Treating erectile dysfunction with sildenafil alone versus combined with vitamin D3 in patients with low serum 25-hydroxy vitamin D3: a prospective randomized controlled open trial

This study aimed to compare the efficacy and risk of adverse events of sildenafil plus vitamin D3 versus sildenafil alone in improving erectile dysfunction (ED) in ED patients with low serum 25-hydroxy vitamin D3 (25-(OH)D3). The clinical data of ED patients with low serum 25-(OH)D3 treated at our center from December 2015 to December 2020 were retrieved, and the patients (n = 157) were randomly divided into an experimental group (n = 80) or a control group (n = 77). The experimental group was treated with 1 capsule of vitamin D3 (400u) daily for a month and advised to use 100 mg sildenafil (po) within 1 hour before sexual intercourse, while the control group was only given 100 mg sildenafil (po) 1 hour before sexual intercourse. The indexes of international erectile function (IIEF-5), serum 25-(OH)D3 level, testosterone (T) level and adverse events between the two groups were compared before and after treatment. The results showed that the IIEF-5 values of the two groups were significantly higher after treatment than before treatment (p < 0.05). However, the serum levels of 25-(OH)D3 and T in the experimental group were significantly higher than before treatment (p < 0.05), while no significant differences were observed in the same markers in the control group before and after treatment (p > 0.05). The overall effective rate, serum 25-(OH)D3 level and T level in the experimental group were significantly higher than the control group (p < 0.05). During the treatment, no significant difference in adverse events was observed between the two groups (p > 0.05), which mostly comprised mild and tolerable headache, dyspepsia, back pain and muscle soreness, not requiring any medical intervention. Although both methods could effectively treat ED patients with low 25-(OH)D3, the efficacy of sildenafil plus vitamin D3 was significantly superior to sildenafil alone, and the adverse reactions are mild and tolerable, which is worthy of clinical application

Trends in cutaneous squamous cell carcinoma on the lip incidence and mortality in the United States, 2000–2019

ObjectiveThis study provided a systematic analysis of the trend in incidence and incidence-based mortality for cutaneous squamous cell carcinoma (cSCC) on the lips in the USA using demographic characteristics from the Surveillance, Epidemiology, and End Results (SEER) database.MethodsPatients diagnosed with cSCC on the lips between 2000 and 2019 from the 17 registries of the USA were identified. Incidence and incidence-based mortality rates were analyzed using SEER*Stat 8.4.0.1 software. This paper calculated incidence rates and incidence-based mortality rates by 100,000 person-years for sex, age, race, SEER registries, median household income ($/year), rural-urban distribution, and primary site. The annual percent changes (APC) in incidence and incidence-based mortality rates were then calculated using joinpoint regression software.ResultsAmong 8,625 patients diagnosed with cSCC on the lips from 2000 to 2019, men (74.67%), white (95.21%), and 60–79 years old were the most common population, and 3,869 deaths from cSCC on the lips occurred. The overall incidence of cSCC on the lips was 0.516 per 100,000 person-years. cSCC on the lip incidence rates were highest among men, white, and patients aged 60–79 years old. cSCC on the lip incidence rates decreased by 3.210%/year over the study period. The incidence of cSCC on the lips has been decreasing in all sexes, ages, high- or low-income households, and urban or rural patients. The overall incidence-based mortality rate of cSCC on the lips during 2000–2019 was 0.235 per 100,000 person-years. cSCC on the lip incidence-based mortality rates were highest among men, whites, and people older than 80 years old. cSCC on the lip incidence-based mortality increased by 4.975%/year over the study period. cSCC on the lip incidence-based mortality rates increased for all sexes, races, ages, primary sites, high- or low-income households, and urban or rural patients during the study period.ConclusionAmong patients in the USA diagnosed with cSCC on the lips from 2000 to 2019, the overall incidence decreased by 3.210% annually, and incidence-based mortality increased by 4.975%/year. These findings update and supplement the epidemiological information of cSCC on the lips in the USA

Coexistence and interference mitigation for WPANs and WLANs from traditional approaches to deep learning: a review

More and more devices, such as Bluetooth and IEEE 802.15.4 devices forming Wireless Personal Area Networks (WPANs) and IEEE 802.11 devices constituting Wireless Local Area Networks (WLANs), share the 2.4 GHz Industrial, Scientific and Medical (ISM) band in the realm of the Internet of Things (IoT) and Smart Cities. However, the coexistence of these devices could pose a real challenge—co-channel interference that would severely compromise network performances. Although the coexistence issues has been partially discussed elsewhere in some articles, there is no single review that fully summarises and compares recent research outcomes and challenges of IEEE 802.15.4 networks, Bluetooth and WLANs together. In this work, we revisit and provide a comprehensive review on the coexistence and interference mitigation for those three types of networks. We summarize the strengths and weaknesses of the current methodologies, analysis and simulation models in terms of numerous important metrics such as the packet reception ratio, latency, scalability and energy efficiency. We discover that although Bluetooth and IEEE 802.15.4 networks are both WPANs, they show quite different performances in the presence of WLANs. IEEE 802.15.4 networks are adversely impacted by WLANs, whereas WLANs are interfered by Bluetooth. When IEEE 802.15.4 networks and Bluetooth co-locate, they are unlikely to harm each other. Finally, we also discuss the future research trends and challenges especially Deep-Learning and Reinforcement-Learning-based approaches to detecting and mitigating the co-channel interference caused by WPANs and WLANs

Rhizosphere Microenvironments of Eight Common Deciduous Fruit Trees Were Shaped by Microbes in Northern China

The rhizosphere microenvironment is the site of nutrient circulation and microbial community formation, and thus is an ongoing topic of research. Although research on this topic is extensive, studies into the rhizosphere microenvironment of fruit trees remain rare. To elucidate the mechanisms driving the fruit tree rhizosphere microenvironment, we assessed soil physicochemical properties, enzyme activities, the community-level physiological profile (CLPP) and microbial diversity in rhizospheric soils of eight common deciduous fruit trees in northern China. We found that the available minerals, pH, enzyme activities, microbial utilization of six types of carbon (C) substrates, and microbial diversity in the rhizosphere varied among tree species. Redundancy analysis (RDA) showed that rhizosphere microenvironmental parameters (ammonia nitrogen content, soil pH and invertase activity) were closely related to the soil microbial community. Further analysis revealed that the soil microbial utilization of six C sources, nitrate nitrogen content, and invertase activity were negatively correlated with Ambiguous species and Alternaria; however, these groups were positively correlated with pH. The ammonia nitrogen content was positively correlated with C source utilization and negatively correlated with Ambiguous, Lysobacter, Nitrospira, Alternaria, Fusarium, and Colletotrichum. Interestingly, invertase was closely linked to the microbial community, especially fungal diversity, and was positively correlated with plant-beneficial microbes such as Mortierella, Geomyces, Lysobacter, and Chaetomium, but negatively correlated with pathogenic microbes such as Alternaria, Fusarium, and Colletotrichum. Hence, rhizosphere soil physicochemical properties, enzyme activities and microbial community were significantly affected by tree species. Additionally, a variety of environmental factors were closely related to the microbial community in the rhizospheric soils of eight species of deciduous fruit trees

Recovery of Zinc and Iron from Steel Mill Dust—An Overview of Available Technologies

The global shortage of zinc mines makes the extraction of zinc from zinc-containing wastes a hot research topic. Most kinds of steel mill dust (SMD) cannot be directly returned to the ironmaking and steelmaking processes due to their zinc content. A large amount of SMD produced during steelmaking has become a major challenge for steel plants due to environmental pollution, health issues and land scarcity. Lots of processes for recovering metals from SMD have been developed to comprehensively utilize them and solve these environmental problems. Zinc in SMD can be recovered by these technologies, and the residue can be used as raw material for ironmaking. In this work, the sources and characteristics of SMD from different processes were analyzed firstly. Then, the mechanisms of physical, hydrometallurgical, pyrometallurgical and pyrometallurgy–hydrometallurgy combined processes for SMD disposal are presented, and these methods are compared in terms of energy consumption, process complexity and industrial application. Finally, suggestions and prospects for utilization of SMD are put forward

Survey of robotic manipulatorworkspace

Workspace is an important performance index for robotic manipulators. There have been numerous literatures on all aspects of it. This work aims to provide a full picture of workspace. An extensive review of manipulator workspace is presented in this paper, including classification, determination and analysis of workspace. Along with rapid progress of computer's computation performance, the manipulator workspace can be determined efficiently by a simple numerical discretization method, which contributes greatly to fast workspace analysis and design. © 2014 TCCT, CAA

Landmark-Based Facial Feature Construction and Action Unit Intensity Prediction

Human face recognition has been widely used in many fields, including biorobots, driver fatigue monitoring, and polygraph tests. However, the end-to-end models fit by most of the existing algorithms perform poorly in interpretation because complex classifiers are constructed using facial images directly. In addition, in some of the models, dynamic characteristics of subjects as individuals are not fully considered, so dynamic information is not extracted. In order to solve these problems, this paper proposes an action unit intensity prediction model. The three-dimensional coordinates of 68 landmarks of human faces are obtained based on the convolutional experts constrained local model (CE-CLM), which enables the construction of dynamic facial features. Based on the error analysis of the CE-CLM algorithm, dimension reduction of the constructed features is performed by the principal components analysis (PCA). The radial basis function (RBF) neural network is also constructed to train the action unit prediction models. The proposed method is verified by the experiments, and the overall mean square error (MSE) of the proposed method is 0.01826. Lastly, the network construction process is optimized, so that for the same training samples, the models are fitted using fewer iterations. The number of iterations is decreased by 27 on average. In summary, this paper provides a method to rapidly construct action unit (AU) intensity prediction models and constructs automatic AU intensity estimation models for facial images