Quality Index Research Articles

Assessment of water supply to the East European Arctic agglomeration from groundwater, taking into account their quality and health risks

The purpose of the study is to assess the possibilities of using groundwater for water supply in the East European Arctic agglomeration based on an assessment of their quality and health risks. For this purpose, high-precision determinations of the complete macro- and microcomponent composition were carried out in sixty-six water samples taken from wells up to 180 meters deep. It was found that in some samples the concentrations of Na+, Fe, B, Ba, Mn and U exceeded WHO standards. The least mineralized young waters are characterized by the processes of dissolution of carbonates with the transition of Ca, Mg, Ba, Sr into water, and the processes of leaching of Fe and Mn by acidic swamp waters from near-surface sediments. Waters of high mineralization, enriched in Na+, Cl-, B, Mo, Cd, Pb, were formed as a result of the dissolution of aluminosilicate rocks over thousands of years and mixing with relics of ancient and modern marine transgressions. An assessment of the average Water Quality Index value of the studied aquifer showed that, in general, the water is of excellent quality. Non-carcinogenic risks were determined primarily by uranium concentrations. The average danger index values for this element for children were 1.22. In adults it was slightly lower and amounted to 0.83. Carcinogenic risks are associated primarily with arsenic concentrations. The average total carcinogenic risk associated with this element was 3.8.10-5, which is acceptable, but samples from two wells showed total carcinogenic risk values above 10-4, which is in the high-risk area. For drinking purposes, it is preferable to use low-mineralized water with a minimum content of toxic elements. If necessary, preliminary aeration of the water is possible, during which precipitation of iron, arsenic and uranium occurs. Due to the typical nature of the problem under consideration for the Arctic regions, the results obtained can be used at other sites in the Subpolar zone.

Assessment of temporal and spatial variations of water quality parameters in the Zarafshan River basin

AbstractRiver ecosystems in Central Asia face significant stress from environmental changes and pollution. This study assesses temporal and spatial variations in water quality parameters within the Zarafshan River Basin using retrospective data and field measurements. Water quality indicators, including electrical conductivity (EC), total suspended solids (TSS), ammonium nitrogen (N‐NH4), nitrite nitrogen (N‐NO2), nitrate nitrogen (N‐NO3), temperature (T), chemical oxygen demand (COD), dissolved oxygen (DO), and discharge, were analyzed using the Pearson's correlation coefficient and ANOVA, with the Mann–Kendall (MK) test detecting trends over time. Obtained results indicate significant seasonal effects with elevated TSS during summer, increasing sediment load and changing aquatic habitats. The strong inverse correlation (–0.89) between DO and N‐NH4 signifies ecological challenges particularly in low DO concentrations during summer (3.25 mg L–1). Long‐term analysis identifies Navoiazot chemical factory as a major pollution hotspot. Spatial analyses based on extended sampling have revealed the Siab and Dargom canals and Samarkand City as major pollution sources of elevated N‐NO2 and COD, respectively. Trends at various gauging stations (MK‐test) show increasing EC (τ = 0.72) and N‐NH4 (τ = 0.46) levels, with decreasing TSS, N‐NO3, T, and COD levels over time. Recommendations include targeted measures to reduce pollution at the Navoiazot factory and downstream, introducing sustainable agriculture practices, increasing public awareness for environmental conservation, and improving urban wastewater treatment to meet water quality requirements for different users.

Fruiting Characteristics and Molecular-Assisted Identification of Korla Fragrant Pear Bud Mutation Materials

Korla fragrant pear is a high-quality local pear variety native to Xinjiang, China. Currently, the low fruit-setting rate and low calyx shedding rate problems in Korla fragrant pears have been highlighted, which seriously affect the fruit yield and quality. It is of great significance to research the fruiting characteristics and molecular-assisted identification of Korla fragrant pear bud mutation materials for enriching the germplasm resources of Korla fragrant pear. In this research, a natural pollination group (YB) of Korla fragrant pear bud mutation materials and a natural pollination group (CK) of Korla fragrant pears were established. On the fruiting characteristics, the fruit-setting rate and calyx-removal rate of the two groups were investigated. In terms of fruit quality, the fruit shape index, fruit specific gravity, soluble solids content, sugar:acid ratio, soluble sugar content, and other indicators were measured. For the anatomical structure of the calyx tube, the detachment cells were observed. The formation time of the two groups of detached cells was compared. In the GBS simplified genome sequencing, a phylogenetic tree was constructed based on the obtained SNP sites. A principal component analysis, population genetic structure analysis, and genetic diversity index analysis were carried out. In the aspect of SSR molecular marker identification, the SSR types were counted. Polyacrylamide gel electrophoresis was performed. The results demonstrate the following: (1) the fruit-setting rate (30.87%) and calyx-removal rate (68.11%) in the YB group were significantly higher than those in the CK group (19.37%) and the calyx-removal rate (55.18%). (2) There was no significant difference in fruit quality indexes, such as average fruit weight (127.10–130.00 g) and soluble sugar content (9.47–9.56%) between the two groups. (3) Abscission-layer cells were observed at 2, 4, 6, 8, and 10 h after calyx tube discoloration in the YB group and at 48, 72, and 96 h after calyx tube discoloration in the CK group. (4) The genetic background of the YB group and the CK group was similar at the GBS level, but there were differences at the DNA level. This research finally shows that Korla fragrant pear bud mutation material is a good germplasm resource. This germplasm resource can promote the structural optimization of Korla fragrant pear varieties and the healthy development of the industry.

Effects of an 8-week high-dose vitamin D supplementation on fatigue and neuropsychiatric manifestations in post-COVID syndrome: A randomized controlled trial.

This study evaluated the effectiveness of high-dose vitamin D supplementation in alleviating fatigue and neuropsychiatric symptoms in post-COVID syndrome. In an 8-week, double-blind, randomized, placebo-controlled trial, 80 patients with post-COVID fatigue or neuropsychiatric symptoms were enrolled. Participants were randomly assigned to receive either 60,000 IU of vitamin D weekly (n = 40) or a placebo (n = 40) for 8 weeks. Clinical outcomes were assessed using the 11-item Chalder Fatigue Scale (CFQ-11); 21-item Depression, Anxiety, and Stress Scale (DASS-21); Pittsburgh Sleep Quality Index (PSQI); Addenbrooke's Cognitive Examination III (ACE); and Trail Making Test A and B (TMT-A and TMT-B). Baseline and 8-week measurements of inflammatory markers, including interleukin 6 (IL-6) and C-reactive protein (CRP), were also collected. Significant improvements were found in the vitamin D group for CFQ (coefficient -3.5, P = 0.024), DASS-anxiety (-2.0, P = 0.011), and ACE (2.1, P = 0.012). No significant differences were observed in PSQI, DASS-depression, TMT, IL-6, or CRP levels. The incidence of adverse events was comparable between groups, with no serious adverse events reported. High-dose vitamin D supplementation may benefit patients with post-COVID syndrome by reducing fatigue, alleviating anxiety, and improving cognitive symptoms, with minimal side effects.

Comprehensive analysis including in-game spending and violent game playing in patients with internet gaming disorder.

Internet gaming disorder (IGD) is receiving increasing attention. In particular, violent gameplay or in-game spending affects the psychiatric conditions and economic difficulties of patients. We conducted regression analysis and path analysis to investigate the associations between a comprehensive list of factors in patients with IGD, including the degree of internet or gaming dependence, developmental problems, family background, severity of depression, sleeping habits, in-game spending, and first-person shooter (FPS) and third-person shooter (TPS) game playing. The participants were 47 Japanese individuals (39 males and 8 females) aged ≤20 years diagnosed with IGD with complete data from the internet addiction test, autism spectrum quotient, Quick Inventory of Depressive Symptomatology, and Pittsburgh Sleep Quality Index. All participants were asked whether their parents have divorce history, whether they have siblings, whether they play FPS or TPS games, and whether they engage in in-game spending. Firstly, we compared these factors between males and females; secondly, we conducted regression analysis and path analysis in male patients. As for simple comparison between sex, female patients showed greater severity of IGD and depressive score. In regression analysis of male patients, significant associations were found between FPS or TPS game playing and in-game spending. We also created path diagrams. The results of the comprehensive analyses suggest the possibility that bidirectional synergistic effects could be achieved by gradually reducing both violent game playing and in-game spending. The concept of internet dependence has a wide range of meanings, and for each subtype, it is important to consider the background that led to the dependence to make individualized environmental adjustments and provide psychotherapy.

Sleep Characteristics in Dance Students Related to Psychological Inflexibility.

Introduction: Dance, as a performance activity, is associated with various problems. Among these challenges, sleep disturbances are notably prevalent. Aims: This study aimed to explore the potential relationship between sleep characteristics-specifically chronotype and subjective sleep quality- and psychological inflexibility in dance students. Methods: This research adopted a cross-sectional design using non-probabilistic sampling. The data were collected in paper format by visiting public conservatories and private academies, and online. One hundred fourteen dance students, with a mean age of 23.87 years, participated in the study. Assessment tools included the Acceptance and Action Questionnaire-II, Pittsburgh Sleep Quality Index, and the Composite Scale of Morningness. Results: The results revealed that 80.7% of all students reported poor sleep quality, compared to 19.3% who reported good sleep quality. Differences emerged in both subjective sleep quality (F(2, 113) = 4.825, P = .010) and chronotype (F(2, 113) = 6.172, P = .003) when students were grouped according to low, medium, or high levels of psychological inflexibility. Those with low inflexibility, as opposed to those with high inflexibility, report better sleep quality, with no differences observed between medium and high inflexibility groups. Students with high-medium levels of psychological inflexibility showed a higher risk (OR = 6.373 times higher) of experiencing poor sleep quality compared to those with low psychological inflexibility. In terms of chronotype, the low inflexibility group is inclined to be more of a morning type than the medium and high inflexibility groups, with no differences between the latter 2 groups. Students categorized as having low inflexibility tend to have a longer history of dancing under the guidance of a teacher and dedicate more hours and days per week to rehearsal. Conclusion: Conservatories can become "healthy spaces." In this regard, sleep hygiene programs and Acceptance and Commitment Therapy interventions can provide guidance to professionals working with dancers in professional companies and conservatories.

Association between Air Quality Index and the risk of rosacea: A Nationwide population-based Cohort Study.

Air pollution is associated with several inflammatory skin disorders. However, the association between air quality and rosacea remains unclear. To investigate the association between air quality index and incidence of rosacea. Overall, 21,709,479 participants without rosacea before 2008 were recruited from the Taiwan National Health Insurance Research Database. The long-term average air quality index (AQI) value for each participant was acquired from the Taiwan Air Quality Monitoring System Network and calculated from 2008/1/1 until the diagnosis of rosacea, withdrawal from the National Health Insurance, or December 31, 2018. We observed a significant association between AQI and the incidence of rosacea, with each unit elevation in AQI increasing the risk of rosacea by 5 %. Compared with the Q1 group, the Q2, Q3, and Q4 cohorts exhibited 1.82-fold, 4.48-fold and 7.22-fold increased risk of rosacea, respectively. Additionally, exposure to PM2.5, SO2 and CO increased the risk of rosacea, whereas exposure to PM10 was associated with a lower risk. This study supported a significant dose-response relationship between AQI and the incidence of rosacea.

The great recession, neurotic personality, and subjective sleep quality among patients with mood disorders

Previous studies exploring the effects of the business cycle on sleep have mostly focused on the general population, and their results have been inconclusive. This study aimed to explore the effects of the 2008 economic crisis and personality traits on the subjective sleep quality of outpatients with mood disorders. In this cross-sectional study, patients with mood disorders were recruited from two medical centers and a psychiatric hospital. Socio-demographics, the Eysenck Personality Questionnaire-Revised, and the Pittsburgh Sleep Quality Index (PSQI) were collected through in-person interviews. Candidate predictors significantly associated with PSQI scores in univariate analysis were included in a multiple linear regression model. There were 334 participants; 29% had unipolar depression, and 71% had bipolar affective disorder. The average PSQI score was 11.0 (±4.0). A higher degree of neuroticism [β(se) = 0.49 (0.07), p < 0.001] and recession period (vs. recovery period) [β(se) = 1.72 (0.47), p < 0.001] were associated with a higher PSQI score after adjusting for education, occupational class, and diagnosis. In conclusion, neuroticism and macroeconomy were independent predictors of subjective sleep quality in patients with mood disorders. This study suggests that large-scale economic crises have negative impacts on the sleep health of high-risk clinical populations.

Value of combining targeted emergency nursing with psychological nursing in children with febrile convulsions.

Febrile convulsions are a common pediatric emergency that imposes significant psychological stress on children and their families. Targeted emergency care and psychological nursing are widely applied in clinical practice, but their value and impact on the management of pediatric febrile convulsions are unclear. To determine the impact of targeted emergency nursing combined with psychological nursing on satisfaction in children with febrile convulsions. Data from 111 children with febrile convulsions who received treatment at Nantong Maternal and Child Health Care Hospital between June 2021 and October 2022 were analyzed. The control group consisted of 44 children who received conventional nursing care and the research group consisted of 67 children who received targeted emergency and psychological nursing. The time to fever resolution, time to resolution of convulsions, length of hospital stays, Pittsburgh Sleep Quality Index, patient compliance, nursing satisfaction of the parents, occurrence of complications during the nursing process, and parental anxiety and depression were compared between the control and research groups. Parental anxiety and depression were assessed using the Hamilton Rating Scale for Depression (HAMD) and the Hamilton Rating Scale for Anxiety (HAMA). The fever resolution, convulsion disappearance, and hospitalization times were longer in the control group compared with the research group (P < 0.0001). The time to falling asleep, sleep time, sleep quality, sleep disturbance, sleep efficiency, and daytime status scores were significantly better in the research group compared with the control group (P < 0.0001). The HAMD and HAMA scores for parents of children in the research group were lower than the scores in the control group after nursing (P < 0.05). Compliance with treatment of children in the research group was higher than in the control group (P < 0.05). Parental satisfaction with nursing in the research group was higher than in the control group (P < 0.05). The total complication rate of children in the control group was higher than in the research group (P < 0.05). Combining psychological nursing with targeted emergency nursing improved the satisfaction of children's families and compliance with treatment and promoted early recovery of clinical symptoms and improvement of sleep quality.

Effect of psychological nursing intervention combined with acupressure on postoperative recovery of women after cesarean section.

Psychological intervention nursing (PIN) has been considered to have a curative effect on cesarean section (CS) postoperative recovery. However, the therapeutic mechanisms remain obscure. To explore the effects of PIN combined with acupressure massage on CS postoperative recovery. A retrospective study was conducted on 150 pregnant women admitted to an obstetrics department between January 2020 and January 2023. The control group (CG) received acupressure therapy (n = 73), and the intervention group (IG) received acupressure therapy and PIN therapy (n = 77). Postoperative recovery time was assessed by anal-exhausting, defecation, bed activity, breastfeeding, and hospital stay times. Adverse effects, including infection, bleeding, limb numbness, intrauterine hematoma, urinary retention, and venous thromboembolism, were recorded. the pain visual analogue scale (VAS) was used to evaluate the degree of pain. Anxiety and depression status were qualitatively assessed using the self-rating anxiety scale (SAS), self-rating depression scale (SDS), and Edinburgh postpartum depression scale (EPDS). The Pittsburgh sleep quality index (PSQI) was used to compare sleep quality between the groups. The baseline data and SAS, SDS, EPDS, and PSQI scores did not significantly differ before CS (P > 0.05) and neither did complication rates between the two groups after CS (P > 0.05). However, anal-exhausting, defecation, waking up, breastfeeding, and hospitalization times were significantly shorter for participants in the IG than those for participants in the CG (P < 0.05). The VAS, SAS, SDS, EPDS, and PSQI scores of the IG were significantly lower than those of the CG (P < 0.05). PIN, combined with acupressure massage, effectively promotes maternal recovery, reduces post-CS pain, and improves postoperative negative emotions and sleeping quality.

Intersections of Modifiable Risks: Loneliness is Associated with Poor Subjective Sleep Quality in Older Women at Risk for Alzheimer's Disease.

We examined the relationship between subjective and objective sleep outcomes and loneliness in older women at risk for Alzheimer's disease (AD). Our sample consisted of 39 participants (aged 65+) with mild cognitive deficits who completed the UCLA Loneliness Scale, the Pittsburgh Sleep Quality Index (PSQI), and an at home sleep test, to determine presence of obstructive sleep apnea. Based on sleep quality scores, individuals categorized as "poor sleepers" had significantly higher loneliness scores than "good sleepers." However, total loneliness scores did not significantly differ between groups with or without sleep apnea. We found that higher loneliness was significantly associated to lower habitual sleep efficiency and sleep duration and was also influenced by use of sleep medication. Our findings suggest that increased loneliness relates to worse subjective sleep quality, but not to sleep apnea. These findings suggest that combined interventions targeting loneliness and sleep quality may be important for older women.

Influence of shift work on sleep quality and circadian patterns of heart rate variability among nurses

ABSTRACT Background: Shift work implementation is essential for providing continuous patient care in hospitals. However, working in shifts on a routine basis may disrupt the circadian pattern and alter the sleep-wakefulness cycle in nurses. Stress due to shift work can influence the adaptability of the cardiovascular system, produce psychophysiological strain and deteriorate work performance in female nurses. Objective: This study investigated the effect of morning and night shift work on sleep quality and circadian patterns governing heart rate variability (HRV) in female nurses working in a tertiary care hospital. Methods: Thirty-eight healthy female nurses were recruited. Frequency and time domain parameters of HRV were recorded as markers of cardiac autonomic function. A student t-test was used to investigate differences in HRV between morning and night shift workers. Mann-Whitney non-parametric test was applied for the difference between Pittsburgh Sleep Quality Index (PSQI) scores in the two groups Results: Standard deviation of the normal-to-normal interval (SDNN) (msec), total power (ms2) and high-frequency (HF) band power (ms2) were significantly reduced in night shift nurses than in morning shift nurses. The low-frequency (LF)/HF ratio was significantly increased in night shift nurses. The differences in standard deviation of the averages of NN intervals (SDaNN) (msec), root mean square of successive differences between adjacent NN intervals (RMSSD), mean NN, very low-frequency (VLF) band power (ms2) and LF band power (ms2) were not statistically significant. The global PSQI score was significantly higher among night shift workers than in morning shifts. Conclusion: Inadequate sleep can disrupt the body’s ability to regulate heart rhythm and increase the risk of cardiovascular diseases and mortality. The research suggests a propensity for autonomic imbalance in night shift workers when compared to their counterparts on morning shifts.

Sleep quality and glycemic control in adults with type 2 diabetes mellitus

ABSTRACT Aim: Type 2 diabetes mellitus (T2DM) is a common disease that imposes a substantial burden on the healthcare system and patients. Lifestyle modification such as sleep hygiene plays a crucial role in glycemic control. Sleep disorders impact many aspects of health. In this study, we aimed to investigate the correlation between sleep quality and glycemic control in T2DM. Method: This cross-sectional study was performed on 163 T2DM patients, attending Shahid Beheshti Hospital in Hamadan, Iran from March 2020 to 2021. Besides recording the demographic data and HbA1c level of participants, they were asked the Pittsburgh Sleep Quality Index questionnaire for evaluating sleep quality. We employed SPSS ver. 21 for data analysis and considered 0.05 as a significant level Results: Among all participants, 62 (38%) were female and 30.7% were illiterate. The mean age was 56.67 ± 12.90 years, and HbA1c was 9.03 ± 1.92 mg/dL. Among sleep metrics, mean waking time was 8.74 ± 1.74 hours, and average sleep time was 12.90 ± 4.90 hours. Overall, 58.2% of the participants had poor glycemic control and 44.8% were suffering from poor sleep quality. We found that patients with poor glycemic control exhibited significantly higher levels of sleep disturbances compared to those with good glycemic control (P &lt; 0.001). Conclusion: Sleep quality is associated with glycemic control in patients with T2DM. Sleep disorders are common among diabetic patients. Thus, healthcare providers need to consider sleep quality improvement in their holistic approach to diabetes management.

Assembly of root-associated bacterial community and soil health in cadmium-contaminated soil affected by nano/bulk-biochar compost associations

Biochar (BC) has been proven effective in promoting the production of safety food in cadmium (Cd)-polluted soil and the impact can be further enhanced through interaction with compost (CM). However, there existed unclear impacts of biochar with varying particle sizes in conjunction with compost on microbiome composition, rhizosphere functions, and soil health. Hence, in this study, two bulk-biochar derived from wood chips and pig manure were fabricated into nano-biochar using a ball-milling method. Subsequently, in a field experiment, the root-associated bacterial community and microbial functions of lettuce were evaluated in respond to Cd-contaminated soil remediated with nano/bulk-BCCM. The results showed that compared to bulk-BCCM, nano-BCCM significantly reduced the Cd concentration in the edible part of lettuce and the available Cd in the soil. Both nano-BCCM and bulk-BCCM strongly influenced the composition of bacterial communities in the four root-associated niches, and enhanced rhizosphere functions involved in nitrogen, phosphorus, and carbon cycling, as well as the relative abundance and biodiversity of keystone modules in rhizosphere soil. Furthermore, soil quality index analysis indicated that nano-BCCM exhibited greater potential than bulk-BCCM in maintaining soil health. The data revealed that nano-BCCM could regulate the Cd concentration in lettuce shoot by promoting microbial biodiversity of keystone modules in soil-root continuum and rhizosphere bacterial functions. These findings suggest that nano-biochar compost associations can be a superior strategy for enhancing microbial functions, maintaining soil health, and ensuring crop production safety in the Cd-contaminated soil compared to the mix of bulk-biochar and compost.

Hydro-chemical characteristics of biring and Tangting Rivers (Nepal) and evaluation of water quality for drinking and irrigation purposes

Although river water is vital for drinking, irrigation and domestic needs, it faces threats from natural processes and human activities. Small and medium-sized rivers, especially in Nepal, remain understudied despite their vital importance in providing water to densely populated areas. This study evaluated the suitability for drinking and irrigation and the hydro-chemical characteristics of the Biring and Tangting rivers in Koshi province, Nepal. The results showed that turbidity, pH, EC, TDS, TH, NH4+, K+, Ca2+, Mg2+, Na+, Cl−, SO42−, HCO3− and NO3− values of all sampling sites in the Biring and Tangting rivers, except for the turbidity value of 10.39 NTU recorded in the PT9 site of the Tangting River, did not exceed maximum limit values set for drinking water. However, according to Water Quality Index results, the water of both rivers was in poor condition for drinking due to domestic wastewater discharges and cremation activities which caused high NH4+ levels. The major cations in both rivers were listed as Ca2⁺ > Na⁺ > K⁺ > Mg2⁺, while the major anions were listed as HCO₃⁻ > Cl⁻ > SO₄2⁻ > NO₃⁻. Gibbs and Piper diagrams showed that geogenic weathering of carbonate rocks prevailing in the region affected the hydrochemistry in both rivers. Evaluation based on seven different irrigation indices and US salinity laboratory diagram revealed that the water of both rivers was suitable for irrigation despite some magnesium-related limitations.

Comparing pharmacotherapy and transcranial magnetic stimulation for the treatment of anxiety and depression after aortic dissection surgery.

Aortic coarctation is a potentially fatal condition that is primarily treated surgically. Despite successful procedures, patients frequently experience postoperative anxiety and depression, which can hinder recovery and worsen outcomes. Pharmacological interventions, such as 5-hydroxytryptamine (5-HT) and norepinephrine reuptake inhibitors, are commonly prescribed; however, their efficacy alone or in combination with non-invasive brain stimulation techniques, such as repetitive transcranial magnetic stimulation (TMS), remains unclear. To assess the effect of medications and TMS on post-aortic surgery anxiety and depression. We analyzed the outcomes of 151 patients with anxiety and depression who were hospitalized for aortic dissection between January 2020 and September 2022. Using the random number table method, 75 and 76 patients were allocated to the normal control and study groups, respectively. All the patients were treated using routine procedures. The control group was administered anti-anxiety and anti-depression drugs, whereas the study group was treated with TMS in addition to these medications. The patients in both groups showed improvement after two courses of treatment. The Hamilton Anxiety Scale (HAMA) and the Hamilton Depression Scale (HAMD) were used to assess anxiety and depression, respectively. The serum levels of brain-derived neurotrophic factor (BDNF) and 5-HT were determined using enzyme-linked immunosorbent assay. The Pittsburgh Sleep Quality Index (PSQI) was used to estimate sleep quality, and the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) was used to assess cognitive function. The HAMD and HAMA scores reduced in 2 groups, with the study group achieving a lower level than control (P < 0.05). In the control group, 43 patients recovered, 17 showed improvement, and 15 were deemed invalid. In the study group, 52 recovered, 20 improved, and four were invalid. The efficacy rate in study group was 94.74% compared to 80.00% in control (P < 0.05). The BDNF and 5-HT levels increased in both groups, with higher levels observed in the experimental group (P < 0.05). Moreover, the PSQI scores decreased in 2 groups, but were lower in the intervention group than control (P < 0.05). The scores of the RBANS items increased, with the study group scoring higher than control (P < 0.05). Combining anti-anxiety and anti-depressive drugs with repetitive TMS after aortic surgery may enhance mood and treatment outcomes, offering a promising clinical approach.

Quality of sleep among hypertensive patients attending a rural health training centre

ABSTRACT Introduction: Sleep is a vital biological, reparative, and restorative phenomenon, and poor sleep has a serious detrimental effect on health. Poor sleep quality is a serious problem as it adversely affects a person’s ability to function physically and socially, as well as their potential for profession and quality of life. The degree of hypertension directly affects sleep quality, and poor sleep can exacerbate hypertensive symptoms. This study assesses hypertension patients’ sleep quality in a rural health training centre in Chennai. Objectives: 1. To study the prevalence of poor sleep quality among hypertensive patients. 2. To determine the association between selected socio-demographic factors and sleep quality among these patients. Materials and Methods: Hypertensives attending the outpatient department of a rural health and training centre were selected in a systematic manner and administered a semi-structured interview schedule and the Pittsburgh Sleep Quality Index (PSQI) questionnaire followed by a basic clinical examination. Using the PSQI, they were categorised as having either poor or good sleep quality and the association between selected socio-demographic factors and sleep quality was assessed. Results: Out of the 179 study participants, there were almost equal numbers of male and female participants. The mean age of participants was 57.80 years (standard deviation (SD) = 9.8 yrs.). Among the study participants, 44.13% had completed secondary level of school as an education qualification and 6.70% were illiterate. By the modified BG Prasad classification 2022, most of the study participants (34.08%) came under the class II socioeconomic classification. A large proportion (78.8%) of study participants had poor sleep quality. The difference in sleep quality was observed with respect to gender, socio-economic class, alcohol consumption and body mass index (BMI). Conclusion: This observational study shows that individuals with hypertension suffer significantly from poor sleep. A poor quality of sleep was reported by 78.77% of the patients in this study. Statistically significant factors that influenced sleep quality were gender, alcohol consumption and BMI.

The Perspective of Using Neural Networks and Machine Learning Algorithms for Modelling and Forecasting the Quality Parameters of Coking Coal—A Case Study

The quality of coking coal is vital in steelmaking, impacting final product quality and process efficiency. Conventional forecasting methods often rely on empirical models and expert judgment, which may lack accuracy and scalability. Previous research has explored various methods for forecasting coking coal quality parameters, yet these conventional methods frequently fall short in terms of accuracy and adaptability to different mining conditions. Existing forecasting techniques for coking coal quality are limited in their precision and scalability, necessitating the development of more accurate and efficient methods. This study aims to enhance the accuracy and efficiency of forecasting coking coal quality parameters by employing neural networks and artificial intelligence algorithms, specifically in the context of Knurow and Szczyglowice mines. The research involves gathering historical data on various coking coal quality parameters, including a proximate and ultimate analysis, to train and test neural network models using the Group Method of Data Handling (GMDH). Real-world data from Knurow and Szczyglowice mines’ coal production facilities form the basis of this case study. The integration of neural networks and artificial intelligence techniques significantly improves the accuracy of predicting key quality parameters such as ash content, sulfur content, volatile matter, and calorific value. This study also examines the impact of these quality indicators on operational costs and highlights the importance of final indicators like the Coke Reactivity Index (CRI) and Coke Strength after Reaction (CSR) in expanding industrial reserve concepts. Model performance is evaluated using metrics such as mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R2). The findings demonstrate the effectiveness of these advanced techniques in enhancing predictive modeling in the mining industry, optimizing production processes, and improving overall operational efficiency. Additionally, this research offers insights into the practical implementation of advanced analytics tools for predictive maintenance and decision-making support within the mining sector.

Quantification of two derivatives of malic acid first-time discovered in coffee: Influence of postharvest processing method

This study quantified, for the first time, 2-isopropylmalic and 3-isopropylmalic acids, in green, roasted and espresso coffee by UHPLC-MS/MS. Moreover, it reports the influence of postharvest processing methods (natural, washed and honey) on their content. New extraction techniques were developed and validated from three coffee matrices (green, roasted and espresso). Honey coffee exhibited levels substantially higher of 2-isopropylmalic acid than those processed by natural and washed methods (p < 0.05). Specifically, 2-isopropylmalic acid levels in honey green, roasted and espresso coffee samples were 48.24 ± 7.31 ng/g, 168.8 ± 10.88 ng/g and 177.5 ± 9.49 ng/g, respectively. This research highlights the significant impact of processing methods on the chemical profile of coffee and introduces 2-isopropylmalic and 3-isopropylmalic acids as potential quality indicators. Moreover, it suggests that the fermentation stage during processing may play a crucial role in their formation, laying the foundation for optimizing coffee processing to enhance quality.

Quality and performance indicators for wound management towards value-based healthcare

Outpatient services and specialized wound care clinics have become an expanding practice worldwide, which may be related to the increased life expectancy, rise in chronic diseases, favoring the occurrence of vascular and diabetic ulcers, as well as prolonging their treatment and delaying improvement. The high costs and risks associated with hospitalization lead to the patient being referred to a specialized wound center for continued treatment. The adoption of value-based healthcare models seeks cost reduction but primarily focuses on improving patient health outcomes. Its design and implementation depend on data that allows for measuring the health outcomes and costs of care for each patient and utilizing that information to drive continuous improvements. This study aims to propose quality and performance indicators for becoming a standard practice in specialized nursing services in wound care to enable the adoption of value-based healthcare models. The consultation of 19 experts through the Delphi method enabled the systematic organization of a large number of indicators identified in the literature into 8 categories and 43 specific indicators.