bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mapping of Vegetation Development Zone to Enhance the Coastal Community Resiliency
Authors: Dewi S. P. , Kurniati R. , Sarasadi A. 
Published: November 2021

AbstractClimate change has implications for the environment and community such as the existence of climate-related disasters. The changes of weather cycle triggers flooding in coastal areas, then high water discharge eroded the soil and caused landslides. Land conversion of upstream area causes low water absorption and high run-off which also contributes to flooding and landslides in the downstream area. Efforts to normalize rivers and urban drainage have not been able to cope with floods and landslides. Therefore, it needs an effort to minimize these disasters. The vegetative approach is an alternative for mitigating floods and landslides that are considered more comprehensive which not only conserves landscapes but also contributes to increasing green open space provision. This study aims to analyse the possibility of applying a vegetative approach to improve the physical and socio-economic community’s resiliency in coastal areas from climate-related disasters. The research method used a quantitative method with data collection techniques through literature studies, field observations, and questionnaires. The data processing stages include analysis of the physical condition to determine the physical vulnerability of the area through the physical natural map overlay technique; analysis of the climate-related disasters impact on society through descriptive statistical analysis techniques; and analysis of the possibility of applying the vegetative approach by using spatial analysis techniques to determine the level of vulnerability and priority zones for vegetation development.
Effect of Changes Composition and Intensity of Green Space on Surface Temperature: Case Study in Pekalongan Regency, Indonesia
Authors: Pradana A. , Pugara A. , Puspasari D. A. 
Published: November 2021

AbstractThe spatial planning document is planning guidance intended to regulate an area’s spatial use and development planning. This document contains the component that regulates the composition of green space. This composition is designed to maintain the stability of the existing ecosystem quality. Pekalongan is one of the Regency in Central Java Province with environmental problems related to lack of green space area. The existence of ecological degradation makes environmental quality in Pekalongan one that needs to be considered. This study aims to determine the effect of changes in the composition and intensity of green space on surface temperature from these problems. This study will use time-series data during the initial implementation of spatial planning documents (2013) to the current year (2021) to see how changes in the composition and intensity of green space in each sub-district in Pekalongan Regency. The method used is descriptive quantitative with a GIS approach. The result of this study can be a consideration to make policies related to green space.
Spatial Modeling of Environmental Quality Change Based on Geographic Information System
Authors: Wiratmaja I. G. , Sejati A. W. 
Published: November 2021

Abstract
A coastal area is prone to decrease of environmental quality due to coastal land abrasion and inundation/tidal flood. Several studies have shown that the coastline of Sayung District, Demak Regency, is moving toward the mainland for 6.8 mm/year and the surrounding area is experiencing land subsidence for 5-7 cm/year. These phenomena have consequences to the environmental quality in the area. In this case, this research aims to develop a spatial model using a Geographical Information System (GIS) in describing and predicting changes of environmental quality in Sayung District, Demak Regency. Four variables in a Risk-Screening Ecological Index (RSEI) approach, namely (1) vegetation density, (2) soil moisture, (3) soil quality, and (4) built space and surface temperature were used as indicators of the environmental quality. A raster calculator and Spatial Principal Component Analysis (SPCA) were then used to calculate total value of the environmental quality. This research results that the environmental quality of the study area is decreasing which indicated by the RSEI value of 0.614 (1999), 0.4749 (2009), and 0.3933 (2019). The environmental quality in the study area is also worsened by waterbody expansion.
The Social Restrictions Impact on Urban Heat Island Phenomena (Case Study: Cities in Java Island)
Authors: Agni A. M. , Pangi P. , Septiarani B. , Astuti K. D. 
Published: November 2021

Abstract
The Coronavirus Disease 2019 (Covid-19) pandemic has hit Indonesia since March 14, 2020. The rapid spread of the virus has caused the central and regional governments to implement community activity policies. Some terms and methods used by local governments such as PSBB (the Large-Scale Social Restrictions) are applied in Special Capital Region of Jakarta and Surabaya City, in Semarang City has PKM (Restrictions on Community Activities). This study aims to analyze the impact of the social restrictions on Urban Heat Island (UHI) in the Java Island big city. This research was conducted in big cities on Java Island that apply social restrictions, namely Special Capital Region of Jakarta, Bandung, Semarang, Yogyakarta, Surakarta, Surabaya, and Malang. The data used are Landsat 8 satellite imagery in 2019 and 2020. The method used is to compare the magnitude of the Land Surface Temperature (LST) and UHI before and after social restrictions. The results of the analysis explain that there is a decrease in LST and changes in UHI in the cities of Special Capital Region of Jakarta, Bandung, Semarang, Surakarta, and Yogyakarta. However, in Surabaya and Malang, there was an increase in LST. This study concludes that the implementation of social restrictions affects changes in UHI and decreases LST.
Understanding Spatial Planning Policies in Responding to Urban Heat Island Using GIS Analysis in The Kendal Industrial Area
Authors: Ariani N. M. , Wijaya M. I. H. , Priambudi B. N. 
Published: November 2021

Abstract
The formulation of spatial planning strategies in an area is strongly influenced by the development of issues and problems in the area. Spatial planning policies contained in a regional regulation must be able to be aware of and deal with all current and future problems. Urban Heat Island) is currently a very growing issue in various regions in Indonesia which is influenced by many factors, one of which is the increase in built-up land. The issue of the Urban Heat Island is important because its effects are starting to be felt, including natural degradation, health, economic losses to excessive energy use. One of the most dominant areas in contributing to hot temperatures in urban areas is the industrial area. Kendal Regency is one of the regions in Indonesia with a fairly dominant industrial estate development. Industrial areas that are synonymous with built-up land, air pollution and the lack of green open spaces are one of the triggers for an increase in temperature. In contrast to the negative effects caused, the development of industrial estates in Kendal Regency is one of the drivers of the regional economy so that its existence is considered important. This study aims to understand spatial planning policies in response to the Urban Heat Island in the Kendal Regency industrial area. The research method used is spatial analysis using Landsat 8 imagery with supervised classification to see the UHI phenomenon in the Kendal industrial area, the results of which are used as a basis for evaluating spatial policies in response to UHI. The spatial policy of Kendal Regency in the designation of industrial areas has not fully responded to the UHI phenomenon in industrial areas, although 13 of the 14 clauses indicate the potential for an increase in surface temperature. UHI in the Kendal Regency spatial policy has not been seen as a threat to urban areas. Mitigation efforts against UHI mentioned are only in the form of providing green open space and waste management. It is hoped that this research can be input in improving spatial planning policies in the Kendal Regency industrial area, especially to suppress the increase in temperature.
Spatial Distribution on Recovery Strategy Due to The Impact of The Covid-19 Pandemic on The Conditions of Micro Small Medium Enterprises (MSME’s) in Central Java Province, Indonesia
Authors: Widiastuti W. , Handayani A. , Hermawan A. 
Published: November 2021

Abstract
MSMEs are the backbone of the economy in Indonesia. However, most MSMEs were collapse due to the Covid-19 pandemic. Therefore, MSMEs recovery is needed to restore the real sector, particularly in Central Java. The study analyses the impact and economic recovery strategies during and after Covid-9 in the MSME sector. The research used a descriptive qualitative method. Data were collected by electronic survey and in-depth interviews and analyzed by SWOT. The results showed the Covid-9 pandemic significantly reduced MSME business actors’ profits due to decreased sales, while production costs remained or even increased. The vulnerability of MSMEs closes their businesses based on the subjective perceptions of business actors is that most of them can survive for more than a year ahead (33.1%) and the next six months to one year (30%). The rest can last for less than one month to the next six months, starting from December 2020. MSME entrepreneurs took several strategies to keep their business running. The methods include looking for new markets, providing discounts and bonuses, diversifying products, giving a consignment, looking for cheaper suppliers/raw materials, and purchasing raw materials with the last payment due. Potential risks when MSMEs are unable to maintain business are (1) lousy credit; (2) layoffs for workers and bankruptcy for business owners; and (3) supply and demand drop. The government should take action to recover MSMEs. The promising policies are (1) Facilitate MSMEs with capital for purchasing raw materials, (2) Development local supply chains through trading houses and regional logistics, (3) Facilitating access to financing, production, and marketing, (4) Encouraging product diversification according to the current needs of consumers, (5) Development of the MSME entrepreneurial ecosystem with a multi-stakeholder approach.
Analysis of Land Potential for Infrastructure Development of Natural Gas Distribution Pipeline for Households in Bekasi Regency, Indonesia
Authors: Rosmayati L. , Eviani M. , Kurniawan D. , Lusyana L. , Atmanto M. D. 
Published: November 2021

Abstract
Priority locations and land for the construction of households natural gas connections in Bekasi Regency are determined based on considerations of regional topography, potential number of household customers (population or household density), proximity to gas tapping point and the absence of installed Jargas, and Bekasi Regency Regional Regulation No. 12 of 2011 concerning Spatial Planning (Rencana Tata Ruang Wilayah) for Bekasi Regency. Prior to the technical design of natural gas pipeline, land mapping was carried out with a geographic information system containing surface spatial data. Geospatial data analysis is used to identify potential locations as natural gas tapping points, locations to place Metering Reduction Stations (M/RS) and Regulating Sector (RS), as well as potential crossing locations in the design of natural gas distribution pipelines. Subsequently, a verification survey was conducted on the results of the geospatial data analysis which was compared with conditions in the field.
Evolution mechanism of cyclized structure of PAN-based pre-oxidized fiber during low temperature carbonization process
Authors: Wang Bin , Wu Shuai , Li Chenggao , Cao Weiyu 
Published: November 2021

Abstract
The low temperature carbonization process is an important stage to realize the structural transition from the organic cyclized structure of PAN based pre-oxidized fiber to the inorganic pseudo-graphite structure of the ultimate carbon fiber. In the present paper, the evolution mechanism of cyclized structure and aggregation structure of PAN stabilized fiber during low temperature carbonization was studied by means of TGA, 13C-NMR, XRD, XPS and Raman. The results indicated that when the heat-treated temperature was lower than 450 °C, the mainly chemical reactions were the dehydrogenation and pyrolysis reactions in acyclic linear molecular chain or partial cyclized structure. At this stage, the growth of cyclized structure was not obvious. While the original ordered structure was destroyed gradually and the internal stress increased significantly. It induced the cyclized structure to be further oriented. When the temperature was higher than 450 °C, the polycondensation and reconstruction in aromatic heterocyclic structure was more important. The early aromatic heterocycles had many different structural scales, poor homogeneity and many defects in the heterocycles. At this stage, a new pseudo-graphite crystalline structure gradually formed and the d-spacing of graphite layer decreased slightly and crystallites size increased slowly with the increase of heat-treated temperature. When the temperature was higher than 550 °C, the pseudo-graphite base structure gradually formed. The d-spacing were further reduced slightly, and the crystallites size increased slowly. A new ordered basis structure was gradually developed into carbon fiber.
Effect of cooling rates after annealing on the microstructure and properties of 1000 MPa grade automobile steel for cold forming
Authors: Dong Ruifeng , Zhao Qingbo , Bi Xiaohong , Deng Xiangtao , Shen Wentian , Lu Yongfa , Gele Teri , Baoxing  
Published: November 2021

Abstract
The effects of different cooling rates (0.05 °C s−1, 0.1 °C s−1, and 0.2 °C s−1) on the microstructure and mechanical properties of 1000 MPa grade automobile steel for cold forming after two-phase annealing were studied. The microstructure of the experimental steel was observed by SEM and TEM, and its mechanical properties were tested by a universal tensile testing machine. The results showed that by increasing the cooling rate of two-phase annealing, more massive retained austenite, more uniform and fine ferrite, better elongation and higher ultimate tensile strength of steel can be obtained, so as to obtain better production of tensile strength and total elongation (product of tensile strength and elongation, PSE). The final result shows that after the test steel is quenched at 800 °C + 10 min and annealed in the two-phase region at 690 °C + 10 min, the faster the cooling rate, the better the mechanical properties. The mechanical properties of the steel plate are the best when the cooling rate reaches 0.2 °C s−1, and PSE can reach 27.44 GPa·%.
Soft iontronic delivery devices based on an intrinsically stretchable ion selective membrane
Authors: Cherian Dennis , Lienemann Samuel , Abrahamsson Tobias , Kim Nara , Berggren Magnus , Simon Daniel T , Tybrandt Klas 
Published: November 2021

Abstract
Implantable electronically controlled drug delivery devices can provide precision therapeutic treatments by highly spatiotemporally controlled delivery. Iontronic delivery devices rely on the movement of ions rather than liquid, and can therefore achieve electronically controlled precision delivery in a compact setting without disturbing the microenvironment within the tissue with fluid flow. For maximum precision, the delivery device needs to be closely integrated into the tissue, which is challenging due to the mechanical mismatch between the soft tissue and the harder devices. Here we address this challenge by developing a soft and stretchable iontronic delivery device. By formulating an ink based on an in-house synthesized hyperbranched polyelectrolyte, water dispersed polyurethane, and a thickening agent, a viscous ink is developed for stencil patterning of soft ion exchange membranes (IEMs). We use this ink for developing soft and stretchable delivery devices, which are characterized both in the relaxed and stretched state. We find that their functionality is preserved up to 100% strain, with small variations in resistance due to the strain. Finally, we develop a skin patch to demonstrate the outstanding conformability of the developed device. The presented technology is attractive for future soft implantable delivery devices, and the stretchable IEMs may also find applications within wearable energy devices.
Probabilistic Machine Learning with Low-Cost Sensor Networks for Occupational Exposure Assessment and Industrial Hygiene Decision Making
Authors: Patton Andrew N , Medvedovsky Konstantin , Zuidema Christopher , Peters Thomas M , Koehler Kirsten 
Published: November 2021

Abstract
Occupational exposure assessments are dominated by small sample sizes and low spatial and temporal resolution with a focus on conducting Occupational Safety and Health Administration regulatory compliance sampling. However, this style of exposure assessment is likely to underestimate true exposures and their variability in sampled areas, and entirely fail to characterize exposures in unsampled areas. The American Industrial Hygiene Association (AIHA) has developed a more realistic system of exposure ratings based on estimating the 95th percentiles of the exposures that can be used to better represent exposure uncertainty and exposure variability for decision-making; however, the ratings can still fail to capture realistic exposure with small sample sizes. Therefore, low-cost sensor networks consisting of numerous lower-quality sensors have been used to measure occupational exposures at a high spatiotemporal scale. However, the sensors must be calibrated in the laboratory or field to a reference standard. Using data from carbon monoxide (CO) sensors deployed in a heavy equipment manufacturing facility for eight months from August 2017 to March 2018, we demonstrate that machine learning with probabilistic gradient boosted decision trees (GBDT) can model raw sensor readings to reference data highly accurately, entirely removing the need for laboratory calibration. Further, we indicate how the machine learning models can produce probabilistic hazard maps of the manufacturing floor, creating a visual tool for assessing facility-wide exposures. Additionally, the ability to have a fully modeled prediction distribution for each measurement enables the use of the AIHA exposure ratings, which provide an enhanced industrial decision-making framework as opposed to simply determining if a small number of measurements were above or below a pertinent occupational exposure limit. Lastly, we show how a probabilistic modeling exposure assessment with high spatiotemporal resolution data can prevent exposure misclassifications associated with traditional models that rely exclusively on mean or point predictions.
Investigating Clinician Experiences of Teleneuropsychology Service Implementation within Rural Inpatient Rehabilitation Settings: A Mixed Method Approach
Authors: Van Den Broek Sian R , Bagot Kathleen L , Arthurson Lauren , Cadilhac Dominque A , Stolwyk Renerus J 
Published: November 2021

Abstract

Objective
The aim of this study was to understand clinicians’ experiences of teleneuropsychology service implementation within rural inpatient rehabilitation settings and the variability of those experiences across rural settings and clinical disciplines.

Method
Clinicians (n = 56 from four rehabilitation settings) who were involved in a hub-and-spoke teleneuropsychology service completed surveys throughout service implementation. A purposive sample of 16 clinicians then completed semi-structured interviews at the conclusion of the service implementation period. Quantitative data were analyzed descriptively and qualitative data were analyzed using thematic analysis, prior to the results being converged.

Results
Four themes characterizing clinicians’ experiences were identified. Pre- and early-implementation considerations included factors such as early collaboration and consultation, which were identified as important for service integration into rural settings. Facilitators/barriers included factors such as technology usability, which positively or negatively influenced service implementation. Benefits and outcomes included perceptions on the impact of the service, such as improved equity and quality of care in rural settings. Finally, future applications encapsulated what the clinicians envisaged for the future of teleneuropsychology services, such as hybrid teleneuropsychology/in-person services. Some differences were identified in clinicians’ experiences across rural settings and disciplines, including preferences for technology infrastructure and satisfaction with teleneuropsychology sessions.

Conclusions
Most clinicians reported positive experiences and acceptability of the teleneuropsychology service. Facilitators and barriers, which can guide the successful establishment of future teleneuropsychology services, were identified. These findings may be used to contribute to improving equity and quality of care for people living with neuropsychological impairments, especially those living in rural areas.
Delayed parenthood and its influence on offspring health: what have we learned from the mouse model
Authors: Zacchini Federica , Sampino Silvestre , Ziętek Marta , Chan Alan 
Published: November 2021

Abstract
Delayed parenthood is constantly increasing worldwide due to various socio-economic factors. In the last decade, a growing number of epidemiological studies have suggested a link between advanced parental age and an increased risk of diseases in the offspring. Also, poor reproductive outcome has been described in pregnancies conceived by aged parents. Similarly, animal studies showed that aging negatively affects gametes, early embryonic development, pregnancy progression, and the postnatal phenotype of resulting offspring. However, how and to what extent parental age is a risk factor for the health of future generations is still a subject of debate. Notwithstanding the limitation of an animal model, the mouse model represents a useful tool to understand not only the influence of parental age on offspring phenotype but also the biological mechanisms underlying the poor reproductive outcome and the occurrence of diseases in the descendants. The present review aims at i) providing an overview of the current knowledge from mouse model about the risks associated with conception at advanced age (e.g. neurodevelopmental and metabolic disorders), ii) highlighting the candidate biological mechanisms underlying this phenomenon, and iii) discussing on how murine-derived data can be relevant to humans.