Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of Area Efficient Single Bit Comparator Circuit using Quantum dot Cellular Automata and its Digital Logic Gates Realization

Quantum dot cellular automata (QCA) is a promising transistor less nano-technology that is growing in popularity and it has the capability to replace the ubiquitous complementary metal oxide Semiconductor (CMOS) technology in the VLSI domain. The paper discussed the simple design of single bit comparator circuit using QCA. A single-bit comparator circuit compares its two inputs and indicates which one is larger or are they both equal. This paper has focused on creating an area efficient QCA comparator circuit and a comparative study of area consumption with the previously made designs. The designed comparator circuit is the most area-efficient design as it is made up of minimum possible number of cells. A comparator is used in equality testers and many other digital communications The circuit proposed in this paper is a three layered circuit which can alternatively be used to realize the basic logic gates. The circuit can also be used as an alternative to the majority and universal gates in QCA.
Integration of FMEA and the Kano model

In almost all of the existing resources of failure mode and effect analysis (FMEA), “severity” is being determined from the designers’ point of view, not from the customers’ side. In this paper, a new approach is proposed to enhance FMEA capabilities through its integration with Kano model. This evolves the current approaches for determination of severity and “risk priority number” (RPN) through classifying severities according to customers’ perceptions. It supports the nonlinear relationship between frequency and severity of failure. Also a new index called “correction ratio” (Cr) is proposed to assess the corrective actions in FMEA. The findings of a short case study highlight the gap between managers and customers in prioritising a set of failures and the difference between RPN and Cr prioritisations, caused by target failure frequencies. The proposed approach enables managers/designers to prevent failures at early stages of design, based on customers who have not experienced their products/services yet.
Adult Neural Stem Cells from Midbrain Periventricular Regions Show Limited Neurogenic Potential after Transplantation into the Hippocampal Neurogenic Niche

The regulation of adult neural stem or progenitor cell (aNSC) proliferation and differentiation as an interplay of cell-intrinsic and local environmental cues remains in part unclear, impeding their role in putative regenerative therapies. aNSCs with all major properties of NSCs in vitro have been identified in a variety of brain regions beyond the classic neurogenic niches, including the caudal periventricular regions (PVRs) of the midbrain, though active neurogenesis is either limited or merely absent in these regions. To elucidate cell-intrinsic properties of aNSCs from various PVRs, we here examined the proliferation and early differentiation capacity of murine aNSCs from non-neurogenic midbrain PVRs (PVRMB) compared to aNSCs from the neurogenic ventricular-subventricular zone (PVRV-SVZ) 7 days after transplantation into the permissive pro-neurogenic niche of the dentate gyrus (DG) of the hippocampus in mice. An initial in vitro characterization of the transplants displayed very similar characteristics of both aNSC grafts after in vitro expansion with equal capacities of terminal differentiation into astrocytes and Tuj1+ neurons. Upon the allogenic transplantation of the respective aNSCs into the DG, PVRMB grafts showed a significantly lower graft survival and proliferative capacity compared to PVRV-SVZ transplants, whereby the latter are exclusively capable of generating new neurons. Although these differences might be—in part—related to the transplantation procedure and the short-term study design, our data strongly imply important cell-intrinsic differences between aNSCs from neurogenic compared to non-neurogenic PVRs with respect to their neurogenic potential and/or their sensitivity to neurogenic cues.
ADDJUST-A View of the First 25 Years

Various technologies and innovative launch operations were developed during the 50 years of the Centaur upper stage—the first launch vehicle to use high performing liquid hydrogen fuel. One innovation was “ADDJUST”, which enabled the successful negotiation of upper level winds measured only hours before launch. Initial causes for its creation, development, and operation during countdown are detailed. Problem definition, wind measuring/monitoring process, pitch and yaw steering coefficient generation, loads analysis, angle of attack, major risks/concerns, and anecdotal recollections are provided. Launch availability improved from as low as 55 to 95 percent due to ADDJUST, which is still in use.
Kin17 drives dissociation of Mira from the centrosome in neuroblasts by regulating splicing of Flfl

During asymmetric division of Drosophila neuroblasts, the fate determinant Prospero and its adaptor Miranda are segregated to the basal cortex through aPKC phosphorylation of Miranda and displacement from the apical cortex. Here we identify Kin17 as a novel regulator of Miranda localization during asymmetric cell division and loss of Kin17 or Protein Phosphatase 4 leads to aberrant localization of Miranda to the centrosome and cytoplasm and Prospero to the centrosome and nucleus. We report that dephosphorylation of Mira by Protein Phosphatase 4 at Serine-96 at the centrosome is required for the proper basal localization of Mira after being phosphorylated at the apical cortex. We further demonstrate that Kin17 regulates Miranda localization by promoting splicing of the transcript of a PP4 component Falafel. Taken together, our work reveals a novel mechanism that ensures proper basal localization of Miranda by preventing its aberrant localization to the centrosome during the asymmetric division. Summary Connell et al. show that proper segregation of cell fate determinant Miranda requires PP4-mediated dissociation of Miranda from the centrosome/spindle in Drosophila neuroblasts, a critical step that has been overlooked previously. Further, they identify a novel regulator of Miranda localization, Kin17, which promotes splicing of the transcript of the PP4 component Falafel.
Multi‐criteria analysis procedure for sustainable mobility evaluation in urban areas

This paper proposes a procedure to evaluate sustainable mobility in urban areas. A set of indicators according to 3 dimensions of sustainability (i.e., environment, economics, and social aspects) are proposed to evaluate mobility in urban areas. The sustainable mobility evaluation is based on an Index calculated through a weighted multi criteria combination procedure. A group of specialists in Brazil was involved in the development of the Index by defining the weights for the criteria. An application of the methodology in the city of Belo Horizonte, State of Minas Gerais, with 2.24 million inhabitants, is presented to validate the methodology.
A 17 GHz dual-modulus prescaler in 120 nm CMOS

A completely integrated 17 GHz prescaler with programmable ratios of 4 and 5 is presented. The prescaler uses high speed differential current-mode logic and merged AND-gates. Over a band of 15 GHz the prescaler features an enhanced input sensitivity of less than 0 dBm. The circuit draws 47 mA from a single 1.5 V supply. An output buffer is also included in the circuit to drive 50 /spl Omega/ loads. The circuit is manufactured in a 120 nm CMOS technology.
Progress in the Application of Nano- and Micro-based Drug Delivery Systems in Pulmonary Drug Delivery

Nanotechnology is associated with the development of particles in the nano-size range that can be used in a wide range of applications in the medical field. It has gained more importance in the pharmaceutical research field particularly in drug delivery, as it results in enhanced therapeutic drug performance, improved drug solubility, targeted drug delivery to the specific sites, minimized side effects, and prolonged drug retention time in the targeted site. To date, the application of nanotechnology continues to offer several benefits in the treatment of various chronic diseases and results in remarkable improvements in treatment outcomes. The use of nano-based delivery systems such as liposomes, micelles, and nanoparticles in pulmonary drug delivery have shown to be a promising strategy in achieving drug deposition and maintained controlled drug release in the lungs. They have been widely used to minimize the risks of drug toxicity in vivo. In this review, recent advances in the application of nano- and micro-based delivery systems in pulmonary drug delivery for the treatment of various pulmonary diseases, such as lung cancer, asthma, and chronic obstructive pulmonary disease, are highlighted. Limitations in the application of these drug delivery systems and some key strategies in improving their formulation properties to overcome challenges encountered in drug delivery are also discussed.
Quality-controlled R-loop meta-analysis reveals the characteristics of R-loop consensus regions

R-loops are three-stranded nucleic acid structures formed from the hybridization of RNA and DNA during transcription. While the pathological consequences of R-loops have been well-studied to date, the locations, classes, and dynamics of physiological R-loops remain poorly understood. R-loop mapping studies provide insight into R-loop dynamics, but their findings are challenging to generalize. This is due to the narrow biological scope of individual studies, the limitations of each mapping modality, and, in some cases, poor data quality. In this study, we reprocessed 693 R-loop mapping datasets from a wide array of biological conditions and mapping modalities. From this data resource, we developed an accurate method for R-loop data quality control, and we reveal the extent of poor-quality data within previously published studies. We then identified a set of high-confidence R-loop mapping samples and used them to define consensus R-loop sites called “R-loop regions” (RL regions). In the process, we revealed the stark divergence between S9.6 and dRNH-based R-loop mapping methods and identified biologically meaningful subtypes of both constitutive and variable R-loops. Taken together, this work provides a much-needed method to assess R-loop data quality and reveals intriguing aspects of R-loop biology.
Novel quad‐band circularly polarized capacitive‐fed microstrip antenna for C‐band applications

A novel quad‐band circularly polarized capacitive coupled stacked patch antenna with wideband characteristics is presented for C‐band applications (4–8GHz). In the proposed design, only two truncated patches with horizontal slits and inclined slot are stacked together to generate quad‐band circular polarization operation and broadband behavior. The proposed antenna has achieved a bandwidth of 55.46% in the frequency band of 4.97–8.49 GHz and the 3‐dB axial ratio bandwidths of 0.98%, 4.275%, 0.8869%, and 1.35% in four distinct bands of 5.1223–5.1729 GHz, 5.4710–5.7100 GHz, 6.2747–6.3306 GHz, and 7.6775–7.7822 GHz, respectively. The measured results show the good agreement with simulated results of the presented antenna and confirm the validity of design. The proposed antenna is useful for various C‐band applications. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:2622–2628, 2015
Bearing Fault Diagnosis via Improved One-Dimensional Multi-Scale Dilated CNN

Bearings are the key and important components of rotating machinery. Effective bearing fault diagnosis can ensure operation safety and reduce maintenance costs. This paper aims to develop a novel bearing fault diagnosis method via an improved multi-scale convolutional neural network (IMSCNN). In traditional convolutional neural network (CNN), a fixed convolutional kernel is often employed in the convolutional layer. Thus, informative features can not be fully extracted for fault diagnosis. In the proposed IMSCNN, a 1D dimensional convolutional layer is used to mitigate the effect of noise contained in vibration signals. Then, four dilated convolutional kernels with different dilation rates are integrated to extract multi-scale features through the inception structure. Experimental results from the popular CWRU and PU datasets show the superiority of the proposed method by comparison with other related methods.
Predicting and Understanding Student Learning Performance Using Multi-Source Sparse Attention Convolutional Neural Networks

Predicting and understanding student learning performance has been a long-standing task in learning science, which can benefit personalized teaching and learning. This study shows that the progress towards this task can be accelerated by using learning record data to feed a deep learning model that considers the intrinsic course association and the structured features. We proposed a multi-source sparse attention convolutional neural network (MsaCNN) to predict the course grades in a general formulation. MsaCNN adopts multi-scale convolution kernels on student grade records to capture structured features, a global attention strategy to discover the relationship between courses, and multiple input-heads to integrate multi-source features. All achieved features are then poured into a softmax classifier towards an end-to-end supervised deep learning model. Conducting insights into higher education on real-world university datasets, the results show that MsaCNN achieves better performance than traditional methods and delivers an interpretation of student performance by virtue of the resulted course relationships. Inspired by this interpretation, we created an association map for all mentioned courses, followed by evaluating the map with a questionnaire survey. This study provides computer-aided system tools and discovers the course-space map from the educational data, potentially facilitating the personalized learning progress.
Caracterización molecular de caimito en el estado de Morelos

La fruticultura de México cuenta con 63 especies comerciales y 220 especies con potencial alimenticio. En el estado de Morelos se han reportado 1.7 ha de caimito en los municipios de Coatlán del Río y Tetecala de la Reforma. El caimito es una fuente alternativa para la diversificación de la agricultura, así como para la exportación frutícola. El conocimiento de la variabilidad genética de las especies permitirá el desarrollo de programas orientados a la conservación de germoplasma de forma in situ o ex situ, programas de certificación, así como proporcionar a los productores una amplia selección de plantas. El objetivo de la investigación fue caracterizar molecularmente árboles de caimito seleccionados previamente en Coatlán del Río y Tetecala de la Reforma, Morelos, México, utilizando la técnica de RAPDs. Se seleccionaron 13 árboles de caimito tomando en cuenta para la selección con base en las características morfológicas y organolépticas. Se realizó el aislamiento de ADN genómico y se utilizaron 30 iniciadores RAPD. Los datos moleculares se procesaron utilizando el sistema de análisis multivariado y taxonómico numérico (NTSYSpc 2.1). La metodología utilizada permitió caracterizar nueve árboles. El análisis del conglomerado obtenido muestra que a un nivel de 0.71 de distancia genética se forman cuatro agrupaciones. Los árboles 14 y 15 no comparten similitud genética con los otros árboles y estos fueron a su vez los que mostraron mayor número de bandas marcadoras y así como también fueron unos de los que destacaron por sabor.
IBM's 360 and early 370 systems

No new product offering has had greater impact on the computer industry than the IBM System/360. IBM's 360 and Early 370 Systems describes the creation of this remarkable system and the developments it spawned, including its successor, System/370. The authors tell how System/360's widely-copied architecture came into being and how IBM failed in an effort to replace it ten years later with a bold development effort called FS, the Future System. Along the way they detail the development of many computer innovations still in use, among them semiconductor memories, the cache, floppy disks, and Winchester disk files. They conclude by looking at issues involved in managing research and development and striving for product leadership.While numerous anecdotal and fragmentary accounts of System/360 and System/370 development exist, this is the first comprehensive account, a result of research into IBM records, published reports, and interviews with over a hundred participants. Covering the period from about 1960 to 1975, it highlights such important topics as the gamble on hybrid circuits, conception and achievement of a unified product line, memory and storage developments, software support, unique problems at the high end of the line, monolithic integrated circuit developments, and the trend toward terminal-oriented systems.System/360 was developed during the transition from discrete transistors to integrated circuits at the crucial time when the major source of IBM's revenue was changed from punched-card equipment to electronic computer systems. As the authors point out, the key to the system's success was compatibility among its many models. So important was this to customers that System/370 and its successors have remained compatible with System/360. Many companies in fact chose to develop and market their own 360-370 compatible systems. System/360 also spawned an entire industry dedicated to making plug-compatible products for attachment to it.The authors, all affiliated with IBM Research, are coauthors of IBM's Early Computers, a critically acclaimed technical history covering the period before 1960.
Notice of Retraction Water Pollution and Tourism Development - Case Study in Dongchang Lake in Shandong Province of China

Tourism has been one of the fastest growing industries in recent years. As water resources have been broadly used in the tourism industry, it is inevitable that results in problem about water environment such as water pollution. Dongchang Lake Scenic Area is the most famous scenic resort in the border of western Shandong Province in China whose feature is Liaocheng Ancient City built in the Northern Song Dynasty and its surrounding water surface named Dongchang Lake. Several investigations have been made, with the aim of finding out the causes and consequences of water pollution because of tourism development. The results show that increasing numbers of tourists, relative service infrastructures, such as, shops, restaurants, and hotels, and in addition, insufficient management measures, result in water pollution. Countermeasures on water management approaches are suggested to deal with the current water pollution, and make tourism development sustainable.
Montage electron tomography of vitrified specimens

Cryo-electron tomography provides detailed views of macromolecules in situ. However, imaging a large field of view to provide more cellular context requires reducing magnification during data collection, which in turn restricts the resolution. To circumvent this trade-off between field of view and resolution, we have developed a montage data collection scheme that uniformly distributes the dose throughout the specimen. In this approach, sets of slightly overlapping circular tiles are collected at high magnification and stitched to form a composite projection image at each tilt angle. These montage tilt-series are then reconstructed into massive tomograms with a small pixel size but a large field of view. For proof-of-principle, we applied this method to the thin edge of HeLa cells. Thon rings to better than 15 Å were observed in the montaged tilt-series, and diverse cellular features were evident in the resulting tomograms. These results indicate that the additional dose required by this technique is not prohibitive to performing structural analysis to intermediate resolution across a large field of view. We anticipate that montage tomography will prove particularly useful for lamellae, increase the likelihood of imaging rare cellular events, and facilitate visual proteomics.
PENGARUH PERCEIVED QUALITY DAN PUSH STRATEGY TERHADAP RECOMMENDATION MINYAK GOSOK SANHONG CAP PIDA

Penelitian ini bertujuan untuk menganalisa pengaruh dari Perceived Quality dan Push Strategy terhadap Rekomendasi Minyak Gosok SanHong Cap Pida. Penelitian ini dilaksanakan dengan menyebarkan kuesioner kepada 30 toko grosir dan eceran yang berlokasi di daerah Surabaya. Alat analisa yang digunakan untuk mengukur pengaruh Perceived Quality dan Push Strategy terhadap Rekomendasi Minyak Gosok SanHong Cap Pida adalah analisa regresi linear berganda. Hasil penelitian menunjukkan bahwa Perceived Quality dan Push Strategy mempengaruhi Rekomendasi Minyak Gosok SanHong Cap Pida. Sedangkan Variabel yang paling dominan mempengaruhi Rekomendasi adalah Push Strategy .
Information theoretically secure key sharing protocol executing with constant noiseless public channels

Предлагается новый протокол обмена ключами, работающий с постоянными общедоступными каналами без шумов (по крайней мере, без шумов для перехватчиков) и не использующий стандартные сложностные предположения. Протокол основан на схеме EVSKey, недавно предложенной Цинем и Дингом. Показано, что такая схема нестойкая, для повышения ее стойкости вводятся искусственный шум и процедура повышения конфиденциальности. Вероятности ключевых битовых ошибок как для законных, так и для нелегальных пользователей оценены с помощью моделирования. Вероятности декодирования ошибок рассчитаны для кодов LDPC. Оценен объем утечки информации Шеннона злоумышленникам. Приведен также канальный трафик, необходимый для выполнения предложенного протокола.
Nondestructive Evaluation of Additive Manufacturing State-of-the-Discipline Report

This report summarizes the National Aeronautics and Space Administrations (NASA) state of the art of nondestructive evaluation (NDE) for additive manufacturing (AM), or "3-D printed", hardware. NASA's unique need for highly customized spacecraft and instrumentation is suited for AM, which offers a compelling alternative to traditional subtractive manufacturing approaches. The Agency has an opportunity to push the envelope on how this technology is used in zero gravity, an enable in-space manufacturing of flight spares and replacement hardware crucial for long-duration, manned missions to Mars. The Agency is leveraging AM technology developed internally and by industry, academia, and other government agencies for its unique needs. Recent technical interchange meetings and workshops attended by NASA have identified NDE as a universal need for all aspects of additive manufacturing. The impact of NDE on AM is cross cutting and spans materials, processing quality assurance, testing and modeling disciplines. Appropriate NDE methods are needed before, during, and after the AM production process.
Determining the Composition of a Mixed Material with Synthetic Data

Abstract Determining the composition of a mixed material is an open problem that has attracted the interest of researchers in many fields. In our recent work, we proposed a novel approach to determine the composition of a mixed material using convolutional neural networks (CNNs). In machine learning, a model “learns” a specific task for which it is designed through data. Hence, obtaining a dataset of mixed materials is required to develop CNNs for the task of estimating the composition. However, the proposed method instead creates the synthetic data of mixed materials generated from using only images of pure materials present in those mixtures. Thus, it eliminates the prohibitive cost and tedious process of collecting images of mixed materials. The motivation for this study is to provide mathematical details of the proposed approach in addition to extensive experiments and analyses. We examine the approach on two datasets to demonstrate the ease of extending the proposed approach to any mixtures. We perform experiments to demonstrate that the proposed approach can accurately determine the presence of the materials, and sufficiently estimate the precise composition of a mixed material. Moreover, we provide analyses to strengthen the validation and benefits of the proposed approach.