Multivariate Factor Research Articles

CASZ1 Is Essential for Skin Epidermal Terminal Differentiation

The barrier function of skin epidermis is crucial for our bodies to interface with the environment. Because epidermis continuously turns over throughout the lifetime, this barrier must be actively maintained by regeneration. Although several transcription factors have been established as essential activators in epidermal differentiation, it is unclear whether additional factors remain to be identified. In this study, we show that CASZ1, a multi zinc-finger transcription factor previously characterized in nonepithelial cell types, shows highest expression in skin epidermis. CASZ1 expression is upregulated during epidermal terminal differentiation. In addition, CASZ1 expression is impaired in several skin disorders with impaired barrier function, such as atopic dermatitis, psoriasis, and squamous cell carcinoma. Using transcriptome profiling coupled with RNA interference, we identified 674 differentially expressed genes with CASZ1 knockdown. Downregulated genes account for 91.2% of these differentially expressed genes and were enriched for barrier function. In organotypic epidermal regeneration, CASZ1 knockdown promoted proliferation and strongly impaired multiple terminal differentiation markers. Mechanistically, we found that CASZ1 upregulation in differentiation requires the action of both the master transcription factor, p63, and the histone acetyltransferase, p300. Taken together, our findings identify CASZ1 as an essential activator of epidermal differentiation, paving the way for future studies understanding of CASZ1 roles in skin disease.

Sistem Pendukung Keputusan Dalam Penilaian Kinerja Karyawan Rumah Sakit Menggunakan Metode Multi Factor Evaluation Process

Employees are a resource that is a supporting factor for a company or organization. Having employees who meet qualification standards can develop the company and increase company productivity. Employee performance assessments are carried out looking at the company's success in organizing employees and determining the level of employee loyalty and professional performance towards the company. Petukangan Hospital has a large number of employees ranging from health workers to management employees and others. Currently there is no system used to evaluate employee performance, so the assessment process takes a long time and is not timely and there is an element of subjectivity in the assessment. Therefore, we need a system that can help assess employee performance with the aim of the research as an alternative in systematically and objectively assessing employee performance according to the weights and criteria obtained by each employee. In this research, the method used is the Multi Factor Evaluation Process of a Decision Support System, where this method carries out an assessment by calculating weights and criteria. The aim of this research is to provide the best solution and tools for Petukangan Hospital in assessing employee performance, and this research is expected to have benefits that can become effective and efficient problem solving. This research has results obtained from testing in the form of a ranking system where employees with the highest total evaluation score is the employee with the best performance score. The calculation results show that the employee with the best performance and rank 1 is Employee 26 with a value of 0.8375.

Polycyclic Aromatic Hydrocarbons and Pancreatic Cancer: An Analysis of the Blood Biomarker, r-1,t-2,3,c-4-Tetrahydroxy-1,2,3,4-tetrahydrophenanthrene and Selected Metabolism Gene SNPs.

Exposure to polycyclic aromatic hydrocarbons (PAHs), byproducts of incomplete combustion, and their effects on the development of cancer are still being evaluated. Recent studies have analyzed the relationship between PAHs and tobacco or dietary intake in the form of processed foods and smoked/well-done meats. This study aims to assess the association of a blood biomarker and metabolite of PAHs, r-1,t-2,3,c-4-tetrahydroxy-1,2,3,4-tetrahydrophenanthrene (PheT), dietary intake, selected metabolism SNPs, and pancreatic cancer. Demographics, food-frequency data, SNPs, treatment history, and levels of PheT in plasma were determined from 400 participants (202 cases and 198 controls) and evaluated based on pancreatic adenocarcinoma diagnosis. Demographic and dietary variables were selected based on previously published literature indicating association with pancreatic cancer. A multiple regression model combined the significant demographic and food items with SNPs. Final multivariate logistic regression significant factors (p-value < 0.05) associated with pancreatic cancer included: Type 2 Diabetes [OR = 6.26 (95% CI = 2.83, 14.46)], PheT [1.03 (1.02, 1.05)], very well-done red meat [0.90 (0.83, 0.96)], fruit/vegetable servings [1.35 (1.06, 1.73)], recessive (rs12203582) [4.11 (1.77, 9.91)], recessive (rs56679) [0.2 (0.06, 0.85)], overdominant (rs3784605) [3.14 (1.69, 6.01)], and overdominant (rs721430) [0.39 (0.19, 0.76)]. Of note, by design, the level of smoking did not differ between our cases and controls. This study does not provide strong evidence that PheT is a biomarker of pancreatic cancer susceptibility independent of dietary intake and select metabolism SNPs among a nonsmoking population.

Photovoltaic power generation prediction and optimization configuration model based on GPR and improved PSO algorithm

As the growing demand for energy as well as the strengthening of environmental awareness, photovoltaic power generation, as a clean and renewable energy source, has gradually attracted people's attention and attention. To facilitate the dispatching and planning of power system, this study uses historical data and meteorological data to build a photovoltaic power generation prediction and configuration optimization model on the ground of Gaussian process regression and improved particle swarm optimization algorithm. The simulation results show that the regression prediction curve of the Gaussian process regression prediction model is the closest to the real curve, and the prediction curve is stable and not easily disturbed by noise data. The Root-mean-square deviation and the average absolute proportional error of the model are small, and the disparity in the predicted value and the true value of the model is small; The integration of multi factor data has improved the accuracy of prediction data, and the regression prediction effect is good. The improved Particle swarm optimization algorithm could continuously enhance in the search for the optimal solution, and the Rate of convergence is fast. The Pareto solution can provide different solutions suitable for photovoltaic power generation optimization. Reasonable optimization configuration can effectively reduce active power line loss and voltage deviation, with the maximum reduction values reaching 132kW and 0.028, respectively. The research and design of predictive models and optimized configuration models can promote the formation of smart grids.

Prediction Model of Water Abundance of Weakly Cemented Sandstone Aquifer Based on Principal Component Analysis–Back Propagation Neural Network of Grey Correlation Analysis Decision Making

At present, in the vast majority of coal mine production processes in China, the degree of hydrogeological exploration often lags behind geological exploration. The main difficulty in evaluating the water richness of coal seam top and bottom water-bearing beds is that the existing evaluation methods often rely on less hydrogeological investigation data. How to utilize the abundant geological exploration data in the mining area to appraise the water-rich distribution of sandstone aquifers is a feasible and challenging methodology. At present, some experts and scholars have tried to use multivariate factor analysis to solve the problem of water-richness evaluation, and they have achieved certain results, but there are some shortcomings: (1) The prediction results are mostly qualitative estimations of the water-richness grade, and there is a lack of quantitative analysis of the units-inflow; and (2) at present, the more advanced prediction methods, such as the back propagation (BP) neural network model, have the disadvantages of low accuracy, requiring many iterations, and slow convergence speed. Therefore, with geological exploration data of the 1503E working face of the Yili No.1 coal mine as the basis., this paper uses grey correlation analysis to screen out the factor indexes suitable for the evaluation of the water richness of a weakly cemented sandstone aquifer, and it combines principal component analysis (PCA) with a BP neural network. Based on the selected factor indexes, a prediction model of the water richness of a weakly cemented sandstone aquifer is established. The results show that compared with the existing methods, the prediction accuracy is higher and has a certain application value.

How much does government’s short-term response matter for explaining cross-country variation in COVID-19 infection outcomes? A regression-based relative importance analysis of 84 countries

ObjectiveWe study the predetermined characteristics of countries in addition to their government non-pharmaceutical interventions (NPIs) to shed light on the correlates of the variation in COVID-19 infection outcomes across countries.Methods...

Prevalence and factors associated with methicillin-resistant Staphylococcus aureus colonization on admission to geriatric care units: impact on screening practices

Universal screening for methicillin-resistant Staphylococcus aureus (MRSA) entails additional costs, and there is no consensus for targeted screening for high-risk units. The aims of this study were to determine the prevalence of MRSA in geriatric care units, and to identify the factors associated with MRSA colonization on admission. This retrospective case-control study (1:1) in the geriatric care unit of six Belgian hospitals covered the period from 1st January 2021 to 31st December 2022. Cases were patients with a positive MRSA screening result within 48h of admission to the geriatric care unit, and controls were patients with a negative screening result. In total, 556 patients were included in this study (278 in each group). Prevalence per 100 admissions for the total sample was 2.3 [95% confidence interval (CI) 2.2-2.6]. Significant multi-variate factors associated with MRSA carriage on admission were: history of MRSA, nursing home origin, and chronic skin lesions. Applying these three factors would give an area under the receiver operating characteristic (ROC) curve of 0.73 (95% CI 0.71-0.77), and would allow screening to be carried out in only 55.4% of cases (95% CI 51.2-59.6%). Using these factors as screening criteria in geriatric care units could significantly reduce the number of patients screened for MRSA, while maintaining satisfactory sensitivity and specificity.

Evaluation of New Employee Selection using the Multi Factor Evaluation Process Method

The process of accepting and selecting prospective employees is the earliest process for a company to get quality employees that the company or agency needs. Companies must have criteria for the employees they want. On CV. Adtuil Photocopying in recruiting employees is still less efficient, namely prospective employees still send application files to the company or via expedition delivery. So HRD will have difficulty in selecting prospective employees because they have to record and double-check incoming application files as well as the process of determining the right criteria . Solutions used to overcome problems on CV. Adtuil uses a decision support system for selecting new employees, using the Multi Factor Evaluation Process (MFEP) method. This method is quantitative which uses a weighting system in decision making. Application design using the Vb programming language. Net and MySQL databases that can manage data quickly and accurately. The results of this research show that there were 3 employees who received 10 alternative data, namely A1, A5, A9 with scores &gt; 75. After using this decision support system it can help CV. Adtuil Photocopy in determining employee acceptance precisely, quickly and accurately

DOP60 Prevalence of undiagnosed inflammatory Bowel Disease in patients with spondyloarthritis: EISER Study

Abstract Background A significant proportion of patients with inflammatory bowel disease (IBD) have concomitant rheumatological manifestations. Patients with spondyloarthritis (SpA) often report gastrointestinal symptoms, some of them being associated to IBD. However, the exact prevalence of this disorder is still controversial, and the optimal approach to its diagnosis remains unknown. Methods Aim: to determine the prevalence of undiagnosed IBD in patients with axial SpA and psoriatic arthritis (PA). EISER is an observational, cross-sectional study carried out in13 Spanish hospitals. Patients ≥18 years-old diagnosed with PA or SpA were selected. Patients receiving biologics or systemic steroids were excluded. Among patients ≥ 50 years, only those without valid colonoscopy in the previous 3 years were included. Rheumatologists performed a baseline visit and collected demographic, clinical data. Fecal calprotectin (FC) was determined by the Quantum Blue rapid test and this was followed by a gastroenterologist consultation. Figure 1 summarizes study protocol. Results A total of 559 patients were included (51% men; mean 52.2 years; mean disease duration of SpA/PA was 12.3 years). The most frequent disease was radiographic SpA (37%), followed by peripheral APs (36%). Tabla 1 shows demographic characteristics of patients. A total of 40% of patients has FC ≥ 80 ug/g. In the multivariate logistic regression analysis factors associated with a greater likelihood of FC ≥ 80 µg/g were disease duration (OR 1.021, 95%CI 1.000 to 1.042, p&amp;lt;0.05) and disease activity by ASDAS-CRP (OR 2.158, 95%CI 0.906 to 5.139, p&amp;lt;0.1), while general health status by EQ-5D-5L was associated with a lower likelihood of FC ≥ 80 µg/g (OR 0.976, 95%CI 0.960 to 0.993, p&amp;lt;0.01). 28 patients were diagnosed of IBD, leading to a prevalence of 5.7%, 22 out of the 248 patients with axial SpA had IBD (8.9%) and 6 out of the 246 patients with PsA (2.4%). 24 were diagnosed with Crohn’s disease (CD), 3 unclassified IBD, and 1 UC. Seven (25.0%) of these IBD patients showed symptoms. The ROC curve for FC and the diagnosis of IBD is presented in Figure 1 (AUC of 0.870 (p&amp;lt;0.001, 95CI% 83.7 to 89.8). The highest sensitivity(S) and specificity (Sp) corresponded to a FC level &amp;gt;147 µg/g (S= 85.7% and a Sp of 75.5%, a PPV of 17.4% (95%CI 14.5 to 20.8) and NPV of 98.9% (95%CI 97.3 to 99.5). Conclusion - 5.7% of SpA patients have undiagnosed IBD. This prevalence was higher among axial SpA than PsA patients. - CD is the most frequent IBD type observed.· - FC is a useful tool to identify patients with SpA and lesions secondary to IBD. - FC has a high NPV to rule out IBD in axial SpA patients. - Disease duration, quality of life and disease activity of SpA are associated with higher levels of FC.

Co-volatility dynamics in global cryptocurrency and conventional asset classes: a multivariate stochastic factor volatility approach

Purpose This study aims to investigate the co-volatility patterns between cryptocurrencies and conventional asset classes across global markets, encompassing 26 global indices ranging from equities, commodities, real estate, currencies and bonds. Design/methodology/approach It used a multivariate factor stochastic volatility model to capture the dynamic changes in covariance and volatility correlation, thus offering empirical insights into the co-volatility dynamics. Unlike conventional research on price or return transmission, this study directly models the time-varying covariance and volatility correlation. Findings The study uncovers pronounced co-volatility movements between cryptocurrencies and specific indices such as GSCI Energy, GSCI Commodity, Dow Jones 1 month forward and U.S. 10-year TIPS. Notably, these movements surpass those observed with precious metals, industrial metals and global equity indices across various regions. Interestingly, except for Japan, equity indices in the USA, Canada, Australia, France, Germany, India and China exhibit a co-volatility movement. These findings challenge the existing literature on cryptocurrencies and provide intriguing evidence regarding their co-volatility dynamics. Originality This study significantly contributes to applying asset pricing models in cryptocurrency markets by explicitly addressing price and volatility dynamics aspects. Using the stochastic volatility model, the research adding methodological contribution effectively captures cryptocurrency volatility's inherent fluctuations and time-varying nature. While previous literature has primarily focused on bitcoin and a few other cryptocurrencies, this study examines the stochastic volatility properties of a wide range of cryptocurrency indices. Furthermore, the study expands its scope by examining global asset markets, allowing for a comprehensive analysis considering the broader context in which cryptocurrencies operate. It bridges the gap between traditional asset pricing models and the unique characteristics of cryptocurrencies.

Pediatric Resident and Program Director Views on Climate Change and Health Curricula: A Multi-Institution Study.

The American Academy of Pediatrics emphasized in a 2007 policy statement the importance of educating trainees on the impacts of climate change on children's health, yet few studies have evaluated trainee knowledge and attitudes about climate change-related health effects in children. This multi-institution study assessed pediatric resident and program director (1) knowledge/attitudes on climate change and health, (2) perspectives on the importance of incorporating climate and health content into pediatric graduate medical education, and (3) preferred topics/activities to include in climate and health curricula. This mixed-methods study employed an anonymous cross-sectional survey of pediatric residents and residency program directors from Association of Pediatric Program Directors (APPD) Longitudinal Educational Assessment Research Network (LEARN)-affiliated programs. Multivariable regression models and factor analyses were used to examine associations among resident demographics and resident knowledge, attitudes, and interest in a climate change curriculum. A conventional content analysis was conducted for the open-ended responses. Eighteen programs participated in the study with all program directors (100% response rate) and 663 residents (average response rate per program, 53%; overall response rate, 42%) completing respective surveys. Of the program directors, only 3 (17%) felt very or moderately knowledgeable about the association between climate change and health impacts. The majority of residents (n=423, 64%) agreed/strongly agreed that physicians should discuss global warming/climate change and its health effects with patients/families, while only 138 residents (21%) agreed/strongly agreed that they were comfortable talking with patients and families about these issues. Most residents (n=498, 76%) and program directors (n=15, 83%) agreed/strongly agreed that a climate change curriculum should be incorporated into their pediatrics training program. Pediatric residents and program directors support curricula that prepare future pediatricians to address the impact of climate change on children's health; however, few programs currently offer specific training, despite identified needs.

Influence of sarcopenia on surgical efficacy and mortality of percutaneous kyphoplasty in the treatment of older adults with osteoporotic thoracolumbar fracture

BackgroundSarcopenia is an age-related condition that causes loss of skeletal muscle mass and disability. Sarcopenia is closely related to the prognosis of patients suffering osteoporotic thoraco-lumbar compression fractures (OTLCF). The purpose of this study was to investigate the effect of sarcopenia on the efficacy of percutaneous kyphoplasty (PKP) in the treatment of older adults with OTLCF surgery and postoperative mortality. MethodsFrom February 2016 to June 2019, 101 patients who met the inclusion and exclusion criteria were included in this study. The grip strength of the dominant hand was measured using an electronic grip tester. The diagnostic cutoff value of grip strength for sarcopenia was <27 kg for males and <16 kg for females. The cross-sectional area (cm2) of the musculature at the level of the pedicle of the thoracic 12th vertebra (T12) was measured by chest CT. The skeletal muscle index (SMI) was calculated by dividing the muscle cross-sectional area at the T12 pedicle level by the square of the height. The diagnostic cut-off value of SMI at T12 level is 42.6 cm2/m2 for males and 30.6 cm2/m2 for females. Sarcopenia was diagnosed when the grip strength and SMI values were both lower than the diagnostic cut-off value. All included patients received PKP treatment for OTLCF. The age, gender, operation time, bleeding volume, time to ground, length of hospital stay, visual analog scale (VAS) score before operation and one month after operation, Oswestry Disability Index (ODI) one month after operation and the incidence of refracture within 36 months after operation were compared between the two groups. The survival curves of the two groups were analyzed by Kaplan Meier. Chi-square test was used to compare the differences in survival rates between the two groups at 12, 24, and 36 months after operation. Univariate and multivariate Cox regression analysis compared multivariate factors on OTLCF postoperative mortality. ResultsThere was no significant difference in gender, operation time, blood loss and preoperative VAS score between the two groups (χ2 = 1.750, p = 0.186; t = 1.195, p = 0.235; t = −0.582, p = 0.562; t = −1.513, p = 0.133), respectively. The patients in the sarcopenia group were older (t = 3.708, p = 0.000), and had longer postoperative grounding time and hospitalization time (t = 4.360, p = 0.000; t = 6.458, p = 0.000). The VAS scores and ODI scores one month postoperatively were also higher in sarcopenia group (t = 5.900, p = 0.000; t = 7.294, p = 0.000), and there was a statistical difference between the two groups. Interestingly, there was no significant difference in the incidence of spinal refracture within 36 months between the two groups (χ2 = 1.510, p = 0.219). The sarcopenia group had a higher mortality rate at 36 months after operation, and the difference was statistically significant (p = 0.002). Sarcopenia is an independent risk factor for long-term mortality in OTLCF patients received PKP surgery. ConclusionsPatients with sarcopenia combined with OTLCF have poor postoperative recovery of limb function and a high risk of death in the long-term (36 months) after surgery. Active and effective intervention for sarcopenia is required during treatment.

MYBL2 is a Novel Independent Prognostic Biomarker and Correlated with TMB in pancreatic cancer.

Background: Pancreatic cancer continues to pose a significant threat due to its high mortality rate. While MYB family genes have been identified as oncogenes in certain cancer types, their role in pancreatic cancer remains largely unexplored. Methods: The mRNA and protein expression of MYB family genes in pancreatic cancer samples was analyzed using TNMplot, HPA, and TISBID online bioinformatics tools, sourced from the TCGA and GETx databases. The relationship between MYB family gene expression and survival time was assessed through Kaplan-Meier analysis, while the prognostic impact of MYB family gene expression was evaluated using the Cox proportional hazards model. Additionally, Spearman's correlation analysis was employed to investigate the correlation between MYB family genes and TMB/MSI. Results: The integration of data from various databases demonstrated that all MYB family genes exhibited dysregulated expression in pancreatic cancer. However, only the expression of the MYBL2 gene displayed a notable association with the grade and stage of pancreatic cancer. Furthermore, the MYBL2 gene exhibited significant variations in both univariate and multivariate factor analyses.Subsequent functional analyses revealed a significant correlation between MYBL2 expression in pancreatic cancers and various biological processes, such as DNA replication, tumor proliferation, G2M checkpoint regulation, pyrimidine metabolism, and the P53 pathway. Additionally, a notable positive association was observed between MYBL2 expression and tumor mutational burden (TMB), a predictive indicator for response to PD1 antibody treatment. Conclusion: MYBL2 may be a double marker for independent diagnosis and PD1 antibody response prediction of pancreatic cancer patients.

Psychosemantic analysis of environmental consciousness as a factor of sustainable society development

The study of psychosemantic aspects of the environmental consciousness of students is an extremely relevant topic in modern realities. This research provides understanding the ways the environmental consciousness of the young generation is formed and developing effective strategies for the education of responsible citizens with a high level of environmental culture, scientific knowledge of the natural environment, methods of environmental safety, capable of ensuring the sustainable development of our society. The purpose of this scientific work is to study the everyday ecological consciousness of students of Stavropol State Agrarian University. The method of experimental psychosemantics, semantic differential method, and the method of multivariate statistics factor analysis were used for the research. The basic constructs determining the students’ perception of the modern ecological reality in the natural environment were identified in the students’ everyday consciousness. The analysis of the results of the research of ecological consciousness of first- and fourth-year students is presented. It is shown that the first-year students perceive the ecological reality through the constructs “responsibility - irresponsibility” and “ecological centrality - anthropocentrism”, and the fourth-year students - through the constructs “ecological literacy”, “rational - irrational use of nature”. First year students perceive the image of an ecologically literate person, a carrier of eco-culture and a nature protector, a person leading an ecologically sustainable lifestyle and a modern student as ecologically responsible and ecologically centered. The novelty of this research lies in the application of psychosemantic method for studying the environmental consciousness of students of agrarian university.

A prediction model to differentiate transient ischemia from irreversible transmural necrosis in closed-loop small bowel obstruction.

The study aims to develop a prediction model to differentiate transient ischemia from irreversible transmural necrosis in closed-loop small bowel obstruction (CL-SBO). A total of 180 participants with CL-SBO between January 2010 and December 2019, of which 122 had complete radiologic data, were included to investigate the significant clinical and imaging characteristics for differentiating patients with necrosis from transient ischemia. A logistic regression model was developed and validated. In a multivariate analysis, the American Society of Anesthesiologists physical status classification system >2 is the independent predictor for transmural necrosis. Another multivariate analysis, including clinical and imaging factors, revealed that the imaging sign of mesenteric vessel interruption was an independent risk factor for necrosis. The diagnostic model developed using these two factors has excellent performance among the validation sets, with an area under the curve of 0.89. The diagnostic model and innovative imaging signs have substantial potential in solving this complex clinical problem.

The impact of digital news on human capital in the context of an infodemia

The paper makes an attempt to assess the impact of dubious digital information on human capital, in particular on its component - health capital. The main event was the impact of dubious digital information in the form of fakes on the vaccination of the population. Based on methods for processing large data sets, multivariate statistical analysis and factor interaction analysis (Johnson – Neyman algorithm), factors that significantly influence the health factor were identified, and a threshold value for the percentage of fake news influencing the decision to vaccinate was obtained. Exposure of the population to a certain amount of fake news about diseases and vaccines has a negative impact on the healthcare sector. Therefore, it is important to strengthen society&amp;apos;s immunity to fake news and promote media objectivity.

Is central line type an independent risk factor of central line-associated bloodstream infection in a neonatal intensive care unit population? Experiences at a pediatric hospital in South Texas.

Central line-associated bloodstream infection (CLABSI) causes significant harm in neonatal intensive care unit (NICU) patients. However, data regarding risk factors and prevention strategies for CLABSI in NICU patients is limited. To examine risk factors for CLABSI in a NICU population, with particular interest in central line type and site placement. Retrospective case-control study. NICU (Level IV, 67 bed) at a pediatric hospital in South Texas. All central line insertions and subsequent CLABSI cases were extracted from the EHR for NICU admissions occurring from January 1, 2018, to November 3, 2022 (N = 1,356), along with potential CLABSI risk factors. Central line insertions resulting in CLABSI (N = 35) were compared to instances without CLABSI (N = 1,321) using bivariate and multivariate analysis, with propensity score matching. Multivariate risk factors include implantable device (odds ratio [OR] = 14.5, P < .001), neck site placement (OR = 7.2, P < .001), and device dwell time (OR = 5.6, P = .001), as well as years 2021 (OR = 5.1, P = .017) and 2022 (OR = 5.9, P = .011). This indicates the odds of contracting CLABSI are 14.5 times higher when an implantable central line is used compared to the reference category (PICC devices). When cases are paired with matched controls, likelihood of CLABSI is 7.1% higher in patients with an implantable device than in similar patients with other central lines (p = 0.034). Implantable central lines are an independent risk factor for CLABSI in NICU patients at this facility.

Investigating the second whitefly population outbreak within a decade in the cotton growing zone of North India.

The whitefly, Bemisia tabaci (Gennadius), is a polyphagous and major pest of cotton worldwide. Both adults and nymphs of B. tabaci affect the crop by causing direct and indirect damage. A severe whitefly outbreak was experienced during 2015 on cotton in North India and this was followed by a profound infestation during 2022. The present research rigorously examined whether the proliferation in the whitefly population was an outbreak or the result of a multi factor resurgence. During 2015, whitefly counts remained above the economic threshold level (ETL) between 28th and 35th Standard Meteorological Week (SMW). However, during 2022 above ETL population was observed in 27th SMW and it persisted until 36th SMW. The peak incidence of the whitefly was noticed during 31st and 29th SMW in 2015 and 2022, respectively. The early pest build up in 2022 and longer persistence (≥10 weeks) over the cotton season resulted in more damage to cotton crop. Additionally, pest survillence across the zone on the farmers' fields during 2022 revealed 44.4 per cent spots (585 out of 1,317 locations) above ETL while the corresponding locations in 2015 was 57% (620 out of 1,089). Thus, in 2022 infestation was not uniform in the entire zone wherein only few blocks of Punjab, Haryana and Rajasthan states of India experienced severe infestations of the whitefly. This study reports the complex of factors including weather, delayed sowing, use of tank mixtures/ subleathal doses of insecticides, pest resurgence etc. that might have possibly contributed to these upsurges in whitefly on cotton in north India.

Multi Factor Quantitative Stock Selection Strategy Based on Support Vector Machine Model

Multi Factor Quantitative Stock Selection Strategy Based on Support Vector Machine Model

Research on multi factor coupling accident triggering mechanism and accident risk control of gas pipeline leakage

Research on multi factor coupling accident triggering mechanism and accident risk control of gas pipeline leakage