Connectivity Problems Research Articles

FEATURES OF LITERARY MODELING OF THE EAST IN THE WORKS OF MYKHAILO STARYTSKYI

The article, based on the historical and literary approach and the systematic research paradigm, examines aspects of the work of Mykhailo Staritskyi, namely, oriental motifs in his work, their literary modeling. The main research method is literary analysis within the framework of a systems approach. The results and conclusions of the research open up new opportunities in the study of issues of the theory and history of literature, in particular the problems of genre, historicism, and inter-literary connections; in the formation of new approaches to understanding the legacy of M. Starytskyi and his place in the Ukrainian literary process of the end of the end of 19th century – beginning of 20th century; in new theoretical and concrete-historical studies on the history of Ukrainian literature, in the field of comparative studies.

Feasibility and acceptability of an adapted peer-based walking intervention for adults with moderate-to-severe traumatic brain injury

Purpose To examine the feasibility and acceptability of a 6-week peer-based walking intervention for adults with moderate-to-severe TBI with telehealth supports. Materials and methods Pre-post feasibility trial with 18 community-dwelling adults (10 men; 8 women) with moderate-to-severe TBI aged 21–61 years (M = 40.6, SD = 11.3). Feasibility outcomes included participation, attrition, safety across 12 90-minute sessions, and telehealth platform quality. Acceptability outcomes included program satisfaction. Exploratory outcomes included daily step count with activity trackers and pre-post intervention questionnaires (mood, leisure satisfaction, exercise self-efficacy, quality of life) through video conferencing. Results 15/18 (83%) participants completed ≥ 9 sessions (75%). Three participants were lost to attrition. No major adverse events reported. Minor events included fatigue and muscle soreness. Participants reported high satisfaction (M = 9.2/10, SD = 0.9). Average weekly steps per day rose from 10,011 to 11,177 steps (12%). Three participants’ step count data were not included due to tremors or forgetting to wear the device (≥ 9 days). One major and several minor connectivity problems occurred. Wilcoxon Signed Ranks tests identified a significant change in negative affect (p < 0.002). Conclusions Findings support the feasibility and acceptability of a 6-week peer-based walking intervention with telehealth supports for our sample.

Online Classes: A New Beginning Due to Continuous Spread of Covid-19 – How Students See them?

The Covid-19 pandemic which currently is in the third calendar year started in late 2019 and by early 2020 spread all over the world. By the end of April 2020 most of the countries have closed the schools and universities following severe lockdowns. Schools and Universities took on themselves to continue imparting the education to save one year of the student’s educational life. This was done through using various online platforms. The impact of imparting education through digital platforms have been the focus of this article. The data was collected from students from schools to university doctoral level scholars about their views on online classes. The promising outcome has been that students though have faced difficulties on various fronts on using online classes, from connectivity problem to data speed have accepted the digital platforms as a mode of teaching and learning.

A MILP model and a heuristic algorithm for post-disaster connectivity problem with heterogeneous vehicles

A MILP model and a heuristic algorithm for post-disaster connectivity problem with heterogeneous vehicles

Phenotypic and mutational spectrum of 17 Chinese patients with Menkes Disease.

Menkes Disease (MD) is a fatal X-linked recessive disorder caused by mutations in the ATP7A gene. Severe cases typically die before the age of three. Mild MD and occipital horn syndrome are variants of MD characterized by a less severe phenotype and longer survival. This case series aims to validate previous findings, expand the clinical phenotype, identify novel ATP7A mutations of MD patients. Observational data with follow-up were collected from 17 genetically diagnosed Chinese MD patients. All 17 patients exhibited neurological symptoms, including delayed motor milestones (100%) and seizures (58.8%). Unspecific pregnancy or delivery complications occurred in 9 patients (52.9%). The most prevalent connective tissue problems were abnormal hair (76.5%), followed by skeletal and dental abnormalities (52.9%), skin problems (41.2%) and hernia (35.3%). Sensorineural hearing loss (17.6%) was previously unreported. Coronary artery aneurysm and patent foramen ovale (5.9%) were infrequent. One 16-year-old boy carries pathological exon 3-4 deletion, presents novel mild phenotype including short stature and cerebellar ataxia. Out of 13 patients with follow-up (median: 24 months), 7 patients (53.8%) died with median survival of 40 months (range: 21-48 months), 3 patients (23.1%) show severe motor development delay and 2 (15.4%) have refractory epilepsy, only the mild MD patient shows improved cerebellar ataxia. Sixteen ATP7A mutations were identified including 6 small indels (37.5%), 5 nonsense mutations (31.2%), 2 missense mutations (12.5%), 2 exon deletions (12.5%), and 1 splice site mutation (6.25%). Fourteen mutations were novel. Our study further broadens the phenotypic and genotypic spectrums of Menkes disease.

A characterization for fuzzy strong cut vertices and fuzzy strong cut edges

Cut vertices and cut edges are valuable for analyzing connectivity problems in classical graph theory. However, they cannot deal with certain fuzzy problems. In order to solve this problem, this paper introduces the definitions of fuzzy strong cut vertices and fuzzy strong cut edges, and characterizes fuzzy strong cut vertices and fuzzy strong cut edges in fuzzy trees, complete fuzzy graphs, and fuzzy cycles. Finally, practical applications verify the effectiveness of the theory in network stability analysis.

Teachers' coping strategies in mitigating remote learning-related distress during Covid-19 pandemic

The sudden shift to remote learning during the Covid-19 pandemic has brought much distress to teachers. Since the teachers are considered as the major force that facilitates the learning process, their well-being should be given importance. The study used a survey research design to determine the level of distress among private school teachers in San Pablo City, Philippines, using the Covid-19 Peritraumatic Distress Index (CPDI). It also analyzed the sources of distress and examined the different coping strategies the teachers are using to mitigate the distress related to remote learning. Results show that the majority of the respondents are experiencing distress, with most having mild-moderate distress, followed by severe distress. Preparation of learning materials, internet connectivity problems, limited teacher-student interaction, assessment of student's learning, tracking student's progress, inconducive working environment, and inadequate technical skills were identified as sources of distress. Most respondents prefer coping strategies that would promote their overall wellness and those activities that avoid the source of distress. These findings have implications for school owners and administrators, policymakers, and curriculum developers in addressing the needs of teachers by providing programs that would help them cope with the distress related to remote learning.

Parameterized Complexity of Streaming Diameter and Connectivity Problems

We initiate the investigation of the parameterized complexity of Diameter and Connectivity in the streaming paradigm. On the positive end, we show that knowing a vertex cover of size k allows for algorithms in the Adjacency List (AL) streaming model whose number of passes is constant and memory is O(logn)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathcal {O}(\\log n)$$\\end{document} for any fixed k. Underlying these algorithms is a method to execute a breadth-first search in O(k)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathcal {O}(k)$$\\end{document} passes and O(klogn)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathcal {O}(k \\log n)$$\\end{document} bits of memory. On the negative end, we show that many other parameters lead to lower bounds in the AL model, where Ω(n/p)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\Omega (n/p)$$\\end{document} bits of memory is needed for any p-pass algorithm even for constant parameter values. In particular, this holds for graphs with a known modulator (deletion set) of constant size to a graph that has no induced subgraph isomorphic to a fixed graph H, for most H. For some cases, we can also show one-pass, Ω(nlogn)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\Omega (n \\log n)$$\\end{document} bits of memory lower bounds. We also prove a much stronger Ω(n2/p)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\Omega (n^2/p)$$\\end{document} lower bound for Diameter on bipartite graphs. Finally, using the insights we developed into streaming parameterized graph exploration algorithms, we show a new streaming kernelization algorithm for computing a vertex cover of size k. This yields a kernel of 2k vertices (with O(k2)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathcal {O}(k^2)$$\\end{document} edges) produced as a stream in poly(k)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ ext {poly}(k)$$\\end{document} passes and only O(klogn)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathcal {O}(k \\log n)$$\\end{document} bits of memory.

DID THE AUTHOR OF THE TALE OF IGOR’S CAMPAIGN KNOW THE CHRONICLE NARRATIVES ABOUT THE CAMPAIGN OF 1185? PART TWO

The article is devoted to the problem of textual connections between The Tale of Igor’s Campaign and the narratives about the campaign of Prince Igor in 1185, which are part of the chronicles of the Laurentian group and the Ipatiev Chronicle. Hypotheses and opinions belonging to various scholars are examined in detail: the idea of the absence of such connections, the assumption of the primacy of The Tale in relation to the narrative from the Ipatiev Chronicle, the statement of the secondary nature of the “song” about Igor’s campaign in relation to both narratives. The subject of attention is primarily the overview of concepts by P.E. Vadenyuk, I.P. Khrushchov, V.N. Peretz, A.A. Zimin, B.A. Rybakov, V.Yu. Franchuk, B.I. Yatsenko, L.V. Sokolova, A.N. Uzhankov. As a result of a critical analysis of the existing hypotheses and a comparative analysis of The Tale and two narratives, it is proved that this literary monument is secondary in relation to the narrative contained in the chronicles of the Laurentian group (apparently, to its core as part of the hypothetical Pereyaslav or Chernigov chronicles), and is primary in relation to the text of the narrative from the Ipatiev Chronicle. The idea of the dependence of The Tale of Igor’s Campaign on the narrative of the Laurentian group is assessed as quite convincing, and considerations in favor of the version of the secondary nature of The Tale in relation to the narrative of the Ipatiev Chronicle are recognized as contradicting the facts: the nature of the references to the Kayala River and the sea in both texts indicates that the chronicle was not the source of The Tale, but, on the contrary, the “song” influenced the chronicle narrative. The findings support the early dating of the Tale of Igor’s Campaign (mid to second half of the 1180s) and are indirect arguments in favor of the authenticity of the “song”.

DID THE AUTHOR OF THE TALE OF IGOR’S CAMPAIGN KNOW THE CHRONICLE NARRATIVES ABOUT THE CAMPAIGN OF 1185? PART 1

The article is devoted to the problem of textual connections between The Tale of Igor’s Campaign and the narratives about the campaign of Prince Igor in 1185, which are part of the chronicles of the Laurentian group and the Ipatiev Chronicle. Hypotheses and opinions belonging to various scholars are examined in detail: the idea of the absence of such connections, the assumption of the primacy of the Tale in relation to the narrative from the Ipatiev Chronicle, the statement of the secondary nature of the ‘song’ about Igor’s campaign in relation to both narratives. The subject of attention is primarily the overview of concepts by P.E. Vadenyuk, I.P. Khrushchov, V.N. Peretz, A.A. Zimin, B.A. Rybakov, V.Yu. Franchuk, B.I. Yatsenko, L.V. Sokolova, A.N. Uzhankov. As a result of a critical analysis of the existing hypotheses and a comparative analysis of the Tale and two narratives, it is proved that this literary monument is secondary in relation to the narrative contained in the chronicles of the Laurentian group (apparently, to its core as part of the hypothetical Pereyaslav or Chernigov chronicles), and is primary in relation to the text of the narrative from the Ipatiev Chronicle. The idea of the dependence of The Tale of Igor’s Campaign on the narrative of the Laurentian group is assessed as quite convincing, and considerations in favor of the version of the secondary nature of The Tale in relation to the narrative of the Ipatiev Chronicle are recognized as contradicting the facts: the nature of the references to the Kayala River and the sea in both texts indicates that the chronicle was not the source of The Tale, but, on the contrary, the ‘song’ influenced the chronicle narrative. The findings support the early dating of The Tale of Igor’s Campaign (mid to second half of the 1180s) and are indirect arguments in favor of the authenticity of the ‘song’.

Designing an Autonomous Mobility-on-Demand Service for Transit Last-Mile Access

Public transportation has the potential to provide a safe, convenient, affordable, and eco-friendly mobility service. However, because of its fixed routes and limited network coverage, it is sometimes difficult or impossible for passengers to walk from a transit stop to their destination. This inaccessibility problem is also known as the “transit last-mile connectivity problem.” Such a lack of connectivity can force travelers to drive, consequently increasing vehicle ownership and vehicle miles traveled (VMT) on the roads. The autonomous mobility-on-demand (AMoD) service, with characteristics such as quick fleet repositioning and demand responsiveness, has the potential to provide last-mile coverage where fixed-route transit can only provide limited coverage. This study aims to address the last-mile problem by developing an online demand-responsive AMoD service integrated with fixed-route transit. A linear time-delay dynamical system is proposed to model the AMoD system, and a model predictive control methodology is adopted to regulate the system around an equilibrium point with minimum vehicle rebalancing. To assess the impact of this new mobility service on travel demand, a simulation study is developed and integrated with a mode choice model capturing a combined transit-AMoD model. The experiment results reveal the potential to enhance transit efficiency, reduce VMT, and accommodate the increased transit demand while maintaining the quality of service.

Connection strength analysis for composite fuselage gate structures of civil aircraft

Civil aircraft boarding gate is an important channel for passengers to enter and exit the aircraft, and is also an important part of the aircraft structure, with the function of maintaining cockpit pressure. Traditional boarding doors are made of metal, and with the large number of composite materials used in the bearing structure of civil aircraft, composite boarding doors are also used in new civil aircraft. The strength of the connection inside the new composite boarding gate is related to the safety of passengers and crew. This paper focuses on the connection problem of the internal structure of composite boarding gate, aiming to analyze its connection strength under working conditions. This paper establishes a real finite element model of the boarding gate according to the loading condition and force transmission characteristics of the civil aircraft door and analyzes the connection strength of the structure such as the skin and the transverse and longitudinal beams, the skin and the side frame, the transverse and longitudinal beams connection, and the stop block in turn. The study shows that the strength of the connecting structures of the boarding gate designed by using composite materials is reasonable and can meet the service requirements of the boarding gate, thus demonstrating the rationality of the boarding gate structure designed with composite materials.

Distributed Adaptive Formation Tracking for a Class of Uncertain Nonlinear Multiagent Systems: Guaranteed Connectivity Under Moving Obstacles.

This article explores a guaranteed network connectivity problem during moving obstacle avoidance within a distributed formation tracking framework for uncertain nonlinear multiagent systems with range constraints. We investigate this problem based on a new adaptive distributed design using nonlinear errors and auxiliary signals. Within the detection range, each agent regards other agents and static or dynamic objects as obstacles. The nonlinear error variables for formation tracking and collision avoidance are presented, and the auxiliary signals in formation tracking errors are introduced to maintain network connectivity under the avoidance mechanism. The adaptive formation controllers using command-filtered backstepping are constructed to ensure closed-loop stability with collision avoidance and preserved connectivity. Compared with the previous formation results, the resulting features are as follows: 1) the nonlinear error function for the avoidance mechanism is considered an error variable, and an adaptive tuning mechanism for estimating the dynamic obstacle velocity is derived in a Lyapunov-based control design procedure; 2) network connectivity during dynamic obstacle avoidance is preserved by constructing the auxiliary signals; and 3) owing to neural networks-based compensating variables, the bounding conditions of time derivatives of virtual controllers are not required in the stability analysis.

ҚОРАҚАЛПОҚ АДАБИЁТИДА ЖАНРЛАР СИНТЕЗИ

In the article was studied the problem of connection with dramatic and epic genre in literature og Karakalpak.

Opportunities and Challenges for the Implementation of Online and Offline Learning in Social Studies Teaching Material Development Courses

After Covid-19 pandemic, online learning has become so important and urgent, while offline learning has become very much needed because of its role in shaping the character of students. This article aims to discuss opportunities and challenges in the implementation of online and offline learning in the Social Studies Teaching Material Development course. This research is qualitative research with a case study approach. Data collection techniques use data triangulation, namely data from interviews, observations and reflection sheets. The results show that online learning offers flexibility of time and place, accessibility to various digital learning resources, and the ability to document course materials more easily. However, the challenges faced include limited technology infrastructure, internet connectivity problems, and lack of face-to-face interaction that can reduce the quality of discussion and understanding of the material. On the other hand, offline learning provides more effective in-person interaction to build social and communication skills, as well as providing opportunities for hands-on practice. The main challenge in offline learning is the limited time and space, energy and costs incurred due to the distance between the learning space and the residence of students. The study concluded that a combination of these two methods, known as blended learning, can be an optimal solution to overcome the shortcomings of each method. The application of a blended learning model can increase the effectiveness and efficiency of learning in the Social Studies Teaching Material Development course by utilizing the advantages of both approaches. Therefore the result of this research are valuable insights for lecturers, students, and higher education managers in developing learning strategies that are adaptive and responsive to the challenges of the times.

Online Learning for a Tribal Child During the Pandemic: A Study from Jammu and Kashmir in India

The present study was conducted on the perceptions of tribal children toward online learning during the COVID-19 pandemic. The objectives of the present study were to find out the perceptions of tribal children about online learning during the pandemic. The data was collected from the tribal children of the Doda district of Jammu and Kashmir. The investigator collected data from the 100 tribal children of elementary schools which includes (50 male and 50 female tribal children). The data were collected with the help of a self-made questionnaire. The interpretation of data was done with the help of percentage analysis of statistical techniques. The finding of the study revealed that overall, the majority of tribal children have a very negative attitude towards online learning during the pandemic. Almost the majority of tribal children do not like the online learning system. At the same time, the tribal children preferred and considered on-school education more effective and successful than online learning. The study also states that the tribal children faced a lot of challenges and problems in their education during the pandemic. These challenges and problems include internet connection problems, electricity problems, financial problems, lack of technological skills among tribal children, etc. Overall, a greater number of tribal children are of the view that online learning does not fulfill their learning satisfaction level.

Perancangan Jaringan Pada Client Server Menggunakan Aplikasi Cisco Packet Tracer

Currently, the development of computer networks is progressing rapidly. Along with this, user demands for network quality are increasing, both LAN and WAN. Computer networking is the transmission of data (data communication) from the source computer (sender) to the destination computer (receiver) in the form of bits on the sending medium. The Cisco Packet Tracer application allows you to use simulated network data to provide information about the connectivity status of computers on your network when network connectivity problems occur. The method used is to look for references from various internet sources such as Google and YouTube. Simulate your network system using the Cisco Packet Tracer application. Cisco Packet Tracer is network simulator software introduced by Cisco Systems which functions as a learning, training and research medium for computer network simulations.

Response Surface Methodology Optimization of Resistance Welding Process for Unidirectional Carbon Fiber/PPS Composites.

The use of thermoplastic composites (TPCs) as one of the lightweight solutions will inevitably encounter problems in connection. Resistance welding has the characteristics of high strength, simplicity, and high reliability, and is considered a very potential hot-melt connection technology. The resistance welding technology of unidirectional carbon fiber-reinforced polyphenylene sulfide composites (UCF/PPS) was systematically studied. The experimental results show that the 100-mesh brass mesh has the best resin wetting effect and heating efficiency, and the PPS/oxidized 100-mesh brass mesh composite resistance element (Ox-RE/PPS) has the highest welding strength. The welding failure mode changes from interface failure and RE failure to interlayer structure damage and fiber fracture. The single-factor experimental results show that the maximum welding strength is reached at 310 °C, 1.15 MPa, and 120 kW/m2. According to the conclusion of the single-factor experiment, the Box-Behnken method was further used to design a three-factor, three-level experiment, and a quadratic regression model was established according to the test results. The results of variance analysis, fitting curve analysis, and perturbation plot analysis proved that the model had high fitting and prediction abilities. From the 3D surface diagram analysis, the influence of power density is the largest, and the interaction between welding temperature and power density is the most significant. Combined with the analysis of Design Expert 13 software, the optimal range of process parameters was obtained as follows: welding temperature 313-314 °C, welding pressure 1.04-1.2 MPa, and power density 124-128 kW/m2. The average strength of resistance welding joints prepared in the optimal range of process parameters was 13.58 MPa.

An attention mechanism module with spatial perception and channel information interaction

In the field of deep learning, the attention mechanism, as a technology that mimics human perception and attention processes, has made remarkable achievements. The current methods combine a channel attention mechanism and a spatial attention mechanism in a parallel or cascaded manner to enhance the model representational competence, but they do not fully consider the interaction between spatial and channel information. This paper proposes a method in which a space embedded channel module and a channel embedded space module are cascaded to enhance the model’s representational competence. First, in the space embedded channel module, to enhance the representational competence of the region of interest in different spatial dimensions, the input tensor is split into horizontal and vertical branches according to spatial dimensions to alleviate the loss of position information when performing 2D pooling. To smoothly process the features and highlight the local features, four branches are obtained through global maximum and average pooling, and the features are aggregated by different pooling methods to obtain two feature tensors with different pooling methods. To enable the output horizontal and vertical feature tensors to focus on different pooling features simultaneously, the two feature tensors are segmented and dimensionally transposed according to spatial dimensions, and the features are later aggregated along the spatial direction. Then, in the channel embedded space module, for the problem of no cross-channel connection between groups in grouped convolution and for which the parameters are large, this paper uses adaptive grouped banded matrices. Based on the banded matrices utilizing the mapping relationship that exists between the number of channels and the size of the convolution kernels, the convolution kernel size is adaptively computed to achieve adaptive cross-channel interaction, enhancing the correlation between the channel dimensions while ensuring that the spatial dimensions remain unchanged. Finally, the output horizontal and vertical weights are used as attention weights. In the experiment, the attention mechanism module proposed in this paper is embedded into the MobileNetV2 and ResNet networks at different depths, and extensive experiments are conducted on the CIFAR-10, CIFAR-100 and STL-10 datasets. The results show that the method in this paper captures and utilizes the features of the input data more effectively than the other methods, significantly improving the classification accuracy. Despite the introduction of an additional computational burden (0.5 M), however, the overall performance of the model still achieves the best results when the computational overhead is comprehensively considered.

Stable source connection and assignment problems as multi-period shortest path problems

Stable source connection and assignment problems as multi-period shortest path problems