bluuebunny/crossref_metadata_2025 huggingface dataset:
RESEARCH ON QUALITY STATUS QUO AND QUALITY EVALUATION THEORY OF NATURAL RESOURCES REMOTE SENSING DATA AND COMMON PRODUCTS
Authors: Yin S. , Zhang J. , Zhao H. , Gao W. , Jia K.
Published: May 2022

Abstract. The research on the quality evaluation of satellite remote sensing data and common products of natural resources is to analyze the role of satellite remote sensing data and common products in the management of natural resource elements such as land, forest, grassland, wetland and water, study their quality models and quality evaluation methods, build a quality evaluation index system, and study the technical processes and methods of quality inspection, So as to provide basic support for the research on the framework of quality evaluation standard system and provide technical support for promoting the application of natural resources satellite remote sensing data and common products. Firstly, this paper combs and summarizes the list of 9 categories and 32 types of natural resources satellite remote sensing data and common products. Focusing on the current situation and characteristics of the quality research of typical natural resources satellite remote sensing data and common products, this paper summarizes the quality inspection contents and evaluation methods, existing and proposed standards at home and abroad, the quality characteristics of natural resources satellite remote sensing data and common products are analysed. On this basis, a complete quality evaluation system framework of natural resources satellite remote sensing data and common products is established, and quality elements and quality sub elements are proposed to describe the quality model of natural resources satellite remote sensing data and common products, so as to form a method suitable for evaluating the quality of natural resources satellite remote sensing data and common products.
AUTOMATIC IDENTIFICATION METHOD OF CONSTRUCTION AND DEMOLITION WASTE BASED ON DEEP LEARNING AND GAOFEN-2 DATA
Authors: Yang K. , Zhang C. , Luo T. , Hu L.
Published: May 2022

Abstract. Due to the relatively complex construction and demolition waste (C&DW) spectrum and texture, it is difficult to identify C&DW by simply constructing a remote sensing index. Therefore, this study proposes an automatic identification method of C&DW based on deep learning and the Gaofen-2 (GF-2) Data. Pingdingshan City and Jining City in China were selected as the research areas in the study. The dataset used for deep learning training and testing in the study area was captured by the GF-2 Data. On the basis of this dataset, the deep learning model DeepLabv3+ is used to identify C&DW. The overall accuracy rate of the deep learning model for identifying C&DW is 82.02%, and the overall mIoU is 82.39%. The accuracy of the model for the identification of C&DW areas is further verified by ground verification. The results of this study are helpful for the survey and management of C&DW, which is beneficial to the study of spatial and temporal distribution of urban C&DW, resource utilization and environmental pollution risk reduction.
EXTRACTING RELEVANCE FROM SAR TEMPORAL PROFILES ON A GLACIER AND AN ALPINE WATERSHED BY A DEEP AUTOENCODER
Authors: Charrier L. , di Martino T. , Colin Koeniguer E. , Weissgerber F. , Plyer A.
Published: May 2022

Abstract. This paper proposes to use methods for compressing the temporal profiles of Sentinel-1 images, in order to be able to evaluate and analyze the richness of the temporal dynamics, both on a glacier and on a watershed. We propose to use unsupervised deep learning to auto-encode the temporal information in 3 dimensions, allowing to use the three descriptors as three RGB components to produce a colored composition synthesizing the information. We compare this Convolutional AutoEncoder (CAE) approach with a dimensionality reduction based on a Principal Component Analysis (PCA) of the temporal profiles. The two methods, CAE and PCA, are applied to a time series over the Kyagar Glacier before and after a surge event, and on an alpine watershed to compare the differences in dynamic evolution associated with different terrain classes with and without snow. On the one hand, on the glacier, the stacks of 10 images used are too short for CAE to extract more than two really significant axes. On the other hand, with longer profiles available over the alpine watershed, the CAE is interesting to improve the clustering results obtained from the decomposition.
A WEIGHTED COHERENCE ESTIMATOR FOR COHERENT CHANGE DETECTION IN SYNTHETIC APERTURE RADAR IMAGES
Authors: Wang M. , Huang G. , Zhang J. , Hua F. , Lu L.
Published: May 2022

Abstract. Synthetic aperture radar (SAR) coherent change detection (CCD) often utilizes the degree of coherence to detect changes that have occurred between two data collections. Although having shown some performances in change detection, many existing coherence estimators are still relatively limited because the change areas do not stand out well from all decorrelation areas due to the low cluster-to-noise ratio (CNR) and volume scattering. Moreover, many estimators require the equal-variance assumption between two SAR images of the same scene. However, the assumption is less likely to be met in regions of significant differences in intensity, such as the change areas. To address these problems, we proposed an improved coherence estimator that introduces the parameters about the true-variance ratio as the weights. Since these parameters are closely related to the ratio-change statistic in intensity-based change detection algorithms, their introduction frees the estimator from the need for the equal-variance assumption and enables detection results to largely combine the advantages of intensity-based and CCD methods. Experiments on simulated and real SAR image pairs demonstrate the effectiveness of the proposed estimator in highlighting the change, obviously improving the contrast between the change and the background.
PARAMETERS TO ESTIMATE CO2 EMISSION IN PEATLAND AREA BASED ON CARBON CONTENT AND SUBSIDENCE RATE FROM SAR INTERFEROMETRY
Authors: Hayati N. , Sari N. , Arief R. , Uzzulfa M. A.
Published: May 2022

Abstract. Peatlands are one of the important parameters to determine environmental quality because peatlands can store carbon stocks in their biomass. Based on the official page pantaugambut.id, Kalimantan Island is the second largest area that has peatlands. Land subsidence (subsidence) on peatland is one of the physical environmental impacts due to the shrinking volume of peat due to the drought process at a certain level in peatland processing, but also due to the decomposition process, erosion, and peat fires. This subsidence phenomenon will be measured using the InSAR technique, which is one of the existing methods in active remote sensing technology to measure changes in the earth’s surface which is calculated based on changes in the phase difference between two SAR image acquisitions. Our research used the time series InSAR technique with the incorporation of Persistent Scatterer (PS) and small baseline approach to accurately calculate the value of soil subsidence rate to the cm-mm level. Furthermore, the estimation of CO2 emission was calculated from the carbon parameters observed by the in-situ measurement, the affected peatland area, and its subsidence obtained by satellite remote sensing. We found that the highest CO2 emission was located in the southern part of the study area. Since years ago, the region has been affected by deforestation and land expansion due to the need for fiscal revenues from palm oil and urbanization.
COMPARISON AND EVALUATION OF DIFFERENT APPROACHES FOR EFFICIENT PROCESSING OF LONG GROUND-BASED SAR TIMES SERIES
Authors: Rebmeister M. , Schenk A. , Hinz S.
Published: May 2022

Abstract. Ground-based Synthetic Aperture Radar (GB-SAR) is a monitoring tool which, once installed, acquires a large amount of data autonomously. For the IBIS-FM system, approximately 760 SAR images per day are acquired, which corresponds to more than 23 000 scenes per month. Therefore, this paper analysis different strategies for the interferometric processing of such large data stacks to find a compromise between accuracy, computational effort and the ability to (re-)process specific time intervals independently. This study compares the single master approach with the sequential approach and in addition two block-wise approaches. Moreover, a new baseline configuration called Daily Baseline Subset (DBAS) is compared which uses interferograms having a multiple of one day as temporal baseline. We evaluate them on a data stack of 30 000 images, acquired at Enguri Dam in Georgia. We check the unwrapping errors and the quality of the displacement estimation to compare the different configurations. We found that block-wise approaches show the best results considering unwrapping errors and Root Mean Square Error, while in our study the DBAS approach shows to the most plausible displacement map which is also dependent on the individual reduction of atmospheric noise.
BUILDING EXTRACTION FROM HIGH-RESOLUTION REMOTE SENSING IMAGERY BASED ON MULTI-SCALE FEATURE FUSION AND ENHANCEMENT
Authors: Chen Y. , Cheng H. , Yao S. , Hu Z.
Published: May 2022

Abstract. The accurate detection and mapping of buildings from high-resolution remote sensing (HRRS) images have attracted extensive attention. However, as an artificial target, buildings not only have various types, but also have multi-scale characteristics and complex context, which brings great challenges to the accurate identification of buildings. To deal with this problem, a semantic segmentation model based on multi-scale feature fusion and enhancement (MSFFE) is proposed for building extraction from HRRS images. Specifically, the proposed model uses the network structure of encoder and decoder. In the encoding stage, densely connected convolutional neural network is used as an encoder to extract multi-level spatial and semantic features. To effectively use the multiscale features of buildings, a multi-scale feature fusion (MSFF) module between encoder and decoder is designed to distinguish buildings of different scales in complex scenes. In the decoding stage, an attention weighted semantic enhancement (AWSE) module is introduced into the decoder to assist the up-sampling process. It not only makes full use of the multi-level features output by the encoder, but also highlights the key local semantic information of the building. To verify the effectiveness of the proposed model, experiments were conducted on two building segmentation data sets, WHU and INRIA. The preliminary results show that the proposed model can effectively identify buildings with different scales in complex scenes, and has better performance than the current representative networks including FCN, U-net, DeeplabV3+ and MA-FCN.
GIS STUDY ON THE GREEN SPACES OF THE CITY OF BRAȘOV, ROMANIA
Authors: Balint T.
Published: May 2022

Abstract. Urban sprawl is often the result of the transformation of the vegetation – covered land into build-up land. This expansion is caused by economic development, population growth and changing in living standards. For the progress of a city, a vision is needed in what will be achieved and methods by which this will be made possible. Due to the development of the city, the increase of the population number and other external factors, a study was needed to determine the area of the existing green spaces in the city of Brașov, Romania, in relation with the population number. Brașov is the most representative city, located in the Center of Romania, for economic and structure change. To analyze the green areas, were used remote sensing data from 2017 and 2021. Sentinel-2A images provided the support to analyze the land cover and the changes. The images were classified using ArcGIS Pro. This process gave a better understanding of the changes that took place in Brașov. The results indicated that the green areas almost doubled from 2017 to 2021. As a result of this growth, the citizens benefit due to the spaces created for recreation and outdoor activities.
DETECTION OF MAYA SACBEOB (SACBES) USING OPTICAL AND SAR IMAGERY IN NORTHERN PETÉN, MEXICO
Authors: LaRocque A. , Leblon B. , Ek J. , Folan W. J.
Published: May 2022

Abstract. The pre-Contact Maya peoples build roads (Sacbeob) to facilitate movement between and within cities and surroundings. Given the dense forest cover in the Lowland Maya region now known as Yucatan, ground surveys of sacbeob are time-consuming and challenging to perform. Remote sensing can be a good alternative as it offers the advantages of extensive regional coverage, zero disturbances to cultural resources, and an opportunity to acquire data in less accessible areas on a cost-effective basis. LiDAR technology is highly valuable to detect man-made structures, but this technology is costly and is time-consuming to acquire data over a large area. Satellite imagery presents an alternative for mapping large areas. Previous studies documented linear features that could represent sections of sacbeob between Calakmul and El Mirador using Landsat-5 TM green, red, and near-infrared images (Folan et al. 1995). This study used Landsat-7 and Landsat-8 optical images having more bands and radar imagery (Sentinel-1 C-VH&VV, and Alos-1 PalSAR L-HH&HV) to connect sacbeob mapped by Folan et al. (1995) between three ancient Maya cities (Calakmul, El Mirador, and Uxul). Our results suggest that radar images with the capacity to penetrate dense forest cover can contribute to the identification and documentation of ancient road systems. Such a study provides an ideal starting point for targeted ground verification.
EELGRASS BED MAPPING WITH MULTISPECTRAL UAV IMAGERY IN ATLANTIC CANADA
Authors: Leblon B. , LaRocque A. , Gallant E. , Clyne K. , Douglas A.
Published: May 2022

Abstract. Eelgrass (Zostera marina L.) is a marine angiosperm that grows throughout coastal regions in Atlantic Canada. This study aimed to assess the capability of UAV multispectral imagery to map the presence of eelgrass beds within two estuaries in Atlantic Canada (Souris River and Richibucto River). The images were mosaicked using Agisoft and calibrated in reflectance. The corrected images were classified using a non-parametric supervised classifier (Random Forests). The input features of the classification were the UAV band reflectance and associated bathymetric ratios and vegetation indices. The resulting maps were compared with sonar data. The overall validation accuracy for presence/absence was 91.30% with the Souris image and 86.92%% with the Richibucto images. The limitations of the study are also presented.
FUZZY COMPREHENSIVE EVALUATION OF LAND COVER CLASSIFICATION DATA
Authors: Luo F. , Li C. , Yan Y.
Published: May 2022

Abstract. The demarcation of the evaluation grade of surveying and mapping products is too rigid, and the evaluation results are often distorted due to the abnormality of an evaluation index. This paper takes the land cover classification data quality evaluation as an example and analyses the quality model, which includes quality factors and weight coefficients. In this paper, a multilevel fuzzy comprehensive evaluation method is introduced, a reasonable and efficient membership function is designed, and the evaluation results are evaluated by using the relative index of effectiveness and the probability of a single value distribution. The results show the fuzzy comprehensive evaluation method based on the premise of suitability weighting can make the evaluation results retain rich information, and the evaluation results are more reasonable and the improved fuzzy comprehensive evaluation method can be applied to the quality evaluation of other natural resource surveys and monitoring products.
GEOSPATIAL DIMENSIONS OF LAND COVER TRANSITIONS AND LAND SURFACE TEMPERATURE IN ABUJA CITY, NIGERIA
Authors: Salmamza Y. M. , Onywere S. M. , Letema S. C.
Published: May 2022

Abstract. Urbanization is often accompanied by succession of underlying land cover with impervious surfaces. Built intensification significantly alters the surface energy budget making cities warmer than their outlying suburbs, which signifies an ecological deterioration. Landsat imageries with scene covering Abuja city is processed using Google Earth Engine platform to estimate land cover and land surface temperature over the span of 30 years (1990–2020). Dimensions of land cover transitions were examined in-terms losses, gains, swaps, net-change and persistency. Thermal signature of each land cover type was estimated using land surface temperature. Urban thermal field variance index is computed from land surface temperature to evaluate the thermal conditions in the city. Results indicate that net-changes for built-up exhibited gains of 40% while agricultural land, bare-land and vegetation exhibited loss of 27%, 7% and 8% respectively. Built-up also showed the highest proportion of persistence (12%). Results shows that land surface temperature has increased by 2.01 °C from 1990 to 2020. Agricultural land, bare-land and built-up were found with the highest temperature. Lowest temperature was found in waterbody and vegetation. The ecological evaluation showed that 47% of the city is experiencing bad to worst thermal condition. These findings provide further information that can contribute towards an informed spatial planning in cities.
THE PAST, PRESENT AND FUTURE OF CO2, NO2, SO2 & CH4 IN PUNJAB REGION, INDIA
Authors: Romana H. K. , Shukla D. P.
Published: May 2022

Abstract. Anthropogenic activities have caused inferior quality of environment and threatens all living forms on the planet. Everyday human activities create havoc to earth’s climate. Any change in green-house gases affects the balance of earth’s ecosystem. The major concern of increased trace gases is their ability to trap sun’s energy, which is rising surface temperature. The rise in temperature is causing many extreme climatic events, melting of glaciers, uneven rainfall pattern, floods and droughts etc. The land of five rivers, Punjab is chosen as study area. The major green-house gases emission source is crop residue burning. This study forecast concentration of carbon dioxide, nitrogen dioxide, sulphur dioxide and methane for year 2021–2025 using satellite data. The methodology involves time series analysis using linear regression for three different iterations with different training period. The results shows that maximum concentration for CO2 in the year 2025 for 1st iteration is 424.46±5.58 ppm, 2nd iteration is 424.37±7.93ppm and 3rd iteration is 425.21±4.55ppm. The maximum concentration for SO2 rises to 0.19±0.03 DU for 1st iteration, 0.18±0.02DU for 2nd iteration and 0.19±0.03DU for 3rd iteration. Similarly, NO2 concentration rises to 24.45±2.56ppm for 1st iteration, 23.57±2.67ppm for 2nd and 26.85±2.99ppm for 3rd. Also, CH4 concentration rises to 1933.44±12.00ppbv for 1st iteration, 1932±13.81ppbv for 2nd and 1934±12.02ppbv for 3rd iteration. The study further concluded that the type of aerosols in the study area can be majorly categorized in anthropogenic aerosols. They are evenly distributed in the other three categories.
LANDFAST ICEBERG HEIGHT RETRIEVAL AND EVALUATION BASED ON REMOTE SENSING APPROACHES IN ANTARCTICA
Authors: Wang L. , Qiao G. , Florinsky I. V. , Popov S.
Published: May 2022

Abstract. Icebergs are one of the important components of Antarctic ice loss, and their spatial distribution and volume changes have a profound impact on ocean circulation, sea ice formation, freshwater balance and carbon cycle in the Southern Ocean, and ship navigation. Therefore, effective monitoring of icebergs is of great significance. Iceberg height is an important parameter of iceberg volume, and its accurate estimation is crucial to the calculation of iceberg thickness and volume. In this paper, based on optical satellite images, satellite altimetry data and digital surface model (DSM) derived from unmanned aerial vehicle (UAV), the iceberg height retrieval approaches were studied, including shadow based, satellite altimetry based and DSM based methods. Then, the results of different approaches were evaluated and analyzed by taking icebergs in the landfast ice area as an example. Finally, we concluded that all three methods could effectively extract the height information of icebergs. For the shadow-height method with relatively low accuracy, lower sun altitude and higher icebergs would be more conducive to accurate height estimation.
RGB-BASED DEEP SURFACE WATER CONTOUR DETECTION
Authors: Alsamman A. , Syed M.
Published: May 2022

Abstract. The application of remote monitoring of surface water has focused primarily on the detection of water bodies using expensive multi-spectral IR sensors. However, critical information about surface water bodies, particularly the dynamic behavior, is better derived from water contours. We show that water body detection is inadequate in accurately capturing the contours. Furthermore, we argue that RGB-based detection should be sufficient for accurate water detection. We present a new global dataset of remote sensing images obtained from Sentinel-2 and Landsat-8 missions and contour labeled to assist in this effort. We propose a unique UNet-style contour detection system that utilizes multiscale filters to detect contours accurately. Comparisons between our proposed system, existing water detection, and other segmentation and contour detection systems show the system's effectiveness in detecting water.
ESTIMATING 3D FOREST STRUCTURE USING LIDAR DATA FOR RISK ASSESSMENT OF SLOPE COLLAPSE CONSIDERING ROOT SYSTEM DEVELOPMENT
Authors: Koarai M. , Murayama I. , Watanabe K. , Kurihana Y. , Narikiyo A.
Published: May 2022

Abstract. In order to predict slope failure, it is useful to be able to grasp the state of root system development of trees by remote sensing techniques. Since there is a positive correlation between tree diameter and root system development, a field survey to verify how predictable the number of trees and breast height diameter can be from LiDAR data was conducted in the Abukuma Mountains Granite Area and the Yamizo Mountains Jurassic Sedimentary Rock Area. It was carried out for the logging site. As a result, it was found that the relative tree density can be determined and that the laser transmittance and the sum of cross-sectional areas of the trees are inversely correlated.
SHALLOW WATERS DEPTH ESTIMATION USING EMPIRICAL SATELLITE DERIVED BATHYMETRY AND SENTINEL-2 DATA, CASE STUDY: EAST COASTAL WATERS OF JAVA ISLAND
Authors: Gasica T. A. , Pratomo D. G.
Published: May 2022

Abstract. Hydrographic survey is an activity to provide spatial information in the marine sector. To produce accurate data, hydrographic surveys require very large costs. With the vast sea area in Indonesia, this becomes a very big challenge. In addition, there are some areas that cannot be reached by survey vessels (limited to a depth of > 25 m). Therefore, an alternative method is needed to provide bathymetry data in Indonesia. There is a new technique that is being developed and does not require high costs to obtain water depth data, by using remote sensing technology, especially by using passive sensor image technology. This technique or method is known as Satellite Derived Bathymetry (SDB) which can estimate depths of up to 30 meters. The SDB technique which is often used is empirical SDB. The empirical SDB has the principle of connecting the spectral value of the image with the measured depth. With the use of Sentinel-2 satellite imagery which has high temporal and spatial resolution, the SDB capability is expected to be improved. East coastal waters of Java Island are in the Bali Strait. This strait separates the island of Java from the island of Bali. In the Bali Strait there is a busy ferry shipping lane and there are also underwater cables used to supply electricity to Bali Island from Java Island. On the Java side, there are also many beaches and underwater tourism that must be preserved. Therefore, it is very important to be able to know the hydrographic data such as bathymetry data in the east coastal waters of Java Island. The objective of this work is thus to estimate shallow water depths using empirical SDB and Sentinel-2 images in the east coastal waters of Java Island. With two band combinations applied in the algorithm, best combination to produce the best depth map for the study area can be obtained. Comparing with reference data, the results show Band 1&3 combination give the better correlation and RMSE (0.76 and 0.026) than Band 2&3 combination (0.64 and 0.075).
Sleep Quality in End Stage Renal Disease Patients Undergoing Hemodialysis in a Tertiary Care Center in Rural Kanyakumari
Authors: Panicker Priya R , Sivakarthik K
Published: May 2022

Introduction: End Stage Renal Disease (ESRD) has increased in prevalence worldwide, becoming a major public health problem. About 80% of ESRD patients have subjective complaints of poor sleep.Poor sleep quality can potentially affect their quality of life and the pattern of medication use. Hence this study was designed to evaluate the quality of sleep in patients undergoing haemodialysis and to determine associated risk factors. Method: This cross sectional study was carried out among 110 ESRD patients in the dialysis unit of Kanyakumari hospital. Patients previously diagnosed with neuropsychiatric disorders, sleep apnoea or epilepsy were excluded. An investigator-administered structured questionnaire was used. Sleep quality was assessed using the Pittsburg Sleep Quality Index. A global PSQI score of more than 5 indicates poor sleep quality. Results: Mean age of ESRD patients was 52.7 years. About 71% of the patients were males. Majority of the patients (68.2%) had pre-existing Diabetes and Hypertension. Almost all of the patients (97.3%) had a PSQI score of more than 5 and were ‘poor sleepers’. About 94.7% patients had not used sleep medications at all. Increasing age and multiple morbidity were found to be statistically significant risk factors of poor sleep quality. Conclusion: Almost all of our subjects had poor sleep quality sleep and only few of them sought treatment for the same. Early detection of poor sleep quality will help in better management of sleep disorders among ESRD patients.
A Cross Sectional Study on Nutritional Status and Risk Factors Associated With Malnutrition among Elderly Population in Hyderabad
Authors: Durga A , Kiranmai B , Kumar Adarsh  K
Published: May 2022

Introduction: The elderly population is growing much faster. Ageing is a global phenomenon and it is expected that by 2050 every country in the world will have substantial increase in population aged 60 years and above. Malnutrition is common among older people over 60 years of age. They are likely to experience morbidity, premature mortality, poor quality of life and reduced functional ability than normally nourished persons. Malnutrition increases health care costs, reduces productivity, and slows economic growth, which can perpetuate a cycle of poverty and ill-health. Hence combating malnutrition in all its forms is one of the greatest global health challenges. Objective: 1) To assess the nutritional status among elderly population in Hyderabad. 2) To assess the risk factors which are associated with malnutrition among elderly population. Method: A Cross sectional study was conducted in July - September 2021 among elderly persons aged 60 years and above residing in urban slums of Hyderabad. Considering the estimated prevalence of malnutrition among elderly population to be 14.5%, the sample size was calculated as 198 and was rounded off to 200. Data was entered into Microsoft Excel and analysed using Epi Info version 7.2.2.6. A predesigned, pre-tested questionnaire was used to collect data. Malnutrition was assessed using Mini Nutritional Assessment (MNA). Results: Among 200 participants, 52.5% were females. The mean age of the study population was 68.3 years. Among them 18% of the study participants were malnourished, 27% were at risk of malnutrition and 55% had normal nutritional status. Conclusion: Early diagnosis and prompt treatment of elderly people at high risk for malnutrition may improve their nutritional status and prognosis.
Clients' Perspective for Quality of Services at One of the Urban Primary Health Centres (U-PHC) at Municipal Corporation Area in One of the cities of Western India
Authors: Jani Dharati , Sharma Rashmi
Published: May 2022

Introduction: Client satisfaction surveys are central to quality improvement at health facility. It helps in identifying areas of low satisfaction and steps to maximize patient satisfaction. Objectives: To assess client satisfaction towards services at Out Patient Department (OPD) of at an U-PHC under Ahmedabad Municipal Corporation (AMC), identify areas of low satisfaction and suggest feasible remedial measures for improvement. Method: Out of 74 U PHCs under AMC, 1 was selected through simple random sampling. Quality of care was evaluated through client’s feedback which was gathered through 10 check points (on structure, process and outcome) developed by state level quality team. Responses of 300 adult (> 18 years) subjects and their mean ± standard deviation scores were calculated. These subjects were selected consecutively @ 25 cases (new cases who came first and were willing) on every 2nd and 4th Mondays for 6 months (Sep 2019 – Feb 2020). Results: While availability of drugs was perceived as very satisfying that of investigations was relatively an area of concern. Overall, only 1 client rated the services as average while all rest (99.6%) rated services as very good to excellent. Conclusion: Quality of services at this U PHC was good to excellent and had wider acceptability among its client.
Needs Assessment Study for a Common Post-Graduate Curriculum in Community Medicine
Authors: Misra Shobha
Published: May 2022

What problem was addressed? A curriculum defines the learning that is expected to take place during a course or programme of study in terms of knowledge, skills and attitudes. The written and published curriculum is the official or formal curriculum. Curriculum or course needs to be monitored and evaluated to ensure that it is working as planned and also to identify areas or improvement. This study was conducted with the objectives to: identify the need for a common Post-Graduate Curriculum; enlist the must know, nice to know and desired to know areas and; enlist the areas for teaching and assessment in Community Medicine in Medical Colleges of a state in India.
Assessment of Vitamin D Status in General Population of Kashmir Valley of Indian Subcontinent
Authors: Bhat Mudasir Ahmad , Khan Kafeel , Khan Uzznain , Nazir Isbha
Published: May 2022

Introduction: The prevalence of vitamin D deficiency is reported to be high throughout the world. Overt Vitamin D deficiency manifests as rickets, birth defects and fractures in children. In adults, its manifestations include osteoporosis, osteomalacia, osteoarthritis, chronic muscular pain, increased risk of fractures, several endocrine, cardiovascular, immunological and neurologic disorders, some types of cancers, and depression. Objectives: To assess the Vitamin D status in general population of Kashmir valley by measuring serum 25-hydroxyvitamin D [25 (OH) D] levels. Method: 270 healthy volunteers from differing professions (69 men and 201 non-pregnant/non-lactating women, aged 18–65 years), residing in Kashmir valley were selected for this study. The samples were collected in both summer and winter months. Vitamin D deficiency/insufficiency was defined as a Serum 25 (OH) D concentration of < 30 ng/ml. Results: 222 (82.2%) of the subjects studied had Vitamin D deficiency. 45 of the 69 males and 177 of the 201 females were found to be Vitamin D deficient. The prevalence of vitamin D deficiency ranged from 58 % in the farmers group to 93% in the employee group. Vitamin D deficient subjects had a significantly lower mean weekly exposure to sunlight. Conclusion: The prevalence of Vitamin D deficiency in Kashmir valley is high especially among women. Serum 25(OH) D concentrations are significantly related to sun exposure.
Establishment of State Epidemic Intelligence Unit: From Thought to Action
Authors: Kosambiya J K
Published: May 2022

Public Health Emergencies of International Concern (PHEIC) have always been a threat to the health care system regardless of level (country, state or district). [1,2] The year 2020 will always be remembered for one of the biggest pandemics in the history of mankind. Gujarat, like other states of India, was challenged by the COVID-19 pandemic. In the Department of Community Medicine, Government Medical College, Surat, Gujarat, we were forecasting the course of COVID-19 wave in Surat city and Surat District using modeling techniques. It was during this activity that we became acutely aware that there was an unmet need of big data collection and analysis, especially at State level.
Analysis of Flood Peaks Using The Mean Annual Flood Method
Authors: Hidayat Acep , Basysyar Basysyar , Rief Alkhaly Yulius , Bin Ali Md Nadir
Published: May 2022

The Kedang Pahu river is one of the tributaries of the Mahakam river. The research plan is located in Damai District, West Kutai Regency, East Kalimantan province. Recently, the Damai District and Damai Seberang areas have flooded activities that have caused the surrounding settlements to flood into residential areas and block existing road access. Planning analysis and knowing the annual flood elevation is essential. The analysis uses the method of calculating the mean annual flood (MAF) to search for the average annual flood discharge data and the search for the average annual elevation. Data validation using a simple linear regression method produces a correlation coefficient of 58.67%, or R-value = 0.5867. The analysis results in the value of Q1 or the 1st year period, the mean annual flood rate of the average annual flood discharge is 2576.0695 m³/second and the value associated with the magnifying factor (GF) is the average annual flood discharge rate of Q5=3014,00 m³/ sec, Q10 = 3529.22 m³/sec, Q20 = 4095.95 m/sec, Q50 = 5049.10 m³/sec, Q100 = 5847.68 m³/sec, Q200 = 6852.34 m³/sec, Q500 = 8423.75 m³/sec & Q1000 = 9917.87 m³/sec. The analysis results at HEC-RAS 5.07 based on manning analysis showed the elevation values were Q1=18.47m, Q5=18.85m, Q10=18.86m, Q20=19.18m, Q50=19.74m & Q100=19.99m. Researchers only show elevations up to Q100 or the 100th year because of limited data and the reviewed data accuracy.
La admisión de escribanos de navíos en la Carrera de Indias
Authors: Fernández-López Francisco
Published: May 2022

El escribano de navío fue un personaje clave en el negocio marítimo de la Carrera de Indias. Su principal función fue certificar las mercancías que se cargaban en los navíos que viajaban a América. A medida que transcurrió el tiempo fue adoptando nuevas competencias no solo respecto al control de mercancías, sino también al control pasajeros, al registro de los testamentos e inventarios post-mortem de todos aquellos fallecidos durante las travesías y, en general, a todas las actuaciones y contratos que se efectuaban durante los viajes. En su nombramiento y admisión participaron las instituciones más importantes relacionadas con el comercio americano, dada la importancia de este personaje. Los pro-cedimientos llevados a cabo en el Consulado de cargadores a Indias y en la Casa de la Contratación para la aceptación de estos escribanos dieron lugar a la expedición de diferentes documentos que han llegado hasta nosotros en forma de expedientes. El análisis de esta documentación, desde el punto de vista de la Diplomática, es el principal objetivo de este trabajo.
Desafíos de la cooperación transfronteriza para el desarrollo en contextos de transformación regional latinoamericana
Authors: Guillermo Ramírez Martín , Cruz José María , Bendelac Gordon Leticia , Trillo Santamaría Juan M.
Published: May 2022

El presente artículo, elaborado por dos miembros del equipo de la Asociación de Regiones Fronterizas Europeas (ARFE), con el apoyo de dos investigadores de las universidades Complutense de Madrid y Santiago de Compostela, expone y analiza los desafíos a los que se enfrenta la cooperación transfronteriza para el desarrollo en América Latina. Lo hace a luz de la experiencia de la Asociación mediante el análisis comparativo de los procesos de integración y desarrollo territorial europeos y latinoamericanos. En particular, se incide en las lecciones aprendidas en diferentes proyectos ejecutados por la ARFE sobre el terreno, en un momento en el que se cumple una década de las primeras actividades birregionales organizadas por esta agrupación de regiones de frontera y 50 años de la creación de la misma.
Desarrollo e integración transfronteriza en la CAN y el MERCOSUR: Enfoques macrorregionales para la planificación territorial transfronteriza
Authors: Wong Villanueva José Luis
Published: May 2022

El presente artículo tiene como objetivo analizar el rol de los instrumentos de planificación y ordenamiento de los espacios transfronterizos de la CAN y MERCOSUR. Tomando como casos de estudio a las Zonas de Integración Fronteriza (ZIFs) y las Localidades Fronterizas Vinculadas (LFVs) respectivamente, se evalúan en base a su formulación, implementación, e impacto. El análisis revela que el intercambio de experiencias, la consideración de nuevas configuraciones territoriales, y un mayor estudio de las configuraciones espaciales de las políticas resultaría beneficioso para los procesos de desarrollo e integración transfronteriza.
Cooperación Sur-Sur en América Latina en tiempos de pandemia
Authors: Ubierna María Victoria
Published: May 2022

El presente trabajo busca evaluar la calidad de la cooperación latinoamericana de 2019, su intensidad, modos y áreas priorizadas, a fin de entender el estado del multilateralismo de la región, previo al estallido de la pandemia. Confiando en que este análisis puede brindarnos indicadores de cómo serán las respuestas de los países latinoamericanos a la crisis sanitaria del COVID-19 en 2020 y las herramientas con las que contaban, se buscará resaltar tendencias, cambios y continuidades en la cooperación latinoamericana entre 2007 y 2019, con especial foco en este último año. Para ello se recurrirá al Informe de la Cooperación Sur-Sur y Triangular en Iberoamérica 2020 que realiza la Secretaría General Iberoamericana. Los datos se analizaron en base a los compromisos asumidos en las Conferencias de Bandung, PABA y PABA+40.
Fenomena Era Disrupsi dalam Perspektif Pendidikan Agama Islam
Authors: Mudlofar M.
Published: May 2022

Kemunculan era disrupsi dalam dunia pendidikan ternyata berjalan beriringan dengan maraknya teknologi informasi dan komunikasi. Untuk itu, keberadaan teknologi ini tidak bisa diabaikan begitu saja. Adanya disrupsi dalam dunia pendidikan akan mendorong digitalisasi sistem pendidikan secara massif dan terstruktur dalam kurun waktu yang begitu singkat. Akibatnya, banyak lembaga pendidikan harus melakukan perubahan secepatnya agar relevan dengan tren perubahan yang ada. Munculnya era baru yang populer dengan istilah disrupsi, menuntut pendidikan harus segera berevolusi. Tuntutan era yang serba cepat, memang tidak bisa dihindari. Maka dari itu perlu adanya strategi khusus untuk menghadapi tantangan yang menghadang. Kita perlu tampil berani dengan pemikiran yang terbuka dan meninggalkan cara lama yang tidak produktif. Dunia pendidikan agama Islam perlu pula melakukan inovasi pembelajarannya. Inovasi itu lebih terfokus pada model pembelajaran yang dapat menyesuaikan dengan kemajuan teknologi yang terjadi. Optimalisasi peran pembelajar, dengan demikian, mutlak diperlukan, utamanya dalam dua hal. Pertama,  dalam kebangunan mindset, yaitu untuk menerima secara dapat cakap dan lebih berani melakukan inovasi pembelajaran sesuai kemajuan teknologi dan informasi.
Urgensi Prestasi Belajar Bidang Studi Fiqih dalam Meningkatkan Amal Ibadah Siswa
Authors: Rahmanto Sarwo Edi
Published: May 2022

Student achievement is needed to improve student charity. The habit of doing good deeds should be caused by the acquisition of competent learning in students, especially from fiqh subjects. From this background, there are several main questions, 1) How is the urgency of student achievement in the field of jurisprudence in improving student charity at MAN 1 Mojokerto? 2) What are the obstacles faced in relation to student achievement in the field of fiqh studies in improving student charity at MAN 1 Mojokerto? This type of research uses qualitative methods with a descriptive pattern field research approach. This study also uses the theoretical framework of student achievement and student worship. This study came to the findings that 1) The urgency of student achievement in the field of fiqh studies in improving student charity at MAN 1 Mojokerto must include the involvement of parents. Students who are gifted in religious arts must be accompanied by teachers who will be more focused in growing obedience and constancy in their religious practice activities. 2). There are two obstacles faced in relation to student achievement in the field of fiqh studies in improving student worship at MAN 1 Mojokerto, namely internal constraints that rely on the psychological personality of students and external constraints in the form of the residential environment and social environment. Both require parental intervention and the seriousness of the PAI and BK teachers in guarding and monitoring the development of students' interests so that it leads to good habits of student worship.
Peramalan Jumlah Pelanggan PLN Menggunakan Simple Linear Regression
Authors: Yayang Eluis Bali Mawartika  , Hendra Di Kesuma
Published: May 2022

The rate of population growth in Lubuklinggau City continues to increase every year, this is a factor in the increasing demand for electricity. The development of the number of PLN customers in Lubuklinggau City in 2017 was 90.606 customers, increasing to 120.809  customers in 2021. PLN must be able to predict the number of electricity customers in the future in order to provide electricity needs. One of the forecasting models that can be used to predict the development of the number of PLN electricity customers is the Simple Linear Regression model. Simple Linear Regression is a forecasting model based on the effect of the causal variables on the effect variables. The variables used are the population variable and the number of PLN customers. From these two variables, the process of analyzing the influence of population on the number of PLN customers in the future will be carried out. The results showed that 90% increase in population affects the number of PLN customers. With the prediction of the development of the number of customers, PLN Lubuklinggau can prepare the necessary facilities and can estimate how much additional power and electrical energy will be in meeting customer needs in the future.
Analisis Dukungan Keluarga dengan Kepatuhan Lansia Melaksanakan Diet Hipertensi
Authors: Sigalingging Ganda , Tafanao Nasilia
Published: May 2022

ABSTRACT

 

Hypertension is a chronic disease that is a health problem for the elderly. In Indonesia, hypertension is the fifth highest case with a prevalence of 25.8%, this figure is quite high where this tends to occur as a result of an unhealthy lifestyle and diet. This study aims to analyze the relationship between family support and adherence to a hypertension diet in the elderly at Padang Bulan Health Center, Medan City, Indonesia. This  analytical survey study applied cross sectional approach. The population of all elderly people aged 60 years. and over who came to the Padang Bulan Health Center was 196 people. This sampling technique was accidental sampling and the sample size was 66 people. In analyzing in data.  chi-square test was used. The results showed that there was a relationship between family support and adherence to a hypertension diet in the elderly with p value = 0.003. The conclusion is that there is a relationship between family support and elderly adherence to a hypertension diet. For the elderly with hypertension to follow the rules of the hypertension diet, by limiting the consumption of salt, foods containing fat and high sugar content, increasing the consumption of vegetables, fish, fruits, and exercising regularly. To the family, always pay attention, to arrange the recommended food diet menu, both in terms of setting the amount, type of food and meal time.

 

Keywords: Family Support, Compliance, Medan

 

ABSTRAK

 

Penyakit hipertensi merupakan penyakit kronis yang menjadi salah satu masalah kesehatan bagi lanjut usia. Di Indonesia hipertensi menduduki urutan kelima kasus tertinggi dengan pervalensi 25,8% angka ini  cukup tinggi dimana ini cenderung terjadi akibat dari gaya hidup dan pola makanan yang tidak sehat. Penelitian ini bertujuan untuk menganalisis  hubungan dukungan keluarga dengan kepatuhan diet hipertensi pada lanjut usia  di Puskesmas Padang Bulan Medan. Jenis penelitian Survey Analitik. Populasi seluruh lansia usia  60 tahun keatas yang datang ke Puskesmas Padang Bulan sebanyak 196 orang, teknik pengambilan sampel adalah accidental sampling dengan besar sampel 66 orang dengan sampel 66 orang menggunakan uji chi-square. Hasil penelitian menunjukkan bahwa ada hubungan antara dukungan keluarga dengan kepatuhan diet hipertensi pada lanjut usia dengan nilai p value = 0,003. Kesimpulan ada hubungan dukungan keluarga dengan kepatuhan lansia melaksanakan diet hipertensi. Kepada lansia penderita hipertensi untuk mengikuti aturan diet hipertensi, dengan membatasi konsumsi garam, makanan mengandung lemak dan mengandung gula tinggi, memperbanyak konsumsi sayuran, ikan, buah-buahan, dan olah raga secara teratur. Kepada keluarga, selalu memberikan perhatian, untuk mengatur menu diet makanan anjuran baik dari pengaturan jumlah, jenis makanan dan waktu makan.

 

 

Kata Kunci : Dukungan Keluarga, Kepatuhan, Medan
HUBUNGAN PENGETAHUAN IBU DENGAN SIKAP IBU TENTANG MASASE BAYI YANG MENGALAMI BERAT BADAN LAHIR RENDAH
Authors: Siregar Debi Novita , Manao Herlinawati , Aini Endang Nurul , Mendrofa Lensawati , Hasibuan Hanisah Sopiah
Published: May 2022

Background: Low birth weight (LBW) is a health problem in many countries, especially in developing countries or countries with low socio-economic conditions. Massage is an effort to increase the baby's weight, including LBW. The purpose of the study was to find out how the relationship between mother's knowledge and mother's attitude about infant massage with low birth weight in Hilitobara Village, South Nias Regency in 2021.

Methods: This type of research is a quantitative study using a cross-sectional approach, namely the researcher takes measurements or studies at one time to find out whether or not there is a relationship between two independent variables with a dependent on one measurement. This research was conducted in Hilitobara Village, South Nias Regency. The population in this study amounted to 30 infants with low birth weight. The sampling technique used was the total sampling technique, so the number of samples in this study amounted to 30 people. The data collection technique used a questionnaire sheet with Univariate and Bivariate data analysis techniques

Results: The results of the Pearson ChiSquare test value from Asymp. Sig. (2-sided) is 0.050. There is a Relationship between Mother's Knowledge and Mother's Attitude About Baby Massage with Low Birth Weight in Hilitobara Village, South Nias Regency

Conclusion: Massage is the right alternative for babies to increase baby's weight