bluuebunny/crossref_metadata_2025_split huggingface dataset:
ПАЦИФИЗМ И ИММОРТАЛИЗМ КАК УТОПИЧЕСКИЕ ФОРМЫ ПРЕОДОЛЕНИЯ ВОЙНЫ И СМЕРТИ
Authors: Малахаткин Евгений Олегович 
Published: December 2024

В статье раскрывается утопический характер иммортализма и пацифизма в контексте антиномий смерти и войны, характерного для русской философии.
Целью статьи является необходимость показать, что война и смерть порождают наиболее распространенные формы преодоления — иммортализм и пацифизм, которые приводят к обратным результатам: «смерть человека» в трансгуманизме и ослабление боеспособности армии и безопасности государства в пацифизме.
Методологическую базу представляют позиции русских философов, которые иллюстрируют мысль о том, что не только смерть создает трагизм жизни, что жизнь трагична и до, и вне смерти, она трагична по существу. По мнению некоторых философов, пацифизм и имморализм беспомощны и способны нанести гораздо больше вреда, чем то, с чем они борются. Они не учитывают онтологические и этические основания жизни и смерти, что приводит к искажённому восприятию этих явлений.
Результатом исследования является критерий, который представляется важным при восприятии войны и смерти как трагических событий, поскольку позволяет увидеть саму войну как проявление изначального трагизма жизни. Это избавляет от пацифистской абсолютизации войны как зла и дает возможность проанализировать этот феномен в реальных истоках, сущности и нахождения действенных, а не утопических способов преодоления, также избавляет от иммортализма как утопии преодоления от смерти научно-техническим путем.
Перспективу исследования составляет углубленный анализ проблемного поля утопических форм преодоления войны и смерти. Пацифизм и иммортализм возникают как следствие неантагонистического восприятия смерти и войны, рассматриваемых в качестве предельных зол как в природной, так и в социальной сферах. Иммортализм, проявляющийся в форме сциентистской утопии, стремится к преодолению смерти, представляя собой материалистический и безнравственный путь к достижению физического бессмертия через биотехнологические достижения, как и пацифизм, который служит гуманистической утопией в борьбе с войной. Подобный подход к войне как к явлению с глубинными основаниями является характерным для русской философской традиции.
Espacio y fe en la Amazonía peruana. Sociedades religiosas y modelos de organización espacial
Authors: Novoa Goicochea Zaniel 
Published: December 2024

Este artículo presenta las relaciones entre geografía y religión basado en la hipótesis de que las prácticas religiosas de los colectivos humanos participan en la construcción del espacio y en la generación de modelos de organización espacial en la Amazonía peruana. El objetivo del presente estudio es describir las formas de ocupación del territorio y los modelos de organización del espacio que surgen a partir de dichas prácticas. Se desarrolla una aproximación teórica sobre la organización espacial con énfasis en los factores sociales y culturales, y se pone en práctica un proceso metodológico descriptivo apoyado en un amplio trabajo de campo, entrevistas, revisión bibliográfica, elaboración de cartografía y esquemas coremáticos. Todo esto contribuye a presentar las estructuras sociorreligiosas y los modelos de organización que corresponden a los tres casos de iglesias estudiadas. Los principales aportes se sintetizan en la confirmación de la relación entre geografía y religión, la comprensión de las vínculos entre la sociedad y el territorio ligadas con prácticas que se basan en el ejercicio de la fe, y la comprensión de los siguientes postulados y conceptos de la geografía de la religión: factores socioculturales, estructuras sociorreligiosas, paisajes religiosos, modelos de organización del espacio y otros.
La industria automotriz en México durante las recientes crisis: reorganización productiva y perspectiva geopolítica
Authors: Arciniega Rosa Silvia 
Published: December 2024

La crisis sanitaria de 2020-2021, la escasez de microcomponentes desde 2021 hasta la fecha, y las múltiples tensiones geopolíticas en curso (especialmente entre Estados Unidos y China) han tenido un impacto significativo y continuo en la industria automotriz. Estos eventos han generado disrupciones en las cadenas de suministros, evidenciando las vulnerabilidades de una industria que trabaja bajo el sistema de producción Justo a Tiempo. En este contexto, el nearshoring ha adquirido relevancia como estrategia para asegurar una cadena de suministro resiliente y eficiente en lo que respecta a los parámetros temporales y económicos. El objetivo de esta investigación es describir el panorama de la industria automotriz en México durante las recientes crisis –iniciadas en el año 2020 y que aún persisten impactando el contexto del comercio internacional–, identificando el nearshoring como una estrategia de negocios vinculada a una reestructuración productiva con el propósito de gestionar los riesgos en la compleja cadena de producción. Se plantea que el contexto postpandémico insta a una reconsideración de la estructura de las actividades productivas de la industria automotriz mexicana, la cual tiene un impacto no solo a nivel sectorial, sino también regional. Además, el aumento de costos de producción en China también posiciona a México como un socio comercial atractivo que posee la posibilidad de iniciar operaciones relacionadas con productos similares a los provenientes de Asia. Las reestructuraciones productivas y geográficas, que incluyen procesos de deslocalización y el retorno significativo de la producción a los países de origen (relocalización de empresas y divisiones), imponen la necesidad de considerar el rol que desempeñará México en el cambiante contexto geopolítico y económico.
Hypnopressure Innovation: A Non-Invasive Method For Anxiety And Pain Management In Primigravida Women During Active Labor
Authors: Yeni Fitrianingsih  , Hanung Prasetya  , Rani Widiyanti  
Published: December 2024

Psychological factors, fear, and anxiety are often responsible for prolonged delivery length, with 58% of primigravida women experiencing anxiety and 2-4% feeling pain scored between 30 – 40 out of 50 Hypnopressure (HP) is a combination of hypnotherapy and acupressure on the san yin jiao point (Sp6) and hegu point (Li4) 20 times in 3-5 seconds during the first stage of labor contractions.. Therefore, this study aimed to determine the effect of HP on Hegu (Li4) and Sanyinjiao (Sp6) points in reducing anxiety level and pain degree during the active phase of the first delivery stage among primigravida women The design used was a double-blind randomized pre-test and post-test controlled trial, which included 80 subjects. To compare the effects of different interventions and determine which particular intervention is more effective, they were divided into groups. Hypnopressure (HP), hypnotherapy (HA), acupressure (AK), and control (K), each consisting of 20 individuals.The treatment interventions were conducted in the active phase of the first delivery stage, followed by Wilcoxon and Kruskal Wallis statistical tests. The treatment groups of HP (p=0.000), HA (p=0.000), and AK (p=0.002) experienced decreasing anxiety levels. Kruskal Wallis post-test results (after treatment) showed a significant difference (p = 0.000), where HA had the lowest decrease in anxiety compared to the other three groups. Additionally, the degree of delivery pain (p=0.000) was lower in the HP group (4.00±1.496) than in the other three groups. There was a significant difference between the four treatment groups (p=0.000), with HP subjects experiencing lower pain than HA (p=0.000), AK (0.000), and K (p=0.000), suggesting that HP treatment could decrease the level of anxiety and delivery pain degree.
Chemometric Approaches for Sustainable Pharmaceutical Analysis Using Liquid Chromatography
Authors: Aboushady Dina , Samir Liza , Alaa Masoud Alaa , Elshoura Yasmin , Mohamed Abdelgawad , Hanafi Rasha S. , El Deeb Sami 
Published: December 2024

Chemometrics, which applies mathematical and statistical methods to aid experimental design, data analysis, and process optimization, is gaining more importance. It plays an important role in enhancing the sustainability of analytical methods when integrated with green analytical chemistry. Applying chemometrics to liquid chromatographic methods can speed up the analytical method, saving time, energy, and solvent consumption. This would be reflected by a low energy footprint and environmental impact. This review briefly discusses the application of chemometric methods like multivariant data analysis, design of experiment, retention time prediction, and peak deconvolution in green liquid chromatographic analysis of pharmaceuticals. The integration of chemometrics in sustainable chromatographic analysis will continue to revolutionize the field and further whitening analytical methods with better performance.
Laws Limiting Access to SNAP Benefits for People With Felony Drug Convictions: A Policy-Mapping Study
Authors: Shah Hridika , McCourt Alexander D. , Bandara Sachini 
Published: December 2024

Objectives. To map US state Supplemental Nutrition Assistance Program (SNAP) bans for individuals with felony drug convictions between 2004 and 2021. Methods. Using standard legal-mapping methodology, we categorized states as maintaining the lifetime ban imposed by federal law, modifying the lifetime ban, or fully opting out of the lifetime ban in each year. Among states with modified bans in 2021, we coded types of modifications. Results. As of 2021, 26 states and the District of Columbia fully opted out of the lifetime ban, 23 states modified bans, and 1 state maintained a lifetime ban. Among states with modified bans in 2021, 13 states required compliance with parole and probation, 12 states required drug treatment, 7 states required drug testing, and 9 states limited eligibility to certain populations. Conclusions. Most states effectively de-implemented the federal lifetime ban on SNAP for people with felony drug convictions by fully opting out or modifying bans over time. However, some states still had stringent modified ban provisions. Public Health Implications. These findings underscore the need to study the effects of this patchwork of drug conviction–related ban policies on substance use and nutrition-related outcomes. ( Am J Public Health. 2025;115(2):170–177. https://doi.org/10.2105/AJPH.2024.307873 )
The effects of high-intensity interval training on cognitive performance: A systematic review and meta-analysis
Authors: Liu Kaihang , Zhao Wei , Li Congcong , Tian Ying , Wang Lijuan , Zhong Jingyi , Yan Xu , Wang Yezheng , Wang Liyan , Wang Hongbiao 
Published: December 2024

Abstract

Cognitive decline is an important feature of an aging population. Despite the large body of research investigating the effects of high-intensity interval training (HIIT) on cognitive performance, reports of its effectiveness are inconsistent and it is difficult to determine what factors moderate these effects. The purpose of this study was to conduct a meta-analysis of existing randomised controlled trials investigating the effects of HIIT on various domains of cognitive performance, and to further examine the intervention cycle and age-related moderating effects. A comprehensive literature search was conducted across a range of databases, including PubMed, Embase, the Cochrane Library, Web of Science, Scopus, and EBSCO. The meta-analysis included data from 20 RCT studies. The results of the analyses demonstrated that HIIT significantly enhanced information processing (SMD = 0.33, 95% CI: 0.15 ~ 0.52, P = 0.0005), executive function (SMD = 0.38, 95% CI: 0.26 ~ 0.50, P < 0.00001), and memory (SMD = 0.21, 95% CI: 0.07 ~ 0.35, P = 0.004). Subgroup analyses demonstrated that HIIT enhanced information processing in individuals aged 60 and above, improved executive functioning in individuals of all ages, and enhanced memory in individuals aged 30 to 60. Acute HIIT improved executive function, less than 8 weeks of HIIT improved executive function and memory, and more than 8 weeks of HIIT improved information processing, executive function and memory. The findings of this study indicate that HIIT has a beneficial effect on cognitive performance. Chronic HIIT represents a potential non-pharmacological intervention for cognitive health. Further high-quality research is required to validate and extend these findings.
Experimental study of condensation heat transfer in tubes under centrifugal force
Authors: Zhang Leigang , Ru Meng , Zhang Yonghai , Li Guopei , Chen Zhenqian , Chen Gang , Wu Xuehong 
Published: December 2024

Abstract

In this study, fluid flow during condensation in a tube under different gravity conditions is simulated by utilizing centrifugal force to offset gravitational effects. The role of fins, tube diameter, and vapor mass on the two-phase flow pattern, temperature distribution, and pressure drop is investigated. The results show that gravity, pipe diameter, and steam quality have a significant effect on the flow pattern. The flow characteristics were also significantly affected by the operating parameters, with undulating and laminar flow dominating, while bubbling flow emerges under specific conditions. In microgravity environments, as vapor mass decreases, the temperature drop diminishes progressively compared to normal gravity conditions. Under normal gravity and low flow conditions, the average temperature of finned tubes increased by 7°C to 16.4°C relative to bare tube temperatures, and the pressure drop escalated by up to 56%. The introduction of fins notably enhanced heat transfer efficiency and facilitated a more uniform temperature distribution. However, this enhancement in heat transfer was accompanied by an increase in pressure drop due to the heightened resistance to fluid flow caused by the presence of fins. These experimental insights offer a deeper comprehension of fluid behavior under diverse gravity conditions and lay a scientific foundation for designing future thermal management systems.
A Novel Multimodal and Multiscale Method for Intelligent Operation and Maintenance of Transformers Based on the Improved Deep Visual Large Model DETR+X and Digital Twin
Authors: Zhang Xuedong , Sun Wenlei , Chen Ke , Song Shijie 
Published: December 2024

Abstract

To achieve real-time monitoring and intelligent maintenance of transformers, a framework based on deep vision and digital twin has been developed. An enhanced visual detection model, DETR + X, is proposed, implementing multidimensional sample data augmentation through Swin2SR and GAN networks. This model converts one-dimensional DGA data into three-dimensional feature images based on Gram angle fields, facilitating the transformation and fusion of heterogeneous modal information. The Pyramid Vision Transformer (PVT) is innovatively adopted as the backbone for image feature extraction, replacing the traditional ResNet structure. A Deformable Attention mechanism is employed to handle the complex spatial structure of multi-scale features. Testing results indicate that the improved DETR + X model performs well in transformer state recognition tasks, achieving a classification accuracy of 100% for DGA feature maps. In object detection tasks, it surpasses advanced models such as YOLOV8 and Deformable DETR in terms of mAP50 scores, particularly demonstrating significant enhancements in small object detection. Furthermore, the Llava-7b model, fine-tuned based on domain expertise, serves as an expert decision-making tool for transformer maintenance, providing accurate operational recommendations based on visual detection results. Finally, based on digital twin and inference models, a comprehensive platform has been developed to achieve real-time monitoring and intelligent maintenance of transformers.
Progress in Mentalizing Ability among People with Psychosis through Dialogic Literary Gatherings
Authors: Fernández-Villardón Aitana , de Ibarra Alfonso Sáez , Domínguez-Panchón Ana , García-Carrión Rocío 
Published: December 2024

Abstract

Background: People with psychosis have a defragmented sense of self that prevents them from integrating perceptions, memories, thoughts and emotions of themselves and others. Therefore, interventions that enhance mentalization processes and promote reflection are necessary for a global recovery. These processes are acquired in a natural way through quality interactions and dialogues, thus, incorporating a dialogic approach in the treatment of psychotic disorders may be essential for recovery.
Methods: This research analyzes the impact of Dialogic Literary Gatherings (DLG) on the mentalization development of people with psychosis. A quasi-experimental study with a mixed methods design was conducted with 23 participants (6 women and 17 men) with psychosis who participated in DLGs for 5 months. The sessions (n=54), interviews (n=2) and focus groups (n=3) were transcribed and analyzed and mentalization was assessed using the Mentalization Scale.
Results: Results demonstrate an increase in mentalizing towards others and toward him or herself, and in motivation to mentalize. Interactions emerged in DLGs show empathy and understanding others’ feelings, as well as awareness of differences between people. Besides, sharing feelings within this dialogic environment promotes reflection about past experiences and purpose in life. Consistently, patients perceived these dialogues as a useful tool to reflect about aspects of their life and to change their mind by externalizing deep emotions.
Conclusions: This research sheds light on how Dialogic Literary Gatherings are a tool for increasing mentalizing among clinical populations.
Improving Hokkai Shrimp Tracking Accuracy in Eelgrass Ecosystems Using YOLOv8 with Reflection and Parallax Correction
Authors: Okada Natsuo , Kubo Serina , Zhu Yanhui , Takizawa Kaito , Wakae Shion , Nakamura Amane , Igawa Sakura , Ohtomo Yoko , Minami Kenji , Miyashita Kazushi , Kawamura Youhei 
Published: December 2024

Abstract

Eelgrass ecosystems provide essential habitats for species, such as the Hokkai shrimp (Pandalus latirostris), supporting biodiversity and sustainable fisheries. Understanding shrimp behavior in these environments is vital for conservation efforts, yet accurately tracking shrimp movement in controlled tank settings is challenging because of surface reflections and parallax distortions. This study introduces a novel, noninvasive You Only Look Once (YOLO) tracking system that uniquely addresses these issues by integrating proximity-based filtering to remove reflection artifacts and horizontal barrel transformations to correct parallax distortions. Through controlled tank experiments, the system accurately quantified shrimp movements and captured metrics such as distance, velocity, and angle to assess behavioral responses to acoustic telemetry pingers. The results showed a high detection accuracy, with success rates of 95.65% and 100% from the front and side views, respectively, ensuring reliable data on shrimp movement and pinger impact. These findings lay the groundwork for field applications, advancing methods for ecosystem service quantification, and supporting sustainable fishery management and biodiversity conservation in eelgrass ecosystems.
Cloud security using Biometric authentication and 6D Hyper Chaotic System
Authors: Joshi Anand B. , Singh Sonali , Sagar Richa 
Published: December 2024

Abstract

Nowadays, cloud computing is more frequently used to store data, especially digital images. The security of digital images in the cloud is very crucial. Here in this research paper, a technique is proposed to secure the cloud images. Biometric authentication makes our scheme more powerful in the security aspects. The proposed scheme uses the user's fingerprint to provide much more protection to digital images which are stored in a cloud network in encrypted form by using a 6D hyperchaotic map. To access the images, first user has to verify himself by using his fingerprint then a reverse encryption process is performed to get the decrypted images. Different types of security analysis tests are performed to check the robustness of the proposed encryption scheme. Experimental results show the robustness and efficiency of the technique.
Septic arthritis in a tertiary care NICU in eastern India- A case series
Authors: Ghosh Saugat , Uttam Kheya Ghosh , Khemka Priti , Kumari Priyanka 
Published: December 2024

Abstract

Purpose -This is a retrospective descriptive study of septic arthritis in a neonatal intensive care unit.There is no guided protocol of neonatal septic arthritis.The aim of this study is to know the clinicoetiological spectrum of septic arthritis in newborn, its complications and the treatment outcome with the currently practiced management techniques.
Methods -20 newborns were recruited in the study over a three-year period. The risk factors were analysed and joint predilection,its complications were noted. The causative organisms were analysed and treated with appropriate antibiotics.The outcomes after arthrotomy and antibiotic therapy were studied in terms of clinical and laboratory parameters at discharge and after 3 months.
Results -Staphylococcus aureus was found to be the predominant organism in this series. Term babies are more commonly affected and they present with restricted mobility,tenderness,swelling with or without fever.The hip joint was predominantly involved . Ultrasound is an effective tool for diagnosing joint effusion but MRI is required in detecting early osteomyelitis. CRP is an effective marker to guide the duration of therapy. Those with mild joint effusion and difficult to access joints,prolonged antibiotic therapy is the only option. In babies with significant joint effusion both open arthrotomy and prolonged antibiotic therapy was given.Even with open arthrotomy and adequate antibiotic therapy,restricted mobility and limb shortening are noted in some of them.
Conclusion - Septic arthritis is a deep-seated infection in neonates. Being immunocompromised the newborns are more susceptible to aggressive joint damage and bony deformity, so they need early targeted therapy to prevent future complications. Even with open arthrotomy and prolonged antibiotic therapy,still there are chances of bone and joint deformity.
Dynamic Multiday Seizure Cycles in a Tetanus Toxin Rat Model of Epilepsy:Evolving Rhythms and Implications for Prediction
Authors: Eskikand Parvin Zarei , Cook Mark , Burkitt Anthony , Grayden David 
Published: December 2024

Abstract

Epilepsy is characterized by recurrent, unpredictable seizures that impose significant challenges in dailymanagement and treatment. One emerging area of interest is the identification of seizure cycles, includingmultiday patterns, which may offer insights into seizure prediction and treatment optimization. This studyinvestigated multiday seizure cycles in a Tetanus Toxin (TT) rat model of epilepsy. Six TT-injected rats wereobserved over a 40-day period, with continuous EEG monitoring to record seizure events. Wavelet transformanalysis revealed significant multiday cycles in seizure occurrences, with periods ranging from 4 to 7 daysacross different rats. Synchronization Index (SI) analysis demonstrated variable phase locking, with somerats showing strong synchronization of seizures with specific phases of the cycle. Importantly, the studyrevealed that these seizure cycles are dynamic and evolve over time, with some rats exhibiting shifts in cycleperiods during the recording period. This suggests that the underlying neural mechanisms driving these cyclesmay change as the epileptic state progresses. The identification of stable and evolving multiday rhythms inseizure activity, independent of external factors, highlights a potential intrinsic biological basis for seizuretiming. These findings offer promising avenues for improving seizure forecasting and designing personalized,timing-based therapeutic interventions in epilepsy. Future research should explore the underlying neuralmechanisms and clinical applications of multiday seizure cycles.