bluuebunny/crossref_metadata_2025 huggingface dataset:
Investment Decision and Coordination of Fresh Supply Chain Blockchain Technology Considering Consumer Preference
Authors: Xing Xiaohu , Miao Renzhi
Published: November 2024

In this paper, we study the decision-making and coordination problem of a two-tier fresh food supply chain consisting of a supplier and a retailer. Considering the influencing factors of consumers’ information preference, freshness, and misrepresentation, we construct a centralized decision-making model and a decentralized decision-making Stackelberg game model. We also analyze the changes in the equilibrium solution of the supply chain before and after the input of blockchain technology, identify the conditions for the investment in blockchain technology, and design a “cost-sharing + benefit-sharing” combination contract for the coordination of the blockchain. The results are as follows: Firstly, under decentralized decision-making, if the fresh supplier misreports the freshness of the product, it will mislead the retailer to increase the order quantity, and its own profit will rise. Therefore, the fresh supplier has the motivation to misreport freshness. However, the backlog of fresh products will eventually damage the retailer’s profit, and the overall profit of the supply chain will also be damaged. Therefore, the increase in the profit of the fresh supplier is at the expense of the overall interests and stability of the supply chain. Second, when the investment cost of blockchain technology is within a certain threshold, it is feasible to invest in blockchain technology. Consumers’ preference for traceable fresh products will encourage the fresh supply chain to improve the level of information traceability and increase investment in blockchain technology. Finally, there are double marginal effects in the fresh supply chain under decentralized decision-making. The combined contract of “cost-sharing + revenue-sharing” can coordinate the overall revenue of the supply chain to the level of centralized decision-making. When the contract parameters meet certain conditions, Pareto improvement in revenue can be achieved for all parties involved in the fresh supply chain. The willingness of retailers to invest in blockchain technology will change with the change in contract parameters. When the proportion of retailers’ costs and the proportion of shared income are higher, the level of retailers’ investment in blockchain technology will decrease. Therefore, the interests of supply chain members need to be balanced in the process of contract coordination.
Exploring Post-Quantum Cryptography: Review and Directions for the Transition Process
Authors: Cherkaoui Dekkaki Kanza , Tasic Igor , Cano Maria-Dolores
Published: November 2024

As quantum computing advances, current cryptographic protocols are increasingly vulnerable to quantum attacks, particularly those based on Public Key Infrastructure (PKI) like RSA or Elliptic Curve Cryptography (ECC). This paper presents a comprehensive review of Post-Quantum Cryptography (PQC) as a solution to protect digital systems in the quantum era. We provide an in-depth analysis of various quantum-resistant cryptographic algorithms, including lattice-based, code-based, hash-based, isogeny-based, and multivariate approaches. The review highlights the National Institute of Standards and Technology (NIST) PQC standardization process, highlighting key algorithms, such as CRYSTALS–Kyber, CRYSTALS–Dilithium, Falcon, and SPHINCS+, and discusses the strengths, vulnerabilities, and implementation challenges of the leading algorithms. In addition, we explore transition strategies for organizations, emphasizing hybrid cryptography to ensure backward compatibility during migration. This study offers key insights into the future of cryptographic standards and the critical steps necessary to prepare for the transition from classical to quantum-resistant systems.
Development of a Mobile Application for Musculoskeletal Rehabilitation Based on Computer Vision and Inertial Navigation Technologies
Authors: Obukhov Artem , Volkov Andrey , Nikitnikov Yuri
Published: November 2024

Monitoring the process of musculoskeletal rehabilitation is of great importance for ensuring a person’s health after suffering from illnesses, especially during the outpatient period when medical supervision is absent. The aim of this study is to create an accessible tool (a mobile application) that allows for the monitoring of the execution of musculoskeletal rehabilitation exercises. To achieve this goal, the architecture of a mobile application has been developed, along with its functioning algorithm, and the methods for processing information from two tracking systems (inertial navigation and computer vision) have been examined to assess the quality of performed exercises. During the experimental research, procedures for processing data from mobile inertial navigation sensors were refined, a solution to the classification task of musculoskeletal rehabilitation exercises was explored (with an accuracy of 93–100%), and prototyping of the mobile application was carried out. The results obtained can be used for evaluating outpatient rehabilitation and as a basis for more complex and functional mobile systems for musculoskeletal rehabilitation.
Effect of Fenton-Based Processes on Arsenic Removal in the Presence of Humic Acid
Authors: Xiong Wenming , Huang Qixuan , Li Langlang , Li Yongjun
Published: November 2024

Geogenic arsenic (As) contamination in groundwater poses a significant public health risk in many regions worldwide. Previous studies have reported hydrogen peroxide (H2O2) concentrations ranging from 5.8 to 96 μmol L−1 in rainwater, which may contribute to the oxidation and removal of As. However, the influence of natural organic matter, such as humic acid (HA), on rainwater-borne H2O2-induced Fenton processes for the oxidation and removal of As remains unclear. In this study, the Fenton process was employed to investigate changes in As(V), As(III), and their mixtures, both in the presence and absence of HA. The results showed that low concentrations of HA (0–10 mg/L) promoted the oxidation of As(III) and removal of As(V) when As(V) and As(III) were present individually. However, when As(V) and As(III) coexisted, HA inhibited the Fenton process for As(V) removal. This inhibition was likely due to As(III) competing strongly with HA for hydroxyl radicals in the Fenton reaction system. Additionally, the presence of HA hindered the Fe(III)-driven removal of As(V), a product of the Fenton reaction. These findings further enhance our understanding of the potential role of rainwater-borne H2O2 in the transformation of As species in open water environments.
Determination of 16 Hydroxyanthracene Derivatives in Food Supplements Using LC-MS/MS: Method Development and Application
Authors: Malysheva Svetlana V. , Guillaume Benoît , Vanhee Céline , Masquelier Julien
Published: November 2024

Hydroxyanthracene derivatives (HADs) are plant substances produced by a variety of plant species, including different Aloe, Rheum, and Rhamnus species and Cassia senna. These plants are often used in food supplements to improve bowel function. However, recently, the European Commission prohibited a number of HADs due to toxicological concerns. These HADs included aloin (aloin A and aloin B), aloe-emodin, emodin, and danthron. Most of the currently available analytical methods are restricted to the analysis of only these compounds and do not include other HADs. In this view, a multi-analyte method could be useful for both regulatory analysis and dietary intake studies. To this end, such a method, employing liquid chromatography–tandem mass spectrometry and targeting 16 different HADs, was developed and validated in this study. Limits of quantification were in the range from 0.025 mg kg−1 to 1 mg kg−1. The recovery of the method was within the acceptable range of 80% to 120%, with the exception of physcion. Repeatability varied from 0.5% to 11.6%, and the range for within-laboratory reproducibility was from 3.4% to 16.3%. The expanded measurement uncertainty was below 50% for all HADs. Subsequently, 24 commercial samples of food supplements and herbal infusions sourced in Belgium were analyzed. The results indicated that although the industry put a great effort into minimizing the amount of aloin and danthron present in food supplements, more than half of the products still exceeded the maximum tolerated levels suggested for aloe-emodin and emodin.
Stable Convergent Polyneuronal Innervation and Altered Synapse Elimination in Orbicularis oculi Muscles from Patients with Blepharospasm Responding Poorly to Recurrent Botulinum Type-A Neurotoxin Injections
Authors: Girard Brigitte , Couesnon Aurélie , Girard Emmanuelle , Molgó Jordi
Published: November 2024

Botulinum neurotoxin type-A (BoNT/A), which blocks quantal acetylcholine (ACh) release at the neuromuscular junction (NMJ), has demonstrated its efficacy in the symptomatic treatment of blepharospasm. In 3.89% of patients treated for blepharospasm at Tenon Hospital, BoNT/A was no longer effective in relieving the patient’s symptoms, and a partial upper myectomy of the Orbicularis oculi muscle was performed. We used surgical waste samples from 14 patients treated with repeated injections of either abobotulinumtoxinA (Dysport®) or incobotulinumtoxinA (Xeomin®). These muscle fragments were compared to others from 4 normal subjects, naïve of BoNT/A. The morphological study was performed blinded to the BoNT/A treatment and between treated and control samples. Neuromuscular specimens analyzed by confocal laser scanning microscopy, using fluorescent staining and immune-labeling of presynaptic proteins, revealed that the pattern of innervation (e.g., polyneuronal and convergent innervation), the muscle nicotinic ACh receptors (nAChRs), and the NMJs exhibited marked differences in BoNT/A-treated muscles (regardless of the toxin clinically used), with respect to controls. BoNT/A-treated junctions exhibited profuse polyneuronal innervation in which 2–6 axons innervated 74.84% of single muscle fibers, while 99.47% of control junctions were mono-innervated. Another new finding was the stable convergent innervation, in which several motor axons end onto the same endplate. Morphological signs of synapse elimination included the presence of retraction bulbs in axons and nerve terminals and a reduced extension of postsynaptic nAChRs. These outcomes suggest that synapse elimination is altered and raise questions on the origin and factors contributing to the plasticity changes observed and the functioning of NMJs.
An Investigation of the Spatial Arrangement of Mycotoxin Build-Up in Corn Stored Under Different Environmental Conditions
Authors: Kerry Ruth , Ingram Ben , Abbas Hamed K. , Ahlborn Gene
Published: November 2024

Mycotoxins are toxins produced by fungi that contaminate many key food crops as they grow in the field and during storage. Specific mycotoxins are produced by different fungi. Each type of fungus and mycotoxin have their own optimal temperatures and water activities for growth and production. The legislative limits for various mycotoxins in foodstuffs to protect human health vary between countries but all commodities have their levels evaluated based on the concentrations from one aggregated grain sample. This approach assumes that the variation in toxin levels is uniform and random without spatial trends. This study investigates the spatial distribution of four mycotoxins (aflatoxin, deoxynivalenol, fumonisin and zearalenone) in bins of clean and dirty corn when stored in an environmental cabinet for two months under different temperature and humidity conditions. The bins of clean and dirty corn each had 12 CO2/humidity/temperature sensors installed in three layers, and samples were extracted for mycotoxin analysis from locations close to each sensor following storage. Using Mann–Whitney U and Kruskal–Wallis H statistical tests, significant differences were found between mycotoxin levels attributable to the different environmental conditions and spatial locations of samples. Variations in aflatoxin and zearalenone concentrations were most pronounced for the range of temperature and humidity conditions chosen. By understanding the patterns of spatial variability in mycotoxin concentrations and identifying zones at high risk of contamination, as well as what conditions are favorable, targeted interventions could be implemented to reduce food waste. This work also has implications for how levels of mycotoxins in foodstuffs are sampled and measured.
Diversifying Kidney Transplant Education: Assessing the Artificial Intelligence-Powered Capability of ChatGPT
Authors: Rawashdeh Badi , Kim Joohyun , Dunn Ty , Al-Abdallat Haneen , Qasem Ahmad , Bhatt Rootvij , Prasad Raj , Cooper Matthew
Published: November 2024

Background: Artificial intelligence (AI) has rapidly advanced, significantly impacting medicine. ChatGPT, a new AI model, generates responses based on user input. This study evaluates ChatGPT’s ability to assist with pre- and post-kidney transplantation (KT) patient education. Methods: ChatGPT was queried about KT on 21 February 2023 and 2 March 2023. Questions were categorized into general information for pre-KT patients or donors and post-KT patient instructions. Two experts independently assessed the accuracy of ChatGPT’s responses, and the Flesch–Kincaid readability test was applied to evaluate readability. Results: ChatGPT’s responses to general pre-KT questions were clear, concise, and accurate but occasionally misleading. Post-transplant instructions were generally clear and partially concise but lacked supporting evidence. Instructions for emergency situations post-KT were typically safe and reliable, whereas medication-related directions were often inaccurate and unreliable. The mean Flesch–Kincaid readability score was 30, indicating that ChatGPT’s answers were not easy to understand. Conclusion: This study demonstrates that while ChatGPT can provide clear definitions, explain symptoms, and offer reasonable advice on managing medical situations after KT, it frequently gives misleading answers to scientific inquiries. Transplantation researchers and providers should recognize ChatGPT as a potential information source for patients but exercise caution due to its incomplete accuracy and lack of references.
Identification of Anti-Tuberculosis Drugs Targeting DNA Gyrase A and Serine/Threonine Protein Kinase PknB: A Machine Learning-Assisted Drug-Repurposing Approach
Authors: Lee Dongwoo , Islam Md Ataul , Natarajan Sathishkumar , Dudekula Dawood Babu , Chung Hoyong , Park Junhyung , Oh Bermseok
Published: November 2024

Tuberculosis (TB) is a global health challenge associated with considerable levels of illness and mortality worldwide. The development of innovative therapeutic strategies is crucial to combat the rise of drug-resistant TB strains. DNA Gyrase A (GyrA) and serine/threonine protein kinase (PknB) are promising targets for new TB medications. This study employed techniques such as similarity searches, molecular docking analyses, machine learning (ML)-driven absolute binding-free energy calculations, and molecular dynamics (MD) simulations to find potential drug candidates. By combining ligand- and structure-based methods with ML principles and MD simulations, a novel strategy was proposed for identifying small molecules. Drugs with structural similarities to existing TB therapies were assessed for their binding affinity to GyrA and PknB through various docking approaches and ML-based predictions. A detailed analysis identified six promising compounds for each target, such as DB00199, DB01220, DB06827, DB11753, DB14631, and DB14703 for GyrA; and DB00547, DB00615, DB06827, DB14644, DB11753, and DB14703 for PknB. Notably, DB11753 and DB14703 show significant potential for both targets. Furthermore, MD simulations’ statistical metrics confirm the drug–target complexes’ stability, with MM-GBSA analyses underscoring their strong binding affinity, indicating their promise for TB treatment even though they were not initially designed for this disease.
Rapid and Visual Screening of Virus Infection in Sugar Beets Through Polerovirus-Induced Gene Silencing
Authors: Bunwaree Heemee Devi , Klein Elodie , Saubeau Guillaume , Desprez Bruno , Ziegler-Graff Véronique , Gilmer David
Published: November 2024

Since the ban of neonicotinoid insecticides in the European Union, sugar beet production is threatened by outbreaks of virus yellows (VY) disease, caused by several aphid-transmitted viruses, including the polerovirus beet mild yellowing virus (BMYV). As the symptoms induced may vary depending on multiple infections and other stresses, there is an urgent need for fast screening tests to evaluate resistance/tolerance traits in sugar beet accessions. To address this issue, we exploited the virus-induced gene silencing (VIGS) system, by introducing a fragment of a Beta vulgaris gene involved in chlorophyll synthesis in the BMYV genome. This recombinant virus was able to generate early clear vein chlorosis symptoms in infected sugar beets, allowing easy and rapid visual discernment of infected plants across five sugar beet lines. The recombinant virus displayed similar infectivity as the wild-type, and the insert remained stable within the viral progeny. We demonstrated that the percentage of VIGS-symptomatic plants was representative of the infection rate of each evaluated line, and depending on the susceptibility of the line to BMYV infection, VIGS symptoms may last over months. Our work provides a polerovirus-based VIGS system adapted to sugar beet crop allowing visual and rapid large-scale screens for resistance or functional genomic studies.
CD46 Is a Protein Receptor for Human Adenovirus Type 64
Authors: Wu Eugene Y. , Robertson Alexander M. , Zhu Hanglin (Henry) , Stasiak Corina , Murray-Nerger Laura A. , Romanoff Emily , Woon Jesse , Bromme Beth A. , Smith Jason G.
Published: November 2024

Certain species D human adenoviruses (HAdV-D19, -D37, and -D64) are causative agents of epidemic keratoconjunctivitis. HAdV-D37 has previously been shown to bind CD46 (membrane cofactor protein) and sialic acid as adhesion receptors. HAdV-D64 is genetically highly similar to HAdV-D37, with an identical fiber protein sequence, but differs substantially in its penton base and hexon proteins, two other major capsid components, due to genetic recombination. Here, we demonstrate that, like HAdV-D37, HAdV-D64 virions bind directly to CD46 and that CD46 and sialic acid also function as receptors for HAdV-D64 on multiple cell types. Expression of CD46 on CD46-negative cells conferred susceptibility to HAdV-D64 entry. Specifically blocking HAdV-D64 binding to CD46 on the host cell surface strongly inhibits viral entry and gene delivery into multiple cell lines that represent target tissues. We show that CD46 is expressed on human conjunctival epithelial cells and directly binds to the HAdV-D64 virion. Our results suggest that HAdV-D64 may be used to deliver genes to target conjunctival cells and that interrupting HAdV-D64 entry through its interaction with CD46 may prevent or lessen adenovirus-associated ocular disease.
Towards Accurate Flood Predictions: A Deep Learning Approach Using Wupper River Data
Authors: Hahn Yannik , Kienitz Philip , Wönkhaus Mark , Meyes Richard , Meisen Tobias
Published: November 2024

The increasing frequency and severity of floods due to climate change underscores the need for precise flood forecasting systems. This study focuses on the region surrounding Wuppertal in Germany, known for its high precipitation levels, as a case study to evaluate the effectiveness of flood prediction through deep learning models. Our primary objectives are twofold: (1) to establish a robust dataset from the Wupper river basin, containing over 19 years of time series data from three sensor types such as water level, discharge, and precipitation at multiple locations, and (2) to assess the predictive performance of nine advanced machine learning algorithms, including Pyraformer, TimesNet, and SegRNN, in providing reliable flood warnings 6 to 48 h in advance, based on 48 h of input data. Our models, trained and validated using k-fold cross-validation, achieved high quantitative performance metrics, with an accuracy reaching up to 99.7% and F1-scores up to 91%. Additionally, we analyzed model performance relative to the number of sensors by systematically reducing the sensor count, which led to a noticeable decline in both accuracy and F1-score. These findings highlight critical trade-offs between sensor coverage and predictive reliability. By publishing this comprehensive dataset alongside performance benchmarks, we aim to drive further innovation in flood risk management and resilience strategies, addressing urgent needs in climate adaptation.
Analysis of the Effects of Differently Shaped Embankments on the Density Current
Authors: Koue Jinichi
Published: November 2024

Density currents, fluid flows driven by differences in density, play a crucial role in disaster prevention for water pollution and tsunami mitigation, particularly due to thermal releases from power plants. Understanding their dynamics is pivotal for effective mitigation strategies. While the influence of seabed and lake bottom topography on density currents is well-studied, research on how embankment shapes affect these currents has been limited. This study aimed to fill this gap by experimentally and numerically analyzing the flow dynamics of density currents using various embankment shapes in a controlled water tank environment. The findings revealed distinct variations in density perturbation across different embankment shapes. Specifically, density currents exhibited reduced head velocities in embankments shaped as right-angled triangles, rectangles, and L-shapes, in that sequential order. This research underscores the significance of embankment design in modifying density currents, offering valuable insights for optimizing disaster management strategies related to water pollution and tsunami hazards induced by thermal effluents from industrial sources.
Blackout and Crisis Water Supply: Diversification of Water Intakes
Authors: Boryczko Krzysztof , Wazna Natalia , Kawalerski Maciej
Published: November 2024

Ensuring a reliable water supply during crisis situations is an essential global challenge as disruptions can severely affect public health and safety. Despite advances in crisis management, significant gaps persist in the preparedness of many cities to maintain water access during emergencies such as blackouts. The aim of this work was to develop a concept of crisis water supply for the city of Lubaczow. The theoretical part presents legal aspects related to crisis management, a description of the blackout, the characteristics of the city and issues related to the water supply system in Lubaczow. Based on the data obtained, water balance calculations were performed based on a crisis situation and several variants of solutions for a crisis water supply were proposed. Based on the results of a survey conducted among city residents, the level of residents’ awareness of the blackout was determined. The graphic part includes the location of water intake points.
Energy Dissipation Assessment in Flow Downstream of Rectangular Sharp-Crested Weirs
Authors: Sohrabzadeh Anzani Hossein , Kantoush Sameh Ahmed , Mahdian Khalili Ali , Hamidi Mehdi
Published: November 2024

Sharp-crested weirs are commonly used in hydraulic engineering for flow measurement and control. Despite extensive research on sharp-crested weirs, particularly regarding their discharge coefficients, more information is needed via research on their energy dissipation downstream. This study conducted experimental tests to assess the influence of contraction ratio (b/B) of rectangular sharp-crested weirs (RSCWs) on energy dissipation downstream under free flow conditions. Five RSCWs with different b/B equals 6/24, 7/24, 8/24, 9/24, and 10/24 were used. The results showed a consistent decrease in relative energy dissipation (ΔEr) with an increase in the head over the weir. Furthermore, as the discharge per unit width (q) increased, the relative energy dissipation (ΔEr) decreased, indicating more efficient discharge over the weir. A higher b/B further reduces ΔEr, suggesting that wider weirs are more effective in minimizing energy losses. The maximum relative residual energy (E1/E0) and relative energy dissipation (ΔEr) occurred at b/B = 10/24 and 6/24, with values of 0.825 and 0.613, respectively. Additionally, the maximum discharge coefficient (Cd) of RSCWs is found at b/B = 6/24, with an average value of 0.623. The results support the accuracy of the proposed equation with R2 = 0.988, RMSE = 0.0083, and MAPE = 1.43%.
Utilizing a Transparent Model of a Semi-Direct Acting Water Solenoid Valve to Visualize Diaphragm Displacement and Apply Resulting Data for CFD Analysis
Authors: Brazhenko Volodymyr , Cai Jian-Cheng , Fang Yuping
Published: November 2024

This article introduces a comprehensive methodology that combines physical prototyping and computational modeling to analyze the hydrodynamics and design of a semi-direct acting solenoid valve for water applications. A transparent, injection-molded valve model was used to experimentally measure diaphragm displacement, which exhibited linear behavior at flow rates up to 10.1 L/min. Beyond this threshold, the diaphragm reached maximum displacement, constraining flow control accuracy. These experimental results informed the creation of a computational domain for detailed CFD analysis, demonstrating strong validation against experimental pressure drop data. The CFD simulations identified critical inefficiencies, such as uneven pressure distribution on the diaphragm due to inlet flow, flow imbalances, and vortex formation within the chamber and outlet channel. These issues were traced to specific design limitations. To address these design flaws, this study suggests optimizing the inlet geometry, implementing a symmetric chamber design, and modifying the outlet channel with smoother transitions to enhance flow control and improve operational efficiency.
Multi-Factor Prediction of Water Inflow from the Working Face Based on an Improved SSA-RG-MHA Model
Authors: Ding Yingying , Yin Shangxian , Dai Zhenxue , Lian Huiqing , Bu Changsen
Published: November 2024

The accurate prediction of mine water inflow is very important for mine design and safe production. The existing forecasting methods based on single factors are often less accurate and stable. Multi-factor data-driven models play a key role in predicting water inflow without taking physical changes into account. Therefore, a multi-factor prediction method based on an improved SSA-RG-MHA model is introduced in this study. The model uses two sets of data related to water inflow as the input to improve prediction accuracy and stability. The model first applies a residual network (ResNet) to mitigate the problems of disappearing gradients and explosions. Gated Recurrent Units (GRUs) are then used to learn the characteristics of long-term sequence data. The model combines ResNet and GRU into a new network architecture and incorporates a multiple attention (MHA) mechanism to focus on information at different time scales. Finally, the optimized sparrow search algorithm (SSA) is used to optimize the network parameters to improve the global search ability and avoid local optimization. The mine water inflow is affected by many factors, among which the water level and microseismic energy data are particularly important. Therefore, these data types are selected as the key variables of mine water inflow prediction. The experimental results show that the improved SSA-RG-MHA model significantly reduces the prediction error: the mean absolute error (MAE), root mean square error (RMSE), and mean absolute percentage error (MAPE) were reduced to 4.42 m3/h, 7.17 m3/h, and 5%, respectively. The multi-factor water inflow prediction method is more stable and reliable than single-factor models as it comprehensively considers the factors affecting the water inflow of the working face. Compared with other multi-factor models, this model exhibits higher prediction accuracy and robustness, providing a basis for mine water hazard monitoring and early warning.
Multi-Area Sampling-Based Spatiotemporal Trajectory Planning for Autonomous Driving in Dynamic On-Road Scenarios
Authors: Ma Shuhuan , Ning Zhiqiang , Wei Lixin , Chai Pengpeng
Published: November 2024

This paper focuses on the spatiotemporal trajectory planning problem faced by autonomous driving with a dynamic on-road situation. To solve the swing problem which is caused by the motions of obstacles, a multi-area sampling method is proposed. The main idea is sampling endpoints in a series of defined areas at a fixed time interval, which will generate suitable trajectories with speed information to deal with complex maneuver tasks. Considering the driving safety and comfort, the cost function is designed deliberately for the generated trajectories in each area to evaluate the behaviors of the automobile. Then, the best trajectory in the whole course is found by the dynamic programming-based approach, which is presented to optimize the problem-solving process and at the same time reduce the computational burden which is brought about by the multi-area sampling method. Finally, the effectiveness of the proposed trajectory planning method is demonstrated in different overtaking scenarios of structured roads.
Complex application of high-intensity phototechnologies in the treatment of diffuse alopecia
Authors: Gusakova E.V. , Portnov V.V. , Elfimov M.A. , Ereshko A.R.
Published: November 2024

The purpose of the study. The issues of treatment of patients with diffuse alopecia are being actively investigated at the present time. Promising in this regard are laser technologies, including in combination with drugs, which determined the relevance of this study. The aim of the study was to scientifically substantiate and develop a combined method including fractional laser therapy, intravenous blood irradiation and minoxidil for the treatment of patients with diffuse telogenetic alopecia.
Materials and methods. To study the effectiveness of laser technologies, 4 treatment regimens were analyzed. A total of 177 patients with an established diagnosis of diffuse telogenetic alopecia were under observation. To study the effectiveness and safety of the developed combined method, as well as its components, a visual hair loss scale (VSHVV) was used in the study. Results. The best result in patients with mild severity was obtained in the combination therapy group, where the dynamics was 36.9 %. While in the group using erbium and neodymium lasers, the dynamics was 25 %, in the group where percutaneous laser irradiation of blood was used –21.1 %, in the control group — 19.3 %. The best result in patients with severe severity was obtained in the combination therapy group, where the dynamics was 70.8 %. While in the group using erbium and neodymium lasers, the dynamics was 60.8 %, in the group using percutaneous laser irradiation of blood –57.7 %, in the control group 55.7 %.
Conclusion. Thus, the developed method of combined therapy of patients with mild and severe diffuse alopecia is highly effective and can be recommended for use in a wide clinical practice.
Using high-intensity phototechnology as a method of treating mild to severe diffuse alopecia
Authors:   Federal State Budgetary Institution of Continuing Professional Education «Central State Medical Academy» of the Administrative Department of the President of the Russian Federation, Ereshko A.R. , Gusakova E.V. ,   Federal State Budgetary Institution of Continuing Professional Education «Central State Medical Academy» of the Administrative Department of the President of the Russian Federation, Portnov V.V. ,   Federal State Budgetary Institution of Continuing Professional Education «Central State Medical Academy» of the Administrative Department of the President of the Russian Federation, Elfimov M.A. ,   Federal State Budgetary Institution of Continuing Professional Education «Central State Medical Academy» of the Administrative Department of the President of the Russian Federation
Published: November 2024

Purpose of the study. Publications on the use of laser technologies are isolated and additional studies on representative samples and with an assessment of the stability of the effects of laser therapy are needed to confirm their effectiveness. The aim of the study was the scientific substantiation and development of a combined method including fractional laser therapy, intravenous blood irradiation and minoxidil
for the treatment of patients with diffuse telogen effluvium. Material and methods: To study the effectiveness of laser technologies, 4 treatment regimens were analyzed. A total of 177 patients with an
established diagnosis of diffuse telogen effluvium were observed. The work used the DIQOL index (dermatological index of quality of life), which
is a universal tool for assessing quality of life indicators in various skin diseases.
Results: The data obtained show that the relief of clinical symptoms in diffuse alopecia improves the psycho-emotional state and increases the quality of life of patients, which is confirmed by the improvement in the dynamics of the DIQOL index in all study groups: in the group using
erbium and neodymium lasers, the dynamics were 27.2 % / 41.2 %, in the group where transcutaneous laser irradiation of blood was used — 20 % / 29.4 %, in the control group 9.1 % / 23.5 %. The best result was obtained in the combination therapy group, where the dynamics were 45.4 % and 52.9 %, with a mild and severe degree, respectively.
The possibilities of correction of postural function in older age groups: a literature review
Authors:   Private educational institution of higher education «St. Petersburg Medical and Social Institute», St. Petersburg, Russia, Maltsev S.B. , Medvedev D.S. ,   Private educational institution of higher education «St. Petersburg Medical and Social Institute», Autonomous scientific non-profit organization of higher education Scientific Research Center «St. Petersburg Institute of Bioregulation and Gerontology», St. Petersburg, Russia, Polyakova V.O. ,   Federal State budgetary scientific institution. "Institute of Experimental Medicine", Russia, St. Petersburg, Shumko V.V. ,   St. Petersburg State University, St. Petersburg, Russia, Gorelova A.A. ,   St. Petersburg State University, St. Petersburg, Russia, Mushkin M.A. ,   Federal State Budgetary Educational Institution of Higher Education «The First St. Petersburg State Medical University named after Academician I. P. Pavlov» of the Ministry of Health of the Russian Federation, St. Petersburg, Russia
Published: November 2024

Purpose of study. Disorders of postural function are an important problem in the field of geriatric health. According to statistics from the city of St. Petersburg every third elderly person has experienced a fall. To analyze the existing methods of correction of postural function
in older age groups and evaluate their effectiveness.
Material and methods. The literature review was conducted using the databases eLibrary, PubMed, Google Scholar over the past 10 years, only
full-text articles were included in the review. Keywords and their combinations in Russian and English used for conducting the search: «postural function » (postural function), «correction» (correction), «the elderly» (the elderly). The criteria for including articles in the review were: full-text articles;
year of publication from 2014 to 2024; works including meta-analyses, systematic and analytical literature reviews, clinical guidelines. In addition, the review included the domestic work of 2011. since it contains conceptual information. Exclusion criteria: matching of works in different databases.
Resalts. 28 full-text articles were selected, the analysis of which shows a tendency towards the active introduction and use of high-tech equipment
with biofeedback technology and virtual reality in the rehabilitation of elderly patients with impaired postural function.
Conclusion. As a result of the review, the main methods of correcting postural function in older age groups are highlighted.
Medical rehabilitation of children with disorders of pelvic floor muscles
Authors:   S.I. Spasokukotsky Moscow Centre for Research and Practice in Medical Rehabilitation, Restorative and Sports Medicine of Moscow Healthcare Department, Moscow, Russia, Lyan N.A. , Khan M.A. ,   S.I. Spasokukotsky Moscow Centre for Research and Practice in Medical Rehabilitation, Restorative and Sports Medicine of Moscow Healthcare Department, Moscow, Russia, Menovschikova L.B. ,   State Budgetary Public Health Institution «N. F. Filatov Children City Hospital of Moscow Healthcare Ministry», Moscow, Russia, Lvova A.V. ,   S.I. Spasokukotsky Moscow Centre for Research and Practice in Medical Rehabilitation, Restorative and Sports Medicine of Moscow Healthcare Department, Moscow, Russia
Published: November 2024

The pelvic floor is a muscular-connective tissue structure that forms the bottom of the abdominal cavity and maintains the correct anatomical relationship of the pelvic organs (bladder, urethra, rectum, uterus). Vascular and nerve plexuses that feed the organs pass through the muscular-tissue structures of the pelvic floor. All this creates the condition for retaining the contents of the hollow organs with increased
intra-abdominal pressure and the correct implementation of urination and defecation. However, in a number of diseases, dysfunctional urination, neurogenic dysfunction of the bladder, enuresis, chronic constipation, encopresis, there are disorders of the pelvic floor function, which determines the need for medical rehabilitation to restore detrusor-sphincter and rectal-sphincter dysfunctio
Ciclicidad de la política fiscal en Ecuador: Un estudio comparativo, 2000-2020
Authors: Díaz Rivas Zully Jessenia , Ramírez-Galeano Adriano , Morocho Ramírez Adrián Joel , León Serrano Lady Andrea
Published: November 2024

Este estudio examina la ciclicidad de la política fiscal en Ecuador entre los años 2000 y 2020, con el objetivo de identificar los patrones cíclicos en las políticas fiscales aplicadas durante este período. Se adoptó un enfoque cuantitativo y el método deductivo, apoyados en una revisión bibliográfica exhaustiva que permitió analizar la evolución de las políticas fiscales en relación con los ciclos económicos del país. Los resultados muestran una tendencia cíclica en las políticas fiscales, evidenciando periodos de expansión en épocas de bonanza económica y contracción durante fases de recesión. Además, se identificó que las decisiones f iscales en Ecuador han seguido, en su mayoría, un comportamiento procíclico, lo que ha generado impactos significativos en la estabilidad macroeconómica, el crecimiento y el desarrollo del país. Las conclusiones resaltan la importancia de comprender esta ciclicidad para mejorar la gestión f iscal y evitar decisiones que agraven los ciclos económicos futuros.
Perfil de salud bucal e indicadores de riesgo en niños de poblaciones urbana y rural
Authors: Pineda-Palomino Karen Paola , Valdez-Velazco Gian Carlo
Published: November 2024

La diferencia entre las condiciones y características propias de poblaciones urbana y rural podrían tener repercusiones sobre la salud de los niños. Objetivo: Establecer la diferencia entre el perfil de salud bucal e indicadores de riesgo en niños de 3 a 5 años de zona urbana y rural. Materiales y métodos: La investigación fue cuantitativa, diseño no experimental, descriptivo y transversal, la muestra estuvo conformada por 86 niños de instituciones de educación pública urbanas y rurales. Para determinar el perfil de salud bucal se utilizaron el índice de cariados, perdidos y obturados, los criterios de maloclusión de la Organización Mundial de la Salud y el índice de Löe y Silness (salud gingival). Los indicadores de riesgo considerados fueron la higiene oral, frecuencia de cepillado, acceso a servicios de salud, tenencia de seguro y grado de instrucción del jefe de familia. La comprobación de hipótesis se realizó mediante la prueba estadística U de Mann Whitney. Resultados: 100% de niños de ambas poblaciones presentaron caries y más del 50% gingivitis leve y algún tipo de maloclusión. Los indicadores de higiene fueron diferentes para ambas zonas y en su mayoría fue malo, más del 90% de niños de ambas zonas no acuden a servicios de salud, pero si cuentan con algún tipo de seguro. Conclusiones: No existe diferencia estadísticamente significativa entre el perfil de salud bucal en niños de zonas urbana y rural, contrariamente si se evidenció diferencia significativa entre los indicadores de riesgo analizados
Incidencia de cáncer en una Unidad Oncológica del Perú
Authors: Becerra Goicochea Lorena , Celis Silva Rubén , Tapia Uriol Paola , Huaccha Tocas Jorge , Medina Tafur Ana
Published: November 2024

El cáncer es una de las principales causas de muerte a nivel mundial. Objetivo: Caracterizar la incidencia de los diferentes tipos de cáncer diagnosticados en la Unidad Oncológica del Hospital Regional Docente de Cajamarca, en Perú. Materiales y Métodos: Estudio cuantitativo, descriptivo retrospectivo, de tipo no experimental y transversal. Se recolectó la información mediante la técnica de revisión de registros clínicos de cáncer del 2018 al 2021. La muestra estuvo conformada por 1429 casos confirmados de cáncer. Resultados: Los tipos de cáncer más comunes fueron el cáncer de cérvix (201 casos) y el cáncer gástrico (195 casos). El más frecuente en los hombres fue el gástrico (22,61 %) y el de próstata (10,79 %), en las féminas el de cérvix (21,11 %), y el de mama (10,23 %). Al comparar los grupos etarios, el de 80 a 97 años presentó más casos de cáncer (214) y luego el de 60 a 64 años (143). En el periodo analizado, hubo más casos de cáncer en mujeres (65,64%), en comparación con los hombres (34,36 %), y en los años 2019 y 2021. La provincia de Cajamarca presentó la mayor cantidad de casos (745), lo que representó el 52,13 % del total. Conclusiones: Las cifras sugieren el abordaje del cáncer mediante programas de detección temprana, campañas de concienciación y estrategias de prevención; así como su tratamiento precoz para reducir la mortalidad y mejorar la calidad de vida de los pacientes, además de un enfoque específico para las mujeres en la promoción de exámenes regulares.
Factores actitudinales hacia el COVID-19 como predictor de autoeficacia académica y desesperanza aprendida en universitarios
Authors: Cubas Romero Taniht Lisseth , Vega Cotrina Wilson , Mendoza Chavez Guissela Vanessa
Published: November 2024

El estudio buscó como objetivo determinar la incidencia de los factores actitudinales hacia la pandemia de COVID-19 tomados como predictores en la autoeficacia académica y la desesperanza aprendida en universitarios de Psicología de una universidad privada en Lima. Se empleó un análisis de regresión lineal. Los resultados indicaron una relación significativa entre estos factores y las variables. Al analizar los factores actitudinales en relación con la autoeficacia académica, se encontró un p-value de 0,040, lo que sugiere que los factores actitudinales impactan de forma significativa en la autoeficacia académica. Asimismo, se registró un p-value de 0,024 en relación con la desesperanza aprendida, indicando también una significativa incidencia de los factores actitudinales en esta variable. El modelo propuesto sugiere que tanto la autoeficacia académica como los factores actitudinales son predictores de la desesperanza aprendida, evidenciado por un buen ajuste del modelo (NFI=0.983; X2/gl=2.60; RMSEA=0.083; CFI=0.998). En base a ello, se concluye que, la desesperanza aprendida se explica a través de la interacción entre la autoeficacia académica y los factores actitudinales.
Efecto de un programa de neurorrehabilitación pediátrica en las actividades motoras gruesas de bebés prematuros
Authors: De La Cruz Quispe Celina Juana , Puma Chombo Jorge Eloy
Published: November 2024

La prematuridad trae complicaciones neuromotoras por la inmadurez del sistema nervioso; aunque es importante la intervención temprana, la evidencia científica es limitada sobre la efectividad de programas de neurorrehabilitación pediátrica. Objetivo: Determinar el efecto de un programa de neurorrehabilitación pediátrica en las actividades motoras gruesas de bebés prematuros. Materiales y métodos: Estudio pre-experimental realizado en 33 bebés prematuros de 4 a 12 meses de edad corregida atendidos en el Hospital Carlos Alberto Seguin Escobedo (HNCASE) entre marzo a mayo de 2024. El programa contó con 12 sesiones de terapia kinética de control, aprendizaje y desarrollo motor, cuyo efecto se midió con la aplicación de la Escala Motora del Infante de Alberta pre y post implementación del programa. Resultados: La mayoría de los bebes tenía edades de 4 a 6 meses (54.5%), masculinos (51.5%), prematuridad entre 30 a 37 semanas gestacionales (57.6%). Al inicio, la evaluación motora gruesa evidenció que la mayoría presentó riesgo de retraso de desarrollo motor (39.4%) y desarrollo motor grueso inadecuado (36.4%). Tras la aplicación del programa, la mayoría pasó a tener un adecuado desarrollo motor grueso (51.5%); además, dicha variación fue significativa (p=0.001). Conclusiones: El programa tiene efecto positivo al mejorar el rendimiento motor grueso en actividades de posición prono, supino, sedente y bípedo de bebes prematuros
La salud familiar en el antes, durante y postpandemia COVID-19
Authors: León-Montoya Gladys Bernardita , Acosta-Román Mercedes
Published: November 2024

Las familias en el mundo, vienen sufriendo un proceso de metamorfosis, desde su origen - que coincide con el origen de la humanidad - hasta la actualidad; este proceso a veces ha sido más rápido y otras más lento; estudios de investigación indican que; antes de la pandemia los miembros de las familias ya se encontraban en supervivencia por todos los cambios que se dieron en el mundo; en época de la pandemia COVID-19 las familias entre otras cosas, sufrieron un cambio positivo debido a que sus miembros se unieron más, mejoró la comunicación y buscaron estrategias para seguir con vida; hoy en postpandemia se encuentran buscando mecanismos de adaptación y resiliencia; por ello se plantea como propuesta la formación del Club de Familias Saludables (CFS), que tiene como propósito empoderarlas y capacitarlas para que entre ellas se apoyen y se constituyan en una fortaleza para mejorar los indicadores de salud de un país, en este caso de Perú.
La participación de la familia en el cuidado del paciente crítico: Revisión sistemática
Authors: Guerrero Tamariz Kattia Enith
Published: November 2024

La participación de la familia en el cuidado del paciente crítico es un aspecto fundamental que ha ganado atención en el ámbito de la salud. El objetivo analizar la participación de la familia en el cuidado del paciente crítico desde la revisión sistemática. Se orientó en el enfoque cualitativo, el paradigma interpretativo y el método fue descriptivo-hermenéutico, documental y bibliográfico. Utilizando todo material escrito relacionado con el tema de investigación. La muestra son los documentos alusivos al tema material particulado y humedad de suelo tanto nacional como internacional. El diseño fue documental, es un método eficiente y de bajo costo, pero requiere un proceso riguroso de selección, análisis y síntesis de la información. Se realizó la búsqueda en base de datos como SCOPUS, Web of Science (WOS) y Scielo, entre otras. Se tuvo como resultado que, de un total de 767 artículos encontrados, 747 fueron depurados para eliminar duplicados o irrelevantes, resultando en 20 artículos incluidos. Scopus contribuyó con 19 artículos incluidos de 229 encontrados, mientras que Web of Science (WOS) aportó solo 1 artículo incluido de 497 encontrados, y Scielo no proporcionó artículos incluidos. Se concluye que, la participación de la familia en el cuidado del paciente crítico es fundamental, ya que contribuye significativamente a la recuperación y bienestar del paciente. Diversos estudios resaltan la efectividad de estrategias como la comunicación activa entre enfermeras y familiares y la implementación de programas estructurados que promueven la participación familiar en el cuidado diario.