bluuebunny/crossref_metadata_2025 huggingface dataset:
De la importancia de la asociatividad para impulsar la visibilización y legitimación de la producción ejecutiva de las artes escénicas y de otras profesiones del sector
Authors: Schraier Gustavo
Published: March 2024

El presente artículo tiene por objetivos introducir la experiencia asociativa de la Asociación Profesional de Productorxs Ejecutivxs de las Artes Escénicas (APPEAE) y presentar algunos de los tópicos trabajados por la asociación entre el 2020 y el 2021, en pleno contexto pandémico. La metodología de trabajo del presente texto se basa en tres ejes: el relevamiento documental de experiencias de colegas y de terceros vinculados con las artes escénicas; la observación directa del autor de este artículo como presidente de APPEAE y, finalmente, el estudio para el dosier preliminar que la Comisión Directiva de la Asociación le encarga al mismo autor y que elabora durante agosto y septiembre del 2020. En los contenidos se realiza un recorte retrospectivo del estado de las artes escénicas al momento de declararse la emergencia por covid- 19 en Argentina; se plantea la falta de identificación y visibilización por parte del Estado de los múltiples y diversos oficios escénicos existentes y, por último, se comparte el dosier preliminar de APPEAE presentado ante el Ministerio de Cultura argentino. Las reflexiones finales aportan una visión sobre un modelo de asociatividad de profesionales de la producción ejecutiva de las artes escénicas que, por ser pionero en Iberoamérica, puede servir de ejemplo para imitar por otras organizaciones del sector, contribuyendo para lograr visibilizar y legitimar ciertas profesiones dentro y fuera del campo escénico iberoamericano y deja la puerta abierta y a la vez esperanzadora de futuras colaboraciones asociativas de los sectores públicos, privados y del tercer sector.
As Hype Fades, LLMs Gaining Acceptance in Upstream as New Age Research and Coding Tool
Authors: Jacobs Trent
Published: March 2024

After using ChatGPT-4 for more than a year, Clinton Lott has made familiarity with the large language model (LLM), a requirement for new software programming hires.

The director of Houston-based Spotter Tech gave this reasoning: “Taking 2 hours to do something that ChatGPT can do in 15 seconds is unacceptable today.”

It’s a line you’re likely to hear from the most ardent champions of LLMs which have simultaneously reignited the world’s interest in and ire for artificial intelligence (AI). And while Spotter Tech, a small hydraulic fracturing data specialist, may be an exception with its hiring practices, it is far from the only upstream company embracing the new technology.

Both BP and Shell have recently given thousands of employees access to Microsoft’s new cloud service called Copilot, which at its core is powered by GPT-4, OpenAI’s latest and most capable LLM. Others including ExxonMobil have placed use of LLMs under lockdown while still signaling a long-term interest in their embrace.

As chair of SPE’s Data Science & Engineering Analytics Technical Section, Pushpesh Sharma has spent the past several months speaking with peers in the industry about how and where LLMs are being used.

The product manager for field automation firm Aspen Technology told JPT that it’s clear from those conversations that a good number of energy firms are interested in tailoring the technology to their needs, albeit many are doing so quietly as it remains early days.

“The big focus right now is on what they call fine tuning,” he said. “You take an existing base model that one of the big tech companies have created and make it more of a fit for your business. It’s kind of like taking a graduate student and then letting them work on their PhD with very specific subject matter.”

While OpenAI’s ChatGPT has become the popular symbol of LLMs, there are a growing number of alternatives in the mix. In February, Google introduced its latest model called Gemini 1.5 which seeks to rival GPT-4.

There are also open source LLMs that oil and gas companies can use as templates for internal projects. Or they may turn to other big tech firms such as NVIDIA and Amazon Web Services (AWS) which are in the business of helping industrials build and train their own private, custom LLMs.

SPE joined the trend after inking a Memorandum of Understanding (MoU) in October with AI firm i2k Connect and Aramco Americas.

The collaboration is expected to result in a new domain-specific LLM that industry engineers and researchers can use to answer questions with more technical depth than can be done with the current slate of commercial offerings.

One enabling aspect of this current phase of experimentation with LLM technology is retrieval-augmented generation (RAG). The method is considered essential for models to provide more-accurate and actionable responses by extending their scope beyond initial training datasets to include more authoritative and even real-time data.
Technology Focus: High Pressure/High Temperature (March 2024)
Authors: Das Santanu
Published: March 2024

Early February saw the occasion of India Energy Week (IEW), a major event held in Goa, India, with which I was pleased to be engaged. The meeting addressed the many challenges and transformations facing the energy sector around the world, in both the short and long term. Complex alignments and armed conflict affect humankind around the globe and disrupt the infrastructural networks that connect populations. Recent events in the Red Sea serve as only one example of how geopolitics can profoundly influence a hydrocarbon market that expects to see high volatility in pricing.

IEW drew further attention to the important role India will play in the global energy economy of the future. A huge market with a booming economy and a growing demand for energy, India, too, seeks to develop its energy mix in accordance with the international goal of achieving a net-zero future and exploring renewable energies.

Within that greater framework, the subject of this feature, high-pressure/high-temperature (HP/HT) resources, continues to be a focus of efforts to apply new technologies that maximize productivity while addressing concerns related to capital expenditure, operating expenses, and high drilling costs. These cost-effective technologies will only grow in importance in exploiting HP/HT and ultra-HP/HT fields. Increased emphasis on effective well control, durable completion equipment, and monitoring of downhole conditions will become key entry points for technological advances in the near future.

This year saw a somewhat smaller number of HP/HT-centered conference papers for review. Nevertheless, I have identified, with an aim of providing readers an idea of the robust scope of research within the HP/HT industry, important works pertaining to simulation, drilling, and cleanup. These papers, set against the volatility faced by the energy sector, embody the importance of keeping our fellow energy professionals apprised of our successes and lessons learned.

Recommended additional reading at OnePetro: www.onepetro.org.

OTC 32657 Comparison of Wellhead Fatigue Methods Using Acoustic and Standalone Monitoring Data for HP/HT Developments by Bulent Mercan, 2H Offshore, et al.

IPTC 22815 Successful Drilling of the Deepest and Hottest HP/HT Carbonate Well Offshore Malaysia, Lessons Learned, and Way Forward by Swee Hong Gary Ong, PTT Exploration and Production, et al.

OTC 32203 Managing the High-Temperature Risk in a Horizontal HP/HT Deepwater Well by Yu Liu, Shell, et al.
Vibrational resonance and chaos control in the canonical Chua's circuit with a smooth nonlinear resistor
Authors: Li Hao , Liu Jiangling , Du Luchun
Published: March 2024

Vibrational resonance and chaos control in the canonical Chua's circuit with a smooth cubic nonlinear resistoris investigated by an analog circuit experiment and a dynamical model. When other parameters are fixed, changingthe amplitude and the frequency of the high-frequency signal can make the system's response amplitude to thelow-frequency weak signal exists a wide peak. The phase diagram of the system will transition from a single-scrollattractor to a double-scroll attractor when the amplitude of the high-frequency signal reaches the critical valueto achieve vibrational resonance. In particular, the maximum of the system's response amplitude is insusceptiblewhen the frequency of the high-frequency signal varies over a broad range, which indicates the strong robustnessof the vibrational resonance in the present system. The experimental results are coincident with the numericalsimulations. This research has potential applications in chaos control and weak signal detection.
CD5L associates with IgM via the J chain
Authors: Xiao Junyu , Wang Yuxin , Su Chen , Ji Chenggong
Published: March 2024

CD5 antigen-like (CD5L), also known as Spα or AIM (Apoptosis inhibitor of macrophage), emerges as an integral component of serum immunoglobulin M (IgM). However, the molecular mechanism underlying the interaction between IgM and CD5L has remained elusive. In this study, we present a cryo-electron microscopy structure of the human IgM pentamer core in complex with CD5L. Our findings reveal that CD5L binds to the joining chain (J chain) in a Ca2+-dependent manner and further links to IgM via a disulfide bond. We further show that CD5L reduces IgM binding to the mucosal transport receptor pIgR, but does not impact the binding of the IgM-specific receptor FcμR. Additionally, CD5L does not interfere with IgM-mediated complement activation. These results offer new insights into our understanding of IgM and shed new light on the function of the J chain in the immune system.
Biological monitoring of Soil pollution caused by two different Zinc species using earthworms
Authors: Singh Kiran , Malla Muneer Ahmad , Kumar Ashwani , Yadav Shweta
Published: March 2024

Zinc oxide nanoparticles (ZnO-NPs) are frequently employed in both commercial and agricultural sectors. Consequently, it is imperative to evaluate their impact on the soil ecosystem to ensure their safe and sustainable utilization in the long term. Earthworms are often used as a first indicator of soil pollution to monitor various pollutants. Nevertheless, there are unavoidable impediments that emerge during monitoring contamination in practical situations. To address the challenges, the study used soil bioindicator earthworm species Eudrilus eugeniae as an experimental model to evaluate the effects of two zinc species (ZnO-NPs and ZnCl2) on survival, reproduction, neuro-biomarkers, avoidance behavior, and their accumulation. The highest avoidance percentage was recorded 27.5% for ZnO-NP exposure and 37.5% for ZnCl2 exposure at 750 mg kg-1. ZnCl2 exposure decreased juvenile production by 3.00 ± 1.73 compared to 4.67 ± 1.15 for ZnO-NPs. At 750 mg kg−1, soils containing ZnCl2 (63.3%) had worse survival than those with ZnO-NPs (53.3%) administered, likely due to higher Zn ion. The bioaccumulation of nanoparticles and zinc ions adversely affect earthworm reproduction by reacting unfavourably with the neurotoxic marker AChE. Nevertheless, earthworms exposed to ZnCl2 had less Zn build-up in their gastrointestinal tracts than those exposed to NPs. The present work contradicts the finding that ZnO-NPs have hazardous effects on soil organisms. Instead, the study found that the toxicity of ZnCl2 was higher than that of ZnO-NPs. This difference in toxicity may be attributed to the ionic forms of Zn rather than its size. The study is valuable for ensuring the secure and sustainable application of ZnO-NPs.
Enhancement of adult liver regeneration in mice through the hepsin-mediated epidermal growth factor receptor signaling pathway
Authors: Hsu Yu-Chen , Tsai Yu-Fei , Fang Mo-Chu , Chen Chien-Hung , Yu I-Shing , Shun Chia-Tung , Tao Mi-Hua , Sun Cheng-Pu Sun , Sheu Jin-Chuan , Lin Shu-Wha
Published: March 2024

Given the widespread use of partial hepatectomy for treating various liver pathologies, understanding the mechanisms of liver regeneration is vital for enhancing liver resection and transplantation therapies. Here, we demonstrate the critical role of the serine protease Hepsin in promoting hepatocyte hypertrophy and proliferation. Under steady-state conditions, liver-specific overexpression of Hepsin in adult wild-type mice triggers hepatocyte hypertrophy and subsequent proliferation, significantly increasing liver size. This effect is predominantly driven by the catalytic activity of Hepsin, engaging the EGFR-Raf-MEK-ERK signaling pathway. Significantly, administering Hepsin substantially enhances hepatocyte proliferation and facilitates liver regeneration following a 70% partial hepatectomy. Crucially, the proliferation induced by Hepsin is a transient event, without leading to long-term adverse effects such as liver fibrosis or hepatocellular carcinoma, as evidenced by extensive observation. These results offer substantial potential for future clinical applications and translational research endeavors in the field of liver regeneration post-hepatectomy.
Global Urban Demographic Change and Migration Patterns
Authors: Zimmer Andrew , Tuholske Cascade , Gaughan Andrea , Brooks Nina
Published: March 2024

The demographic structure of urban populations shapes global economic development1,2, political stability3,4, and the impact of climate hazards 5,6. Cities of different sizes with youthful or aging populations, as well as changes in migration patterns can have different economic trajectories7 as labor markets expand or contract and can determine which demographic groups are most vulnerable to extreme heat8, flooding9 and air pollution10. Similarly, large young male populations have the potential to cause political instability4. As such, understanding the patterns and changes in these demographic structures for each city globally is paramount for determining sustainable development and growth strategies across different cities5. However, we currently lack a globally comprehensive, city-level assessment of how and where urban demographic patterns are evolving. Here we measure the spatiotemporal variability in demographic structures and migration patterns for 13,135 cities worldwide between 2000 and 2020. We find that changes in the demographic structure are highly heterogeneous across the urban continuum, with higher dependency ratios in small and medium cities compared to large cities. We highlight key cities with rapidly changing, unbalanced demographic structures that deviate from official, coarse-grained statistics. Further, we show that in-migration accounts for 52% of the 782 million new urban residents added to all cities between 2000 and 2020. The heterogeneous urban demographic patterns that we uncover are key for designing locally appropriate policies to actualize policies for sustainable urban economic development, climate change adaptations, and political stability, especially for smaller cities within low- and middle-income countries.
Development of a mentorship framework guide to promote the acquisition of interprofessional education and collaborative practice competencies during undergraduate training: a mini-Delphi cross-sectional study
Authors: Mubuuke Aloysius Gonzaga , Nawagi Faith , Nalugo-Mbalinda Scovia , Musoke David , Nekaka Rebecca
Published: March 2024

Background
The current global burden of disease which includes emerging and re-emerging diseases calls for interprofessional partnerships and team work to work collaboratively to solve community health problems. Inter-professional collaboration needs to start with training whereby learners are mentored in inter-professional teams and collaborative care. Many guidelines do exist in teaching and learning but faculty often do not have guidelines on how to mentor learners to acquire the needed inter-professional competencies. This study aimed at developing a mentorship guide for faculty to enable them to ably mentor learners in the acquisition of interprofessional competencies.
Methods
It was a cross-sectional study involving both students and faculty mentors. Questionnaires were distributed to undergraduate students and the mentors at Makerere University College of Health Sciences and Busitema University Faculty of Health Sciences. Data from the participants was used alongside literature to develop the interprofessional education mentorship guide for faculty mentors. The guide was validated by a panel of experts.
Results
From this study, students reported limited knowledge of the IPE core competencies and the faculty mentors corroborated this finding. Mentors did not directly give any feedback specifically targeting the IPE core competencies, though some of them unknowingly talked about some of the IPE competencies. The key challenges identified from students and faculty included limited training IPE and IPE core competencies and lack of guidelines for faculty mentors which they can follow to mentors students adequately across all the expected IPE competencies.
Conclusion
There was limited mentorship in IPE competencies. Findings from this study alongside literature and expert validation, a framework guide for mentors in relation to IPE competencies has been proposed.
MOOCRec_Sys: An Empirical E-learning Paradigm on Online Open Course using Sentiment Analysis and OWA operator
Authors: Gupta Charu , Khalaf Osamah Ibrahim , Jatana Nishtha , Sarkar Achintya , Sharma Bharti , Algburi Sameer , Hamam Habib
Published: March 2024

COVID Pandemic has brought radical transformations in the personal lives of people, like economic, social, cultural, educational. Among these, e-learning educational transformation is a very crucial paradigm of a learner’s life. This strong inclination of paradigm shift to online education has brought novel changes to the betterment of the education system. In Massive Open Online Courses (MOOC) are capable of giving promising avenues to e-teaching. Among the challenges for the learners in MOOC, one is to correctly choose the best learning option for a particular Course. In Technology Enhanced Learning, another concern is the appropriate searching of a leaning resource. This gives rise to the use and deployment of a recommender system. In this paper, we propose and evaluate a two-stage approach where first, online user reviews are considered for the course evaluation and second, User-Item Matrix is built for finding similar users. The proposed model suggests the best suitable resource to the learner based on his/her personal ability. In MOOC_RecSys, Naïve Bayes classification is used with multinomial Classifier to give a rating to reviews. The accuracy of the proposed method is encouraging and the computed RMSE for the recommendation system in 0.76.
Coordination between deformation, precipitation, and erosion during orogenic growth
Authors: Yuan Xiaoping , Li Yuqiang , Brune Sascha , Li Kai , Pons Michael , Wolf Sebastian
Published: March 2024

Crustal thickening associated with orogenic growth increases topography, causing the orographic enhancement of precipitation, which in turn facilitates local erosion and possibly intensifies the localization of deformation. How these three processes—deformation, precipitation, and erosion—coordinate during orogenic growth remains unknown, and whether tectonics or climate controls erosion in active orogens is much debated. Here, we present a new numerical model where tectonics, surface processes, and orographic precipitation are tightly coupled. We show that rock uplift rates and precipitation rates correlate well with erosion rates for the formation of orogenic plateaus with high correlation coefficients of ~0.9 between rock uplift and erosion rates, and ~0.8 between precipitation and erosion rates. We propose that three processes take place successively as a consequence of the lateral orogenic growth, and demonstrate a cyclicity of correlation evolution among uplift, precipitation, and erosion rates through the development of new faults propagating outward. These results shed new insights into the relative tectonic or climatic control on erosion in active orogens (e.g., the Himalayas, the Central Andes, and the Southern Alps of New Zealand), and reconcile several conflicting data and interpretations in the Himalayas, which depend on the stage of maturity of the newest fault and the relative locations to old faults.
Mass cytometry reveals cellular correlates of immune response heterogeneity to SARS-CoV-2 vaccination in the elderly
Authors: Mukherjee Ratnadeep , Eggesbø Linn , Wolf Asia-Sophia , Kjønstad Ingrid , Solum Guri , Ravussin Anthony , Bhandari Sabin , Robertson Anna , Magnus Per , Trogstad Lill-Iren Schou , Kristoffersen Anja , Nygaard Unni , Mjaaland Siri
Published: March 2024

Heterogeneity in vaccine response, particularly in vulnerable populations like the elderly, represents a significant public health challenge. We conducted an in-depth examination of immune cell profiles before and after SARS-CoV-2 vaccination utilizing mass cytometry in a cohort of healthy Norwegian seniors (65–80 years). We have demonstrated that higher pre-vaccination frequencies of CD27+IgD− class-switched memory B cells and subsets of CD27−CD24+CD38+ transitional B cells were associated with a robust vaccine response. Post-vaccination, high responders exhibited increased frequencies of IFN-γ+CD4+ T cells with antigen recall and a concurrent decrease in TH17 cell subset frequencies compared to low responders. The presence of a γδ T cell subset displaying polyfunctional cytokine responses was also associated with better vaccine response in the elderly. This comprehensive analysis sheds light on inherent differences in immune cell frequencies and functions that should offer insights for targeted vaccination strategies in older populations.
Effect salicylic acid and silicon on physiological and phytochemical indices of Scrophularia striata L. under water stress
Authors: Shohani Fariba , Sarghien Siavash Hosseini , Fazeli Arash
Published: March 2024

Water stress, a main factor, exerts influence on the physiological and phytochemical responses of plants. Therefore, to scrutinize the physiological and biochemical reactions of Scrophularia striata under drought stress, a factorial experiment was conducted employing a completely randomized design with three replications plants were subjected to varying concentrations of salicylic acid (0 and 100 PPM), silicon (0 and 1 g/L), and drought stress at two levels (50 and 100% of field capacity) within greenhouse conditions. Data analysis results revealed that drought stress leads to an increase in Ca⁺² and Na⁺ levels in Ilam ecotype under the FC50% treatment. Additionally, Mg⁺² levels in Ilam ecotype, under the control × SA treatment, exhibit an augmentation in comparison to the stress treatment. The application of silicon resulted in an elevation of potassium in Abadanan ecotype under the FC50% treatment. Simultaneous utilization of SA and Si would demonstrate an increased K⁺/Na⁺ ratio in Ilam ecotype within the control × SA × Si treatment. Nitrate levels exhibit an increase in Ilam ecotype under the FC50% × SA × Si treatment. The analysis of amino acid compounds in the tested samples showed that drought stress increased Tryptophan in Ilam ecotype in the FC50% treatment, using SA increased Tryptophan, Phenylalanine and using Si increased Argenine and Valine. 45volatile compounds were identified for the first time in the stem of S. striata by technique (GC-MS). In general, the results the simultaneous use of these two compounds can play an effective role in modulating drought stress in S. striata.
Development and Validation of a Machine learning Model for the Prediction of Short-Term Mortality among Patients with Sepsis: A Retrospective Cohort Study
Authors: Hu Xiaocong , Ming Chen , Zhu Qianni , Lu Yonghui , Zeng Lingli , Wai Abraham , Wang Yanli
Published: March 2024

Background: Sepsis, a severe condition arising from the body's response to infection, leading to organ damage, is a major contributor to mortality in intensive care units. This study assesses and compares the predictive performance of six machine learning algorithms in forecasting in-patient mortality among sepsis patients.
Results: There were 6,455 sepsis patients (5,165 for training and 1,290 for internal validation) in Medical Information Mart for Intensive Care IV v2.0 and 411 sepsis patients in eICU Collaborative Research Database v2.0 who met the inclusion criteria. The median age of the patients was 64 years and 61 years respectively. 42 features were retained for model building. The most important features for predicting mortality were urine output, Glasgow Coma Scale score, urine output, average body temperature, age, and lactate. The random forest algorithm performed the best on both the imbalanced and balanced datasets, achieving an AUC of 78.6% and 78.5%, respectively, on the external test set.
Conclusions: This study showcases the applicability of machine learning for outcome prediction in sepsis patients, employing internal and multicenter external validation datasets. The application of the SHAP method enhances model interpretability by providing insights into global explanations, individual explanations, and the interactions between features.
WITHDRAWN: Mathematical Analysis of the Dynamics of Lumpy Skin Epidemics within Delay Differential Equations
Authors: Fadhal Emad , Raza Ali , Baleanu Dumitru , Naveed Muhammad , Defterli Ozlem , Rafiq Muhammad , Ahmed Nauman
Published: March 2024

Cattle are susceptible to an infectious condition called lumpy skin disease (LSD). The disease has caused a drop in dairy products and, occasionally, the death of sick cattle, damaging the economies of the affected countries. Thus, a mathematical model is required to aid the disease's optimal eradication. To address this, we offer a novel mathematical model that helps comprehend disease transmission patterns and provides recommendations for the best ways to manage illness. We verify that the solutions are bounded and positive by looking at the suggested model for the presence of a unique solution. To identify the contagiousness of disease and evaluate the proposed model's local and global stability at equilibrium places, we calculate the reproduction number by the next-generation matrix method. Moreover, figures that confirm the theoretical findings of global stability at equilibrium sites are presented. For local stability, we investigate the well-known result as Routh-Hurwitz criteria for the lumpy skin delayed epidemic model. For global stability, we analyze the notable Lyapunov function stability for the lumpy skin delayed epidemic model. We use sensitivity analysis to identify the reproduction number's most important parameters and visually represent their effects. This study aims to examine different illness prevention strategies to determine which works best.
Decellularized porcine vena cava grafts are fully repopulated after orthotopic implantaiton
Authors: Palek Richard , Massaro Maria Stefania , Cervenkova Lenka , Moulisova Vladimira , Grajciarova Martina , Maleckova Anna , Hosek Petr , Rosendorf Jachym , Polak Robert , Jan Sevcik , Sarcevic Sima , Kepkova Lucie , Korcakova Eva , Mirka Hynek , Tonar Zbyněk , Liska Vaclav
Published: March 2024

Tissue-engineered organs, based on native extracellular matrix (ECM) scaffolds, could be a game changer in regenerative medicine applications. Decellularization technology provides such scaffolds with organ-typic ECM composition and architecture. Despite limitations such as the requirement of huge cell numbers and finding the optimal route of entry, recellularized scaffolds provide alternative grafts for transplantation. In this study we assessed whether decellularized scaffolds, when implanted, are repopulated from the adjacent tissue. Since the vasculature plays an important role in tissue functionality, our main focus was to evaluate in situ repopulation of decellularized veins in a pig model. For this, porcine inferior vena cava grafts were decellularized and orthotopically implanted in recipient pigs (n=12). To evaluate possible immune responses to the scaffolds and to assess potential thrombus formation, cellular allogeneic vena cava grafts were transplanted in control pigs (n=8). Within 28 days after implantation, the decellularized veins were fully recellularized with endothelial cells and smooth muscle cells. Quantitative histological analysis showed a comparable amount of smooth muscle actin in the repopulated decellularized grafts similar to the native IVC. Lymphocyte infiltrates representing signs of graft rejection were not detected in the pigs, as opposed to the control group that received the allogeneic grafts. The decellularized grafts provoked a higher incidence of thrombosis in comparison with allogeneic grafts (33.3 vs. 12.5%). With this study, we show efficient in situ repopulation of decellularized vein grafts. These findings are insightful and promising to further explore the use of decellularized tissue without the need for full pre-transplant recellularization.
Evaluation of the impact of an online video game as an educational intervention on sexual health and the prevention, diagnosis, and treatment of sexually transmitted infection: A randomized controlled trial protocol
Authors: Martinez-Satorres Alba , Roca-Saumell Carme , Escale-Besa Anna , Arcarons-Marti Marta , Fernandez-Segura Francisco Javier , Wagner Carolina Allegra , Pires-Nuñez Pablo , Turmo-Tristan Nuria , Diez-Garcia Lorena , Maron-Lopez Andrea , Marti-Oltra Zulema , Nicolau Marta Vanrell , Torres Sonia Da Silva , Ruiz-Torres Alvaro , Pino-Prieto Pablo , Pillay Dhyaanenshan , Casaldaliga-Sola Angels , Lázaro-Navarro Xavier , Lasagabaster-Uriarte Maria , Martin Maria Isabel Fernandez San
Published: March 2024

Background:
The incidence of sexually transmitted infections (STIs) is increasing, especially among young people. Tools are needed to increase knowledge about sex education and STI prevention and treatment. Gamification can be a good training tool for both young people and health professionals. The primary objective of this study is to assess the impact of a training intervention on STI prevention, detection, and treatment in primary care professionals.
Methods/design: We propose a multicentre cluster randomized controlled trial.
Groups of primary care professionals will receive an intervention (online video game on sex education and STIs [SEXIT]) and will be compared with control groups that will not receive the intervention. Group assignments will be randomized by clusters.
The study will consist of a pre-post evaluation of the intervention: a knowledge test will be administered before and after the intervention and 3 months after the intervention. This test will also be carried out on the same time sequence in the control groups. The impact of the training intervention will be evaluated for 6 months by studying different variables related to the clinical approach to STIs by examining the clinical records of diagnostic tests and antibiotic prescriptions related to the clinical approach to STIs.
The required sample size is 262 (131 per group).
Discussion: Compared with those in the control group, improvements in knowledge and clinical behavioural outcomes after the intervention are expected for participants in the intervention groups. We plan to develop an educational video game to increase the knowledge about sexuality, STIs and violence.

Protocol registered at ISRCTN with reference number 45041.
Development of Mathematical Simulations for the Determination of the Structural Properties of Concrete with Rice Husk Ash (RHA) as a Biocomposite Using Osadebe Second Degree Polynomials
Authors: Akeke Godwin A. , Udokpoh U. U. , Nnaji Charles C
Published: March 2024

The demand for concrete is increasing in tandem with population growth and urbanization. Cement is an important ingredient in concrete production. Cement is a major contributor to global carbon dioxide emissions during its manufacturing processes. Therefore, sustainable alternatives to normal cement are required for the production of sustainable concrete. Rice husk ash has proven intriguing properties as a sustainable alternative for producing green and eco-friendly concrete. Because the laboratory work needed to assess its properties is both time-consuming and complex, regression models can be effectively used to predict the properties of concrete containing rice husk ash. Using Osadebe's second-degree polynomial equation, a mathematical optimization model for predicting the compressive, tensile, and flexural strengths of RHA concrete was developed in this study. The developed model may be used to compute compressive, tensile, and flexural strengths based on the proportions of four constituents in a given mix. Also, a favourable comparison may be drawn between the model and experimental responses. Furthermore, the statistical analysis summary revealed that the model-predicted values were in good agreement with the experimental values. Lastly, some of the optimized mixes attain strength values that are suitable for use in structural or load-bearing concrete.
Adoptions of AI in Education: A Systematic Literature Review
Authors: Arya Suchivrat
Published: March 2024

When talking of Artificial Intelligence, we visually imagine a supercomputer with numerous capabilities, sensors, including adaptive behavior. This immersive technology has taken a vast portion in our day-to-day lives. Not only for corporates, but the education sector has also seen a progressive change after the boom of artificial intelligence. With the usage of information technology, it is inevitable that this technology has impacted education in different ways. The study is aiming to analyze the previous studies conducted in the domain and will try to read how AI has affected the education sector, looking at various aspects of education. This study will use the quantitative content analysis method for analyzing the studies. Researchers will incorporate the major social studies journals i.e., Sage Journals, Taylor & Francis, and Science Direct to find out the studies by using keywords related to technology. Also, will analyze the different themes used in the studies. This research will include the studies for the last ten years from 2013–2023. The expected findings of the study may be the acceptance of artificial intelligence in the education sector by the learners as well as the educators. Other inclusive heads in the education sector may also get help from this technology to make their tasks easier.
Valorization of pineapple (Ananas comosus) by-products in milk coffee beverage: Influence on bioaccessibility of phenolic compounds
Authors: Kocakaplan Zeynep Buse , Ozkan Gulay , Kamiloglu Senem , Capanoglu Esra
Published: March 2024

The industrial processing of pineapples generates a substantial quantity of by-products including shell, crown, and core. Bromelain, a proteolytic enzyme found naturally in pineapple including the by-products, may positively influence the bioaccessibility of phenolics from milk coffee. Therefore, this study aimed to assess how the inclusion of pineapple by-products, namely shell, crown and core, could impact the bioaccessibility of coffee phenolics when combined with milk. After measuring the proteolytic activity of pineapple by-products, the standardized in vitro digestion model of INFOGEST was employed to evaluate changes in total phenolic content, total antioxidant capacity, and individual phenolic compounds of different coffee formulations. The results showed that incorporating extracts from the crown or core in both black and milk coffee increased the bioaccessibility of total phenolics and antioxidants (from 93–114% to 105–129% and 54–56% to 84–87%, respectively), while this effect was not observed for the shell. Moreover, adding core extracts also enhanced the bioaccessibility of caffeoylquinic acids and gallic acid in milk coffee (from 0.72–0.85% and 109–155%, respectively). Overall, the findings of this study highlighted that bromelain from pineapple core may have a favorable effect on the recovery of phenolic compounds in milk coffee.
Collective dynamical regimes predict invasion success and impacts in microbial communities
Authors: Gore Jeff , hu Jiliang , Barbier Matthieu , Bunin Guy
Published: March 2024

Invasions of microbial communities by species such as pathogens can have significant impacts on ecosystem services and human health. Predicting the outcomes of these invasions, however, remains a challenge. Various theories propose that these outcomes depend on either characteristics of the invading species or attributes of the resident community, including its composition and biodiversity. Here we used a combination of experiments and theory to show that the interplay between dynamics, interaction strength, and diversity determine the invasion outcome in microbial communities. We found that the communities with fluctuations in species abundance are both more invasible and more diverse than stable communities, leading to a positive diversity-invasibility relationship among communities assembled in the same environment. As predicted by theory, increasing interspecies interaction strength and species pool size leads to a decrease of invasion probability in our experiment. Although diversity-invasibility relationships are qualitatively different depending upon how the diversity is changed, we provide a unified perspective on the diversity-invasibility debate by showing a universal positive correspondence between invasibility and survival fraction of resident species across all conditions. Communities composed of strongly interacting species can exhibit an emergent priority effect in which invader species are less likely to colonize than species in the original pool. However, in this regime of strong interspecies interactions, if an invasion is successful, it causes larger ecological effects on the resident community than when interactions are weak. Our results demonstrate that the invasibility and invasion effect are emergent properties of interacting species, which can be predicted by simple community-level features.
A Two-Phase Sharp-Interface Numerical Model of Falling Film Thermal Desalination in a Vertical Channel
Authors: Tohidi Yasaman , Ormiston Scott J.
Published: March 2024

A two-dimensional, sharp-interface two-phase laminar flow numerical model for evaporation from a saltwater falling liquid film with a co-current humid air flow on the interior of a parallel plate vertical channel is presented. The elliptic governing equations in both phases are solved simultaneously in an implicit, fully coupled approach. The liquid-gas interface is tracked precisely on an automatically adjusted non-orthogonal structured mesh. The basis of the evaporation model is validated for pure water falling film evaporation. A parametric study of evaporation from a saltwater falling film is presented. The study varies the inlet salinity of the film, the inlet liquid Reynolds number, the wall heat flux, and the air relative humidity. The effects of these variations on quantities such as the evaporation rate, the axial velocity, the salinity in the film, and the temperature are presented. The results demonstrate the capablity of the new model to predict the details of falling film thermal desalination.
Identification of Key Therapeutic Targets of Triptolide Against Breast Cancer by Integrated Transcriptomic Analysis and Co-expression Network Approach
Authors: Yue Luo , Xing Jiang , Chao Wang , Yingqiu Wu , Lu Zhang , Hongwei Luo
Published: March 2024

Background:Triptolide, a natural product extracted from Tripterygium wilfordii, has shown anti-tumor activities against breast cancer (BC). This study aimed to identify potential therapeutic targets of triptolide for treating breast cancer using bioinformatics approaches.
Methods:The transcriptomic data of breast cancer tissues and triptolide-treated breast cancer cells were obtained from public databases. Differentially expressed genes (DEGs) were identified using limma package. Weighted gene co-expression network analysis (WGCNA) was performed to detect modules related to breast cancer progression and triptolide treatment. Hub genes in relevant modules were identified as candidate targets based on module membership and gene significance. The common hub genes were determined as potential therapeutic targets. Functional enrichment was conducted to investigate the biological functions and pathways involved in these therapeutic targets. Then, PPI networks were constructed to explore interactions between them and identify key therapeutic targets. Finally, independent datasets were utilized to validate the expression and diagnostic value of key targets.
Results:A total of 5206 and 2113 targets were identified associated with breast cancer progression and triptolide treatment, respectively. By integrating these two groups of targets, 122 common targets were determined as candidate therapeutic targets of triptolide, which were significantly enriched in tumor-related metabolic pathways, such as pyruvate metabolism, glycolysis/gluconeogenesis, citrate cycle. PPI network analysis identified 10 hub targets, including VIM, DLD, ACAT1, RABIF, ALDH2, RPS20, BIN1, TUBB6, CALM1 and PINK1. Their aberrant expression in cancer was validated, and triptolide could reverse this aberrance. ROC analysis showed their potential as diagnostic markers and therapeutic targets.
Conclusions:Integrated transcriptomic and network analysis identified potential therapeutic targets of triptolide against breast cancer, including key therapeutic targets VIM, DLD, ACAT1, RABIF, ALDH2, RPS20, BIN1, TUBB6, CALM1 and PINK1. Our findings provide novel insights into the mechanisms of triptolide against breast cancer.
Quantitative assessment of ecological flow in the Yellow River under changing environments
Authors: Guo Wenxian , Jiao Xuyang , Wang Baoliang , Huang Lintong , Wang Hongxiang
Published: March 2024

Studying the streamflow characteristics of the Yellow River mainstem under changing environments is of great significance to the management and sustainable development and utilization of water resources in its basin. In this paper, a long short-term memory (LSTM) model is used to restore the flow characteristics of the mainstream of the Yellow River under natural conditions, and the range of variation approach (RVA) and the nonparametric kernel density estimation (KDE) method are combined to quantitatively assess the impact of the changing environment on the streamflow. The study shows that: (1) The hydrological variability of the Yellow River occurred in 1985, and the degree of variability ranged from 26–58%, which is moderate. (2) The annual ecological flow value of the Yellow River ranges from 560 ~ 1001 m3/s, and the annual average ecological flow guarantee is 43%; (3) Through LSTM simulation (NSE > 0.7, R2 > 0.8), it is concluded that the ecological flow assurance in the natural situation of the Yellow River is higher than the measured value, which is mainly affected by human activities, and its contribution rate is more than 52%. This shows that the river ecosystem of the mainstem of the Yellow River is relatively unstable and needs further management.
On Family of Totally Ordered Interval Valued ConvexMappings and Applications
Authors: Cortez Miguel Vivas , Awan Muhammad Uzair , Javed Muhammad Zakria , Meftah Badreddine , Zidan Ahmed M. , Kashuri Artion
Published: March 2024

Inequalities have been examined from multiple viewpoints to identify novel developments and ramifications.One of the prominent strategies in the following area is the development of new unified representationsinvolving various rectified forms of convexity and fractional calculus. Numerous fundamental inequalities,like Hermite-Hadamard, Ostrowski’s, and H¨older’s types, have been assessed in recent years regarding set-valued maps based on various ordering relations. In the progressive article, we define a novel family ofconvex mappings incorporating center-radius relations and quasi-means. The effectiveness of this class isdemonstrated by the fact that by specifying various values of H and ω, we obtain various known and newclasses of I.V. convexity connecting with cr-ordering relations. Furthermore, we construct new genericversions of the Jensen’s like inequalities Hermite-Hadamard(H-H) inequality, Hermite-Hadamard-Fejer(H-H-F) inequality, and product form H-H inequality deploying the freshly proposed class of I.V. convexity andclassical R-L fractional operators. The validation of obtained results is explained with the help of graphicalillustrations and numerical examples. Also, we provide the applications to special means and informationtheory.
Mathematics Subject Classification (2010): 26A33; 26A51; 26D07; 26D10; 26D15; 26D20.
An Investigation of English Language Students' Awareness of Perceptual Learning Style Preferences: Four Public Ethiopian Universities in Focus
Authors: Gencha Mulu
Published: March 2024

This study was conducted to determine the perceptual learning style preferences (PLSP) that the graduating TEFL students followed while learning the English language in the 2022–2023 academic year. People have diversified ways of perceptions, stages of motivation, and attitudes toward learning. They are different from each other in their preferences for acquiring knowledge consistently. The study was aimed to know the kinds and the strategies of PLSP students in the English language with MA Post-graduating classes. It focused on Reid's theory on visual, auditory, kinesthetic, tactile, individual, and group learning styles. As the primary sources of data were the subjects' insights into the learning process, the focus was on the actions that the learners consciously employed to facilitate learning. For the numerical interpretation of data, which were tabulated in a 5-point Likert Scale, percentage and overall mean were used to show the proportion of the participant's response to the close-ended questions. To elaborate on students' awareness of their PLSP, the documents from the questionnaire were tabulated and analyzed quantitatively and qualitatively. The findings indicated that the universities' DELL Post-graduating students' Visual Learning, Auditory Learning, and group learning styles got a preference from the learners to a great extent; whereas, tactile learning styles, Kinesthetic learning, and Individual learning styles were less favored. From these findings, a few recommendations, understanding the importance of learning styles, taking care for effective teaching styles, wide-ranging flexible instructional planning, and using a diversity of teaching aids, have been forwarded Keywords: Auditory, group, individual, kinesthetic, tactile, visual.
Caloric restriction alleviates ischemia-reperfusion-induced myocardial injury in elderly mice via the AKT-mTOR pathway
Authors: Guo Zhijia , Yuan Jiyu , Chen Jinyao , Ying Xiaodong , Wang Meng , Zhang Wenjie , Tian Shouyuan , Wang Chenggang , Fan Linhua , Yan Xiaoyan
Published: March 2024

Caloric restriction (CR) has been shown to improve cardiac function, especially to restore cardiac tolerance during ischemia-reperfusion(I/R). However, evidence about the effects of caloric restriction on the myocardium of aged mice during I/R and mechanisms remain scarce. Our aim was to fill the gap by establishing a mouse model. We determined the effects of CR on fat content, adiponectin and leptin by ELISA. Blood glucose, insulin-related indexes, intraperitoneal glucose tolerance test (IP-GTT) and ultrastructure were also recored and analyzed in aged mice and young mice after I/R. In addition, we also examined the related proteins expression levels of AKT-mTOR pathway in mouse cardiac tissue by Western blot. The results showed that the fat content, the blood glucose and insulin levels decreased after CR, the adiponectin and leptin increased after CR. Besides, CR relieved myocardial injury in mice induced by I/R. Additionally, compared with the elderly ad libitum (AL) group, the expression levels of p-Akt, p-ULK1, and p-FoxO1 proteins in the elderly CR group increased, while the protein levels of p-raptor and p-mTOR decreased. Overall, our results suggested that Akt-mTOR-induced autophagy was involved in the relief of myocardial injury in aged mice on I/R after CR.