Design of Psychological Consultation System Based on Weighted Fuzzy Hybrid Algorithm

In order to overcome the problems of low security and high message delay in traditional counseling systems, this article designs and proposes a new counseling system based on the weighted hybrid algorithm. According to the principle of system design, the system architecture diagram and system role are designed. In the hardware part of the system, the user management module, online consultation module, and knowledge base module are designed to realize the psychological consultation function of the system. In the software part, the weighted hybrid algorithm is used to divide the psychological information state of the consultants effectively. Combined with the hardware and software of the system, the overall design of the system is completed. The experimental results show that, compared with the traditional consulting system, the designed system can effectively ensure the information security of consultants and reduce the message delay of the system, which has higher practical application value.

Praktikalitas Modul Asam Basa Berbasis Inkuiri Terbimbing Kelas XI MIPA

This study aims to determine the practicality of the guided inquiry-based acid-base module in class XI MIPA. This study uses a plomp development model consisting of 3 stages, namely initial research, prototype development, and the assessment stage. The instrument used in the practicality test is in the form of a questionnaire given to teachers and students. The practicality value is calculated by using Aiken V formula. The result of this study indicates that the module developed has a practical value of 0,89 with a high category.

The 35th Anniversary of the Launch of Mir’s First Module: Main Results of Applied Scientific Research and Experiments Carried Out Onboard the Manned Orbital Complex.

For 15 years (1986–2001) the orbital station “Mir” served as the only manned space laboratory for long-term scientific and technical experiments and human body research in space. This multipurpose international complex began to op-erate on February 20, 1986 when its base module was placed into orbit. The re-sults, obtained during that period, have made a great contribution to domestic fundamental science and today they are of great practical value for various sectors of the national economy, education, health care, and development of space vehicles.

Arterial-Friendly Local Ramp Metering Control Strategy

To prevent local streets being blocked by overflowing on-ramp queues, a standard practice of ramp metering control is to restrain its function when a series of preset conditions are identified by on-ramp queue detectors. Such a trade-off between potential ramp queue spillback and the restraint resulting from the operation of metering control may often fail to either effectively mitigate bottlenecks caused by on-ramp waving or convince arterial users and local traffic agencies of the need for ramp metering operations. This study, therefore, presents an arterial-friendly local ramp metering system (named AF-ramp) that can achieve the target metering rate to produce optimal freeway conditions without ramp queues spilling back onto local streets. This is achieved by concurrently optimizing the signal plans for those intersections that send turning flows to the ramp. At this stage, this system has been developed for time-of-day control. It could also serve as the base module for extending to real-time control, or multi-ramp coordinated operations. The AF-ramp model, with its ability to optimize the arterial signals concurrently with the ramp metering rate, can ensure the best use of the capacity of local intersections and prevent any gridlock caused by overflows from on-ramp queue spillback or arterial turning traffic. With extensive simulation experiments, the evaluation results confirmed the AF-ramp model’s effectiveness in improving traffic conditions on both the freeway and its neighboring arterial links at the same time. This study has also introduced the real-time extension of the proposed model and a framework of a transition from the time-of-day control to fully responsive real-time operations.

MODULAR MACHINE FOR OIL-BEARING ROSE PRODUCTION

The cultivation of oil-bearing roses requires signifi cant labor and energy resources. The research aims to develop a multifunctional farm implement to mechanize technological operations in rose-growing on small and medium-sized farms. The modular farm implement includes a platform-type base module. Depending on the technological operation performed, it incorporates a spraying system, pneumatic pruning system, side panels, or two workplaces for rose pickers. Using computer simulation with a simulation model created using the “Solid Works” software package, the author determined the profi les and the type of materials for the base module production. Graphoanalytical models help establish the parameters of the other modules of the modular machine. The conducted experimental tests proved the constructive strength of the technical solutions and the functional suitability of the modular machine. It was found that in oil-bearing rose plantations, the farm implement performs spraying at the consumption rates of 300…400 l/ha for treatment of the soil surface area under the rose bushes and 1000 l/ha and more for disease and pest control, foliar feeding, and other activities. The variant of the modular machine for selective pruning is ergonomic and effi cient at a maximum cut diameter of up to 25 mm and pressure in the tractor pneumatic system between 0.3…0.73 MPa. The highest eff ect of mechanized oil-bearing rose harvesting with the modular machine could be achieved in well-maintained plantations. The optimal height of the bushes should be 1.5…1.6 m, and the operation should be performed in the period of active fl owering (after 4-5 years of planting or rejuvenation). It is also possible to use the modular machine for transportation purposes. Experimental tests of the developed modular machine for oil-bearing rose production proved the constructive strength of the technical solutions and its functional

PHYSIOLOGICAL ASPECT OF SAMANYA VISHESHA SIDDHANTA & ITS SIGNIFICANT ROLE IN TRIDOSHA

Ayurveda is a holistic science and is taken as the base module for other sciences. In Ayurveda, the span of life is described to be determined on the basis of nature of the physique, type of constitution. The aim of Ayurveda is to maintain the proper equilibrium of Dosha, Dhatu, and Mala constituent in order to preserve health in a healthy person and cure a disease in a diseased person. Every medical stream has its own sci-ence in which its matter is developed, evolved and explained. Ayurveda is based on peculiar fundamental principles like Triguna Tridosha theory, Panchamahabhuta theory, Prakriti Ojas, Dhattu, Mala, Agni, Ma-nas, Atma, Samanya Vishesha etc. Among these, Samanya Vishesha principle is one of those which play a key component in Ayurvedic treatment. The term Samanya implies similarity & uniformity or the one which causes increase in substance. While the term Vishesha says about dissimilarity or non-uniformity or the one which causes decreases in substances. According to Ayurveda, the disease occurs in the body ei-ther due to increase or decrease of Doshas & Dhatus which disturb the equilibrium state of body when these Doshas are brought to their equilibrium healthy status is attained. The healthy status is attained through the application of Samanya Vishesha principle. The Samanya Vishesha principle strengthens the Doshas that have become weak (by its similarities) and reduce Doshas which are increased (by its dissimi-larities) causing imbalance. This principle is useful for the recommendation to be given for healthy person and in treating diseases. So, the Samanya & Vishesha Siddhanta play an important role in treating diseases & has become a fundamental principle for Ayurvedic management.

Structure of the yeast Swi/Snf complex in a nucleosome free state

SWI/SNF remodelers play a key role in regulating chromatin architecture and gene expression. Here, we report the cryo-EM structure of the Saccharomyces cerevisiae Swi/Snf complex in a nucleosome-free state. The structure consists of a stable triangular base module and a flexible Arp module. The conserved subunits Swi1 and Swi3 form the backbone of the complex and closely interact with other components. Snf6, which is specific for yeast Swi/Snf complex, stabilizes the binding of the ATPase-containing subunit Snf2 to the base module. Comparison of the yeast Swi/Snf and RSC complexes reveals conserved structural features that govern the assembly and function of these two subfamilies of chromatin remodelers. Our findings complement those from recent structures of the yeast and human chromatin remodelers and provide further insights into the assembly and function of the SWI/SNF remodelers.

A Heterogeneous Ensemble Learning Framework for Spam Detection in Social Networks with Imbalanced Data

The popularity of social networks provides people with many conveniences, but their rapid growth has also attracted many attackers. In recent years, the malicious behavior of social network spammers has seriously threatened the information security of ordinary users. To reduce this threat, many researchers have mined the behavior characteristics of spammers and have obtained good results by applying machine learning algorithms to identify spammers in social networks. However, most of these studies overlook class imbalance situations that exist in real world data. In this paper, we propose a heterogeneous stacking-based ensemble learning framework to ameliorate the impact of class imbalance on spam detection in social networks. The proposed framework consists of two main components, a base module and a combining module. In the base module, we adopt six different base classifiers and utilize this classifier diversity to construct new ensemble input members. In the combination module, we introduce cost sensitive learning into deep neural network training. By setting different costs for misclassification and dynamically adjusting the weights of the prediction results of the base classifiers, we can integrate the input members and aggregate the classification results. The experimental results show that our framework effectively improves the spam detection rate on imbalanced datasets.

Structure of nucleosome-bound human BAF complex

Mammalian SWI/SNF family chromatin remodelers, BRG1/BRM-associated factor (BAF) and polybromo-associated BAF (PBAF), regulate chromatin structure and transcription, and their mutations are linked to cancers. The 3.7-angstrom-resolution cryo–electron microscopy structure of human BAF bound to the nucleosome reveals that the nucleosome is sandwiched by the base and the adenosine triphosphatase (ATPase) modules, which are bridged by the actin-related protein (ARP) module. The ATPase motor is positioned proximal to nucleosomal DNA and, upon ATP hydrolysis, engages with and pumps DNA along the nucleosome. The C-terminal α helix of SMARCB1, enriched in positively charged residues frequently mutated in cancers, mediates interactions with an acidic patch of the nucleosome. AT-rich interactive domain-containing protein 1A (ARID1A) and the SWI/SNF complex subunit SMARCC serve as a structural core and scaffold in the base module organization, respectively. Our study provides structural insights into subunit organization and nucleosome recognition of human BAF complex.

Characterization of Key Aroma Compounds and Construction of Flavor Base Module of Chinese Sweet Oranges

Sweet orange flavor, with its refreshing, joyful and attractive aroma, is favored by the majority of consumers all over the world. However, the industry terminology between flavorists for flavor evaluation is a bit vague and not intuitive for customers. Therefore, the study focused on analysis of sweet orange aroma and establishment of base module of orange flavor. The approach to the research involves screening key aroma compounds, identifying the attributes aroma and building base module of sweet orange. The notes of sweet orange flavor were determined by GC-O olfaction and sensory evaluation. 25 key aroma compounds with OAV ≥ 1 were screened and divided into eight notes: citrus, fruity, fresh, green, peely, woody, fatty, floral. Partial least squares regression (PLSR) was used to further verify the corresponding relationship between the volatile substances and notes. Terpenes, esters, aldehydes and alcohols compounds can provide these notes. Based on the notes, 8 base modules of sweet orange were built by selecting and matching aroma ingredients. Through this study, beginners could be trained according to the 8 notes of base modules and flavorists can engage in dialogue with different raw material sourcing teams or providers.