bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of Organic Nutrition Regime on Biochemical and Bioactive Compounds in Strawberry
Authors: Sharma Jyoti Bharti , Wani Ab Waheed , Chauhan Nidhi , Jabroot Khan , Chaudhuri Madhurima , Rodge Rahul R. 
Published: December 2024

Background: Strawberries (Fragaria × ananassa) are prized worldwide for their unique flavor highly rich nutritional profile, containing various bioactive compounds with potential health benefits. As consumer demand for organic produce rises, there is growing interest in understanding how organic cultivation practices affect strawberry quality and composition. While organic farming is associated with environmental benefits, its impact on fruit quality and nutritional content remains a subject of ongoing research. Methods: This study advocated the effect of various organic source combinations on biochemical and bioactive compounds in strawberry cv. Flavia. Field trials were carried out over two cultivation seasons (2022-2024) at Lovely Professional University, using different organic inputs including vermicompost, neem cake, biochar, vesicular arbuscular mycorrhiza (VAM), Panchgavya and Amritpani. The experiment employed randomized block design (RBD) including ten treatments and three replicates. Strawberry fruits were assessed for different bioactive compounds such as total soluble solids (TSS), titratable acidity (TA), sugars, vitamin C, total phenolics, flavonoids, anthocyanins and antioxidant capacity. Result: Results showed that a balanced combination of organic amendments at 60% RDF through vermicompost (90 g/m2) + neem cake (45 g/m2) + biochar (800 g/m2) + Panchgavya (50 ml/plant) + VAM (50 ml/plant) (T9) significantly enhanced fruit quality parameters compared to control. T9 exhibited the highest TSS (8.4oBrix), TSS/TA ratio (15.07), total sugars (8.21%), vitamin C (58.03 mg/100 g), total phenolics (268.57 mg GAE/100 g), total flavonoids (187.28 mg QE/100 g), total anthocyanins (50.37 mg/100 g) and total antioxidant capacity (82.99%).
Antioxidant activity and physico-chemical properties of mead suppemented with coffe
Authors: Ferreira Lorena Pereira , De Sousa Cecila Leal , Bressan Cléo Rodrigo , Azevedo Márcia Mourão Ramos , Taube Paulo Sérgio 
Published: December 2024

Mead is a fermented drink with honey as the main ingredient, being called melomel when fruits or grains are added. In this work, the objective was to evaluate the physical-chemical parameters and the antioxidant potential of mead produced with the addition of coffee. Meads were made in a process similar to wine making, involving the operations of preparing the pre-inoculum, the must, yeast inoculation, fermentation and packaging. The meads produced with and without the addition of coffee were subjected to physical-chemical analyzes (moisture, acidity, pH, alcoholic content, reducing sugars, soluble solids (ºBx), ash) and the antioxidant potential (phenolic compounds and total flavonoids, DPPH , ABTS and FRAP). It was observed that for the parameters of pH (3.41), ash (0.04%) and reducing sugar (107.71 g L-1) the mead with coffee obtained higher values compared to the control drink without the addition of the adjunct coffee, which in turn demonstrated higher performance in the moisture (88.26%) and acidity (65.7 mEq L-1, 4.9 g of tartaric acid L-1) analyses. When related to the alcohol content of the drinks, both showed the same significantly value of 11.62% (without coffee) and 13.53% (with coffee). Regarding the properties of phenolic compounds and total flavonoids, the mead with coffee presented higher levels (305.85 mg GA100 mL-1), flavonoids (33.47 mg Q 100 mL-1), DPPH (153.01 mg T 100 mL-1) and FRAP (1236.08 µmol Fe(II) 1000 mL-1). The traditional drink presented ABTS as the best antioxidant activity with 245.67 mg T 100 mL-1. Coffee additives significantly influenced the beverage's physicochemical and bioactive characteristics, promoting its antioxidant potential and functional performance.
Manifestation Of Multicultural-Based Da'wah Kh. Abdurrahman Wahid In The Era Of Modernization
Authors: Khadziqun Nuha Muhammad , Nuha Mk 
Published: December 2024

The understanding and knowledge of people who do not know the tradition generally only know the popular tradition, not the philosophical value contained in the tradition, even many people do not recognize the traditions that exist around their own area. The purpose of this research is to: 1.Describe clearly how the acculturation of Sasak culture and Islamic teachings is realized in the Belangon tradition 2. Understand how the people of Kalijaga Baru Village maintain the Belangon tradition. This research is a type of qualitative data, using primary data and secondary data. The data collected in this article was subjected to descriptive qualitative analysis. The results of this study show that: (1) in the Belangon tradition there is a combination of Sasak and Islamic culture, namely the offering of offerings to those present during the belelangon process (2) offerings cannot be taken home by families affected by the disaster. (3) The people of Kalijaga Baru Village are always aware that someone has a congenital disease from their ancestors and never leave this tradition.
АРЕШТ І УВ’ЯЗНЕННЯ ДРУЖИН КОМАНДНОГО СКЛАДУ ПОВСТАНСЬКОГО ЗАГОНУ ОТАМАНА ЯКОВА ГОЛЬЧЕВСЬКОГО
Authors: Красносілецький Д. 
Published: December 2024

Статтю присвячено дослідженню періоду арешту й ув’язнення дружин командного складу загону отамана Якова Гольчевського (Гальчевський, «Орел»), яких було заарештовано у вересні 1922 р. Зосереджено увагу на долі Наталі Ковбасюк, Варвари Харчук, обставинах перебування Марії Гольчевської й Тетяни Конопенко в ув’язненні. Також зазначено про свідчення щодо М. Гольчевської сотників повстанського загону Я. Гольчевського, яких заарештували більшовики. Підкреслено, що причетність Марії Гольчевської до антибільшовицького повстанського руху не доведено.
Antimicrobial Lock Therapy in Clinical Practice: A Scoping Review
Authors: Alfieri Aniello , Di Franco Sveva , Passavanti Maria Beatrice , Pace Maria Caterina , Simeon Vittorio , Chiodini Paolo , Leone Sebastiano , Fiore Marco 
Published: December 2024

Antimicrobial lock therapy (ALT) prevents microbial colonisation in central vein catheters and treats existing catheter-related bloodstream infections (CRBSIs). Our objective was to assess the current scientific literature on the application of ALT and to address the following key questions:
1.	Which patients are candidates for ALT?
2.	In what clinical contexts is ALT employed?
3.	When has ALT been used, and what are the trends in its application over time?
4.	How is ALT administered, including specific agents such as antibiotics or ethanol?
5.	Is there sufficient existing literature to support conducting a comprehensive systematic re-view on ALT?
The scoping review followed a five-stage methodological framework, adhering to PRISMA-ScR guidelines. A total of 1024 studies were identified, with 336 ultimately included in the final analysis.
The findings showed that ALT involves the use of ethanol and taurolidine for preventing CLAB-SIs, while ALT is used alongside systemic antimicrobial treatment for CRBSIs when catheter re-moval is not feasible.
In conclusion, ALT demonstrates its potential to improve clinical outcomes, including better post-infection survival rates and prolonged catheter retention. Further systematic reviews are needed to strengthen these findings and provide clearer guidance for clinical practice.
Mechanical Behavior of Auxetic Composite Panels for Civil Engineering Structures
Authors: Shaibakovich Sofia , Dontsova Anna , Nemova Darya , Olshevskiy Vyacheslav , Sergeev Vitaly 
Published: December 2024

The subject of the study is the auxetic behavior of the cellular structure under compressive and tensile loads. This study experimentally assessed the auxetic properties of hourglass-shaped cellular structures. The experiments were conducted using 3D-printed polymer samples. The Poisson ratios of the structures in the compression tests were -0.06 for PLA samples and -0.05 for ABS. Two types of PLA samples with different shoulder structures were used in the tension tests. Type 1 samples had monolithic shoulders, whereas type 2 samples had cellular shoulders. The average tensile strength of the type 1 samples was 0.482 kN, whereas that of the type 2 samples was 0.416 kN, which was 13.7% lower. The elongation at failure was 35% higher in the type 2 samples (1.85 mm and 1.37 mm, respectively) than in the type 1 samples. The presence of an auxetic mesh over the entire sample contributed to the high deformation capacity of the sample. In further research, it is planned to create samples of fine-grained concrete with cellular structure.
Microbial diversity of high-elevated fumarole fields - low-biomass communities on the boundary between ice and fire
Authors: Shevchenko Alla , Ursalov Gleb , Eromasova Natalya , Shelyakin Pavel , Gelfand Mikhail , Tutukina Maria , Abramov Andrey , Vishnivetskaya Tatiana , Rivkina Elizaveta 
Published: December 2024

Abstract

Fumarole fields on active volcanoes are habitats that host unique microbial ecosystems. However, DNA extraction from them for further analysis is rather challenging. In this study, we compared two different ways of sample homogenization for DNA extraction to further profile the microbial communities of active fumarolic fields from Elbrus and Ushkovsky volcanoes and the frozen fumarole deposits of Fujiyama. Vertical homogeniser gave significantly higher DNA concentrations for the Elbrus samples, and more archaeal amplicon sequence variants (ASVs) for Elbrus and Ushkovsky samples compared to the horizontal one. This suggests that vertical homogeniser might be preferable for DNA extraction from sandy and rocky soils. Independent of the homogenizer type, the dominant phyla for Elbrus were Acidobacteriota and Pseudomonadota, and Crenarchaeota for Ushkovsky. The bacterial community of Fuji was less diverse, with Actinomycetota, Pseudomonadota and Bacillota being the dominant phyla. Thus, the studied fumaroles showed distinct microbial profiles, revealing unique adaptations to their respective extreme environments. Within the fungal community, Ascomycota, Basidiomycota and Chytridiomycota were the most dominant phyla for all three volcanoes, but their abundance varied. This study offers the first comprehensive analysis of microbial and fungal communities of active and frozen fumarolic fields, and demonstrates that the choice of methodology can significantly influence the understanding of microbial diversity in extreme environments.
Selective impairment and a positive recognition bias of the facial emotion recognition after propofol anesthesia during gastrointestinal endoscopy
Authors: Sun Zhuonan , Lan Qiong , Zhang Hua , Zheng Lijing , Liu Qingao , Zuo Haoyu , Feng Yu , Xiao Yusen , Yang Ning , Jia Xixi , Song Yanan , Liu Yajie , Han Dengyang , Qu Yinyin , Zhang Jing , Wang Ye , Li Zhengqian , Guo Xiangyang , Liu taotao 
Published: December 2024

Abstract

Introduction: Propofol may induce emotional impairment like euphoria and elation. Previous studies have demonstrated that emotional impairment can injure social cognition like emotion recognition and decision-making abilities. Therefore, this study is designed to investigate the effects of propofol anesthesia on facial emotion recognition (FER) and delay discounting behavior.
Method: Patients underwent diagnostic gastrointestinal endoscopy (GI) with propofol anesthesia in this prospective cohort observational study. Prior to and following the procedure, patients were asked to select the word that best describes the presented facial photographs displaying happiness, anger, and neutral expressions. Additionally, Monetary Choice Questionnaire-9 was used to assess delay discounting.
Results: Within a cohort of 87 patients, propofol anesthesia selectively decreased the mean score and accuracy of FER of anger and neutral post-GI. The FER of anger exhibited significant differences between pre- and post-GI, considering both the correct and incorrect recognition. There was a positive identification bias for FER after propofol anesthesia: mistaking anger or neutral expression for happiness. Procedures in the morning and no insomnia were associated with the decreased FER score of anger post-GI. The result didn't indicate any impairment of propofol anesthesia on FER of happiness or delay discounting behavior.
Conclusions: Our results emphasize the need for increased attention to the potential social cognition impairment of propofol anesthesia. They offer novel insights into postoperative cognitive dysfunction and potentially shed light on the pharmacological mechanisms of propofol.
Trial registration: the study was preregistered prospectively in the Chinese Clinical Trial Registry (registration date July 3rd, 2023; registry number ChiCTR2300073132, see https://www.chictr.org.cn/ showproj.html?proj=199458), before first patient was enrolled.
Prediction of success of slings in female stress incontinence, statistical and AI modeling
Authors: Abdelrasheed Ahmed , Taha Mohammed , Abdelrahman Ahmed , Mohamed Bassam , Saber Alaa , Badawi Ahmed , Wadie Bassem 
Published: December 2024

Abstract

Objectives: Studies on predicting the outcome of sling surgery are limited. Most depend on analysis of multiple confounding factors using regression models. However, their prediction results are limited. In this study, we tested a statistical regression model and an AI model for the prediction of the outcome of mid-urethral sling.
Methods: Data were collected from 151 patients who underwent MUS surgery in our center from 2002 to 2022 and confounding factors that affect the outcome of the surgery at a minimum of one year. The study was divided into two phases. Phase I included the construction of a prediction model using binomial logistic regression. In phase II, we applied an AI preferences (Support Vector Machines (SVM) and Artificial neural network (ANN) trying to obtain better predictions.
Results: Phase I: The logistic regression model predicted the outcome of surgery with overall accuracy of 90.7% and positive predictive value of 61.5% [X2 (11) = 46.24, P < 0.001].
Phase II: The data of the patients were entered as 10 features; 9 were predictors and the 10th was the output. The output comprised 18 cases designated as ‘failure’ and 133 as ‘success’ output. The best model performance-wise was the (SVM) with 92% accuracy and 96% F1-score, which meets the industrial standards for predictive models. However, ANN produced 90% accuracy and 94% F1-score. However, our sample size is small
Conclusion: Prediction of the outcome of MUS surgery was achieved using different modalities with the best prediction of the outcome obtained by SVM method.
Surface Visualization of a Bacterial Biofilm using Scanning Helium Microscopy
Authors: Jeinsen Nick A. , Ward David J. , Bergin Matthew , Lambrick Sam M. , Williamson David M. , Dawson Lisa F. , Wren Brendan W. , Brown Katherine A. , Dastoor Paul C. 
Published: December 2024

Abstract

The scanning helium microscope (SHeM) is an emerging technology that uses a beam of neutral helium atoms to form images with extreme surface sensitivity and non-destructive qualities. Here, we present the first application of SHeM to image bacterial biofilms. We demonstrate that SHeM uniquely and natively visualizes the outermost surface of extracellular polymeric substance in the absence of contrast agents and dyes and without inducing radiative damage.
Development and validation of a risk prediction model for depression in community-based chronic obstructive pulmonary disease patients using machine learning techniques
Authors: Chen Yong , Yu Yonglin , Yang Dongmei , Chen Xiaoju 
Published: December 2024

Abstract

Background: Chronic obstructive pulmonary disease (COPD) is a common respiratory condition that presents a significant health challenge. Research suggests that individuals with COPD frequently experience symptoms of depression. Despite this association, there is a marked lack of reliable predictive models that can accurately forecast the likelihood of depression in community-dwelling COPD patients. This study aims to develop an innovative predictive model utilizing machine learning techniques to effectively anticipate the risk of depression in individuals with COPD living in the community.
Methods: The research utilized data from the 2020 China Health and Retirement Longitudinal Study (CHARLS) database to examine clinical information from a sample of 809 COPD patients residing in the community. The analysis involved the application of the Least Absolute Shrinkage and Selection Operator (LASSO) and multivariate logistic regression to identify predictive factors. Furthermore, various machine learning (ML) classification models were employed, with the most optimal model being determined and assessed. Additionally, a personalized risk assessment tool using Shapley Additive exPlanations (SHAP) was developed for interpreting the findings.
Result: The study identified six key indicators of depression in community-based COPD patients. These included Self_assessed_health, Sleeping_time_at_night, Memory_disease, Gender, ADL_ score, and Age. Logistic classification model was the optimal model, test set area under curve (AUC) (95% confidence interval, CI):0.713 (0.648-0.778).
Conclusions:The model constructed in this study has relatively reliable predictive performance, which helps clinical doctors identify high-risk populations of community COPD patients prone to depression at an early stage.
BullySense: A Approach for Campus Bullying Detection Leveraging LLava Foundation Model
Authors: Gong Houming , Li Tao , Chen Cong , Lu Wei , Qu Wei , Du Ruiqi 
Published: December 2024

Abstract

Campus bullying has become a significant social issue, with profound impacts on the mental and physical well-being of students. Timely and effective detection is crucial for addressing this problem. To tackle these challenges, this study introduces BullySense, a campus bullying detection model built on the vision language model (VLM) framework. Utilizing the pre-trained LLaVA-1.5 model, BullySense is fine-tuned with a curated dataset of bullying and normal campus activity images, employing Low-Rank Adaptation (LoRA) to enhance task-specific performance. Experimental results show that BullySense outperforms traditional models, achieving precision of 0.982 and F1 scores of 0.977. While challenges remain, such as handling low-quality images and extending to multimodal data, this work demonstrates the potential of AI for improving campus safety and lays the groundwork for future advancements.
A short investigation: the demographic data of pharmacogenomics testing results for asian pediatric perioperative drugs
Authors: Veterini Anna Surgean , Santoso Kohar H. , Bakti Retti K. , Firdaus Khildan M. , Semedi Bambang P. , Apriani Evhy 
Published: December 2024

Abstract

Background: Post-operative pain management for pediatric patients is generally suboptimum. With pediatric patients, anesthesiologists are challenged to evaluate whether the administered dosage is appropriate and precisely predict potential side effects from administered drugs. This is imperative as genetics also serves a pivotal role in determining individual’s responses to drugs.
Methods: Paediatric patients aged 1 to 12 years who underwent surgery and received anaesthesia were offered to participate in the study. Participants received pharmacogenomic testing so that anaesthesiologist could determine the safety and effectiveness of the drugs given. The genes investigated included CACNA1S and RYR1; COMT; CYP2C19; CYP2C9; CYP2D6; G6PD and OPRM1. Both descriptive and analytical analysis were performed to investigate if certain genotype and phenotype were associated with dosage of analgesic drugs.
Results: Of 22 participants, all were reported to be having “Uncertain Susceptibility” to malignant hyperthermia based on CACNA1S and RYR1. Most participants were COMT Rs4680 GG (n=16, 72.7%), CYP2C19 *1/*1 (n=9, 40.9%), CYP2C9 *1/*1 (n=20, 90.9%), CYP2D6 *1/*10 (n=8, 36.4%), B (Wildtype)/B (Wildtype) of G6PD (n=21, 95.4%) and OPRM1 Rs1799971GG (n=11, 50.0%).
Conclusions: The distribution results of genotype and phenotype examinations indicate that normal metabolizers for the CYP2C9, CYP2D, and OPRM1 genes account for less than 50% of the total samples. In contrast, more than 50% of the G6PD phenotypes fall into the normal metabolizer category. For CACNA1S and RYR1, all subjects are classified under uncertain susceptibility. Interestingly, for the COMT gene, more than 50% of the phenotypes exhibit high activity.
Internet Addiction and Social Anxiety Among Eighth Grade Students
Authors: KÖLE Gamze SARIGÜZEL , YILMAZ Emine ALTUN 
Published: December 2024

Abstract

Objective: This descriptive research was conducted to determine the relationship between internet addiction and social anxiety among 8th grade students.
Results: A total of 416 students aged 12-15, attending the 8th grade in 2020-2021, 56.2% of whom are girls and 63.9% of whom are boys were included in the study. "Internet Addiction Scale" (IAS), "Social Anxiety Scale for Adolescents" (SASA) and "Personal Information Form" were used as data collection tools in the research. In statistical evaluation of the data, t test, analysis of variance, Tukey post test, linear regression analysis, Pearson correlation coefficient analysis were used. The participants were found to be normal internet users with a total mean score of 27.59±9.05 points from Young Internet Addiction Scale Short Form. The students received a total score of 40.59±16.01 from the SIAS and their social anxiety level was low
Conclusion: A significant positive relationship was found between students' internet addiction and social anxiety level. The results of this research show that adolescents are in the risk group for internet addiction. It should not be overlooked that adolescents are a risk group in terms of addiction, and seminars should be organized in schools to help them use the internet correctly and effectively.
Future Changes in Diurnal Cycle of Precipitation Due to Global Warming in Jakarta
Authors: Nosaka Masaya , Murata Akihiko , Sasaki Hidetaka 
Published: December 2024

Abstract

Global warming may lead to future changes in the diurnal cycle of precipitation in Jakarta, the capital of Indonesia. Such changes were investigated using a high-resolution regional climate model under RCP8.5. Average temperatures around Indonesia are projected to be approximately 3 K higher than those of the present climate. Annual precipitation is not expected to increase over the entire region. However, an increasing trend of + 27% in annual maximum daily precipitation was observed. Jakarta has a characteristic diurnal precipitation cycle, with precipitation occurring at a fixed time owing to the convergence of the monsoon and land breeze. In the future, the northerly monsoon blowing over Java will strengthen. The precipitation zone around Jakarta is projected to remain stagnant for an extended period owing to the weakening of the land breeze because the temperature increase over land is more pronounced than that over the ocean. Changes in the location of this precipitation zone will affect the diurnal cycle of precipitation in Jakarta. Future changes in the land breeze and monsoon, both of which are local phenomena, will affect the Jakarta precipitation region.