bluuebunny/crossref_metadata_2025 huggingface dataset:
Remote Disease Diagnosis through IoMT-Enhanced Blood Cell Classification with Deep Learning
Authors: Kadhiravan D. , Pradeepa J. , Ragavan K.
Published: April 2024

Background

For the purpose of diagnosing diseases and developing treatment plans, blood cell pictures must be accurately classified. This procedure can be greatly enhanced by automated systems that make use of deep learning and the Internet of Medical Things (IoMT).

Objective

In order to improve illness detection and increase healthcare accessibility, this work suggests an IoMT-based system for remote blood cell picture transmission and classification utilizing deep learning algorithms.

Methods

High-resolution pictures of blood cells are captured by an IoMT tiny camera and wirelessly sent to a cloud-based infrastructure. The blood cells are divided into groups according to a, deeplearning classification algorithm, including neutrophils, lymphocytes, monocytes, and eosinophils.

Results

The IoMT-enabled system excels in transmitting and analyzing blood cell images, achieving precise classification. Utilizing deep learning models with multi-scale feature extraction and attention mechanisms, the system demonstrates robust performance. Numerical results showcase a high accuracy of approximately 97.21%, along with noteworthy precision, recall, and F1 scores for individual blood cell classes. Eosinophil, Lymphocyte, Monocyte, and Neutrophil classes exhibit strong performance metrics, emphasizing the system's effectiveness in accurate blood cell classification.

Conclusion

By combining IoMT and deep learning with blood cell image analysis, diagnostic accessibility and efficiency are improved. The suggested approach has the potential to completely transform healthcare by facilitating prompt interventions, individualized treatment regimens, and better patient outcomes. It is essential to continuously enhance and validate the system in order to maximize its efficacy and dependability in a variety of healthcare settings.
Effects of Single and Co-infections of Proteus Mirabilis and Aeromonas Hydrophila on Baseline Hematological, Serological, and Histological Data in Cultured Clarias Gariepinus
Authors: Oghenochuko M. Oghenebrorhie , Ola E. Iyesioluwa , Thomas M. Remilekun , Daodu O. Gladys , Oguntuase G. Ademola , Aluko O. Itunu , Irokanulo Emenike , Akpor B. Oghenerobor
Published: April 2024

Background and Aim

Significant mortality and production disruptions in fish culture are brought on by diseases and parasites. The purpose of the current study was to collect baseline data on the effects of single and co-infections of Proteus mirabilis, and Aeromonas hydrophila in Clarias gariepinus.

Materials and Methods

One hundred and twenty sub-adults of C. gariepinus were divided into control, P. mirabilis, A. hydrophila, and co-infection groups (P. mirabilis X A. hydrophila). Standard methods were used to determine hematology, serology, and histology. Standard microbiology methods were used for microbial analysis.

Results

The single A. hydrophila-infected group had the highest mortality (60% versus 37%) in the co-infected and P. mirabilis groups. A marked decrease was observed in the RBC, hemoglobin, and Packed Cell Volume (PCV) of 2.9×1012/L, 32.8 g/L, and 33.5% in the co-infected fish, compared to the control with 3.6×1012/L, 35.8 g/L, and 41.0%, respectively. Alanine transaminase, alkaline phosphatase, and aspartate transaminase levels were significantly lower in the co-infected fish (13.8, 236.0, and 66.3, respectively) compared to the A. hydrophila-infected group. Creatinine and urea levels were, however, higher in the co-infected treatment. The kidneys and livers of the A. hydrophila and co-infected groups were more severely damaged than those of the P. mirabilis and control groups. Vacuolation and necrosis of hepatocytes led to the desquamation of tubular and glomerular epithelial cells in the livers and kidneys of infected fish. Fish infected with A. hydrophila had the highest bacterial load count.

Conclusion

It was concluded that an antagonistic association exists between A. hydrophila and P. mirabilis when they are co-infected.
Hypofractionated Radiation Therapy Suppresses Radioresistance in U87 Human Glioma Cells by Inhibiting Yap1 and Hsp90 Proteins
Authors: Khan Imran , Mahfooz Sadaf , Karacam Busra , Elbasan Elif Burce , Akdur Kerime , Coban Ganime , Hatiboglu Mustafa Aziz
Published: April 2024

Background:

Radiotherapy plays a vital role in the management of high-grade gliomas.
However, the radio resistance of glioma cells limits the effect of radiation and drives recurrence
inside the irradiated tumor volume leading to poor outcomes for patients.

Methods:

High-grade glioma cell radioresistance significantly contributes to radiotherapy failure,
highlighting the importance of identifying predictive biomarkers for radioresistance. An
increasing body of evidence complies with the Yes Associated Protein 1 (Yap-1) and heat shock
protein 90 (Hsp90) as biomarkers for radioresistance in glioma cells. A number of studies suggest
the potential of radioresistance-associated factors as biomarkers and/ or novel therapeutic
targets in glioma cells. Thus, it is essential for glioblastoma patients to identify robust druggable
targets involved in radioresistance, optimizing irradiation protocol, and understanding their underlying
molecular mechanisms.

Results:

Therefore, in the present study, we hypothesized that hypofractionated Gamma Knife
radiation therapy (HF-GKRT) could target Yap-1 and Hsp90 and downregulate the mechanism
of radioresistance in high-grade glioma cells.

Conclusion:

For this purpose, expression levels of radioresistance markers Yap-1 and Hsp90
were evaluated after treatment with HF-GKRT, and this was compared with single fraction
Gamma Knife radiation therapy (SF-GKRT) in U87MG primary human glioblastoma cell line
model. This would help design a novel radiation therapy regimen for glioblastoma patients by
reducing the risk of radioresistance.
An Intelligent Cryptographic Approach for Preserving the Privacy and
Security of Smart Home IoT Applications
Authors: Chitti TN , Kalianandi Maharajan
Published: April 2024

Background:

Today, computer networks are everywhere, and we utilize the Internet to
access our home network. IoT networks connect home appliances and provide remote instructions.
Access to any tool over an uncertain network attracts assaults. User authentication might be password-
or biometric-based. Data security across a secure network like the Internet is difficult when
authenticating a device. Hashing is used for validation and confidentiality in several encryption and
decryption schemes. Classic cryptographic security methods require a lot of memory, processing
power, and power. They cannot work with low-resource IoT devices.

Methods:

Automatic Device-to-Device communiqué opens up new applications, yet network machines
and devices have limited resources. A remote-access home device authentication mechanism
is proposed in this research. A new, lightweight encryption approach based on Deoxyribonucleic-
Acid (DNA) sequences is developed to make IoT device connections easy and secure. Home
network and appliance controller devices use authentication tools. DNA sequences are random
therefore we utilized them to create a secure secret key.

Results:

Efficiency and strength are advantages of the proposed method. Our method prevents replay,
server spoofing, and man-in-the-middle attacks. The suggested method protects network users
and devices.

Conclusion:

Meanwhile, we model the system and find that the network's delay, throughput, and
energy consumption don't degrade considerably.
Crafting a Sustainable Future: Exploring Research, Overcoming Challenges, and Anticipating Trends in Manufacturing and Design Engineering
Authors: AlZohbi Gaydaa , Kumar Ashwini , Kumar Ajay , Kumar Parveen , Phanden Rakesh Kumar
Published: April 2024

Sustainable manufacturing is intricately characterized as the conscientious creation of
goods and services employing environmentally harmonious techniques and methodologies. These
approaches are specifically devised to curtail ecological harm by conserving energy, preserving
natural resources, and fortifying the well-being of communities and materials alike. Its paramount
significance lies in its capacity to discern issues inherent in the stages of planning, designing, scrutinizing,
and augmenting manufacturing processes, with potential innovations protected by patents.
This current discourse aspires to expound upon the multifaceted dimensions of sustainable manufacturing,
encompassing the delineation of pertinent metrics, a comprehensive examination of the
diverse environmental ramifications intrinsic to sustainable manufacturing, and an exploration of
the very essence of sustainability within the manufacturing paradigm, including consideration of
technologies that contribute to eco-conscious practices. Moreover, this paper delves into the myriad
challenges that confront sustainable manufacturing, offering a nuanced analysis, while simultaneously
shedding light on the latent opportunities that reside within this realm, potentially protected
by patents. In essence, the narrative woven herein endeavors to provide an extensive panorama of
the intricate tapestry that is sustainable manufacturing, featuring innovative solutions that will be
secured through patent protection. By dissecting its constituent elements and navigating through the
challenges and prospects, we aim to foster a profound understanding of the holistic implications and
potential transformative pathways within the realm of eco-conscious production methodologies, incorporating
the advancements that contribute to sustainable manufacturing practices. In conclusion,
the exploration of sustainable manufacturing's various dimensions, challenges, and opportunities
not only contributes to a comprehensive understanding of its intricacies but also serves as a foundation
for fostering eco-conscious production methods and transformative pathways in manufacturing
practices, with the protection and dissemination of patented technologies playing a pivotal role in
driving sustainable innovations.
Design and Assessment of Integrated Wind-Biomass Hybrid Renewable
Energy System and Blackout Hazards in the Power System Using
Arelu-Ann
Authors: Goswami Subhadip , Benia TapasKumar , Banerjee Abhik
Published: April 2024

Introduction::

A hybrid power generating system, which is mostly meant for its reliable
performance to meet the current energy demand, is a renowned renewable energy. To overcome issues
like the inability to handle the blackout problem, avoidance of renewable factors, and frequency
instability of the power grid, a Hybrid Power Generation System (HPGS) utilizing biomass and
wind is proposed in this paper.

Method::

With the combination of controllers as well as inverters and blackout controllers, this
work aims to maximize power with minimum cost. The DC-DC converter controlled by Renyi’s
Quadratic Entropy-Based Neuro Proportional-Integral-Derivative (RQEB-NPID) and the inverter
under the control of the Volt/VAR controller are utilized as a major contribution.

Result::

This, in turn reduces the frequency instability problem. Moreover, the renewable factor is
considered for reducing the cost of energy using the Pythagorean Fuzzy-based Equilibrium Optimizer
(PF-EO)-based inverter. Next, by utilizing the Attention-based Rectified Linear Unitactivated
Artificial Neural Network (ARELU-ANN) controller, the blackout problem that interrupts
the power supply to the load is eliminated with the highest accuracy of 7.69%.

Conclusion::

Also, the proposed ARELU-ANN attained the highest specificity and precision of
9.80% and 6.17 %, respectively. Lastly, a comparative analysis is performed, which demonstrates
that the proposed solution is optimum for supplying maximum energy at the least cost.
Haití: la gestión de su crisis bajo el mandato de la ONU
Authors: Ortega-García Diana , Yepes-Hernández Carolina , Mesa-Bedoya Juan Camilo
Published: April 2024

Este artículo examina las operaciones para el mantenimiento de la paz que la Organización de las Naciones Unidas ha desplegado en Haití entre 1993 y 2019 para identificar y evaluar sus consecuencias e impactos en términos de gestión de la crisis del país caribeño. Tras una revisión documental de fuentes primarias (resoluciones e informes de la ONU) y secundarias (artículos de prensa), se concluye que la asistencia internacional que ha recibido Haití de la ONU ha sido indispensable para la gestión de sus recurrentes crisis, pero no ha sido suficiente para su completa superación ni para garantizar una solución estable y duradera para el país.
Changes in the Cesarean Section Rate Following the Implementation of Guidelines Concerning Cesarean Section on Maternal Request
Authors: Kim Hyun Mi , Seong Won Joon
Published: April 2024

Traditionally, cesarean delivery on maternal request (CDMR) has been defined as a cesarean section performed at the request of the pregnant woman rather than for medical necessity. It was thought to provide minimal benefits to both the pregnant woman and the fetus and was seen as an inefficient use of healthcare resources. However, the recent rise in the choice and use of cesarean sections is influenced not only by obstetrical factors but also by psychological and socio-cultural factors of the mother, the desire among medical providers to avoid uncertainty, and the pursuit of time and economic convenience, among other complex factors. In particular, there is a growing trend among medical professionals who prefer cesarean sections to avoid costly medical lawsuits. However, if a pregnant woman opts for an elective cesarean section due to the convenience of medical professionals or fear of litigation, even if she prefers a vaginal delivery, it would be considered an unnecessary cesarean section. When a pregnant woman desires CDMR, medical professionals should thoroughly explain the advantages and disadvantages of both attempting vaginal delivery and CDMR so that she can make an informed decision. Nevertheless, if a pregnant woman still chooses a cesarean section after being fully informed, her autonomy should be respected. In such cases, it is recommended that medical practitioners use a minimally invasive surgical method, along with appropriate preoperative and postoperative care, to reduce the morbidity of both the mother and infant and to support a rapid recovery.
COVID-19 Vaccine Hesitancy: Umbrella Review of Systematic Reviews and Meta-Analysis
Authors: Rahbeni Tahani Al , Satapathy Prakasini , Itumalla Ramaiah , Marzo Roy Rillera , Mugheed Khalid A L , Khatib Mahalaqua Nazli , Gaidhane Shilpa , Zahiruddin Quazi Syed , Rabaan Ali A , Alrasheed Hayam A , Al-Subaie Maha F , Al Kaabil Nawal A , Alissa Mohammed , Ibrahim Amani Ahmed A L , Alsaif Hussain Abdulkhaliq , Naser Israa Habeeb , Rustagi Sarvesh , Kukreti Neelima , Dziedzic Arkadiusz
Published: April 2024

Background

The unprecedented emergence of the COVID-19 pandemic necessitated the development and global distribution of vaccines, making the understanding of global vaccine acceptance and hesitancy crucial to overcoming barriers to vaccination and achieving widespread immunization.

Objective

This umbrella review synthesizes findings from systematic reviews and meta-analyses to provide insights into global perceptions on COVID-19 vaccine acceptance and hesitancy across diverse populations and regions.

Methods

We conducted a literature search across major databases to identify systematic reviews and meta-analysis that reported COVID-19 vaccine acceptance and hesitancy. The AMSTAR-2 (A Measurement Tool to Assess Systematic Reviews) criteria were used to assess the methodological quality of included systematic reviews. Meta-analysis was performed using STATA 17 with a random effect model. The data synthesis is presented in a table format and via a narrative.

Results

Our inclusion criteria were met by 78 meta-analyses published between 2021 and 2023. Our analysis revealed a moderate vaccine acceptance rate of 63% (95% CI 0.60%-0.67%) in the general population, with significant heterogeneity (I2 = 97.59%). Higher acceptance rates were observed among health care workers and individuals with chronic diseases, at 64% (95% CI 0.57%-0.71%) and 69% (95% CI 0.61%-0.76%), respectively. However, lower acceptance was noted among pregnant women, at 48% (95% CI 0.42%-0.53%), and parents consenting for their children, at 61.29% (95% CI 0.56%-0.67%). The pooled vaccine hesitancy rate was 32% (95% CI 0.25%-0.39%) in the general population. The quality assessment revealed 19 high-quality, 38 moderate-quality, 15 low-quality, and 6 critically low-quality meta-analyses.

Conclusions

This review revealed the presence of vaccine hesitancy globally, emphasizing the necessity for population-specific, culturally sensitive interventions and clear, credible information dissemination to foster vaccine acceptance. The observed disparities accentuate the need for continuous research to understand evolving vaccine perceptions and to address the unique concerns and needs of diverse populations, thereby aiding in the formulation of effective and inclusive vaccination strategies.

Trial Registration

PROSPERO CRD42023468363; https://tinyurl.com/2p9kv9cr
Designing Child Nutrition Interventions to Engage Fathers: Qualitative Analysis of Interviews and Co-Design Workshops
Authors: So Jeffrey Tsz Hei , Nambiar Smita , Byrne Rebecca , Gallegos Danielle , Baxter Kimberley A
Published: April 2024

Background

Fathers play a pivotal role in parenting and child feeding, but they remain underrepresented in intervention studies, especially those focused on disadvantaged populations. A better understanding of fathers’ experiences and needs regarding support access and child nutrition information in the context of disadvantage can inform future interventions engaging fathers.

Objective

This study aims to explore fathers’ experiences; perceived enablers; and barriers to accessing support and information related to parenting, child feeding, and nutrition and to co-design principles for tailoring child nutrition interventions to engage fathers.

Methods

Australian fathers of children aged 6 months to 5 years with lived experience of disadvantage participated in semistructured interviews and co-design workshops, primarily conducted via videoconference. Creative analogies were used to guide the ideation process in the workshops.

Results

A total of 25 interviews and 3 workshops (n=10 participants) were conducted, with data analyzed using reflexive thematic analysis and the Capability, Opportunity, and Motivation–Behavior model. The interview data illuminated factors influencing fathers’ initiation in seeking support for parenting, child feeding, and nutrition, including their experiences. It highlighted fathers’ diverse information needs and the importance of an inclusive environment and encouragement. Enablers and barriers in accessing support related to parenting and child nutrition were identified at the individual (eg, personal goals and resource constraints), interpersonal (family support and false beliefs about men’s caregiving role), organizational (inadequate fathering support), and systemic levels (father-inclusive practice and policy). Digital data collection methods enabled Australia-wide participation, overcoming work and capacity barriers. Videoconferencing technology was effectively used to engage fathers creatively. Key principles for engaging fathers were co-designed from the workshop data. Interventions and resources need to be father specific, child centered, and culturally appropriate; promote empowerment and collaboration; and provide actionable and accessible strategies on the what and how of child feeding. Fathers preferred multiformat implementation, which harnesses technology-based design (eg, websites and mobile apps) and gamification. It should be tailored to the child’s age and targeted at fathers using comprehensive promotion strategies.

Conclusions

Fathers faced barriers to accessing support and information related to parenting and feeding that may not adequately address their needs. Future interventions could integrate the co-designed principles to engage fathers effectively. These findings have implications for health service delivery and policy development, promoting father-inclusive practice.
The Effect of Everyday-Life Social Contact on Pain (Preprint)
Authors: Weiß Martin , Gründahl Marthe , Jachnik Annalena , Lampe Emilia Caya , Malik Ishitaa , Rittner Heike Lydia , Sommer Claudia , Hein Grit
Published: April 2024

UNSTRUCTURED

Pain is a biopsychosocial phenomenon, resulting from the interplay between physiological and psychological processes and social factors. Given that humans constantly interact with others, the effect of social factors is particularly relevant. Documenting the significance of the social modulation of pain, an increasing number of studies have investigated the effect of social contact on subjective pain intensity and pain-related physiological changes. While evidence suggests that social contact can alleviate pain, contradictory findings indicate an increase in pain intensity and a deterioration of pain coping strategies. This evidence primarily stems from studies examining the effect of social contact on pain within highly controlled laboratory conditions. Moreover, pain assessments often rely on one-time subjective reports of average pain intensity across a predefined period. Ecological momentary assessments (EMAs) can circumvent these problems, as they can capture diverse aspects of behavior and experiences multiple times a day, in real time, with high resolution, and within naturalistic and ecologically valid settings. These multiple measures allow for the examination of fluctuations of pain symptoms throughout the day in relation to affective, cognitive, behavioral, and social factors. In this opinion paper, we review the current state and future relevance of EMA-based social pain research in daily life. Specifically, we examine whether everyday-life social support reduces or enhances pain. The first part of the paper provides a comprehensive overview of the use of EMA in pain research and summarizes the main findings. The review of the relatively limited number of existing EMA studies shows that the association between pain and social contact in everyday life depends on numerous factors, including pain syndromes, temporal dynamics, the nature of social interactions, and characteristics of the interaction partners. In line with laboratory research, there is evidence that everyday-life social contact can alleviate, but also intensify pain, depending on the type of social support. Everyday-life emotional support seems to reduce pain, while extensive solicitous support was found to have opposite effects. Moreover, positive short-term effects of social support can be overshadowed by other symptoms such as fatigue. Overall, gathering and integrating experiences from a patient’s social environment can offer valuable insights. These insights can help interpret dynamics in pain intensity and accompanying symptoms such as depression or fatigue. We conclude that factors determining the reducing versus enhancing effects of social contact on pain need to be investigated more thoroughly. We advocate EMA as the assessment method of the future and highlight open questions that should be addressed in future EMA studies on pain and the potential of ecological momentary interventions for pain treatment.
Tracking Pregnancy Complications and Engagement with Remote Patient Monitoring in Prenatal Care: Retrospective Review (Preprint)
Authors: Barshay Meylakh , Zang Crystal , Bolden Taylor , Rosenfeld Lauren , Marko Kathryn , Sudimack Andrew , Sebastian Anish , Loganathan Aditya , Ma Yan , Meltzer Andrew
Published: April 2024

BACKGROUND

Mobile technology has the potential to supplement traditional prenatal care and improve screening and compliance with recommended screening tests. While previous research has shown high patient satisfaction with mobile technology in prenatal care, it remains unclear how integrating the recording of remote vital signs into pre-existing clinical workflows can enable improved clinical outcomes.

OBJECTIVE

In a multicenter retrospective study, we aimed to identify predictors of engagement with remote patient monitoring (RPM) using the Babyscripts™ digital health tool and to determine if low engagement correlated with adverse events.

METHODS

In a university-based obstetrics practice, pregnant patients were provided the Babyscripts™ mobile digital health platform alongside standard care. The digital health platform allowed for tracking of gestational weight gain and blood pressure and delivered timed education on expected symptoms and recommended screening tests during pregnancy. Patients were included in the study if they began using the RPM before the end of the first trimester and excluded if pregnancy outcomes were unavailable. We conducted a chart review of each patient’s prenatal care and delivery using trained abstractors and structured data collection forms. RPM engagement was defined as the number of weeks with at least one remote vital measurement. Outcomes such as pregnancy complications were considered individually and as a composite outcome. We employed multivariate logistic regression to identify predictors of engagement and complications.

RESULTS

Our study encompassed 823 patients, including 28% who identified as Black, 32% Medicaid/Medicare recipients, 43% over age 35, and 5% with a history of hypertension. Of these, 37 developed preeclampsia or pregnancy-induced hypertension, and 288 experienced at least one maternal complication. We discovered that age was positively associated with increased engagement (1.21%, 95% CI, 0.67-1.74%, increase per one-year increment in age). Conversely, belonging to a distressed community and greater than one prior full-term pregnancy was linked to reduced engagement, with decreases of 7.9% (95% CI: 1.2%-14.6%) and 12.16% (95% CI: 5.2%-19.1%) respectively. RPM engagement did not correlate with occurrence of pregnancy-related complications (OR = 1.006, 95% CI: 1.000-1.012).

CONCLUSIONS

In summary, lower engagement with an RPM appears to be connected to residence in a distressed community but not an increase in pregnancy complications. Increased age and first-time pregnancies were associated with higher RPM engagement. Future studies should assess whether engagement with prenatal care digital health platforms can modify risk factors for pregnancy complications.

CLINICALTRIAL

NA
A trustworthy, data-driven, decision-making framework for global infectious disease mitigation (Preprint)
Authors: Keshavamurthy Ravikiran , Pazdernik Karl T , Dixon Samuel , Erwin Samantha , Charles Lauren E
Published: April 2024

UNSTRUCTURED

Infectious diseases (ID) have a significant detrimental impact on global health. Timely and accurate infectious disease forecasting can result in more informed implementation of control measures and prevention policies. However, for operational decision-making in real-world circumstances, a standardized, reliable, and trustworthy platform that can forecast multiple diseases across different geographic locations is largely lacking. To meet this need, we built an ID forecasting pipeline and visualization dashboard generalized across a wide range of modeling techniques, IDs, and global locations. We included a wide range of statistical, machine learning, and deep learning models and trained them on a multitude of features (e.g., demography, landscape, climate, and socioeconomic factors) within the One Health landscape. The dashboard was built to report crucial operational metrics - prediction accuracy, computational efficiency, spatio-temporal generalizability, uncertainty quantification, and interpretability - which are essential to strategic data-driven decisions. While no single best model was suitable for all disease, region, and country combinations, our ensemble technique selects the best model for any given scenario, achieving peak forecasting performance. For new or emerging diseases in a region, the ensemble model can predict how the disease may behave in the new region using a pre-trained model from a similar region with a history of that disease. The data visualization dashboard provides an interactive, clean interface of important analytical metrics, such as ID temporal patterns, forecasts, prediction uncertainties, and model feature importance across geographic locations and disease combinations. As the need for real-time, operational ID forecasting capabilities increases, this standardized and automated platform for overall data collection, analysis, and reporting is a major step forward in enabling evidence-based public health decisions and policies for prevention and mitigation of future ID outbreaks.
Türkiye’de İller Arası Alınan Göç: Çok Boyutlu Panel Veri Analizi
Authors: Şahin Mert , Kılıç Mustafa Ercan
Published: April 2024

İnsanlık tarihi boyunca çeşitli nedenlerden dolayı, insanlar ikamet ettikleri yerleri değiştirmek durumunda kalmışlardır. Mevcut konumundan farklı bir yere gitme durumu, göç kavramını ortaya çıkarmıştır. Bu çalışma, Türkiye’de 2008-2013 yılları arasında alınan göçü etkileyen sosyo-ekonomik değişkenlerin çok boyutlu panel veri modelleriyle analiz edilmesini amaçlamaktadır. İl, bölge ve zaman birimleri dikkate alınarak elde edilen üç boyutlu model yardımıyla tahminler gerçekleştirilmiştir. Sabit etkiler ve tesadüfi etkiler tahmincileri, gerekli dönüşümler yardımıyla elde edilmiş olup Hausman Testi ile uygun modele karar verilmiştir. Tesadüfi etkiler tahmincisinin etkin olduğu çalışmada istihdam oranı, bin kişi başına düşen hekim sayısı ve hastane sayısı değişkenleri istatistiksel olarak anlamlı ve işaretleri beklenildiği yöndedir. Bu sonuçlar bazında iller arası alınan göç üzerinde etkili olan sosyo-ekonomik değişkenler, geliştirilen göç politikaları arasında önem arz edeceği düşünülmektedir.
Prognostic properties of biomarkers in COVID-19 infection and concomitant chronic coronary syndromes
Authors: Tomyn I.V. , Fedorov S.V.
Published: April 2024

Background. The novel coronavirus disease 2019 (COVID-19), caused by a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become an unprecedented challenge for the health care system and has taken a leading position among infectious diseases due to the rapid spread and development of complications from various body systems. The problem of cardiac comorbidity in COVID-19 has several aspects: the impact of concomitant cardiovascular diseases on the incidence of a new viral infection, its severity and risk of mortality, as well as possible side effects of a number of drugs traditionally used to treat certain types of cardiovascular diseases. SARS-CoV-2 is not only a pneumonia pathogen, but also causes serious systemic consequences. Patients with cardiovascular diseases and risk factors for cardiovascular complications, such as hypertension and coronary heart disease, are more exposed to fatal consequences of COVID-19. In addition, a significant proportion of patients develop COVID-associated myocardial injury, which significantly increases the risk of in-hospital mortality. The purpose of the study was to investigate the prognostic role of individual biomarkers in patients with COVID-19-associated pneumonia on the background of chronic coronary syndromes. Materials and methods. This study was defined as an open-label, non-randomized, controlled, comparative one in parallel groups. 124 patients with COVID-19-associated pneumonia were selected upon admission, including 92 participants with a history of chronic coronary syndromes. Results. The study showed that elevated levels of biomarkers such as proinflammatory cytokine interleukin-6, iron-storage protein ferritin, serum angiotensin-converting enzyme-2, ketone body beta-hydroxybutyric acid, and fibrin breakdown product D-dimer may be associated with a more severe course of pneumonia caused by COVID-19 infection. Thus, these biomarkers had good prognostic value in predicting severe disease and death in patients with chronic coronary syndromes during hospitalization. Conclusions. The study confirms that an increase in the level of proinflammatory biomarkers is a predictor for the development of a severe coronavirus infection.
Principles of risk-based modeling of road traffic injury as a medical and sanitary consequence of a man-made emergency in Ukraine
Authors: Guryev S.O. , Kushnir V.A. , Iskra N.I. , Kuzmin V.Yu.
Published: April 2024

Background. The provision of modern medical care to victims of road accidents requires the development of standardized approaches. One of the main mechanisms for solving this problem is the formation of scientifically sound clinical protocols and clinical routes for providing medical care, which is essential to creating a model of traffic injury. The purpose of the study was to form a mo­del of traffic trauma in Ukraine as a health-sanitary consequence of an emergency of a man-made nature as a whole and on its basis — a model of providing medical assistance to victims of traffic trauma. Materials and methods. An array of studies of 1696 victims as a result of a traffic accident was formed. Methods of full mo­deling, insoluble randomization, formal logic, and medical statistics were applied. Clinical effective risks were identified. Results. Fundamental principles of modeling road trauma as a health-sanitary consequence of an emergency of a man-made nature as a whole and according to the main types of administrative-territorial entities of Ukraine were presented. The main criterion was the risk of the most serious consequence-the death of the victim, as well as determining the impact of risk-forming factors that did not form clinical-results risk. It has been proven that modeling traffic injury is an effective mechanism for reducing the severity of the medical consequences of road accidents. Conclusions. It is advisable to carry out the formation of models of traffic injury on a hierarchical principle. The principle of modeling significantly optimized making clinical and organizational decisions in the process of providing medical care and allowed to reduce the mortality rate of the victims by 8–11 %.
Sugarcane leaf litter biomass and its effects on increasing sugarcane drought stress tolerance and reducing CO₂ emissions
Authors: Kalbuadi Donny Nugroho , Siswanto Siswanto , Widiastuti Happy
Published: April 2024

Burning biomass on sugarcane plantations can lead to pollution (CO₂ emissions) and degradation in soil properties. Adopting non-burning technology can increase the value of biomass by applying it directly to the soil, although this may result in nutrient immobilization, which can hinder optimal plant growth due to high lignin and cellulose content or high CN ratio. On the contrary, composting waste with a decomposer will boost plant nutrient availability and enhance other soil characteristics. This research was aimed to assess the effect of several types of sugarcane organic matter on improving soil characteristics, growth of sugarcane and the CO₂ emissions. The study was conducted using a Completely Randomized Factorial Design with two factors: type of organic matter (control, fresh litter and compost of sugarcane biomass) and level of drought stress (100, 75, 50 and 25%). Incubation occurred over 16 weeks, divided into two phases of 8 weeks each. The results showed that the application of organic materials in the form of compost could reduce water loss caused by environmental heat and sugarcane growing process. Furthermore, compost application improved soil chemical and biological properties by increasing soil pH, total nitrogen (N), total phosphate (P), total potassium (K), and the total microbial population, although differences were not significant compared to the control. Additionally, applying organic matter in the form of compost or litter helped suppress or reduce emissions, with compost treatment proving more effective than litter in reducing CO₂ emissions.
Research on the Development of China-Brazil Trade Relationship under the Lula Administration—Based on the Comprehensive Strategic Partnership
Authors: Liu Mengru , Zou Sixiao
Published: April 2024

During President Lula’s visit to China, the two sides issued a joint statement on deepening the comprehensive strategic partnership, which made clear the common will to continuously promote economic and trade cooperation. The trade structure of China and Brazil is highly complementary, and the trade relationship has been stable. Due to Brazil’s good agricultural development and rich natural resources, the commodities exported to China are mainly soybeans, crude oil, and iron ore, and there has been a trend of gradually enriching commodity structure in recent years. The continuous positive development of China’s trade relations is reflected in the following aspects: On the one hand, from the data of the first three quarters of 2023, it can be seen that Brazil’s trade surplus with China has a trend of continuous expansion, which plays a positive role in the recovery of Brazil’s national economy; On the other hand, from the perspective of internal affairs and multilateral mechanisms, the future development of China-Brazil trade relationship can generate more possibilities and convenience under the multilateral framework, and improve the “common integration” of developing countries trade.
The effects of brine concentrations on the drying characteristics and microbial quality of dried fillets of African Catfish (Clarias gariepenus)
Authors: Dinrifo Rufus R
Published: April 2024

This study evaluates the drying characteristics of brined fillets of African catfish (Clarias gariepenus) at four brine concentrations (0, 10, 15 and 20%) and four drying temperatures (40, 50 60 and 70o C). Fresh catfish samples were obtained from a farm at Ikorodu, Lagos. They were cleaned, gutted and cut into fillets of approximately 5×4×3 cm sizes and soaked in the different concentrations of salt (NaCl) solutions for about 6 hours. Thereafter, the fillets were placed on trays and dried in a cabinet dryer till no appreciable changes in weight of the samples were observed. The drying data obtained were analyzed and employed to construct the drying curves, obtain the drying rate constants, the diffusion coefficients and activation energy. Drying rate increased with drying temperatures, with the fillets experiencing greater moisture loss at the initial stage of drying. Fillets dried at temperatures higher than 60 oC acquired the aroma of cooked fish. Both the drying rate constants and diffusion coefficients increased with increasing temperature. Microbial analysis revealed that the higher the salt concentration, the lower the microbial load on each of the dried samples at the different drying temperatures. The microbial load -population of total viable count recorded in this study varied from 4.50 × 105 cfu/g (70oC, 20% salt concentration) to 3.08 × 107 cfu /g (40oC, 0% salt concentration). Thus, drying temperature and salt concentration has profound effects on the drying rates as well as the microbial load of the dried catfish.
Capture myopathy in wild birds: clinical information, a systematic review
Authors: Vera Guzmám Andrés Octavio , Santibañez Araya Carolina Andrea , Azócar-Aedo Lucia , Valencia-Soto Carola
Published: April 2024

Capture myopathy is a complication of handling in many species of mammals and wild birds. This pathology is described as a state of muscle tissue degradation that can render a bird unable to stand, walk or fly. This study is a systematic review of the literature on capture myopathy in wild birds with information searched between years 1980 to 2022. Taxonomic information, clinical signs, diagnostic methods, and treatments used in this pathology were compiled, summarized, and classified. A modified evaluation method was used for the methodological analysis of each of the articles, meeting inclusion and exclusion criteria, to have a desirable methodological quality, resulting in a total of 12 included studies. A higher prevalence of Capture myopathy was described in the families Scolopacidae, Gruidae and Anatidae. Frequent clinical signs associated with myopathy, were the inability to incorporate, ataxia, paresis, and paralysis. The diagnostic methods are based on clinical pathology, evaluating the enzymes creatine kinase and aspartate aminotransferase with their respective levels. Common macroscopic alterations were changes in the coloration of the muscle tissue and hemorrhagic areas due to rupture of myofibril and a frequent microscopic lesion was damage to muscle myofibers. The literature describes supportive treatments such as the early use of fluid therapy, analgesics, tranquilizers, vitamins, sodium bicarbonate, while physical therapy is beneficial to protect from injury and incorporate the bird to the environment as soon as possible, however, prevention is the most effective way to avoid the onset of this disease.
IX Simposio de Investigaciones Uniremington (25 al 30 de septiembre de 2023)
Authors: Corporación Universitaria Remington
Published: April 2024

La Semana de la Investigación Uniremington es un espacio académico que busca fortalecer los diferentes medios de divulgación del conocimiento. En este contexto se presenta el IX Simposio de Investigaciones Uniremington (25 al 30 de septiembre de 2023), que tiene, entre otros objetivos, el propiciar un espacio de encuentro entre diferentes áreas del conocimiento como las ciencias de la salud, las ciencias veterinarias, las ciencias contables y empresariales, las ingenierías, las ciencias jurídicas y políticas, la educación y las artes y el diseño. Los puntos de vista multidisciplinares enriquecen las percepciones de las diferentes problemáticas presentadas y que aquejan a las regiones en las cuales Uniremington tiene presencia y, dado que nos encontramos a lo largo de gran parte del territorio colombiano, es de gran valor que desde el proceso formativo nuestros estudiantes puedan evidenciar cómo la divulgación del conocimiento se convierte en artífice de solución de problemas reales a través de la investigación.
DDoS Attack Detection and Classification using Machine Learning Algorithms
Authors: C Prof. Shwethashree G , R Tanusha , B Harshitha P , S Dhyan Ganesh , Gowda NS Dheeraj
Published: April 2024

Abstract: In the dynamic realm of networking, Software Defined Networking (SDN) emerges as a transformative force, offering centralized control and programmable capabilities that empower network administrators to efficiently manage and secure network infrastructures. However, amidst the ever-present threat of distributed denial-of-service (DDoS) attacks, the need for robust detection mechanisms is imperative. This research proposes a machine learning-based approach to enhance DDoS attack detection and classification within SDN environments. Leveraging the SelectKBest algorithm for feature selection and employing various classifiers such as Decision tree, KMeans++, XGBoost, etc.. with a focus on Random Forest as the most effective, the project aims to bolster detection accuracy and efficiency. Through comprehensive experimentation and comparative analysis, the efficacy of the proposed methodology in identifying DDoS threats is demonstrated, contributing to the ongoing efforts in fortifying cybersecurity defenses against sophisticated adversarial tactics.
Vehicle Renting System
Authors: Nag Shantanu
Published: April 2024

Abstract: The development of a vehicle rental system aims to provide customers worldwide with the convenience of booking vehicles online. This integrated system automates manual processes, allowing customers to easily input their vehicle preferences and location. The user-friendly interface of the Super vehicle Rental System enhances user experience, making it simple for customers to interact with the platform. Administrators have the capability to manage rentals, bookings, customer inquiries, and vehicle information efficiently. Customers can access vehicle models, descriptions, and prices, register, and view rental plans through a responsive website accessible on various devices. The system, built using PHP, DBMS, and XAMPP, offers a comprehensive solution for vehicle rental services, ensuring a seamless experience for both customers and administrators.
Study on Tractive System and Power Conveyance of EV Go-Kart
Authors: Kalyan B. Pavan , Adithya B. , Ruthviz D. Sai Venkat , Nagesh P. , Kumar Dr. B. Vijaya
Published: April 2024

Abstract: This paper gives an overview on a cognizant strategy while selecting the major components of tractive system and power conveyance of Ev go-kart. This study was compiled according to the rules specified in the 2023-2024 GKDC. Go-Kart is a racing vehicle having very low ground clearance and can be worked on only flat racing circuits. The vehicle is iterative and is based on various engineering and reverse engineering processes depending upon the availability, cost and other such factors. All the parameters like Reliability, safety, Cost, Performance, aesthetics, ergonomics, Standard dimensions & material were also taken into consideration at the same time. We have also taken into account the battery management system, motors and other electrical management systems along with a brief description about their working and specifications. Through detailed analysis of the tractive system components such as motors, controllers, batteries, and drivetrain configurations, this research seeks to identify key parameters influencing the overall performance and acceleration characteristics of electric gokarts. Furthermore, the project evaluates the impact of various factors including motor selection, battery technology, and drivetrain layouts on the overall efficiency and dynamic response of electric go-karts. The findings of this study contribute valuable insights for enhancing the design and performance of electric go-karts, thus advancing the development of sustainable and high-performance recreational and competitive electric go-karts
“FIT FUEL: A Diet Planner Platform Using Web Technology”
Authors: Joshi Deep , Kulkarni Ankita , Kulkarni Akshita , Jagtap Aditya , Jadhav Prof. Swati
Published: April 2024

Abstract: In today's fast-paced world, maintaining a healthy lifestyle has become a significant concern for many individuals. The "FIT FUEL" project introduces a cutting-edge solution in the form of a web-based diet planner platform that leverages modern technology to assist users in achieving their fitness goals. By incorporating user-provided data such as height, weight, and desired weight management goals (gain, lose, or maintain weight), the platform calculates Basal Metabolic Rate (BMR) and suggests personalized diet plans for breakfast, lunch, and dinner. One of the key innovations of FIT FUEL is its integration of Application Programming Interfaces (APIs) to fetch a diverse range of recipes, ensuring that users have access to a wide variety of meal options that align with their nutritional requirements and preferences. This platform not only facilitates calorie tracking but also promotes balanced nutrition and dietary diversity. The research paper discusses the design, implementation, and functionality of the FIT FUEL platform, highlighting its usercentric approach and the utilization of web technology to deliver a seamless and engaging experience. Additionally, the paper explores the potential impact of such digital tools on promoting healthy eating habits and overall wellness among individuals. Through this research, FIT FUEL aims to contribute to the growing field of digital health technologies, offering a practical solution for individuals seeking a personalized and effective approach to managing their diet and fitness journey in today's digital age.