bluuebunny/crossref_metadata_2025 huggingface dataset:
A Robust EfficientNetV2-S Classifier for Predicting Acute Lymphoblastic Leukemia Based on Cross Validation
Authors: Abd El-Aziz A. A. , Mahmood Mahmood A. , Abd El-Ghany Sameh
Published: December 2024

This research addresses the challenges of early detection of Acute Lymphoblastic Leukemia (ALL), a life-threatening blood cancer particularly prevalent in children. Manual diagnosis of ALL is often error-prone, time-consuming, and reliant on expert interpretation, leading to delays in treatment. This study proposes an automated binary classification model based on the EfficientNetV2-S architecture to overcome these limitations, enhanced with 5-fold cross-validation (5KCV) for robust performance. A novel aspect of this research lies in leveraging the symmetry concepts of symmetric and asymmetric patterns within the microscopic imagery of white blood cells. Symmetry plays a critical role in distinguishing typical cellular structures (symmetric) from the abnormal morphological patterns (asymmetric) characteristic of ALL. By integrating insights from generative modeling techniques, the study explores how asymmetric distortions in cellular structures can serve as key markers for disease classification. The EfficientNetV2-S model was trained and validated using the normalized C-NMC_Leukemia dataset, achieving exceptional metrics: 97.34% accuracy, recall, precision, specificity, and F1-score. Comparative analysis showed the model outperforms recent classifiers, making it highly effective for distinguishing abnormal white blood cells. This approach accelerates diagnosis, reduces costs, and improves patient outcomes, offering a transformative tool for early ALL detection and treatment planning.
A Novel IVBPRT-ELECTRE III Algorithm Based on Bidirectional Projection and Its Application
Authors: Wang Juxiang , Xu Min , Wang Yanjun , Zhu Ziqi
Published: December 2024

Fuzzy semantics have a wide range of applications in life, and especially when expressing people’s evaluation information, it is more specific. As people increasingly prefer to express their personal opinions through media platforms, the opinions of the general public have become an indispensable reference. However, information asymmetry can have a significant impact on the rationality of decision-making. Based on the above considerations, this paper extends bidirectional projection to probabilistic linguistic term sets to preserve the completeness of information as much as possible. The large-scale group decision-making problem under the probabilistic linguistic environment is extended to limited interval values, and a new group decision-making method named IVBPRT-ELECTRE III algorithm (ELECTRE III based on bidirectional projection and regret theory under limited interval-valued probabilistic linguistic term set) is proposed. The method is an extended ELECTRE III method based on limited interval-valued probabilistic linguistic term set (l-IVPLTS) bidirectional projection by regret theory approach. Firstly, this involves mining the online text comment information on social media about an emergency and considering the effect of the number of fans, determining the attributes and their initial weights for judging the strengths and weaknesses of the emergency management alternative using the TF-IDF and the Word2vec technology, and using the entropy value to adjust the initial weight of attributes, not only considering the real opinions of the public, but also combining with the views of experts, making the decision-making alternative selection more scientific and reasonable. Secondly, this paper fills the gap of bidirectional projection under l-IVPLTS environment; then, combining l-IVPLTS bidirectional projection and regret theory to determine the objective weights of experts, combines the differences in individual expertise of experts to obtain the comprehensive weights of experts, and uses the extended ELECTRE III method to rank the alternatives. Finally, the feasibility and validity of the provided method is verified through the Yanjiao explosion incident as a case.
Correlative Dynamics of Complex Systems: A Multifractal Perspective of Motion Based on SL(2R) Symmetry
Authors: Ghizdovat Vlad , Nazaretian Emanuel , Dumitras Catalin Gabriel , Agop Maricel , Placinta Constantin , Buzea Calin , Rusu Cristina Marcela , Vasincu Decebal , Borsos Zoltan
Published: December 2024

By assimilating any complex system into a multifractal, a new approach for describing the dynamics of such systems is proposed by means of the Multifractal Theory of Motion. In such context, the description of these dynamics is accomplished through continuous and non-differentiable curves (multifractal curves), giving rise to two scenarios. The first scenario is a Schrödinger-type multifractal scenario, a situation in which the motion laws can be related to the SL(2R) algebra invariant functions. The second scenario is a Madelung-type multifractal scenario, a situation in which if the differentiable and non-differentiable components of the velocity field satisfy a particular restriction, an SL(2R) symmetry can also be highlighted. Moreover, correlative dynamics in either of the two scenarios, based on the same SL(2R) symmetry, can be obtained by Riccati-type gauges, which imply Stoler coherent states. Several cases induced by the SL(2R) symmetry are also analyzed.
Galerkin-Type Solution of the Föppl–von Kármán Equations for Square Plates
Authors: Lychev Sergey , Digilov Alexander , Djuzhev Nikolay
Published: December 2024

The solution of the non-linear Föppl–von Kármán equations for square plates in the form of expansion over a system of eigenfunctions, generated by a linear self-adjoint operator, is obtained. The coefficients of the expansion are determined via the reduction method from the infinite-dimensional system of cubic equations. This allows the proposed solution to be considered as a non-linear generalization of the classical Galerkin approach. The novelty of the study is in the strict formulation of the auxiliary boundary problem, which makes it possible to take into account a rigid fixation against any displacements along the boundary. To verify the proposed solution, it is compared with experimental data. The latter is obtained by the holographic interferometry of small deflection increments superimposed on the large deflection caused by initial pressure. Experiment and theory show a good agreement.
Evaluating the Impact of Digital Transformation on Urban Innovation Resilience
Authors: Yu Ruoxi , Chen Yaqian , Jin Yuhuan , Zhang Sheng
Published: December 2024

Enhancing urban innovation resilience is crucial for adapting to change and pursuing innovation-driven, high-quality development. The global trend of digital transformation has profound implications for urban innovation; however, the specific effects of digital transformation on urban innovation resilience remain insufficiently explored. This study utilizes panel data from 285 prefecture-level and above cities in China, spanning from 2007 to 2022. It treats the Broadband China Pilot (BCP) policy as a quasi-natural experiment of digital transformation and employs a time-varying Difference-in-Differences (DID) method to investigate the impact of digital transformation on urban innovation resilience. The results yield several important insights: (i) digital transformation enhances urban innovation resilience; (ii) the effect of digital transformation on urban innovation resilience is heterogeneous across regions and city sizes; (iii) digital transformation improves urban innovation resilience through the mediation effect of green total factor productivity (GTFP); (iv) urban industrial upgrading and urban innovation vitality play significant moderating roles in the relationship between digital transformation and urban innovation resilience. These findings contribute to a deeper theoretical understanding of the relationship between digital transformation and urban innovation resilience.
Rutin Alleviates Zearalenone-Induced Endoplasmic Reticulum Stress and Mitochondrial Pathway Apoptosis in Porcine Endometrial Stromal Cells by Promoting the Expression of Nrf2
Authors: Chen Chuangjiang , Wang Chenlong , Jiang Hui , Wang Mengya , Rahman Sajid Ur , Chen Changjiang , Ding Hongyan , Zhao Chang , Huang Wanyue , Wang Xichun
Published: December 2024

Zearalenone (ZEA) is a mycotoxin commonly found in moldy cereals and has a range of toxic effects that have seriously affected animal husbandry. Rutin, a natural flavonoid with antioxidant activities, has been studied for its potential involvement in mitigating ZEA-induced apoptosis in porcine endometrial stromal cells (ESCs) and its potential molecular mechanism, particularly concerning the expression of Nrf2. This study investigates the molecular pathways by which rutin alleviates ZEA-induced ESC apoptosis, focusing on the role of Nrf2. Experimental data reveal that ZEA suppresses Nrf2 nuclear translocation and reduces mitochondrial membrane potential (MMP), leading to oxidative stress, endoplasmic reticulum stress (ERS), and mitochondrial pathway-driven apoptosis. Notably, rutin mitigates ZEA-induced apoptosis through Nrf2 activation. These findings highlight Nrf2 as a critical factor in rutin’s protective effects against ZEA-induced apoptosis, offering valuable insights for the clinical prevention and treatment of ZEA toxicity.
Host-Induced Gene Silencing of the Aspergillus flavus O-Methyl Transferase Gene Enhanced Maize Aflatoxin Resistance
Authors: Omolehin Olanike , Raruang Yenjit , Hu Dongfang , Han Zhu-Qiang , Promyou Surassawadee , Brown Robert L. , Wei Qijian , Rajasekaran Kanniah , Cary Jeffrey W. , Wang Kan , Jeffers Dan , Chen Zhi-Yuan
Published: December 2024

Maize is one of the major crops that are susceptible to Aspergillus flavus infection and subsequent aflatoxin contamination, which poses a serious health threat to humans and domestic animals. Here, an RNA interference (RNAi) approach called Host-Induced Gene Silencing (HIGS) was employed to suppress the O-methyl transferase gene (omtA, also called aflP), a key gene involved in aflatoxin biosynthesis. An RNAi vector carrying part of the omtA gene was introduced into the B104 maize line. Among the six transformation events that were positive for containing the omtA transgene, OmtA-6 and OmtA-10 were self-pollinated from T1 to T4, and OmtA-7 and OmtA-12 to the T6 generation. These four lines showed at least an 81.3% reduction in aflatoxin accumulation at the T3 generation under laboratory conditions. When screened under field conditions with artificial inoculation, OmtA-7 at T5 and T6 generations and OmtA-10 at T4 generation showed a reduction in aflatoxin contamination between 60% and 91% (p < 0.02 to p < 0.002). In order to develop commercial maize lines with enhanced aflatoxin resistance, the omtA transgene in OmtA-7 was introduced into three elite inbred lines through crossing, and the resulting crosses also exhibited significantly lower aflatoxin accumulation compared to crosses with non-transgenic controls (p < 0.04). In addition, high levels of omtA-specific small RNAs were only detected in the transgenic kernel and leaf tissues. These results demonstrate that suppression of omtA through HIGS can enhance maize resistance to aflatoxin contamination, and this resistance can be transferred to elite backgrounds, providing a viable and practical approach to reduce aflatoxin contamination in maize.
Atlas of Interactions Between Decoration Proteins and Major Capsid Proteins of Coliphage N4
Authors: McJarrow-Keller Klem , Eruera Alice-Roza , Crowe Alexander J. M. , Kumaran Rosheny , Hyun Jaekyung , Bostina Mihnea
Published: December 2024

Coliphage N4 is a representative species of the Schitoviridae family of bacteriophages. Originally structurally studied in 2008, the capsid structure was solved to 14 Å to reveal an interesting arrangement of Ig-like decoration proteins across the surface of the capsid. Herein, we present a high-resolution N4 structure, reporting a 2.45 Å map of the capsid obtained via single particle cryogenic-electron microscopy. Structural analysis of the major capsid proteins (MCPs) and decoration proteins (gp56 and gp17) of phage N4 reveals a pattern of interactions across the capsid that are mediated by structurally homologous domains of gp17. In this study, an analysis of the complex interface contacts allows us to confirm that the gp17 Ig-like decoration proteins of N4 are likely employed by the virus to increase the capsid’s structural integrity.
Assessment of Vaccination Impact in PPR-Control Program Implemented in Southern States of India: A System Dynamics Model Approach
Authors: Gurrappanaidu Govindaraj , Subbanna Naveen Kumar Gajalavarahalli , Wanyoike Francis , Bahta Sirak , Reddy Yeswanth Raghuram , Bardhan Dwaipayan , Vinayagamurthy Balamurugan , Vijayalakshmy Kennady , Habibur Rahman
Published: December 2024

Mass vaccination against peste des petits ruminants (PPR) in two southern states of India, namely Andhra Pradesh and Karnataka, has reduced disease outbreaks significantly. The sporadic outbreaks reported now can be attributed in part to the recurring movement of sheep and goats between these contiguous states. This study assessed the present level of economic burden and impact of vaccination on the local system (one state), considering the exposure from the external system (neighboring state) using a system dynamic (SD) model. The SD model relies on interdependence, interaction, information feedback, and circular causality and captures potential feedback between disease control interventions and their impact on various epidemiological and economic outcomes. The data for parameterization of the model were collected through surveys, expert elicitation, and literature review. The sporadic outbreaks reported in recent years (<10 outbreaks/year during 2022) were due to continuous “mass vaccination” for more than a decade. During 2021–2022, the PPR incidence was less in both the states, with an estimated loss of USD 26.30 and USD 22.86 million in Andhra Pradesh and Karnataka, respectively. The SD model results showed a systemic increase in flock size and offtakes and a decline in the number of infected and death cases under high vaccination coverage (75% and 100% coverage) compared to the low-coverage scenario. Hence, the coordinated inter-state vaccination efforts offer better prospects, as efforts in one state have positive externalities in terms of fewer outbreaks in a neighboring state.
Intranasal Immunization with DNA Vaccine HA-CCL19/Polyethylenimine/Chitosan Composite Provides Immune Protection Against H7N9 Infection
Authors: Xiang Yuqing , Zhang Hongbo , An Youcai , Chen Ze
Published: December 2024

Background/Objectives: The H7N9 avian influenza virus (AIV) constitutes a novel subtype of influenza virus that has emerged within the past decade. Empirical studies have demonstrated that H7N9 AIV holds the potential to trigger a human pandemic. Vaccines constitute the sole armament available to humanity in combating influenza epidemics. DNA vaccines present numerous merits; however, substantial conundrums persist regarding how to augment their immunogenicity and implement their delivery through mucosal immunization. Methods: In this study; BALB/c mice were utilized as a model to investigate the effect of CCL19 as a molecular adjuvant and to determine the immune response elicited by polyethylene imine (PEI) and chitosan (CS) as adjuvants during the delivery of a DNA vaccine through the nasal mucosal route. Results: Our results revealed that the CCL19 molecular adjuvant exerts a substantial immunomodulatory enhancement effect on the H7N9-HA DNA vaccine, inducing more pronounced cellular and humoral immunity. Additionally, our results indicated that the composite formed by the HA-CCL19 DNA in combination with PEI and CS effectively activates local mucosal immunity as well as systemic humoral and cellular immunity, offering 100% protection against lethal doses of homologous virus challenges. Conclusions: CCL19 conspicuously augments the immunogenicity of the influenza virus HA DNA and conserves the integrity of the vaccine antigen. Simultaneously, CS and PEI proficiently facilitate the mucosal delivery of DNA, thereby eliciting mucosal immunity related to DNA vaccines. This study investigated the feasibility of utilizing nasal mucosa for DNA vaccine immunization, which holds significant implications for the advancement and application of DNA vaccines in public health
Effect of Calcination Temperature on the Photocatalytic Activity of Precipitated ZnO Nanoparticles for the Degradation of Rhodamine B Under Different Light Sources
Authors: Saidani Amira , Boudraa Reguia , Fendi Karim , Benouadah Lamia , Benabbas Abderrahim , Djermoune Atmane , Salvestrini Stefano , Bollinger Jean-Claude , Alayyaf Abdulmajeed Abdullah , Mouni Lotfi
Published: December 2024

This research provides valuable insights into the application of ZnO nanoparticles in photocatalytic wastewater treatment. Process optimization was carried out by determining the ratio of the surface area to the energy band gap (S/E) in the photocatalysis rate under different sources of light (UV light, visible light, sunlight). The nanoparticles were synthesized using the precipitation technique, and the calcination process was carried out within a temperature range of 400 to 700 °C. The structural, morphological, and optical properties of materials were investigated using X-ray powder diffraction (XRD), scanning electron microscopy (SEM), UV-Vis diffuse reflectance (UV-Vis DRS), Raman spectroscopies, and Fourier transform infrared (FTIR) spectroscopies. The study demonstrates that calcination temperature significantly influences the photocatalytic activity of ZnO nanoparticles by altering their size, surface properties, shape, and optical behavior. Optimal decomposition efficiencies of Rhodamine B were achieved at 400 °C, with yields of 24%, 92%, and 91% under visible, UV, and sunlight irradiation, respectively. Additionally, the surface area decreased from 12.556 to 8.445 m2/g, the band gap narrowed slightly from 3.153 to 3.125 eV, and crystal growth increased from 0.223 to 0.506 µm as the calcination temperature rose. The photocatalytic properties of ZnO nanoparticles were assessed to determine their efficiency in decomposing Rhodamine B dye under operational parameters, including pollutant concentration (C0), sample amount, pH level, and reaction time. The sample exhibited the best breakdown rates with C0 = 5 mg/L, solid-to-liquid ratio (S/L) = 50 mg/L, pH = 7, and reaction time = 1 h. Additionally, we combined two oxidation processes, namely H2O2 and photocatalytic oxidation processes, which significantly improved the Rhodamine B removal efficiency, where 100% of RhB was degraded after 60 min and 100 µL of H2O2.
Research on the Failure Mechanism and Treatment Technology of Landslides in Typical Accumulation Bodies Along Highways in Qinghai Province
Authors: Yang Yunfei , Yang Zixuan , Xu Wanzhong , A Fayou , Guo Yinghang , Zheng Jieru
Published: December 2024

Landslides on the Jiaxi Highway in Qinghai Province threaten construction safety and quality. The on-site data analysis shows that excavation at the foot of the slope and heavy rainfall are the key factors causing the displacement of the Q1 monitoring point by 1825 mm. This article uses numerical simulation methods combined with the strength reduction method to study the stability changes of slopes under different working conditions. Numerical simulations identified the landslide location and predicted a 1960 mm slip and a safety factor of 1.26 under natural conditions, indicating risks. The study adopted a strategy combining slope cutting, load reduction, and sheet pile wall reinforcement. After the first treatment, the safety factor rose to 1.83 with a 40 mm displacement; after the second, it reached 2.36 with a 37 mm displacement. Continuous monitoring showed a 50 mm displacement over six months, indicating stability. Rainfall simulations before and after treatment explained the stability evolution and local slope stability. Treatments increased the safety factor to 2.16 with a 17.6 mm displacement. This study significantly improved highway landslide stability and verified treatment effectiveness, providing a reference for similar geological conditions.
Wind, Wave, and Ice Impacts on the Coastal Zone of the Sea of Azov
Authors: Yaitskaya Natalia , Magaeva Anastasiia
Published: December 2024

The coastal zone of the Sea of Azov is a dynamic environment influenced by various natural and anthropogenic factors, including wind, wave action, beach material removal, and cultivation on cliff edges. The coastal zone of freezing seas is also influenced by ice cover during winter. This study investigates the dynamics of the Sea of Azov’s coastal zone during winter (2014–2023), focusing on the impacts of waves and ice, to identify the most vulnerable coastal areas. We analyzed high-resolution satellite imagery and employed mathematical modeling to obtain data on ice pile-up, fast ice formation, wind patterns, and storm wave dynamics within the shallow coastal zone. Long-term wind data revealed an increase in maximum wind speeds in December and January, while February and March showed a decrease or no significant trend across most coastal observation stations. Storm waves (significant wave height) during the cold season can reach heights of 3.26 m, contributing to coastal erosion and instability. While the overall ice cover in the Sea of Azov is decreasing, with fast ice rarely exceeding 0.85% of the total sea area, ice pile-up still occurs almost annually, with the eastern part of Taganrog Bay exhibiting the highest probability of these events. Our analysis identified the primary impacts affecting the shallow coastal zone of the Sea of Azov between 2014 and 2023. A map was generated to illustrate these impacts, revealing that nearly the entire coastline is subject to varying degrees of wave and ice impact. Exceptions include the eastern coast, which experiences minimal fast ice and ice pile-up, with average or lower dynamic loads, and the southern coast, where wind–wave action is the dominant factor.
China’s Inequality in Urban and Rural Residential Water Consumption—A New Multi-Analysis System
Authors: Lv Tongtong , Song Yu , Chen Zuxu
Published: December 2024

This paper presents a multivariate analysis of urban and rural residential water consumption from 2010 to 2020 using an input–output model considering consumption and income. We employed structural decomposition analysis (SDA) and structural path analysis (SPA) to identify the main drivers and pathways. The Water-Gini (W-Gini) coefficient was used to quantify inequalities in water consumption. The results showed that rural water consumption exceeded urban consumption starting in 2012, reaching 1.8 times the urban level by 2020, with Agriculture (S1) being the largest contributor. SDA indicated that the decrease in urban consumption was primarily due to the intensity effect. In SPA, the first-order path accounted for over 70% of total consumption, with urban contributions linked to “residential income → S2-Health care and medical services (M7)”. For rural areas, “residential income → F1-Food (M1)” contributed to 40% of water consumption in the first-order path, reflecting increased consumption in the middle sector. The W-Gini coefficient rose to 0.4 in 2020, driven by the income side, particularly in Agriculture (S1), which had a W-Gini of 0.61. These variations in water consumption highlight the need for policy considerations, especially regarding rural income.
Risk Perception in the Nigua River Basin: Key Determinants and Policy Implications
Authors: Maldonado-Santana Casimiro , Torres-Valle Antonio , Franco-Billini Carol , Jauregui-Haza Ulises Javier
Published: December 2024

The Nigua River basin in the Dominican Republic is a critical hydrographic area facing significant environmental challenges, including deforestation, soil erosion and pollution from mining and agricultural activities. This study explores the role of risk perception among local residents in shaping policies for the basin’s sustainable management. The research aims to identify the factors influencing risk perception and propose actionable strategies to improve environmental governance in the region. A “perceived risk profile” methodology was applied, using survey data from 1223 basin residents. The analysis identified key variables that influence risk perception, including demographic factors such as education, gender, and place of residence. The findings reveal that risk underestimation correlates with low awareness of risks, uncertainty about the origins of disasters, fatalism toward natural events, and low trust in institutions. In contrast, risk over-estimation is linked to infrequent risk communication, heightened catastrophism and a strong emphasis on the benefits of environmental protection. The study also highlights significant regional differences in risk perception, with residents of the lower basin exhibiting higher perceptions of risk due to cumulative pollution and frequent disaster impacts. Based on these insights, the study recommends targeted strategies to bridge risk perception gaps, including tailored risk communication, community-based environmental education and stronger institutional trust-building initiatives, all aimed at fostering more effective and inclusive environmental governance in the Nigua basin.
Assessing the Impacts of Failures on Monitoring Systems in Real-Time Data-Driven State Estimation Models Using GCN-LSTM for Water Distribution Networks
Authors: Bonilla Carlos A. , Brentan Bruno , Montalvo Idel , Ayala-Cabrera David , Izquierdo Joaquín
Published: December 2024

Water distribution networks (WDNs) are critical infrastructures that directly impact urban development and citizens’ quality of life. Due to digitalization technologies, modern networks have evolved towards cyber-physical systems, allowing real-time management and monitoring of network components. However, the increasing volume of data from monitoring poses significant challenges to accurately estimate the hydraulic status of the system, mainly when anomalous events or unreliable readings occur. This paper presents a novel methodology for state estimation (SE) in WDNs by integrating convolutional graph networks (GCNs) with long short-term memory (LSTM) networks. The methodology is validated on two WDNs of different scales and complexities, evaluating the SE of the sensors. The capability of the GCN-LSTM model was assessed during the last two months of the time series by simulating failures to analyze its impact on sensor readings and estimation accuracy. The smaller network showed higher sensitivity of the sensors to detect failures, while the larger one evidenced more challenges in SE due to the sensor dispersion. Overall, the model achieved low prediction errors and high coefficient of determination values between the actual and simulated values, showing good performance. Likewise, the simulated failures showed that replacing the missing data with the hourly mean of the last week significantly improved the accuracy of the predictions, guaranteeing a robust SE in the event of sensor failures. This methodology provides a reliable tool for addressing various network configurations’ operational challenges.
Using segmentation methods based on artificial intelligence technologies to build 3D models
Authors:   Federal State Autonomous Educational Institution of Higher Education «Peter the Great St. Petersburg Polytechnic University», St. Petersburg, Russia, Ivanov V. M. , Knyazev A. V. ,   National Standard Distribution LLC, Moscow, Russia, Strelkov S. V. ,   OOO «Medical», Russia, St. Petersburg, Sinegub A. V. ,   Federal State Autonomous Educational Institution of Higher Education «Peter the Great St. Petersburg Polytechnic University», St. Petersburg, Russia, Smirnov A. Yu. ,   Federal State Autonomous Educational Institution of Higher Education «Peter the Great St. Petersburg Polytechnic University», St. Petersburg, Russia
Published: December 2024

Virtual reality, augmented realit y and mixed realit y technologies are becoming increasingly popular
in medicine, including neurosurgery and trauma treatment. The Medical company has created the Medical
Vision system, which allows surgeons to see the patient’s insides in 3D during surgery using special glass -
es. However, before the operation it is necessary to prepare a 3D model, which takes time. To speed up this process, it is proposed to use automatic segmentation using artificial intelligence. The research is aimed at analyzing existing neural networks and open solutions for this problem.
Compliance with Treatment in Combat Veterans with Cephalgia and Inpatients of the Somatic Wards
Authors:   Bashkir State Medical University, Valiev V.S. ,   Academy of Sciences of the Republic of Bashkortostan, Akhmadeeva L.R. , Tregubova A.Kh. , Amirkhanova A.A. , Akhmetzyanova A.I. , Vetoshkina D.A. , Kireeva E.F. , Rakhmatullin A.S. ,   Republican Clinical Hospital for War Veterans
Published: December 2024

Compliance (adherence) to treatment is one of the important components of success therapy. In the modern world, the number of people who took part in military operations, received injuries and receive medical care in a hospital setting is growing. The aim of this work is to assess compliance with treatment in inpatients of various categories: combat veterans who have suffered a traumatic brain injury and complain of headaches, and inpatients who have not participated in combat operations with painful and non-painful forms of various somatic or neurological diseases.
Material and methods. The study was conducted in two hospitals in Ufa: the Republican Clinical Hospital of War Veterans (RCHWV) and the clinic of the Bashkir State Medical University (CBSMU). All patients were interviewed using the Morisky-Green compliance scale. We examined 155 patients of the middle age group: 56 male patients from CBSMU and 99 (55 men and 44 women) patients from RCHWV, who gave informed voluntary consent to participate in the study and were divided into subgroups depending on the presence and duration of pain.
Results. Patients at the CBSMU suffering from chronic pain were somewhat more committed to therapy and listened more attentively to the doctor’s recommendations (average score on the Morisky – Green scale – 2.41 ± 0.19) than patients who did not experience pain (average score on the Morisky – Green scale – 2.37 ± 0.16), but the differences between the subgroups were statistically insignificant (p = 0.87). Among the combat veterans from the RCHWV, statistically significant differences between patients of the two subgroups (those hospitalized for the first time after a traumatic brain injury and those observed for a long time) in terms of compliance with treatment were not obtained, and their average compliance rate was significantly (p = 0.004) lower than in the group from CBSMU (1.82 ± 0.10).
Conclusion. Despite the fact that the sample of veteran patients was younger in age, and all these patients had pain (cephalgia), for the treatment of which they sought medical help, their compliance with treatment, according to this study, was significantly lower than in the group of patients who did not participate in combat operations. This indicates that patients who participated in combat operations represent a difficult contingent to manage and require an even more thorough and personalized approach and consideration of their psychological characteristics when planning their management programs than patients in other hospitals.
Dynamics of Anxiety, Depression, Physical and Cognitive Functioning in Subacute Stroke: a Clinical and Morphometric Study and the Possibility of Using Virtual Reality
Authors:   Bashkir State Medical University, Bulyakova G.A. , Akhmadeeva L.R. , Lackman I.A. , Baikov D.E. , Goldyrev Ye.O. , Amirkhanova A.A. , Isrofilov M.O. , Mamytova E.M. , Oko E.F. , Rakhimkulov A.S. ,   Republican Clinical Hospital for War Veterans,   Academy of Sciences of the Republic of Bashkortostan,   Ufa University of Science and Technology,   Abuali ibni Sino Tajik State Medical University,   I.K. Akhunbayev Kyrgyz State Medical Academy,   ‘Doctor’ Medical Center of Tuymazy
Published: December 2024

Recovery of cognitive and affective disorders after stroke is possible to varying degrees in cerebral stroke-survivors. It is hypothesized that these functions and the effectiveness of rehabilitation may depend on the size of the prefrontal dorsolateral cortex (DLC) and the thalamus.
Purpose is to correlate the sizes of the DLC and thalamus measured analyzing the data from computed tomography data various functioning indicators in sub-acute ischemic stroke (IS) patients and their dynamics during rehabilitation.
Material and methods. The study group included 102 patients of late working age (68% men) undergoing a course of rehabilitation in sub-acute phase of IS using a clinical assessment of affective, physical and cognitive impairments and voxel morphometry of the DLC and thalamus based on the results of cerebral computed tomography performed in the acute period of IS. All subjects gave informed consent to participate in the study, the study design was approved by the Local Ethics Committee of the Bashkir State Medical University.
Results. The absence of a correlation between the sizes of the examined cerebral structures and the recovery of mental health was shown. The dynamics of anxiety, depression and the rehabilitation routing scale index showed a negative correlation with the transverse sizes of both thalami.
Conclusion. The rehabilitation potential for cognitive impairment does not depend on the morphometric parameters of the prefrontal dorsolateral cortex and thalami. The transverse sizes of the thalami, measured according to X-ray computed tomography in the acute period of cerebral ischemic stroke may be significant for predicting the limitations of life activity and functioning (both physical and psychological (as shown by the data on anxiety and depression). A promising field for the rehabilitation planning for such patients includes methods using elements of virtual reality in the treatment.
THE EFFECT OF STORAGE TIME AND TYPE OF ANTIKOAGULANT IN PLATELET RICH PLASMA (PRP) ON PLATELET COUNTS
Authors: Lestari Felia , Noviar Ganjar , Nurhayati Betty , Hayati Eem
Published: December 2024

Background: Platelet Rich Plasma is a biological product in the form of autologous plasma produced from the centrifugation process of blood specimens and has a platelet concentration above normal values. Things that can affect the results of PRP are blood collection, centrifugation speed, centrifugation time and temperature and the use of anticoagulants. Aims: The purpose of this study was to determine the average and see the effect of sodium citrate anticoagulant and ACD-A anticoagulant by using a shelf life of 0 hours, 4 hours and 8 hours in PRP on platelet count. Methods: This type of research is a pseudo-experiment with a Statistica Group Comparison research design. The number of samples in this study were 6 people. PRP research data on platelet count was processed statistically with the General Linear Model (GLM) method. The Results: The average data of PRP on platelet count using sodium citrate anticoagulant with a shelf life of 0 hours 533.333 cell/µL; 4 hours 527.167 cell/µL; 8 hours 190.167 cell/µL. Average data of PRP on platelet count using ACD-A anticoagulant with a shelf life of 0 hours 986.333 cell/µL; 4 hours 976.500 cell/µL; 8 hours 634.833 cell/µL. The data results for 0 hour and 4 hour shelf life on anticoagulants Sodium Citrate and ACD-A have a Sig value of 0.646 0.05 while 8 hour shelf life has a Sig value of 0.000 0.05. Conclusion: No effect of 0 hour and 4 hour shelf life while there is an effect of 8 hour shelf life and there is an effect of anticoagulants Sodium Citrate and ACD-A in PRP on platelet count.
THE EFFECT OF EDTA BLOOD STORAGE TIME AND ROOM TEMPERATURE ON THE EXAMINATION OF ERYTHROCYTE SEDIMENTATION RATE
Authors: Nabila Lazulpa , Durachim Adang , Hayati Eem , Noviar Ganjar
Published: December 2024

Background: Erythrocyte Sedimentation Rate (ESR) is an examination that aims to determine the speed of erythrocytes settling in the blood measured for 1 hour. The examination of ESR performed within 2 hours at most. However, the examination is often not performed immediately due to several reasons that cause delays for several hours. The room temperature during the examination affects the examination. The temperature in West Java has the highest average reaching 32°C. Aims: To determine an effect of EDTA blood storage time and room temperature on the examination of ESR. Method: This research is included in the type of quasi eksperimental research by involving variations in blood storage time immediately, 4 hours, and 5 hours and room temperature during examination is room temperature 20-25oC and temperature 29-32oC. Result: The result of this study showed that there was a significant effect of the variable EDTA blood storage time and room temperature on the examination of ESR which is indicated by the value of Sig. 0,00 (Sig. 0,05). This is because EDTA blood stored more than 2 hours after blood collection will affect the shape of the cells and the temperature can affect the settling speed. Conclusion: Based on the results of statistical tests, it can be concluded that there is an effect of EDTA blood storage time and room temperature on the examination of ESR
EXAMINATION FOR TYPHOID FEVER USING IMMUNO MAGNETIC BEADS INHIBITION (TUBEX TF) METHOD AT RSUD SITI FATIMAH SOUTH SUMATERA PROVINCE 2024
Authors: Meilani Selly Asti
Published: December 2024

Background: Typhoid fever was a systemic infectious disease caused by the Salmonella typhi bacteria. The symptoms included increased body temperature, headache, nausea, loss of appetite, weakness, diarrhea, liver and spleen damege and death. Usually occurs within 1 to 3 weeks after exposured to Salmonella typhi bacteria. Aims: This research aimed to find out how to check for typhoid fever using the Immuno Magnetic Beads Inhibition (Tubex TF) method at RSUD Siti Fatimah South Sumatra Province in 2024. Methods: The methodology used in this research was quantitative descriptive with a research sample of 4 serum samples from patients with suspected typhoid fever collected by purposive sampling. The results: The results showed one possitve sample with a score of 4 on Tubex TF and three negative samples with a score 2 on Tubex TF. Conclusion: This showed that the Tubex TF method can differentiate the severity of thyphoid fever effectively.
THE EFFECT OF SAMPLE TEMPERATURE VARIATIONS ON MEASURED URINE ALCOHOL CONCENTRATION: A SYSTEMATIC REVIEW
Authors: Kurniawan Salsabila Yunita
Published: December 2024

Background: If an alcohol-containing urine sample cannot be analyzed immediately or requires shipping, it should be stored at an appropriate temperature. Pre-analytic is a stage that needs serious attention where at this stage the risk of errors often occurs. Error in storage samples can affect the results of alcohol concentration, so a laboratory technician needs to understand urine sample storage to measure alcohol concentration. Aims: Knowing the best storage of urine temperature in measuring alcohol concentration. Methods: This study used a systematic literature review of urine samples to measure alcohol concentration. The results: The storage temperature on measured urine alcohol concentration was carried out from 1977 – 2023. It can be seen that in some studies regarding storage temperatures in urine using at least 5 temperatures: -20oC, 4oC, 6oC, 14oC, ±20oC. The temperature storage at 4oC can prevent the production of ethanol due to microorganism activity, it will maintain the stability of alcohol concentration in urine. Conclusions: A temperature of 4oC is highly recommended for measuring alcohol concentration in urine samples.
COMPARISON OF POCT AND HEMATOLOGY ANALYZER METHODS FOR HEMOGLOBIN LEVEL EXAMINATION IN SECOND TRIMESTER PREGNANT WOMEN AT TUMPANG HEALTH CENTER
Authors: Fitria Diva Anggi
Published: December 2024

Hemoglobin is a component of the protein molecule in erythrocyte cells that distributes oxygen (O2) throughout the body. Hemoglobin contains iron which makes blood red. HB levels are a supporting examination that helps establish a diagnosis as a reflection of the body's reaction to a disease and as an indication of the progress of therapy for anemia sufferers and other diseases. Method: This type of research is descriptive research with a cross sectional design. The sample collection technique used the Accidental Sampling technique with a sample population of 22 pregnant women in the second trimester at the Tumpang Community Health Center. Results: The results of research on hemoglobin levels using the POCT method and Hematology Analyzer using the dependent T test showed a significant comparison of p value 0.01 (0.05). The average POCT Hb level result was 1.55 g/dl and the average hematology analyzer Hb level result was 1.82 g/dl. The Hematology Analyzer method is more accurate because the average result obtained is higher than POCT.Conclusion :Suggestions for further research can be used Different samples and a larger number of samples require comparative examination of HB levels using other methodssahli, cyanmethemoglobin, and tallquist.
PERAMALAN INFLASI UMUM DI INDONESIA TAHUN 2024 MENGGUNAKAN MODEL ARIMA
Authors: Dinureja M. Farhan , Sofiyat Ali Ilham , Pratignyo Lisana Sumarah
Published: December 2024

Inflasi merupakan salah satu indikator ekonomi yang krusial dan memiliki dampak signifikan terhadap perekonomian sebuah negara. Penelitian ini berfokus pada upaya meramalkan tingkat Inflasi di Indonesia tahun 2024. Data Tingkat Inflasi Harga Konsumen Nasional  diperoleh dari Badan Pusat Statistik (BPS) dan Peramalan menggunakan model ARIMA. Hasil analisis data menunjukan bahwa ARIMA(1,1,1) adalah model terpilih dan terbaik untuk melakukan peramalan. Berdasarkan model tersebut, maka hasil peramalan menunjukan tren negatif.
APLIKASI SOFTWARE R PADA PENDETEKSIAN ASUMSI NORMALITAS DAN MULTIKOLINEARITAS REGRESI LINIER BERGANDA
Authors: Pratignyo Lisana Sumarah , Prabowo Soekardi Hadi
Published: December 2024

Makalah ini pemenuhan hasil pendeteksian Asumsi Klasik Model Regresi Linier Berganda dua Prediktor terkait dengan masalah Normalitas Residu dan Multikolinesritas, Data Penelitian dengan  skala Pengukuran minimal Interval untuk seluruh Variabel. Namun untuk Variabel yang Datanya diperoleh dari hasil penelitian dengan Metode Survei menggunakan Kuesioner berbasis Skala Likert,  diperoleh Skala Pungkuran Data ordinal, hal ini mengakibatkan  Teknik Regresi tidak efektif diterapkan. Oleh karena itu, agar Model Regresi Ganda tersebut tetap efektif diterapkan, maka perlu dilakukan Transformasi Data Data dari ordinal ke interval. Proses Tansrformasi Data dapat menggunakan Metoda Suksesif Interval (MSI) atau acuan Angka Normal baku Z. Prosedur analisis selanjutnya dilakukan Pengujian Asumsi Persyaratan Analisis Regresi untuk m,endeteksi bahwa Taksiran Parameter Model gresi berbasis OLS memiliki sifat Penaksir Tak Bias Terbaik (Best Linier Unbiased Estimator atau BLUE dan Asumsi Kenormalan distribusi Populasi residu serta tidak terdapat masalah multikolinearitas dipenuhi.
Aves presentes en la antigua vía al Huila: Parque Turbay hasta la vereda el Limón, municipio de Florencia-Caquetá, Colombia
Authors: Diaz-Rivas Ider Humberto , Perdomo-Rojas Amadeo
Published: December 2024

El municipio de Florencia es una de las zonas más importantes de la Amazonía colombiana por su ubicación en la transición Andino-Amazónica; presentando alta diversidad de fuentes hídricas, flora y fauna. Por eso, se quiso identificar la riqueza de aves en la antigua vía al Huila zona urbana vereda el Limón municipio de Florencia. Se realizó un recorrido de 10 km iniciando en el parque Turbay (N 1°38'17.36", W 75°36'37.54") hasta la vereda el Limón corregimiento el Caraño (N 1°40'51.45", W 75°36'48.49"). Durante los meses de marzo y abril de 2017 con visitas cada 15 días, para un total de cuatro muestreos de aves y 32 horas de esfuerzo de muestreo; donde se recorrió de forma sistemática los bordes de la carretera, registrando y fotografiando las aves presentes en un radio de 50 m. Se observaron 627 individuos de aves, distribuidos en 58 especies, 28 familias y 15 órdenes. La riqueza de aves en los muestreos representa el 6% para Caquetá y 3% para Colombia. Se identificaron 13 tipos de dieta, donde la mayor riqueza correspondió a; omnívoro (O) con 16 especies, insectívoro (I) con nueve especies, frugívoro-insectívoro (Fr-I) y frugívoro (Fr) con siete especies cada uno y los de menor riqueza carnívoro-piscívoro-insectívoro acuático (C-P-Iac) y nectarívoro (N) ambas con una sola especie. Con presencia de tres especies migratorias de tipo boreal. Teniendo en cuenta que existe riqueza de aves en la zona de estudio, es pertinente continuar con exploraciones ornitológicas para acercarnos a la conservación y restauración de la zona y permitir la residencia de las aves presentes en estos ecosistemas Andino-Amazónicos.
Exploring the effects of a serious game on 11th graders’ perceptions of their reading comprehension skills: An action research study in Colombia
Authors: Martínez González Willinton , Reyes Colorado Yeisson , Aguilar-Cruz Paola Julie
Published: December 2024

This research paper presents an action-research study exploring 11th graders’ perceptions of a Serious Game (SG) designed to support English as a Foreign Language (EFL) reading comprehension skills in a state school in Florencia, Caquetá, Colombia. The study involved 33 students from Jorge Eliécer Gaitán high school and adopted a qualitative and descriptive approach for its methodological design. Data collection methods included surveys and focus group interviews, analysed through grounded theory and data triangulation. Findings revealed that students perceived the SG as beneficial for their reading comprehension process, particularly in fostering contextual vocabulary acquisition and providing clear instructional guidance. They also emphasized the positive role of the SG’s graphic design in maintaining engagement and motivation. The study highlights how the students perceived that the SG contributed to creating a motivational and interactive learning environment for reading comprehension improvement. In conclusion, students perceived that the SG enhanced their reading comprehension, engagement, and motivation, fostering active participation in learning activities.
Gestión participativa y conocimiento local de los hongos silvestres, comunidad de San Pedro Tlalcuapan, Tlaxcala- México
Authors: Rico-Carrillo Roberto Emiliano , Cardona-Castaño Juan Camilo , Rosas Acevedo Ana Yolanda , Montoya-Esquivel Adriana , Cruz-Campuzano Ezequiel Alberto
Published: December 2024

Antecedentes: los hongos silvestres son un recurso alimentario importante para muchas comunidades rurales. Objetivo: explorar el conocimiento local sobre los hongos silvestres desde la gestión participativa para la seguridad alimentaria de la comunidad de San Pedro Tlalcuapan (Tlaxcala- México). Metodología: investigación cualitativa-participativa, que incluyó un diálogo de saberes sobre los conocimientos etnomicológicos y un taller participativo. El análisis de la información se realizó mediante el contenido de los diarios de campo y la experiencia con los participantes. Resultados: los participantes mostraron un profundo conocimiento sobre la relación entre los hongos silvestres, el bosque y la alimentación. La comunidad de San Pedro Tlalcuapan reconoce el aprovechamiento, uso y conservación de los hongos como una estrategia de subsistencia. Los participantes consideraron que los hongos pueden ser una alternativa local para enfrentar los problemas de inseguridad alimentaria derivados del cambio climático. Conclusiones: existe un conocimiento local que ha permitido la conservación de los hongos y el bosque, lo que ha contribuido a la seguridad alimentaria del área de estudio. Los participantes reconocieron la importancia de darle un valor no solo económico, también cultural y territorial a los hongos silvestres.