bluuebunny/crossref_metadata_2025_split huggingface dataset:
LAJU ANGKUTAN SEDIMEN MELAYANG DI SUNGAI WIMBI SUB DAS WIMBI KABUPATEN POSO
Authors: Harijanto Herman , Wahid Abdul , Sudhartono Arief , Perori Nikteri 
Published: April 2021

The research purpose was to determine of floating sediment loading rate which transported along Wimbi river water runoff and analyzed the relationship between water discharge with floating sediment discharge in the Wimbi river. The method used in this study was a survey method, namely by conducting direct measurements in the field, including: measurement of water discharge and water sampling for analysis of floating sediment content. Parameter measured for the purpose of analyzing the sediment loading rate, namely floating sediment concentration Cs (mg / l), river water discharge Q (m3 / sec) and floating sediment discharge Qs (kg / sec). The relationship between water discharge and sediment discharge was analyzed using a suspended sediment rating curve. The results showed the flow of river water flowing at the cross section of the Wimbi river ranged from 0.88 m3 / sec - 13.7 m3 / sec (average of 6.17 m3 / sec). Furthermore, the height of the water level (H) flowing in the cross section of the Wimbi river ranged from 0.5 to 1.84 m with average = 1.14m. Sediment loading rates float in the Wimbi river ranged from 2.110 - 99.511kg / sec (average of 35.222 kg / sec). The analyzed results of the relationship between water discharge and floating sediment discharge obtained a positive relationship with a correlation value of 0.96.
EFEKTIVITAS PERTUMBUHAN DYSOXYLUM MOLLISSIMUM BLUME PADA TINGKAT PANCANG DI LAHAN KONDISI TERBUKA DAN TERNAUNGI
Authors: Depari Efratenta Katherina , Nugroho P.B.A. , - Saprinurdin 
Published: April 2021

Kayu Bawang (Dysoxylum mollissimum Blume) has long been used for carpentry and furniture. However, the cultivation of this plant has not been done well. The purpose of this research was to determine the effectiveness of Kayu bawang growth to sapling stage in open and shaded conditions. Planting Kayu bawang as object of the research has been executed since March 24, 2016 on open and shaded condition. The observed variables included diameter, height and leaf chlorophyll of the plant. The measurements were made up to 2-year-old plants. The effectiveness of Kayu bawang growth in open and shaded conditions was tested using the t-test. The results showed that the diameter of Kayu bawang in open condition was 8.91±1.87 cm and in shaded conditions was 5.42±1.67 cm. The height of Kayu bawang in open conditions was 433±70 cm and in shaded condition was 283±100 cm. The chlorophyll of Kayu bawang in open condition was 57.6±5.3 and in shaded condition was 53.8±4.0. Statistical analysis for the three variables showed that the growth of Kayu bawang at the sapling stage in open conditions was more effective than in shaded conditions.
RESPON PERTUMBUHAN ANAKAN BELANGERAN TERHADAP PENYIRAMAN AIR RAWA GAMBUT, AIR TANDAN KOSONG KELAPA SAWIT, DAN KAPUR DOLOMIT
Authors: Achmad Basir , Bakri Sulaiman 
Published: April 2021

The research aimed to analyze the growth response of belangeran (Shorea balangeran) seedlings on the water of palm oil empty bunches and dolomite lime. The research used a method of a completely randomized design, with the treatments: dolomite lime water, oil palm empty bunch water, and peat swamp water as a control. Based on the ANOVA, the treatment had a very significant effect on the increase of height and diameter of the seedlings. The dolomite lime water increased the seedling height of 9.434 cm, followed by oil palm empty bunches with height increase of 6.800 cm, and peat swamp water/control with the increase of 5.434 cm. Based on the LSD test, the height increase by dolomite lime water treatment was very significantly different from the height increase by oil palm empty bunches water and the height increase by peat swamp water. The water treatment of empty oil palm bunches increased diameter of 0.156 cm, followed by dolomite lime water with the increase of 0.147 cm, and peat swamp water with the increase of 0.128 cm. Based on the LSD test, the increase in diameter by the oil palm empty bunches was very significantly different from the diameter increase by the control, but was not significantly different from the increase diameter by the dolomite lime water. It is advisable to mix peat swamp water with dolomite lime with a concentration of 100 grams/200 liters or oil palm empty bunches with a concentration of 5 empty bunches/200 liters of water before using it to water the belangeran seedlings.
Penyalahgunaan Jembatan Takisung Oleh Para Remaja Di Kecamatan Takisung Kabupaten Tanah Laut
Authors: Wiliyanti Nor Qori 
Published: April 2021

Jembatan merupakan suatu struktur konstruksi yang berfungsi untuk menghubungkan dua bagian jalan yang terputus oleh adanya rintangan-rintangan, namun apabila jembatan disalahgunakan maka akan terjadi permasalahan. Penelitian ini bertujuan: (1) untuk mengetahui pandangan remaja terhadap jembatan Takisung. (2) penggunaan jembatan Takisung bagi remaja. (3) untuk menganalisis faktor pendorong kalangan remaja menyalahgunakan jembatan Takisung. Hasill penelitian menunjukan bahwa: (1) Pandangan remaja terhadap jembatan Takisung, dimana para remaja beranggapan jembatan boleh digunakan sebagai tempat untuk berkumpul dengan teman-teman. (2) Para remaja menggunakan jembatan tidak hanya sebagai penghubung jalan, namun juga digunakan sebagai tempat berkumpul. (3) Para remaja menyalahgunakan jembatan Takisung sebagai tempat untuk berkumpul karena jembatan Takisung berada di pesisir pantai sehingga ketika mereka berkumpul suasananya santai selain itu ramai dikunjungi para remaja ketika sore hari membuat para remaja yang lain ikut berkumpul di tempat itu. Kata Kunci: Remaja, Jembatan, berkumpul
An Improved CNN-LSTM Network Based On Hierarchical Attention Mechanism For Motor Bearing Fault Diagnosis
Authors: Jiao Yisha , Wei Yaoguang , An Dong , Li Wenshu , Wei Qiong 
Published: April 2021

Abstract
Motor is widely used in industrial production, but the frequent motor bearing fault brings great safety hazard to the production. Traditional fault diagnosis methods often require prior signal processing knowledge and are inefficient. In order to solve this problem, the artificial intelligence fault diagnosis method has been applied in motor bearing fault diagnosis. With the help of the original motor running state signal collected by the sensors, non-invasive real-time detection of motor bearing fault can be realized. This paper presents an improved CNN-LSTM network based on hierarchical attention mechanism(CALSTM) for motor bearing fault diagnosis. In this artificial intelligence method, the fault characteristics of the original data can be learned by convolutional neural network, and then the importance of the features can be obtained by using hierarchical attention mechanism. Finally, the weighted results are sent to the LSTM network for time dimension selection. This method does not need signal processing and adaptively weights the features of each sample learned by the neural network, which enhances the explanatory ability of the learning process of the neural network. When carry out experiments on CWRU data set, and the experimental results indicate that, compared with several common models, CALSTM method has a better diagnosis effect, and the overall accuracy of the model reached 99.22%.
Tension-free Dirac strings and steered magnetic charges in 3D artificial spin ice
Authors: Koraltan Sabri , Slanovc Florian , Bruckner Florian , Nisoli Cristiano , Chumak Andrii , Dobrovolskiy Oleksandr , Abert Claas , Suess Dieter 
Published: April 2021

Abstract
3D nano-architectures present a new paradigm in modern condensed matter physics with numerous applications in photonics, biomedicine, and spintronics. They are promising for the realisation of 3D magnetic nano-networks for ultra-fast and low-energy data storage. Frustration in these systems can lead to magnetic charges or magnetic monopoles, which can function as mobile, binary information carriers. However, Dirac strings in 2D artificial spin ices bind magnetic charges, while 3D dipolar counterparts require cryogenic temperatures for their stability. Here, we present a micromagnetic study of a highly-frustrated 3D artificial spin ice harboring tension-free Dirac strings with unbound magnetic charges at room temperature. We use micromagnetic simulations to demonstrate that the mobility threshold for magnetic charges is by 2 eV lower than their unbinding energy. By applying global magnetic fields, we steer magnetic charges in a given direction omitting unintended switchings. The introduced system paves a way towards 3D magnetic networks for data transport and storage.
Cancer Survivors’ Greatest Challenges of Living with an Ostomy: Findings from the Ostomy Self-Management Telehealth (OSMT) Randomized Trial
Authors: Grant Marcia , Sun Virginia , Tallman Nancy J. , Wendel Christopher S. , McCorkle Ruth , Ercolano Elizabeth , Simons Christie , Mo Julia , Raza Sabreen , Donahue Deborah , Passero Frank , Henson Joshua , MacDougall Lyn , Friedlaender Jonathan , Pitcher Pamela , Fry Dan , Yonsetto Pete , Holcomb Michael J. , Hornbrook Mark C. , Weinstein Ronald S. , Krouse Robert S. 
Published: April 2021

Abstract
ObjectivesAn ostomy results in lifelong quality of life changes for a cancer survivor. We describe the greatest challenges reported from a randomized trial of cancer survivors with stomas (ostomies).MethodsCancer survivors with ostomies participating in a multi-site randomized prospective trial of an Ostomy Self-Management Telehealth (OSMT) Program versus usual care (UC) were surveyed at six months post accrual. An open-ended question requested greatest challenges after ostomy surgery. Quantitative descriptive and qualitative analyses were used to examine greatest challenges reported.Results118 trial participants identified greatest challenges with 55 in the OSMT and 63 in the UC. Six conceptual domains were used to code comments – Physical, Psychological, Social and Spiritual Quality of Life; Ostomy Specific Issues, and Health Care Issues. The OSMT contributed 187 comments and UC contributed 235 comments. Ostomy Specific Issues and Social Well Being had the most comments overall with UC contributing more comments in all domains except Physical Well Being. Word Clouds revealed Post-Operative and Treatment Related Issues and Going Out in Public as the most common challenges in both groups. Word Clouds compared types of ostomies revealing Bowel Function challenges (colostomy group), Difficulties Going Out in Public (ileostomy group), and Positive Support (urostomy group).ConclusionsFewer challenges submitted by the OSMT group provides beginning evidence of the OSMT Program impact. Dominant challenges across both groups were Social Well Being and Ostomy Care. Challenges varied by type of ostomy. Findings support long term care and support for all cancer survivors with ostomies.Trial Registration: NCT02974634
Can COVID-19 Cause Peripheral Facial Nerve Palsy?
Authors: Egilmez Oguz Kadir , Gundogan Mahmut Emre , Yilmaz Mahmut Sinan , Guven Mehmet 
Published: April 2021

Abstract
Background/Objective: The aim of our study is to evaluate the relationship between peripheral facial paralysis and the patients who had a contact with a Coronavirus Disease 2019 (COVID-19) patient or had COVID-19.Methods: Patients with a history of contact with a COVID-19 patient or having COVID-19 disease, who were admitted to the emergency department for peripheral facial paralysis in the last 6 months were included in the study. Facial paralysis grade at first presentation, treatment modality, treatment duration, post-treatment facial paralysis grade, and additional findings were analyzed.Results: A total of 34 patients, 20 females and 14 males, were included into the study. Nasal-oropharyngeal Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) test taken from patients with a history of contact, and patients having COVID-19 disease were determined as positive in 5 and 3 patients, respectively. Peripheral facial paralysis was detected as an initial finding in 5 of these 8 patients, and paralysis developed in 7 to 12 days after the diagnosis of the COVID-19 disease in the remaining 3 patients. The grade of first admission paralysis did not change in one patient in the (+) group, while improvement was observed in all patients in the (-) group.Conclusion: Neuroinvasive potential of COVID-19 in central and peripheral nervous system was reported in current literature. Our study indicates peripheral facial palsy can also be encountered during the clinical course of COVID-19 and should be considered as a finding of this disease.
Bifunctional copper-zinc bimetallic tungstate nanoparticles decorated reduced graphene oxide (CuZnWO4/rGO) for high-performance photocatalytic and supercapacitor application
Authors: Dhandapani Elumalai , S Prabhu , Duraisamy Navaneethan , R Ramesh 
Published: April 2021

Abstract
In the present work, an attempt to synthesis of bimetallic copper zinc tungstate (CuZnWO4) nanoparticles with reduced graphene oxide (CuZnWO4/rGO) via one-step hydrothermal technique. The synthesized CuZnWO4/rGO composite are characterized by Fourier transform infrared spectroscopy (FTIR), Powder X-ray diffraction (XRD), scanning electron microscopy (SEM), UV-Vis diffuse reflectance spectroscopy (UV-DRS) and Photoluminescence (PL). The photocatalytic performance is examined by the degradation of methylene blue (MB) dye under visible-light irradiation. The MB dye isalmost 73 % degraded within 80 minutes. Further, the electrochemical performance of hybrid CuZnWO4–rGOcomposite showed the specific capacity (SC) of 480 Fg− 1 at 4 Ag− 1 in 6 M KOH electrolyte with excellent cyclabilityconserving a capacitance retention of 127% after 5000 cycles due to increase diffusion of electrolyte ions to the electrode materials. These results support that the hybrid CuZnWO4–rGO composite as an appropriate electrode material for high-performance SCs electrode and an auspicious catalyst for the degradation of dye (organic) contaminants in aqueous media.
Quantitative Analysis of the MRI Features in the Differentiation of Benign, Borderline, and Malignant Epithelial Ovarian Tumors
Authors: Xiao Fuxia , Zhang Lin , Yang Sihua , Peng Kun , Hua Ting , Tang Guangyu 
Published: April 2021

Abstract
Objective: This study aims to investigate the value of the quantitative indicators of MRI in the differential diagnoses of benign, borderline, and malignant epithelial ovarian tumors (EOTs).Materials and Methods: The study population comprised 477 women with 513 masses who underwent MRI and operation, including benign EOTs (BeEOTs), borderline EOTs (BEOTs), and malignant EOTs (MEOTs). The clinical information and MRI findings of the three groups were compared. Then, multivariate logistic regression analysis was performed to find the independent diagnostic factors. The receiver operating characteristic (ROC) curves were also used to evaluate the diagnostic performance of the quantitative indicators of MRI and clinical information in differentiating BeEOTs from BEOTs or differentiating BEOTs from MEOTs.Results: The MEOTs likely involved postmenopausal women and showed higher CA-125, HE4 levels, ROMA indices, peritoneal carcinomatosis and bilateral involvement than BeEOTs and BEOTs. Compared with BEOTs, BeEOTs and MEOTs appeared to be more frequently oligocystic (P < 0.001). BeEOTs were more likely to show mild enhancement (P < 0.001) and less ascites (P = 0.003) than BEOTs and MEOTs. In the quantitative indicators of MRI, BeEOTs usually showed thin-walled cysts and no solid component. BEOTs displayed irregular thickened wall and less solid portion. MEOTs were more frequently characterized as solid or predominantly solid mass (P < 0.001) than BeEOTs and BEOTs. The multivariate logistic regression analysis showed that volume of the solid portion (P = 0.006) , maximum diameter of the solid portion(P = 0.038), enhancement degrees (P < 0.001), and peritoneal carcinomatosis (P = 0.011) were significant indicators for the differential diagnosis of the three groups. The area under the curves (AUCs) of above indicators and combination of four image features except peritoneal carcinomatosis for the differential diagnosis of BeEOTs and BEOTs, BEOTs and MEOTs ranged from 0.74 to 0.85, 0.58 to 0.79, respectively.Conclusion: In this study, the characteristics of MRI can provide objective quantitative indicators for the accurate imaging diagnosis of three categories of EOTs and are helpful for clinical decision-making. Among these MRI characteristics, the volume, diameter, and enhancement degrees of the solid portion showed good diagnostic performance.
Preparation of Aspergillus niger 426 naringinases for debittering citrus juice using of agro-industrial residues
Authors: de Oliveira Fernanda , Castellane Tereza Cristina Luque , de Melo Marcelo Rodrigues , Buzato João Batista 
Published: April 2021

Abstract
Naringin (4,5,7-trihydroxy flavanone-7-rhamnoglucoside), considered as the main bitter component of grapefruit, requires the use of enzymes to reduce the level of this substance during juice processing. For this reason, it has been the focus of many studies. To increase the production of naringinase by Aspergillus niger cultivated in solid-state fermentation (SSF), it was verified whether the influence of agro-industrial residues as fermentation substrates and, finally, selected the best of the three inducers, or their mixtures to remove the bitterness of grapefruit juice. Cultivation with 2.3 g of grapefruit peel, 2.5 g of rice bran, and 5.2 g of wheat bran and medium supplementation with a mixture of naringin, rutin, and hesperidin in the concentration of (g / L): 2, 5, 4.5, and 3.0, respectively, leading to a maximum activity of 28 U / mL. The results indicate that the sequencing procedure, which allowed the definition of an optimal mixture of components, is a new way for microorganisms to have a high naringinase yield, in particular by SSF, since our data showed a 96% increase in the production of naringinase.
A Randomized Clinical Control Study on The Efficacy of Three-Dimensional Upper Limb Robotic Exoskeleton Training in Chronic Stroke
Authors: Frisoli Antonio , Barsotti Michele , Sotgiu Edoardo , Lamola Giuseppe , Procopio Caterina , Chisari Carmelo 
Published: April 2021

Abstract
Background - Although robotics assisted rehabilitation has proven to be effective in stroke rehabilitation, a limited functional improvements in Activities of Daily Life has been also observed after the administration of the robotic intervention. To this aim in this manuscript we compare the efficacy in terms of both clinical and functional outcomes of a robotic training performed with a multi-joint functional exoskeleton in goal-oriented exercises compared to a conventional physical therapy program, equally matched in terms of intensity and time. As a secondary goal of the study, it was assessed the capability of kinesiologic measurements - extracted by the exoskeleton robotic system - of predicting the rehabilitation outcomes using a set of robotic biomarkers collected at the baseline. Methods – A parallel-group randomized clinical trial was conducted within a group of 26 chronic post-stroke patients. Patients were randomly assigned to two groups receiving robotic or manual therapy. The primary outcome was the change in score on the upper extremity section of the Fugl-Meyer Assessment (FMA) scale. As secondary outcome a specifically designed bimanual functional scale, Bimanual Activity Test (BAT), was used for upper limb functional evaluation. Two robotic performance indices were extracted with the purpose of monitoring the recovery process and investigating the interrelationship between pre-treatment robotic biomarkers and post-treatment clinical improvement in the robotic group. Results – A significant clinical and functional improvements in both groups (p<0.01) was reported. More in detail a significantly higher improvement of the robotic group was observed in the proximal portion of the FMA (p<0.05) and in the timing for accomplishing the tasks of the BAT (p<0.01). The multilinear-regression analysis pointed out a significant correlation between robotic biomarkers at the baseline and change in FMA score (R2 = 0.91, p<0.05), suggesting their potential ability of predicting clinical outcomes. Conclusion – Exoskeleton-based robotic upper limb treatment might lead to better functional outcomes, if compared to manual physical therapy. The extracted robotic performance could represent predictive indices of the recovery of the upper limb. These results are promising for their potential exploitation in implementing personalized robotic therapy. Clinical Trial Registration – clinicaltrials.gov, NCT03319992 Unique Protocol ID: RH-UL-LEXOS-10. Registered 20.10.2017, https://clinicaltrials.gov/ct2/show/NCT03319992
Coupled Structural-Rheological Numerical Analysis of Injection Mold
Authors: Oliveira Cedrico , Peixinho Nuno , Meireles José 
Published: April 2021

Abstract
The production of injection molds is an important industry for manufacturing of plastic parts. Considering that time to market reduction is important, it becomes fundamental the use of numerical simulation to reduce design errors. The objective of this work is the presentation of an algorithm for the connection between Moldflow and ANSYS to import loads and then the study of the differences on the approaches studying the tool behavior when considering quasi-static or transient numerical simulation. From this work it was possible to have an overview of where each kind of simulation approach could be used.
DeepPhospho: Accelerate DIA phosphoproteome profiling by Deep Learning
Authors: Shui Wenqing , Lou Ronghui , Liu Weizhen , Li Rongjie , Li Shanshan , He Xuming 
Published: April 2021

Abstract
Phosphoproteomics integrating data-independent acquisition (DIA) has enabled deep phosphoproteome profiling with improved quantification reproducibility and accuracy compared to data-dependent acquisition (DDA)-based phosphoproteomics. DIA data mining heavily relies on a spectral library that in most cases is built on DDA analysis of the same sample. Construction of this project-specific DDA library impairs the analytical throughput, limits the proteome coverage, and increases the sample size for DIA phosphoproteomics. Herein we introduce a novel deep neural network, DeepPhospho, which conceptually differs from previous deep learning models to achieve accurate predictions of LC-MS/MS data for phosphopeptides. By leveraging in silico libraries generated by DeepPhospho, we established a new DIA workflow for phosphoproteome profiling which involves DIA data acquisition and data mining with DeepPhospho predicted libraries, thus circumventing the need of DDA library construction. Our DeepPhospho-empowered workflow substantially expanded the phosphoproteome coverage while maintaining high quantification performance, which led to the discovery of more signaling pathways and regulated kinases in an EGF signaling study than the DDA library-based approach. DeepPhospho is provided as a web server to facilitate user access to predictions and library generation.