bluuebunny/crossref_metadata_2025_split huggingface dataset:
POTENSI DAN STRATEGI PENGEMBANGAN PARIWISATA DI PULAU MANDANGIN KABUPATEN SAMPANG
Authors: Maulidiya Lilik , Hayati Mardiyah 
Published: May 2022

Pulau Mandangin merupakan Pulau yang memiliki sumber daya alam dan potensi wisata yang memukau. Pengembangan Pulau Mandangin sebagai obyek wisata alam diharapkan dapat meningkatkan kesejahteraan masyarakat Pulau Mandangin yang dihuni oleh 15.975 Jiwa dengan kepadatan penduduknya sebesar 9.628 jiwa/ Km². Potensi sumber daya alam yang dimiliki Pulau Mandangin sangat layak untuk dikembangkan, semakin baik potensi sumberdaya alam yang ada akan semakin memperkuat daya tarik wisata tersebut. Tujuan penelitian ini adalah : (1) mengidentifikasi potensi sumberdaya untuk pengembangan wisata Pulau Mandangin, (2) menganalisis strategis pengembangan potensi pariwisata di Pulau Mandangin Kabupaten Sampang. Penentuan sampel pada penelitian menggunakan metode Probability Sampling Responden terdiri dari 30 masyarakat Pulau Mandangin untuk mengidentifikasi potensi obyek wisata Pulau Mandangin dan 6 orang informan kunci untuk pengisian Rating pada matriks IFAS dan EFAS. Metode analisis menggunakan Analisis deskriptif dan analisis SWOT dan QSPM. Hasil penelitian menunjukkan potensi sumberdaya di Pulau mandangin terdiri dari budaya, wisata, dan kuliner. Sedangkan strategi dalam pengembangan wisata Pulau Mandangin yaitu Menyediakan fasilitas yang lengkap dalam menanggulangi persaingan dengan wisata lain.
Determining Tourist Visits and Economic Valuation of Natural Attraction of Tretes Waterfall of Wonosalam
Authors: Purbowo Purbowo , Daroini Ahsin 
Published: May 2022

The aims of the research to analyse the determinant of visits frequency and economic valuation of natural attractions of the Tretes waterfall. Two analysis methods are used by combining the negative-binomial and travel cost method (TCM) with an individual approach. The result showed that independent variables such as total travel expense, age, income, motivation, sex, and duration of enjoying tour partially do not significantly affect visits frequency. The only one independent variable which significantly toward visits frequency is distance. It means closer more often to visit. The amount of willingness to pay is IDR 50,000 with individual consumer-surplus is IDR 27,397.26, and economic value IDR 328,767,120 per year.
PENDAPATAN DAN NILAI TAMBAH PENGOLAHAN BANDENG PADA HOME INDUSTRI LA PRIMARASA DI DESA BALUN KECAMATAN TURI KABUPATEN LAMONGAN
Authors: Farizah Kholisatul , Hasan Fuad 
Published: May 2022

ABSTRAKIkan bandeng merupakan komoditas andalan yang tepat untuk dijadikan pengembangan budidaya air payau maupun air tawar, selain untuk dibudidayakan ikan bandeng dapat dijadikan peluang usaha lainnya seperti pengolahan bandeng menjadi otak-otak bandeng dan abon bandeng. Tujuan dari penelitian ini adalah 1) untuk mengetahui pendapatan yang di peroleh dari pengolahan ikan bandeng, 2) menganalisis nilai tambah pengolahan ikan bandeng menjadi otak-otak bandeng dan abon bandeng. Penelitian dilaksanakan pada bulan Februari - Maret 2020 di home industri La Primarasa berlokasi di desa balun kecamatan turi kabupaten lamongan. Hasil analisis menunjukan total biaya yang digunakan untuk pengolahan bandeng menjadi otak-otak bandeng dan abon bandeng sebesar Rp28.337.556. Pendapatan yang di terima home industri La Primarasa dari hasil penjualan otak-otak bandeng dan abon bandeng sebesar Rp14.017.000 dalam satu bulan. Hasil perhitungan R/C ratio dari pengolahan bandeng sebesar 1,50% yang berarti usaha pengolahan bandeng La Primarasa layak untuk dijalankan. Pengolahan bandeng menjadi otak-otak bandeng di Desa Balun Kecamatan Turi Kabupaten Lamongan menghasilkan nilai tambah sebesar Rp24.487/kg per bahan baku. Sedangkan nilai tambah yang dihasilkan untuk abon bandeng sebesar Rp36.962/kg per bahan baku.Kata Kunci : Bandeng, Pendapatan, Nilai Tambah, Home Industri La Primarasa
Scale Buildup Detection and Characterization in Production Wells by Deep Learning Methods
Authors: Cheng Jingru , Mao Deming , Salamah Majid , Horne Roland 
Published: May 2022

Summary
This study developed an analytical tool for the detection and characterization of scale buildup based on well history data using deep learning methods. The developed method allows for a sensitive detection of the initiation of scaling as well as an accurate prediction of the magnitude of the scale buildup. The model is driven by two series of labeled, synthetic data comprising different scenarios generated using well simulation software, each series containing more than 20 sets of well data. Both single- and multioutput, deep neural networks were built with the objective of predicting the presence and the magnitude of scale deposition, with one corresponding to the full-depth scale deposition and the other to partial-depth scale deposition. For the full-depth scale deposition problem, we built a point-wise neural network model combining two blocks, each focusing on either relatively smaller or larger tubing internal diameter (ID) changes, corresponding to more or less scale deposition. Detection of full-depth scale deposition could obtain an accuracy of more than 95% while the metric R2 of more than 90% is assured when predicting the magnitude of full-depth scale deposition. To characterize the segmented scale deposition, which can be transformed to a 3D problem, we simplified this problem to capture both the tubing ID changes and the segment length. Then, we used the multioutput model to predict the tubing ID and volume changes, which combines two deep neural network models with a sharing part. Tubing ID changes were extracted accurately with metric R2 more than 90%, while the length of the scale deposit could be classified into two classes (high scaling or low scaling) with good accuracy. Though existing physical and chemical methods can be used to analyze scale deposition, the methods are often applied after considerable production decrease has already occurred. By using deep learning algorithms, our study came up with a new way to predict the scaling problem in advance with high sensitivity and at low cost.
An efficient analytical scheme for fuzzy conformable fractional‎ differential equations arising in physical sciences
Authors: Eghlimi H‎adi , Asgari Mohammad Sadegh 
Published: May 2022

Abstract
‎This article describes the fuzzy conformable fractional derivative which is based on generalized Hukuhara differentiability‎. On these topics‎, ‎we prove a number of properties concerning this type of differentiability‎. ‎In addition‎, ‎fuzzy conformable‎ ‎Laplace transforms are used to obtain analytical solutions to the fractional differential equation‎. Through the use of several‎ ‎practical examples‎, ‎such as the fuzzy conformable fractional growth equation‎, ‎the fuzzy conformable fractional one-compartment‎ ‎model‎, ‎and the fuzzy conformable fractional Newton's law of cooling‎, ‎we demonstrate the effectiveness and efficiency of the approaches‎.
The Cardiovascular Health Research Priorities in the United Arab Emirates
Authors: Ghader Nariman , Yateem Nabeel Al , Dalibalta Sarah , Razzak Hira Abdul , Rahman Syed Azizur , Matrooshi Fatima Al , Shaya Sara Al , Marzouqi Amina Al 
Published: May 2022

Abstract
Aims
To identify the UAE top five (5) research priorities in CVD mortalities for the upcoming five years.
Methods
We invited UAE hospitals, academic institutions, CVD associations, paramedical organizations, and research institutions to nominate CV experts for participation in a pair of virtual workshops during the COVID-19 lockdown. Using the 4-step Nominal Group Technique, we assisted thirty seven (37) delegates to develop a set of research priorities on CVD mortalities. The process included 10-minute silent idea-generation exercise, a Round-Robin online recording of bulleted ideas, 45-minute individual presentations of ideas, and finally voting instantly via an electronic platform.
Results
Participants generated 138 thoughts during the 2-day workshops. Afterwards, ideas were categorized by priority order into 5 main research themes: the development of evidence-based customized algorithms for CVD prevention and in-hospital emergency interventions; the availability, accessibility, and affordability of CVD treatment and rehabilitation; the identification of relationships between CVD, life style, and mental health; the efficacy and constraints in the management of cardiac emergencies; and finally epidemiological studies that trace CV illnesses in the UAE.
Conclusion
The UAE should develop a research strategy that responds systematically to the government’s vision on CVD mortalities. In this context, it is understood that the country must have its unique research priorities that investigate current gaps in understanding its healthcare system’s strengths and areas of development.
Production of biogas from remnants of olive mill waste following bioethanol production as a circular economy model
Authors: Tayeh Hiba Abu , Hassanin Mahdi , Gerchman Yoram , Azaizeh Hassan 
Published: May 2022

Abstract
Lignocellulose biomass for bioethanol production is one way for solving the environmental problems of the agricultural residues, besides the production of renewable fuel for the transportation sector, however, the bioethanol production is still inefficient due to a large amount of remnant waste left. So the anaerobic digestion (AD) of this remnant could be an effective solution to increase the overall energy output from the biomass. This study aims to explore the overall energy output and sustainability from the olive mill solid waste (OMSW) through bioethanol production and the utilization of the remnant residues for biogas production by exploiting the organic waste-energy nexus as a circular economy model. The used remnant for biogas production was obtained following bioethanol production from OMSW subjected to microwave-assisted maleic acid, formic acid, or distilled water which were used for the pretreatment, and was followed with enzymatic hydrolysis and fermentation process. The biochemical methane potential results fitted the modified Gompertz model. No influence of pretreatment was observed on the maximum methane production. A clear difference was observed on the kinetic constant and on the lag phase. The maleic acid pretreatment showed the highest energy conversion efficiency of 71.0% and the energy yield for the combined ethanol production and biomethane production was 12.92 GJ fuel per ton of dry weight of substrate (10.3 MJ/kg from methane and 2.6 MJ/kg from ethanol). This study shows that the synergy between bioethanol production and AD process could exploit the OMSW – energy nexus.
Does Husband’s Job Loss Lead Wife’s Labor Market Entry? Added Worker Effect during the Great Recession
Authors: PAUL TAPAS KUMAR 
Published: May 2022

Abstract
This study uses a logit model to examine the response of women's labor supply to husbands’ job loss in the United States using monthly labor force measures from the Survey of Income and Program Participation (SIPP). While previous studies have investigated such “added worker effects,” few of them have looked at recessionary periods. SIPP longitudinal data allow for application of a dynamic model that considers wives’ responses over an extended period. The analysis shows that, during the Great Recession, the odds that a wife enters the labor force are 1.4 times greater if her husband is unemployed in the prior month. This effect is not dependent on the husband’s duration of unemployment. The estimate is robust to a variety of alternative models. In comparing our estimates of the added worker effect with those of other studies, I find our numbers are generally smaller than those in less developed countries but are similar to those in the United States.
Magnetic Field Reversal around an Active Fast Radio Burst
Authors: Li Di , Dai Shi , Feng Yi , Yang Yuan-Pei , Zhang Yongkun , Niu C.H. , Wang P. , Xue Mengyao , Zhang Bing , Burke-Spolaor Sarah , Law Casey , Lynch Ryan , Connor Liam , Anna-Thomas Reshma , Zhang Lei , Duan Ran , Yao Jumei , Tsai Chao-Wei , Zhu Weiwei , Cruces Marilyn , Hobbs George , Miao C.C. , Niu J.R. , Filipovic Miroslav , Zhu Shiqiang 
Published: May 2022

Abstract
The environment of actively repeating fast radio bursts (FRBs) has been shown to be complex and varying (Michilli et al. 2018). The recently localized FRB~20190520B (Niu et al. 2021) is extremely active, has the largest confirmed host dispersion measure, and is only the second FRB source associated with a compact, persistent radio source (PRS). The main tracer of the magneto-ionic environments is the rotation measure (RM), a path-integral of the line-of-sight component of magnetic field strength (B) and electron density, which does not allow a direct probe of the B-field configuration. Here we report direct evidence for a B-field reversal based on the observed sign change and extreme variation of FRB~20190520B's RM, which changed from +10000 rad m^{-2} to -16000 rad m^{-2} between June 2021 and January 2022. Such extreme RM reversal has never been observed before in any FRB nor in any astronomical object. The implied short-term change of the B-field configuration in or around the FRB could be due to the vicinity of massive black holes, or a magnetized companion star in binary systems, or a young supernova remnant along the line of sight.
Effects of dietary substitution of canola meal with yeast fermentative biomass on growth performance, blood metabolites, hematological index and serum minerals in buffalo male calves
Authors: Sharif Muhammad , Hanif Abdul Rehman , Shahid Muhammad Shoaib , Ahmad Sibtain , Bilal Muhammad Qamar , Riaz Muhammad , Khalid Muhammad Farooq 
Published: May 2022

Abstract
The objective of this study was to evaluate the effect of yeast fermentative biomass as a protein source on blood metabolites, hematological index and serum minerals in buffalo male calves. Four iso-nitrogenous and iso-caloric diets containing 2, 4, 6 and 8% yeast fermentative biomass as a protein source were formulated. Twenty buffalo male calves with approximate body weight of 230–240 kg were used. Calves were divided into four groups with five replicates each. The experiment was lasted for 100 days. First 21 days were for adjustment period while remaining time for collection period. These diets were fed to the animals ad libitum twice a day as a total mixed ration with free access to fresh water for the entire duration of the experiment. Blood samples were collected by jugular vein at the start and end of the trial, serum was harvested. Blood metabolites (blood urea nitrogen and blood glucose), hematological index and serum minerals (calcium, phosphorus, magnesium, sodium, potassium and chloride) were analyzed. Yeast fermentative biomass had non-significant (P > 0.05) effect on the blood glucose, blood urea nitrogen, hematological index and blood serum minerals. However, serum calcium concentration significantly (P < 0.05) increased in the treatment having 8% inclusion level of yeast fermentative biomass at 100th day. It can be concluded that yeast fermentative biomass may be used as alternate protein source without any side effect on the level of blood glucose, blood urea nitrogen, hematological index and serum minerals.
Translation and validation of the Chinese version of the orthorexia nervosa assessment questionnaires among college students
Authors: Li Wanlin , Tan Sixian , Ouyang Ruiqing , Cui Yunfeng , Ma Junrong , Cheng Chen , Mu Yingjun , Zhang Shiwen , Zheng Lu , Xiong Peng , Ni Wanze , Li Luyao , Fan Lina , Luo Yumei , Yu Yinglin , Wang Zimo , Ding Fan , Pan Qiaofei , Jiang Anyi , Huang Jingmin , Cao Wenting , Liu Jun , Ye Yanbin , Zeng Fangfang 
Published: May 2022

Abstract
Purpose: The main objective of the study was to translate, validate, and compare the Chinese ORTO scales (ORTO-15 and ORTO-R). The secondary objective was to assess factors that may be related with risk of orthorexia nervosa (ON). Methods: Two cross-sectional surveys were conducted on March-to-June 2021 for ORTO-15) and April 2022 (ORTO-R). ORTO questionnaires were translated into Chinese using the forward–backward–forward method. Exploratory factor analysis, discriminant validity and confirmatory factor analysis (CFA) were used to examine the construct validity of the assessment questionnaires. The internal consistency was assessed by using the Cronbach alpha coefficient and the test-retest reliability. Multivariate linear regression analysis was used to explore potential impact factors related with ON scores. Results: Totally, 1289 and1084 eligible participants were included for the study of ORTO-15 and ORTO-R, with the mean age of 20.9±2.0 years and 21.0±2.3 years. The internal consistency of Chinese ORTO-15 scale and ORTO-R scale were both satisfactory (α=0.79, ICC=0.79; α=0.77, ICC=0.82). A two-factor solution of ORTO-R was characterized by acceptable goodness-of-fit, whereas the three-factor solution of ORTO-15 showed relatively poor fit. Multivariate linear regression indicated that physical activities and mental disorders were positively associated with ON risk assessed by both ORTO-R and ORTO-15. Conclusion: The Chinese ORTO-R scale were a more reliable tool to screen for ON tendencies than the Chinese version of ORTO-15. Mental disorders and physical activities might be associated with the increased ON risk.Level of evidence Level V (descriptive cross-sectional study).
Enhancement of Biogas Production from Cattle Manure in a Combined Microbial Electrolysis Cell and Anaerobic Digestion System At Short Hydraulic Retention Time
Authors: Dalkilic Kenan , Ugurlu Aysenur 
Published: May 2022

Abstract
The aim of study was to enhance the biogas production from cattle manure in a combined microbial electrolysis cell and anaerobic digestion system (MEC + AD). The MEC + AD reactor were operated on semi continuous mode under different voltage applications and different organic loading rates ranging from 6 g VS/L.d to 30 g VS/L.d. The study was carried out in two parts. In the first part, MEC + AD and conventional anaerobic reactors were compared in terms of biogas production. In the second part, MEC + AD reactor was operated under different voltage applications (0.3, 0.6, and 1.0 V) and organic loading rates. MEC + AD system exhibited 28–52% better biogas production performances (2.03 L/L/d; CH4:75.5% vs 1.43 L/L/d; CH4: 70.4%) compared to control reactor in all sets due to voltage application. In the second part, biogas productions of MEC + AD reactor changed between 3.08 L/L/d and 5.13 L/L/d (75–77.8% CH4) depending on the organic loading rates and applied voltages. Higher voltages (0.6 and 1.0 V) showed better methane production performances especially at high OLRs with respect to lower voltages. Consequently, MEC + AD reactor could be operated efficiently at extreme operational conditions (HRT of 2 days and OLR of 30 g VS/L/d) that conventional anaerobic reactors can not be operated.
Geriatric nutritional risk index as a predictor of prognosis in metastatic renal cell carcinoma treated with nivolumab
Authors: fujiwara ryo , Yuasa Takeshi , Yamamoto Shinya , Fujiwara Motohiro , Urasaki Tetsuya , Oki Ryosuke , Komai Yoshinobu , Oguchi Tomohiko , Numao Noboru , Yonese Junji 
Published: May 2022

Abstract
Background: We evaluate the role of the Geriatric Nutritional Risk Index (GNRI) as a prognostic factor in metastatic renal cell carcinoma patients receiving nivolumab.Methods: Fifty-six consecutive patients with metastatic renal cell carcinoma receiving nivolumab after tyrosine kinase inhibitor between September 2013 and August 2020 at our institution were retrospectively analyzed. The survival outcomes and prognostic factors associated with overall survival (OS) were statistically analyzed. Results: Median follow-up period was 28.6 months. Median progression-free survival (PFS) and 1- and 3-year PFS rates were 26.4 months, 59.7%, and 19.5%, respectively. Median OS and 1- and 3-year OS rates were 48.1 months, 88.9%, and 74.5%, respectively. Thirteen and forty-three patients were classified with low (GNRI <92) and high (GNRI ≥92) GNRI. Patients with low GNRI demonstrated significantly shorter OS (p = 0.0002) and PFS (p = 0.045) than those with high GNRI. In multivariate analysis, GNRI at the time of nivolumab (hazard ratio: 4.38, p = 0.013) was extracted as the predictor for OS in addition to duration from diagnosis to treatment (p = 0.0005) and lymphocyte count (p = 0.026). Integration of the GNRI into the International Metastatic Renal Cell Cancer Database Consortium (IMDC) risk classification improved the c-index from 0.761 to 0.833 (combination of GNRI with IMDC risk classification) and to 0.778 (substitution of GNRI with Karnofsky performance status in IMDC risk classification).Conclusions: GNRI was a significant prognostic biomarker in metastatic renal cell carcinoma patients receiving nivolumab. This simple screening tool could be very useful in clinical practice.
Ground-level ozone in Mekong delta region: precursors, meteorological factors, and regional transport
Authors: Bui Long Ta , Nguyen Phong Hoang 
Published: May 2022

Abstract
The Mekong Delta region (MDR), also known as Vietnam's rice bowl, produced a bountiful harvest of about 23.8 million tons in 2020, accounting for 55.7% of the country's total production, providing food security for 20% of the world population. With the rapid pace of industrialisation and urbanisation, concentration of ozone in the lower atmosphere has risen to a level that reduces crop yields, especially rice, and is, therefore, the subject of research. This study has a goals to simulate the spatio–temporal distribution of ground-level ozone in the area, also to evaluate the impact of precursor emissions and meteorological factors on spatio–temporal distributions of concentration. The study area was divided into six agro-ecological zones to clarify the role of emissions in each zone. The simulation results showed that the ground-level O3 in the MDR ranged from 40.39 µg/m3 to 52.13 µg/m3. In six agro-ecological zones, the average annual ground-level O3 concentration was relatively high, and was the highest in areas six (CZ) and seven (CPZ), with 46.11 µg/m3 and 46.41 µg/m3, respectively. In each zone, the annual average O3 concentration tended to gradually increase from the inner delta to coastal areas. Two types of precursors, NOx and NMVOCs, are the main contributors to O3 pollution, with the largest contribution coming from zone 1 (FAZ) with 91.5 thousand tons of NOx/year and 455.2 thousand tons of NMVOCs/year. Among the meteorological factors considered, relative humidity (RH) and surface pressure (P) were the two main factors that contributed to the increase in ground-level ozone. The spatio–temporal distribution of ground-level O3 in the MDR was influenced by emission precursors from different zones as well as meteorological factors. The present results can help policymakers formulate plans for agro-industrial development in the entire region.