Environmental Sensitivity Research Articles

Lombalgia crônica e sua condução clínica

Chronic low back pain is a multifactorial condition that affects the spine and has a complex pathophysiological basis. This article aims to analyze the clinical consequences and factors that influence the phenotypic diversity of this condition. Phenotypic variation is crucial to allow adaptation throughout evolution, but this variation must be controlled to avoid compromising the vital functions of the musculoskeletal system. Vertebral structures maintain their characteristics and signaling pathways over time, with conserved epigenetic modifications. Phenotypic diversity in the vertebral unit occurs due to processes of ontogeny, remodeling, phenotypic variation, adaptation, and environmental sensitivity. These processes involve internal and external stressors, orderly transitions of cell development, temporal changes in development, rapid adaptation, and epigenetic modifications.

Osteoartrite: Consequência evolutiva?

Osteoarthritis is a degenerative disease that affects the joints and is a multifactorial disease. This article aims to analyze its evolutionary consequences and the factors that influence the phenotypic diversity of the disease. Phenotypic variation among living things is crucial to enable natural selection, but this variation needs to be limited to avoid the collapse of the vital functions of the organic system. Skeletal tissue cell types have their origins in aquatic animals and have maintained their characteristics and signaling pathways during the transition to terrestrial life, with conserved epigenetic modifications. Phenotypic diversity in the osteochondral unit occurs due to processes of ontogeny, remodeling, phenotypic variation, adaptation, and environmental sensitivity. These processes involve internal and external stressors, orderly transitions of cell development, changes in the timing of development, rapid adaptation, and epigenetic modifications.

Performance of Recently Developed Single and Double Hybrids of Bivoltine Silkworm (Bombyx mori) in India

India, contributing over 18% to global silk production, has made significant strides in sericulture through advancements in silkworm breeding. This review evaluates the performance of recently developed single and double hybrids of bivoltine silkworms (Bombyx mori) in India. These hybrids are essential for enhancing silk productivity and quality, addressing the challenges of environmental stress. This assessment reveals that these new hybrids exhibit improved growth rates, silk yields, and thermotolerance. However, limitations such as genetic stability and environmental sensitivity persist, which could impact long-term sustainability. The novelty of this work lies in its comprehensive analysis of these hybrids’ performance under varied conditions, providing insights into their potential and areas needing further improvement. Continued research, advanced breeding techniques, integrated pest and disease management, large scale evaluation at farmer’s field and supportive policies are crucial for the sustainable growth of India’s sericulture industry. By adopting these hybrids and modern rearing practices, the industry can achieve higher yields, better quality silk and substantial contributions to the rural economy and global silk market.

Rapid Label-free and Amplification-free Detection of SARS-CoV-2 Using Solution-Gated Graphene Transistor-Based Nucleic Acid Biosensors in a Portable Biosensing Microsystem

Abstract The COVID-19 pandemic has highlighted the significance of swift and efficient large-scale screening to prevent epidemic outbreaks. Solution-gated graphene transistors (SGGTs) have emerged as a valuable asset in creating point-of-care (POC) sensing platforms for detecting SARS-CoV-2, owing to their notable stability and sensitivity in solution environments. However, the poor interface engineering of sensing electrodes is of great concern for reliable functionalization, leading to poor sensitivity. In this study, we present an interface engineering strategy for realizing the functionalization of SGGT sensing electrodes with high stability and sensitivity to construct a SARS-CoV-2 nucleic acid biosensor. The developed biosensor exhibits the capability to detect ORF1ab gene fragments at a concentration as low as 10−16 M without requiring additional nucleic acid amplification. Furthermore, the entire detection process can be accomplished using a portable biosensing microsystem within 30 minutes. This research holds promise for advancing the study of FET-based biosensors and facilitating their practical application in clinical settings.

Environmental sensitivity moderates the longitudinal effect of fathers' positive parenting on mental disorders in Chinese adolescents

BackgroundExposure to fathers' positive parenting has been associated reducing mental disorder symptoms during adolescence, evidence on the mechanisms underlying this association is lacking. One potential mechanism linking fathers' positive parenting and mental disorders is environmental sensitivity (ES). Here we studied whether the increased positive behaviors of both parents (1) separately, (2) relatively, (3) and jointly predict reduced depression, attention deficit hyperactivity disorder (ADHD) symptoms, suicidal ideation (SI), and increased well-being in Chinese adolescents. Additionally we investigated (4) whether ES moderates these relationships. MethodsThis study involving 7010 Chinese adolescents (55.6 % girls) aged 15 to 18 from six junior high schools in Shaanxi, China was conducted at four timepoints. ES was assessed using the Highly Sensitive Child (HSC) scale at ages 15 and 16, parental positive behaviors using the Parental Bonding Instrument (PBI) at ages 16 and 17, and psychopathology symptoms using the 9-item Patient Health Questionnaire (PHQ-9), Strengths and Difficulties Questionnaire (SDQ), and Positive and Negative Suicide Ideation (PANSI) Inventory at ages 17 and 18. Results(1) Multilevel analyses revealed that increased positive parenting predicted reduced psychiatric disorder symptoms and improved well-being; (2) trend interaction indicated that the compensatory effect of fathers' positive parenting was stronger in alleviating mental problems in adolescents than that of mothers'; (3) Simple slope analyses suggested that both high levels of fathers' and mothers' positive parenting predicted fewer subsequent psychiatric disorder symptoms, particularly for sensitive adolescents. LimitationsThis study was limited to its generalizability to the Western Chinese adolescents. ConclusionsSubstantial differences in the effects of positive paternal and maternal parenting highlight the important role of fathers' positive parenting in mental development, especially for highly sensitive adolescents.

Assessment of Hospital Managers' Sustainable Leadership Levels

This study aims to evaluate the sustainable leadership levels of hospital managers with the participation of healthcare professionals working in public hospitals in Bitlis province. The cross-sectional and descriptive study was conducted on 354 healthcare professionals and the information form and Sustainable Management Behaviors Scale were used as data collection tools. The demographic analysis of the study shows that the majority of the participants are male, under the age of 30 and have a bachelor's degree. In terms of occupational groups, it was observed that other health personnel and nurses were predominant. The findings revealed that the participants generally evaluated the sustainable leadership behaviors of the managers at a level above medium. Especially environmental sensitivity and conservation sensitivity dimensions have high mean values. Nurses were found to have the most negative opinions about managers' sustainable leadership levels, while administrative staff had the most positive opinions. It was determined that positive perceptions were higher for managers who are experienced, act in accordance with ethical principles and adopt the philosophy of continuous learning. The study draws attention to the importance of sustainable leadership practices in the healthcare sector and offers strategic recommendations to increase the leadership capacity of hospital managers.

Evaluating the efficacy of machine learning in calibrating low-cost sensors

Ambient air quality monitoring requires low-cost environmental sensor devices that are affordable and feasible for large-scale implementation. However, issues such as sensor drift, environmental sensitivity, and inter-sensor variability affect data accuracy and cannot be adequately addressed by traditional calibration methods. This paper summarizes the use of machine learning techniques for calibrating low-cost sensors. The literature review shows that machine learning models like Random Forest, Support Vector Regression, and Neural Networks significantly improve sensor accuracy and reliability. For instance, Random Forest models reduced the root mean squared error by 30% for PM2.5 measurements, while Neural Networks achieved an R value of 0.997 for methane sensors. Integrating machine learning with IoT and mobile technologies enhances real-time monitoring and spatial resolution. Identified gaps include the quality of training datasets, managing environmental variability, and improving model transferability across different contexts. Addressing these gaps through advanced models and real-time calibration methodologies will further enhance sensor performance, ensuring more precise and reliable environmental data.

Environmental sensitivity of the Caribbean economic growth rate

Abstract. The year-over-year changes in economic growth across the Caribbean Antilles islands demonstrate sensitivity to climatic conditions. Daily wind and rainfall exceedances from passing storms are negatively related to the gross domestic product (GDP). Field regression of the GDP time series from 1971 to 2022 for Puerto Rico and the neighboring Antilles islands reveals links with eastern Pacific sea temperature. A zonal overturning atmospheric circulation over the equatorial Atlantic emerges in composite analysis. Alternating at an approximate 7-year interval, it modulates weather events and economic prosperity in the Caribbean. A multivariate algorithm is developed to predict changes in the annual GDP growth rate. The most influential predictor is precipitable water in the equatorial Atlantic 1 year earlier. Reduced moisture overlain by westerly winds in a global bottleneck at 5° S–5° N, 20–40° W tends to suppress Caribbean storms, leading to economic prosperity in the following year. Statistical methods and risk-reduction strategies are outlined.

Global assessment of aquatic Isoëtes species ecology

Abstract Isoëtes are iconic but understudied wetland plants, despite having suffered severe losses globally mainly because of alterations in their habitats. We therefore provide the first global ecological assessment of aquatic Isoëtes to identify their environmental requirements and to evaluate if taxonomically related species differ in their ecology. The assessment resulted in an extensive new database on aquatic Isoëtes, ecological niche analyses, and descriptive species accounts. We compiled a global database that includes all known environmental data collected from 1935 to 2023 regarding aquatic Isoëtes. We then evaluated the environmental drivers of 16 species using 2,179 global records. Additionally, we used hypervolume analysis to quantify the ecological niches of the two species with the greatest number of records, finding significant differences and evidence that Isoëtes echinospora occupies a wider ecological niche than Isoëtes lacustris. Fifty‐nine species (30% of the c. 200 Isoëtes species known today) were categorised as aquatic and were mainly reported in the Americas and northern Europe. About 38% of the aquatic species are threatened with extinction or are endemic to a small region, according to the International Union for Conservation of Nature's Red List in 2023. Many species were determined to be sensitive to certain water physical and chemical factors, generally preferring oligotrophic conditions such as low total phosphorus, moderate total nitrogen, moderate to low pH, and low conductivity. This analysis includes ecological data in the assessment of rare/threatened aquatic plants globally. This new database and the ecological analyses completed defined the ecological requirements of several species and identified knowledge gaps, which can aid management actions and future research. This paper highlights ecological significance and environmental sensitivities of aquatic Isoëtes. The current level of knowledge is inadequate for a large proportion of known taxa. We affirm the extreme need to support global, collaborative initiatives on which to build future conservation strategies.

Life Cycle Assessment for Spent Lithium-Ion Batteries’ Recycling Process: Environmental Impact, Energy Consumption, and Sensitivity Analysis

Life Cycle Assessment for Spent Lithium-Ion Batteries’ Recycling Process: Environmental Impact, Energy Consumption, and Sensitivity Analysis

Diagnostic QR Codes

This work describes the development of a revolutionary new class of universal perception-based sensor capable of diagnosing a wide range of diseases, and compatible with low-cost mass production. This sensor takes the form of an array of fluorescent, environmentally sensitive single walled carbon nanotubes (SWCNTs), resembling a conventional two dimensional QR code. Each group of pixels of the QR code is formed from carbon nanotubes with different surface functionalisation and different environmental sensitivity. Addition of an analyte such as serum causes each pixel to change its fluorescence, generating a unique spectral ‘fingerprint’ characteristic for each disease. A machine-learning approach is then trained to identify the disease based on their corresponding fingerprint.The basic principle of this technology has been previously described by the Heller Lab for the detection of ovarian cancer, but exclusively in a microplate-based format which requires extensive liquid handling. Translating this technology into a microarray format offers a number of significant advantages, including easier handling, lower production cost, less training required for operation, simpler read-out system that can be based on mobile phone devices and the ability to simultaneously screen for multiple diseases. In this way, this technology advances beyond the current state of the art of SWCNT-based sensors. In a microarray format, hundreds of nanotube assemblies can be analysed simultaneously.By creating an array of sufficient complexity, we hope to remove the need to tailor an array for a specific disease that act as a universal platform for diagnosis of a range of different diseases. This format also significantly lowers the number of necessary sample handling steps, reducing the potential for user error and the amount of training necessary to employ the sensor. Figure 1

Solvent induced amyloid polymorphism and the uncovering of the elusive class 3 amyloid topology

Aggregation-prone-motifs (APRs) of proteins are short segments, which – as isolated peptides - form diverse amyloid-like crystals. We introduce two APRs - designed variants of the incretin mimetic Exendin-4 - that both display crystal-phase polymorphism. Crystallographic and spectroscopic analysis revealed that a single amino-acid substitution can greatly reduce topological variability: while LYIQWL can form both parallel and anti-parallel β-sheets, LYIQNL selects only the former. We also found that the parallel/anti-parallel switch of LYIQWL can be induced by simply changing the crystallization temperature. One crystal form of LYIQNL was found to belong to the class 3 topology, an arrangement previously not encountered among proteinogenic systems. We also show that subtle environmental changes lead to crystalline assemblies with different topologies, but similar interfaces. Spectroscopic measurements showed that polymorphism is already apparent in the solution state. Our results suggest that the temperature-, sequence- and environmental sensitivity of physiological amyloids is reflected in assemblies of the APR segments, which, complete with the new class 3 crystal form, effectively sample all the originally proposed basic topologies of amyloid-like aggregates.

Assessing Environmental Sensitivity Areas (ESA) Using Medalus Model in Telkaif District of Northern Iraq

This study conducted in Tel Kaif district in the northern part of Nineveh Governorate, located between longitudes (˝42′33°41– ˝20′19°43) east and latitudes (˝20′23°36-˝14′54°36) north to assess its environmental sensitivity to desertification (ESA). Fifteen representative sites selected based on the agricultural uses, vegetation cover, and topography. The geographical coordinates of the study sites were determined using a GPS device, and climatic and descriptive data for the study area taken, and soil samples taken for the required laboratory analyses. The obtained data converted into weighted evidence from special tables, so that four indices were calculated, namely the Soil Quality Index (SQI), Vegetation cover Quality Index (VQI), Climate Quality Index (CQI) and Management Quality Index (MQI) required according to the requirements of achieving the Mediterranean Desertification and Land Use (MEDALUS) model. Finally, the Environmentally Sensitive Areas Index (ESAI) equation applied to classify the study area and evaluate its environmental sensitivity to desertification, and then the Kriging technique was used within GIS programs to employ the results of the study by classifying the lands and representing them cartographically. The results showed that most of the study sites have a high environmental sensitivity to desertification (ESA) of the Critical type and below the C3 type, site 15 was Critical - C2, while sites (7 and 9) were Fragile - F2, and Site 6 was Fragile - F3. Therefore, the study area is located within the areas threatened by desertification, according to the assessment of the Environmental Sensitivity to Desertification Index, which is based on the MEDALUS model.

On-spot detection of diethylchlorophosphate through device fabrication, pen and spray method based on intramolecular charge transfer modulated sensor molecule extending application to cell imaging

BackgroundDetecting diethyl chlorophosphate (DCP), a highly toxic chemical simulant for nerve agents like Sarin, Soman, and Tabun, is crucial due to its prevalence in warfare scenarios, as well as its presence in contaminated soil and air. Traditional detection methods often struggle with sensitivity and versatility, limiting their effectiveness in real-time, on-the-spot applications. Effective detection is vital for safety, environmental monitoring, and mitigating the risks associated with these hazardous substances. There is a pressing need for advanced sensors that can offer high sensitivity, specificity, and practicality in various environments. ResultsIn our study, we developed and introduced two ICT-based fluorocolorimetric sensors, TPAHY and TPAPD, designed for the detection of DCP. These sensors exhibit remarkable sensitivity, with limits of detection (LOD) at 23.31 nM for TPAHY and 28.42 nM for TPAPD. TPAHY proves to be an efficient sensor for the on-spot DCP detection, showcasing practical applications such as fluorescent sprays, pens, and detection devices. Upon addition of DCP, TPAHY undergoes a distinct colorimetric shift from yellow to orange, coupled with an enhancement of orange fluorescence. Conversely, TPAPD demonstrates a colorimetric transition from colourless to yellow and experiences fluorescence quenching from blue emission. To understand the underlying mechanisms, we conducted studies using density functional theory (DFT) and lifetime measurements, providing deeper insights into the sensor behaviours. SignificanceThe development of TPAHY and TPAPD provides reliable, sensitive, and versatile solutions for monitoring DCP. TPAHY not only serves as a useful tool for detecting DCP in various field applications but also extends its utility to biological imaging, as demonstrated in HeLa cell studies. This dual functionality enhances its relevance for both environmental monitoring and broader scientific investigations. These sensors represent a significant advancement in the detection of toxic chemicals, offering improved safety and research capabilities.

Controlling cantilevered adaptive X-ray mirrors.

Modeling the behavior of a prototype cantilevered X-ray adaptive mirror (held from one end) demonstrates its potential for use on high-performance X-ray beamlines. Similar adaptive mirrors are used on X-ray beamlines to compensate optical aberrations, control wavefronts and tune mirror focal distances at will. Controlled by 1D arrays of piezoceramic actuators, these glancing-incidence mirrors can provide nanometre-scale surface shape adjustment capabilities. However, significant engineering challenges remain for mounting them with low distortion and low environmental sensitivity. Finite-element analysis is used to predict the micron-scale full actuation surface shape from each channel and then linear modeling is applied to investigate the mirrors' ability to reach target profiles. Using either uniform or arbitrary spatial weighting, actuator voltages are optimized using a Moore-Penrose matrix inverse, or pseudoinverse, revealing a spatial dependence on the shape fitting with increasing fidelity farther from the mount.

Measuring neuroplasticity in human development: the potential to inform the type and timing of mental health interventions.

Neuroplasticity during sensitive periods, the molecular and cellular process of enduring neural change in response to external stimuli during windows of high environmental sensitivity, is crucial for adaptation to expected environments and has implications for psychiatry. Animal research has characterized the developmental sequence and neurobiological mechanisms that govern neuroplasticity, yet gaps in our ability to measure neuroplasticity in humans limit the clinical translation of these principles. Here, we present a roadmap for the development and validation of neuroimaging and electrophysiology measures that index neuroplasticity to begin to address these gaps. We argue that validation of measures to track neuroplasticity in humans will elucidate the etiology of mental illness and inform the type and timing of mental health interventions to optimize effectiveness. We outline criteria for evaluating putative neuroimaging measures of plasticity in humans including links to neurobiological mechanisms shown to govern plasticity in animal models, developmental change that reflects heightened early life plasticity, and prediction of neural and/or behavior change. These criteria are applied to three putative measures of neuroplasticity using electroencephalography (gamma oscillations, aperiodic exponent of power/frequency) or functional magnetic resonance imaging (amplitude of low frequency fluctuations). We discuss the use of these markers in psychiatry, envision future uses for clinical and developmental translation, and suggest steps to address the limitations of the current putative neuroimaging measures of plasticity. With additional work, we expect these markers will significantly impact mental health and be used to characterize mechanisms, devise new interventions, and optimize developmental trajectories to reduce psychopathology risk.

Negative family expressiveness and adolescents' externalizing problems: Respiratory sinus arrhythmia as a moderator and anger regulation as a mediator.

Family environment, emotion regulation and biological sensitivity have been shown to be associated with adolescents' externalizing problem behaviours. However, findings regarding respiratory sinus arrhythmia (RSA) reactivity are mixed and sometimes contradictory. This study aims to clarify the roles of RSA reactivity and anger regulation in the relationship between negative family expressiveness (NFE) and adolescents' externalizing behaviour by measuring RSA reactivity during the Parent-Adolescent Interaction Task (PAIT), designed to simulate a naturalistic negative family environment. In this study, 125 Chinese adolescents (M = 13.95 years, SD = 0.95; 48% male) completed questionnaires assessing negative family expressiveness, anger regulation and externalizing problems. Additionally, we collected electrocardiogram and respiration data during both the resting period and a 10-min PAIT. Results showed that anger regulation mediated the relationship between NFE and externalizing problem behaviours. Moreover, adolescents' RSA reactivity moderated this mediation effect, even after controlling for baseline RSA. Greater RSA suppression potentially indicated greater susceptibility, with the relationship between NFE and anger regulation being more pronounced in adolescents with greater RSA suppression compared to those with lesser RSA suppression. These findings highlight the importance of considering physiological systems, especially within the context of adverse family environments, when studying the relationships with externalizing problems.

The Effect of Perceived Stress on Insomnia Symptoms Among College Students: A Moderated Mediation Model.

College students' insomnia symptoms is a topic of growing interest and studies have begun to explore the factors that influence college students' insomnia symptoms. This study investigated the relationship between perceived stress and college students' insomnia symptoms, as well as the chain mediating roles of fear of missing out and mobile phone dependence, and the moderating roles of environmental sensitivity. In this study, 748 college students (M = 20.59, SD = 2.65) as a sample for cross-sectional study. The Perceived Stress Questionnaire, Brief Fear of Missing Out Scale, Self-Rating Questionnaire for Adolescent Problematic Mobile Phone Use, Athens Insomnia Scale and Highly Sensitive Child Scale were used. (1) Perceived stress significantly positively predicts the insomnia symptoms of college students; (2) Fear of missing out and mobile phone dependence play a chain mediating role between perceived stress and the insomnia symptoms of college students; (3) environmental sensitivity moderated the pathways of mobile phone dependence on insomnia symptoms. We revealed the underlying mechanisms between perceived stress and insomnia symptoms. The findings highlight the importance of interventions for fear of missing out and mobile phone dependence, as well as the role of environmental sensitivity in influencing insomnia symptoms.

Soil arthropods in bioindication and ecotoxicological approach: The case of the extreme environment Mefite (Ansanto Valley, Southern Italy)

Soil arthropods are pivotal in maintaining soil health and serve as sensitive indicators of soil alterations. The soil arthropod community in the Mefite Geological Site (Italy), characterized by a sulphurous lake and intense degassing, was the focus of this study. In details, the objectives were: i) to characterize soil arthropod community at different distances from the Mefite lake; ii) to identify resilient taxa acting as bioindicators to assess soil ecotoxicity. Soil cores were collected at A) 30m, B) 80m, C) 120m away from the lake; soil organic matter (SOM), and pH, ecotoxicity tests (Lepidium sativum: germination index, elongation inhibition; Folsomia candida: survival, reproduction), and identification of soil arthropods (orders, Collembola families, Protura species) have been carried out. Statistical analyses assessed the impact of sulphurous emissions on soil chemistry, ecotoxicity, and arthropod parameters (community structure, taxa associations, biodiversity indices like Shannon and Simpson, and soil biological quality index – QBS-ar). The results showed: no SOM differences; pH: A < B < C; the highest ecotoxic effects were observed in A for both target species; arthropod community composition and QBS-ar varied notably in A compared to C, with the lowest soil biodiversity found in A. Hypogastruridae (Collembola) showed a clear association with A, while Protura were notably absent in A. This study also provided the first records of 4 Protura species in Campania, updating existing knowledge. Overall, arthropod community biodiversity and composition proved to be effective soil bioindicators in highly acidic conditions, reflecting soil ecotoxicity. In particular, the QBS-ar index demonstrated sensitivity in sulphurous environments.

A comparative assessment of polymer-coated and non-coated urea in direct-seeded rice: agronomic, economic, and environmental performance and sensitivity analysis

The application of polymer-coated urea (PCU) to crops is likely restricted because the product’s capsules cause plastic pollution. Although conventional fertilizer use reduces plastic pollution, it may increase nitrogen (N) pollution owing to its lower N recovery than that of PCU. Therefore, we need to develop optimal N application methods to reduce both plastic and N pollution. Here, we aimed to (1) compare the agronomic, economic, and environmental outcomes of PCU application with those of conventional urea application and (2) provide quantitative targets for developing alternatives to PCU application in dry direct-seeded rice production. We developed a model incorporating yield, brown-rice protein content, farmer profit, and environmental damage cost due to N and polymer loss according to N fertilizer application. Data were collected from field experiments at a farm in Iwate, Japan, from 2020 to 2022. The average apparent N recovery was 0.43 for PCU and 0.37 for conventional urea. Despite the plastic damage cost, the estimated total environmental cost of PCU was lower than that of normal urea owing to the former’s higher N recovery. However, our ability to simulate plastic pollution is limited, as few of the environmental effects of microplastics are understood. If new N application methods with N recovery above 0.5 are developed, an N fertilization cost within $5 × 10–3 g N–1 can maintain the same benefit as that obtained here. This model can be used to evaluate the quantitative relationships among N recovery, benefits, and implementation costs of each candidate N application method.