Miracle-dz/UniFAR-FTUs huggingface dataset:
A GaN-Based Wireless Monitoring System for High-Temperature Applications

A fully-integrated data transmission system based on gallium nitride (GaN) high-electron-mobility transistor (HEMT) devices is proposed. This system targets high-temperature (HT) applications, especially those involving pressure and temperature sensors for aerospace in which the environmental temperature exceeds 350 °C. The presented system includes a front-end amplifying the sensed signal (gain of 50 V/V), followed by a novel analog-to-digital converter driving a modulator exploiting the load-shift keying technique. An oscillation frequency of 1.5 MHz is used to ensure a robust wireless transmission through metallic-based barriers. To retrieve the data, a new demodulator architecture based on digital circuits is proposed. A 1 V amplitude difference can be detected between a high-amplitude (data-on) and a low-amplitude (data-off) of the received modulated signal. Two high-voltage supply levels (+14 V and −14 V) are required to operate the circuits. The layout of the proposed system was completed in a chip occupying 10.8 mm2. The HT characterization and modeling of integrated GaN devices and passive components are performed to ensure the reliability of simulation results. The performance of the various proposed building blocks, as well as the whole system, have been validated by simulation over the projected wide operating temperature range (25–350 °C).
Comparative study of two Chinese versions of Montreal Cognitive Assessment for Screening of Mild Cognitive Impairment

Abstract Our aim was to compare the utility and accuracy of the Chinese Version of Montreal Cognitive Assessment Basic (MoCA-BC) and the Montreal Cognitive Assessment-Beijing Version (MoCA-BJ) in the identification of mild cognitive impairment (MCI) under different education levels. A sample of individuals with MCI (n = 295), Alzheimer's disease (AD; n = 254), and normal controls (NC; n = 259) at 2 Memory Clinics and communities was administered the MoCA-BC, MoCA-BJ, Mini-Mental State Examination (MMSE), and other neuropsychological tests. The discriminant validity of the MoCA-BC and MoCA-BJ as diagnostic instruments was ascertained. The overall discriminant validity for detection of MCI from NC (receiver operating characteristic area under the curve [95% confidence interval]) was that the MoCA-BC (0.95 [0.93, 0.97]) had better sensitivity and accuracy than MoCA-BJ (0.87 [0.84, 0.90]). In addition, we provide an easy to use table that enables the conversion of MoCA-BC to the MoCA-BJ scores or to MMSE scores. The MoCA-BC and MoCA-BJ provided good diagnostic accuracy when compared to MMSE. The MoCA-BC, which was proved to be an appropriate tool when screening for MCI among elderly subjects, can now be compared directly with the MoCA-BJ.
Myocardium Detection by Deep SSAE Feature and Within-Class Neighborhood Preserved Support Vector Classifier and Regressor

Automatic detection of left ventricle myocardium is essential to subsequent cardiac image registration and tissue segmentation. However, it is considered challenging mainly because of the complex and varying shape of the myocardium and surrounding tissues across slices and phases. In this study, a hybrid model is proposed to detect myocardium in cardiac magnetic resonance (MR) images combining region proposal and deep feature classification and regression. The model firstly generates candidate regions using new structural similarity-enhanced supervoxel over-segmentation plus hierarchical clustering. Then it adopts a deep stacked sparse autoencoder (SSAE) network to learn the discriminative deep feature to represent the regions. Finally, the features are fed to train a novel nonlinear within-class neighborhood preserved soft margin support vector (C-SVC) classifier and multiple-output support vector (ε-SVR) regressor for refining the location of myocardium. To improve the stability and generalization, the model also takes hard negative sample mining strategy to fine-tune the SSAE and the classifier. The proposed model with impacts of different components were extensively evaluated and compared to related methods on public cardiac data set. Experimental results verified the effectiveness of proposed integrated components, and demonstrated that it was robust in myocardium localization and outperformed the state-of-the-art methods in terms of typical metrics. This study would be beneficial in some cardiac image processing such as region-of-interest cropping and left ventricle volume measurement.
mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides

Anticancer peptides (ACPs) are promising therapeutic agents for targeting and killing cancer cells. The accurate prediction of ACPs from given peptide sequences remains as an open problem in the field of immunoinformatics. Recently, machine learning algorithms have emerged as a promising tool for helping experimental scientists predict ACPs. However, the performance of existing methods still needs to be improved. In this study, we present a novel approach for the accurate prediction of ACPs, which involves the following two steps: (i) We applied a two-step feature selection protocol on seven feature encodings that cover various aspects of sequence information (composition-based, physicochemical properties and profiles) and obtained their corresponding optimal feature-based models. The resultant predicted probabilities of ACPs were further utilized as feature vectors. (ii) The predicted probability feature vectors were in turn used as an input to support vector machine to develop the final prediction model called mACPpred. Cross-validation analysis showed that the proposed predictor performs significantly better than individual feature encodings. Furthermore, mACPpred significantly outperformed the existing methods compared in this study when objectively evaluated on an independent dataset.
Landscape structure and ecosystem conservation: an assessment using remote sensing

University of OtagoDepartment of Information ScienceThe Department of Information Science is one of six departments that make up the Division of Commerce atthe University of Otago. The department offers courses of study leading to a major in Information Sciencewithin the BCom, BA and BSc degrees. In addition to undergraduate teaching, the department is alsostrongly involved in postgraduate research programmes leading to MCom, MA, MSc and PhD degrees.Research projects in software engineering and software development, information engineering and database,software metrics, knowledge-based systems, natural language processing, spatial information systems, andinformation systems security are particularly well supported.Discussion Paper Series EditorsEvery paper appearing in this Series has undergone editorial review within the Department of InformationScience. Current members of the Editorial Board are:Assoc. Professor George Benwell Assoc. Professor Nikola KasabovDr Geoffrey Kennedy Dr Stephen MacDonellDr Martin Purvis Professor Philip SallisDr Henry WolfeThe views expressed in this paper are not necessarily the same as those held by members of the editorialboard. The accuracy of the information presented in this paper is the sole responsibility of the authors.CopyrightCopyright remains with the authors. Permission to copy for research or teaching purposes is granted on thecondition that the authors and the Series are given due acknowledgment. Reproduction in any form forpurposes other than research or teaching is forbidden unless prior written permission has been obtained fromthe authors.CorrespondenceThis paper represents work to date and may not necessarily form the basis for the authors’ final conclusionsrelating to this topic. It is likely, however, that the paper will appear in some form in a journal or inconference proceedings in the near future. The authors would be pleased to receive correspondence inconnection with any of the issues raised in this paper, or for subsequent publication details. Please writedirectly to the authors at the address provided below. (Details of final journal/conference publication venuesfor these papers are also provided on the Department’s publications web pages:http://divcom.otago.ac.nz:800/COM/INFOSCI/Publctns/home.htm). Any othercorrespondence concerning the Series should be sent to the DPS Coordinator.Department of Information ScienceUniversity of OtagoP O Box 56DunedinNEW ZEALANDFax: +64 3 479 8311email: dps@infoscience.otago. ac.nzwww: http://divcom.otago. ac.nz:800/com/infosci/
Software development, CASE tools and 4GLs—A survey of New Zealand usage. Part 1: 750 New Zealand organisations

This paper reports the results of a recent national survey which considered the use of CASE tools and 4GLs in commercial software development. Responses from just over 750 organisations show a high degree of product penetration, along with extensive use of package solutions. Use of 3GLs in general, and of COBOL in particular, is still relatively widespread, however. In terms of systems analysis and design techniques under a CASE/4GL environment, screen and report definition is the most preferred technique, although both data flow analysis and data modelling also feature strongly. Address correspondence to: Dr S.G. MacDonell, Research Fellow, Department of Information Science, University of Otago, P.O. Box 56, Dunedin, New Zealand. Fax: +64 3 479 8311 Email: stevemac@commerce.otago. ac.nz
Application of Low-Frequency Raman Scattering Spectroscopy to Probe in Situ Drug Solubilization in Milk during Digestion

We have recently shown that real-time monitoring of drug solubilization and changes to solid state of the drug during digestion of milk can be achieved using synchrotron small-angle X-ray scattering. A complementary laboratory-based method to explore such changes is low-frequency Raman spectroscopy, which has been increasingly used to characterize crystalline drugs and their polymorphs in powders and suspensions. This study investigates the use of this technique to monitor in situ drug solubilization in milk during the process of digestion, using a lipolysis model/flow-through configuration identical to that used previously for in situ synchrotron small-angle X-ray scattering studies. An antimalarial drug, ferroquine (SSR97193), was used as the model drug for this study. The Raman spectra were processed using multivariate analysis to extract the drug signals from the milk digestion background. The results showed disappearance of the ferroquine peaks in the low-frequency Raman region (<200 cm–1) after approximately 15–20 min of digestion when milk fat was present in the system, which indicated drug solubilization and was in good agreement with the in situ small-angle X-ray scattering measurements. This proof-of-concept study therefore suggests that low-frequency Raman spectroscopy can be used to monitor drug solubilization in a complex digesting milk medium because of the unique vibrational modes of the drug crystal lattices.
Syndesmotic Screw Removal in a Clinic Setting Is Safe and Cost-effective

Background. There is no consensus in the literature regarding the necessity of syndesmotic screw removal, but the majority of surgeons prefer screw removal in the operating room. Purpose. The aim of this study is to analyze the safety and cost-effectiveness of syndesmotic screw removal in the clinic. Methods. A retrospective chart review was performed on all acute, traumatic ankle fractures that required syndesmotic stabilization over 5 years at a level 1 trauma center. Radiographs were evaluated for maintenance of syndesmotic reduction. Orthopaedic clinic visits and operating room costs were calculated. Results. Of 269 patients, syndesmotic screws were successfully removed in the clinic in 170 patients and retained in 99 patients. Two superficial infections (1.2%) developed following screw removal. The superficial infection rate was 3.3% (2 of 60) in patients who did not receive antibiotics compared with 0% (0 of 110) in patients who received antibiotics (P = .12). No patient lost syndesmotic reduction after screw removal. Cost savings of $13 829 per patient were achieved by syndesmotic screw removal in the clinic. Conclusion. Our study demonstrates that syndesmotic screw removal in the clinic is safe, does not result in tibiofibular diastasis, is cost-effective, and results in substantial financial savings. Level of Evidence: Level IV
Medicago TERPENE SYNTHASE 10 Is Involved in Defense Against an Oomycete Root Pathogen1[OPEN]

Inoculating Medicago truncatula roots with Aphanomyces euteiches spores leads to rapid upregulation of MtTPS10 and release of sesquiterpenes that may have a defense function against this oomycete. In nature, plants interact with numerous beneficial or pathogenic soil-borne microorganisms. Plants have developed various defense strategies to expel pathogenic microbes, some of which function soon after pathogen infection. We used Medicago truncatula and its oomycete pathogen Aphanomyces euteiches to elucidate early responses of the infected root. A. euteiches causes root rot disease in legumes and is a limiting factor in legume production. Transcript profiling of seedlings and adult plant roots inoculated with A. euteiches zoospores for 2 h revealed specific upregulation of a gene encoding a putative sesquiterpene synthase (M. truncatula TERPENE SYNTHASE 10 [MtTPS10]) in both developmental stages. MtTPS10 was specifically expressed in roots upon oomycete infection. Heterologous expression of MtTPS10 in yeast led to production of a blend of sesquiterpenes and sesquiterpene alcohols, with NMR identifying a major peak corresponding to himalachol. Moreover, plants carrying a tobacco (Nicotiana tabacum) retrotransposon Tnt1 insertion in MtTPS10 lacked the emission of sesquiterpenes upon A. euteiches infection, supporting the assumption that the identified gene encodes a multiproduct sesquiterpene synthase. Mttps10 plants and plants with reduced MtTPS10 transcript levels created by expression of an MtTPS10-artificial microRNA in roots were more susceptible to A. euteiches infection than were the corresponding wild-type plants and roots transformed with the empty vector, respectively. Sesquiterpenes produced by expression of MtTPS10 in yeast also inhibited mycelial growth and A. euteiches zoospore germination. These data suggest that sesquiterpene production in roots by MtTPS10 plays a previously unrecognized role in the defense response of M. truncatula against A. euteiches.
InAs/InAsSb Strain-Balanced Superlattices for Longwave Infrared Detectors

The InAs/InAsSb type-II superlattices (T2SLs) grown on a GaSb buffer layer and GaAs substrates were theoretically investigated. Due to the stability at high operating temperatures, T2SLs could be used for detectors operating in the longwave infrared (LWIR) range for different sensors to include, e.g., CH4 and C2H6 detection, which is very relevant for health condition monitoring. The theoretical calculations were carried out by the 8 × 8 k·p method. The estimated electrons and heavy holes probability distribution in a InAs/InAsSb superlattice (SL) shows that the wave function overlap increases while the thickness of the SL period decreases. The change in the effective masses for electrons and holes versus the SL period thickness for the kz-direction of the Brillouin zone is shown. The structures with a period lower than 15 nm are more optimal for the construction of LWIR detectors based on InAs/InAsSb SLs. The experimental results of InAs/InAsSb T2SLs energy bandgap were found to be comparable with the theoretical one. The proper fitting of theoretically calculated and experimentally measured spectral response characteristics in terms of a strain-balanced and unbalanced structures is shown.
Inhibition of aerobic glycolysis enhances the anti‐tumor efficacy of Zoptarelin Doxorubicin in triple‐negative breast cancer cells

A characteristic of cancer cells including triple‐negative breast cancers (TNBC) is an increased aerobic glycolysis for ATP production representing a selective therapeutic target. More than 70% of TNBC express gonadotropin‐releasing hormone receptors (GnRH‐R). These receptors can be used for targeted chemotherapy with cytotoxic GnRH agonists such as Zoptarelin Doxorubicin, in which doxorubicin is covalently linked to [D‐Lys6]GnRH. In this study, we have analyzed whether inhibition of aerobic glycolysis can enhance the antitumor efficacy of GnRH‐R‐targeted chemotherapy using Zoptarelin Doxorubicin.
The Security of Big Data in Fog-Enabled IoT Applications Including Blockchain: A Survey

The proliferation of inter-connected devices in critical industries, such as healthcare and power grid, is changing the perception of what constitutes critical infrastructure. The rising interconnectedness of new critical industries is driven by the growing demand for seamless access to information as the world becomes more mobile and connected and as the Internet of Things (IoT) grows. Critical industries are essential to the foundation of today’s society, and interruption of service in any of these sectors can reverberate through other sectors and even around the globe. In today’s hyper-connected world, the critical infrastructure is more vulnerable than ever to cyber threats, whether state sponsored, criminal groups or individuals. As the number of interconnected devices increases, the number of potential access points for hackers to disrupt critical infrastructure grows. This new attack surface emerges from fundamental changes in the critical infrastructure of organizations technology systems. This paper aims to improve understanding the challenges to secure future digital infrastructure while it is still evolving. After introducing the infrastructure generating big data, the functionality-based fog architecture is defined. In addition, a comprehensive review of security requirements in fog-enabled IoT systems is presented. Then, an in-depth analysis of the fog computing security challenges and big data privacy and trust concerns in relation to fog-enabled IoT are given. We also discuss blockchain as a key enabler to address many security related issues in IoT and consider closely the complementary interrelationships between blockchain and fog computing. In this context, this work formalizes the task of securing big data and its scope, provides a taxonomy to categories threats to fog-based IoT systems, presents a comprehensive comparison of state-of-the-art contributions in the field according to their security service and recommends promising research directions for future investigations.
Anti-NMDA receptor encephalitis: two case reports associated with ovarian teratoma and a literature review

Javier Sancho-Sa uco , Virginia Corraliza-Gal an, Jesus L azaro-Carrasco de la Fuente, Concepcion S anchezMart ınez, Irene Pelayo-Delgado, Maria Jesus De Pablos-Antona, Elena Cabezas-L opez and Juan Carlos Garc ıa-P erez Department of Obstetrics and Gynecology, Ram on y Cajal University Hospital, University of Alcal a, Madrid, Spain; Department of General and Gastrointestinal Surgery, Ram on y Cajal University Hospital, University of Alcal a, Madrid, Spain
LITTLE-o CONVERGENCE RATES FOR SEVERAL ALTERNATING MINIMIZATION METHODS

Alternating minimization is an eﬃcient method for solving convex minimization problems whose objective function is a sum of a diﬀerentiable function and a separable nonsmooth function. Variants and extensions of the alternating minimization method have been developed in recent years. In this paper, we consider the convergence rate of several existing alternating minimization schemes. We improve the proven big-O convergence rate of these algorithms to little-o under an error bound condition which is actually quite common in many applications. We also investigate the convergence of a variant of alternating minimization proposed in this paper.
Anti-Apoptotic Effects of Recombinant Human Hepatocyte Growth Factor on Hepatocytes Were Associated with Intrahepatic Hemorrhage Suppression Indicated by the Preservation of Prothrombin Time

Hepatocyte growth factor (HGF) is an endogenously expressed bioactive substance that has a strong anti-apoptotic effect. In this study, we biochemically and histologically characterized the effects of rh-HGF on in vitro human hepatocyte injury and mouse acute liver failure (ALF) models, both of which were induced by antibody-mediated Fas signaling. rh-HGF inhibited intracellular caspase-3/7 activation and cytokeratin 18 (CK-18) fragment release in both models. Histologically, rh-HGF dramatically suppressed parenchymal damage and intrahepatic hemorrhage. Among the laboratory parameters, prothrombin time (PT) was strongly preserved by rh-HGF, and PT was well correlated with the degree of intrahepatic hemorrhage. These results showed that the anti-apoptotic effect of rh-HGF on hepatocytes coincided strikingly with the suppression of intrahepatic hemorrhage. PT was considered to be the best parameter that correlated with the intrahepatic hemorrhages associated with hepatocellular damage. The action of rh-HGF might derive not only from its anti-apoptosis effects on liver parenchymal cells but also from its stabilization of structural and vasculature integrity.
Disruption of Structural Disulfides of Coagulation FXIII-B Subunit; Functional Implications for a Rare Bleeding Disorder

Congenital FXIII deficiency is a rare bleeding disorder in which mutations are detected in F13A1 and F13B genes that express the two subunits of coagulation FXIII, the catalytic FXIII-A, and protective FXIII-B. Mutations in FXIII-B subunit are considerably rarer compared to FXIII-A. Three mutations in the F13B gene have been reported on its structural disulfide bonds. In the present study, we investigate the structural and functional importance of all 20 structural disulfide bonds in FXIII-B subunit. All disulfide bonds were ablated by individually mutating one of its contributory cysteine’s, and these variants were transiently expressed in HEK293t cell lines. The expression products were studied for stability, secretion, the effect on oligomeric state, and on FXIII-A activation. The structural flexibility of these disulfide bonds was studied using classical MD simulation performed on a FXIII-B subunit monomer model. All 20 FXIII-B were found to be important for the secretion and stability of the protein since ablation of any of these led to a secretion deficit. However, the degree of effect that the disruption of disulfide bond had on the protein differed between individual disulfide bonds reflecting a functional hierarchy/diversity within these disulfide bonds.