bluuebunny/crossref_metadata_2025_split huggingface dataset:
Community participation form and level in the development of Geotourism in Wonocolo Village, Bojonegoro Regency
Authors: Idajati H , Calyandra A F , Nurliyana F U 
Published: December 2021

Abstract
Wonocolo Village is a village in Bojonegoro Regency with geology-based tourism potentials under development, i.e., Geopark Wonocolo, or commonly known as Teksas Wonocolo based on Bojonegoro Tourism Development Master Plan 2019-2034. Besides, this village has pokdarwis (tourism conscious group) as the tourism developer and manager in Wonocolo Village. However, under its development, several problems still exist. One of which is the constant local community participation condition because most of the community has not seen the potential. Also, the offered attractions are monotonous, e.g., it only has a tour guide and education activities in the Geopark museum. This study aimed to identify community participation forms and levels in Wonocolo Village concerning geotourism development. In determining community participation forms and levels, the qualitative descriptive analysis technique was used by involving stakeholders, which has been predetermined as respondents that consisted of governments, private sector, public sector, and the community. Based on the study results, community participation forms and levels were discovered.
Slope stability assessment and landslide vulnerability mapping of the Institut Teknologi Kalimantan area
Authors: Apriani D W , Mustofa U , Azhary M 
Published: December 2021

Abstract
Slope stability analysis was carried out in the Institut Teknologi Kalimantan which is an area with educational facilities that have a high risk of soil movement. The research area consists of slopes that often reported landslides, especially during the rains time. Evaluation is carried out to the important factors that affect slope stability such as slope geometry consist of 23 zones, soil parameters consist of 7 drilling holes, and past landslide occurrence. Slope stability was evaluated using back analysis based on soil parameters under critical conditions and field investigation and slope geometry using SLOPE/W software to obtain the safety factor (SF) of a certain slope. Landslide vulnerability maps are created based on the risk and potential landslide or landslide occurrence. Based on the results of the stability analysis, there are 6 zones with unstable conditions and a high potential for landslides and 4 zones in critical conditions with moderate landslide potential. The modeling also shows that in the same soil parameter value with a steep slope, the value of the safety factor is getting smaller. This means that the potential for soil movement is greater. Besides, the loading at the top of the slope also causes a reduced safety factor.
Modeling the effectiveness of the PSBB based on COVID-19 case in Greater Surabaya Area
Authors: Santoso E B , Siswanto V K , Umilia E , Syafitri R A W D , Desiana T A 
Published: December 2021

Abstract
East Java province with high mobility has a high case fatality rate of COVID-19. The core spread of COVID-19 is from the Greater Surabaya area following Surabaya, Sidoarjo, and Gresik districts. The East Java Government through Regulation No.18/2020 imposed a Large-Scale Social Restriction (PSBB) that is intended to support the effectiveness of the physical distancing strategy in addressing the emergency status of the COVID-19. But no official report has been found on the effectiveness of PSBB. Therefore, it is necessary to evaluate the effectiveness of PSBB, especially in Greater Surabaya. This research aims to know the model of PSBB policy to minimize the spread of COVID-19 in the greater Surabaya. The study focused on health facility (ventilator, ICU, non-ICU), population, case over a certain period, and positive case in care. This study analyzes the distribution pattern and models the effectiveness of PSBB against the spread of COVID-19 in Greater Surabaya. The data analysis used the COVID-19 Surge-CDC Model. The result of the research shows that the condition of COVID-19 cases increased significantly in the model without intervention. The sharp increase in cases is related to the anticipation of other policies related to the ability of regions to provide health facilities.
Identification of environmental conditions based on the carrying capacity and holding capacity analysis (case study: Kecamatan Barat, Magetan)
Authors: Idajati H , Umilia E , Nurliyana F U , Sianturi R 
Published: December 2021

Abstract
A rapid increase in population and unsustainable land use changes that are not following its capability are likely to lead to severe urban problems. An analysis of the carrying capacity and holding capacity of the environment is needed to determine whether lands can sustain the increasing population. The present research aims to identify the environmental conditions of the Kecamatan Barat based on the carrying capacity and holding capacity of land, water, and demography. Further, an overlay analysis is used to understand the overall carrying capacity level of the sub-district. Qualitative descriptive analysis is used to elaborate the study results. Two villages have deficits in the carrying capacity and capacity of land in West District in 2020, including Purwodadi and Tebon. Six villages are experiencing a water deficit in 2020, including Purwodadi, Karangsono, Bogorejo, Tebon, Manjung, and Mangge. All villages in Kecamatan Barat are still able to accommodate the projected population increase until 2042. The overlay of land, water, and demographic carrying capacity and water holding capacity shows 8, 4, and 2 villages with very high, high, and low overall carrying capacity values.
Development of set covering model for determining the open /closed facilities location and resizing capacity of fasilities
Authors: Linarti Utaminingsih , Fatonah Cahaya Annisa’ , Purwani Annie 
Published: December 2021

Abstract
Set Covering model determines the location of facilities that can be used that minimize the cost of assigning facilities to the point of request with the limitation that each facility was used for a number points of request. If there is an imbalance between the volume of demand points and the capacity of the facilities, it is necessary to open/closed facilities. In fact, facility location problem can extended for the decision not only open/closed but rezising area the existing facilities that can be adjusted considering the avaibility area of facilities location and demand points. This case has not been accommodated on the basic model of set covering. Not all the existing facilities can be resized. Rezising the area of facility location was assumed discrete. The aims of this study was optimized the alghorithm of set covering model. The solution this study was devided into two stages. The first stage was screening facilities that can be resized with survey location. The second stage was set covering model which the facilities will be close/opened and resize the existing facilities.
RETRACTED: Electrical and structural properties of pure and self-defected Bi1/2Na1/2TiO3 system: A DFT study
Authors: Lam Vu Tien 
Published: December 2021

Abstract
The structural and electronic properties of the rhombohedral phase of the A-site-substituted perovskite Sodium bismuth titanate Bi1/2Na1/2TiO3 (BNT) were investigated via the density functional theory (DFT) that implemented in the CASTEP module in the Materials Studio software. I also investigated the impacts of atoms vacancy and oxygen-dopants on dielectric, electrical conductivity, and ferroelectric properties. The author expected that the defected on lead-free ferroelectric materials could extend the functional materials for innovative electronic applications.
Freestanding multi-gate IZO-based neuromorphic transistors on composite electrolyte membranes
Authors: Wang Xiangjing , Zhu Li , Chen Chunsheng , Mao Huiwu , Zhu Yixin , Zhu Ying , Yang Yang , Wan Changjin , Wan Qing 
Published: December 2021

Abstract
Brain-inspired neuromorphic computing would bring a breakthrough to the classical computing paradigm through its massive parallelism and potential low power consumption advantages. Introduction of flexibility may bring vitality to this area by expanding its application areas to such as wearable and implantable electronics. At present, the development of flexible neuromorphic devices makes it a choice with wide prospect for next-generation wearable artificial neuromorphic computing. In this study, a freestanding graphene oxide/polyvinyl alcohol composite solid electrolyte membrane is utilized as the gate dielectric and support material, and indium-zinc-oxide (IZO) neuromorphic transistors are fabricated on such membrane. Based on the in-plane gate modulation, many key synaptic plasticity behaviors have been successfully emulated, including excitatory postsynaptic current, paired-pulse facilitation, high-pass filtering, and spatiotemporal signal processing. Moreover, transition of the spiking logic and the superlinear and sublinear dendritic integration function are realized. Our results indicate that these freestanding IZO-based neuromorphic transistors may of great significance for future flexible anthropomorphic robots, wearable bionic perception.
Ten-year mortality and long-term visual acuity outcomes in patients with exudative age-related macular degeneration treated with intravitreal anti-vascular endothelial growth factor injections
Authors: Young Su Ling , Anderson Martin J , Borooah Shyamanga , Armbrecht Ana-Maria , Cackett Peter D 
Published: December 2021

AbstractPurposeThere are limited real-world data on long-term mortality and visual outcomes in patients treated with anti-vascular endothelial growth factor (VEGF) for exudative age-related macular degeneration (exudative AMD). We assessed 10-year mortality and clinical outcomes in exudative AMD patients treated with intravitreal therapy (IVT) anti-VEGF injections on a pro-re-nata (PRN) regime following a standard loading regime.MethodsRetrospective cohort study of the first 216 exudative AMD patients receiving IVT anti-VEGF for exudative AMD at a public tertiary referral hospital in Scotland. Main outcome measures were mortality, cause of death and best-corrected visual acuity (BCVA).ResultsA total of 216 patients were included. Mean age at presentation was 79.1 years [standard deviation (SD) 6.9]. Mean follow-up duration was 6.6 years (SD 3.2) during which there was a mean 24.3 Early Treatment Diabetic Retinopathy Study (ETDRS) letter loss in BCVA (P &lt; 0.0001). Patients received a mean of 2.2 (SD 1.8) injections per year of follow-up. Overall, 52.6% (113/216) died during the period studied. Observed annual mortality incidence risk was 6.5% (SD 3.1) and was found to be significantly lower (P = 0.0064) than the expected annual death incidence risk (9.6%, SD 1.5) based on age and sex standardised Scottish mortality risk. The most common causes of death were malignancies (21.3%) and infection (20.0%).ConclusionsThis study highlights the relatively good long-term prognosis in vision and mortality in exudative AMD treated with a PRN regime in the real world. Although the majority lost vision, the rate of decline was significantly slower than that which would have been experienced in the pre-anti-VEGF era and reassuringly standardised mortality risk was lower than the national average.
Writing Accessible Theory in Ecology and Evolution: Insights from Cognitive Load Theory
Authors: Ou William J-A , Henriques Gil J B , Senthilnathan Athmanathan , Ke Po-Ju , Grainger Tess N , Germain Rachel M 
Published: December 2021

Abstract
Theories underpin science. In biology, theories are often formalized in the form of mathematical models, which may render them inaccessible to those lacking mathematical training. In the present article, we consider how theories could be presented to better aid understanding. We provide concrete recommendations inspired by cognitive load theory, a branch of psychology that addresses impediments to knowledge acquisition. We classify these recommendations into two classes: those that increase the links between new and existing information and those that reduce unnecessary or irrelevant complexities. For each, we provide concrete examples to illustrate the scenarios in which they apply. By enhancing a reader's familiarity with the material, these recommendations lower the mental capacity required to learn new information. Our hope is that these recommendations can provide a pathway for theoreticians to increase the accessibility of their work and for empiricists to engage with theory, strengthening the feedback between theory and experimentation.
Metabolic correlates of late midlife cognitive outcomes: findings from the 1946 British Birth Cohort
Authors: Green Rebecca , Lord Jodie , Xu Jin , Maddock Jane , Kim Min , Dobson Richard , Legido-Quigley Cristina , Wong Andrew , Richards Marcus , Proitsi Petroula 
Published: December 2021

Abstract
Investigating associations between metabolites and late midlife cognitive function could reveal potential markers and mechanisms relevant to early dementia. Here, we systematically explored the metabolic correlates of cognitive outcomes measured across the seventh decade of life, while untangling influencing life course factors. Using levels of 1019 metabolites profiled by liquid chromatography–mass spectrometry (age 60–64), we evaluated relationships between metabolites and cognitive outcomes in the British 1946 Birth Cohort (N = 1740). We additionally conducted pathway and network analyses to allow for greater insight into potential mechanisms, and sequentially adjusted for life course factors across four models, including sex and blood collection (Model 1), Model 1 + body mass index and lipid medication (Model 2), Model 2 + social factors and childhood cognition (Model 3) and Model 3 + lifestyle influences (Model 4). After adjusting for multiple tests, 155 metabolites, 10 pathways and 5 network modules were associated with cognitive outcomes. Of the 155, 35 metabolites were highly connected in their network module (termed ‘hub’ metabolites), presenting as promising marker candidates. Notably, we report relationships between a module comprised of acylcarnitines and processing speed which remained robust to life course adjustment, revealing palmitoylcarnitine (C16) as a hub (Model 4: β = −0.10, 95% confidence interval = −0.15 to −0.052, P = 5.99 × 10−5). Most associations were sensitive to adjustment for social factors and childhood cognition; in the final model, four metabolites remained after multiple testing correction, and 80 at P &lt; 0.05. Two modules demonstrated associations that were partly or largely attenuated by life course factors: one enriched in modified nucleosides and amino acids (overall attenuation = 39.2–55.5%), and another in vitamin A and C metabolites (overall attenuation = 68.6–92.6%). Our other findings, including a module enriched in sphingolipid pathways, were entirely explained by life course factors, particularly childhood cognition and education. Using a large birth cohort study with information across the life course, we highlighted potential metabolic mechanisms associated with cognitive function in late midlife, suggesting marker candidates and life course relationships for further study.
Progressive increase of high-frequency EEG oscillations during meditation is associated with its trait effects on heart rate and proteomics: a study on the Tibetan Buddhist
Authors: Guo Xiaoli , Wang Meiyun , Wang Xu , Guo Menglin , Xue Ting , Wang Zhuo , Li Han , Xu Tianjiao , He Bin , Cui Donghong , Tong Shanbao 
Published: December 2021

Abstract
Meditation has been a spiritual and healing practice in the East for thousands of years. However, the neurophysiologic mechanisms underlying its traditional form remain unclear. In this study, we recruited a large sample of monks (n = 73) who practice Tibetan Buddhist meditation and compared with meditation-naive local controls (n = 30). Their electroencephalography (EEG) and electrocardiogram signals were simultaneously recorded and blood samples were collected to investigate the integrative effects of Tibetan Buddhist on brain, heart, and proteomics. We found that the EEG activities in monks shifted to a higher frequency from resting to meditation. Meditation starts with decrease of the (pre)frontal delta activity and increase of the (pre)frontal high beta and gamma activity; while at the deep meditative state, the posterior high-frequency activity was also increased, and could be specified as a biomarker for the deep meditation. The state increase of posterior high-frequency EEG activity was significantly correlated with the trait effects on heart rate and nueropilin-1 in monks, with the source of brain–heart correlation mainly locating in the attention and emotion networks. Our study revealed that the effects of Tibetan Buddhist meditation on brain, heart, and proteomics were highly correlated, demonstrating meditation as an integrative body–mind training.
An update of proliferative glomerulonephritis with monoclonal immunoglobulin deposits
Authors: Li Manna , Xu Gaosi 
Published: December 2021

ABSTRACT
As aging increases, monoclonal gammopathy is becoming more common and monoclonal gammopathy of renal significance (MGRS) is gaining attention due to frequent renal involvement. Within MGRS, proliferative glomerulonephritis with monoclonal immunoglobulin deposits (PGNMID) is a special category. The disease was first described in 2004 and the research history on it is relatively short. Compared with other MGRS, the detection rate of circulating clones is lower in patients with PGNMID, which is easy to miss and misdiagnose in clinical work. In this review, the etiology and clinical features of PGNMID are discussed. It is noted that PGNMID is associated not only with MGRS, but also with malignancy, infection and other factors. PGNMID is not a disease exclusive to the elderly—young people can also develop this disease. Due to the low detection rate of circulating clones in most patients, confirmation of the disease needs to be combined with renal pathology, which emphasizes the importance of completing light and heavy chain subtype staining. Treatment options for patients with PGNMID differ by etiology. For MGRS-associated PGNMID, the current treatment is primarily empirical and more research evidence is needed to fill the treatment gap.
National Kidney Foundation Laboratory Engagement Working Group Recommendations for Implementing the CKD-EPI 2021 Race-Free Equations for Estimated Glomerular Filtration Rate: Practical Guidance for Clinical Laboratories
Authors: Miller W Greg , Kaufman Harvey W , Levey Andrew S , Straseski Joely A , Wilhelms Kelly W , Yu Hoi Ying (Elsie) , Klutts J Stacey , Hilborne Lee H , Horowitz Gary L , Lieske John , Ennis Jennifer L , Bowling James L , Lewis Mary Jane , Montgomery Elizabeth , Vassalotti Joseph A , Inker Lesley A 
Published: December 2021

Abstract
Recognizing that race is a social and not a biological construct, healthcare professionals and the public have called for removal of race in clinical algorithms. In response, the National Kidney Foundation and the American Society of Nephrology created the Task Force on Reassessing the Inclusion of Race in Diagnosing Kidney Diseases to examine the issue and provide recommendations. The final report from the Task Force recommends calculating estimated glomerular filtration rate (eGFR) without a race coefficient using the recently published CKD-EPI 2021 creatinine (cr) and creatinine-cystatin C (cr-cys) equations. The Task Force recommends immediately replacing older eGFRcr equations (MDRD Study and CKD-EPI 2009) with the new CKD-EPI 2021 equation. In a 2019 survey by the College of American Pathologists, 23% of 6200 laboratories reporting eGFRcr used an incorrect equation that is not suitable for use with standardized creatinine measurements, 34% used the CKD-EPI 2009 equation and 43% used the MDRD Study 2006 equation re-expressed for standardized creatinine measurement. Rapid transition to using the CKD-EPI 2021 equation is an opportunity for laboratories to standardize to a single equation to eliminate differences in eGFRcr due to different equations used by different laboratories, and to report eGFR without use of race. We provide guidance to laboratories for implementing the CKD-EPI 2021 equations for both eGFRcr and eGFRcr-cys.
Cardiac arrest as first presentation of arrhythmogenic left ventricular cardiomyopathy due to Filamin C mutation: a case report
Authors: Kandhari Navneet , Khoury Shafik , Behr Elijah R , Miles Chris 
Published: December 2021

Abstract

Background
Arrhythmogenic left ventricular cardiomyopathy (ALVC) is a rare form of arrhythmogenic cardiomyopathy characterized by fibrofatty replacement of left ventricular myocardium, malignant arrhythmia, and sudden cardiac death. The definition incorporates several genetic causes, including pathogenic variation in the Filamin C gene (FLNC). Although awareness of ALVC has improved, identification remains challenging and diagnostic criteria continue to evolve.

Case summary
A 50-year-old athletic male was admitted following an out-of-hospital cardiac arrest due to ventricular tachycardia (VT) whilst playing football. Coronary angiography revealed unobstructed epicardial vessels and the diagnosis of ALVC was suggested by cardiovascular magnetic resonance imaging, which demonstrated a mildly dilated and moderately impaired left ventricle with epicardial late gadolinium enhancement in the basal to mid-lateral walls and subendocardial septum. Initial testing with a cardiomyopathy and arrhythmia gene panel was negative but extended testing uncovered a likely pathogenic variant in FLNC. Subsequently, the patient experienced a recurrence of sustained VT necessitating implantable cardioverter-defibrillator (ICD) therapies, ultimately undergoing a combined epicardial and endocardial VT ablation 4 years after presentation. Six months post-ablation, he was asymptomatic and his arrhythmia rendered quiescent.

Discussion
Arrhythmogenic cardiomyopathy should be considered in the evaluation of an initially unexplained cardiac arrest. This case characterizes the clinical features of a patient with FLNC cardiomyopathy and emphasizes the utility of genetic testing using modern gene panels in patients with comparable phenotypes. We also demonstrate that optimal medical therapy with antiarrhythmic drugs, exercise restriction, ICD insertion, and catheter ablation can be useful in the management of ALVC with positive outcomes