Absence Of Connection Research Articles

Safety Challenges for Autonomous Vehicles in the Absence of Connectivity

This article examines the critical safety challenges faced by autonomous vehicles (AVs) operating in environments without connectivity. As the global AV market expands rapidly, the disparity in Vehicle-to-Everything (V2X) infrastructure implementation across regions necessitates AVs to function safely in both connected and non-connected scenarios. The article explores five key areas of concern: limited real-time information access, absence of cooperative driving capabilities, lack of remote software updates, reduced traffic ecosystem support, and increased vulnerability to cybersecurity threats. By analyzing data from various transportation studies and industry reports, the article highlights the significant impact of these challenges on AV performance, efficiency, and safety. The research underscores the importance of developing robust, adaptable systems that can operate effectively in diverse connectivity environments, emphasizing the need for advanced onboard sensors, sophisticated AI algorithms, and enhanced traffic management strategies to mitigate the risks associated with non-connected autonomous driving.

Recursive state estimation for delayed complex networks with random link failures and stochastic inner coupling under cyber attacks

This paper focuses on the filtering issue regarding a class of uncertain time-delayed complex networks (CNs) subject to random link failures (RLF) and stochastic inner coupling (SIC) under cyber attacks, where the attacks occur in a random way with uncertain occurrence probabilities. The phenomena of RLF and SIC are described via a Bernoulli distributed random variable and a Gaussian noise, respectively. The former reflects the presence or absence of connections between different nodes, while the latter presents the uncertainty of the inner coupling strength. In addition, denial of service attacks (DoSAs) and false data injection attacks (FDIAs) are both taken into account in the discussed cyber space, where the switching behavior of attack modes is described by two independent Bernoulli distributed random variables. A novel recursive estimator is constructed with consideration of RLF, uncertain time-delay, SIC and cyber attacks, wherein a state estimation error covariance upper bound (SEECUB) is obtained. And such upper bound is minimized via reasonable design of the estimator gain. Through theoretical deduction and analysis, it is proved that the presented SEECUB is uniformly bounded under certain conditions. Finally, the availability of the proposed filtering strategy and the gained results are verified through simulation examples.

Використання комплексу газогрунтової зйомки та геофізичних досліджень у задачі окреслення території грязьового вулканізму в межах Розвадівської площі Львівської області

The purpose of the research was to substantiate the scientific basis behind the formation of a mud volcano within a specific section of the Precarpathian depression. It also aims to examine the existence of a near-fault shallow gas deposit in the Rozvadiv area and its possible impact on gas-soil surveying and electrometry fields. The relevance of the work is determined by the need to solve the ecological problem of environmental pollution with hydrocarbon gases, as well as to establish and forecast the degree of emissions of the gas-mud mixture. At the same time, the problem of the presence (or absence) of the relationship between the influence of the Rudnyk gas-prospecting area, which is impacted by drilling, and the Rozvadiv deposit mentioned above is solved by comparing the results of gas-soil and geophysical surveys on a significant territory covering the specified areas. The research methodology consists of the following: 1) application of research with different physical justifications (gas-soil survey and electrometry); 2) comparison of the survey results from the same area and the same grid of observations; 3) detection of anomalies within the studied territory and their interpretation from the point of view of the development of mud volcanism. Research results. The information basis of gasometry involves direct measurements of free gas in a observation regular system in the soil environment atmosphere, their statistical characteristics, and calculated indicators of gas contamination. Therefore, the gas distribution maps are informative. The applied research using the method of Earth’s natural pulsed electromagnetic field made it possible to differentiate the area according to the intensity degree of electromagnetic radiation, taking into account the different depths of the sources, and, thus, identify areas of stressed-strain state of rocks and qualify them by the causes. The scientific novelty lies in the following: 1) indicating the absence of connections between the massif impacted by drilling and a natural disaster; 2) specifying the causes of the natural disaster and its substantiated mechanism and classifying the event as a mud volcano. Practical significance. Interpretation of the obtained results makes it possible to determine the causes of the extraordinary geological event in the Rozvadiv area of the Lviv region, classify the event and its consequences as a manifestation of elements of mud volcanism, and establish the absence of a relationship between the specified event and man-made impact (drilling) of the geological environment in the neighbouring areas.

Dung beetle populations's morphology show evidence of isolation in southern Brazil islands

AbstractInsects in islands may undergo morphological variations related to the geographic isolation faced by their populations. This isolation on insular biota can vary according to the history and characteristics of the islands, as well as the dispersal ability of each species. We investigated the existence of morphological variations in the populations of the Canthon rutilans cyanescens dung beetle from the southern Brazil islands and the nearby mainland. Dung beetles were sampled from December/2020 to April/2021 from five Islands in the Santa Catarina Archipelago and on the mainland through samplings with baited live traps. With geometric morphometry analyses and individuals from each population we compared the body size using an Analysis of Variance and body shape using a Discriminant Analysis with cross‐validation test, followed by a Canonical Variable Analysis to visualize the populations in morphometric space. We found a significant difference in the body length: the population of Ratones Grande Island has smaller individuals than the populations of the mainland, Dona Francisca Island, and Peri on Santa Catarina Island. We also observed that the body shape of the population of Campeche Island differs from the populations of Arvoredo Island and Dona Francisca Island, with a slightly oval body, a larger dorsal region, and a retracted abdomen. These results are consistent with the hypothesis that the populations found on the islands may have remained there since their formation after the Last Glacial Maximum. The isolation and the absence of connectivity between the populations would explain why some islands have populations with distinct morphology.Abstract in Portuguese is available with online material.

Critical transitions for scalar nonautonomous systems with concave nonlinearities: some rigorous estimates

The global dynamics of a nonautonomous Carathéodory scalar ordinary differential equation x′=f(t,x) , given by a function f which is concave in x, is determined by the existence or absence of an attractor-repeller pair of hyperbolic solutions. This property, here extended to a very general setting, is the key point to classify the dynamics of an equation which is a transition between two nonautonomous asymptotic limiting equations, both with an attractor-repeller pair. The main focus of the paper is to get rigorous criteria guaranteeing tracking (i.e. connection between the attractors of the past and the future) or tipping (absence of connection) for the particular case of equations x′=f(t,x−Γ(t)) , where Γ is asymptotically constant. Some computer simulations show the accuracy of the obtained estimates, which provide a powerful way to determine the occurrence of critical transitions without relying on a numerical approximation of the (always existing) locally pullback attractor.

Диверсификация экономики как фактор устойчивого развития региона в современных условиях

In the context of a high degree of uncertainty in the modern global economic space, the search for ways that can ensure long-term stable development of the economy of the country’s regions becomes relevant. The purpose of the study is to identify the strength of relationship between the level of development of an economic entity and the degree of diversification of its economy, which will allow the regions of the Russian Federation to justify the choice of diversification or specialization policy. The level of diversification was determined by such methods as analysis of the structure of the regional economy, highlighting the sectors of the national economy that make the greatest contribution to the gross regional product; study of the distribution of employees by types of economic activity; calculation of indicators characterizing the concentration of production in territories – the Herfindahl–Hirschman index, dispersion indicator, entropy coefficient. The study identified that more than 12 % of regions have a low diversification level, mainly associated with mining operations. The author calculated the correlation coefficient between the Herfindahl–Hirschman index and the indicators of the gross regional product of the Russian Federation constituents, which allowed concluding on the absence of connection between these indicators. The author believes that diversification of the region’s economy does not guarantee an increase in its efficiency. Constituents with a low diversification level often have high indicators of socio-economic development; therefore, the focus on diversification is not always an economically sound strategy for the development of the region. Thus, increasing the diversification level does not have a direct connection confirmed by calculations with the level of development of the region; however, additional research on the structure of manufacturing industries and determining their impact on the economic system are necessary.

Gastric ectopic pancreas with a pseudocyst.

Ectopic pancreas (EP) is defined as pancreatic tissue that lacks anatomical or vascular connections to the normal pancreas. EP is generally asymptomatic and is detected incidentally during endoscopy. However, due to pseudocyst formation, inflammation, or malignant transformation, it may cause non-specific gastrointestinal symptoms, such as abdominal pain, abdominal discomfort, nausea, vomiting, and bleeding. Pseudocyst formation in EP may result from the retention of exocrine secretions in the absence of connections between the glandular epithelium and gastric lumen. We herein report a case of EP with a pseudocyst associated with epigastric pain. EP with a pseudocyst, although rare, needs to be considered in a differential diagnosis of cystic lesions of the stomach.

Recovery of historic real estate: Life Cycle Costing and economic feasibility

The tools currently available for the parametric estimate of the costs for the recovery of properties, in the phase of verifying the economic feasibility of the interventions, do not present satisfactory levels of accuracy. In addition to the intrinsic forecasting difficulties at a planning level characterized by a limited level of knowledge of the artefact to be recovered, and a certain terminological confusion especially in professional contexts, there is also limited attention to this issue in the scientific field, which is further reduced since the dynamism of the construction sector and its weight within the Italian economic system decreased. These conditions are even more accentuated in the case of historic building heritage, due to the well-known difficulties in generalizing situations. A further, significant limitation of the parametric tools currently available is the absence of connections with the Life Cycle Cost. At this point, it seems clear that structural monitoring of cultural heritage is crucial not just for to ensure public safety and environmental protection, but also and above all for verifying the economic feasibility. In fact, it helps identify potential issues and defects in structures, enabling the implementation of preventive actions to avert failures or breakages. The advent of drones has streamlined this process, allowing for more detailed analysis while reducing costs and time. Therefore, the use of an automated system for detecting and monitoring structural degradation, consent an easier data collection, processing, and forecasting. With rare exceptions, estimating studies have often looked more deeply into the topic of cost estimation in the executive project phase, in which the level of information is objectively much more detailed.This contribution constitutes the start of a research path which, starting from the recognition of existing literature, aims to develop a tool for rapidly estimating costs in the feasibility project phase of restoration interventions on historic real estate, combining, from a structural point of view, the use of an automated system for detecting and monitoring structural degradation.

Cross-scale environmental impacts across persistent and dynamic aggregations within a complex population: implications for fisheries management

Accounting for marine stocks spatiotemporal complexity has become one of the most pressing improvements that should be added to the new generation of stock assessment. Disentangling persistent and dynamic population subcomponents and understanding their main drivers of variation are still stock-specific challenges. Here, we hypothesized that the spatiotemporal variability of density in two adjacent fish stocks is associated with spatially structured environmental processes across multiple spatiotemporal scales. To test this, we applied a generalized empirical orthogonal function and dynamic factor analysis to fishery-independent and -dependent data of red mullet, a highly commercial species, in the Western Mediterranean Sea. Areas with persistent and dynamic high aggregations were detected for both stock units. A large-scale climatic index and local open-ocean convection were associated with both stocks, while other variables exhibited stock-specific effects. We also revealed spatially structured density dynamics within the examined management units. This suggests a metapopulation structure and supports the future implementation of a spatial stock assessment. Considering the common—generally unrealistic—assumptions of panmictic structure and absence of connectivity with neighbouring stock units, our methodology can be applied to other species and systems with putative spatial complexity to inform more accurate population dynamics and structure.

Movement pathways and habitat use of blue sharks (Prionace glauca) in the Western Mediterranean Sea: Distribution in relation to environmental factors, reproductive biology, and conservation issues

The blue shark (Prionace glauca), a highly migratory and wide-ranging shark, has been classified as Critically Endangered in the Mediterranean Sea by the International Union for Conservation of Nature since 2016 due to overfishing. Surprisingly, basic information on its biology and ecology, essential for its conservation, remains unknown, and its regional stock has not been assessed. A multi-year large-scale telemetry tagging programme was implemented to fill these gaps. A total of 39 blue sharks were equipped with satellite tags in three areas of the Western Mediterranean, and their movements and home ranges were examined by sex and size class. Their distributions and habitat preferences across seasons were identified using satellite-based environmental data. Tagged sharks were capable of long-range movement between distant regions, but they did not move neither towards the Eastern Mediterranean basins nor the North Atlantic. We identified the Gulf of Lions as the mating, parturition and nursery grounds. We demonstrated that sharks can use the general geostrophic current system for large movements. Our results support the current stock boundary in the Mediterranean based on international conventional tagging programmes and genetic studies, but the absence of connectivity between the two Mediterranean basins and the North Atlantic basin suggests that they have distinct stocks. Our findings provide critical input for developing effective conservation and management plans for this cosmopolitan species. For the first time in the Mediterranean, this study provides insights into the movement patterns of blue sharks and their habitat preferences.

Constraints Perceived by the Members of FPOs in Varanasi District, Uttar Pradesh, India

The study was conducted in 2023 with the aim of finding out the constraints perceived by members of FPOs in Varanasi District, Uttar Pradesh. The Varanasi district was purposively selected for the study, focusing on FPOs with more than 5 years of existence. Among the 29 registered FPOs in the district, only four FPOs met this criterion, namely; Kashi Vishwanath Farmer Producer Company Limited (KVFPCL), Rameshwar Farmer Producer Company Limited (RFPCL), Shivansh Krishak Producer Company Limited (SKPCL), and Jayapur Seed Producer Company Limited (JSPCL). The stratified random sampling method was used with proportional allocation. 35 respondents were selected from KVFPCL and RFPCL, while 25 from JSPCL, and 55 from SKPCL were selected proportionally to make the sample size of 150 respondents., ensuring a representative and comprehensive sampling approach across these four FPOs. The statistical analysis of the collected data was conducted using the Henry Garrett ranking technique. The results revealed four types of constraints perceived by the members of FPOs. In technical constraints, underdeveloped storage facilities ranked first with a GRS of 78.05, and underdeveloped processing facilities ranked second with a GRS of 70.44. In labour and economic constraints, the lack of skilled labour in harvesting and processing secured the first rank with a GRS of 73.12, while the shortage of labour during harvesting ranked second with a GRS of 62.69. Regarding marketing constraints, the fluctuation of prices every year came in first with a GRS of 65.24, and low produce prices ranked second with a GRS of 62.55. Lastly, in organizational and financial constraints, the lack of proper infrastructure claimed the first rank with a GRS of 62.67, while the absence of connections with financial institutions ranked second with a GRS of 49.36.These insights provide valuable guidance for enhancing the productivity and sustainability of FPOs in the region and similar contexts.

Entity–relation triple extraction based on relation sequence information

Data overlap is a significant challenge in the task of entity–relation triple extraction. This task includes two research lines, line one first identifies entities and then predicts relations while line two completely shuffles the order. The methods in line two are more conducive to the optimization of the data overlap problem. Recent works have made breakthroughs in dealing with overlapping data, but there are still some defects such as difficulty in convergence and poor performance on datasets with numerous relations. To solve the above problems, we adopt a two-step strategy of first extracting subjects, and then predicting relation–object pairs. Considering the absence of connectivity between the two steps in the conventional method, we adopt the relation sequence as input in both steps and propose the TERS model. The relation sequence can connect two steps and improve the single-step and comprehensive extraction capability of the model. The TERS model consists of two modules. The first module performs information interaction and filters invalid subjects through the Text Relation Attention method. The second module implements multiple iterations of information interaction through the Information Flow method. The combination of these two modules contributes to the strong entity–relation triple extraction capability of our model. We evaluate our method on three public datasets. Extensive experiments show that our TERS model outperforms previous state-of-the-art models in triple extraction and overlapping data processing. Compared with other two-step extraction models, the advantages of our model are more obvious.

The Hobbesian Crowd Problem

Abstract In this article I try to identify the nature of the Hobbesian Crowd Problem as a problem depending on the nature of the connection, or absence of connection, between the notions of “crowd” and “people.” When a crowd is considered as a “subjected crowd” it is but the flip side of a people, which is itself the other name of the sovereign. When considered as a gathering of people, the crowd's status depends on the intention of its members as well as the number of its participants, but also on whether it is authorized by the sovereign. Within the framework of his complex theory of associations (or “system subjects”), Hobbes's theory of crowds is a useful instrument for assessing what we now call “populism,” the claim by some citizens to speak for the whole political community.

A Long-Distance WiFi Network as a Tool to Promote Social Inclusion in Southern Veracruz, Mexico

The United Nations Organization established 17 sustainable development goals in 2015, including No Poverty, Good Health and Well-Being, Quality Education, Reduced Inequalities, and Responsible Consumption and Production. Latin America stands out as a region marked by significant levels of inequality, encompassing disparities in income and inadequate social protection. The rural municipality of Mecayapan in the Selvas region of Veracruz state, Mexico, is a community where these issues are prominently present. Another specific challenge that exacerbates the situation is the absence of connectivity, which hinders the utilization of technological advancements in three fundamental areas: health, education, and the economy. The project began with a thorough evaluation of the geographical, social, economic, cultural, educational, and health factors within the region. Following this, the network design and implementation phase was executed, considering the available resources, prioritizing recycled materials, and utilizing simulations when required. The subsequent step involved deploying the network in a prioritized manner, utilizing strategic management approaches. To assess the impact of this implementation, a qualitative descriptive study was conducted. This likely entailed the collection of data through interviews, observations, or surveys to gain comprehensive insights into how the WiFi network influenced the community. Results indicate that the implementation of a long-distance WiFi network with wide, open-access coverage in Mecayapan will yield favorable outcomes in terms of social inclusion, poverty reduction, and the overall enhancement of residents’ quality of life. By leveraging technological advancements and promoting connectivity, the WiFi network can contribute to long-term sustainability by fostering economic development, enabling access to educational resources, facilitating communication and networking opportunities, and promoting sustainable practices in various sectors.

A MODEL OF SITUATIONAL CONTROL OF THE TELECOMMUNICATION AERIAL PLATFORM FLIGHT TRAJECTORY TO COLLECT DATA FROM NODES OF A WIRELESS SENSOR NETWORK

A telecommunication aerial platform (TA) based on an unmanned aerial vehicle is considered a promising technology for data collection in wireless sensor networks in the absence of connectivity between network nodes and any communication infrastructure. In fact, TA acts as a mobile gateway and could collect data from several nodes at the same time. The trajectory of its movement, location of points and data exchange intervals significantly affect the efficiency of the data collection process. The article considers a model of situational control of flight trajectory construction for data collection to achieve certain target functions: optimization of data collection time and network operation time. In the work, a set of situations on the network is classified and corresponding production rules for building a TA trajectory are defined, which implement a defined decision-making hierarchy: network, cluster, TA, node, considering the target management functions. At the network level, the rules for determining the number and size of clusters are applied, and a basic solution for determining the collection points and the trajectory of their flight is being built. At the level of each cluster, the TA adjusts the basic solution during the flight based on considering the parameters of the actual state of the cluster nodes. At the level of TA-node interaction, the energy consumption of the node and the speed of data transmission are optimized by reducing the distance of the node to the telecommunication aerial platform. To reduce the number of rules, meta-rules are proposed. This approach allows you to achieve optimization of the target functions of the data collection process and ensure decision-making in real time. The simulation results proved the possibility of reducing data collection time by 10–15 % or increasing network operation time by 12–17 % compared to existing solutions.

Predicting Lead Vehicle Velocity for Eco-Driving in the Absence of V2V Information

<div class="section abstract"><div class="htmlview paragraph">Accurately predicting the future behavior of the surrounding traffic, especially the velocity of the lead vehicle is important for optimizing the energy consumption and improve the safety of Connected and Automated Vehicles (CAVs). Several studies report methods to predict short-to-mid-length lead vehicle velocity using stochastic models or other data-driven techniques, which require availability of extensive data and/or Vehicle-to-Vehicle (V2V) communication. In the absence of connectivity, or in data-restricted cases, the prediction must rely only on the measured position and relative velocity of the lead vehicle at the current time. This paper proposes two velocity predictors to predict short-to-mid-length lead vehicle velocity. The first predictor is based on a Constant Acceleration (CA) with an augmented stop mode. The second one is based on a modified Enhanced Driver Model (EDM-LOS) with line-of-sight feature. Both predictors rely only on information on the present values of lead vehicle position and velocity to compute a future velocity estimate. An analysis is done to compare the prediction accuracy of the proposed predictors with different experimental driving data recorded using an OBD2 scanner plugged into a passenger vehicle. Finally, the predicted lead vehicle velocity is utilized to formulate time-gap constraints for the eco-driving optimal control problem, solved via Model Predictive Control (MPC). The energy savings of the considered velocity predictors are evaluated by performing a large-scale simulation study. The proposed velocity predictor provides closest energy savings to a wait-and-see solution for a CAV in absence of V2V communication.</div></div>

IZE, DENSITY, ECOLOGICAL GROUPS, AND DISPERSAL SYNDROMES OF THE SEED RAIN IN URBAN ATLANTIC FOREST FRAGMENTS IN NORTHEASTERN BRAZIL

Urban expansion has been one of the main factors contributing to the reduction and fragmentation of tropical forests, and such urban green areas are crucial for conserving and maintaining local and regional biodiversity. This study assessed different aspects of the seed rain (seed size, seed density, dispersal syndromes, ecological groups) in two urban Atlantic Forest fragments (Jardim Botânico – 11 ha / Mata do Curado – 106 ha) in Recife, northeastern Brazil. We expected that i) the connectivity and large size would reduce the floristic homogenization in Mata do Curado, ii) the continuous human presence would increase the abundance of non-shaded tolerant species, and iii) in the Jardim Botânico the absence of connectivity and small size would reduce the abundance of shade-tolerant species (large seeds). A total of 50 fruit traps were maintained for 12 months at each site, and visits were performed fortnightly to collect seeds. The collected seeds were quantified, measured (length and width), and categorized into dispersal syndromes (zoochoric, anemochoric, autochoric) and ecological groups (shade and non-shade tolerant). 4,621 seeds were collected in the traps across the study period (Jardim Botânico: 1,778, 7 spp. / Mata do Curado: 2,843, 8 spp. plus 18 morphotypes). Overall, large seeds (15.1 mm - 30 mm) were more abundant in the Jardim Botânico. Zoochoric seeds were longer in length and width in the Mata do Curado. As expected, connectivity and size appeared to contribute to the decrease of floristic homogenization, and human presence increased the abundance of non-shade tolerant seeds in the Mata do Curado. In contrast, albeit small and isolated, the Jardim Botânico demonstrated a higher abundance of shade-tolerant seeds. Our results reinforce the urgency of preserving urban forests to conserve regional biodiversity.

Mental Nerves in the Lower Lip: Anatomical Basis for the Recovery of Sensation following Inferior Alveolar Nerve Damage.

Inferior alveolar nerve damage is one of the most common complications of surgery on the lower third of the face. It can have a significant psychological and social impact, and its evolution varies in terms of the duration and degree of recovery. In the literature, few studies adequately explain this phenomenon. The author therefore aims to establish the anatomical basis of recovery and its variability. The author studied 60 mental nerves on 30 lips. A total of 25 lips were studied in situ, including five receiving an intraarterial injection of latex, whereas five lips were removed and dissected under transillumination. The author identified three types of intralabial distribution of the mental nerves: type I, absence of connections; type II, connections on the upper third of the lower lip; and type III, connections on the upper, middle, and lower thirds of the lower lip. Some cases also had a dominant side with more numerous fibers and a larger diameter than the contralateral side. Rapid or total recovery after inferior alveolar nerve damage is well known. The author's study showed the nerve map to repair nerve damage, and for the first time, to the author's knowledge, it highlighted the connections between the mental nerves in the lip. Types II and III allow the recovery of labiomental sensation.

Nevus Lipomatosus Cutaneous Superficialis Masquerading as Giant LipomaA Rare Case Report

Nevus Lipomatosus Cutaneous Superficialis (NLCS) is an idiopathic, rare skin hamartoma. It occurs due to ectopic deposition of adipocytes in dermis. There are two main clinical forms of NLCS- classic and solitary. Both have different clinical presentations but histologically they show similar morphology characterised by bundles of mature adipocytes in the superficial and deep dermis separated by bundles of collagen. The hallmark of this lesion is absence of connection between subcutaneous fat and adipocyte clusters in dermis.Though NLCS is benign developmental disorder and remains static for a long time, it can be cosmetically unpleasant if grows to a large size. Herein, authors report a case of a 21-year-old male with a solitary painless pedunculated lump in right thigh for 10 years that clinically presented as giant lipoma due to its soft consistency, cut surface of the mass was yellow and fibrofatty. There was no connection of these adipocytes seen with the subcutaneous fat. Focal collections of adipocytes were also seen around the blood vessels. Sparse perivascular mononuclear inflammatory infiltrate also noted. Final diagnosis of NLCS was made.

Shielding of actin by the endoplasmic reticulum impacts nuclear positioning

Nuclear position is central to cell polarization, and its disruption is associated with various pathologies. The nucleus is moved away from the leading edge of migrating cells through its connection to moving dorsal actin cables, and the absence of connections to immobile ventral stress fibers. It is unclear how these asymmetric nucleo-cytoskeleton connections are established. Here, using an in vitro wound assay, we find that remodeling of endoplasmic reticulum (ER) impacts nuclear positioning through the formation of a barrier that shields immobile ventral stress fibers. The remodeling of ER and perinuclear ER accumulation is mediated by the ER shaping protein Climp-63. Furthermore, ectopic recruitment of the ER to stress fibers restores nuclear positioning in the absence of Climp-63. Our findings suggest that the ER mediates asymmetric nucleo-cytoskeleton connections to position the nucleus.