bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lectio praecursoria: Recognizing the plurality of knowledge, values, and experiences interwoven in Mexican community forestry
Authors: Gutiérrez-Zamora Violeta 
Published: May 2023

During my doctoral defense at the University of Eastern Finland on January 27th, 2023, I introduced my doctoral research with the present lectio praecursoria. This lectio delves into the plurality of experiences, values and knowledge interwoven in the development of community forestry in the Sierra Sur of Oaxaca, Mexico. In the last 40 years, Mexico has promoted community forestry as an alternative to forest management directed by the central government or private companies. As an alternative, community forestry is based on social justice and environmental sustainability principles, aiming for communities to use forests for social and economic development while conserving them. The research examines how forest communities have created their paths to achieve these objectives, like creating community forestry companies for wood and non-wood forest products. Based on ethnographic methods and documental analysis in the Sierra Sur of Oaxaca state, the research investigated the challenges, paradoxes and changes forest dwellers face when managing and working in their community forestry companies while conserving their forests. Furthermore, this study contributes to understanding how different environmental governing rationalities intersect when 1) socio-territorial conflicts arise, 2) women's access to productive labor is encouraged, and 3) the plural values of the forest are adapted. The lecture addresses one of the critical inquiries of this research: how various environmental governing rationalities intertwine in community forestry to shape and regulate people's behavior and interactions with forests.
Vector meson gravitational form factors and generalized parton distributions at finite temperature within the soft-wall AdS/QCD model
Authors: Allahverdiyeva Minaya , Mamedov Shahin 
Published: May 2023

AbstractWe investigate the vector meson’s gravitational form factors (GFFs) and generalized parton distributions (GPDs) at finite temperatures within the soft-wall AdS/ QCD model. The plotted soft-wall GFFs graphs at zero temperature are close to the hard-wall results (Abidin and Carlson in Phys. Rev. D 77:095007, arXiv:0801.3839 [hep-th], 2008). The dependence on temperature of the GFFs and GPDs is studied using the thermal dilaton approach in the soft-wall model. Plots of thermal GFFs show that they decrease in temperature increase. Also, the gravitational radius of $$\rho $$
ρ
meson decreases in temperature growth and becomes zero around the critical temperature $$T_c=0.2 \mathrm{\ GeV}$$

T
c

=
0.2

GeV

. GPDs at zero skewness are plotted and analyzed at zero and finite temperature cases.
Energy momentum tensor of a non-minimally coupled scalar from the equivalence of the Einstein and Jordan frames
Authors: Moinuddin Sk. , Mukherjee Pradip , Saha Anirban , Roy Amit Singha 
Published: May 2023

AbstractUnlike the minimally coupled gravity theory where matter is coupled with gravity in such a manner so that one can differentiate the matter and gravity sector uniquely, the non-minimally coupled theories (NMCT) are distinguished by the intermingling of two. As a consequence of this the calculation of the energy momentum tensor (EMT) in NMCT is beset with an arbitrariness. In this paper we provide an algorithm based on the well known equivalence between Jordan frame and Einstein frame formulations which enables us to construct the EMT for NMCT in a unique way.
Ophthalmic artery arising from the external carotid artery system: the middle meningeal artery in South African patients
Authors: Omotoso B.R , Harrichandparsad R , Lazarus L 
Published: May 2023

Abstract
Background
The ophthalmic artery is the first branch of the internal carotid artery. It arises from the supraclinoid segment of the internal carotid artery within the subarachnoid space and enters the orbit via the optic canal. However, due to complex embryogenesis, the ophthalmic artery can arise from different parts of the internal carotid artery or the distal branches of the external carotid artery. This is usually associated with a variation in the course of the ophthalmic artery through the superior orbital fissure instead of coursing through the optic canal. The ophthalmic artery and its branches vascularise the eyeball and its contents. Consequently, information about its morphologic variation is essential for treating clinical conditions such as central retinal artery occlusion, retinoblastoma chemoembolization, and ophthalmic artery aneurysm.

Case presentation
We report on two cases of the ophthalmic artery arising from the middle meningeal artery in one adult (33-year-old Indian female) and one pediatric (2-year-old African male) South African patient examined by digital subtraction angiography. The patients were diagnosed with arteriovenous malformations and bilateral retinoblastoma, respectively.

Conclusions
The ophthalmic artery plays a vital role in vision generation. Thus, its anatomy is of clinical interest to neurosurgeons, ophthalmologists, and interventional radiologists.
Positive correlational shift between crevicular antimicrobial peptide LL-37, pain and periodontal status following non-surgical periodontal therapy. A pilot study
Authors: Madruga David , Garcia Miguel M , Martino Luca , Hassan Haidar , Elayat Ghada , Ghali Lucy , Ceballos Laura 
Published: May 2023

Abstract
Background
Periodontitis has a high prevalence and uncertain recurrence. Unlike the pro-inflammatory cytokine profile, little is known about the anti-inflammatory cytokine and antimicrobial peptide overview following treatment. The present study aimed to evaluate if any of the antimicrobial peptide LL-37, interleukin (IL) 4, 10 and 6 together with the volume of gingival crevicular fluid (GCF) and total protein concentration in GCF could be used as correlative biomarkers for the severity in periodontitis as well as prognostic factors in the management of the disease.

Methods
Forty-five participants were recruited and allocated to the healthy (15), Stage I-II (15) or Stage III-IV periodontitis (15) group. Along with periodontal examination, GCF samples were obtained at baseline and 4–6 weeks following scaling and root planing (SRP) for the periodontitis groups. GCF samples were analyzed by ELISA kits to quantify LL-37 and IL-4, -6 and − 10. One-way ANOVA followed by Dunnett’s test was used to determine differences among the three groups at baseline. Two-way ANOVA followed by Sidak’s post-hoc test was used to compare between pre- and post-SRP in the two periodontitis groups.

Results
The amount of GCF volume was significantly correlated to the severity of periodontitis and decreased following SRP, particularly in the Stage III-IV group (p < 0.01). The levels of LL-37, IL-6, and pain and periodontal clinical parameters were significantly correlated to the severity of periodontitis. IL-4 and IL-10 in the periodontitis groups were significantly lower than the healthy group (p < 0.0001) and barely improved following SRP up to the level of the healthy group.

Conclusions
With the limitations of this study, crevicular LL-37 may be a candidate for a biomarker of periodontitis and the associated pain upon probing.

Trial registration
The study was registered in clinical trials.gov, with number NCT04404335, dated 27/05/2020.
Can payment by results ensure equitable access to contraceptive services? a qualitative case study
Authors: Boydell Victoria , Holden Joseph , Robins Ginny , Mumah Joyce , Abok Barnabas , Mudhune Sandra , Guinard Caroline , Quinn Heidi , Bishop Meghan 
Published: May 2023

Abstract
Background
The Leave No One Behind (LNOB) agenda compels sexual and reproductive health and rights (SRHR) implementers to focus on the multiple and intersecting forms of discrimination and inequalities. One strategy to address these is Payment by Results (PbR). Using the Women’s Integrated Sexual Health (WISH) programme as a case study, this paper examines if and how PbR can ensure equitable reach and impact.

Methods
Given the complexity of PbR mechanisms, a theory-based approach was used in the design and analysis of this evaluation, drawing on four case studies. These were conducted by reviewing global and national programme data and by interviewing 50 WISH partner staff at national level and WISH programme staff at global and regional levels.

Results
The case studies found that inclusion of equity-based indicators in the PbR mechanism had demonstrable effects on people’s incentives, on how systems work, and on modes of working. The WISH programme was successful in achieving its desired programme indicators. The use of Key Performance Indicators (KPIs) clearly incentivised several strategies for service providers to innovate and reach adolescents and people living in poverty. However, there were trade-offs between performance indicators that increased coverage and others that increased equitable access, as well as several systemic challenges that limited the possible incentive effects.

Conclusions
The use of PbR KPIs incentivised several strategies to reach adolescents and people living in poverty. However, the use of global indicators was too simplistic, resulting in several methodological issues.
Pulsatilla Decoction and its bioactive component β-peltatin induce G2/M cell cycle arrest and apoptosis in pancreatic cancer
Authors: Wu Rong , Xi Zhichao , Liu Mengfan , Ren Hangui , Dai Rongchen , Jiang Xue , Nik Nabil Wan Najbah , Wang Yalin , Feng Jiling , Chai Qiong , Dong Qihan , Xu Hongxi 
Published: May 2023

Abstract
Background
Pancreatic cancer (PAC), a malignancy that is fatal and commonly diagnosed at a late stage. Despite considerable advancements in cancer treatment, the survival rate of PAC remains largely consistent for the past 60 years. The traditional Chinese medicine formula Pulsatilla Decoction (PD) has been clinically used to treat inflammatory diseases for millennia and recently as a supplementary anti-cancer treatment in China. However, the bioactive ingredients and mechanisms underlying its anti-cancer effect remains unclear.

Methods
The composition and quality control of PD were verified through analysis by high performance liquid chromatography. Cell viability was determined using Cell Counting Kit-8 assay. The cell cycle distribution was analyzed through PI staining and flow cytometry analysis, while apoptotic cells were measured by double staining with Annexin V-FITC and PI. We used immunoblotting to examine protein expressions. The in vivo effects of β-peltatin and podophyllotoxin were evaluated on a subcutaneously-xenografted BxPC-3 cell nude mice model.

Results
The current study demonstrated that PD markedly inhibited PAC cell proliferation and triggered their apoptosis. Four herbal PD formula was then disassembled into 15 combinations of herbal ingredients and a cytotoxicity assay showed that the Pulsatillae chinensis exerted the predominant anti-PAC effect. Further investigation indicated that β-peltatin was potently cytotoxic with IC50 of ~ 2 nM. β-peltatin initially arrested PAC cells at G2/M phase, followed by apoptosis induction. Animal study confirmed that β-peltatin significantly suppressed the growth of subcutaneously-implanted BxPC-3 cell xenografts. Importantly, compared to podophyllotoxin that is the parental isomer of β-peltatin but clinically obsoleted due to its severe toxicity, β-peltatin exhibited stronger anti-PAC effect and lower toxicity in mice.

Conclusions
Our results demonstrate that Pulsatillae chinensis and particularly its bioactive ingredient β-peltatin suppress PAC by triggering cell cycle arrest at G2/M phase and apoptosis.
Transcriptional patterns of sexual dimorphism and in host developmental programs in the model parasitic nematode Heligmosomoides bakeri
Authors: Pollo Stephen M. J. , Leon-Coria Aralia , Liu Hongrui , Cruces-Gonzalez David , Finney Constance A. M. , Wasmuth James D. 
Published: May 2023

Abstract
Background
Heligmosomoides bakeri (often mistaken for Heligmosomoides polygyrus) is a promising model for parasitic nematodes with the key advantage of being amenable to study and manipulation within a controlled laboratory environment. While draft genome sequences are available for this worm, which allow for comparative genomic analyses between nematodes, there is a notable lack of information on its gene expression.

Methods
We generated biologically replicated RNA-seq datasets from samples taken throughout the parasitic life of H. bakeri. RNA from tissue-dwelling and lumen-dwelling worms, collected under a dissection microscope, was sequenced on an Illumina platform.

Results
We find extensive transcriptional sexual dimorphism throughout the fourth larval and adult stages of this parasite and identify alternative splicing, glycosylation, and ubiquitination as particularly important processes for establishing and/or maintaining sex-specific gene expression in this species. We find sex-linked differences in transcription related to aging and oxidative and osmotic stress responses. We observe a starvation-like signature among transcripts whose expression is consistently upregulated in males, which may reflect a higher energy expenditure by male worms. We detect evidence of increased importance for anaerobic respiration among the adult worms, which coincides with the parasite’s migration into the physiologically hypoxic environment of the intestinal lumen. Furthermore, we hypothesize that oxygen concentration may be an important driver of the worms encysting in the intestinal mucosa as larvae, which not only fully exposes the worms to their host’s immune system but also shapes many of the interactions between the host and parasite. We find stage- and sex-specific variation in the expression of immunomodulatory genes and in anthelmintic targets.

Conclusions
We examine how different the male and female worms are at the molecular level and describe major developmental events that occur in the worm, which extend our understanding of the interactions between this parasite and its host. In addition to generating new hypotheses for follow-up experiments into the worm’s behavior, physiology, and metabolism, our datasets enable future more in-depth comparisons between nematodes to better define the utility of H. bakeri as a model for parasitic nematodes in general.

Graphical Abstract
Waldenström macroglobulinemia with secondary pure red cell aplasia in a patient with metastatic castrate resistant prostate cancer receiving an immune checkpoint inhibitor: a case report
Authors: Kumar Vaibhav , Montgomery Nathan D. , van Deventer Hendrik W. , Whang Young E. 
Published: May 2023

Abstract
Background
Hypoproliferative anemia is a frequently encountered adverse event in cancer patients receiving immune checkpoint inhibitors (ICI). Secondary pure red cell aplasia (PRCA) is a rare but recognized immune related adverse event. With the burgeoning use of ICIs, the association of secondary PRCA with an underlying lymphoproliferative disorder is often overlooked.

Case presentation
We report a case of a 67-year-old non-Hispanic Caucasian male with metastatic castrate resistant prostate cancer, who developed severe transfusion dependent anemia with reticulocytopenia while receiving treatment with olaparib and pembrolizumab. His bone marrow findings demonstrated erythroid hypoplasia, in addition to a CD5-negative, CD10-negative monotypic B-cell population and a somatic MYD88L265P mutation. With a presence of an IgM-paraprotein, he was diagnosed with Waldenström macroglobulinemia (WM) with secondary PRCA and treated with 6 cycles of bendamustine and rituximab. He achieved a complete response with this regimen and was transfusion independent.

Conclusion
In this case, underlying WM was uncovered through systematic investigation of anemia caused by ICI therapy. This report highlights the possibility of a lymphoproliferative disorder in patients with concerns for PRCA with prior ICI exposure. If identified, treating the underlying lymphoproliferative disorder is highly efficacious in the management of the secondary PRCA.
Experimental Research on Seismic Performance of Masonry-Infilled RC Frames Retrofitted by Using Fabric-Reinforced Cementitious Matrix Under In-Plane Cyclic Loading
Authors: Wang Fayu 
Published: May 2023

AbstractFabric-reinforced cementitious matrix (FRCM) composites, also known as textile-reinforced mortars (TRMs), represent a new advancement in structural repair and reinforcement technology. Aiming to improve the energy efficiency and seismic performance of existing buildings, this research focused on the development of an FRCM system in combination with phase change materials (PCMs) and extruded polystyrene sheets (XPS) to achieve adequate mechanical and thermal properties for reinforced concrete (RC) and masonry structures. Accordingly, the in-plane behaviour of five FRCM-strengthened RC frames with hollow-brick wall infill was tested under cyclic loading to investigate the improvement in earthquake resistance. The system was comprehensively evaluated by calculating hysteresis curves; comparing the lateral stiffness, ductility, and energy dissipation capacity; measuring the deformations of the specimens; and analysing the failure modes mechanically. Finally, it was proved that this novel integrated approach could significantly enhance the mechanical and seismic performance of masonry-infilled RC frames.
A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting
Authors: Jiménez-Navarro Manuel J. , Martínez-Ballesteros María , Martínez-Álvarez Francisco , Asencio-Cortés Gualberto 
Published: May 2023

AbstractEnsuring the optimal performance of power transformers is a laborious task in which the insulation system plays a vital role in decreasing their deterioration. The insulation system uses insulating oil to control temperature, as high temperatures can reduce the lifetime of the transformers and lead to expensive maintenance. Deep learning architectures have been demonstrated remarkable results in various fields. However, this improvement often comes at the cost of increased computing resources, which, in turn, increases the carbon footprint and hinders the optimization of architectures. In this study, we introduce a novel deep learning architecture that achieves a comparable efficacy to the best existing architectures in transformer oil temperature forecasting while improving efficiency. Effective forecasting can help prevent high temperatures and monitor the future condition of power transformers, thereby reducing unnecessary waste. To balance the inductive bias in our architecture, we propose the Smooth Residual Block, which divides the original problem into multiple subproblems to obtain different representations of the time series, collaboratively achieving the final forecasting. We applied our architecture to the Electricity Transformer datasets, which obtain transformer insulating oil temperature measures from two transformers in China. The results showed a 13% improvement in MSE and a 57% improvement in performance compared to the best current architectures, to the best of our knowledge. Moreover, we analyzed the architecture behavior to gain an intuitive understanding of the achieved solution.
Time series big data: a survey on data stream frameworks, analysis and algorithms
Authors: Almeida Ana , Brás Susana , Sargento Susana , Pinto Filipe Cabral 
Published: May 2023

AbstractBig data has a substantial role nowadays, and its importance has significantly increased over the last decade. Big data’s biggest advantages are providing knowledge, supporting the decision-making process, and improving the use of resources, services, and infrastructures. The potential of big data increases when we apply it in real-time by providing real-time analysis, predictions, and forecasts, among many other applications. Our goal with this article is to provide a viewpoint on how to build a system capable of processing big data in real-time, performing analysis, and applying algorithms. A system should be designed to handle vast amounts of data and provide valuable knowledge through analysis and algorithms. This article explores the current approaches and how they can be used for the real-time operations and predictions.
An exploratory content and sentiment analysis of the guardian metaverse articles using leximancer and natural language processing
Authors: Tunca Sezai , Sezen Bulent , Wilk Violetta 
Published: May 2023

AbstractThe metaverse has become one of the most popular concepts of recent times. Companies and entrepreneurs are fiercely competing to invest and take part in this virtual world. Millions of people globally are anticipated to spend much of their time in the metaverse, regardless of their age, gender, ethnicity, or culture. There are few comprehensive studies on the positive/negative sentiment and effect of the newly identified, but not well defined, metaverse concept that is already fast evolving the digital landscape. Thereby, this study aimed to better understand the metaverse concept, by, firstly, identifying the positive and negative sentiment characteristics and, secondly, by revealing the associations between the metaverse concept and other related concepts. To do so, this study used Natural Language Processing (NLP) methods, specifically Artificial Intelligence (AI) with computational qualitative analysis. The data comprised metaverse articles from 2021 to 2022 published on The Guardian website, a key global mainstream media outlet. To perform thematic content analysis of the qualitative data, this research used the Leximancer software, and the The Natural Language Toolkit (NLTK) from NLP libraries were used to identify sentiment. Further, an AI-based Monkeylearn API was used to make sectoral classifications of the main topics that emerged in the Leximancer analysis. The key themes which emerged in the Leximancer analysis, included "metaverse", "Facebook", "games" and "platforms". The sentiment analysis revealed that of all articles published in the period of 2021–2022 about the metaverse, 61% (n = 622) were positive, 30% (n = 311) were negative, and 9% (n = 90) were neutral. Positive discourses about the metaverse were found to concern key innovations that the virtual experiences brought to users and companies with the support of the technological infrastructure of blockchain, algorithms, NFTs, led by the gaming world. Negative discourse was found to evidence various problems (misinformation, harmful content, algorithms, data, and equipment) that occur during the use of Facebook and other social media platforms, and that individuals encountered harm in the metaverse or that the metaverse produces new problems. Monkeylearn findings revealed “marketing/advertising/PR” role, “Recreational” business, “Science & Technology” events as the key content topics. This study’s contribution is twofold: first, it showcases a novel way to triangulate qualitative data analysis of large unstructured textual data as a method in exploring the metaverse concept; and second, the study reveals the characteristics of the metaverse as a concept, as well as its association with other related concepts. Given that the topic of the metaverse is new, this is the first study, to our knowledge, to do both.