bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factor Influencing Basecamp Location Selection of Highway Projects Based on Spatial Analysis
Authors: Hermawan F. , Yunianto E. , Nuroji N. 
Published: November 2021

AbstractThe highway project has a significant challenge in carrying out its work. The procurement of massive and constant materials is a significant problem. There are problems in basecamp selection: high transportation costs due to the distance to the raw material from the quarry, and on a managerial level, selection of basecamp location is the basis for construction firm management in controlling costs, time, and quality of the project. The literature review has mapped technical and non-technical factors in two decades. However, the lesson learned from historical data as a basis for decision-making is limited—the mileage factor between the quarry to the basecamp and from basecamp to the project site. This study aims to analyze the factors that influence determining the basecamp location for highwayprojects. The research method used is a case study, with a qualitative approach strategy using a questionnaire from experienced parties in similar projects. Analytical Hierarchy Process approach and in-depth interview with the former technical manager of highway project from a construction company were used as a decision support tool. The results showed that a priority of basecamp selection was determined based on the factor of the distance from the base camp to the project site, the distance from the basecamp to the quarry, the plan for independent material production. Apart from technical constraints, licensing and social issues were a factor in the location determination stage. This study contributes to the decision-making model for selecting basecamp locations at the managerial level in a construction company.
Spatial Model to Determine Environment-Based Disease: Leptospirosis Vulnerability Zones in Bantul District, Indonesia
Authors: Sunaryo S. , Marbawati D. , Ikawati B. 
Published: November 2021

Abstract
Leptospirosis is a zoonosis caused by Leptospira bacteria, transmitted through skin wounds or mucous with water or soil contaminated with leptospires from animal urine especially rodents. This paper aims to map spatially the distribution of leptospirosis and to determine a model of leptospirosis-vulnerability areas based on environment variables using the Geographic Information System. The method used was making a zoning map based on the scoring and weighting of the environmental risk variables of leptospirosis transmission. The spatial distribution of leptospirosis in Bantul District in 2019 is evenly distributed in each sub district, the most cases were in Bantul, Sewon, Kasihan sub districts. Leptospirosis vulnerability zones in the center and northern region of Bantul District. Intensive surveillance, treatment and control of leptospirosis as an early warning system in focus areas.
Spatial Economy Approach to Assess The Effectiveness of Poverty Treatment Policy Models and Regional Economic Impacts
Authors: Prasetyo A. , Gartika D. 
Published: November 2021

Abstract
Poverty in Indonesia is still a major problem in national development. Therefore, poverty is still a top priority program that must be carried out by various regions in Indonesia. Various models of regional policies have been created to promote poverty alleviation. This study aims to evaluate and analyze the poverty alleviation policy model that has been carried out by the Sumedang Regency Government and the Magelang Regency Government and its impact on the socio-economic sector through a spatial approach. The research was carried out with a qualitative descriptive method using secondary data derived from official government documents covering poverty alleviation policies and their performance achievements. This study is able to show a scientific deepening of the form of poverty reduction supported by the sensitivity of regional policies to provide space in the process of spatial-based regional economic development. The results of this study present a partial spatial strategy that must be carried out, including agricultural intensification from the small farming sector, the development of a more dynamic commercial agriculture sector, providing growth stimulation in the non-agricultural rural sector, shifting the productive age population and providing a safety net for those trapped in poverty. poverty as an alternative in solving poverty alleviation. This strategy can be used as a recommendation for further improvement of poverty alleviation policies by presenting policy implications and a roadmap for the action plan.
Applying Spatial Analysis in Supporting Tourism Planning Concept of Jepara Regency, Indonesia
Authors: Wijaya H. B. , Pigawati B. 
Published: November 2021

Abstract
This paper aims to analyze the decision-making process in determining the location of the tourism development center in Jepara district through spatial analysis using GIS. The method applied is map superimpose from several categories such as slope, rainfall, existing land use, and soil type. Another analysis carried out is network analysis with GIS to determine the level of accessibility of tourism locations. From the results of this analysis, alternative tourist locations were obtained as one of the supporting tourism development plans in Jepara Regency. With this result, it is easier for the government to determine the priority of development locations with visualization and location accuracy in accordance with tourism area standards.
Mapping of Karangsambung - Karangbolong Geopark, as an Effort to Manage Geoheritage in Kebumen Regency
Authors: Ansori C. , Raharjo P. D. , Fariji M. A. 
Published: November 2021

Abstract
Kebumen is the most underdeveloped district in Central Java Province. The area covers the mountains in the north to the coast in the south. Kebumen has a unique geological diversity, exciting and international scientific value so that it is widely used as a natural laboratory for conservation, education, and research purposes Minister of Energy and Mineral Resources Decree No. 2817 K/40/MEM/2006 has designated 21,150 hectares in Karangsambung as the first geological heritage in Indonesia. At the height of Karangbolong in the southern part, there are limestones. An area of 4,089 hectares has been designated through the Decree of the Minister of Energy and Mineral Resources Number: 3873 K/40/MEM/2014 as a Kars Landscape Area, which has a protected function. Geopark is a concept of sustainable development in a single area with a geoheritage for conservation, education, and sustainable economic development of local communities. A place of 543,599 km2 covering 12 sub-districts and 118 villages stretching from the Karangsambung geoheritage to the Karangbolong geoheritage has been designated as the Karangsambung Karangbolong National Geopark since 2018. This geopark is planned to be upgraded to a UNESCO global geopark. This study aims to see whether the management of the two geoheritages with the geopark concept is the right choice. The research was conducted through literature studies, field research, comparative studies on geoparks in other places, and qualitative data analysis.
Experimental study on plasma actuation characteristics of nanosecond pulsed dielectric barrier discharge
Authors: ZHENG Hao , LIANG Hua , CHEN Jie , ZONG Haohua , MENG Xiangzhe , XIE Like , LI Yinghong 
Published: November 2021

Abstract
Combining high-speed schlieren technology and infrared imaging technology, related research has been carried out on the influence of parameters such as actuation voltage, repetition frequency, and electrode size of an actuator on the discharge characteristics, induced flow field characteristics, and thermal characteristics of nanosecond pulsed dielectric barrier discharge. The results show that increasing the value of the actuation voltage can significantly increase the actuation intensity, and the plasma discharge area is significantly extended. Increasing the repetition frequency can increase the number of discharges per unit time. Both will cause more energy input and induce more changes in the flow field. The effect of temperature rise is more significant. The width of the covered electrode will affect the potential distribution during the discharge process, which in turn will affect the extension process of the plasma discharge filament. Under the same actuation intensity, the wider the covered electrode, the larger range the induced flow field and temperature rise is. Preliminary experimental analyses of high-frequency actuation characteristics, temperature field characteristics, flow field characteristics and actuation parameter settings provide support for the parameter selection and partial mechanism analysis of plasma anti-icing.
What are the main challenges facing the sustainable development of China’s Yangtze economic belt in the future? An integrated view
Authors: Jiang Haiyan , Simonovic Slobodan P , Yu Zhongbo , Wang Weiguang 
Published: November 2021

Abstract
Interactions among human and natural systems are fundamental to many issues facing today’s sustainable development. Yangtze Economic Belt (hereafter Belt), one of the most dynamic regions in China, is of no exception. The economic prosperity of the Belt, however, comes at the price of ecological and environmental degradation, which poses severe challenges to its sustainable development. This paper describes the application of the ANEMI_Yangtze system dynamics model, aiming at identifying the main challenges facing the Belt and the potential way out towards its sustainable development. Three scenarios are proposed to (i) explore the potential impacts of climate change; (ii) examine how changes in birth control policy affect population dynamics and the natural-environmental systems; and (iii) investigate how policies aimed at improving the eco-environment conditions affect the Belt. Results show that a moderate rise in temperature is beneficial to the Belt’s economy and energy-food-water systems, but further temperature rise is harmful. Population in the Belt peaks around 2030, 2080, and 2100 under one-child, two-child, and three-child policies, respectively. Suppose no major changes in economic, technological, and policy developments are introduced. In that case, the Belt may face a serious energy deficit ranging from 10 to 17 billion tce. A food self-sufficiency ratio will fall from around 0.7 to 0.39 by 2100 as the country’s birth control policy loosens. Water scarcity occurs if surface water is considered as the only supply and this situation becomes even more serious when water pollution effects are considered. However, water stress will be greatly allievated if groundwater and wastewater reuse are introduced. The policy of increasing nutrient removal efficiency can save million lives. Finally, our results also suggest that the recently introduced 10-year fishing ban policy can not prevent the Yangtze fish stock from depletion in the long run.
Oil and gas wastewater as road treatment: radioactive material exposure implications at the residential lot and block scale
Authors: Bain Daniel J , Cantlay Tetiana , Garman Brittany , Stolz John F 
Published: November 2021

Abstract
The resurgence of oil and gas extraction in the Appalachian Basin has resulted in an excess of oil and gas brines in Pennsylvania, West Virginia, and Ohio. Primarily driven by unconventional development, this expansion has also impacted conventional wells and consequently, created economic pressure to develop effective and cheap disposal options. Using brine as a road treatment, directly or as a processed deicer, however, creates substantial concern that naturally occurring radioactive material in the brines can contaminate roads and road-side areas. Current decision making is based on risk exposure scenarios developed by regulatory agencies based on recreational users in rural areas and exposures to drivers during a typical commute. These scenarios are not appropriate for evaluating exposures to residential deicer users or people living near treated streets. More appropriate exposure scenarios were developed in this work and exposures predicted with these models based on laboratory measurements and literature data. Exposure scenarios currently used for regulatory assessment of brine road treatment result in predicted exposures of 0.4–0.6 mrem/year. Residential exposures predicted by the scenarios developed in this work are 4.6 mrem/year. If the maximum range of near-road soil radium concentrations observed in the region is used in this residential scenario (60 pCi/g 226Ra, 50 pCi/g 228Ra), residents living near these roads would be exposed to an estimated 296 mrems/year, above regulatory exposure thresholds used in nuclear facility siting assessments. These results underline the urgent need to clarify exposure risks from the use of oil and gas brines as a road treatment, particularly given the existing disparities in the distribution of road impacts across socioeconomic status.
Deconstructing scale-free neuronal avalanches: behavioral transitions and neuronal response
Authors: Curic Davor , Ivan Victorita E , Cuesta David T , Esteves Ingrid M , Mohajerani Majid H , Gruber Aaron J , Davidsen Jörn 
Published: November 2021

Abstract
Observations of neurons in a resting brain and neurons in cultures often display spontaneous scale-free (SF) collective dynamics in the form of information cascades, also called ‘neuronal avalanches’. This has motivated the so called critical brain hypothesis which posits that the brain is self-tuned to a critical point or regime, separating exponentially-growing dynamics from quiescent states, to achieve optimality. Yet, how such optimality of information transmission is related to behavior and whether it persists under behavioral transitions has remained a fundamental knowledge gap. Here, we aim to tackle this challenge by studying behavioral transitions in mice using two-photon calcium imaging of the retrosplenial cortex (RSC)—an area of the brain well positioned to integrate sensory, mnemonic, and cognitive information by virtue of its strong connectivity with the hippocampus, medial prefrontal cortex, and primary sensory cortices. Our work shows that the response of the underlying neural population to behavioral transitions can vary significantly between different sub-populations such that one needs to take the structural and functional network properties of these sub-populations into account to understand the properties at the total population level. Specifically, we show that the RSC contains at least one sub-population capable of switching between two different SF regimes, indicating an intricate relationship between behavior and the optimality of neuronal response at the subgroup level. This asks for a potential reinterpretation of the emergence of self-organized criticality in neuronal systems.
Dual-Network Collaborative Matrix Factorization for predicting small molecule-miRNA associations
Authors: Wang Shu-Hao , Wang Chun-Chun , Huang Li , Miao Lian-Ying , Chen Xing 
Published: November 2021

Abstract
MicroRNAs (miRNAs) play crucial roles in multiple biological processes and human diseases and can be considered as therapeutic targets of small molecules (SMs). Because biological experiments used to verify SM–miRNA associations are time-consuming and expensive, it is urgent to propose new computational models to predict new SM–miRNA associations. Here, we proposed a novel method called Dual-network Collaborative Matrix Factorization (DCMF) for predicting the potential SM–miRNA associations. Firstly, we utilized the Weighted K Nearest Known Neighbors (WKNKN) method to preprocess SM–miRNA association matrix. Then, we constructed matrix factorization model to obtain two feature matrices containing latent features of SM and miRNA, respectively. Finally, the predicted SM–miRNA association score matrix was obtained by calculating the inner product of two feature matrices. The main innovations of this method were that the use of WKNKN method can preprocess the missing values of association matrix and the introduction of dual network can integrate more diverse similarity information into DCMF. For evaluating the validity of DCMF, we implemented four different cross validations (CVs) based on two distinct datasets and two different case studies. Finally, based on dataset 1 (dataset 2), DCMF achieved Area Under receiver operating characteristic Curves (AUC) of 0.9868 (0.8770), 0.9833 (0.8836), 0.8377 (0.7591) and 0.9836 ± 0.0030 (0.8632 ± 0.0042) in global Leave-One-Out Cross Validation (LOOCV), miRNA-fixed local LOOCV, SM-fixed local LOOCV and 5-fold CV, respectively. For case studies, plenty of predicted associations have been confirmed by published experimental literature. Therefore, DCMF is an effective tool to predict potential SM–miRNA associations.
Multimodal neurocognitive markers of naturalistic discourse typify diverse neurodegenerative diseases
Authors: Birba Agustina , Fittipaldi Sol , Cediel Escobar Judith C , Gonzalez Campo Cecilia , Legaz Agustina , Galiani Agostina , Díaz Rivera Mariano N , Martorell Caro Miquel , Alifano Florencia , Piña-Escudero Stefanie D , Cardona Juan Felipe , Neely Alejandra , Forno Gonzalo , Carpinella Mariela , Slachevsky Andrea , Serrano Cecilia , Sedeño Lucas , Ibáñez Agustín , García Adolfo M 
Published: November 2021

Abstract
Neurodegeneration has multiscalar impacts, including behavioral, neuroanatomical, and neurofunctional disruptions. Can disease-differential alterations be captured across such dimensions using naturalistic stimuli? To address this question, we assessed comprehension of four naturalistic stories, highlighting action, nonaction, social, and nonsocial events, in Parkinson’s disease (PD) and behavioral variant frontotemporal dementia (bvFTD) relative to Alzheimer’s disease patients and healthy controls. Text-specific correlates were evaluated via voxel-based morphometry, spatial (fMRI), and temporal (hd-EEG) functional connectivity. PD patients presented action–text deficits related to the volume of action–observation regions, connectivity across motor-related and multimodal-semantic hubs, and frontal hd-EEG hypoconnectivity. BvFTD patients exhibited social–text deficits, associated with atrophy and spatial connectivity patterns along social-network hubs, alongside right frontotemporal hd-EEG hypoconnectivity. Alzheimer’s disease patients showed impairments in all stories, widespread atrophy and spatial connectivity patterns, and heightened occipitotemporal hd-EEG connectivity. Our framework revealed disease-specific signatures across behavioral, neuroanatomical, and neurofunctional dimensions, highlighting the sensitivity and specificity of a single naturalistic task. This investigation opens a translational agenda combining ecological approaches and multimodal cognitive neuroscience for the study of neurodegeneration.
No Way to Run a Brothel? Prostitution and Policey in the Late Medieval Holy Roman Empire
Authors: Page Jamie 
Published: November 2021

Abstract
This article addresses the relationship between civic prostitution and the concept of ‘gute Policey’ in the late fifteenth and early sixteenth centuries. It takes as its object of discussion a series of so-called Frauenhausordnungen (brothel ordinances or brothel rules) from the cities of Nuremberg, Nördlingen, Strasbourg, Constance and Ulm. Previous discussions have characterized Frauenhausordnungen from these cities as members of a coherent genre of regulations, a grouping which this article contests. By placing the creation of new brothel regulations in these cities in the larger context of the emergence of ‘gute Policey’ as a crucial category within domestic administration, the article seeks to expose civic authorities’ moral ambiguities about the role of prostitution in society, which originated well before the Reformation, often seen as the key factor in the vanishing of public prostitution from the urban landscape in the early modern era.
Piloting targeted glaucoma screening: experiences of eye care services in Ganjam district, Odisha state, India
Authors: Buttan Sandeep , Gascoyne Ben , Das Sudeep , Schmidt Elena 
Published: November 2021

Abstract

Background
The number of patients with visual impairment and blindness from glaucoma is rapidly increasing with wide-ranging impacts for individuals and societies. However, the disease often goes undiagnosed for a long time, especially in low- and middle-income countries where healthcare services are limited. This paper presents the results of a pilot programme, which integrated targeted glaucoma screenings of people aged ≥40 y in community-based eye care services in the Ganjam district of Odisha state, India.

Methods
Using routine programme data, descriptive statistics were produced for the characteristics of patients participating in the screening programme and the rate and uptake of glaucoma referrals. Bivariate analysis was used to examine associations between patient characteristics, clinical risk factors and glaucoma diagnosis.

Results
Out of 23 356 individuals aged ≥40 y screened for glaucoma over a period of 18 mo, 2219 (9.5%) were referred and 2031 presented for further examination. Among them, almost half (n=968, 48%) were diagnosed with glaucoma, representing a screening to diagnosis conversion rate of 4.14% (95% CI 3.9 to 4.4%). A positive diagnosis of glaucoma among suspects was associated with female sex, age &gt;60 y, visual impairment, vertical cap-to-disc ratio ≥0.6:1, intraocular pressure ≥30 mmHg and shallow anterior chamber (p&lt;0.001).

Conclusions
The importance of targeted screening for glaucoma using simple referral criteria to identify patients at high risk of vision loss who can benefit from treatment is critical to slow the progression of the disease and the prevention of blindness. Further studies assessing costs of the targeted screening, the role of technology in improving programme effectiveness and efficiency and the longer term compliance with treatment are needed to support glaucoma policy frameworks, guidelines and clinical practice.