bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Impact of Post-traumatic Stress on Sexual Function of Survivors of
Hematological Malignancies and Autologous Hematopoietic Stem Cell
Transplantation
Authors: Tsatsou Ioanna , Mystakidou Kyriaki , Parpa Efi , Konstantinidis Theocharis , Kalemikerakis Ioannis , Adamakidou Theodoula , Panagou Eleni , Galanos Antonis , Govina Ourania 
Published: August 2024

Background:
Autolοgous Hematopoietic Stem Cell Transplantation (AHSCT) is a
treatment οption fοr patients with hematological malignancies that improves prοgnοsis and survival.
Thus, it is necessary tο deal with its long-term cοmplications, such as sexual dysfunction
and trauma that significantly affect survivors’ quality οf life.

Objective:
The aim οf this study was to evaluate the Sexual Function (SF) and
the Pοst-traumatic Stress Disorder (PTSD) οf survivοrs οf hematolοgical malignancy
and AHSCT.

Methods:
A multicenter, quantitative, crοss-sectional, descriptive, and cοrrelational study was
cοnducted from December 2019 to March 2022. Thrοugh cοnvenience sampling, 127 adults and
sexually active survivors οf hematolοgic malignancy whο underwent AHSCT frοm 6 mοnths tο
5 years were recruited frοm 5 hοspitals in Athens. The survivοrs cοmpleted questionnaires on
demοgraphic and clinical data, a male or female SF assessment tοοl [Internatiοnal Index Erectile
Functiοn (IIEF) and Female Sexual Functiοn Index (FSFI), respectively], and the Impact of
Event Scale-Revised (IES-R).

Results:
Patients’ mean age was 45.6 (±12.8) years. The median time frοm transplant was 3
years and the majοrity οf the survivοrs had Hodgkin's lymphοma. Accοrding tο the FSFI,
wοmen had a mοderate level of SF, with a better functional area the “pain” and wοrse the “οrgasm”.
Accοrding tο the IIEF, men had a high level of SF, with a better functional area the
“erection” and wοrse the “οverall satisfaction”. Survivοrs had lοw levels οf PTSD based οn the
IES-R, with nο differences between men and women. The subscale οf “hyperarοusal” had the
lοwest values and the subscale οf “avοidance” had the highest values fοr bοth men and wοmen
survivοrs. There was a lοw tο mοderate negative statistically significant cοrrelation between the
IES-R and bοth FSFI and IIEF, suggesting a high level οf PTSD to be correlated with wοrse
sexual function.

Conclusion:
Survivοrs οf AHSCT had impaired SF tο varying degrees and areas of functionality
depending οn their gender, but lοw levels of PTSD and lοw correlations between
these twο variables. This matter is impοrtant in survivοrship care and needs further
investigatiοn.
Severe Hypocalcemia Occurring During the Hospitalization of a Patient Affected by Permanent Post-Surgical Hypoparathyroidism with Multimorbidity: A Case Report
Authors: Nardone Isabella , Wolde Sellasie Sium , Cinque Alessandra , Tacchi Giovanni , Zaccaria Simona , Giusto Cristina , Palumbo Roberto , Gaspardone Achille , Uccioli Luigi , Amendola Stefano 
Published: August 2024

Background:
Patients with permanent hypoparathyroidism experience an impaired
quality of life, due to acute and chronic complications that may affect several organs, with an increased
risk of hospitalisation and death. Adequate and continuous replacement therapy with calcium
and calcitriol is necessary to avoid symptoms and long-term complications related to hypocalcemia.

Case Presentation:
A 63 years old male, affected by permanent post-surgical hypoparathyroidism,
was hospitalized in the cardiology department because of a dehiscence of the subcutaneous
housing of the double-chambered implantable cardioverter-defibrillator. Chronic replacement
therapy for hypoparathyroidism was poorly controlled and, during hospitalization, severe
hypocalcemia occurred together with electrocardiographic and echocardiogram life-threatening alterations.

Conclusion:
Constant and targeted long-term replacement therapy with calcium and particularly
calcitriol is necessary to avoid major consequences on patients’ health, especially during acute
events and in the presence of other comorbidities.
A Systematic Review on Machine Learning / Deep Learning Model-based Detection of Sleep Apnea Using Bio-Signals
Authors: Sabeenian R. S. , Vinodhini C. M. 
Published: August 2024

Backgrounds:
Sleep Apnea (SA) is a sleep-related breathing disorder diagnosed in clinical
laboratories. The gold standard is Polysomnography (PSG), a multi-parameter evaluation of a
sleep monitoring system that records the biological signals during overnight sleep. Apart from PSG
recording, apnea events are recorded by various other bio-signals called Electrocardiogram (ECG),
Electroencephalogram (EEG), Oxygen Saturation level (SpO2), etc. Further evaluation of the recorded
bio-signals is tedious and time-consuming as experts perform it manually. Aiming to overcome
the disadvantage without compromising accuracy, scientists focus on developing robust measurements
of SA by using Machine Learning (ML) and Deep Learning (DL) models.

Method:
This study aimed to analyze the recent research findings in the field of sleep apnea classification
and various machine learning and deep learning methods implemented in detecting SA. This
study revealed the best-performing technique considering different types of bio-signals used for
analysis and the respective ML or DL models used for automatic detection

Result:
The studies and patents included in this review underwent a precise screening process using
PRISMA guidelines. The literature study is comprised of three different analysis tools to showcase
the review process and provide evidence for the research findings obtained in the respective publications.
The publications considered were limited to the last decade.

Conclusion:
This review delivers the key finding that ECG signals-based detection of sleep apnea
using deep learning model-based deep neural network classifiers will provide more accurate and
robust classification, which will pave the way for possible future research directions.
Nanocomposites of Glass/Sisal Fibre Strengthened Hybrid Polymer Matrix and the Effect of SiC Nanofillers on its Mechanical Features
Authors: Senthilkumar N. , Perumal G. , Satheshkumar D. , Anandhakumar S. 
Published: August 2024

Introduction:
This study investigates the mechanical characteristics of hybrid sisal fibre
(SF)/glass fibre (GF) reinforced composites with various weight % of nSiC fillers (nano silicon carbide).
SF/GF/nSiC reinforced hybrid composite materials were developed following ASTM specifications
using the vacuum infusion technique.

Method:
The resulting composites were then evaluated for their tensile, impact, hardness, and flexural
characteristics. The findings reveal that none of the composites can imitate the GF composite's
mechanical advantages despite hybridization and the nanofiller addition. The hybrid composite laminates
with 2 wt.% nSiC show better mechanical response than competing hybrid composites.

Results:
The GF/SF/2%nSiC composite's impact strength and shore D hardness of the
GF/SF/2%nSiC composite are 1.25 and 1.2 times greater than those of the GF/SF/3%nSiC composites.
The GF/SF/2%nSiC composites exhibit 1.64, 1.5, and 1.8 times higher tensile strength, tensile
modulus, and toughness modulus than the GF/SF/3%nSiC composites. The GF/SF/2%nSiC composite
has a flexural modulus and strength of 1.22 and 1.41 times higher than the GF/SF/3%nSiC composites.

Conclusion:
The improved mechanical properties of the GF/SF/2%nSiC composite can be attributed
to the firm bond between the fibre and matrix, the uniform dispersion of nanofillers, and reduced
porosity.

result:
The tensile, impact, hardness, and flexural properties of the developed composites were assessed. SEM of the fractured surface was also performed to corroborate the results and determine the fracture mode.
Integrating elements of innovative development of the region’s industrial complex into the overall management concept
Authors: Kurasov M. V. , Zhakhov N. V. 
Published: August 2024

Relevance. The modern development of science, technology, technology, digitalization of the economic space and the widespread introduction of IT solutions into business practice actualizes the topic of managing innovative development. At the same time, a priority in the strategic perspective and important in the tactical period is the innovative development of the industrial complex of regions that contribute to the development of Russian society and the state as a whole. This circumstance predetermined the choice of the topic of scientific research. At the same time, the issue of identifying elements of innovative development of the industrial complex of the region, as well as their integration into the overall management concept, remains important and insufficiently studied.Purpose. The main purpose of the study is to highlight the elements of innovative development of the regional industrial complex and their integration into the overall management concept.The objectives of the study are to substantiate the relevance of the problem being solved; studying the views of different scientists on the issues of identifying the main elements of innovative development of the industrial complex of the region; substantiation of the author's position regarding the key elements of innovative development of the industrial complex of the region; visualization of the author's idea of integrating key elements of innovative development of the region's industrial complex into one's own vision of the concept of managing the innovative development of the region's industrial complex.Methodology. The research methods were analysis and synthesis, induction and deduction, comparison, juxtaposition and generalization of scientific approaches, methods of visualization and presentation of the results of the author's research.The results of the study are presented by visualization of the author's justification for integrating key elements of the innovative development of the regional industrial complex into his own vision of the concept of managing the innovative development of the regional industrial complex.Conclusions. The findings contain a conclusion about the author's vision of integrating elements of innovative development of the region's industrial complex into the overall management concept.
Ethnic culture in urban space: a theoretical review
Authors: Vetrova O. A. , Afanas’eva V. A. 
Published: August 2024

Relevance. Cities are centers of attraction for people of different nationalities and cultures. In the context of urbanization and globalization, various ethnic cultures interact, which leads to their transformation. The study of ethnic culture in urban space makes it possible to understand how culture changes under the influence of new living conditions, which is especially important for the formation of intercultural relations and tolerant attitude towards representatives of other cultures and nationalities.The purpose is to analyze theoretical studies of ethnic culture in urban space, including issues of tolerance, identity, and urban mentality.Objectives: to consider the elements of ethnic culture; to analyze the connection between ethnic culture and urban space; to determine how identity manifests itself in urban space; to characterize cultural ethnic practices in urban space; to characterize the visual artifacts of ethnicity in urban space.Methodology. The socio-cultural paradigm of studying urban space was used as the methodological basis of the study. The authors also applied general scientific methods: analysis, comparison, generalization.Results. A theoretical analysis of the developments of domestic authors on the topic of manifestations of ethnic culture in urban space, including aspects of national symbols, architecture, mentality, identity, tolerance, is carried out.Conclusions. Ethnic culture in urban space is a complex phenomenon encompassing socio-cultural and ethnodemographic aspects of urban community life. It finds expression in architecture, cultural practices of events, ornaments, everyday life, and the media. Today, despite the unification of everyday life and lifestyle, there are trends towards strengthening national identity, preserving national identity and cultural traditions, in particular through elements of urban public spaces.
The antinomic nature of socialization in the space of digital culture
Authors: Kilimova L. V. , Cherkashin M. D. 
Published: August 2024

The relevance of the study is due to the intensive development of digital technologies, which is generated by a specific element of social space virtual space. The dynamic development of digital culture has led to the formation of processes and phenomena that significantly affect both the functioning of the social system and the socialization of an individual.The purpose of the work is to reveal the features of the influence of digital culture on the socialization of a modern person.Objectives: to characterize the phenomenon of digital culture; outline the features of socialization of a person in the conditions of digital culture.Methodology. The methodological basis of the article includes: a systematic method that allows identifying the main elements of the space of digital culture, which determine the specifics of the socialization of a person; analysis and synthesis to reveal the essence and specifics of socialization in the space of digital culture.Results. In modern socio-cultural conditions, the space of digital culture is defined as a specific factor of socialization, which led to the selection and establishment of a new concept of "digital socialization", which is considered to be a defining component of the socialization process of a person.Conclusions. The space of digital culture creates more favorable conditions for the self-realization of the individual, since in it the results of the subject's creative activity are accepted by others as an acceptance of his individuality and the maximum activity of the individual is ensured when determining the trajectory of his development.At the same time, actual or potentially negative results of transferring the process of socialization to the Internet space are highlighted. This, first of all, is far from being an equivalent replacement for real virtual-simulation communication; strengthening of social anomie; the dominance of fragmented and intuitive knowledge, as well as extreme value relativism in the process of innovative transformations in the sphere of socialization, etc.
Global trends in the investment policy of countries in agriculture in the context of transition towards renewable energy sources
Authors: Kuzmina V. M. , Parkhomchuk M. A. 
Published: August 2024

Relevance. The renewable energy sector is attractive for foreign direct investment, among which projects related to the introduction of wind energy, as well as the reproduction of energy from biomass and biofuels are popular with investors. The proof of the popularity of such projects is the investment of 70% of all investments in renewable energy sources.The purpose The aim is to consider the trends of global investments in agriculture in the context of the transition to renewable energy sources.Objectives: to analyze the inflow of FDI to various regions of the world for the implementation of renewable energy transition projects; to show the reasons for the uneven investment of countries in different regions in modern conditions.Methodology. The structural theory is used to study investment flows, and the method of studying statistical reporting according to UNCTAD and CEPAL data is used for quantitative and qualitative analysis of attracted investments.Results. The statistical data used formed the basis for a quantitative and qualitative analysis of the directions of attracting FDI to various countries, showing the heterogeneity of this process by region. The global climate situation requires accelerating low-carbon innovation by all possible means. Developed countries have the same problems of transition to renewable energy as developing countries, so investment investments are relevant for agriculture in all regions of the world.Conclusions. Western countries prefer to be in the trend of the modern economy and invest in green sectors of the economy and those industries that use carbon-neutral technologies. Global changes in green energy financing related to the transfer of funds to the "hotbeds of conflict" in Ukraine and the Middle East have put some countries (LACs) in need of finding their own resources to continue energy transition projects.
Selecting a priority criterion when forming optimal management of a production enterprise using digitalization tools
Authors: Lapshina M. L. , Serebryakova N. A. , Lukina O. O. , Lapshin D. D. 
Published: August 2024

Relevance. At the present stage, economic and mathematical methods cannot be fully implemented without the use of digitalization tools. The center of many modern theoretical studies, both by foreign and Russian authors, is a simulation model that allows the most complete reflection of both the theoretical message under consideration and its nuances, to which a software package or modeling tools can be fully adapted. The activities of various production and technology companies may be influenced by external factors, which must be resolved not only strategically, but also operationally. Methodological problems lie in the choice of a priority criterion for the formation of optimal management of a manufacturing enterprise using digitalization tools.The purpose is to select a priority criterion for the formation of optimal management of a manufacturing enterprise using digitalization tools.Objectives. objective prerequisites for the construction of simulation models based on an optimization approach are given; the initial formulation of the convex programming problem is justified, an analysis of the priority of weight coefficients is given; the accuracy of calculation and the type of utility function is justified when the analysis of the prevailing normalized prices is assumed. In such initial conditions, the solution of the convex programming problem can be reduced to finding the optimum in the production planning problem.Methodology. The study was carried out using methods of logical and comparative analysis of existing simulation models of operational management of the company, as well as methods of mathematical modeling.Results. The paper proposes an algorithm for the phased implementation of the optimization task, taking into account three relevant responses of the system to the use of resource-saving technologies, determined by the use of a specific type of technological production.Conclusions. The priority of choosing a criterion in the formation of optimal management of a manufacturing enterprise using digitalization tools creates favorable conditions for the system's response to technology changes, depending on three possible states of production technology: ultra-efficient technology, extremely backward technology, medium or normal technology.
Enhancement of Immersive Technology Use in Pediatric Health Care With Accessible, Context-Specific Training: Descriptive Feasibility Study
Authors: Li Brian S K , Fereday Brendan , Wang Ellen , Rodriguez Samuel , Forssell Karin , Bollaert André N , Menendez Maria , Caruso Thomas J 
Published: August 2024

Background
Immersive technology provides adjuncts for pediatric care. However, accessibility and inadequate training limit implementation of this technology. Standardized instruction with no-cost software licensing may improve health care professionals’ facility with immersive technologies.

Objective
This descriptive feasibility study aimed to examine the applications of immersive technologies in pediatric health care, including virtual reality (VR) and projectors.

Methods
We developed immersive technology instructional guides for pediatric health care. The training guides were created for multiple software content and hardware types across several clinical scenarios. Content was available in print and digital versions. The primary outcome was technology use across sites with no-cost software agreements. The secondary outcome was the specific application types used at a single site, stratified by sessions and minutes. Data were analyzed using descriptive statistics.

Results
Data were collected from 19 licensed sites from January through June 2022. Among the 19 sites, 32% (n=6) used 10 or more VR units. Among the 6 sites that had projectors, half used 5 or more units. The mean minutes of use per month of all sites combined was 2199 (IQR 51-1058). Three sites had more than 10,000 minutes of total use during the 6-month review period. Secondary results indicated that active VR (977 total sessions) and passive projector streaming (1261 total sessions) were the most popular application types by session, while active projector (66,849 total minutes) and passive projector streaming (32,711 total minutes) were the most popular types when stratified by minutes of use. The active VR application with the most minutes of use was an application often used in physical therapy.

Conclusions
Context-specific technological instruction coupled to no-cost licenses may increase access to immersive technology in pediatric health care settings.
Enhancing Performance of the National Field Triage Guidelines Using Machine Learning: Development of a Prehospital Triage Model to Predict Severe Trauma
Authors: Chen Qi , Qin Yuchen , Jin Zhichao , Zhao Xinxin , He Jia , Wu Cheng , Tang Bihan 
Published: August 2024

Background
Prehospital trauma triage is essential to get the right patient to the right hospital. However, the national field triage guidelines proposed by the American College of Surgeons have proven to be relatively insensitive when identifying severe traumas.

Objective
This study aimed to build a prehospital triage model to predict severe trauma and enhance the performance of the national field triage guidelines.

Methods
This was a multisite prediction study, and the data were extracted from the National Trauma Data Bank between 2017 and 2019. All patients with injury, aged 16 years of age or older, and transported by ambulance from the injury scene to any trauma center were potentially eligible. The data were divided into training, internal, and external validation sets of 672,309; 288,134; and 508,703 patients, respectively. As the national field triage guidelines recommended, age, 7 vital signs, and 8 injury patterns at the prehospital stage were included as candidate variables for model development. Outcomes were severe trauma with an Injured Severity Score ≥16 (primary) and critical resource use within 24 hours of emergency department arrival (secondary). The triage model was developed using an extreme gradient boosting model and Shapley additive explanation analysis. The model’s accuracy regarding discrimination, calibration, and clinical benefit was assessed.

Results
At a fixed specificity of 0.5, the model showed a sensitivity of 0.799 (95% CI 0.797-0.801), an undertriage rate of 0.080 (95% CI 0.079-0.081), and an overtriage rate of 0.743 (95% CI 0.742-0.743) for predicting severe trauma. The model showed a sensitivity of 0.774 (95% CI 0.772-0.776), an undertriage rate of 0.158 (95% CI 0.157-0.159), and an overtriage rate of 0.609 (95% CI 0.608-0.609) when predicting critical resource use, fixed at 0.5 specificity. The triage model’s areas under the curve were 0.755 (95% CI 0.753-0.757) for severe trauma prediction and 0.736 (95% CI 0.734-0.737) for critical resource use prediction. The triage model’s performance was better than those of the Glasgow Coma Score, Prehospital Index, revised trauma score, and the 2011 national field triage guidelines RED criteria. The model’s performance was consistent in the 2 validation sets.

Conclusions
The prehospital triage model is promising for predicting severe trauma and achieving an undertriage rate of <10%. Moreover, machine learning enhances the performance of field triage guidelines.