We report detailed polarization and single-pulse studies of PSR B0950+08 with the Five-hundred-meter Aperture Spherical Radio Telescope (FAST) at 1250 MHz. Significant bridge emission was observed between the inter-pulse and the main pulse and the height of the bridge decreased with increase in frequency. Our results support the interpretation that both the inter-pulse and the main pulse of this pulsar are from the same magnetic pole. From the relative peak flux density and the relative energy distribution, we conclude that no giant pulse was detected in PSR B0950+08. Our results provide opportunities to study the origin of the emission from PSR B0950+08 and offer new insights into the origins of pulsar emission and bridge emission.

Quasiperiodic micropulses (QMPs) are quasiperiodic microstructural features manifested in individual pulsar radio pulses, the study of which is crucial for understanding pulsar radiation mechanisms. Manual identification of QMPs in large-scale pulsar single-pulse datasets remains highly inefficient. To address this, we propose a dual-stage residual network (DSR) that achieves automated QMP detection in Five-hundred-meter Aperture Spherical radio Telescope observational data through joint analysis of single-pulse profiles and their amplitude distribution profiles, defined as the power spectra of the autocorrelation function derivatives of the microstructure residuals. The model was trained on PSR B1933+16 data from 2019 (10,486 single pulses) and evaluated on manually annotated PSR B1933+16 data from 2020 (9657 single pulses). DSR achieved 96.10% recall and 95.85% precision on the test set. This approach provides an automated pipeline for large-scale, reproducible QMP identification and establishes the foundation for in-depth investigation of their physical mechanisms.

Quasi-periodic MicroPulses (QMP) are quasi-periodic microstructural features manifested in individual pulsar radio pulses, the study of which is crucial for understanding pulsar radiation mechanisms. Manual identification of QMP in large-scale pulsar single-pulse datasets remains highly inefficient. To address this, we propose a Dual-Stage Residual Network (DSR) that achieves automated QMP detection in FAST observational data through joint analysis of single-pulse profiles and their Amplitude Distribution Profiles (ADP), defined as the power spectra of the autocorrelation function derivatives of the microstructure residuals. The model was trained on PSR B1933+16 data from 2019 (10,486 single pulses) and evaluated on manually annotated PSR B1933+16 data from 2020 (9,657 single pulses). DSR achieved 96.10\% recall and 95.85\% precision on the test set. This approach provides an automated pipeline for large-scale, reproducible QMP identification and establishes the foundation for in-depth investigation of their physical mechanisms.

The 4 × 4.5 m radio telescope array at Guizhou Normal University is an astronomical observation facility in operation, mainly aiming at the scientific detection of pulsars and fast radio bursts. To adequately address the observational requirements of this telescope array, we developed an observation scheduling system. This system is able to predict and plot the elevation change curves of the observed targets in relation to the telescope array during the whole day. In addition, for multiple targets, it provides intelligent scheduling and processing according to the observable time. The system also offers a comprehensive database of calibrators for the flux calibration of the targets. Moreover, it can generate pre-configured array $uv$ coverage maps, which assist in determining the optimal configuration of the array. This system has been operating during the daily observations of the $4\times 4.5$ m radio telescope array and has successfully detected two typical pulsars. It has also been tested for applicability in target-observation prediction in other radio telescope arrays.

Using the rotating vector model (RVM) and aiming to constrain the value of the magnetic inclination angle ($\alpha$), we perform a least-squares fit on the linearly polarized position angles of 125 pulsars from Parkes 64 m archive data at 1400 MHz. Subsequently, a statistical analysis of the normalized Q parameters is carried out. Furthermore, based on the Q-parameter, we provide a further understanding of the geometry of the radio emission region of the pulsar. In this statistical sample, about 1/5 of the sample is clustered at 0, suggesting that this part of the pulsar is viewed from the center of the radiation cone. For the rest of the pulsars, the Q parameters follow a uniform distribution, supporting the conclusion that the interface of the radiation cone is non-elliptical.