bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of climatic-meteorological conditions on the Polish wooden cultural heritage: the example of wooden churches in Krakow
Authors: hu haisheng 
Published: January 2024

Abstract
Poland has a large number of wooden churches, which are significantly threatened by climate change. In this study, we collect geographic, land-use type, water system, climatic and meteorological data of the study area to qualitatively and quantitatively explore the impact of climatic-meteorological conditions on the Polish wooden cultural heritage, using as an example six wooden churches in Wooden Churches of Southern Małopolska (a World Heritage Site) in Kraków. We found that (i) the region rarely experiences extreme precipitation, is located at the headwaters of Polish rivers, and is on higher ground, which makes it less prone to large flood flows, and therefore the impacts of larger hydraulic shocks are rare; (ii) the core and buffer zones where most of the wooden churches are located are densely forested, with a high risk of fires; and (iii) in terms of the current climatic conditions, the year-round relative humidity in the wooden civil churches in Poland exceeds the protection of the wooden heritage or facilities, and the temperature meets the protection criteria only in summer. At the same time, we propose specific recommendations for the conservation and restoration of Polish wooden churches in terms of damp proofing, insulation and drainage, and this study is expected to provide potential data and theoretical support for future related work.
Spatial Variation in Agricultural BMPs and Relationships with Nutrient Yields Across New York State Waterways
Authors: Schewe Rebecca L. , Iavorivska Lidiia , Kelleher Christa 
Published: January 2024

Abstract
Agricultural nutrients nitrogen and phosphorus can subsequently be transported to waterways and are often managed through adoption of best management practices (BMPs). However, we have a poor understanding of how the use of BMPs varies spatially and how BMP adoption might be related to nutrient loads in surface waters. To address this, we performed a survey of agricultural landowners across New York State and compared this with estimates of annual incremental nitrogen and phosphorus loads of agricultural origin from the Spatially Referenced Regressions On Watershed attributes (SPARROW) model. Using these sociobehavioral data and SPARROW predictions, we perform colocation analysis to identify areas where watersheds with high nutrient yield from agriculture are collocated with non-use of agricultural BMPs. This colocation analysis offers a novel methodology for identifying areas where monitoring of waterways and promotion of best management practices could be targeted to achieve the greatest benefits.
A Hybrid Attention Based Deep Learning System for Suicidal Ideation Detection in Social Media
Authors: K SenilSeby , M Elamparithi , V Anuratha 
Published: January 2024

Abstract
Suicide is a critical issue in modern society. Many of the people who have the tendency to suicide share their thoughts and opinions through social media platforms. Suicidal ideation detection via online social network analysis has emerged as an essential research topic with significant difficulties in the fields of natural language processing and psychology in recent years. This paper proposes a hybrid attention-based convolution neural network and long short-term memory (HACNN-LSTM) for suicidal ideation detection of social media data. The proposed system consists of three phases, namely, data preprocessing, word embedding, and classification. To begin, the data preprocessing is carried out on the collected Reddit dataset. After that, the word embedding is performed on the preprocessed dataset by Term Frequency - Inverse Document Frequency (TF-IDF). Finally, the classification is done by using the HACNN-LSTM model, in which the hyperparameter is optimized by particle swarm optimization (PSO) algorithm. The findings proved that the proposed hybrid system achieves superior results than the existing techniques with 96.84% accuracy.
Revolutionizing Soil Remediation: Exploring the Frontiers of Bioremediation Through the Performance Evaluation of Vernonia Galamensis and Vernonia Amydalina Spices in Hydrocarbon-contaminated Soil.
Authors: JOHNSON NNADIKWE 
Published: January 2024

Abstract
The detrimental consequences of soil pollution caused by crude oil or petroleum products are immense, leading to land degradation, property damage, and rendering agricultural practices ineffective. Extensive research has been conducted in the field of soil remediation, but further studies are still required to explore additional details of the remedial process. As a result, this study focuses on evaluating the effectiveness of Vernonia Galamensis and Vernonia Amygdalina, commonly known as bitter leaf, in remediating hydrocarbon-contaminated soil. In the analysis of micro-organisms, it was found that the bitter leaf extracts contained three types of bacteria: Pseudomonas aeruginosa, Staphylococcus aureus, and Escherichia coli. The leaf extracts were prepared using different methods, including sun drying, room drying, and using them in their wet form, which were then blended into the contaminated soil. The study also took into consideration three different types of soil: sandy-loamy soil, clay soil, and swamp soil. These advanced techniques and considerations are relevant to the topic of revolutionizing soil remediation, as they explore the potential of bitter leaf extracts and different soil types in effectively mitigating the effects of hydrocarbon contamination.The findings revealed that the wet blended extracts of Vernonia performed exceptionally well in the remediation process, surpassing a 50% reduction in the initial contamination levels. The study involved utilizing a quantity of bitter leaf ranging from 10g to 40g, which was added to the contaminated soils and monitored for a duration of 40 days. Remarkably, this approach led to a significant decrease in the concentration of contaminants within the soil, indicating the effectiveness of the bitter leaf extracts in the remediation process. Towards the conclusion of the study, predictive models were constructed to forecast the impact of hydrocarbon content, as well as the levels of lead, zinc, and chromium in the soil. These variables served as the dependent variables in the models, while the mass of bitter leaf, the duration of treatment, and the pH of the soil were considered as independent variables. Significantly, the models achieved a level of significance of less than 0.05, indicating their statistical validity. Furthermore, the r2 value, which represents the goodness of fit, demonstrated an appreciable level of accuracy in predicting the remediation effects. These results highlight the potential of the developed models in assessing and predicting the remedial outcomes of hydrocarbon contamination using bitter leaf extract.
Ist das Versenden von «Dick Pics» strafbar?
Authors: Thommen Marc , Stark Marvin 
Published: January 2024

Mit der Verbreitung von Mobiltelefonen hat auch das Versenden von «Dick Pics» zugenommen. Der vorliegende Beitrag untersucht, wie das Versenden unerwünschter Fotos männlicher Genitalien strafrechtlich zu werten ist. In Frage kommen Exhibitionismus (Art. 194 StGB), Pornografie (Art. 197 StGB) und sexuelle Belästigung (Art. 198 StGB). Dabei wird sich zeigen, dass keiner dieser Tatbestände wirklich passt. Auch nach der Revision des Sexualstrafrechts ist das Problem nicht abschliessend gelöst.
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L'envoi de «Dick Pics» a sensiblement augmentéavec la popularisation des téléphones portables. Notre article examine comment l'envoi de photos non désirées d'organes génitaux masculins doitêtre considérédu point de vue du droit pénal. L'exhibitionnisme (art. 194 CP), la pornographie (art. 197 CP) et le harcèlement sexuel (art. 198 CP) entrent en ligne de compte. Il sera toutefois constatéqu'aucune de ces infractions n'est vraiment adaptée. Même après la révision du droit pénal en matiè re sexuelle, le problème n'est pas définitivement résolu.
Applicability of multi-agent control for virtual inertia modes in a wind power plant
Authors: Astapov V. Yu. 
Published: January 2024

This work presents a literature review devoted to increasing the efficiency and quality of managing wind power plants. The analysis focuses on mitigating the adverse effects of wind turbines on the power system and providing system services, such as primary frequency regulation. Nearly 150 scientific publications and reviews, selected from various scientific sources (such as IEEE, Web of Science and Scopus) by the keywords, including “wind power station”, “wind turbine”, “multi-agent control”, “virtual inertia”, “microgrid”, “virtual power plant”, and “frequency control”, were evaluated.A systematic review methodology of specialised sources was applied, which offers a defined structure for this field of research by categorising articles. The study emphasises the urgency of developing technologies to increase the regulation capacity of a wind power plant, since the low inertia of renewable energy sources leads to a decrease in the stability of power systems, a significant proportion of which accounts for wind power plants. It follows from the literature review that one of the means to increase the stability of such power systems is the creation of virtual inertia for wind power plants. However, due to the limited capacity and control capabilities of each individual wind turbine, the efficiency of introduced virtual inertia may be insufficient, when implemented for individual units. Moreover, it is shown that uncoordinated control can affect the stability of the system. In this review, the specific sources considering coordinated multi-agent control of the virtual inertia for several wind turbines (wind power plants) were analysed. The review concludes that the proposed approach is currently understudied, while the outlined theses can be confirmed by developing the necessary algorithms and analysing the results.
Allocation of power losses and energy in the distribution network
Authors: Krupeneva Ya. I. , Boloev E. V. , Golub I. I. 
Published: January 2024

The goal is to determine methods for calculating power losses in a three-phase four-wire low voltage distribution network using measurements of a balance smart meter and consumer smart meters, and to establish the factors influencing the power losses and their allocation among individual network wires, loads, and consumers. The study involved examining three methods for determining power losses for current measurement snapshot. The first method suggests calculating losses as the difference between the power supplied to the network and the total power consumed. The second method calculates power losses using the contribution method. The third method, which in addition to measurement information requires knowledge of the topology and parameters of the network components, determines power losses based on the results of the state estimation method. The research proposes an algorithm for transition from a four-wire distribution network modeling to a three-wire one. The algorithm allocates power losses of the neutral wire among the phase wires. The findings indicate that the negative losses in the network with unbalanced phase loads are caused by the presence at the nodes of the least loaded phase of higher voltage than the voltage at the power supply node. The reason for higher losses in phases with minimal load is the uneven allocation of loads in the phases. In addition, the study reveals that the power loss values obtained by the contribution method, i.e. directly from the measurements of smart meters, are closer to the losses determined from the readings of the balance meter and consumer meters, compared to the losses found from the state estimation results. The considered methods for calculation and allocation of power losses are illustrated by an example of a real-world distribution network equipped with smart meters. The paper demonstrates the examples of allocating total power losses between phase wires and a neutral wire, among phase wires only, and between total loads at phase nodes and individual consumers in phases.
Comparison of methods for enhancing gold recovery from double refractory concentrates using the technology of autoclave oxidation
Authors: Petrov G. V. , Gordeev D. V. , Bekirova V. R. 
Published: January 2024

The study aims to investigate the most efficient method for significant minimization of the impact of organic carbon on gold recovery from double refractory raw materials. We tested three double refractory gold-sulfide concentrates from different deposits with the content of gold from 23.5 to 40.9 g/t and total carbon from 1.2 to 9.5 wt %. Thermal treatment was carried out in a tubular rotary furnace that provided permanent temperature setting and rotation speed in the reactor. The initial concentrate was grinded as pulp in a Fritsch planetary mono mill Pulverisette 6. Autoclave oxidation was performed in Premex and Büchi titanium autoclaves. The technology of autoclave oxidation with the addition of a secondary oxidizer was found to be the most efficient, since it can increase gold recovery up to 97%. Another technology – hightemperature autoclave oxidation – also proved high performance; however, a significant increase in the residence time of the material in the autoclave (up to 120 min) at elevated temperatures is required to achieve this performance. According to the results, thermal treatment in general can provide a small increase in gold recovery (up to 4%). Due to this, it can be used as an additional processing with other methods analyzed in this article rather than as a self-sufficient technological solution. The studies revealed that the preliminary thermal treatment of concentrates entering autoclave oxidation shows a positive effect; high-temperature autoclave oxidation of concentrates with different carbon content provides high gold recovery for high-carbon concentrates; the use of a secondary oxidizer (in the form of nitric acid) also benefits the gold recovery. The high efficiency of the technology for concentrates with different carbon content allows us to recommend it for further research.
Study on the Reactivity of Mixed Carboxylic Palmitic Anhydrides via the
Esterification Reaction Using Heterogeneous Catalyst
Authors: Derbel Marwa , Trabelsi Iteb , Essid Kamel 
Published: January 2024

Abstract:
of Organic Chemistry LR17ES08: Faculty of Sciences in Sfax, Route de Soukra Km 3,5 – BP 1171-3000, Sfax, Tunisia

:
The anhydrides were prepared in the presence of triethylamine in the organic solvent by a reaction
between fatty acid and acid chloride. Mixed aromatic palmitic were more reactive and selective than
the aliphatic anhydrides. The palmitic group was the most involved in acylation. Good yields of fatty
esters were obtained with total conversion of mixed anhydrides.
Identification of Breast Cancer Immune-related Prognostic Characteristics in Tumor Microenvironment
Authors: Tang Zhenning , Li Ling , Huang Xiaoying , Zhao Yinbing , Liu Qingyuan , Zhang Chaolin 
Published: January 2024

Background:
Accumulated evidence suggest that tumor microenvironment (TME)
plays a crucial role in breast cancer (BRCA) progression and therapeutic effects.

Objective:
This study aimed to characterize immune-related BRCA subtypes in TME, and identify
genes with prognostic value.

Methods:
RNA sequencing profiles with corresponding clinical data from The Cancer Genome
Atlas (TCGA) database of BRCA patients were downloaded to evaluate immune infiltration
using the single-sample gene set enrichment (ssGAEA) algorithm. Further, BRCA was clustered
according to immune infiltration status by consensus clustering analysis. Using Venn
analysis, differentially expressed genes (DEGs) were overlapped to obtain candidate genes.
Kaplan–Meier (K-M) analysis was performed to identify prognostic genes, and the results were
verified in the GEO and METABRIC datasets. RT-qPCR was conducted to detect the mRNA
expression of prognostic genes.

Results:
In the TCGA database, 3 immune-related BRCA subtypes were identified [cluster1
(C1), cluster2 (C2), and cluster3 (C2)]. The C2 subtype had better overall survival (OS) compared
to the C1 subtype. Higher levels of immune markers and checkpoint protein were found
in the C2 subtype than in others. By combining DEGs between BRCA and normal tissues, with
the C1 and C2 subtypes associated with different OS, 25 BRCA candidate genes were identified.
Among these, 8 genes were identified as prognostic genes for BRCA. RT-qPCR showed
that the expressions of 2 genes were significantly elevated in BRCA tissues, while that of other
genes were decreased.

Conclusion:
Three BRCA subtypes were identified with the immune index, which may help
design advanced treatment of BRCA. The data code used for the analysis in this article was
available on GitHub (https://github.com/tangzhn/BRCA1.git).
TENT5A Increases Glioma Malignancy and Promotes its Progression
Authors: Hu Jiali , Zeng Lei , Hu Ronghuan , Gong Dan , Liu Mengmeng , Ding Jianwu 
Published: January 2024

Background:
Recent studies reported that terminal nucleotidyltransferase 5A
(TENT5A) is highly expressed in glioblastoma and associated with poor prognosis. In this
work, we aim to specify the expression level of TENT5A in different grades of glioma and explore
its role in glioma progression.

Methods:
GEPIA online tools were used to perform the bioinformatic analysis. qRT-PCR,
Western blot, and Immunohistochemistry were performed in glioma cells or tissues. Furthermore,
CCK8, colony formation, transwell, flow cytometry and scratch assays were performed.

Results:
TENT5A was highly expressed in glioma and its level was associated with the pathological
grade of glioma. Knockdown of TENT5A suppressed cell proliferation, colony formation
ability, cell invasion and migration. Overexpression of TENT5A was lethal to the glioma
cells.

Conclusion:
Our data showed that the expression of TENT5A is associated with the pathological
grade of glioma. Knockdown of TENT5A decreased the ability of proliferation, invasion and
migration of glioma cells. High levels of TENT5A in glioma cells are lethal. Therefore,
TENT5A could be a new target for glioma treatment.
Wheatgrass (Triticum Aestivum) Extract Loaded Chitosan Solid Lipid Nanoparticles: Formulation, Physicochemical Characterisation and Cytotoxic
Potential
Authors: Minocha Neha , Pandey Parijat , Sharma Nidhi , Saini Sangita 
Published: January 2024

Background:
The prevalence of cancer is around the world, and is identified as a multifarious
ailment. Amongst the most common reasons for cancer in the world is oxidative stress, and this
can be overcome by taking the herbal plant wheatgrass in any form.

background:
The prevalence of cancer is around the world and is identified as a multifarious ailment. Amongst the most common reasons of cancer in the world is oxidative stress, and this can be overcome by taking herbal plant wheatgrass in any form. As colloidal carriers with particle sizes of 50-1,000 nm, Solid Lipid Nanoparticles (SLNs) combine the benefits of liposomes, emulsions, and other colloidal systems to deliver drugs at their targets.

Aim and Objective:
The aim of the present work is to formulate wheatgrass extract-loaded solid lipid
nanoparticles using Box-Behnken design and to investigate the effect of formulation variables.

Methods:
Using the hot homogenisation method, the current work plan aimed to develop wheatgrassfilled
chitosan solid lipid nanoparticles by means of a Box-Behnken design. This study investigated
the effect of three formulation variables on particle size and entrapment efficiency, namely the sodium
alginate concentration, the chitosan concentration, and the sonication time. Extraction of wheatgrass
was done in a soxhlet extractor, using methanolic extract. Furthermore, the authors have examined
recent patents associated with wheatgrass to enhance their comprehension of this herbal plant.

Results:
The hot homogenisation technique was used to prepare Triticum aestivum extract loaded
with solid lipid nanoparticles (SLNs). For BBD, all formulations were analysed for particle size,
which ranged from 394.4 to 911.2 nm, and for polydispersity index, which ranged from 0.527 to 1.0.
Batch code BB SLN-8 was found to be the finest suitable because of a maximum loading capacity of
58.23 ±0.11 % (w/w), maximum entrapment efficiency of 55.12±0.17 % (w/w), and minimum particle
size of 394.4nm by using sodium alginate as a surface stabiliser at sonication time ~ 10 min and
having maximum percentage yield of 49.87%. During characterisation studies and MCF-6 cell line
studies, it was found that wheatgrass has antioxidant potential and is potent against breast cancer.

result:
For BBD, all formulations were analyzed for particle size, which ranged from 394.4 to 911.2 nm, and for polydispersity index, which ranged from 0.527 to 1.0. Batch code BB SLN-8 was found to be finest suitable because of maximum loading capacity of 58.23 ±0.11 % (w/w), maximum entrapment efficiency of 55.12±0.17 % (w/w) and minimum particle size of 394.4nm by using sodium alginate as surface stabilizer at sonication time ~ 10 min and having maximum percentage yield of 49.87%.

Conclusion:
As an alternative medicine for cancer, wheatgrass is considered to be effective due to its
high antioxidant content.

other:
NA
Identification of Linear B-cell Epitopes of Odontobuthus doriae Scorpion
Venom Using Peptide Library
Authors: Rami Abbas , Behdani Mahdi , Kazemi-Lomedasht Fatemeh 
Published: January 2024

Background:
Envenomation with Odontobuthus doriae scorpion results in pain at the bite
site, inflammation, necrosis, and neurotoxicity. Administration of anti-scorpion antiserum prepared
from immunized horses is the main therapy for envenomation. However, in some cases, anaphylactic
shock related to antiserum administration limits its use. Therefore, the identification of the venom
component and the development of a specific neutralizing agent is very important. Identification of
linear epitopes of O. doriae using a peptide-displayed phage library (Ph.D.TM -7) was the main aim
of the current study.

Methods:
Three rounds of biopanning were performed on immobilized immunoglobulins (IgGs) isolated from the sera of an immunized horse. The biopanning process was checked
by polyclonal phage enzyme-linked immunosorbent assay (ELISA). Forty blue phage colonies were
randomly selected from the third round of biopanning, amplified, DNA extracted and submitted for
sequencing.

Results:
Polyclonal phage ELISA results confirmed the progress of the biopanning process. The antigens involved in stimulating the horse's immune system were identified, namely sodium
channel toxin, potassium channel toxin, chloride channel toxin, cell protein, venom protein, and antimicrobial peptide.

Conclusion:
Identified epitopes promise further research to develop novel diagnostic or therapies against O. doriae envenomation.