bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experience and the impact of voluntourism in Samboja Lestari Orangutan Rehabilitation Center
Authors: Oktavia A C , Mardiastuti A , Rahman D A 
Published: July 2020

Abstract
Voluntourism is a type of alternative tourism that growing rapidly in recent years, mixing voluntary works and tourism activity in developing countries, including Indonesia. Borneo Orangutan Survival Foundation (BOSF), alongside with The Great Project (TGP), are organizations that have been conducting this program. The objective of the research was to understood how voluntourism program has been implemented, identify voluntourists’ perception towards the program, also how to enhance the impact of voluntourism program. Research was conducted in Samboja Lestari Orangutan Rehabilitation Center in June and July 2018 using questionnaires, interview, and field observation. Voluntourist activities were mainly prepares food and enrichment on weekdays, and tourism activity on weekends, Staffs were important part of program. Various impacts from voluntourism program were experienced by voluntourist, local staffs, BOSF, TGP, and the objects (orangutans and sunbears). Voluntourism program needs to keep focusing on raising awareness and local involvement, in order to create voluntourism as significant part of improvement of various conservation programs in Indonesia.
The Development of Community-Based Forest Management in Indonesia and Its Contribution to Community Welfare and Forest Condition
Authors: Wahyu A , Suharjito D , Darusman D , Syaufina L 
Published: July 2020

Abstract
The development of community-based forest management (CBFM) in Indonesia has gained its momentum particularly in the last five years. It is undeniable that CBFM has become a key approach for maintaining and improving forest condition and community welfare, all at once. This paper illustrated the contributions of village forest and community forest development in Indonesia to community welfare and forest condition, which were the main purposes of CBFM program. We applied meta-analysis technique to identify the impacts of CBFM development to community welfare and conducted spatial analysis to analyze the impact of CBFM to forest condition. In the period of 2007-2018, there were at least 583 permits of village forest and 745 permits of community forest that have been granted, with the total area of 1 056 752 hectares and 590 363 hectares respectively. Our findings showed that in general village forest and community forest has positive impacts on community welfare through its contribution to community income, however the amount varied within and between regions ranging from 4% to 92%. Village forest and community forest designation also have positive impacts in improving forest condition and land use optimization. Nationally, village forest and community forest have been able to restrain the rate of deforestation, utilize unproductive land and increase primary forest cover in the last four years in particular. These findings revealed that CBFM is a proven approach that provides positive impacts on both the community and forest condition.
The Characteristics of Acacia mangium Stands at Site 23 B, RPH Maribaya, BKPH Parung Panjang, KPH Bogor which is attacked by pests and diseases
Authors: Tiffani N A , Ramdan H , Dungani  
Published: July 2020

Abstract
RPH Maribaya, BKH Parung Panjang, KPH Bogor is an Industrial Forest Plantation dominated by A. mangium stands. The characteristics of A. mangium stands is done by calculating the frequency and intensity of pest and disease attacks on A. mangium stands. The method used in this research is referring to the Criteria and Score for Plant Pests / Diseases [1]. The research was conducted on 85 sample trees in 7 plots in the Plot 23b of the RPH Maribaya by Simple Random Sampling. The results of this research indicate that the highest attack frequency on A. mangium is in plot 4 is 80%, and the lowest is in plot 7 which is 0%. The highest attack intensity is found in plot 4 that is 50% and the lowest is in plot 7 which is 0%. The percentage of attack frequency ranges from 20% - 80% (low category) with an average percentage of attack frequency of 41%. The percentage of attack intensity ranged from 20% - 50% (mild category) with an average percentage of attack intensity of 23%. The pests found in A. mangium stands are sac caterpillars (Pteroma plagiophleps.), and the larva of white grub (Lepidiota stigma).
A spatial decision support system for peatland fires prediction and prevention in Bengkalis Regency, Indonesia
Authors: Maulana S I , Syaufina L , Prasetyo L B , Aidi M N 
Published: July 2020

Abstract
A Spatial decision support system (SDSS) is an integrated computer-based system that can be used to support decision makers in addressing spatial problems through iterative approaches with functionality for handling both of spatial and non-spatial databases, analytical modelling capabilities, decision making support, as well as effective data and information presentation utilities. Previously, many studies have proven that this kind of decision support system is also useful in addressing wildfires problems effectively. Considering this technological advancement, this study is primarily aimed to develop a peatland fires management system by implementing the concept of SDSS. Developed system in this study is consisting of two separate sub-system, namely prediction and prevention sub-systems, which are then integrated into one whole working scheme using loose coupling method. Overall, it can be concluded that such integrated prediction and prevention system has various advantages. Firstly, it is useful to establish rapid coordination among involved stakeholders in deciding suitable approaches to prevent peatland fires. Secondly, promoting a more pro-active fire management system that is relied on predict-and-prevent approach. Thirdly, avoiding further delay on fires prevention while minimizing error in resources allocation. Lastly, this kind of decision support system can be rapidly updated following on-going technological and field situation developments.
Classification model of air quality in Jakarta using decision tree algorithm based on air pollutant standard index
Authors: Putra F M , Sitanggang I S 
Published: July 2020

Abstract
The level of air quality is getting lower because of high levels of air pollution in big cities. Big cities in Indonesia also experience air pollution, this is caused by the increase in road users who use motorized vehicle materials, industrial development, land burning, waste accumulation so that air quality changes quite dramatically. Daily air quality needs to be accurately measured and classified. Accurate classification results will help the government in making policy. The aim is to control pollution to get air quality standards that can be useful for survival, especially in Jakarta. Air pollutants contain various components of elemental compounds such as carbon monoxide (CO), nitrogen dioxide (NO;), sulfur dioxide (SO;), particulate matter (PM, ), ozone (Os) and nitrogen monoxide (NO) This study aims to determine the parameters that affect air quality in Jakarta using the C5.0 algorithm and Random Forest based on the Air Pollution Standard Index (ISPU) category. The classification algorithms used are C5.0 and Random Forest which are categorized in the Decision Tree model. C5.0 also produces rule-based models. The accuracy of the decision tree model and the rule-based model from C5.0 and Random Forest on the dataset of 2017 is 99.74%, 99.22%, and 99.97% with 1412 training data and 389 testing data. The accuracy of the decision tree model and the rule-based model from C5.0 and Random Forest on the dataset of 2018 is 98.28%, 98.85%, and 97.42% with 1439 training data and 349 testing data. The most important variable to classify air quality is Ozone (O=) and air quality in Jakarta is dominated by the Moderate category in 2017 and 2018.
Burned area monitoring based on multiresolution and multisensor remote sensing image in Muaro Jambi, Jambi
Authors: Rahmi K I N , Ardha M , Rarasati A , Nugroho G , Mayestika P , U Catur N , Yulianto F 
Published: July 2020

Abstract
Forest and land fires are one of the disasters that occur regularly every year in the dry season. In 2019, it is estimated that the spread of forest and land fires will continue to expand due to the weak el nino potential faced by Indonesia. Monitoring burned area is important to be done quickly and accurately to find out the distribution and extent of the burned area to be followed up by relevant parties. This study aims to monitor burned area in Muaro Jambi, Jambi Province based on remote sensing imagery from optical sensors and radar sensors, namely Landsat 8, Sentinel 2, and Sentinel 1 satellite imagery. The method of identifying the burned area is based on the hotspot location and the different land cover images before and after the fire. Hotspot data used are Terra / Aqua MODIS, SNPP VIIRS, and NOAA 20 with confidence level high, medium, low while the satellite imagery used is Landsat RGB 6 5 4, Sentinel 2 RGB 11 8a 4, and Sentinel 1 RGB VV VH VV / VH. Based on this monitoring, the results of multisensor and multiresolution image show that the burned area continues to increase during the fire period from 30 July (217 Ha) - 5 August 2019 (1027 Ha).
Can x2vec save lives? Integrating graph and language embeddings for automatic mental health classification
Authors: Ruch Alexander 
Published: July 2020

Abstract
Graph and language embedding models are becoming commonplace in large scale analyses given their ability to represent complex sparse data densely in low-dimensional space. Integrating these models’ complementary relational and communicative data may be especially helpful if predicting rare events or classifying members of hidden populations—tasks requiring huge and sparse datasets for generalizable analyses. For example, due to social stigma and comorbidities, mental health support groups often form in amorphous online groups. Predicting suicidality among individuals in these settings using standard network analyses is prohibitive due to resource limits (e.g., memory), and adding auxiliary data like text to such models exacerbates complexity- and sparsity-related issues. Here, I show how merging graph and language embedding models (metapath2vec and doc2vec) avoids these limits and extracts unsupervised clustering data without domain expertise or feature engineering. Graph and language distances to a suicide support group have little correlation (ρ < 0.23), implying the two models are not embedding redundant information. When used separately to predict suicidality among individuals, graph and language data generate relatively accurate results (69% and 76%, respectively) but have moderately large false-positive (25% and 21%, respectively) and false-negative (38% and 27%, respectively) rates; however, when integrated, both data produce highly accurate predictions (90%, with 10% false-positives and 12% false-negatives). Visualizing graph embeddings annotated with predictions of potentially suicidal individuals shows the integrated model could classify such individuals even if they are positioned far from the support group. These results extend research on the importance of simultaneously analyzing behavior and language in massive networks and efforts to integrate embedding models for different kinds of data when predicting and classifying, particularly when they involve rare events.
Truthmaking, grounding and Fitch’s paradox
Authors: Trueman Robert 
Published: July 2020

AbstractJago and Loss have recently used variations on Fitch's paradox to argue that every truth has a truthmaker, and that every fact is grounded. In this paper, I show that Fitch's paradox can also be adapted to prove the exact opposite conclusions: no truth has a truthmaker, and no fact is grounded. All of these arguments are as dialectically effective as each other, and so they are all in bad company.
Dermal Onlay Grafts: A Rescue Procedure for Secondary Inferior Periorbital Hollows
Authors: Wang Yao , Douglas Raymond S , Patel Amy , Holds John , Massry Guy G 
Published: July 2020

Abstract

Background
Various procedures to efface age-related lower eyelid/cheek interface depressions, or primary periorbital hollows (POHs), have been reported in the literature. Postsurgical, or secondary, POHs are a distinct contour irregularity that have received little such attention. Dermal onlay grafts (DOGs), a site-specific term for autologous dermis fat grafts, have been used to treat secondary POHs for which less invasive measures have proved unsuccessful.

Objectives
The aim of this study was to describe the surgical technique and outcomes of DOGs for secondary POHs.

Methods
A retrospective analysis of patients who underwent DOGs for secondary POHs over a 27-month period was performed. The surgical technique and outcomes are reviewed.

Results
Thirteen patients (10 women and 3 men; average age, 52 years; average follow-up, 9 months) were included in the study. Nine patients had bilateral surgery, and all had received previous filler or fat injection, or both, with poor outcomes. Generally, surgical complications were minor, required minimal intervention, or were self-limiting. One patient had persistent infraorbital dysesthesia which improved with oral tricyclic antidepressant treatment. Eleven of 13 patients stated satisfaction with hollow effacement and outcome, a finding verified by subjective assessment by a surgeon.

Conclusions
DOGs yielded good results in this initial description of their utility as a rescue procedure to surgically address secondary POHs. Further quantitative volumetric studies to validate outcome would of value.

Level of Evidence: 4
New Mechanical Fat Separation Technique: Adjustable Regenerative Adipose-tissue Transfer (ARAT) and Mechanical Stromal Cell Transfer (MEST)
Authors: Copcu H Eray , Oztan Sule 
Published: July 2020

Abstract

Background
Adipose tissue is not only a very important source of filler but also the body’s greatest source of regenerative cells.

Objectives
In this study, adipose tissue was cut to the desired dimensions using ultra-sharp blade systems to avoid excessive blunt pressure and applied to various anatomical areas—a procedure known as adjustable regenerative adipose-tissue transfer (ARAT). Mechanical stromal cell transfer (MEST) of regenerative cells from fat tissue was also examined.

Methods
ARAT, MEST, or a combination of these was applied in the facial area of a total of 24 patients who were followed for at least 24 months. The integrity of the fat tissue cut with different diameter blades is shown histopathologically. The number and viability of the stromal cells obtained were evaluated and secretome analyses were performed. Patient and surgeon satisfaction were assessed with a visual analog scale.

Results
With the ARAT technique, the desired size fat grafts were obtained between 4000- and 200-micron diameters and applied at varying depths to different aesthetic units of the face, and a guide was developed. In MEST, stromal cells were obtained from 100 mL of condensed fat using different indication-based protocols with 93% mean viability and cell counts of 28.66 to 88.88 × 106.

Conclusions
There are 2 main complications in fat grafting: visibility in thin skin and a low retention rate. The ARAT technique can be used to prevent these 2 complications. MEST, on the other hand, obtains a high rate of fat and viable stromal cells without applying excessive blunt pressure.

Level of Evidence: 4
The Effect of New Deal Policies Revisited
Authors: Ji Yangyang 
Published: July 2020

Abstract
Eggertsson (2012, American Economic Review, 102, 524–55) finds that when the nominal interest rate hits the zero lower bound, the aggregate demand (AD) curve becomes upward-sloping and supply-side policies that reduce the natural rate of output, such as the New Deal implemented in the 1930s, are expansionary. His analysis is restricted to a conventional equilibrium where the AD curve is steeper than the aggregate supply (AS) curve. Recent research, however, demonstrates that an alternative equilibrium arises if the AD curve is flatter than the AS curve. In that case, the same policies become contractionary. In this article, I allow for both possibilities, and let data decide which equilibrium the US economy actually resided in during the Great Depression. Following the work of Blanchard and Quah (1989, American Economic Review, 79, 655–73), I find that there is a high probability that New Deal policies were contractionary. (JEL codes: E32, E52, E62, N12).
How Credible are China’s Foreign Policy Signals? IR Theory and the Debate about China’s Intentions
Authors: Yoder Brandon K 
Published: July 2020

Abstract
Scholars and policymakers currently lack systematic criteria for determining the credibility of China's foreign policy signals, which has produced widely divergent conclusions about its likely intentions. ‘China optimists’ view China’s cooperative signals as credible, while dismissing its noncooperative behaviors as unrepresentative of its broader preferences. Conversely, ‘China pessimists’ see China’s cooperative signals as non-credible misrepresentation and focus on China’s recent ‘assertive’ behavior. Drawing on theoretical scholarship on signaling and credibility in international relations, this article introduces general deductive criteria for assigning credibility to a rising state’s foreign policy signals. It then applies these criteria to evaluate the specific Chinese signals that optimists and pessimists have cited in support of their respective positions. The analysis finds that both optimists and pessimists have overlooked multiple conditions that have reduced the credibility of China’s cooperative and noncooperative foreign policy signals alike. This implies that far more uncertainty about China’s intentions is warranted than has been acknowledged on either side of the current debate.
Multichannel Ordered Contention MAC Protocol For Underwater Wireless Sensor Networks
Authors: Roy Alak , Sarma Nityananda 
Published: July 2020

Abstract
Recent advancement in hardware and the availability of bandwidth open scope for multichannel communication in underwater wireless sensor networks. Utilizing multiple channels for data and control packets in bursty traffic networks can reduce collisions due to several contending nodes. The paper presents a synchronous reservation-based multichannel ordered contention MAC protocol for deep underwater high data rate bottom monitoring applications to improve the overall network throughput. This protocol is proposed as an enhancement over ordered contention MAC (OCMAC) protocol to deal with bursty traffic by reducing transmission collisions. It does so by enabling nodes to employ multichannel technique along with the scheduling technique of OCMAC. The protocol uses separate channels for channel reservation and data transmission. The throughput performance of the network has been analyzed and validated through simulation. Simulation-based results have shown that MOC-MAC outperforms OCMAC in terms of throughput.
Multiplicity and diversity: analysing the optimal solution space of the correlation clustering problem on complete signed graphs
Authors: Arınık Nejat , Figueiredo Rosa , Labatut Vincent 
Published: July 2020

Abstract
In order to study real-world systems, many applied works model them through signed graphs, that is, graphs whose edges are labelled as either positive or negative. Such a graph is considered as structurally balanced when it can be partitioned into a number of modules, such that positive (respectively negative) edges are located inside (respectively in-between) the modules. When it is not the case, authors look for the closest partition to such balance, a problem called Correlation Clustering (CC). Due to the complexity of the CC problem, the standard approach is to find a single optimal partition and stick to it, even if other optimal or high scoring solutions possibly exist. In this work, we study the space of optimal solutions of the CC problem, on a collection of synthetic complete graphs. We show empirically that under certain conditions, there can be many optimal partitions of a signed graph. Some of these are very different and thus provide distinct perspectives on the system, as illustrated on a small real-world graph. This is an important result, as it implies that one may have to find several, if not all, optimal solutions of the CC problem, in order to properly study the considered system.
Care of the Patient With IBD Requiring Hospitalisation During the COVID-19 Pandemic
Authors: Allez Matthieu , Fleshner Phillip , Gearry Richard , Lakatos Peter L , Rubin David T 
Published: July 2020

Abstract
The management of IBD has been highly affected in the context of the COVID-19 pandemic, with restriction of hospitalisations and unprecedented redeployment of health care resources. Hospital admissions of IBD patients should be limited to reduce the risks of coronavirus transmission. However, delaying hospitalisation of IBD patients with severe or complicated disease may increase the risk of poor outcomes. Delaying surgery in some cases may increase the risk of disease progression, postoperative morbidity, and disease complications. IBD patients who are infected with SARS-CoV-2 may have a higher risk of poor outcomes than the general population, potentially related to concomitant medications, especially corticosteroids. There is no evidence today that IBD patients with COVID-19 have worse outcomes if they receive immunosuppressant medications including thiopurines, biologics, and novel small molecules. This article summarises recommendations by the international membership of IOIBD regarding hospitalisations of IBD patients, either for active or complicated IBD or for severe COVID-19, and for management of IBD patients according to SARS-CoV-2 infectious status.
Direct visualisation of drug-efflux in liveEscherichia colicells
Authors: Reuter Audrey , Virolle Chloé , Goldlust Kelly , Berne-Dedieu Annick , Nolivos Sophie , Lesterlin Christian 
Published: July 2020

ABSTRACTDrug-efflux by pump proteins is one of the major mechanisms of antibiotic resistance in bacteria. Here, we use quantitative fluorescence microscopy to investigate the real-time dynamics of drug accumulation and efflux in live E. coli cells. We visualize simultaneously the intrinsically fluorescent protein-synthesis inhibitor tetracycline (Tc) and the fluorescently labelled Tc-specific efflux pump, TetA. We show that Tc penetrates the cells within minutes and accumulates to stable intracellular concentration after ∼20 min. The final level of drug accumulation reflects the balance between Tc-uptake by the cells and Tc-efflux by pump proteins. In wild-type Tc-sensitive cells, drug accumulation is significantly limited by the activity of the multidrug efflux pump, AcrAB-TolC. Tc-resistance wild-type cells carrying a plasmid-borne Tn10 transposon contain variable amounts of TetA protein, produced under steady-state repression by the TetR repressor. TetA content heterogeneity determines the cells’ initial ability to efflux Tc. Yet, efflux remains partial until the synthesis of additional TetA pumps allows for Tc-efflux activity to surpass Tc-uptake. Cells overproducing TetA no longer accumulate Tc and become resistant to high concentrations of the drug. This work uncovers the dynamic balance between drug entry, protein-synthesis inhibition, efflux-pump production, drug-efflux activity and drug-resistance levels.