Changes In Patterns Research Articles

Enhancing psychological insights through machine learning: A new paradigm for guided understanding

On this age of technological advancement, the integration of system mastering's into human psychology is reworking our information of the human mind. This paper explores how advanced computational strategies are reshaping studies to find patterns of behaviour, emotional change, and tendencies in mental health. Evaluation of big datasets thru machine getting to know, together with social media and wearables, subtly detects feelings and predicts mental health troubles. Moral worries including privateness and bias require collaboration among psychologists, records scientists, and other specialists. Actual-world cases illustrate the function of device getting to know in detecting behaviour and advancing remedies. The want for interdisciplinary collaboration and ethical implementation is emphasised, with the promise of a destiny with advanced mental insights.

Socio-behavioral determinants of health-related quality of life among patients with type 2 diabetes: comparison between 2015 and 2018

IntroductionType 2 diabetes (T2D) is a common chronic disease that significantly affects an individual’s overall health and well-being. The aim of this study is to investigate the factors that influence the health-related quality of life (HRQoL) of patients with T2D.MethodsThis study conducted using data from 6th phase (2015–2017) and 7th phase (2018–2022) of the Tehran Lipid and Glucose Study (TLGS). Data were collected through a combination of interviews, physical examinations, and laboratory tests. Quality of life questionnaire (SF-12) that consists of 12 questions was used to assess physical and mental health functioning. The generalized estimating equation model was used to assess the association between socio-behavioral factors and changes in HRQoL.ResultsThe study included 498 patients with T2D. The changes in HRQoL in patients with T2D followed a sex-specific pattern. Analysis of the physical component score (PCS) and the mental component score (MCS) showed a non-significant change in the total score during the three-year longitudinal study. However, the role physical (RP) of the PCS and the social functioning (SF) of the MCS showed a statistically significant change during this period. In addition, sex, body mass index (BMI), and having cardiovascular disease (CVD) and chronic kidney disease (CKD) showed a significant association with RP changes, and only job status showed a significant association with SF changes.ConclusionsBy recognizing the sex-specific patterns in HRQoL changes and understanding the multifaceted nature of factors such as BMI, CVD and CKD, healthcare professionals can develop targeted interventions that go beyond traditional diabetes management.

Are longitudinal changes in sleep patterns associated with future cardiovascular disease risk?

Are longitudinal changes in sleep patterns associated with future cardiovascular disease risk?

Why Does Extreme Precipitation Occur in Borneo During Both El Niño and La Niña Winters?

AbstractExtreme precipitation over the Maritime Continent (MC) is not only vital for local livelihoods, but also influences atmospheric circulation in tropical and extra‐tropical regions. The warm (cold) phase of El Niño‐Southern Oscillation usually leads to dry (wet) condition around the MC in boreal winter. This study unravels that extreme precipitation occurs in Borneo during both El Niño and La Niña winters. Extreme precipitation in Borneo is associated with tripole and dipole anomalous vertical motion pattern, respectively, over the MC‐tropical Pacific in El Niño and La Niña years. A parallel analysis reveals that weak precipitation in Borneo in El Niño and La Niña years occurs with dipole and tripole anomalous vertical motion pattern, respectively, over the MC‐tropical Pacific. The amplitude of the equatorial central‐eastern Pacific sea surface temperature (SST) anomalies may be a factor in the change of anomalous vertical motion pattern over the MC‐tropical Pacific. Further analysis identifies a tendency of extreme precipitation in late December to early−mid January and weak precipitation in February in Borneo. This suggests a critical role of seasonal change in the eastern equatorial Pacific SST in the occurrence of extreme precipitation in Borneo.

Association of Estimated Glomerular Filtration Rate Trajectories with Atrial Fibrillation Risk in Populations with Normal or Mildly Impaired Renal Function

Introduction: The association between the longitudinal patterns of estimated glomerular filtration rate (eGFR) and risk of atrial fibrillation (AF) in populations with normal or mildly impaired renal function is not well-characterized. We sought to explore the eGFR trajectories in populations with normal or mildly impaired renal function and their association with AF. Methods: This prospective cohort study included 62,407 participants who were free of AF, cardiovascular diseases, and moderate to severe renal insufficiency (eGFR <60 mL/min/1.73m2) before 2010. The eGFR trajectories were developed using latent mixture modeling based on examination data in 2006, 2008, and 2010. Incident AF cases were identified in biennial electrocardiogram assessment and a review of medical insurance data and discharge registers. We used Cox regression models to estimate the hazard ratios and 95% confidence intervals (CI) for incident AF. Results: According to survey results for the range and changing pattern of eGFR during 2006 to 2010, four trajectories were identified: high-stable (range, 107.47 to 110.25 mL/min/1.73m2; n=11,719), moderate-increasing (median increase from 83.83 to 100.37 mL/min/1.73m2; n=22,634), high-decreasing (median decrease from 101.72 to 89.10 mL/min/1.73m2; n=7,943), and low-stable (range, 73.48 to 76.78 mL/min/1.73m2; n=20,111). After an average follow-up of 9.63 years, a total of 485 cases of AF were identified. Compared with the high-stable trajectory, the adjusted hazard ratios of AF were 1.70 (95% CI, 1.09–2.66) for the moderate-increasing trajectory, 1.92 (95% CI, 1.18–3.13) for the high-decreasing trajectory, and 2.28 (95% CI, 1.46–3.56) for the low-stable trajectory. The results remained consistent across a number of sensitivity analyses. Conclusions: The trajectories of eGFR were associated with subsequent AF risk in populations with normal or mildly impaired renal function.

Assessment of secular trends of three major gynecologic cancers burden and attributable risk factors from 1990 to 2019: an age period cohort analysis

BackgroundThis study aims to assess the long-term trends in the burden of three major gynecologic cancers(GCs) stratified by social-demographic status across the world from 1990 to 2019. To assess the trends of risk factor attributed mortality, and to examine the specific effects of age, period, cohort behind them in different regions.MethodsWe extracted data on the mortality, disability-adjusted life years(DALYs), and age-standardized rates(ASRs) of cervical cancer(CC), uterine cancer(UC), and ovarian cancer(OC) related to risks from 1990 to 2019, as GCs burden measures. Age-period-cohort analysis was used to analyze trends in attributable mortality rates.ResultsThe number of deaths and DALYs for CC, UC and OC increased since 1990 worldwide, while the ASDRs decreased. Regionally, the ASDR of CC was the highest in low SDI region at 15.05(11.92, 18.46) per 100,000 in 2019, while the ASDRs of UC and OC were highest in high SDI region at 2.52(2.32,2.64), and 5.67(5.16,6.09). The risk of CC death caused by unsafe sex increased with age and then gradually stabilized, with regional differences. The period effect of CC death attributed to smoking showed a downward trend. The cohort effect of UC death attributed to high BMI decreased in each region, especially in the early period in middle, low-middle and low SDI areas.ConclusionsGlobal secular trends of attributed mortality for the three GCs and their age, period, and cohort effects may reflect the diagnosis and treatment progress, rapid socioeconomic transitions, concomitant changes in lifestyle and behavioral patterns in different developing regions. Prevention and controllable measures should be carried out according to the epidemic status in different countries, raising awareness of risk factors to reduce future burden.

Using image segmentation models to analyse high-resolution earth observation data: new tools to monitor disease risks in changing environments.

In the near future, the incidence of mosquito-borne diseases may expand to new sites due to changes in temperature and rainfall patterns caused by climate change. Therefore, there is a need to use recent technological advances to improve vector surveillance methodologies. Unoccupied Aerial Vehicles (UAVs), often called drones, have been used to collect high-resolution imagery to map detailed information on mosquito habitats and direct control measures to specific areas. Supervised classification approaches have been largely used to automatically detect vector habitats. However, manual data labelling for model training limits their use for rapid responses. Open-source foundation models such as the Meta AI Segment Anything Model (SAM) can facilitate the manual digitalization of high-resolution images. This pre-trained model can assist in extracting features of interest in a diverse range of images. Here, we evaluated the performance of SAM through the Samgeo package, a Python-based wrapper for geospatial data, as it has not been applied to analyse remote sensing images for epidemiological studies. We tested the identification of two land cover classes of interest: water bodies and human settlements, using different UAV acquired imagery across five malaria-endemic areas in Africa, South America, and Southeast Asia. We employed manually placed point prompts and text prompts associated with specific classes of interest to guide the image segmentation and assessed the performance in the different geographic contexts. An average Dice coefficient value of 0.67 was obtained for buildings segmentation and 0.73 for water bodies using point prompts. Regarding the use of text prompts, the highest Dice coefficient value reached 0.72 for buildings and 0.70 for water bodies. Nevertheless, the performance was closely dependent on each object, landscape characteristics and selected words, resulting in varying performance. Recent models such as SAM can potentially assist manual digitalization of imagery by vector control programs, quickly identifying key features when surveying an area of interest. However, accurate segmentation still requires user-provided manual prompts and corrections to obtain precise segmentation. Further evaluations are necessary, especially for applications in rural areas.

Examining the daily reciprocal relations between alcohol abstinence self-efficacy and drinking among non-treatment seeking individuals with alcohol use disorder (AUD)

Theoretical and empirical models of alcohol use and misuse indicate that abstinence self-efficacy (ASE) predicts improvements in treatment outcomes among individuals with alcohol use disorder (AUD). More recently, studies have begun examining daily fluctuations in ASE to better understand in-the-moment determinants of drinking behaviors. With the goal of assessing how ASE is implicated in maintenance (rather than changing) of hazardous drinking patterns, the current study examined daily reciprocal relations between ASE and drinking among individuals with AUD. Non-treatment seeking adults (n = 63) with AUD were recruited and completed daily surveys assessing ASE and drinking behaviors for 14 days. Data were analyzed using time-lagged multilevel modeling. Results indicated that both within- and between-person elevations in ASE predicted decreased likelihood of drinking, but only within-person ASE predicted fewer drinks consumed on drinking days. Previous-day drinking behavior was unrelated to next-day ASE; however, higher percentage of drinking days during the monitoring period (between-person) was associated with lower daily ASE. These results demonstrate that confidence in one’s ability to abstain from drinking varies considerably across days, and that fluctuations may be implicated in daily drinking decisions. The lack of effect of previous-day drinking on ASE (combined with the significant effect of average drinking frequency) may suggest that sustained periods of reduced drinking or abstinence are necessary to impact ASE. This study points to ASE’s role in the maintenance of daily drinking behavior among non-treatment-seeking individuals with AUD and reiterates the importance of self-efficacy in behavioral control and decision-making at the daily level.

The Rohingya refugee crisis in Bangladesh: assessing the impact on land use patterns and land surface temperature using machine learning.

Bangladesh, a third-world country with the seventh highest population density in the world, has always struggled to ensure its residents' basic needs. But in recent years, the country is going through a serious humanitarian and financial crisis that has been imposed by the neighboring country Myanmar which has forced the government to shelter almost a million Rohingya refugees in less than 3years (2017-2020). The government had no other option but to acquire almost 24.1 km2 of forest areas only to construct refugee camps for the Rohingyas which has led to catastrophic environmental outcomes. This study has analyzed the land use and land surface temperature pattern change of the Rohingya camp area for the course of 1997 to 2022 with a 5-year interval rate. Future prediction of the land use and temperature of Teknaf and Ukhiya was also done in this process using a machine learning algorithm for the years 2028 and 2034. The analysis says that in the camp area, from 1997 to 2017, percentage of settlements increased from 5.28 to 11.91% but in 2022, it reached 70.09%. The same drastically changing trend has also been observed in the land surface temperature analysis. In the month of January, the average temperature increased from 18.86 to 21.31°C between 1997 and 2017. But in 2022. it was found that the average temperature had increased up to 25.94°C in only a blink of an eye. The future prediction of land use also does not have anything pleasing in store.

Effects of mobile music listening: Patterns of changes in focus of attention, environmental perception, and self-experience

In this study, we examined how mobile music listening can change one’s perception of the environment. Using a mixed-methods approach, we subjected the written statements of 112 individuals to content analysis and association rule mining to identify categorical relationships. Findings revealed two distinct qualities of perception that are related to relevant factors: (1) Altered attentional focus is predominantly characterized by an intentional shift of attention, usually to exclude the external world from perception. Here, we found associations with situational context and affect regulation. (2) Altered perception and experience of the self are characterized by the inclusion and modification of the environment, or by an altered sense of oneself. They are related to musical attributes, affect regulation, situational context, and behavioral change. We also found an association between the two qualities of perception. Based on the patterns identified, we were able to determine temporal relationships between the effects of mobile music listening. For example, participants often reported that they consciously used music to improve or enhance their mood. On the one hand, they achieve this by focusing their attention on the music and thus blocking out the outside world. On the other hand, mood enhancement through music may lead to a more positive experience of the environment and behavioral consequences. We summarize our findings in a model showing patterns of changes in perception with regard to antecedents and consequences. This model exemplifies the plurality of mobile listening strategies and their psychological effects, advancing our understanding of the multifaceted nature of mobile music listening.

The role of atmospheric CO2 in controlling sea surface temperature change during the Pliocene

Abstract. We present the role of CO2 forcing in controlling Late Pliocene sea surface temperature (SST) change using six models from Phase 2 of the Pliocene Model Intercomparison Project (PlioMIP2) and palaeoclimate proxy data from the PlioVAR working group. At a global scale, SST change in the Late Pliocene relative to the pre-industrial is predominantly driven by CO2 forcing in the low and mid-latitudes and non-CO2 forcing in the high latitudes. We find that CO2 is the dominant driver of SST change at the vast majority of proxy data sites assessed (17 out of 19), but the relative dominance of this forcing varies between all proxy sites, with CO2 forcing accounting for between 27 % and 82 % of the total change seen. The dearth of proxy data sites in the high latitudes means that only two sites assessed here are predominantly forced by non-CO2 forcing (such as changes to ice sheets and orography), both of which are in the North Atlantic Ocean. We extend the analysis to show the seasonal patterns of SST change and its drivers at a global scale and at a site-specific level for three chosen proxy data sites. We also present a new estimate of Late Pliocene climate sensitivity using site-specific proxy data values. This is the first assessment of site-specific drivers of SST change in the Late Pliocene and highlights the strengths of using palaeoclimate proxy data alongside model outputs to further develop our understanding of the Late Pliocene. We use the best available proxy and model data, but the sample sizes remain limited, and the confidence in our results would be improved with greater data availability.

Metabolomics reveals metabolites associated with hair follicle cycle in cashmere goats

BackgroundThe hair follicle is a skin accessory organ that regulates hair development, and its activity varies on a regular basis. However, the significance of metabolites in the hair follicle cycle has long been unknown.ResultsTargeted metabolomics was used in this investigation to reveal the expression patterns of 1903 metabolites in cashmere goat skin during anagen to telogen. A statistical analysis was used to investigate the potential associations between metabolites and the hair follicle cycle. The findings revealed clear changes in the expression patterns of metabolites at various phases and in various feeding models. The majority of metabolites (primarily amino acids, nucleotides, their metabolites, and lipids) showed downregulated expression from anagen (An) to telogen (Tn), which was associated with gene expression, protein synthesis and transport, and cell structure, which reflected, to some extent, that the cells associated with hair follicle development are active in An and apoptotic in An–Tn. It is worth mentioning that the expression of vitamin D3 and 3,3’,5-triiodo-L-thyronine decreased and then increased, which may be related to the shorter and longer duration of outdoor light, which may stimulate the hair follicle to transition from An to catagen (Cn). In the comparison of different hair follicle development stages (An, Cn, and Tn) or feeding modes (grazing and barn feeding), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed that common differentially expressed metabolites (DEMs) (2’-deoxyadenosine, L-valine, 2’-deoxyuridine, riboflavin, cytidine, deoxyguanosine, L-tryptophan, and guanosine-5’-monophosphate) were enriched in ABC transporters. This finding suggested that this pathway may be involved in the hair follicle cycle. Among these DEMs, riboflavin is absorbed from food, and the expression of riboflavin and sugars (D-glucose and glycogen) in skin tissue under grazing was greater and lower than that during barn feeding, respectively, suggesting that eating patterns may also alter the hair follicle cycle.ConclusionsThe expression patterns of metabolites such as sugars, lipids, amino acids, and nucleotides in skin tissue affect hair follicle growth, in which 2’-deoxyadenosine, L-valine, 2’-deoxyuridine, riboflavin, cytidine, deoxyguanosine, L-tryptophan, and guanosine-5’-monophosphate may regulate the hair follicle cycle by participating in ABC transporters. Feeding practices may regulate hair follicle cycles by influencing the amount of hormones and vitamins expressed in the skin of cashmere goats.

Effects of flavoring additives on feed intake, growth performance, temperament and markers of immune function for newly received feedlot cattle.

Ninety Angus × Hereford steers (259.9 ± 36.18kg body weight (BW)), were used in a 56-d experiment to assess the effects of flavoring additives on feed intake, and stress and immune response of newly received feedlot cattle. Steers were homogenously distributed by BW into six pens equipped with an individual feed intake monitoring system, and pen was randomly assigned to one of three treatments (15 head/pen; 30 head/treatment): a standard feedlot receiving diet (CT), or the same diet with a flavoring additive comprised of either sweeteners (Luctarom Feedlot, SW) or a mix of basic tastes (Luctarom Feedlot Mix, MX) at 1kg/mT. Pens were equipped with a feed intake monitoring system, while BW, chute behavior, flight speed, blood and saliva samples were collected bi-weekly, and hair samples collected at 4-week intervals during the study. Data were analyzed using a mixed-effects model for a pen study using individual animal records with repeated measures. There was a treatment × week interaction (P < 0.01) where meal duration was greater in SW steers than MX and CT on wk 3, and than CT on wk 7 and 8. A trend for treatment × week interaction (P = 0.06) showed that the number of visits per day tended to be greater in SW than MX steers on wk 4 and 5, and it tended to be greater in SW than MX and CT on wk 5. The concentration of IL-6 was greater (P <0.01) on d 1 and 28 than on d 14. The IgM concentration was greater (P < 0.01) on d 1 compared to d 14, 28 and 56. The concentration of haptoglobin was greater (P < 0.01) on 14 than d 28, 42 and 56, and it was greater (P < 0.01) on d 1 than d 42 and 56. The concentration of serum amyloid A was greater (P < 0.01) on d 1 compared to the rest of sampling days. Fibrinogen concentration was greater (P < 0.01) on d 1 compared to d 14 and 42. The neutrophil-to-lymphocyte ratio was greater (P < 0.01) on d 42 and 56 compared to d 1 and 28, and greater (P < 0.01) on d 14 compared to d 28. Hair and saliva cortisol concentration were lower (P < 0.01) on d 56 compared to d 1 and 28, respectively. The use of flavoring additives, particularly when based on sweeteners (SW), caused some changes in the feeding pattern of newly received steers. These changes, however, were not consistent over the 56-d feeding period and were not accompanied by a change in growth performance, temperament, biomarkers of stress, inflammation, or immune function.

Two-dimensional Keitz method for the radiant power measurement of planar ultraviolet excilamps

Planar XeBr∗ and XeCl∗ excilamps emitting noncoherent narrowband UVB light (280–315 nm) are now widely used to cure psoriasis and vitiligo as well as to improve vitamin D synthesis. The two-dimensional integral formula has been deducted in this study, which is a good method and has great practical significance to calculate the total radiant power and assess the energy efficiency of a planar UV lamp. The measured radiant power of planar white LED lamps through a two-dimensional Keitz formula has been compared to that of gonio-photometer, verifying the applicability of the formula. The optimum measurement distance is dependent on the lamp length (1.5L≤D≤3.5L) for which the derivation from the two methods can be controlled within 10%. The planar XeBr∗ excilamps have been measured and compared to coaxial excilamps, which show similar patterns of change for the radiant characteristics. Since the planar radiant power formula only needs to measure normal illuminance at a certain distance from the symmetric center of the lamp, it is more convenient to use and is a low-cost method to promote the development of large-sized planar ultraviolet lamps.

The Association between Rapid Urbanization Process and Mangrove Land Use Changes in Coastal Regions of Mainland China: A ten-years Systematic Review

Objective: This research aims to summarize the impacts on mangroves in mainland China due to changes in land use patterns in the context of rapid urbanization. Theoretical Framework: Grounded in theories of urbanization, land use change, and ecosystem dynamics, this research adopts a theoretical framework that integrates concepts from geography, ecology, and urban studies. It explores the complex interactions between urban development and mangrove ecosystems, considering factors such as population growth, economic development, and policy interventions. Method: The systematic literature review method used in this study follows the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. From 359 papers, 14 were selected for review and summary based on sources and identification, inclusion and exclusion criteria, screening, and data extraction. Results and Discussion: We realize that development activities that land use, such as land reclamation and port construction, pose the most significant threat to mangroves, often leading to irreversible damage. In addition to the obvious destruction, the covert and sustained impacts of urban development on mangrove forests have been receiving increasing attention. To address the negative impact of substantial demand for construction land, the establishment of protected areas at different levels has been proven to be indeed effective. However, the sustainable development of management and service functions within protected areas requires further research. Research Implications: Understanding the specific impacts of the urbanization process on mangrove forests is crucial for mangrove restoration efforts and for formulating and adjusting urban development-related plans and policies. Originality/Value: This study assesses urbanization impacts on mangroves, detailing loss reasons and distinguishing explicit and implicit effects of construction. It evaluates protective measures and discusses tailored conservation strategies for sustainable mangrove management.

UNPREDICTABLE IDENTIFICATION OF A TITIN MUTATION IN A YOUNG PATIENT PRESENTING WITH INFLAMMATORY CARDIOMYOPATHY

Abstract Case Presentation A 23 years old patient, affected by type 1 diabetes, presented with fever, dyspnea and bilateral peripheral edemas. In the last week he received antibiotic treatment for a persistent dry cough and sore throat, and became symptomatic for exertional dyspnea from three days. His mother died at the age of 40 for sudden cardiac death. Blood pressure and oxygen saturation were normal: the ECG showed sinus tachycardia with symmetric negative T waves in all precordial leads. High sensitivity troponin T was 0.01 mcg/L (normal value &amp;lt; 0.014 mcg/L). All remaining blood tests were normal, except for CRP that was slightly elevated. His echocardiogram revealed left ventricular (LV) remodelling and dilation, severely reduced LV ejection fraction (LVEF 20%) with global hypokinesia, more pronounced at the level of the anterior wall, interventricular septum and apex and a dilated right ventricle (RV) with reduced systolic function. Cardiac magnetic resonance (CMR) confirmed severe biventricular disfunction (LVEF 19%; RVEF 23%) and showed a small area of subepicardial inferior junctional late gadolinium enhancement (LGE). The patient underwent an endomyocardial biopsy that showed a lymphocytic virus–negative myocarditis. Given his known type 1 diabetes, steroid treatment was not considered and anakinra was started. The patient was discharged after two weeks with a slight amelioration of the LV function (LVEF 27%), on optimal heart failure therapy and anakinra. At six months he was in NYHA class II and CMR showed slight reduction in LV dimensions and improvement of the LV and RV function (LVEF 39%; RVEF 45%), with no changes in the LGE pattern. A genetic test was performed and revealed two titin gene mutations, both categorized as likely pathogenic (TTN c.[11831T&amp;gt;A]; c.[72510_72517delGACAAATG]), responsible for a genetic form of dilated cardiomyopathy. Conclusion The present case suggests that in young patients presenting with clinical or histological diagnosis of myocarditis, genetic testing for cardiomyopathies should be considered especially in presence of a positive family history for sudden death or an incomplete recovery of the LV function at follow–up. Identification of a gene mutation in these patients allows a more tailored risk stratification of the index case and a proper management of the entire family.

CROP IMPROVEMENT THROUGH DIFFERENT MEANS TO ADDRESS CLIMATE CHANGE AND FOOD SECURITY

This study evaluated several crop development techniques in addition to the effects of climate change on productivity in agriculture. Climate affects agricultural productivity and the distribution of crops worldwide. Given the current and projected variations in temperature, precipitation, and carbon dioxide concentrations, it is unclear whether agroecosystems will be able to produce enough food to meet the world's needs. Crop output, water productivity, and soil water balance are frequently altered by climate change. Soil moisture content and groundwater levels will be affected by the immediate effects of global warming-induced changes in temperature and precipitation patterns. Agricultural output is affected by several factors, such as crop variety, growing circumstances, soil deterioration, and water availability. Modern agricultural systems use genetics, biotechnology, plant breeding, environmental monitoring, and adjustments to management techniques to adapt to climate change. On the other hand, without a more thorough approach to agricultural systems, development cannot proceed. A strategy like this would mean growing amounts of a wider variety of superior crops and advancing equity, sustainability, nutrition, and food security in the future.

The Potential of RainWater Harvesting Systems in Europe – Current State of Art and Future Perspectives

AbstractWater scarcity and climate change led to changes in water management, especially in urban areas. RainWater Harvesting (RWH) is a promising technique that allows the collection and reuse of rainwater, as well as protecting sewage systems from overload. This article reviews the current state of RWH in Europe, including advantages, implementation, potential efficiency, usage requirements, quality, and treatment processes. The main findings include the importance of RWH as a sustainable water management technique, the historical background and renewed interest in RWH systems in recent years, the positive impact of RWH on reducing energy consumption and greenhouse gas emissions, the versatility of rainwater usage, and the potential cost savings and benefits in various regions. RWH systems are gaining popularity in Europe, particularly in Germany, Austria, and Switzerland. Climate change and precipitation patterns affect rainwater availability and quality. RWH can be used for various purposes, including drinking, but requires proper purification for health safety. It is also being implemented in new locations like airports and large buildings. RWH systems have a high potential to overcome undesired results of climate change. Among that, numerous aspects still need to be considered in the future that allow the application of RWH systems on a larger scale.

Analytical study of soliton dynamics in the realm of fractional extended shallow water wave equations

In this study, we use the Khater Method (KM) as an efficient analytical tool to solve (3+1)-dimensional fractional extended shallow water wave equations (FESWWEs) with conformable derivatives. The KM transforms fractional partial differential equations to ordinary differential equations (ODEs) via strategic variable transformation. Then, series-form solutions to these ODEs are proposed, which turn them into nonlinear algebraic systems. The solution to this set of algebraic equations yields shock travelling wave solutions expressed in hyperbolic, trigonometric, exponential, and rational functions. The study’s findings are corroborated by 2D, 3D, and contour graphs that show the changing patterns of the detected shock travelling waves. These findings have important significance for the discipline, offering vital insights into the intricate dynamics of FESWWEs. The effectiveness of KM is demonstrated by its capacity to produce varied solutions and contribute to a thorough knowledge of such complex phenomena.

Short-term meditation training alters brain activity and sympathetic responses at rest, but not during meditation

Although more people are engaging in meditation practices that require specialized training, few studies address the issues associated with nervous activity pattern changes brought about by such training. For beginners, it remains unclear how much practice is needed before objective physiological changes can be detected, whether or not they are similar across the novices and what are the optimal strategies to track these changes. To clarify these questions we recruited individuals with no prior meditation experience. The experimental group underwent an eight-week Taoist meditation course administered by a professional, while the control group listened to audiobooks. Both groups participated in audio-guided, 34-min long meditation sessions before and after the 8-week long intervention. Their EEG, photoplethysmogram, respiration, and skin conductance were recorded during the mediation and resting state periods. Compared to the control group, the experimental group exhibited band-specific topically organized changes of the resting state brain activity and heart rate variability associated with sympathetic system activation. Importantly, no significant changes were found during the meditation process prior and post the 8-week training in either of the groups. The absence of notable changes in CNS and ANS activity indicators during meditation sessions, for both the experimental and control groups, casts doubt on the effectiveness of wearable biofeedback devices in meditation practice. This finding redirects focus to the importance of monitoring resting state activity to evaluate progress in beginner meditators. Also, 16 h of training is not enough for forming individual objectively different strategies manifested during the meditation sessions. Our results contributed to the development of tools to objectively monitor the progress in novice meditators and the choice of the relevant monitoring strategies. According to our findings, in order to track early changes brought about by the meditation practice it is preferable to monitor brain activity outside the actual meditation sessions.