bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effectivities of anti-diabetic of Chromolaena odorata L. in lowering blood sugar level: A systematic review
Authors: Salsabila Annisa , Harfiani Erna , Nugraha Yudhi 
Published: December 2021

Abstract
Diabetes has become a significant problem that has reached an alarming level. Nowadays, almost one billion people around the world live with diabetes. In 2019, Indonesia occupied the seventh position in the world with 10,7 million people live with diabetes. Although various antihyperglycemic agents are available, diabetes is still a significant problem in the world. Siam weed (Chromolaena odorata L.) is widely used in Indonesia and traditional medicine to treat diabetes. This study aimed to determine the phytochemical content of C. odorata extract and analyze the effectiveness of the anti-diabetic of C. odorata extract in lowering blood sugar levels. The method used in this study is a systematic review with journals derived from the online databases of PubMed and Google Scholar. The journals used are journals that discuss C. odorata, extract, anti-diabetic, and blood sugar. Journal search results show, eight studies explain the potential anti-diabetic activity of C. odorata extract in lowering blood sugar levels. Data synthesis from several studies shows that C. odorata extract has potential anti-diabetic activity because it contains phytochemicals in the form of alkaloids, flavonoids, phenols, saponins, and tannins which are potent antioxidants and cytoprotectants that can lower blood sugar levels.
Larvacide effectiveness of Papaya leaf extract (Carica papaya) on the mortality of larvae vector of Dengue hemorrhagic fever caused by Aedes aegypti
Authors: Dhenge N F , Pakan P , Lidia K 
Published: December 2021

Abstract
Dengue Hemorrhagic Fever (DHF) is an infection caused by the dengue virus, which is still a public health problem in Indonesia. Chemical insecticides as larvicides used to control Aedes aegypti have created resistant populations. Thus, higher doses are needed, which, of course, have toxic effects on animals, humans, and the environment.To analyze the effectiveness of papaya leaf extract (Carica papaya) against the mortality of the third instar Aedesaegypti mosquito larvae. This study is a true experimental research design with a posttest-only control group design. In this study, the groups in this study were the larvae of the Aedes aegypti mosquito instar III/IV, papaya leaf ethanol extract, abate as a positive control group, and aquadest as a negative control.The results of the mean number of larvae deaths in each treatment group was zero (0) larvae in negative control group, positive control group (25 larvae), 5% concentration (9.5 larvae), 10% concentration (11.75 larvae), 15% concentration (12.75 larvae), a concentration of 20% (14.75 larvae), and a concentration of 25% (19.5 larvae). The results of Kruskal Wallis analysis showed that papaya leaf extract was effective as a larvicide for Aedesaegypti (p=0.001). In the probit analysis, it was found that the LC50 of the extract against Aedes aegypti was 23%, while the LC99 was 55%.Papaya leaf extract is effective as a vegetable larvicide for 3rd/IV instar Aedesaegypti larvae
Are we facing complex problems or complex solutions? A reflection on urban slum planning through the lens of complexity: A case of Indonesia
Authors: Putra Z D W 
Published: December 2021

Abstract
This study aims to reflect on urban slums planning and management through the lens of complexity theory by utilizing Indonesia as a case. This study employs a literature review to explore several problems and provide solutions as implemented in the Indonesian urban slums. The two key reflections were underlined. First, the given spatial solutions generate more complexity by its various type of programs and managements. Second, the root cause of the slums is poverty, despite unachieved by the given non-spatial solutions. This study suggests to refashion the planning approach in dealing with the slums problem to achieve SDGs particularly point 1 and 11, while adjusted to adapt with the COVID-19 situation.
Potential distribution of water in Malang city based on Multitemporal Sentinel 2A image data
Authors: Hasyim A W , Wijaya I N S , Setyono D A 
Published: December 2021

Abstract
Malang City is one of the cities in East Java with the status of a second-level city, with Surabaya City as the first-level city. Malang City also has various advantages that can attract many people outside the city to live in Malang City. As time goes by, Malang City experiences an increase in built-up land area, which is considered to be the cause of increased flooding in Malang City. This study attempted to identify the areas vulnerable to potential inundation (flooding) using several influencing variables, consisting of data on land cover, slope, land altitude, intensity of rainfall, and NDWI. This study employed the SMCE (Spatial Multi-Criteria Evaluation) method to obtain data on the distribution of potential areas for rainwater puddles (floods) in Malang City. Based on the analysis results, most of Malang City in 2019 is dominated by areas categorized as vulnerable with a percentage of 71% or an area of 7,827.21 hectares. At the same time, the remaining 29%, or an area of 3,130.10 hectares, is an area included in the safe category from potential puddles. The percentage of this vulnerable area, when compared to 2014, increased by 6%.
Digital transformation readiness: How ‘Sonjo Pangan’ movement assists SMEs’ product distributions during COVID-19 Pandemic
Authors: Choirunnisa U , Rijanta R , Rachmawati R 
Published: December 2021

AbstractCOVID-19 was initially discovered in China on December 31, 2019. One of the impacts of the COVID-19 pandemic in several countries includes the enactment of policies to restrict human activities which caused economic problems for SMEs. The government efforts to tackle this issue are various such as launched a smartphone application for SMEs.Sonjo Pangan(SonjoFood) refers to a movement initiated by a group of people expecting to help SMEs who are vulnerable to COVID-19.Sonjoassisted SMEs to sell their product online. This research aims to measure the digital readiness level ofSonjo PanganSMEs and to explore howSonjo Panganhelps SMEs during pandemic. Data had been collected by online questionnaire shared in their main media platform such as WhatsApp Group. Analysis was conducted by mix-method analysis. The result of this research indicated thatSonjo Panganassisted SMEs to distribute their product in the city, intercity, even inter-island by WA group and through a free online platform.SonjoPangan SMEs thus obtained the advantages such as improvements in technology skills and development of social capital.
The Resilience of Banjarmasin City in disaster management
Authors: Fatmawati A 
Published: December 2021

Abstract
Banjarmasin City is regarded as the capital of South Kalimantan Province, acknowledged as the high-risk area of 2 major issues, such as flood due to sea-level rise, and settlement fire. Banjarmasin is located in tidal marsh zone with elevation of 0.16m below the sea level which relatively leads to annual urban flooding. Floods occur in Banjarmasin in 2021 become one of threats to city resilience. Thus, building city resilience against the unexpected climate change is of importance to create a suistanable and livable city. This study focuses on resilient city of Banjarmasin by utilizing the two different methods of analysis, including: public and SWOT analysis. Public analysis is utilized to assess Banjarmasin City policy of manifestation of city resilience. SWOT analysis is applied to identify various factors systematically in formulating the planning strategy. The results indicated that innovation in handling disaster by the local government towards resilient city has been apparent through several programs of disaster mitigation by collaborating with private sectors or institutions, with aims: to provide maximum public services, to promote climate change awareness to all levels of society, and to handle river issues such as river normalization.
Spatial assessment of socio-economic vulnerability to climate-related disasters at the local level: Study of coastal villages in Indramayu, Indonesia
Authors: Drestalita N C , Wijaya N , Iqbal N M 
Published: December 2021

AbstractClimate change has brought ecological impacts in the coastal area, such as seawater intrusion, coastal floods, and erosion, which have caused broader effects on non-physical aspects of human activities, including the coastal economy and society. This study aims to assess the socio-economic vulnerability to climate-related disasters in the coastal villages of Indramayu, Indonesia. Secondary data were collected based on available sources. Spatial and statistical analyses were applied. This study uses ten indicators to measure the socio-economic vulnerability of 41 coastal villages. These indicators include seven socio-demographic indicators and three economic indicators. The analysis shows that ten villages (24.39%) are socially vulnerable, and five villages (4.87%) are economically vulnerable. Overall, two out of seven socio-demographic indicators have high vulnerability levels, namely disaster mitigation systems and established community groups. Two out of three economic indicators also have high degrees of vulnerability, namely the availability of economic facilities and the employment-based sector. The other indicators with medium to low degree of vulnerability are population density, the elderly population, the disabled population (socio-demographic indicators), and poverty (economic indicator). From this study, local governments and other relevant actors can prioritize climate-related disaster reduction strategies in particular sectors and locations through spatial and development plans.
Utilization of solar and wind energy to improve the quality of life for rural communities in Blora Regency – Indonesia: from triple helix to quadruple helix
Authors: Asmara A Y , Hidayat A R T , Ohgaki H , Mitsufuji T , Caballero J C 
Published: December 2021

Abstract
Studies of triple helix field indicated that involvement of academician, business, government (ABG) were leading players in bringing up invention to be innovation. In the current decade, society actor served as the new actor added in the ABG-S frame concerning to the sustainability issue of innovation. This study aimed to present the role of the concerned actors in proposing an innovative product of a combined solar and wind energy generator installed in rural areas of Blora Regency. Blora was one of the regions in the Central Java Province that utilized electrical energy sourced from non-fossil. A Qualitative research method was utilized in this study to disclose the involvement of each actor in Blora’s case. The study reported that ABG-S actors’ involvement in implementing a combined solar and wind energy generator to the villages.
France’s Role in the Holocaust Revisited: Marrus and Paxton’s Vichy France and the Jews
Authors: Torrie Julia S. 
Published: December 2021

Abstract
This reappraisal examines the second edition of Michael R. Marrus and Robert O. Paxton’s study of the persecution of Jews in France, Vichy France and the Jews, which first appeared in French and English in 1981. It comments on the reception of the first edition, evaluates the second edition in light of the historiography of the intervening years, and suggests directions for future research.
A harder dilemma for partial subjunctive supposition
Authors: Nielsen Michael 
Published: December 2021

Abstract
This article strengthens a dilemma posed by Eva and Hartmann (2021). They show that accounts of partial subjunctive supposition based on imaging sometimes violate a natural monotonicity condition. The paper develops a more general framework for modelling partial supposition and shows that, in this framework, imaging-based accounts of partial subjunctive supposition always violate monotonicity. In fact, the only account of partial supposition that satisfies monotonicity is the one that Eva and Hartmann defend for indicative suppositions. Insofar as one is committed to monotonicity, then, one cannot distinguish the indicative and subjunctive moods for partial supposition. One might avoid this result by rejecting the general framework that it relies upon, but that itself would be a surprising and interesting outcome.
Developing the multilingual agenda in EMI higher educational institutions
Authors: Preece Siân 
Published: December 2021

Abstract
Universities in English medium instruction (EMI) settings are generally reticent about the linguistic diversity of their student body. Very often, a monolingual mindset dominates institutional thinking that casts linguistic diversity as obstacle rather than asset for the EMI curriculum. This has given rise to deficit models of English language provision in which language tutors are viewed as offering language support and ‘fixing’ language problems. It is timely to address these anachronistic views. In this paper, I do so by making the case for the multilingual agenda in EMI higher educational institutions. From a plurilingual perspective, I examine three narratives for developing the multilingual agenda: (1) ‘the institution as anglophone and multilingual’; (2) ‘students as plurilingual speakers’; and (3) ‘EMI curriculum and pedagogy informed by language-as-resource’. I argue that the significance of these narratives lies in treating them as interrelated and demonstrating their salience for enacting wider higher education agendas at the institutional level.
Flomoxef for neonates: extending options for treatment of neonatal sepsis caused by ESBL-producing Enterobacterales
Authors: Darlow Christopher A , Hope William 
Published: December 2021

Abstract

Background
Neonatal sepsis is a serious and frequently lethal infection, often complicated by antimicrobial resistance (including ESBLs) in low- and middle-income countries (LMICs). Flomoxef is an off-patent oxacephem β-lactam with stability against non-AmpC ESBLs, with potential for utility in these settings. To date, there has been no published flomoxef neonatal population pharmacokinetic (PopPK) model.

Objectives
To summarize the clinical data available for flomoxef, build a neonatal PopPK model and assess the adequacy of different neonatal flomoxef regimens.

Methods
A systematic literature search returned all available clinical or pharmacokinetic data of flomoxef use in neonates. Pharmacokinetic data were used to construct a PopPK model, with progressive incorporation of covariates into the final model. Monte Carlo simulations were performed using this final model to simulate drug exposures of different flomoxef regimens to calculate PTAs.

Results
Individual-level clinical and pharmacokinetic data were extracted for 313 and 146 neonates, respectively, with population clinical data extracted for a further 199 neonates. Clinical and microbiological success rates were 89.71% and 82.8%, respectively, with minimal side effects. The final PopPK model incorporated body weight and postnatal age as covariates. PTA analyses predicted that IV regimens of 20 mg/kg q12h, 20 mg/kg q6–8h and 40 mg/kg q6–8h are adequate for neonates aged 0–7, 7–14 and 14–28 days, respectively.

Conclusions
To the best of our knowledge, this is the first published neonatal PopPK model for flomoxef. Given the high treatment success rates, low toxicity rates and off-patent status, this drug has potential for use in the treatment of neonatal sepsis in ESBL-prevalent LMIC settings.
Mental Health Outcomes Among Parents of Children With a Chronic Disease During the COVID-19 Pandemic: The Role of Parental Burn-Out
Authors: Wauters Aline , Vervoort Tine , Dhondt Karlien , Soenens Bart , Vansteenkiste Maarten , Morbée Sofie , Waterschoot Joachim , Haerynck Filomeen , Vandekerckhove Kristof , Verhelst Helene , Van Aken Sara , Raes Ann , Schelstraete Petra , Walle Johan Vande , Van Hoecke Eline 
Published: December 2021

Abstract

Objective
The COVID-19 pandemic and associated quarantine measures highly impacted parental psychological well-being. Parents of children with chronic diseases might be specifically vulnerable as they already face multiple challenges to provide adequate care for their child. The research questions of the current study were twofold: (a) to examine whether parents of children with a chronic disease experienced more anxiety and depression compared to parents of healthy children and (b) to examine a series of risk factors for worsened well-being (i.e., depression, anxiety, and sleep problems), such as sociodemographic variables, COVID-19-specific variables (i.e., financial worries, living space, and perceived quality of health care), and parental psychological experiences (i.e., parental burn-out and less positive parenting experiences).

Methods
Parents of children with a chronic disease (i.e., the clinical sample; N = 599 and 507 for Research Questions 1 and 2, respectively) and parents of healthy children (i.e., the reference sample: N = 417) filled out an online survey.

Results
Findings demonstrated that the parents in the clinical sample reported higher levels of anxiety than parents in the reference sample. Analyses within the clinical sample indicated that COVID-19-specific stressors and parental psychological experiences were associated with higher levels of anxiety, depression, and sleep problems. Mediation analyses furthermore indicated that the association of COVID-19-specific stressors with all outcome measures was mediated by parental burn-out.

Conclusions
Parents of children with a chronic disease constitute a vulnerable group for worse well-being during the current pandemic. Findings suggest interventions directly targeting parental burn-out are warranted.
A new method to detect globular clusters with the S-PLUS survey
Authors: Buzzo Maria Luisa , Cortesi Arianna , Forbes Duncan A , Brodie Jean P , Couch Warrick J , Eduardo Barbosa Carlos , de Brito Silva Danielle , Coelho Paula , Chies-Santos Ana L , Escudero Carlos , Sesto Leandro , Menéndez-Delmestre Karín , Gonçalves Thiago S , Bom Clécio R , Alvarez-Candal Alvaro , Smith Castelli Analía V , Schoenell William , Kanaan Antonio , Ribeiro Tiago , Mendes de Oliveira Claudia 
Published: December 2021

ABSTRACT
In this paper, we describe a new method to select globular cluster (GC) candidates, including galaxy subtraction with unsharp masking, template fitting techniques, and the inclusion of Gaia’s proper motions. We report the use of the 12-band photometric system used by S-PLUS to determine radial velocities and stellar populations of GCs around nearby galaxies. Specifically, we assess the effectiveness of identifying GCs around nearby and massive galaxies (D &lt; 20 Mpc and σ &gt; 200 km s-1) in a multiband survey such as S-PLUS by using spectroscopically confirmed GCs and literature GC candidate lists around the bright central galaxy in the Fornax cluster, NGC 1399 (D = 19 Mpc), and the isolated lenticular galaxy NGC 3115 (D = 9.4 Mpc). Despite the shallow survey depth, which limits this work to r &lt; 21.3 mag, we measure reliable photometry and perform robust SED fitting for a sample of 115 GCs around NGC 1399 and 42 GCs around NGC 3115, recovering radial velocities, ages, and metallicities for the GC populations.
PGNets: planet mass prediction using convolutional neural networks for radio continuum observations of protoplanetary discs
Authors: Zhang Shangjia , Zhu Zhaohuan , Kang Mingon 
Published: December 2021

ABSTRACT
We developed convolutional neural networks (CNNs) to rapidly and directly infer the planet mass from radio dust continuum images. Substructures induced by young planets in protoplanetary discs can be used to infer the potential young planets’ properties. Hydrodynamical simulations have been used to study the relationships between the planet’s properties and these disc features. However, these attempts either fine-tuned numerical simulations to fit one protoplanetary disc at a time, which was time consuming, or azimuthally averaged simulation results to derive some linear relationships between the gap width/depth and the planet mass, which lost information on asymmetric features in discs. To cope with these disadvantages, we developed Planet Gap neural Networks (PGNets) to infer the planet mass from two-dimensional images. We first fit the gridded data in Zhang et al. as a classification problem. Then, we quadrupled the data set by running additional simulations with near-randomly sampled parameters, and derived the planet mass and disc viscosity together as a regression problem. The classification approach can reach an accuracy of 92 per cent, whereas the regression approach can reach 1σ as 0.16 dex for planet mass and 0.23 dex for disc viscosity. We can reproduce the degeneracy scaling α ∝ $M_\mathrm{ p}^3$ found in the linear fitting method, which means that the CNN method can even be used to find degeneracy relationship. The gradient-weighted class activation mapping effectively confirms that PGNets use proper disc features to constrain the planet mass. We provide programs for PGNets and the traditional fitting method from Zhang et al., and discuss each method’s advantages and disadvantages.
ATLASGAL – evolutionary trends in high-mass star formation
Authors: Urquhart J S , Wells M R A , Pillai T , Leurini S , Giannetti A , Moore T J T , Thompson M A , Figura C , Colombo D , Yang A Y , König C , Wyrowski F , Menten K M , Rigby A J , Eden D J , Ragan S E 
Published: December 2021

ABSTRACT
ATLASGAL is an 870-µm dust survey of 420 deg2 the inner Galactic plane and has been used to identify ∼10 000 dense molecular clumps. Dedicated follow-up observations and complementary surveys are used to characterize the physical properties of these clumps, map their Galactic distribution, and investigate the evolutionary sequence for high-mass star formation. The analysis of the ATLASGAL data is ongoing: We present an up-to-date version of the catalogue. We have classified 5007 clumps into four evolutionary stages (quiescent, protostellar, young stellar objects and H ii regions) and find similar numbers of clumps in each stage, suggesting a similar lifetime. The luminosity-to-mass (Lbol/Mfwhm) ratio curve shows a smooth distribution with no significant kinks or discontinuities when compared to the mean values for evolutionary stages indicating that the star formation process is continuous and that the observational stages do not represent fundamentally different stages or changes in the physical mechanisms involved. We compare the evolutionary sample with other star formation tracers (methanol and water masers, extended green objects and molecular outflows) and find that the association rates with these increases as a function of evolutionary stage, confirming that our classification is reliable. This also reveals a high association rate between quiescent sources and molecular outflows, revealing that outflows are the earliest indication that star formation has begun and that star formation is already ongoing in many of the clumps that are dark even at 70 µm.