Inferensi Jurnal Penelitian Sosial Keagamaan最新文献

{"title":"Dampak Perubahan Perilaku Mahasiswa dalam Pembelajaran Daring","authors":"Ega Riski Suci Cahyani, Khusnul Khotimah, Risca Agustin, Ardina Eka Nawang Sari, Alfisyahrina Hapsery","doi":"10.12962/j27213862.v4i2.10896","DOIUrl":"https://doi.org/10.12962/j27213862.v4i2.10896","url":null,"abstract":"⎯ Kebijakan system pembelajaran daring dalam Rangka Pencegahan Penyebaran COVID-19 menuntut mahasiswa untuk segera beradaptasi dengan berbagai macam bantuan teknologi yang telah berkembang cukup pesat di era saat ini. Interaksi mahasiswa dan dosen menjadi berkurang, begitu juga antar mahasiswa yang semakin susah untuk saling berdiskusi. Interaksi dan perilaku sosial yang efektif akan memberikan dampak terhadap proses pembelajaran yang efektif pula. Sehingga untuk mengetahui pengaruh perubahan perilaku sosial mahasiswa terhadap efektifitas pembelajaran di tengah pandemi, perlu dilakukan kajian guna menciptakan sistem pembelajaran yang lebih efektif, nyaman, dan efisien. Salah satu metode yang dapat digunakan untuk mengetahui pengaruh tersebut yaitu dengan analisis regresi logistik biner. Analisis regresi logistik biner merupakan salah satu metode yang dapat menggambarkan hubungan antara variabel respon (berskala biner yaitu mempunyai dua kategori) dan variabel independennya. Hasil penelitian diperoleh bahwa 85% dari mahasiswa yang dijadikan sebagai sampel penelitian merasa bahwa pembelajaran daring sudah efektif pelaksanaannya. Diperoleh variabel yang berpengaruh signifikan terhadap efektifitas pembelajaran adalah variabel Interaksi dengan Mahasiswa dan variabel Perilaku Belajar. Hasil penelitian menunjukkan bahwa mahasiswa akan berpeluang mengalami pembelajaran yang efektif sebesar 99,98% apabila mengalami perubahan positif terhadap interaksi antar mahasiswa dan perubahan positif terhadap perilaku belajarnya selama pembelajaran daring.","PeriodicalId":31274,"journal":{"name":"Inferensi Jurnal Penelitian Sosial Keagamaan","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90599525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Productive Waqf, Economic Empowerment, and Public Welfare: Evidence from Benefit Recipients at Daarut Tauhiid Waqf Institution","authors":"Wildan Munawar, M. A. Mufraini","doi":"10.18326/INFSL3.V15I1.1-24","DOIUrl":"https://doi.org/10.18326/INFSL3.V15I1.1-24","url":null,"abstract":"This study aimed to determine the effect of productive waqf management on public welfare with economic empowerment as an intervening variable. The research method used quantitative research, and the data collection used a closed-ended questionnaire. The sampling was selected based on the purposive sampling technique by determining certain criteria and objectives. The data analysis technique used Partial Least Square (PLS) with the PLS 3 smart application. The results of this study concluded that productive waqf management had a positive and significant effect on public welfare with economic empowerment as an intervening variable. The better the management of productive waqf carried out by the waqf institution, the more indirectly it would improve the public welfare with good economic empowerment. The good of productive waqf management can be used as a benchmark for waqf institutions in managing waqf. This was because past experience and history have proven that well-managed waqf improved public welfare through economic empowerment carried out consistently. However, not only through the cultivation of worship and Islamic character but also supported by skills and training in business improvement, mentoring, and monitoring of business operations, as well as providing business and marketing capital.","PeriodicalId":31274,"journal":{"name":"Inferensi Jurnal Penelitian Sosial Keagamaan","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78773450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Algoritma ClusterMix K-Prototypes Untuk Menangkap Karakteristik Pasien Berdasarkan Variabel Penciri Mortalitas Pasien Dengan Gagal Jantung","authors":"Raditya Novidianto, Kartika Fithriasari","doi":"10.12962/J27213862.V4I1.8479","DOIUrl":"https://doi.org/10.12962/J27213862.V4I1.8479","url":null,"abstract":"ABSTRAK ⎯ Cardiovascular Disease (CVD) atau penyakit kardiovaskular adalah salah satu penyebab utama kematian cukup besar di seluruh dunia yang berujung pada kejadian gagal jantung. Organiasasi kesehatan WHO menyebutkan jumlah orang yang meninggal karena penyakit kardiovaskuler akibat gagal jantung setiap tahun memiliki rata-rata 17,9 juta kematian setiap tahunnya, yaitu sekitar 31 persen dari total kematian secara global. Pendeteksian faktor mortalitas pasien gagal jantung perlu dibentuk segmentasi yang berguna untuk memperkecil peluang terjadinya kematian akibat gagal jantung. Salah satunya dengan menggunakan variabel penciri mortalitas akibat gagal jantung dengan cara menerapkan algoritma k-prototypes. Hasil penggerombolan terbentuk 2 kluster yang dianggap optimal berdasarkan nilai koefisien silhouette tertinggi yaitu sebesar 0.5777. Hasil penelitian dilakukan segementasi pasien dengan variabel penciri mortalitas pasien gagal jantung yang menunjukan bahwa kluster 1 merupakan gerombol pasien yang memiliki resiko rendah terhadap peluang mortalitas akibat gagal jantung dan kluster 2 merupakan gerombol pasien dengan karaktistik pasien dengan resiko yang tinggi terhadap peluang mortalitas akibat gagal jantung. Segementasi tersebut didasari dari nilai rata-rata setiap variabel penciri dari faktor mortalitas gagal jantung pada setiap kluster yang dibandingkan dengan kondisi normal pada variabel serum creatine, ejection fraction, usia, serum sodium, tekanan darah, anemia, creatinine phosphokinase, plateles, merokok, jenis kelamin dan diabetes.","PeriodicalId":31274,"journal":{"name":"Inferensi Jurnal Penelitian Sosial Keagamaan","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82553948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pemodelan Regresi Nonparametrik Spline Truncated pada Data Longitudinal","authors":"Andrea Tri, R. Dani, Ludia Ni’matuzzahroh, Vita Ratnasari, Nyoman Budiantara","doi":"10.12962/J27213862.V4I1.8737","DOIUrl":"https://doi.org/10.12962/J27213862.V4I1.8737","url":null,"abstract":"regresi nonparametrik data perilakunya sub-sub interval analisis regresi, data seringkali digunakan adalah data cross-section , adalah analisis regresi diterapkan pada data longitudinal, dengan menggunakan pendekatan regresi nonparametrik. Data longitudinal merupakan gabungan antara data cross-section dan time series . Penelitian ini bertujuan untuk memodelkan data persentase penduduk miskin di Provinsi Papua Tahun 2016 hingga Tahun 2019 menggunakan model regresi nonparametrik","PeriodicalId":31274,"journal":{"name":"Inferensi Jurnal Penelitian Sosial Keagamaan","volume":"90 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79189706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pemodelan Faktor-faktor yang Mempengaruhi Angka Kematian Ibu di Jawa Timur Menggunakan Geographically Weighted Regression","authors":"Ilalang Akar Pertiwi, Nurul Kholisatin, Naziehah Taibatunniswah, Achmad Choiruddin, Sutikno Sutikno","doi":"10.12962/J27213862.V4I1.8930","DOIUrl":"https://doi.org/10.12962/J27213862.V4I1.8930","url":null,"abstract":"⎯ Angka Kematian Ibu (AKI) merupakan jumlah kematian ibu di setiap 100 kelahiran bayi hidup. Kematian ibu menjadi salah satu indikator dalam menggambarkan kesejahteraan masyarakat di suatu negara. Kematian ibu juga menjadi salah satu parameter terkait derajat kesehatan perempuan. Jumlah kematian ibu dihitung dari kematian selama masa kehamilan, persalinan, dan nifas atau pengelolaannya, bukan dihitung dari sebab-sebab lainnya seperti kecelakaan atau jatuh. Banyak faktor yang dapat menyebabkan kematian ibu diantaranya, kunjungan ibu hamil antenatal, riwayat komplikasi, kekurangan darah, persalinan di fasilitas pelayanan kesehatan, tenaga kesehatann terlatih, dan lain-lain. Dalam analisis ini akan dilakukan pemodelan statistika untuk mengetahui faktor-faktor penyebab","PeriodicalId":31274,"journal":{"name":"Inferensi Jurnal Penelitian Sosial Keagamaan","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81328575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intervention Analysis and Machine Learning to Evaluate the Impact of COVID-19 on Stock Prices","authors":"H. Prabowo, Iman Rais Afandy","doi":"10.12962/J27213862.V4I1.8626","DOIUrl":"https://doi.org/10.12962/J27213862.V4I1.8626","url":null,"abstract":"⎯ The purpose of this study is to evaluate the impact of the COVID-19 outbreak on composite and individual stock prices in China, the USA, South Korea, and Indonesia by using an intervention model and comparing the results of its predictions with a machine learning model, i.e. neural network (NN) and deep learning neural network (DLNN). This intervention model can be used not only to find out the magnitude of the effect of COVID-19 on the stock price, but also the period of the effect. The composite stock price data used are KS11, 000001.SS, DJI, and JKSE, while the individual stock price data used are TLKM and EXCL. The data used is the daily stock data. The analysis shows that COVID-19 hurts stock prices both in countries that have passed the peak period and are still in the peak period of COVID-19. The impact is not directly after the first case of COVID-19 in each country. The lowest stock price occurred at the end of March 2020 in each country. Different conditions were shown by individual stock prices in the telecommunications sector that showed a positive trend after the end of April 2020. Generally, for all stock prices, intervention models are better for forecasting in-sample data and explanation impact COVID-19 on stock price, whereas machine learning models are better for forecasting out-of-sample data. Keywords⎯ COVID-19, Intervention, Machine Learning, Stock Price.","PeriodicalId":31274,"journal":{"name":"Inferensi Jurnal Penelitian Sosial Keagamaan","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85239287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"VARIABLES DETERMINING MUZAKI LOYALTY IN PAYING ZAKAT, INFAQ AND SHODAQOH AT ZAKAT INSTITUTIONS IN INDONESIA","authors":"A. Roziq, E. Suryaningsih, Nur Hisyamuddin","doi":"10.18326/infsl3.v14i2.249-266","DOIUrl":"https://doi.org/10.18326/infsl3.v14i2.249-266","url":null,"abstract":"This study aims to find out, test and analyze: (a) the effect of transparencyon muzaki beliefs; (b) the effect of transparency on muzaki loyalty; (c) theeffect of accountability on muzaki’s trust; (d) the effect of accountabilityon muzaki loyalty; (e) the effect of trust on muzaki loyalty in paying zakat,infaq, and almsgiving at the Amil Zakat Institution in Indonesia. This type ofresearch is explanatory research and using survey method. Data collectiontechnique used was questionnaire containing written questions answeredby respondents, namely muzaki (payer of zakat, infaq and sadaqah) at amilzakat institutions. The sampling technique used was purposive sampling,which set the samples based on criteria. The data analysis technique inthis study used the Partial Least Square (PLS) approach. PLS is a modelof Structural Equation Modeling (SEM) based on components or variants.The results of the study found that (a) accountability has a significantpositive effect on muzaki’s trust; (b) transparency has a significant positiveeffect on muzaki’s trust; (c) accountability has a significant positive effecton muzaki loyalty; (d) transparency has a significant positive effect onmuzaki loyalty; (e) trust has a significant positive effect on muzaki loyaltyin paying zakat, infaq, and almsgiving at the Amil Zakat Institutionin Indonesia. The results of this study suggest that zakat managementorganizations increase the loyalty of donors in paying zakat by increasingdonor’s trust by improving transparency and accountability of auditedfinancial reports and in accordance with PSAK 109.","PeriodicalId":31274,"journal":{"name":"Inferensi Jurnal Penelitian Sosial Keagamaan","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74881268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pemodelan Harga Cryptocurrency Menggunakan Markov Switching Autoregressive","authors":"Akhmad Ridho Ashariansyah, Nur Iriawan, Adatul Mukarromah","doi":"10.12962/j27213862.v3i2.7726","DOIUrl":"https://doi.org/10.12962/j27213862.v3i2.7726","url":null,"abstract":"Perdagangan merupakan sebuah kegiatan tukar menukar barang atau jasa yang dilakukan manusia untuk memenuhi kebutuhan hidup. Perkembangan sistem pembayaran yang dilakukan umat manusia dimulai dari sistem pertukaran barang atau barter, logam mulia seperti emas dan perak, koin, uang kartal, uang giral, dan uang elektronik (e-money). Selain itu, muncul cryptocurrency yaitu mata uang digital dengan sistem kriptografi dalam setiap proses transaksi datanya tanpa melalui pihak ketiga. Namun cryptocurrency memiliki kelemahan perubahan harga yang sangat besar dalam waktu yang sangat cepat. Pergerakan harga yang berfluktuasi sangat tinggi tersebut menyebabkan kekhawatiran pemilik aset kripto mengalami kerugian, maka pemodelan harga cryptocurrency sangat penting untuk dilakukan agar meminimalisir risiko kerugi-an. Berdasarkan pola pergerakan harga yang berfluktuasi sangat tinggi yang berbeda tiap periodenya maka dilakukanlah pemodelan harga cryptocurrency mengguna-kan Markov Switching Autoregressive (MSAR) dengan algoritma Expectation Maximization. Selain meminimkan risiko kerugian, penelitian ini juga ingin mengetahui model MSAR mana yang mampu mengklasifikasikan state dengan baik. Data yang digunakan yaitu harga harian cryptocurrency dengan nilai kapitalisasi pasar terbesar dari September 2015 hingga Januari 2020. Hasil penelitian menunjukkan bahwa bitcoin dan ripple menggunakan model MS(8)AR(1), sedangkan ethereum menggunakan model MS(9)AR(1). Selain itu model MS(8)AR(1) pada data ripple menjadi model dengan nilai akurasi tertinggi dibandingkan model lainnya dalam hal klasifikasi state.","PeriodicalId":31274,"journal":{"name":"Inferensi Jurnal Penelitian Sosial Keagamaan","volume":"130 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79611508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Regresi Cox Proportional Hazard Untuk Analisis Survival Pasien Kanker Otak di C-Tech Labs Edwar Technology Tangerang","authors":"S. W. Purnami, I. N. Pertiwi","doi":"10.12962/j27213862.v3i2.7727","DOIUrl":"https://doi.org/10.12962/j27213862.v3i2.7727","url":null,"abstract":"Kanker otak adalah pertumbuhan sel-sel otak yang tidak terkendali yang terjadi di otak. Di Indonesia kanker otak merupakan salah satu kanker terbanyak pada anak. Meskipun demikian, tumor ini dapat terjadi pada umur berapapun. Risiko kanker otak meningkat seiring dengan bertambahnya usia. Berbagai treatment dilakukan sebagai usaha untuk memperpanjang ketahanan hidup pasien kanker otak, seperti operasi, kemoterapi, radioterapi, pengobatan herbal, dan ECCT. ECCT merupakan metode untuk mengobati kanker menggunakan sumber gelombang elektrostatis intensitas rendah (<30Vpp) dan frekuensi rendah (<100KHz) yang dipasang pada pakaian yang dipakai setiap hari oleh pasien. Pasien disarankan melakukan konsultasi untuk memeriksa kinerja alat dan perkembangan penyebaran sel kanker. Penelitian ini bertujuan untuk mendapatkan faktor yang mempengaruhi model survival pasien kanker otak berdasarkan faktor treatment dan faktor resiko seperti usia dan jenis kelamin. Model regresi Cox PH digunakan karena semua variabel telah memenuhi asumsi PH. Data yang digunakan yaitu pasien yang melakukan konsultasi lebih dari 6 bulan. Berdasarkan pemodelan dengan menggunakan regresi Cox PH menghasilkan variabel yang berpengaruh terhadap waktu survival pasien kanker otak yaitu frekuensi konsultasi dan radioterapi. Didapatkan bahwa setiap bertambahnya 1 kali konsultasi resiko untuk mengalami kematian semakin turun sebesar 1,15 kali dan pasien kanker otak yang memiliki riwayat radioterapi memiliki resiko untuk meninggal 3 kali lebih besar daripada pasien yang tidak memiliki riwayat. \u0000================================================================================================================== \u0000Brain cancer is an uncontrolled growth of brain cells in the brain. In Indonesia brain cancer is one of the most cancers in children. However, this tumor can occur at any age. The risk of brain cancer increases with age. Various treatments were carried out as an effort to extend the survival of brain cancer patients, such as surgery, chemotherapy, radiotherapy, herbal treatments, and ECCT. ECCT is a method for treating cancer using a source of low-intensity (<30Vpp) and low-frequency (<100KHz) electrostatic waves that is attached to clothing worn every day by patients. Patients were advised to consult to check the performance of the tool and the development of the spread of cancer cells. This study goals are to obtain factors that influence the survival model of brain cancer patients based on treatment factors and risk factors such as age and gender. The Cox PH regression model was used because all the variables had fulfilled the PH assumptions. The data used are patients who have been consulting for more than 6 months. Based on modeling using Cox PH regression produces variables that affect the survival time of brain cancer patients, namely frequency of consultation and radiotherapy. It was found that each increase of 1 consultation time the risk of death decreased by 1.15 times and brain c","PeriodicalId":31274,"journal":{"name":"Inferensi Jurnal Penelitian Sosial Keagamaan","volume":"226 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86008445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pengembangan Instrumen Penilaian Model Two-Tier Multiple Choice Question (TTMCQ) pada Materi Pancadharma","authors":"M. Singamurti","doi":"10.18326/infsl3.v14i1.97-120","DOIUrl":"https://doi.org/10.18326/infsl3.v14i1.97-120","url":null,"abstract":"This study aimed to develop a Two Tier Multiple Choice Question Assessment instrument that is suitable for use in Pancadharma material and to find out the teachers and students’ responses to the instrument developed. This study was conducted using the RD method applying the steps from Borg and Gall. The locations of the study were at the State Junior High Schools 1 and 2 Keling in Jepara Regency. Data collection used questionnaires, test, interviews and documentation. The results of this study exhibited that the TTMCQ assessment instrument developed for the Pancadharma material had 92.22% of content validation; the reliability scores were 0.754 for first tier and 0.826 for two tier; the power of distinguishing questions was categorized into a good category with the percentage of 66.67% for the main questions, and 46.66% for the reason questions. The difficulty level test indicated that 40% of the multiple choice questions were easy and 53.33% of them were medium, and 60% of the reason questions were easy, and 33.33% of them were medium. The teachers and students’ responses to the TTMCQ instrument developed in the form of multiple-choice multiple-level questions were more complicated than those of regular multiple-choice questions; the form of the questions was good and neatly organized; and the form of the questions was more about children’s responsibility in terms of thinking and solving problems. Thus, the TTMCQ instrument that had been developed was included in the appropriate category to be used as an assessment instrument of the Pancadharma material.","PeriodicalId":31274,"journal":{"name":"Inferensi Jurnal Penelitian Sosial Keagamaan","volume":"148 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79362016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}