Objective To analyze the latent classes of social alienation in colorectal cancer patients and further explore the influencing factors and cumulative effects of risk factors across different classes,thereby providing a reference for individualized interventions.Methods Convenience sampling was used to select colorectal cancer patients hospitalized in the gastrointestinal surgery and oncology departments of 3 tertiary-level hospitals in Shandong Province from January to June 2023 as the study subjects.A questionnaire survey was conducted using the General Information Questionnaire,Social Avoidance Scale,Social Anxiety Scale,UCLA Loneliness Scale,Sense of Coherence Scale,Family Cohesion Scale,and Social Support Rating Scale.Data analysis was performed using latent profile analysis and multivariate logistic regression analysis.Results A total of 292 questionnaires were distributed,with 270 valid responses collected,yielding a response rate of 92.47％.The results of the latent profile analysis indicated that social alienation among colorectal cancer patients could be categorized into 3 latent groups:the"low alienation group"(42.59％),the"high alienation-high social avoidance group"(14.08％),and the"moderate alienation-high social anxiety group"(43.33％).Results of logistic regression analysis revealed that employment status,stoma status,metastasis,sense of coherence,family cohesion,and social support were influencing factors across different categories.Moreover,a cumulative effect of sense of coherence,family cohesion,and social support on distinct categories was observed(P＜0.05).Conclusion Social alienation among colorectal cancer patients exhibits group heterogeneity.Healthcare professionals should identify the characteristic differences among patients,prioritise those with multiple risk factors,and develop targeted intervention measures to help them better integrate into society.

Objective To analyze the latent classes of social alienation in colorectal cancer patients and further explore the influencing factors and cumulative effects of risk factors across different classes,thereby providing a reference for individualized interventions.Methods Convenience sampling was used to select colorectal cancer patients hospitalized in the gastrointestinal surgery and oncology departments of 3 tertiary-level hospitals in Shandong Province from January to June 2023 as the study subjects.A questionnaire survey was conducted using the General Information Questionnaire,Social Avoidance Scale,Social Anxiety Scale,UCLA Loneliness Scale,Sense of Coherence Scale,Family Cohesion Scale,and Social Support Rating Scale.Data analysis was performed using latent profile analysis and multivariate logistic regression analysis.Results A total of 292 questionnaires were distributed,with 270 valid responses collected,yielding a response rate of 92.47％.The results of the latent profile analysis indicated that social alienation among colorectal cancer patients could be categorized into 3 latent groups:the"low alienation group"(42.59％),the"high alienation-high social avoidance group"(14.08％),and the"moderate alienation-high social anxiety group"(43.33％).Results of logistic regression analysis revealed that employment status,stoma status,metastasis,sense of coherence,family cohesion,and social support were influencing factors across different categories.Moreover,a cumulative effect of sense of coherence,family cohesion,and social support on distinct categories was observed(P＜0.05).Conclusion Social alienation among colorectal cancer patients exhibits group heterogeneity.Healthcare professionals should identify the characteristic differences among patients,prioritise those with multiple risk factors,and develop targeted intervention measures to help them better integrate into society.

Oxygen therapy is an effective clinical method for the treatment of respiratory disorders, oxygen concentrator as a necessary medical auxiliary equipment in hospitals, its research and development has been a hot spot. The study reviewed the development history of the ventilator, introduced the two preparation technique of the oxygen generator pressure swing absorption (PSA) and vacuum pressure swing adsorption (VPSA), and analyzed the core technology development of the oxygen generator. In addition, the study compared some major brands of oxygen concentrators on the market and prospected the development trend of oxygen concentrators.
Oxygen ; Oxygen Inhalation Therapy ; Hospitals ; Ventilators, Mechanical ; Equipment Design

Body temperature is an important physiological parameter of the human body and is used in medicine to reflect the physiological state and health status of the human body. At present, the commonly used clinical thermometers on the market are mainly divided into contact and non-contact types. Most of them are used for rapid body temperature measurement, and it is not easy to monitor body temperature changes in real time. This article introduces a new wearable wireless body temperature monitoring system based on NTC, which senses through NTC. The temperature changes are amplified and filtered, zeroed, and calibrated, and then the temperature data is uploaded to the mobile phone APP via Bluetooth in real time to achieve real-time accurate measurement of body temperature.
Body Temperature ; Cell Phone ; Humans ; Monitoring, Physiologic ; Temperature ; Wearable Electronic Devices ; Wireless Technology

This study introduces a portable multi-channel EEG signal acquisition system. The system is mainly composed of EEG electrode connector, signal conditioning circuit, EEG acquisition part, main control MCU and power supply part. The low-power EEG acquisition front-end ADS1299 and STM32 are used to form the signal acquisition and data communication part. The collected EEG signal can be transmitted to the PC for real-time display. After relevant tests, the system has small volume, low power consumption, high signal-to-noise ratio, and meets the requirements of portable wearable medical devices.
Electric Power Supplies ; Electrodes ; Electroencephalography ; Signal Processing, Computer-Assisted ; Signal-To-Noise Ratio

Body temperature is an essential physiological parameter. Conducting non-contact, fast and accurate measurement of temperature is increasing important under the background of COVID-19. The study introduces an infrared temperature measurement system based on the thermopile infrared temperature sensor ZTP-135SR. Extracting original temperature date of sensor, post-amplification and filter processing have been performed to ensure accuracy of the system. In addition, the temperature data of environmental compensation which obtained by polynomial fitting is added to the system to further improve measurement accuracy.
Algorithms ; Body Temperature ; COVID-19 ; Humans ; Temperature ; Thermometers

Ventilator is an indispensable emergency medical equipment in hospitals. The global outbreak of the coronavirus disease 2019 (COVID-19) has highlighted the importance of the ventilator, which has attracted the attention and research on ventilators of all countries in the world. This article reviews the development history of the ventilator, briefly introduces the main air circuit structure and working principle of the ventilator, and then deeply analyzes the key technologies of this device. In addition, it compares some major brands of ventilators from several aspects in the market. Finally, the development trend and perspective of ventilators are presented.
COVID-19 ; Equipment Design ; Home Care Services ; Humans ; Respiration, Artificial ; SARS-CoV-2 ; Ventilators, Mechanical