Local System Research Articles

Warfare in Serbian State from the End of the 14th to the Middle of the 15th Century

The aim of this paper is to present the changes in the way of warfare in the Serbian state in the late Middle Ages. The Ottoman pressure on Serbian territories, starting from the eighth decade of the 14th century, influenced changes in the military organisation of their rulers. In order to defend themselves more effectively from attackers, they established various types of military service. Despot Stefan Lazarević implemented a reform of the local government system by creating new administrative units. During the period that is the subject of research, there were also changes in armaments.

Clinicopathologic features of primary central nervous system anaplastic large cell lymphoma: a multicenter study identifies age and ALK status as prognostic factors.

Anaplastic large cell lymphoma with primary presentation in, and disease limited to, the central nervous system (primary CNS ALCL) is a rare and aggressive lymphoma found in a sensitive anatomic site. We report the clinical and pathologic characteristics of 17 primary CNS ALCL cases that are newly reported from six academic medical centers. We are investigating the characteristics of these cases, alongside their commonalities and differences from systemic ALCL arising at conventional anatomic sites. Clinical, pathologic, and outcome data were extracted by medical record review. The median patient age was 32years with a male-to-female ratio of 2.4:1. Cases presented with either localized or multifocal central nervous system (CNS) disease without coinciding systemic disease. Histologically, the common pattern prevailed, and loss of pan-T-cell markers was frequent. There was a similar proportion of anaplastic lymphoma kinase (ALK) positivity in primary CNS ALCL (12/17, 71%) compared to that reported in systemic ALCL (70-80%). Our data indicate a 5-year overall survival (OS) rate of 65% and a 5-year progression-free survival (PFS) rate of 48%. Five patient deaths occurred in this study of which all were in the ALK-negative group, and all were patients over 40years old. ALK-positive patients were significantly younger than ALK-negative patients, and survival analyses showed that both ALK-positive and younger age (≤ 40years) were favorable prognostic factors. This is the largest series of primary CNS ALCL reported to date, which demonstrates a high proportion of ALK-positive cases and favorable outcomes for both younger and ALK-positive patients despite the involvement of a sensitive anatomic site.

A Room-Level Indoor Localization Using an Energy-Harvesting BLE Tag

Energy-efficient and cost-effective localization systems are attractive for large-scale tracking and localization of goods. In this paper, we propose a room-level localization system using energy-harvesting BLE tags to track the targets. We introduce the Dempster–Shafer (D–S) evidence theory combined with fingerprinting technology for location estimation. To reduce the estimation complexity, we divide the indoor environment into clear areas and fuzzy areas. The D–S algorithm is employed to locate the target in the clear areas when the targets are only detected by the anchor nodes within a single room. Conversely, fuzzy areas are characterized by RSSI signals detected by anchor nodes across multiple rooms. Then, the system integrates fingerprint matching to ensure superior positioning accuracy across the deployment. Extensive experiments demonstrate that the proposed system maintains a room-level positioning accuracy above 99% under standard test conditions within an area of approximately 2000 m2 with lots of rooms.

OLM-SLAM: Online lifelong memory system for simultaneous localization and mapping

Abstract Simultaneous Localization and Mapping is a fundamental task for robots in unknown environments. However, the poor generalization ability of learning-based algorithms in unknown environments hinders their widespread adoption. Additionally, artificial neural networks are subject to catastrophic forgetting. We propose a lifelong SLAM framework called OLM-SLAM that effectively solves the neural network catastrophic forgetting problem. To ensure the generalization of the neural network, this paper proposes a method for the sensitivity analysis of the network weight parameters. Meanwhile, inspired by human memory storage mechanisms, we design a dual memory storages mechanism that retains dynamic memory and static memory. A novel memory filtering mechanism is proposed to maximize image diversity within a fixed-size memory storage area addressing the problem of limited storage capacity of embedded devices in real-world situations. We have extensively evaluated the model on a variety of real-world datasets. Compared with CL-SLAM, the overall translation error of the test sequence is improved by 44.9%. The translation and rotation errors of Retention Ability were improved by 111.6% and 66.7%, respectively. The results demonstrate that OLM-SLAM can outperform previous methods of the same type, and OLM-SLAM has high retention ability when facing different sequences of the same type of environment.

Delphi Consensus Recommendations for the Development of the Emergency Medicine Point of Care Ultrasound (POCUS) Curriculum in Nepal

Introduction: Emergency Medicine Point of Care Ultrasound (EM-POCUS) is a diagnostic bedside tool for quick and accurate clinical decision-making. Comprehensive training in POCUS is a mandatory part of EM training in developed countries. In Nepal, we need to build an educational curriculum based on the local medical system, available resources, and educational environment. We used the modified Delphi method to develop a EM-POCUS curriculum. Methods: We formed an EM-POCUS core working group based on expertise in key identified areas. The core working group developed criteria for expert panelist selection and synthesized the data for panelists after each Delphi round. We recruited 46 expert panelists to participate in a series of electronic surveys. The literature review and the results of the first Delphi round identified a set of competencies. Quantitative methodology was performed for subsequent surveys. Data analysis of the frequency, percentage, median, and interquartile range of the 9-point Likert scale was performed. We deemed a minimum threshold of 80% agreement to retain items across Delphi rounds. The result of every round was disseminated before subsequent rounds for the expert panelists to review responses in light of the group’s response. Results: We identified 10 specific global competency categories and 132 objectives (Round 1, response rate 85%). Rounds 2 and 3 (response rates 78% and 81% respectively) developed consensus on 45 core objectives (34%). The list of EM-POCUS competencies with the median (IQR) was finalized. Conclusion: This expert, consensus-generated EM-POCUS curriculum provides detailed guidance for EM-POCUS education and applications in clinical practice in Nepal.

A Lightweight, Centralized, Collaborative, Truncated Signed Distance Function-Based Dense Simultaneous Localization and Mapping System for Multiple Mobile Vehicles

Simultaneous Localization And Mapping (SLAM) algorithms play a critical role in autonomous exploration tasks requiring mobile robots to autonomously explore and gather information in unknown or hazardous environments where human access may be difficult or dangerous. However, due to the resource-constrained nature of mobile robots, they are hindered from performing long-term and large-scale tasks. In this paper, we propose an efficient multi-robot dense SLAM system that utilizes a centralized structure to alleviate the computational and memory burdens on the agents (i.e. mobile robots). To enable real-time dense mapping of the agent, we design a lightweight and accurate dense mapping method. On the server, to find correct loop closure inliers, we design a novel loop closure detection method based on both visual and dense geometric information. To correct the drifted poses of the agents, we integrate the dense geometric information along with the trajectory information into a multi-robot pose graph optimization problem. Experiments based on pre-recorded datasets have demonstrated our system’s efficiency and accuracy. Real-world online deployment of our system on the mobile vehicles achieved a dense mapping update rate of ∼14 frames per second (fps), a onboard mapping RAM usage of ∼3.4%, and a bandwidth usage of ∼302 KB/s with a Jetson Xavier NX.

Are local species prioritization lists sufficient for protecting endangered plants? Israeli red list as a test case

AbstractConserving species from extinction requires risk assessment and ranking for conservation priorities. The IUCN criteria of extinction risk are currently accepted globally, but only a small fraction of species were evaluated. When assessing species' extinction risk, sufficient information, in particular rate of population decline, is often partial or missing. Here we utilized the red list of Israeli endangered plant species, which prioritizes them for conservation, and evaluated their local extinction risk using IUCN criteria for local assessment. We found a relatively high similarity between the Israeli red number value and the IUCN assessments. Most pronouncedly, the habitat vulnerability index, used in the Israeli method, is correlated with the IUCN parameter of extinction rate in the last decade. We conclude that in the case of Israel, prioritization ranking of endangered species based on locally available information is a powerful tool for conservation even when some species information is lacking, facilitating local decision‐making. This finding may apply also to other countries using a local assessment system.

Integration of Teaching Resources for English Majors under Local Autonomy: Collaboration and Development

In the process of local social governance, educational resources are the basic conditions for social governance, so the integration of English education resources has become the main research aspect of local governments and educational institutions. The integration of key educational resources needs to be supported by local education policies, education systems and education laws, and the corresponding regulations and laws should be improved, and the English cognitive level of the public and the environmental governance of education need to be intervened by local governments, as well as the extensive participation of the public. Laws and regulations should be improved under the guidance of the government to provide support for the integration of English education resources, and the public should widely participate in the integration of educational resources of English majors under the publicity of educational resources, so as to form a good interactive relationship to provide support for local education governance. Therefore, the necessary conditions for the integration of local governments, legal institutions, education departments and the general public, military and local English education resources play a role in promoting the development level of English and the creation of a social environment.

Genomic Surveillance of Foodborne Pathogens: Advances and Obstacles

Context: The genomic surveillance of foodborne pathogens in the United States has grown exponentially in the past decade, grounded in a powerful combination of novel sequencing technologies, bioinformatic approaches, data-sharing networks, and metadata harmonization efforts. This practice report examines recent advances in genomic epidemiology as applied to food safety programs and delineates State, Tribal, Local, and Territorial infrastructure necessary for continued life-saving improvements in public health. Program: National databases of foodborne pathogen genomes, along with data sharing and evaluation networks such as GenomeTrakr and PulseNet, have transformed how connections are made among isolates and how root causes of outbreaks are determined, allowing much more timely interventions to protect public health. Freely available bioinformatics tools such as GalaxyTrakr and the National Center for Biotechnology Information Pathogen Detection database have allowed laboratories with limited local computing resources to participate in surveillance efforts and contribute to traceback investigations. Implementation: In this report, we describe advances in genomic epidemiology that have occurred over the past decade and examine obstacles to fully implementing this technology within State, Tribal, Local, and Territorial public health systems. Evaluation: Despite a clear return on investment from governmental expenditures on genomic surveillance of foodborne pathogens, we identify significant obstacles to further sustained progress. These obstacles include workforce gaps, ineffective data sharing, and lack of constitutive and sustained funding. Discussion: Many public health laboratories face major obstacles to widespread and routine adoption of genomic surveillance technologies. While whole genome sequencing has become an integral part of routine public health microbiology, the seamless integration of these protocols into the existing practices, laboratory workflows, and information systems remains challenging. Centralized efforts to address these issues include (1) support through the Food and Drug Administration Laboratory Flexible Funding Model, (2) training and proficiency assessments, (3) open-source, standardized protocols for collecting high-quality genomic data, and (4) open access informatics software.

Local Governance and School-based Approaches to English Language Acquisition: A Comparative Analysis

In order to improve the effectiveness of English acquisition, it is necessary to discuss it in conjunction with local governance policies. Local governments should conduct an analysis of English acquisition from the aspects of policies, systems, and social participation. This paper puts forward three hypotheses: local policies and systems can improve the effectiveness of English learning, which are related. Public attention can promote the improvement of English acquisition effect and play a supervisory role; Laws and regulations can ensure the foundation of basic conditions for English acquisition and promote the improvement of school infrastructure. The results show that local policies and institutions are the conditions for improving English acquisition methods, social attention is the condition for verification, and school infrastructure is the key condition. Social issues, local policies and institutions all play an indirect role in promoting English language acquisition, while infrastructure plays a direct role. Therefore, local governments should improve English acquisition policies and systems, promote the introduction of English acquisition laws and regulations, and guide the public to supervise.

Automatic localization and deep convolutional generative adversarial network-based classification of focal liver lesions in computed tomography images: A preliminary study.

Computed tomography of the abdomen exhibits subtle and complex features of liver lesions, subjectively interpreted by physicians. We developed a deep learning-based localization and classification (DLLC) system for focal liver lesions (FLLs) in computed tomography imaging that could assist physicians in more robust clinical decision-making. We conducted a retrospective study (approval no. EMRP-109-058) on 1589 patients with 17335 slices with 3195 FLLs using data from January 2004 to December 2020. The training set included 1272 patients (male: 776, mean age 62±10.9), and the test set included 317 patients (male: 228, mean age 57±11.8). The slices were annotated by annotators with different experience levels, and the DLLC system was developed using generative adversarial networks for data augmentation. A comparative analysis was performed for the DLLC system versus physicians using external data. Our DLLC system demonstrated mean average precision at 0.81 for localization. The system's overall accuracy for multiclass classifications was 0.97 (95% confidence interval [CI]: 0.95-0.99). Considering FLLs≤3cm, the system achieved an accuracy of 0.83 (95% CI: 0.68-0.98), and for size>3cm, the accuracy was 0.87 (95% CI: 0.77-0.97) for localization. Furthermore, during classification, the accuracy was 0.95 (95% CI: 0.92-0.98) for FLLs≤3cm and 0.97 (95% CI: 0.94-1.00) for FLLs>3cm. This system can provide an accurate and non-invasive method for diagnosing liver conditions, making it a valuable tool for hepatologists and radiologists.

Ragi Revolution: Enhancing Dietary Practices through Nutritional Education and Local Food Systems Implementation

Ragi (Eleusine coracana), commonly known as finger millet, is a nutrient-rich cereal that remains underutilized in modern diets despite its high calcium, iron, and dietary fiber content. This examines how ready-to-eat ragi-based supplementary foods, combined with effective nutrition education, can drive behavioral changes to incorporate ragi into daily diets and local food systems. The increasing availability of ready-to-eat ragi products offers an accessible solution for improving nutrition, but challenges remain in terms of consumer acceptance due to unfamiliarity and taste preferences. This paper focuses on the role of nutrition education in reshaping dietary behaviour, emphasizing case studies that demonstrate the effectiveness of targeted interventions in promoting ragi consumption. Additionally, it explores strategies for integrating ragi into public nutrition programs and sustainable food systems, highlighting the importance of community-driven efforts and public-private partnerships. The review also discusses the role of policy support and multi-stakeholder collaboration in fostering ragi’s cultivation and incorporation into local food systems. By examining behavioural change strategies such as social marketing and culturally sensitive approaches, this paper presents a roadmap for promoting ragi as a key component of sustainable diets and public health interventions.

Multipartite entanglement in crossing the quantum critical point

Abstract We investigate the multipartite entanglement for a slow quantum quench crossing a critical point. We consider the quantum Ising model and the Lipkin-Meshkov-Glick model, which are local and full-connected quantum systems, respectively. The multipartite entanglement is quantified by quantum Fisher information with the generator defined as the operator of the ferromagnetic order parameter. The quench dynamics begins with a ground state in a paramagnetic phase, and then the transverse field is driven slowly to cross a quantum critical point, and ends with a zero transverse field. For the quantum Ising model, based on methods of matrix product states, we calculate the quantum Fisher information density of the final state. Numerical results of both linear and nonlinear quenches show that the quantum Fisher information density of the final state scales as a power law of the quench rate, which overall conforms to the prediction of the Kibble-Zurek mechanism with a small correction. We show that this correction results from the long-range behaviors. We also calculate the quantum Fisher information density in the Lipkin-Meshkov-Glick model. The results show that the scaling of quantum Fisher information in this full-connected system conforms to the Kibble-Zurek mechanism better, since the long-range physics cannot be defined in this nonlocal system. Our results reveal that the multipartite entanglement provides an alternative viewpoint to understand the dynamics of quantum phase transitions, specifically, the nontrivial long-range physics.

Prospective and challenges of locally applied repurposed pharmaceuticals for periodontal tissue regeneration

Periodontitis is a persistent inflammatory condition that causes periodontal ligament degradation, periodontal pocket development, and alveolar bone destruction, all of which lead to the breakdown of the teeth’s supporting system. Periodontitis is triggered by the accumulation of various microflora (especially anaerobes) in the pockets, which release toxic substances and digestive enzymes and stimulate the immune system. Periodontitis can be efficiently treated using a variety of techniques, both regional and systemic. Effective therapy is dependent on lowering microbial biofilm, minimizing or eradicating pockets. Nowadays, using local drug delivery systems (LDDSs) as an adjuvant therapy to phase I periodontal therapy is an attractive option since it controls drug release, resulting in improved efficacy and lesser adverse reactions. Choosing the right bioactive agent and mode of delivery is the foundation of an efficient periodontal disease management approach. The objective of this paper is to shed light on the issue of successful periodontal regeneration, the drawbacks of currently implemented interventions, and describe the potential of locally delivered repurposed drugs in periodontal tissue regeneration. Because of the multiple etiology of periodontitis, patients must get customized treatment with the primary goal of infection control. Yet, it is not always successful to replace the lost tissues, and it becomes more challenging as the defect gets worse. Pharmaceutical repurposing offers a viable, economical, and safe alternative for non-invasive, and predictable periodontal regeneration. This article clears the way in front of researchers, decision-makers, and pharmaceutical companies to explore the potential, effectiveness, and efficiency of the repurposed pharmaceuticals to generate more economical, effective, and safe topical pharmaceutical preparations for periodontal tissue regeneration.

Back to the future? An analysis of party influence on electricity grid remunicipalisation in Germany

ABSTRACT The literature on privatisation and nationalisation has presented conflicting results on partisan theory, echoed in studies on local public service ownership. Moreover, there is a notable quantitative research gap on Germany’s energy market, the sector most strongly affected by remunicipalisation. This study addresses this gap by investigating whether party strength impacts the remunicipalisation of local electricity grids in Germany. Using logistic regression on a novel dataset covering approximately 1,800 municipalities in the 2010s, the findings reveal that stronger left-wing or green party representation do not increase remunicipalisation likelihood. Instead, factors such as population size, the local political systems, and municipal finances play substantial roles. In doing so, it adds valuable insights on a hitherto understudied case and examines the role of partisan theory, whose application has yielded conflicting results. Electricity grids are critical infrastructure for the energy transition, with many contracts in Germany up for renewal in the early 2030s.

Strategies for feeding tilapia in smallholder aquaculture systems: a study of aquaculture feed access and availability in two districts of Northern Province, Zambia

ABSTRACT Aquaculture contributes to agricultural development, economic growth, and poverty reduction initiatives in Zambia. In northern and rural regions of the country, development requires improvements to the management of local and farm-generated inputs. Fish farmers have limited market access and purchasing power, which restricts access to commercial inputs, such as formulated feeds and chemical fertilizers. Instead, farmers adopt integrated-agriculture-aquaculture (IAA) practices, whereby on-farm resources supply essential inputs. Research is limited regarding local systems of resource management, and this hinders development of innovations for improving efficiency. This mixed-methods study explored local patterns of resource utilization. Smallholders (n = 63) participated in surveys and interviews regarding resource management. A series of quantitative analyses, including descriptive statistics, principal component analyses (PCA), and multinomial logistic regression (logit) models, identified relationships between these resources, household livelihood, and system productivity. Qualitative analyses explored farmer perceptions regarding seasonal resource availability. Results suggested that livestock manure, homemade feeds comprising maize and soybean, garden residues, and kitchen wastes were the most frequently selected inputs. Logit models of feeding intensity found that income, proximity to Luwingu Town, experience in aquaculture, and access to extension services were key household resources. High-intensity feeding strategies incorporated commercial feeds, chemical fertilizers, as well as home-made feeds containing a wide diversity of both high- and low-quality ingredients. Low-intensity feeding strategies incorporated only farm waste and termites. Potential innovations that may improve system performance in resource poor contexts are considered and recommendations for additional research are offered.

Barriers to and Facilitators of Effective Behavioral Health Crisis Care Services.

Expanded funding to support care across the crisis continuum is intended to improve behavioral health outcomes. A greater understanding of how to effectively implement and integrate local crisis care systems has been identified as a research and policy priority. The aim of this study was to explore provider perceptions of the barriers and facilitators associated with implementing effective behavioral health crisis services. The authors conducted semistructured qualitative interviews with personnel from 15 behavioral health crisis care programs across California. Purposive sampling was used to ensure adequate representation of peer specialists, clinicians, mental health workers, and program leaders. Interview transcripts were analyzed via an inductive approach to thematic analysis. On the basis of patterns identified in the data, initial codes were developed, reviewed, and combined into overarching preliminary themes and subthemes. Twenty-nine crisis care personnel participated. Facilitators of effective crisis care included an optimal crisis service structure, a client-centered approach, engagement with clients' support systems, and collaboration with community partners to link clients to services and enable safe delivery of crisis care. Barriers at the client, program, and system levels were identified, with solutions proposed for each. The participants identified features of crisis care that could improve program implementation and effectiveness or could help mitigate identified barriers. As states and local municipalities work to implement an integrated system of care across the crisis care continuum, input from frontline providers can be used to support the development of new programs, refine existing services, and inform future directions for research.

Use of Prenatal Exome Sequencing: Opinion Statement of the French Federation of Human Genetics Working Group.

Prenatal whole exome sequencing (pES) is increasingly prescribed for fetuses with ultrasound anomalies. Starting from the local French prenatal medicine practice, healthcare system and legal landscape, we aimed to address the broad medical and ethical issues raised by the use of pES for women and couples as well as for prenatal care providers. The French Federation of Human Genetics established a working group composed of clinicians and biologists from all over France to discuss pES challenges. A literature review was also performed. We emphasize the importance of non-directive information that helps couples make a decision that is consistent with their personal values and ideas. We address the difficulty of obtaining informed consent that respects the couple's autonomy, despite the complexity of the information and regardless of their level of education and cultural background. We address whether variants of uncertain significance and unsolicited results should be reported. We emphasize the need for national harmonization of access to pES and the need for multidisciplinary meetings in complex situations. We point out that the specific French context of healthcare financing and the French law have a major influence on medical care organization and support for couples. The outcome of the working group is the development of 12 proposals. This opinion statement, dedicated to prenatal care providers worldwide although linked to the French context, will provide food for thought and assist them in understanding the complexity and implications of pES.

Study of Physiological Adaptations in Vertical Kilometer Runners: Focus on Cardiorespiratory and Local Muscle Demands

Background: Research into key performance factors in trail running, particularly in vertical kilometer (VK) races, is crucial for effective training and periodization. However, recent studies on metabolic and cardiorespiratory responses during VK races, especially using field tests, are limited. Objectives: Therefore, the aim of this study is to evaluate the metabolic and cardiorespiratory responses during a VK field test, identifying differences based on sex and performance level, as well as key performance factors and their deterioration due to fatigue. Fifteen trained trail runners (ten males and five females, 19 to 38 years old) perform a VK race. Methods: The global physiological response is evaluated using the portable gas analyzer Cosmed K5 and the local response using near-infrared spectroscopy technology. Results: In gender comparisons, the ANCOVA test shows significant differences (p < 0.05) in the ventilation, tidal volume, expiratory time-to-inspiratory time ratio, inspiratory flow rate, end-tidal CO2 partial pressure, heart rate, oxygen pulse, and total hemoglobin. Additionally, the performance comparison reveals significant differences in the variables’ velocity, oxygen consumption, carbon dioxide production, ventilation, dead space-to-tidal volume ratio, total time of the breathing cycle, expiratory time-to-inspiratory time ratio, inspiratory duty cycle, expiratory fractions of CO2, quadriceps saturation index, and VE/VCO2 ratio. Finally, the correlation analysis shows oxygen consumption (r = −0.80 mean; r = −0.72 peak), carbon dioxide production (r = −0.91 mean; r = −0.75 peak), expiratory time-to-inspiratory time ratio (r = 0.68 peak), ventilation (r = −0.58 mean), and quadriceps saturation index (r = 0.54 mean; r = −0.76 coefficient of variation) as the key performance factors in the VK race. Conclusions: Overall, the physiological analysis indicates the importance of local muscular adaptations and respiratory system capacity in this type of short-duration race.

Intrinsic PD-L1 Degradation Induced by a Novel Self-Assembling Hexapeptide for Enhanced Cancer Immunotherapy.

Programmed death-ligand 1 (PD-L1) is a critical immune checkpoint protein that facilitates tumor immune evasion. While antibody-based PD-1/PD-L1 inhibitors have shown promise, their limitations necessitate the development of alternative therapeutic strategies. This work addresses these challenges by developing a hexapeptide, KFM (Lys-Phe-Met-Phe-Met-Lys), capable of both directly downregulating PD-L1 and self-assembling into a ROS-responsive supramolecular hydrogel. This dual functionality allows Gel KFM to function as a localized drug delivery system and a PD-L1 inhibitor. Loading the hydrogel with mitoxantrone (MTX) and metformin (MET) further enhances the therapeutic effect by combining chemotherapy with PD-L1 downregulation. In vitro and in vivo studies demonstrate significant tumor growth inhibition, increased CD8+ T cell infiltration, and reduced intratumoral PD-L1 expression following peritumoral administration. Mechanistically, KFM promotes PD-L1 degradation via a ubiquitin-dependent pathway. This "carrier-free" delivery system expands the role of supramolecular hydrogels beyond passive carriers to active immunotherapeutic agents, offering a promising new strategy for cancer therapy.