Exploring the Immune-Boosting Functions of Vitamins and Minerals as Nutritional Food Bioactive Compounds: A Comprehensive Review

Food components have long been recognized to play a fundamental role in the growth and development of the human body, conferring protective functionalities against foreign matter that can be severe public health problems. Micronutrients such as vitamins and minerals are essential to the human body, and individuals must meet their daily requirements through dietary sources. Micronutrients act as immunomodulators and protect the host immune response, thus preventing immune evasion by pathogenic organisms. Several experimental investigations have been undertaken to appraise the immunomodulatory functions of vitamins and minerals. Based on these experimental findings, this review describes the immune-boosting functionalities of micronutrients and the mechanisms of action through which these functions are mediated. Deficiencies of vitamins and minerals in plasma concentrations can lead to a reduction in the performance of the immune system functioning, representing a key contributor to unfavorable immunological states. This review provides a descriptive overview of the characteristics of the immune system and the utilization of micronutrients (vitamins and minerals) in preventative strategies designed to reduce morbidity and mortality among patients suffering from immune invasions or autoimmune disorders.

Food Image Recognition and Food Safety Detection Method Based on Deep Learning

With the development of machine learning, as a branch of machine learning, deep learning has been applied in many fields such as image recognition, image segmentation, video segmentation, and so on. In recent years, deep learning has also been gradually applied to food recognition. However, in the field of food recognition, the degree of complexity is high, the situation is complex, and the accuracy and speed of recognition are worrying. This paper tries to solve the above problems and proposes a food image recognition method based on neural network. Combining Tiny-YOLO and twin network, this method proposes a two-stage learning mode of YOLO-SIMM and designs two versions of YOLO-SiamV1 and YOLO-SiamV2. Through experiments, this method has a general recognition accuracy. However, there is no need for manual marking, and it has a good development prospect in practical popularization and application. In addition, a method for foreign body detection and recognition in food is proposed. This method can effectively separate foreign body from food by threshold segmentation technology. Experimental results show that this method can effectively distinguish desiccant from foreign matter and achieve the desired effect.

Rescue of a patient with a 50 cm broken PICC tube retracted and wrapped in pulmonary artery: a case report

Objective With the increasing use of a peripherally inserted central catheter (PICC) in clinical application, the breaking of the PICC is increasing as well, which would turn into the emboli and drift to the heart and pulmonary artery, causing severe consequences. However, few cases have been reported on the rescue of patients with a broken PICC. Patient concerns A 33-year-old man, diagnosed with chronic hepatitis B-related decompensated cirrhosis and cryptococcal meningitis, was treated with amphotericin B combined with flucytosine and fluconazole by means of PICC catheterization. The patient was discharged with a catheter; when he returned for re-examination, a 50cm length of PICC broke and slipped into the vein after his sudden dysphoria. First aid was immediately administered, and then the intervention therapy to extricate the tube, including pulmonary artery angiography and intravascular removal of foreign matter, was performed based on the consensus of the in-hospital vein treatment group. At last, the broken PICC fragment was successfully taken out of the vessel. Re-examination after surgery showed that he recovered well. Conclusions Once the catheter is broken, the X-ray examination should be performed at the first instance and re-examined frequently. Moreover, the involvement of a multidisciplinary team should be formed to decide the appropriate method of treatment to ensure a successful rescue.

Estimation of Amarogentin content and standardization of different samples of Chirata collected from crude drug markets of Nepal

Background: Amarogentin is a major chemical constituent of bitter principle found in Swertia chirayita (Roxb.ex Fleming) Karsten; family Gentianaceae. Chirata is an endangered species because of it’s over exploitation for pharmaceutical industries. These species are mainly found in the Himalayas and used for gastritis, diabetes, jaundice, urinary disorders, liver disorders, etc. The bitter principle as a main indicator of the medical herb, Nowadays, other species of Swertia are substituted and traded by the name of Chirata. Therefore, the present study was undertaken to estimate Amarogentin and to standardize Chirata samples collected from different markets of Nepal in 2013 A.D. Method and Materials: Different market samples of the species were analyzed for foreign matter, moisture content, extractive values; and bitter principles i.e. Amarogentin by using UFLC at Pacific Analytical Laboratory and Training Center, Lalitpur, Nepal. Result: The findings revealed that foreign matter, moisture content, extractive values; and bitter principles i.e. Amarogentin content varied with different market samples. Methonolic extraction yielded higher percentage of extracts than that of chloroform extraction. Samples including more root and stem, in general, contained higher Amarogentin than samples containing more leaves. The samples containing higher moisture content were lesser in Amarogentin content. The finding of Amarogentin of sample collected from Charikot, Dolkha was 3mg/100gm.Conclusion: In this study, the findings suggest that sample collected from local market of Charikot, Dolkha district was Swertia chirayita and was the best quality.

Edge detection of foreign matter suspension image of high voltage transmission line based on improved Canny operator

In the edge detection of foreign object hanging image of high voltage transmission line, it is easy to appear that multiple responses will appear at one image edge point, which affects the detection effect. Based on the improved Canny operator, an edge detection method for foreign matter suspension image of high voltage transmission line is designed. The collected image is preprocessed in three steps: gray processing, optical correction and noise reduction, so as to better reflect the characteristics of the original image and improve the image quality. The non-uniform distribution of potential energy of foreign body hanging image data field is used to locate the image area of foreign body hanging. The morphological filter can extract the local noise and make the image clearer. The Canny operator is improved to obtain the partial derivative of the distance measurement function and automatically update the threshold to eliminate the multi-level response. The test results show that the method in this paper is better than the image edge detection method based on Canny operator and Sobel operator in three indexes: positive detection rate, false detection rate and missed detection rate.

The illusion of matter, energy, environmental issues

  The subject of this research is the establishment of correlation between the illusion of the world of matter and environmental issues. The object of this research is the concepts of “illusion”, “matter”, and “energy”. The author traces the evolution of representations of the illusion of the world and its perception. The author dwells on the philosophical aspects of quantum physics, questioning the postulates of materialism on the primacy of matter, and acknowledgement of its esthesis by human as the criterion of the only true being. Special attention is given to the role of consciousness in the illusory distortion of matter and quantum field reality, which is substantiated by the complexity of comprehension of multiple quantum phenomena. The author underlines the need for studying the correlation between environmental issues and the processes in quantum field reality. The main conclusion consists in explication of the fact that the material world is perceived delusively by imperfect human sensory receptors, and its very being is somewhat an illusion. For denoting a single substance, the author employs the term “foreign matter”, which implies the imperceptible reality of energy waves of different frequency. A hypothesis of the continual-energy model of atom, which complements the Rutherford discrete-corpuscular planetary model of atom is advanced. The author’s special contribution lies in the statement that the actual causes of many environmental issues should be sought for not in the world of matter, but in the foreign matter of quantum field reality. The novelty consists in the proposal to develop the consciousness of anthropocentrism, naturecentrism, and theocentrism, which prompt the reduction to part (merism), to the whole (holism) or uniform (henotheism) respectively; and the consciousness of post-holism, where the uniform (i.e. energy) is within the whole and each part of the physical world, considering its unique characteristics. It is noted that the worldview of ecocentrism, and ecological version of post-holism form the true environmental picture of the world.