bluuebunny/crossref_metadata_2025 huggingface dataset:
Placebos without deception reduce self-report and neural measures of emotional distress
Authors: Guevarra Darwin A. , Moser Jason S. , Wager Tor D. , Kross Ethan
Published: July 2020

Several recent studies suggest that placebos administered without deception (i.e., non-deceptive placebos) can help people manage a variety of highly distressing clinical disorders and nonclinical impairments. However, whether non-deceptive placebos represent genuine psychobiological effects is unknown. Here we address this issue by demonstrating across two experiments that during a highly arousing negative picture viewing task, non-deceptive placebos reduce both a self-report and neural measure of emotional distress, the late positive potential. These results show that non-deceptive placebo effects are not merely a product of response bias. Additionally, they provide insight into the neural time course of non-deceptive placebo effects on emotional distress and the psychological mechanisms that explain how they function.
Author Correction: The long non-coding RNA HOXB-AS3 regulates ribosomal RNA transcription in NPM1-mutated acute myeloid leukemia
Authors: Papaioannou Dimitrios , Petri Andreas , Dovey Oliver M. , Terreri Sara , Wang Eric , Collins Frances A. , Woodward Lauren A. , Walker Allison E. , Nicolet Deedra , Pepe Felice , Kumchala Prasanthi , Bill Marius , Walker Christopher J. , Karunasiri Malith , Mrózek Krzysztof , Gardner Miranda L. , Camilotto Virginia , Zitzer Nina , Cooper Jonathan L. , Cai Xiongwei , Rong-Mullins Xiaoqing , Kohlschmidt Jessica , Archer Kellie J. , Freitas Michael A. , Zheng Yi , Lee Robert J. , Aifantis Iannis , Vassiliou George , Singh Guramrit , Kauppinen Sakari , Bloomfield Clara D. , Dorrance Adrienne M. , Garzon Ramiro
Published: July 2020

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
An improved symmetry-based approach to reciprocal space path selection in band structure calculations
Authors: Munro Jason M. , Latimer Katherine , Horton Matthew K. , Dwaraknath Shyam , Persson Kristin A.
Published: July 2020

Band structures for electrons, phonons, and other quasiparticles are often an important aspect of describing the physical properties of periodic solids. Most commonly, energy bands are computed along a one-dimensional path of high-symmetry points and line segments in reciprocal space (the “k-path”), which are assumed to pass through important features of the dispersion landscape. However, existing methods for choosing this path rely on tabulated lists of high-symmetry points and line segments in the first Brillouin zone, determined using different symmetry criteria and unit cell conventions. Here we present a new “on-the-fly” symmetry-based approach to obtaining paths in reciprocal space that attempts to address the previous limitations of these conventions. Given a unit cell of a magnetic or nonmagnetic periodic solid, the site symmetry groups of points and line segments in the irreducible Brillouin zone are obtained from the total space group. The elements in these groups are used alongside general and maximally inclusive high-symmetry criteria to choose segments for the final k-path. A smooth path connecting each segment is obtained using graph theory. This new framework not only allows for increased flexibility and user convenience but also identifies notable overlooked features in certain electronic band structures. In addition, a more intelligent and efficient method for analyzing magnetic materials is also enabled through proper accommodation of magnetic symmetry.
Robust energy-selective tunneling readout of singlet-triplet qubits under large magnetic field gradient
Authors: Jang Wonjin , Kim Jehyun , Cho Min-Kyun , Chung Hwanchul , Park Sanghyeok , Eom Jaeun , Umansky Vladimir , Chung Yunchul , Kim Dohun
Published: July 2020

Fast and high-fidelity quantum state detection is essential for building robust spin-based quantum information processing platforms in semiconductors. The Pauli spin blockade (PSB)-based spin-to-charge conversion and its variants are widely used for the spin state discrimination of two-electron singlet–triplet (ST0) qubits; however, the single-shot measurement fidelity is limited by either the low signal contrast, or the short lifetime of the triplet state at the PSB energy detuning, especially due to strong mixing with singlet states at large magnetic field gradients. Ultimately, the limited single-shot measurement fidelity leads to low visibility of quantum operations. Here, we demonstrate an alternative method to achieve spin-to-charge conversion of ST0 qubit states using energy-selective tunneling between doubly occupied quantum dots (QDs) and electron reservoirs. We demonstrate a single-shot measurement fidelity of 90% and an S–T0 oscillation visibility of 81% at a field gradient of 100 mT (~500 MHz h (g*·μB)−1); this allows single-shot readout with full electron charge signal contrast and, at the same time, long and tunable measurement time with negligible effect of relaxation even at strong magnetic field gradients. Using an rf-sensor positioned opposite to the QD array, we apply this method to two ST0 qubits and show high-visibility readout of two individual single-qubit gate operations is possible with a single rf single-electron transistor sensor. We expect our measurement scheme for two-electron spin states can be applied to various hosting materials and provides a simplified and complementary route for multiple qubit state detection with high accuracy in QD-based quantum computing platforms.
Mathematical model of blood glucose dynamics by emulating the pathophysiology of glucose metabolism in type 2 diabetes mellitus
Authors: López-Palau Nelida Elizabeth , Olais-Govea José Manuel
Published: July 2020

Mathematical modelling has established itself as a theoretical tool to understand fundamental aspects of a variety of medical-biological phenomena. The predictive power of mathematical models on some chronic conditions has been helpful in its proper prevention, diagnosis, and treatment. Such is the case of the modelling of glycaemic dynamics in type 2 diabetes mellitus (T2DM), whose physiology-based mathematical models have captured the metabolic abnormalities of this disease. Through a physiology-based pharmacokinetic-pharmacodynamic approach, this work addresses a mathematical model whose structure starts from a model of blood glucose dynamics in healthy humans. This proposal is capable of emulating the pathophysiology of T2DM metabolism, including the effect of gastric emptying and insulin enhancing effect due to incretin hormones. The incorporation of these effects lies in the implemented methodology since the mathematical functions that represent metabolic rates, with a relevant contribution to hyperglycaemia, are adjusting individually to the clinical data of patients with T2DM. Numerically, the resulting model successfully simulates a scheduled graded intravenous glucose test and oral glucose tolerance tests at different doses. The comparison between simulations and clinical data shows an acceptable description of the blood glucose dynamics in T2DM. It opens the possibility of using this model to develop model-based controllers for the regulation of blood glucose in T2DM.
Oral administration of Cystine and Theanine ameliorates oxaliplatin-induced chronic peripheral neuropathy in rodents
Authors: Kawashiri Takehiro , Kobayashi Daisuke , Egashira Nobuaki , Tsuchiya Takashi , Shimazoe Takao
Published: July 2020

Oxaliplatin frequently causes severe peripheral neuropathy as a dose-limiting toxicity. However, this toxicity lacks a strategy for prevention. Cystine/Theanine is a supplement, which includes precursors for the biosynthesis of glutathione. In this study, we investigated the effects of Cystine/Theanine on oxaliplatin-induced peripheral neuropathy using an in vivo model. Repeated injection of oxaliplatin (4 mg/kg intraperitoneally twice a week for 2 weeks) caused mechanical allodynia, cold hyperalgesia and axonal degeneration of the sciatic nerve in rats. Mechanical allodynia and axonal degeneration, but not cold hyperalgesia, were ameliorated by daily co-administration of Cystine [200 mg/kg orally (p.o.)] and Theanine (80 mg/kg p.o.). Moreover, co-administration of Cystine and Theanine to rats significantly increased the glutathione level in the sciatic nerve compared with the oxaliplatin group. Furthermore, Cystine and Theanine did not attenuate the tumour cytotoxicity of oxaliplatin in C-26 tumour cell-bearing mice. These findings suggest that Cystine and Theanine may be beneficial for preventing oxaliplatin-induced peripheral neuropathy.
Highly stretchable sensing array for independent detection of pressure and strain exploiting structural and resistive control
Authors: Matsuda Ryosuke , Mizuguchi Satoru , Nakamura Fumika , Endo Takuma , Isoda Yutaka , Inamori Go , Ota Hiroki
Published: July 2020

Stretchable physical sensors are crucial for the development of advanced electrical systems, particularly wearable devices and soft robotics. Currently available stretchable sensors that detect both pressure and strain are based on piezoelectric, piezoresistive, or piezocapacitive effects. The range of pressure sensing is 1–800 kPa with large deformations being within the range of deformations of parts of the human body, such as elbows and knees. However, these devices cannot easily allow simultaneous and independent detection of pressure and strain with sensor arrays at large tensions (> 50%) because strain affects the pressure signal. In this study, we propose a monolithic silicone-based array of pressure and strain sensors that can simultaneously and independently detect the in-plane biaxial tensile deformation and pressure. To realize these functionalities, the deformation of the device structure was optimized using a hetero-silicone substrate made of two types of silicone with different hardness characteristics and porous silicone bodies. In addition, the resistances of the sensors were controlled by adjusting a mixture based on carbon nanoparticles to improve the sensitivity and independence between the pressure and strain sensors. These concepts demonstrate the potential of this approach and its compatibility with the current architectures of stretchable physical sensors.
Analysis of regional economic development based on land use and land cover change information derived from Landsat imagery
Authors: Chen Chao , He Xinyue , Liu Zhisong , Sun Weiwei , Dong Heng , Chu Yanli
Published: July 2020

The monitoring of economic activities is of great significance for understanding regional economic development level and policymaking. As the carrier of economic activities, land resource is an indispensable production factor of economic development, and economic growth leads to increased demand for land as well as changes in land utilization form. As an important means of earth observation, remote-sensing technology can obtain the information of land use and land cover change (LUCC) related to economic activities. This study proposes a method for analysing regional economic situations based on remote-sensing technology, from which LUCC information extraction, sensitivity factor selection, model construction and accuracy evaluation were implemented. This approach was validated with experiments in Zhoushan City, China. The results show that the economic statistical index is most sensitive to the construction land area, and the average correlation coefficient between the actual data and the predicted data is 0.949, and the average of mean relative error is 14.21%. Therefore, this paper suggests that LUCC could be utilised as an explanatory indicator for estimating economic development at the regional level, and the potential applications of remotely-sensed image in economic activity monitoring are worth pursuing.
Glial restricted precursor delivery of dendrimer N-acetylcysteine promotes migration and differentiation following transplant in mouse white matter injury model
Authors: Nemeth Christina L. , Tomlinson Sophia N. , Sharma Rishi , Sharma Anjali , Kannan Sujatha , Kannan Rangaramanujam M. , Fatemi Ali
Published: July 2020

Dendrimer-NAC improves the long-term engraftment of transplanted cells to the brain, suggesting targeted nanotherapeutic support may eliminate the need for overt immunosuppression or multiple invasive procedures in regenerative therapies.
High-throughput metabolomic method based on liquid chromatography: high resolution mass spectrometry with chemometrics for metabolic biomarkers and pathway analysis to reveal the protective effects of baicalin on thyroid cancer
Authors: Du Hong-wei , Cong Wei , Wang Bin , Zhao Xin-lei , Meng Xiang-cai
Published: July 2020

Cell metabonomics focuses on discovering metabolic biomarkers and pathway changes in cells from biological systems to obtain the cell properties and functional information under different conditions.
Miniaturized vortex assisted-dispersive molecularly imprinted polymer micro-solid phase extraction and HPLC-MS/MS for assessing trace aflatoxins in cultured fish
Authors: Jayasinghe G. D. Thilini Madurangika , Domínguez-González Raquel , Bermejo-Barrera Pilar , Moreda-Piñeiro Antonio
Published: July 2020

A dispersive micro-solid phase extraction approach using a molecularly imprinted polymer as an adsorbent has been developed for pre-concentrating aflatoxins from cultured fish.
Correction: Design, development, testing at ISO standards and in vivo feasibility study of a novel polymeric heart valve prosthesis
Authors: Stasiak Joanna R. , Serrani Marta , Biral Eugenia , Taylor James V. , Zaman Azfar G. , Jones Samantha , Ness Thomas , De Gaetano Francesco , Costantino Maria Laura , Bruno Vito D. , Suleiman Saadeh , Ascione Raimondo , Moggridge Geoff D.
Published: July 2020

Correction for ‘Design, development, testing at ISO standards and in vivo feasibility study of a novel polymeric heart valve prosthesis’ by Joanna R. Stasiak et al., Biomater. Sci., 2020, DOI: 10.1039/d0bm00412j.
Design of Pt/SAPO-11 bifunctional catalyst with superior metal–acid balance constructed via a novel one-step pre-loading strategy for enhancing n-dodecane hydroisomerization performance
Authors: Du Yanyan , Yao Heliang , Hu Wenjing , Tan Yangchun , Xu Yanhui , Fu Wenjia , Yuan Long , Li Jiusheng
Published: July 2020

This novel pre-loading method is a simple method for the design of bifunctional catalysts with high product yield, which exhibits superior metal–support balance, liquid yield of 99% and isomer yield of 84% on n-dodecane hydroisomerization.
The role of photoinduced charge transfer for photocatalysis, photoelectrocatalysis and luminescence sensing in metal–organic frameworks
Authors: Li Xinlin , Surendran Rajasree Sreehari , Yu Jierui , Deria Pravas
Published: July 2020

Understanding PCT taking place within MOFs is crucial for designing porous photo/electrocatalysts and luminescent sensors. Unique features of PCT in MOFs and recent progress along with state-of-the-art characterization methods are discussed in the context of its applications.
Sunlight-driven atmospheric water capture capacity is enhanced by nano-enabled photothermal desiccants
Authors: Mulchandani Anjali , Malinda Shannon , Edberg Justin , Westerhoff Paul
Published: July 2020

Atmospheric water capture (AWC) is an alternative method of localized water production whereby water vapor is removed from air to produce drinking water.
Kaempferol fromPenthorum chinensePursh suppresses HMGB1/TLR4/NF-κB signaling and NLRP3 inflammasome activation in acetaminophen-induced hepatotoxicity
Authors: Du Yi-Chao , Lai Li , Zhang Hao , Zhong Fu-Rui , Cheng Huan-Li , Qian Bao-Lin , Tan Peng , Xia Xian-Ming , Fu Wen-Guang
Published: July 2020

In this study, kaempferol (KA) ameliorates APAP-induced hepatotoxicity by activating HO-1/NQO1 and inhibiting HMGB1/TLR4/NF-κB signaling and NLRP3 inflammasome activation.
A chondroprotective effect of moracin on IL-1β-induced primary rat chondrocytes and an osteoarthritis rat model through Nrf2/HO-1 and NF-κB axes
Authors: Zhou Siqi , Shi Jiaqi , Wen Haiyan , Xie Wei , Han Xiaotao , Li Haohuan
Published: July 2020

Moracin reduced the development of knee osteoarthritis in ratsviaits anti-inflammatory effect.
Negative differential transconductance device with a stepped gate dielectric for multi-valued logic circuits
Authors: Andreev Maksim , Choi Jae-Woong , Koo Jiwan , Kim Hyeongjun , Jung Sooyoung , Kim Kwan-Ho , Park Jin-Hong
Published: July 2020

An extensible and tunable concept of WSe2-based negative differential transconductance devices for computational multi-valued logic systems of various radices.
Role of carrier-transfer in the optical nonlinearity of graphene/Bi2Te3 heterojunctions
Authors: Lan Jia-Chi , Qiao Junpeng , Sung Wei-Heng , Chen Chun-Hu , Jhang Ren-Huai , Lin Shi-Hsin , Ng Li-Ren , Liang Gengchiau , Wu Meng-Yu , Tu Li-Wei , Cheng Cheng-Maw , Liu Hong , Lee Chao-Kuei
Published: July 2020

By fabricating graphene/Bi2Te3 heterojunction, the mechanism of carrier-transfer resulting in enhanced optical nonlinearity was investigated. The rapid over-saturation of Bi2Te3 is solved and a better performance is acquired in Q-switched laser.
From mono-PEGylation towards anti-nonspecific protein interaction: comparison of dihydrolipoic acid versus glutathione-capped fluorescent gold nanoclusters using gel electrophoresis
Authors: Hou Tzu-Yin , Shao Fang-Yu , Sun Yi-Tang , Yang Kai-Shiang , Chang Walter H. , Lin Cheng-An J.
Published: July 2020

Comparison of two promising candidates for future nanomedicine, i.e. DHLA- versus GSH-capped AuNCs, was conducted for the first time to clarify their polyethylene glycol-related bioconjugate chemistry (PEGylation) and protein interactions.
Controlled release of anti-VEGF by redox-responsive polydopamine nanoparticles
Authors: Jiang Pengfei , Choi Andrew , Swindle-Reilly Katelyn E.
Published: July 2020

A nanoparticle delivery system was developed to scavenge reactive oxygen species (ROS) and trigger release of anti-VEGF (vascular endothelial growth factor), treating two disease mechanisms associated with age-related macular degeneration (AMD).
Wearable electronics for heating and sensing based on a multifunctional PET/silver nanowire/PDMS yarn
Authors: Yang Zhonglin , Wang Wenwen , Bi Lili , Chen Liangjun , Wang Guixin , Chen Guinan , Ye Cui , Pan Jun
Published: July 2020

Stretchable and flexible electronics built from multifunctional fibres are essential for devices in human–machine interactions, human motion monitoring and personal healthcare.
Direct nanofluidic channels via hardening and wrinkling of thin polymer films
Authors: Lee Jae Hyung , Chang Won Jun , Choi Won Young , Park Jeong-Min , Jang Jae-il , Park Won Il
Published: July 2020

A rational route to create wrinkling patterns with individually controllable location and direction in thin polymer films.
Using HAADF-STEM for atomic-scale evaluation of incorporation of antibacterial Ag atoms in a β-tricalcium phosphate structure
Authors: Gokcekaya Ozkan , Ueda Kyosuke , Narushima Takayuki , Nakano Takayoshi
Published: July 2020

HAADF-STEM technique is introduced to locate the incorporated antibacterial Ag atoms in beam-sensitive β-TCP structure.
Synthesis and sequential diastereoselective incorporation of hydroxyl groups into hexahydrofuro[3,2-f]indolizin-7(2H)-one to give mono-, di- and tetra-hydroxyfuroindolizidines
Authors: Šafář Peter , Marchalín Štefan , Cvečko Matej , Moncol Ján , Dujnič Viera , Šoral Michal , Daïch Adam
Published: July 2020

Sequential synthesis of a series of furan-fused bicyclic iminosugar derivatives such as mono-, di- and tetrahydroxyfurano-indolizidines has been developed.
Cationic amphiphilic alternating copolymers with tunable morphology
Authors: Zhang Jingling , Yu Xiaoxi , Zheng Bingqian , Shen Jiachun , Bhatia Surita R. , Sampson Nicole S.
Published: July 2020

A series of ionic amphiphilic alternating copolymers were characterized via SAXS, TEM and DLS to understand how factors such as covalent structure, and solvent environment affect self-assembly.
Design of core–shell phosphors with tunable luminescence and improved thermal stability by coating with g-C3N4
Authors: Zhu Yingli , Li Xiangcheng , Zhu Boquan , Liang Yujun
Published: July 2020

We propose and demonstrate a novel methodology of coating g-C3N4 on phosphors by a vapor deposition method to synthesize core–shell phosphors with tunable luminescence and improved thermal stability.
Two urea-functionalized pcu metal–organic frameworks based on a pillared-layer strategy for gas adsorption and separation
Authors: Qiao Junyi , Liu Xueshibojie , Liu Xin , Liu Xinyao , Zhang Lirong , Liu Yunling
Published: July 2020

Two pcu type Cu-MOFs based on urea-functionalized ligands have been synthesized by a pillared-layer strategy. Compound 1 shows good adsorption and separation behaviors of CO2, C2H6, and C3H8 over CH4, compound 2 exhibits a gate-opening behavior for N2 adsorption.
Ammonia dynamic modelling over Cu-SSZ-13 catalyst for NOx emission control in diesel vehicles
Authors: Liu Biao , Yao Dongwei , Wu Feng , Hu Xiaohan , Li Yuxi , Wang Xinlei
Published: July 2020

Based on the ammonia storage mechanism over Cu-SSZ-13 catalyst, a temperature-dependent heterogeneity constant was introduced in the dual-site model, and was compared with traditional dual-site and multi-site model based on a series NH3-TPD tests in this work.
A ratiometric fluorescent probe for real-time monitoring of intracellular glutathione fluctuations in response to cisplatin
Authors: Liu Hanzhuang , Song Wenting , Zhang Shuren , Chan Kin Shing , Guo Zijian , Shen Zhen
Published: July 2020

Real-time imaging of intracellular glutathione in response to cisplatin by a ratiometric fluorescent probe reveals that the different trends in intracellular GSH levels is crucial in distinguishing cisplatin-resistant from cisplatin-sensitive cells.
Enthalpic and entropic contributions to the basicity of cycloalkylamines
Authors: Perrin Charles L. , Shrinidhi Annadka
Published: July 2020

Large-ring cycloalkylamines are slightly less basic than other cycloalkylamines such as cyclohexylamine, even though all have tetrahedral carbons and are strain-free.
The improvement of photocatalytic performance for hydrogen evolution over mesoporous g-C3N4 modified with nitrogen defects
Authors: Liang Lei , Shi Lei , Wang Fangxiao , Wang Haihua , Qi Wei
Published: July 2020

Nitrogen defect-modified mesoporous g-C3N4 exhibits excellent photocatalytic ability for water splitting H2 evolution.
Structural evolution of dispersed hydrophobic association in a hydrogel analyzed by the tensile behavior
Authors: Zhao Liang , Wang Shuting , Yang Zican , Tian Luming , Gao Liang , Shi Xuetao
Published: July 2020

The use of dispersed cross-links with different levels of strength is one of the most successful strategies for toughening a hydrogel.
Maximizing pore and heteroatom utilization within N,P-co-doped polypyrrole-derived carbon nanotubes for high-performance supercapacitors
Authors: Luo Xinying , Yang Qi , Dong Yanli , Huang Xiaoxiong , Kong Debin , Wang Bin , Liu Huimin , Xiao Zhichang , Zhi Linjie
Published: July 2020

Maximized utilization of pores and heteroatom functionalities is successfully achieved within the strategically engineered N,P-co-doped polypyrrole-derived carbon nanotube system.
Making a mark: the role of RNA modifications in plant biology
Authors: Parker Matthew T. , Knop Katarzyna , Simpson Gordon G.
Published: July 2020

Plants coordinate their growth and development through complex regulatory networks involving changes in the expression of thousands of genes. Many developmental pathways are regulated at the level of messenger RNA (mRNA) through alternative choices in mRNA processing. These choices can have consequences for the localization, stability or translatability of mRNAs. One of the key ways in which RNAs are processed is by the methylation of the RNA base adenosine – a modification known as m6A. Even though it was first discovered in the 1970s, the biological significance of m6A marks has only recently become clear. In this feature article, we identify the factors controlling the writing and reading of m6A modifications in plants. We also highlight some of the features of plant development that depend on m6A and explore the recently discovered molecular mechanisms that use m6A to control development or response to environmental stress.
Loss of Mef2D function enhances TLR induced IL-10 production in macrophages
Authors: Pattison Michael J. , Naik Rangeetha Jayaprakash , Reyskens Kathleen M.S.E. , Arthur J. Simon C.
Published: July 2020

Mef2 transcription factors comprise a family of four different isoforms that regulate a number of processes including neuronal and muscle development. While roles for Mef2C and Mef2D have been described in B-cell development their role in immunity has not been extensively studied. In innate immune cells such as macrophages, TLRs drive the production of both pro- and anti-inflammatory cytokines. IL-10 is an important anti-inflammatory cytokine produced by macrophages and it establishes an autocrine feedback loop to inhibit pro-inflammatory cytokine production. We show here that macrophages from Mef2D knockout mice have elevated levels of IL-10 mRNA induction compared with wild-type cells following LPS stimulation. The secretion of IL-10 was also higher from Mef2D knockout macrophages and this correlated to a reduction in the secretion of TNF, IL-6 and IL-12p40. The use of an IL-10 neutralising antibody showed that this reduction in pro-inflammatory cytokine production in the Mef2D knockouts was IL-10 dependent. As the IL-10 promoter has previously been reported to contain a potential binding site for Mef2D, it is possible that the binding of other Mef2 isoforms in the absence of Mef2D may result in a higher activation of the IL-10 gene. Further studies with compound Mef2 isoforms would be required to address this. We also show that Mef2D is highly expressed in the thymus, but that loss of Mef2D does not affect thymic T-cell development or the production of IFNγ from CD8 T cells.
Features, Functionality, and Acceptability of Internet-Based Cognitive Behavioral Therapy for Tinnitus in the United States
Authors: Manchaiah Vinaya , Vlaescu George , Varadaraj Srinivas , Aronson Elizabeth Parks , Fagelson Marc A. , Munoz Maria F. , Andersson Gerhard , Beukes Eldré W.
Published: July 2020

Objective

Although tinnitus is one of the most commonly reported symptoms in the general population, patients with bothersome tinnitus are challenged by issues related to accessibility of care and intervention options that lack strong evidence to support their use. Therefore, creative ways of delivering evidence-based interventions are necessary. Internet-based cognitive behavioral therapy (ICBT) demonstrates potential as a means of delivering this support but is not currently available in the United States. This article discusses the adaptation of an ICBT intervention, originally used in Sweden, Germany, and the United Kingdom, for delivery in the United States. The aim of this study was to (a) modify the web platform's features to suit a U.S. population, (b) adapt its functionality to comply with regulatory aspects, and (c) evaluate the credibility and acceptability of the ICBT intervention from the perspective of health care professionals and patients with bothersome tinnitus.

Materials/Method

Initially, the iTerapi ePlatform developed in Sweden was adopted for use in the United States. Functional adaptations followed to ensure that the platform's functional and security features complied with both institutional and governmental regulations and that it was suitable for a U.S. population. Following these adaptations, credibility and acceptance of the materials were evaluated by both health care professionals (
n
= 11) and patients with bothersome tinnitus (
n
= 8).

Results

Software safety and compliance regulatory assessments were met. Health care professionals and patients reported favorable acceptance and satisfaction ratings regarding the content, suitability, presentation, usability, and exercises provided in the ICBT platform. Modifications to the features and functionality of the platform were made according to user feedback.

Conclusions

Ensuring that the ePlatform employed the appropriate features and functionalities for the intended population was essential to developing the Internet-based interventions. The favorable user evaluations indicated that the intervention materials were appropriate for the tinnitus population in the United States.
Depression in Poststroke Aphasia
Authors: Laures-Gore Jacqueline S. , Dotson Vonetta M. , Belagaje Samir
Published: July 2020

Purpose

The aim of this tutorial is to provide speech-language pathologists with foundational knowledge of poststroke depression comorbidly occurring with aphasia. Given the negative effect of depression on functional outcomes and mortality, it is crucial that speech-language pathologists possess this knowledge in order to better advocate for and treat their patients.

Method and Results

Three areas of complementary expertise (speech-language pathology, psychology, and neurology) collaborated on this tutorial to address the following areas: (a) provide terminology associated with depression and related mood disorders, (b) describe the potential underlying pathophysiology of depression in the general population, (c) provide an overview of our existing understanding of comorbid poststroke depression and aphasia, and (d) summarize current assessment methods and interventions for poststroke depression in adults with aphasia.

Conclusion

Given the compounding impact aphasia and depression have on rehabilitation outcomes, it is imperative that speech-language pathologists understand terminology, assessment, and treatment practices for depression.
GREGOR: Optics redesign and updates from 2018–2020
Authors: Kleint Lucia , Berkefeld Thomas , Esteves Miguel , Sonner Thomas , Volkmer Reiner , Gerber Karin , Krämer Felix , Grassin Olivier , Berdyugina Svetlana
Published: July 2020

The GREGOR telescope was inaugurated in 2012. In 2018, we began a complete upgrade, involving optics, alignment, instrumentation, mechanical upgrades for vibration reduction, updated control systems, and building enhancements, and in addition, adapted management and policies. This paper describes all major updates performed during this time. Since 2012, all powered mirrors except for M1 were exchanged. Since March 2020, GREGOR observes with diffraction-limited performance and a new optics and instrument layout.
Home Automation Using Chatbot and Voice Assistant
Authors: Kadali Bhavyasri , Prasad Neha , Kudav Pranaya , Deshpande Manoj
Published: July 2020

In a world with ever increasing needs for comfort, human race is relying more and more on technological advancements to find solutions to their problems. Home Automation Systems have become a go-to arena in the recent years. In the following paper, we propose a Home Automation system that uses a wholesome blending of some technologies like Internet of Things, Natural Language Processing and Machine Learning. The prime feature of this system is that, it provides two modes of communication to the user : Text and Voice. The text input from the user will be given via a Chatbot Application and the voice input from the user will be given via a voice assistant. The input will undergo Natural Language Processing to find the action that the user wants the system to perform. The IoT component, Raspberry Pi would perform the actuations in the form of switching On or Off of Lights and Fans of a room in the house.
Indian Language Identification using Deep Learning
Authors: Godbole Shubham , Jadhav Vaishnavi , Birajdar Gajanan
Published: July 2020

Spoken language is the most regular method of correspondence in this day and age. Endeavours to create language recognizable proof frameworks for Indian dialects have been very restricted because of the issue of speaker accessibility and language readability. However, the necessity of SLID is expanding for common and safeguard applications day by day. Feature extraction is a basic and important procedure performed in LID. A sound example is changed over into a spectrogram visual portrayal which describes a range of frequencies in regard with time. Three such spectrogram visuals were generated namely Log Spectrogram, Gammatonegram and IIR-CQT Spectrogram for audio samples from the standardized IIIT-H Indic Speech Database. These visual representations depict language specific details and the nature of each language. These spectrograms images were then used as an input to the CNN. Classification accuracy of 98.86% was obtained using the proposed methodology.
Spectrum Sensing Using Energy Detector in Rayleigh Fading Channel
Authors: Patil Hemlata , Nekkanti Sai Vennela , Negi Disha , Masanagi Nikita , More Sakshi
Published: July 2020

Cognitive Radio, which is an adaptive and intelligent radio has an important feature called spectrum sensing. It monitors the presence or absence of the authorized users in a fixed or licensed spectrum. There is a rise in the use of wireless communications in recent times, which has led to the underutilization of the available bandwidth. This problem can be solved to some extent by using cognitive radio technology. Cognitive radio gives an opportunity for unauthorized users to use the licensed spectrum, resourcefully, when not in use. Using spectrum sensing energy detection methods, the existence of authorized users, in various fading channels can be done. The operating characteristics of the receiver can be analyzed using parameters of performance like signal to noise ratio, probability of false-alarm, probability of detection. In this paper we assess Rayleigh fading channel and compare with AWGN (non- fading) channel. Theoretical and simulated results are compared, and observations are being made.
A Compression Algorithm for DNA Palindrome Compression Technique
Authors: Suneetha D. , Kishore D. Rathna , Babu P. Narendra
Published: July 2020

Data Compression in Cryptography is one of the interesting research topic. The compression process reduces the amount of transferring data as well as storage space which in turn effects the usage of bandwidth. Further, when a plain text is converted to cipher text, the length of the cipher text becomes large. This adds up to tremendous information storing. It is extremely important to address the storage capacity issue along with the security issues of exponentially developing information. This problem can be resolved by compressing the ciphertext based on a some compression algorithm. In this proposed work used the compression technique called palindrome compression technique. The compression ratio of the proposed method is better than the standard method for both colored and gray scaled images. An experimental result for the proposed methods is better than existing methods for different types of image.
Imputation of missing data in time series by different computation methods in various data set applications
Authors: Magare Dhiraj , Labde Sushil , Gofane Manoj , Vyawahare Vishwesh
Published: July 2020

In a modern technology generation, big volumes of data are evolved under numerous operations compared to an earlier era. However, collection of data without missing single value, is a great challenge ahead. In practice, there are many solutions suggested to avoid the missing values in time series applications. The existing methods used in imputation and their prediction with time series, varies with applications. The existing methods mostly available for imputation are least squares support vector machine (LSSVM), autoregressive integrated moving average models (ARIMA), Artificial Neural Network (ANN), Artificial Intelligence (AI) techniques, state space models, Kalman filtering and fuzzy model. The extensive experimental application data is used to analyze these methods. In addition, a synthetic set of data can also be used to forecast missing value, which improves performance of imputation methods in time series. In this paper, predominantly used imputation methods have been listed with their fundamental computational information along with their verification on set of data mentioned.
Deep Learning- Based Surveillance System using Face Recognition
Authors: Kapil Divya , Kamtam Aishwarya , Kedare Akhil , Bharne Smita
Published: July 2020

Surveillance systems are used for the monitoring the activities directly or indirectly. Most of the surveillance system uses the face recognition techniques to monitor the activities. This system builds the automated contemporary biometric surveillance system based on deep learning. The application of the system can be used in various ways. The face prints of the persons will be stored inside the database with relevant statistics and does the face recognition. When any unknown face is recognized then alarm will ring so one can alert the security systems and in addition actions will be taken. The system learns changes while detecting faces automatically using deep learning and gain correct accuracy in face recognition. A deep learning method including Convolutional Neural Network (CNN) is having great significance in the area of image processing. This system can be applicable to monitor the activities for the housing society premises.
Blockchain Enabled Online-Voting System
Authors: Shah Akhil , Sodhia Nishita , Saha Shruti , Banerjee Soumi , Chavan Madhuri
Published: July 2020

A blockchain-enabled online-voting system is being proposed in this following paper. Blockchain technologies deliver an endless variety of applications that benefit from distributed economies. The proposed model is an android application that has enhanced security features which includes both authentication and authorization. Authentication is incorporated by using a unique identification key and authorization is done by using fingerprint. Voters are also being verified by One-time password. The security in this project is implemented by using a 128 bit AES encryption algorithm and SHA-256 along with blockchain. The vote is casted in the form of transaction, where a blockchain is created, which keeps track of tallies of votes. Through this atomicity and integrity are maintained. [4]

Index Terms—Voting System , Blockchain , SHA-256, Security, AES-128, Ballot
Original vs Counterfeit Indian Currency Detection
Authors: Kulkarni Anushka , Kedar Prachi , Pupala Aishwarya , Shingane Priyanka
Published: July 2020

Currency is used to carry out not only business but also for various other transactions to get access to various services and commodities. There are a total of 7 denominations for the Indian currency each with unique features to distinguish them from each other and with various and distinct security features to prevent them from fraudulent copying. However,with the evolution of technology, there is also an increase in the ways in which fake forms of these currencies are created. These fake or counterfeit notes have various ill-effect on society. The proposed system will be used to check the genuine Indian currency notes and to find the denomination of the currency note. Comparative study for various image processing algorithms was conducted to identify and select the one which will be able to extract more prominent features,and is also better in terms of processing time,outlier rejection, efficiency in computation and in feature matching. After which a real time system is created for currency detection in real time.
Power Consumption Optimization in IoT based Wireless Sensor Node Using ESP8266
Authors: Gowda Manushri , Gowda Jnanavi , Iyer Sahil , Pawar Manaswi , Gaikwad Vishal
Published: July 2020

In this paper, we present the design and prototype implementation of a weather monitoring system for a college campus powered by a renewable energy source which is based on solar panel for remote applications. The device is powered with the help of rechargeable battery which is recharged through solar energy. Sensors are connected to the device and device uploads these sensor data on cloud with the help of Wi-Fi and internet connection. The main objective of this research is to power this device on renewable energy and continuous sensor data uploading on cloud. To keep device in running mode on battery and to save power deep sleep function of the device is used which consume very less power, which makes it sufficient to run on solar power for long time.
Secure Dissemination and Protection of Raster Data using Merkle Hash Tree based Cryptowatermarking
Authors: Chaudhari Sangita Santosh
Published: July 2020

Due to rapid development in the Internet and other communication technologies, it becomes quite easy to copy and distribute multiple illegal copies of high value and sensitive data. Raster data is one of the high voluminous data and it requires huge efforts to sense and generate this data. Therefore, ownership protection as well as its integrity become one of the key problems in spatial information service. There are lot many schemes are available for watermarking and encryption individually, but if both are combined gives manifold advantages. This paper presents a cryptowatermarking scheme by combining watermarking and encryption to protect the copyright of raster data as well as to provide security dissemination level. We have proposed a scheme by employing double transposition, LSB substitution watermarking and Merkle Hash Tree for encryption and watermarking. It has been observed that the proposed scheme is not only robust against encryption attacks, but also has transparency, strongness, large data hiding capacity and correct extraction of watermark.
Electronic Orientation Aid for Visually Impaired using Graphics Processing Unit (GPU)
Authors: Parab Akshata , Nagare Rashmi , Kolambekar Omkar , Patil Parag
Published: July 2020

Vision is one of the very essential human senses and it plays a major role in human perception about surrounding environment. But for people with visual impairment their definition of vision is different. Visually impaired people are often unaware of dangers in front of them, even in familiar environment. This study proposes a real time guiding system for visually impaired people for solving their navigation problem and to travel without any difficulty. This system will help the visually impaired people by detecting the objects and giving necessary information about that object. This information may include what the object is, its location, its precision, distance from the visually impaired etc. All these information will be conveyed to the person through audio commands so that they can navigate freely anywhere anytime with no or minimal assistance. Object detection is done using You Only Look Once (YOLO) algorithm. As the process of capturing the video/images and sending it to the main module has to be carried at greater speed, Graphics Processing Unit (GPU) is used. This will help in enhancing the overall speed of the system and will help the visually Impaired to get the maximum necessary instructions as quickly as possible. The process starts from capturing the real time video, sending it for analysis and processing and get the calculated results. The results obtained from analysis are conveyed to user by means of hearing aid. As a result by this system the blind or the visually impaired people can visualize the surrounding environment and travel freely from source to destination on their own.
Effect of titanium on the skull formation of the blast furnace hearth
Authors: Li Yan , Jian Tingfang , Ma Tongxiang , Hu Meilong , Gao Leizhang , Yang Yu
Published: July 2020

The erosion of the blast furnace hearth has become one of the key factors affecting the life of the blast furnace, because of the limited on-line monitoring and control means in the blast furnace hearth area, the burn-through accidents of the blast furnace hearth and bottom occur occasionally. In this work, based on the self-built platform of heat flow regulation, the control mechanism of the high melting phases of TiC is studied. The on-line control mechanism of the hearth erosion by adding titanium-containing materials was discussed. There are three steps for the on-line control of iromaking using titanium-containing materials in blast furnace. Firstly, Ti(C, N) precipitated from the molten iron due to the decrease of temperature in the erosion zone of the hearth. Secondly, the viscosity of the molten iron increased with the precipitation of Ti(C, N) in the erosional cryogenic zone and temperature further decreasing. Finally, the protective layer, included pig iron matrix and Ti(C, N) solid fulcrum, formed because of the solidification of the molten iron. The protective layer can replace the corroded lining of the blast furnace to prevent its hearth from being eroded.
Les producteurs professionnels de données sur la biodiversité face aux « big data » en écologie
Authors: Arpin Isabelle
Published: July 2020

Ce texte explore les réactions des producteurs professionnels de données au découplage entre production et utilisation de données sur la biodiversité, qui constitue, dans ce domaine, un phénomène marquant de la période actuelle. Cinq types de réactions sont identifiés : la satisfaction des producteurs que leurs données soient reprises par des spécialistes de l’analyse des données, leur attachement à des protocoles critiqués, leur intérêt pour des données jugées anecdotiques, la rétention de données et l’expression de scrupules face à l’extension de la production de données. Ce travail exploratoire montre que celle-ci revêt de multiples dimensions et remplit plusieurs fonctions, qui peuvent être altérées par le découplage entre producteurs et utilisateurs de données. Il invite également à prêter attention aux questionnements éthiques de ces producteurs.
Screening for Occult Cancer in Patients with Venous Thromboembolism: Past, Present, and Future
Authors: van Es Nick , Ay Cihan , Jara-Palomares Luis
Published: July 2020

A strong link between cancer and thrombosis has been well recognized. The occurrence of venous thromboembolism (VTE) can be the first clinical sign of an undiagnosed (i.e., occult) cancer. Cancer is more often diagnosed after unprovoked compared with provoked VTE events, with a reported risk in recent studies of around 5%. Extensive, imaging-based screening strategies to detect occult cancer after unprovoked VTE do not appear to have a clear clinical benefit compared with a more limited cancer screening. To identify patients with unprovoked VTE at high risk of occult cancer, risk factors have been explored and prediction models developed. Relevant risk factors for occult cancer include male sex, age, anemia, chronic lung disease, and thrombocytosis. Studies with preselection of patients based on risk assessment and evaluation of limited versus extensive screening strategies are currently ongoing. Also, novel and promising approaches for early detection of cancer in patients with unprovoked VTE by means of liquid biopsies, which include analysis of circulating tumor cells, cell-free tumor DNA, proteomics, or platelet mRNA sequencing, are currently under investigation. In this review, we provide an overview of the risk of cancer diagnosis after VTE, discuss the studies which investigated different screening strategies for occult cancer, summarize risk factors and risk scoring models for identification of patients at high risk of cancer diagnosis after VTE, and highlight ongoing research to optimize screening and identification of patients at risk of occult cancer, which will shape the future clinical practice.