bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGARUH PARTISIPASI PETANI TERHADAP LKM-A (LEMBAGA KEUANGAN MIKRO AGRIBISNIS) SEMBODOMAKMUR
Authors: Kusumadewi Fitri Rosalia , Farid Abdul , Sudarmanto Bambang 
Published: February 2020

Efektivitas menjadi faktor kunci keberhasilan LKM-A (Lembaga Keuangan Mikro Agribisnis) sebagai salah satu unit usaha mikro yang dapat menunjang permodalan usahatani di pedesaan. Sebagaimana amanat dalam Peraturan Menteri Pertanian Republik Indonesia Nomor 82/Permentan/OT.140/8/2013 bahwa selain melaksanakan fungsi pengelolaan unit pengolahan dan pemasaran hasil, atau unit penyediaan saprodi GAPOKTAN juga harus mampu melaksanakan fungsi unit usaha jasa permodalan. Namun meskipun demikian hingga saat ini penumbuhkembangan LKM-A sebagai salah satu Kelembagaan Ekonomi Petani tidaklah berjalan sesuai dengan apa yang telah dicanangkan. Salah satu faktor yang dapat menghambat penumbuhkembangan LKM-A adalah partisipasi petani selaku sasaran yang menerima dan mengelola LKM-A itu sendiri. Tujuan dilaksanakannya penelitian ini adalah: 1) Mendeskripsikan tingkat partisipasi petani di Desa Mojorejo Kecamatan Junrejo Kota Batu dalam mengelola LKM-A. 2) Mendeskripsikan efektivitas LKM-A di Desa Mojorejo Kecamatan Junrejo Kota Batu. 3) Mengetahui sejauh mana pengaruh partisipasi petani terhadap efektivitas LKM-A di Desa Mojorejo, Kecamatan Junrejo Kota Batu. Populasi dalam penelitian ini adalah seluruh petani yang tergabung dalam GAPOKTAN Sembodomakmur yakni terdiri dari 238 orang. Pengambilan sampel ditentukan dengan teknik probability Sampling yakni simple random sampling. yang kemudian dihitung dengan rumus slovin dan diperoleh sampel sejumlah 70 orang. Jenis data yang digunakan dalam penelitian ini adalah data primer dan data skunder. Teknik analisis data yang digunakan yaitu analisis regresi linier berganda. Hasil penelitian menunjukkan bahwa partisipasi petani dan efektivitas LKM-A Sembodomakmur berada pada kategori sedang. Partisipasi petani selaku anggota berpengaruh secara signifikan terhadap efektivitas LKM-A.
ANALISIS KARAKERISTIK BIAYA DAN PENDAPATAN USAHATANI PADI SAWAH
Authors: Bakari Yuliana 
Published: February 2020

Setiap kegiatan usahatani mempunyai karakteristik tidak hanya berbeda dalam penggunaan faktor-faktor produksi tetapi juga memiliki karakterteristik biaya produksi dan penerimaan usahatani yang berbeda pada sutu wilayah tertentu. Penelitian ini bertujuan untuk mendeskripsikan karakeristik biaya produksi dan pendapatan usahatani padisawah di Kecamatan Tilongkabila, Kabupaten Bone Bolango. Metode analisis data yang digunakan adalah pendekatan matematis untuk menghitung biaya produksi, penerimaan dan pendapatan. Sedangkan analisis deskriptif dengan metode analisis statistic parametrik digunakan untuk mendeskripsikan karakteristik biaya dan pendapatan. Hasil penelitian menunjukkan bahwa karakteristik biaya tetap usahatani padi sawah di Kecamatan Tilongkabila memiliki proporsi biaya tetap terkecil yaitu untuk biaya sewa lahan dan proporsi biaya tetap terbesar adalah biaya sewa traktor. Sedangkan karakteristik biaya variabel usahatani menunjukkan lebih dari 70% dari total biaya variabel usahatani digunakan sebagai biaya sewa tenaga kerja, sedangkan 30% lainnya digunakan untuk biaya pengadaan benih, pupuk, dan pestisida. Selain itu, penerimaan rata-rata usahatani padi sawah di Kecamatan Tilongkabila sebesar Rp.9,419,301 dan biaya rata-rata usahatani sebesar Rp.5,482,660, diperoleh pendapatan rata-rata petani padi sawah di Kecamatan Tilongkabila dengan rata-rata luasan lahan 0.64 hektar yaitu sebesar Rp.3,936,641. Angka pendapatan rata-rata usahatani padi sawah di Kecamatan Tilongkabila masih tergolong rendah sehingga petani masih membutuhkan pendapatan lain dari luar usahatani padi sawah.
Klasifikasi Dokumen Karya Akhir Mahasiswa Menggunakan NaÃ¯ve Bayes Classifier (NBC) Berdasarkan Abstrak Karya Akhir Di Jurusan Teknik Elektro Universitas Negeri Jakarta
Authors: Indah Pratiwi Nur , . Widodo 
Published: February 2020

Dokumen karya akhir di Jurusan Teknik Elektro Universitas Negeri Jakarta setiap tahunnya bertambah, pengklasifikasian dokumen menjadi hal yang sangat penting untuk mengorganisasikan dokumen sehingga dapat memudahkan pencarian. Pengembangan Sistem klasifikasi dokumen bertujuan untuk mengembangkan sebuah sistem yang dapat mengklasifikasikan dokumen karya akhir mahasiswa berdasarkan abstrak karya akhir menggunakan algoritma NaÃ¯ve Bayes Classifier (NBC). Sehingga, dapat memudahkan pengklasifikasian dokumen karya akhir di Jurusan Teknik Elektro. Dalam penelitian ini menggunakan metode eksperimen dan menggunakan 100 dokumen abstrak, 90 dokumen sebagai data train dan 10 dokumen sebagai data test. Data diambil dari skripsi mahasiswa Jurusan Teknik Elektro Universitas Negeri Jakarta dari 14 Maret 2014 sampai dengan 27 Maret 2014. Setelah melakukan proses pengembangan perangkat lunak, dihasilkan sebuah sistem klasifikasi yang bernama Sistem Klasifikasi Dokumen Skripsi. Sistem di implementasi menggunakan PHP dan MySQL, dan diuji menggunakan K-Fold Cross Validation (10 Fold). Berdasarkan pada hasil uji Sistem didapatkan hasil tingkat akurasi sebesar 81%. Oleh karena itu, dapat disimpulkan bahwa Sistem Klasifikasi Dokumen Abstrak Karya Akhir Menggunakan Algoritma NaÃ¯ve Bayes di Jurusan Teknik Elektro telah berhasil dikembangkan.
Three-Dimensional Printing: A Catalyst for a Changing Orthopaedic Landscape
Authors: Minto Jonathan , Zhou Xuan , Osborn Jenna , Zhang Lijie Grace , Sarkar Kausik , Rao Raj D. 
Published: February 2020

» Three-dimensional (3D) printing is an emerging tool in provider and patient education, surgical planning, and the design and implementation of medical devices and implants.» Recent decreases in the cost of 3D printers along with advances in and cost reduction of printable materials have elevated 3D printing within the medical device industry.» The advantages of 3D printing over traditional means of implant manufacturing lie in its ability to use a wide array of materials, its fine control of the macro- and microarchitecture, and its unprecedented customizability.» Barriers to the widespread adoption of 3D-printed implants include questions of implant durability, U.S. Food and Drug Administration (FDA) approval for patient-specific implants, and insurance coverage of those implants.
UNUSUAL FOSSILIFEROUS CONCRETIONS FROM LACUSTRINE DEPOSITS IN THE LOWER JURASSIC MOENAVE FORMATION IN ST. GEORGE, UTAH, USA: IMPLICATIONS FOR ANCIENT FISH MASS MORTALITIES
Authors: VITKUS ALLISON R. , CHIN KAREN , KIRKLAND JAMES I. , MILNER ANDREW R.C. , SIMPSON EDWARD L. , ELLISON ERIC T. 
Published: February 2020

ABSTRACT
Two types of unusual concretions with similar biotic contents but markedly different shapes and distributions were found in close stratigraphic proximity within the Lower Jurassic Whitmore Point Member of the Moenave Formation in St. George, Utah. Both types of concretions formed in lacustrine sediments and contain abundant ganoid fish scales, numerous ostracode carapaces, and apparent rip-up clasts. Elongate, cylindrical concretions developed in parallel and regularly spaced rows in one horizon, and comparatively flat and irregularly shaped and distributed concretions formed in an overlying layer only a few centimeters above. Microprobe and Raman analyses of concretion samples reveal abundant hematite in both concretions as well as groundmass minerals dominated by silica in the cylindrical concretions and dolomite in the flat concretions. The abundance of fish skeletal debris in concretions from two consecutive horizons may suggest recurring fish mass mortality in ancient Lake Dixie, the large lake that occupied the St. George area during the Early Jurassic. We propose a model for the formation of the concretions based on their shapes, distributions, and chemistry. In this model, accumulations of disarticulated fish debris were colonized and consolidated by microbial mats and shaped by oscillatory flow (in the case of the cylindrical concretions) or lack thereof (in the case of the flat concretions). Then, after burial, groundwater chemistry and possibly the metabolic activities of microorganisms led to the precipitation of minerals around and within the masses of fish material. Finally, diagenetic alteration changed the mineral makeups of the cylindrical and flat concretions into what they are today.
ANALISIS MODEL DAKWAH KEISLAMAN PADA USAHA BERBASIS PEMBERDAYAAN MASYARAKAT (STUDI KASUS DI PT. JATINOM INDAH DI DESA JATINOM, KECAMATAN KANIGORO, KABUPATEN BLITAR, JAWA TIMUR)
Authors: Permata Arif Rachman Eka , Rasyid Mohtar 
Published: February 2020

Penelitian ini dilatar belakangi keberadaan perusahaan yang memiliki dampak positif terhadap masyarakat dan masuk kategori pemberdaya masyarakat. Bentuk usaha yang sudah PT membuat ruang lingkup dan eksistensi usaha ini besar. Dalam aktifitas usaha PT.Jatinom Indah memiliki fokus di bidang peternakan khususnya ayam. Saat ini mulai berkembang dibidang lain seperti pariwisata, sawit, properti, dan rumah potong hewan. Aktifitas usaha membutuhkan banyak karyawan. Penyerapan tenaga kerja masuk pada kategori pemberdayaan masyarakat, ditunjang program pelatihan pengembangan SDM. Dalam pengelolaan usaha dan SDM banyak nilai-nilai islam teridentifikasi diimplementasikan. Seperti pengajian rutin, persyaratan karyawan muslim, santunan, program mengaji, dan pendirian lembaga pengelolaan dana sosial. Metode penelitian dengan pendekatan kualitatif diskriptif, lokasi studi kasus terfokus pada PT.Jatinom Indah, jenis data yaitu primer dan sekunder. Metode pengumpulan data wawancara dan studi pustaka. Dan metode analisis data yaitu teknik analisis data deskriptif kualitatif. Pembahasan dalam penelitian ini terfokus pada analisis model dakwah keislaman yang terdapat dalam aktifitas pemberdayaan masyarakat di PT.Jatinom Indah, selanjutnya akan dipetakan dan dibahas secara rinci pada setiap kegiatan dalam perusahaan yang mengandung dakwah keislaman tersebut dengan teori dakwah dalam aktifitas ekonomi. Dengan adanya gambaran model dakwah bisa menjadi acuan untuk usaha lain, harapannya manfaat kepada masyarakat tidak hanya dalam bentuk materi tetapi bekal kerohanian.
Effect of intraocular lens implantation on visual field in patients with glaucoma and comorbid cataracts
Authors: Zhao Can , Cun Qing , Tao Yijin , Yang Wenyan , Zhong Hua , Li Fengjie , Tighe Sean , Zhu Yingting , Wang Ting 
Published: February 2020

Abstract
The authors have withdrawn this preprint from Research Square.
Mass Cytometry for Multivariate Organoid Signalling Analysis
Authors: Qin Xiao , Sufi Jahangir , Vlckova Petra , Kyriakidou Pelagia , Acton Sophie E. , Li Vivian S. W. , Nitz Mark , Tape Christopher J. 
Published: February 2020

Abstract
Organoids are powerful biomimetic tissue models. Despite their increasing popularity, no existing methods are suitable for cell-type specific analysis of post-translational modification (PTM) signalling networks in organoids. Here we report a multivariate mass cytometry (MC) protocol for single-cell analysis of cell-type specific PTM signalling in organoid monocultures and organoids co-cultured with stromal and immune cells. Thiol-reactive Organoid Barcoding in situ (TOBis) was developed to facilitate high-throughput comparison of signalling networks between organoid cultures. Taken together, our protocol enables high-throughput multivariate PTM signalling analysis of healthy and cancerous organoids at the single-cell level.
Population-Based analysis for newly diagnosed hepatocellular carcinoma with brain metastases
Authors: Feng Jincheng , Polychronidis Georgios , Heger Ulrike , Mehrabi Arianeb , Hoffmann Katrin 
Published: February 2020

Abstract
Background: There is little population-based data on hepatocellular carcinoma (HCC) with brain metastases at initial diagnosis published. This study aimed to estimate incidence of brain metastases in initial metastatic HCC and its impact on prognosis.Methods: Newly diagnosed HCC cases from 2010 to 2015 in the Surveillance, Epidemiology, and End Results (SEER) database were screened for the presence of brain metastases. Data were stratified by age and ethnicity. Multivariable logistic and Cox regression were used to identify factors associated with brain metastases and factors associated with overall survival (OS) and cancer-specific survival (CSS), respectively. Kaplan-Meier method and log-rank test were used for survival analysis.Results: 141 cases presenting with brain metastases were identified, accounting for 0.35% of all HCC cases and 2.37% of cases with metastatic HCC disease. The incidence rate was highest among cases with age 50-59 (2.74%), respectively. Ethnicity was not associated with the presence of brain metastases at the time of HCC diagnosis. However, African American patients presented significantly lower disease-specific survival (median time: 1month; interquartile range (IQR):0-3.0 months). Initial lung or bone metastasis was independently associated with an increased risk of the presence of brain metastases (odds ratio (OR) 12.62, 95%CI 8.40-18.97), but not associated with worse OS and CSS among brain metastases cases. Conclusions: The study shows population-based incidence and survival of brain metastases at diagnosis of HCC. Brain metastases are most prevalent in initial metastatic HCC patients with lung or bone metastasis. The results may contribute to consider screening of the brain among HCC with initial lung or bone metastasis.
Estimating runtime of a job in Hadoop MapReduce
Authors: Peyravi Narges , Moeini Ali 
Published: February 2020

Abstract
Hadoop MapReduce is a framework to process vast amounts of data in the cluster of machines in a reliable and fault-tolerant manner. To better management of this framework, estimating the runtime of a job is an important but challenging problem. In this paper, after analysis the anatomy of processing a job in Hadoop MapReduce precisely, we model each stage by relevant essential and efficient features that higher impact on runtime; then we propose two new methods to estimate the runtime, where the history of the previous run of a job is available, or a job performs for the first time. The results show less than 12% error in the estimation of runtime for the first run and less than 8.5% error when the profile or history of the job has existed.
Determinants and Stability of Money Demand during Financial Liberalization in Sub-Saharan Africa: The Case of Uganda using an ARDL Approach
Authors: Kayongo Allan , Mukisa Ibrahim , Okumu Ibrahim Mike 
Published: February 2020

Abstract
We analyse the determinants and stability of Uganda’s real money demand function during financial liberalization. The study contributes to literature in 4 ways, i.e.: assessing the determinants and stability of Uganda’s money demand function for the financial liberalization period; this is also done while incorporating the presumably disruptive financial innovations; assessing Uganda’s money demand stability during this episode; and applying the ARDL estimation strategy on Uganda’s Monetary Policy. GDP, exchange rate, inflation, interest rate spread and foreign interest rate explain Uganda’s real money demand. The results confirm the existence of a stable long run money demand function. The error correction term is significant and negative. Fundamentally, the financial innovations have not caused structural divergence in Uganda’s long run money demand function as would have been expected. Income is significant and close to unity and therefore a good money demand indicator in both the short and long run. Most importantly, financial innovation efforts in Uganda’s monetary policy should be intensified since they haven’t had negative effects on monetary stability.
Keywords: money demand, stability, financial liberalization, financial innovations
JEL Classification: E41; E52; E6; O23
Meta-analysis of venom toxicity of 167 most lethal ophidian species provides a basis for estimating human lethal doses
Authors: Hanley Brian 
Published: February 2020

Abstract
Background: This is the first meta-analysis to characterize intra-ophidian-species variation in whole venom. The largest possible meta-analysis possible at this time, it encompasses all known records of animal lethality studies over the past 100 years. These results are not artifacts of resistant test-animal-species, and show orders of magnitude beyond the 1.6 logs (40 fold change) range of lethal dose documented in literature between amphibians, lizards and mice. Methods: 1198 lethal dose study results for 167 of the most lethal venomous ophidian species in the world are analyzed. Results: LDLo does not differentiate from LD50 across studies, indicating the true range of toxicity is probably larger. The belief that for route of inoculation, IC<IV<IP<IM<SC has good support (R2 = 0.90). However, 5% of ICs were the highest dose, and 7% of SC inoculations were the lowest dose. Within the mouse test species, for one route of inoculation, the widest LD range is 3 logs (1000 fold change, N = 14). Within mouse, for multiple routes of inoculation, the widest LD range is 3.6 logs (4,150 fold change), N = 20, SC/IM. The strongest correlate for range of lethal dose results is the number of studies (R2 = 0.56); followed by the number of test-animal-species (R2 = 0.55); then by the number of routes of inoculation (R2 = 0.43). Conclusions: Scientists working with humans should use combined LDLo and LD50 meta-datasets for all data and calculate: mean, median, minimum, range, and standard deviations. Standard deviation multiples will provide desired coverage. For estimating LD50 range and minimum lethal dose for species with little data, I recommend curating a meta-dataset of related snakes, and computational research to strengthen this.
Impact of diabetes mellitus on mortality in patients with acute heart failure: a prospective cohort study
Authors: Kong Min Gyu , Jang Se Yong , Jang Jieun , Cho Hyun-Jai , Lee Sangjun , Lee San Eun , Kim Kye Hun , Yoo Byung-Su , Kang Seok-Min , Baek Sang Hong , Choi Dong-Ju , Jeon Eun-Seok , Kim Jae-Joong , Cho Myeong-Chan , Chae Shung Chull , Oh Byung-Hee , Lim Soo , Park Sue K. , Lee Hae-Young 
Published: February 2020

Abstract
Background Although more than one third of the patients with acute heart failure (AHF) have diabetes mellitus (DM), it is unclear whether DM exerts adverse impact on clinical outcomes. This study aimed to compare the outcomes in patients hospitalized for AHF in accordance with DM and left ventricular ejection fraction (LVEF). Methods The Korean Acute Heart Failure registry prospectively enrolled and completed follow-up of 5,625 patients from March 2011 to February 2019. Primary endpoints were in-hospital and overall all-cause mortality. We evaluated the impact of DM on these mortalities according to HF subtypes and glycemic control. Results DM was significantly associated with increased long-term mortality (adjusted hazard ratio [HR], 1.12; 95% confidence interval [CI], 1.02-1.22) even after adjusting for potential confounders. In subgroup analysis according to LVEF, DM was associated with higher long-term mortality in only HF with reduced ejection fraction (HFrEF) (adjusted HR, 1.14; 95% CI, 1.02-1.27). Inadequate glycemic control defined by HbA1c ≥ 7.0% within 1 year after discharge was significantly associated with higher long-term mortality compared to adequate glycemic control (HbA1c <7.0%) (44.0% vs. 36.8%; Log-rank p =0.016). Conclusions This large registry data showed that DM and inadequate glycemic control were significantly associated with increased long-term mortality in AHF, especially HFrEF. Tight glucose control is required to mitigate long-term mortality.
Application of the J48 Decision Tree Algorithm in the Mass Valuation of Real Estate
Authors: PEREZ EDWIN ROBERT , OBREGON NELSON , Albancando Adriana 
Published: February 2020

Abstract
This article presents the results of the research work of the GIGA research group of the Distrital University in Bogota Colombia in the framework of the advanced doctoral research in the engineering doctorate of the Javeriana University and shows the development followed and the corresponding analysis determine the effectiveness of the M5P algorithm within the decision tree approach for the management of BIG DATA and Machine Learning for the determination of massive property valuation. The analysis was carried out with data provided by the Special Administrative Unit of the Distrital Cadaster (UAECD) and the Technical Cadastral Observatory corresponding to three sectors of the city of Bogotá D.C. The results of the J48-based model were compared by means of a statistical analysis with the traditionally used linear regression method, obtaining satisfactory results with errors well below the linear regressions in the training, validation and forecast stages.
The related risk factors of diabetic retinopathy in elderly patients with Type 2 diabetes mellitus: A cohort study
Authors: Chiu Ying-Chu , Tsai Tien-Lung , Su Meiyin , Yang Tsan , Tseng Peng-Lin , Lee Chao-Hsien 
Published: February 2020

Abstract
Background: Diabetic retinopathy (DR) caused by small vessel disease was the main cause of blindness in person with diabetes, and it mainly occurred in patients with Type 2 diabetes mellitus (T2DM). Taiwan was one of the Asian countries with the highest prevalence rate of DR, there were only few studies for the risk of DR in patients with T2DM in Taiwan. According to some studies have shown DR was a major cause of blindness on elderly both in developed and other developing countries. The purpose was to investigate the related risk factors of DR in elderly patients with T2DM. Methods: During July 2010 to December 2017, 4010 T2DM patients without DR were preselected for this study, but 792 patients completed the continuously follow-up evaluation. Patients were invited to have an outpatient visit at least every three months, and they were asked to fill out a brief questionnaire and collect their blood samples. Additionally, statistical methods used independent sample T-test, Chi-square tests and logistic regression in univariate analysis to analyze the relationships between onset DR and each related factor; and finally the optimal multivariate logistic regression model would be determined by stepwise model selection. Results: Of the 792 effective samples, 611 patients (77.1%) progressed to DR and 181 patients (22.9%) did not get DR during the follow-up period. According to the results, the significant factors were women (OR, 2.20; 95%CI, 1.52-3.17), longer diabetic duration (OR, 1.05; 95% CI, 1.03-1.08), family history of diabetes (OR, 1.55; 95% CI: 1.09-2.21), higher concentration glycated hemoglobin (HbA1c) (OR, 1.27; 95% CI: 1.12-1.44), higher mean low density lipoprotein cholesterol (LDL-c) (OR, 1.01; 95% CI: 1.00-1.01), and chewing betel nut (OR, 2.85; 95% CI: 1.41-5.77). Conclusions: This prospective cohort study showed that gender, behavior of chewing betel nut, diabetic duration, family history of diabetes, HbA1c, and LDL-c, were important factors for the development of DR in elderly patients with T2DM. It suggested that those patients should well control their HbA1c and LDL-c and quit chewing betel nut to prevent from DR, especially for female patients with family history of diabetes and longer duration of diabetes.