bluuebunny/crossref_metadata_2025 huggingface dataset:
About the problem of chaos boundary and typical structures at the parameter plane of non-autonomic discrete maps with period doubling
Authors:   Saratov Branch of Kotel`nikov Institute of Radiophysics and Electronics of Russian Academy of Sciences, Kuznetsov Aleksandr , Savin Aleksej ,   Saratov State University
Published: May 2024

The series of Lyapunov graphs for non—autonomic systems with period doubling under non—periodical influence is shown. With its help the structure of chaos boundary 15 discussed, the new type of branching structures, which are typical for self—similar signals, and the phenomenon of criticality crisis are found. Scaling at Lyapunov graph for map under noise influence are demonstrated.
Magnetogcontrolled generation with period-adding sequence and chaos in the circuit with magnetotransistor
Authors:   Saratov State University, Usanov Dmitrij , Venig Sergej ,   Saratov State University, Skvortsov Sergey ,   Saratov State University
Published: May 2024

Experimental investigation results of relaxation oscillator operation are presented, in which bipolar magnetotransistor is used аs one of transistors. Possibility of magnetocontrolled period—adding sequence initiation in such oscillator is shown, and the discrete variation of an oscillation period takes place with constant step for discrete values of magnetic field induction with an equal interval of its change. Mode of the oscillator operation is found, at which the transition from periodic oscillation through period—adding sequence to chaotic oscillation is characterized by high sluggishness.
Bistable system with external dynamical influence
Authors:   Lobachevsky State University of Nizhny Novgorod, Sergeev Oleg
Published: May 2024

In this paper we have studied the influence of additive periodical and dynamical chaos perturbation on the location of the bifurcation boundary which separates mono— and bistable regimes in bistable one—dimensional dynamical system with cubic nonlinearity.
Comparative analysis of approximate and precise mapping for a «bouncing ball»
Authors:   Saratov Branch of Kotel`nikov Institute of Radiophysics and Electronics of Russian Academy of Sciences, Kuznetsov Aleksandr , Shirokov Andrei ,   Saratov State University
Published: May 2024

Approximate and precise mappings for a bouncing ball are presented. The results of comparison of dynamics showed by these mappings are given: phase portraits, dynamical regimes topography charts, bifurcation parameter values etc. It is shown that the mapping of a bouncing ball in its traditional form occupies an intermediate position between the physically motivated and formal models, and in certain areas of parameter space it should be regarded as a formal model.
Coupled map lattice with non-uniform diffusion as a possible model for effects of integration in university structure
Authors:   Saratov State University, Mchedlova Elena
Published: May 2024

On the basis of ideas and methods of nonlinear dynamics the qualitative analysis of self-organization and integration processes in universities structure is carried out the lattice of coupled logistic maps with additional diffusion mechanism is realized. The numerical analysis of system dynamics and results interpretation are performed for different values of control parameters.
Peculiarities of relaxation то invariant probability measure on chaotic attractors of Lorenz and Rossler systems in the presence of noise
Authors:   Saratov State University, Kopeikin Andrei , Vadivasova Tatjana ,   Saratov State University, Anishchenko Vadim ,   Saratov State University
Published: May 2024

In the paper we analyze the mixing process on chaotic attractors of quasi hyperbolic and nonhyperbolic type. Different characteristics of mixing are compared. It was shown experimentally that the mixing rate can significantly change at the presence of noise for nonhyperbolic attractors. We have found the mechanism of noise influence on the mixing process. It is related to the behaviour of instantaneous phase of a chaotic trajectory.
Ultrasonographic Findings of Thyroid Parenchymal Disease
Authors: Kim Sung-Woo
Published: May 2024

Thyroid parenchymal disease is an inflammatory disease that occurs in the thyroid parenchyma due to autoimmunity or infection. The differential diagnosis of thyroid parenchymal disease is based on clinical manifestation, physical examination, and serological findings. However, ultrasonography of thyroid has also a role in the diagnosis of thyroid parenchymal disease. This review describes common findings of ultrasonography in each thyroid parenchymal disease.
The Attorney’s Liability for Losses Caused to the Principal in the Course of Performance of Actions Based on a Representative Authorization: Grounds and the Legal Nature
Authors:   Attorney of the Chamber of Lawyers of the Moscow Region, Postgraduate Student of the Department of Advocacy of the Kutafin Moscow State Law University (MSAL), Darnitsyn Pavel A.
Published: May 2024

The present article analyses the difficulties that may arise in bringing a barrister to civil liability for losses caused to the principal, in particular, the difficulties in determining the grounds of liability. The author makes an attempt to find a solution to these practical problems through the prism of analyzing the legal nature of such liability and its common principles. In the absence of practice-established approaches to identifying the grounds and procedure for the implementation of liability of advocates for losses caused to their principals and taking into account the nature of such liability, the author justifies by the analogy of law the applicability of approaches to liability developed by practice in other sphere.
Special Aspects of Protection of the Professional Right to Obtain Data Required to Provide Legal Assistance Based on an Attorney’s Request
Authors:   Attorney of the Chamber of Lawyers of the Moscow Region, Burlachenko Andrey S.
Published: May 2024

The article is devoted to the issue of protecting the professional right of a lawyer to receive information, information and documents by sending a lawyer's request. As an improvement of such a legal instrument as a lawyer's request, the author proposes amendments to the current legislation.
Emergent Spaces and Structural Limitations of First Nation Urban Reserves
Authors: Fawcett R. Ben , Walker Ryan , Belanger Yale
Published: May 2024

Resolving urban land claims is an important facet of enacting sovereignty in cities and is occurring in the cities of settler states like Canada, Australia, and New Zealand. The creation of urban reserves is an important means by which First Nations in Canadian cities, especially on the Prairies, are settling outstanding land claims. Findings from interviews with key informants on the urban reserve creation process in Saskatchewan, Canada’s two largest cities, shows urban reserves as liminal spaces in dynamic tension between self-determination, jurisdiction, economic development, and colonial processes of property stipulation, government relations, and approval. This policy area can be enhanced at each stage of the process and offers a pathway toward active treaty relationships in cities.
Comparison of plate and compression screw in the treatment of hallux rigidus with arthrodesis: a retrospective study
Authors: Yurteri Ahmet , Mercan Numan , Yıldırım Ahmet
Published: May 2024

Objectives: Although numerous surgical techniques and fixation methods have been described for the treatment of hallux rigidus (HR) with arthrodesis, consensus on the gold standard treatment has not been reached. The aim of this study is to retrospectively compare the clinical and radiological outcomes of compression screw fixation and plate fixation in the treatment of HR with arthrodesis.
Methods: Patients who underwent arthrodesis surgery due to HR between January 2021 and December 2023 at a single center were retrospectively reviewed. Patients who met the inclusion criteria were divided into two groups: those who underwent arthrodesis with plate fixation (PLATE) and those who underwent arthrodesis with compression screw fixation (SCREW). Demographic data including age, gender, affected side, operative time, hallux valgus angle (HVA), dorsiflexion angle, AOFAS scores, and implant irritation data were compared among patients with at least 3 months of follow-up.
Results: It was observed that all patients included in the study had successful bone union without any complications. There were no significant differences between the two groups in terms of age, gender, affected side, preoperative HVA, and preoperative AOFAS scores (P=0.970, P=0.426, P=0.694, P=0.216, and P=0.905, respectively). The mean operation time and postoperative AOFAS score were lower in the PLATE group compared to the SCREW group (P=0.006 and P=0.004, respectively). However, in the SCREW group, the dorsiflexion angle and the rate of implant irritation were lower compared to the PLATE group (P=0.016 and P=0.01, respectively).
Conclusions: In the surgical treatment of HR, both plate fixation arthrodesis and compression screw arthrodesis are reliable surgical techniques. While plate fixation arthrodesis is a faster and more practical method, arthrodesis with a compression screw results in fewer complaints related to the implant and provides a more functional recovery.
“Follow the Dog”: Using the Go-Along Method in Research on Training and Working with Guide Dogs for People with Visual Impairment
Authors: Pietrowiak Kamil
Published: May 2024

Training and working with a guide dog both take place largely on the move, in public spaces, on the way to the next destination. Trainers, puppy raisers, and visually impaired handlers travel many miles with the dog, learning about each other and interacting with various elements of the environment. The go-along method – used by sociologists, ethnographers, and geographers studying the interdependence of movement, space, perception, daily practices, and strategies – creates an opportunity to understand the dynamics of such interspecies cooperation. It has proved particularly useful in the ethnographic project focusing on different stages of training guide dogs and visually impaired handlers, as well as their verbal and non-verbal communication. Besides the substantive benefits of applying the go-along method, this article also discusses premises, practicalities, and limitations associated with go-alongs, including the dilemmas related to data recording and presentation.
Estimation of erosion- deposition trends across the Quang Nam coast in the background of the climate variability
Authors: Nguyen Tien Thanh
Published: May 2024

Relevance. In the face of current climate change trends, coastal erosion occurs more frequently in coastal lands. This problem not only causes damage to houses and works, but also affects the lives of coastal people. Quang Nam has a coastline of 125 km, which is an area that has been seriously eroded under the impact of hydrodynamic factors, along with extreme weather phenomena, affecting people's lives, and degrade the local economy. Aim. This article presents research on shoreline changes in Quang Nam region using the method of integrating remote sensing and GIS to create a change map. From there, identify erosion and deposition areas to help management agencies pay attention to the protection and development orientation of Quang Nam province in the context of climate change. Methods. Shoreline extraction method in combination with GIS to calculate the coastline change and combines with storm statistics to assess the shoreline change. Results. In the whole study area, erosion is dominant over deposition. Erosion is concentrated mainly in An Bang, North Cua Dai, Duy Hai and Tam Tien areas, ranging from 3.9–9.2 m/year. Deposition is concentrated mainly in the areas south of Cua Dai and Tam Hoa (near the mouth of Truong Giang river). In addition, the analysis results of shoreline changes in Quang Nam area, when combined with storm data affecting this area, also show a positive correlation. Research results can contribute useful information to local authorities to have solutions for planning and managing coastal areas.
Digital graphic monitoring of energy condition of oil reservoirs
Authors: Zakharov Lev A. , Ponomareva Inna N. , Martyushev Dmitriy A.
Published: May 2024

Relevance. Control of energy state of reservoirs is an integral part of the overall system for monitoring the development of hydrocarbon deposits. The traditional way to control the energy state of reservoirs is to build isobar maps, while the input data are the materials of well tests in unsteady conditions. In the current technical and economic conditions, it should be considered impossible even conditionally simultaneous shutdown of the entire well stock for the actual determination of reservoir pressure. This shortcoming is devoid of indirect methods for determining reservoir pressure. In this regard, it seems relevant to compare direct and indirect methods for determining reservoir pressure when using their data to analyze the energy state of hydrocarbon deposits. Aim. Comparative assessment of direct and indirect methods for determining reservoir pressure in the analysis of the energy state of deposits (when constructing isobar maps). Object. Tournaisian-Famenian carbonate deposits of oil from the fields of the Perm Krai. Methods. Well tests, analysis of production history by wells (module Topaze (Kappa Workstation)), machine learning methods (modular service Data Stream Analytics (DSA)), mapping, correlation analysis. Results. Well tests carried out at different times do not allow a reliable assessment of the current energy state of reservoirs, in contrast to indirect methods for determining reservoir pressure, the practical implementation of which allows obtaining the desired value for any date. However, with conditionally the same high predictive ability of indirect methods, the considered methods of machine learning should be considered a priority. This is due to their advantageous characteristics, such as low duration of computational operations, a minimum set of initial data, an integrated mapping service.
Machine learning methods for selecting candidate wells for bottomhole formation zone treatment
Authors: Yamkin Maxim A. , Safiullina Elena U. , Yamkin Alexander V.
Published: May 2024

Relevance. The fact that currently various technologies are widely used in oil fields to increase oil recovery and intensify the inflow, such as treatment a bottomhole zone with hydrochloric acid. In relation to the widespread use of this technology, problematic issues are coming to the fore, including those related to the selection of the right candidate wells at a given time for carrying out the well treatment. Aim. To optimize the search for candidate wells for carrying out treatment the bottomhole zone. The work explores the possibility of using machine learning models to predict whether a well will be the right candidate for a well treatment. Object. Machine learning models of the sklearn library. Methods. To solve the problem of predicting whether a well is a candidate for BT, three machine learning models of the sklearn library were used: RandomForestClassifier, DecisionTreeClassifier, LinearRegression. To assess the quality of the constructed models, the following metrics from the same library were used: F1-score, AUC-ROC-score. Results. The learning forest model showed the best results during training. Using the F1-score metric, this model showed 99.5% convergence on the testing dataset, and using the AUC-ROC-score metric, the accuracy was 99.9%. The resulting accuracy indicates the correctness of using RandomForestClassifier model to solve the problem of identifying the correct candidate wells. Conclusion. The machine learning model was obtained that predicts with 99.5% accuracy whether a well will be the right candidate for a well treatment.
Horizontal well flow rate prediction applying machine-learning model
Authors: Piskunov Sergey A. , Davoodi Shadfar
Published: May 2024

Relevance. The need to accurately and quickly predict flow rates of horizontal wells. This allows optimizing drilling schedules, enhanced oil recovery programs, and field development strategy, as well as making the economic model more accurate and predictable. Currently, analytical calculations and numerical modeling methods are used to predict well production rates. These methods have limitations in both accuracy and time. To solve this problem, it is proposed to use machine learning, which due to its accuracy, adaptability, and speed, allows excluding the disadvantages of the above-mentioned methods. Aim. To create a machine-learning model to quantify gas well flow rates based on geological properties at different time steps. Object. Stock of horizontal wells in a gas condensate field in Western Siberia. Methods. Mathematical modelling, machine learning and statistical methods. Results. The authors have carried out 300 iterations of hydrodynamic modeling in a simulator. They collected an initial data set with the following parameters: time step, porosity, permeability, initial water saturation, reservoir thickness, bottom hole pressure at different distances from the wellbore, and gas flow rate. Machine learning models based on random forest and gradient boosting algorithms were created with different ratios of testing/training samples. The machine learning models were able to accurately predict the gas flow rate of a horizontal well. Gradient boosting showed better prediction results compared to random forest: root mean square error is equal to 8440 std. m3/day, mean absolute percentage error is equal to 3,95%, and coefficient of determination (R2)=0,991.
Micro-hydroelectric power station with a hydraulic unit regulation along a hydrogenerator anchor circuit
Authors: Lukutin Boris V. , Shandarova Elena B. , Popov Mikhail M.
Published: May 2024

Relevance. The article provides a comparative analysis of micro-hydroelectric power stations with a hydraulic unit regulation along a hydrogenerator anchor circuit according to technical and economic efficiency. The authors substantiate the possibility of using intelligent control of the energy balance of inverter micro-hydroelectric power stations for increasing the amount of electricity generated without increase in the installed capacity of the hydraulic unit. This will improve their technical and economic characteristics compared with traditional micro-hydroelectric power plants of the ballast type. This approach allows using intelligent control systems that can regulate power generation depending on the peaks of electricity consumption. For this purpose, inverter micro-hydroelectric power stations are used. They allow more efficient management of energy consumption and accumulation of electricity in batteries. The developed control algorithms make it possible to optimize the operation of micro-hydroelectric power stations, ensuring maximum resource efficiency and reducing the cost of electric energy. Application of these technologies may significantly improve economic indicators of micro-hydroelectric power stations and make them more competitive in the electricity market. The algorithms control the hydraulic unit operation, ensure supply of electric power to consumers and effective use of energy storage batteries depending on electric needs. Aim. Comparative technical and economic analysis of a micro-hydroelectric power station with regulation of the parameters of the generated voltage along the anchor circuit of the hydrogenerator driven by an unregulated hydraulic turbine. Object. Micro-hydroelectric power stations of diversion type with power converters and electricity storage devices. Methods. Computer modeling. Results. The authors have proposed the classification of diversion micro-hydroelectric power stations with hydraulic unit control via the hydrogenerator anchor circuit. The paper demonstrates the technical and economic possibilities of various methods of their construction. The most promising technical solutions for inverter micro-hydroelectric power stations are determined, their energy balances and power equipment control algorithms are optimized.
O Papel do Médico de Saúde Pública em Contexto Hospitalar: Práticas do Sul da Europa como Exemplo para Portugal
Authors: Sá Regina , Amparo Nuno , Urrútia Gerard , Signorelli Carlo
Published: May 2024

N/a.
Transfusions of Blood Products Derived from Genetic Vaccine Recipients: Safety Concerns and Proposals for Specific Measures
Authors: Ueda Jun , Motohashi Hideyuki , Hirai Yuriko , Yamamoto Kenji , Murakami Yasufumi , Fukushima Masanori , Fujisawa Akinori
Published: May 2024

The World Health Organization declared the coronavirus disease 2019 (COVID-19) pandemic in 2020, following which a global genetic vaccination program has been rapidly implemented as a fundamental solution. However, it has been reported worldwide that the modified mRNAs encoding spike proteins and lipid nanoparticles, which are used as drug delivery systems, not only cause thrombosis and cardiovascular disorders post vaccination, but might also cause diverse diseases involving all organs and systems, including the nervous system. Furthermore, the toxicity and pathogenicity of spike proteins may necessitate defining these proteins as nonbiological infective material. Based on these reports and the abundant evidence that has come to light in the past few years, this paper aims to draw the attention of medical professionals to the various risks associated with transfusion using blood products derived from long COVID patients or from genetic vaccine recipients, and to make proposals regarding specific inspection items, testing methods, regulations, etc. This paper provides insights to address the post-vaccination syndrome and its consequences following such genetic vaccination programs.
Design, Synthesis and Photophysical Properties of 5-Aminobiphenyl Substituted [1,2,4]triazolo[4,3-c]- and [1,2,4]triazolo[1,5-c]quinazolines
Authors: Moshkina Tatyana N. , Kopotilova Alexandra E. , Ivan’kina Marya A. , Starnovskaya Ekaterina S. , Gazizov Denis A. , Nosova Emiliya V. , Kopchuk Dmitry S. , El´tsov Oleg S. , Slepukhin Pavel A. , Charushin Valery N.
Published: May 2024

Two series of novel [1,2,4]triazolo[4,3-c]- and [1,2,4]triazolo[1,5-c]quinazoline fluorophores with 4’-amino[1,1′]-biphenyl residue at position 5 have been prepared via Pd-catalyzed cross-coupling Suzuki-Miyaura reactions. The treatment of 2-(4-bromophenyl)-4-hydrazinoquinazoline with orthoesters in solvent-free conditions or in absolute ethanol leads to the formation of [4,3-c]-annulated triazoloquinazolines, whereas [1,5-c] isomers are formed in acidic media as a result of Dimroth rearrangement. 1D-NMR and 2D-NMR spectroscopy as well as single‐crystal X‐ray diffraction analysis unambiguously confirmed the annelation type and determined the molecular structure of p-bromophenyl intermediates and target products. Photophysical properties of the target compounds were investigated in two solvents and solid state and compared with those of related 3-aryl-substituted [1,2,4]triazolo[4,3-c]quinazolines. The excluding of aryl fragment from triazole ring has been revealed to improve fluorescence quantum yield in solution. Most of the synthesized structures show moderate to high quantum yields in solution. Additionally, the effect of solvent polarity on the absorption and emission spectra of fluorophores has been studied and considerable fluorosolvatochromism was stated. Moreover, electrochemical investigation and DFT calculations have been performed, their results are consistent with the experimental observation.
Facial Pain Detection Using Multilinear Subspace Learning
Authors: Aliradi Rachid , Chenni Nidhaleddine , Touami Mohammed , Ouamane Abdealmalik
Published: May 2024

Detection and measurement of pain are crucial in designing effective pain management interventions to alleviate suffering and prevent functional decline in the medical domain. Traditional methods of pain identification rely on verbal patient reports or observable signs, which can be imprecise or subjective due to variability in patient self-assessments. Hence, there is a pressing need for automated methods to standardize pain measurement procedures. This paper proposes a novel facial expression-based automated pain assessment system as a behavioral indicator for pain evaluation. Our system integrates a fusion structure comprising Convolutional Neural Networks (CNNs) and Tensor-based extended Quantitative Expression Descriptors Analysis (TXQEDA). This innovative approach allows for joint learning of robust pain-related facial expression features from raw facial images, combining RGB appearance with shape-based latent representation. We extensively evaluated our proposed model using the UNBC-McMaster dataset for pain classification and intensity estimation. Our results demonstrate the efficacy of the proposed technique, achieving an impressive accuracy of 99.10% for pain level classification. Furthermore, our system excels in pain intensity estimation, showcasing its potential to provide precise and reliable assessments of pain severity. Overall, our research underscores the importance of automated pain assessment systems in improving patient care and clinical outcomes. By leveraging advanced deep learning techniques and fusion strategies, our proposed model offers a promising approach for standardizing pain measurement
procedures and enhancing the quality of pain management interventions.
Effect of a Single Dose of Deflazacort on Postoperative Pain, Swelling and Trismus after Impacted Lower Third Molar Surgery
Authors: Kaplan Volkan , Ciğerim Levent , Feslihan Erkan , Çınarsoy Ciğerim Saadet
Published: May 2024

Background and Objectives: The complications seen after lower impacted third molar surgery affect the quality of life of the patients. The aim of the study was to investigate the efficacy of a single preoperative dose of deflazacort on pain, swelling and trismus following impacted lower third molar surgery. Materials and Methods: This randomised, prospective, double-blind, split-mouth clinical study included 30 healthy individuals with bilaterally impacted lower third molars that was removed for orthodontic purposes between September 2017 and September 2018. Group 1 was given a placebo (single dose vitamin C tablet) and group 2 was given a single 30 mg dose of deflazacort 1 hour prior to the surgery. Pain was evaluated using the visual analog scale for 1 week postoperatively. Edema (in mm) and trismus (in mm) were evaluated preoperatively and on postoperative days 2 and 7. The Mann-Whitney U test was applied for group analysis. p values < 0.05 were considered statistically significant. Results: When postoperative pain scores were evaluated, a significant difference was found between the groups only at the 6th and 12th hours (p0.05). Even high trismus values were recorded on the 2nd day, it was observed that the trismus resolved on the 7th day. There were no significant differences in trismus between the groups at any time point (p>0.05). Evaluation of swelling showed that there was no statistically significant difference between the study and control groups at any time point (p>0.05). No side effect was detected in both the study and the control groups. Conclusions: This was the first split-mouth study evaluating the anti-inflammatory effect of deflazacort after lower impacted third molar surgery. A single dose of 30 mg deflazacort was shown to be effective in reducing pain at 6 and 12 hours postoperatively.
The Effect of Silymarin on Ischemia-Reperfusion Injury in Skeletal Muscles of Rats
Authors: Özer Abdullah , Koçak Başak , Arslan Mustafa , Mardin Barış , Küçük Ayşegül , Sezen Şaban Cem , Zor Mustafa Hakan , Kavutçu Mustafa
Published: May 2024

Background and Aim: It is generally accepted that oxidative stress mediators play an important role in ischemia-reperfusion injury(I/R), although the exact mechanism is not fully elucidated. While the impact of silymarin on I/R injury in several tissues, including the myocardial, cerebral, gastric and liver tissue, has been examined, the present state of research on this topic remains insufficient to provide a widely accepted understanding. For this purpose, our objective was to examine the effect of silymarin on muscle tissue in rats subjected to lower extremity I/R injury.
Method: After ethics committee approval, 18 male Wistar albino rats weighing between 225-275 g were used. The rats were divided into three groups containing six mice each, Control,Ischemia-Reperfusion and Silymarin-Ischemia/Reperfusion groups. Silymarin was administered intraperitoneally 30 minutes before the procedure.( 100 mg/kg-1 ) In the I/R groups, an atraumatic microvascular clamp was placed in the infrarenal abdominal aorta. After 120 minutes, the clamp was removed and reperfusion was achieved for 120 minutes. In muscle tissue samples taken at the end of the reperfusion period; Malondialdehyde (MDA) levels, catalase (CAT) enzyme activity levels and histopathological parameters were compared.
Results: In the histopathological examination, no degeneration was observed in the muscle fibers in the control group, while findings of striated muscle damage such as muscle atrophy hypertrophy, muscle degeneration-congestion, internal of the muscle nucleus-oval-central nucleus, fragmentation-hyalinization and leukocyte cell infiltration were observed in the I/R group. In the S-I/R group, muscle atrophy hypertrophy, internal of the muscle nucleus-oval-central nucleus, fragmentation-hyalinization and leukocyte cell infiltration were observed to improve these damaged areas compared to the I/R group. MDA levels in the I/R group were found to be significantly higher than in the control and S-I/R groups. CAT enzyme activity was found to be significantly higher in the I/R group than in the control group.
Conclusion:Our study revealed that the administration of silymarin at a dosage of 100 mg/kg-1 by intraperitoneal injection 30 minutes before ischemia in rats effectively decreased lipid peroxidation and oxidative stress. Additionally, it successfully reduced the injury caused by ischemia/reperfusion in muscle histology.
The Impact of Organizational Culture on Labor Efficiency: A Case Study at Foreign-Invested Logistics Service Enterprises Approaching Sustainability Development
Authors: VU Quynh Thi Nhu , Pham Kiem Van , Nguyen Ngoc Anh
Published: May 2024

The study aims to evaluate the impact of organizational culture on labor efficiency at foreign-invested logistics service enterprises that are on its ways towards business sustainability. The authors develop theoretical basis on organizational culture and explore factors that contribute to organizational culture and labor efficiency; from which 03 research hypotheses are proposed. Primary data are collected from logistics businesses through questionnaires; multiple linear regresion model is used to analyze the influence of organiational culture on labor effeciency at foreign-invested logistics enterprises. Research results indicate 05 factors of organizational culture contribute positive impact on employee productivity, including employees’ trust, company ideals, leadership styles and authority division, business philosophy and mission, people’s relationship with naturual environment. Based on the research results, proposed recommendations are suggested for improving labor efficiency at foreign-invested logistics service enterprises in a sustainable way.
Skin Health Benefits and Microbial Consortium of Stevia Fermented with Barley Nuruk
Authors: Han Hyun-Ju , Ko Min Nyeong , Shin Chan Seong , Hyun Chang-Gu
Published: May 2024

In this study, the microbial community during the barley yeast fermentation of stevia leaves and its correlation with antioxidant, antiobesity, and anti-inflammatory properties, as well as metabolites, were investigated using UPLC-Q-TOF-MS. Stevia was fermented using commercial TSB media (TSB 1, TSB 2, and TSB 3) and sucrose (Sucrose 1, Sucrose 3, and Sucrose 3) for 1, 3, and 5 days, respectively. Stevia ferments showed higher DPPH and ABTS radical scavenging capacity compared to samples incubated with sucrose for 5 days, and all six ferments inhibited nitric oxide production in a concentration-dependent manner in LPS-induced mouse macrophages. Furthermore, UPLC-QTOF-MS analysis identified 23 related substances, including 10 terpenoids, including rubusoside, steviolbioside, and rebadioside derivatives; dulcoside A; and phlomisoside II, which are indicators of stevia, as well as five flavonoids, four phenolic acids, and four fatty acids. We also identified the microbial community during fermentation via the next-generation sequencing of the 16S rRNA gene for bacteria and the internal transcribed spacer (ITS) gene for fungi. The results showed that TSB 1 and Sucrose 1 ferments were dominated by the pathogens Enterococcus hirae (58.93%) and Cronobacter sakazakii (80.92%), while samples fermented for more than 3 days were pathogen-free and dominated by lactic acid bacteria such as Pediococcus stilesii (73.37%). Microbial community analysis using the ITS region showed that Saccharomycopsis fibuligera, classified as a yeast rather than a mold, dominated the stevia fermentation regardless of the fermentation duration. In particular, the microbial community of the fermentation with a sugar solution was dominated by S. fibuligera by more than 99% throughout the fermentation periods of 1, 3, and 5 days. Finally, to apply the stevia ferments topically to human skin, skin irritation tests were performed on 30 volunteers. The results showed that the highly concentrated extracts (1 mg/mL) of all six stevia ferments were hypoallergenic. Taken together, these findings suggest that brewer's yeast fermented from stevia leaves with a sugar solution offers promise as a natural ingredient for use in functional foods and cosmetics.
Equine Corneal Wound Healing Using Mesenchymal Stem Cell Secretome: Case Report
Authors: Casado-Santos Alejandro , González-Cubero Elsa , González-Fernández Maria Luisa , González-Rodríguez Yaiza , García-Rodríguez Belén , Villar-Suárez Vega
Published: May 2024

Corneal ulcers are a common and potentially vision-threatening condition in horses that can be challenging to treat with conventional therapies alone. This case report describes the successful treatment of a non-healing corneal ulcer in a 28-year-old Hispano-Bretón mare using the secretome derived from adipose tissue-derived mesenchymal stem cells (ASCs). Despite initial treatment with antibiotics, anti-inflammatory drugs, and surgical debridement, the corneal ulcer failed to heal properly, exhibiting persistent epithelial defects and stromal complications. As an alternative regenerative approach, the ASC secretome, a rich source of trophic factors, cytokines, and extracellular vesicles, was topically administered to the affected eye. Remarkably, within one week of secretome treatment, the clinical signs of blepharospasm and epiphora resolved, and the corneal ulcer exhibited complete re-epithelialization, regained transparency, and reduced neovascularization. No recurrence was observed during the 1.5-year follow-up period. This case highlights the potential therapeutic benefits of ASCs secretome in promoting corneal wound healing and suggests its promise as a novel cell-free therapy for treating refractory corneal ulcers in horses.
Under-Five Mortality and Associated Risk Factors in Children Hospitalized at David Bernardino Pediatric Hospital (DBPH), Angola: A Hierarchical Approach
Authors: Avelino Israel , Van-Dúnem Joaquim , Varandas Luís
Published: May 2024

Reducing under-five mortality is a key indicator of a country's overall development, yet in Angola, understanding the factors contributing to hospital deaths in this vulnerable demographic remains incomplete despite improvements in healthcare infrastructure and public health policies. With one of the highest under-five mortality rates in Sub-Saharan Africa, Angola grapples with significant challenges, including malaria, malnutrition, pneumonia, neonatal conditions, and intestinal infectious diseases, as leading causes of death among children. This study aimed to identify factors associated with these hospital deaths in children aged 28 days to five years admitted to DBPH in Luanda between May 2022 and June 2023. Utilizing a hospital-based case-control design, a total of 1020 children were studied, with 340 cases of hospital deaths. Notably, distal and intermediate determinants emerged as primary predictors of hospital mortality, revealing significant associations with maternal education status, maternal alcohol consumption during pregnancy, short hospital stays (≤24h), poor nutritional status, short interbirth intervals, maternal age ≤19 years, and maternal age ≥35 years. These findings underscore the preventable nature of most under-five hospital deaths and emphasize the urgent need to address social inequities and enhance the quality of primary healthcare services to effectively mitigate child mortality.
Preparing for patient-customized N-of-1 Antisense Oligonucleotide Therapy to Treat Rare Diseases
Authors: Wilton-Clark Harry , Yan Eric , Yokota Toshifumi
Published: May 2024

The process of developing therapies to treat rare diseases is fraught with financial, regulatory, and logistical challenges that have limited our ability to build effective treatments. Recently, a novel type of therapy called antisense therapy has shown immense potential for the treatment of rare diseases, particularly through single-patient N-of-1 trials. Several N-of-1 antisense therapies have been developed recently for rare diseases, including the landmark study of milasen. In response to the success of N-of-1 antisense therapy, the Food and Drug Administration (FDA) has developed unique guidelines specifically for the development of antisense therapy to treat N-of-1 rare diseases. This policy change establishes a strong foundation for future therapy development, and addresses some of the major limitations that previously hindered the development of therapies for rare diseases.
"How Good Is Your Explanation?": Towards a Standardised Evaluation Approach for Diverse XAI Methods on Multiple Dimensions of Explainability
Authors: Bhattacharya Aditya , Verbert Katrien
Published: May 2024

Artificial Intelligence (AI) systems involve diverse components, such as data, models, users and predicted outcomes. To elucidate these different aspects of AI systems, multifaceted explanations that combine diverse explainable AI (XAI) methods are beneficial. However, popularly adopted user-centric XAI evaluation methods do not measure these explanations across the different components of the system. In this position paper, we advocate for an approach tailored to evaluate XAI methods considering the diverse dimensions of explainability within AI systems using a normalised scale. We argue that the prevalent user-centric evaluation methods fall short of facilitating meaningful comparisons across different types of XAI methodologies. Moreover, we discuss the potential advantages of adopting a standardised approach, which would enable comprehensive evaluations of explainability across systems. By considering various dimensions of explainability, such as data, model, predictions, and target users, a standardised evaluation approach promises to facilitate both inter-system and intra-system comparisons for user-centric AI systems.
Kolmogorov-Arnold network for word-level explainable meaning representation
Authors: Galitsky Boris A.
Published: May 2024

We leverage the explainability feature of KAN network and build an explainable language model where certain neurons encode individual words and neuron activation is fully interpretable in terms of the basis of a word. To do that, we propose a continuous word2vec model where a meaning of a word is expressed by a continuous profile of distances of this word from the words in the basis of words which is interpolated. As a result, the whole KAN network can be interpreted as a sequential procedure with word expressions. We then proceed from words to logic programs and develop a clause learning technique based on KAN. A logic program construction process from facts now become fully interpretable. We follow the differentiable inductive logic programming technique, representing a logic program as a matrix learned by KAN. Hence, we obtain an efficient and fully interpretable rule learning approach.
The Photochemical Isomerization in Pyridazine-N-oxide Derivatives
Authors: D’Auria Maurizio , Emanuele Lucia
Published: May 2024

DFT calculations on the photoisomerization reactions of pyridazine N-oxide derivatives are presented. The irradiation of 3,6-diphenylpyridazine N-oxide allowed to obtain the first excited singlet state that underwent to a ring opening reaction induced to the oxygen migration to the adjacent carbon atom, with the formation of a diazo derivative. This intermediate can give a ring closure reaction to give a pyrazole derivative, or, with a higher transition energy, it can lose nitrogen allowing the formation of 2,5-diphenylfuran. The irradiation of 3-phenylpyridazine N-oxide allowed the formation only of 2-phenylfuran. In this case, calculations allowed to explain this behavior. The first excited singlet state gave a photoisomerization reaction with the formation of the corresponding diazo intermediate. This intermediate could not be converted into the corresponding pyrazole derivative because it was converted into a N-formyl pyrazole never reported in literature. The only possible reaction is the loss of nitrogen and the formation of 2-phenylfuran.
The Apologetic Discourse towards the Convergence between Pure Land Buddhism and Science of the Contemporary Chinese Buddhist Monk Da An (1959-)
Authors: An Saiping
Published: May 2024

This article explores the apologetic discourse towards the convergence between Pure Land Buddhism and science of the contemporary Chinese Buddhist monk Da An (1959- ). Faced with the formidable challenge posed by contemporary science towards public acceptance of Buddhism, Da An endeavors to employ science as a medium for propagating Pure Land teachings, seeking to accommodate the preferences of scientifically inclined individuals. He utilizes several theoretical physics concepts to validate that certain ostensibly miraculous accounts within Pure Land Buddhist texts are not incompatible with contemporary science. Further, he asserts that certain supernatural narratives therein indicate that some physical principles still residing in theoretical conjectures on Earth have already been validated and can be utilized at will by the celestial beings in Sukhāvatī, thus asserting the supremacy of Pure Land teachings over science. The article endeavors to examine the contemporary dialogue between Pure Land Buddhism and science, which has been overlooked in the current research realm of the interaction between Buddhism and science.
Penerapan Modul Elektronik Sigil pada Materi Fluida Dinamis untuk Meningkatkan Kompetensi Pengetahuan dan Minat Belajar Siswa SMA Negeri 1 Baturetno
Authors: Harwanti Afifah , Fauzi Ahmad , Supurwoko Supurwoko , Wulandari Arum
Published: May 2024

The objective of this research is to: (1) Implement Sigil electronic modules to enhance the knowledge competence of students of Class XI MIPA 5 State High School 1 Baturetno teaching year 2021/2022 on dynamic fluid material, (2) Implements Sigil electronics modules for enhancing the learning interest of students in Class XI of MIPA 5, State High school 1 Buturetno 2021/2022. Class action research (PTK) with models developed by Kemmis and Mc. Taggart was used in this study. Subject of the research is a student of XI grade MIPA 5 State High School 1 Batyretno academic year 2021/2022. Data collection using lifting techniques, tests, interviews, and document studies. Data analysis is quantitative and qualitative analysis. Validation of guides is used to validate the data output of each cycle. The findings of the research are that the application of the electronic module Sigil based on scientific material Dynamic fluids can improve the competence of knowledge and interest in learning students of class XI MIPA 5 State High School 1 Baturetno academic year 2021/2022. Presentation accuracy and class average on knowledge competence increased from 59.38% (class average 69.34) in the pre-cycle phase, increased in cycle I with a top presentation of 93.75% (grade average 83.68), and achieved a 100% (class mean 86.25%) in the cycle II. Presentation of accuration on all four aspects of student learning interests also increased by 3 – 5% from pre cycle, cycle 1, to cycle 2 and has reached the enclosure target.
Leadership Perfectionism and Its Cross-Level Impacts on Employees’ Innovative Behavior
Authors: Davin Veciero , Huaqiang Wang , Yuyan Fu , Xin Jiang
Published: May 2024

Based on social information processing theory and motivational information processing theory, this article explores the impact, mediating effect and moderating effect of leadership perfectionism on employee innovative behavior. This study proposes the following hypotheses: (1) Leadership perfectionism negatively affects employee innovative behavior; (2) Speech climate plays a mediating role between leadership perfectionism and employee innovative behavior; (3) Team performance approach goal orientation negatively regulates the relationship between leadership perfectionism and voice climate. The theoretical analysis of this article has positive significance for improving the leadership effectiveness of perfectionistic leaders and promoting employees' innovative behavior.
Salvage Reconstruction of a 12-cm Tendon Defect Following Chronic Achilles Rerupture—15-Year Follow-Up
Authors: Manz Wesley J. , Bowman Jason , Pongastron Tee , Sherwood Scot , Labib Sameh A.
Published: May 2024

Case:

A 39-year-old man with a chronic Achilles rupture status post (1) failed primary repair and (2) secondary xenograft repair with graft rejection, resulting in a 12-cm Achilles tendon defect, which was reconstructed utilizing an Achilles bone block allograft and flexor hallucis longus (FHL) tendon transfer. At 15-year follow-up, the patient reported good functionality and satisfaction with the repair, with positive patient-reported outcome measures. Physical examination revealed excellent strength and range of motion. Magnetic resonance imaging confirmed the integrity and incorporation of the Achilles/FHL graft composite.

Conclusion:

This case study provides valuable insight into successful long-term management of complex chronic Achilles ruptures with large defects.
Estudio del uso de la voz pasiva en las obras de Mo Yan traducidas al español y análisis de sus motivaciones
Authors: Li Jing , Li Zhuoqun
Published: May 2024

El presente trabajo se basa en un corpus de traducción formado por los originales y las versiones traducidas al español de cuatro obras del autor chino Mo Yan: ¡Boom!, El manglar, Trece pasos y Cambios. Se realiza una investigación cuantitativa sobre la frecuencia de uso de la voz pasiva en las traducciones y se pretende analizar las motivaciones del uso de las oraciones pasivas desde el enfoque de la gramática cognitiva y la pragmática. En primer lugar, el estudio muestra que el uso de las pasivas reflejas y las pasivas perifrásticas en las traducciones supera el empleo que se hace de ellas en el idioma original, en especial, en lo que respecta a las pasivas reflejas; luego, observamos cómo las oraciones en chino que han sido traducidas como pasivas en español presentan siete categorías de esquemas de imagen dinámicos o de estructuras sintácticas, que conllevan un flujo de fuerza destinado al sujeto paciente; por último, comprobamos que las funciones pragmáticas de las oraciones chinas son principalmente relatar y proclamar, al igual que el uso de la voz pasiva en español. Por ello, consideramos que la cognición, la sintaxis y la pragmática son las motivaciones clave que fomentan el uso de las oraciones pasivas en las traducciones al español.