Miracle-dz/UniFAR-FTUs huggingface dataset:
TRAP1 in Oxidative Stress and Neurodegeneration

Tumor necrosis factor receptor-associated protein 1 (TRAP1), also known as heat shock protein 75 (HSP75), is a member of the heat shock protein 90 (HSP90) chaperone family that resides mainly in the mitochondria. As a mitochondrial molecular chaperone, TRAP1 supports protein folding and contributes to the maintenance of mitochondrial integrity even under cellular stress. TRAP1 is a cellular regulator of mitochondrial bioenergetics, redox homeostasis, oxidative stress-induced cell death, apoptosis, and unfolded protein response (UPR) in the endoplasmic reticulum (ER). TRAP1 has attracted increasing interest as a therapeutical target, with a special focus on the design of TRAP1 specific inhibitors. Although TRAP1 was extensively studied in the oncology field, its role in central nervous system cells, under physiological and pathological conditions, remains largely unknown. In this review, we will start by summarizing the biology of TRAP1, including its structure and related pathways. Thereafter, we will continue by debating the role of TRAP1 in the maintenance of redox homeostasis and protection against oxidative stress and apoptosis. The role of TRAP1 in neurodegenerative disorders will also be discussed. Finally, we will review the potential of TRAP1 inhibitors as neuroprotective drugs.
Deep learning based cost estimation of circuit boards: a case study in the automotive industry

ABSTRACT Early cost estimation is a decisive value driver in the product development process in manufacturing industries. Machine learning offers new intelligent methods to support traditional cost calculation processes. While traditional research on intelligent cost estimation focuses on machine learning regression or classification models, we propose a new approach based on interlocking deep learning methods. In this paper we investigate the applicability of deep learning techniques, focusing on image recognition and deep learning regression as well as autoencoding to estimate product costs of circuit boards to be purchased. We create and evaluate deep learning models using real-world data from an original equipment manufacturer (OEM). Our findings suggest that deep learning models can streamline cost calculation and estimation processes while deep learning object recognition-based cost estimation outperforms autoencoding techniques. This research is designed to be transferable to other cost estimation projects.
Dummy gated radio frequency VDMOSFET with high breakdown voltage and low feedback capacitance

In this paper, a novel radio frequency power device called dummy gated VDMOS has been proposed and demonstrated experimentally. The new device is produced using the standard RF VDMOS process technology. An improvement in breakdown voltage by 20% is realized, while the feedback capacitance C/sub rss/ is reduced by three times leading to a desired HF performance and high reliability.
On the use of deep learning for lens design

Data-driven methods to assist lens design have recently begun to emerge, in particular under the form of lens design extrapolation: using machine learning, the features of successful lens design forms can be extracted, then recombined to create new designs. Here, we discuss the core aspects and next challenges of the LensNet framework, a deep learning-enabled tool that leverages lens design extrapolation as a more powerful alternative to lens design databases when searching for starting points. We also propose to borrow ideas and tools from the practice of machine learning and deep learning, and integrate them into standard lens design optimization. Namely, we recommend using automatic differentiation to power ray tracing engines, along with considering recent and powerful first-order gradient-based optimizers, and using data-driven glass models that are more suited for optimization than traditional variables.
Experimental and analytical comparison between pair development and software development with fagan's inspection

Peer review is one of the essential activities in software quality assurance since peer reviews can detect and remove defects in the early stages of the software development life cycle. Removing defects early reduces the cost of defect rework later. Selecting a peer review methodology (e.g., inspection, walkthrough, checklist-based, defect-based, function-based, perspective-based, usage-based, value-based) to execute in a software project is difficult. The developers have to understand the commonalities and differences of each methodology. They need to know the relative strengths and weaknesses of these practices. However, very few studies have compared the commonalities and differences of each peer review methodology and none of the studies have shown an empirical comparison between pair programming and software inspection. Software inspection and pair programming are effective verification techniques. Software inspection is one of the best practices in traditional software development while pair programming is one of the best practices in agile development. Numerous studies have shown the success of software inspection in large-scale software development over the past three decades. Although Pair Programming (PP) is a newer approach and less structured, it has had a strong impact on the success of agile software development projects over the past five years. This dissertation aims to identify the critical factors that impact the cost-effectiveness of either pair programming/development or inspection and provide the decision framework to help the developers select the most effective technique under given conditions. To compare both techniques, four classroom experiments and one industry experiment were conducted in Thailand and US. The development effort and effect of quality were investigated with some additional calendar time comparisons.
Covert dual-band wearable button antenna

A novel dual-band antenna for wearable WLAN computing applications is introduced. This antenna comprises three discs and a coaxial post. Its appearance is of a standard metal button of the type used in denim jeans. The antenna is easily disguised and less sensitive to clothing than printed patches, which use the textile fabric as a substrate or superstrate. The antenna requires no external matching circuitry and operates at 2400 and 5200 MHz. The radiation patterns are omnidirectional around the central post of the antenna.
How to Get Better: Taking Notes Mediates the Effect of a Video Tutorial on Number Series

In recent studies, test-score increases have been shown in rule-based intelligence test tasks, such as number series, after watching a corresponding video tutorial. An open question remains regarding the mechanisms involved. Specifically, taking notes to describe the relations between numbers might be linked to test scores, and is hypothesized to mediate the effect of a number series video tutorial on number series test scores. Therefore, an experimental group (EG) watching a number series video tutorial (n = 58) was compared with a control group (CG) watching an irrelevant tutorial (n = 52) before working on number series items. Results revealed higher number series scores in the EG than the CG (d = .48), more items with provided notes in the EG than in the CG (d = .41), and substantial correlations between the number of items with notes and the number series sum scores in both groups (EG: r = .66; CG: r = .75). The effect of the video tutorial on the number series sum score was mediated by the number of items with notes (indirect effect = 3.41, SE = 1.74). Theoretical and practical implications as well as future research directions are discussed.
Advanced feature based techniques for landmine detection using ground penetrating radar

Landmine detection is an important and yet challenging problem that remains to be solved. It is not only a problem for military, but also for humanitarian concern. The goal of this research is to propose some techniques for landmine detection. Two advanced feature based techniques are developed. One algorithm applies the clustering method based on the spectral feature vectors formed by the energy density spectra of return sensor signals, the idea behind is to find out whether there are some “hidden patterns” among the spectral feature vectors. The other one is the subspace detector technique that utilizes the energy density spectra of return signals directly. These techniques are tested in various testing data sets collected from the vehicle mounted ground penetrating radar to evaluate their ability to improve the detection result and reduce the false alarm rates. Both of them are proved to be useful in improving the detection of landmines.
IM-DD long-distance multichannel WDM transmission experiments using Er-doped fiber amplifiers

We have demonstrated multichannel wavelength-division multiplexed optical signal transmission experiments employing Er-doped fiber amplifiers. Four-channel transmission of 459 km and 1500 km experiments and two-channel transmission of 4550 km experiment are described, and the transmission penalty is analyzed. We also discuss the effect of four-wave mixing. The difference of the transmission fiber clearly shows the difference of the optical spectrum due to four-wave mixing after long-distance transmission. The results show the possibility of long-distance multidestination optical communication systems with wavelength-division multiplexed signals combined with Er-doped fiber amplifiers. >
CREATING ENVIRONMENTAL CHANGE THROUGH BUSINESS ETHICS AND SOCIETY COURSES

This chapter explores how to improve the environmental performance of local organizations through MBA and undergraduate Management and Business & Society course assignments. Edgewood College MBA students apply “The Natural Step” framework to their organizations’ operations and initiate changes that improve their environmental performance. Undergraduate Business & Society students research and implement campus energy efficiency techniques, manage a campus-wide Eco-Olympics, and publish case studies that showcase local environmentally friendly business practices. These environmental service-learning activities have contributed to fostering a Business School and college culture that embraces environmental innovations. Students want to make a difference and these projects enable them to do so. Materials are provided to assist professors in implementing these class projects. CHAPTER 12
Notch1 Signaling Contributed To TLR4-Triggered NF-kB Activation In Macrophages

Background: Macrophages substantially shape the development, progression, and complications of inflammation-driven diseases. Although numerous researches support a critical role for Notch signaling in most inflammatory diseases, there is limited data on the role of Notch signaling in TLR4-induced macrophage activation and the interaction of Notch signaling with other signaling pathways(e.g., the NF-kB pathway during inflammation) in macrophages. Methods and Results: In this study, we confirmed that stimulation with TLR4 ligand LPS up-regulates Notch1 expression in RAW264.7 monocyte/macrophage-like cell line. LPS also induced the expression of Notch target genes Notch1 and Hes1 mRNA in macrophages, suggesting that TLR4 signaling enhances Notch pathway activation. The upregulation of Notch1, NICD, and Hes1 protein by LPS treatment was inhibited by the Notch1 inhibitor of DAPT. The increase of TNF-a, IL-6, and IL-1b induced by LPS was inhibited by DAPT while jagged1, the Notch1 ligand, rescued them. Furthermore, the suppression of Notch signaling by DAPT up-regulated CYLD expression but down-regulated TRAF6, IKKa/bphosphorylation, and subsequently phosphorylation and degradation of IκB-α, indicating the inhibition of TLR4-triggered NF-kB activation by DAPT. Interestingly, DAPT showed no inhibitory effect on the increase of MyD88 expression induced by LPS in our study. Conclusions: Our study shows that the stimulation of macrophages via the TLR4 signaling cascade triggers the activation of Notch1 signaling, which regulates the expression patterns of genes involved in pro-inflammatory responses through by activating NF-kB. It may be dependent on the CYLD-TRAF6-IKK pathway. The Notch1 signaling may be considered as a potential therapeutic target against infectious and inflammatory driven diseases.
i-Bee: the CSCL Assessment Tool for Making the Status of Discussion Visible

This paper describes a CSCL (Computer Supported Collaborative Learning) assessment tool that aims at visualizing discussions among learners participating on electronic forums using a text-mining technique. The software, named "i-Bee" (Bulletin board EnvisionEr), is able to visually show the co-occurrence relations of topic keywords of each learner using Correspondence Analysis. Furthermore, i-Bee can show how actively each learner discusses; how each learner contributes to online discussions; and the frequency the learners use each keyword. In this paper, the authors report the rationale, the basic algorithm, and the implementation of i-Bee.
DEVELOPMENT OF IMPROVED INJURY CRITERIA FOR THE ASSESSMENT OF ADVANCED AUTOMOTIVE RESTRAINT SYSTEMS - II

The National Highway Traffic Safety Administration's (NHTSA) plans for upgrading the Federal Motor Vehicle Safety Standard (FMVSS) No. 208, frontal crash protection safety standard, include improving protection requirements for the normally seated mid-sized adult male, as well as including additional requirements that will specify performance limits to minimize the risks from airbags to small-sized occupants and children in both normal and out-of-position seating locations. These new crash specifications will require the use of additional dummies of various sizes as well as additional performance criteria that appropriately represent injury thresholds of these additional population segments. Based on the agency's analysis of comments received in response to the publication of the NPRM and the accompanying technical reports, the agency has made modifications to the recommended injury criteria and their associated performance limits. A detailed discussion of the comments received and the agency's analysis may be found in Appendix A. This report documents these modifications and the rationale.
EDUCATIONAL TECHNOLOGY USAGE IN HIGHER EDUCATION INSTITUTIONS: A CASE STUDY

Background: digital technology plays an important role in higher education institutions. Objective: this study investigates how students and instructors are using digital tools, for what purposes they use digital technology and to what extent digital technologies adopted in higher education. Methodology: structural equation modeling was used; triangulation approaches, data have been collected from the students (n=168), instructors (n=64) using a survey questionnaires and an in-depth interviews with students, instructors. Data was analyzed using SPSS v26. Result: Based on the data analysis more than 88.09% of students use digital tools for non-academic purposes (for entertainment), like playing games, online chatting with their friends, watching videos (movies), telegram, face book for personal or social use. However, digital tools have a great impact on student academic achievement especially for students who score in GPA are greater than 3.5. Conclusion: higher education students have access to digital tools like the internet, desktop computers (1:6), laptops (4.16%) and mobile devices (97.61%). However, 88.09% of learners use educational technology for enjoyment purposes. The digital competency of instructors and students are very low. (74.21% of instructors do not use digital tools in the Classroom).
Proton Exchange Membrane Fuel Cell Design and Dynamic Modeling in MATLAB

The alternatives to combustion engines in future will be fuel cells. The dynamic behavior of fuel cells for changing load conditions show poor voltage regulation. For improving the voltage regulation of PEM fuel cell, efficient control system should be designed. If the dynamic behavior of the fuel cell is known, the cost in designing the control system is greatly reduced . The behavior of the fuel cell for various load conditions and for changing pressure and temperature can be found by dynamically modeling the proton exchange membrane fuel cell.
A Three-Dimensional Position System Using Digital TDE Receiver and Cylindrical Array Antenna

Based on the digital time delay estimation (TDE) and Gauss-Newton Interpolation algorithms, the circular error probability (CEP) of the proposed four-station position system using time difference of arrival (TDOA) over Rayleigh fading channel was studied by numerical computation in three-dimension space. The hybrid three-station TDOA and direction of arrival (DOA) position system was used to improve the reliability of four-station TDOA position system. Simulations indicate that the accuracy of the proposed position system is significantly decreased by reducing one measuring station and providing one direction of arrival (DOA) measurement.
Changes in the structure of trade between China and the countries of central and eastern Europe in the period after the initiation of format 17+1

The paper discusses the consequences of cooperation between China and CEE countries, also known as 17+1, an initiative founded in 2012 by Beijing to promote business and investment relations between China and those economies. The main hope of CEE countries was that they would be able to reduce their strong trade deficits, but today the question arises whether their expectations were unrealistic. After calculating the quantitative indicators of cumulative CEE trade with China in 2011-2018, the author tested the first hypothesis, i.e. whether structures of merchandise exports from CEE countries have become better adjusted to the commodity imports structure of China. In order to prove that hypothesis, the study used four indicators of similarity: Cosines and the Finger-Kreinin similarity index, as well as the Bray-Curtis and Integrated Similarity Index. To improve the analysis, the author controlled for additional factors such as changes in CEE countries’ export structures through tendencies of shares of medium and high-tech products in their total exports. The second hypothesis is that in the observed period major CEE economies detected positive qualitative changes in their merchandise exports to China. The qualitative changes in CEE economies’ exports to China are measured through tendencies in the shares of skill-intensive manufacturing, whose eventual increase would create important conditions for their sustainable and stronger growth. The findings show that with a modest growth of CEE exports to China from 2011 and with a lack of structural improvements, there is no doubt that the scales of economic benefits seem to be tipping in favour of China.
BIPA Teaching Material in North Sumatran Context for Beginner Level

The limited availability of Indonesian language learning materials for international students (BIPA) and many requests from international students to study Indonesian at Medan State University are still constrained by the lack of BIPA teaching materials. This limitation is a crucial problem faced by BIPA lecturers. Therefore, the development of BIPA teaching materials is very much needed to develop BIPA Classes at Universitas Negeri Medan. The problems explored in this study are: the characteristics of the need for BIPA teaching materials containing North Sumatran culture for entrylevel international students based on the perceptions of international students and BIPA lecturershow to develop BIPA teaching materials containing North Sumatran culture for beginner-level international studentsand how the experts' assessment of BIPA teaching materials containing the culture of North Sumatra for international students at the beginner level. This study applies a Research and Development approach that is carried out in five stages, namely: (1) preliminary analysis, (2) initial development of prototypes, (3) product design, (4) product validation resulting from development, and (5) product revision and refinement. In addition, this study applies three ways of collecting data, namely observation, interviews, and questionnaires, to obtain data on user needs in the development of teaching materials and initial assessment of prototypes of teaching materials. The data sources consist of BIPA lecturers, international students, and expert lecturers. The data analysis of this research used descriptive qualitative, which consisted of the presentation and conclusion of the data. The results of this study are analysis perceptions of international students and BIPA lecturers that produce the characteristics of BIPA teaching materials that contain North Sumatran culture for international students at beginner level and use a variety of languages that are easy to
The Synthesis of N-Port Circulators

It is shown that there is a certain wide class of three-port network that can be transformed into a circulator by the addition of reactive elements. For such synthesis from a symmetrical three-port junction it is necessary and sufficient for it to be loss-free and for the moduli of the two transmission coefficients to be different. This approach may be used in the design of broad-band circulators. For junctions approximating to an n-port circulator with n>3, it is shown that when the n reflection coefficients are matched by reactive networks in each arm, n particular transmission coefficients also vanish.
A Novel Method of Remote Battery Back-up for A DMS Sub-station

This study presents a remote battery backup for Distribution Management System substation. It elucidates the importance of the battery at the substation and the necessity of the automation at the substation. By achieving this we can remotely check the health of the battery from Back Control Center. It also enlightens the affects of the unavailability of power supply and how the charger gets activated and gives supply to the motors connected to the isolators and also acts as auxiliary supply to the Field Remote Terminal Unit until the station comes online.
RET and DFM techniques for sub 30nm

The resolution enhancement through lithography hardware (wavelength and Numerical Aperture) has come to a stop putting the burden on computational lithography to fill in the resulting gap between design and process until the arrival of EUV tools. New Computational Lithography techniques such as Optical Proximity Correction (OPC), Sub Resolution Assist Feature (SRAF), and Lithography Friendly Design (LFD) constitute a significant transformation of the design. These new Computational Lithography applications have become one of the most computationally demanding steps in the design process. Computing farms of hundreds and even thousands of CPUs are now routinely used to run these applications. The 28nm node presents many difficulties due to low k1 lithography whereas the 20nm requires double patterning solutions. In this paper we present a global view of enhanced RET and DFM techniques deployed to provide a robust 28nm node and prepare for 20nm. These techniques include advanced OPC manipulation through end user IP insertion into EDA software, optimized sub resolution assist features (SRAF) placement and pixilated OPC. These techniques are coupled with a fast litho print check, aka LFD, for 28nm P&R.
Spectral linewidth broadening in semiconductor laser amplifiers with finite facet reflectivity: experimental verification

The line broadening of optical signals by semiconductor laser amplifiers with nonzero facet reflectivity was observed. The line broadening was found to be on the order of 10% for an uncoated 25.5-dB Fabry-Perot amplifier with an input signal linewidth of 9.9 MHz. The line broadening is particularly important in weakly coherent systems. >