EXPRESS: The psychological role of music and attentional control for religious experiences in worship

This study investigated the psychological dynamics during worship experiences under the influence of different music conditions. 60 believers were recruited to participate in experiments where they were asked to engage in worship and to connect with God while continuously ranking how strongly they sensed the presence of the divine. After each condition, they were asked to rate how well they were able to focus on God during the worship procedure. Based on a previously published feedback loop model that portrays global psychological mechanisms in worship, we deduced two hypotheses: (i) the ability to focus on God is positively associated with how strong the subjective religious experience becomes; (ii) and the different musical conditions yield varying degrees in the intensity of the felt presence of God. Our statistical analyses on the current sample demonstrate that both alternative hypotheses can be accepted. For the latter thesis, two further assumptions were at play: (a) we speculated that religious worship songs were associated with stronger divine experiences than with secular ones; and (b) it was assumed that if they could worship to their own selection of songs, the experience would be more powerful than with the ones that were provided by the research team. Whereas upon our investigation the former assumption can be deemed correct, the latter shows a positive but insignificant association.

Spatial High Precision Scanning Control Method Based on Feedforward Closed-Loop Model Reference Adaptive

The time-modulated Fourier transform spectrometer realizes spectrum detection by scanning the optical path of the corner mirror. During the scanning process, the servo system is required to have high-precision and low-speed characteristics. Aiming at the fluctuation of scanning speed caused by spatial micro-vibration during scanning, a closed-loop model reference adaptive control algorithm based on feedforward is studied. The permanent magnet synchronous linear motor is used to drive the angle mirror to move back and forth along the guide rail to achieve large optical path and high-precision scanning with the maximum optical path difference of ± 34cm, the speed stability ≥ 99%.

Intrusion Detection System on KDD’99 Dataset with Imbalanced Classes

The paper describes a method of intrusion detection that keeps check of it with help of machine learning algorithms. The experiments have been conducted over KDD’99 cup dataset, which is an imbalanced dataset, cause of which recall of some classes coming drastically low as there were not enough instances of it in there. For Preprocessing of dataset One Hot Encoding and Label Encoding to make it machine readable. The dimensionality of dataset has been reduced using Principal Component Analysis and classification of dataset into classes viz. attack and normal is done by Naïve Bayes Classifier. Due to imbalanced nature, shift of focus was on recall and overall recall and compared with other models which have achieved great accuracy. Based on the results, using a self optimizing loop, model has achieved better geometric mean accuracy.

A Calculation Method for the Deformation Behavior of Warp-Knitted Fabric

In this paper, a new method to simulate the structure and loop deformation behavior of double-bar reflex-lapping warp-knitted fabrics based on the structural characteristics is proposed. A simplified mass-spring model was built in which loops knitted by filaments were considered as particles with the uniform mass distribution connected by structure springs for overlaps and shear springs for underlaps. Deformation forces and direction on particles were analyzed to describe the displacement and deformation behavior of particles. A loop model with eight control points was established, and the relationship between control points and particles was studied combining the quadratic Bezier curves. The deformation simulation was implemented by a simulator program with C# and JavaScript via web technology on Visual Studio 2015. The stereoscopic sense of filaments was realized by changing the direction and intensity of the light. The results show that the fabric deformation and the loop shape can be accurately achieve using the simplified mass-spring model compared with the real sample.

Why Can the Brain (and Not a Computer) Make Sense of the Liar Paradox?

Ordinary computing machines prohibit self-reference because it leads to logical inconsistencies and undecidability. In contrast, the human mind can understand self-referential statements without necessitating physically impossible brain states. Why can the brain make sense of self-reference? Here, we address this question by defining the Strange Loop Model, which features causal feedback between two brain modules, and circumvents the paradoxes of self-reference and negation by unfolding the inconsistency in time. We also argue that the metastable dynamics of the brain inhibit and terminate unhalting inferences. Finally, we show that the representation of logical inconsistencies in the Strange Loop Model leads to causal incongruence between brain subsystems in Integrated Information Theory.

Rad21 is the core subunit of the cohesin complex involved in directing genome organization

The ring-shaped cohesin complex is an important factor regulating genome structure. It is thought to mediate the formation of chromatin loops and topologically associating domains (TADs) by loop extrusion. However, the regulation of association between cohesin and chromatin is poorly understood. In this study, we directly visualized cohesin loading after up-regulation of cohesin subunit Rad21 by identifying the formation of vermicelli-like structures via live cell super-resolution imaging. We also reveal that cohesin loading can be promoted by Rad21-loader interactions and accumulated contacts were shown at TAD corners while inter-TAD interactions increased after vermicelli formation, indicating that Rad21 is an important determinant of chromatin structure. Moreover, we find that cohesin saddle on topologically associating domains by FISH assay, which is consistent with the CTCF/cohesin-anchored chromatin loop model. Importantly, expression of Rad21 is strictly controlled, and aberrant expression of Rad21 leads to the formation of Rad21 “beads” in the nucleus. In summary, our observations provided important new biological insights into the mechanism of cohesin loading and its functions.

Implementing Cognitive Procurement and its Influence on Supply Chain During the Era of Digital Transformation in Oil and Gas Industry 4.0

The digital transformation is key for every oil and gas organization to implement its fourth industrial revolution (Industry 4.0). Digital transformation in procurement uses artificial intelligence, big data, market intelligence, etc. to create self-learning systems; for the procurement of goods and services. This is also known as cognitive procurement or procurement 4.0. The objective of this paper is to examine the methods of implementing cognitive procurement, the impact it creates in the procurement life cycle, and in the supply chain. The paper also provides insight into three governance models of human-machine interaction that is implemented in stages based on procurement requirement and technology adoption maturity of the organization.Human-in-the-loop modelHuman on-the-loop modelHuman out-of-loop model The data for this study is obtained by preparing a list of relevant questions from multiple sources. An online survey questionnaire is sent to the procurement professionals in different organizations in the oil and gas industry. The questions reveal procurement expert's responses for:Potential challenges for the digital transformation in procurement and supply chain.Methods of enabling technologies to leverage procurement procedures and processes. The results and the observations of the study are used to measure the benefits of implementing cognitive procurement in the oil and gas industry 4.0. The new transformed roles of procurement for industry 4.0 are also discussed in the conclusion, which includes:Daily activitiesProcurement decision-making activitiesStrategic SourcingProcurement to drive organizational profitability, effectiveness and efficiency The paper will benefit oil and gas organizations that are planning to implement cognitive procurement as part of the digital transformation. The paper will also benefit any parties interested in understanding more about cognitive procurement.