bluuebunny/crossref_metadata_2025 huggingface dataset:
Digitalization of Media Create Precocious Alpha Generation
Authors: Susanti Ari
Published: July 2023

Alpha generation is born after 2010. They grew up and live with sophisticated digital technology. They are used to operating modern technology in daily activities. They are used to using technology to communicate with others, in the real world and the virtual world. Many public spheres in cyberspaces have been explored by them such as YouTuber, TikTok, WhatsApp, Facebook, online game, online news, e-commerce, m-banking and so on. This technology is called a smartphone which provides various conveniences with information services and unlimited benefits. This causes the alpha generation to enjoy the virtual world and ignore their activities in the real world. The lack of censorship on content uploaded in cyberspace makes the mindset and behavior of the alpha generation, who are still unstable, forced to mature and mature before their age. So that the digitization of this media can trigger a premature alpha generation. Various anticipations have been created by technology, for example applications that can filter content that is not suitable for children such as adult content, violence, issues of intolerance, and others. However, this protection is not enough. The role of parents is very important to overcoming this problem. Children spend more of their free time at home. Full support and concern from the government, society, academia and the media will complement various efforts to make the alpha generation free from digital fantasy addiction.
Digital Communication Patterns Of Milenial Extensions And Farmers In Yogyakarta (DIY) Post Pandemi Covid-19
Authors: Tutiasri Ririn , Kusumajanti  , Aulia Rahmawati  , Syafrida Nurrachmi Febriyanti  , Dian Hutami Rahmawati
Published: July 2023

This study examines the communication patterns made by agricultural extension agents for the Special Region of Yogyakarta (DIY) with millennial farmers after the Covid-19 pandemic. The Covid-19 outbreak has changed the way we communicate, especially the use of communication media. A very real change can be seen by keeping a distance when carrying out communications and activities. Everyone is forced by circumstances to be able to use communication media, namely gadgets as a communication tool. The words of millennial farmers started to be heard at the start of the pandemic, where these members of the millennial farmers were different from previous farmers, namely farmers who were media literate and able to adapt quickly to circumstances. Many social media applications are used to communicate during the pandemic, and these millennial farmers choose applications that easily facilitate their communication. Collecting data in this study using interviews, observation, documentation, and focus group discussion (FGD). Data analysis techniques used with qualitative descriptions. Research informants consisted of extension workers and millennial farmers from four districts and one city, namely Kulonprogo, Bantul, Gunung Kidul, Sleman, and Yogyakarta City. The results of the study indicate that there has been a change in communication patterns carried out by extension agents with millennial farmers after the pandemic, due to the use of technology. After the Covid-19 pandemic, information was digitized for farmer groups, they used information technology to communicate. The pattern of farmer communication during the post-pandemic period has also changed, where millennial farmers have taken a role in coordinating information
Perancangan Usulan Tata Letak Produksi Usaha Kecil Menengah Bata Merah Wiyono
Authors: Pratiwi Filda Yuriski , Loyda Tarigan Elsya Paskaria
Published: July 2023

This study aims to provide suggestions for improvements to the layout of the Wiyono Red Brick Small and Medium Enterprises so that a more optimal layout is obtained in terms of track distance, simpler material flow, material handling costs, and designing rest areas for workers in the Wiyono Red Brick Small and Medium Enterprises. The Wiyono Red Brick Small and Medium Enterprises are required to make the track distance shorter and material handling costs cheaper. The necessary data was collected by conducting interviews with business owners and making direct observations at the Wiyono Red Brick Small and Medium Enterprises. This study used the Computerized Relative Allocation of Facilities Techniques (CRAFT) method. The results of the analysis using the CRAFT method show that the proposed layout has an alternative OMH layout of Rp.1,464,676.5, while the initial layout is Rp. 2,831,368.1, resulting in a difference of Rp. 1,366,691.6. The total distance of the initial layout is 269,654 m, while the alternative distance is 139,493 m with a difference of 130,161 m. From the results of the comparison, it is found that the difference between the initial layout and the alternative layout is so large that it is necessary to apply the alternative layout to make production more optimal.
The preparation, characterization, and antibacterial activity evaluation of nanoliposomes incorporated with terebinth extract
Authors: YILMAZ Ali , NİZAM Nagihan , MACİT Meltem , DUMAN Gülengül , ÇAĞAL Münevver Müge
Published: July 2023

Nanoliposomes are drug release systems that increase bioavailability and are used for encapsulation of therapeutic active ingredients. Terebinth, which is a medicinal plant that grows in many parts of Türkiye, has antibacterial, antioxidant, and anti-inflammatory activity. The antibacterial activity of nanoliposomes incorporated with ethanol extract of terebinth leaves (TLE) was investigated to determine the effects of formulation.
The nanoliposome formulation was prepared in two steps which were high pressure and high intensity homogenization techniques. Characterization parameters (zeta potential, particle size and distribution, polydispersity index, and encapsulation efficiency) were determined. After third cycle of microfluidization, the zeta potential charge of nanoliposome dispersion was measured -66.6 mV and 91.13 nm in size. The PDI was 0.231. Also, the nanoliposome encapsulation efficiency was calculated as 91.90%. The TLE was encapsulated with nanoliposomes and their antibacterial activity was examined by disk diffusion and minimum inhibition concentration tests against Escherichia coli ATTC 25922 and Staphylococcus aureus ATTC 25923. Nanoliposome encapsulated TLE (NLTLE) has antibacterial activity against S. aureus ATTC 25923. While NLTLE has less active substance, it displays the same antibacterial activity as TLE.
The Effect of Empowering Leadership on Innovative Work Behavior: the Mediation Effect of Intrinsic Motivation and Employee Creativity
Authors:   Academic Society of Global Business Administration, Kim Sun A , Jo Sung Jun
Published: July 2023

The importance of innovation for organizational performance and survival is widely recognized. Over the past two decades, scholars and practitioners have paid much attention to employees' innovative work behaviors. One of the factors that influence innovative work behavior is empowering leadership. This study examines the mediating roles of intrinsic motivation(IM) and employee creativity(EC) in the relationship between empowering leadership(EL) and innovative work behavior(IWB) based on a conceptual model developed from existing research findings. Data were collected from a sample of 390 employees working in the information technology(IT) industry in Korea using an online questionnaire. Partial least squares structural equation modeling (PLS-SEM) using bootstrapping technique was applied to test the research hypotheses. The results showed that employees who rated EL highly had higher IM, which enhanced EC, which in turn improved their self-rated IWB. Our findings not only shed light on the mechanisms that strengthen the EL-IWB relationship, but also highlight the important roles of IM and EC in this link. Based on these findings, we suggest that executives in the IT industry should primarily consider developing and encouraging managers' empowering behaviors to foster employees' IM, enhance EC, and ultimately improve their IWB. Finally, limitations of the study and directions for future research were presented.
SELF MANAGEMENT DAN PERUBAHAN KADAR GLUKOSA DARAH PADA PENDERITA DIABETES MELLITUS DI WILAYAH TANGERANG TAHUN 2021
Authors: Susilawati Ela , Nurrika Dieta , Haryati Juniar , Effendi Dian Puspitasari
Published: July 2023

Penderita diabetes harus memiliki manajemen diri yang baik untuk meminimalkan komplikasi yang dapat mempengaruhi kualitas hidup penderita diabetes dengan mengatur pola makan, melakukan aktivitas fisik, dan mengontrol kadar gula darah secara teratur. Penelitian ini bertujuan untuk menganalisis hubungan self-management dengan perubahan kadar gula darah. Sampel berjumlah 101 orang yang memenuhi kriteria inklusi dimana sampel diambil secara quota sampling dengan menggunakan metode analitik dan pendekatan cross sectional. Instrumen penelitian yang digunakan adalah DSMQ-R, pengumpulan data dilakukan dengan mengisi link kuesioner. Pengukuran kadar gula berdasarkan hasil perubahan kadar gula dilakukan 2 bulan sebelumnya dan pengukuran terakhir. Data dianalisis menggunakan uji statistik chi-square dengan tingkat kepercayaan α=0,05 (95%). Responden yang memiliki manajemen diri kurang baik sebanyak 89,1% dan 10,9% yang mengelola diri dengan baik. Responden yang mengalami perubahan kadar gula darah buruk sebesar 50,5% dan perubahan kadar gula darah baik 49,5%. Hasil penelitian menunjukkan nilai p-value = 0,35 artinya tidak ada hubungan antara self management dengan perubahan kadar gula darah. Penderita diabetes sudah memahami beberapa tindakan manajemen diri namun masih belum banyak penderita diabetes melitus yang menerapkan manajemen diri dalam kehidupan sehari-hari, hal ini juga mempengaruhi perubahan kadar gula darah.Kata kunci: Diabetes Mellitus (DM); Manajemen diri; Perubahan Kadar Gula DarahAbstract Diabetics must have good self-management to minimize complications that can affect people with diabetes quality of life by adjusting their diet, doing physical activity, and controlling blood sugar levels regularly. This study aims to analyze the relationship of self-management with changes in blood sugar levels. The sample was 101 people who met the inclusion criteria where the sample was taken by quota sampling using analytical methods and cross-sectional approaches. The research instrument used was DSMQ-R, data collection was done by filling out a questionnaire link. Measurement of sugar content based on changes in the results of sugar content carried out 2 months earlier and the last measurement. Data were analyzed using chi-square statistical test with a confidence level of α=0.05 (95%). Respondents who have poor self-management as many as 89.1% and 10.9% who manage self-management well. Respondents who experienced changes in bad blood sugar levels were 50.5% and 49.5% changes in good blood sugar levels. The results showed that the p-value = 0.35 means that there is no relationship between self-management and changes in blood sugar levels. Diabetics have understood some self-management actions but still not many people with diabetes mellitus apply self-management in daily life, this also affects changes in blood sugar levels.Keywords: Diabetes Mellitus (DM); Self-Management; Changes in Blood Sugar Levels
A Mini-Neptune Orbiting the Metal-poor K Dwarf BD+29 2654
Authors: Dai Fei , Schlaufman Kevin C. , Reggiani Henrique , Bouma Luke , Howard Andrew W. , Chontos Ashley , Pidhorodetska Daria , Van Zandt Judah , Akana Murphy Joseph M. , Rubenzahl Ryan A. , Polanski Alex S. , Lubin Jack , Beard Corey , Giacalone Steven , Holcomb Rae , Batalha Natalie M. , Crossfield Ian , Dressing Courtney , Fulton Benjamin , Huber Daniel , Isaacson Howard , Kane Stephen R. , Petigura Erik A. , Robertson Paul , Weiss Lauren M. , Belinski Alexander A. , Boyle Andrew W. , Burke Christopher J. , Castro-González Amadeo , Ciardi David R. , Daylan Tansu , Fukui Akihiko , Gill Holden , Guerrero Natalia M. , Hellier Coel , Howell Steve B. , Lillo-Box Jorge , Murgas Felipe , Narita Norio , Pallé Enric , Rodriguez David R. , Savel Arjun B. , Shporer Avi , Stassun Keivan G. , Striegel Stephanie , Caldwell Douglas A. , Jenkins Jon M. , Ricker George R. , Seager Sara , Vanderspek Roland , Winn Joshua N.
Published: July 2023

We report the discovery and Doppler mass measurement of a 7.4 days 2.3 R
⊕ mini-Neptune around a metal-poor K dwarf BD+29 2654 (TOI-2018). Based on a high-resolution Keck/HIRES spectrum, the Gaia parallax, and multiwavelength photometry from the UV to the mid-infrared, we found that the host star has

T

eff

=

4174

−
42

+
34

K,

log
g
=

4.62

−
0.03

+
0.02

, [Fe/H] = − 0.58 ± 0.18, M
* = 0.57 ± 0.02 M
⊙, and R
* = 0.62 ± 0.01 R
⊙. Precise Doppler measurements with Keck/HIRES revealed a planetary mass of M
p = 9.2 ± 2.1 M
⊕ for TOI-2018 b. TOI-2018 b has a mass and radius that are consistent with an Earthlike core, with a ∼1%-by-mass hydrogen/helium envelope or an ice–rock mixture. The mass of TOI-2018 b is close to the threshold for runaway accretion and hence giant planet formation. Such a threshold is predicted to be around 10M
⊕ or lower for a low-metallicity (low-opacity) environment. If TOI-2018 b is a planetary core that failed to undergo runaway accretion, it may underline the reason why giant planets are rare around low-metallicity host stars (one possibility is their shorter disk lifetimes). With a K-band magnitude of 7.1, TOI-2018 b may be a suitable target for transmission spectroscopy with the James Webb Space Telescope. The system is also amenable to metastable Helium observation; the detection of a Helium exosphere would help distinguish between a H/He-enveloped planet and a water world.
A Hydrodynamic Study of the Escape of Metal Species and Excited Hydrogen from the Atmosphere of the Hot Jupiter WASP-121b
Authors: Huang 黄 Chenliang 辰亮 , Koskinen Tommi , Lavvas Panayotis , Fossati Luca
Published: July 2023

In the near-UV and optical transmission spectrum of the hot Jupiter WASP-121b, recent observations have detected strong absorption features of Mg, Fe, Ca, and Hα, extending outside of the planet’s Roche lobe. Studying these atomic signatures can directly trace the escaping atmosphere and constrain the energy balance of the upper atmosphere. To understand these features, we introduce a detailed forward model by expanding the capability of a one-dimensional model of the upper atmosphere and hydrodynamic escape to include important processes of atomic metal species. The hydrodynamic model is coupled to a Lyα Monte Carlo radiative transfer calculation to simulate the excited hydrogen population and associated heating/ionization effects. Using this model, we interpret the detected atomic features in the transmission spectrum of WASP-121b and explore the impact of metals and excited hydrogen on its upper atmosphere. We demonstrate the use of multiple absorption lines to impose stronger constraints on the properties of the upper atmosphere than the analysis of a single transmission feature can provide. In addition, the model shows that line broadening due to atmospheric outflow driven by Roche lobe overflow is necessary to explain the observed line widths and highlights the importance of the high mass-loss rate caused by Roche lobe overflow, which requires careful consideration of the structure of the lower and middle atmosphere. We also show that metal species and excited-state hydrogen can play an important role in the thermal and ionization balance of ultrahot Jupiter thermospheres.
ODIN: Where Do Lyα Blobs Live? Contextualizing Blob Environments within Large-scale Structure
Authors: Ramakrishnan Vandana , Moon Byeongha , Im Sang Hyeok , Farooq Rameen , Lee Kyoung-Soo , Gawiser Eric , Yang Yujin , Park Changbom , Hwang Ho Seong , Valdes Francisco , Artale Maria Celeste , Ciardullo Robin , Dey Arjun , Gronwall Caryl , Guaita Lucia , Jeong Woong-Seob , Padilla Nelson , Singh Akriti , Zabludoff Ann
Published: July 2023

While many Lyα blobs (LABs) are found in and around several well-known protoclusters at high redshift, how they trace the underlying large-scale structure is still poorly understood. In this work, we utilize 5352 Lyα emitters (LAEs) and 129 LABs at z = 3.1 identified over a ∼9.5 deg2 area in early data from the ongoing One-hundred-deg2 DECam Imaging in Narrowbands (ODIN) survey to investigate this question. Using LAEs as tracers of the underlying matter distribution, we identify overdense structures as galaxy groups, protoclusters, and filaments of the cosmic web. We find that LABs preferentially reside in regions of higher-than-average density and are located in closer proximity to overdense structures, which represent the sites of protoclusters and their substructures. Moreover, protoclusters hosting one or more LABs tend to have a higher descendant mass than those which do not. Blobs are also strongly associated with filaments of the cosmic web, with ∼70% of the population being within a projected distance of ∼2.4 pMpc from a filament. We show that the proximity of LABs to protoclusters is naturally explained by their association with filaments as large cosmic structures are where many filaments converge. The contiguous wide-field coverage of the ODIN survey allows us to establish firmly a connection between LABs as a population and filaments of the cosmic web for the first time.
Photochemical Hazes Dramatically Alter Temperature Structure and Atmospheric Circulation in 3D Simulations of Hot Jupiters
Authors: Steinrueck Maria E. , Koskinen Tommi , Lavvas Panayotis , Parmentier Vivien , Zieba Sebastian , Tan Xianyu , Zhang Xi , Kreidberg Laura
Published: July 2023

Photochemical hazes are expected to form in hot Jupiter atmospheres and may explain the strong scattering slopes and muted spectral features observed in the transmission spectra of many hot Jupiters. Absorption and scattering by photochemical hazes have the potential to drastically alter temperature structure and atmospheric circulation of these planets but have previously been neglected in general circulation models (GCMs). We present GCM simulations of the hot Jupiter HD 189733 b that include photochemical hazes as a radiatively active tracer fully coupled to atmospheric dynamics. The influence of haze radiative feedback strongly depends on the assumed haze optical properties. For soot hazes, two distinct thermal inversions form, separated by a local temperature minimum around 10−5 bar caused by upwelling on the dayside mixing air with low haze abundance upwards. The equatorial jet broadens and slows down. The horizontal distribution of hazes remains relatively similar to simulations with radiatively passive tracers. For Titan-type hazes, the equatorial jet accelerates and extends to much lower pressures, resulting in a dramatically different 3D distribution of hazes compared to radiatively passive or soot hazes. Further experimental and observational studies to constrain the optical properties of photochemical hazes will therefore be crucial for understanding the role of hazes in exoplanetary atmospheres. In the dayside emission spectrum, for both types of hazes the amplitude of near-infrared features is reduced, while the emitted flux at longer wavelengths (>4 μm) increases. Haze radiative feedback leads to increased phase-curve amplitudes in many infrared wavelength regions, mostly due to stronger dayside emission.
Transverse Vertical Oscillations During the Contraction and Expansion of Coronal Loops
Authors: Zhang Qingmin , Zhou Yuhao , Li Chuan , Li Qiao , Xia Fanxiaoyu , Qiu Ye , Dai Jun , Zhang Yanjie
Published: July 2023

In this paper, we carry out a detailed analysis of the M1.6 class eruptive flare occurring in NOAA active region 13078 on 2022 August 19. The flare is associated with a fast coronal mass ejection (CME) propagating in the southwest direction with an apparent speed of ∼926 km s−1. Meanwhile, a shock wave is driven by the CME at the flank. The eruption of the CME generates an extreme-ultraviolet (EUV) wave expanding outward from the flare site with an apparent speed of ≥200 km s−1. As the EUV wave propagates eastward, it encounters and interacts with the low-lying adjacent coronal loops (ACLs), which are composed of two loops. The compression of the EUV wave results in contraction, expansion, and transverse vertical oscillations of ACLs. The commencements of contraction are sequential from western to eastern footpoints and the contraction lasts for ∼15 minutes. The speeds of contraction lie in the range of 13–40 km s−1 in 171 Å and 8–54 km s−1 in 193 Å. A long, gradual expansion follows the contraction at lower speeds. Concurrent vertical oscillations are superposed on the contraction and expansion of ACLs. The oscillations last for two to nine cycles and the amplitudes are ≤4 Mm. The periods are between 3 and 12 minutes with an average value of 6.7 minutes. The results show rich dynamics of coronal loops.
New Near-infrared Period–Luminosity–Metallicity Relations for Galactic RR Lyrae Stars Based on Gaia EDR3 Parallaxes
Authors: Zgirski Bartłomiej , Pietrzyński Grzegorz , Górski Marek , Gieren Wolfgang , Wielgórski Piotr , Karczmarek Paulina , Hajdu Gergely , Lewis Megan , Chini Rolf , Graczyk Dariusz , Kałuszyński Mikołaj , Narloch Weronika , Pilecki Bogumił , García Gonzalo Rojas , Suchomska Ksenia , Taormina Mónica
Published: July 2023

We present new period–luminosity and period–luminosity–metallicity relations for Galactic RR Lyrae stars based on a sample of 28 pulsators located at distances of up to 1.5 kpc from the Sun. Near-infrared photometry was obtained at the Cerro Armazones Observatory, and parallaxes were taken from the Gaia Early Data Release 3. Relations were determined for the 2MASS JHK

s
bands and the W

JK
Wesenheit index. We compare our results with other calibrations available in the literature and obtain very good agreement with the photometry of RR Lyraes from the Large Magellanic Cloud (LMC) anchored using the distance to the Cloud, which is based on detached eclipsing binaries. We find that the dependence of absolute magnitudes on metallicity of 0.070 ± 0.042 (J band) to 0.087 ± 0.031 (W

JK
index) mag dex−1 for the population of fundamental pulsators (RRab) is in agreement with previously published phenomenological works. We perform a refined determination of distance to the LMC based on our new calibration and photometry from Szewczyk et al. We study the dependence of the fitted parameters of the fiducial relations and the LMC distance on the systematic parallax offset.
Core-collapse Supernova Simulations with Reduced Nucleosynthesis Networks
Authors: Navó Gerard , Reichert Moritz , Obergaulinger Martin , Arcones Almudena
Published: July 2023

We present core-collapse supernova simulations including nuclear reaction networks that impact explosion dynamics and nucleosynthesis. The different composition treatment can lead to changes in the neutrino heating in the vicinity of the shock by modifying the number of nucleons and thus the neutrino-opacity of the region. This reduces the ram pressure outside the shock and allows an easier expansion. The energy released by the nuclear reactions during collapse also slows down the accretion and aids the shock expansion. In addition, nuclear energy generation in the postshocked matter produces up to 20% more energetic explosions. Nucleosynthesis is affected due to the different dynamic evolution of the explosion. Our results indicate that the energy generation from nuclear reactions helps to sustain late outflows from the vicinity of the proto-neutron star, synthesizing more neutron-rich species. Furthermore, we show that there are systematic discrepancies between the ejecta calculated with in situ and ex situ reaction networks. These differences stem from the intrinsic characteristics of evolving the composition in hydrodynamic simulations or calculating it with Lagrangian tracer particles. The mass fractions of some Ca, Ti, Cr, and Fe isotopes are consistently underproduced in postprocessing calculations, leading to different nucleosynthesis paths. Our results suggest that large in situ nuclear reaction networks are important for a realistic feedback of the energy generation, the neutrino heating, and a more accurate ejecta composition.
Aluminium-26 from Massive Binary Stars. III. Binary Stars up to Core Collapse and Their Impact on the Early Solar System
Authors: Brinkman Hannah E. , Doherty Carolyn , Pignatari Marco , Pols Onno , Lugaro Maria
Published: July 2023

Many of the short-lived radioactive nuclei that were present in the early solar system can be produced in massive stars. In the first paper in this series, we focused on the production of 26Al in massive binaries. In our second paper, we considered rotating single stars; two more short-lived radioactive nuclei, 36Cl and 41Ca; and the comparison to the early solar system data. In this work, we update our previous conclusions by further considering the impact of binary interactions. We used the MESA stellar evolution code with an extended nuclear network to compute massive (10–80 M
⊙), binary stars at various initial periods and solar metallicity (Z = 0.014), up to the onset of core collapse. The early solar system abundances of 26Al and 41Ca can be matched self-consistently by models with initial masses ≥25 M
⊙, while models with initial primary masses ≥35 M
⊙ can also match 36Cl. Almost none of the models provide positive net yields for 19F, while for 22Ne the net yields are positive from 30 M
⊙ and higher. This leads to an increase by a factor of approximately 4 in the amount of 22Ne produced by a stellar population of binary stars, relative to single stars. In addition, besides the impact on the stellar yields, our 10 M
⊙ primary star undergoing Case A mass transfer ends its life as a white dwarf instead of as a core-collapse supernova. This demonstrates that binary interactions can also strongly impact the evolution of stars close to the supernova boundary.
MASTER OT J030227.28+191754.5: A Dwarf Nova at a Massive Oxygen–Neon White Dwarf System?
Authors: Kimura Mariko , Kashiyama Kazumi , Shigeyama Toshikazu , Tampo Yusuke , Yamada Shinya , Enoto Teruaki
Published: July 2023

We present timing and spectral analysis results of the NICER and NuSTAR observations of the dwarf nova MASTER OT J030227.28+191754.5 during the 2021–2022 outburst. The soft X-ray component was found to be dominated by blackbody radiation with a temperature of ∼30 eV and also showed prominent oxygen and neon emission lines. The blackbody luminosity exceeded 1034 erg s−1, which is consistent with theoretical predictions, and then decreased more than an order of magnitude in 3.5 days. The inferred abundances of oxygen and neon in the optically thin coronal region surrounding the central white dwarf (WD) are several times higher than the respective solar values. Although inconclusive, the abundance enrichment may originate from the WD, indicating that it may be mainly composed of oxygen and neon. Assuming that the blackbody radiation comes from the belt-shaped boundary layer between the WD and the accretion disk, we estimated the WD radius to be (2.9 ± 1.1) × 108 cm, which corresponds to the WD mass range of 1.15–1.34 M
⊙. If the accretion continues for another ∼1 Gyr, the WD may experience an accretion-induced collapse into a neutron star and form a so-called black widow pulsar system.
The NANOGrav 12.5 yr Data Set: Bayesian Limits on Gravitational Waves from Individual Supermassive Black Hole Binaries
Authors: Arzoumanian Zaven , Baker Paul T. , Blecha Laura , Blumer Harsha , Brazier Adam , Brook Paul R. , Burke-Spolaor Sarah , Bécsy Bence , Casey-Clyde J. Andrew , Charisi Maria , Chatterjee Shami , Chen Siyuan , Cordes James M. , Cornish Neil J. , Crawford Fronefield , Cromartie H. Thankful , DeCesar Megan E. , Demorest Paul B. , Dolch Timothy , Drachler Brendan , Ellis Justin A. , Ferrara E. C. , Fiore William , Fonseca Emmanuel , Freedman Gabriel E. , Garver-Daniels Nathan , Gentile Peter A. , Glaser Joseph , Good Deborah C. , Gültekin Kayhan , Hazboun Jeffrey S. , Jennings Ross J. , Johnson Aaron D. , Jones Megan L. , Kaiser Andrew R. , Kaplan David L. , Kelley Luke Zoltan , Key Joey Shapiro , Laal Nima , Lam Michael T. , Lamb William G , W. Lazio T. Joseph , Lewandowska Natalia , Liu Tingting , Lorimer Duncan R. , Luo Jing , Lynch Ryan S. , Madison Dustin R. , McEwen Alexander , McLaughlin Maura A. , Mingarelli Chiara M. F. , Ng Cherry , Nice David J. , Ocker Stella Koch , Olum Ken D. , Pennucci Timothy T. , Pol Nihan S. , Ransom Scott M. , Ray Paul S. , Romano Joseph D. , Shapiro-Albert Brent J. , Siemens Xavier , Simon Joseph , Siwek Magdalena , Spiewak Renée , Stairs Ingrid H. , Stinebring Daniel R. , Stovall Kevin , Swiggum Joseph K. , Sydnor Jessica , Taylor Stephen R. , Turner Jacob E. , Vallisneri Michele , Vigeland Sarah J. , Wahl Haley M. , Walsh Gregory , Witt Caitlin A. , Young Olivia ,   The NANOGrav Collaboration
Published: July 2023

Pulsar timing array collaborations, such as the North American Nanohertz Observatory for Gravitational Waves (NANOGrav), are seeking to detect nanohertz gravitational waves emitted by supermassive black hole binaries formed in the aftermath of galaxy mergers. We have searched for continuous waves from individual circular supermassive black hole binaries using NANOGrav’s recent 12.5 yr data set. We created new methods to accurately model the uncertainties on pulsar distances in our analysis, and we implemented new techniques to account for a common red-noise process in pulsar timing array data sets while searching for deterministic gravitational wave signals, including continuous waves. As we found no evidence for continuous waves in our data, we placed 95% upper limits on the strain amplitude of continuous waves emitted by these sources. At our most sensitive frequency of 7.65 nHz, we placed a sky-averaged limit of h
0 < (6.82 ± 0.35) × 10−15, and h
0 < (2.66 ± 0.15) × 10−15 in our most sensitive sky location. Finally, we placed a multimessenger limit of


<
(
1.41
±
0.02
)
×

10
9

M
⊙

on the chirp mass of the supermassive black hole binary candidate 3C 66B.
Investigating Possible Binarity for GJ 229B
Authors: Howe Alex R. , Mandell Avi M. , McElwain Michael W.
Published: July 2023

GJ 229B, the first type-T brown dwarf to be discovered, has presented a tension between comparisons with evolutionary models and the larger-than-expected mass and radius values derived from spectroscopic and astrometric observations. We examine the hypothesis that GJ 229B is actually a binary substellar object by using two grid-based fits using evolutionary models to explore the range of mass ratios of the possible binary components. We find that the best-fit component values are most consistent with a roughly 2:1 binary mass ratio and an age range of 2–6 Gyr. The observed temperatures, masses, and apparent radii match expected values from evolutionary models for a binary much better than a single-object model, but more detailed observations and modeling are needed to definitively confirm the binary hypothesis.
Global and Regional IUCN Red List Assessments: 15
Authors: Orsenigo Simone , Calderisi Giulia , Cogoni Donatella , Mondoni Andrea , Nascimbene Juri , Rota Francesco , Sajeevan Thasajini , Wijayasinghe Malaka , Wellstein Camilla , Fenu Giuseppe
Published: July 2023

In this contribution, the conservation status assessment of three vascular plants are presented according to IUCN categories and criteria. It includes the assessment of Oryza rhizomatis D.A.Vaughan and Saxifraga facchinii W.D.J.Koch at a global level and Helianthemum caput-felis Boiss. at a regional level.
Some new results for $ B_1 $-matrices
Authors: Li Yan , Wang Yaqiang
Published: July 2023

The class of $ B_1 $-matrices is a subclass of $ P $-matrices and introduced as a generalization of $ B $-matrices. In this paper, we present several properties for $ B_1 $-matrices. Then, the infinity norm upper bound for the inverse of $ B_1 $-matrices is obtained. Furthermore, the error bound for the linear complementarity problem of $ B_1 $-matrices is presented. Finally, some numerical examples are given to illustrate our results.
Nonlinear generalized semi-Jordan triple derivable mappings on completely distributive commutative subspace lattice algebras
Authors: Ma Fei , Yin Min , Teng Yanhui , Ren Ganglian
Published: July 2023

In this note we proved that each nonlinear generalized semi-Jordan triple derivable mapping on completely distributive commutative subspace lattice algebras is an additive derivation.
Vision graph neural network-based neonatal identification to avoid swapping and abduction
Authors: Nelson Madhusundar , Rajendran Surendran , Alotaibi Youseef
Published: July 2023

Infant abductions from medical facilities such as neonatal switching, in which babies are given to the incorrect mother while in the hospital, are extremely uncommon. A prominent question is what we can do to safeguard newborns. A brand-new vision graph neural network (ViG) architecture was specifically created to handle this problem. Images were divided into several patches, which were then linked to create a graph by connecting their nearest neighbours to create a ViG model, which converts and communicates information between all nodes based on the graph representation of the newborn's photos taken at delivery. ViG successfully captures both local and global spatial relationships by utilizing the isotropic and pyramid structures within a vision graph neural network, providing both precise and effective identification of neonates. The ViG architecture implementation has the ability to improve the security and safety of healthcare facilities and the well-being of newborns. We compared the accuracy, recall, and precision, F1-Score, Specificity with CNN, GNN and Vision GNN of the network. In that comparison, the network has a Vision GNN accuracy of 92.65%, precision of 92.80%, F1 score of 92.27%, recall value of 92.25%, and specificity of 98.59%. The effectiveness of the ViG architecture was demonstrated using computer vision and deep learning algorithms to identify the neonatal and to avoid baby swapping and abduction.
Double circulant complementary dual codes over $ \mathbb{F}_4 $
Authors: Shoaib Hatoon
Published: July 2023

Linear codes with complementary-duals (LCD codes) are linear codes that trivially intersect with their dual (Massey, 1992). In this paper, we study double circulant codes (DC codes), which are a special class of quasi-cyclic codes, over $ \mathbb{F}_4 $ that are LCD. The main techniques used are as follows: Chinese reminder theory (CRT) decomposition in the line of (Ling et al. 2001), explicit enumeration, and asymptotics. In particular, we show that the class of codes considered here is asymptotically good.
A normalized differential sequence feature encoding method based on amino acid sequences
Authors: Zhao Xiaoman , Wang Xue , Jin Zhou , Wang Rujing
Published: July 2023

Protein interactions are the foundation of all metabolic activities of cells, such as apoptosis, the immune response, and metabolic pathways. In order to optimize the performance of protein interaction prediction, a coding method based on normalized difference sequence characteristics (NDSF) of amino acid sequences is proposed. By using the positional relationships between amino acids in the sequences and the correlation characteristics between sequence pairs, NDSF is jointly encoded. Using principal component analysis (PCA) and local linear embedding (LLE) dimensionality reduction methods, the coded 174-dimensional human protein sequence vector is extracted using sequence features. This study compares the classification performance of four ensemble learning methods (AdaBoost, Extra trees, LightGBM, XGBoost) applied to PCA and LLE features. Cross-validation and grid search methods are used to find the best combination of parameters. The results show that the accuracy of NDSF is generally higher than that of the sequence matrix-based coding method (MOS) coding method, and the loss and coding time can be greatly reduced. The bar chart of feature extraction shows that the classification accuracy is significantly higher when using the linear dimensionality reduction method, PCA, compared to the nonlinear dimensionality reduction method, LLE. After classification with XGBoost, the model accuracy reaches 99.2%, which provides the best performance among all models. This study suggests that NDSF combined with PCA and XGBoost may be an effective strategy for classifying different human protein interactions.
Exploring the Impact of Peer Mentoring on Computer-Supported Collaborative Learning among Undergraduate Students
Authors: Aderibigbe Semiyu Adejare , Alotaibi Emran , Alzouebi Khadeegha
Published: July 2023

Research indicates that peer mentoring supports students learning and emotional stability. However, its usability and impact in Computer-Supported collaborative (CSCL) learning activities that enhance students’ learning in and outside the classroom require contextual exploration. Hence, this study examined the usability and impacts of peer mentoring in CSCL among undergraduate students using a mixed-methods research approach. Data collection was conducted by administering a questionnaire with both qualitative and quantitative elements. Data analyses started with thematic coding of the nuanced texts collected through open-ended questions, and structural equation modelling (SEM) was used to analyze the quantitative data. Findings show that students have a different understanding of collaborative learning, but a common acknowledgment is that peer mentoring is beneficial in CSCL. Importantly, student views are impacted by gender, college affiliations, and CSCL experience. Drawing on the findings, we conclude that peer mentoring’s acceptability in CSCL is feasible and can affect students’ learning positively. However, it should be planned effectively and deployed based on contextual data showing students’ preference for CSCL and their peculiar need for peer mentoring.
Effects of Immersive Virtual Reality Technology on Online Learning Outcomes
Authors: Liao Yunru
Published: July 2023

In the digital information era, such information technologies (ITs) as the Internet, big data, artificial intelligence (AI), and virtual reality (VR) are changing people’s production and lifestyle. Moreover, ITs have exerted significant influences on the thinking modes and learning styles of people. On the bases of such characteristics as sensory immersion, roaming, and manipulation, immersive VR (IVR) can support learners to pursue contextualized learning, promote their embodied cognition, improve their emotional experience, and solve problems of traditional classrooms, such as poor interaction, poor contextualization, and unreal immersion. This study used existing associated research as basis in analyzing the influences of IVR factors on degree of concentration, sense of traversing, emotional engagement, and sense of enjoyment on online learning outcome. Moreover, differences in learning outcomes under different contact periods IVR technology were analyzed. Research results are as follows. The overall Cronbach’s α, KMO value, and P value of the questionnaire are 0.905, 0.870, and 0.01, respectively. Degree of concentration, emotional engagement, and sense of enjoyment of IVR technology can promote online learning outcome significantly. Contact period with IVR technology has significant influences on learning outcome at the 0.01 level (F=3.895, p=0.009). Lastly, research conclusions provide important references in exploring the complicated relationship between sense of immersion and learning outcome in IVR environment, and in improving emotional experience and knowledge transfer based on IVR technology.
Coupling Correlation between the Support of Educational Environment and the Transformation of Students’ Entrepreneurial Achievements
Authors: Wang Lijun , Qu Liping , Wang Shanshan
Published: July 2023

College students often lack entrepreneurial experience and business skills, which makes them face many difficulties in the process of starting a business, in such case, a supportive educational environment can play an important role, but current research pays little attention on the coupling correlation between the support of educational environment and the transformation of student entrepreneurs’ achievements. In fact, a thorough understanding of this coupling correlation could provide effective support for colleges and policy makers to formulate educational policies and strategies, thereby increasing the success rate of student entrepreneurs. To fill in this research blank, this paper aims to study the coupling correlation between the support of educational environment and the transformation of student entrepreneurs’ achievements. At first, a College Student Entrepreneurship (CSE) network under the support of educational environment was created, and the cooperation mode of student entrepreneurs under the support of educational environment was presented. Then, the transformation ability of student entrepreneurs’ achievements was measured based on the Stochastic Block Model (SBM), a model for measuring the coupling between the support of educational environment and the transformation of student entrepreneurs’ achievements was constructed, and the modeling steps were introduced in detail. At last, the validity of the proposed network and models was verified by experimental results.
Learning Path Recommendation of Intelligent Education Based on Cognitive Diagnosis
Authors: Lou Peijie
Published: July 2023

Many learning path recommendation methods of intelligent education have been proposed and implemented. However, many of them have problems or limitations, which may result in unsatisfactory recommendation results. Therefore, this research aimed to study the learning path recommendation method of intelligent education based on cognitive diagnosis. Combined with a cognitive diagnostic model (CDM), personalized and accurate learning paths were recommended to students. This study fully considered the multidimensional features of interaction between students and knowledge when designing the CDM, described the cognitive process, and provided a comprehensive ability modeling method based on cognitive rules. A neural matrix decomposition model was constructed, which incorporated the personality features of students’ comprehensive ability level based on cognitive rules, thus obtaining their predicted scores in various knowledge and skills learned. The model consisted of three parts, namely, the generalized matrix decomposition part, the multi-layer perceptron part and the NeuMF layer. Finally, the experimental results verified that the constructed model was effective.
A New Methodology of Knowledge Point Sequence Generation and Learning Path Recommendation by Knowledge Reasoning
Authors: Zhou Jia , Liang Dongling
Published: July 2023

Accurate knowledge point sequences and clear learning paths are the compass for learners to travel in the sea of massive knowledge, they can point out the way for learners and improve their learning experience. Generating knowledge point sequences and learning paths based on knowledge reasoning is conductive to optimizing the allocation of educational resources and improving the quality of higher education, and this has a profound influence on the reform of the entire educational field. In view of this, this study explored the generation of knowledge point sequences and the recommendation of learning paths based on knowledge reasoning. At first, the learning behavior of learners was subjected to collaborative analysis based on three aspects of knowledge points: learning frequency, learning duration, and pause/ skip frequency, and the specific method of generating subject knowledge point sequences based on the metrics of difficulty differences was given. Then, a sequence sampling method that matches the features of Entity-Relationship (ER) diagram was proposed, which enables the system to dynamically adjust the recommended knowledge points and learning paths according to learners’ learning progress with the help of biased random walks, thereby giving personalized and dynamic learning recommendations. At last, the validity of the proposed method was verified by experimental results.
Data Mining Application for the Spread of Endemic Butterfly Cenderawasih Bay using the K-Means Clustering Algorithm
Authors: Wattimena Fegie Y. , Abilliyo S. Mampioper  , Reni Koibur  , I. Nyoman G. A. Astawa  , Novaliendry Dony , Ardi Noper , Mahyuddin Nenny
Published: July 2023

The superfamily Papilionoidea day butterfly, which is endemic to the Cenderawasih Bay islands (Numfor, Supiori, Biak and Yapen), consists of 6 family species: the Papilionidae, Hesperiidae, Pieridae, Riodinidae, Lycaenidae and Nymphalidae families. This study aims to analyze the grouping of endemic butterflies of the Bay of Cendrawasih based on wings and colours in 4 Clusters, namely Numfor, Supiori, Biak and Yapen Islands, by applying the function of the K-Means Clustering algorithm data mining method. The grouping selection was carried out 7 times with the conclusion that Numfor had 13 types of Endemic Butterfly species, Biak had 7 Papuan Endemic Butterfly Species, Supiori had 9 Endemic Butterfly Species, and Yapen had 11 Endemic Butterfly Species. The analysis results were then retested in an application built using the Waterfall system development method and the PHP and MySQL programming languages. In addition to applying the K-Means Clustering algorithm for grouping endemic butterflies, the application created produces a butterfly distribution map that displays butterfly information based on family.
Mobile-Based Applications: The Legal Challenges on Data Privacy
Authors: Zirawani Baharum  , Faradina Ahmad  , Muhammad Imran Qureshi  , Nasien Dewi , Adiya M. Hasmil
Published: July 2023

The mobile-based apps used is getting popular and continued to increased. Mobile user often downloaded the apps from various sources that provided from numerous of categorization of the application included health apps. Some of apps is optional to choose, but nevertheless, there are several apps is compulsory or must-action by citizens as instructed by the government or their agency. As for that, some issues of legal challenges on data privacy kin to data security have occurred. The issues on legal challenges is more intricate for non-legal educated users with non-awareness citizens while there are government involvements. Hence, in this paper, the issues and the legal challenges on the data privacy for mobile-based application are reviewed to give awareness for both side, the users (citizens) and apps provider (government or developer). Together with that, the idea of action, such as recommendation and option to react with the issues and challenges are also presented. Several Acts (legislation) are also proposed according to the legal issues and challenges that occurred, as showed the Personal Data Protection Act (PDPA) 2010 is became as the famous act used to confront with the existing privacy legislation in mobile-based application. The suggestions and recommendations might assist citizens to keep stand with their rights on data privacy issues in mobile apps, and to the other-side, it might provide some idea be more precise when create and develop the mobile apps.
Abnormality Retrieval Method of Laboratory Surveillance Video Based on Deep Automatic Encoder
Authors: Zhang Dawei
Published: July 2023

Aiming at the problem that abnormal behavior is difficult to distinguish from normal behavior, a retrieval method for abnormal behavior of laboratory security surveillance video based on deep automatic encoder is proposed. Firstly, the fuzzy median filtering algorithm is used to reduce the noise of the collected laboratory security surveillance video, and then the YUV spatial chromaticity difference method is used to divide the foreground and background of the video, and the illumination degree in the video is determined. The diagonal model and codebook clustering idea are used to compensate for global and local lighting mutations. Finally, the preprocessed video is input into the mixture model, which is based on the deep automatic encoder and combined with the Gaussian mixture model, and the abnormal behavior retrieval results are output. The experimental results show that the proposed method has good security surveillance video preprocessing effect, large AUC, small error rate of abnormal behavior retrieval, and high operation efficiency.