bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of land use on the number of coliform bacteria in boyong river, sleman
Authors: Puspitasari N N A , Hadi M P 
Published: November 2022

Abstract
Watershed management is important, especially to water management. River water pollution in the upstream has an impact on the water quality in the midstream and downstream. Boyong River is an upstream part of Code Watershed which has three dominant land uses. Land use activities in the Boyong River cause faecal pollution from animals or humans waste in river bodies. This can cause the presence of coliform bacteria in rivers, both Total Coliform (TC) and Fecal Coliform (FC). This study aims to determine the effect of land use on the number of TC and FC in the Boyong River. The study focused on three dominant land uses, mixed-use gardens, irrigated fields, and settlements. Sampling was carried out during the dry season and rainy season, using a purposive sampling method. Based on laboratory tests with the Most Probable Number (MPN) method, the number of TC ranged from <1,8 – 350.000 MPN/100mL and the number of FC ranged from <1,8 – 79.000 MPN/100mL. Third land use contributes to river pollution. Settlements have the highest number of TC and FC changing. During the rainy season, the number of TC and FC tends to be higher than during the dry season. Almost all sample points exceed the Boyong River allotment quality standard.
Household livelihood strategies of inhabitant traditional javanese house in brayut tourist village
Authors: Setiadi D O R , Baiquni M 
Published: November 2022

Abstract
The traditional house as a tourist attraction in Brayut Tourism Village is an assest need of great treatment. This study tries to describe the livelihood condition of household in traditional Javanese house in Brayut Tourist Village and identify the household livelihood strategy in traditional Javanese house in Brayut Tourist Village. Combination quantitative and qualitative methods with sequential explanatory model are used with census techniques. Assets in households participate in the tourist village activities show human capital having the highest score. Physical capital like electronic, transportation, and household furnishings is the highest capital the household not participate in the tourist village activities. Households capable of inhabiting of Javanese traditional house is divided into two categories that is households that have only able to survive the occupies a house, consist of survival and passive income strategies. And households that have high capabilities and capital. This category consist of a intensification consolidation, diversification consolidation, and accumulation strategies.
Suitability of seaweed cultivation areas on serangan island, denpasar city, bali
Authors: Nabila V C , Damayanti A , Dimyati M 
Published: November 2022

Abstract
Seaweed cultivation is an alternative used in coastal areas. It is necessary to increase seaweed production because of the high carrying capacity and potential seaweed cultivation areas. The seaweed cultivation on Serangan Island continues to be pressured by the development of tourism and human activities. This study aims to analyze the suitability of the seaweed cultivation area in Serangan Island. The variables used in this study are water conditions such as sea surface temperature, salinity, total suspended solids, and dissolved oxygen—the data obtained through processing Landsat 8 imagery in January and May 2020. The method used is scoring and overlaying all variables, which are then analyzed spatially. The results showed a suitable area covering 616 Ha dominantly and the appropriate regions for 1,52 Ha, located in several parts of the northern and southern waters of Serangan Island in the rainy season. Whereas in the dry season, suitable areas are covering 223 Ha located in 31 grids in the northern, eastern, southern, and southwestern parts of Serangan Island, quite ideal for 392 Ha in 72 grids dominantly and unsuitable for 2,52 Ha located in part east and west grid of Serangan Island waters.
Governing the urban water challenges of surakarta
Authors: Rahayu P , Rini Erma Fitria , Wardhani Jayanti Kusuma 
Published: November 2022

Abstract
Urban water is one of the most important natural resources to support urban growth. However, conflicting interests from different sectoral needs interfere with its management as the demand for water increases as a result of rapid urbanization. This paper compares the theory and practice of urban water governance, particularly the extent to which the concept of urban water governance can be implemented in Surakarta, Indonesia. The paper also provides lessons for practitioners. This study applies a qualitative single case study method using in-depth interviews with eight key players from eight institutions related to urban water governance. The respondents represent the local Planning Agency, Public Works Agency, Local Water Utility, Environmental Agency, Disaster Mitigation Agency, Housing Agency, the Regional Water Cooperation Body, and the Provincial Water Resources Management Agency. Surakarta is a rapidly growing medium-sized city that faces the challenge of urban clean water provision. The results indicate that although to a certain extent a gap between theory and practice exists, all the interviewed stakeholders have realized and have started initiating collaborations in urban water management. The most important point forward is to establish an effective regular platform for more solid collaboration to attain integrated urban water governance for Surakarta.
Criteria for the Protected Area Management Category Framework in Peninsular Malaysia for Sustainable Conservation Planning
Authors: Hashim Zakaria , Abdullah Saiful Arif 
Published: November 2022

Abstract
The categories of protected area management are essential tools for ensuring the agenda of conserving biodiversity is achieved. Almost all countries in the world have established the management categories intending to provide the guidelines to manage the conservation site. Peninsular Malaysia is not exceptional and the management categories are following the International Union for Conservation of Nature (IUCN). It has been implemented since 1996 specifically for all protected areas managed by the Department of Wildlife and National Parks (DWNP). However, the implementation is done without using any criteria and sub-criteria in assigning the management category to each protected area. Therefore, the objective of this article is to highlight the criteria and sub-criteria that need to be considered in the management category framework of protected areas in Peninsular Malaysia. All criteria/sub-criteria were identified through a literature review, followed by filtering, integration and expert validation. A total of 46 sub-criteria were identified and can be categorized into 5 criteria: general, environmental, social, economic and management. For sustainable conservation planning all the identified criteria and sub-criteria are essential for determining the management categories of protected areas in Peninsular Malaysia.
Adaptation and application of low impact urban design and development (LIUDD) in Resistencia, Argentina
Authors: Prayogi L , Yandri S , Schneider V 
Published: November 2022

Abstract
Low impact urban design and development (LIUDD) emerged as an approach promoting urban development while reducing its negative impact on the natural environment, especially on the natural hydrology cycle. While the object being concerned (i.e., the natural hydrology cycle) is universal, the processes and steps taken for reducing urban development negative impact on it as promoted by LIUDD are supposedly contextualized to the place where LIUDD is conceived, that is New Zealand. This article explores the adaptation and application of LIUDD done jointly by Argentinian and Indonesian landscape architecture students when intervening a naturally flooded area and designing a flood park in Resistencia, Chaco, Argentina. This article was written through a qualitative and descriptive research. The design process and outcomes were analysed using the LIUDD process and design principles as the framework. It is found that designing properly following the LIUDD process requires extensive data on the natural environment that are not always easily available for the Resistencia context. However, the LIUDD design principles are rather universal and can be adapted to the Resistencia context.
Analysis of Potential Objects for Ecotourism Development Based on Landscape Character in the Gunung Pongkor Post-Mining Area Through Expert Judgement
Authors: Kusumoarto A , Gunawan A , Machfud  , Hikmat A 
Published: November 2022

Abstract
The Gunung Pongkor post-mining area has several objects that have the potential as ecotourism objects such as natural phenomena, flora and fauna, as well as tailings and mine buildings that will be abandoned and have the potential as heritage buildings. The study aims to identify and analysis the potential of these objects for ecotourism development based on landscape character through expert judgement. This study used a qualitative descriptive method through assessment surveys and interviews. The stages in this research are: 1) identification of ecotourism objects and 2) analysis of potential ecotourism objects. The uniqueness of potential natural phenomena is the most important variable compared to its beauty and scarcity. The existence of areas where there are almost extinct, vulnerable, and critical flora and fauna is the most important assessment variable and must be protected. The scarcity of heritage buildings is the most important variable compared to their uniqueness and beauty. The potential variable is compared to the value of the weight of its importance as something that must be a concern for protecting ecotourism objects and developing ecotourism destination area. The protection carried out is to protect the character of the landscape where the unique natural phenomena are located, protect the habitat and types of flora and fauna from extinction and protect the scarcity of heritage buildings from destruction.
Perspectives on the orbital angular momentum of light
Authors: Forbes Andrew 
Published: November 2022

Abstract
Orbital angular momentum (OAM) has been known and understood in mechanical systems for centuries, but far less venerable in optical systems. It was only 30 years ago that OAM was directly associated with the spatial structure of light, specifically its phase structure, allowing OAM carrying light to be routinely created in optical laboratories. The explosion in activity since then has been startling, with OAM finding applications in microscopy, imaging, metrology and sensing, optical trapping and tweezing, communication and quantum science. Many of these advances have been reported in this very journal, and so it is fitting that the Journal of Optics should have a special issue dedicated to the topic, celebrating 30 years of advances with a collection that includes original work, reviews and tutorials, covering the past, present while pointing to an exciting future.
Optimized architectures for universal quantum state transformations using photonic path and polarization
Authors: Chen Dong-Xu , Jia Junliang , Zhang Pei , Yang Chui-Ping 
Published: November 2022

Abstract
An arbitrary lossless transformation in high-dimensional (HD) quantum space can be decomposed into elementary operations which are easy to implement, and an effective decomposition algorithm is important for constructing HD systems. Here, we present two optimized architectures to effectively realize an arbitrary unitary transformation by using the photonic path and polarization based on the existing decomposition algorithm. In the first architecture, the number of required interferometers is reduced by half compared with previous works. In the second architecture, by using the HD X gate, all the elementary operations are transferred to the operations which act locally on the photonic polarization in the same path. Such an architecture could be of significance in polarization-based applications. Both architectures maintain the symmetric layout. Our work facilitates the optical implementation of HD transformations and could have potential applications in HD quantum computation and quantum communication.
Tidal influence on dissolved CO2 at Sapelo Island, Georgia, USA
Authors: Turner Jess , Desai Ankur R , Blackstock Joshua M , Smith Dontrece 
Published: November 2022

Abstract
Measuring carbon (C) loss through different pathways is essential for understanding the net ecosystem exchange of carbon dioxide (CO2) in tidal wetlands, especially in a reality where wetland mitigation and protecting coastlines from rapid sea-level rise is a growing priority. Tracking C loss can help reveal where an ecosystem is storing the most C, but it can also help scientists understand near- and long-term impacts of wetland restoration on climate. A recently developed partial pressure of dissolved CO2 platform was tested in a subtropical salt marsh with an apparatus that raised and lowered sensor housing with the tide. Additional low-cost water quality sensors were installed nearby for measuring turbidity and salinity. Here, we evaluated how well this floating sensor platform along with 28 d of biogeochemical data from a tidal salt marsh could detect C import and export from tidal effects. This work provides a pathway to low-cost, routine in-situ C exchange measurements which serve the needs of environmental managers, researchers, and others interested in better estimating wetland C storage and transport.
Performance of Existing and Novel Symptom- and Antigen Testing–Based COVID-19 Case Definitions in a Community Setting
Authors: Lee Scott , Almendares Olivia , Prince-Guerra Jessica , Anderson Mark , Heilig Charles M , Tate Jacqueline E , Kirking Hannah L 
Published: November 2022

AbstractPoint-of-care antigen tests are an important tool for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection, yet are less clinically sensitive than real-time reverse-transcription polymerase chain reaction (RT-PCR), affecting their efficacy as screening procedures. Our goal in this analysis was to see whether we could improve this sensitivity by considering antigen test results in combination with other relevant information, namely exposure status and reported symptoms. In November 2020, we collected 3,419 paired upper respiratory specimens tested by RT-PCR and the Abbott BinaxNOW (Abbott Laboratories, Abbott Park, Illinois) antigen test at 2 community testing sites in Pima County, Arizona. We used symptom, exposure, and antigen-testing data to evaluate the sensitivity and specificity of various symptom definitions in predicting RT-PCR positivity. Our analysis yielded 6 novel multisymptom case definitions with and without antigen test results, the best of which overall achieved a Youden’s J index of 0.66, as compared with 0.53 for antigen testing alone. Using a random forest as a guide, we show that this definition, along with our others, does not lose the ability to generalize well to new data despite achieving optimal performance in our sample. Our methodology is broadly applicable, and our code is publicly available to aid public health practitioners in developing or fine-tuning their own case definitions.
Biological network topology features predict gene dependencies in cancer cell-lines
Authors: Benstead-Hume Graeme , Wooller Sarah K , Renaut Joanna , Dias Samantha , Woodbine Lisa , Carr Antony M , Pearl Frances M G 
Published: November 2022

Abstract

Motivation
Protein–protein interaction (PPI) networks have been shown to successfully predict essential proteins. However, such networks are derived generically from experiments on many thousands of different cells. Consequently, conventional PPI networks cannot capture the variation of genetic dependencies that exists across different cell types, let alone those that emerge as a result of the massive cell restructuring that occurs during carcinogenesis. Predicting cell-specific dependencies is of considerable therapeutic benefit, facilitating the use of drugs to inhibit those proteins on which the cancer cells have become specifically dependent. In order to go beyond the limitations of the generic PPI, we have attempted to personalise PPI networks to reflect cell-specific patterns of gene expression and mutation. By using 12 topological features of the resulting PPIs, together with matched gene dependency data from DepMap, we trained random-forest classifiers (DependANT) to predict novel gene dependencies.

Results
We found that DependANT improves the power of the baseline generic PPI models in predicting common gene dependencies, by up to 10.8% and is more sensitive than the baseline generic model when predicting genes on which only a small number of cell types are dependent.

Availability and implementation
Software available at https://bitbucket.org/bioinformatics_lab_sussex/dependant2

Supplementary information
Supplementary data are available at Bioinformatics Advances online.
An ensemble prediction model for COVID-19 mortality risk
Authors: Li Jie , Li Xin , Hutchinson John , Asad Mohammad , Liu Yinghui , Wang Yadong , Wang Edwin 
Published: November 2022

Abstract

Background
It’s critical to identify COVID-19 patients with a higher death risk at early stage to give them better hospitalization or intensive care. However, thus far, none of the machine learning models has been shown to be successful in an independent cohort. We aim to develop a machine learning model which could accurately predict death risk of COVID-19 patients at an early stage in other independent cohorts.

Methods
We used a cohort containing 4711 patients whose clinical features associated with patient physiological conditions or lab test data associated with inflammation, hepatorenal function, cardiovascular function, and so on to identify key features. To do so, we first developed a novel data preprocessing approach to clean up clinical features and then developed an ensemble machine learning method to identify key features.

Results
Finally, we identified 14 key clinical features whose combination reached a good predictive performance of area under the receiver operating characteristic curve 0.907. Most importantly, we successfully validated these key features in a large independent cohort containing 15 790 patients.

Conclusions
Our study shows that 14 key features are robust and useful in predicting the risk of death in patients confirmed SARS-CoV-2 infection at an early stage, and potentially useful in clinical settings to help in making clinical decisions.
Unveiling Whiteness within organisations working with people of refugee background
Authors: Vincent Kate 
Published: November 2022

Abstract
This article explores how Australian social workers who work with people resettling interpret Whiteness operating within organisational practices and contexts. Eight White Tasmanian social workers participated in a multimethod qualitative study informed by relationality and a dialogical framework. The research data were analysed using narrative analysis. Participants reported that Whiteness operated through workplace climate, culture and practices, and how physical spaces are constructed. Whilst the majority reported feeling discomfort about these contexts and practices, many had not spoken up or challenged Whiteness within organisations, affirming and perpetuating Whiteness. This research highlights the importance of social workers becoming actively involved in decision-making that explores alternatives to dominant approaches to refugee resettlement. Given the research suggests that knowing about Whiteness does not guarantee action, social workers also need to explore strategies for ensuring that they speak up to challenge Whiteness. However, service delivery models which are refugee-led and/or refugee-staffed organisations, or who utilise accountability practices are alternatives requiring more attention.
Association Between the Development of Subclinical Cardiovascular Disease and Human Immunodeficiency Virus (HIV) Reservoir Markers in People With HIV on Suppressive Antiretroviral Therapy
Authors: Turcotte Isabelle , El-Far Mohamed , Sadouni Manel , Chartrand-Lefebvre Carl , Filali-Mouhim Ali , Fromentin Rémi , Chamberland Annie , Jenabian Mohammad-Ali , Baril Jean-Guy , Trottier Benoit , Thomas Réjean , Tremblay Cécile L , Durand Madeleine , Chomont Nicolas ,   the Canadian HIV and Aging Cohort Study
Published: November 2022

Abstract
We report that people with human immunodeficiency virus (HIV) diagnosed with coronary artery atherosclerotic plaques display higher levels of HIV DNA compared with those without atherosclerotic plaques. In a multivariable prediction model that included 27 traditional and HIV-related risk factors, measures of HIV DNA were among the most important predictors of atherosclerotic plaque formation.
RSCOEWR: Radical-Based Sentiment Classification of Online Education Website Reviews
Authors: Li Jie , Sun GuoYing 
Published: November 2022

AbstractOnline education is becoming more and more popular with the development of the Internet. In particular, due to the COVID-19 pandemic, many countries around the world are increasing the popularity of online education, which makes the research on sentiment classification of course reviews of online education websites an important research direction in natural language processing tasks. Traditional sentiment classification models are mostly based on English. Unlike English, Chinese characters are based on pictograms. Radicals of Chinese characters can also express certain semantics, and characters with the same radical often have similar meanings. Therefore, RSCOEWR, a word-level and radical-level based sentiment classification model for course reviews of Chinese online education websites is proposed, which solves the problem of data sparsity of reviews by feature extraction of multiple dimensions. In addition, a deep learning model based on CNN, BILSTM, BIGRU and Attention is constructed to solve the problem of high dimension and assigning the same attention to context of traditional sentiment classification model. Extensive comparative experiment results show that RSCOEWR outperforms the state-of-the-art sentiment classification models, and the experimental results on public Chinese sentiment classification datasets prove the generalization ability of RSCOEWR.