bluuebunny/crossref_metadata_2025 huggingface dataset:
Multifunctional plasmonic gates using the effect of voltage on the surface plasmons frequency change
Authors: jafargholikhani fatemeh , Kashaninia Alireza , Sabbaghi-Nadooshan Reza
Published: March 2024

Considering the benefits of plasmonic technology in reducing the scattering limit on bends and low losses, as well as the small size of the element, the development of this technology has accelerated. In this paper, the effect of voltage application on changing the frequency of surface plasmons is investigated. By applying an external voltage to the metal plates and creating a magnetic field, the density of the electrons on the metal surface changes; thus, surface plasmons resonance frequency shifts. To this end, a multifunctional plasmonic gate with a dimension of 95 nm × 95 nm was designed and
simulated to evaluate this effect. This structure is suitable for use as AND, NOR, NOT, XOR, and NAND gates. The contrast ratio between the change of state from logic "0" to logic "1" is approximately 29 dB, and the transfer ratio (transmittance ratio) of output in logic "1" is over 85%. The proposed device has low dimensions, a high contrast ratio, and a high transmittance ratio. This device uses four gates: AND, NOR, NOT, XOR, and NAND, which can be achieved in plasmonic integrated circuits with the wavelength division multiplexing (WDM) technique.
Relevance of Comet Assay and Phosphorylated-Hsp90α in Cancer Patients’ Peripheral Blood Leukocytes as Tools to Assess Cisplatin-based Chemotherapy Clinical Response and Disease Outcome
Authors: Sottile Mayra L. , Gómez Laura C. , Redondo Analía , Ibarra Jorge , García María B. , Gonzalez Lucía , Vargas-Roig Laura M. , Nadin Silvina B.
Published: March 2024

Cisplatin (cPt) is a commonly used treatment for solid tumors. The main target of its cytotoxicity is the DNA molecule, which makes the DNA damage response (DDR) crucial for cPt-based chemotherapy. Therefore, it is essential to identify biomarkers that can accurately predict the individual clinical response and prognosis. Our goal was to assess the usefulness of alkaline comet assay and immunocytochemical staining of phosphorylated Hsp90α (p-Hsp90α), γH2AX, and 53BP1 as predictive/prognostic markers. Pre-chemotherapy peripheral blood leukocytes were exposed to cPt in vitro and collected at 0, 24 (T24), and 48 (T48) hr post-drug removal. Healthy subjects were also included. Baseline DNA damage was elevated in cancer patients (variability between individuals was observed). After cPt, patients showed increased γH2AX foci/nucleus (T24 and T48). Both in healthy persons and patients, the nuclear p-Hsp90α and N/C (nuclear/cytoplasmic) ratio augmented (T24), decreasing at T48. Favorable clinical response was associated with high DNA damage and p-Hsp90α N/C ratio following cPt. For the first time, p-Hsp90α significance as a predictive marker is highlighted. Post-cPt-DNA damage was associated with longer disease-free survival and overall survival. Our findings indicate that comet assay and p-Hsp90α (a marker of DDR) would be promising prognostic/predictive tools in cP-treated cancer patients.
Tipping points emerge from weak mutualism in metacommunities
Authors: Denk Jonas , Hallatschek Oskar
Published: March 2024

The coexistence of obligate mutualists is often precariously close to tipping points where small environmental changes can drive catastrophic shifts in species composition. For example, microbial ecosystems can collapse by the decline of a strain that provides an essential resource on which other strains cross-feed. Here, we show that tipping points, ecosystem collapse, bistability and hysteresis arise even with very weak (non-obligate) mutualism provided the population is spatially structured. Based on numeric solutions of a metacommunity model and mean-field analyses, we demonstrate that weak mutualism lowers the minimal dispersal rate necessary to avoid stochastic extinction, while species need to overcome a mean threshold density to survive in this low dispersal rate regime. Our results allow us to make numerous predictions for mutualistic metacommunities regarding tipping points, hysteresis effects, and recovery from external perturbations, and let us draw general conclusions for ecosystems even with random, not necessarily mutualistic, interactions and systems with density-dependent dispersal rather than direct mutualistic interactions.
Patterns of social-affective responses to trauma exposure and their relation to psychopathology
Authors: Thomas Sarah , Schäfer Judith , Kanske Philipp , Trautmann Sebastian
Published: March 2024

Introduction

Traumatic event exposure is a risk factor for the development and maintenance of psychopathology. Social-affective responses to trauma exposure (e.g. shame, guilt, revenge, social alienation) could moderate this relationship, but little is known about their relevance for different types of psychopathology. Moreover, the interplay of different social-affective responses to trauma exposure in predicting psychopathology is poorly understood.

Methods

In a sample of N = 1321 trauma-exposed German soldiers, we examined cross-sectional associations of trauma-related social alienation, revenge, guilt and shame with depressive disorder, alcohol use disorder, posttraumatic stress disorder and dimensional measures of depression and anxiety. Latent class analysis was conducted to identify possible patterns of social-affective responses to trauma exposure, and their relation to psychopathology.

Results

All social-affective responses to trauma exposure predicted current posttraumatic stress disorder, depressive disorder, alcohol use disorder and higher depressive and anxiety symptoms. Three latent classes fitted the data best, reflecting groups with (1) low, (2) moderate and (3) high risk for social-affective responses to trauma exposure. The low-risk group demonstrated the lowest expressions on all psychopathology measures.

Conclusions

Trauma-related social alienation, shame, guilt, and revenge are characteristic of individuals with posttraumatic stress disorder, depressive disorder, alcohol use disorder, and with higher anxiety and depressive symptoms. There was little evidence for distinctive patterns of social-affective responses to trauma exposure despite variation in the overall proneness to show social-affective responses. Social-affective responses to trauma exposure could represent promising treatment targets for both cognitive and emotion-focused interventions.
Absence of specific autoantibodies in patients with narcolepsy type 1 as indicated by an unbiased random peptide-displayed phage screening
Authors: Tran Thi-Tuyet Trinh , Nguyen Thi-Hong Nhung , Dauvilliers Yves , Liblau Roland , Nguyen Xuan-Hung
Published: March 2024

Narcolepsy type 1 (NT1) is an enigmatic sleep disorder characterized by the selective loss of neurons producing orexin (also named hypocretin) in the lateral hypothalamus. Although NT1 is believed to be an autoimmune disease, the orexinergic neuron-specific antigens targeted by the pathogenic immune response remain elusive. In this study, we evaluated the differential binding capacity of various peptides to serum immunoglobin G from patients with NT1 and other hypersomnolence complaints (OHCs). These peptides were selected using an unbiased phage display technology or based on their significant presence in the serum of NT1 patients as identified from previous studies. Although the subtractive biopanning strategy successfully enriched phage clones with high reactivity against NT1 serum IgG, the 101 randomly selected individual phage clones could not differentiate the sera from NT1 and OHC. Compared to the OHC control group, serum from several NT1 patients exhibited increased reactivity to the 12-mer peptides derived from TRBV7, BCL-6, NRXN1, RXRG, HCRT, and RTN4 proteins, although not statistically significant. Collectively, employing both unbiased and targeted methodologies, we were unable to detect the presence of specific autoantibodies in our NT1 patient cohort. This further supports the hypothesis that the autoimmune response in NT1 patients likely stems primarily from T cell-mediated immunity rather than humoral immunity.
Effects of environmental awareness training and environmental commitment on firm’s green innovation performance: Empirical insights from medical equipment suppliers
Authors: Wu Qiong , Xie Senlin , Wang Shihan , Zhou Anning , Aba Abruquah Lucille , Chen Zhen
Published: March 2024

In recent years, the intensification of global industrialization coupled with the enterprise’s production and operating activities have caused pollution, increasing the current environmental pressure. Relevant government departments in China have instituted several stringent measures (environmental protection sensitization and awareness activities, training sessions, and exchange activities targeted towards enterprise managers) to address these rising environmental problems. Though these measures have gained traction over the years, there is a dearth of research on their effectiveness on the green innovation performance of enterprises. To bridge the gap, this research explores the effect of environmental awareness training, knowledge exchange activities, and commitment on green innovation performance with survey data from 285 medical equipment manufacturing companies in China. It further expands the theoretical application of environmental awareness training, commitment, and innovation performance from the lens of the Knowledge-Based View. The findings depict a positive relationship between environmental awareness training and innovation performance. It also finds a mediating influence of environmental commitment in the relationship between environmental awareness training and green innovation performance. Furthermore, environmental knowledge exchange activities positively moderate the relationship between environmental awareness training and environmental commitment. These findings offer valuable insights for the green development of medical equipment manufacturing enterprises and the government to formulate environmental protection policies.
SegX-Net: A novel image segmentation approach for contrail detection using deep learning
Authors: Nobel S. M. Nuruzzaman , Hossain Md. Ashraful , Kabir Md. Mohsin , Mridha M. F. , Alfarhood Sultan , Safran Mejdl
Published: March 2024

Contrails are line-shaped clouds formed in the exhaust of aircraft engines that significantly contribute to global warming. This paper confidently proposes integrating advanced image segmentation techniques to identify and monitor aircraft contrails to address the challenges associated with climate change. We propose the SegX-Net architecture, a highly efficient and lightweight model that combines the DeepLabV3+, upgraded, and ResNet-101 architectures to achieve superior segmentation accuracy. We evaluated the performance of our model on a comprehensive dataset from Google research and rigorously measured its efficacy with metrics such as IoU, F1 score, Sensitivity and Dice Coefficient. Our results demonstrate that our enhancements have significantly improved the efficacy of the SegX-Net model, with an outstanding IoU score of 98.86% and an impressive F1 score of 99.47%. These results unequivocally demonstrate the potential of image segmentation methods to effectively address and mitigate the impact of air conflict on global warming. Using our proposed SegX-Net architecture, stakeholders in the aviation industry can confidently monitor and mitigate the impact of aircraft shrinkage on the environment, significantly contributing to the global fight against climate change.
Recommendation of Tahiti acid lime cultivars through Bayesian probability models
Authors: Malikouski Renan Garcia , Ferreira Filipe Manoel , Chaves Saulo Fabrício da Silva , Couto Evellyn Giselly de Oliveira , Dias Kaio Olimpio das Graças , Bhering Leonardo Lopes
Published: March 2024

Probabilistic models enhance breeding, especially for the Tahiti acid lime, a fruit essential to fresh markets and industry. These models identify superior and persistent individuals using probability theory, providing a measure of uncertainty that can aid the recommendation. The objective of our study was to evaluate the use of a Bayesian probabilistic model for the recommendation of superior and persistent genotypes of Tahiti acid lime evaluated in 12 harvests. Leveraging the Monte Carlo Hamiltonian sampling algorithm, we calculated the probability of superior performance (superior genotypic value), and the probability of superior stability (reduced variance of the genotype-by-harvests interaction) of each genotype. The probability of superior stability was compared to a measure of persistence estimated from genotypic values predicted using a frequentist model. Our results demonstrated the applicability and advantages of the Bayesian probabilistic model, yielding similar parameters to those of the frequentist model, while providing further information about the probabilities associated with genotype performance and stability. Genotypes G15, G4, G18, and G11 emerged as the most superior in performance, whereas G24, G7, G13, and G3 were identified as the most stable. This study highlights the usefulness of Bayesian probabilistic models in the fruit trees cultivars recommendation.
Safety and health measures compliance during the COVID-19 pandemic for community-based tourism in Nakhon Si Thammarat, Thailand: A cross-sectional descriptive study
Authors: Bumyut Apirak , Thanapop Sasithorn , Dwipayanti Ni Made Utami
Published: March 2024

Community-based tourism (CBT) in Thailand faces challenges in adapting to COVID-19 prevention measures. The purpose of the study was to evaluate levels of knowledge, practice, and compliance regarding safety and health measures of the entrepreneur in managing CBT under the Safety and Health Administration (SHA) standard in the new normal situation. A descriptive cross-sectional study was conducted on twenty-one entrepreneurs from three CBTs in three districts in Nakhon Si Thammarat, in the months of February—May 2021. Levels of knowledge and practice were evaluated by questionnaires and compliance level was evaluated by SHA standard checklist. The level of knowledge and practice were categorized sufficient and insufficient, while compliance level was categorized as high or low if scores met or exceeded 80%, based on Bloom’s cut-off point. Information on sociodemographic characteristics was also gathered. Fisher’s exact test with a 95% confidence level (α < 0.05) was used for statistical analysis. The findings revealed that 66.7% and 38.1% of the establishments in the study had sufficient knowledge (Mean ± SD: 46.9 ± 7.2, Max: 55.0, Min: 33.0) and sufficient practice (Mean ± SD: 40.4 ± 9.2, Max: 55.0, Min: 29.0), respectively. In addition, the study found that knowledge level was significantly associated with practice level at a p-value of 0.018. However, compliance level was not related to knowledge and practice. In conclusion, the low level of compliance was due to a lack of understanding and motivation to comply with the standard, and the budget of small establishments in CBT for bringing them up to the SHA standard was quite limited. Therefore, the related organizations should use a variety of strategies to encourage entrepreneurs, such as partnership building and resource support.
I Learned to Pick My Battles: Girls Dissenting in Oil Country
Authors: Mantei Meighan
Published: March 2024

In this paper I explore how girls living in a community economically reliant on the extraction of fossil fuels navigate gender expectations, loyalties, ideologies and moralities within their family structures, their places of employment and their affective communities. I describe how girlhood(s) within resource dependent communities are composed of and configured through the social, political, and economic conditions of extractivism, and the social relations that exist within these material conditions. The meeting of the material conditions of resource extraction and the social relations that exist within these environments, can be understood as “zones of entanglement.” An exploration of girls’ lives within these zones of entanglement, highlights how girls maneuver within the processes of social acceptance, belonging and notions of the “good life” by engaging in various strategies that work to create opportunities, while also reinforce foreclosures. These strategies include moving between speech and silence, learning to pick their battles, taking up space, and engaging in care-work. Through engagement in various strategies girls learn to protect themselves while maintaining opportunities for hope, connection, and transformation in their own lives, and in their interdependent relationships and attachments.
Refugee Worldbuilding in Broken Times: (Re)Creating Self-Location in South(east) Asian Canadian Narratives
Authors: Llarena Ascanio María Jesús
Published: March 2024

This paper is focused on interpreting the way in which twenty-first-century refugee writing in Canada is currently approached critically and theoretically. It proposes new reading strategies that contest the influence of nation-state powers over literary production deployed with an aesthetics of cosmopolitanism. In particular, this article takes up refugee writing by Kim Thúy and Sharon Bala, respectively, in order to show how its search for a “Good Life” leads to the transformation of the characters’ subjectivity. This transformation responds to an epistemological shift which confronts issues of Western complicity in foreign human rights abuses and poses questions about alternative epistemologies to Eurocentric notions of healing and trauma recovery in the aftermath of mass violence.
Műszaki egyetemisták analógiás gondolkodásának fejlettsége
Authors: Pogátsnik Monika , Tóth Péter , Horváth Kinga
Published: March 2024

A transzverzális kompetenciák fejlesztése kiemelt feladata kellene legyen a magyar műszaki felsőoktatásnak. Ahhoz, hogy ezt elvégezhesse, egyrészt szükséges annak megbízható mérése a tanulmányok megkezdésekor, illetve befejezésekor, másrészt pedig a tantárgyak feldolgozása során a módszertanok szerves részévé kellene válniuk a soft skillek fejlesztésének. Kutatásunkban az Óbudai Egyetem 241 elsőéves mérnökhallgatója vett részt, és célkitűzése volt, hogy a transzverzális kompetenciák egyikének, az analógiás gondolkodásnak a fejlettségét vizsgálata. A teszt eredményeként megállapítást nyert, hogy a hallgatók szak, matematikaérettségi- eredmény és eduktív képességek szerint szignifikánsan eltérő fejlettséget mutatnak. A gyengébb matematika érettségi és Raven-teszt-eredményekből gyengébben fejlett analógiás gondolkodásra következtethetünk.
A lemorzsolódás esélyét befolyásoló társadalmi és intézményi tényezők a felsőoktatásban
Authors: Kovács Klára , Fényes Hajnalka , Pusztai Gabriella
Published: March 2024

Tanulmányunkban azt vizsgáljuk, hogy milyen társadalmi és intézményi tényezők okozzák a felsőoktatás hallgatóinak lemorzsolódását, elbizonytalanodását a diplomaszerzési szándékukban, illetve azt, hogy magabiztosan haladjanak a végzettség megszerzése felé. Elemzésünk a kelet-magyarországi felsőoktatási régió intézményéből egykor lemorzsolódott hallgatók, valamint jelenlegi hallgatók körében végzett nagymintás kérdőíves felmérések egyesített adatbázisán alapul. Kétváltozós módszerek mellett multinomiális logisztikus regresszióelemzéssel vizsgáljuk, hogy a hallgatók neme, társadalmi háttere, a képzés finanszírozási formája, a tanulmányaik melletti fizetett munkavállalásuk, valamint az oktatókkal és a diáktársakkal való kapcsolatuk hogyan befolyásolja a lemorzsolódás, a lemorzsolódási kockázatba kerülés és a perzisztens hallgatóvá válás esélyét. A korábbi tanulmányokkal ellentétben, amelyek a lemorzsolódottakat az intézményből való kikerülés után nem tudták összehasonlítani a tanulmányaikat folytató, lemorzsolódási veszélynek kitett és a tanulmányokat magabiztosan folytató hallgatókkal, kutatásunk újszerűsége ezen csoportok összehasonlítása. Eredményeink azt mutatják, hogy a tényleges lemorzsolódást legalább annyira befolyásolja a hallgatók kedvezőtlen társadalmi háttere, mint az intézményi integrációs tényezők.
Felsőoktatási lemorzsolódási rizikótényezők vizsgálata az érettségit adó szakképzésben tanuló diákok körében
Authors: Józsa Gabriella
Published: March 2024

A szakképzésből a felsőoktatásba való átmenettel foglalkozó nemzetközi kutatások egy része szerint a szakképzésből jövő hallgatók jelenléte a felsőoktatásban jelentősen hozzájárul a felsőoktatás kiszélesedéséhez, expanziójához, azonban ezek a tanulói csoportok nagy valószínűséggel társadalmi-gazdasági szempontból kevésbé előnyös helyzetűek, mint az általános felsőközépfokról érkezők (Katartzi és Hayward, 2019; Shields és Masardo, 2015). Találunk olyan szakirodalmat is, ami szerint a szakképzés csökkenti a felsőoktatásba való bekerülés esélyét (Arum és Shavit, 1995). Továbbá szignifikánsan magasabb mértékű a szakképzésből érkezők lemorzsolódási aránya az eleve felsőoktatásra készülő, általános felsőközépfokról érkező társaiknál (Hayward és Hoelscher, 2011; Katartzi és Hayward, 2019). Munkánkban az érettségit adó szakképzésben tanuló, érettségi előtt álló és már leérettségizett, technikusi évre maradó diákokat vizsgáljuk. Arra keressük a választ, hogy milyen rizikófaktorokat tudunk azonosítani már a felsőoktatásba jelentkezés pillanatában, amelyek a felsőoktatási tanulmányok során arra a döntésre kényszeríthetik a tanulókat, hogy diploma megszerzése nélkül hagyják el a felsőoktatást. Az adatgyűjtés online kérdőíves formában történt, összesen 1852 fő érettségit adó szakképzésben tanuló diák vett részt a mérésben. Eredményeink azt mutatják, hogy már a felsőoktatásba jelentkezés előtt lehet lemorzsolódási rizikótényezőket azonosítani. Ezek közé tartozik a költségtérítéses képzésre való jelentkezés, az alacsony tanulmányi eredmény, a bukás és évismétlés. Azonban találtunk különbségeket az érettségit adó szakképzés 12. és 13. évfolyamán tanuló diákcsoportok között.
Bennmaradás a felsőoktatásban
Authors: Müller Vanessa , Pikó Bettina
Published: March 2024

Napjainkban, a tömegessé vált felsőoktatás időszakában, a hallgatói sikeresség fontos intézményi és társadalmi indikátorként tartható számon. Az oktatáspolitikai változások, a bolognai rendszerhez való csatlakozás – a remények ellenére – a hallgatói lemorzsolódásra nem hoztak megoldást. Kutatásunk célja azon intézményi és pszichikai tényezők feltárása, amelyek leginkább hozzájárulnak a lemorzsolódási szándék megjelenéséhez és a bennmaradás támogatásához. A kvantitatív, online kérdőíves vizsgálat célcsoportját a magyarországi felsőoktatásban tanulók alkották. A Felsőoktatási Bennmaradás Kérdőív, a Tanulmányi Reziliencia Skála, a Felnőtt ADHD Önértékelő Skála és a Beck Depresszió Kérdőív rövid változata szerepeltek az alkalmazott mérőeszközök között. Mintánkban 18 és 35 év (M = 23,72 év, SD = 3,90) közötti, magyarországi felsőoktatásban tanuló hallgatók szerepeltek. Összesen 395-en vettek részt vizsgálatunkban, ebből 263 nő (66,6%). A lineáris regres�- szióanalízis eredményei alapján az intézményi tényezők közül az egyetemi/tanulmányi bevonódás, az elvárások átláthatósága, a saját teljesítménnyel kapcsolatos elvárások és az oktatói támogatás magyarázták a lemorzsolódási szándékot. A pszichológiai változók közül pedig a depresszió tünetei, a hallgatói kitartás, állhatatosság (perszeverancia) és az ADHD tünetegyütteséhez tartozó hiperaktivitás jelei voltak a lemorzsolódási szándék legerősebb prediktorai. Eredményeink rávilágítanak a tanulásieredmény-alapú módszertan bennmaradást segítő funkciójára és kiemelik az ADHD-tünetek szerepét a lemorzsolódási szándék megjelenésének folyamatában. Kutatásunk alapként szolgálhat az erőforrásokat mozgósító, multikomponensű intervenciók kidolgozására a hazai felsőoktatásban.
INCLUSÃO LINGUÍSTICA COMO ESTRATÉGIA DE GOVERNAMENTO DE PESSOAS SURDAS
Authors: Witchs Pedro Henrique , Teixeira Keila Cardoso , Borges Kátia Regina
Published: March 2024

Neste artigo, discute-se estratégias de governamento de pessoas surdas a partir de um processo de inclusão linguística. À luz de Estudos Foucaultianos, Estudos Surdos em Educação e estudos em políticas linguísticas, são discutidos resultados de uma pesquisa que mapeou documentos oficiais em quatro conjuntos de países: 10 países de língua espanhola da América e da Europa; seis países de língua francesa da América e da Europa; oito países de língua inglesa da África, da América, da Europa e da Oceania; e oito países de língua portuguesa da África, da América e da Europa. Observa-se que diferentes países não apresentam políticas de línguas de sinais explícitas, o que não significa que práticas com essas línguas não ocorram em seus territórios. Argumenta-se que, apesar disso, as línguas de sinais ainda dependem de empreendimentos institucionais para que a sua aprendizagem e o seu efetivo uso na sociedade sejam possíveis.
MEDITAÇÃO NA ESCOLA: PERCEPÇÕES INICIAIS
Authors: Mirapalheta Priscila , Ribeiro Camila Borges
Published: March 2024

O presente estudo objetivou analisar as publicações científicas acerca da meditação na escola. Realizou-se uma pesquisa bibliográfica que abarcou a contextualização da história da meditação desde as tradições filosófico-religiosas orientais até as versões ocidentais, bem como a disseminação das práticas meditativas no campo escolar. Constatou-se que essas práticas podem contribuir para a construção de significados que ultrapassem os conhecimentos práticos do cotidiano, objetivando o desenvolvimento das dimensões cognitiva, afetiva e psicológica. O Mindfulness é considerado também uma prática meditativa, se tratando de um estado de consciência que se cria quando a pessoa presta atenção e está totalmente focada no momento presente, tendo como reflexos a redução do estresse, prevenir depressão, uma vez que parte da educação dos sentidos e da utilização da atenção plena no cotidiano na busca por enxergar a vida sob um novo ponto de vista para desfrutar de tudo que ela pode oferecer. Na escola, estudos indicam ter desenvolvido uma prática, cujo nome denomina-se meditação laica educacional com crianças e adolescentes e embora não especifique se tratar do Mindfulness, se refere ao foco na atenção e enfatiza o desvínculo com a esfera religiosa, tendo como resultados: o relaxamento, a melhora na concentração, a promoção do autoconhecimento, a repercussão da nova disciplina e a partilha dessas experiências junto aos pais e a possibilidade de abrangência social. Concluiu-se que a meditação é um caminhoviável de aplicabilidade no campo escolar com vistas a uma formação humana e holística.
Determinants of employee psychological ownership and its impact on sustainable manufacturing performance
Authors: Mauludin Hanif , Harjoyo Hegi , Djuharni Darti
Published: March 2024

This study aims to examine the determinants of employee psychological ownership and its effect on sustainable manufacturing performance. The population in this study is employees of a cigarette company in Indonesia. The sample used is 100 respondents, consisting of workers, supervisors, front line managers, and senior managers of a large cigarette company in Indonesia who are involved in initiative programs to achieve sustainable manufacturing performance. The sampling technique used is purposive sampling. Data collection is carried out by distributing questionnaires directly to respondents and conducting focus group discussions (FGDs). The analytical tool used is Partial Least Squares with SmartPLS version 3. The results show that Servant Leadership has a significant effect on Growth Mindset and Capability Building; Growth Mindset and Capability Building have a significant effect on Employee Psychological Ownership; and Employee Psychological Ownership has a significant effect on Sustainable Manufacturing Performance. Therefore, to achieve sustainable manufacturing performance, it is necessary to have a strong employee psychological ownership by forming a mindset to always grow, accompanied by increasing individual capabilities through effective servant leadership.
Implementing Independent Learning Curricula: A Case Study from MAN 2 Kediri, Indonesia
Authors: Nur Kholifah Akrom  , Abd. Aziz  , Agus Zaenul Fitri  , Venant Hakizimana
Published: March 2024

This research examines four aspects of the independent learning curriculum at MAN 2 Kediri City, namely objectives, materials, methods and evaluation. The main focus is to examine the impact on the development of students' independence and their readiness to face future challenges. This qualitative case study involves field observations, interviews with educational figures, and document analysis within an ethnographic framework. The research results show that the curriculum is designed to shape student character according to the national education profile, with broad and inclusive content. This approach focuses on developing critical thinking and problem solving abilities through a variety of teaching methods. The evaluation uses a multilevel assessment strategy to ensure the effectiveness of the curriculum. The implementation was successful, marked by student academic achievement. However, there are limitations to this research, namely the absence of visual data analysis. For this reason, further studies are needed. These findings contribute to curriculum theory, by proposing a framework that prepares students with essential skills and attitudes for the 21st century.
Exploring the Dynamics of Job Performance and Job Satisfaction on Work Effectiveness: A Study at BPMP Yogyakarta During COVID-19
Authors: Jusniati Sari  , Nora Saiva Jannana  , Maksim Kim
Published: March 2024

This study investigates the impact of job performance and job satisfaction on employee work effectiveness at the Yogyakarta Special Region Education Quality Assurance Institute amid the COVID-19 pandemic. Addressing the novel challenges posed by the work-from-home policy, the research aims to elucidate the direct influence of these variables in a transformed work environment. Utilizing a stratified random sampling method based on Slovin's formula, the study engaged 82 employees from BPMP Yogyakarta, employing bivariate correlation and double linear regression analysis. The results revealed a strong positive correlation between job performance and work effectiveness (Pearson Correlation: 0.883), with job performance and satisfaction collectively accounting for 82.7% of work effectiveness (R Square: 0.827). These findings highlight the critical role of job performance and satisfaction in enhancing work effectiveness, especially under pandemic-induced remote working conditions. However, the study's context-specific nature and reliance on self-reported measures suggest caution in generalization. The study's implications are significant for human resource strategies in similar institutions, advocating the need for adaptable and resilient work environments in challenging times. Future research should extend these findings to various organizational contexts and explore the long-term implications of remote working on these variables.
Man kann nur managen, was man misst
Authors: Küstner Johannes
Published: March 2024

Ob Lebensmittel, Energie oder die Luft zum Atmen – unser ­ ganzes Leben hängt davon ab, was die Natur uns zur Verfügung stellt. Aber wie viel können die Ökosysteme leisten? Was brauchen wir? ­Und wer nutzt wie viel? Der ökologische Fußabdruck bietet Orientierung für die Transformation.
Steckt das Modell Deutschland in der Globalisierungs- und Transitionsfalle?
Authors: Hübner Kurt
Published: March 2024

Die deutsche „Superstar“-Episode in der globalen Ökonomie ist an ihr Ende gelangt. Geopolitische Umstrukturierungen und klimapolitische Strategien stellen das deutsche Exportmodell vor tiefgreifende Herausforderungen. Wohin ­treibt die deutsche Wirtschaft?
Sozial-ökologische Planung für eine demokratische Postwachstumsökonomie
Authors: Hofferberth Elena , Schmelzer Matthias
Published: March 2024

Während unter dem Stichwort vom „kranken Mann Europas“ wieder das Gespenst zu niedriger Wachstumsprognosen die wirtschaftspolitischen Debatten in Deutschland prägt, macht die Klima­krise deutlich: Aus sozialer und ­ökologischer Perspektive ist es an der Zeit, Wachstum selbst als Politik­ziel zu hinterfragen.
Demokratiecafé: If you can’t fix it, you don’t own it!
Authors: Jende Robert , Beck Gerald
Published: March 2024

Wie können wir diesen Leitspruch der Repair Cafés auf die Demokratie übertragen? Eine Antwort liefert das Konzept der Demokratiecafés: „Demokratie reparieren“ bedeutet, soziale Beziehungen und gesellschaftliche Verhältnisse so ­umzubauen, dass eine breite Mitwirkung von Gleichrangigen bei der Gestaltung der geteilten Lebenswelt möglich ist.
Jordanian Women’s Experiences of Natural Childbirth Using a Midwife-Led Care Unit: A Qualitative Study
Authors:   Al-Balqa Applied University, Al-Salt, Jordan. Corresponding Author
Published: March 2024

Background: Midwives can play a pivotal role in promoting natural-birth experiences. However, limited information is available about Jordanian laboring women’s experiences of natural childbirth guided by midwives. Understanding women’s experiences of natural birth can inform healthcare providers and policymakers to improve the care provided for laboring women. Purpose: This study aims to explore women's experiences of natural childbirth in a midwife-led care unit. Methods: A qualitative descriptive approach guided the study protocol. Data was collected through in-depth, semi-structured telephone interviews with 10 Jordanian women who experienced natural childbirth in a midwife-led care unit. Results: Two main themes emerged: “The journey of empowerment “and “being prepared for natural childbirth". The first theme consisted of two sub-themes: Making an informed decision, and being supported. The second theme consisted of three sub-themes: The power of the place, being satisfied with natural-childbirth practices, and feeling relieved. Conclusion: Women had positive childbirth experiences shaped by having autonomy in decision-making, perceived support, and being satisfied with the midwife-led care unit. Women’s positive experiences emphasize the need for social and political change to promote natural childbirth. Implications for Nursing: This paper provides evidence that supports the incorporation of midwife-led units to promote natural childbirth. New data will play a critical role in strengthening the responsibilities of nurses and midwives by raising public awareness and calling for policy changes to promote natural childbirth. Keywords: Midwife-led care unit, Natural childbirth, Women’s experiences.
Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets
Authors: Siddiqui Tarique , Narasayya Vivek , Dumitru Marius , Chaudhuri Surajit
Published: March 2024

Top-k aggregation queries are widely used in data analytics for summarizing and identifying important groups from large amounts of data. These queries are usually processed by first computing exact aggregates for all groups and then selecting the groups with the top-k aggregate values. However, such an approach can be inefficient for high-cardinality large datasets where intermediate results may not fit within the local cache of multi-core processors leading to excessive data movement. To address this problem, we have developed Zippy, a new cache-conscious aggregation framework that leverages the skew in the data distribution to minimize data movements. This is achieved by designing cache-resident data structures and an adaptive multi-pass algorithm that quickly identifies candidate groups during processing, and performs exact aggregations for these groups. The non-candidate groups are pruned cheaply using efficient hashing and partitioning techniques without performing exact aggregations. We develop techniques to improve robustness over adversarial data distributions and have optimized the framework to reuse computations incrementally for rolling (or paginated) top-k aggregate queries. Our extensive evaluation using both real-world and synthetic datasets demonstrate that Zippy can achieve a median speed-up of more than 3× for monotonic aggregation functions across typical ranges of k values (e.g., 1 to 100) and 1.4× for non-monotonic functions when compared with state-of-the-art cache-conscious aggregation techniques.
TVM: A Tile-based Video Management Framework
Authors: Zhong Tianxiong , Zhang Zhiwei , Lu Guo , Yuan Ye , Wang Yu-Ping , Wang Guoren
Published: March 2024

With the exponential growth of video data, there is a pressing need for efficient video analysis technology. Modern query frameworks aim to accelerate queries by reducing the frequency of calls to expensive deep neural networks, which often overlook the overhead associated with video decoding and retrieval. Furthermore, video storage frameworks optimize video retrieval through video partition or caching, often relying on prior information about the query workload. To further accelerate queries, this study introduces a novel tile-based video management framework, called TVM, which leverages the semantic information embedded in videos, without being dependent on specific query workloads. By constructing a tile-based semantic index for newly ingested videos, TVM effectively reduces the size of decoded and processed video data. To achieve this, TVM introduces an optimal index construction algorithm that utilizes cost function and pseudo-labels. Additionally, the framework proposes a query-driven tile parallel decoding algorithm and resource caching algorithms, which further expedite the retrieval of video frames. Experimental results demonstrate that TVM can significantly enhance the throughput of various query tasks, achieving a notable speedup of more than 5.6×.
Densest Multipartite Subgraph Search in Heterogeneous Information Networks
Authors: Chen Lu , Liu Chengfei , Zhou Rui , Liao Kewen , Xu Jiajie , Li Jianxin
Published: March 2024

Cohesive multipartite subgraphs (CMS) in heterogeneous information networks (HINs) uncover closely connected vertex groups of multiple types, enhancing real applications like community search and anomaly detection. However, existing works for HINs pay less attention to searching CMS. In this paper, we leverage well-established concepts of meta-path and densest subgraph to propose a novel CMS model called the densest
P
-partite subgraph. Given a multipartite subgraph of an HIN induced by
i
=|
P
| types of vertices defined in a query meta-path P (i.e., a
P
-partite subgraph), we devise a novel density function which is the number of the instances of
P
over the geometric mean of the sizes of
i
different types of vertex sets in the subgraph. A
P
-partite subgraph with the highest density serves as the optimum result. To find the densest
P
-partite subgraph in an HIN with
n
vertices, we first design an exact algorithm with a runtime cost equivalent to solving Θ(|M|) instances of the min-cut problem where |M|=
O
((
n/i
)

i

). Then, we attempt a more efficient approximation algorithm that achieves a ratio of 1/
i
but still incurs the cost of solving Θ(|M|) instances of our proposed peeling problem. Both approaches struggle with scalability due to Θ(|M|). To overcome this bottleneck, we improve the exact algorithm with novel pruning rules that non-trivially reduce the number of min-cut problem instances to solve to
O
(|M|). Empirically, 70-90% instances are pruned, making the improved exact algorithm significantly faster than the approximation algorithm. Extensive experiments on real datasets demonstrate the effectiveness of the proposed model and the efficiency of our algorithms.
METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection
Authors: Zhu Jiaqi , Cai Shaofeng , Deng Fang , Ooi Beng Chin , Zhang Wenqiao
Published: March 2024

Real-time analytics and decision-making require online anomaly detection (OAD) to handle drifts in data streams efficiently and effectively. Unfortunately, existing approaches are often constrained by their limited detection capacity and slow adaptation to evolving data streams, inhibiting their efficacy and efficiency in handling
concept drift
, which is a major challenge in evolving data streams. In this paper, we introduce METER, a novel dynamic concept adaptation framework that introduces a new paradigm for OAD. METER addresses concept drift by first training a base detection model on historical data to capture recurring
central concepts
, and then learning to dynamically adapt to
new concepts
in data streams upon detecting concept drift. Particularly, METER employs a novel
dynamic concept adaptation
technique that leverages a hypernetwork to dynamically generate the parameter shift of the base detection model, providing a more effective and efficient solution than conventional retraining or fine-tuning approaches. Further, METER incorporates a lightweight drift detection controller, underpinned by evidential deep learning, to support robust and interpretable concept drift detection. We conduct an extensive experimental evaluation, and the results show that METER significantly outperforms existing OAD approaches in various application scenarios.
The effect of breathing hypoxic gas (15% FIO2) on physiological and behavioral outcomes during simulated driving in healthy subjects
Authors: Kaur Jaspreet , Manokaran Lebbathana , Thynne Michael , Subhan Mirza M. F.
Published: March 2024

Hypoxia is mainly caused by cardiopulmonary disease or high‐altitude exposure. We used a driving simulator to investigate whether breathing hypoxic gas influences driving behaviors in healthy subjects. Fifty‐two healthy subjects were recruited in this study, approved by the Science and Engineering Ethical Committee. During simulated driving experiments, driving behaviors, breathing frequency, oxygen saturation (SpO2), and heart rate variability (HRV) were analyzed. Each subject had four driving sessions; a 10‐min practice and three 20‐min randomized interventions: normoxic room air (21% FIO2) and medical air (21% FIO2) and hypoxic air (equal to 15% FIO2), analyzed by repeated measures ANOVA. Driving behaviors and HRV frequency domains showed no significant change. Heart rate (HR; p < 0.0001), standard deviation of the RR interval (SDRR; p = 0.03), short‐term HRV (SD1; p < 0.0001), breathing rate (p = 0.01), and SpO2 (p < 0.0001) were all significantly different over the three gas interventions. Pairwise comparisons showed HR increased during hypoxic gas exposure compared to both normoxic interventions, while SDRR, SD1, breathing rate, and SpO2 were lower. Breathing hypoxic gas (15% FiO2, equivalent to 2710 m altitude) may not have a significant impact on driving behavior in healthy subjects. Furthermore, HRV was negatively affected by hypoxic gas exposure while driving suggesting further research to investigate the impact of breathing hypoxic gas on driving performance for patients with autonomic dysfunction.
The Relationship Between Stock Performance and Money Supply Based on VAR Model in the Context of E-commerce
Authors: Qiu Lianshi
Published: March 2024

With the development of network technology, electronic money as a payment and settlement tool based on the network has been developing at an unprecedented speed. Based on the background of e-commerce, this study uses the data from June 2012 to June 2022 to establish a vector autoregressive model to study the interaction between oil prices, stock performance, and money supply. Such a model can not only further our understanding of the complex relationship between these important variables but also shed light on future oil prices. Granger causality test, impulse response function analysis, and variance decomposition analysis have been applied to variables in the model. The main finding is that oil price responds to changes in stock performance and money supply, stock performance is affected by both oil price and money supply, and changes in money supply can be explained by stock performance fluctuations. Such a relationship can help inform traders in e-commerce and investment banking to generate better predictions of future oil prices.
Zircon U–Pb ages of the Paleozoic volcaniclastic strata in the Junggar Basin, NW China
Authors: Chun Fan
Published: March 2024

A large set of Paleozoic volcaniclastic rocks is exposed in the northwestern margin of the Junggar Basin from the southern part of the Central Asian Orogenic Belt. The Carboniferous volcaniclastic strata in this area have been studied in depth, and an accurate chronostratigraphic framework of these strata has been established. However, there is a lack of sufficient geochronological data for the deposition times of the other Paleozoic volcaniclastic strata. In this study, zircon U–Pb dating of the Ordovician, Silurian, and Devonian volcaniclastic strata in the area reveals that the youngest age of the tuffite sample collected from the originally defined Ordovician strata is 398 ± 11 Ma, which represents the age of volcanic activity during the period of tuffite deposition. Based on this finding, the originally defined Ordovician strata are redefined as the Lower Devonian. The youngest ages of the silty tuff samples collected from the originally defined Silurian strata peak are 445–418 Ma, so its age is Upper Silurian. The youngest ages of the tuffaceous sandstone samples collected from the originally defined Devonian strata peak are 346–342 Ma, so these Devonian are redefined as the Early Carboniferous strata. Two Archean ages (2,501 ± 12 and 3,193 ± 8 Ma) were obtained in Silurian strata, thus confirming the existence of metamorphic rock basement in the provenance areas from which the sediments were derived.
Efficiency of green synthesised carbon nanotubes from Moringa oleifera leaf extract as potential toxic metals adsorbent in polluted water
Authors: Yahaya Mansur Ibrahim , Salihu Zara’u
Published: March 2024

Among the many drawbacks of the current wastewater treatment systems are their high energy consumption and creation of harmful sludge. Carbon nanotubes (CNTs) are advantageous for the treatment of water due to their strong adsorption capacity and selectivity towards various pollutants. Thus, creating methods for treating water by producing CNTs from Moringa oleifera leaf extract can greatly help with the clean water problem. The synthesised material’s Ultra Visible (260–385 nm), FTIR (764–3295 cm−1) and Scanning Electron Microscope (SEM) characterizations have demonstrated their CNTs characteristics. The repeatability testing yielded the %RSD values for Ca = 0.4, Cu = 0.24, Mg = 0.9, Pb = 1.06 and Zn = 0.36 which suggest that the AES approach demonstrated a high degree of precision. The findings show that the quantity of recovered metals increases with retention period. Mg > Cu > Zn > Ca > Pb was the order of the metal adsorption capacity throughout retention durations of 3, 6, 24, and 48 h. As the initial concentrations of the components under research were doubled and tripled, so were the removal capacities of CNTs increased which may be as a result of an increase in metal ions in the solution. The outcomes show how well the synthetic CNTs can remove heavy metals from wastewater.