Changes In Patterns Research Articles

Study into the Impact of the Pandemic on Travel Patterns within the Metropolitan Area of Rio de Janeiro

Despite the ending of social distancing and post-pandemic return to normal activities, the impacts of COVID-19 on urban mobility persist, particularly with regard to public transport. Consequently, this study looks into the post-pandemic changes in travel patterns, seeking to comprehend the effects on the municipalities and suggest helpful measures geared to achieving more sustainable patterns following the lockdown isolation. The chosen case study is the Metropolitan Area of Rio de Janeiro, Brazil. The study was divided into four distinct phases, namely understanding the problems, choosing the study area, field research and making recommendations based not only on the literature but on consultation with operators and experts. The methodological process involves the analysis of data from the field research, to assess any changes in patterns that may have been identified. The results show the changes in the means of travel, with emphasis on a preference for app-based transport services, to the detriment of sustainable transport. The study also shows the challenges facing public transport and the relationship between the choice of travel means and the socioeconomic profile of the passenger.

코로나19 팬데믹 상황에서 초기 청소년의 가정에서의 경험과 변화에 대한 개념도 연구

Purpose: The purpose of this study was to explore the conceptual structure of early adolescents' experiences and changes at home in the context of the COVID-19 pandemic. Methods: For this purpose, focusing questions were developed to generate ideas from 20 male and female students in the first and second grades of middle school, and ultimately 62 statements were derived. Research participants rated the similarity classification of the final statements and the degree to which they matched their own experiences and changes, and based on the results, multidimensional scaling and hierarchical cluster analysis were performed to derive a concept map. Results: As a result of the study, the concept map was classified six clusters and composed of two dimensions : ‘the experience of living with family members’ vs. ‘personal life experience (x-axis)’and ‘class and academic attitude vs personal activities (Y-axis)’. Six clusters were ‘increased worries and conflicts about family members’, ‘as family members spent more time together, intimacy increase’, ‘changes in personal life patterns at home and opportunities for personal growth’, ‘changes in personal life patterns and increased negative emotional experiences’, ‘increased personal activities at home’, ‘changes in (online/offline) class and academic attitudes during the COVID era’. Second, as a result of evaluating the degree of agreement, the research participants recognized the ‘increased personal activity at home’ cluster as most consistent with their own experiences and changes. Conclusion: Based on these research results, implications regarding educational intervention and support plan for the healthy growth of early adolescents who experienced COVID-19 were discussed.

Effects of drought and moisture stress on the growth and ecophysiological traits of Schima superba seedlings.

Changes in rainfall patterns are important environmental factors affecting plant growth, especially when larger precipitation events and prolonged drought periods occur in subtropical regions. There are many studies on how drought reduces plant biomass through drought-sensitive functional traits, but how excess water affects plant growth and ecophysiology is still poorly understood. Therefore, a greenhouse experiment was conducted on Schima superba (Theaceae), a dominant tree species in subtropical forests and commonly used in forestry, in a closed chamber under control (25% soil water content (SWC) as in local forests), drought stress (D, 15% SWC) and moisture stress (W, 35% SWC). Plant growth and ecophysiological traits related to morphology, leaf gas exchange, water potential and structural traits were measured. Compared to control, S. suberba under dry conditions significantly decreased its aboveground biomass, photosynthetic rate (A), leaf water potential and nitrogen use efficiency, but increased intrinsic water use efficiency, root to shoot ratio and specific root length. S. superba under wet conditions also significantly decreased its total biomass, aboveground biomass and specific root length, while W had no effect on A and leaf water potential. Our results indicate that S. superba shows a decrease in carbon gain under drought stress, but less response under wet conditions. This emphasizes the need to consider the strength and frequency of rainfall pattern changes in future studies because rainfall may either alleviate or intensify the effects of drought stress depending on the moisture level, thus suitable water conditions is important for better management of this tree species in subtropical China.

South Africa’s food system: An industry perspective on past, present and future applications of science and technology

The South African food system is facing severe challenges as increasing hunger, rising food costs, lack of dietary diversity, child stunting, foodborne illnesses, food waste and an obesity epidemic coupled with malnutrition are observed. In this study, we aimed to establish the application of science and technology advances in the food and beverage industry in South Africa in response to food consumption pattern changes since 1994 and how they could be used to address food security challenges. We found that food consumption shifts have been towards sugar-sweetened beverages, processed and packaged food, animal-source foods and added caloric sweeteners, and away from vegetables. These dietary shifts are concerning as they relate to public health. Most commitments to improve the nutritional status of South Africans have been limited to corporate social investment strategies and should be extended into core business strategies. Furthermore, although the South African food and beverage industry has kept pace with developments in food manufacturing practices, there has been little experimentation with non-commercial novel technologies. The expert survey revealed that indigenous African crops and food waste recovery are the two most promising emerging food sources that could be available to South Africans in the shortest time frame. South Africa has many enabling drivers to become a global leader in food technology advances. However, many barriers need to be overcome for industry, academia and government to collaborate to advance novel food science and technologies to reach commercialisation.

Multi-Scale Dynamics and Spatial Consistency of Economy and Population Based on NPP/VIIRS Nighttime Light Data and Population Imagery: A Case Study of the Yangtze River Delta

Population and economy are crucial factors contributing to regional disparities. Studying the patterns and relationships between these two elements is essential for promoting sustainable development in regions and cities. This study constructs multi-scale geographic concentration indices and inconsistency indices, utilizing NPP/VIIRS and LandScan data to quantitatively analyze the spatial pattern changes of population and economy in the Yangtze River Delta across various spatial scales, revealing the matching relationships between population and economic elements within cities. The results indicate that the economy in the Yangtze River Delta is spreading outward from the core areas, with the average population–nightlight inconsistency index decreasing from 1.57 to 1.33. This suggests that the imbalance between population and economy within the urban agglomeration is gradually improving, consistent with trends observed in statistical survey data. Within individual cities, there is a noticeable spatial mismatch between population and nightlight intensity, with the population primarily concentrated in urban core areas. As urban spaces expand, the areas where population concentration is significantly lower than nightlight concentration are gradually diminishing. By 2022, the land area where population and economic concentration are coordinated within the Yangtze River Delta urban areas increased from 9.13% to 16.24%. Population concentration in these coordinated regions rose from 11.33% to 16.33%, while nightlight concentration increased from 9.98% to 13.63%. The improved geographic concentration and inconsistency indices are effective indicators for multi-scale monitoring of population and economic spatial changes. The integration of NPP/VIIRS nighttime light data and LandScan data provides an effective method for uncovering different spatial patterns of population and socio-economic element aggregation in urban structures. This can offer insights for promoting sustainable regional and urban development.

Progressive remodeling of structural networks following surgery for operculo-insular epilepsy

IntroductionOperculo-insular epilepsy (OIE) is a rare condition amenable to surgery in well-selected cases. Despite the high rate of neurological complications associated with OIE surgery, most postoperative deficits recover fully and rapidly. We provide insights into this peculiar pattern of functional recovery by investigating the longitudinal reorganization of structural networks after surgery for OIE in 10 patients.MethodsStructural T1 and diffusion-weighted MRIs were performed before surgery (t0) and at 6 months (t1) and 12 months (t2) postoperatively. These images were processed with an original, comprehensive structural connectivity pipeline. Using our method, we performed comparisons between the t0 and t1 timepoints and between the t1 and t2 timepoints to characterize the progressive structural remodeling.ResultsWe found a widespread pattern of postoperative changes primarily in the surgical hemisphere, most of which consisted of reductions in connectivity strength (CS) and regional graph theoretic measures (rGTM) that reflect local connectivity. We also observed increases in CS and rGTMs predominantly in regions located near the resection cavity and in the contralateral healthy hemisphere. Finally, most structural changes arose in the first six months following surgery (i.e., between t0 and t1).DiscussionTo our knowledge, this study provides the first description of postoperative structural connectivity changes following surgery for OIE. The ipsilateral reductions in connectivity unveiled by our analysis may result from the reversal of seizure-related structural alterations following postoperative seizure control. Moreover, the strengthening of connections in peri-resection areas and in the contralateral hemisphere may be compatible with compensatory structural plasticity, a process that could contribute to the recovery of functions seen following operculo-insular resections for focal epilepsy.

Gas Chromatography-Ion Mobility Spectrometry Reveals Acetoin as a Biomarker for Carbapenemase-Producing Klebsiella pneumoniae.

BACKGROUND This study aimed to detect the volatile organic compound (VOC), 3-hydroxy-2-butanone (acetoin) using gas chromatography-ion mobility spectrometry (GC-IMS) in antimicrobial-resistant Klebsiella pneumoniae (K. pneumoniae) carbapenemase (KPC)-producing bacteria. MATERIAL AND METHODS Using stromal fluid of blood culture bottles (BacT/ALERT® SA) as the medium, 3-hydroxy-2-butanone (acetoin) released by K. pneumoniae during growth was detected using GC-IMS. The impact of imipenem (IPM) and carbapenemase inhibitors [avibactam sodium or pyridine-2,6-dicarboxylic acid (DPA)] on the emission of 3-hydroxy-2-butanone (acetoin) from various carbapenemase-producing K. pneumoniae was further investigated. Subsequently, VOCal software was used to generate a pseudo-3D plot of 3-hydroxy-2-butanone (acetoin), and the relative peak volumes were exported for data analysis. Standard strains served as references, and the findings were validated with clinical isolates. RESULTS The pattern of temporal changes in the 3-hydroxy-2-butanone (acetoin) release from K. pneumoniae in the absence of IPM was consistent with the growth curve. After the IPM addition, carbapenemase-positive strains released significantly higher contents of 3-hydroxy-2-butanone (acetoin) than carbapenemase-negative strains at the late exponential growth phase (T2). Notably, adding avibactam sodium significantly decreased the 3-hydroxy-2-butanone (acetoin) content released from the class A carbapenemase-producing strains as compared to the absence of the carbapenemase inhibitor. Conversely, adding DPA significantly decreased the 3-hydroxy-2-butanone (acetoin) content released from the class B carbapenemase-producing strains (both standard and clinical strains, all P<0.05). CONCLUSIONS This study demonstrated the potential of 3-hydroxy-2-butanone (acetoin) as a VOC biomarker for detecting carbapenemase-producing K. pneumoniae, as revealed by GC-IMS analysis.

Tai Chi Expertise Classification in Older Adults Using Wrist Wearables and Machine Learning

Tai Chi is a Chinese martial art that provides an adaptive and accessible exercise for older adults with varying functional capacity. While Tai Chi is widely recommended for its physical benefits, wider adoption in at-home practice presents challenges for practitioners, as limited feedback may hamper learning. This study examined the feasibility of using a wearable sensor, combined with machine learning (ML) approaches, to automatically and objectively classify Tai Chi expertise. We hypothesized that the combination of wrist acceleration profiles with ML approaches would be able to accurately classify practitioners’ Tai Chi expertise levels. Twelve older active Tai Chi practitioners were recruited for this study. The self-reported lifetime practice hours were used to identify subjects in low, medium, or highly experienced groups. Using 15 acceleration-derived features from a wearable sensor during a self-guided Tai Chi movement and 8 ML architectures, we found multiclass classification performance to range from 0.73 to 0.97 in accuracy and F1-score. Based on feature importance analysis, the top three features were found to each result in a 16–19% performance drop in accuracy. These findings suggest that wrist-wearable-based ML models may accurately classify practice-related changes in movement patterns, which may be helpful in quantifying progress in at-home exercises.

Changing of nasal fracture patterns in maxillofacial trauma consultation-impact of the covid-19 pandemic.

In 2020, the coronavirus SARS-CoV-2 led to a pandemic that had a major impact on the global health care systems. The aim of this study was to analyze the impact of the Covid-19 pandemic on nasal bone (NB) fracture patterns/distributions and circumstances in a German cranio-maxillofacial trauma center. This retrospective study compared the nasal fracture patterns of patients in the PreCovid (PC) era (February 2019 - January 2020) with patients in the IntraCovid (IC) era (February 2020 - January 2021). In addition to baseline characteristics, the type of NB fractures, the circumstances leading to NB fracture and hospital admissions/treatments were analyzed. The present study showed a significant decrease in the total number of NB fractures during the Covid-19 pandemic. In the IC period, a significant increase in falls and virus-/flu associated syncopes leading to NB fractures was detected. At the same time, a significant decrease in sports accidents, road traffic accidents and interpersonal violence leading to NB fractures was observed in the IC period. Under the influence of the Covid-19 pandemic, a significant increase in accidents at home, accidents during the weekdays and closed reductions under local anesthesia was detected when being compared to the PC period. The daytime of trauma leading to NB fractures also changed significantly from night-time (PC) to morning-time (IC). The Covid-19 pandemic had a significant impact on the NB fracture circumstances and treatment modalities. Therefore, the results of this study can serve as a baseline for further studies of the impact of the Covid-19 pandemic on NB fracture patterns among different countries.

Indonesia's economic and environmental resilience in the face of climate change: Analysis and implementation strategies

Backgorund: Climate change is a significant threat to Indonesia, an archipelago that is vulnerable to the negative impacts of this phenomenon. This study aims to identify the effects of climate change in Indonesia and evaluate mitigation and adaptation strategies needed to improve economic and environmental resilience. Based on climate change projections, increases in surface temperature, changes in rainfall patterns, sea level rise, and changes in water salinity have negative impacts on various sectors such as agriculture, fisheries, infrastructure, and public health. Method: The research method includes secondary data analysis from various official sources and a study of relevant literature, with an analytical descriptive approach to identify critical challenges and necessary strategies. Findings: The results show that limited fiscal space and the need for budgetary reform are significant challenges that need to be addressed through the introduction of a carbon tax, budgetary incentives for green technologies, and the removal of fossil fuel subsidies. In addition, mobilization of non-budget funding sources is needed to support green projects, with strategies such as the development of public-private partnerships, access to international funds, and technical capacity building. Conclusion: In conclusion, implementation of the recommended mitigation and adaptation strategies can increase Indonesia's resilience to climate change, reduce its risks and negative impacts, and ensure the sustainability of economic and social development. Novelty/Originality of this study: This research provides practical guidance for policymakers to develop effective strategies to deal with climate change

Assessing four decades of fire behavior dynamics in the Cerrado biome (1985 to 2022)

BackgroundFire significantly transforms ecology and landscapes worldwide, impacting carbon cycling, species interactions, and ecosystem functions. In the Brazilian Cerrado, a fire-dependent savanna, the interaction between fire, society, and the environment is evident. Given that wildfires significantly contribute to greenhouse gas emissions, our study aimed to analyze four decades of burned area data to understand changes in fire dynamics, using Collection 2 of annual MapBiomas Fire maps (1985 to 2022). Our study examined spatiotemporal patterns, fire recurrence, fire distribution across land uses, temporal changes in fire scar size, burned area variations across ecoregions, and their correlation with farming areas.ResultsFrom 1985 to 2022, fire impacted 40% (792,204 km2) of the Cerrado biome, with 63% burning more than once. Natural vegetation was the most affected, primarily due to human-driven ignition during the dry season. A noticeable trend of later peaks in fire activity, concentrated towards the end of the dry season, along with an increase in patch size over time, characterized a clear shift in the Cerrado fire regime. Recently, the MATOPIBA region and the northern biome exhibited significant fire clusters, with burned areas rising alongside farming expansion. The ecoregion-based analysis identified fire hotspots, with the "Bananal" ecoregion, the largest wetland area in the biome, exhibiting increased fire recurrence and larger patch size over time.ConclusionsOur four-decade analysis of fire dynamics in the Cerrado revealed human-induced changes in the fire regime, originally shifting from July to September to a new fire season from August to October. This shift poses several environmental threats given their overlap with the driest months of the year. This study improved our understanding of changes in fire patterns and their impacts on each ecoregion and land use. Wetlands experienced the highest relative burned area, highlighting their ecological importance and increased vulnerability. In the southern Cerrado, where farming is established and natural vegetation more fragmented, fire events tend to decrease; while in the north, with recent farming expansion, fire susceptibility rises. Conservation-oriented strategies, like the Brazilian Integrated Fire Management (MIF), are crucial for mitigating impacts while enhancing the Cerrado’s resilience to climate change.

Assessing livelihood dependency on forestry products during COVID-19 period

Background: The importance of forest in improving human welfare is recognized worldwide. Both natural and artificial forests provide basic needs such as fuel wood, timber, industrial wood and non-timber products. They also provide employment, income and foreign exchange hence contributing to social and economic development. Equally important are the environmental benefits of forest. But as covid 19 came people lost their job, their movement was restricted as a result an increase dependency on forest products for survival increases in developing countries. Therefore, the main aim of the study was to unearth impacts of covid 19 has on the forest products of people living around zomba plateau forest reserve. The general objective of the study is to assess livelihood dependency on forest product during covid 19 period. Method: Specifically, the study will identify and assess which forest products were frequently accessed during covid 19 and analyze the contribution of forest products on household income during the pandemic period. Both qualitative and quantitative methodologies were used to collect data. The target population for the study consisted of residents of Mtendere village. The sample size was 59. Data were collected using self- administered questionnaire and interviews. Qualitative and quantitative data was analyzed using statistical package for social sciences (SPSS) and excel package respectively. Result: The results of the study indicate that there was an increase dependency of forest products during covid 19 period and such that the contribution the contribution of forest products to household income dwindles during this period. Conclusion: The study further recommends to build the resilience of forest- dependent communities to future shocks and crises. This can be achieved through the implementation of social safety nets, or savings and credit programs. Novelty/Originality of this study: This study presents the first comprehensive analysis of the impact of COVID-19 on community dependence on forest products and finds changes in forest resource use patterns during the pandemic. It provides new insights into the resilience of forest-dependent communities in the face of global crises. It offers practical recommendations for building community resilience through social safety nets and credit savings programs.

Determine SST and SSS distribution and tendency of variation in the northern Atlantic Ocean using k-means clustering

Sea surface temperature (SST) and sea surface salinity (SSS) are crucial parameters in oceanographic research and have important implications for understanding the Earths climate system, ecosystems, and global change. This paper will ascertain SSS and SST in the North Atlantic Ocean. Besides, K-means clustering was utilized to separate the data into several clusters once the data were installed in Matlab. According to the research results, the temperature dropped from the equator to the high northern latitudes. In contrast, salinity showed an initial increase and then a following reduction in trend. Despite rising temperatures and salinity, the region distribution of high SST and high SSS throughout the year remained mostly stable, but the area became larger. One of the regions with high salinity in North Africa has a strong connection to that is adjacent to the Mediterranean. The Earths climate system includes essential elements, including SST and SSS, which are essential to the development and control of the climate. Its better to comprehend seasonal changes in climate patterns and long-term climate trends by investigating temperature and salinity.

The Role of Triboloading Conditions in Tribolayer Formation and Wear Resistance of PES-Based Composites Reinforced with Carbon Fibers

In this paper, the tribological characteristics of polyethersulfone-based composites reinforced with short carbon fibers (SCFs) at aspect ratios of 14–250 and contents of 10–30 wt.% are reported for linear metal–polymer and ceramic–polymer tribological contacts. The results showed that the wear resistance could be greatly improved through tribological layer formation. Loading PES with 30 wt.% SCFs (2 mm) provided a minimum WR value of 0.77 × 10−6 mm3/N m. The tribological layer thicknesses were estimated to be equal to 2–7 µm. Several conditions were proposed, which contributed to the formation of a tribological layer from debris, including the three-stage pattern of the changing kinetics of the time dependence of the friction coefficient. The kinetics had to sharply increase up to ~0.4–0.5 in the first (running-in) stage and gradually decrease down to ~0.1–0.2 in the second stage. Then, if these levels did not change, it could be argued that any tribological layer had formed, become fixed and fulfilled its functional role. The PES-based composites loaded with SCFs 2 mm long were characterized by possessing the minimum CoF levels, for which their three-stage changing pattern corresponded to one of the conditions for tribological layer formation. This work provides valuable insight for studying the process parameters of tribological layer formation for SCF-reinforced thermoplastic PES composites and revealing their impact on tribological properties.

Insights into the microscopic heterogeneity of whey proteins between yak colostrum and mature milk based on 4D lable-free quantitative phosphoproteomics

This study aimed to reveal the change patterns of the phosphorylation modification status of yak whey phosphoproteins during lactation and their physiological effects. Herein, we comprehensively characterized whey phosphoproteome in yak colostrum and mature milk using an ultra-high throughput phosphoproteomics approach incorporating trapped ion mobility technology. A total of 344 phosphorylation sites from 206 phosphoproteins were identified, with individual site modification predominating. Notably, 117 significantly different phosphorylation sites were distributed on 89 whey phosphoproteins. Gene ontology analysis indicated that these significantly different whey phosphoproteins (SDWPPs) were mainly annotated to carbohydrate metabolic process, membrane, extracellular region and calcium ion binding. Metabolic pathway enrichment analysis demonstrated that SDWPPs were critically involved in protein processing in endoplasmic reticulum, NOD-like receptor signaling pathway and N-glycan biosynthesis. Our results elucidate the phosphorylation profiles of yak whey phosphoproteins at different lactations and their adaptive regulatory role in meeting the nutritional requirements of yak calves during development.

Research on high-frequency trading strategies optimization based on deep learning

High-frequency trading is derived from programmatic trading and market maker mechanisms, and unlike low-frequency trading, it uses ultra-high-speed computers to acquire and analyze high-frequency trading data in the market, so as to identify price change patterns and quickly execute trades to complete the change of hands. In this work, we focused on optimizing high-frequency trading strategies using deep reinforcement learning. Specifically, we employ a dual deep Q network model, which consists of two deep neural networks that are used to generate action value estimates and provide target action values, respectively. The advantage of this structure is that it reduces bias in the estimation process, thereby improving the stability and efficiency of learning. The input layer of the model receives multi-dimensional features of market data, such as price, volume, order depth, etc., which are normalized and then fed into the network. The hidden layer includes multiple layers of fully connected layers to enhance the nonlinear representation of the model and the ability to handle complex market dynamics. We have also introduced batch normalization and dropout layers in the network to prevent overfitting merges and improve the generalization ability of the model. Eventually, the output layer generates action values corresponding to each possible trading action, deciding to buy, sell, or hold a position. In the experimental analysis, this study verifies the superiority of the proposed model in processing high-frequency trading data and executing trading decisions by comparing it with traditional trading strategies and other machine learning methods.

Modifiable risk factors for weight loss after cancer treatment in Korean gastric cancer survivors.

Weight loss is a critical problem in gastric cancer survivor (GCS) associated with worse prognosis and quality of life. Nevertheless, modifiable factors related to weight loss of GCS seem limited. We investigated the factors with significant weight loss including dietary pattern change in GCS. In this cross-sectional study, Korean cancer survivors were recruited from two university-affiliated hospitals from 2014 to 2017. Overall, 591 GCSs were analyzed by preoperative body mass index levels. Significant and severe weight loss was defined as a weight reduction of more than 5% and 10%, respectively. Around 68.7% and 35.0% of GCS reported significant and severe weight loss, respectively. Age and surgery type were the important factors related to significant weight loss in total. In preoperative overweight or obese subjects, sex and surgery type were the risk factors for weight loss. Total food intake reduction was the only modifiable factor of significant weight loss (adjusted odds ratio (aOR) 1.78, 95% confidence interval (CI) 1.19-2.64), particularly in preoperative normal or underweight GCS (aOR 2.62, 95% CI 1.44-4.78). Increasing vegetable and salt reduction was found to be related to a lower risk of significant weight loss. The impact of reducing processed meat on weight loss differed by degree of weight loss and preoperative BMI level. Changing food consumption was the important modifiable factor related to significant weight loss which was more evident in preoperative underweight or normal GCS. Thus, further specific dietary recommendation is necessary for them to prevent significant weight loss. In order to prevent significant weight loss, dietary modification should be provided to GCS to ensure that total foodintake does not decrease.

Changing Pattern and Drivers of Land Use and Land Cover in Bagmati Province of Nepal

Land use and land cover (LULC) represents the physical component of the Earth's environment, and often changes as a result of natural and anthropogenic activities. This study carried out changing patterns and orientations of LULC types of Bagmati province of Nepal by using satellite images between 1996 and 2016. The study applied a classification scheme through support vector machines (SVM) for the period from 1996 to 2006, and 2006 to 2016. Our study explored that built-up area expansion was the major change witnessed which increased from 85.25 km2 in 1996 and sharply increased and labeled 250.06 km2 in 2016. Similarly, the forest land of the province increased by 329.02 km2 between 1996 and 2016. The status of cultivated land was found slightly decreasing trend, which was noted at 6113.50 km2 in 1996 and labeled at 5725.82 km2 in 2016. The shrubland of the province declined by 272.03 km2 from 1851.67 km2 in 1996 to 1579.64 km2 in 2016. However, the status of snow/ ice cover found at fluctuated form, which was noted 774.27 km2 in 1996, 1297.43 km2 in 2006, and 828.92 km2 in 2016. The increasing population trend is the main driver of the high rate of built-up area expansion and contraction of the cultivated land. Community forestry programs highly supported the expansion of forest cover. The proper implementation and improvement of the existing policy are the major concerns for sustainable LULC management in the province.

Water Resources Monitoring in a Remote Region: Earth Observation-Based Study of Endorheic Lakes

In the western Andes, climate changes have led to drastic ecological changes during the Pleistocene and Holocene. Given the debate surrounding precipitation pattern changes and the lack of research on lakes in the Chilean Altiplano, this study aims to assess recent climate changes. The paper presents an innovative methodology based on Google Earth Engine (GEE), utilizing fluctuations in water levels in endorheic lakes as natural precipitation indicators. Three lakes (Chungará, Miscanti, and Miniques) in isolated drainage systems were studied, where changes in water levels directly reflect rainfall variations. Data from Landsat-OLI 8, Landsat-ETM+, Landsat-TM 5, and MODIS spanning 31 years were processed using the Google Earth Engine platform. The shapes of the water bodies were extracted using hue saturation value (HSV) composites. The surface areas of the lakes were compared with precipitation data from national meteorological stations and the Tropical Rainfall Measuring Mission (TRMM) using linear regression analyses. Both lake area and rainfall volume showed a decrease over time, with varying trends depending on environmental conditions. However, the analysis consistently indicates a reduction in the area and volume of Chilean lakes corresponding to observed rainfall patterns over the past three decades.

OCT Biomarkers in Ocular CLN2 Disease in Patients Treated With Intraventricular Enzyme Replacement Therapy.

Bilateral progressive, symmetrical loss of central retinal thickness (CRT) has been described in neuronal ceroid lipofuscinosis type 2 (CLN2) disease. This study details the pattern of morphological changes underlying CRT loss and disease progression in patients receiving intracerebroventricular (ICV) enzyme replacement therapy (ERT) with cerliponase alfa. Spectral-domain optical coherence tomography macular cube scans were collected from 16 patients with classic CLN2 disease receiving ICV ERT. Detailed retinal structure analyses were performed on manually segmented horizontal B-scans through the fovea to determine the thickness of six retinal parameters and the extent of ellipsoid zone (EZ) loss. Anatomical changes primarily occurred in photoreceptor (PR)-related retinal parameters and correlated with ocular disease severity. Retinal degeneration began with initial focal parafoveal EZ discontinuities signaling the onset of rapid PR degeneration in a predictable pattern: parafoveal PR involvement with foveal sparing followed by profound parafoveal and foveal PR loss with additional thinning beyond the central retina. PR degeneration began with outer segment loss and progressed to outer nuclear layer (ONL) involvement. Longitudinal analyses confirmed these observations. The rate of PR loss was fastest at the fovea at ∼58 mm per year and became slower at locations farther away from the fovea. Retinal degeneration in CLN2 disease is primarily associated with PR loss in a predictable pattern, with EZ disruption signaling early PR stress. CRT, ONL thickness, and PR layer thickness are useful anatomical biomarkers for understanding disease progression and treatment efficacy in CLN2. Studies using en face images will further clarify CLN2-related retinal degeneration.