bluuebunny/crossref_metadata_2025_split huggingface dataset:
BENEFICIOS Y RETOS DE LA INTEGRACIÓN DE LA NANOTECNOLOGÍA EN LA MEDICINA: UNA REVISIÓN SISTEMÁTICA
Authors: Flores Ysac S. , Abarca Q’orianka S. , Aquije Yahaira P. , Flores Katheryn M. , Aroni Johathan , Capquequi Edgar H. , Peñaranda César A. 
Published: February 2025

La medicina nanotecnológica ha propiciado progresos importantes, proporcionando soluciones revolucionarias para el diagnóstico y tratamiento de enfermedades, aunque aún existen retos, como asegurar su seguridad y escalabilidad. Esta revisión metódica examina las últimas aplicaciones de la nanotecnología en la medicina personalizada, centrándose en su habilidad para elaborar tratamientos de acuerdo con las particularidades de cada individuo. Las nanopartículas se distinguen por incrementar la exactitud en la administración de medicamentos, disminuyendo los efectos adversos, particularmente en terapias para el cáncer. Adicionalmente, tecnologías tales como biosensores y dispositivos de imagen a nanoescala mejoran los diagnósticos, aumentando las oportunidades de éxito en el ámbito clínico. En el ámbito de la regeneración e ingeniería de tejidos, los nanomateriales, al replicar la matriz extracelular, promueven la regeneración celular y la creación de órganos sintéticos. No obstante, todavía persisten preocupaciones respecto a la biocompatibilidad de estos materiales, dado que aún no se ha entendido completamente su interacción con los sistemas biológicos ni los posibles impactos en el futuro. La producción y supervisión de la calidad de los nanomateriales son costosas y técnicamente complicadas, lo que obstaculiza su accesibilidad y escalabilidad. Además, la ausencia de normativas definidas demora la puesta en marcha de estas innovaciones. Esta revisión no solo aspira a reunir éxitos fundamentales, sino también a impulsar la propagación del saber en América Latina, donde el acceso a datos científicos especializados es restringido, impactando a alumnos e investigadores. Con más estudios sobre interacciones biológicas y normalización de procesos, la nanotecnología podría establecerse como un instrumento de cambio en la medicina, mejorando los tratamientos y potenciando la salud pública en la región.
Psilocybin mushroom stewardship: A qualitative inquiry into practices and priorities of “underground” psilocybin mushroom practitioners
Authors: Hughes Shannon , Terpak Lucia , Capps Reilly , Peters Pam , Lilly Nicole , Rivard Dylan 
Published: February 2025

AbstractBackground and AimsNetworks of so-called underground, or illegal, psilocybin mushroom practitioners are popularly known to exist, though few systematic investigations of their practices have been conducted. We sought to uncover the experiences of a hidden community of psilocybin practitioners in order to inform scientific and policy dialogues about safe and effective practices in this area.MethodsAn academic-community partnered research team used snowball sampling to recruit 17 underground psilocybin practitioners in a western U.S. state for in-depth individual interviews focused on training, protocols, practices, and policy priorities. Combined deductive and inductive analysis with three independent coders was completed using NVivo v12.ResultsPractitioners were white (76.5%), female-identified (64.7%), aged 31 to 50 (64.7%), non-therapists by training (58.8%), and moderately to highly experienced facilitators. All described multiple years of often difficult personal inner-directed work with psilocybin before guiding others. Benefits ranged from reduction in symptoms of depression, obsessive-compulsive disorder, and addictions to greater self-knowledge, reduced death anxiety, and a greater ability to experience joy. Client screening protocols revealed precautions for persons with severe trauma backgrounds, personality disorders, or lacking social support. Moving too quickly into a high dose mushroom session without adequate preparation or internal resourcing was perceived as a significant risk for harm. Practitioners' direct personal relationship with mushrooms was highlighted as critical to safe practice. Policy priorities centered on respectful reciprocity, defined as an ethos of giving back rather than extraction, and equitable access.ConclusionsWhile some psychedelic research actively examines the role of the mystical-type experience in clients' positive outcomes, findings from underground practitioners suggest an even greater role of mysticism, relationality, and expanded concepts of holistic healing that can inform the development of best practice paradigms of an emerging profession.
Stress Distribution Analysis in Bone Adjacent to Implant in Various Abutment-Implant Connection Designs Using Finite Element Analysis
Authors: Ghasemi Ehsan , Fathi Amirhossein , Mohammadi Daryoush , Salehi Sepideh 
Published: February 2025

Abstract

Introduction: Natural teeth have a periodontal ligament with viscoelastic properties, while implants are connected to the bone with a strong connection and osseointegration; therefore, the stress on the adjacent bone of the implant and its prosthetic components is more than that of natural teeth. This study examines the connection (Morse different tapers) to find the most suitable length and Morse angle of the taper and the angle of applying the force on the tooth to create the least stress using finite element analysis.
Materials and methods: Geometrical and 3D models of the mandible bone, implant, and its prosthetic components were made using engineering software and sizes of the Dio implant manufacturer. In this modeling, four types of connections with different lengths and tipping angles were designed, and then a constant force of 200 N was applied to them. Stress distribution was investigated in this experiment in 12 different conditions: two Morse taper lengths (1.3 mm and 2.6 mm), two Morse taper angles (11 degrees and 16 degrees), and three force application angles (0 degrees, 30 degrees, and 45 degrees).
Results: By increasing the length of the Morse taper from 1.3 mm to 2.6 mm, the amount of stress in the bone adjacent to the implant and its prosthetic components is reduced. By increasing the tipping angle of the Morse taper from 11 degrees to 16 degrees, the amount of stress in the bone adjacent to the implant, the fixture, and the abutment decreases. Furthermore, by increasing the tipping angle of the morse from 11 degrees to 16 degrees the amount of stress in the implant screw increases. Increasing the angle of the force applied to the implant increases the amount of stress in the bone adjacent to the implant and its prosthetic components.
Conclusion: The best Morse taper connection to create the least stress on the bone surrounding the implant and its prosthetic components is a long taper Morse with a length of 2.6 mm and a greater tipping angle (16 degrees), This stress is less at the vertical force application angle.
RILEM TC 309-MCP: recommendation on terminology for mineral carbonation construction products
Authors: Snellings Ruben , Matschei Thomas 
Published: February 2025

Abstract
This recommendation is an outcome of the work carried out by RILEM Technical Committee 309-MCP “Mineral Carbonation for the Production of Construction Materials”. To facilitate exchange in the rapidly developing field of mineral carbonation for construction materials, technical terminology covering specific terms of common interest is proposed. This terminology was developed in an iterative feedback process within the technical committee.
The presented terminology is recommended for use in the field of mineral carbonation technology applied to the production of construction materials and products.
How to Measure the State of Flow in Learning? Testing of the Study-Related Flow Inventory on a Sample of Russian Students
Authors: Иванова Алина , Денисов Илья 
Published: February 2025

The state of "flow" is experienced by a person who is so immersed in an activity that he or she is not paying attention to anything around them. Flow state can play an important role in educational achievement. Researchers around the world have shown that a flow state is positively related to self-esteem, life satisfaction, psychological well-being, and, to some extent, educational achievement in students. There are currently no questionnaires in Russian that can measure the flow state in learning quickly and reliably enough. This paper will describe the process of localizing the study-related flow inventory in Russian and present the initial results of its validation. Validation was conducted on a sample of about 600 individuals who, at the time of the survey, were in the process of learning. Confirmatory factor analysis was used to gather evidence of construct validity; the functioning of the scale for different groups of survey participants was also investigated; in addition, the item response theory was applied to assess the reliability of the scale, to assess the quality of individual scale items, and to investigate the functioning of individual categories. Like the original version, the Russian-language scale is quite reliable and also demonstrates invariance to the conditions of heterogeneous samples of subjects: by gender, by work/study status, and by the way the sample was obtained. The application of the scale in the Russian context highlighted the problem with the scale structure, which was previously shown by researchers from some countries when trying to adapt the scale into the languages of their countries. Overall, the Russian-language version of the study-related flow inventory can be successfully applied in Russian research practice.
Como a modelagem do vestuário colaborar para uma melhor vestibilidade nas camisas das fardas das mulheres congadeiras sem perder a estética cultural
Authors: Chaves Patrícia 
Published: February 2025

Este é o resumo:
As congadas fazem parte de uma cultura ancestral, assim é fundamental aprimorar o conhecimento acerca das roupas que fazem parte dessa manifestação. Sendo assim, o âmbito da moda e modelagem do vestuário traz a possibilidade de aprofundar neste estudo, atendendo uma área pouco explorada. O intuito desse estudo consiste em desenvolver a modelagem da camisa de uma farda de congada feminina que atenda os critérios ergonômicos e de usabilidade para o corpo feminino. O estudo foi abordado por uma pesquisa bibliográfica, exploratório. Por tanto, para as melhorias das fardas das mulheres congadeiras foram pensadas e realizadas intervenções que facilitem os movimentos durante a apresentação.

Palavras-chave: Moda; vestimenta; representação cultural.
Funkcja manipulacyjna prozodycznych operatorów interakcyjnych
Authors: Grzegorzewska Anita 
Published: February 2025

Wśród badań nad klasą zjawisk manipulacyjnych brak jest prac wyjaśniających wpływ prozodii na proces ustalania manipulacyjnego sensu komunikatów. Odnosząc się do założeń metodologicznych autorka bada manipulacyjną rolę operatorów interakcyjnych.
Wpływanie na odbiorcę za pomocą warstwy dźwiękowej wypowiedzi należy do chwytów manipulacyjnych, gdy spełnione są dwa warunki: manipulator posługuje się prozodią w pełni świadomie, aby kontrolować emocje, myśli i zachowanie odbiorcy; słuchacz jest manipulowany nie do końca świadomie lub całkowicie nieświadomie.
Stacked-Pay Development Insights from Routine Sealed Wellbore Pressure Monitoring (SWPM)
Authors: Elliott Brendan , Haffener Jackson , Ingle Trevor , Haustveit Kyle , Black Travis , Ketter Chris , Ashley Nick , Green Brett 
Published: February 2025

Abstract
Over the past 5 years, cross-well strain measurements during hydraulic fracturing such as Sealed Wellbore Pressure Monitoring (SWPM) and fiber optics, have enabled direct measurements of fracture growth. Routine collection of SWPM data by Devon Energy has resulted in a substantial cross-well dataset that provides unique insight into fracture growth across multiple North American basins. Through these datasets, the length, height, shape, and spatiotemporal evolutions of a given formation's hydraulic fracture is seen to vary dramatically.
For this analysis, the authors selected good quality SWPM datasets from stacked-bench horizontal developments across multiple basins. The data was analyzed to understand fracture length and height growth, leveraging simple concepts and analytical models to calibrate fracture growth in vertically offset monitoring benches. Insights into the geometry was farther compared to stress logs and fracture models to build a robust explanation of the observed geometry.
This analysis shows there is no standard fracture geometry seen across formations, quantified by a simple ratio of fracture length to height of the dominant fracture measured through SWPM and other strain-based diagnostics. Certain formations exhibit strong vertical containment resulting in vertically short fractures, with wells exceeding a fracture length/height ratio of 20, (e.g. 4000-foot length and 200-foot height). Other formations are higher stress than overlaying/underlying rock, resulting in an hourglass geometry of uncontained growth with length/height ratios around 2.5 (e.g. 3000-foot length and 1200-foot height). Often these geometries were unexpected and contradicted uncalibrated fracture models, showing the importance of calibration in modeling.
This paper demonstrates the value of extensive cross-well strain datasets such as SWPM for a formation for informed development decisions. Furthermore, the work shows large variation in fracture geometry that is more strongly tied to the inherent permeability and stress state of the rock than any control from completion design.
WITHDRAWN: Compact Two Elements MIMO Antenna: Isolation and Gain Enhancement by Using FSS for Ultra-wideband Applications
Authors: Azharuddin Mohd , Mondal Kalyan , Singh Shougaijam Chinglemba 
Published: February 2025

Abstract

The full text of this preprint has been withdrawn by the authors due to author disagreement with the posting of the preprint. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Scenario-based tsunami hazard assessment at Kolumbo volcano
Authors: Tadini Alessandro , Cerminara Matteo , Paris Raphaël , Neri Augusto , Sparks Stephen R. J. , Vougioukalakis Georges , Koutroulli Anna , Calusi Benedetta 
Published: February 2025

Abstract

Volcanic-induced tsunamis have a potentially devastating impact, especially in densely populated and/or touristic coastal areas. Kolumbo submarine volcano (Greece) experienced in 1650 CE an explosive eruption with eyewitnesses’ accounts of major tsunamis along the coasts of Santorini (Thera) and other islands. We present a scenario-based tsunami hazard assessment at this volcano based on existing simulations from literature and new simulations of tsunamis triggered by a less investigated but important mechanism, i.e. submarine landslides on the volcano flanks or within its crater. Simulations results show that the remobilization of a landslide volume of 150–300 Mm3 inside the crater can produce tsunami waves larger than 10 m high along the NE coast of Thera and of the order of 5 m along the E and SE coasts. The expected tsunami arrival time ranges from 2–3 minutes along the NE coast of Thera up to 8–10 min on its SE coast. Such scenarios produce inundation areas consistent with those reconstructed for the 1650 CE event, and tsunami waves propagating inland at velocities from 2 to 12 m/s. Simulation results also suggest that, given the landslide parameters assumed, it is unlikely to mobilize a landslide with a large volume from the SW-facing Kolumbo crater slopes, given the relatively gentle topo-bathymetry of this area. The study findings are relevant based on the outcomes of the expert elicitation exercise carried out in parallel, which indicate that chances of having waves larger than 1 m high on the NE coast of Thera have median probabilities of 50–60%.
One-shot Cryo-EM Complex Structure Determination with High Accuracy and Ultra-fast Speed.
Authors: Wang Jue , Tan Cheng , Gao Zhangyang , Zhang GuiJun , Zhang Yang , Li Stan 
Published: February 2025

Abstract

While cryo-electron microscopy (Cryo-EM) yields high-resolution density maps for complex structures, accurate determination of the corresponding three-dimensional atomic structures still necessitates significant expertise and labor-intensive manual interpretation. Recently, AI-based methods have emerged to streamline this process in the biological community; however, several challenges persist.
First, existing methods typically require multi-stage training and inference, causing inefficiencies and inconsistency between stages. Second, these approaches often encounter bias in aligning predicted atomic coordinates with sequence. Researchers have utilized Hidden Markov Model(HMM) or Traveling Salesman Problem (TSP) algorithms to explore the sequence space, which incurs substantial computational costs. Lastly, due to limitations of available datasets, prior works struggle to generalize effectively to complicated and unseen test data, a common problem in machine learning.
In response to these challenges, we introduce End-to-End and Efficient CryoFold, or E3-CryoFold for short, a deep learning method that enables end-to-end training and one-shot inference. E3-CryoFold employs both 3D and sequence Transformers to extract features from density maps and sequences, using cross-attention modules to integrate the two modalities. Additionally, it utilizes an equivariant graph neural network to construct the atomic structure based on the extracted features.
Importantly, E3-CryoFold incorporates a pretraining stage, during which models are trained on simulated density maps derived from Protein Data Bank (PDB) structures. Empirical results demonstrate that E3-CryoFold improves the average TM-score of the generated structures by 400\% as compared to Cryo2Struct and achieves this huge improvement using merely 1/1000 of the inference time as required by Cryo2Struct. Thus, E3-CryoFold represents a robust, streamlined, and cohesive paradigm for Cryo-EM structure determination.
Invasive versus conservative management of older patients with non-ST- elevation acute coronary syndrome: A Systematic Review and Meta-analysis of Randomized Controlled Trials
Authors: Fan Shijie , Yuan Xiang , Wan Jun , Wang Peng , He Jinfeng , Li Kuilin , You Qiaoyu , Hou Jiayi , Li Xiao , Yang Xinyu , Xiang Ziyan , Luo Xiaohong , Rao Yang , Zhang Yu 
Published: February 2025

Abstract

Background
The benefits of conservative treatment versus invasive strategies for elderly patients with non-ST-segment elevation acute coronary syndrome (NSTEACS) remain ambiguous. Consequently, this systematic review and meta-analysis aimed to assess and compare the effects of invasive versus conservative treatment strategies in elderly patients diagnosed with NSTEACS.
Methods
We searched PubMed, EMBASE, and the Cochrane Central Register of Controlled Trials from inception to October 2024 to identify RCTs comparing invasive versus conservative management in elderly patients with non-ST-elevation acute coronary syndrome. The primary outcome was all-cause mortality at 1 year, with secondary outcome including myocardial infarction (MI).
Results
Seven trials (2997 patients) reported primary outcome data, with six also providing data on myocardial infarction. At 1-year follow-up, there was no difference in all-cause mortality between the invasive treatment group and the conservative treatment group (RR 1.05, 95%CI 0.94 to 1.18, I2 = 0%) After a one-year follow-up, but invasive treatment reduce the risk of myocardial infarction (RR 0.74, 95%CI 0.57 to 0.95, I2 = 38%).
Conclusion
In the elderly with Non–ST-segment elevation myocardial infarction, invasive treatment did not improve all-cause mortality at 1-year follow-up compared to conservative management. However, it was found to significantly lower the risk of myocardial infarction.
Paraventricular nucleus CRH neurons regulate acute lung injury via sympathetic nerve–neutrophil axis
Authors: Dai Ru-ping , Li Hui , Liu Tao , Wang Yang , Miao Xue-Mei , Xiong Yi-Yu , Zhao Qian , Shen Wei-Yun , Su Fuhong , Chen Kang 
Published: February 2025

Abstract

Acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) are severe conditions with high morbidity and mortality, and effective treatments are limited. Neuroimmune interactions play a critical role in lung homeostasis, but it remains unclear if specific brain regions regulate lung inflammation. Here, we unveil the critical role of neuroimmune signaling in ALI, focusing on the regulatory function of corticotropin-releasing hormone (CRH) neurons in the paraventricular nucleus (PVN) of the hypothalamus. Using viral tracing, chemogenetic modulation, and pharmacological interventions in mouse models of ALI induced by intranasal lipopolysaccharide and cecal ligation and puncture (CLP), we found that lung injury activated CRHPVN neurons that projected to the lung. Activation of these neurons protected mice from ALI and death, reducing neutrophil infiltration and effector functions in the lung. In contrast, inhibiting CRHPVN neurons exacerbated ALI. Notably, the beneficial impact of CRHPVN neuron activation is compromised by the pulmonary chemical sympathectomy or inhibition of the β2-adrenergic receptor. These protective effects were dependent on sympathetic nerves, with norepinephrine released locally to modulate neutrophil functions via β2-AR–β-arrestin2 signaling, inhibiting the NF-κB pathway. Our findings reveal a brain-lung axis that regulates immune responses in ALI, suggesting novel therapeutic targets for ALI and ARDS.
OGAN-POW and Ensemble-Based Learning for Preserving Privacy in Financial Institutional
Authors: Bijalwan Jyotsna Ghildiyal , Bijalwan Anchit 
Published: February 2025

Abstract

AI and Blockchain applications are essential for modernizing outdated multimedia business models, technological processes, and industrial processes. It combines smart contracts and frames resilient technology to simplify service prices. The association of significant characteristics like instantly and securely self-verification with blockchain applications eliminated accessing the use of trustworthy third parties. The industrial 4th revolution employs AI Technology (AI) to analyze and retrieve vital information from real-world systems and hence produces the result of evolving scientific and industrial advancement. In order to increase system efficiency, it also uses digital analytics to connect the data with cloud and blockchain repositories. Investigating A.I. technologies and methodologies is still difficult due to security and privacy concerns. To protect privacy in financial institutions, the work suggests an Optimal Generative Adversarial Network-Based Proof of Work (OGAN-POW) consensus and 90%CI-Ensemble learning for malicious activity detection. The proposed framework is capable of performing a smooth node selection, system operations, service warnings, potential threats, and bogus allegations. Finally, Ensemble-based learning is used to examine data exchange and sharing. Ensemble learning evaluates the transactional services to reduce system strain and determines whether the transmission rate varies due to network connectivity issues. The results of the experiments show that the proposed methodology tends to achieve high throughput with low average latency and remains to be highly secure as compared to the methods currently considered to be state-of-the-art.