bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on high‐precision synchronous output technology of multi‐reference source weighted synthesis in power system
Authors: Teng Ling , Dong Fangyun , Zhang Hui , Ding Huixia
Published: May 2023

The massive perception data based on efficient analysis and intelligent decision have put forward higher requirements for high‐precision time synchronisation with the construction and development of smart power grid. However, multi‐reference source time‐frequency synchronisation of power system only selects the best method after comparison, which cannot make the most efficient use of the existing resources. It also cannot meet the need for high‐precision time synchronisation of future power system. The existing multi‐reference source synthesis algorithms cannot take into account both long‐term stability and high‐precision synchronous output. This article presents a multi‐reference source weighted improved noise model and the high‐precision output method. The multi‐reference source error after classification is eliminated by leading into classification vector and classification coefficient. The synthesised frequency offset or the time precision of output can be optimised as the objective function by weighted classification algorithm and genetic algorithm. A simulation example based on the synthesis of two satellite system clock sources and three local caesium reference sources shows that the peak value of long‐term output accuracy is controlled within 10 ns after classification weighted synthesis and optimisation, which is better than that of any single reference source.
Method for acquisition of orthotropic material parameters and calculation of modal frequencies in permanent magnet synchronous motor
Authors: Li Daolu , Xie Ying , Cai Wei , Zhang Fang
Published: May 2023

This article presents a novel method for fastly obtaining orthotropic material parameters in permanent magnet synchronous motor. First, a theoretical model of the equivalent single cylindrical shell is introduced with three orthotropic material parameters by considering the orthotropic characteristics of the motor. Then, the relationship of three orthotropic material parameters and the axial mode order m, the radial mode order n and modal frequency f is established. On this basis, an analytical method with m = 0 is proposed to acquire three values, and its adaptability is pointed out. Meanwhile, based on the above obtained orthotropic material parameters, the calculation method of modal frequencies is presented. Finally, the modal test and finite‐element method are implemented to verify the rationality of the proposed method.
Fault diagnosis of photovoltaic strings by using machine learning‐based stacking classifier
Authors: Liu Bo , Sun Kai , Wang Xiaoyu , Zhao Jian , Hou Xiaochao
Published: May 2023

Photovoltaic (PV) modules are prone to short circuits, open circuits, cracks, which can bring serious harmful effects. It is difficult to establish the corresponding PV fault models to diagnose the status of PV strings. The paper proposes a machine learning‐based stacking classifier (MLSC) for accurate fault diagnosis of PV strings. Specifically, for the operating state of PV modules, the parameter sensitivity algorithm is used to analyze the impact of characteristic factors on the characteristics of PV modules. Then based on the characteristic factors (irradiance, temperature, current, and power), MLSC is proposed to realize the accurate fault diagnosis of PV strings. This structure of MLSC is to integrate all kinds of classifiers by stacking to play the characteristics of each classifier. It combines the characteristics of various types of machine learning algorithms to improve the overall classification effect by using the advantages of each classifier. Finally, experiments reveal that MLSC improves the accuracy of PV fault diagnosis.
Effect of the initial mass function on the dynamical SMBH mass estimate in the nucleated early-type galaxy FCC 47
Authors: Thater Sabine , Lyubenova Mariya , Fahrion Katja , Martín-Navarro Ignacio , Jethwa Prashin , Nguyen Dieu D. , van de Ven Glenn
Published: May 2023

Supermassive black holes (SMBHs) and nuclear star clusters (NSCs) co-exist in many galaxies. While the formation history of the black hole is essentially lost, NSCs preserve their evolutionary history imprinted onto their stellar populations and kinematics. Studying SMBHs and NSCs in tandem might help us to ultimately reveal the build-up of galaxy centres. In this study, we combine large-scale VLT/MUSE and high-resolution adaptive-optics-assisted VLT/SINFONI observations of the early-type galaxy FCC 47 with the goal being to assess the effect of a spatially (non-)variable initial mass function (IMF) on the determination of the mass of the putative SMBH in this galaxy. We achieve this by performing DYNAMITE Schwarzschild orbit-superposition modelling of the galaxy and its NSC. In order to properly take account of the stellar mass contribution to the galaxy potential, we create mass maps using a varying stellar mass-to-light ratio derived from single stellar population models with fixed and with spatially varying IMFs. Using the two mass maps, we estimate black hole masses of (7.1−1.1+0.8) × 107 M⊙ and (4.4−2.1+1.2) × 107 M⊙ at 3σ signifance, respectively. Compared to models with constant stellar-mass-to-light ratio, the black hole masses decrease by 15% and 48%, respectively. Therefore, a varying IMF, both in its functional form and spatially across the galaxy, has a non-negligible effect on the SMBH mass estimate. Furthermore, we find that the SMBH in FCC 47 has probably not grown over-massive compared to its very over-massive NSC.
Swirls in the solar corona
Authors: Breu C. , Peter H. , Cameron R. , Solanki S. K.
Published: May 2023

Context. Vortex flows have been found in the photosphere, chromosphere, and low corona in observations and simulations. It has been suggested that vortices play an important role in channeling energy and plasma into the corona. However, the impact of vortex flows on the corona has not been studied directly in a realistic setup.

Aims. We investigate the role vortices play for coronal heating using high-resolution simulations of coronal loops. The vortices are not artificially driven and they arise, instead, self-consistently from magnetoconvection.

Methods. We performed 3D resistive (magnetohydrodynamic) MHD simulations with the MURaM code. Studying an isolated coronal loop in a Cartesian geometry allows us to resolve the structure of the loop interior. We conducted a statistical analysis to determine vortex properties as a function of height from the chromosphere into the corona.

Results. We find that the energy injected into the loop is generated by internal coherent motions within strong magnetic elements. A significant part of the resulting Poynting flux is channeled through the chromosphere in vortex tubes forming a magnetic connection between the photosphere and corona. Vortices can form contiguous structures that reach up to coronal heights, but in the corona itself, the vortex tubes get deformed and eventually lose their identity with increasing height. Vortices show increased upward directed Poynting flux and heating rate in both the chromosphere and corona, but their effect becomes less pronounced with increasing height.

Conclusions. While vortices play an important role for the energy transport and structuring in the chromosphere and low corona, their importance higher up in the atmosphere is less clear since the swirls are less distinguishable from their environment. Vortex tubes reaching the corona reveal a complex relationship with the coronal emission.
Coma environment of comet C/2017 K2 around the water ice sublimation boundary observed with VLT/MUSE
Authors: Kwon Yuna G. , Opitom Cyrielle , Lippi Manuela
Published: May 2023

We report a new imaging spectroscopic observation of Oort cloud comet C/2017 K2 (hereafter K2) with the Multi Unit Spectroscopic Explorer (MUSE) instrument at the Very Large Telescope on its way to perihelion at 2.53 au, around a heliocentric distance where H2O ice begins to play a key role in comet activation. Normalized reflectances over 6500–8500 Å for its inner (cometocentric distance ρ ≈ 103 km) and outer (ρ ≈ 2 × 104 km) comae are 9.7 ± 0.5 and 7.2 ± 0.3 % (103 Å)−1, respectively, the latter being consistent with the slope observed when the comet was beyond the orbit of Saturn. The dust coma of K2 at the time of observation appears to contain three distinct populations: millimeter-sized chunks prevailing at ρ ≲ 103 km; a 105 km steady-state dust envelope; and fresh anti-sunward jet particles. The dust chunks dominate the continuum signal and are distributed over a similar radial distance scale as the coma region with redder dust than nearby. They also appear to be co-spatial with OI1D, suggesting that the chunks may accommodate H2O ice with a fraction (≳1%) of refractory materials. The jet particles do not colocate with any gas species detected. The outer coma spectrum contains three significant emissions from C2(0,0) Swan band, OI1D, and CN(1,0) red band, with an overall deficiency in NH2. Assuming that all OI1D flux results from H2O dissociation, we compute an upper limit on the water production rate QH2O of ~7 × 1028 molec s−1 (with an uncertainty of a factor of two). The production ratio log[QC2/QCN] of K2 suggests that the comet has a typical carbon chain composition, with the value potentially changing with distance from the Sun. Our observations suggest that dust chunks (>0.1 mm) containing water ice and near K2’s nucleus emitted beyond 4 au may be responsible for its very low gas rotational temperature and the discrepancy between its optical and infrared lights reported at similar heliocentric distances.
M giants with IGRINS
Authors: Nandakumar G. , Ryde N. , Casagrande L. , Mace G.
Published: May 2023

Context. Cool stars, such as M giants, can only be analyzed in the near-infrared (NIR) regime due to the ubiquitous titanium oxide features in optical spectra of stars with Teff < 4000 K. In dust-obscured regions, the inner bulge and Galactic center region, the intrinsically bright M giants observed in the NIR are an optimal option for studying stellar abundances and the chemical evolution of stellar populations. Because of the uncertainties in photometric methods, a method for determining the stellar parameters for M giants from the NIR spectra themselves is needed.

Aims. We develop a method for determining the stellar parameters for M giants from the NIR spectra. We validate the method by deriving the stellar parameters for nearby well-studied M giants with spectra from the spectral library of the Immersion GRating INfrared Spectrograph (IGRINS). We demonstrate the accuracy and precision of our method by determining the stellar parameters and α-element trends versus metallicity for solar neighborhood M giants.

Methods. We carried out new observations of 44 M giant stars with IGRINS mounted on the Gemini South telescope. We also obtained the full H and K band IGRINS spectra of six nearby well-studied M giants at a spectral resolving power of R = 45 000 from the IGRINS spectral library. We used the tool called spectroscopy made easy in combination with one-dimensional (1D) model atmospheres in a radiative and convective scheme (MARCS) stellar atmosphere models to model the synthetic spectrum that fits the observed spectrum best.

Results. The effective temperatures that we derive from our new method (tested for 3400 ≲ Teff ≲ 4000 K here) agree excellently with those of the six nearby well-studied M giants, which indicates that the accuracy is indeed high. For the 43 solar neighborhood M giants, our Teff, log g, [Fe/H], ξmicro, [C/Fe], [N/Fe], and [O/Fe] agree with APOGEE with mean differences and a scatter (our method – APOGEE) of −67±33 K, −0.31±0.15 dex, 0.02±0.05 dex, 0.22±0.13 km s−1, −0.05±0.06 dex, 0.06±0.06 dex, and 0.02±0.09 dex, respectively. Furthermore, the tight offset with a small dispersion compared to the APOGEE Teff indicates a high precision in our derived temperatures and those derived from the APOGEE pipeline. The typical uncertainties in the stellar parameters are found to be ±100 K in Teff, ±0.2 dex in log g, ±0.1 dex in [Fe/H], and ±0.1 km s−1 in ξmicro. The α-element trends versus metallicity for Mg, Si, Ca, and Ti are consistent with the APOGEE DR17 trends for the same stars and with the GILD optical trends. We also find a clear enhancement in the abundances for thick-disk stars.
The IACOB project
Authors: de Burgos A. , Simón-Díaz S. , Urbaneja M. A. , Negueruela I.
Published: May 2023

Context. Blue supergiants (BSGs) are key objects for studying the intermediate phases of massive star evolution because they are very useful to constrain evolutionary models. However, the lack of a holistic study of a statistically significant and unbiased sample of these objects has lead to several long-standing questions about their physical properties and evolutionary nature to remain unsolved.

Aims. This paper and other upcoming papers of the IACOB series are focused on studying from a pure empirical point of view a sample of about 500 Galactic O9–B9 stars with luminosity classes I and II (plus 250 late O- and early B-type stars with luminosity classes III, IV, and V) that cover distances up to ≈4 kpc from the Sun.

Methods. We compiled an initial set of ≈11 000 high-resolution spectra from ≈1600 Galactic late O- and B-type stars. We used a novel spectroscopic strategy based on a simple fitting of the Hβ line to select stars in a specific region of the spectroscopic Hertzsprung–Russel diagram. We evaluated the completeness of our sample using the Alma Luminous Star catalog (ALS III) and Gaia-DR3 data.

Results. We show the benefits of the proposed strategy for identifying BSGs that are descended in the context of single star evolution from stellar objects that are born as O-type stars. The resulting sample reaches a high level of completeness with respect to the ALS III catalog, gathering ≈80% of all-sky targets brighter than Bmag < 9 located within 2 kpc. However, we identify the need for new observations in specific regions of the southern hemisphere.

Conclusions. We have explored a very fast and robust method for selecting BSGs. This provides a valuable tool for large spectroscopic surveys such as WEAVE-SCIP or 4MIDABLE-LR, and it highlights the risk of using spectral classifications from the literature. Upcoming studies will make use of this large and homogeneous spectroscopic sample to study the specific properties of these stars in detail. We initially provide first results for their rotational properties (in terms of projected rotational velocities, v sin i).
The Analysis of Potential Market Preferences for Café Businesses on Healthy Food Purchase Decision
Authors: Widjaja Stefanny , Purnama Priska Arindya , Herdina Ajeng Mira
Published: May 2023

The healthy food business is growing in Indonesia. However, there are several factors that influence consumers' purchase decisions for healthy food dishes such as product, service, experience, price, and promotion. The purpose of this study is to analyze the influence of the above variables on consumers’ purchase decisions toward healthy food dishes. The research object in this study is Lexxy's Ground Café, a café project that offers a healthy food menu. This research applies quantitative research. The data analysis method is descriptive statistics and multiple regression. The data was collected using online questionnaires. The results reveal that simultaneously the product, promotion, price, service, and experience variables influenced healthy food purchasing decisions up to 68.1%. However, partially, service, promotion and price significantly influence the decisions to purchase healthy food. Yet, product and experience do not influence healthy food purchasing decisions. The findings in this study indicates that service in the culinary business becomes dominant influence for customers’ purchase decisions on healthy food dishes. Hence, the business owner should provide the best service to potential customers. The result of this study will provide a reference for the owner of café business to define the actions for their business expansion.
Battery optimization by machine learning algorithms: Research gap via bibliometric analysis
Authors: Hananda Nico , Kamul Azure , Harito Christian , Djuana Endang , Elwirehardja Gregorius Natanael , Pardamean Bens , Gunawan Fergyanto E. , Budiman Arief S. , Asrol Muhammad , Redi A. A. N. Perwira , Pasang Tim
Published: May 2023

Technological developments enable low-carbon transitions to be accelerated by conceptualization systems and innovations for research and development to generate clean energy. Batteries are becoming one of the essential parts of the science of electrical power sources. Lithium-ion batteries are part of the change and development factors in technologies that significantly impact the portable devices sector and the development of electric vehicles. Designing the material structure and composition of battery manufacturing with the help of engineering system design will form a much more optimal battery. Machine learning algorithms can easily optimize the battery’s composition through battery experiment test data history to produce a more optimal battery configuration. This study is prepared to identify research gaps in topics related to machine learning for battery optimization. Related studies about machine learning for battery optimization are identified using bibliometric analysis and systematic literature review of the study search index through database Scopus-indexed publications. The results from this paper reveal energy management systems and strategies, hybrid vehicles, other optimization algorithms, battery electrodes, and the safety of batteries as the particular research gap according to machine learning for battery optimization. This paper expects research on battery optimization using machine learning methods will continue to be developed to maximize the potential of machine learning algorithms in helping the research process.
Application of Water Recycling System on Apartments in Senopati South Jakarta
Authors: Mumpuni Fairus Dyah Ayu , Tomasowa Riva , Nasir Nofriyon
Published: May 2023

The population growth in Jakarta stimulates the number of residential demands around the city. In contrast with the land availability, the feasible solution would be to create the high rise such as apartments. However, this result generates another problem, which is the clean water supplies. Apartment inhabitants at least consume clean water for 200 to 250 litres per person daily. This alarming circumstance should be solved by conserve the water. The paper is discussing the alternate way for apartment to recycle the used water. The careful calculation of water usage before design will affect the apartment design decisions. Integrated building services system are required in this designing process of the water recycle system. (FDAM).
Face Identification System and Temperature Detection as A Control to Enter the Building
Authors: Dinda Nurul Rahma , Blesky Thalia , Suharjito  , Saputro Immanuela Puspasari
Published: May 2023

The purpose of this study was to develop an access control system for the identification of face and body temperature during the pandemic. Access control is granted after system tests and recognizes a person's face according to the information already stored. Facial identification system developed using the CNN method as a facial recognition process. While the Euclidean distance to calculate the pattern of the face extraction point. The sensor (DS18B20) is used for temperature detection and activating the LED if the temperature criteria and face identification are correct. The access control system is written with the Python programming system and uses the OpenCV module. Based on the results of the calculations from 5 datasets, the system has an accuracy of 75.31% with an average detectable temperature of 36.21 Celsius. This access control system can operate for 24 hours so that it is more effective and efficient in controlling entry into the building.
MenuKu: An Android-based Solution to Food and Beverage Order Management
Authors: Pratama Andy Rhamdany , Bagaskoro Gregorius Aldi , Nathania Dewa Ayu Defina Audrey , Makalew Brilly Andro
Published: May 2023

The problem faced by restaurants when there are many customers is the accumulation of order lists, where the waiter will experience being overwhelmed when confirming customer orders. With this application, it is expected to be able to help ease the ordering process. Not only is the reservation feature provided, but it also offers a reservation feature to solve the problem of customers who don't want to get a table when visiting the restaurant. Applications are developed using the waterfall method. The data collection stage uses an online questionnaire system using Google Forms to meet users' requirements while designing systems using the UML method.
PT. A. I. “Kampung Berseri A.” Program in Support of the 4th Sustainable Development Goals in T. Village in 2020
Authors: Hutagalung Iman Tulus Monang , Affandi Roseno Aji
Published: May 2023

In achieving business success, business actors such as multinational corporations need to pay attention to the company's concern and respect for the environment around business activities through a program that is called Corporate Social Responsibility (CSR). CSR programs come in many forms, one of them being sustainable development. This study aims to analyze the CSR program of “Kampung Berseri A.”, which PT. A. I. runs in supporting the 4th Sustainable Development Goals (SDGs), Quality Education. This research takes a case study in T. Village, Yogyakarta. This research was conducted with a qualitative approach. The data used in this study are primary data from interviews with village communities and secondary data from sustainability reports belonging to PT. A. I. Through this research, it is found that PT. A. I. has managed to contribute toward the accomplishment of the fourth goal of the SDGs in T. Village in 2020 through the impact its “Kampung Berseri A.” program brings toward the development of education in the village that can be seen in several forms such as new and improved infrastructures and scholarships.
The Implementation of Triple Bottom Line on CSR Effort Toward Sustainable Development: Case Study Starbucks Greener Nusantara
Authors: Wijaya Salsabila Amarra , Nugraha Mursitama Tirta
Published: May 2023

This research discusses Starbucks Indonesia's Greener Nusantara program as a Corporate Social Responsibility (CSR) in responding to the phenomenon of plastic waste that is currently an issue of sustainable development. This research aims to describe and examine the implementation of Starbucks Greener Nusantara's CSR program at Starbucks Coffee Banjarmasin toward sustainable development from the perspective of the Triple Bottom Line. This research focuses on Archie B. Carroll's pyramid of CSR and is measured through the perspective of the Triple Bottom Line (TBL) Theory by John Elkington. This research used the descriptive qualitative approach with a case study and triangulation methods to prove the primary data obtained from observation and interviews and secondary data analysis obtained from relevant books and journals and websites, news, reports, and documents. This research shows that the Starbucks Greener Nusantara program has implemented CSR through the economic, legal, ethical, and philanthropic aspects. However, this program has not fully achieved the people (social) aspect of the TBL, and the Greener Nusantara program still requires more promotion to the local community at Starbucks Coffee Banjarmasin outlets. The practical implications of this research are to improve the main objectives of the Greener Nusantara program and achieve profit (economic), people (social), and planet (environment) sustainability at Starbucks Coffee Banjarmasin. This research also encourages further action among governments, MNCs, society, and other actors to collaborate to achieve Sustainable Development Goals (SDGs) and encourage companies to measure their overall CSR success periodically.
FDI and Tax Policy: Evidence from Indonesia
Authors: Prawati Levana Dhia , Karina Mahda , Wijaya Sandra Angela
Published: May 2023

Foreign Direct Investment (FDI) is an investment from one country into another country. The purpose of this research is to determine the factors that affect the FDI inward in Indonesia. The research object used is the condition of FDI in Indonesia within 50 years from 1970 until 2019 with quantitative research methods. Data analysis was performed using the multiple linear regression and using software statistic E-views. The results shows that Tax Treaty has positive significant effect on FDI. Tax Incentive have no effect on FDI. Corporate Income Tax Rate has negative significant effect on FDI. Furthermore, GDP per Capita and Inflation Rate have no effect on FDI. Trade Openness have no effect on FDI. This indicates that double taxation avoidance agreements are legalized and active between Indonesia and other countries, enlarging the number of foreign direct investment entering Indonesia. The lower the corporate income tax rate imposed in Indonesia, enlarging the Foreign Direct Investment inward in Indonesia.
Pandemic Covid-19 Impact on Technology and Telecommunication Industry: Evidence from Indonesia Listed Company
Authors: Mulyono
Published: May 2023

This research aims to determine pandemic Covid-19 on the profitability of technology and telecommunication companies listed on the Indonesia Stock Exchange. To measure a company's profitability using return on equity ratio (ROE). This research applies the event study method before and after the Indonesian government's announcement of the Covid-19 case for the first time. The data processed consists of financial statements in 2019 and 2020 obtained from the Indonesia Stock Exchange and the company's website. Data processing handling with SPSS statistics software. The results concluded a significant effect of the Covid-19 pandemic on company profitability in the technology and telecommunications industry. A total of 65.79% of the sample of companies experienced a decrease in profitability.
Twiplomacy by Indonesian Ambassadors and Embassies
Authors: Ifran Mohamad Rendy Irawan , Prihatini Ella , Mursitama Tirta Nugraha
Published: May 2023

Twitter has been strategically used by many countries in the world as part of their digital diplomacy or known as Twiplomacy. The current pandemic highlights the pivotal role that Twiplomacy has to offer. Aside from being free to use, this approach is fast in terms of disseminating information that can improve a country’s international image. It also serves as an excellent tool to ensure protection for diaspora communities worldwide by providing updates to those in need of support. The Indonesian government is fully aware of these functions, hence almost all embassies and ambassadors are now on Twitter to push forward Indonesia’s international agendas. Our paper introduces a dataset which consists of key information from all Twitter handles owned by ambassadors and embassies as of 12 March 2021. The descriptive analysis offers a novel empirical exploration of how Indonesian Twiplomacy fares during pandemic times. Our data suggests that embassies have a substantial role in Twiplomacy and every effort to improve their digital contribution should be highly encouraged. As for digital reach, we found that the total number of embassies’ Twitter followers is less than a quarter of those of ambassadors. Yet, Indonesian embassies tweeted three times more than the ambassadors. We also find that embassies with longer existence in the Twitterverse have more followers, hence greater digital contribution to Indonesia's overall Twiplomacy performance.
The Relationship Between Resilience and Subjective Well-Being Among Employees on the Work-From-Home Scheme in South Jakarta
Authors: Nadhira Syifa , Wulandari Antonina Pantja Juni , Pramastyaningtyas Angela Dyah Ari
Published: May 2023

This study aimed to explore the relationship between resilience and subjective well-being among employees who worked from home in South Jakarta. In light of the amount and sort of adaptations and adjustments brought about by the Covid-19 pandemic on various aspects of the life of employees, enduring such chronic state of stress presented a much-needed exploration into their psychological states and resources in order to map out the kind of support and ecosystem needed for employees to still be able to thrive in post-pandemic society 5.0. This study used correlational statistics that involved 200 participants ranging in age from 20-60 years who worked from home and full time in South Jakarta. Correlational results found a significant positive relationship between resilience and subjective well-being among employees who worked from home in South Jakarta, r= 0.701, p >.05. It was found that the higher the resilience, the higher the subjective well-being among employees who worked from home in South Jakarta.
Student Organization Website at Bina Nusantara University As a Media To Build Pancasila Values in Indonesia
Authors: Reggi Sonia Candy , Hepi Witono Petrus , Kartika Rina
Published: May 2023

Speaking of brand image, in the science of visual communication design, particularly in a product, we will discuss branding imagery. The State of Indonesia is a brand that has brand values namely Pancasila and the unifying sentence, namely Bhinneka Tunggal Ika. Sumpah Palapa, Satu Nusa Satu Bangsa, and noble principles originating from Sumpah Palapa all strengthen these brand characteristics. Of course, by adapting the media through the Internet of Things (IoT), we can implant this tradition in the nation's next generation. The researchers worked with the coordinators of student organization sites in this study as a way of contributing and transmitting aspirations through publications on the Indonesian nation's noble values relevant to the field of student organizations. This research relies on on-site observation. As a result, one shared purpose, namely the site as a means of delivering information, has been achieved. As a result, one common purpose has been achieved, namely the site as a means of teaching Pancasila ideals to young activists of student organizations, with the goal of achieving Making Indonesia 4.0, a sense of nationalism, and building academic integrity in educational institutions.
Low Fidelity Prototype Design to Facilitate NDA GCF Website Navigation Process for Submitting Climate Action Project Proposal
Authors: Warbung Tobias , Sriherlambang Budi , Oei Julianto , Carina Rina
Published: May 2023

The management of funds from the Global Climate Fund for the Indonesian government is managed by the Fiscal Policy Agency as part of the Ministry of Finance of the Republic of Indonesia, which in its communication using the website becomes an important medium so that the message and its objectives can be achieved. National Designated Authority (NDA) serves as the focal point between a country and the Green Climate Fund (GCF). It plays a key role in ensuring country ownership, the core principle of GCF's business model. This study intends to design a low-fidelity prototype on the NDA GCF website so that it is easier for users to navigate and achieve their main goal so that users can upload their ideas for tackling climate change in the form of a proposal. The design direction of the low-fidelity prototype design for this research was obtained from the analysis that had been carried out by the research team in previous studies. The method used is the branching method by John Bower to design prototypes that are easy to understand and understand. To organize the layout and information, the research team uses design principles and elements to show the hierarchy of the website so that users can see the order and priority of the information needed. Design principles and elements are also used to simplify some sections of the NDA GCF website. And the conclusion of this research is that the team believes this prototype will improve the usability of the NDA GCF website so that users can more easily navigate the website and make it easier for them to upload proposals, which is the main purpose of the website.
Language Features of Transgenders as Their Gender Representation in Digital Culture
Authors: Kelien Denis , Karjo Clara Herlina
Published: May 2023

Huge number of researches suggest many differentiations between men and women’ language features. Most studies proclaim men to be more aggressive, verbal, and have higher self-esteem while women tend to be milder and soft-spoken. However, how about the transgenders? This study aims to see what language features used by the transgenders and how the transgenders represented in the digital media which in this case, YouTube. The study will be conducted using the qualitative data analysis. Starting with collecting the data from four videos taken from Jimmy Kimmel, Allure, About Ethan, and Netflix’s YouTube channels. These data then analyzed using the theory of women’s language features by Robin Lakoff, men’s language features by Jennifer Coates, and the theory of gender presentation in digital media by LaFrance and Vial. The result of this study shows that transgender women use six out of ten female language features, while maintaining two of men language features. Meanwhile, transmen maintain three women’s language features, while using four men language features. The study’s results implies that gender need to be considered as a multidimensional construct and more studies about language and gender must be expanded for multidimensional identity to be recognized in this vast digital world.
Digital Learning Experience among Newbie Entrepreneurs
Authors: Herlina Maria Grace , Rinaldi Banu , Rahmasari Aninda
Published: May 2023

Entrepreneurship is essential to Indonesia's economic development. It is evidenced by 99.9 percent of all Indonesian firms are micro, small, and medium-sized enterprises (MSMEs). Young generations play an essential part in entrepreneurial ventures since they are more likely to start a new business than older generations. Moreover, Gen Y and Gen Z are more adept with digital learning behaviors. This study adds significantly to the existing entrepreneurial literature by examining social media learning on knowledge-based activities. The Rasch model was used in this study. It evaluated social media as a digital platform where newbie entrepreneurs can use resources and capabilities through knowledge-based activities to develop digital learning among them. The study's outcomes demonstrate a significant difference in exploitative behaviors between gen Y and gen Z. On the contrary, there are no significant differences in both generations' explorative and knowledge-sharing behaviors. It means they have the same level of explorative and knowledge-sharing behaviors.
The Influence of Fandom Language in the Word Formation of Indonesian Internet Slangs
Authors: Permatasari Shafira Chairunissa , Karjo Clara Herlina
Published: May 2023

Fandom has become a sociocultural phenomenon. The phenomenon as a whole has shown how people consume media and participate in developing a new subculture based on the media. As the usage of the internet increases, social media has become a space that caters to the need of fandom communities, particularly Twitter. Twitter is a very powerful platform to reach a large online audience. With its high mobility function, Twitter has become a comprehensive medium for fandom communities to interact. The goals of this research are to identify the word-formation process in Indonesian internet slang language and to find out how these new slangs are being used in a textual context on Twitter. The research applies qualitative methods with a descriptive approach. In the process of collecting data, 5 tweets that contain fandom language-influenced Indonesian slang from Indonesian Twitter users were obtained. The data analysis is done by using Yule's morphology theory of the word-formation process. The results show that there are influences of fandom language in the creation of Indonesian internet slang words. The majority of word-formation processes of the slang words are multiple processes, indicating that there are not only word transformations, but there are also changes in the meaning. The research implies the adoption of new words from other language experiences meaning change which results in contextual transformation from the original words.
Language Teachers’ Perspectives on Web 2.0 in Education
Authors: Michael
Published: May 2023

Technology has advanced rapidly, and it goes to all sectors, including education. One type of technologies, Web 2.0, has been seen as a promising tool for education, including for language education. However, this has not been maximally utilized here in Indonesia. This research aims to hear the perspectives of language teachers on the use of Web 2.0 as their teaching tool. A qualitative study was conducted with thirty participants who were all language teachers. They were given a questionnaire to fill in and were interviewed for more comprehensive answers. Looking into their answers, it could be said that most teachers welcomed Web 2.0, but they might need some time to implement it.
Measuring and Analyzing the Factors Affecting User’s Satisfaction with the PeduliLindungi Application
Authors: Alfarrel Johan Felix , Noerlina
Published: May 2023

Many countries in the world use Digital Contact Tracing as an effort to prevent the spread of the Covid-19 virus. On one hand, this application is quite effective in controlling the virus, but on the other hand, issues arise related to the use of personal information collected through the application. This paper attempts to reveal the role of privacy concern, trust belief and risk belief on the satisfaction of users of the PeduliLindungi application, a DCT application developed by the Indonesian government. Apart from these three variables, this paper tries to reveal the role of several variables proposed by DeLone and McLean and Davis related to the adoption of information technology. The method used in this research is quantitative by collecting respondents using a questionnaire sent through online social media platforms and instant messaging platforms. The data collected is processed using Smart PLS 3 software. After analyzing the data from 242 respondents, this study confirmed the role of the variables privacy concern, risk belief, system quality, perceived usefulness, service quality, perceived ease of use on application user satisfaction and it was also found that information quality and trust did not have a significant relationship with user satisfaction. In addition, this study reveals the role of the Risk belief in mediating privacy concerns towards user satisfaction.
Interactions of invasive pumpkinseed with a riverine endemic fish indicate trophic overlap but minimal consequences for somatic growth and condition
Authors: Karakuş Uğur , Tarkan Ali Serhan , Yalçın-Özdilek Şükran , Top-Karakuş Nildeniz , Partal Nurbanu , Britton John Robert
Published: May 2023

The North American invasive fish pumpkinseed Lepomis gibbosus has been associated with some detrimental ecological consequences in some parts of its invasive range. Here, we tested the trophic interactions of pumpkinseed with the endemic stream fish Aegean chub Squalius fellowesii (‘chub’) in a Mediterranean-type water course in SW Anatolia, Turkey, using a bulk stable isotope approach (δ13C, δ15N). Seven sampling sites were able to be grouped as chub in pumpkinseed presence (n = 2) and absence (n = 3), and pumpkinseed in chub absence (n = 2). Across these groups, stable isotope metrics revealed that chub trophic (isotopic) niche size was similar in pumpkinseed presence/absence, but pumpkinseed had a larger niche in chub presence. In sites where they are co-habited, their niches showed some convergence, but with no apparent consequences for their growth or body condition, suggesting there were minimal ecological consequences of this sharing of food resources. These results suggest that the trophic consequences of this riverine invasion of pumpkinseed on this endemic chub was minimal.
Numerical identification of the elasticity tensor of heterogeneous materials made of Silicon Carbide and Titanium by the Finite Element Model Updating (FEMU)
Authors: Ayeleh Edo-Owodou , Atchonouglo Kossi , Koumekpo Yao , Germaneau Arnaud , Caillé Laëtitia , Dupré Jean-Chistophe
Published: May 2023

This work is subjected to the development of a method to identify the elasticity tensor of homogeneous and heterogeneous materials. The materials are created in the form of checkerboards. We solved the direct problem to obtain the strain field using the finite element method, after obtaining this strain field, we created synthetic experimental displacement data by simulation. A re-calibration of the created experimental and simulated data is done based on the principle of the finite element model updating (FEMU), used in almost all domains, in the inverse problem. The minimization of the cost function obtained by FEMU is done by Levenberg-Marquardt algorithm which is very fast and elegant algorithm. A complete study has been done by studying the sensitivity of the identified values with respect to the refinement of the mesh and with respect to the level of disturbance.
Cette énergie pratiquement illimitée qui nous vient du Soleil
Authors: Lincot Daniel , Leduc Michèle
Published: May 2023

L’entretien présenté ici est destiné à prendre la suite du « dossier photovoltaïque » publié en 2007 dans les numéros 5 et 6 de Reflets de la physique. Le contexte a beaucoup évolué depuis quinze ans, tant du point de vue de la recherche que de l’économie et de l’acceptation par la société.

Les cours professés en 2021 et 2022 par Daniel Lincot au Collège de France, où il était professeur invité dans le cadre de la chaire Innovation technologique Liliane Bettencourt [1, 2], constituent la trame du présent entretien.
A new approach for the generation of real-time GNSS low-latitude ionospheric scintillation maps
Authors: Martinon André R. F. , Stephany Stephan , de Paula Eurico R.
Published: May 2023

Ionospheric scintillation disturbs radio frequency signals affecting navigation based on Global Navigation System (GNSS), especially in Brazil, due to the large magnetic declination. The generation of real-time scintillation maps is an important way to provide scintillation monitoring. This work considers amplitude scintillation, given by the S4 index. Some existing and some proposed approaches for generating these maps are presented and tested, being each one a combination of an interpolation method with some existing and/or proposed sets of pre-processing options. These approaches are named after the related interpolation method as GRIDDATA, Inverse Distance Weighting, Radial Basis Functions and Gaussian Process Regression. The making of scintillation maps requires the interpolation of Ionospheric Pierce Point (IPP) samples, given by the S4 values for each IPP of each satellite-station link considering the set of GNSS stations of the given area and time interval. Some intervals of time that presented strong scintillation over Brazil were selected and the corresponding sets of IPP samples were used to obtain sequences of maps using all possible combinations of interpolation and pre-processing options. Furthermore, a fifth, more recent, approach was also included in the comparison. The quality of the resulting maps was assessed, concluding that the Gaussian Process Regression approach, with a specific set of pre-processing options, allows to generate the most accurate scintillation maps. The proposed map generation approach is part of a broader proposal being implemented to provide real-time scintillation maps covering the Brazilian territory.
Anatomical-Radiological Aspects and Their Influence on the Results of Pituitary Adenomas Endoscopic Endonasal Surgery
Authors: Kuptsov A. , Abarca-Olivas J. , Monjas-Cánovas I. , Argüello-Gordillo T. , Picó-Alfonso A. , Sánchez-Payá J. , Nieto-Navarro J. A.
Published: May 2023

Introduction Endoscopic endonasal surgery has globally improved postoperative results in pituitary adenomas.

Material and Methods We retrospectively analyzed 101 patients who underwent endonasal endoscopic surgery for pituitary adenomas in the period from 2016 to 2021. Data on epidemiological variables, preoperative radiological factors including tumor volume, tumor appearance, cavernous sinus invasion (modified Knosp scale), degree of extension according to the SIPAP (stands for the five directions in which a pituitary adenoma can extend: suprasellar, infrasellar, parasellar, anterior, and posterior) classification, and preoperative visualization of the healthy gland on magnetic resonance imaging (MRI) were collected as well as intra- and postoperative cerebrospinal fluid (CSF) leak. As variables of interest, data on the degree of tumoral resection and preservation of hormonal function were collected.

Results Among the preoperative factors related to greater tumoral resection, we found a lesser tumoral extension according to the SIPAP scale, and the absence of a postoperative CSF leak had a statistically significant relation with greater hormonal preservation.

Conclusion The SIPAP classification is a simple-to-measure preoperative radiological variable that could predict the extent of resection, and, conversely, the occurrence of a postoperative CSF leak has been associated with an inferior endocrinological outcome in this type of surgery.
Improving Scaling Performance in Research for Development: Learning from a Realist Evaluation of the Scaling Readiness Approach
Authors: Damtew Elias , Douthwaite Boru , Schut Marc , Sartas Murat , Leeuwis Cees
Published: May 2023

Complexity-sensitive decision support approaches (CSDSA) have gained prominence in the research for development (R4D) sector. However, limited attention has been given to critically examining the underlying causal assumptions of CSDSAs and their overall effectiveness in navigating complexity and achieving desired outcomes. Scaling Readiness has emerged as a novel CSDSA that is increasingly applied in R4D programs in low- and middle-income countries to improve the scaling of innovation. This study offers theory-based explanations on the extent to which Scaling Readiness supports evidence-based design, implementation and monitoring of scaling strategies in two R4D interventions. The contribution of Scaling Readiness is influenced by various contextual factors, including pre-existing partnerships and established institutional intervention project and performance management practices. The findings underscore the significance of investing in broader institutional impact culture growth. This includes critical evaluation of how funding, incentive, and performance mechanisms enable or constrain evidence-based decision-making and adaptive management at intervention and organizational level towards achieving Sustainable Development Goals.