Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of built environment on BMI of older adults in regions of different socio-economic statuses

Background Numerous studies have ignored the influence of underdeveloped urban surroundings on the physical health of China’s ageing population. Lanzhou is a typical representative of a less developed city in China. Methods This study investigated the relationship between body mass index (BMI) and built environment amongst older adults in regions of different socio-economic statuses (SES) using data from medical examinations of older adults in Lanzhou, as well as calculating community built environment indicators for regions of different SES based on multiple linear regression models. Results Results showed that age and underlying disease were negatively associated with overall older adult BMI in the study buffer zone. Land use mix, number of parks and streetscape greenery were positively associated with older adult BMI. Street design and distance to bus stops were negatively connected in low SES regions, but population density and street design were negatively correlated in high SES areas. Conclusion These findings indicate that the built environment of SES regions has varying impacts on the BMI of older persons and that planners may establish strategies to lower the incidence of obesity amongst older adults in different SES locations.
Computer-aided automated detection of kidney disease using supervised learning technique

In this paper, we propose an efficient home-based system for monitoring chronic kidney disease (CKD). As non-invasive disease identification approaches are gaining popularity nowadays, the proposed system is designed to detect kidney disease from saliva samples. Salivary diagnosis has advanced its popularity over the last few years due to the non-invasive sample collection technique. The use of salivary components to monitor and detect kidney disease is investigated through an experimental investigation. We measured the amount of urea in the saliva sample to detect CKD. Further, this article explains the use of predictive analysis using machine learning techniques and data analytics in remote healthcare management. The proposed health monitoring system classified the samples with an accuracy of 97.1%. With internet facilities available everywhere, this methodology can offer better healthcare services, with real-time decision support in remote monitoring platform.
The impact of the COVID-19 pandemic on the dynamics of topics in urban green space

Abstract. Urban residents’ daily lives have been impacted by the COVID-19 pandemic in various aspects such as social, leisure, and physical activities. Fortunately, urban green spaces (UGSs) have become a main outdoor destination, due to the policies encouraging people to visit UGS and keeping them open. This study aimed to comprehensively investigate the impact of the COVID-19 pandemic on topics discussed on social media by UGS visitors over space and time. Data was collected from geo-referenced Tweets across London in spring 2019, 2020, and 2021. Structural Topic Modelling (STM) was used to identify UGS topics and describe the dynamics of topic proportions. The inverse distance weighted (IDW) interpolation method was used to explore spatial distributions of all topics. The study identified seven main types of UGS topics over all study periods, with topics such as Lockdown and exercise and Social and friends showing a decreasing trend in topic proportions, indicating that visitors' outdoor activities were restricted. The study not only identifies the main types of topics in UGS during the COVID-19 pandemic period but also reflects people’s attitudes and perceptions towards restriction measures, which can provide guidance for future urban policies, especially during crises.
The Effects of Orography on the Extratropical Transition of Tropical Cyclones: A Case Study of Typhoon Sinlaku (2008)

Extratropical transition (ET) can cause high-impact weather in midlatitude regions and therefore constitutes an ongoing threat at the end of a tropical cyclone’s (TC) life cycle. Most of the ET events occur over the ocean, but some TCs recurve and undergo ET along coastal regions; however, the latter category is less investigated. Typhoon Sinlaku (2008), for example, underwent ET along the southern coast of Japan. It was one of the typhoons that occurred during the T-PARC field campaign, providing unprecedented high-resolution observational data. Sinlaku is therefore an excellent case to investigate the impact of a coastal region, and in particular orography, on the evolution of ET. Here, observations from T-PARC are employed to verify high-resolution simulations of Sinlaku. In addition, a sensitivity simulation is performed with the orography of Japan removed. The presence of orography causes blocking of low-level, cool midlatitude air north of Japan. Without this inflow of cool air, ET is delayed. Only once Sinlaku moves away from the orographic barrier does the cool, dry environmental air penetrate equatorward, and ET continues. On a local scale, evaporatively cooled air from below Sinlaku’s asymmetric precipitation field could be advected toward the cyclone center when orography was favorable for it. Changes in the vortex structure, as known from mature TCs interacting with orography, were only minor due to the high translation speed during ET. This study corroborates that orography can impact ET by modulating both the synoptic-scale environmental conditions and the mesoscale cyclone structure during ET.
Distributed containment control of heterogeneous fractional-order multi-agent systems with communication delays

Abstract Because many networked systems can only be characterized with fractional-order dynamics in complex environments, fractional-order calculus has been studied deeply recently. When diverse individual features are shown in different agents of networked systems, heterogeneous fractional-order dynamics will be used to describe the complex systems. Based on the distinguishing properties of agents, heterogeneous fractional-order multi-agent systems (FOMAS) are presented. With the supposition of multiple leader agents in FOMAS, distributed containment control of FOMAS is studied in directed weighted topologies. By applying Laplace transformation and frequency domain theory of the fractional-order operator, an upper bound of delays is obtained to ensure containment consensus of delayed heterogenous FOMAS. Consensus results of delayed FOMAS in this paper can be extended to systems with integer-order models. Finally, numerical examples are used to verify our results.
Energy Consumption Minimization of an Industrial Furnace by Optimization of Recuperative Heat Exchange

A mathematical model has been developed to determine the best geometry of a compact heat exchanger in this research study. Accordingly, an objective function was introduced to define the optimized structure of the exchanger. Two main targets were pursued in this regard. First was the rate of existing discrepancy between the possible heat transfer rate in the exchanger and the maximum rate. Second was possible heat transfer consideration between exchanging gasses and incoming air of the furnace. A sample shell and tube heat exchanger of existing tube in a processing industry has been studied and the calculations have been performed to solve the relevant equations. In addition, a comprehensive code to design an optimized compact heat exchanger for heat recovery of the furnaces has been presented. Then, data gathering and model synchronization caused to a preliminary evaluation of model quality. Thus, for increasing accuracy level of mentioned research, along with measurements’ correction program, model modification has been done and new results were calculated. Optimization model analysis showed that by using this approach, not only significant heat conservation can be achieved, but also suggested procedure might be completely economical.
Common mental disorders and associated factors among Ethiopian prisoners: a systematic review and meta-analysis

Background Common mental disorders are a major public health concern in the world and negatively influence people’s psychological, physical, economic, and overall well-being. Since prisoners live with restricted freedom and lack regular social interaction like communication with family and friends, the prevalence of common mental disorders is frequently found to be higher among prisoners compared to the general population. Therefore, this systematic review and meta-analysis aimed to estimate the pooled prevalence of common mental disorders and their associated factors among prisoners in Ethiopia. Methods The primary published studies were searched by using different databases like PubMed, Google Scholar, CINHAL, and African Journal Online. A total of eight primary articles that assessed the prevalence and associated factors of common mental disorders among Ethiopian prisoners were included in this systematic review and meta-analysis. The data were extracted using the data extraction format in a Microsoft Excel spreadsheet and exported to Stata version 14 for further analysis. The statistical heterogeneity was assessed by the I2 test. Due to the presence of heterogeneity among included studies, a random effect meta-analysis model was employed. Egger’s weighted regression test and funnel plots were used to check the presence of publication bias. Results A total of 8 primary studies with 3,585 study participants were included in this systematic review and meta-analysis. The pooled prevalence of common mental disorders among Ethiopian prisoners was 62.29% with a 95% CI (50.94, 73.65). The subgroup analysis based on regional state revealed that the pooled prevalence of common mental disorders in Amhara, Oromia, and the other two regions (Addis Ababa and SNNPR) was 72.4, 50.23, and 54.25%, respectively. History of mental illness (AOR = 6.21, 95% CI: 3.27, 11.80), poor social support (AOR = 3.90, 95% CI: 1.45, 10.51), and traumatic life events (AOR = 3.63, 95% CI: 1.04, 12.73) were significantly associated with a common mental disorder in this review. Conclusion In this systematic review and meta-analysis, the pooled prevalence of common mental disorders among prisoners was high. Therefore, improving the delivery of mental health services in correctional institutions has a major contribution to the reduction of the disorder, and incarcerated people require more attention and early intervention for common mental disorders.
A generative model for rank data based on sorting algorithm

Rank data arise from a sorting mechanism which is generally unobservable for the statistician. Retaining the insertion sorting algorithm because of its well known optimality properties and combining it with a natural stochastic error in the pair comparison process allows to propose a parsimonious and meaningful parametric generative model for rank data. Its theoretical properties are studied like unimodality, symmetry and identifiability. In addition, maximum likelihood principle can be easily performed through an EM algorithm thanks to an unobserved latent variables interpretation of the model. Finally, an illustration of adequacy between the proposed model and rank data resulting from a general knowledge quiz suggests the relevance of our proposal.
Influence of the Late Ordovician‐Early Silurian Paleoenvironment and Related Geological Processes on the Organic Matter Accumulation and Carbon Isotope Excursion

Although previous studies have shown that the paleoenvironment and geological processes contributed to the organic matter accumulation (OMA) and carbon isotope excursions (CIEs) during the late Ordovician–early Silurian, the dominated controlling factor for the OMA and the origins of CIEs still remains unclear due to complex interaction between various paleoenvironmental factors and geological processes. Therefore, based on the elemental geochemistry of the Wufeng–Longmaxi Formation shales in the upper Yangtze Platform, we analyzed the late Ordovician–early Silurian paleoenvironment and related geological processes, and further explored the origin of the OMA and CIEs. As a result, the Wufeng–Longmaxi Formation shale was divided into four stages. During Stage 1 (late Katian, ∼447.62–444.50 Ma), local tectonic and volcanic activities controlled the paleoproductivity and redox conditions, facilitating the OMA. By contrast, the productivity of the surface water and the anoxic bottom water were mainly controlled by the global climate after the Hirnantian glaciation, which contributed to the OMA during Stage 2 (early Rhuddanian, ∼444.50–441.00 Ma). The decreasing sea level and rapid uplifting of Xuefeng and Qianzhong Uplifts resulted in the organic matter depletion during Stages 3 (late Rhuddanian, ∼441.00–440.80 Ma) and 4 (Aeronian, ∼440.80–439.21 Ma). Besides, the release of 12C–enriched carbon reservoirs triggered by volcanic activities and 13C–enrichment caused by the OMA regulated the carbon cycling: the negative CIE may be the result of light carbon emissions, such as the reactivated organic matter and mantle derived carbon, and the Hirnantian CIE event is jointly controlled by the weakened carbon emission effect and the OMA.
Exploring the Associations between Happiness, Life-satisfaction, Anxiety, and Emotional Regulation among Adults during the Early Stage of the COVID-19 Pandemic in Russia

Background The COVID-19 pandemic is not only a world health crisis, but also an ordeal for people’s mental health and psychological well-being. The period of the COVID-19 lockdown has changed everyday life and increased anxiety, fears, and stress from habitual activities such as meetings, shopping, and the use of public transport. As the worry and nervousness increase, they threaten the cognitive (Life-satisfaction) and emotional (Happiness) components of well-being. Emotional regulation strategies are a mechanism to cope with the threat. Objective This study assessed the impact of anxiety, perceived stress from COVID-19, and emotional regulation strategies on well-being during the first weeks of the lockdown in Russia. Design Questionnaire-based surveys were conducted online from March 31 to April 30, 2020. A total of 589 participants (18 to 73 years of age) were recruited. The Subjective Happiness Scale, Satisfaction with Life Scale, Zung’s Self-Rating Anxiety Scale, Emotion Regulation Questionnaire, and Perceived Source of Stress from COVID-19 scales were used. Results Among the various sources of stress, only that from restrictions on everyday life impacted well-being. High anxiety, but not perceived stress, decreased the feelings of Happiness and Life-satisfaction. Additionally, emotional regulation strategies played different roles in their impact on well-being: Cognitive reappraisal lowered negative emotions, but emotional suppression increased dissatisfaction with life. Conclusion These findings suggest that people’s effective and relevant regulation of their emotions during public health emergencies and ability to avoid losses caused by crisis events, have become urgent needs, requiring the development of psychological interventions to support well-being.
RecipeIS—Recipe Recommendation System Based on Recognition of Food Ingredients

Currently, food waste is a global concern, a problem that arises mainly at the consumption level and generates environmental, economic, and social impacts. One way to reduce the food waste problem is to use the food we already have at home. However, this causes another concern, which is what to cook with certain foods. Sometimes we do not know what recipes can be made. Knowing which ingredients can be mixed and how to mix them can be a difficult task for a beginner cook, so selecting the right ingredients for a recipe is essential. Therefore, it is proposed to develop a recipe recommendation system through image recognition of food ingredients. Presently, the system is a web application that recognizes an image given by the user and recommends recipes containing the recognized ingredient. For this, a convolutional neural network model, the ResNet-50, was built to perform image recognition and trained with a dataset that contains about 36 classes of vegetables and fruits. Through this training, the model reached 96% accuracy in classifying the dataset images. The recommendation system uses the label of the recognized ingredient to obtain the recipes, which are searched through the Edamam API.
Photonic crystal resonances for sensing and imaging

This review provides an insight into the recent developments of photonic crystal (PhC)-based devices for sensing and imaging, with a particular emphasis on biosensors. We focus on two main classes of devices, namely sensors based on PhC cavities and those on guided mode resonances (GMRs). This distinction is able to capture the richness of possibilities that PhCs are able to offer in this space. We present recent examples highlighting applications where PhCs can offer new capabilities, open up new applications or enable improved performance, with a clear emphasis on the different types of structures and photonic functions. We provide a critical comparison between cavity-based devices and GMR devices by highlighting strengths and weaknesses. We also compare PhC technologies and their sensing mechanism to surface plasmon resonance, microring resonators and integrated interferometric sensors.
Discovery of Novel Coumarin-Schiff Base Hybrids as Potential Acetylcholinesterase Inhibitors: Design, Synthesis, Enzyme Inhibition, and Computational Studies

To discover anti-acetylcholinesterase agents for the treatment of Alzheimer’s disease (AD), a series of novel Schiff base-coumarin hybrids was rationally designed, synthesized successfully, and structurally characterized using Fourier transform infrared (FTIR), Nuclear magnetic resonance (NMR), and High-Resolution Mass Spectrometry (HRMS) analyses. These hybrids were evaluated for their potential inhibitory effect on acetylcholinesterase (AChE). All of them exhibited excellent inhibitory activity against AChE. The IC50 values ranged from 87.84 to 515.59 μg/mL; hybrids 13c and 13d with IC50 values of 0.232 ± 0.011 and 0.190 ± 0.004 µM, respectively, showed the most potent activity as acetylcholinesterase inhibitors (AChEIs). The reference drug, Galantamine, yielded an IC50 of 1.142 ± 0.027 µM. Reactivity descriptors, including chemical potential (μ), chemical hardness (η), electrophilicity (ω), condensed Fukui function, and dual descriptors are calculated at wB97XD/6-311++ G (d,p) to identify reactivity changes of the designed compounds. An in-depth investigation of the natural charge pattern of the studied compounds led to a deep understanding of the important interaction centers between these compounds and the biological receptors of AChE. The molecular electrostatic surface potential (MESP) of the most active site in these derivatives was determined using high-quality information and visualization. Molecular docking analysis was performed to predict binding sites and binding energies. The structure-activity-property relationship studies indicated that the proposed compounds exhibit good oral bioavailability properties. To explore the stability and dynamic behavior of the ligand-receptor complexes, molecular dynamics simulations (MDS) were performed for 100 ns on the two best docked derivatives, 13c and 13d, with the AChE (4EY7) receptor. A popular method for determining the free binding energies (MM/GBSA) is performed using snapshots taken from the systems’ trajectories at 100 ns. These results revealed that the complex system of compound 13d acquired a relatively more stable conformation and exhibited better descriptors than the complex system of compound 13c and the Galantamine drug, suggesting its potential as an effective inhibiting drug. The binding free energy analysis revealed that the 13d-4EY7 complex exhibited greater stability with AChE receptors compared to other complexes.
Secretion of Interleukin 6 in Human Skeletal Muscle Cultures Depends on Ca2+ Signalling

Simple Summary Skeletal muscle releases numerous hormones into circulation that interact with other organs, such as the liver, bone or the brain. These hormones, termed myokines, mediate the effects of physical activity in health, aging and disease. Interleukin 6 was the first discovered myokine and is actively investigated due to its participation in inflammation, immunity and metabolism. However, there is little information regarding the mechanisms that induce its release from muscle cells, especially in humans. Our aim was to investigate whether changes in the concentration of calcium ions participate in the stimulated release of interleukin 6 in human muscle cells. Using muscle cultures, we have found that several proteins responsible for the calcium increase during stimulation induce the release of interleukin 6 from the muscle cells. This could help to unveil how interleukin 6 and other myokines are released in pathological conditions such as trauma, infections or cancer. Abstract The systemic effects of physical activity are mediated by the release of IL-6 and other myokines from contracting muscle. Although the release of IL-6 from muscle has been extensively studied, the information on the cellular mechanisms is fragmentary and scarce, especially regarding the role of Ca2+ signals. The aim of this study was to characterize the role of the main components of Ca2+ signals in human skeletal muscle cells during IL-6 secretion stimulated by the Ca2+ mobilizing agonist ATP. Primary cultures were prepared from surgical samples, fluorescence microscopy was used to evaluate the Ca2+ signals and the stimulated release of IL-6 into the medium was determined using ELISA. Intracellular calcium chelator Bapta, low extracellular calcium and the Ca2+ channels blocker La3+ reduced the ATP-stimulated, but not the basal secretion. Secretion was inhibited by blockers of L-type (nifedipine, verapamil), T-type (NNC55-0396) and Orai1 (Synta66) Ca2+ channels and by silencing Orai1 expression. The same effect was achieved with inhibitors of ryanodine receptors (ryanodine, dantrolene) and IP3 receptors (xestospongin C, 2-APB, caffeine). Inhibitors of calmodulin (calmidazolium) and calcineurin (FK506) also decreased secretion. IL-6 transcription in response to ATP was not affected by Bapta or by the T channel blocker. Our results prove that ATP-stimulated IL-6 secretion is mediated at the post-transcriptional level by Ca2+ signals, including the mobilization of calcium stores, the activation of store-operated Ca2+ entry, and the subsequent activation of voltage-operated Ca2+ channels and calmodulin/calcineurin pathways.