bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Role of Oxidative Stress in Autism Spectrum Disorder Pathophysiology, Diagnosis and Treatment
Authors: Kuźniar-Pałka Aleksandra 
Published: January 2025

Autism spectrum disorder is an important health problem with no known single cause. There is a vast number of evidence showing the important role of oxidative stress in that disorder. The article&#039;s authors made the current literature research to summarize knowledge on that topic. In this paper the role of oxidative stress was studied in the context of its influence on pathogenesis, using oxidative stress biomarkers as diagnostic tools and use of antioxidants in ASD treatment. There is growing data on the involvement of oxidative stress in ASD pathogenesis as well as its direct effect and also by its interlay with inflammation and mitochondrial dysfunction. Oxidative stress biomarkers seem to have good potential to be used as diagnostic tools supporting early ASD diagnosis. Antioxidants show good potential in ASD-supportive treatment. In all described fields data support the importance of oxidative stress but also a need for further research.
Nationalisation of agricultural lands and forests in Poland after World War II
Authors: Sopiński Michał 
Published: January 2025

The article discusses how the post-war nationalisation of agricultural lands and forests, and the associated other expropriation activities were a far-reaching consequence of the outbreak of World War II. The article explains the political and historical circumstances of the nationalisation of agricultural lands and forests in Poland after World War II. Special attention was paid to the legal regulation of nationalisation of agricultural land, as well as the nationalisation of forests and forest lands. The conclusion discusses the legality of land nationalisation from the aspect of the legal acts in force at the time. Based on that, we may conclude that the nationalisation of agricultural lands and forests in Poland after World War II, executed by the communists, did not respect the law, particularly in view of the constitutional issue of pre-war Poland.
The Restitution of Agricultural Land During the Political Regime Change and its Effects on Hungarian Property Relations Today
Authors: Csák Csilla , Hornyák Zsófia 
Published: January 2025

In Hungary after World War II, the system of large estates was abolished and private peasant ownership was established. The peasant strata’s desire for land was therefore satisfied within the framework of a micro- and smallholder structure. During the period of collectivisation, the possibility of using peasant land practically disappeared, and the collective use of peasant private property took place within the framework of the producer cooperative system. From the 1960s until the period of the regime change, the cooperative model became dominant in terms of agricultural production. The political regime change of 1989/90 and the associated economic transformation also meant that the system of large-scale cooperative land use was dismantled and lands under cooperative ownership and partly state ownership were privatised. Part of this process was the provision of compensation, which primarily meant state reparation for unjust property deprivations (including land ownership) in the period between 1939 and 1967. This also had negative aspects in terms of the concept of reparations, which did not strengthen the market economy character of agricultural activity and agricultural holdings.
THE EFFECTIVENESS OF REACT STRATEGY IN STEM LEARNING ON THE COMPREHENSION OF 3D GEOMETRIC CONCEPTS
Authors: Huda Moh. Khoridatul , Rohman Ahmad Fiki Fatkur , Setiawan Dwi Candra 
Published: January 2025

The REACT strategy (Relating, Experiencing, Applying, Cooperating, Transferring) is indispensable in STEM education, as it cultivates critical thinking, experiential learning, and practical application, all of which are foundational to effective STEM pedagogy. This research evaluates the effectiveness of the REACT (Relating, Experiencing, Applying, Cooperating, Transferring) strategy with the STEM approach versus traditional learning methods on flat surfaces in shapes, specifically regarding students' comprehension of concepts. The study utilised pre-test and post-test experiments with two groups: an experimental class and a control class - selected randomly through the Randomised Pre-Test Post-Test Control Group Design approach. The research was conducted on grade VIII students of MTsN 2 Kediri. The VIII-A experimental class employed the REACT strategy with the STEM approach, while the VIII-C control class used conventional learning models. The N-Gain Score testing method evaluated the increase in students' comprehension of the mathematical concepts. The findings revealed that the experimental class had an average N-Gain Score of , while the control class had an average score of . The average score for comprehending mathematical concepts for the experimental and control classes was , respectively. The independent sample t-test demonstrated that the experimental class achieved significantly better results than the control class. The student response questionnaires indicated that the REACT learning model received an average score of , categorised as "Good Response." The study concludes that the REACT strategy enhanced students' comprehension of concepts more effectively than conventional learning models.
DESIGN AND IMPLEMENTATION OF E-LKPD USING THE LOK-R MODEL FOR ELECTROMAGNETIC WAVE MATERIAL IN SENIOR HIGH SCHOOL
Authors: Latifah Sri , Wiliyanti Vandan , Sari Intan Permata 
Published: January 2025

This research project analyses the creation of an E-LKPD utilising the LOK-R model, based on the principles of scientific literacy, specifically tailored for physics education. This research is intended to: (1) Get to know the development process, (2) Analyze the feasibility, and (3) Determine whether this physics learning material using LOK-R based on science literacy about Electromagnetic Waves is interesting and attractive, and has been integrated with the independent curriculum. The method used is a 4D development method (Define, Design, Development, and Dissemination) created by Thiagarajan, this research methodology. The limitation of this research is only in the development stage. For media experts and material experts, ways to get feasibility test devices and to measure interest from teachers and twelfth-grade students at 3 schools in total. This research was carried out at State High School 01 Bandar Lampung, Private High School Perintis 2 Bandar Lampung, and State High School 10 Bandar Lampung, and here are the research results: E-LKPD Physics Material Using the LOK-R Model Based on Science Literacy on Electromagnetic Waves integrated with the independent curriculum is very suitable and interesting as well as ready to be material for distance learning and can train students to learn independently.
Green Growth or Economic Trade-offs? Economic Costs of Environmental Degradation in ECOWAS. A New Perspective from Artificial Neural Network and SEM Analysis
Authors: Boateng Seth Acquah , Asare Andy , Cantah William Godfred , Sebu Joshua 
Published: January 2025

Abstract

Environmental degradation creates unfriendly conditions for economic growth and public health, especially in developing regions like West African countries, where fast industrialization increases these risks, along with precarious environmental legislation. The study aims to analyze the direct and indirect relationships between environmental degradation, health expenditure, and economic growth within the ECOWAS region. The research adopted structural equation modelling (SEM) and Artificial Neural Network (ANN) analysis to examine the impact of carbon dioxide emission, nitrous oxide emissions, and air quality levels on economic growth, taking health expenditure as the mediating variable. Results of SEM show that carbon emission; and nitrous oxide emission positively influence the economy, while poor air quality negatively affects it, health expenditure mediates the influence of nitrous oxide emission on economic growth with an indirect effect. However, it has an insignificant mediating effect between carbon emissions and air quality. Also, ANN analysis confirms the SEM results that indicate carbon emission has the highest predictive importance. The study, therefore, recommends increased stringency of environmental regulations in the West African region, investment in clean energies, and health infrastructural improvement as ways through which environmental degradation may be minimized to allow the attainment of economic development sustainably.
JEL: H51, P18, Q51, Q53, Q56
Computational Study on Aluminum Corrosion Inhibitive Potentials of Preferred Thiosemicarbazide Derivatives
Authors: Uzah Terngu T. , Ekpenyong Okon O. , Ioryue Ijah S. , Amitaye Azuka N. 
Published: January 2025

Abstract

Aluminum has been a primary metal relic of cultural history since ancient times. They are still widely used today in many different industrial domains. Aluminum, however, is susceptible to the corrosion process in harsh conditions. Numerous traditional protective inhibitors have been developed to counteract this harmful behavior. Sadly, these preventive inhibitors come with several major side effects, including high costs and negative impacts on the environment and human health. Density functional theory (DFT) evaluations were used to extensively examine the potentiality of the E)-2-(4-methylbenzylidene)hydrazinecarbothioamide (MBHC) and N-phenylhydeazinecarbothioamide (PHC): toward the corrosion inhibition of the aluminum surface. The sulfur and nitrogen atoms over the structures of the compounds under investigation were nucleophilic, as indicated by the electrostatic potential (ESP) analysis results. The molecular orbital theory results demonstrated the superior corrosion inhibitor preference of MBHC over PHC. After identifying the optimal MBHC − Al (111) and PHC − Al (111) complex configurations, Monte Carlo simulations were carried out. Remarkably, the MBHC demonstrated a wider range of competence in the corrosion inhibition process of Al (111) than the PHC, as demonstrated by the adsorption energy values of − 461.73 and − 163.43 eV, respectively. These results offer a basis for the creation of environmentally friendly inhibitors that prevent corrosion on aluminum surfaces.
Analysis of Seismo-ionospheric Anomaly Disturbance Associ-ated with the Mw7.6 Mexico Earthquake on 19 September 2022
Authors: Li Zhen , Tao Zhen , Zhang Jing , Cao Yuan 
Published: January 2025

Abstract

Based on GNSS ionospheric data, this paper detected and investigated the pre-earthquake ionospheric anomalies of the 7.6 magnitude earthquake that occurred in Mexico on September 19, 2022. 10.7 cm solar radio flux (F10.7), sunspot number (SSN), global geomagnetic activity Index (KP) and geomagnetic activity index in equatorial region (DST) are employed to reflect solar and geomagnetic activities, respectively. The result of the sliding quartile range method indicates that the TEC anomaly over the epicenter on 15th day before the earthquake was the most significant, but the geomagnetic activity was abnormal on that day. To further distinguish whether the ionospheric disturbance on 15th day was caused by geomagnetic activity or earthquake, this paper adopts the coherent wavelet to analyze the time-varying relationship between total electron content (TEC) and geomagnetic activity in the time-frequency space. The results show that the correlation between TEC, Kp and Dst is slightly weakened in the low-frequency range due to the enhancement of geomagnetic activity on 15th day, but the phase relationship remained stable. While the strong correlation between TEC, Kp and Dst suddenly disappeared and phase relationship sharply changed after 10th day. This was due to the influence of seismic-ionospheric coupling effect, where the abnormal disturbances in TEC disrupted the pre-existing stable relationship between TEC, Kp, and Dst. Therefore, we conclude that the TEC anomaly on 10th day before the earthquake was the precursor to the Mw7.6 Mexico.
Fusing Dynamics Equation: A Social Opinions Prediction Algorithm with LLM-based Agents
Authors: Yao Junchi , Zhang Hongjie , Ou Jie , Zuo Dingyi , Yang Zheng , Dong Zhicheng 
Published: January 2025

Abstract

In the context where social media emerges as a pivotal platform for social movements and shaping public opinion, accurately simulating and predicting the dynamics of user opinions is of significant importance. Such insights are vital for understanding social phenomena, informing policy decisions, and guiding public opinion. Unfortunately, traditional simulation approaches struggle. This study proposes a groundbreaking solution to address this issue: the Fusing Dynamics Equation-Large Language Model (FDE-LLM) algorithm, which uniquely blends opinion dynamics with an epidemic modeling framework. This innovative approach effectively aligns the actions and evolution of opinions in Large Language Models (LLMs) with the true complexities of the cyber landscape. The FDE-LLM categorizes users into two roles: opinion leaders and followers. The Cellular Automata (CA) model manages opinions guided by LLM role-playing. In contrast, opinion followers are integrated into a dynamic system that combines the CA model with the Susceptible-Infectious-Recovered (SIR) model. This innovative design significantly improves the accuracy of the simulation. Our experiments utilized four authentic datasets from Weibo. The result demonstrates that the FDE-LLM significantly outperforms traditional Agent-Based Modeling (ABM) algorithms and LLM-based algorithms. The result highlights its superior accuracy and interpretability, underscoring its potential to revolutionize the understanding of social media dynamics.
Association between plasma eosinophil count and chronic kidney disease: results from the NHANES 2005-2018 and Mendelian randomization study
Authors: Jiang Yu , Lan Yanli , Jiang Jinhong , Dai Guanmian 
Published: January 2025

Abstract

Background: This investigation seeks to examine the association between plasma eosinophil count(PEC) and the risk of chronic kidney disease (CKD) and related traits such as estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (UACR), additionally elucidating the causal relationship via Mendelian Randomization (MR) analysis. Methods: To evaluate the association between PEC and the risk of CKD and related traits, weighted multivariable-adjusted logistic regression was conducted using data from the NHANES 2005–2018. Survival curve analysis was also employed to examine the relationship between PEC and prognosis in CKD patients. Furthermore, a two-sample MR study leveraged genome-wide association study (GWAS) summary statistics to explore the causal links between PEC and CKD, eGFR, and UACR. The primary inverse variance weighted (IVW) method, alongside supplementary MR techniques, was used to verify these causal associations. Pleiotropy and heterogeneity analyses were performed to ensure the robustness of the results. Results: A total of 36,291 participants were included in the NHANES observational study. Weighted multivariable-adjusted logistic regression indicated that PEC was significantly associated with a higher risk of CKD (odds ratio [OR] = 1.654; 95% confidence interval [CI], 1.413–1.936). PEC also showed a strong positive correlation with both lower eGFR and elevated UACR (≥ 30 mg/g). Kaplan-Meier survival analysis revealed that higher eosinophil counts were linked to worse long-term survival in CKD patients. MR analyses further supported a causal link between genetically predicted PEC and increased CKD risk (odds ratio [OR], 1.095 [95% CI, 1.026–1.169]; P = 0.006). A causal relationship between PEC and eGFR (OR, 0.991 [95% CI, 0.985–0.996]; P = 0.001) was also observed. However, no significant association was identified between PEC and UACR (OR, 1.044 [95% CI, 0.906–1.204]; P = 0.547). Pleiotropy and heterogeneity analyses were conducted to confirm the robustness of the findings. Conclusion: PEC shows a significant association with CKD and reduced eGFR, suggesting a potential causal role in their development. While PEC is also significantly linked to UACR, the MR analysis found no evidence of a causal relationship between PEC and UACR.
A risk model for prediction of residual back pain after percutaneous kyphoplasty in patients with osteoporotic vertebral compression fracture
Authors: Rong Yi , Zhu Yihua , Yu Hao , Yin Heng , Hua Zhen , Shao Yang , Li Shaoshuo , Ye Jiapeng , Guo Yang , Ma Yong , Wang Lining , Wang Jianwei 
Published: January 2025

Abstract

Background
Severe residual back pain (RBP) after percutaneous kyphoplasty (PKP) significantly impacts postoperative prognosis and quality of life in patients. This study aims to identify the risk factors for RBP in patients with osteoporotic vertebral compression fractures (OVCF) following PKP, and to establish and validate a risk prediction model for RBP occurrence after PKP, so as to deepen our understanding of the risk of RBP after PKP, and improve clinical management strategies.
Methods
647 patients with OVCF who had PKP surgery from 2018 to 2020 were retrospectively analyzed. 569 cases were used for training the model, and 78 for external validation. The study focused on RBP occurrence after PKP. A nomogram for risk prediction was constructed and the model was tested for accuracy and clinical applicability. Additionally, bootstrap sampling (1000 times) was used for internal validation.
Results
Based on the model training set, multivariate logistic regression analysis showed that relatively young age, bone mineral density, history of trauma, low back fascia edema, high platelet distribution width value, low serum chlorine value, and no recovery of middle vertebral height were independent risk factors for RBP after PKP (P ≤ 0.05). Calibration curves of the model training and validation sets were between the standard curve and the acceptable line. The Hosmer-Lemeshow goodness-of-fit test indicated that the model training and validation sets were χ2 = 6.354 and χ2 = 7.240, respectively (P = 0.608 and 0.511). The clinical decision-making curve showed that the threshold probability interval of the net benefit value of the model was 6.3–82.3% for the training set, 8.7–55.6%, and 72.5–81.3% for the validation set.
Conclusion
Each independent risk factor and the combined model had good predictive ability, while the combined model had a more vital predictive ability. The constructed nomogram model for predicting RBP risk showed good diagnostic efficacy, accuracy, and clinical applicability and provided a scientific rationale and guidance for clinical prevention and treatment.
Trial registration
Clinical trianumber not applicable Study design Retrospective casecontrol study.
Physiological, anatomical, and transcriptomic analyses reveal the potential mechanism of resistance of Akebia trifoliata to acid rain stress and mitigation effects of curcumin
Authors: Tao Xingmei , Wang Kai , Bi Xiaoxu , Zhang Yongfu 
Published: January 2025

Abstract

Acid rain is a global ecological issue severely threatening crop growth. Curcumin (CUR), a natural antioxidant, can enhance the tolerance of plants to abiotic stresses via physiological and molecular modes. As both medicine and food, Akebia trifoliata exhibits high economic value. The resistance mechanism of A. trifoliata to acid rain and mitigation effects of CUR remain unclear. Therefore, in this study, we investigated the plant growth, physiological characteristics of leaves, anatomical structure, and gene expression of A. trifoliata under acid rain stress before and after treatment with exogenous CUR. The results indicated that under acid rain stress, the contents of chlorophyll a, chlorophyll b, total chlorophyll, and starch and thicknesses of upper and lower epidermis of leaves decreased by 58.16%, 77.88%, 64.77%, 63.85%, 58.93%, and 35.57%, respectively. Moreover, MDA, soluble sugar, soluble protein, and proline contents and production rate of oxygen free radicals increased by 82.55%, 43.20%, 44.55%, 64.40% and 345.77%, respectively. This suggested that acid rain stress affected the growth and development of A. trifoliata. A. trifoliata resisted acid rain stress by increasing SOD and CAT activities; thickness of leaf, palisade tissue, and spongy tissue; and ratio of palisade/spongy tissue. However, exogenous CUR could effectively facilitate plant growth, maintain integrity of anatomical structure of leaf, and relieve the damages to A. trifoliata caused by acid rain stress, and 50 µmol/L (CUR50) was the most optimal concentration. Transcriptomic analysis revealed that CUR0 vs Control, CUR50 vs Control, and CUR50 vs CUR0 had 2978, 1760, and 323 DEGs, respectively. KEGG pathway enrichment analysis revealed that these DEGs were involved in eight pathways, among which protein processing in endoplasmic reticulum, plant hormone signal transduction, phenylpropanoid biosynthesis, and starch and sucrose metabolism were the key metabolic pathways via which CUR mitigated the effects of acid rain stress. This study revealed the potential mechanism of response of A. trifoliata to acid rain stress and mitigation effects of exogenous CUR via physiological, anatomical, and transcriptomic analyses, thereby providing theoretical references for phytoremediation in the acid rain zone.
Effect of Laser Energy Consumption on Early-Stage LUTS after HoLEP: Comparison of Symptom Improvements between Low and High Energy Consumed Procedures
Authors: Liu Ke , Zong Youlong , Xiao Ruotao , Tang Shiying , Ye Jianfei , Zhao Lei , Xiao Chunlei , Zhang Shudong 
Published: January 2025

Abstract

Purpose
To compare early-stage lower urinary tract symptoms following low and high energy consumed holmium laser enucleation of the prostate (HoLEP).
Methods
Eighty patients who underwent HoLEP at our hospital between May 2020 and December 2021 were retrospectively evaluated. All procedures were performed applying a single laser device with the same power settings. Patients were divided equally into two groups (low vs. high) according to total laser energy (TLE), L/P ratio (TLE/resected prostate weight), and laser rate (TLE/enucleation time), successively. The follow-up points included 1-week, 2-week, 3-week, 1-month, and 3-month, postoperatively. The International Prostate Symptom Score (IPSS) and the subscores of storage (IPSS-S) and voiding (IPSS-V) were assessed and compared between the two groups. Urinary incontinence and complications were also compared between the groups.
Results
The mean baseline IPSS, IPSS-S, and IPSS-V scores were comparable between the groups. The 1-week, 3-week, and 3-month IPSS-V in the low-TLE group were significantly higher than that in high-TLE group (5.23 ± 4.5vs3.15 ± 4.36, P = 0.034; 3.88 ± 3.53vs1.43 ± 1.97, P<0.001, 3.30 ± 4.68vs1.78 ± 3.22, P = 0.019, respectively). No significant differences between the groups were revealed when TLE was adjusted for enucleation weight (L/P ratio) or enucleation time (laser rate). There were also no significant differences between the groups regarding urinary incontinence and complications at each follow-up point.
Conclusion
Low and high energy consumption have similar effects on symptoms in the early stages after HoLEP. Higher laser energy does not result in more severe postoperative storage symptoms.