bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimizing Omnibus Law in Indonesia: A Legal Enquiry on the Use of Artificial Intelligence for Legislative Drafting
Authors: Priambudi Zaki , Papuani Namira Hilda , Iskandar Ramdhan Prawira Mulya 
Published: February 2021

Omnibus law is often regarded as a practical solution to harmonize and synchronize statutory regulations. In practice, the application of this model tends to be pragmatic and less democratic. This paper aims to analyze the essential considerations for selecting the omnibus law model in Indonesia, following its implementation challenges and the relevance of using Artificial Intelligence (AI) in the legislation. By combining doctrinal and socio-legal research methods, this paper answers the legal enquiry for optimizing AI through omnibus law model legislation. The results of this study indicate that AI cannot immediately replace the role of the legislative institution but it merely acts as a "tool" and not as a "determinant" in the legislative process. In this context, there are two AI features that can assist legislative bodies in designing the omnibus law model; they are document review as a construction scanner for legislation and predictive analytics as a prediction system. Both features can help legislative bodies optimize the omnibus law model, which tends to have a high complexity level. As a follow-up, the government should establish a special institution to optimizing the AI-based legislation.
KEYWORDS: Omnibus Law, Artificial Intelligence, Legislative Drafting, Public Participation.
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF ONLINE MENGGUNAKAN EASYCLASS BERBANTUAN GEOGEBRA MATERI PROGRAM LINIER
Authors: Mutrofin Siti , Setiawani Susi , Hussen Saddam 
Published: February 2021

This development research produces online interactive learning media using GeoGebra-assisted linear programming Easyclass. The purpose of this study is to describe the process and results of developing interactive online learning media using GeoGebra-assisted Easyclass linear program material. Research using the 4-D Thiagarajan model. The study was conducted at MAN 2 Jember, followed by 24 students of class XI IPA 4. The results showed a correlation value of 0.917 so that the media was declared valid with a very high category. Practicality was analyzed based on a student response questionnaire showing a percentage of 99% so that it was declared practical with excellent criteria. The effectiveness was analyzed based on the test scores of student learning outcomes after using instructional media obtained a percentage of 88% of the number of students who scored more than 75 which were categorized very well. Based on the results of data analysis, online interactive learning media using Easyclass-assisted GeoGebra linear program material meets the criteria of validity, practicality and effectiveness so that the media can be used in carrying out learning activities.
Keywords: Development, Easyclass, GeoGebra, Linear Programming
EKSPLORASI ETNOMATEMATIKA PADA KERAJINAN KAYU DI DESA TUTUL KECAMATAN BALUNG SEBAGAI BAHAN AJAR GEOMETRI
Authors: Kholifatuzzuhro Aina , Sunardi Sunardi , Monalisa Lioni Anka 
Published: February 2021

This study aims to explore anything ethnomatematics related to woodwork in Tutul Village, Jember. Woodcraft is a craft made from wood. This type of research is a study using a qualitative approach with ethnographic design. Research subjects in this study were craftsmen and owners of "Ara Collections" wood production houses. In this study the object is focused on bracelets, necklaces, and keeping. Based on the results of the study, it can be seen that wood crafts have mathematical elements. The mathematical elements found are ball, tube, cube, integrated cone, rectangular flat, circle, parabolic, ellipsoid, hyperbole, hyperbole, geometric patterns, reflection, dilation, and congruence and concordance. The teaching material made is in the form of a geometry test package related to ethnomatematics in wood crafts in Tutul Village, Balung Sub-District, Jember.

Keywords: Ethnomatematics; Woodcraft; Geometry; Teaching Materials
Genre Expectations and Viewer Reaction to Our Planet: Are Audiences Motivated to Act More Sustainably?
Authors: Ahn Claire 
Published: February 2021

As more people turn to documentaries to learn about environmental issues it becomes even more important to consider the ways in which genre and its representational patterns, such as the use of images, affect viewers. Re-examining the multiliteracies framework and grounded in rhetorical genre studies, this paper explores the first two episodes of Our Planet, a Netflix docu-series that catalyzed strong responses based on two jarring image sequences. The purpose of this paper is to examine how our familiar understandings of particular genres impacts our understanding of particular issues and what happens when the familiar patterns of a genre are challenged.
PENGEMBANGAN APLIKASI ANDROID UNTUK PEMBELAJARAN PNEUMATIK
Authors: Setiadi Anwar , Yuliatmojo Pitoyo , Nurhidayat Diat 
Published: February 2021

Penelitian ini merupakan pengembangkan aplikasi android untuk pembelajaran pneumatik dengan mengetahui tingkat kelayakannya aplikasi berdasarkan penilaian ahli materi, ahli media, praktisi pembelajaran pneumatik (guru), dan siswa. Penelitian menggunakan metode pengembangan (Research and Development) yang diadaptasi dari model pengembangan ADDIE (Analisis, Design, Development, Implementation, and Evaluation), Hasil Penelitian menunjukan bahwa tingkat kelayakan aplikasi android pembelajaran pneumatik mendapatkan penilaian berdasarkan : 1) ahli materi diperoleh rata-rata skor 4.55 yang termasuk kategori sangat layak, 2) ahli media diperoleh rata-rata skor 4.31 yang termasuk kategori sangat layak, 3) praktisi pembelajaran pneumatik (guru) diperoleh rata-rata skor 4.54 yang kategori sangat layak, dan 4) Siswa diperoleh rata-rata skor 4.03 yang termasuk kategori layak. Maka dapat disimpulkan bahwa pengembangan aplikasi android untuk pembelajaran pneumatik layak digunakan sebagai multimedia pembelajaran interaktif dalam pembelajaran pneumatik.
ANALISIS JARINGAN AKSES INTERNET MENGGUNAKAN MIKROTIK ROUTER OS DI SMK TUNAS HARAPAN DENGAN OPTIMALISASI LOAD BALANCING MENGGUNAKAN PARAMETER QoS (Quality of Service)
Authors: Daud Muhammad Tulloh  , M. Ficky Duskarnaen  , Hamidillah Ajie  
Published: February 2021

Penelitian ini bertujuan untuk mengetahui quality of service jaringan akses Internet dengan optimalisasi load balance pada Mikrotik Router OS di SMK Tunas Harapan Jakarta . Penelitian ini menggunakan metode penelitian rekayasa teknik dengan metode pengembangan sistem NDLC (Network Development Life Cycle), tahap implementasi sampai pada tahapan pengukuran meliputi throughput, jitter, packet loss, dan delay dengan melakukan transfer data dan monitoring streaming dari laptop client ke server serta penerapan load balancing untuk optimalisasi dua ISP. Berdasarkan hasil akhir dari analisis dapat simpulkan bahwa kinerja parameter quality of service yaitu throughput, jitter, packet loss, dan delay pada jaringan akses Internet SMK Tunas Harapan termasuk dalam kategori Kurang Memuaskan menurut TIPHON.
Management of Missed Type-2 Monteggia Fracture Equivalent in a 9-Year-Old Child
Authors: Gopinathan Nirmal Raj , Rangasamy Karthick , Vatsya Pulak , Behera Prateek 
Published: February 2021

Case:
A 9-year-old girl presented with a painful stiff elbow consequent to an injury she had sustained 4 months ago. The radiographs were suggestive of a type 2 Monteggia equivalent injury. She underwent an open reduction of the radial neck fracture and proximal ulna extension osteotomy to restore radiocapitellar alignment. At one-year follow-up, the child had a painless elbow with a good functional outcome.

Conclusion:
Monteggia lesions can be frequently missed and result in significant morbidity. Obtaining appropriate radiographs for a comprehensive understanding of the injury and proper surgical planning is important for achieving a good functional outcome in such injuries.
Primary Paraspinal Hydatid Cyst in a Patient Presenting with Low Back Pain
Authors: Raoulis Vasileios , Mitrousias Vasileios , Malahias Michael-Alexander , Stofas Anastasios , Fyllos Apostolos , Malizos Konstantinos N. 
Published: February 2021

Case:
A 54-year-old man presented with low back pain and low-grade fever. Palpation revealed a focal mass of the lumbar region. Radiographs were normal, but magnetic resonance imaging demonstrated a multicystic mass at the level of L2-L4. The initial diagnosis of a hydatid cyst was confirmed after surgical excision.

Conclusion:
Although primary paraspinal hydatidosis is rare, physicians should be aware of it when dealing with patients suffering from low back pain combined with red-flag symptoms. Especially in rural regions or areas where populations live in close proximity to host animals, primary paraspinal hydatidosis should be included in the differential diagnosis.
GestaltMatcher: Overcoming the limits of rare disease matching using facial phenotypic descriptors
Authors: Krawitz Peter , Hsieh Tzung-Chien , Bar-Haim Aviram , Moosa Shahida , Ehmke Nadja , Gripp Karen , Pantel Jean Tori , Danyel Magdalena , Mensah Martin-Atta , Horn Denise , Fleischer Nicole , Bonini Guilherme , Schmid Alexander , Knaus Alexej , Sivalingam Sugirthan , Kamphans Tom , Ebstein Frédéric , Krüger Elke , KURY Sébastien , Bezieau Stephane , Schmidt Axel , Peters Sophia , Engels Hartmut , Mangold Elisabeth , Kreiß Martina , Cremer Kirsten , Perne Claudia , Betz Regina , Grundmann-Hauser Kathrin , Haack Tobias , Wagner Matias , Brunet T. , Bentzen Heidi Beate , Spielmann Malte , Schaaf Christian , Mundlos Stefan , Nöthen Markus 
Published: February 2021

Abstract
The majority of monogenic disorders cause craniofacial abnormalities with characteristic facial morphology. These disorders can be diagnosed more efficiently with the support of computer-aided next-generation phenotyping tools, such as DeepGestalt. These tools have learned to associate facial phenotypes with the underlying syndrome through training on thousands of patient photographs. However, this “supervised” approach means that diagnoses are only possible if they were part of the training set. To improve recognition of ultra-rare diseases, we created GestaltMatcher, which uses a deep convolutional neural network based on the DeepGestalt framework. We used photographs of 21,836 patients with 1,362 rare disorders to define a “Clinical Face Phenotype Space”. Distance between cases in the phenotype space defines syndromic similarity, allowing test patients to be matched to a molecular diagnosis even when the disorder was not included in the training set. Similarities among patients with previously unknown disease genes can also be detected. Therefore, in concert with mutation data, GestaltMatcher could accelerate the clinical diagnosis of patients with ultra-rare disorders and facial dysmorphism.
Clinical and epidemiological characteristics of carbapenem-resistant Klebsiella pneumoniae infections in a tertiary hospital in China
Authors: Cui Zhiwen , Wang Lirui , Chang Wei , Li Minghui , Li Yuexia , Feng Min 
Published: February 2021

Abstract
Background：The infections due to carbapenem-resistant Klebsiella pneumonia (CR-KP) have become an important problem. The aim of the study is to evaluate the clinical and epidemiological characteristics of CR-KP.
Results: The CR-KP infections overall mortality was 37.3%, and bloodstream infections mortality was 66.2%. Survival analysis revealed that there were statistically significant differences between bloodstream infection and pulmonary and drainage fluid infection. Hemopathy, age (>60 years), tumors, diabetes, septic shock, acute kidney injury and stroke were independent predictors associated with the 30-day mortality. Multivariate linear regression showed that survival time was negatively correlated with APACHE II score and SOFA score, while positively correlated with LYM. Chi-square test showed that antimicrobial regimen combined carbapenems, tigecycline with polymyxin B was superior the one combined carbapenems with polymyxin B. But there was not statistically significant difference between carbapenems plus tigecycline and carbapenems plus polymyxin B. Ceftazidime avibactam-based antimicrobial regimens also had no advantage over other therapeutic regimens.
Conclusions: Our study confirmed there is a high mortality rate in CR-KP infections, especially in the bloodstream infections. The outcome is greatly influenced by the patients’ clinical conditions. Antimicrobial regimen combined carbapenems, tigecycline with polymyxin B might be a better choice.
Using a GIS-based order weight Average (OWA) Methods to Predict Suitable Location for Artificial Recharge of Groundwater
Authors: Mokarram Marzieh , Negahban Saeed , Abdolali Ali , Ghasemi Mohammad Mehdi 
Published: February 2021

Abstract
The purpose of this study is to use the GIS-based analytic hierarchy process (AHP) and order weight average (OWA) to determine suitable locations for the artificial recharge of groundwater (ARG). Therefore, after preparing the fuzzy maps for each parameter, AHP method is used to pari comparison and determine the weight of each parameter. Then, using the OWA-AHP method based on different levels of confidence (different α values ​​), the weighting is done for each parameter to prepare the final land suitability maps with different risk levels. Also, the adaptive network-based fuzzy inference system (ANFIS) method is used to predict land suitability classes using input parameters. Then, using the Best subset regression method, the most important effective parameters for ARG are identified. The results of the Fuzzy-AHP method show that 27% of the area (in different parts) has good and very good conditions for ARG. The results of the combined OWA-AHP method show that, in case of low-level risk and no trade-off, more area is in very low class (80 %) while in case of the high level of risk and average trade-off, the highest area is in the very low class (27 %). The results of the ANFIS method show that fuzzy c–means (FCM) and sub-clustering methods have high accuracy to predict suitable places for ARG. The results of the best subset regression method show that slope, lithology, land use, and altitude with the lowest Cp values ​ (5.2) are effective parameters to determine ARG.
Association of central arterial blood pressure and left ventricular hypertrophy in patients with chronic kidney disease
Authors: Cai Ruyi , Shao Lina , Zhu Yifan , Zhang Jinshi , Liu Yueming , He Qiang 
Published: February 2021

Abstract
Aims: In the general population, central arterial blood pressure has proved to be more closely related to left ventricular hypertrophy than brachial arterial blood pressure. We aimed to investigate whether this relationship was true in patients with chronic kidney disease. Methods: In this retrospective study, we reviewed the medical records of 289 adult patients with chronic kidney disease from the Zhejiang Provincial People’s Hospital in Zhejiang, China. Demographic, echocardiographic, and brachial and central blood pressure parameters were retrieved from medical records. Central blood pressure was measured using the SphygmoCor® CvMS (AtCor, Australia) device and its corresponding software. Multivariate logistic regression analyses were performed to identify independent predictors of left ventricular hypertrophy. Receiver operating characteristic curves were used to determine the ability of central and brachial blood pressure to predict left ventricular hypertrophy.Results: The left ventricular mass index was positively associated with both central and brachial blood pressures. However, multiple logistic regression analysis demonstrated that a central pulse pressure ≥ 58 mm Hg was an independent risk factor for left ventricular hypertrophy (OR=5.597, 95%CI 2.363-13.259, P <0.001). Brachial pulse pressure is not superior to central pulse pressure in predicting left ventricular hypertrophy (AUC = 0.695, 95%CI 0.634-0.756, P < 0.001 vs. AUC = 0.687, 95%CI: 0.626 to 0.748, P < 0.001, respectively; P = 0.4824).Conclusions: Our results suggested that, similarly to the general population, central pulse pressure is a better parameter for predicting the occurrence of left ventricular hypertrophy in patients with chronic kidney disease.
Seed priming with Brassinosteroids alleviates Aluminum toxicity in rice via improving antioxidant defense system and suppressing aluminum uptake
Authors: Basit Farwa , Jiaxin Liu , Jianyu An , Min Chen , Can He , Xiaobo Zhu , Zhan Li , Jin Hu , yajing Guan 
Published: February 2021

Abstract
Brassinosteroids (BRs) are growth-promoting hormones that exhibit high biological activities inside numerous plant species. BRs play a protective role in plants against various stresses. In the present study, seed priming of 24-epibrassinolide (0.01µM) was used to demonstrate the mitigation effect of Aluminum (400µM) in rice plants. BRs application was found effective in control beside plants under aluminum (Al) toxicity. It enhanced seed germination energy, germination percentage as well as root length, shoots length, fresh and dry weight as well under the stressed condition as well as inside control (primed with BRs). Although, Aluminum toxicity induced reduction in seed growth parameters, also in photosynthetic pigments, increased MDA content, and H2O2 production by enhancing the activities of antioxidative enzymes such as ascorbate peroxidase, catalase, and peroxidase in both roots and shoots. These changes were noticed higher inside tolerant variety (YLY-689) as compared to sensitive cultivar (CY-927). Interestingly, 24-EBL copped the stress through decreasing MDA content as well as H2O2 production by more stimulating antioxidant activities to modulate the stress condition under Al stress. Gene expression analysis of SOD-Cu-Zn, SOD-Fe, CATa, CATb, APX02, and APX08 also supported the data related to antioxidant activities. These findings led us toward the conclusion that more induction of antioxidant activities with effective response toward other seed growth parameters with low uptake of Aluminum under 400µM Aluminum stress, 24-EBL was responsible for the mitigation of aluminum stress in rice seedlings.
Adaptive Hybrid Machine Learning Model For Forecasting The Step-Like Displacements of Reservoir Colluvial Landslides: A Case Study in The Three Gorges Reservoir Area, China
Authors: Linwei Li , Wu Yiping , Fasheng Miao , Yang Xue , Yepiao Huang 
Published: February 2021

Abstract
Constructing an accurate and stable displacement prediction model is essential to build a capable early warning system for landslide disasters. To overcome the drawbacks of previous displacement prediction models for step-like landslides, such as the incomplete or excessive decompositions of cumulative displacements and input factors and the redundancy or lack of input factors, we propose an adaptive hybrid machine learning model. This model is composed of three parts. First, candidate factors are proposed based on the macroscopic deformation response of landslides. Then, the landslide displacement and its candidate factors are adaptively decomposed into different displacement and factor components by applying optimized variational mode decomposition (OVMD). Second, in the gray wolf optimizer-based kernel extreme learning machine (GWO-KELM) model, the global sensitivity analysis (GSA) of the prediction results of different displacement components to each decomposed factor is analyzed based on the PAWN method. Then, the decomposed factors are reduced according to the GSA results. Third, based on the reduced factors, the optimal GWO-KELM models of the different displacement components are established to predict the displacement. Taking the Baishuihe landslide as an example, we used the raw data of three representative monitoring sites from June 2006 to December 2016 to verify the validity, accuracy, and stability of the model. The results indicate that the proposed hybrid model can effectively determine the displacement decomposition parameters. In addition, this model performed well over a three-year forecast with low model complexity.
Random compound mutagenesis breeding of Bacillus amyloliquefaciens X030 with high resistance to pathogenic bacteria on grass carp
Authors: Zhou Pengji , Huang Haiyan , Lu Jiaoyang , Zhu Zirong , Xie Junyan , Xia Liqiu , Luo Sisi , Zhou Kexuan , Chen Wenhui , Ding Xuezhi 
Published: February 2021

Abstract
Background: Bacillus amyloliquefaciens X030 (BaX030) was obtained by screening from peanut fields in Henan Province, China. It had broad-spectrum antibacterial activity against fish pathogens Aeromonas hydrophila and Aeromonas veronii. In order to improve its antibacterial effect, BaX030 was carried out the compound mutagenesis that atmospheric and room temperature plasma (ARTP) combined with nitrosoguanidine (NTG). Results: The result showed the yield of macrolactin A and oxydifficidin of the mutant N-11 were increased by 2.01 times and 3.68 times, respectively. Re-sequencing found that the corresponding 9th and 15th gene clusters had 4 and 6 SNP mutations, respectively, the 15th gene cluster also had 7 InDel mutations. Scanning electron microscopy observed that the N-11 became thin and long. The results of qRT-PCR indicated that feeding the N-11 can increase the expression of immune factors in the liver or kidney tissue of grass carp. It can also significantly reduce the mortality and the surface symptoms of grass carp that was infected by two pathogens through HE staining and protection experiments.Conclusion: This is the first report that after ARTP-NTG compound mutagenesis, a high-yielding strain of macrolactin A and oxydifficidin were increased by 2.01 times and 3.68 times compared with the original strain, respectively, which laid the foundation for elucidating its biological regulation, they had antibacterial effects on Aeromonas hydrophila and Aeromonas veronii. We combined re-sequencing to find the mutation sites of gene clusters and. The probiotic strain N-11 can quickly activate the immune protection mechanism of grass carp to resist pathogenic bacteria.
Immobilization of Thermoalkalophilic Esterase Onto Magnetic-Cornstarch Nanoparticle
Authors: Öz Yasin , Sürmeli Yusuf , Sanli-Mohamed Gulsah 
Published: February 2021

Abstract
The immobilization of the biocatalysts onto magnetic nanoparticles (MNPs) has been extensively applied since the external magnetic field facilitates the enzyme recovery from the reaction mixture. In the present study, glutaraldehyde-modified magnetite-cornstarch nanoparticles (MCNs) were successfully synthesized, elaborately characterized by ZetaSizer and surface-enhanced raman spectroscopy (SERS), and used for the immobilization of a thermoalkalophilic esterase from Geobacillus sp. The optimal immobilization conditions were obtained at 65oC, 2:3 molar ratios of Fe2+:Fe3+ and 1 g cornstarch resulted in approximately 90 nm magnetic particles in size. Also, immobilization yield and entrapment efficiency of the esterase were found as 74% and 82%, respectively. Scanning Electron Microscopy (SEM) micrographs showed that MCNs were uniform, spherical in shape, and well dispersed and esterase immobilized MCNs displayed similar morphology as free MCNs. The maximum activity of free and immobilized esterase was obtained at 80oC and pH 9. Immobilization onto glutaraldehyde-modified MCNs significantly enhanced the esterase thermostability. Additionally, the immobilized esterase kept its residual activity of 75% after three sequential cycles, suggesting that it has favorable operational stability.