bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluating Diverse Meta-Modeling Approaches for Predicting Performance Characteristics of a Twin Air Intake Based on Experimental Data
Authors: AMIRI Human , Küçük Umut Can
Published: May 2024

Air intakes are critical components in maximizing the efficiency of jet-powered engines. Their diverse designs, ranging from conventional shapes to innovative configurations, coupled with the intricate interplay of fluid dynamics, boundary layer effects, and structural considerations, render the determination of their performance characteristics a time-consuming task. However, a meticulous and confident evaluation of these characteristics is the key to achieving optimal air intake design and, consequently, significant enhancement of overall engine performance. This article assesses various meta-modeling approaches for predicting the performance characteristics of a twin air intake system. A comprehensive exploration of meta-modeling methods, particularly those specifically tailored for data derived from experiments, is presented. A database of 4000 experimentally obtained runs is utilized to construct train and test data for diverse models, including polynomials, decision trees, random forest regression, multivariate adaptive regression splines, and neural networks. The performance of each model is rigorously evaluated based on goodness of fit, precision, accuracy, monotonicity, and interpretability. This study provides a cost-effective and time-efficient alternative for predicting crucial flow parameters associated with the air intake of jet engines. The results reveal that the Random Forest Regression (RFR) model outperforms all other models across all evaluated metrics, demonstrating its superior effectiveness in predicting the performance characteristics of the twin air intake system.
A new speaker verification model integrated with texture variational features
Authors: Zhang Jiahao , Sun Chengli , Sun Jiayi , Chen Feilong , Zou Cairong , Guo Qiaosheng
Published: May 2024

Different speakers exhibit unique acoustic characteristics, presenting distinct texture patterns in spectrograms. Current research primarily focused on speaker clustering and the design of speaker verification network architectures, but the potential effects of employing varying degrees of differentiation on speaker characteristics have not been explored in the context of speaker verification tasks. In this study, we drew inspiration from the application of edge-oriented convolution block for image texture extraction in image super-resolution analysis, and proposed a new speaker verification model integrated with texture variational features which designed a feature extraction module called order-FCM. We employed Sobel and Laplacian operators to compute first- and second-order differences in the time-frequency domain, aiming to enhance the network's learning of the richer dynamic properties and higher-order features of speech signals. Additionally, we introduced the global response normalization method from the field of computer vision to normalize global channel features at the end of order-FCM, mitigating potential feature collapse phenomena. We integrated the designed module with existing speaker verification networks, and experimental results demonstrated that the performance of this method significantly surpasses that of baseline models on validation sets provided by Vox1-O, Vox1-E, Vox1-H, and the 2023 International Speaker Recognition Challenge (Voxsrc2023).
Performance Evaluation of Machine Learning Approaches for Classification of Ddos Attacks in Software Defined
Authors: Wabi Abdullahi Aishatu , Idris Ismaila , Olaniyi Olayemi Mikail , Ojeniyi Joseph A. , Adebayo Olawale S.
Published: May 2024

Enhancing network management and centralized network control is the goal of software-defined network. It separates the data plane from the control plane. Pros of SDN include its programmability, flexibility, and manageability to accommodate network users' ever-increasing demands. SDN is known to be a strong and safe defense against malicious network activity, but it is also susceptible to attacks like distributed denial-of-service attacks. This is a result of its centralized control features. To defend against this threat, a number of machine learning strategies have been employed. This study evaluated the performance of five Machine learning (ML) Algorithm (Naive Bayes, K-nearest neighbour, Random Forest, support vector machine, Logistic regression) for classifcation of traffic dataset as either normal or DDOS attacks in SDN. The study adopted 10-fold cross validation on each of the ML Algorithms and the result showed Random forest has the highest performance compared with other machine learning model while Naive Bayes had the lowest training time.
Home-based physical activity intervention (Active-at-Home-HF) improves left atrial function, exercise duration and quality of life in heart failure with preserved ejection fraction
Authors: Sengupta Shantanu P. , Okwose Nduka C. , MacGowan Guy A. , Jakovljevic Djordje G.
Published: May 2024

Background: There is limited evidence regarding the effect of physical activity interventions on exercise tolerance, left ventricular filling pressure, and quality of life in patients with heart failure with preserved ejection fraction (HFpEF). This study assessed the acceptability, feasibility, and physiological outcome of a novel, personalized, home-based physical activity intervention in HFpEF.
Methods: This was a prospective, feasibility randomized study. Forty HFpEF patients who were clinically stable were randomized 2:1 ratio to an intervention group (60±6 years, n=25, 12 male) which involved increasing daily physical activity by 2,000 steps from baseline (Active-at-Home-HF) or to standard care control group (60±7 years, n=15, 4 male) for 12 weeks. Before and after the 12 weeks, patients underwent supervised exercise stress test on a treadmill, and assessment of exercise stress echocardiography, Quality of life (QoL) (Minnesota living with heart failure questionnaire) and N-terminal prohormone of brain natriuretic peptide (NTproBNP) were also assessed before and after intervention. All patients were monitored weekly via telephone and pedometers.
Results: In the intervention group, patients achieved target step count after three weeks (from 4457±653 to 6592±546 steps per day, p<0.001), and maintained throughout the duration of the study. Exercise duration increased significantly in the intervention (350±122 vs 463±135 secs) but not in control group (399±126 vs 358±88 secs p=0.007 group*time interaction) at follow-up. Left ventricular (LV) filling pressure (E/E’) improved in the intervention group (12.43±3.6 vs 9.72±1.86) but was not significantly different compared to controls (12.86±3.17 vs 12.44±2.23) (group*time interaction p=0.08). The left atrial reservoir strain significantly improved in intervention group (25.5±4.4 vs 23.3±4.5%) and not in non-intervention group (21.8±4.4 vs 21.9±4.8%)(p=0.015). There was no change in NT proBNP, left ventricular ejection fraction, LV longitudinal strain, stroke volume, cardiac output, cardiac power output and right ventricular systolic function in the intervention or control group (p>0.05). There were no adverse events.
Conclusions: In this study of HFpEF patients, a 12-week personalised home-based physical activity intervention is feasible, acceptable, safe, improves left atrial function, exercise duration and quality of life and may improve left ventricular filling pressures.
An Analysis of EEG Signal Classification for Digit Dataset
Authors: Iqbal Asif , Bhardwaj Arpit , Suhag Ashok Kumar , Diwakar Manoj , Bijalwan Anchit , Bhardwaj Aditi , Verma Madhushi
Published: May 2024

Artificial Intelligence (AI) and Machine Learning has brought significant atten- tion to the human brain, making it a prominent research area in engineering and technology and other non-medical sciences. Electroencephalogram (EEG) are one of many biological signals that are produced by human brain. EEG signals contain electrical properties and has frequency ranging between 0-100Hz. Fea- tures are the various attributes of the recorded signals which are associated with the state of the human brain. The data comprises values that correspond to the frequencies of EEG signals, specifically delta, theta, alpha, beta, and gamma. Additionally, it includes information about the level of attention, level of medita- tion, and the frequency of eye blinking of the subject. This research has given a notion of how a imagined digit is classified from an EEG signal by using machine learning algorithms. We have done the analysis by using models like k-Nearest Neighbor (kNN), Convolutional Neural Network (CNN) and Genetic Program- ming (GP). An original EEG data set is created for digit from 0–9 by using a non invasive single electrode (channel) EEG device. The obtained accuracy for kNN is 66.8%, for Convolutional Neural Network it is 73.1% and that for GP it is calculated equal to 82%. If the calculated accuracy of lower channel device is improved and further achieved more then one day they may replace higher chan- nel bulky devices. As single channel or lower channel EEG device are portable and easy to use therefore implementation of this work in future may meet a variety of applications in biomedical engineering, smart health care, personal assistance and automation.
Optimizing Healthcare Insights: Unstructured Healthcare Data Analysis with Hybrid Models
Authors: Alam Md. Moddassir
Published: May 2024

The healthcare industry has witnessed an unprecedented integration of unstructured data from diverse sources including medical images, clinical notes, patient records, etc. Traditional methods often struggle to effectively analyze and make sense of this heterogeneous data. In response to the growing integration of diverse unstructured healthcare data, this study introduces a novel approach leveraging a hybrid model that combines Deep Recurrent Neural Network and Butterfly Optimization Algorithm (BOA-DRNN). The proposed study aims is to enhance the analysis of complex and unstructured healthcare data by examining hierarchical representations and temporal dependencies. The proposed mechanism begins with the collection and pre-processing of unstructured healthcare data. The DRNN component examines the hierarchical representations and temporal dependencies within the unstructured data. By capturing patterns in the data, the DRNN facilitates improved predictive analysis and offers enhanced decision-making within healthcare units. In addition, the BOA approach was utilized for optimizing the DRNN training by fine-tuning its hyperparameters. This optimized training of DRNN ensures greater effective analysis of data and provides improved prediction performances. The presented framework was validated with the publicly available unstructured healthcare dataset and the results are examined in terms of accuracy, precision, recall and f-measure.
Single cell suppression profiling of human regulatory T cells
Authors: Søndergaard Jonas , Tulyeu Janyerkye , Priest David , Sakaguchi Shimon , Wing James
Published: May 2024

Regulatory T cells (Tregs) play an important role in regulating immune homeostasis in health and disease. Traditionally their suppressive function has been assayed by mixing purified cell populations, which does not provide an accurate picture of a physiologically relevant immune response. To overcome this limitation, we here developed “single cell suppression profiling of human Tregs” (scSPOT). scSPOT is more informative and physiological than traditional assays, using a 52-marker CyTOF panel, a cell division detection algorithm, and a whole PBMC system to assess the function of Tregs on all cell types simultaneously. By employing scSPOT, we observed Tregs having the clearest suppressive effects on CD8-EM through division arrest, cell cycle inhibition, and effector molecule downregulation. Additionally, we demonstrate cellular differentiation tracking and drug screening applications of scSPOT and use it to identify the potential origin of a Treg phenotypic split in critical viral infection and further propose modes of action by the FDA-approved drugs Ipilimumab and Tazemetostat. scSPOT is scalable, robust, widely applicable, and may be used to better understand Treg immunobiology and screen for therapeutic compounds.
The Effect of a Neuroeducation Program on L2 Automatization and Acquisition for Intermediate Young Adult Learners
Authors: Yusuf Nermin H.
Published: May 2024

Almost without exception, adult second language (L2) learners fail to acquire an L2 to a comparable level of proficiency as their first language (L1). In part, traditional teaching approaches fail to address this issue or adapt to the equipotential brain. In light of this, this research attempted to explore language acquisition from a neuroeducation perspective. Accordingly, a neuroeducation program was developed which draws on concepts from neuroscience. The neuroeducation program was developed based on the LIRRA neuroeducational model which was proposed to automatize L2 and improve language acquisition for late learners. The program hinged on reiterative implicit exposure of lexical phrases in an attention- and reward- stimulating setting. This was to allow for procedural memory processing (like in L1) where L2 becomes automatized. In this regard, in a pre-post design, 30 English intermediate-level undergraduates were enrolled to the study. The program was a computerized online one encompassing 23 sessions and was implemented using a variety of engaging techniques such as games, riddles, and interactive readings. The outcomes were measured using a pre/post-test comprising three sections: a lexical-phrases production test, a reading proficiency test, and a writing test. The results revealed that the students showed a significant speed-up performance and considerable automaticity gains. Additionally, students showed a significant improvement in their acquisition of L2 lexical phrases and their reading proficiency. This research holds a promising future for the implementation of neuroeducation programs in language learning and for self-directed learning.
Secure and Efficient Sharing of Model Insights between Commercial Large Language Models
Authors: Sripras Nattawut , Somchaiya Thawatchai , Khamphanit Panita , Chaikiatsri Pattara , Kiatmontri Sarawut
Published: May 2024

Rapid advancements in large language models (LLMs) require secure and efficient mechanisms for sharing insights between different models, particularly when handling sensitive data. Addressing these needs, the presented research develops and evaluates a comprehensive framework incorporating differential privacy, homomorphic encryption, and secure multi-party computation to ensure the integrity and confidentiality of data shared between commercial large language models such as Gemini 1.5 and ChatGPT-4. Key results demonstrate that the implementation of these cryptographic methods effectively protects data privacy and security, allowing for collaborative enhancements in model intelligence without compromising data integrity. Extensive testing confirms the framework's robustness against sophisticated cyber threats and its practical viability for real-time applications. The findings provide a solid foundation for further optimization of security measures, aiming to enhance the scalability and efficiency of knowledge sharing among AI systems in sensitive and critical environments.
Rawlsova teorija pravednosti u kontekstu mentalnih poremećaja
Authors: Lekić Barunčić Kristina
Published: May 2024

Rawlsova teorija pravednosti predmet je brojnih kritika zbog pretpostavke nemogućnosti adekvatnog uključenja osoba s mentalnim oštećenjima, bilo kao zakonodavaca bilo kao korisnika načela pravednosti. Kritika Marthe Nussbaum usmjerena je na problem zakonodavne skupine i mogućnosti uključenja osoba koje su, zbog kriterija racionalnosti i razložnosti, isključene iz procesa formiranja temeljnih načela. U ovome radu prepoznajem probleme s kojima se Rawlsova teorija susreće u svjetlu navedenih kritika te kao rješenje predlažem konstruktivnu interpretaciju teorije pravednosti. Takva interpretacija omogućit će nam proširenje skupine zakonodavaca kroz uključivanje onih pojedinaca s mentalnim oštećenjima koji su, ističe Nussbaum, sposobni sudjelovati u odabiru načela pravednosti. Također, ponuđena interpretacija u opseg pravednosti obuhvatit će i osobe s najtežim oblicima mentalnih poremećaja, tako da im omogući zaštitu putem proširene liste valjanih razloga za načela pravednosti, koji će biti senzibilni prema specifičnim interesima i potrebama takvih osoba.
John Rawls i sloboda političkog govora
Authors: Brčić Kuljiš Marita
Published: May 2024

Slobodan politički govor – shvaćen kao (1) pravo na javno kritiziranje vlasti, (2) pravo na zastupanje teorija i ideologija koje su suprotne vladajućoj, (3) pravo zagovaranja političkih i institucionalnih promjena itd. – onaj je govor koji omogućava temeljno razlikovanje demokratskih i nedemokratskih sustava. U sklopu rasprava o slobodnom političkom govoru posebno su važne rasprave koje se odnose na sâm sadržaj slobode političkog govora, koji mogu poticati pobunu protiv političkog poretka, zagovarati rasizam, širiti govor mržnje ili npr. otkrivanje državnih tajni. S obzirom na navedeno, u ovom ćemo radu otvoriti raspravu o slobodi političkog govora u Rawlsovu političkom liberalizmu s posebnim naglaskom na ideju javnog uma. Da rasprava ne bi ostala na razini teorijske analize, Rawlsovo ćemo shvaćanje slobode političkog govora dodatno analizirati i kroz slučaj Trump vs. Twitter.
Monopoles in Dirac spin liquids and their symmetries from instanton calculus
Authors: Ganesh Shankar , Maciejko Joseph
Published: May 2024

The Dirac spin liquid (DSL) is a two-dimensional (2D) fractionalized Mott insulator featuring massless Dirac spinon excitations coupled to a compact U(1) gauge field, which allows for flux-tunneling instanton events described by magnetic monopoles in (2+1)D Euclidean spacetime. The state-operator correspondence of conformal field theory has been used recently to define associated monopole operators and determine their quantum numbers, which encode the microscopic symmetries of conventional ordered phases proximate to the DSL. In this work, we utilize semiclassical instanton methods not relying on conformal invariance to construct monopole operators directly in (2+1)D spacetime as instanton-induced ’t Hooft vertices, i.e., fermion-number-violating effective interactions originating from zero modes of the Euclidean Dirac operator in an instanton background. In the presence of a flavor-adjoint fermion mass, resummation of the instanton gas is shown to select the correct monopole to be proliferated, in accordance with predictions of the state-operator correspondence. We also show that our instanton-based approach is able to determine monopole quantum numbers on bipartite lattices.
Non-minimal coupling, negative null energy, and effective field theory
Authors: Fliss Jackson R. , Freivogel Ben , Kontou Eleni-Alexandra , Pardo Santos Diego
Published: May 2024

The non-minimal coupling of scalar fields to gravity has been claimed to violate energy conditions, leading to exotic phenomena such as traversable wormholes, even in classical theories. In this work we adopt the view that the non-minimal coupling can be viewed as part of an effective field theory (EFT) in which the field value is controlled by the theory’s cutoff. Under this assumption, the average null energy condition, whose violation is necessary to allow traversable wormholes, is obeyed both classically and in the context of quantum field theory. In addition, we establish a type of "smeared" null energy condition in the non-minimally coupled theory, showing that the null energy averaged over a region of spacetime obeys a state dependent bound, in that it depends on the allowed field range. We finally motivate our EFT assumption by considering when the gravity plus matter path integral remains semi-classically controlled.
Results from the open-label, single-center, clinical study assessing the efficacy and safety of a group cognitive stimulation therapy in Russian-speaking patients with the moderate dementia stage of Alzheimer's disease
Authors: Zhitkova Y. V. , Gasparian A. A. , Sarvarova A. F. , Korobova D. A. , Galyavova F. I. , Baynazarova A. I. , Khamidullina A. M. , Domanskaya E. V.
Published: May 2024

Introduction. Cognitive stimulation therapy (CST) used worldwide to treat cognitive impairment has recently attracted interest of Russian medical and scientific minds. However, when applied to Russian-speaking patients with dementia, CST requires adaptation. Aim. To evaluate the effectiveness and safety of the Russian-language version of CST for Russian-speaking patients with Alzheimer’s disease at the stage of moderate dementia.

Materials and мethods. 8 participants involved into the trial were residents of social care center ZILANT diagnosed as dementia patients with Alzheimer’s, aged 76 ± 10.8 years, with the median MMSE score identified 17 ± 5.0. Before implementing the main course of CST developed by E. Spector et al we translated and localized it for Russian patients. The patients undergoing CST were assessed for the state of cognitive functions, everyday activity, mental symptoms, as well as enjoyment and involvement. One of the recruited patients was excluded due to restlessness and anxiety.

Results. Seven patients had significantly improved on ADAS-Cog scale (p = 0.002), Lowton&Brody and ADCS-ADL. The NPI scale indicated a reduction in symptoms of delirium and apathy which contributed to a reduction in antipsychotic dosages and a corresponding decrease in caregiver’s distress. The most striking indicator of CST effectiveness was improvements in the patient’s mood and satisfaction, which we view significant in everyday life and as an indicator of CST safety.

Conclusion. The Russian-language version of CST proved effective and safe for moderate dementia patients with Alzheimer’s and can be recommended for implementing in clinical practice. This opens up prospects for studying CST as part of various drug strategies in treatment of dementia of various origins.
Effective treatment of stress and anxiety symptoms in patients with chronic diseases
Authors: Shishkova V. N.
Published: May 2024

Acute or chronic stress, as well as high anxiety condition constitute risk factors leading to the development and progression of many common chronic diseases, including cardiovascular, endocrinological, pulmonary, oncological diseases, etc. A particular feature of these conditions co-occurring with chronic diseases is their significant impact on the motivational aspect of medication compliance, including non-pharmaceutical treatments and a healthy lifestyle, which can increase manyfold the risk for complicated course of chronic somatic disease. On the one hand, the urgent need to identify and manage anxiety and stress disorders in the outpatient practice is caused by high incidence rates of these disorders in patients with chronic pathologies, deteriorated quality of life and increased adverse outcomes, and on the other hand, by inadequate awareness of the options available for safe and efficient correction of these disorders. Therapeutic approaches to the management of high anxiety conditions, in particular those under chronic stress, include both pharmaceutical and non-pharmaceutical treatments, but their efficiency, availability and safety are often not interchangeable. This review article presents the most common variants of anxiety disorders combined with chronic somatic diseases in outpatient practice. A safe and effective option to combat symptoms of stress and high anxiety using modern herbal medicines with anti-anxiety, sedative and antispasmodic effects that can be regarded as alternatives to conventional anxiolytics is considered.
Differential diagnosis and treatment of enthesopathies
Authors: Devald I. V. , Khodus E. A. , Belsner M. S. , Minakina O. L.
Published: May 2024

The article provides a review of the literature on the pathology of the periarticular structure of the enthesis - the site of attachment of a tendon or ligament to the bone. The anatomical and functional features of the fibrocartilaginous enthesis are presented in detail from the position of the “enthesis organ”, which includes the enthesis and the adjacent synovial membrane, bursae and adipose tissue. The issues of the occurrence of degenerative changes against the background of mechanical stress and inflammatory rheumatic pathological processes in the above structural and functional anatomical unit are analyzed. The anatomical zones whose entheses are most often affected are given. The terminology of degenerative and inflammatory lesions of the enthesis is considered, including from the standpoint of ICD-10 codes. The advantages and disadvantages of modern terms are discussed, current concepts corresponding to the etiology of the pathological process are proposed: degenerative-dystrophic or traumatic enthesopathy and inflammatory enthesitis. This division of concepts is aimed at adopting the correct diagnostic and treatment tactics for a doctor of any specialization. The differential diagnosis of these nosologies and approaches to conservative treatment are considered. The possibilities of local injection therapy for enthesitis and enthesopathies, the use of  anti-inflammatory and reparative techniques are discussed in detail. Based on our own clinical experience, the features of the treatment of various enthesopathies with glucocorticoids, autologous plasma, microinductive collagen, linear hyaluronates and polynucleotides are considered. Issues of priority methods in different clinical situations and the possibility of prolonging the therapeutic effect, as well as a combination of local and non-drug methods, were discussed. The tactics for ineffective local treatment, methods for correcting therapy and the choice of a leading specialist for various pathologies are discussed.
Long-term combined antiplatelet therapy for secondary prevention of noncardioembolic stroke
Authors: Kostenko E. V. , Petrova L. V. , Eneeva M. A.
Published: May 2024

Introduction. The high risk of recurrent ischemic events after non-cardioembolic ischemic stroke(IS), the prevalence of which is 25% of all strokes in the Russian Federation, determines the need to search for effective and safe secondary prevention strategies.

Аim. The study was to evaluate the efficacy and safety of a combination of ADP receptor inhibitors (dipyridamole) with acetylsalicylic acid in patients with ischemic stroke (IS) in the secondary prevention of noncardioembolic stroke.

Materials and methods. 229 patients in the early recovery period of noncardioembolic IS (139 women, 90 men), with an average age of 59.0 ± 5.7 years were included in the study. The duration of IS was 54.4 ± 6.1 days. All patients received a multimodal medical rehabilitation (MMR) program. Long-term double antiplatelet therapy with acetylsalicylic acid (ASA) 75 mg per day and dipyridamole at a daily dose of 225 mg divided into 3 doses were prescribed to all the patients. The neurological and neuropsychological status of the patient, quality of life and hemorheological parameters were assessed initially (T0), after MMR (T1, 6 weeks) and 12 months after IS(T2).

Results. Motor and coordination indicators of patients as well as the cognitive and emotional parameters were significantly (p < 0,05) improved due to MMR technology. These were confirmed by the dynamics of the corresponding scales. The prescribed double antiplatelet therapy did not cause significant adverse events and worsening of the patients’ well-being both during the MMR process and during the observation period. The combination of ASA with dipyridamole was well tolerated. At the end of the study, recurrent IS, myocardial infarctions, and fatal bleeding were not recorded. In 5.2% patients with severe risks of cardiovascular complications there was occurred TIA. The effectiveness of the dual antiplatelet therapy was confirmed by a decrease in the level of platelet aggregation (p < 0,05).

Conclusions. The high effectiveness of secondary prevention of IS with a combination of ASA and dipyridamole with good tolerability and safety in patients after IS has been shown.
Enhancing short-term streamflow prediction in the Haihe River Basin through integrated machine learning with Lasso
Authors: Song Yongyu , Zhang Jing
Published: May 2024

With the widespread application of machine learning in various fields, enhancing its accuracy in hydrological forecasting has become a focal point of interest for hydrologists. This study, set against the backdrop of the Haihe River Basin, focuses on daily-scale streamflow and explores the application of the Lasso feature selection method alongside three machine learning models (long short-term memory, LSTM; transformer for time series, TTS; random forest, RF) in short-term streamflow prediction. Through comparative experiments, we found that the Lasso method significantly enhances the model's performance, with a respective increase in the generalization capabilities of the three models by 21, 12, and 14%. Among the selected features, lagged streamflow and precipitation play dominant roles, with streamflow closest to the prediction date consistently being the most crucial feature. In comparison to the TTS and RF models, the LSTM model demonstrates superior performance and generalization capabilities in streamflow prediction for 1–7 days, making it more suitable for practical applications in hydrological forecasting in the Haihe River Basin and similar regions. Overall, this study deepens our understanding of feature selection and machine learning models in hydrology, providing valuable insights for hydrological simulations under the influence of complex human activities.
The Process Feeding Investigation of the Stuff during the Formation of High Filled Pultrusion Manufactures
Authors: Kai Jian Ding
Published: May 2024

In this article the results of theoretical investigation of the process feeding fibers during the formation of high filled composites in pultrusion way are given. The main physical factors which influence on a section change of fiber are considered. It is developed a mathematical model describing a single fiber and their total as an isotropic material. An analytical dependence a concentration of fibers in prepared manufacture from a volume stuff in die entrance is obtained.
Research of Friction Properties of Greasings with Operational Additives
Authors: Kai Jian Ding
Published: May 2024

The paper presents results investigated a lubricating properties of SN 150 mineral base oil modified with exploitation preparations R-2000 (soft material based preparation), MOTOR LIFE (chemical preparation) and Acorox 880 (zinc preparation). The test was conducted using the T-02 tester (four ball apparatus).
New System of State Program Management in the Russian Federation
Authors: Solodova Elizaveta Anatolevna
Published: May 2024

The paper analyzes a new system for managing government programs in the Russian Federation. The topic is relevant, since government programs were previously implemented with imprecise goals, management was not fast and effective enough, and flexibility was low. The new system eliminated these problems. The final result of the article is not only an analysis of the new system, but also another proposed change that will further improve the new system, which was the goal of the study. The following research methods were used: description, analysis, synthesis.
The Main Directions of the Realization of Citizens' Rights to Social Services in the City of Moscow (Using the Example of the Moscow Longevity Project)
Authors: Bozhenko Anastasiia Valerevna
Published: May 2024

This article examines the legal framework for the implementation of social services in the city of Moscow for certain categories of citizens. It was noted that the Moscow Government paid special attention to social services for older people, and aimed not only at improving their living conditions, but also at expanding the capabilities of these people to independently provide for their basic living needs. The article also analyzes, on the basis of which it can be concluded that the main directions of the implementation of the Moscow Longevity project are to provide retired citizens living in Moscow with socio-medical, socio-pedagogical, socio-labor services free of charge in order to expand the capabilities of these people to independently provide their basic life needs.
Mekhanizmy povysheniia intellektual'nogo potentsiala kak predmet filosofskogo analiza
Authors: Abdurakhmonov Umidzhon Usmonovich
Published: May 2024

The intellectual potential of a society is explained not by the simple sum of individuals who make up its intellectual potential, but by the manifestation of a state of qualitative changes. Any attempt to measure intellectual potential using formulas leads to its consideration as a simple arithmetic sum. As a result of the activity of an individual, the qualitative state of the intellectual potential of society, the realization of its intellectual potential, apparently determine the level of development of society and all its subsystems: economic, ensuring the production of products, satisfying the material needs of people.
Razrabotka trebovanii k odezhde dlia zhenshchin v do- i poslerodovoi period
Authors: Umarova Sanavar Abdugafarovna
Published: May 2024

This article describes the basic requirements and functions of household clothing for women during pregnancy and in the postpartum period. And also what requirements are given for designing such clothes. Imported clothing before and after the period in our country is sold at a high price and our women cannot afford to buy such expensive clothes. The establishment of the production of such special clothes in our republic using local resources would make their pains cheap, which would allow the solution of problems and increase the economy of our country.
Planteamiento introductorio para estudiar la relación entre movilidad prolongada y diáspora: la experiencia haitiana
Authors: Arriola Vega Luis Alfredo
Published: May 2024

Este texto plantea la tesis de que existe una relación cercana entre un proceso de movilidad prolongada y la formación y crecimiento de una experiencia diaspórica haitiana. Este nexo tiene una larga historia, pero toma mayor relevancia a partir del éxodo causado por el terremoto que azotó Haití en enero de 2010, con una dispersión de su población que continúa actualmente a lo largo del continente americano. La base empírica para esbozar este planteamiento proviene de entrevistas realizadas con sujetos haitianos en Tapachula, Chiapas. Los resultados contribuyen a trazar un andamiaje que permita continuar estudiando la movilidad prolongada, incluidos sus momentos de inmovilidad (es decir, pausas, demoras, esperas, etcétera), vis a vis la experiencia diaspórica. Asimismo, se señala la necesidad de estudiar las articulaciones entre la reemigración y los lugares de destino temporales y permanentes que forman parte de la experiencia diaspórica haitiana en las Américas.
Influência da formulação do suco de Butia catarinensis no processo de pasteurização
Authors: MARTINS Josué Schneider , HERTZ Plinho Francisco , BINS Débora
Published: May 2024

Este trabalho teve como objetivo avaliar a influência da presença de suco de limão (Citrus limonia Osbeck)  e de açúcar na eficiência da pasteurização de suco de butiá (Butia catarinenses Noblick & Lorenzi). Para tanto, foram elaboradas três formulações distintas, variando a concentração de açúcar e de suco de limão. Posteriormente, as amostras foram tratadas termicamente a 80°C por 1 minuto. Os parâmetros avaliados foram o pH, teor de sólidos solúveis e a acidez total titulável das amostras, além das atividades enzimáticas relativas (AER) da peroxidase (POD) endógena das amostras antes e após o tratamento térmico. Os resultados de AER foram relativos à amostra sem tratamento térmico (Branco). Observou-se que a variação da formulação, sem o tratamento térmico, não influencou a AER. O processo de pasteurização das amostras que continham suco de limão e açúcar em sua formulação resultou na redução de 51,2% da AER. A maior redução da AER (60,6%) foi obtida na pasteurização da amostra que continha suco de limão, sem a adição de açúcar. A amostra que somente continha açúcar apresentou a menor redução da AER 15,4% em relação ao Branco. Os resultados sugerem que a formulação interfere na eficiência no processo pasteurização. Os dados indicam que a adição de açúcar pode diminuir a eficiência da pasteurização, enquanto que a adição de suco de limão bergamota pode aumentar a eficiência deste processo.
Peptidic Compound as DNA Binding Agent: In Silico Fragment-based
Design, Machine Learning, Molecular Modeling, Synthesis, and DNA
Binding Evaluation
Authors: Dastan Dara , Soleymanekhtiari Shabnam , Ebadi Ahmad
Published: May 2024

Background:

Cancer remains a global burden, with increasing mortality rates. Current
cancer treatments involve controlling the transcription of malignant DNA genes, either directly or
indirectly. DNA exhibits various structural forms, including the G-quadruplex (G4), a secondary
structure in guanine-rich regions. G4 plays a crucial role in cellular processes by regulating gene
expression and telomerase function. Researchers have recently identified G4-stabilizing binding
agents as promising anti-cancer compounds. Additionally, peptides have emerged as effective anticancer
pharmaceuticals due to their ability to form multiple hydrogen bonds, electrostatic interactions,
and van der Waals forces. These properties enable peptides to bind to specific areas of DNA
chains selectively. However, despite these advancements, designing G4-binding peptides remains
challenging due to a lack of comprehensive information.

Objective:

In our present study, we employed an in silico fragment-based approach to design G4-
binding peptides. This innovative method combines machine learning classification, molecular
docking, and dynamics simulation.

Methods:

AutoDock Vina and Gromacs performed molecular docking and MD simulation, respectively.
The machine learning algorithm was implemented by Scikit-learn. Peptide synthesis
was performed using the SPPS method. The DNA binding affinity was measured by applying spectrophotometric
titration.

Results:

As a result of this approach, we identified a high-scoring peptide (p10; sequence: YWRWR).
The association constant (Ka) between p10 and the ctDNA double helix chain was 4.45 ×
105 M-1. Molecular modeling studies revealed that p10 could form a stable complex with the G4
surface.

Conclusion:

The obtained Ka value of 4.45 × 105 M-1 indicates favorable interactions. Our findings
highlight the role of machine learning and molecular modeling approaches in designing new
G4-binding peptides. Further research in this field could lead to targeted treatments that exploit
the unique properties of G4 structures.
A Case Report of Invasive Lobular Carcinoma of Breast with Multiple
Gastrointestinal and Cutaneous Metastases
Authors: Bao Yuhan , Wang Jingbo , Xue Jie
Published: May 2024

Background::

The metastasis of primary breast invasive lobular carcinoma to the gastrointestinal tract and skin is a rare phenomenon, with the simultaneous
occurrence of both transfers being more uncommon.

Case Presentation::

This article reports a case of a patient with hormone receptor-positive, HER2-negative breast invasive lobular carcinoma with gastrointestinal tract
and skin metastases. The patient was assessed by a second-look ultrasound and diagnosed by subsequent ultrasound-guided needle biopsy.
Following endocrine therapy, a favorable effect was observed, with significant regression of the primary breast lesion, cutaneous metastases, and
gastrointestinal metastases.

Conclusion::

Patients with breast invasive lobular carcinoma should be alert to the possibility of breast cancer metastasis, even if there are no obvious symptoms
or signs, when they encounter rapidly progressive cutaneous nodules or plaques, or if they possess gastrointestinal abnormalities. For patients with
negative breast ultrasonography for the first time, after combining mammography, Contrast-enhanced Spectral Mammography (CESM) or
Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) examinations, if breast cancer is highly suspected, second-look ultrasound
is particularly crucial at this juncture, which is the key prerequisite for breast needle biopsy and obtaining the gold standard of pathology
Influence of Ceramic Wastes as a Recycled Coarse Aggregate with Different Maximum Sizes on the Concrete
Authors: Alshahwany Rana B. , Abdulkareem Omar M. , Shlla Riffa D.
Published: May 2024

Background

Natural raw resources needed for concrete construction are continuously being depleted as a result of infrastructure development that is increasing. As a result, waste material substitutes are highly favored because they adopt a sustainable strategy.

Objective

In this study, the possibility of substituting natural coarse aggregates with coarse aggregate made from ceramic wall tiles with three different maximum aggregate sizes (12.5, 19, and 25 mm) in three partial replacement levels of natural coarse aggregate by (25, 50, and 75%) was investigated.

Methods

Concrete's hardened density, compressive and splitting tensile strengths, ultrasonic pulse velocity, water absorption, and volume of permeable pores were all tested experimentally.

Results

Results indicated that with the increment of the maximum aggregate size, each of the hardened densities, the compressive and splitting tensile strengths and the rate of water absorption diminished while pulse velocity enhanced, regardless of the substitution rate of ceramic aggregate. However, for all maximum aggregate sizes, the mixture containing 25% ceramic coarse aggregate showed a small improvement in mechanical properties. Compared to the reference mixture, which had compressive strengths of 29.31, 38.73, and 47.13 MPa at 7, 28, and 90 days for the 12.5 mm maximum aggregate size, the improvement ratios were 8.9%, 3.7%, and 2.7% at 7, 28, and 90 days, respectively. Moreover, because of increased heterogeneity, internal bleeding, and the development of microcracks in the larger coarse aggregate sizes, concrete with lower ceramic coarse aggregate sizes has a stronger bond than that of the latter. Results also indicated that the mechanical performance of concrete mixtures having ceramic aggregate slightly improved with 25% ceramic coarse aggregate, then lowered in the mixtures with 50% and 75%, consecutively, at all ages. Concrete using ceramic aggregate displays a poor transition zone because of the improper binding between the paste and the coarse ceramic aggregate caused by the aggregate's porcelain texture. Additionally, the water absorption of concrete mixtures containing ceramic aggregate increased with the increase in the percentage of ceramic coarse aggregate.

Conclusion

The employing of ceramic waste aggregate was shown to contribute to sustainable development and a cleaner environment by producing sustainable concrete from the recycling of ceramic wastes. Each of the hardened density, compressive strength, splitting tensile strength, and water absorption of concrete mixtures decreased and the pulse velocity enhanced as the maximum aggregate size increased. The mechanical properties decreased at all ages in the mixtures containing 50 and 75% of the aggregate, whereas they slightly increased in the mixture containing 25% of the aggregate.
Relationship Between Anthropometric Attributes and Physical Fitness Levels in Young Male Portuguese Futsal players
Authors: Casanova Nuno , Willig Renata , Soares Denise , Marconcin Priscila , Goncalves Ana Sofia , Vieira Fernando , Flores Fabio , Serpa Joana
Published: May 2024

Background

Futsal demands lower limb power, repeated sprint ability, and technical prowess. Furthermore, anthropometric characteristics have been shown to influence physical capacities and sports performance and, thus, should be assessed alongside physical fitness levels to maximize performance.

Methods

This study aimed to investigate the potential correlations between anthropometric characteristics and physical fitness levels among young Portuguese male futsal players and to compare these attributes across two distinct age groups. Twenty-one male athletes from two age groups (Under-18: N=14 - 16.1 ± 0.6 years old; Under-15: N=7 - 13.7 ± 0.6 years old) were recruited to take part in this investigation. Anthropometric characteristics [body weight, height, body mass index (BMI), waist and hip circumference, and waist-to-hip ratio] were assessed, and participants performed three performance tasks (20-meter sprint, vertical and horizontal jump).

Results

Statistically significant differences regarding body weight (p=0.005), height (p=0.011), and hip circumference (p=0.036) were observed between age groups (Under-18 and Under-15), but no differences were found regarding performance tasks (all p≥0.736).

Conclusion

After analyzing the entire sample, BMI was found to be inversely correlated with horizontal (r=-0.51; p=0.03) and vertical (r=-0.64; p<0.001) jump performance, and waist-to-hip ratio was positively correlated with 20-meter sprint performance (r=0.70; p<0.001). These indicate a correlation between a higher BMI and waist-to-hip ratio with lower physical fitness levels.
KRESNA DAN DIALEKTIKA KEPEMIMPINAN
Authors:   Universitas Brawijaya, Rohman Muh. Fatoni , Wijayanti Jamila , Rizal Maulfi Syaiful , Hambali Hambali
Published: May 2024

Kresnayana is a narrative that has a solid foundation in the culture of the Indonesian people. One form of narrative about Sri Krishna is found in the reliefs of Penataran Temple. This epic has very deep values and meanings, one of which is the value of leadership. In order to convey and introduce these values to the younger generation (students), it is necessary to transform the form, from relief to a form of media that is more friendly for teenagers or students. The form chosen is ballet. This form was chosen not only because of the aesthetic aspect, but also considering the facilities and infrastructure available at the school. In order to prepare the ballet, a visual (relief)-text (manuscript) stage and a script-acting stage are needed.
ISOLATION AND CHARACTERIZATION OF YEAST FROM FERMENTED SEMERU ARABICA WINE COFFEE CHERRIES
Authors:   Universitas Brawijaya, Vivianinda Ange Risna , Nurcholis Mochamad ,   Universitas Brawijaya, Sriherfyna Feronika Heppy ,   Universitas Brawijaya, Maligan Jaya Mahar ,   Universitas Brawijaya
Published: May 2024

Wine coffee is fermented coffee cherries with a wine-like flavor and aroma. The purpose of this study was to isolate, characterize tolerantand thermotolerant yeast from Semeru Arabica wine coffee cherries and to determine the molecular identification of the selected yeast. In this study, the Semeru Arabica coffee cherries were fermented for 30 days.Yeast isolation was performed on samples collected each week during fermentation. The selected isolates were characterized for macroscopic and microscopic morphology, followed by ethanol and temperature tolerance analysis. The isolate with the most desirable characteristics, designated CW30, grew well at 30ºC but was sensitive to temperatures above 35ºC. The isolate grew well in media containing 5% ethanol but was sensitive to a 10% ethanol concentration. Based on nucleotide sequence analysis, CW30 exhibited 100% similarity with Candida ethanolica isolate 3-1-19.