Balance Values Research Articles

Ethnographic Study: The Choice of Place and Birth Attendants from the Socio-Cultural Perspective in the Tunjung Benuaq Dayak Tribe

WHO recommends Skill Birth Attendants (SBA) for all births. Around 50 million mothers in developing countries give birth at home without the help of medical personnel. The trust in traditional birth attendants (TBA), meaning that social and cultural influences still strongest. Objective: to analyze the choice of place and birth attendants in the Tunjung Benuaq Dayak Tribe through a socio-cultural perspective in the working area of the Barong Tongkok Community Health Center. Methodology: Qualitative Design with Ethnographic study using the Rapid Ethnographic Assessment Procedure (REAP) method. Snowball sampling is a variation of Purposive Sampling. In-depth interviews were conducted with 12 informants. Data analysis uses Thematic analysis. Results: The Tunjung Benuaq Dayak tribe upholds the values of balance and harmonization regarding human relationships with God, human and the environment. They developed local cultures based on complementary belief systems. There is a positive acceptance of science. The local wisdom of Santaap, eating a small portion of the food served, illustrates that they can accept little of knowledge. Customs are still maintained in the birthing process which is carried out by village shamans who are highly trusted by the community. They make the rituals, belief in myths (tempuunt), the existence of spirits who guard and interfere with the birthing process. Conclusion: Socio-cultural values such as trust, knowledge, and customs are very strong guidelines for the Tunjung Benuaq Dayak tribe in choosing a place and birth attendant. Suggestion: preservation of culture and customs that are still considered good in childbirth practices is highly desirable.

The Effect Combined Of Intradialytic Exercise: Static Stretching And Dynamic Streching Lower Limb, Increase Physical Funtion In Chronic Kidney Diseases On Haemodialysis Patients Quasi Experiment

Background: Individuals with end-stage kidney disease (ESKD) usually engage in minimal physical activity, as renal failure progresses in chronic kidney disease (CKD), muscle mass and physical function decrease. Physical activity (PA) is important in maintaining/improving health in all population. Aim of this study to evaluate effect exercise of combine static stretching and dynamic stretching increasing Physical Function in CKD on HD patients. Methods: design of this study was quasi experiment in one group 39 respondents CKD on HD patients meet inclusion criteria. Implementation 12 weeks intradialytic exercise combine static and dynamic stretching lower limbs include leg, ankles, knee, femoral and hip. During exercise evaluate using Borg Skill to know level of fatigue. Comparing with before-after test Time Up and Go 3 meters return measurement. Result: The results of this study demonstrate that the mean values of functional balance, which are much lower in this population than in their healthy counterparts, can be improved by a video-based intradialytic exercise program that includes stretching and endurance activities. In particular, notable advancements were noted in the average TUG test 3 meter return result, which is a reliable indicator of hospitalization, cardiovascular events, and mortality in dialysis patients. Conclusion all participants reported after 12 weeks static and dynamic stretching felt more flexible range of motion knee and leg, walking stronger than before and felt more conformable in walking reported, significant different before and after given static and dynamic stretching, both Static and dynamic stretching effective for improving functional balance and physical performance, Recommended static and dynamic stretching to be rutine activity in Hemodialysis unit.

Overlapping community detection in weighted networks via hierarchical clustering.

In real-world networks, community structures often appear as tightly connected clusters of nodes, with recent studies suggesting a hierarchical organization where larger groups subdivide into smaller ones across different levels. This hierarchical structure is particularly complex in trade networks, where actors typically belong to multiple communities due to diverse business relationships and contracts. To address this complexity, we present a novel algorithm for detecting hierarchical structures of overlapping communities in weighted networks, focusing on the interdependency between internal and external quality metrics for evaluating the detected communities. The proposed Graph Hierarchical Agglomerative Clustering (GHAC) approach utilizes maximal cliques as the basis units for hierarchical clustering. The algorithm measures dissimilarities between clusters using the minimal closed trail distance (CT-distance) and the size of maximal cliques within overlaps, capturing the density and connectivity of nodes. Through extensive experiments on synthetic networks with known ground truth, we demonstrate that the adjusted Silhouette index is the most reliable internal metric for determining the optimal cut in the dendrogram. Experimental results indicate that the GHAC method is competitive with widely used community detection techniques, particularly in networks with highly overlapping communities. The method effectively reveals the hierarchical structure of communities in weighted networks, as demonstrated by its application to the OECD weighted trade network, which describes the balanced trade value of bilateral trade relations.

A metaheuristic-based optimization model for flight procedure design

In recent years, the continuous increase in air traffic has led to a saturation of available airspace. The new localizer performance with vertical guidance (LPV) instrument approach procedures (IAPs) offer additional capacity at aerodromes and in airspaces. To support their implementation, a specifically developed model focused on the improved IAP design process and optimized solution generation is proposed. The model provides a fully automated search of the solution space by employing the bee colony optimization metaheuristic algorithm. The resulting list of alternatives is ranked by the objective function score, which is affected by the balancing values of the complexity indicators and the achieved obstacle clearance height. The model’s capabilities are successfully validated against the challenging operational environment of Podgorica Airport. The model was initially developed to conduct IAP feasibility studies; however, it can also be used in the initial stages of airport planning projects or for IAP criteria validation.

Mapping and assessment of ecological vulnerability to wildfires in Europe

BackgroundWildfires play a significant and complex role in ecosystems, influencing various aspects of their functioning and structure. These natural disturbances can positively and negatively impact ecosystems, shaping landscapes, nutrient cycles, biodiversity, and ecological processes. This study focuses on assessing and integrating the different factors that affect the ecological vulnerability to wildfires at the European scale. Our methodology follows three steps. Firstly, ecological values based on biological distinctiveness and conservation status were estimated to understand pre-fire conditions better. Secondly, we obtain vegetation’s coping capacity (or resistance) to the impacts of fire, considering the functional traits of plants and fire characteristics through a fire extreme scenario. Finally, post-fire recovery time was calculated by considering the species-specific recovery time, recovery starting time, growth recovery rate, and the environmental constraints affecting the optimal vegetation response. These three variables were combined using a dynamic model that assumed the change of value due to wildfires integrated throughout the recovery time.ResultsOur results indicate that the tundra biome emerges as the most ecologically vulnerable to fire, primarily due to its high ecological values and long recovery time, which outweigh its moderate coping capacity. Following closely, the temperate conifer forests also exhibit high vulnerability driven by their high recovery time, despite moderate ecological and coping capacity values. The boreal forests rank next, with moderate vulnerability due to their long recovery time and moderate coping capacity. The Mediterranean region, although having moderate ecological values and recovery time, shows a notable vulnerability influenced by lower coping capacity. The temperate broadleaf and mixed forests demonstrate relatively lower vulnerability owing to their balanced ecological values, moderate recovery time, and substantial coping capacity. Lastly, the temperate grasslands, savannas, and shrublands are the least vulnerable, benefiting from lower ecological values and the fastest recovery time, alongside moderate coping capacity, which collectively reduce their overall fire vulnerability.Furthermore, we found that coping capacity is the factor that most influenced ecological vulnerability to wildfires.ConclusionsThe study identifies key zones for European or national policies on fire prevention and post-wildfire regeneration. It offers insights into effective forest management and conservation policies, applicable to current conditions. Additionally, the methods can predict future ecological vulnerability to wildfires based on climatic and socio-economic trends.

Preparation and performance evaluation of CNF‐enhanced polyether‐modified polysiloxane defoamer

AbstractIn this article, polyether‐modified polysiloxanes were synthesized by the reaction of poly(methyl hydrogen siloxane) (PMHS) with Allyl alcohol polyether B‐400. FT‐IR, laser particle size analysis, hydrophilic–lipophilic balance (HLB) value test, and surface tension measurements were used to characterize its structures and properties. The results show that the control law for the HLB value of polyether‐modified polysiloxanes was obtained as follow: the HLB value increases with increasing hydrogen content of PMHS. When the polyether‐modified polysiloxanes were used to emulsify the polysiloxane, at the HLB value of 10.5, the average particle size of the emulsion was about 0.23 μm with a narrow particle size distribution. The emulsion has good emulsifying and dispersing properties, as well as excellent foam elimination and foam inhibition performance. When the cellulose nanofibrils (CNF) was used as a protective agent for the preparing of the polysiloxane defoamer, the stability of the emulsion does not affect, but its foam elimination and foam inhibition of emulsion can be further improved at the presence of CNF. The lowest surface tension of CNF‐enhanced polyether‐modified polysiloxane defoamer is about 22.4 mN m−1, which has good surface property. When the concentration of CNF‐enhanced polyether‐modified polysiloxane defoamer was 0.1 g L−1, the foam elimination time and foam inhibition time were 5.8 s and 38 min, respectively, at the temperature (80°C) and alkali environment (pH 13).

Radiomics-based machine learning role in differential diagnosis between small renal oncocytoma and clear cells carcinoma on contrast-enhanced CT: A pilot study

PurposeTo investigate the potential role of radiomics-based machine learning in differentiating small renal oncocytoma (RO) from clear cells carcinoma (ccRCC) on contrast-enhanced CT (CECT). Material and methodsFifty-two patients with small renal masses who underwent CECT before surgery between January 2016 and December 2020 were retrospectively included in the study. At pathology examination 39 ccRCC and 13 RO were identified. All lesions were manually delineated unenhanced (B), arterial (A) and venous (V) phases. Radiomics features were extracted using three different fixed bin widths (bw) of 25 HU, 10 HU, and 5 HU from each phase (B, A, V), and with different combinations (B+A, B+V, B+A+V, A+V), leading to 21 different datasets. Montecarlo Cross Validation technique was used to quantify the estimator performance. The final model built using the hyperparameter selected with Optuna was trained again on the training set and the final performance evaluation was made on the test set. ResultsThe A+V bw 10 achieved the greater median (IQR) balanced accuracy considering all the models of 0.70 (0.64–0.75), while A bw 10 considering only the monophasic ones. The A bw 10 model achieved a median (IQR) sensitivity of 0.60 (0.40–0.60), specificity of 0.80 (0.73–0.87), AUC-ROC of 0.77 (0.66–0.84), accuracy of 0.75 (0.70–0.80), and a Phi Coefficient of 0.38 (0.20–0.47). None of the nine models with the lowest mean balanced accuracy values implemented features from A. ConclusionThe A bw 10 model was identified as the most efficient mono-phasic model in differentiating small RO from ccRCC.

Evaluation of Population Projections for Serbia 2011-2041 after the 2022 Census Results

Following the 2022 Population Census, the first assessment of Serbia's official population projections based on data from the 2011 Census and other vital statistics and migration sources has become feasible. According to the Census results, the population of Serbia in 2022 is approximately 2.3% below the projected values for that year, according to the closest projection variant – the constant variant. This paper explores the differences in terms of projected and realized values of fertility, mortality, and migration balance. Hypotheses regarding the total fertility rate and the number of live births were largely confirmed. However, a notable deviation was observed in mortality rates, primarily attributed to the COVID-19 pandemic period, during which life expectancy decreased by nearly two years. Apart from the pandemic's effect, the deviation between projected and realized population values is also due to the assumption of a positive migration balance for the period 2011-2022. Contrary to this optimistic assumption, the vital statistics method reveals negative external migration during this period.

The Impact of Local and Foreign Investments on the Domestic Development on an International Scale on Social Equality and Environmental Support (Green Governance) of the Indonesian People

This study examines the impact of foreign and local investors’ interference in the national development as a form of President Joko Widodo’s government program on social equality and environmental support for Indonesia’s lower-level communities. Joko Widodo as the Indonesian President since the beginning of his term initiated infrastructure development throughout Indonesia, inviting foreign and local investors. These investors can rapidly raise the value of the Indonesian economy. The high value of the Indonesian economy also hurts various communities, especially on the social level of Indonesian society. Social equality in Indonesia has not achieved a balanced value among its people, which leads to social inequality in all aspects of social welfare of the Indonesian people.. Environmental support for people who experience social inequality is not achieved, this can be viewed in terms of shelter, food, clean water intake, and several other aspects that do not support the lives of people with social inequality. This research aims to realize how influential investors and the development of the Indonesian nation are on their communities, especially among the lower level who are not reached by the Indonesian government as a form of support for environmental welfare. The study recommends investors make breakthroughs that provide benefits for people with low social levels so that they do not experience further deterioration in life, the government must also play an effective role in realizing decent environmental support (green environment) to achieve social equality. Keywords: green environment, social equality, interference of foreign investors, interference of local investors

Self-correcting deep learning for estimating rice leaf nitrogen concentration with mobile phone images

As a pivotal role in crop development, the application of nitrogen fertilizers enhances yields, while excessive use poses environmental risks. Precision nitrogen management requires rapid crop nitrogen assessment in field conditions and mobile phone images can be a promising approach. However, few studies have investigated how arbitrary white balance and exposure value settings affect crop nitrogen diagnosis using phone photos. Therefore, a new deep learning framework: self-correcting leaf nitrogen concentration estimation network (SCLNC-Net), was proposed to explore the potential of mobile phone images for non-destructive nitrogen status monitoring. Imperfect camera metering and incorrect user operations were addressed through attention U-Net for automatic white balance and exposure correction. Then a lightweight deep learning algorithm MobileNetV3 was utilized to estimate rice leaf nitrogen concentration based on the self-corrected images. Compared with most deep learning models, SCLNC-Net has fewer parameters and higher computational efficiency, which is better suited for deployment on mobile platforms. The results revealed that SCLNC-Net enhanced image quality and acquired high accuracy in the estimation of rice leaf nitrogen concentration (R2 = 0.84, RMSE = 0.39 %, RRMSE = 13 %). Moreover, the robustness and effectiveness of the proposed SCLNC-Net remained excellent across various shooting angles, mobile phone types, and rice varieties. This study provides insights into rapid and cost-efficient nutrient assessment and precision nitrogen management.

Revealing protein aggregation behaviour and dispersion properties induced by molecular interactions between sucrose esters and myofibrillar protein in an aqueous phase system

The effects of sucrose esters (SE) with varying hydrophilic-lipophilic balance (HLB) values (SE 11, 13, 15) and different concentrations (0.01, 0.1, 1.0 mM) on the dispersion properties and structure of myofibrillar proteins (MPs) in the aqueous phase were investigated. The results demonstrated that the SE 11 and SE 13 reduced the particle size and enhanced the distribution uniformity of the MPs. All of the SE exhibited a slight reduction in the ζ-potential absolute values of the MPs. Meanwhile, the SE 11 significantly reduced the turbidity of the MPs, especially in the 0.1 mM group. Macroscopic and microscopic images showed that the optimum dispersion state was in the SE 11–0.1 group. Furthermore, the interactions between SE and MPs exerted a significant impact on the proteins structure. The SE 13 and SE 15 caused significant changes, which presented concentration correlation, in the tertiary and secondary spatial structures of the MPs. Nevertheless, slight structural changes were observed in MPs with different SE11 concentrations. The SE did not alter the molecular weight of the MPs, i.e. it did not induce irreversible aggregation, nor degradation of the proteins. These results were verified by the surface hydrophobicity, UV–Vis spectroscopy, intrinsic fluorescence, circular dichroism, and SDS-PAGE. Molecular docking simulation showed that hydrophobic interactions and hydrogen bonds were the main interaction force between SE 11 and MPs. Therefore, our findings provided meaningful insights into the dispersion state of the MPs aqueous containing SEs and contributed to the practical application of non-ionic surfactants in meat protein processing.

Investigation of Dynamic Balance, Limb Asymmetry and Flexibility in Jiu-Jitsu Athletes: A Preliminary Exploratory Study

This preliminary exploratory study is the first to thoroughly examine dynamic balance, inter-limb asymmetry, and flexibility in jiu-jitsu athletes, focusing on differences by fighting style, competition level, gender, and limb dominance. A total of 25 jiu-jitsu fighters participated in this cross-sectional study, which used repeated measures to ensure the reliability of the findings. Participants underwent measurements for limb lengths and were assessed for dynamic balance using the Lower and Upper Quarter Y Balance Test (LQYBT and UQYBT) and for flexibility with the Sit and Reach Test (SR). The analysis included evaluating the reliability of these tests, as well as comparing outcomes based on gender, fighting styles, competition levels, and limb dominance. The results showed that the LQYBT and UQYBT tests were reliable (ICC=0.74–0.93). There were no significant differences in dynamic balance and flexibility between different fighting styles. No significant differences were found in balance tests between the dominant and non-dominant limbs, but there were notable inter-limb asymmetries in certain measures. This study provides preliminary insights for coaches and researchers by offering reference values for balance, flexibility, and inter-limb asymmetry in jiu-jitsu athletes. However, future research with larger sample sizes is needed to better understand the differences among subgroups in this sport.

Studies on the complex interactions of different egg yolk proteins and their roles on rheological properties and stability of high internal phase Pickering emulsions

Egg yolks (EY) are widely used in food emulsions due to their high contents of amphiphilic proteins. This study investigated the different characterization and interactions among low-density lipoproteins (LDL), high-density lipoproteins (HDL) and phosvitins (Pv) using fourier transform infrared spectroscopy (FTIR), transmission electron microscopy (TEM), scanning electron microscopy (SEM). The high internal-phase Pickering emulsions (HIPPEs) prepared by those protein complexes were analyzed on the basis of droplet size, optical microstructure, confocal microscopy images, interfacial protein compositions and rheological behavior. Results showed that LDL had a smaller particle size (56.44 ± 1.27 nm) and a greater ability to reduce interfacial tension, resulting in smaller droplet sizes (7.09 ± 0.25 μm) in LDL-stabilized HIPPEs. In contrast, HDL possessed higher hydrophobicity and a greater number of free sulfhydryl groups. The droplets in HDL-stabilized HIPPEs were larger, more compact, and exhibited lower solid lipid balance values in rheological tests. The competing adsorption of HDL and LDL at the interface influenced the properties of HDL-LDL prepared emulsions. However, an appropriate amount of Pv promoted the formation of an electrical double layer between LDL and HDL, further reducing interfacial tension. LDL-HDL-Pv complex stabilized HIPPEs displayed more gel-like rheological properties and the highest stability during the storage. This study provides insights for the development of EY protein-based emulsification systems in food industry.

Work engagement among post-millennial generation in Jakarta: Examining work-life balance and work values dynamics

Employers must increase work engagement to keep workers actively involved, committed, and making the greatest contributions to the business. Encouraging employee well-being through work-life balance and work values is one way to increase work engagement. This research aims to examine the influence of work-life balance and work value on work engagement among Generation of post-millennial in Jakarta city. The research method used to analyze this study is quantitative with a descriptive format aimed at explaining and summarizing various conditions and situations. The research method employed partial hypothesis testing using the SmartPLS program. The sample size for this study is 150 respondents and data collection are done through questionnaires. The data analysis techniques and tools used in this study include descriptive statistics, inner model testing, and outer model testing. The population of this study is the post-millennial generation workers, and they also serve as the sample for the study. The research results indicate that work-life balance has a positive and significant impact on work engagement, work value has a positive and significant impact on work engagement, and both work-life balance and work value have a positive and significant influence on work engagement among the post-millennial generation in Jakarta city. Perusahaan harus berupaya untuk terus meningkatkan keterlibatan kerja agar pekerja tetap aktif, berkomitmen, dan memberikan kontribusi terbesar bagi bisnis. Mendorong kesejahteraan karyawan melalui keseimbangan kehidupan kerja dan nilai-nilai kerja merupakan salah satu cara untuk meningkatkan keterlibatan kerja. Penelitian ini bertujuan untuk menguji pengaruh work-life balance dan work value terhadap work engagement pada generasi pasca milenial atau generasi Z di kota Jakarta. Metode penelitian yang digunakan adalah kuantitatif deskriptif yang bertujuan untuk menjelaskan dan merangkum berbagai kondisi dan situasi. Selain itu, dilakukan pengujian hipotesis secara parsial dengan menggunakan program SmartPLS. Besar sampel penelitian ini adalah 150 responden, dan pengumpulan data dilakukan melalui distribusi kuesioner. Teknik dan alat analisis data yang digunakan dalam penelitian ini meliputi statistik deskriptif, pengujian inner model, dan pengujian outer model. Populasi penelitian ini adalah pekerja yang termasuk dalam kategori generasi pos-milenial dan mereka juga dijadikan sebagai sampel penelitian. Hasil penelitian menunjukkan bahwa work-life balance berpengaruh positif dan signifikan terhadap work engagement, nilai kerja berpengaruh positif dan signifikan terhadap work engagement, serta work-life balance dan work value mempunyai pengaruh positif dan signifikan terhadap work engagement generasi pasca milenial di kota Jakarta.

Synthesis and characterization of chitosan-pectin fabricated nanoemulsion for ethylhexyl triazone topical delivery

This study aimed to investigate the stability of nanoemulsions for the UVB filter, ethylhexyl triazone (EHT) encapsulation followed by fabrication with chitosan and pectin. Four formulations were developed to assess the influence of hydrophile-lipophile balance (HLB) values on nanoemulsion stability for EHT encapsulation, targeting high Sun Protection Factor (SPF) values. The selected nanoemulsion was then subjected to fabrication with chitosan and pectin, followed by physical characterization and rheological behaviour study. Results indicated that all nanoemulsions exhibited particle sizes ranging from 137.7 nm to 206.0 nm and high entrapment efficiency from 88.76 % to 91.98 %. Sample N3, containing 1 % Tween 20 and 2 % polyethylene glycol (PEG) 400 with HLB of 12, demonstrated the highest stability, yielding a significantly elevated SPF value (10.33). Moreover, polymer-coated nanoemulsions with a low concentration of chitosan (0.1 %) showed enhanced stability when combined with different percentages of pectin. Polymer-coated nanoemulsions indicated shear-thinning behaviour at lower shear rates to Newtonian flow at higher shear rate. Furthermore, both polymer-coated and uncoated nanoemulsions exhibited decreased viscosity with increasing temperature. Also, polymer-coated nanoemulsions was found to enhance the sustainable release of EHT. These findings demonstrated the potential of polymer-coated nanoemulsions for skin application, offering enhanced stability and improved flow behaviour. The design of polymer-coated nanoemulsions could potentially minimize the risks of accumulation and toxicity of UV filters by providing a sustainable release behaviour.

Japan’s cancer survivorship guidelines for exercise and physical activity

Abstract Objective This research aimed to establish the inaugural evidence-based cancer survivorship guidelines for Japan, with a particular focus on exercise and physical activity, in order to enhance health outcomes for cancer survivors. Methods A panel of experts, including oncologists, physicians, exercise scientists, epidemiologists and patient advocates, utilized a modified Delphi process and systematic reviews to establish consensus on exercise recommendations for cancer survivors. The panel focused on setting the objectives of the Clinical Practice Guidelines and addressing crucial clinical issues in Japan. Recommendations were formulated based on the strength and certainty of evidence, the benefit–harm balance and patient values and preferences. Results The panel formulated exercise recommendations for cancer survivors of two age groups: 18–64 years and ≥65 years. The recommendations for both age groups are consistent, emphasizing the importance of regular exercise and physical activity tailored to individual capabilities and health conditions. The guidelines underline the benefits of exercise in improving the overall health and quality of life of cancer survivors. This consensus on exercise recommendations marks a significant step in the development of comprehensive cancer survivorship guidelines in Japan, with potential implications for improving clinical outcomes and advancing research in cancer survivorship. Conclusions These guidelines will serve as a critical resource for cancer survivors, highlighting exercise as a key component of survivorship care, and for clinicians, in recommending appropriate physical activities to improve survivor health and well-being.

Oil-in-water microemulsion of Arthrospira platensis carotenoid as antiphotooxidation in vitamin C beverages

Arthrospira platensis is a blue-green microalgae that has carotenoid as the main pigments, with the largest content being beta-carotene. Carotenoids are a type of pigment that is water insoluble, unstable, and has a limited bioavailability. One of the efforts to improve its solubility and stability, especially with regard to its anti-photooxidation capabilities, is to make it into a microemulsion. This study aimed to develop the most stable oil-in-water (O/W) microemulsion containing carotenoids from A. platensis for use as an antiphotooxidation agent in vitamin C beverages. Microemulsions consist of three distinct phases: oil, water and surfactant. The oil phase consisted of virgin coconut oil (VCO) or palm oil, with 7.5% and 15% and the aqueous phase was distilled water at a concentration of 65% or 80%. The surfactant used a combination of Tween 80, Tween 20, and Span 80 with a final hydrophilic-lipophilic balance or HLB value of 14.5. All microemulsion formulations were incubated for 24 hrs before being tested for stability by centrifugation at 3000 rpm for 30 mins, heating at 105oC for 5 hrs, and storage for 2 and 4 weeks. The resulting turbidity index was used to test the microemulsion's stability. The most stable microemulsion was chosen as a delivery system for carotenoid compounds. The carotenoid microemulsion was also tested by centrifugation, heating, and stability at different pH (6.5 and 4.2) and in varied ratios (1:1, 1:9 and 1:99). The results revealed that the concentration of oil and water phases in the microemulsion formulation influenced the microemulsion's stability. The best formulation obtained was a microemulsion with 7.5% of virgin coconut oil, 80% of water concentration, and surfactant with a ratio of 92:5.5:2.5 (Tween 80: Span 80:Tween 20). The most stable carotenoid microemulsion was a microemulsion with 100 ppm of carotenoid added. The carotenoid microemulsion was able to inhibit photooxidation at 4000 lux for 4 hrs. The vitamin C beverage model added with 6 ppm carotenoid microemulsion was able to inhibit photooxidation compared to the control and 12 ppm, for up to 6 hrs and there was a significant decrease in vitamin C and antioxidants after 24 hrs of photooxidation. A. platensis carotenoid microemulsion with a concentration of 6 ppm could inhibit photooxidation on vitamin C beverages for up to 6 hrs.

Testing Algorithms for Controlling the Distributed Power Supply System of a Railway Signal Box

Trends in the use of renewable energy sources to power buildings do not bypass objects for which maintaining a power supply is critical. This also applies to railway signal boxes. The aim of the research work was to test the multisource power supply system for a railway signal box with power electronic converter systems and a DC bus, built as part of the research project. The assumption for powering the railway signal box building was to use renewable sources, energy storage devices, and a 3 kV DC traction network as the second required power supply grid. Both power grids were connected by power electronic converters, and the power values of the converters were set based on the calculated power balance values using the values measured at the system nodes and the set constraints. The tests primarily tested the response of the power supply system to changes in load power and power generated by the photovoltaic source, as well as the charge level of the energy storage devices. The correctness of the control algorithm’s operation was assessed based on the recorded power values in the power supply system nodes. The tests were carried out for 60 scenarios that covered all normal and emergency operating conditions. During the tests, delays in response to changes in the power supplied to the converters and the values of circular power flow between the power grid connections were recorded. The recorded delays ranged from 2 to about 50 s and the circular power flows did not exceed 1500 W. Based on the results of the tests, it was found necessary to improve the power measurement system in the power supply system nodes and to improve the quality of communication and the transmission time of measurement data transmission time.

Distributed modelling of snow and ice melt in the Naltar Catchment, Upper Indus basin

Energy balance distributed modelling in High Mountain Asia (HMA) is important to examine glaciological and hydrological processes and assess changes in streamflow in the current and future climate. In this study, the Physically based Distributed Snow Land and Ice Model (PDSLIM) using detailed observed meteorological data at hourly scale is employed to simulate the hydrological response of the Naltar catchment, 242.62 km2 in size, (in the Karakoram region in Pakistan to simulate its glaciers’ mass balance as well as daily runoff. The results exhibited overall satisfactory performance in terms of coefficient of determination (R2 = 0.96) and Nash-Sutcliffe Efficiency (NSE=0.95) modelled against satellite-based snow cover areas, for internal model verification, in eight years. The results of runoff simulations compared for external model verification, with observed daily discharge resulted in NSE 0.90 and 0.89 for calibration and validation period respectively. Flow composition analysis revealed that the streamflow regime of Naltar catchment is composed to 40 % by glacier runoff, 42 % by sub-surface runoff and 18 % by surface runoff. The eight year mean value of net mass balance exhibited a slightly negative mass balance (−0.810 ± 0.31 m w.e. a-1) less pronounced than that observed globally in several continental glaciers distinct from the Greenland and Antarctic ice sheets in the current climate. It seems that the ‘Karakoram anomaly’, i.e. the balanced to slightly positive glacier budgets observed in the region in the recent decades, a unique dynamics worldwide, has a moderate impact in the central Karakoram. Overall, the distributed energy-balance model PDSLIM, so far tested in the Alps, results to be a suitable tool to estimate energy and mass balance in the glacierized catchments of Karakoram and Himalaya and to better understand snow and ice melt runoff dynamics and floods in highly complex and glacierized mountain basins in the current and, in our research perspective, in the future climate.

The Impact of Stimulation Parameters on Cardiovascular Outcomes in Chronic Stroke Patients Following Transcranial Direct Current Stimulation-A Pilot Controlled, Randomized, Double-Blind Crossover Trial.

Stroke survivors often experience autonomic nervous system (ANS) dysfunction. While Transcranial Direct Current Stimulation (tDCS) has been shown to modulate the ANS when applied to the left hemisphere, its effects on the right hemisphere remain unexplored. We aimed to compare the effects of tDCS applied to both the injured and the contralateral hemispheres on heart rate variability (HRV) and functional capacity in individuals post-stroke. Twenty individuals with cerebral hemisphere lesions (ten with right-hemisphere lesions and ten with left-hemisphere lesions) were randomized into four groups: anodal and sham tDCS on the left temporal cortex (T3) and anodal and sham tDCS on the right temporal cortex (T4). HRV was assessed before the intervention, after the six-minute walk test (6MWT), and following tDCS. HRV data were categorized into frequency ranges: low frequency (LF), high frequency (HF), and sympathovagal balance. The 6MWT (meters) was conducted both pre- and post-tDCS. In individuals with right-hemisphere lesions, a higher global LF value was observed (right side: 71.4 ± 16.8 nu vs. left side: 65.7 ± 17.3 nu; p = 0.008), as well as lower values of the HF component (right side: 29.5 ± 18.9 nu vs. left side: 34.0 ± 17.4 nu; p = 0.047), consequently exhibiting higher global values of the low/high-frequency ratio (right side: 3.9 ± 2.8 vs. left side: 2.9 ± 2.4). Regarding the stimulation site, tDCS over T3 led to a lower overall value of the low/high-frequency ratio (left hemisphere: 3.0 ± 2.2 vs. right hemisphere: 3.7 ± 2.9; p = 0.040) regardless of the lesion location. A significant increase in the distance covered in the 6MWT was observed for individuals with lesions in both hemispheres after tDCS at T3. Participants with right-hemisphere lesions exhibited superior global sympathetic autonomic nervous system activity. When the tDCS was applied on the left hemisphere, it maintained lower sympathovagal balance values and improved functional capacity regardless of the hemisphere affected by the stroke.