Automatic Extraction of Damaged Houses by Earthquake Based on Improved YOLOv5: A Case Study in Yangbi

Efficiently and automatically acquiring information on earthquake damage through remote sensing has posed great challenges because the classical methods of detecting houses damaged by destructive earthquakes are often both time consuming and low in accuracy. A series of deep-learning-based techniques have been developed and recent studies have demonstrated their high intelligence for automatic target extraction for natural and remote sensing images. For the detection of small artificial targets, current studies show that You Only Look Once (YOLO) has a good performance in aerial and Unmanned Aerial Vehicle (UAV) images. However, less work has been conducted on the extraction of damaged houses. In this study, we propose a YOLOv5s-ViT-BiFPN-based neural network for the detection of rural houses. Specifically, to enhance the feature information of damaged houses from the global information of the feature map, we introduce the Vision Transformer into the feature extraction network. Furthermore, regarding the scale differences for damaged houses in UAV images due to the changes in flying height, we apply the Bi-Directional Feature Pyramid Network (BiFPN) for multi-scale feature fusion to aggregate features with different resolutions and test the model. We took the 2021 Yangbi earthquake with a surface wave magnitude (Ms) of 6.4 in Yunan, China, as an example; the results show that the proposed model presents a better performance, with the average precision (AP) being increased by 9.31% and 1.23% compared to YOLOv3 and YOLOv5s, respectively, and a detection speed of 80 FPS, which is 2.96 times faster than YOLOv3. In addition, the transferability test for five other areas showed that the average accuracy was 91.23% and the total processing time was 4 min, while 100 min were needed for professional visual interpreters. The experimental results demonstrate that the YOLOv5s-ViT-BiFPN model can automatically detect damaged rural houses due to destructive earthquakes in UAV images with a good performance in terms of accuracy and timeliness, as well as being robust and transferable.

Dopamine, Cognitive Flexibility, and IQ: Epistatic Catechol-O-MethylTransferase:DRD2 Gene–Gene Interactions Modulate Mental Rigidity

Cognitive flexibility has been hypothesized to be neurochemically rooted in dopamine neurotransmission. Nonetheless, underpowered sample sizes and contradictory meta-analytic findings have obscured the role of dopamine genes in cognitive flexibility and neglected potential gene–gene interactions. In this largest neurocognitive-genetic study to date (n = 1400), single nucleotide polymorphisms associated with elevated prefrontal dopamine levels (catechol-O-methyltransferase; rs4680) and diminished striatal dopamine (C957T; rs6277) were both implicated in Wisconsin Card Sorting Test performance. Crucially, however, these genetic effects were only evident in low-IQ participants, suggesting high intelligence compensates for, and eliminates, the effect of dispositional dopamine functioning on flexibility. This interaction between cognitive systems may explain and resolve previous empirical inconsistencies in highly educated participant samples. Moreover, compensatory gene–gene interactions were discovered between catechol-O-methyltransferase and DRD2, such that genotypes conferring either elevated prefrontal dopamine or diminished striatal dopamine—via heightened striatally concentrated D2 dopamine receptor availability—are sufficient for cognitive flexibility, but neither is necessary. The study has therefore revealed a form of epistatic redundancy or substitutability among dopamine systems in shaping adaptable thought and action, thus defining boundary conditions for dopaminergic effects on flexible behavior. These results inform theories of clinical disorders and psychopharmacological interventions and uncover complex fronto-striatal synergies in human flexible cognition.

A Conversation History-Based Q&A Cache Mechanism for Multi-Layered Chatbot Services

Chatbot technologies have made our lives easier. To create a chatbot with high intelligence, a significant amount of knowledge processing is required. However, this can slow down the reaction time; hence, a mechanism to enable a quick response is needed. This paper proposes a cache mechanism to improve the response time of the chatbot service; while the cache in CPU utilizes the locality of references within binary code executions, our cache mechanism for chatbots uses the frequency and relevance information which potentially exists within the set of Q&A pairs. The proposed idea is to enable the broker in a multi-layered structure to analyze and store the keyword-wise relevance of the set of Q&A pairs from chatbots. In addition, the cache mechanism accumulates the frequency of the input questions by monitoring the conversation history. When a cache miss occurs, the broker selects a chatbot according to the frequency and relevance, and then delivers the query to the selected chatbot to obtain a response for answer. This mechanism showed a significant increase in the cache hit ratio as well as an improvement in the average response time.

An Improved High-Intelligence Method of Gas and Oil Pipeline Prewarning System in Real Soil Environment

With the development of technology, the total extent of global pipeline transportation is also increased. However, the traditional long-distance optical fiber prewarning system has poor real-time performance and high false alarm rate when recognizing events threatening pipeline safety. The same vibration signal would vary greatly when collected in different soil environments and this problem would reduce the signal recognition accuracy of the prewarning system. In this paper, we studied this effect theoretically and analyzed soil vibration signals under different soil conditions. Then we studied the signal acquisition problem of long-distance gas and oil pipeline prewarning system in real soil environment. Ultimately, an improved high-intelligence method was proposed for optimization. This method is based on the real application environment, which is more suitable for the recognition of optical fiber vibration signals. Through experiments, the method yielded high recognition accuracy of above 95%. The results indicate that the method can significantly improve signal acquisition and recognition and has good adaptability and real-time performance in the real soil environment.

Genome Sequence between Human and Chimpanzee

Human evolution is a very complicated and lengthy process. Around six million years ago, humans were still apelike creatures. However, in modern times, humans have already evolved into a species called homo sapiens. The first species which shows human traits are bipedalism; they can walk on two legs. There are about 12-15 different early human species, but not all of them lived till today. It is well known that chimpanzees and humans shared a common ancestor six to seven million years ago. Chimpanzees are genetically closest to humans; they share about 96% of Human DNA sequences [1]. However, during evolution, chimpanzees and humans diverged into two different paths and finally demonstrated other behavior and into two completely different species. Modern-day humans can develop society and show high intelligence. However, for chimpanzees, they are still at a phase where they only demonstrate animal behavior. Chimpanzees and humans developed completely different behavior not only due to the different environments they lived in, but also due to the gene differences.

The Concept of Emotional Intelligence - A Neglected Grey Area in Medical Curriculum

motional intelligence (EI) is the mixture of intellect and emotions. A highly emotional intelligent person showcases the ability to control, understand and being in other’s shoes during the time of difficulties. The EI concept is extremely relevant in health care settings. The concept takes in the art of self-awareness, self-regulation, motivation, empathy, and social skills. These concepts in one way or the other help in rearing, mentoring, and reaching the heights of professionalism among medical students. The health care workers particularly doctors needed to be emotionally intelligent and should have maximum of it for effective outcomes and patient satisfaction. The current situation mandates the medical curriculum to have more of emotionally intelligent medical professionals than those with high intelligence quotient. The recent rise of dispute in health care field may be due to the reduction in emotional intelligence which triggers unhealthy recognition of emotions towards patients and bystanders. The need for the current digital and restricted mindset generation is to impart more of values and thus control and regulate one’s own emotions. The study showcases various components, effects, and importance of emotional intelligence and also reviews few studies done on the topic with a special note on its importance in the current situation of Covid pandemic.

A comparative analysis of the intellectual–mental disorders in patients with brain gliomas and meningiomas after surgical treatment

We performed study of 61 patients with brain glioma and meningioma. The diagnosis of the studied patients was based on clinical and laboratory data, data of radiation and instrumental methods of research. The analysis of patientsquality of life was carried out in the preoperative and early, late postoperative periods. The patient age ranged from 25 to 65 years; the median age was 56,5 year. We used the intelligence tests (Amthauer test (for persons under 60 years), Raven test); memory tests (10 word memorization test, Wechsler memory scale). Results. Regression of mnestic disorders after surgery was found in both groups. Three months after surgery — mnestic disorders were observed in 96.7 % of subjects with glioma, and in 64.5 % — of meningioma. After 3–6 months, the number of patients with high intelligence in both groups increased (from 32.3 % to 45.2 % — in patients with glioma and from 30 % to 40 % among meningioma patients). Conclusion. On examination of intelligence and memory before and resection brain glioma and meningioma, it was found that surgical intervention leads to regression of intellectual and memory impairments. English version of the article on pp. 651-659 is available at URL: https://panor.ru/articles/sravnitelnyy-analiz-intellektualno-mnesticheskikh-narusheniy-u-bolnykh-s-gliomami-i-meningiomami-golovnogo-mozga-posle-operativnogo-lecheniya/70264.html

Humanoid Robotics

An automaton may be a automaton with its body form designed to give the body. the look could also be for purposeful functions, like interacting with human tools and environments, for experimental functions, like the study of two-footed locomotion, or for alternative functions. In general, automaton robots have a body, a head, two arms, and 2 legs, though' some sorts of automaton robots could model solely a part of the body, for instance, from the waist up. Some automaton robots even have heads designed to duplicate human face expression like eyes and mouths. Androids area unit automaton robots designed to aesthetically gibe humans. Humanoid robots square measure expected to exist and add a detailed relationship with people at large |individuals| personalities} within the everyday world and to serve the wants of physically unfit people. These robots should be ready to address the wide range of tasks and objects encountered in dynamic unstructured environments. robot robots for private use for old and disabled folks should be safe and simple to use. Therefore, robot robots would like a light-weight body, high flexibility, several forms of sensors and high intelligence. The victorious introduction of those robots into human environments can have confidence the event of human friendly part

Profil Keterampilan Memecahkan Konflik Interpersonal Siswa Berbakat Istimewa di SMA Kota Malang

Gifted and talented students have very distinctive characteristics, namely having high intelligence, task commitment, and creativity. Some of these points then raise questions about how their social skills are, especially regarding interpersonal conflict solving skills. Often the advantages in the intellectual field make the assumption that the social skills of gifted and talented students are lacking. This study aims to determine the profile of interpersonal conflict solving skills of gifted and talented students at SMAN Kota Malang. The research approach used a quantitative research approach with survey research techniques and total sampling techniques. The sample used was 162 students. The research instrument used a scale of interpersonal conflict solving skills that had been tested for validity and reliability. The results showed that the most gifted and talented students' interpersonal conflict solving skills at SMAN in Malang were in the high category, namely 76%. The very high category was 22%, the moderate category was 2%, and the low and very low category was 0%. The results of this study can be used by counseling teachers in planning counseling services for gifted and talented students. Keyword: interpersonal conflict resolution skills, gifted and talented students