id,title,description,date_created,date_modified,date_published,original_publication_date,publication_doi,provider,is_published,reviews_state,version,is_latest_version,preprint_doi,license,tags_list,tags_data,contributors_list,contributors_data,first_author,subjects_list,subjects_data,download_url,has_coi,conflict_of_interest_statement,has_data_links,has_prereg_links,prereg_links,prereg_link_info,last_updated
9wh5c_v1,Development of Nipa (Nypa fruticans) Sap Closed Collection Vessel,"The ultimate goal of the present study was to develop a secure, safe, and hygienic nipa sap collection system for bioethanol production, with the aim of preserving its physico-chemical properties such as physical appearance, pH and sugar brix by reducing the rate of fermentation while attached to the peduncle. The developed collection system was evaluated  in terms of the  physical  and chemical  properties of  nipa  sap  collected  and  ethanol yield in comparison to the traditional and existing collection system used by the nipa community which utilizes bamboo shingle as their collector. Physical appearance of the sap collected using the designed collection system had no foreign materials after harvesting while the traditional collection system had shown traces of insect infestation. The sap that was produced for both of the designed  and  traditional  collection  system  was  milky-white and yellowish-white in color respectively. There was a significant difference in terms of pH concentration of the sap collected using the designed collection system compared to the sap collected using the traditional system overtime. Sugar brix of nipa sap collected using designed collection system is significantly higher than the sap collected using traditional  system. A total ethanol yield of 32.25%  and 75.54%  was  obtained  for  the  designed  and traditional collection system respectively. Cost Analysis revealed that the designed collection system was found to be cheaper (PhP 11.93) than the traditional collection system (PhP. 20.00). The developed closed collection system can preserved the chemical properties of the nipa sap and could prevent acceleration of fermentation and the deterioration of its potential to yield more ethanol.",2020-12-31T07:49:11.945315,2021-01-02T02:30:42.126527,2021-01-02T02:30:21.835197,2020-12-06T17:00:00,https://doi.org/10.37637/ab.v3i2.611,frenxiv,1,accepted,1,1,https://doi.org/10.31226/osf.io/9wh5c,No license,bamboo shingle; bioethanol; designed collection system; nipa sap,"[""bamboo shingle"", ""bioethanol"", ""designed collection system"", ""nipa sap""]",James Paul T. Madigal; Bethany Grace S. Calixto; Michael Duldulao; Thomas D. Ubiña; Shirley C. Agrupis,"[{""id"": ""36fxn"", ""name"": ""James Paul T. Madigal"", ""index"": 0, ""orcid"": null, ""bibliographic"": true}, {""id"": ""cet8m"", ""name"": ""Bethany Grace S. Calixto"", ""index"": 1, ""orcid"": null, ""bibliographic"": true}, {""id"": ""uc7vf"", ""name"": ""Michael Duldulao"", ""index"": 2, ""orcid"": null, ""bibliographic"": true}, {""id"": ""ebfr6"", ""name"": ""Thomas D. Ubin\u0303a"", ""index"": 3, ""orcid"": null, ""bibliographic"": true}, {""id"": ""xz9nb"", ""name"": ""Shirley C. Agrupis"", ""index"": 4, ""orcid"": null, ""bibliographic"": true}, {""id"": ""h7m8t"", ""name"": null, ""index"": 5, ""orcid"": null, ""bibliographic"": false}]",James Paul T. Madigal,Engineering; Chemical Engineering,"[{""id"": ""5a57dc2b076808000d8157e9"", ""text"": ""Engineering""}, {""id"": ""5a57dc2c076808000d815814"", ""text"": ""Chemical Engineering""}]",https://osf.io/download/5fed827de9ccb90323af6e1e,0,,no,no,[],,2025-04-09T20:03:42.350926
yq4dt_v1,"EXCEPTIONAL GROUND MOTION DURING THE SHALLOW Mw 4.9 2019 LE TEIL EARTHQUAKE, FRANCE","On November 11, 2019, an unusually damaging Mw4.9 earthquake occurred in the south east of France within the lower Rhône river valley, an industrial region hosting several operating nuclear power plants. This event is exceptional considering its very shallow depth (<1 km). Based on farfield seismological observations, we demonstrate that the rupture properties are consistent with the ones commonly observed for large deeper earthquakes, implying that the near-surface faulting generated strong high-frequency seismic waves. In the absence of strong motion sensors in the fault vicinity, we perform numerical predictions of the ground acceleration on a virtual array of near-fault stations, that matches with the locations of independent quantitative estimations from in-situ observations of displaced objects (natural and anthropic). Both numerical and in-situ analyses converge toward an exceptional level of ground acceleration in the fault vicinity, exceeding gravity, and at the origin of the damage. This dramatically changes the perception of the impacts of superficial moderate earthquakes on seismic hazard assessment.",2020-11-30T15:57:22.156264,2021-01-02T15:47:15.467180,2020-12-02T11:18:07.086645,2020-11-29T23:00:00,,frenxiv,1,accepted,1,1,https://doi.org/10.31226/osf.io/yq4dt,CC-By Attribution 4.0 International,Le Teil earthquake; Rhône valley; ground motion; seismic rupture,"[""Le Teil earthquake"", ""Rh\u00f4ne valley"", ""ground motion"", ""seismic rupture""]",Mathieu Causse; Cécile Cornou; Emeline Maufroy; jean-robert grasso; Laurent Baillet; Elias el Haber,"[{""id"": ""jyabp"", ""name"": ""Mathieu Causse"", ""index"": 0, ""orcid"": ""0000-0003-2865-1190"", ""bibliographic"": true}, {""id"": ""2azpd"", ""name"": ""C\u00e9cile Cornou"", ""index"": 1, ""orcid"": ""0000-0003-4301-2979"", ""bibliographic"": true}, {""id"": ""jm483"", ""name"": ""Emeline Maufroy"", ""index"": 2, ""orcid"": null, ""bibliographic"": true}, {""id"": ""fpqgh"", ""name"": ""jean-robert grasso"", ""index"": 3, ""orcid"": ""0000-0002-9580-7864"", ""bibliographic"": true}, {""id"": ""e9gra"", ""name"": ""Laurent Baillet"", ""index"": 4, ""orcid"": null, ""bibliographic"": true}, {""id"": ""mk3f5"", ""name"": ""Elias el Haber"", ""index"": 5, ""orcid"": null, ""bibliographic"": true}]",Mathieu Causse,Physical Sciences and Mathematics; Earth Sciences; Geophysics and Seismology,"[{""id"": ""5a57dc25076808000d81574c"", ""text"": ""Physical Sciences and Mathematics""}, {""id"": ""5a57dc2e076808000d815888"", ""text"": ""Earth Sciences""}, {""id"": ""5a57dc31076808000d8158ff"", ""text"": ""Geophysics and Seismology""}]",https://osf.io/download/5fc51674ab651803e0b136a7,0,,available,not_applicable,[],,2025-04-09T20:03:53.804899
f65zx_v1,Evaluasi Daya Tarik Wisata Kebun Raya Cibodas Dalam Sudut Pandang Kualitas Visual,"This research was motivated by the diversity of natural and artificial resources in Cibodas Botanical Garden which has a visual quality of landscape beauty that becomes a tourist attraction. This study aims to determine the value of visual quality of tourist attractions in  Cibodas Botanical Garden. The method used was a quantitative descriptive approach. Data obtained from observation and literature study and distributing questionnaires to respondents using a sample of 100 people using the Scenic Beauty Estimation (SBE) method. The assessment was carried out on thirteen tourist attractions of Cibodas Botanical Garden which consisted of Decorative Garden Galleries, Sakura Gardens, Cibogo Waterfall, Ciismun Waterfall, Lumut and Amorphophalus Gardens, Greenhouses, Paku-pakuan Collection, Guest House, Rhododendron Garden, Medicinal Plants Collection, Liana Garden, Large Pond and Semar Pocket House. The total visual assessed was 26 landscapes. Based on the assessment obtained, it shows the tourist attraction landscape that gets the highest visual quality (SBE) value, namely Landscape 12 with a value of 100.53, which is included in the classification of ""high visual quality"" from the landscape of the Cibodas Botanical Garden Large Pool. A total of 22 landscapes categorized as high visual quality and 4 landscapes categorized as moderate visual quality. No landscape categorized as low visual quality. Thus, the Cibodas Botanical Garden Landscape has great strength in supporting its function as a conservation tourism object in Indonesia but it still needs some landscape arrangement in some spots.",2020-11-12T05:18:11.031956,2020-11-23T05:09:41.721988,2020-11-23T05:09:18.724545,2020-03-29T17:00:00,https://doi.org/10.29244/jli.12.1.2020.33-40,frenxiv,1,accepted,1,1,https://doi.org/10.31226/osf.io/f65zx,No license,Cibodas Botanical Garden; scenic beauty estimation; tourist attractions; visual quality,"[""Cibodas Botanical Garden"", ""scenic beauty estimation"", ""tourist attractions"", ""visual quality""]",Santi Desiana Yulianti; Hanni Adriani; Ray March Syahadat,"[{""id"": ""z2pjf"", ""name"": ""Santi Desiana Yulianti"", ""index"": 0, ""orcid"": null, ""bibliographic"": true}, {""id"": ""n97h4"", ""name"": ""Hanni Adriani"", ""index"": 1, ""orcid"": null, ""bibliographic"": true}, {""id"": ""x8hf6"", ""name"": ""Ray March Syahadat"", ""index"": 2, ""orcid"": null, ""bibliographic"": true}, {""id"": ""h7m8t"", ""name"": null, ""index"": 3, ""orcid"": null, ""bibliographic"": false}]",Santi Desiana Yulianti,Architecture; Landscape Architecture,"[{""id"": ""5a57dc24076808000d815744"", ""text"": ""Architecture""}, {""id"": ""5a57dc27076808000d81576e"", ""text"": ""Landscape Architecture""}]",https://osf.io/download/5facc597b07c30005c0d8c89,0,,no,no,[],,2025-04-09T20:04:14.586938
f64ws_v1,Evaluasi Fungsi Ekologis dan Estetika Beberapa Ruang Terbuka Hijau Publik di Kota Tasikmalaya,"Ruang terbuka hijau (RTH) sebagai ameliorasi iklim penting keberadaannya dalam suatu kota terutama kota yang saat ini mengalami peningkatan penduduk yang signifikan seperti Kota Tasikmalaya. Peningkatan penduduk dapat menyebabkan turunnya kualitas lingkungan. Keberadaan RTH publik sangat penting untuk memberikan kawasan rekreasi yang nyaman namun tiga RTH publik yang menjadi pusat rekreasi masyarakat Kota Tasikmalaya belum memberikan kenyamanan thermal dan estetika yang optimal menurut sebagian masyarakat. Tujuan penelitian yaitu mengidentifikasi jenis dan fungsi tanaman, mengevaluasi fungsi ekologis dan estetika RTH, dan menyusun rekomendasi perbaikan penataan tanaman untuk RTH. Penelitian ini dilakukan di tiga RTH, di antaranya Alun-alun, Taman Kota, dan Kompleks Olahraga Wiradadaha Tasikmalaya. Metode penelitian yang dilakukan yaitu inventarisasi, analisis data inventarisasi dengan Key Performance Index (KPI); Thermal Humidity Index(THI); Scenic Beauty Estimation (SBE); deskriptif, serta menyusun rekomendasi perbaikan penataan tanaman. Hasil penelitian menunjukkan Kompleks Olahraga Wiradadaha memiliki jenis dan jumlah tanaman terbanyak. Kompleks Olahraga Wiradadaha menjadi RTH terbaik dalam fungsi modifikasi suhu, kontrol kelembaban, dan peredam kebisingan sementara Taman Kota menjadi RTH terbaik dalam penahan angin dibandingkan dengan dua RTH lainnya. Ketiga RTH telah terkualifikasi sebagai area nyaman berdasarkan standar kenyamanan THI dan baku mutu tingkat kebisingan kawasan rekreasi. Ketiga RTH mampu menurunkan suhu rata-rata sebesar 1.4 ˚C, meningkatkan kelembaban rata-rata sebesar 8%, serta  meredam kebisingan rata-rata sebesar 4.4 dB. Taman Kota merupakan RTH dengan kualitas estetika lanskap terbaik dan Kompleks Olahraga Wiradadaha merupakan RTH dengan kualitas estetika lanskap terburuk. Pengunjung cukup puas dengan kondisi RTH saat ini tapi akan lebih baik bila ditambahkan tanaman peneduh khususnya untuk Alun-alun dan Taman Kota, penambahan tanaman estetika,  dan fasilitas yang memadai. Alun-alun dan Taman Kota  membutuhkan lebih banyak tanaman peneduh. Ketiga RTH perlu penambahan tanaman estetika untuk meningkatkan estetika lanskap. Ketiga RTH juga perlu penataan komposisi dan tata letak elemen lanskap yang lebih baik.",2020-11-12T05:02:55.724993,2020-11-23T05:11:20.867081,2020-11-23T05:10:58.276392,2018-10-23T17:00:00,,frenxiv,1,accepted,1,1,https://doi.org/10.31226/osf.io/f64ws,No license,evaluasi; fungsi ekologi; fungsi estetika; ruang terbuka hijau,"[""evaluasi"", ""fungsi ekologi"", ""fungsi estetika"", ""ruang terbuka hijau""]",Intan Nur Fathonah,"[{""id"": ""b4pf6"", ""name"": ""Intan Nur Fathonah"", ""index"": 0, ""orcid"": null, ""bibliographic"": true}, {""id"": ""h7m8t"", ""name"": null, ""index"": 1, ""orcid"": null, ""bibliographic"": false}]",Intan Nur Fathonah,Architecture; Landscape Architecture,"[{""id"": ""5a57dc24076808000d815744"", ""text"": ""Architecture""}, {""id"": ""5a57dc27076808000d81576e"", ""text"": ""Landscape Architecture""}]",https://osf.io/download/5facc21080ff8e00658d9ea9,0,,no,no,[],,2025-04-09T20:04:15.721015
tjp48_v1,Coronavirus Disease (COVID-19) Global Prediction Using Hybrid Artificial Intelligence Method of ANN Trained with Grey Wolf Optimizer,"An accurate outbreak prediction of COVID-19 can successfully help to get insight into the spread and consequences of infectious diseases. Recently, machine learning (ML) based prediction models have been successfully employed for the prediction of the disease outbreak. The present study aimed to engage an artificial neural network-integrated by grey wolf optimizer for COVID-19 outbreak predictions by employing the Global dataset. Training and testing processes have been performed by time-series data related to January 22 to September 15, 2020 and validation has been performed by time-series data related to September 16 to October 15, 2020. Results have been evaluated by employing mean absolute percentage error (MAPE) and correlation coefficient (r) values. ANN-GWO provided a MAPE of 6.23, 13.15 and 11.4% for training, testing and validating phases, respectively. According to the results, the developed model could successfully cope with the prediction task.",2020-10-22T19:18:26.858318,2020-10-23T20:38:44.852125,2020-10-23T20:38:14.752090,,,frenxiv,1,accepted,1,1,https://doi.org/10.31226/osf.io/tjp48,GNU Lesser General Public License (LGPL) 3.0,COVID-19; Grey wolf optimizer (GWO); Machine learning (ML); artificial neural network (ANN); outbreak prediction; time-series,"[""COVID-19"", ""Grey wolf optimizer (GWO)"", ""Machine learning (ML)"", ""artificial neural network (ANN)"", ""outbreak prediction"", ""time-series""]",Sina Faizollahzadeh Ardabili; Amir Mosavi; Shahab Band; Annamaria R. Varkonyi-Koczy,"[{""id"": ""vmtuw"", ""name"": ""Sina Faizollahzadeh Ardabili"", ""index"": 0, ""orcid"": null, ""bibliographic"": true}, {""id"": ""rx2k7"", ""name"": ""Amir Mosavi"", ""index"": 1, ""orcid"": ""0000-0003-4842-0613"", ""bibliographic"": true}, {""id"": ""f8v73"", ""name"": ""Shahab Band"", ""index"": 2, ""orcid"": null, ""bibliographic"": true}, {""id"": ""gyrpk"", ""name"": ""Annamaria R. Varkonyi-Koczy"", ""index"": 3, ""orcid"": null, ""bibliographic"": true}]",Sina Faizollahzadeh Ardabili,Medicine and Health Sciences; Engineering,"[{""id"": ""5a57dc25076808000d815753"", ""text"": ""Medicine and Health Sciences""}, {""id"": ""5a57dc2b076808000d8157e9"", ""text"": ""Engineering""}]",https://osf.io/download/5f91db0c29d10e00bba06d11,0,,no,no,[],,2025-04-09T20:04:05.642581
bhpx8_v1,ACE2: THE DOORWAY TO SARS-CoV-2,"The angiotensin-converting enzyme 2 (ACE2) is the host functional receptor for the new virus SARS-CoV-2 causing Coronavirus Disease 2019. ACE2 is expressed in 71 different cell types. Some factors that can affect the expression of the ACE2 are: sex, environment, lifestyles, comorbidities, medications (e.g. anti-hypertensives) and its interaction with other genes of the renin-angiotensin system and other pathways.  All of these factors can affect the risk of infection of SARS-CoV-2 and determine the severity of the symptoms. The ACE2 enzyme is a negative regulator of RAS expressed in various organ systems. It has been seen to be associated with immunity, inflammation, increased coagulopathy, and cardiovascular disease. In this review, we describe the genetic and molecular functions of the ACE2 receptor and its relation with the physiological and pathological conditions to better understand how this receptor is involved in the pathogenesis of COVID-19.",2020-10-21T15:48:11.689702,2020-10-22T02:04:39.873976,2020-10-22T01:02:44.337747,,,frenxiv,1,accepted,1,1,https://doi.org/10.31226/osf.io/bhpx8,CC-By Attribution 4.0 International,ACE2; COVID-19; Coronavirus; SARS-CoV-2,"[""ACE2"", ""COVID-19"", ""Coronavirus"", ""SARS-CoV-2""]",Miriam Marlene Medina-Enríquez; José Alberto Carlos-Escalante; Zuleika Aponte-Torres; Angelica  Cuapio; Sandra Lopez-Leon; Talia Wegman-Ostrosky,"[{""id"": ""jwmzh"", ""name"": ""Miriam Marlene Medina-Enr\u00edquez"", ""index"": 0, ""orcid"": ""0000-0001-9454-9114"", ""bibliographic"": true}, {""id"": ""f7amd"", ""name"": ""Jos\u00e9 Alberto Carlos-Escalante"", ""index"": 1, ""orcid"": null, ""bibliographic"": true}, {""id"": ""cys3r"", ""name"": ""Zuleika Aponte-Torres"", ""index"": 2, ""orcid"": null, ""bibliographic"": true}, {""id"": ""jytxu"", ""name"": ""Angelica  Cuapio"", ""index"": 3, ""orcid"": null, ""bibliographic"": true}, {""id"": ""9xcmw"", ""name"": ""Sandra Lopez-Leon"", ""index"": 4, ""orcid"": null, ""bibliographic"": true}, {""id"": ""dfuj8"", ""name"": ""Talia Wegman-Ostrosky"", ""index"": 5, ""orcid"": null, ""bibliographic"": true}]",Miriam Marlene Medina-Enríquez,Medicine and Health Sciences; Medical Sciences; Medical Cell Biology,"[{""id"": ""5a57dc25076808000d815753"", ""text"": ""Medicine and Health Sciences""}, {""id"": ""5a57dc2e076808000d81585e"", ""text"": ""Medical Sciences""}, {""id"": ""5a57dc3c076808000d815ae4"", ""text"": ""Medical Cell Biology""}]",https://osf.io/download/5f90584c73f0e100d8bbbae2,1,"SLL is employee of Novartis Pharmaceutical Company; the statements presented in the paper do not necessarily represent the position of the company.
The remaining authors have no competing interests to declare",not_applicable,not_applicable,[],,2025-04-09T20:03:38.969359
xustz_v1,Two deductions: (1) from the totality to quantum information conservation; (2) from the latter to dark matter and dark energy,"The paper discusses the origin of dark matter and dark energy from the concepts of time and the totality in the final analysis. Though both, and especially the latter, seem to be rather philosophical, nonetheless they are postulated axiomatically and interpreted physically, and the corresponding philosophical transcendentalism serves heuristically. The exposition of the article means to outline the “forest for the trees”, however, in an absolutely rigorous mathematical way, which to be explicated in detail in a future paper. The “two deductions” are two successive stage of a single conclusion mentioned above. The concept of “transcendental invariance” meaning ontologically and physically interpreting the mathematical equivalence of the axiom of choice and the well-ordering “theorem” is utilized again. Then, time arrow is a corollary from that transcendental invariance, and in turn, it implies quantum information conservation as the Noether correlate of the linear “increase of time” after time arrow. Quantum information conservation implies a few fundamental corollaries such as the “conservation of energy conservation” in quantum mechanics from reasons quite different from those in classical mechanics and physics as well as the “absence of hidden variables” (versus Einstein’s conjecture) in it. However, the paper is concentrated only into the inference of another corollary from quantum information conservation, namely, dark matter and dark energy being due to entanglement, and thus and in the final analysis, to the conservation of quantum information, however observed experimentally only on the “cognitive screen” of “Mach’s principle” in Einstein’s general relativity therefore excluding any other source of gravitational field than mass and gravity. Then, if quantum information by itself would generate a certain nonzero gravitational field, it will be depicted on the same screen as certain masses and energies distributed in space-time, and most presumably, observable as those dark energy and dark matter predominating in the universe as about 96% of its energy and matter quite unexpectedly for physics and the scientific worldview nowadays. Besides on the cognitive screen of general relativity, entanglement is available necessarily on still one “cognitive screen” (namely, that of quantum mechanics), being furthermore “flat”. Most probably, that projection is confinement, a mysterious and ad hoc added interaction along with the fundamental tree ones of the Standard model being even inconsistent to them conceptually, as far as it need differ the local space from the global space being definable only as a relation between them (similar to entanglement). So, entanglement is able to link the gravity of general relativity to the confinement of the Standard model as its projections of the “cognitive screens” of those two fundamental physical theories.",2020-10-16T06:43:00.266227,2020-10-20T10:15:14.410244,2020-10-20T10:14:42.277396,2020-10-15T21:00:00,,frenxiv,1,accepted,1,1,https://doi.org/10.31226/osf.io/xustz,CC-By Attribution 4.0 International,confinement; dark energy; dark matter; entanglement; general relativity; physical and mathematical transcendentalism; quantum information; the Standard model; transcendental invariance,"[""confinement"", ""dark energy"", ""dark matter"", ""entanglement"", ""general relativity"", ""physical and mathematical transcendentalism"", ""quantum information"", ""the Standard model"", ""transcendental invariance""]",Vasil Penchev,"[{""id"": ""n3qwu"", ""name"": ""Vasil Penchev"", ""index"": 0, ""orcid"": ""0000-0002-9684-8174"", ""bibliographic"": true}]",Vasil Penchev,Physical Sciences and Mathematics; Arts and Humanities; Physics; Philosophy; Quantum Physics; Metaphysics,"[{""id"": ""5a57dc25076808000d81574c"", ""text"": ""Physical Sciences and Mathematics""}, {""id"": ""5a57dc25076808000d815755"", ""text"": ""Arts and Humanities""}, {""id"": ""5a57dc28076808000d81578f"", ""text"": ""Physics""}, {""id"": ""5a57dc31076808000d8158e3"", ""text"": ""Philosophy""}, {""id"": ""5a57dc3a076808000d815a9c"", ""text"": ""Quantum Physics""}, {""id"": ""5a57dc3c076808000d815ae3"", ""text"": ""Metaphysics""}]",https://osf.io/download/5f8940f837b6bb01ef307d5b,0,,not_applicable,not_applicable,[],,2025-04-09T20:04:02.658568
e75gc_v1,Data science in economics: comprehensive review of advanced machine learning and deep learning methods,"This paper provides a state-of-the-art investigation of advances in data science in emerging economic applications. The analysis was performed on novel data science methods in four individual classes of deep learning models, hybrid deep learning models, hybrid machine learning, and ensemble models. Application domains include a wide and diverse range of economics research from the stock market, marketing, and e-commerce to corporate banking and cryptocurrency. Prisma method, a systematic literature review methodology, was used to ensure the quality of the survey. The findings reveal that the trends follow the advancement of hybrid models, which, based on the accuracy metric, outperform other learning algorithms. It is further expected that the trends will converge toward the advancements of sophisticated hybrid deep learning models.",2020-10-15T23:14:34.886362,2020-10-20T10:14:26.085592,2020-10-20T10:13:56.488325,,,frenxiv,1,accepted,1,1,https://doi.org/10.31226/osf.io/e75gc,CC-By Attribution 4.0 International,artificial intelligence; cryptocurrency; customer behavior; data science; deep learning; e-commerce; economics; ensemble machine learning models; forecasting; hybrid machine learning; machine learning; prediction; stock market; stock market price; stock market value; stock value,"[""artificial intelligence"", ""cryptocurrency"", ""customer behavior"", ""data science"", ""deep learning"", ""e-commerce"", ""economics"", ""ensemble machine learning models"", ""forecasting"", ""hybrid machine learning"", ""machine learning"", ""prediction"", ""stock market"", ""stock market price"", ""stock market value"", ""stock value""]",Saeed Nosratabadi; Amir Mosavi; Puhong Duan; Pedram Ghamisi; Ferdinand Filip; Shahab S. Band; Uwe Reuter; Joao Gama; Amir H. Gandomi,"[{""id"": ""8q6td"", ""name"": ""Saeed Nosratabadi"", ""index"": 0, ""orcid"": ""0000-0002-0440-6564"", ""bibliographic"": true}, {""id"": ""rx2k7"", ""name"": ""Amir Mosavi"", ""index"": 1, ""orcid"": ""0000-0003-4842-0613"", ""bibliographic"": true}, {""id"": ""prqma"", ""name"": ""Puhong Duan"", ""index"": 2, ""orcid"": null, ""bibliographic"": true}, {""id"": ""yjt52"", ""name"": ""Pedram Ghamisi"", ""index"": 3, ""orcid"": null, ""bibliographic"": true}, {""id"": ""ths3g"", ""name"": ""Ferdinand Filip"", ""index"": 4, ""orcid"": null, ""bibliographic"": true}, {""id"": ""yeds8"", ""name"": ""Shahab S. Band"", ""index"": 5, ""orcid"": null, ""bibliographic"": true}, {""id"": ""ca57e"", ""name"": ""Uwe Reuter"", ""index"": 6, ""orcid"": null, ""bibliographic"": true}, {""id"": ""pkas9"", ""name"": ""Joao Gama"", ""index"": 7, ""orcid"": null, ""bibliographic"": true}, {""id"": ""nuhyg"", ""name"": ""Amir H. Gandomi"", ""index"": 8, ""orcid"": null, ""bibliographic"": true}]",Saeed Nosratabadi,"Business; Management Sciences and Quantitative Methods; Management Information Systems; Business and Corporate Communications; Business Administration, Management, and Operations; Marketing; Social and Behavioral Sciences; Business Intelligence; Advertising and Promotion Management; Entrepreneurial and Small Business Operations; E-Commerce; Corporate Finance; Engineering; Insurance; Finance and Financial Management; Economics; Computational Engineering; Finance","[{""id"": ""5a57dc21076808000d815734"", ""text"": ""Business""}, {""id"": ""5a57dc22076808000d815736"", ""text"": ""Management Sciences and Quantitative Methods""}, {""id"": ""5a57dc22076808000d815738"", ""text"": ""Management Information Systems""}, {""id"": ""5a57dc22076808000d815739"", ""text"": ""Business and Corporate Communications""}, {""id"": ""5a57dc22076808000d81573b"", ""text"": ""Business Administration, Management, and Operations""}, {""id"": ""5a57dc23076808000d81573d"", ""text"": ""Marketing""}, {""id"": ""5a57dc24076808000d81573f"", ""text"": ""Social and Behavioral Sciences""}, {""id"": ""5a57dc24076808000d815741"", ""text"": ""Business Intelligence""}, {""id"": ""5a57dc25076808000d81574e"", ""text"": ""Advertising and Promotion Management""}, {""id"": ""5a57dc25076808000d815754"", ""text"": ""Entrepreneurial and Small Business Operations""}, {""id"": ""5a57dc26076808000d815759"", ""text"": ""E-Commerce""}, {""id"": ""5a57dc28076808000d815791"", ""text"": ""Corporate Finance""}, {""id"": ""5a57dc2b076808000d8157e9"", ""text"": ""Engineering""}, {""id"": ""5a57dc2b076808000d8157ed"", ""text"": ""Insurance""}, {""id"": ""5a57dc2b076808000d815803"", ""text"": ""Finance and Financial Management""}, {""id"": ""5a57dc2c076808000d815822"", ""text"": ""Economics""}, {""id"": ""5a57dc33076808000d815946"", ""text"": ""Computational Engineering""}, {""id"": ""5a57dc3d076808000d815b2c"", ""text"": ""Finance""}]",https://osf.io/download/5f88d7dfd85b70020b656a87,0,,not_applicable,not_applicable,[],,2025-04-09T20:03:45.894322
53esy_v1,Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics,"The popularity of deep reinforcement learning (DRL) methods in economics have been exponentially increased. DRL, through a wide range of capabilities from reinforcement learning (RL) to deep learning (DL), offers vast opportunities for handling sophisticated economics dynamic systems. DRL is characterized by scalability with the potential to be applied to high-dimensional problems in conjunction with noisy and nonlinear patterns of economic data. In this paper, we initially consider a brief review of DL, RL, and deep RL methods in diverse applications in economics, providing an in-depth insight into state of the art. Furthermore, the architecture of DRL applied to economic applications is investigated in order to highlight the complexity, robustness, accuracy, performance, computational tasks, risk constraints, and profitability. The survey results indicate that DRL can provide better performance and higher efficiency as compared to the traditional algorithms while facing real economic problems at the presence of risk parameters and the ever-increasing uncertainties.",2020-10-14T20:18:55.082649,2020-10-20T10:13:42.146359,2020-10-20T10:13:18.555738,,,frenxiv,1,accepted,1,1,https://doi.org/10.31226/osf.io/53esy,GNU Lesser General Public License (LGPL) 3.0,deep learning; deep reinforcement learning; economic; engineering; estimation; huge data; model; modeling; prediction,"[""deep learning"", ""deep reinforcement learning"", ""economic"", ""engineering"", ""estimation"", ""huge data"", ""model"", ""modeling"", ""prediction""]",Amir Mosavi; Pedram Ghamisi; Yaser Faghan; Puhong Duan; Sina Faizollahzadeh Ardabili; Ely Salwana; Shahab Band,"[{""id"": ""rx2k7"", ""name"": ""Amir Mosavi"", ""index"": 0, ""orcid"": ""0000-0003-4842-0613"", ""bibliographic"": true}, {""id"": ""c7kaq"", ""name"": ""Pedram Ghamisi"", ""index"": 1, ""orcid"": null, ""bibliographic"": true}, {""id"": ""mj3cx"", ""name"": ""Yaser Faghan"", ""index"": 2, ""orcid"": null, ""bibliographic"": true}, {""id"": ""yjqz8"", ""name"": ""Puhong Duan"", ""index"": 3, ""orcid"": null, ""bibliographic"": true}, {""id"": ""vmtuw"", ""name"": ""Sina Faizollahzadeh Ardabili"", ""index"": 4, ""orcid"": null, ""bibliographic"": true}, {""id"": ""nw4ca"", ""name"": ""Ely Salwana"", ""index"": 5, ""orcid"": null, ""bibliographic"": true}, {""id"": ""f8v73"", ""name"": ""Shahab Band"", ""index"": 6, ""orcid"": null, ""bibliographic"": true}]",Amir Mosavi,Engineering,"[{""id"": ""5a57dc2b076808000d8157e9"", ""text"": ""Engineering""}]",https://osf.io/download/5f875d4a37b6bb0138307d12,0,,no,no,[],,2025-04-09T20:03:52.199964
rc954_v1,A Machine Learning Ontology,"This paper describes the creation of an ontology to represent the knowledge around the Machine Learning discipline. Protégé 5 was used, which produces results suitable for agents developed by software and for humans. The knowledge created by Protégé is explicit and Protégé has itself inference machines capable of producing implicit knowledge. The resources available in Protégé 5 are displayed and the ontology is made available for public use, in all of its versions.",2020-10-14T16:03:07.325119,2023-09-26T15:13:41.270323,2020-10-20T10:11:52.926698,2020-10-14T03:00:00,,frenxiv,1,accepted,1,1,https://doi.org/10.31226/osf.io/rc954,CC-By Attribution 4.0 International,machine learning; ontology,"[""machine learning"", ""ontology""]",Juliao Braga; Joaquim L R Dias; Francisco Regateiro,"[{""id"": ""k4nbj"", ""name"": ""Juliao Braga"", ""index"": 0, ""orcid"": ""0000-0001-9542-3732"", ""bibliographic"": true}, {""id"": ""g2sut"", ""name"": ""Joaquim L R Dias"", ""index"": 1, ""orcid"": null, ""bibliographic"": true}, {""id"": ""2fb3g"", ""name"": ""Francisco Regateiro"", ""index"": 2, ""orcid"": null, ""bibliographic"": true}]",Juliao Braga,Physical Sciences and Mathematics; Computer Sciences; Artificial Intelligence and Robotics,"[{""id"": ""5a57dc25076808000d81574c"", ""text"": ""Physical Sciences and Mathematics""}, {""id"": ""5a57dc28076808000d81578d"", ""text"": ""Computer Sciences""}, {""id"": ""5a57dc2b076808000d8157e8"", ""text"": ""Artificial Intelligence and Robotics""}]",https://osf.io/download/5f872141084712012efdd59c,0,,available,not_applicable,[],,2025-04-09T20:03:52.204743