bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the role and mechanism of rheumatoid arthritis-related pathway in squamous lung cancer based on Mendelian randomization analysis
Authors: Dai Jiaxing , Huang Hong , Zhang Huanghui , Yang Bing , Tang Dongxin 
Published: March 2024

Abstract
Objective：Rheumatoid arthritis (RA) is a chronic, autoimmune inflammatory joint disease. Squamous cell carcinoma of the lung (LUSC) is a malignant tumor of non-small cell lung cancer. Studies have shown a complex relationship between rheumatoid arthritis and lung cancer. This study aimed to investigate the role and mechanism of rheumatoid arthritis-related pathways in lung squamous carcinoma using bioinformatics methods combined with Mendelian randomization analysis.
Methods: Download RA gene expression profile data set GSE1919 from GEO database, screen differential genes using GEO 2 R tool, and download lung gene expression profile data from TCGA database, and screen differential genes by Rstudio software. GO / KEGG functional enrichment analysis yielded RA signaling pathway genes. After downloading RA signaling pathway SNP data as exposure factor and lung SNP data for squamous cell carcinoma as outcome factor, we used two-sample Mendelian randomization analysis to determine the causal relationship between RA signaling pathway and lung squamous cell carcinoma. In addition, gene-drug regulatory network, ceRNA regulatory network, immune cell infiltration analysis and validation group difference analysis were constructed.
Results: We found 188 genes codifferentially expressed between RA and LUSC. Results of GO / KEGG functional enrichment analysis showed that these differential genes were mainly enriched in the rheumatoid arthritis signaling pathway. The results of Mendelian randomization analysis showed that enhanced activity of RA signaling pathway was associated with a reduced risk of lung squamous carcinoma.
Conclusion: The study found that the enhanced activity of rheumatoid arthritis signaling pathway may be associated with the reduced risk of breast cancer, which provides new ideas and vision for studying the mechanism and treatment of lung squamous cell carcinoma.
Characteristics of trauma in patients with general accidents and patients who attempted suicide - trauma mechanism, injury site, and severity: A single-center study
Authors: Hyun Jiyoung , Son Yae Jun , Kim SuHyun , Bae Keum Seok , Chung Jae Sik , Park Il Hwan , Choi Young Un 
Published: March 2024

Abstract

Background: Among patients with trauma, those with self-harm show different characteristics, such as frequency, damage area, and degree of trauma, from those who experienced general accidents. In cases of severe injuries, it is difficult to conduct accurate imaging tests during initial treatment, making it difficult to predict the exact area of ​​damage and make decisions for definitive care. Identifying correlations betweendamage area and degree can help predict the damage area to aid in treatment. We aimed to identify the differences in characteristics between patients who experienced general accidents and those who attempted suicide.
We retrospectively reviewed the data of patients with trauma transferred to the emergency department of our hospital from January 1, 2015, to December 31, 2023. Age, sex, trauma mechanism, intention of suicide, Abbreviated Injury Scale (AIS) score, injury severityscore (ISS),and height for fall were analyzed in 10,180 patients. Intentionality was divided into accidentandself-harm, and the characteristics of the two groups were analyzed and compared.
Results: The accident group follows the characteristics of the entire group, but in the self-harm group, falls (41.0%) and stab or cut wounds(48.9%) are overwhelmingly high, and the average age of the self-harm group was younger than that in the accident group by 10 years.In the accident fall group, the average fall height was 4.14 m, and the ISS was 15.5 points, while the average height of the self-harmgroup was 10.8 m, and ISS was 18.6 points. In the self-harm group, people in their teens and 20s mainly attempted to fall, and people in their 40s and 50s mainly attempted self-harm with knives.
Conclusion: In this study, we confirmed the relationship between the injury mechanism and AIS in patients with trauma, and compared the self-harm group and the accident group, confirming that the damaged area and degree of damage were different even if the mechanism was the same. In the self-harm group, falls and stab or cut wounds are common, and in the case of falls, there is a characteristic difference from the general accident group in terms of height, severity, and damaged area. It is expected that understanding the characteristics of patients who self-harmed can help initial treatment in the emergency room, reduce missed injuries, and establish an appropriate diagnosis and treatment plan.
Cluster Analysis as a Basis for the Development of an Application Assessing the Reliability of Transport Infrastructure
Authors: Trojanowski Piotr , Husár Jozef , Hrehová Stella , Knapčíková Lucia 
Published: March 2024

Abstract

Increased demand for transport services and increased mobility of citizens can lead to a reduction in the level of reliability of transport systems. This in turn increases the demand for ways to assess the reliability of road infrastructure by both transport companies and individual users. The article presents the substantive basis of an application used to determine the reliability of transport infrastructure. Our approach was based on grouping information into clusters – based on the author's proprietary clustering method. Its basis is the detailed analysis of the road infrastructure in terms of errors occurring on it, divided into conceptual, design and operational errors. The methodology consists of three stages of clustering (1) creating a database of sections with assigned errors, (2) determining the initial clusters, (3) creating a final database of clusters, and then assessing the reliability of the road infrastructure of the transport system on their basis. The assumption is that the application will remain open-ended – i.e. the database will be developed by users. The proposed methodology was verified on the example of the selected route in Poland (between Kalisz and Szczecin). Based on the results obtained during the experiment on the selected route, errors in the road infrastructure were determined. This, in turn, allowed us to find that there are a number of errors in the road infrastructure, including errors with a high frequency of occurrence i.e. the so-called permanent errors, which further confirms the need to create an application to assess the reliability of the road infrastructure.
Green Growth or Red Tape? Unraveling the Interconnected Effects of Stringent Environmental Regulations and Bribery on Enterprise Growth
Authors: Mazhar Ummad , Ullah Naimat 
Published: March 2024

Abstract

We study the relationship between environmental regulations and firm performance using World Bank Enterprise Surveys data for manufacturing firms in 142 countries covering 2007 to 2017 period. Existing research offers mix findings on the link and does not consider the role of institutional weaknesses, such as corruption, in the effectiveness of these regulations. To address this gap, we analyze the conditional effects of environmental regulations on firm growth across economies with varying perceptions of corruption. Our findings support the ‘strong’ version of the Porter Hypothesis, suggesting that stricter environmental regulations significantly enhance firm growth. However, when combined with high levels of bribery, these regulations have an adverse effect. The robustness of these results is confirmed by employing various statistical techniques (e.g., IV-GMM) and alternative model specifications.
Non-Diabetic Nephropathy in Diabetic Patients: Incidence, HbA1c Variability and Other Predictive Factors, and Implications
Authors: Demirelli Bulent , Boztepe Burcu , Senol Elif Gulcan , Boynuegri Basak , Bildaci Yelda Deligoz , Gumrukcu Gulistan , Canbakan Mustafa , Ogutmen Melike Betul 
Published: March 2024

Abstract

Purpose:Diabetes Mellitus (DM) is the leading cause of chronic kidney disease (CKD) in the population. In patients with diabetes mellitus, the incidence of non-diabetic nephropathy (NDNP) has been estimated to range from 3% to 82.9%. Personal judgment is frequently employed while deciding whether or not to do a kidney biopsy on diabetic patients. NDNP alters the prognosis and course of treatment for people with DM. In our study, we examined the incidence of NDNP concurrent with the progression of diabetes mellitus, as well as the laboratory and clinical indicators that could be utilized to forecast it.Methods:A retrospective analysis of 76 diabetic patients who underwent KB was conducted. Based on the pathological diagnoses of these patients, they were categorized as DNP (diabetic nephropathy) or NDNP. The definition of HbA1C variability was determined by calculating the mean HbA1C and the average value of the HbA1C measurements, as well as the standard deviation (SD) for each participant.Results:NDNP was detected in 50% of 76 patients. Among patients with NDNP, 36.8% had focal segmental glomerulosclerosis (FSGS), 23.6% had membranous glomerulonephritis, and 7.8% had IgA nephritis. The NDNP group exhibited significantly higher rates of female gender, absence of diabetic retinopathy, shorter time to diagnosis of diabetes mellitus, chronic kidney disease, and proteinuria, less intensive medication for diabetes mellitus, presence of hematuria and leukociduria, serological marker positivity, and non-HbA1C variability. Risk factors for predicting non-diabetic nephropathy, as determined by multivariate analysis, included female gender, the absence of diabetic retinopathy, non-HbA1c variability and a positive serological test.Conclusion:In this study, a significant number of diabetic patients with chronic kidney disease were diagnosed with NDNP. Identifying these patients allows for treatment of the specific underlying disease. Factors such as the absence of DR, non-HbA1c variability, female gender, and serological test positivity can predict NDNP and guide the clinician's decision on kidney biopsy. Further prospective studies are warranted to validate the efficacy of potential predictive factors like HbA1c variability.
Quantum metrology with superposition of GHZ state and Twin-Fock state
Authors: Li Yan , Ren Zhihong 
Published: March 2024

Abstract

We study the metrological performance of the superposition of Greenberger-Horne-Zeilinger state and Twin Fock state (SGT) in quantum phase estimation. The analytical quantum Fisher information (QFI) of an Nqubit SGT state in noninteracting environment has been derived and with the increasing ratio β in SGT state it emerges a turning point at βt = q 1 − 1 N · q2 3 , where the smallest QFI FQ = (N 2 + 2N)/3 is achieved. Interestingly, we find the 4-qubit SGT state performs better than TF state in all ratio region and further achieves the Heisenberg limit at β = √ 3/2. Working in the Mach-Zehnder interferometry, we have provided the optimal metrology schemes saturated by quantum CRLB for all kinds of SGT states and found the same βt also existed in the selection of phase generator and measured parity operator. Moreover, we have considered the decoherence effects and with the increasing decay the QFI in amplitude damping and phase damping channel decreases to the number of qubits involved, while it decreases to zero in depolarizing channel. Specially, the 4-qubit SGT state of β = √ 3/2 is found to perform better than GHZ state in phase damping channel. Our work enriches the metrological useful quantum resources.
Structural Health Assessment of overhead water tank - a case study
Authors: Shahanawaz G. , Nirupama PN , Raghavendra T. 
Published: March 2024

Abstract

Structural Health Assessment (SHA) is a paramount importance in many different professions and industries, such as civil and aviation, where a minute detail is examined. In order to evaluate the state and performance of structure overtime modern sensors, health assessing tools and gadgets, data procuring devices, storage clouds and many more are used. Structure deterioration or collapse can have severe effects, such as reduced strength of structure, safety hazards, revenue losses, and environmental and social interruptions. To study the importance of Structural Health Assessment (SHA) thoroughly in this research paper, an old structure situated at RV college of Engineering, Bengaluru, INDIA was considered for the study. Using health assessment instruments, the structure's safety is evaluated. Initially, a visual inspection was carried out to check the condition of the structure and the onsite dimension of the tank was measured for modelling. The structure was deteriorated in which one of the columns has experienced a crack. The water tank was tested with few Non-destructive tests to check the details of material, composition, health condition. With these details obtained, the structure was seismically modelled using an analysis software ETABS and checked its safety for the measured parameters by providing load acting on the structure in the onsite condition. The results showed that the structure was not safe for zone 2 seismic analysis and all the 4 columns failed the safety check for the available dimension of column. However, the increase in the dimension of column more than 25% of original dimension showed a good response in which all the column were capable of taking the load without any failure.
An Improved Unscented Kalman Filter Algorithm for Dynamic Systems Parameters Estimation
Authors: doroudi aref , mohseni adel , Karrari mehdi 
Published: March 2024

Abstract

The high capabilities of unscented Kalman filter (UKF) for estimating the state variables of a dynamic system have led to their use for parameter estimation as well. In order to use the UKF to estimate the unknown parameters of a dynamic system, the parameters must be assumed to be in the form of virtual state variables. This paper first shows that this assumption causes some serious challenges. Then, trying to solve this problem, a modified UKF algorithm will be presented. Eventually, using the proposed algorithm, the parameters of a power plant turbine-governor system as a typical dynamic system are estimated and the efficacy of the method is investigated. The results show that the proposed method has good performance and is superior to the conventional algorithm. Purpose – This paper proposes a modified UKF algorithm to estimate the parameters of a dynamic system Design/methodology/approach – In this paper, by changing the point of view to system modeling, an improved version of the UKF-based method was presented. In the proposed version of the UKF algorithm, unlike the traditional one, the whole of the measurement signal samples is used as input in each stage of the estimation process. By doing this, throughout the entire simulation time i.e. within the entire time in which the measured signals exist, the unknown parameters are considered constant. Findings – The effectiveness of the proposed method is demonstrated through an illustrative example in parameter estimation of a TGOV1 Turbine-governor system as a case study. The proposed approach overcomes the shortcomings of the conventional method and shows high efficiency. It can be a useful substitute for the conventional UKF method. Originality/value – The proposed method is an evolutionary method whose evolution principles do not random behavior. It is based on Kalman filter rules and relations and enjoys all the advantages of this filter. It looks similar to a smoothing approach whose practical result is to filter out (in the mean sense) estimates with little physical meaning that normally arise when the number of state-variables is increased, that ultimately might lead the filter to diverge.
Feasibility and Effects of High-Intensity Interval Training in Older Adults with Mild to Moderate Depressive Symptoms: A Pilot Cluster-Randomized Controlled Trial
Authors: Duan Yanping , Wang Yanping , Liang Wei , Wong Heung-Sang , Baker Julien Steven , Yang Shuyan 
Published: March 2024

Abstract

Background and aims:
Older adults with mild-to-moderate depressive symptoms (MMDS) are at high risk to develop severe depression along with mortality and disability. The aim of this study was to investigate the feasibility and effects of high intensity interval training (HIIT) in older adults with MMDS.
Methods
Three elderly centers involving 24 older adults with MMDS were randomized into: 1) HIIT (n = 8); 2) moderate-intensity continuous training (Baduanjin Qigong) (MICT-BDJ) (n = 8); or 3) recreation workshop (RW) control (n = 8) for a 16-week (32 session) intervention. Feasibility was assessed using retention rate, session attendance rate, exercise intensity adherence, acceptability, and safety. Self-reported depressive symptoms and objectively measured physical fitness (PF) were assessed at baseline and post-intervention.
Results
20 participants completed data collection twice. The retention rate was 87.5% (7/8), 87.5% (7/8), 75% (6/8) for HIIT, MICT-BDJ, and RW, respectively. 87.5% (7/8) of HIIT participants completed at least 75% of exercise sessions. 81.4% of HIIT participants achieved the pre-designed intensity (≥ 80% maximum heart rate) during the high-intensity intervals. All HIIT (7/7) participants were satisfied with their group allocation. More HIIT (6/7) than MICT-BDJ (5/7) participants found the exercise enjoyable. Two mild adverse events were reported in the HIIT group. HIIT improved depressive symptoms more than MICT-BDJ (d = -1.02) and RW (d = -1.32). Both HIIT (d = 1.26) and MICT-BDJ (d = 1.39) improved PF more than RW.
Conclusion
HIIT was feasible and effective in improving the depressive symptoms and PF for older adults with MMD.
Trial registration:
This study was registered on the ClinicalTrials Registry (NCT06014294).
Decoding the Health Matrix: The Interplay of Health Systems, International Health Regulations (IHR), Universal Health Coverage (UHC), and Health-related Sustainable Development Goals (SDGs)
Authors: Lee Yuri , Lee Sieun , Macaraeg Emmanuel C. , Malabana Meyan Rose V. , Park Kidong 
Published: March 2024

Abstract

Background
The COVID-19 pandemic highlighted the importance of strong health systems and raised questions about achieving Universal Health Coverage (UHC) and Sustainable Development Goals (SDGs). This study explores the connections between Health Professional Density (HPD), International Health Regulation (IHR) core capacities, UHC, and SDGs, it investigates how these elements interact, proposing that higher HPD and compliance with IHR can significantly impact UHC and SDG achievement. Through statistical analysis, the study aims to clarify these relationships, contributing to the understanding of global health dynamics and informing policy decisions.
Methods
This study employed a quantitative analysis of data from 194 countries to investigate the interrelations among International Health Regulations (IHR) core capacities, health system strengthening, Universal Health Coverage Index (UHCSCI), and the Sustainable Development Goals (SDG) Index. Utilizing WHO reports and online databases, the study concentrated on four primary variables: Health Professional Density (HPD), IHR compliance score, UHCSCI, and SDG Index Score. Linear regression and a serial mediation model were applied for statistical evaluation, facilitated by SPSS software, to elucidate the dynamics between these global health indicators.
Results
Our analysis uncovered strong positive relationships between Health Professional Density (HPD), International Health Regulation (IHR) compliance, Universal Health Coverage (UHC) service coverage, and sustainable Development Goals (SDG) performance. Key findings include the significant impact of higher HPD on better IHR compliance and wider UHC service coverage, which in turn correlate with improved SDG outcomes. This highlights the critical role of health professional availability and international health regulation adherence in enhancing global health and achieving sustainable development objectives.
Conclusions
This study confirms the significant links between Health professional Density (HPD), International Health Regulation (IHR) compliance, Universal Health Coverage (UHC) service coverage, and Sustainable Development Goals (SDGs). Using a serial mediation model. It shows a clear progression from PHD to improved SDG outcomes via better IHR compliance and UHC coverage. Despite potential limitations like information bias, the research provides valuable insights for policymakers and healthcare professionals. It suggests that enhancing HPD and IHR compliance can directly contribute to achieving UHC and SDG targets, offering a roadmap for addressing global health challenges and promoting sustainable health development.
Efficient agroforestry system using fiber grow bag of medicinal plant, Asparagus cochinchinensis (Lour.) Merr
Authors: Park Kwan Been , Yong Seong Hyeon , Kim Do Hyeon , Cha Seung A , Lee Ji Hyun , Kim Seon A , Sim Seon Jeong , Choi Myung Suk 
Published: March 2024

Abstract

Forest cultivation of medicinal plants is environmentally friendly, but selecting the optimal cultivation site is difficult and it is necessary to overcome competition with weeds. Fiber growth bags are pots made of non-woven fabric that are light, inexpensive, and have excellent drainage properties. In this study, we investigated the optimal conditions for forest cultivation of Asparagus cochinchinensis using fiber growth bags. The soil temperature of the fiber growth bag was not significantly different from the soil temperature of the experimental site. The survival rate of the above-ground part was highest in large fiber growth pockets, and the growth of the underground part also showed differences depending on the size of the fiber growth pocket. The above-ground growth of A. cochinchinensis did not show significant differences depending on planting density. Planting under conifers was suitable in terms of above-ground growth. Above-ground shoot growth was higher when planted on a northern slope than on a southern slope. The photosynthetic rate of A. cochinchinensis was slightly lower than that of other wild plants. The maximum quantum yield was over 0.8, confirming that there were no problems with photosynthetic growth during forest cultivation using fiber growth bags. The content of asparagine, an important bioactive substance, in A. cochinchinensis was approximately 9.9 times higher than that grown on farms. In other words, in the case of A. cochinchinensis forest cultivation, the production method using fiber growth bags is an excellent production method and is considered to be apply to other wild vegetable cultivation.
Merger Simulation in Second-Score Auctions: A Nested Logit Model
Authors: De Stefano Martino , Moresi Serge 
Published: March 2024

Abstract

In several recent merger investigations involving companies competing through bidding, economists have used second-score auction models. The standard application of the model makes a “flat logit” assumption, which has the strong implication that business diversion from one bidder to the other rival bidders is proportional to the rivals’ shares (or win probabilities). We show how to simulate merger effects under a more general “nested logit” assumption, which allows for diversion to be more than proportional to shares for bidders in the same nest, and less than proportional to shares for bidders in different nests. We show how to apply the framework to the 2012 acquisition of Power Reviews by Bazaarvoice, which was challenged by the U.S Department of Justice.