bluuebunny/crossref_metadata_2025_split huggingface dataset:
Environmental Metrics of World Cuisine Recipes' Plant-Based Substitutes: Greenhouse Gas Emissions, Water Footprint, and Land Use
Authors: Bayindir-Gümüş Aylin , Yardimci Hülya 
Published: January 2025

Introduction/Objective:
Evidence has shown that consuming plant-based foods instead
of animal-based foods has positive effects on human and planet health. The current study aimed to
compare animal-based recipes (ABRs) and plant-based recipes (PBRs) nutritionally and environmentally.

Methods:
Plant-based recipes (adapted from animal-based recipes) were obtained from the “Vegan
Nutrition with Healthy and Delicious Recipes” book for inclusion in this study. Nutrient components,
including energy content, energy density (ED), macro and micronutrient profiles, such as environmental
metrics, which are greenhouse gas emissions (GHGE), water footprint (WF), and
land use (LU), were calculated and compared between animal-based and plant-based recipes.

Results:
While dietary fiber and insoluble fiber were higher, protein, total fat, saturated fatty
acids, monounsaturated fatty acids, vitamin B12, and zinc contents were lower in PBRs, compared
to ABRs. With exceptions (magnolia, muffins, and vegan souffle), medians GHGS, WF, and LU
of PBRs were lower than those of ABRs(). Plant-based hamburgers and meatballs, whose main ingredients
were fresh vegetables, had the lowest environmental impact.

Conclusion:
It is well known that human diet and food choices are among the main components
that contribute to environmental impact. Although the ecological footprints of foods and recipes
are essential in the diet, their nutrient densities should not be overlooked. Enriching the nutritional
values of the foods used in PBRs may improve their dietary values. In addition, it should also be
forgotten that using high amounts of non-nutritious foods, such as sugar, in PBRs due to their low
ecological impact is incorrect.
High-prediction QSAR Modeling Study Based on the Efficacy of a Novel 6-hydroxybenzothiazole-2-carboxamide Targeted Monoamine Oxidase B in the Treatment of Neurodegenerative Diseases
Authors: Xie Dong , Cai Zhibiao , Mao Junxiang , Qu Xiaodong , Cao Li , Zhou Jie 
Published: January 2025

Background:
Neurodegenerative diseases are a group of disorders characterized by progressive
neuronal degeneration and death, of which Alzheimer's disease and Parkinson's disease
are the most common. These diseases are closely associated with increased expression of monoamine
oxidase B (MAO-B), an important enzyme that regulates neurotransmitter concentration, and
its overactivity leads to oxidative stress and neurotoxicity, accelerating the progression of neurodegenerative
diseases. Therefore, the development of effective MAO-B inhibitors is important for
the treatment of neurodegenerative diseases.

Objective:
This study aims to improve the prediction of the efficacy of novel 6-hydroxybenzothiazole-
2-carboxamide compounds in inhibiting MAO-B by improving the quantitative constitutive
effect relationship (QSAR) modeling and to provide a theoretical basis for the discovery of
novel neuroprotective drugs.

Methods:
The study first optimized the structures of 36 compounds using the heuristic method
(HM) in CODESSA software to construct linear QSAR models. Subsequently, key descriptors were
screened by using the gene expression programming (GEP) technique to generate nonlinear QSAR
models and validate them.

Results:
The R², F-value, and R²cv of the linear model were 0.5724, 10.3752, and 0.4557, respectively,
whereas the nonlinear model constructed by the GEP algorithm showed higher prediction
accuracies by achieving R² values of 0.89 and 0.82, and mean squared errors (MSE) of 0.0799 and
0.1215 for the training and test sets, respectively. In addition, molecular docking experiments confirmed
that the novel compound 31 was tightly bound to the MAO-B active site with significant
inhibitory activity.

Conclusion:
In this study, we successfully improved the prediction ability of the efficacy of novel
6-hydroxybenzothiazole-2-carboxamide compounds to inhibit MAO-B by improving the QSAR
model. This not only provides new drug candidates for the treatment of neurodegenerative diseases,
but also provides important theoretical guidance for subsequent drug design and development,
which can help accelerate the process of new drug discovery and reduce the disease burden of patients.
Biosynthesis and Characterization of Silver Nanoparticles using Hypochaeris
radicata L. Extract and their Bioactivity
Authors: Tarmoul Houria , Brahmi Fatiha , Issaadi Ouarda , Chennit Boualam , Djermoune Atmane , Elsebai Mahmoud Fahmi , Boulekbache-Makhlouf Lila 
Published: January 2025

Background:
The use of plant extracts in the biosynthesis of nanoparticles has garnered attention in recent years due to the rapid, ecological, and economical production protocol.
The current study aimed to biosynthesize silver nanoparticles (AgNPs) of Hypochaeris radicata
L. extract

Methods:
These nanoparticles were characterized by UV-Vis, Fourier Transform Infrared Spectroscopy (FTIR), and X-Ray Diffraction (XRD) to determine their size and composition. The bioactivity was assessed by the determination of their antimicrobial effect using the well diffusion
method and their cytotoxicity by hemolysis method.

Results:
The results showed that AgNPs have been successfully synthesized and exhibit a surface
plasmon resonance spectrum with an absorption maximum at 420 nm. FTIR affirmed the role of
H. radicata L. as a reducing and capping agent of silver ions and XRD revealed their crystalline
nature. Interestingly, the synthesized AgNPs exhibited significant antimicrobial effects particularly against Escherichia coli and Aspergillus niger with inhibition zones of 20.5 and 19 mm, respectively. The cytotoxicity test confirmed the non-toxic characteristics of the synthesized
AgNPs

Conclusion:
The bio-ingredients present in the plant extract were effective for the synthesis of
Ag nanoparticles with significant biological efficacy
Aloperine Alleviates Atherosclerosis by Inhibiting NLRP3 Inflammasome Activation in Macrophages and ApoE-/- Mice
Authors: Wang Zengxu , Wang Yuchuan , Raza Faisal , Zafar Hajra , Guo Chunling , Sui Weihua , Yang Yongchao , Li Ran , Fang Yifen , Li Bao 
Published: January 2025

Background and Aims:
Atherosclerosis is a chronic cardiovascular disease which is regarded as one of the most common causes of death in the elderly. Recent evidence
has shown that atherosclerotic patients can benefit by targeting interleukin-1 beta (IL-1β). Aloperine (ALO) is an alkaloid which is mainly isolated
from Sophora alopecuroides L. and has been recognized as an anti-inflammatory disease. Herein, the effect of ALO on atherosclerosis was
investigated.

Methods:
ApoE-/- mice fed with western diet received ALO once daily. Plaques in the aortas were evaluated using oil red O and hematoxylin & eosin (H&E)
staining. Inflammation, lipids and kinases phosphorylation levels were evaluated using ELISA assay and western blot. Pyroptosis was examined by
THP-1 cells treated with oxidized low-density lipoprotein (ox-LDL).

Results:
Plaque development in aortic sinus and en face aortas were reduced after ALO treatment in ApoE-/- miceTreatment with ALO ameliorated
inflammation and profile of blood lipid. Western blot assay showed that ALO treatment substantially inhibited phosphorylation of p38 and Jun Nterminal
kinase (JNK) in aorta of ApoE-/- mice. Meanwhile, ALO significantly inhibited levels of IL-1β and IL-18 in serum and cleaved caspase-1
and IL-1β expression in aorta of ApoE-/- mice. Interestingly, ALO mildly increased pro-caspase-1 expression in ApoE-/- aorta in comparison with
saline group. In a dose dependent fashion, ALO treatment markedly inhibited ox-LDL-induced IL-1β and IL-18 levels in THP-1 cells and reduced
cleaved caspase-1 and IL-1β expression and caspase-1 activity, while ALO had little effect on nod-like receptor protein containing pyrin-3
(NLRP3), apoptosis associated speck-like protein containing a caspase-1 recruitment domain (ASC).

Conclusion:
It is of great practical significance to find the natural product to regulate macrophage pyroptosis, which are key drivers to accelerate the
progression of atherosclerosis. ALO could inhibit NLRP3 inflammasome activation in macrophages during atherogenesis, which may serve as a
potential candidate for the treatment of atherosclerosis.
THE EFFECT OF EXHAUST EMISSIONS L, O2, CO, CO2 AND HYDROCARBON FOR PERFORMANCE OF ALL NEW ERTIGA AUTOMOTIVE
Authors: Batutah Moh Arif , Nguyen Duong Tuan Anh 
Published: January 2025

The automotive with various and brands, both from Asia and Europe are all here. How much exhaust emissions are produced if each person uses the motor vehicle itself. The purpose of this study is to compare the quality of fuel used with the exhaust emissions of l, O2, CO, CO2 and HC produced. The test method is conducting sampling tests on All New Ertiga and testing emissions using a Gas Analyzer Tester. The fuel variants used in the emission testing process are pertamax, pertamax + octan booster, pertamax turbo and pertamax turbo + octan booster. With several variants of fuel used, can find effect l, O2, CO, CO2 and HC produced on these automotive. The best engine performance at 115 Nm of torque with emissions are still below TLV (threshold limit value) for pertamax, while for pertamax turbo the best performance at 120 Nm with emissions below TLV.
AI Machine Learning–Based Diabetes Prediction in Older Adults in South Korea: Cross-Sectional Analysis
Authors: Lee Hocheol , Park Myung-Bae , Won Young-Joo 
Published: January 2025

Abstract

Background
Diabetes is prevalent in older adults, and machine learning algorithms could help predict diabetes in this population.

Objective
This study determined diabetes risk factors among older adults aged ≥60 years using machine learning algorithms and selected an optimized prediction model.

Methods
This cross-sectional study was conducted on 3084 older adults aged ≥60 years in Seoul from January to November 2023. Data were collected using a mobile app (Gosufit) that measured depression, stress, anxiety, basal metabolic rate, oxygen saturation, heart rate, and average daily step count. Health coordinators recorded data on diabetes, hypertension, hyperlipidemia, chronic obstructive pulmonary disease, percent body fat, and percent muscle. The presence of diabetes was the target variable, with various health indicators as predictors. Machine learning algorithms, including random forest, gradient boosting model, light gradient boosting model, extreme gradient boosting model, and k-nearest neighbors, were employed for analysis. The dataset was split into 70% training and 30% testing sets. Model performance was evaluated using accuracy, precision, recall, F1 score, and area under the curve (AUC). Shapley additive explanations (SHAPs) were used for model interpretability.

Results
Significant predictors of diabetes included hypertension (χ²1=197.294; P<.001), hyperlipidemia (χ²1=47.671; P<.001), age (mean: diabetes group 72.66 years vs nondiabetes group 71.81 years), stress (mean: diabetes group 42.68 vs nondiabetes group 41.47; t3082=−2.858; P=.004), and heart rate (mean: diabetes group 75.05 beats/min vs nondiabetes group 73.14 beats/min; t3082=−7.948; P<.001). The extreme gradient boosting model (XGBM) demonstrated the best performance, with an accuracy of 84.88%, precision of 77.92%, recall of 66.91%, F1 score of 72.00, and AUC of 0.7957. The SHAP analysis of the top-performing XGBM revealed key predictors for diabetes: hypertension, age, percent body fat, heart rate, hyperlipidemia, basal metabolic rate, stress, and oxygen saturation. Hypertension strongly increased diabetes risk, while advanced age and elevated stress levels also showed significant associations. Hyperlipidemia and higher heart rates further heightened diabetes probability. These results highlight the importance and directional impact of specific features in predicting diabetes, providing valuable insights for risk stratification and targeted interventions.

Conclusions
This study focused on modifiable risk factors, providing crucial data for establishing a system for the automated collection of health information and lifelog data from older adults using digital devices at service facilities.
Sculpting Air In The Sub Habitat
Authors: Lotte Anker  
Published: January 2025

Sculpting Air in The Sub Habitat (subtitle: Texture and Form in Composition for Larger Ensemble of Improvisers) is an exploration and unfolding of creative processes in composing for a larger ensemble (6+ musicians) of improvisers as well as the processes in the ensemble rehearsals and concerts. In Sculpting Air, I am both composer and performer. I work with an ensemble created for this project: Sub Habitat.
Sub Habitat members are: Lotte Anker (DK), Mazen Kerbaj (GER/LBN), Katt Hernandez (S/USA), Nina de Heney (S), Sten Sandell (S), Andrea Neumann (GER), Burkhard Beins (GER)

Sculpting Air grew out of a need to deepen, (re)examine and challenge my compositional practice (including aesthetic preferences and inclinations) within a larger ensemble of improvisers, and I went into the project looking for something: more or less vague, fragmented notions of particular sonic and textural qualities and structural concepts. Notions of a higher degree of connectedness between predetermined and undetermined elements in composition etc.
The project is based on my own compositional work and 4 ensemble Sessions and Session concerts during 2020-22. It includes examples and reflections from these processes, and through them I try to articulate answers to the following research questions:

Based on the concepts of texture, MODE and LIBRARY, how can I develop new compositional tools for a larger ensemble of improvisers in a music that reflects the sonic palette and expression of the individual musician, the expression and identity of the ensemble as an entity, and my artistic intention?
Including:
How can these tools be deployed as sculpting materials in a large form piece, where the predetermined and indeterminate elements mutually reinforce each other and thus help to extend the musical space?
How can I explore the sonic potential of the ensemble in dialogue with the musicians?
How does the ensemble's overall expression inform my compositional work and vice versa?
In score form, how can I develop a specific vocabulary, concepts and notational forms that clarify my artistic intention and convey the balance between the predetermined and indeterminate elements of the composition?
Tegumentary Leishmaniasis: Perspectives and Challenges in This Enigmatic Disease
Authors: Serrano-Coll Héctor , Aristizábal-Parra Lucero Katherine , Olarte Graciela , Leguizamón Carolina Salamanca 
Published: January 2025

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not-yet-known
not-yet-known
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Cutaneous leishmaniasis is a chronic granulomatous disease affecting the
skin and mucous membranes. It is caused by an obligate intracellular
protozoan of the genus Leishmania, transmitted through the bite
of a female sandfly of the genus Phlebotomus or Lutzomyia.
The host immune response plays a crucial role in the development of the
clinical form of the disease. An imbalance favoring Th1 and Th17
responses promotes localized cutaneous or mucosal forms, whereas a Th2
response is associated with generalized forms, such as disseminated or
diffuse cutaneous leishmaniasis. Currently, medical treatment remains
based on pentavalent antimonial compounds, which induce host toxicity,
underscoring the need to explore new therapeutic options.
TRANSFERÊNCIA DO CONHECIMENTO NO SISTEMA ÚNICO DE SEGURANÇA PÚBLICA (SUSP): LEVANTAMENTO PROSPECTIVO SOB A PERSPECTIVA DA TECNOLOGIA
Authors: Kirchesch Telma Jakeline Greicy , Durante Luciane Cleonice , Blumenschein Raquel Naves , Callejas Ivan Julio Apolonio , Souza Paulo Augusto Ramalho de , Silva Fernando Selleri , Albino Jaqueline da Silva , Figueiredo Josiel Maimone de , Desidério Paulo Henrique Martins , Prolo Ivor 
Published: January 2025

As instituições de ensino de segurança precisam estar preparadas para incorporar avanços tecnológicos capazes de promover a efetividade do trabalho policial. Este artigo tem por objetivo realizar um levantamento prospectivo sobre recursos tecnológicos aplicáveis à educação dos policiais civis, policiais militares e bombeiros militares, no âmbito da segurança pública interna, nas últimas cinco décadas. A pesquisa é exploratória, apoiada em prospecção patentária na base de dados LENS. Os resultados apresentam indicam que o ser humano buscou suprir necessidades de mobilidade, conectividade e interação consigo mesmo, com outros, com bancos de dados e com inteligências artificiais. As tecnologias voltadas à educação policial buscam promover a ampliação da capacidade sensorial humana permitindo leituras geolocacionais e ambientais em tempo real, aperfeiçoando diagnósticos e construindo arranjos de inteligência, artificiais ou não. As tecnologias vestíveis e de uso na superfície do corpo tendem a se incorporar na rede física educacional, tornando instrumento de garantia à segurança da própria vida do policial.
The colour stability of nanofilled composite resin after immersion in pomegranate juice: a laboratory experimental study
Authors: Widyastuti Wiena , Gabriela Maria , Zulkifly Dinie Qurratuaini 
Published: January 2025

Introduction: Composite resin is highly valued for its aesthetic appeal, as its colour closely resembles that of natural teeth. Nanofilled composite resins, in particular, offer impressive colour stability. However, restorative materials can undergo colour changes due to intrinsic and extrinsic factors. One such extrinsic factor is fruit pigments, like those found in pomegranates. This study aims to analyze the colour stability of nanofilled composite resin after immersion in pomegranate juice. Methods: This laboratory experiment utilized a pre-test and post-test control group design. A total sample of forty nanofilled composite resins (Filtek Z350 XT), each with a diameter of 10 mm and a thickness of 2 mm, was divided into four groups. Each sample in the two treatment groups was immersed in 10 mL of commercial pomegranate juice for one day and seven days, respectively. Meanwhile, each sample in the two control groups was immersed in 10 mL of distilled water for the same duration. Colour measurements were carried out before and after immersion using a spectrophotometer. The data were statistically analyzed using the Shapiro-Wilk normality test to assess distribution. For normally distributed data, a one-way ANOVA was conducted, followed by the Tukey HSD post-hoc test for significant differences. For non-normally distributed data, the Kruskal-Wallis test was applied, followed by the Mann-Whitney post-hoc test if significant differences were observed. Results: The one-way ANOVA test for the L parameter yielded a p-value of 0.067 (p>0.05), indicating no significant changes after immersion in both pomegranate juice and distilled water. The Kruskal-Wallis test yielded p-values of 0.000 for E, 0.001 for C, and 0.000 for H (p<0.05), demonstrating substantial differences after immersion in both pomegranate juice and distilled water. Conclusion: The nanofilled composite resin exhibited minimal discolouration after immersion in pomegranate juice, as evidenced by changes in E, C, and H. No significant change was observed in L.
Disposition of enrofloxacin in plasma, pulmonary epithelial lining fluid, peritoneal fluid, and cerebrospinal fluid of healthy mares
Authors: Larson Molly A. , Credille Brent C. , Berghaus Londa J. , Papich Mark G. , Beasley Erin M. 
Published: January 2025

Abstract

Objective
To investigate the disposition of enrofloxacin and its active metabolite, ciprofloxacin, in plasma, pulmonary epithelial lining fluid (PELF), peritoneal fluid, and CSF in horses following IV administration of enrofloxacin at doses of 5 mg/kg and 7.5 mg/kg of body weight.

Methods
6 healthy, mature mares were randomly assigned to receive a single dose of enrofloxacin at either 5 mg/kg or 7.5 mg/kg in a crossover design with a washout period of 10 days. Concentrations of enrofloxacin and ciprofloxacin were determined in plasma, PELF, peritoneal fluid, and CSF.

Results
Both doses of enrofloxacin were generally well tolerated. One horse developed focal, self-limiting limb edema. The median maximum concentration extrapolated to time 0 and area under the plasma concentration-versus-time curve from time 0 to the last quantifiable time point (24 hours) for enrofloxacin in plasma were significantly greater when horses were given enrofloxacin at 7.5 mg/kg. Similarly, the median elimination rate constant, half-life of the terminal phase, peak serum concentration (Cmax), area under the plasma concentration-versus-time curve from time 0 to the last quantifiable time point (24 hours), area under the plasma concentration-versus-time curve extrapolated to infinity, and mean residence time for ciprofloxacin in plasma were significantly greater following administration of enrofloxacin at 7.5 mg/kg. There were no significant differences between doses in any of the measured pharmacokinetic variables in PELF.

Conclusions
There was no apparent pharmacokinetic advantage of enrofloxacin at the 7.5-mg/kg dose for susceptible isolates; however, this dose achieved higher concentrations and prolonged persistence in fluid matrices. Further studies are required to evaluate repeated administration at this dose for tolerability and clinical efficacy.

Clinical Relevance
Despite the wide use of enrofloxacin in horses, pharmacokinetic data is limited. This study provides pharmacokinetic data that can be used in a clinical setting.
Exposed digits increase weight bearing and alter sub-bandage pressures in dogs with forelimb splints
Authors: Stark Sarah J. , Meester Y. Lucia , Evans Richard , Gordon-Evans Wanda 
Published: January 2025

Abstract

OBJECTIVE
The goal of this study was to evaluate the difference in weight bearing in a toes-in splint versus a toes-out forelimb splint and to determine the difference in sub-bandage pressures between the groups. We hypothesized that (1) weight bearing would not be different between the 2 splints and that (2) sub-bandage pressures would be distributed higher on the distal digits in the toes-out splint and pressures would be more evenly distributed across the paw in the toes-in splint.

METHODS
In this controlled crossover trial, a random forelimb of 10 healthy dogs was bandaged with a splint that left the digits exposed and again with a splint that encompassed the digits. The ground reaction forces and the difference in sub-bandage pressures between 2 sensor sections were compared between the toes-in and toes-out bandages.

RESULTS
The mean (SD) of peak vertical force was 26.76% (11.86%) for the toes-in bandage and 49.85% (9.21%) for the toes-out bandage. The mean (SD) sub-bandage pressure differences between sections were –121.28 (138.28) mm Hg and 130.32 (116.40) for toes-in and toes-out bandages, respectively (P = .001). This remained significant even after weight bearing was removed as a factor (P < .001).

CONCLUSIONS
Leaving the distal aspect of digits 3 and 4 exposed by a splint results in better weight bearing, but also creates a sub-bandage pressure increase on the toes relative to the rest of the paw.

CLINICAL RELEVANCE
These results suggest that splint placement should be adjusted based on the needs of each patient.