Analysis Of Variance Research Articles

"You Are Not Wrong About Getting Strong:" An Insight Into the Impact of Age Group and Level of Competition on Strength in Spanish Football Players.

This study aimed to compare the maximum and rapid force production of Spanish football players and explore the differences between age group and level of competition. A cross-sectional study was developed to evaluate the peak force (PF), relative PF, and rate of force development over 250ms (RFD0-250) during the isometric midthigh pull between groups of football players based on age group (senior vs junior) and level of competition (national vs regional). Using a portable isometric rig, 111 football players performed 2 isometric midthigh-pull trials on a force plate. Two-way analysis of variance with Bonferroni post hoc correction was applied, and statistical significance was set at P ≤ .05. The PF, relative PF, and RFD0-250 0, 25, 50, 75, and 100 percentiles were also calculated and descriptively reported, separated by age group and level of competition. The analysis of variance revealed a significant main effect of the level of competition for the PF (P < .001), relative PF (P = .003), and RFD0-250 (P < .001). There was a significant main effect of age group for the PF (P < .001). There was a significant interaction effect of the age group × level of competition for relative PF (P = .014). National players were stronger than regional players on the PF and RFD0-250 (P < .001). Senior players were stronger than junior players for the PF (P < .001). Maximum and rapid force production are crucial for Spanish football players as they progress in both level of competition and age group. Practitioners should encourage young football players to prioritize strength development to improve their athletic performance.

Vulnerability to semantic and phonological interference in normal aging and amnestic mild cognitive impairment (aMCI).

To determine whether the increased vulnerability to semantic interference previously observed in amnestic mild cognitive impairment (aMCI) is specifically associated with semantic material or if it also affects other types of material, suggesting generalized executive and inhibitory impairment. Seventy-two participants divided into two groups (33 aMCI, 39 normal control [NC]) matched for age and education were included. They completed a comprehensive neuropsychological examination, the French version of the Loewenstein Acevedo Scale for Semantic Interference and Learning (LASSI-L; semantic interference test), and a homologous experimental phonological test, the phonological interference and learning test. Independent sample t tests, mixed analysis of variance (ANOVA), and analysis of covariance (ANCOVA) on memory and interference scores were conducted to compare memory and interference in both conditions for both groups. For memory scores, results revealed significant main effects of group (NC > aMCI) and condition (semantic > phonological) and significant interactions (poorer performance in the semantic condition for aMCI). aMCI committed more phonological false recognition errors, were disproportionately more vulnerable to retroactive semantic interference, and showed a higher percentage of intrusion errors associated with proactive semantic interference than NC. To our knowledge, this is the first study to compare vulnerability to interference in aMCI and normal aging with two similarly designed semantic and phonological word list learning tasks. Taken together, our results suggest that aMCI present with broad difficulties in source memory and inhibition, but that impaired deep semantic processing results in additional semantic intrusion errors during proactive interference and impacts their ability to show good recall after an interference list (greater semantic retroactive interference). Results are discussed according to the level-of-processing and activation/monitoring theories. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Removal of Copper and Zinc Metal Ions from Industrial Effluents in Continuous Mode using Modified Date Pits

Removal of Copper and Zinc Metal Ions from Industrial Effluents in Continuous Mode using Modified Date Pits

Inovasi Grafting Mangga Dodol (Mangifera indica L.) Berdasarkan Tipe Mata Tunas dan Panjang Entres

The research was conducted to determine the effect of selecting the type of entres length and bud eyes in grafting dodol mango (Mangifera indica L) on the process of bud initiation, bud height, and leaf width. The experimental design used was Randomized Complete Block Design with factorial pattern. The first treatment is the type of entres length, namely 7 cm (P1), 10 cm (P2) and 13 cm (P3) while the second treatment is the type of bud eye of the entres, namely without bud eye (M1), 1 bud eye (M2) and 2 bud eyes (M3). Based on the type of bud eye, treatments P2 and P3 showed a better effect than P1 on the bud initiation process and leaf width parameters. While in the measurement of bud height, P3 treatment showed a better effect than P2 and P1. Meanwhile, in terms of the type of buds, treatments M2 and M3 had a better effect than M1 on the process of bud initiation, bud height and leaf width. The results of the analysis of variance showed that there was an interaction between the type of length and the type of bud eye on all three parameters.

Impediments to building information modelling-enabled construction waste management in Nigeria

PurposeBuilding Information modelling (BIM) has the potential to significantly minimise the quantity of construction waste (CW), but its adoption is low in construction waste management (CWM). This study examined the factors impeding the adoption of BIM in CWM efforts at the design and precontract stages from the perspective of construction stakeholders in Nigeria.Design/methodology/approachThe study was informed by a post-positivism philosophical stance, which involved using the structured questionnaire as a quantitative research design tool for data collection via snowball sampling technique. The data garnered from construction experts were analysed using Cronbach’s alpha test, normalities test, Frequency, Percentage, Kendall’s coefficient of concordance and Chi-square tests, Analysis of variance (ANOVA), and exploratory factors analysis (EFA).FindingsThe study concluded that the awareness of BIM potential for CWM is high, but the adoption in waste management (WM) is low. The factor analysis reduced the twenty assessed factors into four key clusters of impediments to BIM adoption in CWM: (1) knowledge and resistance barriers, (2) support and interest barriers, (3) interoperability and experts' factors, and (4) economic barriers. These factors are critical impediments to BIM-enabled CWM at the design and precontract stage, and there was no significant statistical difference in their rating by the construction stakeholders in Nigeria.Originality/valueStudies on the impediments to BIM adoption in CWM efforts, primarily at the design and pre-contract stages in emerging countries are scarce. This sought to fill this literature gap by establishing the critical impediments that should be overcome to improve BIM use in CWM.

An experimental study to assess the effectiveness of video-assisted childbirth education programme on knowledge regarding childbirth among primigravida mothers attending antenatal out patient department of a selected hospital in Bhopal

ABSTRACT Context: Childbirth is a normal physiological process in a woman’s life, yet it is a life-changing experience for the primigravida mothers. Boosting confidence regarding pregnancy and childbirth by enhancing knowledge is an important component of care. Aims: The aim was to assess the effectiveness of the video-assisted childbirth education programme on the knowledge of the primigravida mothers regarding childbirth. Settings and Design: A quantitative research approach with a quasi-experimental non-equivalent control group design was adopted. Non-probability convenient sampling technique was used to select the 60 primigravida mothers who completed 34 weeks of gestation and are attending the Gynaec Outpatient Department (OPD) of a tertiary care hospital in Bhopal. Methods and Material: The self-structured knowledge questionnaire was developed. On the first day of contact with the sample, pretest was taken from both groups. A tailor-made video was administered to the experimental group on the same day. Posttest was taken on the seventh day from both groups. Statistical Analysis Used: Repeated measures analysis of variance (ANOVA) used to determine the effectiveness of video-assisted childbirth education programme revealed a significant interaction between the intervention and time, F (1,58) =29.398, P &lt; .001. Results: The mean difference in knowledge score over time was greater in the experimental group compared to the control group and the difference was statistically significant. Conclusions: The video-assisted childbirth education programme was effective in enhancing the knowledge of primigravida mothers regarding childbirth.

Potentially toxic metals in road dust: An assessment of ecological and health risks at Woldia and Kobo towns in North Wollo, Ethiopia

ABSTRACT The accumulation of heavy metals (HMs) in the environment threatens the ecosystem and human well-being. This study investigated the amounts of Mn, Fe, Ni, Co, Cu, Zn, Cd, Hg, Pb, As, and Cr, as well as the associated health and ecological risks. Thirty samples of roadside dust were collected in the northern Ethiopian towns of Woldia and Kobo. The collected samples were digested using acid digestion method and the levels of heavy metals were analysed using inductively coupled plasma optical emission spectroscopy. The results showed that the average concentrations of HMs were 0.103 (As)-7.6 (Cd) and 0.083 (Cd)-3.80 (Fe) mg/kg in Woldia and Kobo, respectively. All the HM concentrations investigated in this study were lower than the average global concentration, except for Hg in both towns and Cd in Woldia town. Analysis of variance (ANOVA) for the heavy metal concentration showed a significant difference across each sampling site, while Ni and Hg did not show a significant difference. The hazard quotient (HQ) and hazard index (HI) values of all HMs for adults and children through the three exposure routes were lower than 1, which means that they had a low likelihood of noncarcinogenic risks. The pollution index, geoaccumulation index, ecological risk index, integrated pollution index and risk index parameters were used to estimate the ecological risk. The results demonstrated that the pollution level mainly varied between low and moderate levels, except in Woldia, which is highly polluted by Cd metal that further detailed research is highly recommended to find out the sources of this metal.

Anisotropic Icephobic Mechanisms of Textured Surface: Barrier or Accelerator?

Icing has been seen as an economic and safety hazard due to its threats to aviation, power generation, offshore platforms, etc., where passive icephobic surfaces with a surface texturing design have the potential to address this problem. However, the intrinsic icephobic principles associated with the surface textures, energy, elasticity, and hybrid effects are still unclear. To explore the anisotropic wettability, ice nucleation, and ice detaching behaviors, a series of textured poly(dimethylsiloxane) (PDMS)-based coatings with various texture orientations were proposed through a simple stamping method with surface functionalization. The anisotropic hydrophobic/icephobic phenomena and mechanisms were discovered from wettability evaluation, experimentally studied by icing/deicing experiments, and finally verified by microscopic numerical simulations. One-way analysis of variance (one-way ANOVA analysis) was used to analyze the effect of surface textures on hydrophobic/icephobic properties, which assisted in understanding anisotropic phenomena. Typical anisotropic ice nucleation and growth on the textured coatings were clarified using in situ environmental scanning electron microscope (ESEM) characterization. The ice/coating interfacial stress responses were studied by numerical stimulation at the microscopic level, further verifying the localized, amplified, and propagated stress at the ice/coating interface. The theoretical anisotropic responses, barrier effect, and accelerating effect were verified to interpret the anisotropic wettability and icephobicity, depending on the specific surface conditions. This study revealed the basics of the anisotropic icephobic mechanisms of textured icephobic surfaces, further facilitating the R&D of passive icephobic surfaces.

Optimizing Milling Parameters for Enhanced Machinability of 3D-Printed Materials: An Analysis of PLA, PETG, and Carbon-Fiber-Reinforced PETG

Fused deposition modeling (FDM) is widely applied in various fields due to its affordability and ease of use. However, it faces challenges such as achieving high surface quality, precise dimensional tolerance, and overcoming anisotropic mechanical properties. This review analyzes and compares the machinability of 3D-printed PLA, PETG, and carbon-fiber-reinforced PETG, focusing on surface roughness and burr formation. A Design of Experiments (DoE) with a full-factorial design was used, considering three factors: rotation speed, feed rate, and depth of cut. Each factor had different levels: rotational speed at 3000, 5500, and 8000 rpm; feed rate at 400, 600, and 800 mm/min; and depth of cut at 0.2, 0.4, 0.6, and 0.8 mm. Machinability was evaluated by roughness and burr height using a profilometer for all the materials under the same milling conditions. To evaluate the statistical significance of the influence of various processing parameters on surface roughness and burr formation in 3D-printed components made of three different materials—PLA, PETG, and carbon-fiber-reinforced PETG—an analysis of variance (ANOVA) test was conducted. This analysis investigated whether variations in rotational speed, feed rate, and depth of cut resulted in measurable and significant differences in machinability results. Results showed that milling parameters significantly affect roughness and burr formation, with optimal conditions for minimizing any misalignment highlighting the trade-offs in parameter selection. These results provide insights into the post-processing of FDM-printed materials with milling, indicating the need for a balanced approach to parameter selection based on application-specific requirements.

Effect of Nitrogen and Phosphorus on Soil Enzyme Activities and Organic Carbon Stability in Qinghai–Tibet Plateau

Alpine grassland ecosystems are the most important ecosystem type, exhibiting a high sensitivity to anthropogenic nitrogen (N) and phosphorus (P) inputs into terrestrial ecosystems and significantly affecting the carbon (C) cycle within these ecosystems. However, the effects of N and P additions on soil C stability and the processes of organic C transformation remain unclear. This study measured the soil enzyme activities and oxidizable C fractions over a 9-year period following N and P additions to an alpine meadow in the Qinghai–Tibet Plateau. It included four treatments: control (CK), N addition, P addition, and combined N and P addition (NP), utilizing statistical methods such as analysis of variance (ANOVA), correlation analysis, and redundancy analysis. The findings indicated that NP addition significantly increased the non-labile soil oxidizable C fraction in the topsoil layer. Redundancy and correlation analyses revealed strong associations between the vegetation characteristics, C-cycling enzyme activities, soil-oxidized C fractions, and SOC stability index. These results underscore the role of NP addition in enhancing SOC accumulation and stability in grassland ecosystems, with the soil vegetation properties and C source enzyme activities serving as key regulators of the SOC stability. This study offers valuable insights into predicting the SOC dynamics amid rising N and P availability, thereby elucidating the effect of nutrient addition on soil C-cycling mechanisms.

FORECASTING SHORT-TIME LOAD DEMAND BY NON-LINEAR AUTOREGRESSIVE WITH EXTERNAL INPUTS

Accurate estimation of the load demand in each period could be a useful approach to implement necessary policies for better management in the load supply-consumption chain. Hourly load demand is a function of external parameters (such as calendar data) and internal parameters (load demand). Nonlinear Autoregressive with External Inputs (NARX) was selected because of the ability to use external and internal inputs. The model was trained and evaluated using the hourly load demand data for Shahrekord city in a four-year period. The novelties of this study include (i) identifying essential factors that have a significant effect on load demand and (ii) Reduce model inputs (parsimonious model). By analysis of variance (ANOVA), external factors were selected to increase the accuracy of the model in addition to simplicity. External inputs of the developed model included calendar and holiday data. Unlike other existing models, the number of inputs were reduced but the days classification was increased from two groups (working day and holiday) to three groups (working day, semi-holiday and holiday). These changes caused, in addition to increasing the accuracy of the model, the number of inputs to be reduced. The mean absolute percentage error average (MAPE) is 0.983%, which shows higher accuracy than similar models.

Response Optimisation and Modelling of Experimental Data on the Performance of &lt;i&gt;Lasienthera africanum&lt;/i&gt; Leaves Extract as a Corrosion Inhibitor on Mild Steel in Hydrochloric-Induced Environment

In this study, the CCD response surface methodology was used to model and optimise the performance of Lasienthera africanum leaves extract (LALE) as a corrosion inhibitor on mild steel. The experimental parameters were assessed at different immersion time and inhibitor concentration to determine the optimum conditions for corrosion mitigation. Using experimental results of the corrosion characteristics such as the weight loss, corrosion rate, and inhibition efficiency of LALE, new models were developed, the significance of which was tested using variance analysis. The developed RSM models of WL, CR, and IE were accurate and reliable, and their P-values were 0.0001, which is less than 0.05. Likewise, the R2-statistics (R2, adjusted-R2, and predicted-R2), adequate precision, and diagnostic plots were also used as a means to ascertain the degree of accuracy and adequacy of the WL, CR, and IE models. In addition, optimization of the corrosion inhibition process for LALE revealed that the optimum conditions for maximum IE, minimum WL, and CR were achieved at a concentration of 93.93 ppm and an immersion time of 228 hrs. Under these settings, the inhibition efficiency, weight loss, and corrosion rate were 93.85%, 0.294g and 3.267 mm/y, respectively. Therefore, the models are considered ideal for prediction with a confidence level of 95%, and the optimal combination is suitable for the corrosion inhibition process design. Hence these models can be recommended for applications such as oil well acidizing and pickling pipelines.

Genetic Analysis and Construction of a Fingerprint for Licensed Triadica sebifera Cultivars Using SSR Markers

Triadica sebifera is an important landscaping tree species because of its colorful autumn leaves. In recent years, some cultivars have been bred and licensed, but it can be difficult to identify them from their morphological traits due to their similar phenotypes. To explore the genetic relationships and construct a fingerprint of the cultivars, the licensed T. sebifera cultivars were analyzed using SSR markers. A total of 179 alleles were identified among the 21 cultivars at 16 SSR loci, and these alleles exhibited a high level of genetic diversity (He = 0.86). The genetic variations mainly occurred among cultivars based on an analysis of molecular variance (AMOVA). According to phylogenetic analysis, principal coordinate analysis (PCoA), and Bayesian clustering analysis, the genetic relationships were independent of geographic distances, which may be mainly due to transplantations between regions. Some cultivars with different leaf colors showed obvious genetic differentiation and may be preliminary candidates for cross-breeding. Finally, the fingerprint for the licensed cultivars was constructed with two SSR markers. The results of this study can provide technical support for the application and legal protection of licensed Triadica sebifera cultivars.

Effect of purpose-based career coaching on career decision-making

AbstractTo enhance coaching experiences in career development, diverse approaches must be developed and tested. This study’s objective was to determine the effectiveness of a purpose-based career coaching framework on career decision-making difficulties. In this study, randomized experimental conditions and interviews were combined. A theoretical sampling procedure was used for a period of two years to generate samples for the study. A total of 187 youths were recruited, but 78 did not meet the study criteria, while 29 declined to take part. A sample of 80 youths met the study criteria and completed all phases of the study. Twelve one-to-one sessions, aligning with the Pb-CC framework, covered core techniques such as reimagining, spiritualizing, self-discovery, career exploration, identifying, and matching. Qualitative data was collected using a researcher-developed interview protocol, consisting of three open-ended questions such as: “How would you describe the meaning or purpose of your life?; What is the category of career that relates to your purpose?; and What do you believe about purpose and career?” In addition, Career Decision-Making Scale (CDDS) was used to collect data. Quantitative data were analyzed using repeated measures analysis of variance, while qualitative data were analyzed using thematic analysis, which includes the organization of data, the identification and development of themes, the saturation of themes, and the presentation of themes. At the end of the intervention, participants successfully identified their purpose and skillfully matched it with suitable careers. The effect of purpose-based career coaching has been found to be significant on career decision making. These findings bear practical significance for career counselling, policy implementation, industrialization, research and career development.

Improving Diabetic Care Through Education and Innovation

Background:Despite the innovative advancements in diabetes care, providers may not recognize patients with type 2 diabetes mellitus (T2DM) who qualify for a continuous glucose monitoring (CGM) device or the benefits of a telemedicine program for improving self-management behaviors.Objective:This quality improvement (QI) project aimed to determine if an advanced practice registered nurse (APRN)-led telemedicine program using CGM could improve glycemic control and self-management in patients with insulin-dependent T2DM.Methods:A 6-week telemedicine program was developed and implemented using the CGM’s time-in-range to deliver patient-specific education. Clinical metrics were collected at each visit. All patients completed a pre- and postintervention Diabetes Self-Management Questionnaire-Revised (DSMQ-R) survey.Results:A repeated measures analysis of variance revealed that the telemedicine program had a statistically significant impact on time-in-range outcomes,F(2, 14) = 18.203,p&lt; .001. Paired-samplesttests indicate that APRN-led education improved body mass index,t(8) = 4.232,p= .002; decreased systolic blood pressure,t(8) = 2.90,p= .010, and diastolic blood pressure,t(8) = 3.21,p= .007; and increased self-management skills as evidenced by DSMQ-R,t(8) = −5.498,p&lt; .001.Conclusions:This QI project highlights multiple interventions for improving diabetes management in a primary care facility.Implications for Nursing:An APRN-led telemedicine program integrating CGM time-in-range data can improve glycemic control and self-management skills in patients with T2DM who administer insulin.

Neuroimmune response and oxidative stress in the prefrontal cortex mediate seizure susceptibility in experimental colitis in male mice.

Inflammatory bowel disease (IBD) is a chronic gastrointestinal disorder. Oxidative stress and inflammatory responses have a vital role in the pathophysiology of IBD as well as seizure. IBD is associated with extraintestinal manifestations. This study aimed to explore the relationship between colitis and susceptibility to seizures, with a focus on the roles of neuroinflammation and oxidative stress in acetic acid-induced colitis in mice. Forty male Naval Medical Research Institute mice were divided into four groups: control, colitis, pentylenetetrazole (PTZ), and colitis + PTZ. Colitis was induced by intrarectal administration of acetic acid, and seizures were induced by intravenous injection of PTZ 7 days postcolitis induction. Following the measurement of latency to seizure, the mice were killed, and their colons and prefrontal cortex (PFC) were dissected. Gene expression of inflammatory markers including interleukin-1β, tumor necrosis factor-alpha, NOD-like receptor protein 3, and toll-like receptor 4, as well as total antioxidant capacity (TAC), malondialdehyde (MDA), and nitrite levels were measured in the colon and PFC. Histopathological evaluations were performed on the colon samples. Data were analyzed by t-test or one-way variance analysis. Colitis decreased latency to seizure, increased gene expression of inflammatory markers, and altered levels of MDA, nitrite, and TAC in both the colon and PFC. Simultaneous induction of colitis and seizure exacerbated the neuroimmune response and oxidative stress in the PFC and colon. Results concluded that neuroinflammation and oxidative stress in the PFC at least partially mediate the comorbid decrease in seizure latency in mice with colitis.

Development of mathematical correlations to predict performance of forced ventilated Photovoltaic-DSF system in hot composite climate

Performance of Photovoltaic-double skin façade (Photovoltaic-DSF) system in summer has been critical. Owing to high solar ingress, cooling requirement of a building significantly increases. Photovoltaic-DSF system provides a shield and controls the heat gain through fenestration in the interior spaces. In the present article, mathematical correlations are developed to analyse energy behaviour of forced-ventilated Photovoltaic-DSF system in India’s hot summer zone, that is, Jaipur. The Photovoltaic-DSF system has been installed and monitored for Jaipur’s summer months (May to July). L25 Orthogonal array of design parameters (air cavity thickness, air velocity and PV panel’s transparency) and their respective levels have been developed using Taguchi design to perform experiments. Based on experimental results, multiple linear regression has been used to forecast solar heat gain coefficient, PVs electrical power and daylighting illuminance indoors as function of design factors. The statistical significance of mathematical relationships is supported by variance analysis, which is found to be in good accord with field measurements ( R2 &gt; 0.90). The proposed correlations are pragmatic in designing Photovoltaic-DSF systems for hot summer conditions. The Photovoltaic-DSF system with 30% transmittance and air velocity of 5 m/s in 200 mm air cavity thickness achieved maximum energy performance in hot summers.

Genetic diversity and population structure of Bellamya purificata in Guangxi.

Bellamya purificata is an important medicinal value and economically farmed species in China. However, because little is known about the genetic characteristics of this species, the utilization of high-quality germplasm resources is hindered. The study examined the genetic differentiation between, and the structure of 12 B. purificata populations in Guangxi using 7 microsatellite DNA markers. High genetic diversity occurred in each population, with mean observed heterozygosity 0.655 and a mean expected heterozygosity 0.832. Analysis of molecular variance reveals genetic diversity to be greater within (95.2%) than among populations (4.8%). Genetic differentiation between populations is weak (Fst = 0.048, P < 0.001), with mixing of genetic clusters prevalent at the level of the individual. Genetic flow exists between populations (Nm = 3.084-11.778), with Longshui and Guilin populations exchanging frequently. A Mantel test reveals a low correlation between geographic and genetic distances (r = 0.2482, P < 0.071), suggesting that dispersal between neighboring populations facilitates population exchange. No significant heterozygosity excess was observed for any population (P > 0.05), indicating a lack of recent genetic bottlenecks. The results provide important genetic information for B. purificata, and data for potential germplasm discovery and aquaculture development.

Comparative study of UV spectroscopy, RP-HPLC and HPTLC methods for quantification of antiviral drug lamivudine in tablet formulation

BackgroundIn the current study, estimation of lamivudine (LMU) by UV spectroscopy, reverse-phase HPLC (RP-HPLC) and HPTLC methods in tablet formulation was developed, and comparative studies between the methods were investigated by analytical results and statistical test analysis of variance (ANOVA) to find out best method. In the UV spectral method, LMU was quantified at 271 nm absorption maxima using methanol as the solvent. In the RP-HPLC method, the Shimadzu C18 column (250 mm × 4.6 mm i.d., 5 µm particle size) was employed for chromatographic separation. The mobile phase used consists of methanol: water (70:30 v/v) in an isocratic mode with a 1.0 mL/min flow rate. In the HPTLC method, the chromatogram was developed on a pre-coated plate of silica gel 60 F254 with a mobile phase composition of chloroform: methanol (8:2 v/v). The quantification was performed at an absorbance mode of 271 nm by densitometry. The methods were validated according to the International Conference on Harmonization (ICH) guideline Q2 (R1). The degradation conditions were employed as per ICH guidelines Q1A(R2) and Q1B which include acid, alkaline, neutral, thermal and photostability to determine the intrinsic stability of the drug in varied environmental conditions.ResultsLMU absorption maxima was found to be 271 nm. The retention time of LMU was 3.125 min, and the total analysis time was 5 min. The Rf value of LMU was 0.49–0.62. The methods were linear within 2–12 μg/mL range. The correlation coefficient (r2) for UV, HPLC and HPTLC was 0.9980, 0.9993 and 0.9988, and percent recoveries were calculated as 98.40–100.52%, 99.27–101.18% and 98.01–100.30%, respectively, with percentage relative standard deviation (RSD) less than 2% showing that methods were precise and accurate.ConclusionDeveloped UV, RP-HPLC and HPTLC methods are free from intervention caused by excipients present in tablets and thus can be used for regular quantitative analysis of LMU in tablet formulation. Based on analytical results and statistical tests, ANOVA, it is inferred that the HPLC method is best for LMU quantification tablet formulation due to its high reproducibility, good retention time and sensitivity; it has a higher percent recovery and has less analysis time, i.e., 5 min. The degradation peaks were well separated from the LMU peak indicating stability of the HPLC method.

Effectiveness of Lianhua Qingwen Granule and Jingyin Gubiao Prescription in Omicron BA.2 Infection and Hospitalization: A Real-World Study of 56,244 Cases in Shanghai, China.

To examine the effectiveness of Chinese medicine (CM) Lianhua Qingwen Granule (LHQW) and Jingyin Gubiao Prescription (JYGB) in asymptomatic or mild patients with Omicron infection in the shelter hospital. This single-center retrospective cohort study was conducted in the largest shelter hospital in Shanghai, China, from April 10, 2022 to May 30, 2022. A total of 56,244 asymptomatic and mild Omicron cases were included and divided into 4 groups, i.e., non-administration group (23,702 cases), LHQW group (11,576 cases), JYGB group (12,112 cases), and dual combination of LHQW and JYGB group (8,854 cases). The length of stay (LOS) in the hospital was used to assess the effectiveness of LHQW and JYGB treatment on Omicron infection. Patients aged 41-60 years, with nadir threshold cycle (CT) value of N gene <25, or those fully vaccinated preferred to receive CM therapy. Before or after propensity score matching (PSM), the multiple linear regression showed that LHQW and JYGB treatment were independent influence factors of LOS (both P<0.001). After PSM, there were significant differences in LOS between the LHQW/JYGB combination and the other groups (P<0.01). The results of factorial design ANOVA proved that the LHQW/JYGB combination therapy synergistically shortened LOS (P=0.032). Patients with a nadir CT value <25 were more likely to accept CM. The LHQW/JYGB combination therapy could shorten the LOS of Omicron-infected individuals in an isolated environment.