bluuebunny/crossref_metadata_2025_split huggingface dataset:
EFFECT OF CHINESE MEDICAL HERBS- BURN LINIMENT ON DEEP SECOND DEGREE BURN IN RATS
Authors: Wang Xiong , Zhao Si Qian , Zhao Li Chao , Guo Hao , Peng Wei Si , Wu Hu Jin 
Published: June 2023

Background: Burn Liniment (BL) is a popular traditional Chinese medicine formula consisting five herbal medicines (Flos Lonicerae, Rhizoma Polygoni Cuspidati, Pericarpium Granati,Terminalia chebula Retz. and Galla Chinensis), that has been used in China for centuries to cure burn. This study investigated the healing effect of BL on deep second degree burn wounds in rats.
Materials and methods: The animals were divided into four groups including control group, model group,1% silver sulfadiazine (SSD) group and BL group. On days 0,3,7,14 and 21,animal weight, wound area as well as histo-pathological observations of the skin were evaluated in different groups. Serum anti-intercellular adhesion molecule 1(ICAM-1), IL-10 levels and myeloperoxidase (MPO) activity were measured on the 21st day. HPLC chromatography of BL was prepared and concentrations of active constituents were determined. Antibacterial test and toxicological test were also performed.
Results: The average wound area of BL treatment group was also significantly smaller than model control rats on days 14 and 21. Serum anti-intercellular adhesion molecule 1(ICAM-1) levels and myeloperoxidase (MPO) activity of BL group decreased significantly than in model rats on day 21 while IL-10 level of BL group increased remarkably than in model rats on the 21st day, showing that BL has strong anti-inflammatory activity on burned rats. The histological studies indicated that inflammatory cells disappeared significantly and were replaced by new granulation tissue, and epithelialization progressed quickly and was treated with BL on the 21st day. Meanwhile,
HPLC chromatography of BL was prepared and concentration of Chlorogenic acid, Polydatin and Gallic acid from BL were determined. Antibacterial test revealed that the MIC of BL on Staphyloccocus aureus, Pseudomonas aeruginosa and Escherichia coli were 1.56, 6.25 and 1.56 mg•mL-1 respectively. Toxicological test showed that BL does not induce skin irritation or sensitivity signs and has no acute toxicity reaction.
Conclusions: Our study revealed that BL could enhance cutaneous burn wound healing effectively. It also showed strong anti-inflammatory and antibacterial activity in rats.
NEURO-PROTECTIVE EFFECTS OF CROCIN ON BRAIN AND CEREBELLUM TISSUES IN DIABETIC RATS
Authors: Altinoz Eyup , Oner Zulal , Elbe Hulya , Vardi Nigar 
Published: June 2023

Background: Increase in free oxygen radicals and the disruption of defense system make the neurons and astrocytes more sensitive against oxidative damage.
Materials and Methods: Rats were divided into three groups containing 10, rats in each group namely: control (C) group, Diabetes Mellitus (DM) group, and Diabetes Mellitus + crocin (DM+crocin) group. Tissue samples were processed by routine histological and biochemical procedures. The sections were stained with Hematoxylen-eosin. Malondialdehyde (MDA), glutathione (GSH), blood glucose, HbA1c levels and xanthine oxidase (XO) activities were assayed.
Results: The histological appearence of the cerebrum and cerebellum were normal in the control group. DM group showed some histopathological changes including congestion, perivascular and perineuronal edema in cerebrum. In DM + crocin group, histopathological changes in cerebrum and cerebellum markedly reduced. MDA level and XO activities increased significantly in DM group (P
Implementasi Nilai-Nilai Islam dalam Pendidikan Jasmani dan Olahraga untuk Membentuk Karakter Ulul Albab
Authors: Hasnah Sitti , Susanto Nugroho , Syahrudin Syafruddin , Solehuddin Moh. , Yuniarti Elsa , Irawan Irawan 
Published: June 2023

Penelitian ini bertujuan untuk menganalisis dan mendiskusikan implementasi nilai-nilai Islam dalam pendidikan jasmani dan olahraga untuk membentuk karakter Ulul Albab. Metode yang digunakan dalam penelitian ini adalah studi literatur dengan mengumpulkan dan menganalisis literatur yang terkait dengan implementasi nilai-nilai Islam dalam pendidikan jasmani dan olahraga serta pembentukan karakter Ulul Albab. Hasil penelitian menunjukkan bahwa pendidikan jasmani dan olahraga dapat menjadi sarana efektif dalam membentuk karakter Ulul Albab dengan mengintegrasikan nilai-nilai Islam dalam setiap kegiatan olahraga. Nilai-nilai Islam seperti kejujuran, disiplin, kerja keras, dan tanggung jawab dapat diterapkan dalam kegiatan olahraga sebagai sarana untuk membangun karakter yang kuat. Dengan demikian, implementasi nilai-nilai Islam dalam pendidikan jasmani dan olahraga dapat menjadi alternatif strategi dalam membentuk karakter Ulul Albab yang memiliki moralitas dan etika Islam yang baik. Kesimpulannya, pentingnya implementasi nilai-nilai Islam dalam pendidikan jasmani dan olahraga sebagai salah satu upaya untuk membentuk karakter Ulul Albab yang berkualitas dan bermoral.
Keywords: Nilai-Nilai Islam, Pendidikan Jasmani, Olahraga, Ulul Albab
Linearity of the position of prime numbers. The order of prime and
composite numbers
Authors: Berezowski Marek 
Published: June 2023

Abstract
In this paper it was shown that all prime numbers lie on 96 half-lines. At the same time,
it was shown that if a given number does not lie on any of the above half-lines, then it is a
composite number. A corresponding linear mathematical relationship was also derived and it
was shown that all prime numbers must satisfy it. If a given number does not satisfy the above
dependence, then it is a composite number. One linear equation and 8 numbers are enough to
carry out all of the above-mentioned analyses. In addition, the astonishing cyclical nature of the
occurrence of composite numbers in the set of natural numbers has been demonstrated.
Cognitive and physical age-gaps in relation to mild cognitive impairment and behavioral phenotypes
Authors: Yu Junhong , Ng Ted Kheng Siang , Mahendran Rathi 
Published: June 2023

Abstract

We can study how fast our biological aging clocks tick by calculating the difference (i.e., age-gaps) between machine learning estimations of biological age and chronological age. While this approach has been increasingly used to study various aspects of aging, few had applied this approach to study cognitive and physical age-gaps; not much is known about the behavioral and neurocognitive factors associated with these age-gaps. In the present study, we examined these age-gaps in relation to behavioral phenotypes and mild cognitive impairment (MCI) among community-dwelling older adults. Participants (N=822, Agemean=67.6) were partitioned into equally-sized training and testing samples. Cognitive and physical age-prediction models were fitted using nine cognitive and eight physical fitness test scores, respectively, within the training samples, and subsequently used to estimate cognitive and physical age-gaps for each subject in the testing sample. These age-gaps were then compared among those with and without MCI, and correlated with 17 behavioral phenotypes in the domains of lifestyle, well-being, and attitudes. Across 5,000 random train-test split iterations, we showed that older cognitive age-gaps were significantly associated with MCI (versus cognitively normal) and worse outcomes across several well-being and attitude-related measures. Both age-gaps were also significantly correlated with each other. These results suggest accelerated cognitive and physical aging were linked to worse well-being and more negative attitudes about the self and others, and reinforce the link between cognitive and physical aging. Importantly, we have also validated the use of cognitive age-gaps in the diagnosis of MCI.
The effect of UV 365 /Fenton process on the removal of gaseous ethylbenzene in the bubble column reactor
Authors: Wang Yan , Sun Yanchen , Wang Zhen , Kong Qingduan , Wu Bo , Wan Junfeng , Guo Weiwei 
Published: June 2023

Abstract
As typical volatile organic compounds (VOCs) – gaseous ethylbenzene had adverse effect on human health and ecology, an effective degradation process was highly desirable. The UV365/Fenton process was first selected to remove gaseous ethylbenzene in the bubble column reactor. The effect of main parameters on the removal efficiency were systematically studied, such as H2O2 concentration, [H2O2]/[Fe2+], pH, UV wavelength, UV intensity, gaseous ethylbenzene concentration, gas flow rate and the process stability. Based on the optimum conditions, the removal efficiency achieved 76.3%. It was indicated that the UV365/Fenton process had excellent performance for the removal of gaseous ethylbenzene. According to EPR, radical quenching experiments, iron analysis, carbon balance, and GC-MS analysis, the degradation pathway and mechanism of gaseous ethylbenzene were proposed.
Forecasting Forex Rate Volatility with Cutting-Edge Fuzzy Time Series Models
Authors: Bilal Muhammad , Aamir Muhammad , Abdullah Saleem , Khan Faisal 
Published: June 2023

Abstract
The performance of fuzzy time series (FTS) prediction algorithms is impacted negatively in the presence of outlier(s), heterogeneity, or contamination in the data. As a result of these issues, standard forecasting algorithms will fail to produce reasonable forecast error rates for defuzzified outputs in understudy data. In this article, we present a robust technique for FTS by assessing how the prediction performance of the techniques is influenced by the outlier, not only to tackle this problem but also to increase forecasting accuracy. We proposed two novel robust fuzzy time series models, i.e. Trimmed Fuzzy Time Series (TFTS) and Winsorized Fuzzy Time Series (WFTS), and implemented to annual exchange rates (AERs) between the Pakistani rupee and the US dollar for comparison to other competitive models. The proposed models consider sub-partitioning in the universe of discourse, optimization of parameters method(s), and interval forecasting, which makes the forecast accuracy more precise forecasting than previously studied methods. Such forecasting techniques will assist all stakeholders, whether directly or indirectly involved, in making sensible data-driven business decisions across the country.
Thermal conductivity in a vadose zone: a novel spectral solution and application by the implication of significant coherence of thermal condition in the shallow gravel formation
Authors: Shih David Ching-Fang 
Published: June 2023

Abstract
Due to the heterogeneity in the unsaturated or vadose zone, it is challenging to represent the analytical mechanism and actual in-situ water content in the soil layer. However, in the shallow layers, thermal conditions quickly change with surface temperature evolution. It expects that the water content can, more or less, be affected by the in situ heat mechanism. This research, therefore, suggests a novel design to theoretically discover the thermal conditions, such as soil temperature, soil temperature gradient, and heat flux in the shallow Quaternary gravel layer at various depths using spectral analysis of temporal observations. This research primarily proposes a stochastic inverse solution for estimating thermal conductivity using spectral analysis of soil heat flux and temperature gradient. It suggests that the thermal condition exhibits the most periodic fluctuations during the diurnal process over a 24-hour period. The soil temperature gradient and heat flux at depths of 10, 30, 60, and 120 (cm) can capture changes in soil temperature and air temperature to a certain extent in the frequency domain. The thermal conductivity within the soil-water system is determined across soil depths ranging from 10 to 120 cm using the derived inverse spectral solution. Consequently, the utilization of spectral analysis makes it feasible and attainable to assess the thermal conductivity of the soil layer in conjunction with the heat flux and temperature gradient.
Cerebral oximetry monitoring versus usual care for extremely preterm infants: a study protocol for the two-year follow up of the SafeBoosC-III randomised clinical trial
Authors: Rasmussen Marie Isabel Skov , Hansen Mathias Lühr , Pellicer Adelina , Gluud Christian , Dempsey Eugene , Mintzer Jonathan , Hyttel-Sørensen Simon , Heuchan Anne Marie , Hagmann Cornelia , Ergenekon Ebru , Dimitriou Gabriel , Pichler Gerhard , Naulaers Gunnar , Cheng Guoqiang , Tkaczyk Jakub , Fuchs Hans , Fumagalli Monica , Nesargi Saudamini , Fredly Siv , Szczapa Tomasz , Plomgaard Anne Mette , Hansen Bo Mølholm , Jakobsen Janus Christian , Greisen Gorm 
Published: June 2023

Abstract
Background: In the SafeBoosC-III trial, treatment guided by cerebral oximetry monitoring for the first 72 hours after birth did not reduce the incidence of death or severe brain injury in extremely preterm infants at 36 weeks’ postmenstrual age, as compared with usual care. Despite an association between severe brain injury diagnosed in the neonatal period and later neurodevelopmental disability, this relationship is not always strong. The objective of the SafeBoosC-III follow-up study is to assess mortality, neurodevelopmental disability or any harms in trial participants at two years of corrected age. One important challenge is lack of funding for local costs for a trial-specific assessment.
Methods: Of the 1601 infants randomised in the SafeBoosC-III trial, 1276 infants were alive at 36 weeks’ postmenstrual age and will potentially be available for the two-year follow up. Inclusion criteria will be enrollment in a neonatal intensive care unit taking part in the follow-up studyand parental consent if required by local regulations. We aim to collect data from routine follow up programs between the age of 18 to 30 months of corrected age. If no routine follow up has been conducted, we will collect informal assessments from other health care records from the age of at least 12 months. A local co-investigator blinded to group allocation will classify outcomes based on these records. We will supplement this with parental questionnaires including the Parent Report of Children’s Abilities - Revised. There will be two co-primary outcomes: the composite of death or moderate-or-severe neurodevelopmental disability; and mean Bayley-III/IV cognitive score. We will use a 3-tier model for prioritisation, based on the quality of data. This approach has been chosen to minimise loss-to-follow up assuming that little data is better than no data at all.
Discussion: Follow up at the age of two years is important for intervention trials in the newborn period as only time can show real benefits and harms later in childhood. To decrease the risk of generalisation and data driven biased conclusions, we present a detailed description of the methodology for the SafeBoosC-III follow up study. As funding is limited, a pragmatic approach is necessary.
Study registration: ClinicalTrial.gov NCT05134116 (registered 24-11 2021), https://clinicaltrials.gov/ct2/show/NCT05134116?term=safeboosc&draw=2&rank=2
Protocol version 1 (1st of May 2023)
Performance prediction and optimization of a combined PEMFC-ORC system
Authors: ABDI Hamid , KETFI Omar , MAPENGO Clement Ruvimbo , MIRI Noureddine 
Published: June 2023

Abstract

The present paper is devoted to prediction of the performance of a combined system, consisting of a proton exchange membrane fuel cell integrated with an organic Rankine cycle (PEMFC-ORC). The PEMFC waste heat is recovered by an ORC system for electricity generation. The R123 was firstly selected as a working fluid which improved the net power and overall efficiency of the combined system by 13.76% and 5.19%, respectively, in comparison with the PEMFC system. Here, a validation study was conducted by comparing the obtained results with a literature based case. It was also outlined how stack operating pressures and temperatures affect the system performances. Moreover, an optimization study was performed to select the operating parameters values that maximize the system's power output. Accordingly, the net electrical output and overall efficiency of the system using the basic working fluid R123, have been improved by 16.17% and 5.47%, respectively.
Floridians’ Concern for the Everglades: the influence of environmental knowledge and cultural worldview on concern and perception of impact from various environmental threats
Authors: Hindsley Paul , Huxster Joanna K. , Morgan Ashton , Flower Hilary 
Published: June 2023

Abstract
Public support for restoration in sensitive ecosystems like the Everglades depends in part on individual-level concern and perceptions of impact from environmental threats. This study examines the roles of environmental knowledge and factors associated with motivated reasoning – cultural worldview (CWV), political ideology, and voting behavior – on Floridians’ concern and the perceptions of impact for five different threats to the everglades. Two of these threats, sea level rise and changes in precipitation, are associated with climate change and thus ideologically entangled. Analysis of our sample of 1432 Floridians reveals that: (1) CWV is the factor associated with motivated reasoning that has the largest influence on environmental concern and perceptions of impact, except for in the case of sea level rise, for which voting behavior had the greatest influence, (2) environmental knowledge has a larger influence on perceptions of impact for environmental threats that are not ideologically-entangled (e.g. water quality), (3) factors driving motivated reasoning have a larger influence on perceptions of impact from threats that are ideologically-entangled (i.e. sea level rise and precipitation), and (4) those with Communitarian-Egalitarian worldviews hold higher levels of concern and perceived greater risk impacts on all but one of the threats (invasive species), although some differences become more nuanced when viewed over the distribution of environmental knowledge. These findings improve our understanding of the relationship between environmental knowledge, motivated reasoning, and public concern and perceptions of environmental impacts to a local resource and ecosystem.
Health Sovereignty: A Historical and Political Analysis of Primary Healthcare Development and Idea Transfer in Iran and the Global Context
Authors: Bohloli Hamid 
Published: June 2023

Abstract
Introduction

This article examines the political aspects of health and its relationship with policy, politics, and polity. It emphasizes the significance of the primary healthcare (PHC) approach, rooted in anthropology, in driving societal health progress and the centrality of health in social policies, particularly concerning government legitimacy.

Methods

This qualitative, exploratory-historical study uses an inductive approach and a scope review to analyze PHC progress globally and in Iran. It involves 75 interviews with senior PHC policymakers and historical document analysis, focusing on power impact and policy transfer in the last 100 years.

Results

This paper highlights how different countries, including the Soviet Union, China, England, and Iran, have impacted the World Health Organization (WHO) and primary healthcare (PHC) literature through idea transfer. The study specifically focuses on Iran, showing how idea transmission, political economy, power centres and public culture influenced institutional health policy creation and control through the power of approval or veto.

Conclusion

This study highlights the flow of ideas within the PHC domain and the connection between countries' efforts and the role of the WHO in shaping the health system globally. This article theorizes that health is a sustainable global goal separating health as a political issue from politicization. It makes it a historical territorial political issue beyond regime constraints, with historical identity and historical accumulative sovereignty. Therefore, health should be seen beyond the interests of political regimes. Such a campaign can link health policies with global politics; in this case, it can play a role in global polity.
The comparison between multiple linear regression and machine learning methods in predicting cognitive function in Chinese type 2 diabetes
Authors: Liu Chi-Hao , Peng Chung-Hsin , Huang Li-Ying , Chen Fang-Yu , Kuo Chun-Heng , Wu Chung-Ze , Cheng Yu-Fang 
Published: June 2023

Abstract
The prevalence of type 2 diabetes (T2D) has been increasing drastically in recent decades. In the same time, it has been noted that dementia is related to T2D. In the past, traditional multiple linear regression (MLR) is the most commonly used method in analyzing these kinds of relationships. However, machine learning methods (Mach-L) have been emerged recently. These methods could capture non-linear relationships better than the MLR. In the present study, we enrolled old T2D and used four different Mach-L methods to analyze the relationships between risk factors and cognitive function. Our goals were first, to compare the accuracy between MLR and Mach-L in predicting cognitive function and second, to rank importance of the risks for impaired cognitive function in T2D.
There were 197 old T2D enrolled (98 men and 99 women). Demographic and biochemistry data were used as independent variables and the cognitive function assessment (CFA) score was measured by Montreal Cognitive Assessment which was regarded as independent variable. In addition to traditional MLR, random forest (RF), stochastic gradient boosting (SGB), Naïve Byer’s classifier (NB) and eXtreme gradient boosting (XGBoost) were also applied.
Our results showed that all the RF, SGB, NB and XGBoost outperformed than the MLR. Education level, age, frailty score, fasting plasma glucose and body mass index were identified as the important factors from the more to the less important.
In conclusion, our study demonstrated that RF, SGB, NB and XGBoost are more accurate than the MLR and in predicting CFA score. By these methods, the importance ranks of the risk factors are education level, age, frailty score, fasting plasma glucose and body mass index accordingly in a Chinese T2D cohort.
Constructed a novel of Znln2S4/S-C3N4 heterogeneous catalyst for efficient photodegradation of tetracycline
Authors: yang qian , Wang xueting , shi jing , wei jiaqi , he yangqing 
Published: June 2023

Abstract

In this paper, a novel efficient photo-catalyst have been fabricated by hybridizing ZnIn2S4 and S-C3N4 through hydrothermal method. The SEM and HRTEM images, together with XPS analysis revealed that the combination of ZnIn2S4 and S-C3N4 was successful and the structure of ZnIn2S4 was well preserved, which played a crucial role for improving the photocatalytic performance. The optimum 18% ZnIn2S4/S-C3N4 nanocomposites exhibit dramatically enhanced photocatalytic performance for degradation of tetracycline with 86.3% removal rate within 120 minute, higher than 50% degradation efficiency of pure S-C3N4. The corresponding enhanced mechanism for 18% ZnIn2S4/S-C3N4 can be attributed to the effective interfacial electron-hole pairs separation and migration between ZnIn2S4 and S-C3N4. And in the process of photodegradation for tetracycline, the largest contribution rate is the photo-excited cavity (h+), followed by ∙O2− and ·OH. Herein, we have provided a good example for removing antibiotic residues by using S-C3N4 based heterojunction towards environmental remediation.