Xiaoya Yang

Despite remarkable progress in genetics, neuroscience, and pharmacology, modern medicine still cannot explain or cure thousands of rare and refractory diseases, including numerous psychiatric, neurological, dermatological, metabolic, and oncological conditions that remain resistant to all conventional treatments. However, an accumulating body of documented clinical recovery cases, together with direct observation of the spiritual realm through the Dharma Eye of Dharma Master Jun Hong Lu and the systematic practice of the Guan Yin Citta Dharma Door, clearly demonstrates that human existence comprises both a physical body and an immortal soul. The majority of treatment-resistant illnesses stem from either partial loss or dissociation of the soul, or from occupation of the body by external souls (deceased humans or animals, i.e., spirits). This paper therefore presents rigorous, verifiable evidence for the objective existence of the soul and the spirit world; elucidates the precise karmic and spirit mechanisms behind many diseases currently classified as “incurable” by modern medicine; and demonstrates that the Five Golden Buddhist Practices of Guan Yin Citta Dharma Door—making great vows, reciting Buddhist scriptures, performing life liberation, reading Buddhism in Plain Terms, and repenting of wrongdoings and refraining from doing them—provide a reproducible, effective pathway to partial or complete recovery. All these extraordinary outcomes rest upon the recognition of the soul’s existence. Accordingly, Buddhism is not merely a belief system, but the ultimate science of life, health, and the true nature of consciousness.

Knowledge of three-dimensional structures of each individual particles of asymmetric and flexible proteins is essential in understanding those proteins' functions; but their structures are difficult to determine. Electron tomography provides a tool for imaging a single and unique biological object from a series of tilted angles, but it is challenging to image a single protein for three-dimensional reconstruction due to the imperfect mechanical control capability of the specimen goniometer under both a medium to high magnification and an optimized beam coherence condition. Here, we report a fully mechanical control method for automating ET data acquisition without using beam tilt/shift processes. This method could reduce the accumulation of beam tilt/shift that used to compensate the error from the mechanical control, but downgraded the beam coherence. Our method was developed by minimizing the error of the target object center during the tilting process through a closed-loop proportional-integral control algorithm. The validations by both negative staining and cryo-electron microscopy suggest that this method has a comparable capability to other ET methods in tracking target proteins while maintaining optimized beam coherence conditions for imaging.