Miracle-dz/UniFAR-FTUs huggingface dataset:
An Input-Series Output-Series Noninverting Buck–Boost Converter for 1500 V DC Bus With Wide Input and Output Voltage Ranges

This article proposes the input-series output-series noninverting buck–boost converter (ISOSNIBBC) with wide input and output voltage ranges. The proposed ISOSNIBBC is composed of noninverting buck–boost converters in series and a coupled inductor. Compared to traditional series-connected converters, the proposed converter has advantages of simple structure, intuitive voltage gain, high reliability, and easy modularization using industry standard power modules. Small signal models and operating modes of the proposed converter are suggested and analyzed. After that, the voltage and the current controllers are qualitatively designed using the derived models. To validate the proposed converter and controllers, the 8-kW converter prototype for 1500 V dc bus system has been built and tested. Both the simulation and the experimental results verify the operating mode analyses, the small signal models, and the designed controllers. The experimental results confirm that the proposed converter has various power processing capabilities required in 1500 V dc applications.
The Use of Hazelnut Testa in Bakery Products

Fındık zarı, fındık tanesini tamamen saran ve iç fındığın kavrulması sırasında yan ürün olarak açığa çıkan ince ve kahverengi perisperm tabakasıdır. Fındık zarının antioksidan kapasitesi yüksek olup, diyet lif olarak da değerlendirilmektedir. Fındık zarının bu özellikleri sebebiyle ekmek, kurabiye ve kek yapımında kullanılması, üretilen fırıncılık ürünlerinin bazı fizikokimyasal ve duyusal özelliklerinin tespit edilmesi için mevcut çalışma yürütülmüştür. Çalışma kapsamında buğday ununa % 4, 6, 8 ve 10 seviyesinde fındık zarı ilave edilerek karışım unlar elde edilmiştir. Unlara ait reolojik özellikler ekstensograf ve farinograf ölçümleri ile belirlenmiş olup, fındık zarı miktarı arttıkça unun su tutma kapasitesinin (%61,8’den %67,1’e), gelişme zamanının (4,3 dakikadan 10,7 dakikaya) ve stabilitesinin (8,2 dakikadan 17,2 dakikaya) arttığı tespit edilmiştir. Fındık zarına ait toplam fenolik madde içeriği kuru maddede 209,750 mg GAE/g olarak bulunmuştur. %10 fındık zarı içeren unla üretilen ekmek, kurabiye ve keklerde fenolik madde içeriği sırasıyla 19,427, 9,777 ve 13,126 mg GAE/g olarak belirlenmiştir. Duyusal analiz sonuçlarına göre renk, koku ve tat yönünden en yüksek (P < 0,05) skoru elde eden kurabiye örnekleri %8 fındık zarı içeren örnekler olurken, çalışma kapsamında üretilen tüm ekmek ve kek numuneleri panelistler tarafından aynı oranda toplam beğeni skoru elde etmiştir (P>0,05). Sonuç olarak fırıncılık ürünleri üretiminde fındık zarı ilavesinin yeni ürünlerin üretiminde önemli bir alternatif olabileceği belirlenmiştir.
A Novel Pressure Relief Hole Recognition Method of Drilling Robot Based on SinGAN and Improved Faster R-CNN

The drilling robot is the key equipment for pressure relief in rockburst mines, and the accurate recognition of a pressure relief hole is the premise for optimizing the layout of pressure relief holes and intelligent drilling. In view of this, a pressure relief hole recognition method for a drilling robot, based on single-image generative adversarial network (SinGAN) and improved faster region convolution neural network (Faster R-CNN), is proposed. Aiming at the problem of insufficient sample generation diversity and poor performance of the traditional SinGAN model, some improvement measures including image size adjustment, multi-stage training, and dynamically changing iteration times are designed as an improved SinGAN for the generation of pressure relief hole images. In addition, to solve the problem that the traditional depth neural network is not ideal for small-size target recognition, an improved Faster R-CNN based on multi-scale image input and multi-layer feature fusion is designed with the improved SqueezeNet as the framework, and the sample data collected from ground experiments are used for comparative analysis. The results indicate that the improved SinGAN model can improve the diversity of generated images on the premise of ensuring the quality of image samples, and can greatly improve the training speed of the model. The accuracy and recall rate of the improved Faster R-CNN model were able to reach 90.09% and 98.32%, respectively, and the average detection time was 0.19 s, which verifies the superiority of the improved Faster R-CNN model. To further verify the practicability of the proposed method, some field images were collected from the underground rockburst relief area in the coal mine, and a corresponding test analysis was carried out. Compared with three YOLO models, the accuracy and recall rate of improved Faster R-CNN model improved significantly, although the training time and recognition time increased to a certain extent, which proves the feasibility and effectiveness of the proposed method.
Application of WRF 3DVAR to operational typhoon prediction in Taiwan: Impact of outer loop and partial cycling approaches

AbstractIn this paper, the impact of outer loop and partial cycling with the Weather Research and Forecasting Model’s (WRF) three-dimensional variational data assimilation system (3DVAR) is evaluated by analyzing 78 forecasts for three typhoons during 2008 for which Taiwan’s Central Weather Bureau (CWB) issued typhoon warnings, including Sinlaku, Hagupit, and Jangmi. The use of both the outer loop and the partial cycling approaches in WRF 3DVAR are found to reduce typhoon track forecast errors by more than 30%, averaged over a 72-h period. The improvement due to the outer loop approach, which can be more than 42%, was particularly significant in the early phase of the forecast. The use of the outer loop allows more observations to be assimilated and produces more accurate analyses. The assimilation of additional nonlinear GPS radio occultation (RO) observations over the western North Pacific Ocean, where traditional observational data are lacking, is particularly useful. With the lack of observations over.
IdenMultiSig: Identity-Based Decentralized Multi-Signature in Internet of Things

Most devices in the Internet of Things (IoT) work on unsafe networks and are constrained by limited computing, power, and storage resources. Since the existing centralized signature schemes cannot address the challenges to security and efficiency in IoT identification, this article proposes IdenMultiSig, a decentralized multi-signature protocol that combines identity-based signature (IBS) with Schnorr scheme under discrete logarithms on elliptic curves. First, to solve the problem of offline or faulty devices under unstable networks, we introduce a novel improvement of the existing Schnorr scheme by introducing a threshold Merkle tree for the verification with only <inline-formula> <tex-math notation="LaTeX">$m$ </tex-math></inline-formula> valid signatures among <inline-formula> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula> participants (<inline-formula> <tex-math notation="LaTeX">$m$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula> tree), while hiding the real identity to protect the data security and privacy of IoT nodes. Furthermore, to prevent dishonest or malicious behavior of the private key generator (PKG), a consortium blockchain is innovatively applied to replace the traditional PKG as a decentralized and trusted private key issuer. Finally, the proposed scheme is proven to be unforgeable against forgery signature attacks in the random oracle model (ROM) under the elliptic curve discrete logarithm (ECDL) assumption. Theoretical analysis and experimental results show that our scheme matches or outperforms existing research studies in privacy protection, offline device support, decentralized PKG, and provable security.
Drug Repurposing in Non-Small Cell Lung Carcinoma: Old Solutions for New Problems

Lung cancer is the second most common cancer and the leading cause of cancer-related deaths in 2022. The majority (80%) of lung cancer cases belong to the non-small cell lung carcinoma (NSCLC) subtype. Despite the increased screening efforts, the median five-year survival of metastatic NSCLC remains low at approximately 3%. Common treatment approaches for NSCLC include surgery, multimodal chemotherapy, and concurrent radio and chemotherapy. NSCLC exhibits high rates of resistance to treatment, driven by its heterogeneity and the plasticity of cancer stem cells (CSCs). Drug repurposing offers a faster and cheaper way to develop new antineoplastic purposes for existing drugs, to help overcome therapy resistance. The decrease in time and funds needed stems from the availability of the pharmacokinetic and pharmacodynamic profiles of the Food and Drug Administration (FDA)-approved drugs to be repurposed. This review provides a synopsis of the drug-repurposing approaches and mechanisms of action of potential candidate drugs used in treating NSCLC, including but not limited to antihypertensives, anti-hyperlipidemics, anti-inflammatory drugs, anti-diabetics, and anti-microbials.
Analysis of current-driven motion of morphologically stable voids in metallic thin films: Steady and time-periodic states

We report results of self-consistent numerical simulations of current-induced migration of morphologically stable voids in metallic thin films accounting rigorously for current crowding, surface curvature, and surface diffusional anisotropy effects. In a previous study, we demonstrated that as the morphological stability limit is approached, the migration speed of a morphologically stable steady void deviates substantially from being inversely proportional to the void size. We also derived a scaling relationship for the void migration speed, rescaled properly with a shape factor, as a function of the void size as described by Cho et al. [Appl. Phys. Lett. 85, 2214 (2004)]. In this study, we calculate accurately shape factors for stable steady void morphologies, as well as for stable time-periodic void morphologies with surface waves propagating on the voids. We predict the effects of surface diffusional anisotropy strength on the migration of stable steady voids, as well as the effects of void size on voi.
Predictability of the NCEP–NCAR Reanalysis Model during Austral Summer

Abstract Ten years of forecasts during Northern Hemisphere winter produced by the NCEP–NCAR reanalysis project are analyzed and their errors are documented with a focus on forecasts over South America. Previous studies have documented a seesaw pattern in the South Atlantic Convergence Zone (SACZ). Events associated with a strong SACZ are periods when the subtropical plains of South America exhibit precipitation deficits. When the SACZ weakens, precipitation in the plains is abundant. The forecast errors during these periods are examined separately. An error climatology is also obtained based on all available forecasts for January and February. It is found that cases with weak SACZ are characterized by relatively smaller forecast errors in the Americas and neighboring oceans during the first three days than are strong SACZ cases. The error growth for these weak SACZ cases is larger, and the forecast errors exceed those in the strong SACZ cases after about 5 days. Upper-tropospheric divergence is systematic.
Asymptotic Distribution of Robust Estimators for Nonparametric Models from Mixing Processes

Stable URL:http://links.jstor.org/sici? sici=0090-5364%28199006%2918%3A2%3C891%3AADOREF%3E2.0. CO%3B2-XThe Annals of Statistics is currently published by Institute of Mathematical Statistics.Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available athttp://www.jstor.org/about/terms.html. JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtainedprior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content inthe JSTOR archive only for your personal, non-commercial use.Please contact the publisher regarding any further use of this work. Publisher contact information may be obtained athttp://www.jstor.org/journals/ims.html. Each copy of any part of a JSTOR transmission must contain the same copyright notice that appears on the screen or printedpage of such transmission.The JSTOR Archive is a trusted digital repository providing for long-term preservation and access to leading academicjournals and scholarly literature from around the world. The Archive is supported by libraries, scholarly societies, publishers,and foundations. It is an initiative of JSTOR, a not-for-profit organization with a mission to help the scholarly community takeadvantage of advances in technology. For more information regarding JSTOR, please contact support@jstor.org. http://www.jstor.orgMon Mar 10 00:58:58 2008
An ICT-based start-up entering maritime logistics networks: facilitation of value cocreation patterns

Purpose This study aims to explore how a start-up entering maritime logistics networks (MLNs) in the container shipping industry integrates resources underlying value cocreation patterns in these networks. Design/methodology/approach The paper is based on a single case study of a technological start-up, providing tracking, tracing and other information services to MLN members using internet-based software. An interorganizational theory perspective informs the case study to unveil the resource integration for value cocreation in the network. Findings The start-up holds multiple resource interaction roles and the start-up’s involvement enables the creation of new knowledge resources, which facilitate new revenue streams and manage resource dependencies. Hence, the findings indicate that the start-up changes value cocreation patterns in the network by reconfiguring and integrating existing resources so that the service is customized for various customers, including shippers and freight forwarders. Practical implications The results provide insights about how technological start-ups can unlock resources within MLNs. Originality/value The study extends previous studies on resource roles in business networks and shows how start-ups can perform multiple roles simultaneously within these networks. In addition, the study contributes to the literature by studying information and knowledge as resources configured in different ways in a unique network setting.
Microgating carbon nanotube field emitters by in situ growth inside open aperture arrays

Multiwalled carbon nanotubes were grown using chemical vapor deposition inside small apertures having a horizontal gate and a sidewall insulator spacer. Emission currents up to 140 nA per cell at 63 V have been obtained. These arrays have exhibited a gate current as low as 2.5% of the anode current throughout the entire gate voltage range, representing the lowest gate to anode current ratio of gated nanotube emitters reported to date. We attribute this feature to the emitter geometry and method of fabrication. The overall fabrication method required only a few and simple processing steps.
Occurrence of Hepatitis A Virus in Water Matrices: A Systematic Review and Meta-Analysis

Hepatitis A is a common form of viral hepatitis. It is usually transmitted through the ingestion of contaminated food and water. This systematic review was carried out to summarise the overall prevalence of Hepatitis A virus (HAV) in different water matrices: untreated and treated wastewater, surface water, groundwater, drinking water, and others (e.g., irrigation water and floodwater). The literature search was performed in four databases: PubMed, Web of Science, Global Index Medicus, and Excerpta Medica Database. Heterogeneity (I2) was assessed using the χ2 test on the Cochran Q statistic and H parameters. A total of 200 prevalence data from 144 articles were included in this meta-analysis. The overall prevalence of HAV in water matrices was 16.7% (95% CI: 13.4–20.3). The prevalence for individual matrix was as follows: 31.4% (95% CI: 23.0–40.4) untreated wastewater, 18.0% (95% CI: 9.5–28.2) treated wastewater, 15.0% (95% CI: 10.1–20.5) surface water, 2.3% (95% CI: 0.1–6.0) in groundwater, 0.3% (95% CI: 0.0–1.7) in drinking water, and 8.5% (95% CI: 3.1–15.6) in other matrices. The prevalence was higher in low-income economies (29.0%). Africa and Eastern Mediterranean were the regions with higher HAV prevalence values. This study showed a high heterogeneity (I2 > 75%) with a significant publication bias (p value Egger test < 0.001). The results of this review suggest that water matrices could be an important route of HAV transmission even in industrialized countries, despite the lower prevalence compared to less industrialized countries, and the availability of advanced water management systems. More effective water/wastewater treatment strategies are needed in developing countries to limit the environmental circulation of HAV.
Power scaling of widely-tunable monochromatic terahertz radiation by stacking high-resistivity GaP plates

A high-resistivity GaP crystal was used to generate monochromatic THz pulses with peak output powers reaching 722 W at 108.1 μm by mixing two coherent beams at about 1 μm based on phase-matched difference-frequency generation. By stacking two and three GaP plates with their second-order nonlinear coefficients being switched between the adjacent ones, we have increased the peak power at 120.3 μm from 433.4 W to 1.36 and 2.36 kW, respectively. 2.36 kW corresponds to the photon conversion efficiency of 25%, which is two orders of magnitude higher than our previous result. In contrast, if they are stacked for having the same sign of the nonlinear coefficients, the wavelength corresponding to the highest peak power is red-shifted to 204.8 and 303.9 μm, respectively. Such a result indicates that there is an optimal interaction length for each specific output wavelength.
Development and characterization of a laminar aerosol flow tube

We have developed a new laminar aerosol flow tube (AFT) to study transformations such as ice nucleation, deliquescence, and efflorescence in model atmospheric aerosols. The apparatus consists of four sections which can be independently cooled to reproduce temperature profiles relevant to the troposphere and stratosphere. An automatic control system maintains the average axial temperature along each section between 100 and 300K, within ±0.1K. Changes in aerosol composition, phase, and size distribution are monitored at the tube exit using infrared spectroscopy (AFT-IR). We used computational fluid dynamics simulations to investigate flow velocity and temperature distributions within the flow tube. Based on these computations, the final design was formulated to eliminate turbulent mixing zones and buoyancy-driven convection cells. The latter can occur even under conditions where the Reynolds number indicates laminar flow. In either case, recirculation causes aerosol residence times and temperature histories.
Low-cost mobile video-based iris recognition for small databases

This paper presents a low-cost method for providing biometric verification for applications that do not require large database sizes. Existing portable iris recognition systems are typically self-contained and expensive. For some applications, low cost is more important than extremely discerning matching ability. In these instances, the proposed system could be implemented at low cost, with adequate matching performance for verification. Additionally, the proposed system could be used in conjunction with any image based biometric identification system. A prototype system was developed and tested on a small database, with promising preliminary results.
Emotional Expressivity is a Reliable Signal of Surprise

We consider the problem of inferring what happened to a person in a social task from momentary facial reactions. To approach this, we introduce several innovations. First, rather than predicting what (observers think) someone feels, we predict objective features of the event that immediately preceded the facial reactions. Second, we draw on appraisal theory, a key psychological theory of emotion, to characterize features of this immediately-preceded event. Specifically, we explore if facial expressions reveal if the event is expected, goal-congruent, and norm-compatible. Finally, we argue that emotional expressivity serves as a better feature for characterizing momentary expressions than traditional facial features. Specifically, we use supervised machine learning to predict third-party judgments of emotional expressivity with high accuracy, and show this model improves inferences about the nature of the event that preceded an emotional reaction. Contrary to common sense, “genuine smiles” failed to predict if an event advanced a person’s goals. Rather, expressions best revealed if an event violated expectations. We discussed the implications of these findings for the interpretation of facial displays and potential limitations that could impact the generality of these findings.
Hand to sensor calibration: A geometrical interpretation of the matrix equation AX = XB

In this paper, the matrix equation AX=XB used for hand to sensor calibration of robot-mounted sensors is analyzed using a geometrical approach. The analysis leads to an original way to describe the properties of the equation and to find all of its solutions. It will also be highlighted why, when multiple instances AiX=XBi (i=1,2,.) of the equation are to be solved simultaneously, the system is overconstrained. Finally, singular cases are also discussed. © 2005 Wiley Periodicals, Inc.
Surface plasmon enhancement in gold nanoparticles in the presence of an optical gain medium: an analysis

The localized surface plasmon (LSP) enhancement in a gold nanoparticle is demonstrated in this paper. The enhancement of LSP is influenced by both size and the dielectric gain medium surrounding the nanoparticles. The nanoparticle is found to induce plasmonic enhancement of varying degrees depending on its size, and it is inferred that a gold nanoparticle of size 60 nm exhibits the maximum LSP for 532 nm excitation. Singularity due to cancellation of SP loss by an infinite gain medium and LSP enhancement are studied using a pump-probe Rayleigh scattering experiment. Gold nanoparticles of average size 60 nm exhibit the lowest threshold power to observe Rayleigh scattering. Furthermore, compared with the bare nanoparticles, a 12.5 fold enhancement of LSP is observed when the nanoparticle of average size 60 nm is kept in the gain medium.
Hemodynamic Features of Cerebral Aneurysms that Influence to Rupture

Figure 2. Energy loss Abstract2 Cerebrovascular diseases are one of the three major mortalities, such as the rupture of cerebral aneurysm. Currently, however, there is no certain quantitative method to evaluate risk of rupture. We utilized Computational fluid dynamic (CFD) technology to understand difference of hemodynamic condition between stable unruptured aneurysms and those that ruptured during the observation that followed. The hemodynamic characteristics; energy losses (EL), were calculated under 100 aneurysms and the results indicated that there are more than five times difference from ruptured and unruptured aneurysms. According to flow visualization, the flow inside ruptured aneurysms appeared stronger impact on the aneurysm wall. These results indicate that EL and recirculation time may be an useful parameter to quantitatively estimate the risks of ruptured of cerebral aneurysm.