Main Part Research Articles

Dorsal approach in laparoscopic extended left hemi-hepatectomy: A case series.

The utility of the dorsal approach has been reported for laparoscopic left hemi-hepatectomy. The aim of the present study is to show the usefulness of the dorsal approach for laparoscopic extended left-hemi-hepatectomy while ensuring safe identification of hepatic veins and dissection of the dorsal tumor margin. Tumors requiring extended left hemi-hepatectomy. After mobilization of the lateral sector and division of the Arantius plate, parenchyma above the Arantius plate is removed to expose the root of the middle hepatic vein and left hepatic vein. Each of these veins can be isolated separately either intra- or extra-hepatically. After removing the parenchyma on the cranial side of the left Glissonean pedicle continuous with the exposed hepatic veins, the left Glissonean pedicle is isolated using the Glissonean pedicle transection method. After division of the left hepatic vein and Glissonean pedicle, segment 4 (in which the main part of the tumor is commonly located) is dissected from the anterior plane of the paracaval portion of the caudate lobe by the dorsal approach, along with the hepatic hilum. Following dissection of the dorsal side of the tumor, and division of parenchyma from the anterior edge of the liver, the anterior Glissonean branches and middle hepatic vein are divided safely and the specimen is resected. Three patients underwent laparoscopic extended left hemi-hepatectomy, with no open conversions. Operative time and blood loss were 331 (concomitant with another partial hepatectomy), 277, and 315 minutes; and 200, 100, and 100 g, respectively. The postoperative courses were uneventful. The dorsal approach maximizes the advantages of laparoscopic extended left hemi-hepatectomy and can be performed safely.

An improved dynamic-layered classification of retinal diseases

<span>Retina is main part of the human eye and every disease shows the effect on retina. Eye diseases such as choroidal neovascularization (CNV), DRUSEN, diabetic macular edema (DME) are the main retinal diseases that damage the retina and if these damages are identified in the later stages, it is very difficult to reverse the vision for these retinal diseases. Optical coherence tomography (OCT) is a non-nosy image testing for finding the retinal diseases. OCT mainly collects the cross-section images of retina. Deep learning (DL) is used to analyze the patterns in several complex research applications especially in the disease prediction. In DL, multiple layers give the accurate detection of abnormalities in the retinal images. In this paper, an improved dynamic-layered classification (IDLC) is introduced to classify retinal diseases based on their abnormality. Image filters are used to filter the noise present in the input images. ResNet is the pre-trained model which is used to train the features of retinal diseases. Convolutional neural networks (CNN) are the DL model used to analyze the OCT image. The dataset consists of three types of OCT disease datasets from Kaggle. Evaluation results show the performance of IDLC compared with state-of-art algorithms. A better performance is obtained by using the IDLC and achieved the better accuracy. </span>

Первые леди в истории США: историко-библиографический обзор

The introduction of this article delves into the author’s contemplations on the role of the first ladies of US presidents in maintaining their image and electoral appeal. The author highlights that the general public’s lack of knowledge regarding the intelligence, education, mentality, and character of first ladies is an evident historical injustice. Currently, modern historians are actively rectifying this oversight. The purpose of the study is to analyze modern literature on the role and significance of first ladies in the history and political life of the United States and to provide a chronology of published biographical research on this issue in English-language and domestic historiography. The methodology employed is rooted in specialized historical research methods, including comparative-historical analysis, which allows for an exploration of research trends in this historical domain. Additionally, historical systemic and retrospective methods are employed, along with elements of the historical biographical method. The author’s historiographical analysis is founded on principles of historicism and historical objectivity. The materials used in the study are memoirs, biographical essays, documents, scientific monographs and articles, and Internet resources, including the official websites of the White House and the National First Ladies’ Library. The “Analysis” section contains the main part of the article’s text, that is, an analysis of literature and other sources, including autobiographies and memoirs of first ladies, interesting information about the authors of modern biographical studies, as well as the chronological order of published works of Englishlanguage and domestic authors. The results of the research are encapsulated in the author’s conclusions on the topic. It is determined that the historiography surrounding the role and significance of first ladies in American history is currently underdeveloped and, often, subjectively biased. Typically, more attention and subsequent publications are dedicated to the spouses of the most popular presidents, overshadowing other first ladies, even if they were remarkable individuals themselves.

The Syntactic Paradox “Single Sentence''

The article proposes a cognitive revision of sentence invariants with respect to the explication of main parts. Confusing `composition' and `structure' and bringing a morphological nomenclature of word classes to nominate invariants is a methodological problem. Extrapolation of terms from level to level adds contradiction to the categories and is a problem in the learning and acquisition of the language and its grammar. A cognitively correct sentence on this basis is one-component, subject or predicate, subject or predicate, but not one-component, because they are parts of the structure, not of the composition. The predicate sentence is always personal, but when it is expressed by a verb with a form in the third person only, i.e. in principle, there is no first and second position of the paradigm of this morphological category, it is subjectless.

TEACHER PROFESSIONAL COMPETENCE AND STAGES OF ITS FORMATION IN THE EDUCATIONAL INSTITUTION

The main part of the article is covered in detail about the stages of professional competence and their formation in qualification practice from future teachers in the field of pedagogy, as a result of the study of the subject, it was found that in this process there are several stages, and each of them has its own specific peculiarities.

INVESTIGATION OF THE EFFECT OF TEMPERATURE FIELDS OF DELAYED COKING REACTOR BODIES ON THE STRESS-STRAIN STATE OF THE MATERIAL

The article continues to explore the topic of damage to DCR (delayed coking reactors) or coke drums during operation. Based on the temporary localization of damage formation during the cooling stage, the most critical stage of the technological process during the operation of the DCR is determined and a damage mechanism is proposed in the form of the influence of an uneven temperature distribution over the DCR body. The description of method for studying the temperature field on the outer surface of the body of the DCR using original mobile temperature measuring devices is given. The results of research with data on the distributions and actual values of temperature differences along the outer surface of the body of the DCR during operation are presented. The DCR with a material design made of stainless steel was selected as the object of research. The case of damage in the form of cracking of the welded joint of the body during the operation of the DCR with the occurrence of a leak is considered. To justify the occurrence of damage in the form of corrugations, calculations of the stress-strain state (SSS) of the material of the body elements are carried out. The applied finite element complex «ANSYS» is used for calculations. As the initial data for SSS calculations, the results of studies of the temperature distribution over the outer surface of the DCR are used. During the calculations, it was found that at the cooling stage, the greatest stresses in the body material correspond to the level of the yield strength of the material and lead to irreversible plastic deformation with the occurrence of the process of accumulation of deformations (ratcheting process). A comparison is being made with data from foreign studies of the operating conditions of the DCR. As measures to prevent operational damage to the DCR, it is proposed to change the technical requirements for steels for the manufacture of main parts in terms of increasing the level of mechanical properties (tensile strength and yield strength). Recommendations are formulated on the material execution of the DCR, the design and manufacture of the DCR.

Stereolithographic Process for Embedding of Electronic Components into Multi-material Flexible and Stretchable Polymer Substrate to Reduce Stress During Stretching

The integration of rigid electronic components into stretchable materials is a complex challenge due to contrary material properties. This paper shows a novel approach for the embedding of electronic components into flexible and stretchable polymer substrates using a stereolithographic process that leads to stress reduction during stretching. The key factor is the multi-material printing with various elastic material properties. The paper shows a miniaturized packaged component (e.g. 0201 LED) in a flexible and stretchable substrate based on three different materials. The first material has rigid properties (stiffness 42.25 N/mm) and surrounds a small area of the LED with about 500 μm peripheral frame. The main purpose of this material is to round up the sharp edges of the LED to the next material. The second material is more elastic (stiffness 0.11 N/mm) and surrounds the first embedded LED. The purpose of the implementation of the second intermediate material is to spread the load between the LED and stretchable substrate caused by stretching. The third material has even higher elastic properties (stiffness 0.05 N/mm) and builds up the main part of the stretchable substrate (size of (4.5x34) mm2). After the fabrication of the multi-material substrate with the embedded LED, horseshoe conductive traces are screen printed with conductive paste. Finally, the embedded LED substrate with the conductive traces is cured at 125 °C. The final stretchable substrate with the embedded LED was able to stretch up to about 25 % for 30 cycles without disturbing the electrical function.

ALGORITHM FOR DETECTING HYDROCARBON LEAKS IN PIPELINE TRANSPORT WITH INTERMEDIATE REMOVAL OF PART OF HYDROCARBON

Currently, the main part of hydrocarbons consumed both in the Russian Federation and in the world as a whole is transported through pipelines. This type of transport has many advantages, however, despite this, problems arise during operation related to ensuring the integrity of the pipelines themselves and providing settlements located along the linear part with fuel using intermediate branches to local oil depots. It is worth noting that in this case there is a problem of ensuring constant and highquality monitoring of the state of the oil product pipeline-branch pipeline system, for which constant monitoring methods based on mathematical modeling are often used to solve, which make it possible to investigate the integrity without changing the pumping mode. However, in order to improve the accuracy of these methods, it is necessary to constantly improve existing or develop new mathematical models of pipeline systems.The main aim of the research. Improvement of mathematical modeling methods for detecting leaks or unauthorized tie-ins during intermediate scheduled discharges of hydrocarbons on the linear part of the main pipeline.Mathematical modeling of the operating mode of the technological section of the main pipeline, taking into account the discharge on the linear part, the need to regulate the operating modes of pumping stations.An algorithm has been developed to determine the location of a leak or illegal tie-in on a trunk pipeline with an intermediate branch to a local oil depot. A graph of the hydraulic slope line is constructed in the presence of damage to the integrity of the pipeline. A preliminary economic assessment of the damage to the supplier company from the loss of the pumped product was carried out.

The Impact and Integration of Artificial Intelligence in Human Resource Management: A Middle Eastern Perspective

This big study looks into how Artificial Intelligence (AI) and Human Resource Management (HRM) connect in the Middle East. In the area where technology is changing very quickly, the study wants to find out how AI integration is changing HR practices in this place. The main part of the study is carefully created surveys for HR people and experts in AI/CS. These aim to find out how AI is used now, what more can be done with it, and ethical questions around its use in HRM. The main results show that AI is drastically making human resources jobs like hiring new workers, managing their paychecks, and checking their performance easier. This lets people working in HR avoid boring tasks and concentrate on big roles. The study also looks into the problems and limits that come with using AI. These include thinking about what's right, keeping your data secret, and needing a human link in HR jobs. This study is very important because it looks at how AI makes HR better. It also shows the careful mix needed between using new technology and keeping people in mind. It gives a future outlook on how AI can change HRM in the Middle Eastern business scene. It offers helpful information for both people who work there and those studying it.

Nanocrystalline (Cu0.5Ni0.5)yFe3−yO4 Ferrites: Synthesis and Characterization

Nanocrystalline materials with the composition of (Cu0.5Ni0.5)yFe3−yO4 and a spinel structure were synthesized by the auto-combustion sol–gel method. The materials were characterized by powder X-ray diffraction, Mössbauer spectroscopy, transmission electron microscopy, X-ray photoelectron spectroscopy, and N2 physisorption. A decrease in the unit cell parameter and increase in the crystallite size with a decrease in the copper and nickel content in ferrites were evidenced. Mössbauer analysis determined that iron ions are in the 3+ states in all compositions. Transmission electron microscopy showed that synthesized ferrite materials consisted of nanoparticles with narrow size distributions. The catalytic properties of synthesized ferrites were studied in the reaction of ethyl acetate oxidation and methanol decomposition. The conversion of ethyl acetate and CO2 selectivity increased with temperature, and this effect was most pronounced for (Cu0.5Ni0.5)0.5Fe2.5O4, for which the main part of the particles possessed sizes below 10 nm, and the mean diameter was calculated to be 4.3 nm. The catalytic activity in the reaction of methanol decomposition was the highest for (Cu0.5Ni0.5)0.25Fe2.75O4, and it decreased with the increase in Cu and Ni content in the samples. The analysis of the samples after the catalytic test indicated significant reduction transformations within the catalysts. Under the reaction medium, the spinel phase decomposed through the formation of Hägg carbide.

The dimensions of the role of the educator in distance learning environments in covid19 era

The global pandemic that unfolded in recent years has left indelible marks on all aspects of daily life and social interactions. Universally, the prevalent form that dominated the Covid-19 era for the educational process at all levels was the use of teleconferencing and electronic communication tools. Educators of this new era have faced multiple and unexpected changes that have brought about transformations in their roles. For this reason, in Section 2, the multidimensional nature of the educator, as influenced by the pandemic, will be analyzed. Specifically, the second section of the main part will highlight the elements adopted during this period that will continue to shape future educational practices for achieving maximum learning outcomes. In contrast, the third section will address the key challenges faced by educators during the period of changes, as studied in the relevant literature. The fourth section of this work will provide a specific example for discussion, illustrating the difficulties that emerged from the challenges mentioned in the previous section. Finally, useful conclusions will be drawn from the literature review and the analysis of the subject.

Реєстр перкутанних коронарних втручань: зміни за останні роки (2010–2022)

In 2022, the number of coronary angiograms in Ukrainian clinics was 51 084, which is 27.6 % more than in 2019, the number of stented patients is 27 513 for all forms of coronary artery disease (scheduled and urgent patients), which is 19.7 % more than in 2019 year and 16 847 stenting were performed in STEMI patients in the first day from the onset of symptoms, which is 12.9 % more than in 2019.During the period of the Register operation, the fact of creation of 66 reperfusion centers was recorded, which are the main part of Regional Reperfusion Networks (RRN) and strive to function in accordance with national unified protocols for the treatment of STEMI, NSTEMI and stable coronary syndromes.Today, the distribution of patients by time from the onset of symptoms to mechanical reperfusion in Ukraine is distributed as follows: in the first 12 hours from the onset of STEMI symptoms, 85 % are present (15 % are «late» patients who are hospitalized at 12–24 hours from the onset of symptoms or later, often requiring urgent coronary angiography and possibly primary stenting). Patients arriving in the «ideal» period for reperfusion (in the first 2 hours) is about 15 %, the largest group of STEMI patients who arrived at the clinic in the first 2–4 hours from the onset of symptoms is 30 %, and the number of patients with AMI in the period of 4–6 hours from the onset of symptoms, the average is 25 %, and the 6–12-hour group completes the analysis by 15 %, respectively.The number of procedures in STEMI patients increased annually, which led to a decrease in hospital mortality in reperfusion centers (55–60 % of patients in catheterization laboratories in Ukraine are STEMI patients) to an average of 4.7 %, and in the general group of AMI in Ukraine to 12.3 %. Unfortunately, 40–45 % of patients are currently hospitalized in clinics without the possibility of primary stenting.A ten-year observation of the dynamics of primary stenting revealed changes, which we called the «reperfusion paradox», which occurred in 2015–2016, which fully confirmed the correct vector of technology development and determined the trend of its development. This phenomenon is the beginning of a natural decrease in the number of fibrinolytic procedures from 27 % (2010 year) to 4.6 % (2021 year), respectively, and an increase in the number of primary procedures in STEMI patients from 4.0 % (2010 year) to 56.4 % (2022 year), which is quite natural and confirms the processes of active development and systemic transformations in interventional cardiology in Ukraine and around the world.As a result, it was found that we have increased 17 times the number of primary percutaneous interventions per million population over the last decade, while European countries have increased the number of similar procedures by only 14 %. This fact indicates the correct direction of development and the speed of movement in this direction.

Exploring the reported adverse effects of COVID-19 vaccines among vaccinated Arab populations: a multi-national survey study

The coronavirus disease 2019 (COVID-19) pandemic has been a major challenge worldwide for the past years with high morbidity and mortality rates. While vaccination was the cornerstone to control the pandemic and disease spread, concerns regarding safety and adverse events (AEs) have been raised lately. A cross-sectional study was conducted between January 1st and January 22nd, 2022, in six Arabic countries namely Saudi Arabia, Egypt, Syria, Libya, Iraq, and Algeria. We utilized a self-administered questionnaire validated in Arabic which encompassed two main parts. The first was regarding sociodemographic data while the second was about COVID-19 vaccination history, types, doses, and experienced AEs. A multistage sampling was employed in each country, involving the random selection of three governorates from each country, followed by the selection of one urban area and one rural area from each governorate. We included the responses of 1564 participants. The most common AEs after the first and second doses were local AEs (67.9% and 46.6%, respectively) followed by bone pain and myalgia (37.6% and 31.8%, respectively). After the third dose, the most common AEs were local AEs (45.7%) and fever (32.4%). Johnson and Johnson, Sputnik Light, and Moderna vaccines showed the highest frequency of AEs. Factors associated with AEs after the first dose included an increase in age (aOR of 61–75 years compared to the 12–18 years group: 2.60, 95% CI: 1.59–4.25, p = 0.001) and male gender (OR: 0.72, 95% CI: 0.63–0.82, p < 0.001). The cumulative post-vaccination COVID-19 disease was reported with Sinovac (16.1%), Sinopharm (15.8%), and Johnson and Johnson (14.9) vaccines. History of pre-vaccination SARS-CoV-2 infection significantly increases the risk of post-vaccination COVID-19 after the first, second, and booster doses (OR: 3.09, CI: 1.9–5.07, p < 0.0001; OR: 2.56, CI: 1.89–3.47, p < 0.0001; and OR: 2.94, CI: 1.6–5.39, p = 0.0005 respectively). In conclusion, AEs were common among our participants, especially local AEs. Further extensive studies are needed to generate more generalizable data regarding the safety of different vaccines.

An Analysis of Medical Students’ Learning Experiences in Small Group-Based Teaching in Kurdistan Region-Iraq

Objective: This study aims to evaluate the learning styles, activities, and experiences of medical students within the context of small groupbased teaching in the Kurdistan Region of Iraq. Methods: A cross-sectional study was conducted between February and May 2022 at Zakho College of Medicine, involving students from various medical colleges in the region. A pre-designed questionnaire was administered both in-person and online. Comprising two main parts in addition to demographic information, the questionnaire assessed students' learning styles based on O'Brien's modality learning channel preference and their preferences and experiences in small-group settings. Results: The sample included students from the 1st to the 5th stage, totaling around 400 participants. The cohort was predominantly female (60.05%) and largely from the 2nd stage of medical education (55.03%). Visual Learning was the most common learning style, particularly among female students. Significant variations in learning styles were noted across different academic stages and universities. Small-group activities and formative assessments were generally favored. While most students were either "satisfied" or found it "natural" concerning group size, dissatisfaction was prominent regarding available teaching resources. Statistical analyses confirmed significant differences in learning styles, preferred teaching methods, and feelings about the learning environment. Conclusion: The study offers critical insights into the diverse learning preferences and experiences of medical students in small-group settings. Despite a general preference for Visual Learning and small-group activities, significant variations exist, warranting a nuanced approach to educational strategy. Given the diverse learning preferences and significant dissatisfaction with available resources, a multifaceted educational approach is recommended, including diverse teaching and assessment methods and increased investment in teaching resources.

Manufacturing process encoding through natural language processing for prediction of material properties

Knowledge of manufacturing processes is crucial to determine the final properties of a material, thus this work focuses on analyzing the relationship between final properties, chemical composition, and manufacturing process through data analysis. Furthermore, techniques of natural language processing are used to encode the manufacturing process as input in the neural network. The work consisted of two main parts: firstly, the relevant data was gathered, cleaned-up, and analyzed using statistical and probabilistic methods, K-means, and Principal Components Analysis (PCA), and secondly, a model was developed to predict elongation, yield, and tensile strength. Fully Connected Neural Network (FCNN) algorithms were used to build the aforementioned model. In addition, in order to avoid overfitting and evaluate the model dropout function and K-fold cross-validation are incorporated. Results demonstrated reasonable accuracy in elongation, yield, and tensile strength. Two cases of mechanical properties prediction of stainless steel alloy were presented, first, an existing alloy that was not in the training and test set, and second a suggestion of a new stainless steel alloy, which combines good YS, UTS, and Pitting resistance equivalent number (PREN). Additionally, it was considered an example from the TRIP family to showcase the tool’s versatility across various steel types.

Current study on interaction design in automotive intelligent cockpit

In recent years, with the rapid development of Internet communication digital technology represented by artificial intelligence, Internet of Things, big data, the human-computer interaction of automobiles has also been further developed, showing a new look. As the main part of automotive interaction design, the digital, intelligent and Internet-oriented characteristics of intelligent cockpit are becoming increasingly obvious, especially in recent years, the intelligent cockpit design of new energy vehicles has broken the traditional interaction mode of automobile cockpit in the era of industrial machinery, and more intelligent and immersive interaction design is adopted. And the cockpit of the car not only has a single function for driving, but also provides a space for leisure and entertainment for the driver. Key technologies and design cases of cockpits and its interaction design were sorted out and summarized, and then the problems that cockpits interaction design faces and its future development were analyzed in this paper.

QUALITY AND CONTINUITY OF PLASMA PROCESSING OF THE TOP SURFACE LAYER OF THE REDUCER DRIVING SHAFT

The method of repairing and restoring machine parts by plasma flow is one of the most advanced methods. Based on this, the article explains the superior indicators of plasma processing of the worn upper surface layer of the drive shaft of the reducer. It is noted that the internal structure of the general reducer consists of a combination of details. It is said that the drive shaft is the main part of the reducer that is subjected to the greatest load during operation. And in connection with the diametrical inner surface of the gear wheel and the top surface of the drive shaft, these surfaces are subject to wear in the process of vibration during operation. It is noted that a certain restoration method should be carried out for the worn part of the upper surface layer of the drive shaft. And this method is carried out to increase the physical-mechanical properties of the upper surface layer of the drive shaft. The restoration of the upper surface layer of the part (drive shaft) by the plasma method is explained. The coating formed on the upper surface layer of the drive shaft of the reducer as a result of diffusion increases the service life of this shaft. It is called from the vacuum-ion plasma method. And as a general result, plasma processing has a positive effect on the quality and durability of the wearable top surface layer of the reducer drive shaft. It is noted that this processing method is effective for strengthening the worn upper surface layer of the drive shaft of the reducer. Keywords: drive shaft, top surface layer, plasma processing, strength, quality, continuity.

Dynamic Analysis of Tip Leakage Phenomena in Axial Flow Pumps Using a Square-Cavity Jet Model

In the field of pump impeller studies, tip leakage flow (TLF) and the resultant tip leakage vortex (TLV) significantly influence hydraulic efficiency, cavitation, and noise generation. This paper builds a novel square-cavity jet model combined with Large Eddy Simulation (LES) technology to obtain precise the dynamic properties of the TLV, significantly simplifying the computational resources required for numerical simulations. The novel square-cavity jet model simplifies a single blade channel to a square-cavity, and then adds a longitudinal slit on the top wall of the square-cavity. The analysis of both instantaneous and time-averaged flow fields indicates that the interaction between the main flow and the jet is the primary source of TLV generation. This study successfully captures the formation process of the TLV and accurately reveals its turbulent coherent structures. The evolution of the TLV is divided into three main parts: the first part is the jet slot, predominantly characterized by negative vorticity flow. The second part is the TLV formation, which is mainly composed of significant negative streamwise vortices. The third part is the development of the TLV, where positive and negative vorticities begin to interact, resulting in a more complex overall structure. The entire evolution of the TLV phenomenon starts with a concentrated negative vortex, which, after breakdown, develops at a certain angle to the slot and continuously advances towards the sidewall, ultimately resulting in the formation of a large-scale intermingled group of small-scale positive and negative vortices. This research not only provides a new physical model for investigating the tip leakage phenomenon in axial flow pumps but also offers a powerful tool and methodology for future studies in similar complex flow domains.

Teaching Process for Modules in the Information Technology Major for Higher Students According to the Competency Approach

The first part of the article studies the concept of “competency” and approaches to competency, setting goals and output standards of the teaching process. The main part of the article focuses on analyzing the teaching process according to the competency approach, introducing the program content of the Information Technology knowledge block. The content of this program includes basic information technology, programming, operating systems, networks, databases, software, information security, artificial intelligence, web and mobile development, and management. projects, and cloud computing. The teaching process according to the competency approach is described in detail, starting from determining learning goals and output standards, followed by learning and practice. Using AI Chatbot and Website is recommended as an effective means of learning. Special emphasis is placed on student support through AI Chatbot, helping students to be autonomous and confident in the learning process. Diverse exercises and practices are provided to develop students’ abilities. Next is the testing and assessment step, emphasizing the importance of multi-dimensional assessment to ensure objectivity and fairness to test students’ knowledge and abilities. The last part of the article is to perfect the teaching process based on the competency approach in the Information Technology industry, with benefits such as the competency to personalize learning and develop learning competency for students.

Influence of Welsh Inversion and Agreement on English Syntax

Introduction. Ordering the space and time elements in Welsh independent clause, when the subject is formed from a noun, is accompanied by a rather specific agreement of these elements in number. In the grammars of Welsh one can find various classifications of noninverse and inverse sentences and, mostly, practical notions concerning the peculiarities of the agreement of the main parts. Theoretical explanations are meanwhile quite poor. Because it can be proposed, that the peculiarities of sentence organization in Welsh could influence the syntax of English – the language of international communication, the theme under discussion is rather topical.Methodology and sources. The investigation is carried out on the base of four Welsh grammars, containing large chapters on syntax. We also used a collection of texts, from which the examples of non-inverse and inverse sentences were taken. The methodological base of the work is the binomiality idea.Results and discussion. In non-inverse Welsh sentences, the predicate agrees with the subject in number only in case the subject is formed from a pronoun; in case the subject is formed from a noun, the 3-rd person singular is always used. In mixed and abnormal sentences, the word order becomes inverse. The investigation of explicit elements of subject and predicate has turned to be not sufficient, and we were forced to apply the hypothesis on implicitness, inexplicitness and ellipsis of some elements. In doing so, we managed to match the analytic tense in Welsh with the continuous tense in English. It was also suggested, that (emphatic) Welsh constructions can influence the structure of English sentence.Conclusion. In Welsh independent clauses, the weak space specifier can be modified by an implicit strong pronominal semifinitive, after what an implicit element in function of the space element reveals in the subject. Developing the hypothesis about the possible inexplicitness of fixed semifinitives in the Welsh subject, we can also assume that abnormal and mixed sentences in Welsh originate from the subordinate clause of a complex sentence. Within the framework of the general model, it turns out that the arrangement of space and time elements does not contradict the Indo-European system, which fully manifests itself in the English sentence.