Miracle-dz/UniFAR-FTUs huggingface dataset:
The importance of synergy between industry and educational institutions using technology to support implementation freedom to learn-independent campus

The synergy between industry and educational institutions must be maintained to advance education in Indonesia. To strengthen the synergy between industry and educational institutions, the government launched the Freedom to Learn-Independent Campus program through the Ministry of Education, Culture, Research, and Technology. However, there are still numerous challenges to be overcome in practice. One of them is the condition that existed during the Covid 19 pandemic. In such cases, technology is one of the solutions that can be used to ensure that the educational process runs smoothly. This study is a descriptive study based on a literature review. Selecting topics, exploring, determining research focus, determining data sources, reading library sources, collecting research data, processing research note data, and compiling research results comprised the research design. Editing, organizing, and finding data are some of the data collection techniques employed. An interpretive and deductive analysis is the data analysis techniques used. The findings are as follows: 1) The relevance of industry needs and graduate competencies is critical for each educational institution to improve the quality of graduates. The more relevant the industry's needs are to the graduates' competencies, the more likely it is that they will be able to work well. 2) Industry involvement is very important in this freedom-to-learn-independent campus program. This is because the industry is one of the places to focus on developing student competencies for a minimum period of 6 months or more. 3) The role of technology is one of the solutions to answer the challenges of education and the learning process during the pandemic. In this case, technology is divided into 3 aspects, namely information technology, educational technology, and tool/machine technology. © 2023 Author(s).
Counseling High Conflict: Navigating the Complexities of High Conflict Divorce

Practicing counselors will, at some point, work with clients from high-conflict separations/divorces (HCS/D); however, often they have received very little educational training for these experiences. To effectively treat these clients/client families, all counselors should have a working knowledge of the major processes and critical factors involved in these situations. This manuscript emphasizes the role of the counselor within HCS/D, seeks to give both an overview of and describe the complexities of HCS/D that counselors need to understand, and identifies areas of concern and focus for counselors functioning within distinct modalities.
Stevioside Improves Antioxidant Capacity and Intestinal Barrier Function while Attenuating Inflammation and Apoptosis by Regulating the NF-κB/MAPK Pathways in Diquat-Induced Oxidative Stress of IPEC-J2 Cells

As a natural sweetener, stevioside is extracted from Stevia rebaudiana Bertoni and possesses potent antioxidant activity. However, little information is known about its protective role in maintaining the intestinal epithelial cells health under oxidative stress. The aim of this study was to investigate the protective effects and underlying mechanisms of stevioside on alleviating inflammation, apoptosis, and improving antioxidant capacity in intestinal porcine epithelial cells (IPEC-J2) under oxidative stress by diquat. The results demonstrated that the pretreatment with stevioside (250 μM) for 6 h increased cell viability and proliferation and prevented apoptosis induced by diquat at 1000 μM for 6 h in IPEC-J2 cells, compared with the diquat alone-treated cells. Importantly, stevioside pretreatment significantly reduced ROS and MDA production as well as upregulated T-SOD, CAT, and GSH-Px activity. Moreover, it also decreased cell permeability and improved intestinal barrier functions by significantly upregulating the tight junction protein abundances of claudin-1, occludin, and ZO-1. At the same time, stevioside significantly down-regulated the secretion and gene expression of IL-6, IL-8, and TNF-α and decreased the phosphorylation levels of NF-κB, IκB, and ERK1/2 compared with the diquat alone group. Taken together, this study demonstrated that stevioside alleviated diquat-stimulated cytotoxicity, inflammation, and apoptosis in IPEC-J2 cells, protecting cellular barrier integrity and mitigating oxidative stress by interfering with the NF-κB and MAPK signaling pathways.
Direct-Writing Electrospun Functionalized Scaffolds for Periodontal Regeneration: In Vitro Studies

Multiphasic scaffolds that combine different architectural, physical, and biological properties are the best option for the regeneration of complex tissues such as the periodontium. Current developed scaffolds generally lack architectural accuracy and rely on multistep manufacturing, which is difficult to implement for clinical applications. In this context, direct-writing electrospinning (DWE) represents a promising and rapid technique for developing thin 3D scaffolds with controlled architecture. The current study aimed to elaborate a biphasic scaffold using DWE based on two polycaprolactone solutions with interesting properties for bone and cement regeneration. One of the two scaffold parts contained hydroxyapatite nanoparticles (HAP) and the other contained the cementum protein 1 (CEMP1). After morphological characterizations, the elaborated scaffolds were assessed regarding periodontal ligament (PDL) cells in terms of cell proliferation, colonization, and mineralization ability. The results demonstrated that both HAP- and CEMP1-functionalized scaffolds were colonized by PDL cells and enhanced mineralization ability compared to unfunctionalized scaffolds, as revealed by alizarin red staining and OPN protein fluorescent expression. Taken together, the current data highlighted the potential of functional and organized scaffolds to stimulate bone and cementum regeneration. Moreover, DWE could be used to develop smart scaffolds with the ability to spatially control cellular orientation with suitable cellular activity at the micrometer scale, thereby enhancing periodontal and other complex tissue regeneration.
Development of Comorbid Depression after Social Fear Conditioning in Mice and Its Effects on Brain Sphingolipid Metabolism

Currently, there are no animal models for studying both specific social fear and social fear with comorbidities. Here, we investigated whether social fear conditioning (SFC), an animal model with face, predictive and construct validity for social anxiety disorder (SAD), leads to the development of comorbidities at a later stage over the course of the disease and how this affects the brain sphingolipid metabolism. SFC altered both the emotional behavior and the brain sphingolipid metabolism in a time-point-dependent manner. While social fear was not accompanied by changes in non-social anxiety-like and depressive-like behavior for at least two to three weeks, a comorbid depressive-like behavior developed five weeks after SFC. These different pathologies were accompanied by different alterations in the brain sphingolipid metabolism. Specific social fear was accompanied by increased activity of ceramidases in the ventral hippocampus and ventral mesencephalon and by small changes in sphingolipid levels in the dorsal hippocampus. Social fear with comorbid depression, however, altered the activity of sphingomyelinases and ceramidases as well as the sphingolipid levels and sphingolipid ratios in most of the investigated brain regions. This suggests that changes in the brain sphingolipid metabolism might be related to the short- and long-term pathophysiology of SAD.
Optimization on process design of products pipeline by hybrid differential evolution algorithm

Owing to higher probability of obtaining a local minimum and sensitivity to the initial value,it is difficult to solve the mathematical model of products pipeline optimal design using conventional numerical methods. The hybrid differential evolution algorithm is introduced to deal with it and the methodology dynamically handling constraints in the evolutionary process is developed. The population variety and the convergence are then improved. A real example was tested and a satisfactory solution was obtained,which proves the effectiveness of this method.
High efficient TE_(11) mode enhanced coaxial vircator

Coupling efficiencies of TE_(11) and TM_(01) modes oscillating with radial injected electron beam in coaxial vircator present nearly the same value for coaxial geometry.3D PIC simulation result shows that non-poloidal uniform mode dominates the output power.The effect of TE_(11) mode oscillating with injected electron beam on the performance of coaxial vircator can not be ignored.By introducing an unsymmetrical geometry and a TE_(11) mode reflector,the coupling efficiency between electron beam and TM_(01) mode is restrained.Consequently,the modes competition in the beam-EM wave interaction cavity is quenched,which leads to the increase of the energy conversion efficiency.The TE_(11) mode enhanced coaxial vircator with a non-coaxial geometry gives the power efficiency of 7% and 1.0 GW output power in the experiment,which is approximately 3 times of the coaxial geometry.
Relay Management in Energy-aware Cooperative Ad Hoc Networks: A Perspective of Stochastic Game

Abstract Energy efficiency is a crucial requirement for energy-aware ad hoc networks. The efficient relay management, i.e., the joint issue of relay node selection and transmit power control, can be applied to reduce and balance energy consumption. In most existing works, however, the nodes are required to share the distributed information, e.g., the channel knowledge, the updates on relay node selection and power strategies, which incurs the frequent exchange of information. The requirement of significant communication overheads among nodes not only impede fully distributed solutions, but also disagrees with the energy-saving goal. In this work, we formulate the energy-efficient relay management problem as a discrete, stochastic game for a multi-source multi-relay ad hoc network. In the proposed game, each potential relay node is viewed as a player to search for the best action in the probability space with the incomplete distributed information. We investigate the achievable performance of the proposed game in terms of the existence of Nash equilibrium, its expression by using the support and programming methods, and its Pareto optimality. Moreover, we propose a low-complexity, distributed learning algorithm based on the linear reward-inaction procedure. The properties of convergence and learning rate of the algorithm are analyzed.
The Efficient Use of Supplementary Information in Standard Sampling Procedures

SUMMARY Use is made of a well-known heteroscedastic super-population model to obtain comparisons of the efficiencies of six methods of sampling in common use. These are simple random sampling with unbiased estimators, simple random sampling with ratio estimators, and sampling with probability proportional to size with unbiased estimators; each with and without replacement. The resulting comparisons are readily interpretable, thus affording simple criteria for comparing the efficiencies of these widely used sample plans. They also provide heuristic explanations of their properties.
Gender and Media Representations: A Review of the Literature on Gender Stereotypes, Objectification and Sexualization

Media representations play an important role in producing sociocultural pressures. Despite social and legal progress in civil rights, restrictive gender-based representations appear to be still very pervasive in some contexts. The article explores scientific research on the relationship between media representations and gender stereotypes, objectification and sexualization, focusing on their presence in the cultural context. Results show how stereotyping, objectifying and sexualizing representations appear to be still very common across a number of contexts. Exposure to stereotyping representations appears to strengthen beliefs in gender stereotypes and endorsement of gender role norms, as well as fostering sexism, harassment and violence in men and stifling career-related ambitions in women. Exposure to objectifying and sexualizing representations appears to be associated with the internalization of cultural ideals of appearance, endorsement of sexist attitudes and tolerance of abuse and body shame. In turn, factors associated with exposure to these representations have been linked to detrimental effects on physical and psychological well-being, such as eating disorder symptomatology, increased body surveillance and poorer body image quality of life. However, specificities in the pathways from exposure to detrimental effects on well-being are involved for certain populations that warrant further research.
Low-energy bosonic modes in a high-temperature superconductor with incipient charge order

The modern understanding of high temperature superconductivity (HTSC) in copper-oxides is built upon decades of momentum-resolved studies of the fermion degrees of freedom, namely with angle-resolved photoemission spectroscopy (ARPES) and scanning tunneling spectroscopy (STS) techniques. Less is known, however, about the bosonic degrees of freedom, particularly charge excitations at the meV energy scale relevant to superconductivity. Here we present a study of the meV charge collective modes in the HTSC material Bi(2)Sr(2)CaCu(2)O(8+x) (Bi2212) using momentum-resolved electron energy-loss spectroscopy (M-EELS). We find evidence for the emergence at low temperature of static, short-ranged, nematic-like charge order exhibiting a high degree of angular correlations. This order interacts strongly with a complex spectrum of lattice-like excitations, whose spectral weight provides a transparent understanding of the so-called "kink" structure observed with ARPES in this material. Our study suggests that the electron self-energy in Bi2212 is highly renormalized by lattice-like excitations, whose coupling is enhanced by local heterogeneities.
Nonlinear Feedback Control of Chaos in Permanent Magnet Synchronous Motor

To deal with chaos in Permanent Magnet Synchronous Motor(PMSM),a method of controlling chaos by employing a dynamical nonlinear feedback controller was developed to guide chaotic motion towards regular motion.The controller was an active feedback controller without affecting the original system parameters,and was piecewise-quadratic function in the form of x|x|. The direct-axis or quadrate-axis stator current nonlinear feedback was used for chaos control.This method was simple and easy to be realized with a parameter processing.Simulation results showed the effectiveness of the proposed method and profitable conclusion was obtained.
On the depth spectrums of linear cyclic codes on ring Z_4

This paper studied the generator polynomial of linear cyclic codes C on ring Z_4,and proved that the depth spectrum of linear cyclic codes of type 4~k or 2~k consists exactly k non zero values,and gived the depth spectrum of type 4~(k_1)2~_(k_2).
RNA Transcript Diversity in Neuromuscular Research

Three decades since the Human Genome Project began, scientists have now identified more then 25,000 protein coding genes in the human genome. The vast majority of the protein coding genes (> 90%) are multi-exonic, with the coding DNA being interrupted by intronic sequences, which are removed from the pre-mRNA transcripts before being translated into proteins, a process called splicing maturation. Variations in this process, i.e. by exon skipping, intron retention, alternative 5’ splice site (5’ss), 3’ splice site (3’ss), or polyadenylation usage, lead to remarkable transcriptome and proteome diversity in human tissues. Given its critical biological importance, alternative splicing is tightly regulated in a tissue- and developmental stage-specific manner. The central nervous system and skeletal muscle are amongst the tissues with the highest number of differentially expressed alternative exons, revealing a remarkable degree of transcriptome complexity. It is therefore not surprising that splicing mis-regulation is causally associated with a myriad of neuromuscular diseases, including but not limited to amyotrophic lateral sclerosis (ALS), spinal muscular atrophy (SMA), Duchenne muscular dystrophy (DMD), and myotonic dystrophy type 1 and 2 (DM1, DM2). A gene’s transcript diversity has since become an integral and an important consideration for drug design, development and therapy. In this review, we will discuss transcript diversity in the context of neuromuscular diseases and current approaches to address splicing mis-regulation.
The Bianchi Identities in the Generalized Theory of Gravitation

1. General remarks. The heuristic strength of the general principle of relativity lies in the fact that it considerably reduces the number of imaginable sets of field equations; the field equations must be covariant with respect to all continuous transformations of the four coordinates. But the problem becomes mathematically well-defined only if we have postulated the dependent variables which are to occur in the equations, and their transformation properties (field-structure). But even if we have chosen the field-structure (in such a way that there exist sufficiently strong relativistic field-equations), the principle of relativity does not determine the field-equations uniquely. The principle of “logical simplicity” must be added (which, however, cannot be formulated in a non-arbitrary way). Only then do we have a definite theory whose physical validity can be tested a posteriori.
Design and laboratory test of a Lorentz force flowmeter for pipe flows

﻿Lorentzkraft-Anemometrie ist ein universelles Verfahren zur kontaktlosen Durchflussmessung elektrisch leitfahiger Fluide. Das Verfahren beruht auf dem Prinzip der Magnetofluiddynamik, welches besagt, dass durch die Bewegung eines elektrisch leitfahigen Materials in einem externen Magnetfeld eine Lorentzkraft entsteht, die der Bewegungsrichtung des Fluids entgegenwirkt. Die Lorentzkraft kann mit Hilfe eines Kraftsensors messtechnisch erfasst und daraus die mittlere Stromungsgeschwindigkeit des Fluids abgeleitet werden. Das Ziel der Dissertation ist es, ein neuartiges Durchflussmessgerat zur kontaktlosen Messung von Stromungsgeschwindigkeiten in Rohren zu entwickeln und im Labor zu testen. Um dieses Ziel zu erreichen, wurde ein theoretisches Modell erarbeitet, welches die Reaktionsgeschwindigkeit des Messverfahrens beschreibt. Weiterhin wurden im Rahmen der Dissertation umfangreiche Designstudien fur verschiedene Teilkomponenten des Messgerates durchgefuhrt. Unter anderem wurden verschiedene Varianten fur Magnetsysteme mittels Finiter Elemente Methode untersucht.Dabei konnte der Halbach-Zylinder mit 16 Segmenten als derzeit effektivstes Magnetsystem gefunden werden. Weiterhin wurde eine umfassende Analyse der thermischen Randbedingungen im Stahlwerk durchgefuhrt. Das Ergebnis der Studie zeigt, dass eine hinreichende Kuhlung des Messgerates auf weniger als 60°C Innentemperatur moglich ist. Zum Test der Messgerate und zur Uberprufung der Modelle und Designkonzepte wurden zwei Versuchsstande konzipiert, konstruiert und aufgebaut. Das erste Experiment dient dem experimentellen Nachweis der Reaktionsgeschwindigkeit der Lorentzkraft.Das zweite Experiment dient der Kalibrierung der Messgerate. In einer umfangreichen Studie wurden die Kalibrierkonstanten eines ausgewahlten Systems fur unterschiedliche Materialien und Durchmesser der Probekorper bestimmt. Uber den Rahmen der Promotion hinaus wurde der erste Prototyp eines Lorentzkraft-Anemometers erfolgreich unter Industriebedingungen im Stahlwerk getestet.
Perceptions and Attitudes toward Risks of City Administration Employees in the Context of Smart City Management

Smart cities are required to be effectively and efficiently managed in order to ensure the desired level of sustainability and quality of life for all inhabitants. This is a particularly difficult challenge in crisis situations of considerable scale and intensity (for example, the COVID-19 pandemic, armed conflicts, social tensions). For this reason, the aim of this article is to identify the attitudes and perceptions of risk by city administration employees combined with an assessment of their impact on the consequences of risk (the implementation of internal and external threats). The analyses used the results of a survey conducted on a representative sample of 399 Polish municipal offices, as well as descriptive statistics and structural equation modeling. The obtained results show that: (1) employees of municipal offices negatively perceive risk and are aware of its destructive impact on the organization, but are reluctant to report the risks; (2) individual and collective measures are taken in offices to protect against risks, but employees are not always encouraged to report potential sources of risk (rarely in the form of an informal conversation and even more rarely in a systemic form); (3) for the most part, employees are aware that internal and external risks have a negative impact on the operation of municipal offices; (4) the consequences of risks are more strongly influenced by employees’ perceptions of risk than by individual, team, and systemic attitudes toward risk. The added value of the research presented in this article comes from diagnosing the behavioral aspects of urban risk management and assessing the impact of attitudes toward risks and risk perceptions (internal and external) in a broad, representative range.
Alignment of the ATLAS Inner Detector in Run-2

The performance of the ATLAS Inner Detector alignment has been studied using $pp$ collision data at $\sqrt{s} = 13$ TeV collected by the ATLAS experiment during Run 2 (2015 to 2018) of the Large Hadron Collider (LHC). The goal of the detector alignment is to determine the detector geometry as accurately as possible and correct for time-dependent movements. The Inner Detector alignment is based on the minimization of track-hit residuals in a sequence of hierarchical levels, from global mechanical assembly structures to local sensors. Subsequent levels have increasing numbers of degrees of freedom; in total there are almost 750000. The alignment determines detector geometry on both short and long timescales, where short timescales describe movements within an LHC fill. The performance and possible track parameter biases originating from systematic detector deformations are evaluated. Momentum biases are studied using resonances decaying to muons or to electrons. The residual sagitta bias and momentum scale bias after alignment are reduced to less than $\sim$0.1 TeV$^{-1}$ and 0.9$\times10^{-3}$, respectively. Impact parameter biases are also evaluated using tracks within jets.