Expansion Vector Research Articles

UN2CpolyG-mediated p65 nuclear sequestration suppresses the NF-κB-NLRP3 pathway in neuronal intranuclear inclusion disease

BackgroundNeuronal intranuclear inclusion disease (NIID) is genetically linked to CGG repeat expansion in the 5’-untranslated region of the NOTCH2NLC gene, with nascent polyglycine-containing protein (uN2CpolyG) identified as a primary pathogenic factor. Emerging clinical evidence suggests that inflammation contributes to NIID pathogenesis, yet the underlying molecular mechanisms remain elusive. This study aimed to elucidate the molecular interaction between uN2CpolyG and the NF-κB-NLRP3 pathway.MethodsSingle-cell RNA sequencing was conducted on the skin tissues of NIID patients to assess changes in the expression of genes involved in inflammatory pathways. Cell models (HEK-293T and U87-MG) transfected with CGG9/69/100 expansion vectors were used to investigate alterations in the NF-κB-NLRP3-autophagy pathway. Additionally, the therapeutic potential of NF-κB activators was evaluated in a Drosophila model with a CGG expansion knock-in.ResultsSingle-cell sequencing revealed a significant reduction in the expression of NFKBIA, encoding NF-κB inhibitor alpha (IkBa), which facilitates the nuclear translocation of p65, a key NF-κB component. uN2CpolyG directly interacted with and sequestered p65 in nuclear inclusions, leading to reduced phosphorylated p65 (p-p65) levels. This sequestration significantly downregulated the NF-κB-NLRP3 pathway, impairing autophagy, as indicated by decreased LC3II/LC3I ratios. Treatment of CGG100 cells with lipopolysaccharide (LPS) significantly increased p-p65, NLRP3, and LC3II/LC3I levels while reducing insoluble uN2CpolyG levels and intranuclear inclusions. In the Drosophila knock-in model, LPS significantly reduced the number of intranuclear inclusions and improved phenotypic manifestations.ConclusionsThis study revealed that uN2CpolyG directly interacts with and sequesters p65, thereby inhibiting the NF-κB-NLRP3 pathway and impairing autophagy. This mechanism highlights a novel therapeutic target for NIID and provides potentially broader insights into similar mechanisms in other neurodegenerative diseases characterized by misfolded protein aggregates.

Gravity as a vector of superfluid space and universe expansion

The curvature of space-time is replaced by the variable energy density of the timeinvariant superfluid space, where the variable energy density of space carries gravity. The gravity vector points in the direction from a higher energy density to a lower energy density. When light moves in the direction of the gravity vector, it causes a blue shift. When light moves in the opposite direction, it causes a redshift. The Doppler effect in an expanding space has not been experimentally confirmed. The cosmological redshift originates from the gravitational redshift. Universal space does not expand.

Cs2Mo5O16 and Cs2Mo7O22: crystallization, structural and thermal properties

Needle-like Cs2Mo7O22 (7*1*1 mm3) and plated Cs2Mo5O16 (4*3*2 mm3) crystals were obtained by spontaneous crystallization method from Cs2Mo5O16 + 2%Cs2O and Cs2Mo7O22 + 2%Cs2O melts. Peritectic nature of Cs2Mo5O16 and Cs2Mo7O22 compounds was confirmed by differential scanning calorimetry and thermogravimetric analysis. Cs2Mo5O16 and Cs2Mo7O22 crystal structures were constructed based on X-ray diffraction data. Unit cell parameters of Cs2Mo5O16 and Cs2Mo7O22 crystal samples were measured in 0-450 °C temperature range and thermal expansion vectors were calculated. Photoluminescence was registered on both Cs2Mo5O16 and Cs2Mo7O22 samples at 80 K.

Dynamic force identification considering modeling errors using modal expansion method and relevant vector regression algorithm

Accurate identification and estimation of external forces on launch vehicles, aircraft, and other in-service engineering structures plays a vital role in structural design and health monitoring. Considering structural modeling errors, this paper develops a novel force identification method based on modal expansion and relevant vector regression (RVR). Initially, the incomplete and noisy experimental modal data are used to modify the stiffness and mass matrices of the finite element (FE) model, reducing the impact of modeling errors on force identification accuracy. Subsequently, to account for noise disturbances and potential information about unknown initial conditions in the measured acceleration responses, the external forces and the unknown initial conditions are respectively expanded using trigonometric functions and the mode shapes based on the function fitting technique. On this basis, the force identification equation is established for the updated model. The RVR algorithm is integrated into modal expansion and force identification. Firstly, the mode shapes of the FE model are utilized to expand the incomplete and noisy experimental mode shapes to their full degree of freedom, significantly enhancing the accuracy of the model updating. Secondly, by combining the measured acceleration responses, the base coefficients can be solved sparsely, effectively identifying the dynamic forces even when unknown initial conditions are present.

Assessing the impact of urban expansion on carbon emission

Urban expansion is not only a driving force for economic growth and development but also a perilous element for anthropogenic carbon emission coinciding with population growth, urban expansion, land use pattern, urban sprawl. The study compares urban expansion and its impact on the carbon emission pattern for Rajshahi, a city of Bangladesh where land cover data is an important determinant. At first, the study aims to evaluate the pattern of urban expansion and the second step quantifies the carbon emission trend. The satellite images are used for land cover detection of urban expansion and Support Vector Machine (SVM) algorithm is applied for its classification. Similar carbon emission data are examined to relate carbon emission quantification rate by remote sensing algorithm. It indicates that urban expansion significantly explains carbon emission by comparing with similar secondary data to extract carbon emission and energy consumption. After accentuating urban expansion and carbon emission rate, the spatiotemporal pattern is analyzed in 16 different directions revealing that the urban expansion and emission trend expands to north-western and north-eastern directions of Rajshahi, turning it into a low carbon absorbed city. The responsible landmarks are real estate housing complex, educational institutions, student dormitories, industrial areas, brickfields and mango wholesale business. In order to understand the effects of uncontrolled urban expansion, this study will assist policymakers and urban planners in developing a comprehensive and well-organized strategy.

Use and Occupation of the Hydrographic Micro-Basin of Igarapé do Mariano in the Municipality of Manaus-Amazonas

Objective: To analyze the dynamics of the use and occupation of land based on the planning and sustainability of natural resources at the micro-basin of Igarapé do Mariano. Method: This study is characterized by a quali-quantitative approach based on field-collected primary data, followed by data treatment in a laboratory and data analysis in an office. It presents an exploratory nature, with research and information regarding a micro-basin. Results and conclusion: The urban expansion of Manaus advances towards the Mariano micro-basin, likely leading to an intensified use and occupation of land. The recent interventions on the routes and areas of leisure at the riverbed have been provoking negative environmental impacts that are typical of the urban micro-basins of Manaus, which have been and continue being destroyed as the city expands. Implications of the research: Based on the realizations from the analyses of the use and occupation of land, the research is expected to contribute to a planning policy for the territory, be it the Mariano micro-basin or other geographical areas. Originality/value: The study’s value lies on the peculiar location of the studied area, which is situated in the transition vector of urban expansion; on the lack of studies and of deeper information on the subject; on the use of a Remotely Piloted Aircraft in the field work for the photographic and aerophotogrammetric survey, which has proven to be an effective support for the study of the geographical area. All these aspects are of high relevance to the acquired knowledge and could potentially contribute to socioenvironmental actions.

Política de educação inclusiva em Portugal: implicações para a prática dos terapeutas ocupacionais

Abstract This essay aims to analyze the implications of the current value framework and inclusive education policies in Portugal for the practice of occupational therapists. Taking as starting point the need for a practice guided by the biopsychosocial model, a multitier model of services delivery, and the universal design for learning, we discuss reconfigurations needed for occupational therapists’ practice within the educational context. In such reflections, we oppose the established rehabilitation practices, which are individual (in resource rooms) and remedial, to the need of expanding occupational therapists’ actions towards environmental qualification, intervention in and with the school community, and preventive-oriented responses directed to the school as a whole. From these vectors of expansion, we highlight the need for structured approaches to collaborative work, participation-oriented assessment and intervention models, and preventive programs to promote successful participation in the entire school community.

Machine learning assisted construction of a shallow depth dynamic ansatz for noisy quantum hardware.

The development of various dynamic ansatz-constructing techniques has ushered in a new era, making the practical exploitation of Noisy Intermediate-Scale Quantum (NISQ) hardware for molecular simulations increasingly viable. However, such ansatz construction protocols incur substantial measurement costs during their execution. This work involves the development of a novel protocol that capitalizes on regenerative machine learning methodologies and many-body perturbation theoretical measures to construct a highly expressive and shallow ansatz within the variational quantum eigensolver (VQE) framework with limited measurement costs. The regenerative machine learning model used in our work is trained with the basis vectors of a low-rank expansion of the N-electron Hilbert space to identify the dominant high-rank excited determinants without requiring a large number of quantum measurements. These selected excited determinants are iteratively incorporated within the ansatz through their low-rank decomposition. The reduction in the number of quantum measurements and ansatz depth manifests in the robustness of our method towards hardware noise, as demonstrated through numerical applications. Furthermore, the proposed method is highly compatible with state-of-the-art neural error mitigation techniques. This resource-efficient approach is quintessential for determining spectroscopic and other molecular properties, thereby facilitating the study of emerging chemical phenomena in the near-term quantum computing framework.

Расширение семантического объема слова на примере прилагательного loyal

The article aims to study the semantic scope of the adjective loyal and define the vectors of its expansion in modern English. The research is based on etymological and explanatory dictionaries of the English language, contexts presented in the British National Corpus (BNC), Corpus of Contemporary American English (COCA), Corpus of US Supreme Court Opinions, NOW Corpus (News on the Web), Corpus iWeb (The 14 Billion Word Web Corpus), and authentic texts of mass media. The study of dictionary definitions at the present stage of the language development allows to identify the current meanings of the adjective loyal: ‘faithful’, ‘loyalist’, ‘devoted’, ‘trustworthy’, ‘permanent’, and ‘legal’. These meanings were verified by examples and contexts presented in English linguistic corpora, as well as in the mass media. The analysis of dictionary definitions, component analysis, etymological and contextual analyses, as well as the study of syntagmatic partners of the adjective loyal enable to reveal sixteen meanings: six of them are fixed by lexicographic sources, ten are differentiated on the basis of text fragments of linguistic corpora and Englishlanguage Internet content, seven of which are defined as connotative with a pronounced emotional and evaluative component. The empirical research deals with ten thousand contexts of linguistic corpora by means of continuous sampling method. All meanings of loyal are ranked in terms of their penetration and fixation in four areas of public life: economic, political, social and spiritual. The obtained data demonstrate the expansion of the lexeme loyal in all spheres. The final stage of the study focuses on the determination of the frequency of meanings in each area on the basis of the quantitative ratio with the total number of text fragments. The results show the spread of loyal by a small margin in three spheres of public life: economic, social and political which is due to the significant diversity of their components. The conducted research of the semantic volume of the adjective loyal makes it possible to reveal non-fixed meanings that are relevant for a wide range of spheres of public life: ‘reliable’, ‘real’, ‘systematic’, ‘persistent’, ‘true’, ‘fast’, ‘caring’, ‘fair’, ‘reasonable’, and ‘correct’. The emergence of new meanings associated with the development of social relations and connotative shades due to the emotional and evaluative human perception of reality, anthropomorphic metaphorical rethinking of ongoing changes has determined the essential vectors of expansion of the lexeme loyal in modern English.

Stem Cells Expansion Vector via Bioadhesive Porous Microspheres for Accelerating Articular Cartilage Regeneration.

Stem cell tissue engineering is a potential treatment for osteoarthritis. However, the number of stem cells that can be delivered, loss of stem cells during injection, and migration ability of stem cells limit applications of traditional stem cell tissue engineering. Herein, kartogenin (KGN)-loaded poly(lactic-co-glycolic acid) (PLGA) porous microspheres is first engineered via emulsification, and then anchored with chitosan through the amidation reaction to develop a new porous microsphere (PLGA-CS@KGN) as a stem cell expansion vector. Following 3D co-culture of the PLGA-CS@KGN carrier with mesenchymal stem cells (MSCs), the delivery system is injected into the capsule cavity in situ. In vivo and in vitro experiments show that PLGA-CS microspheres have a high cell-carrying capacity up to 1 × 104 mm-3 and provide effective protection of MSCs to promote their controlled release in the osteoarthritis microenvironment. Simultaneously, KGN loaded inside the microspheres effectively cooperated with PLGA-CS to induce MSCs to differentiate into chondrocytes. Overall, these findings indicate that PLGA-CS@KGN microspheres held high cell-loading ability, adapt to the migration and expansion of cells, and promote MSCs to express markers associated with cartilage repair. Thus, PLGA-CS@KGN can be used as a potential stem cell carrier for enhancing stem cell therapy in osteoarthritis treatment.

Accessing spiropiperidines from dihydropyridones through tandem triflation-allylation and ring-closing metathesis (RCM).

A novel approach to build 2-spiropiperidine moieties starting from dihydropyridones was developed. The triflic anhydride-promoted conjugate addition of allyltributylstannane onto dihydropyridones allowed for the formation of gem bis-alkenyl intermediates that were converted to the corresponding spirocarbocycles with excellent yields via ring closing metathesis. The vinyl triflate group generated on these 2-spiro-dihydropyridine intermediates could be successfully used as a chemical expansion vector for further transformations namely Pd-catalyzed cross-coupling reactions.

A method based on 3D affine alignment for the quantification of palatal expansion.

The current methodologies to quantify the palatal expansion are based on a preliminary rigid superimposition of 3D digital models representing the status of a given patient at different times. A new method based on affine alignment is proposed and compared to the gold standard, leading to the automatic analysis of 3-dimensional structural changes and to a simple numeric quantification of overall expansion vector and a better alignment of the digital models. 40 digital models (timing span delta 25.8 ± 12.5 months) from young patients (mean age 10.7 ± 2.6) treated with two different palatal expansion techniques (20 subjects with RME-Rapid Maxillary Expander, and 20 subjects with NiTiSE, NiTi self-expander) were superimposed with the new affine alignment technique implemented as an extension package of the open-source MeshLab, from a golden standard starting point of rigid alignment. The results were then compared. The new measurement function indicates a mean expansion expressed in a single numeric value of 9.3%, 10.3% for the RME group and 8.4% for the NiTiSE group respectively. The comparison with the golden standard showed a decrease to the average error from 0.91 mm to 0.58 mm. Affine alignment improves the current perspective of structural change quantification in the specific group of growing patients treated with palatal expanders giving the clinician useful information on the 3-dimensional morphological changes.

Vectors for updating the piano repertoire of a modern performer

Background. The article is devoted to the role of the piano repertoire as a determining factor in a musician’s career. It is determined that one of the factors of preserving the academic piano performance tradition in the 21st century was its adaptation to the modern conditions of a globalized society. In these new modern conditions, a pianist improving his skill must accumulate a large, diverse repertoire, constantly supplementing and expanding it. Objectives. The purpose of the article is to determine the vectors of expansion and renewal of the piano repertoire of a modern performer, in particular, in the educational process of student pianists (on the example of the experience of the special piano department of the Kharkiv I. P. Kotlyarevskyi Nationaly University). One of the main tasks of the article is the analysis of the lesser-known piano repertoire for its popularization and inclusion in the performing circuit. Methods. The methodology is based on a combination of historical, theoretical and psychoanalytical approaches to the study of performance as a special sphere of human creative activity. Results. The involvement of new modern technologies in the performing process will require even greater needs of the pianist for comprehensive deep education, based on knowledge of all achievements of musical art and culture in general. Therefore, this process should take place at all stages of a young pianist’s development. Conclusions. The following vectors of renewal and expansion of the piano repertoire of a modern pianist-performer are considered, such as: – addressing the «forgotten» piano music by restoring the undeservedly rejected names of composers of the past. Such actions will allow to develop the performers’ ideas about «already composed» stylistic directions in musical art, to review the genre and figurative composition of works, to find works that impress the performer himself. – expanding the creativity of a specific composer within the limits of the author’s works will provide an opportunity to «uncover» the unfamiliar faces of an artist already known to us, expand the idea of his work, reveal a more extensive genre palette of his work. – new music recently created by the composer remains the most painful problem, as the vast majority of young performers deliberately refuse to get to know the latest music. As a result, the majority of young pianists lack practical skills in interpreting modern music, the main difficulty of which arises, first of all, through the assimilation of the latest textural, timbre-register, and sound specificities of works. – the creation of a national cultural product is the most urgent need in Ukraine today. It is possible to state with confidence the increase of general interest in Ukrainian music not only in its homeland, but also in the world in general. Therefore, this vector has every prospect of successful development. The possibility of communication between performers and composers and obtaining «first-hand» instructions regarding the author’s idea and means of expression of the latest Ukrainian works is of great importance.

A truncated Davidson method for the efficient "chemically accurate" calculation of full configuration interaction wavefunctions without any large matrix diagonalization.

This work develops and illustrates a new method of calculating "chemically accurate" electronic wavefunctions (and energies) via a truncated full configuration interaction (CI) procedure, which arguably circumvents the large matrix diagonalization that is the core problem of full CI and is also central to modern selective CI approaches. This is accomplished simply by following the standard/ubiquitous Davidson method in its "direct" form-wherein, in each iteration, the electronic Hamiltonian operator is applied directly in second quantization to the Ritz vector/wavefunction from the prior iteration-except that (in this work) only a small portion of the resultant expansion vector is actually even computed (through the application of only a similarly small portion of the Hamiltonian). Specifically, at each iteration of this truncated Davidson approach, the new expansion vector is taken to be twice as large as that from the prior iteration. In this manner, a small set of highly truncated expansion vectors (say 10-30) of increasing precision is incrementally constructed, forming a small subspace within which diagonalization of the Hamiltonian yields clear, consistent, and monotonically variational convergence to the approximate full CI limit. The good efficiency in which convergence to the level of chemical accuracy (1.6 mhartree) is achieved suggests, at least for the demonstrated problem sizes-Hilbert spaces of 1018 and wavefunctions of 108 determinants-that this truncated Davidson methodology can serve as a replacement of standard CI and complete-active space approaches in circumstances where only a few chemically significant digits of accuracy are required and/or meaningful in view of ever-present basis set limitations.

Aspect Based Sentiment Analysis with FastText Feature Expansion and Support Vector Machine Method on Twitter

Social media such as Twitter has now become very close to society. Twitter users can express current issues, their opinions, product reviews, and many other things both positive and negative. Twitter is also used by companies to monitor the assessment of their products among the public as insight that will be used to evaluate what aspects of their products need to be further developed. Twitter with its limitation of only allowing users to post a maximum tweet of 280 characters will make a lot of abbreviated and difficult to understand words used, so it will allow vocabulary mismatch problems to occur. Therefore, in this paper, research conducted on aspect-based sentiment analysis of Telkomsel’s products from the aspects of signal and service by applying feature expansion using Fasttext word embedding to overcome vocabulary mismatch problem and classification with the Support Vector Machine (SVM) method. Sampling technique with Synthetic Minority Oversampling Technique (SMOTE) used to overcome data imbalance. The experimental results show that feature expansion can increase the performance of model. The final results obtained F1-Score value of the model for the signal aspect increased by 27.91% with F1-Score 95.93%, and for the service aspect increased by 42.36% with F1-Score 94.53%.

Phase I First-in-Class Trial of MCARH109, a G Protein Coupled Receptor Class C Group 5 Member D (GPRC5D) Targeted CAR T Cell Therapy in Patients with Relapsed or Refractory Multiple Myeloma

Phase I First-in-Class Trial of MCARH109, a G Protein Coupled Receptor Class C Group 5 Member D (GPRC5D) Targeted CAR T Cell Therapy in Patients with Relapsed or Refractory Multiple Myeloma

Философские исследования в Японии ХХI в. (направления, проблемы, концепции)

The article is focused upon the Japanese philosophical science progress over the last twenty years. The author identifies the most significant and widely debated problems during the given period, observes its principal directions and the most prominent works. The following topics are in the center of consideration: modern vision of philosophy as a science, peculiarity of understanding the phenomenon of life, undertaken within the framework of two interconnected integral ap­proaches, defined as “philosophy of life” (seimei tetsugaku) and “philosophy of coexistence” (kyosei tetsugaku), as well as the latest achievements and vectors of expansion in line with the main philosophical areas – phenomenology, analytical philosophy, traditions of the Kyoto school, and Marxism. This is the first attempt to provide general analysis of the latest Japanese philosophical works published after 2000. The interest in Japanese philosophy is dictated both by the existence of a rich philosophical tradition in this country, by the high level of modern philosophical works, that are beginning to be actively translated into Western languages and are increasingly attracting the attention of scholars over the world, as well as by the situation of social demand for philosophical literature in the do­mestic market, additional incentives to steer its development. The aim of the study is to reconstruct a more complete picture of modern philosophical thought, which is marked by lacunae due to the limited availability of a significant body of research published in national languages. Its practical importance lies in the accumulation of an information and creation of an ana­lytical base, allowing to provide orientations for the expansion of scientific cooperation with modern Ja­panese philosophers. The bibliography covers the most important vectors and significant personalities.

Efficient lentiviral transduction method to gene modify cord blood CD8+ T cells for cancer therapy applications

Adoptive T cell therapy utilizing tumor-specific autologous T cells has shown promising results for cancer treatment. However, the limited numbers of autologous tumor-associated antigen (TAA)-specific T cells and the functional aberrancies, due to disease progression or treatment, remain factors that may significantly limit the success of the therapy. The use of allogeneic T cells, such as umbilical cord blood (CB) derived, overcomes these issues but requires gene modification to induce a robust and specific anti-tumor effect. CB T cells are readily available in CB banks and show low toxicity, high proliferation rates, and increased anti-leukemic effect upon transfer. However, the combination of anti-tumor gene modification and preservation of advantageous immunological traits of CB T cells represent major challenges for the harmonized production of T cell therapy products. In this manuscript, we optimized a protocol for expansion and lentiviral vector (LV) transduction of CB CD8+ T cells, achieving a transduction efficiency up to 83%. Timing of LV treatment, selection of culture media, and the use of different promoters were optimized in the transduction protocol. LentiBOOST was confirmed as a non-toxic transduction enhancer of CB CD8+ T cells, with minor effects on the proliferation capacity and cell viability of the T cells. Positively, the use of LentiBOOST does not affect the functionality of the cells, in the context of tumor cell recognition. Finally, CB CD8+ T cells were more amenable to LV transduction than peripheral blood (PB) CD8+ T cells and maintained a more naive phenotype. In conclusion, we show an efficient method to genetically modify CB CD8+ T cells using LV, which is especially useful for off-the-shelf adoptive cell therapy products for cancer treatment.

Reliability-based topology optimization framework of two-dimensional phononic crystal band-gap structures based on interval series expansion and mapping conversion method

• The NRBTO scheme is presented for PnCs where the interval series expansion and adjoint vector methods are then utilized to obtain design sensitivity expressions. • A mapping conversion method is proposed to eliminate the gray-scale elements when relatively coarse grids are used. • The maximum band-gap with a specific frequency region and a filling fraction is obtained while ensuring reliability requirements considering the uncertainty in the optimization parameters. In this study, a non-probabilistic reliability-based topological optimization (NRBTO) method is investigated for the optimized design of the band-gap structure of two-dimensional phononic crystals (PnCs), in which unknown but bounded (UBB) uncertainty issues from the material uncertainty are taken into account. A measurement metric is first defined based on the interval set-theoretical model, which may transform the band-gap setting into a non-probabilistic reliability format. The interval series expansion and adjoint vector methods are then utilized to obtain design sensitivity expressions between frequency measures and design variables. The method of moving asymptote (MMA) is adopted as well to iteratively solve the reliability-oriented band-gap optimization problem for PnCs. To effectively tackle the gray-scale units, a mapping conversion method is involved eventually. The usage and validity of the present methodology are verified through three examples, and numerical results show that considering the uncertainty effect of UBB throughout the topology optimization process has an important impact on the final layout scheme. Additionally, the optimization of the out-of-plane modes of PnCs (both the band-gap upper bound and the filling rate constraint are considered) indicates that the topological configuration may always change accompanied with the filling rate increases.

Пульсация потенциала общей точки трехфазной и пятифазной обмоток двигателя относительно «нуля» преобразователя

The aim of the study is to determine the parameters characterizing the ripple of a motor's three- and five-phase windings common point potentials (for the star winding connection diagram) with respect to the converter zero point. One of the reserves for decreasing electromagnetically induced vibration of an electric motor with a rotating field is to increase the number of working winding phases. The study subject is a five-phase motor winding connected to a bridge converter, namely, its ability to reduce electromagnetically induced vibration in comparison with that in using a three-phase winding. The common point potential ripple parameters are studied, and an approach is proposed to estimating the amplitude modulation of the space-time voltage vector of three- and five-phase windings under the influence of the common point potential ripple with respect to the converter zero point. Theoretical studies were carried out using the Fourier series expansion method and vector analysis methods. To confirm the theoretical results, experimental studies of the prototypes of three-phase and five-phase synchronous motors with inductors made on the basis of permanent magnets were carried out. The main results have shown the following. With increasing the number of phases of the rotating field motor working winding connected to a bridge converter, the common point potential ripple amplitude with respect to the converter zero point decreases, and the ripple frequency increases. The product of ripple amplitude by frequency remains unchanged. It is assumed that the common point potential ripple of the motor multiphase winding with respect to the converter zero terminal results in the amplitude modulation of the space-time voltage vector. With increasing the number of winding phases, the modulation amplitude decreases, and the modulation frequency increases. A five-phase motor has a lower level of the working winding common point potential ripple with respect to the converter zero point in comparison with a three-phase motor. Thus, it can be assumed that there will be a lower level of electromagnetically induced vibration in using a simple converter operation algorithm. The obtained results can be used in designing electric traction systems with vector control on the basis of multiphase motors. With increasing the number of phases, the common point potential ripple amplitude in a multiphase winding with respect to the converter zero point decreases, and the ripple frequency increases. Thus, the common point potential ripple amplitude in a five-phase winding is 5/3 times less than that in a three-phase winding, and the ripple frequency increases by 5/3 times, respectively. With increasing the number of working winding phases, the amplitude modulation of the resulting space-time voltage vector decreases. This circumstance has a positive effect on decreasing the electromagnetically induced vibration.