bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of variety and nitrogen fertilizer managements on the growth and yield of Transplant aman rice managements
Authors: Chhanda Tanjida Afrin , Rahman Sarkar Md Abdur , Perveen Suriaya , Hossain Md Mosharaf , Hasan Ahmed Khairul 
Published: January 2022

Varietal selection and appropriate placement of nitrogen fertilizer could reduce the magnitude of nitrogen losses to a considerable extent and improve its use efficiency for better grain production. An experiment was carried out during the period from July to December at the Agronomy Field Laboratory, Bangladesh Agricultural University, Mymensingh to evaluate the effect of variety and nitrogen fertilizer management on the growth and yield of transplant aman rice. The treatments consisted of three varieties viz. BR11, BRRI dhan49 and Binadhan-7, and five nitrogen fertilizer managements viz. two depth of placement of USG (Urea Super Granule) and three split applications of prilled urea. The experiment was laid out in a randomized complete block design with three replications. The results showed that the effect of variety and nitrogen fertilizer management significantly influenced all the yield contributing characters except weight of 1000- grains, non-effective tillers hill-1 and panicle length. The highest grain yield (3.69 t ha-1) was obtained from Binadhan-7. In the case of nitrogen fertilizer management, the highest grain yield (4.32 t ha-1) was found from the 6 cm depth placement of USG. The highest grain yield (4.82 t ha- 1) was observed from the interaction of Binadhan-7 with the 6 cm depth of placement of USG. It may be concluded that Binadhan-7 with 6 cm depth of placement of USG appeared as the promising practice to maximize the yield of transplant aman rice.
Res. Agric., Livest. Fish.8(3): 281-289, December 2021
Students’ Perceptions on the Use of English as Medium of Instruction (EMI) at The International Class of The Economic Development Study Program of The Faculty of Economic & Business of University of Bengkulu
Authors: Tanjung Muhammad Rafiq , Azwandi Azwandi , Sufiyandi Sufiyandi 
Published: January 2022

The objective of this research is to investigate the students’ perceptions on the use of English as a Medium of Instruction (EMI) at the International Class of Economic Development Study Program Faculty of Economics and Business of University of Bengkulu. This research used descriptive quantitative survey design. Questionnaire and interview were the instrument of the research. The questionnaire was distributed to all population of this research, which was 19 students. The sample of the interview was 5 students. The result of this research showed that most of the respondents were positive with the statements given. In perceiver dimension, positive responses were the highest consisting of 37.9% of students agreed and 26.3% of students strongly agreed. In target dimension, positive responses were the highest consisting of 48.1% of students agreed and 32.3% of students strongly agreed. Meanwhile, in situation dimension positive responses were also the highest percentage consisting of 44.7% of students agreed and 9.2% of students strongly agreed. In conclusion, the majority of the students are positive with the EMI program in their class either in terms of perceiver, target, and situation. However, more than half of the students were not confident in terms of communicating with English in learning process. Besides, the implementation was still partial in most courses.
ERROR ANALYSIS OF USING AUXILIARY VERBS IN WRITING DESCRIPTIVE TEXT
Authors: Sembiring Rony Arahta , Sibarani Agnes Shinta Marito , Mangaraja Jeli Elvira 
Published: January 2022

Grammar is complexity in learning English it makes many students often commit errors in learning. Making errors in writing is one of the processes for learning English .The aim of this research was to describe the students’ errors and its causes in using auxiliary verbs in the sentences. In this research, the writer limited the discussion on the error made by the students in using auxiliary verbs. The design of this research was quantitative approach in a form of descriptive analysis (percentage) that included observation, collecting the data the researcher used test as the instrument. The writer conducted the research to 31 students in first semester of English Literature in academic 2021/2022. The data were analyzed by using error analysis method. The error types were classified based on linguistic category, especially surface strategy taxonomy. The writer classified the types of error into omission, addition, misformation, and misordering. Among those four types, the most frequency error was misformation that reached 102 errors or 61.44% . the other finding was the sources of error which are divided into three categories. Those are interlingual errors, intralingual errors, and communicative strategies. Communicative strategies errors is the most common source of error, there were 45.78%
Segurança da aplicabilidade da eletroestimulação neuromuscular na hemodinâmica de pacientes nas UTI’s como prevenção da polineuromiopatia: uma revisão de literatura
Authors: Felix Lisiane Lima , Albuquerque Cyntia Fonseca do Rêgo Barros e , Queiroz Harrison Euller Vasconcelos , Silva Flávia Carolina Lasalvia da , Monte Eudson José Santos do , Nascimento Amanda Fonseca do , Laurindo Ingrid Larissa da Silva , Rodrigues Mateus Porfirio , Santos Camila Ellen Pinheiro dos , Passos Manoela Gouveia dos , Moraes Klyvia Juliana Rocha de , Nóbrega Júnior José Carlos Nogueira 
Published: January 2022

Objetivo: Asseverar a segurança da aplicabilidade da eletroestimulação neuromuscular em pacientes nas UTI’s como prevenção da polineuromiopatia. Métodos: O presente estudo expõe-se como uma revisão de literatura, com as buscas realizadas nas bases de dados PubMed, SciELO, Medline e Cochrane desde o início de março até abril de 2020, não havendo restrição de idiomas, sendo sua análise descritiva realizada no período de maio a junho do mesmo ano. Foram inseridos artigos que contivessem informações sobre segurança e efeitos da aplicabilidade da técnica nos desfechos, levando-se em conta as possíveis alterações de hemodinâmica. Resultados: Foram identificados 234 estudos relevantes, dos quais 215 foram excluídos por não apresentarem desfechos de interesse e segurança, e inclusos 5 ensaios clínicos randomizados. O tamanho da amostra variou entre 11 e 54 pacientes de ambos os sexos, com faixa etária variando entre 18 e 82 anos, fazendo uso ou não de ventilação mecânica invasiva, submetidos à estimulação elétrica neuromuscular em pacientes graves. Dos artigos selecionados, todos analisaram a influência da estimulação elétrica neuromuscular e não constataram efeitos adversos que influenciassem no estado clínico do paciente. Conclusão: Os resultados das análises sugerem que a eletroestimulação neuromuscular (EENM) pode ser implementada nas UTI’s para recuperação e prevenção da polineuromiopatia, pois a ausência de efeitos secundários maléficos ou significativos enfatiza tal afirmação.
PERAN BADAN PENELITIAN DAN PENGEMBANGAN KEMENTERIAN DALAM NEGERI DALAM MENGIMPLEMENTASIKAN INOVASI DAERAH SESUAI DENGAN PERATURAN PEMERINTAH NOMOR 38 TAHUN 2017 TENTANG INOVASI DAERAH
Authors: Simanungkalit David Julianto , Prasojo Eko 
Published: January 2022

Penelitian ini bertujuan untuk melihat dan menganalisis bagaimana kebijakan inovasi diimplementasikan oleh Badan Penelitian dan Pengembangan Kementerian Dalam Negeri. Penelitian ini menggunakan paradigma post-positivisme dengan metode penelitian kualitatif. Wawancara mendalam serta studi dokumen dilakukan untuk memperoleh data dan informasi yang diperlukan. Implementasi yang dilaksanakan mulai dari tingkat pimpinan hingga bawahan dan berkolaborasi dengan berbagai aktor diharapkan dapat menjadi tonggak utama pelaksanaan inovasi daerah sehingga berdayaguna untuk meningkatkan kesejahteraan rakyat dan kemandirian daerah. Namun untuk meningkatkan kualitas pelaksanaan program inovasi daerah tersebut masih dibutuhkan penguatan peran BPP Kemendagri meliputi aspek sumber daya manusia, program, dan anggaran.
Kata Kunci: implementasi, inovasi daerah.
IMPLEMENTASI PERATURAN DAERAH NOMOR 13 TAHUN 2018 TENTANG PENEMPATAN TENAGA KERJA LOKAL DI KOTA PEKANBARU PROVINSI RIAU
Authors: Praja Selvia Junita , Auzola Faiq 
Published: January 2022

Permasalahan kompleks yang hingga saat ini belum dapat dituntaskan oleh Pemerintah Kota Pekanbaru adalah permasalahan pembangunan ekonomi, khususnya angka pengangguran yang tinggi. Kota Pekanbaru sebagai salah satu kota yang memiliki IHK (indeks harga konsumen) tertinggi di Indonesia mengeluarkan Peraturan Daerah untuk meningkatkan kesejahteraan masyarakat Kota Pekanbaru dengan cara memprioritaskan dan memberdayakan para tenaga kerja lokal. Penelitian ini menggunakan teori Implementasi Edward III. Dalam penelitian ini metode yang digunakan adalah kualitatif dengan pendekatan deskriptif, sedangkan untuk pengumpulan data di lapangan menggunakan teknik dokumentasi, wawancara serta observasi. Berdasarkan hasil penelitian ini menunjukkan bahwa Peraturan Daerah ini belum terlaksana dengan baik. Hal tersebut dapat dilihat dari beberapa faktor yang mempengaruhi gagalnya pencapaian target tersebut yaitu dimensi komunikasi kurangya pemahaman masyarakat, dimensi sumber daya terdapat sarana prasarana yang tidak mendukung, minimnya dana yang dianggarkan, serta kurangnya kuantitas sumber daya manusia di Dinas Tenaga Kerja Lokal Kota Pekanbaru. Dimensi disposisi pemerintah belum mematuhi terkait penyerapan tenaga kerja lokal sebesar 75%, terdapat oknum perusahaan yang tidak transparan dalam pelaporan ketersediaan lowongan pekerjaan, sedangkan dimensi struktur birokrasi sudah baik, dilihat dari adanya standar operasional prosedur. DISNAKER Kota Pekanbaru telah melakukan upaya untuk menyikapi hal tersebut dengan cara melakukan sosialisasi Perda kepada masyarakat, pengawasan dan pembinaan terhadap pihak perusahaan serta mengajukan penambahan jumlah pegawai, dana dan peningkatan sarana prasarana.
Kata Kunci: Implementasi, Peraturan, Tenaga Kerja Lokal.
Pengaruh Kompetensi dan Disiplin Terhadap Kinerja dengan Etos Kerja sebagai Variabel Mediasi di Kecamatan Lubuk Sikaping
Authors: Afandi Arif 
Published: January 2022

Penelitian ini bertujuan untuk mengetahui pengaruh kompetensi dan disiplin kerja terhadap kinerja pegawai kantor Kecamatan Lubuk Sikaping Kabupaten Pasaman dengan etos kerja sebagai variabel mediasi. Penelitian ini dilatarbelakangi oleh kompetensi yang masih rendah, disiplin kerja yang masih perlu ditingkatkan, etos kerja yang masih belum stabil, sehingga mengakibatkan rendahnya kinerja pegawai pada kantor Kecamatan Lubuk Sikaping Kabupaten Pasaman. Jenis penelitian menggunakan pendekatan kuantitatif dengan menggunakan pendekatan Partial Least Square (PLS) dengan model persamaan Structural Equation Modeling (SEM). Teknik pengumpulan data dengan kuesioner, observasi dan wawancara. Responden penelitian ini adalah 40 orang pegawai kantor Kecamatan Lubuk Sikaping Kabupaten Pasaman. Metode penarikan sampel mengunakan metode total sampling dimana seluruh populasi dalam penelitian ini dijadikan sampel penelitian. Pengujian hipotesis dihitung dengan program Smart Partial Least Square (PLS) 3. Dari hasil penelitian ini ditemukan bahwa kompetensi tidak berpengaruh terhadap etos kerja, disiplin kerja tidak berpengaruh terhadap etos kerja, etos kerja berpengaruh terhadap kinerja, kompetensi berpengaruh terhadap kinerja, disiplin kerja tidak berpengaruh terhadap kinerja, etos kerja sebagai variabel mediasi berpengaruh antara kompetensi dan kinerja, serta etos kerja sebagai variabel mediasi berpengaruh antara disiplin kerja dan kinerja pegawai kantor Kecamatan Lubuk Sikaping Kabupaten Pasaman Provinsi Sumatera Barat.
ANALISIS SAHABAT SENSUS PADA SENSUS PENDUDUK ONLINE 2020 DI WILAYAH KALIMANTAN BARAT
Authors: Debataraja Naomi , Sulastri Fitri , Valensia Ellen 
Published: January 2022

Implementation of 2020 census of Indonesian Population is the government’s first step in realizing One Indonesian Population Data. The online census of Indonesian population is one of the stages of the 2020 census of Indonesian Population where residents can enter their information independently through the website. In order to increase public participation in 2020 online census of Indonesian population, BPS Collaborates with universities throughout Indonesia, one of which is the Mathematics Department of Tanjungpura University Pontianak as a census friend. This study aims to provide an overview of the publicity of the online census and its responses as well as the obstacles experienced by census friends, to determine the factors that affect the constraints of census friends, and to examine the effect of gender variables on the constraints of census friends. The results of the analysis show that the social media used in the publication of the 2020 online census are Instagram, WhatsApp, Facebook, Telegram, Twitter, and Sestyc. The obstacles experienced by census friends amounted to twelve obstacles. The constraint factor which is formed from the factoring process produces two factors. Besides, it was found that there was no influence between the sexes on the constraints of census friends.

Pelaksanaan Sensus Penduduk Indonesia Tahun 2020 merupakan langkah awal pemerintah dalam mewujudkan Satu Data Kependudukan Indonesia. Sensus Penduduk Indonesia secara online merupakan salah satu tahapan dari Sensus Penduduk Indonesia Tahun 2020 dimana penduduk dapat memasukkan informasinya secara mandiri melalui website yang telah disediakan. Dalam rangka meningkatkan partisipasi masyarakat dalam pencacahan penduduk Indonesia secara online tahun 2020, BPS bekerja sama dengan 43 perguruan tinggi di seluruh Indonesia, salah satunya Jurusan Matematika Universitas Tanjungpura Pontianak sebagai sahabat sensus. Penelitian ini bertujuan untuk memberikan gambaran tentang publisitas sensus online beserta tanggapannya serta kendala yang dialami oleh sahabat sensus, menentukan faktor-faktor yang mempengaruhi kendala teman sensus, dan untuk menentukan pengaruh variabel jenis kelamin terhadap kendala tersebut. Hasil analisis menunjukkan bahwa media sosial yang digunakan dalam publikasi sensus online 2020 adalah Instagram, WhatsApp, Facebook, Telegram, Twitter, dan Sestyc. Hambatan yang dialami teman sensus berjumlah dua belas kendala. Faktor kendala yang terbentuk dari proses faktorial menghasilkan dua faktor. Selain itu, tidak ditemukan adanya pengaruh antar jenis kelamin terhadap kendala sahabat sensus.
Automatic Segmentation of Kidneys and Kidney Tumors: The KiTS19 International Challenge
Authors: Sathianathen Niranjan J. , Heller Nicholas , Tejpaul Resha , Stai Bethany , Kalapara Arveen , Rickman Jack , Dean Joshua , Oestreich Makinna , Blake Paul , Kaluzniak Heather , Raza Shaneabbas , Rosenberg Joel , Moore Keenan , Walczak Edward , Rengel Zachary , Edgerton Zach , Vasdev Ranveer , Peterson Matthew , McSweeney Sean , Peterson Sarah , Papanikolopoulos Nikolaos , Weight Christopher 
Published: January 2022

Purpose: Clinicians rely on imaging features to calculate complexity of renal masses based on validated scoring systems. These scoring methods are labor-intensive and are subjected to interobserver variability. Artificial intelligence has been increasingly utilized by the medical community to solve such issues. However, developing reliable algorithms is usually time-consuming and costly. We created an international community-driven competition (KiTS19) to develop and identify the best system for automatic segmentation of kidneys and kidney tumors in contrast CT and report the results.Methods: A training and test set of CT scans that was manually annotated by trained individuals were generated from consecutive patients undergoing renal surgery for whom demographic, clinical and outcome data were available. The KiTS19 Challenge was a machine learning competition hosted on grand-challenge.org in conjunction with an international conference. Teams were given 3 months to develop their algorithm using a full-annotated training set of images and an unannotated test set was released for 2 weeks from which average Sørensen-Dice coefficient between kidney and tumor regions were calculated across all 90 test cases.Results: There were 100 valid submissions that were based on deep neural networks but there were differences in pre-processing strategies, architectural details, and training procedures. The winning team scored a 0.974 kidney Dice and a 0.851 tumor Dice resulting in 0.912 composite score. Automatic segmentation of the kidney by the participating teams performed comparably to expert manual segmentation but was less reliable when segmenting the tumor.Conclusion: Rapid advancement in automated semantic segmentation of kidney lesions is possible with relatively high accuracy when the data is released publicly, and participation is incentivized. We hope that our findings will encourage further research that would enable the potential of adopting AI into the medical field.
Texture Analysis Using CT and Chemical Shift Encoding-Based Water-Fat MRI Can Improve Differentiation Between Patients With and Without Osteoporotic Vertebral Fractures
Authors: Sollmann Nico , Becherucci Edoardo A. , Boehm Christof , Husseini Malek El , Ruschke Stefan , Burian Egon , Kirschke Jan S. , Link Thomas M. , Subburaj Karupppasamy , Karampinos Dimitrios C. , Krug Roland , Baum Thomas , Dieckmeyer Michael 
Published: January 2022

PurposeOsteoporosis is a highly prevalent skeletal disease that frequently entails vertebral fractures. Areal bone mineral density (BMD) derived from dual-energy X-ray absorptiometry (DXA) is the reference standard, but has well-known limitations. Texture analysis can provide surrogate markers of tissue microstructure based on computed tomography (CT) or magnetic resonance imaging (MRI) data of the spine, thus potentially improving fracture risk estimation beyond areal BMD. However, it is largely unknown whether MRI-derived texture analysis can predict volumetric BMD (vBMD), or whether a model incorporating texture analysis based on CT and MRI may be capable of differentiating between patients with and without osteoporotic vertebral fractures.Materials and MethodsTwenty-six patients (15 females, median age: 73 years, 11 patients showing at least one osteoporotic vertebral fracture) who had CT and 3-Tesla chemical shift encoding-based water-fat MRI (CSE-MRI) available were analyzed. In total, 171 vertebral bodies of the thoracolumbar spine were segmented using an automatic convolutional neural network (CNN)-based framework, followed by extraction of integral and trabecular vBMD using CT data. For CSE-MRI, manual segmentation of vertebral bodies and consecutive extraction of the mean proton density fat fraction (PDFF) and T2* was performed. First-order, second-order, and higher-order texture features were derived from texture analysis using CT and CSE-MRI data. Stepwise multivariate linear regression models were computed using integral vBMD and fracture status as dependent variables.ResultsPatients with osteoporotic vertebral fractures showed significantly lower integral and trabecular vBMD when compared to patients without fractures (p&lt;0.001). For the model with integral vBMD as the dependent variable, T2* combined with three PDFF-based texture features explained 40% of the variance (adjusted R2[Ra2] = 0.40; p&lt;0.001). Furthermore, regarding the differentiation between patients with and without osteoporotic vertebral fractures, a model including texture features from CT and CSE-MRI data showed better performance than a model based on integral vBMD and PDFF only (Ra2 = 0.47 vs. Ra2 = 0.81; included texture features in the final model: integral vBMD, CT_Short-run_emphasis, CT_Varianceglobal, and PDFF_Variance).ConclusionUsing texture analysis for spine CT and CSE-MRI can facilitate the differentiation between patients with and without osteoporotic vertebral fractures, implicating that future fracture prediction in osteoporosis may be improved.
Liraglutide Activates Type 2 Deiodinase and Enhances β3-Adrenergic-Induced Thermogenesis in Mouse Adipose Tissue
Authors: Oliveira Fernanda C. B. , Bauer Eduarda J. , Ribeiro Carolina M. , Pereira Sidney A. , Beserra Bruna T. S. , Wajner Simone M. , Maia Ana L. , Neves Francisco A. R. , Coelho Michella S. , Amato Angelica A. 
Published: January 2022

AimsLiraglutide is a long-acting glucagon-like peptide 1 (GLP-1) receptor agonist used as an anti-hyperglycemic agent in type 2 diabetes treatment and recently approved for obesity management. Weight loss is attributed to appetite suppression, but therapy may also increase energy expenditure. To further investigate the effect of GLP-1 signaling in thermogenic fat, we assessed adipose tissue oxygen consumption and type 2 deiodinase (D2) activity in mice treated with liraglutide, both basally and after β3-adrenergic treatment.MethodsMale C57BL/6J mice were randomly assigned to receive liraglutide (400 μg/kg, n=12) or vehicle (n=12). After 16 days, mice in each group were co-treated with the selective β3-adrenergic agonist CL316,243 (1 mg/kg, n=6) or vehicle (n=6) for 5 days. Adipose tissue depots were assessed for gene and protein expression, oxygen consumption, and D2 activity.ResultsLiraglutide increased interscapular brown adipose tissue (iBAT) oxygen consumption and enhanced β3-adrenergic-induced oxygen consumption in iBAT and inguinal white adipose tissue (ingWAT). These effects were accompanied by upregulation of UCP-1 protein levels in iBAT and ingWAT. Notably, liraglutide increased D2 activity without significantly upregulating its mRNA levels in iBAT and exhibited additive effects to β3-adrenergic stimulation in inducing D2 activity in ingWAT.ConclusionsLiraglutide exhibits additive effects to those of β3-adrenergic stimulation in thermogenic fat and increases D2 activity in BAT, implying that it may activate this adipose tissue depot by increasing intracellular thyroid activation, adding to the currently known mechanisms of GLP-1A-induced weight loss.