bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANALISIS CREDIT CRUNCH BANK UMUM KONVENSIONAL DAN BANK UMUM SYARIAH DI INDONESIA
Authors: Kurniawati Ria , Halisa Novia Nour 
Published: November 2023

Penelitian ini bertujuan untuk menganalisis credit crunch pada Bank Umum Konvensional maupun Bank Umum Syariah ditinjau dari rasio NPL/NPF dan CAR sebagai variabel dependen. Populasi dalam penelitian ini adalah seluruh bank umum di Indonesia yang beroperasional baik secara konvensional maupun syariah. Teknik pengambilan sampel dilakukan dengan metode purposive sampling dimana kriteria pengambilan sampel dilihat dari Bank Umum Konvensional dan Bank Umum Syariah yang melaporkan keuangannya secara lengkap untuk CAR dan NPL/NPF. Berdasarkan kriteria pengambilan sampel tersebut didapatkan masing-masing 15 Bank Umum Konvensional dan Bank Umum Syariah sebagai sampel penelitian. Metode analisis yang digunakan dalam penelitian ini menggunakan analisis manova yaitu suatu analisis untuk mengukur pengaruh variabel independen yang berskala kategorik terhadap beberapa variabel dependen sekaligus yang berskala data kuantitatif. Hasil penelitian didapatkan nilai NPL rata-rata Bank Umum Konvensional sebesar 2,85% dan NPF rata-rata Bank Umum Syariah sebesar 3,39%. Selanjutnya, CAR rata-rata Bank Umum Konvensional sebesar 23,25% sedangkan CAR rata-rata Bank Umum Syariah sebesar 23,16%. Dilihat dari masing-masing effect memiliki nilai signifikansi sebesar 0,575 (lebih besar dari 0,05) yang artinya Bank Umum Konvensional dan Bank Umum Syariah tidak berbeda nyata terkait kondisi credit crunch.
PENGARUH ROE, NPM, GPM DAN EPS TERHADAP HARGA SAHAM PERUSAHAAN LQ45 TERDAFTAR DI BEI PERIODE 2016-2019
Authors: SARI DIAN INDAH 
Published: November 2023

Penilitian ini bertujuan untuk mengetahui pengaruh ROE, NPM, GPM dan EPS terhadap Harga Saham perusahaan LQ45 terdaftar di BEI periode 2016-2019.Penelitian ini merupakan penelitian kuantitatif dimana informasi yang diperoleh dari data sekunder. Strategi pengumpulan informasi adalah studi Pustaka. Informasi dalam penelitian ini berasal dari website Bursa Efek Indonesia. Data tersebut berasal dari perusahaan LQ45 yang terdaftar di Bursa Efek Indonesia dari tahun 2016 hingga 2019. Teknik pengampilan sampel secara acak. Teknik analisis data menggunakan SPSS Versi 24. Kesimpulan yang diperoleh berdasarkan pembahasan di atas sebagai berikut: pertama, ROE berpengaruh signifikan dan positif terhadap Harga Saham pada perusahaan LQ45 terdaftar di Bursa Efek Indonesia periode 2016 â€“ 2019. Kedua, variabel NPM tidak berpengaruh signifikan dan positif terhadap harga saham perusahaan LQ45 terdaftar di Bursa Efek Indonesia periode 2016 â€“ 2019. Ketiga, Variabel GPM berpengaruh signifikan dan positif terhadap harga saham pada perusahaan LQ45 terdaftar di Bursa Efek Indonesia periode 2016 â€“ 2019. Keempat, variabel EPS berpengaruh signifikan dan positif terhadap Harga Saham pada perusahaan LQ45 terdaftar di Bursa Efek Indonesia periode 2016 â€“ 2019. Kelima variabel ROE, NPM, GPM dan EPS secara simultan berpengaruh signifikan dan positif terhadap harga saham pada perusahaan LQ45 terdaftar di Bursa Efek Indonesia periode 2016 â€“ 2019.
Pengaruh Indeks Harga Konsumen, Inflasi, Dan Kemiskinan Terhadap Produk Domestik Bruto Provinsi Jawa Timur
Authors: Munir Muh. Misbakhul , Nurohman Dede 
Published: November 2023

Penelitian ini bertujuan untuk menjelaskan Indeks Harga Konsumen (IHK), inflasi, kemiskinan yang mempengaruhi Produk Domestik Bruto (PDB) provinsi Jawa Timur. Pengambilan sampel dilakukan dengan teknik nonprobability sampling. Sampel dalam penelitian ini data time series dari tahun 2009 sampai 2018 yang diambil dari website resmi Badan Pusat Statistik (BPS) provinsi Jawa Timur. Analisis data yang digunakan adalah uji asumsi klasik, uji regresi linier berganda, uji hipotesis. Hasil penelitian menunjukkan bahwa IHK, inflasi tidak berpengaruh signifikan terhadap PDB, kemiskinan berpengaruh signifikan terhadap PDB, dan IHK, inflasi, kemiskinan secara simultan melalui uji f berpengaruh terhadap PDB. Berdasarkan hasil penelitian, diharapkan Pemerintah Provinsi Jawa Timur dapat meningkatkan jumlah lapangan pekerjaan untuk mengurangi tingkat kemiskinan, serta meningkatkan jumlah pendapatan untuk memberikan kontribusi terhadap pertumbuhan PDB. Selain itu pemerintah perlu tetap mengontrol tingkat inflasi agar nilai dari IHK dapat terkendali.
PENGARUH KEPUASAN KERJA, PERANCANGAN DAN PENERAPAN BALANCED SCORECARD DAN PENILAIAN KINERJA TERHADAP PRODUKTIVITAS KARYAWAN PADA PT. TRIPILAR CIPTA INOVASI
Authors: Trianto Eko , Lukito Laksono Edhi 
Published: November 2023

Penelitian ini bertujuan untuk mengetahui pengaruh kepuasan kerja, perancangan & penerapan balanced scorecard dan penilaian kinerja terhadap produktivitas karyawan pada PT. Tripilar Cipta Inovasi. Penelitian ini menggunakan metode Kuantitatif, data yang digunakan merupakan data primer dimana proses pengumpulan datanya dilakukan melalui survey secara langsung, Populasi dalam penelitian ini sebanyak 127 karyawan dan diperoleh sample sebanyak 96 responden dengan sample yang digunakan yaitu sample teknik Proportionate Stratifed Random Sampling. teknik analisis data yang digunakan pada penelitian ini adalah regresi berganda, serta diolah mengunakan software SPSS versi 23. Hasil Penelitian menunjukkan secara parsial variabel kepuasan kerja berpengaruh secara positif dan signifikan terhadap produktivitas karyawan, kemudian variabel penerapan balanced scorecard secara parsial berpengaruh positif dan signifikan terhadap produktivitas karyawan, secara parsial penilaian kinerja terhadap produktivitas karyawan perpengaruh positif dan signifikan terhadap produktivitas karyawan, sementara secara bersama-sama atau simultan variabel kepuasan kerja, perancangan & penerapan balanced scorecard dan penilaian kinerja berpegruh positif dan sigifikn terhadap produktivitas karyawan pada PT. Tripilar Cipta Inovasi
PENGARUH HALAL KNOWLEDGE, RELIGIUSITAS, SIKAP KONSUMEN GENERASI Z TERHADAP PERILAKU KONSUMEN PRODUK KOSMETIK HALAL DALAM NEGERI STUDI KUANTITATIF DI LINGKUNGAN KOTA TANGERANG
Authors: Kusuma Rusbiansyah Perdana , Kurniawati Ria 
Published: November 2023

Mengkonsumsi produk halal merupakan masalah sosial yang ada di masyarakat dan menjadi tanggung jawab negara. Negara melalui pemerintah memiliki kewajiban untuk menjamin kehalalan suatu produk dan kejujuran para produsen. Saat ini masyarakat muslim sangat memperhatikan status kehalalan suatu produk karena kewajiban mentaati agama dan juga ilmunya. Peningkatan pertumbuhan industri kosmetik halal tercermin dari meningkatnya kesadaran konsumen terhadap bahan-bahan yang terkandung sebagai informasi yang mudah mereka dapatkan. Salah satu faktor yang mempengaruhi peningkatan permintaan produk halal adalah informasi dan pengetahuan konsumen. Penelitian ini bertujuan untuk mengetahui apakah tingkat pengetahuan dan religiusitas konsumen Generasi Z terhadap perilaku pembelian produk kosmetik halal dengan menggunakan Consumer Attitude sebagai variabel intervensi. Penelitian ini menggunakan metode kuantitatif, dengan menggunakan data primer. Populasi dalam penelitian ini adalah seluruh konsumen kosmetik halal generasi Z berasal dari Universitas Islam Sheikh-Yusuf Tangerang.. Teknik pengumpulan data dilakukan dengan menyebarkan kuesioner melalui google form yang kemudian data tersebut akan diolah dan dianalisis menggunakan Partial Least Perangkat pengolah data square (PLS) yang menggunakan metode random bootstrap atau perkalian untuk memastikan bahwa asumsi normalitas tidak menjadi masalah bagi PLS.
PENGARUH KEMAMPUAN KERJA TERHADAP KINERJA PEGAWAI (STUDI KASUS PADA PT SARIGUNA PRIMATIRTA GARUT)
Authors: Sugiayasin Risan , Solihin Yuda Ahmad 
Published: November 2023

Penelitian ini di latar belakangi oleh kinerja pegawai bagian produksi PT Sariguna Primatirta Garut yang dirasa masih kurang optimal. Fenomena ini dapat disebabkan oleh beberapa faktor diantaranya masih ada hasil penilaian kinerja pegawai yang berkategori kurang baik dan target pencapain belum maksimal. Tujuan dari penelitian ini untuk mengetahui bagaimana gambaran kemampuan kerja, dan kinerja pegawai bagian produksi di PT Sariguna Primatirta Garut. Dan untuk mengetahui bagaimana pengaruh kemampuan kerja terhadap kinerja pegawai bagian produksi di PT Sariguna Primatirta Garut. Metode penelitian yang digunakan adalah metode deskrirptif asosiatif kausal. Adapun populasi dalam penelitian ini berjumlah 36 orang atau seluruh pegawai bagian produksi PT Sariguna Primatirta Garut. Kemudian sampel yang digunakan adalah sampel jenuh. Selanjutnya pengolahan data didapat dari kuesioner yang disebar kemudian di uji melalui pengujian validitas dan reliabilitas. Dan teknik analis data menggunakan uji korelasi rank spearman, dan uji koefesien determinasi. Berdasarkan hasil pengolahan data yang diperoleh untuk uji validitas rata-rata diatas 0,339 . Kemudian untuk uji reliabilitas pengolahan data yang diperoleh untuk variabel kemampuan kerja sebesar 0,612. Selanjutnya untuk variabel kinerja pegawai sebesar 0,639.Selanjutnya untuk pengolahan teknik analis data uji korelasi rank spearman antara variabel kemampuan kerja terhadap kinerja pegawai diperoleh korelasi sebesar 0,626 hal ini menunjukan adanya pengaruh yang kuat dan uji koefesien determinasi sebesar 0,391 atau 39,1% dan sisanya sebesar 60,9% dipengaruhi oleh faktor lain yang tidak dibahas pada penelitian ini.
Development of an antimicrobial resistance plasmid transfer gene database for enteric bacteria
Authors: Algarni Suad , Foley Steven L. , Tang Hailin , Zhao Shaohua , Gudeta Dereje D. , Khajanchi Bijay K. , Ricke Steven C. , Han Jing 
Published: November 2023

Introduction: Type IV secretion systems (T4SSs) are integral parts of the conjugation process in enteric bacteria. These secretion systems are encoded within the transfer (tra) regions of plasmids, including those that harbor antimicrobial resistance (AMR) genes. The conjugal transfer of resistance plasmids can lead to the dissemination of AMR among bacterial populations.Methods: To facilitate the analyses of the conjugation-associated genes, transfer related genes associated with key groups of AMR plasmids were identified, extracted from GenBank and used to generate a plasmid transfer gene dataset that is part of the Virulence and Plasmid Transfer Factor Database at FDA, serving as the foundation for computational tools for the comparison of the conjugal transfer genes. To assess the genetic feature of the transfer gene database, genes/proteins of the same name (e.g., traI/TraI) or predicted function (VirD4 ATPase homologs) were compared across the different plasmid types to assess sequence diversity. Two analyses tools, the Plasmid Transfer Factor Profile Assessment and Plasmid Transfer Factor Comparison tools, were developed to evaluate the transfer genes located on plasmids and to facilitate the comparison of plasmids from multiple sequence files. To assess the database and associated tools, plasmid, and whole genome sequencing (WGS) data were extracted from GenBank and previous WGS experiments in our lab and assessed using the analysis tools.Results: Overall, the plasmid transfer database and associated tools proved to be very useful for evaluating the different plasmid types, their association with T4SSs, and increased our understanding how conjugative plasmids contribute to the dissemination of AMR genes.
Exploring clonality and virulence gene associations in bloodstream infections using whole-genome sequencing and clinical data
Authors: Neidhöfer Claudio , Neuenhoff Marcel , Jozič Robert , Atangcho Brenda , Unsleber Sandra , Neder Ulrike , Grumaz Silke , Parčina Marijo 
Published: November 2023

BackgroundBloodstream infections (BSIs) remain a significant cause of mortality worldwide. Causative pathogens are routinely identified and susceptibility tested but only very rarely investigated for their resistance genes, virulence factors, and clonality. Our aim was to gain insight into the clonality patterns of different species causing BSI and the clinical relevance of distinct virulence genes.MethodsFor this study, we whole-genome-sequenced over 400 randomly selected important pathogens isolated from blood cultures in our diagnostic department between 2016 and 2021. Genomic data on virulence factors, resistance genes, and clonality were cross-linked with in-vitro data and demographic and clinical information.ResultsThe investigation yielded extensive and informative data on the distribution of genes implicated in BSI as well as on the clonality of isolates across various species.ConclusionAssociations between survival outcomes and the presence of specific genes must be interpreted with caution, and conducting replication studies with larger sample sizes for each species appears mandatory. Likewise, a deeper knowledge of virulence and host factors will aid in the interpretation of results and might lead to more targeted therapeutic and preventive measures. Monitoring transmission dynamics more efficiently holds promise to serve as a valuable tool in preventing in particular BSI caused by nosocomial pathogens.
First description and validation of a new method for estimating aortic stenosis burden and predicting the functional response to TAVI
Authors: de la Torre Hernandez Jose M. , Veiga Fernandez Gabriela , Ben-Assa Eyal , Iribarren Julia , Sainz Laso Fermin , Lee Dae-Hyun , Ruisanchez Villar Cristina , Lerena Piedad , Garcia Camarero Tamara , Iribarren Sarrias Jose L. , Cuesta Cosgaya Jose M. , Maza Fernandez Maria E. , Garilleti Celia , Fradejas-Sastre Victor , Benito Mercedes , Barrera Sergio , Gil Ongay Aritz , Vazquez de Prada Jose A. , Zueco Javier 
Published: November 2023

BackgroundUp to one-fifth of patients continue to have poor quality of life after transcatheter aortic valve implantation (TAVI), with an additional similar proportion not surviving 1 year after the procedure. We aimed to assess the value of a new method based on an integrated analysis of left ventricular outflow tract flow velocity and aortic pressure to predict objective functional improvement and prognosis after TAVI.MethodsIn a cohort of consecutive patients undergoing TAVI, flow velocity–pressure integrated analysis was obtained from simultaneous pressure recordings in the ascending aorta and flow velocity recordings in the left ventricular outflow tract by echocardiography. Objective functional improvement 6 months after TAVI was assessed through changes in a 6-min walk test and NT-proBNP levels. A clinical follow-up was conducted at 2 years.ResultsOf the 102 patients studied, 82 (80.4%) showed objective functional improvement. The 2-year mortality of these patients was significantly lower (9% vs. 44%, p = 0.001). In multivariate analysis, parameter “(Pressure at Vmax − Pressure at Vo)/Vmax” was found to be an independent predictor for objective improvement. The C-statistic was 0.70 in the overall population and 0.78 in the low-gradient subgroup. All echocardiographic parameters and the valvuloarterial impedance showed a C-statistic of &lt;0.6 for the overall and low-gradient patients. In a validation cohort of 119 patients, the C-statistic was 0.67 for the total cohort and 0.76 for the low-gradient subgroup.ConclusionThis new method allows predicting objective functional improvement after TAVI more precisely than the conventional parameters used to assess the severity of aortic stenosis, particularly in low-gradient patients.
Deep learning integration optimization of electric energy load forecasting and market price based on the ANN–LSTM–transformer method
Authors: Zhong Bin 
Published: November 2023

Introduction: Power load forecasting and market price analysis have become crucial in the context of complex power energy systems and volatile market prices. Deep learning technology has gained significant attention in time series forecasting, and this article aims to enhance the accuracy and reliability of power load and market price predictions by integrating and optimizing deep learning models.Methods: We propose a deep learning framework that combines artificial neural networks (ANNs), long short-term memory (LSTM), and transformer models to address key challenges in electricity load forecasting and market price prediction. We leverage ANNs for their versatility and use LSTM networks for sequence modeling to generate initial predictions. Additionally, we introduce transformer technology and utilize its self-attention mechanism to capture long-distance dependencies within the data, further enhancing the model’s performance.Results: In our experiments, we validate the proposed framework using multiple public datasets. We compare our method with traditional forecasting approaches and a single-model approach. The results demonstrate that our approach outperforms other methods in predicting power load and market prices. This increased accuracy and reliability in forecasting can be of significant value to decision-makers in the energy sector.Discussion: The integration of deep learning models, including ANN, LSTM, and transformer, offers a powerful solution for addressing the challenges in power load and market price prediction. The ability to capture long-distance dependencies using the transformer's self-attention mechanism improves forecasting accuracy. This research contributes to the field of energy and finance by providing a more reliable framework for decision-makers to make informed choices in a complex and dynamic environment.
Expression of Bruton´s tyrosine kinase in different type of brain lesions of multiple sclerosis patients and during experimental demyelination
Authors: Elkjaer Maria L. , Waede Mie R. , Kingo Christina , Damsbo Karina , Illes Zsolt 
Published: November 2023

BackgroundInhibition of Bruton’s tyrosine kinase (BTK) is an emerging multiple sclerosis (MS) therapy. BTK inhibitors (BTKi) cross the blood-brain barrier and modulate B cells and microglia, major cellular players in active and chronic active lesions.ObjectiveTo assess potential lesional and cellular targets of BTKi, we examined BTK expression in different type of MS white matter (WM) lesions, in unmanipulated CNS resident cells, and in a degenerative MS model associated with microglia activation in vivo.MethodsWe examined BTK expression by next-generation RNA-sequencing in postmortem 25 control WM, 19 NAWM, 6 remyelinating, 18 active, 13 inactive and 17 chronic active lesions. Presence of B cells and microglia were examined by immunohistochemistry. CNS resident cells were isolated from the mouse brain by magnetic sorting. BTK expression was examined by quantitative PCR in isolated cells and dissected corpus callosum from mice treated with cuprizone (CPZ).ResultsBTK expression was significantly increased in active and chronic active lesions with upregulated complement receptors and Fcγ receptors. Active lesions contained high number of perivascular B cells, microglia, and macrophages. Chronic active lesions were characterized by microglia/macrophages in the rim. Microglia expressed BTK at high level (120-fold) in contrast to other CNS cell types (2-4-fold). BTK expression was increasing during CPZ treatment reaching significance after stopping CPZ.ConclusionConsidering BTK expression in MS lesions and resident cells, BTKi may exert effect on B cells, microglia/macrophages in active lesions, and limit microglia activation in chronic active lesions, where tissue damage propagates.
Dysregulated monocyte-derived macrophage response to Group B Streptococcus in newborns
Authors: Ravi Denho , Ntinopoulou Erato , Guetta Nessim , Weier Manuela , Vogel Verena , Spellerberg Barbara , Sendi Parham , Gremlich Sandrine , Roger Thierry , Giannoni Eric 
Published: November 2023

IntroductionStreptococcus agalactiae (Group B Streptococcus, GBS) is a leading pathogen of neonatal sepsis. The host-pathogen interactions underlying the progression to life-threatening infection in newborns are incompletely understood. Macrophages are first line in host defenses against GBS, contributing to the initiation, amplification, and termination of immune responses. The goal of this study was to compare the response of newborn and adult monocyte-derived macrophages (MDMs) to GBS.MethodsMonocytes from umbilical cord blood of healthy term newborns and from peripheral blood of healthy adult subjects were cultured with M-CSF to induce MDMs. M-CSF-MDMs, GM-CSF- and IFNγ-activated MDMs were exposed to GBS COH1, a reference strain for neonatal sepsis. ResultsGBS induced a greater release of IL-1β, IL-6, IL-10, IL-12p70 and IL-23 in newborn compared to adult MDMs, while IL-18, IL-21, IL-22, TNF, RANTES/CCL5, MCP-1/CCL2 and IL-8/CXCL8 were released at similar levels. MDM responses to GBS were strongly influenced by conditions of activation and were distinct from those to synthetic bacterial lipopeptides and lipopolysaccharides. Under similar conditions of opsonization, newborn MDMs phagocytosed and killed GBS as efficiently as adult MDMs. DiscussionAltogether, the production of excessive levels of Th1- (IL-12p70), Th17-related (IL-1β, IL-6, IL-23) and anti-inflammatory (IL-10) cytokines is consistent with a dysregulated response to GBS in newborns. The high responsiveness of newborn MDMs may play a role in the progression of GBS infection in newborns, possibly contributing to the development of life-threatening organ dysfunction.
Preparation and properties of antistatic high-strength aramid III/MWCNTs-OH fibers
Authors: Zhang Dingyi , Yu Wenhe , Ni Yalin , Hao Xiangyang , Lu Fenghao , Xu Haijia 
Published: November 2023

Composite fibers made from aramid III and hydroxylated multiwalled carbon nanotubes (MWCNTs-OH) combine the excellent mechanical and electrical properties of both components, resulting in strong antistatic performance. However, it is of paramount importance to ensure the homogeneous dispersion of multi-walled carbon nanotubes functionalized with hydroxyl groups (MWCNTs-OH) within the aramid III spinning solution and optimize the compatibility between the two constituents to augment the overall performance of the composite fibers. To this end, this investigation successfully accomplished the dispersion of MWCNTs-OH in the spinning solution and probed the dispersion mechanism using molecular dynamics simulations. Moreover, composite fibers, comprising 2.4 weight percent MWCNTs-OH, were initially fabricated using the wet spinning method. These fibers displayed a uniform texture and a tensile strength of 1.210 GPa, signifying a noteworthy enhancement of 113.25% in comparison to the strength prior to modification. With respect to thermal behavior, the fibers exhibited a mass reduction of 21.24% within the temperature range of 0°C–538°C. In the temperature interval from 538°C to 800°C, the mass loss diminished to 10.31%, representing a substantial 71.03% reduction when compared to the unmodified state. Remarkably, even when subjected to temperatures exceeding 800°C, the composite fibers retained a residual mass of 68.45%, indicating a notable 61.17% increase from their initial condition. In terms of electrical properties, the fibers exhibited a specific resistance (ρ) of 3.330 × 109 Ω cm, demonstrating effective antistatic behavior. In summary, the antistatic composite fibers studied in this paper can effectively mitigate the hazards of static electricity in various applications, including military protection and engineering equipment in both military and civilian fields.