基于Meta-SEM的建筑工人安全行为影响机制研究

为梳理建筑工人安全行为的前因变量并分析其影响机制,基于从众动机和计划行为理论,构建了建筑工人安全行为影响机制理论模型,运用元分析-结构方程模型(Meta-Structural Equation Modeling,Meta-SEM)法对国内外64项实证研究中的128个独立样本进行系统分析,以明确各前因变量与建筑工人安全行为的相互作用关系并探讨企业规模的调节作用。结果表明:在个体层面,安全意识、安全态度、安全动机与建筑工人安全行为的相关系数分别为0.663、0.513、0.509;在组织管理层面,安全氛围与建筑工人安全行为的相关系数为0.678;安全意识、安全态度、安全动机是安全氛围与建筑工人安全行为之间的中介变量;企业规模对安全意识、安全动机、安全氛围与建筑工人安全行为的关系间存在显著调节作用,其中,中小型企业的影响更显著。研究结论可为后续建筑工人安全行为研究提供一定的理论基础,也为建筑业管理者提供了管理依据。

基于Meta-分析的间伐强度对栎类天然林生长与更新的影响——对我国栎类天然林经营的启示

【目的】基于文献综述,研究间伐强度对栎类天然林生长与更新的影响,促进其科学经营和林分质量改善。【方法】检索已发表的相关文献数据,获得有效文献37篇和数据149条,采用Meta-分析方法探究间伐强度对栎类林分胸径年均生长量(mm·a^(−1))、林分蓄积年均生长量(m^(3)·hm^(−2)·a^(−1))和幼苗密度(株·100 m^(−2))的影响。【结果】中度(20%~39%)和强度间伐(≥40%)均能显著提高林分胸径生长量和蓄积生长量,特别是对幼龄林(≤20 a)和中龄林(21~40 a)效果显著,但对近熟林(41~60 a)和成熟林(>60 a)效果不显著;中度和强度间伐均能显著提高林分的幼苗密度,尤其对成熟林的效果最大;同时,在阳坡和下坡位或中坡位林分的间伐正效应值高于其它坡向和坡位。间伐激发幼龄林与中龄林生长和成熟林更新的效应持续时间约为10 a。【结论】中度以上间伐(≥20%)显著提高了栎类中幼龄林分的胸径和蓄积生长量以及成熟林幼苗密度,为持续促进上述林分生长与更新,其间伐间隔期应为10 a左右。研究结果可为我国栎类森林的可持续经营提供参考。

浅析英格索兰META-1512型轴流压缩机改造

为了解决催化裂化装置英格索兰META-1512轴流压缩机长期运行叶片磨损导致效率及安全可靠性下降的问题,本文从英格索尔META系列轴流压缩机与国内AV系列压缩机结构进行对比,制定了定子、转子专项改造方案,分析了轴流风机国产化的难点。最终通过改造库存的大流量轴流压缩机转子并结合风机入口过滤器的改造解决催化裂化装置主风机风量不足的瓶颈,提高了轴流风机的效率和安全可靠性,保证了催化装置长周期运行。

A Meta-Analysis of the Prognostic and Clinicopathological Significance of circZFR in Human Gastrointestinal Cancers

Background: Studies of gastrointestinal (GIT) cancers have shown that circZFR could be involved in the development and progression of various GIT cancers. However, small sample sizes limit the clinical significance of these studies. Here, a meta-analysis was conducted to ascertain the actual involvement of circZFR in the development and prognosis of GIT cancers. Methods: PubMed, Embase, Web of Science, and the Cochrane Library were searched up to December 31, 2023. Hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (CIs) were pooled to evaluate the association between circZFR expression and overall survival (OS). Publication bias was measured using the funnel plot and Egger’s test. Results: 10 studies having 659 participants were enrolled for meta-analysis. High circZFR expression was associated with poor OS (HR = 1.4, 95% CI: 1.20, 1.70). High circZFR expression also predicted larger tumor size (OR = 4.38, 95% CI 2.65, 7.25), advanced clinical stage (OR = 5.33, 95% CI 3.10, 9.16), and tendency for distant metastasis (OR = 2.89, 95% CI: 1.62, 5.11), but was not related to age, gender, and histological grade. Conclusions: In summary, high circZFR expression was associated with poor OS, larger tumor size, advanced stage cancer and tendency for distant metastasis. These findings suggested that circZFR could be a prognostic marker for GIT cancers.

Carbocysteine as Adjuvant Therapy in Acute Respiratory Tract Infections in Patients without Underlying Chronic Conditions: Systematic Review and Meta-Analysis

Objective: This study aims to systematically examine the existing evidence regarding the clinical benefits of carbocysteine as an adjunctive treatment in acute bronchopulmonary and otorhinological processes. Design: Systematic review and meta-analysis. Data sources: An electronic search was conducted across PubMed, Cochrane Library, clinicaltrials.gov, and the European Clinical Trial Register, with the search dated to May 2023. Bibliographic references from other literature reviews and meta-analyses were also reviewed. The search was limited to randomized clinical trials published in any language and year. It was completed by cross-checking the references of the located articles. Methods: Inclusion criteria covered studies assessing systemic or inhaled carbocysteine, regardless of dosing regimen. Concomitant medication use was acceptable if balanced between intervention and control groups. Authors independently extracted data, resolving disagreements through consensus. Methodological quality assessment relied on critical reading of each study. Dichotomous variables were analyzed using odds ratio (OR), and a final effect size was calculated. Statistical significance was established when confidence intervals did not cross the neutral value. Heterogeneity was assessed via the X2 test and I2 index. Results: Out of 318 initially identified studies, 4 met inclusion criteria. The meta-analysis for poor general condition yielded an OR of 0.45 in favor of intervention, p = 0.013, with non-significant heterogeneity. Cough events showed a percentage of 15.8% for carbocysteine vs. 27.2% for placebo. On the seventh day, expectoration rates were 18.37% for carbocysteinevs 33.3% for placebo. Conclusions: The observed clinical benefits align with carbocysteine’s mucoactive and muco-regulatory properties, complemented by anti-inflammatory and antioxidant actions. Carbocysteine stands out among mucolytic agents. In the context of persistent infectious diseases, the study emphasizes the need for further exploration of carbocysteine’s therapeutic potential as an adjunctive treatment for acute respiratory infections. These findings underscore its significance in the evolving landscape of respiratory healthcare.

Prevalence of Latent Tuberculosis Infection [LTBI] in Prison Officers: A Systematic Review and Meta-Analysis

This study aimed to perform a systematic review and meta-analysis to determine the LTBI prevalence in prison officers worldwide. A systematic search was performed in PubMed, WoS, Embase, and BVS, including all articles related to LTBI prevalence and risk factors. After critical evaluation and qualitative synthesis of the identified articles, a meta-analysis was used. Five studies carried out between 2012 and 2022 were included, with a total sample size of 1718 prison officers. The overall LTBI prevalence was 50% [95% confidence interval [CI]: 48% - 52%;n = 816], with high heterogeneity between studies. Smoking [OR = 1.76;CI 95% = 1.26 - 2.46] and males [OR = 2.08;CI 95% = 1.31 - 3.31] were positively related to a higher LTBI prevalence among prison officers. Thus, preventive measures and the rapid and accurate diagnosis of new cases should be emphasized to ensure tuberculosis control, especially among risk groups such as prison officers.

Literature Review, Meta-Analysis, and Mega-Analysis in Ecological and Agricultural Sciences

Literature review is an important component in any scientific research. In ecological and agricultural sciences, many studies have been conducted over years. With accumulation of scientific studies and published papers, it is critical to summarize and evaluate these previous research findings. Different literature review methods have been applied, including traditional qualitative literature review, quantitative meta-analysis, and more recently, mega-analysis, or meta-meta-analysis. Here we briefly describe these different approaches and draw attention to the recent development of data synthesis. Several case studies were used to illustrate the application of these methods in the ecological and agricultural sciences.

Characteristic Analysis of Off-Axis Meta-Lens

Meta-lens are a new type of planar optical element that can flexibly manipulate the phase, polarization and amplitude of the beam, and are currently receiving a great deal of attention as they are easier to process and manufacture. Off-axis meta-lens are a special type of meta-lens with a certain degree of dispersion that can be used as a beam-splitting element, providing a unique and feasible way to realize micro-miniature instruments. We analyze the effects of different numerical apertures and off-axis angles on the spectral resolution, focusing efficiency and simulation results of off-axis meta-lens to provide ideas for subsequent research and application of off-axis meta-lens. A number of off-axis meta-lens with parameters NA = 0.408 α = 13°, NA = 0.18 α = 13° and NA = 0.408 α = 20° were simulated through Lumerical software. The results show that the off-axis angle is related to the resolution;the larger the angle, the better the spectral resolution but the lower the focusing efficiency;when the numerical aperture is smaller, the smaller the coverage of the phase distribution, which will lead to a larger deviation between simulation and theory. The designer needs to balance the numerical aperture, off-axis angle and other parameters reasonably according to the requirements in order to achieve the desired effect. The findings of this study have important reference values for the theoretical analysis of off-axis meta-lens and the design of parameters in practical applications. .

中药膏方外治法治疗乳腺增生用药规律与作用机制的系统回顾与临床疗效Meta-分析

目的:总结中药膏方外治法及其联合治疗方案的用药规律与作用机制,比较不同中药膏方外治疗法与常规西医或口服疗法的临床疗效及安全性差异。方法:在数据库中检索近5年基于中药外治法治疗乳腺增生的文献,系统综述中药膏方外治法治疗乳腺增生的用药规律与作用机制。收集有关中药膏方外治法与其他外治法治疗乳腺增生疾病的随机对照试验(RCTs),提取相关数据并应用RevMan 5.3软件进行Meta-分析。结果:中药膏方外治法中常应用疏肝理气、清热凉血的药物。Meta-分析共纳入38项RCTs,分析了7种不同中药外治法治疗乳腺增生的有效率与安全性,结果显示:①中药膏方外敷联合西药口服的有效率(OR=7.44,95%CI=4.29~12.91,P<0.00001)相对于单用西药有明显改善;中药膏方外治联合中药复方内服的有效性(OR=4.30,95%CI=2.96~6.26,P<0.00001)高于单用中药内服;中药贴剂的有效率:(OR=2.55,95%CI=1.51~4.31,P=0.0005)优于常规口服疗法。②中药膏方外敷联合常规西药内服的分析数据存在明显的统计学差异(P=0.03),其余3种联合治疗方案的数据不存在统计学差异(P>0.05)。结论:中药膏方外治法治疗乳腺增生是一种具有前景的治疗方案,系统综述与Meta-分析结果表明,中药外治法相比内治法有效性普遍更高,同时安全性良好。

Open Meta-Analyst软件及其功能简介

Meta分析是生产证据的重要方法,其合并效应可以为临床实践指南提供有效的数据支持,分析过程依赖于性能良好的软件。Open Meta-Analyst软件是近年来新研发出来的一款具备多种Meta分析功能、适用于多种类型Meta分析的免费、非编程软件,操作简便,易于学习与掌握。本文以二分类数据为例,介绍Open Meta-Analyst软件的功能及其实现Meta分析的过程,同时分析该软件的优势与不足。

基于Meta-NDDF长江经济带农业碳排放效率异质性研究

为优化长江经济带农业碳减排格局,实现各区域均衡发展。基于2000-2019年长江经济带105个地级市面板数据,用Meta-NDDF模型分析农业碳排放效率异质性,并用Dagum基尼系数及分解探究区域差异来源及贡献。结果表明:(1)共同前沿下,长江经济带农业碳排放效率呈下降-上升-下降的态势,其均值为0.608,有39.2%的改进空间。(2)群组前沿下,农业碳排放效率整体高于共同前沿下的效率,均值达到高效的区域主要集中在下段和上段,低效区主要集中在中段,形成“U”形发展格局。(3)共同技术比进一步验证了各区域间存在显著的技术异质性,中段在共同前沿和群组前沿下的农业碳排放效率均最低,与下段和上段仍存在很大的差距。(4)长江经济带农业碳排放效率的总体基尼系数呈“W”变化,地区间的不平衡发展和超变密度贡献是导致农业碳排放效率区域差异显著的主要因素。

A Systematic Review and Meta-Analysis of Randomized Control Trials to Check Role of Non-Steroidal Anti-inflammatory Drugs as Protective Factor in Alzheimer Disease Subjects

Background: Alzheimer’s disease is the major neurodegenerative disease, affecting more than two third cases of dementia in the world. NSAIDs are widely used anti-inflammatory analgesic agents representing 7.7% of worldwide prescriptions of which 90% are in patients over 65 years old. Based on mixed findings observed by different RCTs, a systematic review and meta-analysis were conducted to develop a better understanding of the protective role of Non-steroidal anti-inflammatory drugs (NSAIDs) in AD. Methods: Database search was Pubmed, WebScience, and Embase. RCTs investigating the effect of NSAIDs on AD or test scores assessing cognitive function in people without AD at baseline were included. Three indicators were MMSE Score, ADAS-cog score, and CDR-sob. 10 studies were included in the present Meta-analysis. Results: For the ADAS-cog score, the pooled effect size was -0.31 with 95% CI -0.06 to 0.02, which was statistically significant (p = 0.03). MMSE score difference, the pooled effect size was -0.06 with 95% CI -0.22 to 0.10, which was statistically insignificant (p-value = 0.47). For the MMSE average score, the pooled effect size was -0.002 with 95% CI -0.03 to 0.07, which was statistically insignificant (p-value = 0.87). For the CDR-sob score difference, the pooled effect size calculated using the random effect model was -0.06 with 95% CI -0.39 to 0.05 which was statistically insignificant (p = 0.14). For CDR-sob average score, the pooled effect size calculated using the random effect model was 0.21 with 95% CI -0.09 to 0.51, which was statistically insignificant (p-value = 0.17). Conclusion: Present Meta-analysis shows that NSAIDs in general are not effective in the treatment of AD. They also have no protective effect against the development of AD on their sustained use.

Non-Steroidal Anti-Inflammatory Drugs as Protective Factor in Alzheimer’s Diseases: A Systematic Review and Meta-Analysis Protocol

Introduction: NSAIDs inhibit COX-2, which is responsible for regulating neurons leading to neurodegeneration in Alzheimer’s disease. Alzheimer’s disease is a neurodegenerative disease affecting the geriatric population, as it affects more than two third cases of dementia in the sphere. Results obtained from experimental and observational studies were unclear regarding the protective role of NSAIDs in AD, therefore this justifies the need for meta-analysis. Methods: Database search was PubMed, Web of Science, and Embase. Experimental studies and Observational studies investigating the effect of NSAIDs on AD. For experimental studies indicators used were MMSE score, ADAS-cog score, CDR-sob score, NPI score, and Hazard ratio. Similarly for Observational studies, Odds Ratio and Relative Risk are used. Results: As this is the study protocol, therefore it is not possible to write the results of the study in the study protocol. There is a total of 06 (MMSE, ADAS-cog, CDR-sob, HR, RR, and OR) indicators used in the study, so 06 results will be obtained showing the pooled effect size which will indicate the use of NSAIDs as a protective factor for Alzheimer’s disease. Discussion: The present systematic review will improve the understanding of the relative efficacies of NSAIDs in AD and possibly guide clinical practices by providing the current best evidence on the efficacy of various regimens of NSAIDs in the management of AD subjects. Conclusion: Conclusion can be drawn only after the final meta-analysis using three study design (RCT, Cohort and Case-control study designs) and six indicators.

Association between the TP53 Arg72Pro Polymorphisms and Gastric Cancer Risk: An Updated Meta-Analysis and Re-Analysis of Systematic Meta-Analyses

Background: A latest Meta-analysis on TP53 Arg72Pro polymorphism with gastric cancer (GC) risk was published in 2015 including 20 literatures, while our study included 43 studies. Moreover, the results of previously published original studies were inconsistent and the credibility of the significant correlation between the statistical results has been ignored. Therefore, an updated Meta-analysis was conducted to further explore these associations. Objective: To explore whether these two gene polymorphisms are related to the risk, clinical manifestations, and pathological features of GC. Methods: We searched several Chinese and English databases. The crude odds ratio (OR) with 95% confidence interval (CI) was used to evaluate the correlation. In addition, false positive reporting probability (FPRP), bayesian false discovery probability (BFDP), and Venice criteria were used to assess the reliability of statistically significant correlation. Results: Overall, the TP53 Arg72Pro polymorphism was related to a significantly increased GC risk (AP vs. AA: OR = 1.12, 95% CI = 1.02 - 1.24;PP + AP vs. AA: OR = 1.12, 95% CI = 1.02 - 1.24;P vs. A: OR = 1.07, 95% CI = 1.00 - 1.15). However, after excluding the low quality and Hardy–Weinberg Disequilibrium (HWD) studies, significant changes were found on the TP53 Arg72Pro polymorphism with GC risk in Caucasians (PP vs. AA: OR = 1.48, 95% CI = 1.01 - 2.16) and non-gastric cancer control groups (PP vs. AP + AA: OR = 1.33, 95% CI = 1.07 - 1.64)). However, the above significant results were considered unreliable after being adjusted with Bayesian error detection probability (BFDP) and false positive reporting probability (FPRP). These unreliable results were confirmed again, and no new reliable results were found in the further sensitivity analysis (only studies that met the quality assessment criteria). Conclusions: After considering the quality of the study and the reliability of the results, this Meta-analysis showed that TP53 codon 72 polymorphisms had no significant correlation with GC risk. Because of various confounding factors, the result that these polymorphisms increase GC risk is more likely to be a false positive result.

Is Escalated Radiation Dose in Definitive Chemoradiotherapy Better for Inoperable Esophageal Carcinoma? A Meta-Analysis and Systematic Review

Purpose: This study aimed to compare the survival benefits between different total radiation doses in definitive chemoradiotherapy (dCRT) for inoperable esophageal carcinoma (EC) based on modern radiotherapy techniques. Methods: A systematic review was performed by searching the databases of PubMed, EMBASE, Cochrane Central Register of Controlled Trials and Web of Science. All studies published prior to November 30, 2022, comparing radiation dose and disease-related outcomes in EC patients. The hazard ratio (HR) and odds ratio (OR) were used to describe the risk of outcomes and toxicities. Results: Seven prospective trials involving 1124EC patients were enrolled for analyses. The results revealed that the effect on overall survival (HR = 0.99, 95% CI = 0.85 - 1.16, P = 0.94), local progression-free survival (HR = 0.83, 95% CI = 0.58 - 1.17, P = 0.29), local regional progression-free survival (HR = 0.94, 95% CI = 0.76 - 1.17, P = 0.61), progression-free survival (HR = 0.90, 95% CI = 0.71 - 1.13, P = 0.35) was similar in the high-dose and standard-dose groups. Additionally, a high radiation dose exhibited a potential disadvantage in respiratory toxicities when compared with a standard dose (4.8% vs 2.2%, OR 2.11, P = 0.06). Conclusions: The efficacy of the HD group (≥60 Gy) and the SD group (approximately 50 Gy) for inoperable local advanced EC was similar. However, the HD group exhibited a high radiation dose exhibited a potential disadvantage in respiratory toxicities when compared with a standard dose. Simultaneously, the final results of several ongoing prospective trials regarding the optimal radiation dose in dCRT are awaited.

Rate of Patient Delay among Students with Pulmonary Tuberculosis in China: A Meta-Analysis

Objective: To systematically review the rate of patient delay of pulmonary tuberculosis (PTB) patients among students in China. Methods: Databases including Web of Science Core Collection, PubMed, The Cochrane Library, CBM, CNKI, VIP, and WANFANG DATA were electronically searched to collect cross-sectional studies on the incidence of delayed consultation in students with PTB in China from January 1, 2000, to November 15, 2022. Two researchers independently screened studies, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed by Stata 16.0 software. Results: In total, 60 cross-sectional studies with 260,707 cases involving 136,701 delayed consultation PTB patients were included. The results of meta-analysis showed that the rate of patient delay was 46.4% (95% CI 44.3% to 48.4%) among students with PTB in China. Results of subgroup analyses showed that: 1) The rates were 46.8% and 50.4% for male and female students, respectively. 2) The rates for the East, Central and West parts of China were 42.3%, 45.6% and 50.5%, respectively. 3) The rates were increased first and then decreased during 2007 to 2020. 4) The rates of students from primary school, junior high school, senior high school and university were 50.3%, 49.8%, 40.7% and 44.9%, respectively. 5) The rates for the Han and the other nationalities were 50.3% and 53.9%, respectively. 6) The rates for local and non-local students were 47.2% and 50.5%, respectively. 7) The rates of patients detected by consultation due to symptoms, recommendation due to symptoms, referral, tracking and healthy physical examination were 50.5%, 51.6%, 46.6%, 55.6% and 16.2%, respectively. 8) The rates of patients with initial PTB and retreatment PTB were 53.1% and 59.6%, respectively. 9) The rates of patients with positive etiology, negative etiology and without etiological results were 55.9%, 47.0% and 51.6%, respectively. 10) The rates of severe and non-severe patients were 59.4% and 52.9%, respectively. Conclusion: The patient delay rate for Chinese students with PTB is generally at a high level. There are substantial differences in the patient delay rate for students with PTB among different genders, regions, study stages, nationalities, household registration types, detection methods, and treatment classifications.

Meta-Analysis of the Clinical Efficacy of Acupuncture in the Treatment of Male Immune Infertility

Objective: Exploring the therapeutic effects of acupuncture for male immune infertility using Meta-analysis. Methods: The literature related to clinical randomized controlled trials (RCTs) on acupuncture for male immune infertility published from the establishment of the database (journal) to 2021 was searched for RR values or OR values and 95% CI as effect indicators. RevMan 5.3 software was applied for meta-analysis. Results: Acupuncture or combination of acupuncture and herbal medicine (hereafter referred to as acupuncture and medicine) or electro-acupuncture, the total effective rate was significantly better than the control group, and the difference was statistically significant [RR = 1.29, 95% CI (1.20, 1.38), p 0.00001];In addition, the efficiency of the combined acupuncture and medicine treatment was better than that of the herbal medicine group alone, and the difference was statistically significant [RR = 1.05, 95%, CI (0.94, 1.16), P = 0.42];The sperm viability in the combined acupuncture and medicine treatment group was significantly better than that in the herbal medicine treatment group alone, and the differences were all statistically significant [MD = 0.04, 95% CI (?0.20, 0.28), P0.74];Sperm forward motion was significantly better in the combination of acupuncture and medicine than in the herbal medicine alone group, and the differences were all statistically significant [MD = 0.66, 95% CI (?0.04, 1.36), P = 0.06];ACP indexes were significantly higher in the combination of acupuncture and medicine than in the herbal medicine alone group, with a statistically significant difference [MD = 20.47, 95% CI (?65.31, 106.25), P = 0.64];The AsAb content in the seminal plasma of either needle medicine or acupuncture was lower than in the homogeneous prednisone group, and the difference was statistically significant [MD = ?7.00, 95% CI (?11.19, ?2.81), P = 0.001];The index of AsAb content in the serum of either needle medicine or acupuncture was lower than that of prednisone group, and the difference was statistically significant [MD = ?5.00, 95% CI (?9.53, ?0.47), P = 0.03]. Conclusion: Based on current evidence, acupuncture is more effective than Western medicine (prednisone) alone in the treatment of male immune infertility, and is more effective when combined with Chinese medicine.

Meta-Analysis Study of the Effects of Yeast Probiotic Supplementation on Milk Production and Energy Corrected Milk of Lactating Dairy Cows

The aim of this study was to use a meta-analytic approach to evaluate the effect of commercially available yeast probiotic “Actisaf®; Sc 47” (Saccharomyces cerevisiae CNCM I-4407) produced and marketed by Phileo by Lesaffre on milk performance in dairy cows. Data from 22 trials including 17 with parallel designs and 5 with cross-over designs were collected, and only data with parallel designs were analyzed. From those trials, 4 are published and 13 are from technical reports. In total, 34 comparisons and 1074 dairy cows met the criteria for inclusion in the final analysis of milk yield (MY). For energy corrected milk (ECM), six trials with 12 comparisons and 476 dairy cows met the criteria for inclusion in the final analysis. Because the data are from different trials with different conditions, the statistical model defined includes the fixed effect of the treatment (with vs. without Actisaf® Sc 47) and the random effect of the trial. The meta-analysis showed a moderate heterogeneity for MY and ECM. The random effect meta-analysis showed an estimated mean difference +1.72 kg/d [95% confidence interval (CI): 1.01 to 2.44] and +2.45 kg/d (95% CI: 1.73 to 3.17) for MY and ECM respectively, in favour of Actisaf® Sc 47. The analysis of data without trials conducted under heat stress conditions showed positive effect of Actisaf® Sc 47. The random effect meta-analysis showed an estimated mean difference of +1.69 kg/d [95% CI: 1.24 to 2.14] and +2.92 kg/d (95% CI: 2.45 to 3.40) for MY and ECM respectively, in favour of Actisaf® Sc 47. These observations provide strong evidence that this commercially available yeast probiotic can significantly improve milk performances of dairy cows under different conditions.

Generativity of Self-Organizing Processes and Their Correlative Description in Terms of a Formal Language of Meta-Ordinal Generative Nature, in the Light of the Maximum Ordinality Principle and the Explicit Solution to the “Three-Body Problem”

The main objective of this paper is to demonstrate that the internal processes of Self-Organizing Systems represent a unique and singular process, characterized by their specific generativity. This process can be modeled using the Maximum Ordinality Principle and its associated formal language, known as the “Incipient” Differential Calculus (IDC).

A Meta-Learning Approach for Aircraft Trajectory Prediction

The aviation industry has seen significant advancements in safety procedures over the past few decades, resulting in a steady decline in aviation deaths worldwide. However, the safety standards in General Aviation (GA) are still lower compared to those in commercial aviation. With the anticipated growth in air travel, there is an imminent need to improve operational safety in GA. One way to improve aircraft and operational safety is through trajectory prediction. Trajectory prediction plays a key role in optimizing air traffic control and improving overall flight safety. This paper proposes a meta-learning approach to predict short- to mid-term trajectories of aircraft using historical real flight data collected from multiple GA aircraft. The proposed solution brings together multiple models to improve prediction accuracy. In this paper, we are combining two models, Random Forest Regression (RFR) and Long Short-term Memory (LSTM), using k-Nearest Neighbors (k-NN), to output the final prediction based on the combined output of the individual models. This approach gives our model an edge over single-model predictions. We present the results of our meta-learner and evaluate its performance against individual models using the Mean Absolute Error (MAE), Absolute Altitude Error (AAE), and Root Mean Squared Error (RMSE) evaluation metrics. The proposed methodology for aircraft trajectory forecasting is discussed in detail, accompanied by a literature review and an overview of the data preprocessing techniques used. The results demonstrate that the proposed meta-learner outperforms individual models in terms of accuracy, providing a more robust and proactive approach to improve operational safety in GA.