Logical Judgment Research Articles

N-level complex helical structure modeling method

This paper primarily explores the modeling method of n-level complex helical structures with coal mining machine cables as the research object. The paper first elaborately introduces the modeling method of n-level helix curves based on parametric equations and coordinate transformations, and compensates for the n-level helix curves with corrected pitch, which can obtain more accurate n-level helix curves and improve the accuracy of n-level helix curves modeling. Subsequently, based on this high-precision n-level helix curves modeling method, the paper elaborates on the method of solving pitch and twisting radius of multi-layer helical structure. Calculation scripts were written based on the above methods, which can be used to batch calculate the twisting radius and pitch of each layer structure in multi-layer structures when satisfying the conditions of in-layer tangency, inter-layer tangency, and extrusion deformation, and retain the actual results through logical judgment. Then, based on the above two methods, the paper developed a modeling method for braided structures based on piecewise functions containing fifth-order polynomials, which can effectively avoid the problem of insufficiently dense arrangement of braided lines and easy interference in traditional methods. Finally, a set of modeling tools was developed using C# and Python in Grasshopper to implement the modeling algorithm. Taking the MCPT-1.9/3.3 3120 + 170 + 4 * 10 coal mining machine cable as an example. The cable was modeled using both the method proposed in this paper and the traditional method. Comparative data shows that the method proposed in this paper can reduce errors by 3.31E6 times in the second-level and above helical structures. In addition this paper compares the standard line length, measured line length, and the line length established by the proposed model, showing that the relative errors are both less than 0.1941%. This paper provides a new, systematic, high-precision, and full-process cable modeling method, in which all parameters except the process parameters are accurately solved by equations. It lays a theoretical foundation for the high-precision simulation and intelligent sensing cables, which is of great significance for improving the safety, stability, and efficient development of the coal mining industry. The research results of the paper can not only be applied to the modeling of coal mining machine cables but also can be extended to the modeling of other complex multi-layer helical structures.

Design of Ultra-Compact and Multifunctional Optical Logic Gate Based on Sb2Se3-SOI Hybrid Platform.

Optical logic devices are essential functional devices for achieving optical signal processing. In this study, we design an ultra-compact (4.92 × 2.52 μm2) reconfigurable optical logic gate by using inverse design method with DBS algorithm based on Sb2Se3-SOI integrated platform. By selecting different amorphous/crystalline distributions of Sb2Se3 via programmable electrical triggers, the designed structure can switch between OR, XOR, NOT or AND logic gate. This structure works well for all four logic functions in the wavelength range of 1540-1560 nm. Especially at the wavelength of 1550 nm, the Contrast Ratios for XOR, NOT and AND logic gate are 13.77 dB, 11.69 dB and 3.01 dB, respectively, indicating good logical judgment ability of the device. Our design is robust to a certain range of fabrication imperfections. Even if performance weakens due to deviations, improvements can be obtained by rearranging the configurations of Sb2Se3 without reproducing the whole device.

Stable Europium(III) Metal-Organic Framework Fluorescence Probe for Intelligent Visualization Detection of Gossypol and Nitrofuran Antibiotics in Real Samples.

Gossypol (Gsp) and antibiotics present in water bodies become organic pollutants that are harmful to human health and the ecological environment. Accurate and effective detection of these pollutants has far-reaching significance in many fields. A new three-dimensional metal-organic framework (MOF), {[Eu3(L)2(HCOO-)(H2O)3]·2H2O·2DMF}n (Eu-MOF), was synthesized from 3,5-bis(2,4-dicarboxylphenyl)nitrobenzene (H4L) ligand and Eu3+ via the solvothermal method in this paper. The Eu-MOF demonstrates strong red fluorescence and can remain stable in different pH solutions. The MOF fluorescence probe could detect organic pollutants through the "shut-off" effect, with a fast response speed and a low detection limit [Gsp, nitrofurantoin (NFT), and nitrofurazone (NFZ) for 0.43, 0.38, and 0.41 μM, respectively]. During the testing process, Eu-MOF exhibited good selectivity and recoverability. Furthermore, the mechanism of fluorescence quenching was investigated, and the recoveries were also good in real samples. This paper introduced a deep learning model to recognize the fluorescence images, a portable intelligent logic detector designed for real-time detection of Gsp by logic gate strategy, and an anticounterfeiting mark prepared based on inkjet printing. Importantly, this work provides a new way of thinking for the detection of organic pollutants in water with high sensitivity and practicality by combining the fluorescence probe with machine learning and logical judgment.

Practical and theoretical judgment in data-driven financial due diligence

PurposeNew digital technologies are reshaping the business landscape and accounting work. This paper aims to investigate how incorporating more data and new data analytics (DA) tools impacts the role and use of judgment in financial due diligence (FDD).Design/methodology/approachThe paper reports findings from a field study at a Big Four accounting firm in Sweden (“DealCo”). The primary data includes semi-structured interviews, observations and other meetings. Theoretically, it draws on Dewey’s The Logic of Judgments of Practise and Logic: The Theory of Inquiry and distinguishes between theoretical (what is probably true) and practical judgment (what to do).FindingsIn DealCo’s FDD practice, using more data and new DA tools meant that the realm of possibility had expanded significantly. To manage the newfound abundance and to use DA effectively, DealCo’s advisors invoked practical and theoretical judgments in different stages and areas of the data-driven FDD. The paper identifies four critical uses of judgment: Setting priorities and exercising restraint (practical judgment) and forming hypotheses and doing sense checks (theoretical judgment). In these capacities, practical judgment and theoretical judgment were essential in transforming raw data into actionable insights and, in effect, an indeterminate situation into a determinate one.Originality/valueThe study foregrounds the practical dimension of knowledge production for decision-making and contributes to a better understanding of the role, use and importance of accounting professionals’ judgment in a data-driven world.

준강간에서 피해자가 음주 후 수면 중 심신상실 또는 항거불능의 탐색

This study explores the criteria for determining whether a victim of a sexual crime was in a state of mental loss or unable to resist due to intoxication and sleep at the time of the alleged rape by the defendant. To this end, this paper reviewed literature and court cases regarding Quasi-Rape. Academically, blackout and passing out are significantly mentioned in relation to alcohol consumption, whereas in court cases, the focus is often on whether the victim's mental state during sleep after drinking, which is not unconsciousness but a weakened or incomplete state of consciousness, constitutes an inability to resist. However, recent Supreme Court rulings highlight that in cases where time has passed and the victim later claims to have been in a state of inability to resist, the judge must make a highly logical judgment based on a comprehensive review of various evidences, including not only the victim's statement but also the defendant's. In conclusion, first, there exists a factual difference in perspective on attempted rape cases depending on the judge's gender, and even though the judge's decision is logical, it can still be subjective, indicating a need for the development of objective measures for mental loss or inability to resist. Second, it is appropriate for the prosecution or court to request expert analysis of statements, considering both the victim's and the defendant's statements. Third, more specific legal standards are needed for the ‘significantly difficult situation’ in the case of inability to resist. Fourth, since most attempted rape cases involve the victim alleging rape and the defendant alleging consensual sex, it appears necessary to typify the patterns of rape and consensual sex from a gender-equality perspective and provide judges with additional criteria for judgment.

Movement and binding control strategy based on a new type of rebar-binding robot

PurposeThe paper focuses on the issue of manual rebar-binding tasks in the construction industry, which are marked by high labor intensity, high costs and inefficient operations. The rebar-binding robots that are currently available are not fully mature. Most of them can only bind one or two nodes in one position, which leads to significant time wastage in movement. Based on a new type of rebar-binding robot, this paper aims to propose a new movement and binding control that reduces manpower and enhances efficiency.Design/methodology/approachThe robot is combined with photoelectric sensors, travel switches and other sensors. It is supposed to move accurately and run in a limited area on the rebar mesh through logical judgment, speed control and position control. Machine vision is used by the robot to locate the rebar nodes and then adjusts the binding-gun position to ensure that multiple rebar nodes are bound sequentially.FindingsBy moving on the rebar mesh with accuracy, the robot meets the positioning accuracy requirements of the binding module, with experimental testing accuracy within 5 mm. Furthermore, its ability to bind four rebar nodes in one place results in a high efficiency and a binding effect that meets building standards.Originality/valueThe innovative design of the robot can adapt itself to the rebar mesh, move accurately to the target position and bind four nodes at that position, which reduces the number of movements on the mesh. Repetitive and heavy rebar-binding tasks can be efficiently completed by the robot, which saves human resources, reduces worker labor intensity and reduces construction overhead. It provides a more feasible and practical solution for using robots to bind rebar nodes.

On the issue of resolving disputes about the compliance of the research object with regulatory requirements

Conclusions on the fulfillment or violation of regulatory requirements ensuring the hygienic safety of the research object of the supervised object are carried out by state sanitary and epidemiological supervision bodies based on the results of laboratory studies of controlled indicators. These are, in particular, conclusions on the safety of drinking water sources for the population. The composition and properties of this water, on the instructions of sanitary and epidemiological supervision bodies and water supply institutions, can be examined equally by accredited laboratories that comply with the accreditation criteria in carrying out their activities. At the same time, unfortunately, it is impossible to guarantee the same results of laboratory testing of controlled microbiological, chemical, and other indicators, due to their variability and measurement errors. As a result, the conclusions about the quality and safety of water obtained by the supervisory authority and the supplier (user), primarily in cases concerning the boundary values of hygiene standards, may differ. For constructive resolution of controversial situations arising in this case, this paper proposes a method of tolerance control, the result of which is a logical judgment on the compliance or non-compliance of controlled quantities with established standards. It is shown how this reduces the risk of erroneous recognition of non-compliance of the composition or properties of water with hygienic requirements and guarantees safe water supply to the population. Authors suggested equations of admission control to assess compliance with the requirements of sanitary, epidemiological, and hygienic safety of controlled facilities. A method convenient for practical use is proposed, and using a specific example of monitoring the water quality of wells in the Talitsky district of the Sverdlovsk region, it is shown how it is possible to establish the water safety of almost half of the initially rejected water sources. The use of tolerance control is recommended if it is necessary to increase the reliability of hygienic conclusions on the safety of a wide range of supervised facilities, for which convenient mathematical expressions are given.

Behavioural Economics and Decision Making

For a considerable time, conventional economic models have assumed that people make logical judgements when presented with all available information; nevertheless, actual data frequently challenges this presumption. This study explores the fascinating field of behavioural economics and decision making, illuminating the complex interactions between emotions, social influences, and cognitive biases that affect our decision-making. The trip starts with Prospect Theory, which revealed the human propensity to place a higher value on losses than gains and completely changed our understanding of how people make decisions in risky and uncertain situations. The "nudging" theory developed by Thaler and Sunstein shows how little interventions can improve decisions and open the door to new policy applications. By disproving the idea of irrationality, Gigerenzer's investigation of constrained rationality highlights the function of heuristics in streamlining difficult decisions. A recurring topic is real-world applications; Duflo, Kremer, and Robinson's work demonstrates how behavioural insights might enhance agricultural performance. As behavioural economics develops further, it presents interesting directions for future study, such as the dynamics of group decision-making, the creation of policies, and the impact of technology on decision-making. In summary, behavioural economics goes beyond the classroom and offers a useful lens through which we may see the intricacies of human decision-making.

Settler Colonialism and Decolonization

Abstract This essay makes two arguments. First, it argues that the analytical frame of settler colonialism is very productive in order to understand, describe, and at times even predict certain future trends of the Israeli state and society, while putting aside questions of legitimation or justification. On the other hand, this analytical frame is underdetermined when it comes to offering possible solutions for the future of Palestine-Israel. From the mere fact that Israel is a settler colonial project no particular future normative solution could be deduced logically. Future situations are political, not logical, and as such they are subject to different kinds of considerations including ethical and practical ones. Furthermore, we bear certain responsibility for political decisions that we do not while making logical judgments, and this different must be kept.

Synthetic control with target sticking for on-orbit capturing using a dual-arm space robot

On-orbit capturing is a crucial step in the application of dual-arm space robots, aiming to accurately grasp a moving target and avoid damage to the arms terminal parts (i.e. the end effectors) due to contact force saturation. This paper presents a synthetic control method with target sticking for on-orbit capturing using a dual-arm space robot system from the approaching phase to pre-grasping phase. In the approaching phase, an online trajectory planning method based on visual servoing is proposed to obtain the desired trajectories for end effectors in work space. Then the joint torques are designed by the inverse kinematics and inverse dynamics to track the desired trajectories. Different from most of the current research, a new sticking phase is proposed after the approaching phase and before the pre-grasping phase. In the sticking phase, a force and motion control method is designed to maintain a close relative distance between end effectors and the target, which can avoid saturation of contact forces and avoid damage to the end effectors. In what follows, an impedance control method is proposed in the pre-grasping phase to absorb the impact energy and grasp the target accurately. The synthetic control strategy integrates the controllers of all the phases mentioned above. Automatic switching among the phases is realized by using logic judgment according to the system real states, which is more consistent with the real capturing environment. Finally, numerical simulation results demonstrate the effectiveness of the proposed synthetic control scheme. The results can be applied to the trajectory planning and control of on-orbit capturing, avoiding contact force saturation and ensuring the safety of the system.

지리 교과에서 안전교육 내용 구성을 위한 방사능에 대한 위험 인식 분석

Objectives This study aims to provide basic data for the construction of safety education contents in geography subject by examining university students' risk perception of radioactivity with an optimism bias through a real case of the Fukushima nuclear power plant accident in Japan.
 Methods To this end, a questionnaire composed of questions asking about risk perception of radioactivity and optimism bias in risk perception of radioactivity was distributed and collected to 134 university students in Seoul, South Korea. A one-way ANOVA was conducted to see the difference in risk perception of radioactivity according to the type of visit to Japan (visit to Tokyo, non-visit to Japan, visit to Japan). In addition, factor analysis and multiple regression analysis were performed to identify the optimism bias in the risk perception of radioactivity, and then the difference in optimism bias according to the type of visit to Japan was analyzed through MANOVA (Multivariate Analysis of Variance).
 Results The terms of risk perception of radioactivity, the degree of perception that Tokyo is safe from radiation was significantly higher in the Tokyo visiting group than in the other two groups. As a result of factor analysis to identify optimism bias, three factors (optimistic perception, avoidance perception, and wait-and-see perception) were derived, and as a result of multiple regression analysis, it was found that optimistic perception and avoidance perception had a positive effect on optimism bias in order. As a result of MANOVA, the Tokyo visiting group showed significantly higher perceptions of both optimistic and avoidance compared to the other two groups.
 Conclusions Optimism bias and its sub-factors, optimistic perception and avoidance perception, were identified in the risk perception of radioactivity. Because optimism bias makes it difficult to make logical judgments and rational decision-making in risk situations, meta-cognition for optimism bias in relation to risk perception should be considered when constructing safety education contents in geography subject.

Linear growth behaviour of intermetallic compound layer in electronic interconnections

We observed a linear behaviour of intermetallic compound (IMC) layer growth in electronic metallurgical interconnections, although the time required was twice that of commercial reliability standards for electronic packaging. This finding contradicts the classical parabolic growth law, which is widely reported to represent growth behaviour. We suggest that the parabolic growth law may be inadequate to thoroughly explain the IMC layer's growth by considering (a) one-directional growth and (b) reactions between elements for formation and growth. Further analysis has been carried out to analyse the logical judgment of the parabolic growth law and support our finding over linear IMC layer growth behavior.

The Aesthetic Dimension of Reading: An Embodied-Ecological Approach

This paper aims at integrating insights from ecological psychology, pragmatism, and embodied cognitive science to shed light on the aesthetic dimension underlying daily activities. For this purpose, we discuss conceptions of the aesthetic developed by authors from diverse traditions, including Dewey’s pragmatism, Carroll’s cognitivism, and Saito’s everyday aesthetics. We focus on the activity of reading, which has traditionally been conceived as involving the establishment of letter-sound correspondences and the rule-based deduction of information. However, an embodied framework opens up a more ecological understanding of this activity encompassing dynamic, multimodal perceptual engagement which is dependent on: (i) who the reader is (ii) the task or purpose, and (iii) what the person-environment-system affords. This form of engagement, even in mundane everyday-reading, we argue, brings forth an aesthetic dimension to it. Specifically, we explore how bodily engagement such as olfactory, tactile, and prosodic processes, saturate even logical judgements and reasoning. This integration of embodied and aesthetic processes in a particular context, we claim, can effectively emphasise and cultivate an aesthetic attitude. This, in turn, will provide insight into how the aesthetic dimension of reading can be cultivated intelligently, enriching the overall experience and will also illuminate why we read at all.

Plasmonic and nanozyme dual-channel-based logic judgment for enhancing gold nanoparticle based colorimetric Hg2+ ion sensing performance.

An AND logic gate-based Hg2+ ion colorimetric assay was constructed using the plasmonic and nanozyme dual signal channels of gold nanoparticles (AuNPs). This assay increased the judgment criteria for the identification of Hg2+ ions and effectively improved the accuracy of Hg2+ ion detection.

Infinite Judgment

The article uses the idea of “infinite judgment” (borrowed from the field of logic) to reflect on the narrative techniques employed in Ádám Bodor later works, with a special focus on the novel The Birds of Verhovina (2011) and the collection Nowhere (Sehol, 2019). In a formal sense, the idea of infinite judgment breaks down the duality of the so-called positive and negative qualities of logical judgments (assertion and negation) by introducing a negative predicate into the structure of a positive proposition. Applying the same logic to Bodor’s prose, we can also grasp it as a poetic principle: the process of fictional world-creation does not follow the logic of either negation or affirmation and, through a subtle logical negation, opens up a series of infinite possibilities. This rhetorical strategy, in turn, becomes the appropriate vehicle for the articulation of a specific type of historical experience that we could designate as “potential history” (in opposition to the “actual” history of Eastern European dictatorships in the second half of the twentieth century). Bodor’s prose forces a confrontation with this potential history through narratives of transience and historical transformation whose ultimate horizon is human extinction.

E. E. Constance Jones on Existence in a Region of Supposition

In “On the Nature of Logical Judgment” (published 1893) and A New Law of Thought and Its Logical Bearings (published 1911), E. E. Constance Jones developed a view on which we can think and talk about the round-square. On her view, the round-square has a kind of existence; otherwise, sentences about it wouldn’t be meaningful. But it doesn’t exist in space, since it’s both round and square, and nothing in space is both. Although it has a kind of existence in what she calls “a Region of Supposition,” we can truly say that it “doesn’t exist,” if what we mean is that it doesn’t exist in space. It plays a role in reasoning, since we need to be able to reason about it to conclude that it doesn’t exist in space. And, although the round-square is both round and square, the Law of Contradiction needn’t be violated, provided that it’s understood in light of Jones’s distinction between two kinds of negation.

Probabilistic risk assessment of fire and explosion of onboard high-pressure hydrogen system

Hydrogen is regarded as a new energy carrier and has broad application prospects. As the leading field of hydrogen energy application, hydrogen fuel cell vehicles (HFCVs) are highly valued in the world. However, due to the flammable and explosive characteristics of hydrogen, its safety issues have attracted much attention, and it is increasingly necessary to understand the possible accident risks of the hydrogen system of HFCVs. In this study, the quantitative risk assessment (QRA) of hydrogen system of HFCV was carried out, and the Bayesian network (BN) analysis model of fire and explosion risk of onboard high-pressure hydrogen system was established. Taking a hydrogen system as an example, BN parameters are quantified based on three quantitative analysis methods: general data, logical judgment and computational simulation, and then the fire and explosion risk and personnel loss degree of the general onboard high-pressure hydrogen system are determined. The results show that when hydrogen release occurs, the probability of explosion is 6.79E-05, the probability of jet fire is 1.53E-04, and the probability of fireball is 5.38E-08. In the case of major damage, there is an 87.15 % probability that an explosion occurred; the reliability of safety protection devices is very important in the process of hydrogen use. It is suggested to optimize the structural layout design of safety components and improve the reliability of protection devices to promote the safe development of hydrogen energy industry such as HFCVs.

Intelligent Liquid Crystal Elastomer Actuators with High Mechanical Strength, Self‐Sensing, and Automatic Control

AbstractSelf‐sensing liquid crystal elastomer (LCE) actuators with integration of sensing and actuating have attracted significant attention in health monitoring and physical rehabilitation therapy. However, the development of LCE actuators equipped with high mechanical strength, self‐sensing capabilities, and automatic control simultaneously is still a significant challenge. Here, intelligent self‐sensing LCE actuators with high mechanical strength and automatic control are demonstrated by doping carbon‐materials composite of graphite and carbon black. The proposed actuators, driven by the electrothermal effect, demonstrate a significant increase in the ratio of lifted object mass/self‐weight ratio up to 1168 times, which is then tested in activities such as football kicking and arm swinging of a doll. The self‐sensing LCE actuators possess a 30% actuation strain and have real‐time sensing capability during Joule heating. They can be programmed by control circuits based on conditional logic judgments of the target. In addition, a smart glove equipped with self‐sensing LCE actuators, which have high mechanical strength and an automatic control system for assisting finger movement, is also demonstrated. The proposed LCE actuator shows great potential for applications in assisting finger movement, aiding in joint and knee recovery, and other smart physical rehabilitation therapy applications.

A spatially-controlled DNA triangular prism nanomachine for AND-gated intracellular imaging of ATP in acidic microenvironment.

ADNA triangular prism nanomachine (TPN)-based logic device for intracellular AND-gated imaging of adenosine triphosphate (ATP)has been constructed. By using i-motif sequences and ATP-binding aptamers as logic control units, the TPN logic device is qualified to respond to the acidic environment and ATP in cancer cell lysosomes. Once internalized into the lysosome, the specific acidic microenvironment in lysosome causes the i-motif sequence to fold into a tetramer, resulting in compression of DNA tri-prism. Subsequently, the split ATP aptamer located at the tip of the collapsed triangular prism binds stably to ATP, which results in the fluorescent dyes (Cy3 and Cy5) modified at the ends of the split aptamer being in close proximity to each other, allowing Förster Resonance Energy Transfer (FRET) to occur. The FRET signals are excited at a wavelength of 543 nm and can be collected within the emission range of 646-730 nm. This enables the precise imaging of ATP within a cell. We also dynamically operate AND logic gates in living cells by modulating intracellular pH and ATP levels with the help of external drugs. Owing to the AND logic unit on TPN itcan simultaneously recognize two targets and give corresponding intelligent logic judgment via imaging signal output. Theaccuracy of molecular diagnosis of cancer can be improved thuseliminating the false positive signal of single target-based detection. Hence, this space-controlled TPN-based logical sensing platform greatly avoids sensitivity to extracellular targets during the cell entry process, providing a useful tool for high-precision imaging of the cancer cell's endogenous target ATP.

Excess Emission Sources Identification via Sparse Monitoring Networks

Abnormality detection and identification is of great concern for complex processes monitoring. In chemical industrial parks (CIPs), the primary task is to identify abnormal (excess) sources when unexpected excess emissions occur. However, it is an ill-posed problem to detect, especially to identify them in dense industrial areas where a vast number of emission sources are concentrated in limited space, challenging the relatively sparse wireless sensor networks (WSNs). Meanwhile, barely detecting the existence rather than identifying excess sources can hardly meet the requirements of fine management in CIPs. In this paper, a QR decomposition-based method for excess sources identification (QR-ESI) has been proposed. By introducing equivalent sources (ES) as a substitute for real sources (RS), the semi-independent relation between ES and RS has been developed. By monitoring ES, excess sources can be inferred progressively through the iteration of logical judgments. The performance was evaluated with simulated data and then validated and compared with a state-of-the-art method in a case study in a real-world chemical industrial park.