a database of 4223 women assisted from 2004 to 2020 in private hospitals; Of the 2486 patients included, 1025 had a water delivery and 1461 had a conventional delivery, discarding 1737 women who underwent caesarean section from the study. The information obtained from the patients, their data obtained for this study were kept in the anonymity of the patients, where they were analyzed: non-parametric data reported in percentages using Chi-square ; Parametric, perinatal and neonatal data are reported as mean plus Standard Deviation (± SD) and analyzed using Student’s T, using the SPSS version 25 statistical package. Results: A total of 2486 women were included in this study, the birth in 1025 was water delivery (24%) and 1461 was conventional delivery (35%), 1737 caesarean section (41%) were excluded from the study, no difference was observed maternal age; unlike weight, height, body mass index; they were higher in women with water birth compared to conventional. No difference was demonstrated between nulliparous (45.99%) and multiparous (53.86%) when comparing both births in water and conventional; only increase in previous cesarean sections (9.36 vs 6.5%, p = 0.008) and decrease in previous abortions (16.19 vs 20.94%, p = 0.002) in water delivery with the conventional one; complications were not different: administration of oxytocin (3.2 vs 3.1) or postpartum hemorrhage (0.29 vs 0.13) in both deliveries; no differences in first degree perineal tears (21.4 vs 18.5%); Only for the second and third-degree was it greater in conventional delivery than in water delivery (6.6 vs 11.4%, p = 0.00), (0 vs 2.8%) respectively, only 1.9% of deliveries in water that required epidural block ended in delivery conventional. Conclusion : Water birth reduces stress, pain sensation, second and third-degree perineal lacerations and contributes to better newborn outcomes; the selection and inclusion of patients with low-risk pregnancies allow better perinatal results than conventional delivery; but, further studies are required to use it routinely.
Nutrition in Abrupt Sunlight Reduction Scenarios: Envisioning Feasible Balanced Diets on Resilient Foods

Abrupt sunlight reduction scenarios (ASRS) following catastrophic events, such as a nuclear war, a large volcanic eruption or an asteroid strike, could prompt global agricultural collapse. There are low-cost foods that could be made available in an ASRS: resilient foods. Nutritionally adequate combinations of these resilient foods are investigated for different stages of a scenario with an effective response, based on existing technology. While macro- and micronutrient requirements were overall met, some—potentially chronic—deficiencies were identified (e.g., vitamins D, E and K). Resilient sources of micronutrients for mitigating these and other potential deficiencies are presented. The results of this analysis suggest that no life-threatening micronutrient deficiencies or excesses would necessarily be present given preparation to deploy resilient foods and an effective response. Careful preparedness and planning—such as stock management and resilient food production ramp-up—is indispensable for an effective response that not only allows for fulfilling people’s energy requirements, but also prevents severe malnutrition.
Lab-Based Retrospective 10-Year Analysis Shows Seasonal Variation of Vaginal Candida Infection Rates in Belgium

Candida vulvovaginitis is a frequent condition, and although several risk factors are known, its behavior is still enigmatic. The seasonal influence of climate conditions and living habits on its prevalence was studied. In a retrospective lab-based cohort over 10 years, we studied the prevalence of Candida in 12,941 vaginal cultures taken from women attending a vulvovaginitis clinic. The prevalence of non-albicans and albicans species were compared per month to detect differences in positivity rates in summer versus winter months. Chi-square and chi-square for trend were used. Of the 2109 (16.3%) Candida spp. positive swabs, 201 (1.0%) revealed non-albicans species, varying between 1.0% and 2.0% per month, but without significant monthly differences. Over the 10 years, compared to other months, vaginal Candida was more frequent in June (19.0%, p = 0.008) and less frequent in December (14.5%, p = 0.04). The Candida prevalence was 15.5% in summer (June/July/August) versus 14.0% in the winter (Dec/Jan/Feb, p = 0.04). Change in temperature, dietary habits, and bodily adaptations due to increased amount of sunlight were discussed as potential pathophysiological mechanisms to explain the excess of Candida in summertime. Further confirmatory research would be beneficial. Women at risk for Candida vulvovaginitis should pay more attention to living habits in summertime to avoid recurrences.
Asymmetric Linkages of Oil Prices, Money Supply, and TASI on Sectoral Stock Prices in Saudi Arabia: A Non-Linear ARDL Approach

This study examines the asymmetric effects of oil prices, money supply, and the Tadawul All Share Index (TASI) on sectoral stock prices in Saudi Arabia. By applying a nonlinear auto-regressive distributive lag (NARDL) approach to monthly data spanning from January 2007 to December 2016, we found that the positive shocks of oil prices were more than the negative ones in the building and construction, energy and utilities, and petrochemical sectors, while higher oil prices adversely influenced the stock price of the bank and financial service sector. We identified the long-run and short-run asymmetric relationships of the Saudi stock market development on the stock prices of bank and financial services, energy and utilities, and the petrochemical sector and only a long-running asymmetric relationship with the building and construction sector. We also found the absence of long-run and short-run asymmetric impact of money supply on three sectors, namely, building and construction, energy and utilities, and the petrochemical sector except for the bank and financial service sector where only a long-running asymmetric relation was observed. These findings are appropriate for investors and portfolio managers to make judicious investment decisions. Policymakers should diversify their economic sectors apart from the oil dependencies to achieve the Vision 2030.
3D Stereophotogrammetric Quantitative Evaluation of Posture and Spine Proprioception in Subacute and Chronic Nonspecific Low Back Pain

The literature shows that low back pain causes a reduced lumbar range of movement, affecting patients’ proprioception and motor control. Nevertheless, studies have found that proprioception and motor control of the spine and posture are vague and individually expressed even in healthy young adults. This study aimed to investigate the standing posture and its modifications induced by an instinctive self-correction manoeuvre in subacute and chronic nonspecific low back pain (NSLBP) patients to clarify how NSLBP relates to body upright posture, proprioception, and motor control and how these are modified in patients compared to healthy young adults (121 healthy young adults: 57 females and 64 males). A cohort of 83 NSLBP patients (43 females, 40 males) were recruited in a cross-sectional observational study. Patients’ entire body posture, including 3D spine shape reconstruction, was measured using a non-ionising 3D optoelectronic stereophotogrammetric approach. Thirteen quantitative biomechanical parameters describing the nature of body posture were computed. The statistical analysis was performed using multivariate methods. NSLBP patients did not present an altered proprioception and motor control ability compared to healthy young adults. Furthermore, as for healthy subjects, NSLBP patients could not focus and control their posture globally. Proprioception and motor control in natural erect standing are vague for most people regardless of gender and concurrent nonspecific low back pain. Self-correction manoeuvres improving body posture and spine shape must be learned with specific postural training focusing on the lumbar spine.
Basal Parasitic Fungi in Marine Food Webs—A Mystery Yet to Unravel

Although aquatic and parasitic fungi have been well known for more than 100 years, they have only recently received increased awareness due to their key roles in microbial food webs and biogeochemical cycles. There is growing evidence indicating that fungi inhabit a wide range of marine habitats, from the deep sea all the way to surface waters, and recent advances in molecular tools, in particular metagenome approaches, reveal that their diversity is much greater and their ecological roles more important than previously considered. Parasitism constitutes one of the most widespread ecological interactions in nature, occurring in almost all environments. Despite that, the diversity of fungal parasites, their ecological functions, and, in particular their interactions with other microorganisms remain largely speculative, unexplored and are often missing from current theoretical concepts in marine ecology and biogeochemistry. In this review, we summarize and discuss recent research avenues on parasitic fungi and their ecological potential in marine ecosystems, e.g., the fungal shunt, and emphasize the need for further research.
Recognizing and Analyzing Private Car Commuters Using Big Data of Electronic Registration Identification of Vehicles

Private cars’ travel has been one of the main factors causing urban traffic congestion. Especially during morning and evening rush hours, private car commuters bring a significant burden to traffic. However, there is very little literature on them due to the lack of access to relevant data. A real-world dataset containing vehicle passing records of Electronic Registration Identification (ERI) of vehicles provides us with an opportunity to research private car commuters. We propose a regular behavior-based model to recognize private car commuters. In the model, a regular behavior-based definition of private car commuters is firstly proposed. Then, TDSP(Time dependent shortest path)-based distance measurement and a hierarchical clustering method are designed to extract regular behaviors. Furthermore, we utilize a regular threshold $p $ to help determine regular behaviors. The experiment, which is conducted on a real-world dataset containing one-week vehicle passing records in Chongqing of China, validates the effectiveness and accuracy of the proposed model. Moreover, we analyze the mobility pattern of private car commuters, and some typical mobility patterns of them are successfully found.
Alterations of the Intestinal Permeability are Reflected by Changes in the Urine Metabolome of Young Autistic Children: Preliminary Results

Several metabolomics-based studies have provided evidence that autistic subjects might share metabolic abnormalities with gut microbiota dysbiosis and alterations in gut mucosal permeability. Our aims were to explore the most relevant metabolic perturbations in a group of autistic children, compared with their healthy siblings, and to investigate whether the increased intestinal permeability may be mirrored by specific metabolic perturbations. We enrolled 13 autistic children and 14 unaffected siblings aged 2–12 years; the evaluation of the intestinal permeability was estimated by the lactulose:mannitol test. The urine metabolome was investigated by proton nuclear magnetic resonance (1H-NMR) spectroscopy. The lactulose:mannitol test unveiled two autistic children with altered intestinal permeability. Nine metabolites significantly discriminated the urine metabolome of autistic children from that of their unaffected siblings; however, in the autistic children with increased permeability, four additional metabolites—namely, fucose, phenylacetylglycine, nicotinurate, and 1-methyl-nicotinamide, strongly discriminated their urine metabolome from that of the remaining autistic children. Our preliminary data suggest the presence of a specific urine metabolic profile associated with the increase in intestinal permeability.
Nurses and Midwives Human Resource for Health and Their Education in India: A Situational Analysis

Aim This study aimed to the status of the nurses and midwives human resource and training institutes in India and variations across states. Method This cross-sectional study collected information available from open sources (all data for the states) and supplemented with grey literature, as of 2019. The census population data were used for estimating the nurses and midwives dentistry. There was no sample selection. All the available information for the 30 states and six Union Territories were included. Results The auxiliary nurses and midwives (ANMs) density varied from 0.7 (Bihar and Telangana) to 26.6 (Andhra Pradesh) in states and 6.6 per 10,000 population at a national level. The registered nurses and midwives (RN/RM) density varied from 0.8 (Bihar) and 0.9 (Jharkhand) to 78.7 (Kerala) in states and 16.1 per 10,000 population at a national level. In 2019, there were 1890 ANM training schools, 3155 general nurses and midwives (GNM) training colleges, and 1958 Bachelor of Science (BSc) nursing training colleges in India. These institutions had 54,948 ANM, 227,370 GNM/BSc and 40,795 postgraduate nursing seats. With the current capacity, the nurses and midwives deficit can only be met in a 6–12 years period. Conclusion India suffers from severe nurses and midwives shortage compared to the global norms with wide variations across the states. Increasing the training institution’s number and seats are needed to meet the norms.
Can young‐of‐the‐year invasive fish keep up with young‐of‐the‐year native fish? A comparison of feeding rates between invasive sticklebacks and whitefish

Abstract Invasion of non‐native species might alter food web structure and the strength of top‐down control within lake ecosystems. As top‐down control exerted by fish populations is often dominated by young of the year fish, the impact of new fish species might depend on the feeding rates of the juvenile fish. Here we provide comparative analyses of feeding rates of juvenile whitefish (Coregonus wartmanni) – a native and specialised planktivore and an invasive generalist (sticklebacks, Gasterosteus aculeatus). We studied feedings rates of whitefish and sticklebacks in aquaria experiments using 2 cm to 8 cm fish feeding on seven zooplankton species common to Lake Constance. As whitefish hatch several months earlier than sticklebacks, 0+ whitefish are larger than 0+ sticklebacks throughout the year and hence are predicted to have higher feeding rates on especially large zooplankton species. We show that sticklebacks as small as 2 cm were able to feed on the largest zooplankton species of Lake Constance. Further, stickleback feeding rates were similar to both the same size 0+ whitefish and the larger 0+ whitefish co‐occurring with smaller 0+ sticklebacks. Hence, 0+ sticklebacks will compete with 0+ whitefish for the same zooplankton species, therefore the invasion of sticklebacks is unlikely to change the relative feeding pressure by individual 0+ fish on zooplankton species.
Does fear of missing out give satisfaction in purchasing based on social media content?

The influence of social media in providing the information is undeniable in the current era. How the information is received is then processed as a helpful reference in deciding the purchase is always an exciting thing to discuss. Based on Self-Determination Theory (SDT), in this study, we examined how motivation arises in the form of fear if left behind or not involved in an excellent condition when consuming a product—through quantitative. Data approach collected from 231 sample people, then processed with Structural Equation Modeling using AMOS 23 through Confirmatory Factor Analysis and Model Fit Testing. The study results confirm that social media content can increase fear of missing out (FOMO), encouraging consumers to make purchases. The results of this study show that purchasing decisions influenced by FOMO can provide satisfaction for consumers. Situational Determinants, namely Perceived favorability and Self-relevance can significantly influence FOMO compared to personal traits (fears, worries, and anxieties). The results of this study are in line with Self Determination Theory, where the personal motivation of consumers in making purchases will encourage the creation of satisfaction.