Strong Connection Research Articles

“I Figured It Might Be Because We Are Rural”: A Qualitative Study of Barriers and Opportunities Related to Home-Based Personal Assistance Services

Personal care assistance (PCA) provides vital support so rural disabled people and older adults can live in their communities. Currently, the state of home and community-based services in the United States is dire, with major shortfalls in access and utilization of these services. Moreover, little is known about the experiences of people living in rural areas who need paid, in-home assistance with activities of daily living. Because rural areas are often underserved and under-resourced, this study aimed to understand the experiences of rural users of personal care assistance services to inform the development of a training for rural people. Between February and November of 2021, 38 semi-structured qualitative interviews were conducted with 40 self-identified rural-dwelling people across the United States who use paid PCAs. Interview topics included finding, hiring, and training workers; worker qualities; and how living in a rural place impacted PCA services. Using thematic coding, results highlight how rurality intersected with participants’ daily experiences. Respondents identified 3 barriers to getting PCA services: (1) lack of transportation and travel distance, (2) worker shortages, and (3) fewer local community services; and one facilitator of obtaining PCA services: strong community connection. Additionally, some aspects of rural culture—such as valuing a slower pace of life, independence, and rugged individualism—presented both barriers and opportunities for rural PCA recipients. As the home care worker shortage crisis in the United States is expected to worsen in coming decades, rural people needing PCA services face unique circumstances related to place and culture.

A Cognitive Study of Deixis in TG Klune’s the House in the Cerulean Sea

This paper investigates the cognitive and linguistic features of deixis in T.J. Klune's The House in the Cerulean Sea. It examines how personal, temporal, geographical, rhetorical, and social deixis can enhance narrative immersion and reader engagement. The study uses mixed method to categorize deictic elements in the book. It argues that deictic shifts improve the reader's experience and narrative structure. By measuring the frequency and impact of deictic expressions, the study highlights their role in adjusting narrative pace, deepening thematic resonance, and engaging readers both intellectually and emotionally. The careful use of deictic phrases, especially those tied to interpersonal and geographical aspects, creates strong human connections and vivid setting descriptions. This intentional arrangement forms deep emotional bonds between readers and characters, leading to a rich and engaging environment. The paper explains how language and cognition enhance immersive reading experiences through emotional involvement and narrative understanding. Deictic changes show how narrative techniques affect reader engagement and the quality of the story.

Altered circadian expression of clock genes and clock-regulatory epigenetic modifiers in saliva of children with fetal alcohol spectrum disorders

Prenatal alcohol-exposed (AE) infants and children often demonstrate disrupted sleep patterns, including more frequent awakenings, reduced total sleep time, and more night-to-night sleep variability. Despite the strong connection between sleep patterns and circadian rhythmicity, relatively little is known about circadian rhythm disruptions in individuals with AE. Recently, several reports demonstrated that evaluating the expression patterns of human clock genes in biological fluids could reveal an individual’s circadian phenotype. Human saliva offers an emerging and easily available physiological sample that can be collected non-invasively for core-clock gene transcript analyses. We compared the expression patterns of core-clock genes and their regulatory genes in salivary samples of children aged 6–10 years-old with and without AE during the light cycle between ZT0-ZT11. We isolated the RNA from the samples and measured the expression patterns of core clock genes and clock regulating genes using the human specific primers with quantitative real-time PCR. Analysis of core clock genes expression levels in saliva samples from AE children indicates significantly altered levels in expression of core-clock BMAL1, CLOCK, PER1-3 and CRY1,2, as compared to those in age-matched control children. We did not find any sex difference in levels of clock genes in AE and control groups. Cosinor analysis was used to evaluate the rhythmic pattern of these clock genes, which identified circadian patterns in the levels of core clock genes in the control group but absent in the AE group. The gene expression profile of a salivary circadian biomarker ARRB1 was rhythmic in saliva of control children but was arhythmic in AE children. Altered expression patterns were also observed in clock regulatory genes: NPAS2, NFL3, NR1D1, DEC1, DEC2, and DBP, as well as chromatin modifiers: MLL1, P300, SIRT1, EZH2, HDAC3, and ZR1D1, known to maintain rhythmic expression of core-clock genes. Overall, these findings provide the first evidence that AE disturbs the circadian patten expression of core clock genes and clock-regulatory chromatin modifiers in saliva.

Unveiling AI's Accent in Spoken English Education

Viewed against the backdrop of the technological landscape, artificial intelligence has become the shining point of the 21st century. In recent years, AI has been pervasively applied into various realms in modern society, among which the incorporation into spoken English education has become one of the most heated topics. To navigate the application of AI in spoken English learning, this paper evaluates the effectiveness based on the Interaction Hypothesis proposed by Michael Long. To be specific, this research focuses on the comprehensive application of AI in the realm of spoken English acquisition, underscoring why AI language models have gained in popularity in innumerable apps concerning language learning and how AI serves as a double-edged sword in spoken English education. By illustrating the language acquisition process, a strong connection between the Interaction Hypothesis and AI-based spoken English learning is constructed and clarified. Through all-round evaluation and analysis, the article concludes that despite challenges, AI has not only acted as a knowledgeable mentor for individual learners,but also provided an effective driving force for the innovation and improvement of spoken English education. In the future, more advancements concerning human-like interactions and immersive learning environment are likely to emerge.

Population genetic structure and historical demography of the population of forest elephants in Côte d'Ivoire.

The population of forest elephant (Loxodonta cyclotis) has continuously declined in Côte d'Ivoire and, the remaining population largely consists of subpopulations that are fragmented and isolated. No data actually exist on the level of genetic diversity and population genetic structure of current forest elephant populations in Côte d'Ivoire. In this sense, determining genetic diversity and the underlying mechanisms of population differentiation is crucial for the initiation of effective conservation management. A total of 158 dung samples of forest elephants were collected at stage 1 of decompositions (dung pile intact, very fresh) in three Classified Forests (CF) (Bossématié, Dassioko and Port-Gauthier) in Côte d'Ivoire. A total of 101 sequences of the mitochondrial DNA control region measuring 600 base pair and 26 haplotypes were obtained. A haplotypic diversity ranging from 0.655 ± 0.050 at Bossématié and 0.859 ± 0.088 at Port Gauthier was obtained. Fifteen (15) out of 26 haplotypes observed were singletons and only the Dassioko and Port Gauthier CFs shared the same haplotypes. The strong genetic connectivity between forest elephant populations of the Dassioko and Port Gauthier CFs is supported by the grouping of these populations into a single cluster by Bayesian analysis. Although populations of L. cyclotis exhibit relatively high genetic diversity, habitat fragmentation could affect the genetic variability of current populations. Urgent measures including the reinforcement/establishment of genetic corridors and the strengthening of protection measures need to be undertaken to save the remaining populations of forest elephants in Côte d'Ivoire.

UNVEILING THE MULTIGENERATIONAL LIVING: IMPACTS ON THE FAMILY DYNAMICS AND RELATIONSHIPS

It is a global trend now that multigenerational households are multiplying; the same situation has become rife in Pakistan. This research analyzes the effect of intergenerational cohabitation on the family relations, caregiving arrangements, etc. A mixed methods approach, comprised of surveys and in-depth interviews, was employed to explore the factors affecting family dynamics in multigenerational households. They conclude that this type of household encourages strong family connections and tradition but can also present struggles with independence and privacy for both the parents and their adult children and culture clashes. The study explores how cultural norms and local economic factors impact the multigenerational lifestyles of families. The results of study provide significant information in obtaining the required information and reaching desired conclusion and extracting certain recommendations based on the outcomes. This is important as these findings could inform the future policies in addressing multigenerational households in tailor-made format in Pakistan to support the family well-being, fostering the empirical basis and ultimate separate focus upon each generation.

A Dual-Fluorescence Molecular "Open Bridge" for Evaluating Gestational Hypoxia and Hypertension under the Stress of SARS-Cov-2.

Gestational hypertension is a dangerous condition that is sometimes fatal to the mother and her unborn off-spring. The strong connection between hypertension and hypoxia is emphasized by the currently rampaging SARS-Cov-2, which can induce similar conditions, in which hemolysis and the subsequent oxidative damage may release hemoglobin and tissue factor into the serum. To detect these dangerous proteins normally absent from serum, we mimic the molecular pathology of hypoxia, resulting in a synthesizable molecular machine around which a new bioassay can be designed to simultaneously detect the two proteins in a one-step and reagentless fashion. The "open bridge"-like probe can split into two upon ATP-induced cross-linking of hemoglobin to the probe. The covalently captured hemoglobin can subsequently use its peroxidase-like activity to induce a second cross-coupling between the probe and the tissue factor. A fluorescent probe-target covalent complex is formed, enabling thorough rinsing to minimize nonspecific interference. Finally, using hemoglobin's peroxidase activity to improve sensitivity, the assay has been successfully applied in detecting the two proteins in the periphery serum of pregnant women. These results may promise a near future application of the proposed method for providing an early warning for gestational hypoxia and hypertension, particularly under the stress of SARS-Cov-2.

Correlating Ultrastability with Fragility and Surface Mobility in Vapor Deposited Tetrahedral Glasses.

Several experiments on molecular and metallic glasses have shown that the ability of vapor deposition to produce ultrastable glasses is correlated to their structural and thermodynamic properties. Here we investigate the vapor deposition of a class of tetrahedral materials (including silicon and water) via molecular dynamics simulations of the generalized Stillinger-Weber potential. By changing a single parameter that controls the local tetrahedrality, we show that the emergence of ultrastable behavior is correlated with an increase in the fragility of the model. At the same time, while the mobility of the surface compared to the bulk shows only slight changes at low temperature, with increasing the tetrahedrality, it displays a significant enhancement toward the glass transition temperature. Our results point toward a strong connection between bulk dynamics, surface dynamics, and glass-ultrastability ability in this class of materials.

Physical model investigation of a hybrid GRS integral bridge abutment under cyclic thermal stresses

GRS integral bridge abutments develop large lateral earth pressure on the facing during seasonal/diurnal thermal expansion/contraction, causing significant surface settlements. To mitigate these issues, researchers prefer the use of different kinds of facing to withstand lateral pressure in conjunction with reinforcing of backfill to reduce surface settlement. The present research investigates the performance of a hybrid integral abutment under lateral movement of the facing due to cyclic thermal expansion/contraction of the bridge deck through scaled down 1 g physical model tests. Using the optimized facing and reinforcement configuration, an integral abutment model was proposed and analyzed under varying rate of loading and different loading offsets for three displacement modes till 100 cycles of excitation. The assessment included the development of lateral pressure on facing, surface settlement, magnitude and location of peak reinforcement forces, followed by evaluating long-term performance in terms of permanent strains, stiffness degradation, and strain energy dissipation. The observations revealed that the proposed model having strong connection between the reinforcement and facing along with inclusion of secondary reinforcements along the entire height of abutment in the bearing zone exhibits rapid dissipation of accumulated strain energy, leading to a 48 % reduction in surface settlement under cyclic thermal stresses.

Fostering healthy outcomes in hotels: The effects of healthy organizational resources on employees’ stress reduction, resilience, and task performance

This study aims to learn from past global health crises, encouraging industry leaders worldwide to take proactive steps in implementing extra health and safety measures for future potential crises. The research employs a quantitative approach to investigate a proposed model suggesting that hotel employees’ adherence to health and safety regulations is contingent on the availability of supportive organizational resources. An electronic questionnaire was administered to hotel employees in Egypt, resulting in 213 valid responses. The data was analyzed using SPSS 25 and AMOS 24. The findings indicate a strong connection between health and safety training, health and safety resources, and health and safety compliance. Additionally, the results reveal direct and significant links between health and safety compliance, stress reduction, improved employee resilience, and enhanced task performance. Moreover, significant indirect effects were found between health and safety training, health and safety resources, and healthy organizational outcomes, with health and safety compliance serving as a mediator. The current study provides a valuable theoretical and practical contribution on employee motivation to comply with health standards, employee-organization interactions, resilience, and crisis management to better prepare for future health crises.

Investigation of the Effects of Energy-Efficient Drying Techniques and Extraction Methods on the Bioactive and Functional Activity of Banana Inflorescence

Plant-derived foods with therapeutic potential have strong connection with both the pharmaceutical and nutraceutical industries. The effectiveness of these therapeutic properties is heavily influenced by the thermal treatment during drying and extraction methods. Traditional convective drying is a very energy incentive and lengthy process. Although some advanced and hybrid drying methods have been developed, these have not been applied in drying of banana inflorescence. In this study, we investigated the effects of freeze-drying (FD) and intermittent microwave convective drying (IMCD), as well as traditional convective oven drying (CD), on the polyphenol profile of banana inflorescence when extracted using the energy-efficient Accelerated Solvent Extraction method (ASE). Our findings revealed that the freeze-dried banana inflorescence powder exhibited the highest extraction of bioactive compounds when using 75% methanol at 100 °C as a solvent. It recovered 2906.3 ± 20.83 mg/100 g of the phenolic compounds and 63.12 ± 0.25% antioxidant activity under the optimal extraction conditions. While IMCD was found to be the second-best drying method in terms of preserving bioactive compounds, its operational time and cost were significantly lower compared to freeze-drying. Furthermore, our study confirmed the presence of medicinal compounds such as gallic acid, protocatechuic acid, caffeic acid, coumaric acid, catechin, ferulic acid, kaempferol, and quercetin in banana inflorescence. The development of innovative functional foods and pharmaceutical ingredients through green extraction methods and optimal drying conditions holds significant potential to save energy in the process, enhance human health, and promote environmental sustainability and circular economy processes. These efforts align with supporting Sustainable Development Goals (SDGs) 3 and 12.

Relative growth, sexual dimorphism, and sexual maturity of the freshwater shrimp Macrobrachium jelskii (Miers, 1877) (Caridea: Palaemonidae)

ABSTRACT Macrobrachium jelskii is an endemic shrimp species of South America, with a wide geographical distribution. Although there have been some studies on this organism, information regarding the relative growth of body structures has never been fully explored. In this regard, we aim to analyse the relative growth of this species, in order to investigate the developmental pattern between juveniles and adults, as well as to estimate the morphological sexual maturity (MSM). For morphometric analysis and MSM estimation, the following structures were measured: carapace length (CL); abdomen length (AL); propodus (CPL) and dactyl length (DL) of the second pair of pereopods; second pleonal pleuron width (SPW); and appendix masculina length (AML). We observed developmental differences between juveniles and adults, especially in males. The MSM size for males was estimated at 7.47 mm CL, while for females it was 8.77 mm CL. Females exhibit significantly larger sizes compared to males. Our study reveals divergent energy allocation between juvenile and adult M. jelskii, with males and females reaching MSM at different sizes. The development of these structures with varying allometric constants throughout life stages suggests a strong connection to reproductive behaviour, meeting the specific needs of each life stage’s behavioural repertoire.

Leaf trait networks shift toward high modularity during the succession of a subtropical forest, in southwest China

During the process of forest succession, coexisting plant species fulfill diverse functions by modifying the interrelationships among functional traits. Examining the interrelationships of functional traits across multiple dimensions would enable a comprehensive understanding of the plants’ adaptive strategies during forest succession. Plant trait networks (PTNs) comprehensively capture and visualize these intricate relationships among functional traits. Nonetheless, the changes in PTNs during forest secondary succession remain unclear. In this study, we measured 24 functional traits related to leaf resource acquisition, photosynthesis, hydraulics, and physical defense across tree species at three successional stages: young forest (YF), intermediate forest (IF), and old-growth forest (OF) in the Ailao Mountains, Southwest China. We established leaf trait networks (LTNs) to investigate the interrelationships among functional traits during forest succession. Our results revealed a decrease in the Edge Density decreased and an increase in the Modularity as succession advanced. In the YF stage, leaf nitrogen, photosynthetic rate, and force to punch were the hub traits; whereas, canopy exposure and leaf dry mass were highly connected traits in the IF and OF stages, respectively. The connectivity of highly connected traits was related to the plant’s life-history strategies and environmental adaptations at different successional stages. In terms of the importance of the four trait dimensions, resource acquisition and photosynthetic traits consistently demonstrated strong connectivity within LTNs throughout the succession. We concluded that co-occurring tree species adapted to the changing environmental conditions by adjusting trait modules through alternative strategies during secondary succession. Specifically, resource acquisition and trait coordination were more advantageous in the YF stage, while higher modularity offered greater opportunities for niche differentiation in the OF stage. This study provides new insights into exploring the mechanisms of forest succession through the analysis of trait correlation networks.

The critical mediating roles of the middle temporal gyrus and ventrolateral prefrontal cortex in the dynamic processing of interpersonal emotion regulation

Interpersonal emotion regulation (IER) is a crucial ability for effectively recovering from negative emotions through social interaction. It has been emphasized that the empathy network, cognitive control network, and affective generation network sustain the deployment of IER. However, the temporal dynamics of functional connectivity among these networks of IER remains unclear. This study utilized IER task-fMRI and sliding window approach to examine both the stationary and dynamic functional connectivity (dFC) of IER. Fifty-five healthy participants were recruited for the present study. Through clustering analysis, four distinct brain states were identified in dFC. State 1 demonstrated situation modification stage of IER, with strong connectivity between affective generation and visual networks. State 2 exhibited pronounced connectivity between empathy network and both cognitive control and affective generation networks, reflecting the empathy stage of IER. Next, a ‘top-down’ pattern is observed between the connectivity of cognitive control and affective generation networks during the cognitive control stage of state 3. The affective response modulation stage of state 4 mainly involved connections between empathy and affective generation networks. Specifically, the degree centrality of the left middle temporal gyrus (MTG) mediated the association between one's IER tendency and the regulatory effects in state 2. The betweenness centrality of the left ventrolateral prefrontal cortex (VLPFC) mediated the association between one's IER efficiency and the regulatory effects in state 3. Altogether, these findings revealed that dynamic connectivity transitions among empathy, cognitive control, and affective generation networks, with the left VLPFC and MTG playing dominant roles, evident across the IER processing.

Negotiations and reconciliations in the first year of teaching

This study investigates the lived experiences and developing identities of three secondary first-year teachers, exploring the practices each employed to reconcile expectations of teaching with their realities. Authors present distinct narratives synthesized from weekly reflections and interviews, identifying factors that supported new teacher reconciliation including a strong connection to community, healthy social emotional skills, and the recalibration of the role of curriculum. This study advocates for teacher preparation programs to recognize areas of misaligned expectations and provide support for new teachers in the construction of realistic views of teaching as essential to developing teacher identity and impacting retention.

Biochar and soil contributions to crop lodging and yield performance - A meta-analysis

Applying biochar has beneficial effects on regulating plant growth by providing water and nutrient availability for plants due to its physicochemical characteristics. Nevertheless, it is still unclear how soil and biochar interactions strengthen crop lodging resistance. The objective of the current study was to find out how soil physicochemical conditions and alterations in biochar affect lodging resistance and crop productivity in cereals. To do this, a meta-analysis was carried out using nine groups of effective variables including type of feedstock, pyrolysis temperature, application rate, soil pH, total nitrogen, available phosphorus, potassium, organic matter (OM), and soil texture. Results showed that straw-derived biochar caused the highest positive effect size in the dry weight of biomass (20.5%) and grain yield (19.9%). Also, the lowest lodging index was observed from straw (−8.3%) and wood-based (−5.6%) biochars. Besides, the high application rate of biochar results in the highest positive effect sizes of plant cellulose (8.1%) and lignin content (7.6%). Soils that contain >20 g kg−1 OM, resulted in the highest positive effect size in dry biomass (27.9%), grain yield (30.2%), and plant height (4.7%). Also, fine-textured soil plays an important role in increasing polymers in the anatomical structure of plants. Overall, the strong connection between biochar and soil processes, particularly the availability of OM, could strengthen plants' ability to tolerate lodging stress and contribute to high nutrient efficiency in terms of crop output and cell wall thickening.

New insights into the mechanisms and therapeutic strategies of chondrocyte autophagy in osteoarthritis.

Osteoarthritis (OA) is a chronic joint disease with an unclear cause characterized by secondary osteophytes and degenerative changes in the articular cartilage. More than 250 million people are expected to be affected by it by 2050, putting a tremendous socioeconomic strain on the entire world. OA cannot currently be treated with any effective medications that change the illness. Over time, chondrocytes undergo gradual metabolic, structural, and functional changes as a result of aging or abuse. The degenerative progression of osteoarthritis is significantly influenced by the imbalance of chondrocyte homeostasis. By continuously recycling and rebuilding macromolecules or organelles, autophagy functions as a crucial regulatory system to maintain homeostasis during an individual's growth and development. This review uses chondrocytes as its starting point and establishes a strong connection between autophagy and osteoarthritis in order to thoroughly examine the mechanisms behind chondrocyte autophagy in osteoarthritis. Biomarkers of chondrocyte autophagy will be identified, and prospective targeted medications and novel treatment approaches for slowing or preventing the course of OA will be developed based on chondrocyte senescence, autophagy, and apoptosis in OA. KEY MESSAGES: Currently, OA has not been treated with any drugs that can effectively cure it. We hope that by exploring specific targets in the course of osteoarthritis, we can promote the progress of treatment strategies. The degenerative progression of osteoarthritis is significantly influenced by the imbalance of chondrocyte balance. Through the continuous recovery and reconstruction of macromolecules or organelles, autophagy is an important regulatory system for maintaining homeostasis during individual growth and development. In this paper, the close relationship between autophagy and osteoarthritis was established with chondrocytes as the starting point, in order to further explore the mechanism of chondrocyte autophagy in osteoarthritis. The development process of osteoarthritis was studied from the perspective of chondrocytes, and the change of autophagy level had a significant impact on osteoarthritis. Chondrocyte autophagy is mainly determined by intracellular mitochondrial autophagy, so we are committed to finding relevant molecules. Through PI3K/AKT- and MAPK-related pathways, the biomarkers of chondrocyte autophagy were identified, and chondrocyte senescence, autophagy, and apoptosis based on osteoarthritis provided a constructive idea for the development of prospective targeted drugs and new therapies to slow down or prevent the progression of osteoarthritis.

A metabolome-wide Mendelian randomization study prioritizes causal circulating metabolites for reproductive disorders including primary ovarian insufficiency, polycystic ovary syndrome, and abnormal spermatozoa

BackgroundAccumulating studies have highlighted the significant role of circulating metabolomics in the etiology of reproductive system disorders. However, the causal effects between genetically determined metabolites (GDMs) and reproductive diseases, including primary ovarian insufficiency (POI), polycystic ovary syndrome (PCOS), and abnormal spermatozoa (AS), still await thorough clarification.MethodsWith the currently most comprehensive genome-wide association studies (GWAS) data of metabolomics, systematic two-sample Mendelian randomization (MR) analyses were conducted to disclose causal associations between 1,091 blood metabolites and 309 metabolite ratios with reproductive disorders. The inverse-variance weighted (IVW) method served as the primary analysis approach, and multiple effective MR methods were employed as complementary analyses including MR-Egger, weighted median, constrained maximum likelihood (cML-MA), contamination mixture method, robust adjusted profile score (MR-RAPS), and debiased inverse-variance weighted method. Heterogeneity and pleiotropy were assessed via MR-Egger intercept and Cochran’s Q statistical analysis. Outliers were detected by Radial MR and MR-PRESSO methods. External replication and metabolic pathway analysis were also conducted.ResultsPotential causal associations of 63 GDMs with POI were unearthed, and five metabolites with strong causal links to POI were emphasized. Two metabolic pathways related to the pathogenesis of POI were pinpointed. Suggestive causal effects of 70 GDMs on PCOS were detected, among which 7 metabolites stood out for strong causality with elevated PCOS risk. Four metabolic pathways associated with PCOS mechanisms were recognized. For AS, 64 GDMs as potential predictive biomarkers were identified, particularly highlighting two metabolites for their strong causal connections with AS. Three pathways underneath the AS mechanism were identified. Multiple assessments were conducted to further confirm the reliability and robustness of our causal inferences.ConclusionBy extensively assessing the causal implications of circulating GDMs on reproductive system disorders, our study underscores the intricate and pivotal role of metabolomics in reproductive ill-health, laying a theoretical foundation for clinical strategies from metabolic insights.

Evaluation of risk factors for childhood myopia progression: A systematic review of the literature.

Myopia is a global public issue with a dramatically increasing incidence. Myopia is currently characterized by its earlier onset, quick development in preschool (0-5 years old), and continued progression particularly during the coronavirus-19 epidemic phase. It has been established that myopia experienced during childhood earlier resulted in vision impairment. In order to intervene in myopia development and offer a novel tool for earlier detection, the review attempts to identify known environmental and genetic risk factors for juvenile myopia (6-18 years old). Medline, Embase, and Web of Science databases were thoroughly searched for articles on myopia that had been published within the previous 10 years. The searches were carried out separately by two experts. The study's inclusion criteria were met by 28 articles. All studies that examined the link between risk factors and myopia were recruited. Parental myopia, near work, time spent outdoors, and a high level of education are all significant risk factors for juvenile myopia. It is clear that there is a strong environmental connection, especially in high myopia; nevertheless, more research is needed to identify any potential links between myopia and screen use. Myopia's genesis and mechanism are ambiguous and unclear. Further genetic studies could aid in examining genes to comprehend the development of myopia.

Blockchain Projects in Environmental Sector: Theoretical and Practical Analysis

The growing interest in environmental sustainability issues and, at the same time, the advantages offered by blockchain technology have strong connections to each other. This study explores the application of blockchain technology across various environmental domains, such as air quality, climate change impacts, and resource management. The research utilised a dual approach, combining a bibliometric analysis with VOSviewer and a topic analysis using BERT models to assess the discourse within both the scientific literature extracted from Scopus and practical blockchain projects obtained from GitHub. The findings reveal that food security, energy, and sustainable agriculture are predominant topics in academic discussions, with a noticeable increase in focus from 2017 onwards. Practical projects are focused on transparent tracking and decentralised management. The overlap between academic and practical spheres is evident in the shared focus on energy and environmental management, demonstrating blockchain’s growing role in addressing global environmental challenges. This study underscores the importance of integrating theoretical research with practical implementations to harness blockchain’s full potential in promoting sustainable environmental practices.