Quality Index Research Articles

Effects of mind-regulating acupuncture on pain, negative emotion and sleep quality in patients with postherpetic neuralgia： a randomized controlled pilot trial.

To observe the effect of mind-regulating acupuncture on pain intensity, sleep quality, negative emotion in patients with postherpetic neuralgia (PHN), and evaluate the clinical effect of mind-regulating acupuncture combined with surrounding needling and heavy moxibustion at Ashi points (Extra) in treatment of PHN. The patients with PHN were randomly divided into a control group (35 cases, 2 cases dropped out) and a comprehensive therapy group (35 cases). The patients in the control group were treated with surrounding needling and heavy moxibustion at Ashi points. In the comprehensive therapy group, the mind-regulating acupuncture therapy was delivered besides the treatment as the control group. The treatment was given once daily, one course of treatment was composed of 6 days and 2 courses were required in the 2 groups. Before and after treatment, the pain conditions were assessed using pain rating index (PRI), visual analogue scale (VAS) and present pain intensity (PPI), the negative emotions were assessed using Hamilton anxiety scale (HAMA) and Hamilton depression scale (HAMD), and the sleep quality with Pittsburgh sleep quality index (PSQI). One week before and one week after treatment, the average sleep time was recorded. The therapeutic effect of 2 groups was evaluated. The effective cases of 2 groups were followed up in 2 months after treatment completion and the recurrence of neuralgia was recorded. There were no statistical differences in the above indicators between the 2 groups before treatment. After 2 courses of treatment, the scores of PRI, VAS, PPI, HAMA, HAMD and PSQI were reduced when compared with those before treatment in the patients of the 2 groups (P<0.05), and the average sleep time was increased (P<0.05). The scores of PRI, VAS, PPI, HAMA, HAMD and PSQI in the comprehensive therapy group, as well as the average sleep time were all improved when compared with those of the control group (P<0.05). The total effective rate in the comprehensive therapy group (34/35, 97.14%) was higher than that of the control group (27/33, 81.82%, P<0.05) and the recurrence rate was lower (［2/34, 5.88%］vs［8/27, 29.63%］, P<0.05). The combination of mind-regulating acupuncture with surrounding needling and heavy moxibustion at Ashi acupoint can effectively relieve PHN. Compared with the traditional surrounding acupuncture in pain area combined with moxibustion at Ashi points, this comprehensive therapy is more effective for ameliorating pain intensity, improving sleep quality and reducing negative emotions. It is also effective for declining the recurrence.

Non-invasive measurement of spoilage of packed fish using halochromic sensor

Purpose This study aims to develop a pH-functional thin-film sensor for non-invasive measurement of spoilage of packed fish. Design/methodology/approach At first, polymers of natural origin such as hydroxy(propyl)methyl cellulose, potato dextrose agar and starch alongside a pH sensitive-mixed indicator formulation were used to produce thin film sensor. The developed thin film sensor was tested for monitoring the spoilage of seafood stored at 4°C. Using ultraviolet-visible and Fourier-transform infrared spectroscopy, the halochromic sensor was characterised. In addition, the halochromic response of the thin film was directly correlated to the total volatile base nitrogen emitted by the packaged fish, pH, microbial activity and sensory evaluation. Findings The results suggested the developed biopolymer-based thin film sensor showed different colours in line with the spoilage of the packed fish, which could be well correlated with the total volatile base nitrogen, microbial activity and sensory evaluation. In addition, the thin film sensors exhibited a high degree of biodegradability. The biopolymers-based thin film halochromic sensor has exhibited excellent biodegradability along with sensitiveness towards the spoilage of the packed fish. Originality/value In the future, consumers and retailers may prefer seafood containers equipped with such halochromic sensors to determine the degree of food deterioration as a direct indicator of food quality.

Analysing impact of corporate attributes on sustainability disclosures through India’s new BRSR framework

Purpose The purpose of this study is to analyse the impact of corporate attributes like a company’s profitability, size, age, leverage and board size on companies’ sustainability reporting as measured through India’s new business responsibility and sustainability reporting (BRSR) framework. Design/methodology/approach A random sample of 130 companies was taken from the top 1,000 listed companies on the National Stock Exchange. Sequential mixed methods research approach was used to prepare a sustainability quality index. Then, a hierarchical multiple regression analysis was performed to examine the impact on the quality of reporting by Indian companies. Findings Interestingly, the analysis revealed that traditional metrics like age, profitability, board size and leverage did not have significant associations with reporting quality. Rather, the size of a company in terms of market capitalisation was found to have a strong positive impact on sustainability reporting. Research limitations/implications This was a cross-sectional study, as time series data for BRSR reporting is not yet available. Also, only five parameters were taken for analysis. Lastly, subjective judgment in content analysis may be involved. Practical implications This suggests that only larger companies in India are prioritising sustainability reporting over smaller ones. It affirms the legitimacy and stakeholder theory in the Indian context. Originality/value To the best of the authors’ knowledge, this study is one of the first endeavours to assess the efficacy of the new Indian BRSR framework and test its primary objectives. Furthermore, significant implications have been given for managers to catalyse and reinforce the sustainability momentum down the lane across companies of all sizes in India.

Analysis of Strategies in Improving the Quality of Education in the 3T Region

This research uses qualitative literature methods reviews. Literature review is carried out by reading various sources from international and national journals. Result of Literature review found that education in Indonesia Especially in the 3T area, the quality is still low. This research aims to gain a deeper understanding of the quality of education in the 3T region by explaining the theory in more detail regarding: Definition of 3T (Tertinggal, Terdepan dan Terluar) Region, Indicators of the Low Quality of Education in Indonesia, Procedures for Improving the Quality of Education in the 3T Region, and Strategies for Improving the Quality of Education in the 3T Region.

Impact of Meteorological Conditions on PM2.5 Pollution in Changchun and Associated Health Risks Analysis

The escalating concern regarding increasing air pollution and its impact on the health risks associated with PM2.5 in developing countries necessitates attention. Thus, this study utilizes the WRF-CMAQ model to simulate the effects of meteorological conditions on PM2.5 levels in Changchun, a typical city in China, during January 2017 and January 2020. Additionally, it introduces a novel health risk-based air quality index (NHAQI) to assess the influence of meteorological parameters and associated health risks. The findings indicate that in January 2020, the 2-m temperature (T2), 10-m wind speed (WS10), and planetary boundary layer height (PBLH) were lower compared to those in 2017, while air pressure exhibited a slight increase. These meteorological parameters, characterized by reduced wind speed, heightened air pressure, and lower boundary layer height—factors unfavorable for pollutant dispersion—collectively contribute to the accumulation of PM2.5 in the atmosphere. Moreover, the NHAQI proves to be more effective in evaluating health risks compared to the air quality index (AQI). The annual average decrease in NHAQI across six municipal districts from 2017 to 2020 amounts to 18.05%. Notably, the highest health risks are observed during the winter among the four seasons, particularly in densely populated areas. The pollutants contributing the most to the total excess risk (ERtotal) are PM2.5 (45.46%), PM10 (33.30%), and O3 (13.57%) in 2017, and PM2.5 (67.41%), PM10 (22.32%), and O3 (8.41%) in 2020. These results underscore the ongoing necessity for PM2.5 emission control measures while emphasizing the importance of considering meteorological parameters in the development of PM2.5 reduction strategies.

Health and Wellbeing of Regional and Rural Australian Healthcare Workers during the COVID-19 Pandemic: Baseline Cross-Sectional Findings from the Loddon Mallee Healthcare Worker COVID-19 Study—A Prospective Cohort Study

Background: Coronavirus 19 (COVID-19) has created complex pressures and challenges for healthcare systems worldwide; however, little is known about the impacts COVID-19 has had on regional/rural healthcare workers. The Loddon Mallee Healthcare Worker COVID-19 Study (LMHCWCS) cohort was established to explore and describe the immediate and long-term impacts of the COVID-19 pandemic on regional and rural healthcare workers. Methods: Eligible healthcare workers employed within 23 different healthcare organisations located in the Loddon Mallee region of Victoria, Australia, were included. In this cohort study, a total of 1313 participants were recruited from November 2020–May 2021. Symptoms of depression, anxiety, post-traumatic stress, and burnout were measured using the Patient Health Questionnaire-9 (PHQ-9), Generalised Anxiety Disorder-7 (GAD-7), Impact of Events Scale-6 (IES-6), and Copenhagen Burnout Inventory (CBI), respectively. Resilience and optimism were measured using the Brief Resilience Scale and Life Orientation Test—Revised (LOT-R), respectively. Subjective fear of COVID-19 was measured using the Fear of COVID-19 Scale. Results: These cross-sectional baseline findings demonstrate that regional/rural healthcare workers were experiencing moderate/severe depressive symptoms (n = 211, 16.1%), moderate to severe anxiety symptoms (n = 193, 14.7%), and high personal or patient/client burnout with median total scores of 46.4 (IQR = 28.6) and 25.0 (IQR = 29.2), respectively. There was a moderate degree of COVID-19-related fear. However, most participants demonstrated a normal/high degree of resilience (n = 854, 65.0%). Based on self-reporting, 15.4% had a BMI from 18.5 to 24.9 kgm2 and 37.0% have a BMI of 25 kgm2 or over. Overall, 7.3% of participants reported they were current smokers and 20.6% reported alcohol consumption that is considered moderate/high-risk drinking. Only 21.2% of the sample reported consuming four or more serves of vegetables daily and 37.8% reported consuming two or more serves of fruit daily. There were 48.0% the sample who reported having poor sleep quality measured using the Pittsburgh Sleep Quality Index (PSQI). Conclusion: Regional/rural healthcare workers in Victoria, Australia, were experiencing a moderate to high degree of psychological distress during the early stages of the pandemic. However, most participants demonstrated a normal/high degree of resilience. Findings will be used to inform policy options to support healthcare workers in responding to future pandemics.

Predictive modeling of water quality index (WQI) classes in Indian rivers: Insights from the application of multiple Machine Learning (ML) models on a decennial dataset

Predictive modeling of water quality index (WQI) classes in Indian rivers: Insights from the application of multiple Machine Learning (ML) models on a decennial dataset

Physical Activity and Quality of Sleep Among Patient with Chronic Kidney Disease on Hemodialysis: A Cross-Sectional Study

Background: Chronic kidney disease (CKD) patients on hemodialysis face issues like poor quality of sleep and reduced physical activity, which can impair their quality of life. This study aimed to assess the physical activity and quality of sleep among CKD patients on hemodialysis. Materials and Methods: This cross-sectional study was conducted at All India Institute of Medical Sciences (AIIMS), Jodhpur. Data from 66 participants selected consecutively using self-reported standardized tools, namely, Global Physical Activity Questionnaire (GPAQ) and Pittsburgh Sleep Quality Index (PSQI), were collected, along with sociodemographic variables. After receiving written informed consent, questionnaires were administered through face-to-face interviews. Results: The majority of the individuals, 45 (68.2%), were found to be physically active with a mean score of 2280.8 metabolic equivalents (MET)-min/week. The average PSQI score was 9.24 ± 4, and 49 (74.2%) participants had a PSQI score as higher than 5, suggesting poor quality of sleep. Physical activity and quality of sleep were found to have a significant relationship (P = 0.03). Physical activity was found to have a significant relationship with age (P = 0.01), whereas quality of sleep was associated with smoking status (P = 0.04), alcohol consumption (P &lt; 0.01), and body mass index (BMI; P = 0.03). Conclusion: Contrary to many studies where CKD patients on hemodialysis were found to be physically inactive, the present study showed a substantial portion of them to be physically active. Poor quality of sleep was common; hence, interventions to promote sleep quality recommended.

Investigation of Water Pollution in the Baghlan River Caused by Dust and Wastewater from the Ghori Cement Factory: A Case Study

Rivers are one of the most crucial fluid ecosystems, primarily due to their freshwater content. Understanding the trends in water quality changes in seas enables the anticipation of future challenges and the implementation of plans to address them. Water quality management necessitates the collection and analysis of a vast amount of data and water quality parameters. To facilitate this, various tools have been developed for simpler assessment of data and water quality, among which water quality indices are highly utilized. The objective of this study is to assess the water quality of the Balkh Sea using the (IRWQISC) and (IRWQIST) indices, alongside examining the levels of heavy metals, cations, anions, and its physical characteristics. Sampling was conducted at two time points: initially in October 2022, with heavy metal analysis performed using Flame Atomic Absorption Spectroscopy (FAAS), and subsequently in April 2023, where samples were collected from various points, and the concentrations of cations, anions, pH, and electrical conductivity (EC) were measured. Data analysis was carried out using SPSS version 26, and ArcGIS 10.4.1 was employed for map production. The research findings indicate a trend of heavy metal changes as follows: Al&gt;As&gt;Pb&gt;Cd&gt;(Cr=Co=Ni)&gt;Hg. Based on the calculation of the toxicity index (IRWQIST), the studied water falls into the poor category. Consequently, sea water, due to the presence of heavy metals such as lead, cadmium, arsenic, and mercury, is relatively to very toxic and unsuitable for drinking. Additionally, it may cause detrimental effects for other uses such as agriculture and livestock farming.

Sleep quality during pregnancy and fetal growth: A prospective cohort study.

The aim of this study is to investigate the association between sleep quality during pregnancy and fetal growth. Pregnant women and their fetuses at 16-20 gestational weeks in Nantong Maternal and Child Health Hospital were recruited. Women were classified as having "good sleep quality" (Pittsburgh Sleep Quality Index score ≤ 5) and "poor sleep quality" (Pittsburgh Sleep Quality Index score > 5) according to the Pittsburgh Sleep Quality Index scores. The fetal growth was evaluated by three ultrasonographic examinations, birth weight and birth length. We used general linear model and multiple linear regression models to estimate the associations. A total of 386 pairs of mother and infant were included in the data analysis. After adjusting for gestational weight gain, anxiety and depression, fetuses in the good sleep quality group had greater abdominal circumference (p = 0.039 for 28-31+6 weeks gestation, p = 0.012 for 37-40+6 weeks gestation) and femur length (p = 0.014 for 28-31+6 weeks gestation, p = 0.041for 37-40+6 weeks gestation) at 28-31+6 weeks gestation and 37-40+6 weeks gestation, and increased femur length (p = 0.007) at 28-31+6 weeks gestation. Birth weights (p = 0.018) were positively associated with sleep quality. Poor sleep quality was associated with poor intrauterine physical development, decreased abdominal circumference and femur length, and lower birth weight after adjusting for confounding factors. Attention to the fetal growth of pregnant women with poor sleep quality has the potential to decrease the risk of adverse fetal outcomes.

DENTAL CARIES IN CHILDREN OF POLTAVA BEFORE AND DURING THE FIRST YEAR OF WAR (retrospective analysis over 20 years)

Due to the military conflict and the COVID-19 pandemic, Ukraine and the city of Poltava are facing challenges in medical services, including dentistry. Analyzing the dynamics of caries treatment in children in Poltava before and during the war is crucial for assessing the impact of wartime on the municipal dental care system. The aim of this study is to analyze the dynamics of caries treatment in children based on annual reports from the Municipal Pediatric Clinical Dental Polyclinic before and during the wartime. A retrospective analysis of the statistical reporting of the Municipal Pediatric Clinical Dental Polyclinic for the years 2002, 2012, and 2018-2022 was conducted. During the analysis, annual indicators of the Polyclinic were studied, including the total number of visits, number of primary visits, number of treated teeth due to caries and its complications in temporary and permanent teeth. Calculations included the average number of visits per person, the proportion of complicated caries in temporary and permanent teeth, and the quality indicator of complicated caries treatment. The study revealed a 51.43% decrease in clinic visits over the last 20 years. In 2022, there was a sharp increase in primary visits to 24,655, possibly due to internally displaced children. The number of filled permanent teeth increased by 25% in 2022 compared to 2021. The proportion of complicated caries in temporary teeth significantly rose from 0.23 to 0.84 from 2002 to 2022. Additionally, there was a 25% increase in the absolute values of the quality indicator of complicated caries treatment in temporary teeth from 2002 to 2012 and a 12% increase up to 2022, indicating a rise in the number of cases of treating complicated caries in temporary teeth by extraction. These findings highlight the need for further research on the war's impact on the prevalence of caries and its complications in the pediatric population. This research is crucial for developing effective strategies for the prevention and treatment of dental diseases.

Robust kernel extreme learning machines with weighted mean of vectors and variational mode decomposition for forecasting total dissolved solids

A stable and accurate forecast of water quality parameters is crucial for planning and managing future investment programs. A well-known water quality indicator is the total dissolved solids (TDS), which measures the number of metals, minerals, and salts dissolved in a particular volume of water. This paper introduces an innovative approach, which combines the kernel extreme learning machine (KELM) with the robust weight mean of vectors (INFO) algorithm. The proposed technique stands out for its strategic integration of Boruta-XGBoost (B-XGB) as an exceptional feature selection method, along with variational mode decomposition (VMD) to decompose the input variables and enhance the accuracy of forecasting. The integrated model is termed V-KELM-INFO. INFO is an essential component that incorporates a complex exploration process. It utilizes a weighted mean of vectors, a vector combining operator to enhance population variety, and a localized search operator to expedite convergence. INFO, a potent tool, is included in the V-KELM training stage. It efficiently extracts optimum parameters and dramatically improves the accuracy of monthly TDS predictions at the Idenak station in southwest Iran. Also, the multi-criteria decision-making (MCDM) approach of weighted aggregated sum product assessment (WASPAS) is used to rank models. The V-KELM-INFO model was chosen based on the WASPAS results and statistical metrics (R = 0.962, RMSE = 57.84, WHD = 7.01, and U95 = 160.74) as the best model to forecast the TDS. In addition, the superiority of the proposed model was assessed against the metaheuristic-based V-KELM models, comprising the V-KELM grey wolf optimizer (V-KELM-GWO), V-KELM slime mold algorithm (V-KELM-SMA), and V-KELM equilibrium optimizer (V-KELM-EO). This work provided insight into improving the accuracy of modeling-based methodologies and spurred water quality modeling technology to develop sustainable and clean practices.

Long-term impact of wildfire on soil physical, chemical and biological properties within a pine forest

AbstractAnthropogenic fires pose a serious threat to many terrestrial ecosystems because they can cause loss of biodiversity and carbon stocks in the biosphere. Specifically, wildfires impacting natural conservation areas such as European Natura 2000 sites (N2K) are of particular concern. The main study objective was to evaluate the long-term effects of wildfires on the organic layer and some physical, chemical and biological properties of the underlying soil mineral layer, linked to soil quality. Here, we studied two coastal Mediterranean Aleppo pine stands within an N2K site differing for the fires’ years of occurrence, the time between fires (TBF) and the time since last fire (TSLF) throughout 24 years. Furthermore, in each stand, differences in fire frequency (FF) were considered by selecting three sites—double-fire, single-fire and control (unburnt). Our results show the absence of the O-layer in double-fire sites, indicating a loss of this organic carbon (if compared to control) pool of 204 g m−2 in R2F and 139 g m−2 in M2F. Despite this loss being offset by the Corg increase in soil mineral layer, the disappearance of O-layer may compromise the ecosystem services provided by soil. In each stand, long-term fire effects were evident at both single-fire and double-fire sites for some chemical as well as biological soil properties and depended on TSLF. Increased rates of nitrogen mineralization and nitrification were found at all burned sites, persisting up to 24 years post-fire. Soil quality indicators data highlighted the recovery handicap of the microbial community within the considered period. Since our outcomes showed wildfires enduring consequences, mainly relating to TSLF and FF, on different organic and mineral soil properties, we advocate employing prompt strategies to mitigate recurring fires.

Collaborative Impact of Inorganic and Organic Fertilizers Coupled with Kappaphycus alvarezii Bio-stimulant on the Quality Characteristics of Wheat (Triticum aestivum L.)

The study investigates the influence of different factors on the nutritional content of wheat grains, focusing on crude protein, nitrogen, phosphorus, and potassium contents in grain. Results indicate that varying combinations of factors such as NPK fertilization, farmyard manure (FYM) application, and bio-stimulant usage significantly affect nutrient concentrations in grain. Crude protein content, a vital indicator of grain quality, showed variability across the different treatments, with the highest levels observed in plots receiving RDF @100% + FYM@16.5 t ha-1 + SWBS@1250 ml ha-1. The crude protein content primarily relies on the nitrogen levels. In the research, the findings indicated that the nitrogen content was significant, which, in turn, led to a significant crude protein content. The levels of nitrogen, phosphorus, and potassium content also exhibited fluctuations, with significant interactions observed among various factors. These fluctuations are attributed to differences in nutrient uptake and utilization during the different growth stages of the wheat plant. All three factors can enhance the nutrient uptake facilities through soil as well as plant body, therefore, notably, interactions between NPK, FYM, and bio-stimulants exhibited significant effects on nutrient content, particularly at the 0.05 significance level. The findings underscore the importance of holistic agricultural management in enhancing the nutritional value of wheat grains, with implications for food security and agricultural sustainability.

Productive Performance, Hatching Egg Quality and Health Indices of Hisex Brown Laying Hens Fed Extruded Grain Amaranth

Productive Performance, Hatching Egg Quality and Health Indices of Hisex Brown Laying Hens Fed Extruded Grain Amaranth

Clinical effects of nonconvulsive electrotherapy combined with mindfulness-based stress reduction and changes of serum inflammatory factors in depression

BACKGROUND Depression is a common and serious psychological condition, which seriously affects individual well-being and functional ability. Traditional treatment methods include drug therapy and psychological counseling; however, these methods have different degrees of side effects and limitations. In recent years, nonconvulsive electrotherapy (NET) has attracted increasing attention as a noninvasive treatment method. However, the clinical efficacy and potential mechanism of NET on depression are still unclear. We hypothesized that NET has a positive clinical effect in the treatment of depression, and may have a regulatory effect on serum inflammatory factors during treatment. AIM To assess the effects of NET on depression and analyze changes in serum inflammatory factors. METHODS This retrospective study enrolled 140 patients undergoing treatment for depression between May 2017 and June 2022, the observation group that received a combination of mindfulness-based stress reduction (MBSR) and NET treatment (n = 70) and the control group that only received MBSR therapy (n = 70). The clinical effectiveness of the treatment was evaluated by assessing various factors, including the Hamilton Depression Scale (HAMD)-17, self-rating idea of suicide scale (SSIOS), Pittsburgh Sleep Quality Index (PSQI), and levels of serum inflammatory factors before and after 8 wk of treatment. The quality of life scores between the two groups were compared. Comparisons were made using t and χ2 tests. RESULTS After 8 wk of treatment, the observation group exhibited a 91.43% overall effectiveness rate which was higher than that of the control group which was 74.29% (64 vs 52, χ2 = 7.241; P &lt; 0.05). The HAMD, SSIOS, and PSQI scores showed a significant decrease in both groups. Moreover, the observation group had lower scores than the control group (10.37 ± 2.04 vs 14.02 ± 2.16, t = 10.280; 1.67 ±0.28 vs 0.87 ± 0.12, t = 21.970; 5.29 ± 1.33 vs 7.94 ± 1.35, t = 11.700; P both &lt; 0.001). Additionally, there was a notable decrease in the IL-2, IL-1β, and IL-6 in both groups after treatment. Furthermore, the observation group exhibited superior serum inflammatory factors compared to the control group (70.12 ± 10.32 vs 102.24 ± 20.21, t = 11.840; 19.35 ± 2.46 vs 22.27 ± 2.13, t = 7.508; 32.25 ± 4.6 vs 39.42 ± 4.23, t = 9.565; P both &lt; 0.001). Moreover, the observation group exhibited significantly improved quality of life scores compared to the control group (Social function: 19.25 ± 2.76 vs 16.23 ± 2.34; Emotions: 18.54 ± 2.83 vs 12.28 ± 2.16; Environment: 18.49 ± 2.48 vs 16.56 ± 3.44; Physical health: 19.53 ± 2.39 vs 16.62 ± 3.46; P both &lt; 0.001) after treatment. CONCLUSION MBSR combined with NET effectively alleviates depression, lowers inflammation (IL-2, IL-1β, and IL-6), reduces suicidal thoughts, enhances sleep, and improves the quality of life of individuals with depression.

The Effect of 14-Day Consumption of Hydrogen-Rich Water Alleviates Fatigue but Does Not Ameliorate Dyspnea in Long-COVID Patients: A Pilot, Single-Blind, and Randomized, Controlled Trial

(1) Background: Hydrogen (H2) may be a potential therapeutic agent for managing Long COVID symptoms due to its antioxidant and anti-inflammatory properties. However, more scientific literature is needed to describe the effects of H2 administration on treating symptoms. A study aimed to investigate the impact of hydrogen-rich water (HRW) administration on the fatigue and dyspnea of Long-COVID patients for 14 consecutive days. (2) Methods: In this randomized, single-blind, placebo-controlled study, 55 participants were recruited, and 23 of them were excluded. A total of 32 eligible participants were randomized into a hydrogen-rich water (HRW) group (n = 16) and a placebo water (PW) group (n = 16) in which they were instructed to consume hydrogen-rich water or placebo water for 14 days, respectively. The participants completed the Fatigue Severity Scale (FSS), Six-Minute Walk Test (6MWT), 30 s Chair Stand Test (30s-CST), Modified Medical Research Council Dyspnea Rating Scale (mMRC), Pittsburgh Sleep Quality Index (PSQI), and depression anxiety stress scale (DASS-21) before and after the intervention. A linear mixed-effects model was used to analyze the effects of HRW. Cohen’s d values were used to assess the effect size when significance was observed. The mean change with 95% confidence intervals (95% CI) was also reported. (3) Results: The effects of HRW on lowering FSS scores (p = 0.046, [95% CI = −20.607, −0.198, d = 0.696] and improving total distance in the 6WMT (p &lt; 0.001, [95% CI = 41.972, 61.891], d = 1.010), total time for the 30s-CST (p = 0.002, [95% CI = 1.570, 6.314], d = 1.190), and PSQI scores (p = 0.012, [95% CI = −5.169, 0.742], d = 1.274) compared to PW were of a significantly moderate effect size, while there was no significant difference in mMRC score (p = 0.556) or DASS-21 score (p &gt; 0.143). (4) Conclusions: This study demonstrates that HRW might be an effective strategy for alleviating fatigue and improving cardiorespiratory endurance, musculoskeletal function, and sleep quality. Still, it does not ameliorate dyspnea among Long-COVID patients.

Seed Characteristics and Seedling Quality of Selected Teak Clones in Eastern India

Teak (Tectona grandis L.f.) is one of the important timbers of the world and is honoured as the ‘King’ of Indian timbers. It is grown in large scale by people in farm forestry and agroforestry programme and also by various agencies. To understand the characteristics of seeds and the quality of seedlings raised from seeds of selected teak clones, an investigation was carried out. Fruits were collected from 25 clones of teak grown at Silviculture Research Station, Koshala, Angul, Odisha (India) and tested at College of Forestry, Odisha University of Agriculture &amp; Technology, Bhubaneswar (India). Experiments were carried out under Completely Randomized Design with 3 replications. Significant variation in fruit characteristics such as fruit length, fruit width, 100 fruit weight, number of seeds per fruit, fruit viability and germination percent was observed. Fruit length varied from 1.08 to 1.57cm and ORANP-4 produced longest fruit while MHALA-7 had minimum value. Fruit width differed from 1.20 to 2.58cm and the highest width was recorded in ORAN-1 (1.58 cm) and lowest in MHALA- 7. Weight of 100 fruits ranged from 34.28 to 56.64g and ORAN-1 recorded maximum fruit weight which was at par with MHALP-9 (54.23 g) while ORPUB -13 registered the minimum value which statistically similar to MHALA-7. Number of seeds per fruit varied from 3.10 to 4.00. Fruit viability varied from 47.56 to 70.38% and ORAN-4 excelled in viability and remained statistically at par with ORPUB-23, MHALA-9 and ORANR-6. Germination percent of fruit varied from 30.5 to 49.50% and ORANP-4 recorded maximum germination percent, but it was statistically similar to MHALA-9 and ORANR-6. The growth and quality of seedlings raised from the open pollinated seeds of clones also exhibited significant difference. MHALA-9 excelled over others with regard to collar diameter, height, number of leaves, shoot weight, root weight and quality of seedling in 15 month of assessment in nursery. It recorded seedling quality index of 16.41 at the age of 15 month.

Effects of strengthening prospective nursing practice on sleep quality, anxiety, and depression of awake patients in intensive care unit

BACKGROUND The intensive care unit (ICU) is a specialized hospital department. Awake patients in the ICU frequently encounter adverse psychological states, such as anxiety and fear, often accompanied by poor sleep quality. This situation has garnered significant attention within the medical community. AIM To investigate the impact of prospective nursing intervention strategies on the sleep quality and negative emotional state of conscious ICU patients. METHODS One hundred and twenty ICU awake patients admitted to our hospital were selected and randomly divided into control (n = 60) and observation (n = 60) groups. Patients in the control group were cared for using the conventional nursing model, while patients in the observation group were cared for using the prospective nursing model. Sleep improvement was assessed using the International Standardized Sleep Efficiency Formula and Pittsburgh Sleep Quality Index (PSQI). The PSQI, Generalized Anxiety Disorder 7-item (GAD-7) scale, Self-Depression Scale (SDS), and satisfaction before and after treatment were used to assess the negative emotional states of patients under the two care models. RESULTS Patient satisfaction in the observation group was significantly higher than in the control group. The GAD-7 and SDS scores in the observation group were significantly lower than those in the control group, and the total effective rate of sleep improvement in the observation group was significantly higher than in the control group. After treatment, the PSQI scores of the two groups significantly decreased (P &lt; 0.05). The decrease in the observation group was more significant than that in the control group, and the difference between the two groups was statistically significant. CONCLUSION Prospective nursing interventions can improve sleep quality and psychological levels and significantly affect conscious patients in the ICU, which is worthy of clinical application.

Evaluation of dry eye disease symptomatology and mental health status among patients with different COVID-19 statuses.

To evaluate dry eye disease (DED) symptomatology and mental health status in different COVID-19 patients. A cross-sectional observational design was used. Totally 123 eligible adults (46.34% of men, age range, 18-59y) with COVID-19 included in the study from August to November, 2022. Ocular Surface Disease Index (OSDI), Five-item Dry Eye Questionnaire (DEQ-5), Hospital Anxiety and Depression Scale (HADS), and Pittsburgh Sleep Quality Index (PSQI) were used in this study. OSDI scores were 6.82 (1.25, 15.91) in asymptomatic carriers, 7.35 (2.50, 18.38) in mild cases, and 16.67 (4.43, 28.04) in recurrent cases, with 30.00%, 35.56%, and 57.89%, respectively evaluated as having DED symptoms (χ2=7.049, P=0.029). DEQ-5 score varied from 2.00 (0, 6.00) in asymptomatic carriers, 3.00 (0, 8.00) in mild cases, and 8.00 (5.00, 10.00) in recurrent cases, with 27.50%, 33.33%, and 55.26%, respectively assessed as having DED symptoms (χ2=8.532, P=0.014). The prevalence of clinical anxiety (50.00%) and depression (47.37%) symptoms were also significantly higher in patients with recurrent infection (χ2=24.541, P<0.001; χ2=30.871, P<0.001). Recurrent infection was a risk factor for high OSDI scores [odds ratio, 2.562; 95% confidence interval (CI), 1.631-7.979; P=0.033] and DEQ-5 scores (odds ratio, 3.353; 95%CI, 1.038-8.834; P=0.043), whereas having a fixed occupation was a protective factor for OSDI scores (odds ratio, 0.088; 95%CI, 0.022-0.360; P=0.001) and DEQ-5 scores (odds ratio, 0.126; 95%CI, 0.039-0.405; P=0.001). Patients with recurrent COVID-19 have more severe symptoms of DED, anxiety, and depression.