Local Group Research Articles

Premonition-driven deep learning model for short-term ship violent roll motion prediction based on the hull attitude premonition mechanism

Ship transit forecasting can provide advanced movement information to a multidimensional wave motion compensation system. However, traditional deep learning models based on data-driven or physical data have difficulty in accurately predicting the rapid variations in ship motion attitudes that frequently occur in complex ocean environments. Therefore, a premonition-driven deep learning model is proposed in this paper to significantly improve the prediction accuracy of ship violent roll motion. This model applies precursor information to predict premonitory values of ship prospective motion attitudes based on an integrated statistical regression model and then employs these premonitory values to revise the outputs of the deep learning time series model. First, a hull attitude premonition mechanism is presented based on biological premonition cognitive behaviour, which captures the correlation relationships between extreme values by downgrading the globally continuous time series prediction problem to a time-independent regression problem. The corresponding methods for predicting local extreme values and deep feedforward neural network cluster are established based on these correlation relationships between the extreme values to achieve precise premonitory values. Second, the time and amplitude variables of the extreme angle values are transformed to countdown time variables and sequential sets of premonitory angle values. Two types of premonition units and their respective premonitory long short-term memory neural networks are constructed to upgrade the regression problem to a globally continuous time series prediction problem. Finally, a single-step output recurrent strategy is applied to forecast the short-term ship motion attitude for fifteen seconds by considering eleven initially predicted points across the two datasets. In sixty-six simulation experiments, the mean absolute error, root mean squared error, and mean absolute percentage error of the premonition-driven long short-term memory neural networks are considerably lower than those of traditional deep learning models. These simulation experiments verify that the premonition-driven deep learning model can effectively forecast short-term violent ship roll motion and provide safeguards for cargo transfer.

Abstract 1307: Community-driven support platform BlueHQ: An innovative solution to address the needs of patients with colorectal cancer

Abstract Background: Colorectal cancer (CRC) is the third-most commonly diagnosed cancer and the second-leading cause of cancer death in men and women combined in the United States. To manage the disease, patients and caregivers turn to various tools and resources for financial assistance, information dissemination, emotional and peer support, and treatment planning, among other critical issues and needs they face. The Colorectal Cancer Alliance (the Alliance) created BlueHQ to provide patients and caregivers with a resource solution encompassing all potential areas of need. Methods: A survey aimed at understanding needs, barriers, and quality improvement opportunities was disseminated via the Alliance's Blue Hope Nation community for two weeks and by email. One hundred sixty-seven colorectal cancer patients and forty caregivers of colorectal cancer patients completed the survey. Results: Patients and caregiver respondents report reliance on external tools and resources to manage disease and support information. Of the support methods, patient respondents reported using social media (46.11%); notebooks, journals, and planners (45.41%); online articles (44.91%); the Blue Hope Nation Facebook group (41.32%); cancer discussion boards (35.33%); and spiritual or religious advice (29.94%). Patients sought financial assistance, local peer support and groups, and mental health help to minimize diagnosis-related stressors. To provide more efficient care and limit stress, the community suggested financial help, communication and support from other patients and caregivers, and informational resources. Conclusions: These survey results are consistent with other published learnings about patient and caregiver reliance on support tools and highlight the myriad resources that patients and caregivers currently use for managing CRC. BlueHQ is a support solution that provides patients and caregivers with access to information and resources tailored to users’ specified profiles, including molecular characteristics of the tumor. Users can also store documents and information from healthcare encounters, creating a longitudinal record and tracking disease progression. In the age of precision oncology, BlueHQ ensures patients and users are presented with personalized educational materials and multimedia resources to help manage their disease and bridge the gaps in patient support. BlueHQ was explicitly designed to connect the CRC community to the latest therapeutic and clinical research resources to improve outcomes and quality of life for all CRC patients. Citation Format: Kimberly Lynn Newcomer. Community-driven support platform BlueHQ: An innovative solution to address the needs of patients with colorectal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1307.

Tourist Itineraries, Food, and Rural Development: A Critical Understanding of Rural Policy Performance in Northeast Italy

The tourist itinerary concept refers to initiatives combining activities/attractions under a theme and stimulating business opportunities by developing products and services, in accordance with the cultural context and the interaction with the territory. Rural Development Policy serves as example. While not intended to promote tourism directly, it encourages the creation/rediscovery of tourist itineraries, including those that are food-related. We undertook a case study in northeastern Italy. Using a mixed research method, we aimed to appreciate the role played, within the EU Rural Development Programme of the Veneto region, by tourism and the tourist itinerary as a tool for territorial and traditional foods valorisation. Our first objective was to identify the correlations between the choice of certain types of tourism interventions and the territorial characterization by tourism. Through a correspondence statistical analysis, two analyses on the funding beneficiaries were carried out in particular on the period 2014–2020, depending on whether the issuing organization was the Veneto Region or a Local Action Group. The types of intervention on information and infrastructures for tourism, as well as on the redevelopment of cultural heritage, emerged of interest, in particular to public entities. Focusing on the LEADER areas, we examined, through semi-structured interviews, critical issues associated with the implementation of the Policy to grasp the degree of incisiveness of the examined Measures which place the tourist itinerary at the centre of the rural development. Our work shows that in the territories analysed, tourism is a driving force. There emerges, though, a need to refocus the Measures. This is to ensure that their effects are more durable, that eligible actors are more involved, and that there is less strategic redundancy in relation to other policies.

Poverty reduction and migration in rural Vietnam: Role of local firm clusters

AbstractFirm clusters are considered as a contributing factor to local economic development. However, there are limited studies on the effect of firm clusters on the well‐being of rural communities, particularly in terms of income improvement, poverty reduction, and migration. Our research aims to shed light on these relationships at both the household and commune levels. For empirical analysis, we employ the propensity score matching method to mitigate endogeneity bias. Our results reveal the role of firm clusters in increasing income and reducing poverty. Firm clusters also contribute to decreasing labor emigration and attracting immigrants. However, the magnitude of these impacts is relatively small, with moderate effects on income and modest effects on poverty and migration. In particular, firm clusters reduce the commune poverty rate by around 2.36%–2.51% and enhance household annual income by approximately 16.46–17.08 million VND (725–752 USD). Furthermore, analyses at the household level highlight the significance of larger clusters in improving household income. Our research underscores policy implications for rural development with a specific emphasis on firm clusters.

Fisheries local action groups, small‐scale fisheries and territorial development

AbstractIn comparison to the wealth of critical evaluation of LEADER (i.e., Liaison entre actions de développement de l'économie rurale), there has been no consolidated attempt to reflect on the contribution of Fisheries Local Action Groups (FLAGs), now entering their third EU programming period. Set up in the image of LEADER, and a novel governance instrument within the Common Fisheries Policy (CFP), FLAGs aim to activate local responses that build resilience and adaptability within the fisheries sector and wider communities. In addition to introducing the accompanying articles that make up this special issue of Sociologia Ruralis, our article gives an account of the emergence of community‐led local development (CLLD) in fisheries and the attributes that have characterised the application of the LEADER approach within a fisheries‐territorial development context. In many cases, FLAGs have led to improved relationships between the small‐scale fishing sector and wider local social and economic networks, helping the sector reimagine its role within local economies. Yet outcomes vary as the FLAG approach has been applied across different cultural and institutional settings. There are indications that the system is becoming enveloped by wider priorities of coastal development and blue growth. Yet FLAGs may well provide a successful test case for widening participation in the CFP and upscaling integration of the fishing industry within local and regional economies. For CLLD in general, they are a reminder of the value of a differentiated CLLD approach tailored to different sectoral‐territorial contexts.

Growers’ perceptions and attitudes towards fungicide resistance extension services

Agricultural extension services have been successful in promoting knowledge sharing and innovation in agriculture. However, the adoption of new agricultural practices, particularly in integrated pest management, has been slow. Using a case study with a co-designed survey instrument, this research aimed to understand how growers in the Southwest Western Australian Grainbelt access information and resources to manage fungicide resistance. We found that the growers rely on a combination of paid agronomists, government or research institutes, local grower groups, and field days for fungicide resistance information. Growers seek information from trusted experts who can simplify complex research, value easy-to-understand communication and prefer resources tailored to their local context. Additionally, growers valued information regarding new fungicide developments and having access to rapid fungicide resistance diagnostic services. These findings highlight the importance of providing growers with effective agricultural extension services to manage the risk of fungicide resistance.

Mathematical Modeling of Robotic Locomotion Systems

This article deals with the presentation of an alternative approach that uses methods of geometric mechanics, which allow one to see into the geometrical structure of the equations and can be useful not only for modeling but also during the design of symmetrical locomotion systems and their control and motion planning. These methods are based on extracting the symmetries of Lie groups from the locomotion system in order to simplify the resulting equations. In the second section, the special two-dimensional Euclidean group SE2 and its splitting into right and left actions are derived. The physical interpretation of the local group and spatial velocities is investigated, and by virtue of the fact that both of these velocities represent the same velocity from a physical point of view, the dependence between them can be found by means of the adjoint action. The third section is devoted to the modeling and analysis of the planar locomotion of the symmetrical serpentine robot; the positions and local group velocities of its links are derived, the vector fields for the local connections are given, and the trajectories of the individual variables in the lateral movement of the kinematic snake are shown. At the end of the article, the overall benefits of the scientific study are summarized, as is the comparison of the results from the simulation phase, while the most significant novelty compared to alternative publications in the field can be considered the realization of this study with a description of the relevant methodology at a detailed level; that is, the locomotion results confirm the suitability of the use of geometric mechanics for these symmetrical locomotion systems with nonholonomic constraints.

MOTIVATIONAL FACTORS INFLUENCING UNDERGRADUATE STUDENTS TO PURSUE DENTISTRY AS FUTURE CAREER AT UKRAINIAN UNIVERSITIES

People have various motivations and perceptions when choosing a future career. The purpose of this article is to compare the motivational factors for selecting dentistry as a career among local and international students at Ukrainian universities. A qualitative design was employed, using a 24-item questionnaire with closed-ended questions to survey Master's degree students in Dentistry. Students' perceptions of motivational factors were assessed on a five-point Likert scale. Statistical analysis, including the χ2-test and regression analysis, was conducted to identify differences. A total of 121 local and 59 international students participated in the questionnaire about motivation factors for pursuing dentistry. In the local group, 69.42% were female and 30.58% were male, while the international group comprised 32.20% females and 67.80% males. No significant differences were found between local and international students regarding professional status, income potential, entrepreneurial opportunities, practical skills, desire to work in healthcare, desire to work with people, or the wish to provide public service (P>0.1). However, international students expressed higher agreement regarding personal experiences with dental care and work experience. Conversely, local students placed less importance on factors like influence from friends and personal advice compared to international students. Recommendations for promoting education at the university include highlighting the professional status and income potential of dentistry, promoting practical skills development, and emphasizing the social value of the profession. To attract applicants from abroad, messaging about personal experiences in dentistry and graduates' recommendations on social networks could be effective strategies.

Feasibility of tension-free repair of inguinal hernia in senile patients under ultrasound-guided local nerve block.

The clinical characteristics of open hernia repair under local nerve block guided by ultrasound and epidural anesthesia under daytime surgery mode were compared and analyzed, and the safety, rationality and effectiveness of tension-free repair of inguinal hernia in elderly patients under local nerve block guided by ultrasound were discussed. The clinical data of 200 patients who underwent inguinal hernia day surgery in Liaocheng People's Hospital Affiliated to Shandong First Medical University from January 2022 to October 2022 were retrospectively analyzed, including 150 patients who underwent local anesthesia block surgery and 50 patients who underwent epidural surgery. The visual analog score of the ultrasound local anesthesia group was lower than that of the epidural surgery group at 4h after operation. The time of getting out of bed and postoperative exhaust were shorter than those of epidural operation group. The recovery rate of unrestricted activity 2weeks after surgery was higher than that in epidural surgery group (P < 0.05). The incidence of postoperative acute urinary retention between the two groups was lower in local ultrasound anesthesia group, and the difference was statistically significant (P < 0.05). The median follow-up time was 4(1-6) months, and the follow-up rate was 100%. Postoperative complications were seroma, wound infection, chronic pain and recurrence, and there was no statistical significance between the two groups (P > 0.05). No serious complications occurred in both groups. Compared with open epidural surgery, ultrasound-guided local nerve block tension-free day surgery in the elderly has the advantages of less pain, faster recovery, and is safe and feasible.

The flavor transition process b → sγ in the U(1)XSSM with the mass insertion approximation

People extend the MSSM with the local gauge group U(1)X to obtain the U(1)XSSM. In the framework of the U(1)XSSM, we study the flavor transition process b→sγ with the mass insertion approximation (MIA). By the MIA method and some reasonable parameter assumptions, we can intuitively find the parameters that have obvious effect on the analytic results of the flavor transition process b→sγ. By means of the influences of different sensitive parameters, we can obtain reasonable results to better fit the experimental data.

Towards a sustainable business model for rubber agroforestry in Indonesia

Agroforestry systems, particularly rubber agroforests, are crucial for Dayak communities in Indonesia, providing economic benefits and vital assets for their livelihoods. Two common types in Simpang Dua sub-district are tembawang (traditional fruit gardens) and rubber agroforests. Both have flourished for generations but they now face threats of conversion due to declining rubber prices and the oil palm boom. Tembawang is considered more resilient due to better protection of tenure rights under local customary law and its greater provision of socioeconomic benefits. In some instances, rubber agroforests are only maintained because of their deep rooted social and cultural importance, but they have potential to still be economically valuable. Rubber agroforests can provide a diversified income, offering resilience against volatile rubber markets, and although oil palm provides higher income in the short term, rubber agroforests can provide higher income over the entire system cycle. Long-term financing is essential to improve yields and product quality, to support smallholder rubber agroforests, but obtaining this type of financing is difficult. Obstacles include low rubber prices, poor-quality latex, a lack of productivity of agroforestry crops and low attention from investors, financiers, and markets. Non-commercial financial support, including technical support, could help strengthen farming practices and market-based instruments, including carbon payments, could help stabilise farmers' income. The expansion, however, of large-scale oil palm plantations has shifted the rural labour force from rubber smallholders to plantation workers. Efforts to address these challenges include the establishment of a rubber processing and collective marketing unit, UPPB, to improve market access and prices for smallholder farmers. Founded in 2022, the unit aims to arrange collective marketing and provide technical capacity for farmers to meet the specifications of Standard Indonesia Rubber. By aggregating rubber slabs, farmers can earn up to 25% higher prices than individual farmers, but irregular supplies from farmers and low prices are affecting their success. Despite facing challenges, local farmers' groups remain resilient in organising themselves to improve their systems with the support of NGOs. Commitment from government and private sector stakeholders is additionally needed to further promote sustainable and inclusive rubber agroforestry businesses.

A trail leading home. Analysing the evolution of Mpox risk narratives and targets of blame in UK media

This research is interested in the ways the media ‘holds together’ science, history, and culture in the coverage of a new and frightening disease outbreak. Building on previous studies, which have shown that meanings given to an epidemic take shape within pre-existing geographies of hope and blame, and drawing upon Douglas’ understanding of risk and blame, this article explores the relation between perceived epidemic risk, outbreak narratives and accusation. It analyses how different outbreak risk narratives evolved in UK media articles (n = 227) during the first three months of the 2022 Mpox outbreak. Findings highlight a shifting accusatory dynamic in narrative framings over time. They illustrate that as the epidemic risk was framed as increasing, the most prominent narratives shift from the accusation of distant racialised others to an increasingly ‘proximal blame’ tendency, which initially targets marginalised local groups, followed by societal structures and institutions. We argue that this general trend of meaning-making and blame during epidemics is historically recurring and, considering this chronic reaction to outbreak risk, we conclude by suggesting potential avenues of thought for communication strategies.

Spatial and temporal patterns and driving factors of forest fires based on an optimal parameter-based geographic detector in the Panxi region, Southwest China

BackgroundThe Panxi region in China is among the areas that are most severely impacted by forest fires. Despite this, there is currently a lack of comprehensive and systematic research on the spatial and temporal distribution patterns, as well as the drivers, of forest fires in the region. To reveal bio-geo-climatic and anthropogenic influences, this study investigated the temporal and spatial characteristics of forest fires and migration patterns of the center of gravity of forest fires in Panxi. A parametric optimal geographical detection model was utilized to quantify the influence of various individual factors and their combinations on the spatial patterns of forest fire occurrence in the whole Panxi region and sub-region, by analyzing the forest fire dataset from 2004 to 2020.ResultsFrom 2004 to 2020, the Panxi region experienced an upward trend in the number of forest fires and the area burned. However, the trends were not consistent over the entire period. Between 2004 and 2014, both the number of fires and the area burned showed fluctuations and an overall increase. In contrast, between 2015 and 2020, there was a significant decrease in the number of fires, while the area burned showed a continued upward trend. The study identified abrupt changes in the frequency of forest fires and burned areas, primarily in 2007 and 2016. Spatially, forest fires in Panxi exhibited a positive correlation and local clustering. The river valley basin and hilly regions displayed a higher incidence of forest fires, which were concentrated mainly along the hill edges. In the whole area of Panxi, climatic factors have a predominant influence on forest fire occurrences. Specifically, evaporation, maximum temperature, average temperature, number of days without rain, and minimum temperature demonstrated the strongest explanatory power. Furthermore, this relationship was found to be reinforced when combined with topographical, human activities, and vegetation factors. The spatial variation of drought within each sub-district has a stronger explanatory power for the distribution characteristics of forest fires in the region than at the Panxi-wide scale. The factor with the maximum interaction in most regions was the dual factor of rainfall and drought.ConclusionsThe study’s findings validate the applicability of geographic probes for identifying the drivers of fire occurrence and enhance our understanding of the drivers and their combined effects on the spatial context of the fire-incident study area.

Young people's experiences of physical activity insecurity: a qualitative study highlighting intersectional disadvantage in the UK

BackgroundIntersecting socioeconomic and demographic reasons for physical activity (PA) inequalities are not well understood for young people at risk of experiencing marginalisation and living with disadvantage. This study explored young people’s experiences of PA in their local area, and the associated impacts on opportunities for good physical and emotional health and wellbeing.MethodsSeven local youth groups were purposefully sampled from disadvantaged areas across urban, rural and coastal areas of England, including two that were specifically for LGBTQ + young people. Each group engaged in three interlinked focus groups which explored young people’s perceptions and lived experience of PA inequalities. Data were analysed using an inductive, reflexive thematic approach to allow for flexibility in coding.ResultsFifty five young people aged 12–21 years of different sexualities, gender and ethnicity took part. Analysis yielded four themes: PA experiences across spaces; resigned to a lack of inclusivity and ‘belonging’; safety first; complexities in access and accessibility. Young people felt more comfortable to be active in spaces that were simpler to navigate, particularly outdoor locations largely based in nature. In contrast, local gyms and sports clubs, and the school environment in general, were spoken about often in negative terms and as spaces where they experienced insecurity, unsafety or discomfort. It was common for these young people to feel excluded from PA, often linked to their gender and sexuality. Lived experiences or fears of being bullied and harassed in many activity spaces was a powerful message, but in contrast, young people perceived their local youth club as a safe space. Intersecting barriers related to deprivation, gender and sexuality, accessibility, disability, Covid-19, affordability, ethnicity, and proximity of social networks. A need emerged for safe spaces in which young people can come together, within the local community and choose to be active.ConclusionsThe overarching concept of ‘physical activity insecurity’ emerged as a significant concern for the young people in this study. We posit that PA insecurity in this context can be described as a limited or restricted ability to be active, reinforced by worries and lived experiences of feeling uncomfortable, insecure, or unsafe.

Generating random complex networks with network motifs using evolutionary algorithm-based null model

Network motifs in complex networks signify critical patterns of connections essential for deciphering system dynamics. Identifying and understanding these rare and elusive motifs is crucial for analyzing complex network behaviors. Our previous research has established a significant positive correlation between the occurrence of motifs and two network properties at the micro level, namely Assortativity Degree (ρ) and Local Clustering Coefficient (CCl) (Mursa, 2019b; Mursa, 2019c; Mursa, 2019a; Mursa, 2021). Making use of these findings, in this paper, we present a novel null model, MuAn, which leverages Evolutionary Algorithms to produce synthetic networks with topologies that are characterized by high values of ρ and CCl, facilitating the emergence of network motifs. A comprehensive experiment validates our proposed null model quality in generating networks with motifs through fine-tuning the EA configuration for precise and optimal outcomes and a comparative analysis with other well-known null models. The proposed model offers a promising avenue to advance motif analysis by enabling the generation of synthetic networks with motifs, expediting investigations on gene regulatory networks, transcriptional networks, drug-target networks, artificial neuronal networks, and other domains wherein motif-driven analysis is pivotal to unraveling their intrinsic complexities.

A retrospective clinico epidemiological study of leprosy cases treated at tertiary care hospital Tirupur

Leprosy is a chronic communicable disease caused by Mycobacterium Leprae. The disease mainly affects the skin, peripheral nerves, mucosal surfaces of the upper respiratory tract, and eyes. Aim is to describe the clinical-epidemiological profile, and type of MDT given for leprosy cases treated at tertiary care hospital Tirupur. A Retrospective study was done by obtaining records of all leprosy patients from the OP Leprosy registration card for a duration of one year from April 2021 – March 2022 were included in the study. The details of patients such as clinical and epidemiological profile were noted and descriptive analysis was done. During the study period, 35 cases of leprosy were included in the study. Majority of the cases were in age group 18 – 45 years. Male female sex ratio was found to be 2.5:1 and no childhood leprosy was recorded. Lepromatous leprosy was the most common type noted in this study. MB MDT was given in most patients. Grade 1 disability was recorded highly than grade 2. Type 1 reaction was found to be more and majority of the cases were noted in local group compared to migratory group. The present study provides an insight into the disease burden as well as the effectiveness of the health-related services at a tertiary care hospital, Tirupur. The study also highlights the early diagnosis and management of leprosy and the importance of the surveillance activity, thereby minimizing the risks of leprosy in Tirupur.

Exploring brain network oscillations during seizures in drug-naïve patients with juvenile absence epilepsy.

We aimed to investigate the brain network activity during seizures in patients with untreated juvenile absence epilepsy. Thirty-six juvenile absence epilepsy (JAE) patients with a current high frequency of seizures (more than five seizures during a 2 h EEG examination) were included. Each participant underwent a 2 h video EEG examination. Five 10 s EEG epochs for inter-ictal, pre-ictal, and post-ictal, and five 5 s EEG epochs for ictal states were extracted. Five 10 s resting-state EEG epochs for each participant from a sex- and age-matched healthy control (HC) were enrolled. The topological parameters of the brain networks were calculated using a graph theory analysis. Compared with the resting state of the HC group, the global efficiency, local efficiency, and clustering coefficients of the JAE group decreased in the inter-ictal state. In addition, the ictal state showed significantly increased global and local efficiency and clustering coefficients (p < 0.05) and a decreased small-world index and the shortest path length (p < 0.05) in the theta and alpha bands, compared to the remaining states within the JAE group. Moreover, subgroup analysis revealed that those JAE patients with typical 3 Hz discharges had upgraded global efficiency, local efficiency, and clustering coefficients in both delta and beta1 bands, compared to those JAE patients with non-3 Hz discharges during seizures. The present study supported the idea that the changes in the EEG brain networks in JAE patients are characterized by decreased global and local efficiency and clustering coefficient in the alpha band. Moreover, the onset of seizures is accompanied by excessively enhanced network efficiency. JAE patients with different ictal discharge patterns may have different functional network oscillations.

Why Mature Galaxies Seem to Have Filled the Universe Shortly After the Big Bang — A New Cosmological Model, that Predicted the JWST Observations

The Azimulthal Hyper-Projection (AHP) onto spacetime Model of Cosmology is just an extension of the familiar Atlas map of a globe in geography. The Atlas is an azimuthal projection of 3 spacial dimensions projected onto a 2 dimensional plane. The important feature of an Atlas is that the geometry expands asymptotic toward the horizon, and is therefore POSITIONALLY DEPENDENT, such that if North America is centrally positioned, then Siberia and Alaska are viewed as extremely remote. Thus if the Bering Strait were centrally positioned, then longitudinal meridians of North America would likewise be viewed as being remotely separated. AHP extends this concept to a hyper-projection of 5 dimensions onto spacetime. However as viewed in spacetime, geodesics appear to be expanding outward in 3 dimensional space away from the observer. Thus by extension, AHP is also POSITIONALLY DEPENDENT, such that the separations between remote galaxies appear (measures) to be much greater than they would appear from their mutual local group, and vice versa our local group of galaxies would appear to be mutually separated with extreme distances from a remote perspective. A proposed experiment (figure 14) is offered to prove that two separated objects, as measure from a remote distance \((\sim 40 AU)\) are greater than their respective distance, as measured locally. Red-shifting is alternatively proposed as azimuthal angular projections of wavelengths \(\lambda\). Magnitude is alternatively proposed as a function of Lambert's cosine law of illumination, over expanding geodesics. From established \(z\) values, the Universal hypersphere is calculated (figure 9). A function of this projected hypersphere is shown to match the Universal expansion rate, as established from supernova cosmology survey points, and also satisfies the Cosmological Constant \(\Lambda\), without dark energy. Flattened galaxy rotation curves are simply and accurately explained as measured expanding geodesics and apparent increasing density, along the observer's line of sight (figure 11, equation 20). As well, this model provides a reasonable explanation of the James Web Space Telescope findings: of maturely developed galaxies at the time of the early universe. The justification of such a radically novel model is from recent observations from the first dataset, provided by NASA's James Webb Space Telescope (JWST) of six massive galaxies, at a time in the early universe, seem to defy conventional cosmological models, as they appear to be as mature and developed as our own local group. Such unexpected discoveries JUSTIFY A RADICALLY NOVEL MODEL OF COSMOLOGY. TO QUOTE JOEL LEJA, ASSISTANT PROFESSOR OF ASTRONOMY AND ASTROPHYSICS AT PENN STATE “IT TURNS OUT WE FOUND SOMETHING SO UNEXPECTED IT ACTUALLY CREATES PROBLEMS FOR SCIENCE. IT CALLS THE WHOLE PICTURE OF EARLY GALAXY FORMATION INTO QUESTION”.

Strategi Klasterisasi UMKM Berbasis Kearifan Lokal pada Kabupaten dan Kota di Provinsi Jambi

This study aimed to assess how local wisdom integration and clustering strategies impact the performance of Micro, Small, and Medium Enterprises (MSMEs) in Jambi Province, using a mixed-method approach. It was found that both local wisdom and clustering significantly enhance MSME performance by adding value, differentiating products, and improving access to resources, innovation, and operational efficiency. The research underscores the critical role these strategies play in MSME development. Consequently, it suggests that MSME managers, investors, and policymakers should support initiatives promoting the integration of local wisdom and the development of clusters to boost MSME competitiveness and growth in Jambi Province. This approach demonstrates a viable pathway for MSMEs to enhance their performance and sustainability.

Exploring the County Level Mortality Pattern Variations in Rural Areas of Iran (2006- 2016).

Mortality rate in rural areas is a useful measure of the health of the population and the function of the health system, which varies over space and time. The objective of this research is to explore the spatial and temporal variations in the rural mortality rate in Iran at the county level in 2006, 2011 and 2016. data were gathered from the rural population and mortality statistics published by the Statistical Centre of Iran and the National Organization for Civil Registration. Global spatial patterns were assessed using the Global Moran's I and local clusters through the Local Moran' I. Spatial distribution of rural mortality rate shows that during the years under study the number of counties with a lower rate has increased. The counties with rate of less form continuous areas in the southwest, central and east regions. The excess risk map reveals significant variations in both value and extent. Also, the values of Moran's index increased from 0.1848 in 2006 to 0.4041 in 2016, which indicates the strengthening of the cluster spatial pattern of the overall rural mortality rate. Local patterns have undergone substantial changes over space and time. The findings indicate significant spatial and temporal variations in rural mortality rates in Iran. Policymakers can use this information to plan and enhance healthcare infrastructure in specific counties. The findings serve for evaluating the effectiveness of health policies, enabling policymakers to make informed decisions, allocate resources efficiently and design targeted interventions for improved public health outcomes.