An alternative model of gravitational forces in nature using the combined effects of repulsion and attraction forces on gaseous molecules

Laboratory experiments and natural phenomena investigations in this research series experimentally revealed the existence of gravitational repulsion force dependent on thermal energy content, pervading our surroundings both microscopically and macroscopically. This paper presents an alternative mathematical model of both gravitational repulsion and attraction forces between two gaseous molecules, validated by experimental data. The model is self-standing and independent of existing models built on idealistic assumptions. While existing models considered gravitational interaction as a single force, the presented experimental model considers it the resultant of two distinct forces: gravitational repulsion and attraction. When established experimental data on nitrogen, hydrogen, oxygen, water vapor, carbon monoxide and carbon dioxide were applied, the model performed, both analytically and experimentally: (1) confirming the existence of both gravitational repulsion and attraction forces among gas molecules, (2) demonstrating that the two forces follow Inverse-Cube relationship with the distance between molecules, (3) revealing that repulsion force is linearly proportional to the absolute temperature, thus filling the critical gap between energy and fundamental forces. Orders of magnitude of gravitational repulsion and attraction forces are very large compared to the gravitational force between gas molecules calculated according to the classical theory, enabling manipulation to achieve hitherto unknown outcomes and developments.

Numerical simulation of contact and separation of magnetic particles under uniform magnetic field

Under the action of an external magnetic field, the magnetic particles will be arranged along the direction of the magnetic field. The laws of physics that control these processes are well described in the literature. However, when the magnetic particles move in the fluid, the magnetic particles with different initial distances have different mutual influences, so there will be different laws of motion. Therefore, based on the motion theory of magnetic particles in Stokes fluid, this article discusses the motion law of the contact and separation of two circular magnetic particles in Newtonian fluid. First, we conduct theoretical and simulation modeling of two magnetic particles under the action of a uniform magnetic field, and verify the correctness of the simulation through experiments; secondly, we use numerical simulation to study the angle of repulsion and attraction of magnetic particles at different initial distances, and analyze at the same time the changes in the trajectory, speed, torque and force of magnetic particles in the process of motion are studied. Finally, the influence of external field conditions on the phenomenon of contact and separation of magnetic particles is studied. The study found that even when the initial angle between the magnetic particles is 90° with the direction of the magnetic field, the magnetic particles with different initial distances will repel under the action of repulsive force and then contact again and keep repelling these two states, a better explanation the reason for the agglomeration of magnetic particles at close range is explained.

The Goldfinch at Eastern Europe’s Crossroads: Russian Subtexts of Donna Tartt’s Novel

Attention to the western reception of Eastern Europe has been relevant for several centuries, but it is especially characteristic of the turn of the 21st century. The inertia of the Cold War is still felt in popular culture: evil is essentialized in the images of Russia/Eastern Europe and Russians/Eastern Europeans every time. Another tradition prefers to create the image of a Russian relying on the harmless, inactive characters of Russian fairy tales and novels, such as Emelya and Oblomov. Russia itself is often not named or portrayed in films and texts; it is replaced by Eastern Europe, Siberia, and fictional cities. The article highlights the main characteristics of the Eastern European text according to Larry Wolff: remoteness, coldness, savagery, passionateness, ambivalence, theatricality, frightening suspense. Eastern European images by the contemporary American writer Donna Tartt (Boris Pavlikovsky and other Slavs in her novel The Goldfinch) are compared with the interpretation of such images in the popular culture and by the writers of the 20th century (in William Somerset Maugham’s novel The Razor’s Edge). In Tartt’s novel, we encounter heroes who are not just interested in Russia and Russians/Eastern Europeans, but are literally fascinated by them, trying to learn the language, study Russian literature. It has been suggested that Fyodor Dolokhov from Leo Tolstoy’s War and Peace, one of the key novels in the world literary tradition, could be the prototype for a significant number of Eastern European images. This ambivalent image combines all the main characteristics of the Eastern European text and allows both negative (most often) and positive (with careful consideration of the plots and characteristics) interpretations. For example, coldness, winter, blizzard can be considered as negative characteristics (especially considering some connotations), but, in the classic novel, which is also oriented towards Dickens, they are naturally connected with the Christmas theme of the miraculous elimination of contradictions, the fabulous resolution of all problems, and transformation. Therefore, it is not surprising that the “code” of the character is repeated, from name to separate themes and motifs. The characteristics Wolff lists – robbery, philosophizing, masquerading, duality – generate both repulsion and attraction. It is possible that the positive perception of Eastern Europe is rooted in the approach to the theme through the prism of literature and literary criticism. Tartt as a philologist is expectedly more influenced by modern literary theory inspired by the formalists, Propp, Bakhtin, Jakobson, and Lotman, than by political clichés.

Examination of an averaging method for estimating repulsion and attraction interactions in moving groups

Groups of animals coordinate remarkable, coherent, movement patterns during periods of collective motion. Such movement patterns include the toroidal mills seen in fish shoals, highly aligned parallel motion like that of flocks of migrating birds, and the swarming of insects. Since the 1970’s a wide range of collective motion models have been studied that prescribe rules of interaction between individuals, and that are capable of generating emergent patterns that are visually similar to those seen in real animal group. This does not necessarily mean that real animals apply exactly the same interactions as those prescribed in models. In more recent work, researchers have sought to infer the rules of interaction of real animals directly from tracking data, by using a number of techniques, including averaging methods. In one of the simplest formulations, the averaging methods determine the mean changes in the components of the velocity of an individual over time as a function of the relative coordinates of group mates. The averaging methods can also be used to estimate other closely related quantities including the mean relative direction of motion of group mates as a function of their relative coordinates. Since these methods for extracting interaction rules and related quantities from trajectory data are relatively new, the accuracy of these methods has had limited inspection. In this paper, we examine the ability of an averaging method to reveal prescribed rules of interaction from data generated by two individual based models for collective motion. Our work suggests that an averaging method can capture the qualitative features of underlying interactions from trajectory data alone, including repulsion and attraction effects evident in changes in speed and direction of motion, and the presence of a blind zone. However, our work also illustrates that the output from a simple averaging method can be affected by emergent group level patterns of movement, and the sizes of the regions over which repulsion and attraction effects are apparent can be distorted depending on how individuals combine interactions with multiple group mates.

How does Strong Interaction create

Our experiment shows that the electrons at fixed place can exert both repulsion and attraction to the negative charges in the same time but at two sides of a boundary called critical radius, where the linear velocity of the electrons’ precession is equal to light speed. This is an uncovered natural law called Critical Cylindrical Effect (CCE) deduced from rotational relativity and proved by the experiments made in our lab. Ten screenshots of the experimental video are given in this paper. This experimental result denotes that both Coulomb’s law and the spin theory of quantum mechanics are incomplete. As an application of CCE, the strong interaction between two protons in nucleus is introduced. It just is the electromagnetic interaction suffered from CCEs of spin and precession.

Latrophilin-2 repels Teneurin-3+ hippocampal axons during target selection

Spatial- and object-related signals are preferentially processed through the medial and lateral hippocampal networks (MHN and LHN), respectively1,2. MHN comprises interconnected medial entorhinal cortex, proximal CA1 (pCA1), and distal subiculum (dSub), whereas the LHN comprises interconnected lateral entorhinal cortex, distal CA1, and proximal subiculum3,4. Previously, we showed that Teneurin-3 (Ten3) has matching expression in all interconnected regions of the MHN and is required in both CA1 and subiculum for the precise pCA1→dSub axon targeting through homophilic attraction5. Can matching gene expression in interconnected nodes of the LHN also contribute to hippocampal network assembly? Here, we discovered that latrophilin-2 (Lphn2), an adhesion GPCR known to bind teneurins6–8, has matching expression in the LHN that is complementary to Ten3. Viral-genetic perturbations in vivo revealed that Ten3+ pCA1 axons are repelled by ectopic expression of Lphn2 in dSub, and ectopically invade proximal subiculum deleted for Lphn2. Simultaneous subiculum deletion of Lphn2 and Ten3 causes Ten3+ pCA1 axon mistargeting reflecting loss of both repulsion and attraction. Our findings demonstrate that Lphn2 acts as a repulsive ligand for Ten3+ axons, identify Ten3 as a receptor for both repulsive and attractive ligands in the same axon during target choice, and reveal how a ‘Ten3→Ten3, Lphn2→Lphn2’ rule directs the precise assembly of functional hippocampal networks.

Two-pion Bose-Einstein Correlations data analysis for the CMS Pb-Pb nucleon collisions

From the data collected in the Compact Muon Solenoid (CMS) Pb-Pb nucleon collisions experiment, the two-pion Bose-Einstein correlation functions for different combination of same charges and different charges are plotted. The influence of repulsion and attraction through Coulomb interaction between charged pions is reduced after applying the standard Gamow-factor Coulomb correction on Gaussian function C(Qinv). According to the Yano-koonin-Podgoretski parametrization, the five-dimensional components of the invariant momentum difference between two pions are calculated. One of the five components, the momentum difference in the transverse plane QT, can be further divided into Qside and Qout. Q0, Qlong, Qside and Qout were then separately plotted and fitted with the Gaussian function. The sizes of pion source or the effective interferometric source can be extracted from the fitting finally.