Selection Logic Research Articles

Evaluation and selection of large cardamom supply chain using fuzzy logic based decision‐making model

AbstractLarge cardamom is a high‐value, low‐volume cash crop that is commercially important. The evaluation and selection of suppliers is a complicated and common multi‐criteria decision‐making challenge. Supplier selection becomes more difficult and unpredictable as a result of the necessity for human judgment in many areas of supplier selection, such as preferences for alternatives or supplier qualities. The objective of the study was to evaluate various large cardamom supply chains based on various supply chain quality parameters. The proposed selection strategy used fuzzy logic to identify the best acceptable supplier as well as rank the various supply chain parameters. The major steps of supply chain evaluation by fuzzy modeling involve the calculation of triplets for the score of various supply chains, calculation of triplets for the score of supply chain quality attributes, and calculation of overall membership function on a standard fuzzy scale. The results revealed that the proposed fuzzy logic method was well suited as a decision‐making tool for supplier evaluation. The assessment of various supply chains showed that the best supply chain management method included material moving from producers to consumers through aggregators, commission agents, wholesalers, and retailers. Comparing the overall similarity values of each chosen supply chain, customer satisfaction was ranked top among the quality attributes of the supply chain, followed by external and internal support, internal performance, and strategic and operational coordination. Consumers monitoring the performance of the supply chain can assist in information acquisition, influence the behavior of supply chain participants, and enhance overall performance.Practical applicationSelecting a suitable large cardamom supply chain would provide a solution for regulating the flow of products and information across the supply chain network. Implementing fuzzy logic for preferred supplier selection has a significant impact on the financial perspective. In the fuzzy logic for a large cardamom supply chain, fuzzy sets or membership functions were employed to express input space to output space. Fuzzification was used to transform a vector of crisp input data acquired from a study of a large cardamom supply chain into a vector of equivalent input language variables. The fuzzy output variables are defuzzified in the defuzzification process, and the fuzzy variables are turned into crisp values or crisp output vectors.

Development of a CSRML version of the Analog identification Methodology (AIM) fragments and their evaluation within the Generalised Read-Across (GenRA) approach

The Analog Identification Methodology (AIM) was developed over 20 years ago to identify analogues to support read-across at the US Environmental Protection Agency. However, the current public version of the standalone tool, released in 2012, is no longer usable on Windows operating systems supported by Microsoft. Additionally, the structural logic for analogue selection is based on older, customised Simplified molecular-input-line-entry system (SMILES)-type features that are incompatible with modern cheminformatics tools. Given these limitations, a case study was undertaken to explore a more transparent, extensible method of implementing the AIM fragments using Chemical Subgraphs and Reactions Mark-up Language (CSRML). A CSRML file was developed to codify the original AIM fragments, and the extent to which AIM fragments were faithfully replicated was assessed using the AIM Database. The overall mean performance of the CSRML-AIM across all fragments in terms of sensitivity, specificity, and Jaccard similarity was 89.5%, 99.9%, and 82.2%, respectively. Comparing the AIM fragments with public ToxPrints using a large set of ∼25,000 substances of regulatory interest to EPA found them to be dissimilar, with an average maximum Jaccard score of 0.24 for AIM and 0.29 for ToxPrint fingerprints. Both fragment sets were then used as inputs in the automated read-across approach, Generalised Read-Across (GenRA), to evaluate the quality of fit in predicting rat acute oral toxicity LD50 values with the coefficient of determination (R2) and root mean squared error (RMSE). The performance of AIM fragments was R2=0.434 and RMSE=0.663 whereas that of ToxPrints was R2=0.477 and RMSE=0.638. A bootstrap resampling using 100 iterations found the mean and the 95th confidence interval of R2 to be 0.349 [0.319, 0.379] for AIM fragments and 0.377 [0.338, 0.412] for ToxPrints. Although AIM and ToxPrints performed similarly in predicting LD50, they differed in their performance at a local level, revealing that their features can offer complementary insights.

The front-end electronics upgrade of the CMS ECAL barrel

The barrel part of the CMS electromagnetic calorimeter (ECAL) consists of 61200 PbWO4 crystals coupled to avalanche photodiodes (APDs). A decrease of the ECAL operating temperature from 18 °C to 9 °C is needed to mitigate the increase in APD noise from radiation-induced dark current in the conditions of the high luminosity upgrade of the LHC. Moreover, a full re-design of the front-end electronics has been undertaken in order to deal with the increase of pileup events and to improve the rejection of anomalous signals generated from direct interaction with the APDs. The VFE (Very Front-End) card will be equipped with two new ASICs: a fast trans-impedance amplifier named CATIA as well as a data conversion and compression ASIC named LiTE-DTU. The VFE will interface with the radiation tolerant LpGBT transceiver and the VTRx+ optical board, while trigger primitive generation will be moved off-detector to FPGA-based processors. The CATIA ASIC has a single input and two differential outputs with different gains in order to have better resolution for low energy signals. CATIA is designed in commercial CMOS 130 nm technology and can be controlled via an I2C interface. The LiTE-DTU ASIC embeds two 12-bit 160 MS/s ADCs, a sample selection logic, a lossless compression digital logic, and a 1.28 Gb/s serializer that will directly interface with the LpGBT e-links. LiTE-DTU is designed in commercial CMOS 65 nm technology. It embeds a PLL for the generation of the low jitter 1.28 GHz clock required by the ADCs and the serializer. Both ASICs have been extensively tested in lab and beam tests. This new system has been verified to fulfill the requirements of the experiment in terms of performance and radiation tolerance. The ASICs are now in the pre-production phase.

Modular, Synthetic Boolean Logic Gates Enabled in Saccharomyces cerevisiae through T7 Polymerases/CRISPR dCas9 Designs.

Synthetic control of gene expression, whether simply promoter selection or higher-order Boolean-style logic, is an important tool for metabolic engineering and synthetic biology. This work develops a suite of orthogonal T7 RNA polymerase systems capable of exerting AND/OR switchlike control over transcription in the yeastSaccharomyces cerevisiae. When linked with CRISPR dCas9-based regulation systems, more complex circuitry is possible including AND/OR/NAND/NOR style control in response to combinations of extracellular copper and galactose. Additionally, we demonstrate that these T7 system designs are modular and can accommodate alternative stimuli sensing as demonstrated through blue light induction. These designs should greatly reduce the time and labor necessary for developing Boolean gene circuits in yeast with novel applications including metabolic pathway control in the future.

Attraction versus competition: A tale of two similarity effects in director selection of Chinese firms

Abstract Extant research has focused primarily on the collaborative side of chair-director similarity in director selection, whereas the potential competitive side remains underexplored. Emphasizing the dual role of directors as both collaborators and competitors, as perceived by chairs, we incorporate both the similarity-attraction logic and the similarity-competition logic in director selection and develop a collaborative-competitive framework to reconcile the tension between them. Based on new director selection data from Chinese listed firms, we find that chair-director similarity in the competitive-oriented political background is negatively related to the likelihood of the director being selected—consistent with the similarity-competition logic, whereas chair-director similarity in the collaborative-oriented technological background is positively related to the likelihood of the director being selected—consistent with the similarity-attraction logic. Furthermore, we reveal how the similarity-derived effects are contingent on within-similarity heterogeneity. Our study advances research on director selection by providing a more fine-grained understanding of chair-director similarity in director selection.

Fuzzy based hybrid BAT and firefly algorithm for optimal path selection and security in wireless sensor network

Nodes are deployed randomly in the network area of the WSN. data transmission from source to destination via intermediate nodes should be done in a secure fashion. Due to the large size of packet loss and energy consumption of sensor nodes, a secure and energy-efficient path must be required. The main objective of this research is to provide secure data transmission among node-to-node for efficient delivery of data packets to the destination. The system uses a novel hybrid firefly and BAT algorithm for path selection, an innovative trust value generation, and optimal neighborhood selection using fuzzy logic. The research employs Elliptic Curve Cryptography (ECC) combined with Diffie-Hellman exchange for key generation and key exchange. Path selection is done by fuzzy logic and optimization of selection has been carried out by hybrid BAT and Firefly algorithms. Key generation includes a time-based randomness factor that increases the complexity of cryptanalysis, thereby providing the most security. The performance of the simulation is analyzed and depicted in terms of delay, throughput, energy, and processing time. The research has been carried out using a network simulator with nodes deployed randomly in the network area with mobility as the primary concern that requires dynamic path selection.

The Distribution Model and Spatial Structure of Market Towns in the Pearl River Delta during the Ming, Qing, and Min-Guo Periods: A Case Study of Taishan County

Previous studies have clarified that there are certain regularities in the spatial organization of traditional Chinese rural market towns as viewed from the perspective of the economic geography and local society. Nevertheless, the results of some studies concerning distribution patterns and factors influencing these patterns are contradictory, and there are few comprehensive analyses of the influence of interconnected variables. Taishan County in the Pearl River Delta of Guangdong Province is used as an example, and the results of the identification of the distribution pattern of market towns within this county are determined as clustered by using the Voronoi method and the calculated coefficients of variation (Cv). The correlation between the market towns and the physical and social environment is quantified and illustrated through Geographic Information Systems (GIS), logistic regression analysis, and graphic methods, and the application of nuclear density change rates clarifies the development trajectory, which explains the phenomenon of market town clustering with ecological and cultural significance. Overall, the results indicate traditional preferences for sites characterized by low elevation, little slope, proximity to water, and productive agricultural land, while at the local scale, the spatial–temporal arrangement of market towns reflects partitioning and interactions between distinct clans. Further integrating the perspective of environmental history, we propose that the structural relationships of natural ecology, subsistence mode, and social organization crucially constitute the site selection and layout logic of market towns.

Формирование у обучающихся логических универсальных учебных действий в процессе обучения химии как планируемый результат ФГОС ОО

Within the framework of the article, methodological features of the formation of logical universal educational actions based on the logic of selection and structuring of the content of the section "Organic Chemistry" are considered. Particular attention is paid to the procedure for entering topics. The dynamics of the level of formation of logical universal educational actions among students is demonstrated. Conclusions are drawn about the peculiarities of the formation of logical universal educational actions, taking into account the age of students and the type of educational institution.

Формирование у обучающихся логических универсальных учебных действий в процессе обучения химии как планируемый результат ФГОС ОО

Within the framework of the article, methodological features of the formation of logical universal educational actions based on the logic of selection and structuring of the content of the section "Organic Chemistry" are considered. Particular attention is paid to the procedure for entering topics. The dynamics of the level of formation of logical universal educational actions among students is demonstrated. Conclusions are drawn about the peculiarities of the formation of logical universal educational actions, taking into account the age of students and the type of educational institution.

Design and Implementation of Multiple Music System Based on Internet of Things.

With the rapid development of social economy and Internet of Things, the society has entered the era of networking, digitalization, and intelligence, bringing great convenience to people's life; Internet of Things music system also has begun to get people's extensive attention. Due to the influence of such factors as strong music professionalism, complex music theory knowledge, and diverse changes, it is difficult to identify music features. In order to strengthen the user's personal experience of the music system, the multimusic systems are interconnected through information technology to realize the connection between objects and people. The system uses an embedded processor to realize the central control module and then according to network standard the sensor network is built, through radio frequency identification (RFID) technology for light, sound, infrared sensor, temperature, and other sensors for information reading. Music selection logic is designed based on the theory of music psychology and user behavior log, so as to select the best music for users to improve their mood and improve their life quality and work and study efficiency. At the same time, the system uses voice recognition technology to enhance user interaction, through the system, to provide the website to share their own music data and comments on songs and view song information, and the system runs stably and can collect high quality music signals and correctly identify the characteristics of music form and emotional characteristics.

A 5-GS/s 6-Bit 15.07-mW Flash ADC With Partially Active Second-Stage Comparison and 2× Time-Domain Interpolation

This article presents a 5-GS/s 6-bit flash analog-to-digital converter (ADC) in a 28-nm fully depleted silicon-on-insulator (FDSOI) CMOS process. The ADC jointly employs partially active second-stage comparison and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2\times $ </tex-math></inline-formula> time-domain latch interpolation (TDI) to reduce power consumption and avoid extensive calibrations. To enhance the conversion speed of the second-stage structure, the stringent timing constraint is resolved by a 25%–75% duty-cycle clock scheme, a 0.5-bit redundancy in the first comparison stage, and an embedded second-stage slice selection logic. The bandwidth requirements of the track-and-hold (T/H) and T/H buffer under the 25%–75% duty-cycle clock are analyzed. An on-chip successive-approximation (SA)-based comparator offset calibration scheme utilizing FDSOI back-gate bias is also developed, providing sufficient calibration range without impairing comparator speed. The measured prototype achieves a signal-to-noise and distortion ratio (SNDR) of 32.8 dB and a spurious-free dynamic range (SFDR) of 41.82 dB at Nyquist frequency while consuming 15.07 mW power, translating into a Walden figure-of-merit (FOM) of 84.5 fJ/conversion-step.

A Study on the Relationship between Artificial Intelligence and 5G Network Construction and the Level of Economic Development of Regional Cities

Urban digital governance represented by digital city and smart city is becoming an important direction of urban agglomeration development. It is necessary to reexamine the internal relationship mechanism between local government digital action and regional governance behavior. Based on the theory of collective action and network governance, this paper discusses how the economic development level of local government interacts with the cooperative network status of urban agglomeration and affects the tendency of digital governance strategy of local government. By constructing the configuration matrix of “economic development level” and “cooperative network status” of local governments in urban agglomerations, this paper extracts the possible “center” and “follow” governance strategies that local governments in different configurations may adopt in the digital field. The ant colony optimization algorithm proposed in this paper consists of two parts—ACO initialization and ACO optimization. ACO initialization describes how to map the path of ants to the solution of the problem, that is, the combination of orders. In addition, ACO initialization will also define and initialize the pheromone and heuristic information model compatible with the solution. ACO optimization updates the pheromone model to heuristic guide ants to build paths, so as to iteratively find the optimal solution. The case study of 26 cities in the Yangtze River Delta of China shows that most of the digital governance strategies of local governments are in line with the selection logic of their configuration status of “economic level network status”. The study results proved that the proposed model has provided effective accuracy of 96%. However, driven by selective returns, there are still some “abnormal” governance tendencies.

Area Efficient Diminished 2n-1 Modulo Adder using Parallel Prefix Adder

Residue Number System has to carry free operation and its various applications like digital signal processing, multimedia, security purpose, and medical perception. Removes of the redundant logic operation require the group carry selection logic which is dependent on Parallel Prefix Adder design. Therefore the logic operation of the preprocessing unit of PPA is simplified form to save logic resources. This modified parallel prefix adder consumes less area as compared to the existing design. In this paper, we propose the parallel architecture based on a parallel prefix tree is helpful for computation at higher speed operation. The reported design consumes 24.1% more area and 26.4% more power compare to THE proposed parallel prefix adder design. The proposed PPA design using modified carry computation algorithm and reported design used diminished-1 modulo 2n+1 adder structure is presented. A presented modulo adder design using the proposed parallel prefix adder and improved carry computation used in the previously proposed design. The proposed diminished-1 modulo (2n +1) adder design shows a 24.5% saving in area-delay-product (ADP).

Microwave-Assisted Synthesis of Silver Nanoparticles for Multimode Colorimetric Sensing of Multiplex Metal Ions and Molecular Informatization Applications.

Plasmonic materials have been widely used in chemo/biosensing and biomedicine. However, little attention has been paid to the application of plasmonic materials in terms of the transition from molecular sensing to molecular informatization. Herein, we demonstrated that silver nanoparticles (AgNPs) prepared through facile and rapid microwave heating have multimode colorimetric sensing capabilities to different metal ions (Cr3+, Hg2+, and Ni2+), which can be further transformed into interesting and powerful molecular information technology (massively parallel molecular logic computing and molecular information protection). The prepared AgNPs can quantitatively and sensitively detect Cr3+ and Hg2+ in actual water samples. The AgNPs' multimode-guided multianalyte sensing processing was further investigated to construct a series of basic logic gates and advanced cascaded logic circuits by considering the analytes as the inputs and the colorimetric signals (like color, absorbance, wavelength shift) as the outputs. Moreover, the selective responses and molecular logic computing ability of AgNPs were also utilized to develop molecular cryptosteganography for encrypting and hiding some specific information, which proves that the molecular world and the information world are interconnected and use each other. This research not only opens the door for the transition from molecular sensing to molecular informatization but also provides an excellent opportunity for the construction of the "metaverse" of the molecular world.

A Systematic Pipelaying Control Method Based on the Sliding Matrix for Dynamically Positioned Surface Vessels

A pipelaying control method is presented in this paper which includes path planning, path guidance, and path tracking controller for dynamically positioned (DP) surface vessels based on the characteristics of the predefined path in marine pipelaying operation. The pipelaying control method depends on path coding, path selection logic system, and a sliding matrix. The sliding matrix contains a vessel local path and its specified control requirements, which can be updated by sliding down the waypoint table line by line as the vessel is traveling from one path to the next. A line of sight (LOS) algorithm is developed to calculate the desired vessel position and heading on a circular arc path. The motion controller, which can simultaneously control the vessel speed at the directions of surge and sway, is designed by decomposing the desired inertial resulting velocity into the desired body velocity components. A DP simulator for pipelaying operation is developed, and in order to verify the proposed method, a pipelaying simulation is carried out. The simulation results show that the proposed method enables the vessel to move along the desired path while maintaining a set crab angle, a specified speed, and a turning radius. The pipeline can be laid onto the specified waypoints even when the vessel is subjected to drift forces caused by ocean currents, wind, and waves.

Cultural orientations and their influence on social behaviour: Catalysation and suppression

AbstractIt is argued that the model of frame selection as a specific version of the dual‐process perspective provides a clear theoretical conceptualisation of the mechanisms by which cultural orientations such as values, attitudes, and internalised norms influence social behaviour. In particular, the model of frame selection allows the derivation of two fundamental action‐theoretical principles. According to the principle of catalysation, situationally relevant cultural orientations have a greater impact on social behaviour, if the behaviour comes about in an intuitive rather than a reflective manner. The principle of suppression states that external factors of the objective situation, which lack salience with respect to situationally relevant cultural orientations, have a greater impact on reflective rather than intuitive behaviour. These two principles can be combined with the so‐called logic of mode selection to derive a multitude of empirically testable hypotheses regarding the question of how motivational factors such as thinking dispositions and feeling of rightness as well as cognitive resources such as time for reflection and availability of working memory moderate the influence of cultural orientations on behaviour.

EXPERIMENTAL SYSTEM OF VOCATIONAL TRAINING OF PHYSICAL CULTURE TEACHERS FOR ORGANIZATION PUPILS’ INDIVIDUAL WORK

Article outlines methods of introduction of experimental system of vocational training of future physical culture teachers for organization of individual work with pupils. It has been underlined that introduction of the developed system provided for the reasonable selection, structuring and construction of the content of study material in selected disciplines taking into account a purposeful influence on the formation of each component of readiness of future physical culture teachers for organization of individual work with pupils. In the process of research and experimental work it was taking into account that under the selection and structuring of the content of academic disciplines should be understood: strict definition of structure elements that make up the discipline; applying the procedures of optimization for each of these structural elements; establishing and maintaining in optimal state connections and interrelations between elements of the structure of academic discipline in accordance to the integrative criteria for evaluating the effectiveness of its construction. Methodical peculiarities of introduction of the developed system have been outlined. Realization of experimental system of vocational training of future physical culture teachers for organization of individual work with pupils was carried out on the basis of a number of fundamental postulates – principles. Given the complexity and versatility of the process of vocational training of future physical culture teachers for organization of individual work with pupils, principles of research activities have been systematized into some complex. In particular, it was decided to structure the principles into three blocks, each of them regulates the experimental activity or specifies the logic of selection of the essence of certain elements of the author’s pedagogical system.

Fuzzy Logic for Underground Mining Method Selection

The Selection of the mining method for underground minerals extraction is the crucial task for the mining engineers. Underground minerals extraction is a multi-criteria decision making problem due to many criteria to be considered in the selection process. There are many studies on selection of underground mining method using Multi Criteria Decision Making (MCDM) techniques or approaches. Extracting minerals from the underground involves many geological characteristics also called as input parameters. The geological characteristics of any mineral deposit vary from one location to another location. Thus only one mineral extraction method is not suitable for different deposit characteristics. There are many mineral extraction methods available for different characteristics of the ore deposit. As of now only MCDM approach or Hybrid MCDM approaches or MCDM approaches with fuzzy logic were used for selecting a mining method for underground metal mine. In this study, only fuzzy logic approach is used for selecting a mining method for different deposit characteristics. The proposed model considers five deposit characteristics as input parameters and seven underground mining methods output parameters The developed fuzzy logic based approach is also validated by the deposit characteristics of two Indian mines. The model produced the suitable mining method for extraction of the minerals at the specified Indian mines and the same mining methods are used by the mine authorities.

Design and Implementation of ALU Using Graphene Nanoribbon Field‐Effect Transistor and Fin Field‐Effect Transistor

Arithmetic and logical unit (ALU) are the core operational programmable logic block in microprocessors, microcontrollers, and real‐time‐integrated circuits. The conventional ALUs were developed using complementary metal oxide semiconductor (CMOS) technology, which resulted in excessive power consumptions, path delays, and number of transistors. Therefore, this article focuses on the design and development of hybrid delay‐controlled reconfigurable ALU (DCR‐ALU) using field‐effect transistor (FinFET) and graphene nanoribbon field‐effect transistor (GnrFET) technologies. Initially, a novel carry output predictable full adder (COPFA) and carry input selectable full adders (CISFA) are developed using multiplexer selection logic; then, delay‐controlled hybrid adder (DCHA) and delay‐controlled hybrid subtractor (DCHS) are developed using these full adders. In addition, a unified delay‐controlled hybrid adder and subtractor (DCHAS) is developed by combining these DCHA and DCHS. Further, a delay controller array multiplier (DCAM) also developed using DCHA modules. Finally, DCR‐ALU is developed by adopting the DCHAS, DCAM, and logical operations. The obtained simulation results shows that the proposed nanotechnology‐based models outperformed the conventional adders and subtractors in terms of area, power, and delay reduction.

A Review of the Participant Observation Method in Journalism: Designing and Reporting

The participant observation method involves numerous methodological competencies and procedures, yet no systematic research has been found to date that evaluates the qualitative practice. The method has played a foundational role in the field of journalism and is growing in use among researchers. Despite its contributions to knowledge about organizations, movements, and cultures, the procedures that encompass the method may be unfamiliar or unclear for some researchers according to the literature. The study analyzed journalism researchers’ reporting of methodological information in studies involving news contexts and assessed scholars’ adherence to methodological reporting best practices in 150 journal articles. The results showed participant observation researchers employed data trustworthiness techniques by primarily using qualitative formal interviews and they also provided site selection logic. The results, however, also showed evidence of methodological conceptual ambiguity when referring to participant observation method techniques and low reporting of several specific recommended techniques associated with participation observation. The narrative reflects our desire to help other researchers learn more about the method, while also encouraging methodological transparency to improve the collective understanding of the method. We put forth eight participant observation reporting recommendations rooted in anthropology and sociology to consider when reporting methodological practices. The hope is this introduction and the proposed measures will initiate discussions and support community around the practice of participant observation.