bluuebunny/crossref_metadata_2025 huggingface dataset:
Designing Bakgor Bobo Cen Brand Campaign to Increase Brand Awareness on Instagram
Authors: Shannen Shannen , Tjandrawibawa Paulina
Published: June 2023

To be able to have branding that is able to maintain brand performance in this industry 4.0, the right branding strategy is needed in strengthening branding, one of which is also to increase brand awareness. Branding is something that differentiates a brand from other similar competitors. The purpose of this research journal is to guide the author's literature study review on the right branding strategy that can be executed by the Bakgor Bobo Cen brand, so as to increase brand awareness in the brand's target audience. By using the literature study review method on several national and international journals and books with the theme of tips and strategies in branding. The results showed that designing a brand campaign on Instagram can be a solution for Bakgor Bobo Cen in increasing brand awareness. In this study, the Bakgor Bobo Cen brand will use Instagram as a medium to increase awareness in the target market by utilising relevant features on Instagram with the needs of potential customers. So that if the concept of branding strategy with brand campaigns in this study can be used as direction and guidance by the Bakgor Bobo Cen brand to increase awareness of the Bakgor Bobo Cen target audience.
Voleybolcuların Başarı Algısı: Türkiye Sultanlar Ligi Örneği
Authors: AFACAN Ersin , IŞIK AFACAN Meltem
Published: June 2023

Sporcunun sporculuk yaşamında nasıl başarılı olabileceğine yönelik birçok farklı bilimsel ve felsefi taktikler vardır. Ancak sporcu için en yararlı yol, başarıya olan bakış açısını geliştirmektir. Çünkü başarının ne olduğuna dair kişisel tanımlar değişebilir. Ayrıca sporda başarılı olmanın tek bir geçerli yolu yoktur. Bir sporcu için yarar sağlayan bir yol başka sporcu için yararlı olmayabilir. Dolayısıyla bu çalışmanın amacı, 2021-2022 sezonunda Türkiye Sultanlar Liginde oynayan Türk voleybolcuların başarıya ilişkin görüş ve düşünceleri incelenmektedir. Araştırmanın çalışma grubu, kolay ulaşılabilir durum örneklemesi yöntemiyle seçilen ve araştırmaya gönüllü olarak katılan 31 sporcudan oluşmaktadır. Sporcuların başarı algısını belirlemek için veri toplama aracı olarak iki adet açık uçlu sorudan oluşan yarı yapılandırılmış görüşme formu kullanılmıştır. Görüşme sonunda toplanan veriler, içerik analizi tekniği yardımı ile yorumlanmış ve doğrudan alıntılarla desteklenerek sunulmuştur. Sonuçlar, profesyonel voleybolcuların “Başarı nedir?” sorusuna genelde hedef temalı yanıtlar verdiklerini göstermektedir. Bununla birlikte voleybolcuların geneli başarının en temel ölçütü olarak performansı ifade etmişlerdir. Bu çalışmanın bulguları, voleybolcular açısından başarının ne olduğuna dair kişisel tanımların belirlenmesinde ve başarı ölçütlerinin ortaya net olarak konulmasında yararlı olacağı düşünülmektedir. Ayrıca bu çalışmanın başarı algısı konusunda benzer çalışmalara örnek olacağı tahmin edilmektedir. Çünkü literatürde voleybolcuların başarı algısı üzerine yapılan çalışma sayısı çok azdır.
The Influence of Audit Fee, Independence, and Competency On Audit Quality
Authors: KUSMAYASARI Dewi , BILGIES Ana Fitriyatul , DAMAYANTI Damayanti , SUHARSONO Judi
Published: June 2023

This study examines the influence of audit fees, independence, and competence on audit quality in KAP Surabaya and Malang. Data was collected using a saturated sampling approach, wherein questionnaires were distributed to gather responses. The response rate for the study was 78%, with a total of 39 completed questionnaires out of the 50 distributed. The collected data was analyzed using multiple linear regression in SPSS Version 25. The findings indicate significant results. Firstly, higher audit fees positively impacted audit quality, suggesting that auditors receiving higher fees devote more time and resources to conducting thorough audits, leading to better quality outcomes. Secondly, independence had a positive and significant effect on audit quality, implying that auditors maintaining a higher level of independence demonstrate professional skepticism, objectivity, and impartiality, resulting in higher-quality audits. Thirdly, competence positively influences audit quality, indicating that auditors with more excellent technical knowledge, experience, and professional skills perform more accurate and reliable audits, thereby enhancing audit quality. These findings emphasize the importance of adequate audit fees, promoting independence, and enhancing auditor competence to ensure high-quality audits. Audit firms and regulators should consider these factors when formulating audit policies and procedures. This study provides valuable insights into the relationship between audit fees, independence, competence, and quality. By understanding these factors, stakeholders can strive to improve audit practices and standards, ultimately leading to more effective and reliable auditing processes.
Evaluation Of The Application Of A Cash Disbursement Accounting Procedure System Using A Money Change Mechanism (GU) Based On Permendagri No.77 Of 2020 At The Investmen Service And Integrated One-Stop Service In Bitung City
Authors: PANTOW Belinda , MANOSSOH Hendrik , SUWETJA I Gede
Published: June 2023

Systems aind procedures for diisbursiing caish must comply wiith aippliicaible regulaitiions. Replaice Supply Money, hereiinaifter aibbreviiaited ais (GU) iis ai replaicement for supply money thait hais been used up. The purpose of thiis study iis to evailuaite whether the caish diisbursement mechainiism (GU) baised on Permendaigrii No. 77 of 2020. The One Stop Ciity Iinvestment aind Iintegraited Serviice Serviice for Biitung Ciity iis not yet aippropriiaite. The type of reseairch used iis descriiptiive quailiitaitiive. Baised on the results of the study, iit wais found thait the aippliicaitiion of caish diisbursement aiccountiing systems aind procedures usiing the Money Chainge (GU) mechainiism ait the Iinvestment Serviice aind One-Stop Iintegraited Serviices iin Biitung Ciity iis not aiccordaince wiith Permendaigrii No. 77 iin 2020.
Investigation of Stellar Kinematics and Ionized Gas Outflows in Local (U)LIRGs
Authors: Ayubinia Ashraf , Xue Yongquan , Nguyen Le Huynh Anh , Zou Fan , Wang Shu , He Zhicheng , Kilerci Ece
Published: June 2023

We explore the properties of stellar kinematics and ionized gas in a sample of 1106 local (U)LIRGs from the AKARI telescope. We combine data from Wide-field Infrared Survey Explorer and Sloan Digital Sky Survey Data Release 13 to fit the spectral energy distribution (SED) of each source to constrain the contribution of active galactic nuclei (AGNs) to the total IR luminosity and estimate physical parameters such as stellar mass and star formation rate (SFR). We split our sample into AGNs and weak/non-AGNs. We find that our sample is considerably above the main sequence. The highest SFRs and stellar masses are associated with ULIRGs. We also fit the Hβ and Hα regions to characterize the outflows. We find that the incidence of ionized gas outflows in AGN (U)LIRGs (∼72%) is much higher than that in weak/non-AGN ones (∼39%). The AGN ULIRGs have extreme outflow velocities (up to ∼2300 km s−1) and high mass-outflow rates (up to ∼60 M
⊙ yr−1). Our results suggest that starbursts are insufficient to produce such powerful outflows. We explore the correlations of SFR and specific SFR (sSFR) with ionized gas outflows. We find that AGN hosts with the highest SFRs exhibit a negative correlation between outflow velocity and sSFR. Therefore, in AGNs containing large amounts of gas, the negative feedback scenario might be suggested.
Early Planet Formation in Embedded Disks (eDisk). I. Overview of the Program and First Results
Authors: Ohashi Nagayoshi , Tobin John J. , Jørgensen Jes K. , Takakuwa Shigehisa , Sheehan Patrick , Aikawa Yuri , Li Zhi-Yun , Looney Leslie W. , Williams Jonathan P. , Aso Yusuke , Sharma Rajeeb , Sai (Insa Choi) Jinshi , Yamato Yoshihide , Lee Jeong-Eun , Tomida Kengo , Yen Hsi-Wei , Encalada Frankie J. , Flores Christian , Gavino Sacha , Kido Miyu , Han Ilseung , Lin Zhe-Yu Daniel , Narayanan Suchitra , Phuong Nguyen Thi , Santamaría-Miranda Alejandro , Thieme Travis J. , van ’t Hoff Merel L. R. , de Gregorio-Monsalvo Itziar , Koch Patrick M. , Kwon Woojin , Lai Shih-Ping , Lee Chang Won , Plunkett Adele , Saigo Kazuya , Hirano Shingo , Lam Ka Ho , Mori Shoji
Published: June 2023

We present an overview of the Large Program, “Early Planet Formation in Embedded Disks (eDisk),” conducted with the Atacama Large Millimeter/submillimeter Array (ALMA). The ubiquitous detections of substructures, particularly rings and gaps, in protoplanetary disks around T Tauri stars raise the possibility that at least some planet formation may have already started during the embedded stages of star formation. In order to address exactly how and when planet formation is initiated, the program focuses on searching for substructures in disks around 12 Class 0 and 7 Class I protostars in nearby (<200 pc) star-forming regions through 1.3 mm continuum observations at a resolution of ∼7 au (0.″04). The initial results show that the continuum emission, mostly arising from dust disks around the sample protostars, has relatively few distinctive substructures, such as rings and spirals, in marked contrast to Class II disks. The dramatic difference may suggest that substructures quickly develop in disks when the systems evolve from protostars to Class II sources, or alternatively that high optical depth of the continuum emission could obscure internal structures. Kinematic information obtained through CO isotopologue lines and other lines reveals the presence of Keplerian disks around protostars, providing us with crucial physical parameters, in particular, the dynamical mass of the central protostars. We describe the background of the eDisk program, the sample selection and their ALMA observations, and the data reduction, and we also highlight representative first-look results.
Early Planet Formation in Embedded Disks (eDisk). II. Limited Dust Settling and Prominent Snow Surfaces in the Edge-on Class I Disk IRAS 04302+2247
Authors: Lin Zhe-Yu Daniel , Li Zhi-Yun , Tobin John J. , Ohashi Nagayoshi , Jørgensen Jes Kristian , Looney Leslie W. , Aso Yusuke , Takakuwa Shigehisa , Aikawa Yuri , van’t Hoff Merel L. R. , de Gregorio-Monsalvo Itziar , Encalada Frankie J. , Flores Christian , Gavino Sacha , Han Ilseung , Kido Miyu , Koch Patrick M. , Kwon Woojin , Lai Shih-Ping , Lee Chang Won , Lee Jeong-Eun , Phuong Nguyen Thi , Sai (Insa Choi) Jinshi , Sharma Rajeeb , Sheehan Patrick , Thieme Travis J. , Williams Jonathan P. , Yamato Yoshihide , Yen Hsi-Wei
Published: June 2023

While dust disks around optically visible, Class II protostars are found to be vertically thin, when and how dust settles to the midplane are unclear. As part of the Atacama Large Millimeter/submillimeter Array large program, Early Planet Formation in Embedded Disks, we analyze the edge-on, embedded, Class I protostar IRAS 04302+2247, also nicknamed the “Butterfly Star.” With a resolution of 0.″05 (8 au), the 1.3 mm continuum shows an asymmetry along the minor axis that is evidence of an optically thick and geometrically thick disk viewed nearly edge-on. There is no evidence of rings and gaps, which could be due to the lack of radial substructure or the highly inclined and optically thick view. With 0.″1 (16 au) resolution, we resolve the 2D snow surfaces, i.e., the boundary region between freeze-out and sublimation, for 12CO J = 2–1, 13CO J = 2–1, C18O J = 2–1, H
2CO J = 30,3–20,2, and SO J = 65–54, and constrain the CO midplane snow line to ∼130 au. We find Keplerian rotation around a protostar of 1.6 ± 0.4 M
⊙ using C18O. Through forward ray-tracing using RADMC-3D, we find that the dust scale height is ∼6 au at a radius of 100 au from the central star and is comparable to the gas pressure scale height. The results suggest that the dust of this Class I source has yet to vertically settle significantly.
Life beyond 30: Probing the −20 < M
UV < −17 Luminosity Function at 8 < z < 13 with the NIRCam Parallel Field of the MIRI Deep Survey
Authors: Pérez-González Pablo G. , Costantin Luca , Langeroodi Danial , Rinaldi Pierluigi , Annunziatella Marianna , Ilbert Olivier , Colina Luis , Nørgaard-Nielsen Hans Ulrik , Greve Thomas R. , Östlin Göran , Wright Gillian , Alonso-Herrero Almudena , Álvarez-Márquez Javier , Caputi Karina I. , Eckart Andreas , Le Fèvre Olivier , Labiano Álvaro , García-Marín Macarena , Hjorth Jens , Kendrew Sarah , Pye John P. , Tikkanen Tuomo , van der Werf Paul , Walter Fabian , Ward Martin , Bik Arjan , Boogaard Leindert , Bosman Sarah E. I. , Gómez Alejandro Crespo , Gillman Steven , Iani Edoardo , Jermann Iris , Melinder Jens , Meyer Romain A. , Moutard Thibaud , van Dishoek Ewine , Henning Thomas , Lagage Pierre-Olivier , Guedel Manuel , Peissker Florian , Ray Tom , Vandenbussche Bart , García-Argumánez Ángela , María Mérida Rosa
Published: June 2023

We present the ultraviolet luminosity function and an estimate of the cosmic star formation rate density at 8 < z < 13 derived from deep NIRCam observations taken in parallel with the MIRI Deep Survey of the Hubble Ultra Deep Field (HUDF), NIRCam covering the parallel field 2. Our deep (40 hr) NIRCam observations reach an F277W magnitude of 30.8 (5σ), more than 2 mag deeper than JWST public data sets already analyzed to find high-redshift galaxies. We select a sample of 44 z > 8 galaxy candidates based on their dropout nature in the F115W and/or F150W filters, a high probability for their photometric redshifts, estimated with three different codes, being at z > 8, good fits based on χ
2 calculations, and predominant solutions compared to z < 8 alternatives. We find mild evolution in the luminosity function from z ∼ 13 to z ∼ 8, i.e., only a small increase in the average number density of ∼0.2 dex, while the faint-end slope and absolute magnitude of the knee remain approximately constant, with values α = − 2.2 ± 0.1, and M
* = − 20.8 ± 0.2 mag. Comparing our results with the predictions of state-of-the-art galaxy evolution models, we find two main results: (1) a slower increase with time in the cosmic star formation rate density compared to a steeper rise predicted by models; (2) nearly a factor of 10 higher star formation activity concentrated in scales around 2 kpc in galaxies with stellar masses ∼108
M
⊙ during the first 350 Myr of the universe, z ∼ 12, with models matching better the luminosity density observational estimations ∼150 Myr later, by z ∼ 9.
First observations of Rumina paivae Lowe, 1861 (Mollusca, Gastropoda) in the south-east of France, based on taxonomic clarifications
Authors: Aureglia Louis , Guy Jean-Baptiste , Deschamps-Cottin Magali , Vila Bruno
Published: June 2023

Amongst the genus Rumina, R. paivae was decribed from North Africa for the first time by Lowe in 1861 on the basis of a limited number of samples. During the 19th and 20th centuries, it was described several times, under different names and different ranks leading to a taxonomic imbroglio before being forgotten. In 2002, Mienis rehabilitated R. paivae, but Prevot et al. (2013, 2014) considered it as a large phenotype of R. decollata Linnaeus (1758) on the basis of genetic and anatomical studies.

In this study, we present morphological and anatomical comparisons and differences between two groups of shells collected in France and considered as R. decollata. Using seven morphological characters related to the size and one to the microscopic sculptures of the shell and two related to the eggs and the colours of the morphs, we attribute these two groups to two morphologically described species: R. paivae and R. decollata. We propose a way to easily distinguish them from each other. With regard to their distribution, morphology and genetics, we discuss their relative systematic position. Moreover, in this study, we report for the first time R. paivae, a given north African taxa, in the south-ast of France, in Marseille.
Halyomorpha halys and its egg parasitoids Trissolcus japonicus and T. mitsukurii: the geographic dimension of the interaction
Authors: Tortorici Francesco , Bombi Pierluigi , Loru Laura , Mele Alberto , Moraglio Silvia Teresa , Scaccini Davide , Pozzebon Alberto , Pantaleoni Roberto Antonio , Tavella Luciana
Published: June 2023

Halyomorpha halys(Stål) (Hemiptera, Pentatomidae) was accidentally introduced to North America and Europe, becoming a key pest of many important crops. In its native range, it is attacked by egg parasitoids, includingTrissolcus japonicus(Ashmead), considered to be the main species, andT. mitsukurii(Ashmead) (Hymenoptera, Scelionidae).Trissolcus japonicuswas detected in North America in 2014 and Europe in 2017, whileT. mitsukuriiwas detected in Australia in the early 20thcentury and in Europe in 2016. Both species now appear established in the new areas. The present study used the MaxEnt algorithm to clarify the geographic dimension of the potential interaction betweenH. halysand these two parasitoid species, and to indicate where the release of one or the other parasitoid species is more likely to be effective. We found that the suitability for the two parasitoids overlaps theH. halysnative range completely. In invaded areas,T. japonicusshowed higher potential habitat suitability at the global scale, compared toT. mitsukurii, and also higher potential suitability at lower latitudes at continental and national scales. These results can substantially improve the effectiveness of biological control againstH. halys, by targeting the releases of parasitoids to the areas where each species is most likely to succeed.
School-based Sexuality Education Curricula: Are Parents Supportive?
Authors: Yuodeshko Viktoriya I.
Published: June 2023

This paper discusses the findings of a study on the attitudes of Belarusian parents with school-aged children towards school-based sexuality education programs. The study aimed to measure parental support for comprehensive sexuality education (CSE) and its individual components, identify the topics and age ranges approved by parents, and determine which course characteristics are important to them. Descriptive statistics and binary logistic regression were used to evaluate the factors that influence parental support for introducing sexuality education in schools.

The study found that a fairly high share of 60.6% of parents were supportive of the introduction of CSE, despite low satisfaction and awareness of the current information presented in schools. Parents approved a median age of 13.3 years as the minimum age for CSE curriculum. However, topics such as safe use of cell phones, computers, the Internet, and social media; psychological pressure and violence; peer bullying; confronting peers; sources of help; relationships, love, friendship, parenting, and family were considered permissible for earlier age ranges.

The study found that parental support to school-based sexuality education is influenced by several factors. These include parents’ normative ideas about the balance of responsibility between family and school in educating children and adolescents about sexuality, the level of awareness of and satisfaction with available information on sexual development and health in the school curriculum, whether parents have a college degree, parents’ personal experiences in having intimate conversations with their children, and any difficulties they may encounter in such communication. The paper offers recommendations for a CSE course architecture that is relevant to the context of Belarus and meets parental expectations, as well as on perspectives for advancing sexuality education in Belarus.
The ﻿effect of the removal of regional anti-COVID restrictive measures on the dynamics of applications for unemployment benefits in Russia
Authors: Suchkova Olga V. , Stavniychuk Anna Y. , Kalashnov Georgy Y. , Osavolyuk Alexandra A.
Published: June 2023

This paper assesses changes in the dynamics of applications for unemployment benefits in response to the abolition of regional restrictive measures during the first wave of COVID-19 spread in Russia. This assessment is interesting from the perspective of developing anti-crisis support measures for the population. The assessment is based on ﻿weekly-regional panel data using the ﻿staggered difference-in-differences method. ﻿After the lifting of restrictive measures, the number of new applications for unemployment benefits does not decrease significantly. The result remains robust when an alternative measure of the stringency of restrictions is used, such as an indicator for the validity period of digital passes instead of data on the stages of lifting restrictions. A comparison of official data on the effect of restrictive measures with the Yandex self-isolation index is provided.
Taxonomic review of Kaloplocamus from the Yellow Sea, China with the description of a new species (Nudibranchia, Doridina, Polyceridae)
Authors: Wei Jingcheng , Kong Lingfeng
Published: June 2023

Species of Kaloplocamus Bergh, 1880 are enigmatic Nudibranchia sea slugs, and only two valid species are reported in the northwestern Pacific. Kaloplocamus japonicus (Bergh, 1880) was initially described based on alcohol-fixed specimens. In the latest revision of Kaloplocamus, it was synonymized with Kaloplocamus ramosus (Cantraine, 1835). Recently, several nudibranchs were collected from Tianheng, Shandong Province, China, and one of them is identified as an undescribed species described here as Kaloplocamus albopunctatussp. nov. based on integrated approaches incorporating morphological observations, internal anatomy, and phylogenetic analyses of two mitochondrial (COI, 16S rRNA) genes. The other species is identified as K. japonicus Bergh, 1880 based on the anatomy of the reproductive system. The new species K. albopunctatussp. nov. is similar to K. ramosus in having a bright orange-red color pattern but differs significantly in the structure of appendages and reproductive system. Kaloplocamus japonicus can be easily distinguished from other Kaloplocamus species by its translucent, white-pink coloration and unique features of the female reproductive organ. Both species are supported as distinct species in all molecular analyses. The phylogenetic analyses propose a new estimate of the relationship between Kaloplocamus and Plocamopherus, and the evolution of bioluminescence within Triophinae is discussed. Our results also suggest cryptic biodiversity within the K. ramosus species complex.
Gérer la pénurie ou éviter le gaspillage ? Le cas des infrastructures et du matériel ferroviaires en Espagne, 1936-vers 1960
Authors: Castro Rafael , Cayón Francisco
Published: June 2023

Peut-on trouver des « germes » d’économie circulaire avant la fin du xx e  siècle ? L’historiographie nous montre que les guerres sont, sûrement, les périodes où se réunissent, le plus souvent, les conditions nécessaires pour voir ceux-ci bourgeonner. En général, la situation de pénurie rend essentielle l’adaptation du modèle productif aux nouvelles conditions. Mais de quelle manière ? Quel rôle joue la circularité dans cette adaptation ? Ces changements perdurent-ils dans le temps ? Cet article examine un cas particulier de guerre ainsi que ses suites – la Guerre Civile espagnole (1936-1939) et le Premier franquisme (1939-1959) – en se focalisant sur le secteur des chemins de fer. Notre recherche tente de reconstituer la manière dont les entreprises ferroviaires et l’État ont géré leurs ressources limitées et mis en œuvre certains éléments liés à l’économie circulaire presque soixante ans avant que ce concept n’apparaisse. Pour ce faire, nous analysons, dans un premier temps, les programmes de recyclage de matériel et de récupération des déchets des différentes compagnies pendant la guerre. Dans une deuxième partie, une fois la guerre finie, nous examinons le cas particulier d’une des principales entreprises d’infrastructures ferroviaires des années 1950 et 1960, Ferrovial, dont le succès provient, en partie, de l’introduction de certains éléments de circularité dans sa gestion. En reconstruisant ces deux études de cas, nous mettons en lumière les liens historiques entre pénurie et économie circulaire.
Assessment of the effect of small additions of some rare earth elements on the structure and mechanical properties of castings from hypereutectic chromium white irons
Authors: Panichkin Aleksander , Uskenbayeva Alma , Kenzhegulov Aidar , Mamaeva Axaule , Imbarova Akerke , Kshibekova Balzhan , Alibekov Zhassulan , Nurhadiyanto Didik , Yunita Isti
Published: June 2023

Article considers the influence of additions of rare earth elements such as Sm, La, Ce, Nd, and Y on the structure and properties of hypereutectic high-chromium white cast iron of grade G-X300CrMo27-2. To obtain an increased content of carbides in the studied cast iron samples, the carbon content was 3.75–3.9 and 4.1–4.2 wt%. The amount of rare earth elements additives added to the melt is 0.2% by weight. Data were obtained on the effect of overheating and cooling rate in the crystallization interval on the effect of rare earth additives, the structure and properties of white cast iron castings are given. According to the results of the microprobe analysis, it was shown that, under the chosen crystallization conditions, Sm, La, and Ce can form solid solutions with primary and eutectic carbides (FeCr)7C3. La and Ce form solid solutions with austenite. Nd and Y do not dissolve in iron chromium phases. All listed rare earth elements form phosphides and oxyphosphides. Experimental data are presented on the effect of rare earth elements on the size of primary (FeCr)7C3 carbides and a hypothesis is proposed on the effect of rare earth elements on the crystallization process of hypereutectic chromium white cast irons. Experimental data are presented on the effect of REE additives on the microhardness of phases, hardness, strength, and resistance to abrasive wear of cast iron castings. It was found that the introduction of these additives into hypereutectic chromium white cast iron does not contribute to the modification of the structure and leads to an increase in the size of primary crystals, as well as a decrease in their mechanical properties. However, the addition of Y increases the abrasive wear resistance, but reduces the strength of castings made from such white cast iron.
Uniform boundedness results of solutions to mixed local and nonlocal elliptic operator
Authors: Zha Xicuo , Huang Shuibo , Tian Qiaoyu
Published: June 2023

In this paper, by the Stampacchia method, we consider the boundedness of positive solutions to the following mixed local and nonlocal quasilinear elliptic operator

   \begin{document}$ \begin{align*} \left\{\begin{array}{rl} -\Delta_{p}u+(-\Delta)_{p}^su = f(x)u^{\gamma},&x\in\Omega,\\ u = 0,\; \; \; \; \; \; \; \; &x\in \mathbb{R}^{N}\setminus\Omega, \end{array} \right. \end{align*} $\end{document}

where $ s\in(0, 1) $, $ 1 < p < N $, $ f\in L^{m}(\Omega) $ with $ m > \frac{Np}{p(s+p-1)-\gamma(N-sp)} $, $ 0\leqslant\gamma < p_s^*-1 $, $ p_s^{*} = \frac{Np}{N-sp} $ is the critical Sobolev exponent.
Multi-label feature selection based on HSIC and sparrow search algorithm
Authors: Wang Tinghua , Zhou Huiying , Liu Hanming
Published: June 2023

Feature selection has always been an important topic in machine learning and data mining. In multi-label learning tasks, each sample in the dataset is associated with multiple labels, and labels are usually related to each other. At the same time, multi-label learning has the problem of "curse of dimensionality". Feature selection therefore becomes a difficult task. To solve this problem, this paper proposes a multi-label feature selection method based on the Hilbert-Schmidt independence criterion (HSIC) and sparrow search algorithm (SSA). It uses SSA for feature search and HSIC as feature selection criterion to describe the dependence between features and all labels, so as to select the optimal feature subset. Experimental results demonstrate the effectiveness of the proposed method.
EXTERNALISING BEHAVIOUR PROBLEMS IN ADOLESCENCE PREDICTED BY PARENTAL MONITORING, PRACTICES AND ATTACHMENT: EXPLORING THE MODERATING ROLE OF GENDER
Authors: Kovačević Lepojević Marina , Mijatović Luka , Gutvjan Nikoleta
Published: June 2023

Research suggests the differences between parenting boys and girls related to externalising behaviour problems. Self-reported measures were used on a sample of 507 Belgrade secondary school students (42.1% male) to examine the moderating effect of gender on the relationship of parental monitoring (the Scale of Parental Monitoring), parental attachment (the Inventory of Parents and Peer Attachment, IPPA), and parental practice (the Alabama Parenting Questionnaire) with externalising problems (aggressive and rule-breaking behaviour) (ASEBA, YSR). The research results show gender differences in rule-breaking behaviour, externalising problems and some parenting variables. Hierarchical regression analyses revealed significant predictors of aggressive behaviour, rule-breaking behaviour and externalising problems, whereby poor monitoring displayed the strongest relations with all of the criteria. The moderating effect of gender was identified in explaining the links between communication with the mother, positive parenting and trust in the father with rule-breaking behaviour. The research results were discussed in the context of the protective relationship in the father-son and mother-daughter dyads for rule-breaking behaviour. The practical implications of differentiation between the relevance of mothers’ and fathers’ parenting for adolescent adjustment in terms of gender are provided. Key words parenting, externalising problems, gender
Les femmes polonaises « victimes potentielles » de l’inaction du juge européen face à la restriction du droit à l’avortement en Pologne
Authors: Boisgontier Audrey
Published: June 2023

Le 16 mai 2023, la Cour européenne des droits de l’Homme rendait une décision d’irrecevabilité à propos de huit requêtes destinées à dénoncer la restriction du droit à l’avortement en Pologne. En effet, depuis une décision du tribunal constitutionnel polonais de 2020, il est désormais interdit d’avoir recours à une interruption de grossesse en cas de malformation ou de maladie grave du fœtus. Malgré une interdiction quasi de facto du droit à l’avortement, le juge européen se contente de constater que les requérantes ne sont pas des « victimes potentielles » de ce nouveau cadre législatif, et conclut ainsi à l’irrecevabilité de l’ensemble des requêtes. Par cette appréciation in abstracto de la situation à laquelle sont confrontées les femmes polonaises, la Cour européenne persiste à écarter le droit à l’avortement des droits fondamentaux protégés par la Convention.
Cognitive Cardiac Rehabilitation Using IoT and AI Tools
Authors: Bhowmick Parijat , Das Sima
Published: June 2023

Cognitive cardiac rehabilitation is an essential component of cardiac care, which aims to improve the mental and emotional well-being of patients with cardiovascular disease. Traditional rehabilitation methods involve in-person sessions with healthcare professionals, which may be limited by geographic distance, scheduling conflicts, and costs. However, with recent advancements in the Internet of Things (IoT) and Artificial Intelligence (AI) technologies, it is now possible to provide cardiac rehabilitation
Predictive Analysis of Heart Disease Using Machine Learning Algorithms
Authors: Modak Subrata , Ghosh Rajesh Kumar , Sarkar Dhrubasish
Published: June 2023

Early prediction of cardiac arrest is one of the most challenging jobs in medical science. It takes a long time to figure out the exact causes behind it. Approximately one human dies per minute because of heart disease. Data analysis plays a vital part in handling huge amounts of healthcare data. In order to decrease the number of deaths from heart diseases, efficient detection techniques have to be used. This chapter describes the chances of heart disease and classifies a patient's risk level by implementing different classification algorithms such as K-Nearest neighbour, support vector machine, Naïve Bayes, random forest and a multilayer perception. Artificial neural network optimized by particle swarm optimization (PSO) are combined with ant colony optimization (ACO) approaches. Thus, this chapter presents a comparative study by analysing the performance of different machine learning algorithms. The trial results verify that random forest algorithm has achieved the highest accuracy of 90.16% compared to other ML algorithms implemented.
Application of Machine Learning Algorithms for Automatic Detection of Risk in Heart Disease
Authors: Gon Anudeepa , Hazra Sudipta , Chatterjee Siddhartha , Ghosh Anup Kumar
Published: June 2023

The main cause of death worldwide is heart disease, emphasizing the need for accurate risk prediction models to recognise those who are at high risk. In this study, we propose an automated approach using artificial intelligence to forecast the likelihood of developing heart disease. The dataset consists of various clinical and demographic features, including blood pressure, cholesterol levels, age, gender, and exercise habits. We evaluate the performance of numerous machine learning algorithms, such as neural networks, logistic regression, support vector machines, and random forests, in predicting the likelihood of heart disease. Our results demonstrate that automated learning techniques can effectively determine the likelihood of cardiac disease with high accuracy, precision, and recall. Furthermore, we conduct analysis feature importance to the risk prediction model can determine which factors have the greatest impact. The automated risk prediction system can provide early detection and intervention strategies for individuals at high risk, enabling proactive healthcare management and reducing the burden of heart disease. This research showcases the potential of machine learning algorithms in improving heart disease risk assessment and guiding personalized preventive measures. Machine learning which is employed in worldwide in different industries. In the healthcare industry, there are no exceptions. Determining whether or not there will be heart problems, abnormalities and other disorders can be highly dependent on machine learning. For the purpose of predicting probable heart conditions in humans, we are creating machine learning algorithms. In our work, We contrast the effectiveness of several classifiers, which includs Naive Bayes, Decision Tree, Logistic Regression, Random Forest, SVM. Finally, we evaluate the effectiveness of the suggested classifiers, including the more accurate Ada-boost and XG-boost. Early detection of heart disease in high-risk persons is essential for assisting them in deciding whether to alter their lifestyle, which reduces consequences. Medical data's hidden patterns may be exploited to diagnose health issues.
Cyber Threats in Agriculture and the Food Industry
Authors: Verma Harish Chandra , Srivastava Saurabh , Ahmed Tasneem , Usmani Nayyar Ali
Published: June 2023

A cyber threat is a harmful act meant to steal, corrupt, or undermine an organization's digital stability. At present cyber threats in agriculture and food industry is a rising concern because farming is becoming more dependent on computers and Internet access. The attacks that fall under this category include denial of service attacks, computer viruses. Growing food demand and shortage of skilled labours have necessitated for the adoption of digital agriculture. The major challenge is to prevent it from cyber threats for successful implementation. As ransomware hackers are increasingly likely to target food supply chain, the food industry is experiencing an increase in cyber-security threats, which might result in business interruptions. Due to the fragile nature of the food supply, the entire food sector needs to be protected . In this chapter, major issue on cyber threats, challenges of cyber-security, some notable cyber-attacks, and cyber-security solutions for the food/agriculture industry are discussed in detail.
Forensics Analysis of NTFS File Systems
Authors: Sondarva Kumarbhai Shamjibhai , Kumar Adarsh , Gohil Bhavesh N. , Patel Sankita J. , Rajvansh Sarang , Shah Ramya T.
Published: June 2023

The internet and computers are reaching everywhere, and all are getting connected through it. Users are utilizing computers to make life easier and work faster. At the same time, many attacks and instances of cybercrime have happened. Therefore, digital forensics is necessary and plays a crucial role. NTFS is one of the most popular file systems used by the Windows operating system, and this chapter provides information for forensic analysis of NTFS file system. This chapter describes digital forensics, stages of digital forensics, and types of digital forensics. NTFS is discussed in brief along with the master file table (MFT). In the same section, it also discusses the method to detect the hidden data in the boot sector, analysis of registry, prefetch, shellbags, and web browsers. They have discussed the collection of volatile and non-volatile data. It also provides the artifacts which an investigator must be seeking, along with the tools used to collect and analyze them and strategies used for investigation and analysis. Data recovery and file carving are also discussed.
Dynamic Application of Unmanned Aerial Vehicles for Analyzing the Growth of Crops and Weeds for Precision Agriculture
Authors: Daniel Lawrence I. , Vijayakumar R. , Agnishwar J.
Published: June 2023

The resource that the global economy most heavily depends on is agricultural productivity. Nowadays, drones are widely used in a variety of civic applications, including agriculture. However, the aim of this work is to provide an overview of how unmanned aerial vehicles are used in agriculture fields. A development in drone technology for agricultural events can restructure the farm sector to become dynamic and intelligent rather than static and manual. Precision agriculture can be made more effective with the deployment of drones integrated with the proper camera, sensors, and integrating modules. The two main forces behind agriculture automation are precision agriculture and wireless sensor network. Drones, automation, and spectral cameras are all combined to increase the possibilities of managing crop yield and weed issues more effectively. The best design concept and analysis of an autonomous agricultural crop and weed management UAV are discussed. In order to meet the increasing need for food over the past few decades, farming practices have undergone a significant evolution.
Where Are We and What Should We Do in Cleaner Production Transformation?
Authors: Büyükselçuk Elif Çaloğlu
Published: June 2023

Until recently, production models developed according to market conditions focused on reducing costs and increasing profitability at the expense of the destruction of natural resources and the deterioration of ecological balance and human health. However, today, with the effects of the deterioration in the ecosystem reaching sensible dimensions and being accepted as a global threat, a new production approach is needed. Due to environmental pressures, new markets and scarce resources, development, and economic growth are being tried to be redefined. Traditional production methods and environmental technologies are no longer sufficient to provide resource efficiency and increase environmental performance. Therefore, the need for new systems, processes and technologies has arisen for the restructuring of the industry and the creation of green business models. In this chapter, it is discussed how the cleaner production approach will contribute to this transformation, considering the green transformation efforts in question and considering the current situation of the Turkish industry.
Greener Economy for Sustainable Development Through AI Intervention
Authors: Pradhan Prajnya Paramita , Malia Abhiraj , Das Biswajit , Bisoyi Bhubaneswari , Satpathy Ipseeta
Published: June 2023

This research chapter deals with understanding the concept of the sustainable ecosystem through the development of a greener economy, and managing the environment for socio-eco environmental growth. The chapter introspects to understand the implication of AI intervention for an eco-friendly economy. It's an exploration into the faces of inclusive growth and equitable equality in life betting natural disasters and environmental degradation towards a greener economy. It explores the cause and effect of climate change for promoting sustainable consumption and production growth and exploration of the potential of AI. The research essentially reviews, analysis, and explores qualitatively and quantitatively the concern of ensuring the consumption of sustainable order through a pattern of production under the ambit of SDG 17. Eventually, it will identify the essential critical factors that can combat the obstacle to greener economy for sustainable consumption by eradicating the restraining forces and measuring barriers that the producer and the consumer encounter towards sustainable peace.
Industry 4.0, Sustainable Manufacturing, Circular Economy, and Sustainable Business Models for Sustainable Development
Authors: Tiwari Saurabh , Goel Richa
Published: June 2023

Current international issues include the emergence and application of Industry 4.0 (I4.0), a cutting-edge manufacturing system powered by information technology (IT), as well as the development of a sustainable society. The implications for sustainable development (SD) from the perspectives of sustainable manufacturing (SM), sustainable business models (SBM), and the circular economy (CE) have received a lot of attention. I4.0 adoption and implementation, sustainable supply chains, and smart factories are frequently the subjects of studies on sustainable manufacturing. Two recently developed research areas that concentrate on I4.0 adoption and implementation as well as sustainable supply chains are the circular economy and sustainable business models. This chapter combines recent research developments in the disciplines of I4.0 and sustainability with the aid of the literature on the CE, SM, and SBM.
The Dynamics of Cognition Process of Micro, Small, and Medium Enterprises (MSMEs)
Authors: Mahmood Athar , Seth Manisha
Published: June 2023

Recent economic slowdown and subsequent bounce back has translated into different learnings for organizations. This article attempts to understand the various factors at work that have defined the cognition process of small and micro level enterprises and their readiness to adapt to new situation(s). A comprehensive review of literature has helped identify certain factors that were inculcated into a questionnaire administered on 50 micro and small Indian business enterprises from where the final variables have been identified. The key conclusions show a mix of factors, five in number, which have been grouped under the broad headings of external and internal variables. The flexibility to acquire new knowledge appears to be key for sustainability, among the factors and variables studied. Another aspect is the size of an organization has little role to play in cognition process, and its flexibility to adapt to new situations for survival and growth.
Trend-Aware Data Imputation Based on Generative Adversarial Network for Time Series
Authors: Li Han , Liu Zhenxiong , Niu Jixiang , Yang Zhongguo , Ali Sikandar
Published: June 2023

To solve the problems of generative adversarial network (GAN)-based imputation method for time series, which are ignoring the implied trends in data and using multi-stage training that may lead to high training complexity, this article proposes a trend-aware data imputation method based on GAN (TrendGAN). It implements an end-to-end training using de-noising auto-encoder (DAE). It also uses bidirectional gated recurrent unit (Bi-GRU) in the generator model to consider the bi-directional characteristics and supplement the features lost by de-noising auto-encoder and improves the discriminator's ability using Bi-GRU and hint vector. The authors conducted experiments on four real datasets. The results showed that all components introduced into the method contribute to enhancing the imputation accuracy, and the MSE values of TrendGAN are much lower than those of baseline methods when dealing with time series with random and continuous missing patterns. That is, TrendGAN is suitable for data imputation in complex scenarios with two missing patterns coexist, such as electric power and transportation.
Sinhala Inscription Character Recognition Model using Deep Learning Technologies
Authors: Ruwanmini Shashika , Dias Kapila , Niluckshini Clera , Nandasara Terrance
Published: June 2023

Nowadays archaeology experts put huge effort into extracting meaningful information manually from inscriptions. They take at least one month to identify a character. Characters have evolved into different shapes over the centuries. Archeology experts analyze all these shapes one by one to recognize a character. Reading inscriptions directly using manual procedure would be time-consuming and inefficient due to lack of inconsistency. Therefore, it is required to develop a modern technological solution to recognize ancient Sinhala inscription characters. With the purpose of that, this research mainly focuses on developing a solution using Optical Character Recognition module with information retrieval and storing functionality to recognize ancient Sinhala inscription characters which were mainly used in the century from 10 A.D TO 12 A.D. GIS techniques are used to present a map for inscription site tracking features that facilitate users to visit the locations of inscriptions. Mainly three OCR solutions were developed based on template matching, Artificial Neural Networks and Convolutional Neural Network separately. After evaluating each OCR solution, the best- resulted OCR solution was further implemented to incorporate into the Ancient Sinhala inscription character recognition system.
An elderly man presenting with symptoms suggestive of Dhat syndrome
Authors: Alles P. S. , Akurana C. , Amarakoon D. L. U. , Rohanachandra Y. M.
Published: June 2023

Dhat syndrome is a culture-bound syndrome that has been reported among males in South Asian countries who are generally young, single or recently married, and this condition is known to be associated with prominent anxiety and depressive symptoms. We present an older male who presented with symptoms suggestive of Dhat syndrome with associated significant depressive symptomatology.
Concerns with using Python in Machine Learning Flight Critical Applications
Authors:   DEVCOM AvMC, Carter H. ,   Modern Technology Solutions Inc. (MTSI), Rupert Jason , Chan Alexander , Vinegar Chris
Published: June 2023

Python is a programming language that is proving irresistible to the Machine Learning development community. The characteristics that make it irresistible may not be well suited for flight critical applications, e.g., Python is an interpreted programming language reliant upon a virtual machine to execute bytecode. Programming languages used in flight critical applications have higher assurance expectations than non-flight critical applications. For aviation applications, Python may be appropriate for the development of Machine Learning models, but Python does not appear to be appropriate for the implementation of those Machine Learning models for deployment on flight critical applications. This paper explores concerns for using Python in those applications and offers potential courses of action to alleviate these concerns: (1) certify/qualify/mature Python, (2) transition from development in Python to implementation in a certified/qualified/maturity programming language, or (3) development and implementation in an environment with certification/qualification/maturity pedigree.