Hasegawa Yuji of the Vienna University of Technology and Masaaki Ozawa of Nagoya University and other scholars published empirical results against Heisenberg’s uncertainty principle on January 15, 2012.They got a measurement result with a smaller error than the Heisenberg uncertainty principle, which proved the measurement advocated by the Heisenberg uncertainty principle.This article follows the method I used to study superradiation and connects the uncertainty principle with the superradiation effect. I found that under the superradiation effect, the measurement limit of the uncertainty principle can be smaller.
{"title":"Uncertainty principle and superradiance","authors":"Wen-Xiang Chen","doi":"10.31219/osf.io/gcz5d","DOIUrl":"https://doi.org/10.31219/osf.io/gcz5d","url":null,"abstract":"Hasegawa Yuji of the Vienna University of Technology and Masaaki Ozawa of Nagoya University and other scholars published empirical results against Heisenberg’s uncertainty principle on January 15, 2012.They got a measurement result with a smaller error than the Heisenberg uncertainty principle, which proved the measurement advocated by the Heisenberg uncertainty principle.This article follows the method I used to study superradiation and connects the uncertainty principle with the superradiation effect. I found that under the superradiation effect, the measurement limit of the uncertainty principle can be smaller.","PeriodicalId":23650,"journal":{"name":"viXra","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89891993","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}
Pub Date : 2020-09-01DOI: 10.21608/aujes.2020.127572
R. Gobato, A. Heidari, A. Mitra, Marcia Regina Risso Gobato
he characteristic shape of hurricanes, cyclones, typhoons is a spiral. There are several types of turns, and determining the characteristic equation of which spiral the "cyclone bomb" (CB) fits into is the goal of the work. In mathematics, a spiral is a curve which emanates from a point, moving farther away as it revolves around the point. An “explosive extratropical cyclone” is an atmospheric phenomenon that occurs when there is a very rapid drop in central atmospheric pressure. This phenomenon, with its characteristic of rapidly lowering the pressure in its interior, generates very intense winds and for this reason it is called explosive cyclone, bomb cyclone. It was determined the mathematical equation of the shape of the extratropical cyclone, being in the shape of a spiral called “Cotes’s Spiral." In the case of CB, which formed in the south of the Atlantic Ocean, and passed through the south coast of Brazil in July 2020, causing great damages in several cities in the State of Santa Catarina. With gusts recorded of 116 km/h, atmospheric phenomenon – “cyclone bomb" (CB) hit southern Brazil on June 30, the beginning of winter 2020, causing destruction in its influence over. In five hours the CB traveled a distance of 257.48 km (159.99 miles), at an average speed of 51.496 km/h (31.998 miles/h) 27.81 knots, moved towards ENE, with a low pressure center of 986 mbar, 07:20 UTC, approximate location 35◦S45◦W, and 5 hours after 12:20 UTC had already grown and had a low pressure center of 972 mbar , approximate location 34◦S 42◦30’W.
{"title":"Cotes's Spiral Vortex in Extratropical Cyclone Bomb South Atlantic Oceans","authors":"R. Gobato, A. Heidari, A. Mitra, Marcia Regina Risso Gobato","doi":"10.21608/aujes.2020.127572","DOIUrl":"https://doi.org/10.21608/aujes.2020.127572","url":null,"abstract":"he characteristic shape of hurricanes, cyclones, typhoons is a spiral. There are several types of turns, and determining the characteristic equation of which spiral the \"cyclone bomb\" (CB) fits into is the goal of the work. In mathematics, a spiral is a curve which emanates from a point, moving farther away as it revolves around the point. An “explosive extratropical cyclone” is an atmospheric phenomenon that occurs when there is a very rapid drop in central atmospheric pressure. This phenomenon, with its characteristic of rapidly lowering the pressure in its interior, generates very intense winds and for this reason it is called explosive cyclone, bomb cyclone. It was determined the mathematical equation of the shape of the extratropical cyclone, being in the shape of a spiral called “Cotes’s Spiral.\" In the case of CB, which formed in the south of the Atlantic Ocean, and passed through the south coast of Brazil in July 2020, causing great damages in several cities in the State of Santa Catarina. With gusts recorded of 116 km/h, atmospheric phenomenon – “cyclone bomb\" (CB) hit southern Brazil on June 30, the beginning of winter 2020, causing destruction in its influence over. In five hours the CB traveled a distance of 257.48 km (159.99 miles), at an average speed of 51.496 km/h (31.998 miles/h) 27.81 knots, moved towards ENE, with a low pressure center of 986 mbar, 07:20 UTC, approximate location 35◦S45◦W, and 5 hours after 12:20 UTC had already grown and had a low pressure center of 972 mbar , approximate location 34◦S 42◦30’W.","PeriodicalId":23650,"journal":{"name":"viXra","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87621660","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":"Equivalence of Information and Immanence","authors":"Friedhelm M. Jöge","doi":"10.15640/ijpa.v8n2a1","DOIUrl":"https://doi.org/10.15640/ijpa.v8n2a1","url":null,"abstract":"","PeriodicalId":23650,"journal":{"name":"viXra","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73246575","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}
As a good try, we took liberty for formula derivation that would allow describing many physical phenomena. In Nature, we face many situations when a single magnitude is a reason for drastic changes in the whole physical process. A single flexible instrument for describing processes of any kind would help a lot. We propose a function for generating mathematical models for a process behavior. We introduce special parameters that will help researchers find an acceptable solution for their tasks. The Dynamics coefficient, as well as dynamic function, is crucial for graph change. It can be used for the dynamic corrections of the whole physical process.
{"title":"Neuro-Amorphic Function","authors":"Egger L. Mielberg","doi":"10.31219/osf.io/wg7t2","DOIUrl":"https://doi.org/10.31219/osf.io/wg7t2","url":null,"abstract":"As a good try, we took liberty for formula derivation that would allow describing many physical phenomena. In Nature, we face many situations when a single magnitude is a reason for drastic changes in the whole physical process. A single flexible instrument for describing processes of any kind would help a lot. We propose a function for generating mathematical models for a process behavior. We introduce special parameters that will help researchers find an acceptable solution for their tasks. The Dynamics coefficient, as well as dynamic function, is crucial for graph change. It can be used for the dynamic corrections of the whole physical process.","PeriodicalId":23650,"journal":{"name":"viXra","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84082436","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}
Newton established a major physics advance which was confirmed by predicting the late return of Halley's comet. Newton identified three characteristics of bodies that have been identified as three characteristics of ``mass''. Physics theory restarting from Newton's speculations and then describing the experiments of the 19th and 20th centuries results in a model of the big, the small, and the four forces (GUT) - the Scalar Theory of Everything (STOE).
{"title":"Scalar Theory of Everything (STOE) unites the big, the small, and the four forces (GUT) by extending Newton’s model","authors":"J. Hodge","doi":"10.32370/ia_2020_12_3","DOIUrl":"https://doi.org/10.32370/ia_2020_12_3","url":null,"abstract":"Newton established a major physics advance which was confirmed by predicting the late return of Halley's comet. Newton identified three characteristics of bodies that have been identified as three characteristics of ``mass''. Physics theory restarting from Newton's speculations and then describing the experiments of the 19th and 20th centuries results in a model of the big, the small, and the four forces (GUT) - the Scalar Theory of Everything (STOE).","PeriodicalId":23650,"journal":{"name":"viXra","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76191520","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}
We report the observation of sharp electrical resonance of water with width ~2 neV in the low radiofrequency range at room temperature. Various controlling factors, including temperature, pH level, biasvoltage, and boundary conditions are found to impact on the resonance frequency and intensity. The neVlevel of the resonant width is not expected under room temperature (~25 meV), within any existingmolecular theory of the dielectric properties of water, strongly suggesting that a macroscopic long-rangecoherent quantum mechanical excited state is responsible for the resonance.
{"title":"Low Frequency Electrical Resonance in Water","authors":"Xindong Wang, Qiang Fu","doi":"10.31219/osf.io/myh24","DOIUrl":"https://doi.org/10.31219/osf.io/myh24","url":null,"abstract":"We report the observation of sharp electrical resonance of water with width ~2 neV in the low radiofrequency range at room temperature. Various controlling factors, including temperature, pH level, biasvoltage, and boundary conditions are found to impact on the resonance frequency and intensity. The neVlevel of the resonant width is not expected under room temperature (~25 meV), within any existingmolecular theory of the dielectric properties of water, strongly suggesting that a macroscopic long-rangecoherent quantum mechanical excited state is responsible for the resonance.","PeriodicalId":23650,"journal":{"name":"viXra","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83829166","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}
Pub Date : 2020-08-28DOI: 10.20944/preprints202008.0641.v1
DongHyun Kim
In this paper, we propose 2 novel methods for brain tumor detection in MRI images. In the first proposed approach, we build upon prior research on ensemble methods by testing the concatenation of pre-trained models: features extracted via transfer learning are merged and segmented by classification algorithms or a stacked ensemble of those algorithms. In the second approach, we expand upon prior studies on convolutional neural networks: a convolutional neural network involving a specific module of layers is used for classification. The first approach achieved accuracy scores of 0.98 and the second approach achieved a score of 0.863, outperforming a benchmark VGG-16 model. Considerations to granular computing and circuit complexity theory are given in the paper as well.
{"title":"Brain Tumor Detection: 2 Novel Approaches","authors":"DongHyun Kim","doi":"10.20944/preprints202008.0641.v1","DOIUrl":"https://doi.org/10.20944/preprints202008.0641.v1","url":null,"abstract":"In this paper, we propose 2 novel methods for brain tumor detection in MRI images. In the first proposed approach, we build upon prior research on ensemble methods by testing the concatenation of pre-trained models: features extracted via transfer learning are merged and segmented by classification algorithms or a stacked ensemble of those algorithms. In the second approach, we expand upon prior studies on convolutional neural networks: a convolutional neural network involving a specific module of layers is used for classification. The first approach achieved accuracy scores of 0.98 and the second approach achieved a score of 0.863, outperforming a benchmark VGG-16 model. Considerations to granular computing and circuit complexity theory are given in the paper as well.","PeriodicalId":23650,"journal":{"name":"viXra","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86546761","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}
The author proposes to find a generic formula for the sum of first factorials (i.e. ∑ ! ). Also, the author puts to use Ramanujan approximation of factorial to create a variant for the factorial sum.
作者提出了一阶阶乘和(即∑!)的一般公式。。此外，作者还利用阶乘的拉马努金近似来创建阶乘和的变体。
{"title":"A Formula that Generates the Sum of First n Factorials","authors":"Prateek P. Kulkarni","doi":"10.5281/ZENODO.4007509","DOIUrl":"https://doi.org/10.5281/ZENODO.4007509","url":null,"abstract":"The author proposes to find a generic formula for the sum of first factorials (i.e. ∑ ! ). Also, the author puts to use Ramanujan approximation of factorial to create a variant for the factorial sum.","PeriodicalId":23650,"journal":{"name":"viXra","volume":"245 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77480214","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}
Pub Date : 2020-08-06DOI: 10.13140/RG.2.2.35925.45283
Jean-Yves Boulay
It is proposed here to represent the quantum distribution of atomic orbitals in an unprecedented table where the quantum shells and subshells are drawn in the form of chevrons whose vertices are occupied by orbitals with the magnetic quantum number m = 0. This new representation visually shows, much better than a classic linear chart, the relationship between the number of quantum shells and the number of orbitals. Also, this new visual model can be easily used in the individual quantum depiction of the atoms represented alone or into molecules and can find its place in illustration of some two-dimensional space-time quantum theories. Finally, this graphic representation allows to introduce the hypothesis of the existence of stealth orbitals, quantum gates opening towards singularities.
{"title":"Chevron form quantum chart","authors":"Jean-Yves Boulay","doi":"10.13140/RG.2.2.35925.45283","DOIUrl":"https://doi.org/10.13140/RG.2.2.35925.45283","url":null,"abstract":"It is proposed here to represent the quantum distribution of atomic orbitals in an unprecedented table where the quantum shells and subshells are drawn in the form of chevrons whose vertices are occupied by orbitals with the magnetic quantum number m = 0. This new representation visually shows, much better than a classic linear chart, the relationship between the number of quantum shells and the number of orbitals. Also, this new visual model can be easily used in the individual quantum depiction of the atoms represented alone or into molecules and can find its place in illustration of some two-dimensional space-time quantum theories. Finally, this graphic representation allows to introduce the hypothesis of the existence of stealth orbitals, quantum gates opening towards singularities.","PeriodicalId":23650,"journal":{"name":"viXra","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73407503","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}
The Cauchy problem has been applied to a simple case of linear function in the form y=f(x) expressing wavelength values previously acquired through computer simulations and satisfying the observed empirical initial condition that the extrapolated value of the C-N torsion of 14.10 μm from the Spitzer Telescope spectrum should be sustained.
{"title":"An application of the Cauchy problem in a semi-empirical context","authors":"Pardis Tabaee Damavandi","doi":"10.31219/osf.io/hrtnf","DOIUrl":"https://doi.org/10.31219/osf.io/hrtnf","url":null,"abstract":"The Cauchy problem has been applied to a simple case of linear function in the form y=f(x) expressing wavelength values previously acquired through computer simulations and satisfying the observed empirical initial condition that the extrapolated value of the C-N torsion of 14.10 μm from the Spitzer Telescope spectrum should be sustained.","PeriodicalId":23650,"journal":{"name":"viXra","volume":"82 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76932043","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}
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