bluuebunny/crossref_metadata_2025_split huggingface dataset:
Digital literacy canva terhadap anak berkebutuhan khusus
Authors: Reynard Dave , Susanto Jeffrey Belmiro , Tirtamurti Lim Madeleine , Sutanto Kevin , Malelak Mariana Ing 
Published: May 2024

Anak berkebutuhan khusus (ABK) seringkali dipandang sebelah mata dalam lingkungan masyarakat, baik dari sisi edukasi, sosialisasi, bahkan dalam dunia kerja. Dengan adanya perlakuan khusus seperti itu, banyak sekali ABK mengalami keterbelakangan, dimana hal tersebut menghalangi mereka dalam mengembangkan ilmu pengetahuan dan karier yang hendak ditempuh. Melihat situasi dan kondisi tersebut, maka penulis beriktikad untuk melakukan kegiatan pengabdian masyarakat dengan tujuan untuk mendorong potensi ABK, khususnya dalam dunia digital. Kegiatan pengabdian masyarakat ini dilakukan dengan cara memberikan pelatihan dan mengembangkan bakat dan minat ABK terkait dengan digital literacy di komunitas AORA Surabaya. Metode yang digunakan dalam kegiatan pengabdian masyarakat ini adalah Service Learning dimana para mahasiswa mengajak para ABK untuk memahami sekaligus melakukan praktik terhadap materi yang disampaikan terkait dengan digital literacy. Media yang digunakan dalam kegiatan pengabdian masyarakat ini adalah aplikasi Canva sebagai sarana untuk meningkatkan digital literacy ABK. Hasil kegiatan ini menunjukkan bahwa dari 30 peserta yang berpartisipasi dalam pelatihan Canva, sebanyak 20% (6 orang) peserta tertarik dalam mengikuti materi yang diberikan.
STRATEGI GURU PAI DALAM PENGELOLAAN KELAS UNTUK MENINGKATKAN KUALITAS PEMBELAJARAN PAI
Authors: Abidin Andi Rahmat , Latuapo Ridhwan , Abidin Mustika 
Published: May 2024

Penelitian ini bertujuan untuk mengetahui strategi pengelolaan kelas guru Pendidikan Agama Islam secara kuratif dan prefentif serta untuk mengetahui kualitas pembelajaran Pendidikan Agama Islam sehingga dapat meningkatkan kualitas pembelajaran peserta didik. Hasil penelitian menunjukan bahwa strategi pengelolaan kelas secara preventif adalah menyediakan 15 menit untuk tadarus bersama, memberikan pengantar-pengantar berupa cerita motivasi, merapikan posisi tempat duduk agar peserta didik merasa nyaman sebelum memulai pelajaran. Sementara pengelolaan kuratif adalah memberikan teguran saat terjadi kekacauan dalam kelas, adapun hasil dari fokus penelitian kualitas pembelajaran ditemukan kesimpulan bahwa pendidik atau guru pendidikan agama islam telah melakukan persiapan berupa, menyiapkan RPP (rencana proses pembelajaran) yang merupakan kerangka apa saja yang akan di lakukan guru dari masuk sampai keluar kelas. selain itu juga guru menyiapkan beberapa metode yang akan dipakai dan alat-alat pendukung seperti power point atau buku-buku serta memiliki keterampilan mengajar guru pendidikan agama islam terhadap tercapainya hasil tujuan pembelajaran dikategorikan cukup pada kemampuan mengelola kelas, mengadakan pembelajaran yang bevariasi, dan memimpin diskusi kelompok.
Pengaruh Kompetensi Guru dan Fasilitas Belajar Sekolah terhadap Hasil Belajar Siswa
Authors: Agustina Risma , Bukhori Imam 
Published: May 2024

Abstrak
Pendidikan adalah upaya yang mendasar dalam pengembangan derajat manusia, dengan cara mendorong aktivitas belajar dengan berbagai sumber informasi dan memfasilitasi kegiatan belajar siswa agar mencapai tujuan secara maksimal. Didalam proses belajar mengajar tentu terjadi sebuah hubungan diantara tenaga pendidik dengan siswa. Bukan hanya kemampuan tenaga pendidik saja, suatu kemajuan dalam kegiatan belajar mengajar diduga disokong oleh sarana atau pendukung pembelajaran yang dilaksanakan. Metode yang digunakan dalam penelitian ini ialah kuantitatif. Populasi penelitian ialah siswa kelas X dan XII jurusan OTKP dan BDP di SMK Ardjuna 2 Malang. Teknik analisis data yang digunakan ialah uji asumsi klasik, uji regresi linier berganda, pengujian t dan pengujian F. Instrument pengumpulan data menggunakan angket atau kuisioner yang diberikan kepada responden untuk diisi. Hasil uji analisis data menyatakan bahwa kompetensi guru dan fasilitas belajar berpengaruh positif dan signifikan dalam hasil belajar siswa.
Pengaruh Sustainable Development Goals Terhadap Indeks Kebahagiaan di Asia
Authors: Wanti Tiyas Saris , Fafurida Fafurida 
Published: May 2024

Indeks kebahagiaan menjadi salah satu ukuran kebahagiaan di suatu negara yang menggambarkan kesejahteraan subjektif. Rata-rata indeks kebahagiaan di Asia berada di bawah rata-rata kebahagiaan dunia dan setiap tahunnya angkanya berfluktuasi. Oleh karena itu, faktor-faktor yang menyebabkan peningkatan dan penurunan indeks kebahagiaan setiap tahunnya menarik untuk diteliti. Sustainable Development Goals (SDGs) berkaitan erat dan dapat mempengaruhi kebahagiaan. Agenda 2030 SDGs menetapkan lima pilar penting yang dikenal dengan 5P sehingga penelitian ini menggunakan lima variabel dimana setiap pilarnya diwaliki satu variabel untuk dilihat pengaruhnya terhadap indeks kebahagiaan. Penelitian ini bertujuan untuk menganalisis pengaruh Sustainable Development Goals terhadap indeks kebahagiaan di Asia. Alat analisis menggunakan regresi data panel dengan Fixed Effect Model sebagai model terbaik. Berdasarkan hasil penelitian Indeks Pembangunan Manusia (pilar people), indeks persepsi korupsi (pilar peace), dan penetrasi internet (pilar partnership) berpengaruh positif dan signifikan terhadap kebahagiaan. Sedangkan GDP per kapita (pilar prosperity) dan emisi karbondioksida (pilar planet) tidak berpengaruh signifikan terhadap kebahagiaan.
Frequency of HBsAg variants in occult hepatitis B virus infected patients and detection by ARCHITECT HBsAg quantitative
Authors: He Chengshan , Liu Yang , Jiang Xiudi , Xu Zheng , Xiang Zhouhong , Lu Zhicheng 
Published: May 2024

ObjectiveTo analyze the amino acid substitution caused by mutations in the major hydrophilic region (MHR) of the S-region genes in the serum samples of occult hepatitis B virus infection (OBI), and to explore the reasons for the missed detection of HBsAg.MethodThe full-length gene of the S-region in hepatitis B virus(HBV) in the chronic hepatitis B virus(CHB)(10 samples) and OBI groups(42 samples) was amplified using a lab-developed, two-round PCR amplification technology. The PCR amplification products were sequenced/clone sequenced, and the nucleotide sequences of the S-region gene in HBV were compared to the respective genotype consensus sequence.ResultsOnly 20 of the 42 samples in the OBI group had the S-region genes successfully amplified, with the lowest HBV DNA load of 20.1IU/ml. As S-region genes in HBV, 68 cloned strains were sequenced. In the OBI and CHB groups MHR region, with a mutation rate of 3.21% (155/4828) and 0.70% (5/710). The genetic mutation rate was significantly higher in the OBI group than in the CHB group (P&lt;0.05). The common mutation types in the MHR region were: I126T, L162R, K122E, C124R, and C147Y.Mutations at s122, s126, and s162 were associated with subgenotypes, most of which being C genotypes. The high-frequency mutation sites L162R and K122E found in this study have not been reported in previous literature.ConclusionThe results of this study confirmed that MHR mutations can cause the missed detection of HBsAg, giving rise to OBI.
Ischemic stroke outcome prediction with diversity features from whole brain tissue using deep learning network
Authors: Yang Yingjian , Guo Yingwei 
Published: May 2024

ObjectivesThis study proposed an outcome prediction method to improve the accuracy and efficacy of ischemic stroke outcome prediction based on the diversity of whole brain features, without using basic information about patients and image features in lesions.DesignIn this study, we directly extracted dynamic radiomics features (DRFs) from dynamic susceptibility contrast perfusion-weighted imaging (DSC-PWI) and further extracted static radiomics features (SRFs) and static encoding features (SEFs) from the minimum intensity projection (MinIP) map, which was generated from the time dimension of DSC-PWI images. After selecting whole brain features Ffuse from the combinations of DRFs, SRFs, and SEFs by the Lasso algorithm, various machine and deep learning models were used to evaluate the role of Ffuse in predicting stroke outcomes.ResultsThe experimental results show that the feature Ffuse generated from DRFs, SRFs, and SEFs (Resnet 18) outperformed other single and combination features and achieved the best mean score of 0.971 both on machine learning models and deep learning models and the 95% CI were (0.703, 0.877) and (0.92, 0.983), respectively. Besides, the deep learning models generally performed better than the machine learning models.ConclusionThe method used in our study can achieve an accurate assessment of stroke outcomes without segmentation of ischemic lesions, which is of great significance for rapid, efficient, and accurate clinical stroke treatment.
Classification of multiple primary lung cancer in patients with multifocal lung cancer: assessment of a machine learning approach using multidimensional genomic data
Authors: Pei Guotian , Sun Kunkun , Yang Yingshun , Wang Shuai , Li Mingwei , Ma Xiaoxue , Wang Huina , Chen Libin , Qin Jiayue , Cao Shanbo , Liu Jun , Huang Yuqing 
Published: May 2024

BackgroundMultiple primary lung cancer (MPLC) is an increasingly well-known clinical phenomenon. However, its molecular characterizations are poorly understood, and still lacks of effective method to distinguish it from intrapulmonary metastasis (IM). Herein, we propose an identification model based on molecular multidimensional analysis in order to accurately optimize treatment.MethodsA total of 112 Chinese lung cancers harboring at least two tumors (n = 270) were enrolled. We retrospectively selected 74 patients with 121 tumor pairs and randomly divided the tumor pairs into a training cohort and a test cohort in a 7:3 ratio. A novel model was established in training cohort, optimized for MPLC identification using comprehensive genomic profiling analyzed by a broad panel with 808 cancer-related genes, and evaluated in the test cohort and a prospective validation cohort of 38 patients with 112 tumors.ResultsWe found differences in molecular characterizations between the two diseases and rigorously selected the characterizations to build an identification model. We evaluated the performance of the classifier using the test cohort data and observed an 89.5% percent agreement (PA) for MPLC and a 100.0% percent agreement for IM. The model showed an excellent area under the curve (AUC) of 0.947 and a 91.3% overall accuracy. Similarly, the assay achieved a considerable performance in the independent validation set with an AUC of 0.938 and an MPLC predictive value of 100%. More importantly, the MPLC predictive value of the classification achieved 100% in both the test set and validation cohort. Compared to our previous mutation-based method, the classifier showed better κ consistencies with clinical classification among all 112 patients (0.84 vs. 0.65, p &lt;.01).ConclusionThese data provide novel evidence of MPLC-specific genomic characteristics and demonstrate that our one-step molecular classifier can accurately classify multifocal lung tumors as MPLC or IM, which suggested that broad panel NGS may be a useful tool for assisting with differential diagnoses.
Negation and social avoidance in language recruits the right inferior frontal gyrus: a tDCS study
Authors: García-Marco Enrique , Nuez Trujillo Aarón , Padrón Iván , Ravelo Yennifer , Fu Yang , Marrero Hipólito 
Published: May 2024

IntroductionIn the process of comprehension, linguistic negation induces inhibition of negated scenarios. Numerous studies have highlighted the role of the right Inferior Frontal Gyrus (rIFG) - a key component of the inhibitory network - in negation processing. Social avoidance can be linguistically portrayed using attitudinal verbs such as “exclude” vs. “include”, which inherently carry negative connotations. Consequently, we hypothesize that the interplay between explicit negation and the implicit negativity of avoidance verbs can be modulated via transcranial direct current stimulation (tDCS) targeting the rIFG.MethodsIn our study, sixty-four participants read approach/avoidance sentences, which were either affirmative or negative, such as “Anne included (did not include) meat in her diet” vs. “Anne excluded (did not exclude) meat in her diet”. This reading task followed a 20-minute tDCS session. The sentences were sequentially displayed, and at 1500 ms post-sentence, a verb was shown – either the one previously mentioned or its semantic alternative counterpart (e.g., included vs. excluded).ResultsFindings revealed that anodal stimulation intensifies the inhibitory impact of negation during sentence comprehension. Under anodal conditions, negative sentences led to extended reading times for the mentioned verbs compared to their affirmative counterparts, suggesting an increased inhibitory effect on the verb. Furthermore, in avoidance sentences, anodal stimulation resulted in reduced reading times for alternative verbs (e.g. “included”) in negative sentences compared to alternative verbs (e.g. “excluded”) in negated approach sentences.DiscussionAs “avoidance” is semantically equivalent to “non-approach”, the inhibitory effect of negation is primarily applied to the implicit negation: NOT EXCLUDED = NOT→NOT (INCLUDED), which consequently activates the representation of the alternative verb making it more available. We further discuss these findings in light of the rIFG’s pivotal role in processing attitudinal verbs and linguistic negation. This discussion is framed within the overarching context of the two-step model of negation processing, highlighting its significance in the realm of social communication.
A comparison of univariate and meta-analytic structural equation modeling approaches to reliability generalization applied to the Maslach Burnout Inventory
Authors: Aguayo-Estremera Raimundo , Cañadas-De la Fuente Gustavo R. , Ariza Tania , Ortega-Campos Elena , Gómez-Urquiza José Luis , Romero-Béjar José Luís , De la Fuente-Solana Emilia I. 
Published: May 2024

IntroductionReliability is a property of tests scores that varies from sample to sample. One way of generalizing reliability of a test is to perform a meta-analysis on some reliability estimator. In 2011, a reliability generalization meta-analysis on the Maslach Burnout Inventory (MBI) was conducted, concluding that average alpha values for the MBI dimensions ranged from 0.71 to 0.88. In the present study, we aimed to update the average reliability values of the MBI by conducting a literature search from 2010 until now and comparing to statistical procedures of meta-analysis: the Univariate approach, that were used in the previous study, and a novel meta-analytic approach based on structural equation modeling.MethodAn estimation of average reliability was done based on 69 independent primary reliability coefficients for the Univariate approach. The average reliability was based on 9 independent studies in the case of the Meta-analytic Structural Equation Modeling (MASEM) approach. Given that MASEM has the additional capability of testing the internal structure of a test, we also fitted several models.ResultsThe data was well-suited to the bifactor model, revealing the dominance of the general factor over the domain-specific ones. Acceptable overall alpha and omega coefficients were achieved for the two of the MBI dimensions, having depersonalization reliability estimates below recommendations.DiscussionIn general, the MBI can be viewed as a highly interconnected three-factor scale, being its appropriate for research purposes.
Bored to death: Artificial Intelligence research reveals the role of boredom in suicide behavior
Authors: Lissak Shir , Ophir Yaakov , Tikochinski Refael , Brunstein Klomek Anat , Sisso Itay , Fruchter Eyal , Reichart Roi 
Published: May 2024

BackgroundRecent advancements in Artificial Intelligence (AI) contributed significantly to suicide assessment, however, our theoretical understanding of this complex behavior is still limited.ObjectiveThis study aimed to harness AI methodologies to uncover hidden risk factors that trigger or aggravate suicide behaviors.MethodsThe primary dataset included 228,052 Facebook postings by 1,006 users who completed the gold-standard Columbia Suicide Severity Rating Scale. This dataset was analyzed using a bottom-up research pipeline without a-priory hypotheses and its findings were validated using a top-down analysis of a new dataset. This secondary dataset included responses by 1,062 participants to the same suicide scale as well as to well-validated scales measuring depression and boredom.ResultsAn almost fully automated, AI-guided research pipeline resulted in four Facebook topics that predicted the risk of suicide, of which the strongest predictor was boredom. A comprehensive literature review using APA PsycInfo revealed that boredom is rarely perceived as a unique risk factor of suicide. A complementing top-down path analysis of the secondary dataset uncovered an indirect relationship between boredom and suicide, which was mediated by depression. An equivalent mediated relationship was observed in the primary Facebook dataset as well. However, here, a direct relationship between boredom and suicide risk was also observed.ConclusionIntegrating AI methods allowed the discovery of an under-researched risk factor of suicide. The study signals boredom as a maladaptive ‘ingredient’ that might trigger suicide behaviors, regardless of depression. Further studies are recommended to direct clinicians’ attention to this burdening, and sometimes existential experience.
Thermodynamics, thermal performance and climate change: temperature regimes for bumblebee (Bombus spp.) colonies as examples of superorganisms
Authors: Kevan Peter G. , Rasmont Pierre , Martinet Baptiste 
Published: May 2024

Evidence is widespread that many species of Bombus are in population and biogeographical decline in response to adverse effects of global climate warming. The complex interactions of the mechanisms at the root of the declines are poorly understood. Among the numerous factors, we posit that heat stress in the nests could play a key role in the decline of bumblebee species. The similarity of the optimum temperature range in incubating nests is remarkable, about 28–32 °C regardless of species from the cold High Arctic to tropical environments indicates that the optimal temperature for rearing of brood in Bombus spp. is a characteristic common to bumblebees (perhaps a synapomorphy) and with limited evolutionary plasticity. We do note that higher brood rearing temperature for the boreal and Arctic species that have been tested is stressfully high when compared with that for B. terrestris. The Thermal Neutral Zone (TNZ), temperatures over which metabolic expenditure is minimal to maintain uniform nest temperatures, has not been studied in Bombus and may differ between species and biogeographic conditions. That heat stress is more serious than chilling is illustrated by the Thermal Performance Curve Relationship (TPC) (also sometimes considered as a Thermal Tolerance Relationship). The TPC indicates that development and activity increase more slowly as conditions become warmer until reaching a plateau of the range of temperatures over which rates of activity do not change markedly. After that, activity rates decline rapidly, and death ensues. The TPC has not been studied in eusocial bees except Apis dorsata but may differ between species and biogeographic conditions. The importance of the TPC and the TNZ indicates that environmental temperatures in and around bumblebee nests (which have been rarely studied especially in the contexts of nest architecture and substrate thermal characteristics) are factors central to understanding the adverse effects of heat stress and climatic warming on bumblebee populations, health, and biogeographical decline.
Perbandingan Performa Logika Fuzzy Tipe-1 Dan Logika Fuzzy Tipe-2 Pada Sistem Pasteurisasi Susu Berbasis Mikrokontroler
Authors: Taufiqurrahman Dhiyaa Rifqi , Pohan Muhammad Aria Rajasa 
Published: May 2024

Susu merupakan bahan makanan yang mudah rusak, untuk memperpanjang ketahanan susu dapat dilakukan teknik pemanasan yang disebut dengan pasteurisasi. Proses pasteurisasi tersebut bertujuan untuk membunuh bakteri patogen yang dapat membahayakan kesehatan manusia dan meminimalkan perkembangan mikroorganisme pembusuk lainnya. Penelitian ini bertujuan untuk merancang sistem pasteurisasi susu yang mampu mengatur suhu secara stabil pada proses pasteurisasi susu metode High Temperature Short Time (HTST) menggunakan logika fuzzy tipe-1 dan logika fuzzy tipe-2. Logika fuzzy tipe-2 merupakan pengembangan lebih lanjut dari logika fuzzy tipe-1, dengan adanya tambahan dimensi dari fungsi keanggotaannya, memungkinkan sistem logika fuzzy tipe-2 dapat merepresentasikan himpunan fuzzy yang lebih fleksibel dan dapat merepresentasikan ketidakpastian lebih baik daripada logika fuzzy tipe-1. Dua pengujian dilakukan untuk membandingkan performansi kedua sistem tersebut yaitu pada kondisi tanpa adanya gangguan (noise) dan kondisi dengan adanya gangguan. Hasilnya menunjukkan bahwa pada pengujian tanpa adanya gangguan, logika fuzzy tipe-2 unggul dalam hal maximum overshoot, sedangkan logika fuzzy tipe-1 unggul dalam rise time. Namun, dalam pengujian dengan adanya gangguan, logika fuzzy tipe-2 lebih baik dalam mencapai rise time dan settling time, serta mampu menjaga suhu tetap maupun mendekati setpoint lebih lama dibandingkan dengan logika fuzzy tipe-1.
A importância do enfermeiro na assistência psicoafetiva materna e neonatal na unidade de terapia intensiva
Authors: Sabino Camile Xavier , Rodrigues Ananda Ewelin da Silva , Pereira Deivison de Souza , André Luana Silva , Corrêa Glória Maria Lisboa , Araújo Lorrane Teixeira de , Costa Carla Monique Lavareda 
Published: May 2024

Objetivo: Destacar a importância do enfermeiro na assistência psicoafetiva materna e neonatal em unidades de cuidados intensivos, a partir da literatura científica. Métodos: Trata-se de uma Revisão Integrativa da Literatura, desenvolvido em quatro etapas, sendo estas: formulação da pergunta de pesquisa; posteriormente foram definidos critérios de inclusão e exclusão; filtragem dos materiais coletados, interpretação e discussão dos artigos selecionados na íntegra para leitura. Resultados: Ao fim das buscas, obteve-se a amostra final de 5 pesquisas, as quais foram publicados entre os anos de 2019 a 2020, sendo 3 deles de origem brasileira, além dos internacionais contendo uma produção turca (1) e uma coreana (1). Nas análises foram identificados angústias e sentimentos pelos quais as mães e demais familiares passam enquanto o neonato está presente na Unidade de Cuidados Intermediários, tendo o enfermeiro extrema relevância nos cuidados psicoafetivos dos pais para com o recém-nascido. Considerações Finais: conclui-se que os enfermeiros são responsáveis por direcionar, acolher e introduzir a família, principalmente a mãe, no cuidado ao recém-nascido, sendo um ponto de ligação que fortalece esse contato, tendo desafios, também, que podem comprometer essa aproximação, entre eles, as políticas dos hospitais e a falta de orientações e treinamento apropriado dos profissionais.