Directional Correlation Research Articles

Identification of Key Enzymes and Genes Modulating L-Ascorbic Acid Metabolism During Fruit Development of Lycium chinense by Integrating Metabolome, Transcriptome, and Physiological Analysis

Lycium chinense is acknowledged for its substantial nutritional benefits, particularly attributed to the high levels of ascorbic acid (AsA) found in its fruits. The “Mengqi No.1” variety of L. chinense, which is cultivated in Qinghai, is known for its high yield and exceptional quality. We utilized the “Mengqi No.1” variety as experimental materials and combined metabolomic, transcriptomic, and physiological analyses to investigate the metabolites, genes, and enzymes related to AsA metabolism in L. chinense fruits. The results revealed nine differential metabolites associated with AsA metabolism in L. chinense fruits across three stages, including 1D-Myo-Inositol-1,4-Bisphosphate, D-Fructose, L-(+)-Arabinose, I-Inositol, L-Arabinitol, D-Galactose-1-P, lactose, α-D-Glucose, and D-Glucose-6-P. Notably, the contents of D-Glucose-6-P, D-Galactose-1-P, and D-Fructose were increased as the fruit developed. Additionally, fresh weight, longitudinal length, and radial width were increased, while the contents of AsA and DHA were decreased. GalDH and DHAR are critical enzymes for the accumulation of AsA and DHA, exhibiting positive correlation coefficient. Furthermore, PMM1, PMM5, GME2, and GME3 were identified as key regulatory genes in the L-Galactose pathway of AsA synthesis, influencing D-Galactose-1-P, D-Glucose-6-P, α-D-Glucose, and D-Fructose. DHAR1 and DHAR2 are considered key positive regulator genes of AsA and DHA in the AsA-GSH cycle. However, the majority of genes (nine) act as negative regulators of AsA and DHA. These findings provide a foundation for the understanding of the regulatory mechanism of AsA metabolism in L. chinense fruits and offer insights into the utilization of AsA from L. chinense.

Analysis on Family Business and Succession Planning in Hotel and Hospitality Sector in Uganda: A Case of White Horse Inn Kabale

Purpose: The study was set to examine the relationship between family business and succession planning in hotel and hospitality sector in Uganda, focusing on White Horse Inn Kabale as a case study. The study explored the strategies employed by leaders in family businesses for effective succession planning. Materials and Methods: The study used a mixed research design with quantitative and qualitative approaches to obtain in-depth information about family business and succession planning strategies in Uganda. Out of 150, a sample size of 108 (including 93 quantitative and 15 qualitative) was selected from different staff of White Horse Inn Kabale as the established family enterprise selected for the study (Krejcie & Morgan, 1970). The tools used for data collection were questionnaires, an interview guide, and documentary checklist. Data was collected from the managerial and non-managerial staff of the White Horse Inn Kabale. Findings: The Pearson correlation coefficient r=.618, P<0.05 indicates that there is a positive significant correlation coefficient between family business and succession planning. The model summary findings presents that Family Business, β=.618, t=7.666, p<.005. This meant that a unit change in family business would lead to an increase in succession planning in White Horse Inn Kabale. The study findings reveals that the relationship between Family Business and Succession Planning was statistically significant, F=58.775, P<0.05. This means that succession planning in a family business is a crucial process that ensures the long-term sustainability and success of the company. The results from regression model summary explain that family business caused a variation of 38.2% in succession planning. This indicates that succession planning in a family business is a crucial process that ensures the long-term sustainability and success. This therefore means that other factors not studied in this research contribute 61.8% of the succession planning. Implications to Theory, Practice and Policy: The study recommends that family business should formally document succession plans as an integral component of the business strategy, irrespective of the intentions regarding succession. Furthermore, fostering open and adaptable communication that promotes participatory decision-making is strongly recommended. A clear process for identifying essential competencies, along with a competency catalog, should be established to provide a solid foundation for business owners to evaluate potential successors, pinpoint competency deficiencies, and devise suitable plans for their development.

Research on Quantifying and Evaluating Tennis Match Momentum Based on Comprehensive Analytical Methods

Momentum is crucial in tennis matches, influencing player performance and match outcomes. However, quantifying and evaluating momentum has long been a challenge in sports science research. This study aims to quantify momentum in tennis matches by establishing a hierarchical analysis-based model for momentum flow. The model analyzes factors affecting momentum through five criteria: Service Level, Catch Level, Competition Result, Finishing Ability, and Winning Streak, with respective weights of approximately (0.1, 0.1, 0.2, 0.4, 0.2). Subsequently, the study assigns scores to these criteria based on different actions within a match. By multiplying the weights and scores, the momentum of each player is quantified, and the ratio of the two players' momentum provides a measure of momentum flow during the match. To assess the impact of momentum on match outcomes, the study employs k-means++ clustering analysis, violin plot analysis, and point-biserial correlation analysis. The point-biserial correlation analysis reveals a positive correlation coefficient of 0.66 between a player's momentum and their victory. Similar results are derived from the violin plot and clustering analysis. Therefore, it can be concluded that there is a significant association between the direction of momentum flow and a player's success in a match.

Assessment of Changes in Sensory Characteristics of Strawberries during 5-Day Storage through Correlation between Human Senses and Electronic Senses.

In the last decade, significant efforts have been made to predict sensory characteristics using electronic senses, such as the electronic nose (e-nose) and the electronic tongue (e-tongue), and discuss their relationship to the eating quality evaluated by human panels. This study was conducted (1) to characterize the aroma and taste profiles of strawberries over a 5-day storage period (4 °C) using both electronic senses and human panels and (2) to correlate the electronic sense data with human panel data. A total of 10 sensory attributes of strawberries, including 7 aroma and 3 taste attributes, were analyzed by a descriptive sensory panel (n = 16) over the five days. Although the human panel did not find significant differences in the intensities of the strawberry attributes over the five days, the intensity ratings showed an increasing or decreasing trend over the storage period. However, the e-nose and the e-tongue discriminated each of the storage days of the strawberry samples. Furthermore, the partial least square regression coefficients of determination (R2) indicated that the e-nose and the e-tongue were highly predictive in their evaluation of the intensities of all the descriptive sensory attributes. Lastly, the concentrations of furaneol, one of the key volatiles imparting a distinct ripe strawberry aroma, were determined using an e-nose to correlate with the intensities of aroma attributes evaluated by the panel. A significant positive Pearson's correlation coefficient was found with the intensities of overripe aroma. The findings indicate the potential of electronic senses to determine sensory characteristics and their excellent capability to predict the eating quality of strawberries.

The Effect of Menstrual Hygiene Management on Girl Child School Attendance at St Marys Girls Vocational School in Kamukuzi Division, Mbarara City

This study assessed the effects of menstrual hygiene management on school attendance among female adolescent students at St. Mary's Girls Vocational School in Kamukuzi Division, Mbarara City. The researchers employed systematic random sampling to select 45 respondents from Form One and Form Two, as these students were expected to have experienced their menstrual periods. The majority of the respondents were aged 13-14 years. While some girls used handkerchief cloths or hand towels as menstrual management materials, most of them used sanitary pads and disposed of them in the toilets. The researchers conducted a Pearson correlation coefficient analysis in SPSS to examine the relationship between menstrual hygiene management and school attendance. The analysis revealed a weak positive correlation coefficient of 0.210, indicating a weak relationship between menstrual hygiene management and school attendance. However, the p-value of 0.167 suggested that the results were not statistically significant. The study concluded that there is an impact of menstrual hygiene management on school absenteeism, as girls who experienced longer periods tended to miss more school days. However, the weak relationship and lack of statistical significance indicate that other factors may also contribute to school attendance among adolescent girls, and menstrual hygiene management alone may not be the sole determinant. This study provides valuable insights into the challenges faced by adolescent girls in managing menstruation and its potential impact on their school attendance. It highlights the need for comprehensive menstrual hygiene management education and support programs in schools to ensure that girls have access to appropriate materials and facilities. By addressing these challenges, schools can create a supportive environment that promotes regular attendance and educational opportunities for all female students, even during menstruation

The characteristics of V, Sc, Cr and Ni within the Cambrian terrigenous-carbonate deposits found in the Syuldyukar kimberlite field (Western Yakutia)

The investigation of the Syuldyukar kimberlite field, located within the Yakut diamond-bearing province, involved approximately 4,000 X-ray fluorescence (XFA) analyses and 150 inductively coupled plasma atomic emission spectroscopy (ICP AES) analyses on the host sedimentary rocks of the Upper Cambrian Holomolokha formation in proximity to the kimberlite bodies. The results indicated a disruption in the correlation ratios when compared to background concentrations, while subclark levels of vanadium (V), scandium (Sc), chromium (Cr), nickel (Ni), and other elements remained consistent. The elements were divided into three categories: typomorphic elements for kimberlites (Cr, Ni, Co), elements associated with carbonatites (barium (Ba), strontium (Sr), neodymium (Nd), zirconium (Zr)), and elements characteristic of basalts (V, Sc, zinc (Zn)). High positive correlation coefficients were established for the specified elements in the background concentrations. However, ICP analyses indicated significant decreases in the correlation between elements from different groups in the near-kimberlite space at the Syuldyukar site. X-ray diffraction (XRD) studies showed that in the compression areas, the correlation ratios of various elements were inconsistent when compared to the stretching areas. The analysis of the XRF and ICP data reveled that the average elemental concentrations in the background and near-tube space were nearly identical, except for some unusual hurricane values, with variations showing only slight changes. The positive correlation of several elements likely reflects background geological processes, including sedimentation in a marine basin and subsequent transformations such as hypergenesis, diagenesis, and catagenesis. The significant decrease in correlation coefficients, even with background concentrations remaining stable, is likely due to the redistribution of elements in the fluid resulting from phreatomagmatic explosions linked to the intrusion of kimberlites. Aqueous chloride fluids were observed to most actively redistribute elements in areas experiencing local tectonic compression. The identified changes in the correlation ratios of background elemental concentrations in sedimentary rocks containing kimberlite could act as a new indicator for locating hidden diamond-bearing kimberlites.

Predicting plateau atmospheric ozone concentrations by a machine learning approach: A case study of a typical city on the southwestern plateau of China

Atmospheric ozone (O3) has been placed on the priority control pollutant list in China's 14th Five-Year Plan. Due to their unique meteorological conditions, plateau regions contain high concentrations of atmospheric O3. However, traditional experimental methods for determining O3 concentrations using automatic monitoring stations cannot predict O3 trends. In this study, two machine learning models (a nonlinear auto-regressive model with external inputs (NARX) and a temporal convolution network (TCN)) were developed to predict O3 concentrations in a plateau area in the Kunming region by considering the effects of meteorological parameters, air quality parameters, and volatile organic compounds (VOCs). The plateau O3 prediction accuracy of the machine learning models was found to be much higher than those of numerical models that served as a comparison. The O3 values predicted by the machine learning models closely matched the actual monitoring data. The temporal distribution of plateau O3 displayed a high all-day peak from February to May. A correlation analysis between O3 concentrations and feature parameters demonstrated that humidity is the feature with the highest absolute correlation (−0.72), and was negatively correlated with O3 concentrations during all test periods. VOCs and temperatures were also found to have high positive correlation coefficients with O3 during periods of significant O3 pollution. After negating the effects of meteorological parameters, the predicted O3 concentrations decreased significantly, whereas they increased in the absence of NOx. Although individual VOCs were found to greatly affect the O3 concentration, the total VOC (TVOC) concentration had a relatively small effect. The proposed machine learning model was demonstrated to predict plateau O3 concentrations and distinguish how different features affect O3 variations.

Bivariate iterated Farlie–Gumbel–Morgenstern stress–strength reliability model for Rayleigh margins: Properties and estimation

In this paper, we propose bivariate iterated Farlie–Gumbel–Morgenstern (FGM) due to [Huang and Kotz (1984). Correlation structure in iterated Farlie-Gumbel-Morgenstern distributions. Biometrika 71(3), 633–636. https://doi.org/10.2307/2336577] with Rayleigh marginals. The dependence stress–strength reliability function is derived with its important reliability characteristics. Estimates of dependence reliability parameters are obtained. We analyse the effects of dependence parameters on the reliability function. We found that the upper bound of the positive correlation coefficient is attaining to 0.41 under a single iteration with Rayleigh marginals. A comprehensive comparison between classical FGM with iterated FGM copulas is graphically examined to assess the over or under estimation of reliability with respect to α and β. We propose a two-phase estimation procedure for estimating the reliability parameters. A Monte-Carlo simulation study is conducted to assess the finite sample behaviour of the proposed reliability estimators. Finally, the proposed estimators are examined and validated with real data sets.

Effect of unconventional waters irrigation on some morphological and physiological parameters of barley

A test on a variety of barley “Fouara” was carried out to verify the effects of treated wastewater on some physio-morphological parameters of this plant. Two different types of irrigation were chosen, one using treated wastewater from the Ain Beida wastewater treatment plant, and the other, ordinary water serving as a control. The physicochemical results of the treated wastewater showed, in particular, the EC, NH4, NO3 and the DCO/DB05 ratio do not exceed the admissible standards when they reach their maximum values The physio-morphological parameters of barley respond positively to the use of this water; represented by the two averages of the 'sugar' parameter which shows a clear difference depending on the water category (T and S) or the control individuals express an average (0.055) significantly lower than that of the S individuals (0.847). We note that significant values of the positive correlation coefficient of r=0.812 between the two parameters TRE and SF, therefore there is an association between these two factors. But negative for the TRE and PSF (r = -0.722). This means that the values of the two parameters do not evolve in the same direction. The factors 'sugar' and 'chlorophyll b' present the best correlation, they better represent the six individuals and the proline contents are higher in the treated plants.

The Environmental Kuznets Curve (EKC) Hypothesis on GHG emissions: analyses for transportation industry of South Africa

A series of energy-econometrics techniques were employed for a 5-year time span between 2016 and 2020. The tests of Environmental Kuznets Curve (EKC) hypothesis were conducted essentially to examine the significance of economic growth (GDP), energy consumption (EC), with energy intensity (EI), and on-road passenger vehicles (PV) as related to economic development on the mitigation of carbon emissions (CO2-eq) in the transportation industry of South Africa. The findings from the prevailing research imply that, with respect to South Africa’s transportation industry, CO2-eq emissions increased in the course of early phases of economic growth while it tends to decline at certain levels of economic threshold. Though the nation maintains the edge of turning points in both the industrial and circular economy. The results further indicate a nexus between GDP and EC, which consequently affect the CO2-eq emissions. The findings proffer the needs to monitor the EC from the long-run impacts alongside the short run impacts of the forecast. The per capita GDP from the short-run impacts of t-stat—(4.928) to the long run effects of t-stat—(5.033) rises, indicating its improper influence in the industry. To limit the use of fossil-based fuels, as demonstrated in the negative signal of EI for long-run impacts of a p-value (0.2835), then to the short run effects which possess a significant p-value. It also highlights the directional correlation surfacing between EC, EI and South Africa’s on-road PV. In the computation context, the series was determined to be stationary at its first differences, as evident by the R2 combined with the R2 (Adjusted) values of 0.9837 and 0.9827, respectively, for both long-run and short-run assessments. The indication of the research among others further reveals that public transportation systems of road and rail options, which have the potentials to incorporate alternative energy sources, can be the required efforts to mitigate climate change and global warming effects in the transportation industry.

ENHANCING PERFORMANCE OF MANGO FARMING PROJECTS THROUGH PARTICIPATORY PROJECT MANAGMENT

Objective: This paper advocates for a paradigm shift from the traditional project management to a participatory approach throughout the management cycle, for increased performance of mango farming projects. Theoretical Framework: Theories adopted: i. Project Management Theory: Highlights life cycle stages in uncovering new project insights. ii. Stakeholder Theory: Highlights the unity of stakeholders for enhanced involvement in projects. iii. Participation Ladder Theory: Enhances success through active participation. iv. Theory of Constraints: Confronts project challenges related to time, cost, and scope to achieve beneficial changes. Method: The empirical study was carried out in Makueni County, Kenya. It used descriptive cross-sectional design and multistage rsampling on a population of 12,622, out of which a sample of 375 respondnets selected. Of these, 369 questionnaires were returned and analyzed. Additionally, it involved 15 key informants. Observation and an interview guides collected qualitative data. Descriptive and inferential tools, correlation, F-tests, regression and content analysis analyzed quantitative and qualitative data. Results and Discussion: Results reflected item scores showing the composite mean of 3.2 and standard deviation of 3.0. Revealed is a significant positive correlation coefficient (r = 0.592), p-value (p = 0.000) of the relationship between two variables. Research Implications: This study recommends adopting a participatory project cycle approach, supported by a feasible policy, to guide innovative mango farming practices to enhance the overall performance. Originality/Value: The study contributes to literature by advocating project management cycle approach on performance of mango projects in today’s evolving project environment.

Multivariate Statistical Approach and Assessment of Pollution of Water and Sediments in Karstic Springs of Transboundary Aquifer Žumberak–Samoborsko Gorje Mountain (Croatia/Slovenia)

This study highlights the geochemistry of water and sediments of the karstic springs of the transboundary aquifer (TBA) Žumberak–Samoborsko Gorje Mt. (NW Croatia). After calculating pollution indices, the analysis showed that the sediments are unpolluted. The geo-accumulation index (Igeo) showed only the elements Ba and Rb, indicating moderate levels of pollution, with the highest values in springs Vapnik and Bistrac. Statistical analysis confirmed their natural origin. The water of these springs is under possible anthropogenic influence as indicated by elevated concentrations of total nitrogen (TN) and total phosphorus (TP). According to a principal component analysis (PCA) for elements in sediments, PC1 described a combined lithogenic and oxidative–reductive influence, PC2 described a combined geological background including total organic carbon (TOC) content and oxidative–reductive influence, while TOC had the greatest influence on PC3. Depending on element composition, the factor scores related to PC1 and PC2 resulted in two different groups of sites, while the factor scores concerning PC1 and PC3 did not show separation in two groups. The hierarchical cluster analysis showed three clusters in relation to the content of the elements. The correlation coefficient between the sediment and related water samples showed that the springs placed in a low-permeability formation (dolomite) had a strong positive coefficient of correlation.

A preliminary observation in evaluating maize evapotranspiration and plant features under meteorological variables and biochar effect

ABSTRACT A significant area of Hungary is cultivated with maize. To date, a limited number of direct field-based evapotranspiration studies have been performed. A Thornthwaite-Mather-type compensation evapotranspirometer was used to investigate both weather variables and biochar effects on maize evapotranspiration in Keszthely, Hungary, in the 2023 growing season. This research revealed that two meteorological variables daily mean temperature (Ta) and solar radiation (Rn) exhibited significant positive correlation coefficients in both daily evapotranspiration (ETa) applied treatments (0 and 400 kg ha−1 biochar), whereas precipitation (P) and daily relative humidity (RH) had negative impacts on both ETa treatments. Biochar application to a clay loam soil increased cumulative evapotranspiration (ETc), reaching 408.21 mm, while WUE (water use efficiency) stood at 3.46 kg m−3. Similarly, growth parameters (leaf area cm2, stem diameter cm, plant height cm, and chlorophyllSPAD) showed a positive effect after biochar amendment during the growing season intervals. This research outlined the most effective weather variables on ETa and how ETa could be computed depending on two climatic variables (Ta and RH). Furthermore, it concluded that biochar addition at low dose to clay loam soil is a powerful tool to improve ETc, WUE, and maize growth and productive features.

Moderating effect of bank performance on bank value: Evidence from Jordan

The relationship between bank performance and bank value is a crucial area of study, particularly in the context of emerging economies like Jordan. This study aims to investigate the moderating effect of bank performance on bank value, providing insight into how performance metrics influence overall valuation. The study employs a comprehensive methodological approach, utilizing panel data regression analysis to examine data from a sample of Jordanian banks over the period from 2014 to 2022. Key performance indicators such as Tobin’s Q, accounting conservatism, debt ratio, current ratio (CR), return on assets (ROA), and asset turnover are factors that influence bank value in the Jordanian market. The results reveal that bank performance significantly moderates the relationship between bank-specific factors and bank value. Specifically, the study finds that return on assets has a positive and statistically significant effect on bank value. The analysis reveals a significant positive correlation between bank value and profitability, as evidenced by a moderate positive correlation coefficient (0.26) between Tobin’s Q and ROA. However, weak or non-significant correlations are observed between bank value and accounting conservatism, debt ratio, and asset turnover.

DeepFeature: Guiding adversarial testing for deep neural network systems using robust features

With the deployment of Deep Neural Network (DNN) systems in security-critical fields, more and more researchers are concerned about DNN robustness. Unfortunately, DNNs are vulnerable to adversarial attacks and produce completely wrong outputs. This inspired numerous testing works devoted to improving the adversarial robustness of DNNs. Coverage and uncertainty criteria were proposed to guide sample selections for DNN retraining. However, they are greatly limited to evaluating DNN abnormal behaviors rather than locating the root cause of adversarial vulnerability. This work aims to bridge this gap. We propose an adversarial testing framework, DeepFeature, using robust features. DeepFeature generates robust features related to the model decision-making. It locates the weak features within these features that fail to be transformed by the DNN. They are the main culprits of vulnerability. DeepFeature selects diverse samples containing weak features for adversarial retraining. Our evaluation shows that DeepFeature significantly improves overall robustness, average improved by 77.83%, and individual robustness, average improved by 42.81‰, of the models in adversarial testing. Compared with coverage and uncertainty criteria, these two performances are improved by 3.93% and 15.00% in DeepFeature, respectively. The positive correlation coefficient between DeepFeature and improved robustness can achieve 0.858, and the p-value is 0.001.

The Impact Of Endorphin Massage On The Efficient Production Of Postpartum Breast Milk In TPMB Sulastri, Pagelaran District, Pringsewu Regency In 2024.

Initiating breastfeeding within the first day of delivery has been shown to decrease the likelihood of newborn mortality. It is specifically demonstrated to provide exclusive protection against diarrhea, respiratory infections, and pneumonia ASI. The project seeks to investigate endorphin massage's impact on smoothness development in postpartum women at TPMB Sulastri, S.ST., M.Kes in 2024.ASI stands for Automatic Speech Recognition. This research employs a quasi-experiment design utilizing a pretest-posttest control group strategy. The sample included of 14 participants in the intervention group and 14 participants in the control group. Purposive sampling techniques were employed. The instrument utilizes Standard Operating Procedures (SOP) and checklist sheets. A three-day Endorphin massage treatment was administered and assessed using the Mann-Whitney test. The study found that 50% of individuals had a moderate frequency of meal intake. The utilization rate of non-hormonal contraceptives was 71.4%. The weight of newborns does not exceed 100% of the BBLR. The gestational age at the time of labor is 100% accurate. The mean milk output of the intervention group was 2.6 before and 7.5 after. The mean of the control group was 2.5 before and 5.2 after. The endorphin massage significantly impacted the efficient production of breast milk in postpartum moms. This was evidenced by a p-value of 0.000 (< 0.05) and a positive Correlation Coefficient value of 0.88, indicating a highly robust association between the two variables. Ultimately, endorphin massage has a significant impact on facilitating the efficient production of breast milk in mothers throughout the postpartum period. It is desirable for lactating postpartum women to regularly engage in endorphin massage to ensure the continuous and unobstructed flow of breast milk during the entire two-year duration of breastfeeding.

Interpreting Histopathology Reports of Temporal Artery Biopsies Positive for Giant Cell Arteritis (GCA): A Single-Center Retrospective Study.

The gold standard for diagnosing giant cell arteritis (GCA) is temporal artery biopsy (TAB). However, specific histopathologic findings on biopsy reports are rarely considered in the context of the patient's clinical presentation. The purpose of this study was to analyze the correlation of specific biopsy findings with the clinical presentation of patients with GCA. Retrospective chart review of patients with a clinical and histopathologic diagnosis of GCA at a single tertiary care neuro-ophthalmology practice from January 2014 to September 2023. Histopathologic findings on TAB were recorded for each patient, along with clinical history, examination, and treatment. Continuous variables were reported as mean values with standard deviations (SD), while categorical variables were described as percentages. Correlation coefficients with P-values were used to evaluate the relationship between biopsy findings and clinical data. A total of 53 patients were included. TAB specimens ranged in length from 0.6 to 3.4 cm, with a statistically significant correlation coefficient between specimen length and total number of positive findings on the biopsy report. A positive correlation coefficient that approached statistical significance was found between the presence of lymphocytes in the biopsy and permanent vision loss (R = 0.253, P-value 0.054), which occurred in 27 patients. Patients were treated with steroids prebiopsy for an average of 9 days; there was no statistically significant correlation between the duration of steroid treatment and the presence of specific histopathologic findings other than involvement of the intima. The results of this study demonstrate that (1) longer temporal artery biopsy specimens are significantly correlated with a higher number of findings on biopsy reports; (2) the presence of arterial stenosis, eosinophils, and lymphocytes correlated with permanent vision loss or degree of vision loss; and (3) the duration of steroid treatment had a significant inverse correlation with intimal involvement but did not affect other histopathologic findings seen with GCA. This retrospective observational study provides clinicians with an approach to understanding the nuances of the histopathologic findings on their patient's TAB report.

Exploring the capabilities and limitations of the Van Hove function to understand directional correlations in ion movements within Li-ion battery electrolytes.

Understanding microscopic directional correlations in ion movements within lithium-ion battery (LIB) electrolytes is important because these correlations directly affect the ionic conductivity. Onsager transport coefficients are widely used to understand these correlations. On the other hand, the Van Hove function (VHF) is also capable of determining correlated motions. However, identifying various types of ion correlated motions in LIB electrolytes using VHF is not well explored. Here, we have conducted molecular dynamics simulations of a representative experimental LIB electrolyte system-lithium hexafluorophosphate (LiPF6)-at different concentrations in a (9:1 wt. %) mixture of ethyl methyl carbonate and fluoroethylene carbonate in order to explore the capabilities and limitations of using VHF to understand different types of ion correlations. We conclude that analysis of VHF can qualitatively describe both the positive correlation between cation-anion at different salt concentrations and the negative correlation between cation-cation and anion-anion present in high salt concentration, but it cannot foretell which correlation is dominating at any given electrolyte concentration. This type of quantitative information can be obtained only via Onsager's approach. This could be seen as a limitation of relying solely on VHF to fully understand ion correlation in electrolyte media.

Study of nitrogen and phosphorus nutrient dynamics in concentrated marine fish farming water environment in Long Son - Vung Tau

The nutritional content of N and P in concentrated marine fish farming water in the Cha Va - Long Son - Vung Tau estuary area increased sharply during 2013–2016; notably, the N-NH4+ content increased in 2017–2019. The N-NO2- and N-NO3- content in the dry season (0.051 mg/L and 0.190 mg/L) was higher than in the rainy season (0.044 mg/L and 0.133 mg/L). In contrast, the N-NH4+ and P-PO43- contents in the rainy season (0.321 mg/L and 0.1 mg/L) are higher than in the dry season (0.154 mg/L and 0.093 mg/L). The N and P nutrient dynamics in water fluctuate according to the semi-diurnal tide regime; the nutrient content decreases during high water - daytime, increases during low water in the evening, and is high during high water at night and in the morning, early the next day. In dry and rainy seasons, the N-NH4+ content is always the highest (0.024–0.761 mg/L) among the nitrogen-based nutritional parameters. N and P nutrients in water are correlated: N-NH4+ parameter pairs with Total P, N-NO2- with Total P, Total N with Total P, N-NO2- and N-NO3-, P-PO43- with Total P, and the parameter pair N-NO2- with P-PO43- have low positive correlation coefficients (r), from 0.1–0.21. Conversely, the parameter pairs N-NO3- and Total N, N-NO3- and N-NH4+, and N-NO2- and N-NH4+ have low negative correlation coefficients (r), from -0.12 to -0.26. From 2010–2021, the number of cages increased beyond planning, causing environmental pollution in the water in the farming area. The nutritional RQ value of the water is high at level 4 every year (very high risk of environmental pollution).

The Relationship Between Sleep Quality and Mean Arterial Pressure (Map) Value In The Elderly With Hypertension In The Working Area Of The Palasari Health Center, Subang Regency

Abraham Maslow (1984) proposed a hierarchy of needs that includes 5 basic needs and desires in humans. The 5 levels of basic human needs are physiological needs Basic human needs are the elements needed to maintain balance, both physiologically and psychologically. One of them is sleep where humans need to meet their basic needs to achieve optimal energy needs. The current investigation employs a cross-sectional research design, utilizing a correlational approach to examine the research question at hand. The sampling method in this research used simple random sampling, the total sample was 94 respondents. The research instrument used the PSQI questionnaire and digital sphygmomanometer instrument. Where the Spearman Rank test results were obtained with a p-value < 0,001 and a Correlation Coefficient value of 0.503. So, based on the results of this research, it can be concluded that there is a relationship between sleep quality and MAP value in elderly people with hypertension in the work area of ​​the Palasari Health Center, Subang Regency in 2024 with a p-value<0,001 with a positive correlation coefficient. It is expected that the research will serve as a benchmark for future researchers in the field of education, particularly in their endeavors to enhance the quality of sleep in elderly individuals afflicted with hypertension, utilizing the MAP standards.